[
  {
    "path": "README.md",
    "content": "# Deep Learning for Computer Vision Courses\r\n\r\n## General info\r\n\r\nI present my assignment solutions for both 2020 course offerings: **Stanford University CS231n** (CNNs for Visual Recognition) and **University of Michigan EECS 498-007/598-005** (Deep Learning for Computer Vision).\r\n\r\n### Review\r\n\r\nAfter reading enormous positive reviews about CS231n, I decided to dive in by myself into the course lectures which, as expected, were great with well-presented and explained topics (thanks to the instructors) that covers a plethora of Machine Learning / Deep Learning concepts (not only computer vision related), theoretically (via lectures, slides and extra reading content) and practically (via the well-designed assignments).\r\n\r\nDepending on your ML understanding (especially, statistics, algebra and Python programming with NumPy package) this course can be challenging since the topics are covered from the fundamentals (actually, from scratch, going through all the math behind). Even me, having a mathematical background, I found myself struggled with some advanced topics (like Variational Autoencoders), which pushed me to review some maths/stats formulas. That being said, most of the course materials aren't that difficult and even so, all the putted efforts and spent time are totally worth it, you will learn a lot.\r\n\r\nIn parallel to CS231n, I took also its Michigan's updated equivalent EECS 498-007 (abbreviated, as there is a lot of numbers in the course's title), because:\r\n\r\n- For CS231n, only 2016 and 2017 lectures are available, which is a little bit old given the fast progress in ML in general. However, this concerns only some topics and even that, the old lectures are still worthy to watch.\r\n\r\n- For EECS 498-007, the 2019 lectures are available. They cover more topics (like Attention, 3D, Video, etc.), and the ones existing in CS231n are updated, and some topics are explained in more detail (like Object detection and VAEs). This novelty concerns also the assignments.\r\n\r\nThe similarity between the two courses is related to the fact that one of CS231n's main instructors (precisely, Justin Johnson) moved from Stanford to Michigan in 2019.\r\n\r\n### Assignments\r\n\r\nAssignments are the funniest part of the courses, they allow practicing most of the learned theoretical concepts. That is, you will implement vectorized mathematical formulas, gradient descent (be prepared to spend some hours with a pen and a sheet figuring out how to compute formula gradients), neural networks (among others: CNNs and RNNs) from scratch, etc. . That being said, in advanced assignment parts, you will also use high-level frameworks: TensorFlow and PyTorch.\r\n\r\nAssignment questions are in form of Jupyter notebooks that call external Python files in order to execute properly. That is, you will mostly implement missing parts in the Python files and execute notebook's cells to check the correctness of your implementation. However, you'll write also some code in the notebooks and respond to inline questions (result analysis and theoretical questions).\r\n\r\nFor my implementation, I solved all from the three CS231n assignments, for the questions that use frameworks, they ask to pick only one, and for that I choosed PyTorch. That is, questions that require framework were implemented with PyTorch (and not with TensorFlow). For EECS 498-007, since its assignments are similar to the CS231n ones, I solved only those who bring new concepts, precisely A4 (partially, the first two questions about Residual Networks and Attention LSTM), A5 (Object detection: YOLO and Faster RCNN) and A6 (partially, the 1st question about VAEs). For EECS 498-007, there is no choice, only PyTorch is used (which fits perfectly with my choice of using it also in CS231n).\r\n\r\nNote that, even that my coding solutions are probably correct, the CS231n assignments contain inline questions for which I'm not sure about their correctness, I just responded as well as I know. Also, Except for the CS231n first assignment (which is less commented), for the remaining assignments, I tried to comment on my code as richly as I can to make it understandable.\r\n\r\n### Repository Structure\r\n\r\nThe repository file's structure is quite intuitive, there are two folders (one for each course), each one with its sub-folders that represent the assignments (three for both, CS231n and EECS 498-007). Note that for each assignment's folder, I put a README which shows covered topics and question descriptions (copied from the assignment's website).\r\n\r\nIn the rest of this README, I will present a [quick access to the assignments files](#assignment-files), [useful links](#useful-links), some [obtained results](#result-examples) and [credits](#credits).\r\n\r\n### Courses' Materials Links\r\n\r\nThe table below shows relevant links to both courses' materials.\r\n\r\n| Relevent info | CS231n | EECS 498-007 |\r\n|:-:|:-:|:-:|\r\n| Official website | [[2020]](http://cs231n.stanford.edu/2020/index.html), [[2017]](http://cs231n.stanford.edu/2017/index.html)  | [[2020]](https://web.eecs.umich.edu/~justincj/teaching/eecs498/FA2020/), [[2019]](https://web.eecs.umich.edu/~justincj/teaching/eecs498/FA2019/) |\r\n| Lectures playlist | [[2017]](https://www.youtube.com/playlist?list=PL3FW7Lu3i5JvHM8ljYj-zLfQRF3EO8sYv), [[2016]](https://www.youtube.com/playlist?list=PLkt2uSq6rBVctENoVBg1TpCC7OQi31AlC) | [[2019]](https://www.youtube.com/playlist?list=PL5-TkQAfAZFbzxjBHtzdVCWE0Zbhomg7r) |\r\n| Syllabus | [[2020]](http://cs231n.stanford.edu/2020/syllabus.html), [[2017]](http://cs231n.stanford.edu/2017/syllabus) | [[2020]](https://web.eecs.umich.edu/~justincj/teaching/eecs498/FA2020/schedule.html), [[2019]](https://web.eecs.umich.edu/~justincj/teaching/eecs498/FA2019/schedule.html) |\r\n\r\n## Assignment Files\r\n\r\n### CS231n: Convolutional Neural Networks for Visual Recognition\r\n\r\n#### Assignment 1\r\n\r\n**Modified Python files:** [``k_nearest_neighbor.py``](cs231n/assignment1/cs231n/classifiers/k_nearest_neighbor.py), [``linear_classifier.py``](cs231n/assignment1/cs231n/classifiers/linear_classifier.py), [``linear_svm.py``](cs231n/assignment1/cs231n/classifiers/linear_svm.py), [``softmax.py``](cs231n/assignment1/cs231n/classifiers/softmax.py), [``neural_net.py``](cs231n/assignment1/cs231n/classifiers/neural_net.py).\r\n\r\n| Question |                     Title                    |                          IPython Notebook                         |\r\n|:--------:|:--------------------------------------------:|:-----------------------------------------------------------------:|\r\n|    Q1    |         k-Nearest Neighbor classifier        |           [``knn.ipynb``](cs231n/assignment1/knn.ipynb)           |\r\n|    Q2    |       Training a Support Vector Machine      |           [``svm.ipynb``](cs231n/assignment1/svm.ipynb)           |\r\n|    Q3    |        Implement a Softmax classifier        |       [``softmax.ipynb``](cs231n/assignment1/softmax.ipynb)       |\r\n|    Q4    |           Two-Layer Neural Network           | [``two_layer_net.ipynb``](cs231n/assignment1/two_layer_net.ipynb) |\r\n|    Q5    | Higher Level Representations: Image Features |      [``features.ipynb``](cs231n/assignment1/features.ipynb)      |\r\n\r\n#### Assignment 2\r\n\r\n**Modified Python files:** [``layers.py``](cs231n/assignment2/cs231n/layers.py), [``optim.py``](cs231n/assignment2/cs231n/optim.py), [``fc_net.py``](cs231n/assignment2/cs231n/classifiers/fc_net.py), [``cnn.py``](cs231n/assignment2/cs231n/classifiers/cnn.py).\r\n\r\n| Question |               Title              |                                  IPython Notebook                                 |\r\n|:--------:|:--------------------------------:|:---------------------------------------------------------------------------------:|\r\n|    Q1    |  Fully-connected Neural Network  |    [``FullyConnectedNets.ipynb``](cs231n/assignment2/FullyConnectedNets.ipynb)    |\r\n|    Q2    |        Batch Normalization       |    [``BatchNormalization.ipynb``](cs231n/assignment2/BatchNormalization.ipynb)    |\r\n|    Q3    |              Dropout             |               [``Dropout.ipynb``](cs231n/assignment2/Dropout.ipynb)               |\r\n|    Q4    |      Convolutional Networks      | [``ConvolutionalNetworks.ipynb``](cs231n/assignment2/ConvolutionalNetworks.ipynb) |\r\n|    Q5    | PyTorch / TensorFlow on CIFAR-10 |               [``PyTorch.ipynb``](cs231n/assignment2/PyTorch.ipynb)               |\r\n\r\n#### Assignment 3\r\n\r\n**Modified Python files:** [``rnn_layers.py``](cs231n/assignment3/cs231n/rnn_layers.py), [``rnn.py``](cs231n/assignment3/cs231n/classifiers/rnn.py), [``net_visualization_pytorch.py``](cs231n/assignment3/cs231n/net_visualization_pytorch.py), [``style_transfer_pytorch.py``](cs231n/assignment3/cs231n/style_transfer_pytorch.py), [``gan_pytorch.py``](cs231n/assignment3/cs231n/gan_pytorch.py).\r\n\r\n| Question |                Title               |                                                    IPython Notebook                                                   |\r\n|:--------:|:----------------------------------:|:---------------------------------------------------------------------------------------------------------------------:|\r\n|    Q1    | Image Captioning with Vanilla RNNs |                          [``RNN_Captioning.ipynb``](cs231n/assignment3/RNN_Captioning.ipynb)                          |\r\n|    Q2    |     Image Captioning with LSTMs    |                         [``LSTM_Captioning.ipynb``](cs231n/assignment3/LSTM_Captioning.ipynb)                         |\r\n|    Q3    |        Network Visualization       |            [``NetworkVisualization-PyTorch.ipynb``](cs231n/assignment3/NetworkVisualization-PyTorch.ipynb)            |\r\n|    Q4    |           Style Transfer           |                   [``StyleTransfer-PyTorch.ipynb``](cs231n/assignment3/StyleTransfer-PyTorch.ipynb)                   |\r\n|    Q5    |   Generative Adversarial Networks  | [``Generative_Adversarial_Networks_PyTorch.ipynb``](cs231n/assignment3/Generative_Adversarial_Networks_PyTorch.ipynb) |\r\n\r\n### EECS 498-007 / 598-005: Deep Learning for Computer Vision\r\n\r\n#### Assignment 4\r\n\r\n**Modified Python files:** [``pytorch_autograd_and_nn.py``](eecs498-007/A4/pytorch_autograd_and_nn.py), [``rnn_lstm_attention_captioning.py``](eecs498-007/A4/rnn_lstm_attention_captioning.py), [``network_visualization.py``](eecs498-007/A4/network_visualization.py), [``style_transfer.py``](eecs498-007/A4/style_transfer.py).\r\n\r\n| Question |                      Title                      |                                        IPython Notebook                                       |\r\n|:--------:|:-----------------------------------------------:|:---------------------------------------------------------------------------------------------:|\r\n|    Q1    |                 PyTorch Autograd                |       [``pytorch_autograd_and_nn.ipynb``](eecs498-007/A4/pytorch_autograd_and_nn.ipynb)       |\r\n|    Q2    | Image Captioning with Recurrent Neural Networks | [``rnn_lstm_attention_captioning.ipynb``](eecs498-007/A4/rnn_lstm_attention_captioning.ipynb) |\r\n|    Q3    |              Network Visualization              |         [``network_visualization.ipynb``](eecs498-007/A4/network_visualization.ipynb)         |\r\n|    Q4    |                  Style Transfer                 |                [``style_transfer.ipynb``](eecs498-007/A4/style_transfer.ipynb)                |\r\n\r\n#### Assignment 5\r\n\r\n**Modified Python files:** [``single_stage_detector.py``](eecs498-007/A5/single_stage_detector.py), [``two_stage_detector.py``](eecs498-007/A5/two_stage_detector.py).\r\n\r\n| Question |         Title         |                                         IPython Notebook                                        |\r\n|:--------:|:---------------------:|:-----------------------------------------------------------------------------------------------:|\r\n|    Q1    | Single-Stage Detector |     [``single_stage_detector_yolo.ipynb``](eecs498-007/A5/single_stage_detector_yolo.ipynb)     |\r\n|    Q2    |   Two-Stage Detector  | [``two_stage_detector_faster_rcnn.ipynb``](eecs498-007/A5/two_stage_detector_faster_rcnn.ipynb) |\r\n\r\n#### Assignment 6\r\n\r\n**Modified Python files:** [``vae.py``](eecs498-007/A6/vae.py), [``gan.py``](eecs498-007/A6/gan.py).\r\n\r\n| Question |              Title              |                                          IPython Notebook                                         |\r\n|:--------:|:-------------------------------:|:-------------------------------------------------------------------------------------------------:|\r\n|    Q1    |     Variational Autoencoder     |        [``variational_autoencoders.ipynb``](eecs498-007/A6/variational_autoencoders.ipynb)        |\r\n|    Q2    | Generative Adversarial Networks | [``generative_adversarial_networks.ipynb``](eecs498-007/A6/generative_adversarial_networks.ipynb) |\r\n\r\n## Useful Links\r\n\r\nThe list below provides the most useful external resources that helped me to clarify and understand deeply some ambiguous topics encountered in the lectures. Note that those are only the most important ones, that is, completely understanding them will maybe require checking other -not mentioned- resources.\r\n\r\n- Convolutional Neural Networks (CNNs).\r\n  - CNNs implementation from scratch in Python [[Part 1]](https://victorzhou.com/blog/intro-to-cnns-part-1/) [[Part 2]](https://victorzhou.com/blog/intro-to-cnns-part-2/).\r\n  - [A guide to receptive field arithmetic for CNNs](https://medium.com/mlreview/a-guide-to-receptive-field-arithmetic-for-convolutional-neural-networks-e0f514068807).\r\n\r\n- Normalization layers.\r\n  - [Understanding the backward pass through Batch Normalization Layer](https://kratzert.github.io/2016/02/12/understanding-the-gradient-flow-through-the-batch-normalization-layer.html) (Staged computation method).\r\n  - [Deriving the Gradient for the Backward Pass of Batch Normalization](https://kevinzakka.github.io/2016/09/14/batch_normalization/) (Gradient derivation method).\r\n  - [Group Normalization - The paper](https://arxiv.org/abs/1803.08494) (Concept and implementation well explained).\r\n\r\n- Principal Component Analysis (PCA).\r\n  - [Principal Component Analysis (PCA) from Scratch](https://drscotthawley.github.io/blog/2019/12/21/PCA-From-Scratch.html) (Covariance matrix method).\r\n  - StatQuest: PCA (SVD Decomposition method) [[Part 1]](https://youtu.be/FgakZw6K1QQ) [[Part 2]](https://youtu.be/oRvgq966yZg).\r\n  - [In Depth: Principal Component Analysis](https://jakevdp.github.io/PythonDataScienceHandbook/05.09-principal-component-analysis.html) (Using Sklearn package).\r\n\r\n- Object Detection.\r\n  - [mAP (mean Average Precision) for Object Detection](https://jonathan-hui.medium.com/map-mean-average-precision-for-object-detection-45c121a31173).\r\n  - Object Detection for Dummies [[Part 1]](https://lilianweng.github.io/lil-log/2017/10/29/object-recognition-for-dummies-part-1.html) [[Part 2]](https://lilianweng.github.io/lil-log/2017/12/15/object-recognition-for-dummies-part-2.html) [[Part 3]](https://lilianweng.github.io/lil-log/2017/12/31/object-recognition-for-dummies-part-3.html) [[Part 4]](https://lilianweng.github.io/lil-log/2018/12/27/object-detection-part-4.html).\r\n\r\n- Variational Autoencoders (VAEs).\r\n  - [Kullback-Leibler (KL) Divergence Explained](https://www.countbayesie.com/blog/2017/5/9/kullback-leibler-divergence-explained).\r\n  - [Variational autoencoders](https://www.jeremyjordan.me/variational-autoencoders/).\r\n  - [Variational Autoencoder Demystified With PyTorch Implementation](https://towardsdatascience.com/variational-autoencoder-demystified-with-pytorch-implementation-3a06bee395ed).\r\n\r\n- Generative Adversarial Networks (GANs).\r\n  - [GANs from Scratch: A deep introduction, with code in PyTorch](https://medium.com/ai-society/gans-from-scratch-1-a-deep-introduction-with-code-in-pytorch-and-tensorflow-cb03cdcdba0f).\r\n  - [GAN objective function origin explanation](https://ai.stackexchange.com/a/13038).\r\n  - [Google DeepMind: Generative Adversarial Networks](https://youtu.be/wFsI2WqUfdA).\r\n\r\n## Result Examples\r\n\r\nAs mentioned previously, assignments are the funniest part of the courses. In this section, I will provide some interesting obtained results. That being said, during assignment solving, you will encounter other amazing results, here I just picked some of them.\r\n\r\n### Class Visualization\r\n\r\nConsists of generating a synthetic image that will maximize some class score. Illustrations shown below are generated by applying this technique on a pre-trained CNN on ImageNet dataset. You can see the changes on the synthetic image during training for different classes (categories). Even that those images are not understandable (because they are supposed to maximize scores, not to be pretty) you can identify some specific patterns/shapes for these particular classes.\r\n\r\n| ![Analog Clock](examples/analog_clock.gif) | ![Dining Table](examples/dining_table.gif) | ![Kit Fox](examples/kit_fox.gif) | ![Tarantula](examples/tarantula.gif) |\r\n|:------------------------------------------:|:------------------------------------------:|:--------------------------------:|:------------------------------------:|\r\n|                Analog Clock                |                Dining Table                |              Kit Fox             |               Tarantula              |\r\n\r\n### GANs\r\n\r\nThe goal of Generative Adversarial Networks is to generate novel data (in our case, images) that mimic the original data from a dataset. Illustrations below were generated by training three types of GANs (on left: The most basic one, on right: The most advanced one) on the MNIST dataset. You can see the changes on the generated images during training, from completely noisy to reasonable images (that do not exist in the dataset).\r\n\r\n| ![Vanilla GAN](examples/vanilla_gan.gif) | ![DCGAN](examples/dcgan.gif) |\r\n|:----------------------------------------:|:----------------------------:|\r\n|                Vanilla GAN               |             DCGAN            |\r\n\r\n### Style Transfer\r\n\r\nConsists of applying a style from an artistic drawing on an input image. The illustration below shows the result of applying different styles on two images.\r\n\r\n| ![Style transfer](examples/style_transfer.png) |\r\n|:-:|\r\n| Style transfer applied on two images.<br>Drawing credits (from left to the right): [The Scream](https://artsandculture.google.com/asset/the-scream-edvard-munch/eQFdRTFKDtVQ1A), [Bicentennial Print](https://artsandculture.google.com/asset/bicentennial-print-roy-lichtenstein/TAHrv5B7P6vh1A), [Horses on the Seashore](https://artsandculture.google.com/asset/horses-on-the-seashore/-wFNr8bqc58Ghw), [Head of a Clown](https://artsandculture.google.com/asset/head-of-a-clown/CQHMqKf7DRo76w) and [The Starry Night](https://artsandculture.google.com/asset/the-starry-night-vincent-van-gogh/bgEuwDxel93-Pg). |\r\n\r\n## Credits\r\n\r\nI would like to thank everyone involved, directly or indirectly, for making such a great course freely available for everyone. Especially, the instructors: [Fei-Fei Li](https://profiles.stanford.edu/fei-fei-li), [Andrej Karpathy](https://karpathy.ai/), [Serena Yeung](http://ai.stanford.edu/~syyeung/) and [Justin Johnson](https://web.eecs.umich.edu/~justincj/).\r\n"
  },
  {
    "path": "cs231n/assignment1/README.md",
    "content": "<div>\r\n  <h2 align=\"center\"><a href=\"https://cs231n.github.io\">CS231n: Convolutional Neural Networks for Visual Recognition</a></h2>\r\n  <h2 align=\"center\"><a href=\"https://cs231n.github.io/assignments2020/assignment1/\">Assignment 1 (2020)</a></h3>\r\n</div>\r\n\r\n# Goals\r\n\r\nIn this assignment you will practice putting together a simple image classification pipeline based on the k-Nearest Neighbor or the SVM/Softmax classifier. The goals of this assignment are as follows:\r\n\r\n- Understand the basic **Image Classification pipeline** and the data-driven approach (train/predict stages).\r\n- Understand the train/val/test **splits** and the use of validation data for **hyperparameter tuning**.\r\n- Develop proficiency in writing efficient **vectorized** code with numpy.\r\n- Implement and apply a k-Nearest Neighbor (**kNN**) classifier.\r\n- Implement and apply a Multiclass Support Vector Machine (**SVM**) classifier.\r\n- Implement and apply a **Softmax** classifier.\r\n- Implement and apply a **Two layer neural network** classifier.\r\n- Understand the differences and tradeoffs between these classifiers.\r\n- Get a basic understanding of performance improvements from using **higher-level representations** as opposed to raw pixels, e.g. color histograms, Histogram of Gradient (HOG) features, etc.\r\n\r\n# Questions\r\n\r\n## Q1: k-Nearest Neighbor classifier\r\n\r\nThe notebook [``knn.ipynb``](knn.ipynb) will walk you through implementing the kNN classifier.\r\n\r\n## Q2: Training a Support Vector Machine\r\n\r\nThe notebook [``svm.ipynb``](svm.ipynb) will walk you through implementing the SVM classifier.\r\n\r\n## Q3: Implement a Softmax classifier\r\n\r\nThe notebook [``softmax.ipynb``](softmax.ipynb) will walk you through implementing the Softmax classifier.\r\n\r\n## Q4: Two-Layer Neural Network\r\n\r\nThe notebook [``two_layer_net.ipynb``](two_layer_net.ipynb) will walk you through the implementation of a two-layer neural network classifier.\r\n\r\n## Q5: Higher Level Representations: Image Features\r\n\r\nThe notebook [``features.ipynb``](features.ipynb) will examine the improvements gained by using higher-level representations as opposed to using raw pixel values.\r\n"
  },
  {
    "path": "cs231n/assignment1/cs231n/__init__.py",
    "content": ""
  },
  {
    "path": "cs231n/assignment1/cs231n/classifiers/__init__.py",
    "content": "from cs231n.classifiers.k_nearest_neighbor import *\nfrom cs231n.classifiers.linear_classifier import *\n"
  },
  {
    "path": "cs231n/assignment1/cs231n/classifiers/k_nearest_neighbor.py",
    "content": "from builtins import range\nfrom builtins import object\nimport numpy as np\nfrom past.builtins import xrange\n\n\nclass KNearestNeighbor(object):\n    \"\"\" a kNN classifier with L2 distance \"\"\"\n\n    def __init__(self):\n        pass\n\n    def train(self, X, y):\n        \"\"\"\n        Train the classifier. For k-nearest neighbors this is just\n        memorizing the training data.\n\n        Inputs:\n        - X: A numpy array of shape (num_train, D) containing the training data\n          consisting of num_train samples each of dimension D.\n        - y: A numpy array of shape (N,) containing the training labels, where\n             y[i] is the label for X[i].\n        \"\"\"\n        self.X_train = X\n        self.y_train = y\n\n    def predict(self, X, k=1, num_loops=0):\n        \"\"\"\n        Predict labels for test data using this classifier.\n\n        Inputs:\n        - X: A numpy array of shape (num_test, D) containing test data consisting\n             of num_test samples each of dimension D.\n        - k: The number of nearest neighbors that vote for the predicted labels.\n        - num_loops: Determines which implementation to use to compute distances\n          between training points and testing points.\n\n        Returns:\n        - y: A numpy array of shape (num_test,) containing predicted labels for the\n          test data, where y[i] is the predicted label for the test point X[i].\n        \"\"\"\n        if num_loops == 0:\n            dists = self.compute_distances_no_loops(X)\n        elif num_loops == 1:\n            dists = self.compute_distances_one_loop(X)\n        elif num_loops == 2:\n            dists = self.compute_distances_two_loops(X)\n        else:\n            raise ValueError('Invalid value %d for num_loops' % num_loops)\n\n        return self.predict_labels(dists, k=k)\n\n    def compute_distances_two_loops(self, X):\n        \"\"\"\n        Compute the distance between each test point in X and each training point\n        in self.X_train using a nested loop over both the training data and the\n        test data.\n\n        Inputs:\n        - X: A numpy array of shape (num_test, D) containing test data.\n\n        Returns:\n        - dists: A numpy array of shape (num_test, num_train) where dists[i, j]\n          is the Euclidean distance between the ith test point and the jth training\n          point.\n        \"\"\"\n        num_test = X.shape[0]\n        num_train = self.X_train.shape[0]\n        dists = np.zeros((num_test, num_train))\n        for i in range(num_test):\n            for j in range(num_train):\n                #####################################################################\n                # TODO:                                                             #\n                # Compute the l2 distance between the ith test point and the jth    #\n                # training point, and store the result in dists[i, j]. You should   #\n                # not use a loop over dimension, nor use np.linalg.norm().          #\n                #####################################################################\n                # *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n\n                distance_ij = np.square(X[i] - self.X_train[j])\n                distance_ij = np.sqrt(np.sum(distance_ij))\n\n                dists[i, j] = distance_ij\n\n                # *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n        return dists\n\n    def compute_distances_one_loop(self, X):\n        \"\"\"\n        Compute the distance between each test point in X and each training point\n        in self.X_train using a single loop over the test data.\n\n        Input / Output: Same as compute_distances_two_loops\n        \"\"\"\n        num_test = X.shape[0]\n        num_train = self.X_train.shape[0]\n        dists = np.zeros((num_test, num_train))\n        for i in range(num_test):\n            #######################################################################\n            # TODO:                                                               #\n            # Compute the l2 distance between the ith test point and all training #\n            # points, and store the result in dists[i, :].                        #\n            # Do not use np.linalg.norm().                                        #\n            #######################################################################\n            # *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n\n            dists[i, :] = np.sqrt(np.sum(np.square(X[i] - self.X_train), axis=1))\n\n            # *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n        return dists\n\n    def compute_distances_no_loops(self, X):\n        \"\"\"\n        Compute the distance between each test point in X and each training point\n        in self.X_train using no explicit loops.\n\n        Input / Output: Same as compute_distances_two_loops\n        \"\"\"\n        num_test = X.shape[0]\n        num_train = self.X_train.shape[0]\n        dists = np.zeros((num_test, num_train))\n        #########################################################################\n        # TODO:                                                                 #\n        # Compute the l2 distance between all test points and all training      #\n        # points without using any explicit loops, and store the result in      #\n        # dists.                                                                #\n        #                                                                       #\n        # You should implement this function using only basic array operations; #\n        # in particular you should not use functions from scipy,                #\n        # nor use np.linalg.norm().                                             #\n        #                                                                       #\n        # HINT: Try to formulate the l2 distance using matrix multiplication    #\n        #       and two broadcast sums.                                         #\n        #########################################################################\n        # *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n\n        train_matrix_tr = self.X_train.T\n\n        sum_1 = np.sum(np.square(X), axis=1)\n        sum_1 = sum_1.reshape((-1, sum_1.size)).T\n\n        sum_2 = np.sum(np.square(train_matrix_tr), axis=0)\n\n        dists = -2 * X.dot(train_matrix_tr) + sum_1 + sum_2\n        dists = np.sqrt(dists)\n\n        # *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n        return dists\n\n    def predict_labels(self, dists, k=1):\n        \"\"\"\n        Given a matrix of distances between test points and training points,\n        predict a label for each test point.\n\n        Inputs:\n        - dists: A numpy array of shape (num_test, num_train) where dists[i, j]\n          gives the distance betwen the ith test point and the jth training point.\n\n        Returns:\n        - y: A numpy array of shape (num_test,) containing predicted labels for the\n          test data, where y[i] is the predicted label for the test point X[i].\n        \"\"\"\n        num_test = dists.shape[0]\n        y_pred = np.zeros(num_test)\n        for i in range(num_test):\n            # A list of length k storing the labels of the k nearest neighbors to\n            # the ith test point.\n            closest_y = []\n            #########################################################################\n            # TODO:                                                                 #\n            # Use the distance matrix to find the k nearest neighbors of the ith    #\n            # testing point, and use self.y_train to find the labels of these       #\n            # neighbors. Store these labels in closest_y.                           #\n            # Hint: Look up the function numpy.argsort.                             #\n            #########################################################################\n            # *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n\n            closet_indexes = np.argsort(dists[i])\n            closet_indexes = closet_indexes[:k]\n\n            closest_y = self.y_train.take(closet_indexes)\n\n            # *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n            #########################################################################\n            # TODO:                                                                 #\n            # Now that you have found the labels of the k nearest neighbors, you    #\n            # need to find the most common label in the list closest_y of labels.   #\n            # Store this label in y_pred[i]. Break ties by choosing the smaller     #\n            # label.                                                                #\n            #########################################################################\n            # *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n\n            y_pred[i] = np.bincount(closest_y).argmax()\n\n            # *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n\n        return y_pred\n"
  },
  {
    "path": "cs231n/assignment1/cs231n/classifiers/linear_classifier.py",
    "content": "from __future__ import print_function\n\nfrom builtins import range\nfrom builtins import object\nimport numpy as np\nfrom cs231n.classifiers.linear_svm import *\nfrom cs231n.classifiers.softmax import *\nfrom past.builtins import xrange\n\n\nclass LinearClassifier(object):\n\n    def __init__(self):\n        self.W = None\n\n    def train(self, X, y, learning_rate=1e-3, reg=1e-5, num_iters=100,\n              batch_size=200, verbose=False):\n        \"\"\"\n        Train this linear classifier using stochastic gradient descent.\n\n        Inputs:\n        - X: A numpy array of shape (N, D) containing training data; there are N\n          training samples each of dimension D.\n        - y: A numpy array of shape (N,) containing training labels; y[i] = c\n          means that X[i] has label 0 <= c < C for C classes.\n        - learning_rate: (float) learning rate for optimization.\n        - reg: (float) regularization strength.\n        - num_iters: (integer) number of steps to take when optimizing\n        - batch_size: (integer) number of training examples to use at each step.\n        - verbose: (boolean) If true, print progress during optimization.\n\n        Outputs:\n        A list containing the value of the loss function at each training iteration.\n        \"\"\"\n        num_train, dim = X.shape\n        num_classes = np.max(y) + 1 # assume y takes values 0...K-1 where K is number of classes\n        if self.W is None:\n            # lazily initialize W\n            self.W = 0.001 * np.random.randn(dim, num_classes)\n\n        # Run stochastic gradient descent to optimize W\n        loss_history = []\n        for it in range(num_iters):\n            X_batch = None\n            y_batch = None\n\n            #########################################################################\n            # TODO:                                                                 #\n            # Sample batch_size elements from the training data and their           #\n            # corresponding labels to use in this round of gradient descent.        #\n            # Store the data in X_batch and their corresponding labels in           #\n            # y_batch; after sampling X_batch should have shape (batch_size, dim)   #\n            # and y_batch should have shape (batch_size,)                           #\n            #                                                                       #\n            # Hint: Use np.random.choice to generate indices. Sampling with         #\n            # replacement is faster than sampling without replacement.              #\n            #########################################################################\n            # *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n\n            batch_indexes = np.random.choice(num_train, batch_size)\n            X_batch = X[batch_indexes]\n            y_batch = y[batch_indexes]\n\n            # *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n\n            # evaluate loss and gradient\n            loss, grad = self.loss(X_batch, y_batch, reg)\n            loss_history.append(loss)\n\n            # perform parameter update\n            #########################################################################\n            # TODO:                                                                 #\n            # Update the weights using the gradient and the learning rate.          #\n            #########################################################################\n            # *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n\n            self.W += - learning_rate * grad\n\n            # *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n\n            if verbose and it % 100 == 0:\n                print('iteration %d / %d: loss %f' % (it, num_iters, loss))\n\n        return loss_history\n\n    def predict(self, X):\n        \"\"\"\n        Use the trained weights of this linear classifier to predict labels for\n        data points.\n\n        Inputs:\n        - X: A numpy array of shape (N, D) containing training data; there are N\n          training samples each of dimension D.\n\n        Returns:\n        - y_pred: Predicted labels for the data in X. y_pred is a 1-dimensional\n          array of length N, and each element is an integer giving the predicted\n          class.\n        \"\"\"\n        y_pred = np.zeros(X.shape[0])\n        ###########################################################################\n        # TODO:                                                                   #\n        # Implement this method. Store the predicted labels in y_pred.            #\n        ###########################################################################\n        # *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n\n        predict_matrix = X.dot(self.W)\n        y_pred = predict_matrix.argmax(axis=1)\n\n        # *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n        return y_pred\n\n    def loss(self, X_batch, y_batch, reg):\n        \"\"\"\n        Compute the loss function and its derivative.\n        Subclasses will override this.\n\n        Inputs:\n        - X_batch: A numpy array of shape (N, D) containing a minibatch of N\n          data points; each point has dimension D.\n        - y_batch: A numpy array of shape (N,) containing labels for the minibatch.\n        - reg: (float) regularization strength.\n\n        Returns: A tuple containing:\n        - loss as a single float\n        - gradient with respect to self.W; an array of the same shape as W\n        \"\"\"\n        pass\n\n\nclass LinearSVM(LinearClassifier):\n    \"\"\" A subclass that uses the Multiclass SVM loss function \"\"\"\n\n    def loss(self, X_batch, y_batch, reg):\n        return svm_loss_vectorized(self.W, X_batch, y_batch, reg)\n\n\nclass Softmax(LinearClassifier):\n    \"\"\" A subclass that uses the Softmax + Cross-entropy loss function \"\"\"\n\n    def loss(self, X_batch, y_batch, reg):\n        return softmax_loss_vectorized(self.W, X_batch, y_batch, reg)\n"
  },
  {
    "path": "cs231n/assignment1/cs231n/classifiers/linear_svm.py",
    "content": "from builtins import range\nimport numpy as np\nfrom random import shuffle\nfrom past.builtins import xrange\n\ndef svm_loss_naive(W, X, y, reg):\n    \"\"\"\n    Structured SVM loss function, naive implementation (with loops).\n\n    Inputs have dimension D, there are C classes, and we operate on minibatches\n    of N examples.\n\n    Inputs:\n    - W: A numpy array of shape (D, C) containing weights.\n    - X: A numpy array of shape (N, D) containing a minibatch of data.\n    - y: A numpy array of shape (N,) containing training labels; y[i] = c means\n      that X[i] has label c, where 0 <= c < C.\n    - reg: (float) regularization strength\n\n    Returns a tuple of:\n    - loss as single float\n    - gradient with respect to weights W; an array of same shape as W\n    \"\"\"\n    dW = np.zeros(W.shape) # initialize the gradient as zero\n\n    # compute the loss and the gradient\n    num_classes = W.shape[1]\n    num_train = X.shape[0]\n    loss = 0.0\n    for i in range(num_train):\n        scores = X[i].dot(W)\n        correct_class_score = scores[y[i]]\n        no_meet_margin = 0\n        for j in range(num_classes):\n            if j == y[i]:\n                continue\n            margin = scores[j] - correct_class_score + 1 # note delta = 1\n            if margin > 0:\n                loss += margin\n                no_meet_margin += 1\n                dW[:, j] += X[i]\n        dW[:, y[i]] -=  no_meet_margin * X[i]\n\n    # Right now the loss is a sum over all training examples, but we want it\n    # to be an average instead so we divide by num_train.\n    loss /= num_train\n\n    # Add regularization to the loss.\n    loss += reg * np.sum(W * W)\n\n    #############################################################################\n    # TODO:                                                                     #\n    # Compute the gradient of the loss function and store it dW.                #\n    # Rather than first computing the loss and then computing the derivative,   #\n    # it may be simpler to compute the derivative at the same time that the     #\n    # loss is being computed. As a result you may need to modify some of the    #\n    # code above to compute the gradient.                                       #\n    #############################################################################\n    # *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n\n    dW /= num_train\n\n    # Add the regularization to 'dW' (derivate of L2 norm)\n    dW += 2 * reg * W\n\n    # *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n    \n    return loss, dW\n\n\n\ndef svm_loss_vectorized(W, X, y, reg):\n    \"\"\"\n    Structured SVM loss function, vectorized implementation.\n\n    Inputs and outputs are the same as svm_loss_naive.\n    \"\"\"\n    loss = 0.0\n    dW = np.zeros(W.shape) # initialize the gradient as zero\n\n    #############################################################################\n    # TODO:                                                                     #\n    # Implement a vectorized version of the structured SVM loss, storing the    #\n    # result in loss.                                                           #\n    #############################################################################\n    # *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n\n    scores = X.dot(W)\n\n    correct_class_score = scores[np.arange(len(scores)), y]\n\n    scores_check_margin = scores - correct_class_score.reshape(-1, 1) + 1\n    scores_check_margin[np.arange(len(scores_check_margin)), y] = 0\n\n    num_meet_margin = - np.sum(scores_check_margin > 0, axis=1)\n\n    scores_check_margin[scores_check_margin < 0] = 0\n\n    loss = scores_check_margin.sum()\n    loss /= X.shape[0]\n    loss += reg * np.sum(W * W)\n\n    # *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n\n    #############################################################################\n    # TODO:                                                                     #\n    # Implement a vectorized version of the gradient for the structured SVM     #\n    # loss, storing the result in dW.                                           #\n    #                                                                           #\n    # Hint: Instead of computing the gradient from scratch, it may be easier    #\n    # to reuse some of the intermediate values that you used to compute the     #\n    # loss.                                                                     #\n    #############################################################################\n    # *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n\n    scores_check_margin[scores_check_margin > 0] = 1\n  \n    scores_check_margin[np.arange(len(scores_check_margin)), y] = num_meet_margin\n\n    dW = X.T.dot(scores_check_margin)\n\n    dW /= X.shape[0]\n    dW += reg * 2 * W # Derivate of L2 norm\n\n    # *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n\n    return loss, dW\n"
  },
  {
    "path": "cs231n/assignment1/cs231n/classifiers/neural_net.py",
    "content": "from __future__ import print_function\n\nfrom builtins import range\nfrom builtins import object\nimport numpy as np\nimport matplotlib.pyplot as plt\nfrom past.builtins import xrange\n\nclass TwoLayerNet(object):\n    \"\"\"\n    A two-layer fully-connected neural network. The net has an input dimension of\n    N, a hidden layer dimension of H, and performs classification over C classes.\n    We train the network with a softmax loss function and L2 regularization on the\n    weight matrices. The network uses a ReLU nonlinearity after the first fully\n    connected layer.\n\n    In other words, the network has the following architecture:\n\n    input - fully connected layer - ReLU - fully connected layer - softmax\n\n    The outputs of the second fully-connected layer are the scores for each class.\n    \"\"\"\n\n    def __init__(self, input_size, hidden_size, output_size, std=1e-4):\n        \"\"\"\n        Initialize the model. Weights are initialized to small random values and\n        biases are initialized to zero. Weights and biases are stored in the\n        variable self.params, which is a dictionary with the following keys:\n\n        W1: First layer weights; has shape (D, H)\n        b1: First layer biases; has shape (H,)\n        W2: Second layer weights; has shape (H, C)\n        b2: Second layer biases; has shape (C,)\n\n        Inputs:\n        - input_size: The dimension D of the input data.\n        - hidden_size: The number of neurons H in the hidden layer.\n        - output_size: The number of classes C.\n        \"\"\"\n        self.params = {}\n        self.params['W1'] = std * np.random.randn(input_size, hidden_size)\n        self.params['b1'] = np.zeros(hidden_size)\n        self.params['W2'] = std * np.random.randn(hidden_size, output_size)\n        self.params['b2'] = np.zeros(output_size)\n\n    def loss(self, X, y=None, reg=0.0):\n        \"\"\"\n        Compute the loss and gradients for a two layer fully connected neural\n        network.\n\n        Inputs:\n        - X: Input data of shape (N, D). Each X[i] is a training sample.\n        - y: Vector of training labels. y[i] is the label for X[i], and each y[i] is\n          an integer in the range 0 <= y[i] < C. This parameter is optional; if it\n          is not passed then we only return scores, and if it is passed then we\n          instead return the loss and gradients.\n        - reg: Regularization strength.\n\n        Returns:\n        If y is None, return a matrix scores of shape (N, C) where scores[i, c] is\n        the score for class c on input X[i].\n\n        If y is not None, instead return a tuple of:\n        - loss: Loss (data loss and regularization loss) for this batch of training\n          samples.\n        - grads: Dictionary mapping parameter names to gradients of those parameters\n          with respect to the loss function; has the same keys as self.params.\n        \"\"\"\n        # Unpack variables from the params dictionary\n        W1, b1 = self.params['W1'], self.params['b1']\n        W2, b2 = self.params['W2'], self.params['b2']\n        N, D = X.shape\n\n        # Compute the forward pass\n        scores = None\n        #############################################################################\n        # TODO: Perform the forward pass, computing the class scores for the input. #\n        # Store the result in the scores variable, which should be an array of      #\n        # shape (N, C).                                                             #\n        #############################################################################\n        # *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n\n        hid_layer = X.dot(W1) + b1\n        hid_layer_act = np.maximum(0, hid_layer) # Apply ReLU\n\n        out_layer = hid_layer_act.dot(W2) + b2\n\n        scores = out_layer\n\n        # *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n\n        # If the targets are not given then jump out, we're done\n        if y is None:\n            return scores\n\n        # Compute the loss\n        loss = None\n        #############################################################################\n        # TODO: Finish the forward pass, and compute the loss. This should include  #\n        # both the data loss and L2 regularization for W1 and W2. Store the result  #\n        # in the variable loss, which should be a scalar. Use the Softmax           #\n        # classifier loss.                                                          #\n        #############################################################################\n        # *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n\n        # scores = scores - np.max(scores) # Ensure numerical stability\n        out_layer_act = np.exp(scores)\n        sum_out_layer_act = out_layer_act.sum(axis=1, keepdims=True)\n        out_layer_act =  out_layer_act / sum_out_layer_act\n\n        y_scores = out_layer_act[range(N), y]\n        loss = - np.log(y_scores)\n        loss = loss.sum() / N\n        loss += reg * (np.sum(W1 ** 2) + np.sum(W2 ** 2))\n\n        # *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n\n        # Backward pass: compute gradients\n        grads = {}\n        #############################################################################\n        # TODO: Compute the backward pass, computing the derivatives of the weights #\n        # and biases. Store the results in the grads dictionary. For example,       #\n        # grads['W1'] should store the gradient on W1, and be a matrix of same size #\n        #############################################################################\n        # *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n\n        d_scores = out_layer_act\n        d_scores[range(N), y] -= 1\n        d_scores /= N\n\n        grads['W2'] = hid_layer_act.T.dot(d_scores) + 2 * reg * W2\n        grads['b2'] = d_scores.sum(axis=0)\n\n        d_hid_layer_act = d_scores.dot(W2.T)\n\n        d_hid_layer_act[hid_layer_act <= 0] = 0\n\n        grads['W1'] = X.T.dot(d_hid_layer_act) + 2 * reg * W1\n        grads['b1'] = d_hid_layer_act.sum(axis=0)\n\n        # *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n\n        return loss, grads\n\n    def train(self, X, y, X_val, y_val,\n              learning_rate=1e-3, learning_rate_decay=0.95,\n              reg=5e-6, num_iters=100,\n              batch_size=200, verbose=False):\n        \"\"\"\n        Train this neural network using stochastic gradient descent.\n\n        Inputs:\n        - X: A numpy array of shape (N, D) giving training data.\n        - y: A numpy array f shape (N,) giving training labels; y[i] = c means that\n          X[i] has label c, where 0 <= c < C.\n        - X_val: A numpy array of shape (N_val, D) giving validation data.\n        - y_val: A numpy array of shape (N_val,) giving validation labels.\n        - learning_rate: Scalar giving learning rate for optimization.\n        - learning_rate_decay: Scalar giving factor used to decay the learning rate\n          after each epoch.\n        - reg: Scalar giving regularization strength.\n        - num_iters: Number of steps to take when optimizing.\n        - batch_size: Number of training examples to use per step.\n        - verbose: boolean; if true print progress during optimization.\n        \"\"\"\n        num_train = X.shape[0]\n        iterations_per_epoch = max(num_train / batch_size, 1)\n\n        # Use SGD to optimize the parameters in self.model\n        loss_history = []\n        train_acc_history = []\n        val_acc_history = []\n\n        for it in range(num_iters):\n            X_batch = None\n            y_batch = None\n\n            #########################################################################\n            # TODO: Create a random minibatch of training data and labels, storing  #\n            # them in X_batch and y_batch respectively.                             #\n            #########################################################################\n            # *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n\n            batch_indexes = np.random.choice(num_train, batch_size)\n            X_batch = X[batch_indexes]\n            y_batch = y[batch_indexes]\n\n            # *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n\n            # Compute loss and gradients using the current minibatch\n            loss, grads = self.loss(X_batch, y=y_batch, reg=reg)\n            loss_history.append(loss)\n\n            #########################################################################\n            # TODO: Use the gradients in the grads dictionary to update the         #\n            # parameters of the network (stored in the dictionary self.params)      #\n            # using stochastic gradient descent. You'll need to use the gradients   #\n            # stored in the grads dictionary defined above.                         #\n            #########################################################################\n            # *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n\n            self.params['W1'] -= learning_rate * grads['W1']\n            self.params['b1'] -= learning_rate * grads['b1']\n            self.params['W2'] -= learning_rate * grads['W2']\n            self.params['b2'] -= learning_rate * grads['b2']\n\n            # *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n\n            if verbose and it % 100 == 0:\n                print('iteration %d / %d: loss %f' % (it, num_iters, loss))\n\n            # Every epoch, check train and val accuracy and decay learning rate.\n            if it % iterations_per_epoch == 0:\n                # Check accuracy\n                train_acc = (self.predict(X_batch) == y_batch).mean()\n                val_acc = (self.predict(X_val) == y_val).mean()\n                train_acc_history.append(train_acc)\n                val_acc_history.append(val_acc)\n\n                # Decay learning rate\n                learning_rate *= learning_rate_decay\n\n        return {\n          'loss_history': loss_history,\n          'train_acc_history': train_acc_history,\n          'val_acc_history': val_acc_history,\n        }\n\n    def predict(self, X):\n        \"\"\"\n        Use the trained weights of this two-layer network to predict labels for\n        data points. For each data point we predict scores for each of the C\n        classes, and assign each data point to the class with the highest score.\n\n        Inputs:\n        - X: A numpy array of shape (N, D) giving N D-dimensional data points to\n          classify.\n\n        Returns:\n        - y_pred: A numpy array of shape (N,) giving predicted labels for each of\n          the elements of X. For all i, y_pred[i] = c means that X[i] is predicted\n          to have class c, where 0 <= c < C.\n        \"\"\"\n        y_pred = None\n\n        ###########################################################################\n        # TODO: Implement this function; it should be VERY simple!                #\n        ###########################################################################\n        # *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n\n        W1 = self.params['W1']\n        b1 = self.params['b1']\n        W2 = self.params['W2']\n        b2 = self.params['b2']\n\n        hid_layer_act = np.maximum(0, X.dot(W1) + b1)\n        out_layer = hid_layer_act.dot(W2) + b2\n\n        y_pred = out_layer.argmax(axis=1)\n\n        # *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n\n        return y_pred\n"
  },
  {
    "path": "cs231n/assignment1/cs231n/classifiers/softmax.py",
    "content": "from builtins import range\nimport numpy as np\nfrom random import shuffle\nfrom past.builtins import xrange\n\ndef softmax_loss_naive(W, X, y, reg):\n    \"\"\"\n    Softmax loss function, naive implementation (with loops)\n\n    Inputs have dimension D, there are C classes, and we operate on minibatches\n    of N examples.\n\n    Inputs:\n    - W: A numpy array of shape (D, C) containing weights.\n    - X: A numpy array of shape (N, D) containing a minibatch of data.\n    - y: A numpy array of shape (N,) containing training labels; y[i] = c means\n      that X[i] has label c, where 0 <= c < C.\n    - reg: (float) regularization strength\n\n    Returns a tuple of:\n    - loss as single float\n    - gradient with respect to weights W; an array of same shape as W\n    \"\"\"\n    # Initialize the loss and gradient to zero.\n    loss = 0.0\n    dW = np.zeros_like(W)\n\n    #############################################################################\n    # TODO: Compute the softmax loss and its gradient using explicit loops.     #\n    # Store the loss in loss and the gradient in dW. If you are not careful     #\n    # here, it is easy to run into numeric instability. Don't forget the        #\n    # regularization!                                                           #\n    #############################################################################\n    # *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n\n    # Gradient for the Softmax function.\n    # Check: https://stackoverflow.com/a/53972798\n\n    num_classes = W.shape[1]\n    num_train = X.shape[0]\n    for i in range(num_train):\n        scores = X[i].dot(W)\n\n        correct_class_score = scores[y[i]]\n        numerator = np.exp(correct_class_score)\n\n        denominator = 0.0\n        for j in range(num_classes):\n            denominator += np.exp(scores[j])\n\n        loss += - np.log(numerator / denominator)\n\n        dW[:, y[i]] += (numerator / denominator - 1) * X[i]\n        for j in range(num_classes):\n            if j != y[i]:\n              dW[:, j] += (np.exp(scores[j]) / denominator) * X[i]\n\n    loss /= num_train\n    loss += reg * np.sum(W * W)\n\n    dW /= num_train\n    dW += reg * 2 * W # Derivate of L2 norm\n\n    # *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n\n    return loss, dW\n\n\ndef softmax_loss_vectorized(W, X, y, reg):\n    \"\"\"\n    Softmax loss function, vectorized version.\n\n    Inputs and outputs are the same as softmax_loss_naive.\n    \"\"\"\n    # Initialize the loss and gradient to zero.\n    loss = 0.0\n    dW = np.zeros_like(W)\n\n    #############################################################################\n    # TODO: Compute the softmax loss and its gradient using no explicit loops.  #\n    # Store the loss in loss and the gradient in dW. If you are not careful     #\n    # here, it is easy to run into numeric instability. Don't forget the        #\n    # regularization!                                                           #\n    #############################################################################\n    # *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n\n    scores = np.exp(X.dot(W))\n\n    sum_scores = scores.sum(axis=1)\n\n    y_scores = scores[np.arange(len(scores)), y]\n\n    loss = - np.log(y_scores / sum_scores)\n    loss = np.mean(loss)\n    loss += reg * np.sum(W * W)\n\n    scores /= sum_scores.reshape(-1, 1)\n    scores[np.arange(len(scores)), y] -= 1\n\n    dW = X.T.dot(scores)\n    dW /= X.shape[0]\n    dW += reg * 2 * W # Derivate of L2 norm\n\n    # *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n\n    return loss, dW\n"
  },
  {
    "path": "cs231n/assignment1/cs231n/data_utils.py",
    "content": "from __future__ import print_function\n\nfrom builtins import range\nfrom six.moves import cPickle as pickle\nimport numpy as np\nimport os\nfrom imageio import imread\nimport platform\n\ndef load_pickle(f):\n    version = platform.python_version_tuple()\n    if version[0] == '2':\n        return  pickle.load(f)\n    elif version[0] == '3':\n        return  pickle.load(f, encoding='latin1')\n    raise ValueError(\"invalid python version: {}\".format(version))\n\ndef load_CIFAR_batch(filename):\n    \"\"\" load single batch of cifar \"\"\"\n    with open(filename, 'rb') as f:\n        datadict = load_pickle(f)\n        X = datadict['data']\n        Y = datadict['labels']\n        X = X.reshape(10000, 3, 32, 32).transpose(0,2,3,1).astype(\"float\")\n        Y = np.array(Y)\n        return X, Y\n\ndef load_CIFAR10(ROOT):\n    \"\"\" load all of cifar \"\"\"\n    xs = []\n    ys = []\n    for b in range(1,6):\n        f = os.path.join(ROOT, 'data_batch_%d' % (b, ))\n        X, Y = load_CIFAR_batch(f)\n        xs.append(X)\n        ys.append(Y)\n    Xtr = np.concatenate(xs)\n    Ytr = np.concatenate(ys)\n    del X, Y\n    Xte, Yte = load_CIFAR_batch(os.path.join(ROOT, 'test_batch'))\n    return Xtr, Ytr, Xte, Yte\n\n\ndef get_CIFAR10_data(num_training=49000, num_validation=1000, num_test=1000,\n                     subtract_mean=True):\n    \"\"\"\n    Load the CIFAR-10 dataset from disk and perform preprocessing to prepare\n    it for classifiers. These are the same steps as we used for the SVM, but\n    condensed to a single function.\n    \"\"\"\n    # Load the raw CIFAR-10 data\n    cifar10_dir = 'cs231n/datasets/cifar-10-batches-py'\n    X_train, y_train, X_test, y_test = load_CIFAR10(cifar10_dir)\n\n    # Subsample the data\n    mask = list(range(num_training, num_training + num_validation))\n    X_val = X_train[mask]\n    y_val = y_train[mask]\n    mask = list(range(num_training))\n    X_train = X_train[mask]\n    y_train = y_train[mask]\n    mask = list(range(num_test))\n    X_test = X_test[mask]\n    y_test = y_test[mask]\n\n    # Normalize the data: subtract the mean image\n    if subtract_mean:\n        mean_image = np.mean(X_train, axis=0)\n        X_train -= mean_image\n        X_val -= mean_image\n        X_test -= mean_image\n\n    # Transpose so that channels come first\n    X_train = X_train.transpose(0, 3, 1, 2).copy()\n    X_val = X_val.transpose(0, 3, 1, 2).copy()\n    X_test = X_test.transpose(0, 3, 1, 2).copy()\n\n    # Package data into a dictionary\n    return {\n      'X_train': X_train, 'y_train': y_train,\n      'X_val': X_val, 'y_val': y_val,\n      'X_test': X_test, 'y_test': y_test,\n    }\n\n\ndef load_tiny_imagenet(path, dtype=np.float32, subtract_mean=True):\n    \"\"\"\n    Load TinyImageNet. Each of TinyImageNet-100-A, TinyImageNet-100-B, and\n    TinyImageNet-200 have the same directory structure, so this can be used\n    to load any of them.\n\n    Inputs:\n    - path: String giving path to the directory to load.\n    - dtype: numpy datatype used to load the data.\n    - subtract_mean: Whether to subtract the mean training image.\n\n    Returns: A dictionary with the following entries:\n    - class_names: A list where class_names[i] is a list of strings giving the\n      WordNet names for class i in the loaded dataset.\n    - X_train: (N_tr, 3, 64, 64) array of training images\n    - y_train: (N_tr,) array of training labels\n    - X_val: (N_val, 3, 64, 64) array of validation images\n    - y_val: (N_val,) array of validation labels\n    - X_test: (N_test, 3, 64, 64) array of testing images.\n    - y_test: (N_test,) array of test labels; if test labels are not available\n      (such as in student code) then y_test will be None.\n    - mean_image: (3, 64, 64) array giving mean training image\n    \"\"\"\n    # First load wnids\n    with open(os.path.join(path, 'wnids.txt'), 'r') as f:\n        wnids = [x.strip() for x in f]\n\n    # Map wnids to integer labels\n    wnid_to_label = {wnid: i for i, wnid in enumerate(wnids)}\n\n    # Use words.txt to get names for each class\n    with open(os.path.join(path, 'words.txt'), 'r') as f:\n        wnid_to_words = dict(line.split('\\t') for line in f)\n        for wnid, words in wnid_to_words.items():\n            wnid_to_words[wnid] = [w.strip() for w in words.split(',')]\n    class_names = [wnid_to_words[wnid] for wnid in wnids]\n\n    # Next load training data.\n    X_train = []\n    y_train = []\n    for i, wnid in enumerate(wnids):\n        if (i + 1) % 20 == 0:\n            print('loading training data for synset %d / %d'\n                  % (i + 1, len(wnids)))\n        # To figure out the filenames we need to open the boxes file\n        boxes_file = os.path.join(path, 'train', wnid, '%s_boxes.txt' % wnid)\n        with open(boxes_file, 'r') as f:\n            filenames = [x.split('\\t')[0] for x in f]\n        num_images = len(filenames)\n\n        X_train_block = np.zeros((num_images, 3, 64, 64), dtype=dtype)\n        y_train_block = wnid_to_label[wnid] * \\\n                        np.ones(num_images, dtype=np.int64)\n        for j, img_file in enumerate(filenames):\n            img_file = os.path.join(path, 'train', wnid, 'images', img_file)\n            img = imread(img_file)\n            if img.ndim == 2:\n        ## grayscale file\n                img.shape = (64, 64, 1)\n            X_train_block[j] = img.transpose(2, 0, 1)\n        X_train.append(X_train_block)\n        y_train.append(y_train_block)\n\n    # We need to concatenate all training data\n    X_train = np.concatenate(X_train, axis=0)\n    y_train = np.concatenate(y_train, axis=0)\n\n    # Next load validation data\n    with open(os.path.join(path, 'val', 'val_annotations.txt'), 'r') as f:\n        img_files = []\n        val_wnids = []\n        for line in f:\n            img_file, wnid = line.split('\\t')[:2]\n            img_files.append(img_file)\n            val_wnids.append(wnid)\n        num_val = len(img_files)\n        y_val = np.array([wnid_to_label[wnid] for wnid in val_wnids])\n        X_val = np.zeros((num_val, 3, 64, 64), dtype=dtype)\n        for i, img_file in enumerate(img_files):\n            img_file = os.path.join(path, 'val', 'images', img_file)\n            img = imread(img_file)\n            if img.ndim == 2:\n                img.shape = (64, 64, 1)\n            X_val[i] = img.transpose(2, 0, 1)\n\n    # Next load test images\n    # Students won't have test labels, so we need to iterate over files in the\n    # images directory.\n    img_files = os.listdir(os.path.join(path, 'test', 'images'))\n    X_test = np.zeros((len(img_files), 3, 64, 64), dtype=dtype)\n    for i, img_file in enumerate(img_files):\n        img_file = os.path.join(path, 'test', 'images', img_file)\n        img = imread(img_file)\n        if img.ndim == 2:\n            img.shape = (64, 64, 1)\n        X_test[i] = img.transpose(2, 0, 1)\n\n    y_test = None\n    y_test_file = os.path.join(path, 'test', 'test_annotations.txt')\n    if os.path.isfile(y_test_file):\n        with open(y_test_file, 'r') as f:\n            img_file_to_wnid = {}\n            for line in f:\n                line = line.split('\\t')\n                img_file_to_wnid[line[0]] = line[1]\n        y_test = [wnid_to_label[img_file_to_wnid[img_file]]\n                  for img_file in img_files]\n        y_test = np.array(y_test)\n\n    mean_image = X_train.mean(axis=0)\n    if subtract_mean:\n        X_train -= mean_image[None]\n        X_val -= mean_image[None]\n        X_test -= mean_image[None]\n\n    return {\n      'class_names': class_names,\n      'X_train': X_train,\n      'y_train': y_train,\n      'X_val': X_val,\n      'y_val': y_val,\n      'X_test': X_test,\n      'y_test': y_test,\n      'class_names': class_names,\n      'mean_image': mean_image,\n    }\n\n\ndef load_models(models_dir):\n    \"\"\"\n    Load saved models from disk. This will attempt to unpickle all files in a\n    directory; any files that give errors on unpickling (such as README.txt)\n    will be skipped.\n\n    Inputs:\n    - models_dir: String giving the path to a directory containing model files.\n      Each model file is a pickled dictionary with a 'model' field.\n\n    Returns:\n    A dictionary mapping model file names to models.\n    \"\"\"\n    models = {}\n    for model_file in os.listdir(models_dir):\n        with open(os.path.join(models_dir, model_file), 'rb') as f:\n            try:\n                models[model_file] = load_pickle(f)['model']\n            except pickle.UnpicklingError:\n                continue\n    return models\n\n\ndef load_imagenet_val(num=None):\n    \"\"\"Load a handful of validation images from ImageNet.\n\n    Inputs:\n    - num: Number of images to load (max of 25)\n\n    Returns:\n    - X: numpy array with shape [num, 224, 224, 3]\n    - y: numpy array of integer image labels, shape [num]\n    - class_names: dict mapping integer label to class name\n    \"\"\"\n    imagenet_fn = 'cs231n/datasets/imagenet_val_25.npz'\n    if not os.path.isfile(imagenet_fn):\n      print('file %s not found' % imagenet_fn)\n      print('Run the following:')\n      print('cd cs231n/datasets')\n      print('bash get_imagenet_val.sh')\n      assert False, 'Need to download imagenet_val_25.npz'\n    f = np.load(imagenet_fn)\n    X = f['X']\n    y = f['y']\n    class_names = f['label_map'].item()\n    if num is not None:\n        X = X[:num]\n        y = y[:num]\n    return X, y, class_names\n"
  },
  {
    "path": "cs231n/assignment1/cs231n/datasets/get_datasets.sh",
    "content": "# Get CIFAR10\nwget http://www.cs.toronto.edu/~kriz/cifar-10-python.tar.gz -O cifar-10-python.tar.gz\ntar -xzvf cifar-10-python.tar.gz\nrm cifar-10-python.tar.gz \n"
  },
  {
    "path": "cs231n/assignment1/cs231n/features.py",
    "content": "from __future__ import print_function\nfrom builtins import zip\nfrom builtins import range\nfrom past.builtins import xrange\n\nimport matplotlib\nimport numpy as np\nfrom scipy.ndimage import uniform_filter\n\n\ndef extract_features(imgs, feature_fns, verbose=False):\n    \"\"\"\n    Given pixel data for images and several feature functions that can operate on\n    single images, apply all feature functions to all images, concatenating the\n    feature vectors for each image and storing the features for all images in\n    a single matrix.\n\n    Inputs:\n    - imgs: N x H X W X C array of pixel data for N images.\n    - feature_fns: List of k feature functions. The ith feature function should\n      take as input an H x W x D array and return a (one-dimensional) array of\n      length F_i.\n    - verbose: Boolean; if true, print progress.\n\n    Returns:\n    An array of shape (N, F_1 + ... + F_k) where each column is the concatenation\n    of all features for a single image.\n    \"\"\"\n    num_images = imgs.shape[0]\n    if num_images == 0:\n        return np.array([])\n\n    # Use the first image to determine feature dimensions\n    feature_dims = []\n    first_image_features = []\n    for feature_fn in feature_fns:\n        feats = feature_fn(imgs[0].squeeze())\n        assert len(feats.shape) == 1, 'Feature functions must be one-dimensional'\n        feature_dims.append(feats.size)\n        first_image_features.append(feats)\n\n    # Now that we know the dimensions of the features, we can allocate a single\n    # big array to store all features as columns.\n    total_feature_dim = sum(feature_dims)\n    imgs_features = np.zeros((num_images, total_feature_dim))\n    imgs_features[0] = np.hstack(first_image_features).T\n\n    # Extract features for the rest of the images.\n    for i in range(1, num_images):\n        idx = 0\n        for feature_fn, feature_dim in zip(feature_fns, feature_dims):\n            next_idx = idx + feature_dim\n            imgs_features[i, idx:next_idx] = feature_fn(imgs[i].squeeze())\n            idx = next_idx\n        if verbose and i % 1000 == 999:\n            print('Done extracting features for %d / %d images' % (i+1, num_images))\n\n    return imgs_features\n\n\ndef rgb2gray(rgb):\n    \"\"\"Convert RGB image to grayscale\n\n      Parameters:\n        rgb : RGB image\n\n      Returns:\n        gray : grayscale image\n\n    \"\"\"\n    return np.dot(rgb[...,:3], [0.299, 0.587, 0.144])\n\n\ndef hog_feature(im):\n    \"\"\"Compute Histogram of Gradient (HOG) feature for an image\n\n         Modified from skimage.feature.hog\n         http://pydoc.net/Python/scikits-image/0.4.2/skimage.feature.hog\n\n       Reference:\n         Histograms of Oriented Gradients for Human Detection\n         Navneet Dalal and Bill Triggs, CVPR 2005\n\n      Parameters:\n        im : an input grayscale or rgb image\n\n      Returns:\n        feat: Histogram of Gradient (HOG) feature\n\n    \"\"\"\n\n    # convert rgb to grayscale if needed\n    if im.ndim == 3:\n        image = rgb2gray(im)\n    else:\n        image = np.at_least_2d(im)\n\n    sx, sy = image.shape # image size\n    orientations = 9 # number of gradient bins\n    cx, cy = (8, 8) # pixels per cell\n\n    gx = np.zeros(image.shape)\n    gy = np.zeros(image.shape)\n    gx[:, :-1] = np.diff(image, n=1, axis=1) # compute gradient on x-direction\n    gy[:-1, :] = np.diff(image, n=1, axis=0) # compute gradient on y-direction\n    grad_mag = np.sqrt(gx ** 2 + gy ** 2) # gradient magnitude\n    grad_ori = np.arctan2(gy, (gx + 1e-15)) * (180 / np.pi) + 90 # gradient orientation\n\n    n_cellsx = int(np.floor(sx / cx))  # number of cells in x\n    n_cellsy = int(np.floor(sy / cy))  # number of cells in y\n    # compute orientations integral images\n    orientation_histogram = np.zeros((n_cellsx, n_cellsy, orientations))\n    for i in range(orientations):\n        # create new integral image for this orientation\n        # isolate orientations in this range\n        temp_ori = np.where(grad_ori < 180 / orientations * (i + 1),\n                            grad_ori, 0)\n        temp_ori = np.where(grad_ori >= 180 / orientations * i,\n                            temp_ori, 0)\n        # select magnitudes for those orientations\n        cond2 = temp_ori > 0\n        temp_mag = np.where(cond2, grad_mag, 0)\n        orientation_histogram[:,:,i] = uniform_filter(temp_mag, size=(cx, cy))[round(cx/2)::cx, round(cy/2)::cy].T\n\n    return orientation_histogram.ravel()\n\n\ndef color_histogram_hsv(im, nbin=10, xmin=0, xmax=255, normalized=True):\n    \"\"\"\n    Compute color histogram for an image using hue.\n\n    Inputs:\n    - im: H x W x C array of pixel data for an RGB image.\n    - nbin: Number of histogram bins. (default: 10)\n    - xmin: Minimum pixel value (default: 0)\n    - xmax: Maximum pixel value (default: 255)\n    - normalized: Whether to normalize the histogram (default: True)\n\n    Returns:\n      1D vector of length nbin giving the color histogram over the hue of the\n      input image.\n    \"\"\"\n    ndim = im.ndim\n    bins = np.linspace(xmin, xmax, nbin+1)\n    hsv = matplotlib.colors.rgb_to_hsv(im/xmax) * xmax\n    imhist, bin_edges = np.histogram(hsv[:,:,0], bins=bins, density=normalized)\n    imhist = imhist * np.diff(bin_edges)\n\n    # return histogram\n    return imhist\n\n\n# *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n\npass\n\n# *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n"
  },
  {
    "path": "cs231n/assignment1/cs231n/gradient_check.py",
    "content": "from __future__ import print_function\nfrom builtins import range\nfrom past.builtins import xrange\n\nimport numpy as np\nfrom random import randrange\n\ndef eval_numerical_gradient(f, x, verbose=True, h=0.00001):\n    \"\"\"\n    a naive implementation of numerical gradient of f at x\n    - f should be a function that takes a single argument\n    - x is the point (numpy array) to evaluate the gradient at\n    \"\"\"\n\n    fx = f(x) # evaluate function value at original point\n    grad = np.zeros_like(x)\n    # iterate over all indexes in x\n    it = np.nditer(x, flags=['multi_index'], op_flags=['readwrite'])\n    while not it.finished:\n\n        # evaluate function at x+h\n        ix = it.multi_index\n        oldval = x[ix]\n        x[ix] = oldval + h # increment by h\n        fxph = f(x) # evalute f(x + h)\n        x[ix] = oldval - h\n        fxmh = f(x) # evaluate f(x - h)\n        x[ix] = oldval # restore\n\n        # compute the partial derivative with centered formula\n        grad[ix] = (fxph - fxmh) / (2 * h) # the slope\n        if verbose:\n            print(ix, grad[ix])\n        it.iternext() # step to next dimension\n\n    return grad\n\n\ndef eval_numerical_gradient_array(f, x, df, h=1e-5):\n    \"\"\"\n    Evaluate a numeric gradient for a function that accepts a numpy\n    array and returns a numpy array.\n    \"\"\"\n    grad = np.zeros_like(x)\n    it = np.nditer(x, flags=['multi_index'], op_flags=['readwrite'])\n    while not it.finished:\n        ix = it.multi_index\n\n        oldval = x[ix]\n        x[ix] = oldval + h\n        pos = f(x).copy()\n        x[ix] = oldval - h\n        neg = f(x).copy()\n        x[ix] = oldval\n\n        grad[ix] = np.sum((pos - neg) * df) / (2 * h)\n        it.iternext()\n    return grad\n\n\ndef eval_numerical_gradient_blobs(f, inputs, output, h=1e-5):\n    \"\"\"\n    Compute numeric gradients for a function that operates on input\n    and output blobs.\n\n    We assume that f accepts several input blobs as arguments, followed by a\n    blob where outputs will be written. For example, f might be called like:\n\n    f(x, w, out)\n\n    where x and w are input Blobs, and the result of f will be written to out.\n\n    Inputs:\n    - f: function\n    - inputs: tuple of input blobs\n    - output: output blob\n    - h: step size\n    \"\"\"\n    numeric_diffs = []\n    for input_blob in inputs:\n        diff = np.zeros_like(input_blob.diffs)\n        it = np.nditer(input_blob.vals, flags=['multi_index'],\n                       op_flags=['readwrite'])\n        while not it.finished:\n            idx = it.multi_index\n            orig = input_blob.vals[idx]\n\n            input_blob.vals[idx] = orig + h\n            f(*(inputs + (output,)))\n            pos = np.copy(output.vals)\n            input_blob.vals[idx] = orig - h\n            f(*(inputs + (output,)))\n            neg = np.copy(output.vals)\n            input_blob.vals[idx] = orig\n\n            diff[idx] = np.sum((pos - neg) * output.diffs) / (2.0 * h)\n\n            it.iternext()\n        numeric_diffs.append(diff)\n    return numeric_diffs\n\n\ndef eval_numerical_gradient_net(net, inputs, output, h=1e-5):\n    return eval_numerical_gradient_blobs(lambda *args: net.forward(),\n                inputs, output, h=h)\n\n\ndef grad_check_sparse(f, x, analytic_grad, num_checks=10, h=1e-5):\n    \"\"\"\n    sample a few random elements and only return numerical\n    in this dimensions.\n    \"\"\"\n\n    for i in range(num_checks):\n        ix = tuple([randrange(m) for m in x.shape])\n\n        oldval = x[ix]\n        x[ix] = oldval + h # increment by h\n        fxph = f(x) # evaluate f(x + h)\n        x[ix] = oldval - h # increment by h\n        fxmh = f(x) # evaluate f(x - h)\n        x[ix] = oldval # reset\n\n        grad_numerical = (fxph - fxmh) / (2 * h)\n        grad_analytic = analytic_grad[ix]\n        rel_error = (abs(grad_numerical - grad_analytic) /\n                    (abs(grad_numerical) + abs(grad_analytic)))\n        print('numerical: %f analytic: %f, relative error: %e'\n              %(grad_numerical, grad_analytic, rel_error))\n"
  },
  {
    "path": "cs231n/assignment1/cs231n/vis_utils.py",
    "content": "from builtins import range\nfrom past.builtins import xrange\n\nfrom math import sqrt, ceil\nimport numpy as np\n\ndef visualize_grid(Xs, ubound=255.0, padding=1):\n    \"\"\"\n    Reshape a 4D tensor of image data to a grid for easy visualization.\n\n    Inputs:\n    - Xs: Data of shape (N, H, W, C)\n    - ubound: Output grid will have values scaled to the range [0, ubound]\n    - padding: The number of blank pixels between elements of the grid\n    \"\"\"\n    (N, H, W, C) = Xs.shape\n    grid_size = int(ceil(sqrt(N)))\n    grid_height = H * grid_size + padding * (grid_size - 1)\n    grid_width = W * grid_size + padding * (grid_size - 1)\n    grid = np.zeros((grid_height, grid_width, C))\n    next_idx = 0\n    y0, y1 = 0, H\n    for y in range(grid_size):\n        x0, x1 = 0, W\n        for x in range(grid_size):\n            if next_idx < N:\n                img = Xs[next_idx]\n                low, high = np.min(img), np.max(img)\n                grid[y0:y1, x0:x1] = ubound * (img - low) / (high - low)\n                # grid[y0:y1, x0:x1] = Xs[next_idx]\n                next_idx += 1\n            x0 += W + padding\n            x1 += W + padding\n        y0 += H + padding\n        y1 += H + padding\n    # grid_max = np.max(grid)\n    # grid_min = np.min(grid)\n    # grid = ubound * (grid - grid_min) / (grid_max - grid_min)\n    return grid\n\ndef vis_grid(Xs):\n    \"\"\" visualize a grid of images \"\"\"\n    (N, H, W, C) = Xs.shape\n    A = int(ceil(sqrt(N)))\n    G = np.ones((A*H+A, A*W+A, C), Xs.dtype)\n    G *= np.min(Xs)\n    n = 0\n    for y in range(A):\n        for x in range(A):\n            if n < N:\n                G[y*H+y:(y+1)*H+y, x*W+x:(x+1)*W+x, :] = Xs[n,:,:,:]\n                n += 1\n    # normalize to [0,1]\n    maxg = G.max()\n    ming = G.min()\n    G = (G - ming)/(maxg-ming)\n    return G\n\ndef vis_nn(rows):\n    \"\"\" visualize array of arrays of images \"\"\"\n    N = len(rows)\n    D = len(rows[0])\n    H,W,C = rows[0][0].shape\n    Xs = rows[0][0]\n    G = np.ones((N*H+N, D*W+D, C), Xs.dtype)\n    for y in range(N):\n        for x in range(D):\n            G[y*H+y:(y+1)*H+y, x*W+x:(x+1)*W+x, :] = rows[y][x]\n    # normalize to [0,1]\n    maxg = G.max()\n    ming = G.min()\n    G = (G - ming)/(maxg-ming)\n    return G\n"
  },
  {
    "path": "cs231n/assignment1/features.ipynb",
    "content": "{\"nbformat\":4,\"nbformat_minor\":0,\"metadata\":{\"colab\":{\"name\":\"features.ipynb\",\"provenance\":[],\"collapsed_sections\":[]},\"kernelspec\":{\"name\":\"python3\",\"display_name\":\"Python 3\"}},\"cells\":[{\"cell_type\":\"code\",\"metadata\":{\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"id\":\"x4FJ_QKSt97H\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1616336945540,\"user_tz\":-60,\"elapsed\":33043,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"2f1382c6-55d7-4fc1-effa-a1b49dfc4854\"},\"source\":[\"from google.colab import drive\\n\",\"\\n\",\"drive.mount('/content/drive', force_remount=True)\\n\",\"\\n\",\"# enter the foldername in your Drive where you have saved the unzipped\\n\",\"# 'cs231n' folder containing the '.py', 'classifiers' and 'datasets'\\n\",\"# folders.\\n\",\"# e.g. 'cs231n/assignments/assignment1/cs231n/'\\n\",\"FOLDERNAME = 'cs231n/assignments/assignment1/cs231n/'\\n\",\"\\n\",\"assert FOLDERNAME is not None, \\\"[!] Enter the foldername.\\\"\\n\",\"\\n\",\"%cd drive/My\\\\ Drive\\n\",\"%cp -r $FOLDERNAME ../../\\n\",\"%cd ../../\\n\",\"%cd cs231n/datasets/\\n\",\"!bash get_datasets.sh\\n\",\"%cd ../../\"],\"execution_count\":1,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Mounted at /content/drive\\n\",\"/content/drive/My Drive\\n\",\"/content\\n\",\"/content/cs231n/datasets\\n\",\"--2021-03-21 14:28:59--  http://www.cs.toronto.edu/~kriz/cifar-10-python.tar.gz\\n\",\"Resolving www.cs.toronto.edu (www.cs.toronto.edu)... 128.100.3.30\\n\",\"Connecting to www.cs.toronto.edu (www.cs.toronto.edu)|128.100.3.30|:80... connected.\\n\",\"HTTP request sent, awaiting response... 200 OK\\n\",\"Length: 170498071 (163M) [application/x-gzip]\\n\",\"Saving to: ‘cifar-10-python.tar.gz’\\n\",\"\\n\",\"cifar-10-python.tar 100%[===================>] 162.60M  61.2MB/s    in 2.7s    \\n\",\"\\n\",\"2021-03-21 14:29:02 (61.2 MB/s) - ‘cifar-10-python.tar.gz’ saved [170498071/170498071]\\n\",\"\\n\",\"cifar-10-batches-py/\\n\",\"cifar-10-batches-py/data_batch_4\\n\",\"cifar-10-batches-py/readme.html\\n\",\"cifar-10-batches-py/test_batch\\n\",\"cifar-10-batches-py/data_batch_3\\n\",\"cifar-10-batches-py/batches.meta\\n\",\"cifar-10-batches-py/data_batch_2\\n\",\"cifar-10-batches-py/data_batch_5\\n\",\"cifar-10-batches-py/data_batch_1\\n\",\"/content\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"tags\":[\"pdf-title\"],\"id\":\"GFLgyN93t97O\"},\"source\":[\"# Image features exercise\\n\",\"*Complete and hand in this completed worksheet (including its outputs and any supporting code outside of the worksheet) with your assignment submission. For more details see the [assignments page](http://vision.stanford.edu/teaching/cs231n/assignments.html) on the course website.*\\n\",\"\\n\",\"We have seen that we can achieve reasonable performance on an image classification task by training a linear classifier on the pixels of the input image. In this exercise we will show that we can improve our classification performance by training linear classifiers not on raw pixels but on features that are computed from the raw pixels.\\n\",\"\\n\",\"All of your work for this exercise will be done in this notebook.\"]},{\"cell_type\":\"code\",\"metadata\":{\"tags\":[\"pdf-ignore\"],\"id\":\"skxP_7nlt97P\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1616336951293,\"user_tz\":-60,\"elapsed\":620,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}}},\"source\":[\"import random\\n\",\"import numpy as np\\n\",\"from cs231n.data_utils import load_CIFAR10\\n\",\"import matplotlib.pyplot as plt\\n\",\"\\n\",\"\\n\",\"%matplotlib inline\\n\",\"plt.rcParams['figure.figsize'] = (10.0, 8.0) # set default size of plots\\n\",\"plt.rcParams['image.interpolation'] = 'nearest'\\n\",\"plt.rcParams['image.cmap'] = 'gray'\\n\",\"\\n\",\"# for auto-reloading extenrnal modules\\n\",\"# see http://stackoverflow.com/questions/1907993/autoreload-of-modules-in-ipython\\n\",\"%load_ext autoreload\\n\",\"%autoreload 2\"],\"execution_count\":2,\"outputs\":[]},{\"cell_type\":\"markdown\",\"metadata\":{\"tags\":[\"pdf-ignore\"],\"id\":\"PIm_jpxDt97Q\"},\"source\":[\"## Load data\\n\",\"Similar to previous exercises, we will load CIFAR-10 data from disk.\"]},{\"cell_type\":\"code\",\"metadata\":{\"tags\":[\"pdf-ignore\"],\"id\":\"0sDu4RUzt97Q\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1616336961633,\"user_tz\":-60,\"elapsed\":2776,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}}},\"source\":[\"from cs231n.features import color_histogram_hsv, hog_feature\\n\",\"\\n\",\"def get_CIFAR10_data(num_training=49000, num_validation=1000, num_test=1000):\\n\",\"    # Load the raw CIFAR-10 data\\n\",\"    cifar10_dir = 'cs231n/datasets/cifar-10-batches-py'\\n\",\"\\n\",\"    # Cleaning up variables to prevent loading data multiple times (which may cause memory issue)\\n\",\"    try:\\n\",\"       del X_train, y_train\\n\",\"       del X_test, y_test\\n\",\"       print('Clear previously loaded data.')\\n\",\"    except:\\n\",\"       pass\\n\",\"\\n\",\"    X_train, y_train, X_test, y_test = load_CIFAR10(cifar10_dir)\\n\",\"    \\n\",\"    # Subsample the data\\n\",\"    mask = list(range(num_training, num_training + num_validation))\\n\",\"    X_val = X_train[mask]\\n\",\"    y_val = y_train[mask]\\n\",\"    mask = list(range(num_training))\\n\",\"    X_train = X_train[mask]\\n\",\"    y_train = y_train[mask]\\n\",\"    mask = list(range(num_test))\\n\",\"    X_test = X_test[mask]\\n\",\"    y_test = y_test[mask]\\n\",\"    \\n\",\"    return X_train, y_train, X_val, y_val, X_test, y_test\\n\",\"\\n\",\"X_train, y_train, X_val, y_val, X_test, y_test = get_CIFAR10_data()\"],\"execution_count\":3,\"outputs\":[]},{\"cell_type\":\"markdown\",\"metadata\":{\"tags\":[\"pdf-ignore\"],\"id\":\"P-R35dUyt97Q\"},\"source\":[\"## Extract Features\\n\",\"For each image we will compute a Histogram of Oriented\\n\",\"Gradients (HOG) as well as a color histogram using the hue channel in HSV\\n\",\"color space. We form our final feature vector for each image by concatenating\\n\",\"the HOG and color histogram feature vectors.\\n\",\"\\n\",\"Roughly speaking, HOG should capture the texture of the image while ignoring\\n\",\"color information, and the color histogram represents the color of the input\\n\",\"image while ignoring texture. As a result, we expect that using both together\\n\",\"ought to work better than using either alone. Verifying this assumption would\\n\",\"be a good thing to try for your own interest.\\n\",\"\\n\",\"The `hog_feature` and `color_histogram_hsv` functions both operate on a single\\n\",\"image and return a feature vector for that image. The extract_features\\n\",\"function takes a set of images and a list of feature functions and evaluates\\n\",\"each feature function on each image, storing the results in a matrix where\\n\",\"each column is the concatenation of all feature vectors for a single image.\"]},{\"cell_type\":\"code\",\"metadata\":{\"scrolled\":true,\"tags\":[\"pdf-ignore\"],\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"id\":\"SSU9t4v7t97S\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1616337031550,\"user_tz\":-60,\"elapsed\":60354,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"f8db031a-24df-441a-e436-889fbc78b35e\"},\"source\":[\"from cs231n.features import *\\n\",\"\\n\",\"num_color_bins = 20 # Number of bins in the color histogram (Changed from original value: 10)\\n\",\"feature_fns = [hog_feature, lambda img: color_histogram_hsv(img, nbin=num_color_bins)]\\n\",\"X_train_feats = extract_features(X_train, feature_fns, verbose=True)\\n\",\"X_val_feats = extract_features(X_val, feature_fns)\\n\",\"X_test_feats = extract_features(X_test, feature_fns)\\n\",\"\\n\",\"# Preprocessing: Subtract the mean feature\\n\",\"mean_feat = np.mean(X_train_feats, axis=0, keepdims=True)\\n\",\"X_train_feats -= mean_feat\\n\",\"X_val_feats -= mean_feat\\n\",\"X_test_feats -= mean_feat\\n\",\"\\n\",\"# Preprocessing: Divide by standard deviation. This ensures that each feature\\n\",\"# has roughly the same scale.\\n\",\"std_feat = np.std(X_train_feats, axis=0, keepdims=True)\\n\",\"X_train_feats /= std_feat\\n\",\"X_val_feats /= std_feat\\n\",\"X_test_feats /= std_feat\\n\",\"\\n\",\"# Preprocessing: Add a bias dimension\\n\",\"X_train_feats = np.hstack([X_train_feats, np.ones((X_train_feats.shape[0], 1))])\\n\",\"X_val_feats = np.hstack([X_val_feats, np.ones((X_val_feats.shape[0], 1))])\\n\",\"X_test_feats = np.hstack([X_test_feats, np.ones((X_test_feats.shape[0], 1))])\"],\"execution_count\":4,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Done extracting features for 1000 / 49000 images\\n\",\"Done extracting features for 2000 / 49000 images\\n\",\"Done extracting features for 3000 / 49000 images\\n\",\"Done extracting features for 4000 / 49000 images\\n\",\"Done extracting features for 5000 / 49000 images\\n\",\"Done extracting features for 6000 / 49000 images\\n\",\"Done extracting features for 7000 / 49000 images\\n\",\"Done extracting features for 8000 / 49000 images\\n\",\"Done extracting features for 9000 / 49000 images\\n\",\"Done extracting features for 10000 / 49000 images\\n\",\"Done extracting features for 11000 / 49000 images\\n\",\"Done extracting features for 12000 / 49000 images\\n\",\"Done extracting features for 13000 / 49000 images\\n\",\"Done extracting features for 14000 / 49000 images\\n\",\"Done extracting features for 15000 / 49000 images\\n\",\"Done extracting features for 16000 / 49000 images\\n\",\"Done extracting features for 17000 / 49000 images\\n\",\"Done extracting features for 18000 / 49000 images\\n\",\"Done extracting features for 19000 / 49000 images\\n\",\"Done extracting features for 20000 / 49000 images\\n\",\"Done extracting features for 21000 / 49000 images\\n\",\"Done extracting features for 22000 / 49000 images\\n\",\"Done extracting features for 23000 / 49000 images\\n\",\"Done extracting features for 24000 / 49000 images\\n\",\"Done extracting features for 25000 / 49000 images\\n\",\"Done extracting features for 26000 / 49000 images\\n\",\"Done extracting features for 27000 / 49000 images\\n\",\"Done extracting features for 28000 / 49000 images\\n\",\"Done extracting features for 29000 / 49000 images\\n\",\"Done extracting features for 30000 / 49000 images\\n\",\"Done extracting features for 31000 / 49000 images\\n\",\"Done extracting features for 32000 / 49000 images\\n\",\"Done extracting features for 33000 / 49000 images\\n\",\"Done extracting features for 34000 / 49000 images\\n\",\"Done extracting features for 35000 / 49000 images\\n\",\"Done extracting features for 36000 / 49000 images\\n\",\"Done extracting features for 37000 / 49000 images\\n\",\"Done extracting features for 38000 / 49000 images\\n\",\"Done extracting features for 39000 / 49000 images\\n\",\"Done extracting features for 40000 / 49000 images\\n\",\"Done extracting features for 41000 / 49000 images\\n\",\"Done extracting features for 42000 / 49000 images\\n\",\"Done extracting features for 43000 / 49000 images\\n\",\"Done extracting features for 44000 / 49000 images\\n\",\"Done extracting features for 45000 / 49000 images\\n\",\"Done extracting features for 46000 / 49000 images\\n\",\"Done extracting features for 47000 / 49000 images\\n\",\"Done extracting features for 48000 / 49000 images\\n\",\"Done extracting features for 49000 / 49000 images\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"fPDBygbjt97S\"},\"source\":[\"## Train SVM on features\\n\",\"Using the multiclass SVM code developed earlier in the assignment, train SVMs on top of the features extracted above; this should achieve better results than training SVMs directly on top of raw pixels.\"]},{\"cell_type\":\"code\",\"metadata\":{\"tags\":[\"code\"],\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"id\":\"1KC8Xhvzt97T\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1616337059111,\"user_tz\":-60,\"elapsed\":1988,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"04859090-c05b-4d56-8436-acb9be78139c\"},\"source\":[\"# Use the validation set to tune the learning rate and regularization strength\\n\",\"\\n\",\"from cs231n.classifiers.linear_classifier import LinearSVM\\n\",\"\\n\",\"learning_rates = [1e-8]\\n\",\"regularization_strengths = [1e6]\\n\",\"\\n\",\"results = {}\\n\",\"best_val = -1\\n\",\"best_svm = None\\n\",\"\\n\",\"################################################################################\\n\",\"# TODO:                                                                        #\\n\",\"# Use the validation set to set the learning rate and regularization strength. #\\n\",\"# This should be identical to the validation that you did for the SVM; save    #\\n\",\"# the best trained classifer in best_svm. You might also want to play          #\\n\",\"# with different numbers of bins in the color histogram. If you are careful    #\\n\",\"# you should be able to get accuracy of near 0.44 on the validation set.       #\\n\",\"################################################################################\\n\",\"# *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\\n\",\"\\n\",\"# Tested numbers of bins in the color histogram:\\n\",\"# num_color_bins = 10, best validation accuracy: 0.417\\n\",\"# num_color_bins = 15, best validation accuracy: 0.432\\n\",\"# num_color_bins = 20, best validation accuracy: 0.430\\n\",\"# num_color_bins = 25, best validation accuracy: 0.423\\n\",\"\\n\",\"for lr in learning_rates:\\n\",\"  for rs in regularization_strengths:\\n\",\"    svm = LinearSVM()\\n\",\"    loss_hist = svm.train(X_train_feats, y_train, learning_rate=lr, reg=rs,\\n\",\"                          num_iters=2000, verbose=False)\\n\",\"\\n\",\"    y_train_pred = svm.predict(X_train_feats)\\n\",\"    training_accuracy = np.mean(y_train == y_train_pred)\\n\",\"\\n\",\"    y_val_pred = svm.predict(X_val_feats)\\n\",\"    validation_accuracy = np.mean(y_val == y_val_pred)\\n\",\"\\n\",\"    results[(lr, rs)] = (training_accuracy, validation_accuracy)\\n\",\"\\n\",\"    if validation_accuracy > best_val:\\n\",\"      best_val = validation_accuracy\\n\",\"      best_svm = svm\\n\",\"\\n\",\"# *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\\n\",\"\\n\",\"# Print out results.\\n\",\"for lr, reg in sorted(results):\\n\",\"    train_accuracy, val_accuracy = results[(lr, reg)]\\n\",\"    print('lr %e reg %e train accuracy: %f val accuracy: %f' % (\\n\",\"                lr, reg, train_accuracy, val_accuracy))\\n\",\"    \\n\",\"print('best validation accuracy achieved during cross-validation: %f' % best_val)\"],\"execution_count\":7,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"lr 1.000000e-08 reg 1.000000e+06 train accuracy: 0.419776 val accuracy: 0.437000\\n\",\"best validation accuracy achieved during cross-validation: 0.437000\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"svm_test_accuracy\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1616337078469,\"user_tz\":-60,\"elapsed\":679,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"3e64d1d1-7754-46ca-bcb9-afcd8991e8ad\"},\"source\":[\"# Evaluate your trained SVM on the test set: you should be able to get at least 0.40\\n\",\"y_test_pred = best_svm.predict(X_test_feats)\\n\",\"test_accuracy = np.mean(y_test == y_test_pred)\\n\",\"print(test_accuracy)\"],\"execution_count\":8,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"0.418\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"code\",\"metadata\":{\"colab\":{\"base_uri\":\"https://localhost:8080/\",\"height\":482},\"id\":\"cFzozd1zt97U\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1616337088495,\"user_tz\":-60,\"elapsed\":3409,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"e5931541-445d-48a9-9ddc-62aa1d4edc49\"},\"source\":[\"# An important way to gain intuition about how an algorithm works is to\\n\",\"# visualize the mistakes that it makes. In this visualization, we show examples\\n\",\"# of images that are misclassified by our current system. The first column\\n\",\"# shows images that our system labeled as \\\"plane\\\" but whose true label is\\n\",\"# something other than \\\"plane\\\".\\n\",\"\\n\",\"examples_per_class = 8\\n\",\"classes = ['plane', 'car', 'bird', 'cat', 'deer', 'dog', 'frog', 'horse', 'ship', 'truck']\\n\",\"for cls, cls_name in enumerate(classes):\\n\",\"    idxs = np.where((y_test != cls) & (y_test_pred == cls))[0]\\n\",\"    idxs = np.random.choice(idxs, examples_per_class, replace=False)\\n\",\"    for i, idx in enumerate(idxs):\\n\",\"        plt.subplot(examples_per_class, len(classes), i * len(classes) + cls + 1)\\n\",\"        plt.imshow(X_test[idx].astype('uint8'))\\n\",\"        plt.axis('off')\\n\",\"        if i == 0:\\n\",\"            plt.title(cls_name)\\n\",\"plt.show()\"],\"execution_count\":9,\"outputs\":[{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 720x576 with 80 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}}]},{\"cell_type\":\"markdown\",\"metadata\":{\"tags\":[\"pdf-inline\"],\"id\":\"FAxaCAUat97V\"},\"source\":[\"### Inline question 1:\\n\",\"Describe the misclassification results that you see. Do they make sense?\\n\",\"\\n\",\"\\n\",\"$\\\\color{blue}{\\\\textit Your Answer:}$\\n\",\"\\n\",\"As described previously, the SVM classifier takes as input the concatenation of the image's texture (HOG) and its color information (color histogram). Thus, misclassified images have -much probably- the same texture and/or overall color as their predicted wrong class.\\n\",\"\\n\",\"By analyzing the results above, we notice that this is the case, e.g: Some images are labeled (wrongly) as \\\"plane\\\" because they have the same texture as a plane (a \\\"ship\\\" or \\\"bird\\\") or they have a blue color (e.g. a ship in the sea) which misleads the classifier to \\\"think\\\" that this blue represents the \\\"sky\\\".\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"Tn9kA-Rmt97W\"},\"source\":[\"## Neural Network on image features\\n\",\"Earlier in this assigment we saw that training a two-layer neural network on raw pixels achieved better classification performance than linear classifiers on raw pixels. In this notebook we have seen that linear classifiers on image features outperform linear classifiers on raw pixels. \\n\",\"\\n\",\"For completeness, we should also try training a neural network on image features. This approach should outperform all previous approaches: you should easily be able to achieve over 55% classification accuracy on the test set; our best model achieves about 60% classification accuracy.\"]},{\"cell_type\":\"code\",\"metadata\":{\"tags\":[\"pdf-ignore\"],\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"id\":\"7k0YZddMt97W\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1616337101834,\"user_tz\":-60,\"elapsed\":598,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"9e2977cf-2e70-4699-f216-0503b8f0cce8\"},\"source\":[\"# Preprocessing: Remove the bias dimension\\n\",\"# Make sure to run this cell only ONCE\\n\",\"print(X_train_feats.shape)\\n\",\"X_train_feats = X_train_feats[:, :-1]\\n\",\"X_val_feats = X_val_feats[:, :-1]\\n\",\"X_test_feats = X_test_feats[:, :-1]\\n\",\"\\n\",\"print(X_train_feats.shape)\"],\"execution_count\":10,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"(49000, 165)\\n\",\"(49000, 164)\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"code\",\"metadata\":{\"tags\":[\"code\"],\"id\":\"BWjkrKQ1t97X\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1616340518584,\"user_tz\":-60,\"elapsed\":342699,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"5f82ddf6-d911-4b1c-9f9a-0fa056ebf572\"},\"source\":[\"from cs231n.classifiers.neural_net import TwoLayerNet\\n\",\"\\n\",\"input_dim = X_train_feats.shape[1]\\n\",\"# hidden_dim = 500\\n\",\"num_classes = 10\\n\",\"\\n\",\"# net = TwoLayerNet(input_dim, hidden_dim, num_classes)\\n\",\"best_net = None\\n\",\"\\n\",\"################################################################################\\n\",\"# TODO: Train a two-layer neural network on image features. You may want to    #\\n\",\"# cross-validate various parameters as in previous sections. Store your best   #\\n\",\"# model in the best_net variable.                                              #\\n\",\"################################################################################\\n\",\"# *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\\n\",\"\\n\",\"# To find the optimal parameter combination, we'll use a random search strategy.\\n\",\"# For that, define a random search function, which yields tuples of (hidden_size, lr, reg)\\n\",\"# Note that the hard-coded low/high values for each parameter are changed (i.e. refined)\\n\",\"# during tests.\\n\",\"def random_search(sample_size):\\n\",\"  for _ in range(sample_size):\\n\",\"    hsize = np.random.randint(low=10, high=1000)\\n\",\"    lr = 10 ** np.random.uniform(low=-1, high=0)\\n\",\"    reg = 10 ** np.random.uniform(low=-10, high=-4)\\n\",\"\\n\",\"    yield hsize, lr, reg\\n\",\"\\n\",\"best_val_acc = 0.0\\n\",\"\\n\",\"# These three parameters are kept unchanged during the random search.\\n\",\"# As their changing don't contribute with a significant amount to the validation accuracy.\\n\",\"lr_decay = 0.95\\n\",\"batch_size = 200\\n\",\"num_iters = 3000\\n\",\"\\n\",\"# Test 10 parameter combinations.\\n\",\"for i, params in enumerate(random_search(10)):\\n\",\"  hsize, lr, reg = params\\n\",\"\\n\",\"  net = TwoLayerNet(input_dim, hsize, num_classes)\\n\",\"\\n\",\"  stats = net.train(X_train_feats, y_train, X_val_feats, y_val,\\n\",\"              num_iters=num_iters, batch_size=batch_size,\\n\",\"              learning_rate=lr, learning_rate_decay=lr_decay,\\n\",\"              reg=reg, verbose=False)\\n\",\"\\n\",\"  val_acc = stats['val_acc_history'][-1]\\n\",\"\\n\",\"  print('%2d) hsize=%3d | lr=%.3e | reg=%.3e | val_acc=%.4f' % (i+1, hsize, lr, reg, val_acc))\\n\",\"\\n\",\"  if val_acc > best_val_acc:\\n\",\"    best_val_acc = val_acc\\n\",\"    best_net = net\\n\",\"\\n\",\"print('\\\\nBest validation accuracy: %.4f' % best_val_acc)\\n\",\"\\n\",\"# *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\\n\"],\"execution_count\":28,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\" 1) hsize=957 | lr=3.221e-01 | reg=1.121e-07 | val_acc=0.5990\\n\",\" 2) hsize=908 | lr=6.121e-01 | reg=4.822e-06 | val_acc=0.5860\\n\",\" 3) hsize=390 | lr=3.733e-01 | reg=2.092e-08 | val_acc=0.6030\\n\",\" 4) hsize=616 | lr=2.790e-01 | reg=8.903e-10 | val_acc=0.6100\\n\",\" 5) hsize=942 | lr=1.167e-01 | reg=4.351e-09 | val_acc=0.5950\\n\",\" 6) hsize=717 | lr=2.326e-01 | reg=3.680e-07 | val_acc=0.6180\\n\",\" 7) hsize=483 | lr=2.543e-01 | reg=1.282e-09 | val_acc=0.5970\\n\",\" 8) hsize=710 | lr=1.975e-01 | reg=3.573e-07 | val_acc=0.5960\\n\",\" 9) hsize=936 | lr=6.352e-01 | reg=6.854e-06 | val_acc=0.5900\\n\",\"10) hsize=316 | lr=1.482e-01 | reg=4.773e-10 | val_acc=0.5840\\n\",\"\\n\",\"Best validation accuracy: 0.6180\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"nn_test_accuracy\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1616340523054,\"user_tz\":-60,\"elapsed\":602,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"9a428292-e27d-4b84-cb1d-377eda5a1a92\"},\"source\":[\"# Run your best neural net classifier on the test set. You should be able\\n\",\"# to get more than 55% accuracy.\\n\",\"\\n\",\"test_acc = (best_net.predict(X_test_feats) == y_test).mean()\\n\",\"print(test_acc)\"],\"execution_count\":29,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"0.587\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"EW-Pj5E4t97Y\"},\"source\":[\"---\\n\",\"# IMPORTANT\\n\",\"\\n\",\"This is the end of this question. Please do the following:\\n\",\"\\n\",\"1. Click `File -> Save` to make sure the latest checkpoint of this notebook is saved to your Drive.\\n\",\"2. Execute the cell below to download the modified `.py` files back to your drive.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"9R3-aHGbt97Y\"},\"source\":[\"import os\\n\",\"\\n\",\"FOLDER_TO_SAVE = os.path.join('drive/My Drive/', FOLDERNAME)\\n\",\"FILES_TO_SAVE = []\\n\",\"\\n\",\"for files in FILES_TO_SAVE:\\n\",\"  with open(os.path.join(FOLDER_TO_SAVE, '/'.join(files.split('/')[1:])), 'w') as f:\\n\",\"    f.write(''.join(open(files).readlines()))\"],\"execution_count\":null,\"outputs\":[]}]}"
  },
  {
    "path": "cs231n/assignment1/knn.ipynb",
    "content": "{\"nbformat\":4,\"nbformat_minor\":0,\"metadata\":{\"colab\":{\"name\":\"knn.ipynb\",\"provenance\":[],\"collapsed_sections\":[],\"toc_visible\":true},\"kernelspec\":{\"name\":\"python3\",\"display_name\":\"Python 3\"}},\"cells\":[{\"cell_type\":\"code\",\"metadata\":{\"id\":\"6eEULpafGIVd\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1616929228991,\"user_tz\":-60,\"elapsed\":31546,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"2997ada3-75c9-43d3-bea6-6779afe83b9e\"},\"source\":[\"from google.colab import drive\\n\",\"\\n\",\"drive.mount('/content/drive', force_remount=True)\\n\",\"\\n\",\"# enter the foldername in your Drive where you have saved the unzipped\\n\",\"# 'cs231n' folder containing the '.py', 'classifiers' and 'datasets'\\n\",\"# folders.\\n\",\"# e.g. 'cs231n/assignments/assignment1/cs231n/'\\n\",\"FOLDERNAME = 'cs231n/assignments/assignment1/cs231n/'\\n\",\"\\n\",\"assert FOLDERNAME is not None, \\\"[!] Enter the foldername.\\\"\\n\",\"\\n\",\"%cd drive/My\\\\ Drive\\n\",\"%cp -r $FOLDERNAME ../../\\n\",\"%cd ../../\\n\",\"%cd cs231n/datasets/\\n\",\"!bash get_datasets.sh\\n\",\"%cd ../../\"],\"execution_count\":1,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Mounted at /content/drive\\n\",\"/content/drive/My Drive\\n\",\"/content\\n\",\"/content/cs231n/datasets\\n\",\"--2021-03-28 11:00:19--  http://www.cs.toronto.edu/~kriz/cifar-10-python.tar.gz\\n\",\"Resolving www.cs.toronto.edu (www.cs.toronto.edu)... 128.100.3.30\\n\",\"Connecting to www.cs.toronto.edu (www.cs.toronto.edu)|128.100.3.30|:80... connected.\\n\",\"HTTP request sent, awaiting response... 200 OK\\n\",\"Length: 170498071 (163M) [application/x-gzip]\\n\",\"Saving to: ‘cifar-10-python.tar.gz’\\n\",\"\\n\",\"cifar-10-python.tar 100%[===================>] 162.60M  47.1MB/s    in 3.8s    \\n\",\"\\n\",\"2021-03-28 11:00:22 (43.0 MB/s) - ‘cifar-10-python.tar.gz’ saved [170498071/170498071]\\n\",\"\\n\",\"cifar-10-batches-py/\\n\",\"cifar-10-batches-py/data_batch_4\\n\",\"cifar-10-batches-py/readme.html\\n\",\"cifar-10-batches-py/test_batch\\n\",\"cifar-10-batches-py/data_batch_3\\n\",\"cifar-10-batches-py/batches.meta\\n\",\"cifar-10-batches-py/data_batch_2\\n\",\"cifar-10-batches-py/data_batch_5\\n\",\"cifar-10-batches-py/data_batch_1\\n\",\"/content\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"tags\":[\"pdf-title\"],\"id\":\"HVHmJk29GIVl\"},\"source\":[\"# k-Nearest Neighbor (kNN) exercise\\n\",\"\\n\",\"*Complete and hand in this completed worksheet (including its outputs and any supporting code outside of the worksheet) with your assignment submission. For more details see the [assignments page](http://vision.stanford.edu/teaching/cs231n/assignments.html) on the course website.*\\n\",\"\\n\",\"The kNN classifier consists of two stages:\\n\",\"\\n\",\"- During training, the classifier takes the training data and simply remembers it\\n\",\"- During testing, kNN classifies every test image by comparing to all training images and transfering the labels of the k most similar training examples\\n\",\"- The value of k is cross-validated\\n\",\"\\n\",\"In this exercise you will implement these steps and understand the basic Image Classification pipeline, cross-validation, and gain proficiency in writing efficient, vectorized code.\"]},{\"cell_type\":\"code\",\"metadata\":{\"tags\":[\"pdf-ignore\"],\"id\":\"H2l03fqlGIVm\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1616929248263,\"user_tz\":-60,\"elapsed\":597,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}}},\"source\":[\"# Run some setup code for this notebook.\\n\",\"\\n\",\"import random\\n\",\"import numpy as np\\n\",\"from cs231n.data_utils import load_CIFAR10\\n\",\"import matplotlib.pyplot as plt\\n\",\"\\n\",\"# This is a bit of magic to make matplotlib figures appear inline in the notebook\\n\",\"# rather than in a new window.\\n\",\"%matplotlib inline\\n\",\"plt.rcParams['figure.figsize'] = (10.0, 8.0) # set default size of plots\\n\",\"plt.rcParams['image.interpolation'] = 'nearest'\\n\",\"plt.rcParams['image.cmap'] = 'gray'\\n\",\"\\n\",\"# Some more magic so that the notebook will reload external python modules;\\n\",\"# see http://stackoverflow.com/questions/1907993/autoreload-of-modules-in-ipython\\n\",\"%load_ext autoreload\\n\",\"%autoreload 2\"],\"execution_count\":2,\"outputs\":[]},{\"cell_type\":\"code\",\"metadata\":{\"tags\":[\"pdf-ignore\"],\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"id\":\"LRAH9dpuGIVn\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1616929253539,\"user_tz\":-60,\"elapsed\":1943,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"9949e05f-db47-468a-d7da-2ca404c4d6e1\"},\"source\":[\"# Load the raw CIFAR-10 data.\\n\",\"cifar10_dir = 'cs231n/datasets/cifar-10-batches-py'\\n\",\"\\n\",\"# Cleaning up variables to prevent loading data multiple times (which may cause memory issue)\\n\",\"try:\\n\",\"   del X_train, y_train\\n\",\"   del X_test, y_test\\n\",\"   print('Clear previously loaded data.')\\n\",\"except:\\n\",\"   pass\\n\",\"\\n\",\"X_train, y_train, X_test, y_test = load_CIFAR10(cifar10_dir)\\n\",\"\\n\",\"# As a sanity check, we print out the size of the training and test data.\\n\",\"print('Training data shape: ', X_train.shape)\\n\",\"print('Training labels shape: ', y_train.shape)\\n\",\"print('Test data shape: ', X_test.shape)\\n\",\"print('Test labels shape: ', y_test.shape)\"],\"execution_count\":3,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Training data shape:  (50000, 32, 32, 3)\\n\",\"Training labels shape:  (50000,)\\n\",\"Test data shape:  (10000, 32, 32, 3)\\n\",\"Test labels shape:  (10000,)\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"code\",\"metadata\":{\"tags\":[\"pdf-ignore\"],\"colab\":{\"base_uri\":\"https://localhost:8080/\",\"height\":475},\"id\":\"RQt4ZzkQGIVo\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1616929263795,\"user_tz\":-60,\"elapsed\":4046,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"c0e52130-5beb-4c65-f866-6f1a07989d1e\"},\"source\":[\"# Visualize some examples from the dataset.\\n\",\"# We show a few examples of training images from each class.\\n\",\"classes = ['plane', 'car', 'bird', 'cat', 'deer', 'dog', 'frog', 'horse', 'ship', 'truck']\\n\",\"num_classes = len(classes)\\n\",\"samples_per_class = 7\\n\",\"for y, cls in enumerate(classes):\\n\",\"    idxs = np.flatnonzero(y_train == y)\\n\",\"    idxs = np.random.choice(idxs, samples_per_class, replace=False)\\n\",\"    for i, idx in enumerate(idxs):\\n\",\"        plt_idx = i * num_classes + y + 1\\n\",\"        plt.subplot(samples_per_class, num_classes, plt_idx)\\n\",\"        plt.imshow(X_train[idx].astype('uint8'))\\n\",\"        plt.axis('off')\\n\",\"        if i == 0:\\n\",\"            plt.title(cls)\\n\",\"plt.show()\"],\"execution_count\":4,\"outputs\":[{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 720x576 with 70 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}}]},{\"cell_type\":\"code\",\"metadata\":{\"tags\":[\"pdf-ignore\"],\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"id\":\"kjoRGEBXGIVo\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1616929268712,\"user_tz\":-60,\"elapsed\":682,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"206f44dd-4bca-4ba5-912c-31a148b41d83\"},\"source\":[\"# Subsample the data for more efficient code execution in this exercise\\n\",\"num_training = 5000\\n\",\"mask = list(range(num_training))\\n\",\"X_train = X_train[mask]\\n\",\"y_train = y_train[mask]\\n\",\"\\n\",\"num_test = 500\\n\",\"mask = list(range(num_test))\\n\",\"X_test = X_test[mask]\\n\",\"y_test = y_test[mask]\\n\",\"\\n\",\"# Reshape the image data into rows\\n\",\"X_train = np.reshape(X_train, (X_train.shape[0], -1))\\n\",\"X_test = np.reshape(X_test, (X_test.shape[0], -1))\\n\",\"print(X_train.shape, X_test.shape)\"],\"execution_count\":5,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"(5000, 3072) (500, 3072)\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"code\",\"metadata\":{\"tags\":[\"pdf-ignore\"],\"id\":\"yktr4Q2FGIVo\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1616929281593,\"user_tz\":-60,\"elapsed\":766,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}}},\"source\":[\"from cs231n.classifiers import KNearestNeighbor\\n\",\"\\n\",\"# Create a kNN classifier instance. \\n\",\"# Remember that training a kNN classifier is a noop: \\n\",\"# the Classifier simply remembers the data and does no further processing \\n\",\"classifier = KNearestNeighbor()\\n\",\"classifier.train(X_train, y_train)\"],\"execution_count\":6,\"outputs\":[]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"0R6Gnn8DGIVp\"},\"source\":[\"We would now like to classify the test data with the kNN classifier. Recall that we can break down this process into two steps: \\n\",\"\\n\",\"1. First we must compute the distances between all test examples and all train examples. \\n\",\"2. Given these distances, for each test example we find the k nearest examples and have them vote for the label\\n\",\"\\n\",\"Lets begin with computing the distance matrix between all training and test examples. For example, if there are **Ntr** training examples and **Nte** test examples, this stage should result in a **Nte x Ntr** matrix where each element (i,j) is the distance between the i-th test and j-th train example.\\n\",\"\\n\",\"**Note: For the three distance computations that we require you to implement in this notebook, you may not use the np.linalg.norm() function that numpy provides.**\\n\",\"\\n\",\"First, open `cs231n/classifiers/k_nearest_neighbor.py` and implement the function `compute_distances_two_loops` that uses a (very inefficient) double loop over all pairs of (test, train) examples and computes the distance matrix one element at a time.\"]},{\"cell_type\":\"code\",\"metadata\":{\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"id\":\"eIOPiOjMGIVp\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1616929384039,\"user_tz\":-60,\"elapsed\":40051,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"ebd061fa-7ad4-4045-972c-600cddbdae4c\"},\"source\":[\"# Open cs231n/classifiers/k_nearest_neighbor.py and implement\\n\",\"# compute_distances_two_loops.\\n\",\"\\n\",\"# Test your implementation:\\n\",\"dists = classifier.compute_distances_two_loops(X_test)\\n\",\"print(dists.shape)\"],\"execution_count\":7,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"(500, 5000)\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"code\",\"metadata\":{\"colab\":{\"base_uri\":\"https://localhost:8080/\",\"height\":107},\"id\":\"DExUA9bBGIVp\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1616929388789,\"user_tz\":-60,\"elapsed\":1291,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"31d6267e-3473-4384-ba6b-7adcb7a72674\"},\"source\":[\"# We can visualize the distance matrix: each row is a single test example and\\n\",\"# its distances to training examples\\n\",\"plt.imshow(dists, interpolation='none')\\n\",\"plt.show()\"],\"execution_count\":8,\"outputs\":[{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 720x576 with 1 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}}]},{\"cell_type\":\"markdown\",\"metadata\":{\"tags\":[\"pdf-inline\"],\"id\":\"4aJQok-gGIVq\"},\"source\":[\"**Inline Question 1** \\n\",\"\\n\",\"Notice the structured patterns in the distance matrix, where some rows or columns are visible brighter. (Note that with the default color scheme black indicates low distances while white indicates high distances.)\\n\",\"\\n\",\"- What in the data is the cause behind the distinctly bright rows?\\n\",\"- What causes the columns?\\n\",\"\\n\",\"$\\\\color{blue}{\\\\textit Your Answer:}$ The distinctly bright rows are caused by the data structure itself. Since we are dealing with images (hence, pixel matrices), some of the test ones maybe be “ambiguous”, that is, they contain elements which make them close to all dataset classes (based on the used distance formula). The same thing applies to bright columns.\\n\",\"\\n\"]},{\"cell_type\":\"code\",\"metadata\":{\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"id\":\"4aGbgg3HGIVq\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1616929400518,\"user_tz\":-60,\"elapsed\":951,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"709ee626-7b52-4d51-faac-51ac7c91cff4\"},\"source\":[\"# Now implement the function predict_labels and run the code below:\\n\",\"# We use k = 1 (which is Nearest Neighbor).\\n\",\"y_test_pred = classifier.predict_labels(dists, k=1)\\n\",\"\\n\",\"# Compute and print the fraction of correctly predicted examples\\n\",\"num_correct = np.sum(y_test_pred == y_test)\\n\",\"accuracy = float(num_correct) / num_test\\n\",\"print('Got %d / %d correct => accuracy: %f' % (num_correct, num_test, accuracy))\"],\"execution_count\":9,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Got 137 / 500 correct => accuracy: 0.274000\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"WJATqLc1GIVr\"},\"source\":[\"You should expect to see approximately `27%` accuracy. Now lets try out a larger `k`, say `k = 5`:\"]},{\"cell_type\":\"code\",\"metadata\":{\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"id\":\"HXcPmSycGIVs\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1616929405651,\"user_tz\":-60,\"elapsed\":659,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"dfbd45cc-c013-472e-ad7b-da7db3f25df3\"},\"source\":[\"y_test_pred = classifier.predict_labels(dists, k=5)\\n\",\"num_correct = np.sum(y_test_pred == y_test)\\n\",\"accuracy = float(num_correct) / num_test\\n\",\"print('Got %d / %d correct => accuracy: %f' % (num_correct, num_test, accuracy))\"],\"execution_count\":10,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Got 139 / 500 correct => accuracy: 0.278000\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"EmT6WECnGIVs\"},\"source\":[\"You should expect to see a slightly better performance than with `k = 1`.\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"tags\":[\"pdf-inline\"],\"id\":\"aJpXxzr0GIVt\"},\"source\":[\"**Inline Question 2**\\n\",\"\\n\",\"We can also use other distance metrics such as L1 distance.\\n\",\"For pixel values $p_{ij}^{(k)}$ at location $(i,j)$ of some image $I_k$, \\n\",\"\\n\",\"the mean $\\\\mu$ across all pixels over all images is $$\\\\mu=\\\\frac{1}{nhw}\\\\sum_{k=1}^n\\\\sum_{i=1}^{h}\\\\sum_{j=1}^{w}p_{ij}^{(k)}$$\\n\",\"And the pixel-wise mean $\\\\mu_{ij}$ across all images is \\n\",\"$$\\\\mu_{ij}=\\\\frac{1}{n}\\\\sum_{k=1}^np_{ij}^{(k)}.$$\\n\",\"The general standard deviation $\\\\sigma$ and pixel-wise standard deviation $\\\\sigma_{ij}$ is defined similarly.\\n\",\"\\n\",\"Which of the following preprocessing steps will not change the performance of a Nearest Neighbor classifier that uses L1 distance? Select all that apply.\\n\",\"1. Subtracting the mean $\\\\mu$ ($\\\\tilde{p}_{ij}^{(k)}=p_{ij}^{(k)}-\\\\mu$.)\\n\",\"2. Subtracting the per pixel mean $\\\\mu_{ij}$  ($\\\\tilde{p}_{ij}^{(k)}=p_{ij}^{(k)}-\\\\mu_{ij}$.)\\n\",\"3. Subtracting the mean $\\\\mu$ and dividing by the standard deviation $\\\\sigma$.\\n\",\"4. Subtracting the pixel-wise mean $\\\\mu_{ij}$ and dividing by the pixel-wise standard deviation $\\\\sigma_{ij}$.\\n\",\"5. Rotating the coordinate axes of the data.\\n\",\"\\n\",\"$\\\\color{blue}{\\\\textit Your Answer:}$ I suppose that these preprocessing techniques concern all dataset images (and not, only some of them).\\n\",\"\\n\",\"Preprocessing that will not change the performance of the kNN classifier that uses L1 distance are: 1, 2, and 5.\\n\",\"\\n\",\"$\\\\color{blue}{\\\\textit Your Explanation:}$\\n\",\"\\n\",\"- Since preprocessing are applied to all images, subtracting either “the mean” (statement 1) or “the per pixel mean” (statement 2) won’t affect the L1 distance equation. This is due to the fact that the same value is substituted for each pixel in the same position in both images (for those who the L1 distance in computed).\\n\",\"\\n\",\"- Dividing pixel values by the standard deviation, after subtracting “the mean” (statement 3) or “the per pixel mean” (statement 4), will most probably have an effect on the L1 distance values, and hence, on kNN performance. This is due to fact that pixels will be divided by different values (since the standard deviation is different from one image to another).\\n\",\"\\n\",\"- Rotating the coordinate axes of the data (statement 5) also won’t change the L1 distance, since the latter computes the difference between pixel values in the same position. So, pixel position is preserved by rotating all images in the same direction.\\n\"]},{\"cell_type\":\"code\",\"metadata\":{\"tags\":[\"pdf-ignore-input\"],\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"id\":\"PoJJbPTVGIVt\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1616929446199,\"user_tz\":-60,\"elapsed\":34562,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"605ed5bd-0ec2-4300-b271-6b505f3d666f\"},\"source\":[\"# Now lets speed up distance matrix computation by using partial vectorization\\n\",\"# with one loop. Implement the function compute_distances_one_loop and run the\\n\",\"# code below:\\n\",\"dists_one = classifier.compute_distances_one_loop(X_test)\\n\",\"\\n\",\"# To ensure that our vectorized implementation is correct, we make sure that it\\n\",\"# agrees with the naive implementation. There are many ways to decide whether\\n\",\"# two matrices are similar; one of the simplest is the Frobenius norm. In case\\n\",\"# you haven't seen it before, the Frobenius norm of two matrices is the square\\n\",\"# root of the squared sum of differences of all elements; in other words, reshape\\n\",\"# the matrices into vectors and compute the Euclidean distance between them.\\n\",\"difference = np.linalg.norm(dists - dists_one, ord='fro')\\n\",\"print('One loop difference was: %f' % (difference, ))\\n\",\"if difference < 0.001:\\n\",\"    print('Good! The distance matrices are the same')\\n\",\"else:\\n\",\"    print('Uh-oh! The distance matrices are different')\"],\"execution_count\":11,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"One loop difference was: 0.000000\\n\",\"Good! The distance matrices are the same\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"code\",\"metadata\":{\"scrolled\":true,\"tags\":[\"pdf-ignore-input\"],\"id\":\"Kj-8mMu0GIVu\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1616929464968,\"user_tz\":-60,\"elapsed\":1927,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"49002e88-884b-48db-df8d-214c6a287f26\"},\"source\":[\"# Now implement the fully vectorized version inside compute_distances_no_loops\\n\",\"# and run the code\\n\",\"dists_two = classifier.compute_distances_no_loops(X_test)\\n\",\"\\n\",\"# check that the distance matrix agrees with the one we computed before:\\n\",\"difference = np.linalg.norm(dists - dists_two, ord='fro')\\n\",\"print('No loop difference was: %f' % (difference, ))\\n\",\"if difference < 0.001:\\n\",\"    print('Good! The distance matrices are the same')\\n\",\"else:\\n\",\"    print('Uh-oh! The distance matrices are different')\"],\"execution_count\":12,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"No loop difference was: 0.000000\\n\",\"Good! The distance matrices are the same\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"no_loop\",\"tags\":[\"pdf-ignore-input\"],\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1616929542602,\"user_tz\":-60,\"elapsed\":73707,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"bcb6fb7e-04c2-4ca9-938d-6cae05106c54\"},\"source\":[\"# Let's compare how fast the implementations are\\n\",\"def time_function(f, *args):\\n\",\"    \\\"\\\"\\\"\\n\",\"    Call a function f with args and return the time (in seconds) that it took to execute.\\n\",\"    \\\"\\\"\\\"\\n\",\"    import time\\n\",\"    tic = time.time()\\n\",\"    f(*args)\\n\",\"    toc = time.time()\\n\",\"    return toc - tic\\n\",\"\\n\",\"two_loop_time = time_function(classifier.compute_distances_two_loops, X_test)\\n\",\"print('Two loop version took %f seconds' % two_loop_time)\\n\",\"\\n\",\"one_loop_time = time_function(classifier.compute_distances_one_loop, X_test)\\n\",\"print('One loop version took %f seconds' % one_loop_time)\\n\",\"\\n\",\"no_loop_time = time_function(classifier.compute_distances_no_loops, X_test)\\n\",\"print('No loop version took %f seconds' % no_loop_time)\\n\",\"\\n\",\"# You should see significantly faster performance with the fully vectorized implementation!\\n\",\"\\n\",\"# NOTE: depending on what machine you're using, \\n\",\"# you might not see a speedup when you go from two loops to one loop, \\n\",\"# and might even see a slow-down.\"],\"execution_count\":13,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Two loop version took 38.968158 seconds\\n\",\"One loop version took 33.640804 seconds\\n\",\"No loop version took 0.511983 seconds\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"rPSLs_NfGIVv\"},\"source\":[\"### Cross-validation\\n\",\"\\n\",\"We have implemented the k-Nearest Neighbor classifier but we set the value k = 5 arbitrarily. We will now determine the best value of this hyperparameter with cross-validation.\"]},{\"cell_type\":\"code\",\"metadata\":{\"tags\":[\"code\"],\"id\":\"AakEU3ShGIVv\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1611248968978,\"user_tz\":-60,\"elapsed\":59080,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"391e4953-529f-453c-8361-dcc3a2d0ef69\"},\"source\":[\"num_folds = 5\\n\",\"k_choices = [1, 3, 5, 8, 10, 12, 15, 20, 50, 100]\\n\",\"\\n\",\"X_train_folds = []\\n\",\"y_train_folds = []\\n\",\"################################################################################\\n\",\"# TODO:                                                                        #\\n\",\"# Split up the training data into folds. After splitting, X_train_folds and    #\\n\",\"# y_train_folds should each be lists of length num_folds, where                #\\n\",\"# y_train_folds[i] is the label vector for the points in X_train_folds[i].     #\\n\",\"# Hint: Look up the numpy array_split function.                                #\\n\",\"################################################################################\\n\",\"# *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\\n\",\"\\n\",\"X_train_folds = np.array_split(X_train, num_folds)\\n\",\"y_train_folds = np.array_split(y_train, num_folds)\\n\",\"\\n\",\"# *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\\n\",\"\\n\",\"# A dictionary holding the accuracies for different values of k that we find\\n\",\"# when running cross-validation. After running cross-validation,\\n\",\"# k_to_accuracies[k] should be a list of length num_folds giving the different\\n\",\"# accuracy values that we found when using that value of k.\\n\",\"k_to_accuracies = {}\\n\",\"\\n\",\"\\n\",\"################################################################################\\n\",\"# TODO:                                                                        #\\n\",\"# Perform k-fold cross validation to find the best value of k. For each        #\\n\",\"# possible value of k, run the k-nearest-neighbor algorithm num_folds times,   #\\n\",\"# where in each case you use all but one of the folds as training data and the #\\n\",\"# last fold as a validation set. Store the accuracies for all fold and all     #\\n\",\"# values of k in the k_to_accuracies dictionary.                               #\\n\",\"################################################################################\\n\",\"# *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\\n\",\"\\n\",\"for k in k_choices:\\n\",\"  k_to_accuracies[k] = []\\n\",\"\\n\",\"  # Test-fold index changes over iterations\\n\",\"  for test_idx in range(num_folds): \\n\",\"    X_test_cross = X_train_folds[test_idx]\\n\",\"    y_test_cross = y_train_folds[test_idx]\\n\",\"\\n\",\"    # Merge all 'X' train folds into one part which didn't contain the current\\n\",\"    # test fold.\\n\",\"    X_train_cross = [x for i, x in enumerate(X_train_folds) if i != test_idx]\\n\",\"    X_train_cross = np.concatenate(X_train_cross)\\n\",\"\\n\",\"    # Merge all 'y' train folds into one part which didn't contain the current\\n\",\"    # test fold.\\n\",\"    y_train_cross = [x for i, x in enumerate(y_train_folds) if i != test_idx]\\n\",\"    y_train_cross = np.concatenate(y_train_cross)\\n\",\"\\n\",\"    classifier.train(X_train_cross, y_train_cross)\\n\",\"\\n\",\"    dists = classifier.compute_distances_no_loops(X_test_cross)\\n\",\"\\n\",\"    y_test_pred = classifier.predict_labels(dists, k)\\n\",\"    num_correct = np.sum(y_test_pred == y_test_cross)\\n\",\"    accuracy = float(num_correct) / num_test\\n\",\"\\n\",\"    k_to_accuracies[k].append(accuracy)\\n\",\"\\n\",\"# *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\\n\",\"\\n\",\"# Print out the computed accuracies\\n\",\"for k in sorted(k_to_accuracies):\\n\",\"    for accuracy in k_to_accuracies[k]:\\n\",\"        print('k = %d, accuracy = %f' % (k, accuracy))\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"k = 1, accuracy = 0.526000\\n\",\"k = 1, accuracy = 0.514000\\n\",\"k = 1, accuracy = 0.528000\\n\",\"k = 1, accuracy = 0.556000\\n\",\"k = 1, accuracy = 0.532000\\n\",\"k = 3, accuracy = 0.478000\\n\",\"k = 3, accuracy = 0.498000\\n\",\"k = 3, accuracy = 0.480000\\n\",\"k = 3, accuracy = 0.532000\\n\",\"k = 3, accuracy = 0.508000\\n\",\"k = 5, accuracy = 0.496000\\n\",\"k = 5, accuracy = 0.532000\\n\",\"k = 5, accuracy = 0.560000\\n\",\"k = 5, accuracy = 0.584000\\n\",\"k = 5, accuracy = 0.560000\\n\",\"k = 8, accuracy = 0.524000\\n\",\"k = 8, accuracy = 0.564000\\n\",\"k = 8, accuracy = 0.546000\\n\",\"k = 8, accuracy = 0.580000\\n\",\"k = 8, accuracy = 0.546000\\n\",\"k = 10, accuracy = 0.530000\\n\",\"k = 10, accuracy = 0.592000\\n\",\"k = 10, accuracy = 0.552000\\n\",\"k = 10, accuracy = 0.568000\\n\",\"k = 10, accuracy = 0.560000\\n\",\"k = 12, accuracy = 0.520000\\n\",\"k = 12, accuracy = 0.590000\\n\",\"k = 12, accuracy = 0.558000\\n\",\"k = 12, accuracy = 0.566000\\n\",\"k = 12, accuracy = 0.560000\\n\",\"k = 15, accuracy = 0.504000\\n\",\"k = 15, accuracy = 0.578000\\n\",\"k = 15, accuracy = 0.556000\\n\",\"k = 15, accuracy = 0.564000\\n\",\"k = 15, accuracy = 0.548000\\n\",\"k = 20, accuracy = 0.540000\\n\",\"k = 20, accuracy = 0.558000\\n\",\"k = 20, accuracy = 0.558000\\n\",\"k = 20, accuracy = 0.564000\\n\",\"k = 20, accuracy = 0.570000\\n\",\"k = 50, accuracy = 0.542000\\n\",\"k = 50, accuracy = 0.576000\\n\",\"k = 50, accuracy = 0.556000\\n\",\"k = 50, accuracy = 0.538000\\n\",\"k = 50, accuracy = 0.532000\\n\",\"k = 100, accuracy = 0.512000\\n\",\"k = 100, accuracy = 0.540000\\n\",\"k = 100, accuracy = 0.526000\\n\",\"k = 100, accuracy = 0.512000\\n\",\"k = 100, accuracy = 0.526000\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"code\",\"metadata\":{\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"id\":\"__b92dd-hxTq\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1611249064405,\"user_tz\":-60,\"elapsed\":1303,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"d96f5620-d883-42d8-d126-3fdf84ae28f9\"},\"source\":[\"# Cell added by me, to choose the best K value.\\n\",\"best_k = k_choices[0]\\n\",\"best_accuracy = 0\\n\",\"\\n\",\"for k in sorted(k_to_accuracies):\\n\",\"    sum_cross = 0\\n\",\"    for accuracy in k_to_accuracies[k]:\\n\",\"        sum_cross += accuracy\\n\",\"\\n\",\"    average_accuracy = sum_cross / num_folds\\n\",\"\\n\",\"    if average_accuracy > best_accuracy:\\n\",\"      best_k = k\\n\",\"      best_accuracy = average_accuracy\\n\",\"\\n\",\"print('Best value for k is %d (accuracy = %f)' % (best_k, best_accuracy))\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Best value for k is 10 (accuracy = 0.560400)\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"code\",\"metadata\":{\"tags\":[\"pdf-ignore-input\"],\"id\":\"RLzB9z9yGIVw\",\"colab\":{\"base_uri\":\"https://localhost:8080/\",\"height\":513},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1611249069925,\"user_tz\":-60,\"elapsed\":1553,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"103b166d-9d0b-40b9-d975-2421d384fe8c\"},\"source\":[\"# plot the raw observations\\n\",\"for k in k_choices:\\n\",\"    accuracies = k_to_accuracies[k]\\n\",\"    plt.scatter([k] * len(accuracies), accuracies)\\n\",\"\\n\",\"# plot the trend line with error bars that correspond to standard deviation\\n\",\"accuracies_mean = np.array([np.mean(v) for k,v in sorted(k_to_accuracies.items())])\\n\",\"accuracies_std = np.array([np.std(v) for k,v in sorted(k_to_accuracies.items())])\\n\",\"plt.errorbar(k_choices, accuracies_mean, yerr=accuracies_std)\\n\",\"plt.title('Cross-validation on k')\\n\",\"plt.xlabel('k')\\n\",\"plt.ylabel('Cross-validation accuracy')\\n\",\"plt.show()\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 720x576 with 1 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}}]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"cross_validation\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1611249103249,\"user_tz\":-60,\"elapsed\":2080,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"4aa3adff-4b96-41f1-e390-3d2278d465a7\"},\"source\":[\"# Based on the cross-validation results above, choose the best value for k,   \\n\",\"# retrain the classifier using all the training data, and test it on the test\\n\",\"# data. You should be able to get above 28% accuracy on the test data.\\n\",\"best_k = 10 # Modified value by me.\\n\",\"\\n\",\"classifier = KNearestNeighbor()\\n\",\"classifier.train(X_train, y_train)\\n\",\"y_test_pred = classifier.predict(X_test, k=best_k)\\n\",\"\\n\",\"# Compute and display the accuracy\\n\",\"num_correct = np.sum(y_test_pred == y_test)\\n\",\"accuracy = float(num_correct) / num_test\\n\",\"print('Got %d / %d correct => accuracy: %f' % (num_correct, num_test, accuracy))\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Got 141 / 500 correct => accuracy: 0.282000\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"tags\":[\"pdf-inline\"],\"id\":\"2WB0ZNGYGIVw\"},\"source\":[\"**Inline Question 3**\\n\",\"\\n\",\"Which of the following statements about $k$-Nearest Neighbor ($k$-NN) are true in a classification setting, and for all $k$? Select all that apply.\\n\",\"1. The decision boundary of the k-NN classifier is linear.\\n\",\"2. The training error of a 1-NN will always be lower than that of 5-NN.\\n\",\"3. The test error of a 1-NN will always be lower than that of a 5-NN.\\n\",\"4. The time needed to classify a test example with the k-NN classifier grows with the size of the training set.\\n\",\"5. None of the above.\\n\",\"\\n\",\"$\\\\color{blue}{\\\\textit Your Answer:}$ Statement that is true about kNN setting is: 4 (classification time is related to the training set).\\n\",\"\\n\",\"\\n\",\"$\\\\color{blue}{\\\\textit Your Explanation:}$\\n\",\"\\n\",\"- For the statement 1: Basing on its definition, the training procedure of a kNN classifier consists on saving the training set samples. So, it’s clear that we can’t talk about a “linear classifier”.\\n\",\"\\n\",\"- For the statement 2 and 3: The K value is an hyperparameter, hence, it depends on the problem nature (so, in this case, the dataset) itself. Raising the K value won’t guarantee getting a high accuracy and/or low error on the train/test set.\\n\",\"\\n\",\"- For the statement 4: In order to classify a test image, kNN have to compute the distances between this image and all the training images (and after that, making a vote based on top-K distance image labels). So, the time needed to compute all the distances depends on the of training set.\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"Ys-Ag9_oGIVw\"},\"source\":[\"---\\n\",\"# IMPORTANT\\n\",\"\\n\",\"This is the end of this question. Please do the following:\\n\",\"\\n\",\"1. Click `File -> Save` to make sure the latest checkpoint of this notebook is saved to your Drive.\\n\",\"2. Execute the cell below to download the modified `.py` files back to your drive.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"eYSUABI-GIVx\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1616929573800,\"user_tz\":-60,\"elapsed\":682,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}}},\"source\":[\"import os\\n\",\"\\n\",\"FOLDER_TO_SAVE = os.path.join('drive/My Drive/', FOLDERNAME)\\n\",\"FILES_TO_SAVE = ['cs231n/classifiers/k_nearest_neighbor.py']\\n\",\"\\n\",\"for files in FILES_TO_SAVE:\\n\",\"  with open(os.path.join(FOLDER_TO_SAVE, '/'.join(files.split('/')[1:])), 'w') as f:\\n\",\"    f.write(''.join(open(files).readlines()))\"],\"execution_count\":14,\"outputs\":[]}]}"
  },
  {
    "path": "cs231n/assignment1/requirements.txt",
    "content": "attrs==19.1.0\nbackcall==0.1.0\nbleach==3.1.0\ncertifi==2019.3.9\nchardet==3.0.4\ncolorama==0.4.1\ncycler==0.10.0\ndecorator==4.4.0\ndefusedxml==0.5.0\nentrypoints==0.3\nfuture==0.17.1\ngitdb2==2.0.5\nGitPython==2.1.11\nidna==2.8\nipykernel==5.1.0\nipython==7.4.0\nipython-genutils==0.2.0\nipywidgets==7.4.2\nimageio==2.8.0\njedi==0.13.3\nJinja2==2.10\njsonschema==3.0.1\njupyter==1.0.0\njupyter-client==5.2.4\njupyter-console==6.0.0\njupyter-core==4.4.0\njupyterlab==0.35.4\njupyterlab-server==0.2.0\nkiwisolver==1.0.1\nMarkupSafe==1.1.1\nmatplotlib==3.0.3\nmistune==0.8.4\nnbconvert==5.4.1\nnbdime==1.0.5\nnbformat==4.4.0\nnotebook==5.7.8\nnumpy==1.16.2\npandocfilters==1.4.2\nparso==0.3.4\npexpect==4.6.0\npickleshare==0.7.5\nPillow==6.0.0\nprometheus-client==0.6.0\nprompt-toolkit==2.0.9\nptyprocess==0.6.0\nPygments==2.3.1\npyparsing==2.3.1\npyrsistent==0.14.11\npython-dateutil==2.8.0\npyzmq==18.0.1\nqtconsole==4.4.3\nrequests==2.21.0\nscipy==1.2.1\nSend2Trash==1.5.0\nsix==1.12.0\nsmmap2==2.0.5\nterminado==0.8.2\ntestpath==0.4.2\ntornado==6.0.2\ntraitlets==4.3.2\nurllib3==1.24.1\nwcwidth==0.1.7\nwebencodings==0.5.1\nwidgetsnbextension==3.4.2\n"
  },
  {
    "path": "cs231n/assignment1/softmax.ipynb",
    "content": "{\"nbformat\":4,\"nbformat_minor\":0,\"metadata\":{\"colab\":{\"name\":\"softmax.ipynb\",\"provenance\":[],\"collapsed_sections\":[],\"toc_visible\":true},\"kernelspec\":{\"name\":\"python3\",\"display_name\":\"Python 3\"}},\"cells\":[{\"cell_type\":\"code\",\"metadata\":{\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"id\":\"Wn23ESPrECJL\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1611324210339,\"user_tz\":-60,\"elapsed\":25117,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"48f13ec0-6c25-4ce7-8090-693b62df3062\"},\"source\":[\"from google.colab import drive\\n\",\"\\n\",\"drive.mount('/content/drive', force_remount=True)\\n\",\"\\n\",\"# enter the foldername in your Drive where you have saved the unzipped\\n\",\"# 'cs231n' folder containing the '.py', 'classifiers' and 'datasets'\\n\",\"# folders.\\n\",\"# e.g. 'cs231n/assignments/assignment1/cs231n/'\\n\",\"FOLDERNAME = 'cs231n/assignments/assignment1/cs231n/'\\n\",\"\\n\",\"assert FOLDERNAME is not None, \\\"[!] Enter the foldername.\\\"\\n\",\"\\n\",\"%cd drive/My\\\\ Drive\\n\",\"%cp -r $FOLDERNAME ../../\\n\",\"%cd ../../\\n\",\"%cd cs231n/datasets/\\n\",\"!bash get_datasets.sh\\n\",\"%cd ../../\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Mounted at /content/drive\\n\",\"/content/drive/My Drive\\n\",\"/content\\n\",\"/content/cs231n/datasets\\n\",\"--2021-01-22 14:03:23--  http://www.cs.toronto.edu/~kriz/cifar-10-python.tar.gz\\n\",\"Resolving www.cs.toronto.edu (www.cs.toronto.edu)... 128.100.3.30\\n\",\"Connecting to www.cs.toronto.edu (www.cs.toronto.edu)|128.100.3.30|:80... connected.\\n\",\"HTTP request sent, awaiting response... 200 OK\\n\",\"Length: 170498071 (163M) [application/x-gzip]\\n\",\"Saving to: ‘cifar-10-python.tar.gz’\\n\",\"\\n\",\"cifar-10-python.tar 100%[===================>] 162.60M  69.1MB/s    in 2.4s    \\n\",\"\\n\",\"2021-01-22 14:03:25 (69.1 MB/s) - ‘cifar-10-python.tar.gz’ saved [170498071/170498071]\\n\",\"\\n\",\"cifar-10-batches-py/\\n\",\"cifar-10-batches-py/data_batch_4\\n\",\"cifar-10-batches-py/readme.html\\n\",\"cifar-10-batches-py/test_batch\\n\",\"cifar-10-batches-py/data_batch_3\\n\",\"cifar-10-batches-py/batches.meta\\n\",\"cifar-10-batches-py/data_batch_2\\n\",\"cifar-10-batches-py/data_batch_5\\n\",\"cifar-10-batches-py/data_batch_1\\n\",\"/content\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"tags\":[\"pdf-title\"],\"id\":\"EeM4R9xBECJT\"},\"source\":[\"# Softmax exercise\\n\",\"\\n\",\"*Complete and hand in this completed worksheet (including its outputs and any supporting code outside of the worksheet) with your assignment submission. For more details see the [assignments page](http://vision.stanford.edu/teaching/cs231n/assignments.html) on the course website.*\\n\",\"\\n\",\"This exercise is analogous to the SVM exercise. You will:\\n\",\"\\n\",\"- implement a fully-vectorized **loss function** for the Softmax classifier\\n\",\"- implement the fully-vectorized expression for its **analytic gradient**\\n\",\"- **check your implementation** with numerical gradient\\n\",\"- use a validation set to **tune the learning rate and regularization** strength\\n\",\"- **optimize** the loss function with **SGD**\\n\",\"- **visualize** the final learned weights\\n\"]},{\"cell_type\":\"code\",\"metadata\":{\"tags\":[\"pdf-ignore\"],\"id\":\"SK6UB4Q_ECJU\"},\"source\":[\"import random\\n\",\"import numpy as np\\n\",\"from cs231n.data_utils import load_CIFAR10\\n\",\"import matplotlib.pyplot as plt\\n\",\"\\n\",\"%matplotlib inline\\n\",\"plt.rcParams['figure.figsize'] = (10.0, 8.0) # set default size of plots\\n\",\"plt.rcParams['image.interpolation'] = 'nearest'\\n\",\"plt.rcParams['image.cmap'] = 'gray'\\n\",\"\\n\",\"# for auto-reloading extenrnal modules\\n\",\"# see http://stackoverflow.com/questions/1907993/autoreload-of-modules-in-ipython\\n\",\"%load_ext autoreload\\n\",\"%autoreload 2\"],\"execution_count\":null,\"outputs\":[]},{\"cell_type\":\"code\",\"metadata\":{\"tags\":[\"pdf-ignore\"],\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"id\":\"qTgSBas-ECJU\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1611324274582,\"user_tz\":-60,\"elapsed\":4146,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"cfa0fc95-c2f3-434d-fce4-5a387a6a129a\"},\"source\":[\"def get_CIFAR10_data(num_training=49000, num_validation=1000, num_test=1000, num_dev=500):\\n\",\"    \\\"\\\"\\\"\\n\",\"    Load the CIFAR-10 dataset from disk and perform preprocessing to prepare\\n\",\"    it for the linear classifier. These are the same steps as we used for the\\n\",\"    SVM, but condensed to a single function.  \\n\",\"    \\\"\\\"\\\"\\n\",\"    # Load the raw CIFAR-10 data\\n\",\"    cifar10_dir = 'cs231n/datasets/cifar-10-batches-py'\\n\",\"    \\n\",\"    # Cleaning up variables to prevent loading data multiple times (which may cause memory issue)\\n\",\"    try:\\n\",\"       del X_train, y_train\\n\",\"       del X_test, y_test\\n\",\"       print('Clear previously loaded data.')\\n\",\"    except:\\n\",\"       pass\\n\",\"\\n\",\"    X_train, y_train, X_test, y_test = load_CIFAR10(cifar10_dir)\\n\",\"    \\n\",\"    # subsample the data\\n\",\"    mask = list(range(num_training, num_training + num_validation))\\n\",\"    X_val = X_train[mask]\\n\",\"    y_val = y_train[mask]\\n\",\"    mask = list(range(num_training))\\n\",\"    X_train = X_train[mask]\\n\",\"    y_train = y_train[mask]\\n\",\"    mask = list(range(num_test))\\n\",\"    X_test = X_test[mask]\\n\",\"    y_test = y_test[mask]\\n\",\"    mask = np.random.choice(num_training, num_dev, replace=False)\\n\",\"    X_dev = X_train[mask]\\n\",\"    y_dev = y_train[mask]\\n\",\"    \\n\",\"    # Preprocessing: reshape the image data into rows\\n\",\"    X_train = np.reshape(X_train, (X_train.shape[0], -1))\\n\",\"    X_val = np.reshape(X_val, (X_val.shape[0], -1))\\n\",\"    X_test = np.reshape(X_test, (X_test.shape[0], -1))\\n\",\"    X_dev = np.reshape(X_dev, (X_dev.shape[0], -1))\\n\",\"    \\n\",\"    # Normalize the data: subtract the mean image\\n\",\"    mean_image = np.mean(X_train, axis = 0)\\n\",\"    X_train -= mean_image\\n\",\"    X_val -= mean_image\\n\",\"    X_test -= mean_image\\n\",\"    X_dev -= mean_image\\n\",\"    \\n\",\"    # add bias dimension and transform into columns\\n\",\"    X_train = np.hstack([X_train, np.ones((X_train.shape[0], 1))])\\n\",\"    X_val = np.hstack([X_val, np.ones((X_val.shape[0], 1))])\\n\",\"    X_test = np.hstack([X_test, np.ones((X_test.shape[0], 1))])\\n\",\"    X_dev = np.hstack([X_dev, np.ones((X_dev.shape[0], 1))])\\n\",\"    \\n\",\"    return X_train, y_train, X_val, y_val, X_test, y_test, X_dev, y_dev\\n\",\"\\n\",\"\\n\",\"# Invoke the above function to get our data.\\n\",\"X_train, y_train, X_val, y_val, X_test, y_test, X_dev, y_dev = get_CIFAR10_data()\\n\",\"print('Train data shape: ', X_train.shape)\\n\",\"print('Train labels shape: ', y_train.shape)\\n\",\"print('Validation data shape: ', X_val.shape)\\n\",\"print('Validation labels shape: ', y_val.shape)\\n\",\"print('Test data shape: ', X_test.shape)\\n\",\"print('Test labels shape: ', y_test.shape)\\n\",\"print('dev data shape: ', X_dev.shape)\\n\",\"print('dev labels shape: ', y_dev.shape)\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Train data shape:  (49000, 3073)\\n\",\"Train labels shape:  (49000,)\\n\",\"Validation data shape:  (1000, 3073)\\n\",\"Validation labels shape:  (1000,)\\n\",\"Test data shape:  (1000, 3073)\\n\",\"Test labels shape:  (1000,)\\n\",\"dev data shape:  (500, 3073)\\n\",\"dev labels shape:  (500,)\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"B9XBkJ3YECJW\"},\"source\":[\"## Softmax Classifier\\n\",\"\\n\",\"Your code for this section will all be written inside `cs231n/classifiers/softmax.py`.\\n\"]},{\"cell_type\":\"code\",\"metadata\":{\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"id\":\"LDy4xf2DECJW\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1611324441565,\"user_tz\":-60,\"elapsed\":1118,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"98e1c28a-76d5-47aa-f94d-33ac15ba2810\"},\"source\":[\"# First implement the naive softmax loss function with nested loops.\\n\",\"# Open the file cs231n/classifiers/softmax.py and implement the\\n\",\"# softmax_loss_naive function.\\n\",\"\\n\",\"from cs231n.classifiers.softmax import softmax_loss_naive\\n\",\"import time\\n\",\"\\n\",\"# Generate a random softmax weight matrix and use it to compute the loss.\\n\",\"W = np.random.randn(3073, 10) * 0.0001\\n\",\"loss, grad = softmax_loss_naive(W, X_dev, y_dev, 0.0)\\n\",\"\\n\",\"# As a rough sanity check, our loss should be something close to -log(0.1).\\n\",\"print('loss: %f' % loss)\\n\",\"print('sanity check: %f' % (-np.log(0.1)))\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"loss: 2.322750\\n\",\"sanity check: 2.302585\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"tags\":[\"pdf-inline\"],\"id\":\"vLgazbi1ECJX\"},\"source\":[\"**Inline Question 1**\\n\",\"\\n\",\"Why do we expect our loss to be close to -log(0.1)? Explain briefly.**\\n\",\"\\n\",\"$\\\\color{blue}{\\\\textit Your Answer:}$ In the data preprocessing, **X_dev** is normalized (*mean* ≈ 0, *std* ≈ 1). So, the multiplication between **X_dev** and **W** will result in a matrix with values (*val*) relatively close to each other. With the number of classes $C=10$, we'll get: $\\\\frac{e^{val}}{C * e^{val}} = \\\\frac{e^{val}}{10 * e^{val}} ≈ 0.1$ [Denominator values are close to each other, so we can directly multiply by $C$, instead of summing them] (for every single **X_dev** sample, which will be divided by N, so, the final result will be also close to **0.1**). And by applying the softmax loss function, we'll get: **-log(0.1)**.\"]},{\"cell_type\":\"code\",\"metadata\":{\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"id\":\"w8v0xlyTECJX\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1611324450104,\"user_tz\":-60,\"elapsed\":6411,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"8e5ea4bc-db58-447c-df35-4468e7b8afa6\"},\"source\":[\"# Complete the implementation of softmax_loss_naive and implement a (naive)\\n\",\"# version of the gradient that uses nested loops.\\n\",\"loss, grad = softmax_loss_naive(W, X_dev, y_dev, 0.0)\\n\",\"\\n\",\"# As we did for the SVM, use numeric gradient checking as a debugging tool.\\n\",\"# The numeric gradient should be close to the analytic gradient.\\n\",\"from cs231n.gradient_check import grad_check_sparse\\n\",\"f = lambda w: softmax_loss_naive(w, X_dev, y_dev, 0.0)[0]\\n\",\"grad_numerical = grad_check_sparse(f, W, grad, 10)\\n\",\"\\n\",\"# similar to SVM case, do another gradient check with regularization\\n\",\"loss, grad = softmax_loss_naive(W, X_dev, y_dev, 5e1)\\n\",\"f = lambda w: softmax_loss_naive(w, X_dev, y_dev, 5e1)[0]\\n\",\"grad_numerical = grad_check_sparse(f, W, grad, 10)\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"numerical: -2.405989 analytic: -2.405989, relative error: 8.762001e-09\\n\",\"numerical: -1.554251 analytic: -1.554251, relative error: 5.237692e-08\\n\",\"numerical: 0.098306 analytic: 0.098306, relative error: 3.893297e-07\\n\",\"numerical: 0.097479 analytic: 0.097479, relative error: 5.392960e-08\\n\",\"numerical: -0.207212 analytic: -0.207212, relative error: 1.097736e-07\\n\",\"numerical: -0.029221 analytic: -0.029221, relative error: 3.005833e-06\\n\",\"numerical: 1.595536 analytic: 1.595536, relative error: 2.211457e-08\\n\",\"numerical: -1.093525 analytic: -1.093525, relative error: 2.311254e-08\\n\",\"numerical: 0.757587 analytic: 0.757587, relative error: 5.062852e-08\\n\",\"numerical: -1.507960 analytic: -1.507960, relative error: 1.564765e-08\\n\",\"numerical: -0.487731 analytic: -0.487731, relative error: 9.720138e-08\\n\",\"numerical: -1.770322 analytic: -1.770322, relative error: 4.287101e-08\\n\",\"numerical: 2.332688 analytic: 2.332688, relative error: 9.362696e-09\\n\",\"numerical: 2.570502 analytic: 2.570502, relative error: 4.806156e-09\\n\",\"numerical: -5.324541 analytic: -5.324542, relative error: 8.506626e-09\\n\",\"numerical: 0.306370 analytic: 0.306370, relative error: 2.915036e-07\\n\",\"numerical: -2.795721 analytic: -2.795721, relative error: 2.812300e-08\\n\",\"numerical: -0.589289 analytic: -0.589289, relative error: 1.039900e-08\\n\",\"numerical: 0.069590 analytic: 0.069590, relative error: 6.788522e-07\\n\",\"numerical: 2.587821 analytic: 2.587821, relative error: 1.049984e-08\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"code\",\"metadata\":{\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"id\":\"ZEhAB4ynECJX\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1611324455899,\"user_tz\":-60,\"elapsed\":680,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"c332108f-542d-4d1a-b54b-45781bf9a45b\"},\"source\":[\"# Now that we have a naive implementation of the softmax loss function and its gradient,\\n\",\"# implement a vectorized version in softmax_loss_vectorized.\\n\",\"# The two versions should compute the same results, but the vectorized version should be\\n\",\"# much faster.\\n\",\"tic = time.time()\\n\",\"loss_naive, grad_naive = softmax_loss_naive(W, X_dev, y_dev, 0.000005)\\n\",\"toc = time.time()\\n\",\"print('naive loss: %e computed in %fs' % (loss_naive, toc - tic))\\n\",\"\\n\",\"from cs231n.classifiers.softmax import softmax_loss_vectorized\\n\",\"tic = time.time()\\n\",\"loss_vectorized, grad_vectorized = softmax_loss_vectorized(W, X_dev, y_dev, 0.000005)\\n\",\"toc = time.time()\\n\",\"print('vectorized loss: %e computed in %fs' % (loss_vectorized, toc - tic))\\n\",\"\\n\",\"# As we did for the SVM, we use the Frobenius norm to compare the two versions\\n\",\"# of the gradient.\\n\",\"grad_difference = np.linalg.norm(grad_naive - grad_vectorized, ord='fro')\\n\",\"print('Loss difference: %f' % np.abs(loss_naive - loss_vectorized))\\n\",\"print('Gradient difference: %f' % grad_difference)\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"naive loss: 2.322750e+00 computed in 0.138603s\\n\",\"vectorized loss: 2.322750e+00 computed in 0.018519s\\n\",\"Loss difference: 0.000000\\n\",\"Gradient difference: 0.000000\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"tuning\",\"tags\":[\"code\"],\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1611324551242,\"user_tz\":-60,\"elapsed\":11516,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"40f0f1ab-0242-498a-b884-5f9ab9e7e9da\"},\"source\":[\"# Use the validation set to tune hyperparameters (regularization strength and\\n\",\"# learning rate). You should experiment with different ranges for the learning\\n\",\"# rates and regularization strengths; if you are careful you should be able to\\n\",\"# get a classification accuracy of over 0.35 on the validation set.\\n\",\"\\n\",\"from cs231n.classifiers import Softmax\\n\",\"results = {}\\n\",\"best_val = -1\\n\",\"best_softmax = None\\n\",\"\\n\",\"################################################################################\\n\",\"# TODO:                                                                        #\\n\",\"# Use the validation set to set the learning rate and regularization strength. #\\n\",\"# This should be identical to the validation that you did for the SVM; save    #\\n\",\"# the best trained softmax classifer in best_softmax.                          #\\n\",\"################################################################################\\n\",\"\\n\",\"# Provided as a reference. You may or may not want to change these hyperparameters\\n\",\"learning_rates = [1e-6] # Modified\\n\",\"regularization_strengths = [5e3] # Modified\\n\",\"\\n\",\"# *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\\n\",\"\\n\",\"for lr in learning_rates:\\n\",\"  for rs in regularization_strengths:\\n\",\"    softmax = Softmax()\\n\",\"    loss_hist = softmax.train(X_train, y_train, learning_rate=lr, reg=rs,\\n\",\"                          num_iters=1500, verbose=False)\\n\",\"\\n\",\"    y_train_pred = softmax.predict(X_train)\\n\",\"    training_accuracy = np.mean(y_train == y_train_pred)\\n\",\"\\n\",\"    y_val_pred = softmax.predict(X_val)\\n\",\"    validation_accuracy = np.mean(y_val == y_val_pred)\\n\",\"\\n\",\"    results[(lr, rs)] = (training_accuracy, validation_accuracy)\\n\",\"\\n\",\"    if validation_accuracy > best_val:\\n\",\"      best_val = validation_accuracy\\n\",\"      best_softmax = softmax\\n\",\"\\n\",\"# *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\\n\",\"    \\n\",\"# Print out results.\\n\",\"for lr, reg in sorted(results):\\n\",\"    train_accuracy, val_accuracy = results[(lr, reg)]\\n\",\"    print('lr %e reg %e train accuracy: %f val accuracy: %f' % (\\n\",\"                lr, reg, train_accuracy, val_accuracy))\\n\",\"    \\n\",\"print('best validation accuracy achieved during cross-validation: %f' % best_val)\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"lr 1.000000e-06 reg 5.000000e+03 train accuracy: 0.374163 val accuracy: 0.385000\\n\",\"best validation accuracy achieved during cross-validation: 0.385000\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"test\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1611324558556,\"user_tz\":-60,\"elapsed\":753,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"21694e4c-d67c-4091-886c-b4d2983018bb\"},\"source\":[\"# evaluate on test set\\n\",\"# Evaluate the best softmax on test set\\n\",\"y_test_pred = best_softmax.predict(X_test)\\n\",\"test_accuracy = np.mean(y_test == y_test_pred)\\n\",\"print('softmax on raw pixels final test set accuracy: %f' % (test_accuracy, ))\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"softmax on raw pixels final test set accuracy: 0.373000\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"tags\":[\"pdf-inline\"],\"id\":\"ipzFgSK-ECJZ\"},\"source\":[\"**Inline Question 2** - *True or False*\\n\",\"\\n\",\"Suppose the overall training loss is defined as the sum of the per-datapoint loss over all training examples. It is possible to add a new datapoint to a training set that would leave the SVM loss unchanged, but this is not the case with the Softmax classifier loss.\\n\",\"\\n\",\"$\\\\color{blue}{\\\\textit Your Answer:}$ No, it is not possible to add a new datapoint to a training set that would leave the “new” SVM loss unchanged.\\n\",\"\\n\",\"$\\\\color{blue}{\\\\textit Your Explanation:}$ The new loss formula, as defined in the question, will be:\\n\",\"\\n\",\"$\\\\sum_{i=0}^{N}-log(\\\\frac{e^{y_{i, correct}}}{\\\\sum_{j=0}^{C}e^{y_{i, j}}})$ , with *N: Size of the training set* and *C: Number of classes*.\\n\",\"\\n\",\"To leave the SVM loss unchanged, the new datapoint must have a null loss, therefore, the inner value of the log function have to be equals to 1 (so, **log(1) = 0**). And the latter is not possible to achieve, because the fraction (inside the log function) result value is bounded by 0 and 1 (strictly, in both sides).\"]},{\"cell_type\":\"code\",\"metadata\":{\"colab\":{\"base_uri\":\"https://localhost:8080/\",\"height\":380},\"id\":\"0Cave-V9ECJZ\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1611324709723,\"user_tz\":-60,\"elapsed\":1447,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"b3c3760a-221b-47e4-d554-eb7b2487a408\"},\"source\":[\"# Visualize the learned weights for each class\\n\",\"w = best_softmax.W[:-1,:] # strip out the bias\\n\",\"w = w.reshape(32, 32, 3, 10)\\n\",\"\\n\",\"w_min, w_max = np.min(w), np.max(w)\\n\",\"\\n\",\"classes = ['plane', 'car', 'bird', 'cat', 'deer', 'dog', 'frog', 'horse', 'ship', 'truck']\\n\",\"for i in range(10):\\n\",\"    plt.subplot(2, 5, i + 1)\\n\",\"    \\n\",\"    # Rescale the weights to be between 0 and 255\\n\",\"    wimg = 255.0 * (w[:, :, :, i].squeeze() - w_min) / (w_max - w_min)\\n\",\"    plt.imshow(wimg.astype('uint8'))\\n\",\"    plt.axis('off')\\n\",\"    plt.title(classes[i])\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 720x576 with 10 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"UXKOoMXKECJa\"},\"source\":[\"---\\n\",\"# IMPORTANT\\n\",\"\\n\",\"This is the end of this question. Please do the following:\\n\",\"\\n\",\"1. Click `File -> Save` to make sure the latest checkpoint of this notebook is saved to your Drive.\\n\",\"2. Execute the cell below to download the modified `.py` files back to your drive.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"LPLFhnQoECJa\"},\"source\":[\"import os\\n\",\"\\n\",\"FOLDER_TO_SAVE = os.path.join('drive/My Drive/', FOLDERNAME)\\n\",\"FILES_TO_SAVE = ['cs231n/classifiers/softmax.py']\\n\",\"\\n\",\"for files in FILES_TO_SAVE:\\n\",\"  with open(os.path.join(FOLDER_TO_SAVE, '/'.join(files.split('/')[1:])), 'w') as f:\\n\",\"    f.write(''.join(open(files).readlines()))\"],\"execution_count\":null,\"outputs\":[]}]}"
  },
  {
    "path": "cs231n/assignment1/svm.ipynb",
    "content": "{\"nbformat\":4,\"nbformat_minor\":0,\"metadata\":{\"colab\":{\"name\":\"svm.ipynb\",\"provenance\":[],\"collapsed_sections\":[]},\"kernelspec\":{\"name\":\"python3\",\"display_name\":\"Python 3\"}},\"cells\":[{\"cell_type\":\"code\",\"metadata\":{\"id\":\"dB0DTFEcrApK\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1611250993482,\"user_tz\":-60,\"elapsed\":28284,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"92264e1c-4a25-40c4-bbf0-e13e45e8cbe5\"},\"source\":[\"from google.colab import drive\\n\",\"\\n\",\"drive.mount('/content/drive', force_remount=True)\\n\",\"\\n\",\"# enter the foldername in your Drive where you have saved the unzipped\\n\",\"# 'cs231n' folder containing the '.py', 'classifiers' and 'datasets'\\n\",\"# folders.\\n\",\"# e.g. 'cs231n/assignments/assignment1/cs231n/'\\n\",\"FOLDERNAME = 'cs231n/assignments/assignment1/cs231n/'\\n\",\"\\n\",\"assert FOLDERNAME is not None, \\\"[!] Enter the foldername.\\\"\\n\",\"\\n\",\"%cd drive/My\\\\ Drive\\n\",\"%cp -r $FOLDERNAME ../../\\n\",\"%cd ../../\\n\",\"%cd cs231n/datasets/\\n\",\"!bash get_datasets.sh\\n\",\"%cd ../../\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Mounted at /content/drive\\n\",\"/content/drive/My Drive\\n\",\"/content\\n\",\"/content/cs231n/datasets\\n\",\"--2021-01-21 17:43:05--  http://www.cs.toronto.edu/~kriz/cifar-10-python.tar.gz\\n\",\"Resolving www.cs.toronto.edu (www.cs.toronto.edu)... 128.100.3.30\\n\",\"Connecting to www.cs.toronto.edu (www.cs.toronto.edu)|128.100.3.30|:80... connected.\\n\",\"HTTP request sent, awaiting response... 200 OK\\n\",\"Length: 170498071 (163M) [application/x-gzip]\\n\",\"Saving to: ‘cifar-10-python.tar.gz’\\n\",\"\\n\",\"cifar-10-python.tar 100%[===================>] 162.60M  44.9MB/s    in 4.1s    \\n\",\"\\n\",\"2021-01-21 17:43:10 (40.1 MB/s) - ‘cifar-10-python.tar.gz’ saved [170498071/170498071]\\n\",\"\\n\",\"cifar-10-batches-py/\\n\",\"cifar-10-batches-py/data_batch_4\\n\",\"cifar-10-batches-py/readme.html\\n\",\"cifar-10-batches-py/test_batch\\n\",\"cifar-10-batches-py/data_batch_3\\n\",\"cifar-10-batches-py/batches.meta\\n\",\"cifar-10-batches-py/data_batch_2\\n\",\"cifar-10-batches-py/data_batch_5\\n\",\"cifar-10-batches-py/data_batch_1\\n\",\"/content\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"tags\":[\"pdf-title\"],\"id\":\"pAWqq9RerApR\"},\"source\":[\"# Multiclass Support Vector Machine exercise\\n\",\"\\n\",\"*Complete and hand in this completed worksheet (including its outputs and any supporting code outside of the worksheet) with your assignment submission. For more details see the [assignments page](http://vision.stanford.edu/teaching/cs231n/assignments.html) on the course website.*\\n\",\"\\n\",\"In this exercise you will:\\n\",\"    \\n\",\"- implement a fully-vectorized **loss function** for the SVM\\n\",\"- implement the fully-vectorized expression for its **analytic gradient**\\n\",\"- **check your implementation** using numerical gradient\\n\",\"- use a validation set to **tune the learning rate and regularization** strength\\n\",\"- **optimize** the loss function with **SGD**\\n\",\"- **visualize** the final learned weights\\n\"]},{\"cell_type\":\"code\",\"metadata\":{\"tags\":[\"pdf-ignore\"],\"id\":\"yfPnLbOxrApS\"},\"source\":[\"# Run some setup code for this notebook.\\n\",\"import random\\n\",\"import numpy as np\\n\",\"from cs231n.data_utils import load_CIFAR10\\n\",\"import matplotlib.pyplot as plt\\n\",\"\\n\",\"# This is a bit of magic to make matplotlib figures appear inline in the\\n\",\"# notebook rather than in a new window.\\n\",\"%matplotlib inline\\n\",\"plt.rcParams['figure.figsize'] = (10.0, 8.0) # set default size of plots\\n\",\"plt.rcParams['image.interpolation'] = 'nearest'\\n\",\"plt.rcParams['image.cmap'] = 'gray'\\n\",\"\\n\",\"# Some more magic so that the notebook will reload external python modules;\\n\",\"# see http://stackoverflow.com/questions/1907993/autoreload-of-modules-in-ipython\\n\",\"%load_ext autoreload\\n\",\"%autoreload 2\"],\"execution_count\":null,\"outputs\":[]},{\"cell_type\":\"markdown\",\"metadata\":{\"tags\":[\"pdf-ignore\"],\"id\":\"vLpK5dGwrApT\"},\"source\":[\"## CIFAR-10 Data Loading and Preprocessing\"]},{\"cell_type\":\"code\",\"metadata\":{\"tags\":[\"pdf-ignore\"],\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"id\":\"pFVXUMuOrApT\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1611251005220,\"user_tz\":-60,\"elapsed\":1958,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"eae89f84-e166-484d-dde7-bcf25b900a7e\"},\"source\":[\"# Load the raw CIFAR-10 data.\\n\",\"cifar10_dir = 'cs231n/datasets/cifar-10-batches-py'\\n\",\"\\n\",\"# Cleaning up variables to prevent loading data multiple times (which may cause memory issue)\\n\",\"try:\\n\",\"   del X_train, y_train\\n\",\"   del X_test, y_test\\n\",\"   print('Clear previously loaded data.')\\n\",\"except:\\n\",\"   pass\\n\",\"\\n\",\"X_train, y_train, X_test, y_test = load_CIFAR10(cifar10_dir)\\n\",\"\\n\",\"# As a sanity check, we print out the size of the training and test data.\\n\",\"print('Training data shape: ', X_train.shape)\\n\",\"print('Training labels shape: ', y_train.shape)\\n\",\"print('Test data shape: ', X_test.shape)\\n\",\"print('Test labels shape: ', y_test.shape)\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Training data shape:  (50000, 32, 32, 3)\\n\",\"Training labels shape:  (50000,)\\n\",\"Test data shape:  (10000, 32, 32, 3)\\n\",\"Test labels shape:  (10000,)\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"code\",\"metadata\":{\"tags\":[\"pdf-ignore\"],\"colab\":{\"base_uri\":\"https://localhost:8080/\",\"height\":475},\"id\":\"AXddpg_irApT\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1611251014588,\"user_tz\":-60,\"elapsed\":3363,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"98cf13d1-f7b2-4aa0-bac8-ddd1a66cf19a\"},\"source\":[\"# Visualize some examples from the dataset.\\n\",\"# We show a few examples of training images from each class.\\n\",\"classes = ['plane', 'car', 'bird', 'cat', 'deer', 'dog', 'frog', 'horse', 'ship', 'truck']\\n\",\"num_classes = len(classes)\\n\",\"samples_per_class = 7\\n\",\"for y, cls in enumerate(classes):\\n\",\"    idxs = np.flatnonzero(y_train == y)\\n\",\"    idxs = np.random.choice(idxs, samples_per_class, replace=False)\\n\",\"    for i, idx in enumerate(idxs):\\n\",\"        plt_idx = i * num_classes + y + 1\\n\",\"        plt.subplot(samples_per_class, num_classes, plt_idx)\\n\",\"        plt.imshow(X_train[idx].astype('uint8'))\\n\",\"        plt.axis('off')\\n\",\"        if i == 0:\\n\",\"            plt.title(cls)\\n\",\"plt.show()\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 720x576 with 70 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}}]},{\"cell_type\":\"code\",\"metadata\":{\"tags\":[\"pdf-ignore\"],\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"id\":\"QaPttVcXrApU\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1611251027257,\"user_tz\":-60,\"elapsed\":1067,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"095f731b-9676-475d-b030-324e42d81e2c\"},\"source\":[\"# Split the data into train, val, and test sets. In addition we will\\n\",\"# create a small development set as a subset of the training data;\\n\",\"# we can use this for development so our code runs faster.\\n\",\"num_training = 49000\\n\",\"num_validation = 1000\\n\",\"num_test = 1000\\n\",\"num_dev = 500\\n\",\"\\n\",\"# Our validation set will be num_validation points from the original\\n\",\"# training set.\\n\",\"mask = range(num_training, num_training + num_validation)\\n\",\"X_val = X_train[mask]\\n\",\"y_val = y_train[mask]\\n\",\"\\n\",\"# Our training set will be the first num_train points from the original\\n\",\"# training set.\\n\",\"mask = range(num_training)\\n\",\"X_train = X_train[mask]\\n\",\"y_train = y_train[mask]\\n\",\"\\n\",\"# We will also make a development set, which is a small subset of\\n\",\"# the training set.\\n\",\"mask = np.random.choice(num_training, num_dev, replace=False)\\n\",\"X_dev = X_train[mask]\\n\",\"y_dev = y_train[mask]\\n\",\"\\n\",\"# We use the first num_test points of the original test set as our\\n\",\"# test set.\\n\",\"mask = range(num_test)\\n\",\"X_test = X_test[mask]\\n\",\"y_test = y_test[mask]\\n\",\"\\n\",\"print('Train data shape: ', X_train.shape)\\n\",\"print('Train labels shape: ', y_train.shape)\\n\",\"print('Validation data shape: ', X_val.shape)\\n\",\"print('Validation labels shape: ', y_val.shape)\\n\",\"print('Test data shape: ', X_test.shape)\\n\",\"print('Test labels shape: ', y_test.shape)\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Train data shape:  (49000, 32, 32, 3)\\n\",\"Train labels shape:  (49000,)\\n\",\"Validation data shape:  (1000, 32, 32, 3)\\n\",\"Validation labels shape:  (1000,)\\n\",\"Test data shape:  (1000, 32, 32, 3)\\n\",\"Test labels shape:  (1000,)\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"code\",\"metadata\":{\"tags\":[\"pdf-ignore\"],\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"id\":\"sPsNEa-CrApU\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1611251035090,\"user_tz\":-60,\"elapsed\":964,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"67ba492d-e197-455b-aed0-f6bdaaebca09\"},\"source\":[\"# Preprocessing: reshape the image data into rows\\n\",\"X_train = np.reshape(X_train, (X_train.shape[0], -1))\\n\",\"X_val = np.reshape(X_val, (X_val.shape[0], -1))\\n\",\"X_test = np.reshape(X_test, (X_test.shape[0], -1))\\n\",\"X_dev = np.reshape(X_dev, (X_dev.shape[0], -1))\\n\",\"\\n\",\"# As a sanity check, print out the shapes of the data\\n\",\"print('Training data shape: ', X_train.shape)\\n\",\"print('Validation data shape: ', X_val.shape)\\n\",\"print('Test data shape: ', X_test.shape)\\n\",\"print('dev data shape: ', X_dev.shape)\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Training data shape:  (49000, 3072)\\n\",\"Validation data shape:  (1000, 3072)\\n\",\"Test data shape:  (1000, 3072)\\n\",\"dev data shape:  (500, 3072)\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"code\",\"metadata\":{\"tags\":[\"pdf-ignore-input\"],\"colab\":{\"base_uri\":\"https://localhost:8080/\",\"height\":315},\"id\":\"wInjX_0grApU\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1611251069270,\"user_tz\":-60,\"elapsed\":2214,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"6e0f806d-051c-43db-d794-04111f303b3e\"},\"source\":[\"# Preprocessing: subtract the mean image\\n\",\"# first: compute the image mean based on the training data\\n\",\"mean_image = np.mean(X_train, axis=0)\\n\",\"print(mean_image[:10]) # print a few of the elements\\n\",\"plt.figure(figsize=(4,4))\\n\",\"plt.imshow(mean_image.reshape((32,32,3)).astype('uint8')) # visualize the mean image\\n\",\"plt.show()\\n\",\"\\n\",\"# second: subtract the mean image from train and test data\\n\",\"X_train -= mean_image\\n\",\"X_val -= mean_image\\n\",\"X_test -= mean_image\\n\",\"X_dev -= mean_image\\n\",\"\\n\",\"# third: append the bias dimension of ones (i.e. bias trick) so that our SVM\\n\",\"# only has to worry about optimizing a single weight matrix W.\\n\",\"X_train = np.hstack([X_train, np.ones((X_train.shape[0], 1))])\\n\",\"X_val = np.hstack([X_val, np.ones((X_val.shape[0], 1))])\\n\",\"X_test = np.hstack([X_test, np.ones((X_test.shape[0], 1))])\\n\",\"X_dev = np.hstack([X_dev, np.ones((X_dev.shape[0], 1))])\\n\",\"\\n\",\"print(X_train.shape, X_val.shape, X_test.shape, X_dev.shape)\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"[130.64189796 135.98173469 132.47391837 130.05569388 135.34804082\\n\",\" 131.75402041 130.96055102 136.14328571 132.47636735 131.48467347]\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 288x288 with 1 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"(49000, 3073) (1000, 3073) (1000, 3073) (500, 3073)\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"Gq_Y0R_2rApV\"},\"source\":[\"## SVM Classifier\\n\",\"\\n\",\"Your code for this section will all be written inside `cs231n/classifiers/linear_svm.py`. \\n\",\"\\n\",\"As you can see, we have prefilled the function `svm_loss_naive` which uses for loops to evaluate the multiclass SVM loss function. \"]},{\"cell_type\":\"code\",\"metadata\":{\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"id\":\"S-_CZtBxrApW\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1611251111283,\"user_tz\":-60,\"elapsed\":965,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"97a41624-7cbe-42d3-a9c2-e429651a5a70\"},\"source\":[\"# Evaluate the naive implementation of the loss we provided for you:\\n\",\"from cs231n.classifiers.linear_svm import svm_loss_naive\\n\",\"import time\\n\",\"\\n\",\"# generate a random SVM weight matrix of small numbers\\n\",\"W = np.random.randn(3073, 10) * 0.0001 \\n\",\"\\n\",\"loss, grad = svm_loss_naive(W, X_dev, y_dev, 0.000005)\\n\",\"print('loss: %f' % (loss, ))\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"loss: 8.554036\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"UphFvsMIrApW\"},\"source\":[\"The `grad` returned from the function above is right now all zero. Derive and implement the gradient for the SVM cost function and implement it inline inside the function `svm_loss_naive`. You will find it helpful to interleave your new code inside the existing function.\\n\",\"\\n\",\"To check that you have correctly implemented the gradient correctly, you can numerically estimate the gradient of the loss function and compare the numeric estimate to the gradient that you computed. We have provided code that does this for you:\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"cVocVjzprApW\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1611253271043,\"user_tz\":-60,\"elapsed\":3888,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"dfd27ce9-1787-4c24-842b-51f11993181c\"},\"source\":[\"# Once you've implemented the gradient, recompute it with the code below\\n\",\"# and gradient check it with the function we provided for you\\n\",\"\\n\",\"# Compute the loss and its gradient at W.\\n\",\"loss, grad = svm_loss_naive(W, X_dev, y_dev, 0.0)\\n\",\"\\n\",\"# Numerically compute the gradient along several randomly chosen dimensions, and\\n\",\"# compare them with your analytically computed gradient. The numbers should match\\n\",\"# almost exactly along all dimensions.\\n\",\"from cs231n.gradient_check import grad_check_sparse\\n\",\"f = lambda w: svm_loss_naive(w, X_dev, y_dev, 0.0)[0]\\n\",\"grad_numerical = grad_check_sparse(f, W, grad)\\n\",\"\\n\",\"# do the gradient check once again with regularization turned on\\n\",\"# you didn't forget the regularization gradient did you?\\n\",\"loss, grad = svm_loss_naive(W, X_dev, y_dev, 5e1)\\n\",\"f = lambda w: svm_loss_naive(w, X_dev, y_dev, 5e1)[0]\\n\",\"grad_numerical = grad_check_sparse(f, W, grad)\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"numerical: 1.735943 analytic: 1.735943, relative error: 2.546403e-11\\n\",\"numerical: 1.969912 analytic: 1.969912, relative error: 6.957576e-11\\n\",\"numerical: -19.355156 analytic: -19.368472, relative error: 3.438549e-04\\n\",\"numerical: 1.630683 analytic: 1.617796, relative error: 3.967039e-03\\n\",\"numerical: -31.188028 analytic: -31.188028, relative error: 2.284121e-12\\n\",\"numerical: 28.790454 analytic: 28.790454, relative error: 2.898519e-12\\n\",\"numerical: 7.179887 analytic: 7.179887, relative error: 3.229984e-11\\n\",\"numerical: 5.550338 analytic: 5.594092, relative error: 3.926088e-03\\n\",\"numerical: -3.377969 analytic: -3.404995, relative error: 3.984486e-03\\n\",\"numerical: 23.760184 analytic: 23.760184, relative error: 7.204207e-12\\n\",\"numerical: 14.762578 analytic: 14.762578, relative error: 1.433315e-11\\n\",\"numerical: -8.207555 analytic: -8.207555, relative error: 3.930879e-11\\n\",\"numerical: 5.744252 analytic: 5.744252, relative error: 4.948586e-11\\n\",\"numerical: 0.968367 analytic: 0.968367, relative error: 7.908199e-11\\n\",\"numerical: 6.322339 analytic: 6.322339, relative error: 2.243296e-12\\n\",\"numerical: 1.218070 analytic: 1.221719, relative error: 1.495664e-03\\n\",\"numerical: 0.783677 analytic: 0.783677, relative error: 3.093583e-10\\n\",\"numerical: 15.111420 analytic: 15.111420, relative error: 4.839265e-12\\n\",\"numerical: 28.604320 analytic: 28.603861, relative error: 8.026854e-06\\n\",\"numerical: -12.510152 analytic: -12.510152, relative error: 6.623274e-13\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"tags\":[\"pdf-inline\"],\"id\":\"KbH9kF2jrApX\"},\"source\":[\"**Inline Question 1**\\n\",\"\\n\",\"It is possible that once in a while a dimension in the gradcheck will not match exactly. What could such a discrepancy be caused by? Is it a reason for concern? What is a simple example in one dimension where a gradient check could fail? How would change the margin affect of the frequency of this happening? *Hint: the SVM loss function is not strictly speaking differentiable*\\n\",\"\\n\",\"$\\\\color{blue}{\\\\textit Your Answer:}$\\n\",\"- Such a discrepancy can be caused by the fact that the given loss formula is not differentiable at some point. So, the analogical derivate of the loss formula is approximated at that point. And that causes the gap between the numerical gradient and the analogical one (in that dimension).\\n\",\"\\n\",\"- No, it is not a reason to concern, since this value (in which, the loss function is not differentiable) is an exception, i.e., occurs rarely in practice.\\n\",\"\\n\",\"- An example in which a gradient check could fail:\\n\",\"\\n\",\"Well, I'll explain this regarding my comprehension (which could be wrong).\\n\",\"\\n\",\"As known, $f(x) = \\\\max(0, x)$ is not differentiable at $(x = 0)$. See the explanation [here](https://math.stackexchange.com/a/1329266).\\n\",\"\\n\",\"For the SVM loss (for a signle datapoint x):\\n\",\"$L = \\\\sum_{j\\\\neq y} \\\\left[ \\\\max(0, w_j^Tx - w_{y}^Tx + \\\\Delta) \\\\right]$, with $\\\\Delta = 1$\\n\",\"\\n\",\"That formula is not differentiable when:\\n\",\"$w_j^Tx - w_{y}^Tx + \\\\Delta = 0$\\n\",\"\\n\",\"A simple example could be: $w=[-2, -1]$ (The are only two classes), $x=[1]$ and $y=1$ (The correct class is 1).\\n\",\"\\n\",\"**Proof:**\\n\",\"\\n\",\"We have: $w \\\\cdot x = [-2, -1]$, by substituting the result in the loss formula part which causes that it will be not differentiable:\\n\",\"$w_j^Tx - w_{y_i}^Tx + \\\\Delta = 0 \\\\Longleftrightarrow -2 - (-1) + 1 = 0$\\n\",\"\\n\",\"**Q.E.D.**\\n\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"vectorized_time_1\",\"scrolled\":true,\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1611253961142,\"user_tz\":-60,\"elapsed\":719,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"daac6149-99db-4c2f-f551-2107650c8062\"},\"source\":[\"# Next implement the function svm_loss_vectorized; for now only compute the loss;\\n\",\"# we will implement the gradient in a moment.\\n\",\"tic = time.time()\\n\",\"loss_naive, grad_naive = svm_loss_naive(W, X_dev, y_dev, 0.000005)\\n\",\"toc = time.time()\\n\",\"print('Naive loss: %e computed in %fs' % (loss_naive, toc - tic))\\n\",\"\\n\",\"from cs231n.classifiers.linear_svm import svm_loss_vectorized\\n\",\"tic = time.time()\\n\",\"loss_vectorized, _ = svm_loss_vectorized(W, X_dev, y_dev, 0.000005)\\n\",\"toc = time.time()\\n\",\"print('Vectorized loss: %e computed in %fs' % (loss_vectorized, toc - tic))\\n\",\"\\n\",\"# The losses should match but your vectorized implementation should be much faster.\\n\",\"print('difference: %f' % (loss_naive - loss_vectorized))\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Naive loss: 8.554036e+00 computed in 0.108015s\\n\",\"Vectorized loss: 8.554036e+00 computed in 0.010636s\\n\",\"difference: 0.000000\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"vectorized_time_2\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1611253975715,\"user_tz\":-60,\"elapsed\":738,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"9edd783c-14c8-4a9d-963a-bb1412316268\"},\"source\":[\"# Complete the implementation of svm_loss_vectorized, and compute the gradient\\n\",\"# of the loss function in a vectorized way.\\n\",\"\\n\",\"# The naive implementation and the vectorized implementation should match, but\\n\",\"# the vectorized version should still be much faster.\\n\",\"tic = time.time()\\n\",\"_, grad_naive = svm_loss_naive(W, X_dev, y_dev, 0.000005)\\n\",\"toc = time.time()\\n\",\"print('Naive loss and gradient: computed in %fs' % (toc - tic))\\n\",\"\\n\",\"tic = time.time()\\n\",\"_, grad_vectorized = svm_loss_vectorized(W, X_dev, y_dev, 0.000005)\\n\",\"toc = time.time()\\n\",\"print('Vectorized loss and gradient: computed in %fs' % (toc - tic))\\n\",\"\\n\",\"# The loss is a single number, so it is easy to compare the values computed\\n\",\"# by the two implementations. The gradient on the other hand is a matrix, so\\n\",\"# we use the Frobenius norm to compare them.\\n\",\"difference = np.linalg.norm(grad_naive - grad_vectorized, ord='fro')\\n\",\"print('difference: %f' % difference)\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Naive loss and gradient: computed in 0.082311s\\n\",\"Vectorized loss and gradient: computed in 0.010278s\\n\",\"difference: 0.000000\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"k3fqv7UFrApY\"},\"source\":[\"### Stochastic Gradient Descent\\n\",\"\\n\",\"We now have vectorized and efficient expressions for the loss, the gradient and our gradient matches the numerical gradient. We are therefore ready to do SGD to minimize the loss. Your code for this part will be written inside `cs231n/classifiers/linear_classifier.py`.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"sgd\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1611254017083,\"user_tz\":-60,\"elapsed\":7820,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"bc097e2b-dbb5-4815-ef70-070423dd7923\"},\"source\":[\"# In the file linear_classifier.py, implement SGD in the function\\n\",\"# LinearClassifier.train() and then run it with the code below.\\n\",\"from cs231n.classifiers import LinearSVM\\n\",\"svm = LinearSVM()\\n\",\"tic = time.time()\\n\",\"loss_hist = svm.train(X_train, y_train, learning_rate=1e-7, reg=2.5e4,\\n\",\"                      num_iters=1500, verbose=True)\\n\",\"toc = time.time()\\n\",\"print('That took %fs' % (toc - tic))\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"iteration 0 / 1500: loss 790.962547\\n\",\"iteration 100 / 1500: loss 287.988371\\n\",\"iteration 200 / 1500: loss 108.396316\\n\",\"iteration 300 / 1500: loss 43.115256\\n\",\"iteration 400 / 1500: loss 19.422012\\n\",\"iteration 500 / 1500: loss 10.192382\\n\",\"iteration 600 / 1500: loss 7.556665\\n\",\"iteration 700 / 1500: loss 6.094012\\n\",\"iteration 800 / 1500: loss 5.343716\\n\",\"iteration 900 / 1500: loss 5.457795\\n\",\"iteration 1000 / 1500: loss 5.168294\\n\",\"iteration 1100 / 1500: loss 5.935574\\n\",\"iteration 1200 / 1500: loss 5.168808\\n\",\"iteration 1300 / 1500: loss 5.192995\\n\",\"iteration 1400 / 1500: loss 4.960080\\n\",\"That took 6.312145s\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"sJ8ImuGsrApY\",\"colab\":{\"base_uri\":\"https://localhost:8080/\",\"height\":496},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1611254036556,\"user_tz\":-60,\"elapsed\":711,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"dccdf610-9af3-4560-b43c-118c14df7af1\"},\"source\":[\"# A useful debugging strategy is to plot the loss as a function of\\n\",\"# iteration number:\\n\",\"plt.plot(loss_hist)\\n\",\"plt.xlabel('Iteration number')\\n\",\"plt.ylabel('Loss value')\\n\",\"plt.show()\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 720x576 with 1 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}}]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"validate\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1611254044573,\"user_tz\":-60,\"elapsed\":2517,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"afa2703b-b830-400b-b8cd-959bdb4a4b2a\"},\"source\":[\"# Write the LinearSVM.predict function and evaluate the performance on both the\\n\",\"# training and validation set\\n\",\"y_train_pred = svm.predict(X_train)\\n\",\"print('training accuracy: %f' % (np.mean(y_train == y_train_pred), ))\\n\",\"y_val_pred = svm.predict(X_val)\\n\",\"print('validation accuracy: %f' % (np.mean(y_val == y_val_pred), ))\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"training accuracy: 0.366449\\n\",\"validation accuracy: 0.388000\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"tuning\",\"tags\":[\"code\"],\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1611254160584,\"user_tz\":-60,\"elapsed\":26400,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"e03bc687-69f0-4261-eef8-023d30dddf27\"},\"source\":[\"# Use the validation set to tune hyperparameters (regularization strength and\\n\",\"# learning rate). You should experiment with different ranges for the learning\\n\",\"# rates and regularization strengths; if you are careful you should be able to\\n\",\"# get a classification accuracy of about 0.39 on the validation set.\\n\",\"\\n\",\"# Note: you may see runtime/overflow warnings during hyper-parameter search. \\n\",\"# This may be caused by extreme values, and is not a bug.\\n\",\"\\n\",\"# results is dictionary mapping tuples of the form\\n\",\"# (learning_rate, regularization_strength) to tuples of the form\\n\",\"# (training_accuracy, validation_accuracy). The accuracy is simply the fraction\\n\",\"# of data points that are correctly classified.\\n\",\"results = {}\\n\",\"best_val = -1   # The highest validation accuracy that we have seen so far.\\n\",\"best_svm = None # The LinearSVM object that achieved the highest validation rate.\\n\",\"\\n\",\"################################################################################\\n\",\"# TODO:                                                                        #\\n\",\"# Write code that chooses the best hyperparameters by tuning on the validation #\\n\",\"# set. For each combination of hyperparameters, train a linear SVM on the      #\\n\",\"# training set, compute its accuracy on the training and validation sets, and  #\\n\",\"# store these numbers in the results dictionary. In addition, store the best   #\\n\",\"# validation accuracy in best_val and the LinearSVM object that achieves this  #\\n\",\"# accuracy in best_svm.                                                        #\\n\",\"#                                                                              #\\n\",\"# Hint: You should use a small value for num_iters as you develop your         #\\n\",\"# validation code so that the SVMs don't take much time to train; once you are #\\n\",\"# confident that your validation code works, you should rerun the validation   #\\n\",\"# code with a larger value for num_iters.                                      #\\n\",\"################################################################################\\n\",\"\\n\",\"# Provided as a reference. You may or may not want to change these hyperparameters\\n\",\"learning_rates = [1e-7] # Modified\\n\",\"regularization_strengths = [7.5e3, 5e3, 2.5e3] # Modified\\n\",\"\\n\",\"# *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\\n\",\"\\n\",\"for lr in learning_rates:\\n\",\"  for rs in regularization_strengths:\\n\",\"    svm = LinearSVM()\\n\",\"    loss_hist = svm.train(X_train, y_train, learning_rate=lr, reg=rs,\\n\",\"                          num_iters=2000, verbose=False)\\n\",\"\\n\",\"    y_train_pred = svm.predict(X_train)\\n\",\"    training_accuracy = np.mean(y_train == y_train_pred)\\n\",\"\\n\",\"    y_val_pred = svm.predict(X_val)\\n\",\"    validation_accuracy = np.mean(y_val == y_val_pred)\\n\",\"\\n\",\"    results[(lr, rs)] = (training_accuracy, validation_accuracy)\\n\",\"\\n\",\"    if validation_accuracy > best_val:\\n\",\"      best_val = validation_accuracy\\n\",\"      best_svm = svm\\n\",\"\\n\",\"# *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\\n\",\"    \\n\",\"# Print out results.\\n\",\"for lr, reg in sorted(results):\\n\",\"    train_accuracy, val_accuracy = results[(lr, reg)]\\n\",\"    print('lr %e reg %e train accuracy: %f val accuracy: %f' % (\\n\",\"                lr, reg, train_accuracy, val_accuracy))\\n\",\"    \\n\",\"print('best validation accuracy achieved during cross-validation: %f' % best_val)\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"lr 1.000000e-07 reg 2.500000e+03 train accuracy: 0.362571 val accuracy: 0.377000\\n\",\"lr 1.000000e-07 reg 5.000000e+03 train accuracy: 0.382959 val accuracy: 0.382000\\n\",\"lr 1.000000e-07 reg 7.500000e+03 train accuracy: 0.386612 val accuracy: 0.393000\\n\",\"best validation accuracy achieved during cross-validation: 0.393000\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"code\",\"metadata\":{\"tags\":[\"pdf-ignore-input\"],\"id\":\"Rk0tzzKJrApZ\",\"colab\":{\"base_uri\":\"https://localhost:8080/\",\"height\":590},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1611254201506,\"user_tz\":-60,\"elapsed\":1863,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"f905110a-2197-44f7-8f9d-cfaea66706db\"},\"source\":[\"# Visualize the cross-validation results\\n\",\"import math\\n\",\"import pdb\\n\",\"\\n\",\"# pdb.set_trace()\\n\",\"\\n\",\"x_scatter = [math.log10(x[0]) for x in results]\\n\",\"y_scatter = [math.log10(x[1]) for x in results]\\n\",\"\\n\",\"# plot training accuracy\\n\",\"marker_size = 100\\n\",\"colors = [results[x][0] for x in results]\\n\",\"plt.subplot(2, 1, 1)\\n\",\"plt.tight_layout(pad=3)\\n\",\"plt.scatter(x_scatter, y_scatter, marker_size, c=colors, cmap=plt.cm.coolwarm)\\n\",\"plt.colorbar()\\n\",\"plt.xlabel('log learning rate')\\n\",\"plt.ylabel('log regularization strength')\\n\",\"plt.title('CIFAR-10 training accuracy')\\n\",\"\\n\",\"# plot validation accuracy\\n\",\"colors = [results[x][1] for x in results] # default size of markers is 20\\n\",\"plt.subplot(2, 1, 2)\\n\",\"plt.scatter(x_scatter, y_scatter, marker_size, c=colors, cmap=plt.cm.coolwarm)\\n\",\"plt.colorbar()\\n\",\"plt.xlabel('log learning rate')\\n\",\"plt.ylabel('log regularization strength')\\n\",\"plt.title('CIFAR-10 validation accuracy')\\n\",\"plt.show()\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"iVBORw0KGgoAAAANSUhEUgAAAnkAAAI9CAYAAABGwG7bAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+WH4yJAAAgAElEQVR4nOzdeZgddZn28e/dnT1hT1T2gILKMkRkVVBB0CAjuMsi4ozKOIriMiqOioC+vsoIr+MYdXAEcQEUUIzIIo4wCINAwAAJiyyCgCxhy0LI1n2/f1S1HpruPtWhz+k+59yf66orp6p+VfWcStJ58ltlm4iIiIhoL12jHUBEREREjLwkeRERERFtKEleRERERBtKkhcRERHRhpLkRURERLShJHkRERERbShJXkSMOkkXSTpypMtGRHSyJHkRDSbpMEnzJC2T9GCZpOxVnjte0o9qylrSU2XZZZKerDn3mvL8p/vdf2Z5vO+aeyQdWyemL0q6WdIaSccPEvO9ZSznS9pwiHtZ0ouG8UqexfYBts8Y6bIREZ0sSV5EA0n6OPB14MvA84EtgG8BBw9x2U62p5Xb+jXHjwQeB949yHXr254GvA34vKT9h3jGncCngF8NEPP2wH8CR5QxLy9jXiuSxq3ttZ0k7ykiRlqSvIgGkbQecCLwIds/s/2U7dW2f2n7k8O811SK5O1DwDaSdhmsrO15wEJg1hBlzrB9EbB0gNOHA7+0fYXtZcDngbdIWmeAuK4oP95Y1iK+s6xxvF/SpyU9BJwuaQNJF0haJOmJ8vNmNfe5XNL7ys/vkXSlpK+VZf8k6YC1LLuVpCskLZX0G0lzamtO+32XejFuKOl0SX8pz59fc+5gSfMlLZF0l6TZ5fF7JO1XU+6vNbc1NbDvlfRn4Lfl8XMkPSRpcRn79jXXT5Z0clnLurj87pMl/UrSh/t9n5skvXmg7xoRnSFJXkTj7AlMAn4+Avd6C7AMOAe4hKJWb0CS9gB2oKitWxvbAzf27di+C1gFbNu/oO1XlR/7ah9/Uu6/ANgQ2BI4iuJnzenl/hbA08A3h4hhd+B2YDpwEvA9SVqLsmcC1wIbAcdT1E4Opl6MPwSmULyf5wH/D0DSbsAPgE8C6wOvAu4Z4jn9vRp4KfD6cv8iYJvyGTcAP64p+zXg5cArKN7vp4Be4AzgXX2FJO0EbMoANbUR0TmS5EU0zkbAo7bXDPO6GyQ9WW7fKI8dCfzEdg9F4nKIpPH9rntU0tPA1RTNq+ezdqYBi/sdWww8qyZvCL3AF2yvtP207cdsn2d7ue2lwP+hSG4Gc6/t75bf9wxgY4qm48plJW0B7AocZ3uV7SuBuYM9cKgYJW0MHAB8wPYTZY3s/5SXvhc4zfaltnttP2D7tmqvCYDjy1rep8s4TrO91PZKisR0J0nrSeoC/hE4pnxGj+3/LcvNBbaVtE15zyMo/rysGkYcEdFmkuRFNM5jwPS16Gu1s+31y+0jkjYH9uFvNTq/oKghPLDfddMpErRPAK8BxgNIWlgzKGPvCs9fBqzb79i6DNy0O5hFtlf07UiaIuk/y2bGJcAVwPqSuge5/qG+D7aXlx+nDbPsJsDjNccA7hss4Doxbl7e64kBLt0cuGuw+1bw15gkdUv6Stnku4S/1QhOL7dJAz2rfNc/Ad5VJoOHUtQ8RkQHS5IX0ThXAyuBNz3H+xxB8Xf1l2Uft7sp/rF/VpNtWbtzCrAC+GB5bPuagRy/q/C8hcBOfTuStgYmAn8cRszut/8J4MXA7rbXpWjSBBisCXYkPAhsKGlKzbHNhyg/VIz3lfdaf4Dr7gNeOMg9n6Jo4u3zggHK1L6rwygG5ewHrAfMrInhUYrf18GedQZFf8rXAsttXz1IuYjoEEnyIhrE9mLgOGCOpDeVNUXjJR0g6aRh3OpI4ASKgRR921uBN0jaaJBrvgJ8StKkgU6WcUyi+BkwTtKkmlq1HwNvlLS3igEfJwI/K5swB/IwsHWd77AORR+3J1VMx/KFOuWfM9v3AvOA4yVNkLQn8Ma1idH2gxR95b5VDtAYL6kvCfwe8A+SXiupS9Kmkl5SnptP2bSuYrDM2+qEvQ7Ffwweo0gOv1wTQy9wGnCKpE3KWr89JU0sz19N0Ux+MqnFiwiS5EU0lO2TgY8DnwMWUdT6HE3F/nLlIIotgTm2H6rZ5lIMrDh0kEt/BTwBvH+Q89+lSGgOBT5bfj6ijHkh8AGKZO8RisTjg0OEeTxwRtmH8B2DlPk6MJmiNur3wMVD3G8kHU4xAOYx4EsUTZorBylbL8YjgNXAbRTv5aMAtq8F/oFiIMZi4H8ofs+gGJn8QorfixMo+lMO5QfAvcADwC1lHLX+BbgZuI5iOp2v8syf4z8AdgQGHEEcEZ1Fdv9WlYiI9iTpJ8BtthtekzgaJL0bOMr2XqMdS0SMvtTkRUTbkrSrpBeWzaizKfq7re2o4zGt7Hv4QeDU0Y4lIsaGJHkR0c5eAFxOMWL4G8A/2/7DqEbUAJJeT9Ed4GHqNwlHRIdIc21EREREG0pNXkREREQbSpIXERER0YaGOxP/qJs+fbpnzpw52mFERETECLn++usftT1jtJ7/8q6pXuKeyuXvZOUltmc3MKQR0XJJ3syZM5k3b95ohxEREREjRNK9o/n8JfTw75NnVi5/4NO3T29cNCOn5ZK8iIiIiJEkia5xjVxlcXQkyYuIiIjOJtD49humkCQvIsacnhUrWbXocbomTWTijA1HO5yIaHciNXkREY20/O77uOPL3+IvP/0VUhe9a9YwZeZmvOjT/8SmR7wJqf1+CEfEGCDQ+Pb7+ZIkLyLGhCfn3czvX3ckPctXQM/fRrk99cc/seAjJ/DIxVfwsh+djLrar0klIkZXu/bJy0/LiBh1PStWcu2B76Vn6VPPSPD+ev6pp3nkV5dxz7d+NArRRUTbK2vyqm6tIkleRIy6B8+9iN5Vq4cs07P8ae766qm4t7dJUUVEp5Cge2JX5a1VtE6kEdG27v/B+fQsW1633JplT7H05j82IaKI6CiCrm5V3lpF+uRFxKhbvXhJpXLq7mbN0mUNjiYiOo9QV+skb1WlJi8iRt2UmZsV7SV19K5azaRNn9+EiCKiowjU3VV5axWtE2lEtK0t//kwuqdOrltu2ku2ZspWmzchoojoJGJkm2slzZZ0u6Q7JR07wPkPSLpZ0nxJV0rarjw+XtIZ5blbJX2m5pp7aq6ptL5rkryIGHUbvXp3pr5oJho/eA+SrsmTeMn/+UQTo4qIjiFQlypvQ95K6gbmAAcA2wGH9iVxNc60vaPtWcBJwCnl8bcDE23vCLwc+CdJM2uu28f2LNu7VPlaSfIiYtRJYveLT2PatlvRPW3KM89NGE/XpIns8O+fZ8b+e41ShBHR3qrX4lWoydsNuNP23bZXAWcDB9cWsF3bEXkq4L5TwFRJ44DJwCqgWqflAWTgRUSMCRM22oC95p3Pw7/8LX/6+uksv/s+uiZN4AVvfh0zP/iuot9eREQDSKDhjZqd3q/J9FTbp5afNwXuqzl3P7D7s5+pDwEfByYA+5aHz6VICB8EpgAfs/14ec7AryUZ+M+a5w0qSV5EjBld48ax8Ztfx8Zvft1ohxIRHWaYq+k8WrXJdDC25wBzJB0GfA44kqIWsAfYBNgA+J2k39i+G9jL9gOSngdcKuk221cM9Yw010ZERERnG8E+ecADQO0Isc3KY4M5G3hT+fkw4GLbq20/AlwF7AJg+4Hy10eAn1MkhENKkhcREREdTRLd47sqb3VcB2wjaStJE4BDgLn9nrdNze6BwB3l5z9TNt1KmgrsAdwmaaqkdWqOvw5YUC+QNNdGRERExxtmc+2gbK+RdDRwCdANnGZ7oaQTgXm25wJHS9oPWA08QdFUC8Wo3NMlLaSY2eV02zdJ2hr4uYr5RMdRjM69uF4sSfIiIiKis5XNtSPF9oXAhf2OHVfz+ZhBrltGMY1K/+N3AzsNN44keREREdHhWmtN2qqS5EVERERH0wjX5I0VSfIiIiKi441Un7yxJEleREREdLbU5EVERES0o0rz37WcJHkRERHR8ZLkRURERLSZYuBF+uRFREREtJdyxYt2kyQvIiIiOl5q8iIiIiLaTObJi4iIiGhTSfIiIiIi2o7SXBsRERHRdtJcGxEREdGOUpMXERER0Z6UmryIiIiItpLRtRERERFtKs21EREREe1Gomtc92hHMeKS5EVERETHa8fm2obVTUqaJOlaSTdKWijphAHKbCHpMkl/kHSTpDc0Kp6IiIiIgfT1yau6tYpG1uStBPa1vUzSeOBKSRfZ/n1Nmc8BP7X9bUnbARcCMxsYU0REREQ/gvTJq862gWXl7vhyc/9iwLrl5/WAvzQqnoiIiIjBKFOoDI+kbuB64EXAHNvX9CtyPPBrSR8GpgL7NTKeiIiIiGdRe46ubeg3st1jexawGbCbpB36FTkU+L7tzYA3AD+U9KyYJB0laZ6keYsWLWpkyBEREdFxqvfHa6U+eU1JW20/CVwGzO536r3AT8syVwOTgOkDXH+q7V1s7zJjxoxGhxsRERGdRBR98qpuLaKRo2tnSFq//DwZ2B+4rV+xPwOvLcu8lCLJS1VdRERENFU71uQ1sk/exsAZZb+8LopRtBdIOhGYZ3su8Angu5I+RjEI4z3lgI2IiIiIphBigN5iLa+Ro2tvAl42wPHjaj7fAryyUTFERERE1CVQVryIiIiIaD+t1AxbVZK8iIiI6GzFkhejHcWIS5IXERERHa8ja/IkvZJi0uIty/KiWNBi68aGFhEREdEkLTQ1SlVVavK+B3yMYuWKnsaGExEREdFckjp2WbPFti9qeCQRERERo6WTavIk7Vx+vEzSvwE/A1b2nbd9Q4Nji4iIiGiKTuuTd3K//V1qPhvYd+TDiYiIiGiyThtda3sfAElb27679pykDLqIiIiI9tGGNXlV0tZzBzh2zkgHEhERETEqBOrurry1iqH65L0E2B5YT9Jbak6tC0xqdGARERERzSHUhgMvhvpGLwb+HlgfeGPNtjPw/saHFhEREdEkUvWt7q00W9Ltku6UdOwA5z8g6WZJ8yVdKWm78vh4SWeU526V9Jmq9xzIUH3yfgH8QtKetq+ucrOIiIiIliNGbAoVSd3AHGB/4H7gOklzbd9SU+xM298pyx8EnALMBt4OTLS9o6QpwC2SzgLuq3DPZ6kyT95hkg7td2wxMK9MBCMiIiJaWLUauop2A+7sG7Qq6WzgYOCvCZntJTXlp1LMWkL561RJ44DJwCpgSZV7DqRK2joRmAXcUW5/B2wGvFfS1ytcHxERETGmqaur8lbHphQ1b33uL48983nShyTdBZwEfKQ8fC7wFPAg8Gfga7Yfr3rP/qrU5P0d8ErbPWVQ3wZ+B+wF3Fzh+oiIiIixSwx3nrzpkubV7J9q+9Th3MD2HGCOpMOAzwFHUtTY9QCbABsAv5P0m+Hct1aVJG8DYBpFEy0U1Yob2u6RtHLwyyIiIiJagYY7T96jtncZ5NwDwOY1+5uVxwZzNvDt8vNhwMW2VwOPSLqKYjGK+4Z5T6Bac+1JwHxJp0v6PvAH4N8kTQXWOruMiIiIGAsESF2VtzquA7aRtJWkCcAhwNxnPE/apmb3QIrucFA00e5blpkK7AHcVuWeA6lbk2f7e5IupKhCBPhX238pP3+y3vURERERY5oYsRUvbK+RdDRwCdANnGZ7oaQTKQatzgWOlrQfsBp4gqKpFooRtKdLWlhGdbrtmwAGume9WKo010JR47eoLP8iSS+yfUXFayMiIiLGMEHXyK1kYftC4MJ+x46r+XzMINcto5hGpdI966mb5En6KvBOYCHQ2/csIEleREREtIc2XPGiSk3em4AX284gi4iIiGg/0nBH17aEKkne3cB4IEleREREtKcR6pM3llRJ8pZTjK79b2oSPdsfGfySiIiIiBbSoTV5c6kwTDciIiKiZY3csmZjRpUpVM6QNBnYwvbtTYgpIiIionmkthx4UfcbSXojMB+4uNyfJSk1exEREdE+pOpbi6iSth5PMRHykwC25wNbNzCmiIiIiOZSV/WtRVTpk7fa9mI9M3PtHaxwREREREuRoHvkJkMeK6okeQslHQZ0l2utfQT438aGFREREdFELVRDV1WVb/RhYHuK6VPOBBYDH21kUBERERHNM4z+eC3UJ2/ImjxJ3cCvbO8DfLY5IUVEREQ0kWjL0bVDJnm2eyT1SlrP9uJmBRURERHRLAbcQjV0VVXpk7cMuFnSpcBTfQez4kVENIpXr6b3qaUwfjzdU9cZ7XAiou117tq1Pyu3Wm5ALBHR4dY8+ghLfv0zls+7EgHu7WXc9OezzuvezJRd90Zt+D/tiBgjOjTJW9/2v9cekHRMvYskTQKuACaWzznX9hf6lfl/wD7l7hTgebbXrxJ4RLSXVffdzaJvnIBXrYTe3r/+T3LNww/w5E++y4qFN7DhkR9BbdhvJiJGXzs211b5aXnkAMfeU+G6lcC+tncCZgGzJe1RW8D2x2zPsj0L+A+eXWMYER3Aq1fx6Jwv4RVPQ++zp+H0qpWsWHA9y353yShEFxFtT+qsyZAlHQocBmzVbxmzdYHH693Ytin68wGML7ehmnkPBb4wxPmIaFPL5/8er1kzZBmvWsnSX5/PtL1fn9q8iBh5bViTN1Rz7f8CDwLTgZNrji8Fbqpy83IKluuBFwFzbF8zSLktga2A31a5b0S0l+W/vxyvXFG3nFc+zeoH72PCpls2IaqI6BzCnbTihe17gXsl7Qc8bbtX0rbAS4Cbq9zcdg8wS9L6wM8l7WB7wQBFD6Hos9cz0H0kHQUcBbDFFltUeXREtJDep5+qXwhAXUWTbkTESBIt1QxbVZVvdAUwSdKmwK+BI4DvD+chtp8ELgNmD1LkEOCsIa4/1fYutneZMWPGcB4dES2ge6PnVSvYs4bu9TZsbDAR0ZGsrspbq6gSqWwvB94CfMv22ymWORv6ImlGWYOHpMnA/sBtA5R7CbABcPVwAo+I9jFtr9ejiZPqlhv3/E0YN71iQhgRUVl7LmtWKcmTtCdwOPCr8liVhuuNgcsk3QRcB1xq+wJJJ0o6qKbcIcDZ5UCNiOhAE7fdnnHTXwBD9InR+Amsd9BhTYwqIjpJO9bkVZkn7xjgM8DPbS+UtDVF0+uQbN8EvGyA48f12z++WqgR0a4kMf3oz7Ho34+n54lHnzkIo3sc6upivbf9A5NeOmv0goyI9tZCNXRV1U3ybF9B0S+vb/9uIEuaRcSI6p62Ls8/9iSevmkey357AWseexiNG8/knXZn2qtnM27680c7xIhoV+rcZc0iIppC3eOY8rI9mPKyPeoXjogYIaY9V7xIkhcRERGRmryIiIiI9mM6sCZP0gzg/cDM2vK2/7FxYUVEREQ0i3BX+9V7VflGvwB+B/wGGHBFioiIiIiWpc7tkzfF9qcbHklERETEKDBqqfnvqqryjS6Q9IaGRxIRERExWtpwxYuqkyH/q6RVwOrymG2v27iwIiIiIpqnHWvyqkyGvE4zAomIiIgYHerM0bUA5Vqzryp3L7d9QeNCioiIiGiujqzJk/QVYFfgx+WhYyS90vZnGhpZRERERDOIluprV1WVmrw3ALNs9wJIOgP4A5AkLyIiItqAcKWxqK2l6sx/6wOPl5/Xa1AsEREREU3XyWvX/l/gD5Iuo6jQfBVwbEOjioiIiGiiXnWPdggjrsro2rMkXU7RLw/g07YfamhUEREREU3TYZMhS3pJ+evOwMbA/eW2SXksIiIioi1YqrzVI2m2pNsl3SnpWa2fkj4g6WZJ8yVdKWm78vjh5bG+rVfSrPLc5eU9+849r14cQ9XkfRw4Cjh5oHcB7Fv3W0ZERESMcYYRmydPUjcwB9ifonLsOklzbd9SU+xM298pyx8EnALMtv1jytlMJO0InG97fs11h9ueVzWWQZM820eVHw+wvaLfF5hU9QERERERY5pGtLl2N+BO23cXt9bZwMHAX5M820tqyk+lyDP7OxQ4+7kEUuUb/W/FYxEREREtyeWqF1U2YLqkeTXbUTW32hS4r2b//vLYM0j6kKS7gJOAjwwQ0juBs/odO71sqv28VL/deNCaPEkvKIOaLOll8Nd6zHWBKfVuHBEREdEqhlmT96jtXZ7T8+w5wBxJhwGfA47sOydpd2C57QU1lxxu+wFJ6wDnAUcAPxjqGUP1yXs98B5gM4q24j5LgX8dxveIiIiIGNNGcO3aB4DNa/Y3K48N5mzg2/2OHUK/WjzbD5S/LpV0JkWz8NolebbPAM6Q9Fbb5w11k4iIiIhW5ZGdQuU6YBtJW1Ekd4cAh9UWkLSN7TvK3QOBO2rOdQHvAPauOTYOWN/2o5LGA38P/KZeIFXmyTtP0oHA9sCkmuMn1rs2IiIiohWMVE2e7TWSjgYuAbqB02wvlHQiMM/2XOBoSfsBq4EnqGmqpVh04r6+gRulicAlZYLXTZHgfbdeLHWTPEnfoeiDtw/wX8DbgGvrf82IiIiI1tA7gmvX2r4QuLDfseNqPh8zxLWXA3v0O/YU8PLhxlHlG73C9ruBJ2yfAOwJbDvcB0VERESMTcJ0Vd5aRZW1a58uf10uaRPgMYoVMCIiIiJa3khOhjyWVEnyLpC0PvBvwA0U7+K/GhpVRERERBN1ZJJn+4vlx/MkXQBMsr24sWFFRERENE87Jnl1G5Yl3SXpAwC2V9peXCZ7EREREW2g+moXrZQMVuk9uBrYR9LpkiaUx561PEdEREREq7JVeWsVVZK85bbfCdwK/E7SFgy8kG5EREREy+kbeNFuNXlVBl4IwPZJkm4Afg1s2NCoIiIiIpqolZK3qqokebWT9/1G0ut55szMERERES2to5I8SS+xfRvwgKSd+53OwIuIiIhoC0b0uHUmOa5qqJq8jwNHAScPcM7Avg2JKCIiIqLJOqomz/ZRkrqAz9m+arg3ljQJuIJiUd1xwLm2vzBAuXcAx1MkjjfaPmy4z4qIiIhYa6alRs1WNWSfPNu9kr4JvGwt7r0S2Nf2MknjgSslXWT7930FJG0DfAZ4pe0nJD1vLZ4TERER8Zy0Y01elQbo/5b0VknD+vYuLCt3x5db/6lX3g/Msf1Eec0jw3lGRERExHNXfY68Vqrxq5Lk/RNwDrBS0hJJSyUtqXJzSd2S5gOPAJfavqZfkW2BbSVdJen3kmYPcp+jJM2TNG/RokVVHh0RERFRSbvOk1c3ybO9ju0u2xNsr1vur1vl5rZ7bM8CNgN2k7RDvyLjgG2A1wCHAt+VtP4A9znV9i62d5kxY0aVR0dERERU1o41eVXmyUPSBhTJ2KS+Y7avqPoQ209KugyYDSyoOXU/cI3t1cCfJP2xfM51Ve8dERER8Vz1jnYADVC3Jk/S+yhGyV4CnFD+enyF62b01cpJmgzsD9zWr9j5FLV4SJpO0Xx7d+XoIyIiIkZAO9bkVemTdwywK3Cv7X0oRto+WeG6jYHLJN1EUTN3qe0LJJ0o6aCyzCXAY5JuAS4DPmn7sWF/i4iIiIi1NJz+eK3UJ69Kc+0K2yskIWmi7dskvbjeRbZvYoCpV2zXLpNmikmXPz6coCMiIiJGUm+HrXjR5/6y2fV84FJJTwD3NjasiIiIiCYx9Paf5K0N1E3ybL+5/Hh8OXhiPeDihkYVERER0SR9U6i0m0GTPEkbDnD45vLXacDjDYkoIiIioslaaUBFVUPV5F1PkdwO9K0NbN2QiCIiIiKazJ3UXGt7q2YGEhERETE6RG8nNdf2kfSqgY4PZzLkiIiIiLHKdF5zbZ9P1nyeBOxG0ZS7b0MiioiIiGiyjmqu7WP7jbX7kjYHvt6wiCIiIiKarKNG1w7hfuClIx1IRERExKjo1HnyJP0HRXM1FMugzQJuaGRQEREREc1ioLe3M2vy5tV8XgOcZfuqBsUTERER0XQdObrW9hnNCCQiIiJitHTkwAtJN/O35to+iylq+L5k+7FGBBYRERHRDEYdO4XKRUAPcGa5fwgwBXgI+D7wxoEvi4iIiGgBnTrwAtjP9s41+zdLusH2zpLe1ajAIiIiIpqlHZtruyqU6Za0W9+OpF2B7nJ3TUOiioiIiGgio8pbq6hSk/c+4DRJ08r9pcD7JE0F/m/DIouIiIhoAtOhzbW2rwN2lLReub+45vRPGxVYRERERLN0ZHOtpOdL+h5wtu3FkraT9N4mxBYRERHRFHb1rVVU6ZP3feASYJNy/4/ARxsVUEREREQz2dDTq8pbPZJmS7pd0p2Sjh3g/Ack3SxpvqQrJW1XHj+8PNa39UqaVZ57eXnNnZK+IaluIFWSvOm2fwr0Fi/CayimVImIiIhoCyNVkyepG5gDHABsBxzal8TVONP2jrZnAScBpxQx+Me2Z5XHjwD+ZHt+ec23gfcD25Tb7HrfqUqS95SkjSgnRJa0B8VkyBERERFtodfVtzp2A+60fbftVcDZwMG1BWwvqdmdyrMXnQA4tLwWSRsD69r+vW0DPwDeVC+QKqNrPw7MBV4o6SpgBvC2CtdFREREjHmG4a54MV3SvJr9U22fWn7eFLiv5tz9wO79byDpQxQ51gRg3wGe8U7+lhxuWt6n9p6b1gtyyCSvrHJ8dbm9GBBwu+3V9W4cERER0RKGP6DiUdu7PKdH2nOAOZIOAz4HHNl3TtLuwHLbC57LM4ZsrrXdAxxqe43thbYXJMGLiIiIdjOCzbUPAJvX7G9WHhvM2Ty76fUQ4Kx+99xsGPcEqvXJu0rSNyXtLWnnvq3CdRERERFjXtFcO2JTqFwHbCNpK0kTKBK2ubUFJG1Ts3sgcEfNuS7gHZT98QBsPwgskbRHOar23cAv6gVSpU/erPLXE2uOmYHbjyMiIiJazkjNf2d7jaSjKaaf6wZOs71Q0onAPNtzgaMl7QesBp6gpqkWeBVwn+27+936gxTT2k0GLiq3IVVZ8WKf+l8pIiIionWN5LJmti8ELux37Liaz8cMce3lwB4DHJ8H7DCcOKrU5EVERES0LRt62nAG4CR5ERER0fFaabmyqpLkRURERMfryCRP0lsGOLwYuNn2IyMfUkRERETzuKovQ2UAACAASURBVNrUKC2nSk3ee4E9gcvK/dcA1wNbSTrR9g8bFFtEREREU7gNq/KqJHnjgJfafhhA0vMp1kzbHbgCSJIXERERLa0Nc7xKSd7mfQle6ZHy2OOSsvpFREREtLze3tGOYORVWfHickkXSDpS0pEUszZfLmkq8ORgF0maJOlaSTdKWijphAHKvEfSIknzy+19a/9VIiIiIoZvOKtdtFKNX5WavA8BbwH2KvfPAM5z0Xg91ETJK4F9bS+TNB64UtJFtn/fr9xPbB893MAjIiIiRkpHDrywbUlXAqsoljO71hV6J5ZllpW748utDV9hREREtLpWqqGrqm5zraR3ANcCb6NYMPcaSW+rcnNJ3ZLmU/Tju9T2NQMUe6ukmySdK2nzYcQeERER8ZwVK1648tYqqvTJ+yywq+0jbb8b2A34fJWb2+6xPQvYDNhNUv81134JzLT9d8ClFE3BzyLpKEnzJM1btGhRlUdHREREVNaOffKqJHld/SY9fqzidX9l+0mKefZm9zv+mO2V5e5/AS8f5PpTbe9ie5cZM2YM59ERERERdfX2uvLWKqoMvLhY0iXAWeX+O4EL610kaQaw2vaTkiYD+wNf7VdmY9sPlrsHAbdWjjwiIiJiBJjWqqGrqsrAi09KeivwyvLQqbZ/XuHeGwNnSOqmqPn7qe0LJJ0IzLM9F/iIpIOANcDjwHvW5ktERERErLUWa4atqkpNHrbPA84bzo1t3wS8bIDjx9V8/gzwmeHcNyIiImJkmd42zPIGTfIkLWXgKU9EMUPKug2LKiIiIqKJ3IYrXgya5Nlep5mBRERERIyGok9eB9XkRURERHQEt+fatUnyIiIiouOlJi8iIiKizfSteNFukuRFREREx2vDirwkeRERERGttJJFVUnyIiIioqPZTp+8iIiIiHbUUfPkRURERHSKjlrxIiIiIqJTpLk2IiIios3YGXgRERER0ZbasCIvSV5ERESEU5MXERER0V5s09PTfsNrk+RFREREx0tNXkRERES7MbRhjpckLyIiIjqbSU1eRERERBvKsmYRERER7Sfz5EVERES0p9TkRURERLSZ9MmLiIiIaEduzySva7QDiIiIiBhdptfVt3okzZZ0u6Q7JR07wPkPSLpZ0nxJV0rarubc30m6WtLCssyk8vjl5T3nl9vz6sWRmryIiIjoaAZ6R2jFC0ndwBxgf+B+4DpJc23fUlPsTNvfKcsfBJwCzJY0DvgRcITtGyVtBKyuue5w2/OqxpIkLyIiIjrbyI6u3Q240/bdAJLOBg4G/prk2V5SU35qEQEArwNusn1jWe6x5xJIkryIiIjoeCPYJ29T4L6a/fuB3fsXkvQh4OPABGDf8vC2gCVdAswAzrZ9Us1lp0vqAc4DvuQ6Q4LTJy8iIiI6XDEZctUNmC5pXs121LCfaM+x/ULg08DnysPjgL2Aw8tf3yzpteW5w23vCOxdbkfUe0Zq8iIiIqKj2eDeYfXJe9T2LoOcewDYvGZ/s/LYYM4Gvl1+vh+4wvajAJIuBHYG/tv2A0WsXirpTIpm4R8MFWRq8iIiIqLj9fa68lbHdcA2kraSNAE4BJhbW0DSNjW7BwJ3lJ8vAXaUNKUchPFq4BZJ4yRNL68dD/w9sKBeIKnJi4iIiI43Uite2F4j6WiKhK0bOM32QkknAvNszwWOlrQfxcjZJ4Ajy2ufkHQKRaJo4ELbv5I0FbikTPC6gd8A360XS5K8iIiI6Gz2iE6GbPtC4MJ+x46r+XzMENf+iGIaldpjTwEvH24cSfIiIiKio2VZs4iIiIg21euRmQx5LEmSFxFjhm0W3r6Ec+Y+wL33L2fihC5eu/fzOOC1L2CdaflxFRGNYZveNUnyKivXWrsCmFg+51zbXxik7FuBc4Fdh7NcR0S0j6dX9PDpLy7gltuXsHJVL319oO+65ylO/eGfOPHT2/GKXTca3SAjom2N1MCLsaSRU6isBPa1vRMwi2JNtj36F5K0DnAMcE0DY4mIMcw2n/nSAhbcupgVK/+W4AGsWNnLipW9fP4rt7DgtiWD3yQiYm0Zent7K2+tomFJngvLyt3x5TZQmvxF4KvAikbFEhFj2613LGXBbUtYtXrw/0mvXNXLt79/dxOjiohO4l5X3lpFQydDltQtaT7wCHCp7Wv6nd8Z2Nz2rxoZR0SMbef+8gFWrqr/v+Nb/7iURx5d2YSIIqKTGGP3Vt5aRUOTPNs9tmdRLOmxm6Qd+s5J6gJOAT5R7z6SjupbH27RokWNCzgiRsW99y+nSneY8ePFQ4+k0j8iRphTk7fWbD8JXAbMrjm8DrADcLmke4A9gLmSnrUWnO1Tbe9ie5cZM2Y0I+SIaKLJk7orlbNh4oSsxhgRIy9J3jBImiFp/fLzZGB/4La+87YX255ue6btmcDvgYMyujai8+z3qhlMmlj/x9G4bvHCraY1IaKI6Cym172Vt1bRyP8SbwxcJukmijXYLrV9gaQTJR3UwOdGRIt53WtegKQhy0yc0MXbD9qUcd1Dl4uIGC63aXNtw+bJs30T8LIBjh83QHFsv6ZRsUTE2DZlcjdf/uz2HPulBaxc+ez/JU+c2MV226zDEW/fYhSii4hO4BaaGqWqTCEfEWPCrrM2YM5XZvGdM+7mpoWLGT++i97eYrDFOw/ejMPfujnjxqU/XkQ0gE1vT89oRzHikuRFxJjxkhetw9e/uBOPPbGKhxetYML4LrbaYirdaaKNiAYy0NtCzbBVJcmLiDFnow0msNEGE0Y7jIjoFE5zbUREREQbaq0BFVUlyYuIiIiO10orWVSVJC8iIiI6WzmFSruRq6wlNIZIWgTcO9pxNNB04NHRDmKU5R3kHfTJe8g7gLyDPu38Hra0PWpLWkm6mOL9VvWo7dn1i42ulkvy2p2kebaftbRbJ8k7yDvok/eQdwB5B33yHmK4MulURERERBtKkhcRERHRhpLkjT2njnYAY0DeQd5Bn7yHvAPIO+iT9xDDkj55EREREW0oNXkRERERbShJXkREREQbSpI3yiT9RNL8crtH0vwBykySdK2kGyUtlHTCaMTaKBXfweaSLpN0S/kOjhmNWBulyjsoy50m6RFJC5odYzMM4z3MlnS7pDslHdvsOBtN0ocl3Vb+WT9pkDLHSFpQlvlos2NstIrv4GPl+QWSzpI0qdlxNlq99yDpxTV/Z+ZLWtKOfx5i7WTFi1Fm+519nyWdDCweoNhKYF/byySNB66UdJHt3zcrzkaq+A7WAJ+wfYOkdYDrJV1q+5ZmxdlIFd8BwPeBbwI/aEJYTVflPUjqBuYA+wP3A9dJmtsufxYk7QMcDOxke6Wk5w1QZgfg/cBuwCrgYkkX2L6zudE2RsV3sCnwEWA7209L+ilwCMXfkbZQ5T3Yvh2YVZbvBh4Aft7UQGPMSk3eGCFJwDuAs/qfc2FZuTu+3NpuxEydd/Cg7RvKz0uBW4FNmxth4w31DgBsXwE83tSgRkGd97AbcKftu22vAs6m+IewXfwz8BXbKwFsPzJAmZcC19hebnsN8D/AW5oYY6NVeQdQVFRMljQOmAL8pUnxNUvV99DntcBdttt5VagYhiR5Y8fewMO27xjopKTusunqEeBS29c0NbrmGPId9JE0E3gZ0LHvoAMM9R42Be6r2b+f9kr4twX2lnSNpP+RtOsAZRaUZTaSNAV4A7B5U6NsrLrvwPYDwNeAPwMPAott/7rJcTZalT8LtQ5hkP8gRmdKc20TSPoN8IIBTn3W9i/Kz4cyxF9O2z3ALEnrAz+XtIPtlumXNRLvoLzPNOA84KO2l4xslI01Uu+g1eU9DP0OKH4ubwjsAewK/FTS1q6Z78r2rZK+CvwaeAqYD/Q0PPAR9FzfgaQNKGpwtwKeBM6R9C7bP2p48CPoub6HmvtMAA4CPtPAcKPFJMlrAtv7DXW+bGp4C/DyCvd6UtJlwGyK/823hJF4B2V/xPOAH9v+2chG2Hgj+eeglY3Ae3iAZ9ZabVYeaxlDvQNJ/wz8rPyH/FpJvRQLpy/qd4/vAd8rr/kyRY1myxiBd7Af8Cfbi8prfga8AmipJG8k/iyUDgBusP1wYyKNVpTm2rFhP+A22wP+kJY0o6zBQ9Jkig7ntzUxvmao9w5E8Q/arbZPaWpkzTPkO+gg9d7DdcA2krYqay8OAeY2LbrGOx/YB0DStsAE4NH+hfo64UvagiIpPrOJMTZalXfwZ2APSVPKnw+vpeir204q/VkotXXtd6ydJHljw7P6UUjaRNKF5e7GwGWSbqL4B+5S2xc0OcZGq/cOXgkcAexbM1XAG5odZIPVewdIOgu4GnixpPslvbfJMTbDkO+hHGhwNHAJxT/qP7W9sOlRNs5pwNYqpsk5GzjStvv/WQDOk3QL8EvgQ7afHI1gG6TuOyj7JZ8L3ADcTPHvWbst+1Xpz4KkqRT/+W+5Fo5orCxrFhEREdGGUpMXERER0YaS5EVERES0oSR5EREREW0oSV5EREREG0qSFxEREdGGkuRFdChJy+qXqnSf70t620jca4hnbCLp3EY+Y4BnzpR0WDOfGRExkpLkRcSYUK50MSDbf7E94onkUM8EZgJJ8iKiZSXJi+hwKvybpAWSbpb0zvJ4l6RvSbpN0qWSLqxXYyfp5eVC6tdLukTSxuXx90u6TtKNks6TNKU8/n1J35F0DXBSuf8NSf8r6e6+55W1agvKz++R9DNJF0u6Q9JJNc9/r6Q/SrpW0nclfXOAGI+X9ENJVwE/LO/9O0k3lNsryqJfoVgcfr6kj0nqLt/TdZJukvRPz/3tR0Q0TtaujYi3ALOAnSjWxbxO0hUUq4zMBLYDnkexusRpg92kXFv4P4CDbS8qk8X/A/wjxfqb3y3LfQl4b1kWirVnX2G7R9L3KVZ42Qt4CcVyZQM1084CXgasBG6X9B9AD/B5YGdgKfBb4MZBwt0O2Mv202XCub/tFZK2oVhtYxfgWOBfbP99GfdRwGLbu0qaCFwl6de2/zTYO4mIGE1J8iJiL+As2z3Aw5L+B9i1PH6O7V7gIUmX1bnPi4EdgEuLpUTpBh4sz+1QJnfrA9MoliTrc0757D7nl8+8RdLzB3nWf9teDFAu7bUlRYL6P7YfL4+fA2w7yPVzbT9dfh4PfFPSLIpEcbBrXgf8XU1t5nrANkCSvIgYk5LkRcRIEbDQ9p4DnPs+8CbbN0p6D/CamnNP9Su7st89B1Jbpofh/yyrfebHgIcpajK7gBWDXCPgw7YvGeR8RMSYkj55EfE74J1ln7MZwKuAa4GrgLeWffOezzMTs4HcDsyQtCcUzbeSti/PrQM8WDbpHt6ILwFcB7xa0gblgIq3VrxuPeDBsvbwCIoaSCiafNepKXcJ8M/ld0DStuXC8BERY1Jq8iLi58CeFP3XDHzK9kOSzgNeC9wC3AfcACwe7Ca2V5VNmd+QtB7Fz5evAwsp+spdAywqf11nsPusLdsPSPoyRYL6OHDbUPHW+BZwnqR3Axfzt1q+m4AeSTdS1ET+O0UfxRtUtEcvAt40kt8hImIkyfZoxxARY5SkabaXSdqIInl6pe2HRjuuwdTEO44ieT3N9s9HO66IiNGQmryIGMoFktYHJgBfHMsJXul4SfsBk4BfA+ePcjwREaMmNXkR0VDlQIv32d6r3F8G/J3tu+uVXYtnXQScbfuMtY84IqI9ZOBFxAiRdJikeZKWSXpQ0kWS+hKb4yX9qKasJT1Vll0m6cmac68pz3+63/1nlsf7rrlH0rF1YvqiigmO10g6fpCY7y1jOV/Shs/5RdRhe9pACd5w9X+n5b0PSIIXEVFIkhcxAiR9nGKQwZeB5wNbUHToP3iIy3YqE55pttevOX4kxcCBdw9y3fq2pwFvAz4vaf8hnnEn8CngVwPEvD3wnxQjSp8PLC9jjjFGQy+/FhExoCR5Ec9ROZL0ROBDtn9m+ynbq23/0vYnh3mvqRTJ24eAbSTtMlhZ2/MoRq7OGqLMGbYvopgOpL/DgV/avsL2MooRsG+R9KyRr5K+Lelr/Y79okxukXSspLskLZV0i6Q3D/EdLelF5eeNJM2VtETStcAL+5X9d0n3leevl7R3eXw28K8UU78sK0fAIulySe8rP3dJ+lxZU/mIpB+Uv1e1taJHSvqzpEclfXaImA+U9Icyjvv614pK2kvFUmxPluffUx6fLOnkMobFkq4sj71G0v397nFP2Z+wr5byXEk/krQEeI+k3SRdXT7jQUnflDSh5vrtVSw/97ikhyX9q6QXSFpeDpzpK7ezpEUqp4KJiPaVJC/iuduToqP/SIzifAuwDDiHYl62IwcrKGkPihUm7lzLZ21PzbJftu8CVjHwig9nUSRUKp+9AcUKEGeX5+8C9qaYc+4E4Ecq162tYw7F5MMbUyx/9o/9zl9HkcRuCJwJnCNpku2LKWpNf1LWhO40wL3fU277AFtTrLTRfy3bvShW6ngtcJyklw4S51MUNavrAwdSzJf3JgBJWwIXUSzTNqOMd3553deAlwOvKL/Dp4DeQd/GMx1MsaTb+sCPKSZ9/hjFyh57ljF/sIxhHeA3FFPAbAK8iGJVkIeAy4F31Nz3CIp+i6srxhERLSpJXsRztxHwqO01w7zuhrJW5klJ3yiPHUmRuPRQJDWHDFDj8qikp4GrKZpX13YE6TSePY/cYgaew+53FHPo7V3uvw242vZfAGyfY/svtntt/wS4A9htqIdL6qaYsPi4svZzAfCM/nS2f2T7MdtrbJ8MTKRIyqo4HDjF9t1lTeVnKN5nbdPnCbaftn0jRcI7ULKI7ctt31x+v5sokt5Xl6cPA35j+6yyBvcx2/MldVEkrcfYfsB2j+3/tb1yoGcM4Grb55fPfNr29bZ/X76Leyia2vti+HvgIdsn215he6nta8pzZwDvgr++80OBH1aMISJaWJK8iOfuMWD6WvSb2tn2+uX2EUmbU9Q6/bg8/wuKGsID+103nSJB+wTFKhR9KzAsrBmUsTf1LQPW7XdsXQZo2nUxDP9sigQBisSmL04kvVvS/L6klaKGcXqd58+gmMbpvppj99YWkPQvkm4tmzqfpKgprHffPpv0u9+95fNq18OtnRJmOcV7fRZJu0u6rGzmXAx8oCaOzSlqMvubTvH7N9C5KmrfS98KGxdIeqhswv1yhRig+HO0naStgP2BxbavXcuYIqKFJMmLeO6uplhL9bmufnAExd/JX0p6CLibIkl4VpNtWSt0CkVT5wfLY9vXDOT4XYXnLaSm5krS1hQ1ZX8cpPxZwNvK5sndgfPK67YEvgscDWxUDiJZwODrzvZZBKyhSFD6bFETz94UzZvvADYo77u45r715n/6C7Blv3uvoVindrjOBOYCm9teD/hOTRz30a8vYelRit+fgc49BUzp2ylr2Gb0K9P/+32bYhWPbWyvS9EnsTaGrQcK3PYK4KcUtXlHkFq8iI6RJC/iObK9GDgOmCPpTZKmqFi39QBJJw3jVkdS9GebVbO9FXhDbcf5fr4CfErSpIFOlnFMovi7Pk7SpDKhgKIm7o2S9lYx4ONE4Ge2Bxqkge0/UCQu/wVcYrtv2pepFAnJovKZ/0BRkzekskn6ZxQTGE+RtB3PTGjXoUjKFpWxH8czax4fBmaWzaIDOQv4mKStJE3jb334htus3hfL47ZXSNqNoiazz4+B/SS9Q9I4FYNJZpVr4Z4GnCJpExVrA+8pqS+RnlQO6BgPfI4iwa4XwxJgmaSXAP9cc+4CYGNJH5U0UdI6knavOf8Div6JB5EkL6JjJMmLGAFlf7GPU/xjvYiiZuVoKvaXKwdRbAnMsf1QzTaXYmDFoYNc+ivgCeD9g5z/LvB0ef1ny89HlDEvpGh2/DHwCEUS8cE6oZ4J7Ff+SnmfW4CTKWo0HwZ2BK6qc58+R1M0kT5EsT7s6TXnLqEYSPBHiqbWFTyzCfOc8tfHJN0wwL1Po0horgD+VF7/4Ypx9fdB4ERJSykS+p/2nbD9Z+ANFM3nj1MMuuirIf0X4GaKASSPA18Fusr/GHyQImF+gKJm7xmjbQfwLxTJ5VKK39ef1MSwlKIp9o0U7/IOiqb/vvNXUQz4uMH2M5rEI6J9ZcWLiIgOIOm3wJm2/2u0Y4mI5kiSFxHR5iTtClxK0adwwOb4iGg/aa6NiGhjks6gmEPvo0nwIjpLavIiIiIi2lBq8iIiIiLaUMstej19+nTPnDlztMOIiIiIEXL99dc/arv/XJFN8/KuqV7insrl72TlJbZnNzCkEdFySd7MmTOZN2/eaIcRERERI0TSqE7ts8Q9fH3clvULlv5+zR+rrrwzqlouyYuIiIgYUQKNr7dIT421mVJ9FCTJi4iIiI4mia5xw0jyWkSSvIiIiOhsXdA9ubt+uT4tMhlRkryIGFNWPPAwfz79HJbdchfd0ybzgje9jue9fm/UPYwfwBERwzHc5toWkSQvIsYE9/Sw4MMncP8Pfg5A78pVADx4zsWMmzaFXX/xn6y38/ajGWJEtKl2ba7NPHkRMSbc9E+f44Ef/4Lelav+muAB9Cx7ipUPLeLq1x7BstvuGsUII6JtlTV5VbdWkSQvIkbd0lvv4i8/vZCe5SsGLdPz1HJu/cy/NTGqiOgYgq5xqry1ijTXRsSou2fOD+ldvXroQjaPXnoVKxc9zsQZGzYnsIjoCALU3TrJW1VJ8iJi1C2+fgGsqT/bfNekiTx1xz1J8iJiZAm62jDJS3NtRIy6rvEV/79p0zUu/zeNiJEm1FV9q3s3abak2yXdKenYAc5/QNLNkuZLulLSduXxCZJOL8/dKOk15fEpkn4l6TZJCyV9pcq3SpIXEaPueQfuQ9fkiXXLuaeXdXbctgkRRURHEai7q/I25K2kbmAOcACwHXBoXxJX40zbO9qeBZwEnFIefz+A7R2B/YGTJfU98Gu2XwK8DHilpAPqfa0keREx6rZ479vBQ5fRxPFs/g9vpXvypOYEFREdQxTNtVW3OnYD7rR9t+1VwNnAwbUFbC+p2Z3K334Cbgf8tizzCPAksIvt5bYvK4+vAm4ANqsXSJK8iBh1E6ZvyA5zjqdrkASua8IEpmyxKdue8NEmRxYRHUGie3xX5a2OTYH7/n979x5mV1nf/f/9yeRIOGqichSQiEaoAcNJrRWEX1Eq+IgHoFpsVdQfUUR/fYRKqdI+tdLKT1tTvVLl0AOkGERTGjmoUAQVEjAkJICEgBBAE4QEApLDzOf5Y62BzTAzew3svWf23p/Xda0re93rXmt997omk2/ue933XbO/piwbcEudKukeipa8T5XFtwHHShovaS/gDcDuA87bEXgn8KN6gSTJi4gxYfc/eTcH/Pt5TNlzV3q23Yae7aYyfvttGTd5Eq84/g95088WMGH7bUc7zIjoQFIxurbqBkyTtKRmO2Wk97Q91/argM8BZ5XF51MkhUuArwI/BZ4ZlSZpPHAJ8I+2V9e7R95gjogx4xXHvo2Xv/MI1t+8jKfufYCeyZN46R8czISddhjt0CKiw2nciNq9HrE9e4hjD/Lc1rfdyrKhzAe+AWB7K3D6MzFJPwV+WVN3HnC37a9WCTJJXkSMKZLY6ZDXs9Mhrx/tUCKiW4hKo2YrWgzMKLtbHwROAE56zu2kGbbvLnePAe4uy7cBZPtJSUcBW22vLI/9DbAD8JGqgSTJi4iIiC5XaUBFJba3SpoDXAX0AOfbXiHpHGCJ7YXAHElHAluAx4CTy9NfBlwlqY8iQfwggKTdgM8DdwK3SgL4uu1vDRdLkryIiIjoampsSx62FwGLBpSdXfP5tCHOuw/Yd5DyNRSDgEckSV5ERER0vRG+k9cWkuRFREREd2twS95YkSQvIiIiulzj3skbS5LkRURERFdr9Dt5Y0WSvIiIiOhugnHje0Y7ioZLkhcRERFdTmnJi4iIiOhESfIiIiIiOkzxTl6mUImIiIjoOBldGxEREdFplHfyIiIiIjpSumsjIiIiOkzmyYuIiIjoUEnyIiIiIjqNlMmQIyIiIjqP8k5eREREREdSumsjIiIiOkoGXkRERER0qHTXRkRERHSaTIYcERER0Zk6sSWv875RRERExAhpnCpvda8lHS3pLkmrJJ0xyPGPS1ouaamkGyTNLMsnSrqgPHabpLfWnPOGsnyVpH+U6o8UaVqSJ2mypJvLIFdI+uIgdfaQdK2kX0haJukdzYonIiIiYjD9Ay8akeRJ6gHmAm8HZgIn9idxNS62vb/tWcC5wHll+UcBbO8PHAV8RVJ/rvaN8viMcju63vdqZkveJuAI268HZgFHSzp0QJ2zgEttHwCcAPxzE+OJiIiIGIRg3Ljq2/AOBlbZXm17MzAfOK62gu3Ha3anAi4/zwR+XNZZC6wHZkvaGdje9s9tG/hX4F31AmnaO3llEBvL3Qnl5oHVgO3LzzsADzUrnoiIiIhBCcb1NGzFi12BB2r21wCHPO+W0qnAZ4CJwBFl8W3AsZIuAXYH3lD+2Vdep/aau9YLpKnv5EnqkbQUWAtcY/umAVW+AHxA0hpgEfDJIa5ziqQlkpasW7eumSFHRERE16neVVt2107rz0vK7ZSR3tH2XNuvAj5H0bMJcD5FArcE+CrwU6D3hX6rpo6utd0LzJK0I3C5pP1s315T5UTgQttfkXQY8G9lnb4B15kHzAOYPXv2wNbAiIiIiBdOVOmGrfWI7dlDHHuQovWt325l2VDmU7xvh+2twOnPhCX9FPgl8Fh5narXBFo0utb2euBanv+S4IeBS8s6PwMmA9NaEVNEREREvwaOrl0MzJC0l6SJFGMOFj7nXtKMmt1jgLvL8m0kTS0/HwVstb3S9sPA45IOLUfV/gnw/XqBNK0lT9J0YIvt9ZKmUIwS+fKAavcDbwMulPRaiiQv/bERERHRMkI8O4j1xbG9VdIc4CqgBzjf9gpJ5wBLbC8E5kg6EthC0Up38SQ56gAAIABJREFUcnn6y4CrJPVRtNR9sObS/y9wITAF+EG5DauZ3bU7AxeVQ4nHUYyivWLAl/ws8C+STqcYhPGhcsBGRERERGsIaOCKF7YXUYw1qC07u+bzaUOcdx+w7xDHlgD7jSSOZo6uXQYcMEh57ZdcCbypWTFEREREVNGJK15kWbOIiIjoelm7NiIiIqLTFEtejHYUDVc3yZP0Jor57F5Z1hfFXMd7Nze0iIiIiNbo1pa8b1PM2XILL2JCvoiIiIixSBJq3IoXY0aVJG+D7brDdCMiIiLaVjcNvJB0YPnxWkl/D3wX2NR/3PatTY4tIiIioiW6rbv2KwP2a5fvMM8uphsRERHRvrpt4IXtwwEk7W17de0xSRl0EREREZ2jA1vyqqStCwYp+06jA4mIiIgYLdK4ylu7GO6dvNcArwN2kPTumkPbU6wxGxEREdH+Grys2Vgx3Dt5+wJ/BOwIvLOm/Ango80MKiIiIqJ11F3Lmtn+PvB9SYfZ/lkLY4qIiIhoLXVXS16/kySdOKBsA7CkTAQjIiIi2pfornnyakwCXsOzgy2OB+4FXi/pcNufblZwEREREc3XvSte/B7wJtu9AJK+AfwEeDOwvImxRURERDSf6K558mrsBGxL0UULMBV4ie1eSZuGPi0iIiKiHajrRtf2OxdYKuk6ilz3LcDfSpoK/LCJsUVEREQ0naCt5r+rqm6SZ/vbkhYBB5dFf2H7ofLznzctsoiIiIhW6MJ58mqNA9aV9feRtI/t65sXVkRERESrdNnatf0kfRl4P7AC6CuLDSTJi4iIiM7QwHnyJB0NfA3oAb5l++8GHP84cCrQC2wETrG9UtIE4FvAgRQ52r/a/lJ5zunARyhysOXAn9p+erg4qrTkvQvY13YGWURERERnatA8eZJ6gLnAUcAaYLGkhbZX1lS72PY3y/rHAucBRwPvBSbZ3l/SNsBKSZcAW4BPATNt/07SpcAJwIXDfqUK8a4GJozkC0ZERES0DZXdtVW34R0MrLK92vZmYD5wXG0F24/X7E6laJ2j/HOqpPHAFGAz0F93PDClPLYN8BB1VGnJe4pidO2PgGda82x/qsK5EREREWNf4wZe7Ao8ULO/BjhkYCVJpwKfASYCR5TFCygSwocpErnTbT9a1v8H4H7gd8DVtq+uF0iVJG9huUVERER0pnEjWvFimqQlNfvzbM8byQVszwXmSjoJOAs4maIVsBfYhWKe4p9I+iHwGEXytxewHviOpA/Y/vfh7lFlCpWLJE0B9rB910i+QERERMSYJ430nbxHbM8e4tiDwO41+7uVZUOZD3yj/HwScKXtLcBaSTcCsym6ce+1va4IV98F3ggMm+TV/UaS3gksBa4s92dJSsteREREdA6p+ja8xcAMSXtJmkgxQOI5eZOkGTW7xwB3l5/vp+y6LRedOBS4syw/VNI2kgS8DbijXiBVumu/QNF8eB2A7aWS9q5wXkRERER7aNA8eba3SpoDXEUxhcr5tldIOgdYYnshMEfSkRSjZh+j6KqFYlTuBZJWUEzRfIHtZQCSFgC3AluBXwB1u4erJHlbbG/QczPXvqEqR0RERLSVkXfXDsv2ImDRgLKzaz6fNsR5GymmURns2F8BfzWSOKokeSvKlwJ7yubFTwE/HclNIiIiIsa0Bk6GPFZUSVs/CbyOYvqUi4ENwKebGVRERERESzVunrwxY9iWvHLW5v+2fTjw+daEFBEREdFKlQZUtJ1hkzzbvZL6JO1ge0OrgoqIiIhoGdHQd/LGiirv5G0Elku6BniyvzArXkREREQnMOBua8krfbfcanmwihERL9ZTm8w9v4ENT8H4Htj9pbDLTqAO/AUcEWOFYFyVlKi9VPlGO9r+Wm2BpEGH/kZEvFB9NotXwT2/6d8v/rxvLUwYD4e/zrxk2yR6EdEcndiSV6UD+uRByj5U7yRJkyXdLOk2SSskfXGQOv+/pKXl9ktJ6yvEExEd6Ka7YfXaIrnrq+kr2NoHv9sMVy+DDU+lEyEimkDqrtG1kk6kWENtrwHLmG0PPFrh2puAI2xvlDQBuEHSD2z/vL+C7dNr7vdJ4ICRfoGIaH8bnjL3rYPeYaZZ39oLv7gX3vq61sUVEV2kA1vyhuuu/SnwMDAN+EpN+RPAsnoXtm2KQRsAE8ptuP+Gn8gIZ3KOiM5w50PQV2EdnYceg6c3m8kTO++XcUSMsm4aXWv7V8CvyrXVfme7T9KrgdcAy6tcvJxn7xZgH2Cu7ZuGqPdKYC/gx0McPwU4BWCPPfaocuuIaCOPPlFtNFfPOHjiaZg8sekhRURXUde+k3c9MFnSrsDVwAeBC6tc3Hav7VnAbsDBkvYbouoJwALbvUNcZ57t2bZnT58+vcqtI6KNjBvB79YO/D0cEaNNdOQ7eVUile2ngHcD/2z7vRTLnFVmez1wLXD0EFVOAC4ZyTUjonPs+pKila4eG3bcpvnxRET3scZV3tpFpSRP0mHAHwP/XZb1VDhpuqQdy89TgKOAOwep9xpgJ+BnVYOOiM6yz87164wTvOrlML4nTXkR0WjlsmZVtzZRJck7DTgTuNz2Ckl7U7TK1bMzcK2kZcBi4BrbV0g6R9KxNfVOAOaXAzUiogtNniAOetXQrXnjBFMnwev3bGlYEdFFOrElr+5kyLavp3gvr39/NVB3STPbyxhkShTbZw/Y/0KVQCOis+3zCjFxvLllNWzaQvEfa4ppVfaYBgfvAxPHt8//oCOijUgwrm4nZdvpvDU8IqJt7TFN7P5S88gTsPHpomXv5TvApAlJ7iKiebp57dqIiJaRxPTtYfr2ox1JRHSVNuqGrSpJXkRERHQ904UteZKmAx8F9qytb/vPmhdWRERERKuorQZUVFXlG30f2AH4IcUUKv1bRERERGdo4GTIko6WdJekVZLOGOT4xyUtl7RU0g2SZpblEyRdVB67Q9KZNefsKGmBpDvLY4fVi6NKd+02tj9XoV5ERERE+1HjBl6US7rOpZgfeA2wWNJC2ytrql1s+5tl/WOB8ygWjHgvMMn2/pK2AVZKusT2fcDXgCttv0fSRKDu1PBVWvKukPSOEXy/iIiIiLbhsru2QfPkHQyssr3a9mZgPnDcc+5nP16zO5Vnl+82MFXSeGAKsBl4XNIOwFuAb5fnby5XExtW1cmQr5D0tKQnyu3xumdFREREtIvGrXixK/BAzf6asmzA7XSqpHuAc3l2/uEFwJPAw8D9wD/YfhTYC1gHXCDpF5K+JWlqvUDqJnm2t7M9zvbk8vN2tjO5QURERHSMEbbkTZO0pGY7ZcT3s+fafhXwOeCssvhgoBfYhSKx+2y50th44EDgG7YPoEgEn/eu30CVplAp+4vfUu5eZ/uKkXyRiIiIiLFL9GlEK148Ynv2EMceBHav2d+tLBvKfOAb5eeTKN672wKslXQjMJti5bE1tm8q6y2gQpJXtyVP0t9RdNmuLLfTJH2p3nkRERERbUE0srt2MTBD0l7lAIkTgIXPuZ00o2b3GODu8vP9wBFlnanAocCdtn8NPCBp37Le2yhysmFVacl7BzDLdl9504uAXwBnDntWRERERFsQrjRMoT7bWyXNAa4CeoDzba+QdA6wxPZCYI6kI4EtwGPAyeXpcyneu1tBkXpeYHtZeeyTwH+UieNq4E/rxVJ1xYsdgUfLzztUPCciIiJizGv02rW2FwGLBpSdXfP5tCHO20gxjcpgx5ZSdN1WViXJ+xLwC0nXUmSVb6FCP3BEREREu+jEFS/qJnm2L5F0HXBQWfS5sm84IiIioiN01dq1kl5j+05JB5ZFa8o/d5G0i+1bmx9eRERERLN15tq1w7XkfQY4BfjKIMdMOfojIiIiot018p28sWLIJM92/8R+b7f9dO0xSZObGlVEREREi5jO7K6t0jb504plEREREe1HDV27dswY7p28V1CstTZF0gHwTIq7PbBNC2KLiIiIaIkRrnjRFoZ7J+8PgQ9RLMdxXk35E8BfNDGmiIiIiJbqxO7a4d7Juwi4SNLxti9rYUwRERERLeMuHF0LgO3LJB0DvA6YXFN+TjMDi4iIiGiVrmrJ6yfpmxTv4B0OfAt4D3Bzk+OKiIiIaJlOnEKlStvkG23/CfCY7S8ChwGvbm5YEREREa1jq/LWLqqsXfu78s+nJO0C/BbYuXkhRURERLSScKV2r/ZSJcm7QtKOwN8Dt1LMGfitpkYVERER0SKdOhlylYEXf11+vEzSFcBk2xuaG1ZERERE63Rikle3bVLSPZI+DmB7k+0NZbIXERER0QFEH+Mqb+2iSqRbgMMlXSBpYlm2axNjioiIiGipThx4USXJe8r2+4E7gJ9I2oOi+zoiIiKi7fW/k1d1axdVBl4IwPa5km4FrgZe0tSoIiIiIlqonZK3qqokeWf3f7D9Q0l/CJzcvJAiIiIiWqsTk7whu2slvab8+KCkA/s34KVABl5EREREh6j+Pl6Vd/IkHS3pLkmrJJ0xyPGPS1ouaamkGyTNLMsnSLqoPHaHpDMHnNcj6RdVB8AO15L3GeAU4CuDHDNwRJUbRERERIxlBvoa1JInqQeYCxwFrAEWS1poe2VNtYttf7OsfyxwHnA08F5gku39JW0DrJR0ie37yvNOoxgjsX2VWIZM8myfImkccJbtG0f0DYugJwPXA5PK+yyw/VeD1Hsf8AWKZ3yb7ZNGeq+IiIiIF6OB3bUHA6tsrwaQNB84DngmybP9eE39qTw7oNXAVEnjgSnAZuDx8jq7AccA/4eiIa6uYd/Js90n6evAAVUuNsAm4AjbGyVNAG6Q9APbP++vIGkGcCbwJtuPSXrZC7hPRERExAtnGjk1yq7AAzX7a4BDBlaSdCpFsjaRZ3tHF1AkhA8D2wCn2360PPZV4H8D21UNpMoUKj+SdLykEX17FzaWuxPKbeDUKx8F5tp+rDxn7UjuEREREdEII5xCZZqkJTXbKSO+nz3X9quAzwFnlcUHA73ALsBewGcl7S3pj4C1tm8ZyT2qjK79GEWmuVXS0xRTqth23f7gsl/6FmAfimTupgFVXl3WuxHoAb5g+8oRxB8RERHxohjR5xGtZPGI7dlDHHsQ2L1mf7eybCjzgW+Un08CrrS9BVhb5kezKXpUj5X0DmAysL2kf7f9geGCrPuNbG9ne5ztiba3L/crvfBnu9f2LIoveLCk/QZUGQ/MAN4KnAj8i6QdB15H0in92fK6deuq3DoiIiKisgaOrl0MzJC0V7lS2AnAwtoK5etq/Y4B7i4/30/ZdStpKnAocKftM23vZnvP8no/rpfgQbWWPCTtRJGMTe4vs319lXPLuuslXUsxcuT2mkNrgJvKjPVeSb8s77N4wPnzgHkAs2fPzmobERER0VB9DbqO7a2S5gBXUfRSnm97haRzgCW2FwJzJB1JsXTsYzw7//Bc4AJJKyh6Ti+wveyFxlI3yZP0EYohu7sBSymyyp9RZwoVSdOBLWWCN4ViKPGXB1T7HkUL3gWSplF0364e6ZeIiIiIeDEauSat7UXAogFltYtLnDbEeRspplEZ7trXAddViaNKB/RpwEHAr2wfTtEvvL7CeTsD10paRtEyd43tKySdU84JA0WW+1tJK4FrgT+3/dsqgUdEREQ0wkgGXbTTyhhVumuftv20JCRNsn2npH3rnVQ2Lz5v6pUBmawpBnVUmu8lIiIiohka2ZI3VlRJ8taUgyG+B1wj6THgV80NKyIiIqJ12qmFrqq6SZ7t/1V+/EI5eGIHINOcRERERGcw9HXgsM4hkzxJLxmkeHn557bAo4Mcj4iIiGgrpvta8m6h+N6DfWsDezclooiIiIgW66p38mzv1cpAIiIiIkaH6O2mJK+fpLcMVj6SyZAjIiIixirTZS15Nf685vNkisVzb6HOZMgRERER7cLdNPCin+131u5L2h34atMiioiIiGixbht4MZQ1wGsbHUhERETEqOi2KVT6Sfoniu5qKJZBmwXc2sygIiIiIlqlm9/JW1LzeStwie0bmxRPRERERMt16zt5F7UikIiIiIjR0teN7+RJWs6z3bX9NlC08P2N7d82I7CIiIiIVunKljzgB0AvcHG5fwKwDfBr4ELgnYOfFhERETH2GXXtO3lH2j6wZn+5pFttHyjpA80KLCIiIqIlDL19ox1E442rUKdH0sH9O5IOAnrK3a1NiSoiIiKihYwqb+2iSkveR4DzJW1b7j8BfETSVOBLTYssIiIiogVMl86TZ3sxsL+kHcr9DTWHL21WYBERERGt0okDL+p210p6uaRvA/Ntb5A0U9KHWxBbREREREvY1bd2UeWdvAuBq4Bdyv1fAp9uVkARERERrWRDn1V5q0fS0ZLukrRK0hmDHP+4pOWSlkq6QdLMsnyCpIvKY3dIOrMs313StZJWSloh6bQq36tKkjfN9qVAX/EgvJViSpWIiIiIjtColjxJPcBc4O3ATODE/iSuxsW297c9CzgXOK8sfy8wyfb+wBuAj0nak2Kg62dtzwQOBU4d5JrPUyXJe1LSSyknRJZ0KMVkyBEREREdoYHdtQcDq2yvtr0ZmA8c99x7+fGa3ak8u+iEgamSxgNTgM3A47Yftn1ree4TwB3ArvUCqTK69jPAQuBVkm4EpgPvqXBeRERERFsY4ejaaZKW1OzPsz2v/Lwr8EDNsTXAIQMvIOlUihxrInBEWbyAIiF8mGLhidNtPzrgvD2BA4Cb6gU5bJJXNjn+QbntCwi4y/aWeheOiIiIaAeGka548Yjt2S/qnvZcYK6kk4CzgJMpWgF7KcZB7AT8RNIPba8GKKezuwz49IDWwEEN211ruxc40fZW2yts354ELyIiIjpKueJF1a2OB4Hda/Z3K8uGMh94V/n5JOBK21tsrwVuBGZDMSiDIsH7D9vfrfK1qryTd6Okr0v6fUkH9m9VLh4REREx1hUteQ17J28xMEPSXpImAidQvPb2DEkzanaPAe4uP99P2XVbLjpxKHCnJAHfBu6wfR4VVXknb1b55zk1ZebZ/uOIiIiIttao+e9sb5U0h2L6uR7gfNsrJJ0DLLG9EJgj6UhgC/AYRVctFKNyL5C0guIVuQtsL5P0ZuCDwHJJS8u6f2F70XCxVFnx4vAX8B0jIiIi2kYjlzUrk69FA8rOrvk86Dx3tjdSTKMysPwGGPmiuVVa8iIiIiI6V5utZFFVkryIiIjoagb66g+oaDtJ8iIiIqLrdWVLnqR3D1K8AVheDu+NiIiIaGtdmeQBHwYOA64t998K3ALsJekc2//WpNgiIiIims5u7MCLsaJKkjceeK3t3wBIejnwrxRLdFwPJMmLiIiItuYObMqrkuTt3p/gldaWZY9KyuoXERER0fZ6e0c7gsarsuLFdZKukHSypJMpZm2+rpyJef1QJ0maLOlmSbdJWiHpi4PU+ZCkdZKWlttHXvhXiYiIiBi5kax20U4NflVa8k4F3g28udy/CLjMRbvmcBMlbwKOsL2xXG/tBkk/sP3zAfX+0/ackQYeERER0Shd+U6ebUu6AdhMMZXMza7QcV3W2VjuTii3DnyEERER0e7aqYWuqrrdtZLeB9wMvAd4H3CTpPdUubiknnKNtbXANbZvGqTa8ZKWSVogafcRxB4RERHREO5z5a1dVOmu/TxwUP+ceJKmAz8EFtQ70XYvMEvSjsDlkvazfXtNlf8CLrG9SdLHKLqCjxh4HUmnAKcA7LHHHhVCjoiIiKimU6dQqTLwYtyASY9/W/G8Z9heTzHP3tEDyn9re1O5+y3gDUOcP8/2bNuzp0+fPpJbR0RERNTVrQMvrpR0FXBJuf9+YFG9k8oWvy2210uaAhwFfHlAnZ1tP1zuHgvcUTnyiIiIiAbp68CmvCoDL/5c0vHAm8qiebYvr3DtnYGLJPVQtPxdavsKSecAS2wvBD4l6VhgK/Ao8KEX8iUiIiIiXijTXi10VVVpycP2ZcBlI7mw7WXAAYOUn13z+UzgzJFcNyIiIqKh2qwbtqohkzxJTzD4lCeimCFl+6ZFFREREdEypre387K8IZM829u1MpCIiIiI0VB013ZRkhcRERHRFQx9faMdROMlyYuIiIiu14kteSOa7y4iIiKi05hiMuSqWz2SjpZ0l6RVks4Y5PjHJS2XtFTSDZJmluUTJF1UHrtD0plVrzmYJHkRERHR3dy4Zc3KqePmAm8HZgIn9idxNS62vb/tWcC5wHll+XuBSbb3p1gg4mOS9qx4zedJkhcRERFdr4ErXhwMrLK92vZmYD5w3HPv5cdrdqfy7GwmBqZKGg9MATYDj1e55mDyTl5ERER0vRGueDFN0pKa/Xm255WfdwUeqDm2Bjhk4AUknQp8BpgIHFEWL6BI3h4GtgFOt/2opErXHChJXkRERHQ12yMdePGI7dkv8p5zgbmSTgLOAk6maLHrBXYBdgJ+IumHL/QeSfIiIiKi67lxU6g8COxes79bWTaU+cA3ys8nAVfa3gKslXQjMJuiFW8k1wTyTl5EREQEvX19lbc6FgMzJO0laSJwArCwtoKkGTW7xwB3l5/vp+y6lTQVOBS4s8o1B5OWvIiIiOhq9ojfyRvmWt4qaQ5wFdADnG97haRzgCW2FwJzJB0JbAEeo+iqhWIE7QWSVlAsI3uB7WUAg12zXixJ8iIiIqLrNXIuZNuLgEUDys6u+XzaEOdtpJhGpdI160mSFxEREV2v3vx37ShJXkRERHQ12/R14LJmSfIiIiKi66UlLyIiIqIDJcmLiIiI6DSGDszxkuRFREREdzNpyYuIiIjoQCNe1qwtJMmLiIiI7mbo7W3cumZjRZK8iIiI6Grpro2IiIjoRE6SFxEREdGBMhlyREREREdKS15EREREhzFkdG1ERERExzH0pSUvIiIiovOkuzYiIiKi42Qy5IiIiIiOY4P7MhlyRERERMfJihcRERERncbOO3kRERERnaZTlzUbN9oBRERERIy2PvdV3uqRdLSkuyStknTGIMc/Lmm5pKWSbpA0syz/47Ksf+uTNKs8dmJ5zjJJV0qaVi+OJHkRMeb8eu3T3Lp8Pbff+ThbtnTeezIRMcaUa9dW3YYjqQeYC7wdmAmc2J/E1bjY9v62ZwHnAucB2P4P27PK8g8C99peKmk88DXgcNu/BywD5tT7WumujYgxY/kdG5h7/mp+ec9GJkwQNkjwv96+C3/2x3sycUL+XxoRjWca+k7ewcAq26sBJM0HjgNWPnM/+/Ga+lMpeowHOhGYX35WuU2V9Ftge2BVvUCaluRJmgxcD0wq77PA9l8NUfd4YAFwkO0lzYopIsauny35LWd9aSWbNhctd5u3PHvs0v96kFtvX8/XvzQriV5ENMUI58mbJqk2X5lne175eVfggZpja4BDBl5A0qnAZ4CJwBGD3OP9FMkhtrdI+gSwHHgSuBs4tV6QzfxtuQk4wvbrgVnA0ZIOHVhJ0nbAacBNTYwlIsawJ5/ayl9++dkEb6DNm/u4594nueg/f9XiyCKiKxj6+voqb8AjtmfXbPPq3eJ5t7Tn2n4V8DngrNpjkg4BnrJ9e7k/AfgEcACwC0V37Zn17tG0JM+FjeXuhHIbLE3+a+DLwNPNiiUixrYf/Og3g/92qLFpcx+XXfEQW7fmHb2IaLxGvZMHPAjsXrO/W1k2lPnAuwaUnQBcUrM/C8D2PS6aHC8F3lgvkKb2e0jqkbQUWAtcY/umAccPBHa3/d91rnOKpCWSlqxbt66JEUfEaPjxDWt5elP95K2vz6y678kWRBQR3cQ2fb29lbc6FgMzJO0laSJFwrawtoKkGTW7x1B0v/YfGwe8j2ffx4MiSZwpaXq5fxRwR71AmjrwwnYvMEvSjsDlkvaraXocRzGa5EMVrjMPmAcwe/bszpvIJqLLDdVNO5BUdN1GRDRaowZe2N4qaQ5wFdADnG97haRzgCW2FwJzJB0JbAEeA06uucRbgAf6B26U13xI0heB6yVtAX5FhfypJaNrba+XdC1wNHB7WbwdsB9wnSSAVwALJR2bwRcR3WXvV07l7tUbqbd05JYtfezy8smtCSoiuogrzX9X+Wr2ImDRgLKzaz6fNsy51wHPG8Ng+5vAN0cSR9O6ayVNL1vwkDSFomnxzv7jtjfYnmZ7T9t7Aj8HkuBFdKH3/NGulUbN7v/aHZj20kktiCgiuokbOE/eWNLMd/J2Bq6VtIyif/oa21dIOkfSsU28b0S0mX332Y4D9t+RiRM1ZJ3Jk8bxiT/du4VRRUQ3cV9f5a1dNK271vYyiqG+A8vPHqQ6tt/arFgiYuz7mzNm8pdfXskty9azdUsfveXv0SmTxwHibz//Ol6zz3ajGmNEdCh35tq1WfEiIsaESZN6OPfs/bl79UYuu+JB7nvgKSZPGsfbfv9lHPkHL2PK5J7RDjEiOpZxA9/JGyuS5EXEmDJj720541P7jnYYEdFFTDFFU6dJkhcRERHdzbTVu3ZVJcmLiIiILtdeo2arSpIXERER3c1UWcmi7STJi4iIiK5m3JHdtSrWuW0fktZRLOfRqaYBj4x2EKMszyDPoF+eQ54B5Bn06+Tn8Erb0+tXaw5JV1I836oesX10s+JplLZL8jqdpCW2Z492HKMpzyDPoF+eQ54B5Bn0y3OIkWrmihcRERERMUqS5EVERER0oCR5Y8+80Q5gDMgzyDPol+eQZwB5Bv3yHGJE8k5eRERERAdKS15EREREB0qSN8ok/aekpeV2n6Slg9SZLOlmSbdJWiHpi6MRa7NUfAa7S7pW0sryGZw2GrE2S5VnUNY7X9JaSbe3OsZWGMFzOFrSXZJWSTqj1XE2m6RPSrqz/Fk/d4g6p0m6vazz6VbH2GwVn8Hp5fHbJV0iaXKr42y2es9B0r41f2eWSnq8E38e4oXJZMijzPb7+z9L+gqwYZBqm4AjbG+UNAG4QdIPbP+8VXE2U8VnsBX4rO1bJW2pFirPAAAHLUlEQVQH3CLpGtsrWxVnM1V8BgAXAl8H/rUFYbVclecgqQeYCxwFrAEWS1rYKT8Lkg4HjgNeb3uTpJcNUmc/4KPAwcBm4EpJV9he1dpom6PiM9gV+BQw0/bvJF0KnEDxd6QjVHkOtu8CZpX1e4AHgctbGmiMWWnJGyMkCXgfcMnAYy5sLHcnlFvHvUxZ5xk8bPvW8vMTwB3Arq2NsPmGewYAtq8HHm1pUKOgznM4GFhle7XtzcB8in8IO8UngL+zvQnA9tpB6rwWuMn2U7a3Av8DvLuFMTZblWcARUPFFEnjgW2Ah1oUX6tUfQ793gbcY7uTFwyIEUiSN3b8PvAb23cPdlBST9l1tRa4xvZNLY2uNYZ9Bv0k7QkcAHTtM+gCwz2HXYEHavbX0FkJ/6uB35d0k6T/kXTQIHVuL+u8VNI2wDuA3VsaZXPVfQa2HwT+AbgfeBjYYPvqFsfZbFV+FmqdwBD/QYzulO7aFpD0Q+AVgxz6vO3vl59PZJi/nLZ7gVmSdgQul7Sf7bZ5L6sRz6C8zrbAZcCnbT/e2Cibq1HPoN3lOQz/DCh+L78EOBQ4CLhU0t6umQrB9h2SvgxcDTwJLAXaanX1F/sMJO1E0YK7F7Ae+I6kD9j+96YH30Av9jnUXGcicCxwZhPDjTaTJK8FbB853PGyq+HdwBsqXGu9pGuBoyn+N98WGvEMyvcRLwP+w/Z3Gxth8zXy56CdNeA5PMhzW612K8vaxnDPQNIngO+W/5DfLKmPYk3NdQOu8W3g2+U5f0vRotk2GvAMjgTutb2uPOe7wBuBtkryGvGzUHo7cKvt3zQn0mhH6a4dG44E7rQ96C9pSdPLFjwkTaF44fzOFsbXCvWegSj+QbvD9nktjax1hn0GXaTec1gMzJC0V9l6cQKwsGXRNd/3gMMBJL0amMggi9L3v4QvaQ+KpPjiFsbYbFWewf3AoZK2KX8/vI3iXd1OUulnodTRrd/xwiTJGxue9x6FpF0kLSp3dwaulbSM4h+4a2xf0eIYm63eM3gT8EHgiJqpAt7R6iCbrN4zQNIlwM+AfSWtkfThFsfYCsM+h3KgwRzgKop/1C+1vaLlUTbP+cDeKqbJmQ+cbNsDfxaAyyStBP4LONX2+tEItknqPoPyveQFwK3Acop/zzptRYhKPwuSplL857/tejiiubLiRUREREQHSkteRERERAdKkhcRERHRgZLkRURERHSgJHkRERERHShJXkREREQHSpIX0aUkbaxfq9J1LpT0nkZca5h77CJpQTPvMcg995R0UivvGRHRSEnyImJMKFe6GJTth2w3PJEc7p7AnkCSvIhoW0nyIrqcCn8v6XZJyyW9vywfJ+mfJd0p6RpJi+q12El6Q7mQ+i2SrpK0c1n+UUmLJd0m6TJJ25TlF0r6pqSbgHPL/X+U9FNJq/vvV7aq3V5+/pCk70q6UtLdks6tuf+HJf1S0s2S/kXS1weJ8QuS/k3SjcC/ldf+iaRby+2NZdW/o1gcfqmk0yX1lM9psaRlkj724p9+RETzZO3aiHg3MAt4PcW6mIslXU+xysiewEzgZRSrS5w/1EXKtYX/CTjO9royWfw/wJ9RrL/5L2W9vwE+XNaFYu3ZN9rulXQhxQovbwZeQ7Fc2WDdtLOAA4BNwF2S/gnoBf4SOBB4AvgxcNsQ4c4E3mz7d2XCeZTtpyXNoFhtYzZwBvD/2f6jMu5TgA22D5I0CbhR0tW27x3qmUREjKYkeRHxZuAS273AbyT9D3BQWf4d233AryVdW+c6+wL7AdcUS4nSAzxcHtuvTO52BLalWJKs33fKe/f7XnnPlZJePsS9fmR7A0C5tNcrKRLU/7H9aFn+HeDVQ5y/0Pbvys8TgK9LmkWRKA51zv8D/F5Na+YOwAwgSV5EjElJ8iKiUQSssH3YIMcuBN5l+zZJHwLeWnPsyQF1Nw245mBq6/Qy8t9ltfc8HfgNRUvmOODpIc4R8EnbVw1xPCJiTMk7eRHxE+D95Ttn04G3ADcDNwLHl+/mvZznJmaDuQuYLukwKLpvJb2uPLYd8HDZpfvHzfgSwGLgDyTtVA6oOL7ieTsAD5ethx+kaIGEost3u5p6VwGfKL8Dkl5dLgwfETEmpSUvIi4HDqN4f83A/7b9a0mXAW8DVgIPALcCG4a6iO3NZVfmP0rageL3y1eBFRTvyt0ErCv/3G6o67xQth+U9LcUCeqjwJ3DxVvjn4HLJP0JcCXPtvItA3ol3UbREvk1incUb1XRH70OeFcjv0NERCPJ9mjHEBFjlKRtbW+U9FKK5OlNtn892nENpSbe8RTJ6/m2Lx/tuCIiRkNa8iJiOFdI2hGYCPz1WE7wSl+QdCQwGbga+N4oxxMRMWrSkhcRERHRgTLwIiIiIqIDJcmLiIiI6EBJ8iIiIiI6UJK8iIiIiA6UJC8iIiKiAyXJi4iIiOhA/xdnAFrl5hWvFAAAAABJRU5ErkJggg==\\n\",\"text/plain\":[\"<Figure size 720x576 with 4 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}}]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"test\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1611254241689,\"user_tz\":-60,\"elapsed\":1131,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"c7316be2-9b39-4d41-a647-cbc54cfaa5d4\"},\"source\":[\"# Evaluate the best svm on test set\\n\",\"y_test_pred = best_svm.predict(X_test)\\n\",\"test_accuracy = np.mean(y_test == y_test_pred)\\n\",\"print('linear SVM on raw pixels final test set accuracy: %f' % test_accuracy)\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"linear SVM on raw pixels final test set accuracy: 0.372000\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"code\",\"metadata\":{\"tags\":[\"pdf-ignore-input\"],\"id\":\"igUC5XgirApZ\",\"colab\":{\"base_uri\":\"https://localhost:8080/\",\"height\":380},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1611254252865,\"user_tz\":-60,\"elapsed\":3529,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"58078a2d-7cd2-4717-cf48-87aa64c605b7\"},\"source\":[\"# Visualize the learned weights for each class.\\n\",\"# Depending on your choice of learning rate and regularization strength, these may\\n\",\"# or may not be nice to look at.\\n\",\"w = best_svm.W[:-1,:] # strip out the bias\\n\",\"w = w.reshape(32, 32, 3, 10)\\n\",\"w_min, w_max = np.min(w), np.max(w)\\n\",\"classes = ['plane', 'car', 'bird', 'cat', 'deer', 'dog', 'frog', 'horse', 'ship', 'truck']\\n\",\"for i in range(10):\\n\",\"    plt.subplot(2, 5, i + 1)\\n\",\"      \\n\",\"    # Rescale the weights to be between 0 and 255\\n\",\"    wimg = 255.0 * (w[:, :, :, i].squeeze() - w_min) / (w_max - w_min)\\n\",\"    plt.imshow(wimg.astype('uint8'))\\n\",\"    plt.axis('off')\\n\",\"    plt.title(classes[i])\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 720x576 with 10 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}}]},{\"cell_type\":\"markdown\",\"metadata\":{\"tags\":[\"pdf-inline\"],\"id\":\"NHk3CsHkrApa\"},\"source\":[\"**Inline question 2**\\n\",\"\\n\",\"Describe what your visualized SVM weights look like, and offer a brief explanation for why they look they way that they do.\\n\",\"\\n\",\"$\\\\color{blue}{\\\\textit Your Answer:}$ The visualized SVM weights look like a group of quasi-random, non-heterogeneous, pixels. However, we can still identify certain objects, such as the car, the horse or the ship (which forms a bluish image, representing the sea). This is due to the optimization process, which attempts to form a “generalized image” that represents all the training samples of each class, by constantly updating the original weights. \\n\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"g1QbM8DfrApa\"},\"source\":[\"---\\n\",\"# IMPORTANT\\n\",\"\\n\",\"This is the end of this question. Please do the following:\\n\",\"\\n\",\"1. Click `File -> Save` to make sure the latest checkpoint of this notebook is saved to your Drive.\\n\",\"2. Execute the cell below to download the modified `.py` files back to your drive.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"8a5_dOrzrApa\"},\"source\":[\"import os\\n\",\"\\n\",\"FOLDER_TO_SAVE = os.path.join('drive/My Drive/', FOLDERNAME)\\n\",\"FILES_TO_SAVE = ['cs231n/classifiers/linear_svm.py', 'cs231n/classifiers/linear_classifier.py']\\n\",\"\\n\",\"for files in FILES_TO_SAVE:\\n\",\"  with open(os.path.join(FOLDER_TO_SAVE, '/'.join(files.split('/')[1:])), 'w') as f:\\n\",\"    f.write(''.join(open(files).readlines()))\"],\"execution_count\":null,\"outputs\":[]}]}"
  },
  {
    "path": "cs231n/assignment1/two_layer_net.ipynb",
    "content": "{\"nbformat\":4,\"nbformat_minor\":0,\"metadata\":{\"colab\":{\"name\":\"two_layer_net.ipynb\",\"provenance\":[],\"collapsed_sections\":[],\"toc_visible\":true},\"kernelspec\":{\"name\":\"python3\",\"display_name\":\"Python 3\"}},\"cells\":[{\"cell_type\":\"code\",\"metadata\":{\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"id\":\"gkXcwXmjZ3X0\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1611325527724,\"user_tz\":-60,\"elapsed\":25419,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"11e371ea-0ab8-40aa-8df3-bea8175f6e83\"},\"source\":[\"from google.colab import drive\\n\",\"\\n\",\"drive.mount('/content/drive', force_remount=True)\\n\",\"\\n\",\"# enter the foldername in your Drive where you have saved the unzipped\\n\",\"# 'cs231n' folder containing the '.py', 'classifiers' and 'datasets'\\n\",\"# folders.\\n\",\"# e.g. 'cs231n/assignments/assignment1/cs231n/'\\n\",\"FOLDERNAME = 'cs231n/assignments/assignment1/cs231n/'\\n\",\"\\n\",\"assert FOLDERNAME is not None, \\\"[!] Enter the foldername.\\\"\\n\",\"\\n\",\"%cd drive/My\\\\ Drive\\n\",\"%cp -r $FOLDERNAME ../../\\n\",\"%cd ../../\\n\",\"%cd cs231n/datasets/\\n\",\"!bash get_datasets.sh\\n\",\"%cd ../../\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Mounted at /content/drive\\n\",\"/content/drive/My Drive\\n\",\"/content\\n\",\"/content/cs231n/datasets\\n\",\"--2021-01-22 14:25:20--  http://www.cs.toronto.edu/~kriz/cifar-10-python.tar.gz\\n\",\"Resolving www.cs.toronto.edu (www.cs.toronto.edu)... 128.100.3.30\\n\",\"Connecting to www.cs.toronto.edu (www.cs.toronto.edu)|128.100.3.30|:80... connected.\\n\",\"HTTP request sent, awaiting response... 200 OK\\n\",\"Length: 170498071 (163M) [application/x-gzip]\\n\",\"Saving to: ‘cifar-10-python.tar.gz’\\n\",\"\\n\",\"cifar-10-python.tar 100%[===================>] 162.60M  94.7MB/s    in 1.7s    \\n\",\"\\n\",\"2021-01-22 14:25:22 (94.7 MB/s) - ‘cifar-10-python.tar.gz’ saved [170498071/170498071]\\n\",\"\\n\",\"cifar-10-batches-py/\\n\",\"cifar-10-batches-py/data_batch_4\\n\",\"cifar-10-batches-py/readme.html\\n\",\"cifar-10-batches-py/test_batch\\n\",\"cifar-10-batches-py/data_batch_3\\n\",\"cifar-10-batches-py/batches.meta\\n\",\"cifar-10-batches-py/data_batch_2\\n\",\"cifar-10-batches-py/data_batch_5\\n\",\"cifar-10-batches-py/data_batch_1\\n\",\"/content\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"tags\":[\"pdf-title\"],\"id\":\"NcS6as27Z3X4\"},\"source\":[\"# Implementing a Neural Network\\n\",\"In this exercise we will develop a neural network with fully-connected layers to perform classification, and test it out on the CIFAR-10 dataset.\"]},{\"cell_type\":\"code\",\"metadata\":{\"tags\":[\"pdf-ignore\"],\"id\":\"nqMKao9MZ3X5\"},\"source\":[\"# A bit of setup\\n\",\"\\n\",\"import numpy as np\\n\",\"import matplotlib.pyplot as plt\\n\",\"\\n\",\"from cs231n.classifiers.neural_net import TwoLayerNet\\n\",\"\\n\",\"%matplotlib inline\\n\",\"plt.rcParams['figure.figsize'] = (10.0, 8.0) # set default size of plots\\n\",\"plt.rcParams['image.interpolation'] = 'nearest'\\n\",\"plt.rcParams['image.cmap'] = 'gray'\\n\",\"\\n\",\"# for auto-reloading external modules\\n\",\"# see http://stackoverflow.com/questions/1907993/autoreload-of-modules-in-ipython\\n\",\"%load_ext autoreload\\n\",\"%autoreload 2\\n\",\"\\n\",\"def rel_error(x, y):\\n\",\"    \\\"\\\"\\\" returns relative error \\\"\\\"\\\"\\n\",\"    return np.max(np.abs(x - y) / (np.maximum(1e-8, np.abs(x) + np.abs(y))))\"],\"execution_count\":null,\"outputs\":[]},{\"cell_type\":\"markdown\",\"metadata\":{\"tags\":[\"pdf-ignore\"],\"id\":\"5yx-wfAHZ3X6\"},\"source\":[\"We will use the class `TwoLayerNet` in the file `cs231n/classifiers/neural_net.py` to represent instances of our network. The network parameters are stored in the instance variable `self.params` where keys are string parameter names and values are numpy arrays. Below, we initialize toy data and a toy model that we will use to develop your implementation.\"]},{\"cell_type\":\"code\",\"metadata\":{\"tags\":[\"pdf-ignore\"],\"id\":\"G4QhdBfjZ3X6\"},\"source\":[\"# Create a small net and some toy data to check your implementations.\\n\",\"# Note that we set the random seed for repeatable experiments.\\n\",\"\\n\",\"input_size = 4\\n\",\"hidden_size = 10\\n\",\"num_classes = 3\\n\",\"num_inputs = 5\\n\",\"\\n\",\"def init_toy_model():\\n\",\"    np.random.seed(0)\\n\",\"    return TwoLayerNet(input_size, hidden_size, num_classes, std=1e-1)\\n\",\"\\n\",\"def init_toy_data():\\n\",\"    np.random.seed(1)\\n\",\"    X = 10 * np.random.randn(num_inputs, input_size)\\n\",\"    y = np.array([0, 1, 2, 2, 1])\\n\",\"    return X, y\\n\",\"\\n\",\"net = init_toy_model()\\n\",\"X, y = init_toy_data()\"],\"execution_count\":null,\"outputs\":[]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"alqQ0eurZ3X7\"},\"source\":[\"# Forward pass: compute scores\\n\",\"Open the file `cs231n/classifiers/neural_net.py` and look at the method `TwoLayerNet.loss`. This function is very similar to the loss functions you have written for the SVM and Softmax exercises: It takes the data and weights and computes the class scores, the loss, and the gradients on the parameters. \\n\",\"\\n\",\"Implement the first part of the forward pass which uses the weights and biases to compute the scores for all inputs.\"]},{\"cell_type\":\"code\",\"metadata\":{\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"id\":\"pC3c2k7oZ3X7\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1611325550881,\"user_tz\":-60,\"elapsed\":1314,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"992adbe9-134e-4648-b8ac-ddd1d4d9e10c\"},\"source\":[\"scores = net.loss(X)\\n\",\"print('Your scores:')\\n\",\"print(scores)\\n\",\"print()\\n\",\"print('correct scores:')\\n\",\"correct_scores = np.asarray([\\n\",\"  [-0.81233741, -1.27654624, -0.70335995],\\n\",\"  [-0.17129677, -1.18803311, -0.47310444],\\n\",\"  [-0.51590475, -1.01354314, -0.8504215 ],\\n\",\"  [-0.15419291, -0.48629638, -0.52901952],\\n\",\"  [-0.00618733, -0.12435261, -0.15226949]])\\n\",\"print(correct_scores)\\n\",\"print()\\n\",\"\\n\",\"# The difference should be very small. We get < 1e-7\\n\",\"print('Difference between your scores and correct scores:')\\n\",\"print(np.sum(np.abs(scores - correct_scores)))\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Your scores:\\n\",\"[[-0.81233741 -1.27654624 -0.70335995]\\n\",\" [-0.17129677 -1.18803311 -0.47310444]\\n\",\" [-0.51590475 -1.01354314 -0.8504215 ]\\n\",\" [-0.15419291 -0.48629638 -0.52901952]\\n\",\" [-0.00618733 -0.12435261 -0.15226949]]\\n\",\"\\n\",\"correct scores:\\n\",\"[[-0.81233741 -1.27654624 -0.70335995]\\n\",\" [-0.17129677 -1.18803311 -0.47310444]\\n\",\" [-0.51590475 -1.01354314 -0.8504215 ]\\n\",\" [-0.15419291 -0.48629638 -0.52901952]\\n\",\" [-0.00618733 -0.12435261 -0.15226949]]\\n\",\"\\n\",\"Difference between your scores and correct scores:\\n\",\"3.6802720745909845e-08\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"-MI-cibjZ3X8\"},\"source\":[\"# Forward pass: compute loss\\n\",\"In the same function, implement the second part that computes the data and regularization loss.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"QBdUwhy8Z3X8\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1611325555772,\"user_tz\":-60,\"elapsed\":1066,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"25162b63-8088-42bd-81e4-0a4ffa9478d0\"},\"source\":[\"loss, _ = net.loss(X, y, reg=0.05)\\n\",\"correct_loss = 1.30378789133\\n\",\"\\n\",\"# should be very small, we get < 1e-12\\n\",\"print('Difference between your loss and correct loss:')\\n\",\"print(np.sum(np.abs(loss - correct_loss)))\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Difference between your loss and correct loss:\\n\",\"1.7985612998927536e-13\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"suSqxN43Z3X8\"},\"source\":[\"# Backward pass\\n\",\"Implement the rest of the function. This will compute the gradient of the loss with respect to the variables `W1`, `b1`, `W2`, and `b2`. Now that you (hopefully!) have a correctly implemented forward pass, you can debug your backward pass using a numeric gradient check:\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"8aYI0X4pZ3X9\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1611325560049,\"user_tz\":-60,\"elapsed\":965,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"ad3b5b0a-1340-432a-cc77-7dfa6e7e0a1a\"},\"source\":[\"from cs231n.gradient_check import eval_numerical_gradient\\n\",\"\\n\",\"# Use numeric gradient checking to check your implementation of the backward pass.\\n\",\"# If your implementation is correct, the difference between the numeric and\\n\",\"# analytic gradients should be less than 1e-8 for each of W1, W2, b1, and b2.\\n\",\"\\n\",\"loss, grads = net.loss(X, y, reg=0.05)\\n\",\"\\n\",\"# these should all be less than 1e-8 or so\\n\",\"for param_name in grads:\\n\",\"    f = lambda W: net.loss(X, y, reg=0.05)[0]\\n\",\"    param_grad_num = eval_numerical_gradient(f, net.params[param_name], verbose=False)\\n\",\"    print('%s max relative error: %e' % (param_name, rel_error(param_grad_num, grads[param_name])))\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"W2 max relative error: 3.440708e-09\\n\",\"b2 max relative error: 4.447646e-11\\n\",\"W1 max relative error: 3.561318e-09\\n\",\"b1 max relative error: 2.738421e-09\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"wCrkSwt8Z3X9\"},\"source\":[\"# Train the network\\n\",\"To train the network we will use stochastic gradient descent (SGD), similar to the SVM and Softmax classifiers. Look at the function `TwoLayerNet.train` and fill in the missing sections to implement the training procedure. This should be very similar to the training procedure you used for the SVM and Softmax classifiers. You will also have to implement `TwoLayerNet.predict`, as the training process periodically performs prediction to keep track of accuracy over time while the network trains.\\n\",\"\\n\",\"Once you have implemented the method, run the code below to train a two-layer network on toy data. You should achieve a training loss less than 0.02.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"final_training_loss\",\"colab\":{\"base_uri\":\"https://localhost:8080/\",\"height\":530},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1611325567271,\"user_tz\":-60,\"elapsed\":2708,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"9eddb164-e8d7-49f7-b097-2bb40293ed7d\"},\"source\":[\"net = init_toy_model()\\n\",\"stats = net.train(X, y, X, y,\\n\",\"            learning_rate=1e-1, reg=5e-6,\\n\",\"            num_iters=100, verbose=False)\\n\",\"\\n\",\"print('Final training loss: ', stats['loss_history'][-1])\\n\",\"\\n\",\"# plot the loss history\\n\",\"plt.plot(stats['loss_history'])\\n\",\"plt.xlabel('iteration')\\n\",\"plt.ylabel('training loss')\\n\",\"plt.title('Training Loss history')\\n\",\"plt.show()\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Final training loss:  0.017149607938732048\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 720x576 with 1 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"gy6SHA-8Z3X-\"},\"source\":[\"# Load the data\\n\",\"Now that you have implemented a two-layer network that passes gradient checks and works on toy data, it's time to load up our favorite CIFAR-10 data so we can use it to train a classifier on a real dataset.\"]},{\"cell_type\":\"code\",\"metadata\":{\"tags\":[\"pdf-ignore\"],\"id\":\"RrYgFDy6Z3X-\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1611325583954,\"user_tz\":-60,\"elapsed\":3025,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"5feec94c-9d85-40d8-81c0-4d78944cfc9b\"},\"source\":[\"from cs231n.data_utils import load_CIFAR10\\n\",\"\\n\",\"def get_CIFAR10_data(num_training=49000, num_validation=1000, num_test=1000):\\n\",\"    \\\"\\\"\\\"\\n\",\"    Load the CIFAR-10 dataset from disk and perform preprocessing to prepare\\n\",\"    it for the two-layer neural net classifier. These are the same steps as\\n\",\"    we used for the SVM, but condensed to a single function.  \\n\",\"    \\\"\\\"\\\"\\n\",\"    # Load the raw CIFAR-10 data\\n\",\"    cifar10_dir = 'cs231n/datasets/cifar-10-batches-py'\\n\",\"    \\n\",\"    # Cleaning up variables to prevent loading data multiple times (which may cause memory issue)\\n\",\"    try:\\n\",\"       del X_train, y_train\\n\",\"       del X_test, y_test\\n\",\"       print('Clear previously loaded data.')\\n\",\"    except:\\n\",\"       pass\\n\",\"\\n\",\"    X_train, y_train, X_test, y_test = load_CIFAR10(cifar10_dir)\\n\",\"        \\n\",\"    # Subsample the data\\n\",\"    mask = list(range(num_training, num_training + num_validation))\\n\",\"    X_val = X_train[mask]\\n\",\"    y_val = y_train[mask]\\n\",\"    mask = list(range(num_training))\\n\",\"    X_train = X_train[mask]\\n\",\"    y_train = y_train[mask]\\n\",\"    mask = list(range(num_test))\\n\",\"    X_test = X_test[mask]\\n\",\"    y_test = y_test[mask]\\n\",\"\\n\",\"    # Normalize the data: subtract the mean image\\n\",\"    mean_image = np.mean(X_train, axis=0)\\n\",\"    X_train -= mean_image\\n\",\"    X_val -= mean_image\\n\",\"    X_test -= mean_image\\n\",\"\\n\",\"    # Reshape data to rows\\n\",\"    X_train = X_train.reshape(num_training, -1)\\n\",\"    X_val = X_val.reshape(num_validation, -1)\\n\",\"    X_test = X_test.reshape(num_test, -1)\\n\",\"\\n\",\"    return X_train, y_train, X_val, y_val, X_test, y_test\\n\",\"\\n\",\"\\n\",\"# Invoke the above function to get our data.\\n\",\"X_train, y_train, X_val, y_val, X_test, y_test = get_CIFAR10_data()\\n\",\"print('Train data shape: ', X_train.shape)\\n\",\"print('Train labels shape: ', y_train.shape)\\n\",\"print('Validation data shape: ', X_val.shape)\\n\",\"print('Validation labels shape: ', y_val.shape)\\n\",\"print('Test data shape: ', X_test.shape)\\n\",\"print('Test labels shape: ', y_test.shape)\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Train data shape:  (49000, 3072)\\n\",\"Train labels shape:  (49000,)\\n\",\"Validation data shape:  (1000, 3072)\\n\",\"Validation labels shape:  (1000,)\\n\",\"Test data shape:  (1000, 3072)\\n\",\"Test labels shape:  (1000,)\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"QtoT8pEmZ3YB\"},\"source\":[\"# Train a network\\n\",\"To train our network we will use SGD. In addition, we will adjust the learning rate with an exponential learning rate schedule as optimization proceeds; after each epoch, we will reduce the learning rate by multiplying it by a decay rate.\"]},{\"cell_type\":\"code\",\"metadata\":{\"tags\":[\"code\"],\"id\":\"uhoWtkfwZ3YB\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1611325604525,\"user_tz\":-60,\"elapsed\":12228,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"25908672-478e-4438-8322-90685046fa39\"},\"source\":[\"input_size = 32 * 32 * 3\\n\",\"hidden_size = 50\\n\",\"num_classes = 10\\n\",\"net = TwoLayerNet(input_size, hidden_size, num_classes)\\n\",\"\\n\",\"# Train the network\\n\",\"stats = net.train(X_train, y_train, X_val, y_val,\\n\",\"            num_iters=1000, batch_size=200,\\n\",\"            learning_rate=1e-4, learning_rate_decay=0.95,\\n\",\"            reg=0.25, verbose=True)\\n\",\"\\n\",\"# Predict on the validation set\\n\",\"val_acc = (net.predict(X_val) == y_val).mean()\\n\",\"print('Validation accuracy: ', val_acc)\\n\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"iteration 0 / 1000: loss 2.302954\\n\",\"iteration 100 / 1000: loss 2.302550\\n\",\"iteration 200 / 1000: loss 2.297648\\n\",\"iteration 300 / 1000: loss 2.259602\\n\",\"iteration 400 / 1000: loss 2.204170\\n\",\"iteration 500 / 1000: loss 2.118565\\n\",\"iteration 600 / 1000: loss 2.051535\\n\",\"iteration 700 / 1000: loss 1.988466\\n\",\"iteration 800 / 1000: loss 2.006591\\n\",\"iteration 900 / 1000: loss 1.951473\\n\",\"Validation accuracy:  0.287\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"53zpvtfkZ3YC\"},\"source\":[\"# Debug the training\\n\",\"With the default parameters we provided above, you should get a validation accuracy of about 0.29 on the validation set. This isn't very good.\\n\",\"\\n\",\"One strategy for getting insight into what's wrong is to plot the loss function and the accuracies on the training and validation sets during optimization.\\n\",\"\\n\",\"Another strategy is to visualize the weights that were learned in the first layer of the network. In most neural networks trained on visual data, the first layer weights typically show some visible structure when visualized.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"MF3sJHJEZ3YC\",\"colab\":{\"base_uri\":\"https://localhost:8080/\",\"height\":513},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1611325610988,\"user_tz\":-60,\"elapsed\":1112,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"17b3475d-32bc-4fdf-b7b9-23f974fa6fd2\"},\"source\":[\"# Plot the loss function and train / validation accuracies\\n\",\"plt.subplot(2, 1, 1)\\n\",\"plt.plot(stats['loss_history'])\\n\",\"plt.title('Loss history')\\n\",\"plt.xlabel('Iteration')\\n\",\"plt.ylabel('Loss')\\n\",\"\\n\",\"plt.subplot(2, 1, 2)\\n\",\"plt.plot(stats['train_acc_history'], label='train')\\n\",\"plt.plot(stats['val_acc_history'], label='val')\\n\",\"plt.title('Classification accuracy history')\\n\",\"plt.xlabel('Epoch')\\n\",\"plt.ylabel('Classification accuracy')\\n\",\"plt.legend()\\n\",\"plt.show()\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 720x576 with 2 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}}]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"uyIV2GoxZ3YD\",\"colab\":{\"base_uri\":\"https://localhost:8080/\",\"height\":465},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1611325615378,\"user_tz\":-60,\"elapsed\":1158,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"2123be79-1c55-4438-9cb0-671b1331b4c7\"},\"source\":[\"from cs231n.vis_utils import visualize_grid\\n\",\"\\n\",\"# Visualize the weights of the network\\n\",\"\\n\",\"def show_net_weights(net):\\n\",\"    W1 = net.params['W1']\\n\",\"    W1 = W1.reshape(32, 32, 3, -1).transpose(3, 0, 1, 2)\\n\",\"    plt.imshow(visualize_grid(W1, padding=3).astype('uint8'))\\n\",\"    plt.gca().axis('off')\\n\",\"    plt.show()\\n\",\"\\n\",\"show_net_weights(net)\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 720x576 with 1 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"GtaS0NDiZ3YD\"},\"source\":[\"# Tune your hyperparameters\\n\",\"\\n\",\"**What's wrong?**. Looking at the visualizations above, we see that the loss is decreasing more or less linearly, which seems to suggest that the learning rate may be too low. Moreover, there is no gap between the training and validation accuracy, suggesting that the model we used has low capacity, and that we should increase its size. On the other hand, with a very large model we would expect to see more overfitting, which would manifest itself as a very large gap between the training and validation accuracy.\\n\",\"\\n\",\"**Tuning**. Tuning the hyperparameters and developing intuition for how they affect the final performance is a large part of using Neural Networks, so we want you to get a lot of practice. Below, you should experiment with different values of the various hyperparameters, including hidden layer size, learning rate, numer of training epochs, and regularization strength. You might also consider tuning the learning rate decay, but you should be able to get good performance using the default value.\\n\",\"\\n\",\"**Approximate results**. You should be aim to achieve a classification accuracy of greater than 48% on the validation set. Our best network gets over 52% on the validation set.\\n\",\"\\n\",\"**Experiment**: You goal in this exercise is to get as good of a result on CIFAR-10 as you can (52% could serve as a reference), with a fully-connected Neural Network. Feel free implement your own techniques (e.g. PCA to reduce dimensionality, or adding dropout, or adding features to the solver, etc.).\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"tags\":[\"pdf-inline\"],\"id\":\"DZsXAspcZ3YE\"},\"source\":[\"**Explain your hyperparameter tuning process below.**\\n\",\"\\n\",\"$\\\\color{blue}{\\\\textit Your Answer:}$\\n\",\"\\n\",\"My hyperparameters tuning process is quite simple, it follows the following process:\\n\",\"1. Define a values interval for each hyperparameter.\\n\",\"2. Nest loops over hyperparameters values.\\n\",\"3. Analyze the accuracies/losses for each combination.\\n\",\"4. Refine values interval for each hyperparameter.\\n\",\"5. go to (2).\\n\",\"\\n\",\"The hyperparameters final refined values intervals are shown (in comments) in the cell below.\"]},{\"cell_type\":\"code\",\"metadata\":{\"tags\":[\"code\"],\"id\":\"FmqnznMfZ3YE\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1611325663734,\"user_tz\":-60,\"elapsed\":34947,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"1dde9342-b6ed-4522-e773-70f99525c3f1\"},\"source\":[\"best_net = None # store the best model into this \\n\",\"\\n\",\"#################################################################################\\n\",\"# TODO: Tune hyperparameters using the validation set. Store your best trained  #\\n\",\"# model in best_net.                                                            #\\n\",\"#                                                                               #\\n\",\"# To help debug your network, it may help to use visualizations similar to the  #\\n\",\"# ones we used above; these visualizations will have significant qualitative    #\\n\",\"# differences from the ones we saw above for the poorly tuned network.          #\\n\",\"#                                                                               #\\n\",\"# Tweaking hyperparameters by hand can be fun, but you might find it useful to  #\\n\",\"# write code to sweep through possible combinations of hyperparameters          #\\n\",\"# automatically like we did on the previous exercises.                          #\\n\",\"#################################################################################\\n\",\"# *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\\n\",\"\\n\",\"best_val_acc = 0.0\\n\",\"\\n\",\"input_size = 32 * 32 * 3\\n\",\"num_classes = 10\\n\",\"\\n\",\"hidden_size = 75\\n\",\"reg = 0.2\\n\",\"learning_rate = 1e-3\\n\",\"num_iters = 2100\\n\",\"learning_rate_decay = 0.95\\n\",\"batch_size = 200\\n\",\"# for hidden_size in range(50, 200, 25).\\n\",\"# for learning_rate in [1e-6, 1e-5, 1e-4, 1e-3].\\n\",\"# for reg in [0.1, 0.2, 0.3, 0.4, 0.5].\\n\",\"# for num_iters in [1000, 1500, 2000].\\n\",\"# ----------\\n\",\"# for learning_rate in [1e-3, 8.5e-2, 5e-2, 2.5e-2, 1e-2].\\n\",\"# for num_iters in range(2000, 2600, 100).\\n\",\"# ----------\\n\",\"# for num_iters in range(2000, 2600, 100).\\n\",\"# ----------\\n\",\"# for learning_rate_decay in np.arange(1.0, 0.55, -0.05).\\n\",\"# ----------\\n\",\"# for batch_size in range(100, 1050, 100).\\n\",\"\\n\",\"net = TwoLayerNet(input_size, hidden_size, num_classes)\\n\",\"\\n\",\"stats = net.train(X_train, y_train, X_val, y_val,\\n\",\"            num_iters=num_iters, batch_size=batch_size,\\n\",\"            learning_rate=learning_rate, learning_rate_decay=learning_rate_decay,\\n\",\"            reg=reg, verbose=True)\\n\",\"\\n\",\"best_net = net\\n\",\"\\n\",\"# *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\\n\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"iteration 0 / 2100: loss 2.303018\\n\",\"iteration 100 / 2100: loss 1.919498\\n\",\"iteration 200 / 2100: loss 1.852490\\n\",\"iteration 300 / 2100: loss 1.689437\\n\",\"iteration 400 / 2100: loss 1.660773\\n\",\"iteration 500 / 2100: loss 1.597493\\n\",\"iteration 600 / 2100: loss 1.506832\\n\",\"iteration 700 / 2100: loss 1.478608\\n\",\"iteration 800 / 2100: loss 1.492058\\n\",\"iteration 900 / 2100: loss 1.518190\\n\",\"iteration 1000 / 2100: loss 1.430617\\n\",\"iteration 1100 / 2100: loss 1.403876\\n\",\"iteration 1200 / 2100: loss 1.570900\\n\",\"iteration 1300 / 2100: loss 1.399899\\n\",\"iteration 1400 / 2100: loss 1.442258\\n\",\"iteration 1500 / 2100: loss 1.473165\\n\",\"iteration 1600 / 2100: loss 1.319686\\n\",\"iteration 1700 / 2100: loss 1.308916\\n\",\"iteration 1800 / 2100: loss 1.426552\\n\",\"iteration 1900 / 2100: loss 1.546598\\n\",\"iteration 2000 / 2100: loss 1.468294\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"val_accuracy\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1611325668238,\"user_tz\":-60,\"elapsed\":916,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"5acacdec-74c7-477b-8817-b087267ab44d\"},\"source\":[\"# Print your validation accuracy: this should be above 48%\\n\",\"val_acc = (best_net.predict(X_val) == y_val).mean()\\n\",\"print('Validation accuracy: ', val_acc)\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Validation accuracy:  0.5\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"JXpaleldZ3YF\",\"colab\":{\"base_uri\":\"https://localhost:8080/\",\"height\":465},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1611325673968,\"user_tz\":-60,\"elapsed\":1084,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"2a1c5b1f-dad5-4526-9961-d37498e08bf6\"},\"source\":[\"# Visualize the weights of the best network\\n\",\"show_net_weights(best_net)\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 720x576 with 1 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"RmenYgJEZ3YF\"},\"source\":[\"# Run on the test set\\n\",\"When you are done experimenting, you should evaluate your final trained network on the test set; you should get above 48%.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"test_accuracy\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1611325681791,\"user_tz\":-60,\"elapsed\":583,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"c4d8fd1f-72e5-40e3-d10f-0956c0e34124\"},\"source\":[\"# Print your test accuracy: this should be above 48%\\n\",\"test_acc = (best_net.predict(X_test) == y_test).mean()\\n\",\"print('Test accuracy: ', test_acc)\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Test accuracy:  0.487\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"tags\":[\"pdf-inline\"],\"id\":\"t-NlIsMYZ3YF\"},\"source\":[\"**Inline Question**\\n\",\"\\n\",\"Now that you have trained a Neural Network classifier, you may find that your testing accuracy is much lower than the training accuracy. In what ways can we decrease this gap? Select all that apply.\\n\",\"\\n\",\"1. Train on a larger dataset.\\n\",\"2. Add more hidden units.\\n\",\"3. Increase the regularization strength.\\n\",\"4. None of the above.\\n\",\"\\n\",\"$\\\\color{blue}{\\\\textit Your Answer:}$ We can decrease this gap by applying **statement 1**.\\n\",\"\\n\",\"$\\\\color{blue}{\\\\textit Your Explanation:}$\\n\",\"\\n\",\"- For the first statement (correct one): Training the neural network on a large dataset (more training examples) can lead to a better learning process (adjusted weights will be more general). And this will help to increase the testing accuracy.\\n\",\"\\n\",\"- For the second and third statement: These operations can be beneficial in the case where the training accuracy is low (which is not the case here).\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"vb352ggjZ3YF\"},\"source\":[\"---\\n\",\"# IMPORTANT\\n\",\"\\n\",\"This is the end of this question. Please do the following:\\n\",\"\\n\",\"1. Click `File -> Save` to make sure the latest checkpoint of this notebook is saved to your Drive.\\n\",\"2. Execute the cell below to download the modified `.py` files back to your drive.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"LZ1N1eFPZ3YG\"},\"source\":[\"import os\\n\",\"\\n\",\"FOLDER_TO_SAVE = os.path.join('drive/My Drive/', FOLDERNAME)\\n\",\"FILES_TO_SAVE = ['cs231n/classifiers/neural_net.py']\\n\",\"\\n\",\"for files in FILES_TO_SAVE:\\n\",\"  with open(os.path.join(FOLDER_TO_SAVE, '/'.join(files.split('/')[1:])), 'w') as f:\\n\",\"    f.write(''.join(open(files).readlines()))\"],\"execution_count\":null,\"outputs\":[]}]}"
  },
  {
    "path": "cs231n/assignment2/BatchNormalization.ipynb",
    "content": "{\"nbformat\":4,\"nbformat_minor\":0,\"metadata\":{\"colab\":{\"name\":\"BatchNormalization.ipynb\",\"provenance\":[],\"collapsed_sections\":[]},\"kernelspec\":{\"name\":\"python3\",\"display_name\":\"Python 3\"}},\"cells\":[{\"cell_type\":\"code\",\"metadata\":{\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"id\":\"vEfBhTLH6Z_5\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1612695138132,\"user_tz\":-60,\"elapsed\":25134,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"f13babe7-f640-4e9c-8be2-53fa25a294df\"},\"source\":[\"# this mounts your Google Drive to the Colab VM.\\n\",\"from google.colab import drive\\n\",\"drive.mount('/content/drive', force_remount=True)\\n\",\"\\n\",\"# enter the foldername in your Drive where you have saved the unzipped\\n\",\"# assignment folder, e.g. 'cs231n/assignments/assignment3/'\\n\",\"FOLDERNAME = 'cs231n/assignments/assignment2/'\\n\",\"assert FOLDERNAME is not None, \\\"[!] Enter the foldername.\\\"\\n\",\"\\n\",\"# now that we've mounted your Drive, this ensures that\\n\",\"# the Python interpreter of the Colab VM can load\\n\",\"# python files from within it.\\n\",\"import sys\\n\",\"sys.path.append('/content/drive/My Drive/{}'.format(FOLDERNAME))\\n\",\"\\n\",\"# this downloads the CIFAR-10 dataset to your Drive\\n\",\"# if it doesn't already exist.\\n\",\"%cd drive/My\\\\ Drive/$FOLDERNAME/cs231n/datasets/\\n\",\"!bash get_datasets.sh\\n\",\"%cd /content\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Mounted at /content/drive\\n\",\"/content/drive/My Drive/cs231n/assignments/assignment2/cs231n/datasets\\n\",\"/content\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"tags\":[\"pdf-title\"],\"id\":\"xuYXcqnD6aAB\"},\"source\":[\"# Batch Normalization\\n\",\"One way to make deep networks easier to train is to use more sophisticated optimization procedures such as SGD+momentum, RMSProp, or Adam. Another strategy is to change the architecture of the network to make it easier to train. \\n\",\"One idea along these lines is batch normalization which was proposed by [1] in 2015.\\n\",\"\\n\",\"The idea is relatively straightforward. Machine learning methods tend to work better when their input data consists of uncorrelated features with zero mean and unit variance. When training a neural network, we can preprocess the data before feeding it to the network to explicitly decorrelate its features; this will ensure that the first layer of the network sees data that follows a nice distribution. However, even if we preprocess the input data, the activations at deeper layers of the network will likely no longer be decorrelated and will no longer have zero mean or unit variance since they are output from earlier layers in the network. Even worse, during the training process the distribution of features at each layer of the network will shift as the weights of each layer are updated.\\n\",\"\\n\",\"The authors of [1] hypothesize that the shifting distribution of features inside deep neural networks may make training deep networks more difficult. To overcome this problem, [1] proposes to insert batch normalization layers into the network. At training time, a batch normalization layer uses a minibatch of data to estimate the mean and standard deviation of each feature. These estimated means and standard deviations are then used to center and normalize the features of the minibatch. A running average of these means and standard deviations is kept during training, and at test time these running averages are used to center and normalize features.\\n\",\"\\n\",\"It is possible that this normalization strategy could reduce the representational power of the network, since it may sometimes be optimal for certain layers to have features that are not zero-mean or unit variance. To this end, the batch normalization layer includes learnable shift and scale parameters for each feature dimension.\\n\",\"\\n\",\"[1] [Sergey Ioffe and Christian Szegedy, \\\"Batch Normalization: Accelerating Deep Network Training by Reducing\\n\",\"Internal Covariate Shift\\\", ICML 2015.](https://arxiv.org/abs/1502.03167)\"]},{\"cell_type\":\"code\",\"metadata\":{\"tags\":[\"pdf-ignore\"],\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"id\":\"pTnZkadM6aAC\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1612695168938,\"user_tz\":-60,\"elapsed\":5792,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"2ff7a9c6-ae75-4ccd-f066-005f77c819c7\"},\"source\":[\"# As usual, a bit of setup\\n\",\"import time\\n\",\"import numpy as np\\n\",\"import matplotlib.pyplot as plt\\n\",\"from cs231n.classifiers.fc_net import *\\n\",\"from cs231n.data_utils import get_CIFAR10_data\\n\",\"from cs231n.gradient_check import eval_numerical_gradient, eval_numerical_gradient_array\\n\",\"from cs231n.solver import Solver\\n\",\"\\n\",\"%matplotlib inline\\n\",\"plt.rcParams['figure.figsize'] = (10.0, 8.0) # set default size of plots\\n\",\"plt.rcParams['image.interpolation'] = 'nearest'\\n\",\"plt.rcParams['image.cmap'] = 'gray'\\n\",\"\\n\",\"# for auto-reloading external modules\\n\",\"# see http://stackoverflow.com/questions/1907993/autoreload-of-modules-in-ipython\\n\",\"%load_ext autoreload\\n\",\"%autoreload 2\\n\",\"\\n\",\"def rel_error(x, y):\\n\",\"    \\\"\\\"\\\" returns relative error \\\"\\\"\\\"\\n\",\"    return np.max(np.abs(x - y) / (np.maximum(1e-8, np.abs(x) + np.abs(y))))\\n\",\"\\n\",\"def print_mean_std(x,axis=0):\\n\",\"    print('  means: ', x.mean(axis=axis))\\n\",\"    print('  stds:  ', x.std(axis=axis))\\n\",\"    print() \"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"=========== You can safely ignore the message below if you are NOT working on ConvolutionalNetworks.ipynb ===========\\n\",\"\\tYou will need to compile a Cython extension for a portion of this assignment.\\n\",\"\\tThe instructions to do this will be given in a section of the notebook below.\\n\",\"\\tThere will be an option for Colab users and another for Jupyter (local) users.\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"code\",\"metadata\":{\"tags\":[\"pdf-ignore\"],\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"id\":\"MBzcjwfc6aAD\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1612695202579,\"user_tz\":-60,\"elapsed\":9106,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"c00812ed-64b2-4e82-936f-10eea6608d1c\"},\"source\":[\"# Load the (preprocessed) CIFAR10 data.\\n\",\"data = get_CIFAR10_data()\\n\",\"for k, v in data.items():\\n\",\"  print('%s: ' % k, v.shape)\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"X_train:  (49000, 3, 32, 32)\\n\",\"y_train:  (49000,)\\n\",\"X_val:  (1000, 3, 32, 32)\\n\",\"y_val:  (1000,)\\n\",\"X_test:  (1000, 3, 32, 32)\\n\",\"y_test:  (1000,)\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"x5AHV8Td6aAD\"},\"source\":[\"## Batch normalization: forward\\n\",\"In the file `cs231n/layers.py`, implement the batch normalization forward pass in the function `batchnorm_forward`. Once you have done so, run the following to test your implementation.\\n\",\"\\n\",\"Referencing the paper linked to above in [1] may be helpful!\"]},{\"cell_type\":\"code\",\"metadata\":{\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"id\":\"R_8S9sUP6aAE\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1612695202581,\"user_tz\":-60,\"elapsed\":6986,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"b1a5a96b-4c5d-4278-e580-0c8291f4bf61\"},\"source\":[\"# Check the training-time forward pass by checking means and variances\\n\",\"# of features both before and after batch normalization   \\n\",\"\\n\",\"# Simulate the forward pass for a two-layer network\\n\",\"np.random.seed(231)\\n\",\"N, D1, D2, D3 = 200, 50, 60, 3\\n\",\"X = np.random.randn(N, D1)\\n\",\"W1 = np.random.randn(D1, D2)\\n\",\"W2 = np.random.randn(D2, D3)\\n\",\"a = np.maximum(0, X.dot(W1)).dot(W2)\\n\",\"\\n\",\"print('Before batch normalization:')\\n\",\"print_mean_std(a,axis=0)\\n\",\"\\n\",\"gamma = np.ones((D3,))\\n\",\"beta = np.zeros((D3,))\\n\",\"# Means should be close to zero and stds close to one\\n\",\"print('After batch normalization (gamma=1, beta=0)')\\n\",\"a_norm, _ = batchnorm_forward(a, gamma, beta, {'mode': 'train'})\\n\",\"print_mean_std(a_norm,axis=0)\\n\",\"\\n\",\"gamma = np.asarray([1.0, 2.0, 3.0])\\n\",\"beta = np.asarray([11.0, 12.0, 13.0])\\n\",\"# Now means should be close to beta and stds close to gamma\\n\",\"print('After batch normalization (gamma=', gamma, ', beta=', beta, ')')\\n\",\"a_norm, _ = batchnorm_forward(a, gamma, beta, {'mode': 'train'})\\n\",\"print_mean_std(a_norm,axis=0)\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Before batch normalization:\\n\",\"  means:  [ -2.3814598  -13.18038246   1.91780462]\\n\",\"  stds:   [27.18502186 34.21455511 37.68611762]\\n\",\"\\n\",\"After batch normalization (gamma=1, beta=0)\\n\",\"  means:  [5.99520433e-17 6.93889390e-17 8.32667268e-19]\\n\",\"  stds:   [0.99999999 1.         1.        ]\\n\",\"\\n\",\"After batch normalization (gamma= [1. 2. 3.] , beta= [11. 12. 13.] )\\n\",\"  means:  [11. 12. 13.]\\n\",\"  stds:   [0.99999999 1.99999999 2.99999999]\\n\",\"\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"code\",\"metadata\":{\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"id\":\"vA1u_NWd6aAE\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1612695203673,\"user_tz\":-60,\"elapsed\":1084,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"a8a44b87-f090-44cd-9c96-90332214e6a6\"},\"source\":[\"# Check the test-time forward pass by running the training-time\\n\",\"# forward pass many times to warm up the running averages, and then\\n\",\"# checking the means and variances of activations after a test-time\\n\",\"# forward pass.\\n\",\"\\n\",\"np.random.seed(231)\\n\",\"N, D1, D2, D3 = 200, 50, 60, 3\\n\",\"W1 = np.random.randn(D1, D2)\\n\",\"W2 = np.random.randn(D2, D3)\\n\",\"\\n\",\"bn_param = {'mode': 'train'}\\n\",\"gamma = np.ones(D3)\\n\",\"beta = np.zeros(D3)\\n\",\"\\n\",\"for t in range(50):\\n\",\"  X = np.random.randn(N, D1)\\n\",\"  a = np.maximum(0, X.dot(W1)).dot(W2)\\n\",\"  batchnorm_forward(a, gamma, beta, bn_param)\\n\",\"\\n\",\"bn_param['mode'] = 'test'\\n\",\"X = np.random.randn(N, D1)\\n\",\"a = np.maximum(0, X.dot(W1)).dot(W2)\\n\",\"a_norm, _ = batchnorm_forward(a, gamma, beta, bn_param)\\n\",\"\\n\",\"# Means should be close to zero and stds close to one, but will be\\n\",\"# noisier than training-time forward passes.\\n\",\"print('After batch normalization (test-time):')\\n\",\"print_mean_std(a_norm,axis=0)\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"After batch normalization (test-time):\\n\",\"  means:  [-0.03927353 -0.04349151 -0.10452686]\\n\",\"  stds:   [1.01531399 1.01238345 0.97819961]\\n\",\"\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"eA8vI-wL6aAE\"},\"source\":[\"## Batch normalization: backward\\n\",\"Now implement the backward pass for batch normalization in the function `batchnorm_backward`.\\n\",\"\\n\",\"To derive the backward pass you should write out the computation graph for batch normalization and backprop through each of the intermediate nodes. Some intermediates may have multiple outgoing branches; make sure to sum gradients across these branches in the backward pass.\\n\",\"\\n\",\"Once you have finished, run the following to numerically check your backward pass.\"]},{\"cell_type\":\"code\",\"metadata\":{\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"id\":\"ZwGznLeJ6aAF\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1612695203675,\"user_tz\":-60,\"elapsed\":833,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"5cecc401-6b3f-4a0f-bd34-db0c60247aab\"},\"source\":[\"# Gradient check batchnorm backward pass\\n\",\"np.random.seed(231)\\n\",\"N, D = 4, 5\\n\",\"x = 5 * np.random.randn(N, D) + 12\\n\",\"gamma = np.random.randn(D)\\n\",\"beta = np.random.randn(D)\\n\",\"dout = np.random.randn(N, D)\\n\",\"\\n\",\"bn_param = {'mode': 'train'}\\n\",\"fx = lambda x: batchnorm_forward(x, gamma, beta, bn_param)[0]\\n\",\"fg = lambda a: batchnorm_forward(x, a, beta, bn_param)[0]\\n\",\"fb = lambda b: batchnorm_forward(x, gamma, b, bn_param)[0]\\n\",\"\\n\",\"dx_num = eval_numerical_gradient_array(fx, x, dout)\\n\",\"da_num = eval_numerical_gradient_array(fg, gamma.copy(), dout)\\n\",\"db_num = eval_numerical_gradient_array(fb, beta.copy(), dout)\\n\",\"\\n\",\"_, cache = batchnorm_forward(x, gamma, beta, bn_param)\\n\",\"dx, dgamma, dbeta = batchnorm_backward(dout, cache)\\n\",\"#You should expect to see relative errors between 1e-13 and 1e-8\\n\",\"print('dx error: ', rel_error(dx_num, dx))\\n\",\"print('dgamma error: ', rel_error(da_num, dgamma))\\n\",\"print('dbeta error: ', rel_error(db_num, dbeta))\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"dx error:  1.6674604875341426e-09\\n\",\"dgamma error:  7.417225040694815e-13\\n\",\"dbeta error:  2.379446949959628e-12\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"iL4OAHgK6aAG\"},\"source\":[\"## Batch normalization: alternative backward\\n\",\"In class we talked about two different implementations for the sigmoid backward pass. One strategy is to write out a computation graph composed of simple operations and backprop through all intermediate values. Another strategy is to work out the derivatives on paper. For example, you can derive a very simple formula for the sigmoid function's backward pass by simplifying gradients on paper.\\n\",\"\\n\",\"Surprisingly, it turns out that you can do a similar simplification for the batch normalization backward pass too!  \\n\",\"\\n\",\"In the forward pass, given a set of inputs $X=\\\\begin{bmatrix}x_1\\\\\\\\x_2\\\\\\\\...\\\\\\\\x_N\\\\end{bmatrix}$, \\n\",\"\\n\",\"we first calculate the mean $\\\\mu$ and variance $v$.\\n\",\"With $\\\\mu$ and $v$ calculated, we can calculate the standard deviation $\\\\sigma$  and normalized data $Y$.\\n\",\"The equations and graph illustration below describe the computation ($y_i$ is the i-th element of the vector $Y$).\\n\",\"\\n\",\"\\\\begin{align}\\n\",\"& \\\\mu=\\\\frac{1}{N}\\\\sum_{k=1}^N x_k  &  v=\\\\frac{1}{N}\\\\sum_{k=1}^N (x_k-\\\\mu)^2 \\\\\\\\\\n\",\"& \\\\sigma=\\\\sqrt{v+\\\\epsilon}         &  y_i=\\\\frac{x_i-\\\\mu}{\\\\sigma}\\n\",\"\\\\end{align}\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"F7siaU7F6aAH\"},\"source\":[\"<img src=\\\"https://raw.githubusercontent.com/cs231n/cs231n.github.io/master/assets/a2/batchnorm_graph.png\\\">\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"tags\":[\"pdf-ignore\"],\"id\":\"kwqO7IDb6aAH\"},\"source\":[\"The meat of our problem during backpropagation is to compute $\\\\frac{\\\\partial L}{\\\\partial X}$, given the upstream gradient we receive, $\\\\frac{\\\\partial L}{\\\\partial Y}.$ To do this, recall the chain rule in calculus gives us $\\\\frac{\\\\partial L}{\\\\partial X} = \\\\frac{\\\\partial L}{\\\\partial Y} \\\\cdot \\\\frac{\\\\partial Y}{\\\\partial X}$.\\n\",\"\\n\",\"The unknown/hart part is $\\\\frac{\\\\partial Y}{\\\\partial X}$. We can find this by first deriving step-by-step our local gradients at \\n\",\"$\\\\frac{\\\\partial v}{\\\\partial X}$, $\\\\frac{\\\\partial \\\\mu}{\\\\partial X}$,\\n\",\"$\\\\frac{\\\\partial \\\\sigma}{\\\\partial v}$, \\n\",\"$\\\\frac{\\\\partial Y}{\\\\partial \\\\sigma}$, and $\\\\frac{\\\\partial Y}{\\\\partial \\\\mu}$,\\n\",\"and then use the chain rule to compose these gradients (which appear in the form of vectors!) appropriately to compute $\\\\frac{\\\\partial Y}{\\\\partial X}$.\\n\",\"\\n\",\"If it's challenging to directly reason about the gradients over $X$ and $Y$ which require matrix multiplication, try reasoning about the gradients in terms of individual elements $x_i$ and $y_i$ first: in that case, you will need to come up with the derivations for $\\\\frac{\\\\partial L}{\\\\partial x_i}$, by relying on the Chain Rule to first calculate the intermediate $\\\\frac{\\\\partial \\\\mu}{\\\\partial x_i}, \\\\frac{\\\\partial v}{\\\\partial x_i}, \\\\frac{\\\\partial \\\\sigma}{\\\\partial x_i},$ then assemble these pieces to calculate $\\\\frac{\\\\partial y_i}{\\\\partial x_i}$. \\n\",\"\\n\",\"You should make sure each of the intermediary gradient derivations are all as simplified as possible, for ease of implementation. \\n\",\"\\n\",\"After doing so, implement the simplified batch normalization backward pass in the function `batchnorm_backward_alt` and compare the two implementations by running the following. Your two implementations should compute nearly identical results, but the alternative implementation should be a bit faster.\"]},{\"cell_type\":\"code\",\"metadata\":{\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"id\":\"G6JnoYE36aAI\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1612695211173,\"user_tz\":-60,\"elapsed\":1003,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"cbfa9c60-752f-4c89-9975-4495f1b58744\"},\"source\":[\"np.random.seed(231)\\n\",\"N, D = 100, 500\\n\",\"x = 5 * np.random.randn(N, D) + 12\\n\",\"gamma = np.random.randn(D)\\n\",\"beta = np.random.randn(D)\\n\",\"dout = np.random.randn(N, D)\\n\",\"\\n\",\"bn_param = {'mode': 'train'}\\n\",\"out, cache = batchnorm_forward(x, gamma, beta, bn_param)\\n\",\"\\n\",\"t1 = time.time()\\n\",\"dx1, dgamma1, dbeta1 = batchnorm_backward(dout, cache)\\n\",\"t2 = time.time()\\n\",\"dx2, dgamma2, dbeta2 = batchnorm_backward_alt(dout, cache)\\n\",\"t3 = time.time()\\n\",\"\\n\",\"print('dx difference: ', rel_error(dx1, dx2))\\n\",\"print('dgamma difference: ', rel_error(dgamma1, dgamma2))\\n\",\"print('dbeta difference: ', rel_error(dbeta1, dbeta2))\\n\",\"print('speedup: %.2fx' % ((t2 - t1) / (t3 - t2)))\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"dx difference:  9.890497291190823e-13\\n\",\"dgamma difference:  0.0\\n\",\"dbeta difference:  0.0\\n\",\"speedup: 1.21x\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"v21tz-rh6aAJ\"},\"source\":[\"## Fully Connected Nets with Batch Normalization\\n\",\"Now that you have a working implementation for batch normalization, go back to your `FullyConnectedNet` in the file `cs231n/classifiers/fc_net.py`. Modify your implementation to add batch normalization.\\n\",\"\\n\",\"Concretely, when the `normalization` flag is set to `\\\"batchnorm\\\"` in the constructor, you should insert a batch normalization layer before each ReLU nonlinearity. The outputs from the last layer of the network should not be normalized. Once you are done, run the following to gradient-check your implementation.\\n\",\"\\n\",\"HINT: You might find it useful to define an additional helper layer similar to those in the file `cs231n/layer_utils.py`. If you decide to do so, do it in the file `cs231n/classifiers/fc_net.py`.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"L9WKxsZv6aAJ\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1612698160689,\"user_tz\":-60,\"elapsed\":3549,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"d33c2cf3-ba6c-4823-855f-01301d5c377f\"},\"source\":[\"np.random.seed(231)\\n\",\"N, D, H1, H2, C = 2, 15, 20, 30, 10\\n\",\"X = np.random.randn(N, D)\\n\",\"y = np.random.randint(C, size=(N,))\\n\",\"\\n\",\"# You should expect losses between 1e-4~1e-10 for W, \\n\",\"# losses between 1e-08~1e-10 for b,\\n\",\"# and losses between 1e-08~1e-09 for beta and gammas.\\n\",\"for reg in [0, 3.14]:\\n\",\"  print('Running check with reg = ', reg)\\n\",\"  model = FullyConnectedNet([H1, H2], input_dim=D, num_classes=C,\\n\",\"                            reg=reg, weight_scale=5e-2, dtype=np.float64,\\n\",\"                            normalization='batchnorm')\\n\",\"\\n\",\"  loss, grads = model.loss(X, y)\\n\",\"  print('Initial loss: ', loss)\\n\",\"\\n\",\"  for name in sorted(grads):\\n\",\"    f = lambda _: model.loss(X, y)[0]\\n\",\"    grad_num = eval_numerical_gradient(f, model.params[name], verbose=False, h=1e-5)\\n\",\"    print('%s relative error: %.2e' % (name, rel_error(grad_num, grads[name])))\\n\",\"  if reg == 0: print()\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Running check with reg =  0\\n\",\"Initial loss:  2.2611955101340957\\n\",\"W1 relative error: 1.10e-04\\n\",\"W2 relative error: 3.11e-06\\n\",\"W3 relative error: 4.05e-10\\n\",\"b1 relative error: 2.66e-07\\n\",\"b2 relative error: 2.72e-07\\n\",\"b3 relative error: 1.01e-10\\n\",\"beta1 relative error: 7.33e-09\\n\",\"beta2 relative error: 1.89e-09\\n\",\"gamma1 relative error: 6.96e-09\\n\",\"gamma2 relative error: 2.41e-09\\n\",\"\\n\",\"Running check with reg =  3.14\\n\",\"Initial loss:  6.996533220108303\\n\",\"W1 relative error: 1.98e-06\\n\",\"W2 relative error: 2.29e-06\\n\",\"W3 relative error: 2.79e-08\\n\",\"b1 relative error: 1.38e-08\\n\",\"b2 relative error: 7.99e-07\\n\",\"b3 relative error: 2.10e-10\\n\",\"beta1 relative error: 6.65e-09\\n\",\"beta2 relative error: 3.39e-09\\n\",\"gamma1 relative error: 6.27e-09\\n\",\"gamma2 relative error: 5.28e-09\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"XLUm_9Oa6aAJ\"},\"source\":[\"# Batchnorm for deep networks\\n\",\"Run the following to train a six-layer network on a subset of 1000 training examples both with and without batch normalization.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"zMiOgAfx6aAK\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1612698172794,\"user_tz\":-60,\"elapsed\":10543,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"dfa87942-caba-4fee-957c-e35b5755d78f\"},\"source\":[\"np.random.seed(231)\\n\",\"# Try training a very deep net with batchnorm\\n\",\"hidden_dims = [100, 100, 100, 100, 100]\\n\",\"\\n\",\"num_train = 1000\\n\",\"small_data = {\\n\",\"  'X_train': data['X_train'][:num_train],\\n\",\"  'y_train': data['y_train'][:num_train],\\n\",\"  'X_val': data['X_val'],\\n\",\"  'y_val': data['y_val'],\\n\",\"}\\n\",\"\\n\",\"weight_scale = 2e-2\\n\",\"bn_model = FullyConnectedNet(hidden_dims, weight_scale=weight_scale, normalization='batchnorm')\\n\",\"model = FullyConnectedNet(hidden_dims, weight_scale=weight_scale, normalization=None)\\n\",\"\\n\",\"print('Solver with batch norm:')\\n\",\"bn_solver = Solver(bn_model, small_data,\\n\",\"                num_epochs=10, batch_size=50,\\n\",\"                update_rule='adam',\\n\",\"                optim_config={\\n\",\"                  'learning_rate': 1e-3,\\n\",\"                },\\n\",\"                verbose=True,print_every=20)\\n\",\"bn_solver.train()\\n\",\"\\n\",\"print('\\\\nSolver without batch norm:')\\n\",\"solver = Solver(model, small_data,\\n\",\"                num_epochs=10, batch_size=50,\\n\",\"                update_rule='adam',\\n\",\"                optim_config={\\n\",\"                  'learning_rate': 1e-3,\\n\",\"                },\\n\",\"                verbose=True, print_every=20)\\n\",\"solver.train()\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Solver with batch norm:\\n\",\"(Iteration 1 / 200) loss: 2.297074\\n\",\"(Epoch 0 / 10) train acc: 0.102000; val_acc: 0.107000\\n\",\"(Epoch 1 / 10) train acc: 0.333000; val_acc: 0.263000\\n\",\"(Iteration 21 / 200) loss: 1.968218\\n\",\"(Epoch 2 / 10) train acc: 0.420000; val_acc: 0.289000\\n\",\"(Iteration 41 / 200) loss: 1.783523\\n\",\"(Epoch 3 / 10) train acc: 0.492000; val_acc: 0.309000\\n\",\"(Iteration 61 / 200) loss: 1.651492\\n\",\"(Epoch 4 / 10) train acc: 0.479000; val_acc: 0.302000\\n\",\"(Iteration 81 / 200) loss: 1.417491\\n\",\"(Epoch 5 / 10) train acc: 0.585000; val_acc: 0.327000\\n\",\"(Iteration 101 / 200) loss: 1.453174\\n\",\"(Epoch 6 / 10) train acc: 0.637000; val_acc: 0.340000\\n\",\"(Iteration 121 / 200) loss: 1.096966\\n\",\"(Epoch 7 / 10) train acc: 0.671000; val_acc: 0.330000\\n\",\"(Iteration 141 / 200) loss: 1.147829\\n\",\"(Epoch 8 / 10) train acc: 0.716000; val_acc: 0.328000\\n\",\"(Iteration 161 / 200) loss: 0.813335\\n\",\"(Epoch 9 / 10) train acc: 0.784000; val_acc: 0.330000\\n\",\"(Iteration 181 / 200) loss: 0.809768\\n\",\"(Epoch 10 / 10) train acc: 0.818000; val_acc: 0.321000\\n\",\"\\n\",\"Solver without batch norm:\\n\",\"(Iteration 1 / 200) loss: 2.302600\\n\",\"(Epoch 0 / 10) train acc: 0.124000; val_acc: 0.106000\\n\",\"(Epoch 1 / 10) train acc: 0.185000; val_acc: 0.168000\\n\",\"(Iteration 21 / 200) loss: 2.248002\\n\",\"(Epoch 2 / 10) train acc: 0.220000; val_acc: 0.226000\\n\",\"(Iteration 41 / 200) loss: 1.977625\\n\",\"(Epoch 3 / 10) train acc: 0.257000; val_acc: 0.218000\\n\",\"(Iteration 61 / 200) loss: 2.037953\\n\",\"(Epoch 4 / 10) train acc: 0.244000; val_acc: 0.227000\\n\",\"(Iteration 81 / 200) loss: 2.000312\\n\",\"(Epoch 5 / 10) train acc: 0.299000; val_acc: 0.237000\\n\",\"(Iteration 101 / 200) loss: 1.748184\\n\",\"(Epoch 6 / 10) train acc: 0.362000; val_acc: 0.279000\\n\",\"(Iteration 121 / 200) loss: 1.724046\\n\",\"(Epoch 7 / 10) train acc: 0.342000; val_acc: 0.258000\\n\",\"(Iteration 141 / 200) loss: 1.696783\\n\",\"(Epoch 8 / 10) train acc: 0.366000; val_acc: 0.252000\\n\",\"(Iteration 161 / 200) loss: 1.539274\\n\",\"(Epoch 9 / 10) train acc: 0.426000; val_acc: 0.256000\\n\",\"(Iteration 181 / 200) loss: 1.462405\\n\",\"(Epoch 10 / 10) train acc: 0.404000; val_acc: 0.273000\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"t0nXoq006aAK\"},\"source\":[\"Run the following to visualize the results from two networks trained above. You should find that using batch normalization helps the network to converge much faster.\"]},{\"cell_type\":\"code\",\"metadata\":{\"tags\":[\"pdf-ignore-input\"],\"id\":\"k_vQmi1Q6aAK\",\"colab\":{\"base_uri\":\"https://localhost:8080/\",\"height\":893},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1612699453052,\"user_tz\":-60,\"elapsed\":1663,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"66db6514-2035-47e4-f7fb-5f37828912f7\"},\"source\":[\"def plot_training_history(title, label, baseline, bn_solvers, plot_fn, bl_marker='.', bn_marker='.', labels=None):\\n\",\"    \\\"\\\"\\\"utility function for plotting training history\\\"\\\"\\\"\\n\",\"    plt.title(title)\\n\",\"    plt.xlabel(label)\\n\",\"    bn_plots = [plot_fn(bn_solver) for bn_solver in bn_solvers]\\n\",\"    bl_plot = plot_fn(baseline)\\n\",\"    num_bn = len(bn_plots)\\n\",\"    for i in range(num_bn):\\n\",\"        label='with_norm'\\n\",\"        if labels is not None:\\n\",\"            label += str(labels[i])\\n\",\"        plt.plot(bn_plots[i], bn_marker, label=label)\\n\",\"    label='baseline'\\n\",\"    if labels is not None:\\n\",\"        label += str(labels[0])\\n\",\"    plt.plot(bl_plot, bl_marker, label=label)\\n\",\"    plt.legend(loc='lower center', ncol=num_bn+1) \\n\",\"\\n\",\"    \\n\",\"plt.subplot(3, 1, 1)\\n\",\"plot_training_history('Training loss','Iteration', solver, [bn_solver], \\\\\\n\",\"                      lambda x: x.loss_history, bl_marker='o', bn_marker='o')\\n\",\"plt.subplot(3, 1, 2)\\n\",\"plot_training_history('Training accuracy','Epoch', solver, [bn_solver], \\\\\\n\",\"                      lambda x: x.train_acc_history, bl_marker='-o', bn_marker='-o')\\n\",\"plt.subplot(3, 1, 3)\\n\",\"plot_training_history('Validation accuracy','Epoch', solver, [bn_solver], \\\\\\n\",\"                      lambda x: x.val_acc_history, bl_marker='-o', bn_marker='-o')\\n\",\"\\n\",\"plt.gcf().set_size_inches(15, 15)\\n\",\"plt.show()\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 1080x1080 with 3 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"NfTxCC306aAK\"},\"source\":[\"# Batch normalization and initialization\\n\",\"We will now run a small experiment to study the interaction of batch normalization and weight initialization.\\n\",\"\\n\",\"The first cell will train 8-layer networks both with and without batch normalization using different scales for weight initialization. The second layer will plot training accuracy, validation set accuracy, and training loss as a function of the weight initialization scale.\"]},{\"cell_type\":\"code\",\"metadata\":{\"tags\":[\"pdf-ignore-input\"],\"id\":\"MtCy2jap6aAK\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1612699734151,\"user_tz\":-60,\"elapsed\":193571,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"fdf5d8ec-8e24-454c-a44f-3aa31bf0cdf6\"},\"source\":[\"np.random.seed(231)\\n\",\"# Try training a very deep net with batchnorm\\n\",\"hidden_dims = [50, 50, 50, 50, 50, 50, 50]\\n\",\"num_train = 1000\\n\",\"small_data = {\\n\",\"  'X_train': data['X_train'][:num_train],\\n\",\"  'y_train': data['y_train'][:num_train],\\n\",\"  'X_val': data['X_val'],\\n\",\"  'y_val': data['y_val'],\\n\",\"}\\n\",\"\\n\",\"bn_solvers_ws = {}\\n\",\"solvers_ws = {}\\n\",\"weight_scales = np.logspace(-4, 0, num=20)\\n\",\"for i, weight_scale in enumerate(weight_scales):\\n\",\"    print('Running weight scale %d / %d' % (i + 1, len(weight_scales)))\\n\",\"    bn_model = FullyConnectedNet(hidden_dims, weight_scale=weight_scale, normalization='batchnorm')\\n\",\"    model = FullyConnectedNet(hidden_dims, weight_scale=weight_scale, normalization=None)\\n\",\"\\n\",\"    bn_solver = Solver(bn_model, small_data,\\n\",\"                  num_epochs=10, batch_size=50,\\n\",\"                  update_rule='adam',\\n\",\"                  optim_config={\\n\",\"                    'learning_rate': 1e-3,\\n\",\"                  },\\n\",\"                  verbose=False, print_every=200)\\n\",\"    bn_solver.train()\\n\",\"    bn_solvers_ws[weight_scale] = bn_solver\\n\",\"\\n\",\"    solver = Solver(model, small_data,\\n\",\"                  num_epochs=10, batch_size=50,\\n\",\"                  update_rule='adam',\\n\",\"                  optim_config={\\n\",\"                    'learning_rate': 1e-3,\\n\",\"                  },\\n\",\"                  verbose=False, print_every=200)\\n\",\"    solver.train()\\n\",\"    solvers_ws[weight_scale] = solver\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Running weight scale 1 / 20\\n\",\"Running weight scale 2 / 20\\n\",\"Running weight scale 3 / 20\\n\",\"Running weight scale 4 / 20\\n\",\"Running weight scale 5 / 20\\n\",\"Running weight scale 6 / 20\\n\",\"Running weight scale 7 / 20\\n\",\"Running weight scale 8 / 20\\n\",\"Running weight scale 9 / 20\\n\",\"Running weight scale 10 / 20\\n\",\"Running weight scale 11 / 20\\n\",\"Running weight scale 12 / 20\\n\",\"Running weight scale 13 / 20\\n\",\"Running weight scale 14 / 20\\n\",\"Running weight scale 15 / 20\\n\",\"Running weight scale 16 / 20\\n\",\"Running weight scale 17 / 20\\n\",\"Running weight scale 18 / 20\\n\",\"Running weight scale 19 / 20\\n\",\"Running weight scale 20 / 20\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"code\",\"metadata\":{\"tags\":[\"pdf-ignore-input\"],\"id\":\"VjJ7bWx56aAL\",\"colab\":{\"base_uri\":\"https://localhost:8080/\",\"height\":897},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1612699738758,\"user_tz\":-60,\"elapsed\":2345,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"f9a7cf6b-f576-4bdc-afb5-69574e5d8e7c\"},\"source\":[\"# Plot results of weight scale experiment\\n\",\"best_train_accs, bn_best_train_accs = [], []\\n\",\"best_val_accs, bn_best_val_accs = [], []\\n\",\"final_train_loss, bn_final_train_loss = [], []\\n\",\"\\n\",\"for ws in weight_scales:\\n\",\"  best_train_accs.append(max(solvers_ws[ws].train_acc_history))\\n\",\"  bn_best_train_accs.append(max(bn_solvers_ws[ws].train_acc_history))\\n\",\"  \\n\",\"  best_val_accs.append(max(solvers_ws[ws].val_acc_history))\\n\",\"  bn_best_val_accs.append(max(bn_solvers_ws[ws].val_acc_history))\\n\",\"  \\n\",\"  final_train_loss.append(np.mean(solvers_ws[ws].loss_history[-100:]))\\n\",\"  bn_final_train_loss.append(np.mean(bn_solvers_ws[ws].loss_history[-100:]))\\n\",\"  \\n\",\"plt.subplot(3, 1, 1)\\n\",\"plt.title('Best val accuracy vs weight initialization scale')\\n\",\"plt.xlabel('Weight initialization scale')\\n\",\"plt.ylabel('Best val accuracy')\\n\",\"plt.semilogx(weight_scales, best_val_accs, '-o', label='baseline')\\n\",\"plt.semilogx(weight_scales, bn_best_val_accs, '-o', label='batchnorm')\\n\",\"plt.legend(ncol=2, loc='lower right')\\n\",\"\\n\",\"plt.subplot(3, 1, 2)\\n\",\"plt.title('Best train accuracy vs weight initialization scale')\\n\",\"plt.xlabel('Weight initialization scale')\\n\",\"plt.ylabel('Best training accuracy')\\n\",\"plt.semilogx(weight_scales, best_train_accs, '-o', label='baseline')\\n\",\"plt.semilogx(weight_scales, bn_best_train_accs, '-o', label='batchnorm')\\n\",\"plt.legend()\\n\",\"\\n\",\"plt.subplot(3, 1, 3)\\n\",\"plt.title('Final training loss vs weight initialization scale')\\n\",\"plt.xlabel('Weight initialization scale')\\n\",\"plt.ylabel('Final training loss')\\n\",\"plt.semilogx(weight_scales, final_train_loss, '-o', label='baseline')\\n\",\"plt.semilogx(weight_scales, bn_final_train_loss, '-o', label='batchnorm')\\n\",\"plt.legend()\\n\",\"plt.gca().set_ylim(1.0, 3.5)\\n\",\"\\n\",\"plt.gcf().set_size_inches(15, 15)\\n\",\"plt.show()\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 1080x1080 with 3 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}}]},{\"cell_type\":\"markdown\",\"metadata\":{\"tags\":[\"pdf-inline\"],\"id\":\"CD57P6rO6aAL\"},\"source\":[\"## Inline Question 1:\\n\",\"Describe the results of this experiment. How does the scale of weight initialization affect models with/without batch normalization differently, and why?\\n\",\"\\n\",\"## Answer:\\n\",\"- Although neural nets using batch normalization performs globally better (in terms of accuracy) regarding the nets without batchnorm, we notice that the batchnorm is clearly affected by the initialization scale. In my opinion, this is due to the fact that, for all initialization scale weights, the networks were trained within the same number of epochs, and it's clear that the batchnorm layer needs more time to learn *scale* and *shift* parameters for high initialization scales.\\n\",\"- We notice also that using batchnorm prevents loss explosion with high initialization scale (3rd graph above).\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"rIapjFeA6aAL\"},\"source\":[\"# Batch normalization and batch size\\n\",\"We will now run a small experiment to study the interaction of batch normalization and batch size.\\n\",\"\\n\",\"The first cell will train 6-layer networks both with and without batch normalization using different batch sizes. The second layer will plot training accuracy and validation set accuracy over time.\"]},{\"cell_type\":\"code\",\"metadata\":{\"tags\":[\"pdf-ignore-input\"],\"id\":\"1db7yqeC6aAL\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1612699958333,\"user_tz\":-60,\"elapsed\":77572,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"cb80c65d-a99d-4713-f5c0-9f8f5a89ed45\"},\"source\":[\"def run_batchsize_experiments(normalization_mode):\\n\",\"    np.random.seed(231)\\n\",\"    # Try training a very deep net with batchnorm\\n\",\"    hidden_dims = [100, 100, 100, 100, 100]\\n\",\"    num_train = 1000\\n\",\"    small_data = {\\n\",\"      'X_train': data['X_train'][:num_train],\\n\",\"      'y_train': data['y_train'][:num_train],\\n\",\"      'X_val': data['X_val'],\\n\",\"      'y_val': data['y_val'],\\n\",\"    }\\n\",\"    n_epochs=10\\n\",\"    weight_scale = 2e-2\\n\",\"    batch_sizes = [5,10,50]\\n\",\"    lr = 10**(-3.5)\\n\",\"    solver_bsize = batch_sizes[0]\\n\",\"\\n\",\"    print('No normalization: batch size = ',solver_bsize)\\n\",\"    model = FullyConnectedNet(hidden_dims, weight_scale=weight_scale, normalization=None)\\n\",\"    solver = Solver(model, small_data,\\n\",\"                    num_epochs=n_epochs, batch_size=solver_bsize,\\n\",\"                    update_rule='adam',\\n\",\"                    optim_config={\\n\",\"                      'learning_rate': lr,\\n\",\"                    },\\n\",\"                    verbose=False)\\n\",\"    solver.train()\\n\",\"    \\n\",\"    bn_solvers = []\\n\",\"    for i in range(len(batch_sizes)):\\n\",\"        b_size=batch_sizes[i]\\n\",\"        print('Normalization: batch size = ',b_size)\\n\",\"        bn_model = FullyConnectedNet(hidden_dims, weight_scale=weight_scale, normalization=normalization_mode)\\n\",\"        bn_solver = Solver(bn_model, small_data,\\n\",\"                        num_epochs=n_epochs, batch_size=b_size,\\n\",\"                        update_rule='adam',\\n\",\"                        optim_config={\\n\",\"                          'learning_rate': lr,\\n\",\"                        },\\n\",\"                        verbose=False)\\n\",\"        bn_solver.train()\\n\",\"        bn_solvers.append(bn_solver)\\n\",\"        \\n\",\"    return bn_solvers, solver, batch_sizes\\n\",\"\\n\",\"batch_sizes = [5,10,50]\\n\",\"bn_solvers_bsize, solver_bsize, batch_sizes = run_batchsize_experiments('batchnorm')\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"No normalization: batch size =  5\\n\",\"Normalization: batch size =  5\\n\",\"Normalization: batch size =  10\\n\",\"Normalization: batch size =  50\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"uX7qGqJV6aAL\",\"colab\":{\"base_uri\":\"https://localhost:8080/\",\"height\":482},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1612699973690,\"user_tz\":-60,\"elapsed\":1949,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"bf72cfc6-6497-4cc5-8d5e-75c29ae5e979\"},\"source\":[\"plt.subplot(2, 1, 1)\\n\",\"plot_training_history('Training accuracy (Batch Normalization)','Epoch', solver_bsize, bn_solvers_bsize, \\\\\\n\",\"                      lambda x: x.train_acc_history, bl_marker='-^', bn_marker='-o', labels=batch_sizes)\\n\",\"plt.subplot(2, 1, 2)\\n\",\"plot_training_history('Validation accuracy (Batch Normalization)','Epoch', solver_bsize, bn_solvers_bsize, \\\\\\n\",\"                      lambda x: x.val_acc_history, bl_marker='-^', bn_marker='-o', labels=batch_sizes)\\n\",\"\\n\",\"plt.gcf().set_size_inches(15, 10)\\n\",\"plt.show()\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 1080x720 with 2 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}}]},{\"cell_type\":\"markdown\",\"metadata\":{\"tags\":[\"pdf-inline\"],\"id\":\"lnRRJ4SU6aAM\"},\"source\":[\"## Inline Question 2:\\n\",\"Describe the results of this experiment. What does this imply about the relationship between batch normalization and batch size? Why is this relationship observed?\\n\",\"\\n\",\"## Answer:\\n\",\"We notice that batchnorm is highly dependent on batch size used during training. This is due to the fact that the batchnorm normalization step are performed per feature (i.e. vertically), increasing the batch size will result in more accurate normalization step. As a result, we conclude that: In batchnorm, the higher the batch size, the better.\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"D8q7JNg16aAM\"},\"source\":[\"# Layer Normalization\\n\",\"Batch normalization has proved to be effective in making networks easier to train, but the dependency on batch size makes it less useful in complex networks which have a cap on the input batch size due to hardware limitations. \\n\",\"\\n\",\"Several alternatives to batch normalization have been proposed to mitigate this problem; one such technique is Layer Normalization [2]. Instead of normalizing over the batch, we normalize over the features. In other words, when using Layer Normalization, each feature vector corresponding to a single datapoint is normalized based on the sum of all terms within that feature vector.\\n\",\"\\n\",\"[2] [Ba, Jimmy Lei, Jamie Ryan Kiros, and Geoffrey E. Hinton. \\\"Layer Normalization.\\\" stat 1050 (2016): 21.](https://arxiv.org/pdf/1607.06450.pdf)\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"tags\":[\"pdf-inline\"],\"id\":\"x4QugiRw6aAM\"},\"source\":[\"## Inline Question 3:\\n\",\"Which of these data preprocessing steps is analogous to batch normalization, and which is analogous to layer normalization?\\n\",\"\\n\",\"1. Scaling each image in the dataset, so that the RGB channels for each row of pixels within an image sums up to 1.\\n\",\"2. Scaling each image in the dataset, so that the RGB channels for all pixels within an image sums up to 1.  \\n\",\"3. Subtracting the mean image of the dataset from each image in the dataset.\\n\",\"4. Setting all RGB values to either 0 or 1 depending on a given threshold.\\n\",\"\\n\",\"## Answer:\\n\",\"- Data preprocessing step that is analogous to the **batch** normalization: **3** (In scale and shift step, put $\\\\gamma = \\\\sigma$ and $\\\\beta = 0$. This will result to: $x \\\\leftarrow x - \\\\mu$).\\n\",\"- Data preprocessing step that is analogous to the **layer** normalization: **2** (put: batch size = #samples, $\\\\mu = 0$ and $\\\\beta = 0$. This will result to: $x \\\\leftarrow \\\\frac{x^2}{\\\\sum x^2}$).\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"nO5GubmJ6aAM\"},\"source\":[\"# Layer Normalization: Implementation\\n\",\"\\n\",\"Now you'll implement layer normalization. This step should be relatively straightforward, as conceptually the implementation is almost identical to that of batch normalization. One significant difference though is that for layer normalization, we do not keep track of the moving moments, and the testing phase is identical to the training phase, where the mean and variance are directly calculated per datapoint.\\n\",\"\\n\",\"Here's what you need to do:\\n\",\"\\n\",\"* In `cs231n/layers.py`, implement the forward pass for layer normalization in the function `layernorm_forward`. \\n\",\"\\n\",\"Run the cell below to check your results.\\n\",\"* In `cs231n/layers.py`, implement the backward pass for layer normalization in the function `layernorm_backward`. \\n\",\"\\n\",\"Run the second cell below to check your results.\\n\",\"* Modify `cs231n/classifiers/fc_net.py` to add layer normalization to the `FullyConnectedNet`. When the `normalization` flag is set to `\\\"layernorm\\\"` in the constructor, you should insert a layer normalization layer before each ReLU nonlinearity. \\n\",\"\\n\",\"Run the third cell below to run the batch size experiment on layer normalization.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"C4Rfxn1i6aAM\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1612701972989,\"user_tz\":-60,\"elapsed\":686,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"076fed46-c926-45e4-cf68-217d26b2eabc\"},\"source\":[\"# Check the training-time forward pass by checking means and variances\\n\",\"# of features both before and after layer normalization   \\n\",\"\\n\",\"# Simulate the forward pass for a two-layer network\\n\",\"np.random.seed(231)\\n\",\"N, D1, D2, D3 =4, 50, 60, 3\\n\",\"X = np.random.randn(N, D1)\\n\",\"W1 = np.random.randn(D1, D2)\\n\",\"W2 = np.random.randn(D2, D3)\\n\",\"a = np.maximum(0, X.dot(W1)).dot(W2)\\n\",\"\\n\",\"print('Before layer normalization:')\\n\",\"print_mean_std(a,axis=1)\\n\",\"\\n\",\"gamma = np.ones(D3)\\n\",\"beta = np.zeros(D3)\\n\",\"# Means should be close to zero and stds close to one\\n\",\"print('After layer normalization (gamma=1, beta=0)')\\n\",\"a_norm, _ = layernorm_forward(a, gamma, beta, {'mode': 'train'})\\n\",\"print_mean_std(a_norm,axis=1)\\n\",\"\\n\",\"gamma = np.asarray([3.0,3.0,3.0])\\n\",\"beta = np.asarray([5.0,5.0,5.0])\\n\",\"# Now means should be close to beta and stds close to gamma\\n\",\"print('After layer normalization (gamma=', gamma, ', beta=', beta, ')')\\n\",\"a_norm, _ = layernorm_forward(a, gamma, beta, {'mode': 'train'})\\n\",\"print_mean_std(a_norm,axis=1)\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Before layer normalization:\\n\",\"  means:  [-59.06673243 -47.60782686 -43.31137368 -26.40991744]\\n\",\"  stds:   [10.07429373 28.39478981 35.28360729  4.01831507]\\n\",\"\\n\",\"After layer normalization (gamma=1, beta=0)\\n\",\"  means:  [ 4.81096644e-16 -7.40148683e-17  2.22044605e-16 -5.92118946e-16]\\n\",\"  stds:   [0.99999995 0.99999999 1.         0.99999969]\\n\",\"\\n\",\"After layer normalization (gamma= [3. 3. 3.] , beta= [5. 5. 5.] )\\n\",\"  means:  [5. 5. 5. 5.]\\n\",\"  stds:   [2.99999985 2.99999998 2.99999999 2.99999907]\\n\",\"\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"_lTGIX-K6aAN\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1612703033065,\"user_tz\":-60,\"elapsed\":871,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"3083ab74-b5a7-47fe-a190-f43205b59a19\"},\"source\":[\"# Gradient check batchnorm backward pass\\n\",\"np.random.seed(231)\\n\",\"N, D = 4, 5\\n\",\"x = 5 * np.random.randn(N, D) + 12\\n\",\"gamma = np.random.randn(D)\\n\",\"beta = np.random.randn(D)\\n\",\"dout = np.random.randn(N, D)\\n\",\"\\n\",\"ln_param = {}\\n\",\"fx = lambda x: layernorm_forward(x, gamma, beta, ln_param)[0]\\n\",\"fg = lambda a: layernorm_forward(x, a, beta, ln_param)[0]\\n\",\"fb = lambda b: layernorm_forward(x, gamma, b, ln_param)[0]\\n\",\"\\n\",\"dx_num = eval_numerical_gradient_array(fx, x, dout)\\n\",\"da_num = eval_numerical_gradient_array(fg, gamma.copy(), dout)\\n\",\"db_num = eval_numerical_gradient_array(fb, beta.copy(), dout)\\n\",\"\\n\",\"_, cache = layernorm_forward(x, gamma, beta, ln_param)\\n\",\"dx, dgamma, dbeta = layernorm_backward(dout, cache)\\n\",\"\\n\",\"#You should expect to see relative errors between 1e-12 and 1e-8\\n\",\"print('dx error: ', rel_error(dx_num, dx))\\n\",\"print('dgamma error: ', rel_error(da_num, dgamma))\\n\",\"print('dbeta error: ', rel_error(db_num, dbeta))\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"dx error:  2.107279036881856e-09\\n\",\"dgamma error:  4.519489546032799e-12\\n\",\"dbeta error:  2.5842537629899423e-12\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"p5HA17-y6aAN\"},\"source\":[\"# Layer Normalization and batch size\\n\",\"\\n\",\"We will now run the previous batch size experiment with layer normalization instead of batch normalization. Compared to the previous experiment, you should see a markedly smaller influence of batch size on the training history!\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"HtJMOAkU6aAN\",\"colab\":{\"base_uri\":\"https://localhost:8080/\",\"height\":689},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1612703750024,\"user_tz\":-60,\"elapsed\":77290,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"a18ccd83-c27e-446e-dd28-5caaa3833756\"},\"source\":[\"ln_solvers_bsize, solver_bsize, batch_sizes = run_batchsize_experiments('layernorm')\\n\",\"\\n\",\"plt.subplot(2, 1, 1)\\n\",\"plot_training_history('Training accuracy (Layer Normalization)','Epoch', solver_bsize, ln_solvers_bsize, \\\\\\n\",\"                      lambda x: x.train_acc_history, bl_marker='-^', bn_marker='-o', labels=batch_sizes)\\n\",\"plt.subplot(2, 1, 2)\\n\",\"plot_training_history('Validation accuracy (Layer Normalization)','Epoch', solver_bsize, ln_solvers_bsize, \\\\\\n\",\"                      lambda x: x.val_acc_history, bl_marker='-^', bn_marker='-o', labels=batch_sizes)\\n\",\"\\n\",\"plt.gcf().set_size_inches(15, 10)\\n\",\"plt.show()\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"No normalization: batch size =  5\\n\",\"Normalization: batch size =  5\\n\",\"Normalization: batch size =  10\\n\",\"Normalization: batch size =  50\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 1080x720 with 2 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}}]},{\"cell_type\":\"markdown\",\"metadata\":{\"tags\":[\"pdf-inline\"],\"id\":\"RAGHQM4s6aAN\"},\"source\":[\"## Inline Question 4:\\n\",\"When is layer normalization likely to not work well, and why?\\n\",\"\\n\",\"1. Using it in a very deep network\\n\",\"2. Having a very small dimension of features\\n\",\"3. Having a high regularization term\\n\",\"\\n\",\"\\n\",\"## Answer:\\n\",\"- Layer normalization is likely to not work well in **(2)**. This is due to the fact that having a small number of features will lead to inaccurate normalizing step (subtract the mean, and divide by std), i.e. normalizing throughout the features will be wrong, caused by the lack of sufficient number of features.\\n\",\"\\n\",\"- This case is similar to having a small batch size in batch normalization.\"]}]}"
  },
  {
    "path": "cs231n/assignment2/ConvolutionalNetworks.ipynb",
    "content": "{\"nbformat\":4,\"nbformat_minor\":0,\"metadata\":{\"colab\":{\"name\":\"ConvolutionalNetworks.ipynb\",\"provenance\":[],\"collapsed_sections\":[],\"toc_visible\":true},\"kernelspec\":{\"name\":\"python3\",\"display_name\":\"Python 3\"}},\"cells\":[{\"cell_type\":\"code\",\"metadata\":{\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"id\":\"QFbCC-2M3Jv4\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1612876682216,\"user_tz\":-60,\"elapsed\":19766,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"d8d47e44-4663-4ba7-bcdd-375057f1dfee\"},\"source\":[\"# this mounts your Google Drive to the Colab VM.\\n\",\"from google.colab import drive\\n\",\"drive.mount('/content/drive', force_remount=True)\\n\",\"\\n\",\"# enter the foldername in your Drive where you have saved the unzipped\\n\",\"# assignment folder, e.g. 'cs231n/assignments/assignment3/'\\n\",\"FOLDERNAME = 'cs231n/assignments/assignment2/'\\n\",\"assert FOLDERNAME is not None, \\\"[!] Enter the foldername.\\\"\\n\",\"\\n\",\"# now that we've mounted your Drive, this ensures that\\n\",\"# the Python interpreter of the Colab VM can load\\n\",\"# python files from within it.\\n\",\"import sys\\n\",\"sys.path.append('/content/drive/My Drive/{}'.format(FOLDERNAME))\\n\",\"\\n\",\"# this downloads the CIFAR-10 dataset to your Drive\\n\",\"# if it doesn't already exist.\\n\",\"%cd drive/My\\\\ Drive/$FOLDERNAME/cs231n/datasets/\\n\",\"!bash get_datasets.sh\\n\",\"%cd /content\"],\"execution_count\":1,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Mounted at /content/drive\\n\",\"/content/drive/My Drive/cs231n/assignments/assignment2/cs231n/datasets\\n\",\"/content\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"tags\":[\"pdf-title\"],\"id\":\"nhUCjU-O3Jv_\"},\"source\":[\"# Convolutional Networks\\n\",\"\\n\",\"So far we have worked with deep fully-connected networks, using them to explore different optimization strategies and network architectures. Fully-connected networks are a good testbed for experimentation because they are very computationally efficient, but in practice all state-of-the-art results use convolutional networks instead.\\n\",\"\\n\",\"First you will implement several layer types that are used in convolutional networks. You will then use these layers to train a convolutional network on the CIFAR-10 dataset.\"]},{\"cell_type\":\"code\",\"metadata\":{\"tags\":[\"pdf-ignore\"],\"id\":\"Xn6cRqKl3JwA\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1612876691681,\"user_tz\":-60,\"elapsed\":4942,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}}},\"source\":[\"# As usual, a bit of setup\\n\",\"import numpy as np\\n\",\"import matplotlib.pyplot as plt\\n\",\"from cs231n.classifiers.cnn import *\\n\",\"from cs231n.data_utils import get_CIFAR10_data\\n\",\"from cs231n.gradient_check import eval_numerical_gradient_array, eval_numerical_gradient\\n\",\"from cs231n.layers import *\\n\",\"from cs231n.fast_layers import *\\n\",\"from cs231n.solver import Solver\\n\",\"\\n\",\"%matplotlib inline\\n\",\"plt.rcParams['figure.figsize'] = (10.0, 8.0) # set default size of plots\\n\",\"plt.rcParams['image.interpolation'] = 'nearest'\\n\",\"plt.rcParams['image.cmap'] = 'gray'\\n\",\"\\n\",\"# for auto-reloading external modules\\n\",\"# see http://stackoverflow.com/questions/1907993/autoreload-of-modules-in-ipython\\n\",\"%load_ext autoreload\\n\",\"%autoreload 2\\n\",\"\\n\",\"def rel_error(x, y):\\n\",\"  \\\"\\\"\\\" returns relative error \\\"\\\"\\\"\\n\",\"  return np.max(np.abs(x - y) / (np.maximum(1e-8, np.abs(x) + np.abs(y))))\"],\"execution_count\":2,\"outputs\":[]},{\"cell_type\":\"code\",\"metadata\":{\"tags\":[\"pdf-ignore\"],\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"id\":\"IyufzEZK3JwB\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1612876698094,\"user_tz\":-60,\"elapsed\":6401,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"37003256-36e5-4856-9b10-419be4251266\"},\"source\":[\"# Load the (preprocessed) CIFAR10 data.\\n\",\"\\n\",\"data = get_CIFAR10_data()\\n\",\"for k, v in data.items():\\n\",\"  print('%s: ' % k, v.shape)\"],\"execution_count\":3,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"X_train:  (49000, 3, 32, 32)\\n\",\"y_train:  (49000,)\\n\",\"X_val:  (1000, 3, 32, 32)\\n\",\"y_val:  (1000,)\\n\",\"X_test:  (1000, 3, 32, 32)\\n\",\"y_test:  (1000,)\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"o4HEWSWV3JwB\"},\"source\":[\"# Convolution: Naive forward pass\\n\",\"The core of a convolutional network is the convolution operation. In the file `cs231n/layers.py`, implement the forward pass for the convolution layer in the function `conv_forward_naive`. \\n\",\"\\n\",\"You don't have to worry too much about efficiency at this point; just write the code in whatever way you find most clear.\\n\",\"\\n\",\"You can test your implementation by running the following:\"]},{\"cell_type\":\"code\",\"metadata\":{\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"id\":\"Ny8zvbdc3JwC\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1612876698095,\"user_tz\":-60,\"elapsed\":5376,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"b43920fc-ba6d-49bd-c5e9-0a8f0048ddf6\"},\"source\":[\"x_shape = (2, 3, 4, 4)\\n\",\"w_shape = (3, 3, 4, 4)\\n\",\"x = np.linspace(-0.1, 0.5, num=np.prod(x_shape)).reshape(x_shape)\\n\",\"w = np.linspace(-0.2, 0.3, num=np.prod(w_shape)).reshape(w_shape)\\n\",\"b = np.linspace(-0.1, 0.2, num=3)\\n\",\"\\n\",\"conv_param = {'stride': 2, 'pad': 1}\\n\",\"out, _ = conv_forward_naive(x, w, b, conv_param)\\n\",\"correct_out = np.array([[[[-0.08759809, -0.10987781],\\n\",\"                           [-0.18387192, -0.2109216 ]],\\n\",\"                          [[ 0.21027089,  0.21661097],\\n\",\"                           [ 0.22847626,  0.23004637]],\\n\",\"                          [[ 0.50813986,  0.54309974],\\n\",\"                           [ 0.64082444,  0.67101435]]],\\n\",\"                         [[[-0.98053589, -1.03143541],\\n\",\"                           [-1.19128892, -1.24695841]],\\n\",\"                          [[ 0.69108355,  0.66880383],\\n\",\"                           [ 0.59480972,  0.56776003]],\\n\",\"                          [[ 2.36270298,  2.36904306],\\n\",\"                           [ 2.38090835,  2.38247847]]]])\\n\",\"\\n\",\"# Compare your output to ours; difference should be around e-8\\n\",\"print('Testing conv_forward_naive')\\n\",\"print('difference: ', rel_error(out, correct_out))\"],\"execution_count\":4,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Testing conv_forward_naive\\n\",\"difference:  2.2121476417505994e-08\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"lOT93dc93JwC\"},\"source\":[\"# Aside: Image processing via convolutions\\n\",\"\\n\",\"As fun way to both check your implementation and gain a better understanding of the type of operation that convolutional layers can perform, we will set up an input containing two images and manually set up filters that perform common image processing operations (grayscale conversion and edge detection). The convolution forward pass will apply these operations to each of the input images. We can then visualize the results as a sanity check.\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"NFl_nzrJ3JwD\"},\"source\":[\"## Colab Users Only\\n\",\"\\n\",\"Please execute the below cell to copy two cat images to the Colab VM.\"]},{\"cell_type\":\"code\",\"metadata\":{\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"id\":\"lv2TSqoa3JwD\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1612876699101,\"user_tz\":-60,\"elapsed\":1928,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"a6d9cfa8-39b2-4399-e361-3d792e8c9c31\"},\"source\":[\"# Colab users only!\\n\",\"%mkdir -p cs231n/notebook_images\\n\",\"%cd drive/My\\\\ Drive/$FOLDERNAME/cs231n\\n\",\"%cp -r notebook_images/ /content/cs231n/\\n\",\"%cd /content/\"],\"execution_count\":5,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"/content/drive/My Drive/cs231n/assignments/assignment2/cs231n\\n\",\"/content\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"code\",\"metadata\":{\"tags\":[\"pdf-ignore-input\"],\"colab\":{\"base_uri\":\"https://localhost:8080/\",\"height\":448},\"id\":\"8jDmJlrU3JwD\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1612876701206,\"user_tz\":-60,\"elapsed\":3213,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"be02b57a-c58e-42bb-f3ff-bd3eca97b748\"},\"source\":[\"from imageio import imread\\n\",\"from PIL import Image\\n\",\"\\n\",\"kitten = imread('cs231n/notebook_images/kitten.jpg')\\n\",\"puppy = imread('cs231n/notebook_images/puppy.jpg')\\n\",\"# kitten is wide, and puppy is already square\\n\",\"d = kitten.shape[1] - kitten.shape[0]\\n\",\"kitten_cropped = kitten[:, d//2:-d//2, :]\\n\",\"\\n\",\"img_size = 200   # Make this smaller if it runs too slow\\n\",\"resized_puppy = np.array(Image.fromarray(puppy).resize((img_size, img_size)))\\n\",\"resized_kitten = np.array(Image.fromarray(kitten_cropped).resize((img_size, img_size)))\\n\",\"x = np.zeros((2, 3, img_size, img_size))\\n\",\"x[0, :, :, :] = resized_puppy.transpose((2, 0, 1))\\n\",\"x[1, :, :, :] = resized_kitten.transpose((2, 0, 1))\\n\",\"\\n\",\"# Set up a convolutional weights holding 2 filters, each 3x3\\n\",\"w = np.zeros((2, 3, 3, 3))\\n\",\"\\n\",\"# The first filter converts the image to grayscale.\\n\",\"# Set up the red, green, and blue channels of the filter.\\n\",\"w[0, 0, :, :] = [[0, 0, 0], [0, 0.3, 0], [0, 0, 0]]\\n\",\"w[0, 1, :, :] = [[0, 0, 0], [0, 0.6, 0], [0, 0, 0]]\\n\",\"w[0, 2, :, :] = [[0, 0, 0], [0, 0.1, 0], [0, 0, 0]]\\n\",\"\\n\",\"# Second filter detects horizontal edges in the blue channel.\\n\",\"w[1, 2, :, :] = [[1, 2, 1], [0, 0, 0], [-1, -2, -1]]\\n\",\"\\n\",\"# Vector of biases. We don't need any bias for the grayscale\\n\",\"# filter, but for the edge detection filter we want to add 128\\n\",\"# to each output so that nothing is negative.\\n\",\"b = np.array([0, 128])\\n\",\"\\n\",\"# Compute the result of convolving each input in x with each filter in w,\\n\",\"# offsetting by b, and storing the results in out.\\n\",\"out, _ = conv_forward_naive(x, w, b, {'stride': 1, 'pad': 1})\\n\",\"\\n\",\"def imshow_no_ax(img, normalize=True):\\n\",\"    \\\"\\\"\\\" Tiny helper to show images as uint8 and remove axis labels \\\"\\\"\\\"\\n\",\"    if normalize:\\n\",\"        img_max, img_min = np.max(img), np.min(img)\\n\",\"        img = 255.0 * (img - img_min) / (img_max - img_min)\\n\",\"    plt.imshow(img.astype('uint8'))\\n\",\"    plt.gca().axis('off')\\n\",\"\\n\",\"# Show the original images and the results of the conv operation\\n\",\"plt.subplot(2, 3, 1)\\n\",\"imshow_no_ax(puppy, normalize=False)\\n\",\"plt.title('Original image')\\n\",\"plt.subplot(2, 3, 2)\\n\",\"imshow_no_ax(out[0, 0])\\n\",\"plt.title('Grayscale')\\n\",\"plt.subplot(2, 3, 3)\\n\",\"imshow_no_ax(out[0, 1])\\n\",\"plt.title('Edges')\\n\",\"plt.subplot(2, 3, 4)\\n\",\"imshow_no_ax(kitten_cropped, normalize=False)\\n\",\"plt.subplot(2, 3, 5)\\n\",\"imshow_no_ax(out[1, 0])\\n\",\"plt.subplot(2, 3, 6)\\n\",\"imshow_no_ax(out[1, 1])\\n\",\"plt.show()\"],\"execution_count\":6,\"outputs\":[{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 720x576 with 6 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"DmR8sb0N3JwE\"},\"source\":[\"# Convolution: Naive backward pass\\n\",\"Implement the backward pass for the convolution operation in the function `conv_backward_naive` in the file `cs231n/layers.py`. Again, you don't need to worry too much about computational efficiency.\\n\",\"\\n\",\"When you are done, run the following to check your backward pass with a numeric gradient check.\"]},{\"cell_type\":\"code\",\"metadata\":{\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"id\":\"nSP0IqeC3JwF\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1612818259699,\"user_tz\":-60,\"elapsed\":6804,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"e2f329c2-7286-458b-e31a-57771ecdd405\"},\"source\":[\"np.random.seed(231)\\n\",\"x = np.random.randn(4, 3, 5, 5)\\n\",\"w = np.random.randn(2, 3, 3, 3)\\n\",\"b = np.random.randn(2,)\\n\",\"dout = np.random.randn(4, 2, 5, 5)\\n\",\"conv_param = {'stride': 1, 'pad': 1}\\n\",\"\\n\",\"dx_num = eval_numerical_gradient_array(lambda x: conv_forward_naive(x, w, b, conv_param)[0], x, dout)\\n\",\"dw_num = eval_numerical_gradient_array(lambda w: conv_forward_naive(x, w, b, conv_param)[0], w, dout)\\n\",\"db_num = eval_numerical_gradient_array(lambda b: conv_forward_naive(x, w, b, conv_param)[0], b, dout)\\n\",\"\\n\",\"out, cache = conv_forward_naive(x, w, b, conv_param)\\n\",\"dx, dw, db = conv_backward_naive(dout, cache)\\n\",\"\\n\",\"# Your errors should be around e-8 or less.\\n\",\"print('Testing conv_backward_naive function')\\n\",\"print('dx error: ', rel_error(dx, dx_num))\\n\",\"print('dw error: ', rel_error(dw, dw_num))\\n\",\"print('db error: ', rel_error(db, db_num))\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Testing conv_backward_naive function\\n\",\"dx error:  1.159803161159293e-08\\n\",\"dw error:  2.2471264748452487e-10\\n\",\"db error:  3.37264006649648e-11\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"pXquGQqp3JwF\"},\"source\":[\"# Max-Pooling: Naive forward\\n\",\"Implement the forward pass for the max-pooling operation in the function `max_pool_forward_naive` in the file `cs231n/layers.py`. Again, don't worry too much about computational efficiency.\\n\",\"\\n\",\"Check your implementation by running the following:\"]},{\"cell_type\":\"code\",\"metadata\":{\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"id\":\"4ly0ylfN3JwF\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1612818259701,\"user_tz\":-60,\"elapsed\":5147,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"9c6a824d-24ad-47f9-e127-fb9018f66ff3\"},\"source\":[\"x_shape = (2, 3, 4, 4)\\n\",\"x = np.linspace(-0.3, 0.4, num=np.prod(x_shape)).reshape(x_shape)\\n\",\"pool_param = {'pool_width': 2, 'pool_height': 2, 'stride': 2}\\n\",\"\\n\",\"out, _ = max_pool_forward_naive(x, pool_param)\\n\",\"\\n\",\"correct_out = np.array([[[[-0.26315789, -0.24842105],\\n\",\"                          [-0.20421053, -0.18947368]],\\n\",\"                         [[-0.14526316, -0.13052632],\\n\",\"                          [-0.08631579, -0.07157895]],\\n\",\"                         [[-0.02736842, -0.01263158],\\n\",\"                          [ 0.03157895,  0.04631579]]],\\n\",\"                        [[[ 0.09052632,  0.10526316],\\n\",\"                          [ 0.14947368,  0.16421053]],\\n\",\"                         [[ 0.20842105,  0.22315789],\\n\",\"                          [ 0.26736842,  0.28210526]],\\n\",\"                         [[ 0.32631579,  0.34105263],\\n\",\"                          [ 0.38526316,  0.4       ]]]])\\n\",\"\\n\",\"# Compare your output with ours. Difference should be on the order of e-8.\\n\",\"print('Testing max_pool_forward_naive function:')\\n\",\"print('difference: ', rel_error(out, correct_out))\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Testing max_pool_forward_naive function:\\n\",\"difference:  4.1666665157267834e-08\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"imiJmJDD3JwG\"},\"source\":[\"# Max-Pooling: Naive backward\\n\",\"Implement the backward pass for the max-pooling operation in the function `max_pool_backward_naive` in the file `cs231n/layers.py`. You don't need to worry about computational efficiency.\\n\",\"\\n\",\"Check your implementation with numeric gradient checking by running the following:\"]},{\"cell_type\":\"code\",\"metadata\":{\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"id\":\"0GYm133A3JwH\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1612818260204,\"user_tz\":-60,\"elapsed\":3990,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"9c81d3c1-6b3c-4117-e52d-8f7506fa7cf3\"},\"source\":[\"np.random.seed(231)\\n\",\"x = np.random.randn(3, 2, 8, 8)\\n\",\"dout = np.random.randn(3, 2, 4, 4)\\n\",\"pool_param = {'pool_height': 2, 'pool_width': 2, 'stride': 2}\\n\",\"\\n\",\"dx_num = eval_numerical_gradient_array(lambda x: max_pool_forward_naive(x, pool_param)[0], x, dout)\\n\",\"\\n\",\"out, cache = max_pool_forward_naive(x, pool_param)\\n\",\"dx = max_pool_backward_naive(dout, cache)\\n\",\"\\n\",\"# Your error should be on the order of e-12\\n\",\"print('Testing max_pool_backward_naive function:')\\n\",\"print('dx error: ', rel_error(dx, dx_num))\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Testing max_pool_backward_naive function:\\n\",\"dx error:  3.27562514223145e-12\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"j2ZrQqAY3JwH\"},\"source\":[\"# Fast layers\\n\",\"\\n\",\"Making convolution and pooling layers fast can be challenging. To spare you the pain, we've provided fast implementations of the forward and backward passes for convolution and pooling layers in the file `cs231n/fast_layers.py`.\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"f2wj5TMr3JwH\"},\"source\":[\"The fast convolution implementation depends on a Cython extension; to compile it either execute the local development cell (option A) if you are developing locally, or the Colab cell (option B) if you are running this assignment in Colab.\\n\",\"\\n\",\"---\\n\",\"\\n\",\"**Very Important, Please Read**. For **both** option A and B, you have to **restart** the notebook after compiling the cython extension. In Colab, please save the notebook `File -> Save`, then click `Runtime -> Restart Runtime -> Yes`. This will restart the kernel which means local variables will be lost. Just re-execute the cells from top to bottom and skip the cell below as you only need to run it once for the compilation step.\\n\",\"\\n\",\"---\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"89osNLXR3JwI\"},\"source\":[\"## Option A: Local Development\\n\",\"\\n\",\"Go to the cs231n directory and execute the following in your terminal:\\n\",\"\\n\",\"```bash\\n\",\"python setup.py build_ext --inplace\\n\",\"```\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"2zlDQOTH3JwI\"},\"source\":[\"## Option B: Colab\\n\",\"\\n\",\"Execute the cell below only only **ONCE**.\"]},{\"cell_type\":\"code\",\"metadata\":{\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"id\":\"9sgWYtC13JwI\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1612734730476,\"user_tz\":-60,\"elapsed\":10435,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"5388788c-c6c3-4b84-a4a0-5e65a3a5ce28\"},\"source\":[\"%cd drive/My\\\\ Drive/$FOLDERNAME/cs231n/\\n\",\"!python setup.py build_ext --inplace\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"=========== You can safely ignore the message below if you are NOT working on ConvolutionalNetworks.ipynb ===========\\n\",\"\\tYou will need to compile a Cython extension for a portion of this assignment.\\n\",\"\\tThe instructions to do this will be given in a section of the notebook below.\\n\",\"\\tThere will be an option for Colab users and another for Jupyter (local) users.\\n\",\"/content/drive/My Drive/cs231n/assignments/assignment2/cs231n\\n\",\"Compiling im2col_cython.pyx because it changed.\\n\",\"[1/1] Cythonizing im2col_cython.pyx\\n\",\"/usr/local/lib/python3.6/dist-packages/Cython/Compiler/Main.py:369: FutureWarning: Cython directive 'language_level' not set, using 2 for now (Py2). This will change in a later release! File: /content/drive/My Drive/cs231n/assignments/assignment2/cs231n/im2col_cython.pyx\\n\",\"  tree = Parsing.p_module(s, pxd, full_module_name)\\n\",\"running build_ext\\n\",\"building 'im2col_cython' extension\\n\",\"creating build\\n\",\"creating build/temp.linux-x86_64-3.6\\n\",\"x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/local/lib/python3.6/dist-packages/numpy/core/include -I/usr/include/python3.6m -c im2col_cython.c -o build/temp.linux-x86_64-3.6/im2col_cython.o\\n\",\"In file included from \\u001b[01m\\u001b[K/usr/local/lib/python3.6/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1822:0\\u001b[m\\u001b[K,\\n\",\"                 from \\u001b[01m\\u001b[K/usr/local/lib/python3.6/dist-packages/numpy/core/include/numpy/ndarrayobject.h:12\\u001b[m\\u001b[K,\\n\",\"                 from \\u001b[01m\\u001b[K/usr/local/lib/python3.6/dist-packages/numpy/core/include/numpy/arrayobject.h:4\\u001b[m\\u001b[K,\\n\",\"                 from \\u001b[01m\\u001b[Kim2col_cython.c:629\\u001b[m\\u001b[K:\\n\",\"\\u001b[01m\\u001b[K/usr/local/lib/python3.6/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:17:2:\\u001b[m\\u001b[K \\u001b[01;35m\\u001b[Kwarning: \\u001b[m\\u001b[K#warning \\\"Using deprecated NumPy API, disable it with \\\" \\\"#define NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION\\\" [\\u001b[01;35m\\u001b[K-Wcpp\\u001b[m\\u001b[K]\\n\",\" #\\u001b[01;35m\\u001b[Kwarning\\u001b[m\\u001b[K \\\"Using deprecated NumPy API, disable it with \\\" \\\\\\n\",\"  \\u001b[01;35m\\u001b[K^~~~~~~\\u001b[m\\u001b[K\\n\",\"x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-3.6/im2col_cython.o -o /content/drive/My Drive/cs231n/assignments/assignment2/cs231n/im2col_cython.cpython-36m-x86_64-linux-gnu.so\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"hXpuHcgm3JwI\"},\"source\":[\"The API for the fast versions of the convolution and pooling layers is exactly the same as the naive versions that you implemented above: the forward pass receives data, weights, and parameters and produces outputs and a cache object; the backward pass recieves upstream derivatives and the cache object and produces gradients with respect to the data and weights.\\n\",\"\\n\",\"**NOTE:** The fast implementation for pooling will only perform optimally if the pooling regions are non-overlapping and tile the input. If these conditions are not met then the fast pooling implementation will not be much faster than the naive implementation.\\n\",\"\\n\",\"You can compare the performance of the naive and fast versions of these layers by running the following:\"]},{\"cell_type\":\"code\",\"metadata\":{\"scrolled\":true,\"id\":\"KBnpWL5S3JwI\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1612876725468,\"user_tz\":-60,\"elapsed\":11928,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"2a33a193-87e8-4eff-e790-0e83a56a0de3\"},\"source\":[\"# Rel errors should be around e-9 or less\\n\",\"from cs231n.fast_layers import conv_forward_fast, conv_backward_fast\\n\",\"from time import time\\n\",\"np.random.seed(231)\\n\",\"x = np.random.randn(100, 3, 31, 31)\\n\",\"w = np.random.randn(25, 3, 3, 3)\\n\",\"b = np.random.randn(25,)\\n\",\"dout = np.random.randn(100, 25, 16, 16)\\n\",\"conv_param = {'stride': 2, 'pad': 1}\\n\",\"\\n\",\"t0 = time()\\n\",\"out_naive, cache_naive = conv_forward_naive(x, w, b, conv_param)\\n\",\"t1 = time()\\n\",\"out_fast, cache_fast = conv_forward_fast(x, w, b, conv_param)\\n\",\"t2 = time()\\n\",\"\\n\",\"print('Testing conv_forward_fast:')\\n\",\"print('Naive: %fs' % (t1 - t0))\\n\",\"print('Fast: %fs' % (t2 - t1))\\n\",\"print('Speedup: %fx' % ((t1 - t0) / (t2 - t1)))\\n\",\"print('Difference: ', rel_error(out_naive, out_fast))\\n\",\"\\n\",\"t0 = time()\\n\",\"dx_naive, dw_naive, db_naive = conv_backward_naive(dout, cache_naive)\\n\",\"t1 = time()\\n\",\"dx_fast, dw_fast, db_fast = conv_backward_fast(dout, cache_fast)\\n\",\"t2 = time()\\n\",\"\\n\",\"print('\\\\nTesting conv_backward_fast:')\\n\",\"print('Naive: %fs' % (t1 - t0))\\n\",\"print('Fast: %fs' % (t2 - t1))\\n\",\"print('Speedup: %fx' % ((t1 - t0) / (t2 - t1)))\\n\",\"print('dx difference: ', rel_error(dx_naive, dx_fast))\\n\",\"print('dw difference: ', rel_error(dw_naive, dw_fast))\\n\",\"print('db difference: ', rel_error(db_naive, db_fast))\"],\"execution_count\":7,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Testing conv_forward_fast:\\n\",\"Naive: 3.528322s\\n\",\"Fast: 0.010437s\\n\",\"Speedup: 338.074131x\\n\",\"Difference:  4.926407851494105e-11\\n\",\"\\n\",\"Testing conv_backward_fast:\\n\",\"Naive: 7.174038s\\n\",\"Fast: 0.014395s\\n\",\"Speedup: 498.386683x\\n\",\"dx difference:  1.949764775345631e-11\\n\",\"dw difference:  3.681156828004736e-13\\n\",\"db difference:  3.481354613192702e-14\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"srGWpq4I3JwJ\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1612876728216,\"user_tz\":-60,\"elapsed\":2735,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"a11efa01-4a22-4e1e-beef-01725d6197c8\"},\"source\":[\"# Relative errors should be close to 0.0\\n\",\"from cs231n.fast_layers import max_pool_forward_fast, max_pool_backward_fast\\n\",\"np.random.seed(231)\\n\",\"x = np.random.randn(100, 3, 32, 32)\\n\",\"dout = np.random.randn(100, 3, 16, 16)\\n\",\"pool_param = {'pool_height': 2, 'pool_width': 2, 'stride': 2}\\n\",\"\\n\",\"t0 = time()\\n\",\"out_naive, cache_naive = max_pool_forward_naive(x, pool_param)\\n\",\"t1 = time()\\n\",\"out_fast, cache_fast = max_pool_forward_fast(x, pool_param)\\n\",\"t2 = time()\\n\",\"\\n\",\"print('Testing pool_forward_fast:')\\n\",\"print('Naive: %fs' % (t1 - t0))\\n\",\"print('fast: %fs' % (t2 - t1))\\n\",\"print('speedup: %fx' % ((t1 - t0) / (t2 - t1)))\\n\",\"print('difference: ', rel_error(out_naive, out_fast))\\n\",\"\\n\",\"t0 = time()\\n\",\"dx_naive = max_pool_backward_naive(dout, cache_naive)\\n\",\"t1 = time()\\n\",\"dx_fast = max_pool_backward_fast(dout, cache_fast)\\n\",\"t2 = time()\\n\",\"\\n\",\"print('\\\\nTesting pool_backward_fast:')\\n\",\"print('Naive: %fs' % (t1 - t0))\\n\",\"print('fast: %fs' % (t2 - t1))\\n\",\"print('speedup: %fx' % ((t1 - t0) / (t2 - t1)))\\n\",\"print('dx difference: ', rel_error(dx_naive, dx_fast))\"],\"execution_count\":8,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Testing pool_forward_fast:\\n\",\"Naive: 0.290965s\\n\",\"fast: 0.002990s\\n\",\"speedup: 97.320175x\\n\",\"difference:  0.0\\n\",\"\\n\",\"Testing pool_backward_fast:\\n\",\"Naive: 0.631516s\\n\",\"fast: 0.013132s\\n\",\"speedup: 48.089506x\\n\",\"dx difference:  0.0\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"GoN9sVZM3JwJ\"},\"source\":[\"# Convolutional \\\"sandwich\\\" layers\\n\",\"Previously we introduced the concept of \\\"sandwich\\\" layers that combine multiple operations into commonly used patterns. In the file `cs231n/layer_utils.py` you will find sandwich layers that implement a few commonly used patterns for convolutional networks. Run the cells below to sanity check they're working.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"jf_9Ncqt3JwJ\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1612876730369,\"user_tz\":-60,\"elapsed\":1540,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"9d7305b1-cfae-4422-d8ed-8dd69312d151\"},\"source\":[\"from cs231n.layer_utils import conv_relu_pool_forward, conv_relu_pool_backward\\n\",\"np.random.seed(231)\\n\",\"x = np.random.randn(2, 3, 16, 16)\\n\",\"w = np.random.randn(3, 3, 3, 3)\\n\",\"b = np.random.randn(3,)\\n\",\"dout = np.random.randn(2, 3, 8, 8)\\n\",\"conv_param = {'stride': 1, 'pad': 1}\\n\",\"pool_param = {'pool_height': 2, 'pool_width': 2, 'stride': 2}\\n\",\"\\n\",\"out, cache = conv_relu_pool_forward(x, w, b, conv_param, pool_param)\\n\",\"dx, dw, db = conv_relu_pool_backward(dout, cache)\\n\",\"\\n\",\"dx_num = eval_numerical_gradient_array(lambda x: conv_relu_pool_forward(x, w, b, conv_param, pool_param)[0], x, dout)\\n\",\"dw_num = eval_numerical_gradient_array(lambda w: conv_relu_pool_forward(x, w, b, conv_param, pool_param)[0], w, dout)\\n\",\"db_num = eval_numerical_gradient_array(lambda b: conv_relu_pool_forward(x, w, b, conv_param, pool_param)[0], b, dout)\\n\",\"\\n\",\"# Relative errors should be around e-8 or less\\n\",\"print('Testing conv_relu_pool')\\n\",\"print('dx error: ', rel_error(dx_num, dx))\\n\",\"print('dw error: ', rel_error(dw_num, dw))\\n\",\"print('db error: ', rel_error(db_num, db))\"],\"execution_count\":9,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Testing conv_relu_pool\\n\",\"dx error:  9.591132621921372e-09\\n\",\"dw error:  5.802391137330214e-09\\n\",\"db error:  1.0146343411762047e-09\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"Hb_wMTtP3JwJ\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1612876734383,\"user_tz\":-60,\"elapsed\":616,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"8d047c55-9d58-4eac-d09f-d52ac9e1db0c\"},\"source\":[\"from cs231n.layer_utils import conv_relu_forward, conv_relu_backward\\n\",\"np.random.seed(231)\\n\",\"x = np.random.randn(2, 3, 8, 8)\\n\",\"w = np.random.randn(3, 3, 3, 3)\\n\",\"b = np.random.randn(3,)\\n\",\"dout = np.random.randn(2, 3, 8, 8)\\n\",\"conv_param = {'stride': 1, 'pad': 1}\\n\",\"\\n\",\"out, cache = conv_relu_forward(x, w, b, conv_param)\\n\",\"dx, dw, db = conv_relu_backward(dout, cache)\\n\",\"\\n\",\"dx_num = eval_numerical_gradient_array(lambda x: conv_relu_forward(x, w, b, conv_param)[0], x, dout)\\n\",\"dw_num = eval_numerical_gradient_array(lambda w: conv_relu_forward(x, w, b, conv_param)[0], w, dout)\\n\",\"db_num = eval_numerical_gradient_array(lambda b: conv_relu_forward(x, w, b, conv_param)[0], b, dout)\\n\",\"\\n\",\"# Relative errors should be around e-8 or less\\n\",\"print('Testing conv_relu:')\\n\",\"print('dx error: ', rel_error(dx_num, dx))\\n\",\"print('dw error: ', rel_error(dw_num, dw))\\n\",\"print('db error: ', rel_error(db_num, db))\"],\"execution_count\":10,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Testing conv_relu:\\n\",\"dx error:  1.5218619980349303e-09\\n\",\"dw error:  2.702022646099404e-10\\n\",\"db error:  1.451272393591721e-10\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"li4MbrXQ3JwJ\"},\"source\":[\"# Three-layer ConvNet\\n\",\"Now that you have implemented all the necessary layers, we can put them together into a simple convolutional network.\\n\",\"\\n\",\"Open the file `cs231n/classifiers/cnn.py` and complete the implementation of the `ThreeLayerConvNet` class. Remember you can use the fast/sandwich layers (already imported for you) in your implementation. Run the following cells to help you debug:\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"7BbtzKPl3JwK\"},\"source\":[\"## Sanity check loss\\n\",\"After you build a new network, one of the first things you should do is sanity check the loss. When we use the softmax loss, we expect the loss for random weights (and no regularization) to be about `log(C)` for `C` classes. When we add regularization the loss should go up slightly.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"o0TcBVSn3JwK\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1612793117744,\"user_tz\":-60,\"elapsed\":2224,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"e460f79e-61b4-44bc-8ca7-500fc10a3236\"},\"source\":[\"model = ThreeLayerConvNet()\\n\",\"\\n\",\"N = 50\\n\",\"X = np.random.randn(N, 3, 32, 32)\\n\",\"y = np.random.randint(10, size=N)\\n\",\"\\n\",\"loss, grads = model.loss(X, y)\\n\",\"print('Initial loss (no regularization): ', loss)\\n\",\"\\n\",\"model.reg = 0.5\\n\",\"loss, grads = model.loss(X, y)\\n\",\"print('Initial loss (with regularization): ', loss)\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Initial loss (no regularization):  2.3025850635890874\\n\",\"Initial loss (with regularization):  2.508600069296828\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"eggHIiNY3JwK\"},\"source\":[\"## Gradient check\\n\",\"After the loss looks reasonable, use numeric gradient checking to make sure that your backward pass is correct. When you use numeric gradient checking you should use a small amount of artifical data and a small number of neurons at each layer. Note: correct implementations may still have relative errors up to the order of e-2.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"WhS9Aybr3JwK\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1612794196376,\"user_tz\":-60,\"elapsed\":3510,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"51f2aa34-eaf3-4bbb-ce86-c7f3f2cc502d\"},\"source\":[\"num_inputs = 2\\n\",\"input_dim = (3, 16, 16)\\n\",\"reg = 0.0\\n\",\"num_classes = 10\\n\",\"np.random.seed(231)\\n\",\"X = np.random.randn(num_inputs, *input_dim)\\n\",\"y = np.random.randint(num_classes, size=num_inputs)\\n\",\"\\n\",\"model = ThreeLayerConvNet(num_filters=3, filter_size=3,\\n\",\"                          input_dim=input_dim, hidden_dim=7,\\n\",\"                          dtype=np.float64)\\n\",\"loss, grads = model.loss(X, y)\\n\",\"# Errors should be small, but correct implementations may have\\n\",\"# relative errors up to the order of e-2\\n\",\"for param_name in sorted(grads):\\n\",\"    f = lambda _: model.loss(X, y)[0]\\n\",\"    param_grad_num = eval_numerical_gradient(f, model.params[param_name], verbose=False, h=1e-6)\\n\",\"    e = rel_error(param_grad_num, grads[param_name])\\n\",\"    print('%s max relative error: %e' % (param_name, rel_error(param_grad_num, grads[param_name])))\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"W1 max relative error: 1.380104e-04\\n\",\"W2 max relative error: 1.822723e-02\\n\",\"W3 max relative error: 3.064049e-04\\n\",\"b1 max relative error: 3.477652e-05\\n\",\"b2 max relative error: 2.516375e-03\\n\",\"b3 max relative error: 7.945660e-10\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"CLa6dWiH3JwK\"},\"source\":[\"## Overfit small data\\n\",\"A nice trick is to train your model with just a few training samples. You should be able to overfit small datasets, which will result in very high training accuracy and comparatively low validation accuracy.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"yQbv3Wa63JwL\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1612794266837,\"user_tz\":-60,\"elapsed\":40564,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"d4123cf6-e6e3-4144-e681-3673feb60d92\"},\"source\":[\"np.random.seed(231)\\n\",\"\\n\",\"num_train = 100\\n\",\"small_data = {\\n\",\"  'X_train': data['X_train'][:num_train],\\n\",\"  'y_train': data['y_train'][:num_train],\\n\",\"  'X_val': data['X_val'],\\n\",\"  'y_val': data['y_val'],\\n\",\"}\\n\",\"\\n\",\"model = ThreeLayerConvNet(weight_scale=1e-2)\\n\",\"\\n\",\"solver = Solver(model, small_data,\\n\",\"                num_epochs=15, batch_size=50,\\n\",\"                update_rule='adam',\\n\",\"                optim_config={\\n\",\"                  'learning_rate': 1e-3,\\n\",\"                },\\n\",\"                verbose=True, print_every=1)\\n\",\"solver.train()\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"(Iteration 1 / 30) loss: 2.414060\\n\",\"(Epoch 0 / 15) train acc: 0.200000; val_acc: 0.137000\\n\",\"(Iteration 2 / 30) loss: 3.102925\\n\",\"(Epoch 1 / 15) train acc: 0.140000; val_acc: 0.087000\\n\",\"(Iteration 3 / 30) loss: 2.270330\\n\",\"(Iteration 4 / 30) loss: 2.096705\\n\",\"(Epoch 2 / 15) train acc: 0.240000; val_acc: 0.094000\\n\",\"(Iteration 5 / 30) loss: 1.838880\\n\",\"(Iteration 6 / 30) loss: 1.934188\\n\",\"(Epoch 3 / 15) train acc: 0.510000; val_acc: 0.173000\\n\",\"(Iteration 7 / 30) loss: 1.827912\\n\",\"(Iteration 8 / 30) loss: 1.639574\\n\",\"(Epoch 4 / 15) train acc: 0.520000; val_acc: 0.188000\\n\",\"(Iteration 9 / 30) loss: 1.330082\\n\",\"(Iteration 10 / 30) loss: 1.756115\\n\",\"(Epoch 5 / 15) train acc: 0.630000; val_acc: 0.167000\\n\",\"(Iteration 11 / 30) loss: 1.024162\\n\",\"(Iteration 12 / 30) loss: 1.041826\\n\",\"(Epoch 6 / 15) train acc: 0.750000; val_acc: 0.229000\\n\",\"(Iteration 13 / 30) loss: 1.142777\\n\",\"(Iteration 14 / 30) loss: 0.835706\\n\",\"(Epoch 7 / 15) train acc: 0.790000; val_acc: 0.247000\\n\",\"(Iteration 15 / 30) loss: 0.587786\\n\",\"(Iteration 16 / 30) loss: 0.645509\\n\",\"(Epoch 8 / 15) train acc: 0.820000; val_acc: 0.252000\\n\",\"(Iteration 17 / 30) loss: 0.786844\\n\",\"(Iteration 18 / 30) loss: 0.467054\\n\",\"(Epoch 9 / 15) train acc: 0.820000; val_acc: 0.178000\\n\",\"(Iteration 19 / 30) loss: 0.429880\\n\",\"(Iteration 20 / 30) loss: 0.635498\\n\",\"(Epoch 10 / 15) train acc: 0.900000; val_acc: 0.206000\\n\",\"(Iteration 21 / 30) loss: 0.365807\\n\",\"(Iteration 22 / 30) loss: 0.284220\\n\",\"(Epoch 11 / 15) train acc: 0.820000; val_acc: 0.201000\\n\",\"(Iteration 23 / 30) loss: 0.469343\\n\",\"(Iteration 24 / 30) loss: 0.509369\\n\",\"(Epoch 12 / 15) train acc: 0.920000; val_acc: 0.211000\\n\",\"(Iteration 25 / 30) loss: 0.111638\\n\",\"(Iteration 26 / 30) loss: 0.145388\\n\",\"(Epoch 13 / 15) train acc: 0.930000; val_acc: 0.213000\\n\",\"(Iteration 27 / 30) loss: 0.155575\\n\",\"(Iteration 28 / 30) loss: 0.143398\\n\",\"(Epoch 14 / 15) train acc: 0.960000; val_acc: 0.212000\\n\",\"(Iteration 29 / 30) loss: 0.158160\\n\",\"(Iteration 30 / 30) loss: 0.118934\\n\",\"(Epoch 15 / 15) train acc: 0.990000; val_acc: 0.220000\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"small_data_train_accuracy\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1612794273608,\"user_tz\":-60,\"elapsed\":659,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"311e49dd-7ce7-4d86-ebe4-7872016a6ec7\"},\"source\":[\"# Print final training accuracy\\n\",\"print(\\n\",\"    \\\"Small data training accuracy:\\\",\\n\",\"    solver.check_accuracy(small_data['X_train'], small_data['y_train'])\\n\",\")\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Small data training accuracy: 0.82\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"small_data_validation_accuracy\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1612794278021,\"user_tz\":-60,\"elapsed\":2299,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"67e355b0-cd7f-46c1-a04e-13f3d65e962f\"},\"source\":[\"# Print final validation accuracy\\n\",\"print(\\n\",\"    \\\"Small data validation accuracy:\\\",\\n\",\"    solver.check_accuracy(small_data['X_val'], small_data['y_val'])\\n\",\")\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Small data validation accuracy: 0.252\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"zBkwiUtB3JwL\"},\"source\":[\"Plotting the loss, training accuracy, and validation accuracy should show clear overfitting:\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"6IYML0bH3JwL\",\"colab\":{\"base_uri\":\"https://localhost:8080/\",\"height\":497},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1612794284825,\"user_tz\":-60,\"elapsed\":2479,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"3f948c44-b273-4c48-971e-0aec95105dc6\"},\"source\":[\"plt.subplot(2, 1, 1)\\n\",\"plt.plot(solver.loss_history, 'o')\\n\",\"plt.xlabel('iteration')\\n\",\"plt.ylabel('loss')\\n\",\"\\n\",\"plt.subplot(2, 1, 2)\\n\",\"plt.plot(solver.train_acc_history, '-o')\\n\",\"plt.plot(solver.val_acc_history, '-o')\\n\",\"plt.legend(['train', 'val'], loc='upper left')\\n\",\"plt.xlabel('epoch')\\n\",\"plt.ylabel('accuracy')\\n\",\"plt.show()\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 720x576 with 2 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"fTzgGkpm3JwM\"},\"source\":[\"## Train the net\\n\",\"By training the three-layer convolutional network for one epoch, you should achieve greater than 40% accuracy on the training set:\"]},{\"cell_type\":\"code\",\"metadata\":{\"scrolled\":false,\"id\":\"raY8bsg23JwM\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1612794816315,\"user_tz\":-60,\"elapsed\":507683,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"bd95d7d4-a80c-4da9-e329-a07ce0e36859\"},\"source\":[\"model = ThreeLayerConvNet(weight_scale=0.001, hidden_dim=500, reg=0.001)\\n\",\"\\n\",\"solver = Solver(model, data,\\n\",\"                num_epochs=1, batch_size=50,\\n\",\"                update_rule='adam',\\n\",\"                optim_config={\\n\",\"                  'learning_rate': 1e-3,\\n\",\"                },\\n\",\"                verbose=True, print_every=20)\\n\",\"solver.train()\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"(Iteration 1 / 980) loss: 2.304740\\n\",\"(Epoch 0 / 1) train acc: 0.103000; val_acc: 0.107000\\n\",\"(Iteration 21 / 980) loss: 2.304885\\n\",\"(Iteration 41 / 980) loss: 4.342038\\n\",\"(Iteration 61 / 980) loss: 2.436600\\n\",\"(Iteration 81 / 980) loss: 2.297557\\n\",\"(Iteration 101 / 980) loss: 2.195027\\n\",\"(Iteration 121 / 980) loss: 2.281718\\n\",\"(Iteration 141 / 980) loss: 2.148271\\n\",\"(Iteration 161 / 980) loss: 2.193495\\n\",\"(Iteration 181 / 980) loss: 2.118286\\n\",\"(Iteration 201 / 980) loss: 2.163260\\n\",\"(Iteration 221 / 980) loss: 2.096236\\n\",\"(Iteration 241 / 980) loss: 1.914950\\n\",\"(Iteration 261 / 980) loss: 1.766880\\n\",\"(Iteration 281 / 980) loss: 2.059285\\n\",\"(Iteration 301 / 980) loss: 1.928638\\n\",\"(Iteration 321 / 980) loss: 1.866128\\n\",\"(Iteration 341 / 980) loss: 1.753471\\n\",\"(Iteration 361 / 980) loss: 1.671797\\n\",\"(Iteration 381 / 980) loss: 1.694730\\n\",\"(Iteration 401 / 980) loss: 1.826622\\n\",\"(Iteration 421 / 980) loss: 1.789596\\n\",\"(Iteration 441 / 980) loss: 1.767580\\n\",\"(Iteration 461 / 980) loss: 1.798951\\n\",\"(Iteration 481 / 980) loss: 1.590641\\n\",\"(Iteration 501 / 980) loss: 1.465927\\n\",\"(Iteration 521 / 980) loss: 1.630173\\n\",\"(Iteration 541 / 980) loss: 1.704177\\n\",\"(Iteration 561 / 980) loss: 1.610670\\n\",\"(Iteration 581 / 980) loss: 1.421287\\n\",\"(Iteration 601 / 980) loss: 1.487256\\n\",\"(Iteration 621 / 980) loss: 1.493511\\n\",\"(Iteration 641 / 980) loss: 1.555944\\n\",\"(Iteration 661 / 980) loss: 1.431901\\n\",\"(Iteration 681 / 980) loss: 1.865246\\n\",\"(Iteration 701 / 980) loss: 1.362652\\n\",\"(Iteration 721 / 980) loss: 1.555140\\n\",\"(Iteration 741 / 980) loss: 1.574991\\n\",\"(Iteration 761 / 980) loss: 1.602598\\n\",\"(Iteration 781 / 980) loss: 1.641704\\n\",\"(Iteration 801 / 980) loss: 1.666102\\n\",\"(Iteration 821 / 980) loss: 1.408135\\n\",\"(Iteration 841 / 980) loss: 1.520590\\n\",\"(Iteration 861 / 980) loss: 1.582832\\n\",\"(Iteration 881 / 980) loss: 1.532453\\n\",\"(Iteration 901 / 980) loss: 1.280710\\n\",\"(Iteration 921 / 980) loss: 1.597463\\n\",\"(Iteration 941 / 980) loss: 1.557402\\n\",\"(Iteration 961 / 980) loss: 1.671642\\n\",\"(Epoch 1 / 1) train acc: 0.498000; val_acc: 0.505000\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"full_data_train_accuracy\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1612794824541,\"user_tz\":-60,\"elapsed\":587,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"8fed45f9-3e48-4ed2-ec77-4206655e4d18\"},\"source\":[\"# Print final training accuracy\\n\",\"print(\\n\",\"    \\\"Full data training accuracy:\\\",\\n\",\"    solver.check_accuracy(small_data['X_train'], small_data['y_train'])\\n\",\")\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Full data training accuracy: 0.49\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"full_data_validation_accuracy\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1612794828857,\"user_tz\":-60,\"elapsed\":2530,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"b17128f4-c976-420f-fe63-6ac95bf3359b\"},\"source\":[\"# Print final validation accuracy\\n\",\"print(\\n\",\"    \\\"Full data validation accuracy:\\\",\\n\",\"    solver.check_accuracy(data['X_val'], data['y_val'])\\n\",\")\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Full data validation accuracy: 0.505\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"3g1Aburh3JwN\"},\"source\":[\"## Visualize Filters\\n\",\"You can visualize the first-layer convolutional filters from the trained network by running the following:\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"gdp49c7N3JwN\",\"colab\":{\"base_uri\":\"https://localhost:8080/\",\"height\":303},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1612794851732,\"user_tz\":-60,\"elapsed\":1188,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"5e86f140-6f81-4cb7-9118-3b0fed90f76c\"},\"source\":[\"from cs231n.vis_utils import visualize_grid\\n\",\"\\n\",\"grid = visualize_grid(model.params['W1'].transpose(0, 2, 3, 1))\\n\",\"plt.imshow(grid.astype('uint8'))\\n\",\"plt.axis('off')\\n\",\"plt.gcf().set_size_inches(5, 5)\\n\",\"plt.show()\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 360x360 with 1 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"eC698nxW3JwN\"},\"source\":[\"# Spatial Batch Normalization\\n\",\"We already saw that batch normalization is a very useful technique for training deep fully-connected networks. As proposed in the original paper (link in `BatchNormalization.ipynb`), batch normalization can also be used for convolutional networks, but we need to tweak it a bit; the modification will be called \\\"spatial batch normalization.\\\"\\n\",\"\\n\",\"Normally batch-normalization accepts inputs of shape `(N, D)` and produces outputs of shape `(N, D)`, where we normalize across the minibatch dimension `N`. For data coming from convolutional layers, batch normalization needs to accept inputs of shape `(N, C, H, W)` and produce outputs of shape `(N, C, H, W)` where the `N` dimension gives the minibatch size and the `(H, W)` dimensions give the spatial size of the feature map.\\n\",\"\\n\",\"If the feature map was produced using convolutions, then we expect every feature channel's statistics e.g. mean, variance to be relatively consistent both between different images, and different locations within the same image -- after all, every feature channel is produced by the same convolutional filter! Therefore spatial batch normalization computes a mean and variance for each of the `C` feature channels by computing statistics over the minibatch dimension `N` as well the spatial dimensions `H` and `W`.\\n\",\"\\n\",\"\\n\",\"[1] [Sergey Ioffe and Christian Szegedy, \\\"Batch Normalization: Accelerating Deep Network Training by Reducing\\n\",\"Internal Covariate Shift\\\", ICML 2015.](https://arxiv.org/abs/1502.03167)\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"cB2kjQxD3JwN\"},\"source\":[\"## Spatial batch normalization: forward\\n\",\"\\n\",\"In the file `cs231n/layers.py`, implement the forward pass for spatial batch normalization in the function `spatial_batchnorm_forward`. Check your implementation by running the following:\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"hp-tgeEB3JwO\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1612818292426,\"user_tz\":-60,\"elapsed\":1537,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"20669c68-c912-4821-f01b-47f8871b5b01\"},\"source\":[\"np.random.seed(231)\\n\",\"# Check the training-time forward pass by checking means and variances\\n\",\"# of features both before and after spatial batch normalization\\n\",\"\\n\",\"N, C, H, W = 2, 3, 4, 5\\n\",\"x = 4 * np.random.randn(N, C, H, W) + 10\\n\",\"\\n\",\"print('Before spatial batch normalization:')\\n\",\"print('  Shape: ', x.shape)\\n\",\"print('  Means: ', x.mean(axis=(0, 2, 3)))\\n\",\"print('  Stds: ', x.std(axis=(0, 2, 3)))\\n\",\"\\n\",\"# Means should be close to zero and stds close to one\\n\",\"gamma, beta = np.ones(C), np.zeros(C)\\n\",\"bn_param = {'mode': 'train'}\\n\",\"out, _ = spatial_batchnorm_forward(x, gamma, beta, bn_param)\\n\",\"print('After spatial batch normalization:')\\n\",\"print('  Shape: ', out.shape)\\n\",\"print('  Means: ', out.mean(axis=(0, 2, 3)))\\n\",\"print('  Stds: ', out.std(axis=(0, 2, 3)))\\n\",\"\\n\",\"# Means should be close to beta and stds close to gamma\\n\",\"gamma, beta = np.asarray([3, 4, 5]), np.asarray([6, 7, 8])\\n\",\"out, _ = spatial_batchnorm_forward(x, gamma, beta, bn_param)\\n\",\"print('After spatial batch normalization (nontrivial gamma, beta):')\\n\",\"print('  Shape: ', out.shape)\\n\",\"print('  Means: ', out.mean(axis=(0, 2, 3)))\\n\",\"print('  Stds: ', out.std(axis=(0, 2, 3)))\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Before spatial batch normalization:\\n\",\"  Shape:  (2, 3, 4, 5)\\n\",\"  Means:  [9.33463814 8.90909116 9.11056338]\\n\",\"  Stds:  [3.61447857 3.19347686 3.5168142 ]\\n\",\"After spatial batch normalization:\\n\",\"  Shape:  (2, 3, 4, 5)\\n\",\"  Means:  [ 5.85642645e-16  5.93969318e-16 -8.88178420e-17]\\n\",\"  Stds:  [0.99999962 0.99999951 0.9999996 ]\\n\",\"After spatial batch normalization (nontrivial gamma, beta):\\n\",\"  Shape:  (2, 3, 4, 5)\\n\",\"  Means:  [6. 7. 8.]\\n\",\"  Stds:  [2.99999885 3.99999804 4.99999798]\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"uYtFa8Rc3JwO\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1612818297456,\"user_tz\":-60,\"elapsed\":952,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"fafa210c-d341-4635-9520-ec226003c1d3\"},\"source\":[\"np.random.seed(231)\\n\",\"# Check the test-time forward pass by running the training-time\\n\",\"# forward pass many times to warm up the running averages, and then\\n\",\"# checking the means and variances of activations after a test-time\\n\",\"# forward pass.\\n\",\"N, C, H, W = 10, 4, 11, 12\\n\",\"\\n\",\"bn_param = {'mode': 'train'}\\n\",\"gamma = np.ones(C)\\n\",\"beta = np.zeros(C)\\n\",\"for t in range(50):\\n\",\"  x = 2.3 * np.random.randn(N, C, H, W) + 13\\n\",\"  spatial_batchnorm_forward(x, gamma, beta, bn_param)\\n\",\"bn_param['mode'] = 'test'\\n\",\"x = 2.3 * np.random.randn(N, C, H, W) + 13\\n\",\"a_norm, _ = spatial_batchnorm_forward(x, gamma, beta, bn_param)\\n\",\"\\n\",\"# Means should be close to zero and stds close to one, but will be\\n\",\"# noisier than training-time forward passes.\\n\",\"print('After spatial batch normalization (test-time):')\\n\",\"print('  means: ', a_norm.mean(axis=(0, 2, 3)))\\n\",\"print('  stds: ', a_norm.std(axis=(0, 2, 3)))\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"After spatial batch normalization (test-time):\\n\",\"  means:  [-0.08034378  0.07562855  0.05716351  0.04378368]\\n\",\"  stds:  [0.96718413 1.02996788 1.02887272 1.00585232]\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"_HLABFAH3JwO\"},\"source\":[\"## Spatial batch normalization: backward\\n\",\"In the file `cs231n/layers.py`, implement the backward pass for spatial batch normalization in the function `spatial_batchnorm_backward`. Run the following to check your implementation using a numeric gradient check:\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"-_8ATMr53JwO\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1612818301348,\"user_tz\":-60,\"elapsed\":628,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"b085fd0f-40e3-4492-8730-c5123441c0d1\"},\"source\":[\"np.random.seed(231)\\n\",\"N, C, H, W = 2, 3, 4, 5\\n\",\"x = 5 * np.random.randn(N, C, H, W) + 12\\n\",\"gamma = np.random.randn(C)\\n\",\"beta = np.random.randn(C)\\n\",\"dout = np.random.randn(N, C, H, W)\\n\",\"\\n\",\"bn_param = {'mode': 'train'}\\n\",\"fx = lambda x: spatial_batchnorm_forward(x, gamma, beta, bn_param)[0]\\n\",\"fg = lambda a: spatial_batchnorm_forward(x, gamma, beta, bn_param)[0]\\n\",\"fb = lambda b: spatial_batchnorm_forward(x, gamma, beta, bn_param)[0]\\n\",\"\\n\",\"dx_num = eval_numerical_gradient_array(fx, x, dout)\\n\",\"da_num = eval_numerical_gradient_array(fg, gamma, dout)\\n\",\"db_num = eval_numerical_gradient_array(fb, beta, dout)\\n\",\"\\n\",\"#You should expect errors of magnitudes between 1e-12~1e-06\\n\",\"_, cache = spatial_batchnorm_forward(x, gamma, beta, bn_param)\\n\",\"dx, dgamma, dbeta = spatial_batchnorm_backward(dout, cache)\\n\",\"print('dx error: ', rel_error(dx_num, dx))\\n\",\"print('dgamma error: ', rel_error(da_num, dgamma))\\n\",\"print('dbeta error: ', rel_error(db_num, dbeta))\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"dx error:  3.083846820796372e-07\\n\",\"dgamma error:  7.09738489671469e-12\\n\",\"dbeta error:  3.275608725278405e-12\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"lAKcjhkP3JwO\"},\"source\":[\"# Group Normalization\\n\",\"In the previous notebook, we mentioned that Layer Normalization is an alternative normalization technique that mitigates the batch size limitations of Batch Normalization. However, as the authors of [2] observed, Layer Normalization does not perform as well as Batch Normalization when used with Convolutional Layers:\\n\",\"\\n\",\">With fully connected layers, all the hidden units in a layer tend to make similar contributions to the final prediction, and re-centering and rescaling the summed inputs to a layer works well. However, the assumption of similar contributions is no longer true for convolutional neural networks. The large number of the hidden units whose\\n\",\"receptive fields lie near the boundary of the image are rarely turned on and thus have very different\\n\",\"statistics from the rest of the hidden units within the same layer.\\n\",\"\\n\",\"The authors of [3] propose an intermediary technique. In contrast to Layer Normalization, where you normalize over the entire feature per-datapoint, they suggest a consistent splitting of each per-datapoint feature into G groups, and a per-group per-datapoint normalization instead. \\n\",\"\\n\",\"<p align=\\\"center\\\">\\n\",\"<img src=\\\"https://raw.githubusercontent.com/cs231n/cs231n.github.io/master/assets/a2/normalization.png\\\">\\n\",\"</p>\\n\",\"<center>Visual comparison of the normalization techniques discussed so far (image edited from [3])</center>\\n\",\"\\n\",\"Even though an assumption of equal contribution is still being made within each group, the authors hypothesize that this is not as problematic, as innate grouping arises within features for visual recognition. One example they use to illustrate this is that many high-performance handcrafted features in traditional Computer Vision have terms that are explicitly grouped together. Take for example Histogram of Oriented Gradients [4]-- after computing histograms per spatially local block, each per-block histogram is normalized before being concatenated together to form the final feature vector.\\n\",\"\\n\",\"You will now implement Group Normalization. Note that this normalization technique that you are to implement in the following cells was introduced and published to ECCV just in 2018 -- this truly is still an ongoing and excitingly active field of research!\\n\",\"\\n\",\"[2] [Ba, Jimmy Lei, Jamie Ryan Kiros, and Geoffrey E. Hinton. \\\"Layer Normalization.\\\" stat 1050 (2016): 21.](https://arxiv.org/pdf/1607.06450.pdf)\\n\",\"\\n\",\"\\n\",\"[3] [Wu, Yuxin, and Kaiming He. \\\"Group Normalization.\\\" arXiv preprint arXiv:1803.08494 (2018).](https://arxiv.org/abs/1803.08494)\\n\",\"\\n\",\"\\n\",\"[4] [N. Dalal and B. Triggs. Histograms of oriented gradients for\\n\",\"human detection. In Computer Vision and Pattern Recognition\\n\",\"(CVPR), 2005.](https://ieeexplore.ieee.org/abstract/document/1467360/)\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"cXJ4W9Oj3JwP\"},\"source\":[\"## Group normalization: forward\\n\",\"\\n\",\"In the file `cs231n/layers.py`, implement the forward pass for group normalization in the function `spatial_groupnorm_forward`. Check your implementation by running the following:\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"AhDdKL5m3JwP\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1612878794422,\"user_tz\":-60,\"elapsed\":1104,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"421ccd94-653b-435e-cf00-4d6436038c15\"},\"source\":[\"np.random.seed(231)\\n\",\"# Check the training-time forward pass by checking means and variances\\n\",\"# of features both before and after spatial batch normalization\\n\",\"\\n\",\"N, C, H, W = 2, 6, 4, 5\\n\",\"G = 2\\n\",\"x = 4 * np.random.randn(N, C, H, W) + 10\\n\",\"x_g = x.reshape((N*G,-1))\\n\",\"# print('Before spatial group normalization:')\\n\",\"# print('  Shape: ', x.shape)\\n\",\"# print('  Means: ', x_g.mean(axis=1))\\n\",\"# print('  Stds: ', x_g.std(axis=1))\\n\",\"\\n\",\"# Means should be close to zero and stds close to one\\n\",\"gamma, beta = np.ones((1,C,1,1)), np.zeros((1,C,1,1))\\n\",\"bn_param = {'mode': 'train'}\\n\",\"\\n\",\"out, _ = spatial_groupnorm_forward(x, gamma, beta, G, bn_param)\\n\",\"out_g = out.reshape((N*G,-1))\\n\",\"print('After spatial group normalization:')\\n\",\"print('  Shape: ', out.shape)\\n\",\"print('  Means: ', out_g.mean(axis=1))\\n\",\"print('  Stds: ', out_g.std(axis=1))\"],\"execution_count\":20,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"After spatial group normalization:\\n\",\"  Shape:  (2, 6, 4, 5)\\n\",\"  Means:  [-2.14643118e-16  5.25505565e-16  2.58126853e-16 -3.62672855e-16]\\n\",\"  Stds:  [0.99999963 0.99999948 0.99999973 0.99999968]\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"yRU1iGQt3JwP\"},\"source\":[\"## Spatial group normalization: backward\\n\",\"In the file `cs231n/layers.py`, implement the backward pass for spatial batch normalization in the function `spatial_groupnorm_backward`. Run the following to check your implementation using a numeric gradient check:\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"JYHu5Xmk3JwP\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1612880325840,\"user_tz\":-60,\"elapsed\":613,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"3b028cea-235c-4566-8227-86c09f3c22a4\"},\"source\":[\"np.random.seed(231)\\n\",\"N, C, H, W = 2, 6, 4, 5\\n\",\"G = 2\\n\",\"x = 5 * np.random.randn(N, C, H, W) + 12\\n\",\"gamma = np.random.randn(1,C,1,1)\\n\",\"beta = np.random.randn(1,C,1,1)\\n\",\"dout = np.random.randn(N, C, H, W)\\n\",\"\\n\",\"gn_param = {}\\n\",\"fx = lambda x: spatial_groupnorm_forward(x, gamma, beta, G, gn_param)[0]\\n\",\"fg = lambda a: spatial_groupnorm_forward(x, gamma, beta, G, gn_param)[0]\\n\",\"fb = lambda b: spatial_groupnorm_forward(x, gamma, beta, G, gn_param)[0]\\n\",\"\\n\",\"dx_num = eval_numerical_gradient_array(fx, x, dout)\\n\",\"da_num = eval_numerical_gradient_array(fg, gamma, dout)\\n\",\"db_num = eval_numerical_gradient_array(fb, beta, dout)\\n\",\"\\n\",\"_, cache = spatial_groupnorm_forward(x, gamma, beta, G, gn_param)\\n\",\"dx, dgamma, dbeta = spatial_groupnorm_backward(dout, cache)\\n\",\"#You should expect errors of magnitudes between 1e-12~1e-07\\n\",\"print('dx error: ', rel_error(dx_num, dx))\\n\",\"print('dgamma error: ', rel_error(da_num, dgamma))\\n\",\"print('dbeta error: ', rel_error(db_num, dbeta))\"],\"execution_count\":40,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"dx error:  6.34590431845254e-08\\n\",\"dgamma error:  1.0546047434202244e-11\\n\",\"dbeta error:  3.810857316122484e-12\\n\"],\"name\":\"stdout\"}]}]}"
  },
  {
    "path": "cs231n/assignment2/Dropout.ipynb",
    "content": "{\"nbformat\":4,\"nbformat_minor\":0,\"metadata\":{\"colab\":{\"name\":\"Dropout.ipynb\",\"provenance\":[],\"collapsed_sections\":[],\"toc_visible\":true},\"kernelspec\":{\"name\":\"python3\",\"display_name\":\"Python 3\"}},\"cells\":[{\"cell_type\":\"code\",\"metadata\":{\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"id\":\"pfrnxmxDp_8p\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1612704177859,\"user_tz\":-60,\"elapsed\":20990,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"cfad69b5-2a00-409b-b03e-5e79025d7f9d\"},\"source\":[\"# this mounts your Google Drive to the Colab VM.\\n\",\"from google.colab import drive\\n\",\"drive.mount('/content/drive', force_remount=True)\\n\",\"\\n\",\"# enter the foldername in your Drive where you have saved the unzipped\\n\",\"# assignment folder, e.g. 'cs231n/assignments/assignment3/'\\n\",\"FOLDERNAME = 'cs231n/assignments/assignment2/'\\n\",\"assert FOLDERNAME is not None, \\\"[!] Enter the foldername.\\\"\\n\",\"\\n\",\"# now that we've mounted your Drive, this ensures that\\n\",\"# the Python interpreter of the Colab VM can load\\n\",\"# python files from within it.\\n\",\"import sys\\n\",\"sys.path.append('/content/drive/My Drive/{}'.format(FOLDERNAME))\\n\",\"\\n\",\"# this downloads the CIFAR-10 dataset to your Drive\\n\",\"# if it doesn't already exist.\\n\",\"%cd drive/My\\\\ Drive/$FOLDERNAME/cs231n/datasets/\\n\",\"!bash get_datasets.sh\\n\",\"%cd /content\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Mounted at /content/drive\\n\",\"/content/drive/My Drive/cs231n/assignments/assignment2/cs231n/datasets\\n\",\"/content\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"tags\":[\"pdf-title\"],\"id\":\"DRJBqhQ8p_8w\"},\"source\":[\"# Dropout\\n\",\"Dropout [1] is a technique for regularizing neural networks by randomly setting some output activations to zero during the forward pass. In this exercise you will implement a dropout layer and modify your fully-connected network to optionally use dropout.\\n\",\"\\n\",\"[1] [Geoffrey E. Hinton et al, \\\"Improving neural networks by preventing co-adaptation of feature detectors\\\", arXiv 2012](https://arxiv.org/abs/1207.0580)\"]},{\"cell_type\":\"code\",\"metadata\":{\"tags\":[\"pdf-ignore\"],\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"id\":\"6L43KhnWp_8x\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1612704202322,\"user_tz\":-60,\"elapsed\":4288,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"7194b9e5-59de-4401-e0c4-420b3b44889e\"},\"source\":[\"# As usual, a bit of setup\\n\",\"from __future__ import print_function\\n\",\"import time\\n\",\"import numpy as np\\n\",\"import matplotlib.pyplot as plt\\n\",\"from cs231n.classifiers.fc_net import *\\n\",\"from cs231n.data_utils import get_CIFAR10_data\\n\",\"from cs231n.gradient_check import eval_numerical_gradient, eval_numerical_gradient_array\\n\",\"from cs231n.solver import Solver\\n\",\"\\n\",\"%matplotlib inline\\n\",\"plt.rcParams['figure.figsize'] = (10.0, 8.0) # set default size of plots\\n\",\"plt.rcParams['image.interpolation'] = 'nearest'\\n\",\"plt.rcParams['image.cmap'] = 'gray'\\n\",\"\\n\",\"# for auto-reloading external modules\\n\",\"# see http://stackoverflow.com/questions/1907993/autoreload-of-modules-in-ipython\\n\",\"%load_ext autoreload\\n\",\"%autoreload 2\\n\",\"\\n\",\"def rel_error(x, y):\\n\",\"  \\\"\\\"\\\" returns relative error \\\"\\\"\\\"\\n\",\"  return np.max(np.abs(x - y) / (np.maximum(1e-8, np.abs(x) + np.abs(y))))\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"=========== You can safely ignore the message below if you are NOT working on ConvolutionalNetworks.ipynb ===========\\n\",\"\\tYou will need to compile a Cython extension for a portion of this assignment.\\n\",\"\\tThe instructions to do this will be given in a section of the notebook below.\\n\",\"\\tThere will be an option for Colab users and another for Jupyter (local) users.\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"code\",\"metadata\":{\"tags\":[\"pdf-ignore\"],\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"id\":\"YCZNCQ-jp_8x\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1612704212952,\"user_tz\":-60,\"elapsed\":7267,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"0b2b1e9f-7b1f-4720-bf2f-f8f04257961b\"},\"source\":[\"# Load the (preprocessed) CIFAR10 data.\\n\",\"\\n\",\"data = get_CIFAR10_data()\\n\",\"for k, v in data.items():\\n\",\"  print('%s: ' % k, v.shape)\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"X_train:  (49000, 3, 32, 32)\\n\",\"y_train:  (49000,)\\n\",\"X_val:  (1000, 3, 32, 32)\\n\",\"y_val:  (1000,)\\n\",\"X_test:  (1000, 3, 32, 32)\\n\",\"y_test:  (1000,)\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"8BncxhN-p_8y\"},\"source\":[\"# Dropout forward pass\\n\",\"In the file `cs231n/layers.py`, implement the forward pass for dropout. Since dropout behaves differently during training and testing, make sure to implement the operation for both modes.\\n\",\"\\n\",\"Once you have done so, run the cell below to test your implementation.\"]},{\"cell_type\":\"code\",\"metadata\":{\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"id\":\"Ae76jrKBp_8y\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1612704514040,\"user_tz\":-60,\"elapsed\":1273,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"c6449977-5f59-4ee6-a812-d3ce8d7cf6c1\"},\"source\":[\"np.random.seed(231)\\n\",\"x = np.random.randn(500, 500) + 10\\n\",\"\\n\",\"for p in [0.25, 0.4, 0.7]:\\n\",\"  out, _ = dropout_forward(x, {'mode': 'train', 'p': p})\\n\",\"  out_test, _ = dropout_forward(x, {'mode': 'test', 'p': p})\\n\",\"\\n\",\"  print('Running tests with p = ', p)\\n\",\"  print('Mean of input: ', x.mean())\\n\",\"  print('Mean of train-time output: ', out.mean())\\n\",\"  print('Mean of test-time output: ', out_test.mean())\\n\",\"  print('Fraction of train-time output set to zero: ', (out == 0).mean())\\n\",\"  print('Fraction of test-time output set to zero: ', (out_test == 0).mean())\\n\",\"  print()\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Running tests with p =  0.25\\n\",\"Mean of input:  10.000207878477502\\n\",\"Mean of train-time output:  10.014059116977283\\n\",\"Mean of test-time output:  10.000207878477502\\n\",\"Fraction of train-time output set to zero:  0.749784\\n\",\"Fraction of test-time output set to zero:  0.0\\n\",\"\\n\",\"Running tests with p =  0.4\\n\",\"Mean of input:  10.000207878477502\\n\",\"Mean of train-time output:  9.977917658761159\\n\",\"Mean of test-time output:  10.000207878477502\\n\",\"Fraction of train-time output set to zero:  0.600796\\n\",\"Fraction of test-time output set to zero:  0.0\\n\",\"\\n\",\"Running tests with p =  0.7\\n\",\"Mean of input:  10.000207878477502\\n\",\"Mean of train-time output:  9.987811912159426\\n\",\"Mean of test-time output:  10.000207878477502\\n\",\"Fraction of train-time output set to zero:  0.30074\\n\",\"Fraction of test-time output set to zero:  0.0\\n\",\"\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"Xbg7kiXQp_8z\"},\"source\":[\"# Dropout backward pass\\n\",\"In the file `cs231n/layers.py`, implement the backward pass for dropout. After doing so, run the following cell to numerically gradient-check your implementation.\"]},{\"cell_type\":\"code\",\"metadata\":{\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"id\":\"kY8KOvKJp_8z\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1612705196463,\"user_tz\":-60,\"elapsed\":756,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"3a56d3e0-753c-4a13-98ce-15be7965fbae\"},\"source\":[\"np.random.seed(231)\\n\",\"x = np.random.randn(10, 10) + 10\\n\",\"dout = np.random.randn(*x.shape)\\n\",\"\\n\",\"dropout_param = {'mode': 'train', 'p': 0.2, 'seed': 123}\\n\",\"out, cache = dropout_forward(x, dropout_param)\\n\",\"dx = dropout_backward(dout, cache)\\n\",\"dx_num = eval_numerical_gradient_array(lambda xx: dropout_forward(xx, dropout_param)[0], x, dout)\\n\",\"\\n\",\"# Error should be around e-10 or less\\n\",\"print('dx relative error: ', rel_error(dx, dx_num))\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"dx relative error:  5.44560814873387e-11\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"tags\":[\"pdf-inline\"],\"id\":\"78Fi0vFUp_8z\"},\"source\":[\"## Inline Question 1:\\n\",\"What happens if we do not divide the values being passed through inverse dropout by `p` in the dropout layer? Why does that happen?\\n\",\"\\n\",\"## Answer:\\n\",\"- If we do not divide the values being passed through inverse dropout by `p` in the dropout layer, the output at test time will be different from the expected one at training time. It's like using a different neural network at test time than the one trained on our dataset.\\n\",\"\\n\",\"- I can explain why this will happen by returning to the original formula, in which, we multiply by `p` at test time. And since the two formulas are equivalent, the explanation will remain correct for the implementation that proceeds to divide by `p` at training time, and the test time keeps unchanged.\\n\",\"So, the goal at test time is to average the randomness defined (by introducing `p`) in training time, i.e. make it deterministic. As described in the [lecture 7](http://cs231n.stanford.edu/slides/2017/cs231n_2017_lecture7.pdf) (slide 68), it is done by multiplying by `p`.\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"67NsxTxtp_80\"},\"source\":[\"# Fully-connected nets with Dropout\\n\",\"In the file `cs231n/classifiers/fc_net.py`, modify your implementation to use dropout. Specifically, if the constructor of the network receives a value that is not 1 for the `dropout` parameter, then the net should add a dropout layer immediately after every ReLU nonlinearity. After doing so, run the following to numerically gradient-check your implementation.\"]},{\"cell_type\":\"code\",\"metadata\":{\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"id\":\"PymU9PLRp_80\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1612706245410,\"user_tz\":-60,\"elapsed\":3219,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"50e66c25-ba91-4686-9624-b82873be5367\"},\"source\":[\"np.random.seed(231)\\n\",\"N, D, H1, H2, C = 2, 15, 20, 30, 10\\n\",\"X = np.random.randn(N, D)\\n\",\"y = np.random.randint(C, size=(N,))\\n\",\"\\n\",\"for dropout in [1, 0.75, 0.5]:\\n\",\"  print('Running check with dropout = ', dropout)\\n\",\"  model = FullyConnectedNet([H1, H2], input_dim=D, num_classes=C,\\n\",\"                            weight_scale=5e-2, dtype=np.float64,\\n\",\"                            dropout=dropout, seed=123)\\n\",\"\\n\",\"  loss, grads = model.loss(X, y)\\n\",\"  print('Initial loss: ', loss)\\n\",\"  \\n\",\"  # Relative errors should be around e-6 or less; Note that it's fine\\n\",\"  # if for dropout=1 you have W2 error be on the order of e-5.\\n\",\"  for name in sorted(grads):\\n\",\"    f = lambda _: model.loss(X, y)[0]\\n\",\"    grad_num = eval_numerical_gradient(f, model.params[name], verbose=False, h=1e-5)\\n\",\"    print('%s relative error: %.2e' % (name, rel_error(grad_num, grads[name])))\\n\",\"  print()\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Running check with dropout =  1\\n\",\"Initial loss:  2.3004790897684924\\n\",\"W1 relative error: 1.48e-07\\n\",\"W2 relative error: 2.21e-05\\n\",\"W3 relative error: 3.53e-07\\n\",\"b1 relative error: 5.38e-09\\n\",\"b2 relative error: 2.09e-09\\n\",\"b3 relative error: 5.80e-11\\n\",\"\\n\",\"Running check with dropout =  0.75\\n\",\"Initial loss:  2.302371489704412\\n\",\"W1 relative error: 1.90e-07\\n\",\"W2 relative error: 4.76e-06\\n\",\"W3 relative error: 2.60e-08\\n\",\"b1 relative error: 4.73e-09\\n\",\"b2 relative error: 1.82e-09\\n\",\"b3 relative error: 1.70e-10\\n\",\"\\n\",\"Running check with dropout =  0.5\\n\",\"Initial loss:  2.3042759220785896\\n\",\"W1 relative error: 3.11e-07\\n\",\"W2 relative error: 1.84e-08\\n\",\"W3 relative error: 5.35e-08\\n\",\"b1 relative error: 5.37e-09\\n\",\"b2 relative error: 2.99e-09\\n\",\"b3 relative error: 1.13e-10\\n\",\"\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"LFSfpb4Yp_81\"},\"source\":[\"# Regularization experiment\\n\",\"As an experiment, we will train a pair of two-layer networks on 500 training examples: one will use no dropout, and one will use a keep probability of 0.25. We will then visualize the training and validation accuracies of the two networks over time.\"]},{\"cell_type\":\"code\",\"metadata\":{\"scrolled\":false,\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"id\":\"m_SYagOPp_81\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1612706321376,\"user_tz\":-60,\"elapsed\":44139,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"5c2495c3-dab8-4874-98ff-5cbdc7ee9fe0\"},\"source\":[\"# Train two identical nets, one with dropout and one without\\n\",\"np.random.seed(231)\\n\",\"num_train = 500\\n\",\"small_data = {\\n\",\"  'X_train': data['X_train'][:num_train],\\n\",\"  'y_train': data['y_train'][:num_train],\\n\",\"  'X_val': data['X_val'],\\n\",\"  'y_val': data['y_val'],\\n\",\"}\\n\",\"\\n\",\"solvers = {}\\n\",\"dropout_choices = [1, 0.25]\\n\",\"for dropout in dropout_choices:\\n\",\"  model = FullyConnectedNet([500], dropout=dropout)\\n\",\"  print(dropout)\\n\",\"\\n\",\"  solver = Solver(model, small_data,\\n\",\"                  num_epochs=25, batch_size=100,\\n\",\"                  update_rule='adam',\\n\",\"                  optim_config={\\n\",\"                    'learning_rate': 5e-4,\\n\",\"                  },\\n\",\"                  verbose=True, print_every=100)\\n\",\"  solver.train()\\n\",\"  solvers[dropout] = solver\\n\",\"  print()\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"1\\n\",\"(Iteration 1 / 125) loss: 7.856643\\n\",\"(Epoch 0 / 25) train acc: 0.260000; val_acc: 0.184000\\n\",\"(Epoch 1 / 25) train acc: 0.416000; val_acc: 0.258000\\n\",\"(Epoch 2 / 25) train acc: 0.482000; val_acc: 0.276000\\n\",\"(Epoch 3 / 25) train acc: 0.532000; val_acc: 0.277000\\n\",\"(Epoch 4 / 25) train acc: 0.600000; val_acc: 0.271000\\n\",\"(Epoch 5 / 25) train acc: 0.708000; val_acc: 0.299000\\n\",\"(Epoch 6 / 25) train acc: 0.722000; val_acc: 0.282000\\n\",\"(Epoch 7 / 25) train acc: 0.832000; val_acc: 0.255000\\n\",\"(Epoch 8 / 25) train acc: 0.880000; val_acc: 0.268000\\n\",\"(Epoch 9 / 25) train acc: 0.902000; val_acc: 0.277000\\n\",\"(Epoch 10 / 25) train acc: 0.898000; val_acc: 0.261000\\n\",\"(Epoch 11 / 25) train acc: 0.924000; val_acc: 0.263000\\n\",\"(Epoch 12 / 25) train acc: 0.960000; val_acc: 0.300000\\n\",\"(Epoch 13 / 25) train acc: 0.972000; val_acc: 0.314000\\n\",\"(Epoch 14 / 25) train acc: 0.972000; val_acc: 0.311000\\n\",\"(Epoch 15 / 25) train acc: 0.974000; val_acc: 0.315000\\n\",\"(Epoch 16 / 25) train acc: 0.994000; val_acc: 0.303000\\n\",\"(Epoch 17 / 25) train acc: 0.972000; val_acc: 0.306000\\n\",\"(Epoch 18 / 25) train acc: 0.994000; val_acc: 0.312000\\n\",\"(Epoch 19 / 25) train acc: 0.988000; val_acc: 0.314000\\n\",\"(Epoch 20 / 25) train acc: 0.996000; val_acc: 0.291000\\n\",\"(Iteration 101 / 125) loss: 0.000333\\n\",\"(Epoch 21 / 25) train acc: 0.990000; val_acc: 0.296000\\n\",\"(Epoch 22 / 25) train acc: 0.994000; val_acc: 0.297000\\n\",\"(Epoch 23 / 25) train acc: 0.988000; val_acc: 0.294000\\n\",\"(Epoch 24 / 25) train acc: 0.998000; val_acc: 0.302000\\n\",\"(Epoch 25 / 25) train acc: 0.984000; val_acc: 0.316000\\n\",\"\\n\",\"0.25\\n\",\"(Iteration 1 / 125) loss: 17.318478\\n\",\"(Epoch 0 / 25) train acc: 0.230000; val_acc: 0.177000\\n\",\"(Epoch 1 / 25) train acc: 0.378000; val_acc: 0.243000\\n\",\"(Epoch 2 / 25) train acc: 0.402000; val_acc: 0.254000\\n\",\"(Epoch 3 / 25) train acc: 0.502000; val_acc: 0.276000\\n\",\"(Epoch 4 / 25) train acc: 0.528000; val_acc: 0.298000\\n\",\"(Epoch 5 / 25) train acc: 0.562000; val_acc: 0.296000\\n\",\"(Epoch 6 / 25) train acc: 0.626000; val_acc: 0.291000\\n\",\"(Epoch 7 / 25) train acc: 0.622000; val_acc: 0.297000\\n\",\"(Epoch 8 / 25) train acc: 0.688000; val_acc: 0.313000\\n\",\"(Epoch 9 / 25) train acc: 0.712000; val_acc: 0.297000\\n\",\"(Epoch 10 / 25) train acc: 0.724000; val_acc: 0.306000\\n\",\"(Epoch 11 / 25) train acc: 0.768000; val_acc: 0.307000\\n\",\"(Epoch 12 / 25) train acc: 0.774000; val_acc: 0.284000\\n\",\"(Epoch 13 / 25) train acc: 0.828000; val_acc: 0.308000\\n\",\"(Epoch 14 / 25) train acc: 0.812000; val_acc: 0.346000\\n\",\"(Epoch 15 / 25) train acc: 0.850000; val_acc: 0.338000\\n\",\"(Epoch 16 / 25) train acc: 0.844000; val_acc: 0.307000\\n\",\"(Epoch 17 / 25) train acc: 0.858000; val_acc: 0.302000\\n\",\"(Epoch 18 / 25) train acc: 0.860000; val_acc: 0.318000\\n\",\"(Epoch 19 / 25) train acc: 0.884000; val_acc: 0.316000\\n\",\"(Epoch 20 / 25) train acc: 0.862000; val_acc: 0.315000\\n\",\"(Iteration 101 / 125) loss: 4.293572\\n\",\"(Epoch 21 / 25) train acc: 0.886000; val_acc: 0.330000\\n\",\"(Epoch 22 / 25) train acc: 0.898000; val_acc: 0.314000\\n\",\"(Epoch 23 / 25) train acc: 0.934000; val_acc: 0.323000\\n\",\"(Epoch 24 / 25) train acc: 0.918000; val_acc: 0.322000\\n\",\"(Epoch 25 / 25) train acc: 0.922000; val_acc: 0.324000\\n\",\"\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"code\",\"metadata\":{\"colab\":{\"base_uri\":\"https://localhost:8080/\",\"height\":606},\"id\":\"PZRZacXFp_81\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1612706327348,\"user_tz\":-60,\"elapsed\":1191,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"d35de4d5-23e2-412d-f3b6-c439fffc80c2\"},\"source\":[\"# Plot train and validation accuracies of the two models\\n\",\"\\n\",\"train_accs = []\\n\",\"val_accs = []\\n\",\"for dropout in dropout_choices:\\n\",\"  solver = solvers[dropout]\\n\",\"  train_accs.append(solver.train_acc_history[-1])\\n\",\"  val_accs.append(solver.val_acc_history[-1])\\n\",\"\\n\",\"plt.subplot(3, 1, 1)\\n\",\"for dropout in dropout_choices:\\n\",\"  plt.plot(solvers[dropout].train_acc_history, 'o', label='%.2f dropout' % dropout)\\n\",\"plt.title('Train accuracy')\\n\",\"plt.xlabel('Epoch')\\n\",\"plt.ylabel('Accuracy')\\n\",\"plt.legend(ncol=2, loc='lower right')\\n\",\"  \\n\",\"plt.subplot(3, 1, 2)\\n\",\"for dropout in dropout_choices:\\n\",\"  plt.plot(solvers[dropout].val_acc_history, 'o', label='%.2f dropout' % dropout)\\n\",\"plt.title('Val accuracy')\\n\",\"plt.xlabel('Epoch')\\n\",\"plt.ylabel('Accuracy')\\n\",\"plt.legend(ncol=2, loc='lower right')\\n\",\"\\n\",\"plt.gcf().set_size_inches(15, 15)\\n\",\"plt.show()\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 1080x1080 with 2 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}}]},{\"cell_type\":\"markdown\",\"metadata\":{\"tags\":[\"pdf-inline\"],\"id\":\"sVlQMGLQp_82\"},\"source\":[\"## Inline Question 2:\\n\",\"Compare the validation and training accuracies with and without dropout -- what do your results suggest about dropout as a regularizer?\\n\",\"\\n\",\"## Answer:\\n\",\"From the graphs above, we notice that:\\n\",\"- At **training time**: The accuracy is higher **without** using dropout (compared to the accuracy with using dropout), and that is less important.\\n\",\"- But, at **test time**: It's the inverse, accuracy is higher **with** using dropout, and that is the most important.\\n\",\"\\n\",\"We conclude that the dropout is an efficient regularizer, that helps to prevent overfitting of the neural networks.\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"tags\":[\"pdf-inline\"],\"id\":\"JBu3iCbup_82\"},\"source\":[\"## Inline Question 3:\\n\",\"Suppose we are training a deep fully-connected network for image classification, with dropout after hidden layers (parameterized by keep probability p). If we are concerned about overfitting, how should we modify p (if at all) when we decide to decrease the size of the hidden layers (that is, the number of nodes in each layer)?\\n\",\"\\n\",\"## Answer:\\n\",\"In my opinion, it will be better to keep `p` unchanged while decreasing layers size. And after computing training/test accuracies, if there is a big gap between the training/test accuracies (underfitting case), increase `p` (that is, increase the keep probability).\\n\",\"\\n\",\"Of course, I consider here that the layers size can be only decreased. So, re-increasing layers sizes and decreasing the keep probability `p` is not an option (question hypothesis).\"]}]}"
  },
  {
    "path": "cs231n/assignment2/FullyConnectedNets.ipynb",
    "content": "{\"nbformat\":4,\"nbformat_minor\":0,\"metadata\":{\"colab\":{\"name\":\"FullyConnectedNets.ipynb\",\"provenance\":[],\"collapsed_sections\":[]},\"kernelspec\":{\"name\":\"python3\",\"display_name\":\"Python 3\"}},\"cells\":[{\"cell_type\":\"code\",\"metadata\":{\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"id\":\"vXSoK_7l6e4R\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1616352089703,\"user_tz\":-60,\"elapsed\":2023,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"a405ec16-b969-4dbf-b4ae-b10f4942b571\"},\"source\":[\"# this mounts your Google Drive to the Colab VM.\\n\",\"from google.colab import drive\\n\",\"drive.mount('/content/drive', force_remount=True)\\n\",\"\\n\",\"# enter the foldername in your Drive where you have saved the unzipped\\n\",\"# assignment folder, e.g. 'cs231n/assignments/assignment3/'\\n\",\"FOLDERNAME = 'cs231n/assignments/assignment2/'\\n\",\"assert FOLDERNAME is not None, \\\"[!] Enter the foldername.\\\"\\n\",\"\\n\",\"# now that we've mounted your Drive, this ensures that\\n\",\"# the Python interpreter of the Colab VM can load\\n\",\"# python files from within it.\\n\",\"import sys\\n\",\"sys.path.append('/content/drive/My Drive/{}'.format(FOLDERNAME))\\n\",\"\\n\",\"# this downloads the CIFAR-10 dataset to your Drive\\n\",\"# if it doesn't already exist.\\n\",\"%cd drive/My\\\\ Drive/$FOLDERNAME/cs231n/datasets/\\n\",\"!bash get_datasets.sh\\n\",\"%cd /content\"],\"execution_count\":3,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Mounted at /content/drive\\n\",\"/content/drive/My Drive/cs231n/assignments/assignment2/cs231n/datasets\\n\",\"/content\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"tags\":[\"pdf-title\"],\"id\":\"5QKqv7me6e4a\"},\"source\":[\"# Fully-Connected Neural Nets\\n\",\"In the previous homework you implemented a fully-connected two-layer neural network on CIFAR-10. The implementation was simple but not very modular since the loss and gradient were computed in a single monolithic function. This is manageable for a simple two-layer network, but would become impractical as we move to bigger models. Ideally we want to build networks using a more modular design so that we can implement different layer types in isolation and then snap them together into models with different architectures.\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"tags\":[\"pdf-ignore\"],\"id\":\"tNpLWKxl6e4b\"},\"source\":[\"In this exercise we will implement fully-connected networks using a more modular approach. For each layer we will implement a `forward` and a `backward` function. The `forward` function will receive inputs, weights, and other parameters and will return both an output and a `cache` object storing data needed for the backward pass, like this:\\n\",\"\\n\",\"```python\\n\",\"def layer_forward(x, w):\\n\",\"  \\\"\\\"\\\" Receive inputs x and weights w \\\"\\\"\\\"\\n\",\"  # Do some computations ...\\n\",\"  z = # ... some intermediate value\\n\",\"  # Do some more computations ...\\n\",\"  out = # the output\\n\",\"   \\n\",\"  cache = (x, w, z, out) # Values we need to compute gradients\\n\",\"   \\n\",\"  return out, cache\\n\",\"```\\n\",\"\\n\",\"The backward pass will receive upstream derivatives and the `cache` object, and will return gradients with respect to the inputs and weights, like this:\\n\",\"\\n\",\"```python\\n\",\"def layer_backward(dout, cache):\\n\",\"  \\\"\\\"\\\"\\n\",\"  Receive dout (derivative of loss with respect to outputs) and cache,\\n\",\"  and compute derivative with respect to inputs.\\n\",\"  \\\"\\\"\\\"\\n\",\"  # Unpack cache values\\n\",\"  x, w, z, out = cache\\n\",\"  \\n\",\"  # Use values in cache to compute derivatives\\n\",\"  dx = # Derivative of loss with respect to x\\n\",\"  dw = # Derivative of loss with respect to w\\n\",\"  \\n\",\"  return dx, dw\\n\",\"```\\n\",\"\\n\",\"After implementing a bunch of layers this way, we will be able to easily combine them to build classifiers with different architectures.\\n\",\"\\n\",\"In addition to implementing fully-connected networks of arbitrary depth, we will also explore different update rules for optimization, and introduce Dropout as a regularizer and Batch/Layer Normalization as a tool to more efficiently optimize deep networks.\\n\",\"  \"]},{\"cell_type\":\"code\",\"metadata\":{\"tags\":[\"pdf-ignore\"],\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"id\":\"PRBSw5jZ6e4c\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1616352095581,\"user_tz\":-60,\"elapsed\":2028,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"70cb8989-0c7e-420f-f7be-2be4cfaf3e11\"},\"source\":[\"# As usual, a bit of setup\\n\",\"from __future__ import print_function\\n\",\"import time\\n\",\"import numpy as np\\n\",\"import matplotlib.pyplot as plt\\n\",\"from cs231n.classifiers.fc_net import *\\n\",\"from cs231n.data_utils import get_CIFAR10_data\\n\",\"from cs231n.gradient_check import eval_numerical_gradient, eval_numerical_gradient_array\\n\",\"from cs231n.solver import Solver\\n\",\"\\n\",\"%matplotlib inline\\n\",\"plt.rcParams['figure.figsize'] = (10.0, 8.0) # set default size of plots\\n\",\"plt.rcParams['image.interpolation'] = 'nearest'\\n\",\"plt.rcParams['image.cmap'] = 'gray'\\n\",\"\\n\",\"# for auto-reloading external modules\\n\",\"# see http://stackoverflow.com/questions/1907993/autoreload-of-modules-in-ipython\\n\",\"%load_ext autoreload\\n\",\"%autoreload 2\\n\",\"\\n\",\"def rel_error(x, y):\\n\",\"  \\\"\\\"\\\" returns relative error \\\"\\\"\\\"\\n\",\"  return np.max(np.abs(x - y) / (np.maximum(1e-8, np.abs(x) + np.abs(y))))\"],\"execution_count\":4,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"=========== You can safely ignore the message below if you are NOT working on ConvolutionalNetworks.ipynb ===========\\n\",\"\\tYou will need to compile a Cython extension for a portion of this assignment.\\n\",\"\\tThe instructions to do this will be given in a section of the notebook below.\\n\",\"\\tThere will be an option for Colab users and another for Jupyter (local) users.\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"code\",\"metadata\":{\"tags\":[\"pdf-ignore\"],\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"id\":\"N0LMWgTK6e4c\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1616352104749,\"user_tz\":-60,\"elapsed\":6426,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"86273c83-ec64-4d05-af05-68053e25258f\"},\"source\":[\"# Load the (preprocessed) CIFAR10 data.\\n\",\"\\n\",\"data = get_CIFAR10_data()\\n\",\"for k, v in list(data.items()):\\n\",\"  print(('%s: ' % k, v.shape))\"],\"execution_count\":5,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"('X_train: ', (49000, 3, 32, 32))\\n\",\"('y_train: ', (49000,))\\n\",\"('X_val: ', (1000, 3, 32, 32))\\n\",\"('y_val: ', (1000,))\\n\",\"('X_test: ', (1000, 3, 32, 32))\\n\",\"('y_test: ', (1000,))\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"KTLvACOC6e4d\"},\"source\":[\"# Affine layer: forward\\n\",\"Open the file `cs231n/layers.py` and implement the `affine_forward` function.\\n\",\"\\n\",\"Once you are done you can test your implementaion by running the following:\"]},{\"cell_type\":\"code\",\"metadata\":{\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"id\":\"5DbX3bvm6e4d\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1616352109522,\"user_tz\":-60,\"elapsed\":758,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"8b8ea0f3-f49f-4ed8-d7f4-a1ecf73757e6\"},\"source\":[\"# Test the affine_forward function\\n\",\"\\n\",\"num_inputs = 2\\n\",\"input_shape = (4, 5, 6)\\n\",\"output_dim = 3\\n\",\"\\n\",\"input_size = num_inputs * np.prod(input_shape)\\n\",\"weight_size = output_dim * np.prod(input_shape)\\n\",\"\\n\",\"x = np.linspace(-0.1, 0.5, num=input_size).reshape(num_inputs, *input_shape)\\n\",\"w = np.linspace(-0.2, 0.3, num=weight_size).reshape(np.prod(input_shape), output_dim)\\n\",\"b = np.linspace(-0.3, 0.1, num=output_dim)\\n\",\"\\n\",\"out, _ = affine_forward(x, w, b)\\n\",\"correct_out = np.array([[ 1.49834967,  1.70660132,  1.91485297],\\n\",\"                        [ 3.25553199,  3.5141327,   3.77273342]])\\n\",\"\\n\",\"# Compare your output with ours. The error should be around e-9 or less.\\n\",\"print('Testing affine_forward function:')\\n\",\"print('difference: ', rel_error(out, correct_out))\"],\"execution_count\":6,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Testing affine_forward function:\\n\",\"difference:  9.769849468192957e-10\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"KnjPBdAE6e4e\"},\"source\":[\"# Affine layer: backward\\n\",\"Now implement the `affine_backward` function and test your implementation using numeric gradient checking.\"]},{\"cell_type\":\"code\",\"metadata\":{\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"id\":\"KBkX9RyS6e4e\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1616343057642,\"user_tz\":-60,\"elapsed\":1062,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"3ae83318-e163-4615-c880-80fc6c961358\"},\"source\":[\"# Test the affine_backward function\\n\",\"np.random.seed(231)\\n\",\"x = np.random.randn(10, 2, 3)\\n\",\"w = np.random.randn(6, 5)\\n\",\"b = np.random.randn(5)\\n\",\"dout = np.random.randn(10, 5)\\n\",\"\\n\",\"dx_num = eval_numerical_gradient_array(lambda x: affine_forward(x, w, b)[0], x, dout)\\n\",\"dw_num = eval_numerical_gradient_array(lambda w: affine_forward(x, w, b)[0], w, dout)\\n\",\"db_num = eval_numerical_gradient_array(lambda b: affine_forward(x, w, b)[0], b, dout)\\n\",\"\\n\",\"_, cache = affine_forward(x, w, b)\\n\",\"dx, dw, db = affine_backward(dout, cache)\\n\",\"\\n\",\"# The error should be around e-10 or less\\n\",\"print('Testing affine_backward function:')\\n\",\"print('dx error: ', rel_error(dx_num, dx))\\n\",\"print('dw error: ', rel_error(dw_num, dw))\\n\",\"print('db error: ', rel_error(db_num, db))\"],\"execution_count\":5,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Testing affine_backward function:\\n\",\"dx error:  5.399100368651805e-11\\n\",\"dw error:  9.904211865398145e-11\\n\",\"db error:  2.4122867568119087e-11\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"UsHcjAaR6e4f\"},\"source\":[\"# ReLU activation: forward\\n\",\"Implement the forward pass for the ReLU activation function in the `relu_forward` function and test your implementation using the following:\"]},{\"cell_type\":\"code\",\"metadata\":{\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"id\":\"U5v1vyA86e4g\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1616343060396,\"user_tz\":-60,\"elapsed\":889,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"93a5405c-d14c-4e64-f5be-3b2290808b85\"},\"source\":[\"# Test the relu_forward function\\n\",\"\\n\",\"x = np.linspace(-0.5, 0.5, num=12).reshape(3, 4)\\n\",\"\\n\",\"out, _ = relu_forward(x)\\n\",\"correct_out = np.array([[ 0.,          0.,          0.,          0.,        ],\\n\",\"                        [ 0.,          0.,          0.04545455,  0.13636364,],\\n\",\"                        [ 0.22727273,  0.31818182,  0.40909091,  0.5,       ]])\\n\",\"\\n\",\"# Compare your output with ours. The error should be on the order of e-8\\n\",\"print('Testing relu_forward function:')\\n\",\"print('difference: ', rel_error(out, correct_out))\"],\"execution_count\":6,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Testing relu_forward function:\\n\",\"difference:  4.999999798022158e-08\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"AhXkZzZB6e4h\"},\"source\":[\"# ReLU activation: backward\\n\",\"Now implement the backward pass for the ReLU activation function in the `relu_backward` function and test your implementation using numeric gradient checking:\"]},{\"cell_type\":\"code\",\"metadata\":{\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"id\":\"nFvwFIwD6e4i\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1616343063712,\"user_tz\":-60,\"elapsed\":933,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"c88a7dce-c1cc-41f4-e335-114489bfbf47\"},\"source\":[\"np.random.seed(231)\\n\",\"x = np.random.randn(10, 10)\\n\",\"dout = np.random.randn(*x.shape)\\n\",\"\\n\",\"dx_num = eval_numerical_gradient_array(lambda x: relu_forward(x)[0], x, dout)\\n\",\"\\n\",\"_, cache = relu_forward(x)\\n\",\"dx = relu_backward(dout, cache)\\n\",\"\\n\",\"# The error should be on the order of e-12\\n\",\"print('Testing relu_backward function:')\\n\",\"print('dx error: ', rel_error(dx_num, dx))\"],\"execution_count\":7,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Testing relu_backward function:\\n\",\"dx error:  3.2756349136310288e-12\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"tags\":[\"pdf-inline\"],\"id\":\"t3tPd2VH6e4i\"},\"source\":[\"## Inline Question 1: \\n\",\"\\n\",\"We've only asked you to implement ReLU, but there are a number of different activation functions that one could use in neural networks, each with its pros and cons. In particular, an issue commonly seen with activation functions is getting zero (or close to zero) gradient flow during backpropagation. Which of the following activation functions have this problem? If you consider these functions in the one dimensional case, what types of input would lead to this behaviour?\\n\",\"1. Sigmoid\\n\",\"2. ReLU\\n\",\"3. Leaky ReLU\\n\",\"\\n\",\"## Answer:\\n\",\"Activation functions that lead the gradient to get zero (or close to it) are **Sigmoid** and **ReLU**.\\n\",\"\\n\",\"Note that these activation functions could lead the gradient to zero partially or totally, it depends on the input values.\\n\",\"\\n\",\"One dimensional input that leads to this behavior:\\n\",\"- For the **Sigmoid**: Whatever neuron values will be (positive or negative, small or large), this activation function could lead the gradient to get zero (or close), a.k.a. Vanishing gradients. For that, any \\\"random\\\" example is correct, e.g. the input equals $[10, 3, 0.1, -0.05, -1, -5, ...]$.\\n\",\"- For the **ReLU**: By its definition, when neuron values are negative, e.g. the input equals $[-0.1, -0.5, -0.7, ...]$.\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"ARlWkAkk6e4j\"},\"source\":[\"# \\\"Sandwich\\\" layers\\n\",\"There are some common patterns of layers that are frequently used in neural nets. For example, affine layers are frequently followed by a ReLU nonlinearity. To make these common patterns easy, we define several convenience layers in the file `cs231n/layer_utils.py`.\\n\",\"\\n\",\"For now take a look at the `affine_relu_forward` and `affine_relu_backward` functions, and run the following to numerically gradient check the backward pass:\"]},{\"cell_type\":\"code\",\"metadata\":{\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"id\":\"nnIfVpCq6e4j\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1616343069123,\"user_tz\":-60,\"elapsed\":897,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"13adc039-0aac-4686-e6fa-0fc9518c0e31\"},\"source\":[\"from cs231n.layer_utils import affine_relu_forward, affine_relu_backward\\n\",\"np.random.seed(231)\\n\",\"x = np.random.randn(2, 3, 4)\\n\",\"w = np.random.randn(12, 10)\\n\",\"b = np.random.randn(10)\\n\",\"dout = np.random.randn(2, 10)\\n\",\"\\n\",\"out, cache = affine_relu_forward(x, w, b)\\n\",\"dx, dw, db = affine_relu_backward(dout, cache)\\n\",\"\\n\",\"dx_num = eval_numerical_gradient_array(lambda x: affine_relu_forward(x, w, b)[0], x, dout)\\n\",\"dw_num = eval_numerical_gradient_array(lambda w: affine_relu_forward(x, w, b)[0], w, dout)\\n\",\"db_num = eval_numerical_gradient_array(lambda b: affine_relu_forward(x, w, b)[0], b, dout)\\n\",\"\\n\",\"# Relative error should be around e-10 or less\\n\",\"print('Testing affine_relu_forward and affine_relu_backward:')\\n\",\"print('dx error: ', rel_error(dx_num, dx))\\n\",\"print('dw error: ', rel_error(dw_num, dw))\\n\",\"print('db error: ', rel_error(db_num, db))\"],\"execution_count\":8,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Testing affine_relu_forward and affine_relu_backward:\\n\",\"dx error:  2.299579177309368e-11\\n\",\"dw error:  8.162011105764925e-11\\n\",\"db error:  7.826724021458994e-12\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"SK-h9CRz6e4j\"},\"source\":[\"# Loss layers: Softmax and SVM\\n\",\"You implemented these loss functions in the last assignment, so we'll give them to you for free here. You should still make sure you understand how they work by looking at the implementations in `cs231n/layers.py`.\\n\",\"\\n\",\"You can make sure that the implementations are correct by running the following:\"]},{\"cell_type\":\"code\",\"metadata\":{\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"id\":\"Nrop5UXF6e4k\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1616343072688,\"user_tz\":-60,\"elapsed\":885,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"6ebb06e1-e87b-4b47-9762-6566d9c3ac16\"},\"source\":[\"np.random.seed(231)\\n\",\"num_classes, num_inputs = 10, 50\\n\",\"x = 0.001 * np.random.randn(num_inputs, num_classes)\\n\",\"y = np.random.randint(num_classes, size=num_inputs)\\n\",\"\\n\",\"dx_num = eval_numerical_gradient(lambda x: svm_loss(x, y)[0], x, verbose=False)\\n\",\"loss, dx = svm_loss(x, y)\\n\",\"\\n\",\"# Test svm_loss function. Loss should be around 9 and dx error should be around the order of e-9\\n\",\"print('Testing svm_loss:')\\n\",\"print('loss: ', loss)\\n\",\"print('dx error: ', rel_error(dx_num, dx))\\n\",\"\\n\",\"dx_num = eval_numerical_gradient(lambda x: softmax_loss(x, y)[0], x, verbose=False)\\n\",\"loss, dx = softmax_loss(x, y)\\n\",\"\\n\",\"# Test softmax_loss function. Loss should be close to 2.3 and dx error should be around e-8\\n\",\"print('\\\\nTesting softmax_loss:')\\n\",\"print('loss: ', loss)\\n\",\"print('dx error: ', rel_error(dx_num, dx))\"],\"execution_count\":9,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Testing svm_loss:\\n\",\"loss:  8.999602749096233\\n\",\"dx error:  1.4021566006651672e-09\\n\",\"\\n\",\"Testing softmax_loss:\\n\",\"loss:  2.302545844500738\\n\",\"dx error:  9.384673161989355e-09\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"A9uMrfou6e4l\"},\"source\":[\"# Two-layer network\\n\",\"In the previous assignment you implemented a two-layer neural network in a single monolithic class. Now that you have implemented modular versions of the necessary layers, you will reimplement the two layer network using these modular implementations.\\n\",\"\\n\",\"Open the file `cs231n/classifiers/fc_net.py` and complete the implementation of the `TwoLayerNet` class. This class will serve as a model for the other networks you will implement in this assignment, so read through it to make sure you understand the API. You can run the cell below to test your implementation.\"]},{\"cell_type\":\"code\",\"metadata\":{\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"id\":\"n05qKD9K6e4m\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1616343079234,\"user_tz\":-60,\"elapsed\":1221,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"cdcca0d7-2d36-44a8-da13-5286523ec855\"},\"source\":[\"np.random.seed(231)\\n\",\"N, D, H, C = 3, 5, 50, 7\\n\",\"X = np.random.randn(N, D)\\n\",\"y = np.random.randint(C, size=N)\\n\",\"\\n\",\"std = 1e-3\\n\",\"model = TwoLayerNet(input_dim=D, hidden_dim=H, num_classes=C, weight_scale=std)\\n\",\"\\n\",\"print('Testing initialization ... ')\\n\",\"W1_std = abs(model.params['W1'].std() - std)\\n\",\"b1 = model.params['b1']\\n\",\"W2_std = abs(model.params['W2'].std() - std)\\n\",\"b2 = model.params['b2']\\n\",\"assert W1_std < std / 10, 'First layer weights do not seem right'\\n\",\"assert np.all(b1 == 0), 'First layer biases do not seem right'\\n\",\"assert W2_std < std / 10, 'Second layer weights do not seem right'\\n\",\"assert np.all(b2 == 0), 'Second layer biases do not seem right'\\n\",\"\\n\",\"print('Testing test-time forward pass ... ')\\n\",\"model.params['W1'] = np.linspace(-0.7, 0.3, num=D*H).reshape(D, H)\\n\",\"model.params['b1'] = np.linspace(-0.1, 0.9, num=H)\\n\",\"model.params['W2'] = np.linspace(-0.3, 0.4, num=H*C).reshape(H, C)\\n\",\"model.params['b2'] = np.linspace(-0.9, 0.1, num=C)\\n\",\"X = np.linspace(-5.5, 4.5, num=N*D).reshape(D, N).T\\n\",\"scores = model.loss(X)\\n\",\"correct_scores = np.asarray(\\n\",\"  [[11.53165108,  12.2917344,   13.05181771,  13.81190102,  14.57198434, 15.33206765,  16.09215096],\\n\",\"   [12.05769098,  12.74614105,  13.43459113,  14.1230412,   14.81149128, 15.49994135,  16.18839143],\\n\",\"   [12.58373087,  13.20054771,  13.81736455,  14.43418138,  15.05099822, 15.66781506,  16.2846319 ]])\\n\",\"scores_diff = np.abs(scores - correct_scores).sum()\\n\",\"assert scores_diff < 1e-6, 'Problem with test-time forward pass'\\n\",\"\\n\",\"print('Testing training loss (no regularization)')\\n\",\"y = np.asarray([0, 5, 1])\\n\",\"loss, grads = model.loss(X, y)\\n\",\"correct_loss = 3.4702243556\\n\",\"assert abs(loss - correct_loss) < 1e-10, 'Problem with training-time loss'\\n\",\"\\n\",\"model.reg = 1.0\\n\",\"loss, grads = model.loss(X, y)\\n\",\"correct_loss = 26.5948426952\\n\",\"assert abs(loss - correct_loss) < 1e-10, 'Problem with regularization loss'\\n\",\"\\n\",\"# Errors should be around e-7 or less\\n\",\"for reg in [0.0, 0.7]:\\n\",\"  print('Running numeric gradient check with reg = ', reg)\\n\",\"  model.reg = reg\\n\",\"  loss, grads = model.loss(X, y)\\n\",\"\\n\",\"  for name in sorted(grads):\\n\",\"    f = lambda _: model.loss(X, y)[0]\\n\",\"    grad_num = eval_numerical_gradient(f, model.params[name], verbose=False)\\n\",\"    print('%s relative error: %.2e' % (name, rel_error(grad_num, grads[name])))\"],\"execution_count\":10,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Testing initialization ... \\n\",\"Testing test-time forward pass ... \\n\",\"Testing training loss (no regularization)\\n\",\"Running numeric gradient check with reg =  0.0\\n\",\"W1 relative error: 1.52e-08\\n\",\"W2 relative error: 3.21e-10\\n\",\"b1 relative error: 8.37e-09\\n\",\"b2 relative error: 4.33e-10\\n\",\"Running numeric gradient check with reg =  0.7\\n\",\"W1 relative error: 2.53e-07\\n\",\"W2 relative error: 2.85e-08\\n\",\"b1 relative error: 1.56e-08\\n\",\"b2 relative error: 7.76e-10\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"tIdex2q56e4n\"},\"source\":[\"# Solver\\n\",\"In the previous assignment, the logic for training models was coupled to the models themselves. Following a more modular design, for this assignment we have split the logic for training models into a separate class.\\n\",\"\\n\",\"Open the file `cs231n/solver.py` and read through it to familiarize yourself with the API. After doing so, use a `Solver` instance to train a `TwoLayerNet` that achieves at least `50%` accuracy on the validation set.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"tln_solver_accuracy\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1612461885396,\"user_tz\":-60,\"elapsed\":715226,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"7a39f8c3-b236-48b8-c348-f940daa1bef6\"},\"source\":[\"model = TwoLayerNet()\\n\",\"solver = None\\n\",\"\\n\",\"##############################################################################\\n\",\"# TODO: Use a Solver instance to train a TwoLayerNet that achieves at least  #\\n\",\"# 50% accuracy on the validation set.                                        #\\n\",\"##############################################################################\\n\",\"# *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\\n\",\"\\n\",\"# As explained in the course lectures, random search is a better strategy for\\n\",\"# hyperparameters tuning than the grid search.\\n\",\"def params_random_values(lr_range, reg_range, hidden_dim_range, epochs_range):\\n\",\"  lr = np.random.uniform(*lr_range)\\n\",\"  reg = np.random.uniform(*reg_range)\\n\",\"  hidden_dim = np.random.randint(*hidden_dim_range)\\n\",\"  epochs = np.random.randint(*epochs_range)\\n\",\"\\n\",\"  return lr, reg, hidden_dim, epochs\\n\",\"\\n\",\"# Define parameter values ranges for random search.\\n\",\"# Note that these ranges were adjusted during tests.\\n\",\"lr_range = (3e-4, 6e-4)\\n\",\"reg_range = (1, 2)\\n\",\"hidden_dim_range = (100, 200)\\n\",\"epochs_range = (10, 20)\\n\",\"\\n\",\"# Generate 5 random parameter values combinations.\\n\",\"# Note that combinations number was adjusted during tests.\\n\",\"test_params_values = []\\n\",\"for _ in range(5):\\n\",\"  curr_comb = params_random_values(lr_range, reg_range, hidden_dim_range, epochs_range)\\n\",\"  test_params_values.append(curr_comb)\\n\",\"\\n\",\"# Keep track of the best solver (such with the highest validation accuracy) during tests.\\n\",\"best_accuracy, best_solver = 0.0, None\\n\",\"\\n\",\"# Test each combination.\\n\",\"for idx, params_value in enumerate(test_params_values):\\n\",\"  lr, reg, hidden_dim, epochs = params_value\\n\",\"\\n\",\"  model = TwoLayerNet(reg=reg, hidden_dim=hidden_dim)\\n\",\"  solver = Solver(model, data,\\n\",\"                  update_rule='sgd',\\n\",\"                  optim_config={'learning_rate': lr},\\n\",\"                  lr_decay=0.9, num_epochs=epochs,\\n\",\"                  batch_size=100, verbose=False)\\n\",\"\\n\",\"  solver.train()\\n\",\"\\n\",\"  print('%2d) lr = %.2e | reg = %.3f | hidden_dim = %3d | epochs = %2d | ' \\n\",\"        % (idx+1, *params_value) + 'Accuracy = %.4f' % solver.best_val_acc)\\n\",\"\\n\",\"  if solver.best_val_acc > best_accuracy:\\n\",\"    best_accuracy = solver.best_val_acc\\n\",\"    best_solver = solver\\n\",\"\\n\",\"# Mark the best solver as the main one.\\n\",\"solver = best_solver\\n\",\"\\n\",\"print('\\\\nBest solver accuracy on the validation set is: %.4f' % solver.best_val_acc)\\n\",\"\\n\",\"# *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\\n\",\"##############################################################################\\n\",\"#                             END OF YOUR CODE                               #\\n\",\"##############################################################################\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\" 1) lr = 3.85e-04 | reg = 1.418 | hidden_dim = 169 | epochs = 16 | Accuracy = 0.5120\\n\",\" 2) lr = 5.33e-04 | reg = 1.191 | hidden_dim = 171 | epochs = 14 | Accuracy = 0.5300\\n\",\" 3) lr = 3.70e-04 | reg = 1.388 | hidden_dim = 141 | epochs = 17 | Accuracy = 0.5090\\n\",\" 4) lr = 3.48e-04 | reg = 2.006 | hidden_dim = 173 | epochs = 11 | Accuracy = 0.4930\\n\",\" 5) lr = 2.66e-04 | reg = 1.816 | hidden_dim = 119 | epochs = 10 | Accuracy = 0.4910\\n\",\"\\n\",\"Best solver accuracy on the validation set is: 0.5300\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"KpUtXsgI6e4o\",\"colab\":{\"base_uri\":\"https://localhost:8080/\",\"height\":730},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1612461937263,\"user_tz\":-60,\"elapsed\":1065,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"847048ab-9b1d-4f67-c5db-f0f9f02e16b4\"},\"source\":[\"# Run this cell to visualize training loss and train / val accuracy\\n\",\"\\n\",\"plt.subplot(2, 1, 1)\\n\",\"plt.title('Training loss')\\n\",\"plt.plot(solver.loss_history, 'o')\\n\",\"plt.xlabel('Iteration')\\n\",\"\\n\",\"plt.subplot(2, 1, 2)\\n\",\"plt.title('Accuracy')\\n\",\"plt.plot(solver.train_acc_history, '-o', label='train')\\n\",\"plt.plot(solver.val_acc_history, '-o', label='val')\\n\",\"plt.plot([0.5] * len(solver.val_acc_history), 'k--')\\n\",\"plt.xlabel('Epoch')\\n\",\"plt.legend(loc='lower right')\\n\",\"plt.gcf().set_size_inches(15, 12)\\n\",\"plt.show()\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 1080x864 with 2 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"XYhloSR86e4p\"},\"source\":[\"# Multilayer network\\n\",\"Next you will implement a fully-connected network with an arbitrary number of hidden layers.\\n\",\"\\n\",\"Read through the `FullyConnectedNet` class in the file `cs231n/classifiers/fc_net.py`.\\n\",\"\\n\",\"Implement the initialization, the forward pass, and the backward pass. For the moment don't worry about implementing dropout or batch/layer normalization; we will add those features soon.\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"BQbU47MT6e4p\"},\"source\":[\"## Initial loss and gradient check\\n\",\"\\n\",\"As a sanity check, run the following to check the initial loss and to gradient check the network both with and without regularization. Do the initial losses seem reasonable?\\n\",\"\\n\",\"For gradient checking, you should expect to see errors around 1e-7 or less.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"cdH0FRuk6e4q\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1616343131816,\"user_tz\":-60,\"elapsed\":2607,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"223727e5-82ab-4e68-8b23-8afa9cef6015\"},\"source\":[\"np.random.seed(231)\\n\",\"N, D, H1, H2, C = 2, 15, 20, 30, 10\\n\",\"X = np.random.randn(N, D)\\n\",\"y = np.random.randint(C, size=(N,))\\n\",\"\\n\",\"for reg in [0, 3.14]:\\n\",\"  print('Running check with reg = ', reg)\\n\",\"  model = FullyConnectedNet([H1, H2], input_dim=D, num_classes=C,\\n\",\"                            reg=reg, weight_scale=5e-2, dtype=np.float64)\\n\",\"\\n\",\"  loss, grads = model.loss(X, y)\\n\",\"  print('Initial loss: ', loss)\\n\",\"  \\n\",\"  # Most of the errors should be on the order of e-7 or smaller.   \\n\",\"  # NOTE: It is fine however to see an error for W2 on the order of e-5\\n\",\"  # for the check when reg = 0.0\\n\",\"  for name in sorted(grads):\\n\",\"    f = lambda _: model.loss(X, y)[0]\\n\",\"    grad_num = eval_numerical_gradient(f, model.params[name], verbose=False, h=1e-5)\\n\",\"    print('%s relative error: %.2e' % (name, rel_error(grad_num, grads[name])))\"],\"execution_count\":11,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Running check with reg =  0\\n\",\"Initial loss:  2.3004790897684924\\n\",\"W1 relative error: 1.48e-07\\n\",\"W2 relative error: 2.21e-05\\n\",\"W3 relative error: 3.53e-07\\n\",\"b1 relative error: 5.38e-09\\n\",\"b2 relative error: 2.09e-09\\n\",\"b3 relative error: 5.80e-11\\n\",\"Running check with reg =  3.14\\n\",\"Initial loss:  7.052114776533016\\n\",\"W1 relative error: 6.86e-09\\n\",\"W2 relative error: 3.52e-08\\n\",\"W3 relative error: 1.32e-08\\n\",\"b1 relative error: 1.48e-08\\n\",\"b2 relative error: 1.72e-09\\n\",\"b3 relative error: 1.80e-10\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"Sr-8mTZo6e4q\"},\"source\":[\"As another sanity check, make sure you can overfit a small dataset of 50 images. First we will try a three-layer network with 100 units in each hidden layer. In the following cell, tweak the **learning rate** and **weight initialization scale** to overfit and achieve 100% training accuracy within 20 epochs.\"]},{\"cell_type\":\"code\",\"metadata\":{\"scrolled\":false,\"id\":\"s2kyKTaT6e4s\",\"colab\":{\"base_uri\":\"https://localhost:8080/\",\"height\":713},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1616344360609,\"user_tz\":-60,\"elapsed\":15088,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"7953b900-4db6-47a3-aba9-6fdb554f8677\"},\"source\":[\"# TODO: Use a three-layer Net to overfit 50 training examples by \\n\",\"# tweaking just the learning rate and initialization scale.\\n\",\"\\n\",\"num_train = 50\\n\",\"small_data = {\\n\",\"  'X_train': data['X_train'][:num_train],\\n\",\"  'y_train': data['y_train'][:num_train],\\n\",\"  'X_val': data['X_val'],\\n\",\"  'y_val': data['y_val'],\\n\",\"}\\n\",\"\\n\",\"best_accuracy, best_solver = 0.0, None\\n\",\"\\n\",\"# Generate 10 random values of 'weight_scale' and 'learning_rate'.\\n\",\"# Note that the range (for both hyperparameters) was adjusted during tests.\\n\",\"num_combinations = 10\\n\",\"\\n\",\"weight_scale_values = np.random.uniform(9e-3, 1e-2, num_combinations)\\n\",\"learning_rate_values = np.random.uniform(7e-3, 9e-3, num_combinations)\\n\",\"\\n\",\"for idx in range(num_combinations):\\n\",\"  weight_scale = weight_scale_values[idx]\\n\",\"  learning_rate = learning_rate_values[idx]\\n\",\"\\n\",\"  model = FullyConnectedNet([100, 100],\\n\",\"                weight_scale=weight_scale, dtype=np.float64)\\n\",\"  solver = Solver(model, small_data,\\n\",\"                  print_every=10, num_epochs=20, batch_size=25,\\n\",\"                  update_rule='sgd',\\n\",\"                  optim_config={\\n\",\"                    'learning_rate': learning_rate,\\n\",\"                  },\\n\",\"                  verbose=False\\n\",\"          )\\n\",\"  \\n\",\"  solver.train()\\n\",\"\\n\",\"  train_acc = solver.check_accuracy(small_data['X_train'], small_data['y_train'],\\n\",\"                                    batch_size=num_train)\\n\",\"\\n\",\"  print('%2d) weight_scale = %.2e | learning_rate = %.2e ' % (idx+1, weight_scale, learning_rate) +\\n\",\"        '| Accuracy = %.4f' % train_acc)\\n\",\"\\n\",\"  if train_acc > best_accuracy:\\n\",\"    best_accuracy = train_acc\\n\",\"    best_solver = solver\\n\",\"\\n\",\"solver = best_solver\\n\",\"print('\\\\nBest solver accuracy on the train set is: %.4f' % best_accuracy)\\n\",\"\\n\",\"plt.plot(solver.loss_history, 'o')\\n\",\"plt.title('Training loss history')\\n\",\"plt.xlabel('Iteration')\\n\",\"plt.ylabel('Training loss')\\n\",\"plt.show()\"],\"execution_count\":31,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\" 1) weight_scale = 9.96e-03 | learning_rate = 8.92e-03 | Accuracy = 0.8400\\n\",\" 2) weight_scale = 9.45e-03 | learning_rate = 7.44e-03 | Accuracy = 0.9600\\n\",\" 3) weight_scale = 9.09e-03 | learning_rate = 8.65e-03 | Accuracy = 0.7000\\n\",\" 4) weight_scale = 9.21e-03 | learning_rate = 8.17e-03 | Accuracy = 0.9600\\n\",\" 5) weight_scale = 9.81e-03 | learning_rate = 8.45e-03 | Accuracy = 0.9400\\n\",\" 6) weight_scale = 9.88e-03 | learning_rate = 7.88e-03 | Accuracy = 1.0000\\n\",\" 7) weight_scale = 9.37e-03 | learning_rate = 7.31e-03 | Accuracy = 1.0000\\n\",\" 8) weight_scale = 9.60e-03 | learning_rate = 8.90e-03 | Accuracy = 0.7400\\n\",\" 9) weight_scale = 9.40e-03 | learning_rate = 8.39e-03 | Accuracy = 0.9400\\n\",\"10) weight_scale = 9.50e-03 | learning_rate = 8.74e-03 | Accuracy = 0.9800\\n\",\"\\n\",\"Best solver accuracy on the train set is: 1.0000\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 720x576 with 1 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"m2IfmatP6e4s\"},\"source\":[\"Now try to use a five-layer network with 100 units on each layer to overfit 50 training examples. Again, you will have to adjust the learning rate and weight initialization scale, but you should be able to achieve 100% training accuracy within 20 epochs.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"XKrICJRn6e4s\",\"colab\":{\"base_uri\":\"https://localhost:8080/\",\"height\":713},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1616343890741,\"user_tz\":-60,\"elapsed\":16976,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"e5c09acf-2fc0-4ef5-d144-9044f31534fb\"},\"source\":[\"# TODO: Use a five-layer Net to overfit 50 training examples by \\n\",\"# tweaking just the learning rate and initialization scale.\\n\",\"\\n\",\"num_train = 50\\n\",\"small_data = {\\n\",\"  'X_train': data['X_train'][:num_train],\\n\",\"  'y_train': data['y_train'][:num_train],\\n\",\"  'X_val': data['X_val'],\\n\",\"  'y_val': data['y_val'],\\n\",\"}\\n\",\"\\n\",\"best_accuracy, best_solver = 0.0, None\\n\",\"\\n\",\"# Generate 10 random values of 'weight_scale' and 'learning_rate'.\\n\",\"# Note that the range (for both hyperparameters) was adjusted during tests.\\n\",\"num_combinations = 10\\n\",\"\\n\",\"weight_scale_values = np.random.uniform(9e-2, 1e-1, num_combinations)\\n\",\"learning_rate_values = np.random.uniform(1e-3, 4e-3, num_combinations)\\n\",\"\\n\",\"for idx in range(num_combinations):\\n\",\"  weight_scale = weight_scale_values[idx]\\n\",\"  learning_rate = learning_rate_values[idx]\\n\",\"\\n\",\"  model = FullyConnectedNet([100, 100, 100, 100],\\n\",\"                  weight_scale=weight_scale, dtype=np.float64)\\n\",\"  solver = Solver(model, small_data,\\n\",\"                  print_every=10, num_epochs=20, batch_size=25,\\n\",\"                  update_rule='sgd',\\n\",\"                  optim_config={\\n\",\"                    'learning_rate': learning_rate,\\n\",\"                  },\\n\",\"                  verbose=False\\n\",\"          )\\n\",\"  \\n\",\"  solver.train()\\n\",\"\\n\",\"  train_acc = solver.check_accuracy(small_data['X_train'], small_data['y_train'],\\n\",\"                                    batch_size=num_train)\\n\",\"\\n\",\"  print('%2d) weight_scale = %.2e | learning_rate = %.2e ' % (idx+1, weight_scale, learning_rate) +\\n\",\"        '| Accuracy = %.4f' % train_acc)\\n\",\"\\n\",\"  if train_acc > best_accuracy:\\n\",\"    best_accuracy = train_acc\\n\",\"    best_solver = solver\\n\",\"\\n\",\"solver = best_solver\\n\",\"print('\\\\nBest solver accuracy on the train set is: %.4f' % best_accuracy)\\n\",\"\\n\",\"plt.plot(solver.loss_history, 'o')\\n\",\"plt.title('Training loss history')\\n\",\"plt.xlabel('Iteration')\\n\",\"plt.ylabel('Training loss')\\n\",\"plt.show()\"],\"execution_count\":28,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\" 1) weight_scale = 9.26e-02 | learning_rate = 3.83e-03 | Accuracy = 0.7000\\n\",\" 2) weight_scale = 9.59e-02 | learning_rate = 1.55e-03 | Accuracy = 0.2200\\n\",\" 3) weight_scale = 9.48e-02 | learning_rate = 2.32e-03 | Accuracy = 0.8800\\n\",\" 4) weight_scale = 9.76e-02 | learning_rate = 2.07e-03 | Accuracy = 0.9600\\n\",\" 5) weight_scale = 9.71e-02 | learning_rate = 3.56e-03 | Accuracy = 0.4400\\n\",\" 6) weight_scale = 9.44e-02 | learning_rate = 3.88e-03 | Accuracy = 0.9200\\n\",\" 7) weight_scale = 9.38e-02 | learning_rate = 1.62e-03 | Accuracy = 1.0000\\n\",\" 8) weight_scale = 9.15e-02 | learning_rate = 1.90e-03 | Accuracy = 0.9200\\n\",\" 9) weight_scale = 9.26e-02 | learning_rate = 1.44e-03 | Accuracy = 1.0000\\n\",\"10) weight_scale = 9.88e-02 | learning_rate = 2.39e-03 | Accuracy = 0.1600\\n\",\"\\n\",\"Best solver accuracy on the train set is: 1.0000\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 720x576 with 1 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}}]},{\"cell_type\":\"markdown\",\"metadata\":{\"tags\":[\"pdf-inline\"],\"id\":\"TiAXbzA16e4-\"},\"source\":[\"## Inline Question 2: \\n\",\"Did you notice anything about the comparative difficulty of training the three-layer net vs training the five layer net? In particular, based on your experience, which network seemed more sensitive to the initialization scale? Why do you think that is the case?\\n\",\"\\n\",\"## Answer:\\n\",\"I run some tests on a range of the `weight_scale` parameter, from `1e-5` to `5e-1`. For the `learning_rate`, I picked the best one which allows overfitting a small dataset (individual for both **3-Layer** and **5-Layer** Nets). Results (validation accuracies) are shown in the table below.\\n\",\"\\n\",\"|        Weight scale        | 1e-5 | 5e-5 | 1e-4 | 5e-4 | 1e-3 | 5e-3 | 1e-2 | 5e-2 | 1e-1 | 5e-1 |\\n\",\"|:--------------------------:|:----:|:----:|:----:|:----:|:----:|:----:|:----:|:----:|:----:|:----:|\\n\",\"|  3-Layer Net (lr=7.44e-03) | 0.16 | 0.12 | 0.10 | 0.10 | 0.16 | 0.72 | 0.98 | 0.40 | 0.12 | 0.16 |\\n\",\"|  5-Layer Net (lr=2.00e-03) | 0.16 | 0.16 | 0.12 | 0.16 | 0.16 | 0.18 | 0.18 | 0.98 | 0.78 |   -  |\\n\",\"\\n\",\"From the table above, we cannot decide which network is more sensitive to the initialization scale. Thus, we have to analyze the evolution of the loss (in the two graphs above).\\n\",\"\\n\",\"From the two graphs above, we notice that the **5-Layer Net** is more difficult to train, because the loss decreases quickly. For that, the **5-Layer Net** is more sensitive to the initialization scale. That's due to the fact that the **5-Layer Net** has more layers, which can lead (in the worst scenario) to one of the two cases:\\n\",\"- The **low** (e.g. 1e-4) init scale can lead to the **vanishing gradients** problem, as we multiply by **small values** in the backpropgation.\\n\",\"- The **high** (e.g. 1e-1) init scale can lead to the **exploding gradients** problem, as we multiply by **big values** in the backpropagation.\\n\",\"\\n\",\"Note that these two cases are likely to occur in the **3-Layer Net** also, but the **5-Layer Net** is more prone to these issues.\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"D4Mm_Hf86e4-\"},\"source\":[\"# Update rules\\n\",\"So far we have used vanilla stochastic gradient descent (SGD) as our update rule. More sophisticated update rules can make it easier to train deep networks. We will implement a few of the most commonly used update rules and compare them to vanilla SGD.\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"0zPfUlx66e4-\"},\"source\":[\"# SGD+Momentum\\n\",\"Stochastic gradient descent with momentum is a widely used update rule that tends to make deep networks converge faster than vanilla stochastic gradient descent. See the Momentum Update section at http://cs231n.github.io/neural-networks-3/#sgd for more information.\\n\",\"\\n\",\"Open the file `cs231n/optim.py` and read the documentation at the top of the file to make sure you understand the API. Implement the SGD+momentum update rule in the function `sgd_momentum` and run the following to check your implementation. You should see errors less than e-8.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"DL6wvk8L6e4_\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1616348670626,\"user_tz\":-60,\"elapsed\":975,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"beb2fb0b-8faf-47a2-a392-a32dc36b817a\"},\"source\":[\"from cs231n.optim import sgd_momentum\\n\",\"\\n\",\"N, D = 4, 5\\n\",\"w = np.linspace(-0.4, 0.6, num=N*D).reshape(N, D)\\n\",\"dw = np.linspace(-0.6, 0.4, num=N*D).reshape(N, D)\\n\",\"v = np.linspace(0.6, 0.9, num=N*D).reshape(N, D)\\n\",\"\\n\",\"config = {'learning_rate': 1e-3, 'velocity': v}\\n\",\"next_w, _ = sgd_momentum(w, dw, config=config)\\n\",\"\\n\",\"expected_next_w = np.asarray([\\n\",\"  [ 0.1406,      0.20738947,  0.27417895,  0.34096842,  0.40775789],\\n\",\"  [ 0.47454737,  0.54133684,  0.60812632,  0.67491579,  0.74170526],\\n\",\"  [ 0.80849474,  0.87528421,  0.94207368,  1.00886316,  1.07565263],\\n\",\"  [ 1.14244211,  1.20923158,  1.27602105,  1.34281053,  1.4096    ]])\\n\",\"expected_velocity = np.asarray([\\n\",\"  [ 0.5406,      0.55475789,  0.56891579, 0.58307368,  0.59723158],\\n\",\"  [ 0.61138947,  0.62554737,  0.63970526,  0.65386316,  0.66802105],\\n\",\"  [ 0.68217895,  0.69633684,  0.71049474,  0.72465263,  0.73881053],\\n\",\"  [ 0.75296842,  0.76712632,  0.78128421,  0.79544211,  0.8096    ]])\\n\",\"\\n\",\"# Should see relative errors around e-8 or less\\n\",\"print('next_w error: ', rel_error(next_w, expected_next_w))\\n\",\"print('velocity error: ', rel_error(expected_velocity, config['velocity']))\"],\"execution_count\":32,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"next_w error:  8.882347033505819e-09\\n\",\"velocity error:  4.269287743278663e-09\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"lDaHzWI36e5A\"},\"source\":[\"Once you have done so, run the following to train a six-layer network with both SGD and SGD+momentum. You should see the SGD+momentum update rule converge faster.\"]},{\"cell_type\":\"code\",\"metadata\":{\"scrolled\":false,\"id\":\"YsLEPP_46e5A\",\"colab\":{\"base_uri\":\"https://localhost:8080/\",\"height\":1000},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1612473276942,\"user_tz\":-60,\"elapsed\":8668,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"47758191-b438-48fe-a810-b466e9aaa698\"},\"source\":[\"num_train = 4000\\n\",\"small_data = {\\n\",\"  'X_train': data['X_train'][:num_train],\\n\",\"  'y_train': data['y_train'][:num_train],\\n\",\"  'X_val': data['X_val'],\\n\",\"  'y_val': data['y_val'],\\n\",\"}\\n\",\"\\n\",\"solvers = {}\\n\",\"\\n\",\"for update_rule in ['sgd', 'sgd_momentum']:\\n\",\"  print('running with ', update_rule)\\n\",\"  model = FullyConnectedNet([100, 100, 100, 100, 100], weight_scale=5e-2)\\n\",\"\\n\",\"  solver = Solver(model, small_data,\\n\",\"                  num_epochs=5, batch_size=100,\\n\",\"                  update_rule=update_rule,\\n\",\"                  optim_config={\\n\",\"                    'learning_rate': 5e-3,\\n\",\"                  },\\n\",\"                  verbose=True)\\n\",\"  solvers[update_rule] = solver\\n\",\"  solver.train()\\n\",\"  print()\\n\",\"\\n\",\"plt.subplot(3, 1, 1)\\n\",\"plt.title('Training loss')\\n\",\"plt.xlabel('Iteration')\\n\",\"\\n\",\"plt.subplot(3, 1, 2)\\n\",\"plt.title('Training accuracy')\\n\",\"plt.xlabel('Epoch')\\n\",\"\\n\",\"plt.subplot(3, 1, 3)\\n\",\"plt.title('Validation accuracy')\\n\",\"plt.xlabel('Epoch')\\n\",\"\\n\",\"for update_rule, solver in solvers.items():\\n\",\"  plt.subplot(3, 1, 1)\\n\",\"  plt.plot(solver.loss_history, 'o', label=\\\"loss_%s\\\" % update_rule)\\n\",\"  \\n\",\"  plt.subplot(3, 1, 2)\\n\",\"  plt.plot(solver.train_acc_history, '-o', label=\\\"train_acc_%s\\\" % update_rule)\\n\",\"\\n\",\"  plt.subplot(3, 1, 3)\\n\",\"  plt.plot(solver.val_acc_history, '-o', label=\\\"val_acc_%s\\\" % update_rule)\\n\",\"  \\n\",\"for i in [1, 2, 3]:\\n\",\"  plt.subplot(3, 1, i)\\n\",\"  plt.legend(loc='upper center', ncol=4)\\n\",\"plt.gcf().set_size_inches(15, 15)\\n\",\"plt.show()\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"running with  sgd\\n\",\"(Iteration 1 / 200) loss: 2.460194\\n\",\"(Epoch 0 / 5) train acc: 0.122000; val_acc: 0.105000\\n\",\"(Iteration 11 / 200) loss: 2.270591\\n\",\"(Iteration 21 / 200) loss: 2.274979\\n\",\"(Iteration 31 / 200) loss: 2.165625\\n\",\"(Epoch 1 / 5) train acc: 0.216000; val_acc: 0.216000\\n\",\"(Iteration 41 / 200) loss: 2.139597\\n\",\"(Iteration 51 / 200) loss: 2.097792\\n\",\"(Iteration 61 / 200) loss: 1.997002\\n\",\"(Iteration 71 / 200) loss: 2.042961\\n\",\"(Epoch 2 / 5) train acc: 0.279000; val_acc: 0.266000\\n\",\"(Iteration 81 / 200) loss: 2.069637\\n\",\"(Iteration 91 / 200) loss: 2.031380\\n\",\"(Iteration 101 / 200) loss: 1.981451\\n\",\"(Iteration 111 / 200) loss: 1.991929\\n\",\"(Epoch 3 / 5) train acc: 0.307000; val_acc: 0.292000\\n\",\"(Iteration 121 / 200) loss: 1.911158\\n\",\"(Iteration 131 / 200) loss: 1.953267\\n\",\"(Iteration 141 / 200) loss: 2.105554\\n\",\"(Iteration 151 / 200) loss: 2.109657\\n\",\"(Epoch 4 / 5) train acc: 0.338000; val_acc: 0.304000\\n\",\"(Iteration 161 / 200) loss: 1.882566\\n\",\"(Iteration 171 / 200) loss: 1.768357\\n\",\"(Iteration 181 / 200) loss: 1.800674\\n\",\"(Iteration 191 / 200) loss: 1.796057\\n\",\"(Epoch 5 / 5) train acc: 0.349000; val_acc: 0.305000\\n\",\"\\n\",\"running with  sgd_momentum\\n\",\"(Iteration 1 / 200) loss: 2.869109\\n\",\"(Epoch 0 / 5) train acc: 0.124000; val_acc: 0.124000\\n\",\"(Iteration 11 / 200) loss: 2.211370\\n\",\"(Iteration 21 / 200) loss: 2.070362\\n\",\"(Iteration 31 / 200) loss: 1.928417\\n\",\"(Epoch 1 / 5) train acc: 0.337000; val_acc: 0.295000\\n\",\"(Iteration 41 / 200) loss: 1.956824\\n\",\"(Iteration 51 / 200) loss: 1.925771\\n\",\"(Iteration 61 / 200) loss: 1.732797\\n\",\"(Iteration 71 / 200) loss: 1.704392\\n\",\"(Epoch 2 / 5) train acc: 0.419000; val_acc: 0.330000\\n\",\"(Iteration 81 / 200) loss: 1.663840\\n\",\"(Iteration 91 / 200) loss: 1.515460\\n\",\"(Iteration 101 / 200) loss: 1.520019\\n\",\"(Iteration 111 / 200) loss: 1.574483\\n\",\"(Epoch 3 / 5) train acc: 0.456000; val_acc: 0.327000\\n\",\"(Iteration 121 / 200) loss: 1.706847\\n\",\"(Iteration 131 / 200) loss: 1.336883\\n\",\"(Iteration 141 / 200) loss: 1.473617\\n\",\"(Iteration 151 / 200) loss: 1.483828\\n\",\"(Epoch 4 / 5) train acc: 0.522000; val_acc: 0.331000\\n\",\"(Iteration 161 / 200) loss: 1.268828\\n\",\"(Iteration 171 / 200) loss: 1.474310\\n\",\"(Iteration 181 / 200) loss: 1.473248\\n\",\"(Iteration 191 / 200) loss: 1.368022\\n\",\"(Epoch 5 / 5) train acc: 0.558000; val_acc: 0.365000\\n\",\"\\n\"],\"name\":\"stdout\"},{\"output_type\":\"stream\",\"text\":[\"/usr/local/lib/python3.6/dist-packages/ipykernel_launcher.py:39: MatplotlibDeprecationWarning: Adding an axes using the same arguments as a previous axes currently reuses the earlier instance.  In a future version, a new instance will always be created and returned.  Meanwhile, this warning can be suppressed, and the future behavior ensured, by passing a unique label to each axes instance.\\n\",\"/usr/local/lib/python3.6/dist-packages/ipykernel_launcher.py:42: MatplotlibDeprecationWarning: Adding an axes using the same arguments as a previous axes currently reuses the earlier instance.  In a future version, a new instance will always be created and returned.  Meanwhile, this warning can be suppressed, and the future behavior ensured, by passing a unique label to each axes instance.\\n\",\"/usr/local/lib/python3.6/dist-packages/ipykernel_launcher.py:45: MatplotlibDeprecationWarning: Adding an axes using the same arguments as a previous axes currently reuses the earlier instance.  In a future version, a new instance will always be created and returned.  Meanwhile, this warning can be suppressed, and the future behavior ensured, by passing a unique label to each axes instance.\\n\",\"/usr/local/lib/python3.6/dist-packages/ipykernel_launcher.py:49: MatplotlibDeprecationWarning: Adding an axes using the same arguments as a previous axes currently reuses the earlier instance.  In a future version, a new instance will always be created and returned.  Meanwhile, this warning can be suppressed, and the future behavior ensured, by passing a unique label to each axes instance.\\n\"],\"name\":\"stderr\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 1080x1080 with 3 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"cdf_UeJK6e5A\"},\"source\":[\"# RMSProp and Adam\\n\",\"RMSProp [1] and Adam [2] are update rules that set per-parameter learning rates by using a running average of the second moments of gradients.\\n\",\"\\n\",\"In the file `cs231n/optim.py`, implement the RMSProp update rule in the `rmsprop` function and implement the Adam update rule in the `adam` function, and check your implementations using the tests below.\\n\",\"\\n\",\"**NOTE:** Please implement the _complete_ Adam update rule (with the bias correction mechanism), not the first simplified version mentioned in the course notes. \\n\",\"\\n\",\"[1] Tijmen Tieleman and Geoffrey Hinton. \\\"Lecture 6.5-rmsprop: Divide the gradient by a running average of its recent magnitude.\\\" COURSERA: Neural Networks for Machine Learning 4 (2012).\\n\",\"\\n\",\"[2] Diederik Kingma and Jimmy Ba, \\\"Adam: A Method for Stochastic Optimization\\\", ICLR 2015.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"PWBxZOWX6e5A\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1616348681202,\"user_tz\":-60,\"elapsed\":978,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"bbe6dd0f-6a4f-4a24-98f0-f19285cf400e\"},\"source\":[\"# Test RMSProp implementation\\n\",\"from cs231n.optim import rmsprop\\n\",\"\\n\",\"N, D = 4, 5\\n\",\"w = np.linspace(-0.4, 0.6, num=N*D).reshape(N, D)\\n\",\"dw = np.linspace(-0.6, 0.4, num=N*D).reshape(N, D)\\n\",\"cache = np.linspace(0.6, 0.9, num=N*D).reshape(N, D)\\n\",\"\\n\",\"config = {'learning_rate': 1e-2, 'cache': cache}\\n\",\"next_w, _ = rmsprop(w, dw, config=config)\\n\",\"\\n\",\"expected_next_w = np.asarray([\\n\",\"  [-0.39223849, -0.34037513, -0.28849239, -0.23659121, -0.18467247],\\n\",\"  [-0.132737,   -0.08078555, -0.02881884,  0.02316247,  0.07515774],\\n\",\"  [ 0.12716641,  0.17918792,  0.23122175,  0.28326742,  0.33532447],\\n\",\"  [ 0.38739248,  0.43947102,  0.49155973,  0.54365823,  0.59576619]])\\n\",\"expected_cache = np.asarray([\\n\",\"  [ 0.5976,      0.6126277,   0.6277108,   0.64284931,  0.65804321],\\n\",\"  [ 0.67329252,  0.68859723,  0.70395734,  0.71937285,  0.73484377],\\n\",\"  [ 0.75037008,  0.7659518,   0.78158892,  0.79728144,  0.81302936],\\n\",\"  [ 0.82883269,  0.84469141,  0.86060554,  0.87657507,  0.8926    ]])\\n\",\"\\n\",\"# You should see relative errors around e-7 or less\\n\",\"print('next_w error: ', rel_error(expected_next_w, next_w))\\n\",\"print('cache error: ', rel_error(expected_cache, config['cache']))\"],\"execution_count\":33,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"next_w error:  9.524687511038133e-08\\n\",\"cache error:  2.6477955807156126e-09\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"aHUqK1Gx6e5B\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1616348690097,\"user_tz\":-60,\"elapsed\":960,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"4f6ee302-461f-45b2-e42a-262218628c34\"},\"source\":[\"# Test Adam implementation\\n\",\"from cs231n.optim import adam\\n\",\"\\n\",\"N, D = 4, 5\\n\",\"w = np.linspace(-0.4, 0.6, num=N*D).reshape(N, D)\\n\",\"dw = np.linspace(-0.6, 0.4, num=N*D).reshape(N, D)\\n\",\"m = np.linspace(0.6, 0.9, num=N*D).reshape(N, D)\\n\",\"v = np.linspace(0.7, 0.5, num=N*D).reshape(N, D)\\n\",\"\\n\",\"config = {'learning_rate': 1e-2, 'm': m, 'v': v, 't': 5}\\n\",\"next_w, _ = adam(w, dw, config=config)\\n\",\"\\n\",\"expected_next_w = np.asarray([\\n\",\"  [-0.40094747, -0.34836187, -0.29577703, -0.24319299, -0.19060977],\\n\",\"  [-0.1380274,  -0.08544591, -0.03286534,  0.01971428,  0.0722929],\\n\",\"  [ 0.1248705,   0.17744702,  0.23002243,  0.28259667,  0.33516969],\\n\",\"  [ 0.38774145,  0.44031188,  0.49288093,  0.54544852,  0.59801459]])\\n\",\"expected_v = np.asarray([\\n\",\"  [ 0.69966,     0.68908382,  0.67851319,  0.66794809,  0.65738853,],\\n\",\"  [ 0.64683452,  0.63628604,  0.6257431,   0.61520571,  0.60467385,],\\n\",\"  [ 0.59414753,  0.58362676,  0.57311152,  0.56260183,  0.55209767,],\\n\",\"  [ 0.54159906,  0.53110598,  0.52061845,  0.51013645,  0.49966,   ]])\\n\",\"expected_m = np.asarray([\\n\",\"  [ 0.48,        0.49947368,  0.51894737,  0.53842105,  0.55789474],\\n\",\"  [ 0.57736842,  0.59684211,  0.61631579,  0.63578947,  0.65526316],\\n\",\"  [ 0.67473684,  0.69421053,  0.71368421,  0.73315789,  0.75263158],\\n\",\"  [ 0.77210526,  0.79157895,  0.81105263,  0.83052632,  0.85      ]])\\n\",\"\\n\",\"# You should see relative errors around e-7 or less\\n\",\"print('next_w error: ', rel_error(expected_next_w, next_w))\\n\",\"print('v error: ', rel_error(expected_v, config['v']))\\n\",\"print('m error: ', rel_error(expected_m, config['m']))\"],\"execution_count\":34,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"next_w error:  1.1395691798535431e-07\\n\",\"v error:  4.208314038113071e-09\\n\",\"m error:  4.214963193114416e-09\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"IKCXnhnW6e5B\"},\"source\":[\"Once you have debugged your RMSProp and Adam implementations, run the following to train a pair of deep networks using these new update rules:\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"viZMbPdw6e5B\",\"colab\":{\"base_uri\":\"https://localhost:8080/\",\"height\":1000},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1612474682285,\"user_tz\":-60,\"elapsed\":11258,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"15493f1a-b5cb-41cc-eb00-d1c19bd34e73\"},\"source\":[\"learning_rates = {'rmsprop': 1e-4, 'adam': 1e-3}\\n\",\"for update_rule in ['adam', 'rmsprop']:\\n\",\"  print('running with ', update_rule)\\n\",\"  model = FullyConnectedNet([100, 100, 100, 100, 100], weight_scale=5e-2)\\n\",\"\\n\",\"  solver = Solver(model, small_data,\\n\",\"                  num_epochs=5, batch_size=100,\\n\",\"                  update_rule=update_rule,\\n\",\"                  optim_config={\\n\",\"                    'learning_rate': learning_rates[update_rule]\\n\",\"                  },\\n\",\"                  verbose=True)\\n\",\"  solvers[update_rule] = solver\\n\",\"  solver.train()\\n\",\"  print()\\n\",\"\\n\",\"plt.subplot(3, 1, 1)\\n\",\"plt.title('Training loss')\\n\",\"plt.xlabel('Iteration')\\n\",\"\\n\",\"plt.subplot(3, 1, 2)\\n\",\"plt.title('Training accuracy')\\n\",\"plt.xlabel('Epoch')\\n\",\"\\n\",\"plt.subplot(3, 1, 3)\\n\",\"plt.title('Validation accuracy')\\n\",\"plt.xlabel('Epoch')\\n\",\"\\n\",\"for update_rule, solver in list(solvers.items()):\\n\",\"  plt.subplot(3, 1, 1)\\n\",\"  plt.plot(solver.loss_history, 'o', label=update_rule)\\n\",\"  \\n\",\"  plt.subplot(3, 1, 2)\\n\",\"  plt.plot(solver.train_acc_history, '-o', label=update_rule)\\n\",\"\\n\",\"  plt.subplot(3, 1, 3)\\n\",\"  plt.plot(solver.val_acc_history, '-o', label=update_rule)\\n\",\"  \\n\",\"for i in [1, 2, 3]:\\n\",\"  plt.subplot(3, 1, i)\\n\",\"  plt.legend(loc='upper center', ncol=4)\\n\",\"plt.gcf().set_size_inches(15, 15)\\n\",\"plt.show()\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"running with  adam\\n\",\"(Iteration 1 / 200) loss: 2.683026\\n\",\"(Epoch 0 / 5) train acc: 0.133000; val_acc: 0.107000\\n\",\"(Iteration 11 / 200) loss: 2.094550\\n\",\"(Iteration 21 / 200) loss: 2.001838\\n\",\"(Iteration 31 / 200) loss: 1.916622\\n\",\"(Epoch 1 / 5) train acc: 0.314000; val_acc: 0.299000\\n\",\"(Iteration 41 / 200) loss: 1.849029\\n\",\"(Iteration 51 / 200) loss: 1.761948\\n\",\"(Iteration 61 / 200) loss: 1.622183\\n\",\"(Iteration 71 / 200) loss: 1.602142\\n\",\"(Epoch 2 / 5) train acc: 0.430000; val_acc: 0.336000\\n\",\"(Iteration 81 / 200) loss: 1.548003\\n\",\"(Iteration 91 / 200) loss: 1.679375\\n\",\"(Iteration 101 / 200) loss: 1.445859\\n\",\"(Iteration 111 / 200) loss: 1.460205\\n\",\"(Epoch 3 / 5) train acc: 0.484000; val_acc: 0.362000\\n\",\"(Iteration 121 / 200) loss: 1.419457\\n\",\"(Iteration 131 / 200) loss: 1.465910\\n\",\"(Iteration 141 / 200) loss: 1.618236\\n\",\"(Iteration 151 / 200) loss: 1.559929\\n\",\"(Epoch 4 / 5) train acc: 0.498000; val_acc: 0.347000\\n\",\"(Iteration 161 / 200) loss: 1.218347\\n\",\"(Iteration 171 / 200) loss: 1.018907\\n\",\"(Iteration 181 / 200) loss: 1.541438\\n\",\"(Iteration 191 / 200) loss: 1.284076\\n\",\"(Epoch 5 / 5) train acc: 0.561000; val_acc: 0.369000\\n\",\"\\n\",\"running with  rmsprop\\n\",\"(Iteration 1 / 200) loss: 2.592519\\n\",\"(Epoch 0 / 5) train acc: 0.116000; val_acc: 0.125000\\n\",\"(Iteration 11 / 200) loss: 2.126185\\n\",\"(Iteration 21 / 200) loss: 1.931993\\n\",\"(Iteration 31 / 200) loss: 1.833948\\n\",\"(Epoch 1 / 5) train acc: 0.375000; val_acc: 0.313000\\n\",\"(Iteration 41 / 200) loss: 1.801159\\n\",\"(Iteration 51 / 200) loss: 1.831144\\n\",\"(Iteration 61 / 200) loss: 1.593434\\n\",\"(Iteration 71 / 200) loss: 1.786832\\n\",\"(Epoch 2 / 5) train acc: 0.432000; val_acc: 0.342000\\n\",\"(Iteration 81 / 200) loss: 1.614097\\n\",\"(Iteration 91 / 200) loss: 1.610597\\n\",\"(Iteration 101 / 200) loss: 1.656030\\n\",\"(Iteration 111 / 200) loss: 1.586038\\n\",\"(Epoch 3 / 5) train acc: 0.487000; val_acc: 0.335000\\n\",\"(Iteration 121 / 200) loss: 1.409576\\n\",\"(Iteration 131 / 200) loss: 1.550687\\n\",\"(Iteration 141 / 200) loss: 1.539730\\n\",\"(Iteration 151 / 200) loss: 1.614167\\n\",\"(Epoch 4 / 5) train acc: 0.499000; val_acc: 0.367000\\n\",\"(Iteration 161 / 200) loss: 1.581322\\n\",\"(Iteration 171 / 200) loss: 1.454006\\n\",\"(Iteration 181 / 200) loss: 1.486930\\n\",\"(Iteration 191 / 200) loss: 1.463776\\n\",\"(Epoch 5 / 5) train acc: 0.516000; val_acc: 0.341000\\n\",\"\\n\"],\"name\":\"stdout\"},{\"output_type\":\"stream\",\"text\":[\"/usr/local/lib/python3.6/dist-packages/ipykernel_launcher.py:30: MatplotlibDeprecationWarning: Adding an axes using the same arguments as a previous axes currently reuses the earlier instance.  In a future version, a new instance will always be created and returned.  Meanwhile, this warning can be suppressed, and the future behavior ensured, by passing a unique label to each axes instance.\\n\",\"/usr/local/lib/python3.6/dist-packages/ipykernel_launcher.py:33: MatplotlibDeprecationWarning: Adding an axes using the same arguments as a previous axes currently reuses the earlier instance.  In a future version, a new instance will always be created and returned.  Meanwhile, this warning can be suppressed, and the future behavior ensured, by passing a unique label to each axes instance.\\n\",\"/usr/local/lib/python3.6/dist-packages/ipykernel_launcher.py:36: MatplotlibDeprecationWarning: Adding an axes using the same arguments as a previous axes currently reuses the earlier instance.  In a future version, a new instance will always be created and returned.  Meanwhile, this warning can be suppressed, and the future behavior ensured, by passing a unique label to each axes instance.\\n\",\"/usr/local/lib/python3.6/dist-packages/ipykernel_launcher.py:40: MatplotlibDeprecationWarning: Adding an axes using the same arguments as a previous axes currently reuses the earlier instance.  In a future version, a new instance will always be created and returned.  Meanwhile, this warning can be suppressed, and the future behavior ensured, by passing a unique label to each axes instance.\\n\"],\"name\":\"stderr\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"iVBORw0KGgoAAAANSUhEUgAAA3AAAANsCAYAAAAa/ko3AAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+WH4yJAAAgAElEQVR4nOzdeXxU9b34/9dnksGEABNkkbAoeK8LsiiCYAUVoQVsSl0vrVW7+sO2WgNaFGuL0bbKFb+F2Optrba1iy1U0WsarVopKqhVNllErxWwQkKBQMKWQCb5/P6YJWfOnDWzZJK8n4+HD8mZM2c+58wQznve78/7o7TWCCGEEEIIIYTIfYH2HoAQQgghhBBCCG8kgBNCCCGEEEKIDkICOCGEEEIIIYToICSAE0IIIYQQQogOQgI4IYQQQgghhOggJIATQgghhBBCiA5CAjghhBCdhlLqBaXUV9K9r88xTFZK7Uz3cYUQQgiA/PYegBBCiK5NKXXY8GN34BjQHP35Rq31H7weS2t9aSb2FUIIIXKFBHBCCCHalda6R+zPSqkdwA1a67+Z91NK5Wutw9kcmxBCCJFrpIRSCCFEToqVIiql7lBK7QZ+rZTqrZT6i1Jqr1LqQPTPgw3PWamUuiH6568qpVYppR6M7rtdKXVpG/cdppR6TSl1SCn1N6XUw0qp33s8j+HR16pTSm1RSn3e8NhnlVLvRY+7Syn13ej2vtFzq1NK7VdKva6Ukn+zhRBCSAAnhBAipw0ATgROAWYT+Xfr19GfTwYagJ85PH8C8AHQF3gAeFwppdqw75PA20AfoBy43svglVJBoBJ4CegPfAf4g1LqjOgujxMpE+0JjARWRLffBuwE+gEnAd8DtJfXFEII0blJACeEECKXtQB3a62Paa0btNa1WuuntdZHtdaHgB8DFzs8/2Ot9S+11s3AE0AJkYDI875KqZOB84AFWuvjWutVwHMex38+0ANYGH3uCuAvwDXRx5uAs5RSvbTWB7TW6wzbS4BTtNZNWuvXtdYSwAkhhJAATgghRE7bq7VujP2glOqulPqFUupjpdRB4DWgWCmVZ/P83bE/aK2PRv/Yw+e+A4H9hm0An3gc/0DgE611i2Hbx8Cg6J+vAj4LfKyUelUp9ano9kXAP4GXlFLblFLzPb6eEEKITk4COCGEELnMnHW6DTgDmKC17gVcFN1uVxaZDjXAiUqp7oZtQzw+txoYYpq/djKwC0Br/Y7W+jIi5ZXPAsui2w9prW/TWp8KfB64VSk1NcXzEEII0QlIACeEEKIj6Ulk3ludUupE4O5Mv6DW+mNgDVCulOoWzZLN9Pj0fwBHgduVUkGl1OToc/8UPda1SqmQ1roJOEikZBSl1OeUUv8ZnYNXT2RZhRbrlxBCCNGVSAAnhBCiI1kCFAL7gLeAv2bpda8FPgXUAj8ClhJZr86R1vo4kYDtUiJjfgT4stb6/egu1wM7ouWg34y+DsBpwN+Aw8CbwCNa67+n7WyEEEJ0WErmRAshhBD+KKWWAu9rrTOeARRCCCGMJAMnhBBCuFBKnaeU+g+lVEApNQO4jMicNSGEECKr8tt7AEIIIUQHMABYTmQduJ3At7TW69t3SEIIIboiKaEUQgghhBBCiA5CSiiFEEIIIYQQooPIyRLKvn376qFDh7b3MIQQQgghhBCiXaxdu3af1rqfeXtOBnBDhw5lzZo17T0MIYQQQgghhGgXSqmPrbZLCaUQQgghhBBCdBASwAkhhBBCCCFEByEBnBBCCCGEEEJ0EDk5B04I0Xk0NTWxc+dOGhsb23soQgjRaRUUFDB48GCCwWB7D0UIkWESwAkhMmrnzp307NmToUOHopRq7+EIIUSno7WmtraWnTt3MmzYsPYejhAiw6SEUgiRUY2NjfTp00eCNyGEyBClFH369JFKByG6CAngvNi4DBaPhPLiyP83LmvvEQnRoUjwJoQQmSW/Z4XoOqSE0s3GZVB5CzQ1RH6u/yTyM8DoWe03LiGEEEIIIUSXIxk4N6/c2xq8xTQ1RLYLITq9oUOHsm/fvvYehhBZ8Zvf/Iabb765vYchhBDCgQRwbup3+tsuhEjJs+t3MXHhCobNr2LiwhU8u35Xew+pfeRY6XZHDGQ3bNjA888/397DaLOqbVVMe2oao58YzbSnplG1raq9h5TT6isr+XDKVLYOP4sPp0ylvrIyrcfXWtPS0pLWY5o1Nzdn9PhCiM5BAjg3ocH+tgsh2uzZ9bu4c/kmdtU1oIFddQ3cuXxTykHckSNHKC0t5eyzz2bkyJEsXbqU559/njPPPJOxY8dyyy238LnPfQ6A2tpapk2bxogRI7jhhhvQWqfhzHyKlW7XfwLo1tJtmX/rS0cO4Kq2VVH+Rjk1R2rQaGqO1FD+RnnKQdzll1/O2LFjGTFiBI8++igAv/71rzn99NMZP348q1evju9bWVnJhAkTGDNmDJ/+9Kf597//DUB5eTlf+cpXuPDCCznllFNYvnw5t99+O6NGjWLGjBk0NTWlNMa2qK+spOYHCwhXV4PWhKurqfnBgpSDuB07dnDGGWfw5S9/mR49evAf//EffPWrX+X000/n2muv5W9/+xsTJ07ktNNO4+233wbg1Vdf5ZxzzuGcc85hzJgxHDp0iJUrV3LRRRdRWlrKGWecwTe/+c14MNijRw9uu+02zj77bN58801+8pOfMHLkSEaOHMmSJUvi4zjzzDO59tprGT58OFdffTVHjx5N7aIJITosCeDcTF0AwcLEbcHCyHYhRFotevEDGpoSv4FuaGpm0YsfpHTcv/71rwwcOJB3332XzZs3M2PGDG688UZeeOEF1q5dy969e+P73nPPPUyaNIktW7ZwxRVX8K9//Sul126TDJVuZyqQjd1cut3Y7t+/n8svv5zRo0dz/vnns3HjRsB7QLB27Vouvvhixo4dy/Tp06mpqQFg8uTJ3HHHHYwfP57TTz+d119/nePHj7NgwQKWLl3KOeecw9KlSykvL+fBBx+Mj3vkyJHs2LHD8/izqWJdBY3NiR0FG5sbqVhXkdJxf/WrX7F27VrWrFnDQw89xK5du7j77rtZvXo1q1at4r333ovvO2nSJN566y3Wr1/PF7/4RR544IH4Yx999BErVqzgueee47rrruOSSy5h06ZNFBYWUlWV/UzhnsVL0KYOjLqxkT2Ll6R87A8//JBvf/vbbNmyhU8++YTbbruN999/n/fff58nn3ySVatW8eCDD3LfffcB8OCDD/Lwww+zYcMGXn/9dQoLI/cQb7/9Nj/96U957733+Oijj1i+fDkQ+Xs5YcIE3n33XQoLC/n1r3/NP/7xD9566y1++ctfsn79egA++OADvv3tb7N161Z69erFI488kvK5CSE6Jgng3IyeBTMfgtAQQEX+P/MhaWAiRAZU1zX42u7VqFGjePnll7njjjt4/fXX2b59O6eeemp8vaRrrrkmvu9rr73GddddB0BpaSm9e/dO6bXbJEOl25kMZP/5z3+63tjefffdjBkzho0bN3Lffffx5S9/Of58t4CgqamJ73znOzz11FOsXbuWr3/969x1113x54fDYd5++22WLFnCPffcQ7du3bj33nv5whe+wIYNG/jCF76Q8vizafeR3b62e/XQQw9x9tlnc/755/PJJ5/wu9/9jsmTJ9OvXz+6deuWcJ127tzJ9OnTGTVqFIsWLWLLli3xxy699FKCwSCjRo2iubmZGTNmAJG/azt27EhpjG0RjgbzXrf7ccopp3D++ecDMGzYMEaNGkUgEGDEiBFMnToVpVTCeU+cOJFbb72Vhx56iLq6OvLzI/3ixo8fz6mnnkpeXh7XXHMNq1atAiAvL4+rrroKgFWrVnHFFVdQVFREjx49uPLKK3n99dcBGDJkCBMnTgTguuuuiz9fCNH1SADnxehZMHczlNdF/i/BmxAZMbC40Nd2r04//XTWrVvHqFGj+P73v89zzz2X0vEyLkOl25kMZL3c2K5atYrrr78egClTplBbW8vBgwcB94Dggw8+YPPmzXzmM5/hnHPO4Uc/+hE7d7YGtFdeeSUAY8eObVMA4WX82TSgaICv7V6sXLmSv/3tb7z55pu8++67jBkzhjPPPNN2/+985zvcfPPNbNq0iV/84hcJa4ydcMIJAAQCAYLBYLyFfSAQIBwOt3mMbZVfUuJrux9FRUXxP8fOGyLnarwOsfOeP38+jz32GA0NDUycOJH3338fSG7zH/u5oKCAvLw813HYPV8I0fVIACeEyBnzpp9BYTDxRqYwmMe86WekdNzq6mq6d+/Oddddx7x581i9ejXbtm2L35gvXbo0vu9FF13Ek08+CcALL7zAgQMHUnrtNslQ6XYmA1kvN7Zenm8XEGitGTFiBBs2bGDDhg1s2rSJl156Ken5eXl5tq+Xn5+f0ITCKiBp6/jTrezcMgryChK2FeQVUHZuWZuPWV9fT+/evenevTvvv/8+b731Fg0NDbz66qvU1tbS1NTEn//854T9Bw0aBMATTzzR5tfNhv5z56AKEq+XKiig/9w5WR/LRx99xKhRo7jjjjs477zz4gHc22+/zfbt22lpaWHp0qVMmjQp6bkXXnghzz77LEePHuXIkSM888wzXHjhhQD861//4s033wTgySeftHy+EKJrkABOCJEzLh8ziPuvHMWg4kIUMKi4kPuvHMXlYwaldNxNmzYxfvx4zjnnHO655x5+/OMf88gjjzBjxgzGjh1Lz549CYVCQKTM77XXXmPEiBEsX76ck08+OQ1n5lOGSrfbO5C98MIL+cMf/gBEskF9+/alV69enp57xhlnsHfv3vgNbFNTU0JJn5WePXty6NCh+M9Dhw5l3bp1AKxbt47t27e35TSyovTUUsovKKekqASFoqSohPILyik9tbTNx5wxYwbhcJjhw4czf/58zj//fEpKSigvL+dTn/oUEydOZPjw4fH9y8vL+a//+i/Gjh1L375903FaGROaOZOSH95L/sCBoBT5AwdS8sN7Cc2cmfWxLFmyhJEjRzJ69GiCwSCXXnopAOeddx4333wzw4cPZ9iwYVxxxRVJzz333HP56le/yvjx45kwYQI33HADY8aMASJ/Bx5++GGGDx/OgQMH+Na3vpXV8xJC5A5ZyFsIkVMuHzMo5YDNbPr06UyfPj1h2+HDh3n//ffRWnPTTTcxbtw4APr06ZOQ2Wk3o2elvVx706ZNzJs3L57l+p//+R9qamqYMWMGRUVFnHfeefF97777bq655hpGjBjBBRdckJZAtry8nK9//euMHj2a7t27+8rqdOvWjaeeeopbbrmF+vp6wuEwc+bMYcSIEbbPueSSS1i4cCHnnHMOd955J1dddRW//e1vGTFiBBMmTOD0009P+ZwyqfTU0pQCNrMTTjiBF154IWn75MmT+drXvpa0/bLLLuOyyy5L2l5eXp7w8+HDh20fy6bQzJlpD9iGDh3K5s2bk/4MkTXzrPb76U9/anmsXr168Ze//CVpu/H6Adx6663ceuutSfvl5+fz+9//3vc5CCE6H9UuLbJdjBs3Tq9Zs6a9hyGESIOtW7cmfKufKxYvXswTTzzB8ePHGTNmDL/85S/p3r17ew8r6w4fPkyPHj3igexpp53G3Llz23tYQnQqK1eu5MEHH7QM4LzYsWMHn/vc5xICSCu5+vtWCNE2Sqm1WutxSdslgBNCZJLcUOQ2CWSF6Dzk960QnYtdACcllEII0YXNnTvXc8attraWqVOnJm1/5ZVX6NOnT7qHJoQQQggLrgGcUmoI8FvgJEADj2qtK0z7zAOuNRxzONBPa71fKbUDOAQ0A2GrKFII0blpraXldSfQp08fNmzY0N7DEEJYyMWKKiFEZnjJwIWB27TW65RSPYG1SqmXtdbvxXbQWi8CFgEopWYCc7XW+w3HuERrvS+dAxdCdAwFBQXU1tbSp08fCeKEECIDtNbU1tZSYFpKQQjRObkGcFrrGqAm+udDSqmtwCDgPZunXAP8MW0jFEJ0aIMHD2bnzp3s3bu3vYcihBCdVkFBAYMHD27vYQghssDXHDil1FBgDPAPm8e7AzOAmw2bNfCSUkoDv9BaP2rz3NnAbKB91l0SQmREMBhk2LBh7T0MIYQQQohOwfNC3kqpHsDTwByt9UGb3WYCq03lk5O01ucClwI3KaUusnqi1vpRrfU4rfW4fv36eR2WEEIIIYQQQnQZngI4pVSQSPD2B631coddv4ipfFJrvSv6/z3AM8D4tg1VCCGEEEIIIbo21wBORboOPA5s1Vr/xGG/EHAx8L+GbUXRxicopYqAaYDzKpRCCCGEEEIIISx5mQM3Ebge2KSUivWP/h5wMoDW+ufRbVcAL2mtjxieexLwTLTzXD7wpNb6r+kYuBBCCCGEEEJ0NV66UK4CXHt/a61/A/zGtG0bcHYbx5YzqrZVUbGugt1HdjOgaABl55ZRemppew9LCCGEEEII0cX46kLZFVVtq6L8jXIamxsBqDlSQ/kb5QASxAkhhBBCCCGyynMXyq6qYl1FPHiLaWxupGJdRTuNSAghhBBCCNFVSQDnYveR3b62CyGEEEIIIUSmSADnYkDRAF/bhRBCCCGEECJTJIBzUXZuGQV5BQnbCvIKKDu3rJ1GJIQQQgghhOiqpImJi1ijEulCKYQQQgghhGhvEsB5UHpqqQRsQgghhBBCiHYnJZRCCCGEEEII0UFIACeEEEIIIYQQHYQEcEIIIYQQQgjRQUgA50F9ZSUfTpnK1uFn8eGUqdRXVrb3kIQQQgghhBBdkDQxcVFfWUnNDxagGxsBCFdXU/ODBQCEZs5sz6EJIYQQQgghuhjJwLnYs3hJPHiL0Y2N7Fm8pJ1GJIQQQgghhOiqJIBzEa6p8bVdCCGEEEIIITJFAjgX+SUlvrYLIYQQQgghRKZIAOei/9w5qIKChG2qoID+c+d4O8DGZbB4JJQXR/6/cVkGRimEEEIIIYToCqSJiYtYo5I9i5cQrqkhv6SE/nPneGtgsnEZVN4CTQ2Rn+s/ifwMMHpWhkYshBBCCCGE6KyU1rq9x5Bk3Lhxes2aNe09jNQtHhkJ2sxCQ2Du5uyPRwghhBBCCNEhKKXWaq3HmbdLCWUm1e/0t10IIYQQQgghHEgAl0mhwf62CyGEEEIIIYQDCeAyaeoCCBYmbgsWRrYLIYQQQgghhE+uAZxSaohS6u9KqfeUUluUUmUW+0xWStUrpTZE/1tgeGyGUuoDpdQ/lVLz030COW30LJj5UGTOGyry/5kPSQMTIYQQQgghRJt46UIZBm7TWq9TSvUE1iqlXtZav2fa73Wt9eeMG5RSecDDwGeAncA7SqnnLJ7beY2eJQGbEEIIIYQQIi1cM3Ba6xqt9bronw8BW4FBHo8/Hvin1nqb1vo48CfgsrYOVgghhBBCCCG6Ml9z4JRSQ4ExwD8sHv6UUupdpdQLSqkR0W2DAGMf/Z3YBH9KqdlKqTVKqTV79+71MywhhBBCCCGE6BI8L+StlOoBPA3M0VofND28DjhFa31YKfVZ4FngND8D0Vo/CjwKkXXg/Dw3055dv4tFL35AdV0DX+nxNrcHl9K9YXekm+TUBVIiKYQQQgghhMgKTxk4pVSQSPD2B631cvPjWuuDWuvD0T8/DwSVUn2BXcAQw66Do9s6jGfX7+LO5ZvYVdfAzMAqbm96hO4NNYCOLNJdeQtsXNbewxRCCCGEEEJ0AV66UCrgcWCr1vonNvsMiO6HUmp89Li1wDvAaUqpYUqpbsAXgefSNfhsWPTiBzQ0NQNwe/4yuqvjiTs0NcAr97bDyIQQQgghhBBdjZcSyonA9cAmpdSG6LbvAScDaK1/DlwNfEspFQYagC9qrTUQVkrdDLwI5AG/0lpvSfM5ZFR1XUP8zwPVPuud6ndmaTRCCCGEEEKIrsw1gNNarwKUyz4/A35m89jzwPNtGl0OGFhcyK5oEFet+zLYIojbTV8+Nb+KgcWFzJt+BpeP8dqkUwghhBBCCCG889WFsiuaN/0MCoN5ADwQnsVR3S3h8b07evCv/+3FX579Lj9eehfPL/41z653mOa3cRksHgnlxZH/y/w5IYQQQgghhEeeu1B2VbFs2qIXP6CybhKHQ7v5JPQO/86DSzc286V3AvRsjmToTmqo41trl/G7R/K5/Jfzkw+2cVmk6UlTtCwz1gQFpJOlEEIIIYQQwpVk4Dy4fMwgVs+fws9mw6b+m9mdr9BKUboKujW3JOxb0NzE59f8r/WBXrm3NXiLkSYoQgghhBBCCI8kgPOhYl0Fjc2N8Z/7mFfDi+rfUGf9gF2zE2mCIoQQQgghhPBASih9qDmyO+Hn2l7QzyKIC/ftb32A0OBI2aTVdgvGBcSlQYoQQgghhBBCMnA+qHBxws9PTlY0mkLglm4ncMod37U+wNQFECxM3BYsjGw3MS4groFddQ3cuXyTc4MUIYQQQgghRKcmAZwPDf+ehm4Jxn9ePSKPX8wIsqeoOyhF/sCBDP7xDwnNnGl9gNGzYOZDEBoCqMj/Zz5k2cDEuIB4/PWbmln04gfpPCUhhBBCCCFEByIllD70D1zAmau38+V336LvoRb29Qzw27PP53v/dS2r508BomWPC1fYlj0+2zyRRcceorqxgYEFhcxrPoPLLV7LuIC4l+1CCCGEEEKIzk8COB/uLdrJiW++Q0G082T/Qy3c/OY77D/7YqC17DGWOYuVPUKkk6Xb40bGBcTN23ONzNUTQgghhBAiO6SE0oeTn3mCguamhG0FzU2c/MwTgHvZo93jty17l2Hzq5i4cEV8jptxAfGYwmAe86afkdZzSpXM1RNCCCGEECJ7JAPnQ7imxnF7dV0Dnw+s4vb8ZQxU+6jWfXkgPIvKuknxx600aw1YZ+RyPbPlFLTm2liFEEIIIYTo6CSA8yG/pIRwdXXy9iIN5cWsL+hBd91ANxUGYLDax8LgYwTCimHzIaBUPFizYwx+Yv+lQ6bKHGWunhBCCCGEENkjJZQ+9J87B1VQkLBN5Wn6jzwAaIo5FA/eYrqr43w3bykaXIO3mHQHP5ksc7Sbk5eLc/WEEEIIIYTo6CSA8yE0cyYlP7yX/IEDI8sG9ICS8+oIDXUOuAaq2oSf85RCRf9vuX+ag59MLknQUebqCSGEEEII0RlICaVPoZkzW9d5Ky8G3LNq1bpPws8tWrN9YWlSV0oARSRDNnHhiuQlCNpYBpnJMsf2nqsnHTCFEEIIIURXIgFcKkKDof4Tx12O6m48EE5cqDuWYTMGP7vqGlC0hoOpLEFgluklCdI5V8+PVK6JsCYBsRBCCCFEbpMSylRMXQBBUxAUCELhiYDiaGEJC/RsnmuZFH/YXF54+ZhBrJ4/hUHFhUm5PC9LEHgpg/RS5vjs+l1MXLgiaTmDXJbJ0tCuSJaEEEIIIYTIfZKBS8XoaGbtlXuhfmckIzd1QXx7d2DS+l28achoTBu/i0c++hoLNu5mQNEAys4to/TUUtcyx1TKIK3KHC85sx+LXvyAuUs3ECoMcuR4mKZm++UM/MhWFsfu3HfVNTBsfpVkkHySJSGEEEIIIXKfBHCpGj2rNZCzYCwvrNpWRfkbD9HY3AhAzZEayt8oB9zLHO0eDyjlKVgxjsNceljX0JS0f1tv3LNZ1mh3TYCEDFImXrszkiUhhBBCCCFyn5RQZlHFuop48BbT2NxIxco7WNV4JatPuIXPB1bFHzOWOVqVQUJkaQK/5W5WmRYrbblxz2ZZo901ycZrd0ayJIQQQgghRO5zDeCUUkOUUn9XSr2nlNqilCqz2OdapdRGpdQmpdQbSqmzDY/tiG7foJRak+4T6Eh2H9ltvT0ACs0gtY//7vY4lwVWMai4kPuvHBXPHF0+ZhD3XzmKQcWFtksQeA1WvAZmxht3r3Pk3Moa/c6vc3pd8zWxIxkkb2RJCCGEEEKI3Ke0y+LSSqkSoERrvU4p1RNYC1yutX7PsM8FwFat9QGl1KVAudZ6QvSxHcA4rfU+r4MaN26cXrOmY8R6VduqqFhXwe4jiXParEx7aho1R2qStpc0hXlpZ3XrhtAQmLvZ8XWHza+yXcBAgWNJ5cSFK2xLD2OCAUWPgnzqjjYlzZGDyI29McBs67HN4zTOn/Pzuk6vPai4kNXzpziOyfzaXXX+nFwDIYQQQojcoJRaq7Uel7TdLYCzOND/Aj/TWr9s83hvYLPWelD05x100gAuMqetPKEssiCvgPILyi2DOMv9W1oo37ef0iNHDXsqKK9zfG0vgZJdsGO1/pxbwGbFKjCyOrab2DgBT8/NU4oWrS2DP/PznQI+t3F7fa4QQgghhBDplpYATik1FHgNGKm1Pmizz3eBM7XWN0R/3g4cINJX4hda60dtnjcbmA1w8sknj/344489j6u92GbUikp46eqXgOQM3UWDL+K1na9Ffm5uoay21hS84SkD5zVQcgp27DItXoJDiGT6ti9MDlSNx/b66cpTimafXyZAcpDV1gxSqtk7IYQQQggh0inlAE4p1QN4Ffix1nq5zT6XAI8Ak7TWtdFtg7TWu5RS/YGXge9orV9zeq2OkoEb/cRotEWIolBs/MpGqrZV8eKjd3H1imP0OQi1veCpKScwffaPIxm6jcug8hZoMgQOwUKY+ZBjZ8sYv4GS14ySU3mm2SCXIMlrMJiKdARZdudsF6QKIYQQQgiRSXYBnKculEqpIPA08AeH4G008BhwWSx4A9Ba74r+fw/wDDDe//Bz04CiAUnbJm5p5mcPN7HlzOH0vfK73FB5jH4HIxe630H42l+OsepX90V2Hj0rEqyFhgAqsgB4fiEsnw2LR0YCPAeX561m9Qm3sL3gWt4qKEvoYGnFa5MTP10H3bpfeukUmSqnJiVem69IB0YhhBBCCNEReOlCqYDHiTQp+YnNPicDy4Hrtdb/Z9heFG18glKqCJgGONcGdiBl55ZRkFcQ/3nilmZufF7HA7ZejRA0VTgWhOHSl/a3bhg9K1IueeWjEG6Ahv2AhvpPItk5uyAulr2r/wTQDGAv/x18zDWI89KR0SroCgYUvbsHLfd3CgzNnSKLC4ME85x6RiaKva5d502wD7JiZaa7ohlKp8xdV0IAACAASURBVGBTOjAKIYQQQoiOwMtC3hOB64FNSqkN0W3fA04G0Fr/HFgA9AEeicR7hKPpvpOAZ6Lb8oEntdZ/TesZtKNYo5LYHLcvrdQUhN2f19dq9uAr9yaWUkLk52e+GcnIhQbD1AWtpZUW+xeq43yv25+pbJxEwGZOmW1GaeOyyDHrd3J5aDCDzvsOc947LWkumV2poVNgaFxEHBJLP+3GCcnlmXaNRuyCLKc16cwln7Gf29qBUbo3CiGEEEKIbHAN4LTWq8BxmS2iDUtusNi+DTg7+RmdR+mppfFAbsv9wz09J9y/OP7n+spK9ixeQrg6jAqeREBB8/EA+d2b2XXeMe47r4jd+XkMCDdT9rd5lEIkiKvfaXnsAexj+8JSf8GOeS5e/Sect+luVlvMxRtYXGg5p81PqaExoPPT/dFvkGUXVMa2WwVdTnPp7II08znEMn3GMUuAJ4QQQggh0sH3MgLZ0FGamJitnjCSE+udu0K25AUI9uxFc309KhSCI0fQTU2W+x7Lh59/VrF6RKS0r6ClhfKjitKbNkfmyNV/kvwkQwdLz0GDh2PFZKLdfqaCG6fOkvOmn+HrPJzOe9GLHzh2sHRbtiHdAZ35el5yZj/+/v5eCR6FEEIIITqQtK0Dlw0dNYBb+fi9FC/5IycY4rGmAAR6dCfvUINrwGZlby+46abWRGlJU5iXbtiacgfLBOXFYNeD0WI9uo6STbIKnBSRM7VbtsCuo6VTMGjXBTTWwTKVNfv88rK8hKxvJ4QQQgiR++wCOC9z4IRHk7+xgJVA8NFlFNc3UxfKo2n2LCZ/YwEAH06ZSrjOeYFusz6m+XK786ONNoxz4ep3Js+R8yM02CYDN9hyd/OctlxlLLncVdcQD94A23l3bmWXZrvqGmyDwVhZqZfGMXZz8/yymvdn9Vpzlm5g0YsfZDT47iiBfnuSbKk/8pkSQgghJIBLu8nfWADRgM0sXJO86Leb2l6tf564pZnrX1Vs/e+zyC8pof/cOYRcFvyOMzQpSQr2pi6wzuZNtT6PjiQWbHpdj85pOQG751sFb8b5hk7PNfIS6KXzGLvqGpj353e5p3JL2ks5vcwL7OqsrtHv3/pX/HG5ZonkMyWEEEJEeFoHTqRHfkmJr/2P5cOTkyP9YyZuaeabz2tOrG8BrQlXV1PzgwXUV1a6H8i05EDSEgXm9ehCQ+DsL0UCvvJi1zXpqrZVMe2paYx+YjTTnppG1bYqX+eZDV4CG6eOll7Ws8tTCkWkrNJYouh1LbyAUq7r1UHy2nbff3ZT/OeAzVILdppaNAeONrkus+CXUwdQEeE1WyrXLEI+U0IIIUSEZOCyqP/cOdT8YAG6sTG+7biCxgLo0QCHCwAFPRsgOHAg/772YraFVqGO7Ob6VwOcEE68edGNjexZvITQzJnOL/zKvdR/CHs29id8NI/87s30H32I0Cv3tmbhRs9q/bNFV0oqb2ndz6BqWxXlb5TT2Bw5p5ojNZS/UQ60LrOQC+yyYHlK0aK1a/bJXI5ppUVrti+MnHMsyIqVel01dlC8NC5UGOTI8TBNzYmZu1gmzymz4Ja1sSsN9cpPKadTOZvfUtSuyOu1kGsWIZ8pIYQQIkICuCyKBVp7Fi8hXFNDU78Qj1/QwN+HtwZmBXkFlF9QTumppfSvrOThxa8SrgmDzY15uLqarcMNJZUWwVz9u/uoeSeEbo4kXMNH86l5JwTsI2R1ULs16YwBX1TFugrGbjzCl1Zq+hyMlHw+OfkIFQUVORXA+e06CfbLDNiVY8bKL62CrKfX7kp4Lbe18OwCKS9ZG0gMTGPzqryUcYLzDXFs3OY5heagMx3LTXQEqczJ8lpa6/Wadfb5YV3lMyWEEEK4kQAuy0IzZyYEWdO3VfF+dCHwXt16oZTiztfvZNWv7uO6ykMEjnnoWGkoqYy9htGezb3Rpnt+3Rxgz+be1gGczRpzVtv/4+1dzH6+dQHzfgfhxuc1j7ILrnYfum9Oc/kc+F1Dzmm+jV0wGCu/9LKAuLERzLD51iWnVoGU12yDMRtod0527G6Izc83f6VgPEe3a9QZpDony+oamXm9Zl1hflhH/kx19uBaCCFEdkkA185iC4GbSxEvfWk/gWP+jmVXUhk+Yr2/3XY/XSmve1XFg7eYgnBke0zVtioqokHqgKIBlJ1b1rbsnI/STit+umc6BWGxZQbSVT7olllwy9bZHdPMHMRalXI63RB7yf7FztFvwAwd7ybXS6DuxOoatbULZapj6Qja8pnKBV0huBZtk6u/83J1XEKIVhLA5YiKdRXx4A2Slw+I0dH/VPQ/M6tOl/klAwlXV1tut+SjK2Xvg9Y39LHtKc+RM2bcVICkVKJNaWeq3IIwp2DQb6mXVWZBEbnRO+eelxKCLC/Bm1MQZh632z/Uxse9zK4znqNbwGw8tjmYzOWbXGMZqRU/c7LStSRHV5kf1lGWMDHqCsF1R5MLAUp7B/Z216C9xyWE8Ea6UOaI3Ud2J/xsXD7AaF8v+OKd+eyzeTy/SCd1juw/dw6qoCBhP1VQQP+5c6wPYtWV0maB8KBNEBjbbg5MARqbG6lYV2H92kbm7pnm4C3GruQzBU7LCbix6jrpFlTdf+UoBkWPbZxbVtfQlNTsBBI7Xl53/skMKi607IDp5vIxg1g9fwrbF5ayev6UpODtzuWb2OUxePNTzmY+ttV5GjsMmjtvpqNTZlsYx22nPeZkpfJ5FZnVVYLrjsL8uyed3Xf9aM+uqk7XQLq9CtExSAYuRwwoGkDNkdbs2ZOTFTca5pYBNBqWFbB6/Fg+/HvsEU4zLhUAhGZGAq9Y8xSnhidxxq6UDvrPnUPNXXehj7fO1VPdgvHg0ByYxthtd824WVGBSNCaymLmJqnMt2lLqZff9eqs5rilm5eSyViwOSha/rfoxQ+Yu3SD6zl7bcZSXdeQU98Iu427veZkdeT5YZ2dNF/JLbmSEW3PwN7pGsgXDkJ0DBLA5Yiyc8sSSg1Xj8ijWyCPG94oJLi3nv29Avzu4hZWj8iLPw7Npu6Pim2nFzF5Z33koIbyQnPzlHQJndIA5x1gz/qC1iUKzj5I6L1bYO31DDh5MDV5ycWeA4oGJB/MPMfNS/Bm3M/nnDgnqc63aWupl9d/JLNx8+c0FhUdQ1vLbvycZ7ZvuNqyPAJEgthslmKZx2lcqkLmreQOCa5zS64EKO0Z2DtdA/nCQYiOQQK4HBGbD2Zs9jF9dhmjo1mWqm1VrH2jHAzliKtH5LF6ROJxlHmOlMfywjY3GnnlXkJDDhIaYpq0F/39X1ZbS3nfPjQGWoO4grwCys4tszxW0vIFVlQe6JaMz4lrj/k2XlrLZ+vmz24sg4oL441cYrwEWX6bscTOc+7SDZaPZ+KGyy0Q9XNN7I6fjrk3XpaqyNRrC386avOVzipXApT2DOydroF84SBEx6B0igv/ZsK4ceP0mjVr2nsYOccYZCmlaNEtSfuUNIV5aWekYcnKmhDB9UUUH4S6UB5Ns2cx+RvJjUjMjUYgcT0682snBHjlxSQ3lDcdv6g7FX36sDsv4BwcejlWr2IqBgxhd9NBBjQ1UXagjtIjR017KSivczxOrrJq9R8MKHoU5FN3tCmrN39WY7FbO2/Y/CrLd04B2xeWelrCwO487cpKjUFTuoITu9eKratn17nTy7xDP9ezreO0CyStXttY/tpVAgoJYkU6/x6mYyzt8Xl0uwby90SI3KGUWqu1Hpe0XQK4jskq6Mpv0fTQLdQHAnx6UzNffhFOMM6RC0LdnGuSgrhpT01LmH8XU1JUwktXv2Qd4GlN+d79lB5t9Fjq6CGoWjzSevmCaMatqt9gynt2o1G3zrcraGmhfN/+xCAuNATmbvYwptyUS/94eh2LW0DhFhg5HdvLzYafGzKnc7ILRI3aGlD7DbqcuAXM4C/j2V43sNmUSzfuon3l0u/Y9iLXQIiOQQK4TsiYFevVrRdHmw7TFA2mHn44TD+LpQj2h/KY+I/E4Gb0E6PRFreDCsXGr2y0D/AM2T5XXoIq8xw4iCxfEO2AaTWOiVuauX6l5sSDOjL/bkwjobL/l/ZlBYQzt5tjLwGH2/Htbjb8BIduGU6v6+w5Zbr8Boder4GRWzDoddF2q+e6nUdHlc4AWgghhMgGuwBO5sB1YLFFwCGSRas/Xh9/zG4dueL65Bu6AUUDOPXtnckNUcZHFu627SSZb2iVH5uXVtgbjh+G5uOtj9msIZckFnTFulCaukqaxzFxS7OhE6cifDSfmnd6w8eFhEa7v5xIH7d5PqnOO3Gaj2g3Fy4WiBnnsVnN1Wtq0Rw42pTwHDdWr9nW+XNtmXvjNk/Fa5dPo9g5ZbvrZ7aCxVxpXpFLOmOgLoQQXYEEcJ2E1TpyVhm42l6RYK+s7wRK1z8D9Tv53v6BFK/Q8XLLfgfhmy9o6s6YBCQvcRAzIGy4QdQtrSWSxqUA/Lb2d1i+wDyOL61MXEYBQB9vYs/iJRnpuCmcOQVZmZwY76Xxi1uLbLNY9s4uI2cVdLk1ckn1GvjpOtmWoCR2Tn67fqYSBGQzWMyV5hW5IpeW5xDuJNgWQhjJQt6dhLkt/5OTFY2m8Dy2jlzNkRrKtz9DVbgW0Axa1ZQwVw7ghCY46SfL2Dr8LB586BCXbE1cmLqgpYWyA4Y5baHBrX8ePStSLlleF/m/W/C2cVlk/ptpAXKzsnPLKMhrXZDcLssYrkkONtPC4zhFMuNi5W1ZcNyJ1cLpVmI3Pl7E1tn7f7PO9rwou1uGJ5VrYLXw7tNrdzFv+hmWi7DbnWeeinSDNS/sYTwnP5mqVBdFTveiwU4Lvlt9Ttqru14uLEwvCzanRzbey1xZfFwIkTskA9dJlJ1bxouP3sXVK47FyyBfHQnjtkFvQ1lkbB25xoCioncxpUeOEj5qc/PbHPnHPbinjhufz6Mo3ELVyAADws2J3R9NJZK+liQwz3tzWMvNvNRCXSiPEy1KQvNLSrxcMn98jFNYy9SyDObyTaesmVUWzEosAPLTAt5LhsfPNXBrQuKUFbPL9nnpMucnU5XqGn3pLGt0yyjlSjv/XMl8SUlp6rL1XubK4uNCiNzhGsAppYYAvwVOItJ1+lGtdYVpHwVUAJ8FjgJf1Vqviz72FeD70V1/pLV+In3DFzGTtrQw9IUWAsciP/c7CJ/ZpBl8Xh0XTu6LVonfuU/c0syXVsLWgyWt/cQdBI438/UVYe7vsSe6JXq80JCEEklzx8qaIzWUv1EOYB3EWa395rCWm3HeX/2JldT8YAG6sbU7pioooP/cOc4n0xYu46yvrGTP4iWEa2rILymh/9w5zmWcqZSZCssAxNiAw65U0XwTb7csgDEr4zXoSmeZqPkc7Obm2d1suwUr6Sp3tXv9XXUNDJtf5RokpbOs0ctNbnus7WiWKzfjUlKaumy9lxJsCyHMvGTgwsBtWut1SqmewFql1Mta6/cM+1wKnBb9bwLwP8AEpdSJwN3AOCIhwlql1HNa6wNpPQvBnsVLCBxrStgWaFbs2diTAZOaqQm2vtXm5h+R4E2TXFiVKJapqyrqTkXvYnbn5zGgx0DKehQRC80q1lUkLDcA0NjcSMW6CusAzm6hcQ8LkMcCJF+Bk/El/ARdDuOsr0wMJMPV1dT8YEHCGBNINs+VU4Yo1UyL+SY+XXNL0pnh8dqExOlmu63BSjqyjkBCqZfxuEbpDHpTvcntKM1U0jVOWbA5ddkKrCTYFkKYuQZwWusaoCb650NKqa3AIMAYwF0G/FZH1iR4SylVrJQqASYDL2ut9wMopV4GZgB/TOtZCNt5X+GjeZQdqKO874k0BiJTHq2af4CCQDSYCwTi5ZNG+d2bqSrqnnAsc4bNtmOlcbsx+6QC1uvIGefUGVgFXaeteMVyXye+g67QYOs16kKD2bN4SUIWEEA3Nto3U3nlXuo/hD0b+xM+mhdZ/mD0IUI2Wceuxi1AS3emJZ1ZmXQdy8sNYCZvtlPJOpo5ZSRSDXq9rHXn5SbX6jM378/vck/lFt/r/blJ5WY8HSV7xmsWKgxSEAyk/Ry7imwFVhJsCyHMfM2BU0oNBcYA/zA9NAgw3t3ujG6z22517NnAbICTTz7Zz7AEkXlf4erkNdnyeyhKjzRAd0VF7xC7mw7S16b5BxqGb30vKbgBUHkt9B99iJt6944HbzHGDJttx8pYkxVz9kk3J2b0ws2UHTxKqcWyA16CLnOA1+Piizj86mtJWTa7oKt6/p1U335HckZu6gLrNeqmLiD8aLnl5bQLquvf3cfOd4oJNEcynuGj+ex8pxjYRwifcwg7IbcArSuUE9ndGHpZ+Dwb7IIAu0psp/fGKVj0k4m1Ct683uS6LS9hFSi1NROWys24ly8v/FyzuoYmCoN5LP7COZ0qcMtWNjVbgVWuzN8UbSMdREUmeA7glFI9gKeBOVpruxCgzbTWjwKPQmQh73Qfv7PrP3eO9Xywu++FmTMphXiZ44dPTLUO9qLNP5JKE/v0ov8ZuwgNaWB3fl/L149l2MrOLUuYAwdwydY8bnjjEFt/cBb5RZr+IyE0NPJYUkYvmE953z5gKMuMcct0WQV4dX/8U3xfY8Bn26kymnlMCg4d1qjLL/mF4/U0+3hLb4KmhEWgWfHxlt58sq2K8lU/oFFHbhxrjtRQvuoHgM0cwk7ILUDrCuVEbk1I0s3PDYZTELDoxQ/S9t60JRMLbQtyvQT/xkAplUxYKjfjbn830pG97uiy2SQmm4FVLszf7MwyFWTlStMi0fl4CuCUUkEiwdsftNbLLXbZBQwx/Dw4um0XkTJK4/aVbRmocOZnPphtsGdo/hGaOTPxudGyxwHhxPl0MbEMm7lTZOmHPbnuhUMEjkWWHAgfhpp3QpHXGNpARe/ihIxepLlKmL73fZcPB/4k4Rxsy0Sj260CPLNYwGeXsbTaN34dbNao6z93DjV33YU+3joHUXUL2jZTyT9k/Xr5h6BixXdpNF3fRt1ExVv3ZyeAy4HmKm4BWlcoJ8rmjaHfGwynICCd701bM7GxJSD88LKWILQGSnZjm7N0Q/w6OL1XVvMwJy5cYZs181omKtlr+2tw27J3mbt0Q9r/Lklg1fFlMsjqCl+aiPbhpQulAh4Htmqtf2Kz23PAzUqpPxFpYlKvta5RSr0I3KeU6h3dbxpwZxrGLSwkBV0O+4G/5h/1Hxeyp/IkltRUU9urmT9cTHxJgoK8AsrOLYvva+wU+eGUqYSP7U84lm4OsGdjT0JDG9id37qEQWJzleQsmG2ZaDTT5XX9t3BNDQMf+O+kINZuXzehUxrgvAPsWV/QOqdtzOHIdgv7bBZZ39eLhOthtPt4neX2tMpycxW7UlG3IKAtwU17lbCk8rrZujH0e4PhFASkI/CMXTO7gCoTmVi/y0s4BTx+b/6cbh4B1zLRYEBx9HiYYfOrXEtY3a5ZZyj1sntvYtdOMiDCLJNBVlf40kS0Dy8ZuInA9cAmpdSG6LbvAScDaK1/DjxPZAmBfxJZRuBr0cf2K6V+CLwTfd69sYYmon15DfYgce6ZAvrWa771gkLRwkfjBznO0QrXWGe5Yh0tjRk9q+YqxiyYW+bQS1YNIL9Pr6Qg1rZxi6EM0rZr5Sv3EhpykNAQU1Rm05TkhWknMuvZ/Qnn2pgPL0zCPsMZdu9ImDKfSzqkwmm5icvHRD5LTjeSftdTa48Slo5SOuP3BsMtCHDLLl1yZj/+/v5eT3O07F4f0puJ9bu8hFvGzs/Nn9uC2k5lorFxxubq2fFyzbL9ec1UsOglmyoZkPRK5b3MhS8NMhlkdYWSf9E+vHShXIVLf/lo98mbbB77FfCrNo1O5ASr0sRuTZpb15Rw2gMvJe1vDHTs5HdvARRlx/Io7xakUTfRx2ZmZew4bplDqwDPvDyCymuh/3/ugMUjCU1dQCjawdKycYshOHRsoOJzKYRJX/8evw4nLrr+1EUw/aQ6Jh0gYU4gQEFLC2XHDJm5TJU52p7HJ1Be7P5aPsblttxEOrNP7VXC0lFKZwYWFzL24Mvcnr+MgWof1bovD4RnsbbXZyz39xM4WQUFv3/rX/HHvc5rs3qddJeZ+llewkvGzuvNX1tuHmNlohMXrqCuwTl483rNJi5ckbXPayaDRa/Z1LbenOdCwJFLUnkvc+VLrkwGWble8i+f5457DXx1oRRdk9vcMyOrQMgyiBp9EMrrKAWKHr+X4KPLbL8lMGbBnDKHSQFeYRM9Sho5XFOQ2K5/aENSeaBbcGjbQOXuWwld5m8phNJTS2E2/GhctHywuYWy2lpKjxyN75PUlfPTiyIPZLLM0W6pBAC082v5HJen5SbSJO3frnoMVDtK6cySsz5k5NrHKFTHARis9vHfwcfYfNZQYErS/n4CJy/r2ZnnaOX3Ws8J/V5EBevQTcUc2zud8MExDEoxE+uX07GN18Au2xNQKi2LmTs95vRZUtH9vF6zbH5eM/nlhvnzmcryEmZuAUdHvRFMRSrvZbbnK9rJZJCVyx1EcyWAbk8d+RpIACdcuc09M7JuJKJAadC0BlFnR7pZ1ldWMuCnz6AbrW/yjgXh39dezGkex5oQ4C0eCfV7gEhqr6qoOzf17s3u/L6RwOhAHaWG8kCn4NBpnT3L4C26xIAd4zzBePATe+zI0cjSD2gIDYHTr4oEDMtnW6+b56PMMakM9KrzCR3/30gwUtgb8rpB83H7A9i9ls/yS9flJtIord+u+ghUO0rpzHkf/RRU4nteqI5HtnOj5XMcAydDgLu0pQ8PBGbxXMskxzHEgoS+A7bQEFqOCkSySqpbHQUlyyns3o3Vc273d2Kk95tVq2Otnj/FtuzT65wrt5tHp8fsPmODigtZPT85+HaS6ufVz7XOdLBo/HxavT+ZaKwDdNgbwVSk8l7mynzFTAdZudropqNUiWRSR74GAfddRGdUta2KaU9NY/QTo5n21DSqtlXZ7tt/7hxUQUHCNnPXyhjbskkNw79Yw2mf30PoNOLBjV3nSA3s7QU/v1RxX2iV9/NY+YNI4FZeDMePRAISWpcrqAnmo5WKLldwIlVhb1My7ZYEyO9u+Iuv8gAVCbpmPuQ9IzZ6VmT/0JDW51/5KJTXR67Tu09GM2PaOliExPLHjctar8HikZGfac2OhqurQetIGegjT1P/7r7IsRv2g9ZQeCKOVdNWpZY+y0jLzi2jIC/xM2VuhpMSwzV4WX2bq7u9kfBwm79ddQpUTeZNP4PCYGJTmlwqnYnz+d45igW40c/r4MA+FgYf4/MB+7/D0BoknND/xXjwFqMCTZzQ/0XfQ4nduO+qa0DTejP47Ppd8ccnLlzBsPlVTFy4Ir7d77EuHzOI+68cxaDiQhSR+Wlmxpt8M/PzBxUXxpeLcHoMvH3GvJ5nKp9Xt2ttZhcUxrKWbu+HH27X0A+nYMUtuMs2P5/vVNi9l14Cfy/7ZOsaXj5mEKvnT2H7wlJWz5+S8zfv6dBRqkQyqSNfA8nAdUFODSSsmpGYywtVKEQAqL79DvYsXpJQaui0oHgkOEksObML+DRw002Rj6eyKauzPI9Dz0C4ltJYQBIIQuGJVPQuSF6APBCgos+JSevNWbFsoBJd3Lx10C1QHukWWV9ZyZ45Uz13+bRbosAyYLASK9d0yBDtWfyL5DLQZhXvCApASxN0K4I7tkczmBYllValoXbll05lpJC2BcsTMovxdQsjmdfuDTUsDD5Gj275PHF4fGrfrvoIdnK5dCaBz/fOkcXntbs6zu35y3juuHUWzhgkHGzaa7mP3XYn6cyWuH1La/yGfdh86y/D2rqYuddSTi9NYZzO08vn1S7L5vdbbLt5apnKvKQrA+KUpczEjWBbM8jZLAtLpfww0/MVhbOOUiWSSR35GkgA1wW5NZAAmxbvK16JZ3GarZp5OHWKjC4obmYX8NX2av2zXVmd5XkEFBW9i1vnk0UDkt1B64zS7jzDdoe5TQlBbHU1+d3DrfPpYqI3vI4NTzx2/ozzkgUxlms6ZIjCNS2WT491BE16zakLEoNBiATEx48kNzWx2tdPGWkKkq73vnpqDnSH5qb4+5Pf3Eh56GnKv3+P+wGd5rj5DHZytXQmQRveO1s2n9eBgdr4nCynLpTpLK1ta7Yk1flh6bgh8HPj7vQZ83ueTsdyCgr8Bi9e5qn5KWPK1twzp2DFbj6k17mQZqkEYdksC0vli6pMzlcU7vwG3x2926iVXG8y40QCuC7IrYGEU4budLtmHtFW/37XmLMK+Brz4cnJkcDKqazO9jzMa6nV72TAkPE2N4bR0kirzNWz34YX7oCGAxAa3Nq10rwvJNzw2jY8MS4K7lVoMFXh2sSmJgfqKD16LJLxMwcYDhmi/D5nEt5Xn/SQsQy0fkchezb3Jrz0rOgcuW8kzpE7fjiS2YxdI/P8L2Pgc9q01rl7GVwU3PJ6G9YabD256LVxCtDc5rilM9jJFVbvXVvfK5sANxAazPZy92C97NyyhN890PbS2nRmS/wEZaneEKQze5LOrJBTUNCWoNVP1tLp5i+b2Sa3YCWdWcVUgrBsl4WZ5xwuevEDz01I/MxXdAsCcjVIyFV+gu/O0G3USoeplLEgAVwX5PYtt1OGrsJDR0o/a8yZA76mfiGWXRTgjdMOUeJSVmd7HuY100KD3W8MrTJXLU3egxUPZaFeFxo3qhpzBeXbn6ExEAloI3P3+sCwKyid/MPIPtuqqHhqWiRbevLgpI6WsWvQf/RBal5tQTe3lpIay0DrdxRS805xdJpddI7cL5+HH94feZ8Wj2y9HjGGRiVVPYqoGDKQ3ScGGBDsRdn/PU3pwTrb62e7rp5Pjg1mTNfANUBza8aSzmAnl9iV8PqVYoCbztLatmRL7AIOP0FZqjcE6cyepLM8yCkoWPyFc1IKWp3G6Xbzl+0mBHZZSq9ZRa8dFv0GYcbgqpqZUAAAIABJREFUJdOZLLtAKdUbdae/O146gOZqkJDLvFaJZKLbqJ+/o5kMzjtEpYwFCeC6ILdgxilD56cjpVfmgG80cL+H51meR4um7EBd607Rm0fXG0OLzFX9jkL2bOyZuASB8Ube5oY3ndeoYt8/4sFbTGNAUbHvH5RikS3NU5EAD1qDuOg1CNXPhvMKks9paAOg2LO5d1KPlITMoUN2L2kcTfWU9+4Bzcdbx2EIhNJZZmp7vY0NZmJBhFuA5mWOW7qCnQ7E8z+eaQhw01Va6zdb4hRw+A3KUrkhSGf2JB3ZQC9BgdX1ueTMfp4zMVbjDAYUR4+HmbN0Q9L+xkAoeUQR7bHOm5esoteMnFvwbRyneeF5q/cpXWVhToFSOm7U7f7uuB073YG8ZPMSZaLbqNe/oxKcW5MArgtyC2acMnT9537HccHrdLOcixcdp+V59J1Aad0zQEPSzaPjjaGp9CuSjQrFs1Xho/nsfKeYhSc2U/XEaMfMwK5rL6Z4yR85wdBMz+9yCDFu5a628wD79IksRWC8Bq/cS2joJ4llhRDpejl3M+GlZ4HF7VA8w+Uw/8t6HIHE+YgQD4TSWWZqOe+yW5D+51s0zlk+2/ogsQAtnQ09Ognf/3jmUIDrNVvit9Qrk9KZNUslG2h+392CAqdSuF11Dcz787vcU7mFuqNNSeMwjzMWkBw42pT0mjFW4zHKxDpvfti9j0bmAMMclAXzVDwog9brbR6n3WLueUrRonVaAxCnQCmTpZt2x9hV18Cw+VWeAnmvQVmmAwbzOJzmBaebn8A0XVndVH+ndeRW/5kkAVwX5RTMOGXoQtHnpKP0zY2XbpmW5xEtLYwdI15e6FSOZSr92rOxZ0KpIUCgWXHpKvjL2dqxc+d9oVWceqniSys1fQ5GGrI8OVmxLbSKyQ7nahWoupW77rZ4DKLNWcrrEje6lLe5Zg4dnr97/Y+sx2GejxgNhNJZZhqaORP+9RZ7fr2c8GFNfg9F/6/NJHTTjy12dgnQOuMctxR11n88c7VsJt2T6tt6nnaLsHsJCqye29Si4wGZ1Q2xcZwTF66wDUq8SPc6b21ZWNpvh0WroCwYUPTuHkwKeicuXOF6XIAWrdm+MPVsttV4rbbb3ai3tZGLkVNA7BTKGzOWXoOyTP7OsxrH79/6V/zxTGaX/CxEn86srpffaU6BZUdu9Z9JEsCJJG4ZOj9z3FLhpVumE3MAeOrbO+m1aB7vHfwuwZKBiYtYhwZTdcYlVBzcxO4A/Olos+VKaH0Ouo9l95Hd1IzIY/WIxOd6XQ7BOM4H+xXz2AV5/H146y8+Y7nrgGZNTV7ySAc0W/yT5lLe5po5dHj+gP97zHU+4sp/9yH4gqb4F8PRCvKS9m5jKe7GZYTqHif0OcMv87rHYePZyZkgtwAt3XPcnBqmdBDyj2d25cqkerv310tQ4OWz0Zaun25inU7ber3SubC03w6LdkFv9275rF8wzdM47Y4N6SsJdMqmZHJ5CK8BsZExSPATlGXyd57dFyNexpWJ17ZbWiWdWV2332luGXvpTmpNAjhhKV3zUFKx+8huJm5pTspkvTHCOhAyMwaAE7c0c+PzmoJw5LHYItacV0doqKYqXEv5oU00RoOhfb2g38HkYxqXN4iN0cxvK3SncQb31HHjC0GK8ntRddqhpGC6rHY/5X17J6xxV9DSQlntAeuL4lDeZpU5XPOfMOHRZWx98E/kl5TQ4+KLOPzqSYRrWsgvOYn+/1lIaLRN1lYFKTumAcXK/QMpfl1zQji6lIGOfGtqDD0TSnH9BD5u89rM5x97jt2x01UC6NYwpYPoyOvkdFS5kB308r7bBQVeygfBf9dPiNxAWt3MDSouZPX8Ka6vaealTMzIz821nw6L6ViqwsjcvdFr5qUt8xVjr+W1kUtbghPzsZ3eJatAPttLgdjxGgRm4gsyv0urWGlrVtfpd5pbxj6Tczo7MgngRM4q/bAns57fHw9m+h2EG5/X9O7W09PzjcHVl1a2BkUxulmx+b3efGtyXxTQolrDiScnq4RAChKXN4ixCsr8tkJ3G2fgWBNff6OA+3+0Oum5pfknwj6LZQby+1i+lhNz5rA1mIz8Yg1XV1P3xz/F9w9XV1Nz5+3w9P9H6dl9YcwVVOz7h2XWNjhhJCeYuoMqoFlBHiqxFNdv4ONjce34MVIIoJzmZSbwE1jmsI68Tk7O6ICZWLf33Sko8Jot8dv18/4rRwH+GtA48TLPz0pbbq7dshCpLlURDCh6FORbzjFMdVF7c4B31dhBtnO2vDRyic1b85LFsQsuJy5cYXm97AL5bC4F4sTrlxuZ+IKsLUurWO2bbl5f22v2rz3nGGaTBHAi67zeAF/zWgtBUzBTEI5s93JspRQ6+g9yH4tsGkDxQdBKJX2bt3pEHpCc/YtsjwQ3174KfQ5+woePTE2YB+i3FboxY2c3Ttu5YVMXUFp5C6U7DXPXgoUw3f+cLXPm0CqYNNNhePe93vxoUjNl637LS59eZHljWlxvfSOnNAx//73EjX4Dnyw2HvEyLzPOb2CZo3KlpK/D6qCZWLf33SkoiN1A282ngdS7fqbj8+g2zy/dpVtOWYhMLlWRyqL2VoH602t3cf+Vo1yvudu8NbeSSr9fEjh9ptJ9fdtakurly41MfUHWlqVVsjEur0Gtl+xfe84xzDalPX7jlE3jxo3Ta9asae9hiAyo2lbFi4/exdUrjsUDo6emnMD02T9OugHeOvwssPp8KsXwre8lbTbfXBs9/HDYsiRyby+46Sbv32MEVIALNof55guabk2tY1MFBZT88F7buYFOQavxmvQ9iOXcu/yBAzltxSvWg0rTt/vm6/en+8MEXJ4D0AJ88c58ClpaKD+qKL1pc9I+qyeM5ESLIG5/L5j42ZrEcZcXYz0t3aIxC9gvrD7zobTfIE97appleWxJUQkvXf1S4sbFI20Cy0jXT9FFdNLPgV3nPwWWN1m52Jbd7Rzsyh69BC9tkalr5JStsitHjF0Dv5kuI6vrZ8XuWG6v7fd6pSsz4/a58LvgeCYzRF5fy+qcnLK66ZTq58TI7jPTlmPlCqXUWq31OPN2ycCJrFr1q/v42l+OJZRFfu0vx1iWfx+lP0r8R9/vempWTU8gEnT9cXIgKeiyKol0o7Xm1jUDCDcljsupBX4sQPt+PGj9hKem3AWzI1mbSVtaGPpCC4Fj1q/pukxDmuZsmTOHdaE8y6DLLDYvsDEQoOKEMFbfjzXNnsUxc4OUfGgacwTQiVkJvxk1i3lt9d0uY8+cXxCuKXfvlOojAHZb1iGBdLQU0GkysWZ+5wnlwrw+M7dzyHb2OVPXKJVF7VNp6OF13prf14ht93u93Ja68JqZSbUkNZ3vs1Ow6Cd7mu3PulNZrt+MvZHXckw/Zby5SgI4kVWXvrQ/qSyvIBzZjqkTveX6Xg7BjN3Ntdaa/3lgC/UXVsaXP9jfK8DvLm6Jl0TGBFQArTVKKVp0cqnmgKIBhGusb7zsyhzdgtY9i5cQOGbd8Sl/4MCMLdNgxdi8pv7EyqTrb9YC9D0YyXA+OVnxxllWvSVh8jcWsBIIPrqM4vpm6npFgrfJJfWtOzU1wDPfJLKauCIhC+cW+BiCWF+LhPssb3NrUFNfWZm4xMZV30jodOqWHU16fhbf+07JHJyfNg0+fCm7c9E66dqCnWFupJdzyMXA0y+3m3Ona5BqQw/z8hB+jpXJZiJ+lwowBhxOgWg2l11xC0L9jiVbn3UvgWVbs9FeyzHBWxlvLpMSSpFV75053LJEUANnvb81abufG1o/5W1W5ZYFeQWUX1BO6amljo+ffsNPLDOD+0N5fOvbgaQSydfGD7ct37zo7a2+S0WzyXz9I10oX6Mpev7G9/K4guMFih6NuAcftmWSRtEgLjTE1432h1OmWmdurcpQfZa3OX0uJm1psfzCwam01sgceLo+3y1z2AEbZ6SVVWmtWYZKbV3HkY3XzYJcLIv0qzOcQ6r8ZHGg7WWkfo+VyRJWPyXAfkr83EpS26KtjVz8ljmnyuvfpVTKcr2Mwe9yE+l67UyREkqRE8L9iwnuSZ7HFO5fbLm/nzXn/HR/dGs04vT4ymvXJq2X1pgPv7u4BY1KamzR16YxSWy731LRbGZpzNe/alsVFSNW8/0HkpdZ6KahW0PknwvHrBfYZyWi6ncUsmdjT8JH88kf2LpcgRe2i4RXV7N1+FmJ18xneZvT5+LDG6YmZSudSmvN9ixe4v35bpnDDto4I62smuGYZaMraLrXFswhnSU71dHPIVVO1yCdpXV+j5XJsj4/2T0vLfaDAcXR42HbryX9ZA2dFtQ2ZozcSkyzuQSMn5LUTK6zZ/WZMc7781vGm8skAyeyqr6ykp3fvyuhZLDlhCCDf/TjtAQhnlu8p2DaU9M49e2dth0qY2KZv40XfcoyaG3qX8zo1970lXnxnaUhtWtifG6vbr04Gj5KU0uT5wYnCVkvY0aosDccPwzNx5OeU7+jkJp3Qujm1lfwk8myy8BZjq8H9B95gNBQ0y/vNjSYSDWT6uv5bpnDTto4w1dW0VOWF2yb4wghOi0/2T27TBZEsllWc7aM/GQN/WT7AMsALdZF1W4uWSaa8PjJqmUyA+emPV+7rdqcgVNK/Qr4HLBHaz3S4vF5wLWG4w0H+mmt9yuldgCHgGYgbDUA0bXEbsAzlUHKxgLk5vXSnPYDOGXe9yyD1lPmfQ/wd018ZWlwb6DixFwuWH+8db5arc1C52bxbJg5I9SwHwJBKDwRGg6ACkTnvsGejT0Tgje3czSzmjtpO77DUPNOJPsbD+La2GjEbyY1pee7ZQ7T3DgjG1+MuPKbVXTJ8ibsJ4ToUtyye8ZKl992L+bxM2ewcsjYhGPEbvonLlxBXYP1PPZBPrOGXhfUrq5rYPEXzrEM9mJLX9Q1NBEMKHp3D2akk6TXeYFm6Z4/m66F6DsaLyWUvwF+BvzW6kGt9SJgEYBSaiYwV2u937DLJVrrfSmOU3Qifsoic5FdI4uk/ZpboLyYUGgwzL6MPU+/ZRugeb0mtuWBbWyg4lSOadfVE6wXOrcSDz6sytlamqBbEdyxPeHmPHzUuhFKuLo6klVxybyYA2LLrJaBblbs2dyb0NDGlMrb/DbdSen5bo0x0tg4w3Xtu2zNtfO7PqBVF1Az6Qoq3HT1uaQ+5cSXPR7ZlY6aK136HjlA2YanAOJBnPGm3678ToHvrI6fBbXNQajVuoVNLZru3fJZv2Car3G48ZoptCrXTGdprN9uop1pXVPXAE5r/ZpSaqjH410D/DGVAQmR66zm2pkVtGjKamuJtcgPBR8ntCT1pgV+szxOXT/rJzh3a7Tr6gmJC533PQiB4mI48v+zd+7hUZZn/v/ec4CQhEw4xSQERbpUKfzS6nqqsEhLNxZHytp6UbV1re0u2rLbaLsewNMsHrDaVrO7WLVV17X1VC0qRmpaLSq0eELNithiVZaQxAAhE0hIyMw8vz/ed2bew/Oe5pDJJPfnurhC3pl555ln3pk893Pf9/fbBzGU3oXUBR9OGaH65Yi+8g66HvgNLMveSGDHo9UIlA6iqvVyhI6/SsneSRZV2oDYTUllrC9dRhfdsAFdly32nCGWZVLLz1iIrjvuRPuVVzmey1N22smiYPH1iDb9EF1vlSDW70egNI6qEwYQ+qr3YEUWyA/EB9C0rQnhQ33D12vnNaso6z0rhAolU7xwL6knHDd7hplMBWpklS4l8SF85/3f4qUZf2s6Vy57zdyoKGqDR20QeuzVzdL756O/y02m0C6zlave00xUP0dL36ubNhZXEFEpgC8DeFJzWABoIaI3iWiFw+NXENEbRPTG3r17czUshsk54VlhRE6PoKasBgRCTVkNvn7c19O/xwUi+/Yj3NefflAyU5Ale75xBgaD+mODQeW4DDsBFbtyTCAtjW/Flrl+/PD75fjouR/j+K1/Qs0tNyNQWwsQIVBbq+9Zs8r8qMejGzag4+fPIXYIkFmZCwAQBIAQ6w+g47VyRHcchs5DrvVx6VNUfe00kN8+C5cMgJM7r7H2dkCIVFAb3bDB9vGpl7N0KWa/+ALm7HgPVZdfhuj6pzydS/v42S++YB041i9XVAxDMwCQ8lOjahjdNQEdr09CrD+A1Jy9PgnRXfIFRXTDBuz84mLsmPMZ7PziYt0Ybb3v7LJiucbhGpJSv1zp+Yv0KD/P/qn+d16EM3YM5/U9CrDb7BlukpmZPWp5XzIz89Rbexwfa1XRMrW/Bx/dGsaWq7+oCwCuOPM4TAjqK0cyLcuTnStZBklQSjKtetjs7BhyjV1QSAAqJwRREvTh8sfexvxbX3Q172556q09mH/rizj26mbLYLcYRUm8kksVyqUAthjKJxcIIfYQURWA3xHR+0KIl2UPFkLcC+BeQBExyeG4GCbn2PbaWYkn5MC495bQZsxaQiYBlQ9Dm7FIcn871U9yKMeUZRoDFED5uHJEB6Om8hjbMlCHjJEsmASUWUwQYIy/RNyHrtaJ6b41m1K60JGngZN7VFXL5B/GdJCozRRaBrX/fiVCb15oztrYlFd57Vf0jI2Be9cdd0Ic0fdkiCND0ud28s2z9b776DX52LK41i3LetkYnckRrpV8R6kJe76w3ewZZrLxY/Na6VJIpU4tw9nfZZUpTPb8ZWqS7kQ2pZujjVwGcOfBUD4phNij/uwiovUATgEgDeAYZtSQR+NemYDK/O1xXHvbbuy47jOmxYidgErXHXfa/pFyslpwYtN9a9LG3SE/hr56JhaVvikNdoY62i39AcliO8fUK2ez2ArNFKlgL21R4Eegdrpuvix7DA8J6LJ9yVOnyhTV0s53f4hQI4D65Z77FXOJl+d2Clobp9UhMnEcBkT6GkrZc+y+yvFaN/bErI4uwPRfvSRdPNsHkyNXjj+67hp0PfAbxA4JBMoJVRd/FaGVNxd6WMNLkfSKOW1Y6BilJuz5wnazZ5jJRqo+k37mXJblZXqu4ezvsgsW82lmnm3p5mgiJwEcEYUAnAHgm5pjZQB8QoiD6v8bAHDdATP6yWOmwPgHcv72uEZMRCnTa7v2Gtz66q1onn1QWTB//1zLBbPTH6lMVT033bdG55U3ORrH4C9fw6bLzseiy83zcKDCj8lR85fy/grlp0zxMlBquL9diZ1mERaaeVgJ5kIzgMv1xt6WO6/a51KzfdGdCXRsLU0pZsb6A+jYWgokLkPomBUIlNWoJaGGc7lUpcwGLzvITkFreO9uYLASTdUz0DnUqw/kF/fZXuvGnphZr7WhcuMjiKnXhXHx7Ji1tMk6ForoumvQcdeTEHG1xPcQ0HGX0kmQaRCXVyGIfARaRdQr5ikzzllfT3jxYs032fSl5VstO58MV3+XXbB4+WNvSx+Ti7JGp9LNYhYl8YpjDxwRPQLgTwCOI6I2IvoOEV1KRJdq7nYOgBYhRJ/m2FEANhPROwBeA9AshPhtLgfPMCMSWX/SZy9QFk2RSsWjy6Jfy4nGExtR4i9J/X7BJrMSpG9wCEtauiEg0NHXgSvGb8BffvEDU19VaOlS1Ny4xrpvLQuC9z6uMzoHgPFDynEZvzxDYMCwnTQQUMpDH15EGDTcRn6BqvqDmie0WVQtvl65XTdA+f2rLr8MVFKiO0b+hP65ACDahq6tQ2a7g7gPXe+UARComnfA1HvntIvb/GEzGp5oQP2D9Wh4ogHNH8qb0p2Qvg6L57YKKLVBa7i3By2f9KD1ola0nNuSDiYcevGMPTEXbBKm60Lbd1nIrGWmdD3wGzV4SyPipAryKHh5X5NBb0dfR+ozHPljxPIxdv2LJpKBVnQ33PSPuqaIesU8XWMO1zejR9YfHjk9UhABk2z70lz3I49h/uGE6dhy9RdNfYH57MWzOsf0ygnS/sTRDBt5M0y+Me5OA0oA4XIhYOzX2PONM3BLaDM6+zrx6NohaelhAsB5q9JRT01coOX/hq+0afvxc6S7QwkAc9/fYTpuZ45eU1aDC/5vBmY/9qqmHPNvsWicvBxTiibr0DytDk2TKs3ZJBXdfJcJS6PvHfdYlXEIzDlPWQxGP56ArncnIdZH8l1cw7hkpYqZLoDc9vlIzeH9CdScHDW8bu+G1/UP1uP07bHU+6rkqMwIAOetCuJndyWkmVidIfwIY8fxx8PqVc15/31TFhKwf18bnmiQlqHVlNWg5dwW3THpe2dnep8vg3dL0/SRZ5JupUo7kq8xJjMyVaEcs+QoO+/FJH0knXukkrGRN8MwWeLVv0qDrF+j+j/X49c3rkHo3KXY+aB8MZIsPUzS6QNMPVx5DOJ6QvKSyJ6Q3OOt8cRGRAYi2DJXv8i99fQIACAyEMHA9wjJr6wS/3uInP4jy8BGWoJ2+bvpxfSQYkouk7nWibGkgm/NydXsXeDJnyK2Lwoj2syVUq45IF/EGgL7pvFxXfAGaOT6Z5k9+8rPWIhDL72ctbegqVyoTKBqnj54SwWij5n7LO0CxfDOiVj+nNnKwsi+CkBA4KEzErh0I3RZOi9eel7IVZlioJzkpbLlSlBna8MgeT4vQhCehXLyJcpRRL1i2fo15pUi6SMsFkaLXPywkMMy6Hz24o0mH7ds4Qwcw+SbLHannXaLZTvwAwHgnrNI9WpTqBmKoaVNc55sd9wdMPbAAYrdQc9l52PRd+SljlYLai8ZieR5rDIeTduaPJ0LgOWiKrphAzquuUan9ijNXFnNtSEbUj9zBgSlMznzt8dTmSu/xGfPRCAAf3k54tGoY7bPdnFo+EMe/XgCOl6v1JUJJrM8gLyPMpkBal34eakKqhbj9Tp/exwXvuTD5N5E3npPvGbF7ND3wKmQgL+8FPFDA9g7UaSyyVoIhNaLWk3n83K975jzGblRPRHm7HjPfDxfGbgsqwyGG9cqlMNJkc0hUxjyllXM13cDkzVWGTgO4Bgm32TxxehmgaZdjAxNC2HTjIP43M54qhTxiYXAmUf16H3phqG0yaRCuWK5ZfBmR/2D9RCSADiTBXBnX6enc8nQzjeFQvABStA0pQJVx+1BaEZacaW5wkL8AzAF9g11tegIKhlGvThNZuhK6bwuDjXB3s5nLcRYamsBwHaDYcecOZa+7CDyHNwYyXQh7iZI8nJurQoljScg7oeIpTOx0k2VDDYgjMGl53LAfAYJYyR7lLfgr5gW0Ib3uvmEc9C079X8iO4wKfJaPlhEZdBjDasALmdG3gzDWOBBRMOIpcCE5ri22fqYK1Zj8bs+TOtVPtzTeoFLNgos2G74Yh6G0qZF37ke8199F3Pf34H5r76bUfAGWEtQWx23K0Hzei4jRqNv0dODxMAAam/7EWZv3opQ409SggfN02YgMnUKOoaicjEKw3vQeKAHJYkEALk4jVe04iCeRSY0BtixPll/lyL64CQIESiTnz5QDszZ8R5uunKGKXgD3L0f2ZiuO5UpSs99zTWIfu8zUiGi0MqbMfuNHZjz/vvwT6nVBW8AUBJT3tPU7zbKfF6EIGQm9eQXqPraafIX7lWUo/Vx5bW6EV8ymqaP0uDNy3Xh7eRF4jlnEMJpju1H5KP1rkV3mMyxk+fPGjsVZ2ZEwgEcw+SbLJTMvKgJAkpPjNbzDQB8cUJX68T0gSKTwTYqbwL2C2C7IM3ruYzY9RwB0C1im46qlfe0bbpKWewd6QP841K3hfv6ETlwCDXBEKZIbBMyYahDzc5ksTi020Rw2mBQlDgTutvIn0DVvAMAvL+3WhzfCxucAnnpuY8MoWvrEJzUG62C2qm9cK3Mt2B7AuvuiuOxW2NYd1ccC7YnpPcLHXkaNSf3IFAaAyAQKI2h5uQexbxexaRSuWuCu0ArX4qVRUw214UjxbKANmwGNU2qxIBPv8mT7PEccXjZkBiBZONt50gWG81MYeAAjmGGgwx3p71K/VtmRPoDKFYZbK/S1HZBQbYy114kyC2zPElBmcPdSnnshMlIvjfhL92Olgs2Y1xpluk3lQMVanbL4+JQu+iP9/eDAoYsmQ8Q+9sRa99jKrpJjA+mNhhCn52KmpOjhgAjitBnpwLITnY8G8sBp8DR+nOkmQeLDKZVUBusrTXbMEjwlFmMtiE08zBmf6ULc87rwOyvdCn9l2pgLjtX27XXYNW1850tDfJsDeDJ/mCEkM114UixLKANmz6dxu+G5HGL77+CMQo2JPIpz8+WGcUHq1AyzAjHrZogYGPgXFsLRMzy/Xk1DM4hRkPxpK+WbNzJn1avK1NzcsCbQbbRdD11XFtelxgCxpUBV32k/K7uEFfVH0TH6yG9zxwl4B/nQ/wImVQoe8cLTBgCgppTDwQUf735gCdDYqMwjujpUUQ5xiUQP+IDBRNA3If4oGIKQFDsIQiKmuQTX/ThzLk+hNXnDfV/H6GZXZbPm+n7MTQtJBVIGZoWcnys0zXiytAdkGYws1U59KQs6aD+KDtX0ify2dkBqQqr3WuzPe4Bmbqu1tB9pJLNdeFIcqE80vsIDddcdSye6t3V4rYsfdjIQg16pHDFmcdJe+Dcets5Ur+8aOaC4Qwcw4wqvJRcejUMHim4GXd4Vhgt57a4zni4zQR4mV9plieRQOOBdNAR/XgCdj40qDz3gtMQbfohEN2N0MzDpsxV7en9+PRD/54ylt124UlY+T0/vn51ACt+MA53hQl7K5Rgam+FIprx11PUxvb65YhWfgc7n63Fjkdr0Npci1WH6lD/1k2mLIxs0Q9BoIDib+cPCoiEvmTKByV4W7kygD/MiafLp7I0tbd7bx5Z6JOavz+y0N2fNbtrxLWhO/lMr8Nr1tyIp8yiQ9bG6lzaEl3Lcrc8lvRlU/4qZZhK41xfFy7nyGTwXl42IvoIbb8TDdec0rurz8N7KUsfNoqlx9CGfzhhOtZ+9f9heuUEEBTz6tHif1aMGflCwyqUDDPKcKuS5lXeA+uzAAAgAElEQVSef6RgNW4f+SCE8JRJ9GyEDG8qdLoMZzyBxv37U2qgijy/PssmN9CGEvhoduNlSoVGtMqFTnYT2vu+N2cOSPJnQUDgM+d1YMejNZAZV2vN4y1VJCUqiNHdFej683TE9vfq5tPpvTGahCfN3/84N+BaUdQO3fssURg1kYWao/Y68WxmbqP+aKVSGSeARHrOtsz1o6asRv+5aX0c0aYfouutEsT6/QiUxlF1woAi1JNlYOHZ/sCOYZbfd7wuXD63ZyuLYVL5dPWdWIwqlMWk8jnGyOTvsNfzjzjbEA+wjQDDMDq8yvOPFKzGrcWtp5cbGfaMAzbjQsaw0Nz5TJXam2h47tIYZn9FU3IokXH2GsRavc69atYMSAfuW06dJw0guiuA+We1W45bdi4ThkWUNIhV/3B33XGn7XvT8PACdAyZjdRrgiG0XLDZ/NzZol20kg8Q5jnKZDFoXMjP3x7HpRuFycw8k8WMbGEkoA+/dYE8BRFZcGM66Df6HI4Loubmm12Nw+5z49n+wA7Jwry5rBRNU6ag0+/Lf0CRYWDlaQNtGIPUnL43Iwn22Rux5POay3dwOBywjQDDMDqyldQvFNVl1Zi/PY5162J4dG0M69bFMH+7fjHtVgXNqVzNi6CEY2mnoYxxSBIEAcBQv0EUQFKOZSUQIISQlgS6KaVLnvOXZwhpaeIvz1CW/XtOHsSg5PaHFym325ZPGcqVulon6vv8kC6li3WY/6Arr0U5rrVdSGIsUbXFa9mdVohIyFUhU6/Pw7mbtjXpsjBb5vpx9xJCd8gvLcH0UmpkLOcUPjLlTrUWBwNiCE1b1wJQyxyP6FVUxZEhV2WO0Q0b0HbtNSbxlORYvarr2j+Z/ppqLitFZOpkdPgps9LwbK4LD2WPTlYWOiT9W9GdwM5v35BxyZmpfFOdn2zEgUY0LNIxYsnnNZfzcu0RBAdwDDNGyVZSv1Csji7ApRuF3uvuOWEK4rQLIavFipMMvpcvf+NCHNAHktENG9Dx8+dUU2zzQjrJgQrNLVrBD83CsjouDyCsgm+r17m/wvzYv54yHfecJemnm+MDQLjl1ArcLbk9WYZnm/k0BKMxY7CaPN7RYe0hpx4P721DZF83aoZiICFQMxRDZF83wntd9LRkq0hn1x/m8dyyBfuWuX5893u+VL+jNnjz6n2n9YmUlcYChkD+iBIAZ7Oo2nX7LWY7k8Eh7FpzJRCpROiDVaj557My7hPUBbHP1iD6cbonS5G11y9tXMvaD6NSoacNNEOQmsxcxw5B70fnMoiz22xy4z3qhVz2NmV9rjHgVViMuLrmMuxzHbUbEuAAjmHGFNpApmlbE5b9zbKMJfULxfRfvaQrLwPMRslAeiFkt1hxygTkxDZAPS4VBzGQznQZdogNC8vG/fs9CQfIXmcCijfZunUxfGGHP/XYxhMb8WZ9GVauDOC8VQGsXBnAm/VlaFz0IyDSg06/D1vm+nW3b5nrB4EcBWOMAggm9b7k8ZoaqYdcwi9w/0KljLbhaCWIamlrR+vHu9HS1q70F7oRkMhAIl+3CXBUJZorKvV3SAbbbs6dYTCe7W6y1UKJgFQmm6DMb3eFfHngZiEfkKiDAkDgIJAMjEI992H2nZeYglQnTEHsIaDj9cpUEJeVrP0La9A8jtBQV4v6mTPQUFeL5nGUM+sELZ420AzXtDRzfWQIXT+62dVz22025TI7msmGw3CcixlZOF5zWWys5HpDYiTBARzDjBFkgczTHzyNxhMbXak1jhTclANqF0J2ixUnxUArSXrZcacddatxCxgyXafWmXeIDUFBuK8fkX37URMXroJv3etUn1PJp6kZzI2JlFm0kzeb0+u0ynYCMJUxVZ0WBI0L6s6T/MNt9JAbKovjniWEZz8bUK5fPyEydQqay0rTD/YFFYN0p11aj4p0ps/OUFR57mmSciync0uDcUMpKAWlC3mnslInZAslQHMdPCfw+fcSEBB46IwEBoOG+7lcyO+rcHHcyS/NYsddGsTGCV3vTgJAqE5AWmLtpjS8OdatlF8GAxBE6AgGEJk6Gc2xbsfHesWTB6Jh48Myc73P3BMqw26zKVsVVS25LF8bzaVwYx3Hay4LT8qclmuPMNgHjmHGCHaBTDEEbkmsvJh6QkoWyCha4JQZs/PZe2ShD8ufUjJ8SQYCwOMLfag33LfxxEapqlxyIW417n0a8Y8Sfwkish14SVAQ7utHuO+wSeDEiuTrlDWM+waHdD5jdt5sdq/TKMgh9RnTeA2FAMBK7KL1sM5DrqGu1uQ3NeAjNE2ZoszDhEnAkUOKQTqQ3qVNPqduMuz904xIPztiCE1H1SK80iBa4nRuSTAOKKV/nQE/qmNxNPb2InyoT3kZmvmxwqrc1DQE9f21EohJZrK3zFXKOIE4LnzJh8m9CU/qbRsbJmP5U92mz83GBcBC7R2tgl2j4ITmvbTMivcpYj+r71uDyo2PpLL003qBSzcK9By3wHHcTVMmY8CnL24e8PnQNGUy8vEN6doD0eARFyiNWwogucHoUTl/exwXbBKY2gvsfHAx9nzjDNzyPT86+wKoLvOjMenr6JFclq+N5lI4xsHvNgsLCN13XpGqUFrBGTiGGSN4apofwVjtqM27dq00k5iNWEvz7IPSfrDm2QdN93XaUZeWMY4PYmPDZOcd+Bx4ciUzY0ckC3fA/ULI7nU69QFKX4KmR0tXSmfI1lmWxvl9ShA7rgyIH9HfaLVL6+CfZnoOL58dp3NbBOO6UtDeHuCFNaayMUV8VV86S/4EquYdSB9w6BVJzjdI3oWpzWRb9eI5seDbq/HA2eN1n5sHvgwsqDFsNlhdvzY77k4lUbIS6/FDwFE/fdyxd6rTL58Tq+PDiqZ/q+q0oKm8GJSAiAfSr3HdNZbXgbZ8c/72OC55TukpJiim6pV3PoJZr7Vl7Q+ay/K10VwKxziQ5d8/y78xRQ5n4BhmjGDcddUeLya87qg5ZcbsqC6rxpa5HdgyV3+8xmLO7HbUrca9dulSrHUayOLr5RLYFgGHEW1mbH+FkpUw4mUhZPU6c75JoMnWVVvIrqeu32gboh9PQFfrxJRv2Z6TB3FLXRydD9brM7OGjAZCdcDsBuX336wwycF7+uzIzq2VlrfK0BmJtln0TaombkLpIayqP4jQZ6cqN7U+jubfX4GmilJ0TqpTsnm/v0LJnhiykFYZ4f2G8kfda3QpmR+eFQZWADedpFpqBCuw+pV2TH+kHDv6Q2lPua9aXL82O+5Vl6+VyoI79a0irvRbJnunAJi+M6rLaize5/wECZn6U4UujQCDaY8+CiaAuA/xQQBQ+8PuehI4uQehmcKUjU5+dpu2NeGCTbt1mVJACXiTmVjAXKnhdtxVl19m+155IZfnGkvYWtsMI1l5sWX592+0whk4hhkjFKvqpAwvO2qeek0M5HrOMt4JzFICW5sZe3gRmWwCcrUQyqc1hdN7Ee2qVZT5+gMACLH+ACa/XIYb1wGPrB3CtbftxvP3XpPKJER3TcDODUdhx2O12PlkOaLrf23ZJC977i/s8OPH/3FQntWxU7uTZehkhOqsgxEBzDmvA7O/0oXQbKQWMs2vrMHz7aW49l7gkVvjuPZe4Pn2UjS/Ys5CyjLCg8G0HYRxfr0KCYRnhdFybgtaL2rFrydeheot5br3puP1SYjuspgHmx13p34ZNxsRVr1Tuf682/WDZiXKUb8cocafYPaF4zHnvE74x/shEvosoYgTulonpg8YstHJ92faQedMLJDehPEy7lz20+XyXIUml8qcdjha22SLS2XIrAVo2AJCCht5M8wYYqTsxo0knOakUHNmfN6FdQvxctvLGY3DaH6e7HmZ0guMq63NWU+AsQcOcG+q7vb8Vu/FzgWnOYo4DASAx/9hMq4+9Wrzbr4/gZqTowjN1Ozykl/xfAvVofmEc9C071V09nUivHMivrnhoE4q34s5bPOm69D04Xp0+oDquEBjTy/CBzUrZl8QGD8ROx8LyHudyoHZZ3eYsmCrfjAHy1skPZsNwNqf7jCdx7grvucbZ+CW0Gb5NXbHPDTH9ut79Q70IByY4mhe7tmoNwvTZZlxrwwB4LxVQdPrzNXn3emzkEvz4h1zPqOU2JoQmHOedhOATD2zVuPYq+nNBdIG46PW6HuYGE5jaU9m8V7x8BnlayY7rIy8OYBjGGbMku+AI5fjMuI0Tu1ClIiQkJhP5+QPuc3zugqIp56K8FvrHcvyAPsyHOtFrJ69FUBNea18QVEaw+yvdMkfqFmc2C16b7pyhuk1a8c9NC2ETTMO4nM745jSq5QsPrEoiDOPSSgedkkxlviRlN+XVjLebrH38ilzpOWxeyuAhWeZAz4jdvPbfHstIlMn6TzWShIJRPYdQPgKexVMy/eGCHN2vCd/kMtyTafXAZ8vVT6pZa9RPCjHn/mGJxow67W21EbJ/golu/nhKXVoObclszmxwHKBbLyeQzNMwbYsoBgMAncvIVXIRlFFjRw8gvDeNux41CLDmcG4C01WZX0Z4iaYydW4jBt3SQiE1otavQ9eyx3zLMSazNdYLq/1sYhVAOdYQklE9xNRFxFJt9iIaBERRYnobfXf9ZrbvkxEfyaiD4jo6uxeAsMwTG7JRHRjOJCNy4jdOI2lM7LgrUQINH70rpJZ2XSdtfS/R7Slc0ZBGWlJz0fr0Rzbj1RZ3lPfA350rKksx6kMx20P39ReG0W7fj92PFqDnc9U6cyhAehK0OysLIxlSsZxB7t68KU34zoj+oufG8LmjpBJjCU087DGSgGOZWNTJcFb+rh92aPT/CoKjQaDbFWh0YmMBCiyMF3WlirX3rrWVCo6ENCXimo/S7kqb/vUa3tS4iDJ9/mS5wQ+9doeAN7nxK4cU2oPQQIiRunreXeFtGcotHQpOv/1HHSH/EgA6A758fbFp+PDU+qUkvNgCJF9+xHeq5TOWipd+nx5Lwn0it17WShfOSc1zVyOK58l7V6UIVmAJj+46YH7bwBfdrjPK0KIz6n/1gAAEfkBrAOwBMBnAJxPRJ/JZrAMwzC5JFvRDVvPszyMy+39rAJAH/lAAGpicUT27ke4rw/Nsf2IfLQ+f30SDuMa8BGaJmlMsRNDqhWAPuBw8oGy8jgzEquqtFk4KCbqSo9WyBzEqYsTq8cnBUC0AYFs3Mauo5IYsKQlaX+gXwCFZh7G7K90KT1vDn2TsapK6fHuCjgaUzvNr6VCow+OPTBVl1+GxHi9qVxifDDjvksvnztj71RSSTaZXUq9jr7OrBfP2oBh5YaESRykJAZ88yVlHr34Uzn1MhlfI1VWgvwBxI/44dRz2PxhM64YvwGXfo9w3qoALv0eYV1Va9of9JMeRRVVpar+oFkBE1CynCPIYNvpvSyUr5xTMJPLceW1791BGVL7WYj394OCcr9PJnMcAzghxMsAMnGxPAXAB0KID4UQRwA8CmBZBudhGIbJC1lZDOSxQdztDqnV/awCOyEEWrsFWnbv0fmPmbyv8pSFtAyYLSwCmstK0XDUJNRvW4MhB/sD2SI2YThvYnwQx1yx2lWwJ+I+vQgEkFqcyB5vzOokX6tbe4ZU9iwLyexjrlhtCpQGA8AvF5GjMbVTZsBKiZEA1M+sQ8PEOJp/f4U0iNs814d7lvj0dhxLfNg817uOWvOHzYhsvk7/udt8nWMQl8zI3XTlDFPwpry+6qwWz8aAwW9RzTupN54ak1tRDjeVAtrX6C8thYjpy0bFkSHp63A8t2RDIZUVJgL85rkcCQbbTu9loXzlnAJ3Nxk6txni8Kwwbh9cirvvEnh0bQx33yVw++DS3JQK29ilGD8LoqcHQgj4KyuLXoBmJJErFcrPE9E7RLSRiJKC29MBaAtk29RjDMMwI4JsdijzWX4pG5cRu3HaBqaGBZmlv1qG0v92CwzLccXMPUrNZaWITJ2MjmAAggj7KiQPhH5HW7uIPX7rn1C3dq1ugVx3080pw1jt4tmKWL9mbjSy1drHC0Ca1Um+VtdlQj5S5uzJcqXcTYtLyezQ0qWou+nm1OvqrgDuNozLquzRKTMgvSaFQII0weGkcqniZdO2JvxhThwrVwZw3qoAVq4M4A9z4hl9Vpq2rsWA0Bu9DYghNG11NOOwfB3Jz1I2i3q55YOZAxX+VOZw81yfK1Var5UCXl6H5bkPtSuZVTIvE0MzDysKmDveAxKSbJzNGLySaUmr0xwUqqwvUxXVQE2N5wxxdMMGVP/nekyOxuEDMDkaR/V/rs9NdlSiDNk8/5/R8Jdf4J0brzR/FmIxUGnpqPNiKyS5COC2AThGCPFZAP8J4KlMTkJEK4joDSJ6Y+/evTkYFsMwjD0yi4Flf7MMTduaHMuzMim/dFv6JRvX14/7ur0VgkbSufGTdpSQPhOTCvgMmRxZ8ARk1ifhtMCQLp4TAo0HekznUjKD6T9RmdgfGG0bAKQWg1133Imqyy/DnB3vKYspCYFypaRSJludPPdHz/0YP/x+uS5I0gbXsh13Y3JGAKCEUOZsX1Qpd+uabvncdmhf83dXBqTZJlk5pJXR/P2nD6D+wXo0bWvCsr9ZlroGfUKYgt8Bnw9N483XUy79ATuPmK+V+dvjuPbO/a6zEla2IlaL5+4Kn+VnNhlgWGWItQwGgYfOSOgzh+ucZdi9Vgp4CU7sN1UEICTfD5oNBcuAR4is++GyKWl1mgMvJayucCmpD9jbydh9DmWBkV22M+9lopo+1eZlP0Kk7bfo6OswWVAkyXd2c6yRdQAnhOgVQhxS//8cgCARTQWwB8AMzV3r1GNW57lXCHGSEOKkadOmZTsshmEYV2hFNxpPbMTTHzztqizS66LKa8mlUQzk2tOutRQHMXp0hffuRmTfftQEQ+aAz1D60nigByUJfUiRaZ+E04JBung+9hxFih4ETJgM+McBMGcGt8z1456zlB6mTMpw7BaDlou5G25zFNFw8hmU7bhPOv+8dPbP7zf1xIkjQ+h6v0Z57sXXKz1r6sLQi+CMVdmj7LhxnENVlbhniQ/Pzu5NXa9Pf/B0qjfKSu9TltHNpZiCccNh/vZ4SizEapFv3DgBIP0sWXnj6YIuC4EaqzxunKBkQ0N+nbIjoGYOx6uBUnQ3ok0/xM4Fp5kCUa+VAl56DuWbKgndpkpzWSkaZtQqfZRHK5mW5OfBrhw52364bAIQpwAtp75yhu/f6Dv7sPPia7FjzhzPQazd59AyMGpvl25exDqsys6dNxu8oq1I2e+iWiKXXnjD5as30nBlI0BEMwE8K4SYJ7mtGsAnQghBRKcAeALAMQD8AP4CYDGUwO11ABcIIbY7PR/bCDAMUwi8+OZ4tSDIqyePB0lnACaJdq3HWTbeVzmRi1bH1jAxjo6g2QMt0/lyku8uhKQ44DBnj0XQ/Psr0FRRis6AHxXxBPr9PgxpMl8BCqB8XDmig1Gpp1mmNhlO12vDwwvQMWT23asJhtBywWbdsVzadTSvm4dIqUhlZ9eti0mtE5Lvq/S5NbL4mDBJOXj4ABCqQ3TcMnQ9uRWxjg50V/jw0BkJUxbTyRMtyUAAuPcsH35223ZrSXch0PrxbkfLCC/+dM0fNuP5e6/BuS8Opq0qvjgeZ664WfoY3bmHhhR/P7VHNlnKrLOPMLx3qc+OxVxk6veV7feJJ5/DbLhjHqLv7ENX60RN2XX6M+rZ503z/dxwdB061Iy51bWuRftcO0+ag9gh830C5cDsN8y+kNmgvb6TmypaER8aF0TNzUoJeyZeeFbfz8Ppq1coMvaBI6JHACwCMBXAJwBuABAEACHE3UT0LwC+CyAG4DCAHwgh/qg+9iwAd0IJ5u4XQtzsZrAcwDEMUwi8+uZ4WVTl1ZMnUglzYZ5ydqNxbz7JpWFrJot+u/fD62JwuAzc7ebsL1/7RBesuME4R5m+Dtn1mjSAn3aQMDQthF+c1oc/zE3fp4SCiCy40TlI8Dqf2g2HCZPQHIihKVSOzoAfj94al2e/1PfVMhAdiqGlTRJwaPz+nD6zVteUALDP4Ptm6Qv3aYGWtnbsfKZKatoOvx9IJDxtKli9Zh/5IISwn3/DZlBDXS1m/YUs/ey05Nrvq9DfJ26JfqvaFHwbcT1mg0F2/cwZEOqGjSwwsnsu2bjIn0DNyVGE/juzHmcrjNdc8rtiai8QLI2h6oQBhBp/YuujGSgHZp9t9qu0C9KsNg48XSNZeE4OB1YBnOTbQo8Q4nyH2/8LwH9Z3PYcgOfcDpJhGKaQVJdVSxc+VqVe4Vlh13/8vZ7bE6E6iwycs3JhLqm6/DLpH9pM+kqS8+ol66BdoCXL3ZLnCtTUyP/QS3plnM6VS+zmbOUnV2LA5/hnWkdSSCc5Ti/XqBbj9apfPCp+dpc8H0TZuAo0zz7o+P4Yx5Esa3R8bw0LWhzuRtgXRDgWAA4fwM7yGnmWQX1fvSqfpvz+6pc7fmatrql9qkl4CQUR+UQRA1ndXYvKFwXGq4vvab3Apc8J9ET7gBqDYI4W1YQ8WY4IwDGIs3rNST9I2+t58fW6+f7UnwkrNqaDhqSf3b3YA5yrf6iXz1gSu8A+l98ndqJT2X6mu96dJG0V1JIsc5QG4toAgny6vsPqWLoSQckEpwMjq7LdlDLvZ6cCSGcGA6VxVNUfVI/nlsYTG3XfmVvm+vHmnAQi+7pT2dzk58pSYOaQgM4+BgDql9uW0roS7LEL0IzfL4bnHsnkSoWSYRim6Mmnb05ePXlsJJ2Hk5z2lcDeFNyIkyqoF9GC4TR4t5szyyDDgUwVRO2EcC7YZN759w0O4dt/LHH1/mjx1A/6wpr04ipJYkgxPI/0oOqG28zv67ggqo7vACKVqI7LVRKTvXTNZaVoqKtN++SVlaaUWhtPbMQXdvixbl0Mj66NYd26GL6ww68TqDHZNgSBRxb5TAbY0zcPpYK3JONjwPTXxwMAAqUOEQDc93+52RSyvJ4N6oLffMn8vmv97LR4FQbx6m+XzfeJk5COUx+V3e2xPpeDkPVoGvrnjJGg0qOcvoa3zPXjh98vx0fP/dhafCkZMC++HqHZSPtIfqULodnIy98FXS+wEKgZiumDN8DRR7O7glKfw5smjkfDG2tQ/2C9rYWMo2CPcX413qIAgBfWILoT2PlMVdr0fiekXpkjDW9bewzDMKMYr1mfkXLu1E7hCCgDScr0DzdOC7TQ0qV4q+stBO99HJXROHpCfgytOAfHS8YqO5dSErQbO66z2EXPAqs5qx5XKe0zcyKjrK5hJzq8dzcwWImm6hnoHOpN+9QZSO50mzIpU09F+K310uvRKkBevXk1Vr2ySv/ZMNhepFCPJ+ct1R8zpQJVx+1BqEoZcOP+/YhMnaLzOkyKdBj7u5I+eSglhAEs2J7AzI0J+AaVx03rBS7ZmEDd/AQwS/G3e36JD+e+CF2v2dkrbkb46asAjQG2VYZNKZskVJ0WRMfmAMSRIen9jPNtRDv/FeMqEPQFMZSwP5dloF+/PPVeTXpsjvQuk6Jx1D9Yr3uvTO+Fw+fETVYsV98ndtlUY4meMdvpdHugpta2F9JIMhAPLV2aCiC6Wqv0WbKZ6ucw6dc5ZQo6/T7dfEcvT9hnKIf570Iqy37HPCAqmQ+Nj6Zx3IMB4CGNX2Xb7jJc+1IcU3rjSBCkvorJ68t2DmQbQJose/SdfboyU8X0PgRgH0JZzUb+cSViMtxwDxzDMAzjBSfRDS89MLJ+DlNT/jA0yidNq7W+ZwH4UD6+AtHBKCrGVaA/1q9bqGfc1+MghGPbq/eLH5hFMxYSzjzqQHoH3kVvmZbU63j6KkeBHl3wGE+gcf9+3c5/c1lpegEcrEBj526Ee3us+7s+NxktF2x27MGyvebefQ3avlSrHjdtr45WqAE+X6p80ur+qdcnuba14jZElCqf1I0zLtDyf/YLe6s52KuWiQKZX3N57Qs2YPf5//Q//dT2fbaag+6QH9/9ng/hnRPxzQ0H4Ru0D5h1qH2Btn1qahCn/ewYMYl7fO00hI48XdiNPGNZImB6Ddpxd08UeGhRWqFV9n0rIC8ZDdTWovyMhTj00svyTQOH/vDhFHrJFKseOC6hZBiGYYoepxJVL2WRxnPJygdz6qdkQXhWGJEFN+osCm76u1vwynmvoPWiVmw+fzNunH+jvT+gWxwyXXblcZvvvwUXPzuIab3KomJaL3DxbwU2d1Sm75zc9YY8Qzh/e1xXqvi3rX3Ke7P4ejRXVOrLHCsqU2VgpjI8PyEydbJSCpmcx75+tPxfm1LqecFmhL90OxCagU/9mVIWBMlxX/KcwKfePgDAxgy6Xelr6zwkz7p09nWa+k+r6g+C/PogivwCVV87LfW71h+s9ta1Unn+WHu7qYRPdm3HRAwTAhPQelErbllwi9x/cf9+SMvKtOOWvO8DASXQTf2eYXlxdVCuN291PBvs7D6c+qisbq+MxiEg8OzsXtyzxIehqspUqWft7bdhzvs7HMsclf45/VJcxH3oaq2AGx9InafcnZcg1HOfdbmgR7zK86fu//UIdm6caetlaedXKfu+JaiWHIDOfzLW3o7o+qdSnp4mk3CrPnD1uFX5q+uy2ALCJZQMwzBM0eNUourFTNp4LqfywXziJEKSqUiJCQchHFl5XPkZC9F1x524sL3btDteEgOWbAZwluagprdMmw0x7rhrhTKaTyxTSiDVLKRS5jgFKC9DGBaBuc+HpkmV+v4b7UJOLRH85qnzUGLwldP2d1mKcpTGAAidwISW6qEh4MiA4mkYP6I8vZpNMQlKHHkagFmgWzff7e3KolWtmDKW8Dld26bPRjyB1a/2Yvrr5djRH0qPRS0rsxxHRwf2ThR4eBGZrBUy6btsPNBjUlk1etDZ4dX6w+qz4iS+YnW7IODRtTE1cxvHv32/Ci3n/kl3H6cSP8sA4rA/rSCc7E21EuGwEHYT+XgAACAASURBVEABoCsXdEI7nxQKAX19EEPK585JRMdUZrovio4/lgA3PuRYpVBdVqPLZFv53fmEknEzvhdiYABd/34lQm9eaJ4fgygPAIMRvbz8NVAjD7xHEpyBYxiGYUYFdqInTmbSdmbPQSexgNGACyEc7a551eWXIbr+KVsTa1PgqwZRxmyIbMe9JAacvymBq1+5WldCCqgG2GrGx5XKpIWgz6ReuXBI8rg06+hPoKr+IACzwASgCUAOdysB14TJSBZ/hWYe1gtKzDxsnflEer4DtbUmeX4xMIB3b1qF+gfrQSR/B7TXvPaz8euX96F684RU/12y7yf6zj7bcczZ8R5uunKGKXgzPpdbwnvbENnXjZqhmF74Yq/1nCTRmqhbGbi7xUl8RXa7gNKXpcvcvrbHdG4nIRarQCF13E6Ew0EAJYXmGjNl1dZdo/jYfasabauuTM2n6OlJBW+p12xTdZCN6bqx4sHKCDxWVelewTKZdTSI8hizgV6Fd0YSHMAxDMMwox67EksnNbxi/iPvGoeFjhHZgs1IrEyzoDQEUdqAYupB+eOtduKBdOBmGZgnAKfXEbRYPCePmxbfpTFdb1K4r18egCQzfxq1TGVeJdhYfSQ3FY5YCGQkS/hk/W12CreWZXvvTrIcS5KcqumG6pTy1rZ2tH68Gy1t7crcubA/ySZgMA3DIcgy3h4ncz+WlTInAISOOYzZSz/BnK+3Y/bSTxA6Jp0NcvxusRPhkN0mHYAyn9Kg964nEX1nH3b9bwV8Dv5ygE1ZscfjWowbOhsbJiM2Tr9JkBgfxDFXrLZWndSouEZ3Aju/fUM6SN01QemXjfQoPw2lnLlUTh5OuISSYRiGGfXYlVg2PNFgq4bnVV2vaNGoDzrhtDBLjPPjmFMJShBlL6YQnBJCbJ9ZbdNqJx5IB27GckxADSj+LgI4lJa68RnTqSDeMQ+IdunOEe7rRzgwRc1ySMQSktkPh1IuI1rRjf0VSpbHiHF+XBl1I7u+H+nnaOqpqtjMNxzfa13Z45QKVB1XgdAMzYtzaX+STcAgw0ntUnv7e3MslDllGV0HnzHH7xaH3lRHNPMpDXrjhK7WiQhY+RAasJPt9+QBaPBmCy++HmGNMXz0VOvyWNNnVpMVj348QRWFAQAhL/00PHdo8fUIeTSGHwlwAMcwDMOMCax6YNz0x3mRM7czJx4tWC3YAKVPxUuAW1Xfi46XErqskFEoQ4s245ONPYfnwNwuCHthjW0PoVdJd21v38OLyKTKJ5sfIYQr9cZs+350nyMPRsiyPqn2AxX45I1yxAcFAuWEqou/ipCLTYRMTMNzRdBi/qQZXasM2vpLgd+scA4gHHpTjbc1l5WiaXIlOv1+VCeAxlnnIKzOp2XQ2+/HPotNAi12VQeeTNddXDNW37emz2yZQNW8qK7H1JRd1to2FLFxtxG2EWAYhmHGNE4WBF7wYldQzBgX40AW1gqRSkQ/LkkJfHRXkE5WXEtNWU1hA2LD7n0qCHMhne4Fo8S+4kOo2B30hPx46IyEaX7cXq85fe8c7Ce0WMnx6wgE4C8vRzwatQ2oZa/B6bFeRU+s8DR/ljL2Guyuk9bHEW36IbreKkmL35wwgFDjT5TbNdec4mto8DzUfPfsXHCaNNMdKI3h/kUBLG+BbpPgCAFHJvhQfli4sihwPb8erhlHDJ+7HY/WQGo4oNo25PS5hwkrGwHOwDEMwzBjGssyvAz6etyYE48GclpWGqpDaObu1C56c1kp3pw6WXeXERMEW5WZ5tg02Wg8vWWuH1vmpgPYN/8YAbxcr5rAMxSqA/55Gbqe3Jr9e+ehxM9VeWMshniPor5op3xovP6SqolWj3Uy4/aCp2vfKoOmxUYpMrprAjpen5QyeFcEZyYBuyakn099X5umTMHf7kgYfA370FSifPfIMt3J8sMFNYQHvlyJc1/Wm9KfueJmnDwrnFXWzPyivJeFWlY1GD53gXKS+7olM7PZlqSOIDgDxzAMw4x5clX2OJzmxKMGSfaquaISTdUz0DnUi/DOiTj/5QSCe+2zMrbnz1FgNVw0b7oOkY/W67MpCYHIsecgvOhGb9drjrODOnKdgZMgMy8H9J/Zn92VwOSotfG5kyl73pDNvRRK2wZo8DLu7145FyueS5hKbe89y4ef3bbdlOlO2UfMPAyA0DytDk2TKtE51Gu+pnKZufJ4Li9VDY7ZUc7AMQzDMMzoIVd+asbMifY4Y4EkexVefD3C9cuVBdmzWWROirTnJfzWeiC2X1lQB/yojsXReKAH4Z71wKIbzdernVeYnZJhtnPgQZxF1iflBlnmzrior5QEb9rHWmX/htrbUf9gff56VY3XtsyrDbBU3rQ2k9+jvN+a9/mbL5HUjiOljmnIdKefWwlewgAsX30uM1ceBX28VDU4Zkc9PvdIhm0EGIZhGCZH5FRmfTSTDDgilcpPQCr1nbVcvF3wMpKJtskl9mULZjuvMPVcVs+RNR7sJ0JLl6Lmn89CoBwABGg8QAFn9UOZMIlxUW+lWKo145axrwJS6xCjL2TyeEbUL09f2+fc7ei3KBu/6Xhp3PQ+O/kauvF6tEQSYDaXlaLh6Drvc+TRssRSZOpQu/LdkbzOk0PV+BbOfvEF/UaPx+ceyXAGjmEYhmE8YlXClo0q4pjBQ1Ysa7n4Yu15cVIf1OKUYfNyrkxwaz/R+jhCPfchdHZ6rNHdFej683TE9vcqfWyHDkLE0oFIYpwf958+gGZDlsy4qJcpdSbGB3Vm3Mbsn1HJM5nVAYDI5utSBvIdfR2IbL4OALL/HHvslZSqO2pk87Xvs6M6ZjZ9mobMVXNZKZ7/ZBKu/XUcU3rj2F+xG0988Rpghcs58mBZYlnVEIsD0XbvGXUPzz2S4QCOYRiGYTxgLN9K7t4D6VJMDthscFHSl1S0g0Wfvmu5+HwHL/nCS6mXU5C6+Hq5kuFX8182ptvoiCfQOI4QHkrfHprRi9C8EHD5eybFxaGyBH7xBcIfZiv69trPmUzkBYjrBDye+KIPZ871IQxzad3eiQIPS5ROO/s60bR1bSp4SzIghtC0dW1uPtceAgjduNv3GPrWVNT32ZWUf6bBiyH42/zJJFz823TAPK0XuPjZQTweuAXhm3L73ScVmUok0HhA7RnMVTlwkcEBHMMwDMN4YKwoTeYNh4BDKhGvwc6PykSx9rx4yZY4BKm2Sob1+XoBko0OPyGiqouG+/rTd0xeDy+sUQI61di7oa4WHUF9gJX8nMkW9UmlzjRxvK/5TGpVEhstrEOqy6qV0jwyS9F3HjGLjAwHqXHfMQ+ISjLP6vucU2VYGZrgb8kpc6T9dktauoGbcvBcGuGhcKgOOOEcNO17FZ2H2tP9oLJryPDYYhEtygQO4BiGYRjGA26MvxkbHAIOWd9bEq8m4bmW9x9W3GZLHILUrjvuTAVvScSRIb25cR7mR7rR4fNh9bQpWDVtSnohHpii3GgI7Dst+uM6+zpNpcoy5dfkfWU0ntioK5MEgBIKovHERjS9+G/oCJqXx9UxeY9ZtrhWFHWxGeFayj9LplqYflsdN15jzcmATPaaJSXW4S0/R3jpf6jnkCiZJjPqRSpalAkcwDEMwzCMB1hpMkscFqKW/W1EmUm+j5KeF0scglTbPsI8LnitgqeEmt3qCAYQmToFOPYcRf3QENhXx+LyQEr9nGlLlRtsMmoywof6gH370VRRmlb57O1Vjg/6EfEnMOBL6/yVJBJo7OlVRHdyGOQ6lWPrGEGbEbGqSgS7zBnJWFUlAENQGqxAY+duhHuV+zfH9ussMkyv2a7E2imIzafi6giDVSgZhmEYxgOsNJklDkpwlsp7bvvexiJapUONiifgMJ95VOl0s6Ex4CM07XtV+cWgkth4oAclCX1mrUQINH70rlJO+OwPUkqmjZ+0o4SC+vvafSZfWINwb09K5bPxQA+aKkpRv20NmiZVYlnfAGqGYiAhUDMUQ2RfN8KHDkGq8pkFduXYUmze5+HkmCtWIzFeP9+J8UEcc8XqVFDa0dehKHwORRGZVI7mslIAQNOkSp2/IWB4zXYl1k4qki5Ei6IbNmDnFxdjx5zPYOcXFyO6YYPn1z8S4AwcwzAMw3iAlSZzgE1WzJUYA+Ma2/l880L5g3Kg0tk49VREDq43LdaNpDJ1hgxTOKBk55RSuw4lS9Z9QO196gPeuC91jvDe3cBg2vzd8TOpeX3NZaWITJ2cyrh1DEXxdEUIkYNHEG6z8G7LUVYn23JsT4buOcSu367piQZp6WzTpEqE+/ptS2OVkzsID9ll1J36QTdsQNu118A3qPaDtrej7dprdK+pWHAM4IjofgBnA+gSQsyT3P4NAFcBIAAHAXxXCPGOetvH6rE4gJjMSZxhGIZhig1WmswfeRdjGGPYzucH+VPpNJqRE9Llk1p0mTrD4jxlLn3HPCC6x/75ensQpolKZsoJzUJfyQjpC9IGxBCajqpFeOW7StmkjOjurEsqsynH9lR+mQHG4HB1dAGm/+ol3TUkK2m2DErVwM2pNDYr4SGHx+66/RYEB/X9oL7BIey6/RbUF9n3i5sSyv8G8GWb2z8CcIYQ4v8BuBHAvYbbvyCE+BwHbwzDMAzDuMHWjJfxjOV8ZmPuLENr0B7drTMjv2XvfpQkErq7O5YeJ88nCzJluM0cal63q4yQJc4llXam4NmUY3suv/SAsQxy1mttqLzzEcVnTgjE2tvRcd310vJDq+AzKQIjLY3VvuZszLadyrMlfXt2x0cyjhk4IcTLRDTT5vY/an7dCmCEm6swDMMwDMOMLApSDpdLYQyjIIqBpOx705Qp6PT7nF+jw/mkuM0cal53RhkhIxYllW48IwF9OfbCuoVo2taEVa+ssp2jfKrhGoPDCzYJjNcnriAGBtJKphqkvm0UROOgAECG0liLaz0b4SGbx+6rUDzrZMeLjVz3wH0HwEbN7wJACxEJAPcIIYzZuRREtALACgA4+uijczwshmEYhmGYkUm+y+FsyZVKp0wQxUD4iED4JJcBoovz6fCaOVRfd6Nh7gFJRig5nmgbYGFZIMv+ufGM1AZyXq6DfKrhGoPAKRb2ADKFUzc9wqnS2GFmY8NkLH+qW+dhNxBQji8swHiyIWcqlET0BSgB3FWawwuEECcCWAJgJRFZzo8Q4l4hxElCiJOmTZuWq2ExDMMwDMPkBLtyuGzIZzncsGFbvuixFE5yvuayUjTU1aJ+5gw0HD0DzfPOyqzMzkB4VhiR0yOoKasBgVBTVoPI6RFzRiip/hiaIT+RJPvnNUvm5TrIpxquMQjcb5GhslI4Dc8Ko+XcFrRe1IqWc1tGTL/wgm+vxgNnj8feCiABYG8F8MDZ47Hg26sLPTTP5CQDR0T1AH4BYIkQYn/yuBBij/qzi4jWAzgFwMu5eE6GYRiGYZjhIp9ZslFhDm+pADjDnbCIzflMSpF+IDLwAbDsRzkJDjyJEnkQ2fCaJXO6Doxltsv+Zhlebns547Jbq7JdYxnkw4sIl27Ul1GOFGVYL6XH4VlhYAVw00nFryCcdQBHREcD+A2AC4UQf9EcLwPgE0IcVP/fACB7YxGGYRiGYZhhxk05XKaMCnP4bNQDHc4nVYrM0dx7xkPfoLQfzCZLZncdyDYQnv7gaXO20AZtsFMxrgL9sX4MJYZS5zNuSCTv++EpdXi7egZmP/YqKqNx9IT8GFpxDo4vsLhQJpsqo0VBmISwqOVN3oHoEQCLAEwF8AmAGwAEAUAIcTcR/QLA1wDsUh8SE0KcRESzAKxXjwUAPCyEuNnNoE466STxxhtveHwpDMMwDMMw+aH+wXoISf8TgdB6UWtW5zYuRAFloe9lcT4iaH08N4IohvPVTwKExIIgF3Ofcwxz0HyCg2CHBrvroGlbkzS4qymrQcu5LY7Dkp1bhux8I/X6bHiiIas5KQaI6E2Zkr8bFcrzHW7/JwD/JDn+IYDPehkkwzAMwzDMSCSfWbJRYw6fK0EUw/mqLRbqdnPfvOk6NH24Hp0+oDoBNM46B+FFN2Y0DNdlekblzOhuhLf8HGGX/Xl218GqV1ZJH+O2zFaWQbY9nyYQbTq6DgN+fQBtyoDmOnh3wagoPc6QXKtQMgzDMAzDjDq8lsN5ZbSUdmWD254swH7umzddh8hH61NBR4cfiHykFIV5DeI8lem9sAbN4whNR9WiM+BHdSyOxgM9CEssBqywug6y3UBwG9RUl1WbAtFOC8lDXbBnCFyx4fvK/+uX580iY1SUHmdIzlQoGYZhGIZhRiuu1AqZjDGaRycDpeYPm93NvcZEvOmvT2DAZ8gY+QhNH66HFK0B+R3zdKbcXpQhm2PdiEydjI5gAIIIHcEAIlMnoznWnfnEqGSrOikLauZvj2PduhgeXRvDunUxfGGHXzmfwcIhacJteU6Z5YPqjWf3vmZLLpQ486Usm28ce+AKAffAMQzDMAzDjB2y6mcyZIDqZ86Q98wJgdZvvWv7WACK+Ipa9uil97Hh/nno8JuftyYu0PLtDJQ4DWSTyTJmEudvj+PS5wTGazzREuODqLvpZoTevBBavzujCihg6IGLVELuj0domHdKTvvUjHOwsG5hxkqcI7W3T0vGPXAMwzAMwzAMk0+y6meSZIw6guYlbnXC+bEAUtkj1C/3VKbXKQnejMezCcKyKbM19tdd+JIP4w2ZNd/gELruuBOhpXpLiHBfv/LYKVPQ6feZx21pIVGX0z61XChxasmnsmy+4RJKhmEYhmEYpqBY9S256mcymH43HuhBSUIfrZUkBBpnneP4WONxL2V61WVyY+vk8XyWE7pBa7A9uVcWzQKxjg5FgCQ4Qf/YIwItJ10vN+eW3D9pIZHV+2og14b3xSyCwgEcwzAMwzAMU1Cy6mcK1el+Dff1I7KvGzWxGEgI1MQFIsdaqFAaHms87qX30ek15DoAyYZAjTzYDNTUKIIrS/9DMWEHKT/tlDRt7p+LPrUkuQ64chlcDjdcQskwDMMwDMMUlKysFCQm4uEjAuGT/91Z/dGFAbnb0kWn1zCSMj5Vl1+GjuuuhxhIB5RUUoKqyy9TfvFqCWFx/1xaZGSiOmlXsppvZdl8wiImDMMwDMMwTHGTjQ/ZMHmYjTTj6eiGDei6407EOjoQqKlB1eWXIbR06bCPwy1eRUfc3D9fFge5wkrEhAM4hmEYhmEYhskzxaB6ONJxCri0txMREsLc61eogDkTWIWSYRiGYRiGYQpELssJxyp25azGANkqSVUMIiVOcADHMAzDMAzDMMNANlYAjD0ykRgZxSBS4gSrUDIMwzAMwzAMU9S4yawVi0iJExzAMQzDMAzDMAxT1Fhl1nzkc7SAKDa4hJJhGIZhGIZhmKLGyhZgtARtWjiAYxiGYRiGYRimqBlLIjEcwDEMwzAMwzAMU/SMFZEY7oFjGIZhGIZhGIYpEjiAYxiGYRiGYRiGKRI4gGMYhmEYhmGYDGn+sBkNTzSg/sF6NDzRgOYPmws9JGaUwz1wDMMwDMMwDJMBzR8265QPO/o6EPljBADGRC8WUxhcZeCI6H4i6iKidy1uJyL6DyL6gIhaiehEzW0XEdFO9d9FuRo4wzAMwzAMwxSSpm1NOtl6ABiID6BpW1OBRsSMBdyWUP43gC/b3L4EwGz13woAPwMAIpoM4AYApwI4BcANRDQp08EyDMMwDMMwzEihs6/T03GGyQWuAjghxMsAum3usgzA/wiFrQAqiagGwJkAfieE6BZCHADwO9gHggzDMAzDMAxTFFSXVXs6zjC5IFciJtMB7Nb83qYeszrOMAzDMAzDMEVN44mNKPGX6I6V+EvQeGJjgUbEjAVGjIgJEa2AUn6Jo48+usCjYRiGYRiGYRh7kkIlTdua0NnXieqyajSe2MgCJkxeyVUAtwfADM3vdeqxPQAWGY5vkp1ACHEvgHsB4KSTThI5GhfDMAzDMAzD5I3wrDAHbMywkqsSymcA/KOqRnkagKgQogPA8wAaiGiSKl7SoB5jGIZhGIZhGIZhPOIqA0dEj0DJpE0lojYoypJBABBC3A3gOQBnAfgAQD+Ai9XbuonoRgCvq6daI4SwE0NhGIZhGIZhGIZhLHAVwAkhzne4XQBYaXHb/QDu9z40hmEYhmEYhmEYRkuuSigZhmEYhmEYhmGYPMMBHMMwDMMwDMMwTJHAARzDMAzDMAzDMEyRQEr72siCiPYC2FXocUiYCmBfoQcxRuG5Lyw8/4WD576w8PwXFp7/wsFzX1h4/gvHSJr7Y4QQ04wHR2QAN1IhojeEECcVehxjEZ77wsLzXzh47gsLz39h4fkvHDz3hYXnv3AUw9xzCSXDMAzDMAzDMEyRwAEcwzAMwzAMwzBMkcABnDfuLfQAxjA894WF579w8NwXFp7/wsLzXzh47gsLz3/hGPFzzz1wDMMwDMMwDMMwRQJn4BiGYRiGYRiGYYoEDuAYhmEYhmEYhmGKBA7gXEBEXyaiPxPRB0R0daHHM9ohohlE9Acieo+IthNRo3o8QkR7iOht9d9ZhR7raISIPiai/1Xn+A312GQi+h0R7VR/Tir0OEcjRHSc5vp+m4h6iegyvvbzBxHdT0RdRPSu5pj0eieF/1D/FrQS0YmFG3nxYzH3txPR++r8rieiSvX4TCI6rPkM3F24kY8OLObf8ruGiFap1/6fiejMwox6dGAx949p5v1jInpbPc7Xfo6xWWcWzXc/98A5QER+AH8B8PcA2gC8DuB8IcR7BR3YKIaIagDUCCG2EdFEAG8C+AcAywEcEkL8uKADHOUQ0ccAThJC7NMcuw1AtxDiVnUTY5IQ4qpCjXEsoH737AFwKoCLwdd+XiCihQAOAfgfIcQ89Zj0elcXs/8K4Cwo70uTEOLUQo292LGY+wYALwohYkT0IwBQ534mgGeT92Oyx2L+I5B81xDRZwA8AuAUALUAfg/g00KI+LAOepQgm3vD7T8BEBVCrOFrP/fYrDO/hSL57ucMnDOnAPhACPGhEOIIgEcBLCvwmEY1QogOIcQ29f8HAewAML2woxrzLAPwoPr/B6F80TH5ZTGAvwohdhV6IKMZIcTLALoNh62u92VQFlxCCLEVQKW6EGAyQDb3QogWIURM/XUrgLphH9gYweLat2IZgEeFEINCiI8AfABlfcRkgN3cExFB2bB+ZFgHNYawWWcWzXc/B3DOTAewW/N7GziYGDbUnacTALyqHvoXNX19P5fx5Q0BoIWI3iSiFeqxo4QQHer/OwEcVZihjSnOg/4POF/7w4fV9c5/D4aXbwPYqPn9WCJ6i4heIqK/K9SgxgCy7xq+9oePvwPwiRBip+YYX/t5wrDOLJrvfg7gmBELEZUDeBLAZUKIXgA/A/ApAJ8D0AHgJwUc3mhmgRDiRABLAKxUSz1SCKXummuv8wgRjQPwFQC/Vg/xtV8g+HovDER0DYAYgF+phzoAHC2EOAHADwA8TEQVhRrfKIa/awrP+dBv3vG1nyck68wUI/27nwM4Z/YAmKH5vU49xuQRIgpC+VD9SgjxGwAQQnwihIgLIRIAfg4u38gLQog96s8uAOuhzPMnyXIB9WdX4UY4JlgCYJsQ4hOAr/0CYHW989+DYYCIvgXgbADfUBdRUEv39qv/fxPAXwF8umCDHKXYfNfwtT8MEFEAwFcBPJY8xtd+fpCtM1FE3/0cwDnzOoDZRHSsuit+HoBnCjymUY1a/30fgB1CiJ9qjmvrjc8B8K7xsUx2EFGZ2tALIioD0ABlnp8BcJF6t4sAPF2YEY4ZdDuwfO0PO1bX+zMA/lFVJDsNishAh+wETGYQ0ZcBXAngK0KIfs3xaaqwD4hoFoDZAD4szChHLzbfNc8AOI+IxhPRsVDm/7XhHt8Y4EsA3hdCtCUP8LWfe6zWmSii7/5AIZ+8GFCVsP4FwPMA/ADuF0JsL/CwRjvzAVwI4H+TMroAVgM4n4g+ByWl/TGASwozvFHNUQDWK99tCAB4WAjxWyJ6HcDjRPQdALugNFgzeUANnP8e+uv7Nr728wMRPQJgEYCpRNQG4AYAt0J+vT8HRYXsAwD9UNRBmQyxmPtVAMYD+J36PbRVCHEpgIUA1hDREIAEgEuFEG4FOBgJFvO/SPZdI4TYTkSPA3gPSmnrSlagzBzZ3Ash7oO59xngaz8fWK0zi+a7n20EGIZhGIZhGIZhigQuoWQYhmEYhmEYhikSOIBjGIZhGIZhGIYpEjiAYxiGYRiGYRiGKRI4gGMYhmEYhmEYhikSOIBjGIZhGIZhGIYpEjiAYxiGYYoeIjqk/pxJRBfk+NyrDb//MZfnZxiGYRgvcADHMAzDjCZmAvAUwBGRkyeqLoATQpzucUwMwzAMkzM4gGMYhmFGE7cC+DsiepuILiciPxHdTkSvE1ErEV0CAES0iIheIaJnoJgTg4ieIqI3iWg7Ea1Qj90KYIJ6vl+px5LZPlLP/S4R/S8RfV1z7k1E9AQRvU9EvyLVlZphGIZhssVp15FhGIZhiomrAfybEOJsAFADsagQ4mQiGg9gCxG1qPc9EcA8IcRH6u/fFkJ0E9EEAK8T0ZNCiKuJ6F+EEJ+TPNdXAXwOwGcBTFUf87J62wkA5gJoB7AFwHwAm3P/chmGYZixBmfgGIZhmNFMA4B/JKK3AbwKYAqA2eptr2mCNwD4PhG9A2ArgBma+1mxAMAjQoi4EOITAC8BOFlz7jYhRALA21BKOxmGYRgmazgDxzAMw4xmCMC/CiGe1x0kWgSgz/D7lwB8XgjRT0SbAJRk8byDmv/HwX9vGYZhmBzBGTiGYRhmNHEQwETN788D+C4RBQGAiD5NRGWSx4UAHFCDt+MBnKa5bSj5eAOvAPi62mc3DcBCAK/l5FUwDMMwjAW8I8gwDMOMJloBxNVSyP8G0ASlfHGbKiSyF8A/SB73WwCXEtEOAH+GUkaZ5F4A/CBNYAAAIABJREFUrUS0TQjxDc3x9QA+D+AdAALAlUKITjUAZBiGYZi8QEKIQo+BYRiGYRiGYRiGcQGXUDIMwzAMwzAMwxQJHMAxDMMwDMMwDMMUCRzAMQzDMCMGItpIRBfl+r4MwzAMM1rgHjiGYRgmK4jokObXUigS+nH190uEEL8a/lExDMMwzOiEAziGYRgmZxDRxwD+SQjxe8ltASFEbPhHVVzwPDEMwzB2cAklwzAMkxeIaBERtRHRVUTUCeABIppERM8S0V4iOqD+v07zmE1E9E/q/79FRJuJ6MfqfT8ioiUZ3vdYInqZiA4S0e+JaB0R/dJi3E5jnExEDxBRu3r7U5rblhHR20TUS0R/JaIvq8c/JqIvae4XST4/Ec0kIkFE3yGi/wPwonr810TUSURRdexzNY+fQEQ/IaJd6u2b1WPNRPSvhtfTSkTneH3/GIZhmJEJB3AMwzBMPqkGMBnAMQBWQPm784D6+9EADgP4L5vHnwrFl20qgNsA3Kf6uXm978NQTLanAIgAuNDmOZ3G+BCUUtG5AKoA3AEARHQKgP8BcAWASijG3h/bPI+RMwDMAXCm+vtGALPV59gGQFuK+mMAfwvgdCjzeyWABIAHAXwzeSci+iyA6QCaPYyDYRiGGcGwkTfDMAyTTxIAbhBCDKq/HwbwZPJGIroZwB9sHr9LCPFz9b4PArgLwFEAOt3el4jGATgZwGIhxBEAm4noGasnFELstxojEdUAWAJgihDigHqXl9Sf3wFwvxDid+rve2xel4yIEKJPM477NWOIADhARCEABwF8G8BpQojkc/xRvd8zAO4hotlCiJ1QAtXH1NfNMAzDjAI4A8cwDMPkk71CiIHkL0RUSkT3qKV/vQBeBlBJRH6Lx6cCNSFEv/rfco/3rQXQrTkGALutBuwwxhnquQ5IHjoDwF+tzuuC1JiIyE9Et6plmL1IZ/Kmqv9KZM+lzvVjAL5JRD4A50PJGDIMwzCjBA7gGIZhmHxiVMr6IYDjAJwqhKiAUmYIAFZlkbmgA8BkIirVHJthc3+7Me5Wz1UpedxuAJ+yOGcflLLLJNWS+2jn6gIAywB8CUAIwEzNGPYBGLB5rgcBfAPAYgD9Qog/WdyPYRiGKUI4gGMYhmGGk4lQyih7iGgygBvy/YRCiF0A3gAQIaJxRPR5AEszGaMQogNKb9pdqthJkIiSAd59AC4mosVE5COi6UR0vHrb2wDOU+9/EoBzHYY9EYodw34ogd8tmjEkANwP4KdEVKtm6z5PROPV2/8EpXT1J+DsG8MwzKiDAziGYRhmOLkTwAQoWaStAH47TM/7DQCfhxIQ3QSlzHDQ4r5OY7wQwBCA9wF0AbgMAIQQrwG4GIqoSRRKb9wx6mOug5IxOwDg36GIqtjxPwB2Qemje08dh5Z/A/C/AF7//+zdd3hc5Z3//feZPqMykkaS1Wx1S1juFWOKsRMwGFu0hSVkCfDkIdlATMmSAAng8NsrTzabLKSRfUivu6QiG5sSikkAU2xMDC6S1SyruEi2+vS5f3+c0WjUbNmSPJL9fV2XrvGcOWfmPgqR9fH3vr83cBz4Dwb+nf4rYA4wbKdNIYQQU5fsAyeEEOK8o2nas8B+pdSEVwBjQdO024C7lFIXx3osQgghxpdU4IQQQpzzNE1bomlaYXhq4xr09WXPneq6qSi81u8LwDOxHosQQojxJwFOCCHE+SAD2AZ0A98D/lUptSumI5oAmqZdCRwDjnDqaZpCCCGmIJlCKYQQQgghhBBThFTghBBCCCGEEGKKMMV6AMNJTU1VeXl5sR6GEEIIIYQQQsTEzp07W5VSaYOPT8oAl5eXx44dO2I9DCGEEEIIIYSICU3TDg53XKZQCiGEEEIIIcQUIQFOCCGEEEIIIaYICXBCCCGEEEIIMUVMyjVwQohzh9/vp7GxEY/HE+uhCCHEOctms5GTk4PZbI71UIQQE0wCnBBiQjU2NpKQkEBeXh6apsV6OEIIcc5RStHW1kZjYyP5+fmxHo4QYoLJFEohxITyeDy4XC4Jb0IIMUE0TcPlcslMByHOExLghBATTsKbEEJMLPk5K8Tp21K7hSv+eAVzfzmXK/54BVtqt8R6SKMiUyiFEEIIIYQQ55UttVvY+PZGPEG9ct3S08LGtzcCsLZgbQxHdmpSgRNCiJPIy8ujtbU11sMQ4qz4xS9+wT333BPrYQghxITq8Hbwrfe/FQlvfTxBD9/94LsxGtXoSQVOCDGpPLerif98qZLmdjdZSXYevLKEaxdkx3pYZ9/u38OrT0BHIzhzYPVjMPemmA0nLy+PHTt2kJqaGrMxnK4PP/yQ5uZmrr766lgP5Yxsqd3Cdz/4Lod7DpMRl8G9C++d9P8qHEsdmzdz9MmnCLS0YMrMJP3++3CuWzdu76+UQimFwTBx//YdDAYxGo0T9v5CnI+6fd3sO76PPa172NOmfx3qOjTi+Yd7Ws7i6M6MVOCEEJPGc7uaePjPH9HU7kYBTe1uHv7zRzy3q2lM79vT08PatWuZN28es2fP5tlnn2Xr1q2UlpayaNEiNmzYwDXXXANAW1sbV1xxBWVlZXz2s59FKTUOd3aadv8eNm+AjkOA0h83b9CPi1H78MMP2bp1a6yHcUb6pva09LSgUJGpPWNdn3HttdeyaNEiysrKeOaZZwD4+c9/zsyZM1m6dClvvfVW5NzNmzezbNkyFixYwCc+8QmOHDkCwMaNG/nMZz7DJZdcQm5uLn/+85/58pe/zJw5c1izZg1+v39MYzwTHZs30/LoYwSam0EpAs3NtDz6GB2bN4/pfevr6ykpKeG2224jPj6ewsJCbr/9dmbOnMmtt97KK6+8wooVKyguLua9994D4I033mD+/PnMnz+fBQsW0NXVxbZt27j00ktZu3YtJSUlfP7znycUCgEQHx/Pl770JebNm8f27dv5r//6L2bPns3s2bN56qmnIuMoLS3l1ltv5YILLuDGG2+kt7d3bN80Ic5Bvf5edh7Zya/2/IqHtj3Iuj+uYfn/LOfOl+7kOzu/w0cHX6e0q417PUZSAsFh3yMjGIO/90+TFpNfTk5h8eLFaseOHbEehhBiHOzbt48LLrgAgK9v3sPe5s4Rz93V0I4vGBpy3GI0sGBG0rDXzMpK5PF1ZScdw5/+9CdefPFFfvzjHwPQ0dHB7Nmz+dvf/kZ+fj633HILXV1dPP/882zYsIHU1FQee+wxtmzZwjXXXMOxY8fGt/L0wkNw+KORX298H4LeoceNVshZMvw1GXPgqm+e9GN7enq46aabaGxsJBgM8uijj5KQkMADDzxAXFwcK1asoLa2lueff562tjZuueUWmpqaWL58OX/961/ZuXPnsN+H+vp61qxZw4UXXsjbb7/NkiVLuOOOO3j88cc5evQov/3tb1m6dCnHjx/nzjvvpLa2FofDwTPPPMPcuXPZuHEjdXV11NbW0tDQwJNPPsk777zDCy+8QHZ2Nps3b8ZsNrNz504eeOABuru7SU1N5Re/+AWZmZmsXLmSZcuW8frrr9Pe3s5Pf/pTli1bRlFREW63m+zsbB5++GH27dtHfHw8//Zv/wbA7Nmzef755wFGNf7x9B/v/Qf7j+8f8fXdx3bjC/mGHLcYLMxNmzvsNaUppXxl6VdO+rnHjx8nJSUFt9vNkiVLeOmll1i+fDk7d+7E6XRy+eWXs2DBAn7wgx9w4sQJkpKS0DSNn/zkJ+zbt4/vfOc7bNy4kVdeeYXXX3+dvXv3snz5cv70pz9x1VVXcd111/GZz3yGa6+99vS+Iadw+BvfwLtv5O+X+x//QPmGfr80iwX7vHnDXmO9oJSMRx456efW19dTUFDA22+/TUZGBkVFRezatYuysjKWLFnCvHnz+OlPf8qmTZv4+c9/znPPPce6det46KGHWLFiBd3d3dhsNt58803WrFnD3r17yc3NZc2aNXzuc5/jxhtvRNM0nn32WW666SZ27tzJ7bffzjvvvINSimXLlvGb3/yG5ORk8vPzefPNN1mxYgV33nkns2bNivy33Cf6560Q57RQEPeJeiqb32XPsQ/Z217Nnt4WaoPd9CWbaYEAZV6f/uXzMcvrJzkuHRKzwZnDloMvszE1BU9UVd0WCrGx9QRrH2yOzX0NomnaTqXU4sHHZQqlEGLSGC68nez4aM2ZM4cvfelLfOUrX+Gaa64hISGBgoKCyH5Jt9xyS6Qa8be//Y0///nPAKxdu5bk5OQxffYZGS68nez4KL344otkZWWxZYtexRkuyPb5+te/zsUXXxwJsj/96U9P+t7V1dX84Q9/4Gc/+xlLlizhd7/7HW+++SabNm3iG9/4Bs899xyPP/44CxYs4LnnnuO1117jtttu48MPPwSgpqZmSCD41re+xXXXXceWLVtYu3YtX/ziF6moqCAtLY1nn32Wr371q/zsZz8DIBAI8N5777F161a+/vWv88orr/DEE0+wY8cOfvCDHwB65Wgs4z+bhgtvJzs+Wt/73vf4y1/+AsChQ4f49a9/zcqVK0lLSwPg5ptvpqqqCtD3cLz55ptpaWnB5/MN2F/sqquuwmw2M2fOHILBIGvWrAH0/6/V19ePaYxnYrjwdrLjpyM3N5cLL7yQ+vp68vPzmTNnDgBlZWWsXr0aTdMG3PeKFSt44IEHuPXWW7n++uvJyckBYOnSpRQUFAD6z5w333yTG2+8EaPRyA033ADAm2++yXXXXUdcXBwA119/PX//+99Zv34906dPZ8WKFQB8+tOf5nvf+96QACfEOUEp8LTrSwg6mqDjEN72gxxor2ZPTyN7/O3s0QLUmE0Ew91XXYEgswMhrjTEUWZLZ5Yzn9SkAnBO15chOLMhIQtMlsjHrH1yNrS28d3kJA6bjGQEgtx7op21Jles7nzUJMAJIc6aU1XKVnzzNZra3UOOZyfZefZzy8/4c2fOnMkHH3zA1q1b+drXvsbq1avP+L3GxSkqZTw5Ozx9chDndLjjzKfQTWSQHc0vtm+++SZ/+tOfAFi1ahVtbW10duoV2VMFgsrKSj7++GM++clPAvpaoczMzMjnX3/99QAsWrTojALEaMY/nk5VKbvij1fQMsw6jMy4TH6+5udn9Jnbtm3jlVdeYfv27TgcDlauXElpaSl79+4d9vwvfvGLPPDAA6xfv55t27YNCMBWqxUAg8GA2WyOtLA3GAwEAoEzGt/JnKpSdmDVan365CCmrCxyf/2rMX12X5iC/vsG/V6jvw999/3QQw+xdu1atm7dyooVK3jppZeAoW3++57bbLZRrXsb6Xohphy/Bzqb9K+OxiFf/s4mDuBlj9XCHouVvVYLByxmApoGBki2mZllyWRlQi5lqWWUZSwhPX02mn34mTojWv0YazdvYG1j1M8Osx2ufGx873cCSIATQkwaD15ZwsN//gi3v39eut1s5MErS8b0vs3NzaSkpPDpT3+apKQkvv/971NbW0t9fT15eXk8++yzkXMvvfRSfve73/G1r32NF154gRMnTozps8/I6sf0NW/+qDBrtuvHx2Aig+xofrEdzfUjBQKlFGVlZWzfvv2k1xuNxhE/z2QyRdYdAQM2PR7r+MfbvQvvHdDeGsBmtHHvwnvP+D07OjpITk7G4XCwf/9+3nnnHdxuN2+88QZtbW0kJibyhz/8gXnhKYcdHR1kZ+sNhH75y1+O7YYmWPr999Hy6GOoqP9NNZuN9PvvO+tjqampYc6cOcyZM4f333+f/fv3k5SUxHvvvUddXR25ubk8++yz3HXXXUOuveSSS7j99tt56KGHUErxl7/8hV//+tcANDQ0sH37dpYvX87vfvc7Lr744rN9a0KcWigEPUcjlTM6GsNB7VB/Ra3naOT0AFBjNrM30cWeuAT2JBqoTEjFj/6zOtEUR1lKCbenL6AsdTZlrjIy4jLG5x8w+hqDTaKGYaMlAU4IMWn0dZsc7y6UH330EQ8++GAkHPzoRz+ipaWFNWvWEBcXx5Il/evKHn/8cW655RbKysq46KKLmDFjxpg++4xM0F8qsQ6yl1xyCb/97W959NFH2bZtG6mpqSQmJo7q2pKSEo4dOxb5Bdbv91NVVUVZ2chV3YSEBLq6uiLP8/LyImvePvjgA+rq6sZ2QxOor9vkeHahXLNmDf/93//NBRdcQElJCRdeeCGZmZls3LiR5cuXk5SUxPz58yPnb9y4kX/6p38iOTmZVatWTervV1+3yYnsQjlaTz31FK+//joGg4GysjKuuuoqtm/fzpIlS7jnnnuorq7m8ssv57rrrhty7cKFC7n99tsjay4/+9nPsmDBgkgzlR/+8IeR9W//+q//erZvTQjwdEZVzg6Fg1q4etYZDmihQY2MzHHgzCGYmEVdWgF7LGb2KA97fMep7GnGG54aHm82M8s1i0+7ypiVOosyVxk58TkTW22ee9OUCGyDSYATQkwq1y7IHvdtA6688kquvPLKAce6u7vZv38/SinuvvtuFi/W1wi7XC5efvnlcf38MzIBf6nEOshu3LiRO++8k7lz5+JwOE6rqmOxWPjjH//Ihg0b6OjoIBAIcN999500wF1++eV885vfZP78+Tz88MPccMMN/OpXv6KsrIxly5Yxc+bMMd/TRFpbsHZctw2wWq288MILQ46vXLmSO+64Y8jx8vJyysvLhxwfvJawu7t7xNfOJue6deMe2PLy8vj444+H/Bn0PfOGO+/73//+sO+VmJgY+QeEaNHfP4AHHniABx54YMh5JpOJ3/zmN6d9D0KMWtAPnc2DAllj1Fq0RvB2DLxGM0Jilt4YJHsxzLoWnDmEErM4aDaxx9fOnq569rbtZd/xfbg7awCwm+zMcs3i5umXUuYqoyy1jOkJ0zFo0iB/NKQLpRBiQk3WrmhPPvkkv/zlL/H5fCxYsIAf//jHOByOWA/rrOvu7iY+Pj4SZIuLi7n//vtjPSwhzinbtm3j29/+9rABbjTq6+u55pprBgTI4UzWn7diElAKetsGVc0ODVyH1nUYGJQL7Cl6A5C+ZiDhDo7682yIz0AZjBzqOsSetj3sbdsbeezx9wD69O/SlFJ9vZpL/8pNzMVokD0PT2WkLpQS4IQQE0p+oZjcJMgKce6Qn7fnMV+PHsyGVM2i1qEFPAOvMdmGBjJnTjiohTs3WuIGXKKUormnecCm2Hvb9tLl06erWwwWSlJKmOWaFamsFTgLMBlk0t+ZkG0EhBBCDHH//fePuuLW1tY2bOOTV199FZdr8rddFkKIKSkYgO7DwzQGiVqH5j4+6CINEjL0MJY5F0quGthS3zkdHC44yfoypRRHeg7rQa21v7rW7m0HwGQwMTN5Jmvy1kTCWmFSIWaDeQK/GQIkwAkhzgKllLS8Pge4XK7Ivm1CiMllMs6oEqOgFLhPjNhSX2+33wwqOPA6q7O/WpazpL+K1ldRS8wC4+kFqWO9xyJVtb7A1uZpA8CoGSlKKmLVjFWRaZDFycVYjJZTvKuYCBLghBATymaz0dbWhsvlkhAnhBATQClFW1sbNpst1kMRg/XteTakahbVGCS8VizCYO6vkuWu6A9qkemN2WAbXQffkbS52yIVtT1te9jbupejbr29v0EzUOAs4OLsiylLLWOWaxYlySXYTPLf12QhAU4IMaFycnJobGzk2LFjsR6KEEKcs2w2Gzk5ObEexvklsufZ4KpZ1J97hvm7Ly5dD2JpM6FodVRzkPAUx7g0MIxfN8Z2Tzt72/ay9/jeyNq1lp4WADQ08px5LM1cGpkGWZJcgsMsa6EnMwlwQogJZTabyc/Pj/UwhBBCiNPj6Rx+I+pIB8fmoXueWeL7A1nG3GGag2SDyTphQ+70dbKvbV9kGuSetj00dTdFXp+RMIP5afO59YJbmeWaxQUpFxBviZ+w8YiJIQFOCCGEEEKcXwI+6GoeuaV+R9MIe55l64Fs+tKhlTNnNtiSTtoYZDz1+Hv6w1q4G+TBzoOR17PjsylzlXFTyU2Uucq4wHUBiZaxTb0Uk4MEOCGEEEIIMfns/j28+oQeqJw5sPoxmHvTqa9TCnpaB7XUH9QYZLg9zxwuPZAl50PeJVGVs3BzkIQMiNHeZb3+XipPVA5o31/fUY8K30NGXAZlrjLKC8spc+nr1pJsSTEZq5h4EuCEEEIIIcTksvv3sHkD+N36845D+nOA0rUnb6k/7J5n9v5AVrQ6vM/ZoMYglsmx7ssT8FB1omrANMjajlpCKgRAuj2dWa5ZXJV/VSSspdpTYzxqcTZJgBNCCCGEEJPLq1/vD299/G74y+cgHGQiNAPE9+15Ng9Kr+6f1tg3xdGRctamNp4OX9DHgRMHBkyDrD5RTUAFAEixpVDmKuMTuZ+IhLV0R3qMRy1iTQKcEEIIIYSIHaX0ClrTTmjaAU0f6M+HPTcEqx8f2BwkIfO09zyLBX/IT017zYBpkFUnqgiE9LDmtDopc5Vxx+w7Ih0hpzmmyRY8E6hj82aOPvkUgZYWTJmZpN9/H85162I9rFOSACeEEEIIIc4edzs07+oPa007ofuI/prRCplz9W6Ovu6h1zqnwyUPnN3xnoFAKEBtR62+11p4U+z9x/fjC/kASDAnMCt1FrfNuo1ZrlmUucrIjs+WsHYWdWzeTMujj6E8+nTbQHMzLY8+BjDpQ5wEOCGEEEIIMTECPjjycbi6Fv5qrep/3VUMhasge5H+NW02mCxD18ABmO16I5NJJhgKcrDzYKSqtqd1D/uP78cT1IOBw+RglmsWt5TeQllqGWWuMnIScjBo47fXmxhIBQKEenoIdXcT7O4h1NNNqLs7/LybUHcPrU8/HQlvkes8Ho4++ZQEOCGEEEIIcR5QCo7X9ge1xh1weDcE9aoTcemQs1jvJJm9GLIWgH2ETol93SbPpAvlBAqpEIe6Dg2YBrmvbR+9gV4A7CY7pSml3DjzRr2yllpGXmKehLVRCvl8kaAVHbb6Aljked/rPcM/V273qT9sBIGWlnG8o4khAU4IIYQQQpy+ntaBYa1pJ3ja9dfMDj2gLfucHtayF+kh7HSmCM69KaaBTSlFY3ej3lykdW+kyUi3X5/aaTVaKUkpobyov3V/vjMfk+H8+vVaKYVyu08etkYMYD0DApvy+0/9gUYjxvh4DFFfRlcKlhkzoo7F6efEDXre9xUXT+26dcOGNVNm5gR8l8bX+fVfmBBCCCGEOH1+N7T8Y2Bgaw9vGq0ZIH0WzFrfH9bSSsE4dX7NVEpxuOfwgGmQe9r20OnrBMBkMFGSXMLV+VdHpkEWJBVgNkz+5ikjUcEgod7e0VW7ek5e/SIUOuXnaVZrf5gKBytzZubJw1b4mDE+LhK+NKt1XNYKpj9w/4A1cACazUb6/feN+b0n2tT5f5YQQgghhJh4oaC+Ti26snZkD6ig/rpzOmQvhCWf1cNa1nywxMV2zKdBKcXR3qORilrf43HPcQBMmoni5GI+mfvJyDTI4qRiLEZLjEeuU36/HqaiqlenClv6sYHVrlBv76g+T3M4MMbFDahuWVJdJwlcUc8TEjDExWGMi0OzTI7vX5++dW5TsQulppQ69Vln2eLFi9WOHTtiPQwhhBBCiHNfZ/PAsNb8Ifi69NesTj2s9TUZyV4ECdNiO97T1OpujXSD7KuwtbpbATBoBgqTCvW2/eGvmSkzsRqt4zoGpRSqb31XV1d/mDqDapfyek/9gZrWP70wPi4qbA2sgJ0ygMXFoRmN4/q9EKOnadpOpdTiwcfHVIHTNG0N8F3ACPxEKfXNQa/fDvwn0BQ+9AOl1E/G8plCCCGEEOIMeTqh5cP+sNb0AXQ1668ZzJAxG+b9sx7UchZDSiEYYtOA40z26DrhORGpqvUFtiO9+hYFGhr5znyWZy6PTIMsSSnBbrKP+H5KKVRv74idDEcTuPrWejGa9V0m06D1XXGY0tKw5OePem2XMT4OzeGQLQnOYWcc4DRNMwI/BD4JNALva5q2SSm1d9Cpzyql7hnDGIUQQgghxOkK+uHo3nBY+0Dfd+1YJRCefZVSAHkX94e1abPBbIvpkPt0bN5M49e+isGrh55AczONX/sq0D/1rcPbMWAK5J7WPTT36GFUCylKrDO41H4BpelrKDJnMcOYhsUTIHi4m1B1D6HuN+nsfpETPSefbsgoZqtpNpte7YqaamjOzh6++jVStSs+Hs1ikeAlTmksFbilQLVSqhZA07T/BcqBwQFOCCGEEEJMJKX0piLRYa3lHxAIN2hwuPQGI2XXQ84iyFoIjpTYjjlMKQV+PyGPh5Dbg/K4afjG/8HkHVixMnj91D32CPtee4au9qMEu7uweyHBB1f6zfxTwIzDZ8XsDqB5vEBd+Et3bJjPNjgc/eEqIR5jXDym9PTTqnYZ4uLQzFO3mYmYesYS4LKBQ1HPG4Flw5x3g6ZplwJVwP1KqUPDnIOmaXcBdwHMmDFjDMMSQgghhDjH9R4PB7WoDbJ79XVdmGyQOR8W/z96WMteBEm5p9fCP0xFgpUbFRWwQh6v/uj2EPIMei3qmL+3h0BvDwF3L0F3r37c7UF5vOD1onn9GLw+tNDAKtdIv6Ba3QHmvliN32ZCxcVjTkjElpSCJSFpFN0MBwUwh0PWd4kpaaK7UG4G/kcp5dU07XPAL4FVw52olHoGeAb0JiYTPC4hhBBCiKnB74HDH0WFtR2o1lpCQQ0VMBByFqFcFxPKnUkosQBln0bIG9DD1MceQju26QHL40G5w49RQSvk9hDsC1huN8rr1Vure3xoweBpDzdoAK8ZvCbwRT+awWvS8NnAmzDoNZOBoMUINgvKamX91uM4h9mLuTUBLn5vr0wzFOe1sQS4JmB61PMc+puVAKCUaot6+hPgW2P4PCGEEEKISU0Fg8NWqfTnw1ey+qpS+qObUEcroY6jqM7jhHo69fMDEApohEJGVECDUFbUp3YB74W/RhbSwG8x4DfJTaeaAAAgAElEQVRrkYDlMSk8phBes6YHqeTBocuA1ww+UziAmUFZLRhsNn3dl82GyRGH0e7A7IjDZI/Hbo/HbrLjMDn0R7MDh8lBYvjPg1+zm+zYTfYBG2A/rK3gpueOYwv0j99jgq1XpnCJhDdxnhtLgHsfKNY0LR89uP0z8KnoEzRNy1RK9W1xvh7YN4bPE0IIIcQkciZdAmNFBYN6EPJ69ZA0wpQ/PWB5h1SpIpWr8LV9Fa3Br6nRdBocPDYNAmaNgAn8phB+kx6gvBYNj13D7bTiMSncJhUJUT6TIerPgx7DAc1gs2Ow2TA6HJjscVitDuxmx4ghymFy4Ip+zTz0HJvRhtEw8dMOL77zEX4e+Co3vubF1QltifDHVVauvPORCf9sISa7Mw5wSqmApmn3AC+hbyPwM6XUHk3TngB2KKU2ARs0TVsPBIDjwO3jMGYhhBBCxFjH5s20PPqYPtUOvUtgy6OPAZxWiFOhEMrrHRCOhlSp3B6U1zM0TA0OWF7PkKAVCVY+3xndZ9BqJmQxEbAaCZiN+C0aPrMWCUseh8JtDOE2heg1GukxKtym0MjTB80MCF4Bk8JsUNgVOAxmPWBZk7A7XDgcadgHBarUYULXcM9tJhsGLTbt/8fD2oK1cBf8++LvcrjnMBlxGdy78F79uBDnOdnIWwghhBCn7cCqVQSaW4YcN8TF4SwvH1Cl6g9aURWsvsfRbEo8DGW1oKxmQlYzQYuJgMVIwGzAbzHoAStqiqDbFMJtDNJrDNJjDNBj8NNt8NNrDoaDmDZsJctvItL4w6SZsJvtJw1NfVMF7SY7DqMNu7sdR2cz9hMNOFprsJ84iCMUxK5COBJzcGQuxJK9GC1nCWTOBfPI+5EJIc4/E7KRtxBCCCHOfcGODrxVVXiqqvBWHcBbWYm/uYXhViIFe3o4sWUzWCyEwgErZDURMBsJxBvxp9jxmR16wDIqPOb+ClaPMUCvMUB3OGB1Grx0Gbx4TGpAJctvAqWFAG/4q5/ZYD5pdcphdpBispMzikpW9J/NxpO0iVcKOhr11v19m2M37wJ/r/66PVnvBFlyrd7KP3shxKWO1/88QojzjAQ4IYQQQgCgfD68dXV4q6r0wFZZibfqAIHDh/tPSojHmzuNkAXsw8xKbE2Eu7/gBoZpIRjFarQOCk1xkWmCdpOddJOD3NMIWH3XmQ1nYT8udzs0f9Af1hp3QM9R/TWjVa+mLbytP6ylFJxRC38hhBiOBDghhBDiPKOUItDSMqCi5q2qwltXB4Fw2z+TicCMDNpnuji0IpW9ST28H3+UZrsbtIOs2KPxua1qSJfA363U+PcV/z5y0Ap3HDwbjTDGRcAHRz7qD2pNO6HtQP/rqTOhaLVeYcteBNNmg8kSu/EKIc55EuCEEEKIc1iwqwvvgQMDKmreqipCXV2Rc9S0VLqmp9ByZQlVKV52xrdSmdBF0HgYOIzL5qIouYhVSZdRnFxMcVIxDzge4P+niU9tU5Eugb9bqVG7NIfyovLY3fBYKAXHa/WQ1hfWDu+GYLjUGJcOOYth3j+HA9tCsDljO2YhxHlHApwQQghxDlB+P776er2qVlkVmQbpb27uPynOgTs3nWNLc6hJDbI7oZ1dCW302tqBdhwmB0XJRVyQtIj14aBWlFxEii1lyOfdt+g+Nno38laZJ3LMZrSxceG9Z+Fux0lP68Cw1rQTPO36a2YHZC2AZZ/Xw1rOYkjMlqmQQoiYkwAnhBBCTCFKKQJHj+oBrbIyMg3SV1PTvweZ0Yg/J50TeQkcXDqTPc5udsa3ciTBC1ojJoOJfGc+xUkX8v9GBbXMuMxRt57va+f+3Q+mSJt3X69eTYsOa+0H9dc0A6TPglnl/WEttQSM8muSEGLykW0EhBBCiEkq1NOD98ABPFEVNU9VFaGOjv5zUpPpnJ5M0zQTlckedsYfoy7JR8CkV4py4nMoTi6mKKmImckzKUoqIteZe3aafcRKKAitVQPD2pE9oIL6684Z+vTHvrCWOQ8scbEdsxBCDCLbCAghhBCTlAoE8DU0DKioeSsr8Tc29p9jt9E7I42jC9KodiXzj4QT7EnqpsfeBXThsrkoTi5mWdIq/iUc1AqTCnGYHbG7sbOls3lgWGv+EHzhNX5Wpx7WLr5fD2tZCyFhWmzHK4QQYyABTgghhDhLlFIEW1sHVdQq8VXXoHzhRhkGA77sVNqy46mfn89Hzk7+kdhOq9OP0lqIM8dRlFREUdIyVp1indo5ydOp77HWF9aadkJXeENxgxky5uhNRnIW6xW2lEIwjG5aqBBCTAUS4IQQQogJEOrtxVtd3b8Bdji0BU+ciJwTTEmkIyeJxkuz2Zfcy4cJx2lwhfCbjmMydFLgLKAoaQ6fCge14uRiMuMy0c6XRhpBvz71MTqsHasEwss/Ugoh75L+sJYxB0zWmA5ZCCEmmgQ4IYQQYgxUMKhPfwy35/dW6dMg/Q2H9Lb0gLJZ6Jnu4nCZkwMuOx8mHKfa5afL0YuGm5yEHIqS5rI6KqjNSJxxbq9TG0wpOFE/MKy1/AMC4S6XjlQ9pM2+QZ8SmbUQHOdJ1VEIIaJIgBNCCCFGKdDW1j/1sW8aZHU1yqOHDGXQ8GWk0JoVR+0FWXzk7GBfkpujyUGUdoxUeypFSUXMTr6S68JBrcBZcH6sUxus97i+OXZT1Nq13jb9NZMNMufDks+Gm40shqQZ0sJfCCGQACeEEEIMEfJ48FbXRFr1ew9U4ak6QLC1NXJOICme9uxEDi1PZW9SDx85O2lMBZ+5gzhzgKKkIoqTL+GOcPfHwqTC82ed2mB+Dxz+aGBYO14bflGDtFIouSq8OfZiSL8AjOdR9VEIIU6DBDghhBDnLRUK4W9sDFfUKiPTIH0HD0IopJ9jMdOdk0zzTBtVy1L5R2IH9WkhOuM8mAwBCpwFFCcvYl1Um/7zZp3a7t/Dq09ARyM4c2D1YzD7RmirHhjWDn8MofAedYnZelVt4W16WMuaD9aE2N6HEEJMIbIPnBBCiPNC4MSJSHt+vaJWhfdANaq3FwClaXinOTma6aA2NcBHiZ1Uu/wcTgYMBnISciIdH4vDa9XOu3Vq0Xb/HjZtgIC7/5hmAIMVguFjlgTIXtBfWcteBImZsRmvEEJMMbIPnBBCiPNCyOfDV1MzoKLmrawkcOxY5JxAgoPjOQk0LE5gj1Njf4qHxlTwWrpJtdsoTiqhKLmIT57P69SUAvcJ6DgE7Yf0KlvHof7nLR+CCg26JgRGA1zztB7WUmdKC38hhBhnEuCEEEJMSUop/E3NeKsqBzQW8dXXQzAIQMhsoivbSXO+if2LnOxxdtGQrtEe5yXeYtH3U0su4qZwUCtKKiLZlhzbGztbggHoataDWfuh/nAWed4I/p6B15js+lTJpOlDw1sfXy8suHXixy+EEOcpCXBCCCEmvWBHR/9+apFpkAcI9fQHDHd6IkcybNRc5uTjxE7q0xQtKQqjqVffTy25iFXhoFacVExGXMa5vU7N2xWumjVCe0NUBS0c0Lqah4YwR6oe0NJmQtFqcE7vD2zO6eBw9XeCfHK2/n6DOXMm/t6EEOI8JgFOCCHEpKF8Prx1dVEVNX0aZODw4cg5gXgbbVnx1M+3sccZoMYV4FAaeK1upif0tekv5trkImYmzWR64vRzb51aKAQ9R0cOZx2HwNM+8BqDSW8g4pwO+ZfoQSsS0Gbor1lOY5ro6sdg8wbwR62BM9v140IIISaMBDghhBBnnVKKQEvLwIpaVRXeujoIBAAImYx0ZibQmGNk/2w7VSleDqZrnIj3k+Ywh9v0F3NRuPtjvjP/3Fmn5vdAZ9PI6886myDoG3iNNbE/kM1YFhXQpusVtPhpYDCO3xjn3qQ/Du5C2XdcCCHEhJAulEIIISZUsKsL74EDQ1r1h7q6Iue4XfEczrRyIMXLvqReDqZrtKSA3ZYQCWrRj1N6nVp0c5CR1p/1HB10kQYJmVHTGQeFM2cO2JwxuR0hhBATQ7pQCiGEmFDK78dXX69X1SqrItMg/c3NkXMCDgutWXHUztLYm2zkYBo0pELAEaTAmUFxcjFLkor41FRepxYMQFdLVCAbZorjkOYgtv7qWcma/nDWF9gSssBkic39CCGEmFQkwAkhhDgtSikCR49G2vP3TYP01dSg/PpmzSGjgY6MeA6la+wrMVObGqQhTeN4YojpicmRStoVUfupmQxT5K8kb/fQKY3RAa2zGVRw4DUOlx7IXEVQuGro+rPo5iBCCCHESUyRvy2FEELEQqinB++BA3iiKmqeqipCHR2Rc3pTHLRMM1O11MiBlCAN6RpNLkiJj4sEtevDQa0gqQC7yR7DOzqFUAh6joUDWcPAlvp9z90nBl5jMEFiFjhnQO6KoVMcnTmn1xxECCGEOAkJcEIIcQ7r2LyZo08+RaClBVNmJun334dz3boh56lAAF9Dw4CKmreyEn9jY+ScgM3M0Uw7tTMDVCYbaEjTaEgDLdESCWqX9q1VSyomyZZ0Nm91dALeYTo2RoWzjiYIegdeY0nob6Ofs7T/z33hLCFjfJuDCCGEECchAU4IIc5RHZs30/i1r2Lw6tMaA83NNH7tqwQ7u7Dk5kZV1CrxVdegfHpXQ2XQaE93cDBdY3+hkYNpioY0jfZkI4XJMyhKKmJWcjHrw90fpzmmTY51apHmII0jrz/rPjLoIk0PYM4cyJwPpdfoUxqjpzjaJ2EQFUIIcd6SLpRCCHGO2n3JcszH2k96Tm+SjaZ0E1UpXn2dWrpGi0sjMyV3SPfHGQkxXqcWaQ5ykvVnvu6B15hs4TA2TNdG53R97zNpDiKEEGISki6UQghxjtKbihzDW7kfz/5KvPv346msxDRCeFPA1z+lT4F0uFIoStanPF6RrAe1AmeM1qlFmoMMt/7s0PDNQewpeiBzFUHB5YPa7M+AuFRpDiKEEOKcIgFOCCGmEOXz4a2txbN/P979lXgq9cfgif7GGqasLLz5GXgaIc479D1aE+HBu35JUVLR2VunppTeHGS4Pc/6ng9uDqIZ9QpZ0nTIvWhgW/1Ic5C4szN+IYQQYpKQACeEEJNU4PhxvZq2v7K/ulZbC+FW/ZrVirW4mPjVq7CVlNKdm8pLpkqeO/wyDV27udhl4K6tIWyB/vf0mOCFK1L4/zKGzMgY42C9UdWz4TaoPllzkBzIWdI/rbHvWEKmNAcRQgghBpEAJ4QQMaYCAX0D7Oigtn8/gWPHIueY0tOxlpYQf+mlWEtLsJWWYsnNxa18vNLwCpuqN/Fu3bsALM1YyufmfY7A8gA/NzzBja95cXVCWyL8cZWVK+985DQHqMDTPmi92aD1Z0OagwDxGXoYy5ynNwcZvP7M5pTpjUIIIcRpkgAnhBBnUbCjA09l5YDpj97qapQ3XJ0ym7EWFhJ30UVYS0uxlZZgLS3FlJwceY+QCrHzyE4q3vk5fz34V3oDveTE53D3/LtZV7iO7PjsyLnWNbv495l/4bABMkJwb8E61hasHTSoAHQfHtpSPzqgDW4OYrT2T2cs/qS+3ix6/VliNpisE/VtFEIIIc5bEuCEEGICqFAIf0MDnqig5qncT6C5JXKO0eXCVlJC8q236kGtpARrfj6aZfiuiIe6DrG5ZjObajbR1N1EnDmONflrKC8sZ0H6gqGt/Hf/nrVv/Zi1fnf/saYfQUs1WBP6A1pn0/DNQZw54CqEgsuGrj+LS5PqmRBCCBEDEuCEEGKMgt09+p5q0V0gDxxA9fbqJxiNWAvycSxchO1TJVhL9MqaKS3tlO/d4+/h5fqX2VSziR1HdqChsSxzGfcsuIfVM1YP3y0yFITDu2Hrv0F0eAMI+qFya3/FLHf50Bb7idlgjR+H74wQQgghxpsEOCGEGCWlFP6mpqjGIpV4KivxNzREzjE4ndhKSki68QZsJaVYS0uwFhVhsI5+OmFIhXj/8PtUVFfwSsMruANuchNz2bBgA+sK15ERlzF4YHC8Fmpfh9o3oO5v+pq1EWlw/0enefdCCCGEmAwkwAkhxDBCbjfeAwei2vXrgS3UHV4LpmlYcnOxzZpF0vXXYS3RG4uYMjKGTmUcpYbOBipqKthcs5mWnhbizfGsLVhLeWE589LmDXzfriN6UKvdBnVv6OvUABJz9IYhBZfBXx+HruahH+TMOaPxCSGEECL2JMAJIc5rSikCR44M2VfNd/AghEIAGOLisJaU4Fy/LjL90VpcjMHhGPPnd/m6eLn+ZSpqKth1dBcGzcDyzOXcv+h+Lp9+OTaTTT/R2wX1b+lhrXYbHN2rH7clQf6lcPF9+kbWKQUD16Zt3jBwGqXZDqsfG/O4hRBCCBEbEuCEEOeNkM+Hr7p6SLv+YEdH5BxzTg7W0hISr7460q7fnJ2NZjCM2ziCoSDvHn6XiuoKXmt4DU/QQ74zn/sW3sc1BdcwLW4aBHzQtEMPa7XboGknhAJgssGMC2HuTZB/md6if6S90ubepD+++oTerMSZo4e3vuNCCCGEmHI0pVSsxzDE4sWL1Y4dO2I9DCHEFBZobR0S1Lx1dRDQd7XWbDasM2diKymJBDVrSQnG+Ilr3lHXUcemmk1srtnMkd4jJFgSuDr/asoLy5mdMgvt2N5wYHsDDr4N/h7QDJC1QA9rBSth+jIw2yZsjEIIIYSYHDRN26mUWjz4uFTghBBTmvL78dbV6Q1FotarBVtbI+eYMjOxlZQQv3qVHthKSrHkzkAzjlC5Gkedvk5erHuRipoKdh/bjUEzsCJrBQ8ueZCV8flYD26Hbf+lT43sbdMvchXD/E/pgS3vYrAnTfg4hRBCCDE1jCnAaZq2BvguYAR+opT65gjn3QD8EViilJLSmhDijATb2wdU1TyV+/EdqEb5/QBoFgvWoiLiL700vK9aKbaSmRiTzm4ACoaCbG/ZHpki6Qv5KEoq4ktzPs9aLZ60Qzuh4stwol6/ID4Dij6pNx7Jvwyc2Sd9fyGEEEKcv844wGmaZgR+CHwSaATe1zRtk1Jq76DzEoB7gXfHMlAhxPlDBYP4Dh7U2/VXVoUfKwkcPhw5x5iWiq2klPjPXBRpLGLJy0Mzm2M27pr2GipqKni+5nmOuY/htCRyQ/pSygNGZh3ahbbrEf1Ea6JeWbvwC3qVLXWmbIothBBCiFEZSwVuKVCtlKoF0DTtf4FyYO+g8/4P8B/Ag2P4LCHEOSrY1RWe/hi1Xu3AAZTHo59gMmEtKMCxdElkXzVbaSkmlyu2Aw/r8HbwQt0LVFRX8HHbxxg1A5fYsigPubj0wMdYQh+D0aKvXVv1Nchfqa9pM8oMdiGEEEKcvrH8BpENHIp63ggsiz5B07SFwHSl1BZN004a4DRNuwu4C2DGjBljGJYQYjJSoRD+xsaB+6rt34+/qSlyjjEpCWtpKck334y1NFxVKyzEYLHEcORDBUIB3m5+m+eqn2Nbw+v4VYCZWHmwvZerO46TGjoImXPhwn/VK2wzloNl7FsOCCGEEEJM2D8Ba5pmAP4LuH005yulngGeAb0L5USNSwgx8UK9vXirqiLr1Lz7K/FWVRHq6dFPMBiw5OVhnzeXpJtu0terlZZiSk8/402wz4aqE1Vs2vtbnq9/ibZAD8khxc1dXZR391AalwMF6/TAln8pOFJiPVwhhBBCnIPGEuCagOlRz3PCx/okALOBbeFfyDKATZqmrZdGJkKcG5RSBFpahrTr9zU0QHiLEkNCAtaSmTivvba/XX9REQa7PcajH50T7XVs3fUMFU1vsC/YhUkpLut1s95v5JKsFZjnXa43HknOjfVQhRBCCHEeGEuAex8o1jQtHz24/TPwqb4XlVIdQGrfc03TtgH/JuFNiKkp5PXiPVA9IKh5qqoIRW+CPWMGtpISEtevC++rVoo5O2tSV9WG8Lvx17/F3/f/nk3HdvKGwUtA07jAF+AhWxZX5V1FysyrIH2WNB4RQgghxFl3xgFOKRXQNO0e4CX0bQR+ppTao2naE8AOpdSm8RqkEOLsUUoROHZs0L5q+/HV1UMwCIDmcGArLiZxzZpIu37rzJkY4+NiO/gzEQpC84dQt439tS9R0VnN1jgbx41GXAYDtzpnsX7mPzGzpBxMk2stnhBCCCHOP5pSk2+52eLFi9WOHVKoE2KiKZ8Pb23tkC6QwePHI+eYs7IiDUX69lUzz5iBZjDEcORjoBS0VUPtNqjdRlvDm2w1BamIj6PSasGMgZUpsykv+xcuyluN2RC7bQmEEEIIcf7SNG2nUmrx4OPSx1qI80Tg+HF92mP0erXaWujbBNtqxVpcTPyqy7GV9AW2EoyJiTEe+TjoOgy1b+ihre4N/J1NvOGwU5GcxpvTnARQzE4u4aszb+Sq/KtwWp2xHrEQQgghxLAkwAlxjlGBAL76+iGNRQLHjkXOMaWnYy0tIf7SSyONRSy5uWimc+RHgqcD6t+KBDaO7UcBexNcbJqWx9b0ONqDHtLsafxL4TWUF5ZTmFQY61ELIYQQQpzSOfLbmhDnp2Bn54B1at79lXirq1Fer36C2Yy1sJC4iy7qnwZZWoopOTm2Ax9vAS8cek8Pa7XboOkDUEEw2WmdsYTnc2dT4W2mursRi+pg1YxVrC9cz/Ks5ZgM8mNQCCGEEFOH/OYiRIx1bN7M0SefItDSgikzk/T778O5bt2Ac1QohL+hYcC+ap7K/QSaWyLnGFNSsJWWkPypT0WCmjU/H22SbYI9LkIhOPJReB3bG3DwbQi4QTNA9iK8KzawLTGZTR37eatlO8G2euamzeXR2XdwZd6VMkVSCCGEEFOWBDghYqhj82ZaHn0M5fEAEGhupuXRx/DW1WNOS+1v13/gAKq3V7/IaMSSn4djwUKst4T3VSspwZSWNrXa9Z8OpeBEXX9gq/sbuMONVtJKYeFtqPzL+DgxhYpDr/JC3Qt0NnWS7kjnjtl3sL5wPfnO/JjeghBCCCHEeJAAJ0QMHX3yqUh466M8HtqefhoAQ2IitpISkm64ob9df3ERBqs1FsM9u7qP9U+JrHsD2hv04wlZMHMNFFwG+ZdxxGjg+drn2VT5DLUdtViNVlbPWE15YTnLMpdhNBhjehtCCCGEEONJApwQMRRoaRnxtaLXXsWUmXnuVtUG83brUyH7QtuRj/XjVifkXwIXbYCCleAqwhP08vqh16l49+tsb9lOSIVYkL6Ajcs3ckXeFSRYEmJ4I0IIIYQQE0cCnBAx4m9pAaMRAoEhr5mysjBnZcVgVGdR0A+NO/oDW+P7EAqA0QozlsHqxyB/JWTNB4MRpRT/OPYPKt55gpfqXqLL30VGXAafnfNZ1heuJzcxN9Z3JIQQQggx4STACRED7n/8g0P33AMGA5rFgvL5Iq9pNhvp998Xw9FNEKXg6N6oxiNvga8b0PSQtvwevcI240Iw2yOXHe45zOaazWyq2UR9Zz12k51PzPgE5UXlLMlYgkGbohuKCyGEEEKcAQlwQpxlHc9voeWRRzClp5P7p5/h2b//lF0op6z2hgEbaNMT3ovOVQRzb9YDW97F4EgZcJk74ObVhlepqK7g3ZZ3USgWTVvEnbPv5Iq8K4gzx53tOxFCCCGEmBQkwAlxlqhQiGPf/z5tP/pv7IsXkfP972NKTsZaXHzuBLbe43qHyL7AdrxWPx6XDgWXRxqPkDR9yKVKKXYd3UVFTQUv1b9Ej7+H7PhsPj/v86wrXMf0hKHXCCGEEEKcbyTACXEWhHp7aX7oYbpefhnnDdeT+fjj58b+bL5eaNjev46tZTegwJIAeStg6V16YEu/AEZoxtLc3cymmk1sqtnEoa5D2E12rsi9gvKichZNWyRTJIUQQgghokiAE2KC+Q8f5tAXvoB3337Sv/IVUm7/zNTtLBkMQPMuqNumT4089C4EfWAww/SlcPkjemDLXghG84hv0+vv5ZWGV6ioruC9w+8BsDRjKZ+f93k+MeMTOMyOs3RDQgghhBBTiwQ4ISaQe/duDt19N6rXTc6PniZh5cpYD+n0KAWtVf2NR+r/Dt5O/bWMOXqFreByyF0OlpOvSwupEDuP7KSiuoK/HvwrvYFecuJzuHv+3awrXEd2fPbE348QQgghxBQnAU6ICdKxZQstj3wVU1oa03/2M6zFxbEe0uh0Ng9sPNIV3qsuKRfKrutfxxaXOqq3O9R1KNJFsqm7iThzHGvy11BeWM6C9AVTtxophBBCCBEDEuCEGGcqFKL1Bz+g9ekf6c1Kvvc9TCkpp74wVtztUP9mf2BrrdKPO1x6UOsLbCn5o37LHn8PL9e/TEVNBTuP7ERDY1nmMu5ZcA+rZ6zGbrKf+k2EEEIIIcQQEuCEGEcDmpVcfz2ZGydhsxK/R1+71td4pHkXqBCYHZB7ESy8TW/vn14GhtE3EAmpEO8ffp+K6gpeaXgFd8BNXmIeGxZsYF3hOjLiMibqjoQQQgghTttzu5r4z5cqaW53k5Vk58ErS7h2weRf0iEBTohx4j98mMYv3I1n3z7Sv/xlUu64fXJMDwwF4fDu8Dq2bdDwDgQ8oBkhZzFc+qBeYctZAqbTD5sNnQ1U1FSwuWYzLT0tJJgTWFuwlvLCcualzZsc3wMhhBBCiCjP7Wri4T9/hNsfBKCp3c3Df/4IYNKHOAlwQowD9+7dNN59D6GeHnKe/iEJl18eu8Eope+/Vvu6vpat7m/gaddfS58Fi+7QK2y5F4Et8Yw+osvXFZkiuevoLgyageVZy7l/0f1cPv1ybCbbuN2OEEIIIYQ/GMLjD+Lx64/eQP+fI48DjgVP8lqIvx84hjcQGvAZbn+Q/3ypUgKcEOe6SLOS1FRyf/oTbDNnnv1BdB3p30C7dht0NurHE3Og9JrwOrZLIeHMpzEGQ0HebXmXipoKXm14FW/QS4GzgPsW3sc1BdcwLW7auNyKEEIIISY3pRS+YAiPP4S3LyQFBgUmfxBPIBy2/EHc/kGBK6MDf2YAACAASURBVHy+d8TwFcIbCOL26e8TDKkzGqumgc1kxGY2YDMbI1+Dw1uf5nb3WL41Z4UEOCHOkN6s5Ie0Pv009kWLyPn+WWxW4u2C+rf6G48c3asftyXpQe2S+/X2/ikFI26gPVp1HXWRjbaP9h4l0ZLItUXXUl5YzuzU2TJFUgghhIgxpRTewKmqUVGBKCpcDV/Rig5ZfSGtP4R5A0HOME9hNGjYTAbsFiPWIcHKQJLdjM1sxNp3fMA5A0OYzTTw2ujzreFjFqNh2N9VVnzzNZqGCWtZSZO/0ZoEOCHOQMjt1puVvPQSzuuvJ2Pj4xgmsllJwAeN7/c3HmnaCaEAmGww40KYe5O+ji1zHhiMY/64Dm8HL9W/REVNBbuP7caoGVmRvYKvLPkKK6evxGKcZI1ZhBBCnHOmaoMJgFBIDRugoqtO7hGm+HmHOb//nFBUNSs6fA1fTRoNi9HQH5bMhnAA0v8cbzXhihsUoMKv6wFsUIAyDQpTZkM4pPUfMxtH3yBtIj14ZcmANXAAdrORB68sieGoRkcCnBCnyX/kiN6sZO9e0h98kJQ77xhbFWr37+HVJ6CjEZw5sPoxmH0jHN3TPyXy4Nvg7wXNAFkL4KIN+jq26cvAPD7rzQKhANubt7OpZhOvNbyGL+SjKKmILy36EmsL1pLmSBuXzxFCCCFOZbwbTASCoaiK09Cqkz5Nb2Dg8g5zfvR7eMMBa/C1Xn8IX/DMA1V/KBpaUXLazdgSrJHX7eHwZD1JgLKZol4fpnJlNJyfM2n6/juaiv9IoCl1hvXPCbR48WK1Y8eOWA9DiCHcH31E4xfuJtTTQ9Z3vj32ZiW7fw+bN4A/qoSvGfXKmr9Hf+4q1sNawUrIuxjsSWP7zEGqT1SzqWYTz9c+zzH3MZxWJ2vz17K+aD2zUmbJFEkhhBBnlccf5LL/fJ0jnd4hr8VbTdy8ZPqACpU3KmBFV6aipwQGxnH91OCAZY+qQA2uNg2e4mcdNCUw+lqb2YjFaMBwngYqMZSmaTuVUosHH5cKnBCj1Ll1K80PP6I3K/nJT7CVjEOzklefGBjeAFQQUHDtj/Rpkc7x/5egDm8HW+u2sql6Ex+3fYxRM3JJziWUF5Zzac6lMkVSCCHEuPP4gxzr8nK0y8ORTi9HOj0c7dIfj3X1P2/v9Y/4Ht3eAP/7XkN/mApXmOwWPQQ5R7N+yhT1eiREnd76KSFiSQKcEKegQiFaf/g0rT/8IfaFC/VmJS7X2N846IeOQ8O/5nfD/E+N/TOi3zLk5+2mt6moqWDboW34Q35Kkkv48pIvc3X+1bjs43BPQgghzjt9wexIpx7M+gLa0S4PR6Oed7iHBjOzUSM9wUZagpX81DiW5buYlmjlJ3+vo32Y87OT7Lz10KqzcVtCTFoS4IQ4iZDbTfPDj9D14os4r7uOjK9vHJ9mJUf3w18+N/Lrzpyxf0ZY1YkqKqor2FK7hTZPG8nWZG4uuZnyonJKU0rH7XOEEEKcWzz+IEc7vRwJB7G+CtnRqMrZ0a6TB7P0RD2YXVjgIj3BSnqijfQEK9PCj8kOy7BTBnOSHVO2wYQQE00CnBAjGNis5N9IufPOsU+jCIXgnaf1qZOWOFj2efjglwOnUZrteiOTMTjhOcHWuq1UVFew7/g+TAYTl+VcRnlhORfnXIzZYB7bfQghhJiy3L6gXh3rC2HhkHZsUFjr9ASGXBsdzArT4lle6GJaol5BmxYVzpLs5jGt5ZrKDSaEmGjSxESIYbg/+pjGL3xBb1by7W+TsGqMzUoAThyE574AB9+EmVfB+u9BfPrwXSjn3nTab+8P+fl749+pqK7gb01/IxAKcEHKBZQXlXN1/tUk25LHfg9CCCEmrb5gdrJpjEdHCGYWo4G0BCvpiVamJdiYlthfLUtPDD9PsJHsMMuaMCHOEmliIsQodb7wAs0PPYzJ5SL3f/5n7M1KlIJdv4YXHwY0KP8hzL+1f4PtuTedUWDrs//4fiqqK9hat5XjnuO4bC5uLb2V9UXrmZk8Do1WhBBCxJTbFxzQ8GO4aYxHOj10nSSYTUu0Upwez4pC18BpjOHAliTBTIgpQwKcEGFKqf/L3n2HV1Wlbx//rvSekApJgNAJBBSliKCIoKjogPM64zjqzNgbig3riGX8KSKOooBlBLszY0UFK4iiY6FLC11KQkiD9J6z3j/OISYhkJAQTsr9uS4ucvbeZ+9nh6PkZq39LLJmzT62zUry053LBGz5HBJOc4a3Dl2bXGt2cTYLdyzko+0fseXAFrw9vDmj8xlM7DmRU2NPxctD/2mLiLR0RWUVNZ4tq92N8eD0xvzSuoNZdIgv0cHOYDayZ+Qh0xijg30VzETaIP2UJ4KrWcl995H/2eeETpxIx0cebnqzkg3zYcFtzgW4xz3ufN7Nw6PRpyuvLOfblG/5aNtHfJ/6PRW2gqSIJO4fdj/ndjuXUN/QptUrIiLHRFFZRdV0xfRqo2UZri6NB583qzOYeXlUBbA+HYM5rVeUK6j9No0xJsSXUH8FM5H2SgFO2r3y9HRSbppEyYYNx6ZZSfEB+HQKrHsXYgfBhS9CVOO6Zllr2bh/Y9UUydzSXKL8o7i8/+VM6DGBHmE9Gl+niIgclcLSikOmMR46tbGUgsMEs4MBrG/HYE53BbMYV0OQgyNmCmYiUh8FOGnXitetJ+Wmm3AUFBA/exbBZzZxbZlti+Cjm6EwA864F067AzyP3PFx4Y6FzFw1k32F++gY2JHJJ01maMehVVMkt+Vsw8fDhzO7nMmEnhM4pdMpmiIpInIMFZZWHDJt8dAmIHUHM18vj6ogdjCYxdTxjFmIv5eCmYgcE+pCKe1W3mefsffe+/AM70Dn55/Hr08T1pYpK4QvH4AVcyGyD/z+RefoWz0W7ljIQz88REllSdU2D+OBwzoAGBg1kAk9JjAuYZymSIqIHKWC0oqqaYsZtdYyq/68WWFZ5SHv9fXyqBHEDj5fFlNrOqOCmYg0F3WhFHGx1pI1ew5Zs2bhP2gQ8bOea1qzkt0/OxflPrAThk+CM//uXMutAWaumlkjvAE4rIMg7yDeHv823UK7Nb4uEZE2qsA1Ylaj6Ude6SHPm9UVzPy8PaoCWGKnEEb1iTqk8Ud0iB8hfgpmItIyKcBJu+IoKSHtvvvI+/QzQidMoOM/Hml8s5KKUvjmcfjfTOf6bX9bAAkjG/52RwVphWl17issL1R4E5F2xVrrCmZ1rF1Wa8Ss6DDB7GAA6xcbwhmuYFZ9xCwqWMFMRFo/BThpN8rTM0i56SZns5I77yD8qqsa/5f4vnXw4fWQvh5O+guMewx8gxv89p/SfuKJZU8cdn/HwI6Nq0tE5DiavzqVJ7/YzN6cYmLD/Jkyrg8TB8XVOKZGMKtj7bLqa5odKZjFBPvRLzaE0X2iXYtM/9YAJDrEj2BfBTMRaR8U4KRdKF6/gZQbb6Syqc1KKivgh5mw5HHw7wCX/Bf6nNPgt6fkp/DUiqdYtHsRcUFxXJZ4Ge9tea/GNEo/Tz8mnzS5cfWJiBwnH65M4d756ygpdz6zm5pTzJ3v/sKHq1II9veuMYJWXH5oMPP39qwaHUuKC60aJas+jTE6xFfBTESkFgU4afPyPv+cvffci2d4BxL+/Xbjm5Vkb3eOuqUsg34TYPzTENiwZ+eKyouYu34ur65/FU8PT24ZdAt/6f8XfD19SYpMOqQL5fju4xtXo4hIEzgclgNFZWQVlJGZX0pWgfNXZkEpWfllVa+zCkpJzys95P0VDsvSrVl0jQggOsQZzMYk1uzIeDCoBSmYiYg0SpMCnDHmHGAm4Am8bK2dVmv/9cBNQCVQAFxrrd3YlGuKNJS1lqw5c8h6ztWs5Lln8YqMbMyJYPnL8NVU55IAv38ZBlwEDfjBw1rLZ79+xj9X/pP0onTO63Yet518W40pkuO7j1dgE5FmU+mw7C+sGcicv8rIyneFswJnONtfWEal49Du1N6ehsggXyKDfJ3PmHUK4d2VKYe95jdTRjfnLYmItGuNDnDGGE9gNnAWkAIsN8Z8XCugvW2tfcF1/O+AfwINn28m0kjOZiX3k/fpp4RO+B0dH3kED1/foz9Rbip8dBPsWAI9zoQJsyEktkFvTc5OZtqyaazKWEVieCJPjnqSQdH1Ly0gIlKfikoH2TVCmWt0rPZrVyirI5Ph4+VBVJAvkUE+xIb6MTAulMhgn6qgFhnkS5TrdV2LS/+wPZvUnOJDzhsb1rAuvCIi0jhNGYEbCmyz1u4AMMb8B5gAVAU4a21eteMDgZa36Jy0OeXpGaRMmkTJ+vVE3XE7EVdfffTTdKyFde/CwjvBUQ7jn4LBVzVo1G1/yX6eW/0c7295nzDfMB4c/iAX9rwQTw/PRt6RiLQHZRUOsgt/m6qYeXCkrNbUxayCMvYXltV5Dj9vj6rwFd8hgEFdwmoEssggH6KCfYkMbvqzZVPG9eHeD9bVeL7N39uTKeOasKamiIjUqykBLg7YU+11CjCs9kHGmJuA2wEf4LCdI4wx1wLXAnTp0qUJZUl7VrxhAyk33kRlfj7xs54jeMyYoz9JYRYsuA2SP4bOw2Di8xDRo963lTvK+e+m/zLnlzkUlxdzaeKl3HDiDYT4hDTiTkSkLSitqKyaqlg9gNV4vizfuS23uLzOcwT4eFaFr4SIQAYnhDtHxw6GsYPhLNiXQB/P4/Zc2cFuk/V1oRQRkWPLWNu4QTFjzEXAOdbaq12vLweGWWsnHeb4PwPjrLV/re/cgwcPtitWrGhUXdJ+5X3+BXvvuQfP8A50njMHv759j/4kmz6FT26B4hw483449RZowMjZD3t/YPqy6WzP3c6psady95C76R7WvRF3ISItXUl55WGnLlZv9pFZUEp+SUWd5wjy9SIyqNp0RddUxeqBLMq1PcBH/cZERNojY8xKa+3g2tub8rdCKtC52ut417bD+Q/wfBOuJ1Inay1Zzz9P1rPP4X/iicTPeu7om5WU5MEX98LqNyEmCS6fDx2T6n3bnvw9zFg+g6/3fE18UDwzR89kdOfR6qwm0soUlVWQlV/227RFVxDLLCipNYWxjILSukNZsJ+X65kyX/p2Cua0oMiqkbGDI2gHQ5qft6ZUi4hI4zQlwC0HehljuuEMbn8C/lz9AGNML2vtVtfL8cBWRI6hY9Ks5NfvYP6NkJcCp90Bo+4BL58jvqWovIiX173Maxtew9PDk8knTebyfpfj69mIRikicsxZayksq6wxdTEzv5TMwzT7qGsBaYBQf2/XqJgPSXGh1UbJfGpMXYwI9FEoExGR46LRAc5aW2GMmQR8gXMZgXnW2g3GmEeAFdbaj4FJxpixQDlwAKh3+qRIQ5VnZJByk6tZye23E3HNUTYrKS+GxY/AT3MgvDtc+QV0HnrEt1hrWfjrQp5e8TQZxRmc3/18bj3pVmICY5p4NyJSH2st+aUVztb3+TU7LToDWs3XBxeYri080KcqgJ3YOazmFMZqUxojAn3x8fI4zncpIiJyZE2aWG+t/RT4tNa2qdW+ntyU84scTo1mJc89S/DYsUd3gtRV8OF1kLUFhlwNZz0CPoFHfMvG7I1MWzaN1Rmr6RfRj6fOeIoTo09swl2IiLWWvOIKMgtKDglgtacuZhaUUlZxaCgzBiICfxsRS4gIOOzUxfBAH7w9FcpERKT10pPR0urkffEle+++G88OHUh4+62ja1ZSWQ5LZ8DSJyEoBi77AHoeuVNldnE2z61+jg+2fkAHvw48cuojTOg5AQ+jHwJF6uJwWHKKy6umKmbW0ezj4OvsgjLKKg8NZZ4exjVS5gxgPaKCXIHst6B2sOFHeKAPnh567lRERNoHBThpNay1ZL/wApkzn8X/hBOczUqiohp+goxNzlG3tDUw8GI49wnw73DYw8sd5fw7+d+88MsLFFcUc3m/y7n+hOsJ9gk+BncjcnzMX516TNq8VzosB4rKDhkZyzxkpMwZyirqWDnay8MQUS2A9Y4JJjLYh6ha3Rcjg3zoEOCDh0KZiIjIIRTgpFVwlJSQdv/fyVu4kJDfXUCnf/yj4c1KHA74+XlY9LBzmuQfX4d+E474lh9Sf2Da8mn8mvsrI+JGcNeQu+geqmUBpHWZvzq1xkLLqTnF3PvBOsC5hlelw9ZYOLr6dMWDI2cHnzXbX1hKHZkMb09TFbyig33p1ynktzDmGjE7+FxZqL+3QpmIiEgTNXoduOakdeCkuqpmJevWEXXbbURce03Dm5Uc2OXsMLnre+h9LlwwE4IP33BkT94epq+Yzjd7vqFzcGfuHnI3p8efrmUBpFU69fHF7M0tOWS7l4ch1N+b/UVl1PVXgI+Xhyt0+RwyMhZZa52yEH8v/fchIiLSDJpjHTiRZlejWcms5xrerMRaWP0GfH4vYGDCbDjxUme3gzoUlRfx0tqXeH3j63h7eHPrSbdyeb/L8fE88nICIi1FaUUlm/flszYll3UpuaxLza0zvAFUOCxn9+9IVK1AdjCgBfsqlImIiLRUCnDSYjW6WUl+OnxyC2z5HLqOhIlzoEPXOg+11rJgxwKeXvk0mcWZ/K7H75h80mSiA6KP4Z2IHFvllQ62pOezLiWXtanOwLZpXx7llc7htLAAbwbEhRLk61XnotNxYf48/vsBx7tsEREROQYU4KTFaVKzkg3zYcFtUF4E4x6HYdeDR93dIjdkbeDxZY/zS+YvJEUk8fTopzkh6oRjeCciTVdR6WB7ZiFrU3JYl5rL2pRcNqblVbXTD/bzYkBcKFeO7MbAuDAGxocS38EfY8whz8AB+Ht7MmVcH3fdjoiIiDSRApy0KI1uVlJ8AD6dAuvehdhBcOGLEFX3D6lZxVk8u+pZ5m+bT7hfuJYFkBaj0mH5NauAtSnOoLY+NZcNe/OqAligjydJcaH8dXhXBsSHMTAulC7hAYdtDHKw2+Sx6EIpIiIiLYMCnLQY5RkZpEy6mZK1a4+uWcm2xfDRJChIhzPuhdPuAE/vQ89fWc7bm97mhV9eoKSyhL/2/yvXDbyOIJ+gZrgbkSNzOCy79hc5R9ZcUyE3pOZSWOYMa/7envSPDeFPQzszMD6UAXFhdI8MPOoujhMHxSmwiYiItCEKcNIilGzcyJ4bb6IyN5e4554l5Kyz6n9TWSF8+QCsmAuRfeBPb0HcSXUe+l3Kd0xfPp2deTs5Le407hpyFwmhCcf2JkQOw1rLnv3FrE11ToM82GQkv8T5fJqvlwf9YkO46OR4BsSHMSAulB5RgXh5alRYREREalKAE7fL+/JL9t59D55hYc5mJYmJ9b9p98/ORbkP7IThk+DMv4O3/yGH7crbxZPLn+TblG/pGtKV2WNmc3r86cf+JkRcrLXszS1hXUqOsyOk67m13OJywLluWmKnEH53QmzVyFqvmCC8FdZERESkARTgxG2stWS/+CKZz8zE74SBdJ41q/5mJRWl8M3j8L+ZEBIPf1sACSMPOaywvJAX177IGxvfwNfTl9tPvp3LEi/Du46plSJNkZ5X4mrdn1PVETK7sAxwrrfWOyaYc5M6MiA+lIFxYfTuGISvl6ebqxYREZHWSgFO3MJRUkLa3x8gb8ECQi64gE6PNqBZyb71zlG39PUw6HIY9xj4hdQ8r3XwyfZPeGbVM2QVZzGhxwRuPflWIv0jm/FupL3IzC9lXWpOVYORtSm5ZOSXAuBhoHdMMGf2jXaOrMWH0bdjMH7eCmsiIiJy7CjAyXFXkZnJnkmTKPllLVG33krEddceuVlJZQX8MBOWPA7+HeCS/0Kfcw45bF3mOqYtm8barLUMiBzAzNEzGRg1sBnvRNqy/YVlrufVfpsKmeZaGNsY6BEVxMiekc6RtfhQ+nUKxd9HYU1ERESalwKcHFdH3awkezt8eD2kLIN+E2D80xAYUeOQrOIsnln5DB9t/4hI/0geHfEoF/S4QMsCSIPlFpWzfm+uK6g5A1vKgeKq/d0jAxnaLZwBcaEMiAulv2uRbBEREZHjTT+ByHFT1awkNJSEt97Er1+/wx9sLSx/Gb6a6lwS4Pcvw4CLnEMfLuWV5byZ/CYvrn2R0spSrki6gusGXkegd+BxuBtprfJLylmfmldjKuTO7KKq/V3CAzihcxiXn9KVAfGhJMWFEuKnZydFRESkZVCAk2Z31M1KclPh40mw/WvocSZMmA0hsTUOWZqylOnLp7Mrbxej4kcxZcgUuoZ0beY7kdamsLSCjWl5NZqM7MgsrNofF+bPgLhQ/jD44FproYQF+LixYhEREZEjU4CTZuUoLXU2K/nkE0LOP59O//fo4ZuVWAvr3oWFd4KjHMY/BYOvqjHqtjN3J9OXT+e71O9ICElgzpg5nBZ/2nG6G2nJSsor2bA3r6q5yLrUHLZlFOCwzv0dQ/wYEB/KhSfGMcAV1iKC6mmcIyIiItLCKMBJszmqZiWF2bDgVkj+GDoPg4nPQ0SPqt0FZQW8uPZF3kx+E19PX+4cfCd/7vtnLQvQTpVWVLIpLd/Vtt85FXJrRgGVrrQWGeTLwPhQzk3qVDWyFh3i5+aqRURERJpOAU6aRUlysrNZSU4Occ/OJOTssw9/8ObP4ONboPgAjH0ITr0FPJzd/BzWwcfbP+aZlc+QXZLNhT0v5JaTbtGyAO1IWYWDLen5VQtir0vNYfO+fMornWGtQ4A3A+PDOKtfjLPJSHwoHUP8jtzZVERERKSVUoCTYy7vq6/Ye9fd9TcrKcmDL+6F1W9CTBJc/iF0TKravTZzLdOWTWNd1joGRg1k1phZJEUm1X0uaRMqKh1szShwte/PZW1qLslpeZRVOAAI8fNiYHwYV5/WnYGusBYX5q+wJiIiIu2GApwcM85mJS+R+cwz+J0wkPjnnsM7Orrug3/9DubfCHkpMPJ2OOMe8HI+j5RZlMkzq57h4+0fE+UfxWMjH2N89/FaFqCNqXRYdmQWVK2xtjYlh41peZSUO8NasK8XSXGhXHFqAklxzrXWuoQHKKyJiIhIu6YAJ8dEjWYl48c7m5X41fHMUXkxLH4EfpoD4d3hyi+g81AAyirLeGPjG7y09iXKHeVclXQV1wy8RssCtAEOh2VnduFv0yBTclm/N5eiskoAAnw8SYoN5dJhXaueWUuICMTDQ2FNREREpDoFOGmyisxMUibdTPEvvxB162Qirruu7lGS1FXw4XWQtQWGXA1nPQI+gVhr+TblW55c/iS783dzRvwZTBkyhS4hXY7/zUiTWWvZvb+oxsjahtQ88ksrAPDz9qBfpxD+OLgzA1wja92jgvBUWBMRERGplwKcNEmNZiUzZxIyro5mJZXlsHQGLH0SgmLgsg+g5xgAduTuYPry6fwv9X90C+3GC2NfYETciON8F9JY1lpSc4qrnldb5wptucXlAPh4epAYG8LEQc7W/QPjQ+kZFYSXp6bDioiIiDSGApw0Wv6iRaROuQvPkBC6vvkG/v37H3pQxibnqFvaGhh4MZz7BPh3IL8snxd+eYG3k9/Gz8uPKYOncEniJXh7aFmAlspay768kqqQdnCEbX9hGQBeHoa+nYI5b8Bvrft7xwTj46WwJiIiInKsKMDJUbPWkv3Sv8h8+mn8Bg4kflYdzUocDvj5eVj0MPgEwh9fh34TcFgH87d+wMxVMzlQcoALe13ILYNuIcI/wj03I4eVke8Ma2urBbasglIAPD0MvWOCOSsxhqT4UAbGhdKnYzB+3p5urlpERESkbVOAk6PiKC0l7YEHyPv4E0LOO49Oj/3foc1KDuxydpjc9T30PhcumAnBMazJWMPjyx5nY/ZGTow6kTlj59A/oo5ROznusgtKa7TuX5eSy768EgA8DPSMDmJU7yjnyFp8KP06hSisiYiIiLiBApw0WEVWFik3TXI2K5l8CxHXX1+zWYm1sPoN+Pw+5+sJs+HES8kozuTp7+5lwY4FRPtH8/hpjzO+23i1g3eTnKKyqhG19a7fU3OKq/Z3jwrklO7hDIgPY6ArrAX66n8VIiIiIi2BfiqTBinZtIk9N9xI5YEDdTcryU+HT26BLZ9D15EwcQ6lIR15Y/1cXlr7EhWOCq4ZcA1XD7iaAO8A99xEO5RXUs76WiNru/cXVe1PiAjgpK4d+NupCQyID6V/bAjBfnoOUURERKSlUoCTeuUvWkTqXXfjGRxM17fePLRZyYb5sOA2KC+CcY9jh17HN6lLmf719aQUpDC682imDJ5C55DO7rmBdqKwtIINe/NYm5JTNR1yR1Zh1f74Dv4MjA/lkqFdGBgfSlJsKKEBCmsiIiIirYkCnByWtZbsf73sbFaSlET87Fk1m5UUH4BP74J170DsILjwRXZ4e/PE1zfyw94f6B7anRfPepFTY0913020UcVllWxM+21R7LWpuWzPLMBa5/7YUD8GxIfy/06OJynO2REyPNDHvUWLiIiISJMpwEmdHKWl7Js6ldyPPq67Wcm2xfDRJChIhzPuJW/YtTy/7l/8Z9N/8Pfy5+4hd3Nx34u1LEADzF+dypNfbGZvTjGxYf5MGdeHiYPiqvaXlFeyaV8+61JyqjpCbknPx+EKa1HBvpwQH8oFA2OdI2txoUQF+7rpbkRERESkOSnAySEqsrJImXQzxWvWEHnLzUTecMNvDUfKCuHLB2DFXIjsQ+XFb/Bh0U6e+/hCDpQc4Pe9fs8tJ91CuF+4e2+ilZi/OpV7P1hHcXklAKk5xdz9/lr+tz0LLw/D2pRcNu/Lp8KV1iICfRgYH8rZ/WKqmozEhPgd6RIiIiIi0oYowEkNJZs2sefGG6ncf4C4Z54h5Jxxv+3c/TPMvx72/wrDJ7F6wAU8vnI6yfuTGRQ9iOfHPk+/iH7uK74Vmv75pqrwdlBphYN3V6QQFuDNgLhQrhvVnQFxzrDWKdRP3TtFRERE2jEFOKmSv3gxqVPucjYrefNN/JNczUoqSuGbx+F/MyEknn2XsUmURgAAIABJREFUvMHT6d/z6VfXEB0QzROnPcG53c5VsGig/YVlLNmUwaLkdPbmltR5jAFWP3CWvqciIiIiUoMCnDiblbz8Mpn/dDUrmTUL7xhXs5J96+HD6yB9PaUnXsprXRJ5ecU/qHRUcu3Aa7kq6SotC1APay3bMwtZlJzO4uR0Vu46gMNCTIgvAT6eFJVVHvKe2DB/hTcREREROYQCXDvnKCtj3wNTyf3oI0LOO5dOjz3mbFbiqHSOuC15DOvfga/HPcCTexeRuu47xnQZw52D7yQ+ON7d5bdYFZUOlu88wOLkdBYlp7Mz27n2Wv/YEG4+sxdjE2NIigvhozV7azwDB+Dv7cmUcX3cVbqIiIiItGAKcO1YRXa2s1nJ6tVE3jyJyBtvdI76ZG+HD6+HlGVs73s200ID+WnLa/QM68m/zv4Xp3Q6xd2lt0i5xeV8uyWTxcnpLNmUQV5JBT6eHgzvEcFVp3VnTN9oYsP8a7znYLfJI3WhFBERERE5SAGunSrZvJk9N9zgalbyNCHnnAPWwrJ/wVdTyfXy5vmhF/GfrJUE5ARwz9B7uLjPxXh56CNT3e7sIha5RtmW/bqfCoclItCHs/t3ZGxiDKf1iiTQ98jfs4mD4hTYRERERKRBmvTTuDHmHGAm4Am8bK2dVmv/7cDVQAWQCVxprd3VlGtK0+V//TWpd07BMyjot2Yluanw8SQqt3/NB91P5jnvMnIyl/OH3n9g0qBJdPDr4O6yW4RKh2XNnpyq59m2pBcA0Cs6iGtO787YxGhO7NwBTw89vyYiIiIix16jA5wxxhOYDZwFpADLjTEfW2s3VjtsNTDYWltkjLkBmA5c3JSCpfGsteyfO5eMp/6JX//+xM+ejXd0FKx9Bz69k5WelicSTya5JJOTwk7i3mH30je8r7vLdrvC0gq+25rF4uR0vt6UQXZhGV4ehqHdwrl4SBfGJkbTNSLQ3WWKiIiISDvQlBG4ocA2a+0OAGPMf4AJQFWAs9YuqXb8T8BlTbieNEH1ZiXB555D7GOP4eEognf+wr4tC/lnfA8+8yiho6cnT57+JOMSxrXrLohpucUsSs5gcXI6P2zPpqzCQYifF2f0iWZsvxhG9Y4i1N/b3WWKiIiISDvTlAAXB+yp9joFGHaE468CPjvcTmPMtcC1AF26dGlCWVJbRXY2KTffQvGqVUROmkTkTTditnxOyce38JpPOXO7dsXhYbk+6XquTLoSfy//+k/axlhrWZ+aV/U824a9eQB0jQjg8lO6MiYxmiEJ4Xh7eri5UhERERFpz45LRwpjzGXAYGDU4Y6x1r4EvAQwePBgezzqag9KNm8m5YYbqdi/39ms5IxTsR/dxKItHzAjKppUDz/O6jKaOwbfQVxQ+2qkUVJeyY/bs/kqOZ2vkzPYl1eCh4GTunTgnnP7MjYxmh5RQe16JFJEREREWpamBLhUoHO11/GubTUYY8YC9wOjrLWlTbieHKX8r5ew98478QgKousbb+AfdICtL43gCZ8Sfo6Jomdod14edi/DOh1p4LRtycwvZcmmDBYlp/Pd1iyKyysJ9PHk9N5RjEmMYXSfKCKCfN1dpoiIiIhInZoS4JYDvYwx3XAGtz8Bf65+gDFmEPAicI61NqMJ15KjcEizkmdmULT2OZ7e9h7vhAQT6B3OfSffyh96/6HNLwtgrWVLekHV1Mg1e3KwFmJD/bjo5HjG9ovhlO7h+Hp5urtUEREREZF6Nfqnd2tthTFmEvAFzmUE5llrNxhjHgFWWGs/Bp4EgoB3XdPQdltrf3cM6pbDcJSVsW/qg+TOn0/wuecQc9NFfLDwQmZ5l5AXGswfev6eSSffRphfmLtLbTZlFQ6W79zPVxvTWbwpnT37iwEYGB/KbWN7MyYxmn6dQjQ1UkRERERaHWNty3vcbPDgwXbFihXuLqPVqdGs5KYb2NVjB9NSP2Ozjw+DQ3pwz6gn6BPex91lNoucojK+2ZzJouR0vt2cSX5pBb5eHozsGcmYxBjGJEYTE+Ln7jJFRERERBrEGLPSWju49va2PX+uHSnZvIWUG26gIjubgPuv5Yny1/gis4xOvkHMOOV+zu51YZsbcfo1q5BFG51TI1fsOkClwxIZ5Mt5Azoxtl8MI3tG4u+jqZEiIiIi0nYowLUBB5uVmMAAVlzXi5kVc7EecEPsmVwx+ok2syxARaWDVbtzWJyczlfJ6ezILASgb8dgbhjVgzGJ0ZwQH4aHR9sKqiIiIiIiBynAtWLWWvbPm0fGjKco696RR8/JZlNgDmebUO4Y9zyxMQPdXWKT5ZeU893WLBZtTGfJ5gwOFJXj7Wk4pXsEfx2ewJl9o+kcHuDuMkVEREREjgsFuFbKUVbGvgcfIvfDD9mUFMij52SQQCXzul/OkJH3QiueLplyoIjFyc5W/z/tyKa80hIW4M2ZfaIZkxjD6b0jCfbzdneZIiIiIiLHnQJcK1Sxfz87b7qR8tW/8N5Iw5fDC7nLI4r/97tX8Yro7u7yjprDYVmbmuucGrkxnU378gHoHhXIFSO6MTYxhpO6hOHl6eHmSkVERERE3EsBrpUp3JzM1muuxOzP4fkJhs6dS1nQ5yZCT70VPFpPwCkuq+R/27JYlJzO4k0ZZOaX4mFgcEI495+XyJjEaLpHBbm7TBERERGRFkUBrhVZ9cFLeDz0DIU+lk8vquD2uBh6T5wLUa1jaYCMvBIWb8pgcXI6323NorTCQbCvF6f3ieKsxBjO6BNFWICPu8sUEREREWmxFOBagdT8VL58/CaGfrCZ1BjwHJ3Ho6MmYU6/Ezxb7rNg1lqS0/Kdo2zJ6fySkgtAfAd/LhnahbGJMQztFo6PV+sZORQRERERcScFuBasuKKYV1b/C48Z/2LULxVkdK9g5FmhBPzxLYg7yd3l1am0opKfduxncXI6i5MzSM0pxhg4sXMYU8b1YWxiDL1jgtrcmnQiIiIiIseDAlwLZK3li11f8OK307n8jTQSU8B3QCGnX3Ep5qyp4N2y1nXbX1jGkk3OrpFLt2RSWFaJv7cnI3tFMnlML0b3jSYq2NfdZYqIiIiItHoKcC3M5v2bmbZsGunrl/P39yxh+ZbYMZ6ETnkbEka6uzzAGTC3ZxZWTY1cuesADgsxIb5MGBTH2MRoTu0RiZ+3p7tLFRERERFpUxTgWogDJQeYtXoW7219jxE7vJn+fiU+npV0vmEY/lfPBr8Qt9ZXUelg+c4DLE5OZ1FyOjuziwDoHxvCpDN7cVZiDElxIZoaKSIiIiLSjBTg3KzCUcE7m99h9prZFJYV8Pdfwkn6NA2/CIh/8mG8T73EbbXlFpfz7ZZMFiens2RTBnklFfh4ejC8RwRXndadMX2jiQ1rWdM5RURERETaMgU4N/o57WemLZvGtpxtDA9L4vb3N2HX7yO4fzixL76LR2Tcca9pd3YRi1yjbMt+3U+FwxIR6MPZ/TsyNjGG03pFEuirj42IiIiIiDvoJ3E3SC1IZcbyGSzavYi4oFieDRlLt6cWUJzhReRFZxD58CyM5/F5fqzSYVmzJ6fqebYt6QUA9IoO4prTuzM2MZoTO3fA00NTI0VERERE3E0B7jgqKi9i3vp5vLL+FTw9PJmU+BcuWbqYjH8voKTUm9h/3EfoHy5r9joKSyv4bmsWi5PT+XpTBtmFZXh5GIZ2C+fiIV0YmxhN14jAZq9DRERERESOjgLccWCt5fOdn/PUiqdIL0rn3IRzuT2wN4Gv/B97l/riERhK13lz8T/hhGarIS23mMXJzlb/P2zPpqzCQYifF2f0iWZsvxhG9Y4i1L/lLgouIiIiIiIKcM0uOTuZacumsSpjFX3D+/LEkPs56ed57P/wTVLWhOLXpwfxL76Md8eOx/S61lo27M3jq43pLN6UzvrUPAC6RgRw+SldGZMYzZCEcLw9PY7pdUVEREREpPkowDWTAyUHeG71c7y35T3CfMOYOnwqv3cE4PGfa0lbWk7ujlCCzz6b2GmP4xEQcEyuWVJeyY/bs13Ps2WwL68EDwMndenAPef2ZWxiND2igtTqX0RERESklVKAO8bKHeVVywIUlRdxaeKlXN/3UkKXTKPip7fYvSyeolQvIm+8gchJkzAeTRsBy8wvZckm59TI77ZmUVxeSaCPJ6f3jmJMYgyj+0QREeR7jO5ORERERETcSQHuGPpx7488sewJtudu55ROp3DP0HvocWAvzD2X0j372PNzDyryy4mdMYPQ88c36hrWWrakF1S1+l+zJwdrITbUj4tOjmdsvxhO6R6Or9fx6WIpIiIiIiLHjwLcMbAnfw8zls/g6z1fExcUxzOjn+HMjsMxXz8KP80mP68re7+JxwT60/XNefgPHHhU5y+rcLB85/6q59n27C8GYGB8KLeN7c2YxGj6dQrR1EgRERERkTZOAa4JisqLeHndy7y24TU8PTy5ZdAt/KX/X/DdtwFeOgObuZn9xWeS8dlmfBN70nnOnAY3K8kpKuObzZksSk7n282Z5JdW4OvlwciekdwwqidjEqOJCfFr5jsUEREREZGWRAGuEay1fPrrp/xz5T/JKMpgfPfx3HbSbcT4hcPSGbD0Sax/DGn7/x+5X/3Y4GYlv2YVsmijc2rkil0HqHRYIoN8OW9AJ8b2i2Fkz0j8fTQ1UkRERESkvVKAa4CFOxYyc9VM9hXuI8I/gkCvQHbl7yIxPJEZo2YwKHoQZG6GN/8IaWuo6PF7Uj8roWjVj0TccD1RN99cZ7OSikoHq3bnsDg5na+S09mRWQhA347B3DCqB2MSozkhPgwPD02NFBERERERBbh6LdyxkId+eIiSyhIAsoqzyCKL3/f8PVOHT8UTAz/OhkUPg08gpac8yZ4Z71KRkUHsk08SesH5Nc6XX1LOd1uzWLQxnSWbMzhQVI63p+GU7hH8dXgCZ/aNpnP4sVlWQERERERE2hYFuHrMXDWzKrxV92Paj3jmpsBHN8HO76D3uRSEX0Lq/f/ABPjT9Y3X8T/hBABSDhSxONnZ6v+nHdmUV1rCArw5s080YxJjOL13JMF+3sf71kREREREpJVRgKvHvsJ9h9meBs+PAMBe8Bz71zrIuP0+fPv0IW7WLJIdASz+cjNfbUxn0758ALpHBXLFiG6MTYzhpC5heHk2bQ04ERERERFpXxTg6tExsCNphWmHbi+vgE4nYMfPJO3ZV8l9732KTzmdt8ZdxRevbiQzvxQPA4MTwrn/vETGJEbTPSrIDXcgIiIiIiJthQJcPSZHDuOh/A8pqdZIxM/hYHJQH/YNn82ea24jaPM63uk7lldjziZo0wFO7xPFWYkxnNEnirAAHzdWLyIiIiIibYkCXD1G//wueOQys0MY+7w86VhRyeQDOZyYtp6N0y8moiSXf53+N0LOP583EmMY2i0cHy9NjRQRERERkWNPAa4efsX7GI9lfGFR1baCvb6k/uhJuH8lPrNe5KnRwzFGrf5FRERERKR5KcDVY68jguDdhWSsDaaiyBMPb4uj3OARZun/4Qd4d+rk7hJFRERERKSd0Fy/enyZehppy8OoKPICDI5yDzDwY9+hCm8iIiIiInJcKcDVY/DmX7GVtaZHWsNJ23a7pyAREREREWm3FODq4Z2deVTbRUREREREmosCXD28DjNN8nDbRUREREREmosCXD2ib7sV4+dXY5vx8yP6tlvdVJGIiIiIiLRX6kJZj9ALLgAg4+lnqEhLw6tTJ6Jvu7Vqu4iIiIiIyPGiANcAoRdcoMAmIiIiIiJu16QplMaYc4wxm40x24wx99Sx/3RjzCpjTIUx5qKmXEtERERERKS9a3SAM8Z4ArOBc4F+wCXGmH61DtsN/A14u7HXEREREREREaemTKEcCmyz1u4AMMb8B5gAbDx4gLV2p2ufownXEREREREREZo2hTIO2FPtdYprW6MYY641xqwwxqzIzNQaayIiIiIiIrW1mGUErLUvWWsHW2sHR0VFubscERERERGRFqcpAS4V6Fztdbxrm4iIiIiIiDSDpjwDtxzoZYzphjO4/Qn487EoauXKlVnGmF3H4lzHWCSQ5e4ipM3S50uakz5f0pz0+ZLmpM+XNLeW+hnrWtdGY61t9BmNMecBzwCewDxr7f8ZYx4BVlhrPzbGDAE+BDoAJcA+a23/Rl/QzYwxK6y1g91dh7RN+nxJc9LnS5qTPl/SnPT5kubW2j5jTVrI21r7KfBprW1Tq329HOfUShEREREREWmiFtPERERERERERI5MAe7ovOTuAqRN0+dLmpM+X9Kc9PmS5qTPlzS3VvUZa9IzcCIiIiIiInL8aARORERERESklVCAExERERERaSUU4BrAGHOOMWazMWabMeYed9cjbYsxZp4xJsMYs97dtUjbY4zpbIxZYozZaIzZYIyZ7O6apO0wxvgZY5YZY35xfb4edndN0vYYYzyNMauNMQvcXYu0LcaYncaYdcaYNcaYFe6up6H0DFw9jDGewBbgLCAF5wLml1hrN7q1MGkzjDGnAwXA69baJHfXI22LMaYT0Mlau8oYEwysBCbq/2FyLBhjDBBorS0wxngD3wOTrbU/ubk0aUOMMbcDg4EQa+357q5H2g5jzE5gsLW2JS7ifVgagavfUGCbtXaHtbYM+A8wwc01SRtirV0K7Hd3HdI2WWvTrLWrXF/nA8lAnHurkrbCOhW4Xnq7fulfhuWYMcbEA+OBl91di0hLoQBXvzhgT7XXKeiHHxFphYwxCcAg4Gf3ViJtiWt62xogA/jKWqvPlxxLzwB3AQ53FyJtkgW+NMasNMZc6+5iGkoBTkSkHTDGBAHvA7daa/PcXY+0HdbaSmvtiUA8MNQYo6ngckwYY84HMqy1K91di7RZI621JwHnAje5Hmtp8RTg6pcKdK72Ot61TUSkVXA9m/Q+8Ja19gN31yNtk7U2B1gCnOPuWqTNGAH8zvWc0n+AM40xb7q3JGlLrLWprt8zgA9xPjrV4inA1W850MsY080Y4wP8CfjYzTWJiDSIq8nEXCDZWvtPd9cjbYsxJsoYE+b62h9nw69N7q1K2gpr7b3W2nhrbQLOn7++ttZe5uaypI0wxgS6mnthjAkEzgZaRUdwBbh6WGsrgEnAFzgf/n/HWrvBvVVJW2KM+TfwI9DHGJNijLnK3TVJmzICuBznv1yvcf06z91FSZvRCVhijFmL8x88v7LWqtW7iLQGMcD3xphfgGXAQmvt526uqUG0jICIiIiIiEgroRE4ERERERGRVkIBTkREREREpJVQgBMREREREWklFOBERERERERaCQU4ERERERGRVkIBTkRE2ixjTGW15RPWGGPuOYbnTjDGtIo1g0REpO3wcncBIiIizajYWnuiu4sQERE5VjQCJyIi7Y4xZqcxZroxZp0xZpkxpqdre4Ix5mtjzFpjzGJjTBfX9hhjzIfGmF9cv051ncrTGPMvY8wGY8yXxhh/t92UiIi0CwpwIiLSlvnXmkJ5cbV9udbaAcAs4BnXtueA16y1A4G3gGdd258FvrXWngCcBGxwbe8FzLbW9gdygP/XzPcjIiLtnLHWursGERGRZmGMKbDWBtWxfSdwprV2hzHGG9hnrY0wxmQBnay15a7tadbaSGNMJhBvrS2tdo4E4CtrbS/X67sBb2vto81/ZyIi0l5pBE5ERNore5ivj0Zpta8r0bPlIiLSzBTgRESkvbq42u8/ur7+AfiT6+tLge9cXy8GbgAwxngaY0KPV5EiIiLV6V8KRUSkLfM3xqyp9vpza+3BpQQ6GGPW4hxFu8S17WbgFWPMFCATuMK1fTLwkjHmKpwjbTcAac1evYiISC16Bk5ERNod1zNwg621We6uRURE5GhoCqWIiIiIiEgroRE4ERERERGRVkIjcCIiclwYY2y1BbNfMMY80JBjG3GdS40xXza2ThERkZZMI3AiItIgxpjPgWXW2qm1tk8AXsS5TlrFEd5vgV7W2m0NuFaDjnWtxfYrzvXXDnttERGRtkIjcCIi0lCvAZcZY0yt7ZcDbylANS9jjDpHi4iIApyIiDTYfCACOO3gBmNMB+B84HVjzFBjzI/GmBxjTJoxZpYxxqeuExljXjXGPFrt9RTXe/YaY66sdex4Y8xqY0yeMWaPMeaharuXun7PMcYUGGOGG2P+Zoz5vtr7TzXGLDfG5Lp+P7Xavm+MMf8wxvzPGJNvjPnSGBN5mJo7GGMWGGMyjTEHXF/HV9sfbox5xXUPB4wx86vtm2CMWeO6h+3GmHNc23caY8ZWO+4hY8ybrq8TXFNJrzLG7Aa+dm1/1xizz3U/S40x/au9398Y85QxZpdr//eubQuNMTfXup+1xpgL67pXERFpuRTgRESkQay1xcA7wF+qbf4jsMla+wvO9dFuAyKB4cAY4Mb6zusKM3cCZwG9gLG1Dil0XTMMGA/cYIyZ6Np3uuv3MGttkLX2x+pvNMaEAwuBZ3GGz38CC40xEdUO+zPO9d6iAR9XLXXxAF4BugJdgGJgVrX9bwABQH/XuZ521TAUeB2Y4rqH04Gdh/t+1GEUkAiMc73+DOf3KRpYBbxV7dgZwMnAqUA4cBfgwDV6evAgY8wJQBzO742IiLQiCnAiInI0XgMuMsb4uV7/xbUNa+1Ka+1P1toKa+1OnM/FjWrAOf8IvGKtXW+tLQQeqr7TWvuNtXadtdZhrV0L/LuB5wVn4NtqrX3DVde/gU3ABdWOecVau6VaQD2xrhNZa7Otte9ba4ustfnA/x2swxjTCTgXuN5ae8BaW26t/db11quAedbar1z3kGqt3dTA+gEestYWuurDWjvPWptvrS3F+b06wRgTaozxAK4EJruuUWmt/cF13MdAb2NML9c5Lwf+a60tO4o6RESkBVCAExGRBrPWfg9kARONMT2AocDbAMaY3q5phfuMMXnAYzhH4+oTC+yp9npX9Z3GmGHGmCWuqYu5wPUNPO/Bc++qtW0XztGng/ZV+7oICKrrRMaYAGPMi67piXk4p2+GGWM8gc7AfmvtgTre2hnY3sB661L1vTHGeBpjprmmYebx20hepOuXX13XstaWAP/F+QyjB3AJzhFDERFpZRTgRETkaL2Oc+TtMuALa226a/vzOEe3ellrQ4D7gNoNT+qShjPkHNSl1v63cY4gdbbWhgIvVDtvfa2U9+Kc8lhdFyC1AXXVdgfQBxjmur+D0zcNzpAVbowJq+N9e4AehzlnIc5plwd1rOOY6vf4Z2ACzmmmoUBCtRqygJIjXOs14FKcU1uLak83FRGR1kEBTkREjtbrOAPENbimT7oEA3lAgTGmL3BDA8/3DvA3Y0w/Y0wA8GCt/cE4R7dKXM+T/bnavkycz3h1P8y5P8U5dfDPxhgvY8zFQD9gQQNrq11HMc6GKeHV67TWpuF8Nm2Oq9mJtzHmYMCbC1xhjBljjPEwxsS5vj8Aa4A/uY4fDFzUgBpKgWycwe+xajU4gHnAP40xsa7RuuHGGF/X/h9xfq+eQqNvIiKtlgKciIgcFdfzbT8AgThHxg66E2e4ygf+hXPKXkPO9xnwDM4ui9tcv1d3I/CIMSYfmIoz8B18bxHOZ9H+5+p+eUqtc2fj7JJ5B87QcxdwvrU2qyG11fIM4I9zpOsn4PNa+y8HynGOQmYAt7pqWIazScrTQC7wLb+NCj6Ac8TsAPAwrumoR/A6zimgqcBGVx3V3QmsA5YD+4EnqPl3/evAAODNeq4jIiItlBbyFhERaSeMMX8BrrXWjnR3LSIi0jgagRMREWkHXNNTbwRecnctIiLSeApwIiIibZwxZhzO5wXTqX+apoiItGCaQikiIiIiItJKaARORERERESklfBydwF1iYyMtAkJCe4uQ0RERERExC1WrlyZZa2Nqr29RQa4hIQEVqxY4e4yRERERERE3MIYs6uu7ZpCKSIiIiIi0koowImIiIiIiLQSCnAiIiIiIiKtRIt8Bk5E2o7y8nJSUlIoKSlxdykiIm2Wn58f8fHxeHt7u7sUEWlmCnAi0qxSUlIIDg4mISEBY4y7yxERaXOstWRnZ5OSkkK3bt3cXY6INDNNoRSRZlVSUkJERITCm4hIMzHGEBERoZkOIu2EApyINDuFNxGR5qX/z4ocvYU7FnL2e2cz8LWBnP3e2SzcsdDdJTWIplCKiIiIiEi7snDHQh764SFKKp0j12mFaTz0w0MAjO8+3o2V1U8jcCLSosxfncqIaV/T7Z6FjJj2NfNXp7q1noSEBLKyso7/hde+A08nwUNhzt/XvnP8axC3cse/DL/66qtMmjSp2a/THHI/+YStZ44hObEfW88cQ+4nn7i7JGki/ZnKsVJUXsSOnB18n/o972x+h2dXPcvDPz5cFd4OKqksYeaqmW6qsuE0AiciLcb81anc+8E6issrAUjNKebeD9YBMHFQnDtLO77WvgOf3ALlxc7XuXucrwEG/tEtJSUkJLBixQoiIyPdcv3GWLNmDXv37uW8885zdylHrTX/y7A75H7yCWkPTMW6ngGr2LuXtAemAhB6wQXH5BrWWqy1eHg03799V1ZW4unp2Wznb02Ox5+ptA3WWvaX7CetMI29BXtJK0xz/ipIq/o6pzSnxns8jSeVtrLO8+0r3Hc8ym4SBTgROW4e/mQDG/fmHXb/6t05lFU6amwrLq/krvfW8u9lu+t8T7/YEB68oP8Rr1tYWMgf//hHUlJSqKys5IEHHiA4OJjbb7+dwMBARowYwY4dO1iwYAHZ2dlccsklpKamMnz4cKy1R3+j9fnsHti37vD7U5ZDZWnNbeXF8NEkWPla3e/pOADOnXbsamwD1qxZw4oVK1pkgHti2RNs2r/psPvXZq6lzFFWY1tJZQlT/zeV97a8V+d7+ob35e6hdx/xuhMnTmTPnj2UlJQwefJkrr32Wl555RUef/xxwsLCOOGEE/D19QXgk08+4dFHH6WsrIwrFwhvAAAgAElEQVSIiAjeeustYmJieOihh/j111/ZsWMHu3fv5umnn+ann37is88+Iy4ujk8++eSYt7Lf99hjlCYf/vtV/Msv2LKa3y9bUkLa/X8n551363yPb2JfOt533xGvu3PnTsaNG8ewYcN4//33iY6OZtSoUfzwww8MGTKEK664ggcffJCMjAzeeusthg4dyrfffsvkyZMB53NpS5cuZeXKlUydOpXg4GC2bdvG6NGjmTNnDh4eHgQFBXHdddexaNEiZs+ezbJly5g3bx4AV199Nbfeeis7d+7knHPO4eSTT2bVqlX079+f119/nYCAgKP5NrZolQWFlG7dQunWrZRu3UbOf/9b55/p3vvup+Dbpfh06YJP1y54d+mCT9eueHbooOcA26jyynL2Fe2rCmR7C/eyr3Afewucv6cVplFa6+9Mfy9/YgNj6RTUiaTIJGKDYukU2IlOgZ2IDYol0j+S8/5zBmnluYdcr6N3yPG6tUZTgBORFqN2eKtve0N9/vnnxMbGsnChcwpabm4uSUlJLF26lG7dunHJJZdUHfvwww8zcuRIpk6dysKFC5k7d26Trt0otcNbfdsbqLmC7MEfLk855ZQj/mC7f/9+rrzySnbs2EFAQAAvvfQSAwcObHAgWLlyJbfffjsFBQVERkby6quv0qlTJ8444wyGDRvGkiVLyMnJYe7cuQwbNoypU6dSXFzM999/z7333ktycjJBQUHceeedACQlJbFgwQKABtV/PNUOb/Vtb6h58+YRHh5OcXExQ4YMYfz48Tz44IOsXLmS0NBQRo8ezaBBgwAYOXIkP/30E8YYXn75ZaZPn85TTz0FwPbt21myZAkbN25k+PDhvP/++0yfPp0LL7yQhQsXMnHixCbVebRq/6Bf3/ajsXXrVl577TUeeeQRevbsyR133MG8efMYMmQIb7/9Nt9//z0ff/wxjz32GPPnz2fGjBnMnj2bESNGUFBQgJ+fHwDLli1j48aNdO3alXPOOYcPPviAiy66iMLCQoYNG8ZTTz3FypUreeWVV/j555+x1jJs2DBGjRpFhw4d2Lx5M3PnzmXEiBFceeWVzJkzp+qz3JrYsjJKf/2V0i1bKd3iCmxbtlC+d2/VMSYg4PB/duXlFK9eTd7ChVDt/0seQUH4dOmCd1dnoPPp0hWfrl3w6dIFz8hIhbsWLL8sv2rEbG/h3pqjZwVpZBZnYqn5d1CEXwSxQbH06tCLUfGj6BT0WzjrFNiJEJ+QI/+ZlxUxOTuTh4K8KKk2qu7ncDD5QM7h39dCKMCJyHFT30jZiGlfk5pTfMj2uDB//nvd8EZfd8CAAdxxxx3cfffdnH/++QQHB9O9e/eq9ZIuueQSXnrpJQCWLl3KBx98AMD48ePp0KFDo697WPWNlD2d9P/Zu+84u6py/+OffXqZfqb3kklIhgQCoRMEAiRIBxHblY4iSPOHgqBE7lWwXCmKBbgUUSxcBS+KF68gShCpUkISMkmmZkqm91P3+v2xT50zM5lk+uR585rXnLLOnn0mQ7K/86z1LGPa5GjpJXDp/q+Dmskgu2PHDp566qkJL2zvuOMOVq9ezTPPPMOLL77IZz/7Wd555x1g74HgjDPO4Itf/CK///3vycnJ4de//jW33XZbtFIRDAZ5/fXXee655/jGN77BX/7yF+68807efPNNfvjDHwKwcePGKZ3/dNpbpey0/z6N1qHWpMcL3AU8uuHR/f66999/P08//TQATU1NPPHEE5x44onk5OQAcNFFF7F9+3bA2MPxoosuorW1Fb/fn7C/2Omnn47VaqVkaQnBUJCSNSVs795O9fJq6uvr9/v8xrO3SlntyesIxgWACEthIWVP/GxKX7usrIyjjz6a+vp6KioqWLlyJQA1NTWsW7cOTdNYuXJl9H0fd9xx3HTTTXz605/m/PPPp7i4GIAjjzySyspKwPg7Z9OmTXzsYx/DbDZzwQUXALBp0ybOO+883G43AOeffz4vv/wyZ599NiUlJRx33HEAfOYzn+H++++f1wFO6TqB5uZoSPOGP/vrGyAYNAZZLNgrKnAeeigZH78Q+9Kl2KursRYVseOUU8f9M13ywl/Q/X4CzbvxNzYQaGjA39CIv7ER7wdbGPjz/0EoNj1Oc7mMil24WhdfubPk5KDN4LTYA52udDpHOqPVspahloTbbYNtDAQGEl5jNVnJd+dT4C7gmMJjYtWzcEjLd+djN9sndwJKwUAbtG+GtvegbbNxu2sHZygdvC7uy8ygzWImPxji+p5ezhhKvg6ZbyTACSHmjZvXL0tYAwfgtJq5ef2yKR136dKlvP322zz33HPcfvvtrFu3bqqnOrPWfT1xDRyA1Wk8PgUzGWQnc2G7adMmfvvb3wJw8skn09XVRX+/MaU2EghWrlxJKBRiw4YN0XOur6/nww8/ZPPmzZx66qmAsVaooKAg+vXPP/98AA4//PD9ChCTOf/ZdP1h1yesgQNwmB1cf9j1+33Ml156ib/85S+8+uqruFwuTjzxRA466CC2bNky5vgvfvGL3HTTTZx99tm89NJLCQHYbrfT6+ulbbgNi8WCpmkE9ABDwSEGvANjHm8m5d54Q8J6KQDN4SD3xhumfOxImAKi00sBTCZT9L7JZCIYDiW33HILZ5xxBs899xzHHXcczz//vHE+o6oBkfsOh2NS697Ge/1cU0oR6uyMBjTf9lrj844dqJHY32HW4mLs1dWkrjsFe3U19qXV2MvL0Wy2MY+7tz9Tk82GvbICe2XyxuUqECDQ0oK/sdEIdg0N+Bsb8G3fzsBf/wqBQMIxbSUlRuWutCwa8GylpVjy8yXc7YUv5EtYa5awDm2wlbbhNoJ6MOE1qbZUCtwFFLmLWJO3JiGcFboL8Tg9mLT9+L4H/dC5PRzW3jc+2jfDcFdsTEYp5K+CmvPhjYc4Y6iLM4aGE4+TXrIf34nZJQFOCDFvRBqVfPf5D2npHaEww8nN65dNuYFJS0sLWVlZfOYznyEjI4Mf/OAH7Nq1i/r6esrLy/n1r38dHXvCCSfw5JNPcvvtt/OnP/2Jnp6eKX3t/RJpVPLCndDXDOnFRnibYgOTmQyyk7mwnczrTSYTVqs1enEaeb1SipqaGl599dUJX282m8f9ehaLBV2PTceN3/R4quc/3SKNSu57+z7ahtrId+dz/WHXT6mBSV9fH5mZmbhcLrZt28Y///lPRkZG+Nvf/kZXVxdpaWk89dRTHHLIIdHxRUXG/3uPPf4YutLp9/UzHBhG9+m0DLYkTa1VKPp9/dT31WM2mTFrZiwmS/JnkxmLZpm2EBJparHnnnsJtrZiKSgg98Yb5qTZxc6dO1m5ciUrV67kjTfeYNu2bWRkZPD6669TV1dHWVkZv/71r7nqqquSXrt27VouueQSbrnlFpRSPP300zzxxBMANDY28uqrr3LMMcfw5JNPcvzxx8/2WyM0MICvdkds6mN4+mOoNzblzOzxYK+uJuPCj2GvrsaxdCm2qiWYU9wTHDnZVP5MNas1HMTKYG3icyoYJNDWhr+hgUB8wKurZ+hvf0fFhzubDWtJSbR6Fw155WVY8/PRLIv7MlopRZ+vL2ndWfx0x25vd8JrNDRyXDkUugtZmb2S01JOi65Fi6xBS7GlTP3khrtjAa0tHNg6toEe/vOzOCB3OSz7qBHY8g+GvBpwpMeO4amakV+WzobF/ZMnhFhwzl1dNO0dJ99//31uvvnmaDj48Y9/TGtrKxs2bMDtdnPEEUdEx95xxx188pOfpKamhmOPPZbS0tJpPZdJW/Xxae84OddBdu3atfziF7/ga1/7Gi+99BLZ2dmkpU1usfiyZcvo6OiIXsAGAgG2b99OTc3403JTU1MZGIhVg8rLy6Nr3t5++23q6uqm9oZm2BmVZ0xrx8kNGzbwk5/8hOXLl7Ns2TKOPvpoCgoK2LhxI8cccwwZGRmsXLUSf8hP50gn133lOs674DzSMtI44vgjGAmO0DTQxGBgEBVU466LVOH/vEEvIRUipI/d6Q2MTnBmkzka6CIhL3LfbEoMfhP9Vj79rLPmRXfCe++9l7/+9a+YTCZqamo4/fTTefXVVzniiCO49tpro01MzjvvvKTXHnbYYVxyySXRNZdXXHEFq1evpr6+nmXLlvHAAw9w2WWXsWLFCq6++uoZew+6349/166k6Y/Blti0XpPLZVTUTj0Fe/VSo6JWXY3F45m285iJP1PNYsFWXIytuBjCU1IjVChEsL09VrlrjIW8oVdfTagGYrViKyqKhbpwUxVbaSnWoiK0aW7kMxOCepCO4Y6kdWctQy3R2yPBxOmEDrODfHc+hSmFLMtallA9K3AXkOfOw2qaxveuh6B7V2JYa98M/XFbDKXkGwFtyTqjoVf+SsiqAvNeYs4M/bJ0NkiAE0IseuvXr2f9+vUJjw0ODrJt2zaUUlxzzTWsWbMGAI/Hw5///Oe5OM0ZN9dBduPGjVx22WWsWrUKl8vF44+P01FzDDabjf/+7//muuuuo6+vj2AwyA033DBhgDvppJO4++67OfTQQ7n11lu54IIL+NnPfkZNTQ1HHXUUS5cunfJ7Wkjsdjt/+OMf8Ot+/KHwh+6nbHUZx55zbMI0p/ahdo457RheOv0lbCYbNnP4w2Tj/rvvx6yZqe2pJaAHeKPhjejrrvnyNVhNVirSY9PalFIEVZCQboS5yO3Rn/26n5HgCCE9lNSwIMKkmRIqe5GQN16Fz6SZplTlKy8vZ/PmzUm3wdgzb6xxP/jBD8Y8VlpaWvQXCPEGBwcT7t90003cdNNNSeMsFgs///nP9/k9TESFQgSamvBGq2m14XVq9bE1ZFYr9ooKXIcdjv2i8NTH6qVYCwsW3fRCzWzGWliItbAQ99FHJzyndJ1gR0di5a7R+Bh+403UcNw0PLMZa1FR3Lq72Jo7a3ExpnGmjU634cBwwrTGyLqzSDjbM7wnqZV+pj2TfHc+FekVHFt4bEJjkIKUAjLtM9jt0zcA7VuMtWqRsLZnCwTC31uTBbKXQfnxkHdwuKq2ElJy9v9rzsAvS2eDNiMtsqdozZo16s0335zr0xBCTIOtW7eyfPnyuT6NJPfccw+PP/44fr+f1atX89BDDy2qltyTNTg4SEpKSjTIVldXc+ONN871aYkpiIShaEgLBzV/yJ+0FsViskSDWXxIs5qtWEwT/46319ebNI1S0zQKUwrJsGfs9/krpaKVu5AKEdSDsQAYvh/9HA6A413LaJqWUNFLqPCNEwBn4uL0pZde4nvf+96YAW4y6uvrOfPMMxMC5FjG+/tWKUVwT0d0ymP0886dCVUla0lJuJHIEhzhhiK28vIFUU2aS5F1gGNV7vwNDejxId1kwlpQEAt1cd0yrSUlmMJdSyfzNbu8XYnTGiex91meK4+CFGOtWaSSFgln+a58XNZZ+HdQKaNRV6SaFmku0hM3K8KREaumRcJazkFgmWTzkkVC07S3lFJrkh6XACeEmEnzNcAJgwTZhSmoBxOCWfzt0VMWoyFtjKBmNk1t0+heXy97hvYQ0ANYTVZy3blTCm/7KxLuJqrwRT/rQXQ1/tYkCdM3IwFvgime+9VsYYZs3bqVpUVFCevTIlW1UF9svytzTjaO6uqEqY/2qipM7n1bpyb2TilFqLc33CmzIaFyF2hoSPhzAbDk5xsNVEpL8BZk0pftpD3LRGOan5ZQ14R7n7ksroT9zka31s9x5kz5//l9FvBCx9a4sBaeCumNvG8NsiqNgJa/0qio5R8MaUUwTxr1zCUJcEKIOSEBbvHo6uoas/HJCy+8gGca172IWBVqdDiLfIye9mQ1WWPBLC6oWU3W2b9gWwB0pY9d0RunwjfROj6TZkqavjnRFM+pTuuMULqO8vnQfT6U14vu9fJhXT3WuLVxJrc73PFxadznJViysqb89cXUDPgHaBlsob11J927tjBSvwu9cTeW1k5S2gfwdAVIH9UcsTfVRF+OE29+JhTnYy0tJa1yGdnVB1OYW7X3vc9m2uCexFb9bZuNrpCRv6+sbqORSP7B4araKqPRiH0amposUuMFOFkDJ4SYcUqpedPyWuw/j8cT3bdNTF1kbdhYUx39IX9SlchqtmIz2UizpyVV0+ZTFWghMGkmTGYTViY3NTB+WudElb2AHjDW8anQhNM6RzdoGavqFwt/JpQ/YIS0aFjzofy++IOi2WyYbFZyvnST0f2xuhpLYaH83TsH4vc+G2sN2ph7n2VYKSgqoMC9PFo5KyKTgj6N7M4Arj39pDe1GFW82gZC/3gTiBU72j0eeiJr7srLEqZnmifZLGrSQkHoqk1s1d+2GYb2xMaklxghbfmZ4bC2EjIrYJGtm5wrkwpwmqZtAO4DzMDDSqm7Rz3/eeAaIAQMAlcppbZomlYObAU+DA/9p1Lq89Nz6kKIhcDhcNDV1YXH45ELCXHAUUoZ0x3HmOo4VkiLBDKXxZW0Jk1C2tyJhC6LyYKdva/BUUoZVb5JVPZ8ykdID6ErHbMOtoDCFiThQ4vLgiGLCd1mQbncYLehOeyYbHb6ewewatlkHHPpXtcviqkZvffZ6DVoY+19lmZLM0JZirH3WaG7kPyUfKPFvrtgn/c+04eG8Dc1JXfLfO01+n7/+4Sx5oyM5G6ZZUbIM2dkTPxv80hvYqv+9vdhzzaITN8024y1adWnxSpreTXgkirvTNrrFEpN08zAduBUoBl4A/ikUmpL3Jg0pVR/+PbZwBeUUhvCAe4PSqmD9+WkZAqlEItHIBCgubk5Yc8tIRYThULXdYIqmHBxHrkd31FRQ0tqjT/TDTTE/KN03dhvLBhEBQKo8GfirsmUSUOZzehmjZBZI2SGoAlC6OhKTwj/CkXTSBMPNT7EQGiANFsaWY4sMh2ZZNgzorcz7ZlkOjLJcmSR4cggy2487rBMrnHGgWD03mcJm1SPs/eZSTOR48yhMCXcGMRdmNRef1r2PpskfWQEf1PTqG6ZDQQaGgm0tib8nJnS0sLdMkuw5qRhS9Ox2fqwabsx929F62+OHdidE2sokr/KuJ1dDWZpcjNTpjKF8khgh1JqV/hAvwLOAaIBLhLewtwwTv9fIcQBx2q1UlFRsfeBQsxjQT1I61ArTf1NNA400jjQGL3dPNCMX/dHx9pMNkpSSyhJK6E0tZTS1NLo7Xx3vlRHDiC614tv585oI5FIB8hgezuRqG5KSYlboxZuKFJdjSUzc8JjB/Ugvb5eerw99Hh7KPQVcl3udfR4e+j2dtPjMx5vHmzm/c736fX2ElRjb0rvtDiNkBcOeKPD3ujHUqwpC/aXDWPtfTZ6H7Sx9j6LhLHI3mfRsJZSSK4rd3r3Ppsik9OJY+lSHGNslaL7/QTqavG/+wr+D98hULcTf8sORv7+Hv1DGqjYn6vJbsaat9IIeEtWYKtcbnTLLC3DkpuzYH8GFoPJ/CtSBDTF3W8Gjho9SNO0a4CbABtwctxTFZqm/QvoB25XSr28/6crhBBCzIyAHqBlsIXG/nBAG2iisd/43DzYnDAlymF2UJJWQkV6BR8p/khCWMtz58l0xwOMCgbxNzYmBTV/YyPoRqVMs9mwVVXhPvqohMYilvz8/boQtpgsZDuzyXZmT+4claLf328EPp8R8nq9vdHbkSDYOdLJjt4d9Hh78IbGnjlhNVnHDHsJgS/usXRb+n410/njrj9y39v30TbURr47n+sPu36vm9vvz95nWY4s8t35VKZXcmzhsQmt9QvcM7z32UxSCvpbElr1m9o3Y+/aiT1Sa6lOh7XG1EeVvZyAysM/ZMPf3Bqt3PkaGhn4568hGPs7UHM6k/e5C6+5s+TlLbo9AuebyUyh/BiwQSl1Rfj+vwFHKaWuHWf8p4D1SqmLNU2zAylKqS5N0w4HngFqRlXsIq+7CrgKoLS09PCGhoapvC8hhBAiiT/kp3mwOVZJCwe0hv4GWodaEy7sXBYXpWmllKSGw1n4dllaGTlO+e3zgUgpRbCtLSGkebfX4t+5E+UPV2E1DVtpaWLnx6XV2EpL0SwLq/o6HBiOVvK6vd3Ril984Ov2hYOgtyepMUeESTORbktPCHkZ9oxY4LMnPp7lyOLPDX9m4z82JoRIh9nBl9Z8iYOzDx5z77OWoRb6fKPa8msW8tx5ya31w2vQCtwFOC3OGf0+zoqgHzq2xa1XC2+GPdITG5NZHuv+GFmvllE6qXb9Khgk0NoaW3MXtyVCoKnJmAIcptlsWEtLsJWVx9bchSt31oJ8NLN0xp2s/d5GQNO0Y4CNSqn14fu3Aiil7hpnvAnoUUqlj/HcS8D/U0pNuMBN1sAJIYTYX96gl+aB5oQqWsNAA039TbQOtSasSUuxplCaFp7mmFpCaVopZWlllKSW4HFI450DWai3F29k0+va2mh1TR+IhRRLXt6oNv3h/dQmuRnzYhMIBZICX3zYG1356/X1jrsnn4aW8P/qeNxWdzScJaxBCwe1Odn7bKYNdSZ2f2zfbIS3yCwBixPyVsS6P+avhNwV4JjmbpRhKhQi2NYWt5F5XMhrbEL54jqmWq3YiovH7JZpLSxccL/kmGlTCXAWjCYm64DdGE1MPqWU+iBuTLVSqjZ8+yzgDqXUGk3TcoBupVRI07RK4GVgpVKqO+kLxZEAJ4QQYiLDgWGaBpqi1bOmgVhFrX24PWFsuj09GtAi4SwS2jLse+nAJhY9fWQE346dCVU13/btBDs6omNMaWkJa9QcS5diX7IEc8bsb1q+mIT0UHRa5+jA98N3fjju6+4/6X5jmmNKAanW1MX7/7Aegq4dyWFtoDU2JrUwbl+1g42NsD1VME9Cq9J1gnv2JHXLjGxmrobjNruzWLAWFcZ1yyyLTc8sKkKz2ebujcyR/W5iopQKapp2LfA8xjYCjyilPtA07U7gTaXU/wDXapp2ChAAeoCLwy8/AbhT07QAoAOf31t4E0IIMX36nn2WPffcS7C1FUtBAbk33kD6WWfN9WlNyqB/0Aho4epZ/JTHjpGOhLFZjixKUks4quCopCmP6fakCSHiAKSCQfwNDaOmP24n0NgU7cqn2e3Yq6pwH3tsdOqjfelSLLm5izckzCGzyRydVllJZcJzv639La1DrUmvKXAXcFLpSbN1irPH2w/tH8Ra9bdthj1bIdJQxWSFnGVQeWJiWHN75vKs90ozmbDm52PNz8d91JEJzymlCHZ0jNkts+/tt9GHhmKDTSashYXGVMzIlgiRgFdcjMm+9+09FpO9VuDmglTghBBi6vqefZbWr30dFbeFg+ZwUPDvd86bENfn64tOc4yf8tg40JjUqjvbmR0NZvGdHUtSS0i1pc7ROxDzjVKKYGtrbPpjeOqjf+fO2DodkwlbWVls6mO4umYrLZX1OfPEH3f9ccw1cBuP3bjXRibzmlLQ2xCrpkU2w+6N6/3gzIoFtPyVxu3sZWA5cCpQSilCPT346xuSK3cNDej9ce00NA1LQX7CPnfWSAWvpASTc/w1jvP9l5z7PYVyLkiAE0KIqdGHhtixfgOhzs6k50xpaeTedCOaw4HJ4Qh/dmJyOuIei93XrNb9rj4opej19SZUz+Jb8Pf6ehPG57nyktakRW67rK79OgexeAV7epI6P/pqa9EHB6NjLPn5iVMfq6uxVVUdcL+xX4j2pwvlvBIYgT1b4sJa+LMvEj408CyJmwIZbi6SWjCpxiIHslBvbzTMxRqrGAEv1NOTMNaSl5dYuQuHvJEPPqD9P745r3/JKQFOCCEWGaUUoc5OfDt34a/bhW9XHf6dO/HV1RFsTZ56tN9Mprig50BzOhPvOxwErBpD5iADJj992gg9+hCdaoB2vZd+kw+/BXxWCFg0UlOzycrIJzuzmPysUgo8ZRRlV1HiqcRpk5AmkunDw+H91LaHA9t2vLW1hDpiv6AwpafjiKxTi6usmdNmpnGDEFFKwWB7rJoWCWtdtRBp0mJLiZv6GG4ukrscbO65PfdFKNTfj7+xiUBjgxHy6huia+7G+qXmaJbCQqpffGEWznTvJMAJIcQCZewx1RQOabvw79yFr24X/l11CR3xTC4XtspKbJUV2Csr6X78Z0m/iQSjIlHx1G/QvV70kRGUz2d89nrRR7woX/izdwTd60P3jqCPjDA82MPgQDcjg734hvsJDA8RGhlG+XxY/Tr2ANiCYAuALZT0ZSdFczgw2e3JIdFpVAk1hz1WLbQ7wlXCyFg7JqczVlF02BMqidHKosMunc7mKRUI4K+vj65P89XuwFdbS6Apbp2aw4G9qiqxTX91tWwsLGZHKACd2xNb9bdthuG4YJBeagS1/JWx0JZRDrI32pwLDQ4RaDKmY+6+4YaxB2kay7dumd0TG8d+NzERQggxO0KDg/jr6vDvClfTdu00Pjc2QtweO5bcXGyVlaSfdSa2yirslRXYKiuNzVPjLmCtRUU0334bJl/stbrdSu6XbsKSk5P09XWls2d4T3QNWuNAF039RhOR5oFmRiKL6TH2VipKLaIkdWXCurTctFIK3YVYMBnB0OtFjYwYYdHrjYXEcDhU3pGE0Kh7R1AjXnSf1/jsjY0N9PUlPzcykvQ+JsVqxZQwhTS+shgXEkcHwWhoHCNQjhEapzL9dDFTShHY3YKvdnviFMi6utjPutmMrbwcx4oVpJ97jjEFsroaa0mJrFMTs2O4O25ftXBzkY4PIRTe889sN6poyzYY0x/zDoa8GnBKd9L5ypzixrx8OY7ly2kvLCTY0pI0xlJQMAdntm8kwAkhxCxSShktlXclV9OC7XHt7y0WY55+ZQWp69ZFq2q2igrMqZNr2LGpxsTzp5v42Ivg6YeuNPjvk00cUdXLkpZXoy34I2vSmgaa8Ov+6OutJivFqcWUppZydMHRRlALNw8pcBdgMU38T4jmcmFyzeyUSKUUyu+PhcTRFcW40Kh7R1DhimIsHMaFxBHjfsEfMGwAACAASURBVKi7h4C3JTw2FkAJ7UdZMTL91OmcfGVx1NrESGUxoYI4eqzdjjYHv92fTAOAYHd33NTHcFDbsSOhw5ylsAB7dTUpHzkhWlWzVVTIOjUxO3QdunfFuj9Gmov0746NSckzAlrVybHmIp4lYJZL6YUq98Ybxmz0lXvjOJW5eUSmUAohxAxQfj/+pqZoSIuuUdu1K+HC1ZSSgq2yEntFBbaqWDXNVlKCZrXu/9dXinVPrUtqtz+a3WxParsfqablufIW3wa4U6ACgVhIHF1RjJ92upeKYlKQHFVRVHHV1n2RNP00Ghr3Ui2MBknHONNP48fGpp+O2eXUZiPt7LMxuZzRDpChrq7o8+aMjFGdH5dir14y6V9KCDFlvkGjXX98WGvfAoHw38ua2WjXP3q9Wkru3J63mBHShXIaSYATQiwUof5+/HV1SY1E/E1NCRUbS35+OJxVxapplZVYcqa+bkcpRfNAMx90f8CWri1s6dzClu4tDPgHxn3NI+sfoSS1hFxXLiZN1mXMJyoUigbEsdYkRkLiXiuKCWPjngtXFOOD1z4JTz/Vh4aMysUYNKcT+5IlSZtfm7OzZUqpmB1KQV9zYqv+9s3QXQeEr30d6Ymt+vMOhpyDwOqY01MXIkLWwAkhxH5SShFsazNC2q7wlMfw1Mf4LnhYrdjKSrEvXUrqhvXhkFaFrbwcc8r0dBpTStE82MyWri180GUEtq1dW+n3G22pLSYLSzOXsqF8A3+u/zN9/r6kYxS4Czgi/4hpOR8x/TSzGc3txuSe2e50Sqlxp5uOrijGqoSRsT56nnhinDegseytN+dkSqdYZN77DbxwpxHE0oth3ddh1ceTxwW80LFt1Hq1zeCN26Ykq9IIaId8MtZcJL1Y2vWLBUkCnBBChOl+P/76evy76oxqWiSw1dejhoej40xpadgrK0lZe0J0yqO9shJrcfG0djdUSrF7cHdCWNvStSUhrFVnVHNa+Wms8KygxlNDdUY1VrMx9fLwvMPZuOlreFVsSp5Ds3L9YddP2zmKhUvTtOgauv0x8MIL4zYAkPAmpuy938Cz1xl7qQH0NRn3vf2QVZG4r1rHh6DCMx6sLqORSM154U6QqyB3BdhT5u69CDHNJMAJIQ44od5eY6rjqLb8gabmhClh1sJCbJWVZKw5PDrl0V5ZidnjmfZpYEopWoZajLDWGQ5r3Vvo8xkVNItmoTqzmlPLTjXCWrYR1mxm27jHPGNwCDq7uC/NRZvFTH4wxPX9/cbjQkzRQm4AIGaAUqAHjTb7IX/4tj/8Eb6tB8LPB0bd98ce18P3X/j3WHiLCIzAc1+K3U8rMqppyz4angK50gh3snZXLHKyBk4IsSgpXSfQ0hqupO00qmq7duGrq0toqqDZbNjKy8PhrCLWlr+8fMY6KCqlaB1qTaqs9fqM6T4WzcKSzCXUeGpilbXMicNaksAI3LcKBvckP2d1G9OQTBYwW42LHZMl7sMMJuuo+5a48ZYxXjP6w7yP4y2yR9ICNN8bACxI0SA0RqhJCD+TGTM6ME0mVE1hzGy5+FljCqQra/a+phBzQNbACSEWJd3rxd/QYISz6Bq1Ovx1dQmVAXN6OraqKlJOOhF7XCMRa1HRjO4ppZSibagtKaz1+IwNti2ahaqMKk4uPZkVWeHKWmY1dvM+tE8f7jY2lG17H1rfM253bgc1doMJAkOw7Y/GRZgeMi689KDxMd5rZoUWF/hGh75xgua448cJldN2/LHGW4yW4mMFWdN4Qda8oNfgpJeNkH5WO/S1QLoJyvZzX76ZoNSoYDM6jIwVfsYbM9nANA1jZjoIRX4ezTbj5zvyEX3MYnw2hR+3po8/xmwL/9zbxhgTOXbcsaL3LXsf8+CJiW38I9JLoOKEmf0eCTHPSYATQiwIwZ6ecEgzqmmRRiKB3buNCzUATcNaVIStsgL3UUcldnvMmvnf1CqlaB9u54OuD4xpkN1Gg5FubzcAZs1MVUYVJ5acGK2sLc1aOvmwppSxDqQ1HNYioa2vKTYmtRAKVsHys+HN/4LhruTjpJfAjZvH/hq6bqwliUyFioa8cMDTA6Puh58PBRLvTzg+aFwojz5GdPzoY0xyfMC//8efS/sS+MYNiNMVQkePn+Cc6v4Or9wHIZ/xPvqa4PfXwp6tUHbsONWayQamaRgz03+ukRCSEDwmCCxW19RDjSnu9t6C11hjFlKl+5SNiWvgAKxOo5GJEAc4mUIphJg3VChEoKUlNuUxrpFIqDfWTUyz27FVVMStSwvvnVZevt8NGfb5XMNhbXRlLT6sVWZUJkyDXJq5FIdlkucXChpVtGhl7V3jc7SrmgbZ1cYC/YJV4TbYq8CdHTvG6CYAYFwAnXX/2J3cDlRKjR1K9ylQjlHNjH9NaJzgu0/jxwul+3l85sm///EhZV/CyJTGTDYwTTBmAVdOF4zJdqEUYpGSfeCEEPOGPjyMv74+urG1b5cR0vz19Si/PzrOnJUVDWmxaloV1sLZ7XKnlGLP8J6ksNblNapbJs1EZXpcWMs2wprT4pzcF/APGRvLtr0XmwLZviVW2bA4jC5qBauMkJa/CvJWgG0SbeblAkiMR9f3EhDjQt9Y1djHz2LsEKjB5f+XGHomClUShIQQYkyyBk4IMauUUoS6usLhrA7frlgjkUB863GTCWtxMfbKStzHHx/b7LqiHEtm5pyceySsxQe2zhFjv7dIWDuu6LhoZW1Z1rLJh7Whzlg1LRLYunYQ21g2wwhqR14Zq655qo2L3v2x6uMS2MTYTCYw2YB9aI4TL704cfpu/OMlss+gEELMFAlwQogpUcEggebmcDVtZ6yqVleH3hfbRFpzOrFXVOA87DDSP3ZBtJGIrawMk30fGnZMs47hjqSw1jHSARhhrSKtgmMLj02YBumyTqI7pVLQU58Y1Nreh4G48JpeYoS0lR+LTYGUjWXFQrHu67JGSQgh5oAEOCHEpOhDQ/jq6sMhbVd0jZq/vgEViHVNM+dkY6+oJO30DeGQZqxRs+Tnz/nmvp0jnbGg1mmEtj0jRpt9DY2K9AqOLjg6Og1yWeayyYW1UAA6tiV2gWx7H3zGhttoZsheChVrY0Etf6W0wBYLW6SyK1N0hRBiVkmAE0JEKaUIdnTErUuLrVELtrXFBprN2EpKsFVWkvKRj8T2TquowJyePndvIE4krMVX1vYMx8JaeXo5RxYcGa2sHZR10OTCmm8A2jaHK2vvGoGtY5vR9Q6MTnN5NbDyQiOkFawy1q9ZJznFUoiFRKboCiHErJMAJ8QBSAUC+JuawuEssZGIPjgYHWdyubBVVuI68oiEvdNspaVotv1cNzMDuka6ksJa+3A7EAtrR+QfEd1n7aCsg3BbJ9EAZKA9Mai1vQ/du4iuV3N5jGra0VfHmot4qow260IIIYQQM0ACnBCLWGhwMKGaFm0k0tgIwdgeSZbcXGyVlaSffXasLX9VFZbcXLR5th6r29sdC2vhvdbahmLVwfK0cg7POzxaWVvuWb73sKbr0FOX2AWy7X0YbI+NySgzqmmHfCLWXCS1QNarCSGEEGJWSYATYoFTShFsb4+rpsUaiQT37IkNtFiwlZZir6ok9ZRTjGpaVZUx7TElZe7ewAR6vD1JlbXWodbo8+Vp5azOXR1t3788azkptr28l6DP2Gg4fiPsts3gHzCeN1kg5yCoWhebApl3MDgzZvCdCiGEEEJMjgQ4IeZY37PPsueeewm2tmIpKCD3xhtIP+uspHHK78ff2Bid6hi/Rk0fHo6OM6WkYKuqxH3ssXGbXFdhKylGs1pn863tk15vrxHWusOVta4ttAzFOjaWpZVxaM6hfOqgT0WnQabaUic+qLcvHNDej02B7Nhq7GEFYEsxwtmhn4w1F8ldDpa564ophBBCCDER2chbiDnU9+yztH7t6yivN/qY5nDgueJyrAWF+Otia9T8TU0QCkXHWfLzR21ybaxRs+TkzLtpj6P1+foSNsTe0rWF3YO7o8+XppaywrMi1mDEcxBptrTxD6gUDLTGBbXwPms99bEx7ty4jbBXQsEhkFlh7IUlhBBCCDHPjLeRtwQ4IeZQ7cnrCMZvaj2a1Yq9vAxbRWXclMdKbOXlmFMm0YRjHujz9SVMgRwd1kpSSxLC2nLP8onDmh6Crp3h6Y/vxULbcGdsTFZlYlDLXwWpeTP4LoUQQgghptd4AU6mUAoxh4KtreM+V/W/f8JaXIxmWTj/m/b5+tjavTU6BXJL1xaaB5ujzxenFFPjqeHCpRdSk13D8qzlpNsn2HYg4IU9WxI3wm7fDIHwlFGT1ZjyuGxDrAtk/sFg38vUSiGEEEKIBWrhXBkKscgoXUdzOlFx69ciLIWF2MrLZ/+k9kG/v5+tXVsTKmtNA03R54tSiljhWcEFSy+INhmZMKyN9CRvhN3xIajwtFF7mlFRO+yzsS6Q2cvAMn+2MxBCCCGEmGkS4ISYA0op2v/jP4zwZrEktPTXHA5yb7xhDs8u2YB/ICmsNQ40Rp+PhLXzq883pkNmrSDDMU7XRqWgf3diUGt9D/pixyO1wAhpyz4aW7eWUSbr1YQQQghxwJMAJ8QsU0rRftdd9Dz5S7IuvRT78uV03Lv3LpSzZdA/mDgNsnsLDf0N0ecL3YWs8Kzg3CXnRtesZToyxz5YKAhdO8JTIN+NdYQc6Q4P0MCzBEqOgCMui02DTMmZ+TcqhBBCCLEASYATYhYppdjz3e/R87MnyPzsv5H75ZvRNI2Ms+cmsEXCWqTJyNaurdT310efL3AXsMKzgrOrzo6GtSxH1tgH8w8b69Va341V1to/gGC4w6bZDnkrYPmZ4SmQh0DuCrDPzz3ohBBCCLG4PfOv3Xz3+Q9p6R2hMMPJzeuXce7qork+rb2SACfELFFK0XHPvXQ/8giZn/okebfeOqvt/ocCQ0nTIOPDWr47nxVZKziz8kxqso01a+OGteHuxKDW+h501YLSjecd6UZIW3N5bApkdjWY5+8+dEIIIeaXhXpxLeY3pRRKGT9fX33mfbwB49pld+8It/7ufYB5/3MmAU6IWdL5gx/S9eCDZFx4IXm33z6j4W04MBybBtkdDmt99SiMbUPyXHms8KzgjMozog1GPE5P8oGUgt7GxC6Qbe8Za9gi0oqNkFZzbqx1f0YpzPO96IQQQsxfv3uria8+sznh4vorv32Phu4h1lbnYOyCpdCV8U+VHr4oV4Q/Rx4jdsGuUOg60cf08DGMseHnlfEcxI4ZeSz+WHrC1zKe0/XIGOO18cdQcbeJGxv/fOzYseNM7tix7wPR9xh7LP489VFfS8WNj7wv4r4Pxjkmjk/8fu/lvCPjJvieMOq1sdeMemzcYyd/jyPvP/HYkT/z8Y0EQnz3+Q8lwAkhoPPHP6bzRz8i/fzzyf/GRrRpbMYxHBhmW/e2hMpaXV9dNKzlunJZ4VnB6RWnR8NatjM7+UChAHRuTwxqbe+Bt894XjNB9lIoOy68v9oqyFsJ7jGCnxBCiAOeNxCibyRA/0iAvvBHvzdA33CAvpGgcTvyeNznfm+QQV8w6Xi+oM49/1fLPf9XOwfvZuZpGpg0DS18WwvfNmmacT98m8htU+LzoGHSRh8n/NqxHks4thb9mpFjaOHjET2PuOfDJ2E8ZsJkSjxG/Pj4r2mK+1qR9xL/niO34x83xb2Hsb4nsWMnHme8Y0fG3/uXsX+OWnpHZuqPeNpMKsBpmrYBuA8wAw8rpe4e9fzngWuAEDAIXKWU2hJ+7lbg8vBz1ymlnp++0xdi/ut86CE67ruf9HPOpuDf75xSeBsODPNhz4cJ+6zt6tsVC2tOI6xtKN8QnQY5ZljzDRrr0yIhrfU92LMVQj7jeYsT8mqg5vzwFMhDjP3WbK79PnchhBALi64rBv1B+oYD0bDVPxKgfySYGMhGhbBIOPMH9QmP77aZSXNaSXdaSXNaKc50kV5o3H/klbpxX/fopUckXMSPddGfEERGP0ZcIECLho/I+FgQGmP8OMeIP49oyBojhDDGeUeOK2bXU282s3uMsFaY4ZyDs9k3ew1wmqaZgQeAU4Fm4A1N0/4nEtDCnlRK/SQ8/mzg+8AGTdNWAJ8AaoBC4C+api1VKrKxkxCLW9ejj9Hxn98n7aMfpeBb30Izm5PG/HHXH7nv7ftoG2oj353P9YddzxmVZzASHOHD7g8TKmu7+nahh9eZZTuzqfHUcFr5adHKWo5rjO6Ngx3Q9m5iZa1rJ4RDH84sI6QddZUR1PJXGp0hzVKgF0KIhS4Q0mPVLW9wnIpXfAiLjRnwBiaccmbSIM1pJc1hhK50p5X8dEc0kMU/Hglq6U4raQ4LaU4rVvP4v9B8/oO2MS+uizKcnLQsdzq+NeIAd/P6Zdz6u/cZCcRiidNq5ub1y+bwrCZnMldoRwI7lFK7ADRN+xVwDhANcEqp/rjxbqJXhpwD/Eop5QPqNE3bET7eq9Nw7kLMa90/e4I93/42qevXU/idb48b3jb+YyPekNGpsXWolds23cb33/w+nd7OaFjzODzUZNdwStkp0bCW6xr1D5iuQ/euxKDW+h4MtsXGZJQa69RWfjxcWVsJaUWyXk0IIeYppRTegD7GFMSxg9foQDbsn/h35jaLKRqq0p1WslNsVOa448JWLIClOS0JgSzFZsFkmpl/PxbyxbVYGCLr3BZio5zJBLgioCnufjNw1OhBmqZdA9wE2ICT4177z1GvHfO7omnaVcBVAKWlpZM4LSHmr55f/pL2b32LlFPWUfS976JZxv5f7b6374uGt4iQCtHn7+PKlVcmhLWE6RVBf/JG2O2bwRf+XYpmhpyDoPLEWBfI/IPBOc5+bUIIIWaMrisGfMGEqtfYUxATpyZGpiv6QxNPRUyxW6JVrXSnlZIsFwcnBDAL6a7EilgkhDmsyb9cnA8W8sW1WDjOXV20IH+mpm2OlFLqAeABTdM+BdwOXLyPr38QeBBgzZo1e+kRI8T81fPUU7R9405STjyR4u9/H806fuv8tqG2MR/3h/xcu/pa4463HxpfjausvQt7toEeMJ63uo1wturjsS6QuSvA6pjutyaEEAcsf1CfsOlG30ggYa1YfLVswBeMdh8ci9mkJQSwdKeVogxn3PowS1JFLDZN0YJlgqmIC9lCvbgWYqZNJsDtBkri7heHHxvPr4Af7+drhVjQep9+hrav34F77VqK7r8PzWYbd2zbUBsmjO4+o+VrFvjNZ43Q1hO3kNuVbVTUjlkXq6xlVYJpfv4GVQgh5gulFMP+UCxgDe/bmrD4qXxjsUemIobDVV6ag+rclMSwNTqEuYwAlmK3SBMLIcSkTSbAvQFUa5pWgRG+PgF8Kn6ApmnVSqlIL84zgMjt/wGe1DTt+xhNTKqB16fjxIWYb/qefZbWr34V9zFHU/yD+zFNEN46Rzq58s9XYtF1zCj8cZ0pHbrO9Z2tYNONatrqT8eai6Tmy3o1IcS8MdsbLYd0xYB3Ml0QY+GsP+7x4F42gUq1W+KCloWKbPf4jTjCVbFIs475OhVRCLH47DXAKaWCmqZdCzyPsY3AI0qpDzRNuxN4Uyn1P8C1mqadAgSAHsLTJ8PjfoPR8CQIXCMdKMVi1P/cc7R85RZcRx5J8QMPYHKMP32xx9vDlX++kvbhdh5u28Nui5n7MjNos5jJD4a4vqeXM4ZG4OZ3ZvEdCCHEvnnmX7sTmkzs7h3h1t+9DzBhiPMFQ+M33Rg9BXFUUBvwJu8NFs9s0pI6HZZkOkd1QEwOYelOKyn2xTsVUQixuGhqoknZc2TNmjXqzTffnOvTEGJS+p//M7tvugnn6kMpffBBTK7x90rr9/dzxfNXsKtvFw8ccydH/eLfQB/jgiS9BG7cPINnLYQQU3Pc3S+O2eY91W7hgsOLx6mKBfAGJm7I4bCaxl/vFRfOxqqKuWxmmYoohFg0NE17Sym1ZvTjstGTEFMw8MIL7P7Sl3CuXEnJT346YXgbDgzzhb98gdreWu5fcytHPfsVo1uk2RzbQBvA6oR1X5+FsxdCiL3rHfZT3zVMfecQ9V1DNHQNU981NGZ4AxjwBfnt280JIawqJyW5GccYa8LSnBbsFpmKKIQQE5EAJ8R+GnjpJZpvuBHHihWUPPQg5hT3uGO9QS/Xvngtmzs385+HXM/aP9xmVN4u+1/o2gEv3Al9zZBebIS3VR+fxXcihDiQKaXoHvJT3zVEfecwDV1D1HfFPveNBBLGF6Y7KPO4cdnMY+4xVpjh4B+3rJut0xdCiAOOBDgh9sPgy5vY/cXrcFRXU/rwQ5hTU8cd6w/5ueGlG3iz7U3uWnE56567A+wpcMkfIGcZFB0mgU0IMaOUUnQM+IxKWtdQQkhr6BxmwBebym3SoDDDSUW2m7MOKaDc46bM46bc46IkyxVt1jF6DRwYGy1/ef1Bs/7+hBDiQCIBToh9NPTqqzRfey22qipKH/kvzGlp444N6AFu/tvNvLL7Fe6s+gRnPH8XpBfBvz0DGSXjvk4IIfaVrivaB7xjVtEauoYSqmVmk0ZJppMyj5vDSzONgJbtoszjpjjTOalpjLLRshBCzA0JcELsg6HXXqfp6i9gKy2l9NFHMGdkjDs2pIe4bdNtvNj0IrcWn855L37f2GD7M7+DlJxZPGshxGIR0hWtfSPRdWgNo9am+YKxBiFWs0ZJlotyj5ujK7PClTTjflGmE+s0dFyUjZaFEGL2SYATYpKG33qLpquvxlpUROljj2LJzBx3rK50Nr66kT/V/Ykbc4/nUy8/CGXHwid/CY70WTxrIcRCEwzptPR6o1Md66IVtSGaukfwh2IhzWYxUZZlVM5OqM6hLNuY6ljucVOY4cRsko6MQgix2EiAE2IShv/1L5quvAprbi6ljz6CxeMZd6xSirteu4tndjzD1RmHcNlrT8LSDXDhY0aHSSHEAS8Q0mnuGQk3DhlKqKg1dQ8nbDjtsJoo97hZkpvCKcvzotMdyz1u8tMcmCSkCSHEAUUCnBB7MfLeezRdeRXm7GxKH38Ma27uuGOVUtzz1j386sNfcYmriqv/9SysugjOeQDM1lk8ayHEXPMFQzR1jyS132/oGmZ37wihuJDmtpkp87hZXpDKhoPzqYhMd8x2k5tql73NhBBCREmAE2ICIx98QOMVV2LOyKDs8cew5uVNOP4n7/6ERz94lItsBdz0wV/RjvwcbLgbTFNfayKEmH+8gVBcMItrHNI5TEvfCCqW0Ui1WyjPdrOqOJ1zDi2MdnYs87jJTrFJSBNCCDEpEuCEGId32zaaLrscU4qb0scew1pQMOH4RzY/wo/e/RHnmjL56oevoX3kFjjxFpCLMiEWtCFfkIau0Z0djUpaa583YWyGy0qZx80R5ZmUeYqjnR3LPW4yXVYJaUIIIaZMApwQY/Bu307jpZehOZ2UPf44tuKJu6w9ufVJ7nnrHk7Hzcad72La8G04+vOzdLZCiKka8AaSOjtG7u8Z8CWMzU6xUeZxc0yVJ6GzY5nHRYbLNkfvQAghxIFCApwQo/h27jTCm8VC2WOPYiuZeL+2p2uf5q7X7+KkkI1vNm3HfN5P4ZBPzNLZCiEmq284YDQNiVuPFglqXUP+hLG5qXbKPW4+sjSH8uxYSCv1uEhzyHpWIYQQc0cCnBBxfHV1NFxyCWgapY8/jq28fMLxz+16jjv+cQfHBU18r6UJ6yd+ActOn5VzFUIkUkrREw5pkXVo9XHTHnuHAwnjC9IdlHlcnLoiL2E9WpnHhdsu/zwKIYSYn+RfKCHC/I2NNF5yKYR0yn72OPbKignHv9DwAl/ddCtrAop7Orqx/dvvoPz4WTpbIQ5MSik6B/3R9WijOzwOeIPRsZoGhelOyrNdfHRlQXR/tPJsN6VZLhxW8xy+EyGEEGL/SIATAvA3N9Nw8SUon4/Sxx/HvmTJhOM37d7E//vbl6jxB/lBjxfnxX+AwkNn6WyFWNyUUuwZ8FHXmdzZsaFriCF/KDrWpEFxposyj4tzS4ooz45V0kqynNgtEtKEEEIsLhLgxAEv0NJC48WXoA8NUfbYoziWLZ1w/Outr3PDi9dR7fPx40ET7kv/F7KrZ+lshVgcdF3R1u8NV9ASOzvWdw3hDejRsRaTRkmWEdKOrMgyAlq20dmxKMOJzSLbdAghhDhwSIATB7RAWxsNF19CqL+f0kcewbFixYTj39nzDtf+5WpKfCP81Oci7dJnIGPiJidCHKhCuqKldyS2Di0urDV0D+MPxkKazWyi1OOi3OPiuCXZ0SpaucdNYYYDi1lCmhBCCAES4MQBLNC+h8aLLyHU3U3pI/+Fc+XBE47/oOsDrn7+CnJ9wzwU8pB56TPgzp6lsxVifgqEdHb3jCRUzyKfm7qHCYRiO1nbLSbKPW4qst2cdFBuQvv9gnQnZpPskSaEEELsjQQ4cUAKdnbSeOmlBDo6KH34IZyHHDLh+NqeWj73p0tI8w3xsLmU7M88BY60WTpbIeaWP6jT1JO4Dq0+HNKae0YI6bGQ5rKZKfO4WZaXymkr8mOVtGwXeakOTBLShBBCiCmRACcOOMHubhouuYRAayulD/4U12GHTTi+rncXV/7hU9j9gzzsWkH+hT8Hq3OWzlaIqXnmX7v57vMf0tI7QmGGk5vXL+Pc1ckb03sDIZq6hxPWo0Xa8Lf0jhCX0UixWyjPdnFwUTpnriqgLFxVK/O4yEmxo2kS0oQQQoiZIgFOHFCCPT00XnoZgaZmSn76E1xHHDHh+Oa+Rq549iJUYIiH0o+g5LxHwCz/24iF4Zl/7ebW373PSMDo2ri7d4Sv/PY93m3uJS/NkVBRa+33ouJCWprDQkW2m8NKMzl/dVF4M2ujw2OW2yYhTQghhJgjciUqDhihvj4aL78cf10dxT/+Ee6jj55wfFv/bq74/fl4g8M8knMilWf8EEzSSEEsDEopvvXcV8uI4QAAIABJREFU1mh4i/AFdR59pR6ALLeNMo+Loyo94f3RXNGQluGyzcFZCyGEEGJvJMCJA0JoYIDGK67EX7uD4gd+SMpxx004vrN/N1c+fTZ9upeHi89i2al3G7sCCzGPdQz4eGVHJy/XdrJpRwd7BnxjjtOAd+44jXSndXZPUAghhBBTJgFOLHqhwUGarrgS77ZtFN93HyknnDDh+N6+Jq58+hzalY+fll9IzUkbZ+dEhdhH3kCIN+q72VTbyd9rO9na2g9AhsvKcUuyeaW2k96RQNLrCjOcEt6EEEKIBUoCnFjU9KEhmq76HCObN1N07z2knnzShOMHehv43NPn0KgFeWDpZ1l93Fdm6UyF2DulFFtbB9i0o4OXazt5va4bX1DHatY4vCyTm9cvY211NjWF6ZhNWtIaOACn1czN65fN4bsQQgghxFRIgBOLlj48TNPnr2bk3Xcp+s/vkXbqqROOH+6q5Qu/v4DtJp37Drqco4++cZbOVIjxtfd72VTbycu1HWza0UXnoDEtsjo3hU8dVcoJ1TkcWZGF257813mk2+RkulAKIYQQYmGQACcWJd3rpekL1zD81lsUfuc7pG3YMOF4b/sHfPHZi3jfAt+t+RwnHPHFWTpTIRIN+4O8VmdMi9xU28mH7QMAeNw2jq/O5vgl2aytziE/3TGp4527ukgCmxBCCLGISIATi47u89F8zbUMv/YahXffRfqZZ0w43t/8Bjc+dzFv2Ex8a9UXOPWwL8zSmQoBuq74oKWfl3d08PL2Tt5q6MEf0rFZTBxZnsV5hxWxtjqb5flpsgm2EEIIISTAicVF9/tpvu46hl55hYJv/gfp55wz4fhg3d/58vNXsslp446VV3OmhDcxC1p6R8KNRzr4x84uuof8AByUn8olx5Vz/JJsjqzIwmE1z/GZCiGEEGK+kQAnFg3l97P7hhsZ+tvfyd+4kYwLLphwfGjbc9z24vW84HZwy8rP8zEJb2KGDPqCvLari5fDa9l2dgwBkJNq58RlOaytzua4Jdnkpk5uWqQQQgghDlwS4MSioAIBdn/p/zH44ovkfe12Mj9x0YTj9Xd/zZ0v38pzqW5uOPgqPn3YNbN0puJAENIV7zX3hpuPdPJ2Yw9BXeGwmjiqwsMnjyxlbXUOS/NS0GR/QSGEEELsAwlwYsFTwSC7v/xlBv7v/8i79RayPv3picf/8yd8+/W7+V16Kp+ruZTLD5eGJWLqmrqHoxW2f+zsoi+8/9rBRWlceUIla5dkc1hZpkyLFEIIIcSUTCrAaZq2AbgPMAMPK6XuHvX8TcAVQBDoAC5TSjWEnwsB74eHNiqlzp6mcxcCFQrRcsutDPzpf8m9+f+RdfHFEwxWqJfu5p73fsKTGWlcfNCnueZw2SpA7J9+b4B/7Ohi044ONtV2Ut81DEBBuoP1NXkcX53DcVUePCn2OT5TIYQQQiwmew1wmqaZgQeAU4Fm4A1N0/5HKbUlbti/gDVKqWFN064GvgNE5rCNKKUOnebzFgKl67Tedjv9f/gDOTfcgOfyy8cfrOvw/K385MMneTQzg4uWXsiXjvyKTF8TkxYM6bzT1Butsr3b3EdIV7hsZo6p9HDxseWsrc6hKsctP1dCCCGEmDGTqcAdCexQSu0C0DTtV8A5QDTAKaX+Gjf+n8BnpvMkhRhN6Tptd9xB3zPPkH3ttWR//nPjDw4F4PfX8lj9H/mRJ5Nzqs7mq0ffLhfZYkJKKeq7htlU28Hfazv5584uBnxBTBqsLM7g6o9UsbY6m9Wlmdgsprk+XSGEEEIcICYT4IqAprj7zcBRE4y/HPhT3H2HpmlvYkyvvFsp9cxYL9I07SrgKoDS0tJJnJY4UCmlaPv3f6f3qf/G8/nPkX3NBN0jAyPw1KX8qvVl/jM7iw3lG/jGsXdi0uSCWyTrHfbzj51dvFzbwcu1nTT3jABQnOnkzEMKWVudzbFVHjJctjk+UyGEEEIcqKa1iYmmaZ8B1gAfiXu4TCm1W9O0SuBFTdPeV0rtHP1apdSDwIMAa9asUdN5XmLxUErR/s1v0fvLX+G54nJyrr9+/Eqatx9++Ume7nqHb+ZkcVLJSXxr7bcwm6SJhDD4gzr/auwxpkXu6OS95l6UglS7hWOqPHzuhErWVudQ5nFJxVYIIYQQ88JkAtxuoCTufnH4sQSapp0C3AZ8RCnlizyulNod/rxL07SXgNVAUoATYm+UUuz59nfo+fnPybr4YnK+9KXxL6qHOuHn5/OngZ3ckZPFsYXH8r2PfA+ryTq7Jy3mFaUUOzsGebm2k021nby6q4thfwizSePQkgyuO7maE5Zmc0hxBhazVGmFEEIIMf9MJsC9AVRrmlaBEdw+AXwqfoCmaauBnwIblFJ74h7PBIaVUj5N07KB4zAanAixT5RSdHz/+3Q/9hiZn/kMubdM0ICktwmeOI8X/O3cmpPNYXmrufeke7GZZdrbgahr0McrO7t4eXsHm3Z00trnBaDc4+KCw4o5vjqbY6o8pDkk3AshhBBi/ttrgFNKBTVNuxZ4HmMbgUeUUh9omnYn8KZS6n+A7wIpwFPhi+rIdgHLgZ9qmqYDJow1cFvG/EJCTKDj/vvpeuhhMj5xEXm3fXX88NaxHZ44l014uTknmxrPCh5Y9wBOi3N2T1jMGV8wxFv1Pfy9tpNNOzrYvLsfgDSHheOrs/nikhzWVmdTkuWa4zMVQgghhNh3mlLzb7nZmjVr1JtvvjnXpyHmiY4HHqDzBz8k48KPkf+Nb6CZxpna1vIv+PkFvGGzcLUnhcqMJTy8/mHSbGmze8JiViml2N4+GG088lpdF96AjsWkcVhZJmuXZLN2aQ4ri9Ixm2QdmxBCCCEWBk3T3lJKrRn9+LQ2MRFiunX+9EE6f/BD0s89d+LwVvcy/PKTvJOayTWZDopTivjpqT+V8LZI7Rnw8sqOTl7e3smmHZ3sGTCW3VbluPnEEaWsrc7mqEoPKXb5K04IIYQQi4tc3Yh5q+u/HqHjnntIO/NMCr75H+OHt23PwVOXsCW7jC+km8lxeHjotIfIdGTO7gmLGeMNhHi9rjtaZdvWNgBApsvK8dU5rF2SzfHV2RRmyFRZIYQQQixuEuDEvNT9+OPs+e53ST19A4V334VmHqf1/7u/gme+QG3RwXzOrZNqdfPwaQ+T48qZ3RMW00rXFVta+9m0w+gW+Xp9N/6gjs1sYk15Jl/esIwTqnNYUZCGSaZFCiGEEOIAIgFOzDvdv/gF7XfdTeqpp1L0ne+gWcb5Mf3nj+F/b6G+4liudAxj0+w8fNrDFKQUzO4Ji2nR1ueNVthe2dFJ15AfgGV5qXz26DKOr87mqAoPTpvs4yeEEEKIA5cEODGv9Pz6N7T/+3+QctJJFP3n99CsY7R2Vwpeugv+9m12L1vPFZZulA4PnfYQJWklyePFvDTsD/Larm7+XtvBptpOavcMApCdYueEpTkcH54WmZfmmOMzFUIIIYSYPyTAiXmj97e/pe2OO3B/5ASK7rsXzTbGvm26Dv/7FXj9QdpXXcjlqpkR/wiPrH+EyozK2T9pMWkhXfFBSx8v13bycm0HbzX0EAgp7BYTR1ZkceGaYtZW///27jzOpvrx4/jrMxuzMIMZ24wZ2yREaCwlUtnqV2ihkrI0SIp29S0S+Rb6VpTKFkqbNku+MYiSKIRsY2kwi8GMZcaYfe7n98fMtwjNqJm5s7yfj8c83HvO+dz7vuPU476dzzkngMtrVrr4bSJEREREyjkVOCkRkhYtIv750Xi3b0/Q1Km4XKi85WTBwodg+wIS24QTnrGXU+mnmNV1Fo2qNir+0JKv2JOp/LAvkbX7c6dFnkrNAqBJrcoMal+PDqEBhNWtQkV3TYsUERERKQgVOHG6pK+XcvjZf+HVti1B097CpUKF8zfKSoMF/WHfcpI6jWJI0iaOph7l3c7vcoX/FcUfWi7odHoWG6Jyrxb5w75EohLPAFCjcgU6N65Bh1B/2jf0x9/nAn/HIiIiIpIvFThxquRlyzg8ahRerVpR5+1puFS8wPlO6Unw0d0QvZ7T3V9maOL3HEo+xFs3vkWrGq2KP7T8LjvHwa9xSXn3Y0tgS/Qpsh0WT3dX2tWvyr3tQugY6k/D6j6aFikiIiJSCFTgxGlOr1xJ3JNP4XnlldSZ/i4uXl7nb5SSAPNvg2O7Sb3tHYYf/oY9J/cw5fopXF376uIPLUQfT/39wiPrfkvkdHo2xkCzQF+GXlefaxsG0CrEjwpumhYpIiIiUthU4MQpTq9eTexjj+PZtCl1ZkzHxdv7/I1ORcMHt0FSHOl9PmDEoS/ZlrCNyR0n0zGoY/GHLqeS0rJY/1si3+/LvSdb9IlUAAL9PPm/ZrW4NtSf9g38qeJ9gfMWRURERKRQqcBJsUtZu5a4ESOp2KgRdWbNxNXH5/yNEvbklrfMFLL6fc7j+z/i5yM/M+HaCXSt27X4Q5cjWTkOtsacYu3eBNbuT2RbzCkcFrw9XLm6gT8PXFuPDqH+1PP31rRIERERkWKmAifFKmXdOmKHP4xHaEOCZ8/CtVKl8zeK+wXm3wEubmTfv4Sn98xlbdxaxlw9hlsb3Fr8ocs4ay0HEs/kXd4/kQ1Rx0nJyMbFwJV1/Hj4+oZ0uCyAFnX8cHd1cXZcERERkXJNBU6KzZkNPxH70HA86tUjePZsXH19z9/owPfw8T3gVZWcfl/w/O73WBm9klGtR9H7st7FH7qMOnkmk3W/5U6JXLsvkbhTaQAEV/WiZ4vadAj15+r6/vh6XeBG6iIiIiLiNCpwUixSN24kZtgwPILrEDznPdyqVDl/o91fw+eDoGp9bL8vGL9zJkujljKy1Uj6NelX/KHLkIzsHH45dCr38v77E9kel4S1UKmiG+0b+DOsUwM6hPoTUu0C5yKKiIiISImhAidFLvWXLUQPfRD3WrUInjMHt6pVz99oy4ew+GGo3QrbdwETd87ki31fMKT5EMKbhRd/6FLOWsv+Yyl5Fx5JYEPUCdKycnBzMbQM9uPRGy+jw2X+NA/0xU3TIkVERERKDRU4KVJp27YRM3gw7gEBueXN3//8jdZPg+X/gvqdsH3mM2XnbD7c/SH3NbmPh1s8XOyZS6vElAzW7U/MO5ctgaPJGQDU9/emT1gQ14YG0K5+VSpV1LRIERERkdJKBU6KTNr2HUSHD8a1alWC583FvUb1czewFlZPgO8nQ+MecMcsZuycy+wds+lzWR+eCntKVzn8C+lZOWw6eJK1+xNYuzeRXfHJAPh5udO+oT8dGvpzbag/QVUucH89ERERESmVVOCkSKTv2kV0eDiulSoRMncO7jVrnruBwwHfPAUbZ0HL++DWKczbPZ+3tr5FjwY9eK7dcypvf2KtJfLIadbuS2DtvkR+PnCCjGwH7q6Gq0Kq8FS3RnQI9adpbV9cXfS7ExERESmLVOCk0KXv2Uv0oAdw8fIi+P15uAcGnrtBThZ89SDs+Bzaj4TOL/LpngW8uulVutXtxovXvIiLKT/nZS3cEsfk5Xs4fCqN2n6ePNWtEb1a5v7OjiWns3ZfIj/kTY1MTMmdFhla3Ye+bYPpGBpAm3pV8a6g/5RFREREygN965NClbF/P9EDB2I8PAiZOwePoKBzN8hMhc/6w74I6DwWrn2MRfsX8dJPL9EpqBMvd3gZN5fys1su3BLHs19uJy0rB4C4U2k8/fmvLNwSS3xSBnuOngagmrcH14b6c21DfzqEBlDTt6IzY4uIiIiIk5Sfb8pS5DKiDnBowEBwdSF43lw8QkLO3SDtFHx8N0RvgFvegLCBLDuwjDE/juHqWlfzaqdXcXcpXxfYmLx8z+/l7X8ycxys2ZvItQ39ua1VIB1C/WlcszIumhYpIiIiUu6pwEmhyDx0iOgBA8BaQubNo0K9eudukHIMPrgdEiLhzvfgitv5Nvpbnl37LC2rt2TKDVOo4FrBKdmd6X830P4zA8wPb1u8YURERESkxFOBk38sMyaGQ/0HYLOyCJ43lwoNGpy7wclD8EEvOH0E+n4CDTuzLm4dT373JI2rNWbajdPwdPN0TngnOZKUzviluy66vrZf+fp9iIiIiEjBqMDJP5IVF8eh/v2xaWkEz5tLxcsuO3eDY5G55S0rFe5fBHXasPHIRh5d/SgN/BrwTud38Hb3dk54J8jKcTBn3QHeWLmPHIflpitqsnrPMdKzHL9v4+nuylPdGjkxpYiIiIiUVCpw8rdlxcdzqP8AHClnCJ7zHhUvv/zcDWI3w4d3gKsHDPwGajRlW8I2Hl71MLV9ajO9y3R8K/g6J7wT/PhbIi8s2sm+Yyl0blydMbc0Jbia119ehVJERERE5GwqcPK3ZB09yqEBA8g5dYrgOe/h2bTpuRtErYGP+4JPANy3EKrWY/fx3QxbMYxqntWY1XUWVStWdUr24nY0OZ0JS3ezeNth6lT1ZNb9YXRuUuP39b1aBqqwiYiIiEiBqMDJJctOSCC6/wByEhKpM3sWns2anbvB7iXw+SCo1hDu+woq1WT/yf0MXTEUHw8fZnWdRYBXgHPCF6OsHAfzfjzIGyv3kZnjYMSNoTzUqQEV3V2dHU1ERERESikVOLkk2cePc2jAQLKOHSN45gy8WrY8d4NfPoAlIyDwKui7ALyqcij5EINXDMbNxY1ZXWdR26e2c8IXo5+ijjNm0U72HD1Np0YBjL21KXX9y8+5fiIiIiJSNFTgpMCyT54keuAgsuLiqDNjOl5XXXXuBj++CRHPQ4Mb4K754OHN4ZTDhEeE47AO5nSbQ3DlYOeELybHTqfz8n8j+WpLHIF+nsy47yq6NKmBMbqHm4iIiIj8cypwUiA5p04RPegBMg8dos677+Ddps0fK62Fb8fD2v9Ak15w+wxwq8DRM0d5YPkDnMk6w5xuc6jvV995H6CIZec4+GDDIV6L2EtGtoOHr2/I8Osb4umh6ZIiIiIiUnhU4CRfOcnJRD8QTub+/QS9/TbeV1/9x0pHDix9AjbPgVb94ZbXwcWV42nHGbxiMCczTjKzy0waVS27l8XfdPAEzy/cQeSR03QI9efFHk2pH+Dj7FgiIiIiUga5FGQjY0x3Y8weY8x+Y8wzF1j/uDFmlzHmV2PMKmNMyFnr+htj9uX99C/M8FL0clJSiA4fTPrevQS+ORWfDtf+sTI7E74Izy1v1z4Gt04BF1eSMpIYsmII8SnxTLtxGs0Cml38DUqxxJQMnliwjTvfXU9yWhbv9mvF+4PaqLyJiIiISJHJ9wicMcYVmAZ0AWKBjcaYxdbaXWdttgUIs9amGmOGAZOAu4wxVYEXgDDAApvzxp4s7A8ihS8n5Qwxg4eQvmsXQVPeoFKnTn+szDwDC+6H/SuhyzhoPxKAlMwUHlzxIAeSDvDWjW9xVY2rLvzipViOw/LhT4eYvHwP6Vk5DOvUgEduaIiXhw5oi4iIiEjRKsg3zjbAfmttFIAx5hOgJ/B7gbPWrj5r+w1Av7zH3YAV1toTeWNXAN2Bj/95dClKjtRUYh4cStqvvxL42mtUuvHGP1amnYSP7oLYjXDrVLgq98BqalYqw1cNJ/JEJK9f/zrX1L7GSemLzuZDJxmzaAc7DydzbUN/xvZoSsPqOuImIiIiIsWjIAUuEIg563ks0PYvtn8A+OYvxl7wjsXGmCHAEIDg4LJ9pcKSzpGWRsywh0j7ZQuBr06mcreuf6w8fRQ+uA0S98Kdc6BpLwAycjIYsXoEWxO2MqnjJDrV6eSc8EXkeEoGE5dFsmBTLDUrV2Ra31bc3Kymri4pIiIiIsWqUOd8GWP6kTtd8rpLHWutnQHMAAgLC7OFmUsKzpGRQezwh0n9+WdqT3yFyjff/MfKkwfh/V6QcgzuXZB7uwAgKyeLx9c8zk/xPzHh2gl0q9vNOeGLQI7D8vHP0UxevoczGdkM7VifETeG4l1B0yVFREREpPgV5FtoHFDnrOdBecvOYYzpDDwHXGetzThrbKc/jV3zd4JK0XNkZhL78COcWb+eWhMm4Nujxx8rj+7KPfKWnQ73L4I6rQHIdmQzau0ovo/9ntHtRtOjQY+LvHrpszXmFKMX7mB7XBJX16/GuJ5NCa1RydmxRERERKQcK0iB2wiEGmPqkVvI7gb6nr2BMaYlMB3obq09dtaq5cC/jTFV8p53BZ79x6ml0NnMTOJGjOTM2rXUHD8Ov9tv+2NlzEb48E5wqwgDv4EaTQBwWAej141mxaEVPN36afo06uOk9IXr5JlMJi2P5JONMQT4VGDqPS25tXktTZcUEREREafLt8BZa7ONMQ+TW8ZcgfestTuNMeOATdbaxcBkwAf4LO9LbrS1toe19oQxZjy5JRBg3P8uaCIlh83KIu6JJ0hZs4aaL4yhSu/ef6z87Vv4pB/4VIf7F0KVurljrGXc+nF8HfU1I1qO4L4m9zknfCFyOCyfboph4rJITqdn80D7eozsHEqliu7OjiYiIiIiAoCxtuSdbhYWFmY3bdrk7Bjlgs3OJu7Jpzi9bBk1nnuOqvf1+2PlzoW593kLaAT9voRKNXLHWMukjZOYv3s+g5sNZkSrEU5KX3h+jT3F6EU72RZzijb1qjK+5xU0qqnpkiIiIiLiHMaYzdbasD8v15UYyjGbk8PhUc9wetkyqo8adW552zwPvn4UglpD30/Bs8rvq97c8ibzd8+nX+N+PNLyESckLzynUjOZvHwPH/0cTTXvCrxxVwt6tqit6ZIiIiIiUiKpwJVTNieH+H/9i+SlSwl44nGqDRzwx8of3oCVL0DDztDnffDw/n3VjF9nMHP7THpf1punWz9daouOw2H5fHMsryyL5FRqJgOuqctjXS6jsqZLioiIiEgJpgJXDlmHg/jRY0hatJiAkSPwHzw4b4WFlWNh3RvQ9Ha4bTq4efw+7v2d7/Pmlje5tf6tPN/u+VJb3nbEJTF60Q62RJ8iLKQK43q2pUntys6OJSIiIiKSLxW4csY6HBwZ+yJJX36J/0MP4T9sWO4KRw4sfRw2z4WrBsL//QdcXH8ft2DPAiZvmkyXkC6Maz8OF+PinA/wDySlZfGfiD3M33CIqt4e/Kf3ldzeKrDUFlERERERKX9U4MoRay1HX5rAqQULqDZ4MP6PPJy7IjsTvhwMuxZChyfghtFwVqlZtH8R4zeM57qg65jYYSJuLqVrt3E4LF9uiePl/+7mZGom97UL4fGujfD11HRJERERESldStc3cfnbrLUce+UVTn70EVUHDiTg8cdyjzxlnoFP++XeLqDrS3DNuRclWXZwGWN+HEO7Wu34T6f/4O5aukrPrsPJjFm0g02HTtIq2I95g9pwRaCvs2OJiIiIiPwtKnDlgLWWY6++yol571Pl/vuo/vRTueUt9QR8dBfEbYIeb0Grc+/ltiZmDc9+/ywtAlow5fopVHCt4KRPcOmS07N4LWIv768/iJ+XB5PubM6drYJwcdF0SREREREpvVTgyjhrLQlvTOHE7Peo0vceajz7bG55O30EPrgNju+H3vOgSY9zxv14+EceX/M4l1e9nGk3TsPL3ctJn+DSWGtZuDWOCUsjOX4mg3vbBvNk10b4eXnkP1hEREREpIRTgSvjEt+axvHp0/Hr3Zsaz+ddOfJEFLzfC84kwr2fQf1O54zZdGQTI78dSX3f+rzb5V18PHyckv1SRR5JZszCnfx88ARX1vFjzoDWNAvSdEkRERERKTtU4MqwxHffJXHaNHxvv52aL47FuLjA0Z25R95yMqH/Egi66pwxvyb8yvBVw6nlU4vpXabjW6HkF6DT6Vm8sXIfc388SOWKbrxyezP6hNXRdEkRERERKXNU4Mqo47NmkfDGFHx79qDW+HG55S36J/ioN7h7wcBvoHrjc8ZEnojkwZUPUs2zGrO6zqKaZzUnpS8Yay2Ltx1mwtLdJKRkcHfrYJ7u1ogq3pouKSIiIiJlkwpcGXR87lyOvfofKt98M7X+/W+MqyvsXwmf3geVasJ9C6FKyDljfjv1G0MihuDt7s2srrOo7lXdSekLZt/R04xetIMNUSdoHuTLjPvDaFHHz9mxRERERESKlApcGXPig/kce2Uilbp1o/akibnlbedX8MVgCLgc7vsSfM4tZ9HJ0QyOGIyriyuzu86mtk9tJ6XPX0pGNlNX7eO9Hw7gXcGNCbddwd2tg3HVdEkRERERKQdU4MqQk598wtEJE/DpfCOBr07GuLnB5rmw5FGo0xb6fgqe5x6lOpxymPCIcLId2czpPofgysHOCZ8Pay1Lt8fz0te7OZKczl1hdRh10+VU1XRJERERESlHVODKiJOffcaRsS/i06kTQa+9hnF3hx9eh5VjoWEX6PM+eJx7K4BjqccIjwgnJSuF2V1n08CvgXPC52P/sRReWLyDdfuP07R2Zd7u14pWwVWcHUtEREREpNipwJUBp75ayJExL+DdoQOBU6fklreI0fDjVLjiTuj1Dride6TqeNpxwiPCOZ52nJldZ9K4WuOLvLrzpGZmM3XVfmb/EIWnuyvjezalb9sQTZcUERERkXJLBa6US1qyhPh//Qvvq9sR9OZUXNxcYfEjsOUDaB0ON00GF5dzx2QkMXTFUOJT4nm789s0D2jupPQXZq1l2Y4jjP96F4eT0rnzqiCeuely/H0qODuaiIiIiIhTqcCVYsnffMPhUc/g1bo1QdOm4eJm4LMBsHsxdHwKrn8OzLlHq1IyUxi2chhRSVG8dcNbtK7Z2jnhLyIqIYUXFu9k7b5EGteqzNR7WhJWt6qzY4mIiIiIlAgqcKVUckQEcU8+hWfLltR5521cXHLgo7shag10+zdcPfy8MalZqQxfNZzdx3fz+vWvc03gNcUf/CLSMnN4a/U+Zn5/gApuLoy9tQn92oXg5uqS/2ARERERkXJCBa4UOv3tt8Q9/gSezZpRZ/p0XEwGvN8bDv8CPd+GlveeNybshIeZAAAX50lEQVQjJ4ORq0eyNWErEztOpFOdTsUf/AKstUTsOsq4JbuIO5XG7S0Deebmy6leqaKzo4mIiIiIlDgqcKVMynffETvyUSo2aUKdmTNwdSTDvNvgxG/Q5wNofMt5Y7JysnhizRNsiN/AS+1fonvd7k5Ifr6DiWcYu2Qna/Yk0KhGJT4d0o629as5O5aIiIiISImlAleKpPywjthHRlAxNJTgWTNxzTwGH/SC1BNw7+dQ/7rzxmQ7snlm7TN8F/sdo9uNpmfDnk5Ifq70rBzeXr2fd7+LwsPNhdG3NOH+q0Nw13RJEREREZG/pAJXSpxZv57Y4cPxqF+f4Pdm45oaDR/cBo5s6L8YAq86b4zDOhizbgwRhyJ4MuxJ+jTq44Tk51q56yhjl+wk9mQaPVvU5rmbG1O9sqZLioiIiIgUhApcKXDm55+JGfYQHsHBBM95D9fkSPiwD3h4w4CvIaDReWOstby04SWWRC3h4RYP079pfyck/0P08VReXLKTVZHHCK3uw8eD23F1A02XFBERERG5FCpwJVzq5s3EPDgM98BAgufOwS1xM3zaDyrXhvsXgl/weWOstUzaOInP9n5GeLNwhjQf4oTkudKzcpj+XRRvr9mPm4vhuZsbM6B9XU2XFBERERH5G1TgSrC0rVuJGTwE9+rVCZ7zHm6HV8NXQ6F6Y+j3JfhUv+C4N7e8yfzd87m38b2MaDkC86d7wRWX1ZHHeGHxTqJPpHJL81o8/39NqOmr6ZIiIiIiIn+XClwJlbZ9O9Hhg3H19yd43lzcDy2BpU9A8NXQ9xOo6HvBcTN/ncnM7TO5I/QORrUe5ZTyFnMilXFf72LFrqM0CPDmw/C2tG/oX+w5RERERETKGhW4Eiht506iHwjH1c+PkLlzcN/zAXw7HkK7Qe+54OF1wXEf7PqAqVumckv9WxjdbnSxl7eM7Bxmfh/FW6v3YzA8c9PlDGpfDw83TZcUERERESkMKnAlTHpkJDGDHsDFx5vguXNw3z4N1r8FzXpDr3fA1f2C4xbsWcCkjZPoEtKF8e3H4+riWqy5v9ubwAuLdnDweCo3N6vJ8//XhNp+nsWaQURERESkrFOBK0HS9+4leuAgjKcnIe/NxmPzy7BlPrQZAt0ngsuFj2Qt+W0JL214iY5BHZnYYSJuLsX31xp3Ko3xS3axbOcR6vt78/6gNnS8LKDY3l9EREREpDxRgSshMqKicsubmxshs97FY8PzEPk1XDcKOj0LF5kOufzgcp5f9zxtarXhtU6v4X6RI3SFLTPbwawfonhz1X4slqe6NSK8Qz0quBXvkT8RERERkfJEBa4EyDx4kOj+A8AYgmdOw2Pdk3Dge+j+CrQbdtFx38V8xzPfP0OLgBZMvX4qFVwrFEveH/YlMmbxDqISztCtaQ1G39KEoCoXPi9PREREREQKjwqck2VGR3Oo/wBsTg4h06dQ4fsREL8Ner0LLe656Lj1h9fz2JrHaFS1EdNunIaXe9EXqPikNF76ejdLt8cTUs2LOQNbc32jC9/KQERERERECl+BCpwxpjswBXAFZllrX/nT+o7AG0Bz4G5r7ednrcsBtuc9jbbW9iiM4GVBZmwchwYMwKanEzxtMhW+ewhOHoS75sPlN1903Oajmxm5eiT1fOsxvct0fDx8ijZntoM56w4wZdU+chyWJ7pcxuCO9anorumSIiIiIiLFKd8CZ4xxBaYBXYBYYKMxZrG1dtdZm0UDA4AnL/ASadbaFoWQtUzJOnyY6P79caScIWTKeCqufQjSTkK/L6Beh4uO256wneGrhlPTuyYzuszAt8KF7wdXWH7cn8iYxTvZfyyFzo1r8MKtTahTVdMlRUREREScoSBH4NoA+621UQDGmE+AnsDvBc5aezBvnaMIMpY5WUePcmjAQHKSkwme/CwVf3gIrAMGLIHaLS86LvJEJENXDqVKhSrM7DKTap7ViizjkaR0Jvx3N0u2HaZOVU9m9w/jxsY1iuz9REREREQkfwUpcIFAzFnPY4G2l/AeFY0xm4Bs4BVr7cILbWSMGQIMAQgODr6Ely9dso4dI/r+/uQcP07wvx/Fc/0IqFAJ7lsIAZdddFzUqSiGRAzBy82LWd1mUcO7aMpUVo6DeT8e5PUVe8lyWB7tHMqD1zXQdEkRERERkRKgOC5iEmKtjTPG1Ae+NcZst9b+9ueNrLUzgBkAYWFhthhyFbvsxESiBwwkKyGB4DGD8dz4JPgG5pY3vzoXHRedHE14RDiuLq7M7jabQJ/AIsm3Ieo4YxbtYO/RFK5vFMDYHk0JqeZdJO8lIiIiIiKXriAFLg44u10E5S0rEGttXN6fUcaYNUBL4LwCV9ZlnzhB9MCBZMXHE/xMX7x+fQ5qNIV7vwCfi9/4Oj4lnvCIcLIcWczpNoeQyiGFnu1Ycjr//u9uFm49TKCfJzPvD6Nz4+qYi9x7TkREREREnKMgBW4jEGqMqUducbsb6FuQFzfGVAFSrbUZxhh/oD0w6e+GLa2yT54keuAgMqNjqPPYrXjtfglC2sM9H0PFyhcdl5CaQHhEOCmZKczuNpuGVRoWbq4cB++vP8TrK/aSke1gxA0NGdapIZ4emi4pIiIiIlIS5VvgrLXZxpiHgeXk3kbgPWvtTmPMOGCTtXaxMaY18BVQBbjVGPOitbYp0BiYnndxExdyz4HbdZG3KpNykpKIfuABMg8cIGjY9XgfnAqX3QS954C750XHnUg/weCIwSSmJTKj6wwaV2tcqLk2HjzB6IU7iDxymo6XBfBij6bU89d0SRERERGRksxYW/JONwsLC7ObNm1ydox/LOf0aaIHPUBGZCRBA8PwSf4Cmt8FPaeBq/tFxyVlJBEeEc6BpAO80/kdWtdsXWiZEk5n8PI3u/nylzgC/TwZfUsTujWtoemSIiIiIiIliDFms7U27M/Li+MiJuVSTkoKMeGDSd+9m6C+l+eWtzZDofsr4OJy0XEpmSkMWzmM3079xps3vFlo5S07x8GHP0XzasQe0rNyGH59A4Zf3xAvD+0CIiIiIiKlhb69FwHHmTPEDH2QtB07CLwjmEqZEdDpWbhuFPzFka607DSGrxrOruO7eK3Ta7QPbF8oeTYfOsHohTvZFZ9Mh1B/xvZoSoMAn0J5bRERERERKT4qcIXMkZZGzLCHSNu6lcBb/anssg5umgRth/7luIycDEZ+O5KtCVuZ2GEiNwTf8I+zJKZkMPGbSD7bHEst34q8fW8rbrqipqZLioiIiIiUUipwhciRnk7MQw+RumkTtbv7UNnzV+g1A6686y/HZTmyeHLNk6yPX8/49uPpXq/7P8qR47B89HM0k5dFkpqZw4PXNeCRGxriXUF/3SIiIiIipZm+0RcSR0YGsQ8/QuqGn6h1owe+VQ9C7w+h0U1/OS7HkcOza59lTewanmv7HL0a9vpHObZEn2T0oh3siEvmmgbVGNezKQ2rV/pHrykiIiIiIiWDClwhcGRmEjdiJGd++IFa1xn8aidC3y+g7rV/Pc46GPPjGJYfXM6TYU9y9+V3/+0MJ85kMmlZJJ9sjKFG5Qq8eU9LbmleS9MlRURERETKEBW4f8hmZRH32OOkfPcdNa/Jxq+BA/p9DbVb/PU4a5mwYQKLf1vM8BbD6d+0/996/xyH5dONMUxaHklKejZDOtZnxI2h+Gi6pIiIiIhImaNv+f+Azcoi7oknSVm1ihptM6hyhSfcvxD8Q/96nLW8uulVFuxdwKArBjG0+V9f4ORitsWcYsyiHWyLTaJtvaqM73UFl9XQdEkRERERkbJKBe5vstnZHB41itMREdS46gxVW9eA+74C36B8x07bOo33d71P38v78mirRy95muPJM5lMjtjDxz9H4+9TgSl3t6DHlbU1XVJEREREpIxTgfsbbE4Oh5/9F8n//YbqLU5TtWMD6PcFePvnO3bW9llM/3U6d4Tewag2oy6pdDkcls82x/DKN5Ekp2czqH09Hu0cSqWK7v/k44iIiIiISCmhAneJrMNB/POjSV6yhIBmyVTr3hLu/ggqVs537Pxd85nyyxRurnczo9uNxsW4FPh9d8Ql8fzCHWyNOUXrulUY1/MKGtfK/z1FRERERKTsUIErgKQlSzj2+htkx8djPD2xqan4X5GM/+0d4c454F4x39f4fO/nTNw4kc7BnZlw7QRcXVwL9t6pWbwasYf5Px2imrcHr/W5kttaBmq6pIiIiIhIOaQCl4+kJUuIf+45bGYWADY1FYzFvXEb6PMBuOb/K1zy2xLGrR9Hh8AOTOo4CTeX/Mc4HJYvfonllW8iOZmaSf+r6/JYl8vw9dR0SRERERGR8koFLh/HJk74vbz9zhoSVsfjNz7/X1/EwQieX/c8bWq24bVOr+Humn8B23k4iTGLdrL50EmuCqnC+z3b0LS279/9CCIiIiIiUkaowOUjOzHpkpaf7fvY7xn1/Sia+zdn6g1Tqej211Mtk9KyeH3FXt5ff5AqXh5MvrM5d7QKwsVF0yVFREREREQFLl9uXtlkp57/a3Lzyv7LcRviN/DY6se4rOplvN35bbzcvS66rbWWr7bE8e//RnL8TAb92obwZNdG+HppuqSIiIiIiPxBBS4f1du5E/9dDjbnjytGGlcH1dtdvFz9cvQXRnw7ghDfEKZ3nk4lj4vfXDvySDKjF+5g48GTtKjjx5wBrWkWpOmSIiIiIiJyPhW4fPg+OBYynuDYlopkp7ri5pVD9Zbp+D74nwtuvyNxBw+teogaXjWY0WUGfhX9Lrjd6fQsXl+xj3nrD1K5ohuv3N6MPmF1NF1SREREREQuSgUuP8374DsSfFeNg6RY8A2CGydA8z7nbbrnxB6GrhiKXwU/Znadib/n+Tf2ttayeNthXlq6m8SUDO5pE8xTXRtRxdujOD6NiIiIiIiUYipwBdG8zwUL29mikqIYsmIInm6ezOo6i5reNc/bZu/R04xeuIOfDpygeZAvs+4P48o6Fz5CJyIiIiIi8mcqcIUgJjmGwcsHYzDM6jqLoEpB56xPychmysq9zFl3EO8Kbky47Qrubh2Mq6ZLioiIiIjIJVCB+4fiU+IJjwgn05HJe93eo65v3d/XWWv5+td4Xlq6i6PJGdzdug5Pd7+cqpouKSIiIiIif4MK3D+QkJpAeEQ4pzNPM6vbLEKrhP6+bv+x04xZtJMffzvOFYGVeaffVbQKruLEtCIiIiIiUtqpwP1NJ9JPMDhiMAlpCczoMoMm1ZoAcCYjm6nf7mP22gN4ebgyvmdT+rYN0XRJERERERH5x1Tg/obkzGQeXPEgsSmxvH3j27So3gJrLd/sOML4r3cRn5RO76uCGHXT5fj7VHB2XBERERERKSNU4C7RmawzDFs5jH2n9vHmDW/SplYbfktIYezinazdl0jjWpV5q29Lrgqp6uyoIiIiIiJSxqjAFcDSqKVM+WUKR84cwd3FnSxHFq9f/zqtAtoxaVkkM9dGUdHNlbG3NqFfuxDcXF2cHVlERERERMogFbh8LI1aytgfx5Kekw5ApiMTdxd3fjpwhDEffU/cqTRubxXIszc1JqCSpkuKiIiIiEjRUYHLx5Rfpvxe3v4ny5HFh3vfpU7FCSwYejVt6mm6pIiIiIiIFD0VuHzEnzlyweUuHqf4etC1mi4pIiIiIiLFRu0jHybb7yLLq6i8iYiIiIhIsVIDyUfa0a5Yh/s5y6zDnbSjXZ2USEREREREyqsCFThjTHdjzB5jzH5jzDMXWN/RGPOLMSbbGHPnn9b1N8bsy/vpX1jBi0t1l2tIj78dR6Yf1oIj04/0+Nup7nKNs6OJiIiIiEg5k+85cMYYV2Aa0AWIBTYaYxZba3edtVk0MAB48k9jqwIvAGGABTbnjT1ZOPGL3lPdGvHsl5mc+a3l78s83V156vZGTkwlIiIiIiLlUUGOwLUB9ltro6y1mcAnQM+zN7DWHrTW/go4/jS2G7DCWnsir7StALoXQu5i06tlIC/f3oxAP08MEOjnycu3N6NXy0BnRxMRERERkXKmIFehDARiznoeC7Qt4OtfaOwFm48xZggwBCA4OLiAL188erUMVGETERERERGnKzEXMbHWzrDWhllrwwICApwdR0REREREpMQpSIGLA+qc9Twob1lB/JOxIiIiIiIicpaCFLiNQKgxpp4xxgO4G1hcwNdfDnQ1xlQxxlQBuuYtExERERERkUuUb4Gz1mYDD5NbvHYDC6y1O40x44wxPQCMMa2NMbFAb2C6MWZn3tgTwHhyS+BGYFzeMhEREREREblExlrr7AznCQsLs5s2bXJ2DBEREREREacwxmy21ob9eXmJuYiJiIiIiIiI/LUSeQTOGJMAHHJ2jgvwBxKdHULKLO1fUpS0f0lR0v4lRUn7lxS1krqPhVhrz7s8f4kscCWVMWbThQ5jihQG7V9SlLR/SVHS/iVFSfuXFLXSto9pCqWIiIiIiEgpoQInIiIiIiJSSqjAXZoZzg4gZZr2LylK2r+kKGn/kqKk/UuKWqnax3QOnIiIiIiISCmhI3AiIiIiIiKlhAqciIiIiIhIKaECVwDGmO7GmD3GmP3GmGecnUfKFmPMe8aYY8aYHc7OImWPMaaOMWa1MWaXMWanMWakszNJ2WGMqWiM+dkYsy1v/3rR2Zmk7DHGuBpjthhjvnZ2FilbjDEHjTHbjTFbjTGbnJ2noHQOXD6MMa7AXqALEAtsBO6x1u5yajApM4wxHYEU4H1r7RXOziNlizGmFlDLWvuLMaYSsBnopf+HSWEwxhjA21qbYoxxB34ARlprNzg5mpQhxpjHgTCgsrX2FmfnkbLDGHMQCLPWlsSbeF+UjsDlrw2w31obZa3NBD4Bejo5k5Qh1trvgRPOziFlk7U23lr7S97j08BuINC5qaSssLlS8p665/3oX4al0BhjgoD/A2Y5O4tISaECl79AIOas57Hoy4+IlELGmLpAS+An5yaRsiRvettW4Biwwlqr/UsK0xvA04DD2UGkTLJAhDFmszFmiLPDFJQKnIhIOWCM8QG+AB611iY7O4+UHdbaHGttCyAIaGOM0VRwKRTGmFuAY9bazc7OImXWtdbaVsBNwPC801pKPBW4/MUBdc56HpS3TESkVMg7N+kL4ENr7ZfOziNlk7X2FLAa6O7sLFJmtAd65J2n9AlwgzFmvnMjSVlirY3L+/MY8BW5p06VeCpw+dsIhBpj6hljPIC7gcVOziQiUiB5F5mYDey21r7m7DxSthhjAowxfnmPPcm94Fekc1NJWWGtfdZaG2StrUvu969vrbX9nBxLyghjjHfexb0wxngDXYFScUVwFbh8WGuzgYeB5eSe/L/AWrvTuamkLDHGfAysBxoZY2KNMQ84O5OUKe2B+8j9l+uteT83OzuUlBm1gNXGmF/J/QfPFdZaXepdREqDGsAPxphtwM/AUmvtMidnKhDdRkBERERERKSU0BE4ERERERGRUkIFTkREREREpJRQgRMRERERESklVOBERERERERKCRU4ERERERGRUkIFTkREyixjTM5Zt0/Yaox5phBfu64xplTcM0hERMoON2cHEBERKUJp1toWzg4hIiJSWHQETkREyh1jzEFjzCRjzHZjzM/GmIZ5y+saY741xvxqjFlljAnOW17DGPOVMWZb3s81eS/laoyZaYzZaYyJMMZ4Ou1DiYhIuaACJyIiZZnnn6ZQ3nXWuiRrbTPgLeCNvGVvAvOstc2BD4GpecunAt9Za68EWgE785aHAtOstU2BU8AdRfx5RESknDPWWmdnEBERKRLGmBRrrc8Flh8EbrDWRhlj3IEj1tpqxphEoJa1Nitveby11t8YkwAEWWszznqNusAKa21o3vNRgLu19qWi/2QiIlJe6QiciIiUV/Yijy9FxlmPc9C55SIiUsRU4EREpLy666w/1+c9/hG4O+/xvcDavMergGEAxhhXY4xvcYUUERE5m/6lUEREyjJPY8zWs54vs9b+71YCVYwxv5J7FO2evGWPAHOMMU8BCcDAvOUjgRnGmAfIPdI2DIgv8vQiIiJ/onPgRESk3Mk7By7MWpvo7CwiIiKXQlMoRURERERESgkdgRMRERERESkldARORERERESklFCBExERERERKSVU4EREREREREoJFTgREREREZFSQgVORERERESklPh/Q77C+vMz22wAAAAASUVORK5CYII=\\n\",\"text/plain\":[\"<Figure size 1080x1080 with 3 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}}]},{\"cell_type\":\"markdown\",\"metadata\":{\"tags\":[\"pdf-inline\"],\"id\":\"3bYf8tz86e5B\"},\"source\":[\"## Inline Question 3:\\n\",\"\\n\",\"AdaGrad, like Adam, is a per-parameter optimization method that uses the following update rule:\\n\",\"\\n\",\"```\\n\",\"cache += dw**2\\n\",\"w += - learning_rate * dw / (np.sqrt(cache) + eps)\\n\",\"```\\n\",\"\\n\",\"John notices that when he was training a network with AdaGrad that the updates became very small, and that his network was learning slowly. Using your knowledge of the AdaGrad update rule, why do you think the updates would become very small? Would Adam have the same issue?\\n\",\"\\n\",\"\\n\",\"## Answer: \\n\",\"- Using AdaGrad, the fact that updates becomes very small is due to its monotonicity. The latter is caused by the infinite update of the `cache` variable (although it's square-rooted when updating `w`, it will not change the fact that it's still incremented infinitely).\\n\",\"- No, Adam would not have the same issue. In fact, Adam is a smoothed version of **RMSprop**, in which the `cache` variable is *leaky*.\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"19iegKRb6e5C\"},\"source\":[\"# Train a good model!\\n\",\"Train the best fully-connected model that you can on CIFAR-10, storing your best model in the `best_model` variable. We require you to get at least 50% accuracy on the validation set using a fully-connected net.\\n\",\"\\n\",\"If you are careful it should be possible to get accuracies above 55%, but we don't require it for this part and won't assign extra credit for doing so. Later in the assignment we will ask you to train the best convolutional network that you can on CIFAR-10, and we would prefer that you spend your effort working on convolutional nets rather than fully-connected nets.\\n\",\"\\n\",\"You might find it useful to complete the `BatchNormalization.ipynb` and `Dropout.ipynb` notebooks before completing this part, since those techniques can help you train powerful models.\"]},{\"cell_type\":\"code\",\"metadata\":{\"scrolled\":false,\"id\":\"BlxVLk8i6e5C\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1616354514212,\"user_tz\":-60,\"elapsed\":2142989,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"54d4fd39-07ef-4506-9ab7-8d4e8a06074e\"},\"source\":[\"best_model = None\\n\",\"################################################################################\\n\",\"# TODO: Train the best FullyConnectedNet that you can on CIFAR-10. You might   #\\n\",\"# find batch/layer normalization and dropout useful. Store your best model in  #\\n\",\"# the best_model variable.                                                     #\\n\",\"################################################################################\\n\",\"# *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\\n\",\"\\n\",\"# To find the optimal parameter combination, we'll use a random search strategy.\\n\",\"# For that, define a random search function, which yields tuples of\\n\",\"# (hidden_size, hidden_dimension, dropout_p, weight_scale, lr)\\n\",\"# Note that the hard-coded low/high values for each parameter are changed (i.e. refined)\\n\",\"# during tests.\\n\",\"def random_search(sample_size):\\n\",\"  for _ in range(sample_size):\\n\",\"    hsize = np.random.randint(low=1, high=3)\\n\",\"    hdim = np.random.randint(low=300, high=500)\\n\",\"    dp = np.around(np.random.uniform(low=8, high=10) / 10, decimals=2)\\n\",\"    wscale = 10 ** np.random.uniform(low=-4, high=-3)\\n\",\"    lr = 10 ** np.random.uniform(low=-4, high=-3)\\n\",\"\\n\",\"    yield hsize, hdim, dp, wscale, lr\\n\",\"\\n\",\"# Initialize the best validation accuracy.\\n\",\"best_val_acc = 0.0\\n\",\"\\n\",\"# Batch size (bsize) is kept unchanged during the random search.\\n\",\"bsize = 100\\n\",\"\\n\",\"# Test 10 parameter combinations.\\n\",\"for i, params in enumerate(random_search(10)):\\n\",\"  hsize, hdim, dp, wscale, lr = params\\n\",\"\\n\",\"  # Define 'hdim' hidden layers with size 'hsize'\\n\",\"  hidden_layers = [hdim] * hsize\\n\",\"  model = FullyConnectedNet(hidden_layers, weight_scale=wscale,\\n\",\"                            normalization=\\\"batchnorm\\\", dropout=dp)\\n\",\"\\n\",\"  solver = Solver(model, data,\\n\",\"                  num_epochs=5, batch_size=bsize,\\n\",\"                  update_rule='adam',\\n\",\"                  optim_config={'learning_rate': lr},\\n\",\"                  verbose=False)\\n\",\"\\n\",\"  solver.train()\\n\",\"\\n\",\"  y_val_pred = np.argmax(model.loss(data['X_val']), axis=1)\\n\",\"  val_acc = (y_val_pred == data['y_val']).mean()\\n\",\"\\n\",\"  print('%2d) hsize=%1d | hdim=%3d | dp=%.2f | wscale=%.2e | lr=%.3e | val_acc=%.4f' % \\n\",\"        (i+1, hsize, hdim, dp, wscale, lr, val_acc))\\n\",\"\\n\",\"  if val_acc > best_val_acc:\\n\",\"    best_val_acc = val_acc\\n\",\"    best_model = model\\n\",\"\\n\",\"print('\\\\nBest validation accuracy: %.4f' % best_val_acc)\\n\",\"\\n\",\"# *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\\n\",\"################################################################################\\n\",\"#                              END OF YOUR CODE                                #\\n\",\"################################################################################\"],\"execution_count\":9,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\" 1) hsize=2 | hdim=393 | dp=0.95 | wscale=4.28e-04 | lr=1.299e-04 | val_acc=0.5510\\n\",\" 2) hsize=2 | hdim=389 | dp=0.94 | wscale=1.01e-04 | lr=4.392e-04 | val_acc=0.5530\\n\",\" 3) hsize=2 | hdim=473 | dp=0.83 | wscale=6.54e-04 | lr=1.789e-04 | val_acc=0.5590\\n\",\" 4) hsize=1 | hdim=451 | dp=0.94 | wscale=2.58e-04 | lr=1.073e-04 | val_acc=0.5140\\n\",\" 5) hsize=1 | hdim=480 | dp=0.91 | wscale=1.06e-04 | lr=7.362e-04 | val_acc=0.5240\\n\",\" 6) hsize=2 | hdim=445 | dp=0.91 | wscale=2.04e-04 | lr=1.056e-04 | val_acc=0.5470\\n\",\" 7) hsize=2 | hdim=499 | dp=0.86 | wscale=5.23e-04 | lr=3.167e-04 | val_acc=0.5610\\n\",\" 8) hsize=1 | hdim=319 | dp=0.87 | wscale=7.32e-04 | lr=3.964e-04 | val_acc=0.5250\\n\",\" 9) hsize=2 | hdim=323 | dp=0.91 | wscale=9.30e-04 | lr=4.006e-04 | val_acc=0.5630\\n\",\"10) hsize=1 | hdim=458 | dp=0.85 | wscale=1.48e-04 | lr=8.384e-04 | val_acc=0.5510\\n\",\"\\n\",\"Best validation accuracy: 0.5630\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"Fcd_y9uN6e5D\"},\"source\":[\"# Test your model!\\n\",\"Run your best model on the validation and test sets. You should achieve above 50% accuracy on the validation set.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"vmd3V6gg6e5D\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1616354515881,\"user_tz\":-60,\"elapsed\":1654,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"eca76537-21db-4e39-ee8c-c8ae634dd8ad\"},\"source\":[\"y_test_pred = np.argmax(best_model.loss(data['X_test']), axis=1)\\n\",\"y_val_pred = np.argmax(best_model.loss(data['X_val']), axis=1)\\n\",\"print('Validation set accuracy: ', (y_val_pred == data['y_val']).mean())\\n\",\"print('Test set accuracy: ', (y_test_pred == data['y_test']).mean())\"],\"execution_count\":10,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Validation set accuracy:  0.563\\n\",\"Test set accuracy:  0.535\\n\"],\"name\":\"stdout\"}]}]}"
  },
  {
    "path": "cs231n/assignment2/PyTorch.ipynb",
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Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"4cf16d17-d237-4cd6-c840-ce5293278c68\"},\"source\":[\"# this mounts your Google Drive to the Colab VM.\\n\",\"from google.colab import drive\\n\",\"drive.mount('/content/drive', force_remount=True)\\n\",\"\\n\",\"# enter the foldername in your Drive where you have saved the unzipped\\n\",\"# assignment folder, e.g. 'cs231n/assignments/assignment3/'\\n\",\"FOLDERNAME = 'cs231n/assignments/assignment2/'\\n\",\"assert FOLDERNAME is not None, \\\"[!] Enter the foldername.\\\"\\n\",\"\\n\",\"# now that we've mounted your Drive, this ensures that\\n\",\"# the Python interpreter of the Colab VM can load\\n\",\"# python files from within it.\\n\",\"import sys\\n\",\"sys.path.append('/content/drive/My Drive/{}'.format(FOLDERNAME))\\n\",\"\\n\",\"# this downloads the CIFAR-10 dataset to your Drive\\n\",\"# if it doesn't already exist.\\n\",\"%cd drive/My\\\\ Drive/$FOLDERNAME/cs231n/datasets/\\n\",\"!bash get_datasets.sh\\n\",\"%cd /content\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Mounted at /content/drive\\n\",\"/content/drive/My Drive/cs231n/assignments/assignment2/cs231n/datasets\\n\",\"/content\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"tags\":[\"pdf-title\"],\"id\":\"Qgu-XXbPrsf6\"},\"source\":[\"# What's this PyTorch business?\\n\",\"\\n\",\"You've written a lot of code in this assignment to provide a whole host of neural network functionality. Dropout, Batch Norm, and 2D convolutions are some of the workhorses of deep learning in computer vision. You've also worked hard to make your code efficient and vectorized.\\n\",\"\\n\",\"For the last part of this assignment, though, we're going to leave behind your beautiful codebase and instead migrate to one of two popular deep learning frameworks: in this instance, PyTorch (or TensorFlow, if you choose to use that notebook).\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"tags\":[\"pdf-ignore\"],\"id\":\"-ZVeIFGwrsf7\"},\"source\":[\"### What is PyTorch?\\n\",\"\\n\",\"PyTorch is a system for executing dynamic computational graphs over Tensor objects that behave similarly as numpy ndarray. It comes with a powerful automatic differentiation engine that removes the need for manual back-propagation. \\n\",\"\\n\",\"### Why?\\n\",\"\\n\",\"* Our code will now run on GPUs! Much faster training. When using a framework like PyTorch or TensorFlow you can harness the power of the GPU for your own custom neural network architectures without having to write CUDA code directly (which is beyond the scope of this class).\\n\",\"* We want you to be ready to use one of these frameworks for your project so you can experiment more efficiently than if you were writing every feature you want to use by hand. \\n\",\"* We want you to stand on the shoulders of giants! TensorFlow and PyTorch are both excellent frameworks that will make your lives a lot easier, and now that you understand their guts, you are free to use them :) \\n\",\"* We want you to be exposed to the sort of deep learning code you might run into in academia or industry.\\n\",\"\\n\",\"### PyTorch versions\\n\",\"This notebook assumes that you are using **PyTorch version 1.4**. In some of the previous versions (e.g. before 0.4), Tensors had to be wrapped in Variable objects to be used in autograd; however Variables have now been deprecated. In addition 1.0+ versions separate a Tensor's datatype from its device, and use numpy-style factories for constructing Tensors rather than directly invoking Tensor constructors.\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"tags\":[\"pdf-ignore\"],\"id\":\"QO1srl7hrsf8\"},\"source\":[\"## How will I learn PyTorch?\\n\",\"\\n\",\"Justin Johnson has made an excellent [tutorial](https://github.com/jcjohnson/pytorch-examples) for PyTorch. \\n\",\"\\n\",\"You can also find the detailed [API doc](http://pytorch.org/docs/stable/index.html) here. If you have other questions that are not addressed by the API docs, the [PyTorch forum](https://discuss.pytorch.org/) is a much better place to ask than StackOverflow.\\n\",\"\\n\",\"## Install PyTorch 1.4 (ONLY IF YOU ARE WORKING LOCALLY)\\n\",\"\\n\",\"1. Have the latest version of Anaconda installed on your machine.\\n\",\"2. Create a new conda environment starting from Python 3.7. In this setup example, we'll call it `torch_env`.\\n\",\"3. Run the command: `conda activate torch_env`\\n\",\"4. Run the command: `pip install torch==1.4 torchvision==0.5.0`\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"k8DCxyFIrsf8\"},\"source\":[\"# Table of Contents\\n\",\"\\n\",\"This assignment has 5 parts. You will learn PyTorch on **three different levels of abstraction**, which will help you understand it better and prepare you for the final project. \\n\",\"\\n\",\"1. Part I, Preparation: we will use CIFAR-10 dataset.\\n\",\"2. Part II, Barebones PyTorch: **Abstraction level 1**, we will work directly with the lowest-level PyTorch Tensors. \\n\",\"3. Part III, PyTorch Module API: **Abstraction level 2**, we will use `nn.Module` to define arbitrary neural network architecture. \\n\",\"4. Part IV, PyTorch Sequential API: **Abstraction level 3**, we will use `nn.Sequential` to define a linear feed-forward network very conveniently. \\n\",\"5. Part V, CIFAR-10 open-ended challenge: please implement your own network to get as high accuracy as possible on CIFAR-10. You can experiment with any layer, optimizer, hyperparameters or other advanced features. \\n\",\"\\n\",\"Here is a table of comparison:\\n\",\"\\n\",\"| API           | Flexibility | Convenience |\\n\",\"|---------------|-------------|-------------|\\n\",\"| Barebone      | High        | Low         |\\n\",\"| `nn.Module`     | High        | Medium      |\\n\",\"| `nn.Sequential` | Low         | High        |\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"PFMP9BSrrsf8\"},\"source\":[\"# Part I. Preparation\\n\",\"\\n\",\"First, we load the CIFAR-10 dataset. This might take a couple minutes the first time you do it, but the files should stay cached after that.\\n\",\"\\n\",\"In previous parts of the assignment we had to write our own code to download the CIFAR-10 dataset, preprocess it, and iterate through it in minibatches; PyTorch provides convenient tools to automate this process for us.\"]},{\"cell_type\":\"code\",\"metadata\":{\"tags\":[\"pdf-ignore\"],\"id\":\"B_ajIVbCrsf9\"},\"source\":[\"import torch\\n\",\"# assert '.'.join(torch.__version__.split('.')[:2]) == '1.4'\\n\",\"import torch.nn as nn\\n\",\"import torch.optim as optim\\n\",\"from torch.utils.data import DataLoader\\n\",\"from torch.utils.data import sampler\\n\",\"\\n\",\"import torchvision.datasets as dset\\n\",\"import torchvision.transforms as T\\n\",\"\\n\",\"import numpy as np\"],\"execution_count\":null,\"outputs\":[]},{\"cell_type\":\"code\",\"metadata\":{\"tags\":[\"pdf-ignore\"],\"colab\":{\"base_uri\":\"https://localhost:8080/\",\"height\":117,\"referenced_widgets\":[\"4eb1a044ba64422e87a1275a15117726\",\"456b60a2feb74792899128fc5cdfc967\",\"e855d99feea042cfaf3d4d53791252b3\",\"1581c8de653844c9a8994a9e7a9f00ad\",\"232214e6b0f54cd2af3cd875224b8bb4\",\"312385a363f248d8870a5dc94117939e\",\"ff7ea7afbcd44026859f3356f3ebc28f\",\"689de54ba7c44f2287bb6947b069bba0\"]},\"id\":\"Woo1In9Hrsf9\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1613045116415,\"user_tz\":-60,\"elapsed\":6601,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"daf50277-1945-40ae-aa9e-b34d512abdb9\"},\"source\":[\"NUM_TRAIN = 49000\\n\",\"\\n\",\"# The torchvision.transforms package provides tools for preprocessing data\\n\",\"# and for performing data augmentation; here we set up a transform to\\n\",\"# preprocess the data by subtracting the mean RGB value and dividing by the\\n\",\"# standard deviation of each RGB value; we've hardcoded the mean and std.\\n\",\"transform = T.Compose([\\n\",\"                T.ToTensor(),\\n\",\"                T.Normalize((0.4914, 0.4822, 0.4465), (0.2023, 0.1994, 0.2010))\\n\",\"            ])\\n\",\"\\n\",\"# We set up a Dataset object for each split (train / val / test); Datasets load\\n\",\"# training examples one at a time, so we wrap each Dataset in a DataLoader which\\n\",\"# iterates through the Dataset and forms minibatches. We divide the CIFAR-10\\n\",\"# training set into train and val sets by passing a Sampler object to the\\n\",\"# DataLoader telling how it should sample from the underlying Dataset.\\n\",\"cifar10_train = dset.CIFAR10('./cs231n/datasets', train=True, download=True,\\n\",\"                             transform=transform)\\n\",\"loader_train = DataLoader(cifar10_train, batch_size=64, \\n\",\"                          sampler=sampler.SubsetRandomSampler(range(NUM_TRAIN)))\\n\",\"\\n\",\"cifar10_val = dset.CIFAR10('./cs231n/datasets', train=True, download=True,\\n\",\"                           transform=transform)\\n\",\"loader_val = DataLoader(cifar10_val, batch_size=64, \\n\",\"                        sampler=sampler.SubsetRandomSampler(range(NUM_TRAIN, 50000)))\\n\",\"\\n\",\"cifar10_test = dset.CIFAR10('./cs231n/datasets', train=False, download=True, \\n\",\"                            transform=transform)\\n\",\"loader_test = DataLoader(cifar10_test, batch_size=64)\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Downloading https://www.cs.toronto.edu/~kriz/cifar-10-python.tar.gz to ./cs231n/datasets/cifar-10-python.tar.gz\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"application/vnd.jupyter.widget-view+json\":{\"model_id\":\"4eb1a044ba64422e87a1275a15117726\",\"version_minor\":0,\"version_major\":2},\"text/plain\":[\"HBox(children=(FloatProgress(value=1.0, bar_style='info', max=1.0), HTML(value='')))\"]},\"metadata\":{\"tags\":[]}},{\"output_type\":\"stream\",\"text\":[\"Extracting ./cs231n/datasets/cifar-10-python.tar.gz to ./cs231n/datasets\\n\",\"Files already downloaded and verified\\n\",\"Files already downloaded and verified\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"tags\":[\"pdf-ignore\"],\"id\":\"v6IDlCaPrsf-\"},\"source\":[\"You have an option to **use GPU by setting the flag to True below**. It is not necessary to use GPU for this assignment. Note that if your computer does not have CUDA enabled, `torch.cuda.is_available()` will return False and this notebook will fallback to CPU mode.\\n\",\"\\n\",\"The global variables `dtype` and `device` will control the data types throughout this assignment.\\n\",\"\\n\",\"## Colab Users\\n\",\"\\n\",\"If you are using Colab, you need to manually switch to a GPU device. You can do this by clicking `Runtime -> Change runtime type` and selecting `GPU` under `Hardware Accelerator`. Note that you have to rerun the cells from the top since the kernel gets restarted upon switching runtimes.\"]},{\"cell_type\":\"code\",\"metadata\":{\"tags\":[\"pdf-ignore-input\"],\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"id\":\"x-jPlr7prsf-\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1613045123930,\"user_tz\":-60,\"elapsed\":652,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"68b654f1-2002-4964-9e3d-152e0c15becc\"},\"source\":[\"USE_GPU = True\\n\",\"\\n\",\"dtype = torch.float32 # we will be using float throughout this tutorial\\n\",\"\\n\",\"if USE_GPU and torch.cuda.is_available():\\n\",\"    device = torch.device('cuda')\\n\",\"else:\\n\",\"    device = torch.device('cpu')\\n\",\"\\n\",\"# Constant to control how frequently we print train loss\\n\",\"print_every = 100\\n\",\"\\n\",\"print('using device:', device)\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"using device: cuda\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"UYbaX56Ersf_\"},\"source\":[\"# Part II. Barebones PyTorch\\n\",\"\\n\",\"PyTorch ships with high-level APIs to help us define model architectures conveniently, which we will cover in Part II of this tutorial. In this section, we will start with the barebone PyTorch elements to understand the autograd engine better. After this exercise, you will come to appreciate the high-level model API more.\\n\",\"\\n\",\"We will start with a simple fully-connected ReLU network with two hidden layers and no biases for CIFAR classification. \\n\",\"This implementation computes the forward pass using operations on PyTorch Tensors, and uses PyTorch autograd to compute gradients. It is important that you understand every line, because you will write a harder version after the example.\\n\",\"\\n\",\"When we create a PyTorch Tensor with `requires_grad=True`, then operations involving that Tensor will not just compute values; they will also build up a computational graph in the background, allowing us to easily backpropagate through the graph to compute gradients of some Tensors with respect to a downstream loss. Concretely if x is a Tensor with `x.requires_grad == True` then after backpropagation `x.grad` will be another Tensor holding the gradient of x with respect to the scalar loss at the end.\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"tags\":[\"pdf-ignore\"],\"id\":\"8U7Xwms1rsf_\"},\"source\":[\"### PyTorch Tensors: Flatten Function\\n\",\"A PyTorch Tensor is conceptionally similar to a numpy array: it is an n-dimensional grid of numbers, and like numpy PyTorch provides many functions to efficiently operate on Tensors. As a simple example, we provide a `flatten` function below which reshapes image data for use in a fully-connected neural network.\\n\",\"\\n\",\"Recall that image data is typically stored in a Tensor of shape N x C x H x W, where:\\n\",\"\\n\",\"* N is the number of datapoints\\n\",\"* C is the number of channels\\n\",\"* H is the height of the intermediate feature map in pixels\\n\",\"* W is the height of the intermediate feature map in pixels\\n\",\"\\n\",\"This is the right way to represent the data when we are doing something like a 2D convolution, that needs spatial understanding of where the intermediate features are relative to each other. When we use fully connected affine layers to process the image, however, we want each datapoint to be represented by a single vector -- it's no longer useful to segregate the different channels, rows, and columns of the data. So, we use a \\\"flatten\\\" operation to collapse the `C x H x W` values per representation into a single long vector. The flatten function below first reads in the N, C, H, and W values from a given batch of data, and then returns a \\\"view\\\" of that data. \\\"View\\\" is analogous to numpy's \\\"reshape\\\" method: it reshapes x's dimensions to be N x ??, where ?? is allowed to be anything (in this case, it will be C x H x W, but we don't need to specify that explicitly). \"]},{\"cell_type\":\"code\",\"metadata\":{\"tags\":[\"pdf-ignore-input\"],\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"id\":\"juasjU6xrsgA\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1613045128551,\"user_tz\":-60,\"elapsed\":595,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"5229cb80-7a88-490c-99f1-54f6a655d407\"},\"source\":[\"def flatten(x):\\n\",\"    N = x.shape[0] # read in N, C, H, W\\n\",\"    return x.view(N, -1)  # \\\"flatten\\\" the C * H * W values into a single vector per image\\n\",\"\\n\",\"def test_flatten():\\n\",\"    x = torch.arange(12).view(2, 1, 3, 2)\\n\",\"    print('Before flattening: ', x)\\n\",\"    print('After flattening: ', flatten(x))\\n\",\"\\n\",\"test_flatten()\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Before flattening:  tensor([[[[ 0,  1],\\n\",\"          [ 2,  3],\\n\",\"          [ 4,  5]]],\\n\",\"\\n\",\"\\n\",\"        [[[ 6,  7],\\n\",\"          [ 8,  9],\\n\",\"          [10, 11]]]])\\n\",\"After flattening:  tensor([[ 0,  1,  2,  3,  4,  5],\\n\",\"        [ 6,  7,  8,  9, 10, 11]])\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"tags\":[\"pdf-ignore\"],\"id\":\"RVG8mWYtrsgB\"},\"source\":[\"### Barebones PyTorch: Two-Layer Network\\n\",\"\\n\",\"Here we define a function `two_layer_fc` which performs the forward pass of a two-layer fully-connected ReLU network on a batch of image data. After defining the forward pass we check that it doesn't crash and that it produces outputs of the right shape by running zeros through the network.\\n\",\"\\n\",\"You don't have to write any code here, but it's important that you read and understand the implementation.\"]},{\"cell_type\":\"code\",\"metadata\":{\"tags\":[\"pdf-ignore-input\"],\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"id\":\"qeR4HPGsrsgB\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1613045133585,\"user_tz\":-60,\"elapsed\":614,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"8f48b86f-8c0a-4234-86e9-8a9270c29228\"},\"source\":[\"import torch.nn.functional as F  # useful stateless functions\\n\",\"\\n\",\"def two_layer_fc(x, params):\\n\",\"    \\\"\\\"\\\"\\n\",\"    A fully-connected neural networks; the architecture is:\\n\",\"    NN is fully connected -> ReLU -> fully connected layer.\\n\",\"    Note that this function only defines the forward pass; \\n\",\"    PyTorch will take care of the backward pass for us.\\n\",\"    \\n\",\"    The input to the network will be a minibatch of data, of shape\\n\",\"    (N, d1, ..., dM) where d1 * ... * dM = D. The hidden layer will have H units,\\n\",\"    and the output layer will produce scores for C classes.\\n\",\"    \\n\",\"    Inputs:\\n\",\"    - x: A PyTorch Tensor of shape (N, d1, ..., dM) giving a minibatch of\\n\",\"      input data.\\n\",\"    - params: A list [w1, w2] of PyTorch Tensors giving weights for the network;\\n\",\"      w1 has shape (D, H) and w2 has shape (H, C).\\n\",\"    \\n\",\"    Returns:\\n\",\"    - scores: A PyTorch Tensor of shape (N, C) giving classification scores for\\n\",\"      the input data x.\\n\",\"    \\\"\\\"\\\"\\n\",\"    # first we flatten the image\\n\",\"    x = flatten(x)  # shape: [batch_size, C x H x W]\\n\",\"    \\n\",\"    w1, w2 = params\\n\",\"    \\n\",\"    # Forward pass: compute predicted y using operations on Tensors. Since w1 and\\n\",\"    # w2 have requires_grad=True, operations involving these Tensors will cause\\n\",\"    # PyTorch to build a computational graph, allowing automatic computation of\\n\",\"    # gradients. Since we are no longer implementing the backward pass by hand we\\n\",\"    # don't need to keep references to intermediate values.\\n\",\"    # you can also use `.clamp(min=0)`, equivalent to F.relu()\\n\",\"    x = F.relu(x.mm(w1))\\n\",\"    x = x.mm(w2)\\n\",\"    return x\\n\",\"    \\n\",\"\\n\",\"def two_layer_fc_test():\\n\",\"    hidden_layer_size = 42\\n\",\"    x = torch.zeros((64, 50), dtype=dtype)  # minibatch size 64, feature dimension 50\\n\",\"    w1 = torch.zeros((50, hidden_layer_size), dtype=dtype)\\n\",\"    w2 = torch.zeros((hidden_layer_size, 10), dtype=dtype)\\n\",\"    scores = two_layer_fc(x, [w1, w2])\\n\",\"    print(scores.size())  # you should see [64, 10]\\n\",\"\\n\",\"two_layer_fc_test()\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"torch.Size([64, 10])\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"6tyz11uVrsgB\"},\"source\":[\"### Barebones PyTorch: Three-Layer ConvNet\\n\",\"\\n\",\"Here you will complete the implementation of the function `three_layer_convnet`, which will perform the forward pass of a three-layer convolutional network. Like above, we can immediately test our implementation by passing zeros through the network. The network should have the following architecture:\\n\",\"\\n\",\"1. A convolutional layer (with bias) with `channel_1` filters, each with shape `KW1 x KH1`, and zero-padding of two\\n\",\"2. ReLU nonlinearity\\n\",\"3. A convolutional layer (with bias) with `channel_2` filters, each with shape `KW2 x KH2`, and zero-padding of one\\n\",\"4. ReLU nonlinearity\\n\",\"5. Fully-connected layer with bias, producing scores for C classes.\\n\",\"\\n\",\"Note that we have **no softmax activation** here after our fully-connected layer: this is because PyTorch's cross entropy loss performs a softmax activation for you, and by bundling that step in makes computation more efficient.\\n\",\"\\n\",\"**HINT**: For convolutions: http://pytorch.org/docs/stable/nn.html#torch.nn.functional.conv2d; pay attention to the shapes of convolutional filters!\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"m1-6at5YrsgC\"},\"source\":[\"def three_layer_convnet(x, params):\\n\",\"    \\\"\\\"\\\"\\n\",\"    Performs the forward pass of a three-layer convolutional network with the\\n\",\"    architecture defined above.\\n\",\"\\n\",\"    Inputs:\\n\",\"    - x: A PyTorch Tensor of shape (N, 3, H, W) giving a minibatch of images\\n\",\"    - params: A list of PyTorch Tensors giving the weights and biases for the\\n\",\"      network; should contain the following:\\n\",\"      - conv_w1: PyTorch Tensor of shape (channel_1, 3, KH1, KW1) giving weights\\n\",\"        for the first convolutional layer\\n\",\"      - conv_b1: PyTorch Tensor of shape (channel_1,) giving biases for the first\\n\",\"        convolutional layer\\n\",\"      - conv_w2: PyTorch Tensor of shape (channel_2, channel_1, KH2, KW2) giving\\n\",\"        weights for the second convolutional layer\\n\",\"      - conv_b2: PyTorch Tensor of shape (channel_2,) giving biases for the second\\n\",\"        convolutional layer\\n\",\"      - fc_w: PyTorch Tensor giving weights for the fully-connected layer. Can you\\n\",\"        figure out what the shape should be?\\n\",\"      - fc_b: PyTorch Tensor giving biases for the fully-connected layer. Can you\\n\",\"        figure out what the shape should be?\\n\",\"    \\n\",\"    Returns:\\n\",\"    - scores: PyTorch Tensor of shape (N, C) giving classification scores for x\\n\",\"    \\\"\\\"\\\"\\n\",\"    conv_w1, conv_b1, conv_w2, conv_b2, fc_w, fc_b = params\\n\",\"    scores = None\\n\",\"    ################################################################################\\n\",\"    # TODO: Implement the forward pass for the three-layer ConvNet.                #\\n\",\"    ################################################################################\\n\",\"    # *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\\n\",\"\\n\",\"    # Forward pass for the 1st layer: conv-relu.\\n\",\"    x = F.conv2d(x, conv_w1, conv_b1, padding=2)\\n\",\"    x = F.relu(x)\\n\",\"    # Forward pass for the 2nd layer: conv-relu.\\n\",\"    x = F.conv2d(x, conv_w2, conv_b2, padding=1)\\n\",\"    x = F.relu(x)\\n\",\"    # Flatten 'x' before passing it to the Fully-Connected layer,\\n\",\"    # i.e. Reshape it from (N, X, Y, Z) to (N, X*Y*Z).\\n\",\"    x = flatten(x)\\n\",\"    # Forward pass for the Fully-Connected layer. The output is 'scores'.\\n\",\"    scores = x.mm(fc_w) + fc_b\\n\",\"\\n\",\"    # *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\\n\",\"    ################################################################################\\n\",\"    #                                 END OF YOUR CODE                             #\\n\",\"    ################################################################################\\n\",\"    return scores\"],\"execution_count\":null,\"outputs\":[]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"7nwYJyOYrsgC\"},\"source\":[\"After defining the forward pass of the ConvNet above, run the following cell to test your implementation.\\n\",\"\\n\",\"When you run this function, scores should have shape (64, 10).\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"barebones_output_shape\",\"tags\":[\"pdf-ignore-input\"],\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1612962683595,\"user_tz\":-60,\"elapsed\":897,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"b813591f-4a6d-48d9-da41-b27722b22cd9\"},\"source\":[\"def three_layer_convnet_test():\\n\",\"    x = torch.zeros((64, 3, 32, 32), dtype=dtype)  # minibatch size 64, image size [3, 32, 32]\\n\",\"\\n\",\"    conv_w1 = torch.zeros((6, 3, 5, 5), dtype=dtype)  # [out_channel, in_channel, kernel_H, kernel_W]\\n\",\"    conv_b1 = torch.zeros((6,))  # out_channel\\n\",\"    conv_w2 = torch.zeros((9, 6, 3, 3), dtype=dtype)  # [out_channel, in_channel, kernel_H, kernel_W]\\n\",\"    conv_b2 = torch.zeros((9,))  # out_channel\\n\",\"\\n\",\"    # you must calculate the shape of the tensor after two conv layers, before the fully-connected layer\\n\",\"    fc_w = torch.zeros((9 * 32 * 32, 10))\\n\",\"    fc_b = torch.zeros(10)\\n\",\"\\n\",\"    scores = three_layer_convnet(x, [conv_w1, conv_b1, conv_w2, conv_b2, fc_w, fc_b])\\n\",\"    print(scores.size())  # you should see [64, 10]\\n\",\"three_layer_convnet_test()\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"torch.Size([64, 10])\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"b3DCUu84rsgC\"},\"source\":[\"### Barebones PyTorch: Initialization\\n\",\"Let's write a couple utility methods to initialize the weight matrices for our models.\\n\",\"\\n\",\"- `random_weight(shape)` initializes a weight tensor with the Kaiming normalization method.\\n\",\"- `zero_weight(shape)` initializes a weight tensor with all zeros. Useful for instantiating bias parameters.\\n\",\"\\n\",\"The `random_weight` function uses the Kaiming normal initialization method, described in:\\n\",\"\\n\",\"He et al, *Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification*, ICCV 2015, https://arxiv.org/abs/1502.01852\"]},{\"cell_type\":\"code\",\"metadata\":{\"tags\":[\"pdf-ignore-input\"],\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"id\":\"Z_uf4FNprsgD\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1613045152092,\"user_tz\":-60,\"elapsed\":11035,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"4ae4c813-4215-48fa-e412-90b7d3401e7f\"},\"source\":[\"def random_weight(shape):\\n\",\"    \\\"\\\"\\\"\\n\",\"    Create random Tensors for weights; setting requires_grad=True means that we\\n\",\"    want to compute gradients for these Tensors during the backward pass.\\n\",\"    We use Kaiming normalization: sqrt(2 / fan_in)\\n\",\"    \\\"\\\"\\\"\\n\",\"    if len(shape) == 2:  # FC weight\\n\",\"        fan_in = shape[0]\\n\",\"    else:\\n\",\"        fan_in = np.prod(shape[1:]) # conv weight [out_channel, in_channel, kH, kW]\\n\",\"    # randn is standard normal distribution generator. \\n\",\"    w = torch.randn(shape, device=device, dtype=dtype) * np.sqrt(2. / fan_in)\\n\",\"    w.requires_grad = True\\n\",\"    return w\\n\",\"\\n\",\"def zero_weight(shape):\\n\",\"    return torch.zeros(shape, device=device, dtype=dtype, requires_grad=True)\\n\",\"\\n\",\"# create a weight of shape [3 x 5]\\n\",\"# you should see the type `torch.cuda.FloatTensor` if you use GPU. \\n\",\"# Otherwise it should be `torch.FloatTensor`\\n\",\"random_weight((3, 5))\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"execute_result\",\"data\":{\"text/plain\":[\"tensor([[ 0.7874, -0.0887, -0.8017, -0.5849, -0.4455],\\n\",\"        [-0.3519,  1.8577,  0.0149, -0.0672,  0.3022],\\n\",\"        [ 0.6553,  1.2048,  0.3870,  0.0475,  0.9038]], device='cuda:0',\\n\",\"       requires_grad=True)\"]},\"metadata\":{\"tags\":[]},\"execution_count\":7}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"JmymrlwLrsgD\"},\"source\":[\"### Barebones PyTorch: Check Accuracy\\n\",\"When training the model we will use the following function to check the accuracy of our model on the training or validation sets.\\n\",\"\\n\",\"When checking accuracy we don't need to compute any gradients; as a result we don't need PyTorch to build a computational graph for us when we compute scores. To prevent a graph from being built we scope our computation under a `torch.no_grad()` context manager.\"]},{\"cell_type\":\"code\",\"metadata\":{\"tags\":[\"pdf-ignore-input\"],\"id\":\"HDYFHRa9rsgD\"},\"source\":[\"def check_accuracy_part2(loader, model_fn, params):\\n\",\"    \\\"\\\"\\\"\\n\",\"    Check the accuracy of a classification model.\\n\",\"    \\n\",\"    Inputs:\\n\",\"    - loader: A DataLoader for the data split we want to check\\n\",\"    - model_fn: A function that performs the forward pass of the model,\\n\",\"      with the signature scores = model_fn(x, params)\\n\",\"    - params: List of PyTorch Tensors giving parameters of the model\\n\",\"    \\n\",\"    Returns: Nothing, but prints the accuracy of the model\\n\",\"    \\\"\\\"\\\"\\n\",\"    split = 'val' if loader.dataset.train else 'test'\\n\",\"    print('Checking accuracy on the %s set' % split)\\n\",\"    num_correct, num_samples = 0, 0\\n\",\"    with torch.no_grad():\\n\",\"        for x, y in loader:\\n\",\"            x = x.to(device=device, dtype=dtype)  # move to device, e.g. GPU\\n\",\"            y = y.to(device=device, dtype=torch.int64)\\n\",\"            scores = model_fn(x, params)\\n\",\"            _, preds = scores.max(1)\\n\",\"            num_correct += (preds == y).sum()\\n\",\"            num_samples += preds.size(0)\\n\",\"        acc = float(num_correct) / num_samples\\n\",\"        print('Got %d / %d correct (%.2f%%)' % (num_correct, num_samples, 100 * acc))\"],\"execution_count\":null,\"outputs\":[]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"KlOhX4myrsgD\"},\"source\":[\"### BareBones PyTorch: Training Loop\\n\",\"We can now set up a basic training loop to train our network. We will train the model using stochastic gradient descent without momentum. We will use `torch.functional.cross_entropy` to compute the loss; you can [read about it here](http://pytorch.org/docs/stable/nn.html#cross-entropy).\\n\",\"\\n\",\"The training loop takes as input the neural network function, a list of initialized parameters (`[w1, w2]` in our example), and learning rate.\"]},{\"cell_type\":\"code\",\"metadata\":{\"tags\":[\"pdf-ignore-input\"],\"id\":\"JPz2olLWrsgD\"},\"source\":[\"def train_part2(model_fn, params, learning_rate):\\n\",\"    \\\"\\\"\\\"\\n\",\"    Train a model on CIFAR-10.\\n\",\"    \\n\",\"    Inputs:\\n\",\"    - model_fn: A Python function that performs the forward pass of the model.\\n\",\"      It should have the signature scores = model_fn(x, params) where x is a\\n\",\"      PyTorch Tensor of image data, params is a list of PyTorch Tensors giving\\n\",\"      model weights, and scores is a PyTorch Tensor of shape (N, C) giving\\n\",\"      scores for the elements in x.\\n\",\"    - params: List of PyTorch Tensors giving weights for the model\\n\",\"    - learning_rate: Python scalar giving the learning rate to use for SGD\\n\",\"    \\n\",\"    Returns: Nothing\\n\",\"    \\\"\\\"\\\"\\n\",\"    for t, (x, y) in enumerate(loader_train):\\n\",\"        # Move the data to the proper device (GPU or CPU)\\n\",\"        x = x.to(device=device, dtype=dtype)\\n\",\"        y = y.to(device=device, dtype=torch.long)\\n\",\"\\n\",\"        # Forward pass: compute scores and loss\\n\",\"        scores = model_fn(x, params)\\n\",\"        loss = F.cross_entropy(scores, y)\\n\",\"\\n\",\"        # Backward pass: PyTorch figures out which Tensors in the computational\\n\",\"        # graph has requires_grad=True and uses backpropagation to compute the\\n\",\"        # gradient of the loss with respect to these Tensors, and stores the\\n\",\"        # gradients in the .grad attribute of each Tensor.\\n\",\"        loss.backward()\\n\",\"\\n\",\"        # Update parameters. We don't want to backpropagate through the\\n\",\"        # parameter updates, so we scope the updates under a torch.no_grad()\\n\",\"        # context manager to prevent a computational graph from being built.\\n\",\"        with torch.no_grad():\\n\",\"            for w in params:\\n\",\"                w -= learning_rate * w.grad\\n\",\"\\n\",\"                # Manually zero the gradients after running the backward pass\\n\",\"                w.grad.zero_()\\n\",\"\\n\",\"        if t % print_every == 0:\\n\",\"            print('Iteration %d, loss = %.4f' % (t, loss.item()))\\n\",\"            check_accuracy_part2(loader_val, model_fn, params)\\n\",\"            print()\"],\"execution_count\":null,\"outputs\":[]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"_0tcAT8ZrsgE\"},\"source\":[\"### BareBones PyTorch: Train a Two-Layer Network\\n\",\"Now we are ready to run the training loop. We need to explicitly allocate tensors for the fully connected weights, `w1` and `w2`. \\n\",\"\\n\",\"Each minibatch of CIFAR has 64 examples, so the tensor shape is `[64, 3, 32, 32]`. \\n\",\"\\n\",\"After flattening, `x` shape should be `[64, 3 * 32 * 32]`. This will be the size of the first dimension of `w1`. \\n\",\"The second dimension of `w1` is the hidden layer size, which will also be the first dimension of `w2`. \\n\",\"\\n\",\"Finally, the output of the network is a 10-dimensional vector that represents the probability distribution over 10 classes. \\n\",\"\\n\",\"You don't need to tune any hyperparameters but you should see accuracies above 40% after training for one epoch.\"]},{\"cell_type\":\"code\",\"metadata\":{\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"id\":\"-0J-DW3VrsgE\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1612963604874,\"user_tz\":-60,\"elapsed\":93839,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"0597cd71-b642-469c-947d-2c6986ddd821\"},\"source\":[\"hidden_layer_size = 4000\\n\",\"learning_rate = 1e-2\\n\",\"\\n\",\"w1 = random_weight((3 * 32 * 32, hidden_layer_size))\\n\",\"w2 = random_weight((hidden_layer_size, 10))\\n\",\"\\n\",\"train_part2(two_layer_fc, [w1, w2], learning_rate)\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Iteration 0, loss = 3.0011\\n\",\"Checking accuracy on the val set\\n\",\"Got 150 / 1000 correct (15.00%)\\n\",\"\\n\",\"Iteration 100, loss = 2.3909\\n\",\"Checking accuracy on the val set\\n\",\"Got 367 / 1000 correct (36.70%)\\n\",\"\\n\",\"Iteration 200, loss = 2.0396\\n\",\"Checking accuracy on the val set\\n\",\"Got 317 / 1000 correct (31.70%)\\n\",\"\\n\",\"Iteration 300, loss = 1.9718\\n\",\"Checking accuracy on the val set\\n\",\"Got 426 / 1000 correct (42.60%)\\n\",\"\\n\",\"Iteration 400, loss = 1.7750\\n\",\"Checking accuracy on the val set\\n\",\"Got 418 / 1000 correct (41.80%)\\n\",\"\\n\",\"Iteration 500, loss = 1.9362\\n\",\"Checking accuracy on the val set\\n\",\"Got 436 / 1000 correct (43.60%)\\n\",\"\\n\",\"Iteration 600, loss = 1.6709\\n\",\"Checking accuracy on the val set\\n\",\"Got 443 / 1000 correct (44.30%)\\n\",\"\\n\",\"Iteration 700, loss = 1.3642\\n\",\"Checking accuracy on the val set\\n\",\"Got 473 / 1000 correct (47.30%)\\n\",\"\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"nd_HobRersgE\"},\"source\":[\"### BareBones PyTorch: Training a ConvNet\\n\",\"\\n\",\"In the below you should use the functions defined above to train a three-layer convolutional network on CIFAR. The network should have the following architecture:\\n\",\"\\n\",\"1. Convolutional layer (with bias) with 32 5x5 filters, with zero-padding of 2\\n\",\"2. ReLU\\n\",\"3. Convolutional layer (with bias) with 16 3x3 filters, with zero-padding of 1\\n\",\"4. ReLU\\n\",\"5. Fully-connected layer (with bias) to compute scores for 10 classes\\n\",\"\\n\",\"You should initialize your weight matrices using the `random_weight` function defined above, and you should initialize your bias vectors using the `zero_weight` function above.\\n\",\"\\n\",\"You don't need to tune any hyperparameters, but if everything works correctly you should achieve an accuracy above 42% after one epoch.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"barebones_accuracy\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1612964667521,\"user_tz\":-60,\"elapsed\":78494,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"170ff9e9-4d2d-4ab3-c692-707a62c2212f\"},\"source\":[\"learning_rate = 3e-3\\n\",\"\\n\",\"channel_1 = 32\\n\",\"channel_2 = 16\\n\",\"\\n\",\"conv_w1 = None\\n\",\"conv_b1 = None\\n\",\"conv_w2 = None\\n\",\"conv_b2 = None\\n\",\"fc_w = None\\n\",\"fc_b = None\\n\",\"\\n\",\"################################################################################\\n\",\"# TODO: Initialize the parameters of a three-layer ConvNet.                    #\\n\",\"################################################################################\\n\",\"# *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\\n\",\"\\n\",\"# conv_w1 shape is: (F1, C, H1, W1) = (32, 3, 5, 5).\\n\",\"# Where, F1: Number of filters, C: Number of channels, H1/W1: Filters height/width.\\n\",\"# The output shape is: (N, F1, H, W) = (64, 32, 32, 32).\\n\",\"# Where, N: Minibatch size, H/W: height/width of 'x'.\\n\",\"# Note that the `conv1` layer dimension was designed to preserve the 'x' original H/W.\\n\",\"conv_w1 = random_weight((channel_1, 3, 5, 5))\\n\",\"# Each filter has its own bias.\\n\",\"conv_b1 = zero_weight(channel_1)\\n\",\"# conv_w2 shape is: (F2, F1, H2, W2) = (16, 32, 3, 3).\\n\",\"# Output shape is: (N, F2, H, W) = (64, 16, 32, 32).\\n\",\"conv_w2 = random_weight((channel_2, channel_1, 3, 3))\\n\",\"conv_b2 = zero_weight(channel_2)\\n\",\"# fc_w shape is: (F2*H*W, Cls) = (16*32*32, 10), where 'Cls' is the number of classes.\\n\",\"# Output shape is: (N, Cls) = (64, 10).\\n\",\"fc_w = random_weight((channel_2*32*32, 10))\\n\",\"fc_b = zero_weight(10)\\n\",\"\\n\",\"# *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\\n\",\"################################################################################\\n\",\"#                                 END OF YOUR CODE                             #\\n\",\"################################################################################\\n\",\"\\n\",\"params = [conv_w1, conv_b1, conv_w2, conv_b2, fc_w, fc_b]\\n\",\"train_part2(three_layer_convnet, params, learning_rate)\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Iteration 0, loss = 3.5614\\n\",\"Checking accuracy on the val set\\n\",\"Got 116 / 1000 correct (11.60%)\\n\",\"\\n\",\"Iteration 100, loss = 1.7882\\n\",\"Checking accuracy on the val set\\n\",\"Got 367 / 1000 correct (36.70%)\\n\",\"\\n\",\"Iteration 200, loss = 1.7938\\n\",\"Checking accuracy on the val set\\n\",\"Got 406 / 1000 correct (40.60%)\\n\",\"\\n\",\"Iteration 300, loss = 1.7957\\n\",\"Checking accuracy on the val set\\n\",\"Got 427 / 1000 correct (42.70%)\\n\",\"\\n\",\"Iteration 400, loss = 1.5518\\n\",\"Checking accuracy on the val set\\n\",\"Got 450 / 1000 correct (45.00%)\\n\",\"\\n\",\"Iteration 500, loss = 1.5715\\n\",\"Checking accuracy on the val set\\n\",\"Got 468 / 1000 correct (46.80%)\\n\",\"\\n\",\"Iteration 600, loss = 1.4088\\n\",\"Checking accuracy on the val set\\n\",\"Got 482 / 1000 correct (48.20%)\\n\",\"\\n\",\"Iteration 700, loss = 1.3698\\n\",\"Checking accuracy on the val set\\n\",\"Got 487 / 1000 correct (48.70%)\\n\",\"\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"cS_Q0-5trsgE\"},\"source\":[\"# Part III. PyTorch Module API\\n\",\"\\n\",\"Barebone PyTorch requires that we track all the parameter tensors by hand. This is fine for small networks with a few tensors, but it would be extremely inconvenient and error-prone to track tens or hundreds of tensors in larger networks.\\n\",\"\\n\",\"PyTorch provides the `nn.Module` API for you to define arbitrary network architectures, while tracking every learnable parameters for you. In Part II, we implemented SGD ourselves. PyTorch also provides the `torch.optim` package that implements all the common optimizers, such as RMSProp, Adagrad, and Adam. It even supports approximate second-order methods like L-BFGS! You can refer to the [doc](http://pytorch.org/docs/master/optim.html) for the exact specifications of each optimizer.\\n\",\"\\n\",\"To use the Module API, follow the steps below:\\n\",\"\\n\",\"1. Subclass `nn.Module`. Give your network class an intuitive name like `TwoLayerFC`. \\n\",\"\\n\",\"2. In the constructor `__init__()`, define all the layers you need as class attributes. Layer objects like `nn.Linear` and `nn.Conv2d` are themselves `nn.Module` subclasses and contain learnable parameters, so that you don't have to instantiate the raw tensors yourself. `nn.Module` will track these internal parameters for you. Refer to the [doc](http://pytorch.org/docs/master/nn.html) to learn more about the dozens of builtin layers. **Warning**: don't forget to call the `super().__init__()` first!\\n\",\"\\n\",\"3. In the `forward()` method, define the *connectivity* of your network. You should use the attributes defined in `__init__` as function calls that take tensor as input and output the \\\"transformed\\\" tensor. Do *not* create any new layers with learnable parameters in `forward()`! All of them must be declared upfront in `__init__`. \\n\",\"\\n\",\"After you define your Module subclass, you can instantiate it as an object and call it just like the NN forward function in part II.\\n\",\"\\n\",\"### Module API: Two-Layer Network\\n\",\"Here is a concrete example of a 2-layer fully connected network:\"]},{\"cell_type\":\"code\",\"metadata\":{\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"id\":\"Uh71BkT7rsgE\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1612980408674,\"user_tz\":-60,\"elapsed\":815,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"5a04d191-c318-471e-c074-74a228c8ca66\"},\"source\":[\"class TwoLayerFC(nn.Module):\\n\",\"    def __init__(self, input_size, hidden_size, num_classes):\\n\",\"        super().__init__()\\n\",\"        # assign layer objects to class attributes\\n\",\"        self.fc1 = nn.Linear(input_size, hidden_size)\\n\",\"        # nn.init package contains convenient initialization methods\\n\",\"        # http://pytorch.org/docs/master/nn.html#torch-nn-init \\n\",\"        nn.init.kaiming_normal_(self.fc1.weight)\\n\",\"        self.fc2 = nn.Linear(hidden_size, num_classes)\\n\",\"        nn.init.kaiming_normal_(self.fc2.weight)\\n\",\"    \\n\",\"    def forward(self, x):\\n\",\"        # forward always defines connectivity\\n\",\"        x = flatten(x)\\n\",\"        scores = self.fc2(F.relu(self.fc1(x)))\\n\",\"        return scores\\n\",\"\\n\",\"def test_TwoLayerFC():\\n\",\"    input_size = 50\\n\",\"    x = torch.zeros((64, input_size), dtype=dtype)  # minibatch size 64, feature dimension 50\\n\",\"    model = TwoLayerFC(input_size, 42, 10)\\n\",\"    scores = model(x)\\n\",\"    print(scores.size())  # you should see [64, 10]\\n\",\"test_TwoLayerFC()\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"torch.Size([64, 10])\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"J69sq7bwrsgF\"},\"source\":[\"### Module API: Three-Layer ConvNet\\n\",\"It's your turn to implement a 3-layer ConvNet followed by a fully connected layer. The network architecture should be the same as in Part II:\\n\",\"\\n\",\"1. Convolutional layer with `channel_1` 5x5 filters with zero-padding of 2\\n\",\"2. ReLU\\n\",\"3. Convolutional layer with `channel_2` 3x3 filters with zero-padding of 1\\n\",\"4. ReLU\\n\",\"5. Fully-connected layer to `num_classes` classes\\n\",\"\\n\",\"You should initialize the weight matrices of the model using the Kaiming normal initialization method.\\n\",\"\\n\",\"**HINT**: http://pytorch.org/docs/stable/nn.html#conv2d\\n\",\"\\n\",\"After you implement the three-layer ConvNet, the `test_ThreeLayerConvNet` function will run your implementation; it should print `(64, 10)` for the shape of the output scores.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"module_output_shape\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1612980411014,\"user_tz\":-60,\"elapsed\":636,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"455f0641-9b20-456d-ec1f-f8033ccaa26b\"},\"source\":[\"class ThreeLayerConvNet(nn.Module):\\n\",\"    def __init__(self, in_channel, channel_1, channel_2, num_classes):\\n\",\"        super().__init__()\\n\",\"        ########################################################################\\n\",\"        # TODO: Set up the layers you need for a three-layer ConvNet with the  #\\n\",\"        # architecture defined above.                                          #\\n\",\"        ########################################################################\\n\",\"        # *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\\n\",\"\\n\",\"        # Define the 1st convolution layer and initialize its weights.\\n\",\"        self.conv1 = nn.Conv2d(in_channel, channel_1, 5, padding=2)\\n\",\"        nn.init.kaiming_normal_(self.conv1.weight)\\n\",\"\\n\",\"        # Define the 2nd convolution layer and initialize its weights.\\n\",\"        self.conv2 = nn.Conv2d(channel_1, channel_2, 3, padding=1)\\n\",\"        nn.init.kaiming_normal_(self.conv2.weight)\\n\",\"\\n\",\"        # Define the FC layer and initialize its weights. The FC 'hidden_size'\\n\",\"        # will be the result of flattening previous layer (conv2) output.\\n\",\"        hidden_size = channel_2 * 32 * 32\\n\",\"        self.fc = nn.Linear(hidden_size, num_classes)\\n\",\"        nn.init.kaiming_normal_(self.fc.weight)\\n\",\"\\n\",\"        # *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\\n\",\"        ########################################################################\\n\",\"        #                          END OF YOUR CODE                            #       \\n\",\"        ########################################################################\\n\",\"\\n\",\"    def forward(self, x):\\n\",\"        scores = None\\n\",\"        ########################################################################\\n\",\"        # TODO: Implement the forward function for a 3-layer ConvNet. you      #\\n\",\"        # should use the layers you defined in __init__ and specify the        #\\n\",\"        # connectivity of those layers in forward()                            #\\n\",\"        ########################################################################\\n\",\"        # *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\\n\",\"\\n\",\"        # Forward 'x' through conv1-relu, then (the previous output) conv2-relu.\\n\",\"        convsout = F.relu(self.conv1(x))\\n\",\"        convsout = F.relu(self.conv2(convsout))\\n\",\"\\n\",\"        # Flatten 'convsout' to meet the FC layer 'dot' operation needed shape.\\n\",\"        convsout = flatten(convsout)\\n\",\"        # Forward flattened 'convsout' through the FC layer.\\n\",\"        scores = self.fc(convsout)\\n\",\"\\n\",\"        # *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\\n\",\"        ########################################################################\\n\",\"        #                             END OF YOUR CODE                         #\\n\",\"        ########################################################################\\n\",\"        return scores\\n\",\"\\n\",\"\\n\",\"def test_ThreeLayerConvNet():\\n\",\"    x = torch.zeros((64, 3, 32, 32), dtype=dtype)  # minibatch size 64, image size [3, 32, 32]\\n\",\"    model = ThreeLayerConvNet(in_channel=3, channel_1=12, channel_2=8, num_classes=10)\\n\",\"    scores = model(x)\\n\",\"    print(scores.size())  # you should see [64, 10]\\n\",\"test_ThreeLayerConvNet()\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"torch.Size([64, 10])\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"YhqbTq3hrsgF\"},\"source\":[\"### Module API: Check Accuracy\\n\",\"Given the validation or test set, we can check the classification accuracy of a neural network. \\n\",\"\\n\",\"This version is slightly different from the one in part II. You don't manually pass in the parameters anymore.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"iAoDl2HPrsgF\"},\"source\":[\"def check_accuracy_part34(loader, model):\\n\",\"    if loader.dataset.train:\\n\",\"        print('Checking accuracy on validation set')\\n\",\"    else:\\n\",\"        print('Checking accuracy on test set')   \\n\",\"    num_correct = 0\\n\",\"    num_samples = 0\\n\",\"    model.eval()  # set model to evaluation mode\\n\",\"    with torch.no_grad():\\n\",\"        for x, y in loader:\\n\",\"            x = x.to(device=device, dtype=dtype)  # move to device, e.g. GPU\\n\",\"            y = y.to(device=device, dtype=torch.long)\\n\",\"            scores = model(x)\\n\",\"            _, preds = scores.max(1)\\n\",\"            num_correct += (preds == y).sum()\\n\",\"            num_samples += preds.size(0)\\n\",\"        acc = float(num_correct) / num_samples\\n\",\"        print('Got %d / %d correct (%.2f)' % (num_correct, num_samples, 100 * acc))\"],\"execution_count\":null,\"outputs\":[]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"jcAyzENarsgF\"},\"source\":[\"### Module API: Training Loop\\n\",\"We also use a slightly different training loop. Rather than updating the values of the weights ourselves, we use an Optimizer object from the `torch.optim` package, which abstract the notion of an optimization algorithm and provides implementations of most of the algorithms commonly used to optimize neural networks.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"6K4CP94ersgG\"},\"source\":[\"def train_part34(model, optimizer, epochs=1):\\n\",\"    \\\"\\\"\\\"\\n\",\"    Train a model on CIFAR-10 using the PyTorch Module API.\\n\",\"    \\n\",\"    Inputs:\\n\",\"    - model: A PyTorch Module giving the model to train.\\n\",\"    - optimizer: An Optimizer object we will use to train the model\\n\",\"    - epochs: (Optional) A Python integer giving the number of epochs to train for\\n\",\"    \\n\",\"    Returns: Nothing, but prints model accuracies during training.\\n\",\"    \\\"\\\"\\\"\\n\",\"    model = model.to(device=device)  # move the model parameters to CPU/GPU\\n\",\"    for e in range(epochs):\\n\",\"        for t, (x, y) in enumerate(loader_train):\\n\",\"            model.train()  # put model to training mode\\n\",\"            x = x.to(device=device, dtype=dtype)  # move to device, e.g. GPU\\n\",\"            y = y.to(device=device, dtype=torch.long)\\n\",\"\\n\",\"            scores = model(x)\\n\",\"            loss = F.cross_entropy(scores, y)\\n\",\"\\n\",\"            # Zero out all of the gradients for the variables which the optimizer\\n\",\"            # will update.\\n\",\"            optimizer.zero_grad()\\n\",\"\\n\",\"            # This is the backwards pass: compute the gradient of the loss with\\n\",\"            # respect to each  parameter of the model.\\n\",\"            loss.backward()\\n\",\"\\n\",\"            # Actually update the parameters of the model using the gradients\\n\",\"            # computed by the backwards pass.\\n\",\"            optimizer.step()\\n\",\"\\n\",\"            if t % print_every == 0:\\n\",\"                print('Iteration %d, loss = %.4f' % (t, loss.item()))\\n\",\"                check_accuracy_part34(loader_val, model)\\n\",\"                print()\"],\"execution_count\":null,\"outputs\":[]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"gAqQ22TIrsgG\"},\"source\":[\"### Module API: Train a Two-Layer Network\\n\",\"Now we are ready to run the training loop. In contrast to part II, we don't explicitly allocate parameter tensors anymore.\\n\",\"\\n\",\"Simply pass the input size, hidden layer size, and number of classes (i.e. output size) to the constructor of `TwoLayerFC`. \\n\",\"\\n\",\"You also need to define an optimizer that tracks all the learnable parameters inside `TwoLayerFC`.\\n\",\"\\n\",\"You don't need to tune any hyperparameters, but you should see model accuracies above 40% after training for one epoch.\"]},{\"cell_type\":\"code\",\"metadata\":{\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"id\":\"e_D3kw6TrsgG\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1612981027711,\"user_tz\":-60,\"elapsed\":12584,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"6e29e337-cef5-4b4e-f171-e104a630ede6\"},\"source\":[\"hidden_layer_size = 4000\\n\",\"learning_rate = 1e-2\\n\",\"model = TwoLayerFC(3 * 32 * 32, hidden_layer_size, 10)\\n\",\"optimizer = optim.SGD(model.parameters(), lr=learning_rate)\\n\",\"\\n\",\"train_part34(model, optimizer)\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Iteration 0, loss = 3.7102\\n\",\"Checking accuracy on validation set\\n\",\"Got 155 / 1000 correct (15.50)\\n\",\"\\n\",\"Iteration 100, loss = 2.3134\\n\",\"Checking accuracy on validation set\\n\",\"Got 293 / 1000 correct (29.30)\\n\",\"\\n\",\"Iteration 200, loss = 2.0270\\n\",\"Checking accuracy on validation set\\n\",\"Got 369 / 1000 correct (36.90)\\n\",\"\\n\",\"Iteration 300, loss = 2.1297\\n\",\"Checking accuracy on validation set\\n\",\"Got 375 / 1000 correct (37.50)\\n\",\"\\n\",\"Iteration 400, loss = 2.1488\\n\",\"Checking accuracy on validation set\\n\",\"Got 393 / 1000 correct (39.30)\\n\",\"\\n\",\"Iteration 500, loss = 1.7130\\n\",\"Checking accuracy on validation set\\n\",\"Got 406 / 1000 correct (40.60)\\n\",\"\\n\",\"Iteration 600, loss = 2.0719\\n\",\"Checking accuracy on validation set\\n\",\"Got 422 / 1000 correct (42.20)\\n\",\"\\n\",\"Iteration 700, loss = 1.7595\\n\",\"Checking accuracy on validation set\\n\",\"Got 434 / 1000 correct (43.40)\\n\",\"\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"wpi5_r7prsgG\"},\"source\":[\"### Module API: Train a Three-Layer ConvNet\\n\",\"You should now use the Module API to train a three-layer ConvNet on CIFAR. This should look very similar to training the two-layer network! You don't need to tune any hyperparameters, but you should achieve above above 45% after training for one epoch.\\n\",\"\\n\",\"You should train the model using stochastic gradient descent without momentum.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"module_accuracy\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1612968725130,\"user_tz\":-60,\"elapsed\":78674,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"d9e2035b-aa72-4bed-dc81-6b53f26fd493\"},\"source\":[\"learning_rate = 3e-3\\n\",\"channel_1 = 32\\n\",\"channel_2 = 16\\n\",\"\\n\",\"model = None\\n\",\"optimizer = None\\n\",\"################################################################################\\n\",\"# TODO: Instantiate your ThreeLayerConvNet model and a corresponding optimizer #\\n\",\"################################################################################\\n\",\"# *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\\n\",\"\\n\",\"model = ThreeLayerConvNet(3, channel_1, channel_2, 10)\\n\",\"optimizer = optim.SGD(model.parameters(), lr=learning_rate)\\n\",\"\\n\",\"# *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\\n\",\"################################################################################\\n\",\"#                                 END OF YOUR CODE                             \\n\",\"################################################################################\\n\",\"\\n\",\"train_part34(model, optimizer)\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Iteration 0, loss = 4.2089\\n\",\"Checking accuracy on validation set\\n\",\"Got 126 / 1000 correct (12.60)\\n\",\"\\n\",\"Iteration 100, loss = 2.0443\\n\",\"Checking accuracy on validation set\\n\",\"Got 360 / 1000 correct (36.00)\\n\",\"\\n\",\"Iteration 200, loss = 1.6874\\n\",\"Checking accuracy on validation set\\n\",\"Got 404 / 1000 correct (40.40)\\n\",\"\\n\",\"Iteration 300, loss = 1.6971\\n\",\"Checking accuracy on validation set\\n\",\"Got 414 / 1000 correct (41.40)\\n\",\"\\n\",\"Iteration 400, loss = 1.4544\\n\",\"Checking accuracy on validation set\\n\",\"Got 436 / 1000 correct (43.60)\\n\",\"\\n\",\"Iteration 500, loss = 1.5368\\n\",\"Checking accuracy on validation set\\n\",\"Got 458 / 1000 correct (45.80)\\n\",\"\\n\",\"Iteration 600, loss = 1.6142\\n\",\"Checking accuracy on validation set\\n\",\"Got 473 / 1000 correct (47.30)\\n\",\"\\n\",\"Iteration 700, loss = 1.4258\\n\",\"Checking accuracy on validation set\\n\",\"Got 469 / 1000 correct (46.90)\\n\",\"\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"lt55JLfersgG\"},\"source\":[\"# Part IV. PyTorch Sequential API\\n\",\"\\n\",\"Part III introduced the PyTorch Module API, which allows you to define arbitrary learnable layers and their connectivity. \\n\",\"\\n\",\"For simple models like a stack of feed forward layers, you still need to go through 3 steps: subclass `nn.Module`, assign layers to class attributes in `__init__`, and call each layer one by one in `forward()`. Is there a more convenient way? \\n\",\"\\n\",\"Fortunately, PyTorch provides a container Module called `nn.Sequential`, which merges the above steps into one. It is not as flexible as `nn.Module`, because you cannot specify more complex topology than a feed-forward stack, but it's good enough for many use cases.\\n\",\"\\n\",\"### Sequential API: Two-Layer Network\\n\",\"Let's see how to rewrite our two-layer fully connected network example with `nn.Sequential`, and train it using the training loop defined above.\\n\",\"\\n\",\"Again, you don't need to tune any hyperparameters here, but you shoud achieve above 40% accuracy after one epoch of training.\"]},{\"cell_type\":\"code\",\"metadata\":{\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"id\":\"dBMORN-1rsgH\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1613045210865,\"user_tz\":-60,\"elapsed\":14344,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"dc5a0bb5-192f-451e-8a4c-87521b8b853c\"},\"source\":[\"# We need to wrap `flatten` function in a module in order to stack it\\n\",\"# in nn.Sequential\\n\",\"class Flatten(nn.Module):\\n\",\"    def forward(self, x):\\n\",\"        return flatten(x)\\n\",\"\\n\",\"hidden_layer_size = 4000\\n\",\"learning_rate = 1e-2\\n\",\"\\n\",\"model = nn.Sequential(\\n\",\"    Flatten(),\\n\",\"    nn.Linear(3 * 32 * 32, hidden_layer_size),\\n\",\"    nn.ReLU(),\\n\",\"    nn.Linear(hidden_layer_size, 10),\\n\",\")\\n\",\"\\n\",\"# you can use Nesterov momentum in optim.SGD\\n\",\"optimizer = optim.SGD(model.parameters(), lr=learning_rate,\\n\",\"                     momentum=0.9, nesterov=True)\\n\",\"\\n\",\"train_part34(model, optimizer)\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Iteration 0, loss = 2.2779\\n\",\"Checking accuracy on validation set\\n\",\"Got 193 / 1000 correct (19.30)\\n\",\"\\n\",\"Iteration 100, loss = 1.7511\\n\",\"Checking accuracy on validation set\\n\",\"Got 404 / 1000 correct (40.40)\\n\",\"\\n\",\"Iteration 200, loss = 2.2488\\n\",\"Checking accuracy on validation set\\n\",\"Got 445 / 1000 correct (44.50)\\n\",\"\\n\",\"Iteration 300, loss = 1.8177\\n\",\"Checking accuracy on validation set\\n\",\"Got 417 / 1000 correct (41.70)\\n\",\"\\n\",\"Iteration 400, loss = 2.1701\\n\",\"Checking accuracy on validation set\\n\",\"Got 421 / 1000 correct (42.10)\\n\",\"\\n\",\"Iteration 500, loss = 1.8686\\n\",\"Checking accuracy on validation set\\n\",\"Got 410 / 1000 correct (41.00)\\n\",\"\\n\",\"Iteration 600, loss = 1.9725\\n\",\"Checking accuracy on validation set\\n\",\"Got 454 / 1000 correct (45.40)\\n\",\"\\n\",\"Iteration 700, loss = 1.6522\\n\",\"Checking accuracy on validation set\\n\",\"Got 418 / 1000 correct (41.80)\\n\",\"\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"8OGT9_3prsgH\"},\"source\":[\"### Sequential API: Three-Layer ConvNet\\n\",\"Here you should use `nn.Sequential` to define and train a three-layer ConvNet with the same architecture we used in Part III:\\n\",\"\\n\",\"1. Convolutional layer (with bias) with 32 5x5 filters, with zero-padding of 2\\n\",\"2. ReLU\\n\",\"3. Convolutional layer (with bias) with 16 3x3 filters, with zero-padding of 1\\n\",\"4. ReLU\\n\",\"5. Fully-connected layer (with bias) to compute scores for 10 classes\\n\",\"\\n\",\"You should initialize your weight matrices using the `random_weight` function defined above, and you should initialize your bias vectors using the `zero_weight` function above.\\n\",\"\\n\",\"You should optimize your model using stochastic gradient descent with Nesterov momentum 0.9.\\n\",\"\\n\",\"Again, you don't need to tune any hyperparameters but you should see accuracy above 55% after one epoch of training.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"sequential_accuracy\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1612978155370,\"user_tz\":-60,\"elapsed\":13755,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"3b8a15f7-953b-400a-87b3-ffbe0fc91296\"},\"source\":[\"channel_1 = 32\\n\",\"channel_2 = 16\\n\",\"learning_rate = 1e-2\\n\",\"\\n\",\"model = None\\n\",\"optimizer = None\\n\",\"\\n\",\"################################################################################\\n\",\"# TODO: Rewrite the 2-layer ConvNet with bias from Part III with the           #\\n\",\"# Sequential API.                                                              #\\n\",\"################################################################################\\n\",\"# *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\\n\",\"\\n\",\"model = nn.Sequential(\\n\",\"    nn.Conv2d(3, channel_1, 5, padding=2),\\n\",\"    nn.ReLU(),\\n\",\"    nn.Conv2d(channel_1, channel_2, 3, padding=1),\\n\",\"    nn.ReLU(),\\n\",\"    Flatten(),\\n\",\"    nn.Linear(channel_2 * 32 * 32, 10),\\n\",\")\\n\",\"\\n\",\"optimizer = optim.SGD(model.parameters(), lr=learning_rate,\\n\",\"                     momentum=0.9, nesterov=True)\\n\",\"\\n\",\"# *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\\n\",\"################################################################################\\n\",\"#                                 END OF YOUR CODE                             \\n\",\"################################################################################\\n\",\"\\n\",\"train_part34(model, optimizer)\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Iteration 0, loss = 2.2968\\n\",\"Checking accuracy on validation set\\n\",\"Got 143 / 1000 correct (14.30)\\n\",\"\\n\",\"Iteration 100, loss = 1.3784\\n\",\"Checking accuracy on validation set\\n\",\"Got 437 / 1000 correct (43.70)\\n\",\"\\n\",\"Iteration 200, loss = 1.8402\\n\",\"Checking accuracy on validation set\\n\",\"Got 431 / 1000 correct (43.10)\\n\",\"\\n\",\"Iteration 300, loss = 1.4508\\n\",\"Checking accuracy on validation set\\n\",\"Got 540 / 1000 correct (54.00)\\n\",\"\\n\",\"Iteration 400, loss = 1.2942\\n\",\"Checking accuracy on validation set\\n\",\"Got 525 / 1000 correct (52.50)\\n\",\"\\n\",\"Iteration 500, loss = 1.2702\\n\",\"Checking accuracy on validation set\\n\",\"Got 567 / 1000 correct (56.70)\\n\",\"\\n\",\"Iteration 600, loss = 1.4534\\n\",\"Checking accuracy on validation set\\n\",\"Got 560 / 1000 correct (56.00)\\n\",\"\\n\",\"Iteration 700, loss = 1.0572\\n\",\"Checking accuracy on validation set\\n\",\"Got 580 / 1000 correct (58.00)\\n\",\"\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"1QOnAYIWrsgH\"},\"source\":[\"# Part V. CIFAR-10 open-ended challenge\\n\",\"\\n\",\"In this section, you can experiment with whatever ConvNet architecture you'd like on CIFAR-10. \\n\",\"\\n\",\"Now it's your job to experiment with architectures, hyperparameters, loss functions, and optimizers to train a model that achieves **at least 70%** accuracy on the CIFAR-10 **validation** set within 10 epochs. You can use the check_accuracy and train functions from above. You can use either `nn.Module` or `nn.Sequential` API. \\n\",\"\\n\",\"Describe what you did at the end of this notebook.\\n\",\"\\n\",\"Here are the official API documentation for each component. One note: what we call in the class \\\"spatial batch norm\\\" is called \\\"BatchNorm2D\\\" in PyTorch.\\n\",\"\\n\",\"* Layers in torch.nn package: http://pytorch.org/docs/stable/nn.html\\n\",\"* Activations: http://pytorch.org/docs/stable/nn.html#non-linear-activations\\n\",\"* Loss functions: http://pytorch.org/docs/stable/nn.html#loss-functions\\n\",\"* Optimizers: http://pytorch.org/docs/stable/optim.html\\n\",\"\\n\",\"\\n\",\"### Things you might try:\\n\",\"- **Filter size**: Above we used 5x5; would smaller filters be more efficient?\\n\",\"- **Number of filters**: Above we used 32 filters. Do more or fewer do better?\\n\",\"- **Pooling vs Strided Convolution**: Do you use max pooling or just stride convolutions?\\n\",\"- **Batch normalization**: Try adding spatial batch normalization after convolution layers and vanilla batch normalization after affine layers. Do your networks train faster?\\n\",\"- **Network architecture**: The network above has two layers of trainable parameters. Can you do better with a deep network? Good architectures to try include:\\n\",\"    - [conv-relu-pool]xN -> [affine]xM -> [softmax or SVM]\\n\",\"    - [conv-relu-conv-relu-pool]xN -> [affine]xM -> [softmax or SVM]\\n\",\"    - [batchnorm-relu-conv]xN -> [affine]xM -> [softmax or SVM]\\n\",\"- **Global Average Pooling**: Instead of flattening and then having multiple affine layers, perform convolutions until your image gets small (7x7 or so) and then perform an average pooling operation to get to a 1x1 image picture (1, 1 , Filter#), which is then reshaped into a (Filter#) vector. This is used in [Google's Inception Network](https://arxiv.org/abs/1512.00567) (See Table 1 for their architecture).\\n\",\"- **Regularization**: Add l2 weight regularization, or perhaps use Dropout.\\n\",\"\\n\",\"### Tips for training\\n\",\"For each network architecture that you try, you should tune the learning rate and other hyperparameters. When doing this there are a couple important things to keep in mind:\\n\",\"\\n\",\"- If the parameters are working well, you should see improvement within a few hundred iterations\\n\",\"- Remember the coarse-to-fine approach for hyperparameter tuning: start by testing a large range of hyperparameters for just a few training iterations to find the combinations of parameters that are working at all.\\n\",\"- Once you have found some sets of parameters that seem to work, search more finely around these parameters. You may need to train for more epochs.\\n\",\"- You should use the validation set for hyperparameter search, and save your test set for evaluating your architecture on the best parameters as selected by the validation set.\\n\",\"\\n\",\"### Going above and beyond\\n\",\"If you are feeling adventurous there are many other features you can implement to try and improve your performance. You are **not required** to implement any of these, but don't miss the fun if you have time!\\n\",\"\\n\",\"- Alternative optimizers: you can try Adam, Adagrad, RMSprop, etc.\\n\",\"- Alternative activation functions such as leaky ReLU, parametric ReLU, ELU, or MaxOut.\\n\",\"- Model ensembles\\n\",\"- Data augmentation\\n\",\"- New Architectures\\n\",\"  - [ResNets](https://arxiv.org/abs/1512.03385) where the input from the previous layer is added to the output.\\n\",\"  - [DenseNets](https://arxiv.org/abs/1608.06993) where inputs into previous layers are concatenated together.\\n\",\"  - [This blog has an in-depth overview](https://chatbotslife.com/resnets-highwaynets-and-densenets-oh-my-9bb15918ee32)\\n\",\"\\n\",\"### Have fun and happy training! \"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"sVG07TTuAnRE\"},\"source\":[\"################################################################################\\r\\n\",\"# Implement custom training and accuracy checking function. So that, printed   #\\r\\n\",\"# statistics are more adequate for hyperparameters tuning.                     #\\r\\n\",\"################################################################################\\r\\n\",\"def check_accuracy_cnn_cifar10(loader, model):\\r\\n\",\"    '''\\r\\n\",\"    Check accuracy of a PyTorch `model`.\\r\\n\",\"\\r\\n\",\"    Returns: Accuracy of `model` on `loader` data as a probability.\\r\\n\",\"    '''\\r\\n\",\"    num_correct, num_samples = 0, 0\\r\\n\",\"    model.eval()  # set model to evaluation mode\\r\\n\",\"    with torch.no_grad():  # Prevent PyTorch of computing gradients\\r\\n\",\"        for x, y in loader:\\r\\n\",\"            x = x.to(device=device, dtype=dtype)  # move to device, e.g. GPU\\r\\n\",\"            y = y.to(device=device, dtype=torch.long)\\r\\n\",\"            scores = model(x)\\r\\n\",\"            _, preds = scores.max(1)\\r\\n\",\"            num_correct += (preds == y).sum()\\r\\n\",\"            num_samples += preds.size(0)\\r\\n\",\"        acc = float(num_correct) / num_samples\\r\\n\",\"\\r\\n\",\"    return acc\\r\\n\",\"\\r\\n\",\"\\r\\n\",\"def train_cnn_cifar10(model, optimizer, epochs=1, print_every=100):\\r\\n\",\"    '''\\r\\n\",\"    Train a model on CIFAR-10 using the PyTorch Module API.\\r\\n\",\"\\r\\n\",\"    Inputs:\\r\\n\",\"    - model: A PyTorch Module giving the model to train.\\r\\n\",\"    - optimizer: An Optimizer object we will use to train the model\\r\\n\",\"    - epochs: (Optional) A Python integer giving the number of epochs to train for\\r\\n\",\"    - print_every: (Optional) An integer giving the interval between statistics prints\\r\\n\",\"\\r\\n\",\"    Returns: Best model and its accuracy (based on validation accuracy),\\r\\n\",\"              and prints model accuracies during training.\\r\\n\",\"    '''\\r\\n\",\"    best_model, best_accuracy = None, -1\\r\\n\",\"\\r\\n\",\"    model = model.to(device=device)  # move the model parameters to CPU/GPU\\r\\n\",\"\\r\\n\",\"    for e in range(epochs):\\r\\n\",\"        for t, (x, y) in enumerate(loader_train):\\r\\n\",\"            model.train()  # put model to training mode\\r\\n\",\"            x = x.to(device=device, dtype=dtype)  # move to device, e.g. GPU\\r\\n\",\"            y = y.to(device=device, dtype=torch.long)\\r\\n\",\"\\r\\n\",\"            scores = model(x)\\r\\n\",\"            loss = F.cross_entropy(scores, y)\\r\\n\",\"\\r\\n\",\"            # Zero out all of the gradients for the variables which the optimizer\\r\\n\",\"            # will update.\\r\\n\",\"            optimizer.zero_grad()\\r\\n\",\"\\r\\n\",\"            # This is the backwards pass: compute the gradient of the loss with\\r\\n\",\"            # respect to each  parameter of the model.\\r\\n\",\"            loss.backward()\\r\\n\",\"\\r\\n\",\"            # Actually update the parameters of the model using the gradients\\r\\n\",\"            # computed by the backwards pass.\\r\\n\",\"            optimizer.step()\\r\\n\",\"\\r\\n\",\"            if t % print_every == 0:\\r\\n\",\"                valacc = check_accuracy_cnn_cifar10(loader_val, model)\\r\\n\",\"\\r\\n\",\"                if valacc > best_accuracy:\\r\\n\",\"                    best_accuracy = valacc\\r\\n\",\"                    best_model = model\\r\\n\",\"\\r\\n\",\"                print('Epoch: %2d | Iteration: %3d | Loss: %2.4f | Accuracy: %.2f' \\\\\\r\\n\",\"                        % (e, t, loss.item(), valacc))\\r\\n\",\"    \\r\\n\",\"    best_train_acc = check_accuracy_cnn_cifar10(loader_train, best_model)\\r\\n\",\"    print('\\\\nBest Train Accuracy: %.2f | Best Validation Accuracy: %.2f' \\\\\\r\\n\",\"          % (best_train_acc, best_accuracy))\\r\\n\",\"\\r\\n\",\"    return best_model, best_accuracy\\r\\n\",\"\\r\\n\",\"################################################################################\\r\\n\",\"#                               END OF ADDED CODE                              #\\r\\n\",\"################################################################################\"],\"execution_count\":null,\"outputs\":[]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"open_ended_accuracy\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1613053721548,\"user_tz\":-60,\"elapsed\":194492,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"e7504040-6ff4-4f72-96ee-fa7cdf2d1184\"},\"source\":[\"################################################################################\\n\",\"# TODO:                                                                        #         \\n\",\"# Experiment with any architectures, optimizers, and hyperparameters.          #\\n\",\"# Achieve AT LEAST 70% accuracy on the *validation set* within 10 epochs.      #\\n\",\"#                                                                              #\\n\",\"# Note that you can use the check_accuracy function to evaluate on either      #\\n\",\"# the test set or the validation set, by passing either loader_test or         #\\n\",\"# loader_val as the second argument to check_accuracy. You should not touch    #\\n\",\"# the test set until you have finished your architecture and  hyperparameter   #\\n\",\"# tuning, and only run the test set once at the end to report a final value.   #\\n\",\"################################################################################\\n\",\"model = None\\n\",\"optimizer = None\\n\",\"\\n\",\"# *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\\n\",\"\\n\",\"C1, C2 = 256, 128\\n\",\"k1, k2 = 7, 5\\n\",\"p1, p2 = 3, 2\\n\",\"\\n\",\"p = 0.5\\n\",\"lr = 8e-4\\n\",\"\\n\",\"model = nn.Sequential(\\n\",\"    nn.BatchNorm2d(3),\\n\",\"    nn.Conv2d(3, C1, k1, padding=p1),\\n\",\"    nn.ReLU(),\\n\",\"    nn.MaxPool2d(2),\\n\",\"    nn.Dropout2d(p=p),\\n\",\"\\n\",\"    nn.BatchNorm2d(C1),\\n\",\"    nn.Conv2d(C1, C2, k2, padding=p2),\\n\",\"    nn.ReLU(),\\n\",\"    nn.MaxPool2d(2),\\n\",\"    nn.Dropout2d(p=p),\\n\",\"\\n\",\"    nn.BatchNorm2d(C2),\\n\",\"    Flatten(),\\n\",\"    nn.Linear(C2 * 8 * 8, 10),\\n\",\")\\n\",\"\\n\",\"optimizer = optim.Adam(model.parameters(), lr=lr)\\n\",\"\\n\",\"# *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\\n\",\"################################################################################\\n\",\"#                                 END OF YOUR CODE                             #\\n\",\"################################################################################\\n\",\"# You should get at least 70% accuracy\\n\",\"best_model, best_accuracy = train_cnn_cifar10(model, optimizer, epochs=10, print_every=200)\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Epoch:  0 | Iteration:   0 | Loss: 2.3704 | Accuracy: 0.13\\n\",\"Epoch:  0 | Iteration: 200 | Loss: 1.6263 | Accuracy: 0.48\\n\",\"Epoch:  0 | Iteration: 400 | Loss: 1.5973 | Accuracy: 0.54\\n\",\"Epoch:  0 | Iteration: 600 | Loss: 1.5729 | Accuracy: 0.56\\n\",\"Epoch:  1 | Iteration:   0 | Loss: 1.7118 | Accuracy: 0.58\\n\",\"Epoch:  1 | Iteration: 200 | Loss: 1.5988 | Accuracy: 0.59\\n\",\"Epoch:  1 | Iteration: 400 | Loss: 1.4581 | Accuracy: 0.59\\n\",\"Epoch:  1 | Iteration: 600 | Loss: 1.4194 | Accuracy: 0.62\\n\",\"Epoch:  2 | Iteration:   0 | Loss: 1.3651 | Accuracy: 0.62\\n\",\"Epoch:  2 | Iteration: 200 | Loss: 1.2599 | Accuracy: 0.61\\n\",\"Epoch:  2 | Iteration: 400 | Loss: 1.2436 | Accuracy: 0.64\\n\",\"Epoch:  2 | Iteration: 600 | Loss: 1.2759 | Accuracy: 0.64\\n\",\"Epoch:  3 | Iteration:   0 | Loss: 1.0130 | Accuracy: 0.66\\n\",\"Epoch:  3 | Iteration: 200 | Loss: 1.2418 | Accuracy: 0.66\\n\",\"Epoch:  3 | Iteration: 400 | Loss: 1.0496 | Accuracy: 0.65\\n\",\"Epoch:  3 | Iteration: 600 | Loss: 1.3141 | Accuracy: 0.67\\n\",\"Epoch:  4 | Iteration:   0 | Loss: 0.9825 | Accuracy: 0.68\\n\",\"Epoch:  4 | Iteration: 200 | Loss: 1.0305 | Accuracy: 0.67\\n\",\"Epoch:  4 | Iteration: 400 | Loss: 1.1965 | Accuracy: 0.68\\n\",\"Epoch:  4 | Iteration: 600 | Loss: 1.3800 | Accuracy: 0.68\\n\",\"Epoch:  5 | Iteration:   0 | Loss: 1.0507 | Accuracy: 0.68\\n\",\"Epoch:  5 | Iteration: 200 | Loss: 1.0887 | Accuracy: 0.71\\n\",\"Epoch:  5 | Iteration: 400 | Loss: 1.0286 | Accuracy: 0.69\\n\",\"Epoch:  5 | Iteration: 600 | Loss: 0.9259 | Accuracy: 0.69\\n\",\"Epoch:  6 | Iteration:   0 | Loss: 0.7272 | Accuracy: 0.70\\n\",\"Epoch:  6 | Iteration: 200 | Loss: 0.9848 | Accuracy: 0.71\\n\",\"Epoch:  6 | Iteration: 400 | Loss: 1.0689 | Accuracy: 0.69\\n\",\"Epoch:  6 | Iteration: 600 | Loss: 1.1205 | Accuracy: 0.70\\n\",\"Epoch:  7 | Iteration:   0 | Loss: 1.0696 | Accuracy: 0.70\\n\",\"Epoch:  7 | Iteration: 200 | Loss: 0.7388 | Accuracy: 0.72\\n\",\"Epoch:  7 | Iteration: 400 | Loss: 0.8227 | Accuracy: 0.71\\n\",\"Epoch:  7 | Iteration: 600 | Loss: 1.1694 | Accuracy: 0.69\\n\",\"Epoch:  8 | Iteration:   0 | Loss: 0.8455 | Accuracy: 0.71\\n\",\"Epoch:  8 | Iteration: 200 | Loss: 0.8824 | Accuracy: 0.72\\n\",\"Epoch:  8 | Iteration: 400 | Loss: 1.3224 | Accuracy: 0.72\\n\",\"Epoch:  8 | Iteration: 600 | Loss: 0.8629 | Accuracy: 0.71\\n\",\"Epoch:  9 | Iteration:   0 | Loss: 0.6941 | Accuracy: 0.71\\n\",\"Epoch:  9 | Iteration: 200 | Loss: 0.7710 | Accuracy: 0.70\\n\",\"Epoch:  9 | Iteration: 400 | Loss: 0.9357 | Accuracy: 0.72\\n\",\"Epoch:  9 | Iteration: 600 | Loss: 1.0090 | Accuracy: 0.72\\n\",\"\\n\",\"Best Train Accuracy: 0.81 | Best Validation Accuracy: 0.72\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"tags\":[\"pdf-inline\"],\"id\":\"ucrg0nFirsgH\"},\"source\":[\"## Describe what you did \\n\",\"\\n\",\"In the cell below you should write an explanation of what you did, any additional features that you implemented, and/or any graphs that you made in the process of training and evaluating your network.\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"tags\":[\"pdf-inline\"],\"id\":\"7tWzLG97rsgI\"},\"source\":[\"My experiments roadmap is divided into three successive and complementary parts.\\r\\n\",\"\\r\\n\",\"### First Part\\r\\n\",\"\\r\\n\",\"Firstly, based on the architecture used previously in this notebook: `[conv-relu]x2 -> [affine]x1 -> [softmax]`, I started by adjusting architecture options themselves, more specifically: **Filter size**, **Kernel size**, use of **Dropout** and **Batch Normalization** as well as the types of **Activation functions**. After each parameter being adjusted, I move on to the next one keeping the best value of the previous parameter.\\r\\n\",\"\\r\\n\",\"The quality of a parameter value is based on the relationship between the **training accuracy** and the **validation accuracy** rate of the best model during training.\\r\\n\",\"\\r\\n\",\"Considering the large number of tested options/values, the presented results concern the network trained in **5 epochs** only (and **not 10**). In my opinion, this number is enough to get an idea about the quality of an option value.\\r\\n\",\"\\r\\n\",\"The detailed results of each parameter test are presented in tables.\\r\\n\",\"\\r\\n\",\"Let's start with the **number of the different filters** in the two convolutional layers. The best combination is: **32 (on the 1st layer) and 16 (on the 2nd layer)**. The choice is argued by the fact that the ratio of the train/val accuracy is the smallest (although it is similar to [64, 16], I chose [32, 16] because of its lightness). Details below.\\r\\n\",\"\\r\\n\",\"| conv 1 | conv 2 | Train Accuracy | Validation Accuracy | Best |\\r\\n\",\"|:------:|:------:|:--------------:|:-------------------:|:----:|\\r\\n\",\"|   16   |   32   |      0.93      |         0.64        |      |\\r\\n\",\"|   32   |   16   |      0.84      |         0.64        |   X  |\\r\\n\",\"|   64   |   16   |      0.82      |         0.63        |      |\\r\\n\",\"|   16   |   64   |      0.97      |         0.65        |      |\\r\\n\",\"\\r\\n\",\"Then, I moved to the **kernel size** of the filter. The best combination is: [5x5] (on the 1st layer) and [3x3] (on the 2nd layer). Details below.\\r\\n\",\"\\r\\n\",\"| conv 1 | conv 2 | Train Accuracy | Validation Accuracy | Best |\\r\\n\",\"|:------:|:------:|:--------------:|:-------------------:|:----:|\\r\\n\",\"|   5x5  |   3x3  |      0.64      |         0.66        |   X  |\\r\\n\",\"|   5x5  |   5x5  |      0.75      |         0.62        |      |\\r\\n\",\"|   7x7  |   3x3  |      0.83      |         0.62        |      |\\r\\n\",\"|   7x7  |   5x5  |      0.72      |         0.59        |      |\\r\\n\",\"|   7x7  |   7x7  |      0.68      |         0.58        |      |\\r\\n\",\"\\r\\n\",\"Afterward, I tested the **Dropout** on the first convolutional layer and on all the convolutional layers, this last option proved to be the best. Note that the Dropout was not applied to the FC layer since it's the output layer. Details below.\\r\\n\",\"\\r\\n\",\"|            Option           | Train Accuracy | Validation Accuracy | Best |\\r\\n\",\"|:---------------------------:|:--------------:|:-------------------:|:----:|\\r\\n\",\"| After first conv layer only |      0.73      |         0.60        |      |\\r\\n\",\"|    After all conv layers    |      0.67      |         0.61        |   X  |\\r\\n\",\"\\r\\n\",\"Then I added **Batch Normalization**. The best option is: Adding BN after each layer of the CNN. Details below.\\r\\n\",\"\\r\\n\",\"|              Option             | Train Accuracy | Validation Accuracy | Best |\\r\\n\",\"|:-------------------------------:|:--------------:|:-------------------:|:----:|\\r\\n\",\"|   Before first conv layer only  |      0.66      |         0.59        |      |\\r\\n\",\"|      Before each conv layer     |      0.64      |         0.59        |      |\\r\\n\",\"|        Before each layer        |      0.66      |         0.60        |   X  |\\r\\n\",\"| Only before the FC hidden layer |      0.63      |         0.58        |      |\\r\\n\",\"\\r\\n\",\"For the **activation functions**, I tested only two: **ReLU** and **Leaky ReLU**. Since ReLU is the current standard, I tested its variant to see if it can improve the accuracy rate. Finally, there was no improvement compared to the simple ReLU. Details below.\\r\\n\",\"\\r\\n\",\"|           Option          | Train Accuracy | Validation Accuracy | Best |\\r\\n\",\"|:-------------------------:|:--------------:|:-------------------:|:----:|\\r\\n\",\"|    Use ReLU activation    |      0.65      |         0.59        |   X  |\\r\\n\",\"| Use Leaky ReLU activation |      0.63      |         0.58        |      |\\r\\n\",\"\\r\\n\",\"### Second Part\\r\\n\",\"\\r\\n\",\"Secondly, I tested two different **architecture structures** (as suggested in the exercise description). Details below.\\r\\n\",\"\\r\\n\",\"|                  Architecture Structure                 | N | M | Train Accuracy | Validation Accuracy | Best |\\r\\n\",\"|:-------------------------------------------------------:|:-:|:-:|:--------------:|:-------------------:|:----:|\\r\\n\",\"|      [conv-relu-pool]xN -> [affine]xM -> [softmax]      | 1 | 1 |      0.67      |         0.61        |      |\\r\\n\",\"|      [conv-relu-pool]xN -> [affine]xM -> [softmax]      | 1 | 2 |      0.77      |         0.65        |      |\\r\\n\",\"|      [conv-relu-pool]xN -> [affine]xM -> [softmax]      | 2 | 1 |      0.60      |         0.60        |   X  |\\r\\n\",\"|      [conv-relu-pool]xN -> [affine]xM -> [softmax]      | 3 | 1 |      0.47      |         0.48        |      |\\r\\n\",\"|      [conv-relu-pool]xN -> [affine]xM -> [softmax]      | 3 | 2 |      0.46      |         0.49        |      |\\r\\n\",\"| [conv-relu-conv-relu-pool]xN -> [affine]xM -> [softmax] | 1 | 1 |      0.62      |         0.58        |      |\\r\\n\",\"| [conv-relu-conv-relu-pool]xN -> [affine]xM -> [softmax] | 2 | 1 |      0.49      |         0.51        |      |\\r\\n\",\"\\r\\n\",\"For the best architecture, I dug a little bit into the **number/size of filters**, and it only did good, I was able to improve the accuracy rate of the validation. Details below.\\r\\n\",\"\\r\\n\",\"| Filters in conv 1  | Filters in conv 2  | Train Accuracy | Validation Accuracy | Best |\\r\\n\",\"|:------------------:|:------------------:|:--------------:|:-------------------:|:----:|\\r\\n\",\"|         32         |         16         |      0.60      |         0.60        |      |\\r\\n\",\"|         64         |         16         |      0.61      |         0.62        |      |\\r\\n\",\"|         64         |         32         |      0.66      |         0.63        |      |\\r\\n\",\"|         128        |         64         |      0.71      |         0.67        |   X  |\\r\\n\",\"\\r\\n\",\"| Filters kernel in conv 1 | Filters kernel in conv 2  | Train Accuracy | Validation Accuracy | Best |\\r\\n\",\"|:------------------------:|:-------------------------:|:--------------:|:-------------------:|:----:|\\r\\n\",\"|            5x5           |            3x3            |      0.74      |         0.69        |      |\\r\\n\",\"|            7x7           |            5x5            |      0.73      |         0.69        |   X  |\\r\\n\",\"\\r\\n\",\"### Third Part\\r\\n\",\"\\r\\n\",\"Thirdly, I adjusted the hyperparameters.\\r\\n\",\"\\r\\n\",\"I started with the **learning-rate** and the **decay learning-rate**. I noticed that adding the **decay lr** deteriorated the accuracy rate, so I reset it to **1 (no decay lr)** for further testing. The best value of the lr is: $8 * 10^{-4}$. Details below.\\r\\n\",\"\\r\\n\",\"| Learning-rate | decay lr | Train Accuracy | Validation Accuracy | Best |\\r\\n\",\"|:-------------:|:--------:|:--------------:|:-------------------:|:----:|\\r\\n\",\"|     5.1e-3    |   0.97   |      0.42      |         0.45        |      |\\r\\n\",\"|    8.77e-3    |   0.87   |      0.32      |         0.32        |      |\\r\\n\",\"|     4.3e-3    |   0.89   |      0.34      |         0.36        |      |\\r\\n\",\"|      1e-4     |     1    |      0.70      |         0.67        |      |\\r\\n\",\"|      5e-4     |     1    |      0.47      |         0.69        |      |\\r\\n\",\"|      8e-4     |     1    |      0.74      |         0.70        |   X  |\\r\\n\",\"|      1e-3     |     1    |      0.74      |         0.68        |      |\\r\\n\",\"|      5e-3     |     1    |      0.69      |         0.66        |      |\\r\\n\",\"|      8e-3     |     1    |      0.65      |         0.64        |      |\\r\\n\",\"|      1e-2     |     1    |      0.65      |         0.63        |      |\\r\\n\",\"|      5e-2     |     1    |      0.45      |         0.49        |      |\\r\\n\",\"\\r\\n\",\"Finally, I played around with the **dropout** `p` parameter. The conclusion is that **0.5** was already the best value. Details below.\\r\\n\",\"\\r\\n\",\"|  p  | Train Accuracy | Validation Accuracy | Best |\\r\\n\",\"|:---:|:--------------:|:-------------------:|:----:|\\r\\n\",\"| 0.3 |      0.80      |         0.70        |      |\\r\\n\",\"| 0.4 |      0.76      |         0.70        |      |\\r\\n\",\"| 0.5 |      0.73      |         0.69        |   X  |\\r\\n\",\"| 0.6 |      0.70      |         0.65        |      |\\r\\n\",\"| 0.7 |      0.64      |         0.62        |      |\\r\\n\",\"| 0.8 |      0.58      |         0.58        |      |\\r\\n\",\"\\r\\n\",\"Note that I did not add **L2 regularization**, since using **Dropout** has already done a similar job (as explained in the course notes).\\r\\n\",\"\\r\\n\",\"### Final Result\\r\\n\",\"\\r\\n\",\"To resume, the best final configuration is:\\r\\n\",\"\\r\\n\",\"- **Architecture:** `[batchnorm-conv-relu-pool-dropout]x2 -> [batchnorm-affine] -> [softmax]`\\r\\n\",\"- **Filter number/size:** `256 x [5x5] (in conv 1)`, and `128 x [3x3] (in conv 2)`.\\r\\n\",\"- **Dropout:** `p = 0.5`.\\r\\n\",\"- **Learning-rate:** `8e-4` (without learning-rate decay).\\r\\n\",\"\\r\\n\",\"The final results are shown below (on the best model, trained in **10 epochs**).\\r\\n\",\"\\r\\n\",\"| Train Loss | Train Accuracy | Validation Accuracy | Test Accuracy |\\r\\n\",\"|:----------:|:--------------:|:-------------------:|:-------------:|\\r\\n\",\"|    0.739   |      81 %      |         72 %        |    72.71 %    |\\r\\n\",\"\\r\\n\",\"Note that I have not touched the other *exotic possibilities* (such as **data augmentation**, **adapting existing architectures**, or **transfer learning**), I suppose that the use of these things could push the validation/test accuracy higher.\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"7YOdowunrsgI\"},\"source\":[\"## Test set -- run this only once\\n\",\"\\n\",\"Now that we've gotten a result we're happy with, we test our final model on the test set (which you should store in best_model). Think about how this compares to your validation set accuracy.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"CPF9FXhzrsgI\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1613053782023,\"user_tz\":-60,\"elapsed\":2742,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"8223cff1-f135-45af-8d01-d9377cf513cf\"},\"source\":[\"best_model = model\\n\",\"check_accuracy_part34(loader_test, best_model)\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Checking accuracy on test set\\n\",\"Got 7271 / 10000 correct (72.71)\\n\"],\"name\":\"stdout\"}]}]}"
  },
  {
    "path": "cs231n/assignment2/README.md",
    "content": "<div>\r\n  <h2 align=\"center\"><a href=\"https://cs231n.github.io\">CS231n: Convolutional Neural Networks for Visual Recognition</a></h2>\r\n  <h2 align=\"center\"><a href=\"https://cs231n.github.io/assignments2020/assignment2/\">Assignment 2 (2020)</a></h3>\r\n</div>\r\n\r\n# Goals\r\n\r\nIn this assignment you will practice writing backpropagation code, and training Neural Networks and Convolutional Neural Networks. The goals of this assignment are as follows:\r\n\r\n- Understand **Neural Networks** and how they are arranged in layered architectures.\r\n- Understand and be able to implement (vectorized) **backpropagation**.\r\n- Implement various **update rules** used to optimize Neural Networks.\r\n- Implement **Batch Normalization** and **Layer Normalization** for training deep networks.\r\n- Implement **Dropout** to regularize networks.\r\n- Understand the architecture of **Convolutional Neural Networks** and get practice with training them.\r\n- Gain experience with a major deep learning framework: **PyTorch**.\r\n\r\n# Questions\r\n\r\n## Q1: Fully-connected Neural Network\r\n\r\nThe notebook [``FullyConnectedNets.ipynb``](FullyConnectedNets.ipynb) will introduce you to our modular layer design, and then use those layers to implement fully-connected networks of arbitrary depth. To optimize these models you will implement several popular update rules.\r\n\r\n## Q2: Batch Normalization\r\n\r\nIn notebook [``BatchNormalization.ipynb``](BatchNormalization.ipynb) you will implement batch normalization, and use it to train deep fully-connected networks.\r\n\r\n## Q3: Dropout\r\n\r\nThe notebook [``Dropout.ipynb``](Dropout.ipynb) will help you implement Dropout and explore its effects on model generalization.\r\n\r\n## Q4: Convolutional Networks\r\n\r\nIn the IPython Notebook [``ConvolutionalNetworks.ipynb``](ConvolutionalNetworks.ipynb) you will implement several new layers that are commonly used in convolutional networks.\r\n\r\n## Q5: PyTorch on CIFAR-10\r\n\r\nFor this last part, you will be working in PyTorch, a popular and powerful deep learning framework. Open up [``PyTorch.ipynb``](PyTorch.ipynb). There, you will learn how the framework works, culminating in training a convolutional network of your own design on CIFAR-10 to get the best performance you can.\r\n"
  },
  {
    "path": "cs231n/assignment2/cs231n/__init__.py",
    "content": ""
  },
  {
    "path": "cs231n/assignment2/cs231n/classifiers/__init__.py",
    "content": ""
  },
  {
    "path": "cs231n/assignment2/cs231n/classifiers/cnn.py",
    "content": "from builtins import object\nimport numpy as np\n\nfrom ..layers import *\nfrom ..fast_layers import *\nfrom ..layer_utils import *\n\n\nclass ThreeLayerConvNet(object):\n    \"\"\"\n    A three-layer convolutional network with the following architecture:\n\n    conv - relu - 2x2 max pool - affine - relu - affine - softmax\n\n    The network operates on minibatches of data that have shape (N, C, H, W)\n    consisting of N images, each with height H and width W and with C input\n    channels.\n    \"\"\"\n\n    def __init__(\n        self,\n        input_dim=(3, 32, 32),\n        num_filters=32,\n        filter_size=7,\n        hidden_dim=100,\n        num_classes=10,\n        weight_scale=1e-3,\n        reg=0.0,\n        dtype=np.float32,\n    ):\n        \"\"\"\n        Initialize a new network.\n\n        Inputs:\n        - input_dim: Tuple (C, H, W) giving size of input data\n        - num_filters: Number of filters to use in the convolutional layer\n        - filter_size: Width/height of filters to use in the convolutional layer\n        - hidden_dim: Number of units to use in the fully-connected hidden layer\n        - num_classes: Number of scores to produce from the final affine layer.\n        - weight_scale: Scalar giving standard deviation for random initialization\n          of weights.\n        - reg: Scalar giving L2 regularization strength\n        - dtype: numpy datatype to use for computation.\n        \"\"\"\n        self.params = {}\n        self.reg = reg\n        self.dtype = dtype\n\n        ############################################################################\n        # TODO: Initialize weights and biases for the three-layer convolutional    #\n        # network. Weights should be initialized from a Gaussian centered at 0.0   #\n        # with standard deviation equal to weight_scale; biases should be          #\n        # initialized to zero. All weights and biases should be stored in the      #\n        #  dictionary self.params. Store weights and biases for the convolutional  #\n        # layer using the keys 'W1' and 'b1'; use keys 'W2' and 'b2' for the       #\n        # weights and biases of the hidden affine layer, and keys 'W3' and 'b3'    #\n        # for the weights and biases of the output affine layer.                   #\n        #                                                                          #\n        # IMPORTANT: For this assignment, you can assume that the padding          #\n        # and stride of the first convolutional layer are chosen so that           #\n        # **the width and height of the input are preserved**. Take a look at      #\n        # the start of the loss() function to see how that happens.                #\n        ############################################################################\n        # *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n\n        # W1 shape is: F, C, filter_size, filter_size.\n        W1shape = (num_filters, input_dim[0], filter_size, filter_size)\n        self.params['W1'] = np.random.normal(0.0, weight_scale, W1shape)\n        self.params['b1'] = np.zeros(num_filters)\n\n        # Standard fully-connected net.\n        # W2 shape (2nd part) is the flattening result of the conv-relu-pool layer output.\n        inlayer_size = num_filters * input_dim[1]//2 * input_dim[2]//2\n        W2shape = (inlayer_size, hidden_dim)\n        self.params['W2'] = np.random.normal(0.0, weight_scale, W2shape)\n        self.params['b2'] = np.zeros(hidden_dim)\n\n        W3shape = (hidden_dim, num_classes)\n        self.params['W3'] = np.random.normal(0.0, weight_scale, W3shape)\n        self.params['b3'] = np.zeros(num_classes)\n\n        # *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n        ############################################################################\n        #                             END OF YOUR CODE                             #\n        ############################################################################\n\n        for k, v in self.params.items():\n            self.params[k] = v.astype(dtype)\n\n    def loss(self, X, y=None):\n        \"\"\"\n        Evaluate loss and gradient for the three-layer convolutional network.\n\n        Input / output: Same API as TwoLayerNet in fc_net.py.\n        \"\"\"\n        W1, b1 = self.params[\"W1\"], self.params[\"b1\"]\n        W2, b2 = self.params[\"W2\"], self.params[\"b2\"]\n        W3, b3 = self.params[\"W3\"], self.params[\"b3\"]\n\n        # pass conv_param to the forward pass for the convolutional layer\n        # Padding and stride chosen to preserve the input spatial size\n        filter_size = W1.shape[2]\n        conv_param = {\"stride\": 1, \"pad\": (filter_size - 1) // 2}\n\n        # pass pool_param to the forward pass for the max-pooling layer\n        pool_param = {\"pool_height\": 2, \"pool_width\": 2, \"stride\": 2}\n\n        scores = None\n        ############################################################################\n        # TODO: Implement the forward pass for the three-layer convolutional net,  #\n        # computing the class scores for X and storing them in the scores          #\n        # variable.                                                                #\n        #                                                                          #\n        # Remember you can use the functions defined in cs231n/fast_layers.py and  #\n        # cs231n/layer_utils.py in your implementation (already imported).         #\n        ############################################################################\n        # *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n\n        N, C, H, W = X.shape\n        F = W1.shape[0]\n\n        # Compute the conv-relu-pool layer forward pass, and store the output in 'convout'.\n        convout, conv_cache = conv_relu_pool_forward(X, W1, b1, conv_param, pool_param)\n\n        # Reshape 'convout' to match the hidden layer size (input to the Fully-Connected net).\n        convout = convout.reshape(N, W2.shape[0])\n        # Compute the hidden layer (affine-relu) forward pass, and store the output in 'hidout'.\n        hidout, hid_cache = affine_relu_forward(convout, W2, b2)\n\n        # Compute the output layer (affine) forward pass, and store the output in 'scores'.\n        scores, scores_cache = affine_forward(hidout, W3, b3)\n\n        # *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n        ############################################################################\n        #                             END OF YOUR CODE                             #\n        ############################################################################\n\n        if y is None:\n            return scores\n\n        loss, grads = 0, {}\n        ############################################################################\n        # TODO: Implement the backward pass for the three-layer convolutional net, #\n        # storing the loss and gradients in the loss and grads variables. Compute  #\n        # data loss using softmax, and make sure that grads[k] holds the gradients #\n        # for self.params[k]. Don't forget to add L2 regularization!               #\n        #                                                                          #\n        # NOTE: To ensure that your implementation matches ours and you pass the   #\n        # automated tests, make sure that your L2 regularization includes a factor #\n        # of 0.5 to simplify the expression for the gradient.                      #\n        ############################################################################\n        # *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n        \n        # Compute the \"raw\" loss (without L2 regularization).\n        loss, d_socres = softmax_loss(scores, y)\n\n        # Add L2 regularization to the loss\n        reg_weights = np.sum(W1**2) + np.sum(W2**2) + np.sum(W3**2)\n        loss += 0.5 * self.reg * reg_weights\n\n        # Backward pass implementation.\n        # Compute the output layer (affine) backward pass.\n        d_hidout, dw3, db3 = affine_backward(d_socres, scores_cache)\n\n        # Compute the hidden layer (affine-relu) backward pass.\n        d_convout, dw2, db2 = affine_relu_backward(d_hidout, hid_cache)\n\n        # Reshape 'd_convout' to match 'convout' original (non-reshaped) size.\n        d_convout = d_convout.reshape(N, F, H//2, W//2)\n        # Compute the input layer (conv-relu-pool) backward pass.\n        dx, dw1, db1 = conv_relu_pool_backward(d_convout, conv_cache)\n\n        # Assign the weights gradients (with their corresponding L2 regularization derivate).\n        grads['W1'] = dw1 + self.reg * np.sum(W1)\n        grads['W2'] = dw2 + self.reg * np.sum(W2)\n        grads['W3'] = dw3 + self.reg * np.sum(W3)\n        # Assign the biases gradients.\n        grads['b1'], grads['b2'], grads['b3'] = db1, db2, db3\n\n        # *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n        ############################################################################\n        #                             END OF YOUR CODE                             #\n        ############################################################################\n\n        return loss, grads\n"
  },
  {
    "path": "cs231n/assignment2/cs231n/classifiers/fc_net.py",
    "content": "from builtins import range\nfrom builtins import object\nimport numpy as np\n\nfrom ..layers import *\nfrom ..layer_utils import *\n\n\nclass TwoLayerNet(object):\n    \"\"\"\n    A two-layer fully-connected neural network with ReLU nonlinearity and\n    softmax loss that uses a modular layer design. We assume an input dimension\n    of D, a hidden dimension of H, and perform classification over C classes.\n\n    The architecure should be affine - relu - affine - softmax.\n\n    Note that this class does not implement gradient descent; instead, it\n    will interact with a separate Solver object that is responsible for running\n    optimization.\n\n    The learnable parameters of the model are stored in the dictionary\n    self.params that maps parameter names to numpy arrays.\n    \"\"\"\n\n    def __init__(\n        self,\n        input_dim=3 * 32 * 32,\n        hidden_dim=100,\n        num_classes=10,\n        weight_scale=1e-3,\n        reg=0.0,\n    ):\n        \"\"\"\n        Initialize a new network.\n\n        Inputs:\n        - input_dim: An integer giving the size of the input\n        - hidden_dim: An integer giving the size of the hidden layer\n        - num_classes: An integer giving the number of classes to classify\n        - weight_scale: Scalar giving the standard deviation for random\n          initialization of the weights.\n        - reg: Scalar giving L2 regularization strength.\n        \"\"\"\n        self.params = {}\n        self.reg = reg\n\n        ############################################################################\n        # TODO: Initialize the weights and biases of the two-layer net. Weights    #\n        # should be initialized from a Gaussian centered at 0.0 with               #\n        # standard deviation equal to weight_scale, and biases should be           #\n        # initialized to zero. All weights and biases should be stored in the      #\n        # dictionary self.params, with first layer weights                         #\n        # and biases using the keys 'W1' and 'b1' and second layer                 #\n        # weights and biases using the keys 'W2' and 'b2'.                         #\n        ############################################################################\n        # *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n\n        self.params['b1'] = np.zeros(hidden_dim)\n        self.params['b2'] = np.zeros(num_classes)\n\n        self.params['W1'] = np.random.normal(0.0, weight_scale, (input_dim, hidden_dim))\n        self.params['W2'] = np.random.normal(0.0, weight_scale, (hidden_dim, num_classes))\n\n        # *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n        ############################################################################\n        #                             END OF YOUR CODE                             #\n        ############################################################################\n\n    def loss(self, X, y=None):\n        \"\"\"\n        Compute loss and gradient for a minibatch of data.\n\n        Inputs:\n        - X: Array of input data of shape (N, d_1, ..., d_k)\n        - y: Array of labels, of shape (N,). y[i] gives the label for X[i].\n\n        Returns:\n        If y is None, then run a test-time forward pass of the model and return:\n        - scores: Array of shape (N, C) giving classification scores, where\n          scores[i, c] is the classification score for X[i] and class c.\n\n        If y is not None, then run a training-time forward and backward pass and\n        return a tuple of:\n        - loss: Scalar value giving the loss\n        - grads: Dictionary with the same keys as self.params, mapping parameter\n          names to gradients of the loss with respect to those parameters.\n        \"\"\"\n        scores = None\n        ############################################################################\n        # TODO: Implement the forward pass for the two-layer net, computing the    #\n        # class scores for X and storing them in the scores variable.              #\n        ############################################################################\n        # *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n\n        z1, z1_cache = affine_relu_forward(X, self.params['W1'], self.params['b1'])\n\n        a2, a2_cache = affine_forward(z1, self.params['W2'], self.params['b2'])\n\n        scores = a2\n\n        # *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n        ############################################################################\n        #                             END OF YOUR CODE                             #\n        ############################################################################\n\n        # If y is None then we are in test mode so just return scores\n        if y is None:\n            return scores\n\n        loss, grads = 0, {}\n        ############################################################################\n        # TODO: Implement the backward pass for the two-layer net. Store the loss  #\n        # in the loss variable and gradients in the grads dictionary. Compute data #\n        # loss using softmax, and make sure that grads[k] holds the gradients for  #\n        # self.params[k]. Don't forget to add L2 regularization!                   #\n        #                                                                          #\n        # NOTE: To ensure that your implementation matches ours and you pass the   #\n        # automated tests, make sure that your L2 regularization includes a factor #\n        # of 0.5 to simplify the expression for the gradient.                      #\n        ############################################################################\n        # *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n\n        loss, d_scores = softmax_loss(scores, y)\n\n        reg_weights = np.sum(self.params['W1']**2) + np.sum(self.params['W2']**2)\n\n        loss += 0.5 * self.reg * reg_weights\n\n        d_z1, d_W2, d_b2 = affine_backward(d_scores, a2_cache)\n\n        d_x, d_W1, d_b1 = affine_relu_backward(d_z1, z1_cache)\n\n        grads['b2'] = d_b2\n        grads['W2'] = d_W2 + self.reg * self.params['W2']\n\n        grads['b1'] = d_b1\n        grads['W1'] = d_W1 + self.reg * self.params['W1']\n\n        # *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n        ############################################################################\n        #                             END OF YOUR CODE                             #\n        ############################################################################\n\n        return loss, grads\n\n\n############################################################################\n# Define additional helper layer which takes into account the Batch/Layer  #\n# Normalization (Forward and Backward pass).                               #\n############################################################################\ndef affine_norm_relu_forward(x, w, b, gamma, beta, n_param, normalization):\n    \"\"\"\n    Convenience layer that perorms an affine transform followed by a Batch/Layer\n    Normalization, and a ReLU\n\n    Inputs:\n    - x: Input to the affine layer\n    - w, b: Weights for the affine layer\n    - gamma, beta, n_param: Batch/Layer Normalization parameters\n    - normalization: Indicate the Normalization type, Batch or Layer\n\n    Returns a tuple of:\n    - out: Output from the ReLU\n    - cache: Object to give to the backward pass\n    \"\"\"\n    a1, fc_cache = affine_forward(x, w, b)\n\n    if normalization == 'batchnorm':\n      a2, norm_cache = batchnorm_forward(a1, gamma, beta, n_param)\n\n    elif normalization == 'layernorm':\n      a2, norm_cache = layernorm_forward(a1, gamma, beta, n_param)\n\n    out, relu_cache = relu_forward(a2)\n    cache = (fc_cache, norm_cache, relu_cache)\n\n    return out, cache\n\n\ndef affine_norm_relu_backward(dout, cache, normalization):\n    \"\"\"\n    Backward pass for the affine-norm-relu convenience layer\n    \"\"\"\n    fc_cache, n_cache, relu_cache = cache\n\n    da1 = relu_backward(dout, relu_cache)\n\n    if normalization == 'batchnorm':\n      da2, dgamma, dbeta = batchnorm_backward_alt(da1, n_cache)\n\n    elif normalization == 'layernorm':\n      da2, dgamma, dbeta = layernorm_backward(da1, n_cache)\n\n    dx, dw, db = affine_backward(da2, fc_cache)\n\n    return dx, dw, db, dgamma, dbeta\n\n############################################################################\n#                        END OF THE ADDITIONAL CODE                        #\n############################################################################\n\n\nclass FullyConnectedNet(object):\n    \"\"\"\n    A fully-connected neural network with an arbitrary number of hidden layers,\n    ReLU nonlinearities, and a softmax loss function. This will also implement\n    dropout and batch/layer normalization as options. For a network with L layers,\n    the architecture will be\n\n    {affine - [batch/layer norm] - relu - [dropout]} x (L - 1) - affine - softmax\n\n    where batch/layer normalization and dropout are optional, and the {...} block is\n    repeated L - 1 times.\n\n    Similar to the TwoLayerNet above, learnable parameters are stored in the\n    self.params dictionary and will be learned using the Solver class.\n    \"\"\"\n\n    def __init__(\n        self,\n        hidden_dims,\n        input_dim=3 * 32 * 32,\n        num_classes=10,\n        dropout=1,\n        normalization=None,\n        reg=0.0,\n        weight_scale=1e-2,\n        dtype=np.float32,\n        seed=None,\n    ):\n        \"\"\"\n        Initialize a new FullyConnectedNet.\n\n        Inputs:\n        - hidden_dims: A list of integers giving the size of each hidden layer.\n        - input_dim: An integer giving the size of the input.\n        - num_classes: An integer giving the number of classes to classify.\n        - dropout: Scalar between 0 and 1 giving dropout strength. If dropout=1 then\n          the network should not use dropout at all.\n        - normalization: What type of normalization the network should use. Valid values\n          are \"batchnorm\", \"layernorm\", or None for no normalization (the default).\n        - reg: Scalar giving L2 regularization strength.\n        - weight_scale: Scalar giving the standard deviation for random\n          initialization of the weights.\n        - dtype: A numpy datatype object; all computations will be performed using\n          this datatype. float32 is faster but less accurate, so you should use\n          float64 for numeric gradient checking.\n        - seed: If not None, then pass this random seed to the dropout layers. This\n          will make the dropout layers deteriminstic so we can gradient check the\n          model.\n        \"\"\"\n        self.normalization = normalization\n        self.use_dropout = dropout != 1\n        self.reg = reg\n        self.num_layers = 1 + len(hidden_dims)\n        self.dtype = dtype\n        self.params = {}\n\n        ############################################################################\n        # TODO: Initialize the parameters of the network, storing all values in    #\n        # the self.params dictionary. Store weights and biases for the first layer #\n        # in W1 and b1; for the second layer use W2 and b2, etc. Weights should be #\n        # initialized from a normal distribution centered at 0 with standard       #\n        # deviation equal to weight_scale. Biases should be initialized to zero.   #\n        #                                                                          #\n        # When using batch normalization, store scale and shift parameters for the #\n        # first layer in gamma1 and beta1; for the second layer use gamma2 and     #\n        # beta2, etc. Scale parameters should be initialized to ones and shift     #\n        # parameters should be initialized to zeros.                               #\n        ############################################################################\n        # *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n\n        hidden_dims.append(num_classes)\n\n        for layer_idx, layer_dim in enumerate(hidden_dims):\n          if layer_idx == 0:\n            prev_layer_dim = input_dim\n          else:\n            prev_layer_dim = hidden_dims[layer_idx-1]\n\n          weights_name = 'W' + str(layer_idx+1)\n          weights_dim = (prev_layer_dim, layer_dim)\n\n          biases_name = 'b' + str(layer_idx+1)\n\n          self.params[weights_name] = np.random.normal(0.0, weight_scale, weights_dim)\n          self.params[biases_name] = np.zeros(layer_dim)\n\n          # Add Batch/Layer Normalization layer parameter initialization (Beta and Gamma).\n          # Don't apply Batch/Layer Normalization on the output layer.\n          if self.normalization and layer_idx < self.num_layers-1:\n            self.params['gamma' + str(layer_idx+1)] = np.ones(layer_dim)\n            self.params['beta' + str(layer_idx+1)] = np.zeros(layer_dim)\n\n        # *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n        ############################################################################\n        #                             END OF YOUR CODE                             #\n        ############################################################################\n\n        # When using dropout we need to pass a dropout_param dictionary to each\n        # dropout layer so that the layer knows the dropout probability and the mode\n        # (train / test). You can pass the same dropout_param to each dropout layer.\n        self.dropout_param = {}\n        if self.use_dropout:\n            self.dropout_param = {\"mode\": \"train\", \"p\": dropout}\n            if seed is not None:\n                self.dropout_param[\"seed\"] = seed\n\n        # With batch normalization we need to keep track of running means and\n        # variances, so we need to pass a special bn_param object to each batch\n        # normalization layer. You should pass self.bn_params[0] to the forward pass\n        # of the first batch normalization layer, self.bn_params[1] to the forward\n        # pass of the second batch normalization layer, etc.\n        self.bn_params = []\n        if self.normalization == \"batchnorm\":\n            self.bn_params = [{\"mode\": \"train\"} for i in range(self.num_layers - 1)]\n        if self.normalization == \"layernorm\":\n            self.bn_params = [{} for i in range(self.num_layers - 1)]\n\n        # Cast all parameters to the correct datatype\n        for k, v in self.params.items():\n            self.params[k] = v.astype(dtype)\n\n    def loss(self, X, y=None):\n        \"\"\"\n        Compute loss and gradient for the fully-connected net.\n\n        Input / output: Same as TwoLayerNet above.\n        \"\"\"\n        X = X.astype(self.dtype)\n        mode = \"test\" if y is None else \"train\"\n\n        # Set train/test mode for batchnorm params and dropout param since they\n        # behave differently during training and testing.\n        if self.use_dropout:\n            self.dropout_param[\"mode\"] = mode\n        if self.normalization == \"batchnorm\":\n            for bn_param in self.bn_params:\n                bn_param[\"mode\"] = mode\n        scores = None\n        ############################################################################\n        # TODO: Implement the forward pass for the fully-connected net, computing  #\n        # the class scores for X and storing them in the scores variable.          #\n        #                                                                          #\n        # When using dropout, you'll need to pass self.dropout_param to each       #\n        # dropout forward pass.                                                    #\n        #                                                                          #\n        # When using batch normalization, you'll need to pass self.bn_params[0] to #\n        # the forward pass for the first batch normalization layer, pass           #\n        # self.bn_params[1] to the forward pass for the second batch normalization #\n        # layer, etc.                                                              #\n        ############################################################################\n        # *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n\n        cache_layers, dp_cache_layers, last_output = [], [], None\n        reg_weights = 0\n\n        for layer_idx in range(self.num_layers):\n          weights = self.params['W' + str(layer_idx+1)]\n          biases = self.params['b' + str(layer_idx+1)]\n\n          if layer_idx == 0:\n            last_output = X\n\n          if layer_idx == self.num_layers-1:\n            last_output, cache = affine_forward(last_output, weights, biases)\n\n          else:\n            if self.normalization:\n              last_output, cache = affine_norm_relu_forward(last_output,\n                                    weights, biases,\n                                    self.params['gamma' + str(layer_idx+1)],\n                                    self.params['beta' + str(layer_idx+1)],\n                                    self.bn_params[layer_idx],\n                                    self.normalization)\n            else:\n              last_output, cache = affine_relu_forward(last_output, weights, biases)\n\n            if self.use_dropout:\n              last_output, dp_cache = dropout_forward(last_output, self.dropout_param)\n              dp_cache_layers.append(dp_cache)\n\n          cache_layers.append(cache)\n\n          reg_weights += np.sum(weights**2)\n\n        scores = last_output\n\n        # *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n        ############################################################################\n        #                             END OF YOUR CODE                             #\n        ############################################################################\n\n        # If test mode return early\n        if mode == \"test\":\n            return scores\n\n        loss, grads = 0.0, {}\n        ############################################################################\n        # TODO: Implement the backward pass for the fully-connected net. Store the #\n        # loss in the loss variable and gradients in the grads dictionary. Compute #\n        # data loss using softmax, and make sure that grads[k] holds the gradients #\n        # for self.params[k]. Don't forget to add L2 regularization!               #\n        #                                                                          #\n        # When using batch/layer normalization, you don't need to regularize the scale   #\n        # and shift parameters.                                                    #\n        #                                                                          #\n        # NOTE: To ensure that your implementation matches ours and you pass the   #\n        # automated tests, make sure that your L2 regularization includes a factor #\n        # of 0.5 to simplify the expression for the gradient.                      #\n        ############################################################################\n        # *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n\n        loss, d_scores = softmax_loss(scores, y)\n        loss += 0.5 * self.reg * reg_weights\n\n        d_layer = None\n\n        for layer_idx in range(self.num_layers-1, -1, -1):\n          weights_name = 'W' + str(layer_idx+1)\n          biases_name = 'b' + str(layer_idx+1)\n\n          if layer_idx == self.num_layers-1:\n            d_layer, d_W, d_b = affine_backward(d_scores, cache_layers[layer_idx])\n          else:\n            if self.use_dropout:\n              d_layer = dropout_backward(d_layer, dp_cache_layers[layer_idx])\n\n            if self.normalization:\n              d_layer, d_W, d_b, d_gamma, d_beta = affine_norm_relu_backward(d_layer,\n                                                    cache_layers[layer_idx],\n                                                    self.normalization)\n              grads['gamma' + str(layer_idx+1)] = d_gamma\n              grads['beta' + str(layer_idx+1)] = d_beta\n\n            else:\n              d_layer, d_W, d_b = affine_relu_backward(d_layer, cache_layers[layer_idx])\n\n          grads[weights_name] = d_W + self.reg * self.params[weights_name]\n          grads[biases_name] = d_b\n\n        # *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n        ############################################################################\n        #                             END OF YOUR CODE                             #\n        ############################################################################\n\n        return loss, grads\n"
  },
  {
    "path": "cs231n/assignment2/cs231n/data_utils.py",
    "content": "from __future__ import print_function\n\nfrom builtins import range\nfrom six.moves import cPickle as pickle\nimport numpy as np\nimport os\nfrom imageio import imread\nimport platform\n\n\ndef load_pickle(f):\n    version = platform.python_version_tuple()\n    if version[0] == \"2\":\n        return pickle.load(f)\n    elif version[0] == \"3\":\n        return pickle.load(f, encoding=\"latin1\")\n    raise ValueError(\"invalid python version: {}\".format(version))\n\n\ndef load_CIFAR_batch(filename):\n    \"\"\" load single batch of cifar \"\"\"\n    with open(filename, \"rb\") as f:\n        datadict = load_pickle(f)\n        X = datadict[\"data\"]\n        Y = datadict[\"labels\"]\n        X = X.reshape(10000, 3, 32, 32).transpose(0, 2, 3, 1).astype(\"float\")\n        Y = np.array(Y)\n        return X, Y\n\n\ndef load_CIFAR10(ROOT):\n    \"\"\" load all of cifar \"\"\"\n    xs = []\n    ys = []\n    for b in range(1, 6):\n        f = os.path.join(ROOT, \"data_batch_%d\" % (b,))\n        X, Y = load_CIFAR_batch(f)\n        xs.append(X)\n        ys.append(Y)\n    Xtr = np.concatenate(xs)\n    Ytr = np.concatenate(ys)\n    del X, Y\n    Xte, Yte = load_CIFAR_batch(os.path.join(ROOT, \"test_batch\"))\n    return Xtr, Ytr, Xte, Yte\n\n\ndef get_CIFAR10_data(\n    num_training=49000, num_validation=1000, num_test=1000, subtract_mean=True\n):\n    \"\"\"\n    Load the CIFAR-10 dataset from disk and perform preprocessing to prepare\n    it for classifiers. These are the same steps as we used for the SVM, but\n    condensed to a single function.\n    \"\"\"\n    # Load the raw CIFAR-10 data\n    cifar10_dir = os.path.join(\n        os.path.dirname(__file__), \"datasets/cifar-10-batches-py\"\n    )\n    X_train, y_train, X_test, y_test = load_CIFAR10(cifar10_dir)\n\n    # Subsample the data\n    mask = list(range(num_training, num_training + num_validation))\n    X_val = X_train[mask]\n    y_val = y_train[mask]\n    mask = list(range(num_training))\n    X_train = X_train[mask]\n    y_train = y_train[mask]\n    mask = list(range(num_test))\n    X_test = X_test[mask]\n    y_test = y_test[mask]\n\n    # Normalize the data: subtract the mean image\n    if subtract_mean:\n        mean_image = np.mean(X_train, axis=0)\n        X_train -= mean_image\n        X_val -= mean_image\n        X_test -= mean_image\n\n    # Transpose so that channels come first\n    X_train = X_train.transpose(0, 3, 1, 2).copy()\n    X_val = X_val.transpose(0, 3, 1, 2).copy()\n    X_test = X_test.transpose(0, 3, 1, 2).copy()\n\n    # Package data into a dictionary\n    return {\n        \"X_train\": X_train,\n        \"y_train\": y_train,\n        \"X_val\": X_val,\n        \"y_val\": y_val,\n        \"X_test\": X_test,\n        \"y_test\": y_test,\n    }\n\n\ndef load_tiny_imagenet(path, dtype=np.float32, subtract_mean=True):\n    \"\"\"\n    Load TinyImageNet. Each of TinyImageNet-100-A, TinyImageNet-100-B, and\n    TinyImageNet-200 have the same directory structure, so this can be used\n    to load any of them.\n\n    Inputs:\n    - path: String giving path to the directory to load.\n    - dtype: numpy datatype used to load the data.\n    - subtract_mean: Whether to subtract the mean training image.\n\n    Returns: A dictionary with the following entries:\n    - class_names: A list where class_names[i] is a list of strings giving the\n      WordNet names for class i in the loaded dataset.\n    - X_train: (N_tr, 3, 64, 64) array of training images\n    - y_train: (N_tr,) array of training labels\n    - X_val: (N_val, 3, 64, 64) array of validation images\n    - y_val: (N_val,) array of validation labels\n    - X_test: (N_test, 3, 64, 64) array of testing images.\n    - y_test: (N_test,) array of test labels; if test labels are not available\n      (such as in student code) then y_test will be None.\n    - mean_image: (3, 64, 64) array giving mean training image\n    \"\"\"\n    # First load wnids\n    with open(os.path.join(path, \"wnids.txt\"), \"r\") as f:\n        wnids = [x.strip() for x in f]\n\n    # Map wnids to integer labels\n    wnid_to_label = {wnid: i for i, wnid in enumerate(wnids)}\n\n    # Use words.txt to get names for each class\n    with open(os.path.join(path, \"words.txt\"), \"r\") as f:\n        wnid_to_words = dict(line.split(\"\\t\") for line in f)\n        for wnid, words in wnid_to_words.items():\n            wnid_to_words[wnid] = [w.strip() for w in words.split(\",\")]\n    class_names = [wnid_to_words[wnid] for wnid in wnids]\n\n    # Next load training data.\n    X_train = []\n    y_train = []\n    for i, wnid in enumerate(wnids):\n        if (i + 1) % 20 == 0:\n            print(\"loading training data for synset %d / %d\" % (i + 1, len(wnids)))\n        # To figure out the filenames we need to open the boxes file\n        boxes_file = os.path.join(path, \"train\", wnid, \"%s_boxes.txt\" % wnid)\n        with open(boxes_file, \"r\") as f:\n            filenames = [x.split(\"\\t\")[0] for x in f]\n        num_images = len(filenames)\n\n        X_train_block = np.zeros((num_images, 3, 64, 64), dtype=dtype)\n        y_train_block = wnid_to_label[wnid] * np.ones(num_images, dtype=np.int64)\n        for j, img_file in enumerate(filenames):\n            img_file = os.path.join(path, \"train\", wnid, \"images\", img_file)\n            img = imread(img_file)\n            if img.ndim == 2:\n                ## grayscale file\n                img.shape = (64, 64, 1)\n            X_train_block[j] = img.transpose(2, 0, 1)\n        X_train.append(X_train_block)\n        y_train.append(y_train_block)\n\n    # We need to concatenate all training data\n    X_train = np.concatenate(X_train, axis=0)\n    y_train = np.concatenate(y_train, axis=0)\n\n    # Next load validation data\n    with open(os.path.join(path, \"val\", \"val_annotations.txt\"), \"r\") as f:\n        img_files = []\n        val_wnids = []\n        for line in f:\n            img_file, wnid = line.split(\"\\t\")[:2]\n            img_files.append(img_file)\n            val_wnids.append(wnid)\n        num_val = len(img_files)\n        y_val = np.array([wnid_to_label[wnid] for wnid in val_wnids])\n        X_val = np.zeros((num_val, 3, 64, 64), dtype=dtype)\n        for i, img_file in enumerate(img_files):\n            img_file = os.path.join(path, \"val\", \"images\", img_file)\n            img = imread(img_file)\n            if img.ndim == 2:\n                img.shape = (64, 64, 1)\n            X_val[i] = img.transpose(2, 0, 1)\n\n    # Next load test images\n    # Students won't have test labels, so we need to iterate over files in the\n    # images directory.\n    img_files = os.listdir(os.path.join(path, \"test\", \"images\"))\n    X_test = np.zeros((len(img_files), 3, 64, 64), dtype=dtype)\n    for i, img_file in enumerate(img_files):\n        img_file = os.path.join(path, \"test\", \"images\", img_file)\n        img = imread(img_file)\n        if img.ndim == 2:\n            img.shape = (64, 64, 1)\n        X_test[i] = img.transpose(2, 0, 1)\n\n    y_test = None\n    y_test_file = os.path.join(path, \"test\", \"test_annotations.txt\")\n    if os.path.isfile(y_test_file):\n        with open(y_test_file, \"r\") as f:\n            img_file_to_wnid = {}\n            for line in f:\n                line = line.split(\"\\t\")\n                img_file_to_wnid[line[0]] = line[1]\n        y_test = [wnid_to_label[img_file_to_wnid[img_file]] for img_file in img_files]\n        y_test = np.array(y_test)\n\n    mean_image = X_train.mean(axis=0)\n    if subtract_mean:\n        X_train -= mean_image[None]\n        X_val -= mean_image[None]\n        X_test -= mean_image[None]\n\n    return {\n        \"class_names\": class_names,\n        \"X_train\": X_train,\n        \"y_train\": y_train,\n        \"X_val\": X_val,\n        \"y_val\": y_val,\n        \"X_test\": X_test,\n        \"y_test\": y_test,\n        \"class_names\": class_names,\n        \"mean_image\": mean_image,\n    }\n\n\ndef load_models(models_dir):\n    \"\"\"\n    Load saved models from disk. This will attempt to unpickle all files in a\n    directory; any files that give errors on unpickling (such as README.txt)\n    will be skipped.\n\n    Inputs:\n    - models_dir: String giving the path to a directory containing model files.\n      Each model file is a pickled dictionary with a 'model' field.\n\n    Returns:\n    A dictionary mapping model file names to models.\n    \"\"\"\n    models = {}\n    for model_file in os.listdir(models_dir):\n        with open(os.path.join(models_dir, model_file), \"rb\") as f:\n            try:\n                models[model_file] = load_pickle(f)[\"model\"]\n            except pickle.UnpicklingError:\n                continue\n    return models\n\n\ndef load_imagenet_val(num=None):\n    \"\"\"Load a handful of validation images from ImageNet.\n\n    Inputs:\n    - num: Number of images to load (max of 25)\n\n    Returns:\n    - X: numpy array with shape [num, 224, 224, 3]\n    - y: numpy array of integer image labels, shape [num]\n    - class_names: dict mapping integer label to class name\n    \"\"\"\n    imagenet_fn = os.path.join(\n        os.path.dirname(__file__), \"datasets/imagenet_val_25.npz\"\n    )\n    if not os.path.isfile(imagenet_fn):\n        print(\"file %s not found\" % imagenet_fn)\n        print(\"Run the following:\")\n        print(\"cd cs231n/datasets\")\n        print(\"bash get_imagenet_val.sh\")\n        assert False, \"Need to download imagenet_val_25.npz\"\n    f = np.load(imagenet_fn)\n    X = f[\"X\"]\n    y = f[\"y\"]\n    class_names = f[\"label_map\"].item()\n    if num is not None:\n        X = X[:num]\n        y = y[:num]\n    return X, y, class_names\n"
  },
  {
    "path": "cs231n/assignment2/cs231n/datasets/get_datasets.sh",
    "content": "if [ ! -d \"cifar-10-batches-py\" ]; then\n  wget http://www.cs.toronto.edu/~kriz/cifar-10-python.tar.gz -O cifar-10-python.tar.gz\n  tar -xzvf cifar-10-python.tar.gz\n  rm cifar-10-python.tar.gz\nfi\n"
  },
  {
    "path": "cs231n/assignment2/cs231n/fast_layers.py",
    "content": "from __future__ import print_function\nimport numpy as np\n\ntry:\n    from .im2col_cython import col2im_cython, im2col_cython\n    from .im2col_cython import col2im_6d_cython\nexcept ImportError:\n    print(\"\"\"=========== You can safely ignore the message below if you are NOT working on ConvolutionalNetworks.ipynb ===========\"\"\")\n    print(\"\\tYou will need to compile a Cython extension for a portion of this assignment.\")\n    print(\"\\tThe instructions to do this will be given in a section of the notebook below.\")\n    print(\"\\tThere will be an option for Colab users and another for Jupyter (local) users.\")\n\nfrom .im2col import *\n\n\ndef conv_forward_im2col(x, w, b, conv_param):\n    \"\"\"\n    A fast implementation of the forward pass for a convolutional layer\n    based on im2col and col2im.\n    \"\"\"\n    N, C, H, W = x.shape\n    num_filters, _, filter_height, filter_width = w.shape\n    stride, pad = conv_param[\"stride\"], conv_param[\"pad\"]\n\n    # Check dimensions\n    assert (W + 2 * pad - filter_width) % stride == 0, \"width does not work\"\n    assert (H + 2 * pad - filter_height) % stride == 0, \"height does not work\"\n\n    # Create output\n    out_height = (H + 2 * pad - filter_height) // stride + 1\n    out_width = (W + 2 * pad - filter_width) // stride + 1\n    out = np.zeros((N, num_filters, out_height, out_width), dtype=x.dtype)\n\n    # x_cols = im2col_indices(x, w.shape[2], w.shape[3], pad, stride)\n    x_cols = im2col_cython(x, w.shape[2], w.shape[3], pad, stride)\n    res = w.reshape((w.shape[0], -1)).dot(x_cols) + b.reshape(-1, 1)\n\n    out = res.reshape(w.shape[0], out.shape[2], out.shape[3], x.shape[0])\n    out = out.transpose(3, 0, 1, 2)\n\n    cache = (x, w, b, conv_param, x_cols)\n    return out, cache\n\n\ndef conv_forward_strides(x, w, b, conv_param):\n    N, C, H, W = x.shape\n    F, _, HH, WW = w.shape\n    stride, pad = conv_param[\"stride\"], conv_param[\"pad\"]\n\n    # Check dimensions\n    # assert (W + 2 * pad - WW) % stride == 0, 'width does not work'\n    # assert (H + 2 * pad - HH) % stride == 0, 'height does not work'\n\n    # Pad the input\n    p = pad\n    x_padded = np.pad(x, ((0, 0), (0, 0), (p, p), (p, p)), mode=\"constant\")\n\n    # Figure out output dimensions\n    H += 2 * pad\n    W += 2 * pad\n    out_h = (H - HH) // stride + 1\n    out_w = (W - WW) // stride + 1\n\n    # Perform an im2col operation by picking clever strides\n    shape = (C, HH, WW, N, out_h, out_w)\n    strides = (H * W, W, 1, C * H * W, stride * W, stride)\n    strides = x.itemsize * np.array(strides)\n    x_stride = np.lib.stride_tricks.as_strided(x_padded, shape=shape, strides=strides)\n    x_cols = np.ascontiguousarray(x_stride)\n    x_cols.shape = (C * HH * WW, N * out_h * out_w)\n\n    # Now all our convolutions are a big matrix multiply\n    res = w.reshape(F, -1).dot(x_cols) + b.reshape(-1, 1)\n\n    # Reshape the output\n    res.shape = (F, N, out_h, out_w)\n    out = res.transpose(1, 0, 2, 3)\n\n    # Be nice and return a contiguous array\n    # The old version of conv_forward_fast doesn't do this, so for a fair\n    # comparison we won't either\n    out = np.ascontiguousarray(out)\n\n    cache = (x, w, b, conv_param, x_cols)\n    return out, cache\n\n\ndef conv_backward_strides(dout, cache):\n    x, w, b, conv_param, x_cols = cache\n    stride, pad = conv_param[\"stride\"], conv_param[\"pad\"]\n\n    N, C, H, W = x.shape\n    F, _, HH, WW = w.shape\n    _, _, out_h, out_w = dout.shape\n\n    db = np.sum(dout, axis=(0, 2, 3))\n\n    dout_reshaped = dout.transpose(1, 0, 2, 3).reshape(F, -1)\n    dw = dout_reshaped.dot(x_cols.T).reshape(w.shape)\n\n    dx_cols = w.reshape(F, -1).T.dot(dout_reshaped)\n    dx_cols.shape = (C, HH, WW, N, out_h, out_w)\n    dx = col2im_6d_cython(dx_cols, N, C, H, W, HH, WW, pad, stride)\n\n    return dx, dw, db\n\n\ndef conv_backward_im2col(dout, cache):\n    \"\"\"\n    A fast implementation of the backward pass for a convolutional layer\n    based on im2col and col2im.\n    \"\"\"\n    x, w, b, conv_param, x_cols = cache\n    stride, pad = conv_param[\"stride\"], conv_param[\"pad\"]\n\n    db = np.sum(dout, axis=(0, 2, 3))\n\n    num_filters, _, filter_height, filter_width = w.shape\n    dout_reshaped = dout.transpose(1, 2, 3, 0).reshape(num_filters, -1)\n    dw = dout_reshaped.dot(x_cols.T).reshape(w.shape)\n\n    dx_cols = w.reshape(num_filters, -1).T.dot(dout_reshaped)\n    # dx = col2im_indices(dx_cols, x.shape, filter_height, filter_width, pad, stride)\n    dx = col2im_cython(\n        dx_cols,\n        x.shape[0],\n        x.shape[1],\n        x.shape[2],\n        x.shape[3],\n        filter_height,\n        filter_width,\n        pad,\n        stride,\n    )\n\n    return dx, dw, db\n\n\nconv_forward_fast = conv_forward_strides\nconv_backward_fast = conv_backward_strides\n\n\ndef max_pool_forward_fast(x, pool_param):\n    \"\"\"\n    A fast implementation of the forward pass for a max pooling layer.\n\n    This chooses between the reshape method and the im2col method. If the pooling\n    regions are square and tile the input image, then we can use the reshape\n    method which is very fast. Otherwise we fall back on the im2col method, which\n    is not much faster than the naive method.\n    \"\"\"\n    N, C, H, W = x.shape\n    pool_height, pool_width = pool_param[\"pool_height\"], pool_param[\"pool_width\"]\n    stride = pool_param[\"stride\"]\n\n    same_size = pool_height == pool_width == stride\n    tiles = H % pool_height == 0 and W % pool_width == 0\n    if same_size and tiles:\n        out, reshape_cache = max_pool_forward_reshape(x, pool_param)\n        cache = (\"reshape\", reshape_cache)\n    else:\n        out, im2col_cache = max_pool_forward_im2col(x, pool_param)\n        cache = (\"im2col\", im2col_cache)\n    return out, cache\n\n\ndef max_pool_backward_fast(dout, cache):\n    \"\"\"\n    A fast implementation of the backward pass for a max pooling layer.\n\n    This switches between the reshape method an the im2col method depending on\n    which method was used to generate the cache.\n    \"\"\"\n    method, real_cache = cache\n    if method == \"reshape\":\n        return max_pool_backward_reshape(dout, real_cache)\n    elif method == \"im2col\":\n        return max_pool_backward_im2col(dout, real_cache)\n    else:\n        raise ValueError('Unrecognized method \"%s\"' % method)\n\n\ndef max_pool_forward_reshape(x, pool_param):\n    \"\"\"\n    A fast implementation of the forward pass for the max pooling layer that uses\n    some clever reshaping.\n\n    This can only be used for square pooling regions that tile the input.\n    \"\"\"\n    N, C, H, W = x.shape\n    pool_height, pool_width = pool_param[\"pool_height\"], pool_param[\"pool_width\"]\n    stride = pool_param[\"stride\"]\n    assert pool_height == pool_width == stride, \"Invalid pool params\"\n    assert H % pool_height == 0\n    assert W % pool_height == 0\n    x_reshaped = x.reshape(\n        N, C, H // pool_height, pool_height, W // pool_width, pool_width\n    )\n    out = x_reshaped.max(axis=3).max(axis=4)\n\n    cache = (x, x_reshaped, out)\n    return out, cache\n\n\ndef max_pool_backward_reshape(dout, cache):\n    \"\"\"\n    A fast implementation of the backward pass for the max pooling layer that\n    uses some clever broadcasting and reshaping.\n\n    This can only be used if the forward pass was computed using\n    max_pool_forward_reshape.\n\n    NOTE: If there are multiple argmaxes, this method will assign gradient to\n    ALL argmax elements of the input rather than picking one. In this case the\n    gradient will actually be incorrect. However this is unlikely to occur in\n    practice, so it shouldn't matter much. One possible solution is to split the\n    upstream gradient equally among all argmax elements; this should result in a\n    valid subgradient. You can make this happen by uncommenting the line below;\n    however this results in a significant performance penalty (about 40% slower)\n    and is unlikely to matter in practice so we don't do it.\n    \"\"\"\n    x, x_reshaped, out = cache\n\n    dx_reshaped = np.zeros_like(x_reshaped)\n    out_newaxis = out[:, :, :, np.newaxis, :, np.newaxis]\n    mask = x_reshaped == out_newaxis\n    dout_newaxis = dout[:, :, :, np.newaxis, :, np.newaxis]\n    dout_broadcast, _ = np.broadcast_arrays(dout_newaxis, dx_reshaped)\n    dx_reshaped[mask] = dout_broadcast[mask]\n    dx_reshaped /= np.sum(mask, axis=(3, 5), keepdims=True)\n    dx = dx_reshaped.reshape(x.shape)\n\n    return dx\n\n\ndef max_pool_forward_im2col(x, pool_param):\n    \"\"\"\n    An implementation of the forward pass for max pooling based on im2col.\n\n    This isn't much faster than the naive version, so it should be avoided if\n    possible.\n    \"\"\"\n    N, C, H, W = x.shape\n    pool_height, pool_width = pool_param[\"pool_height\"], pool_param[\"pool_width\"]\n    stride = pool_param[\"stride\"]\n\n    assert (H - pool_height) % stride == 0, \"Invalid height\"\n    assert (W - pool_width) % stride == 0, \"Invalid width\"\n\n    out_height = (H - pool_height) // stride + 1\n    out_width = (W - pool_width) // stride + 1\n\n    x_split = x.reshape(N * C, 1, H, W)\n    x_cols = im2col(x_split, pool_height, pool_width, padding=0, stride=stride)\n    x_cols_argmax = np.argmax(x_cols, axis=0)\n    x_cols_max = x_cols[x_cols_argmax, np.arange(x_cols.shape[1])]\n    out = x_cols_max.reshape(out_height, out_width, N, C).transpose(2, 3, 0, 1)\n\n    cache = (x, x_cols, x_cols_argmax, pool_param)\n    return out, cache\n\n\ndef max_pool_backward_im2col(dout, cache):\n    \"\"\"\n    An implementation of the backward pass for max pooling based on im2col.\n\n    This isn't much faster than the naive version, so it should be avoided if\n    possible.\n    \"\"\"\n    x, x_cols, x_cols_argmax, pool_param = cache\n    N, C, H, W = x.shape\n    pool_height, pool_width = pool_param[\"pool_height\"], pool_param[\"pool_width\"]\n    stride = pool_param[\"stride\"]\n\n    dout_reshaped = dout.transpose(2, 3, 0, 1).flatten()\n    dx_cols = np.zeros_like(x_cols)\n    dx_cols[x_cols_argmax, np.arange(dx_cols.shape[1])] = dout_reshaped\n    dx = col2im_indices(\n        dx_cols, (N * C, 1, H, W), pool_height, pool_width, padding=0, stride=stride\n    )\n    dx = dx.reshape(x.shape)\n\n    return dx\n"
  },
  {
    "path": "cs231n/assignment2/cs231n/gradient_check.py",
    "content": "from __future__ import print_function\nfrom builtins import range\nfrom past.builtins import xrange\n\nimport numpy as np\nfrom random import randrange\n\n\ndef eval_numerical_gradient(f, x, verbose=True, h=0.00001):\n    \"\"\"\n    a naive implementation of numerical gradient of f at x\n    - f should be a function that takes a single argument\n    - x is the point (numpy array) to evaluate the gradient at\n    \"\"\"\n\n    fx = f(x)  # evaluate function value at original point\n    grad = np.zeros_like(x)\n    # iterate over all indexes in x\n    it = np.nditer(x, flags=[\"multi_index\"], op_flags=[\"readwrite\"])\n    while not it.finished:\n\n        # evaluate function at x+h\n        ix = it.multi_index\n        oldval = x[ix]\n        x[ix] = oldval + h  # increment by h\n        fxph = f(x)  # evalute f(x + h)\n        x[ix] = oldval - h\n        fxmh = f(x)  # evaluate f(x - h)\n        x[ix] = oldval  # restore\n\n        # compute the partial derivative with centered formula\n        grad[ix] = (fxph - fxmh) / (2 * h)  # the slope\n        if verbose:\n            print(ix, grad[ix])\n        it.iternext()  # step to next dimension\n\n    return grad\n\n\ndef eval_numerical_gradient_array(f, x, df, h=1e-5):\n    \"\"\"\n    Evaluate a numeric gradient for a function that accepts a numpy\n    array and returns a numpy array.\n    \"\"\"\n    grad = np.zeros_like(x)\n    it = np.nditer(x, flags=[\"multi_index\"], op_flags=[\"readwrite\"])\n    while not it.finished:\n        ix = it.multi_index\n\n        oldval = x[ix]\n        x[ix] = oldval + h\n        pos = f(x).copy()\n        x[ix] = oldval - h\n        neg = f(x).copy()\n        x[ix] = oldval\n\n        grad[ix] = np.sum((pos - neg) * df) / (2 * h)\n        it.iternext()\n    return grad\n\n\ndef eval_numerical_gradient_blobs(f, inputs, output, h=1e-5):\n    \"\"\"\n    Compute numeric gradients for a function that operates on input\n    and output blobs.\n\n    We assume that f accepts several input blobs as arguments, followed by a\n    blob where outputs will be written. For example, f might be called like:\n\n    f(x, w, out)\n\n    where x and w are input Blobs, and the result of f will be written to out.\n\n    Inputs:\n    - f: function\n    - inputs: tuple of input blobs\n    - output: output blob\n    - h: step size\n    \"\"\"\n    numeric_diffs = []\n    for input_blob in inputs:\n        diff = np.zeros_like(input_blob.diffs)\n        it = np.nditer(input_blob.vals, flags=[\"multi_index\"], op_flags=[\"readwrite\"])\n        while not it.finished:\n            idx = it.multi_index\n            orig = input_blob.vals[idx]\n\n            input_blob.vals[idx] = orig + h\n            f(*(inputs + (output,)))\n            pos = np.copy(output.vals)\n            input_blob.vals[idx] = orig - h\n            f(*(inputs + (output,)))\n            neg = np.copy(output.vals)\n            input_blob.vals[idx] = orig\n\n            diff[idx] = np.sum((pos - neg) * output.diffs) / (2.0 * h)\n\n            it.iternext()\n        numeric_diffs.append(diff)\n    return numeric_diffs\n\n\ndef eval_numerical_gradient_net(net, inputs, output, h=1e-5):\n    return eval_numerical_gradient_blobs(\n        lambda *args: net.forward(), inputs, output, h=h\n    )\n\n\ndef grad_check_sparse(f, x, analytic_grad, num_checks=10, h=1e-5):\n    \"\"\"\n    sample a few random elements and only return numerical\n    in this dimensions.\n    \"\"\"\n\n    for i in range(num_checks):\n        ix = tuple([randrange(m) for m in x.shape])\n\n        oldval = x[ix]\n        x[ix] = oldval + h  # increment by h\n        fxph = f(x)  # evaluate f(x + h)\n        x[ix] = oldval - h  # increment by h\n        fxmh = f(x)  # evaluate f(x - h)\n        x[ix] = oldval  # reset\n\n        grad_numerical = (fxph - fxmh) / (2 * h)\n        grad_analytic = analytic_grad[ix]\n        rel_error = abs(grad_numerical - grad_analytic) / (\n            abs(grad_numerical) + abs(grad_analytic)\n        )\n        print(\n            \"numerical: %f analytic: %f, relative error: %e\"\n            % (grad_numerical, grad_analytic, rel_error)\n        )\n"
  },
  {
    "path": "cs231n/assignment2/cs231n/im2col.py",
    "content": "from builtins import range\nimport numpy as np\n\n\ndef get_im2col_indices(x_shape, field_height, field_width, padding=1, stride=1):\n    # First figure out what the size of the output should be\n    N, C, H, W = x_shape\n    assert (H + 2 * padding - field_height) % stride == 0\n    assert (W + 2 * padding - field_height) % stride == 0\n    out_height = (H + 2 * padding - field_height) / stride + 1\n    out_width = (W + 2 * padding - field_width) / stride + 1\n\n    i0 = np.repeat(np.arange(field_height), field_width)\n    i0 = np.tile(i0, C)\n    i1 = stride * np.repeat(np.arange(out_height), out_width)\n    j0 = np.tile(np.arange(field_width), field_height * C)\n    j1 = stride * np.tile(np.arange(out_width), out_height)\n    i = i0.reshape(-1, 1) + i1.reshape(1, -1)\n    j = j0.reshape(-1, 1) + j1.reshape(1, -1)\n\n    k = np.repeat(np.arange(C), field_height * field_width).reshape(-1, 1)\n\n    return (k, i, j)\n\n\ndef im2col_indices(x, field_height, field_width, padding=1, stride=1):\n    \"\"\" An implementation of im2col based on some fancy indexing \"\"\"\n    # Zero-pad the input\n    p = padding\n    x_padded = np.pad(x, ((0, 0), (0, 0), (p, p), (p, p)), mode=\"constant\")\n\n    k, i, j = get_im2col_indices(x.shape, field_height, field_width, padding, stride)\n\n    cols = x_padded[:, k, i, j]\n    C = x.shape[1]\n    cols = cols.transpose(1, 2, 0).reshape(field_height * field_width * C, -1)\n    return cols\n\n\ndef col2im_indices(cols, x_shape, field_height=3, field_width=3, padding=1, stride=1):\n    \"\"\" An implementation of col2im based on fancy indexing and np.add.at \"\"\"\n    N, C, H, W = x_shape\n    H_padded, W_padded = H + 2 * padding, W + 2 * padding\n    x_padded = np.zeros((N, C, H_padded, W_padded), dtype=cols.dtype)\n    k, i, j = get_im2col_indices(x_shape, field_height, field_width, padding, stride)\n    cols_reshaped = cols.reshape(C * field_height * field_width, -1, N)\n    cols_reshaped = cols_reshaped.transpose(2, 0, 1)\n    np.add.at(x_padded, (slice(None), k, i, j), cols_reshaped)\n    if padding == 0:\n        return x_padded\n    return x_padded[:, :, padding:-padding, padding:-padding]\n\n\n# *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n\npass\n\n# *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n"
  },
  {
    "path": "cs231n/assignment2/cs231n/im2col_cython.c",
    "content": "/* Generated by Cython 0.29.21 */\n\n/* BEGIN: Cython Metadata\n{\n    \"distutils\": {\n        \"depends\": [\n            \"/usr/local/lib/python3.6/dist-packages/numpy/core/include/numpy/arrayobject.h\",\n            \"/usr/local/lib/python3.6/dist-packages/numpy/core/include/numpy/ufuncobject.h\"\n        ],\n        \"include_dirs\": [\n            \"/usr/local/lib/python3.6/dist-packages/numpy/core/include\"\n        ],\n        \"name\": \"im2col_cython\",\n        \"sources\": [\n            \"im2col_cython.pyx\"\n        ]\n    },\n    \"module_name\": \"im2col_cython\"\n}\nEND: Cython Metadata */\n\n#define PY_SSIZE_T_CLEAN\n#include \"Python.h\"\n#ifndef Py_PYTHON_H\n    #error Python headers needed to compile C extensions, please install development version of Python.\n#elif PY_VERSION_HEX < 0x02060000 || (0x03000000 <= PY_VERSION_HEX && PY_VERSION_HEX < 0x03030000)\n    #error Cython requires Python 2.6+ or Python 3.3+.\n#else\n#define CYTHON_ABI \"0_29_21\"\n#define CYTHON_HEX_VERSION 0x001D15F0\n#define CYTHON_FUTURE_DIVISION 0\n#include <stddef.h>\n#ifndef offsetof\n  #define offsetof(type, member) ( (size_t) & ((type*)0) -> member )\n#endif\n#if !defined(WIN32) && !defined(MS_WINDOWS)\n  #ifndef __stdcall\n    #define __stdcall\n  #endif\n  #ifndef __cdecl\n    #define __cdecl\n  #endif\n  #ifndef __fastcall\n    #define __fastcall\n  #endif\n#endif\n#ifndef DL_IMPORT\n  #define DL_IMPORT(t) t\n#endif\n#ifndef DL_EXPORT\n  #define DL_EXPORT(t) t\n#endif\n#define __PYX_COMMA ,\n#ifndef HAVE_LONG_LONG\n  #if PY_VERSION_HEX >= 0x02070000\n    #define HAVE_LONG_LONG\n  #endif\n#endif\n#ifndef PY_LONG_LONG\n  #define PY_LONG_LONG LONG_LONG\n#endif\n#ifndef Py_HUGE_VAL\n  #define Py_HUGE_VAL HUGE_VAL\n#endif\n#ifdef PYPY_VERSION\n  #define CYTHON_COMPILING_IN_PYPY 1\n  #define CYTHON_COMPILING_IN_PYSTON 0\n  #define CYTHON_COMPILING_IN_CPYTHON 0\n  #undef CYTHON_USE_TYPE_SLOTS\n  #define CYTHON_USE_TYPE_SLOTS 0\n  #undef CYTHON_USE_PYTYPE_LOOKUP\n  #define CYTHON_USE_PYTYPE_LOOKUP 0\n  #if PY_VERSION_HEX < 0x03050000\n    #undef CYTHON_USE_ASYNC_SLOTS\n    #define CYTHON_USE_ASYNC_SLOTS 0\n  #elif !defined(CYTHON_USE_ASYNC_SLOTS)\n    #define CYTHON_USE_ASYNC_SLOTS 1\n  #endif\n  #undef CYTHON_USE_PYLIST_INTERNALS\n  #define CYTHON_USE_PYLIST_INTERNALS 0\n  #undef CYTHON_USE_UNICODE_INTERNALS\n  #define CYTHON_USE_UNICODE_INTERNALS 0\n  #undef CYTHON_USE_UNICODE_WRITER\n  #define CYTHON_USE_UNICODE_WRITER 0\n  #undef CYTHON_USE_PYLONG_INTERNALS\n  #define CYTHON_USE_PYLONG_INTERNALS 0\n  #undef CYTHON_AVOID_BORROWED_REFS\n  #define CYTHON_AVOID_BORROWED_REFS 1\n  #undef CYTHON_ASSUME_SAFE_MACROS\n  #define CYTHON_ASSUME_SAFE_MACROS 0\n  #undef CYTHON_UNPACK_METHODS\n  #define CYTHON_UNPACK_METHODS 0\n  #undef CYTHON_FAST_THREAD_STATE\n  #define CYTHON_FAST_THREAD_STATE 0\n  #undef CYTHON_FAST_PYCALL\n  #define CYTHON_FAST_PYCALL 0\n  #undef CYTHON_PEP489_MULTI_PHASE_INIT\n  #define CYTHON_PEP489_MULTI_PHASE_INIT 0\n  #undef CYTHON_USE_TP_FINALIZE\n  #define CYTHON_USE_TP_FINALIZE 0\n  #undef CYTHON_USE_DICT_VERSIONS\n  #define CYTHON_USE_DICT_VERSIONS 0\n  #undef CYTHON_USE_EXC_INFO_STACK\n  #define CYTHON_USE_EXC_INFO_STACK 0\n#elif defined(PYSTON_VERSION)\n  #define CYTHON_COMPILING_IN_PYPY 0\n  #define CYTHON_COMPILING_IN_PYSTON 1\n  #define CYTHON_COMPILING_IN_CPYTHON 0\n  #ifndef CYTHON_USE_TYPE_SLOTS\n    #define CYTHON_USE_TYPE_SLOTS 1\n  #endif\n  #undef CYTHON_USE_PYTYPE_LOOKUP\n  #define CYTHON_USE_PYTYPE_LOOKUP 0\n  #undef CYTHON_USE_ASYNC_SLOTS\n  #define CYTHON_USE_ASYNC_SLOTS 0\n  #undef CYTHON_USE_PYLIST_INTERNALS\n  #define CYTHON_USE_PYLIST_INTERNALS 0\n  #ifndef CYTHON_USE_UNICODE_INTERNALS\n    #define CYTHON_USE_UNICODE_INTERNALS 1\n  #endif\n  #undef CYTHON_USE_UNICODE_WRITER\n  #define CYTHON_USE_UNICODE_WRITER 0\n  #undef CYTHON_USE_PYLONG_INTERNALS\n  #define CYTHON_USE_PYLONG_INTERNALS 0\n  #ifndef CYTHON_AVOID_BORROWED_REFS\n    #define CYTHON_AVOID_BORROWED_REFS 0\n  #endif\n  #ifndef CYTHON_ASSUME_SAFE_MACROS\n    #define CYTHON_ASSUME_SAFE_MACROS 1\n  #endif\n  #ifndef CYTHON_UNPACK_METHODS\n    #define CYTHON_UNPACK_METHODS 1\n  #endif\n  #undef CYTHON_FAST_THREAD_STATE\n  #define CYTHON_FAST_THREAD_STATE 0\n  #undef CYTHON_FAST_PYCALL\n  #define CYTHON_FAST_PYCALL 0\n  #undef CYTHON_PEP489_MULTI_PHASE_INIT\n  #define CYTHON_PEP489_MULTI_PHASE_INIT 0\n  #undef CYTHON_USE_TP_FINALIZE\n  #define CYTHON_USE_TP_FINALIZE 0\n  #undef CYTHON_USE_DICT_VERSIONS\n  #define CYTHON_USE_DICT_VERSIONS 0\n  #undef CYTHON_USE_EXC_INFO_STACK\n  #define CYTHON_USE_EXC_INFO_STACK 0\n#else\n  #define CYTHON_COMPILING_IN_PYPY 0\n  #define CYTHON_COMPILING_IN_PYSTON 0\n  #define CYTHON_COMPILING_IN_CPYTHON 1\n  #ifndef CYTHON_USE_TYPE_SLOTS\n    #define CYTHON_USE_TYPE_SLOTS 1\n  #endif\n  #if PY_VERSION_HEX < 0x02070000\n    #undef CYTHON_USE_PYTYPE_LOOKUP\n    #define CYTHON_USE_PYTYPE_LOOKUP 0\n  #elif !defined(CYTHON_USE_PYTYPE_LOOKUP)\n    #define CYTHON_USE_PYTYPE_LOOKUP 1\n  #endif\n  #if PY_MAJOR_VERSION < 3\n    #undef CYTHON_USE_ASYNC_SLOTS\n    #define CYTHON_USE_ASYNC_SLOTS 0\n  #elif !defined(CYTHON_USE_ASYNC_SLOTS)\n    #define CYTHON_USE_ASYNC_SLOTS 1\n  #endif\n  #if PY_VERSION_HEX < 0x02070000\n    #undef CYTHON_USE_PYLONG_INTERNALS\n    #define CYTHON_USE_PYLONG_INTERNALS 0\n  #elif !defined(CYTHON_USE_PYLONG_INTERNALS)\n    #define CYTHON_USE_PYLONG_INTERNALS 1\n  #endif\n  #ifndef CYTHON_USE_PYLIST_INTERNALS\n    #define CYTHON_USE_PYLIST_INTERNALS 1\n  #endif\n  #ifndef CYTHON_USE_UNICODE_INTERNALS\n    #define CYTHON_USE_UNICODE_INTERNALS 1\n  #endif\n  #if PY_VERSION_HEX < 0x030300F0\n    #undef CYTHON_USE_UNICODE_WRITER\n    #define CYTHON_USE_UNICODE_WRITER 0\n  #elif !defined(CYTHON_USE_UNICODE_WRITER)\n    #define CYTHON_USE_UNICODE_WRITER 1\n  #endif\n  #ifndef CYTHON_AVOID_BORROWED_REFS\n    #define CYTHON_AVOID_BORROWED_REFS 0\n  #endif\n  #ifndef CYTHON_ASSUME_SAFE_MACROS\n    #define CYTHON_ASSUME_SAFE_MACROS 1\n  #endif\n  #ifndef CYTHON_UNPACK_METHODS\n    #define CYTHON_UNPACK_METHODS 1\n  #endif\n  #ifndef CYTHON_FAST_THREAD_STATE\n    #define CYTHON_FAST_THREAD_STATE 1\n  #endif\n  #ifndef CYTHON_FAST_PYCALL\n    #define CYTHON_FAST_PYCALL 1\n  #endif\n  #ifndef CYTHON_PEP489_MULTI_PHASE_INIT\n    #define CYTHON_PEP489_MULTI_PHASE_INIT (PY_VERSION_HEX >= 0x03050000)\n  #endif\n  #ifndef CYTHON_USE_TP_FINALIZE\n    #define CYTHON_USE_TP_FINALIZE (PY_VERSION_HEX >= 0x030400a1)\n  #endif\n  #ifndef CYTHON_USE_DICT_VERSIONS\n    #define CYTHON_USE_DICT_VERSIONS (PY_VERSION_HEX >= 0x030600B1)\n  #endif\n  #ifndef CYTHON_USE_EXC_INFO_STACK\n    #define CYTHON_USE_EXC_INFO_STACK (PY_VERSION_HEX >= 0x030700A3)\n  #endif\n#endif\n#if !defined(CYTHON_FAST_PYCCALL)\n#define CYTHON_FAST_PYCCALL  (CYTHON_FAST_PYCALL && PY_VERSION_HEX >= 0x030600B1)\n#endif\n#if CYTHON_USE_PYLONG_INTERNALS\n  #include \"longintrepr.h\"\n  #undef SHIFT\n  #undef BASE\n  #undef MASK\n  #ifdef SIZEOF_VOID_P\n    enum { __pyx_check_sizeof_voidp = 1 / (int)(SIZEOF_VOID_P == sizeof(void*)) };\n  #endif\n#endif\n#ifndef __has_attribute\n  #define __has_attribute(x) 0\n#endif\n#ifndef __has_cpp_attribute\n  #define __has_cpp_attribute(x) 0\n#endif\n#ifndef CYTHON_RESTRICT\n  #if defined(__GNUC__)\n    #define CYTHON_RESTRICT __restrict__\n  #elif defined(_MSC_VER) && _MSC_VER >= 1400\n    #define CYTHON_RESTRICT __restrict\n  #elif defined (__STDC_VERSION__) && __STDC_VERSION__ >= 199901L\n    #define CYTHON_RESTRICT restrict\n  #else\n    #define CYTHON_RESTRICT\n  #endif\n#endif\n#ifndef CYTHON_UNUSED\n# if defined(__GNUC__)\n#   if !(defined(__cplusplus)) || (__GNUC__ > 3 || (__GNUC__ == 3 && __GNUC_MINOR__ >= 4))\n#     define CYTHON_UNUSED __attribute__ ((__unused__))\n#   else\n#     define CYTHON_UNUSED\n#   endif\n# elif defined(__ICC) || (defined(__INTEL_COMPILER) && !defined(_MSC_VER))\n#   define CYTHON_UNUSED __attribute__ ((__unused__))\n# else\n#   define CYTHON_UNUSED\n# endif\n#endif\n#ifndef CYTHON_MAYBE_UNUSED_VAR\n#  if defined(__cplusplus)\n     template<class T> void CYTHON_MAYBE_UNUSED_VAR( const T& ) { }\n#  else\n#    define CYTHON_MAYBE_UNUSED_VAR(x) (void)(x)\n#  endif\n#endif\n#ifndef CYTHON_NCP_UNUSED\n# if CYTHON_COMPILING_IN_CPYTHON\n#  define CYTHON_NCP_UNUSED\n# else\n#  define CYTHON_NCP_UNUSED CYTHON_UNUSED\n# endif\n#endif\n#define __Pyx_void_to_None(void_result) ((void)(void_result), Py_INCREF(Py_None), Py_None)\n#ifdef _MSC_VER\n    #ifndef _MSC_STDINT_H_\n        #if _MSC_VER < 1300\n           typedef unsigned char     uint8_t;\n           typedef unsigned int      uint32_t;\n        #else\n           typedef unsigned __int8   uint8_t;\n           typedef unsigned __int32  uint32_t;\n        #endif\n    #endif\n#else\n   #include <stdint.h>\n#endif\n#ifndef CYTHON_FALLTHROUGH\n  #if defined(__cplusplus) && __cplusplus >= 201103L\n    #if __has_cpp_attribute(fallthrough)\n      #define CYTHON_FALLTHROUGH [[fallthrough]]\n    #elif __has_cpp_attribute(clang::fallthrough)\n      #define CYTHON_FALLTHROUGH [[clang::fallthrough]]\n    #elif __has_cpp_attribute(gnu::fallthrough)\n      #define CYTHON_FALLTHROUGH [[gnu::fallthrough]]\n    #endif\n  #endif\n  #ifndef CYTHON_FALLTHROUGH\n    #if __has_attribute(fallthrough)\n      #define CYTHON_FALLTHROUGH __attribute__((fallthrough))\n    #else\n      #define CYTHON_FALLTHROUGH\n    #endif\n  #endif\n  #if defined(__clang__ ) && defined(__apple_build_version__)\n    #if __apple_build_version__ < 7000000\n      #undef  CYTHON_FALLTHROUGH\n      #define CYTHON_FALLTHROUGH\n    #endif\n  #endif\n#endif\n\n#ifndef CYTHON_INLINE\n  #if defined(__clang__)\n    #define CYTHON_INLINE __inline__ __attribute__ ((__unused__))\n  #elif defined(__GNUC__)\n    #define CYTHON_INLINE __inline__\n  #elif defined(_MSC_VER)\n    #define CYTHON_INLINE __inline\n  #elif defined (__STDC_VERSION__) && __STDC_VERSION__ >= 199901L\n    #define CYTHON_INLINE inline\n  #else\n    #define CYTHON_INLINE\n  #endif\n#endif\n\n#if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX < 0x02070600 && !defined(Py_OptimizeFlag)\n  #define Py_OptimizeFlag 0\n#endif\n#define __PYX_BUILD_PY_SSIZE_T \"n\"\n#define CYTHON_FORMAT_SSIZE_T \"z\"\n#if PY_MAJOR_VERSION < 3\n  #define __Pyx_BUILTIN_MODULE_NAME \"__builtin__\"\n  #define __Pyx_PyCode_New(a, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos)\\\n          PyCode_New(a+k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos)\n  #define __Pyx_DefaultClassType PyClass_Type\n#else\n  #define __Pyx_BUILTIN_MODULE_NAME \"builtins\"\n#if PY_VERSION_HEX >= 0x030800A4 && PY_VERSION_HEX < 0x030800B2\n  #define __Pyx_PyCode_New(a, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos)\\\n          PyCode_New(a, 0, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos)\n#else\n  #define __Pyx_PyCode_New(a, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos)\\\n          PyCode_New(a, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos)\n#endif\n  #define __Pyx_DefaultClassType PyType_Type\n#endif\n#ifndef Py_TPFLAGS_CHECKTYPES\n  #define Py_TPFLAGS_CHECKTYPES 0\n#endif\n#ifndef Py_TPFLAGS_HAVE_INDEX\n  #define Py_TPFLAGS_HAVE_INDEX 0\n#endif\n#ifndef Py_TPFLAGS_HAVE_NEWBUFFER\n  #define Py_TPFLAGS_HAVE_NEWBUFFER 0\n#endif\n#ifndef Py_TPFLAGS_HAVE_FINALIZE\n  #define Py_TPFLAGS_HAVE_FINALIZE 0\n#endif\n#ifndef METH_STACKLESS\n  #define METH_STACKLESS 0\n#endif\n#if PY_VERSION_HEX <= 0x030700A3 || !defined(METH_FASTCALL)\n  #ifndef METH_FASTCALL\n     #define METH_FASTCALL 0x80\n  #endif\n  typedef PyObject *(*__Pyx_PyCFunctionFast) (PyObject *self, PyObject *const *args, Py_ssize_t nargs);\n  typedef PyObject *(*__Pyx_PyCFunctionFastWithKeywords) (PyObject *self, PyObject *const *args,\n                                                          Py_ssize_t nargs, PyObject *kwnames);\n#else\n  #define __Pyx_PyCFunctionFast _PyCFunctionFast\n  #define __Pyx_PyCFunctionFastWithKeywords _PyCFunctionFastWithKeywords\n#endif\n#if CYTHON_FAST_PYCCALL\n#define __Pyx_PyFastCFunction_Check(func)\\\n    ((PyCFunction_Check(func) && (METH_FASTCALL == (PyCFunction_GET_FLAGS(func) & ~(METH_CLASS | METH_STATIC | METH_COEXIST | METH_KEYWORDS | METH_STACKLESS)))))\n#else\n#define __Pyx_PyFastCFunction_Check(func) 0\n#endif\n#if CYTHON_COMPILING_IN_PYPY && !defined(PyObject_Malloc)\n  #define PyObject_Malloc(s)   PyMem_Malloc(s)\n  #define PyObject_Free(p)     PyMem_Free(p)\n  #define PyObject_Realloc(p)  PyMem_Realloc(p)\n#endif\n#if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX < 0x030400A1\n  #define PyMem_RawMalloc(n)           PyMem_Malloc(n)\n  #define PyMem_RawRealloc(p, n)       PyMem_Realloc(p, n)\n  #define PyMem_RawFree(p)             PyMem_Free(p)\n#endif\n#if CYTHON_COMPILING_IN_PYSTON\n  #define __Pyx_PyCode_HasFreeVars(co)  PyCode_HasFreeVars(co)\n  #define __Pyx_PyFrame_SetLineNumber(frame, lineno) PyFrame_SetLineNumber(frame, lineno)\n#else\n  #define __Pyx_PyCode_HasFreeVars(co)  (PyCode_GetNumFree(co) > 0)\n  #define __Pyx_PyFrame_SetLineNumber(frame, lineno)  (frame)->f_lineno = (lineno)\n#endif\n#if !CYTHON_FAST_THREAD_STATE || PY_VERSION_HEX < 0x02070000\n  #define __Pyx_PyThreadState_Current PyThreadState_GET()\n#elif PY_VERSION_HEX >= 0x03060000\n  #define __Pyx_PyThreadState_Current _PyThreadState_UncheckedGet()\n#elif PY_VERSION_HEX >= 0x03000000\n  #define __Pyx_PyThreadState_Current PyThreadState_GET()\n#else\n  #define __Pyx_PyThreadState_Current _PyThreadState_Current\n#endif\n#if PY_VERSION_HEX < 0x030700A2 && !defined(PyThread_tss_create) && !defined(Py_tss_NEEDS_INIT)\n#include \"pythread.h\"\n#define Py_tss_NEEDS_INIT 0\ntypedef int Py_tss_t;\nstatic CYTHON_INLINE int PyThread_tss_create(Py_tss_t *key) {\n  *key = PyThread_create_key();\n  return 0;\n}\nstatic CYTHON_INLINE Py_tss_t * PyThread_tss_alloc(void) {\n  Py_tss_t *key = (Py_tss_t *)PyObject_Malloc(sizeof(Py_tss_t));\n  *key = Py_tss_NEEDS_INIT;\n  return key;\n}\nstatic CYTHON_INLINE void PyThread_tss_free(Py_tss_t *key) {\n  PyObject_Free(key);\n}\nstatic CYTHON_INLINE int PyThread_tss_is_created(Py_tss_t *key) {\n  return *key != Py_tss_NEEDS_INIT;\n}\nstatic CYTHON_INLINE void PyThread_tss_delete(Py_tss_t *key) {\n  PyThread_delete_key(*key);\n  *key = Py_tss_NEEDS_INIT;\n}\nstatic CYTHON_INLINE int PyThread_tss_set(Py_tss_t *key, void *value) {\n  return PyThread_set_key_value(*key, value);\n}\nstatic CYTHON_INLINE void * PyThread_tss_get(Py_tss_t *key) {\n  return PyThread_get_key_value(*key);\n}\n#endif\n#if CYTHON_COMPILING_IN_CPYTHON || defined(_PyDict_NewPresized)\n#define __Pyx_PyDict_NewPresized(n)  ((n <= 8) ? PyDict_New() : _PyDict_NewPresized(n))\n#else\n#define __Pyx_PyDict_NewPresized(n)  PyDict_New()\n#endif\n#if PY_MAJOR_VERSION >= 3 || CYTHON_FUTURE_DIVISION\n  #define __Pyx_PyNumber_Divide(x,y)         PyNumber_TrueDivide(x,y)\n  #define __Pyx_PyNumber_InPlaceDivide(x,y)  PyNumber_InPlaceTrueDivide(x,y)\n#else\n  #define __Pyx_PyNumber_Divide(x,y)         PyNumber_Divide(x,y)\n  #define __Pyx_PyNumber_InPlaceDivide(x,y)  PyNumber_InPlaceDivide(x,y)\n#endif\n#if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX >= 0x030500A1 && CYTHON_USE_UNICODE_INTERNALS\n#define __Pyx_PyDict_GetItemStr(dict, name)  _PyDict_GetItem_KnownHash(dict, name, ((PyASCIIObject *) name)->hash)\n#else\n#define __Pyx_PyDict_GetItemStr(dict, name)  PyDict_GetItem(dict, name)\n#endif\n#if PY_VERSION_HEX > 0x03030000 && defined(PyUnicode_KIND)\n  #define CYTHON_PEP393_ENABLED 1\n  #define __Pyx_PyUnicode_READY(op)       (likely(PyUnicode_IS_READY(op)) ?\\\n                                              0 : _PyUnicode_Ready((PyObject *)(op)))\n  #define __Pyx_PyUnicode_GET_LENGTH(u)   PyUnicode_GET_LENGTH(u)\n  #define __Pyx_PyUnicode_READ_CHAR(u, i) PyUnicode_READ_CHAR(u, i)\n  #define __Pyx_PyUnicode_MAX_CHAR_VALUE(u)   PyUnicode_MAX_CHAR_VALUE(u)\n  #define __Pyx_PyUnicode_KIND(u)         PyUnicode_KIND(u)\n  #define __Pyx_PyUnicode_DATA(u)         PyUnicode_DATA(u)\n  #define __Pyx_PyUnicode_READ(k, d, i)   PyUnicode_READ(k, d, i)\n  #define __Pyx_PyUnicode_WRITE(k, d, i, ch)  PyUnicode_WRITE(k, d, i, ch)\n  #if defined(PyUnicode_IS_READY) && defined(PyUnicode_GET_SIZE)\n  #define __Pyx_PyUnicode_IS_TRUE(u)      (0 != (likely(PyUnicode_IS_READY(u)) ? PyUnicode_GET_LENGTH(u) : PyUnicode_GET_SIZE(u)))\n  #else\n  #define __Pyx_PyUnicode_IS_TRUE(u)      (0 != PyUnicode_GET_LENGTH(u))\n  #endif\n#else\n  #define CYTHON_PEP393_ENABLED 0\n  #define PyUnicode_1BYTE_KIND  1\n  #define PyUnicode_2BYTE_KIND  2\n  #define PyUnicode_4BYTE_KIND  4\n  #define __Pyx_PyUnicode_READY(op)       (0)\n  #define __Pyx_PyUnicode_GET_LENGTH(u)   PyUnicode_GET_SIZE(u)\n  #define __Pyx_PyUnicode_READ_CHAR(u, i) ((Py_UCS4)(PyUnicode_AS_UNICODE(u)[i]))\n  #define __Pyx_PyUnicode_MAX_CHAR_VALUE(u)   ((sizeof(Py_UNICODE) == 2) ? 65535 : 1114111)\n  #define __Pyx_PyUnicode_KIND(u)         (sizeof(Py_UNICODE))\n  #define __Pyx_PyUnicode_DATA(u)         ((void*)PyUnicode_AS_UNICODE(u))\n  #define __Pyx_PyUnicode_READ(k, d, i)   ((void)(k), (Py_UCS4)(((Py_UNICODE*)d)[i]))\n  #define __Pyx_PyUnicode_WRITE(k, d, i, ch)  (((void)(k)), ((Py_UNICODE*)d)[i] = ch)\n  #define __Pyx_PyUnicode_IS_TRUE(u)      (0 != PyUnicode_GET_SIZE(u))\n#endif\n#if CYTHON_COMPILING_IN_PYPY\n  #define __Pyx_PyUnicode_Concat(a, b)      PyNumber_Add(a, b)\n  #define __Pyx_PyUnicode_ConcatSafe(a, b)  PyNumber_Add(a, b)\n#else\n  #define __Pyx_PyUnicode_Concat(a, b)      PyUnicode_Concat(a, b)\n  #define __Pyx_PyUnicode_ConcatSafe(a, b)  ((unlikely((a) == Py_None) || unlikely((b) == Py_None)) ?\\\n      PyNumber_Add(a, b) : __Pyx_PyUnicode_Concat(a, b))\n#endif\n#if CYTHON_COMPILING_IN_PYPY && !defined(PyUnicode_Contains)\n  #define PyUnicode_Contains(u, s)  PySequence_Contains(u, s)\n#endif\n#if CYTHON_COMPILING_IN_PYPY && !defined(PyByteArray_Check)\n  #define PyByteArray_Check(obj)  PyObject_TypeCheck(obj, &PyByteArray_Type)\n#endif\n#if CYTHON_COMPILING_IN_PYPY && !defined(PyObject_Format)\n  #define PyObject_Format(obj, fmt)  PyObject_CallMethod(obj, \"__format__\", \"O\", fmt)\n#endif\n#define __Pyx_PyString_FormatSafe(a, b)   ((unlikely((a) == Py_None || (PyString_Check(b) && !PyString_CheckExact(b)))) ? PyNumber_Remainder(a, b) : __Pyx_PyString_Format(a, b))\n#define __Pyx_PyUnicode_FormatSafe(a, b)  ((unlikely((a) == Py_None || (PyUnicode_Check(b) && !PyUnicode_CheckExact(b)))) ? PyNumber_Remainder(a, b) : PyUnicode_Format(a, b))\n#if PY_MAJOR_VERSION >= 3\n  #define __Pyx_PyString_Format(a, b)  PyUnicode_Format(a, b)\n#else\n  #define __Pyx_PyString_Format(a, b)  PyString_Format(a, b)\n#endif\n#if PY_MAJOR_VERSION < 3 && !defined(PyObject_ASCII)\n  #define PyObject_ASCII(o)            PyObject_Repr(o)\n#endif\n#if PY_MAJOR_VERSION >= 3\n  #define PyBaseString_Type            PyUnicode_Type\n  #define PyStringObject               PyUnicodeObject\n  #define PyString_Type                PyUnicode_Type\n  #define PyString_Check               PyUnicode_Check\n  #define PyString_CheckExact          PyUnicode_CheckExact\n#ifndef PyObject_Unicode\n  #define PyObject_Unicode             PyObject_Str\n#endif\n#endif\n#if PY_MAJOR_VERSION >= 3\n  #define __Pyx_PyBaseString_Check(obj) PyUnicode_Check(obj)\n  #define __Pyx_PyBaseString_CheckExact(obj) PyUnicode_CheckExact(obj)\n#else\n  #define __Pyx_PyBaseString_Check(obj) (PyString_Check(obj) || PyUnicode_Check(obj))\n  #define __Pyx_PyBaseString_CheckExact(obj) (PyString_CheckExact(obj) || PyUnicode_CheckExact(obj))\n#endif\n#ifndef PySet_CheckExact\n  #define PySet_CheckExact(obj)        (Py_TYPE(obj) == &PySet_Type)\n#endif\n#if PY_VERSION_HEX >= 0x030900A4\n  #define __Pyx_SET_REFCNT(obj, refcnt) Py_SET_REFCNT(obj, refcnt)\n  #define __Pyx_SET_SIZE(obj, size) Py_SET_SIZE(obj, size)\n#else\n  #define __Pyx_SET_REFCNT(obj, refcnt) Py_REFCNT(obj) = (refcnt)\n  #define __Pyx_SET_SIZE(obj, size) Py_SIZE(obj) = (size)\n#endif\n#if CYTHON_ASSUME_SAFE_MACROS\n  #define __Pyx_PySequence_SIZE(seq)  Py_SIZE(seq)\n#else\n  #define __Pyx_PySequence_SIZE(seq)  PySequence_Size(seq)\n#endif\n#if PY_MAJOR_VERSION >= 3\n  #define PyIntObject                  PyLongObject\n  #define PyInt_Type                   PyLong_Type\n  #define PyInt_Check(op)              PyLong_Check(op)\n  #define PyInt_CheckExact(op)         PyLong_CheckExact(op)\n  #define PyInt_FromString             PyLong_FromString\n  #define PyInt_FromUnicode            PyLong_FromUnicode\n  #define PyInt_FromLong               PyLong_FromLong\n  #define PyInt_FromSize_t             PyLong_FromSize_t\n  #define PyInt_FromSsize_t            PyLong_FromSsize_t\n  #define PyInt_AsLong                 PyLong_AsLong\n  #define PyInt_AS_LONG                PyLong_AS_LONG\n  #define PyInt_AsSsize_t              PyLong_AsSsize_t\n  #define PyInt_AsUnsignedLongMask     PyLong_AsUnsignedLongMask\n  #define PyInt_AsUnsignedLongLongMask PyLong_AsUnsignedLongLongMask\n  #define PyNumber_Int                 PyNumber_Long\n#endif\n#if PY_MAJOR_VERSION >= 3\n  #define PyBoolObject                 PyLongObject\n#endif\n#if PY_MAJOR_VERSION >= 3 && CYTHON_COMPILING_IN_PYPY\n  #ifndef PyUnicode_InternFromString\n    #define PyUnicode_InternFromString(s) PyUnicode_FromString(s)\n  #endif\n#endif\n#if PY_VERSION_HEX < 0x030200A4\n  typedef long Py_hash_t;\n  #define __Pyx_PyInt_FromHash_t PyInt_FromLong\n  #define __Pyx_PyInt_AsHash_t   PyInt_AsLong\n#else\n  #define __Pyx_PyInt_FromHash_t PyInt_FromSsize_t\n  #define __Pyx_PyInt_AsHash_t   PyInt_AsSsize_t\n#endif\n#if PY_MAJOR_VERSION >= 3\n  #define __Pyx_PyMethod_New(func, self, klass) ((self) ? ((void)(klass), PyMethod_New(func, self)) : __Pyx_NewRef(func))\n#else\n  #define __Pyx_PyMethod_New(func, self, klass) PyMethod_New(func, self, klass)\n#endif\n#if CYTHON_USE_ASYNC_SLOTS\n  #if PY_VERSION_HEX >= 0x030500B1\n    #define __Pyx_PyAsyncMethodsStruct PyAsyncMethods\n    #define __Pyx_PyType_AsAsync(obj) (Py_TYPE(obj)->tp_as_async)\n  #else\n    #define __Pyx_PyType_AsAsync(obj) ((__Pyx_PyAsyncMethodsStruct*) (Py_TYPE(obj)->tp_reserved))\n  #endif\n#else\n  #define __Pyx_PyType_AsAsync(obj) NULL\n#endif\n#ifndef __Pyx_PyAsyncMethodsStruct\n    typedef struct {\n        unaryfunc am_await;\n        unaryfunc am_aiter;\n        unaryfunc am_anext;\n    } __Pyx_PyAsyncMethodsStruct;\n#endif\n\n#if defined(WIN32) || defined(MS_WINDOWS)\n  #define _USE_MATH_DEFINES\n#endif\n#include <math.h>\n#ifdef NAN\n#define __PYX_NAN() ((float) NAN)\n#else\nstatic CYTHON_INLINE float __PYX_NAN() {\n  float value;\n  memset(&value, 0xFF, sizeof(value));\n  return value;\n}\n#endif\n#if defined(__CYGWIN__) && defined(_LDBL_EQ_DBL)\n#define __Pyx_truncl trunc\n#else\n#define __Pyx_truncl truncl\n#endif\n\n#define __PYX_MARK_ERR_POS(f_index, lineno) \\\n    { __pyx_filename = __pyx_f[f_index]; (void)__pyx_filename; __pyx_lineno = lineno; (void)__pyx_lineno; __pyx_clineno = __LINE__; (void)__pyx_clineno; }\n#define __PYX_ERR(f_index, lineno, Ln_error) \\\n    { __PYX_MARK_ERR_POS(f_index, lineno) goto Ln_error; }\n\n#ifndef __PYX_EXTERN_C\n  #ifdef __cplusplus\n    #define __PYX_EXTERN_C extern \"C\"\n  #else\n    #define __PYX_EXTERN_C extern\n  #endif\n#endif\n\n#define __PYX_HAVE__im2col_cython\n#define __PYX_HAVE_API__im2col_cython\n/* Early includes */\n#include <string.h>\n#include <stdio.h>\n#include \"numpy/arrayobject.h\"\n#include \"numpy/ufuncobject.h\"\n\n    /* NumPy API declarations from \"numpy/__init__.pxd\" */\n    \n#include \"pythread.h\"\n#include <stdlib.h>\n#include \"pystate.h\"\n#ifdef _OPENMP\n#include <omp.h>\n#endif /* _OPENMP */\n\n#if defined(PYREX_WITHOUT_ASSERTIONS) && !defined(CYTHON_WITHOUT_ASSERTIONS)\n#define CYTHON_WITHOUT_ASSERTIONS\n#endif\n\ntypedef struct {PyObject **p; const char *s; const Py_ssize_t n; const char* encoding;\n                const char is_unicode; const char is_str; const char intern; } __Pyx_StringTabEntry;\n\n#define __PYX_DEFAULT_STRING_ENCODING_IS_ASCII 0\n#define __PYX_DEFAULT_STRING_ENCODING_IS_UTF8 0\n#define __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT (PY_MAJOR_VERSION >= 3 && __PYX_DEFAULT_STRING_ENCODING_IS_UTF8)\n#define __PYX_DEFAULT_STRING_ENCODING \"\"\n#define __Pyx_PyObject_FromString __Pyx_PyBytes_FromString\n#define __Pyx_PyObject_FromStringAndSize __Pyx_PyBytes_FromStringAndSize\n#define __Pyx_uchar_cast(c) ((unsigned char)c)\n#define __Pyx_long_cast(x) ((long)x)\n#define __Pyx_fits_Py_ssize_t(v, type, is_signed)  (\\\n    (sizeof(type) < sizeof(Py_ssize_t))  ||\\\n    (sizeof(type) > sizeof(Py_ssize_t) &&\\\n          likely(v < (type)PY_SSIZE_T_MAX ||\\\n                 v == (type)PY_SSIZE_T_MAX)  &&\\\n          (!is_signed || likely(v > (type)PY_SSIZE_T_MIN ||\\\n                                v == (type)PY_SSIZE_T_MIN)))  ||\\\n    (sizeof(type) == sizeof(Py_ssize_t) &&\\\n          (is_signed || likely(v < (type)PY_SSIZE_T_MAX ||\\\n                               v == (type)PY_SSIZE_T_MAX)))  )\nstatic CYTHON_INLINE int __Pyx_is_valid_index(Py_ssize_t i, Py_ssize_t limit) {\n    return (size_t) i < (size_t) limit;\n}\n#if defined (__cplusplus) && __cplusplus >= 201103L\n    #include <cstdlib>\n    #define __Pyx_sst_abs(value) std::abs(value)\n#elif SIZEOF_INT >= SIZEOF_SIZE_T\n    #define __Pyx_sst_abs(value) abs(value)\n#elif SIZEOF_LONG >= SIZEOF_SIZE_T\n    #define __Pyx_sst_abs(value) labs(value)\n#elif defined (_MSC_VER)\n    #define __Pyx_sst_abs(value) ((Py_ssize_t)_abs64(value))\n#elif defined (__STDC_VERSION__) && __STDC_VERSION__ >= 199901L\n    #define __Pyx_sst_abs(value) llabs(value)\n#elif defined (__GNUC__)\n    #define __Pyx_sst_abs(value) __builtin_llabs(value)\n#else\n    #define __Pyx_sst_abs(value) ((value<0) ? -value : value)\n#endif\nstatic CYTHON_INLINE const char* __Pyx_PyObject_AsString(PyObject*);\nstatic CYTHON_INLINE const char* __Pyx_PyObject_AsStringAndSize(PyObject*, Py_ssize_t* length);\n#define __Pyx_PyByteArray_FromString(s) PyByteArray_FromStringAndSize((const char*)s, strlen((const char*)s))\n#define __Pyx_PyByteArray_FromStringAndSize(s, l) PyByteArray_FromStringAndSize((const char*)s, l)\n#define __Pyx_PyBytes_FromString        PyBytes_FromString\n#define __Pyx_PyBytes_FromStringAndSize PyBytes_FromStringAndSize\nstatic CYTHON_INLINE PyObject* __Pyx_PyUnicode_FromString(const char*);\n#if PY_MAJOR_VERSION < 3\n    #define __Pyx_PyStr_FromString        __Pyx_PyBytes_FromString\n    #define __Pyx_PyStr_FromStringAndSize __Pyx_PyBytes_FromStringAndSize\n#else\n    #define __Pyx_PyStr_FromString        __Pyx_PyUnicode_FromString\n    #define __Pyx_PyStr_FromStringAndSize __Pyx_PyUnicode_FromStringAndSize\n#endif\n#define __Pyx_PyBytes_AsWritableString(s)     ((char*) PyBytes_AS_STRING(s))\n#define __Pyx_PyBytes_AsWritableSString(s)    ((signed char*) PyBytes_AS_STRING(s))\n#define __Pyx_PyBytes_AsWritableUString(s)    ((unsigned char*) PyBytes_AS_STRING(s))\n#define __Pyx_PyBytes_AsString(s)     ((const char*) PyBytes_AS_STRING(s))\n#define __Pyx_PyBytes_AsSString(s)    ((const signed char*) PyBytes_AS_STRING(s))\n#define __Pyx_PyBytes_AsUString(s)    ((const unsigned char*) PyBytes_AS_STRING(s))\n#define __Pyx_PyObject_AsWritableString(s)    ((char*) __Pyx_PyObject_AsString(s))\n#define __Pyx_PyObject_AsWritableSString(s)    ((signed char*) __Pyx_PyObject_AsString(s))\n#define __Pyx_PyObject_AsWritableUString(s)    ((unsigned char*) __Pyx_PyObject_AsString(s))\n#define __Pyx_PyObject_AsSString(s)    ((const signed char*) __Pyx_PyObject_AsString(s))\n#define __Pyx_PyObject_AsUString(s)    ((const unsigned char*) __Pyx_PyObject_AsString(s))\n#define __Pyx_PyObject_FromCString(s)  __Pyx_PyObject_FromString((const char*)s)\n#define __Pyx_PyBytes_FromCString(s)   __Pyx_PyBytes_FromString((const char*)s)\n#define __Pyx_PyByteArray_FromCString(s)   __Pyx_PyByteArray_FromString((const char*)s)\n#define __Pyx_PyStr_FromCString(s)     __Pyx_PyStr_FromString((const char*)s)\n#define __Pyx_PyUnicode_FromCString(s) __Pyx_PyUnicode_FromString((const char*)s)\nstatic CYTHON_INLINE size_t __Pyx_Py_UNICODE_strlen(const Py_UNICODE *u) {\n    const Py_UNICODE *u_end = u;\n    while (*u_end++) ;\n    return (size_t)(u_end - u - 1);\n}\n#define __Pyx_PyUnicode_FromUnicode(u)       PyUnicode_FromUnicode(u, __Pyx_Py_UNICODE_strlen(u))\n#define __Pyx_PyUnicode_FromUnicodeAndLength PyUnicode_FromUnicode\n#define __Pyx_PyUnicode_AsUnicode            PyUnicode_AsUnicode\n#define __Pyx_NewRef(obj) (Py_INCREF(obj), obj)\n#define __Pyx_Owned_Py_None(b) __Pyx_NewRef(Py_None)\nstatic CYTHON_INLINE PyObject * __Pyx_PyBool_FromLong(long b);\nstatic CYTHON_INLINE int __Pyx_PyObject_IsTrue(PyObject*);\nstatic CYTHON_INLINE int __Pyx_PyObject_IsTrueAndDecref(PyObject*);\nstatic CYTHON_INLINE PyObject* __Pyx_PyNumber_IntOrLong(PyObject* x);\n#define __Pyx_PySequence_Tuple(obj)\\\n    (likely(PyTuple_CheckExact(obj)) ? __Pyx_NewRef(obj) : PySequence_Tuple(obj))\nstatic CYTHON_INLINE Py_ssize_t __Pyx_PyIndex_AsSsize_t(PyObject*);\nstatic CYTHON_INLINE PyObject * __Pyx_PyInt_FromSize_t(size_t);\n#if CYTHON_ASSUME_SAFE_MACROS\n#define __pyx_PyFloat_AsDouble(x) (PyFloat_CheckExact(x) ? PyFloat_AS_DOUBLE(x) : PyFloat_AsDouble(x))\n#else\n#define __pyx_PyFloat_AsDouble(x) PyFloat_AsDouble(x)\n#endif\n#define __pyx_PyFloat_AsFloat(x) ((float) __pyx_PyFloat_AsDouble(x))\n#if PY_MAJOR_VERSION >= 3\n#define __Pyx_PyNumber_Int(x) (PyLong_CheckExact(x) ? __Pyx_NewRef(x) : PyNumber_Long(x))\n#else\n#define __Pyx_PyNumber_Int(x) (PyInt_CheckExact(x) ? __Pyx_NewRef(x) : PyNumber_Int(x))\n#endif\n#define __Pyx_PyNumber_Float(x) (PyFloat_CheckExact(x) ? __Pyx_NewRef(x) : PyNumber_Float(x))\n#if PY_MAJOR_VERSION < 3 && __PYX_DEFAULT_STRING_ENCODING_IS_ASCII\nstatic int __Pyx_sys_getdefaultencoding_not_ascii;\nstatic int __Pyx_init_sys_getdefaultencoding_params(void) {\n    PyObject* sys;\n    PyObject* default_encoding = NULL;\n    PyObject* ascii_chars_u = NULL;\n    PyObject* ascii_chars_b = NULL;\n    const char* default_encoding_c;\n    sys = PyImport_ImportModule(\"sys\");\n    if (!sys) goto bad;\n    default_encoding = PyObject_CallMethod(sys, (char*) \"getdefaultencoding\", NULL);\n    Py_DECREF(sys);\n    if (!default_encoding) goto bad;\n    default_encoding_c = PyBytes_AsString(default_encoding);\n    if (!default_encoding_c) goto bad;\n    if (strcmp(default_encoding_c, \"ascii\") == 0) {\n        __Pyx_sys_getdefaultencoding_not_ascii = 0;\n    } else {\n        char ascii_chars[128];\n        int c;\n        for (c = 0; c < 128; c++) {\n            ascii_chars[c] = c;\n        }\n        __Pyx_sys_getdefaultencoding_not_ascii = 1;\n        ascii_chars_u = PyUnicode_DecodeASCII(ascii_chars, 128, NULL);\n        if (!ascii_chars_u) goto bad;\n        ascii_chars_b = PyUnicode_AsEncodedString(ascii_chars_u, default_encoding_c, NULL);\n        if (!ascii_chars_b || !PyBytes_Check(ascii_chars_b) || memcmp(ascii_chars, PyBytes_AS_STRING(ascii_chars_b), 128) != 0) {\n            PyErr_Format(\n                PyExc_ValueError,\n                \"This module compiled with c_string_encoding=ascii, but default encoding '%.200s' is not a superset of ascii.\",\n                default_encoding_c);\n            goto bad;\n        }\n        Py_DECREF(ascii_chars_u);\n        Py_DECREF(ascii_chars_b);\n    }\n    Py_DECREF(default_encoding);\n    return 0;\nbad:\n    Py_XDECREF(default_encoding);\n    Py_XDECREF(ascii_chars_u);\n    Py_XDECREF(ascii_chars_b);\n    return -1;\n}\n#endif\n#if __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT && PY_MAJOR_VERSION >= 3\n#define __Pyx_PyUnicode_FromStringAndSize(c_str, size) PyUnicode_DecodeUTF8(c_str, size, NULL)\n#else\n#define __Pyx_PyUnicode_FromStringAndSize(c_str, size) PyUnicode_Decode(c_str, size, __PYX_DEFAULT_STRING_ENCODING, NULL)\n#if __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT\nstatic char* __PYX_DEFAULT_STRING_ENCODING;\nstatic int __Pyx_init_sys_getdefaultencoding_params(void) {\n    PyObject* sys;\n    PyObject* default_encoding = NULL;\n    char* default_encoding_c;\n    sys = PyImport_ImportModule(\"sys\");\n    if (!sys) goto bad;\n    default_encoding = PyObject_CallMethod(sys, (char*) (const char*) \"getdefaultencoding\", NULL);\n    Py_DECREF(sys);\n    if (!default_encoding) goto bad;\n    default_encoding_c = PyBytes_AsString(default_encoding);\n    if (!default_encoding_c) goto bad;\n    __PYX_DEFAULT_STRING_ENCODING = (char*) malloc(strlen(default_encoding_c) + 1);\n    if (!__PYX_DEFAULT_STRING_ENCODING) goto bad;\n    strcpy(__PYX_DEFAULT_STRING_ENCODING, default_encoding_c);\n    Py_DECREF(default_encoding);\n    return 0;\nbad:\n    Py_XDECREF(default_encoding);\n    return -1;\n}\n#endif\n#endif\n\n\n/* Test for GCC > 2.95 */\n#if defined(__GNUC__)     && (__GNUC__ > 2 || (__GNUC__ == 2 && (__GNUC_MINOR__ > 95)))\n  #define likely(x)   __builtin_expect(!!(x), 1)\n  #define unlikely(x) __builtin_expect(!!(x), 0)\n#else /* !__GNUC__ or GCC < 2.95 */\n  #define likely(x)   (x)\n  #define unlikely(x) (x)\n#endif /* __GNUC__ */\nstatic CYTHON_INLINE void __Pyx_pretend_to_initialize(void* ptr) { (void)ptr; }\n\nstatic PyObject *__pyx_m = NULL;\nstatic PyObject *__pyx_d;\nstatic PyObject *__pyx_b;\nstatic PyObject *__pyx_cython_runtime = NULL;\nstatic PyObject *__pyx_empty_tuple;\nstatic PyObject *__pyx_empty_bytes;\nstatic PyObject *__pyx_empty_unicode;\nstatic int __pyx_lineno;\nstatic int __pyx_clineno = 0;\nstatic const char * __pyx_cfilenm= __FILE__;\nstatic const char *__pyx_filename;\n\n/* Header.proto */\n#if !defined(CYTHON_CCOMPLEX)\n  #if defined(__cplusplus)\n    #define CYTHON_CCOMPLEX 1\n  #elif defined(_Complex_I)\n    #define CYTHON_CCOMPLEX 1\n  #else\n    #define CYTHON_CCOMPLEX 0\n  #endif\n#endif\n#if CYTHON_CCOMPLEX\n  #ifdef __cplusplus\n    #include <complex>\n  #else\n    #include <complex.h>\n  #endif\n#endif\n#if CYTHON_CCOMPLEX && !defined(__cplusplus) && defined(__sun__) && defined(__GNUC__)\n  #undef _Complex_I\n  #define _Complex_I 1.0fj\n#endif\n\n\nstatic const char *__pyx_f[] = {\n  \"im2col_cython.pyx\",\n  \"__init__.pxd\",\n  \"stringsource\",\n  \"type.pxd\",\n};\n/* BufferFormatStructs.proto */\n#define IS_UNSIGNED(type) (((type) -1) > 0)\nstruct __Pyx_StructField_;\n#define __PYX_BUF_FLAGS_PACKED_STRUCT (1 << 0)\ntypedef struct {\n  const char* name;\n  struct __Pyx_StructField_* fields;\n  size_t size;\n  size_t arraysize[8];\n  int ndim;\n  char typegroup;\n  char is_unsigned;\n  int flags;\n} __Pyx_TypeInfo;\ntypedef struct __Pyx_StructField_ {\n  __Pyx_TypeInfo* type;\n  const char* name;\n  size_t offset;\n} __Pyx_StructField;\ntypedef struct {\n  __Pyx_StructField* field;\n  size_t parent_offset;\n} __Pyx_BufFmt_StackElem;\ntypedef struct {\n  __Pyx_StructField root;\n  __Pyx_BufFmt_StackElem* head;\n  size_t fmt_offset;\n  size_t new_count, enc_count;\n  size_t struct_alignment;\n  int is_complex;\n  char enc_type;\n  char new_packmode;\n  char enc_packmode;\n  char is_valid_array;\n} __Pyx_BufFmt_Context;\n\n/* ForceInitThreads.proto */\n#ifndef __PYX_FORCE_INIT_THREADS\n  #define __PYX_FORCE_INIT_THREADS 0\n#endif\n\n/* NoFastGil.proto */\n#define __Pyx_PyGILState_Ensure PyGILState_Ensure\n#define __Pyx_PyGILState_Release PyGILState_Release\n#define __Pyx_FastGIL_Remember()\n#define __Pyx_FastGIL_Forget()\n#define __Pyx_FastGilFuncInit()\n\n/* Atomics.proto */\n#include <pythread.h>\n#ifndef CYTHON_ATOMICS\n    #define CYTHON_ATOMICS 1\n#endif\n#define __pyx_atomic_int_type int\n#if CYTHON_ATOMICS && __GNUC__ >= 4 && (__GNUC_MINOR__ > 1 ||\\\n                    (__GNUC_MINOR__ == 1 && __GNUC_PATCHLEVEL >= 2)) &&\\\n                    !defined(__i386__)\n    #define __pyx_atomic_incr_aligned(value, lock) __sync_fetch_and_add(value, 1)\n    #define __pyx_atomic_decr_aligned(value, lock) __sync_fetch_and_sub(value, 1)\n    #ifdef __PYX_DEBUG_ATOMICS\n        #warning \"Using GNU atomics\"\n    #endif\n#elif CYTHON_ATOMICS && defined(_MSC_VER) && 0\n    #include <Windows.h>\n    #undef __pyx_atomic_int_type\n    #define __pyx_atomic_int_type LONG\n    #define __pyx_atomic_incr_aligned(value, lock) InterlockedIncrement(value)\n    #define __pyx_atomic_decr_aligned(value, lock) InterlockedDecrement(value)\n    #ifdef __PYX_DEBUG_ATOMICS\n        #pragma message (\"Using MSVC atomics\")\n    #endif\n#elif CYTHON_ATOMICS && (defined(__ICC) || defined(__INTEL_COMPILER)) && 0\n    #define __pyx_atomic_incr_aligned(value, lock) _InterlockedIncrement(value)\n    #define __pyx_atomic_decr_aligned(value, lock) _InterlockedDecrement(value)\n    #ifdef __PYX_DEBUG_ATOMICS\n        #warning \"Using Intel atomics\"\n    #endif\n#else\n    #undef CYTHON_ATOMICS\n    #define CYTHON_ATOMICS 0\n    #ifdef __PYX_DEBUG_ATOMICS\n        #warning \"Not using atomics\"\n    #endif\n#endif\ntypedef volatile __pyx_atomic_int_type __pyx_atomic_int;\n#if CYTHON_ATOMICS\n    #define __pyx_add_acquisition_count(memview)\\\n             __pyx_atomic_incr_aligned(__pyx_get_slice_count_pointer(memview), memview->lock)\n    #define __pyx_sub_acquisition_count(memview)\\\n            __pyx_atomic_decr_aligned(__pyx_get_slice_count_pointer(memview), memview->lock)\n#else\n    #define __pyx_add_acquisition_count(memview)\\\n            __pyx_add_acquisition_count_locked(__pyx_get_slice_count_pointer(memview), memview->lock)\n    #define __pyx_sub_acquisition_count(memview)\\\n            __pyx_sub_acquisition_count_locked(__pyx_get_slice_count_pointer(memview), memview->lock)\n#endif\n\n/* MemviewSliceStruct.proto */\nstruct __pyx_memoryview_obj;\ntypedef struct {\n  struct __pyx_memoryview_obj *memview;\n  char *data;\n  Py_ssize_t shape[8];\n  Py_ssize_t strides[8];\n  Py_ssize_t suboffsets[8];\n} __Pyx_memviewslice;\n#define __Pyx_MemoryView_Len(m)  (m.shape[0])\n\n\n/* \"../../../../../../../usr/local/lib/python3.6/dist-packages/numpy/__init__.pxd\":689\n * # in Cython to enable them only on the right systems.\n * \n * ctypedef npy_int8       int8_t             # <<<<<<<<<<<<<<\n * ctypedef npy_int16      int16_t\n * ctypedef npy_int32      int32_t\n */\ntypedef npy_int8 __pyx_t_5numpy_int8_t;\n\n/* \"../../../../../../../usr/local/lib/python3.6/dist-packages/numpy/__init__.pxd\":690\n * \n * ctypedef npy_int8       int8_t\n * ctypedef npy_int16      int16_t             # <<<<<<<<<<<<<<\n * ctypedef npy_int32      int32_t\n * ctypedef npy_int64      int64_t\n */\ntypedef npy_int16 __pyx_t_5numpy_int16_t;\n\n/* \"../../../../../../../usr/local/lib/python3.6/dist-packages/numpy/__init__.pxd\":691\n * ctypedef npy_int8       int8_t\n * ctypedef npy_int16      int16_t\n * ctypedef npy_int32      int32_t             # <<<<<<<<<<<<<<\n * ctypedef npy_int64      int64_t\n * #ctypedef npy_int96      int96_t\n */\ntypedef npy_int32 __pyx_t_5numpy_int32_t;\n\n/* \"../../../../../../../usr/local/lib/python3.6/dist-packages/numpy/__init__.pxd\":692\n * ctypedef npy_int16      int16_t\n * ctypedef npy_int32      int32_t\n * ctypedef npy_int64      int64_t             # <<<<<<<<<<<<<<\n * #ctypedef npy_int96      int96_t\n * #ctypedef npy_int128     int128_t\n */\ntypedef npy_int64 __pyx_t_5numpy_int64_t;\n\n/* \"../../../../../../../usr/local/lib/python3.6/dist-packages/numpy/__init__.pxd\":696\n * #ctypedef npy_int128     int128_t\n * \n * ctypedef npy_uint8      uint8_t             # <<<<<<<<<<<<<<\n * ctypedef npy_uint16     uint16_t\n * ctypedef npy_uint32     uint32_t\n */\ntypedef npy_uint8 __pyx_t_5numpy_uint8_t;\n\n/* \"../../../../../../../usr/local/lib/python3.6/dist-packages/numpy/__init__.pxd\":697\n * \n * ctypedef npy_uint8      uint8_t\n * ctypedef npy_uint16     uint16_t             # <<<<<<<<<<<<<<\n * ctypedef npy_uint32     uint32_t\n * ctypedef npy_uint64     uint64_t\n */\ntypedef npy_uint16 __pyx_t_5numpy_uint16_t;\n\n/* \"../../../../../../../usr/local/lib/python3.6/dist-packages/numpy/__init__.pxd\":698\n * ctypedef npy_uint8      uint8_t\n * ctypedef npy_uint16     uint16_t\n * ctypedef npy_uint32     uint32_t             # <<<<<<<<<<<<<<\n * ctypedef npy_uint64     uint64_t\n * #ctypedef npy_uint96     uint96_t\n */\ntypedef npy_uint32 __pyx_t_5numpy_uint32_t;\n\n/* \"../../../../../../../usr/local/lib/python3.6/dist-packages/numpy/__init__.pxd\":699\n * ctypedef npy_uint16     uint16_t\n * ctypedef npy_uint32     uint32_t\n * ctypedef npy_uint64     uint64_t             # <<<<<<<<<<<<<<\n * #ctypedef npy_uint96     uint96_t\n * #ctypedef npy_uint128    uint128_t\n */\ntypedef npy_uint64 __pyx_t_5numpy_uint64_t;\n\n/* \"../../../../../../../usr/local/lib/python3.6/dist-packages/numpy/__init__.pxd\":703\n * #ctypedef npy_uint128    uint128_t\n * \n * ctypedef npy_float32    float32_t             # <<<<<<<<<<<<<<\n * ctypedef npy_float64    float64_t\n * #ctypedef npy_float80    float80_t\n */\ntypedef npy_float32 __pyx_t_5numpy_float32_t;\n\n/* \"../../../../../../../usr/local/lib/python3.6/dist-packages/numpy/__init__.pxd\":704\n * \n * ctypedef npy_float32    float32_t\n * ctypedef npy_float64    float64_t             # <<<<<<<<<<<<<<\n * #ctypedef npy_float80    float80_t\n * #ctypedef npy_float128   float128_t\n */\ntypedef npy_float64 __pyx_t_5numpy_float64_t;\n\n/* \"../../../../../../../usr/local/lib/python3.6/dist-packages/numpy/__init__.pxd\":713\n * # The int types are mapped a bit surprising --\n * # numpy.int corresponds to 'l' and numpy.long to 'q'\n * ctypedef npy_long       int_t             # <<<<<<<<<<<<<<\n * ctypedef npy_longlong   long_t\n * ctypedef npy_longlong   longlong_t\n */\ntypedef npy_long __pyx_t_5numpy_int_t;\n\n/* \"../../../../../../../usr/local/lib/python3.6/dist-packages/numpy/__init__.pxd\":714\n * # numpy.int corresponds to 'l' and numpy.long to 'q'\n * ctypedef npy_long       int_t\n * ctypedef npy_longlong   long_t             # <<<<<<<<<<<<<<\n * ctypedef npy_longlong   longlong_t\n * \n */\ntypedef npy_longlong __pyx_t_5numpy_long_t;\n\n/* \"../../../../../../../usr/local/lib/python3.6/dist-packages/numpy/__init__.pxd\":715\n * ctypedef npy_long       int_t\n * ctypedef npy_longlong   long_t\n * ctypedef npy_longlong   longlong_t             # <<<<<<<<<<<<<<\n * \n * ctypedef npy_ulong      uint_t\n */\ntypedef npy_longlong __pyx_t_5numpy_longlong_t;\n\n/* \"../../../../../../../usr/local/lib/python3.6/dist-packages/numpy/__init__.pxd\":717\n * ctypedef npy_longlong   longlong_t\n * \n * ctypedef npy_ulong      uint_t             # <<<<<<<<<<<<<<\n * ctypedef npy_ulonglong  ulong_t\n * ctypedef npy_ulonglong  ulonglong_t\n */\ntypedef npy_ulong __pyx_t_5numpy_uint_t;\n\n/* \"../../../../../../../usr/local/lib/python3.6/dist-packages/numpy/__init__.pxd\":718\n * \n * ctypedef npy_ulong      uint_t\n * ctypedef npy_ulonglong  ulong_t             # <<<<<<<<<<<<<<\n * ctypedef npy_ulonglong  ulonglong_t\n * \n */\ntypedef npy_ulonglong __pyx_t_5numpy_ulong_t;\n\n/* \"../../../../../../../usr/local/lib/python3.6/dist-packages/numpy/__init__.pxd\":719\n * ctypedef npy_ulong      uint_t\n * ctypedef npy_ulonglong  ulong_t\n * ctypedef npy_ulonglong  ulonglong_t             # <<<<<<<<<<<<<<\n * \n * ctypedef npy_intp       intp_t\n */\ntypedef npy_ulonglong __pyx_t_5numpy_ulonglong_t;\n\n/* \"../../../../../../../usr/local/lib/python3.6/dist-packages/numpy/__init__.pxd\":721\n * ctypedef npy_ulonglong  ulonglong_t\n * \n * ctypedef npy_intp       intp_t             # <<<<<<<<<<<<<<\n * ctypedef npy_uintp      uintp_t\n * \n */\ntypedef npy_intp __pyx_t_5numpy_intp_t;\n\n/* \"../../../../../../../usr/local/lib/python3.6/dist-packages/numpy/__init__.pxd\":722\n * \n * ctypedef npy_intp       intp_t\n * ctypedef npy_uintp      uintp_t             # <<<<<<<<<<<<<<\n * \n * ctypedef npy_double     float_t\n */\ntypedef npy_uintp __pyx_t_5numpy_uintp_t;\n\n/* \"../../../../../../../usr/local/lib/python3.6/dist-packages/numpy/__init__.pxd\":724\n * ctypedef npy_uintp      uintp_t\n * \n * ctypedef npy_double     float_t             # <<<<<<<<<<<<<<\n * ctypedef npy_double     double_t\n * ctypedef npy_longdouble longdouble_t\n */\ntypedef npy_double __pyx_t_5numpy_float_t;\n\n/* \"../../../../../../../usr/local/lib/python3.6/dist-packages/numpy/__init__.pxd\":725\n * \n * ctypedef npy_double     float_t\n * ctypedef npy_double     double_t             # <<<<<<<<<<<<<<\n * ctypedef npy_longdouble longdouble_t\n * \n */\ntypedef npy_double __pyx_t_5numpy_double_t;\n\n/* \"../../../../../../../usr/local/lib/python3.6/dist-packages/numpy/__init__.pxd\":726\n * ctypedef npy_double     float_t\n * ctypedef npy_double     double_t\n * ctypedef npy_longdouble longdouble_t             # <<<<<<<<<<<<<<\n * \n * ctypedef npy_cfloat      cfloat_t\n */\ntypedef npy_longdouble __pyx_t_5numpy_longdouble_t;\n/* Declarations.proto */\n#if CYTHON_CCOMPLEX\n  #ifdef __cplusplus\n    typedef ::std::complex< float > __pyx_t_float_complex;\n  #else\n    typedef float _Complex __pyx_t_float_complex;\n  #endif\n#else\n    typedef struct { float real, imag; } __pyx_t_float_complex;\n#endif\nstatic CYTHON_INLINE __pyx_t_float_complex __pyx_t_float_complex_from_parts(float, float);\n\n/* Declarations.proto */\n#if CYTHON_CCOMPLEX\n  #ifdef __cplusplus\n    typedef ::std::complex< double > __pyx_t_double_complex;\n  #else\n    typedef double _Complex __pyx_t_double_complex;\n  #endif\n#else\n    typedef struct { double real, imag; } __pyx_t_double_complex;\n#endif\nstatic CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(double, double);\n\n\n/*--- Type declarations ---*/\nstruct __pyx_array_obj;\nstruct __pyx_MemviewEnum_obj;\nstruct __pyx_memoryview_obj;\nstruct __pyx_memoryviewslice_obj;\n\n/* \"../../../../../../../usr/local/lib/python3.6/dist-packages/numpy/__init__.pxd\":728\n * ctypedef npy_longdouble longdouble_t\n * \n * ctypedef npy_cfloat      cfloat_t             # <<<<<<<<<<<<<<\n * ctypedef npy_cdouble     cdouble_t\n * ctypedef npy_clongdouble clongdouble_t\n */\ntypedef npy_cfloat __pyx_t_5numpy_cfloat_t;\n\n/* \"../../../../../../../usr/local/lib/python3.6/dist-packages/numpy/__init__.pxd\":729\n * \n * ctypedef npy_cfloat      cfloat_t\n * ctypedef npy_cdouble     cdouble_t             # <<<<<<<<<<<<<<\n * ctypedef npy_clongdouble clongdouble_t\n * \n */\ntypedef npy_cdouble __pyx_t_5numpy_cdouble_t;\n\n/* \"../../../../../../../usr/local/lib/python3.6/dist-packages/numpy/__init__.pxd\":730\n * ctypedef npy_cfloat      cfloat_t\n * ctypedef npy_cdouble     cdouble_t\n * ctypedef npy_clongdouble clongdouble_t             # <<<<<<<<<<<<<<\n * \n * ctypedef npy_cdouble     complex_t\n */\ntypedef npy_clongdouble __pyx_t_5numpy_clongdouble_t;\n\n/* \"../../../../../../../usr/local/lib/python3.6/dist-packages/numpy/__init__.pxd\":732\n * ctypedef npy_clongdouble clongdouble_t\n * \n * ctypedef npy_cdouble     complex_t             # <<<<<<<<<<<<<<\n * \n * cdef inline object PyArray_MultiIterNew1(a):\n */\ntypedef npy_cdouble __pyx_t_5numpy_complex_t;\n\n/* \"View.MemoryView\":105\n * \n * @cname(\"__pyx_array\")\n * cdef class array:             # <<<<<<<<<<<<<<\n * \n *     cdef:\n */\nstruct __pyx_array_obj {\n  PyObject_HEAD\n  struct __pyx_vtabstruct_array *__pyx_vtab;\n  char *data;\n  Py_ssize_t len;\n  char *format;\n  int ndim;\n  Py_ssize_t *_shape;\n  Py_ssize_t *_strides;\n  Py_ssize_t itemsize;\n  PyObject *mode;\n  PyObject *_format;\n  void (*callback_free_data)(void *);\n  int free_data;\n  int dtype_is_object;\n};\n\n\n/* \"View.MemoryView\":279\n * \n * @cname('__pyx_MemviewEnum')\n * cdef class Enum(object):             # <<<<<<<<<<<<<<\n *     cdef object name\n *     def __init__(self, name):\n */\nstruct __pyx_MemviewEnum_obj {\n  PyObject_HEAD\n  PyObject *name;\n};\n\n\n/* \"View.MemoryView\":330\n * \n * @cname('__pyx_memoryview')\n * cdef class memoryview(object):             # <<<<<<<<<<<<<<\n * \n *     cdef object obj\n */\nstruct __pyx_memoryview_obj {\n  PyObject_HEAD\n  struct __pyx_vtabstruct_memoryview *__pyx_vtab;\n  PyObject *obj;\n  PyObject *_size;\n  PyObject *_array_interface;\n  PyThread_type_lock lock;\n  __pyx_atomic_int acquisition_count[2];\n  __pyx_atomic_int *acquisition_count_aligned_p;\n  Py_buffer view;\n  int flags;\n  int dtype_is_object;\n  __Pyx_TypeInfo *typeinfo;\n};\n\n\n/* \"View.MemoryView\":965\n * \n * @cname('__pyx_memoryviewslice')\n * cdef class _memoryviewslice(memoryview):             # <<<<<<<<<<<<<<\n *     \"Internal class for passing memoryview slices to Python\"\n * \n */\nstruct __pyx_memoryviewslice_obj {\n  struct __pyx_memoryview_obj __pyx_base;\n  __Pyx_memviewslice from_slice;\n  PyObject *from_object;\n  PyObject *(*to_object_func)(char *);\n  int (*to_dtype_func)(char *, PyObject *);\n};\n\n\n\n/* \"View.MemoryView\":105\n * \n * @cname(\"__pyx_array\")\n * cdef class array:             # <<<<<<<<<<<<<<\n * \n *     cdef:\n */\n\nstruct __pyx_vtabstruct_array {\n  PyObject *(*get_memview)(struct __pyx_array_obj *);\n};\nstatic struct __pyx_vtabstruct_array *__pyx_vtabptr_array;\n\n\n/* \"View.MemoryView\":330\n * \n * @cname('__pyx_memoryview')\n * cdef class memoryview(object):             # <<<<<<<<<<<<<<\n * \n *     cdef object obj\n */\n\nstruct __pyx_vtabstruct_memoryview {\n  char *(*get_item_pointer)(struct __pyx_memoryview_obj *, PyObject *);\n  PyObject *(*is_slice)(struct __pyx_memoryview_obj *, PyObject *);\n  PyObject *(*setitem_slice_assignment)(struct __pyx_memoryview_obj *, PyObject *, PyObject *);\n  PyObject *(*setitem_slice_assign_scalar)(struct __pyx_memoryview_obj *, struct __pyx_memoryview_obj *, PyObject *);\n  PyObject *(*setitem_indexed)(struct __pyx_memoryview_obj *, PyObject *, PyObject *);\n  PyObject *(*convert_item_to_object)(struct __pyx_memoryview_obj *, char *);\n  PyObject *(*assign_item_from_object)(struct __pyx_memoryview_obj *, char *, PyObject *);\n};\nstatic struct __pyx_vtabstruct_memoryview *__pyx_vtabptr_memoryview;\n\n\n/* \"View.MemoryView\":965\n * \n * @cname('__pyx_memoryviewslice')\n * cdef class _memoryviewslice(memoryview):             # <<<<<<<<<<<<<<\n *     \"Internal class for passing 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UNARY_NEG_WOULD_OVERFLOW(x)\\\n        (((x) < 0) & ((unsigned long)(x) == 0-(unsigned long)(x)))\n\n/* PyDictVersioning.proto */\n#if CYTHON_USE_DICT_VERSIONS && CYTHON_USE_TYPE_SLOTS\n#define __PYX_DICT_VERSION_INIT  ((PY_UINT64_T) -1)\n#define __PYX_GET_DICT_VERSION(dict)  (((PyDictObject*)(dict))->ma_version_tag)\n#define __PYX_UPDATE_DICT_CACHE(dict, value, cache_var, version_var)\\\n    (version_var) = __PYX_GET_DICT_VERSION(dict);\\\n    (cache_var) = (value);\n#define __PYX_PY_DICT_LOOKUP_IF_MODIFIED(VAR, DICT, LOOKUP) {\\\n    static PY_UINT64_T __pyx_dict_version = 0;\\\n    static PyObject *__pyx_dict_cached_value = NULL;\\\n    if (likely(__PYX_GET_DICT_VERSION(DICT) == __pyx_dict_version)) {\\\n        (VAR) = __pyx_dict_cached_value;\\\n    } else {\\\n        (VAR) = __pyx_dict_cached_value = (LOOKUP);\\\n        __pyx_dict_version = __PYX_GET_DICT_VERSION(DICT);\\\n    }\\\n}\nstatic CYTHON_INLINE PY_UINT64_T __Pyx_get_tp_dict_version(PyObject *obj);\nstatic CYTHON_INLINE PY_UINT64_T __Pyx_get_object_dict_version(PyObject *obj);\nstatic CYTHON_INLINE int __Pyx_object_dict_version_matches(PyObject* obj, PY_UINT64_T tp_dict_version, PY_UINT64_T obj_dict_version);\n#else\n#define __PYX_GET_DICT_VERSION(dict)  (0)\n#define __PYX_UPDATE_DICT_CACHE(dict, value, cache_var, version_var)\n#define __PYX_PY_DICT_LOOKUP_IF_MODIFIED(VAR, DICT, LOOKUP)  (VAR) = (LOOKUP);\n#endif\n\n/* GetModuleGlobalName.proto */\n#if CYTHON_USE_DICT_VERSIONS\n#define __Pyx_GetModuleGlobalName(var, name)  {\\\n    static PY_UINT64_T __pyx_dict_version = 0;\\\n    static PyObject *__pyx_dict_cached_value = NULL;\\\n    (var) = (likely(__pyx_dict_version == __PYX_GET_DICT_VERSION(__pyx_d))) ?\\\n        (likely(__pyx_dict_cached_value) ? __Pyx_NewRef(__pyx_dict_cached_value) : __Pyx_GetBuiltinName(name)) :\\\n        __Pyx__GetModuleGlobalName(name, &__pyx_dict_version, &__pyx_dict_cached_value);\\\n}\n#define __Pyx_GetModuleGlobalNameUncached(var, name)  {\\\n    PY_UINT64_T __pyx_dict_version;\\\n    PyObject *__pyx_dict_cached_value;\\\n    (var) = __Pyx__GetModuleGlobalName(name, &__pyx_dict_version, &__pyx_dict_cached_value);\\\n}\nstatic PyObject *__Pyx__GetModuleGlobalName(PyObject *name, PY_UINT64_T *dict_version, PyObject **dict_cached_value);\n#else\n#define __Pyx_GetModuleGlobalName(var, name)  (var) = __Pyx__GetModuleGlobalName(name)\n#define __Pyx_GetModuleGlobalNameUncached(var, name)  (var) = __Pyx__GetModuleGlobalName(name)\nstatic CYTHON_INLINE PyObject *__Pyx__GetModuleGlobalName(PyObject *name);\n#endif\n\n/* ExtTypeTest.proto */\nstatic CYTHON_INLINE int __Pyx_TypeTest(PyObject *obj, PyTypeObject *type);\n\n#define __Pyx_BufPtrStrided4d(type, buf, i0, s0, i1, s1, i2, s2, i3, s3) (type)((char*)buf + i0 * s0 + i1 * s1 + i2 * s2 + i3 * s3)\n#define __Pyx_BufPtrStrided2d(type, buf, i0, s0, i1, s1) (type)((char*)buf + i0 * s0 + i1 * s1)\n/* ObjectGetItem.proto */\n#if CYTHON_USE_TYPE_SLOTS\nstatic CYTHON_INLINE PyObject *__Pyx_PyObject_GetItem(PyObject *obj, PyObject* key);\n#else\n#define __Pyx_PyObject_GetItem(obj, key)  PyObject_GetItem(obj, key)\n#endif\n\n#define __Pyx_BufPtrStrided6d(type, buf, i0, s0, i1, s1, i2, s2, i3, s3, i4, s4, i5, s5) (type)((char*)buf + i0 * s0 + i1 * s1 + i2 * s2 + i3 * s3 + i4 * s4 + i5 * s5)\n/* GetTopmostException.proto */\n#if CYTHON_USE_EXC_INFO_STACK\nstatic _PyErr_StackItem * __Pyx_PyErr_GetTopmostException(PyThreadState *tstate);\n#endif\n\n/* SaveResetException.proto */\n#if CYTHON_FAST_THREAD_STATE\n#define __Pyx_ExceptionSave(type, value, tb)  __Pyx__ExceptionSave(__pyx_tstate, type, value, tb)\nstatic CYTHON_INLINE void __Pyx__ExceptionSave(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb);\n#define __Pyx_ExceptionReset(type, value, tb)  __Pyx__ExceptionReset(__pyx_tstate, type, value, tb)\nstatic CYTHON_INLINE void __Pyx__ExceptionReset(PyThreadState *tstate, PyObject *type, PyObject *value, PyObject *tb);\n#else\n#define __Pyx_ExceptionSave(type, value, tb)   PyErr_GetExcInfo(type, value, tb)\n#define __Pyx_ExceptionReset(type, value, tb)  PyErr_SetExcInfo(type, value, tb)\n#endif\n\n/* PyErrExceptionMatches.proto */\n#if CYTHON_FAST_THREAD_STATE\n#define __Pyx_PyErr_ExceptionMatches(err) __Pyx_PyErr_ExceptionMatchesInState(__pyx_tstate, err)\nstatic CYTHON_INLINE int __Pyx_PyErr_ExceptionMatchesInState(PyThreadState* tstate, PyObject* err);\n#else\n#define __Pyx_PyErr_ExceptionMatches(err)  PyErr_ExceptionMatches(err)\n#endif\n\n/* GetException.proto */\n#if CYTHON_FAST_THREAD_STATE\n#define __Pyx_GetException(type, value, tb)  __Pyx__GetException(__pyx_tstate, type, value, tb)\nstatic int __Pyx__GetException(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb);\n#else\nstatic int __Pyx_GetException(PyObject **type, PyObject **value, PyObject **tb);\n#endif\n\n/* IncludeStringH.proto */\n#include <string.h>\n\n/* BytesEquals.proto */\nstatic CYTHON_INLINE int __Pyx_PyBytes_Equals(PyObject* s1, PyObject* s2, int equals);\n\n/* UnicodeEquals.proto */\nstatic CYTHON_INLINE int __Pyx_PyUnicode_Equals(PyObject* s1, PyObject* s2, int equals);\n\n/* StrEquals.proto */\n#if PY_MAJOR_VERSION >= 3\n#define __Pyx_PyString_Equals __Pyx_PyUnicode_Equals\n#else\n#define __Pyx_PyString_Equals __Pyx_PyBytes_Equals\n#endif\n\n/* None.proto */\nstatic CYTHON_INLINE Py_ssize_t __Pyx_div_Py_ssize_t(Py_ssize_t, Py_ssize_t);\n\nstatic CYTHON_UNUSED int __pyx_array_getbuffer(PyObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /*proto*/\nstatic PyObject *__pyx_array_get_memview(struct __pyx_array_obj *); /*proto*/\n/* GetAttr.proto */\nstatic CYTHON_INLINE PyObject *__Pyx_GetAttr(PyObject *, PyObject *);\n\n/* decode_c_string_utf16.proto */\nstatic CYTHON_INLINE PyObject *__Pyx_PyUnicode_DecodeUTF16(const char *s, Py_ssize_t size, const char *errors) {\n    int byteorder = 0;\n    return PyUnicode_DecodeUTF16(s, size, errors, &byteorder);\n}\nstatic CYTHON_INLINE PyObject *__Pyx_PyUnicode_DecodeUTF16LE(const char *s, Py_ssize_t size, const char *errors) {\n    int byteorder = -1;\n    return PyUnicode_DecodeUTF16(s, size, errors, &byteorder);\n}\nstatic CYTHON_INLINE PyObject *__Pyx_PyUnicode_DecodeUTF16BE(const char *s, Py_ssize_t size, const char *errors) {\n    int byteorder = 1;\n    return PyUnicode_DecodeUTF16(s, size, errors, &byteorder);\n}\n\n/* decode_c_string.proto */\nstatic CYTHON_INLINE PyObject* __Pyx_decode_c_string(\n         const char* cstring, Py_ssize_t start, Py_ssize_t stop,\n         const char* encoding, const char* errors,\n         PyObject* (*decode_func)(const char *s, Py_ssize_t size, const char *errors));\n\n/* GetAttr3.proto */\nstatic CYTHON_INLINE PyObject *__Pyx_GetAttr3(PyObject *, PyObject *, PyObject *);\n\n/* SwapException.proto */\n#if CYTHON_FAST_THREAD_STATE\n#define __Pyx_ExceptionSwap(type, value, tb)  __Pyx__ExceptionSwap(__pyx_tstate, type, value, tb)\nstatic CYTHON_INLINE void __Pyx__ExceptionSwap(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb);\n#else\nstatic CYTHON_INLINE void __Pyx_ExceptionSwap(PyObject **type, PyObject **value, PyObject **tb);\n#endif\n\n/* Import.proto */\nstatic PyObject *__Pyx_Import(PyObject *name, PyObject *from_list, int level);\n\n/* FastTypeChecks.proto */\n#if CYTHON_COMPILING_IN_CPYTHON\n#define __Pyx_TypeCheck(obj, type) __Pyx_IsSubtype(Py_TYPE(obj), (PyTypeObject *)type)\nstatic CYTHON_INLINE int __Pyx_IsSubtype(PyTypeObject *a, PyTypeObject *b);\nstatic CYTHON_INLINE int __Pyx_PyErr_GivenExceptionMatches(PyObject *err, PyObject *type);\nstatic CYTHON_INLINE int __Pyx_PyErr_GivenExceptionMatches2(PyObject *err, PyObject *type1, PyObject *type2);\n#else\n#define __Pyx_TypeCheck(obj, type) PyObject_TypeCheck(obj, (PyTypeObject *)type)\n#define __Pyx_PyErr_GivenExceptionMatches(err, type) PyErr_GivenExceptionMatches(err, type)\n#define __Pyx_PyErr_GivenExceptionMatches2(err, type1, type2) (PyErr_GivenExceptionMatches(err, type1) || PyErr_GivenExceptionMatches(err, type2))\n#endif\n#define __Pyx_PyException_Check(obj) __Pyx_TypeCheck(obj, PyExc_Exception)\n\nstatic CYTHON_UNUSED int __pyx_memoryview_getbuffer(PyObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /*proto*/\n/* ListCompAppend.proto */\n#if CYTHON_USE_PYLIST_INTERNALS && CYTHON_ASSUME_SAFE_MACROS\nstatic CYTHON_INLINE int __Pyx_ListComp_Append(PyObject* list, PyObject* x) {\n    PyListObject* L = (PyListObject*) list;\n    Py_ssize_t len = Py_SIZE(list);\n    if (likely(L->allocated > len)) {\n        Py_INCREF(x);\n        PyList_SET_ITEM(list, len, x);\n        __Pyx_SET_SIZE(list, len + 1);\n        return 0;\n    }\n    return PyList_Append(list, x);\n}\n#else\n#define __Pyx_ListComp_Append(L,x) PyList_Append(L,x)\n#endif\n\n/* PyIntBinop.proto */\n#if !CYTHON_COMPILING_IN_PYPY\nstatic PyObject* __Pyx_PyInt_AddObjC(PyObject *op1, PyObject *op2, long intval, int inplace, int zerodivision_check);\n#else\n#define __Pyx_PyInt_AddObjC(op1, op2, intval, inplace, zerodivision_check)\\\n    (inplace ? PyNumber_InPlaceAdd(op1, op2) : PyNumber_Add(op1, op2))\n#endif\n\n/* ListExtend.proto */\nstatic CYTHON_INLINE int __Pyx_PyList_Extend(PyObject* L, PyObject* v) {\n#if CYTHON_COMPILING_IN_CPYTHON\n    PyObject* none = _PyList_Extend((PyListObject*)L, v);\n    if (unlikely(!none))\n        return -1;\n    Py_DECREF(none);\n    return 0;\n#else\n    return PyList_SetSlice(L, PY_SSIZE_T_MAX, PY_SSIZE_T_MAX, v);\n#endif\n}\n\n/* None.proto */\nstatic CYTHON_INLINE void __Pyx_RaiseUnboundLocalError(const char *varname);\n\n/* ImportFrom.proto */\nstatic PyObject* __Pyx_ImportFrom(PyObject* module, PyObject* name);\n\n/* HasAttr.proto */\nstatic CYTHON_INLINE int __Pyx_HasAttr(PyObject *, PyObject *);\n\n/* PyObject_GenericGetAttrNoDict.proto */\n#if CYTHON_USE_TYPE_SLOTS && CYTHON_USE_PYTYPE_LOOKUP && PY_VERSION_HEX < 0x03070000\nstatic CYTHON_INLINE PyObject* __Pyx_PyObject_GenericGetAttrNoDict(PyObject* obj, PyObject* attr_name);\n#else\n#define __Pyx_PyObject_GenericGetAttrNoDict PyObject_GenericGetAttr\n#endif\n\n/* PyObject_GenericGetAttr.proto */\n#if CYTHON_USE_TYPE_SLOTS && CYTHON_USE_PYTYPE_LOOKUP && PY_VERSION_HEX < 0x03070000\nstatic PyObject* __Pyx_PyObject_GenericGetAttr(PyObject* obj, PyObject* attr_name);\n#else\n#define __Pyx_PyObject_GenericGetAttr PyObject_GenericGetAttr\n#endif\n\n/* SetVTable.proto */\nstatic int __Pyx_SetVtable(PyObject *dict, void *vtable);\n\n/* PyObjectGetAttrStrNoError.proto */\nstatic CYTHON_INLINE PyObject* __Pyx_PyObject_GetAttrStrNoError(PyObject* obj, PyObject* attr_name);\n\n/* SetupReduce.proto */\nstatic int __Pyx_setup_reduce(PyObject* type_obj);\n\n/* TypeImport.proto */\n#ifndef __PYX_HAVE_RT_ImportType_proto\n#define __PYX_HAVE_RT_ImportType_proto\nenum __Pyx_ImportType_CheckSize {\n   __Pyx_ImportType_CheckSize_Error = 0,\n   __Pyx_ImportType_CheckSize_Warn = 1,\n   __Pyx_ImportType_CheckSize_Ignore = 2\n};\nstatic PyTypeObject *__Pyx_ImportType(PyObject* module, const char *module_name, const char *class_name, size_t size, enum __Pyx_ImportType_CheckSize check_size);\n#endif\n\n/* FetchCommonType.proto */\nstatic PyTypeObject* __Pyx_FetchCommonType(PyTypeObject* type);\n\n/* CythonFunctionShared.proto */\n#define __Pyx_CyFunction_USED 1\n#define __Pyx_CYFUNCTION_STATICMETHOD  0x01\n#define __Pyx_CYFUNCTION_CLASSMETHOD   0x02\n#define __Pyx_CYFUNCTION_CCLASS        0x04\n#define __Pyx_CyFunction_GetClosure(f)\\\n    (((__pyx_CyFunctionObject *) (f))->func_closure)\n#define __Pyx_CyFunction_GetClassObj(f)\\\n    (((__pyx_CyFunctionObject *) (f))->func_classobj)\n#define __Pyx_CyFunction_Defaults(type, f)\\\n    ((type *)(((__pyx_CyFunctionObject *) (f))->defaults))\n#define __Pyx_CyFunction_SetDefaultsGetter(f, g)\\\n    ((__pyx_CyFunctionObject *) (f))->defaults_getter = (g)\ntypedef struct {\n    PyCFunctionObject func;\n#if PY_VERSION_HEX < 0x030500A0\n    PyObject *func_weakreflist;\n#endif\n    PyObject *func_dict;\n    PyObject *func_name;\n    PyObject *func_qualname;\n    PyObject *func_doc;\n    PyObject *func_globals;\n    PyObject *func_code;\n    PyObject *func_closure;\n    PyObject *func_classobj;\n    void *defaults;\n    int defaults_pyobjects;\n    size_t defaults_size;  // used by FusedFunction for copying defaults\n    int flags;\n    PyObject *defaults_tuple;\n    PyObject *defaults_kwdict;\n    PyObject *(*defaults_getter)(PyObject *);\n    PyObject *func_annotations;\n} __pyx_CyFunctionObject;\nstatic PyTypeObject *__pyx_CyFunctionType = 0;\n#define __Pyx_CyFunction_Check(obj)  (__Pyx_TypeCheck(obj, __pyx_CyFunctionType))\nstatic PyObject *__Pyx_CyFunction_Init(__pyx_CyFunctionObject* op, PyMethodDef *ml,\n                                      int flags, PyObject* qualname,\n                                      PyObject *self,\n                                      PyObject *module, PyObject *globals,\n                                      PyObject* code);\nstatic CYTHON_INLINE void *__Pyx_CyFunction_InitDefaults(PyObject *m,\n                                                         size_t size,\n                                                         int pyobjects);\nstatic CYTHON_INLINE void __Pyx_CyFunction_SetDefaultsTuple(PyObject *m,\n                                                            PyObject *tuple);\nstatic CYTHON_INLINE void __Pyx_CyFunction_SetDefaultsKwDict(PyObject *m,\n                                                             PyObject *dict);\nstatic CYTHON_INLINE void __Pyx_CyFunction_SetAnnotationsDict(PyObject *m,\n                                                              PyObject *dict);\nstatic int __pyx_CyFunction_init(void);\n\n/* FusedFunction.proto */\ntypedef struct {\n    __pyx_CyFunctionObject func;\n    PyObject *__signatures__;\n    PyObject *type;\n    PyObject *self;\n} __pyx_FusedFunctionObject;\nstatic PyObject *__pyx_FusedFunction_New(PyMethodDef *ml, int flags,\n                                         PyObject *qualname, PyObject *closure,\n                                         PyObject *module, PyObject *globals,\n                                         PyObject *code);\nstatic int __pyx_FusedFunction_clear(__pyx_FusedFunctionObject *self);\nstatic PyTypeObject *__pyx_FusedFunctionType = NULL;\nstatic int __pyx_FusedFunction_init(void);\n#define __Pyx_FusedFunction_USED\n\n/* CLineInTraceback.proto */\n#ifdef CYTHON_CLINE_IN_TRACEBACK\n#define __Pyx_CLineForTraceback(tstate, c_line)  (((CYTHON_CLINE_IN_TRACEBACK)) ? c_line : 0)\n#else\nstatic int __Pyx_CLineForTraceback(PyThreadState *tstate, int c_line);\n#endif\n\n/* CodeObjectCache.proto */\ntypedef struct {\n    PyCodeObject* code_object;\n    int code_line;\n} __Pyx_CodeObjectCacheEntry;\nstruct __Pyx_CodeObjectCache {\n    int count;\n    int max_count;\n    __Pyx_CodeObjectCacheEntry* entries;\n};\nstatic struct __Pyx_CodeObjectCache __pyx_code_cache = {0,0,NULL};\nstatic int __pyx_bisect_code_objects(__Pyx_CodeObjectCacheEntry* entries, int count, int code_line);\nstatic PyCodeObject *__pyx_find_code_object(int code_line);\nstatic void __pyx_insert_code_object(int code_line, PyCodeObject* code_object);\n\n/* AddTraceback.proto */\nstatic void __Pyx_AddTraceback(const char *funcname, int c_line,\n                               int py_line, const char *filename);\n\n#if PY_MAJOR_VERSION < 3\n    static int __Pyx_GetBuffer(PyObject *obj, Py_buffer *view, int flags);\n    static void __Pyx_ReleaseBuffer(Py_buffer *view);\n#else\n    #define __Pyx_GetBuffer PyObject_GetBuffer\n    #define __Pyx_ReleaseBuffer PyBuffer_Release\n#endif\n\n\n/* BufferStructDeclare.proto */\ntypedef struct {\n  Py_ssize_t shape, strides, suboffsets;\n} __Pyx_Buf_DimInfo;\ntypedef struct {\n  size_t refcount;\n  Py_buffer pybuffer;\n} __Pyx_Buffer;\ntypedef struct {\n  __Pyx_Buffer *rcbuffer;\n  char *data;\n  __Pyx_Buf_DimInfo diminfo[8];\n} __Pyx_LocalBuf_ND;\n\n/* MemviewSliceIsContig.proto */\nstatic int __pyx_memviewslice_is_contig(const __Pyx_memviewslice mvs, char order, int ndim);\n\n/* OverlappingSlices.proto */\nstatic int __pyx_slices_overlap(__Pyx_memviewslice *slice1,\n                                __Pyx_memviewslice *slice2,\n                                int ndim, size_t itemsize);\n\n/* Capsule.proto */\nstatic CYTHON_INLINE PyObject *__pyx_capsule_create(void *p, const char *sig);\n\n/* TypeInfoCompare.proto */\nstatic int __pyx_typeinfo_cmp(__Pyx_TypeInfo *a, __Pyx_TypeInfo *b);\n\n/* MemviewSliceValidateAndInit.proto */\nstatic int __Pyx_ValidateAndInit_memviewslice(\n                int *axes_specs,\n                int c_or_f_flag,\n                int buf_flags,\n                int ndim,\n                __Pyx_TypeInfo *dtype,\n                __Pyx_BufFmt_StackElem stack[],\n                __Pyx_memviewslice *memviewslice,\n                PyObject *original_obj);\n\n/* ObjectToMemviewSlice.proto */\nstatic CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dsdsdsds_nn___pyx_t_5numpy_float32_t(PyObject *, int writable_flag);\n\n/* ObjectToMemviewSlice.proto */\nstatic CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dsdsdsds_nn___pyx_t_5numpy_float64_t(PyObject *, int writable_flag);\n\n/* ObjectToMemviewSlice.proto */\nstatic CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dsds_nn___pyx_t_5numpy_float32_t(PyObject *, int writable_flag);\n\n/* ObjectToMemviewSlice.proto */\nstatic CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dsds_nn___pyx_t_5numpy_float64_t(PyObject *, int writable_flag);\n\n/* ObjectToMemviewSlice.proto */\nstatic CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dsdsdsdsdsds_nn___pyx_t_5numpy_float32_t(PyObject *, int writable_flag);\n\n/* ObjectToMemviewSlice.proto */\nstatic CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dsdsdsdsdsds_nn___pyx_t_5numpy_float64_t(PyObject *, int writable_flag);\n\n/* CIntToPy.proto */\nstatic CYTHON_INLINE PyObject* __Pyx_PyInt_From_long(long value);\n\n/* CIntToPy.proto */\nstatic CYTHON_INLINE PyObject* __Pyx_PyInt_From_int(int value);\n\n/* RealImag.proto */\n#if CYTHON_CCOMPLEX\n  #ifdef __cplusplus\n    #define __Pyx_CREAL(z) ((z).real())\n    #define __Pyx_CIMAG(z) ((z).imag())\n  #else\n    #define __Pyx_CREAL(z) (__real__(z))\n    #define __Pyx_CIMAG(z) (__imag__(z))\n  #endif\n#else\n    #define __Pyx_CREAL(z) ((z).real)\n    #define __Pyx_CIMAG(z) ((z).imag)\n#endif\n#if defined(__cplusplus) && CYTHON_CCOMPLEX\\\n        && (defined(_WIN32) || defined(__clang__) || (defined(__GNUC__) && (__GNUC__ >= 5 || __GNUC__ == 4 && __GNUC_MINOR__ >= 4 )) || __cplusplus >= 201103)\n    #define __Pyx_SET_CREAL(z,x) ((z).real(x))\n    #define __Pyx_SET_CIMAG(z,y) ((z).imag(y))\n#else\n    #define __Pyx_SET_CREAL(z,x) __Pyx_CREAL(z) = (x)\n    #define __Pyx_SET_CIMAG(z,y) __Pyx_CIMAG(z) = (y)\n#endif\n\n/* Arithmetic.proto */\n#if CYTHON_CCOMPLEX\n    #define __Pyx_c_eq_float(a, b)   ((a)==(b))\n    #define __Pyx_c_sum_float(a, b)  ((a)+(b))\n    #define __Pyx_c_diff_float(a, b) ((a)-(b))\n    #define __Pyx_c_prod_float(a, b) ((a)*(b))\n    #define __Pyx_c_quot_float(a, b) ((a)/(b))\n    #define __Pyx_c_neg_float(a)     (-(a))\n  #ifdef __cplusplus\n    #define __Pyx_c_is_zero_float(z) ((z)==(float)0)\n    #define __Pyx_c_conj_float(z)    (::std::conj(z))\n    #if 1\n        #define __Pyx_c_abs_float(z)     (::std::abs(z))\n        #define __Pyx_c_pow_float(a, b)  (::std::pow(a, b))\n    #endif\n  #else\n    #define __Pyx_c_is_zero_float(z) ((z)==0)\n    #define __Pyx_c_conj_float(z)    (conjf(z))\n    #if 1\n        #define __Pyx_c_abs_float(z)     (cabsf(z))\n        #define __Pyx_c_pow_float(a, b)  (cpowf(a, b))\n    #endif\n #endif\n#else\n    static CYTHON_INLINE int __Pyx_c_eq_float(__pyx_t_float_complex, __pyx_t_float_complex);\n    static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_sum_float(__pyx_t_float_complex, __pyx_t_float_complex);\n    static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_diff_float(__pyx_t_float_complex, __pyx_t_float_complex);\n    static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_prod_float(__pyx_t_float_complex, __pyx_t_float_complex);\n    static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_quot_float(__pyx_t_float_complex, __pyx_t_float_complex);\n    static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_neg_float(__pyx_t_float_complex);\n    static CYTHON_INLINE int __Pyx_c_is_zero_float(__pyx_t_float_complex);\n    static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_conj_float(__pyx_t_float_complex);\n    #if 1\n        static CYTHON_INLINE float __Pyx_c_abs_float(__pyx_t_float_complex);\n        static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_pow_float(__pyx_t_float_complex, __pyx_t_float_complex);\n    #endif\n#endif\n\n/* Arithmetic.proto */\n#if CYTHON_CCOMPLEX\n    #define __Pyx_c_eq_double(a, b)   ((a)==(b))\n    #define __Pyx_c_sum_double(a, b)  ((a)+(b))\n    #define __Pyx_c_diff_double(a, b) ((a)-(b))\n    #define __Pyx_c_prod_double(a, b) ((a)*(b))\n    #define __Pyx_c_quot_double(a, b) ((a)/(b))\n    #define __Pyx_c_neg_double(a)     (-(a))\n  #ifdef __cplusplus\n    #define __Pyx_c_is_zero_double(z) ((z)==(double)0)\n    #define __Pyx_c_conj_double(z)    (::std::conj(z))\n    #if 1\n        #define __Pyx_c_abs_double(z)     (::std::abs(z))\n        #define __Pyx_c_pow_double(a, b)  (::std::pow(a, b))\n    #endif\n  #else\n    #define __Pyx_c_is_zero_double(z) ((z)==0)\n    #define __Pyx_c_conj_double(z)    (conj(z))\n    #if 1\n        #define __Pyx_c_abs_double(z)     (cabs(z))\n        #define __Pyx_c_pow_double(a, b)  (cpow(a, b))\n    #endif\n #endif\n#else\n    static CYTHON_INLINE int __Pyx_c_eq_double(__pyx_t_double_complex, __pyx_t_double_complex);\n    static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_sum_double(__pyx_t_double_complex, __pyx_t_double_complex);\n    static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_diff_double(__pyx_t_double_complex, __pyx_t_double_complex);\n    static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_prod_double(__pyx_t_double_complex, __pyx_t_double_complex);\n    static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_quot_double(__pyx_t_double_complex, __pyx_t_double_complex);\n    static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_neg_double(__pyx_t_double_complex);\n    static CYTHON_INLINE int __Pyx_c_is_zero_double(__pyx_t_double_complex);\n    static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_conj_double(__pyx_t_double_complex);\n    #if 1\n        static CYTHON_INLINE double __Pyx_c_abs_double(__pyx_t_double_complex);\n        static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_pow_double(__pyx_t_double_complex, __pyx_t_double_complex);\n    #endif\n#endif\n\n/* MemviewSliceCopyTemplate.proto */\nstatic __Pyx_memviewslice\n__pyx_memoryview_copy_new_contig(const __Pyx_memviewslice *from_mvs,\n                                 const char *mode, int ndim,\n                                 size_t sizeof_dtype, int contig_flag,\n                                 int dtype_is_object);\n\n/* MemviewSliceInit.proto */\n#define __Pyx_BUF_MAX_NDIMS %(BUF_MAX_NDIMS)d\n#define __Pyx_MEMVIEW_DIRECT   1\n#define __Pyx_MEMVIEW_PTR      2\n#define __Pyx_MEMVIEW_FULL     4\n#define __Pyx_MEMVIEW_CONTIG   8\n#define __Pyx_MEMVIEW_STRIDED  16\n#define __Pyx_MEMVIEW_FOLLOW   32\n#define __Pyx_IS_C_CONTIG 1\n#define __Pyx_IS_F_CONTIG 2\nstatic int __Pyx_init_memviewslice(\n                struct __pyx_memoryview_obj *memview,\n                int ndim,\n                __Pyx_memviewslice *memviewslice,\n                int memview_is_new_reference);\nstatic CYTHON_INLINE int __pyx_add_acquisition_count_locked(\n    __pyx_atomic_int *acquisition_count, PyThread_type_lock lock);\nstatic CYTHON_INLINE int __pyx_sub_acquisition_count_locked(\n    __pyx_atomic_int *acquisition_count, PyThread_type_lock lock);\n#define __pyx_get_slice_count_pointer(memview) (memview->acquisition_count_aligned_p)\n#define __pyx_get_slice_count(memview) (*__pyx_get_slice_count_pointer(memview))\n#define __PYX_INC_MEMVIEW(slice, have_gil) __Pyx_INC_MEMVIEW(slice, have_gil, __LINE__)\n#define __PYX_XDEC_MEMVIEW(slice, have_gil) __Pyx_XDEC_MEMVIEW(slice, have_gil, __LINE__)\nstatic CYTHON_INLINE void __Pyx_INC_MEMVIEW(__Pyx_memviewslice *, int, int);\nstatic CYTHON_INLINE void __Pyx_XDEC_MEMVIEW(__Pyx_memviewslice *, int, int);\n\n/* CIntFromPy.proto */\nstatic CYTHON_INLINE int __Pyx_PyInt_As_int(PyObject *);\n\n/* BytesContains.proto */\nstatic CYTHON_INLINE int __Pyx_BytesContains(PyObject* bytes, char character);\n\n/* ImportNumPyArray.proto */\nstatic PyObject *__pyx_numpy_ndarray = NULL;\nstatic PyObject* __Pyx_ImportNumPyArrayTypeIfAvailable(void);\n\n/* CIntFromPy.proto */\nstatic CYTHON_INLINE long __Pyx_PyInt_As_long(PyObject *);\n\n/* CIntFromPy.proto */\nstatic CYTHON_INLINE char __Pyx_PyInt_As_char(PyObject *);\n\n/* CheckBinaryVersion.proto */\nstatic int __Pyx_check_binary_version(void);\n\n/* InitStrings.proto */\nstatic int __Pyx_InitStrings(__Pyx_StringTabEntry *t);\n\nstatic PyObject *__pyx_array_get_memview(struct __pyx_array_obj *__pyx_v_self); /* proto*/\nstatic char *__pyx_memoryview_get_item_pointer(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index); /* proto*/\nstatic PyObject *__pyx_memoryview_is_slice(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_obj); /* proto*/\nstatic PyObject *__pyx_memoryview_setitem_slice_assignment(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_dst, PyObject *__pyx_v_src); /* proto*/\nstatic PyObject *__pyx_memoryview_setitem_slice_assign_scalar(struct __pyx_memoryview_obj *__pyx_v_self, struct __pyx_memoryview_obj *__pyx_v_dst, PyObject *__pyx_v_value); /* proto*/\nstatic PyObject *__pyx_memoryview_setitem_indexed(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index, PyObject *__pyx_v_value); /* proto*/\nstatic PyObject *__pyx_memoryview_convert_item_to_object(struct __pyx_memoryview_obj *__pyx_v_self, char *__pyx_v_itemp); /* proto*/\nstatic PyObject *__pyx_memoryview_assign_item_from_object(struct __pyx_memoryview_obj *__pyx_v_self, char *__pyx_v_itemp, PyObject *__pyx_v_value); /* proto*/\nstatic PyObject *__pyx_memoryviewslice_convert_item_to_object(struct __pyx_memoryviewslice_obj *__pyx_v_self, char *__pyx_v_itemp); /* proto*/\nstatic PyObject *__pyx_memoryviewslice_assign_item_from_object(struct __pyx_memoryviewslice_obj *__pyx_v_self, char *__pyx_v_itemp, PyObject *__pyx_v_value); /* proto*/\n\n/* Module declarations from 'cpython.buffer' */\n\n/* Module declarations from 'libc.string' */\n\n/* Module declarations from 'libc.stdio' */\n\n/* Module declarations from '__builtin__' */\n\n/* Module declarations from 'cpython.type' */\nstatic PyTypeObject *__pyx_ptype_7cpython_4type_type = 0;\n\n/* Module declarations from 'cpython' */\n\n/* Module declarations from 'cpython.object' */\n\n/* Module declarations from 'cpython.ref' */\n\n/* Module declarations from 'cpython.mem' */\n\n/* Module declarations from 'numpy' */\n\n/* Module declarations from 'numpy' */\nstatic PyTypeObject *__pyx_ptype_5numpy_dtype = 0;\nstatic PyTypeObject *__pyx_ptype_5numpy_flatiter = 0;\nstatic PyTypeObject *__pyx_ptype_5numpy_broadcast = 0;\nstatic PyTypeObject *__pyx_ptype_5numpy_ndarray = 0;\nstatic PyTypeObject *__pyx_ptype_5numpy_ufunc = 0;\n\n/* Module declarations from 'cython' */\n\n/* Module declarations from 'im2col_cython' */\nstatic PyTypeObject *__pyx_array_type = 0;\nstatic PyTypeObject *__pyx_MemviewEnum_type = 0;\nstatic PyTypeObject *__pyx_memoryview_type = 0;\nstatic PyTypeObject *__pyx_memoryviewslice_type = 0;\nstatic PyObject *generic = 0;\nstatic PyObject *strided = 0;\nstatic PyObject *indirect = 0;\nstatic PyObject *contiguous = 0;\nstatic PyObject *indirect_contiguous = 0;\nstatic int __pyx_memoryview_thread_locks_used;\nstatic PyThread_type_lock __pyx_memoryview_thread_locks[8];\nstatic int __pyx_fuse_0__pyx_f_13im2col_cython_im2col_cython_inner(PyArrayObject *, PyArrayObject *, int, int, int, int, int, int, int, int, int, int); /*proto*/\nstatic int __pyx_fuse_1__pyx_f_13im2col_cython_im2col_cython_inner(PyArrayObject *, PyArrayObject *, int, int, int, int, int, int, int, int, int, int); /*proto*/\nstatic int __pyx_fuse_0__pyx_f_13im2col_cython_col2im_cython_inner(PyArrayObject *, PyArrayObject *, int, int, int, int, int, int, int, int, int, int); /*proto*/\nstatic int __pyx_fuse_1__pyx_f_13im2col_cython_col2im_cython_inner(PyArrayObject *, PyArrayObject *, int, int, int, int, int, int, int, int, int, int); /*proto*/\nstatic PyObject *__pyx_fuse_0__pyx_f_13im2col_cython_col2im_6d_cython_inner(PyArrayObject *, PyArrayObject *, int, int, int, int, int, int, int, int, int, int); /*proto*/\nstatic PyObject *__pyx_fuse_1__pyx_f_13im2col_cython_col2im_6d_cython_inner(PyArrayObject *, PyArrayObject *, int, int, int, int, int, int, int, int, int, int); /*proto*/\nstatic struct __pyx_array_obj *__pyx_array_new(PyObject *, Py_ssize_t, char *, char *, char *); /*proto*/\nstatic void *__pyx_align_pointer(void *, size_t); /*proto*/\nstatic PyObject *__pyx_memoryview_new(PyObject *, int, int, __Pyx_TypeInfo *); /*proto*/\nstatic CYTHON_INLINE int __pyx_memoryview_check(PyObject *); /*proto*/\nstatic PyObject *_unellipsify(PyObject *, int); /*proto*/\nstatic PyObject *assert_direct_dimensions(Py_ssize_t *, int); /*proto*/\nstatic struct __pyx_memoryview_obj *__pyx_memview_slice(struct __pyx_memoryview_obj *, PyObject *); /*proto*/\nstatic int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *, Py_ssize_t, Py_ssize_t, Py_ssize_t, int, int, int *, Py_ssize_t, Py_ssize_t, Py_ssize_t, int, int, int, int); /*proto*/\nstatic char *__pyx_pybuffer_index(Py_buffer *, char *, Py_ssize_t, Py_ssize_t); /*proto*/\nstatic int __pyx_memslice_transpose(__Pyx_memviewslice *); /*proto*/\nstatic PyObject *__pyx_memoryview_fromslice(__Pyx_memviewslice, int, PyObject *(*)(char *), int (*)(char *, PyObject *), int); /*proto*/\nstatic __Pyx_memviewslice *__pyx_memoryview_get_slice_from_memoryview(struct __pyx_memoryview_obj *, __Pyx_memviewslice *); /*proto*/\nstatic void __pyx_memoryview_slice_copy(struct __pyx_memoryview_obj *, __Pyx_memviewslice *); /*proto*/\nstatic PyObject *__pyx_memoryview_copy_object(struct __pyx_memoryview_obj *); /*proto*/\nstatic PyObject *__pyx_memoryview_copy_object_from_slice(struct __pyx_memoryview_obj *, __Pyx_memviewslice *); /*proto*/\nstatic Py_ssize_t abs_py_ssize_t(Py_ssize_t); /*proto*/\nstatic char __pyx_get_best_slice_order(__Pyx_memviewslice *, int); /*proto*/\nstatic void _copy_strided_to_strided(char *, Py_ssize_t *, char *, Py_ssize_t *, Py_ssize_t *, Py_ssize_t *, int, size_t); /*proto*/\nstatic void copy_strided_to_strided(__Pyx_memviewslice *, __Pyx_memviewslice *, int, size_t); /*proto*/\nstatic Py_ssize_t __pyx_memoryview_slice_get_size(__Pyx_memviewslice *, int); /*proto*/\nstatic Py_ssize_t __pyx_fill_contig_strides_array(Py_ssize_t *, Py_ssize_t *, Py_ssize_t, int, char); /*proto*/\nstatic void *__pyx_memoryview_copy_data_to_temp(__Pyx_memviewslice *, __Pyx_memviewslice *, char, int); /*proto*/\nstatic int __pyx_memoryview_err_extents(int, Py_ssize_t, Py_ssize_t); /*proto*/\nstatic int __pyx_memoryview_err_dim(PyObject *, char *, int); /*proto*/\nstatic int __pyx_memoryview_err(PyObject *, char *); /*proto*/\nstatic int __pyx_memoryview_copy_contents(__Pyx_memviewslice, __Pyx_memviewslice, int, int, int); /*proto*/\nstatic void __pyx_memoryview_broadcast_leading(__Pyx_memviewslice *, int, int); /*proto*/\nstatic void __pyx_memoryview_refcount_copying(__Pyx_memviewslice *, int, int, int); /*proto*/\nstatic void __pyx_memoryview_refcount_objects_in_slice_with_gil(char *, Py_ssize_t *, Py_ssize_t *, int, int); /*proto*/\nstatic void __pyx_memoryview_refcount_objects_in_slice(char *, Py_ssize_t *, Py_ssize_t *, int, int); /*proto*/\nstatic void __pyx_memoryview_slice_assign_scalar(__Pyx_memviewslice *, int, size_t, void *, int); /*proto*/\nstatic void __pyx_memoryview__slice_assign_scalar(char *, Py_ssize_t *, Py_ssize_t *, int, size_t, void *); /*proto*/\nstatic PyObject *__pyx_unpickle_Enum__set_state(struct __pyx_MemviewEnum_obj *, PyObject *); /*proto*/\nstatic __Pyx_TypeInfo __Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t = { \"float32_t\", NULL, sizeof(__pyx_t_5numpy_float32_t), { 0 }, 0, 'R', 0, 0 };\nstatic __Pyx_TypeInfo __Pyx_TypeInfo_nn___pyx_t_5numpy_float64_t = { \"float64_t\", NULL, sizeof(__pyx_t_5numpy_float64_t), { 0 }, 0, 'R', 0, 0 };\n#define __Pyx_MODULE_NAME \"im2col_cython\"\nextern int __pyx_module_is_main_im2col_cython;\nint __pyx_module_is_main_im2col_cython = 0;\n\n/* Implementation of 'im2col_cython' */\nstatic PyObject *__pyx_builtin_TypeError;\nstatic PyObject *__pyx_builtin_range;\nstatic PyObject *__pyx_builtin_ImportError;\nstatic PyObject *__pyx_builtin_ValueError;\nstatic PyObject *__pyx_builtin_MemoryError;\nstatic PyObject *__pyx_builtin_enumerate;\nstatic PyObject *__pyx_builtin_Ellipsis;\nstatic PyObject *__pyx_builtin_id;\nstatic PyObject *__pyx_builtin_IndexError;\nstatic const char __pyx_k_[] = \"()\";\nstatic const char __pyx_k_C[] = \"C\";\nstatic const char __pyx_k_H[] = \"H\";\nstatic const char __pyx_k_N[] = \"N\";\nstatic const char __pyx_k_O[] = \"O\";\nstatic const char __pyx_k_W[] = \"W\";\nstatic const char __pyx_k_c[] = \"c\";\nstatic const char __pyx_k_p[] = \"p\";\nstatic const char __pyx_k_s[] = \"s\";\nstatic const char __pyx_k_x[] = \"x\";\nstatic const char __pyx_k_HH[] = \"HH\";\nstatic const char __pyx_k_WW[] = \"WW\";\nstatic const char __pyx_k__2[] = \"|\";\nstatic const char __pyx_k_id[] = \"id\";\nstatic const char __pyx_k_np[] = \"np\";\nstatic const char __pyx_k_new[] = \"__new__\";\nstatic const char __pyx_k_obj[] = \"obj\";\nstatic const char __pyx_k_pad[] = \"pad\";\nstatic const char __pyx_k_args[] = \"args\";\nstatic const char __pyx_k_base[] = \"base\";\nstatic const char __pyx_k_cols[] = \"cols\";\nstatic const char __pyx_k_dict[] = \"__dict__\";\nstatic const char __pyx_k_kind[] = \"kind\";\nstatic const char __pyx_k_main[] = \"__main__\";\nstatic const char __pyx_k_mode[] = \"mode\";\nstatic const char __pyx_k_name[] = \"name\";\nstatic const char __pyx_k_ndim[] = \"ndim\";\nstatic const char __pyx_k_pack[] = \"pack\";\nstatic const char __pyx_k_size[] = \"size\";\nstatic const char __pyx_k_step[] = \"step\";\nstatic const char __pyx_k_stop[] = \"stop\";\nstatic const char __pyx_k_test[] = \"__test__\";\nstatic const char __pyx_k_ASCII[] = \"ASCII\";\nstatic const char __pyx_k_class[] = \"__class__\";\nstatic const char __pyx_k_dtype[] = \"dtype\";\nstatic const char __pyx_k_empty[] = \"empty\";\nstatic const char __pyx_k_error[] = \"error\";\nstatic const char __pyx_k_flags[] = \"flags\";\nstatic const char __pyx_k_numpy[] = \"numpy\";\nstatic const char __pyx_k_out_h[] = \"out_h\";\nstatic const char __pyx_k_out_w[] = \"out_w\";\nstatic const char __pyx_k_range[] = \"range\";\nstatic const char __pyx_k_shape[] = \"shape\";\nstatic const char __pyx_k_split[] = \"split\";\nstatic const char __pyx_k_start[] = \"start\";\nstatic const char __pyx_k_strip[] = \"strip\";\nstatic const char __pyx_k_zeros[] = \"zeros\";\nstatic const char __pyx_k_encode[] = \"encode\";\nstatic const char __pyx_k_format[] = \"format\";\nstatic const char __pyx_k_import[] = \"__import__\";\nstatic const char __pyx_k_kwargs[] = \"kwargs\";\nstatic const char __pyx_k_name_2[] = \"__name__\";\nstatic const char __pyx_k_pickle[] = \"pickle\";\nstatic const char __pyx_k_reduce[] = \"__reduce__\";\nstatic const char __pyx_k_stride[] = \"stride\";\nstatic const char __pyx_k_struct[] = \"struct\";\nstatic const char __pyx_k_unpack[] = \"unpack\";\nstatic const char __pyx_k_update[] = \"update\";\nstatic const char __pyx_k_fortran[] = \"fortran\";\nstatic const char __pyx_k_memview[] = \"memview\";\nstatic const char __pyx_k_padding[] = \"padding\";\nstatic const char __pyx_k_Ellipsis[] = \"Ellipsis\";\nstatic const char __pyx_k_constant[] = \"constant\";\nstatic const char __pyx_k_defaults[] = \"defaults\";\nstatic const char __pyx_k_getstate[] = \"__getstate__\";\nstatic const char __pyx_k_itemsize[] = \"itemsize\";\nstatic const char __pyx_k_pyx_type[] = \"__pyx_type\";\nstatic const char __pyx_k_setstate[] = \"__setstate__\";\nstatic const char __pyx_k_x_padded[] = \"x_padded\";\nstatic const char __pyx_k_TypeError[] = \"TypeError\";\nstatic const char __pyx_k_enumerate[] = \"enumerate\";\nstatic const char __pyx_k_float32_t[] = \"float32_t\";\nstatic const char __pyx_k_float64_t[] = \"float64_t\";\nstatic const char __pyx_k_pyx_state[] = \"__pyx_state\";\nstatic const char __pyx_k_reduce_ex[] = \"__reduce_ex__\";\nstatic const char __pyx_k_IndexError[] = \"IndexError\";\nstatic const char __pyx_k_ValueError[] = \"ValueError\";\nstatic const char __pyx_k_pyx_result[] = \"__pyx_result\";\nstatic const char __pyx_k_pyx_vtable[] = \"__pyx_vtable__\";\nstatic const char __pyx_k_signatures[] = \"signatures\";\nstatic const char __pyx_k_ImportError[] = \"ImportError\";\nstatic const char __pyx_k_MemoryError[] = \"MemoryError\";\nstatic const char __pyx_k_PickleError[] = \"PickleError\";\nstatic const char __pyx_k_field_width[] = \"field_width\";\nstatic const char __pyx_k_field_height[] = \"field_height\";\nstatic const char __pyx_k_pyx_checksum[] = \"__pyx_checksum\";\nstatic const char __pyx_k_stringsource[] = \"stringsource\";\nstatic const char __pyx_k_col2im_cython[] = \"col2im_cython\";\nstatic const char __pyx_k_im2col_cython[] = \"im2col_cython\";\nstatic const char __pyx_k_pyx_getbuffer[] = \"__pyx_getbuffer\";\nstatic const char __pyx_k_reduce_cython[] = \"__reduce_cython__\";\nstatic const char __pyx_k_View_MemoryView[] = \"View.MemoryView\";\nstatic const char __pyx_k_allocate_buffer[] = \"allocate_buffer\";\nstatic const char __pyx_k_dtype_is_object[] = \"dtype_is_object\";\nstatic const char __pyx_k_pyx_PickleError[] = \"__pyx_PickleError\";\nstatic const char __pyx_k_setstate_cython[] = \"__setstate_cython__\";\nstatic const char __pyx_k_col2im_6d_cython[] = \"col2im_6d_cython\";\nstatic const char __pyx_k_im2col_cython_pyx[] = \"im2col_cython.pyx\";\nstatic const char __pyx_k_pyx_unpickle_Enum[] = \"__pyx_unpickle_Enum\";\nstatic const char __pyx_k_cline_in_traceback[] = \"cline_in_traceback\";\nstatic const char __pyx_k_strided_and_direct[] = \"<strided and direct>\";\nstatic const char __pyx_k_strided_and_indirect[] = \"<strided and indirect>\";\nstatic const char __pyx_k_contiguous_and_direct[] = \"<contiguous and direct>\";\nstatic const char __pyx_k_MemoryView_of_r_object[] = \"<MemoryView of %r object>\";\nstatic const char __pyx_k_MemoryView_of_r_at_0x_x[] = \"<MemoryView of %r at 0x%x>\";\nstatic const char __pyx_k_contiguous_and_indirect[] = \"<contiguous and indirect>\";\nstatic const char __pyx_k_Cannot_index_with_type_s[] = \"Cannot index with type '%s'\";\nstatic const char __pyx_k_Invalid_shape_in_axis_d_d[] = \"Invalid shape in axis %d: %d.\";\nstatic const char __pyx_k_No_matching_signature_found[] = \"No matching signature found\";\nstatic const char __pyx_k_itemsize_0_for_cython_array[] = \"itemsize <= 0 for cython.array\";\nstatic const char __pyx_k_unable_to_allocate_array_data[] = \"unable to allocate array data.\";\nstatic const char __pyx_k_strided_and_direct_or_indirect[] = \"<strided and direct or indirect>\";\nstatic const char __pyx_k_numpy_core_multiarray_failed_to[] = \"numpy.core.multiarray failed to import\";\nstatic const char __pyx_k_Buffer_view_does_not_expose_stri[] = \"Buffer view does not expose strides\";\nstatic const char __pyx_k_Can_only_create_a_buffer_that_is[] = \"Can only create a buffer that is contiguous in memory.\";\nstatic const char __pyx_k_Cannot_assign_to_read_only_memor[] = \"Cannot assign to read-only memoryview\";\nstatic const char __pyx_k_Cannot_create_writable_memory_vi[] = \"Cannot create writable memory view from read-only memoryview\";\nstatic const char __pyx_k_Empty_shape_tuple_for_cython_arr[] = \"Empty shape tuple for cython.array\";\nstatic const char __pyx_k_Expected_at_least_d_argument_s_g[] = \"Expected at least %d argument%s, got %d\";\nstatic const char __pyx_k_Function_call_with_ambiguous_arg[] = \"Function call with ambiguous argument types\";\nstatic const char __pyx_k_Incompatible_checksums_s_vs_0xb0[] = \"Incompatible checksums (%s vs 0xb068931 = (name))\";\nstatic const char __pyx_k_Indirect_dimensions_not_supporte[] = \"Indirect dimensions not supported\";\nstatic const char __pyx_k_Invalid_mode_expected_c_or_fortr[] = \"Invalid mode, expected 'c' or 'fortran', got %s\";\nstatic const char __pyx_k_Out_of_bounds_on_buffer_access_a[] = \"Out of bounds on buffer access (axis %d)\";\nstatic const char __pyx_k_Unable_to_convert_item_to_object[] = \"Unable to convert item to object\";\nstatic const char __pyx_k_got_differing_extents_in_dimensi[] = \"got differing extents in dimension %d (got %d and %d)\";\nstatic const char __pyx_k_no_default___reduce___due_to_non[] = \"no default __reduce__ due to non-trivial __cinit__\";\nstatic const char __pyx_k_numpy_core_umath_failed_to_impor[] = \"numpy.core.umath failed to import\";\nstatic const char __pyx_k_unable_to_allocate_shape_and_str[] = \"unable to allocate shape and strides.\";\nstatic PyObject *__pyx_kp_s_;\nstatic PyObject *__pyx_n_s_ASCII;\nstatic PyObject *__pyx_kp_s_Buffer_view_does_not_expose_stri;\nstatic PyObject *__pyx_n_s_C;\nstatic PyObject *__pyx_kp_s_Can_only_create_a_buffer_that_is;\nstatic PyObject *__pyx_kp_s_Cannot_assign_to_read_only_memor;\nstatic PyObject *__pyx_kp_s_Cannot_create_writable_memory_vi;\nstatic PyObject *__pyx_kp_s_Cannot_index_with_type_s;\nstatic PyObject *__pyx_n_s_Ellipsis;\nstatic PyObject *__pyx_kp_s_Empty_shape_tuple_for_cython_arr;\nstatic PyObject *__pyx_kp_s_Expected_at_least_d_argument_s_g;\nstatic PyObject *__pyx_kp_s_Function_call_with_ambiguous_arg;\nstatic PyObject *__pyx_n_s_H;\nstatic PyObject *__pyx_n_s_HH;\nstatic PyObject *__pyx_n_s_ImportError;\nstatic PyObject *__pyx_kp_s_Incompatible_checksums_s_vs_0xb0;\nstatic PyObject *__pyx_n_s_IndexError;\nstatic PyObject *__pyx_kp_s_Indirect_dimensions_not_supporte;\nstatic PyObject *__pyx_kp_s_Invalid_mode_expected_c_or_fortr;\nstatic PyObject *__pyx_kp_s_Invalid_shape_in_axis_d_d;\nstatic PyObject *__pyx_n_s_MemoryError;\nstatic PyObject *__pyx_kp_s_MemoryView_of_r_at_0x_x;\nstatic PyObject *__pyx_kp_s_MemoryView_of_r_object;\nstatic PyObject *__pyx_n_s_N;\nstatic PyObject *__pyx_kp_s_No_matching_signature_found;\nstatic PyObject *__pyx_n_b_O;\nstatic PyObject *__pyx_kp_s_Out_of_bounds_on_buffer_access_a;\nstatic PyObject *__pyx_n_s_PickleError;\nstatic PyObject *__pyx_n_s_TypeError;\nstatic PyObject *__pyx_kp_s_Unable_to_convert_item_to_object;\nstatic PyObject *__pyx_n_s_ValueError;\nstatic PyObject *__pyx_n_s_View_MemoryView;\nstatic PyObject *__pyx_n_s_W;\nstatic PyObject *__pyx_n_s_WW;\nstatic PyObject *__pyx_kp_s__2;\nstatic PyObject *__pyx_n_s_allocate_buffer;\nstatic PyObject *__pyx_n_s_args;\nstatic PyObject *__pyx_n_s_base;\nstatic PyObject *__pyx_n_s_c;\nstatic PyObject *__pyx_n_u_c;\nstatic PyObject *__pyx_n_s_class;\nstatic PyObject *__pyx_n_s_cline_in_traceback;\nstatic PyObject *__pyx_n_s_col2im_6d_cython;\nstatic PyObject *__pyx_n_s_col2im_cython;\nstatic PyObject *__pyx_n_s_cols;\nstatic PyObject *__pyx_n_s_constant;\nstatic PyObject *__pyx_kp_s_contiguous_and_direct;\nstatic PyObject *__pyx_kp_s_contiguous_and_indirect;\nstatic PyObject *__pyx_n_s_defaults;\nstatic PyObject *__pyx_n_s_dict;\nstatic PyObject *__pyx_n_s_dtype;\nstatic PyObject *__pyx_n_s_dtype_is_object;\nstatic PyObject *__pyx_n_s_empty;\nstatic PyObject *__pyx_n_s_encode;\nstatic PyObject *__pyx_n_s_enumerate;\nstatic PyObject *__pyx_n_s_error;\nstatic PyObject *__pyx_n_s_field_height;\nstatic PyObject *__pyx_n_s_field_width;\nstatic PyObject *__pyx_n_s_flags;\nstatic PyObject *__pyx_n_s_float32_t;\nstatic PyObject *__pyx_n_s_float64_t;\nstatic PyObject *__pyx_n_s_format;\nstatic PyObject *__pyx_n_s_fortran;\nstatic PyObject *__pyx_n_u_fortran;\nstatic PyObject *__pyx_n_s_getstate;\nstatic PyObject *__pyx_kp_s_got_differing_extents_in_dimensi;\nstatic PyObject *__pyx_n_s_id;\nstatic PyObject *__pyx_n_s_im2col_cython;\nstatic PyObject *__pyx_kp_s_im2col_cython_pyx;\nstatic PyObject *__pyx_n_s_import;\nstatic PyObject *__pyx_n_s_itemsize;\nstatic PyObject *__pyx_kp_s_itemsize_0_for_cython_array;\nstatic PyObject *__pyx_n_s_kind;\nstatic PyObject *__pyx_n_s_kwargs;\nstatic PyObject *__pyx_n_s_main;\nstatic PyObject *__pyx_n_s_memview;\nstatic PyObject *__pyx_n_s_mode;\nstatic PyObject *__pyx_n_s_name;\nstatic PyObject *__pyx_n_s_name_2;\nstatic PyObject *__pyx_n_s_ndim;\nstatic PyObject *__pyx_n_s_new;\nstatic PyObject *__pyx_kp_s_no_default___reduce___due_to_non;\nstatic PyObject *__pyx_n_s_np;\nstatic PyObject *__pyx_n_s_numpy;\nstatic PyObject *__pyx_kp_s_numpy_core_multiarray_failed_to;\nstatic PyObject *__pyx_kp_s_numpy_core_umath_failed_to_impor;\nstatic PyObject *__pyx_n_s_obj;\nstatic PyObject *__pyx_n_s_out_h;\nstatic PyObject *__pyx_n_s_out_w;\nstatic PyObject *__pyx_n_s_p;\nstatic PyObject *__pyx_n_s_pack;\nstatic PyObject *__pyx_n_s_pad;\nstatic PyObject *__pyx_n_s_padding;\nstatic PyObject *__pyx_n_s_pickle;\nstatic PyObject *__pyx_n_s_pyx_PickleError;\nstatic PyObject *__pyx_n_s_pyx_checksum;\nstatic PyObject *__pyx_n_s_pyx_getbuffer;\nstatic PyObject *__pyx_n_s_pyx_result;\nstatic PyObject *__pyx_n_s_pyx_state;\nstatic PyObject *__pyx_n_s_pyx_type;\nstatic PyObject *__pyx_n_s_pyx_unpickle_Enum;\nstatic PyObject *__pyx_n_s_pyx_vtable;\nstatic PyObject *__pyx_n_s_range;\nstatic PyObject *__pyx_n_s_reduce;\nstatic PyObject *__pyx_n_s_reduce_cython;\nstatic PyObject *__pyx_n_s_reduce_ex;\nstatic PyObject *__pyx_n_s_s;\nstatic PyObject *__pyx_n_s_setstate;\nstatic PyObject *__pyx_n_s_setstate_cython;\nstatic PyObject *__pyx_n_s_shape;\nstatic PyObject *__pyx_n_s_signatures;\nstatic PyObject *__pyx_n_s_size;\nstatic PyObject *__pyx_n_s_split;\nstatic PyObject *__pyx_n_s_start;\nstatic PyObject *__pyx_n_s_step;\nstatic PyObject *__pyx_n_s_stop;\nstatic PyObject *__pyx_n_s_stride;\nstatic PyObject *__pyx_kp_s_strided_and_direct;\nstatic PyObject *__pyx_kp_s_strided_and_direct_or_indirect;\nstatic PyObject *__pyx_kp_s_strided_and_indirect;\nstatic PyObject *__pyx_kp_s_stringsource;\nstatic PyObject *__pyx_n_s_strip;\nstatic PyObject *__pyx_n_s_struct;\nstatic PyObject *__pyx_n_s_test;\nstatic PyObject *__pyx_kp_s_unable_to_allocate_array_data;\nstatic PyObject *__pyx_kp_s_unable_to_allocate_shape_and_str;\nstatic PyObject *__pyx_n_s_unpack;\nstatic PyObject *__pyx_n_s_update;\nstatic PyObject *__pyx_n_s_x;\nstatic PyObject *__pyx_n_s_x_padded;\nstatic PyObject *__pyx_n_s_zeros;\nstatic PyObject *__pyx_pf_13im2col_cython_im2col_cython(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_signatures, PyObject *__pyx_v_args, PyObject *__pyx_v_kwargs, CYTHON_UNUSED PyObject *__pyx_v_defaults); /* proto */\nstatic PyObject *__pyx_pf_13im2col_cython_6im2col_cython(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_x, int __pyx_v_field_height, int __pyx_v_field_width, int __pyx_v_padding, int __pyx_v_stride); /* proto */\nstatic PyObject *__pyx_pf_13im2col_cython_8im2col_cython(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_x, int __pyx_v_field_height, int __pyx_v_field_width, int __pyx_v_padding, int __pyx_v_stride); /* proto */\nstatic PyObject *__pyx_pf_13im2col_cython_2col2im_cython(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_signatures, PyObject *__pyx_v_args, PyObject *__pyx_v_kwargs, CYTHON_UNUSED PyObject *__pyx_v_defaults); /* proto */\nstatic PyObject *__pyx_pf_13im2col_cython_12col2im_cython(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_cols, int __pyx_v_N, int __pyx_v_C, int __pyx_v_H, int __pyx_v_W, int __pyx_v_field_height, int __pyx_v_field_width, int __pyx_v_padding, int __pyx_v_stride); /* proto */\nstatic PyObject *__pyx_pf_13im2col_cython_14col2im_cython(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_cols, int __pyx_v_N, int __pyx_v_C, int __pyx_v_H, int __pyx_v_W, int __pyx_v_field_height, int __pyx_v_field_width, int __pyx_v_padding, int __pyx_v_stride); /* proto */\nstatic PyObject *__pyx_pf_13im2col_cython_4col2im_6d_cython(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_signatures, PyObject *__pyx_v_args, PyObject *__pyx_v_kwargs, CYTHON_UNUSED PyObject *__pyx_v_defaults); /* proto */\nstatic PyObject *__pyx_pf_13im2col_cython_18col2im_6d_cython(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_cols, int __pyx_v_N, int __pyx_v_C, int __pyx_v_H, int __pyx_v_W, int __pyx_v_HH, int __pyx_v_WW, int __pyx_v_pad, int __pyx_v_stride); /* proto */\nstatic PyObject *__pyx_pf_13im2col_cython_20col2im_6d_cython(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_cols, int __pyx_v_N, int __pyx_v_C, int __pyx_v_H, int __pyx_v_W, int __pyx_v_HH, int __pyx_v_WW, int __pyx_v_pad, int __pyx_v_stride); /* proto */\nstatic int __pyx_array___pyx_pf_15View_dot_MemoryView_5array___cinit__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_shape, Py_ssize_t __pyx_v_itemsize, PyObject *__pyx_v_format, PyObject *__pyx_v_mode, int __pyx_v_allocate_buffer); /* proto */\nstatic int __pyx_array___pyx_pf_15View_dot_MemoryView_5array_2__getbuffer__(struct __pyx_array_obj *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /* proto */\nstatic void __pyx_array___pyx_pf_15View_dot_MemoryView_5array_4__dealloc__(struct __pyx_array_obj *__pyx_v_self); /* proto */\nstatic PyObject *__pyx_pf_15View_dot_MemoryView_5array_7memview___get__(struct __pyx_array_obj *__pyx_v_self); /* proto */\nstatic Py_ssize_t __pyx_array___pyx_pf_15View_dot_MemoryView_5array_6__len__(struct __pyx_array_obj *__pyx_v_self); /* proto */\nstatic PyObject *__pyx_array___pyx_pf_15View_dot_MemoryView_5array_8__getattr__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_attr); /* proto */\nstatic PyObject *__pyx_array___pyx_pf_15View_dot_MemoryView_5array_10__getitem__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_item); /* proto */\nstatic int __pyx_array___pyx_pf_15View_dot_MemoryView_5array_12__setitem__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_item, PyObject *__pyx_v_value); /* proto */\nstatic PyObject *__pyx_pf___pyx_array___reduce_cython__(CYTHON_UNUSED struct __pyx_array_obj *__pyx_v_self); /* proto */\nstatic PyObject *__pyx_pf___pyx_array_2__setstate_cython__(CYTHON_UNUSED struct __pyx_array_obj *__pyx_v_self, CYTHON_UNUSED PyObject *__pyx_v___pyx_state); /* proto */\nstatic int __pyx_MemviewEnum___pyx_pf_15View_dot_MemoryView_4Enum___init__(struct __pyx_MemviewEnum_obj *__pyx_v_self, PyObject *__pyx_v_name); /* proto */\nstatic PyObject *__pyx_MemviewEnum___pyx_pf_15View_dot_MemoryView_4Enum_2__repr__(struct __pyx_MemviewEnum_obj *__pyx_v_self); /* proto */\nstatic PyObject *__pyx_pf___pyx_MemviewEnum___reduce_cython__(struct __pyx_MemviewEnum_obj *__pyx_v_self); /* proto */\nstatic PyObject *__pyx_pf___pyx_MemviewEnum_2__setstate_cython__(struct __pyx_MemviewEnum_obj *__pyx_v_self, PyObject *__pyx_v___pyx_state); /* proto */\nstatic int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview___cinit__(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_obj, int __pyx_v_flags, int __pyx_v_dtype_is_object); /* proto */\nstatic void __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_2__dealloc__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */\nstatic PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_4__getitem__(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index); /* proto */\nstatic int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_6__setitem__(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index, PyObject *__pyx_v_value); /* proto */\nstatic int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_8__getbuffer__(struct __pyx_memoryview_obj *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /* proto */\nstatic PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_1T___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */\nstatic PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_4base___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */\nstatic PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_5shape___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */\nstatic PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_7strides___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */\nstatic PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_10suboffsets___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */\nstatic PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_4ndim___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */\nstatic PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_8itemsize___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */\nstatic PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_6nbytes___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */\nstatic PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_4size___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */\nstatic Py_ssize_t __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_10__len__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */\nstatic PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_12__repr__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */\nstatic PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_14__str__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */\nstatic PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_16is_c_contig(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */\nstatic PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_18is_f_contig(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */\nstatic PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_20copy(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */\nstatic PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_22copy_fortran(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */\nstatic PyObject *__pyx_pf___pyx_memoryview___reduce_cython__(CYTHON_UNUSED struct __pyx_memoryview_obj *__pyx_v_self); /* proto */\nstatic PyObject *__pyx_pf___pyx_memoryview_2__setstate_cython__(CYTHON_UNUSED struct __pyx_memoryview_obj *__pyx_v_self, CYTHON_UNUSED PyObject *__pyx_v___pyx_state); /* proto */\nstatic void __pyx_memoryviewslice___pyx_pf_15View_dot_MemoryView_16_memoryviewslice___dealloc__(struct __pyx_memoryviewslice_obj *__pyx_v_self); /* proto */\nstatic PyObject *__pyx_pf_15View_dot_MemoryView_16_memoryviewslice_4base___get__(struct __pyx_memoryviewslice_obj *__pyx_v_self); /* proto */\nstatic PyObject *__pyx_pf___pyx_memoryviewslice___reduce_cython__(CYTHON_UNUSED struct __pyx_memoryviewslice_obj *__pyx_v_self); /* proto */\nstatic PyObject *__pyx_pf___pyx_memoryviewslice_2__setstate_cython__(CYTHON_UNUSED struct __pyx_memoryviewslice_obj *__pyx_v_self, CYTHON_UNUSED PyObject *__pyx_v___pyx_state); /* proto */\nstatic PyObject *__pyx_pf_15View_dot_MemoryView___pyx_unpickle_Enum(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v___pyx_type, long __pyx_v___pyx_checksum, PyObject 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Py_INCREF(Py_None)\n */\n    __pyx_t_1 = ((((PyObject *)__pyx_v_self->view.obj) == NULL) != 0);\n    if (__pyx_t_1) {\n\n      /* \"View.MemoryView\":351\n *             __Pyx_GetBuffer(obj, &self.view, flags)\n *             if <PyObject *> self.view.obj == NULL:\n *                 (<__pyx_buffer *> &self.view).obj = Py_None             # <<<<<<<<<<<<<<\n *                 Py_INCREF(Py_None)\n * \n */\n      ((Py_buffer *)(&__pyx_v_self->view))->obj = Py_None;\n\n      /* \"View.MemoryView\":352\n *             if <PyObject *> self.view.obj == NULL:\n *                 (<__pyx_buffer *> &self.view).obj = Py_None\n *                 Py_INCREF(Py_None)             # <<<<<<<<<<<<<<\n * \n *         global __pyx_memoryview_thread_locks_used\n */\n      Py_INCREF(Py_None);\n\n      /* \"View.MemoryView\":350\n *         if type(self) is memoryview or obj is not None:\n *             __Pyx_GetBuffer(obj, &self.view, flags)\n *             if <PyObject *> self.view.obj == NULL:             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THREAD_LOCKS_PREALLOCATED:             # <<<<<<<<<<<<<<\n *             self.lock = __pyx_memoryview_thread_locks[__pyx_memoryview_thread_locks_used]\n *             __pyx_memoryview_thread_locks_used += 1\n */\n  }\n\n  /* \"View.MemoryView\":358\n *             self.lock = __pyx_memoryview_thread_locks[__pyx_memoryview_thread_locks_used]\n *             __pyx_memoryview_thread_locks_used += 1\n *         if self.lock is NULL:             # <<<<<<<<<<<<<<\n *             self.lock = PyThread_allocate_lock()\n *             if self.lock is NULL:\n */\n  __pyx_t_1 = ((__pyx_v_self->lock == NULL) != 0);\n  if (__pyx_t_1) {\n\n    /* \"View.MemoryView\":359\n *             __pyx_memoryview_thread_locks_used += 1\n *         if self.lock is NULL:\n *             self.lock = PyThread_allocate_lock()             # <<<<<<<<<<<<<<\n *             if self.lock is NULL:\n *                 raise MemoryError\n */\n    __pyx_v_self->lock = PyThread_allocate_lock();\n\n    /* \"View.MemoryView\":360\n *         if self.lock is NULL:\n *             self.lock = PyThread_allocate_lock()\n *             if self.lock is NULL:             # <<<<<<<<<<<<<<\n *                 raise MemoryError\n * \n */\n    __pyx_t_1 = ((__pyx_v_self->lock == NULL) != 0);\n    if (unlikely(__pyx_t_1)) {\n\n      /* \"View.MemoryView\":361\n *             self.lock = PyThread_allocate_lock()\n *             if self.lock is NULL:\n *                 raise MemoryError             # <<<<<<<<<<<<<<\n * \n *         if flags & PyBUF_FORMAT:\n */\n      PyErr_NoMemory(); __PYX_ERR(2, 361, __pyx_L1_error)\n\n      /* \"View.MemoryView\":360\n *         if self.lock is NULL:\n *             self.lock = PyThread_allocate_lock()\n *             if self.lock is NULL:             # <<<<<<<<<<<<<<\n *                 raise MemoryError\n * \n */\n    }\n\n    /* \"View.MemoryView\":358\n *             self.lock = __pyx_memoryview_thread_locks[__pyx_memoryview_thread_locks_used]\n *             __pyx_memoryview_thread_locks_used += 1\n *         if self.lock is NULL:             # <<<<<<<<<<<<<<\n *             self.lock = PyThread_allocate_lock()\n *             if self.lock is NULL:\n */\n  }\n\n  /* \"View.MemoryView\":363\n *                 raise MemoryError\n * \n *         if flags & PyBUF_FORMAT:             # <<<<<<<<<<<<<<\n *             self.dtype_is_object = (self.view.format[0] == b'O' and self.view.format[1] == b'\\0')\n *         else:\n */\n  __pyx_t_1 = ((__pyx_v_flags & PyBUF_FORMAT) != 0);\n  if (__pyx_t_1) {\n\n    /* \"View.MemoryView\":364\n * \n *         if flags & PyBUF_FORMAT:\n *             self.dtype_is_object = (self.view.format[0] == b'O' and self.view.format[1] == b'\\0')             # <<<<<<<<<<<<<<\n *         else:\n *             self.dtype_is_object = dtype_is_object\n */\n    __pyx_t_2 = (((__pyx_v_self->view.format[0]) == 'O') != 0);\n    if (__pyx_t_2) {\n    } else {\n      __pyx_t_1 = __pyx_t_2;\n      goto __pyx_L11_bool_binop_done;\n    }\n    __pyx_t_2 = (((__pyx_v_self->view.format[1]) == '\\x00') != 0);\n    __pyx_t_1 = __pyx_t_2;\n    __pyx_L11_bool_binop_done:;\n    __pyx_v_self->dtype_is_object = __pyx_t_1;\n\n    /* \"View.MemoryView\":363\n *                 raise MemoryError\n * \n *         if flags & PyBUF_FORMAT:             # <<<<<<<<<<<<<<\n *             self.dtype_is_object = (self.view.format[0] == b'O' and self.view.format[1] == b'\\0')\n *         else:\n */\n    goto __pyx_L10;\n  }\n\n  /* \"View.MemoryView\":366\n *             self.dtype_is_object = (self.view.format[0] == b'O' and self.view.format[1] == b'\\0')\n *         else:\n *             self.dtype_is_object = dtype_is_object             # <<<<<<<<<<<<<<\n * \n *         self.acquisition_count_aligned_p = <__pyx_atomic_int *> align_pointer(\n */\n  /*else*/ {\n    __pyx_v_self->dtype_is_object = __pyx_v_dtype_is_object;\n  }\n  __pyx_L10:;\n\n  /* \"View.MemoryView\":368\n *             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__Pyx_RefNannyFinishContext();\n}\n\nstatic void __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_2__dealloc__(struct __pyx_memoryview_obj *__pyx_v_self) {\n  int __pyx_v_i;\n  __Pyx_RefNannyDeclarations\n  int __pyx_t_1;\n  int __pyx_t_2;\n  int __pyx_t_3;\n  int __pyx_t_4;\n  int __pyx_t_5;\n  PyThread_type_lock __pyx_t_6;\n  PyThread_type_lock __pyx_t_7;\n  __Pyx_RefNannySetupContext(\"__dealloc__\", 0);\n\n  /* \"View.MemoryView\":373\n * \n *     def __dealloc__(memoryview self):\n *         if self.obj is not None:             # <<<<<<<<<<<<<<\n *             __Pyx_ReleaseBuffer(&self.view)\n *         elif (<__pyx_buffer *> &self.view).obj == Py_None:\n */\n  __pyx_t_1 = (__pyx_v_self->obj != Py_None);\n  __pyx_t_2 = (__pyx_t_1 != 0);\n  if (__pyx_t_2) {\n\n    /* \"View.MemoryView\":374\n *     def __dealloc__(memoryview self):\n *         if self.obj is not None:\n *             __Pyx_ReleaseBuffer(&self.view)             # <<<<<<<<<<<<<<\n *         elif 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(__pyx_v_p_dst->suboffsets[__pyx_v_new_ndim]) = -1L;\n\n      /* \"View.MemoryView\":758\n *             p_dst.strides[new_ndim] = 0\n *             p_dst.suboffsets[new_ndim] = -1\n *             new_ndim += 1             # <<<<<<<<<<<<<<\n *         else:\n *             start = index.start or 0\n */\n      __pyx_v_new_ndim = (__pyx_v_new_ndim + 1);\n\n      /* \"View.MemoryView\":754\n *                 0, 0, 0, # have_{start,stop,step}\n *                 False)\n *         elif index is None:             # <<<<<<<<<<<<<<\n *             p_dst.shape[new_ndim] = 1\n *             p_dst.strides[new_ndim] = 0\n */\n      goto __pyx_L6;\n    }\n\n    /* \"View.MemoryView\":760\n *             new_ndim += 1\n *         else:\n *             start = index.start or 0             # <<<<<<<<<<<<<<\n *             stop = index.stop or 0\n *             step = index.step or 0\n */\n    /*else*/ {\n      __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_v_index, __pyx_n_s_start); if 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__pyx_t_1 = __Pyx_TypeCheck(((PyObject *)__pyx_v_memview), __pyx_memoryviewslice_type); \n  __pyx_t_2 = (__pyx_t_1 != 0);\n  if (__pyx_t_2) {\n\n    /* \"View.MemoryView\":777\n * \n *     if isinstance(memview, _memoryviewslice):\n *         return memoryview_fromslice(dst, new_ndim,             # <<<<<<<<<<<<<<\n *                                     memviewsliceobj.to_object_func,\n *                                     memviewsliceobj.to_dtype_func,\n */\n    __Pyx_XDECREF(((PyObject *)__pyx_r));\n\n    /* \"View.MemoryView\":778\n *     if isinstance(memview, _memoryviewslice):\n *         return memoryview_fromslice(dst, new_ndim,\n *                                     memviewsliceobj.to_object_func,             # <<<<<<<<<<<<<<\n *                                     memviewsliceobj.to_dtype_func,\n *                                     memview.dtype_is_object)\n */\n    if (unlikely(!__pyx_v_memviewsliceobj)) { __Pyx_RaiseUnboundLocalError(\"memviewsliceobj\"); __PYX_ERR(2, 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@cname('__pyx_memview_slice')\n * cdef memoryview memview_slice(memoryview memview, object indices):             # <<<<<<<<<<<<<<\n *     cdef int new_ndim = 0, suboffset_dim = -1, dim\n *     cdef bint negative_step\n */\n\n  /* function exit code */\n  __pyx_L1_error:;\n  __Pyx_XDECREF(__pyx_t_3);\n  __Pyx_XDECREF(__pyx_t_9);\n  __Pyx_AddTraceback(\"View.MemoryView.memview_slice\", __pyx_clineno, __pyx_lineno, __pyx_filename);\n  __pyx_r = 0;\n  __pyx_L0:;\n  __Pyx_XDECREF((PyObject *)__pyx_v_memviewsliceobj);\n  __Pyx_XDECREF(__pyx_v_index);\n  __Pyx_XGIVEREF((PyObject *)__pyx_r);\n  __Pyx_RefNannyFinishContext();\n  return __pyx_r;\n}\n\n/* \"View.MemoryView\":807\n * \n * @cname('__pyx_memoryview_slice_memviewslice')\n * cdef int slice_memviewslice(             # <<<<<<<<<<<<<<\n *         __Pyx_memviewslice *dst,\n *         Py_ssize_t shape, Py_ssize_t stride, Py_ssize_t suboffset,\n */\n\nstatic int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, Py_ssize_t __pyx_v_shape, Py_ssize_t __pyx_v_stride, Py_ssize_t __pyx_v_suboffset, int __pyx_v_dim, int __pyx_v_new_ndim, int *__pyx_v_suboffset_dim, Py_ssize_t __pyx_v_start, Py_ssize_t __pyx_v_stop, Py_ssize_t __pyx_v_step, int __pyx_v_have_start, int __pyx_v_have_stop, int __pyx_v_have_step, int __pyx_v_is_slice) {\n  Py_ssize_t __pyx_v_new_shape;\n  int __pyx_v_negative_step;\n  int __pyx_r;\n  int __pyx_t_1;\n  int __pyx_t_2;\n  int __pyx_t_3;\n  int __pyx_lineno = 0;\n  const char *__pyx_filename = NULL;\n  int __pyx_clineno = 0;\n\n  /* \"View.MemoryView\":827\n *     cdef bint negative_step\n * \n *     if not is_slice:             # <<<<<<<<<<<<<<\n * \n *         if start < 0:\n */\n  __pyx_t_1 = ((!(__pyx_v_is_slice != 0)) != 0);\n  if (__pyx_t_1) {\n\n    /* \"View.MemoryView\":829\n *     if not is_slice:\n * \n *         if start < 0:             # <<<<<<<<<<<<<<\n *             start += shape\n *         if not 0 <= start < shape:\n */\n    __pyx_t_1 = ((__pyx_v_start < 0) != 0);\n    if (__pyx_t_1) {\n\n      /* \"View.MemoryView\":830\n * \n *         if start < 0:\n *             start += shape             # <<<<<<<<<<<<<<\n *         if not 0 <= start < shape:\n *             _err_dim(IndexError, \"Index out of bounds (axis %d)\", dim)\n */\n      __pyx_v_start = (__pyx_v_start + __pyx_v_shape);\n\n      /* \"View.MemoryView\":829\n *     if not is_slice:\n * \n *         if start < 0:             # <<<<<<<<<<<<<<\n *             start += shape\n *         if not 0 <= start < shape:\n */\n    }\n\n    /* \"View.MemoryView\":831\n *         if start < 0:\n *             start += shape\n *         if not 0 <= start < shape:             # <<<<<<<<<<<<<<\n *             _err_dim(IndexError, \"Index out of bounds (axis %d)\", dim)\n *     else:\n */\n    __pyx_t_1 = (0 <= __pyx_v_start);\n    if (__pyx_t_1) {\n      __pyx_t_1 = (__pyx_v_start < __pyx_v_shape);\n    }\n    __pyx_t_2 = ((!(__pyx_t_1 != 0)) != 0);\n    if (__pyx_t_2) {\n\n      /* \"View.MemoryView\":832\n *             start += shape\n *         if not 0 <= start < shape:\n *             _err_dim(IndexError, \"Index out of bounds (axis %d)\", dim)             # <<<<<<<<<<<<<<\n *     else:\n * \n */\n      __pyx_t_3 = __pyx_memoryview_err_dim(__pyx_builtin_IndexError, ((char *)\"Index out of bounds (axis %d)\"), __pyx_v_dim); if (unlikely(__pyx_t_3 == ((int)-1))) __PYX_ERR(2, 832, __pyx_L1_error)\n\n      /* \"View.MemoryView\":831\n *         if start < 0:\n *             start += shape\n *         if not 0 <= start < shape:             # <<<<<<<<<<<<<<\n *             _err_dim(IndexError, \"Index out of bounds (axis %d)\", dim)\n *     else:\n */\n    }\n\n    /* \"View.MemoryView\":827\n *     cdef bint negative_step\n * \n *     if not is_slice:             # <<<<<<<<<<<<<<\n * \n *         if start < 0:\n */\n    goto __pyx_L3;\n  }\n\n  /* \"View.MemoryView\":835\n *     else:\n * \n *         negative_step = have_step != 0 and step < 0             # <<<<<<<<<<<<<<\n * \n *         if have_step and step == 0:\n */\n  /*else*/ {\n    __pyx_t_1 = ((__pyx_v_have_step != 0) != 0);\n    if (__pyx_t_1) {\n    } else {\n      __pyx_t_2 = __pyx_t_1;\n      goto __pyx_L6_bool_binop_done;\n    }\n    __pyx_t_1 = ((__pyx_v_step < 0) != 0);\n    __pyx_t_2 = __pyx_t_1;\n    __pyx_L6_bool_binop_done:;\n    __pyx_v_negative_step = __pyx_t_2;\n\n    /* \"View.MemoryView\":837\n *         negative_step = have_step != 0 and step < 0\n * \n *         if have_step and step == 0:             # <<<<<<<<<<<<<<\n *             _err_dim(ValueError, \"Step may not be zero (axis %d)\", dim)\n * \n */\n    __pyx_t_1 = (__pyx_v_have_step != 0);\n    if (__pyx_t_1) {\n    } else {\n      __pyx_t_2 = __pyx_t_1;\n      goto __pyx_L9_bool_binop_done;\n    }\n    __pyx_t_1 = ((__pyx_v_step == 0) != 0);\n    __pyx_t_2 = __pyx_t_1;\n    __pyx_L9_bool_binop_done:;\n    if (__pyx_t_2) {\n\n      /* \"View.MemoryView\":838\n * \n *         if have_step and step == 0:\n *             _err_dim(ValueError, \"Step may not be zero (axis %d)\", dim)             # <<<<<<<<<<<<<<\n * \n * \n */\n      __pyx_t_3 = __pyx_memoryview_err_dim(__pyx_builtin_ValueError, ((char *)\"Step may not be zero (axis %d)\"), __pyx_v_dim); if (unlikely(__pyx_t_3 == ((int)-1))) __PYX_ERR(2, 838, __pyx_L1_error)\n\n      /* \"View.MemoryView\":837\n *         negative_step = have_step != 0 and step < 0\n * \n *         if have_step and step == 0:             # <<<<<<<<<<<<<<\n *             _err_dim(ValueError, \"Step may not be zero (axis %d)\", dim)\n * \n */\n    }\n\n    /* \"View.MemoryView\":841\n * \n * \n *         if have_start:             # <<<<<<<<<<<<<<\n *             if start < 0:\n *                 start += shape\n */\n    __pyx_t_2 = (__pyx_v_have_start != 0);\n    if (__pyx_t_2) {\n\n      /* \"View.MemoryView\":842\n * \n *         if have_start:\n *             if start < 0:             # <<<<<<<<<<<<<<\n *                 start += shape\n *                 if start < 0:\n */\n      __pyx_t_2 = ((__pyx_v_start < 0) != 0);\n      if (__pyx_t_2) {\n\n        /* \"View.MemoryView\":843\n *         if have_start:\n *             if start < 0:\n *                 start += shape             # <<<<<<<<<<<<<<\n *                 if start < 0:\n *                     start = 0\n */\n        __pyx_v_start = (__pyx_v_start + __pyx_v_shape);\n\n        /* \"View.MemoryView\":844\n *             if start < 0:\n *                 start += shape\n *                 if start < 0:             # <<<<<<<<<<<<<<\n *                     start = 0\n *             elif start >= shape:\n */\n        __pyx_t_2 = ((__pyx_v_start < 0) != 0);\n        if (__pyx_t_2) {\n\n          /* \"View.MemoryView\":845\n *                 start += shape\n *                 if start < 0:\n *                     start = 0             # <<<<<<<<<<<<<<\n *             elif start >= shape:\n *                 if negative_step:\n */\n          __pyx_v_start = 0;\n\n          /* \"View.MemoryView\":844\n *             if start < 0:\n *                 start += shape\n *                 if start < 0:             # <<<<<<<<<<<<<<\n *                     start = 0\n *             elif start >= shape:\n */\n        }\n\n        /* \"View.MemoryView\":842\n * \n *         if have_start:\n *             if start < 0:             # <<<<<<<<<<<<<<\n *                 start += shape\n *                 if start < 0:\n */\n        goto __pyx_L12;\n      }\n\n      /* \"View.MemoryView\":846\n *                 if start < 0:\n *                     start = 0\n *             elif start >= shape:             # <<<<<<<<<<<<<<\n *                 if negative_step:\n *                     start = shape - 1\n */\n      __pyx_t_2 = ((__pyx_v_start >= __pyx_v_shape) != 0);\n      if (__pyx_t_2) {\n\n        /* \"View.MemoryView\":847\n *                     start = 0\n *             elif start >= shape:\n *                 if negative_step:             # <<<<<<<<<<<<<<\n *                     start = shape - 1\n *                 else:\n */\n        __pyx_t_2 = (__pyx_v_negative_step != 0);\n        if (__pyx_t_2) {\n\n          /* \"View.MemoryView\":848\n *             elif start >= shape:\n *                 if negative_step:\n *                     start = shape - 1             # <<<<<<<<<<<<<<\n *                 else:\n *                     start = shape\n */\n          __pyx_v_start = (__pyx_v_shape - 1);\n\n          /* \"View.MemoryView\":847\n *                     start = 0\n *             elif start >= shape:\n *                 if negative_step:             # <<<<<<<<<<<<<<\n *                     start = shape - 1\n *                 else:\n */\n          goto __pyx_L14;\n        }\n\n        /* \"View.MemoryView\":850\n *                     start = shape - 1\n *                 else:\n *                     start = shape             # <<<<<<<<<<<<<<\n *         else:\n *             if negative_step:\n */\n        /*else*/ {\n          __pyx_v_start = __pyx_v_shape;\n        }\n        __pyx_L14:;\n\n        /* \"View.MemoryView\":846\n *                 if start < 0:\n *                     start = 0\n *             elif start >= shape:             # <<<<<<<<<<<<<<\n *                 if negative_step:\n *                     start = shape - 1\n */\n      }\n      __pyx_L12:;\n\n      /* \"View.MemoryView\":841\n * \n * \n *         if have_start:             # <<<<<<<<<<<<<<\n *             if start < 0:\n *                 start += shape\n */\n      goto __pyx_L11;\n    }\n\n    /* \"View.MemoryView\":852\n *                     start = shape\n *         else:\n *             if negative_step:             # <<<<<<<<<<<<<<\n *                 start = shape - 1\n *             else:\n */\n    /*else*/ {\n      __pyx_t_2 = (__pyx_v_negative_step != 0);\n      if (__pyx_t_2) {\n\n        /* \"View.MemoryView\":853\n *         else:\n *             if negative_step:\n *                 start = shape - 1             # <<<<<<<<<<<<<<\n *             else:\n *                 start = 0\n */\n        __pyx_v_start = (__pyx_v_shape - 1);\n\n        /* \"View.MemoryView\":852\n *                     start = shape\n *         else:\n *             if negative_step:             # <<<<<<<<<<<<<<\n *                 start = shape - 1\n *             else:\n */\n        goto __pyx_L15;\n      }\n\n      /* \"View.MemoryView\":855\n *                 start = shape - 1\n *             else:\n *                 start = 0             # <<<<<<<<<<<<<<\n * \n *         if have_stop:\n */\n      /*else*/ {\n        __pyx_v_start = 0;\n      }\n      __pyx_L15:;\n    }\n    __pyx_L11:;\n\n    /* \"View.MemoryView\":857\n *                 start = 0\n * \n *         if have_stop:             # <<<<<<<<<<<<<<\n *             if stop < 0:\n *                 stop += shape\n */\n    __pyx_t_2 = (__pyx_v_have_stop != 0);\n    if (__pyx_t_2) {\n\n      /* \"View.MemoryView\":858\n * \n *         if have_stop:\n *             if stop < 0:             # <<<<<<<<<<<<<<\n *                 stop += shape\n *                 if stop < 0:\n */\n      __pyx_t_2 = ((__pyx_v_stop < 0) != 0);\n      if (__pyx_t_2) {\n\n        /* \"View.MemoryView\":859\n *         if have_stop:\n *             if stop < 0:\n *                 stop += shape             # <<<<<<<<<<<<<<\n *                 if stop < 0:\n *                     stop = 0\n */\n        __pyx_v_stop = (__pyx_v_stop + __pyx_v_shape);\n\n        /* \"View.MemoryView\":860\n *             if stop < 0:\n *                 stop += shape\n *                 if stop < 0:             # <<<<<<<<<<<<<<\n *                     stop = 0\n *             elif stop > shape:\n */\n        __pyx_t_2 = ((__pyx_v_stop < 0) != 0);\n        if (__pyx_t_2) {\n\n          /* \"View.MemoryView\":861\n *                 stop += shape\n *                 if stop < 0:\n *                     stop = 0             # <<<<<<<<<<<<<<\n *             elif stop > shape:\n *                 stop = shape\n */\n          __pyx_v_stop = 0;\n\n          /* \"View.MemoryView\":860\n *             if stop < 0:\n *                 stop += shape\n *                 if stop < 0:             # <<<<<<<<<<<<<<\n *                     stop = 0\n *             elif stop > shape:\n */\n        }\n\n        /* \"View.MemoryView\":858\n * \n *         if have_stop:\n *             if stop < 0:             # <<<<<<<<<<<<<<\n *                 stop += shape\n *                 if stop < 0:\n */\n        goto __pyx_L17;\n      }\n\n      /* \"View.MemoryView\":862\n *                 if stop < 0:\n *                     stop = 0\n *             elif stop > shape:             # <<<<<<<<<<<<<<\n *                 stop = shape\n *         else:\n */\n      __pyx_t_2 = ((__pyx_v_stop > __pyx_v_shape) != 0);\n      if (__pyx_t_2) {\n\n        /* \"View.MemoryView\":863\n *                     stop = 0\n *             elif stop > shape:\n *                 stop = shape             # <<<<<<<<<<<<<<\n *         else:\n *             if negative_step:\n */\n        __pyx_v_stop = __pyx_v_shape;\n\n        /* \"View.MemoryView\":862\n *                 if stop < 0:\n *                     stop = 0\n *             elif stop > shape:             # <<<<<<<<<<<<<<\n *                 stop = shape\n *         else:\n */\n      }\n      __pyx_L17:;\n\n      /* \"View.MemoryView\":857\n *                 start = 0\n * \n *         if have_stop:             # <<<<<<<<<<<<<<\n *             if stop < 0:\n *                 stop += shape\n */\n      goto __pyx_L16;\n    }\n\n    /* \"View.MemoryView\":865\n *                 stop = shape\n *         else:\n *             if negative_step:             # <<<<<<<<<<<<<<\n *                 stop = -1\n *             else:\n */\n    /*else*/ {\n      __pyx_t_2 = (__pyx_v_negative_step != 0);\n      if (__pyx_t_2) {\n\n        /* \"View.MemoryView\":866\n *         else:\n *             if negative_step:\n *                 stop = -1             # <<<<<<<<<<<<<<\n *             else:\n *                 stop = shape\n */\n        __pyx_v_stop = -1L;\n\n        /* \"View.MemoryView\":865\n *                 stop = shape\n *         else:\n *             if negative_step:             # <<<<<<<<<<<<<<\n *                 stop = -1\n *             else:\n */\n        goto __pyx_L19;\n      }\n\n      /* \"View.MemoryView\":868\n *                 stop = -1\n *             else:\n *                 stop = shape             # <<<<<<<<<<<<<<\n * \n *         if not have_step:\n */\n      /*else*/ {\n        __pyx_v_stop = __pyx_v_shape;\n      }\n      __pyx_L19:;\n    }\n    __pyx_L16:;\n\n    /* \"View.MemoryView\":870\n *                 stop = shape\n * \n *         if not have_step:             # <<<<<<<<<<<<<<\n *             step = 1\n * \n */\n    __pyx_t_2 = ((!(__pyx_v_have_step != 0)) != 0);\n    if (__pyx_t_2) {\n\n      /* \"View.MemoryView\":871\n * \n *         if not have_step:\n *             step = 1             # <<<<<<<<<<<<<<\n * \n * \n */\n      __pyx_v_step = 1;\n\n      /* \"View.MemoryView\":870\n *                 stop = shape\n * \n *         if not have_step:             # <<<<<<<<<<<<<<\n *             step = 1\n * \n */\n    }\n\n    /* \"View.MemoryView\":875\n * \n *         with cython.cdivision(True):\n *             new_shape = (stop - start) // step             # <<<<<<<<<<<<<<\n * \n *             if (stop - start) - step * new_shape:\n */\n    __pyx_v_new_shape = ((__pyx_v_stop - __pyx_v_start) / __pyx_v_step);\n\n    /* \"View.MemoryView\":877\n *             new_shape = (stop - start) // step\n * \n *             if (stop - start) - step * new_shape:             # <<<<<<<<<<<<<<\n *                 new_shape += 1\n * \n */\n    __pyx_t_2 = (((__pyx_v_stop - __pyx_v_start) - (__pyx_v_step * __pyx_v_new_shape)) != 0);\n    if (__pyx_t_2) {\n\n      /* \"View.MemoryView\":878\n * \n *             if (stop - start) - step * new_shape:\n *                 new_shape += 1             # <<<<<<<<<<<<<<\n * \n *         if new_shape < 0:\n */\n      __pyx_v_new_shape = (__pyx_v_new_shape + 1);\n\n      /* \"View.MemoryView\":877\n *             new_shape = (stop - start) // step\n * \n *             if (stop - start) - step * new_shape:             # <<<<<<<<<<<<<<\n *                 new_shape += 1\n * \n */\n    }\n\n    /* \"View.MemoryView\":880\n *                 new_shape += 1\n * \n *         if new_shape < 0:             # <<<<<<<<<<<<<<\n *             new_shape = 0\n * \n */\n    __pyx_t_2 = ((__pyx_v_new_shape < 0) != 0);\n    if (__pyx_t_2) {\n\n      /* \"View.MemoryView\":881\n * \n *         if new_shape < 0:\n *             new_shape = 0             # <<<<<<<<<<<<<<\n * \n * \n */\n      __pyx_v_new_shape = 0;\n\n      /* \"View.MemoryView\":880\n *                 new_shape += 1\n * \n *         if new_shape < 0:             # <<<<<<<<<<<<<<\n *             new_shape = 0\n * \n */\n    }\n\n    /* \"View.MemoryView\":884\n * \n * \n *         dst.strides[new_ndim] = stride * step             # <<<<<<<<<<<<<<\n *         dst.shape[new_ndim] = new_shape\n *         dst.suboffsets[new_ndim] = suboffset\n */\n    (__pyx_v_dst->strides[__pyx_v_new_ndim]) = (__pyx_v_stride * __pyx_v_step);\n\n    /* \"View.MemoryView\":885\n * \n *         dst.strides[new_ndim] = stride * step\n *         dst.shape[new_ndim] = new_shape             # <<<<<<<<<<<<<<\n *         dst.suboffsets[new_ndim] = suboffset\n * \n */\n    (__pyx_v_dst->shape[__pyx_v_new_ndim]) = __pyx_v_new_shape;\n\n    /* \"View.MemoryView\":886\n *         dst.strides[new_ndim] = stride * step\n *         dst.shape[new_ndim] = new_shape\n *         dst.suboffsets[new_ndim] = suboffset             # <<<<<<<<<<<<<<\n * \n * \n */\n    (__pyx_v_dst->suboffsets[__pyx_v_new_ndim]) = __pyx_v_suboffset;\n  }\n  __pyx_L3:;\n\n  /* \"View.MemoryView\":889\n * \n * \n *     if suboffset_dim[0] < 0:             # <<<<<<<<<<<<<<\n *         dst.data += start * stride\n *     else:\n */\n  __pyx_t_2 = (((__pyx_v_suboffset_dim[0]) < 0) != 0);\n  if (__pyx_t_2) {\n\n    /* \"View.MemoryView\":890\n * \n *     if suboffset_dim[0] < 0:\n *         dst.data += start * stride             # <<<<<<<<<<<<<<\n *     else:\n *         dst.suboffsets[suboffset_dim[0]] += start * stride\n */\n    __pyx_v_dst->data = (__pyx_v_dst->data + (__pyx_v_start * __pyx_v_stride));\n\n    /* \"View.MemoryView\":889\n * \n * \n *     if suboffset_dim[0] < 0:             # <<<<<<<<<<<<<<\n *         dst.data += start * stride\n *     else:\n */\n    goto __pyx_L23;\n  }\n\n  /* \"View.MemoryView\":892\n *         dst.data += start * stride\n *     else:\n *         dst.suboffsets[suboffset_dim[0]] += start * stride             # <<<<<<<<<<<<<<\n * \n *     if suboffset >= 0:\n */\n  /*else*/ {\n    __pyx_t_3 = (__pyx_v_suboffset_dim[0]);\n    (__pyx_v_dst->suboffsets[__pyx_t_3]) = ((__pyx_v_dst->suboffsets[__pyx_t_3]) + (__pyx_v_start * __pyx_v_stride));\n  }\n  __pyx_L23:;\n\n  /* \"View.MemoryView\":894\n *         dst.suboffsets[suboffset_dim[0]] += start * stride\n * \n *     if suboffset >= 0:             # <<<<<<<<<<<<<<\n *         if not is_slice:\n *             if new_ndim == 0:\n */\n  __pyx_t_2 = ((__pyx_v_suboffset >= 0) != 0);\n  if (__pyx_t_2) {\n\n    /* \"View.MemoryView\":895\n * \n *     if suboffset >= 0:\n *         if not is_slice:             # <<<<<<<<<<<<<<\n *             if new_ndim == 0:\n *                 dst.data = (<char **> dst.data)[0] + suboffset\n */\n    __pyx_t_2 = ((!(__pyx_v_is_slice != 0)) != 0);\n    if (__pyx_t_2) {\n\n      /* \"View.MemoryView\":896\n *     if suboffset >= 0:\n *         if not is_slice:\n *             if new_ndim == 0:             # <<<<<<<<<<<<<<\n *                 dst.data = (<char **> dst.data)[0] + suboffset\n *             else:\n */\n      __pyx_t_2 = ((__pyx_v_new_ndim == 0) != 0);\n      if (__pyx_t_2) {\n\n        /* \"View.MemoryView\":897\n *         if not is_slice:\n *             if new_ndim == 0:\n *                 dst.data = (<char **> dst.data)[0] + suboffset             # <<<<<<<<<<<<<<\n *             else:\n *                 _err_dim(IndexError, \"All dimensions preceding dimension %d \"\n */\n        __pyx_v_dst->data = ((((char **)__pyx_v_dst->data)[0]) + __pyx_v_suboffset);\n\n        /* \"View.MemoryView\":896\n *     if suboffset >= 0:\n *         if not is_slice:\n *             if new_ndim == 0:             # <<<<<<<<<<<<<<\n *                 dst.data = (<char **> dst.data)[0] + suboffset\n *             else:\n */\n        goto __pyx_L26;\n      }\n\n      /* \"View.MemoryView\":899\n *                 dst.data = (<char **> dst.data)[0] + suboffset\n *             else:\n *                 _err_dim(IndexError, \"All dimensions preceding dimension %d \"             # <<<<<<<<<<<<<<\n *                                      \"must be indexed and not sliced\", dim)\n *         else:\n */\n      /*else*/ {\n\n        /* \"View.MemoryView\":900\n *             else:\n *                 _err_dim(IndexError, \"All dimensions preceding dimension %d \"\n *                                      \"must be indexed and not sliced\", dim)             # <<<<<<<<<<<<<<\n *         else:\n *             suboffset_dim[0] = new_ndim\n */\n        __pyx_t_3 = __pyx_memoryview_err_dim(__pyx_builtin_IndexError, ((char *)\"All dimensions preceding dimension %d must be indexed and not sliced\"), __pyx_v_dim); if (unlikely(__pyx_t_3 == ((int)-1))) __PYX_ERR(2, 899, __pyx_L1_error)\n      }\n      __pyx_L26:;\n\n      /* \"View.MemoryView\":895\n * \n *     if suboffset >= 0:\n *         if not is_slice:             # <<<<<<<<<<<<<<\n *             if new_ndim == 0:\n *                 dst.data = (<char **> dst.data)[0] + suboffset\n */\n      goto __pyx_L25;\n    }\n\n    /* \"View.MemoryView\":902\n *                                      \"must be indexed and not sliced\", dim)\n *         else:\n *             suboffset_dim[0] = new_ndim             # <<<<<<<<<<<<<<\n * \n *     return 0\n */\n    /*else*/ {\n      (__pyx_v_suboffset_dim[0]) = __pyx_v_new_ndim;\n    }\n    __pyx_L25:;\n\n    /* \"View.MemoryView\":894\n *         dst.suboffsets[suboffset_dim[0]] += start * stride\n * \n *     if suboffset >= 0:             # <<<<<<<<<<<<<<\n *         if not is_slice:\n *             if new_ndim == 0:\n */\n  }\n\n  /* \"View.MemoryView\":904\n *             suboffset_dim[0] = new_ndim\n * \n *     return 0             # <<<<<<<<<<<<<<\n * \n * \n */\n  __pyx_r = 0;\n  goto __pyx_L0;\n\n  /* \"View.MemoryView\":807\n * \n * @cname('__pyx_memoryview_slice_memviewslice')\n * cdef int slice_memviewslice(             # <<<<<<<<<<<<<<\n *         __Pyx_memviewslice *dst,\n *         Py_ssize_t shape, Py_ssize_t stride, Py_ssize_t suboffset,\n */\n\n  /* function exit code */\n  __pyx_L1_error:;\n  {\n    #ifdef WITH_THREAD\n    PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure();\n    #endif\n    __Pyx_AddTraceback(\"View.MemoryView.slice_memviewslice\", __pyx_clineno, __pyx_lineno, __pyx_filename);\n    #ifdef WITH_THREAD\n    __Pyx_PyGILState_Release(__pyx_gilstate_save);\n    #endif\n  }\n  __pyx_r = -1;\n  __pyx_L0:;\n  return __pyx_r;\n}\n\n/* \"View.MemoryView\":910\n * \n * @cname('__pyx_pybuffer_index')\n * cdef char *pybuffer_index(Py_buffer *view, char *bufp, Py_ssize_t index,             # <<<<<<<<<<<<<<\n *                           Py_ssize_t dim) except NULL:\n *     cdef Py_ssize_t shape, stride, suboffset = -1\n */\n\nstatic char *__pyx_pybuffer_index(Py_buffer *__pyx_v_view, char *__pyx_v_bufp, Py_ssize_t __pyx_v_index, Py_ssize_t __pyx_v_dim) {\n  Py_ssize_t __pyx_v_shape;\n  Py_ssize_t __pyx_v_stride;\n  Py_ssize_t __pyx_v_suboffset;\n  Py_ssize_t __pyx_v_itemsize;\n  char *__pyx_v_resultp;\n  char *__pyx_r;\n  __Pyx_RefNannyDeclarations\n  Py_ssize_t __pyx_t_1;\n  int __pyx_t_2;\n  PyObject *__pyx_t_3 = NULL;\n  PyObject *__pyx_t_4 = NULL;\n  int 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dst.strides[dim] = strides[dim]\n */\n  __pyx_t_2 = __pyx_v_memview->view.ndim;\n  __pyx_t_3 = __pyx_t_2;\n  for (__pyx_t_4 = 0; __pyx_t_4 < __pyx_t_3; __pyx_t_4+=1) {\n    __pyx_v_dim = __pyx_t_4;\n\n    /* \"View.MemoryView\":1075\n * \n *     for dim in range(memview.view.ndim):\n *         dst.shape[dim] = shape[dim]             # <<<<<<<<<<<<<<\n *         dst.strides[dim] = strides[dim]\n *         dst.suboffsets[dim] = suboffsets[dim] if suboffsets else -1\n */\n    (__pyx_v_dst->shape[__pyx_v_dim]) = (__pyx_v_shape[__pyx_v_dim]);\n\n    /* \"View.MemoryView\":1076\n *     for dim in range(memview.view.ndim):\n *         dst.shape[dim] = shape[dim]\n *         dst.strides[dim] = strides[dim]             # <<<<<<<<<<<<<<\n *         dst.suboffsets[dim] = suboffsets[dim] if suboffsets else -1\n * \n */\n    (__pyx_v_dst->strides[__pyx_v_dim]) = (__pyx_v_strides[__pyx_v_dim]);\n\n    /* \"View.MemoryView\":1077\n *         dst.shape[dim] = shape[dim]\n *         dst.strides[dim] = strides[dim]\n *         dst.suboffsets[dim] = suboffsets[dim] if suboffsets else -1             # <<<<<<<<<<<<<<\n * \n * @cname('__pyx_memoryview_copy_object')\n */\n    if ((__pyx_v_suboffsets != 0)) {\n      __pyx_t_5 = (__pyx_v_suboffsets[__pyx_v_dim]);\n    } else {\n      __pyx_t_5 = -1L;\n    }\n    (__pyx_v_dst->suboffsets[__pyx_v_dim]) = __pyx_t_5;\n  }\n\n  /* \"View.MemoryView\":1063\n * \n * @cname('__pyx_memoryview_slice_copy')\n * cdef void slice_copy(memoryview memview, __Pyx_memviewslice *dst):             # <<<<<<<<<<<<<<\n *     cdef int dim\n *     cdef (Py_ssize_t*) shape, strides, suboffsets\n */\n\n  /* function exit code */\n  __Pyx_RefNannyFinishContext();\n}\n\n/* \"View.MemoryView\":1080\n * \n * @cname('__pyx_memoryview_copy_object')\n * cdef memoryview_copy(memoryview memview):             # <<<<<<<<<<<<<<\n *     \"Create a new memoryview object\"\n *     cdef __Pyx_memviewslice memviewslice\n */\n\nstatic PyObject *__pyx_memoryview_copy_object(struct __pyx_memoryview_obj *__pyx_v_memview) {\n  __Pyx_memviewslice __pyx_v_memviewslice;\n  PyObject *__pyx_r = NULL;\n  __Pyx_RefNannyDeclarations\n  PyObject *__pyx_t_1 = NULL;\n  int __pyx_lineno = 0;\n  const char *__pyx_filename = NULL;\n  int __pyx_clineno = 0;\n  __Pyx_RefNannySetupContext(\"memoryview_copy\", 0);\n\n  /* \"View.MemoryView\":1083\n *     \"Create a new memoryview object\"\n *     cdef __Pyx_memviewslice memviewslice\n *     slice_copy(memview, &memviewslice)             # <<<<<<<<<<<<<<\n *     return memoryview_copy_from_slice(memview, &memviewslice)\n * \n */\n  __pyx_memoryview_slice_copy(__pyx_v_memview, (&__pyx_v_memviewslice));\n\n  /* \"View.MemoryView\":1084\n *     cdef __Pyx_memviewslice memviewslice\n *     slice_copy(memview, &memviewslice)\n *     return memoryview_copy_from_slice(memview, &memviewslice)             # <<<<<<<<<<<<<<\n * \n * @cname('__pyx_memoryview_copy_object_from_slice')\n */\n  __Pyx_XDECREF(__pyx_r);\n  __pyx_t_1 = __pyx_memoryview_copy_object_from_slice(__pyx_v_memview, (&__pyx_v_memviewslice)); if (unlikely(!__pyx_t_1)) __PYX_ERR(2, 1084, __pyx_L1_error)\n  __Pyx_GOTREF(__pyx_t_1);\n  __pyx_r = __pyx_t_1;\n  __pyx_t_1 = 0;\n  goto __pyx_L0;\n\n  /* \"View.MemoryView\":1080\n * \n * @cname('__pyx_memoryview_copy_object')\n * cdef memoryview_copy(memoryview memview):             # <<<<<<<<<<<<<<\n *     \"Create a new memoryview object\"\n *     cdef __Pyx_memviewslice memviewslice\n */\n\n  /* function exit code */\n  __pyx_L1_error:;\n  __Pyx_XDECREF(__pyx_t_1);\n  __Pyx_AddTraceback(\"View.MemoryView.memoryview_copy\", __pyx_clineno, __pyx_lineno, __pyx_filename);\n  __pyx_r = 0;\n  __pyx_L0:;\n  __Pyx_XGIVEREF(__pyx_r);\n  __Pyx_RefNannyFinishContext();\n  return __pyx_r;\n}\n\n/* \"View.MemoryView\":1087\n * \n * @cname('__pyx_memoryview_copy_object_from_slice')\n * cdef memoryview_copy_from_slice(memoryview memview, __Pyx_memviewslice *memviewslice):             # <<<<<<<<<<<<<<\n *     \"\"\"\n *     Create a new memoryview object from a given memoryview object and slice.\n */\n\nstatic PyObject *__pyx_memoryview_copy_object_from_slice(struct __pyx_memoryview_obj *__pyx_v_memview, __Pyx_memviewslice *__pyx_v_memviewslice) {\n  PyObject *(*__pyx_v_to_object_func)(char *);\n  int (*__pyx_v_to_dtype_func)(char *, PyObject *);\n  PyObject *__pyx_r = NULL;\n  __Pyx_RefNannyDeclarations\n  int __pyx_t_1;\n  int __pyx_t_2;\n  PyObject *(*__pyx_t_3)(char *);\n  int (*__pyx_t_4)(char *, PyObject *);\n  PyObject *__pyx_t_5 = NULL;\n  int __pyx_lineno = 0;\n  const char *__pyx_filename = NULL;\n  int __pyx_clineno = 0;\n  __Pyx_RefNannySetupContext(\"memoryview_copy_from_slice\", 0);\n\n  /* \"View.MemoryView\":1094\n *     cdef int (*to_dtype_func)(char *, object) except 0\n * \n *     if isinstance(memview, _memoryviewslice):             # <<<<<<<<<<<<<<\n *         to_object_func = (<_memoryviewslice> memview).to_object_func\n *         to_dtype_func = (<_memoryviewslice> memview).to_dtype_func\n */\n  __pyx_t_1 = __Pyx_TypeCheck(((PyObject *)__pyx_v_memview), __pyx_memoryviewslice_type); \n  __pyx_t_2 = (__pyx_t_1 != 0);\n  if (__pyx_t_2) {\n\n    /* \"View.MemoryView\":1095\n * \n *     if isinstance(memview, _memoryviewslice):\n *         to_object_func = (<_memoryviewslice> memview).to_object_func             # <<<<<<<<<<<<<<\n *         to_dtype_func = (<_memoryviewslice> memview).to_dtype_func\n *     else:\n */\n    __pyx_t_3 = ((struct __pyx_memoryviewslice_obj *)__pyx_v_memview)->to_object_func;\n    __pyx_v_to_object_func = __pyx_t_3;\n\n    /* \"View.MemoryView\":1096\n *     if isinstance(memview, _memoryviewslice):\n *         to_object_func = (<_memoryviewslice> memview).to_object_func\n *         to_dtype_func = (<_memoryviewslice> memview).to_dtype_func             # <<<<<<<<<<<<<<\n *     else:\n *         to_object_func = NULL\n */\n    __pyx_t_4 = ((struct __pyx_memoryviewslice_obj *)__pyx_v_memview)->to_dtype_func;\n    __pyx_v_to_dtype_func = __pyx_t_4;\n\n    /* \"View.MemoryView\":1094\n *     cdef int (*to_dtype_func)(char *, object) except 0\n * \n *     if isinstance(memview, _memoryviewslice):             # <<<<<<<<<<<<<<\n *         to_object_func = (<_memoryviewslice> memview).to_object_func\n *         to_dtype_func = (<_memoryviewslice> memview).to_dtype_func\n */\n    goto __pyx_L3;\n  }\n\n  /* \"View.MemoryView\":1098\n *         to_dtype_func = (<_memoryviewslice> memview).to_dtype_func\n *     else:\n *         to_object_func = NULL             # <<<<<<<<<<<<<<\n *         to_dtype_func = NULL\n * \n */\n  /*else*/ {\n    __pyx_v_to_object_func = NULL;\n\n    /* \"View.MemoryView\":1099\n *     else:\n *         to_object_func = NULL\n *         to_dtype_func = NULL             # <<<<<<<<<<<<<<\n * \n *     return memoryview_fromslice(memviewslice[0], memview.view.ndim,\n */\n    __pyx_v_to_dtype_func = NULL;\n  }\n  __pyx_L3:;\n\n  /* \"View.MemoryView\":1101\n *         to_dtype_func = NULL\n * \n *     return memoryview_fromslice(memviewslice[0], memview.view.ndim,             # <<<<<<<<<<<<<<\n *                                 to_object_func, to_dtype_func,\n *                                 memview.dtype_is_object)\n */\n  __Pyx_XDECREF(__pyx_r);\n\n  /* \"View.MemoryView\":1103\n *     return memoryview_fromslice(memviewslice[0], memview.view.ndim,\n *                                 to_object_func, to_dtype_func,\n *                                 memview.dtype_is_object)             # <<<<<<<<<<<<<<\n * \n * \n */\n  __pyx_t_5 = __pyx_memoryview_fromslice((__pyx_v_memviewslice[0]), __pyx_v_memview->view.ndim, __pyx_v_to_object_func, __pyx_v_to_dtype_func, __pyx_v_memview->dtype_is_object); if (unlikely(!__pyx_t_5)) __PYX_ERR(2, 1101, __pyx_L1_error)\n  __Pyx_GOTREF(__pyx_t_5);\n  __pyx_r = __pyx_t_5;\n  __pyx_t_5 = 0;\n  goto __pyx_L0;\n\n  /* \"View.MemoryView\":1087\n * \n * @cname('__pyx_memoryview_copy_object_from_slice')\n * cdef memoryview_copy_from_slice(memoryview memview, __Pyx_memviewslice *memviewslice):             # <<<<<<<<<<<<<<\n *     \"\"\"\n *     Create a new memoryview object from a given memoryview object and slice.\n */\n\n  /* function exit code */\n  __pyx_L1_error:;\n  __Pyx_XDECREF(__pyx_t_5);\n  __Pyx_AddTraceback(\"View.MemoryView.memoryview_copy_from_slice\", __pyx_clineno, __pyx_lineno, __pyx_filename);\n  __pyx_r = 0;\n  __pyx_L0:;\n  __Pyx_XGIVEREF(__pyx_r);\n  __Pyx_RefNannyFinishContext();\n  return __pyx_r;\n}\n\n/* \"View.MemoryView\":1109\n * \n * \n * cdef Py_ssize_t abs_py_ssize_t(Py_ssize_t arg) nogil:             # <<<<<<<<<<<<<<\n *     if arg < 0:\n *         return -arg\n */\n\nstatic Py_ssize_t abs_py_ssize_t(Py_ssize_t __pyx_v_arg) {\n  Py_ssize_t __pyx_r;\n  int __pyx_t_1;\n\n  /* \"View.MemoryView\":1110\n * \n * cdef Py_ssize_t abs_py_ssize_t(Py_ssize_t arg) nogil:\n *     if arg < 0:             # <<<<<<<<<<<<<<\n *         return -arg\n *     else:\n */\n  __pyx_t_1 = ((__pyx_v_arg < 0) != 0);\n  if (__pyx_t_1) {\n\n    /* \"View.MemoryView\":1111\n * cdef Py_ssize_t abs_py_ssize_t(Py_ssize_t arg) nogil:\n *     if arg < 0:\n *         return -arg             # <<<<<<<<<<<<<<\n *     else:\n *         return arg\n */\n    __pyx_r = (-__pyx_v_arg);\n    goto __pyx_L0;\n\n    /* \"View.MemoryView\":1110\n * \n * cdef Py_ssize_t abs_py_ssize_t(Py_ssize_t arg) nogil:\n *     if arg < 0:             # <<<<<<<<<<<<<<\n *         return -arg\n *     else:\n */\n  }\n\n  /* \"View.MemoryView\":1113\n *         return -arg\n *     else:\n *         return arg             # <<<<<<<<<<<<<<\n * \n * @cname('__pyx_get_best_slice_order')\n */\n  /*else*/ {\n    __pyx_r = __pyx_v_arg;\n    goto __pyx_L0;\n  }\n\n  /* \"View.MemoryView\":1109\n * \n * \n * cdef Py_ssize_t abs_py_ssize_t(Py_ssize_t arg) nogil:             # <<<<<<<<<<<<<<\n *     if arg < 0:\n *         return -arg\n */\n\n  /* function exit code */\n  __pyx_L0:;\n  return __pyx_r;\n}\n\n/* \"View.MemoryView\":1116\n * \n * @cname('__pyx_get_best_slice_order')\n * cdef char get_best_order(__Pyx_memviewslice *mslice, int ndim) nogil:             # <<<<<<<<<<<<<<\n *     \"\"\"\n *     Figure out the best memory access order for a given slice.\n */\n\nstatic char __pyx_get_best_slice_order(__Pyx_memviewslice *__pyx_v_mslice, int __pyx_v_ndim) {\n  int __pyx_v_i;\n  Py_ssize_t __pyx_v_c_stride;\n  Py_ssize_t __pyx_v_f_stride;\n  char __pyx_r;\n  int __pyx_t_1;\n  int __pyx_t_2;\n  int __pyx_t_3;\n  int __pyx_t_4;\n\n  /* \"View.MemoryView\":1121\n *     \"\"\"\n *     cdef int i\n *     cdef Py_ssize_t c_stride = 0             # <<<<<<<<<<<<<<\n *     cdef Py_ssize_t f_stride = 0\n * \n */\n  __pyx_v_c_stride = 0;\n\n  /* \"View.MemoryView\":1122\n *     cdef int i\n *     cdef Py_ssize_t c_stride = 0\n *     cdef Py_ssize_t f_stride = 0             # <<<<<<<<<<<<<<\n * \n *     for i in range(ndim - 1, -1, -1):\n */\n  __pyx_v_f_stride = 0;\n\n  /* \"View.MemoryView\":1124\n *     cdef Py_ssize_t f_stride = 0\n * \n *     for i in range(ndim - 1, -1, -1):             # <<<<<<<<<<<<<<\n *         if mslice.shape[i] > 1:\n *             c_stride = mslice.strides[i]\n */\n  for (__pyx_t_1 = (__pyx_v_ndim - 1); __pyx_t_1 > -1; __pyx_t_1-=1) {\n    __pyx_v_i = __pyx_t_1;\n\n    /* \"View.MemoryView\":1125\n * \n *     for i in range(ndim - 1, -1, -1):\n *         if mslice.shape[i] > 1:             # <<<<<<<<<<<<<<\n *             c_stride = mslice.strides[i]\n *             break\n */\n    __pyx_t_2 = (((__pyx_v_mslice->shape[__pyx_v_i]) > 1) != 0);\n    if (__pyx_t_2) {\n\n      /* \"View.MemoryView\":1126\n *     for i in range(ndim - 1, -1, -1):\n *         if mslice.shape[i] > 1:\n *             c_stride = mslice.strides[i]             # <<<<<<<<<<<<<<\n *             break\n * \n */\n      __pyx_v_c_stride = (__pyx_v_mslice->strides[__pyx_v_i]);\n\n      /* \"View.MemoryView\":1127\n *         if mslice.shape[i] > 1:\n *             c_stride = mslice.strides[i]\n *             break             # <<<<<<<<<<<<<<\n * \n *     for i in range(ndim):\n */\n      goto __pyx_L4_break;\n\n      /* \"View.MemoryView\":1125\n * \n *     for i in range(ndim - 1, -1, -1):\n *         if mslice.shape[i] > 1:             # <<<<<<<<<<<<<<\n *             c_stride = mslice.strides[i]\n *             break\n */\n    }\n  }\n  __pyx_L4_break:;\n\n  /* \"View.MemoryView\":1129\n *             break\n * \n *     for i in range(ndim):             # <<<<<<<<<<<<<<\n *         if mslice.shape[i] > 1:\n *             f_stride = mslice.strides[i]\n */\n  __pyx_t_1 = __pyx_v_ndim;\n  __pyx_t_3 = __pyx_t_1;\n  for (__pyx_t_4 = 0; __pyx_t_4 < __pyx_t_3; __pyx_t_4+=1) {\n    __pyx_v_i = __pyx_t_4;\n\n    /* \"View.MemoryView\":1130\n * \n *     for i in range(ndim):\n *         if mslice.shape[i] > 1:             # <<<<<<<<<<<<<<\n *             f_stride = mslice.strides[i]\n *             break\n */\n    __pyx_t_2 = (((__pyx_v_mslice->shape[__pyx_v_i]) > 1) != 0);\n    if (__pyx_t_2) {\n\n      /* \"View.MemoryView\":1131\n *     for i in range(ndim):\n *         if mslice.shape[i] > 1:\n *             f_stride = mslice.strides[i]             # <<<<<<<<<<<<<<\n *             break\n * \n */\n      __pyx_v_f_stride = (__pyx_v_mslice->strides[__pyx_v_i]);\n\n      /* \"View.MemoryView\":1132\n *         if mslice.shape[i] > 1:\n *             f_stride = mslice.strides[i]\n *             break             # <<<<<<<<<<<<<<\n * \n *     if abs_py_ssize_t(c_stride) <= abs_py_ssize_t(f_stride):\n */\n      goto __pyx_L7_break;\n\n      /* \"View.MemoryView\":1130\n * \n *     for i in range(ndim):\n *         if mslice.shape[i] > 1:             # <<<<<<<<<<<<<<\n *             f_stride = mslice.strides[i]\n *             break\n */\n    }\n  }\n  __pyx_L7_break:;\n\n  /* \"View.MemoryView\":1134\n *             break\n * \n *     if abs_py_ssize_t(c_stride) <= abs_py_ssize_t(f_stride):             # <<<<<<<<<<<<<<\n *         return 'C'\n *     else:\n */\n  __pyx_t_2 = ((abs_py_ssize_t(__pyx_v_c_stride) <= abs_py_ssize_t(__pyx_v_f_stride)) != 0);\n  if (__pyx_t_2) {\n\n    /* \"View.MemoryView\":1135\n * \n *     if abs_py_ssize_t(c_stride) <= abs_py_ssize_t(f_stride):\n *         return 'C'             # <<<<<<<<<<<<<<\n *     else:\n *         return 'F'\n */\n    __pyx_r = 'C';\n    goto __pyx_L0;\n\n    /* \"View.MemoryView\":1134\n *             break\n * \n *     if abs_py_ssize_t(c_stride) <= abs_py_ssize_t(f_stride):             # <<<<<<<<<<<<<<\n *         return 'C'\n *     else:\n */\n  }\n\n  /* \"View.MemoryView\":1137\n *         return 'C'\n *     else:\n *         return 'F'             # <<<<<<<<<<<<<<\n * \n * @cython.cdivision(True)\n */\n  /*else*/ {\n    __pyx_r = 'F';\n    goto __pyx_L0;\n  }\n\n  /* \"View.MemoryView\":1116\n * \n * @cname('__pyx_get_best_slice_order')\n * cdef char get_best_order(__Pyx_memviewslice *mslice, int ndim) nogil:             # <<<<<<<<<<<<<<\n *     \"\"\"\n *     Figure out the best memory access order for a given slice.\n */\n\n  /* function exit code */\n  __pyx_L0:;\n  return __pyx_r;\n}\n\n/* \"View.MemoryView\":1140\n * \n * @cython.cdivision(True)\n * cdef void _copy_strided_to_strided(char *src_data, Py_ssize_t *src_strides,             # <<<<<<<<<<<<<<\n *                                    char *dst_data, Py_ssize_t *dst_strides,\n *                                    Py_ssize_t *src_shape, Py_ssize_t *dst_shape,\n */\n\nstatic void _copy_strided_to_strided(char *__pyx_v_src_data, Py_ssize_t *__pyx_v_src_strides, char *__pyx_v_dst_data, Py_ssize_t *__pyx_v_dst_strides, Py_ssize_t *__pyx_v_src_shape, Py_ssize_t *__pyx_v_dst_shape, int __pyx_v_ndim, size_t __pyx_v_itemsize) {\n  CYTHON_UNUSED Py_ssize_t __pyx_v_i;\n  CYTHON_UNUSED Py_ssize_t __pyx_v_src_extent;\n  Py_ssize_t __pyx_v_dst_extent;\n  Py_ssize_t __pyx_v_src_stride;\n  Py_ssize_t __pyx_v_dst_stride;\n  int __pyx_t_1;\n  int __pyx_t_2;\n  int __pyx_t_3;\n  Py_ssize_t __pyx_t_4;\n  Py_ssize_t __pyx_t_5;\n  Py_ssize_t __pyx_t_6;\n\n  /* \"View.MemoryView\":1147\n * \n *     cdef Py_ssize_t i\n *     cdef Py_ssize_t src_extent = src_shape[0]             # <<<<<<<<<<<<<<\n *     cdef Py_ssize_t dst_extent = dst_shape[0]\n *     cdef Py_ssize_t src_stride = src_strides[0]\n */\n  __pyx_v_src_extent = (__pyx_v_src_shape[0]);\n\n  /* \"View.MemoryView\":1148\n *     cdef Py_ssize_t i\n *     cdef Py_ssize_t src_extent = src_shape[0]\n *     cdef Py_ssize_t dst_extent = dst_shape[0]             # <<<<<<<<<<<<<<\n *     cdef Py_ssize_t src_stride = src_strides[0]\n *     cdef Py_ssize_t dst_stride = dst_strides[0]\n */\n  __pyx_v_dst_extent = (__pyx_v_dst_shape[0]);\n\n  /* \"View.MemoryView\":1149\n *     cdef Py_ssize_t src_extent = src_shape[0]\n *     cdef Py_ssize_t dst_extent = dst_shape[0]\n *     cdef Py_ssize_t src_stride = src_strides[0]             # <<<<<<<<<<<<<<\n *     cdef Py_ssize_t dst_stride = dst_strides[0]\n * \n */\n  __pyx_v_src_stride = (__pyx_v_src_strides[0]);\n\n  /* \"View.MemoryView\":1150\n *     cdef Py_ssize_t dst_extent = dst_shape[0]\n *     cdef Py_ssize_t src_stride = src_strides[0]\n *     cdef Py_ssize_t dst_stride = dst_strides[0]             # <<<<<<<<<<<<<<\n * \n *     if ndim == 1:\n */\n  __pyx_v_dst_stride = (__pyx_v_dst_strides[0]);\n\n  /* \"View.MemoryView\":1152\n *     cdef Py_ssize_t dst_stride = dst_strides[0]\n * \n *     if ndim == 1:             # <<<<<<<<<<<<<<\n *        if (src_stride > 0 and dst_stride > 0 and\n *            <size_t> src_stride == itemsize == <size_t> dst_stride):\n */\n  __pyx_t_1 = ((__pyx_v_ndim == 1) != 0);\n  if (__pyx_t_1) {\n\n    /* \"View.MemoryView\":1153\n * \n *     if ndim == 1:\n *        if (src_stride > 0 and dst_stride > 0 and             # <<<<<<<<<<<<<<\n *            <size_t> src_stride == itemsize == <size_t> dst_stride):\n *            memcpy(dst_data, src_data, itemsize * dst_extent)\n */\n    __pyx_t_2 = ((__pyx_v_src_stride > 0) != 0);\n    if (__pyx_t_2) {\n    } else {\n      __pyx_t_1 = __pyx_t_2;\n      goto __pyx_L5_bool_binop_done;\n    }\n    __pyx_t_2 = ((__pyx_v_dst_stride > 0) != 0);\n    if (__pyx_t_2) {\n    } else {\n      __pyx_t_1 = __pyx_t_2;\n      goto __pyx_L5_bool_binop_done;\n    }\n\n    /* \"View.MemoryView\":1154\n *     if ndim == 1:\n *        if (src_stride > 0 and dst_stride > 0 and\n *            <size_t> src_stride == itemsize == <size_t> dst_stride):             # <<<<<<<<<<<<<<\n *            memcpy(dst_data, src_data, itemsize * dst_extent)\n *        else:\n */\n    __pyx_t_2 = (((size_t)__pyx_v_src_stride) == __pyx_v_itemsize);\n    if (__pyx_t_2) {\n      __pyx_t_2 = (__pyx_v_itemsize == ((size_t)__pyx_v_dst_stride));\n    }\n    __pyx_t_3 = (__pyx_t_2 != 0);\n    __pyx_t_1 = __pyx_t_3;\n    __pyx_L5_bool_binop_done:;\n\n    /* \"View.MemoryView\":1153\n * \n *     if ndim == 1:\n *        if (src_stride > 0 and dst_stride > 0 and             # <<<<<<<<<<<<<<\n *            <size_t> src_stride == itemsize == <size_t> dst_stride):\n *            memcpy(dst_data, src_data, itemsize * dst_extent)\n */\n    if (__pyx_t_1) {\n\n      /* \"View.MemoryView\":1155\n *        if (src_stride > 0 and dst_stride > 0 and\n *            <size_t> src_stride == itemsize == <size_t> dst_stride):\n *            memcpy(dst_data, src_data, itemsize * dst_extent)             # <<<<<<<<<<<<<<\n *        else:\n *            for i in range(dst_extent):\n */\n      (void)(memcpy(__pyx_v_dst_data, __pyx_v_src_data, (__pyx_v_itemsize * __pyx_v_dst_extent)));\n\n      /* \"View.MemoryView\":1153\n * \n *     if ndim == 1:\n *        if (src_stride > 0 and dst_stride > 0 and             # <<<<<<<<<<<<<<\n *            <size_t> src_stride == itemsize == <size_t> dst_stride):\n *            memcpy(dst_data, src_data, itemsize * dst_extent)\n */\n      goto __pyx_L4;\n    }\n\n    /* \"View.MemoryView\":1157\n *            memcpy(dst_data, src_data, itemsize * dst_extent)\n *        else:\n *            for i in range(dst_extent):             # <<<<<<<<<<<<<<\n *                memcpy(dst_data, src_data, itemsize)\n *                src_data += src_stride\n */\n    /*else*/ {\n      __pyx_t_4 = __pyx_v_dst_extent;\n      __pyx_t_5 = __pyx_t_4;\n      for (__pyx_t_6 = 0; __pyx_t_6 < __pyx_t_5; __pyx_t_6+=1) {\n        __pyx_v_i = __pyx_t_6;\n\n        /* \"View.MemoryView\":1158\n *        else:\n *            for i in range(dst_extent):\n *                memcpy(dst_data, src_data, itemsize)             # <<<<<<<<<<<<<<\n *                src_data += src_stride\n *                dst_data += dst_stride\n */\n        (void)(memcpy(__pyx_v_dst_data, __pyx_v_src_data, __pyx_v_itemsize));\n\n        /* \"View.MemoryView\":1159\n *            for i in range(dst_extent):\n *                memcpy(dst_data, src_data, itemsize)\n *                src_data += src_stride             # <<<<<<<<<<<<<<\n *                dst_data += dst_stride\n *     else:\n */\n        __pyx_v_src_data = (__pyx_v_src_data + __pyx_v_src_stride);\n\n        /* \"View.MemoryView\":1160\n *                memcpy(dst_data, src_data, itemsize)\n *                src_data += src_stride\n *                dst_data += dst_stride             # <<<<<<<<<<<<<<\n *     else:\n *         for i in range(dst_extent):\n */\n        __pyx_v_dst_data = (__pyx_v_dst_data + __pyx_v_dst_stride);\n      }\n    }\n    __pyx_L4:;\n\n    /* \"View.MemoryView\":1152\n *     cdef Py_ssize_t dst_stride = dst_strides[0]\n * \n *     if ndim == 1:             # <<<<<<<<<<<<<<\n *        if (src_stride > 0 and dst_stride > 0 and\n *            <size_t> src_stride == itemsize == <size_t> dst_stride):\n */\n    goto __pyx_L3;\n  }\n\n  /* \"View.MemoryView\":1162\n *                dst_data += dst_stride\n *     else:\n *         for i in range(dst_extent):             # <<<<<<<<<<<<<<\n *             _copy_strided_to_strided(src_data, src_strides + 1,\n *                                      dst_data, dst_strides + 1,\n */\n  /*else*/ {\n    __pyx_t_4 = __pyx_v_dst_extent;\n    __pyx_t_5 = __pyx_t_4;\n    for (__pyx_t_6 = 0; __pyx_t_6 < __pyx_t_5; __pyx_t_6+=1) {\n      __pyx_v_i = __pyx_t_6;\n\n      /* \"View.MemoryView\":1163\n *     else:\n *         for i in range(dst_extent):\n *             _copy_strided_to_strided(src_data, src_strides + 1,             # <<<<<<<<<<<<<<\n *                                      dst_data, dst_strides + 1,\n *                                      src_shape + 1, dst_shape + 1,\n */\n      _copy_strided_to_strided(__pyx_v_src_data, (__pyx_v_src_strides + 1), __pyx_v_dst_data, (__pyx_v_dst_strides + 1), (__pyx_v_src_shape + 1), (__pyx_v_dst_shape + 1), (__pyx_v_ndim - 1), __pyx_v_itemsize);\n\n      /* \"View.MemoryView\":1167\n *                                      src_shape + 1, dst_shape + 1,\n *                                      ndim - 1, itemsize)\n *             src_data += src_stride             # <<<<<<<<<<<<<<\n *             dst_data += dst_stride\n * \n */\n      __pyx_v_src_data = (__pyx_v_src_data + __pyx_v_src_stride);\n\n      /* \"View.MemoryView\":1168\n *                                      ndim - 1, itemsize)\n *             src_data += src_stride\n *             dst_data += dst_stride             # <<<<<<<<<<<<<<\n * \n * cdef void copy_strided_to_strided(__Pyx_memviewslice *src,\n */\n      __pyx_v_dst_data = (__pyx_v_dst_data + __pyx_v_dst_stride);\n    }\n  }\n  __pyx_L3:;\n\n  /* \"View.MemoryView\":1140\n * \n * @cython.cdivision(True)\n * cdef void _copy_strided_to_strided(char *src_data, Py_ssize_t *src_strides,             # <<<<<<<<<<<<<<\n *                                    char *dst_data, Py_ssize_t *dst_strides,\n *                                    Py_ssize_t *src_shape, Py_ssize_t *dst_shape,\n */\n\n  /* function exit code */\n}\n\n/* \"View.MemoryView\":1170\n *             dst_data += dst_stride\n * \n * cdef void copy_strided_to_strided(__Pyx_memviewslice *src,             # <<<<<<<<<<<<<<\n *                                   __Pyx_memviewslice *dst,\n *                                   int ndim, size_t itemsize) nogil:\n */\n\nstatic void copy_strided_to_strided(__Pyx_memviewslice *__pyx_v_src, __Pyx_memviewslice *__pyx_v_dst, int __pyx_v_ndim, size_t __pyx_v_itemsize) {\n\n  /* \"View.MemoryView\":1173\n *                                   __Pyx_memviewslice *dst,\n *                                   int ndim, size_t itemsize) nogil:\n *     _copy_strided_to_strided(src.data, src.strides, dst.data, dst.strides,             # <<<<<<<<<<<<<<\n *                              src.shape, dst.shape, ndim, itemsize)\n * \n */\n  _copy_strided_to_strided(__pyx_v_src->data, __pyx_v_src->strides, __pyx_v_dst->data, __pyx_v_dst->strides, __pyx_v_src->shape, __pyx_v_dst->shape, __pyx_v_ndim, __pyx_v_itemsize);\n\n  /* \"View.MemoryView\":1170\n *             dst_data += dst_stride\n * \n * cdef void copy_strided_to_strided(__Pyx_memviewslice *src,             # <<<<<<<<<<<<<<\n *                                   __Pyx_memviewslice *dst,\n *                                   int ndim, size_t itemsize) nogil:\n */\n\n  /* function exit code */\n}\n\n/* \"View.MemoryView\":1177\n * \n * @cname('__pyx_memoryview_slice_get_size')\n * cdef Py_ssize_t slice_get_size(__Pyx_memviewslice *src, int ndim) nogil:             # <<<<<<<<<<<<<<\n *     \"Return the size of the memory occupied by the slice in number of bytes\"\n *     cdef Py_ssize_t shape, size = src.memview.view.itemsize\n */\n\nstatic Py_ssize_t __pyx_memoryview_slice_get_size(__Pyx_memviewslice *__pyx_v_src, int __pyx_v_ndim) {\n  Py_ssize_t __pyx_v_shape;\n  Py_ssize_t __pyx_v_size;\n  Py_ssize_t __pyx_r;\n  Py_ssize_t __pyx_t_1;\n  Py_ssize_t *__pyx_t_2;\n  Py_ssize_t *__pyx_t_3;\n  Py_ssize_t *__pyx_t_4;\n\n  /* \"View.MemoryView\":1179\n * cdef Py_ssize_t slice_get_size(__Pyx_memviewslice *src, int ndim) nogil:\n *     \"Return the size of the memory occupied by the slice in number of bytes\"\n *     cdef Py_ssize_t shape, size = src.memview.view.itemsize             # <<<<<<<<<<<<<<\n * \n *     for shape in src.shape[:ndim]:\n */\n  __pyx_t_1 = __pyx_v_src->memview->view.itemsize;\n  __pyx_v_size = __pyx_t_1;\n\n  /* \"View.MemoryView\":1181\n *     cdef Py_ssize_t shape, size = src.memview.view.itemsize\n * \n *     for shape in src.shape[:ndim]:             # <<<<<<<<<<<<<<\n *         size *= shape\n * \n */\n  __pyx_t_3 = (__pyx_v_src->shape + __pyx_v_ndim);\n  for (__pyx_t_4 = __pyx_v_src->shape; __pyx_t_4 < __pyx_t_3; __pyx_t_4++) {\n    __pyx_t_2 = __pyx_t_4;\n    __pyx_v_shape = (__pyx_t_2[0]);\n\n    /* \"View.MemoryView\":1182\n * \n *     for shape in src.shape[:ndim]:\n *         size *= shape             # <<<<<<<<<<<<<<\n * \n *     return size\n */\n    __pyx_v_size = (__pyx_v_size * __pyx_v_shape);\n  }\n\n  /* \"View.MemoryView\":1184\n *         size *= shape\n * \n *     return size             # <<<<<<<<<<<<<<\n * \n * @cname('__pyx_fill_contig_strides_array')\n */\n  __pyx_r = __pyx_v_size;\n  goto __pyx_L0;\n\n  /* \"View.MemoryView\":1177\n * \n * @cname('__pyx_memoryview_slice_get_size')\n * cdef Py_ssize_t slice_get_size(__Pyx_memviewslice *src, int ndim) nogil:             # <<<<<<<<<<<<<<\n *     \"Return the size of the memory occupied by the slice in number of bytes\"\n *     cdef Py_ssize_t shape, size = src.memview.view.itemsize\n */\n\n  /* function exit code */\n  __pyx_L0:;\n  return __pyx_r;\n}\n\n/* \"View.MemoryView\":1187\n * \n * @cname('__pyx_fill_contig_strides_array')\n * cdef Py_ssize_t fill_contig_strides_array(             # <<<<<<<<<<<<<<\n *                 Py_ssize_t *shape, Py_ssize_t *strides, Py_ssize_t stride,\n *                 int ndim, char order) nogil:\n */\n\nstatic Py_ssize_t __pyx_fill_contig_strides_array(Py_ssize_t *__pyx_v_shape, Py_ssize_t *__pyx_v_strides, Py_ssize_t __pyx_v_stride, int __pyx_v_ndim, char __pyx_v_order) {\n  int __pyx_v_idx;\n  Py_ssize_t __pyx_r;\n  int __pyx_t_1;\n  int __pyx_t_2;\n  int __pyx_t_3;\n  int __pyx_t_4;\n\n  /* \"View.MemoryView\":1196\n *     cdef int idx\n * \n *     if order == 'F':             # <<<<<<<<<<<<<<\n *         for idx in range(ndim):\n *             strides[idx] = stride\n */\n  __pyx_t_1 = ((__pyx_v_order == 'F') != 0);\n  if (__pyx_t_1) {\n\n    /* \"View.MemoryView\":1197\n * \n *     if order == 'F':\n *         for idx in range(ndim):             # <<<<<<<<<<<<<<\n *             strides[idx] = stride\n *             stride *= shape[idx]\n */\n    __pyx_t_2 = __pyx_v_ndim;\n    __pyx_t_3 = __pyx_t_2;\n    for (__pyx_t_4 = 0; __pyx_t_4 < __pyx_t_3; __pyx_t_4+=1) {\n      __pyx_v_idx = __pyx_t_4;\n\n      /* \"View.MemoryView\":1198\n *     if order == 'F':\n *         for idx in range(ndim):\n *             strides[idx] = stride             # <<<<<<<<<<<<<<\n *             stride *= shape[idx]\n *     else:\n */\n      (__pyx_v_strides[__pyx_v_idx]) = __pyx_v_stride;\n\n      /* \"View.MemoryView\":1199\n *         for idx in range(ndim):\n *             strides[idx] = stride\n *             stride *= shape[idx]             # <<<<<<<<<<<<<<\n *     else:\n *         for idx in range(ndim - 1, -1, -1):\n */\n      __pyx_v_stride = (__pyx_v_stride * (__pyx_v_shape[__pyx_v_idx]));\n    }\n\n    /* \"View.MemoryView\":1196\n *     cdef int idx\n * \n *     if order == 'F':             # <<<<<<<<<<<<<<\n *         for idx in range(ndim):\n *             strides[idx] = stride\n */\n    goto __pyx_L3;\n  }\n\n  /* \"View.MemoryView\":1201\n *             stride *= shape[idx]\n *     else:\n *         for idx in range(ndim - 1, -1, -1):             # <<<<<<<<<<<<<<\n *             strides[idx] = stride\n *             stride *= shape[idx]\n */\n  /*else*/ {\n    for (__pyx_t_2 = (__pyx_v_ndim - 1); __pyx_t_2 > -1; __pyx_t_2-=1) {\n      __pyx_v_idx = __pyx_t_2;\n\n      /* \"View.MemoryView\":1202\n *     else:\n *         for idx in range(ndim - 1, -1, -1):\n *             strides[idx] = stride             # <<<<<<<<<<<<<<\n *             stride *= shape[idx]\n * \n */\n      (__pyx_v_strides[__pyx_v_idx]) = __pyx_v_stride;\n\n      /* \"View.MemoryView\":1203\n *         for idx in range(ndim - 1, -1, -1):\n *             strides[idx] = stride\n *             stride *= shape[idx]             # <<<<<<<<<<<<<<\n * \n *     return stride\n */\n      __pyx_v_stride = (__pyx_v_stride * (__pyx_v_shape[__pyx_v_idx]));\n    }\n  }\n  __pyx_L3:;\n\n  /* \"View.MemoryView\":1205\n *             stride *= shape[idx]\n * \n *     return stride             # <<<<<<<<<<<<<<\n * \n * @cname('__pyx_memoryview_copy_data_to_temp')\n */\n  __pyx_r = __pyx_v_stride;\n  goto __pyx_L0;\n\n  /* \"View.MemoryView\":1187\n * \n * @cname('__pyx_fill_contig_strides_array')\n * cdef Py_ssize_t fill_contig_strides_array(             # <<<<<<<<<<<<<<\n *                 Py_ssize_t *shape, Py_ssize_t *strides, Py_ssize_t stride,\n *                 int ndim, char order) nogil:\n */\n\n  /* function exit code */\n  __pyx_L0:;\n  return __pyx_r;\n}\n\n/* \"View.MemoryView\":1208\n * \n * @cname('__pyx_memoryview_copy_data_to_temp')\n * cdef void *copy_data_to_temp(__Pyx_memviewslice *src,             # <<<<<<<<<<<<<<\n *                              __Pyx_memviewslice *tmpslice,\n *                              char order,\n */\n\nstatic void *__pyx_memoryview_copy_data_to_temp(__Pyx_memviewslice *__pyx_v_src, __Pyx_memviewslice *__pyx_v_tmpslice, char __pyx_v_order, int __pyx_v_ndim) {\n  int __pyx_v_i;\n  void *__pyx_v_result;\n  size_t __pyx_v_itemsize;\n  size_t __pyx_v_size;\n  void *__pyx_r;\n  Py_ssize_t __pyx_t_1;\n  int __pyx_t_2;\n  int __pyx_t_3;\n  struct __pyx_memoryview_obj *__pyx_t_4;\n  int __pyx_t_5;\n  int __pyx_t_6;\n  int __pyx_lineno = 0;\n  const char *__pyx_filename = NULL;\n  int __pyx_clineno = 0;\n\n  /* \"View.MemoryView\":1219\n *     cdef void *result\n * \n *     cdef size_t itemsize = src.memview.view.itemsize             # <<<<<<<<<<<<<<\n *     cdef size_t size = slice_get_size(src, ndim)\n * \n */\n  __pyx_t_1 = __pyx_v_src->memview->view.itemsize;\n  __pyx_v_itemsize = __pyx_t_1;\n\n  /* \"View.MemoryView\":1220\n * \n *     cdef size_t itemsize = src.memview.view.itemsize\n *     cdef size_t size = slice_get_size(src, ndim)             # <<<<<<<<<<<<<<\n * \n *     result = malloc(size)\n */\n  __pyx_v_size = __pyx_memoryview_slice_get_size(__pyx_v_src, __pyx_v_ndim);\n\n  /* \"View.MemoryView\":1222\n *     cdef size_t size = slice_get_size(src, ndim)\n * \n *     result = malloc(size)             # <<<<<<<<<<<<<<\n *     if not result:\n *         _err(MemoryError, NULL)\n */\n  __pyx_v_result = malloc(__pyx_v_size);\n\n  /* \"View.MemoryView\":1223\n * \n *     result = malloc(size)\n *     if not result:             # <<<<<<<<<<<<<<\n *         _err(MemoryError, NULL)\n * \n */\n  __pyx_t_2 = ((!(__pyx_v_result != 0)) != 0);\n  if (__pyx_t_2) {\n\n    /* \"View.MemoryView\":1224\n *     result = malloc(size)\n *     if not result:\n *         _err(MemoryError, NULL)             # <<<<<<<<<<<<<<\n * \n * \n */\n    __pyx_t_3 = __pyx_memoryview_err(__pyx_builtin_MemoryError, NULL); if (unlikely(__pyx_t_3 == ((int)-1))) __PYX_ERR(2, 1224, __pyx_L1_error)\n\n    /* \"View.MemoryView\":1223\n * \n *     result = malloc(size)\n *     if not result:             # <<<<<<<<<<<<<<\n *         _err(MemoryError, NULL)\n * \n */\n  }\n\n  /* \"View.MemoryView\":1227\n * \n * \n *     tmpslice.data = <char *> result             # <<<<<<<<<<<<<<\n *     tmpslice.memview = src.memview\n *     for i in range(ndim):\n */\n  __pyx_v_tmpslice->data = ((char *)__pyx_v_result);\n\n  /* \"View.MemoryView\":1228\n * \n *     tmpslice.data = <char *> result\n *     tmpslice.memview = src.memview             # <<<<<<<<<<<<<<\n *     for i in range(ndim):\n *         tmpslice.shape[i] = src.shape[i]\n */\n  __pyx_t_4 = __pyx_v_src->memview;\n  __pyx_v_tmpslice->memview = __pyx_t_4;\n\n  /* \"View.MemoryView\":1229\n *     tmpslice.data = <char *> result\n *     tmpslice.memview = src.memview\n *     for i in range(ndim):             # <<<<<<<<<<<<<<\n *         tmpslice.shape[i] = src.shape[i]\n *         tmpslice.suboffsets[i] = -1\n */\n  __pyx_t_3 = __pyx_v_ndim;\n  __pyx_t_5 = __pyx_t_3;\n  for (__pyx_t_6 = 0; __pyx_t_6 < __pyx_t_5; __pyx_t_6+=1) {\n    __pyx_v_i = __pyx_t_6;\n\n    /* \"View.MemoryView\":1230\n *     tmpslice.memview = src.memview\n *     for i in range(ndim):\n *         tmpslice.shape[i] = src.shape[i]             # <<<<<<<<<<<<<<\n *         tmpslice.suboffsets[i] = -1\n * \n */\n    (__pyx_v_tmpslice->shape[__pyx_v_i]) = (__pyx_v_src->shape[__pyx_v_i]);\n\n    /* \"View.MemoryView\":1231\n *     for i in range(ndim):\n *         tmpslice.shape[i] = src.shape[i]\n *         tmpslice.suboffsets[i] = -1             # <<<<<<<<<<<<<<\n * \n *     fill_contig_strides_array(&tmpslice.shape[0], &tmpslice.strides[0], itemsize,\n */\n    (__pyx_v_tmpslice->suboffsets[__pyx_v_i]) = -1L;\n  }\n\n  /* \"View.MemoryView\":1233\n *         tmpslice.suboffsets[i] = -1\n * \n *     fill_contig_strides_array(&tmpslice.shape[0], &tmpslice.strides[0], itemsize,             # <<<<<<<<<<<<<<\n *                               ndim, order)\n * \n */\n  (void)(__pyx_fill_contig_strides_array((&(__pyx_v_tmpslice->shape[0])), (&(__pyx_v_tmpslice->strides[0])), __pyx_v_itemsize, __pyx_v_ndim, __pyx_v_order));\n\n  /* \"View.MemoryView\":1237\n * \n * \n *     for i in range(ndim):             # <<<<<<<<<<<<<<\n *         if tmpslice.shape[i] == 1:\n *             tmpslice.strides[i] = 0\n */\n  __pyx_t_3 = __pyx_v_ndim;\n  __pyx_t_5 = __pyx_t_3;\n  for (__pyx_t_6 = 0; __pyx_t_6 < __pyx_t_5; __pyx_t_6+=1) {\n    __pyx_v_i = __pyx_t_6;\n\n    /* \"View.MemoryView\":1238\n * \n *     for i in range(ndim):\n *         if tmpslice.shape[i] == 1:             # <<<<<<<<<<<<<<\n *             tmpslice.strides[i] = 0\n * \n */\n    __pyx_t_2 = (((__pyx_v_tmpslice->shape[__pyx_v_i]) == 1) != 0);\n    if (__pyx_t_2) {\n\n      /* \"View.MemoryView\":1239\n *     for i in range(ndim):\n *         if tmpslice.shape[i] == 1:\n *             tmpslice.strides[i] = 0             # <<<<<<<<<<<<<<\n * \n *     if slice_is_contig(src[0], order, ndim):\n */\n      (__pyx_v_tmpslice->strides[__pyx_v_i]) = 0;\n\n      /* \"View.MemoryView\":1238\n * \n *     for i in range(ndim):\n *         if tmpslice.shape[i] == 1:             # <<<<<<<<<<<<<<\n *             tmpslice.strides[i] = 0\n * \n */\n    }\n  }\n\n  /* \"View.MemoryView\":1241\n *             tmpslice.strides[i] = 0\n * \n *     if slice_is_contig(src[0], order, ndim):             # <<<<<<<<<<<<<<\n *         memcpy(result, src.data, size)\n *     else:\n */\n  __pyx_t_2 = (__pyx_memviewslice_is_contig((__pyx_v_src[0]), __pyx_v_order, __pyx_v_ndim) != 0);\n  if (__pyx_t_2) {\n\n    /* 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__pyx_v_src.memview->view.itemsize;\n  __pyx_v_itemsize = __pyx_t_1;\n\n  /* \"View.MemoryView\":1279\n *     cdef size_t itemsize = src.memview.view.itemsize\n *     cdef int i\n *     cdef char order = get_best_order(&src, src_ndim)             # <<<<<<<<<<<<<<\n *     cdef bint broadcasting = False\n *     cdef bint direct_copy = False\n */\n  __pyx_v_order = __pyx_get_best_slice_order((&__pyx_v_src), __pyx_v_src_ndim);\n\n  /* \"View.MemoryView\":1280\n *     cdef int i\n *     cdef char order = get_best_order(&src, src_ndim)\n *     cdef bint broadcasting = False             # <<<<<<<<<<<<<<\n *     cdef bint direct_copy = False\n *     cdef __Pyx_memviewslice tmp\n */\n  __pyx_v_broadcasting = 0;\n\n  /* \"View.MemoryView\":1281\n *     cdef char order = get_best_order(&src, src_ndim)\n *     cdef bint broadcasting = False\n *     cdef bint direct_copy = False             # <<<<<<<<<<<<<<\n *     cdef __Pyx_memviewslice tmp\n * \n */\n  __pyx_v_direct_copy = 0;\n\n  /* \"View.MemoryView\":1284\n *     cdef __Pyx_memviewslice tmp\n * \n *     if src_ndim < dst_ndim:             # <<<<<<<<<<<<<<\n *         broadcast_leading(&src, src_ndim, dst_ndim)\n *     elif dst_ndim < src_ndim:\n */\n  __pyx_t_2 = ((__pyx_v_src_ndim < __pyx_v_dst_ndim) != 0);\n  if (__pyx_t_2) {\n\n    /* \"View.MemoryView\":1285\n * \n *     if src_ndim < dst_ndim:\n *         broadcast_leading(&src, src_ndim, dst_ndim)             # <<<<<<<<<<<<<<\n *     elif dst_ndim < src_ndim:\n *         broadcast_leading(&dst, dst_ndim, src_ndim)\n */\n    __pyx_memoryview_broadcast_leading((&__pyx_v_src), __pyx_v_src_ndim, __pyx_v_dst_ndim);\n\n    /* \"View.MemoryView\":1284\n *     cdef __Pyx_memviewslice tmp\n * \n *     if src_ndim < dst_ndim:             # <<<<<<<<<<<<<<\n *         broadcast_leading(&src, src_ndim, dst_ndim)\n *     elif dst_ndim < src_ndim:\n */\n    goto __pyx_L3;\n  }\n\n  /* \"View.MemoryView\":1286\n *     if src_ndim < dst_ndim:\n *         broadcast_leading(&src, src_ndim, dst_ndim)\n *     elif dst_ndim < src_ndim:             # <<<<<<<<<<<<<<\n *         broadcast_leading(&dst, dst_ndim, src_ndim)\n * \n */\n  __pyx_t_2 = ((__pyx_v_dst_ndim < __pyx_v_src_ndim) != 0);\n  if (__pyx_t_2) {\n\n    /* \"View.MemoryView\":1287\n *         broadcast_leading(&src, src_ndim, dst_ndim)\n *     elif dst_ndim < src_ndim:\n *         broadcast_leading(&dst, dst_ndim, src_ndim)             # <<<<<<<<<<<<<<\n * \n *     cdef int ndim = max(src_ndim, dst_ndim)\n */\n    __pyx_memoryview_broadcast_leading((&__pyx_v_dst), __pyx_v_dst_ndim, __pyx_v_src_ndim);\n\n    /* \"View.MemoryView\":1286\n *     if src_ndim < dst_ndim:\n *         broadcast_leading(&src, src_ndim, dst_ndim)\n *     elif dst_ndim < src_ndim:             # <<<<<<<<<<<<<<\n *         broadcast_leading(&dst, dst_ndim, src_ndim)\n * \n */\n  }\n  __pyx_L3:;\n\n  /* \"View.MemoryView\":1289\n *         broadcast_leading(&dst, dst_ndim, src_ndim)\n * \n *     cdef int ndim = max(src_ndim, dst_ndim)             # <<<<<<<<<<<<<<\n * \n *     for i in range(ndim):\n */\n  __pyx_t_3 = __pyx_v_dst_ndim;\n  __pyx_t_4 = __pyx_v_src_ndim;\n  if (((__pyx_t_3 > __pyx_t_4) != 0)) {\n    __pyx_t_5 = __pyx_t_3;\n  } else {\n    __pyx_t_5 = __pyx_t_4;\n  }\n  __pyx_v_ndim = __pyx_t_5;\n\n  /* \"View.MemoryView\":1291\n *     cdef int ndim = max(src_ndim, dst_ndim)\n * \n *     for i in range(ndim):             # <<<<<<<<<<<<<<\n *         if src.shape[i] != dst.shape[i]:\n *             if src.shape[i] == 1:\n */\n  __pyx_t_5 = __pyx_v_ndim;\n  __pyx_t_3 = __pyx_t_5;\n  for (__pyx_t_4 = 0; __pyx_t_4 < __pyx_t_3; __pyx_t_4+=1) {\n    __pyx_v_i = __pyx_t_4;\n\n    /* \"View.MemoryView\":1292\n * \n *     for i in range(ndim):\n *         if src.shape[i] != dst.shape[i]:             # <<<<<<<<<<<<<<\n *             if src.shape[i] == 1:\n *                 broadcasting = True\n */\n    __pyx_t_2 = (((__pyx_v_src.shape[__pyx_v_i]) != (__pyx_v_dst.shape[__pyx_v_i])) != 0);\n    if (__pyx_t_2) {\n\n      /* \"View.MemoryView\":1293\n *     for i in range(ndim):\n *         if src.shape[i] != dst.shape[i]:\n *             if src.shape[i] == 1:             # <<<<<<<<<<<<<<\n *                 broadcasting = True\n *                 src.strides[i] = 0\n */\n      __pyx_t_2 = (((__pyx_v_src.shape[__pyx_v_i]) == 1) != 0);\n      if (__pyx_t_2) {\n\n        /* \"View.MemoryView\":1294\n *         if src.shape[i] != dst.shape[i]:\n *             if src.shape[i] == 1:\n *                 broadcasting = True             # <<<<<<<<<<<<<<\n *                 src.strides[i] = 0\n *             else:\n */\n        __pyx_v_broadcasting = 1;\n\n        /* \"View.MemoryView\":1295\n *             if src.shape[i] == 1:\n *                 broadcasting = True\n *                 src.strides[i] = 0             # <<<<<<<<<<<<<<\n *             else:\n *                 _err_extents(i, dst.shape[i], src.shape[i])\n */\n        (__pyx_v_src.strides[__pyx_v_i]) = 0;\n\n        /* \"View.MemoryView\":1293\n *     for i in range(ndim):\n *         if src.shape[i] != dst.shape[i]:\n *             if src.shape[i] == 1:             # <<<<<<<<<<<<<<\n *                 broadcasting = True\n *                 src.strides[i] = 0\n */\n        goto __pyx_L7;\n      }\n\n      /* \"View.MemoryView\":1297\n *                 src.strides[i] = 0\n *             else:\n *                 _err_extents(i, dst.shape[i], src.shape[i])             # <<<<<<<<<<<<<<\n * \n *         if src.suboffsets[i] >= 0:\n */\n      /*else*/ {\n        __pyx_t_6 = __pyx_memoryview_err_extents(__pyx_v_i, (__pyx_v_dst.shape[__pyx_v_i]), (__pyx_v_src.shape[__pyx_v_i])); if (unlikely(__pyx_t_6 == ((int)-1))) __PYX_ERR(2, 1297, __pyx_L1_error)\n      }\n      __pyx_L7:;\n\n      /* \"View.MemoryView\":1292\n * \n *     for i in range(ndim):\n *         if src.shape[i] != dst.shape[i]:             # <<<<<<<<<<<<<<\n *             if src.shape[i] == 1:\n *                 broadcasting = True\n */\n    }\n\n    /* \"View.MemoryView\":1299\n *                 _err_extents(i, dst.shape[i], src.shape[i])\n * \n *         if src.suboffsets[i] >= 0:             # <<<<<<<<<<<<<<\n *             _err_dim(ValueError, \"Dimension %d is not direct\", i)\n * \n */\n    __pyx_t_2 = (((__pyx_v_src.suboffsets[__pyx_v_i]) >= 0) != 0);\n    if (__pyx_t_2) {\n\n      /* \"View.MemoryView\":1300\n * \n *         if src.suboffsets[i] >= 0:\n *             _err_dim(ValueError, \"Dimension %d is not direct\", i)             # <<<<<<<<<<<<<<\n * \n *     if slices_overlap(&src, &dst, ndim, itemsize):\n */\n      __pyx_t_6 = __pyx_memoryview_err_dim(__pyx_builtin_ValueError, ((char *)\"Dimension %d is not direct\"), __pyx_v_i); if (unlikely(__pyx_t_6 == ((int)-1))) __PYX_ERR(2, 1300, __pyx_L1_error)\n\n      /* \"View.MemoryView\":1299\n *                 _err_extents(i, dst.shape[i], src.shape[i])\n * \n *         if src.suboffsets[i] >= 0:             # <<<<<<<<<<<<<<\n *             _err_dim(ValueError, \"Dimension %d is not direct\", i)\n * \n */\n    }\n  }\n\n  /* \"View.MemoryView\":1302\n *             _err_dim(ValueError, \"Dimension %d is not direct\", i)\n * \n *     if slices_overlap(&src, &dst, ndim, itemsize):             # <<<<<<<<<<<<<<\n * \n *         if not slice_is_contig(src, order, ndim):\n */\n  __pyx_t_2 = (__pyx_slices_overlap((&__pyx_v_src), (&__pyx_v_dst), __pyx_v_ndim, __pyx_v_itemsize) != 0);\n  if (__pyx_t_2) {\n\n    /* \"View.MemoryView\":1304\n *     if slices_overlap(&src, &dst, ndim, itemsize):\n * \n *         if not slice_is_contig(src, order, ndim):             # <<<<<<<<<<<<<<\n *             order = get_best_order(&dst, ndim)\n * \n */\n    __pyx_t_2 = ((!(__pyx_memviewslice_is_contig(__pyx_v_src, __pyx_v_order, __pyx_v_ndim) != 0)) != 0);\n    if (__pyx_t_2) {\n\n      /* \"View.MemoryView\":1305\n * \n *         if not slice_is_contig(src, order, ndim):\n *             order = get_best_order(&dst, ndim)             # <<<<<<<<<<<<<<\n * \n *         tmpdata = copy_data_to_temp(&src, &tmp, order, ndim)\n */\n      __pyx_v_order = __pyx_get_best_slice_order((&__pyx_v_dst), __pyx_v_ndim);\n\n      /* \"View.MemoryView\":1304\n *     if slices_overlap(&src, &dst, ndim, itemsize):\n * \n *         if not slice_is_contig(src, order, ndim):             # <<<<<<<<<<<<<<\n *             order = get_best_order(&dst, ndim)\n * \n */\n    }\n\n    /* \"View.MemoryView\":1307\n *             order = get_best_order(&dst, ndim)\n * \n *         tmpdata = copy_data_to_temp(&src, &tmp, order, ndim)             # <<<<<<<<<<<<<<\n *         src = tmp\n * \n */\n    __pyx_t_7 = __pyx_memoryview_copy_data_to_temp((&__pyx_v_src), (&__pyx_v_tmp), __pyx_v_order, __pyx_v_ndim); if (unlikely(__pyx_t_7 == ((void *)NULL))) __PYX_ERR(2, 1307, __pyx_L1_error)\n    __pyx_v_tmpdata = __pyx_t_7;\n\n    /* \"View.MemoryView\":1308\n * \n *         tmpdata = copy_data_to_temp(&src, &tmp, order, ndim)\n *         src = tmp             # <<<<<<<<<<<<<<\n * \n *     if not broadcasting:\n */\n    __pyx_v_src = __pyx_v_tmp;\n\n    /* \"View.MemoryView\":1302\n *             _err_dim(ValueError, \"Dimension %d is not direct\", i)\n * \n *     if slices_overlap(&src, &dst, ndim, itemsize):             # <<<<<<<<<<<<<<\n * \n *         if not slice_is_contig(src, order, ndim):\n */\n  }\n\n  /* \"View.MemoryView\":1310\n *         src = tmp\n * \n *     if not broadcasting:             # <<<<<<<<<<<<<<\n * \n * \n */\n  __pyx_t_2 = ((!(__pyx_v_broadcasting != 0)) != 0);\n  if (__pyx_t_2) {\n\n    /* \"View.MemoryView\":1313\n * \n * \n *         if slice_is_contig(src, 'C', ndim):             # <<<<<<<<<<<<<<\n *             direct_copy = slice_is_contig(dst, 'C', ndim)\n *         elif slice_is_contig(src, 'F', ndim):\n */\n    __pyx_t_2 = (__pyx_memviewslice_is_contig(__pyx_v_src, 'C', __pyx_v_ndim) != 0);\n    if (__pyx_t_2) {\n\n      /* \"View.MemoryView\":1314\n * \n *         if slice_is_contig(src, 'C', ndim):\n *             direct_copy = slice_is_contig(dst, 'C', ndim)             # <<<<<<<<<<<<<<\n *         elif slice_is_contig(src, 'F', ndim):\n *             direct_copy = slice_is_contig(dst, 'F', ndim)\n */\n      __pyx_v_direct_copy = __pyx_memviewslice_is_contig(__pyx_v_dst, 'C', __pyx_v_ndim);\n\n      /* \"View.MemoryView\":1313\n * \n * \n *         if slice_is_contig(src, 'C', ndim):             # <<<<<<<<<<<<<<\n *             direct_copy = slice_is_contig(dst, 'C', ndim)\n *         elif slice_is_contig(src, 'F', ndim):\n */\n      goto __pyx_L12;\n    }\n\n    /* \"View.MemoryView\":1315\n *         if slice_is_contig(src, 'C', ndim):\n *             direct_copy = slice_is_contig(dst, 'C', ndim)\n *         elif slice_is_contig(src, 'F', ndim):             # <<<<<<<<<<<<<<\n *             direct_copy = slice_is_contig(dst, 'F', ndim)\n * \n */\n    __pyx_t_2 = (__pyx_memviewslice_is_contig(__pyx_v_src, 'F', __pyx_v_ndim) != 0);\n    if (__pyx_t_2) {\n\n      /* \"View.MemoryView\":1316\n *             direct_copy = slice_is_contig(dst, 'C', ndim)\n *         elif slice_is_contig(src, 'F', ndim):\n *             direct_copy = slice_is_contig(dst, 'F', ndim)             # <<<<<<<<<<<<<<\n * \n *         if direct_copy:\n */\n      __pyx_v_direct_copy = __pyx_memviewslice_is_contig(__pyx_v_dst, 'F', __pyx_v_ndim);\n\n      /* \"View.MemoryView\":1315\n *         if slice_is_contig(src, 'C', ndim):\n *             direct_copy = slice_is_contig(dst, 'C', ndim)\n *         elif slice_is_contig(src, 'F', ndim):             # <<<<<<<<<<<<<<\n *             direct_copy = slice_is_contig(dst, 'F', ndim)\n * \n */\n    }\n    __pyx_L12:;\n\n    /* \"View.MemoryView\":1318\n *             direct_copy = slice_is_contig(dst, 'F', ndim)\n * \n *         if direct_copy:             # <<<<<<<<<<<<<<\n * \n *             refcount_copying(&dst, dtype_is_object, ndim, False)\n */\n    __pyx_t_2 = (__pyx_v_direct_copy != 0);\n    if (__pyx_t_2) {\n\n      /* \"View.MemoryView\":1320\n *         if direct_copy:\n * \n *             refcount_copying(&dst, dtype_is_object, ndim, False)             # <<<<<<<<<<<<<<\n *             memcpy(dst.data, src.data, slice_get_size(&src, ndim))\n *             refcount_copying(&dst, dtype_is_object, ndim, True)\n */\n      __pyx_memoryview_refcount_copying((&__pyx_v_dst), __pyx_v_dtype_is_object, __pyx_v_ndim, 0);\n\n      /* \"View.MemoryView\":1321\n * \n *             refcount_copying(&dst, dtype_is_object, ndim, False)\n *             memcpy(dst.data, src.data, slice_get_size(&src, ndim))             # <<<<<<<<<<<<<<\n *             refcount_copying(&dst, dtype_is_object, ndim, True)\n *             free(tmpdata)\n */\n      (void)(memcpy(__pyx_v_dst.data, __pyx_v_src.data, __pyx_memoryview_slice_get_size((&__pyx_v_src), __pyx_v_ndim)));\n\n      /* \"View.MemoryView\":1322\n *             refcount_copying(&dst, dtype_is_object, ndim, False)\n *             memcpy(dst.data, src.data, slice_get_size(&src, ndim))\n *             refcount_copying(&dst, dtype_is_object, ndim, True)             # <<<<<<<<<<<<<<\n *             free(tmpdata)\n *             return 0\n */\n      __pyx_memoryview_refcount_copying((&__pyx_v_dst), __pyx_v_dtype_is_object, __pyx_v_ndim, 1);\n\n      /* \"View.MemoryView\":1323\n *             memcpy(dst.data, src.data, slice_get_size(&src, ndim))\n *             refcount_copying(&dst, dtype_is_object, ndim, True)\n *             free(tmpdata)             # <<<<<<<<<<<<<<\n *             return 0\n * \n */\n      free(__pyx_v_tmpdata);\n\n      /* \"View.MemoryView\":1324\n *             refcount_copying(&dst, dtype_is_object, ndim, True)\n *             free(tmpdata)\n *             return 0             # <<<<<<<<<<<<<<\n * \n *     if order == 'F' == get_best_order(&dst, ndim):\n */\n      __pyx_r = 0;\n      goto __pyx_L0;\n\n      /* \"View.MemoryView\":1318\n *             direct_copy = slice_is_contig(dst, 'F', ndim)\n * \n *         if direct_copy:             # <<<<<<<<<<<<<<\n * \n *             refcount_copying(&dst, dtype_is_object, ndim, False)\n */\n    }\n\n    /* \"View.MemoryView\":1310\n *         src = tmp\n * \n *     if not broadcasting:             # <<<<<<<<<<<<<<\n * \n * \n */\n  }\n\n  /* \"View.MemoryView\":1326\n *             return 0\n * \n *     if order == 'F' == get_best_order(&dst, ndim):             # <<<<<<<<<<<<<<\n * \n * \n */\n  __pyx_t_2 = (__pyx_v_order == 'F');\n  if (__pyx_t_2) {\n    __pyx_t_2 = ('F' == __pyx_get_best_slice_order((&__pyx_v_dst), __pyx_v_ndim));\n  }\n  __pyx_t_8 = (__pyx_t_2 != 0);\n  if (__pyx_t_8) {\n\n    /* \"View.MemoryView\":1329\n * \n * \n *         transpose_memslice(&src)             # <<<<<<<<<<<<<<\n *         transpose_memslice(&dst)\n * \n */\n    __pyx_t_5 = __pyx_memslice_transpose((&__pyx_v_src)); if (unlikely(__pyx_t_5 == ((int)0))) __PYX_ERR(2, 1329, __pyx_L1_error)\n\n    /* \"View.MemoryView\":1330\n * \n *         transpose_memslice(&src)\n *         transpose_memslice(&dst)             # <<<<<<<<<<<<<<\n * \n *     refcount_copying(&dst, dtype_is_object, ndim, False)\n */\n    __pyx_t_5 = __pyx_memslice_transpose((&__pyx_v_dst)); if (unlikely(__pyx_t_5 == ((int)0))) __PYX_ERR(2, 1330, __pyx_L1_error)\n\n    /* \"View.MemoryView\":1326\n *             return 0\n * \n *     if order == 'F' == get_best_order(&dst, ndim):             # <<<<<<<<<<<<<<\n * \n * \n */\n  }\n\n  /* \"View.MemoryView\":1332\n *         transpose_memslice(&dst)\n * \n *     refcount_copying(&dst, dtype_is_object, ndim, False)             # <<<<<<<<<<<<<<\n *     copy_strided_to_strided(&src, &dst, ndim, itemsize)\n *     refcount_copying(&dst, dtype_is_object, ndim, True)\n */\n  __pyx_memoryview_refcount_copying((&__pyx_v_dst), __pyx_v_dtype_is_object, __pyx_v_ndim, 0);\n\n  /* \"View.MemoryView\":1333\n * \n *     refcount_copying(&dst, dtype_is_object, ndim, False)\n *     copy_strided_to_strided(&src, &dst, ndim, itemsize)             # <<<<<<<<<<<<<<\n *     refcount_copying(&dst, dtype_is_object, ndim, True)\n * \n */\n  copy_strided_to_strided((&__pyx_v_src), (&__pyx_v_dst), __pyx_v_ndim, __pyx_v_itemsize);\n\n  /* \"View.MemoryView\":1334\n *     refcount_copying(&dst, dtype_is_object, ndim, False)\n *     copy_strided_to_strided(&src, &dst, ndim, itemsize)\n *     refcount_copying(&dst, dtype_is_object, ndim, True)             # <<<<<<<<<<<<<<\n * \n *     free(tmpdata)\n */\n  __pyx_memoryview_refcount_copying((&__pyx_v_dst), __pyx_v_dtype_is_object, __pyx_v_ndim, 1);\n\n  /* \"View.MemoryView\":1336\n *     refcount_copying(&dst, dtype_is_object, ndim, True)\n * \n *     free(tmpdata)             # <<<<<<<<<<<<<<\n *     return 0\n * \n */\n  free(__pyx_v_tmpdata);\n\n  /* \"View.MemoryView\":1337\n * \n *     free(tmpdata)\n *     return 0             # <<<<<<<<<<<<<<\n * \n * @cname('__pyx_memoryview_broadcast_leading')\n */\n  __pyx_r = 0;\n  goto __pyx_L0;\n\n  /* \"View.MemoryView\":1268\n * \n * @cname('__pyx_memoryview_copy_contents')\n * cdef int memoryview_copy_contents(__Pyx_memviewslice src,             # <<<<<<<<<<<<<<\n *                                   __Pyx_memviewslice dst,\n *                                   int src_ndim, int dst_ndim,\n */\n\n  /* function exit code */\n  __pyx_L1_error:;\n  {\n    #ifdef WITH_THREAD\n    PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure();\n    #endif\n    __Pyx_AddTraceback(\"View.MemoryView.memoryview_copy_contents\", __pyx_clineno, __pyx_lineno, __pyx_filename);\n    #ifdef WITH_THREAD\n    __Pyx_PyGILState_Release(__pyx_gilstate_save);\n    #endif\n  }\n  __pyx_r = -1;\n  __pyx_L0:;\n  return __pyx_r;\n}\n\n/* \"View.MemoryView\":1340\n * \n * @cname('__pyx_memoryview_broadcast_leading')\n * cdef void broadcast_leading(__Pyx_memviewslice *mslice,             # <<<<<<<<<<<<<<\n *                             int ndim,\n *                             int ndim_other) nogil:\n */\n\nstatic void __pyx_memoryview_broadcast_leading(__Pyx_memviewslice *__pyx_v_mslice, int __pyx_v_ndim, int __pyx_v_ndim_other) {\n  int __pyx_v_i;\n  int __pyx_v_offset;\n  int __pyx_t_1;\n  int __pyx_t_2;\n  int __pyx_t_3;\n\n  /* \"View.MemoryView\":1344\n *                             int ndim_other) nogil:\n *     cdef int i\n *     cdef int offset = ndim_other - ndim             # <<<<<<<<<<<<<<\n * \n *     for i in range(ndim - 1, -1, -1):\n */\n  __pyx_v_offset = (__pyx_v_ndim_other - __pyx_v_ndim);\n\n  /* \"View.MemoryView\":1346\n *     cdef int offset = ndim_other - ndim\n * \n *     for i in range(ndim - 1, -1, -1):             # <<<<<<<<<<<<<<\n *         mslice.shape[i + offset] = mslice.shape[i]\n *         mslice.strides[i + offset] = mslice.strides[i]\n */\n  for (__pyx_t_1 = (__pyx_v_ndim - 1); __pyx_t_1 > -1; __pyx_t_1-=1) {\n    __pyx_v_i = __pyx_t_1;\n\n    /* \"View.MemoryView\":1347\n * \n *     for i in range(ndim - 1, -1, -1):\n *         mslice.shape[i + offset] = mslice.shape[i]             # <<<<<<<<<<<<<<\n *         mslice.strides[i + offset] = mslice.strides[i]\n *         mslice.suboffsets[i + offset] = mslice.suboffsets[i]\n */\n    (__pyx_v_mslice->shape[(__pyx_v_i + __pyx_v_offset)]) = (__pyx_v_mslice->shape[__pyx_v_i]);\n\n    /* \"View.MemoryView\":1348\n *     for i in range(ndim - 1, -1, -1):\n *         mslice.shape[i + offset] = mslice.shape[i]\n *         mslice.strides[i + offset] = mslice.strides[i]             # <<<<<<<<<<<<<<\n *         mslice.suboffsets[i + offset] = mslice.suboffsets[i]\n * \n */\n    (__pyx_v_mslice->strides[(__pyx_v_i + __pyx_v_offset)]) = (__pyx_v_mslice->strides[__pyx_v_i]);\n\n    /* \"View.MemoryView\":1349\n *         mslice.shape[i + offset] = mslice.shape[i]\n *         mslice.strides[i + offset] = mslice.strides[i]\n *         mslice.suboffsets[i + offset] = mslice.suboffsets[i]             # <<<<<<<<<<<<<<\n * \n *     for i in range(offset):\n */\n    (__pyx_v_mslice->suboffsets[(__pyx_v_i + __pyx_v_offset)]) = (__pyx_v_mslice->suboffsets[__pyx_v_i]);\n  }\n\n  /* \"View.MemoryView\":1351\n *         mslice.suboffsets[i + offset] = mslice.suboffsets[i]\n * \n *     for i in range(offset):             # <<<<<<<<<<<<<<\n *         mslice.shape[i] = 1\n *         mslice.strides[i] = mslice.strides[0]\n */\n  __pyx_t_1 = __pyx_v_offset;\n  __pyx_t_2 = __pyx_t_1;\n  for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) {\n    __pyx_v_i = __pyx_t_3;\n\n    /* \"View.MemoryView\":1352\n * \n *     for i in range(offset):\n *         mslice.shape[i] = 1             # <<<<<<<<<<<<<<\n *         mslice.strides[i] = mslice.strides[0]\n *         mslice.suboffsets[i] = -1\n */\n    (__pyx_v_mslice->shape[__pyx_v_i]) = 1;\n\n    /* \"View.MemoryView\":1353\n *     for i in range(offset):\n *         mslice.shape[i] = 1\n *         mslice.strides[i] = mslice.strides[0]             # <<<<<<<<<<<<<<\n *         mslice.suboffsets[i] = -1\n * \n */\n    (__pyx_v_mslice->strides[__pyx_v_i]) = (__pyx_v_mslice->strides[0]);\n\n    /* \"View.MemoryView\":1354\n *         mslice.shape[i] = 1\n *         mslice.strides[i] = mslice.strides[0]\n *         mslice.suboffsets[i] = -1             # <<<<<<<<<<<<<<\n * \n * \n */\n    (__pyx_v_mslice->suboffsets[__pyx_v_i]) = -1L;\n  }\n\n  /* \"View.MemoryView\":1340\n * \n * @cname('__pyx_memoryview_broadcast_leading')\n * cdef void broadcast_leading(__Pyx_memviewslice *mslice,             # <<<<<<<<<<<<<<\n *                             int ndim,\n *                             int ndim_other) nogil:\n */\n\n  /* function exit code */\n}\n\n/* \"View.MemoryView\":1362\n * \n * @cname('__pyx_memoryview_refcount_copying')\n * cdef void refcount_copying(__Pyx_memviewslice *dst, bint dtype_is_object,             # <<<<<<<<<<<<<<\n *                            int ndim, bint inc) nogil:\n * \n */\n\nstatic void __pyx_memoryview_refcount_copying(__Pyx_memviewslice *__pyx_v_dst, int 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dst.strides, ndim, inc)\n */\n  }\n\n  /* \"View.MemoryView\":1362\n * \n * @cname('__pyx_memoryview_refcount_copying')\n * cdef void refcount_copying(__Pyx_memviewslice *dst, bint dtype_is_object,             # <<<<<<<<<<<<<<\n *                            int ndim, bint inc) nogil:\n * \n */\n\n  /* function exit code */\n}\n\n/* \"View.MemoryView\":1371\n * \n * @cname('__pyx_memoryview_refcount_objects_in_slice_with_gil')\n * cdef void refcount_objects_in_slice_with_gil(char *data, Py_ssize_t *shape,             # <<<<<<<<<<<<<<\n *                                              Py_ssize_t *strides, int ndim,\n *                                              bint inc) with gil:\n */\n\nstatic void __pyx_memoryview_refcount_objects_in_slice_with_gil(char *__pyx_v_data, Py_ssize_t *__pyx_v_shape, Py_ssize_t *__pyx_v_strides, int __pyx_v_ndim, int __pyx_v_inc) {\n  __Pyx_RefNannyDeclarations\n  #ifdef WITH_THREAD\n  PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure();\n  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 __Pyx_PyGILState_Release(__pyx_gilstate_save);\n  #endif\n}\n\n/* \"View.MemoryView\":1377\n * \n * @cname('__pyx_memoryview_refcount_objects_in_slice')\n * cdef void refcount_objects_in_slice(char *data, Py_ssize_t *shape,             # <<<<<<<<<<<<<<\n *                                     Py_ssize_t *strides, int ndim, bint inc):\n *     cdef Py_ssize_t i\n */\n\nstatic void __pyx_memoryview_refcount_objects_in_slice(char *__pyx_v_data, Py_ssize_t *__pyx_v_shape, Py_ssize_t *__pyx_v_strides, int __pyx_v_ndim, int __pyx_v_inc) {\n  CYTHON_UNUSED Py_ssize_t __pyx_v_i;\n  __Pyx_RefNannyDeclarations\n  Py_ssize_t __pyx_t_1;\n  Py_ssize_t __pyx_t_2;\n  Py_ssize_t __pyx_t_3;\n  int __pyx_t_4;\n  __Pyx_RefNannySetupContext(\"refcount_objects_in_slice\", 0);\n\n  /* \"View.MemoryView\":1381\n *     cdef Py_ssize_t i\n * \n *     for i in range(shape[0]):             # <<<<<<<<<<<<<<\n *         if ndim == 1:\n *             if inc:\n */\n  __pyx_t_1 = (__pyx_v_shape[0]);\n  __pyx_t_2 = 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dst.shape, dst.strides, ndim,\n *                          itemsize, item)\n */\n  __pyx_memoryview_refcount_copying(__pyx_v_dst, __pyx_v_dtype_is_object, __pyx_v_ndim, 0);\n\n  /* \"View.MemoryView\":1401\n *                               bint dtype_is_object) nogil:\n *     refcount_copying(dst, dtype_is_object, ndim, False)\n *     _slice_assign_scalar(dst.data, dst.shape, dst.strides, ndim,             # <<<<<<<<<<<<<<\n *                          itemsize, item)\n *     refcount_copying(dst, dtype_is_object, ndim, True)\n */\n  __pyx_memoryview__slice_assign_scalar(__pyx_v_dst->data, __pyx_v_dst->shape, __pyx_v_dst->strides, __pyx_v_ndim, __pyx_v_itemsize, __pyx_v_item);\n\n  /* \"View.MemoryView\":1403\n *     _slice_assign_scalar(dst.data, dst.shape, dst.strides, ndim,\n *                          itemsize, item)\n *     refcount_copying(dst, dtype_is_object, ndim, True)             # <<<<<<<<<<<<<<\n * \n * \n */\n  __pyx_memoryview_refcount_copying(__pyx_v_dst, __pyx_v_dtype_is_object, __pyx_v_ndim, 1);\n\n  /* \"View.MemoryView\":1397\n * \n * @cname('__pyx_memoryview_slice_assign_scalar')\n * cdef void slice_assign_scalar(__Pyx_memviewslice *dst, int ndim,             # <<<<<<<<<<<<<<\n *                               size_t itemsize, void *item,\n *                               bint dtype_is_object) nogil:\n */\n\n  /* function exit code */\n}\n\n/* \"View.MemoryView\":1407\n * \n * @cname('__pyx_memoryview__slice_assign_scalar')\n * cdef void _slice_assign_scalar(char *data, Py_ssize_t *shape,             # <<<<<<<<<<<<<<\n *                               Py_ssize_t *strides, int ndim,\n *                               size_t itemsize, void *item) nogil:\n */\n\nstatic void __pyx_memoryview__slice_assign_scalar(char *__pyx_v_data, Py_ssize_t *__pyx_v_shape, Py_ssize_t *__pyx_v_strides, int __pyx_v_ndim, size_t __pyx_v_itemsize, void *__pyx_v_item) {\n  CYTHON_UNUSED Py_ssize_t __pyx_v_i;\n  Py_ssize_t __pyx_v_stride;\n  Py_ssize_t __pyx_v_extent;\n  int __pyx_t_1;\n  Py_ssize_t __pyx_t_2;\n  Py_ssize_t __pyx_t_3;\n  Py_ssize_t __pyx_t_4;\n\n  /* \"View.MemoryView\":1411\n *                               size_t itemsize, void *item) nogil:\n *     cdef Py_ssize_t i\n *     cdef Py_ssize_t stride = strides[0]             # <<<<<<<<<<<<<<\n *     cdef Py_ssize_t extent = shape[0]\n * \n */\n  __pyx_v_stride = (__pyx_v_strides[0]);\n\n  /* \"View.MemoryView\":1412\n *     cdef Py_ssize_t i\n *     cdef Py_ssize_t stride = strides[0]\n *     cdef Py_ssize_t extent = shape[0]             # <<<<<<<<<<<<<<\n * \n *     if ndim == 1:\n */\n  __pyx_v_extent = (__pyx_v_shape[0]);\n\n  /* \"View.MemoryView\":1414\n *     cdef Py_ssize_t extent = shape[0]\n * \n *     if ndim == 1:             # <<<<<<<<<<<<<<\n *         for i in range(extent):\n *             memcpy(data, item, itemsize)\n */\n  __pyx_t_1 = ((__pyx_v_ndim == 1) != 0);\n  if (__pyx_t_1) {\n\n    /* \"View.MemoryView\":1415\n * \n *     if ndim == 1:\n *         for i in range(extent):             # <<<<<<<<<<<<<<\n *             memcpy(data, item, itemsize)\n *             data += stride\n */\n    __pyx_t_2 = __pyx_v_extent;\n    __pyx_t_3 = __pyx_t_2;\n    for (__pyx_t_4 = 0; __pyx_t_4 < __pyx_t_3; __pyx_t_4+=1) {\n      __pyx_v_i = __pyx_t_4;\n\n      /* \"View.MemoryView\":1416\n *     if ndim == 1:\n *         for i in range(extent):\n *             memcpy(data, item, itemsize)             # <<<<<<<<<<<<<<\n *             data += stride\n *     else:\n */\n      (void)(memcpy(__pyx_v_data, __pyx_v_item, __pyx_v_itemsize));\n\n      /* \"View.MemoryView\":1417\n *         for i in range(extent):\n *             memcpy(data, item, itemsize)\n *             data += stride             # <<<<<<<<<<<<<<\n *     else:\n *         for i in range(extent):\n */\n      __pyx_v_data = (__pyx_v_data + __pyx_v_stride);\n    }\n\n    /* \"View.MemoryView\":1414\n *     cdef Py_ssize_t extent = shape[0]\n * \n *     if ndim == 1:             # <<<<<<<<<<<<<<\n *         for i in range(extent):\n *             memcpy(data, item, itemsize)\n */\n    goto __pyx_L3;\n  }\n\n  /* \"View.MemoryView\":1419\n *             data += stride\n *     else:\n *         for i in range(extent):             # <<<<<<<<<<<<<<\n *             _slice_assign_scalar(data, shape + 1, strides + 1,\n *                                 ndim - 1, itemsize, item)\n */\n  /*else*/ {\n    __pyx_t_2 = __pyx_v_extent;\n    __pyx_t_3 = __pyx_t_2;\n    for (__pyx_t_4 = 0; __pyx_t_4 < __pyx_t_3; __pyx_t_4+=1) {\n      __pyx_v_i = __pyx_t_4;\n\n      /* \"View.MemoryView\":1420\n *     else:\n *         for i in range(extent):\n *             _slice_assign_scalar(data, shape + 1, strides + 1,             # <<<<<<<<<<<<<<\n *                                 ndim - 1, itemsize, item)\n *             data += stride\n */\n      __pyx_memoryview__slice_assign_scalar(__pyx_v_data, (__pyx_v_shape + 1), (__pyx_v_strides + 1), (__pyx_v_ndim - 1), __pyx_v_itemsize, __pyx_v_item);\n\n      /* \"View.MemoryView\":1422\n *             _slice_assign_scalar(data, shape + 1, strides + 1,\n *                                 ndim - 1, itemsize, item)\n *             data += stride             # <<<<<<<<<<<<<<\n * \n * \n */\n      __pyx_v_data = (__pyx_v_data + __pyx_v_stride);\n    }\n  }\n  __pyx_L3:;\n\n  /* \"View.MemoryView\":1407\n * \n * @cname('__pyx_memoryview__slice_assign_scalar')\n * cdef void _slice_assign_scalar(char *data, Py_ssize_t *shape,             # <<<<<<<<<<<<<<\n *                               Py_ssize_t *strides, int ndim,\n *                               size_t itemsize, void *item) nogil:\n */\n\n  /* function exit code */\n}\n\n/* \"(tree fragment)\":1\n * def __pyx_unpickle_Enum(__pyx_type, long __pyx_checksum, __pyx_state):             # <<<<<<<<<<<<<<\n *     cdef object __pyx_PickleError\n *     cdef object __pyx_result\n */\n\n/* Python wrapper */\nstatic PyObject 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(PyObject_CallFinalizerFromDealloc(o)) return;\n  }\n  #endif\n  {\n    PyObject *etype, *eval, *etb;\n    PyErr_Fetch(&etype, &eval, &etb);\n    __Pyx_SET_REFCNT(o, Py_REFCNT(o) + 1);\n    __pyx_array___dealloc__(o);\n    __Pyx_SET_REFCNT(o, Py_REFCNT(o) - 1);\n    PyErr_Restore(etype, eval, etb);\n  }\n  Py_CLEAR(p->mode);\n  Py_CLEAR(p->_format);\n  (*Py_TYPE(o)->tp_free)(o);\n}\nstatic PyObject *__pyx_sq_item_array(PyObject *o, Py_ssize_t i) {\n  PyObject *r;\n  PyObject *x = PyInt_FromSsize_t(i); if(!x) return 0;\n  r = Py_TYPE(o)->tp_as_mapping->mp_subscript(o, x);\n  Py_DECREF(x);\n  return r;\n}\n\nstatic int __pyx_mp_ass_subscript_array(PyObject *o, PyObject *i, PyObject *v) {\n  if (v) {\n    return __pyx_array___setitem__(o, i, v);\n  }\n  else {\n    PyErr_Format(PyExc_NotImplementedError,\n      \"Subscript deletion not supported by %.200s\", Py_TYPE(o)->tp_name);\n    return -1;\n  }\n}\n\nstatic PyObject *__pyx_tp_getattro_array(PyObject *o, PyObject *n) {\n  PyObject *v = __Pyx_PyObject_GenericGetAttr(o, n);\n  if (!v && PyErr_ExceptionMatches(PyExc_AttributeError)) {\n    PyErr_Clear();\n    v = __pyx_array___getattr__(o, n);\n  }\n  return v;\n}\n\nstatic PyObject *__pyx_getprop___pyx_array_memview(PyObject *o, CYTHON_UNUSED void *x) {\n  return __pyx_pw_15View_dot_MemoryView_5array_7memview_1__get__(o);\n}\n\nstatic PyMethodDef __pyx_methods_array[] = {\n  {\"__getattr__\", (PyCFunction)__pyx_array___getattr__, METH_O|METH_COEXIST, 0},\n  {\"__reduce_cython__\", (PyCFunction)__pyx_pw___pyx_array_1__reduce_cython__, METH_NOARGS, 0},\n  {\"__setstate_cython__\", (PyCFunction)__pyx_pw___pyx_array_3__setstate_cython__, METH_O, 0},\n  {0, 0, 0, 0}\n};\n\nstatic struct PyGetSetDef __pyx_getsets_array[] = {\n  {(char *)\"memview\", __pyx_getprop___pyx_array_memview, 0, (char *)0, 0},\n  {0, 0, 0, 0, 0}\n};\n\nstatic PySequenceMethods __pyx_tp_as_sequence_array = {\n  __pyx_array___len__, /*sq_length*/\n  0, /*sq_concat*/\n  0, /*sq_repeat*/\n  __pyx_sq_item_array, /*sq_item*/\n  0, /*sq_slice*/\n  0, /*sq_ass_item*/\n  0, /*sq_ass_slice*/\n  0, /*sq_contains*/\n  0, /*sq_inplace_concat*/\n  0, /*sq_inplace_repeat*/\n};\n\nstatic PyMappingMethods __pyx_tp_as_mapping_array = {\n  __pyx_array___len__, /*mp_length*/\n  __pyx_array___getitem__, /*mp_subscript*/\n  __pyx_mp_ass_subscript_array, /*mp_ass_subscript*/\n};\n\nstatic PyBufferProcs __pyx_tp_as_buffer_array = {\n  #if PY_MAJOR_VERSION < 3\n  0, /*bf_getreadbuffer*/\n  #endif\n  #if PY_MAJOR_VERSION < 3\n  0, /*bf_getwritebuffer*/\n  #endif\n  #if PY_MAJOR_VERSION < 3\n  0, /*bf_getsegcount*/\n  #endif\n  #if PY_MAJOR_VERSION < 3\n  0, /*bf_getcharbuffer*/\n  #endif\n  __pyx_array_getbuffer, /*bf_getbuffer*/\n  0, /*bf_releasebuffer*/\n};\n\nstatic PyTypeObject __pyx_type___pyx_array = {\n  PyVarObject_HEAD_INIT(0, 0)\n  \"im2col_cython.array\", /*tp_name*/\n  sizeof(struct __pyx_array_obj), /*tp_basicsize*/\n  0, /*tp_itemsize*/\n  __pyx_tp_dealloc_array, 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/*tp_getset*/\n  0, /*tp_base*/\n  0, /*tp_dict*/\n  0, /*tp_descr_get*/\n  0, /*tp_descr_set*/\n  0, /*tp_dictoffset*/\n  0, /*tp_init*/\n  0, /*tp_alloc*/\n  __pyx_tp_new_array, /*tp_new*/\n  0, /*tp_free*/\n  0, /*tp_is_gc*/\n  0, /*tp_bases*/\n  0, /*tp_mro*/\n  0, /*tp_cache*/\n  0, /*tp_subclasses*/\n  0, /*tp_weaklist*/\n  0, /*tp_del*/\n  0, /*tp_version_tag*/\n  #if PY_VERSION_HEX >= 0x030400a1\n  0, /*tp_finalize*/\n  #endif\n  #if PY_VERSION_HEX >= 0x030800b1\n  0, /*tp_vectorcall*/\n  #endif\n  #if PY_VERSION_HEX >= 0x030800b4 && PY_VERSION_HEX < 0x03090000\n  0, /*tp_print*/\n  #endif\n};\n\nstatic PyObject *__pyx_tp_new_Enum(PyTypeObject *t, CYTHON_UNUSED PyObject *a, CYTHON_UNUSED PyObject *k) {\n  struct __pyx_MemviewEnum_obj *p;\n  PyObject *o;\n  if (likely((t->tp_flags & Py_TPFLAGS_IS_ABSTRACT) == 0)) {\n    o = (*t->tp_alloc)(t, 0);\n  } else {\n    o = (PyObject *) PyBaseObject_Type.tp_new(t, __pyx_empty_tuple, 0);\n  }\n  if (unlikely(!o)) return 0;\n  p = ((struct __pyx_MemviewEnum_obj *)o);\n  p->name = Py_None; Py_INCREF(Py_None);\n  return o;\n}\n\nstatic void __pyx_tp_dealloc_Enum(PyObject *o) {\n  struct __pyx_MemviewEnum_obj *p = (struct __pyx_MemviewEnum_obj *)o;\n  #if CYTHON_USE_TP_FINALIZE\n  if (unlikely(PyType_HasFeature(Py_TYPE(o), Py_TPFLAGS_HAVE_FINALIZE) && Py_TYPE(o)->tp_finalize) && !_PyGC_FINALIZED(o)) {\n    if (PyObject_CallFinalizerFromDealloc(o)) return;\n  }\n  #endif\n  PyObject_GC_UnTrack(o);\n  Py_CLEAR(p->name);\n  (*Py_TYPE(o)->tp_free)(o);\n}\n\nstatic int __pyx_tp_traverse_Enum(PyObject *o, visitproc v, void *a) {\n  int e;\n  struct __pyx_MemviewEnum_obj *p = (struct __pyx_MemviewEnum_obj *)o;\n  if (p->name) {\n    e = (*v)(p->name, a); if (e) return e;\n  }\n  return 0;\n}\n\nstatic int __pyx_tp_clear_Enum(PyObject *o) {\n  PyObject* tmp;\n  struct __pyx_MemviewEnum_obj *p = (struct __pyx_MemviewEnum_obj *)o;\n  tmp = ((PyObject*)p->name);\n  p->name = Py_None; Py_INCREF(Py_None);\n  Py_XDECREF(tmp);\n  return 0;\n}\n\nstatic PyMethodDef __pyx_methods_Enum[] = {\n  {\"__reduce_cython__\", (PyCFunction)__pyx_pw___pyx_MemviewEnum_1__reduce_cython__, METH_NOARGS, 0},\n  {\"__setstate_cython__\", (PyCFunction)__pyx_pw___pyx_MemviewEnum_3__setstate_cython__, METH_O, 0},\n  {0, 0, 0, 0}\n};\n\nstatic PyTypeObject __pyx_type___pyx_MemviewEnum = {\n  PyVarObject_HEAD_INIT(0, 0)\n  \"im2col_cython.Enum\", /*tp_name*/\n  sizeof(struct __pyx_MemviewEnum_obj), /*tp_basicsize*/\n  0, /*tp_itemsize*/\n  __pyx_tp_dealloc_Enum, /*tp_dealloc*/\n  #if PY_VERSION_HEX < 0x030800b4\n  0, /*tp_print*/\n  #endif\n  #if PY_VERSION_HEX >= 0x030800b4\n  0, /*tp_vectorcall_offset*/\n  #endif\n  0, /*tp_getattr*/\n  0, /*tp_setattr*/\n  #if PY_MAJOR_VERSION < 3\n  0, /*tp_compare*/\n  #endif\n  #if PY_MAJOR_VERSION >= 3\n  0, /*tp_as_async*/\n  #endif\n  __pyx_MemviewEnum___repr__, /*tp_repr*/\n  0, /*tp_as_number*/\n  0, /*tp_as_sequence*/\n  0, /*tp_as_mapping*/\n  0, /*tp_hash*/\n  0, /*tp_call*/\n  0, /*tp_str*/\n  0, /*tp_getattro*/\n  0, /*tp_setattro*/\n  0, /*tp_as_buffer*/\n  Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE|Py_TPFLAGS_HAVE_GC, /*tp_flags*/\n  0, /*tp_doc*/\n  __pyx_tp_traverse_Enum, /*tp_traverse*/\n  __pyx_tp_clear_Enum, /*tp_clear*/\n  0, /*tp_richcompare*/\n  0, /*tp_weaklistoffset*/\n  0, /*tp_iter*/\n  0, /*tp_iternext*/\n  __pyx_methods_Enum, /*tp_methods*/\n  0, /*tp_members*/\n  0, /*tp_getset*/\n  0, /*tp_base*/\n  0, /*tp_dict*/\n  0, /*tp_descr_get*/\n  0, /*tp_descr_set*/\n  0, /*tp_dictoffset*/\n  __pyx_MemviewEnum___init__, /*tp_init*/\n  0, /*tp_alloc*/\n  __pyx_tp_new_Enum, /*tp_new*/\n  0, /*tp_free*/\n  0, /*tp_is_gc*/\n  0, /*tp_bases*/\n  0, /*tp_mro*/\n  0, /*tp_cache*/\n  0, /*tp_subclasses*/\n  0, /*tp_weaklist*/\n  0, /*tp_del*/\n  0, /*tp_version_tag*/\n  #if PY_VERSION_HEX >= 0x030400a1\n  0, /*tp_finalize*/\n  #endif\n  #if PY_VERSION_HEX >= 0x030800b1\n  0, /*tp_vectorcall*/\n  #endif\n  #if PY_VERSION_HEX >= 0x030800b4 && PY_VERSION_HEX < 0x03090000\n  0, /*tp_print*/\n  #endif\n};\nstatic struct __pyx_vtabstruct_memoryview __pyx_vtable_memoryview;\n\nstatic PyObject *__pyx_tp_new_memoryview(PyTypeObject *t, PyObject *a, PyObject *k) {\n  struct __pyx_memoryview_obj *p;\n  PyObject *o;\n  if (likely((t->tp_flags & Py_TPFLAGS_IS_ABSTRACT) == 0)) {\n    o = (*t->tp_alloc)(t, 0);\n  } else {\n    o = (PyObject *) PyBaseObject_Type.tp_new(t, __pyx_empty_tuple, 0);\n  }\n  if (unlikely(!o)) return 0;\n  p = ((struct __pyx_memoryview_obj *)o);\n  p->__pyx_vtab = __pyx_vtabptr_memoryview;\n  p->obj = Py_None; Py_INCREF(Py_None);\n  p->_size = Py_None; Py_INCREF(Py_None);\n  p->_array_interface = Py_None; Py_INCREF(Py_None);\n  p->view.obj = NULL;\n  if (unlikely(__pyx_memoryview___cinit__(o, a, k) < 0)) goto bad;\n  return o;\n  bad:\n  Py_DECREF(o); o = 0;\n  return NULL;\n}\n\nstatic void __pyx_tp_dealloc_memoryview(PyObject *o) {\n  struct __pyx_memoryview_obj *p = (struct __pyx_memoryview_obj *)o;\n  #if CYTHON_USE_TP_FINALIZE\n  if (unlikely(PyType_HasFeature(Py_TYPE(o), Py_TPFLAGS_HAVE_FINALIZE) && Py_TYPE(o)->tp_finalize) && !_PyGC_FINALIZED(o)) {\n    if (PyObject_CallFinalizerFromDealloc(o)) return;\n  }\n  #endif\n  PyObject_GC_UnTrack(o);\n  {\n    PyObject *etype, *eval, *etb;\n    PyErr_Fetch(&etype, &eval, &etb);\n    __Pyx_SET_REFCNT(o, Py_REFCNT(o) + 1);\n    __pyx_memoryview___dealloc__(o);\n    __Pyx_SET_REFCNT(o, Py_REFCNT(o) - 1);\n    PyErr_Restore(etype, eval, etb);\n  }\n  Py_CLEAR(p->obj);\n  Py_CLEAR(p->_size);\n  Py_CLEAR(p->_array_interface);\n  (*Py_TYPE(o)->tp_free)(o);\n}\n\nstatic int __pyx_tp_traverse_memoryview(PyObject *o, visitproc v, void *a) {\n  int e;\n  struct __pyx_memoryview_obj *p = (struct __pyx_memoryview_obj *)o;\n  if (p->obj) {\n    e = (*v)(p->obj, a); if (e) return e;\n  }\n  if (p->_size) {\n    e = (*v)(p->_size, a); if (e) return e;\n  }\n  if (p->_array_interface) {\n    e = (*v)(p->_array_interface, a); if (e) return e;\n  }\n  if (p->view.obj) {\n    e = (*v)(p->view.obj, a); if (e) return e;\n  }\n  return 0;\n}\n\nstatic int __pyx_tp_clear_memoryview(PyObject *o) {\n  PyObject* tmp;\n  struct __pyx_memoryview_obj *p = (struct __pyx_memoryview_obj *)o;\n  tmp = ((PyObject*)p->obj);\n  p->obj = Py_None; Py_INCREF(Py_None);\n  Py_XDECREF(tmp);\n  tmp = ((PyObject*)p->_size);\n  p->_size = Py_None; Py_INCREF(Py_None);\n  Py_XDECREF(tmp);\n  tmp = ((PyObject*)p->_array_interface);\n  p->_array_interface = Py_None; Py_INCREF(Py_None);\n  Py_XDECREF(tmp);\n  Py_CLEAR(p->view.obj);\n  return 0;\n}\nstatic PyObject *__pyx_sq_item_memoryview(PyObject *o, Py_ssize_t i) {\n  PyObject *r;\n  PyObject *x = PyInt_FromSsize_t(i); if(!x) return 0;\n  r = Py_TYPE(o)->tp_as_mapping->mp_subscript(o, x);\n  Py_DECREF(x);\n  return r;\n}\n\nstatic int __pyx_mp_ass_subscript_memoryview(PyObject *o, PyObject *i, PyObject *v) {\n  if (v) {\n    return __pyx_memoryview___setitem__(o, i, v);\n  }\n  else {\n    PyErr_Format(PyExc_NotImplementedError,\n      \"Subscript deletion not supported by %.200s\", Py_TYPE(o)->tp_name);\n    return -1;\n  }\n}\n\nstatic PyObject *__pyx_getprop___pyx_memoryview_T(PyObject *o, CYTHON_UNUSED void *x) {\n  return __pyx_pw_15View_dot_MemoryView_10memoryview_1T_1__get__(o);\n}\n\nstatic PyObject *__pyx_getprop___pyx_memoryview_base(PyObject *o, CYTHON_UNUSED void *x) {\n  return __pyx_pw_15View_dot_MemoryView_10memoryview_4base_1__get__(o);\n}\n\nstatic PyObject *__pyx_getprop___pyx_memoryview_shape(PyObject *o, CYTHON_UNUSED void *x) {\n  return __pyx_pw_15View_dot_MemoryView_10memoryview_5shape_1__get__(o);\n}\n\nstatic PyObject *__pyx_getprop___pyx_memoryview_strides(PyObject *o, CYTHON_UNUSED void *x) {\n  return __pyx_pw_15View_dot_MemoryView_10memoryview_7strides_1__get__(o);\n}\n\nstatic PyObject *__pyx_getprop___pyx_memoryview_suboffsets(PyObject *o, CYTHON_UNUSED void *x) {\n  return __pyx_pw_15View_dot_MemoryView_10memoryview_10suboffsets_1__get__(o);\n}\n\nstatic PyObject *__pyx_getprop___pyx_memoryview_ndim(PyObject *o, CYTHON_UNUSED void *x) {\n  return __pyx_pw_15View_dot_MemoryView_10memoryview_4ndim_1__get__(o);\n}\n\nstatic PyObject *__pyx_getprop___pyx_memoryview_itemsize(PyObject *o, CYTHON_UNUSED void *x) {\n  return __pyx_pw_15View_dot_MemoryView_10memoryview_8itemsize_1__get__(o);\n}\n\nstatic PyObject *__pyx_getprop___pyx_memoryview_nbytes(PyObject *o, CYTHON_UNUSED void *x) {\n  return __pyx_pw_15View_dot_MemoryView_10memoryview_6nbytes_1__get__(o);\n}\n\nstatic PyObject *__pyx_getprop___pyx_memoryview_size(PyObject *o, CYTHON_UNUSED void *x) {\n  return __pyx_pw_15View_dot_MemoryView_10memoryview_4size_1__get__(o);\n}\n\nstatic PyMethodDef __pyx_methods_memoryview[] = {\n  {\"is_c_contig\", (PyCFunction)__pyx_memoryview_is_c_contig, METH_NOARGS, 0},\n  {\"is_f_contig\", (PyCFunction)__pyx_memoryview_is_f_contig, METH_NOARGS, 0},\n  {\"copy\", 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*)\"nbytes\", __pyx_getprop___pyx_memoryview_nbytes, 0, (char *)0, 0},\n  {(char *)\"size\", __pyx_getprop___pyx_memoryview_size, 0, (char *)0, 0},\n  {0, 0, 0, 0, 0}\n};\n\nstatic PySequenceMethods __pyx_tp_as_sequence_memoryview = {\n  __pyx_memoryview___len__, /*sq_length*/\n  0, /*sq_concat*/\n  0, /*sq_repeat*/\n  __pyx_sq_item_memoryview, /*sq_item*/\n  0, /*sq_slice*/\n  0, /*sq_ass_item*/\n  0, /*sq_ass_slice*/\n  0, /*sq_contains*/\n  0, /*sq_inplace_concat*/\n  0, /*sq_inplace_repeat*/\n};\n\nstatic PyMappingMethods __pyx_tp_as_mapping_memoryview = {\n  __pyx_memoryview___len__, /*mp_length*/\n  __pyx_memoryview___getitem__, /*mp_subscript*/\n  __pyx_mp_ass_subscript_memoryview, /*mp_ass_subscript*/\n};\n\nstatic PyBufferProcs __pyx_tp_as_buffer_memoryview = {\n  #if PY_MAJOR_VERSION < 3\n  0, /*bf_getreadbuffer*/\n  #endif\n  #if PY_MAJOR_VERSION < 3\n  0, /*bf_getwritebuffer*/\n  #endif\n  #if PY_MAJOR_VERSION < 3\n  0, /*bf_getsegcount*/\n  #endif\n  #if PY_MAJOR_VERSION < 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_PyString_Eq(**argname, key))) {\n                        goto arg_passed_twice;\n                    }\n                    argname++;\n                }\n            }\n        } else\n        #endif\n        if (likely(PyUnicode_Check(key))) {\n            while (*name) {\n                int cmp = (**name == key) ? 0 :\n                #if !CYTHON_COMPILING_IN_PYPY && PY_MAJOR_VERSION >= 3\n                    (__Pyx_PyUnicode_GET_LENGTH(**name) != __Pyx_PyUnicode_GET_LENGTH(key)) ? 1 :\n                #endif\n                    PyUnicode_Compare(**name, key);\n                if (cmp < 0 && unlikely(PyErr_Occurred())) goto bad;\n                if (cmp == 0) {\n                    values[name-argnames] = value;\n                    break;\n                }\n                name++;\n            }\n            if (*name) continue;\n            else {\n                PyObject*** argname = argnames;\n                while (argname != first_kw_arg) {\n                    int cmp = (**argname == key) ? 0 :\n                    #if !CYTHON_COMPILING_IN_PYPY && PY_MAJOR_VERSION >= 3\n                        (__Pyx_PyUnicode_GET_LENGTH(**argname) != __Pyx_PyUnicode_GET_LENGTH(key)) ? 1 :\n                    #endif\n                        PyUnicode_Compare(**argname, key);\n                    if (cmp < 0 && unlikely(PyErr_Occurred())) goto bad;\n                    if (cmp == 0) goto arg_passed_twice;\n                    argname++;\n                }\n            }\n        } else\n            goto invalid_keyword_type;\n        if (kwds2) {\n            if (unlikely(PyDict_SetItem(kwds2, key, value))) goto bad;\n        } else {\n            goto invalid_keyword;\n        }\n    }\n    return 0;\narg_passed_twice:\n    __Pyx_RaiseDoubleKeywordsError(function_name, key);\n    goto bad;\ninvalid_keyword_type:\n    PyErr_Format(PyExc_TypeError,\n        \"%.200s() keywords must be strings\", function_name);\n    goto bad;\ninvalid_keyword:\n    PyErr_Format(PyExc_TypeError,\n    #if PY_MAJOR_VERSION < 3\n        \"%.200s() got an unexpected keyword argument '%.200s'\",\n        function_name, PyString_AsString(key));\n    #else\n        \"%s() got an unexpected keyword argument '%U'\",\n        function_name, key);\n    #endif\nbad:\n    return -1;\n}\n\n/* GetItemInt */\nstatic PyObject *__Pyx_GetItemInt_Generic(PyObject *o, PyObject* j) {\n    PyObject *r;\n    if (!j) return NULL;\n    r = PyObject_GetItem(o, j);\n    Py_DECREF(j);\n    return r;\n}\nstatic CYTHON_INLINE PyObject *__Pyx_GetItemInt_List_Fast(PyObject *o, Py_ssize_t i,\n                                                              CYTHON_NCP_UNUSED int wraparound,\n                                                              CYTHON_NCP_UNUSED int boundscheck) {\n#if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS\n    Py_ssize_t wrapped_i = i;\n    if (wraparound & unlikely(i < 0)) {\n        wrapped_i += PyList_GET_SIZE(o);\n    }\n    if ((!boundscheck) || likely(__Pyx_is_valid_index(wrapped_i, PyList_GET_SIZE(o)))) {\n        PyObject *r = PyList_GET_ITEM(o, wrapped_i);\n        Py_INCREF(r);\n        return r;\n    }\n    return __Pyx_GetItemInt_Generic(o, PyInt_FromSsize_t(i));\n#else\n    return PySequence_GetItem(o, i);\n#endif\n}\nstatic CYTHON_INLINE PyObject *__Pyx_GetItemInt_Tuple_Fast(PyObject *o, Py_ssize_t i,\n                                                              CYTHON_NCP_UNUSED int wraparound,\n                                                              CYTHON_NCP_UNUSED int boundscheck) {\n#if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS\n    Py_ssize_t wrapped_i = i;\n    if (wraparound & unlikely(i < 0)) {\n        wrapped_i += PyTuple_GET_SIZE(o);\n    }\n    if ((!boundscheck) || likely(__Pyx_is_valid_index(wrapped_i, PyTuple_GET_SIZE(o)))) {\n        PyObject *r = PyTuple_GET_ITEM(o, wrapped_i);\n        Py_INCREF(r);\n        return r;\n    }\n    return __Pyx_GetItemInt_Generic(o, PyInt_FromSsize_t(i));\n#else\n    return PySequence_GetItem(o, i);\n#endif\n}\nstatic CYTHON_INLINE PyObject *__Pyx_GetItemInt_Fast(PyObject *o, Py_ssize_t i, int is_list,\n                                                     CYTHON_NCP_UNUSED int wraparound,\n                                                     CYTHON_NCP_UNUSED int boundscheck) {\n#if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS && CYTHON_USE_TYPE_SLOTS\n    if (is_list || PyList_CheckExact(o)) {\n        Py_ssize_t n = ((!wraparound) | likely(i >= 0)) ? i : i + PyList_GET_SIZE(o);\n        if ((!boundscheck) || (likely(__Pyx_is_valid_index(n, PyList_GET_SIZE(o))))) {\n            PyObject *r = PyList_GET_ITEM(o, n);\n            Py_INCREF(r);\n            return r;\n        }\n    }\n    else if (PyTuple_CheckExact(o)) {\n        Py_ssize_t n = ((!wraparound) | likely(i >= 0)) ? i : i + PyTuple_GET_SIZE(o);\n        if ((!boundscheck) || likely(__Pyx_is_valid_index(n, PyTuple_GET_SIZE(o)))) {\n            PyObject *r = PyTuple_GET_ITEM(o, n);\n            Py_INCREF(r);\n            return r;\n        }\n    } else {\n        PySequenceMethods *m = Py_TYPE(o)->tp_as_sequence;\n        if (likely(m && m->sq_item)) {\n            if (wraparound && unlikely(i < 0) && likely(m->sq_length)) {\n                Py_ssize_t l = m->sq_length(o);\n                if (likely(l >= 0)) {\n                    i += l;\n                } else {\n                    if (!PyErr_ExceptionMatches(PyExc_OverflowError))\n                        return NULL;\n                    PyErr_Clear();\n                }\n            }\n            return m->sq_item(o, i);\n        }\n    }\n#else\n    if (is_list || PySequence_Check(o)) {\n        return PySequence_GetItem(o, i);\n    }\n#endif\n    return __Pyx_GetItemInt_Generic(o, PyInt_FromSsize_t(i));\n}\n\n/* DictGetItem */\n#if PY_MAJOR_VERSION >= 3 && !CYTHON_COMPILING_IN_PYPY\nstatic PyObject *__Pyx_PyDict_GetItem(PyObject *d, PyObject* key) {\n    PyObject *value;\n    value = PyDict_GetItemWithError(d, key);\n    if (unlikely(!value)) {\n        if (!PyErr_Occurred()) {\n            if (unlikely(PyTuple_Check(key))) {\n                PyObject* args = PyTuple_Pack(1, key);\n                if (likely(args)) {\n                    PyErr_SetObject(PyExc_KeyError, args);\n                    Py_DECREF(args);\n                }\n            } else {\n                PyErr_SetObject(PyExc_KeyError, key);\n            }\n        }\n        return NULL;\n    }\n    Py_INCREF(value);\n    return value;\n}\n#endif\n\n/* PyCFunctionFastCall */\n#if CYTHON_FAST_PYCCALL\nstatic CYTHON_INLINE PyObject * __Pyx_PyCFunction_FastCall(PyObject *func_obj, PyObject **args, Py_ssize_t nargs) {\n    PyCFunctionObject *func = (PyCFunctionObject*)func_obj;\n    PyCFunction meth = PyCFunction_GET_FUNCTION(func);\n    PyObject *self = PyCFunction_GET_SELF(func);\n    int flags = PyCFunction_GET_FLAGS(func);\n    assert(PyCFunction_Check(func));\n    assert(METH_FASTCALL == (flags & ~(METH_CLASS | METH_STATIC | METH_COEXIST | METH_KEYWORDS | METH_STACKLESS)));\n    assert(nargs >= 0);\n    assert(nargs == 0 || args != NULL);\n    /* _PyCFunction_FastCallDict() must not be called with an exception set,\n       because it may clear it (directly or indirectly) and so the\n       caller loses its exception */\n    assert(!PyErr_Occurred());\n    if ((PY_VERSION_HEX < 0x030700A0) || unlikely(flags & METH_KEYWORDS)) {\n        return (*((__Pyx_PyCFunctionFastWithKeywords)(void*)meth)) (self, args, nargs, NULL);\n    } else {\n        return (*((__Pyx_PyCFunctionFast)(void*)meth)) (self, args, nargs);\n    }\n}\n#endif\n\n/* PyFunctionFastCall */\n#if CYTHON_FAST_PYCALL\nstatic PyObject* __Pyx_PyFunction_FastCallNoKw(PyCodeObject *co, PyObject **args, Py_ssize_t na,\n                                               PyObject *globals) {\n    PyFrameObject *f;\n    PyThreadState *tstate = __Pyx_PyThreadState_Current;\n    PyObject **fastlocals;\n    Py_ssize_t i;\n    PyObject *result;\n    assert(globals != NULL);\n    /* XXX Perhaps we should create a specialized\n       PyFrame_New() that doesn't take locals, but does\n       take builtins without sanity checking them.\n       */\n    assert(tstate != NULL);\n    f = PyFrame_New(tstate, co, globals, NULL);\n    if (f == NULL) {\n        return NULL;\n    }\n    fastlocals = __Pyx_PyFrame_GetLocalsplus(f);\n    for (i = 0; i < na; i++) {\n        Py_INCREF(*args);\n        fastlocals[i] = *args++;\n    }\n    result = PyEval_EvalFrameEx(f,0);\n    ++tstate->recursion_depth;\n    Py_DECREF(f);\n    --tstate->recursion_depth;\n    return result;\n}\n#if 1 || PY_VERSION_HEX < 0x030600B1\nstatic PyObject *__Pyx_PyFunction_FastCallDict(PyObject *func, PyObject **args, Py_ssize_t nargs, PyObject *kwargs) {\n    PyCodeObject *co = (PyCodeObject *)PyFunction_GET_CODE(func);\n    PyObject *globals = PyFunction_GET_GLOBALS(func);\n    PyObject *argdefs = PyFunction_GET_DEFAULTS(func);\n    PyObject *closure;\n#if PY_MAJOR_VERSION >= 3\n    PyObject *kwdefs;\n#endif\n    PyObject *kwtuple, **k;\n    PyObject **d;\n    Py_ssize_t nd;\n    Py_ssize_t nk;\n    PyObject *result;\n    assert(kwargs == NULL || PyDict_Check(kwargs));\n    nk = kwargs ? PyDict_Size(kwargs) : 0;\n    if (Py_EnterRecursiveCall((char*)\" while calling a Python object\")) {\n        return NULL;\n    }\n    if (\n#if PY_MAJOR_VERSION >= 3\n            co->co_kwonlyargcount == 0 &&\n#endif\n            likely(kwargs == NULL || nk == 0) &&\n            co->co_flags == (CO_OPTIMIZED | CO_NEWLOCALS | CO_NOFREE)) {\n        if (argdefs == NULL && co->co_argcount == nargs) {\n            result = __Pyx_PyFunction_FastCallNoKw(co, args, nargs, globals);\n            goto done;\n        }\n        else if (nargs == 0 && argdefs != NULL\n                 && co->co_argcount == Py_SIZE(argdefs)) {\n            /* function called with no arguments, but all parameters have\n               a default value: use default values as arguments .*/\n            args = &PyTuple_GET_ITEM(argdefs, 0);\n            result =__Pyx_PyFunction_FastCallNoKw(co, args, Py_SIZE(argdefs), globals);\n            goto done;\n        }\n    }\n    if (kwargs != NULL) {\n        Py_ssize_t pos, i;\n        kwtuple = PyTuple_New(2 * nk);\n        if (kwtuple == NULL) {\n            result = NULL;\n            goto done;\n        }\n        k = &PyTuple_GET_ITEM(kwtuple, 0);\n        pos = i = 0;\n        while (PyDict_Next(kwargs, &pos, &k[i], &k[i+1])) {\n            Py_INCREF(k[i]);\n            Py_INCREF(k[i+1]);\n            i += 2;\n        }\n        nk = i / 2;\n    }\n    else {\n        kwtuple = NULL;\n        k = NULL;\n    }\n    closure = PyFunction_GET_CLOSURE(func);\n#if PY_MAJOR_VERSION >= 3\n    kwdefs = PyFunction_GET_KW_DEFAULTS(func);\n#endif\n    if (argdefs != NULL) {\n        d = &PyTuple_GET_ITEM(argdefs, 0);\n        nd = Py_SIZE(argdefs);\n    }\n    else {\n        d = NULL;\n        nd = 0;\n    }\n#if PY_MAJOR_VERSION >= 3\n    result = PyEval_EvalCodeEx((PyObject*)co, globals, (PyObject *)NULL,\n                               args, (int)nargs,\n                               k, (int)nk,\n                               d, (int)nd, kwdefs, closure);\n#else\n    result = PyEval_EvalCodeEx(co, globals, (PyObject *)NULL,\n                               args, (int)nargs,\n                               k, (int)nk,\n                               d, (int)nd, closure);\n#endif\n    Py_XDECREF(kwtuple);\ndone:\n    Py_LeaveRecursiveCall();\n    return result;\n}\n#endif\n#endif\n\n/* PyObjectCall */\n#if CYTHON_COMPILING_IN_CPYTHON\nstatic CYTHON_INLINE PyObject* __Pyx_PyObject_Call(PyObject *func, PyObject *arg, PyObject *kw) {\n    PyObject *result;\n    ternaryfunc call = func->ob_type->tp_call;\n    if (unlikely(!call))\n        return PyObject_Call(func, arg, kw);\n    if (unlikely(Py_EnterRecursiveCall((char*)\" while calling a Python object\")))\n        return NULL;\n    result = (*call)(func, arg, kw);\n    Py_LeaveRecursiveCall();\n    if (unlikely(!result) && unlikely(!PyErr_Occurred())) {\n        PyErr_SetString(\n            PyExc_SystemError,\n            \"NULL result without error in PyObject_Call\");\n    }\n    return result;\n}\n#endif\n\n/* PyObjectCallMethO */\n#if CYTHON_COMPILING_IN_CPYTHON\nstatic CYTHON_INLINE PyObject* __Pyx_PyObject_CallMethO(PyObject *func, PyObject *arg) {\n    PyObject *self, *result;\n    PyCFunction cfunc;\n    cfunc = PyCFunction_GET_FUNCTION(func);\n    self = PyCFunction_GET_SELF(func);\n    if (unlikely(Py_EnterRecursiveCall((char*)\" while calling a Python object\")))\n        return NULL;\n    result = cfunc(self, arg);\n    Py_LeaveRecursiveCall();\n    if (unlikely(!result) && unlikely(!PyErr_Occurred())) {\n        PyErr_SetString(\n            PyExc_SystemError,\n            \"NULL result without error in PyObject_Call\");\n    }\n    return result;\n}\n#endif\n\n/* PyObjectCallOneArg */\n#if CYTHON_COMPILING_IN_CPYTHON\nstatic PyObject* __Pyx__PyObject_CallOneArg(PyObject *func, PyObject *arg) {\n    PyObject *result;\n    PyObject *args = PyTuple_New(1);\n    if (unlikely(!args)) return NULL;\n    Py_INCREF(arg);\n    PyTuple_SET_ITEM(args, 0, arg);\n    result = __Pyx_PyObject_Call(func, args, NULL);\n    Py_DECREF(args);\n    return result;\n}\nstatic CYTHON_INLINE PyObject* __Pyx_PyObject_CallOneArg(PyObject *func, PyObject *arg) {\n#if CYTHON_FAST_PYCALL\n    if (PyFunction_Check(func)) {\n        return __Pyx_PyFunction_FastCall(func, &arg, 1);\n    }\n#endif\n    if (likely(PyCFunction_Check(func))) {\n        if (likely(PyCFunction_GET_FLAGS(func) & METH_O)) {\n            return __Pyx_PyObject_CallMethO(func, arg);\n#if CYTHON_FAST_PYCCALL\n        } else if (PyCFunction_GET_FLAGS(func) & METH_FASTCALL) {\n            return __Pyx_PyCFunction_FastCall(func, &arg, 1);\n#endif\n        }\n    }\n    return __Pyx__PyObject_CallOneArg(func, arg);\n}\n#else\nstatic CYTHON_INLINE PyObject* __Pyx_PyObject_CallOneArg(PyObject *func, PyObject *arg) {\n    PyObject *result;\n    PyObject *args = PyTuple_Pack(1, arg);\n    if (unlikely(!args)) return NULL;\n    result = __Pyx_PyObject_Call(func, args, NULL);\n    Py_DECREF(args);\n    return result;\n}\n#endif\n\n/* PyErrFetchRestore */\n#if CYTHON_FAST_THREAD_STATE\nstatic CYTHON_INLINE void __Pyx_ErrRestoreInState(PyThreadState *tstate, PyObject *type, PyObject *value, PyObject *tb) {\n    PyObject *tmp_type, *tmp_value, *tmp_tb;\n    tmp_type = tstate->curexc_type;\n    tmp_value = tstate->curexc_value;\n    tmp_tb = tstate->curexc_traceback;\n    tstate->curexc_type = type;\n    tstate->curexc_value = value;\n    tstate->curexc_traceback = tb;\n    Py_XDECREF(tmp_type);\n    Py_XDECREF(tmp_value);\n    Py_XDECREF(tmp_tb);\n}\nstatic CYTHON_INLINE void __Pyx_ErrFetchInState(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) {\n    *type = tstate->curexc_type;\n    *value = tstate->curexc_value;\n    *tb = tstate->curexc_traceback;\n    tstate->curexc_type = 0;\n    tstate->curexc_value = 0;\n    tstate->curexc_traceback = 0;\n}\n#endif\n\n/* RaiseException */\n#if PY_MAJOR_VERSION < 3\nstatic void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb,\n                        CYTHON_UNUSED PyObject *cause) {\n    __Pyx_PyThreadState_declare\n    Py_XINCREF(type);\n    if (!value || value == Py_None)\n        value = NULL;\n    else\n        Py_INCREF(value);\n    if (!tb || tb == Py_None)\n        tb = NULL;\n    else {\n        Py_INCREF(tb);\n        if (!PyTraceBack_Check(tb)) {\n            PyErr_SetString(PyExc_TypeError,\n                \"raise: arg 3 must be a traceback or None\");\n            goto raise_error;\n        }\n    }\n    if (PyType_Check(type)) {\n#if CYTHON_COMPILING_IN_PYPY\n        if (!value) {\n            Py_INCREF(Py_None);\n            value = Py_None;\n        }\n#endif\n        PyErr_NormalizeException(&type, &value, &tb);\n    } else {\n        if (value) {\n            PyErr_SetString(PyExc_TypeError,\n                \"instance exception may not have a separate value\");\n            goto raise_error;\n        }\n        value = type;\n        type = (PyObject*) Py_TYPE(type);\n        Py_INCREF(type);\n        if (!PyType_IsSubtype((PyTypeObject *)type, (PyTypeObject *)PyExc_BaseException)) {\n            PyErr_SetString(PyExc_TypeError,\n                \"raise: exception class must be a subclass of BaseException\");\n            goto raise_error;\n        }\n    }\n    __Pyx_PyThreadState_assign\n    __Pyx_ErrRestore(type, value, tb);\n    return;\nraise_error:\n    Py_XDECREF(value);\n    Py_XDECREF(type);\n    Py_XDECREF(tb);\n    return;\n}\n#else\nstatic void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb, PyObject *cause) {\n    PyObject* owned_instance = NULL;\n    if (tb == Py_None) {\n        tb = 0;\n    } else if (tb && !PyTraceBack_Check(tb)) {\n        PyErr_SetString(PyExc_TypeError,\n            \"raise: arg 3 must be a traceback or None\");\n        goto bad;\n    }\n    if (value == Py_None)\n        value = 0;\n    if (PyExceptionInstance_Check(type)) {\n        if (value) {\n            PyErr_SetString(PyExc_TypeError,\n                \"instance exception may not have a separate value\");\n            goto bad;\n        }\n        value = type;\n        type = (PyObject*) Py_TYPE(value);\n    } else if (PyExceptionClass_Check(type)) {\n        PyObject *instance_class = NULL;\n        if (value && PyExceptionInstance_Check(value)) {\n            instance_class = (PyObject*) Py_TYPE(value);\n            if (instance_class != type) {\n                int is_subclass = PyObject_IsSubclass(instance_class, type);\n                if (!is_subclass) {\n                    instance_class = NULL;\n                } else if (unlikely(is_subclass == -1)) {\n                    goto bad;\n                } else {\n                    type = instance_class;\n                }\n            }\n        }\n        if (!instance_class) {\n            PyObject *args;\n            if (!value)\n                args = PyTuple_New(0);\n            else if (PyTuple_Check(value)) {\n                Py_INCREF(value);\n                args = value;\n            } else\n                args = PyTuple_Pack(1, value);\n            if (!args)\n                goto bad;\n            owned_instance = PyObject_Call(type, args, NULL);\n            Py_DECREF(args);\n            if (!owned_instance)\n                goto bad;\n            value = owned_instance;\n            if (!PyExceptionInstance_Check(value)) {\n                PyErr_Format(PyExc_TypeError,\n                             \"calling %R should have returned an instance of \"\n                             \"BaseException, not %R\",\n                             type, Py_TYPE(value));\n                goto bad;\n            }\n        }\n    } else {\n        PyErr_SetString(PyExc_TypeError,\n            \"raise: exception class must be a subclass of BaseException\");\n        goto bad;\n    }\n    if (cause) {\n        PyObject *fixed_cause;\n        if (cause == Py_None) {\n            fixed_cause = NULL;\n        } else if (PyExceptionClass_Check(cause)) {\n            fixed_cause = PyObject_CallObject(cause, NULL);\n            if (fixed_cause == NULL)\n                goto bad;\n        } else if (PyExceptionInstance_Check(cause)) {\n            fixed_cause = cause;\n            Py_INCREF(fixed_cause);\n        } else {\n            PyErr_SetString(PyExc_TypeError,\n                            \"exception causes must derive from \"\n                            \"BaseException\");\n            goto bad;\n        }\n        PyException_SetCause(value, fixed_cause);\n    }\n    PyErr_SetObject(type, value);\n    if (tb) {\n#if CYTHON_COMPILING_IN_PYPY\n        PyObject *tmp_type, *tmp_value, *tmp_tb;\n        PyErr_Fetch(&tmp_type, &tmp_value, &tmp_tb);\n        Py_INCREF(tb);\n        PyErr_Restore(tmp_type, tmp_value, tb);\n        Py_XDECREF(tmp_tb);\n#else\n        PyThreadState *tstate = __Pyx_PyThreadState_Current;\n        PyObject* tmp_tb = tstate->curexc_traceback;\n        if (tb != tmp_tb) {\n            Py_INCREF(tb);\n            tstate->curexc_traceback = tb;\n            Py_XDECREF(tmp_tb);\n        }\n#endif\n    }\nbad:\n    Py_XDECREF(owned_instance);\n    return;\n}\n#endif\n\n/* UnicodeAsUCS4 */\nstatic CYTHON_INLINE Py_UCS4 __Pyx_PyUnicode_AsPy_UCS4(PyObject* x) {\n   Py_ssize_t length;\n   #if CYTHON_PEP393_ENABLED\n   length = PyUnicode_GET_LENGTH(x);\n   if (likely(length == 1)) {\n       return PyUnicode_READ_CHAR(x, 0);\n   }\n   #else\n   length = PyUnicode_GET_SIZE(x);\n   if (likely(length == 1)) {\n       return PyUnicode_AS_UNICODE(x)[0];\n   }\n   #if Py_UNICODE_SIZE == 2\n   else if (PyUnicode_GET_SIZE(x) == 2) {\n       Py_UCS4 high_val = PyUnicode_AS_UNICODE(x)[0];\n       if (high_val >= 0xD800 && high_val <= 0xDBFF) {\n           Py_UCS4 low_val = PyUnicode_AS_UNICODE(x)[1];\n           if (low_val >= 0xDC00 && low_val <= 0xDFFF) {\n               return 0x10000 + (((high_val & ((1<<10)-1)) << 10) | (low_val & ((1<<10)-1)));\n           }\n       }\n   }\n   #endif\n   #endif\n   PyErr_Format(PyExc_ValueError,\n                \"only single character unicode strings can be converted to Py_UCS4, \"\n                \"got length %\" CYTHON_FORMAT_SSIZE_T \"d\", length);\n   return (Py_UCS4)-1;\n}\n\n/* object_ord */\nstatic long __Pyx__PyObject_Ord(PyObject* c) {\n    Py_ssize_t size;\n    if (PyBytes_Check(c)) {\n        size = PyBytes_GET_SIZE(c);\n        if (likely(size == 1)) {\n            return (unsigned char) PyBytes_AS_STRING(c)[0];\n        }\n#if PY_MAJOR_VERSION < 3\n    } else if (PyUnicode_Check(c)) {\n        return (long)__Pyx_PyUnicode_AsPy_UCS4(c);\n#endif\n#if (!CYTHON_COMPILING_IN_PYPY) || (defined(PyByteArray_AS_STRING) && defined(PyByteArray_GET_SIZE))\n    } else if (PyByteArray_Check(c)) {\n        size = PyByteArray_GET_SIZE(c);\n        if (likely(size == 1)) {\n            return (unsigned char) PyByteArray_AS_STRING(c)[0];\n        }\n#endif\n    } else {\n        PyErr_Format(PyExc_TypeError,\n            \"ord() expected string of length 1, but %.200s found\", c->ob_type->tp_name);\n        return (long)(Py_UCS4)-1;\n    }\n    PyErr_Format(PyExc_TypeError,\n        \"ord() expected a character, but string of length %zd found\", size);\n    return (long)(Py_UCS4)-1;\n}\n\n/* SetItemInt */\nstatic int __Pyx_SetItemInt_Generic(PyObject *o, PyObject *j, PyObject *v) {\n    int r;\n    if (!j) return -1;\n    r = PyObject_SetItem(o, j, v);\n    Py_DECREF(j);\n    return r;\n}\nstatic CYTHON_INLINE int __Pyx_SetItemInt_Fast(PyObject *o, Py_ssize_t i, PyObject *v, int is_list,\n                                               CYTHON_NCP_UNUSED int wraparound, CYTHON_NCP_UNUSED int boundscheck) {\n#if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS && CYTHON_USE_TYPE_SLOTS\n    if (is_list || PyList_CheckExact(o)) {\n        Py_ssize_t n = (!wraparound) ? i : ((likely(i >= 0)) ? i : i + PyList_GET_SIZE(o));\n        if ((!boundscheck) || likely(__Pyx_is_valid_index(n, PyList_GET_SIZE(o)))) {\n            PyObject* old = PyList_GET_ITEM(o, n);\n            Py_INCREF(v);\n            PyList_SET_ITEM(o, n, v);\n            Py_DECREF(old);\n            return 1;\n        }\n    } else {\n        PySequenceMethods *m = Py_TYPE(o)->tp_as_sequence;\n        if (likely(m && m->sq_ass_item)) {\n            if (wraparound && unlikely(i < 0) && likely(m->sq_length)) {\n                Py_ssize_t l = m->sq_length(o);\n                if (likely(l >= 0)) {\n                    i += l;\n                } else {\n                    if (!PyErr_ExceptionMatches(PyExc_OverflowError))\n                        return -1;\n                    PyErr_Clear();\n                }\n            }\n            return m->sq_ass_item(o, i, v);\n        }\n    }\n#else\n#if CYTHON_COMPILING_IN_PYPY\n    if (is_list || (PySequence_Check(o) && !PyDict_Check(o)))\n#else\n    if (is_list || PySequence_Check(o))\n#endif\n    {\n        return PySequence_SetItem(o, i, v);\n    }\n#endif\n    return __Pyx_SetItemInt_Generic(o, PyInt_FromSsize_t(i), v);\n}\n\n/* IterFinish */\nstatic CYTHON_INLINE int __Pyx_IterFinish(void) {\n#if CYTHON_FAST_THREAD_STATE\n    PyThreadState *tstate = __Pyx_PyThreadState_Current;\n    PyObject* exc_type = tstate->curexc_type;\n    if (unlikely(exc_type)) {\n        if (likely(__Pyx_PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration))) {\n            PyObject *exc_value, *exc_tb;\n            exc_value = tstate->curexc_value;\n            exc_tb = tstate->curexc_traceback;\n            tstate->curexc_type = 0;\n            tstate->curexc_value = 0;\n            tstate->curexc_traceback = 0;\n            Py_DECREF(exc_type);\n            Py_XDECREF(exc_value);\n            Py_XDECREF(exc_tb);\n            return 0;\n        } else {\n            return -1;\n        }\n    }\n    return 0;\n#else\n    if (unlikely(PyErr_Occurred())) {\n        if (likely(PyErr_ExceptionMatches(PyExc_StopIteration))) {\n            PyErr_Clear();\n            return 0;\n        } else {\n            return -1;\n        }\n    }\n    return 0;\n#endif\n}\n\n/* PyObjectCallNoArg */\n#if CYTHON_COMPILING_IN_CPYTHON\nstatic CYTHON_INLINE PyObject* __Pyx_PyObject_CallNoArg(PyObject *func) {\n#if CYTHON_FAST_PYCALL\n    if (PyFunction_Check(func)) {\n        return __Pyx_PyFunction_FastCall(func, NULL, 0);\n    }\n#endif\n#ifdef __Pyx_CyFunction_USED\n    if (likely(PyCFunction_Check(func) || __Pyx_CyFunction_Check(func)))\n#else\n    if (likely(PyCFunction_Check(func)))\n#endif\n    {\n        if (likely(PyCFunction_GET_FLAGS(func) & METH_NOARGS)) {\n            return __Pyx_PyObject_CallMethO(func, NULL);\n        }\n    }\n    return __Pyx_PyObject_Call(func, __pyx_empty_tuple, NULL);\n}\n#endif\n\n/* PyObjectGetMethod */\nstatic int __Pyx_PyObject_GetMethod(PyObject *obj, PyObject *name, PyObject **method) {\n    PyObject *attr;\n#if CYTHON_UNPACK_METHODS && CYTHON_COMPILING_IN_CPYTHON && CYTHON_USE_PYTYPE_LOOKUP\n    PyTypeObject *tp = Py_TYPE(obj);\n    PyObject *descr;\n    descrgetfunc f = NULL;\n    PyObject **dictptr, *dict;\n    int meth_found = 0;\n    assert (*method == NULL);\n    if (unlikely(tp->tp_getattro != PyObject_GenericGetAttr)) {\n        attr = __Pyx_PyObject_GetAttrStr(obj, name);\n        goto try_unpack;\n    }\n    if (unlikely(tp->tp_dict == NULL) && unlikely(PyType_Ready(tp) < 0)) {\n        return 0;\n    }\n    descr = _PyType_Lookup(tp, name);\n    if (likely(descr != NULL)) {\n        Py_INCREF(descr);\n#if PY_MAJOR_VERSION >= 3\n        #ifdef __Pyx_CyFunction_USED\n        if (likely(PyFunction_Check(descr) || (Py_TYPE(descr) == &PyMethodDescr_Type) || __Pyx_CyFunction_Check(descr)))\n        #else\n        if (likely(PyFunction_Check(descr) || (Py_TYPE(descr) == &PyMethodDescr_Type)))\n        #endif\n#else\n        #ifdef __Pyx_CyFunction_USED\n        if (likely(PyFunction_Check(descr) || __Pyx_CyFunction_Check(descr)))\n        #else\n        if (likely(PyFunction_Check(descr)))\n        #endif\n#endif\n        {\n            meth_found = 1;\n        } else {\n            f = Py_TYPE(descr)->tp_descr_get;\n            if (f != NULL && PyDescr_IsData(descr)) {\n                attr = f(descr, obj, (PyObject *)Py_TYPE(obj));\n                Py_DECREF(descr);\n                goto try_unpack;\n            }\n        }\n    }\n    dictptr = _PyObject_GetDictPtr(obj);\n    if (dictptr != NULL && (dict = *dictptr) != NULL) {\n        Py_INCREF(dict);\n        attr = __Pyx_PyDict_GetItemStr(dict, name);\n        if (attr != NULL) {\n            Py_INCREF(attr);\n            Py_DECREF(dict);\n            Py_XDECREF(descr);\n            goto try_unpack;\n        }\n        Py_DECREF(dict);\n    }\n    if (meth_found) {\n        *method = descr;\n        return 1;\n    }\n    if (f != NULL) {\n        attr = f(descr, obj, (PyObject *)Py_TYPE(obj));\n        Py_DECREF(descr);\n        goto try_unpack;\n    }\n    if (descr != NULL) {\n        *method = descr;\n        return 0;\n    }\n    PyErr_Format(PyExc_AttributeError,\n#if PY_MAJOR_VERSION >= 3\n                 \"'%.50s' object has no attribute '%U'\",\n                 tp->tp_name, name);\n#else\n                 \"'%.50s' object has no attribute '%.400s'\",\n                 tp->tp_name, PyString_AS_STRING(name));\n#endif\n    return 0;\n#else\n    attr = __Pyx_PyObject_GetAttrStr(obj, name);\n    goto try_unpack;\n#endif\ntry_unpack:\n#if CYTHON_UNPACK_METHODS\n    if (likely(attr) && PyMethod_Check(attr) && likely(PyMethod_GET_SELF(attr) == obj)) {\n        PyObject *function = PyMethod_GET_FUNCTION(attr);\n        Py_INCREF(function);\n        Py_DECREF(attr);\n        *method = function;\n        return 1;\n    }\n#endif\n    *method = attr;\n    return 0;\n}\n\n/* PyObjectCallMethod0 */\nstatic PyObject* __Pyx_PyObject_CallMethod0(PyObject* obj, PyObject* method_name) {\n    PyObject *method = NULL, *result = NULL;\n    int is_method = __Pyx_PyObject_GetMethod(obj, method_name, &method);\n    if (likely(is_method)) {\n        result = __Pyx_PyObject_CallOneArg(method, obj);\n        Py_DECREF(method);\n        return result;\n    }\n    if (unlikely(!method)) goto bad;\n    result = __Pyx_PyObject_CallNoArg(method);\n    Py_DECREF(method);\nbad:\n    return result;\n}\n\n/* RaiseNeedMoreValuesToUnpack */\nstatic CYTHON_INLINE void __Pyx_RaiseNeedMoreValuesError(Py_ssize_t index) {\n    PyErr_Format(PyExc_ValueError,\n                 \"need more than %\" CYTHON_FORMAT_SSIZE_T \"d value%.1s to unpack\",\n                 index, (index == 1) ? \"\" : \"s\");\n}\n\n/* RaiseTooManyValuesToUnpack */\nstatic CYTHON_INLINE void __Pyx_RaiseTooManyValuesError(Py_ssize_t expected) {\n    PyErr_Format(PyExc_ValueError,\n                 \"too many values to unpack (expected %\" CYTHON_FORMAT_SSIZE_T \"d)\", expected);\n}\n\n/* UnpackItemEndCheck */\nstatic int __Pyx_IternextUnpackEndCheck(PyObject *retval, Py_ssize_t expected) {\n    if (unlikely(retval)) {\n        Py_DECREF(retval);\n        __Pyx_RaiseTooManyValuesError(expected);\n        return -1;\n    } else {\n        return __Pyx_IterFinish();\n    }\n    return 0;\n}\n\n/* RaiseNoneIterError */\nstatic CYTHON_INLINE void __Pyx_RaiseNoneNotIterableError(void) {\n    PyErr_SetString(PyExc_TypeError, \"'NoneType' object is not iterable\");\n}\n\n/* UnpackTupleError */\nstatic void __Pyx_UnpackTupleError(PyObject *t, Py_ssize_t index) {\n    if (t == Py_None) {\n      __Pyx_RaiseNoneNotIterableError();\n    } else if (PyTuple_GET_SIZE(t) < index) {\n      __Pyx_RaiseNeedMoreValuesError(PyTuple_GET_SIZE(t));\n    } else {\n      __Pyx_RaiseTooManyValuesError(index);\n    }\n}\n\n/* UnpackTuple2 */\nstatic CYTHON_INLINE int __Pyx_unpack_tuple2_exact(\n        PyObject* tuple, PyObject** pvalue1, PyObject** pvalue2, int decref_tuple) {\n    PyObject *value1 = NULL, *value2 = NULL;\n#if CYTHON_COMPILING_IN_PYPY\n    value1 = PySequence_ITEM(tuple, 0);  if (unlikely(!value1)) goto bad;\n    value2 = PySequence_ITEM(tuple, 1);  if (unlikely(!value2)) goto bad;\n#else\n    value1 = PyTuple_GET_ITEM(tuple, 0);  Py_INCREF(value1);\n    value2 = PyTuple_GET_ITEM(tuple, 1);  Py_INCREF(value2);\n#endif\n    if (decref_tuple) {\n        Py_DECREF(tuple);\n    }\n    *pvalue1 = value1;\n    *pvalue2 = value2;\n    return 0;\n#if CYTHON_COMPILING_IN_PYPY\nbad:\n    Py_XDECREF(value1);\n    Py_XDECREF(value2);\n    if (decref_tuple) { Py_XDECREF(tuple); }\n    return -1;\n#endif\n}\nstatic int __Pyx_unpack_tuple2_generic(PyObject* tuple, PyObject** pvalue1, PyObject** pvalue2,\n                                       int has_known_size, int decref_tuple) {\n    Py_ssize_t index;\n    PyObject *value1 = NULL, *value2 = NULL, *iter = NULL;\n    iternextfunc iternext;\n    iter = PyObject_GetIter(tuple);\n    if (unlikely(!iter)) goto bad;\n    if (decref_tuple) { Py_DECREF(tuple); tuple = NULL; }\n    iternext = Py_TYPE(iter)->tp_iternext;\n    value1 = iternext(iter); if (unlikely(!value1)) { index = 0; goto unpacking_failed; }\n    value2 = iternext(iter); if (unlikely(!value2)) { index = 1; goto unpacking_failed; }\n    if (!has_known_size && unlikely(__Pyx_IternextUnpackEndCheck(iternext(iter), 2))) goto bad;\n    Py_DECREF(iter);\n    *pvalue1 = value1;\n    *pvalue2 = value2;\n    return 0;\nunpacking_failed:\n    if (!has_known_size && __Pyx_IterFinish() == 0)\n        __Pyx_RaiseNeedMoreValuesError(index);\nbad:\n    Py_XDECREF(iter);\n    Py_XDECREF(value1);\n    Py_XDECREF(value2);\n    if (decref_tuple) { Py_XDECREF(tuple); }\n    return -1;\n}\n\n/* dict_iter */\nstatic CYTHON_INLINE PyObject* __Pyx_dict_iterator(PyObject* iterable, int is_dict, PyObject* method_name,\n                                                   Py_ssize_t* p_orig_length, int* p_source_is_dict) {\n    is_dict = is_dict || likely(PyDict_CheckExact(iterable));\n    *p_source_is_dict = is_dict;\n    if (is_dict) {\n#if !CYTHON_COMPILING_IN_PYPY\n        *p_orig_length = PyDict_Size(iterable);\n        Py_INCREF(iterable);\n        return iterable;\n#elif PY_MAJOR_VERSION >= 3\n        static PyObject *py_items = NULL, *py_keys = NULL, *py_values = NULL;\n        PyObject **pp = NULL;\n        if (method_name) {\n            const char *name = PyUnicode_AsUTF8(method_name);\n            if (strcmp(name, \"iteritems\") == 0) pp = &py_items;\n            else if (strcmp(name, \"iterkeys\") == 0) pp = &py_keys;\n            else if (strcmp(name, \"itervalues\") == 0) pp = &py_values;\n            if (pp) {\n                if (!*pp) {\n                    *pp = PyUnicode_FromString(name + 4);\n                    if (!*pp)\n                        return NULL;\n                }\n                method_name = *pp;\n            }\n        }\n#endif\n    }\n    *p_orig_length = 0;\n    if (method_name) {\n        PyObject* iter;\n        iterable = __Pyx_PyObject_CallMethod0(iterable, method_name);\n        if (!iterable)\n            return NULL;\n#if !CYTHON_COMPILING_IN_PYPY\n        if (PyTuple_CheckExact(iterable) || PyList_CheckExact(iterable))\n            return iterable;\n#endif\n        iter = PyObject_GetIter(iterable);\n        Py_DECREF(iterable);\n        return iter;\n    }\n    return PyObject_GetIter(iterable);\n}\nstatic CYTHON_INLINE int __Pyx_dict_iter_next(\n        PyObject* iter_obj, CYTHON_NCP_UNUSED Py_ssize_t orig_length, CYTHON_NCP_UNUSED Py_ssize_t* ppos,\n        PyObject** pkey, PyObject** pvalue, PyObject** pitem, int source_is_dict) {\n    PyObject* next_item;\n#if !CYTHON_COMPILING_IN_PYPY\n    if (source_is_dict) {\n        PyObject *key, *value;\n        if (unlikely(orig_length != PyDict_Size(iter_obj))) {\n            PyErr_SetString(PyExc_RuntimeError, \"dictionary changed size during iteration\");\n            return -1;\n        }\n        if (unlikely(!PyDict_Next(iter_obj, ppos, &key, &value))) {\n            return 0;\n        }\n        if (pitem) {\n            PyObject* tuple = PyTuple_New(2);\n            if (unlikely(!tuple)) {\n                return -1;\n            }\n            Py_INCREF(key);\n            Py_INCREF(value);\n            PyTuple_SET_ITEM(tuple, 0, key);\n            PyTuple_SET_ITEM(tuple, 1, value);\n            *pitem = tuple;\n        } else {\n            if (pkey) {\n                Py_INCREF(key);\n                *pkey = key;\n            }\n            if (pvalue) {\n                Py_INCREF(value);\n                *pvalue = value;\n            }\n        }\n        return 1;\n    } else if (PyTuple_CheckExact(iter_obj)) {\n        Py_ssize_t pos = *ppos;\n        if (unlikely(pos >= PyTuple_GET_SIZE(iter_obj))) return 0;\n        *ppos = pos + 1;\n        next_item = PyTuple_GET_ITEM(iter_obj, pos);\n        Py_INCREF(next_item);\n    } else if (PyList_CheckExact(iter_obj)) {\n        Py_ssize_t pos = *ppos;\n        if (unlikely(pos >= PyList_GET_SIZE(iter_obj))) return 0;\n        *ppos = pos + 1;\n        next_item = PyList_GET_ITEM(iter_obj, pos);\n        Py_INCREF(next_item);\n    } else\n#endif\n    {\n        next_item = PyIter_Next(iter_obj);\n        if (unlikely(!next_item)) {\n            return __Pyx_IterFinish();\n        }\n    }\n    if (pitem) {\n        *pitem = next_item;\n    } else if (pkey && pvalue) {\n        if (__Pyx_unpack_tuple2(next_item, pkey, pvalue, source_is_dict, source_is_dict, 1))\n            return -1;\n    } else if (pkey) {\n        *pkey = next_item;\n    } else {\n        *pvalue = next_item;\n    }\n    return 1;\n}\n\n/* PyObjectCall2Args */\nstatic CYTHON_UNUSED PyObject* __Pyx_PyObject_Call2Args(PyObject* function, PyObject* arg1, PyObject* arg2) {\n    PyObject *args, *result = NULL;\n    #if CYTHON_FAST_PYCALL\n    if (PyFunction_Check(function)) {\n        PyObject *args[2] = {arg1, arg2};\n        return __Pyx_PyFunction_FastCall(function, args, 2);\n    }\n    #endif\n    #if CYTHON_FAST_PYCCALL\n    if (__Pyx_PyFastCFunction_Check(function)) {\n        PyObject *args[2] = {arg1, arg2};\n        return __Pyx_PyCFunction_FastCall(function, args, 2);\n    }\n    #endif\n    args = PyTuple_New(2);\n    if (unlikely(!args)) goto done;\n    Py_INCREF(arg1);\n    PyTuple_SET_ITEM(args, 0, arg1);\n    Py_INCREF(arg2);\n    PyTuple_SET_ITEM(args, 1, arg2);\n    Py_INCREF(function);\n    result = __Pyx_PyObject_Call(function, args, NULL);\n    Py_DECREF(args);\n    Py_DECREF(function);\ndone:\n    return result;\n}\n\n/* ArgTypeTest */\nstatic int __Pyx__ArgTypeTest(PyObject *obj, PyTypeObject *type, const char *name, int exact)\n{\n    if (unlikely(!type)) {\n        PyErr_SetString(PyExc_SystemError, \"Missing type object\");\n        return 0;\n    }\n    else if (exact) {\n        #if PY_MAJOR_VERSION == 2\n        if ((type == &PyBaseString_Type) && likely(__Pyx_PyBaseString_CheckExact(obj))) return 1;\n        #endif\n    }\n    else {\n        if (likely(__Pyx_TypeCheck(obj, type))) return 1;\n    }\n    PyErr_Format(PyExc_TypeError,\n        \"Argument '%.200s' has incorrect type (expected %.200s, got %.200s)\",\n        name, type->tp_name, Py_TYPE(obj)->tp_name);\n    return 0;\n}\n\n/* IsLittleEndian */\nstatic CYTHON_INLINE int __Pyx_Is_Little_Endian(void)\n{\n  union {\n    uint32_t u32;\n    uint8_t u8[4];\n  } S;\n  S.u32 = 0x01020304;\n  return S.u8[0] == 4;\n}\n\n/* BufferFormatCheck */\nstatic void __Pyx_BufFmt_Init(__Pyx_BufFmt_Context* ctx,\n                              __Pyx_BufFmt_StackElem* stack,\n                              __Pyx_TypeInfo* type) {\n  stack[0].field = &ctx->root;\n  stack[0].parent_offset = 0;\n  ctx->root.type = type;\n  ctx->root.name = \"buffer dtype\";\n  ctx->root.offset = 0;\n  ctx->head = stack;\n  ctx->head->field = &ctx->root;\n  ctx->fmt_offset = 0;\n  ctx->head->parent_offset = 0;\n  ctx->new_packmode = '@';\n  ctx->enc_packmode = '@';\n  ctx->new_count = 1;\n  ctx->enc_count = 0;\n  ctx->enc_type = 0;\n  ctx->is_complex = 0;\n  ctx->is_valid_array = 0;\n  ctx->struct_alignment = 0;\n  while (type->typegroup == 'S') {\n    ++ctx->head;\n    ctx->head->field = type->fields;\n    ctx->head->parent_offset = 0;\n    type = type->fields->type;\n  }\n}\nstatic int __Pyx_BufFmt_ParseNumber(const char** ts) {\n    int count;\n    const char* t = *ts;\n    if (*t < '0' || *t > '9') {\n      return -1;\n    } else {\n        count = *t++ - '0';\n        while (*t >= '0' && *t <= '9') {\n            count *= 10;\n            count += *t++ - '0';\n        }\n    }\n    *ts = t;\n    return count;\n}\nstatic int __Pyx_BufFmt_ExpectNumber(const char **ts) {\n    int number = __Pyx_BufFmt_ParseNumber(ts);\n    if (number == -1)\n        PyErr_Format(PyExc_ValueError,\\\n                     \"Does not understand character buffer dtype format string ('%c')\", **ts);\n    return number;\n}\nstatic void __Pyx_BufFmt_RaiseUnexpectedChar(char ch) {\n  PyErr_Format(PyExc_ValueError,\n               \"Unexpected format string character: '%c'\", ch);\n}\nstatic const char* __Pyx_BufFmt_DescribeTypeChar(char ch, int is_complex) {\n  switch (ch) {\n    case '?': return \"'bool'\";\n    case 'c': return \"'char'\";\n    case 'b': return \"'signed char'\";\n    case 'B': return \"'unsigned char'\";\n    case 'h': return \"'short'\";\n    case 'H': return \"'unsigned short'\";\n    case 'i': return \"'int'\";\n    case 'I': return \"'unsigned int'\";\n    case 'l': return \"'long'\";\n    case 'L': return \"'unsigned long'\";\n    case 'q': return \"'long long'\";\n    case 'Q': return \"'unsigned long long'\";\n    case 'f': return (is_complex ? \"'complex float'\" : \"'float'\");\n    case 'd': return (is_complex ? \"'complex double'\" : \"'double'\");\n    case 'g': return (is_complex ? \"'complex long double'\" : \"'long double'\");\n    case 'T': return \"a struct\";\n    case 'O': return \"Python object\";\n    case 'P': return \"a pointer\";\n    case 's': case 'p': return \"a string\";\n    case 0: return \"end\";\n    default: return \"unparseable format string\";\n  }\n}\nstatic size_t __Pyx_BufFmt_TypeCharToStandardSize(char ch, int is_complex) {\n  switch (ch) {\n    case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1;\n    case 'h': case 'H': return 2;\n    case 'i': case 'I': case 'l': case 'L': return 4;\n    case 'q': case 'Q': return 8;\n    case 'f': return (is_complex ? 8 : 4);\n    case 'd': return (is_complex ? 16 : 8);\n    case 'g': {\n      PyErr_SetString(PyExc_ValueError, \"Python does not define a standard format string size for long double ('g')..\");\n      return 0;\n    }\n    case 'O': case 'P': return sizeof(void*);\n    default:\n      __Pyx_BufFmt_RaiseUnexpectedChar(ch);\n      return 0;\n    }\n}\nstatic size_t __Pyx_BufFmt_TypeCharToNativeSize(char ch, int is_complex) {\n  switch (ch) {\n    case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1;\n    case 'h': case 'H': return sizeof(short);\n    case 'i': case 'I': return sizeof(int);\n    case 'l': case 'L': return sizeof(long);\n    #ifdef HAVE_LONG_LONG\n    case 'q': case 'Q': return sizeof(PY_LONG_LONG);\n    #endif\n    case 'f': return sizeof(float) * (is_complex ? 2 : 1);\n    case 'd': return sizeof(double) * (is_complex ? 2 : 1);\n    case 'g': return sizeof(long double) * (is_complex ? 2 : 1);\n    case 'O': case 'P': return sizeof(void*);\n    default: {\n      __Pyx_BufFmt_RaiseUnexpectedChar(ch);\n      return 0;\n    }\n  }\n}\ntypedef struct { char c; short x; } __Pyx_st_short;\ntypedef struct { char c; int x; } __Pyx_st_int;\ntypedef struct { char c; long x; } __Pyx_st_long;\ntypedef struct { char c; float x; } __Pyx_st_float;\ntypedef struct { char c; double x; } __Pyx_st_double;\ntypedef struct { char c; long double x; } __Pyx_st_longdouble;\ntypedef struct { char c; void *x; } __Pyx_st_void_p;\n#ifdef HAVE_LONG_LONG\ntypedef struct { char c; PY_LONG_LONG x; } __Pyx_st_longlong;\n#endif\nstatic size_t __Pyx_BufFmt_TypeCharToAlignment(char ch, CYTHON_UNUSED int is_complex) {\n  switch (ch) {\n    case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1;\n    case 'h': case 'H': return sizeof(__Pyx_st_short) - sizeof(short);\n    case 'i': case 'I': return sizeof(__Pyx_st_int) - sizeof(int);\n    case 'l': case 'L': return sizeof(__Pyx_st_long) - sizeof(long);\n#ifdef HAVE_LONG_LONG\n    case 'q': case 'Q': return sizeof(__Pyx_st_longlong) - sizeof(PY_LONG_LONG);\n#endif\n    case 'f': return sizeof(__Pyx_st_float) - sizeof(float);\n    case 'd': return sizeof(__Pyx_st_double) - sizeof(double);\n    case 'g': return sizeof(__Pyx_st_longdouble) - sizeof(long double);\n    case 'P': case 'O': return sizeof(__Pyx_st_void_p) - sizeof(void*);\n    default:\n      __Pyx_BufFmt_RaiseUnexpectedChar(ch);\n      return 0;\n    }\n}\n/* These are for computing the padding at the end of the struct to align\n   on the first member of the struct. This will probably the same as above,\n   but we don't have any guarantees.\n */\ntypedef struct { short x; char c; } __Pyx_pad_short;\ntypedef struct { int x; char c; } __Pyx_pad_int;\ntypedef struct { long x; char c; } __Pyx_pad_long;\ntypedef struct { float x; char c; } __Pyx_pad_float;\ntypedef struct { double x; char c; } __Pyx_pad_double;\ntypedef struct { long double x; char c; } __Pyx_pad_longdouble;\ntypedef struct { void *x; char c; } __Pyx_pad_void_p;\n#ifdef HAVE_LONG_LONG\ntypedef struct { PY_LONG_LONG x; char c; } __Pyx_pad_longlong;\n#endif\nstatic size_t __Pyx_BufFmt_TypeCharToPadding(char ch, CYTHON_UNUSED int is_complex) {\n  switch (ch) {\n    case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1;\n    case 'h': case 'H': return sizeof(__Pyx_pad_short) - sizeof(short);\n    case 'i': case 'I': return sizeof(__Pyx_pad_int) - sizeof(int);\n    case 'l': case 'L': return sizeof(__Pyx_pad_long) - sizeof(long);\n#ifdef HAVE_LONG_LONG\n    case 'q': case 'Q': return sizeof(__Pyx_pad_longlong) - sizeof(PY_LONG_LONG);\n#endif\n    case 'f': return sizeof(__Pyx_pad_float) - sizeof(float);\n    case 'd': return sizeof(__Pyx_pad_double) - sizeof(double);\n    case 'g': return sizeof(__Pyx_pad_longdouble) - sizeof(long double);\n    case 'P': case 'O': return sizeof(__Pyx_pad_void_p) - sizeof(void*);\n    default:\n      __Pyx_BufFmt_RaiseUnexpectedChar(ch);\n      return 0;\n    }\n}\nstatic char __Pyx_BufFmt_TypeCharToGroup(char ch, int is_complex) {\n  switch (ch) {\n    case 'c':\n        return 'H';\n    case 'b': case 'h': case 'i':\n    case 'l': case 'q': case 's': case 'p':\n        return 'I';\n    case '?': case 'B': case 'H': case 'I': case 'L': case 'Q':\n        return 'U';\n    case 'f': case 'd': case 'g':\n        return (is_complex ? 'C' : 'R');\n    case 'O':\n        return 'O';\n    case 'P':\n        return 'P';\n    default: {\n      __Pyx_BufFmt_RaiseUnexpectedChar(ch);\n      return 0;\n    }\n  }\n}\nstatic void __Pyx_BufFmt_RaiseExpected(__Pyx_BufFmt_Context* ctx) {\n  if (ctx->head == NULL || ctx->head->field == &ctx->root) {\n    const char* expected;\n    const char* quote;\n    if (ctx->head == NULL) {\n      expected = \"end\";\n      quote = \"\";\n    } else {\n      expected = ctx->head->field->type->name;\n      quote = \"'\";\n    }\n    PyErr_Format(PyExc_ValueError,\n                 \"Buffer dtype mismatch, expected %s%s%s but got %s\",\n                 quote, expected, quote,\n                 __Pyx_BufFmt_DescribeTypeChar(ctx->enc_type, ctx->is_complex));\n  } else {\n    __Pyx_StructField* field = ctx->head->field;\n    __Pyx_StructField* parent = (ctx->head - 1)->field;\n    PyErr_Format(PyExc_ValueError,\n                 \"Buffer dtype mismatch, expected '%s' but got %s in '%s.%s'\",\n                 field->type->name, __Pyx_BufFmt_DescribeTypeChar(ctx->enc_type, ctx->is_complex),\n                 parent->type->name, field->name);\n  }\n}\nstatic int __Pyx_BufFmt_ProcessTypeChunk(__Pyx_BufFmt_Context* ctx) {\n  char group;\n  size_t size, offset, arraysize = 1;\n  if (ctx->enc_type == 0) return 0;\n  if (ctx->head->field->type->arraysize[0]) {\n    int i, ndim = 0;\n    if (ctx->enc_type == 's' || ctx->enc_type == 'p') {\n        ctx->is_valid_array = ctx->head->field->type->ndim == 1;\n        ndim = 1;\n        if (ctx->enc_count != ctx->head->field->type->arraysize[0]) {\n            PyErr_Format(PyExc_ValueError,\n                         \"Expected a dimension of size %zu, got %zu\",\n                         ctx->head->field->type->arraysize[0], ctx->enc_count);\n            return -1;\n        }\n    }\n    if (!ctx->is_valid_array) {\n      PyErr_Format(PyExc_ValueError, \"Expected %d dimensions, got %d\",\n                   ctx->head->field->type->ndim, ndim);\n      return -1;\n    }\n    for (i = 0; i < ctx->head->field->type->ndim; i++) {\n      arraysize *= ctx->head->field->type->arraysize[i];\n    }\n    ctx->is_valid_array = 0;\n    ctx->enc_count = 1;\n  }\n  group = __Pyx_BufFmt_TypeCharToGroup(ctx->enc_type, ctx->is_complex);\n  do {\n    __Pyx_StructField* field = ctx->head->field;\n    __Pyx_TypeInfo* type = field->type;\n    if (ctx->enc_packmode == '@' || ctx->enc_packmode == '^') {\n      size = __Pyx_BufFmt_TypeCharToNativeSize(ctx->enc_type, ctx->is_complex);\n    } else {\n      size = __Pyx_BufFmt_TypeCharToStandardSize(ctx->enc_type, ctx->is_complex);\n    }\n    if (ctx->enc_packmode == '@') {\n      size_t align_at = __Pyx_BufFmt_TypeCharToAlignment(ctx->enc_type, ctx->is_complex);\n      size_t align_mod_offset;\n      if (align_at == 0) return -1;\n      align_mod_offset = ctx->fmt_offset % align_at;\n      if (align_mod_offset > 0) ctx->fmt_offset += align_at - align_mod_offset;\n      if (ctx->struct_alignment == 0)\n          ctx->struct_alignment = __Pyx_BufFmt_TypeCharToPadding(ctx->enc_type,\n                                                                 ctx->is_complex);\n    }\n    if (type->size != size || type->typegroup != group) {\n      if (type->typegroup == 'C' && type->fields != NULL) {\n        size_t parent_offset = ctx->head->parent_offset + field->offset;\n        ++ctx->head;\n        ctx->head->field = type->fields;\n        ctx->head->parent_offset = parent_offset;\n        continue;\n      }\n      if ((type->typegroup == 'H' || group == 'H') && type->size == size) {\n      } else {\n          __Pyx_BufFmt_RaiseExpected(ctx);\n          return -1;\n      }\n    }\n    offset = ctx->head->parent_offset + field->offset;\n    if (ctx->fmt_offset != offset) {\n      PyErr_Format(PyExc_ValueError,\n                   \"Buffer dtype mismatch; next field is at offset %\" CYTHON_FORMAT_SSIZE_T \"d but %\" CYTHON_FORMAT_SSIZE_T \"d expected\",\n                   (Py_ssize_t)ctx->fmt_offset, (Py_ssize_t)offset);\n      return -1;\n    }\n    ctx->fmt_offset += size;\n    if (arraysize)\n      ctx->fmt_offset += (arraysize - 1) * size;\n    --ctx->enc_count;\n    while (1) {\n      if (field == &ctx->root) {\n        ctx->head = NULL;\n        if (ctx->enc_count != 0) {\n          __Pyx_BufFmt_RaiseExpected(ctx);\n          return -1;\n        }\n        break;\n      }\n      ctx->head->field = ++field;\n      if (field->type == NULL) {\n        --ctx->head;\n        field = ctx->head->field;\n        continue;\n      } else if (field->type->typegroup == 'S') {\n        size_t parent_offset = ctx->head->parent_offset + field->offset;\n        if (field->type->fields->type == NULL) continue;\n        field = field->type->fields;\n        ++ctx->head;\n        ctx->head->field = field;\n        ctx->head->parent_offset = parent_offset;\n        break;\n      } else {\n        break;\n      }\n    }\n  } while (ctx->enc_count);\n  ctx->enc_type = 0;\n  ctx->is_complex = 0;\n  return 0;\n}\nstatic PyObject *\n__pyx_buffmt_parse_array(__Pyx_BufFmt_Context* ctx, const char** tsp)\n{\n    const char *ts = *tsp;\n    int i = 0, number, ndim;\n    ++ts;\n    if (ctx->new_count != 1) {\n        PyErr_SetString(PyExc_ValueError,\n                        \"Cannot handle repeated arrays in format string\");\n        return NULL;\n    }\n    if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;\n    ndim = ctx->head->field->type->ndim;\n    while (*ts && *ts != ')') {\n        switch (*ts) {\n            case ' ': case '\\f': case '\\r': case '\\n': case '\\t': case '\\v':  continue;\n            default:  break;\n        }\n        number = __Pyx_BufFmt_ExpectNumber(&ts);\n        if (number == -1) return NULL;\n        if (i < ndim && (size_t) number != ctx->head->field->type->arraysize[i])\n            return PyErr_Format(PyExc_ValueError,\n                        \"Expected a dimension of size %zu, got %d\",\n                        ctx->head->field->type->arraysize[i], number);\n        if (*ts != ',' && *ts != ')')\n            return PyErr_Format(PyExc_ValueError,\n                                \"Expected a comma in format string, got '%c'\", *ts);\n        if (*ts == ',') ts++;\n        i++;\n    }\n    if (i != ndim)\n        return PyErr_Format(PyExc_ValueError, \"Expected %d dimension(s), got %d\",\n                            ctx->head->field->type->ndim, i);\n    if (!*ts) {\n        PyErr_SetString(PyExc_ValueError,\n                        \"Unexpected end of format string, expected ')'\");\n        return NULL;\n    }\n    ctx->is_valid_array = 1;\n    ctx->new_count = 1;\n    *tsp = ++ts;\n    return Py_None;\n}\nstatic const char* __Pyx_BufFmt_CheckString(__Pyx_BufFmt_Context* ctx, const char* ts) {\n  int got_Z = 0;\n  while (1) {\n    switch(*ts) {\n      case 0:\n        if (ctx->enc_type != 0 && ctx->head == NULL) {\n          __Pyx_BufFmt_RaiseExpected(ctx);\n          return NULL;\n        }\n        if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;\n        if (ctx->head != NULL) {\n          __Pyx_BufFmt_RaiseExpected(ctx);\n          return NULL;\n        }\n        return ts;\n      case ' ':\n      case '\\r':\n      case '\\n':\n        ++ts;\n        break;\n      case '<':\n        if (!__Pyx_Is_Little_Endian()) {\n          PyErr_SetString(PyExc_ValueError, \"Little-endian buffer not supported on big-endian compiler\");\n          return NULL;\n        }\n        ctx->new_packmode = '=';\n        ++ts;\n        break;\n      case '>':\n      case '!':\n        if (__Pyx_Is_Little_Endian()) {\n          PyErr_SetString(PyExc_ValueError, \"Big-endian buffer not supported on little-endian compiler\");\n          return NULL;\n        }\n        ctx->new_packmode = '=';\n        ++ts;\n        break;\n      case '=':\n      case '@':\n      case '^':\n        ctx->new_packmode = *ts++;\n        break;\n      case 'T':\n        {\n          const char* ts_after_sub;\n          size_t i, struct_count = ctx->new_count;\n          size_t struct_alignment = ctx->struct_alignment;\n          ctx->new_count = 1;\n          ++ts;\n          if (*ts != '{') {\n            PyErr_SetString(PyExc_ValueError, \"Buffer acquisition: Expected '{' after 'T'\");\n            return NULL;\n          }\n          if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;\n          ctx->enc_type = 0;\n          ctx->enc_count = 0;\n          ctx->struct_alignment = 0;\n          ++ts;\n          ts_after_sub = ts;\n          for (i = 0; i != struct_count; ++i) {\n            ts_after_sub = __Pyx_BufFmt_CheckString(ctx, ts);\n            if (!ts_after_sub) return NULL;\n          }\n          ts = ts_after_sub;\n          if (struct_alignment) ctx->struct_alignment = struct_alignment;\n        }\n        break;\n      case '}':\n        {\n          size_t alignment = ctx->struct_alignment;\n          ++ts;\n          if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;\n          ctx->enc_type = 0;\n          if (alignment && ctx->fmt_offset % alignment) {\n            ctx->fmt_offset += alignment - (ctx->fmt_offset % alignment);\n          }\n        }\n        return ts;\n      case 'x':\n        if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;\n        ctx->fmt_offset += ctx->new_count;\n        ctx->new_count = 1;\n        ctx->enc_count = 0;\n        ctx->enc_type = 0;\n        ctx->enc_packmode = ctx->new_packmode;\n        ++ts;\n        break;\n      case 'Z':\n        got_Z = 1;\n        ++ts;\n        if (*ts != 'f' && *ts != 'd' && *ts != 'g') {\n          __Pyx_BufFmt_RaiseUnexpectedChar('Z');\n          return NULL;\n        }\n        CYTHON_FALLTHROUGH;\n      case '?': case 'c': case 'b': case 'B': case 'h': case 'H': case 'i': case 'I':\n      case 'l': case 'L': case 'q': case 'Q':\n      case 'f': case 'd': case 'g':\n      case 'O': case 'p':\n        if ((ctx->enc_type == *ts) && (got_Z == ctx->is_complex) &&\n            (ctx->enc_packmode == ctx->new_packmode) && (!ctx->is_valid_array)) {\n          ctx->enc_count += ctx->new_count;\n          ctx->new_count = 1;\n          got_Z = 0;\n          ++ts;\n          break;\n        }\n        CYTHON_FALLTHROUGH;\n      case 's':\n        if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;\n        ctx->enc_count = ctx->new_count;\n        ctx->enc_packmode = ctx->new_packmode;\n        ctx->enc_type = *ts;\n        ctx->is_complex = got_Z;\n        ++ts;\n        ctx->new_count = 1;\n        got_Z = 0;\n        break;\n      case ':':\n        ++ts;\n        while(*ts != ':') ++ts;\n        ++ts;\n        break;\n      case '(':\n        if (!__pyx_buffmt_parse_array(ctx, &ts)) return NULL;\n        break;\n      default:\n        {\n          int number = __Pyx_BufFmt_ExpectNumber(&ts);\n          if (number == -1) return NULL;\n          ctx->new_count = (size_t)number;\n        }\n    }\n  }\n}\n\n/* BufferGetAndValidate */\n  static CYTHON_INLINE void __Pyx_SafeReleaseBuffer(Py_buffer* info) {\n  if (unlikely(info->buf == NULL)) return;\n  if (info->suboffsets == __Pyx_minusones) info->suboffsets = NULL;\n  __Pyx_ReleaseBuffer(info);\n}\nstatic void __Pyx_ZeroBuffer(Py_buffer* buf) {\n  buf->buf = NULL;\n  buf->obj = NULL;\n  buf->strides = __Pyx_zeros;\n  buf->shape = __Pyx_zeros;\n  buf->suboffsets = __Pyx_minusones;\n}\nstatic int __Pyx__GetBufferAndValidate(\n        Py_buffer* buf, PyObject* obj,  __Pyx_TypeInfo* dtype, int flags,\n        int nd, int cast, __Pyx_BufFmt_StackElem* stack)\n{\n  buf->buf = NULL;\n  if (unlikely(__Pyx_GetBuffer(obj, buf, flags) == -1)) {\n    __Pyx_ZeroBuffer(buf);\n    return -1;\n  }\n  if (unlikely(buf->ndim != nd)) {\n    PyErr_Format(PyExc_ValueError,\n                 \"Buffer has wrong number of dimensions (expected %d, got %d)\",\n                 nd, buf->ndim);\n    goto fail;\n  }\n  if (!cast) {\n    __Pyx_BufFmt_Context ctx;\n    __Pyx_BufFmt_Init(&ctx, stack, dtype);\n    if (!__Pyx_BufFmt_CheckString(&ctx, buf->format)) goto fail;\n  }\n  if (unlikely((size_t)buf->itemsize != dtype->size)) {\n    PyErr_Format(PyExc_ValueError,\n      \"Item size of buffer (%\" CYTHON_FORMAT_SSIZE_T \"d byte%s) does not match size of '%s' (%\" CYTHON_FORMAT_SSIZE_T \"d byte%s)\",\n      buf->itemsize, (buf->itemsize > 1) ? \"s\" : \"\",\n      dtype->name, (Py_ssize_t)dtype->size, (dtype->size > 1) ? \"s\" : \"\");\n    goto fail;\n  }\n  if (buf->suboffsets == NULL) buf->suboffsets = __Pyx_minusones;\n  return 0;\nfail:;\n  __Pyx_SafeReleaseBuffer(buf);\n  return -1;\n}\n\n/* None */\n  static CYTHON_INLINE long __Pyx_div_long(long a, long b) {\n    long q = a / b;\n    long r = a - q*b;\n    q -= ((r != 0) & ((r ^ b) < 0));\n    return q;\n}\n\n/* PyDictVersioning */\n  #if CYTHON_USE_DICT_VERSIONS && CYTHON_USE_TYPE_SLOTS\nstatic CYTHON_INLINE PY_UINT64_T __Pyx_get_tp_dict_version(PyObject *obj) {\n    PyObject *dict = Py_TYPE(obj)->tp_dict;\n    return likely(dict) ? __PYX_GET_DICT_VERSION(dict) : 0;\n}\nstatic CYTHON_INLINE PY_UINT64_T __Pyx_get_object_dict_version(PyObject *obj) {\n    PyObject **dictptr = NULL;\n    Py_ssize_t offset = Py_TYPE(obj)->tp_dictoffset;\n    if (offset) {\n#if CYTHON_COMPILING_IN_CPYTHON\n        dictptr = (likely(offset > 0)) ? (PyObject **) ((char *)obj + offset) : _PyObject_GetDictPtr(obj);\n#else\n        dictptr = _PyObject_GetDictPtr(obj);\n#endif\n    }\n    return (dictptr && *dictptr) ? __PYX_GET_DICT_VERSION(*dictptr) : 0;\n}\nstatic CYTHON_INLINE int __Pyx_object_dict_version_matches(PyObject* obj, PY_UINT64_T tp_dict_version, PY_UINT64_T obj_dict_version) {\n    PyObject *dict = Py_TYPE(obj)->tp_dict;\n    if (unlikely(!dict) || unlikely(tp_dict_version != __PYX_GET_DICT_VERSION(dict)))\n        return 0;\n    return obj_dict_version == __Pyx_get_object_dict_version(obj);\n}\n#endif\n\n/* GetModuleGlobalName */\n  #if CYTHON_USE_DICT_VERSIONS\nstatic PyObject *__Pyx__GetModuleGlobalName(PyObject *name, PY_UINT64_T *dict_version, PyObject **dict_cached_value)\n#else\nstatic CYTHON_INLINE PyObject *__Pyx__GetModuleGlobalName(PyObject *name)\n#endif\n{\n    PyObject *result;\n#if !CYTHON_AVOID_BORROWED_REFS\n#if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX >= 0x030500A1\n    result = _PyDict_GetItem_KnownHash(__pyx_d, name, ((PyASCIIObject *) name)->hash);\n    __PYX_UPDATE_DICT_CACHE(__pyx_d, result, *dict_cached_value, *dict_version)\n    if (likely(result)) {\n        return __Pyx_NewRef(result);\n    } else if (unlikely(PyErr_Occurred())) {\n        return NULL;\n    }\n#else\n    result = PyDict_GetItem(__pyx_d, name);\n    __PYX_UPDATE_DICT_CACHE(__pyx_d, result, *dict_cached_value, *dict_version)\n    if (likely(result)) {\n        return __Pyx_NewRef(result);\n    }\n#endif\n#else\n    result = PyObject_GetItem(__pyx_d, name);\n    __PYX_UPDATE_DICT_CACHE(__pyx_d, result, *dict_cached_value, *dict_version)\n    if (likely(result)) {\n        return __Pyx_NewRef(result);\n    }\n    PyErr_Clear();\n#endif\n    return __Pyx_GetBuiltinName(name);\n}\n\n/* ExtTypeTest */\n  static CYTHON_INLINE int __Pyx_TypeTest(PyObject *obj, PyTypeObject *type) {\n    if (unlikely(!type)) {\n        PyErr_SetString(PyExc_SystemError, \"Missing type object\");\n        return 0;\n    }\n    if (likely(__Pyx_TypeCheck(obj, type)))\n        return 1;\n    PyErr_Format(PyExc_TypeError, \"Cannot convert %.200s to %.200s\",\n                 Py_TYPE(obj)->tp_name, type->tp_name);\n    return 0;\n}\n\n/* ObjectGetItem */\n  #if CYTHON_USE_TYPE_SLOTS\nstatic PyObject *__Pyx_PyObject_GetIndex(PyObject *obj, PyObject* index) {\n    PyObject *runerr;\n    Py_ssize_t key_value;\n    PySequenceMethods *m = Py_TYPE(obj)->tp_as_sequence;\n    if (unlikely(!(m && m->sq_item))) {\n        PyErr_Format(PyExc_TypeError, \"'%.200s' object is not subscriptable\", Py_TYPE(obj)->tp_name);\n        return NULL;\n    }\n    key_value = __Pyx_PyIndex_AsSsize_t(index);\n    if (likely(key_value != -1 || !(runerr = PyErr_Occurred()))) {\n        return __Pyx_GetItemInt_Fast(obj, key_value, 0, 1, 1);\n    }\n    if (PyErr_GivenExceptionMatches(runerr, PyExc_OverflowError)) {\n        PyErr_Clear();\n        PyErr_Format(PyExc_IndexError, \"cannot fit '%.200s' into an index-sized integer\", Py_TYPE(index)->tp_name);\n    }\n    return NULL;\n}\nstatic PyObject *__Pyx_PyObject_GetItem(PyObject *obj, PyObject* key) {\n    PyMappingMethods *m = Py_TYPE(obj)->tp_as_mapping;\n    if (likely(m && m->mp_subscript)) {\n        return m->mp_subscript(obj, key);\n    }\n    return __Pyx_PyObject_GetIndex(obj, key);\n}\n#endif\n\n/* GetTopmostException */\n  #if CYTHON_USE_EXC_INFO_STACK\nstatic _PyErr_StackItem *\n__Pyx_PyErr_GetTopmostException(PyThreadState *tstate)\n{\n    _PyErr_StackItem *exc_info = tstate->exc_info;\n    while ((exc_info->exc_type == NULL || exc_info->exc_type == Py_None) &&\n           exc_info->previous_item != NULL)\n    {\n        exc_info = exc_info->previous_item;\n    }\n    return exc_info;\n}\n#endif\n\n/* SaveResetException */\n  #if CYTHON_FAST_THREAD_STATE\nstatic CYTHON_INLINE void __Pyx__ExceptionSave(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) {\n    #if CYTHON_USE_EXC_INFO_STACK\n    _PyErr_StackItem *exc_info = __Pyx_PyErr_GetTopmostException(tstate);\n    *type = exc_info->exc_type;\n    *value = exc_info->exc_value;\n    *tb = exc_info->exc_traceback;\n    #else\n    *type = tstate->exc_type;\n    *value = tstate->exc_value;\n    *tb = tstate->exc_traceback;\n    #endif\n    Py_XINCREF(*type);\n    Py_XINCREF(*value);\n    Py_XINCREF(*tb);\n}\nstatic CYTHON_INLINE void __Pyx__ExceptionReset(PyThreadState *tstate, PyObject *type, PyObject *value, PyObject *tb) {\n    PyObject *tmp_type, *tmp_value, *tmp_tb;\n    #if CYTHON_USE_EXC_INFO_STACK\n    _PyErr_StackItem *exc_info = tstate->exc_info;\n    tmp_type = exc_info->exc_type;\n    tmp_value = exc_info->exc_value;\n    tmp_tb = exc_info->exc_traceback;\n    exc_info->exc_type = type;\n    exc_info->exc_value = value;\n    exc_info->exc_traceback = tb;\n    #else\n    tmp_type = tstate->exc_type;\n    tmp_value = tstate->exc_value;\n    tmp_tb = tstate->exc_traceback;\n    tstate->exc_type = type;\n    tstate->exc_value = value;\n    tstate->exc_traceback = tb;\n    #endif\n    Py_XDECREF(tmp_type);\n    Py_XDECREF(tmp_value);\n    Py_XDECREF(tmp_tb);\n}\n#endif\n\n/* PyErrExceptionMatches */\n  #if CYTHON_FAST_THREAD_STATE\nstatic int __Pyx_PyErr_ExceptionMatchesTuple(PyObject *exc_type, PyObject *tuple) {\n    Py_ssize_t i, n;\n    n = PyTuple_GET_SIZE(tuple);\n#if PY_MAJOR_VERSION >= 3\n    for (i=0; i<n; i++) {\n        if (exc_type == PyTuple_GET_ITEM(tuple, i)) return 1;\n    }\n#endif\n    for (i=0; i<n; i++) {\n        if (__Pyx_PyErr_GivenExceptionMatches(exc_type, PyTuple_GET_ITEM(tuple, i))) return 1;\n    }\n    return 0;\n}\nstatic CYTHON_INLINE int __Pyx_PyErr_ExceptionMatchesInState(PyThreadState* tstate, PyObject* err) {\n    PyObject *exc_type = tstate->curexc_type;\n    if (exc_type == err) return 1;\n    if (unlikely(!exc_type)) return 0;\n    if (unlikely(PyTuple_Check(err)))\n        return __Pyx_PyErr_ExceptionMatchesTuple(exc_type, err);\n    return __Pyx_PyErr_GivenExceptionMatches(exc_type, err);\n}\n#endif\n\n/* GetException */\n  #if CYTHON_FAST_THREAD_STATE\nstatic int __Pyx__GetException(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb)\n#else\nstatic int __Pyx_GetException(PyObject **type, PyObject **value, PyObject **tb)\n#endif\n{\n    PyObject *local_type, *local_value, *local_tb;\n#if CYTHON_FAST_THREAD_STATE\n    PyObject *tmp_type, *tmp_value, *tmp_tb;\n    local_type = tstate->curexc_type;\n    local_value = tstate->curexc_value;\n    local_tb = tstate->curexc_traceback;\n    tstate->curexc_type = 0;\n    tstate->curexc_value = 0;\n    tstate->curexc_traceback = 0;\n#else\n    PyErr_Fetch(&local_type, &local_value, &local_tb);\n#endif\n    PyErr_NormalizeException(&local_type, &local_value, &local_tb);\n#if CYTHON_FAST_THREAD_STATE\n    if (unlikely(tstate->curexc_type))\n#else\n    if (unlikely(PyErr_Occurred()))\n#endif\n        goto bad;\n    #if PY_MAJOR_VERSION >= 3\n    if (local_tb) {\n        if (unlikely(PyException_SetTraceback(local_value, local_tb) < 0))\n            goto bad;\n    }\n    #endif\n    Py_XINCREF(local_tb);\n    Py_XINCREF(local_type);\n    Py_XINCREF(local_value);\n    *type = local_type;\n    *value = local_value;\n    *tb = local_tb;\n#if CYTHON_FAST_THREAD_STATE\n    #if CYTHON_USE_EXC_INFO_STACK\n    {\n        _PyErr_StackItem *exc_info = tstate->exc_info;\n        tmp_type = exc_info->exc_type;\n        tmp_value = exc_info->exc_value;\n        tmp_tb = exc_info->exc_traceback;\n        exc_info->exc_type = local_type;\n        exc_info->exc_value = local_value;\n        exc_info->exc_traceback = local_tb;\n    }\n    #else\n    tmp_type = tstate->exc_type;\n    tmp_value = tstate->exc_value;\n    tmp_tb = tstate->exc_traceback;\n    tstate->exc_type = local_type;\n    tstate->exc_value = local_value;\n    tstate->exc_traceback = local_tb;\n    #endif\n    Py_XDECREF(tmp_type);\n    Py_XDECREF(tmp_value);\n    Py_XDECREF(tmp_tb);\n#else\n    PyErr_SetExcInfo(local_type, local_value, local_tb);\n#endif\n    return 0;\nbad:\n    *type = 0;\n    *value = 0;\n    *tb = 0;\n    Py_XDECREF(local_type);\n    Py_XDECREF(local_value);\n    Py_XDECREF(local_tb);\n    return -1;\n}\n\n/* BytesEquals */\n  static CYTHON_INLINE int __Pyx_PyBytes_Equals(PyObject* s1, PyObject* s2, int equals) {\n#if CYTHON_COMPILING_IN_PYPY\n    return PyObject_RichCompareBool(s1, s2, equals);\n#else\n    if (s1 == s2) {\n        return (equals == Py_EQ);\n    } else if (PyBytes_CheckExact(s1) & PyBytes_CheckExact(s2)) {\n        const char *ps1, *ps2;\n        Py_ssize_t length = PyBytes_GET_SIZE(s1);\n        if (length != PyBytes_GET_SIZE(s2))\n            return (equals == Py_NE);\n        ps1 = PyBytes_AS_STRING(s1);\n        ps2 = PyBytes_AS_STRING(s2);\n        if (ps1[0] != ps2[0]) {\n            return (equals == Py_NE);\n        } else if (length == 1) {\n            return (equals == Py_EQ);\n        } else {\n            int result;\n#if CYTHON_USE_UNICODE_INTERNALS\n            Py_hash_t hash1, hash2;\n            hash1 = ((PyBytesObject*)s1)->ob_shash;\n            hash2 = ((PyBytesObject*)s2)->ob_shash;\n            if (hash1 != hash2 && hash1 != -1 && hash2 != -1) {\n                return (equals == Py_NE);\n            }\n#endif\n            result = memcmp(ps1, ps2, (size_t)length);\n            return (equals == Py_EQ) ? (result == 0) : (result != 0);\n        }\n    } else if ((s1 == Py_None) & PyBytes_CheckExact(s2)) {\n        return (equals == Py_NE);\n    } else if ((s2 == Py_None) & PyBytes_CheckExact(s1)) {\n        return (equals == Py_NE);\n    } else {\n        int result;\n        PyObject* py_result = PyObject_RichCompare(s1, s2, equals);\n        if (!py_result)\n            return -1;\n        result = __Pyx_PyObject_IsTrue(py_result);\n        Py_DECREF(py_result);\n        return result;\n    }\n#endif\n}\n\n/* UnicodeEquals */\n  static CYTHON_INLINE int __Pyx_PyUnicode_Equals(PyObject* s1, PyObject* s2, int equals) {\n#if CYTHON_COMPILING_IN_PYPY\n    return PyObject_RichCompareBool(s1, s2, equals);\n#else\n#if PY_MAJOR_VERSION < 3\n    PyObject* owned_ref = NULL;\n#endif\n    int s1_is_unicode, s2_is_unicode;\n    if (s1 == s2) {\n        goto return_eq;\n    }\n    s1_is_unicode = PyUnicode_CheckExact(s1);\n    s2_is_unicode = PyUnicode_CheckExact(s2);\n#if PY_MAJOR_VERSION < 3\n    if ((s1_is_unicode & (!s2_is_unicode)) && PyString_CheckExact(s2)) {\n        owned_ref = PyUnicode_FromObject(s2);\n        if (unlikely(!owned_ref))\n            return -1;\n        s2 = owned_ref;\n        s2_is_unicode = 1;\n    } else if ((s2_is_unicode & (!s1_is_unicode)) && PyString_CheckExact(s1)) {\n        owned_ref = PyUnicode_FromObject(s1);\n        if (unlikely(!owned_ref))\n            return -1;\n        s1 = owned_ref;\n        s1_is_unicode = 1;\n    } else if (((!s2_is_unicode) & (!s1_is_unicode))) {\n        return __Pyx_PyBytes_Equals(s1, s2, equals);\n    }\n#endif\n    if (s1_is_unicode & s2_is_unicode) {\n        Py_ssize_t length;\n        int kind;\n        void *data1, *data2;\n        if (unlikely(__Pyx_PyUnicode_READY(s1) < 0) || unlikely(__Pyx_PyUnicode_READY(s2) < 0))\n            return -1;\n        length = __Pyx_PyUnicode_GET_LENGTH(s1);\n        if (length != __Pyx_PyUnicode_GET_LENGTH(s2)) {\n            goto return_ne;\n        }\n#if CYTHON_USE_UNICODE_INTERNALS\n        {\n            Py_hash_t hash1, hash2;\n        #if CYTHON_PEP393_ENABLED\n            hash1 = ((PyASCIIObject*)s1)->hash;\n            hash2 = ((PyASCIIObject*)s2)->hash;\n        #else\n            hash1 = ((PyUnicodeObject*)s1)->hash;\n            hash2 = ((PyUnicodeObject*)s2)->hash;\n        #endif\n            if (hash1 != hash2 && hash1 != -1 && hash2 != -1) {\n                goto return_ne;\n            }\n        }\n#endif\n        kind = __Pyx_PyUnicode_KIND(s1);\n        if (kind != __Pyx_PyUnicode_KIND(s2)) {\n            goto return_ne;\n        }\n        data1 = __Pyx_PyUnicode_DATA(s1);\n        data2 = __Pyx_PyUnicode_DATA(s2);\n        if (__Pyx_PyUnicode_READ(kind, data1, 0) != __Pyx_PyUnicode_READ(kind, data2, 0)) {\n            goto return_ne;\n        } else if (length == 1) {\n            goto return_eq;\n        } else {\n            int result = memcmp(data1, data2, (size_t)(length * kind));\n            #if PY_MAJOR_VERSION < 3\n            Py_XDECREF(owned_ref);\n            #endif\n            return (equals == Py_EQ) ? (result == 0) : (result != 0);\n        }\n    } else if ((s1 == Py_None) & s2_is_unicode) {\n        goto return_ne;\n    } else if ((s2 == Py_None) & s1_is_unicode) {\n        goto return_ne;\n    } else {\n        int result;\n        PyObject* py_result = PyObject_RichCompare(s1, s2, equals);\n        #if PY_MAJOR_VERSION < 3\n        Py_XDECREF(owned_ref);\n        #endif\n        if (!py_result)\n            return -1;\n        result = __Pyx_PyObject_IsTrue(py_result);\n        Py_DECREF(py_result);\n        return result;\n    }\nreturn_eq:\n    #if PY_MAJOR_VERSION < 3\n    Py_XDECREF(owned_ref);\n    #endif\n    return (equals == Py_EQ);\nreturn_ne:\n    #if PY_MAJOR_VERSION < 3\n    Py_XDECREF(owned_ref);\n    #endif\n    return (equals == Py_NE);\n#endif\n}\n\n/* None */\n  static CYTHON_INLINE Py_ssize_t __Pyx_div_Py_ssize_t(Py_ssize_t a, Py_ssize_t b) {\n    Py_ssize_t q = a / b;\n    Py_ssize_t r = a - q*b;\n    q -= ((r != 0) & ((r ^ b) < 0));\n    return q;\n}\n\n/* GetAttr */\n  static CYTHON_INLINE PyObject *__Pyx_GetAttr(PyObject *o, PyObject *n) {\n#if CYTHON_USE_TYPE_SLOTS\n#if PY_MAJOR_VERSION >= 3\n    if (likely(PyUnicode_Check(n)))\n#else\n    if (likely(PyString_Check(n)))\n#endif\n        return __Pyx_PyObject_GetAttrStr(o, n);\n#endif\n    return PyObject_GetAttr(o, n);\n}\n\n/* decode_c_string */\n  static CYTHON_INLINE PyObject* __Pyx_decode_c_string(\n         const char* cstring, Py_ssize_t start, Py_ssize_t stop,\n         const char* encoding, const char* errors,\n         PyObject* (*decode_func)(const char *s, Py_ssize_t size, const char *errors)) {\n    Py_ssize_t length;\n    if (unlikely((start < 0) | (stop < 0))) {\n        size_t slen = strlen(cstring);\n        if (unlikely(slen > (size_t) PY_SSIZE_T_MAX)) {\n            PyErr_SetString(PyExc_OverflowError,\n                            \"c-string too long to convert to Python\");\n            return NULL;\n        }\n        length = (Py_ssize_t) slen;\n        if (start < 0) {\n            start += length;\n            if (start < 0)\n                start = 0;\n        }\n        if (stop < 0)\n            stop += length;\n    }\n    if (unlikely(stop <= start))\n        return __Pyx_NewRef(__pyx_empty_unicode);\n    length = stop - start;\n    cstring += start;\n    if (decode_func) {\n        return decode_func(cstring, length, errors);\n    } else {\n        return PyUnicode_Decode(cstring, length, encoding, errors);\n    }\n}\n\n/* GetAttr3 */\n  static PyObject *__Pyx_GetAttr3Default(PyObject *d) {\n    __Pyx_PyThreadState_declare\n    __Pyx_PyThreadState_assign\n    if (unlikely(!__Pyx_PyErr_ExceptionMatches(PyExc_AttributeError)))\n        return NULL;\n    __Pyx_PyErr_Clear();\n    Py_INCREF(d);\n    return d;\n}\nstatic CYTHON_INLINE PyObject *__Pyx_GetAttr3(PyObject *o, PyObject *n, PyObject *d) {\n    PyObject *r = __Pyx_GetAttr(o, n);\n    return (likely(r)) ? r : __Pyx_GetAttr3Default(d);\n}\n\n/* SwapException */\n  #if CYTHON_FAST_THREAD_STATE\nstatic CYTHON_INLINE void __Pyx__ExceptionSwap(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) {\n    PyObject *tmp_type, *tmp_value, *tmp_tb;\n    #if CYTHON_USE_EXC_INFO_STACK\n    _PyErr_StackItem *exc_info = tstate->exc_info;\n    tmp_type = exc_info->exc_type;\n    tmp_value = exc_info->exc_value;\n    tmp_tb = exc_info->exc_traceback;\n    exc_info->exc_type = *type;\n    exc_info->exc_value = *value;\n    exc_info->exc_traceback = *tb;\n    #else\n    tmp_type = tstate->exc_type;\n    tmp_value = tstate->exc_value;\n    tmp_tb = tstate->exc_traceback;\n    tstate->exc_type = *type;\n    tstate->exc_value = *value;\n    tstate->exc_traceback = *tb;\n    #endif\n    *type = tmp_type;\n    *value = tmp_value;\n    *tb = tmp_tb;\n}\n#else\nstatic CYTHON_INLINE void __Pyx_ExceptionSwap(PyObject **type, PyObject **value, PyObject **tb) {\n    PyObject *tmp_type, *tmp_value, *tmp_tb;\n    PyErr_GetExcInfo(&tmp_type, &tmp_value, &tmp_tb);\n    PyErr_SetExcInfo(*type, *value, *tb);\n    *type = tmp_type;\n    *value = tmp_value;\n    *tb = tmp_tb;\n}\n#endif\n\n/* Import */\n  static PyObject *__Pyx_Import(PyObject *name, PyObject *from_list, int level) {\n    PyObject *empty_list = 0;\n    PyObject *module = 0;\n    PyObject *global_dict = 0;\n    PyObject *empty_dict = 0;\n    PyObject *list;\n    #if PY_MAJOR_VERSION < 3\n    PyObject *py_import;\n    py_import = __Pyx_PyObject_GetAttrStr(__pyx_b, __pyx_n_s_import);\n    if (!py_import)\n        goto bad;\n    #endif\n    if (from_list)\n        list = from_list;\n    else {\n        empty_list = PyList_New(0);\n        if (!empty_list)\n            goto bad;\n        list = empty_list;\n    }\n    global_dict = PyModule_GetDict(__pyx_m);\n    if (!global_dict)\n        goto bad;\n    empty_dict = PyDict_New();\n    if (!empty_dict)\n        goto bad;\n    {\n        #if PY_MAJOR_VERSION >= 3\n        if (level == -1) {\n            if ((1) && (strchr(__Pyx_MODULE_NAME, '.'))) {\n                module = PyImport_ImportModuleLevelObject(\n                    name, global_dict, empty_dict, list, 1);\n                if (!module) {\n                    if (!PyErr_ExceptionMatches(PyExc_ImportError))\n                        goto bad;\n                    PyErr_Clear();\n                }\n            }\n            level = 0;\n        }\n        #endif\n        if (!module) {\n            #if PY_MAJOR_VERSION < 3\n            PyObject *py_level = PyInt_FromLong(level);\n            if (!py_level)\n                goto bad;\n            module = PyObject_CallFunctionObjArgs(py_import,\n                name, global_dict, empty_dict, list, py_level, (PyObject *)NULL);\n            Py_DECREF(py_level);\n            #else\n            module = PyImport_ImportModuleLevelObject(\n                name, global_dict, empty_dict, list, level);\n            #endif\n        }\n    }\nbad:\n    #if PY_MAJOR_VERSION < 3\n    Py_XDECREF(py_import);\n    #endif\n    Py_XDECREF(empty_list);\n    Py_XDECREF(empty_dict);\n    return module;\n}\n\n/* FastTypeChecks */\n  #if CYTHON_COMPILING_IN_CPYTHON\nstatic int __Pyx_InBases(PyTypeObject *a, PyTypeObject *b) {\n    while (a) {\n        a = a->tp_base;\n        if (a == b)\n            return 1;\n    }\n    return b == &PyBaseObject_Type;\n}\nstatic CYTHON_INLINE int __Pyx_IsSubtype(PyTypeObject *a, PyTypeObject *b) {\n    PyObject *mro;\n    if (a == b) return 1;\n    mro = a->tp_mro;\n    if (likely(mro)) {\n        Py_ssize_t i, n;\n        n = PyTuple_GET_SIZE(mro);\n        for (i = 0; i < n; i++) {\n            if (PyTuple_GET_ITEM(mro, i) == (PyObject *)b)\n                return 1;\n        }\n        return 0;\n    }\n    return __Pyx_InBases(a, b);\n}\n#if PY_MAJOR_VERSION == 2\nstatic int __Pyx_inner_PyErr_GivenExceptionMatches2(PyObject *err, PyObject* exc_type1, PyObject* exc_type2) {\n    PyObject *exception, *value, *tb;\n    int res;\n    __Pyx_PyThreadState_declare\n    __Pyx_PyThreadState_assign\n    __Pyx_ErrFetch(&exception, &value, &tb);\n    res = exc_type1 ? PyObject_IsSubclass(err, exc_type1) : 0;\n    if (unlikely(res == -1)) {\n        PyErr_WriteUnraisable(err);\n        res = 0;\n    }\n    if (!res) {\n        res = PyObject_IsSubclass(err, exc_type2);\n        if (unlikely(res == -1)) {\n            PyErr_WriteUnraisable(err);\n            res = 0;\n        }\n    }\n    __Pyx_ErrRestore(exception, value, tb);\n    return res;\n}\n#else\nstatic CYTHON_INLINE int __Pyx_inner_PyErr_GivenExceptionMatches2(PyObject *err, PyObject* exc_type1, PyObject *exc_type2) {\n    int res = exc_type1 ? __Pyx_IsSubtype((PyTypeObject*)err, (PyTypeObject*)exc_type1) : 0;\n    if (!res) {\n        res = __Pyx_IsSubtype((PyTypeObject*)err, (PyTypeObject*)exc_type2);\n    }\n    return res;\n}\n#endif\nstatic int __Pyx_PyErr_GivenExceptionMatchesTuple(PyObject *exc_type, PyObject *tuple) {\n    Py_ssize_t i, n;\n    assert(PyExceptionClass_Check(exc_type));\n    n = PyTuple_GET_SIZE(tuple);\n#if PY_MAJOR_VERSION >= 3\n    for (i=0; i<n; i++) {\n        if (exc_type == PyTuple_GET_ITEM(tuple, i)) return 1;\n    }\n#endif\n    for (i=0; i<n; i++) {\n        PyObject *t = PyTuple_GET_ITEM(tuple, i);\n        #if PY_MAJOR_VERSION < 3\n        if (likely(exc_type == t)) return 1;\n        #endif\n        if (likely(PyExceptionClass_Check(t))) {\n            if (__Pyx_inner_PyErr_GivenExceptionMatches2(exc_type, NULL, t)) return 1;\n        } else {\n        }\n    }\n    return 0;\n}\nstatic CYTHON_INLINE int __Pyx_PyErr_GivenExceptionMatches(PyObject *err, PyObject* exc_type) {\n    if (likely(err == exc_type)) return 1;\n    if (likely(PyExceptionClass_Check(err))) {\n        if (likely(PyExceptionClass_Check(exc_type))) {\n            return __Pyx_inner_PyErr_GivenExceptionMatches2(err, NULL, exc_type);\n        } else if (likely(PyTuple_Check(exc_type))) {\n            return __Pyx_PyErr_GivenExceptionMatchesTuple(err, exc_type);\n        } else {\n        }\n    }\n    return PyErr_GivenExceptionMatches(err, exc_type);\n}\nstatic CYTHON_INLINE int __Pyx_PyErr_GivenExceptionMatches2(PyObject *err, PyObject *exc_type1, PyObject *exc_type2) {\n    assert(PyExceptionClass_Check(exc_type1));\n    assert(PyExceptionClass_Check(exc_type2));\n    if (likely(err == exc_type1 || err == exc_type2)) return 1;\n    if (likely(PyExceptionClass_Check(err))) {\n        return __Pyx_inner_PyErr_GivenExceptionMatches2(err, exc_type1, exc_type2);\n    }\n    return (PyErr_GivenExceptionMatches(err, exc_type1) || PyErr_GivenExceptionMatches(err, exc_type2));\n}\n#endif\n\n/* PyIntBinop */\n  #if !CYTHON_COMPILING_IN_PYPY\nstatic PyObject* __Pyx_PyInt_AddObjC(PyObject *op1, PyObject *op2, CYTHON_UNUSED long intval, int inplace, int zerodivision_check) {\n    (void)inplace;\n    (void)zerodivision_check;\n    #if PY_MAJOR_VERSION < 3\n    if (likely(PyInt_CheckExact(op1))) {\n        const long b = intval;\n        long x;\n        long a = PyInt_AS_LONG(op1);\n            x = (long)((unsigned long)a + b);\n            if (likely((x^a) >= 0 || (x^b) >= 0))\n                return PyInt_FromLong(x);\n            return PyLong_Type.tp_as_number->nb_add(op1, op2);\n    }\n    #endif\n    #if CYTHON_USE_PYLONG_INTERNALS\n    if (likely(PyLong_CheckExact(op1))) {\n        const long b = intval;\n        long a, x;\n#ifdef HAVE_LONG_LONG\n        const PY_LONG_LONG llb = intval;\n        PY_LONG_LONG lla, llx;\n#endif\n        const digit* digits = ((PyLongObject*)op1)->ob_digit;\n        const Py_ssize_t size = Py_SIZE(op1);\n        if (likely(__Pyx_sst_abs(size) <= 1)) {\n            a = likely(size) ? digits[0] : 0;\n            if (size == -1) a = -a;\n        } else {\n            switch (size) {\n                case -2:\n                    if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) {\n                        a = -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));\n                        break;\n#ifdef HAVE_LONG_LONG\n                    } else if (8 * sizeof(PY_LONG_LONG) - 1 > 2 * PyLong_SHIFT) {\n                        lla = -(PY_LONG_LONG) (((((unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));\n                        goto long_long;\n#endif\n                    }\n                    CYTHON_FALLTHROUGH;\n                case 2:\n                    if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) {\n                        a = (long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));\n                        break;\n#ifdef HAVE_LONG_LONG\n                    } else if (8 * sizeof(PY_LONG_LONG) - 1 > 2 * PyLong_SHIFT) {\n                        lla = (PY_LONG_LONG) (((((unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));\n                        goto long_long;\n#endif\n                    }\n                    CYTHON_FALLTHROUGH;\n                case -3:\n                    if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) {\n                        a = -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));\n                        break;\n#ifdef HAVE_LONG_LONG\n                    } else if (8 * sizeof(PY_LONG_LONG) - 1 > 3 * PyLong_SHIFT) {\n                        lla = -(PY_LONG_LONG) (((((((unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));\n                        goto long_long;\n#endif\n                    }\n                    CYTHON_FALLTHROUGH;\n                case 3:\n                    if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) {\n                        a = (long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));\n                        break;\n#ifdef HAVE_LONG_LONG\n                    } else if (8 * sizeof(PY_LONG_LONG) - 1 > 3 * PyLong_SHIFT) {\n                        lla = (PY_LONG_LONG) (((((((unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));\n                        goto long_long;\n#endif\n                    }\n                    CYTHON_FALLTHROUGH;\n                case -4:\n                    if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) {\n                        a = -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));\n                        break;\n#ifdef HAVE_LONG_LONG\n                    } else if (8 * sizeof(PY_LONG_LONG) - 1 > 4 * PyLong_SHIFT) {\n                        lla = -(PY_LONG_LONG) (((((((((unsigned PY_LONG_LONG)digits[3]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));\n                        goto long_long;\n#endif\n                    }\n                    CYTHON_FALLTHROUGH;\n                case 4:\n                    if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) {\n                        a = (long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));\n                        break;\n#ifdef HAVE_LONG_LONG\n                    } else if (8 * sizeof(PY_LONG_LONG) - 1 > 4 * PyLong_SHIFT) {\n                        lla = (PY_LONG_LONG) (((((((((unsigned PY_LONG_LONG)digits[3]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));\n                        goto long_long;\n#endif\n                    }\n                    CYTHON_FALLTHROUGH;\n                default: return PyLong_Type.tp_as_number->nb_add(op1, op2);\n            }\n        }\n                x = a + b;\n            return PyLong_FromLong(x);\n#ifdef HAVE_LONG_LONG\n        long_long:\n                llx = lla + llb;\n            return PyLong_FromLongLong(llx);\n#endif\n        \n        \n    }\n    #endif\n    if (PyFloat_CheckExact(op1)) {\n        const long b = intval;\n        double a = PyFloat_AS_DOUBLE(op1);\n            double result;\n            PyFPE_START_PROTECT(\"add\", return NULL)\n            result = ((double)a) + (double)b;\n            PyFPE_END_PROTECT(result)\n            return PyFloat_FromDouble(result);\n    }\n    return (inplace ? PyNumber_InPlaceAdd : PyNumber_Add)(op1, op2);\n}\n#endif\n\n/* None */\n  static CYTHON_INLINE void __Pyx_RaiseUnboundLocalError(const char *varname) {\n    PyErr_Format(PyExc_UnboundLocalError, \"local variable '%s' referenced before assignment\", varname);\n}\n\n/* ImportFrom */\n  static PyObject* __Pyx_ImportFrom(PyObject* module, PyObject* name) {\n    PyObject* value = __Pyx_PyObject_GetAttrStr(module, name);\n    if (unlikely(!value) && PyErr_ExceptionMatches(PyExc_AttributeError)) {\n        PyErr_Format(PyExc_ImportError,\n        #if PY_MAJOR_VERSION < 3\n            \"cannot import name %.230s\", PyString_AS_STRING(name));\n        #else\n            \"cannot import name %S\", name);\n        #endif\n    }\n    return value;\n}\n\n/* HasAttr */\n  static CYTHON_INLINE int __Pyx_HasAttr(PyObject *o, PyObject *n) {\n    PyObject *r;\n    if (unlikely(!__Pyx_PyBaseString_Check(n))) {\n        PyErr_SetString(PyExc_TypeError,\n                        \"hasattr(): attribute name must be string\");\n        return -1;\n    }\n    r = __Pyx_GetAttr(o, n);\n    if (unlikely(!r)) {\n        PyErr_Clear();\n        return 0;\n    } else {\n        Py_DECREF(r);\n        return 1;\n    }\n}\n\n/* PyObject_GenericGetAttrNoDict */\n  #if CYTHON_USE_TYPE_SLOTS && CYTHON_USE_PYTYPE_LOOKUP && PY_VERSION_HEX < 0x03070000\nstatic PyObject *__Pyx_RaiseGenericGetAttributeError(PyTypeObject *tp, PyObject *attr_name) {\n    PyErr_Format(PyExc_AttributeError,\n#if PY_MAJOR_VERSION >= 3\n                 \"'%.50s' object has no attribute '%U'\",\n                 tp->tp_name, attr_name);\n#else\n                 \"'%.50s' object has no attribute '%.400s'\",\n                 tp->tp_name, PyString_AS_STRING(attr_name));\n#endif\n    return NULL;\n}\nstatic CYTHON_INLINE PyObject* __Pyx_PyObject_GenericGetAttrNoDict(PyObject* obj, PyObject* attr_name) {\n    PyObject *descr;\n    PyTypeObject *tp = Py_TYPE(obj);\n    if (unlikely(!PyString_Check(attr_name))) {\n        return PyObject_GenericGetAttr(obj, attr_name);\n    }\n    assert(!tp->tp_dictoffset);\n    descr = _PyType_Lookup(tp, attr_name);\n    if (unlikely(!descr)) {\n        return __Pyx_RaiseGenericGetAttributeError(tp, attr_name);\n    }\n    Py_INCREF(descr);\n    #if PY_MAJOR_VERSION < 3\n    if (likely(PyType_HasFeature(Py_TYPE(descr), Py_TPFLAGS_HAVE_CLASS)))\n    #endif\n    {\n        descrgetfunc f = Py_TYPE(descr)->tp_descr_get;\n        if (unlikely(f)) {\n            PyObject *res = f(descr, obj, (PyObject *)tp);\n            Py_DECREF(descr);\n            return res;\n        }\n    }\n    return descr;\n}\n#endif\n\n/* PyObject_GenericGetAttr */\n  #if CYTHON_USE_TYPE_SLOTS && CYTHON_USE_PYTYPE_LOOKUP && PY_VERSION_HEX < 0x03070000\nstatic PyObject* __Pyx_PyObject_GenericGetAttr(PyObject* obj, PyObject* attr_name) {\n    if (unlikely(Py_TYPE(obj)->tp_dictoffset)) {\n        return PyObject_GenericGetAttr(obj, attr_name);\n    }\n    return __Pyx_PyObject_GenericGetAttrNoDict(obj, attr_name);\n}\n#endif\n\n/* SetVTable */\n  static int __Pyx_SetVtable(PyObject *dict, void *vtable) {\n#if PY_VERSION_HEX >= 0x02070000\n    PyObject *ob = PyCapsule_New(vtable, 0, 0);\n#else\n    PyObject *ob = PyCObject_FromVoidPtr(vtable, 0);\n#endif\n    if (!ob)\n        goto bad;\n    if (PyDict_SetItem(dict, __pyx_n_s_pyx_vtable, ob) < 0)\n        goto bad;\n    Py_DECREF(ob);\n    return 0;\nbad:\n    Py_XDECREF(ob);\n    return -1;\n}\n\n/* PyObjectGetAttrStrNoError */\n  static void __Pyx_PyObject_GetAttrStr_ClearAttributeError(void) {\n    __Pyx_PyThreadState_declare\n    __Pyx_PyThreadState_assign\n    if (likely(__Pyx_PyErr_ExceptionMatches(PyExc_AttributeError)))\n        __Pyx_PyErr_Clear();\n}\nstatic CYTHON_INLINE PyObject* __Pyx_PyObject_GetAttrStrNoError(PyObject* obj, PyObject* attr_name) {\n    PyObject *result;\n#if CYTHON_COMPILING_IN_CPYTHON && CYTHON_USE_TYPE_SLOTS && PY_VERSION_HEX >= 0x030700B1\n    PyTypeObject* tp = Py_TYPE(obj);\n    if (likely(tp->tp_getattro == PyObject_GenericGetAttr)) {\n        return _PyObject_GenericGetAttrWithDict(obj, attr_name, NULL, 1);\n    }\n#endif\n    result = __Pyx_PyObject_GetAttrStr(obj, attr_name);\n    if (unlikely(!result)) {\n        __Pyx_PyObject_GetAttrStr_ClearAttributeError();\n    }\n    return result;\n}\n\n/* SetupReduce */\n  static int __Pyx_setup_reduce_is_named(PyObject* meth, PyObject* name) {\n  int ret;\n  PyObject *name_attr;\n  name_attr = __Pyx_PyObject_GetAttrStr(meth, __pyx_n_s_name_2);\n  if (likely(name_attr)) {\n      ret = PyObject_RichCompareBool(name_attr, name, Py_EQ);\n  } else {\n      ret = -1;\n  }\n  if (unlikely(ret < 0)) {\n      PyErr_Clear();\n      ret = 0;\n  }\n  Py_XDECREF(name_attr);\n  return ret;\n}\nstatic int __Pyx_setup_reduce(PyObject* type_obj) {\n    int ret = 0;\n    PyObject *object_reduce = NULL;\n    PyObject *object_reduce_ex = NULL;\n    PyObject *reduce = NULL;\n    PyObject *reduce_ex = NULL;\n    PyObject *reduce_cython = NULL;\n    PyObject *setstate = NULL;\n    PyObject *setstate_cython = NULL;\n#if CYTHON_USE_PYTYPE_LOOKUP\n    if (_PyType_Lookup((PyTypeObject*)type_obj, __pyx_n_s_getstate)) goto __PYX_GOOD;\n#else\n    if (PyObject_HasAttr(type_obj, __pyx_n_s_getstate)) goto __PYX_GOOD;\n#endif\n#if CYTHON_USE_PYTYPE_LOOKUP\n    object_reduce_ex = _PyType_Lookup(&PyBaseObject_Type, __pyx_n_s_reduce_ex); if (!object_reduce_ex) goto __PYX_BAD;\n#else\n    object_reduce_ex = __Pyx_PyObject_GetAttrStr((PyObject*)&PyBaseObject_Type, __pyx_n_s_reduce_ex); if (!object_reduce_ex) goto __PYX_BAD;\n#endif\n    reduce_ex = __Pyx_PyObject_GetAttrStr(type_obj, __pyx_n_s_reduce_ex); if (unlikely(!reduce_ex)) goto __PYX_BAD;\n    if (reduce_ex == object_reduce_ex) {\n#if CYTHON_USE_PYTYPE_LOOKUP\n        object_reduce = _PyType_Lookup(&PyBaseObject_Type, __pyx_n_s_reduce); if (!object_reduce) goto __PYX_BAD;\n#else\n        object_reduce = __Pyx_PyObject_GetAttrStr((PyObject*)&PyBaseObject_Type, __pyx_n_s_reduce); if (!object_reduce) goto __PYX_BAD;\n#endif\n        reduce = __Pyx_PyObject_GetAttrStr(type_obj, __pyx_n_s_reduce); if (unlikely(!reduce)) goto __PYX_BAD;\n        if (reduce == object_reduce || __Pyx_setup_reduce_is_named(reduce, __pyx_n_s_reduce_cython)) {\n            reduce_cython = __Pyx_PyObject_GetAttrStrNoError(type_obj, __pyx_n_s_reduce_cython);\n            if (likely(reduce_cython)) {\n                ret = PyDict_SetItem(((PyTypeObject*)type_obj)->tp_dict, __pyx_n_s_reduce, reduce_cython); if (unlikely(ret < 0)) goto __PYX_BAD;\n                ret = PyDict_DelItem(((PyTypeObject*)type_obj)->tp_dict, __pyx_n_s_reduce_cython); if (unlikely(ret < 0)) goto __PYX_BAD;\n            } else if (reduce == object_reduce || PyErr_Occurred()) {\n                goto __PYX_BAD;\n            }\n            setstate = __Pyx_PyObject_GetAttrStr(type_obj, __pyx_n_s_setstate);\n            if (!setstate) PyErr_Clear();\n            if (!setstate || __Pyx_setup_reduce_is_named(setstate, __pyx_n_s_setstate_cython)) {\n                setstate_cython = __Pyx_PyObject_GetAttrStrNoError(type_obj, __pyx_n_s_setstate_cython);\n                if (likely(setstate_cython)) {\n                    ret = PyDict_SetItem(((PyTypeObject*)type_obj)->tp_dict, __pyx_n_s_setstate, setstate_cython); if (unlikely(ret < 0)) goto __PYX_BAD;\n                    ret = PyDict_DelItem(((PyTypeObject*)type_obj)->tp_dict, __pyx_n_s_setstate_cython); if (unlikely(ret < 0)) goto __PYX_BAD;\n                } else if (!setstate || PyErr_Occurred()) {\n                    goto __PYX_BAD;\n                }\n            }\n            PyType_Modified((PyTypeObject*)type_obj);\n        }\n    }\n    goto __PYX_GOOD;\n__PYX_BAD:\n    if (!PyErr_Occurred())\n        PyErr_Format(PyExc_RuntimeError, \"Unable to initialize pickling for %s\", ((PyTypeObject*)type_obj)->tp_name);\n    ret = -1;\n__PYX_GOOD:\n#if !CYTHON_USE_PYTYPE_LOOKUP\n    Py_XDECREF(object_reduce);\n    Py_XDECREF(object_reduce_ex);\n#endif\n    Py_XDECREF(reduce);\n    Py_XDECREF(reduce_ex);\n    Py_XDECREF(reduce_cython);\n    Py_XDECREF(setstate);\n    Py_XDECREF(setstate_cython);\n    return ret;\n}\n\n/* TypeImport */\n  #ifndef __PYX_HAVE_RT_ImportType\n#define __PYX_HAVE_RT_ImportType\nstatic PyTypeObject *__Pyx_ImportType(PyObject *module, const char *module_name, const char *class_name,\n    size_t size, enum __Pyx_ImportType_CheckSize check_size)\n{\n    PyObject *result = 0;\n    char warning[200];\n    Py_ssize_t basicsize;\n#ifdef Py_LIMITED_API\n    PyObject *py_basicsize;\n#endif\n    result = PyObject_GetAttrString(module, class_name);\n    if (!result)\n        goto bad;\n    if (!PyType_Check(result)) {\n        PyErr_Format(PyExc_TypeError,\n            \"%.200s.%.200s is not a type object\",\n            module_name, class_name);\n        goto bad;\n    }\n#ifndef Py_LIMITED_API\n    basicsize = ((PyTypeObject *)result)->tp_basicsize;\n#else\n    py_basicsize = PyObject_GetAttrString(result, \"__basicsize__\");\n    if (!py_basicsize)\n        goto bad;\n    basicsize = PyLong_AsSsize_t(py_basicsize);\n    Py_DECREF(py_basicsize);\n    py_basicsize = 0;\n    if (basicsize == (Py_ssize_t)-1 && PyErr_Occurred())\n        goto bad;\n#endif\n    if ((size_t)basicsize < size) {\n        PyErr_Format(PyExc_ValueError,\n            \"%.200s.%.200s size changed, may indicate binary incompatibility. \"\n            \"Expected %zd from C header, got %zd from PyObject\",\n            module_name, class_name, size, basicsize);\n        goto bad;\n    }\n    if (check_size == __Pyx_ImportType_CheckSize_Error && (size_t)basicsize != size) {\n        PyErr_Format(PyExc_ValueError,\n            \"%.200s.%.200s size changed, may indicate binary incompatibility. \"\n            \"Expected %zd from C header, got %zd from PyObject\",\n            module_name, class_name, size, basicsize);\n        goto bad;\n    }\n    else if (check_size == __Pyx_ImportType_CheckSize_Warn && (size_t)basicsize > size) {\n        PyOS_snprintf(warning, sizeof(warning),\n            \"%s.%s size changed, may indicate binary incompatibility. \"\n            \"Expected %zd from C header, got %zd from PyObject\",\n            module_name, class_name, size, basicsize);\n        if (PyErr_WarnEx(NULL, warning, 0) < 0) goto bad;\n    }\n    return (PyTypeObject *)result;\nbad:\n    Py_XDECREF(result);\n    return NULL;\n}\n#endif\n\n/* FetchCommonType */\n  static PyTypeObject* __Pyx_FetchCommonType(PyTypeObject* type) {\n    PyObject* fake_module;\n    PyTypeObject* cached_type = NULL;\n    fake_module = PyImport_AddModule((char*) \"_cython_\" CYTHON_ABI);\n    if (!fake_module) return NULL;\n    Py_INCREF(fake_module);\n    cached_type = (PyTypeObject*) PyObject_GetAttrString(fake_module, type->tp_name);\n    if (cached_type) {\n        if (!PyType_Check((PyObject*)cached_type)) {\n            PyErr_Format(PyExc_TypeError,\n                \"Shared Cython type %.200s is not a type object\",\n                type->tp_name);\n            goto bad;\n        }\n        if (cached_type->tp_basicsize != type->tp_basicsize) {\n            PyErr_Format(PyExc_TypeError,\n                \"Shared Cython type %.200s has the wrong size, try recompiling\",\n                type->tp_name);\n            goto bad;\n        }\n    } else {\n        if (!PyErr_ExceptionMatches(PyExc_AttributeError)) goto bad;\n        PyErr_Clear();\n        if (PyType_Ready(type) < 0) goto bad;\n        if (PyObject_SetAttrString(fake_module, type->tp_name, (PyObject*) type) < 0)\n            goto bad;\n        Py_INCREF(type);\n        cached_type = type;\n    }\ndone:\n    Py_DECREF(fake_module);\n    return cached_type;\nbad:\n    Py_XDECREF(cached_type);\n    cached_type = NULL;\n    goto done;\n}\n\n/* CythonFunctionShared */\n  #include <structmember.h>\nstatic PyObject *\n__Pyx_CyFunction_get_doc(__pyx_CyFunctionObject *op, CYTHON_UNUSED void *closure)\n{\n    if (unlikely(op->func_doc == NULL)) {\n        if (op->func.m_ml->ml_doc) {\n#if PY_MAJOR_VERSION >= 3\n            op->func_doc = PyUnicode_FromString(op->func.m_ml->ml_doc);\n#else\n            op->func_doc = PyString_FromString(op->func.m_ml->ml_doc);\n#endif\n            if (unlikely(op->func_doc == NULL))\n                return NULL;\n        } else {\n            Py_INCREF(Py_None);\n            return Py_None;\n        }\n    }\n    Py_INCREF(op->func_doc);\n    return op->func_doc;\n}\nstatic int\n__Pyx_CyFunction_set_doc(__pyx_CyFunctionObject *op, PyObject *value, CYTHON_UNUSED void *context)\n{\n    PyObject *tmp = op->func_doc;\n    if (value == NULL) {\n        value = Py_None;\n    }\n    Py_INCREF(value);\n    op->func_doc = value;\n    Py_XDECREF(tmp);\n    return 0;\n}\nstatic PyObject *\n__Pyx_CyFunction_get_name(__pyx_CyFunctionObject *op, CYTHON_UNUSED void *context)\n{\n    if (unlikely(op->func_name == NULL)) {\n#if PY_MAJOR_VERSION >= 3\n        op->func_name = PyUnicode_InternFromString(op->func.m_ml->ml_name);\n#else\n        op->func_name = PyString_InternFromString(op->func.m_ml->ml_name);\n#endif\n        if (unlikely(op->func_name == NULL))\n            return NULL;\n    }\n    Py_INCREF(op->func_name);\n    return op->func_name;\n}\nstatic int\n__Pyx_CyFunction_set_name(__pyx_CyFunctionObject *op, PyObject *value, CYTHON_UNUSED void *context)\n{\n    PyObject *tmp;\n#if PY_MAJOR_VERSION >= 3\n    if (unlikely(value == NULL || !PyUnicode_Check(value)))\n#else\n    if (unlikely(value == NULL || !PyString_Check(value)))\n#endif\n    {\n        PyErr_SetString(PyExc_TypeError,\n                        \"__name__ must be set to a string object\");\n        return -1;\n    }\n    tmp = op->func_name;\n    Py_INCREF(value);\n    op->func_name = value;\n    Py_XDECREF(tmp);\n    return 0;\n}\nstatic PyObject *\n__Pyx_CyFunction_get_qualname(__pyx_CyFunctionObject *op, CYTHON_UNUSED void *context)\n{\n    Py_INCREF(op->func_qualname);\n    return op->func_qualname;\n}\nstatic int\n__Pyx_CyFunction_set_qualname(__pyx_CyFunctionObject *op, PyObject *value, CYTHON_UNUSED void *context)\n{\n    PyObject *tmp;\n#if PY_MAJOR_VERSION >= 3\n    if (unlikely(value == NULL || !PyUnicode_Check(value)))\n#else\n    if (unlikely(value == NULL || !PyString_Check(value)))\n#endif\n    {\n        PyErr_SetString(PyExc_TypeError,\n                        \"__qualname__ must be set to a string object\");\n        return -1;\n    }\n    tmp = op->func_qualname;\n    Py_INCREF(value);\n    op->func_qualname = value;\n    Py_XDECREF(tmp);\n    return 0;\n}\nstatic PyObject *\n__Pyx_CyFunction_get_self(__pyx_CyFunctionObject *m, CYTHON_UNUSED void *closure)\n{\n    PyObject *self;\n    self = m->func_closure;\n    if (self == NULL)\n        self = Py_None;\n    Py_INCREF(self);\n    return self;\n}\nstatic PyObject *\n__Pyx_CyFunction_get_dict(__pyx_CyFunctionObject *op, CYTHON_UNUSED void *context)\n{\n    if (unlikely(op->func_dict == NULL)) {\n        op->func_dict = PyDict_New();\n        if (unlikely(op->func_dict == NULL))\n            return NULL;\n    }\n    Py_INCREF(op->func_dict);\n    return op->func_dict;\n}\nstatic int\n__Pyx_CyFunction_set_dict(__pyx_CyFunctionObject *op, PyObject *value, CYTHON_UNUSED void *context)\n{\n    PyObject *tmp;\n    if (unlikely(value == NULL)) {\n        PyErr_SetString(PyExc_TypeError,\n               \"function's dictionary may not be deleted\");\n        return -1;\n    }\n    if (unlikely(!PyDict_Check(value))) {\n        PyErr_SetString(PyExc_TypeError,\n               \"setting function's dictionary to a non-dict\");\n        return -1;\n    }\n    tmp = op->func_dict;\n    Py_INCREF(value);\n    op->func_dict = value;\n    Py_XDECREF(tmp);\n    return 0;\n}\nstatic PyObject *\n__Pyx_CyFunction_get_globals(__pyx_CyFunctionObject *op, CYTHON_UNUSED void *context)\n{\n    Py_INCREF(op->func_globals);\n    return op->func_globals;\n}\nstatic PyObject *\n__Pyx_CyFunction_get_closure(CYTHON_UNUSED __pyx_CyFunctionObject *op, CYTHON_UNUSED void *context)\n{\n    Py_INCREF(Py_None);\n    return Py_None;\n}\nstatic PyObject *\n__Pyx_CyFunction_get_code(__pyx_CyFunctionObject *op, CYTHON_UNUSED void *context)\n{\n    PyObject* result = (op->func_code) ? op->func_code : Py_None;\n    Py_INCREF(result);\n    return result;\n}\nstatic int\n__Pyx_CyFunction_init_defaults(__pyx_CyFunctionObject *op) {\n    int result = 0;\n    PyObject *res = op->defaults_getter((PyObject *) op);\n    if (unlikely(!res))\n        return -1;\n    #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS\n    op->defaults_tuple = PyTuple_GET_ITEM(res, 0);\n    Py_INCREF(op->defaults_tuple);\n    op->defaults_kwdict = PyTuple_GET_ITEM(res, 1);\n    Py_INCREF(op->defaults_kwdict);\n    #else\n    op->defaults_tuple = PySequence_ITEM(res, 0);\n    if (unlikely(!op->defaults_tuple)) result = -1;\n    else {\n        op->defaults_kwdict = PySequence_ITEM(res, 1);\n        if (unlikely(!op->defaults_kwdict)) result = -1;\n    }\n    #endif\n    Py_DECREF(res);\n    return result;\n}\nstatic int\n__Pyx_CyFunction_set_defaults(__pyx_CyFunctionObject *op, PyObject* value, CYTHON_UNUSED void *context) {\n    PyObject* tmp;\n    if (!value) {\n        value = Py_None;\n    } else if (value != Py_None && !PyTuple_Check(value)) {\n        PyErr_SetString(PyExc_TypeError,\n                        \"__defaults__ must be set to a tuple object\");\n        return -1;\n    }\n    Py_INCREF(value);\n    tmp = op->defaults_tuple;\n    op->defaults_tuple = value;\n    Py_XDECREF(tmp);\n    return 0;\n}\nstatic PyObject *\n__Pyx_CyFunction_get_defaults(__pyx_CyFunctionObject *op, CYTHON_UNUSED void *context) {\n    PyObject* result = op->defaults_tuple;\n    if (unlikely(!result)) {\n        if (op->defaults_getter) {\n            if (__Pyx_CyFunction_init_defaults(op) < 0) return NULL;\n            result = op->defaults_tuple;\n        } else {\n            result = Py_None;\n        }\n    }\n    Py_INCREF(result);\n    return result;\n}\nstatic int\n__Pyx_CyFunction_set_kwdefaults(__pyx_CyFunctionObject *op, PyObject* value, CYTHON_UNUSED void *context) {\n    PyObject* tmp;\n    if (!value) {\n        value = Py_None;\n    } else if (value != Py_None && !PyDict_Check(value)) {\n        PyErr_SetString(PyExc_TypeError,\n                        \"__kwdefaults__ must be set to a dict object\");\n        return -1;\n    }\n    Py_INCREF(value);\n    tmp = op->defaults_kwdict;\n    op->defaults_kwdict = value;\n    Py_XDECREF(tmp);\n    return 0;\n}\nstatic PyObject *\n__Pyx_CyFunction_get_kwdefaults(__pyx_CyFunctionObject *op, CYTHON_UNUSED void *context) {\n    PyObject* result = op->defaults_kwdict;\n    if (unlikely(!result)) {\n        if (op->defaults_getter) {\n            if (__Pyx_CyFunction_init_defaults(op) < 0) return NULL;\n            result = op->defaults_kwdict;\n        } else {\n            result = Py_None;\n        }\n    }\n    Py_INCREF(result);\n    return result;\n}\nstatic int\n__Pyx_CyFunction_set_annotations(__pyx_CyFunctionObject *op, PyObject* value, CYTHON_UNUSED void *context) {\n    PyObject* tmp;\n    if (!value || value == Py_None) {\n        value = NULL;\n    } else if (!PyDict_Check(value)) {\n        PyErr_SetString(PyExc_TypeError,\n                        \"__annotations__ must be set to a dict object\");\n        return -1;\n    }\n    Py_XINCREF(value);\n    tmp = op->func_annotations;\n    op->func_annotations = value;\n    Py_XDECREF(tmp);\n    return 0;\n}\nstatic PyObject *\n__Pyx_CyFunction_get_annotations(__pyx_CyFunctionObject *op, CYTHON_UNUSED void *context) {\n    PyObject* result = op->func_annotations;\n    if (unlikely(!result)) {\n        result = PyDict_New();\n        if (unlikely(!result)) return NULL;\n        op->func_annotations = result;\n    }\n    Py_INCREF(result);\n    return result;\n}\nstatic PyGetSetDef __pyx_CyFunction_getsets[] = {\n    {(char *) \"func_doc\", (getter)__Pyx_CyFunction_get_doc, (setter)__Pyx_CyFunction_set_doc, 0, 0},\n    {(char *) \"__doc__\",  (getter)__Pyx_CyFunction_get_doc, (setter)__Pyx_CyFunction_set_doc, 0, 0},\n    {(char *) \"func_name\", (getter)__Pyx_CyFunction_get_name, (setter)__Pyx_CyFunction_set_name, 0, 0},\n    {(char *) \"__name__\", (getter)__Pyx_CyFunction_get_name, (setter)__Pyx_CyFunction_set_name, 0, 0},\n    {(char *) \"__qualname__\", (getter)__Pyx_CyFunction_get_qualname, (setter)__Pyx_CyFunction_set_qualname, 0, 0},\n    {(char *) \"__self__\", (getter)__Pyx_CyFunction_get_self, 0, 0, 0},\n    {(char *) \"func_dict\", (getter)__Pyx_CyFunction_get_dict, (setter)__Pyx_CyFunction_set_dict, 0, 0},\n    {(char *) \"__dict__\", (getter)__Pyx_CyFunction_get_dict, (setter)__Pyx_CyFunction_set_dict, 0, 0},\n    {(char *) \"func_globals\", (getter)__Pyx_CyFunction_get_globals, 0, 0, 0},\n    {(char *) \"__globals__\", (getter)__Pyx_CyFunction_get_globals, 0, 0, 0},\n    {(char *) \"func_closure\", (getter)__Pyx_CyFunction_get_closure, 0, 0, 0},\n    {(char *) \"__closure__\", (getter)__Pyx_CyFunction_get_closure, 0, 0, 0},\n    {(char *) \"func_code\", (getter)__Pyx_CyFunction_get_code, 0, 0, 0},\n    {(char *) \"__code__\", (getter)__Pyx_CyFunction_get_code, 0, 0, 0},\n    {(char *) \"func_defaults\", (getter)__Pyx_CyFunction_get_defaults, (setter)__Pyx_CyFunction_set_defaults, 0, 0},\n    {(char *) \"__defaults__\", (getter)__Pyx_CyFunction_get_defaults, (setter)__Pyx_CyFunction_set_defaults, 0, 0},\n    {(char *) \"__kwdefaults__\", (getter)__Pyx_CyFunction_get_kwdefaults, (setter)__Pyx_CyFunction_set_kwdefaults, 0, 0},\n    {(char *) \"__annotations__\", (getter)__Pyx_CyFunction_get_annotations, (setter)__Pyx_CyFunction_set_annotations, 0, 0},\n    {0, 0, 0, 0, 0}\n};\nstatic PyMemberDef __pyx_CyFunction_members[] = {\n    {(char *) \"__module__\", T_OBJECT, offsetof(PyCFunctionObject, m_module), PY_WRITE_RESTRICTED, 0},\n    {0, 0, 0,  0, 0}\n};\nstatic PyObject *\n__Pyx_CyFunction_reduce(__pyx_CyFunctionObject *m, CYTHON_UNUSED PyObject *args)\n{\n#if PY_MAJOR_VERSION >= 3\n    return PyUnicode_FromString(m->func.m_ml->ml_name);\n#else\n    return PyString_FromString(m->func.m_ml->ml_name);\n#endif\n}\nstatic PyMethodDef __pyx_CyFunction_methods[] = {\n    {\"__reduce__\", (PyCFunction)__Pyx_CyFunction_reduce, METH_VARARGS, 0},\n    {0, 0, 0, 0}\n};\n#if PY_VERSION_HEX < 0x030500A0\n#define __Pyx_CyFunction_weakreflist(cyfunc) ((cyfunc)->func_weakreflist)\n#else\n#define __Pyx_CyFunction_weakreflist(cyfunc) ((cyfunc)->func.m_weakreflist)\n#endif\nstatic PyObject *__Pyx_CyFunction_Init(__pyx_CyFunctionObject *op, PyMethodDef *ml, int flags, PyObject* qualname,\n                                       PyObject *closure, PyObject *module, PyObject* globals, PyObject* code) {\n    if (unlikely(op == NULL))\n        return NULL;\n    op->flags = flags;\n    __Pyx_CyFunction_weakreflist(op) = NULL;\n    op->func.m_ml = ml;\n    op->func.m_self = (PyObject *) op;\n    Py_XINCREF(closure);\n    op->func_closure = closure;\n    Py_XINCREF(module);\n    op->func.m_module = module;\n    op->func_dict = NULL;\n    op->func_name = NULL;\n    Py_INCREF(qualname);\n    op->func_qualname = qualname;\n    op->func_doc = NULL;\n    op->func_classobj = NULL;\n    op->func_globals = globals;\n    Py_INCREF(op->func_globals);\n    Py_XINCREF(code);\n    op->func_code = code;\n    op->defaults_pyobjects = 0;\n    op->defaults_size = 0;\n    op->defaults = NULL;\n    op->defaults_tuple = NULL;\n    op->defaults_kwdict = NULL;\n    op->defaults_getter = NULL;\n    op->func_annotations = NULL;\n    return (PyObject *) op;\n}\nstatic int\n__Pyx_CyFunction_clear(__pyx_CyFunctionObject *m)\n{\n    Py_CLEAR(m->func_closure);\n    Py_CLEAR(m->func.m_module);\n    Py_CLEAR(m->func_dict);\n    Py_CLEAR(m->func_name);\n    Py_CLEAR(m->func_qualname);\n    Py_CLEAR(m->func_doc);\n    Py_CLEAR(m->func_globals);\n    Py_CLEAR(m->func_code);\n    Py_CLEAR(m->func_classobj);\n    Py_CLEAR(m->defaults_tuple);\n    Py_CLEAR(m->defaults_kwdict);\n    Py_CLEAR(m->func_annotations);\n    if (m->defaults) {\n        PyObject **pydefaults = __Pyx_CyFunction_Defaults(PyObject *, m);\n        int i;\n        for (i = 0; i < m->defaults_pyobjects; i++)\n            Py_XDECREF(pydefaults[i]);\n        PyObject_Free(m->defaults);\n        m->defaults = NULL;\n    }\n    return 0;\n}\nstatic void __Pyx__CyFunction_dealloc(__pyx_CyFunctionObject *m)\n{\n    if (__Pyx_CyFunction_weakreflist(m) != NULL)\n        PyObject_ClearWeakRefs((PyObject *) m);\n    __Pyx_CyFunction_clear(m);\n    PyObject_GC_Del(m);\n}\nstatic void __Pyx_CyFunction_dealloc(__pyx_CyFunctionObject *m)\n{\n    PyObject_GC_UnTrack(m);\n    __Pyx__CyFunction_dealloc(m);\n}\nstatic int __Pyx_CyFunction_traverse(__pyx_CyFunctionObject *m, visitproc visit, void *arg)\n{\n    Py_VISIT(m->func_closure);\n    Py_VISIT(m->func.m_module);\n    Py_VISIT(m->func_dict);\n    Py_VISIT(m->func_name);\n    Py_VISIT(m->func_qualname);\n    Py_VISIT(m->func_doc);\n    Py_VISIT(m->func_globals);\n    Py_VISIT(m->func_code);\n    Py_VISIT(m->func_classobj);\n    Py_VISIT(m->defaults_tuple);\n    Py_VISIT(m->defaults_kwdict);\n    if (m->defaults) {\n        PyObject **pydefaults = __Pyx_CyFunction_Defaults(PyObject *, m);\n        int i;\n        for (i = 0; i < m->defaults_pyobjects; i++)\n            Py_VISIT(pydefaults[i]);\n    }\n    return 0;\n}\nstatic PyObject *__Pyx_CyFunction_descr_get(PyObject *func, PyObject *obj, PyObject *type)\n{\n#if PY_MAJOR_VERSION < 3\n    __pyx_CyFunctionObject *m = (__pyx_CyFunctionObject *) func;\n    if (m->flags & __Pyx_CYFUNCTION_STATICMETHOD) {\n        Py_INCREF(func);\n        return func;\n    }\n    if (m->flags & __Pyx_CYFUNCTION_CLASSMETHOD) {\n        if (type == NULL)\n            type = (PyObject *)(Py_TYPE(obj));\n        return __Pyx_PyMethod_New(func, type, (PyObject *)(Py_TYPE(type)));\n    }\n    if (obj == Py_None)\n        obj = NULL;\n#endif\n    return __Pyx_PyMethod_New(func, obj, type);\n}\nstatic PyObject*\n__Pyx_CyFunction_repr(__pyx_CyFunctionObject *op)\n{\n#if PY_MAJOR_VERSION >= 3\n    return PyUnicode_FromFormat(\"<cyfunction %U at %p>\",\n                                op->func_qualname, (void *)op);\n#else\n    return PyString_FromFormat(\"<cyfunction %s at %p>\",\n                               PyString_AsString(op->func_qualname), (void *)op);\n#endif\n}\nstatic PyObject * __Pyx_CyFunction_CallMethod(PyObject *func, PyObject *self, PyObject *arg, PyObject *kw) {\n    PyCFunctionObject* f = (PyCFunctionObject*)func;\n    PyCFunction meth = f->m_ml->ml_meth;\n    Py_ssize_t size;\n    switch (f->m_ml->ml_flags & (METH_VARARGS | METH_KEYWORDS | METH_NOARGS | METH_O)) {\n    case METH_VARARGS:\n        if (likely(kw == NULL || PyDict_Size(kw) == 0))\n            return (*meth)(self, arg);\n        break;\n    case METH_VARARGS | METH_KEYWORDS:\n        return (*(PyCFunctionWithKeywords)(void*)meth)(self, arg, kw);\n    case METH_NOARGS:\n        if (likely(kw == NULL || PyDict_Size(kw) == 0)) {\n            size = PyTuple_GET_SIZE(arg);\n            if (likely(size == 0))\n                return (*meth)(self, NULL);\n            PyErr_Format(PyExc_TypeError,\n                \"%.200s() takes no arguments (%\" CYTHON_FORMAT_SSIZE_T \"d given)\",\n                f->m_ml->ml_name, size);\n            return NULL;\n        }\n        break;\n    case METH_O:\n        if (likely(kw == NULL || PyDict_Size(kw) == 0)) {\n            size = PyTuple_GET_SIZE(arg);\n            if (likely(size == 1)) {\n                PyObject *result, *arg0;\n                #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS\n                arg0 = PyTuple_GET_ITEM(arg, 0);\n                #else\n                arg0 = PySequence_ITEM(arg, 0); if (unlikely(!arg0)) return NULL;\n                #endif\n                result = (*meth)(self, arg0);\n                #if !(CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS)\n                Py_DECREF(arg0);\n                #endif\n                return result;\n            }\n            PyErr_Format(PyExc_TypeError,\n                \"%.200s() takes exactly one argument (%\" CYTHON_FORMAT_SSIZE_T \"d given)\",\n                f->m_ml->ml_name, size);\n            return NULL;\n        }\n        break;\n    default:\n        PyErr_SetString(PyExc_SystemError, \"Bad call flags in \"\n                        \"__Pyx_CyFunction_Call. METH_OLDARGS is no \"\n                        \"longer supported!\");\n        return NULL;\n    }\n    PyErr_Format(PyExc_TypeError, \"%.200s() takes no keyword arguments\",\n                 f->m_ml->ml_name);\n    return NULL;\n}\nstatic CYTHON_INLINE PyObject *__Pyx_CyFunction_Call(PyObject *func, PyObject *arg, PyObject *kw) {\n    return __Pyx_CyFunction_CallMethod(func, ((PyCFunctionObject*)func)->m_self, arg, kw);\n}\nstatic PyObject *__Pyx_CyFunction_CallAsMethod(PyObject *func, PyObject *args, PyObject *kw) {\n    PyObject *result;\n    __pyx_CyFunctionObject *cyfunc = (__pyx_CyFunctionObject *) func;\n    if ((cyfunc->flags & __Pyx_CYFUNCTION_CCLASS) && !(cyfunc->flags & __Pyx_CYFUNCTION_STATICMETHOD)) {\n        Py_ssize_t argc;\n        PyObject *new_args;\n        PyObject *self;\n        argc = PyTuple_GET_SIZE(args);\n        new_args = PyTuple_GetSlice(args, 1, argc);\n        if (unlikely(!new_args))\n            return NULL;\n        self = PyTuple_GetItem(args, 0);\n        if (unlikely(!self)) {\n            Py_DECREF(new_args);\n            return NULL;\n        }\n        result = __Pyx_CyFunction_CallMethod(func, self, new_args, kw);\n        Py_DECREF(new_args);\n    } else {\n        result = __Pyx_CyFunction_Call(func, args, kw);\n    }\n    return result;\n}\nstatic PyTypeObject __pyx_CyFunctionType_type = {\n    PyVarObject_HEAD_INIT(0, 0)\n    \"cython_function_or_method\",\n    sizeof(__pyx_CyFunctionObject),\n    0,\n    (destructor) __Pyx_CyFunction_dealloc,\n    0,\n    0,\n    0,\n#if PY_MAJOR_VERSION < 3\n    0,\n#else\n    0,\n#endif\n    (reprfunc) __Pyx_CyFunction_repr,\n    0,\n    0,\n    0,\n    0,\n    __Pyx_CyFunction_CallAsMethod,\n    0,\n    0,\n    0,\n    0,\n    Py_TPFLAGS_DEFAULT | Py_TPFLAGS_HAVE_GC,\n    0,\n    (traverseproc) __Pyx_CyFunction_traverse,\n    (inquiry) __Pyx_CyFunction_clear,\n    0,\n#if PY_VERSION_HEX < 0x030500A0\n    offsetof(__pyx_CyFunctionObject, func_weakreflist),\n#else\n    offsetof(PyCFunctionObject, m_weakreflist),\n#endif\n    0,\n    0,\n    __pyx_CyFunction_methods,\n    __pyx_CyFunction_members,\n    __pyx_CyFunction_getsets,\n    0,\n    0,\n    __Pyx_CyFunction_descr_get,\n    0,\n    offsetof(__pyx_CyFunctionObject, func_dict),\n    0,\n    0,\n    0,\n    0,\n    0,\n    0,\n    0,\n    0,\n    0,\n    0,\n    0,\n    0,\n#if PY_VERSION_HEX >= 0x030400a1\n    0,\n#endif\n#if PY_VERSION_HEX >= 0x030800b1\n    0,\n#endif\n#if PY_VERSION_HEX >= 0x030800b4 && PY_VERSION_HEX < 0x03090000\n    0,\n#endif\n};\nstatic int __pyx_CyFunction_init(void) {\n    __pyx_CyFunctionType = __Pyx_FetchCommonType(&__pyx_CyFunctionType_type);\n    if (unlikely(__pyx_CyFunctionType == NULL)) {\n        return -1;\n    }\n    return 0;\n}\nstatic CYTHON_INLINE void *__Pyx_CyFunction_InitDefaults(PyObject *func, size_t size, int pyobjects) {\n    __pyx_CyFunctionObject *m = (__pyx_CyFunctionObject *) func;\n    m->defaults = PyObject_Malloc(size);\n    if (unlikely(!m->defaults))\n        return PyErr_NoMemory();\n    memset(m->defaults, 0, size);\n    m->defaults_pyobjects = pyobjects;\n    m->defaults_size = size;\n    return m->defaults;\n}\nstatic CYTHON_INLINE void __Pyx_CyFunction_SetDefaultsTuple(PyObject *func, PyObject *tuple) {\n    __pyx_CyFunctionObject *m = (__pyx_CyFunctionObject *) func;\n    m->defaults_tuple = tuple;\n    Py_INCREF(tuple);\n}\nstatic CYTHON_INLINE void __Pyx_CyFunction_SetDefaultsKwDict(PyObject *func, PyObject *dict) {\n    __pyx_CyFunctionObject *m = (__pyx_CyFunctionObject *) func;\n    m->defaults_kwdict = dict;\n    Py_INCREF(dict);\n}\nstatic CYTHON_INLINE void __Pyx_CyFunction_SetAnnotationsDict(PyObject *func, PyObject *dict) {\n    __pyx_CyFunctionObject *m = (__pyx_CyFunctionObject *) func;\n    m->func_annotations = dict;\n    Py_INCREF(dict);\n}\n\n/* FusedFunction */\n  static PyObject *\n__pyx_FusedFunction_New(PyMethodDef *ml, int flags,\n                        PyObject *qualname, PyObject *closure,\n                        PyObject *module, PyObject *globals,\n                        PyObject *code)\n{\n    PyObject *op = __Pyx_CyFunction_Init(\n        PyObject_GC_New(__pyx_CyFunctionObject, __pyx_FusedFunctionType),\n        ml, flags, qualname, closure, module, globals, code\n    );\n    if (likely(op)) {\n        __pyx_FusedFunctionObject *fusedfunc = (__pyx_FusedFunctionObject *) op;\n        fusedfunc->__signatures__ = NULL;\n        fusedfunc->type = NULL;\n        fusedfunc->self = NULL;\n        PyObject_GC_Track(op);\n    }\n    return op;\n}\nstatic void\n__pyx_FusedFunction_dealloc(__pyx_FusedFunctionObject *self)\n{\n    PyObject_GC_UnTrack(self);\n    Py_CLEAR(self->self);\n    Py_CLEAR(self->type);\n    Py_CLEAR(self->__signatures__);\n    __Pyx__CyFunction_dealloc((__pyx_CyFunctionObject *) self);\n}\nstatic int\n__pyx_FusedFunction_traverse(__pyx_FusedFunctionObject *self,\n                             visitproc visit,\n                             void *arg)\n{\n    Py_VISIT(self->self);\n    Py_VISIT(self->type);\n    Py_VISIT(self->__signatures__);\n    return __Pyx_CyFunction_traverse((__pyx_CyFunctionObject *) self, visit, arg);\n}\nstatic int\n__pyx_FusedFunction_clear(__pyx_FusedFunctionObject *self)\n{\n    Py_CLEAR(self->self);\n    Py_CLEAR(self->type);\n    Py_CLEAR(self->__signatures__);\n    return __Pyx_CyFunction_clear((__pyx_CyFunctionObject *) self);\n}\nstatic PyObject *\n__pyx_FusedFunction_descr_get(PyObject *self, PyObject *obj, PyObject *type)\n{\n    __pyx_FusedFunctionObject *func, *meth;\n    func = (__pyx_FusedFunctionObject *) self;\n    if (func->self || func->func.flags & __Pyx_CYFUNCTION_STATICMETHOD) {\n        Py_INCREF(self);\n        return self;\n    }\n    if (obj == Py_None)\n        obj = NULL;\n    meth = (__pyx_FusedFunctionObject *) __pyx_FusedFunction_New(\n                    ((PyCFunctionObject *) func)->m_ml,\n                    ((__pyx_CyFunctionObject *) func)->flags,\n                    ((__pyx_CyFunctionObject *) func)->func_qualname,\n                    ((__pyx_CyFunctionObject *) func)->func_closure,\n                    ((PyCFunctionObject *) func)->m_module,\n                    ((__pyx_CyFunctionObject *) func)->func_globals,\n                    ((__pyx_CyFunctionObject *) func)->func_code);\n    if (!meth)\n        return NULL;\n    if (func->func.defaults) {\n        PyObject **pydefaults;\n        int i;\n        if (!__Pyx_CyFunction_InitDefaults((PyObject*)meth,\n                                      func->func.defaults_size,\n                                      func->func.defaults_pyobjects)) {\n            Py_XDECREF((PyObject*)meth);\n            return NULL;\n        }\n        memcpy(meth->func.defaults, func->func.defaults, func->func.defaults_size);\n        pydefaults = __Pyx_CyFunction_Defaults(PyObject *, meth);\n        for (i = 0; i < meth->func.defaults_pyobjects; i++)\n            Py_XINCREF(pydefaults[i]);\n    }\n    Py_XINCREF(func->func.func_classobj);\n    meth->func.func_classobj = func->func.func_classobj;\n    Py_XINCREF(func->__signatures__);\n    meth->__signatures__ = func->__signatures__;\n    Py_XINCREF(type);\n    meth->type = type;\n    Py_XINCREF(func->func.defaults_tuple);\n    meth->func.defaults_tuple = func->func.defaults_tuple;\n    if (func->func.flags & __Pyx_CYFUNCTION_CLASSMETHOD)\n        obj = type;\n    Py_XINCREF(obj);\n    meth->self = obj;\n    return (PyObject *) meth;\n}\nstatic PyObject *\n_obj_to_str(PyObject *obj)\n{\n    if (PyType_Check(obj))\n        return PyObject_GetAttr(obj, __pyx_n_s_name_2);\n    else\n        return PyObject_Str(obj);\n}\nstatic PyObject *\n__pyx_FusedFunction_getitem(__pyx_FusedFunctionObject *self, PyObject *idx)\n{\n    PyObject *signature = NULL;\n    PyObject *unbound_result_func;\n    PyObject *result_func = NULL;\n    if (self->__signatures__ == NULL) {\n        PyErr_SetString(PyExc_TypeError, \"Function is not fused\");\n        return NULL;\n    }\n    if (PyTuple_Check(idx)) {\n        PyObject *list = PyList_New(0);\n        Py_ssize_t n = PyTuple_GET_SIZE(idx);\n        PyObject *sep = NULL;\n        int i;\n        if (unlikely(!list))\n            return NULL;\n        for (i = 0; i < n; i++) {\n            int ret;\n            PyObject *string;\n#if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS\n            PyObject *item = PyTuple_GET_ITEM(idx, i);\n#else\n            PyObject *item = PySequence_ITEM(idx, i);  if (unlikely(!item)) goto __pyx_err;\n#endif\n            string = _obj_to_str(item);\n#if !(CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS)\n            Py_DECREF(item);\n#endif\n            if (unlikely(!string)) goto __pyx_err;\n            ret = PyList_Append(list, string);\n            Py_DECREF(string);\n            if (unlikely(ret < 0)) goto __pyx_err;\n        }\n        sep = PyUnicode_FromString(\"|\");\n        if (likely(sep))\n            signature = PyUnicode_Join(sep, list);\n__pyx_err:\n;\n        Py_DECREF(list);\n        Py_XDECREF(sep);\n    } else {\n        signature = _obj_to_str(idx);\n    }\n    if (!signature)\n        return NULL;\n    unbound_result_func = PyObject_GetItem(self->__signatures__, signature);\n    if (unbound_result_func) {\n        if (self->self || self->type) {\n            __pyx_FusedFunctionObject *unbound = (__pyx_FusedFunctionObject *) unbound_result_func;\n            Py_CLEAR(unbound->func.func_classobj);\n            Py_XINCREF(self->func.func_classobj);\n            unbound->func.func_classobj = self->func.func_classobj;\n            result_func = __pyx_FusedFunction_descr_get(unbound_result_func,\n                                                        self->self, self->type);\n        } else {\n            result_func = unbound_result_func;\n            Py_INCREF(result_func);\n        }\n    }\n    Py_DECREF(signature);\n    Py_XDECREF(unbound_result_func);\n    return result_func;\n}\nstatic PyObject *\n__pyx_FusedFunction_callfunction(PyObject *func, PyObject *args, PyObject *kw)\n{\n     __pyx_CyFunctionObject *cyfunc = (__pyx_CyFunctionObject *) func;\n    int static_specialized = (cyfunc->flags & __Pyx_CYFUNCTION_STATICMETHOD &&\n                              !((__pyx_FusedFunctionObject *) func)->__signatures__);\n    if (cyfunc->flags & __Pyx_CYFUNCTION_CCLASS && !static_specialized) {\n        return __Pyx_CyFunction_CallAsMethod(func, args, kw);\n    } else {\n        return __Pyx_CyFunction_Call(func, args, kw);\n    }\n}\nstatic PyObject *\n__pyx_FusedFunction_call(PyObject *func, PyObject *args, PyObject *kw)\n{\n    __pyx_FusedFunctionObject *binding_func = (__pyx_FusedFunctionObject *) func;\n    Py_ssize_t argc = PyTuple_GET_SIZE(args);\n    PyObject *new_args = NULL;\n    __pyx_FusedFunctionObject *new_func = NULL;\n    PyObject *result = NULL;\n    PyObject *self = NULL;\n    int is_staticmethod = binding_func->func.flags & __Pyx_CYFUNCTION_STATICMETHOD;\n    int is_classmethod = binding_func->func.flags & __Pyx_CYFUNCTION_CLASSMETHOD;\n    if (binding_func->self) {\n        Py_ssize_t i;\n        new_args = PyTuple_New(argc + 1);\n        if (!new_args)\n            return NULL;\n        self = binding_func->self;\n#if !(CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS)\n        Py_INCREF(self);\n#endif\n        Py_INCREF(self);\n        PyTuple_SET_ITEM(new_args, 0, self);\n        for (i = 0; i < argc; i++) {\n#if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS\n            PyObject *item = PyTuple_GET_ITEM(args, i);\n            Py_INCREF(item);\n#else\n            PyObject *item = PySequence_ITEM(args, i);  if (unlikely(!item)) goto bad;\n#endif\n            PyTuple_SET_ITEM(new_args, i + 1, item);\n        }\n        args = new_args;\n    } else if (binding_func->type) {\n        if (argc < 1) {\n            PyErr_SetString(PyExc_TypeError, \"Need at least one argument, 0 given.\");\n            return NULL;\n        }\n#if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS\n        self = PyTuple_GET_ITEM(args, 0);\n#else\n        self = PySequence_ITEM(args, 0);  if (unlikely(!self)) return NULL;\n#endif\n    }\n    if (self && !is_classmethod && !is_staticmethod) {\n        int is_instance = PyObject_IsInstance(self, binding_func->type);\n        if (unlikely(!is_instance)) {\n            PyErr_Format(PyExc_TypeError,\n                         \"First argument should be of type %.200s, got %.200s.\",\n                         ((PyTypeObject *) binding_func->type)->tp_name,\n                         self->ob_type->tp_name);\n            goto bad;\n        } else if (unlikely(is_instance == -1)) {\n            goto bad;\n        }\n    }\n#if !(CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS)\n    Py_XDECREF(self);\n    self = NULL;\n#endif\n    if (binding_func->__signatures__) {\n        PyObject *tup;\n        if (is_staticmethod && binding_func->func.flags & __Pyx_CYFUNCTION_CCLASS) {\n            tup = PyTuple_Pack(3, args,\n                               kw == NULL ? Py_None : kw,\n                               binding_func->func.defaults_tuple);\n            if (unlikely(!tup)) goto bad;\n            new_func = (__pyx_FusedFunctionObject *) __Pyx_CyFunction_CallMethod(\n                func, binding_func->__signatures__, tup, NULL);\n        } else {\n            tup = PyTuple_Pack(4, binding_func->__signatures__, args,\n                               kw == NULL ? Py_None : kw,\n                               binding_func->func.defaults_tuple);\n            if (unlikely(!tup)) goto bad;\n            new_func = (__pyx_FusedFunctionObject *) __pyx_FusedFunction_callfunction(func, tup, NULL);\n        }\n        Py_DECREF(tup);\n        if (unlikely(!new_func))\n            goto bad;\n        Py_XINCREF(binding_func->func.func_classobj);\n        Py_CLEAR(new_func->func.func_classobj);\n        new_func->func.func_classobj = binding_func->func.func_classobj;\n        func = (PyObject *) new_func;\n    }\n    result = __pyx_FusedFunction_callfunction(func, args, kw);\nbad:\n#if !(CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS)\n    Py_XDECREF(self);\n#endif\n    Py_XDECREF(new_args);\n    Py_XDECREF((PyObject *) new_func);\n    return result;\n}\nstatic PyMemberDef __pyx_FusedFunction_members[] = {\n    {(char *) \"__signatures__\",\n     T_OBJECT,\n     offsetof(__pyx_FusedFunctionObject, __signatures__),\n     READONLY,\n     0},\n    {0, 0, 0, 0, 0},\n};\nstatic PyMappingMethods __pyx_FusedFunction_mapping_methods = {\n    0,\n    (binaryfunc) __pyx_FusedFunction_getitem,\n    0,\n};\nstatic PyTypeObject __pyx_FusedFunctionType_type = {\n    PyVarObject_HEAD_INIT(0, 0)\n    \"fused_cython_function\",\n    sizeof(__pyx_FusedFunctionObject),\n    0,\n    (destructor) __pyx_FusedFunction_dealloc,\n    0,\n    0,\n    0,\n#if PY_MAJOR_VERSION < 3\n    0,\n#else\n    0,\n#endif\n    0,\n    0,\n    0,\n    &__pyx_FusedFunction_mapping_methods,\n    0,\n    (ternaryfunc) __pyx_FusedFunction_call,\n    0,\n    0,\n    0,\n    0,\n    Py_TPFLAGS_DEFAULT | Py_TPFLAGS_HAVE_GC | Py_TPFLAGS_BASETYPE,\n    0,\n    (traverseproc) __pyx_FusedFunction_traverse,\n    (inquiry) __pyx_FusedFunction_clear,\n    0,\n    0,\n    0,\n    0,\n    0,\n    __pyx_FusedFunction_members,\n    __pyx_CyFunction_getsets,\n    &__pyx_CyFunctionType_type,\n    0,\n    __pyx_FusedFunction_descr_get,\n    0,\n    0,\n    0,\n    0,\n    0,\n    0,\n    0,\n    0,\n    0,\n    0,\n    0,\n    0,\n    0,\n    0,\n#if PY_VERSION_HEX >= 0x030400a1\n    0,\n#endif\n#if PY_VERSION_HEX >= 0x030800b1\n    0,\n#endif\n#if PY_VERSION_HEX >= 0x030800b4 && PY_VERSION_HEX < 0x03090000\n    0,\n#endif\n};\nstatic int __pyx_FusedFunction_init(void) {\n    __pyx_FusedFunctionType_type.tp_base = __pyx_CyFunctionType;\n    __pyx_FusedFunctionType = __Pyx_FetchCommonType(&__pyx_FusedFunctionType_type);\n    if (__pyx_FusedFunctionType == NULL) {\n        return -1;\n    }\n    return 0;\n}\n\n/* CLineInTraceback */\n  #ifndef CYTHON_CLINE_IN_TRACEBACK\nstatic int __Pyx_CLineForTraceback(CYTHON_NCP_UNUSED PyThreadState *tstate, int c_line) {\n    PyObject *use_cline;\n    PyObject *ptype, *pvalue, *ptraceback;\n#if CYTHON_COMPILING_IN_CPYTHON\n    PyObject **cython_runtime_dict;\n#endif\n    if (unlikely(!__pyx_cython_runtime)) {\n        return c_line;\n    }\n    __Pyx_ErrFetchInState(tstate, &ptype, &pvalue, &ptraceback);\n#if CYTHON_COMPILING_IN_CPYTHON\n    cython_runtime_dict = _PyObject_GetDictPtr(__pyx_cython_runtime);\n    if (likely(cython_runtime_dict)) {\n        __PYX_PY_DICT_LOOKUP_IF_MODIFIED(\n            use_cline, *cython_runtime_dict,\n            __Pyx_PyDict_GetItemStr(*cython_runtime_dict, __pyx_n_s_cline_in_traceback))\n    } else\n#endif\n    {\n      PyObject *use_cline_obj = __Pyx_PyObject_GetAttrStr(__pyx_cython_runtime, __pyx_n_s_cline_in_traceback);\n      if (use_cline_obj) {\n        use_cline = PyObject_Not(use_cline_obj) ? Py_False : Py_True;\n        Py_DECREF(use_cline_obj);\n      } else {\n        PyErr_Clear();\n        use_cline = NULL;\n      }\n    }\n    if (!use_cline) {\n        c_line = 0;\n        PyObject_SetAttr(__pyx_cython_runtime, __pyx_n_s_cline_in_traceback, Py_False);\n    }\n    else if (use_cline == Py_False || (use_cline != Py_True && PyObject_Not(use_cline) != 0)) {\n        c_line = 0;\n    }\n    __Pyx_ErrRestoreInState(tstate, ptype, pvalue, ptraceback);\n    return c_line;\n}\n#endif\n\n/* CodeObjectCache */\n  static int __pyx_bisect_code_objects(__Pyx_CodeObjectCacheEntry* entries, int count, int code_line) {\n    int start = 0, mid = 0, end = count - 1;\n    if (end >= 0 && code_line > entries[end].code_line) {\n        return count;\n    }\n    while (start < end) {\n        mid = start + (end - start) / 2;\n        if (code_line < entries[mid].code_line) {\n            end = mid;\n        } else if (code_line > entries[mid].code_line) {\n             start = mid + 1;\n        } else {\n            return mid;\n        }\n    }\n    if (code_line <= entries[mid].code_line) {\n        return mid;\n    } else {\n        return mid + 1;\n    }\n}\nstatic PyCodeObject *__pyx_find_code_object(int code_line) {\n    PyCodeObject* code_object;\n    int pos;\n    if (unlikely(!code_line) || unlikely(!__pyx_code_cache.entries)) {\n        return NULL;\n    }\n    pos = __pyx_bisect_code_objects(__pyx_code_cache.entries, __pyx_code_cache.count, code_line);\n    if (unlikely(pos >= __pyx_code_cache.count) || unlikely(__pyx_code_cache.entries[pos].code_line != code_line)) {\n        return NULL;\n    }\n    code_object = __pyx_code_cache.entries[pos].code_object;\n    Py_INCREF(code_object);\n    return code_object;\n}\nstatic void __pyx_insert_code_object(int code_line, PyCodeObject* code_object) {\n    int pos, i;\n    __Pyx_CodeObjectCacheEntry* entries = __pyx_code_cache.entries;\n    if (unlikely(!code_line)) {\n        return;\n    }\n    if (unlikely(!entries)) {\n        entries = (__Pyx_CodeObjectCacheEntry*)PyMem_Malloc(64*sizeof(__Pyx_CodeObjectCacheEntry));\n        if (likely(entries)) {\n            __pyx_code_cache.entries = entries;\n            __pyx_code_cache.max_count = 64;\n            __pyx_code_cache.count = 1;\n            entries[0].code_line = code_line;\n            entries[0].code_object = code_object;\n            Py_INCREF(code_object);\n        }\n        return;\n    }\n    pos = __pyx_bisect_code_objects(__pyx_code_cache.entries, __pyx_code_cache.count, code_line);\n    if ((pos < __pyx_code_cache.count) && unlikely(__pyx_code_cache.entries[pos].code_line == code_line)) {\n        PyCodeObject* tmp = entries[pos].code_object;\n        entries[pos].code_object = code_object;\n        Py_DECREF(tmp);\n        return;\n    }\n    if (__pyx_code_cache.count == __pyx_code_cache.max_count) {\n        int new_max = __pyx_code_cache.max_count + 64;\n        entries = (__Pyx_CodeObjectCacheEntry*)PyMem_Realloc(\n            __pyx_code_cache.entries, ((size_t)new_max) * sizeof(__Pyx_CodeObjectCacheEntry));\n        if (unlikely(!entries)) {\n            return;\n        }\n        __pyx_code_cache.entries = entries;\n        __pyx_code_cache.max_count = new_max;\n    }\n    for (i=__pyx_code_cache.count; i>pos; i--) {\n        entries[i] = entries[i-1];\n    }\n    entries[pos].code_line = code_line;\n    entries[pos].code_object = code_object;\n    __pyx_code_cache.count++;\n    Py_INCREF(code_object);\n}\n\n/* AddTraceback */\n  #include \"compile.h\"\n#include \"frameobject.h\"\n#include \"traceback.h\"\nstatic PyCodeObject* __Pyx_CreateCodeObjectForTraceback(\n            const char *funcname, int c_line,\n            int py_line, const char *filename) {\n    PyCodeObject *py_code = 0;\n    PyObject *py_srcfile = 0;\n    PyObject *py_funcname = 0;\n    #if PY_MAJOR_VERSION < 3\n    py_srcfile = PyString_FromString(filename);\n    #else\n    py_srcfile = PyUnicode_FromString(filename);\n    #endif\n    if (!py_srcfile) goto bad;\n    if (c_line) {\n        #if PY_MAJOR_VERSION < 3\n        py_funcname = PyString_FromFormat( \"%s (%s:%d)\", funcname, __pyx_cfilenm, c_line);\n        #else\n        py_funcname = PyUnicode_FromFormat( \"%s (%s:%d)\", funcname, __pyx_cfilenm, c_line);\n        #endif\n    }\n    else {\n        #if PY_MAJOR_VERSION < 3\n        py_funcname = PyString_FromString(funcname);\n        #else\n        py_funcname = PyUnicode_FromString(funcname);\n        #endif\n    }\n    if (!py_funcname) goto bad;\n    py_code = __Pyx_PyCode_New(\n        0,\n        0,\n        0,\n        0,\n        0,\n        __pyx_empty_bytes, /*PyObject *code,*/\n        __pyx_empty_tuple, /*PyObject *consts,*/\n        __pyx_empty_tuple, /*PyObject *names,*/\n        __pyx_empty_tuple, /*PyObject *varnames,*/\n        __pyx_empty_tuple, /*PyObject *freevars,*/\n        __pyx_empty_tuple, /*PyObject *cellvars,*/\n        py_srcfile,   /*PyObject *filename,*/\n        py_funcname,  /*PyObject *name,*/\n        py_line,\n        __pyx_empty_bytes  /*PyObject *lnotab*/\n    );\n    Py_DECREF(py_srcfile);\n    Py_DECREF(py_funcname);\n    return py_code;\nbad:\n    Py_XDECREF(py_srcfile);\n    Py_XDECREF(py_funcname);\n    return NULL;\n}\nstatic void __Pyx_AddTraceback(const char *funcname, int c_line,\n                               int py_line, const char *filename) {\n    PyCodeObject *py_code = 0;\n    PyFrameObject *py_frame = 0;\n    PyThreadState *tstate = __Pyx_PyThreadState_Current;\n    if (c_line) {\n        c_line = __Pyx_CLineForTraceback(tstate, c_line);\n    }\n    py_code = __pyx_find_code_object(c_line ? -c_line : py_line);\n    if (!py_code) {\n        py_code = __Pyx_CreateCodeObjectForTraceback(\n            funcname, c_line, py_line, filename);\n        if (!py_code) goto bad;\n        __pyx_insert_code_object(c_line ? -c_line : py_line, py_code);\n    }\n    py_frame = PyFrame_New(\n        tstate,            /*PyThreadState *tstate,*/\n        py_code,           /*PyCodeObject *code,*/\n        __pyx_d,    /*PyObject *globals,*/\n        0                  /*PyObject *locals*/\n    );\n    if (!py_frame) goto bad;\n    __Pyx_PyFrame_SetLineNumber(py_frame, py_line);\n    PyTraceBack_Here(py_frame);\nbad:\n    Py_XDECREF(py_code);\n    Py_XDECREF(py_frame);\n}\n\n#if PY_MAJOR_VERSION < 3\nstatic int __Pyx_GetBuffer(PyObject *obj, Py_buffer *view, int flags) {\n    if (PyObject_CheckBuffer(obj)) return PyObject_GetBuffer(obj, view, flags);\n        if (__Pyx_TypeCheck(obj, __pyx_array_type)) return __pyx_array_getbuffer(obj, view, flags);\n        if (__Pyx_TypeCheck(obj, __pyx_memoryview_type)) return __pyx_memoryview_getbuffer(obj, view, flags);\n    PyErr_Format(PyExc_TypeError, \"'%.200s' does not have the buffer interface\", Py_TYPE(obj)->tp_name);\n    return -1;\n}\nstatic void __Pyx_ReleaseBuffer(Py_buffer *view) {\n    PyObject *obj = view->obj;\n    if (!obj) return;\n    if (PyObject_CheckBuffer(obj)) {\n        PyBuffer_Release(view);\n        return;\n    }\n    if ((0)) {}\n    view->obj = NULL;\n    Py_DECREF(obj);\n}\n#endif\n\n\n  /* MemviewSliceIsContig */\n  static int\n__pyx_memviewslice_is_contig(const __Pyx_memviewslice mvs, char order, int ndim)\n{\n    int i, index, step, start;\n    Py_ssize_t itemsize = mvs.memview->view.itemsize;\n    if (order == 'F') {\n        step = 1;\n        start = 0;\n    } else {\n        step = -1;\n        start = ndim - 1;\n    }\n    for (i = 0; i < ndim; i++) {\n        index = start + step * i;\n        if (mvs.suboffsets[index] >= 0 || mvs.strides[index] != itemsize)\n            return 0;\n        itemsize *= mvs.shape[index];\n    }\n    return 1;\n}\n\n/* OverlappingSlices */\n  static void\n__pyx_get_array_memory_extents(__Pyx_memviewslice *slice,\n                               void **out_start, void **out_end,\n                               int ndim, size_t itemsize)\n{\n    char *start, *end;\n    int i;\n    start = end = slice->data;\n    for (i = 0; i < ndim; i++) {\n        Py_ssize_t stride = slice->strides[i];\n        Py_ssize_t extent = slice->shape[i];\n        if (extent == 0) {\n            *out_start = *out_end = start;\n            return;\n        } else {\n            if (stride > 0)\n                end += stride * (extent - 1);\n            else\n                start += stride * (extent - 1);\n        }\n    }\n    *out_start = start;\n    *out_end = end + itemsize;\n}\nstatic int\n__pyx_slices_overlap(__Pyx_memviewslice *slice1,\n                     __Pyx_memviewslice *slice2,\n                     int ndim, size_t itemsize)\n{\n    void *start1, *end1, *start2, *end2;\n    __pyx_get_array_memory_extents(slice1, &start1, &end1, ndim, itemsize);\n    __pyx_get_array_memory_extents(slice2, &start2, &end2, ndim, itemsize);\n    return (start1 < end2) && (start2 < end1);\n}\n\n/* Capsule */\n  static CYTHON_INLINE PyObject *\n__pyx_capsule_create(void *p, CYTHON_UNUSED const char *sig)\n{\n    PyObject *cobj;\n#if PY_VERSION_HEX >= 0x02070000\n    cobj = PyCapsule_New(p, sig, NULL);\n#else\n    cobj = PyCObject_FromVoidPtr(p, NULL);\n#endif\n    return cobj;\n}\n\n/* TypeInfoCompare */\n  static int\n__pyx_typeinfo_cmp(__Pyx_TypeInfo *a, __Pyx_TypeInfo *b)\n{\n    int i;\n    if (!a || !b)\n        return 0;\n    if (a == b)\n        return 1;\n    if (a->size != b->size || a->typegroup != b->typegroup ||\n            a->is_unsigned != b->is_unsigned || a->ndim != b->ndim) {\n        if (a->typegroup == 'H' || b->typegroup == 'H') {\n            return a->size == b->size;\n        } else {\n            return 0;\n        }\n    }\n    if (a->ndim) {\n        for (i = 0; i < a->ndim; i++)\n            if (a->arraysize[i] != b->arraysize[i])\n                return 0;\n    }\n    if (a->typegroup == 'S') {\n        if (a->flags != b->flags)\n            return 0;\n        if (a->fields || b->fields) {\n            if (!(a->fields && b->fields))\n                return 0;\n            for (i = 0; a->fields[i].type && b->fields[i].type; i++) {\n                __Pyx_StructField *field_a = a->fields + i;\n                __Pyx_StructField *field_b = b->fields + i;\n                if (field_a->offset != field_b->offset ||\n                    !__pyx_typeinfo_cmp(field_a->type, field_b->type))\n                    return 0;\n            }\n            return !a->fields[i].type && !b->fields[i].type;\n        }\n    }\n    return 1;\n}\n\n/* MemviewSliceValidateAndInit */\n  static int\n__pyx_check_strides(Py_buffer *buf, int dim, int ndim, int spec)\n{\n    if (buf->shape[dim] <= 1)\n        return 1;\n    if (buf->strides) {\n        if (spec & __Pyx_MEMVIEW_CONTIG) {\n            if (spec & (__Pyx_MEMVIEW_PTR|__Pyx_MEMVIEW_FULL)) {\n                if (unlikely(buf->strides[dim] != sizeof(void *))) {\n                    PyErr_Format(PyExc_ValueError,\n                                 \"Buffer is not indirectly contiguous \"\n                                 \"in dimension %d.\", dim);\n                    goto fail;\n                }\n            } else if (unlikely(buf->strides[dim] != buf->itemsize)) {\n                PyErr_SetString(PyExc_ValueError,\n                                \"Buffer and memoryview are not contiguous \"\n                                \"in the same dimension.\");\n                goto fail;\n            }\n        }\n        if (spec & __Pyx_MEMVIEW_FOLLOW) {\n            Py_ssize_t stride = buf->strides[dim];\n            if (stride < 0)\n                stride = -stride;\n            if (unlikely(stride < buf->itemsize)) {\n                PyErr_SetString(PyExc_ValueError,\n                                \"Buffer and memoryview are not contiguous \"\n                                \"in the same dimension.\");\n                goto fail;\n            }\n        }\n    } else {\n        if (unlikely(spec & __Pyx_MEMVIEW_CONTIG && dim != ndim - 1)) {\n            PyErr_Format(PyExc_ValueError,\n                         \"C-contiguous buffer is not contiguous in \"\n                         \"dimension %d\", dim);\n            goto fail;\n        } else if (unlikely(spec & (__Pyx_MEMVIEW_PTR))) {\n            PyErr_Format(PyExc_ValueError,\n                         \"C-contiguous buffer is not indirect in \"\n                         \"dimension %d\", dim);\n            goto fail;\n        } else if (unlikely(buf->suboffsets)) {\n            PyErr_SetString(PyExc_ValueError,\n                            \"Buffer exposes suboffsets but no strides\");\n            goto fail;\n        }\n    }\n    return 1;\nfail:\n    return 0;\n}\nstatic int\n__pyx_check_suboffsets(Py_buffer *buf, int dim, CYTHON_UNUSED int ndim, int spec)\n{\n    if (spec & __Pyx_MEMVIEW_DIRECT) {\n        if (unlikely(buf->suboffsets && buf->suboffsets[dim] >= 0)) {\n            PyErr_Format(PyExc_ValueError,\n                         \"Buffer not compatible with direct access \"\n                         \"in dimension %d.\", dim);\n            goto fail;\n        }\n    }\n    if (spec & __Pyx_MEMVIEW_PTR) {\n        if (unlikely(!buf->suboffsets || (buf->suboffsets[dim] < 0))) {\n            PyErr_Format(PyExc_ValueError,\n                         \"Buffer is not indirectly accessible \"\n                         \"in dimension %d.\", dim);\n            goto fail;\n        }\n    }\n    return 1;\nfail:\n    return 0;\n}\nstatic int\n__pyx_verify_contig(Py_buffer *buf, int ndim, int c_or_f_flag)\n{\n    int i;\n    if (c_or_f_flag & __Pyx_IS_F_CONTIG) {\n        Py_ssize_t stride = 1;\n        for (i = 0; i < ndim; i++) {\n            if (unlikely(stride * buf->itemsize != buf->strides[i]  &&  buf->shape[i] > 1)) {\n                PyErr_SetString(PyExc_ValueError,\n                    \"Buffer not fortran contiguous.\");\n                goto fail;\n            }\n            stride = stride * buf->shape[i];\n        }\n    } else if (c_or_f_flag & __Pyx_IS_C_CONTIG) {\n        Py_ssize_t stride = 1;\n        for (i = ndim - 1; i >- 1; i--) {\n            if (unlikely(stride * buf->itemsize != buf->strides[i]  &&  buf->shape[i] > 1)) {\n                PyErr_SetString(PyExc_ValueError,\n                    \"Buffer not C contiguous.\");\n                goto fail;\n            }\n            stride = stride * buf->shape[i];\n        }\n    }\n    return 1;\nfail:\n    return 0;\n}\nstatic int __Pyx_ValidateAndInit_memviewslice(\n                int *axes_specs,\n                int c_or_f_flag,\n                int buf_flags,\n                int ndim,\n                __Pyx_TypeInfo *dtype,\n                __Pyx_BufFmt_StackElem stack[],\n                __Pyx_memviewslice *memviewslice,\n                PyObject *original_obj)\n{\n    struct __pyx_memoryview_obj *memview, *new_memview;\n    __Pyx_RefNannyDeclarations\n    Py_buffer *buf;\n    int i, spec = 0, retval = -1;\n    __Pyx_BufFmt_Context ctx;\n    int from_memoryview = __pyx_memoryview_check(original_obj);\n    __Pyx_RefNannySetupContext(\"ValidateAndInit_memviewslice\", 0);\n    if (from_memoryview && __pyx_typeinfo_cmp(dtype, ((struct __pyx_memoryview_obj *)\n                                                            original_obj)->typeinfo)) {\n        memview = (struct __pyx_memoryview_obj *) original_obj;\n        new_memview = NULL;\n    } else {\n        memview = (struct __pyx_memoryview_obj *) __pyx_memoryview_new(\n                                            original_obj, buf_flags, 0, dtype);\n        new_memview = memview;\n        if (unlikely(!memview))\n            goto fail;\n    }\n    buf = &memview->view;\n    if (unlikely(buf->ndim != ndim)) {\n        PyErr_Format(PyExc_ValueError,\n                \"Buffer has wrong number of dimensions (expected %d, got %d)\",\n                ndim, buf->ndim);\n        goto fail;\n    }\n    if (new_memview) {\n        __Pyx_BufFmt_Init(&ctx, stack, dtype);\n        if (unlikely(!__Pyx_BufFmt_CheckString(&ctx, buf->format))) goto fail;\n    }\n    if (unlikely((unsigned) buf->itemsize != dtype->size)) {\n        PyErr_Format(PyExc_ValueError,\n                     \"Item size of buffer (%\" CYTHON_FORMAT_SSIZE_T \"u byte%s) \"\n                     \"does not match size of '%s' (%\" CYTHON_FORMAT_SSIZE_T \"u byte%s)\",\n                     buf->itemsize,\n                     (buf->itemsize > 1) ? \"s\" : \"\",\n                     dtype->name,\n                     dtype->size,\n                     (dtype->size > 1) ? \"s\" : \"\");\n        goto fail;\n    }\n    if (buf->len > 0) {\n        for (i = 0; i < ndim; i++) {\n            spec = axes_specs[i];\n            if (unlikely(!__pyx_check_strides(buf, i, ndim, spec)))\n                goto fail;\n            if (unlikely(!__pyx_check_suboffsets(buf, i, ndim, spec)))\n                goto fail;\n        }\n        if (unlikely(buf->strides && !__pyx_verify_contig(buf, ndim, c_or_f_flag)))\n            goto fail;\n    }\n    if (unlikely(__Pyx_init_memviewslice(memview, ndim, memviewslice,\n                                         new_memview != NULL) == -1)) {\n        goto fail;\n    }\n    retval = 0;\n    goto no_fail;\nfail:\n    Py_XDECREF(new_memview);\n    retval = -1;\nno_fail:\n    __Pyx_RefNannyFinishContext();\n    return retval;\n}\n\n/* ObjectToMemviewSlice */\n  static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dsdsdsds_nn___pyx_t_5numpy_float32_t(PyObject *obj, int writable_flag) {\n    __Pyx_memviewslice result = { 0, 0, { 0 }, { 0 }, { 0 } };\n    __Pyx_BufFmt_StackElem stack[1];\n    int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_STRIDED), (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_STRIDED), (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_STRIDED), (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_STRIDED) };\n    int retcode;\n    if (obj == Py_None) {\n        result.memview = (struct __pyx_memoryview_obj *) Py_None;\n        return result;\n    }\n    retcode = __Pyx_ValidateAndInit_memviewslice(axes_specs, 0,\n                                                 PyBUF_RECORDS_RO | writable_flag, 4,\n                                                 &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, stack,\n                                                 &result, obj);\n    if (unlikely(retcode == -1))\n        goto __pyx_fail;\n    return result;\n__pyx_fail:\n    result.memview = NULL;\n    result.data = NULL;\n    return result;\n}\n\n/* ObjectToMemviewSlice */\n  static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dsdsdsds_nn___pyx_t_5numpy_float64_t(PyObject *obj, int writable_flag) {\n    __Pyx_memviewslice result = { 0, 0, { 0 }, { 0 }, { 0 } };\n    __Pyx_BufFmt_StackElem stack[1];\n    int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_STRIDED), (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_STRIDED), (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_STRIDED), (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_STRIDED) };\n    int retcode;\n    if (obj == Py_None) {\n        result.memview = (struct __pyx_memoryview_obj *) Py_None;\n        return result;\n    }\n    retcode = __Pyx_ValidateAndInit_memviewslice(axes_specs, 0,\n                                                 PyBUF_RECORDS_RO | writable_flag, 4,\n                                                 &__Pyx_TypeInfo_nn___pyx_t_5numpy_float64_t, stack,\n                                                 &result, obj);\n    if (unlikely(retcode == -1))\n        goto __pyx_fail;\n    return result;\n__pyx_fail:\n    result.memview = NULL;\n    result.data = NULL;\n    return result;\n}\n\n/* ObjectToMemviewSlice */\n  static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dsds_nn___pyx_t_5numpy_float32_t(PyObject *obj, int writable_flag) {\n    __Pyx_memviewslice result = { 0, 0, { 0 }, { 0 }, { 0 } };\n    __Pyx_BufFmt_StackElem stack[1];\n    int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_STRIDED), (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_STRIDED) };\n    int retcode;\n    if (obj == Py_None) {\n        result.memview = (struct __pyx_memoryview_obj *) Py_None;\n        return result;\n    }\n    retcode = __Pyx_ValidateAndInit_memviewslice(axes_specs, 0,\n                                                 PyBUF_RECORDS_RO | writable_flag, 2,\n                                                 &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, stack,\n                                                 &result, obj);\n    if (unlikely(retcode == -1))\n        goto __pyx_fail;\n    return result;\n__pyx_fail:\n    result.memview = NULL;\n    result.data = NULL;\n    return result;\n}\n\n/* ObjectToMemviewSlice */\n  static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dsds_nn___pyx_t_5numpy_float64_t(PyObject *obj, int writable_flag) {\n    __Pyx_memviewslice result = { 0, 0, { 0 }, { 0 }, { 0 } };\n    __Pyx_BufFmt_StackElem stack[1];\n    int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_STRIDED), (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_STRIDED) };\n    int retcode;\n    if (obj == Py_None) {\n        result.memview = (struct __pyx_memoryview_obj *) Py_None;\n        return result;\n    }\n    retcode = __Pyx_ValidateAndInit_memviewslice(axes_specs, 0,\n                                                 PyBUF_RECORDS_RO | writable_flag, 2,\n                                                 &__Pyx_TypeInfo_nn___pyx_t_5numpy_float64_t, stack,\n                                                 &result, obj);\n    if (unlikely(retcode == -1))\n        goto __pyx_fail;\n    return result;\n__pyx_fail:\n    result.memview = NULL;\n    result.data = NULL;\n    return result;\n}\n\n/* ObjectToMemviewSlice */\n  static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dsdsdsdsdsds_nn___pyx_t_5numpy_float32_t(PyObject *obj, int writable_flag) {\n    __Pyx_memviewslice result = { 0, 0, { 0 }, { 0 }, { 0 } };\n    __Pyx_BufFmt_StackElem stack[1];\n    int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_STRIDED), (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_STRIDED), (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_STRIDED), (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_STRIDED), (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_STRIDED), (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_STRIDED) };\n    int retcode;\n    if (obj == Py_None) {\n        result.memview = (struct __pyx_memoryview_obj *) Py_None;\n        return result;\n    }\n    retcode = __Pyx_ValidateAndInit_memviewslice(axes_specs, 0,\n                                                 PyBUF_RECORDS_RO | writable_flag, 6,\n                                                 &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, stack,\n                                                 &result, obj);\n    if (unlikely(retcode == -1))\n        goto __pyx_fail;\n    return result;\n__pyx_fail:\n    result.memview = NULL;\n    result.data = NULL;\n    return result;\n}\n\n/* ObjectToMemviewSlice */\n  static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dsdsdsdsdsds_nn___pyx_t_5numpy_float64_t(PyObject *obj, int writable_flag) {\n    __Pyx_memviewslice result = { 0, 0, { 0 }, { 0 }, { 0 } };\n    __Pyx_BufFmt_StackElem stack[1];\n    int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_STRIDED), (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_STRIDED), (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_STRIDED), (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_STRIDED), (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_STRIDED), (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_STRIDED) };\n    int retcode;\n    if (obj == Py_None) {\n        result.memview = (struct __pyx_memoryview_obj *) Py_None;\n        return result;\n    }\n    retcode = __Pyx_ValidateAndInit_memviewslice(axes_specs, 0,\n                                                 PyBUF_RECORDS_RO | writable_flag, 6,\n                                                 &__Pyx_TypeInfo_nn___pyx_t_5numpy_float64_t, stack,\n                                                 &result, obj);\n    if (unlikely(retcode == -1))\n        goto __pyx_fail;\n    return result;\n__pyx_fail:\n    result.memview = NULL;\n    result.data = NULL;\n    return result;\n}\n\n/* CIntFromPyVerify */\n  #define __PYX_VERIFY_RETURN_INT(target_type, func_type, func_value)\\\n    __PYX__VERIFY_RETURN_INT(target_type, func_type, func_value, 0)\n#define __PYX_VERIFY_RETURN_INT_EXC(target_type, func_type, func_value)\\\n    __PYX__VERIFY_RETURN_INT(target_type, func_type, func_value, 1)\n#define __PYX__VERIFY_RETURN_INT(target_type, func_type, func_value, exc)\\\n    {\\\n        func_type value = func_value;\\\n        if (sizeof(target_type) < sizeof(func_type)) {\\\n            if (unlikely(value != (func_type) (target_type) value)) {\\\n                func_type zero = 0;\\\n                if (exc && unlikely(value == (func_type)-1 && PyErr_Occurred()))\\\n                    return (target_type) -1;\\\n                if (is_unsigned && unlikely(value < zero))\\\n                    goto raise_neg_overflow;\\\n                else\\\n                    goto raise_overflow;\\\n            }\\\n        }\\\n        return (target_type) value;\\\n    }\n\n/* CIntToPy */\n  static CYTHON_INLINE PyObject* __Pyx_PyInt_From_long(long value) {\n    const long neg_one = (long) ((long) 0 - (long) 1), const_zero = (long) 0;\n    const int is_unsigned = neg_one > const_zero;\n    if (is_unsigned) {\n        if (sizeof(long) < sizeof(long)) {\n            return PyInt_FromLong((long) value);\n        } else if (sizeof(long) <= sizeof(unsigned long)) {\n            return PyLong_FromUnsignedLong((unsigned long) value);\n#ifdef HAVE_LONG_LONG\n        } else if (sizeof(long) <= sizeof(unsigned PY_LONG_LONG)) {\n            return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value);\n#endif\n        }\n    } else {\n        if (sizeof(long) <= sizeof(long)) {\n            return PyInt_FromLong((long) value);\n#ifdef HAVE_LONG_LONG\n        } else if (sizeof(long) <= sizeof(PY_LONG_LONG)) {\n            return PyLong_FromLongLong((PY_LONG_LONG) value);\n#endif\n        }\n    }\n    {\n        int one = 1; int little = (int)*(unsigned char *)&one;\n        unsigned char *bytes = (unsigned char *)&value;\n        return _PyLong_FromByteArray(bytes, sizeof(long),\n                                     little, !is_unsigned);\n    }\n}\n\n/* CIntToPy */\n  static CYTHON_INLINE PyObject* __Pyx_PyInt_From_int(int value) {\n    const int neg_one = (int) ((int) 0 - (int) 1), const_zero = (int) 0;\n    const int is_unsigned = neg_one > const_zero;\n    if (is_unsigned) {\n        if (sizeof(int) < sizeof(long)) {\n            return PyInt_FromLong((long) value);\n        } else if (sizeof(int) <= sizeof(unsigned long)) {\n            return PyLong_FromUnsignedLong((unsigned long) value);\n#ifdef HAVE_LONG_LONG\n        } else if (sizeof(int) <= sizeof(unsigned PY_LONG_LONG)) {\n            return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value);\n#endif\n        }\n    } else {\n        if (sizeof(int) <= sizeof(long)) {\n            return PyInt_FromLong((long) value);\n#ifdef HAVE_LONG_LONG\n        } else if (sizeof(int) <= sizeof(PY_LONG_LONG)) {\n            return PyLong_FromLongLong((PY_LONG_LONG) value);\n#endif\n        }\n    }\n    {\n        int one = 1; int little = (int)*(unsigned char *)&one;\n        unsigned char *bytes = (unsigned char *)&value;\n        return _PyLong_FromByteArray(bytes, sizeof(int),\n                                     little, !is_unsigned);\n    }\n}\n\n/* Declarations */\n  #if CYTHON_CCOMPLEX\n  #ifdef __cplusplus\n    static CYTHON_INLINE __pyx_t_float_complex __pyx_t_float_complex_from_parts(float x, float y) {\n      return ::std::complex< float >(x, y);\n    }\n  #else\n    static CYTHON_INLINE __pyx_t_float_complex __pyx_t_float_complex_from_parts(float x, float y) {\n      return x + y*(__pyx_t_float_complex)_Complex_I;\n    }\n  #endif\n#else\n    static CYTHON_INLINE __pyx_t_float_complex __pyx_t_float_complex_from_parts(float x, float y) {\n      __pyx_t_float_complex z;\n      z.real = x;\n      z.imag = y;\n      return z;\n    }\n#endif\n\n/* Arithmetic */\n  #if CYTHON_CCOMPLEX\n#else\n    static CYTHON_INLINE int __Pyx_c_eq_float(__pyx_t_float_complex a, __pyx_t_float_complex b) {\n       return (a.real == b.real) && (a.imag == b.imag);\n    }\n    static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_sum_float(__pyx_t_float_complex a, __pyx_t_float_complex b) {\n        __pyx_t_float_complex z;\n        z.real = a.real + b.real;\n        z.imag = a.imag + b.imag;\n        return z;\n    }\n    static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_diff_float(__pyx_t_float_complex a, __pyx_t_float_complex b) {\n        __pyx_t_float_complex z;\n        z.real = a.real - b.real;\n        z.imag = a.imag - b.imag;\n        return z;\n    }\n    static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_prod_float(__pyx_t_float_complex a, __pyx_t_float_complex b) {\n        __pyx_t_float_complex z;\n        z.real = a.real * b.real - a.imag * b.imag;\n        z.imag = a.real * b.imag + a.imag * b.real;\n        return z;\n    }\n    #if 1\n    static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_quot_float(__pyx_t_float_complex a, __pyx_t_float_complex b) {\n        if (b.imag == 0) {\n            return __pyx_t_float_complex_from_parts(a.real / b.real, a.imag / b.real);\n        } else if (fabsf(b.real) >= fabsf(b.imag)) {\n            if (b.real == 0 && b.imag == 0) {\n                return __pyx_t_float_complex_from_parts(a.real / b.real, a.imag / b.imag);\n            } else {\n                float r = b.imag / b.real;\n                float s = (float)(1.0) / (b.real + b.imag * r);\n                return __pyx_t_float_complex_from_parts(\n                    (a.real + a.imag * r) * s, (a.imag - a.real * r) * s);\n            }\n        } else {\n            float r = b.real / b.imag;\n            float s = (float)(1.0) / (b.imag + b.real * r);\n            return __pyx_t_float_complex_from_parts(\n                (a.real * r + a.imag) * s, (a.imag * r - a.real) * s);\n        }\n    }\n    #else\n    static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_quot_float(__pyx_t_float_complex a, __pyx_t_float_complex b) {\n        if (b.imag == 0) {\n            return __pyx_t_float_complex_from_parts(a.real / b.real, a.imag / b.real);\n        } else {\n            float denom = b.real * b.real + b.imag * b.imag;\n            return __pyx_t_float_complex_from_parts(\n                (a.real * b.real + a.imag * b.imag) / denom,\n                (a.imag * b.real - a.real * b.imag) / denom);\n        }\n    }\n    #endif\n    static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_neg_float(__pyx_t_float_complex a) {\n        __pyx_t_float_complex z;\n        z.real = -a.real;\n        z.imag = -a.imag;\n        return z;\n    }\n    static CYTHON_INLINE int __Pyx_c_is_zero_float(__pyx_t_float_complex a) {\n       return (a.real == 0) && (a.imag == 0);\n    }\n    static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_conj_float(__pyx_t_float_complex a) {\n        __pyx_t_float_complex z;\n        z.real =  a.real;\n        z.imag = -a.imag;\n        return z;\n    }\n    #if 1\n        static CYTHON_INLINE float __Pyx_c_abs_float(__pyx_t_float_complex z) {\n          #if !defined(HAVE_HYPOT) || defined(_MSC_VER)\n            return sqrtf(z.real*z.real + z.imag*z.imag);\n          #else\n            return hypotf(z.real, z.imag);\n          #endif\n        }\n        static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_pow_float(__pyx_t_float_complex a, __pyx_t_float_complex b) {\n            __pyx_t_float_complex z;\n            float r, lnr, theta, z_r, z_theta;\n            if (b.imag == 0 && b.real == (int)b.real) {\n                if (b.real < 0) {\n                    float denom = a.real * a.real + a.imag * a.imag;\n                    a.real = a.real / denom;\n                    a.imag = -a.imag / denom;\n                    b.real = -b.real;\n                }\n                switch ((int)b.real) {\n                    case 0:\n                        z.real = 1;\n                        z.imag = 0;\n                        return z;\n                    case 1:\n                        return a;\n                    case 2:\n                        return __Pyx_c_prod_float(a, a);\n                    case 3:\n                        z = __Pyx_c_prod_float(a, a);\n                        return __Pyx_c_prod_float(z, a);\n                    case 4:\n                        z = __Pyx_c_prod_float(a, a);\n                        return __Pyx_c_prod_float(z, z);\n                }\n            }\n            if (a.imag == 0) {\n                if (a.real == 0) {\n                    return a;\n                } else if (b.imag == 0) {\n                    z.real = powf(a.real, b.real);\n                    z.imag = 0;\n                    return z;\n                } else if (a.real > 0) {\n                    r = a.real;\n                    theta = 0;\n                } else {\n                    r = -a.real;\n                    theta = atan2f(0.0, -1.0);\n                }\n            } else {\n                r = __Pyx_c_abs_float(a);\n                theta = atan2f(a.imag, a.real);\n            }\n            lnr = logf(r);\n            z_r = expf(lnr * b.real - theta * b.imag);\n            z_theta = theta * b.real + lnr * b.imag;\n            z.real = z_r * cosf(z_theta);\n            z.imag = z_r * sinf(z_theta);\n            return z;\n        }\n    #endif\n#endif\n\n/* Declarations */\n  #if CYTHON_CCOMPLEX\n  #ifdef __cplusplus\n    static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(double x, double y) {\n      return ::std::complex< double >(x, y);\n    }\n  #else\n    static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(double x, double y) {\n      return x + y*(__pyx_t_double_complex)_Complex_I;\n    }\n  #endif\n#else\n    static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(double x, double y) {\n      __pyx_t_double_complex z;\n      z.real = x;\n      z.imag = y;\n      return z;\n    }\n#endif\n\n/* Arithmetic */\n  #if CYTHON_CCOMPLEX\n#else\n    static CYTHON_INLINE int __Pyx_c_eq_double(__pyx_t_double_complex a, __pyx_t_double_complex b) {\n       return (a.real == b.real) && (a.imag == b.imag);\n    }\n    static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_sum_double(__pyx_t_double_complex a, __pyx_t_double_complex b) {\n        __pyx_t_double_complex z;\n        z.real = a.real + b.real;\n        z.imag = a.imag + b.imag;\n        return z;\n    }\n    static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_diff_double(__pyx_t_double_complex a, __pyx_t_double_complex b) {\n        __pyx_t_double_complex z;\n        z.real = a.real - b.real;\n        z.imag = a.imag - b.imag;\n        return z;\n    }\n    static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_prod_double(__pyx_t_double_complex a, __pyx_t_double_complex b) {\n        __pyx_t_double_complex z;\n        z.real = a.real * b.real - a.imag * b.imag;\n        z.imag = a.real * b.imag + a.imag * b.real;\n        return z;\n    }\n    #if 1\n    static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_quot_double(__pyx_t_double_complex a, __pyx_t_double_complex b) {\n        if (b.imag == 0) {\n            return __pyx_t_double_complex_from_parts(a.real / b.real, a.imag / b.real);\n        } else if (fabs(b.real) >= fabs(b.imag)) {\n            if (b.real == 0 && b.imag == 0) {\n                return __pyx_t_double_complex_from_parts(a.real / b.real, a.imag / b.imag);\n            } else {\n                double r = b.imag / b.real;\n                double s = (double)(1.0) / (b.real + b.imag * r);\n                return __pyx_t_double_complex_from_parts(\n                    (a.real + a.imag * r) * s, (a.imag - a.real * r) * s);\n            }\n        } else {\n            double r = b.real / b.imag;\n            double s = (double)(1.0) / (b.imag + b.real * r);\n            return __pyx_t_double_complex_from_parts(\n                (a.real * r + a.imag) * s, (a.imag * r - a.real) * s);\n        }\n    }\n    #else\n    static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_quot_double(__pyx_t_double_complex a, __pyx_t_double_complex b) {\n        if (b.imag == 0) {\n            return __pyx_t_double_complex_from_parts(a.real / b.real, a.imag / b.real);\n        } else {\n            double denom = b.real * b.real + b.imag * b.imag;\n            return __pyx_t_double_complex_from_parts(\n                (a.real * b.real + a.imag * b.imag) / denom,\n                (a.imag * b.real - a.real * b.imag) / denom);\n        }\n    }\n    #endif\n    static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_neg_double(__pyx_t_double_complex a) {\n        __pyx_t_double_complex z;\n        z.real = -a.real;\n        z.imag = -a.imag;\n        return z;\n    }\n    static CYTHON_INLINE int __Pyx_c_is_zero_double(__pyx_t_double_complex a) {\n       return (a.real == 0) && (a.imag == 0);\n    }\n    static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_conj_double(__pyx_t_double_complex a) {\n        __pyx_t_double_complex z;\n        z.real =  a.real;\n        z.imag = -a.imag;\n        return z;\n    }\n    #if 1\n        static CYTHON_INLINE double __Pyx_c_abs_double(__pyx_t_double_complex z) {\n          #if !defined(HAVE_HYPOT) || defined(_MSC_VER)\n            return sqrt(z.real*z.real + z.imag*z.imag);\n          #else\n            return hypot(z.real, z.imag);\n          #endif\n        }\n        static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_pow_double(__pyx_t_double_complex a, __pyx_t_double_complex b) {\n            __pyx_t_double_complex z;\n            double r, lnr, theta, z_r, z_theta;\n            if (b.imag == 0 && b.real == (int)b.real) {\n                if (b.real < 0) {\n                    double denom = a.real * a.real + a.imag * a.imag;\n                    a.real = a.real / denom;\n                    a.imag = -a.imag / denom;\n                    b.real = -b.real;\n                }\n                switch ((int)b.real) {\n                    case 0:\n                        z.real = 1;\n                        z.imag = 0;\n                        return z;\n                    case 1:\n                        return a;\n                    case 2:\n                        return __Pyx_c_prod_double(a, a);\n                    case 3:\n                        z = __Pyx_c_prod_double(a, a);\n                        return __Pyx_c_prod_double(z, a);\n                    case 4:\n                        z = __Pyx_c_prod_double(a, a);\n                        return __Pyx_c_prod_double(z, z);\n                }\n            }\n            if (a.imag == 0) {\n                if (a.real == 0) {\n                    return a;\n                } else if (b.imag == 0) {\n                    z.real = pow(a.real, b.real);\n                    z.imag = 0;\n                    return z;\n                } else if (a.real > 0) {\n                    r = a.real;\n                    theta = 0;\n                } else {\n                    r = -a.real;\n                    theta = atan2(0.0, -1.0);\n                }\n            } else {\n                r = __Pyx_c_abs_double(a);\n                theta = atan2(a.imag, a.real);\n            }\n            lnr = log(r);\n            z_r = exp(lnr * b.real - theta * b.imag);\n            z_theta = theta * b.real + lnr * b.imag;\n            z.real = z_r * cos(z_theta);\n            z.imag = z_r * sin(z_theta);\n            return z;\n        }\n    #endif\n#endif\n\n/* MemviewSliceCopyTemplate */\n  static __Pyx_memviewslice\n__pyx_memoryview_copy_new_contig(const __Pyx_memviewslice *from_mvs,\n                                 const char *mode, int ndim,\n                                 size_t sizeof_dtype, int contig_flag,\n                                 int dtype_is_object)\n{\n    __Pyx_RefNannyDeclarations\n    int i;\n    __Pyx_memviewslice new_mvs = { 0, 0, { 0 }, { 0 }, { 0 } };\n    struct __pyx_memoryview_obj *from_memview = from_mvs->memview;\n    Py_buffer *buf = &from_memview->view;\n    PyObject *shape_tuple = NULL;\n    PyObject *temp_int = NULL;\n    struct __pyx_array_obj *array_obj = NULL;\n    struct __pyx_memoryview_obj *memview_obj = NULL;\n    __Pyx_RefNannySetupContext(\"__pyx_memoryview_copy_new_contig\", 0);\n    for (i = 0; i < ndim; i++) {\n        if (unlikely(from_mvs->suboffsets[i] >= 0)) {\n            PyErr_Format(PyExc_ValueError, \"Cannot copy memoryview slice with \"\n                                           \"indirect dimensions (axis %d)\", i);\n            goto fail;\n        }\n    }\n    shape_tuple = PyTuple_New(ndim);\n    if (unlikely(!shape_tuple)) {\n        goto fail;\n    }\n    __Pyx_GOTREF(shape_tuple);\n    for(i = 0; i < ndim; i++) {\n        temp_int = PyInt_FromSsize_t(from_mvs->shape[i]);\n        if(unlikely(!temp_int)) {\n            goto fail;\n        } else {\n            PyTuple_SET_ITEM(shape_tuple, i, temp_int);\n            temp_int = NULL;\n        }\n    }\n    array_obj = __pyx_array_new(shape_tuple, sizeof_dtype, buf->format, (char *) mode, NULL);\n    if (unlikely(!array_obj)) {\n        goto fail;\n    }\n    __Pyx_GOTREF(array_obj);\n    memview_obj = (struct __pyx_memoryview_obj *) __pyx_memoryview_new(\n                                    (PyObject *) array_obj, contig_flag,\n                                    dtype_is_object,\n                                    from_mvs->memview->typeinfo);\n    if (unlikely(!memview_obj))\n        goto fail;\n    if (unlikely(__Pyx_init_memviewslice(memview_obj, ndim, &new_mvs, 1) < 0))\n        goto fail;\n    if (unlikely(__pyx_memoryview_copy_contents(*from_mvs, new_mvs, ndim, ndim,\n                                                dtype_is_object) < 0))\n        goto fail;\n    goto no_fail;\nfail:\n    __Pyx_XDECREF(new_mvs.memview);\n    new_mvs.memview = NULL;\n    new_mvs.data = NULL;\nno_fail:\n    __Pyx_XDECREF(shape_tuple);\n    __Pyx_XDECREF(temp_int);\n    __Pyx_XDECREF(array_obj);\n    __Pyx_RefNannyFinishContext();\n    return new_mvs;\n}\n\n/* MemviewSliceInit */\n  static int\n__Pyx_init_memviewslice(struct __pyx_memoryview_obj *memview,\n                        int ndim,\n                        __Pyx_memviewslice *memviewslice,\n                        int memview_is_new_reference)\n{\n    __Pyx_RefNannyDeclarations\n    int i, retval=-1;\n    Py_buffer *buf = &memview->view;\n    __Pyx_RefNannySetupContext(\"init_memviewslice\", 0);\n    if (unlikely(memviewslice->memview || memviewslice->data)) {\n        PyErr_SetString(PyExc_ValueError,\n            \"memviewslice is already initialized!\");\n        goto fail;\n    }\n    if (buf->strides) {\n        for (i = 0; i < ndim; i++) {\n            memviewslice->strides[i] = buf->strides[i];\n        }\n    } else {\n        Py_ssize_t stride = buf->itemsize;\n        for (i = ndim - 1; i >= 0; i--) {\n            memviewslice->strides[i] = stride;\n            stride *= buf->shape[i];\n        }\n    }\n    for (i = 0; i < ndim; i++) {\n        memviewslice->shape[i]   = buf->shape[i];\n        if (buf->suboffsets) {\n            memviewslice->suboffsets[i] = buf->suboffsets[i];\n        } else {\n            memviewslice->suboffsets[i] = -1;\n        }\n    }\n    memviewslice->memview = memview;\n    memviewslice->data = (char *)buf->buf;\n    if (__pyx_add_acquisition_count(memview) == 0 && !memview_is_new_reference) {\n        Py_INCREF(memview);\n    }\n    retval = 0;\n    goto no_fail;\nfail:\n    memviewslice->memview = 0;\n    memviewslice->data = 0;\n    retval = -1;\nno_fail:\n    __Pyx_RefNannyFinishContext();\n    return retval;\n}\n#ifndef Py_NO_RETURN\n#define Py_NO_RETURN\n#endif\nstatic void __pyx_fatalerror(const char *fmt, ...) Py_NO_RETURN {\n    va_list vargs;\n    char msg[200];\n#ifdef HAVE_STDARG_PROTOTYPES\n    va_start(vargs, fmt);\n#else\n    va_start(vargs);\n#endif\n    vsnprintf(msg, 200, fmt, vargs);\n    va_end(vargs);\n    Py_FatalError(msg);\n}\nstatic CYTHON_INLINE int\n__pyx_add_acquisition_count_locked(__pyx_atomic_int *acquisition_count,\n                                   PyThread_type_lock lock)\n{\n    int result;\n    PyThread_acquire_lock(lock, 1);\n    result = (*acquisition_count)++;\n    PyThread_release_lock(lock);\n    return result;\n}\nstatic CYTHON_INLINE int\n__pyx_sub_acquisition_count_locked(__pyx_atomic_int *acquisition_count,\n                                   PyThread_type_lock lock)\n{\n    int result;\n    PyThread_acquire_lock(lock, 1);\n    result = (*acquisition_count)--;\n    PyThread_release_lock(lock);\n    return result;\n}\nstatic CYTHON_INLINE void\n__Pyx_INC_MEMVIEW(__Pyx_memviewslice *memslice, int have_gil, int lineno)\n{\n    int first_time;\n    struct __pyx_memoryview_obj *memview = memslice->memview;\n    if (unlikely(!memview || (PyObject *) memview == Py_None))\n        return;\n    if (unlikely(__pyx_get_slice_count(memview) < 0))\n        __pyx_fatalerror(\"Acquisition count is %d (line %d)\",\n                         __pyx_get_slice_count(memview), lineno);\n    first_time = __pyx_add_acquisition_count(memview) == 0;\n    if (unlikely(first_time)) {\n        if (have_gil) {\n            Py_INCREF((PyObject *) memview);\n        } else {\n            PyGILState_STATE _gilstate = PyGILState_Ensure();\n            Py_INCREF((PyObject *) memview);\n            PyGILState_Release(_gilstate);\n        }\n    }\n}\nstatic CYTHON_INLINE void __Pyx_XDEC_MEMVIEW(__Pyx_memviewslice *memslice,\n                                             int have_gil, int lineno) {\n    int last_time;\n    struct __pyx_memoryview_obj *memview = memslice->memview;\n    if (unlikely(!memview || (PyObject *) memview == Py_None)) {\n        memslice->memview = NULL;\n        return;\n    }\n    if (unlikely(__pyx_get_slice_count(memview) <= 0))\n        __pyx_fatalerror(\"Acquisition count is %d (line %d)\",\n                         __pyx_get_slice_count(memview), lineno);\n    last_time = __pyx_sub_acquisition_count(memview) == 1;\n    memslice->data = NULL;\n    if (unlikely(last_time)) {\n        if (have_gil) {\n            Py_CLEAR(memslice->memview);\n        } else {\n            PyGILState_STATE _gilstate = PyGILState_Ensure();\n            Py_CLEAR(memslice->memview);\n            PyGILState_Release(_gilstate);\n        }\n    } else {\n        memslice->memview = NULL;\n    }\n}\n\n/* CIntFromPy */\n  static CYTHON_INLINE int __Pyx_PyInt_As_int(PyObject *x) {\n    const int neg_one = (int) ((int) 0 - (int) 1), const_zero = (int) 0;\n    const int is_unsigned = neg_one > const_zero;\n#if PY_MAJOR_VERSION < 3\n    if (likely(PyInt_Check(x))) {\n        if (sizeof(int) < sizeof(long)) {\n            __PYX_VERIFY_RETURN_INT(int, long, PyInt_AS_LONG(x))\n        } else {\n            long val = PyInt_AS_LONG(x);\n            if (is_unsigned && unlikely(val < 0)) {\n                goto raise_neg_overflow;\n            }\n            return (int) val;\n        }\n    } else\n#endif\n    if (likely(PyLong_Check(x))) {\n        if (is_unsigned) {\n#if CYTHON_USE_PYLONG_INTERNALS\n            const digit* digits = ((PyLongObject*)x)->ob_digit;\n            switch (Py_SIZE(x)) {\n                case  0: return (int) 0;\n                case  1: __PYX_VERIFY_RETURN_INT(int, digit, digits[0])\n                case 2:\n                    if (8 * sizeof(int) > 1 * PyLong_SHIFT) {\n                        if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {\n                            __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))\n                        } else if (8 * sizeof(int) >= 2 * PyLong_SHIFT) {\n                            return (int) (((((int)digits[1]) << PyLong_SHIFT) | (int)digits[0]));\n                        }\n                    }\n                    break;\n                case 3:\n                    if (8 * sizeof(int) > 2 * PyLong_SHIFT) {\n                        if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {\n                            __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))\n                        } else if (8 * sizeof(int) >= 3 * PyLong_SHIFT) {\n                            return (int) (((((((int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0]));\n                        }\n                    }\n                    break;\n                case 4:\n                    if (8 * sizeof(int) > 3 * PyLong_SHIFT) {\n                        if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {\n                            __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))\n                        } else if (8 * sizeof(int) >= 4 * PyLong_SHIFT) {\n                            return (int) (((((((((int)digits[3]) << PyLong_SHIFT) | (int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0]));\n                        }\n                    }\n                    break;\n            }\n#endif\n#if CYTHON_COMPILING_IN_CPYTHON\n            if (unlikely(Py_SIZE(x) < 0)) {\n                goto raise_neg_overflow;\n            }\n#else\n            {\n                int result = PyObject_RichCompareBool(x, Py_False, Py_LT);\n                if (unlikely(result < 0))\n                    return (int) -1;\n                if (unlikely(result == 1))\n                    goto raise_neg_overflow;\n            }\n#endif\n            if (sizeof(int) <= sizeof(unsigned long)) {\n                __PYX_VERIFY_RETURN_INT_EXC(int, unsigned long, PyLong_AsUnsignedLong(x))\n#ifdef HAVE_LONG_LONG\n            } else if (sizeof(int) <= sizeof(unsigned PY_LONG_LONG)) {\n                __PYX_VERIFY_RETURN_INT_EXC(int, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x))\n#endif\n            }\n        } else {\n#if CYTHON_USE_PYLONG_INTERNALS\n            const digit* digits = ((PyLongObject*)x)->ob_digit;\n            switch (Py_SIZE(x)) {\n                case  0: return (int) 0;\n                case -1: __PYX_VERIFY_RETURN_INT(int, sdigit, (sdigit) (-(sdigit)digits[0]))\n                case  1: __PYX_VERIFY_RETURN_INT(int,  digit, +digits[0])\n                case -2:\n                    if (8 * sizeof(int) - 1 > 1 * PyLong_SHIFT) {\n                        if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {\n                            __PYX_VERIFY_RETURN_INT(int, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))\n                        } else if (8 * sizeof(int) - 1 > 2 * PyLong_SHIFT) {\n                            return (int) (((int)-1)*(((((int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));\n                        }\n                    }\n                    break;\n                case 2:\n                    if (8 * sizeof(int) > 1 * PyLong_SHIFT) {\n                        if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {\n                            __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))\n                        } else if (8 * sizeof(int) - 1 > 2 * PyLong_SHIFT) {\n                            return (int) ((((((int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));\n                        }\n                    }\n                    break;\n                case -3:\n                    if (8 * sizeof(int) - 1 > 2 * PyLong_SHIFT) {\n                        if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {\n                            __PYX_VERIFY_RETURN_INT(int, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))\n                        } else if (8 * sizeof(int) - 1 > 3 * PyLong_SHIFT) {\n                            return (int) (((int)-1)*(((((((int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));\n                        }\n                    }\n                    break;\n                case 3:\n                    if (8 * sizeof(int) > 2 * PyLong_SHIFT) {\n                        if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {\n                            __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))\n                        } else if (8 * sizeof(int) - 1 > 3 * PyLong_SHIFT) {\n                            return (int) ((((((((int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));\n                        }\n                    }\n                    break;\n                case -4:\n                    if (8 * sizeof(int) - 1 > 3 * PyLong_SHIFT) {\n                        if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {\n                            __PYX_VERIFY_RETURN_INT(int, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))\n                        } else if (8 * sizeof(int) - 1 > 4 * PyLong_SHIFT) {\n                            return (int) (((int)-1)*(((((((((int)digits[3]) << PyLong_SHIFT) | (int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));\n                        }\n                    }\n                    break;\n                case 4:\n                    if (8 * sizeof(int) > 3 * PyLong_SHIFT) {\n                        if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {\n                            __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))\n                        } else if (8 * sizeof(int) - 1 > 4 * PyLong_SHIFT) {\n                            return (int) ((((((((((int)digits[3]) << PyLong_SHIFT) | (int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));\n                        }\n                    }\n                    break;\n            }\n#endif\n            if (sizeof(int) <= sizeof(long)) {\n                __PYX_VERIFY_RETURN_INT_EXC(int, long, PyLong_AsLong(x))\n#ifdef HAVE_LONG_LONG\n            } else if (sizeof(int) <= sizeof(PY_LONG_LONG)) {\n                __PYX_VERIFY_RETURN_INT_EXC(int, PY_LONG_LONG, PyLong_AsLongLong(x))\n#endif\n            }\n        }\n        {\n#if CYTHON_COMPILING_IN_PYPY && !defined(_PyLong_AsByteArray)\n            PyErr_SetString(PyExc_RuntimeError,\n                            \"_PyLong_AsByteArray() not available in PyPy, cannot convert large numbers\");\n#else\n            int val;\n            PyObject *v = __Pyx_PyNumber_IntOrLong(x);\n #if PY_MAJOR_VERSION < 3\n            if (likely(v) && !PyLong_Check(v)) {\n                PyObject *tmp = v;\n                v = PyNumber_Long(tmp);\n                Py_DECREF(tmp);\n            }\n #endif\n            if (likely(v)) {\n                int one = 1; int is_little = (int)*(unsigned char *)&one;\n                unsigned char *bytes = (unsigned char *)&val;\n                int ret = _PyLong_AsByteArray((PyLongObject *)v,\n                                              bytes, sizeof(val),\n                                              is_little, !is_unsigned);\n                Py_DECREF(v);\n                if (likely(!ret))\n                    return val;\n            }\n#endif\n            return (int) -1;\n        }\n    } else {\n        int val;\n        PyObject *tmp = __Pyx_PyNumber_IntOrLong(x);\n        if (!tmp) return (int) -1;\n        val = __Pyx_PyInt_As_int(tmp);\n        Py_DECREF(tmp);\n        return val;\n    }\nraise_overflow:\n    PyErr_SetString(PyExc_OverflowError,\n        \"value too large to convert to int\");\n    return (int) -1;\nraise_neg_overflow:\n    PyErr_SetString(PyExc_OverflowError,\n        \"can't convert negative value to int\");\n    return (int) -1;\n}\n\n/* BytesContains */\n  static CYTHON_INLINE int __Pyx_BytesContains(PyObject* bytes, char character) {\n    const Py_ssize_t length = PyBytes_GET_SIZE(bytes);\n    char* char_start = PyBytes_AS_STRING(bytes);\n    return memchr(char_start, (unsigned char)character, (size_t)length) != NULL;\n}\n\n/* ImportNumPyArray */\n  static PyObject* __Pyx__ImportNumPyArray(void) {\n    PyObject *numpy_module, *ndarray_object = NULL;\n    numpy_module = __Pyx_Import(__pyx_n_s_numpy, NULL, 0);\n    if (likely(numpy_module)) {\n        ndarray_object = PyObject_GetAttrString(numpy_module, \"ndarray\");\n        Py_DECREF(numpy_module);\n    }\n    if (unlikely(!ndarray_object)) {\n        PyErr_Clear();\n    }\n    if (unlikely(!ndarray_object || !PyObject_TypeCheck(ndarray_object, &PyType_Type))) {\n        Py_XDECREF(ndarray_object);\n        Py_INCREF(Py_None);\n        ndarray_object = Py_None;\n    }\n    return ndarray_object;\n}\nstatic CYTHON_INLINE PyObject* __Pyx_ImportNumPyArrayTypeIfAvailable(void) {\n    if (unlikely(!__pyx_numpy_ndarray)) {\n        __pyx_numpy_ndarray = __Pyx__ImportNumPyArray();\n    }\n    Py_INCREF(__pyx_numpy_ndarray);\n    return __pyx_numpy_ndarray;\n}\n\n/* CIntFromPy */\n  static CYTHON_INLINE long __Pyx_PyInt_As_long(PyObject *x) {\n    const long neg_one = (long) ((long) 0 - (long) 1), const_zero = (long) 0;\n    const int is_unsigned = neg_one > const_zero;\n#if PY_MAJOR_VERSION < 3\n    if (likely(PyInt_Check(x))) {\n        if (sizeof(long) < sizeof(long)) {\n            __PYX_VERIFY_RETURN_INT(long, long, PyInt_AS_LONG(x))\n        } else {\n            long val = PyInt_AS_LONG(x);\n            if (is_unsigned && unlikely(val < 0)) {\n                goto raise_neg_overflow;\n            }\n            return (long) val;\n        }\n    } else\n#endif\n    if (likely(PyLong_Check(x))) {\n        if (is_unsigned) {\n#if CYTHON_USE_PYLONG_INTERNALS\n            const digit* digits = ((PyLongObject*)x)->ob_digit;\n            switch (Py_SIZE(x)) {\n                case  0: return (long) 0;\n                case  1: __PYX_VERIFY_RETURN_INT(long, digit, digits[0])\n                case 2:\n                    if (8 * sizeof(long) > 1 * PyLong_SHIFT) {\n                        if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {\n                            __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))\n                        } else if (8 * sizeof(long) >= 2 * PyLong_SHIFT) {\n                            return (long) (((((long)digits[1]) << PyLong_SHIFT) | (long)digits[0]));\n                        }\n                    }\n                    break;\n                case 3:\n                    if (8 * sizeof(long) > 2 * PyLong_SHIFT) {\n                        if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {\n                            __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))\n                        } else if (8 * sizeof(long) >= 3 * PyLong_SHIFT) {\n                            return (long) (((((((long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0]));\n                        }\n                    }\n                    break;\n                case 4:\n                    if (8 * sizeof(long) > 3 * PyLong_SHIFT) {\n                        if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {\n                            __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))\n                        } else if (8 * sizeof(long) >= 4 * PyLong_SHIFT) {\n                            return (long) (((((((((long)digits[3]) << PyLong_SHIFT) | (long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0]));\n                        }\n                    }\n                    break;\n            }\n#endif\n#if CYTHON_COMPILING_IN_CPYTHON\n            if (unlikely(Py_SIZE(x) < 0)) {\n                goto raise_neg_overflow;\n            }\n#else\n            {\n                int result = PyObject_RichCompareBool(x, Py_False, Py_LT);\n                if (unlikely(result < 0))\n                    return (long) -1;\n                if (unlikely(result == 1))\n                    goto raise_neg_overflow;\n            }\n#endif\n            if (sizeof(long) <= sizeof(unsigned long)) {\n                __PYX_VERIFY_RETURN_INT_EXC(long, unsigned long, PyLong_AsUnsignedLong(x))\n#ifdef HAVE_LONG_LONG\n            } else if (sizeof(long) <= sizeof(unsigned PY_LONG_LONG)) {\n                __PYX_VERIFY_RETURN_INT_EXC(long, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x))\n#endif\n            }\n        } else {\n#if CYTHON_USE_PYLONG_INTERNALS\n            const digit* digits = ((PyLongObject*)x)->ob_digit;\n            switch (Py_SIZE(x)) {\n                case  0: return (long) 0;\n                case -1: __PYX_VERIFY_RETURN_INT(long, sdigit, (sdigit) (-(sdigit)digits[0]))\n                case  1: __PYX_VERIFY_RETURN_INT(long,  digit, +digits[0])\n                case -2:\n                    if (8 * sizeof(long) - 1 > 1 * PyLong_SHIFT) {\n                        if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {\n                            __PYX_VERIFY_RETURN_INT(long, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))\n                        } else if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) {\n                            return (long) (((long)-1)*(((((long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));\n                        }\n                    }\n                    break;\n                case 2:\n                    if (8 * sizeof(long) > 1 * PyLong_SHIFT) {\n                        if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {\n                            __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))\n                        } else if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) {\n                            return (long) ((((((long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));\n                        }\n                    }\n                    break;\n                case -3:\n                    if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) {\n                        if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {\n                            __PYX_VERIFY_RETURN_INT(long, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))\n                        } else if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) {\n                            return (long) (((long)-1)*(((((((long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));\n                        }\n                    }\n                    break;\n                case 3:\n                    if (8 * sizeof(long) > 2 * PyLong_SHIFT) {\n                        if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {\n                            __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))\n                        } else if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) {\n                            return (long) ((((((((long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));\n                        }\n                    }\n                    break;\n                case -4:\n                    if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) {\n                        if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {\n                            __PYX_VERIFY_RETURN_INT(long, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))\n                        } else if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) {\n                            return (long) (((long)-1)*(((((((((long)digits[3]) << PyLong_SHIFT) | (long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));\n                        }\n                    }\n                    break;\n                case 4:\n                    if (8 * sizeof(long) > 3 * PyLong_SHIFT) {\n                        if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {\n                            __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))\n                        } else if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) {\n                            return (long) ((((((((((long)digits[3]) << PyLong_SHIFT) | (long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));\n                        }\n                    }\n                    break;\n            }\n#endif\n            if (sizeof(long) <= sizeof(long)) {\n                __PYX_VERIFY_RETURN_INT_EXC(long, long, PyLong_AsLong(x))\n#ifdef HAVE_LONG_LONG\n            } else if (sizeof(long) <= sizeof(PY_LONG_LONG)) {\n                __PYX_VERIFY_RETURN_INT_EXC(long, PY_LONG_LONG, PyLong_AsLongLong(x))\n#endif\n            }\n        }\n        {\n#if CYTHON_COMPILING_IN_PYPY && !defined(_PyLong_AsByteArray)\n            PyErr_SetString(PyExc_RuntimeError,\n                            \"_PyLong_AsByteArray() not available in PyPy, cannot convert large numbers\");\n#else\n            long val;\n            PyObject *v = __Pyx_PyNumber_IntOrLong(x);\n #if PY_MAJOR_VERSION < 3\n            if (likely(v) && !PyLong_Check(v)) {\n                PyObject *tmp = v;\n                v = PyNumber_Long(tmp);\n                Py_DECREF(tmp);\n            }\n #endif\n            if (likely(v)) {\n                int one = 1; int is_little = (int)*(unsigned char *)&one;\n                unsigned char *bytes = (unsigned char *)&val;\n                int ret = _PyLong_AsByteArray((PyLongObject *)v,\n                                              bytes, sizeof(val),\n                                              is_little, !is_unsigned);\n                Py_DECREF(v);\n                if (likely(!ret))\n                    return val;\n            }\n#endif\n            return (long) -1;\n        }\n    } else {\n        long val;\n        PyObject *tmp = __Pyx_PyNumber_IntOrLong(x);\n        if (!tmp) return (long) -1;\n        val = __Pyx_PyInt_As_long(tmp);\n        Py_DECREF(tmp);\n        return val;\n    }\nraise_overflow:\n    PyErr_SetString(PyExc_OverflowError,\n        \"value too large to convert to long\");\n    return (long) -1;\nraise_neg_overflow:\n    PyErr_SetString(PyExc_OverflowError,\n        \"can't convert negative value to long\");\n    return (long) -1;\n}\n\n/* CIntFromPy */\n  static CYTHON_INLINE char __Pyx_PyInt_As_char(PyObject *x) {\n    const char neg_one = (char) ((char) 0 - (char) 1), const_zero = (char) 0;\n    const int is_unsigned = neg_one > const_zero;\n#if PY_MAJOR_VERSION < 3\n    if (likely(PyInt_Check(x))) {\n        if (sizeof(char) < sizeof(long)) {\n            __PYX_VERIFY_RETURN_INT(char, long, PyInt_AS_LONG(x))\n        } else {\n            long val = PyInt_AS_LONG(x);\n            if (is_unsigned && unlikely(val < 0)) {\n                goto raise_neg_overflow;\n            }\n            return (char) val;\n        }\n    } else\n#endif\n    if (likely(PyLong_Check(x))) {\n        if (is_unsigned) {\n#if CYTHON_USE_PYLONG_INTERNALS\n            const digit* digits = ((PyLongObject*)x)->ob_digit;\n            switch (Py_SIZE(x)) {\n                case  0: return (char) 0;\n                case  1: __PYX_VERIFY_RETURN_INT(char, digit, digits[0])\n                case 2:\n                    if (8 * sizeof(char) > 1 * PyLong_SHIFT) {\n                        if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {\n                            __PYX_VERIFY_RETURN_INT(char, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))\n                        } else if (8 * sizeof(char) >= 2 * PyLong_SHIFT) {\n                            return (char) (((((char)digits[1]) << PyLong_SHIFT) | (char)digits[0]));\n                        }\n                    }\n                    break;\n                case 3:\n                    if (8 * sizeof(char) > 2 * PyLong_SHIFT) {\n                        if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {\n                            __PYX_VERIFY_RETURN_INT(char, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))\n                        } else if (8 * sizeof(char) >= 3 * PyLong_SHIFT) {\n                            return (char) (((((((char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0]));\n                        }\n                    }\n                    break;\n                case 4:\n                    if (8 * sizeof(char) > 3 * PyLong_SHIFT) {\n                        if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {\n                            __PYX_VERIFY_RETURN_INT(char, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))\n                        } else if (8 * sizeof(char) >= 4 * PyLong_SHIFT) {\n                            return (char) (((((((((char)digits[3]) << PyLong_SHIFT) | (char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0]));\n                        }\n                    }\n                    break;\n            }\n#endif\n#if CYTHON_COMPILING_IN_CPYTHON\n            if (unlikely(Py_SIZE(x) < 0)) {\n                goto raise_neg_overflow;\n            }\n#else\n            {\n                int result = PyObject_RichCompareBool(x, Py_False, Py_LT);\n                if (unlikely(result < 0))\n                    return (char) -1;\n                if (unlikely(result == 1))\n                    goto raise_neg_overflow;\n            }\n#endif\n            if (sizeof(char) <= sizeof(unsigned long)) {\n                __PYX_VERIFY_RETURN_INT_EXC(char, unsigned long, PyLong_AsUnsignedLong(x))\n#ifdef HAVE_LONG_LONG\n            } else if (sizeof(char) <= sizeof(unsigned PY_LONG_LONG)) {\n                __PYX_VERIFY_RETURN_INT_EXC(char, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x))\n#endif\n            }\n        } else {\n#if CYTHON_USE_PYLONG_INTERNALS\n            const digit* digits = ((PyLongObject*)x)->ob_digit;\n            switch (Py_SIZE(x)) {\n                case  0: return (char) 0;\n                case -1: __PYX_VERIFY_RETURN_INT(char, sdigit, (sdigit) (-(sdigit)digits[0]))\n                case  1: __PYX_VERIFY_RETURN_INT(char,  digit, +digits[0])\n                case -2:\n                    if (8 * sizeof(char) - 1 > 1 * PyLong_SHIFT) {\n                        if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {\n                            __PYX_VERIFY_RETURN_INT(char, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))\n                        } else if (8 * sizeof(char) - 1 > 2 * PyLong_SHIFT) {\n                            return (char) (((char)-1)*(((((char)digits[1]) << PyLong_SHIFT) | (char)digits[0])));\n                        }\n                    }\n                    break;\n                case 2:\n                    if (8 * sizeof(char) > 1 * PyLong_SHIFT) {\n                        if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {\n                            __PYX_VERIFY_RETURN_INT(char, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))\n                        } else if (8 * sizeof(char) - 1 > 2 * PyLong_SHIFT) {\n                            return (char) ((((((char)digits[1]) << PyLong_SHIFT) | (char)digits[0])));\n                        }\n                    }\n                    break;\n                case -3:\n                    if (8 * sizeof(char) - 1 > 2 * PyLong_SHIFT) {\n                        if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {\n                            __PYX_VERIFY_RETURN_INT(char, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))\n                        } else if (8 * sizeof(char) - 1 > 3 * PyLong_SHIFT) {\n                            return (char) (((char)-1)*(((((((char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0])));\n                        }\n                    }\n                    break;\n                case 3:\n                    if (8 * sizeof(char) > 2 * PyLong_SHIFT) {\n                        if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {\n                            __PYX_VERIFY_RETURN_INT(char, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))\n                        } else if (8 * sizeof(char) - 1 > 3 * PyLong_SHIFT) {\n                            return (char) ((((((((char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0])));\n                        }\n                    }\n                    break;\n                case -4:\n                    if (8 * sizeof(char) - 1 > 3 * PyLong_SHIFT) {\n                        if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {\n                            __PYX_VERIFY_RETURN_INT(char, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))\n                        } else if (8 * sizeof(char) - 1 > 4 * PyLong_SHIFT) {\n                            return (char) (((char)-1)*(((((((((char)digits[3]) << PyLong_SHIFT) | (char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0])));\n                        }\n                    }\n                    break;\n                case 4:\n                    if (8 * sizeof(char) > 3 * PyLong_SHIFT) {\n                        if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {\n                            __PYX_VERIFY_RETURN_INT(char, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))\n                        } else if (8 * sizeof(char) - 1 > 4 * PyLong_SHIFT) {\n                            return (char) ((((((((((char)digits[3]) << PyLong_SHIFT) | (char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0])));\n                        }\n                    }\n                    break;\n            }\n#endif\n            if (sizeof(char) <= sizeof(long)) {\n                __PYX_VERIFY_RETURN_INT_EXC(char, long, PyLong_AsLong(x))\n#ifdef HAVE_LONG_LONG\n            } else if (sizeof(char) <= sizeof(PY_LONG_LONG)) {\n                __PYX_VERIFY_RETURN_INT_EXC(char, PY_LONG_LONG, PyLong_AsLongLong(x))\n#endif\n            }\n        }\n        {\n#if CYTHON_COMPILING_IN_PYPY && !defined(_PyLong_AsByteArray)\n            PyErr_SetString(PyExc_RuntimeError,\n                            \"_PyLong_AsByteArray() not available in PyPy, cannot convert large numbers\");\n#else\n            char val;\n            PyObject *v = __Pyx_PyNumber_IntOrLong(x);\n #if PY_MAJOR_VERSION < 3\n            if (likely(v) && !PyLong_Check(v)) {\n                PyObject *tmp = v;\n                v = PyNumber_Long(tmp);\n                Py_DECREF(tmp);\n            }\n #endif\n            if (likely(v)) {\n                int one = 1; int is_little = (int)*(unsigned char *)&one;\n                unsigned char *bytes = (unsigned char *)&val;\n                int ret = _PyLong_AsByteArray((PyLongObject *)v,\n                                              bytes, sizeof(val),\n                                              is_little, !is_unsigned);\n                Py_DECREF(v);\n                if (likely(!ret))\n                    return val;\n            }\n#endif\n            return (char) -1;\n        }\n    } else {\n        char val;\n        PyObject *tmp = __Pyx_PyNumber_IntOrLong(x);\n        if (!tmp) return (char) -1;\n        val = __Pyx_PyInt_As_char(tmp);\n        Py_DECREF(tmp);\n        return val;\n    }\nraise_overflow:\n    PyErr_SetString(PyExc_OverflowError,\n        \"value too large to convert to char\");\n    return (char) -1;\nraise_neg_overflow:\n    PyErr_SetString(PyExc_OverflowError,\n        \"can't convert negative value to char\");\n    return (char) -1;\n}\n\n/* CheckBinaryVersion */\n  static int __Pyx_check_binary_version(void) {\n    char ctversion[4], rtversion[4];\n    PyOS_snprintf(ctversion, 4, \"%d.%d\", PY_MAJOR_VERSION, PY_MINOR_VERSION);\n    PyOS_snprintf(rtversion, 4, \"%s\", Py_GetVersion());\n    if (ctversion[0] != rtversion[0] || ctversion[2] != rtversion[2]) {\n        char message[200];\n        PyOS_snprintf(message, sizeof(message),\n                      \"compiletime version %s of module '%.100s' \"\n                      \"does not match runtime version %s\",\n                      ctversion, __Pyx_MODULE_NAME, rtversion);\n        return PyErr_WarnEx(NULL, message, 1);\n    }\n    return 0;\n}\n\n/* InitStrings */\n  static int __Pyx_InitStrings(__Pyx_StringTabEntry *t) {\n    while (t->p) {\n        #if PY_MAJOR_VERSION < 3\n        if (t->is_unicode) {\n            *t->p = PyUnicode_DecodeUTF8(t->s, t->n - 1, NULL);\n        } else if (t->intern) {\n            *t->p = PyString_InternFromString(t->s);\n        } else {\n            *t->p = PyString_FromStringAndSize(t->s, t->n - 1);\n        }\n        #else\n        if (t->is_unicode | t->is_str) {\n            if (t->intern) {\n                *t->p = PyUnicode_InternFromString(t->s);\n            } else if (t->encoding) {\n                *t->p = PyUnicode_Decode(t->s, t->n - 1, t->encoding, NULL);\n            } else {\n                *t->p = PyUnicode_FromStringAndSize(t->s, t->n - 1);\n            }\n        } else {\n            *t->p = PyBytes_FromStringAndSize(t->s, t->n - 1);\n        }\n        #endif\n        if (!*t->p)\n            return -1;\n        if (PyObject_Hash(*t->p) == -1)\n            return -1;\n        ++t;\n    }\n    return 0;\n}\n\nstatic CYTHON_INLINE PyObject* __Pyx_PyUnicode_FromString(const char* c_str) {\n    return __Pyx_PyUnicode_FromStringAndSize(c_str, (Py_ssize_t)strlen(c_str));\n}\nstatic CYTHON_INLINE const char* __Pyx_PyObject_AsString(PyObject* o) {\n    Py_ssize_t ignore;\n    return __Pyx_PyObject_AsStringAndSize(o, &ignore);\n}\n#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII || __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT\n#if !CYTHON_PEP393_ENABLED\nstatic const char* __Pyx_PyUnicode_AsStringAndSize(PyObject* o, Py_ssize_t *length) {\n    char* defenc_c;\n    PyObject* defenc = _PyUnicode_AsDefaultEncodedString(o, NULL);\n    if (!defenc) return NULL;\n    defenc_c = PyBytes_AS_STRING(defenc);\n#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII\n    {\n        char* end = defenc_c + PyBytes_GET_SIZE(defenc);\n        char* c;\n        for (c = defenc_c; c < end; c++) {\n            if ((unsigned char) (*c) >= 128) {\n                PyUnicode_AsASCIIString(o);\n                return NULL;\n            }\n        }\n    }\n#endif\n    *length = PyBytes_GET_SIZE(defenc);\n    return defenc_c;\n}\n#else\nstatic CYTHON_INLINE const char* __Pyx_PyUnicode_AsStringAndSize(PyObject* o, Py_ssize_t *length) {\n    if (unlikely(__Pyx_PyUnicode_READY(o) == -1)) return NULL;\n#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII\n    if (likely(PyUnicode_IS_ASCII(o))) {\n        *length = PyUnicode_GET_LENGTH(o);\n        return PyUnicode_AsUTF8(o);\n    } else {\n        PyUnicode_AsASCIIString(o);\n        return NULL;\n    }\n#else\n    return PyUnicode_AsUTF8AndSize(o, length);\n#endif\n}\n#endif\n#endif\nstatic CYTHON_INLINE const char* __Pyx_PyObject_AsStringAndSize(PyObject* o, Py_ssize_t *length) {\n#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII || __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT\n    if (\n#if PY_MAJOR_VERSION < 3 && __PYX_DEFAULT_STRING_ENCODING_IS_ASCII\n            __Pyx_sys_getdefaultencoding_not_ascii &&\n#endif\n            PyUnicode_Check(o)) {\n        return __Pyx_PyUnicode_AsStringAndSize(o, length);\n    } else\n#endif\n#if (!CYTHON_COMPILING_IN_PYPY) || (defined(PyByteArray_AS_STRING) && defined(PyByteArray_GET_SIZE))\n    if (PyByteArray_Check(o)) {\n        *length = PyByteArray_GET_SIZE(o);\n        return PyByteArray_AS_STRING(o);\n    } else\n#endif\n    {\n        char* result;\n        int r = PyBytes_AsStringAndSize(o, &result, length);\n        if (unlikely(r < 0)) {\n            return NULL;\n        } else {\n            return result;\n        }\n    }\n}\nstatic CYTHON_INLINE int __Pyx_PyObject_IsTrue(PyObject* x) {\n   int is_true = x == Py_True;\n   if (is_true | (x == Py_False) | (x == Py_None)) return is_true;\n   else return PyObject_IsTrue(x);\n}\nstatic CYTHON_INLINE int __Pyx_PyObject_IsTrueAndDecref(PyObject* x) {\n    int retval;\n    if (unlikely(!x)) return -1;\n    retval = __Pyx_PyObject_IsTrue(x);\n    Py_DECREF(x);\n    return retval;\n}\nstatic PyObject* __Pyx_PyNumber_IntOrLongWrongResultType(PyObject* result, const char* type_name) {\n#if PY_MAJOR_VERSION >= 3\n    if (PyLong_Check(result)) {\n        if (PyErr_WarnFormat(PyExc_DeprecationWarning, 1,\n                \"__int__ returned non-int (type %.200s).  \"\n                \"The ability to return an instance of a strict subclass of int \"\n                \"is deprecated, and may be removed in a future version of Python.\",\n                Py_TYPE(result)->tp_name)) {\n            Py_DECREF(result);\n            return NULL;\n        }\n        return result;\n    }\n#endif\n    PyErr_Format(PyExc_TypeError,\n                 \"__%.4s__ returned non-%.4s (type %.200s)\",\n                 type_name, type_name, Py_TYPE(result)->tp_name);\n    Py_DECREF(result);\n    return NULL;\n}\nstatic CYTHON_INLINE PyObject* __Pyx_PyNumber_IntOrLong(PyObject* x) {\n#if CYTHON_USE_TYPE_SLOTS\n  PyNumberMethods *m;\n#endif\n  const char *name = NULL;\n  PyObject *res = NULL;\n#if PY_MAJOR_VERSION < 3\n  if (likely(PyInt_Check(x) || PyLong_Check(x)))\n#else\n  if (likely(PyLong_Check(x)))\n#endif\n    return __Pyx_NewRef(x);\n#if CYTHON_USE_TYPE_SLOTS\n  m = Py_TYPE(x)->tp_as_number;\n  #if PY_MAJOR_VERSION < 3\n  if (m && m->nb_int) {\n    name = \"int\";\n    res = m->nb_int(x);\n  }\n  else if (m && m->nb_long) {\n    name = \"long\";\n    res = m->nb_long(x);\n  }\n  #else\n  if (likely(m && m->nb_int)) {\n    name = \"int\";\n    res = m->nb_int(x);\n  }\n  #endif\n#else\n  if (!PyBytes_CheckExact(x) && !PyUnicode_CheckExact(x)) {\n    res = PyNumber_Int(x);\n  }\n#endif\n  if (likely(res)) {\n#if PY_MAJOR_VERSION < 3\n    if (unlikely(!PyInt_Check(res) && !PyLong_Check(res))) {\n#else\n    if (unlikely(!PyLong_CheckExact(res))) {\n#endif\n        return __Pyx_PyNumber_IntOrLongWrongResultType(res, name);\n    }\n  }\n  else if (!PyErr_Occurred()) {\n    PyErr_SetString(PyExc_TypeError,\n                    \"an integer is required\");\n  }\n  return res;\n}\nstatic CYTHON_INLINE Py_ssize_t __Pyx_PyIndex_AsSsize_t(PyObject* b) {\n  Py_ssize_t ival;\n  PyObject *x;\n#if PY_MAJOR_VERSION < 3\n  if (likely(PyInt_CheckExact(b))) {\n    if (sizeof(Py_ssize_t) >= sizeof(long))\n        return PyInt_AS_LONG(b);\n    else\n        return PyInt_AsSsize_t(b);\n  }\n#endif\n  if (likely(PyLong_CheckExact(b))) {\n    #if CYTHON_USE_PYLONG_INTERNALS\n    const digit* digits = ((PyLongObject*)b)->ob_digit;\n    const Py_ssize_t size = Py_SIZE(b);\n    if (likely(__Pyx_sst_abs(size) <= 1)) {\n        ival = likely(size) ? digits[0] : 0;\n        if (size == -1) ival = -ival;\n        return ival;\n    } else {\n      switch (size) {\n         case 2:\n           if (8 * sizeof(Py_ssize_t) > 2 * PyLong_SHIFT) {\n             return (Py_ssize_t) (((((size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));\n           }\n           break;\n         case -2:\n           if (8 * sizeof(Py_ssize_t) > 2 * PyLong_SHIFT) {\n             return -(Py_ssize_t) (((((size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));\n           }\n           break;\n         case 3:\n           if (8 * sizeof(Py_ssize_t) > 3 * PyLong_SHIFT) {\n             return (Py_ssize_t) (((((((size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));\n           }\n           break;\n         case -3:\n           if (8 * sizeof(Py_ssize_t) > 3 * PyLong_SHIFT) {\n             return -(Py_ssize_t) (((((((size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));\n           }\n           break;\n         case 4:\n           if (8 * sizeof(Py_ssize_t) > 4 * PyLong_SHIFT) {\n             return (Py_ssize_t) (((((((((size_t)digits[3]) << PyLong_SHIFT) | (size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));\n           }\n           break;\n         case -4:\n           if (8 * sizeof(Py_ssize_t) > 4 * PyLong_SHIFT) {\n             return -(Py_ssize_t) (((((((((size_t)digits[3]) << PyLong_SHIFT) | (size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));\n           }\n           break;\n      }\n    }\n    #endif\n    return PyLong_AsSsize_t(b);\n  }\n  x = PyNumber_Index(b);\n  if (!x) return -1;\n  ival = PyInt_AsSsize_t(x);\n  Py_DECREF(x);\n  return ival;\n}\nstatic CYTHON_INLINE PyObject * __Pyx_PyBool_FromLong(long b) {\n  return b ? __Pyx_NewRef(Py_True) : __Pyx_NewRef(Py_False);\n}\nstatic CYTHON_INLINE PyObject * __Pyx_PyInt_FromSize_t(size_t ival) {\n    return PyInt_FromSize_t(ival);\n}\n\n\n#endif /* Py_PYTHON_H */\n"
  },
  {
    "path": "cs231n/assignment2/cs231n/im2col_cython.pyx",
    "content": "import numpy as np\ncimport numpy as np\ncimport cython\n\n# DTYPE = np.float64\n# ctypedef np.float64_t DTYPE_t\n\nctypedef fused DTYPE_t:\n    np.float32_t\n    np.float64_t\n\ndef im2col_cython(np.ndarray[DTYPE_t, ndim=4] x, int field_height,\n                  int field_width, int padding, int stride):\n    cdef int N = x.shape[0]\n    cdef int C = x.shape[1]\n    cdef int H = x.shape[2]\n    cdef int W = x.shape[3]\n    \n    cdef int HH = (H + 2 * padding - field_height) / stride + 1\n    cdef int WW = (W + 2 * padding - field_width) / stride + 1\n\n    cdef int p = padding\n    cdef np.ndarray[DTYPE_t, ndim=4] x_padded = np.pad(x,\n            ((0, 0), (0, 0), (p, p), (p, p)), mode='constant')\n\n    cdef np.ndarray[DTYPE_t, ndim=2] cols = np.zeros(\n            (C * field_height * field_width, N * HH * WW),\n            dtype=x.dtype)\n\n    # Moving the inner loop to a C function with no bounds checking works, but does\n    # not seem to help performance in any measurable way.\n\n    im2col_cython_inner(cols, x_padded, N, C, H, W, HH, WW,\n                        field_height, field_width, padding, stride)\n    return cols\n\n\n@cython.boundscheck(False)\ncdef int im2col_cython_inner(np.ndarray[DTYPE_t, ndim=2] cols,\n                             np.ndarray[DTYPE_t, ndim=4] x_padded,\n                             int N, int C, int H, int W, int HH, int WW,\n                             int field_height, int field_width, int padding, int stride) except? -1:\n    cdef int c, ii, jj, row, yy, xx, i, col\n\n    for c in range(C):\n        for yy in range(HH):\n            for xx in range(WW):\n                for ii in range(field_height):\n                    for jj in range(field_width):\n                        row = c * field_width * field_height + ii * field_height + jj\n                        for i in range(N):\n                            col = yy * WW * N + xx * N + i\n                            cols[row, col] = x_padded[i, c, stride * yy + ii, stride * xx + jj]\n\n\n\ndef col2im_cython(np.ndarray[DTYPE_t, ndim=2] cols, int N, int C, int H, int W,\n                  int field_height, int field_width, int padding, int stride):\n    cdef np.ndarray x = np.empty((N, C, H, W), dtype=cols.dtype)\n    cdef int HH = (H + 2 * padding - field_height) / stride + 1\n    cdef int WW = (W + 2 * padding - field_width) / stride + 1\n    cdef np.ndarray[DTYPE_t, ndim=4] x_padded = np.zeros((N, C, H + 2 * padding, W + 2 * padding),\n                                        dtype=cols.dtype)\n\n    # Moving the inner loop to a C-function with no bounds checking improves\n    # performance quite a bit for col2im.\n    col2im_cython_inner(cols, x_padded, N, C, H, W, HH, WW, \n                        field_height, field_width, padding, stride)\n    if padding > 0:\n        return x_padded[:, :, padding:-padding, padding:-padding]\n    return x_padded\n\n\n@cython.boundscheck(False)\ncdef int col2im_cython_inner(np.ndarray[DTYPE_t, ndim=2] cols,\n                             np.ndarray[DTYPE_t, ndim=4] x_padded,\n                             int N, int C, int H, int W, int HH, int WW,\n                             int field_height, int field_width, int padding, int stride) except? -1:\n    cdef int c, ii, jj, row, yy, xx, i, col\n\n    for c in range(C):\n        for ii in range(field_height):\n            for jj in range(field_width):\n                row = c * field_width * field_height + ii * field_height + jj\n                for yy in range(HH):\n                    for xx in range(WW):\n                        for i in range(N):\n                            col = yy * WW * N + xx * N + i\n                            x_padded[i, c, stride * yy + ii, stride * xx + jj] += cols[row, col]\n\n\n@cython.boundscheck(False)\n@cython.wraparound(False)\ncdef col2im_6d_cython_inner(np.ndarray[DTYPE_t, ndim=6] cols,\n                            np.ndarray[DTYPE_t, ndim=4] x_padded,\n                            int N, int C, int H, int W, int HH, int WW,\n                            int out_h, int out_w, int pad, int stride):\n\n    cdef int c, hh, ww, n, h, w\n    for n in range(N):\n        for c in range(C):\n            for hh in range(HH):\n                for ww in range(WW):\n                    for h in range(out_h):\n                        for w in range(out_w):\n                            x_padded[n, c, stride * h + hh, stride * w + ww] += cols[c, hh, ww, n, h, w]\n    \n\ndef col2im_6d_cython(np.ndarray[DTYPE_t, ndim=6] cols, int N, int C, int H, int W,\n        int HH, int WW, int pad, int stride):\n    cdef np.ndarray x = np.empty((N, C, H, W), dtype=cols.dtype)\n    cdef int out_h = (H + 2 * pad - HH) / stride + 1\n    cdef int out_w = (W + 2 * pad - WW) / stride + 1\n    cdef np.ndarray[DTYPE_t, ndim=4] x_padded = np.zeros((N, C, H + 2 * pad, W + 2 * pad),\n                                                  dtype=cols.dtype)\n\n    col2im_6d_cython_inner(cols, x_padded, N, C, H, W, HH, WW, out_h, out_w, pad, stride)\n\n    if pad > 0:\n        return x_padded[:, :, pad:-pad, pad:-pad]\n    return x_padded \n"
  },
  {
    "path": "cs231n/assignment2/cs231n/layer_utils.py",
    "content": "# *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n\npass\n\n# *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\nfrom .layers import *\nfrom .fast_layers import *\n\n\ndef affine_relu_forward(x, w, b):\n    \"\"\"\n    Convenience layer that perorms an affine transform followed by a ReLU\n\n    Inputs:\n    - x: Input to the affine layer\n    - w, b: Weights for the affine layer\n\n    Returns a tuple of:\n    - out: Output from the ReLU\n    - cache: Object to give to the backward pass\n    \"\"\"\n    a, fc_cache = affine_forward(x, w, b)\n    out, relu_cache = relu_forward(a)\n    cache = (fc_cache, relu_cache)\n    return out, cache\n\n\ndef affine_relu_backward(dout, cache):\n    \"\"\"\n    Backward pass for the affine-relu convenience layer\n    \"\"\"\n    fc_cache, relu_cache = cache\n    da = relu_backward(dout, relu_cache)\n    dx, dw, db = affine_backward(da, fc_cache)\n    return dx, dw, db\n\n\ndef conv_relu_forward(x, w, b, conv_param):\n    \"\"\"\n    A convenience layer that performs a convolution followed by a ReLU.\n\n    Inputs:\n    - x: Input to the convolutional layer\n    - w, b, conv_param: Weights and parameters for the convolutional layer\n\n    Returns a tuple of:\n    - out: Output from the ReLU\n    - cache: Object to give to the backward pass\n    \"\"\"\n    a, conv_cache = conv_forward_fast(x, w, b, conv_param)\n    out, relu_cache = relu_forward(a)\n    cache = (conv_cache, relu_cache)\n    return out, cache\n\n\ndef conv_relu_backward(dout, cache):\n    \"\"\"\n    Backward pass for the conv-relu convenience layer.\n    \"\"\"\n    conv_cache, relu_cache = cache\n    da = relu_backward(dout, relu_cache)\n    dx, dw, db = conv_backward_fast(da, conv_cache)\n    return dx, dw, db\n\n\ndef conv_bn_relu_forward(x, w, b, gamma, beta, conv_param, bn_param):\n    a, conv_cache = conv_forward_fast(x, w, b, conv_param)\n    an, bn_cache = spatial_batchnorm_forward(a, gamma, beta, bn_param)\n    out, relu_cache = relu_forward(an)\n    cache = (conv_cache, bn_cache, relu_cache)\n    return out, cache\n\n\ndef conv_bn_relu_backward(dout, cache):\n    conv_cache, bn_cache, relu_cache = cache\n    dan = relu_backward(dout, relu_cache)\n    da, dgamma, dbeta = spatial_batchnorm_backward(dan, bn_cache)\n    dx, dw, db = conv_backward_fast(da, conv_cache)\n    return dx, dw, db, dgamma, dbeta\n\n\ndef conv_relu_pool_forward(x, w, b, conv_param, pool_param):\n    \"\"\"\n    Convenience layer that performs a convolution, a ReLU, and a pool.\n\n    Inputs:\n    - x: Input to the convolutional layer\n    - w, b, conv_param: Weights and parameters for the convolutional layer\n    - pool_param: Parameters for the pooling layer\n\n    Returns a tuple of:\n    - out: Output from the pooling layer\n    - cache: Object to give to the backward pass\n    \"\"\"\n    a, conv_cache = conv_forward_fast(x, w, b, conv_param)\n    s, relu_cache = relu_forward(a)\n    out, pool_cache = max_pool_forward_fast(s, pool_param)\n    cache = (conv_cache, relu_cache, pool_cache)\n    return out, cache\n\n\ndef conv_relu_pool_backward(dout, cache):\n    \"\"\"\n    Backward pass for the conv-relu-pool convenience layer\n    \"\"\"\n    conv_cache, relu_cache, pool_cache = cache\n    ds = max_pool_backward_fast(dout, pool_cache)\n    da = relu_backward(ds, relu_cache)\n    dx, dw, db = conv_backward_fast(da, conv_cache)\n    return dx, dw, db\n"
  },
  {
    "path": "cs231n/assignment2/cs231n/layers.py",
    "content": "from builtins import range\nimport numpy as np\n\n\n\ndef affine_forward(x, w, b):\n    \"\"\"\n    Computes the forward pass for an affine (fully-connected) layer.\n\n    The input x has shape (N, d_1, ..., d_k) and contains a minibatch of N\n    examples, where each example x[i] has shape (d_1, ..., d_k). We will\n    reshape each input into a vector of dimension D = d_1 * ... * d_k, and\n    then transform it to an output vector of dimension M.\n\n    Inputs:\n    - x: A numpy array containing input data, of shape (N, d_1, ..., d_k)\n    - w: A numpy array of weights, of shape (D, M)\n    - b: A numpy array of biases, of shape (M,)\n\n    Returns a tuple of:\n    - out: output, of shape (N, M)\n    - cache: (x, w, b)\n    \"\"\"\n    out = None\n    ###########################################################################\n    # TODO: Implement the affine forward pass. Store the result in out. You   #\n    # will need to reshape the input into rows.                               #\n    ###########################################################################\n    # *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n\n    N = x.shape[0]\n    D = np.prod(x.shape[1:])\n\n    x_input = x.reshape(N, D)\n\n    out = x_input @ w + b\n\n    # *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n    ###########################################################################\n    #                             END OF YOUR CODE                            #\n    ###########################################################################\n    cache = (x, w, b)\n    return out, cache\n\n\ndef affine_backward(dout, cache):\n    \"\"\"\n    Computes the backward pass for an affine layer.\n\n    Inputs:\n    - dout: Upstream derivative, of shape (N, M)\n    - cache: Tuple of:\n      - x: Input data, of shape (N, d_1, ... d_k)\n      - w: Weights, of shape (D, M)\n      - b: Biases, of shape (M,)\n\n    Returns a tuple of:\n    - dx: Gradient with respect to x, of shape (N, d1, ..., d_k)\n    - dw: Gradient with respect to w, of shape (D, M)\n    - db: Gradient with respect to b, of shape (M,)\n    \"\"\"\n    x, w, b = cache\n    dx, dw, db = None, None, None\n    ###########################################################################\n    # TODO: Implement the affine backward pass.                               #\n    ###########################################################################\n    # *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n\n    N, M = dout.shape\n\n    dx = dout @ w.T\n    dx = dx.reshape(*x.shape)\n\n    D = np.prod(x.shape[1:])\n    x_input = x.reshape(N, D)\n\n    dw = x_input.T @ dout\n\n    db = dout.sum(axis=0)\n\n    # *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n    ###########################################################################\n    #                             END OF YOUR CODE                            #\n    ###########################################################################\n    return dx, dw, db\n\n\ndef relu_forward(x):\n    \"\"\"\n    Computes the forward pass for a layer of rectified linear units (ReLUs).\n\n    Input:\n    - x: Inputs, of any shape\n\n    Returns a tuple of:\n    - out: Output, of the same shape as x\n    - cache: x\n    \"\"\"\n    out = None\n    ###########################################################################\n    # TODO: Implement the ReLU forward pass.                                  #\n    ###########################################################################\n    # *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n\n    out = np.where(x<0, 0, x)\n\n    # *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n    ###########################################################################\n    #                             END OF YOUR CODE                            #\n    ###########################################################################\n    cache = x\n    return out, cache\n\n\ndef relu_backward(dout, cache):\n    \"\"\"\n    Computes the backward pass for a layer of rectified linear units (ReLUs).\n\n    Input:\n    - dout: Upstream derivatives, of any shape\n    - cache: Input x, of same shape as dout\n\n    Returns:\n    - dx: Gradient with respect to x\n    \"\"\"\n    dx, x = None, cache\n    ###########################################################################\n    # TODO: Implement the ReLU backward pass.                                 #\n    ###########################################################################\n    # *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n\n    dx = np.where(x<0, 0, 1) * dout\n\n    # *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n    ###########################################################################\n    #                             END OF YOUR CODE                            #\n    ###########################################################################\n    return dx\n\n\ndef batchnorm_forward(x, gamma, beta, bn_param):\n    \"\"\"\n    Forward pass for batch normalization.\n\n    During training the sample mean and (uncorrected) sample variance are\n    computed from minibatch statistics and used to normalize the incoming data.\n    During training we also keep an exponentially decaying running mean of the\n    mean and variance of each feature, and these averages are used to normalize\n    data at test-time.\n\n    At each timestep we update the running averages for mean and variance using\n    an exponential decay based on the momentum parameter:\n\n    running_mean = momentum * running_mean + (1 - momentum) * sample_mean\n    running_var = momentum * running_var + (1 - momentum) * sample_var\n\n    Note that the batch normalization paper suggests a different test-time\n    behavior: they compute sample mean and variance for each feature using a\n    large number of training images rather than using a running average. For\n    this implementation we have chosen to use running averages instead since\n    they do not require an additional estimation step; the torch7\n    implementation of batch normalization also uses running averages.\n\n    Input:\n    - x: Data of shape (N, D)\n    - gamma: Scale parameter of shape (D,)\n    - beta: Shift paremeter of shape (D,)\n    - bn_param: Dictionary with the following keys:\n      - mode: 'train' or 'test'; required\n      - eps: Constant for numeric stability\n      - momentum: Constant for running mean / variance.\n      - running_mean: Array of shape (D,) giving running mean of features\n      - running_var Array of shape (D,) giving running variance of features\n\n    Returns a tuple of:\n    - out: of shape (N, D)\n    - cache: A tuple of values needed in the backward pass\n    \"\"\"\n    mode = bn_param[\"mode\"]\n    eps = bn_param.get(\"eps\", 1e-5)\n    momentum = bn_param.get(\"momentum\", 0.9)\n\n    N, D = x.shape\n    running_mean = bn_param.get(\"running_mean\", np.zeros(D, dtype=x.dtype))\n    running_var = bn_param.get(\"running_var\", np.zeros(D, dtype=x.dtype))\n\n    out, cache = None, None\n    if mode == \"train\":\n        #######################################################################\n        # TODO: Implement the training-time forward pass for batch norm.      #\n        # Use minibatch statistics to compute the mean and variance, use      #\n        # these statistics to normalize the incoming data, and scale and      #\n        # shift the normalized data using gamma and beta.                     #\n        #                                                                     #\n        # You should store the output in the variable out. Any intermediates  #\n        # that you need for the backward pass should be stored in the cache   #\n        # variable.                                                           #\n        #                                                                     #\n        # You should also use your computed sample mean and variance together #\n        # with the momentum variable to update the running mean and running   #\n        # variance, storing your result in the running_mean and running_var   #\n        # variables.                                                          #\n        #                                                                     #\n        # Note that though you should be keeping track of the running         #\n        # variance, you should normalize the data based on the standard       #\n        # deviation (square root of variance) instead!                        #\n        # Referencing the original paper (https://arxiv.org/abs/1502.03167)   #\n        # might prove to be helpful.                                          #\n        #######################################################################\n        # *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n\n        # Batch normalization algorithm rewritten in the way to store intermediate\n        # values in \"cache\" for backpropagation.\n\n        # Compute sample mean for each feature.\n        xmean = x.mean(axis=0)\n\n        xmean_diff = x - xmean\n\n        xmean_diff_square = xmean_diff**2\n\n        # Compute sample variance for each feature.\n        xvar = xmean_diff_square.mean(axis=0)\n\n        # Compute sample standard deviation for each feature.\n        xstd = np.sqrt(xvar + eps)\n\n        xstd_inv = 1 / xstd\n\n        # Normalize.\n        xhat = xmean_diff * xstd_inv\n\n        # Scale and shift.\n        out = gamma * xhat + beta\n\n        # Update 'running_mean' and 'running_var'.\n        running_mean = momentum * running_mean + (1 - momentum) * xmean\n        running_var = momentum * running_var + (1 - momentum) * xvar\n\n        # Save intermediates needed for the backward pass.\n        cache = {\n          'xmean_diff': xmean_diff,\n          'xvar': xvar,\n          'eps': eps,\n          'xstd': xstd,\n          'xstd_inv': xstd_inv,\n          'xhat': xhat,\n          'gamma': gamma,\n          'beta': beta\n        }\n\n        # *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n        #######################################################################\n        #                           END OF YOUR CODE                          #\n        #######################################################################\n    elif mode == \"test\":\n        #######################################################################\n        # TODO: Implement the test-time forward pass for batch normalization. #\n        # Use the running mean and variance to normalize the incoming data,   #\n        # then scale and shift the normalized data using gamma and beta.      #\n        # Store the result in the out variable.                               #\n        #######################################################################\n        # *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n\n        # Normalize using 'running_mean' and 'running_var'.\n        out = (x - running_mean) / (np.sqrt(running_var) + eps)\n\n        # Scale and shift.\n        out = gamma * out + beta\n\n        # *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n        #######################################################################\n        #                          END OF YOUR CODE                           #\n        #######################################################################\n    else:\n        raise ValueError('Invalid forward batchnorm mode \"%s\"' % mode)\n\n    # Store the updated running means back into bn_param\n    bn_param[\"running_mean\"] = running_mean\n    bn_param[\"running_var\"] = running_var\n\n    return out, cache\n\n\ndef batchnorm_backward(dout, cache):\n    \"\"\"\n    Backward pass for batch normalization.\n\n    For this implementation, you should write out a computation graph for\n    batch normalization on paper and propagate gradients backward through\n    intermediate nodes.\n\n    Inputs:\n    - dout: Upstream derivatives, of shape (N, D)\n    - cache: Variable of intermediates from batchnorm_forward.\n\n    Returns a tuple of:\n    - dx: Gradient with respect to inputs x, of shape (N, D)\n    - dgamma: Gradient with respect to scale parameter gamma, of shape (D,)\n    - dbeta: Gradient with respect to shift parameter beta, of shape (D,)\n    \"\"\"\n    dx, dgamma, dbeta = None, None, None\n    ###########################################################################\n    # TODO: Implement the backward pass for batch normalization. Store the    #\n    # results in the dx, dgamma, and dbeta variables.                         #\n    # Referencing the original paper (https://arxiv.org/abs/1502.03167)       #\n    # might prove to be helpful.                                              #\n    ###########################################################################\n    # *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n\n    # In order to fully understand the backward pass, computational graph of\n    # batch normalization layer must be drawn.\n\n    N, D = dout.shape\n\n    # Derivate from: out = xscaled * beta\n    dbeta = dout.sum(axis=0)\n\n    # Derivate from: xscaled = xhat * gamma\n    dgamma = dout * cache['xhat']\n    dgamma = dgamma.sum(axis=0)\n\n    # Derivate from: xscaled = xhat * gamma\n    d_xhat = dout * cache['gamma']\n\n    # Derivate from: xhat = xstd_inv * xmean_diff\n    d_xstd_inv = cache['xmean_diff'] * d_xhat\n    d_xstd_inv = d_xstd_inv.sum(axis=0)\n\n    # Derivate from: xstd_inv = 1 / xstd\n    d_xstd = (-1 / cache['xstd']**2) * d_xstd_inv\n\n    # Derivate from: xstd = sqrt(xvar + eps)\n    d_xvar = (1 / (2 * np.sqrt(cache['xvar'] + cache['eps']))) * d_xstd\n\n    # Derivate from: xvar = xmean_diff_square.mean(axis=0)\n    d_xmean_diff_square = d_xvar / N\n\n    # Derivate from: xmean_diff_square = xmean_diff ^ 2\n    d_xmean_diff_2 = (2 * cache['xmean_diff']) * d_xmean_diff_square\n\n    # Derivate from: xstd_inv * xmean_diff\n    d_xmean_diff_1 = cache['xstd_inv'] * d_xhat\n\n    # Sum the two derivates.\n    d_xmean_diff = d_xmean_diff_1 + d_xmean_diff_2\n\n    # Derivate from: d_xmean_diff = x - xmean\n    d_xmean = - d_xmean_diff.sum(axis=0)\n\n    # Derivate from: xmean = x.mean(axis=0)\n    d_x2 = d_xmean / N\n\n    # Derivate from: d_xmean_diff = x - xmean\n    d_x1 = d_xmean_diff\n\n    # Sum the two derivates.\n    dx = d_x1 + d_x2\n\n    # *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n    ###########################################################################\n    #                             END OF YOUR CODE                            #\n    ###########################################################################\n\n    return dx, dgamma, dbeta\n\n\ndef batchnorm_backward_alt(dout, cache):\n    \"\"\"\n    Alternative backward pass for batch normalization.\n\n    For this implementation you should work out the derivatives for the batch\n    normalizaton backward pass on paper and simplify as much as possible. You\n    should be able to derive a simple expression for the backward pass. \n    See the jupyter notebook for more hints.\n     \n    Note: This implementation should expect to receive the same cache variable\n    as batchnorm_backward, but might not use all of the values in the cache.\n\n    Inputs / outputs: Same as batchnorm_backward\n    \"\"\"\n    dx, dgamma, dbeta = None, None, None\n    ###########################################################################\n    # TODO: Implement the backward pass for batch normalization. Store the    #\n    # results in the dx, dgamma, and dbeta variables.                         #\n    #                                                                         #\n    # After computing the gradient with respect to the centered inputs, you   #\n    # should be able to compute gradients with respect to the inputs in a     #\n    # single statement; our implementation fits on a single 80-character line.#\n    ###########################################################################\n    # *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n\n    N, D = dout.shape\n\n    # Unpack needed intermediates\n    inv_var, xhat, gamma = cache['xstd_inv'], cache['xhat'], cache['gamma']\n\n    # Derivate from: out = xscaled * beta\n    dbeta = dout.sum(axis=0)\n\n    # Derivate from: xscaled = xhat * gamma\n    dgamma = np.sum(dout * xhat, axis=0)\n\n    # Derivate from: xscaled = xhat * gamma\n    d_xhat = dout * gamma\n\n    # Result formula from work-out the derivatives for the batch normalization\n    # backward pass on paper, including simplification.\n    dx = inv_var / N * \\\n        (N*d_xhat - d_xhat.sum(axis=0) - xhat*np.sum(d_xhat*xhat, axis=0))\n\n    # *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n    ###########################################################################\n    #                             END OF YOUR CODE                            #\n    ###########################################################################\n\n    return dx, dgamma, dbeta\n\n\ndef layernorm_forward(x, gamma, beta, ln_param):\n    \"\"\"\n    Forward pass for layer normalization.\n\n    During both training and test-time, the incoming data is normalized per data-point,\n    before being scaled by gamma and beta parameters identical to that of batch normalization.\n    \n    Note that in contrast to batch normalization, the behavior during train and test-time for\n    layer normalization are identical, and we do not need to keep track of running averages\n    of any sort.\n\n    Input:\n    - x: Data of shape (N, D)\n    - gamma: Scale parameter of shape (D,)\n    - beta: Shift paremeter of shape (D,)\n    - ln_param: Dictionary with the following keys:\n        - eps: Constant for numeric stability\n\n    Returns a tuple of:\n    - out: of shape (N, D)\n    - cache: A tuple of values needed in the backward pass\n    \"\"\"\n    out, cache = None, None\n    eps = ln_param.get(\"eps\", 1e-5)\n    ###########################################################################\n    # TODO: Implement the training-time forward pass for layer norm.          #\n    # Normalize the incoming data, and scale and  shift the normalized data   #\n    #  using gamma and beta.                                                  #\n    # HINT: this can be done by slightly modifying your training-time         #\n    # implementation of  batch normalization, and inserting a line or two of  #\n    # well-placed code. In particular, can you think of any matrix            #\n    # transformations you could perform, that would enable you to copy over   #\n    # the batch norm code and leave it almost unchanged?                      #\n    ###########################################################################\n    # *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n\n    # Layer normalization algorithm rewritten in the way to store intermediate\n    # values in \"cache\" for backpropagation.\n\n    # Compute the mean for each datapoint.\n    xmean = x.mean(axis=1, keepdims=True)\n\n    xmean_diff = x - xmean\n\n    xmean_diff_square = xmean_diff**2\n\n    # Compute the variance for each datapoint.\n    xvar = xmean_diff_square.mean(axis=1, keepdims=True)\n\n    # Compute the standard deviation for each datapoint.\n    xstd = np.sqrt(xvar + eps)\n\n    xstd_inv = 1 / xstd\n\n    # Normalize.\n    xhat = xmean_diff * xstd_inv\n\n    # Scale and shift.\n    out = gamma * xhat + beta\n\n    # Save intermediates needed for the backward pass.\n    cache = {\n      'xstd_inv': xstd_inv,\n      'xhat': xhat,\n      'gamma': gamma\n    }\n\n    # *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n    ###########################################################################\n    #                             END OF YOUR CODE                            #\n    ###########################################################################\n    return out, cache\n\n\ndef layernorm_backward(dout, cache):\n    \"\"\"\n    Backward pass for layer normalization.\n\n    For this implementation, you can heavily rely on the work you've done already\n    for batch normalization.\n\n    Inputs:\n    - dout: Upstream derivatives, of shape (N, D)\n    - cache: Variable of intermediates from layernorm_forward.\n\n    Returns a tuple of:\n    - dx: Gradient with respect to inputs x, of shape (N, D)\n    - dgamma: Gradient with respect to scale parameter gamma, of shape (D,)\n    - dbeta: Gradient with respect to shift parameter beta, of shape (D,)\n    \"\"\"\n    dx, dgamma, dbeta = None, None, None\n    ###########################################################################\n    # TODO: Implement the backward pass for layer norm.                       #\n    #                                                                         #\n    # HINT: this can be done by slightly modifying your training-time         #\n    # implementation of batch normalization. The hints to the forward pass    #\n    # still apply!                                                            #\n    ###########################################################################\n    # *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n\n    N, D = dout.shape\n\n    # Unpack needed intermediates\n    inv_var, xhat, gamma = cache['xstd_inv'], cache['xhat'], cache['gamma']\n\n    # Derivate from: out = xscaled * beta\n    dbeta = dout.sum(axis=0)\n\n    # Derivate from: xscaled = xhat * gamma\n    dgamma = np.sum(dout * xhat, axis=0)\n\n    # Derivate from: xscaled = xhat * gamma\n    d_xhat = dout * gamma\n\n    # Formula obtained by slightly modifying the one used in 'batchnorm_backward_alt'\n    dx = inv_var / D * \\\n        (D*d_xhat - d_xhat.sum(axis=1, keepdims=True) - \\\n        xhat*np.sum(d_xhat*xhat, axis=1, keepdims=True))\n\n    # *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n    ###########################################################################\n    #                             END OF YOUR CODE                            #\n    ###########################################################################\n    return dx, dgamma, dbeta\n\n\ndef dropout_forward(x, dropout_param):\n    \"\"\"\n    Performs the forward pass for (inverted) dropout.\n\n    Inputs:\n    - x: Input data, of any shape\n    - dropout_param: A dictionary with the following keys:\n      - p: Dropout parameter. We keep each neuron output with probability p.\n      - mode: 'test' or 'train'. If the mode is train, then perform dropout;\n        if the mode is test, then just return the input.\n      - seed: Seed for the random number generator. Passing seed makes this\n        function deterministic, which is needed for gradient checking but not\n        in real networks.\n\n    Outputs:\n    - out: Array of the same shape as x.\n    - cache: tuple (dropout_param, mask). In training mode, mask is the dropout\n      mask that was used to multiply the input; in test mode, mask is None.\n\n    NOTE: Please implement **inverted** dropout, not the vanilla version of dropout.\n    See http://cs231n.github.io/neural-networks-2/#reg for more details.\n\n    NOTE 2: Keep in mind that p is the probability of **keep** a neuron\n    output; this might be contrary to some sources, where it is referred to\n    as the probability of dropping a neuron output.\n    \"\"\"\n    p, mode = dropout_param[\"p\"], dropout_param[\"mode\"]\n    if \"seed\" in dropout_param:\n        np.random.seed(dropout_param[\"seed\"])\n\n    mask = None\n    out = None\n\n    if mode == \"train\":\n        #######################################################################\n        # TODO: Implement training phase forward pass for inverted dropout.   #\n        # Store the dropout mask in the mask variable.                        #\n        #######################################################################\n        # *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n\n        mask = (np.random.rand(*x.shape) < p) / p\n        out = x * mask\n\n        # *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n        #######################################################################\n        #                           END OF YOUR CODE                          #\n        #######################################################################\n    elif mode == \"test\":\n        #######################################################################\n        # TODO: Implement the test phase forward pass for inverted dropout.   #\n        #######################################################################\n        # *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n\n        out = x\n\n        # *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n        #######################################################################\n        #                            END OF YOUR CODE                         #\n        #######################################################################\n\n    cache = (dropout_param, mask)\n    out = out.astype(x.dtype, copy=False)\n\n    return out, cache\n\n\ndef dropout_backward(dout, cache):\n    \"\"\"\n    Perform the backward pass for (inverted) dropout.\n\n    Inputs:\n    - dout: Upstream derivatives, of any shape\n    - cache: (dropout_param, mask) from dropout_forward.\n    \"\"\"\n    dropout_param, mask = cache\n    mode = dropout_param[\"mode\"]\n\n    dx = None\n    if mode == \"train\":\n        #######################################################################\n        # TODO: Implement training phase backward pass for inverted dropout   #\n        #######################################################################\n        # *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n\n        dx = mask * dout\n\n        # *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n        #######################################################################\n        #                          END OF YOUR CODE                           #\n        #######################################################################\n    elif mode == \"test\":\n        dx = dout\n    return dx\n\n\ndef conv_forward_naive(x, w, b, conv_param):\n    \"\"\"\n    A naive implementation of the forward pass for a convolutional layer.\n\n    The input consists of N data points, each with C channels, height H and\n    width W. We convolve each input with F different filters, where each filter\n    spans all C channels and has height HH and width WW.\n\n    Input:\n    - x: Input data of shape (N, C, H, W)\n    - w: Filter weights of shape (F, C, HH, WW)\n    - b: Biases, of shape (F,)\n    - conv_param: A dictionary with the following keys:\n      - 'stride': The number of pixels between adjacent receptive fields in the\n        horizontal and vertical directions.\n      - 'pad': The number of pixels that will be used to zero-pad the input. \n        \n\n    During padding, 'pad' zeros should be placed symmetrically (i.e equally on both sides)\n    along the height and width axes of the input. Be careful not to modfiy the original\n    input x directly.\n\n    Returns a tuple of:\n    - out: Output data, of shape (N, F, H', W') where H' and W' are given by\n      H' = 1 + (H + 2 * pad - HH) / stride\n      W' = 1 + (W + 2 * pad - WW) / stride\n    - cache: (x, w, b, conv_param)\n    \"\"\"\n    out = None\n    ###########################################################################\n    # TODO: Implement the convolutional forward pass.                         #\n    # Hint: you can use the function np.pad for padding.                      #\n    ###########################################################################\n    # *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n\n    # Unpack 'stride' and 'pad' values.\n    stride, pad = conv_param['stride'], conv_param['pad']\n\n    # Get different size information from 'x' and 'w'.\n    N, C, H, W = x.shape\n    F, _, HH, WW = w.shape\n\n    # Define padding filter: Pad only the width and height of each 'x' sample.\n    npad = ((0, 0), (0, 0), (pad, pad), (pad, pad))\n    # Apply the padding filter to 'x'.\n    xpad = np.pad(x, npad)\n\n    # Compute H' and W'.\n    Hprime = int(1 + (H + 2 * pad - HH) / stride)\n    Wprime = int(1 + (W + 2 * pad - WW) / stride)\n\n    # Initialize the output.\n    out = np.zeros((N, F, Hprime, Wprime))\n\n    # Maximum start point in width and height from which the convolution\n    # can be applied, to not exceed 'x' datapoints size.\n    Hmax_xpad = 1 + (H + 2 * pad - HH)\n    Wmax_xpad = 1 + (W + 2 * pad - WW)\n\n    # Loop over all datapoints (samples).\n    # Track current sample number (xnum) and the sample itself (xsample).\n    for xnum, xsample in enumerate(xpad):\n      # Loop over all weights (filters).\n      # Track current filter number (wnum) and the filter itself (wfilter).\n      for wnum, wfilter in enumerate(w):\n        # Loop over 'xsample' width, where the convolution can be applied.\n        # Take into account the padding, move per 'stride'.\n        for iout, i in enumerate(range(0, Hmax_xpad, stride)):\n          # Loop over 'xsample' height, where the convolution can be applied.\n          # Take into account the padding, move per 'stride'.\n          for jout, j in enumerate(range(0, Wmax_xpad, stride)):\n            # 'xsample' part on which 'wfilter' will be applied.\n            xpart = xsample[:, i:i+HH, j:j+WW]\n            # Apply the convolution 'wfilter' on 'xpart', and add the bias.\n            out[xnum, wnum, iout, jout] = (wfilter * xpart).sum() + b[wnum]\n\n    # *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n    ###########################################################################\n    #                             END OF YOUR CODE                            #\n    ###########################################################################\n    cache = (x, w, b, conv_param)\n    return out, cache\n\n\ndef conv_backward_naive(dout, cache):\n    \"\"\"\n    A naive implementation of the backward pass for a convolutional layer.\n\n    Inputs:\n    - dout: Upstream derivatives.\n    - cache: A tuple of (x, w, b, conv_param) as in conv_forward_naive\n\n    Returns a tuple of:\n    - dx: Gradient with respect to x\n    - dw: Gradient with respect to w\n    - db: Gradient with respect to b\n    \"\"\"\n    dx, dw, db = None, None, None\n    ###########################################################################\n    # TODO: Implement the convolutional backward pass.                        #\n    ###########################################################################\n    # *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n\n    x, w, b, conv_param = cache\n\n    # Get different size information from 'x', 'w' and 'dout'.\n    N, C, H, W = x.shape\n    F, _, HH, WW = w.shape\n    _, _, Hprime, Wprime = dout.shape\n\n    # Unpack 'stride' and 'pad' values.\n    stride, pad = conv_param['stride'], conv_param['pad']\n\n    # Initialize 'dx', 'dw' and 'db'.\n    dx, dw, db = np.zeros(x.shape), np.zeros(w.shape), np.zeros(b.shape)\n\n    # Define padding filter: Pad only the width and height of each 'dx' sample.\n    npad = ((0, 0), (0, 0), (pad, pad), (pad, pad))\n    # Apply the padding filter to 'dx', as 'out' was computed using padded 'x'.\n    dxpad = np.pad(dx, npad)\n    # Apply the padding filter to 'x', which will be used to compute 'dw'.\n    xpad = np.pad(x, npad)\n\n    # Maximum start point in width and height from which the convolution\n    # can be applied, to not exceed the 'dx' size.\n    Hmax_xpad = 1 + (H + 2 * pad - HH)\n    Wmax_xpad = 1 + (W + 2 * pad - WW)\n\n    # Loop over the output (result of application of the convolutional \n    # filters on 'x') derivative. Track datapoint number (xnum) to which \n    # current output derivate (xdout) belongs.\n    for xnum, xdout in enumerate(dout):\n      # Loop over 'xdout'.\n      for dnum, dfilter in enumerate(xdout):\n        # Loop over 'dfilter' lines (height).\n        for i, idx in enumerate(range(0, Hmax_xpad, stride)):\n          # Loop over 'xsample' height, where the convolution can be applied.\n          # Take into account the padding, move per 'stride'.\n          for j, jdx in enumerate(range(0, Wmax_xpad, stride)):\n            # Get the current 'dfilter' value.\n            dfilterval = dfilter[i, j]\n            # Update 'db', 'dxpad' and 'dw'.\n            db[dnum] += dfilterval\n            # Note that we update 'dxpad' instead of 'dx'.\n            dxpad[xnum, :, idx:idx+HH, jdx:jdx+WW] += w[dnum, ...] * dfilterval\n            # Note that we update 'dw' using 'xpad' instead of 'x'.\n            dw[dnum, ...] += xpad[xnum, :, idx:idx+HH, jdx:jdx+WW] * dfilterval\n\n    # Shrink the padding from 'dx' lines/columns, in order to match 'x' size.\n    dx = dxpad[..., pad:-pad, pad:-pad]\n\n    # *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n    ###########################################################################\n    #                             END OF YOUR CODE                            #\n    ###########################################################################\n    return dx, dw, db\n\n\ndef max_pool_forward_naive(x, pool_param):\n    \"\"\"\n    A naive implementation of the forward pass for a max-pooling layer.\n\n    Inputs:\n    - x: Input data, of shape (N, C, H, W)\n    - pool_param: dictionary with the following keys:\n      - 'pool_height': The height of each pooling region\n      - 'pool_width': The width of each pooling region\n      - 'stride': The distance between adjacent pooling regions\n\n    No padding is necessary here. Output size is given by \n\n    Returns a tuple of:\n    - out: Output data, of shape (N, C, H', W') where H' and W' are given by\n      H' = 1 + (H - pool_height) / stride\n      W' = 1 + (W - pool_width) / stride\n    - cache: (x, pool_param)\n    \"\"\"\n    out = None\n    ###########################################################################\n    # TODO: Implement the max-pooling forward pass                            #\n    ###########################################################################\n    # *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n\n    # Unpack max-pooling layer parameters: 'width', 'height' and 'stride'.\n    pool_width, pool_height = pool_param['pool_width'], pool_param['pool_height']\n    stride = pool_param['stride']\n\n    # Get different size information from 'x'.\n    N, C, H, W = x.shape\n\n    # Compute H' and W'.\n    Hprime = int(1 + (H - pool_height) / stride)\n    Wprime = int(1 + (W - pool_width) / stride)\n\n    # Initialize the output.\n    out = np.zeros((N, C, Hprime, Wprime))\n\n    # Maximum start point in width and height from which the max-pooling\n    # can be applied, to not exceed 'x' datapoints size.\n    Hmaxx = 1 + (H - pool_height)\n    Wmaxx = 1 + (W - pool_width)\n\n    # Loop over all datapoints (samples).\n    # Track current sample number (xnum) and the sample itself (xsample).\n    for xnum, xsample in enumerate(x):\n      # Loop over all channels.\n      # Track current channel number (cnum) and the channel itself (channel).\n      for cnum, channel in enumerate(xsample):\n        # Loop over 'channel' width, where the max-pooling can be applied.\n        for iout, i in enumerate(range(0, Hmaxx, stride)):\n          # Loop over 'channel' height, where the max-pooling can be applied.\n          for jout, j in enumerate(range(0, Wmaxx, stride)):\n            # 'channel' part on which max-pooling will be applied.\n            chpart = channel[i:i+pool_height, j:j+pool_width]\n            # Get the maximum value in 'chpart'\n            out[xnum, cnum, iout, jout] = chpart.max()\n\n    # *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n    ###########################################################################\n    #                             END OF YOUR CODE                            #\n    ###########################################################################\n    cache = (x, pool_param)\n    return out, cache\n\n\ndef max_pool_backward_naive(dout, cache):\n    \"\"\"\n    A naive implementation of the backward pass for a max-pooling layer.\n\n    Inputs:\n    - dout: Upstream derivatives\n    - cache: A tuple of (x, pool_param) as in the forward pass.\n\n    Returns:\n    - dx: Gradient with respect to x\n    \"\"\"\n    dx = None\n    ###########################################################################\n    # TODO: Implement the max-pooling backward pass                           #\n    ###########################################################################\n    # *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n\n    # Unpack max-pooling layer cache.\n    x, pool_param = cache\n\n    # Unpack max-pooling layer parameters: 'width', 'height' and 'stride'.\n    pool_width, pool_height = pool_param['pool_width'], pool_param['pool_height']\n    stride = pool_param['stride']\n\n    # Get different size information from 'x'.\n    N, C, H, W = x.shape\n\n    # Compute H' and W'.\n    Hprime = int(1 + (H - pool_height) / stride)\n    Wprime = int(1 + (W - pool_width) / stride)\n\n    # Initialize 'dx' (which has the same shape as 'x').\n    dx = np.zeros(x.shape)\n\n    # Maximum start point in width and height, to not exceed 'x' datapoints size.\n    Hmaxx = 1 + (H - pool_height)\n    Wmaxx = 1 + (W - pool_width)\n\n    # Loop over all datapoints (samples).\n    # Track current sample number (xnum) and the sample itself (xsample).\n    for xnum, xsample in enumerate(x):\n      # Loop over all channels.\n      # Track current channel number (cnum) and the channel itself (channel).\n      for cnum, channel in enumerate(xsample):\n        # Loop over 'channel' width.\n        for idout, i in enumerate(range(0, Hmaxx, stride)):\n          # Loop over 'channel' height.\n          for jdout, j in enumerate(range(0, Wmaxx, stride)):\n            # 'channel' part from which the maximum coordinates will be retrieved.\n            chpart = channel[i:i+pool_height, j:j+pool_width]\n            # Get the maximum coordinates: Line (maxln) and column (maxcol)\n            maxln, maxcol = np.unravel_index(np.argmax(chpart), chpart.shape)\n            # Assign the current maximum from 'dout' to 'dx', based on\n            # the 'maximum coordinates' retrieved previously.\n            dx[xnum, cnum, i+maxln, j+maxcol] = dout[xnum, cnum, idout, jdout]\n\n    # *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n    ###########################################################################\n    #                             END OF YOUR CODE                            #\n    ###########################################################################\n    return dx\n\n\ndef spatial_batchnorm_forward(x, gamma, beta, bn_param):\n    \"\"\"\n    Computes the forward pass for spatial batch normalization.\n\n    Inputs:\n    - x: Input data of shape (N, C, H, W)\n    - gamma: Scale parameter, of shape (C,)\n    - beta: Shift parameter, of shape (C,)\n    - bn_param: Dictionary with the following keys:\n      - mode: 'train' or 'test'; required\n      - eps: Constant for numeric stability\n      - momentum: Constant for running mean / variance. momentum=0 means that\n        old information is discarded completely at every time step, while\n        momentum=1 means that new information is never incorporated. The\n        default of momentum=0.9 should work well in most situations.\n      - running_mean: Array of shape (D,) giving running mean of features\n      - running_var Array of shape (D,) giving running variance of features\n\n    Returns a tuple of:\n    - out: Output data, of shape (N, C, H, W)\n    - cache: Values needed for the backward pass\n    \"\"\"\n    out, cache = None, None\n\n    ###########################################################################\n    # TODO: Implement the forward pass for spatial batch normalization.       #\n    #                                                                         #\n    # HINT: You can implement spatial batch normalization by calling the      #\n    # vanilla version of batch normalization you implemented above.           #\n    # Your implementation should be very short; ours is less than five lines. #\n    ###########################################################################\n    # *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n\n    # N, C, H, W = Datapoints, Channels, Height, Width\n    N, C, H, W = x.shape\n\n    # Transpose 'x', from (N, C, H, W) shape to (N, H, W, C). Then, reshape it\n    # to (N*H*W, C). That is, forward Spatial BN is applied per color channel.\n    x = x.transpose(0, 2, 3, 1).reshape(N*H*W, C)\n\n    out, cache = batchnorm_forward(x, gamma, beta, bn_param)\n\n    # Reshape and transpose 'out' to match the 'x' shape.\n    out = out.reshape(N, H, W, C).transpose(0, 3, 1, 2)\n\n    # *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n    ###########################################################################\n    #                             END OF YOUR CODE                            #\n    ###########################################################################\n\n    return out, cache\n\n\ndef spatial_batchnorm_backward(dout, cache):\n    \"\"\"\n    Computes the backward pass for spatial batch normalization.\n\n    Inputs:\n    - dout: Upstream derivatives, of shape (N, C, H, W)\n    - cache: Values from the forward pass\n\n    Returns a tuple of:\n    - dx: Gradient with respect to inputs, of shape (N, C, H, W)\n    - dgamma: Gradient with respect to scale parameter, of shape (C,)\n    - dbeta: Gradient with respect to shift parameter, of shape (C,)\n    \"\"\"\n    dx, dgamma, dbeta = None, None, None\n\n    ###########################################################################\n    # TODO: Implement the backward pass for spatial batch normalization.      #\n    #                                                                         #\n    # HINT: You can implement spatial batch normalization by calling the      #\n    # vanilla version of batch normalization you implemented above.           #\n    # Your implementation should be very short; ours is less than five lines. #\n    ###########################################################################\n    # *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n\n    N, C, H, W = dout.shape\n\n    # Transpose 'dout', from (N, C, H, W) shape to (N, H, W, C). Then, reshape it\n    # to (N*H*W, C). That is, backward Spatial BN is applied per color channel.\n    dout = dout.transpose(0, 2, 3, 1).reshape(N*H*W, C)\n\n    dx, dgamma, dbeta = batchnorm_backward_alt(dout, cache)\n\n    # Reshape and transpose 'dx' to match the 'dout' shape.\n    dx = dx.reshape(N, H, W, C).transpose(0, 3, 1, 2)\n\n    # *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n    ###########################################################################\n    #                             END OF YOUR CODE                            #\n    ###########################################################################\n\n    return dx, dgamma, dbeta\n\n\ndef spatial_groupnorm_forward(x, gamma, beta, G, gn_param):\n    \"\"\"\n    Computes the forward pass for spatial group normalization.\n    In contrast to layer normalization, group normalization splits each entry \n    in the data into G contiguous pieces, which it then normalizes independently.\n    Per feature shifting and scaling are then applied to the data, in a manner identical to that of batch normalization and layer normalization.\n\n    Inputs:\n    - x: Input data of shape (N, C, H, W)\n    - gamma: Scale parameter, of shape (C,)\n    - beta: Shift parameter, of shape (C,)\n    - G: Integer mumber of groups to split into, should be a divisor of C\n    - gn_param: Dictionary with the following keys:\n      - eps: Constant for numeric stability\n\n    Returns a tuple of:\n    - out: Output data, of shape (N, C, H, W)\n    - cache: Values needed for the backward pass\n    \"\"\"\n    out, cache = None, None\n    eps = gn_param.get(\"eps\", 1e-5)\n    ###########################################################################\n    # TODO: Implement the forward pass for spatial group normalization.       #\n    # This will be extremely similar to the layer norm implementation.        #\n    # In particular, think about how you could transform the matrix so that   #\n    # the bulk of the code is similar to both train-time batch normalization  #\n    # and layer normalization!                                                #\n    ###########################################################################\n    # *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n\n    N, C, H, W = x.shape\n\n    # In spatial group norm, channels (with their height and width) are\n    # devided into groups, each one contains C/G channels (integer value).\n    # So, each group ('elsgrp') contains C/G channels with their H and W.\n    elsgrp = C//G * H * W\n\n    # Reshape 'x' to match the logic behind the spatial group norm.\n    # Note that in the original implementation (https://arxiv.org/abs/1803.08494),\n    # 'x' was reshaped into (N, G, C//G, H, W), however, my implementation is also\n    # correct. It allows to lighten per-axis mean computations, as we perform it on\n    # the 2nd axis only, instead of (2, 3, 4) as in the original implementation.\n    x = x.reshape([N, G, elsgrp])\n\n    # Compute the mean for each group.\n    xmean = x.mean(axis=2, keepdims=True)\n\n    xmean_diff = x - xmean\n\n    xmean_diff_square = xmean_diff**2\n\n    # Compute the variance for each group.\n    xvar = xmean_diff_square.mean(axis=2, keepdims=True)\n\n    # Compute the standard deviation for each group.\n    xstd = np.sqrt(xvar + eps)\n\n    xstd_inv = 1 / xstd\n\n    # Normalize.\n    xhat = xmean_diff * xstd_inv\n\n    # Reshape 'xhat' to its original shape, from (N, G, elsgrp) to (N, C, H, W).\n    xhat = xhat.reshape(N, C, H, W)\n\n    # Scale and shift.\n    out = gamma * xhat + beta\n\n    cache = {\n      'G': G,\n      'xstd_inv': xstd_inv,\n      'xhat': xhat,\n      'gamma': gamma\n    }\n\n    # *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n    ###########################################################################\n    #                             END OF YOUR CODE                            #\n    ###########################################################################\n    return out, cache\n\n\ndef spatial_groupnorm_backward(dout, cache):\n    \"\"\"\n    Computes the backward pass for spatial group normalization.\n\n    Inputs:\n    - dout: Upstream derivatives, of shape (N, C, H, W)\n    - cache: Values from the forward pass\n\n    Returns a tuple of:\n    - dx: Gradient with respect to inputs, of shape (N, C, H, W)\n    - dgamma: Gradient with respect to scale parameter, of shape (C,)\n    - dbeta: Gradient with respect to shift parameter, of shape (C,)\n    \"\"\"\n    dx, dgamma, dbeta = None, None, None\n\n    ###########################################################################\n    # TODO: Implement the backward pass for spatial group normalization.      #\n    # This will be extremely similar to the layer norm implementation.        #\n    ###########################################################################\n    # *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n\n    N, C, H, W = dout.shape\n\n    # Unpack needed intermediates\n    inv_var, xhat, gamma = cache['xstd_inv'], cache['xhat'], cache['gamma']\n    G = cache['G']\n\n    # Derivate from: out = xscaled * beta\n    dbeta = dout.sum(axis=(0, 2, 3), keepdims=True)\n\n    # Derivate from: xscaled = xhat * gamma\n    dgamma = np.sum(dout * xhat, axis=(0, 2, 3), keepdims=True)\n\n    # Derivate from: xscaled = xhat * gamma\n    d_xhat = dout * gamma\n\n    # Similarly to the forward pass, compute number of elements per group.\n    elsgrp = C//G * H * W\n\n    # Similarly to the forward pass, reshape 'xhat' and 'd_xhat' to match the logic\n    # behind spatial group norm.\n    xhat = xhat.reshape([N, G, elsgrp])\n    d_xhat = d_xhat.reshape([N, G, elsgrp])\n\n    # Formula obtained by slightly modifying the one used in 'layernorm_backward'\n    dx = inv_var / elsgrp * \\\n        (elsgrp*d_xhat - d_xhat.sum(axis=2, keepdims=True) - \\\n        xhat*np.sum(d_xhat*xhat, axis=2, keepdims=True))\n\n    # Reshape 'dx' to match original 'x' shape, from (N, G, elsgrp) to (N, C, H, W).\n    dx = dx.reshape(N, C, H, W)\n\n    # *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n    ###########################################################################\n    #                             END OF YOUR CODE                            #\n    ###########################################################################\n    return dx, dgamma, dbeta\n\n\ndef svm_loss(x, y):\n    \"\"\"\n    Computes the loss and gradient using for multiclass SVM classification.\n\n    Inputs:\n    - x: Input data, of shape (N, C) where x[i, j] is the score for the jth\n      class for the ith input.\n    - y: Vector of labels, of shape (N,) where y[i] is the label for x[i] and\n      0 <= y[i] < C\n\n    Returns a tuple of:\n    - loss: Scalar giving the loss\n    - dx: Gradient of the loss with respect to x\n    \"\"\"\n    N = x.shape[0]\n    correct_class_scores = x[np.arange(N), y]\n    margins = np.maximum(0, x - correct_class_scores[:, np.newaxis] + 1.0)\n    margins[np.arange(N), y] = 0\n    loss = np.sum(margins) / N\n    num_pos = np.sum(margins > 0, axis=1)\n    dx = np.zeros_like(x)\n    dx[margins > 0] = 1\n    dx[np.arange(N), y] -= num_pos\n    dx /= N\n    return loss, dx\n\n\ndef softmax_loss(x, y):\n    \"\"\"\n    Computes the loss and gradient for softmax classification.\n\n    Inputs:\n    - x: Input data, of shape (N, C) where x[i, j] is the score for the jth\n      class for the ith input.\n    - y: Vector of labels, of shape (N,) where y[i] is the label for x[i] and\n      0 <= y[i] < C\n\n    Returns a tuple of:\n    - loss: Scalar giving the loss\n    - dx: Gradient of the loss with respect to x\n    \"\"\"\n    shifted_logits = x - np.max(x, axis=1, keepdims=True)\n    Z = np.sum(np.exp(shifted_logits), axis=1, keepdims=True)\n    log_probs = shifted_logits - np.log(Z)\n    probs = np.exp(log_probs)\n    N = x.shape[0]\n    loss = -np.sum(log_probs[np.arange(N), y]) / N\n    dx = probs.copy()\n    dx[np.arange(N), y] -= 1\n    dx /= N\n    return loss, dx\n"
  },
  {
    "path": "cs231n/assignment2/cs231n/optim.py",
    "content": "import numpy as np\n\n\"\"\"\nThis file implements various first-order update rules that are commonly used\nfor training neural networks. Each update rule accepts current weights and the\ngradient of the loss with respect to those weights and produces the next set of\nweights. Each update rule has the same interface:\n\ndef update(w, dw, config=None):\n\nInputs:\n  - w: A numpy array giving the current weights.\n  - dw: A numpy array of the same shape as w giving the gradient of the\n    loss with respect to w.\n  - config: A dictionary containing hyperparameter values such as learning\n    rate, momentum, etc. If the update rule requires caching values over many\n    iterations, then config will also hold these cached values.\n\nReturns:\n  - next_w: The next point after the update.\n  - config: The config dictionary to be passed to the next iteration of the\n    update rule.\n\nNOTE: For most update rules, the default learning rate will probably not\nperform well; however the default values of the other hyperparameters should\nwork well for a variety of different problems.\n\nFor efficiency, update rules may perform in-place updates, mutating w and\nsetting next_w equal to w.\n\"\"\"\n\n\ndef sgd(w, dw, config=None):\n    \"\"\"\n    Performs vanilla stochastic gradient descent.\n\n    config format:\n    - learning_rate: Scalar learning rate.\n    \"\"\"\n    if config is None:\n        config = {}\n    config.setdefault(\"learning_rate\", 1e-2)\n\n    w -= config[\"learning_rate\"] * dw\n    return w, config\n\n\ndef sgd_momentum(w, dw, config=None):\n    \"\"\"\n    Performs stochastic gradient descent with momentum.\n\n    config format:\n    - learning_rate: Scalar learning rate.\n    - momentum: Scalar between 0 and 1 giving the momentum value.\n      Setting momentum = 0 reduces to sgd.\n    - velocity: A numpy array of the same shape as w and dw used to store a\n      moving average of the gradients.\n    \"\"\"\n    if config is None:\n        config = {}\n    config.setdefault(\"learning_rate\", 1e-2)\n    config.setdefault(\"momentum\", 0.9)\n    v = config.get(\"velocity\", np.zeros_like(w))\n\n    next_w = None\n    ###########################################################################\n    # TODO: Implement the momentum update formula. Store the updated value in #\n    # the next_w variable. You should also use and update the velocity v.     #\n    ###########################################################################\n    # *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n\n    v = config[\"momentum\"] * v - config[\"learning_rate\"] * dw\n    next_w = w + v\n\n    # *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n    ###########################################################################\n    #                             END OF YOUR CODE                            #\n    ###########################################################################\n    config[\"velocity\"] = v\n\n    return next_w, config\n\n\ndef rmsprop(w, dw, config=None):\n    \"\"\"\n    Uses the RMSProp update rule, which uses a moving average of squared\n    gradient values to set adaptive per-parameter learning rates.\n\n    config format:\n    - learning_rate: Scalar learning rate.\n    - decay_rate: Scalar between 0 and 1 giving the decay rate for the squared\n      gradient cache.\n    - epsilon: Small scalar used for smoothing to avoid dividing by zero.\n    - cache: Moving average of second moments of gradients.\n    \"\"\"\n    if config is None:\n        config = {}\n    config.setdefault(\"learning_rate\", 1e-2)\n    config.setdefault(\"decay_rate\", 0.99)\n    config.setdefault(\"epsilon\", 1e-8)\n    config.setdefault(\"cache\", np.zeros_like(w))\n\n    next_w = None\n    ###########################################################################\n    # TODO: Implement the RMSprop update formula, storing the next value of w #\n    # in the next_w variable. Don't forget to update cache value stored in    #\n    # config['cache'].                                                        #\n    ###########################################################################\n    # *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n\n    # Each equation was written in two lines (note \"\\\" in the end) for readability.\n    config[\"cache\"] = config[\"decay_rate\"] * config[\"cache\"] \\\n                      + (1 - config[\"decay_rate\"]) * dw**2\n\n    next_w = w - config[\"learning_rate\"] * dw \\\n              / (np.sqrt(config[\"cache\"]) + config[\"epsilon\"])\n\n    # *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n    ###########################################################################\n    #                             END OF YOUR CODE                            #\n    ###########################################################################\n\n    return next_w, config\n\n\ndef adam(w, dw, config=None):\n    \"\"\"\n    Uses the Adam update rule, which incorporates moving averages of both the\n    gradient and its square and a bias correction term.\n\n    config format:\n    - learning_rate: Scalar learning rate.\n    - beta1: Decay rate for moving average of first moment of gradient.\n    - beta2: Decay rate for moving average of second moment of gradient.\n    - epsilon: Small scalar used for smoothing to avoid dividing by zero.\n    - m: Moving average of gradient.\n    - v: Moving average of squared gradient.\n    - t: Iteration number.\n    \"\"\"\n    if config is None:\n        config = {}\n    config.setdefault(\"learning_rate\", 1e-3)\n    config.setdefault(\"beta1\", 0.9)\n    config.setdefault(\"beta2\", 0.999)\n    config.setdefault(\"epsilon\", 1e-8)\n    config.setdefault(\"m\", np.zeros_like(w))\n    config.setdefault(\"v\", np.zeros_like(w))\n    config.setdefault(\"t\", 0)\n\n    next_w = None\n    ###########################################################################\n    # TODO: Implement the Adam update formula, storing the next value of w in #\n    # the next_w variable. Don't forget to update the m, v, and t variables   #\n    # stored in config.                                                       #\n    #                                                                         #\n    # NOTE: In order to match the reference output, please modify t _before_  #\n    # using it in any calculations.                                           #\n    ###########################################################################\n    # *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n\n    # Increment iteration counter.\n    config[\"t\"] += 1\n\n    config[\"m\"] = config[\"beta1\"]*config[\"m\"] + (1-config[\"beta1\"])*dw\n    mt = config[\"m\"] / (1-config[\"beta1\"]**config[\"t\"])\n    config[\"v\"] = config[\"beta2\"]*config[\"v\"] + (1-config[\"beta2\"])*(dw**2)\n    vt = config[\"v\"] / (1-config[\"beta2\"]**config[\"t\"])\n    next_w = w - config[\"learning_rate\"] * mt / (np.sqrt(vt) + config[\"epsilon\"])\n\n    # *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n    ###########################################################################\n    #                             END OF YOUR CODE                            #\n    ###########################################################################\n\n    return next_w, config\n"
  },
  {
    "path": "cs231n/assignment2/cs231n/setup.py",
    "content": "from distutils.core import setup\nfrom distutils.extension import Extension\nfrom Cython.Build import cythonize\nimport numpy\n\nextensions = [\n    Extension(\n        \"im2col_cython\", [\"im2col_cython.pyx\"], include_dirs=[numpy.get_include()]\n    ),\n]\n\nsetup(ext_modules=cythonize(extensions),)\n"
  },
  {
    "path": "cs231n/assignment2/cs231n/solver.py",
    "content": "from __future__ import print_function, division\nfrom future import standard_library\n\nstandard_library.install_aliases()\nfrom builtins import range\nfrom builtins import object\nimport os\nimport pickle as pickle\n\nimport numpy as np\n\nfrom cs231n import optim\n\n\nclass Solver(object):\n    \"\"\"\n    A Solver encapsulates all the logic necessary for training classification\n    models. The Solver performs stochastic gradient descent using different\n    update rules defined in optim.py.\n\n    The solver accepts both training and validataion data and labels so it can\n    periodically check classification accuracy on both training and validation\n    data to watch out for overfitting.\n\n    To train a model, you will first construct a Solver instance, passing the\n    model, dataset, and various options (learning rate, batch size, etc) to the\n    constructor. You will then call the train() method to run the optimization\n    procedure and train the model.\n\n    After the train() method returns, model.params will contain the parameters\n    that performed best on the validation set over the course of training.\n    In addition, the instance variable solver.loss_history will contain a list\n    of all losses encountered during training and the instance variables\n    solver.train_acc_history and solver.val_acc_history will be lists of the\n    accuracies of the model on the training and validation set at each epoch.\n\n    Example usage might look something like this:\n\n    data = {\n      'X_train': # training data\n      'y_train': # training labels\n      'X_val': # validation data\n      'y_val': # validation labels\n    }\n    model = MyAwesomeModel(hidden_size=100, reg=10)\n    solver = Solver(model, data,\n                    update_rule='sgd',\n                    optim_config={\n                      'learning_rate': 1e-3,\n                    },\n                    lr_decay=0.95,\n                    num_epochs=10, batch_size=100,\n                    print_every=100)\n    solver.train()\n\n\n    A Solver works on a model object that must conform to the following API:\n\n    - model.params must be a dictionary mapping string parameter names to numpy\n      arrays containing parameter values.\n\n    - model.loss(X, y) must be a function that computes training-time loss and\n      gradients, and test-time classification scores, with the following inputs\n      and outputs:\n\n      Inputs:\n      - X: Array giving a minibatch of input data of shape (N, d_1, ..., d_k)\n      - y: Array of labels, of shape (N,) giving labels for X where y[i] is the\n        label for X[i].\n\n      Returns:\n      If y is None, run a test-time forward pass and return:\n      - scores: Array of shape (N, C) giving classification scores for X where\n        scores[i, c] gives the score of class c for X[i].\n\n      If y is not None, run a training time forward and backward pass and\n      return a tuple of:\n      - loss: Scalar giving the loss\n      - grads: Dictionary with the same keys as self.params mapping parameter\n        names to gradients of the loss with respect to those parameters.\n    \"\"\"\n\n    def __init__(self, model, data, **kwargs):\n        \"\"\"\n        Construct a new Solver instance.\n\n        Required arguments:\n        - model: A model object conforming to the API described above\n        - data: A dictionary of training and validation data containing:\n          'X_train': Array, shape (N_train, d_1, ..., d_k) of training images\n          'X_val': Array, shape (N_val, d_1, ..., d_k) of validation images\n          'y_train': Array, shape (N_train,) of labels for training images\n          'y_val': Array, shape (N_val,) of labels for validation images\n\n        Optional arguments:\n        - update_rule: A string giving the name of an update rule in optim.py.\n          Default is 'sgd'.\n        - optim_config: A dictionary containing hyperparameters that will be\n          passed to the chosen update rule. Each update rule requires different\n          hyperparameters (see optim.py) but all update rules require a\n          'learning_rate' parameter so that should always be present.\n        - lr_decay: A scalar for learning rate decay; after each epoch the\n          learning rate is multiplied by this value.\n        - batch_size: Size of minibatches used to compute loss and gradient\n          during training.\n        - num_epochs: The number of epochs to run for during training.\n        - print_every: Integer; training losses will be printed every\n          print_every iterations.\n        - verbose: Boolean; if set to false then no output will be printed\n          during training.\n        - num_train_samples: Number of training samples used to check training\n          accuracy; default is 1000; set to None to use entire training set.\n        - num_val_samples: Number of validation samples to use to check val\n          accuracy; default is None, which uses the entire validation set.\n        - checkpoint_name: If not None, then save model checkpoints here every\n          epoch.\n        \"\"\"\n        self.model = model\n        self.X_train = data[\"X_train\"]\n        self.y_train = data[\"y_train\"]\n        self.X_val = data[\"X_val\"]\n        self.y_val = data[\"y_val\"]\n\n        # Unpack keyword arguments\n        self.update_rule = kwargs.pop(\"update_rule\", \"sgd\")\n        self.optim_config = kwargs.pop(\"optim_config\", {})\n        self.lr_decay = kwargs.pop(\"lr_decay\", 1.0)\n        self.batch_size = kwargs.pop(\"batch_size\", 100)\n        self.num_epochs = kwargs.pop(\"num_epochs\", 10)\n        self.num_train_samples = kwargs.pop(\"num_train_samples\", 1000)\n        self.num_val_samples = kwargs.pop(\"num_val_samples\", None)\n\n        self.checkpoint_name = kwargs.pop(\"checkpoint_name\", None)\n        self.print_every = kwargs.pop(\"print_every\", 10)\n        self.verbose = kwargs.pop(\"verbose\", True)\n\n        # Throw an error if there are extra keyword arguments\n        if len(kwargs) > 0:\n            extra = \", \".join('\"%s\"' % k for k in list(kwargs.keys()))\n            raise ValueError(\"Unrecognized arguments %s\" % extra)\n\n        # Make sure the update rule exists, then replace the string\n        # name with the actual function\n        if not hasattr(optim, self.update_rule):\n            raise ValueError('Invalid update_rule \"%s\"' % self.update_rule)\n        self.update_rule = getattr(optim, self.update_rule)\n\n        self._reset()\n\n    def _reset(self):\n        \"\"\"\n        Set up some book-keeping variables for optimization. Don't call this\n        manually.\n        \"\"\"\n        # Set up some variables for book-keeping\n        self.epoch = 0\n        self.best_val_acc = 0\n        self.best_params = {}\n        self.loss_history = []\n        self.train_acc_history = []\n        self.val_acc_history = []\n\n        # Make a deep copy of the optim_config for each parameter\n        self.optim_configs = {}\n        for p in self.model.params:\n            d = {k: v for k, v in self.optim_config.items()}\n            self.optim_configs[p] = d\n\n    def _step(self):\n        \"\"\"\n        Make a single gradient update. This is called by train() and should not\n        be called manually.\n        \"\"\"\n        # Make a minibatch of training data\n        num_train = self.X_train.shape[0]\n        batch_mask = np.random.choice(num_train, self.batch_size)\n        X_batch = self.X_train[batch_mask]\n        y_batch = self.y_train[batch_mask]\n\n        # Compute loss and gradient\n        loss, grads = self.model.loss(X_batch, y_batch)\n        self.loss_history.append(loss)\n\n        # Perform a parameter update\n        for p, w in self.model.params.items():\n            dw = grads[p]\n            config = self.optim_configs[p]\n            next_w, next_config = self.update_rule(w, dw, config)\n            self.model.params[p] = next_w\n            self.optim_configs[p] = next_config\n\n    def _save_checkpoint(self):\n        if self.checkpoint_name is None:\n            return\n        checkpoint = {\n            \"model\": self.model,\n            \"update_rule\": self.update_rule,\n            \"lr_decay\": self.lr_decay,\n            \"optim_config\": self.optim_config,\n            \"batch_size\": self.batch_size,\n            \"num_train_samples\": self.num_train_samples,\n            \"num_val_samples\": self.num_val_samples,\n            \"epoch\": self.epoch,\n            \"loss_history\": self.loss_history,\n            \"train_acc_history\": self.train_acc_history,\n            \"val_acc_history\": self.val_acc_history,\n        }\n        filename = \"%s_epoch_%d.pkl\" % (self.checkpoint_name, self.epoch)\n        if self.verbose:\n            print('Saving checkpoint to \"%s\"' % filename)\n        with open(filename, \"wb\") as f:\n            pickle.dump(checkpoint, f)\n\n    def check_accuracy(self, X, y, num_samples=None, batch_size=100):\n        \"\"\"\n        Check accuracy of the model on the provided data.\n\n        Inputs:\n        - X: Array of data, of shape (N, d_1, ..., d_k)\n        - y: Array of labels, of shape (N,)\n        - num_samples: If not None, subsample the data and only test the model\n          on num_samples datapoints.\n        - batch_size: Split X and y into batches of this size to avoid using\n          too much memory.\n\n        Returns:\n        - acc: Scalar giving the fraction of instances that were correctly\n          classified by the model.\n        \"\"\"\n\n        # Maybe subsample the data\n        N = X.shape[0]\n        if num_samples is not None and N > num_samples:\n            mask = np.random.choice(N, num_samples)\n            N = num_samples\n            X = X[mask]\n            y = y[mask]\n\n        # Compute predictions in batches\n        num_batches = N // batch_size\n        if N % batch_size != 0:\n            num_batches += 1\n        y_pred = []\n        for i in range(num_batches):\n            start = i * batch_size\n            end = (i + 1) * batch_size\n            scores = self.model.loss(X[start:end])\n            y_pred.append(np.argmax(scores, axis=1))\n        y_pred = np.hstack(y_pred)\n        acc = np.mean(y_pred == y)\n\n        return acc\n\n    def train(self):\n        \"\"\"\n        Run optimization to train the model.\n        \"\"\"\n        num_train = self.X_train.shape[0]\n        iterations_per_epoch = max(num_train // self.batch_size, 1)\n        num_iterations = self.num_epochs * iterations_per_epoch\n\n        for t in range(num_iterations):\n            self._step()\n\n            # Maybe print training loss\n            if self.verbose and t % self.print_every == 0:\n                print(\n                    \"(Iteration %d / %d) loss: %f\"\n                    % (t + 1, num_iterations, self.loss_history[-1])\n                )\n\n            # At the end of every epoch, increment the epoch counter and decay\n            # the learning rate.\n            epoch_end = (t + 1) % iterations_per_epoch == 0\n            if epoch_end:\n                self.epoch += 1\n                for k in self.optim_configs:\n                    self.optim_configs[k][\"learning_rate\"] *= self.lr_decay\n\n            # Check train and val accuracy on the first iteration, the last\n            # iteration, and at the end of each epoch.\n            first_it = t == 0\n            last_it = t == num_iterations - 1\n            if first_it or last_it or epoch_end:\n                train_acc = self.check_accuracy(\n                    self.X_train, self.y_train, num_samples=self.num_train_samples\n                )\n                val_acc = self.check_accuracy(\n                    self.X_val, self.y_val, num_samples=self.num_val_samples\n                )\n                self.train_acc_history.append(train_acc)\n                self.val_acc_history.append(val_acc)\n                self._save_checkpoint()\n\n                if self.verbose:\n                    print(\n                        \"(Epoch %d / %d) train acc: %f; val_acc: %f\"\n                        % (self.epoch, self.num_epochs, train_acc, val_acc)\n                    )\n\n                # Keep track of the best model\n                if val_acc > self.best_val_acc:\n                    self.best_val_acc = val_acc\n                    self.best_params = {}\n                    for k, v in self.model.params.items():\n                        self.best_params[k] = v.copy()\n\n        # At the end of training swap the best params into the model\n        self.model.params = self.best_params\n"
  },
  {
    "path": "cs231n/assignment2/cs231n/vis_utils.py",
    "content": "from builtins import range\nfrom past.builtins import xrange\n\nfrom math import sqrt, ceil\nimport numpy as np\n\n\ndef visualize_grid(Xs, ubound=255.0, padding=1):\n    \"\"\"\n    Reshape a 4D tensor of image data to a grid for easy visualization.\n\n    Inputs:\n    - Xs: Data of shape (N, H, W, C)\n    - ubound: Output grid will have values scaled to the range [0, ubound]\n    - padding: The number of blank pixels between elements of the grid\n    \"\"\"\n    (N, H, W, C) = Xs.shape\n    grid_size = int(ceil(sqrt(N)))\n    grid_height = H * grid_size + padding * (grid_size - 1)\n    grid_width = W * grid_size + padding * (grid_size - 1)\n    grid = np.zeros((grid_height, grid_width, C))\n    next_idx = 0\n    y0, y1 = 0, H\n    for y in range(grid_size):\n        x0, x1 = 0, W\n        for x in range(grid_size):\n            if next_idx < N:\n                img = Xs[next_idx]\n                low, high = np.min(img), np.max(img)\n                grid[y0:y1, x0:x1] = ubound * (img - low) / (high - low)\n                # grid[y0:y1, x0:x1] = Xs[next_idx]\n                next_idx += 1\n            x0 += W + padding\n            x1 += W + padding\n        y0 += H + padding\n        y1 += H + padding\n    # grid_max = np.max(grid)\n    # grid_min = np.min(grid)\n    # grid = ubound * (grid - grid_min) / (grid_max - grid_min)\n    return grid\n\n\ndef vis_grid(Xs):\n    \"\"\" visualize a grid of images \"\"\"\n    (N, H, W, C) = Xs.shape\n    A = int(ceil(sqrt(N)))\n    G = np.ones((A * H + A, A * W + A, C), Xs.dtype)\n    G *= np.min(Xs)\n    n = 0\n    for y in range(A):\n        for x in range(A):\n            if n < N:\n                G[y * H + y : (y + 1) * H + y, x * W + x : (x + 1) * W + x, :] = Xs[\n                    n, :, :, :\n                ]\n                n += 1\n    # normalize to [0,1]\n    maxg = G.max()\n    ming = G.min()\n    G = (G - ming) / (maxg - ming)\n    return G\n\n\ndef vis_nn(rows):\n    \"\"\" visualize array of arrays of images \"\"\"\n    N = len(rows)\n    D = len(rows[0])\n    H, W, C = rows[0][0].shape\n    Xs = rows[0][0]\n    G = np.ones((N * H + N, D * W + D, C), Xs.dtype)\n    for y in range(N):\n        for x in range(D):\n            G[y * H + y : (y + 1) * H + y, x * W + x : (x + 1) * W + x, :] = rows[y][x]\n    # normalize to [0,1]\n    maxg = G.max()\n    ming = G.min()\n    G = (G - ming) / (maxg - ming)\n    return G\n"
  },
  {
    "path": "cs231n/assignment2/requirements.txt",
    "content": "attrs==19.1.0\nbackcall==0.1.0\nbleach==3.1.0\ncertifi==2019.3.9\nchardet==3.0.4\ncolorama==0.4.1\ncycler==0.10.0\nCython==0.29.16\ndecorator==4.4.0\ndefusedxml==0.5.0\nentrypoints==0.3\nfuture==0.17.1\ngitdb2==2.0.5\nGitPython==2.1.11\nidna==2.8\nipykernel==5.1.0\nipython==7.4.0\nipython-genutils==0.2.0\nipywidgets==7.4.2\nimageio==2.8.0\njedi==0.13.3\nJinja2==2.10\njsonschema==3.0.1\njupyter==1.0.0\njupyter-client==5.2.4\njupyter-console==6.0.0\njupyter-core==4.4.0\njupyterlab==0.35.4\njupyterlab-server==0.2.0\nkiwisolver==1.0.1\nMarkupSafe==1.1.1\nmatplotlib==3.0.3\nmistune==0.8.4\nnbconvert==5.4.1\nnbdime==1.0.5\nnbformat==4.4.0\nnotebook==5.7.8\nnumpy==1.16.2\npandocfilters==1.4.2\nparso==0.3.4\npexpect==4.6.0\npickleshare==0.7.5\nPillow==6.0.0\nprometheus-client==0.6.0\nprompt-toolkit==2.0.9\nptyprocess==0.6.0\nPygments==2.3.1\npyparsing==2.3.1\npyrsistent==0.14.11\npython-dateutil==2.8.0\npyzmq==18.0.1\nqtconsole==4.4.3\nrequests==2.21.0\nscipy==1.2.1\nSend2Trash==1.5.0\nsix==1.12.0\nsmmap2==2.0.5\nterminado==0.8.2\ntestpath==0.4.2\ntornado==6.0.2\ntraitlets==4.3.2\nurllib3==1.24.1\nwcwidth==0.1.7\nwebencodings==0.5.1\nwidgetsnbextension==3.4.2\n"
  },
  {
    "path": "cs231n/assignment3/Generative_Adversarial_Networks_PyTorch.ipynb",
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Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"fe0b787f-6a8e-4fb4-e9c3-9dad06fac7b2\"},\"source\":[\"# this mounts your Google Drive to the Colab VM.\\n\",\"from google.colab import drive\\n\",\"drive.mount('/content/drive', force_remount=True)\\n\",\"\\n\",\"# enter the foldername in your Drive where you have saved the unzipped\\n\",\"# assignment folder, e.g. 'cs231n/assignments/assignment3/'\\n\",\"FOLDERNAME = 'cs231n/assignments/assignment3/'\\n\",\"assert FOLDERNAME is not None, \\\"[!] Enter the foldername.\\\"\\n\",\"\\n\",\"# now that we've mounted your Drive, this ensures that\\n\",\"# the Python interpreter of the Colab VM can load\\n\",\"# python files from within it.\\n\",\"import sys\\n\",\"sys.path.append('/content/drive/My Drive/{}'.format(FOLDERNAME))\\n\",\"\\n\",\"# this downloads the CIFAR-10 dataset to your Drive\\n\",\"# if it doesn't already exist.\\n\",\"%cd drive/My\\\\ Drive/$FOLDERNAME/cs231n/datasets/\\n\",\"!bash get_datasets.sh\\n\",\"%cd /content\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Mounted at /content/drive\\n\",\"/content/drive/My Drive/cs231n/assignments/assignment3/cs231n/datasets\\n\",\"/content\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"tags\":[\"pdf-title\"],\"id\":\"4qDJ41gf8YVJ\"},\"source\":[\"# Generative Adversarial Networks (GANs)\\n\",\"\\n\",\"So far in CS231N, all the applications of neural networks that we have explored have been **discriminative models** that take an input and are trained to produce a labeled output. This has ranged from straightforward classification of image categories to sentence generation (which was still phrased as a classification problem, our labels were in vocabulary space and we’d learned a recurrence to capture multi-word labels). In this notebook, we will expand our repetoire, and build **generative models** using neural networks. Specifically, we will learn how to build models which generate novel images that resemble a set of training images.\\n\",\"\\n\",\"### What is a GAN?\\n\",\"\\n\",\"In 2014, [Goodfellow et al.](https://arxiv.org/abs/1406.2661) presented a method for training generative models called Generative Adversarial Networks (GANs for short). In a GAN, we build two different neural networks. Our first network is a traditional classification network, called the **discriminator**. We will train the discriminator to take images, and classify them as being real (belonging to the training set) or fake (not present in the training set). Our other network, called the **generator**, will take random noise as input and transform it using a neural network to produce images. The goal of the generator is to fool the discriminator into thinking the images it produced are real.\\n\",\"\\n\",\"We can think of this back and forth process of the generator ($G$) trying to fool the discriminator ($D$), and the discriminator trying to correctly classify real vs. fake as a minimax game:\\n\",\"$$\\\\underset{G}{\\\\text{minimize}}\\\\; \\\\underset{D}{\\\\text{maximize}}\\\\; \\\\mathbb{E}_{x \\\\sim p_\\\\text{data}}\\\\left[\\\\log D(x)\\\\right] + \\\\mathbb{E}_{z \\\\sim p(z)}\\\\left[\\\\log \\\\left(1-D(G(z))\\\\right)\\\\right]$$\\n\",\"where $z \\\\sim p(z)$ are the random noise samples, $G(z)$ are the generated images using the neural network generator $G$, and $D$ is the output of the discriminator, specifying the probability of an input being real. In [Goodfellow et al.](https://arxiv.org/abs/1406.2661), they analyze this minimax game and show how it relates to minimizing the Jensen-Shannon divergence between the training data distribution and the generated samples from $G$.\\n\",\"\\n\",\"To optimize this minimax game, we will aternate between taking gradient *descent* steps on the objective for $G$, and gradient *ascent* steps on the objective for $D$:\\n\",\"1. update the **generator** ($G$) to minimize the probability of the __discriminator making the correct choice__. \\n\",\"2. update the **discriminator** ($D$) to maximize the probability of the __discriminator making the correct choice__.\\n\",\"\\n\",\"While these updates are useful for analysis, they do not perform well in practice. Instead, we will use a different objective when we update the generator: maximize the probability of the **discriminator making the incorrect choice**. This small change helps to allevaiate problems with the generator gradient vanishing when the discriminator is confident. This is the standard update used in most GAN papers, and was used in the original paper from [Goodfellow et al.](https://arxiv.org/abs/1406.2661). \\n\",\"\\n\",\"In this assignment, we will alternate the following updates:\\n\",\"1. Update the generator ($G$) to maximize the probability of the discriminator making the incorrect choice on generated data:\\n\",\"$$\\\\underset{G}{\\\\text{maximize}}\\\\;  \\\\mathbb{E}_{z \\\\sim p(z)}\\\\left[\\\\log D(G(z))\\\\right]$$\\n\",\"2. Update the discriminator ($D$), to maximize the probability of the discriminator making the correct choice on real and generated data:\\n\",\"$$\\\\underset{D}{\\\\text{maximize}}\\\\; \\\\mathbb{E}_{x \\\\sim p_\\\\text{data}}\\\\left[\\\\log D(x)\\\\right] + \\\\mathbb{E}_{z \\\\sim p(z)}\\\\left[\\\\log \\\\left(1-D(G(z))\\\\right)\\\\right]$$\\n\",\"\\n\",\"### What else is there?\\n\",\"Since 2014, GANs have exploded into a huge research area, with massive [workshops](https://sites.google.com/site/nips2016adversarial/), and [hundreds of new papers](https://github.com/hindupuravinash/the-gan-zoo). Compared to other approaches for generative models, they often produce the highest quality samples but are some of the most difficult and finicky models to train (see [this github repo](https://github.com/soumith/ganhacks) that contains a set of 17 hacks that are useful for getting models working). Improving the stabiilty and robustness of GAN training is an open research question, with new papers coming out every day! For a more recent tutorial on GANs, see [here](https://arxiv.org/abs/1701.00160). There is also some even more recent exciting work that changes the objective function to Wasserstein distance and yields much more stable results across model architectures: [WGAN](https://arxiv.org/abs/1701.07875), [WGAN-GP](https://arxiv.org/abs/1704.00028).\\n\",\"\\n\",\"\\n\",\"GANs are not the only way to train a generative model! For other approaches to generative modeling check out the [deep generative model chapter](http://www.deeplearningbook.org/contents/generative_models.html) of the Deep Learning [book](http://www.deeplearningbook.org). Another popular way of training neural networks as generative models is Variational Autoencoders (co-discovered [here](https://arxiv.org/abs/1312.6114) and [here](https://arxiv.org/abs/1401.4082)). Variatonal autoencoders combine neural networks with variationl inference to train deep generative models. These models tend to be far more stable and easier to train but currently don't produce samples that are as pretty as GANs.\\n\",\"\\n\",\"Here's an example of what your outputs from the 3 different models you're going to train should look like... note that GANs are sometimes finicky, so your outputs might not look exactly like this... this is just meant to be a *rough* guideline of the kind of quality you can expect:\\n\",\"\\n\",\"![caption](gan_outputs_pytorch.png)\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"tags\":[\"pdf-ignore\"],\"id\":\"NBYPplvA8YVL\"},\"source\":[\"## Setup\"]},{\"cell_type\":\"code\",\"metadata\":{\"tags\":[\"pdf-ignore\"],\"id\":\"XRMPAk1W8YVL\"},\"source\":[\"import torch\\n\",\"import torch.nn as nn\\n\",\"from torch.nn import init\\n\",\"import torchvision\\n\",\"import torchvision.transforms as T\\n\",\"import torch.optim as optim\\n\",\"from torch.utils.data import DataLoader\\n\",\"from torch.utils.data import sampler\\n\",\"import torchvision.datasets as dset\\n\",\"\\n\",\"import numpy as np\\n\",\"\\n\",\"import matplotlib.pyplot as plt\\n\",\"import matplotlib.gridspec as gridspec\\n\",\"\\n\",\"%matplotlib inline\\n\",\"plt.rcParams['figure.figsize'] = (10.0, 8.0) # set default size of plots\\n\",\"plt.rcParams['image.interpolation'] = 'nearest'\\n\",\"plt.rcParams['image.cmap'] = 'gray'\\n\",\"\\n\",\"# for auto-reloading external modules\\n\",\"# see http://stackoverflow.com/questions/1907993/autoreload-of-modules-in-ipython\\n\",\"%load_ext autoreload\\n\",\"%autoreload 2\\n\",\"\\n\",\"def show_images(images):\\n\",\"    images = np.reshape(images, [images.shape[0], -1])  # images reshape to (batch_size, D)\\n\",\"    sqrtn = int(np.ceil(np.sqrt(images.shape[0])))\\n\",\"    sqrtimg = int(np.ceil(np.sqrt(images.shape[1])))\\n\",\"\\n\",\"    fig = plt.figure(figsize=(sqrtn, sqrtn))\\n\",\"    gs = gridspec.GridSpec(sqrtn, sqrtn)\\n\",\"    gs.update(wspace=0.05, hspace=0.05)\\n\",\"\\n\",\"    for i, img in enumerate(images):\\n\",\"        ax = plt.subplot(gs[i])\\n\",\"        plt.axis('off')\\n\",\"        ax.set_xticklabels([])\\n\",\"        ax.set_yticklabels([])\\n\",\"        ax.set_aspect('equal')\\n\",\"        plt.imshow(img.reshape([sqrtimg,sqrtimg]))\\n\",\"    return \\n\"],\"execution_count\":null,\"outputs\":[]},{\"cell_type\":\"code\",\"metadata\":{\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"id\":\"lor12O3p8YVM\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1615293442254,\"user_tz\":-60,\"elapsed\":1069,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"538a31ee-cec4-4780-cc93-7dfe38d56d2f\"},\"source\":[\"# Colab users only\\n\",\"%cd drive/My\\\\ Drive/$FOLDERNAME/\\n\",\"%cp -r gan-checks-tf.npz /content/\\n\",\"%cd /content/\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"/content/drive/My Drive/cs231n/assignments/assignment3\\n\",\"/content\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"JtLX5tPE8YVM\"},\"source\":[\"from cs231n.gan_pytorch import preprocess_img, deprocess_img, rel_error, count_params, ChunkSampler\\n\",\"\\n\",\"answers = dict(np.load('gan-checks-tf.npz'))\"],\"execution_count\":null,\"outputs\":[]},{\"cell_type\":\"markdown\",\"metadata\":{\"tags\":[\"pdf-ignore\"],\"id\":\"NCdKWeYW8YVM\"},\"source\":[\"## Dataset\\n\",\" GANs are notoriously finicky with hyperparameters, and also require many training epochs. In order to make this assignment approachable without a GPU, we will be working on the MNIST dataset, which is 60,000 training and 10,000 test images. Each picture contains a centered image of white digit on black background (0 through 9). This was one of the first datasets used to train convolutional neural networks and it is fairly easy -- a standard CNN model can easily exceed 99% accuracy. \\n\",\"\\n\",\"To simplify our code here, we will use the PyTorch MNIST wrapper, which downloads and loads the MNIST dataset. See the [documentation](https://github.com/pytorch/vision/blob/master/torchvision/datasets/mnist.py) for more information about the interface. The default parameters will take 5,000 of the training examples and place them into a validation dataset. The data will be saved into a folder called `MNIST_data`. \"]},{\"cell_type\":\"code\",\"metadata\":{\"scrolled\":false,\"tags\":[\"pdf-ignore\"],\"colab\":{\"base_uri\":\"https://localhost:8080/\",\"height\":1000,\"referenced_widgets\":[\"8e750658b17c459bb5cf51c5003d720f\",\"91e4daecd23e44c8b1a9b09e33d6374d\",\"9ac2fec7e4484b67ac2f8810c011dfcf\",\"9580e42645cf4ee5bf7e8bb19a3c4abb\",\"64626cfcbbbf430196c40af4b403d5f6\",\"a59bf855461645a5864e93cb422be73e\",\"636d33873c344fbdb9ab3be23d7fc8e2\",\"f42b554cfa724c21ac51c7b4cb2f6023\",\"33196e91192f4fdfadfa20594f2d090d\",\"38f40a5ae32f4cee81129f8d9f6cb8fc\",\"90bd85baab1d4bc084af23bd42b08c72\",\"fda75a2dfdd943c29a8803ffa8026d1a\",\"a491ce2a459d42269f6c55374418d0f0\",\"dc6a75650db84dd4b2fa80b8bec1912e\",\"397267c630e14712b07c79924ed43f88\",\"d5eba6f607b543f78259bb4e1ed483b6\",\"c6bca5af60e6415a9e0dcdbd6c9b30dc\",\"ca9b12fa0a5d45d48812eae260b3ae42\",\"32c69b0f22c24f848a9954b5070fcc1d\",\"7a76b4bde55b46ce85960831e6f39f67\",\"e6df914dc85d455ebc86f7860c65d489\",\"8da843d708e04170936cd82d4456edf6\",\"3f09655455064d0f96749a5d5d15ba5e\",\"58985674562c4844a94abb747f7487cf\",\"2839fd13ba8c4754aabd7e89126146fc\",\"9fd07df7da1a4782a2153bda7a3fb7f2\",\"ecd931dee5e14c32b9fc7bbd9466a7bc\",\"d60c0a70bd004ddd8afd4254aa120dd9\",\"ba0c2b165190484c825d82a473fd4224\",\"a8d6f6ae44c74a859eff4642b784e1c9\",\"633951ccd67a44fcbd228a5c34b20a9e\",\"4adbedd731134f53bbf1835693b0b82c\"]},\"id\":\"oo-Y36xe8YVN\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1615293579982,\"user_tz\":-60,\"elapsed\":11951,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"969a1b37-55ba-4ca0-ee50-d905770bfcbd\"},\"source\":[\"NUM_TRAIN = 50000\\n\",\"NUM_VAL = 5000\\n\",\"\\n\",\"NOISE_DIM = 96\\n\",\"batch_size = 128\\n\",\"\\n\",\"mnist_train = dset.MNIST('./cs231n/datasets/MNIST_data', train=True, download=True,\\n\",\"                           transform=T.ToTensor())\\n\",\"loader_train = DataLoader(mnist_train, batch_size=batch_size,\\n\",\"                          sampler=ChunkSampler(NUM_TRAIN, 0))\\n\",\"\\n\",\"mnist_val = dset.MNIST('./cs231n/datasets/MNIST_data', train=True, download=True,\\n\",\"                           transform=T.ToTensor())\\n\",\"loader_val = DataLoader(mnist_val, batch_size=batch_size,\\n\",\"                        sampler=ChunkSampler(NUM_VAL, NUM_TRAIN))\\n\",\"\\n\",\"\\n\",\"imgs = loader_train.__iter__().next()[0].view(batch_size, 784).numpy().squeeze()\\n\",\"show_images(imgs)\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Downloading http://yann.lecun.com/exdb/mnist/train-images-idx3-ubyte.gz to ./cs231n/datasets/MNIST_data/MNIST/raw/train-images-idx3-ubyte.gz\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"application/vnd.jupyter.widget-view+json\":{\"model_id\":\"8e750658b17c459bb5cf51c5003d720f\",\"version_minor\":0,\"version_major\":2},\"text/plain\":[\"HBox(children=(FloatProgress(value=0.0, max=9912422.0), HTML(value='')))\"]},\"metadata\":{\"tags\":[]}},{\"output_type\":\"stream\",\"text\":[\"\\n\",\"Extracting ./cs231n/datasets/MNIST_data/MNIST/raw/train-images-idx3-ubyte.gz to ./cs231n/datasets/MNIST_data/MNIST/raw\\n\",\"Downloading http://yann.lecun.com/exdb/mnist/train-labels-idx1-ubyte.gz to ./cs231n/datasets/MNIST_data/MNIST/raw/train-labels-idx1-ubyte.gz\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"application/vnd.jupyter.widget-view+json\":{\"model_id\":\"33196e91192f4fdfadfa20594f2d090d\",\"version_minor\":0,\"version_major\":2},\"text/plain\":[\"HBox(children=(FloatProgress(value=0.0, max=28881.0), HTML(value='')))\"]},\"metadata\":{\"tags\":[]}},{\"output_type\":\"stream\",\"text\":[\"\\n\",\"Extracting ./cs231n/datasets/MNIST_data/MNIST/raw/train-labels-idx1-ubyte.gz to ./cs231n/datasets/MNIST_data/MNIST/raw\\n\",\"Downloading http://yann.lecun.com/exdb/mnist/t10k-images-idx3-ubyte.gz to ./cs231n/datasets/MNIST_data/MNIST/raw/t10k-images-idx3-ubyte.gz\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"application/vnd.jupyter.widget-view+json\":{\"model_id\":\"c6bca5af60e6415a9e0dcdbd6c9b30dc\",\"version_minor\":0,\"version_major\":2},\"text/plain\":[\"HBox(children=(FloatProgress(value=0.0, max=1648877.0), HTML(value='')))\"]},\"metadata\":{\"tags\":[]}},{\"output_type\":\"stream\",\"text\":[\"\\n\",\"Extracting ./cs231n/datasets/MNIST_data/MNIST/raw/t10k-images-idx3-ubyte.gz to ./cs231n/datasets/MNIST_data/MNIST/raw\\n\",\"Downloading http://yann.lecun.com/exdb/mnist/t10k-labels-idx1-ubyte.gz to ./cs231n/datasets/MNIST_data/MNIST/raw/t10k-labels-idx1-ubyte.gz\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"application/vnd.jupyter.widget-view+json\":{\"model_id\":\"2839fd13ba8c4754aabd7e89126146fc\",\"version_minor\":0,\"version_major\":2},\"text/plain\":[\"HBox(children=(FloatProgress(value=0.0, max=4542.0), HTML(value='')))\"]},\"metadata\":{\"tags\":[]}},{\"output_type\":\"stream\",\"text\":[\"\\n\",\"Extracting ./cs231n/datasets/MNIST_data/MNIST/raw/t10k-labels-idx1-ubyte.gz to ./cs231n/datasets/MNIST_data/MNIST/raw\\n\",\"Processing...\\n\",\"Done!\\n\"],\"name\":\"stdout\"},{\"output_type\":\"stream\",\"text\":[\"/usr/local/lib/python3.7/dist-packages/torchvision/datasets/mnist.py:479: UserWarning: The given NumPy array is not writeable, and PyTorch does not support non-writeable tensors. This means you can write to the underlying (supposedly non-writeable) NumPy array using the tensor. You may want to copy the array to protect its data or make it writeable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at  /pytorch/torch/csrc/utils/tensor_numpy.cpp:143.)\\n\",\"  return torch.from_numpy(parsed.astype(m[2], copy=False)).view(*s)\\n\"],\"name\":\"stderr\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 864x864 with 128 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"faSXT_yr8YVO\"},\"source\":[\"## Random Noise\\n\",\"Generate uniform noise from -1 to 1 with shape `[batch_size, dim]`.\\n\",\"\\n\",\"Implement `sample_noise` in `cs231n/gan_pytorch.py`.\\n\",\"\\n\",\"Hint: use `torch.rand`.\\n\",\"\\n\",\"Make sure noise is the correct shape and type:\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"sample_noise_test\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1615294363409,\"user_tz\":-60,\"elapsed\":738,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"22d5153e-2a55-410f-b08f-70b76828f59d\"},\"source\":[\"from cs231n.gan_pytorch import sample_noise\\n\",\"\\n\",\"def test_sample_noise(): \\n\",\"    batch_size = 3\\n\",\"    dim = 4\\n\",\"    torch.manual_seed(231)\\n\",\"    z = sample_noise(batch_size, dim)\\n\",\"    np_z = z.cpu().numpy()\\n\",\"    assert np_z.shape == (batch_size, dim)\\n\",\"    assert torch.is_tensor(z)\\n\",\"    assert np.all(np_z >= -1.0) and np.all(np_z <= 1.0)\\n\",\"    assert np.any(np_z < 0.0) and np.any(np_z > 0.0)\\n\",\"    print('All tests passed!')\\n\",\"    \\n\",\"test_sample_noise()\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"All tests passed!\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"tags\":[\"pdf-ignore\"],\"id\":\"Jzu5uOF58YVO\"},\"source\":[\"## Flatten\\n\",\"\\n\",\"Recall our Flatten operation from previous notebooks... this time we also provide an Unflatten, which you might want to use when implementing the convolutional generator. We also provide a weight initializer (and call it for you) that uses Xavier initialization instead of PyTorch's uniform default.\"]},{\"cell_type\":\"code\",\"metadata\":{\"tags\":[\"pdf-ignore\"],\"id\":\"CWnbSB3K8YVP\"},\"source\":[\"from cs231n.gan_pytorch import Flatten, Unflatten, initialize_weights\"],\"execution_count\":null,\"outputs\":[]},{\"cell_type\":\"markdown\",\"metadata\":{\"tags\":[\"pdf-ignore\"],\"id\":\"qCeAVOAa8YVP\"},\"source\":[\"## CPU / GPU\\n\",\"By default all code will run on CPU. GPUs are not needed for this assignment, but will help you to train your models faster. If you do want to run the code on a GPU, then change the `dtype` variable in the following cell.\\n\",\"**If you are a Colab user, it is recommeded to change colab runtime to GPU.**\"]},{\"cell_type\":\"code\",\"metadata\":{\"tags\":[\"pdf-ignore\"],\"id\":\"SMM8br5Q8YVP\"},\"source\":[\"dtype = torch.FloatTensor\\n\",\"#dtype = torch.cuda.FloatTensor ## UNCOMMENT THIS LINE IF YOU'RE ON A GPU!\"],\"execution_count\":null,\"outputs\":[]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"P3WzqJPF8YVQ\"},\"source\":[\"# Discriminator\\n\",\"Our first step is to build a discriminator. Fill in the architecture as part of the `nn.Sequential` constructor in the function below. All fully connected layers should include bias terms. The architecture is:\\n\",\" * Fully connected layer with input size 784 and output size 256\\n\",\" * LeakyReLU with alpha 0.01\\n\",\" * Fully connected layer with input_size 256 and output size 256\\n\",\" * LeakyReLU with alpha 0.01\\n\",\" * Fully connected layer with input size 256 and output size 1\\n\",\" \\n\",\"Recall that the Leaky ReLU nonlinearity computes $f(x) = \\\\max(\\\\alpha x, x)$ for some fixed constant $\\\\alpha$; for the LeakyReLU nonlinearities in the architecture above we set $\\\\alpha=0.01$.\\n\",\" \\n\",\"The output of the discriminator should have shape `[batch_size, 1]`, and contain real numbers corresponding to the scores that each of the `batch_size` inputs is a real image.\\n\",\"\\n\",\"Implement `discriminator` in `cs231n/gan_pytorch.py`\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"-XOMndlO8YVQ\"},\"source\":[\"Test to make sure the number of parameters in the discriminator is correct:\"]},{\"cell_type\":\"code\",\"metadata\":{\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"id\":\"_YqQMXqB8YVR\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1615294991314,\"user_tz\":-60,\"elapsed\":731,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"36df9bb1-6af6-4ba0-f2ce-ee9d39e60a11\"},\"source\":[\"from cs231n.gan_pytorch import discriminator\\n\",\"\\n\",\"def test_discriminator(true_count=267009):\\n\",\"    model = discriminator()\\n\",\"    cur_count = count_params(model)\\n\",\"    if cur_count != true_count:\\n\",\"        print('Incorrect number of parameters in discriminator. Check your achitecture.')\\n\",\"    else:\\n\",\"        print('Correct number of parameters in discriminator.')     \\n\",\"\\n\",\"test_discriminator()\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Correct number of parameters in discriminator.\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"Sj9zzX8K8YVR\"},\"source\":[\"# Generator\\n\",\"Now to build the generator network:\\n\",\" * Fully connected layer from noise_dim to 1024\\n\",\" * `ReLU`\\n\",\" * Fully connected layer with size 1024 \\n\",\" * `ReLU`\\n\",\" * Fully connected layer with size 784\\n\",\" * `TanH` (to clip the image to be in the range of [-1,1])\\n\",\" \\n\",\" Implement `generator` in `cs231n/gan_pytorch.py`\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"Bqw2SpPW8YVR\"},\"source\":[\"Test to make sure the number of parameters in the generator is correct:\"]},{\"cell_type\":\"code\",\"metadata\":{\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"id\":\"Dq_X_Fj48YVR\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1615295222025,\"user_tz\":-60,\"elapsed\":1404,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"387abc2c-f341-4aa6-dcc4-71344f2b6807\"},\"source\":[\"from cs231n.gan_pytorch import generator\\n\",\"\\n\",\"def test_generator(true_count=1858320):\\n\",\"    model = generator(4)\\n\",\"    cur_count = count_params(model)\\n\",\"    if cur_count != true_count:\\n\",\"        print('Incorrect number of parameters in generator. Check your achitecture.')\\n\",\"    else:\\n\",\"        print('Correct number of parameters in generator.')\\n\",\"\\n\",\"test_generator()\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Correct number of parameters in generator.\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"-qz9eJDM8YVS\"},\"source\":[\"# GAN Loss\\n\",\"\\n\",\"Compute the generator and discriminator loss. The generator loss is:\\n\",\"$$\\\\ell_G  =  -\\\\mathbb{E}_{z \\\\sim p(z)}\\\\left[\\\\log D(G(z))\\\\right]$$\\n\",\"and the discriminator loss is:\\n\",\"$$ \\\\ell_D = -\\\\mathbb{E}_{x \\\\sim p_\\\\text{data}}\\\\left[\\\\log D(x)\\\\right] - \\\\mathbb{E}_{z \\\\sim p(z)}\\\\left[\\\\log \\\\left(1-D(G(z))\\\\right)\\\\right]$$\\n\",\"Note that these are negated from the equations presented earlier as we will be *minimizing* these losses.\\n\",\"\\n\",\"**HINTS**: You should use the `bce_loss` function defined below to compute the binary cross entropy loss which is needed to compute the log probability of the true label given the logits output from the discriminator. Given a score $s\\\\in\\\\mathbb{R}$ and a label $y\\\\in\\\\{0, 1\\\\}$, the binary cross entropy loss is\\n\",\"\\n\",\"$$ bce(s, y) = -y * \\\\log(s) - (1 - y) * \\\\log(1 - s) $$\\n\",\"\\n\",\"A naive implementation of this formula can be numerically unstable, so we have provided a numerically stable implementation for you below.\\n\",\"\\n\",\"You will also need to compute labels corresponding to real or fake and use the logit arguments to determine their size. Make sure you cast these labels to the correct data type using the global `dtype` variable, for example:\\n\",\"\\n\",\"\\n\",\"`true_labels = torch.ones(size).type(dtype)`\\n\",\"\\n\",\"Instead of computing the expectation of $\\\\log D(G(z))$, $\\\\log D(x)$ and $\\\\log \\\\left(1-D(G(z))\\\\right)$, we will be averaging over elements of the minibatch, so make sure to combine the loss by averaging instead of summing.\\n\",\"\\n\",\"Implement `bce_loss`, `discriminator_loss`, `generator_loss` in `cs231n/gan_pytorch.py`\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"EimPYVYf8YVS\"},\"source\":[\"Test your generator and discriminator loss. You should see errors < 1e-7.\"]},{\"cell_type\":\"code\",\"metadata\":{\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"id\":\"_lQITHqF8YVT\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1615298568823,\"user_tz\":-60,\"elapsed\":888,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"ceac8f1f-9f7c-4e75-9f22-ad8c7fa71de9\"},\"source\":[\"from cs231n.gan_pytorch import bce_loss, discriminator_loss, generator_loss\\n\",\"\\n\",\"def test_discriminator_loss(logits_real, logits_fake, d_loss_true):\\n\",\"    d_loss = discriminator_loss(torch.Tensor(logits_real).type(dtype),\\n\",\"                                torch.Tensor(logits_fake).type(dtype)).cpu().numpy()\\n\",\"    print(\\\"Maximum error in d_loss: %g\\\"%rel_error(d_loss_true, d_loss))\\n\",\"\\n\",\"test_discriminator_loss(answers['logits_real'], answers['logits_fake'],\\n\",\"                        answers['d_loss_true'])\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Maximum error in d_loss: 2.83811e-08\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"code\",\"metadata\":{\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"id\":\"ETtGgbVI8YVU\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1615298573433,\"user_tz\":-60,\"elapsed\":750,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"49b1ba35-46b0-49f0-cc18-36eb19f7a45d\"},\"source\":[\"def test_generator_loss(logits_fake, g_loss_true):\\n\",\"    g_loss = generator_loss(torch.Tensor(logits_fake).type(dtype)).cpu().numpy()\\n\",\"    print(\\\"Maximum error in g_loss: %g\\\"%rel_error(g_loss_true, g_loss))\\n\",\"\\n\",\"test_generator_loss(answers['logits_fake'], answers['g_loss_true'])\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Maximum error in g_loss: 4.4518e-09\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"EAv8RqN28YVV\"},\"source\":[\"# Optimizing our loss\\n\",\"Make a function that returns an `optim.Adam` optimizer for the given model with a 1e-3 learning rate, beta1=0.5, beta2=0.999. You'll use this to construct optimizers for the generators and discriminators for the rest of the notebook.\\n\",\"\\n\",\"Implement `get_optimizer` in `cs231n/gan_pytorch.py`\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"TsBzlktk8YVV\"},\"source\":[\"# Training a GAN!\\n\",\"\\n\",\"We provide you the main training loop... you won't need to change `run_a_gan` in `cs231n/gan_pytorch.py`, but we encourage you to read through and understand it. \"]},{\"cell_type\":\"code\",\"metadata\":{\"tags\":[\"pdf-ignore\"],\"id\":\"k0eGTn7C8YVV\"},\"source\":[\"from cs231n.gan_pytorch import get_optimizer, run_a_gan\\n\"],\"execution_count\":null,\"outputs\":[]},{\"cell_type\":\"code\",\"metadata\":{\"scrolled\":true,\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"id\":\"fSILs_5j8YVV\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1615300006584,\"user_tz\":-60,\"elapsed\":284499,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"91da06d9-a1d7-4d33-c867-282afba19492\"},\"source\":[\"# Make the discriminator\\n\",\"D = discriminator().type(dtype)\\n\",\"\\n\",\"# Make the generator\\n\",\"G = generator().type(dtype)\\n\",\"\\n\",\"# Use the function you wrote earlier to get optimizers for the Discriminator and the Generator\\n\",\"D_solver = get_optimizer(D)\\n\",\"G_solver = get_optimizer(G)\\n\",\"# Run it!\\n\",\"images = run_a_gan(D, G, D_solver, G_solver, discriminator_loss, generator_loss, loader_train)\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Iter: 0, D: 1.385, G:0.7186\\n\",\"Iter: 250, D: 1.23, G:0.9793\\n\",\"Iter: 500, D: 1.046, G:1.209\\n\",\"Iter: 750, D: 1.268, G:0.9514\\n\",\"Iter: 1000, D: 1.402, G:0.904\\n\",\"Iter: 1250, D: 1.432, G:0.8911\\n\",\"Iter: 1500, D: 1.338, G:1.024\\n\",\"Iter: 1750, D: 1.312, G:0.9227\\n\",\"Iter: 2000, D: 1.265, G:0.9955\\n\",\"Iter: 2250, D: 1.312, G:0.889\\n\",\"Iter: 2500, D: 1.376, G:0.9084\\n\",\"Iter: 2750, D: 1.286, G:0.8057\\n\",\"Iter: 3000, D: 1.32, G:0.9126\\n\",\"Iter: 3250, D: 1.444, G:0.3515\\n\",\"Iter: 3500, D: 1.411, G:0.7592\\n\",\"Iter: 3750, D: 1.39, G:0.7766\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"Vh23cRVx8YVW\"},\"source\":[\"Run the cell below to show the generated images.\"]},{\"cell_type\":\"code\",\"metadata\":{\"colab\":{\"base_uri\":\"https://localhost:8080/\",\"height\":1000},\"id\":\"o1vrYMLC8YVW\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1615300057335,\"user_tz\":-60,\"elapsed\":9351,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"f4cf4e3e-bd60-4f4e-ddee-6f3a0218e366\"},\"source\":[\"numIter = 0\\n\",\"for img in images:\\n\",\"    print(\\\"Iter: {}\\\".format(numIter))\\n\",\"    show_images(img)\\n\",\"    plt.show()\\n\",\"    numIter += 250\\n\",\"    print()\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Iter: 0\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 288x288 with 16 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"\\n\",\"Iter: 250\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 288x288 with 16 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"\\n\",\"Iter: 500\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 288x288 with 16 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"\\n\",\"Iter: 750\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 288x288 with 16 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"\\n\",\"Iter: 1000\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 288x288 with 16 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"\\n\",\"Iter: 1250\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 288x288 with 16 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"\\n\",\"Iter: 1500\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 288x288 with 16 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"\\n\",\"Iter: 1750\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 288x288 with 16 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"\\n\",\"Iter: 2000\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 288x288 with 16 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"\\n\",\"Iter: 2250\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 288x288 with 16 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"\\n\",\"Iter: 2500\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 288x288 with 16 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"\\n\",\"Iter: 2750\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 288x288 with 16 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"\\n\",\"Iter: 3000\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 288x288 with 16 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"\\n\",\"Iter: 3250\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"iVBORw0KGgoAAAANSUhEUgAAAOwAAADnCAYAAAAdFLrXAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+WH4yJAAAgAElEQVR4nO2dd5gUVdaH3xlmCIoBAyIqYMAcV0UUMwYEFTGsec05YVj9FBUjymPWBXXNmHUNuIYVcwQTiBEUFF0DiKAYkDj9/TH7q9t9p6u7urs6et7n4QFmuqtuVXXf3z3nnlCXSCQwDKM6qC/3AAzDiI59YQ2jirAvrGFUEfaFNYwqwr6whlFFNGT6ZV1dXWQXcl1dHQCl9Do3NDQPf8GCBZHfk0gk6pL/n8s1tmrVCoCFCxdGPt//zhHrfcl2r5OvMZfrqxYKeYbVgn+NwhTWMKqIjAoroqhnOfZzc1HWqCy77LIATJ8+vcXv6uub57empiYA2rZtC8Aff/yR8Zhx3xvbO//zYgprGFVEXabZupZsA60SmpqaKsL+6dmzJwBjxowBoHXr1gDMmzcPgEGDBgFw6aWX5nxss2GrH7NhDaMGqEiFla246KKLAvDrr79qPEBhNly22dlXusUWWyw4v0/79u0B+O2337Ke17d/i4kpbPVjCmsYNUAkL3Eh+MrSpk0bADp16gTAFltswV133QXAnnvuCcBzzz0HOOWKqqz19fUFK5iUVYSpK8Bmm20GwAsvvJD1uLreNdZYA4D3338fgCeeeAKAp556CoDrr78egNmzZwO5rSoaGxuzvqZc6LonTpxY5pFUN7EtiTfYYAMAxo8fD7ggg/XWWw+ATz75JOXnm266KQAvvfRScAyN5bXXXgNgv/32A2DatGlRh5GVqMupQpbf/nsbGxuZMGECAB07dgTcclrLfl2j7uMXX3yR93mTHWvlXi76909jLPCYtiQ2DKPyiW1JLGUV7dq1A+DDDz8EYPHFFwdckMHSSy8NNG9rbLHFFoBbAmv5uOWWWwJu2Th//vyUc6y55poAgXpBS3XLVylzeb1WDf4YFNgxb948+vbtC8DTTz+d8trff/895f833HADAP369ctpvAB77LFHzu+JGznt5s6dm/b3SyyxBACzZs0q2ZjioEOHDiyyyCKA+2z83//9HwAnnngiAB988AHgTCXdg169egHwxhtvFDwOU1jDqCJysmGjBL9LXZZZZhkA1l57bcDNqL/88gsAF1xwAQDHHnssb731FuAcPN27dwdg6NChAFx55ZUpx/ZVU46tKEH5cdo//v2QQ23JJZcE4N///jfg7PV8UICFnFTplMu/H+XY1tG9yBYuqtWQnGxnnHEGQKBecrZlohg2rP/Z0spH4aeTJ09mxRVXBNwqwrfHL7zwQsB91m+66SYge+hqOsyGNYwaoOiBE1I/2bCyU6VKyyyzDKNGjQKch3SttdYCYOrUqYCbsXwl0Qx27LHHRh5PMT2M++67LwD3338/4GzuxsbGFrOxtp90Lb4d7JOsANns63IGTsyZMwdwqw1x0EEHAXDnnXcCbguqW7duAEyZMiXyOYr5DM866ywALr/8csB9Xr/44gsOP/xwAA499FAATjnlFMCtCtZff30AVlppJSDadl8YprCGUQMUpLDJs70fIOGroW+j6PUXXnghJ5xwAgDPPvss4GawjTfeGIA333wTcLOy7y1ebLHFgMxBDiNHjgRg9913z3t2ludbNon2iy+66CKAYKXgs3DhwuB6dR80+8pD7qMADtlLYtlll+XHH39M+57HHnsMgD322KNsCptN/WWD6z7kE+hSDIWVz0X74Xpeu+22G9D8GZw5c2ba9+pZffnll4B7pjNmzMh5HOmeYTKmsIZRRcRuw0oR5C30Z1ApryJ+pk2bFvzML/kiO0h2kX+MTGMPC7YPm53DktP9cydz9tlnAy4FTuNS8vvBBx8MNEdzaaz+6kDeSCmOCFPYrl278u233wLhXvFi27CZSvMccsghAFx77bWA85iHPeN8iFNhNS6t5t5++23ArQS0qsrEZ599Bri4AFFImKzZsIZRA0RS2EIULQzZpccff3zwM826H330UaRj5EM+s7OUXuM7+uijAfj73/8OwMorr5zyeu3XHXDAAQBcccUVoceWgkp5/fv3zDPPALDTTjsBcNddd3HEEUdkHG85vMQ9evQA4PPPPwdoYe/FEUMs4lRYRdzJD6JoJCUp9O7dW+ds8d7ll18egP/85z8AfPzxx4B77oVgCmsYNUCkWGJ/rzCd7ZTrel2etN12242BAwcCcMwxx6S8xo8+KUXyt88iiywSeLblpZbC+coqNOMqUykTfjqflLRPnz4AnHbaaYB7BsOHD89p/KWgVatWQbSaz/7771/i0eSGbFX5Be677z4AjjzySCD96lLfA71Ge8mKIygmprCGUUXklK2TawHtdGjGUgTJCiusEGTlbL/99gBMmjQp5T2lUNaw1UNybKtslNVWWy3tMd59910Attlmm5zPr/ty9913A7Dccsul/H7s2LHBOaT0xSjzmg+K/U7HAw88UMKR5E6HDh0AuOWWWwDYddddAee3UL7yjBkzgn//8MMPgPus3HvvvUBpiumXvKaT75zq0KFDsHWi5YluVj5B09nIx2GhL/Onn34KuA+orkHXpC+3Hmw+PP/884BzdviMGTOGzTffPOMxSuV0kmNJH/pkZA4Uw4EYh9NJz1ShkgorlBNQ93jvvfcGYMCAAcFkqutWpRRN4H6qZCGY08kwaoCyVU3UhvqcOXOCDWctOZVKpiRuBYYXs2ri5MmTAVh11VVbnEv/1qzsBz8IhbflE5KmRAZds7aGhNT86KOP5rbbbst4rGIrbJT7H+c2TprzF6ywWhUpoX7IkCEA3HHHHYC7319//TXQnKS+8847Ay7oR84mrbh8U64QTGENowYoetXEMH7++WegeYZTCJ+2MISSnRUmKIpR49d3JCUnZMtBJodEGL4S5+KkO/3004GWW1tC6YnJdlIcYX5RUFCBig5kWukUU1njwN8i1P8vu+wyAL755puU36vXUmNjY1D6xb/ucePGAe4+FRNTWMOoJhKJROgfIJHuT11dXeJ/dkPefxobGxONjY2Ja665JjFv3rzEvHnzEj5z585NzJ07N9GxY8dEx44dczpvfX19or6+vsV7ol6j/kydOjU4xpw5cxJz5sxpMU6fKONraGhINDQ0JI477rjEcccdF8sx011jIc8o7E9TU1Oiqamp4HHm+yfXZxjXn3bt2iXatWvX4vM6c+bMxMyZMxOdO3dOdO7cuSjXqD+msIZRReRlwyZi2BiW3TVp0qTAFvNRGcnzzjsPgJNPPjnrcRUsv8suuxQ8RmguuTps2DDABbj7JV1l/4YFVPTs2TMI3ZP9HeZpFio8pwSDTJSqb4//3JVeePnll1e87RoHChdVvIACWJ588kkg3n3YMExhDaOKKNs+rGanpZZaiu+++w5wESSaqeR1e/XVVwGXthSWVB5F+RMF7OGpBIj23zTTyoMr1dRertptLLnkkkH5mr322gtwhdrCkIdcBemiUOpWHVp5qMRPqSjkGRaCvP/6HGivXKtFpeplKlUUFf8ahSmsYVQRJd+Hlb211FJLAfDdd9+1+Jn2XVWIWzN4WPsHKWuUEqBh48lk/x144IGAKxciBVV0lJ8ip5YNionWOTLx/fffA069/WNGIQ7fQia0KlJ8rYoPnHTSScH9u/jiiwHnd6gV6urqgkg2lTHVilCJA3recShsGKawhlFFlNyGVTsDNQjq3bt3kJWjGVxZL0oQDysvmQ+52j+tW7cO1E6eZym/bJrOnTsDBLZ4LqhYusqNiEI8v4kixRLLm+9nVzU1NQXtM8VPP/0EuFVTnJTDhh0xYkQQkZc0DsBlZ8WZXWY2rGHUAAXbsL4SpGsBCa6M5yqrrAK4QmZXX301/fv3B5yXVTGraiKlAuPlINmW/Ne//gW4ccorm81GnThxYtCB3EfJ+/59LEc5nGz4e8fJxcC1F6l9Y//5VyvyKdx7771BuxEp69VXXw0UN3/bxxTWMKqIotuw2kuVvaMooa5duwLNHtW//OUvgNtv1Uwm+y4bueTJ5mP/KP9RJWy0h6rzKitHXmP9X6r6008/BdevMa6wwgpZx5ovcduwGrtf1FwZV0suuSQbbrgh0DIKrBiUwoaVP0We4VGjRgWrreuuuw6Ae+65R+NJ+TsOwmzYgr+wYalkerirr7464BKB1V1d9WsbGxuDDWdVzNexirFN4d+Idu3aJcB9+aIsa7p06QLA+eefD7jqear1o547CpK49dZbg9dEdSYVkjpXLKdT0jF1nrgPHYlSfGGV2K7P8ezZs9lkk00AV1Nbz6YUn1NhS2LDqCIKVtioiqElhpbI2qpJDhoPG8v1118PRAv+z0Y+s7Ovdipvo761unYVHvvkk09Sfh43qn8btvwstsKWm1IorJ/MsOiiiwYrP6muVFirR7+7YSGYwhpGDRCb00lKq9knU9c3cKq1cOHCYKaSE6OYRJ2d47TT5s+fH6wwRDFT4kxhqx9TWMOoAQoKnFhiiSVa2HHZlFXKlez99JW1HF5IbdWoF0yc5x4/fnyLa6rEwAij8jGFNYwqIqMNaxhGZWEKaxhVREYb9s/gfauUa4zTbjcvcfVjXmLDqAHK1qrDSMV8CUYUTGENo4qwL6zHcsst16L7udh2223ZdtttSzsgD8WrGn9O7AtrGFVE2QqJl4tieBjzaS+pomVqZRkn5iWufsxLbBg1QEV5if18Ql/9/QyXSmnAlIuyHnHEEYCLXfavUTbyK6+8Es/gjJqior6w+qKeccYZaX+vbnaV8kXNBU02Sj6/9dZbgdSuBQAvv/xyyv9FucuyFAv/uvLp3lAuVFGxX79+AGyzzTYA/PWvfy3aOW1JbBhVREU6ncLGFIeylrK8iK5j1qxZfPPNNwCsvfba/nhS3iMefvhhwC2dH3vsscjnrwSn03777Qe0XPr37t0bgJdeeglwVfMz9Vb172e5nE6qlz148OCMr/vll18Agk4B6qO71VZbAekL6w0fPhxw/YrM6WQYNUBFKWw2Z5LswLFjxwKw0UYbAbl1TAubnXXuKJ3mfNR5fdKkSQCce+65gOsjlOmYKo2qHjR+N3r9XzVxtYWUiWIrrIrQ3XXXXQD0798/UEpdj7oC+Nx8882A60iYyWF31FFHAa47nCjF1pzqRn/11Vc6R9bPhpTTf4bautPnQ5/bTJjCGkYNUFEKK/wxadZWBf5CbNlss3M+QRBJxwLgxx9/BFI7t0nBwxRSNqt6r6pDnvr5jBgxIvI4iq2wV111FQBnnnkmkFruZp111gGc5/Tyyy9Pea/uqyrq51N4rxQ2bLrvxfPPPw84O1wdB9W1UOVt1113XQD++9//Aq6fbC6fW1NYw6gBKmofNkztpazZCry1adMmtEt7NvJpjaEZUz1W5BWUsqpX0COPPBIUQ/eRIklZhbra3XvvvUBxy6JGRXapug2efvrpQPO90337+OOPAVh88cVT3qtnq8CQfJRVNnOcqPysVj7LLrts2tdNnTqVHXfcMeVnev7/+Mc/gJaF7tU3OIrfISqmsIZRRVSUDRs2FvXfVH/SQiJhKi1wXJ5teQ4HDBiQ8vt87PW4bFidW3vH7733HuBsNXUdTIfstilTpgDO/nv66acB1wEuH+J8hvJEq0lb3759AejZsyfgVjaZPnPad9V9ku2qXrm6Vr+/bibMhjWMGqAiFDabYsYZO1xuhfX38vz9VdngSr8rVrvJKLHJu+++O+A81FKSAw44AIDXX3899L0ffvgh4Dym8nqrUHumyKZsxPkM/UgztZK88cYbgdQesG3btgWcL+Wzzz4DYOWVVwZcc7QnnngCgMMPPzzfYZnCGkYtUHYvcRaFL+FIiseECROCbuy6XjV9lrLq559++imQn7LmQhQ/gOKXtSpQ07IDDzwQgNGjRwOpe9ZqeqxG3kJecK0oKgWNR/bm9ttvD7S0N3feeWceffRRwHnL/cgm7S3nEy0XFVNYw6giyq6wtYxsHqkruFXD1ltvnfLaSy65BIBp06al/LyQyKtckVLIqymlUCysvPWPP/44kNpaVAp12WWXAW6/WO/Vew477DCg5XVGQeeLE6mifAYnnXQSACuuuCIA++yzD+CimpLR/ZLfoRTPqmxfWH2Y06EPRrWiD+u3336b9bXaRjjuuOMA5+gRpfiiii5dugAuxUvowyzWWmstAB544AEANttss+Dfw4YNA5oDDcB9MfWFVthmPhRjOS3nlx9wI+dYWCAFOKeb0uZKgS2JDaOKKPm2TqbzacmTywZzHucveEtA4/RnfCUhSy1zQasKlcG56KKLcj6GKDRwQvffTxPzf6/l47XXXhssLTfffHPAOay0nfPPf/4TcM62QlYOcW7rhG1vZbsH4JxOWi3GuRqybR3DqAFKprDaTJaNlu68pdjGKUXghGZeJUG3adOGr7/+GnCzsJIBTjvtNMAlAUyfPh1wKYX5hGHmq7Bffvkl4BxFCnpQ4rVsWYUdyoG04447BoXH9tprLwBuuukmwCW7d+/eHXAJ4ZUWXqoiBAql1DNMHqeC/E888UTAhVvq2n/66adChxFgCmsYNUBF2bDVorB+qpts2l69egGuwFgU1Mfn+++/B1yYm2woBdpLqaIQV/D/22+/DUCPHj0iv2fUqFFAs+cYYMiQIYAL00ve4sqXUoaX6jO53HLL8cYbbwAu9VGrIa1EPv/8c6CwsEthCmsYNUDJ9mHDlLWxsbHoYXj5oMTmBQsWMHPmTMAlbo8fPx5wwfDyFkslN9xwQwDef//90OPLK3zMMccAzj6UfbTDDjsA0ZS1WEXGc1FWhetJWRdbbDHA7We+++67sY6tWChgQvao1HLq1KlBeVM954ceegiAQw89FIDZs2cXfXymsIZRRRRdYbPN+pWorpC6F5xcTA1almmRwup1mWwYP5BerTuk2irGJrsoClGUVbay7K64S80o5UwRQyp7ut566wHRSnuWEz0XFXxPh4qiqxSMEhpUhG3gwIHFHCJgCmsYVUXRvcRS0LBCVPX19YFCyBa48847Cz1tKFE9jMme4F122QWAoUOHAi5xWeVctH8pD2i6iJe//e1vgCskNm7cOMBFCykZ4NRTTwXcvqDs5FwodauOhoaGwAaX7adkbj1bRUBNmDCh4POV0kusvfQ333wz2J9WKRitUhQNFacPwbzEhlEDFE1h1d9UXs71118/7BzBzKT9SyURF4NcZ+fGxsZgn1XtMKV+EydOBFx8rFRSmSlXXHEFAM8991zg9fV56623ALe3J49vpnhqlRJVdJRPqRW2W7duwSpD49bfKndazDjbOGKJhVZW8kOoLYxWCFGOEQemsIZRAxTdhvWP7xe96tKlS1AWshTkOjt36tQpyO2UN1AlUl588cWU18pTqmuUEq6++uotCmsri0Wxt6ussgrgVLsQSqWwytAZMWIEO++8M+CUVXbeF198kfNxs+0rx6mwWj3Ja68Y7ihEKYGaL6awhlEDlFxh/aZQyTZsKfBnrsUWWywBLkMlE5r5VShN+66y0xUd9cEHHwAut/XJJ58MZmPlie65556FXEZGSm3D1tfXB/usslUV5aV7k09rjjDiVNh27doBrkKGvxJKh17z66+/5nvarIQpbEXUJS4lcTzsDh06AG4LY+TIkYArJ6LQxOQeowrV05degQV66HFW2ku+xvr6+sT/fhbb8YWupaGhIZiIS1HSJo5n2K1bN8Cl02lrRsERCkM955xzALjyyisDB1SmjgdxYUtiw6gB/vQKu+aaayYgs7NHVewVZlfplGNbR9t4Tz31FADvvPMO4JxrhRRf88lHYYuVIFEsTGENowb40yusrrHaZuBMlFphk9F9lJ2vkkBxhpuWuz9SKTCFNYwawBS2TNco77C8x3FSLIWtlFVIpTxDv1RQnJjCGkYNkFFhDcOoLExhDaOKyFgiphZsWN/u8m2Ddu3aJcAVRdPrNt10U6A55U9NohQYrpBEhbMpSkZRPn7f0NatW7P00ksDBAXdlL6l0D21e9B4tW+pYypIfcGCBcFx9913X8A1p7rgggsAmD17dqw2bDbbtaGhoSilfnRe/S1bsVJs2GJiNqxh1ACRvMRxegfL7Wn0Z66llloqJfh/1VVXBVxLibZt2wbeQLWoULK20umUyCDl1esVazx//vxAFf336H5IYVUSRq0tVI5GCtvQ0BCcZ8aMGSnnE7/++msLhVX5zkxFxkRYn9NiekVzwRTWMIyqoKL2YcNmcF+VC1Fpf+Zq3bp1IvncOqZsssbGxmA8yrBRwWjZvVJDZXPcd999gCsKPn/+/KDMqIqxXXXVVcHxgaDQmyKERowYAbjEainjeuutF6i/soHUzkP3ZcGCBWWLdIqKCo/nU3zbFNYwjKogdoUNs39yoZQRJA0NDQlwSiekAL///nuQpaOkbBU/U7SSEprl2ZU9rGJta621VtDkSmVOr7zySgBuvfVWAL799lsAjjjiCMB5fHUOvf+rr74Kkq5VFE5KryLe8+fPD1XYPfbYA4DHH3887f1JR7n9Dhqrxl6LCpttN0OYwhpGFVF0GzYXtfT33aRy8qzGsdfnz1yLLrpoSkUGnUMrhDvvvJPjjz8ecJ5aFRqTZ1f7tGq3IVtX9ufAgQODBscqiarjn3LKKQD07t0bcE2D1bpQbUB0H9u3bx+orXJ49bsoClsLFENhy72K8Cl5iRj/BujLpy+EPoitW7cO/i20xFOwgbqF+RvoPvX19VkdVv6NWHXVVRPgnDp6v963cOHC4Ivp1wrWFpCq3nft2hUgqAKpLZrVVluNjz76CHBJ8Kpze+SRRwKuFrMqLWrZqy+hWGSRRYIvu8yPgw46CIB7770XgFmzZtXUFzbbM6y2azz11FO55pprMr7GlsSGUQPErrByyMiJ4quTavo+8sgjQPPmv1REM6nvuNL/pc6FLFvCFFbjVveB5BrDOp+KrPnBDVoqa0ms12m8Xbp0CeoOq5axlssKwtCyVtese6HQRTmy5s+fT8eOHQEX5qgViZxc48aNi6ywUapWyiGn3kFaLYgddtiB559/HoDOnTsDroaz/q9VUi7PTufV89fnpKmpKWeF9T9TGpfCTXX/FeDy6quvAnDdddcB8OijjwbhpMOGDQNcz1sdWyuta6+9NvI1hmEKaxg1QE79YdM5kPy+IlIfbXWo5Ke2PBSuJ4WZMGFCsF2y3XbbAU4x9H8V8ioGsjcV5qfxqvbwrFmzgmAGzfi6D+rE1rNnT8AF4UutpcC9evUKtmd0/bpvOr9sfNXv1ayt+6mZv3PnzoF66TXa3lHv10xoxZO8gtD16Hh6djqeVFHPSXWX5WxbeeWVg7Kh06ZNA5o7JoC7r+otpGf59NNPA64DfTr8Pj2F4G8z9u3bF3Dba/IZaLwKdNG9zqVudTExhTWMKiInGzad61vKcN555wFuw//SSy8FnA2g92rWlj30/fffByri96bxbVp/WyefAAvfNlhkkUUS4ML8ZNPIXkn2EguNUysBzc5HHXUU4IIdttpqK6DZ1nnggQdSxqxr07VLRXRsIXtYx2zfvn0Le0urF9m7U6dODbVhM21f6D5ffPHFgOtc4L83F/zz+OeXDS+Pe8RjZrRh/VUEuFWIfqdEDgVjSPlvu+02wIWVqnjcnnvuGXRt2GSTTQAXBLP//vsD7vMQR1F4s2ENowaIZMP6HrbkWVLB2+qNesghhwBOde6++27AzWTbbrstAC+//DLQ7PkLU0gdQ/u0afbjogw/5Rp85HnUsaSsssGWXnrpIEBBe6Wvv/464AqobbDBBoCze/Q6JQGMHDkyuAbtv6rzmzqVT5o0CXA2rMal3ycHy/u2q8bu72cnI/tTtqRUefHFFw+uWXaaPL7+vndyQgS4VUFyWKdsdI1XquOjY8te1gpntdVWC+6vb3dmuj5wXlpdR/LnRb+Tjaq0Rd0X2bJSz2effRZwLT3q6uqCe6f7Jf+DVDusB3AuqO1LGKawhlFFFLQPW1dXF+xByrsqNZJtptlHaqD1vdQpXVczzbqaUX2FlfdVXlp/TBC9t2hjY2MCUsu5JL//jz/+CCKupB6yFfXawYMHA/Dmm2+mnOuJJ54AmvflFJooZdV75C2XzaQWF9q3lVJJdRoaGhg4cCDgVg1Dhw4FXGreDz/8EHkftk2bNoGC6ploz1TH199SncMOOwwgGMeLL74YqLJeu/rqqwOuzUkY48aNA1zX+hdeeCH4XVjSfa6RTt26dQtUUR3vd9ppJ8CtbDTupDI0KT9Pl8yiz7RsWCUpxJEAYzasYdQAsUU6+bOKFEt2j19mRd5YzVLeeQFnk+g1Ko2i38seySUpICyBXSsB2T/aS504cWJwfCmtZmu1HdQ9lL0m77CivcaPHx9cQ48ePQDYbbfdAGf3qoO5rlHHlJ2YnLKnSKMwb+TcuXNziiW+4YYbAJfaJ/tW16sx+XHN6ZqE+QkcWkloF0Ho+vQ58X+eiThjiXWN+ixlQisLXa88y1pVqiifPgfpPttRMYU1jBogL4VNnkV9D688psogOfvsswEXFaP9RNl/UqFklJ4mL6siiRRhc/rppwNuRpMKycbMhD9zde7cOQEuLleKp3GutNJKgZLoumV3Dh8+HGjusA6wxRZbpLz38ssvB5ptMd1n2d+6b7oPuk9nnHEG4PYn5SVOTppXiRjfL6Dx/f7775H3YYcOHRo0MVZzY8UkX3311YDzeueT3ij/g1YIundhXvsosc25Kuyyyy7bIgpMz0q7FUcffTTg7rtiifVZHDx4cBAHrr9l68t3oGep1VohHdpNYQ2jBsgpllhk2gdde+21Aecx04wqb+dJJ50EuGJkhx9+eKAQsgWkxrIVZWco/lR7mYpKKSSxXaqsY+j/OvfPP/8cjE/7jbJRNDu/9957gIvWkeJutNFGQHOO61577RX8G+CSSy4BCKJn5GGWamqlor2+5Bhkeal1HzTjyz+QCf+ZLViwIPC2S/W1YunTp0/KvYmCnr88yNqnlz9CKy8hFT/ttP+ZXxQAABEoSURBVNPSji8O0sVY6xnJA/3FF18AbkWQLjZAqx/he4HHjBkDuJiDM888E2hpvxdC7Ol1emD6UCmNTilheoD6Epx88snBjdDPll9+eQDOPffc4DXgNtcVuK3JIJf6RGEVJ/y6wXpwHTp0CLaeFMihLQt9cbW82myzzQC44447Ul7funXrYCmqzfU111wTgPPPPz9lfMcddxzQnM4F7oOjezNr1qwgrUvLeP1OS7LffvutoAR2LQM1aeWDtmf69+8POIeVnyrnf/46deoUmDphxOF00uR66KGHAu6zlgl9QfVM/AASffklOLqP/ucnCrYkNowaIHaFVWKwlnZykGhJJKWRSmy44YbBtoGcS88880zKex966CHALbO02T5gwADApXRFIUxhpahSTSltu3btWmzbSNEUHKLlnFYVWsJLeQ8++OBg5aEAiNtvvz3lmlRbWMkSSvRXQoECC0488cRg20VKpPHI2TF9+vQWCqttNK104q5hpFXR4YcfDrglv567HDNaFfhhlbkQh8JqlaTnLmeTXzQhuZSRltG77rprpHNss802gAuGyWWbxxTWMGqAohVh0wylzeWHH34YcLaCNp/nzJnTwsBXaKJsqJtvvhlwwQaataVOSl2L4kYPC03UfZAdmFyJUCF7spl1HqmGQtOkogqCUCkRgB133BFwQeeayVWRUZUQdU06h5RXoZ+DBg0K/i1nl59+mG5bxy/ZItq1a5d15t99990BF2qpAHmtksDZa36itwISpOxx1JouRRG2KCsQdQ+Uv8FPTtC1yjmqraMomMIaRg2Q17ZOJvxiYnvvvTfggtl79erV4vXJJUXBzdKaoVQYTRv48kBKNbKlXWVC55Bq+1sbrVq1CjzbKmOqLRd5BaXAW265JeBmZa0mmpqaAntc2zjynuua5UFUIInCHqWauub11luP0aNHAy6YQjWM/dDBZHxl1bVoXJmQsvr+BzFkyJAg8EP3TV53lV4tRFllC77yyit5HyNXotjW+lyGlbDRd0FJE3FgCmsYVUTRC4kLP9hbNo1UEmhRDEx/y/uppHJVydexZEMoyCATYcH/Ulgh1Z47d24wLqme9tXkpd54440BZ3PLwyv1nDdvXlDxX2GO119/PeAKtylhQPaibF2FZ2rPb9KkSYHHeMiQIYALqpAnOK7K/2F2nH6uVcF7770X7Cv76JlobzIOKqWQuO6D9nT1eVQQhkJp5b/JJYDCbFjDqAFit2FFNhsgWVn998gm8O1LBf3vueeegPPKSg0bGhryDlP0k+VFcviZlFWKr6B5hRvKXtP+rJR53rx5gZ0rD7ISvs855xzAzdbyAGvPT15WedVHjx4d9I5VKVatRJTwHYUoXtCw32l1dMIJJwCuUFwyKrmi5Hp53/V8yt3FPQ50f+R3UPit4gpUaFDKGsfetymsYVQRJe/A7hfKytTASuVU5G1V4oCURd5LeSij4NsGbdq0SUDLAnNi4cKFwc+kElI0eVo1fjU4kgKrgNdSSy0VxDvLzlEan1RRdo/2dp977jnAtcWQh3SrrbZq4bX1443nzJlTlGZYvpJrj1jKkoxWI7pOf+WSrhRpVCrFhhWKD5AvQ0n7+m4NGjQIgMsuuyzyMc2GNYwaoGg2bBjypCoud8GCBS0KgmtmUlqUMlxkG8rjqD3NZHw7IZvd4JdSlf2c3AtW40qOLwZXwEvXohWAsoqUXtXU1BTYuUpgV7K4IpukOJqtlZqntDudc+TIkS32oxVFlVzALAwpeJRkf/+5KF5YKxrZ18kKq/uslYGvrLns/4aNo9JQNF+/fv0AN05loannbxyYwhpGFVFyGzaKp0xeSO1Zag9SRcJUmmPs2LGAsz+jlJUMiyWWgimqKdnG8sfq24xJxwac4mg8jY2Nwc9UhE02qWKIZfPJey77XZk58jL/9NNPgR2s8+l+acyTJ0/OasPm47HUSkL73rJhTz/99OB4iv6S2ugZxpEVlBRFV1YbNqyxuF/YwW9Lo3I/UTAb1jBqgJIprBRDCqa//3eelNfKkyw7Ut41FT2TPSgFk/pEmcHCIp2kdDqnPNF1dXXBefw4aX/8+jtdmUu9V/db2S16jc4rO1nH0vuUvzllypQW4/Fn+nRe4rDIs2T80rRCeb6qhiElV7WMhQsX8uCDDwKuVYt/jDjzb+PwEvvPSteieHCtFEaNGgU0+w6UyyvkyZcPQfa6X1JI3nVdexRbPExhI31hC7nZfrkRLQ314ejevXuwxFUiutLr/F6qfu3jqI6lZPwb0alTpwS4m6uk8HQ3VQ9Xr5UTTGQahz7k+vDrGFoC+5XmFYyg+6b7NW/evOBLrnQ/jUNLrw8//DC4xp49eybAVbyPghITVIdKSzu/LrQCJ4YPHx6Mz3cchiETJJ/avf4zrK+vT0mRzAeZJHo+/vI2eeKWoGhylTNOX3YFvfjXVsjnVNiS2DCqiJIticO2W9LVNpaSaYvFT78rxM3vz1zdu3dPgAtS17GTQ+gUAKEyImF9UnVt6ZbO/n32Q/W0FaRVhrau9P/kCvlSXb8jgZZkP//8c+TAifr6eq666ioATj31VMDdfyUTyOTwV0lff/11cJ0KgPeX/kLBA0pYCDMvolDKwAmteHr37h0kZGi1NH78eMAFyGgLTuZVIZjCGkYNUJHbOnG8Jwx/5mrfvn0CnKqoNEuyikoNpQZSNnUoV7f5pHOk/N2hQ4fguL4K6/+yD+U407l8JW7fvn1wLP1Mr9GKY968eVkVVsqt0EFwjkEFRPh2tVLo5ASU8nbt2jUIy1RXct++j6OjmyiFwu6yyy6AKwiYCfXcUXnbODCFNYwaoOQKmwn1dFHIXzHwZ65WrVqlBE5I+WQ/L1y4MCivIm+pb1ur4r4C+OXhVdBDIpEIvMJSQSXhq+ypnoOvQPKYS/UaGxsDZfUDKJI6sRcl+D+MVq1atRh3vn6GYvTWiZv99tsPcMX/8iHXPsbCFNYwqoiMCmsYRmVhCmsYVUTG9LpyJwYXg3LbP7mSj4c8+Ror/fryodqeYT6YDWsYNUDJE9iN3DAfg5GMKaxhVBH2hTWMKsK+sIZRRdgX1jCqCPvCGkYVURVeYmWJTJgwAXDtLN5///2yjSlXFBOs0jiKB1YWi2KN8ymsXQmEFaarFuSNV8lStRRVWVaAiRMnAq6yRzmoqOB/HwXkK1FYdY0KSbcr96a7upe//fbbOn/K33GQb+BEWE0nTSZhfVDnzp0b9KZVSSDVjFYNZaUPxkEcz1DPQZ+tsB7DyRORhENf3DhTBn0scMIwaoCKWhJLUZXErZld+H15olDMWTAXtBrwC8sJLZX9PjU9e/YEYMyYMcUeYmjnv2wdxpdYYomg4JiuUx0Gs6WgZVPvYvHOO+9Eel3yEl/mSli5n1JcgymsYVQRFWXDZrNJ3333XQBefPFFAM4666x8zlEyGzZdErd/jXKkqRN7GOqFq2r7mYg7+F+rFCmJ7FX1RV1++eWDnj2vvvoqAOuuuy7gegTF6SAMe4Z+qdJMqO603zk+XZHA5J9nolh+iGRMYQ2jiqgohb399tsBV9TKRzaCZnOV3cyFcnmJ/X4ssqlVojSsa8FTTz0FuF41UShnep2vUEU6R07PsKGhISjfo/uvsqzbbrstEN75T2V+OnbsGNj42a4tjms3hTWMGqDkXmK1l5CiJBfd2nvvvYHwWVqFvFX0TPaf6NevX6BIPrIBy0GrVq1a7PPp/9q3DFPYXJS1nOiZ+MTZ2zW5mHo6XnvtNaC5S30yCxYsCDr8qT+QCuuFKavsdpV+bWhoaFEoT+PRyi9Kz91CMYU1jCqiZDasCnV36tQJSN+BW9En6p2qPUmVDe3Tpw8A99xzT97jKJeXeP/99wfgvvvuA+Diiy8GXNe0OCmnDVuKfdVCnmEhpXS1D6u2KrJvk/ejwXnTpcBqeJYLZsMaRg1QNIWVospW6969O0DQUCgZqc/9998PtNzz8o9VCKVUWDWZOvroo4MoLSE7S4XE46RUCnvDDTcAMGzYsGC/9dZbbwWcbV4M4nyGUVcEmb4nJ598MuDuRxyYwhpGDVA0hVU2irpUn3POOTpmi9c+/fTTgGtAlGYc+Q6jBeXYh21qampxDWFtGeOg1DbstGnTAi9s0nmLdr5cn2G6ViJCbUbl5da45R0+99xzAaeimdhhhx0AeOONNwAXEabWHlpBRsEU1jBqgKLtw6oV4ZlnngmktjVMpq6uLlRZZbtWK1LP+fPnt8g8qoXypbqGyZMnt1DYSiJTptYJJ5yQ8n9lHeXz2dtyyy0BF+uuvec4VxtF+8JqE1kb0N9//z3gulevs846AIwbN67Fe5O6sBVreCXh4IMPBuDuu+8Ofqb+qbVAchd1bXFoC65aeOKJJwA477zzANcfWF/YXEIttS3ph5/GGa5pS2LDqCKKprDaNNas0qNHD6DlDJaMZiIlslcrgwcPBuCCCy5o8btDDz20tIMpIlol9enTJ3AcCoUA3njjjSUfVz7suOOOgFshpDNZsimlnE6iGPWtTGENo4oo2rbOLbfcAsCRRx4JuPIjcr6kO28xtwJEMbd1VlllFcB1YtdmfKtWrYLr1criiiuuAFxSws477xzXMEq+rVNXV8dRRx0FwE033RT8DODmm28G4Nhjj43tfOUupCdUaG7AgAGA87n4DkaRSykZ29YxjBqg6MH/qu+qcpKaeeUtVvGx5N8Vk1LMzrLT/XDE/50PgF69egHQpUsXAB588EEgnjS0UimsrmX+/PmBR1ShpyoRo4J52uaLg0pRWJ9sW3WjRo0Coq2mTGENowYoWXqdX9ZFNm0ikaBv374AocnncVKK2XnrrbcGXCA8uD05FVvzi3splTB5xRGGglCmTZuW9veltmFbt24dhOOprKk85FJWFRKfOXNm1uMpcSCsBFClKqzS7r755pu0v89lBWkKaxg1QNEV1p9VdD7tyypJoFSUYnZOtu2geU/aV1SlYkmNd9ppJyBcNXOhVAqr/fI//vijRWL4jBkzAFdydMqUKYArflYIcTxDjVPjiSMZQ/dDK4OwUqlRlNYU1jBqgKIXYdOsss8++wAwcuRIAAYNGgRA3759g32rQppcVRK6nrfeegtoTrfad999AZdyJa/wNddck/LzakI229ixY4OA948//hhwPgulpfXv3x9we5HlihNXbPvLL78MuDKnuXzm/Pdqb13POGxVabHEhvEno2ReYtkImpVfeukloLmF5NChQwHXeiOOvcgwSmHDqn9tcsMl7TsrCkqeUCVKx0mxbVjFCT/77LNAc3qdvOBSMKF2k3recRDHM5Qqyisv5dd1aKWgz2KPHj2C18ruVQaaUvKEPOHylF966aVAbnvRZsMaRg1QMi+xZi4VcJ48eTIA2223XdAoqRR2TTEVVuVG1H5D17jPPvuw6667Aq5E69SpUwFYccUVgfC9u3wotsJqz1UJ223btg08o/o8aa94+vTpGkds54/zGWq8ishKF52WjV9++QVwJWzl6VcJW606crGTTWENowYousIqL3aNNdYAYPTo0QAsvvjiQHMETJTol7gohsIqSkmrCM2wUpUhQ4YwduxYwKmw32YkToqtsN26dQNcm4s33ngjKFUrX4Vvy8ZJPs/Q34GIYydCz1B2rvbd1XImn2LlIkxhK6p7XSmo1LC2OCln5f9SUMgzDOv1E+ULrPf4k5FEKayDfT7YktgwaoCSd68z0pNLcHw1MmTIEMDVpy412VQwzCkWpftenMqaDVNYw6gizIat8Wus9euDP8c1ClNYw6gi7AtrGFWEfWENo4rIaMMahlFZmMIaRhVhX1jDqCLsC2sYVYR9YQ2jirAvrGFUEfaFNYwq4v8BhFYLfO9U4IQAAAAASUVORK5CYII=\\n\",\"text/plain\":[\"<Figure size 288x288 with 16 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"\\n\",\"Iter: 3500\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 288x288 with 16 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"\\n\",\"Iter: 3750\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 288x288 with 16 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"cts99h238YVW\"},\"source\":[\"**Please tag the cell below on Gradescope while submitting.**\"]},{\"cell_type\":\"code\",\"metadata\":{\"colab\":{\"base_uri\":\"https://localhost:8080/\",\"height\":265},\"id\":\"LXCqUCIT8YVW\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1615300061942,\"user_tz\":-60,\"elapsed\":1338,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"d3659038-69ba-4c86-b2f1-a6730e942e54\"},\"source\":[\"print(\\\"Vanilla GAN Fianl image:\\\")\\n\",\"show_images(images[-1])\\n\",\"plt.show()\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Vanilla GAN Fianl image:\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 288x288 with 16 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}}]},{\"cell_type\":\"markdown\",\"metadata\":{\"tags\":[\"pdf-ignore\"],\"id\":\"ub_dwaY48YVW\"},\"source\":[\"Well that wasn't so hard, was it? In the iterations in the low 100s you should see black backgrounds, fuzzy shapes as you approach iteration 1000, and decent shapes, about half of which will be sharp and clearly recognizable as we pass 3000.\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"3CGtMV_b8YVW\"},\"source\":[\"# Least Squares GAN\\n\",\"We'll now look at [Least Squares GAN](https://arxiv.org/abs/1611.04076), a newer, more stable alernative to the original GAN loss function. For this part, all we have to do is change the loss function and retrain the model. We'll implement equation (9) in the paper, with the generator loss:\\n\",\"$$\\\\ell_G  =  \\\\frac{1}{2}\\\\mathbb{E}_{z \\\\sim p(z)}\\\\left[\\\\left(D(G(z))-1\\\\right)^2\\\\right]$$\\n\",\"and the discriminator loss:\\n\",\"$$ \\\\ell_D = \\\\frac{1}{2}\\\\mathbb{E}_{x \\\\sim p_\\\\text{data}}\\\\left[\\\\left(D(x)-1\\\\right)^2\\\\right] + \\\\frac{1}{2}\\\\mathbb{E}_{z \\\\sim p(z)}\\\\left[ \\\\left(D(G(z))\\\\right)^2\\\\right]$$\\n\",\"\\n\",\"\\n\",\"**HINTS**: Instead of computing the expectation, we will be averaging over elements of the minibatch, so make sure to combine the loss by averaging instead of summing. When plugging in for $D(x)$ and $D(G(z))$ use the direct output from the discriminator (`scores_real` and `scores_fake`).\\n\",\"\\n\",\"Implement `ls_discriminator_loss`, `ls_generator_loss` in `cs231n/gan_pytorch.py`\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"8rykTJkQ8YVX\"},\"source\":[\"Before running a GAN with our new loss function, let's check it:\"]},{\"cell_type\":\"code\",\"metadata\":{\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"id\":\"0_k3XCi48YVX\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1615300817292,\"user_tz\":-60,\"elapsed\":698,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"ea202c2e-f836-4be2-af1f-9d0f9da9da5a\"},\"source\":[\"from cs231n.gan_pytorch import ls_discriminator_loss, ls_generator_loss\\n\",\"\\n\",\"def test_lsgan_loss(score_real, score_fake, d_loss_true, g_loss_true):\\n\",\"    score_real = torch.Tensor(score_real).type(dtype)\\n\",\"    score_fake = torch.Tensor(score_fake).type(dtype)\\n\",\"    d_loss = ls_discriminator_loss(score_real, score_fake).cpu().numpy()\\n\",\"    g_loss = ls_generator_loss(score_fake).cpu().numpy()\\n\",\"    print(\\\"Maximum error in d_loss: %g\\\"%rel_error(d_loss_true, d_loss))\\n\",\"    print(\\\"Maximum error in g_loss: %g\\\"%rel_error(g_loss_true, g_loss))\\n\",\"\\n\",\"test_lsgan_loss(answers['logits_real'], answers['logits_fake'],\\n\",\"                answers['d_loss_lsgan_true'], answers['g_loss_lsgan_true'])\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Maximum error in d_loss: 1.53171e-08\\n\",\"Maximum error in g_loss: 3.36961e-08\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"RPxi7X7a8YVX\"},\"source\":[\"Run the following cell to train your model!\"]},{\"cell_type\":\"code\",\"metadata\":{\"scrolled\":false,\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"id\":\"WU6prEnC8YVX\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1615301114040,\"user_tz\":-60,\"elapsed\":288220,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"244ca810-a7c1-4115-9834-575b34bf89d0\"},\"source\":[\"D_LS = discriminator().type(dtype)\\n\",\"G_LS = generator().type(dtype)\\n\",\"\\n\",\"D_LS_solver = get_optimizer(D_LS)\\n\",\"G_LS_solver = get_optimizer(G_LS)\\n\",\"\\n\",\"images = run_a_gan(D_LS, G_LS, D_LS_solver, G_LS_solver, ls_discriminator_loss, ls_generator_loss, loader_train)\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Iter: 0, D: 0.2874, G:0.4841\\n\",\"Iter: 250, D: 0.1501, G:0.257\\n\",\"Iter: 500, D: 0.1601, G:0.3123\\n\",\"Iter: 750, D: 0.2216, G:1.592\\n\",\"Iter: 1000, D: 0.1791, G:0.2856\\n\",\"Iter: 1250, D: 0.1731, G:0.2328\\n\",\"Iter: 1500, D: 0.2912, G:0.01791\\n\",\"Iter: 1750, D: 0.1807, G:0.2163\\n\",\"Iter: 2000, D: 0.2378, G:0.1873\\n\",\"Iter: 2250, D: 0.2219, G:0.146\\n\",\"Iter: 2500, D: 0.2183, G:0.2347\\n\",\"Iter: 2750, D: 0.243, G:0.1994\\n\",\"Iter: 3000, D: 0.2345, G:0.1837\\n\",\"Iter: 3250, D: 0.218, G:0.1808\\n\",\"Iter: 3500, D: 0.2246, G:0.1635\\n\",\"Iter: 3750, D: 0.2545, G:0.1654\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"N_3hxVPF8YVX\"},\"source\":[\"Run the cell below to show generated images.\"]},{\"cell_type\":\"code\",\"metadata\":{\"colab\":{\"base_uri\":\"https://localhost:8080/\",\"height\":1000},\"id\":\"DFaVznq08YVY\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1615301126341,\"user_tz\":-60,\"elapsed\":9079,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"fb8fcfef-7938-4aa7-e602-58ca72ca5590\"},\"source\":[\"numIter = 0\\n\",\"for img in images:\\n\",\"    print(\\\"Iter: {}\\\".format(numIter))\\n\",\"    show_images(img)\\n\",\"    plt.show()\\n\",\"    numIter += 250\\n\",\"    print()\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Iter: 0\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 288x288 with 16 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"\\n\",\"Iter: 250\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 288x288 with 16 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"\\n\",\"Iter: 500\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 288x288 with 16 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"\\n\",\"Iter: 750\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 288x288 with 16 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"\\n\",\"Iter: 1000\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 288x288 with 16 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"\\n\",\"Iter: 1250\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"iVBORw0KGgoAAAANSUhEUgAAAOwAAADnCAYAAAAdFLrXAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+WH4yJAAAgAElEQVR4nO2dd7gURdaH33sBL4qCgmJCRRFdEyYUFUExZ0xrRsWc42Lcz5xZRUXFnDEHDJhzFsWAOYssKohrWllQpL8/Lr+umZrpmenpnrl3hvM+z31gZnq6q7p66tQ5dUJDEAQYhlEbNLZ0AwzDKB37wRpGDWE/WMOoIewHaxg1hP1gDaOGaFvow4aGhrozIQdB0JD5ut77WO/9A2hsbAxmvR/7XA0NDTpn4nY1NjbLv5kzZyY+l9/H8BqJz2wYRtUoKGENo16QJJ1rrrkA+P3334HSJWtDQ0PRY9OQrMUwCWsYNURDoVljdtB/6r2P9d4/mD36KEzCGkYNYTpsBUjT8miUTps2bQD466+/Io9p27b5kZ8xY0bBc+27774AXHfddeF7GldZgwtdp1KYhDWMWiIIgsg/IKj034orrljxa2T+tUQfO3ToEPs7jY2Nwaz9xUR9rOa9rcUxbGhoCBoaGoI2bdoEbdq0Cd+fZ555gnnmmSd8fcstt4T/33TTTYNNN9206Fg1NTUFTU1NqfRRf1U3Op177rkAnHjiiWmfGoCFFloIgO+//z7v55U0WGjJpKXZH3/8AcBqq63G22+/DcDPP/8MwLzzzpv1XX1Hy61ffvkFcNsQ+ryUrYPZzegUx3EiSl0pZams70yZMgWAHj16ANC3b18AHn300RJa38wcc8wBuGckz7XM6GQYtU7FJKxmEEkWzUZNTU06d7mnTkQlJKw/WyYxNnXu3BmAZ599FoBVVlkl9jlmNwlbTh/1/PXp0weAMWPGAG4FM/fccwNuPL7++uvwu0sttRQA7733HgA//PADABdeeCEAl19+ed5r5Xsuoj4zCWsYdUDFtnX++9//AtCuXTvA6WYrrLBC0e/GNZ9L3+vUqVN5jS0TtXP69OkAdOzYMfE5//Of/2S99u9BS6xM/vzzT8CNZffu3QEndbp27cqkSZMKnsMfU18X1wrsiy++SKXN/rUlwUaNGgXAtttuC7gVzKuvvprVPumjq622Wlb7Ab766qus80saf/zxx3mvr2urbyuttBL/+9//sj4rFZOwhlFDVEyH9c8rCSFrXCnf1b833XQT4Ga7VVddNeucmjW32267Us6dmg4r3UWzb5cuXSKP9SXj1ltvDcDYsWMBmDhxIgDvv/8+ACuuuGLe8/z444/MP//8BduVlg6r+y9pqD7kk/LS32WjiHqu9F3fxqGx1WqlSLsKjmGHDh0A5+APsOuuuwJw1113AU4qymrvo2dL1nnv+ll9+e233wD46aefALcC0Xe/++47AOabbz4AunXrFrmLEdVHYRLWMGqIRDpsnz59eP311wE3Cz/00ENZx2g2kv7jk6lfvPHGG1nf0Qy29957Z73O/G5LssACC2S1Q7qePyuPGDEi57v+fWrfvj3gJMy0adOy3pe10tdxK4Hu/8CBAwF47LHHstrmH9fQ0MANN9wAuL7qWI37fvvtB0Dv3r0BmDBhAlCaTSMumZIVmve877jjDgDOO+88AI4++mjArXRGjx4NED7Pa6yxBpCrvwNcddVVAOy8884AbL/99gAcd9xxWdfVikvPyeDBgwGYNGlS2e6rJmENo4ZITYc9/PDDAaeTfPDBB4Bb38v6Jl0nc4aRTvbjjz8Cbnb+5JNPAFh++eUB5x3066+/Zl1benEpztiV2Ie9++67Adhxxx2z3pel8eKLL+aJJ57I+13pqtrT85E1UTpXp06dQl0piqQ6rMZKeqba4FuqdVxDQ0O4wtLqQh5DOsbngAMOANyepa5VCnHHMLMNp59+OgCTJ08G4P777wdg6tSpgLNLSLJKJ89EbdWYrrvuuoDz4pOk1X265557so6/7777wl2UqN+f6bCGUQektg976aWXAm7/VRLh1ltvBWDQoEFZx2fOLPLN1Iy08MILZ51riy22AHLTemjmjJrFK4X24ZZYYgnAtVsSSHqnVhMbbbRRpASRVVjnkGS69tprATjooIOAZikNcNRRR6XYk/wceOCBAFxxxRVZ70t65rMd+GMgi6hWQ74k0ZjHkazl0tjYGN7X0047DYBx48YB7n5vvvnmACy22GJZ7cvU2yVtJX11H6TfrrXWWoALyfv0008B2H333QFYcMEFAbfqLKsvZX/TMIyqk7qnk/RReb5IZxCapfLtt2kWlqSSfiFLnv6V9U2zYpwoiTRYcsklAdcHSQlJIM3A+jdTikjf3WmnnQA362pfTrO0b3GMiuqoBLL0HnLIIYDTs0uxyg8YMABwvtAaU+2Ra0yrOWaZETiShrJOq08aFz2f8krSCqFTp05h5JRsLfPMMw/gVj+KQLv66qsBWHTRRbPaod9EKQndojAJaxg1RGIJq9lLM9U555wDuJn1yy+/zDq+FE8WWYOlu8ryrGttuOGGADz99NOJ2h4XWUJlldZMu8giiwBudSFLY6aFsWvXroCTrJrBFfkh3nzzzazjNMNLt6oGunavXr2AeHuF2h3wvyPJ2lJ752eccQYAZ511VlY7/BhXoTEdPnx4eLzsMnr+ZK1/8MEHAefRJG8qnVP3UXpzkmiuxNs6vtOAHmY9tPrxaSkSFcCdD20n+CF5+tHLuBOHSmzryOB2xBFHAPDRRx8BsNxyywHNBreRI0cC0QHoq6++OuDcLGV4U9/j5A9KO7xOE6XGVg4Dd955J9DcJxmd9Dy98MILAPTv3x9wBkQFaCTJ4ZtkDKMcFpZeemkAPv/8c8CpAdpanD59etjHv/3tb1nHHnrooYBbGut+rbTSSoBTibR1V8oP1rZ1DKMOSCxhfRc6odf6PA6SJv5WgbY0tEzRLK1r7bLLLtx4440Fz13O7OwbTKJQeJ3M9qXMpPfeey8AO+ywQ97PtaEvg0cptEQAu7+15S99d9ttNwBuv/32xNcqZwy1HNXytBha/mplkA8Zl/bff/+s9xV8oLHTFlcxh5dMTMIaRh2QmmuiHMWlv2nTWIYYX6mX9Jx//vlDNzEhXUl6sQKDNZNJV5COqBkN3PZH1IZ8ObOzpIVm6c022wxwIXFJkOTUbHz88ccDzkiifmTqiLpfMmT5VEvCapy+//77UPdWPl8hZ/s0k+6VM4ayoay88sqAs6VIDy32PT2L4LZn/Pu/5557+u0EnCExM8Bd9+WEE07I+o6etZkzZ5qENYyaJ2le4mHDhgXDhg0rmvdVf4XOpfyu4o8//gj++OOPYMKECcGECRMCn/bt2wft27cPxo0bF4wbN66sfK+lfGettdYK1lprrZL6UOxP51h00UWDRRddNF/7giAIgmnTpgXTpk0LX8e5dtz+Jf079dRTc8ZGDBgwIBgwYECq14s7ho2NjUH37t2D7t27J8r3PH78+GD8+PGRfR00aFAwaNCgYOLEicHEiROD3r17B7179w6/37Fjx6Bjx45l9VF/JmENo4ZIbR/W/9ffN5QLXrFkXZnIRU4O8MIP5YpDXP1nvvnmC617ckVTOJXCpZLUWJEFUZZl6UpyONH+YCkWZ1FtK/Gff/6Zk/qnkg4SccewTZs2OTsPfuJwPVOFXGf1mYI/FJiucymQY5lllsk6XpRa1wdy+yhMwhpGDdGq6sMqAPzxxx8HnOVUM5KfRiWN/a04fdS9koO+HNwV9qcZtxCSoFdeeSXgAv/9cZBE0PtRKXYi2llVCZvvGaqmhJ1VE6ck7ymNlVxCZS3W/dXn2ofNDIWL+q0oRcz1118PuOcyo31A+d5qmZiENYwaomISVjOsZh959JTCk08+CTQHfgO8+OKLAPTr1w9wfrbSh8vV72a1s+iXNfvKa0u6rGZjzcJyfF977bVLaUfWa/VJDuS6f3H0noxzt5iEPeWUUwA488wzK3m9svfSFZR/8MEHA84veNiwYQBsueWWQK60fvrpp8Nx3mabbfKeW/rxfffdB5SWdjcKk7CGUQe0Kh3WR21TwLrC2eKUXsxzzrJ1WN8DS2F/suRK8uo4WQl//PHHopFFfmqdJDpgpSWsyluo/0BOtE4lKXUMM++h2qX3br75ZgD22msvIPdZ0qrqmWeeAdzOQOax8ub7v//7P8CtItOo0G4S1jDqgFYtYYX8aeV3K//kYn6g+UgiYTPOEfu6UUha+cHN5SaanvWdquiwCsLv0aNH3oTblSLJGEr6ac9UaYZOPvlkwKVfVeJzrYwWX3xxhgwZAji/eCUViIpI69atGwD//ve/geyVYbFxNQlrGHVAaknYkkgEoaRVioLxdUbtmUUVMKo06puyZUjvVPkMzcaFUncqHlQJ5d59992C12qNSDdTP3v37l0VyZoEPZ/KCqLk9EKSVaiPSln61VdfhYnyVHJDUWJRElaS1T9nElp8STzvvPOGP0A/N68egiTpRHzSXBL7k5Re+5vuQRBUNXdypZbEL7/8MgDrrLMO4NIALbDAAuGPV5Orn3IlTaLGMI7Q8J0ZfMOmXGk/++wzoNmgqG1EhQrqu6qTFMeBpxi2JDaMOqDFJWwctBRNsiROQ8JWkiSpdUSlJGxU6p5ff/01TK5WjHIcQXwqMYbqk1YPUlVUlW+TTTYJUwAV46233gJczdtyMAlrGHVA1SVsKY7QMpsXqzReDq1dwqZBpbd15JKZmZqnmlRyDOXsopSkCpWDXIcdOU707NkzrcuHmIQ1jDqgpnRYIX2j2q6JtUK1nf+rTZpjGGXpr8S2WqHn1r+uSVjDqAMKSljDMFoXJmENo4Yo6Jpo+k9tYjps7WM6rGHUAfaDNYwawn6whlFD2A/WMGoI+8EaRg2RWgC7URhFfZx00kmAS2dq1A5K+aKIqkrE+hbDJKxh1BCtWsKqdMc999zTwi1JxowZM1hxxRUB2GCDDQBX5uPWW2/Ner8W+euvv8oqTFZLBEHAEkssAbhosgceeACA/v37Ay7tayXHsmrO/1HpUzJRniOl3JgwYQLgstOJfFWxS6WlNt2j7rMqxvuVzlpz1sR8Ve7l0K58XP6YpUlrGUP1WU79fi7ptMYwE1sSG0YNUbEl8WabbQa4zHHKA6vlgpYTmUiyfvjhh4BT8jVDKb2IZni9TiMbXZr4M6tqvWaiz5Tuxk8N0xqCMlRDJt9Y+WgsJHVUw+aQQw6pUOuqj+rwfP3114BbJUrCfvTRRwAst9xyQIVC9FI/o2EYFSN1CSvp8sgjj2S91r+SopnIYKGUG6rd6fPmm28CroqdX0O1kjVJC+GnTPHbs+SSS+bo28r4r9VEMZSZ/uyzz07e4Aj8lcGoUaPyfv7OO+8ALgVoz549wzy/quAXN0+x8gVfeuml5TQ9MXqWooxnjY2N7LrrrgA89dRTgFtV9OjRA3CV2aO47bbbANhtt93KbqdJWMOoIVKXsJqdta6PSqCtBGtTpkwJZzfNVFFrf0kl1YsVysCfeb00k48X44knnsj7/jHHHAM0W1Ol78iy+ssvv5R0blXEq1LNmqzX/orFXzmoahs4G4VQbRqthqT/+aia/V133VVusxOh52XllVcueNzMmTPZaqutADj11FPD9wDWW289INdWoXPLTvHoo48mb2/iMxiGUTVaVRK2YvtcsqDKeqyyCjGvUfE9PF/KDx48OFwVRLmzSfLKAp6EOPuw/fv354UXXtD3APj4448BJxUnT54MuPIVPh06dAj1eO2zy7ng+eefB5oTcc9qT+z++LTEPuzCCy8c+gV07doVgFVXXRVwVuNPPvkEcLqt7cMaxmxO1T2d8qWTlA6rUgiZOmk+pEt07twZcHu9cvcrRCVnZ0kkWU/z1UxVXzUbL7vssgXPJWkXh3I9nU4//XTA6aa+/eHggw8GYMSIEVmfNzU18b///S/r2G233RaABx98UG3K+leumtL/F1lkkVKbWVUJq4TivXr1CldMenb1WrsDsgJvv/32AJxyyikAnHHGGQAMGjQIcNXfC2ES1jDqgIpL2G+++QZormANbp9LM+9bb70VWoe1zxWFpJN0hHKoxuysSvHS62699Vb23HNPXR8oXthr7733BuDGG2+Mff1yJazaNn36dMD5N8tzp5C0j2ud96V1HKopYTN/HwsttBBAWHZy9913B2DkyJF5v6sVoOoHx7yuSVjDqHUqLmH9mde/3p9//ll0j9Hf201CJWdneftoNSHPrClTpoSWRemuCy+8MJBbVjLtcoxx+qe2yK/Zj4qSjWHjjTcG4N57740815xzzgmQo9umQTUlrPbBf/vtt3DlIYt+JT3rTMIaRh1QcQmbp8hP1uczZsyI1Ek1k8t3Mw2qMTvLsti9e3egeZZWv/1YUq0aJM2qvQ8763gdm/V+KaVBo/Cjj0qJhy6VakpYjeHXX38d3qfnnnsOgPXXX1/Xz/o3jSidKAlbdccJXW/48OEAHH744TkOEjJ2aAni1+VMeP3UB/uVV14BXPXuFVZYAXCO8Pnusfqqz0aPHg3AlltumfV50gp9cfp3wAEHAHD11VdnvS+Xus033xxwy1wtewuxww47ALlZQ5SdoZwq5S3hOBEEQbg8llupHyhQjR+sLYkNo4ZoMddEzeL7779/jutbMSf0JLTE7PzDDz+Em+tdunQB4L777gNg3XXXBVzfp06dmvh6cSWsQh6VoicNJI0VZinDlZbKUSuHxsbGoquKlhjDdu3ahWMkRx09l0rK8Mwzz6h9ia9nEtYw6oAWk7ADBw4E4P7778/R5/R6zJgxAKyxxhqpXbeSOmzfvn0Bp9tkBq37erpmaQUyaLbW5wrV6tmzZ865ilGuDtupUycAfv31V52n5GsWaAvg2q/gBzlj5HOGKRZM3lKOE7fffjvgHHx8W0tUErZyDG0mYQ2jDqi6hFUG/MGDB+sa4UyqtlxzzTUAfP/994DLlp8G5czOpVr//M/jpK6R25tmbYVyVSPN6aKLLgq4FKVJ0ApBUlL/qj/aJpHEVVKCl156CXDufIUoZwx9y30UciOcb775gHipa4477jgArr32WsC5nVp4nWHMprSqAHafo48+GoBhw4YBTgpJ8pZDEv1Hepbq4ihZtpwdJE20T6m0J4MGDQo/k4OEH7A+dOhQwM3s2hNtTYnEy5HEcsVcZpllst6X62U5qW+SjOEee+wBwEUXXQTk7kzoXzlFqJ0vvPBCjoOEv/JS+Nw555wDOBfVcjAJaxh1QGoSdsMNNwTg6aefLnhcoTIbcT1F8h1fLKQpDQujaqwoCFvSUnurPqNGjQoDun38MLu0U6hUe5UkS6hSocq9VKsOP/m7pJDCMEshyRgqOZxS1rzxxhuA24PWjoT2izOfraixUZ+UuCAqTW8cTMIaRh1QMR3WP6+/33bYYYcBcNlll0Wew/enTTv0DOL1MTPUCqJTfuhzHQ+5vsNaichLRrO3wu6S1I9NW8KWU3ys2CrpvPPOA9wOQBxdPckY/vDDDwAssMACsa/rj6Hui/bMZdNII6GeSVjDqANSl7D+3qO8ZxTJ4pfwePXVV8PgbqWKiZKkpe6lFWlfxb1kdA+UjCufbqtZ2JdaSi+TxKe4JXVYpf656qqrAHj44YeB3IR0SiTfUqlqdV1J2qgEa//4xz8A+Ne//hUmB9RzKYu+z9JLLw0kq9BuEtYw6oDUS3WoIJBmKKVJkf+lZh1JoT59+uRYln3Jqv2/JJK1mvjxu5neXMWCwYtJ1nnmmSdR8Hel0LjLY0mRK75lVV5skmzlSNg00NjoXz8pnFYCehYvvPDCks+dRLIWwySsYdQQqemwt9xyCwBHHnkk4PZB//73vwO5xY7kQzp27NhQb1PUg2+NS5OWiKWsNtXWYeeee+5wn1X/yic6o02pXW92G8NMUlsSa4tjp512AtwPVFWpfbSxDm75oeWTv31S6zQ0NLSKiuppo4n1119/DSsVyEk+ThoZo3RsSWwYNUTq2zoyJmiDurUxuy2nWlv/ynHC8JndxjATk7CGUUO06vC6SjC7zc4t1T9tT8mgmCaz2xhmYhLWMGqI1B0nDAMqI1kNk7CGUVMU1GENw2hdmIQ1jBqioA47O1jf6r2P9d4/iNfHNAtW+SQpYOZjVmLDqAMSW4n98CnTiY3WTCWfzzQkazFMwhpGDRFLwuZbo5tENeqZNFL2pIlJWMOoIWJJ2CRrdOm6SsL99ddfRx5jUttoad5++20AVl111fA9JRdX+tJq6Kw+JmENo5YIgiDyDwjS+mtoaAhm7Zdl/Z144ok577Vt2zZo27ZtMMcccwRzzDFHzncbGxuDxsbGstpRyT62lr9q969Tp04t1r+kffSfJT1zeq1nr0uXLkHv3r2D3r17B01NTUFTU1N4zJAhQ4IhQ4ZEPuNx/nSOqN9kQdfEWR3JyTVcJCQv6xjlbv39998BOPbYY4HmPK/QHMjcq1cvwNXnufjii4HcfFA6t5+BMLM9HTp0yLqejzlOVIYvvvgCgPXWWw9wFeYrQbEx9Cuj50N1kT799FMALrnkEsBl+RSqUNC3b18+/vhjXQ9wap0MUsqbLd566y0AVlttNcAZbcHVFMqnGkJuH4UtiQ2jhihodIqqKJ4PzR6afc4//3zAVQm7/vrrAVePMzNFiPINjxs3DnCz32677Qa42U91Z3Qt5YzNlOpRktWoHD///DOPPfYY4CRrmm56ccknWWUwmjZtGgBTpkwB4LbbbgPcyuypp54C4J577gHcM/nOO+/kSFZVkxf+SlT1jPPlpI6SrMUwCWsYNURBHbZNmzYBRM+Smek7VU9EvP/++4DTJzTDScJOmDABaJ6VVFtHtVKVGvXee+8FmuvvQG6lO11b2ebXXnvtovp2JXRY/5p+orHFF188XEWopo7+1Qy+8sorF7yG0ohKjyrSnlR12MmTJwOE4yTpqRpIhXTFNOrd+sQdw8znVNJONhTl0VY7/RpA0k9nzJgR1g1SFXcffVdjq4oV33//PdCcDhaa68dOmjQJiF6JmA5rGHVArCRs+epeau2vmUIVvjQz6Tv9+/cHXMVrVbX75ZdfwrX9IossAuRW49bMpXPfcccdAOy///6A2+Tu06dPTvUxX9qlKWH9eydLqarwHXfccQCcc845YWLtLl26ALm1QyWltBIR0sllgSxF90lLwqoqvMZKScH79esHwBNPPJHznb59+wLw8ssvA+75KObaF8dpJskY6v7qeXjttdcA6N27d9b7O++8MwA33ngj0FwDSKtIPXdXXnklAM8//zzgKjQ+++yzAJx77rkAnHnmmQBcdNFFADz55JPhs1xqH4VJWMOoIRKlOR0xYgSHHnoo4PbfNBvLCjd27FjAWeckiSVVF1xwQUaNGgW4WU6zraTS3HPPDTh9WA7ZkgA77rgjAPfff38o0fVdnzQkrO6Z6gdpT03tUR+XWWYZoLmamSzaTz75JOBKlRx//PFA80oDoHPnzkCyKt5JJaz2DbViUNuEVgOSuH/99Vd4L1RPVbVxt95667iXL0rUGJYipaXDCr+a4Prrrw+4VZtWBosvvnjopjhy5EjArd5UgU81b4cOHQq4sc3XnmJWdJOwhlEHJJKwmdY3zS6SMr4Xkj+jbLvttkCzhfe7777Leu+hhx4C3D6rZkXN3vvssw8Ayy23HOAqnB9wwAHh9aNIQ8Iuv/zyAHzyyScAfPbZZ4DT0zXjyjK81FJLhX2RZVUrAN0XSVShFYp03kwvmWIklbBR3mIaU+mpkiTbbrttqJNJz9MugVZDUSueckgyhpm2k3zoGdQKSGPYsWPHHJ0+qtavdkBkk9EK0b83hTAJaxh1QGqlOjTbykNEnk3yVnr33Xd1TgBOOeUUoHl/UYWzJLmkQ2233XYA/PTTT4CTMksuuSRAuC+22GKLATB+/PiiVsY0JKws3dK51Te1O7Py+qxrFj2njtG/ktIqLhaHtKzEN9xwA9C8coHcAlaZ/fP7uvrqqwPOhlFqBfpSKGcMtYLR2GhfWxb93XffHYCbbroJgOHDhwPuWQuCILT6Xn755QBMnDgx6xp6jtdcc03ASWetWJJYwoVJWMOoIRJLWOlkJ5xwAgBnnXUW4Ioy+/tva6+9dtbrV199NYzOOfjggwFYd911ARe1s+WWWwLOU0TICvvhhx8Cld/Dky4ifW3jjTcGCHXwUnQTX5eP8sySBVK6bxzS9nTSGJfSFklQSdQ777wTcPuavk9vOZTj6STULvVFlm7p2q+88grgnq2Ma4bPn3TYzM8yr9OnTx/A2R8effTREnqVjUlYw6gDEkvY22+/HYBdd90VcDOYdAbNpL61+J///CfQ7AUkXVQSVfqwZqpll10WcH600qU080talSIB0tBhNSsnsXyqzcOGDQPgmGOOUXvKPqeodDyspL+ip7755ptwnDUmeg5agy+xd6zOkfX+KqusAjjp+dxzz8Vu13vvvQe4ONi9994byB+fW0yfjZKwifMSyxF6rbXWApyrlx7Inj17Ai5QWIq6BvvLL78Mf5AyMskR/umnnwacC9yLL74IOOPOV199BaRjyCgF36FDaKnUsWPHrOM0GCeffDJnn302ANdddx3gJq6jjz4acC6HO+ywA+ACH1oDcsE76KCDAGfsk1NEEAShg4f/Q9XErR95S4c/+j8QtVc/Nt+xQurP3HPPnVPz1l8Kr7TSSoB75uWaquAJ0djYWHbYoS2JDaOGSLwklqFoxIgRqTXqkUceAWCDDTYA4NRTTwXcUllIomlWzAwkKHWpUe0UMVpOS9Jodr766qsBOPDAAxNfo9opYgYMGMC1114LOKOS1BO5baa5NI4aw0LGMQWTK9QtipNPPhmAM844A3AGzcmTJ4eGM42db1DVM7f55psDbtW0yy67AHDBBRcApalSZnQyjDogloT1leeGhoZwPa/QIoVVafaJ2jBXcrbllluOMWPGAE7x16wm5wG5eGmWloP8FVdcAcCmm24anlfSWbNcRl8AmDlzZtUkrHTyO++8Mwyx0swtNONLp0+DaknYTOOfH/jtUw0JmwTly9Z4aFtSQQDPPPMMe8km6M4AAA/8SURBVO21F+BWekcccQTg9HQ949rmk53i0ksvBVyqo2nTpvHtt98C7tn2MQlrGHVArDSn+fB1L/9YzTJ6P1/YmKxrcnjX9o1mLFmNJb3l/ignDQUUn3/++VVxTYzL6NGj2WKLLfJ+5qcVSYNKS1jfCj5+/PhQV/XR2JbiVFIq5Yyhn8ggCgWeyClGq7+NNtoofB6VqE2heOL0008HnNutgkP03B522GFAswuutn6iMAlrGHVALB02Xy1YWQU1w2r9rv0rP/xOUjQT6caawWTlk9O/ZrStttoKcPuyCoWSdbCxsbFgQrBZ7am6hJ0yZUq4Ia+26l6m4arnU20rcRAEOS6JlXCYyLherDFs06ZN2D5Z6RVUcdpppwGw7777Am6PeZtttgFyEy6Ac51VEIjvHKS+K/Wr7Cl6Xtu1a8f9998PRDv7mIQ1jDoglqdTPi8RzRDaa5I0lOeIJK0kq0KPFHbV2NgYnnf06NEADBkyBHDO0womluVOaMbSrDhjxoxYjuqVQulaFfA833zz5QSgaxZOU7JWC6U7lQfP1KlTw92C1kimdJQk1c6Cgs2lZ6ofsinkW7G98MILgBvDzz//HHAB6hpTuZ1Kb1ba08mTJ4fP8m+//RarLyZhDaOGSJwiRuy3336AC1x/+OGHAWdtU9CvEjdrj/Khhx7KkYZ77rknAFdddRXgZi6lP1XQsTxGlJS5FFpChw2CIAyOULhZKaGACa5XdR02SmfVykupaVO6XtbFiu1mZKYyWmqppQDnJff6668DuVZ69SdTEsp3QFJRvgayQMvGohWf9GRdU5bhUvyITYc1jDogcbSOZi4VFZLephQhSn+pf1VCUsmXBw4cGKY51ax2yy23AM77RB5PupYCyfOVNGwNVdw1E2umhXQlTGtBZVfA3W9ZYaX7VaPfxcZ6oYUWCncvvvzyS8ClcFXiBUlYhYtKD1Ug+6RJk8K+KRmgJKt8CpQySK+1ApRklTfb5MmTi+4HR2ES1jBqiNTSnGqGkgVNXkiy2mrv1C8VOX369DAqR0HDfvoUzeSS3kqgpeRn+doTRUtF68hPWhbvStISBZ113xUzK/tDha5V9hjqeVTctkpGqiSHiodrxajndOTIkRx++OGA82DSs6wVojyZlH5Xklix0LJWNzU1xfYXECZhDaOGSM1KvNNOOwFuhtJn8nDS3p0sZyoYlBnJr5hazdKaDYUkr+9VEyfjRDUkrK9HlyL506TSEta/70EQhFEu0uu051hMkpRDOWMojzLFtCqdqcZK/8qiq50HPa9jxowJkwHKxqJnuFevXoCLWBNKv+sXdyuFKAmbWl5ioeWrDEXCdyOUQ3/nzp3DpYY48cQTAVcP1j9Xkhy31fjB6qHVvf3zzz9ztj00mNq4T5NK/2CVUED/NjQ0hEtHbYNogi7nYS1G1BjGqfo+cOBAAB544AEg95mSiqdaSJMmTQpzbKuvMi4qwEHOF5XIvSxsSWwYNURqRifhO/n7roJy29NSqVC6DH/Wk1T2jU1xqKSElYO/AuulJvTs2bOkuq4QT0pEUSkJq9WTlouqDDBlypTQnbQaxB3Ddu3alb2NUgp+vmpt32grqRxMwhpGHZC6DlvgXED+cCUfmcGVECtNqqHDakujUEI1ucb51QzSoCW2dapJJfIS+5/7z2m+1WQaoZFRKyqTsIZRB1RMwlbSRTDftkmp12rpNKfVwCRs+L6Oj/ws45ypta8c/NRJJmENow4oKGENw2hdmIQ1jBqiYHjd7Kz/1DKmw9Y+psMaRh1gP1jDqCHsB2sYNYT9YA2jhrAfrGHUEFX/wTY2NuYk1TYMozTsl2MYNUTVfrBt27albdu2zJw5MysywU8DA81+lXPMMQeDBw9m8ODBNDQ0ZPl++q9bO1G+rLXUh0Ko/IVReSoeXuc7YBdK76K8rm+++Sbgctqq8rWCkP02x3GvrMamuzLAq/rBrOvmPXbrrbfOOTYplXac8HNqzbpO1r9JAvCLpQCqpuPEp59+CjTnJ9YYaqyU42mzzTYDXGZQIYd+1dg59NBDS76uOU4YRh1QMQm7/PLLA/DRRx8B8aRghw4dAFcVTKlJNPNK4qrG5i+//FLyuasxO6tyn5JzNTQ0hClidD9UPU3ZBpVWJA3SkrDDhw8HXL5dn5Za0ldiDP2VoL9CiNNXHauUQXGeT2ES1jDqgNQkrD8DHXvssQCcd955QH7jklBith133BGAa665BsiVsEq54leA0/GqoFeISszOqmbm168V66yzDo8//jgA/fr1A1x1+fHjx5d0DdUZKuX4ciWsxki61++//571+fbbbw+46oJKMpcvwZlWQ34Vhyh0zptvvrloOysxhmpfkvrCOodqPr3//vsAbLHFFlmflyKtTcIaRh1QMR1Ws7RmWqUzVZLtzMpfms00u0WlpFRCcSUw00wla/KgQYNYYYUVAPjggw/yniPN2dmvot7U1JT38yAIwoRdSgGiDPSqlhaF7tOSSy4JOKtlIQpJ2EJpVPNl9M+HbxHOd5z/Xs+ePQEnbS699FLAVXFffPHFgdISmqU5hkp0rkoFhZx6fMmoldWyyy4LuFqzqq2jio26r/p+v379wqTjUZiENYw6oGppTjPOmfW6Xbt2rLnmmoCrfBeVZO2pp54CXCkP7ddm6h3FUk+21uBnP0l3EuLosJ988kkoIXS/x44dC7gavxnnKnptSecoSZWGZbmSY6iVh/8M/vDDD1n1cPPhr15UZfHjjz+O3Q6TsIZRBySuwF4q/oyVWc5AkvXCCy8EXF1NfzZef/31AVcG5OijjwZcqYQzzzwzUVLnpCRJ7ZqGZC0HSVdwqxLpc6rcpvtdqH+yK2gPXTYLrYIuueSSrOMldXT9lnbTlJXab4cqtmtPPR+q/fv2228DrgyNbBprrLEG4O5FEkzCGkYNUTEdVuv5pZdeGsi1bu69995A86y0ww47AHD88ccDzsKs4kLSUVVcqEePHkB5kixN/Uf7x6oM76N70K5du4rUSY2i3H1Y3U9ZsjUOxxxzDOB8YvOx3XbbAa5Q2SGHHAK4esFjxozJOl4rimJ6YUQ7E4+hfLhVbtL3gZZ1XpbeG2+8kaOOOqrgOfWc6rlVYTi9joPpsIZRB1TdSqwiuPvssw/QrCPcfffdgNuvuvjiiwHCGe2EE04A4Pzzz098/UpaGEvRYTVzV7L8YVwJ6+9/yyZwzz33ALDNNtvovIArMzlo0KDwHBo7HSMdtm/fvoCzPPv3ptgqJR9pjqEKanfr1i3v5/IDVjvBSeHu3bsDrpCzinRr1aBCZ4VKqkZhEtYw6oCqWYnFIossAsC5554LQK9evbLiKsFJVlnmMi2ZrZlCktX35qpkucm4SLJqhaD7vdBCCwFub1WSRZI1MxrFj3LZfffdAWcZVezo5ZdfDjg7RBzJmgayg2iXQrHL0r21jy+pKM8scFFYG2+8MeD8un3Lsm/xT3NVVfEfrF+VSw7RmZ249dZbAdhjjz0AZw7XNoPO0VrZaKONAOfYoa0NOc+vssoqoXFDAQLFfqiVrP4XdS3f2KT3P/zwQ8A5AuhHmekc4bs6ajkd1X65mWYuNauBH8aoH+pjjz0GuGB08corrwDN/bv33nsB6NKlC+Duj5bGcr/UD1v3U4arNLAlsWHUEFU3Oon11lsPaA6Vk9l7t912A+DZZ58FnBSWxE1D2rSUa2JU2Jb6lua2T1yj09SpUwGYa665Ch5XLHVLJr6Ln5CUUqikJK2c/7t27VrUwaCSYxjVx3wV2EW+FUcm/iqzFMzoZBh1QCwdNg29ShLloYceApp1OulICk/q06cP4AwAraWGbdz+Z4bdXXbZZYAL+pbpX9LNN7xp011OCyeddFKSphdEklUrGq0GZHiZc845s1775JM+kjb++0q0p9Q4Ok79/+abb2IFeselUHghFEz8lvOeDGf7779/3mtIt5VkVWA7uHuu8S8Vk7CGUUPEkrD5Zpk4eg04q1vXrl2BZpc1pU2Rxe6ll14C4LPPPgMIg9JbilIlq58WRSuEhoaG8D1tBehckqCalZdZZhnAOcdXUrIKbd9I6vnbD8U2/vPdF/XXD4ZXqhuxySabANkO85UMBEiSflXtUhobOYUstdRSWceNHDkSgF133RVwzhfaBoP4klWYhDWMGqJqVmJfEktPHT58eGghVIBA//79AbjtttsAZz0uFpze2NhYdAZNYmGUQ4FSlvqW3Sjdq23btqF1WCsLpUYRCmlTatGzzz4bcC59cahUIvFynD2UgkVuez7lSNPWmoRA6BmXLSCNIBVhEtYwaojUJKy8P5S+M0rSyetDwdGTJk3i2muvBWDUqFEAvPbaa6VeNov27duHTtxKkeqTZHYudc9U4YLSyb/44gu+/fZbwOmLUWlA006hUm3po8ABJZLXykIrBXmzKeDjlltuAVxSulJIMoa+i6h/v0uRhjrGD/DXWCqkUDWHVKLjggsuKLWZJmENox5ITcL6OqosvNqrUmic0ltKAvbo0SN0AK9Gepcks3OURVySVPdSKUNWW201AE499VQGDhyY9R1ZEKWn+5boqH3MUkhbwirYW/62pTixR3k6CVmepdvK46kUkoyhb0MYMWIE4NISqV35SnX4Y6E0p1pV+Hu8SVZLJmENow5I3Uo8btw4wEkZvwSCvD6k844fPz7cz9J3oyjHJ9OnJSyMQRCEYVqPPPII4KS1LN/alyvml1ri9VpMhxUKo5w4cSLg0qRIGilETRFOcUhjDH3/ad/jSqsIfZ5ZtiRfuU3I3TNXCGk5mIQ1jDogsYT1dS0VTJIFTYWrtN6XpFUM6ejRo8P9zaiEy8X8P+OQxuzs65t+JE4+XVcB3fKCqSQtIWE1RroX6rtWWtLZpQ9rtaQSJHFIYww1drKlKFmg/7oUFP9crvdSRPtMwhpGrZNIwmZ6FmmW8fcoNZM++uijgPO7lHdT586dQwvh0KFDARgyZEi8XsSgJXTYzPsU1/e6HFpSh/WTaF933XWA0+e++OILtbHsayQZQ+miel6FMk2svfbaAJxyyimR5yi2l5sGURKWIAgi/4Ag7l9TU1PQ1NQUzDXXXMFcc80VNDY2Bo2NjcHMmTODmTNnBmLs2LHB2LFjgx9//DH8js7RsWPHoGPHjrGvXcpfGn2M+zdixIiKXyOqj9W43qabbhq0b98+aN++fTBw4MBg4MCB4TgPHTo0GDp0aKsbw+nTpwfTp0/PPGcQBEH4vB555JHBkUceGWTSrVu3oFu3blUfw8w/WxIbRg2R2OjkG2BURV1JuPS5HCgUaqQN7Kg6rpWitTuOp0Fr2NaJQkHdCqAoh9Y+hmkkejCjk2HUAS2WhK2laO2zcxq0Bgkb5VyQBrPbGGZiEtYwaoiqZ/43Zg8qIVkNk7CGUVMU1GENw2hdmIQ1jBrCfrCGUUPYD9Ywagj7wRpGDWE/WMOoIewHaxg1xP8DVEV5j9MwsiMAAAAASUVORK5CYII=\\n\",\"text/plain\":[\"<Figure size 288x288 with 16 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"\\n\",\"Iter: 1500\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 288x288 with 16 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"\\n\",\"Iter: 1750\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 288x288 with 16 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"\\n\",\"Iter: 2000\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 288x288 with 16 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"\\n\",\"Iter: 2250\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 288x288 with 16 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"\\n\",\"Iter: 2500\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 288x288 with 16 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"\\n\",\"Iter: 2750\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 288x288 with 16 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"\\n\",\"Iter: 3000\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 288x288 with 16 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"\\n\",\"Iter: 3250\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 288x288 with 16 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"\\n\",\"Iter: 3500\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 288x288 with 16 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"\\n\",\"Iter: 3750\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 288x288 with 16 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"CQqfZXgw8YVY\"},\"source\":[\"**Please tag the cell below on Gradescope while submitting.**\"]},{\"cell_type\":\"code\",\"metadata\":{\"colab\":{\"base_uri\":\"https://localhost:8080/\",\"height\":265},\"id\":\"PuoR9gF88YVY\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1615301207853,\"user_tz\":-60,\"elapsed\":1286,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"310c6988-a81e-48aa-a09c-1b99e296f1d8\"},\"source\":[\"print(\\\"LSGAN Fianl image:\\\")\\n\",\"show_images(images[-1])\\n\",\"plt.show()\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"LSGAN Fianl image:\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 288x288 with 16 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"RfhB4K2y8YVY\"},\"source\":[\"# Deeply Convolutional GANs\\n\",\"In the first part of the notebook, we implemented an almost direct copy of the original GAN network from Ian Goodfellow. However, this network architecture allows no real spatial reasoning. It is unable to reason about things like \\\"sharp edges\\\" in general because it lacks any convolutional layers. Thus, in this section, we will implement some of the ideas from [DCGAN](https://arxiv.org/abs/1511.06434), where we use convolutional networks \\n\",\"\\n\",\"#### Discriminator\\n\",\"We will use a discriminator inspired by the TensorFlow MNIST classification tutorial, which is able to get above 99% accuracy on the MNIST dataset fairly quickly. \\n\",\"* Reshape into image tensor (Use Unflatten!)\\n\",\"* Conv2D: 32 Filters, 5x5, Stride 1\\n\",\"* Leaky ReLU(alpha=0.01)\\n\",\"* Max Pool 2x2, Stride 2\\n\",\"* Conv2D: 64 Filters, 5x5, Stride 1\\n\",\"* Leaky ReLU(alpha=0.01)\\n\",\"* Max Pool 2x2, Stride 2\\n\",\"* Flatten\\n\",\"* Fully Connected with output size 4 x 4 x 64\\n\",\"* Leaky ReLU(alpha=0.01)\\n\",\"* Fully Connected with output size 1\\n\",\"\\n\",\"Implement `build_dc_classifier` in `cs231n/gan_pytorch.py`\"]},{\"cell_type\":\"code\",\"metadata\":{\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"id\":\"_GESo5Us8YVY\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1615305946307,\"user_tz\":-60,\"elapsed\":1103,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"4b7353b5-d9e5-4e25-f620-0f36ca73fd2d\"},\"source\":[\"from cs231n.gan_pytorch import build_dc_classifier\\n\",\"\\n\",\"data = next(enumerate(loader_train))[-1][0].type(dtype)\\n\",\"b = build_dc_classifier(batch_size).type(dtype)\\n\",\"out = b(data)\\n\",\"print(out.size())\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"torch.Size([128, 1])\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"sH7yjIbP8YVY\"},\"source\":[\"Check the number of parameters in your classifier as a sanity check:\"]},{\"cell_type\":\"code\",\"metadata\":{\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"id\":\"H7raFWo68YVZ\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1615305948089,\"user_tz\":-60,\"elapsed\":717,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"3fb680fa-b511-4614-9558-9406a7b8954d\"},\"source\":[\"def test_dc_classifer(true_count=1102721):\\n\",\"    model = build_dc_classifier(batch_size)\\n\",\"    cur_count = count_params(model)\\n\",\"    if cur_count != true_count:\\n\",\"        print('Incorrect number of parameters in generator. Check your achitecture.')\\n\",\"    else:\\n\",\"        print('Correct number of parameters in generator.')\\n\",\"\\n\",\"test_dc_classifer()\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Correct number of parameters in generator.\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"dBAxG05-8YVZ\"},\"source\":[\"#### Generator\\n\",\"For the generator, we will copy the architecture exactly from the [InfoGAN paper](https://arxiv.org/pdf/1606.03657.pdf). See Appendix C.1 MNIST. See the documentation for [tf.nn.conv2d_transpose](https://www.tensorflow.org/api_docs/python/tf/nn/conv2d_transpose). We are always \\\"training\\\" in GAN mode. \\n\",\"* Fully connected with output size 1024\\n\",\"* `ReLU`\\n\",\"* BatchNorm\\n\",\"* Fully connected with output size 7 x 7 x 128 \\n\",\"* ReLU\\n\",\"* BatchNorm\\n\",\"* Reshape into Image Tensor of shape 7, 7, 128\\n\",\"* Conv2D^T (Transpose): 64 filters of 4x4, stride 2, 'same' padding (use `padding=1`)\\n\",\"* `ReLU`\\n\",\"* BatchNorm\\n\",\"* Conv2D^T (Transpose): 1 filter of 4x4, stride 2, 'same' padding (use `padding=1`)\\n\",\"* `TanH`\\n\",\"* Should have a 28x28x1 image, reshape back into 784 vector\\n\",\"\\n\",\"Implement `build_dc_generator` in `cs231n/gan_pytorch.py`\"]},{\"cell_type\":\"code\",\"metadata\":{\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"id\":\"cQhujzmQ8YVc\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1615307498038,\"user_tz\":-60,\"elapsed\":845,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"cdff3420-be7f-479a-f186-25c148ecf0b5\"},\"source\":[\"from cs231n.gan_pytorch import build_dc_generator\\n\",\"\\n\",\"test_g_gan = build_dc_generator().type(dtype)\\n\",\"test_g_gan.apply(initialize_weights)\\n\",\"\\n\",\"fake_seed = torch.randn(batch_size, NOISE_DIM).type(dtype)\\n\",\"fake_images = test_g_gan.forward(fake_seed)\\n\",\"fake_images.size()\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"execute_result\",\"data\":{\"text/plain\":[\"torch.Size([128, 784])\"]},\"metadata\":{\"tags\":[]},\"execution_count\":116}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"Fpxbynen8YVd\"},\"source\":[\"Check the number of parameters in your generator as a sanity check:\"]},{\"cell_type\":\"code\",\"metadata\":{\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"id\":\"s8eGxTD18YVd\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1615307467007,\"user_tz\":-60,\"elapsed\":715,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"f61a4349-4087-4bf6-ee85-644634aecf05\"},\"source\":[\"def test_dc_generator(true_count=6580801):\\n\",\"    model = build_dc_generator(4)\\n\",\"    cur_count = count_params(model)\\n\",\"    if cur_count != true_count:\\n\",\"        print('Incorrect number of parameters in generator. Check your achitecture.')\\n\",\"    else:\\n\",\"        print('Correct number of parameters in generator.')\\n\",\"\\n\",\"test_dc_generator()\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Correct number of parameters in generator.\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"code\",\"metadata\":{\"scrolled\":false,\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"id\":\"QGKbn3yo8YVd\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1615309675054,\"user_tz\":-60,\"elapsed\":1884753,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"37c3fd80-ce1a-427f-9d32-ed4785f6d18e\"},\"source\":[\"D_DC = build_dc_classifier(batch_size).type(dtype) \\n\",\"D_DC.apply(initialize_weights)\\n\",\"G_DC = build_dc_generator().type(dtype)\\n\",\"G_DC.apply(initialize_weights)\\n\",\"\\n\",\"D_DC_solver = get_optimizer(D_DC)\\n\",\"G_DC_solver = get_optimizer(G_DC)\\n\",\"\\n\",\"images = run_a_gan(D_DC, G_DC, D_DC_solver, G_DC_solver, discriminator_loss, generator_loss, loader_train, num_epochs=5)\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Iter: 0, D: 1.483, G:0.3735\\n\",\"Iter: 250, D: 1.197, G:1.004\\n\",\"Iter: 500, D: 1.113, G:0.9634\\n\",\"Iter: 750, D: 1.213, G:1.202\\n\",\"Iter: 1000, D: 1.238, G:0.9249\\n\",\"Iter: 1250, D: 1.252, G:0.9412\\n\",\"Iter: 1500, D: 1.116, G:1.029\\n\",\"Iter: 1750, D: 1.15, G:1.073\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"A4Tz4Sph8YVd\"},\"source\":[\"Run the cell below to show generated images.\"]},{\"cell_type\":\"code\",\"metadata\":{\"colab\":{\"base_uri\":\"https://localhost:8080/\",\"height\":1000},\"id\":\"ugcDCt3n8YVd\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1615310042040,\"user_tz\":-60,\"elapsed\":5294,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"e4bc0493-2bea-4819-e743-8bfcbb601745\"},\"source\":[\"numIter = 0\\n\",\"for img in images:\\n\",\"    print(\\\"Iter: {}\\\".format(numIter))\\n\",\"    show_images(img)\\n\",\"    plt.show()\\n\",\"    numIter += 250\\n\",\"    print()\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Iter: 0\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 288x288 with 16 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"\\n\",\"Iter: 250\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 288x288 with 16 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"\\n\",\"Iter: 500\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 288x288 with 16 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"\\n\",\"Iter: 750\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 288x288 with 16 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"\\n\",\"Iter: 1000\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 288x288 with 16 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"\\n\",\"Iter: 1250\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 288x288 with 16 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"\\n\",\"Iter: 1500\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 288x288 with 16 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"\\n\",\"Iter: 1750\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 288x288 with 16 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"_5XKAbjz8YVd\"},\"source\":[\"**Please tag the cell below on Gradescope while submitting.**\"]},{\"cell_type\":\"code\",\"metadata\":{\"colab\":{\"base_uri\":\"https://localhost:8080/\",\"height\":265},\"id\":\"FafPL-Om8YVe\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1615310107475,\"user_tz\":-60,\"elapsed\":1238,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"94dc1d7d-27e7-4446-f388-6c611f5ac8ee\"},\"source\":[\"print(\\\"DCGAN Fianl image:\\\")\\n\",\"show_images(images[-1])\\n\",\"plt.show()\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"DCGAN Fianl image:\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"iVBORw0KGgoAAAANSUhEUgAAAOwAAADnCAYAAAAdFLrXAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+WH4yJAAAgAElEQVR4nO2dZ5wURd7Hv7uARBcQETMYwIQoflRMGM6sCJgDp56KYo54Z7xHFMOZ4dTDgCjiGQ4zgqgYThERxBxQEEURCYYTFQm787zY+3X11ExP7O7Z3qvvG9iZnu6q7pn61z9XpVIpHA5HMqiu9AAcDkfhuB+sw5Eg3A/W4UgQ7gfrcCQI94N1OBJE01xvtmjRIgWwcuVKAGRRzmVZrqqqynpM3NZojaO6un5Nat++PQCLFi2q8h/Xvn37FMAvv/wCmLlmO5doqJb1pk3rH+eKFSu8Abdq1SoF8PvvvwNmLk2aNAHS56vX9O/y5csBM9+gZwvmPmsMOq/9HGpra7OeQ8fV1dUFzs835rQH0qxZs1SucxeDxin859J7zZo1S3uvU6dOAHz//fcA/PbbbyWPY5VVVgFg2bJlVdnedxLW4UgQVblWgaZNm6atXElEK3ebNm0A+Pnnn9NWrsYwR+GTYt4ctUuStBRR7xKi3JWkUqm0k1dVVUU2mVy7irZt2wKwdOlSIPMel4M9R+EkrMORIHLqsA1VVyuFbLopNK45ZpvLihUr8h4T11iShPTlXDr1f/7zn7Rj48BJWIcjQeSUsI0BrfS5VsrGQjapVohl35FJMTYNSdjVVlsNgEWLFkUyJnAS1uFIFDklrCxkuSxlxaLVSFbbX375xZN+UUgBjb1FixZZ349C8rZr1w6AffbZB4ANNtiAPn36APD4448DMGzYsMiu7yfMZ1fIdXbccUcANtlkEwBGjRoV6XUrydFHHw3AP//5T8Dc45YtWwKwbNmy0K+Z061TjrlcD3DXXXcFYMyYMQCsvfbaQLqD2t62vf/++wDstttuAPz888+lDsMbR8eOHQFYsGBBaC4BzUFf0jvuuAOA7t27p70PmVvzV155BYD+/fsDJnAjDPwugSZNmqT8142KSy+9FIArr7wSMIEarVu3Dv1acbp1sqHghjlz5gDmO61nLGGkAIpScG4dh6MREJmEFePHjwdg3333BTJDv7KhrcQtt9wCwOWXXw4Eu2ZyIQnbvHlzAJYuXVr26iwJOnXqVMBst4PmlkqlMsL79K8k6x577AHA9OnTix1Otut5c6yurk5pDFFRVVXFggULALOTkdHGDuMLg0pLWH2Xn332WSDTBSQJq4CKUnAS1uFoBEQuYTt06ADAG2+8AZhwrtdffx2AcePGsf322wPQs2dPoN5IA0b/+eGHH9JeL0UfyxYYD8XNUVLxnXfeAaBHjx5pr2tc9r/V1dWehJHEsdHu4fTTTwfg7rvvLnRYGeOrq6uLVYetrq72dFbNT3/LABMG2eb33+tHvosAs0v74osvAFhrrbXSxjVr1izAGNzKuedOwjocjYDIJaxQetsOO+wAwGeffQbAN99844XP7bTTTgA8+eSTgHFEawV79913Adhmm22A4lbUoNW5lDl26dIFgNdeew2AVq1apb0vK+Kvv/4K1Otz0lW1SwiStDpuu+22A+DTTz8tdnhpq7NSz0rR/wuldevWniVferx2IXpW5WCn6NnpdXFJ2IEDBwIwYsQIwOiuuq6+t4ccckjZ13IS1uFoBMQWmqgVWLrkEUccAcDw4cO91f/DDz8E4JNPPgGgV69egFnJNtpoIwC22mqrtONkkcwlRcJcfb/88kvAWItlGVXAROfOnQGj08yZM8ebt/yv+mxQGpr0pXKJI22wSZMmafo6wEcffRTa+XVO+17FzXnnnQcEJ7k//PDDkY/BSViHI0HEJmG1CkkKnXjiid57d911F2AsihtvvDGQubJKVxw+fDgAAwYMAGD+/PmRjj0IpVfpX5HLlyofXZC0UBJ0WAHkcQT977rrrt4OQsj/HgaS3kH3LI451tTUsNlmm2Udh2wVEyZMiHwcTsI6HAkiNgmrVVKr0J133gnAkCFD6N27NwDbbrstAKuvvnraZ6WbSg8+//zzAfj6668jHnV4aFVeb731sr4vyTp27FigcruGYtCcDjrooIxIrnLiaG3sc1eCsWPHBtobhg4dCsCSJUsiH4eTsA5Hgog9gf3HH38EzOpUXV3txdHaKXDyz37++ecAHH/88QC8/fbbsYw1TBQVZet6QiUyL774YqA0vSxuCSTr/bfffpvx3owZM0K7TlwpgtmQT32XXXbJeE/fT6VMlkKxxeqchHU4EkTsElarsuKDO3Xq5K1iQtk6H3zwAQDXX389YHx7SSt30rRpU5577rms72ku2jXYFudiiPu++C3/9rXLyWEOuk4l2HTTTYHsfnHFFM+ePbvk8xc7t9h/sAoYqKmpAdJD9GSo6Nu3LwCTJ08GosncjxJtc7p16wbUu61UHV7oQSkUUcYmubKSUINKc2jfvr03ZwX969+kovmo8II/WELPZtCgQUC8C4rbEjscCSJ2CauwPQUQ+HnmmWcAeOmll4DkbH21Szj77LMBuPrqqwGz/a+qqsro+zJv3jwABg8eDJi55wvSr66ubjDSV+N4/fXXOe644wDjnooi2SBOo5rKvnTt2jXjPQVKKGU0TpyEdTgSRGwSVjqAinT5dQKtygqir6QZvxiUbnXttdcCmQEfIpVKeSVUpNstXrwYMPp5viB9SeuOHTt6RQFk7Ki0vuivfD937lygvKQDOyQ1zr5Hmst1110HpBubtKNQamiUKYtBOAnrcCSIguoShyHpDjjgAMBYicXMmTO9kC4FVay77rqAWa0bGkpCUFnToGR0UVdX54VRKsFB7oInnngCMLuMV199FYBTTz0VMLqUPte5c2dPx7f75lSKQw891Pt/mHWIbckax45LoaMHHXQQkK43aydz0kknRT6OIJyEdTgSROTd66SPPPLII1nPfccdd3DUUUcBsM466wCmjIykUkPTZU877TQgv2QVTZo08ZLuVfpSElM6k0IW999/f8AkyQvpS8uWLWPrrbcGKt/TVtKnR48e3jN66qmnyj5vUMf3OLrEqZq/XfYnlUoxbdo0wBRaqAROwjocCSJyHVbSwC53qbCuiRMnsvfeewOw++67AyaCZNKkSYAJjG8oKKyyUOrq6pg5cyZgrMLSTaW7anchqW37HCWB58+fnyF9c2EXuQ5ztyILak1NjRelFmbKoz3WKHdasvBfeOGFQObuafny5dx2221AZXc2TsI6HAkicj/skCFDgMxi29J1NthgA09nlTR49NFHgfIC4W3CjJJRtzJZiaVfytqt+GBFc73xxhu8+OKLgClzqh2HxrXnnnsCJhJMqYZazWV9Pe2004qKdIpSKmlX0LRpU2/OYURhBY05iggv7Vxuv/12wBS6t685efLkUPTzcnES1uFIEJFZiSU5pMPqXNLh1l9/faC+NKQyd+TnUpZOJSJJCkFzuPHGGwHTUlMxxF999RVgCqOnUikvyVvFxyU5JUklgaXTyhIp3VB6c7HPJMoO7LJ4p1KpRGUZ+dF92XLLLYHMEqa6/8cee2yD8Hs7CetwJIjIdViVNbU7oR922GEZx0oKyYIcJlFImLfeegsw0VtK2pb1dMqUKUB9mRHtHpSlIymtXYTakIRNlDqspH5tba3nt/Q1HYvsumGiHcGqq66a9X01F1+4cGFsY8qFk7AOR4KIvBmWIpzUmiMbsgYr3jjKPMMwmwFLmmj3IGlZ6cgs/xyjbHasec+ZM8eL/5bNIspooDCfoebw3nvvAUaXVTaVLOGyLcRFUDOsyH+w2h4+/fTTgHmgqvZ/1113eYER2jZGYbgIs3tdQyfuDuw1NTVeN3KpOkonjAL7yxzmHBUwUektvete53A0AnJK2Lj6bkaJJKuCMsrpwJ4U4paw/70OEK1b5391l+THSViHI0EU5dZJSukWhyHfs6qqqsoIGy0Wf7BBlN+RONLr4iLoPuULoXUS1uFIEDklrJ2apb8VVte0aVNvhdBrWiHsAlrFrLhasYNW1ELcJ/Y47JAzYc9R+JOoo5AWUUiibHO052cf07JlS88yquQFjUluq3z3u7q62uveoOctN0i+znO2jaGurs67rp0SaKdo2nMMSntr0qSJN2/NVYESSlqwPRSFfLeKlY7+94PGHNR7STgJ63AkiJxWYofD0bBwEtbhSBD5dNg0H162PXuxFsZKWZqluyxfvjxN0ejatWsKTElV6WvSJfwhabY+HEepEDv8Mdt9tnW8X375xZtj69atU2B0NPv+19XVZbwW5TPSufU8NB/969fzdJ+VMKLPfP/992nPsEWLFikw0UnZvq9Bcyz0/VQqFdr98J87SA+2fc3CSViHI0HklLD5pGYpq06ldOag2FBJUDu4O1uwt71yxxF3akse/z2XBNLf2Vp2aB7ZJJiIs9iZ7VWwvQv+YzRmNZ8K8hro/uf6vuabYyXuQbHvgZOwDkeiiK0ZlnSxUvyyUVJKOxBJ1qA5hKkD5pIahejQcUqOYrD9woXonUHE2Yay0jgJ63AkiMjzYRsaYSY/V5ogCVSJbJ048Fnn056hvBlJKwCXC5et43A0AmLTYSvNaqutFvs11Y5jjTXW4IMPPgDC9d2WIjUbY8ZVY5Ks+fif+cGG2UWgUC644AIAzj//fO+1Z555BoC+ffvGPp5SsRMGunXrBpj57bbbbrRu3RqAW265BYBbb70VCLe2dBxGvoaO2xI7HAmi0ZeIEXK6r1y5Mnajk//+ffPNN4Dp9B0m2eZoz68YaaQx/vvf/wZgrbXWAkxhPVFbW+tJYQU5SArPnz+/2GkEEmR0ivIZqj/SsGHDOPzwwwHzDLVLmjNnDpAZ8GGHsvpfzxXu+99jndHJ4Ug6FdNhteqsv/76XnD3Z599BuTvB6NVTyve3/72NwA6duzoHaMOc3/84x+ByhomfvvtN68y/hprrAGEq3fpXLovYXHkkUcCpqOerqNQwO+++w6Am266yetcvu222wJGb1e/1TCIM0Di4IMPBmD06NFAfUd2XV+7B5V21TEff/wxAJtuuilgOuFJv//Xv/4F1N83nWvWrFlA4d9PJ2EdjgRRscCJ/fbbD6i3Jsr9MWzYMAAOPPBAwKw+KkJ+yimnALDLLrtofIHn14old466kNnpdXK6258Lk1mzZrHRRhsBRqIGlawpBemumuvChQtDqfy/ySabAKYTg8Y8ZswYwPRUnT9/vieNR4wYAeB1nN9ss81KvXwGceiwnTp1Akx/J4XUjh492uvAri4Heu/HH38EoE+fPgBsv/32Gidgugo8/vjjQP39kvVcRfT1/fTpwU6HdTiSTkE6bJj61l577QXAk08+CaRbHC+77LK0Y3v27AkYXTUfS5Ys4csvvwTMapevgFgcPrwFCxZ4EjaKpPf27dsDpnteWKhj26OPPgrAxhtvDOB1Ilc7jmbNmrHvvvumfTaoYFo5RPmMJL2ff/55wIz/3nvvBeDkk0/2jpXE1M5GklbScurUqYDpgfzYY48BxmJeTjqmk7AOR4IoSML6/HslX0jneOGFF/IeaydkS2caN24cYHRb9ZP96aefSh5XIWUty8Xvcy1nrDbaHUiHClt6S6/S/ZfF3e4Bu2LFClZfffW0MSWt6PdOO+0EmO51upfnnntu4GfsJHzpvbIKT58+HTB+20LsI66QuMPRiMgpYbWSSs8sJ/lcvlKbZcuWMWTIEAD+8Y9/AOFKoXzEEcX15ZdfelK2pqYmtPMGFXEPC3WJV+KCOs3vvvvugJEgI0eO9KStxnLfffeFOhaI5lmpoLhivHUP582bB5hC47nQZ8444wwANtxwQwDOOussIFzPg5OwDkeCKKgIm3TJctK5pNPYZSR///137rzzTiBeyRonL7/8Mr179wbC9b/aZJOwYVjBZX3ef//9AROxI+t9v379vGg1SVr51Bsqeg6KaLJ3Pg888EDB59piiy0AuOiiiwBzX0qxKbgibA5HIyL0bB17lZdk3XzzzQF47rnnADKsimBW56233howscVhYpfeUKSTXRy83BaMfgYMGOBZWlV21M54CRP/HPMVgy8FSVP5FRUzC+b+HXrooYCJUguTMMv8yD/+/vvvA6bAnnYVn3zyCVBvLdb3sUOHDgAMGjQIMBF4ixYtAozELcdqH1QiJueWuJTtlH2sXEEKjO7RowcAW221FQA33HCD9wOVkUs3SQH8xx57bMHXLxZ7vHYVvzC61/m3W7oPcRHmD1VIRbr77rsBOPPMM71np/unbfOnn34KmHA9GbJKIYrgfwXa6EenwH0ZkHbeeWeg3sCmeyjBou+2FnWFLpbzQ3VuHYejEVFW8H+2fpd2r5Rsx/qprq5mn332AWD8+PFp72kllyM6jO1p0JZYRBH8f9FFF3HttdcCMHHiRMAkP4SJerQuW7YsY0scxby0rT/qqKO8Z6VwvCuvvDJtTK+88gpgQlNLkfhRBv/r+6trtGvXDoCBAwcC9WmDkr4KBdUxCkk86KCDAHj33XfLHoddaEE4CetwJIiiEtglJddcc00g3XAiPU3hbAofFEEram1tLRMmTADg888/B6Br165p55dzu5xCalrpbWRAsfvShJkU4L+25hImmkO2ypB2J/owdVnpalOmTMlIxFZQhZ6tUiJ33HFHwKTsFYI9hyiwwwxlQNLOCIz0HTp0KGBsKwoSke2lHJwO63A0IkrSYbUKHHHEEZ5lTJJVoVwybReD0rckabVaK9UpW0e5fMh6KfP9p59+mraEtWnTJgWwdOnStGuGKZF69erFm2++CZhVWG6uctAYJWH196+//hqLDqt0yKVLl3LTTTdlPUY6+9577w0YV5BCNYsZV5AOG1exQCX0S0dV8TUlDoQR+ON0WIejEVGSH1Z/P/74416ZkJEjRwLQv39/wOhthUhFrZzSd4T0iVIkq5C+LYe4jVb4oHSwMFZtpb9BepBBuWj3oDGqDKmfKKSOdkKDBw8G4K9//WvgsTfeeCOA5wnQGPv16wfAE088UfB1g+ZiB71EQXV1tZfcru+Syr9qdxYGLjTR4WhE5JSw+RLXW7Vq5flItcpptXn44YcBk/Ss11WKU3rpdtttx/333w8Y6SOpV04AuaSPQsxU4NpGOwFZpHV8mJJpnXXW8f6v+1WOjqznon8V5inrup8w56F7pSgm3VOV+8yGrMWywkvfllRWqaBCxhl0TBwlbNu0aeOV0dWOT+mg+aK3bMtvrrnmm4uTsA5HgigogT0ocb179+7eayrIpVVHxavkz5oxYwZgijBLwqZSKW/llpVNes0ll1xS2qx8Y5XEDEprk5SwC2pppQujmZNS6yCcoH+VhZVurLEvWbKk7HPnQoUGVLq0kBI9kqwaq61nF1N+KMhHGUcRgquvvtrTXa+66irAFGPLRzHjy5d+6SSsw5EgckpYxU7+8MMPAMydOzft/fbt23utGZSFolVQxau0osovq7hL6QGzZ8/2pPJrr70GmBYQ5egmtsUw6Fx6XcdLwobJSy+95Ekn27JbCipfotVYRb50b8NG11GGlR15lMtKqtYk0t01b425GMtuJZqyKV64X79+LF68GDBZOZXASViHI0HkFCeKygnaV48bNy7QAqb8R+mnOk6S1f85e5WNcyW180XLKTQXhKQJhCPBg0qzhtk82Y+elaLY9LeaZE2bNs3Lc9bYtKN65JFHAOMd0BinTZuWdq6G2tK0V69eQP1uUrmzUdoKnB/W4WhE5FzuC4k0yucbs7NgGhp2lEwUPj3pnNmuW07sso6VpTUoI6lcdG+OOuoowLSSVCbL5ptv7lVhsCPH9LdizSVZ77jjjrQ5+AnatcXZblLXUrx08+bNvQoo5bTasM8fFEUY+LlcB3Tp0iUFxphRSI3Whk5QAnvUzvcbbrgBMG4theYFYT9QuRRWrlwZ2LVbhp0lS5aE0r0uH1ogFixYkBFyqTHJraZACdVFkpvPTrqoqanx5id3kQITdL2lS5dG3oFdSepyXS1btswLc41SCLkO7A5HIyLnltjuitbQDQSlENdcCu1Erq2yvaXMha+naMZ7UT4zqUodOnTwQg71mr2N1b+Skhqr5qvUtY033tiTwpKwOnccaDyXXnopYAJdfvrpp7KSUIq9fuD7kY/A4XCERk4JK2NJHCtLpWhouwXpqhqXVnh/yKR0OhmDtCq3atUq43xxzK+urs4zKuXD7tcryaswv/feey/DEBdnJzztAFTCVe6phx56KJYkg3w4CetwJIicVuKNNtooBWZVlDlblr1K9cIpJQg8WwlQgGbNmqUguANc8+bNvfnbgQl2n1R7fH49VKuzPmOfS8eqSJvmYqfjtWnTxtPpFCqqRAoFJ8ycOTOw8n+QO8l/jD2mQkrX5utwr3/t6+f6fFCQyfLly4uy9OdyB2kHY5cjsi3B/l1mvrkGWfH979v3Q//K2r5w4UJnJXY4kk5OCetwOBoWTsI6HAkip5XY1u+yUWi4WBRNmWzdoFmzZhnJBdJRlOY3e/bstAG3atUqBUZnsc9ZW1sbS+K07X/NFSpp6z/2mP06nq3D2vj1qXy6mf8zpVKKX1j3RBZ0O9IpqFRttuva1w9jLqKULo92uR/p0D/++KPTYR2OpBN6f9hKo5VKktW2/tqrc/PmzVNgLL3+mF2Ip8BX2Pjjpe042zClZaWw48GbNm2adyfY0PHvEiHTmyGchHU4EkROHbZQnaaQz4SB/I8qszl8+HAAXnzxRaBep1NZm3POOQeA8847DwhOibIlaJRpdpXA1tlsXa6uri7UZ6ZoK7t9YzmNzPKRxF2CjV1AIQgnYR2OBFFWM6zq6uqcmSLlsvvuuwMwadIk73oAU6dOBUzrwkJW2KA8wyTq6fnw63j2/HQP/RLXL2397xWDIslUSK979+6AiRHeddddgXDK2FQqpzlO7DkKJ2EdjgRRVEUwxXZGpf/IsrvbbrsB8NRTTwGZUkHNgUsppxJElHr5qquu6mV9qFVhUHxyOeSag627+nXbciQr1H8v1OR4u+22Szu/CrVHKf2C4pOjRrHbso/YucBRUFBvHe9gqyp+KpUKZXD6MqsbmIxLOrdK06imUBTVAW2jTCnz0v1RzaPTTjsNgHXXXTejE4G2kJrbBhtsAOTv01LqmOyEcf+Xu9xn2L17d8444wzA3D/NY/To0RnXC5u4fqi6d+oHq55CKqF02GGHAXjVFWVoC9Pd5LbEDkeCKGhLHGSUCEO6tmjRwut0py2GwgTlvlGP0U8//bTs69mUMgfdD4U7Xn311YBJjVK3cfUbOuSQQxg3blzW66m2ryoQfvDBBwCMGjWq6HFlm0shdZbtNLpC74lKCD3wwANeSJ12DNoiqztdlEQR7ippqs4WtbW13i5IuwkFOcycORMwz1KFH6II5HAS1uFIEAUFTtj6XblGCjB66tChQ72O3jrv+++/D5iasOq101DQvHv27AnAEUccARjjg8ZdSH/br776CjAGNgWBqK/uAQccAJSu2wbthrK9XmgnOenFDz74IFDfg0nj027opptuKuhcYVDO91CSdMMNNwRMOdb+/fsDpoBAbW2tt/OTjir3ovpKyWiqTn1R4CSsw5EgcgZOKKhax8iyKUlSyh5d+/79998fgDFjxnjSVrrAXnvtBRgdMExsh3QYRahfffVVwFi7tVrLIlwI0gHVKVD3fPz48YCR4gWWPfXmqGcosnU6kGTVDipIKur9s88+G4BrrrlG1/AKg++zzz5A5P1nQnuG6667LgCPPvooYHZNkpaa84oVKzxr8IQJE9I+q+/pyJEjAZgyZQpQnsXfBU44HI2AogIntPKWIlm1Um255ZZAeqFmSZUjjzwSiEayRon8b/PnzweMHnfKKafk/awkq4pnSz+026LU1NQAxRe+s33p2QqE+ZP1c6FWFccffzxgvg/Tp0/3fORRd4EPC81ZFv2NNtoIMHOSvirPxMcff8zYsWMB0ydXobMdOnQAoHfv3gC89dZbkY3bSViHI0HklLBBJTFLiQaS7irL6TbbbAPUr+rqISodNmksWrQIMNJs4MCBAFx00UWA0UsB1l9/fQCef/55wLSo0L2UfUCWR52j1JKy9jMThZQ5FXp22gFJR9f3Y9SoUV53ct0Du0SpXRhd0rzQAuRhI5+5OsRr/EoPfOaZZwB4+umnAejSpYsXEit7gnYckrB6/a677gKimZuTsA5HgshXhA3IDFQvpdjUBRdcAJg4TL0+ZcoU770kl/gAI0lXW201wKSW9erVy7OE33///YCxICrKS7uMdu3aASZN7YsvvihrTHakUzZ9NV8hPUnFPfbYAzBSSL1epduB0bUHDx4MwEEHHQQYKaT5Kcb4zDPPzBhPsRSz45Pk107g5ZdfBkyUnfziel3RXB07dqRTp06A8cOq6Pvqq68OQNeuXQETS37llVcCJgGiEFwzLIejEZHTD6sSoHarjmLo0aMHYKJCJGnk0+rSpUusjaKj8MMKrbSKB9bKP2HCBE9KyUd3++23A9FkmvjnqORu33tp//rHGfRdkCT56KOPAKP3nXrqqUB9lJZ0wuuuuw4wklW7NPta/t0HFCdhy3mGto6t56LUOLvxm3YMnTt39izHkroqQyTdXui7LZ1XHoBc3eazRBM6P6zDkXRy6rDlRDTJv3jnnXcCRrJKopxwwglAcfv7KAiz4bEsjUrAnzhxIgADBgzwJI0sibIsS3eNKum5kMyqfNdeZ511ADwdTrHdKt2zcuVKbrnlFgD2228/wBT1vvfeewGj1/ft2xcwUipuu4VdZC9fNJKs8z/99JOnX0rfXbhwYdbP6HcjK3Ex9z7fs8j5gy1nu6aHK0VcyDCjcL6WLVuy9tprA2YbJQe0tiAjRowATIJ7mBRTD6rQH9UOO+wAGBeO35CgLdlDDz0EmHA23YOwqwuGUZ3+//7v/wATmqpwSaWR7bTTTt4PUV9She3pb92LQw45BAi352spi24pC6R+D1J9+vXrl/U4PcMouju6LbHDkSAKCk0sZVWWtLS3PieddBJgpM6gQYO8lHWg4BcAABCcSURBVCZto+2eMYcffjhgumKffvrpBY+nXKqqqgqev8YrqemXrNdffz0A3377LQA333wzYFwk2nnsvPPOALz55psljdWmnGIDMrj06dMn7XU7bfC4447zpI8SIOyggXvuuQcwqtHnn39e9HiCCFOtKQSlFWrX4OtpBOAVK5BaECZOwjocCSKnW8fufFaMvien8cUXXwyYfb10Hek4w4YN85T0t99+GzCuANWyVRKxDFRyvpdisIjSraPdhD8UEeoNG5IsQm4QSRoFFij5WTqt7WYohFy9dYqhS5cuaWOU3qmyKV9//TVQb4/Q7kfGJ6HPyHUnPVjB9gpCKIZK9daRe0sGQ7t7u3R77QjtLu7F4NLrHI5GQFElYgpBx9oF07SyHnPMMYCRnvPmzeOSSy4B4IUXXgDMSqbwMKUzaSVT0LWslA0FBYnYqL+PH+04ZEWfO3cuYHYPcpkoHLDUUivl6HeS9pKOcmdcddVVgHlO33//PWPGjEn7rCSrnqkCFeTGKkWyBhFHmdOqqiovjNSWrLNmzQJM2mE5kjUfTsI6HAmiqAT2Ypg+fXra31qdFTChEL199903Q3ooQUCSVVJCSdINTbIK6eU20m2yIUuyVm1JJoXsqZSq9MViCaqK75e8QdJXJW4UICDprzIwsj2ce+65Xjiezqvgf+2kvvnmG8CkHoZJHNbhXr16efMWCrq49dZbgWj8rjZOwjocCSKyDuzyqWp1loSVNFUf19mzZ3ufkQ9SEU2SDtJ3lDhdTvFvO6g6TCuxwu8kbUS/fv08KWvvJrp16wYYnV/j1JyV4F6MtdhvYWzWrFmaBdUOMve/FsTJJ58MmDBToVS0XXfd1XvOJ554IgC33XYbYKSQLOhhtCKJ0tJvox3ChAkTPJ+57pfSCxXkX0pyTBDOSuxwNAJySlitzqW06NAKrtX5jjvuAIyOppSjm2++2fPV2pEjihSRTqvOb+UQ5epsF1oXPXv2zBi7jtUOQ20gFCGkv4MCzHPhn+Mqq6ySliJpXz/beG1k4Zce3bFjR8BIbUVvgdHjdf4BAwYAJnY6DOxnGEWPX+0A33nnHYA0P7p0exXfkyU8TJyEdTgaAZHpsDay+KoEpFZtf39S6QD33XcfYEqh2pFD5RCH/iM9TXM866yzvNIwspIq+Vm7CklAteh47LHHgPKjuZo3b54Cc2/LeZZq9qSINEVngZHSKlGrYvAqJhcmYTxDPRu7YLgizBTLrYg0MP5olbV54IEHgOiLEPhxEtbhSBCxSVihOGFJmjZt2nglP2UpDbupsZ84JKwim5SRkwvNVYnf8k/bFsdiVvFCrMTlIOk0fPhwoD7B/e9//ztgIrSiiOsNsvQX8z3VOWS1vvzyywGTXSYdXJJX/PLLL549Ro3LosjGEU7COhyNgNglbKWJQ8IqxlY6Tt++fTMaTanixoEHHggYP2u+e11dXZ1X2vrn+L/wDEvJ1pG34oorrgDgz3/+M5BZNE4ZYrvssotXOC4OgiRszh9slA7pShGn0926jq5f9nnynSOs9LqGiv0M5boqJXBB4Yba0svoJPeaStpMnjy51OEWhaua6HA0IpyELWCOcZcgyUV1dXXeAJbGKmGDpI+2xHaAj/9z+foGqbCaJKw6EfqDQuLASViHoxGRSKNTOaU7S5GwMlAEpajZrweltMVFYzM66T7rOaxYsaIgCevv3FepZ1EsTsI6HI2InAnsKn4mi1k5q1RQh7Rc/UbslVVIgumzGldtbW2gvhlUuFo6TFBgQVVVVVoYJRjXjC1J9a9933K5G3R9+xzlpBD60bzDDJwIA3us/uemMetfu+K+jcrPaI72cymlTG+Y98neoaVSqYxSvsLuq2vjJKzDkSBy6rAOh6Nh4SSsw5Egcm6Y27Ztm4JgXSxbj1FbB9D+PVvnb71eaqB4iU2Q0pSGli1bpsCEBkZtTYzDp+ufYxRFtu1n3bx5c0+v179hzM++V9L7amtr056h+hjbzzBPjEHaMVE+l1wd7vWe5iYddunSpc5K7HAknYJadUQhdcLwkdnW4kJWxzjKi1SaqP2w2az4YUrWfNcNinSKu9dsFGhHunLlSidhHY6kU1Ah8Wx+JFFqVE85bRCjOIejcKRn+X3YlbyPSYliKoR8c3ES1uFIEAWVOS21EVNUaIW3I51K0WHjzmaxo3KikExRW4krTaWfYRy4EjEORyMgpw7bUHUDtQFRmU0VuG6oUqS6upprr70WgNNOOw0wFQ5UyjUqGuozTBpNmzb1Sv/oe6bWHSr2Hsa9zuWzhQq6dcph7NixgOmduuWWWwKFJRtXYjtVU1Pjde1WIoESpJUwHSaNLb3OJk7XnDoAvPnmm9TU1ACZP6rFixcDpqu8OgOUg9sSOxyNgMj6wxaDtrbqrxm0te3evTtQ3w0OzEpXTh3jOEIF+/fv70lWIVeZXCNhdj7z09Akq+ar7aWkUUMzbKri/9SpU4H61D7tNFVJUf121MUvjnvtJKzDkSAqZnSSZGvZsiU9evQA4LXXXsv5mbPOOgsw0kmS9ccffyx7HFEGgWfrOq7+r1EbysKYj85h96rdd999AVhzzTW9Dm7q3qBntP322wNwzTXXANC1a9e0c/Tp0wcwPYEbCupvq6T5FStW8Kc//QmAl156CYAzzjgDwLNPxGHrcRLW4UgQseuwW2+9NQCjR48G6iWMOrWpGr6NVvg//OEPaX8//fTTQDila+wSMuWUahE6pyST/3ySMJUu2FYIxx9/PABXXXUVYPrOqON8VVWV557SPILKtmj+n3/+OQBvvPFG2eOLovfTAQccAJhxT5482fNO7LDDDgBss802gNn5SbeNEidhHY4EEVshcRVqnjlzJmAKlT311FOcdNJJgOm/abPOOusAMGfOHMCserLSFWJhDErNkq/ZJozEAjnWv/3227Q+o2Asi9LpwrQSh1VIXPdM0nC99dYDyFpATPYEvSaruI61j1P38meffbbocUXpS5cn4v3339e1AOjdu7f32qxZswAjjddcc00gumfox0lYhyNB5NRhyynYLdq1awcY6Sirm6TivffeGyhZpQe98soraX9/9tlnaecoh2xlTbO9XgrdunUDMnuNQmYJz4aIeqiqS7zuv/TvJ554AoDTTz/ds9Rr16Ndk3rkSho9/PDDADz33HORj78UFAtgf7fq6urYeeedAbN7mDFjBhCdDz0bDffb4nA4MijISlyKtNl4440B+PDDD4FMKSOr4sSJEwPPcdlll6WdS2y77bZ5r19sMekwdFabo48+GiAjygnMSi5pFQb5AseLRTq4pI2soMOGDQNgyJAhQPo9+/333wHT91ZSWZ8999xzgdL8z3HsRubNmweYXZ3i1SdOnOiNWd+pbP71csn3DJ2EdTgSRE4JW4p+17lzZyBTsuozAwYMAOChhx7K+KzOL71Xq7HQqhek8/rPUay0iSLCaaeddsp4Tec/77zzQr9e2LGskjaKVlKGkfTVbNdba621ANMoWVLp1ltvBcLJZLEJ89npHBr/u+++C9RnhNmx63G3ogQnYR2ORFGUlTjXSiY9TXqN3UBK1mEVJc92XuUbnnPOOWl/6xzy3QXRrFmzjOtmu56fKDMssmURSWdVFkhDRvdGu6Vcz1+WZPnZhSypkrDl3O+gaLAoM6569uwJwP33388xxxwDmO+2rMYvv/xyaNfLN4eCjE4aYC43iowL/fv3B8xNnDZtGhD8w2nbti377bcfUO8eANhll13SziFDhn7IJ5xwAmDS8uQyuuCCC/juu+8As53L94ONkmzuHM0lTldAWAR9mVq2bMn06dMBM2cZ1c4///y0v6MgyrBOzfnEE0/0QhI33HBDAB555BHAFCEIw83ojE4ORyOiIKOTtna5zOra6slBLhQwLWkoV41qG9XV1XnXkRvBvr4Uf0lvnUvXUujcpEmTvHpPWunDdnUUgh066b9vP/zwQ8XGFRUDBw70Qk/1zJSCpu10GGmEQfcs35a4qqqq7O1ybW2tt/VVKRgZR7W7jCMJ30lYhyNBhB78P378eAD23HNPwARRv/766wB88cUXgJE+9913H2effTZgpK90Ein8H330EZBZh7gU4ijgpcQGJal36NDBG/OECRMAU+YmCv0rrOD/fOgZLly40Cv5omRuhWWGobvarjq7e50SOOzgl7DDTCVhpbNq1yCddu7cuWVfJyhJRTgJ63AkiNAS2LUyDB48GIBTTjkFMM5l6bKy6PpXPZUJEZMmTQKMdE4a0uckdfw61A033AA0vOJoxaDE9VGjRgHpBcruueceIFyrcKFhpSJMyaok9b/85S+efUTY9YnDwFmJHY5GRGgSVqvZxx9/DJiwwnwlUKqqqthqq63SXrvwwgvDGlZFkG7nD/qXP1j+4SgkbNTB8QpkUdK5bAypVIrvv/8eqE+XjIo4UxE333xzAK677jqgPhzW1pH1nd5iiy0AEzQS5e7JSViHI0FEXoQtnxV00KBBfssYYKRQofh1llL1lzD1HiVt+8+psiJRBIxL8mSTQGHMS+e94oorALwdkc65ePFiL/RQXoAoyBeaWI7FXXNUyR6VcNV82rZt6/n9NW9ZhVXiNQ6chHU4EkTFWnVoVfzrX//qvSYLsqKBCkW6oj9qKsr+q0EoukqWRV17xYoVXqHsKKJh7Dlne68c1GxMhbR1HdkrRo4cyYMPPghUplxrOX5XfUZFEs4880zApHDKp77JJpt4tgmlCEoKh5kymG/sTsI6HAmiYhJWpUs7duzorSpDhw4FMldpSVCtcHZsswqa/f777965FN+ZLysmTAksP52d4tekSRNvTlFk6US1i1DRd2WlaOxLliwBzD3u3bu3Vxg+SoLmWc78O3bsCNT7WcH4j5UOqtKu66+/vidJL7jgAsBEsoWJk7AORyOioAT2MKxwQlJRzYaqqqo8iak4ZBtdVxlBkmAqw6nSJbW1td5YK9G+0C6m7W9PYWfpNORIJ2WhqDmZdjBqdKVYWjUxW3fddSNv6hUVI0aMADJjuzUfzX358uXcdNNNAIwZMybuYXo4CetwJIicElarS5jSStJRRa7q6uq46667AJPpYaPr619JMpXO9EegxJmbaKNVWeNSe47Fixd7MbYNWbKKgw8+GDB6nFBLCklg3eNevXolsoIG1GcaQaYv2y6aPnz4cM8PXcnGZbH11hFyPqtUCpgvxtKlS3N+1u40JzeKbmBVVZX3xdGXyTb522lLUcxRlQOVdjVjxoy8cwuTXOl1hWzJO3XqBBhVw5fWlva3Ej1uueWWcAZeIGH21tEPUyGIMrSNHDkSwOusGGb96EJwvXUcjkZASRI2jJ6mCtVbsWIFm222WVGf1Qqv1TFbdX87UFtjtpOfo0hgrzT+1dmen33Pcj1DudG0K9K/kja56kNHSRxFCCqNk7AORyMgp4SNcuWSHrrKKquUrN+V4iL5X1udVT5FktTuhG7/Pwk05mfoSsQ4HI2IggInoli5ZHHMJV0V6qeq8uoLm6vTnN0d3NZhbeRmsq2A/s8F3YegDnl57AJZjynmXtvH2l3P/Wgno2NkWdf9b9GihRdy11AllD12G/s5ZPu70C6GcWMHJ8nGEISTsA5HgsipwzocjoaFk7AOR4JwP1iHI0G4H6zDkSDcD9bhSBDuB+twJAj3g3U4EsT/A2qrjiONOSUFAAAAAElFTkSuQmCC\\n\",\"text/plain\":[\"<Figure size 288x288 with 16 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}}]},{\"cell_type\":\"markdown\",\"metadata\":{\"tags\":[\"pdf-inline\"],\"id\":\"qJXCFG6A8YVe\"},\"source\":[\"## INLINE QUESTION 1\\n\",\"\\n\",\"We will look at an example to see why alternating minimization of the same objective (like in a GAN) can be tricky business.\\n\",\"\\n\",\"Consider $f(x,y)=xy$. What does $\\\\min_x\\\\max_y f(x,y)$ evaluate to? (Hint: minmax tries to minimize the maximum value achievable.)\\n\",\"\\n\",\"Now try to evaluate this function numerically for 6 steps, starting at the point $(1,1)$, \\n\",\"by using alternating gradient (first updating y, then updating x using that updated y) with step size $1$. **Here step size is the learning_rate, and steps will be learning_rate * gradient.**\\n\",\"You'll find that writing out the update step in terms of $x_t,y_t,x_{t+1},y_{t+1}$ will be useful.\\n\",\"\\n\",\"Breifly explain what $\\\\min_x\\\\max_y f(x,y)$ evaluates to and record the six pairs of explicit values for $(x_t,y_t)$ in the table below.\\n\",\"\\n\",\"### Your answer:\\n\",\"We have $\\\\frac{\\\\partial f(x_t, y_t)}{\\\\partial y_t} = \\\\frac{\\\\partial x_t y_t}{\\\\partial y_t} = x_t$, and learning rate = 1. Since $y$ is maximized, we use **gradient ascent**:\\n\",\"\\n\",\"$$y_{t+1} = y_t + x_t$$\\n\",\"\\n\",\"Using alternating gradient, we have $\\\\frac{\\\\partial f(x_t, y_{t+1})}{\\\\partial x_t} = \\\\frac{\\\\partial x_t y_{t+1}}{\\\\partial x_t} = y_{t+1}$, and learning rate = 1.\\n\",\"Since $x$ is minimized, we use **gradient descent**:\\n\",\"\\n\",\"$$x_{t+1} = x_t - y_{t+1}$$\\n\",\"\\n\",\"To see what $\\\\min_x \\\\max_y f(x, y)$ evaluates, we replace $x_{t+1}$ and $y_{t+1}$ by their formulas in $f(x_{t+1}, y_{t+1})$:\\n\",\"\\n\",\"$$\\\\min_x \\\\max_y f(x_{t+1}, y_{t+1}) = x_{t+1} * y_{t+1} = (x_t - y_{t+1}) * (y_t + x_t) = - x_t y_t - y_t^2$$\\n\",\"\\n\",\"Explicit values are recorded for $(x_t, y_t)$ in the table below.\\n\",\"\\n\",\"$y_0$ | $y_1$ | $y_2$ | $y_3$ | $y_4$ | $y_5$ | $y_6$\\n\",\"----- | ----- | ----- | ----- | ----- | ----- | -----\\n\",\"  1   |   2   |   1   |  -1   |  -2   |  -1   |   1  \\n\",\"$x_0$ | $x_1$ | $x_2$ | $x_3$ | $x_4$ | $x_5$ | $x_6$\\n\",\"  1   |  -1   |  -2   |  -1   |   1   |   2   |   1  \"]},{\"cell_type\":\"markdown\",\"metadata\":{\"tags\":[\"pdf-inline\"],\"id\":\"cad_895g8YVe\"},\"source\":[\"## INLINE QUESTION 2\\n\",\"Using this method, will we ever reach the optimal value? Why or why not?\\n\",\"\\n\",\"### Your answer: \\n\",\"**No**, using this method we will never reach the optimal value. This is due to fact that $(x_t, y_t)$ value ends up over again to the initial value after some iterations.\\n\",\"From the table above, we notice that we start with (1, 1) and we end up with (1, 1) in the 6th iteration.\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"tags\":[\"pdf-inline\"],\"id\":\"1KwzHDXt8YVf\"},\"source\":[\"## INLINE QUESTION 3\\n\",\"If the generator loss decreases during training while the discriminator loss stays at a constant high value from the start, is this a good sign? Why or why not? A qualitative answer is sufficient.\\n\",\"\\n\",\"### Your answer: \\n\",\"**No**, this is not a good sign.\\n\",\"\\n\",\"Since the role of the discriminator is to distinguish between *real* and *fake* samples, which is not the case (i.e. he does not do his job well) if the discriminator's loss stays at a constant high value from the start.\\n\",\"\\n\",\"It can be interpreted by the fact that the generator manages to fool the discriminator (since the loss of the generator decreases), but this *fooling* is not well evaluated (i.e. we are not sure that the generator really fools the discriminator, since the loss of the discriminator stays high).\"]}]}"
  },
  {
    "path": "cs231n/assignment3/LSTM_Captioning.ipynb",
    "content": "{\"nbformat\":4,\"nbformat_minor\":0,\"metadata\":{\"colab\":{\"name\":\"LSTM_Captioning.ipynb\",\"provenance\":[],\"collapsed_sections\":[],\"toc_visible\":true},\"kernelspec\":{\"name\":\"python3\",\"display_name\":\"Python 3\"}},\"cells\":[{\"cell_type\":\"code\",\"metadata\":{\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"id\":\"LviLNq2-FfBI\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1614087106952,\"user_tz\":-60,\"elapsed\":24038,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"5d606972-0d9c-4419-b0f5-45be1fea6268\"},\"source\":[\"# this mounts your Google Drive to the Colab VM.\\n\",\"from google.colab import drive\\n\",\"drive.mount('/content/drive', force_remount=True)\\n\",\"\\n\",\"# enter the foldername in your Drive where you have saved the unzipped\\n\",\"# assignment folder, e.g. 'cs231n/assignments/assignment3/'\\n\",\"FOLDERNAME = 'cs231n/assignments/assignment3/'\\n\",\"assert FOLDERNAME is not None, \\\"[!] Enter the foldername.\\\"\\n\",\"\\n\",\"# now that we've mounted your Drive, this ensures that\\n\",\"# the Python interpreter of the Colab VM can load\\n\",\"# python files from within it.\\n\",\"import sys\\n\",\"sys.path.append('/content/drive/My Drive/{}'.format(FOLDERNAME))\\n\",\"\\n\",\"# this downloads the CIFAR-10 dataset to your Drive\\n\",\"# if it doesn't already exist.\\n\",\"%cd drive/My\\\\ Drive/$FOLDERNAME/cs231n/datasets/\\n\",\"!bash get_datasets.sh\\n\",\"%cd /content\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Mounted at /content/drive\\n\",\"/content/drive/My Drive/cs231n/assignments/assignment3/cs231n/datasets\\n\",\"/content\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"tags\":[\"pdf-title\"],\"id\":\"7YL4kjk5FfBM\"},\"source\":[\"# Image Captioning with LSTMs\\n\",\"In the previous exercise you implemented a vanilla RNN and applied it to image captioning. In this notebook you will implement the LSTM update rule and use it for image captioning.\"]},{\"cell_type\":\"code\",\"metadata\":{\"collapsed\":true,\"tags\":[\"pdf-ignore\"],\"id\":\"A3siGSe4FfBM\"},\"source\":[\"# As usual, a bit of setup\\n\",\"import time, os, json\\n\",\"import numpy as np\\n\",\"import matplotlib.pyplot as plt\\n\",\"\\n\",\"from cs231n.gradient_check import eval_numerical_gradient, eval_numerical_gradient_array\\n\",\"from cs231n.rnn_layers import *\\n\",\"from cs231n.captioning_solver import CaptioningSolver\\n\",\"from cs231n.classifiers.rnn import CaptioningRNN\\n\",\"from cs231n.coco_utils import load_coco_data, sample_coco_minibatch, decode_captions\\n\",\"from cs231n.image_utils import image_from_url\\n\",\"\\n\",\"%matplotlib inline\\n\",\"plt.rcParams['figure.figsize'] = (10.0, 8.0) # set default size of plots\\n\",\"plt.rcParams['image.interpolation'] = 'nearest'\\n\",\"plt.rcParams['image.cmap'] = 'gray'\\n\",\"\\n\",\"# for auto-reloading external modules\\n\",\"# see http://stackoverflow.com/questions/1907993/autoreload-of-modules-in-ipython\\n\",\"%load_ext autoreload\\n\",\"%autoreload 2\\n\",\"\\n\",\"def rel_error(x, y):\\n\",\"    \\\"\\\"\\\" returns relative error \\\"\\\"\\\"\\n\",\"    return np.max(np.abs(x - y) / (np.maximum(1e-8, np.abs(x) + np.abs(y))))\"],\"execution_count\":null,\"outputs\":[]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"y0H-AlMKFfBN\"},\"source\":[\"# Load MS-COCO data\\n\",\"As in the previous notebook, we will use the Microsoft COCO dataset for captioning.\"]},{\"cell_type\":\"code\",\"metadata\":{\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"id\":\"K6TVVBjsFfBN\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1614087152700,\"user_tz\":-60,\"elapsed\":13137,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"19c496a5-aeb1-4fb5-90ce-0ca382035d08\"},\"source\":[\"# Load COCO data from disk; this returns a dictionary\\n\",\"# We'll work with dimensionality-reduced features for this notebook, but feel\\n\",\"# free to experiment with the original features by changing the flag below.\\n\",\"data = load_coco_data(pca_features=True)\\n\",\"\\n\",\"# Print out all the keys and values from the data dictionary\\n\",\"for k, v in data.items():\\n\",\"    if type(v) == np.ndarray:\\n\",\"        print(k, type(v), v.shape, v.dtype)\\n\",\"    else:\\n\",\"        print(k, type(v), len(v))\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"base dir  /content/drive/My Drive/cs231n/assignments/assignment3/cs231n/datasets/coco_captioning\\n\",\"train_captions <class 'numpy.ndarray'> (400135, 17) int32\\n\",\"train_image_idxs <class 'numpy.ndarray'> (400135,) int32\\n\",\"val_captions <class 'numpy.ndarray'> (195954, 17) int32\\n\",\"val_image_idxs <class 'numpy.ndarray'> (195954,) int32\\n\",\"train_features <class 'numpy.ndarray'> (82783, 512) float32\\n\",\"val_features <class 'numpy.ndarray'> (40504, 512) float32\\n\",\"idx_to_word <class 'list'> 1004\\n\",\"word_to_idx <class 'dict'> 1004\\n\",\"train_urls <class 'numpy.ndarray'> (82783,) <U63\\n\",\"val_urls <class 'numpy.ndarray'> (40504,) <U63\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"JWU-LsjRFfBO\"},\"source\":[\"# LSTM\\n\",\"If you read recent papers, you'll see that many people use a variant on the vanilla RNN called Long-Short Term Memory (LSTM) RNNs. Vanilla RNNs can be tough to train on long sequences due to vanishing and exploding gradients caused by repeated matrix multiplication. LSTMs solve this problem by replacing the simple update rule of the vanilla RNN with a gating mechanism as follows.\\n\",\"\\n\",\"Similar to the vanilla RNN, at each timestep we receive an input $x_t\\\\in\\\\mathbb{R}^D$ and the previous hidden state $h_{t-1}\\\\in\\\\mathbb{R}^H$; the LSTM also maintains an $H$-dimensional *cell state*, so we also receive the previous cell state $c_{t-1}\\\\in\\\\mathbb{R}^H$. The learnable parameters of the LSTM are an *input-to-hidden* matrix $W_x\\\\in\\\\mathbb{R}^{4H\\\\times D}$, a *hidden-to-hidden* matrix $W_h\\\\in\\\\mathbb{R}^{4H\\\\times H}$ and a *bias vector* $b\\\\in\\\\mathbb{R}^{4H}$.\\n\",\"\\n\",\"At each timestep we first compute an *activation vector* $a\\\\in\\\\mathbb{R}^{4H}$ as $a=W_xx_t + W_hh_{t-1}+b$. We then divide this into four vectors $a_i,a_f,a_o,a_g\\\\in\\\\mathbb{R}^H$ where $a_i$ consists of the first $H$ elements of $a$, $a_f$ is the next $H$ elements of $a$, etc. We then compute the *input gate* $g\\\\in\\\\mathbb{R}^H$, *forget gate* $f\\\\in\\\\mathbb{R}^H$, *output gate* $o\\\\in\\\\mathbb{R}^H$ and *block input* $g\\\\in\\\\mathbb{R}^H$ as\\n\",\"\\n\",\"$$\\n\",\"i = \\\\sigma(a_i) \\\\hspace{2pc}\\n\",\"f = \\\\sigma(a_f) \\\\hspace{2pc}\\n\",\"o = \\\\sigma(a_o) \\\\hspace{2pc}\\n\",\"g = \\\\tanh(a_g)\\n\",\"$$\\n\",\"\\n\",\"where $\\\\sigma$ is the sigmoid function and $\\\\tanh$ is the hyperbolic tangent, both applied elementwise.\\n\",\"\\n\",\"Finally we compute the next cell state $c_t$ and next hidden state $h_t$ as\\n\",\"\\n\",\"$$\\n\",\"c_{t} = f\\\\odot c_{t-1} + i\\\\odot g \\\\hspace{4pc}\\n\",\"h_t = o\\\\odot\\\\tanh(c_t)\\n\",\"$$\\n\",\"\\n\",\"where $\\\\odot$ is the elementwise product of vectors.\\n\",\"\\n\",\"In the rest of the notebook we will implement the LSTM update rule and apply it to the image captioning task. \\n\",\"\\n\",\"In the code, we assume that data is stored in batches so that $X_t \\\\in \\\\mathbb{R}^{N\\\\times D}$, and will work with *transposed* versions of the parameters: $W_x \\\\in \\\\mathbb{R}^{D \\\\times 4H}$, $W_h \\\\in \\\\mathbb{R}^{H\\\\times 4H}$ so that activations $A \\\\in \\\\mathbb{R}^{N\\\\times 4H}$ can be computed efficiently as $A = X_t W_x + H_{t-1} W_h$\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"LQ6PSqsAFfBO\"},\"source\":[\"# LSTM: step forward\\n\",\"Implement the forward pass for a single timestep of an LSTM in the `lstm_step_forward` function in the file `cs231n/rnn_layers.py`. This should be similar to the `rnn_step_forward` function that you implemented above, but using the LSTM update rule instead.\\n\",\"\\n\",\"Once you are done, run the following to perform a simple test of your implementation. You should see errors on the order of `e-8` or less.\"]},{\"cell_type\":\"code\",\"metadata\":{\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"id\":\"2wAbEc5LFfBP\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1614091392597,\"user_tz\":-60,\"elapsed\":1184,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"14a433cd-7cb5-478f-81b4-a8a3b52c6ee3\"},\"source\":[\"N, D, H = 3, 4, 5\\n\",\"x = np.linspace(-0.4, 1.2, num=N*D).reshape(N, D)\\n\",\"prev_h = np.linspace(-0.3, 0.7, num=N*H).reshape(N, H)\\n\",\"prev_c = np.linspace(-0.4, 0.9, num=N*H).reshape(N, H)\\n\",\"Wx = np.linspace(-2.1, 1.3, num=4*D*H).reshape(D, 4 * H)\\n\",\"Wh = np.linspace(-0.7, 2.2, num=4*H*H).reshape(H, 4 * H)\\n\",\"b = np.linspace(0.3, 0.7, num=4*H)\\n\",\"\\n\",\"next_h, next_c, cache = lstm_step_forward(x, prev_h, prev_c, Wx, Wh, b)\\n\",\"\\n\",\"expected_next_h = np.asarray([\\n\",\"    [ 0.24635157,  0.28610883,  0.32240467,  0.35525807,  0.38474904],\\n\",\"    [ 0.49223563,  0.55611431,  0.61507696,  0.66844003,  0.7159181 ],\\n\",\"    [ 0.56735664,  0.66310127,  0.74419266,  0.80889665,  0.858299  ]])\\n\",\"expected_next_c = np.asarray([\\n\",\"    [ 0.32986176,  0.39145139,  0.451556,    0.51014116,  0.56717407],\\n\",\"    [ 0.66382255,  0.76674007,  0.87195994,  0.97902709,  1.08751345],\\n\",\"    [ 0.74192008,  0.90592151,  1.07717006,  1.25120233,  1.42395676]])\\n\",\"\\n\",\"print('next_h error: ', rel_error(expected_next_h, next_h))\\n\",\"print('next_c error: ', rel_error(expected_next_c, next_c))\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"next_h error:  5.7054131967097955e-09\\n\",\"next_c error:  5.8143123088804145e-09\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"njOoAs7xFfBP\"},\"source\":[\"# LSTM: step backward\\n\",\"Implement the backward pass for a single LSTM timestep in the function `lstm_step_backward` in the file `cs231n/rnn_layers.py`. Once you are done, run the following to perform numeric gradient checking on your implementation. You should see errors on the order of `e-7` or less.\"]},{\"cell_type\":\"code\",\"metadata\":{\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"id\":\"_cPbE0avFfBQ\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1614093483167,\"user_tz\":-60,\"elapsed\":1033,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"d96e3d41-d881-4696-e3a2-bc5efb8fc84e\"},\"source\":[\"np.random.seed(231)\\n\",\"\\n\",\"N, D, H = 4, 5, 6\\n\",\"x = np.random.randn(N, D)\\n\",\"prev_h = np.random.randn(N, H)\\n\",\"prev_c = np.random.randn(N, H)\\n\",\"Wx = np.random.randn(D, 4 * H)\\n\",\"Wh = np.random.randn(H, 4 * H)\\n\",\"b = np.random.randn(4 * H)\\n\",\"\\n\",\"next_h, next_c, cache = lstm_step_forward(x, prev_h, prev_c, Wx, Wh, b)\\n\",\"\\n\",\"dnext_h = np.random.randn(*next_h.shape)\\n\",\"dnext_c = np.random.randn(*next_c.shape)\\n\",\"\\n\",\"fx_h = lambda x: lstm_step_forward(x, prev_h, prev_c, Wx, Wh, b)[0]\\n\",\"fh_h = lambda h: lstm_step_forward(x, prev_h, prev_c, Wx, Wh, b)[0]\\n\",\"fc_h = lambda c: lstm_step_forward(x, prev_h, prev_c, Wx, Wh, b)[0]\\n\",\"fWx_h = lambda Wx: lstm_step_forward(x, prev_h, prev_c, Wx, Wh, b)[0]\\n\",\"fWh_h = lambda Wh: lstm_step_forward(x, prev_h, prev_c, Wx, Wh, b)[0]\\n\",\"fb_h = lambda b: lstm_step_forward(x, prev_h, prev_c, Wx, Wh, b)[0]\\n\",\"\\n\",\"fx_c = lambda x: lstm_step_forward(x, prev_h, prev_c, Wx, Wh, b)[1]\\n\",\"fh_c = lambda h: lstm_step_forward(x, prev_h, prev_c, Wx, Wh, b)[1]\\n\",\"fc_c = lambda c: lstm_step_forward(x, prev_h, prev_c, Wx, Wh, b)[1]\\n\",\"fWx_c = lambda Wx: lstm_step_forward(x, prev_h, prev_c, Wx, Wh, b)[1]\\n\",\"fWh_c = lambda Wh: lstm_step_forward(x, prev_h, prev_c, Wx, Wh, b)[1]\\n\",\"fb_c = lambda b: lstm_step_forward(x, prev_h, prev_c, Wx, Wh, b)[1]\\n\",\"\\n\",\"num_grad = eval_numerical_gradient_array\\n\",\"\\n\",\"dx_num = num_grad(fx_h, x, dnext_h) + num_grad(fx_c, x, dnext_c)\\n\",\"dh_num = num_grad(fh_h, prev_h, dnext_h) + num_grad(fh_c, prev_h, dnext_c)\\n\",\"dc_num = num_grad(fc_h, prev_c, dnext_h) + num_grad(fc_c, prev_c, dnext_c)\\n\",\"dWx_num = num_grad(fWx_h, Wx, dnext_h) + num_grad(fWx_c, Wx, dnext_c)\\n\",\"dWh_num = num_grad(fWh_h, Wh, dnext_h) + num_grad(fWh_c, Wh, dnext_c)\\n\",\"db_num = num_grad(fb_h, b, dnext_h) + num_grad(fb_c, b, dnext_c)\\n\",\"\\n\",\"dx, dh, dc, dWx, dWh, db = lstm_step_backward(dnext_h, dnext_c, cache)\\n\",\"\\n\",\"print('dx error: ', rel_error(dx_num, dx))\\n\",\"print('dh error: ', rel_error(dh_num, dh))\\n\",\"print('dc error: ', rel_error(dc_num, dc))\\n\",\"print('dWx error: ', rel_error(dWx_num, dWx))\\n\",\"print('dWh error: ', rel_error(dWh_num, dWh))\\n\",\"print('db error: ', rel_error(db_num, db))\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"dx error:  6.335163002532046e-10\\n\",\"dh error:  3.3963774090592634e-10\\n\",\"dc error:  1.5221723979041107e-10\\n\",\"dWx error:  2.1010960934639614e-09\\n\",\"dWh error:  9.712296109943072e-08\\n\",\"db error:  2.491522041931035e-10\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"a2Ot35y8FfBQ\"},\"source\":[\"# LSTM: forward\\n\",\"In the function `lstm_forward` in the file `cs231n/rnn_layers.py`, implement the `lstm_forward` function to run an LSTM forward on an entire timeseries of data.\\n\",\"\\n\",\"When you are done, run the following to check your implementation. You should see an error on the order of `e-7` or less.\"]},{\"cell_type\":\"code\",\"metadata\":{\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"id\":\"yTQ3NDaJFfBR\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1614093928149,\"user_tz\":-60,\"elapsed\":844,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"caec3bf4-6b59-47f2-9405-b5ea42ee3227\"},\"source\":[\"N, D, H, T = 2, 5, 4, 3\\n\",\"x = np.linspace(-0.4, 0.6, num=N*T*D).reshape(N, T, D)\\n\",\"h0 = np.linspace(-0.4, 0.8, num=N*H).reshape(N, H)\\n\",\"Wx = np.linspace(-0.2, 0.9, num=4*D*H).reshape(D, 4 * H)\\n\",\"Wh = np.linspace(-0.3, 0.6, num=4*H*H).reshape(H, 4 * H)\\n\",\"b = np.linspace(0.2, 0.7, num=4*H)\\n\",\"\\n\",\"h, cache = lstm_forward(x, h0, Wx, Wh, b)\\n\",\"\\n\",\"expected_h = np.asarray([\\n\",\" [[ 0.01764008,  0.01823233,  0.01882671,  0.0194232 ],\\n\",\"  [ 0.11287491,  0.12146228,  0.13018446,  0.13902939],\\n\",\"  [ 0.31358768,  0.33338627,  0.35304453,  0.37250975]],\\n\",\" [[ 0.45767879,  0.4761092,   0.4936887,   0.51041945],\\n\",\"  [ 0.6704845,   0.69350089,  0.71486014,  0.7346449 ],\\n\",\"  [ 0.81733511,  0.83677871,  0.85403753,  0.86935314]]])\\n\",\"\\n\",\"print('h error: ', rel_error(expected_h, h))\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"h error:  8.610537452106624e-08\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"dM6HXIFkFfBS\"},\"source\":[\"# LSTM: backward\\n\",\"Implement the backward pass for an LSTM over an entire timeseries of data in the function `lstm_backward` in the file `cs231n/rnn_layers.py`. When you are done, run the following to perform numeric gradient checking on your implementation. You should see errors on the order of `e-8` or less. (For `dWh`, it's fine if your error is on the order of `e-6` or less).\"]},{\"cell_type\":\"code\",\"metadata\":{\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"id\":\"Y6tsPiFTFfBS\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1614094827651,\"user_tz\":-60,\"elapsed\":2003,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"a6c37303-127b-42c4-b90e-c3b9d9fce473\"},\"source\":[\"from cs231n.rnn_layers import lstm_forward, lstm_backward\\n\",\"np.random.seed(231)\\n\",\"\\n\",\"N, D, T, H = 2, 3, 10, 6\\n\",\"\\n\",\"x = np.random.randn(N, T, D)\\n\",\"h0 = np.random.randn(N, H)\\n\",\"Wx = np.random.randn(D, 4 * H)\\n\",\"Wh = np.random.randn(H, 4 * H)\\n\",\"b = np.random.randn(4 * H)\\n\",\"\\n\",\"out, cache = lstm_forward(x, h0, Wx, Wh, b)\\n\",\"\\n\",\"dout = np.random.randn(*out.shape)\\n\",\"\\n\",\"dx, dh0, dWx, dWh, db = lstm_backward(dout, cache)\\n\",\"\\n\",\"fx = lambda x: lstm_forward(x, h0, Wx, Wh, b)[0]\\n\",\"fh0 = lambda h0: lstm_forward(x, h0, Wx, Wh, b)[0]\\n\",\"fWx = lambda Wx: lstm_forward(x, h0, Wx, Wh, b)[0]\\n\",\"fWh = lambda Wh: lstm_forward(x, h0, Wx, Wh, b)[0]\\n\",\"fb = lambda b: lstm_forward(x, h0, Wx, Wh, b)[0]\\n\",\"\\n\",\"dx_num = eval_numerical_gradient_array(fx, x, dout)\\n\",\"dh0_num = eval_numerical_gradient_array(fh0, h0, dout)\\n\",\"dWx_num = eval_numerical_gradient_array(fWx, Wx, dout)\\n\",\"dWh_num = eval_numerical_gradient_array(fWh, Wh, dout)\\n\",\"db_num = eval_numerical_gradient_array(fb, b, dout)\\n\",\"\\n\",\"print('dx error: ', rel_error(dx_num, dx))\\n\",\"print('dh0 error: ', rel_error(dh0_num, dh0))\\n\",\"print('dWx error: ', rel_error(dWx_num, dWx))\\n\",\"print('dWh error: ', rel_error(dWh_num, dWh))\\n\",\"print('db error: ', rel_error(db_num, db))\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"dx error:  6.9939005453315376e-09\\n\",\"dh0 error:  1.5042746972106784e-09\\n\",\"dWx error:  3.226295800444722e-09\\n\",\"dWh error:  2.6984653167426663e-06\\n\",\"db error:  8.23662763415198e-10\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"tags\":[\"pdf-inline\"],\"id\":\"3T8x6jYfFfBT\"},\"source\":[\"# INLINE QUESTION\\n\",\"\\n\",\"Recall that in an LSTM the input gate $i$, forget gate $f$, and output gate $o$ are all outputs of a sigmoid function. Why don't we use the ReLU activation function instead of sigmoid to compute these values? Explain.\\n\",\"\\n\",\"**Your Answer:** \\n\",\"\\n\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"qnNFBfhgFfBT\"},\"source\":[\"# LSTM captioning model\\n\",\"\\n\",\"Now that you have implemented an LSTM, update the implementation of the `loss` method of the `CaptioningRNN` class in the file `cs231n/classifiers/rnn.py` to handle the case where `self.cell_type` is `lstm`. This should require adding less than 10 lines of code.\\n\",\"\\n\",\"Once you have done so, run the following to check your implementation. You should see a difference on the order of `e-10` or less.\"]},{\"cell_type\":\"code\",\"metadata\":{\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"id\":\"Zh9pFfCKFfBT\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1614094991165,\"user_tz\":-60,\"elapsed\":849,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"4b64c90a-ec65-40b8-bde7-c52efca6d7e0\"},\"source\":[\"N, D, W, H = 10, 20, 30, 40\\n\",\"word_to_idx = {'<NULL>': 0, 'cat': 2, 'dog': 3}\\n\",\"V = len(word_to_idx)\\n\",\"T = 13\\n\",\"\\n\",\"model = CaptioningRNN(word_to_idx,\\n\",\"          input_dim=D,\\n\",\"          wordvec_dim=W,\\n\",\"          hidden_dim=H,\\n\",\"          cell_type='lstm',\\n\",\"          dtype=np.float64)\\n\",\"\\n\",\"# Set all model parameters to fixed values\\n\",\"for k, v in model.params.items():\\n\",\"  model.params[k] = np.linspace(-1.4, 1.3, num=v.size).reshape(*v.shape)\\n\",\"\\n\",\"features = np.linspace(-0.5, 1.7, num=N*D).reshape(N, D)\\n\",\"captions = (np.arange(N * T) % V).reshape(N, T)\\n\",\"\\n\",\"loss, grads = model.loss(features, captions)\\n\",\"expected_loss = 9.82445935443\\n\",\"\\n\",\"print('loss: ', loss)\\n\",\"print('expected loss: ', expected_loss)\\n\",\"print('difference: ', abs(loss - expected_loss))\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"loss:  9.824459354432264\\n\",\"expected loss:  9.82445935443\\n\",\"difference:  2.2648549702353193e-12\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"JFPg7WztFfBT\"},\"source\":[\"# Overfit LSTM captioning model\\n\",\"Run the following to overfit an LSTM captioning model on the same small dataset as we used for the RNN previously. You should see a final loss less than 0.5.\"]},{\"cell_type\":\"code\",\"metadata\":{\"colab\":{\"base_uri\":\"https://localhost:8080/\",\"height\":683},\"id\":\"gyN46indFfBU\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1614095101205,\"user_tz\":-60,\"elapsed\":85873,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"0acc36c1-370d-4019-f465-f68f637b7419\"},\"source\":[\"np.random.seed(231)\\n\",\"\\n\",\"small_data = load_coco_data(max_train=50)\\n\",\"\\n\",\"small_lstm_model = CaptioningRNN(\\n\",\"          cell_type='lstm',\\n\",\"          word_to_idx=data['word_to_idx'],\\n\",\"          input_dim=data['train_features'].shape[1],\\n\",\"          hidden_dim=512,\\n\",\"          wordvec_dim=256,\\n\",\"          dtype=np.float32,\\n\",\"        )\\n\",\"\\n\",\"small_lstm_solver = CaptioningSolver(small_lstm_model, small_data,\\n\",\"           update_rule='adam',\\n\",\"           num_epochs=50,\\n\",\"           batch_size=25,\\n\",\"           optim_config={\\n\",\"             'learning_rate': 5e-3,\\n\",\"           },\\n\",\"           lr_decay=0.995,\\n\",\"           verbose=True, print_every=10,\\n\",\"         )\\n\",\"\\n\",\"small_lstm_solver.train()\\n\",\"\\n\",\"# Plot the training losses\\n\",\"plt.plot(small_lstm_solver.loss_history)\\n\",\"plt.xlabel('Iteration')\\n\",\"plt.ylabel('Loss')\\n\",\"plt.title('Training loss history')\\n\",\"plt.show()\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"base dir  /content/drive/My Drive/cs231n/assignments/assignment3/cs231n/datasets/coco_captioning\\n\",\"(Iteration 1 / 100) loss: 79.551150\\n\",\"(Iteration 11 / 100) loss: 43.829091\\n\",\"(Iteration 21 / 100) loss: 30.062562\\n\",\"(Iteration 41 / 100) loss: 5.987383\\n\",\"(Iteration 51 / 100) loss: 1.838543\\n\",\"(Iteration 61 / 100) loss: 0.633024\\n\",\"(Iteration 71 / 100) loss: 0.275135\\n\",\"(Iteration 81 / 100) loss: 0.243404\\n\",\"(Iteration 91 / 100) loss: 0.138985\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 720x576 with 1 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"-8iPJsMrFfBU\"},\"source\":[\"Print final training loss. You should see a final loss of less than 0.5.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"lstm_final_training_loss\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1614097017344,\"user_tz\":-60,\"elapsed\":1319,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"6325feaa-95e6-4487-9e66-a30345b4d000\"},\"source\":[\"print('Final loss: ', small_lstm_solver.loss_history[-1])\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Final loss:  0.08306291067860684\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"KK2tSvJXFfBU\"},\"source\":[\"# LSTM test-time sampling\\n\",\"Modify the `sample` method of the `CaptioningRNN` class to handle the case where `self.cell_type` is `lstm`. This should take fewer than 10 lines of code.\\n\",\"\\n\",\"When you are done run the following to sample from your overfit LSTM model on some training and validation set samples. As with the RNN, training results should be very good, and validation results probably won't make a lot of sense (because we're overfitting).\"]},{\"cell_type\":\"code\",\"metadata\":{\"colab\":{\"base_uri\":\"https://localhost:8080/\",\"height\":1000},\"id\":\"NNp68dcAFfBU\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1614097514966,\"user_tz\":-60,\"elapsed\":9051,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"edab916f-1946-404e-880a-2f81e1dd5361\"},\"source\":[\"for split in ['train', 'val']:\\n\",\"    minibatch = sample_coco_minibatch(small_data, split=split, batch_size=2)\\n\",\"    gt_captions, features, urls = minibatch\\n\",\"    gt_captions = decode_captions(gt_captions, data['idx_to_word'])\\n\",\"\\n\",\"    sample_captions = small_lstm_model.sample(features)\\n\",\"    sample_captions = decode_captions(sample_captions, data['idx_to_word'])\\n\",\"\\n\",\"    for gt_caption, sample_caption, url in zip(gt_captions, sample_captions, urls):\\n\",\"        plt.imshow(image_from_url(url))\\n\",\"        plt.title('%s\\\\n%s\\\\nGT:%s' % (split, sample_caption, gt_caption))\\n\",\"        plt.axis('off')\\n\",\"        plt.show()\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure 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Vsf7RaRKpiHxBWKunw/9fkBz7GxH5CRH5O6yG0u9h72l8Bl8uLS1Ndii9i8g+EflrCZpmbFdElrFqs0ekltCPiIXzxpLzx8P7MzWJsuN+jxAzbd2OlWGfFy8CvklmlEmPUNXTqvpqLEnwaVKXeP92rKDjC8QKNG4LW2kEj8JKIPzZdhsGEJE/F5H/1vptICLfEF66D2AlZr8f+L5wyj8DDwsvw5eIpcLPe78lrGTuy8Pfk2VK2QERuQT4BizzcB78Oywb92nAx0XkNySod1tgu+WNn4yVJb4auAEjqL+DZfW+D0iTjt6OMbLDWGnjV7YI1n/EykYcxDKWp5UcBuZ6NtvBj2FlLKa9SNdjTODXVfX5rWPfh2XqfgbwAbG6+F8vsze6uQn44vAyH8HKd0T1O5Zc/tf0AlX9Dex5/EyQ0tJSD0/ESmo8KPTj6VPuK8BPYUXNHk5daXUWvh5bT5+N5RB8e3Ls84GbMc27UTZbRC7FqrE+Fws9/QDQ3jjo88Pvl2L7SfyWiIiq/gjwtwSNWFWfOTEQ085eD/wvrGLuI7EChoTfDmDP7TFYJdKJvTHC834tRtwuAX4Byza/JDntqZg5aF9oI30Gc2cvz0K43xuBv4uaZjymVjH2cTQl9Tuwtf51YXxHsMzkX9niPofEzORvxyoHe+BL1aoUz4uPY9n+L5j3AlV9G8Zwvjh8/58Y7bgceEdggE+VOYXWrRjBpVjlzKoWSSItrInIo2dci6p+jar+dHLtj2OD/kEsbf0aVX1qkP59uOZmrODY1VjphWOBk8/DEL4BS9X/S2wxDoDHt855kYicxmySlzI9xb49llVVfZmqfgVGGG4BflfMtv3EGddtt7zx76iVpT6NvZQfUdU3aF3SuiogF/pzXFULVf15jGmnBbreoqqvC2UHXsqMUsbzPJvtQK108V9hKmwXHoHVcZp4YdRKG79BVZ+KVVT9U+C/Ygz4x6fc72bgLEa8Ho3tAXGHiDyMnVUufZFa6fETWCmOTs1RVT+sqn+lqhuqehQjfI/Zou3/qaongpb7/2HlHCLuUNX/FZ5pu7zzVwPvUdU/DuvhRUxWmL1VVV8cnvlLsP0S5jW1fTPwBlX9fbWy58dV9Z1i5bWfDDw3rOVbsLIrXfsoPB74kKq+NIzh94H306yn9Luq+p5wvKvi7YXiCCYYvFJVf3SrkxN8D1Zq5fbkff1G6TDRich+EfkDrFTHYzEB7QGq+mxVbfsVj0hSDTX8LbfO+SngCbL1hkgp7iAp+6Kq/6Cq34uN///H1tXtIvKbWzW0FSM4DlyaToSqfoFalczjc1zfxqdgxPmdwL9qs8xthTCgJ6rqZRjHezRWTXMrPA34w7DA1rHKnm3z0A+o6gGMmB/CCM12cScmXb4LY1idbcjOyhu3S1i3v1cMUUT+X7HdzU6Llds90Gq7Xcp4oWtRB8zzbKJAMG8J6+cD3yvdNv9XY7Vv3hQk0U6Efvxr6NeAKXsxBKQlrG+iWcJ6WsG6aZi3hPUVYvsrfDw845cx+/nCZAnrI1OOtXEkPR6k3LbJ5K7keCx1vZ0S1h/p+P1SbO7bJayv7ji3Xeq669y9LmH9eGAR27luO7gO+BOpy1e/DyjpZqQDTJg5ga3Nf9PpRQfv0GY11IPa2tIzCBG/jJni58XV4f4NBCYW35lN5iiSuRUhfysmYX/tNjo3Far6REyyOga8Qsxu/cMi0rWg4jVvx7IwZw5GRK4BvhSrCnmXiNyFmYm+OqjU7XbfjRX8+hWR+ZwsIvJZIvKL2Mv3PEzivVqt/HMXdlLeeC6I+QOeg5kwDgXmfHqnbc/5bO7ECP4DW5dPK2H9fuzZdTJxVf0hbDetN7XXgIhcE+y178XMW0exQISp2hc1I/ji8PkmtmYEF+qg/MnQxqer6n6saupWz6BdwvqOOftzJ4nQEdbtdgSZeUpYd9mpj2HPvV3C+uMd57ZLXXedu60S1liQynbwYuD/AK/rkLxn9eE24HEtgr2gqhPjDNrSIzBb/TXAP4v5ip6+HXN2Cz+L7R635W6CYoEwV5MU8xPzJz5TRN6GFWLMgC9R1S035ZnJCNQcqi8AflVEvlHM+eLEnG7TJngmVPVWVX0hFrXzDOBhwHtF5MYwmC8Ske8SkcvD94dhtu6tKkI+FfggJjE+Mvw9FCPa3zTlmpdg3P4/btVvsZr6r8EqNj46aEYvViuTPA07KW88L/ZhEvpRIBeR52M7eO0YWz2bIPH8EfATYdENROSbgE/FzFhdeAFmB57mQH0mtp/yG6WOHLsRqyb6KZi6/hBV/XHdOmDgJuxFWlTV2zGb+FdhtuppJRzaZYy3i33YrnGnAzN79hzXPDvYlh8A/D90mMem4LXAp4vI1wXN7vvYHpHcaqwvB75cbKe7PDzjR4bn/ofYc98XNLgforss9euw7U2/ObTxJGx9/Pk2+vlOTIA7LBYs8IPbuDbimZiv5DUisthx/G7gkpaZ9tewMV4HVSTOTCFYVd+uqs/AiPKvY4zhDrEaUttCoLc/jwl4nQgmqa/BhKOXBYEWEfkOzOLwGOyde4Cq/rDaVq5bYkvTjqr+DPbQn4NN3t3YgH8Yq1k+FSLyehF53pR2VVVvUtVvw9TJWHTrFEaY3y0i5zDO/ieY42sWngb8qqrelf5hD7czekht05VfYuvQLTCp9lpVfa5aid15sJPyxvPiL7C5+WC4xzq7pHLPeDZgDOIEpnreg71wj1fV9uYmsa2PYv6JTsEhmDe+G6uj/4agvf0pcERVv01V3xzOmaffH8SI8t+G72cwx+vfzVDbfwv41GAO2EnhtxdgTt/TGKH+4zmu+TPgnzCC91qSMMBZUNVjwH/G3oXjGIF9B/OXsP4lzOZ9UkTaeywTGO1XY6Hb0eQR/Urfj0nqN2NS6P/GTHvtNo5je3A/K/TxOcDXhL7Pi5diZtdbMH/fdhyvsR9xXd2O7ZOx0Dr+fmx/hpvDsz+Czc+rsT22z2Lv6+fPeb8NtXLrj8MEqA8kh9PopPj3n6Y09UuYOaqN14Q+3YbRol+g6ax/K3Cdqv5nte1vt9wbI0Vfa6hHj09SiIVv3g48RVX/+r7uT49PXvQlJnr0+CSCiPwHETkots3p8zB/xG5qmj0uQvSMoEePTy48CovsOYaFZH6dToaZ9uixLfSmoR49evS4yNFrBD169OhxkaNnBD169OhxkeN+Xd3wvsIzfuvfFCeoKqVabpHl/qR5RgpSoF6wDH4wM50gXhERSgFEcaUiTlHJGu2oKh6PiCCheoK14UAK2nlywrC6t2qJUtq1ZFUfVZWyLBvXxv7FVtBEfpASVUXV+hyvi9/jZ+ccIoL3ReNe1puyniN11XW+VRBCRPAhD0jE2o/XOq3nMN67mgtAJf5js2d9tZ/smnJivvDxXvUzFBFK55B4LMy7S+bEC1jJGSikNr06BdF6bsSF8Xvra+4cqkqBHfcCWbJmHMlzqNZOPcfp/4CtGZ+OyRHXjlOlPiQozWdWzZsqEteY2LzbuuvOmdOyqObJa4GIsm9hiCJsbBaUpa1jVcG55jqI9/Xe1+9CbMtbH3AeL6Di+a2nfcaelyy/WNAzgj2AR3GtF8UWti3uOqkxfvfUypkd84EJAKgTRMVo8JY+HWtHyBq5k6qKD8ROBFSNAQntFxGyLMO3qXAK8cYMxM5pE0qguj7+Fu/RZDDxc/hfI/GRxvGayEFd8FKxn3M73kESGgxM0vto6zytfkr76lxNDNP/XRmv99VTK9HG2CKDaYyXZjdTIh3v62nOUfpstPFA67lRVbz3uMBIqva8QMU8tPG/l3rNxSPi0nVYggbiT3ovPzGuBpI1ICI4J4GfalgTYd0JxFD3lHk7p401E9uyZ2Ez4DSy2R67hZ4R7AGqRSpSvWVSSYYpOciSl9tXv3tRBHAJkfbCBAGrmsOD+PDiSyCW9UsWEQmbQQPBTRlTR/MSGVUk0JF5leEybbVbX9fWEOzF7hpCFnsEuAmm0cVIjCkIXsvACCYbbhLR5BRNn0VgWJo8mfRwB5xSMcGJ+7km85qNOG8++deeu0dN6+hgCjYHLsxnk3BOth0Rn13a70D4RVu/0fhdGm2F/nSM3zrZZG6x+/b8BY/DBW05XXbSYCAaBJV4fb3uFAf4hgbW48LRM4I9gMcInmhCxOKL017A4qmlNnsxVTyCGCNATe50UpkqGpeLtr7H9puSYCph2V9WmzpaxNR7j0sJa5T8cdQEJr6ckbg0qafxBqW+fyQGkxJvLbkrKfWNxUKjZAmgUrcHiqhrXVdrXnafcL5LxxPbL+teJ4Qo7VuKmuCWlZTsK9NT0Bpi281bVaYO+zFoVLTmWFNzjEniXeyk0RYOEWPGlfmEaF5rmSKpNQTVMvTVG4EWyBOtCFLTnVYabVxv0whxSS3dx7a8CqomzEQN1JdK5prz3WT46Qwm5i6NY+6tQruJnq3uIbSxVn3r/wTSktLEN35LX6rGZZGouxbBIvU5NIlcm7hFSX03kZpSor23IZ2H75P3jTb8zP4kEh4fzAi+9Ufgtt39j4ynvl9Z+QIazKgzo3+SOaR9LoMZR6V+zqk5Pv192njjOKdhK2IXmzOzX9Ey1bUZY/PO6ur15Sdu06EBTNzcdf9VfZt83tUa9JPH69tNN/rsxVrtYeg1gr1AlpvkG9esE1Cb6tSO6300hUD6sroiC07J8EKrIs7hPPj4MuEgOF8dgkiOBLO9akE4bASJaPcIUmxNQcIdA8GLEiEOldrPId76rA2buQZinSNSVHb9aMcXLXFSOyHrwcUllzI6V9mfo9Rp0mE8LgkRCFKvmokAlaA9WXsl0fyk5EHr8UGZKhPiaAzU4YOJrBRzoALkcY5dIOC+tveLZJXD2lwTtZkv01ozckh4GBLWQmRyilfBuYzoeDUiGh9J09STamaaMnzvg+Ux8cV4QcXVRFcENHHEkxJlc0OLaiWlV85ojcxBKoNMvT6D07+yajUJswsaqWhJJpCJMQj1QRtwDq/gM6k0vgZT8LU5Ka6T1OkfTZU9P9hd9IzgXkaXuWECzl7y6ByOi9+31P3tSEdNc8J8/VKMmXkhIQjRzIP5JdQF0bcprQlp39P2mxJf7Xcg+X86pknJXXJkbdoIzHBi7rTyS8xz3y6NrO7zdEnWIrOo+kKHv2TSxj8nEqd97IeZ2sLYpmiATgWJzm8NAkbH7aMBLPa1aZKb/sTSuYlrT1WDmYnIRZNzm+tlsq3Z5/S4MPSMYA8QBcPqJQk0aNI2XttsUzhnDagEX4MQPrvabk5N5Ky9EnDVi28mZ6mk+lJ9JTVP9JesQYScc/gorUogkyJhYAbzRShISZPBmLRWUhPAVJ6UELJqEn1qSvDJ/PgJX8JEnxsO3+CXmbgmMk+HKDjRoEHEKxKPh4g9IzWzD1ATykQT6iZEHhrb9yb+oCAxRy2sZiieOjoqYaBJ27PG32CwkShHAUJ9HbU0MV9UY4tWNRVjBlrZ7JsMpAozToh75h2KPWeV+tos1RCCucgijWgwHvMVp216vPfkHYEHyYxW5/fMYHfRM4I9RNTk1U1Kk7MgkoWXOBqZu85K7MGa/lbfx4WXHIKZqqMLqQmmAU3a1fb5Xbb9+HJ2j7MiXDE8h0RL0aZEu11E7SVE2DZaciKByTgUNfNZvG91suu870T4Z+dc1VFHnf2PzzLtmBSBQCbtBzNSvM9WqJ9B6mA2B7Q9ujI8lknC6pyj66E3WWsyNizMuLkOfVT7Jq6y/kjiZKYal2LPJJ2ldF79DO2sbqu3C+02ekawB3C0F/+kel4f727Doi2appXoFzCiE15SZ5JdjElvEJbEHNKOLmqcG/vZivaISVPRVl1HpMRxUBG5uq3pKny0W1tfIzFOVaetmcA0E4qXmvGCkceycY3H4ZpMTUErm3b3vbqQ+nSM9/mptCm191dMmSnM9wJg97GIs2hT91L7O9rnelUyaAU0GCyqWEPuim8lpdXnVMEI2j1/qoL3zTWeIXgxllWbKydNiNOCG+q2e2awm+gZwZ4gzcQ0408kcW0JqZP4aVaZZSrbaoOw2oueiYaQPIzAqoL4pqNV6ySlmCPWJtrxt/Tlc1o7erPQFZWWGcuoQRW2WDdrphKlTixzLjAxBmgVBVSGvjaTkOoonvp+XQxAVauwUqCai0iUvJSVkzb6BMAYtSYmIzObdZlnEvNI4sQ1J785tRVjAjItPLgMmbAJI8gcFYGNUV/RFLY9AleHiUbirt7Z/P2Ycb8AACAASURBVDrL3KVM7fTJ2EKiV1wfqlo5weOsWzSaIG6QOOutjYKi4uMkcx7hvQ9Z1EKWKd5Hf4wJLjbgxGEewmDHKYOFSojKuzhWj11Dzwj2AJkmCzlEulDF7adZu7XNP0UZo3yoX2CXEGkfInpKVaTMwqtSJyVpkhUcpXhNiVVlTjBCXNFSFx16BTHzGBRcbtpJOM1rEAFDzpFpBsEsJSHGPpTJaGdYxz651AQQcg5qDSNLDyTXxbGZ9NuQNH3NNKLt2jEI4qpPrnVmfgjPyCk4nEUIic19pVkE+7sx9KzRj8ByEl4xRXtwdo4EcUAcFNjzs+mtEwFVBUfIIRChVEkIZZPYxmeuVR6FAy+IFPacvQPvjHkHc1wshyGqOC8hCEDASZWzUJfAsEgfhw+RVU2mSIz0om43PlvCbzYejwbmL4BzNo/eezSGu7qQ/BjKraSBDa66T625qWQdIa89LgQ9I7hXEMMjaw2gilppmWPsWHcrlWNNBPX2sqalHCJxipEdW6HtvI6XVOUpxPoeUUv+JnpHKTHL8oShBYI3pe12xvNse/gkk0znKHUYpyGmqTnGTo6hh82SESlqoqYVQRTJEvpel19oO7WntWnnhuNJZE+W+Cc0karb/YnaYHe7k0EG9lwyI7phPfjG3Fv/U0Ej3ksqkyONz133aD87oalNhh9Bg5mpzUR2AJepOd7D1DnXc4LdRM8I9hrRVNBYtztdxLHQWlPdn6/NJlGdINQVooQZ25z+4sa+pPHgEhyUW9l4471UIYtZua2RlNGm3moilRhFup2LU53gW2C2ecaYgZ3TTEKbNd6dWrPbTuYmk6vuPHFdWkRQWkS4FhgSU1gw1VTaW9Kkr0aQjqJdQykx66Xjd+a49g3GkzCKNKRX03XXBd843rsIdhc9I9hLVPZie/EiAaucq5rUXSFd3NNWedOmb98jQYrqfPIWS/3yqGpVB6cqXZCYwmMYohHyKmOgK3BogkCZVlIF+M0mptE2nvxU+U8mRtm6VBUfxxtMSHEeGxVM6yuCSWwaw6w/O0zgVInJYPHXtIfxc/ocQhb3pNsljCmcrzbrDcIszf+7Hvu0uPnU0Wo/uFA0rhpNq9/SuIWEdScNul3ZIyc7sk2oszS/uI6SIy3Nty6tAa4KLU2n06yrIf+BNkvosRvoGcGeIK0flBKNZshg07wxX7taxUgGol7FqAapTWrCYMlG3eUTpkJjddL5+lU7vJvmrYlzoiQ7ebSu01P/BFiFzIpEKBb+2TKfpZmoaeRTbSYC1SYhmjmecLgZUFp/60q8s1abv9fmk6Th1q1jDH88X6aywGa7MUJosj+TfXDE3GNj8l2j3ypJqyuiTNN7J3Oe/l9XLa3b2TkcLj5T6Ix26rFz9IxgD1Cp79SRISaZNl8GlxHC6yLhivb+1PSTmlmCD8BHCVibspYkiU2+ltBNG5Gktr0VHIvtehHERedhsPurgHokSGxCrIpJ0jcYhPh8gFItTFOdr/YHqPoeokYycZQCEpyGeK2SrWplJjIGm7csltaQJDeDELEjMdbFiLUESV7IyTBfStXnMGYJ2kOppl94gUEVdkk1JxqTo5wQy9OZoz7sLSCCiwX7kn0PrF6+Hc+91nqVQCMLWF1tlw8hOD6RhqMzv818vPcg8dWN+0EUiPdk2SCc4xAyVMaJLpAkHKqYI5ZYgrutKaVmmDLxO8X1FZ3acWHbuPLcId7u7xGLyGo81xi65nGSQUhmbMsdXbkqVYa7SCMgoseFo2cEe4LusswRqeQ0C7X5p33AVy+3SUhNx2GXdNm+XyrRRfOGlRqYJbnVknHNnIyoembbeNP7p6GcqR0g3n8eqLQdxF1n+WB6juNs2cbDRXml1bTRrrQau9p0hkuHqD11DidKQsyHdnva6G/Thj/p84lIjSqCVklts+7cnWw3cTyYdyziNGiVHdVy605GASJkxCf+gq00hwvTLHp0oWcEewA1asosZ2sjvp420d/KR1BLVi442VQEUVfFgne/LN1mjRR1UlYivcWImRh94wQLRfWgHp/sIVBpGh0ZraYRmRG4YVagVvVTZiDaTBKLiHkRIla3X0M7NSHBNCZHFYqZmhLqAnDheyCKZo9u+muiGSQLETxx17AYWeM7nlUWwkqnVvWcuKSeq/SRTM0zsUEAtUCARO0hElabAwmaGdVGNKUJEs5RFrabmBVC7OzYDKRW/Lr/ztnGRuNxifM+fSwTY9HE3xPHW5ediIeapq/UDNhj99Azgj1AxQeIqmzzeDsmu72ou7SFyCgaeQdJDfsqtDGq+a17TmgXycd2+GAjuiSpnS8uVKoMdWGqvAit00eNCcwj0cU3OjAI6ssywhx6nYwYEqkIdoPpaSR0tRluKztyt+Q8qTFEW76ZgnRibg1JqYlwXRcTm8TkRjyz+pqGrtYd9Uy636dok632mmjmmcxCM0oqnTNjqM3n1lVo0P6vxiNhDWk0FXWNdytBqcdO0TOCvYBmyZvQ4R6dIvFMOOSmEggPUmC28BC1UgZClDX37rXrO0wLmr68NKJZTGnPahNGKKEQs2NNeAybjajgM6tAWpsFFPUdewBjwl8MOY37GFdml8R56hL6khqdYr89dfnkEiWfIHoatmNsEuSY7Zr+LqpolnUQR2lcF5o1m79q02FazeWkmageRbuPkQlMztNWOSVpRJMEO7tlKJcV47bOtiOHMtDMypeHkuA+mnCymB3dukfDxFOvqfp7kiPhcrz3tcZLczpSx71zKflpztvE2qlqMTXXTI/dQc8I9gAxsqELswjylu1WNRTqhKFmMMr8tlU3ReuQIE539Uopg6qfZPEmZaTNbJKcv0XoY0w0a5hDEmYAk7JpxdyCBzLuiBXb64rnj9nC0yKadous7Ja5YsL/MBPRST5tFLVPoPFrIo1fWLRoIixUbQe/TQxDbmiuKVIJvw55jWa/tK2JK3vT0K6iZwR7gBgQUxMos52qKumm8M65YJ9No4XqCArV1iYdjXo2dqAIzjaJEq3G+PFYGiG+gGUl+UWptX4Ny0CNs6ruTO4U74WSEiRDncNJjBvSICKbT0JKF6JHmv3vQugZqmbOaGpH0XZfmws0/l4R8qCVhOuyyExcnKs06LM2ayHWjlIzEdNoNNj/4zOANtGMsxS3eLaqrrUGYdpbWjo7lcKjuarmcOKycL+yHpOmtaBSBtokoNU9k0znGHkTk7Lqa1NmX5c0B7PjN8M67XlHE6GqmcFEpP5dpPbfREEizKXztglNWY4pSsU7K6XioZo3iYJMy0dj8MGnkWNltEPp6xAG7cMF0S80h/WqxzbQM4I9RDu2uvtY15XRgRxsrpV0tN1okzltqoFY1pu0aPUSVzkADXNBO0u5o/1IbNPbaLLr2Q4lOnModvlPOpDsARzObJ4fn43ItsRin4ZhBsYQ91+YGWFTFQRU4n4ONTNxE2sk9r0tIRtSSji9712SdZdPKnSvWjFt/0bq94rXpFFg0ekcx9Tlf6nuM6GdRDugqz5LZUqL+Q+anNtrBLuNnhHsCdomEbOj2svSfDG1oTLXL0wdW62oD8TDdoihsryKJ/HTttB62UiiSSZMNq5FB0NBO2kmgUllBkozV4OJKkrSweRQJIlslS1+qv08OT4DDae2r5OWLKcgRqAkzvNqE590jqWi1Ts1iXjqfrjwjKI2VyNNHkwZfpDcJc5j/Vzq8U8S7WZNqSaa/h6X/O5xrsv30SSobYfvxLm5q4rRta+P6zjLM/Isp/QbpnkFHxIiuCSFuvsJxzVN0JCNodb9ktZy7req3G30CtYeYB6bZi3ltUsBNFqyF42yNt+IgJhJpit08UL6GO/Z7B8V4Q09n9rPrrZrhyzNomYicxH+eH7aXls6rhZxtetZiHKSWEE1YtJ/MJsEdkO01pDKnTwDV2+ko+IsCS2YqXxwyOMEpmxoZMR79i2aORtbn0fVH/vspf6LNVG1ikSaQs7FCPrEPUPD0562PSdHu25UY+zJbm4iUmfU99gV9BrBHmJSK0i+TXlBI3OYZquutYXpiUDzEIrm+ZFopIQntd1rZ1/amJQyrR1RyEK75YyOdTl6u8/pMA016joRpO52u83vO0VGzLC2BkvKlrnDTZmLKNXnWDJX0XieXehihunc1uZCT1dF0qa20G0Siojmn3bZwZJmjaS2qTNl7LOeXcW44ynZ9GqwcSzNPlpveuw+ekawBzDJRuqwPCAPBbgKQlKSuGDemHwZfEXBaiItEPYR9kHmzXAllM50A0GDGcDOrpyQbIbrs2oPgKpAW7WHQTRNmHxsTCbDkpOCSSpxOhJKO1iRupSI1WNxVSKTSb9FOKXKD3BY+17JJceLlXywuYkvvw95GPXm6d5uYHvuJszFYvxdRSZ8Jgx8FpyMaVm7uHm6PSPnYj2iyaiX3LnK2ZnugFaKhWim455WBTXuxWxtRhu5beqiYU2IOkS1qsIaI6G8BIc3VL6VKmhU4l7A5rB1LkcL2+il2n9BPWVWFxZx6uM2EvjWfg5d9NuFdTQInlpzFNscetTCf0uHeCUbAlJQoGEfhZioljQcGbIEMx/1/9a/qGHFXJCODlYhZZNMr8fO0TOCPYG2/oc0oNRtIWCnvtemTlFvmjKpGbdj0pMTQjp/0YiMwWq9iJ9dQaCKUNrKijiNEDYl2pQAOGR20ldbym993ApNJpA0IWbeaEriTSf4LK0hXg9d/padYVZsfOpbSWOF4jGt+tHWFF0jTDiG6wZZYUuz0VaoNVPrlbW3VTnpHp+I6BnBniA6UdMXwnZValScNIo4QUiyhNqlkmrWToSyb6Tf2v0QsioaSLLU9OIpYwhn5xhS4j+bCXTZ4ase+Louj4ggZZTyEz9Em1Ynm7i3iVXlhESqENI41V4sjNGkd0+R5PXFnb+ipGnbZcZEuRKRnEjEZE4imY6r61jNmNsmGYs6ipEwWThFkyeqYjJvtUlQOqcz+qMhTNgF/4Iv6sQ+h1Shs7Scv/P4bNqI6yjL4haeZYMxbjmHiVAAobBgWxNI+tdj79Azgr1ASJePBEVEGsmZMp/JvQPBiFO/yxURjls4Vvfoar+xHZZJwFFKbHS/6+JtFktLPQ3pXzQXSEIIK/NXNFdU/WkWI2sPJTJRH+zaXRvYTCu+14yvb4byzuNgddU10zWDrYhXpdXtaC2kZpPwXXxS6M0msuHw3wNaKi4ynXqr0bYeO+3G20sUu6DJ6rEFekawB2hIceHFUIn22doxW4qS6WSURVqsrP2uTJBiKaq71nCVbRqMWfhYDlkTIh2ZSKcDrqTey2AwBxNIO929UUwkoLHs9Gw9I82YTe5SMUGty2Z7xVU2Y494hcyR+5rJxGPWj5YzXTxSzaOr7P9mDU/+kmfazmWI45skZKmZMDA8H4ur1b4LK7aXMPLEBNhYD1G40Mm57SCrtb9FTPOpzTnZXFK2PbOkqGD4P8tyvJagHpfZ8bJU6sitdOxboyfz9y16RrAnaCf7CLMN8U1oW9gLaJdfaNiVQz39uEl6/C1N7c/jRuAaWo4vd9fbF+oLzYPUZh6jdbYToSPtgYV6MrGW0CxMmo7q767d7OTVSSdKC5MMm67HtroYQUPeVWU7BK+6JjXFbDHGlBlsNR8TjDNRReNcdJm0Gr6cec1iqRtKLQlRtemEnoXoHO7NPvc9ekawBxAfzS4e54IUHjYBqbJ1iTW+QqJZdbUVfKuqe5LXkqZE4u2rF1F9Vps22h3ROlnIOaHEVzYaTezwlZ3cBTNJCJWpI2HaTKwuSU2I8Kj2LW6f2+Esjt9jdJTXEoIRJyNWN9V668SG090ibpw6BFclK1U0tbKBlyRlkGoC6oSMMaVfY1GUUe5YXhyTkSFkjL2yOlbGBRTZIoX3FDpiIDmSQbG5YTH1uRGxLDBjSRhuGknVTCiTevp8WZXDVgV1SQKcSCW9+1ZIaHNf4drsMo2YlunvEtYlJU4y2ywoRB15BzFRS4j7MtszKROTYvUcfYmoJ8tznHMUY09RliAO1dKimCphINxVzTQo3jSHUsycqaKos8TAzKcmrWC6FA8aSVWvO+wFekawh5ga8x6QmhLSaJAuKXeW1BSPT5OO0+vb57Vj2OOex9MzWNv1bGZjZw7ILa7pKGCmXkL1zcAonSJlgcsGqCoFviqBkOuYoVvnin0DDi4NueTACqMMFEdReI6eWefM6ga3nT5NRo4b5IxLTzFWRqMR4/GGhW96b+a9Rn/TmkMpdhZN09ytLkVkEImtzxSNxPyTaGppm7Faaecdu/aRSPaubjH2uDfDvEjvm67FqPWk4bZRyEC7zFjbn8se09Ezgj1CJDoxTK9MSgQ0VHNXq9hdoYHxRW6aIJpEpVvFj0QbYl7DtJcnHhc0bGo+rfpj+jI2z2l/bmoGs0pqxyJ0pgtF56+GMZhfpS5eJlX9oFBzSMKcNsYdpEo3ZJO4X4Ij9+s4HXPDYeGyQ/u4/vIl9o0WWBzkIBnOWR7Chs9YG5fcecZz6sw5Pvrx45zbhHUyNsdmFxfvcKGwWilKXpVESEY18VxmE8z0fLPhw+SOcNMJYB0+6lrMIHZCqHI9gpSOUGliooPmqZXGVkf3RKYnvrRS1sMhTnIsOS6bWGGqWpmkcoL2CbbuQ76DFZYLx12T8VVaaWT+O9jdrcfW6BnBfYgqBrzWvJsbELbC+2JUhr3bdWG6qW1rzDadZBTpefXn7ntH1OUdpDKai2T4ZL/fmslFm8x0BtSFpv2867puR6RGybkaS4biwv6+ivNjlrJNRply3aUrXHpwyCWLC4zyAYPcQT4K1wtDyRmNlEGuXHfZPg4fWOG2O09wx4mznFxbQ3GUJYgOgymku+Lq9uP0Z28M02hvIoqrGTU2nelE01l9t0xjEHHN8NPy5hqc46kkbwmMjszK6tK1hXBj/abuGKaviMjE4vqN2ueEybHHrqJnBHsEKxKm1csawyanhswJVT2fVGXuissOtDK5T40sMzXa+6LSIswP4My+Xt+10k6qvmJaRHQmt81JpuWkpiVXEYmqb/FIFuok+aiZTDchxNJrjbEGauEI0VYCpdSbsERHbmVLDlFKGqReVcjKDXKUYQYjt8FDDitXX7qf6y83LWDAArlbwDsPPmc0COPNMlYk47JF68+Vhy7nkQ+9mnOb8Lb33ML7PnaCk+fHeC/4bBAkXnPM2xxNRtmkVWSnof0s7Zpm0biqvakzaZqHEPsxDm1tbb6JfMW3mCpZZtngYGHKqjhHY/2oKlk2wJdl51igDpdNo6DS6Ch7BSyj3Z6nmfmao52VN9Njp+gZwR5AXCDCWjtVY8mFgnFN8FyGp7TtD0lMvYl9VyqnYLu2UC1527kuRG7EcyNRCtdLSbT0ppvJVP2EplQbHHl1jL1QJOapSIDtwlCWWXzl4HWl4MkoM7vH0FsVykJ8wtiig9nG5mK5jaQbjgwvJQVmRPYSzG3ZIHSzDOaGzBypWuIpYSAUXsmkxJfrLIxKHnzlQS5dGTCSRUQzvHMUWjBggDqHSh6ImxFtNxiAlixoyVBKBiPHZz/0ckQ3eMf7jlFkQ1SUjBzUSnl4H0oxg2kijWqglYzdYu6K9+OEWEetK5SukDS8NzDd6jdvpjVM84kBAiK5aWWarKxKizCinldryO5VuoJ29JbdYoxUGqi1X/gxw+EQFY9XxbkcXzLBuGLwgThHGZ63Exd2sCuIRQJ91AADE6gFAgs3juHBtYmt9xHsJnpGsAdIiSuYZBejgCJxVlW09ERa3VXSv40uX0CUtuPxbVsjIHGyTqL5+3Q7f9NMMV8nUiajUIfHStORmbacqbey3IxxDpwURjhCHZ0BJeApNwqGkpGPz3Dk0BIPuuoyrji0gqMgy7Jkm0yTXr3S+E1E2NgYk2dClgnOlwwdXLF/iS/5zBs4fewctx47w7hcZLWA0XCR1C+QA6h0VidtBPJ0OPlTlGXYbF6ksX6iFF4HVtWlxKv8kJmLwSfnJoylEcobNziq888TQ2Ig8kJZFmYaUpeY9brH2Bhv565ls7HTNd5jNnpGsBfQ2s5ZFZULpYdpSUu7tarrF2z7cdmdpocpbdS/m2Rm40xzDuxDZe1OJdIp7dXltI3wpHWUNGbLBj9KieUpZA4jkL7E4RnJKoNBxv5hbgX9JEMYcsDt48pDi1y+L2cgIDKg0NoUIRBKMlgcfFooTcGikQQ8HueVHKXUMdcduYwz6wWra6DZCB92k5OWU7NN6KdFks2zDLqfTRQE2vsazFcJVLWoroubCU0yg/T8mojHsUUmkEYXzYeuWlLt/JXJaKutmGeP7aNnBHsAi3qJNnj7rX5pagKRt16crdxhTYLSbSudyxbcltiyhpxnxD34CRqRJ1IAMZSvnRFdOxrB6EhkdKKxrv20/lgSnN3XV0RUA5GzbNoYcWIZ0m58jqEbc+TggOXRgBsuu5R9y4vsXxzhHIxGAwpy8mKDoTPDxvpGwWZZoB5KfNAMzJ7uNVT9dPYnAlle4tVTqJBlOVkmFMWYlYURn3b91aysLPKav38XwhIbzjQCJTo8TfKfJR3PeibtY7UvJ8z21HBSGveeRjBrs2HK+JK4tYQZmIbbbC/PMjMnVZpJFHq6x1blxSSfLwQXen2PJnpGsEdohFOShQDI+ndXHWOL7NftYnbkySxMy0NoQDxblwBOqnhW5opQ9HqGIDchPWu0ttcEZpgVUBbsy0sOLQoPvmTEymLOlYdWWBwNGGQOnCC5MCzHyDCrEqTy0kwqhW+awtrmlugYj9qM98Fn4MyHUI4LlocZD7j0AA85cpg7j69x99hMUj4wr1guQjrmdHfNG1Gv6b7PdDRNlxAZQTczaIQ8A1kWNIA0c1l1F3y4tR+KKjqN3je8x+gZwR4gdfpFwpJXRC5v2IjHvpbC6+vjp9ppPOkks+/el41zaklwkiFk0Skcvlf2a1/3N2xHZmaXluouDE0qb/g/6oqTVtLBJGovDtHaB4KWITqoJsKpM7tp9jCHY6mePDNpXYFhpgyLdRbZ4POuW+CKQyMWFge4LGNl4HACueS46OzNwybt0ReAMBrmbJxexZe2Q0PpFa8l4jyjLA/WEUehUJRmKhoMLCmN0pPnOeOsZCkrGGXKl33Ow7jr9Cp//Y4Pc3pjk9VswHhzzEI+wPuCksEEQVZXxA/JrxLyKZItSimpwugTf0CaK9Bot0X8VdV8H3FNhDpMlqshaPRbhTWaJY7ttO6RqXfWpxgqvLC4RDH2+A1b06rm/FcnyXOlEd0V+5thDKTKAm+g6WMQJplQbLfH7qFnBHuAiUUqzfo10Fzc8W/exd2M/Z98mZr23Ob95n595nbk7SyCYx6TiSOEJpZYuKIWjGSDSw4ucWD/ArmYeSfLh8HcYE75EiUrBZfFXa7MnJXnSlmWuEFOqUXFCCWEPGYhTlVKRUWq5DrV0A9nfcyLnMyVCAUrI+HS/UOuvvwg/ugJNjbHkA1sK1HXLCGdFgK07y1CXv2Wrolug+FeEkXfRZ9pMiPvfcNUla6v3ehPO2S6/bnH7qJnBHuAmthDJeHo9EU9ITFOXe9Np2rbMZw6IrukRSWV+NgB/d5aR48RU11npXWWutA+5kKykqPE+YKMMVccyLn6siUOLOaI32AgA1QtVDTu4xzNUcHzQBb8AYMsxyGMRiN8qRSFOUrHomSS2e5xHqsP5STsKhc0LQ/qjHUs6ALq1xHGLIhyySjjoddeSpYVnLntHBvAmJyxKsPG3MVZqAm+fY5E1ExGrtqreH4T0tamoJ2h0j9bprRoRvMhFLWy/09hXG3Mciy31/SEo5rZ66jH9tEzgj1AqhobaimvrRFY4a/5IiEasftJaF91F62du7VEVd9r6oYm7a7aKFr3Sn5vVTVtRhKZo1TxhHp79Qwojb41wkc7xh59KAuZRzbPc3gE//4hl5E7IZcC5waUhZlx8jwnK815mUmU4gukEPK8ZDAYMBgMcA72uyWyLOPE8ZOUCpkbUJSeIlPEKaNMrAidlLaNZFngXYnfKCk3SopinWJ8iiwThqNLGLp9PPiQ48j+KymK2/n4PWvctZHh8wEUdf0jG7TiNE+Im1TlG5CaARgTaCdTNecmJf67QRgb5a67noWYzyNzDh9Md1VfXEdk0S71a7IfPRPYbfSMYA/QJGxVIv/Uc9sv826owJUDOpW8ouN27lZSZgDqYmhfk9E1LbrB/t8xhMrUTHPc8Xt73KJlCB0dM8o9l+1fYOCUDMjcEEtsEkQyfKnVrl7qPFJadU2XKWUpOFcyzC3JTp1jlGfkeY6OLexS1fQJE8FdSL4zk15RlDhK8CVeS1TPMj57NwUlw4M5DBxLCys453jg5YeR8jR33XKaYb6Psv3cw7ah9fw2BYPqNI0MZDojmPit88ztY1pVkBhym+p7qhpKpMzScKcVuJty/4TYN0J5rfE+lWwP0DOCPUBZlglxt9+6pCX7weHLeE54iaZmlzX3GRCxTOLZ9tTkN0clpcfw0NDgjNE0mUGtDXTrF+Y0BJnhYphgAq5s+DOqfquSD4Sheo4c3scNVy2zOBzhvWdjU1HJEJdRFrZfLxRkzpGHKfR4Bj43v0E5JhMlz3PwQo6yPBqx6Tzn1wrEWXlrQVEdo4VSlqs2A96ctrkTRqMBo42cU3cf5fzJO8muPsfCpUdwg09ncTDg+isOcsmBg9x96gMcWz3DeVkmZs/GTVu8LxtzUc1/0LJqB/HsOayZRSCeLU30QgWKqCFk1CVGfFmCt3VnpqHaoRs3HNrKfzFL+21riNV5MumE7rF76BnBniAyAaWKiXcx2xPidieR+MUXJ5cYLVO/UKmpp9r0Q11CQHyDYMSY/Ezio61fyiLufVCGWj2ZVfrMK/9FNEk4i7apCI313Wsi3SYMLtcMnDAWrTZCUZ8jUuKCo1xEjeCLs6Qr8ThfolpSkiFOQTewmj05hFzWFAm96AAAIABJREFUTB0HR6tce/gSDq4MbH/fWHpDpCp2VjkuVfEieHHkklOGOSyBdQcDHFm2gZOSUVbAeJMyX0XVBVG4IKPEF+ts6iYiGflgQO4GiMvxxYBN3eDA8hJrJwv4+MfIVcn23UApi6wsLqO6wUOvPczah2+h2FyiCOGk6rzVk5IgV1fPNc6pD88/PHtpliavaaJMEFsRIZWVTaCwLVJj9VAnYrxGQp5wNBlKZby0a8N6iFrdGGHgbD/k0chMbKvra621WYfdtth52EOaKkLJhxw4KcNaSfhXRgwzjhFuoTWt8xV67D56RrCncOENa5YobppEEvVfrSyva4nTTRs8mDRupQGax+LnydBCsPIM1qCdLypkCj7YkaLENU1i6zL3gG3DqWJ2H8UISB6KzpWUiAyQzJie1ZlZJXMF+WgMUrDfryOZUMrYksckw6tQ+DGjEj7thiM88NL9HF5YYkDGeDymPLthDmJv5Q1itdNSbUOboigoXMlQBrgsMMzNDTYKx4Gh4st1xidOcP7sWVY3TrGymHPgkkvx4ihLB+IY5ItGvPIMRxYyBDYpBo5RKazIgJMf+ADn7r6Tqy6/lmF+JfuW9rMgSzzigRkHloW/ffdRTq4pJUOUHBf2s64dxfVev9X8J4+yDJFG4gQJdYTaBqO2r6WpGbbMKx1Se31u078UPzscQgneN+6hmq5jYyOF+kYb0+T2aCY0p7FWv/m4pmOtq6q/04s29rhw9IxgT2CvahVuNyUU016YeD7JW9NhY50RJroduNZnTSXSXYJtMBJf2hwRF3NuoSgYDUoG2TqD7BTiCkbZmmkUbowX8C5DvZBvjlkaCFcduoYDSzAaClk5CERzw5SHoMn4GJ3lTaJWr7iBMC49lJ7MKcORI1PFb5xn8/xJ7rjl/WysrVL6ddg/4sC+nIXFJWThMF4dZWFSeyzrVgJRTB8MBozyEYP1DYrxMTZP3kE2yJHla8jcgH0LOVccWOaSlZOsbo7xMmCt2AQPbjiYeKYigvi6dn+sF+fD+nAtwtpeUe0Q5DZRj+d0mQ/b56UwJzZhVzHb8CcNhxapN8ix6LhJYh0FiLYgUZVdIfFpVUJOaLPuSM04emaw6+gZwR4j3RJyamRMh3MtXtP+LW5TqRpry/jW8XQzGmjLZHGDF6WuUtNpb96GCi7hhfXU5WrMfJOROattn3OOzG2ykK+yvHwW586wwccppOBovgpOOK+FmVFQPJ5DowGDImN5+SrM/p+RySK5z8nznJKSMjADHxhv6ctQkwjwjtEQhpkwRHHnTlJsrvKRj/4L588e49YPfog777yLpX3LXP/gG1hZzFk5eICDS8uoW8SPlig9bIyVTe9xeEoKsrHHD5bxw0X25yPOHb+LjXf/A6MbziAr1zBcPMzyaEh26ACf93DPodtP86E7TnFKRqgO2PR19m6DCKslfJHZHhKumtWgJWjiN+h4PHasO4qoLeWLr00/cQ3E/YNriT8kCvoCQkXQKuyzqqkU763gbG8D+6G9Rgw+KEM+NXul0UphS1cJY+l6F3rz0O6jZwT3ItomnqaDtI7FmL7QU2exEYlYOTRmAc8SlpQSnNlg425ggoBORjS17b+x8a6+VYXltI7hR6LDfIxQsJCtkg822Dc6TiFHOc8ZTshJ1rTgnBSoE86pNybgPSrKugjnNwvWirMs5Qs478nyDJ97BoMBJUJRFvhSaqXKnDBG2IoNfJZRqlLKmPLUXayfO8X5k3dz/vRxTh47ytG772Ht9oLF4QLXXH0ZQ6eU+08xWFAY5ghCKeZLEV8ilAwlQ/McHS0yGC0ycgM2b/sIxdIK2YPuJhsOGA4OQZ5xeGWJay5Rzq9vsHZsg7XgMO6c72Q+2xvNT3s+7d/SayacrnMS0AlNBfMfODHzYbrbXjQ3xWsqzWUHUrsXkLI1ZnVBc+21gL1Ezwj2APVCrhd0KS6E31nEiMMjeEoFvDmBy2i7n6gXJCaBVcRV6yqZGh1/BKds874k+QvCwEwTYbP4LA/OQsY4zUEFLx5c1DqalSCVnNoEUFQ9FM2QMiQahTGM/Aaaj9jwnsVsjYP77kA5xXm5k1s2j3EuLzg18JxXzwa278CalIzxEPp1aGOT/aOMO8e3c8TlrJ+EQ5ddyWC0yPnROkOnbKx7HENKWcVSwByI4rIC5x3F6bs5d+YexufuQc/eiY43OH/yLlZXVyk2NxnmI44eXeOvbnoLqxtrPPj6a3nQqTOs7N/H4auvww2GLOT7URmwCTgZsskmK3nO8sI+Tq8soEsLcPvdnD73dq64/jo23QZy+LNY8crG8ghxnn3LR7jr6M1s+k28c+BGqM9Q9QxEQRylWtmFMkjLTh0ksfo+lOdWIk1vRta4EiQL6yKLewn4CZOKSe/NHe9sWUVNIDp3Q2a0K/BlgRsYE9gsC3zQOCUtCeFphC3XKzAuZ6lqbGVaCyMaIpBch4lKXB1su1U0Uo+do2cEe4h04ZrU3A65dJWT0zD/4k6rmMa2Uodx6kBMv6dIpf4YhVSp/h1woa+BFYUfw85nLea37hTVdYbZOovDNbw/x7g8yzFZ5aQfs1p4zjhlPYPNMgMcm04otbAwSPGsogydcOvxu7nu8GEuXzyEyhoiQzKEMRjRpyR3A8pCwXscBcV4jY3zq5y++2bGqyfJyvPk6+coNzY4d3aVjY0NysI2VMHljPKDvO+9N3P+zDmWV0ZsFpt4lzFcWGKwtEk+WsJlOaOhZ21cGCPMYDgc2gY1PmN8fp21O+/GLV6O27eGGywychmjQlhYzLjk0IjNcwWnNrEd5MImNh7XGTE8GVIbn4NM/G7x/IK0zt0NM0qMQJq1y17Vj46dyWJY66zrZvkpqrZ74r9n6BnBHmFyUbdeEHWoeKLiXV8zK0XfBSldku9N6X++PoVQVu+DdJlVGoDxgyn2ZS0RMixEMyk5PBDUW/XNLGyiUjrPQNa5YukenDvJravv43R5ljtHjnsyZS13rGYZhctAB5g9uDRnZGZ1bMqhhYG+4dYPcv7sOl92fY6s7WdheIhMDpAr5KwhOWi5SeZA/CnOnTnBrTe/j9Mn72H9zDFcuUFWjhmWmwydUK7HHeQGZLmjKE+h5QJ+tMAdd63z2te+hQMHl3nkwx7C4soyi8sHWFheZmlpkeXlZQ6sHIRhxkAK3GBAMVpAi4yN8Qbn3/EP7FtdRfddRnH4KhZGR/CjIaOh53M+5Qo+fOcZ/unjpykLZSwjRBy+9DgcmgXzWphX39jsp2n7T3NHqt/COV6wct5bYFLCjm3HT3VmucvMQb6xuUlZTjq6I5HOOxJIyi0I+Cxhpdm/7r73uHD0jGCP0A4XnWALElR/qevvp9dOX+hRi5jtE2g7flW1jsWorgnllxvnk2S+diAQ+gwLDVUKsjIDt4ETj3O2XeWoXGNhNGZpeIb14gSnWOVU7jk9LjjvHJvq2CwdXh15XmslEvusSik5a77kZKl88MRRrt3/MS4ZHEFliNMVnFrcuUiJy8eoL1gfn6TYPI76swyzTe4+eRcUGyy4jCUHGyIM/ICyLBl7qx2UZQPWxhusrSnKkIWFZc6egvd/6GOsrOzn4KXr7N+/n+XlRQ7sW2N8ZhXdv8Rwc4PhuVXY3MRTkmUZG8dPML7jFrJTd8AoYzC4kmGImTqwNOTylSWGcpxNdZRS276dc1Wp8sbzq6KImkGjdSJhlKQ1MGhqf4nQKBPdxUTmRTtfIF2dqZbgO9ps+zsqU1YrXHkWI+ijhfYWPSPYY0zmANSomUERztAqGqMKPU3aiRbies/hxusYWw3n5xMvTupMTA9VL7KE5LQOJiQiaKYhokNxbDDMxuT5Jkv5OpKtQraOyy0p7KDbYHlBgHs4v3qaM2xyT7nJ2cGIc1YGDsfAokzGRkRjv8p8AKqs+k2KQrkrW+K03+Tkh/6F60eXs2/pLPsGBU5yFhZKxOXkUlL6gqXLljhyxTU8/CFH2NxY5fzpR3Lq5AlOHTvOLR/6CKura5w9fYZcHNlwhJZh7rXk9LnzrG0WLC4sszAccuoMnDh1io/ceozRYMhwmHPNVZexb3HEdYf2c6mWXH30LmT9LG7JoZuO/RvK5oc+il7+VvKzR3GfeilLC1eQyZBLl0vyqzIeeHSZY6fXuOf8Oj4bWrht2CrSbPP2DEsBdYHpRwqfOsVpEsgSDSEHFsEzaUBK1l6yOUxFoEMqsbiw0oJW4X3BcDQKFUchLZMx0UaH/LKVuSquv64N79vXdYXF9rhw9IxgD9DlLN4KMV57anvtGOyGxhE/ddhnGy9qWTGalIDE+O9pqF/yDBfq8QgFTgqGg5KBO4Pm58Ct4eWsRSflBT7PwZ8nH5YMRzmDtQJyZ3qEwqCETGJ551SyNaf3WNcZ5gOKXNkUx53HT7C2fobcDVhyB8gGSwwktz0PSkfmBgyGKziUcrzBaCFnmMPy8jKXXXYZB/Yf5NyZM9xxy62cO3OWo/ecYnNzbHsMnNtgMFogyxzjYoNBpshwAecyRiEr/PyZ83xsfZ3FpRH5uYNkg4yr1jfIik0QT1EUrAwXKNfPsH70HtzyCrJ5inxwiHwwIs+FhWHGoX1LrK2XuPMeEavgqeo6KKaV1q6Lz3XvQTD9wXnqOP85r+lALa2XE7/F9RE/F2U5cb2bk2jP0oR7jWBv0TOCewkxZrtR4VEI5oAovk2LmdaYzhROMW0gHqtV9uTFjNEiqeQoAqIhEKWueioChB2n4iYl6jwDP7BQzrywe3nIs00WBmscWjyJuDOU7nbO6mlOZJusZZ51t4mo50qE/UXO1ZmwNBSuXhoiG+tseFhTx2ZhZQtEHLn8X/bebEmSJDvT+46q2ubusedeWXt1FbqBngEGwACgyJAyuOQFn4G3fDK+AilCGWLAGSxEAxiAABqNrurq2jIrt9h9MTPVc3ihZh4ekZHV1Y3KlrmII1IVm5m7p5manu3//1Pheo8LAXVCHxVU2Y0NSMeWLJHnh+zpjFDtcnD3ATP1OFMsRrw3zAWwaoiujaI+QMWYTBJbRFDlzoM5KfW08zO6ds4Xn/6MZ1+/4D/933/J16dn9N2SoIFy7iicx6qLyWUpGSYlUUpOz1f8/bNP+Dom3nn/IY16Ku+oJjWrvqO2hsU/fkZ8fk51/336hy02e8Be8QbiW3748Ba7VeD5/BlnfYu4AnMJNAxyRENWpw4xv3HfAYGxMLe+r2vMf76vzjlM08ZaGdabZXRSPm/4m9tk9o7pBpfKP16h8IGoPaqKF485fxmFNK7zsdyzsfZH2ZFx7Y9HX+dMflGPYDz+F2UPN/bL2Y0jeA12ETm5V0Y4L59z1Qlcnl7FIN2w+ZwIFyzel210IGSKlsE4+Wt8P9lo7G0iVMwMZ1mzCJdQHB7B6YIqrNgpz2iqr1nZGc/TM47knCOLLIFuYMEGgz72PCimlAq3ihJmUx4tV9QSCM5TWEGwALJLisb5wugAs6yH1NSeWVhRHz3jjqv43ffe5+2H77M728LOVziD3hKIogTWc41d1ihKKRGcRyXgPLi6QJJiBIpmyrvfKzm4dcrJ2Yqdnbv85V/+FefnK6aThlaFtm0JIeSxlcNQmpQSnhJ8Q5uWzHtlEjzis5icU8FSouyU+NUL7PFjUrODL7dxtVGJZ1o7DnYmzErPsovooKR6dT2M0P/Ljdz8b7x+XeWeQX6p3Mw3S+us4DLu/5o16AZ2s1ke7rPZfBYZpDwukGXXbtzj+hp+dMbFJLLvMKK/KQ19t3bjCF6HbaiDsubw/hKni994wH71lFgkQzvzw58upSPrTICLBt9lZ+Qw6XLNVxRLxiS0TMKCpjghpi851TO+tlOOQ8+xM1qB3gUcECw7IV/VuMWKW2VFJZ4vVz2rBH1Vs2xnpFgwX9QkEzorUOfZ9hW1eJr+iMliye/vPeD3336HHz54h616j2Aecy2oYtqDCEaVPycOwQ2blgfnh797cA0Eoy4CmlqCOEJR88GH77O//4DVasXXXz/l6PAYXwRmVSBqohDBudzDaNsWcyVFKOk0MRe4FSrEWrxmTLwmo0yOeL4iffkY9vZJW9vE6UOCrylcbhzvTTzztiep0SdBhkb8IO7Pqyv8F/fw1Wtjc6PU9T1FYIxTRqdyidnrBJKtg4zcsxgi+gSZ+Oh/4Zq8TpcqJ5VX3vDG/ruwG0fwGixP1rqMnb6u/rl+6Hk58huOuHjgXin9fLWMdGFmOsA8hw1yjeceuMVX0mvnNhpyQ8XKBJxGpmHJ23cOUY5p02N+cvYZT6znUVNwZo6VCr1zqHo8nt4lTlV5a77go5193paa2Ebemh7wv//DE7442eJkdY/kpkz8LRocW2rUorzpIjMRfq8RHjy4xfff36JwnjpMmDDBVgs0nZPiChGHcwUaA4Ki5DkESSFLPhdZrlpAXJkjW79FWe1iYUpRn/P2e8rewQmTyYTlsuXHP/kpT549ZfHiMM95Dh4xRZNSlAVRodcCFeVxNWVre8K9k0QAUjpF6REPExeY//jHlEWCuMBt3aPZfsiWK2gqeO/2DE2RTw47TEIGA+igSoogzi7d8UswSy6jda42UG3Ucrh0vuX3EMOZQxgY0xtlJ7cBFhgVQ4si0MWePik6IKCuZrBrJJBlB3KpBOpydpnhxznjkwE+fWP/fdiNI3gNZpfmQL5acO4iTb+MvBiO2HjB3CRUdzlGHJ3HdWnyiPjIz7UbgsHxoR0f3FHa12+cd7G5JAzTQOE6JmWk9E9ZxGOO4wueEnkuwokJLY4e8hAWzaWo1gdaLzyZr3gwUx4WBbO6ouqUPbZ5sWi4I/t4aWgMpiY8rB17jePdbWPiE9+bFczKSK2JqplSFDWSVsQ0J8VjLK3wfpI3Xqkyw9mGZjMRXMBJGi6lZZipc3hfgnMk8airqOoZs5TY3W2pyxXvvPWQg4M9PvnJv9C2LSQdJDyMPiUUwfsKJ45TCTxatkzxNN4RzBOCI7YtwTs4XxAfP6Xa26Noz9G4IIRdTCMH2xMOz1d8drhEBeIGIuhVEM91FH9NRH4pmJARPfZyBH4d+AAuovjcK7oAIfgQiP3LGeqm81nDR6/0AS6/8VXG/C9v3wytvrFf1W4cwWu1QdbNHOZ0s23HqIkDF4iQi4ZZPmZtkoleXmHoFq6beXEDxifKpQwEWgpXouaJ3ogWcckoXEFPhJgoBPwgF2Fq4Dy985h0xGRgidlszs70OUftlzxrz/ginvAVypmDhTkSFaSeYBErCqJzME/43dt8ebKg+WrFb3/0LufPj6jdNr+1c8BWMqTc4WBryrvbCyYVvLnfM3FGlUAsEMqCwjeUlLBSJK5YSAfpHNWneLdCXENwJWo1KUt7gjpMfda+j2nICBySFHVCdD3OebyF3KgtK4JO2L9taJeYbU1pu473332Lo9MT/uRP/jOr+SlNVZNSyg30siaa4+OTOY9FeN6fc8t7fsfXuG5OckoqXC6RPXpClYT2g88QaupbDd6X3Ns9QFX4+OmXPD3v0BBIHoJJHv4iIJKGQGDcgPMQnpeZKXnUwbA4LsAJbPaBhr8NG2nCBi2l/HdvuQnrGLPDPJbSi2elPYpfZ7DeXwQNmw1c7/34Zhefi7y+xPJ2IxhIWsutbzaPnV1s9munck3/5MYZfLd24wh+TbaJ7hiRPtfh+Yejr32NS7Xc64+4eD+Xheh0UDdKyQjBIaqoLgmieOkJGKV3mCWiKaYOU5CizJuNNwqfSNYx15a59qw00jtIZOYvGnFFjYrD98pMhDpUdHPHqp1xHI0nzxOz4hZunvjo9gEP9x2TScG07ChTSRGM7UIpJFIUFzr4zjFEkgoWwQS1HrO8ITvTXPSWnlwKGkXdOtRCrmePCZqkIWPJG1BSY5xskzOFglB6ptOGqikxZ9xtSj766EM+//wLzo5P8rzkULNctTRNw9mio9OeSpUFkfuzmjvllKJ1pGWPKzyrZc/54SH+xSPcbIe0tY+4Kd55mkKY1p667VjImKWNPQJZO/xvtcZ4edN86ZhL2eflcs5lUp/inHC15PRNvJhXbc5X1/XLjOaXTa+81M3G/3rtxhG8FtsQiwPWQza+8UHZQOy4y7pB32xjRnGh4Q4yCMAFYpfn9AYSLi4piByUHU0tvLFb0RSBqiwASFFRhPkqcrrqeXF2zqqfs10fk8pnfLU85ZAFTyUy9wUrc0QTgqvQpVJ4z9QfYB08Xu5BV/JBeINn52csuvv88IPvsTtRrO9YnZ8QF4c4Ek7PcHi8ZZGzKB0mkTgMfteiwPsCzJOsB11iLAm+z6Uf85ivEN3GhrHDThKaQtYSUg8ShqlpgloiJYcTwdkQxUqFcx2gTGYNUgQO7h8wn8+ppr/PD/7ND/jqi0f81Z/9Be2yZ1pOWfYR8YHW4KiFIMKTozn3Rfj3oWLfT6hlhXct8uIE+y//mXT4CPuDCWH7DnW5x96W8MZBzeliTh8jDL0cEVCJoH4QZxuD7LH2/3KUPM4UvmrXlg5dzjpsgCY5A7WxWZ3JXSGErPKaIjHm4UPOSY788Zde+5tIXn6UrL6CKHpVOKNy8e9Ywy1uHMFrtRtH8NrsauP2Kjz0FfXfy2e99Dqb522S0MzSOtKFPO7STBHnMgksrShlyXYVeOtWzaxx3N+d0hSBovB4cZgE1Ixl17HsI09PhPNVRKYdJzbHkpIwNA7ZwPCAJyoa5lSpJ/bCeTch9nfZK3cIC2G7mPGbH/0m9w4O6LsTvC2RquesOyOqQOoQcRR9kSUjiIN8RRr6KLnEJiQ0tWA9JnnMpZgOjrNFaREpwfLAQ5N+YEJfTGbLxK1xIGJGAnnvkRCIwaNRMZfLJwmhmkzZQSiqPK3s8Pn7fPXlU+YvzvFlSYyGxFxCURGemrBqV+wluFMJ73jLm2Z02OdPcJNt4ruPsrbQdkXlCrbqmmkVOO01z3MYovI8nOaitCPre/3Lo8g2s89La3BjhV3HC8iw0Zebur/MZ3BjNnzl3OscxyWJjG94z5sM4bu1G0fwOmzU999ARVyta16tr17a8CUOdaDLmcF6cMjmW5EjYpGhQTjUj2KMSIAgHUE77u/AOwczdqcV7xzU+GAUviaYQ7zgB+E58UKXHM5aHuzvY1bwTL/msy6wd+LpVp6TRcKvwBNx5ii6JYXfI65qVkf3qNwt3iv2KF/M+d/++Lf5rffucN+DLGEmW3kmr+uGvsWcpZZo6lmtjrJ+0FA7dkVEQkEfWzR1qAPHErUO5xKJhKYeUcUFxfk5pueoVUi6jTrQlEtFQoHzNSI+16gtZLSMHyJZZ2SwlxGT0WOUZUkoApNQUc8iO3vbTCYlh4fH/Pi//ZhHj54wP13iCVl6WkH8jL6e8v8sl/h2zu9JwZtFYH+yze58gf7jZ8jenxLe+5Dme4KTbR5Oak53Gw5XiZSElJmGA+N6XCPjWhrq9HIxNnK0lwhbTkZu2stLFNYOZ1yPm183I/yUDO99RgyZrTkVVxvFm2vz0iaedJ3HjCWol46BdTZy9W8ZxvpyBnRj353dOILXaaOoHFdhdpsP23jwFUy4jLMAvgXCQnJ0e0FCkkFvXjGNeEkc7G3xxq0Js9JRuR7WhKGR9OaGz5Dr8ZOiou9azCBIoiwKqsJR9o7gsmqqmODEmFjPeVey7LdpuM2ObbO7WvGbb73B//jRGzRFgtaoCk8rEfMVxhbid9He49NTJI2OLGczCShVN4TycoajZOVQ1WFsoibMgZM2o6PEZVis5sHzmUQtGBEZAPSmgzOQXI8fy3HeZz2nrI8PWECVgVQWsODZ3pmBd/zG9z/kzp27/Ne/+FsW50tCkTfVPgHqSVLhQ+DrRSLMWxZdz/QAfN8z/+Jn6KRG7n2AqxyNa5hVDi+jPj8bzdYNyOi3iIg3ncA32aXXunjR9Qa/OWdAddSg2nQY3/w5Lr/XRm9gWJ+5b3MhR/GqLOUSAG/DbjKC79ZuHMFrMIeiGwLzL2M8NjODlyGjeWDJhbpkPi6rhypjJmH5fVyObEW74SUCBpQuD7ffrpa8uV/xbx/WNEHxIiQavPo8r9hLliCSocSSBC8ly2h4L3TmKNniwHc82NrCFYHTvuO0c5z3RpKGLu5Snd5hlwPuq/GDu47/9Y//J25tN0w0IV2i9B6nSjCwlNFJNFOQHu0qoilqBWKCaE8QwxJo22Y9IQ8pJjRFxCW8c1hy9Cgu9BT1HLMn+NjRLQr61ZuEcCdrD7kJ0UqElJ2jawDBSY2az5u8GVKUeIHQrzA1+uWCEAJhVmcH4R07tx+ytbtid7bFg/mCuw/ucXR4yr/8y8949vQ5Tx49oSCwP52SVPhJpTz2nu1onD5veVAZb35yzvLsp8yaW+juHcLWB7zrJ/yYRK+Cih+IXQGXkwOSgUoWl0DSBnJgDCqG9bPG8693arJG0cVaVLV1uWZ8hYv1ZjhRkvaEsqLtWzoUkzytbd322ihTXbcpj01nYN2+0g1I87r8MzgsXfc4DGQQN5Tx/QaGvIGzjCa6yQe+W7txBL8G+2Vjl8tp+gV6xERJKf++8Ia4RNAeyGUagKT5KypoWnF7t+DhrSnTImGaWb/IOGAEnNpQh95Qf5TsyNLAki2omLiGh5Nd1IRP09d473EqpHNIXcN2X7ITE//hgzf5d+/c4t60olIjxB4RI7YRkzxmUmwg3LlA8DU+1ASN6EbWlL+90PrRIVMh5usgXhE3gH4SKEuEBegR2sHp13MIK27degOpIoWrsT6BD/RpieDzUB0ZHSI4dfl7lVzOcBlVFGPMDWUnBF8QUerZFOc9KQpN04ATDm7vI+I5Oz7hvFuBGgeTGb3Ced/ys5MTekp2YqB8Mcc9eYJzgaI9oakDEwJh5EGM8tFXFs8FwXD9m4t1dqlhO2pQfbs1t9n0TSkiG5IaL733t7RrS0ff8jV+ccT/q3MRbuxlu3EEr8HM8tYqIkO785erTid3AAAgAElEQVSz9RhKxocnAQZq1M7jxSg4p5TIve1E4TyTpkJE6C1vnOerE2Lf8nvvf8j+pCK0SyzkVqymAWs0RnUu5yxjhTfPvjE6BYuBgi12q4odCiZSwYHy1WcfU9R7tIc1W4c9f/xBzQ/euMvvvvOQxpXUtqT2nl56IgKlx7sAqUecAAWFzTATymoOQOzP8oSylNnQXnOEaJ2BRFQjTof5DUFw3kEIGIr24P2SOjyB0PPPn/yIefceRzsfUE/2qKYzZlt3qespbjLDhwIrekQCWJcvyECGC0PRTKNhKRJFiIXii4yioaioQ0k1jUy2toltx+39A1arFb/1vd/g/OSczz77nOPjY7765HOO5gu8g277gPMY6Z+f82EJ5Y/+gfLNZ+zdKZgXR+y5e5z4hjNXA0IXjPIqjnKwX7RR/qqlk8J5YuqoQoGmhKaUS27rKv83w1TXzHSum6J32Rm8zJCWS5nEmKHkktLlHsk3zsy4sV/abhzBazCXt6+1Q3jFs/xKu3gwMjR03Vg2IC0JLnJnmtidljzYdhSlZ2syGRwPqAnnrcebsj8pcJoycYoBhTKUEQbq0MZDthFNGsMDFxCrCHgcNTsy5UGzx2zZkWTJrtb81q2aP3p7l3s7jsatMpzUOmLytG0Hhcc0kWJHWfiM2pGcFQgO8RU+tDgXUHlZxni8qlmXX3MtWwVzebMWNVLvcCZApCwV78949vin9IsZOzuCP1uxWhhNM2Oy01I1E8qpR3xF8IE0yHCgCVIkDXwDEzeQrMaGfK5z9BYxNcQHQgWznYArAmKeremUuik5OTlhp254+vQpp0fHHJ+c0CbDL+eUWwW3FgH37ISqPmZWebarbZq6IAx3Pg+JD+MtufRVrukBXOWkfLMzuOhVra/wUG7yzuG9Xw+pH+3bRPSycdxIarsqLXTd67yK7Xxx7EYGMOqf3Nh3ZjeO4DXYGMno8DCOhJ1fxTLsLmEYZaHsTBL39z0/vF3TmFLV24TCU1WZC6DOZ4G0rsZI9P0SVzjmsUf7GhFFhye0CD6jhoamtXNjXdaoxNGJw6RAU0nSQCtQFTUHfckfznZYzTv+8PsPuTvb5o2tKZNqH7WC1J+iOsuNWAXrDaeOpijpUj+wUvO/z7lAVU4Q1xPaEjQRu4gzIfYRcYYPilmGi7qUN7BkI+NWMYlUNUioUDGKqXH7oePZi8if/emf0zQPqJqGh++/SRFqdvdvMZlM2L19n3oyZWtnj7JuwHxGGZnD4dCYMzENgvhAFEVdxBm4UBLNAx2IR51S1SXT2RaxS2zf2WG1WvLuO/dpz5Ysz+ccHx1x/OwFxz/+hL86fMzb5wX3dcExnzBtTnhwZ4djK3lRJMwVdLXDkl0gfETWePqLjXSjF7WJNZBXR+3j+S85iuHwoigoy5Lz83Occ0S1K43ib35duNAs+qbMQe1yXJ81ul7OIiA75fxYjeXLVwUMN/ar2I0jeA2maK53r+F0lpu4m0gNA3GW69GXoIA2RKADuScUxL6jLmCHUz7cnfLenQmlRZRA5T1ePKUUF3VeE5LPssH4mpgsC86l3A/QAa2R1IEHiXneQBkKEMF5T3RQDKjF894onDINu1jfsWXwB3v7xEnkbhXZChNc6Imc4rXAmyfGs0xAkgIsgC9oaXPUnfp1PTtnAZ5CGqrQYL4jSpZONjOcCtJlpq2hRBIOIyQPlnDqQRr6+YrSeVYSUBJ708D9g5ZVjFS+4+i4xX2yRagi3cKxs5NwVtDVZ9hqSV1tEcIEpCCUDSaOPgk4h+vyDAenBSEUEMDQQccoN2gly7SSSvCFx/WOsqpYOU8zndEst6gmDfv7+xxtF5wf3ufxF48JGnlz3uJ0wUF7yt0q8GlzwNz5XLJL4LOXHhBQ5EzqSkCcJUscbq3woBtQTx2yyowmEzdmg6x7ESJCkpTZxF5zPwqPswDWD7yLsUR0eR7Ctc/ARX1nrW573bF+owmSkWC6UYAaHIq5i1zVueF6X/u2N/Yr2o0jeA2WBvi/sCHkZWtVIEZhSDUYxxJelIIAyfouMXWgSiGGpJ7f+a13ePfWBLoTnAYwoU8pDwd3ObIPIeSoceAFOBfxQFAjdRl/kWLeFDTmCVnBD41FFwmSo+EggZSrJGgK9K1Rbx0wm9V4q7lfrui7hIQtRCJmc1KKqHlMAlBnNI4IyiCB7VyGtTrPiHAxM4pQoRipaNDU0nFOjHmYjA4aO2KZZBYG4b1oSnCWr6GDrs1Z2GR/B8cpB28cAEf8xocnfPLTZ0ym7/Ls+ClVOeXo6OcUpWdnb5fpdMrewQFl3TBpdgi+oplsU1UVk9ku3nvCpM4RbISYVggBFy5q4eLdxWY7lN28FJgZ29V+vtFJ0bt3SH1E3n+XfrEiPHpEePaMs59+jSx7drqWd2Pin/pzVrVR6ZR2WBOOEdJqeOwCgTM4oJFHsolCGzO9MchQ5VIEvukE1hvtAKUd6/sXwctlz/NdwDev49V4t6mrBDpkgN65S+fd8Ai+W7txBK/BzMmlzFXIGQCSN+KLUtF1hKFhIpZ3JBO8Gk4SAWW7BPolkvLErKQOirxxW2+IKKaSSzzOwHR4qC7SbbtUSsiokig5cvQKaZhLbG2HD4O3So6qmtJMtiikxsceWwZCabSW4YaWWiKCcyuQAnFZGkEdYAFxKQ+k1zEbcutPInIhuBdCmcsRMTKGwJL0Ihomb/5ZIM1ytGwO7QOdOibaoLKiLByz3Yq33y44/NqzaDswR/BTQNEEi/Oe2C1oOyibCZNJT1lM2N2Guq5JUSiKgsYJAcMFyfX7mKUlHEaS4X5mYC9JcwRvQ6Zgmvka4hxUZVbyFHClJ/R7pNjjwjFlNHzs2E2R242xCEqblNZnFFEaYJV+xFEKjAJww6JDJMNjr+oJXWLyDnuvswunsA7ebZxl7AfugA0w6OskU769vUoe4iqXITvbzd6FXHvujRP47u3GEbwm22RJZtuM4OCl3H7DLlPwFWcR7yJNAGKPx+g1R05dImPzhwZv5hcYfiwNiA3JfNa3l2Fzwvz6ccsDR7LWvKisn/vRSU2nWXPfFRVOPMIWEorMXYg9ookYu9zAdBkVJHRAXJdODI/aUFaQixnFYyQ4/uyceylSHMYkc4FaGSJCJ2hyeMnztGLvkTQFtyCJY2tnxp2DEx7cDXz6xRyRXbpWKas8XAUCKQnzecuL0wWFm1OVDe0daJqG7WVPWZbMLFHWNUVf4QtHKCq8uTxwPtklhU8gZ2hDpG4DF8Q7l0G63qAQQirR5ZLlZEbpaxp6cEpTKPd3Ss4Ujk863ICKGucU5Kj/An+fr2/u64xkratraVP07QLS+Yp1O9zzlNJaxWo893XaBYs5vYQygpc3/xtn8N3ajSN4DebXIBxhLT69KblrLkMVxWP0ZDawH//KqOSbYaSJyhm3ZjXbkxofV3gpOF+uKELJolO8JIowZBYuM1STGwaLeMF5oSg8iUFaWg3VUcZi+FTqSKKYU1BBfEItUjcFBwd38V6IeoYmj7FDMbmFT4bvemJckNoWtB7cXYExxcxniWsJQAJxmFQZDuvA/AVPIFPlEhAJRS7DaA+WBIs6lF4UHS6udz57MCOrnmpA04zloVFMWsr6hCUd3/9oxrRaYj+a8y8f71C6JaYzxDk0ZfRRbI1V8hyvFhhLvvj6FO89t3e2qOuSe/fvUE9rJrMJu7eOme00bN/ZJVQBX1YgRS61mUN1bKjmrTOZkgDvWIu8JVdRWWRe7fN04mnrQ7YXZ7y/OyXcK/jofsk2E07SnNRBVEhWb2g7pcExwIB5XbNxLzZOWV/X6/Stxs83mjNw4lDL/aKu6zDzOSjQoZS3kQm8aoP+NnadnMUYdGTdqI3POzQbxt7Hjb0eu3EEr8GuQwmNe+5I1ZdxgpnmSD3bBW568wErg2PSVJld2yaKssznDcclBEm5RBMjqHOEYaJZ1qvJgWMIIUstSMxNxCHSliGjIA11WYQ2rZhtBYoyP4GqSukEVU9KAVWHJaU0xVzCiWG0GB3ODKNGlUEdlBw9w7DZ++wM7PrIb5MYtY5odahlDNfKbfw/9xAczgraleZmbuUx8QTf00znPHhrm8+/CHhr6Ww6DKQfmqPiMfOEIoA55m1HWrWcvXjGZDIhxY7p1oTp9owYO1Ztg6ugmtUU3udrSQBTBom/9b1lQGVluZF8BURDZsh6o6+3OC1nxNDxThGQpqAIyn5ZMpv0PO8SXta3Znhht0bxXL5uxoUK7eXruj7VNtcaLx9rV4+7+r7f3VSxzYzwlezkdW9Arz3mxr4bu3EEr8HGcYmX0EDD8+OGui2S9fR98FfSdKHXhDejEBB6Ht6q+OH7d5gWnjSZ0K96iiB0/So3jbHcMyDD7JxzJMkRfWlK7UtKL9ROEBUa7+k1YS6SopGGGn1sF5yfHfLkyafs7Dh+59/9IXWZeQiIJ2pA6MEr1gVECpDnGcVTBmKssViSJGaJAymygJobHJwrwHogoi7gB6RT1A6xmBvfMSJJ8UaWotD871gPpu/HEoJmCeugOMn/fvEeuinxTOmKJcEf0TdbHNyd8Jv0/MPffsrJ4g7oEkeBt4Ku7weEV4F5T+wN70tElBT2aHvj458/RzURCrh1e4eDezt8OD9nulWzf/8O060ditkWRQh0KWcrCUGcz67KcmaouOyRJdE5z6Ks6Bvh6ze/x3K3Y6toeaOYsbW1S1lv83vvecqvE0+en/J01ZHM46TEhkFC6xUzBgSSqXDrJraMQcBFOWjUEJIBm59LVwn1uRdT1zWrthv6PUXOPLyt+0zrNa4vZwf5PS5H+Zu2hpauN/eXZVTkasn0inDjdd/f2L/ebhzB6zDJM4Ev/eoVJJrrFnRRFKS2xXvDk7h/64Dbu1OCRMQg+QF+uRH9jQ9mFyPOuawXkxJCIoRAXQacKVUhee5ATJksRcJix3yxYHn2lNOTJ5wcfsHe1kMmdYF4Q3x+VNUyZDMPjc/vbwJeOoL1iDfatBzIdAOpSNqsneRCrmK4jLBxatg6E8o8gXzpsqyBJR1HbuXfD1d0vQFZyjN9LxSm86YbPUpgtQhM6xIfasQrddNx727L+cdnqJvQx4hKlYl2WuCKjNnXgf8BgCsH5msiWU+3bHny9JQXp8+ZTSv29rcpmyI7wqpExPASctOYsZ4/RtG5R6CAqUddQMXRFSXntwrOm8Tn/SHTaptZKKmLkoNZydu3W7Rb8fW8w/mKlHKGsLktj4QrN9aHLq+yjV+OcGXBjVnGAFkWNUIIiGT4cs7mXj0U55ui881m9RjtX7fOL15DXsoKris93Wz+r89uHMFrsU3kA1yqeV6TBm+myAD0Q8NOl8xc5IP7BzQhMg0lnUQ0RtxAbBprBjZGhQMkVCxP4EqacK5jqxYqt6CLLWdPnnB8dMbJQlmuOs7Pzzk7PWZx+pjV8pB33tzn/u0f0C3PcIVSuCxf4TQQtSWlDrUGbJLJa6oEt8CzxHxNF+MAnzVMquyYtBiALin3J6TEa4M4R3AZFTNucNrHtcZNzqZG+KOuBStNRj2eDKUMgwJ3oEIUutOILHZp9p4R6oKd/R3+4x97Htzr+dO/OEWKfRToracsPYuUMlzWckZmZhRloO97YoqEUFBVJX1c0s0d/8f/+efs7E75j3/8exzcOuJu2zKZTZlsHeDKEpEiN7U3N+1hrkIbcsbTUdIVnsX+AYttxyeHNU0143a9RVU5tqrA90php7zF05NHHLcrelcj4ujHCH0orzmRIQsFzC5KKubWTeSMKBrQOTKWkrIvMBJlWV04lRFxxOaci19s163tCwjr+LvxWRiPUjazlvV9v2I3juD12Y0j+DXaN9VERWSA7gmW0jDSQKkKR10GRCJeAs7pBbJGRh2YMWLOZJvx0TUyszdpxJKg/QnLkxMOH3/Ki8MzDs+UrldeHB6yWs5Znj+n60756IP7+BFm6Bx91+Zo0SKWVqguAQ9aYa4cPn+H+A7vV4TkiNrm31uHqsdJh8lYIpM8W0ADhsN5PwyY2SwbQI5yLcs/qOTGizmMhFruf2iyce/DfEJUMPE4rdAuATNCJSwWRxSh4533An/7DwuePjGarR2SGj4IFm098zePDDbafsi8vKdPiTigm7rOkDDl51885Scff8FvuHeo6mP6PuGLKZVzhMIhrqBXww10rHVLxAkpKSszliZ0riQ5x1k95UlfMPc14oTKO0rz7M8abm8FVt2cHocShsbO5rXKDHbbiLLZfE9hg9SSL9hFGSYHDs65nI3ZKI/+7UXrvslejfi5eAbWvIUNZNPmsTcTyl6v3TiC12JjaeibSTDj5u+9v/S3Qjw9aVC/hOPjY3b2CmKW2cQ5R1EK0gfiECHrwBaKBqYpMzCdz1icpMS+h8VXPP785/z1f/kzvvzqOY+e9qgETubnbG9vM2k84iJvvPkBZTUh9kqrK4pC8gAY60jpjKjneA2YTnA0ZPmiBY6O4AosbNGuWoQscyEu0NMhlHmAuSScZkkMSZ5SJplM5D2ErHMjmiP9BLnhiuaSjWXGdEbkpCFjSASf2a95rEFCnUfdMScv3mI6PWZ2EJluOaqjln//B3P++R+Nzx6vKKoJ58tzYgr0vZHM0aUBmeRrkipRwfsCHwJdt0IKR+oC050H/F9/8iP+8kd/x//yP/8Htre3uXsyZ7a9w/6tA8q6Ikx2soMWXcsnF7EgauDchFMJnBcVS1dgB4HF+RnvLQrumvJmOUiHSM/vfviA6Wdf83fPImdti5cyl8bSWJPPm6azy5u3Dmq0o3TIeKw4P8ByB4FEl+dDx2gDdNQNA+x/8WrfbO5fN83saqkIeCkgGl8jpsvnr4//Fu9zY7+63TiC12Gi65h8nDK2mQ2MEf34/fq0YaH3XnEScFrRFnB0ds7t3V1iWuaoOPUZ7ocSfELVMorHMu/AxHAkLEWkdPha2JkZsYWKFc+++gnzM2PZFiAF25MGSUrbKmUl+JCXhXeGs4RYByr0eoakFUUyTHpwRup2CO4c5z/G2Yq6aAl2QGs52hc6zFq0y+xYV0Wcz2MnTQNQ0PctITh6cyQJuMLRrlaAz9fHQZ/ypm8aQS1fX3NAn/sR6lEnFAhijiIlzO8R7BhdeTof8E4pqsS9O8r56RmfPzompYplOkGtIUpNtIQEAQsEH2jblqrKLOGofYaDSkFvPZqMqp5xdn7Of/qTv+K999/mjyYzUtsRJOCKknv3p5gvwCCUnoTRe7LDsYo2GaeWWPiAcxX9rOfnZz1NMeW8XFC7mqJ07GwF3n5jn58dPqPXNAz4KREX8QK9aR43OlDa3ZAtqAy4fMkrUowshzE0VWLfUQdPbHtciljss6yG80OQIljSlxq9m87mm3pfm7X+TTVSGT7rkITlY8gZ7quRTqOzuyxNcWP/ertxBK/BRtTG+P3m1+vS3qs/SwGWFJWCRdfy2VeHVM5499Y0Q0AFJAhmDo1gzhGCEWPCWcKRp4r5yvPWuw/Znjpk/hmhFJrCs1UXdCulZKDzi0ecZ7la8u6HH9HMtjCUPi4xehx91v6Pc9A+j430CfFKKQWkgNkC45hIS7Q5pg2xz70ECZ6iaHEeLJVgDnWGpwdJmBUYOSNwRUEqa7TKzVlTfQmhYggpJkxSbjobpJA3t+QSXpREB6L4lNFMK2q2dmomW4EHDxu2drfp2OOrJyWnH7csVnOS84SiXs8/6LoW8Rnx0/VdbiQrSMgOPDnBSUUIyovjlsf/9e94/Ogp77z7Jh98OKeeTDlfdJRNQ1mWbO3tU5Q1BEeMjqU6VhKI4onm6C2xouD/O+o5Xh3j35xwu++YNgU7VU25X/K9ez2fPnrO46WSjCx8Z4aJG9BZkn8m5c1yZCELbKrMarrQKzLLYznbPpFsQ/EUcnAxxDRmth6M5K70Da5u1pvr/jLT+eVjxn7aVSdw3TNzY6/HbhzBr8k2F/VVCYCLBwHY0JQxH1BNtCnSJU9MRgggkgXYbOR+Wsr/ScK7PFlsZzqlaRqaqsRJnyGNkpnGlRcKb5BSZvuq4bzHFSW3bt1mHF+pqc8R5VCHR3vQDrUetYQbWMiiBaqR4Fvwp5h54Dg3J9PdnAFZP0hbZxKdEwHryXPXIqp+45rAWF5TTYBbE4sGhlPelIw1CqZPsO49OPK83qhIKDCr0VVDms5xPktxFEXP+9/bZ3t/h2W/w+dPD3n8ZAFtj68qhAJNcZjelqU5gi/piGsopQz1eqWkb3uUgqcvzpi3n+LLKQ8ePKCqT6kWS3xZYDiqZoqflbRq9FLQuwIVRzLDnNDhedonWCS+mieqIhGKkkoVb8adnZrzU8+zVSRZQiSgQ8aZZ0xkBJC3/JnFycWaW5fmNfdaNjZp7wc2ccYg58MMRjEn0xGSdHmM5XWBzrfVAlpv72uSzWYj+SKYutEWev124whek/1iDPX1tVMAZz0msmalLnrjbN6x2vH4YGARl5YUBs4JKfVYyJtT1Uwoy5Ld7a0sQOcVSRFSZLlcEvuWae1ZVQmxFdo7rA/0KfLeR+/xzjtvM6lKPEXW+3GGSsyoUWtHui86lJ9ICes8L56c0FTn7N1fUHhlUn9F8gu67g4iDaQCU8WJG6jXGfcvVmT2sLkswyDQWSSgdEmxpFn2AljLTg+sWYH1ueIdWijOPOazc0oolIq4hiSO+WGHCwvqSWKy1xDqht29XerZ+/zbzvHxp8c8eXHEP3/8CYvFAifNAL2d0sWeViNDQ4RQNIhLuD6ONEBS7DhaJHoSf/3ffsLf/M0/8c7777Gzs8XO7ja3759Q1A2y+wZ92OPR7i2OvScExwxoySS/RVnxZer580crTrfhTW98UHsqibx5MKF0+3x1+jXHq5bOF4CQ1jOuBwKg5GawG+YnyBqAS57pjMMs4n0BFimKgsWyvXDEytBMtrXu0Ddls1ej/l8mil8T7sY33jj/cuZwY6/LbhzBr9Guq32OTb7xZxi1g4ROWBOE2phImkdVivWQlngLBJSeDlxmDhelUVUjo1cQG8TeYkfbtrRdR3BCCA5xCdC15MS9O3dpmiazhMfN1myQQE6Zl2BDJmKKakQ0R83HL1Z0VcfOvhKmQlUtia7GtCWmXMMXKVDryXIaLRozT8GlrEPkLQ+wIUY09Zilob/pgAs46eWGY26OJgNihqGKOvwwCjOlNn8vJf2yAhcpylzqqsv8+9k0QAi89+6b3L57Dx8CT54847PPn9PFMWth0BTK0tjgsjN0Ae8K5t05SsKLsIrKbqhpqpIXh6fM50uOjk6Y90I92yb0M3RSs5gavROCy+TBQMBSYh4c6gpOO3i0WBEWPQ+LjOv3wZhNK7abkkUf6U1z1maZLOgGdVbcOBxp7EfpUM4xMpM6V4rE58l069q/5ExnHbgM/YSrOJ9XlW1e5SA279tLWcPgBHLZ7+K8Gwfw67MbR/AaTFLYaKqNi9nnGcBygZl2qhfiYWw8NOpJqccFR/CwiokoHgIkXeBTSzh7gbQrurSiCJ5m984wUzdROgVJuXTQ1gSgbQ8hrVgsFky2t+ntjIOZ41nfcbI6Y9ErH773NnvTmiI0OMuDWdQZRseor5liR3ARLxnJY9GYnz3n5z/t6ZfP2Nu9w54ZoV5RNUecn/6E1D4ECtQtEBq8GS7UwDJrHAXJDk+N1PakZYssDTRi5iBFvAmijl7zJLFkPgvo2XjNjGSezjqiRAyXNZtWJdAjTlGdolZT+1P8RIh+jtGys31AaY7pomSvSxzs/jarNnE6jzx9+ox//umnPD08YXE+p6pnRIw8KEcJQ2O9bBr6vkNTT99GThfLTLazChOjV2Xxsyf0PKP5jT1mD26zUlCXmd4A4nrUGVWMJHF0vuax85x+fcZ7zQ7RG40o20XJg72aVXtC2ym9ebx51PWgCW8uI6xkZDYPZR3JpbP8XkYQRyHQNJNh1vXoDBJJshqtyuXG8NXxk1czBR04AeNxTtwwq2HjHC6aviKyJhZabkRsPDdXy6iDQ7lpGXznduMIXoON8wbgIpIaF724y022V4l3jdFRHsmYjymcx4ngNLE6O8UtzvEuEuqaUiLmAmaJlHq85SHvRgcWSTE7gb7v12ilZlJTnHWkZY+Io6pLqqpYw1ktDeUXlyUGTK48kGQkT98Z7RJOXnR0c1hNjbKKWOoQWQErYt/iveRyiuUMxBEwVUR7EJ+LAprQ2A9wVUZRzZcslxMuNo08nyDr14sXUjQ05WZpEhmw/A4zWM4dhqP3Ri8R1TyesSzrDNn1ObMKpdI0DdV0xvMXJzw/POazz79iuezWsF/FSJa5Hd4HTCOqCe0jfd8jviBGBSIuw13yWtCsEBvMKNzFPU4iqOVIXHB0atS+5Nl5i98q8KIUIuxMG7ZnLU+e94gUJLOXiF9ml5U8zTbX4wUMM/MHZEMPK+O9xu9fkn3g5UxgtKvqsc5lxvZ1loltXNxHNpkFL9tNhvD67MYRvAa7aP9upNS5U4rl3tvwu+tTYRMyByApSYwYhN6ydHKBoxChO3pGePI1fnVOubOdMeWzHeRWRXKG9DHPM/BL1Oa0J4ecPD/k9PgMVJjUFXcOMgb/5//0iA++/2/Y39lm2kyyGJtAkhyhOVPEBHURj+EdpJjho7FbcfrinMVZyVdfwN//9Qkf/WbFW7MOT8lWU7G0gvl8SlFsE4lgLcnnUo8fpVbNY70RVy3tckm/WCEpgBrJBEUu5CRs3ERyH0VVc/8TQ31uQfQRKt+Q6HE4nARsELtrn0IoevoioWGOmx3TuS28n+FCyaQqqEyo+8ROMmazGW8/zFpBL16cYAj/+M8/5vnRIV88/jqPbIjgqoI6ePpuRdv2OBdwHpzPKqddTCSE/aqgqoTSK+Ij5hV1HjNZN+DztK5hdrFv+PvDcw6T44fbji2LvHV7j0k95fD8M046ZeHqYQaGWwsernWtBlMuJktJwbUAACAASURBVHslM0onxK5DpKHtulwOZGyCj9mWXNqcr4vQN79e9dq5l/Py9m5m6AipHm7qpYb2Ncdv2g2S6Lu1G0fwGuxVUf76d5cw2C/PXk1mgyhYNjWh0/zgODxFUVB5j4s9/ZND0qKj2NnLUsy7HXhPWG+aGVEUlx0xKm2bo28XhCKs2JpWeJd44+FdqrogFD5vzjoy1TKUw9ANBI3klJ9E33as5guWy46+L/j00zPuPfBYKpEAZdmh/TlL6XJR2nLEn3WBehQlhKHMExXrOiTmvoXoMGNhrTkkiI3OM29SpkOtGwYV1gGj7hytJpwkHIqXDP1MOFLnsFUilUCxoiznWNUgkiNykTwQZTqt6WPCh5q2S8SoyP42yTw/+MH3OT49YbKzxZNnz/jyyy/p25au7/DiEe+IClETftDYd32HFAXTSUldeSgNC0YrWXfJqWXpDBkiaXKPKKWe1hc8X7Wk3QltSgTvmE1q9qYTFu2c4HNJ8VuvUYPcEda1EqtSXvr7rxJ/X4WRXrdhj8esNZ1kQ3H2FVH/DZT09dqNI3hNtvlAXIbuDVmBCNdJ+tqACc8OImvORzO6PoIFxBcZu15XiDj6F0fofEXY2cWrkPYPQBQXpigB7x1OO1aLllUbWS17YgLv8oyCZhLY2a65fWsHN8AQ3YAZlyFqkw3o4JjAixOcOZaLlraNzJc9iYrDFz0vnndo10DwhKLFl0u8W2GpJSteKqmP4AfR5pDln4mK9jELzl2jbyOWN4/NxuOoPOE0Nzh1xNJrdl4Bw4bRi8lyyWsVHTH5IfUyiC2uTBiZPyBJcE4GzSOjahp8ofRdpCxLTk8W3NrfZTKZUE2nvPHGCdvb2zx//pxPP/mELnZEC+SBnUbUhCTBFyVV8NQhUdNj2pG0pB82Qk1Z8G490wDFiRA1kkLgrO84SQKUNJZLUzuzmufnLedphJBuNGQNNlVDB+Bt/t55shw59CmXusZLnmXU3fr6mr4cjb9KDO4qU/ibyjkqFyVT0MHJX7/R/6Km9I396+zGEbwG81fWaC6D5oK39354QBIW7VLPYIygskInZIhloI/KYtXSRyOFQAwFW3fv4o6OqM7mtE+f0x8dku7eQm1JuHuAvtUjYQa+IHbHHD57xKOvn3N8tiAtO6rS0UzzkPY/+h9+lwf3byMOLEW6TgjeD9o7mpOCsYIrHjXDeVAVTo5OOXyWeHG4oo0lVdfwNz9a8MPfnbFtQthe4YMQqo5+sYQUBqz6sC2FYUi9CHqutIuebjWKzmUITJ6vMmQiGbS6dgbjhqPkENbUDyUtIRPVBDfckBTzrIWVGlE97TKiHXRNIrhTSr+Pisc0I3ncIBJHzHihqi4xM+q6pk+GIuy3B7Rdx9vvf8ByueTFi2ccHR3xF//vX3J8fExPzCM1veBE0W5F/+QrZNWTaGB7j3TrTXw9pXNZtnvcd9Xs/2fvzZ4sSa4zv99x99jukltlVXX1RgADkgAIDAlyRtKM6U1mMs7IZCb9c5p3/huSSRRNZmMjzVDUcEg2iUaj0V3V1bXmcvMuEb4cPbjHvTezshoA2YWnPG3ZlZk37pIRHn6273wfSTps1XAZB7pqwl8/W/Kd0xPuh0sIgYNJx/1j4fWLZXbY5nqZxo6UDOxq/yrgrIMUcM4yDEPmp5IxU8jN+ygjhHRHe31bRL4PiU68GdyMz7u1vGPylDlICX6+eUu6cwDvxu4cwTuxXVSmWW2WZIvKU8o/i44llzcXt0uBJEq05Mava1n0GapoQsSoQWdzzKN76KzBLS5xXz9FVgvMvTmSetzhIc0cgu0Yhp5wdcZqseLqfEnXNVyFDSf1lFYUmU+YN5bKVljXIAZEExK1YIVySSh5T901uY6cPKjn/GzNyi8hNDRiiX1LbBPh6oiL+CXvTX4Ha6a46hlIy4CgcYKzLTblLKCy+ZyFPhA2PUSwWEIRKh43CFGImpXVzDgQlTRDWkt9KPcRDKhgTa7Jx5idRTRjNtEQBfphlTWU04YmzjGpJ4kFJiTN+sQiQkgJg2RiPAVcJsOzIsyajtpVqFXawpN0cHhMSJGLiwt+8emneL9GHazTmtorF69eUA2e7vB9PA1re4HrAuHghGAMtmpIPmR9hTTkXo+riCnQ4/ji/ILmuEXTwGW0DGKJ+aIVpIItGhKJsE9MVzZsMRGNPZoik9mMwUc0bbaDaWLyurQKVhPJmDcygP3ByH0zMX8EMRmlpOM5K2gfZdckzjDiPBciBd4a9zKC/deXW353Z9+e3TmC35apL99YcnkkIzdi2mMQ3S5yyWIsSdEEvQcSPF/2VDOX4XbdnOr0Ae3vf8QybODvX2KvVoS/+Euqz54Qh0D67gdIN6U/v+DF83Oe//IlwyaiPoIzrGuBScvRwSGz2QyRHKjHGPONDBhsGUDK/DVxCKhGqkpYLTecny159vyKISjOGKzrWK82/MWf/4x/9d8+JKzXRDvQuYaNWTAgGKZoVIKus7Ms7YhhEwmDZxhyj0BtFt3JEo2BPFCWSxUpvYlN3/HZpNzs3gtOk+wGowKGgANpSKqshsBGVsR6wFY11hbUjMkc/zHmEo2I4IxFUsRZl8toRmjqlqMuZ25VNxBiZDJt8d7zRz/5IYuLM7766jGf/O3fEyz87BefE1U5fHFF9+BD9L3fJdUdh9/5PtJ1VLMTxFb0JIJASIn1IDiEGISqVwaNuGS4uhjwQRDX4nUoSKu03Tn30T/7Wg5Wcq9JRPDe45zLtBMI49RxKCgxeUuUPzqEa4GMkW0GvL02On6W8VrkklDUlIEIMj6a3hrx3zWL363dOYJ3Yju0hmBR3mwIA3n46S3NNC3woiylWIEkLq4G7rWGpnHgakw3IxxOkfkUi+Sm5NlFVgf7/Ati5dFuRjy7wp8tWa96xFT0IePHvQ+YutnWaLe88Ea3Pbvc3C5OwWS4J5o372EVWK8GNutIiAaRSKLCyAFPvnrNl19sePShReseZwPGLhCtidEjmuE91lossmtYjtxCKcNfM0VmhYpu3zunWPksG8loom1mpQWdNRKalb8sl43GXqQBdRkvr5E4BIxL1Bpx24PyEyIFpVQa5GgmBBQB0YxakkLl4JxjMnGEmJljY4ysq8ThvOP+6TEvn7/i7OwC42rS4Fk8/5Ll5YIu1nRH9wmHJ5hhxkCFbTqiq/MwV1R6H1inhE+KVWUTAw4lbJQUlCHmzzne0Gakg9jbqLdrrfw7woRTShhbZTDAuP5kt0btN2zC39QcHh1C1kLOjf/xdQUwe9xHpSOSP/Vt98Qbv7mzb9PuHME7sF2klO85weLGG2tvg1UdBepHCF45ZnQimgCLj0JI8OXXZ8zqI7p6gm0maJPoHz2iOdvQ//XPGOIVXb+if9nD//UfkZ8fUR0e0vbK+1+f8eVmxdq1nHWGTi3VWqkl0a/WrFdXGBvAlGzAm8Lzk5vFqhlRk+/mxHKz4fX5ktcXA89fLhj8jMpFNoMAFWoO+fP/45zf/X7Dwb1IPV/QTQdCEvrLA1KyOAeVqXAYfIykwaMhT8kmVbSgbRJZTwEgaYWOfYO9cx0LO+m4heTZgvz9FsU1snMmwWJwCAMDK+/x/QrfL2iBme2opEZCKlF/jpRFM8unBE/ldMeAafPQlIjB2szdnDMs4cHxlBQHfL/mf/qf/wcef/WU//0v/gPBeySA2Zzx6pP/ALbm8PVz6qNjZu//M2RyzDA9yvDTukHaKYrlXDOyJngh+UTlDolxQ+USs+RoNFChGA2IEeKNRm4u/ViISlVVRaQ+92hiGXYUY96K3tm329Bx2+9u/G6/kT3+zl4buhybzG++/je99519O3bnCH5LNk7AZstcO3ozrS6WF/leSq+KQbnoPZebFetYoWIIRvDdBGkm2K4jhQHtNzQY+osVNilyGXDieLT2/C41X/fKVaVEEwlJIAbckOkntugNud7AHu9fnxKVNSCWzXrgarnm7HLFcu0x0hCipzGGFAOemrCB5VVgflyh6nGNYtcbIGIlYqSUIAZP8D6jhfY2hfH9tTSqx+g1B/6y99gOSXR9e9ijTBZBt89VSJTp6Aw8DRLxySPRMyFzKTkZqSVk958IiUwAR4F5CmUeQiyKQYxBTAYF1CIYcdDW+OR59OEj/vinP+HLL5/w809/iU1CU2dhnvDiS+LmHDEVdnIF9wK9a3CNzzrYrgab6aGTVATRgjQCDYk+ZfSUJI8bwQY3ziV7Z1dEMp/U+LgdH9xRn5hrz7i5RnfffyO3VskExvhfbxyTfxiHa27XKL6zd2t3juBdmDXEojY23iSjvvA1cjnY3nDZxuPD9lhDZqVMOJZ94OvzxEE78LCxiGmQww/x7wdm9x4QlmsqB2kT6Azockl6vgFr+WDaco8pn9WR55sLIi2bjRAZ2ATPveEE4zyVE4bg8+YnFmKeyM2bT6D3ijPCi9drXp5tePryitcLS9tAHx1qhaqq8ZuGrrvHL5/0nDyc0tmeJAP19Bn96pjgFaNziAMSDeoDISRikLLJy3ZSNlNJ5CaxZcjiO5rnK3yI+XNqVgUWCdvyj6SwHa4aYadRNW/MRkkhUVeOxhiWMrCKSzZB0U3DtJ4y5SjTfmvK/EVickPTCNGUpqhozgJKKUnJegiaskhO27Q0leIkMJk+Yr3acDib8uMf/x6//OVTzs6v+Ou/+YSLi3MIERY14fwcqhnV6SN0fkw9P4aTD9GmRe49QGyda/q1wQ8RjMPXSqo7/NBTB08cFtg0UKVQSkB5ulqT5hkNF+mHgRAV42qGIWBNhiuPa3KbXUkEtdvavvmGYDyS4cdyo8FMUoyMlBXbVK2serYO4Hp5aY9wbj84IXFXK/p27c4RvCP7pkGa24592/DNvgVN+BDwMRDVEjVhuw4mM2Q6ga4lLX2mlu4zK2amTFBwkaaFaggcHzQsrMUr6JBQlwXqq6rCVYaQJKOESvlqrLbnHqSACt5H1mvP5WKVHcU2+sxTtFYagu9ZLhKbtXKYMtWxNYqYATEhNwrJZZ3xKyVDSmxlO8cSW474M8JEgxKSklS2mHtXePdzBhNLTXrXJ0AyaZwIpCjXotLKGZpaGWxEJbDya2wyTLpjfIw56i9NUEwZprtRJ99mJuW/Ec6aJ5+VZA21q6ETpoOnqhriR8LRSc8QE5eXl/ziF08Y4sCwfA22xxtls7iknl0yNRPsbEaqG5JtsIcuN7BHaoqUUCskl2kvUrAYqcmSdjnjEBEk5SEyK6ZkSJlEz3zjxmoyBUZxpmOpZ39NX1/bhR59PD+58J+nlWFLpyG/xma+z0+0/7u7bOHbtTtH8E5M92qdY5p9uwTfmAVcv7FGFFEulWS2SMVHw8UqcLZKDGqxJKSdEw9PCO+9j7saCE8+wXiQZYSUMEScFWwvDF3PvFL+4N4P+MoKP1+v8JsenSaqtmZy0FC1joASQyKkzE+vpSwTY5ZcXPU9j5++5ovHL3h96ZlODxnE5+al7JVREnz5+IwHj5acftBiGKhaqJtXEBMSOjRUrFYRHxLeKykaUrTFMb55Zg2ORERKmQc1iOS/EwXVkBlX0yiiknmF8mM5KwsplnIbaPBMqylaeb62C1amZ1gsmYSOOFXaquNwdpRpIozD20SF25b1ct4iWCkb8FiOKv/2RQvZJcXVNXVX8d6kZRgG2mnL4CPHp8f4IfLjn5zz8uw1jz9/yuXlksdP/46qmtBLSzp7jp0eoCePcNND4un7mMkBdnaCNA3atkQb6Z0lhNxITt5n2U7JspNGsxNwVmiqltW6z+U4kwfM9rmGRsuDj9c34nxtrjuAcQ3HUathFOhT3ZtCyE5gd2u8rSz65s83D73rEXy7ducI3oG9SfZ124IvpR+9LrqXG8yydQhxRByJEEtTdeMjQS2KYqVC2wlpdoCbH4JxiMT8Oimn0aKCDoHYQCc1crFgqQO+6RAqEmCcxVQO4yy2EowZUA25m1E2VRBShL73LFc9i+UGTI2KQ0lZPyFZrIUhbGibilfngafPF/hY40zIlA/VErEV2vekCDHaEtnfvLlv079VihwzVSqCNCUiF5M3KCE3tXfMFAlNBZJbKJa1nCCjIDFSxcz7EyRwGWC9WmFWhuODYzrbUjmlbvNmr2aUVKRkKZr7LeT+QR4EK29tzJY8bwiJqmRFzjkOD+cMIaJYNj6QTMXk6JDDg1MuXl9gPvuUxdklS7/BXz6F9SUaAjK9ACyxWzIsB+x0jr1/gqmrPGxnLbFpERFssGTh1IQlZ0kignGjs7VlE79tsx8zPM0yDCL5XJK2wUle5rfPFNy2/vdvhdue8bZo/9qxd8nAt253juAd2H6ZZ0vHe4N1dLQxPro5pCNlGCffcMUZuJpN7HlxvuZqyLKUNQaZz1idHnG0WeHuzRguIm2sSCFup5zVKTEpxzjevxh4Fjd84gaCVDQHc8RM6CaHGDvJjJrDBetV2Kb0UQUn0PcDr8/Oef7ijC++ekY0NatVom0NYDCaGDDUYhBaXl80fP1MGPyU2UHFYBa08zUpWlaXK0IP3le5nFWW481NxZD2zo0Hk/LnSkqIISNjxOVNLof+BW6qqMTsyATSNloVEIMVpVXL5mqNiYmD+5ZgPOeTwPPNK7747Bmdm/DD+5ccz06YTCYcnBzT1jVt25Yp8XxdY8kAogJiS5kqZh3mBIGECwFVS+OAUkCyAicnJ4hYDjc9fUxcnfREH/j4Bx8Xpzvw1ZMXLC4u+Ycvf87iacQ8/QdoD2hOv4u59xAJ7xMP3kOnhwQxrJuKxhmsgkkB43tiWAGRxrXEBJ6ErYrzKKWfcS3uW4Y5lx6XxExBgidToNxY19t6z7iuY+7JbG+ON3sE+7Y/fzDu+L8OXcWd/dPszhG8A8vTxONiH/9987gRvr9fZ/1GyJzNGsW9D/ghEk1EraA4QufQaYM9mBD8Bl0FKFh3EYHKUrmE8Yq96pl1DhOVqjIoDuMqrKm2Ob21WTg+Cbn4Ibl56L1nvV6zWC1ZLld5kMl7qtpiRPGap301RlQNXdWSxBK8RbUBc4V1YEyeGA6aZSqTCjfrzbsNYzyVqZQvEsaM0paZHXUnqFKEc8aBs/3zZ3ZNUGMoKCAlhUjsEzUVrTO0sxrX9zy7egn9aw50ztAnZusJ0lREXyGS4ZejHoGWzU6LE0oppwFGs0OPCWLMehQpGow1OOeIJIY8Qs2ktlSmobI1IURsa1hHYdYHJt2UYbWmnR9yuQ48efaE86tnnHllEnqm85rBzjBNR7QVXi0OiFI26zHyN+P7xlJWE2K6HoTcigDaC1QEKaXOcQ7YvHGtsr2pXTD+/Ks29THb+FXopDv7duzOEbwDE+MYeV6SXL8Rbt4MUXJkla1swnsdTqNKMppRLtEStOKyTzw+63H3LBXCECPV7CFXc3CPHtL2A2mzofKKBkO0grGRbrBsGs9he8B8SAyNskqBD+ct9+7dw0ehdo4hXCGiqElZLi1mzPzi6oqL5RWvLy/49PNfcrXpaeoaqWDZB0RhWmWSvAkzNmGBSIVrv8fACYt+Q9cIYld0nefCvGRIhwS9R1RblMz26eZGJEne2JMBSQkrgsTcMFaT4Z1oJGLK83P2ogbGsWWrYDTPGiQriOamekJpAR8TEhIn85bFJCDzA14uLvnqb5/zv/6f/xvH7Zz79075kz/6r6hcw4OHp3Rdw/zwHnXd4iqfN8lRZEZyhhRTQFSxYtj0Nv9JbcRExaU8f2CKc1MEq4m2dsTaUrcnaHJETWxO7uFD5MGHv4OPgdeXPyCEyFfPF5wNiRerVwy9kOoJTOb0lSGJZbAVtQhVAmMaTEwciXK13iDW4Ek46/LGu61CyjUnap1B0jhtluGwaS+qL73gfGzKZabcu7d50jjldT/eCw7Z0pbAmDXvSlFbh/OW8qrRby5F3dlvbneO4Ldg3xjp65sloxHtvZXqLdFuKJw6BrhcDlx1FfM2EhBs2xAnHXE6p5kd4i8vMJJF6VUgGSWEnFU4zboGqp4YI910TjeZ5ncd0xQokL7d504psVqt6HvParmGUQkrgLOZN8YnxSl4KxitiXZC290n6RGZ3EFBPc5ZIE/fejWkqITSAHaaI/U8e7HFmoDu6AuEguPP8f8WnptKsTtHrIn9PsOYqUnKr5PJ9HKRxkSFdY+ZQjsVeqccvT9ncb7k2f/9nNXXV1ydXdLVM44OT3CVYTKZ0HtlMpkxPzgEa6iNzZ9lzBDGfgWZKiOmQvWQU5K8waWMydSCdBKjOHLWoNZSUWGrhpiUqu3yNWtrBu+ZtlPO1p52SEyDcKGBdYx4MirMhXzWJxiSVNQVDDrkzzNutmVaO46T5TfWbi4FXUf5XAtu9lZJ/v2NjMJIaezn38dy7fa2+Tcb1FzPIPYtya1VpTv7J9idI3gHJmoKHC8j4Xdyf/km2fUBYLdR7eGkx4hsTMeLoApJiGoYTMPj84FKhOlJ2fzcnDAdaI7vUS0D8eUzJEWa8ZVFCF2FcZZ+UC5DZOVgFSIf/s53Ob73EAqUM8UBLZrBWqKvGBPr9Yrz83Nevz7natnTdBPWw4A1VeEzE4KaLIcoA5Jg3h3TnXzAOhwia8GaBiOOdX9Bby2DVRY+ZabPlPUGYtFELpMBW0imIaFlN/KaSCWadibrByTIzismEoGsc7zjr1ENpUm83bZGwCu1gc3lFcZ5ZkdzvElMHxgeyRHPf3bI+hcbwlL4u7/7G6qq4ZNPPuHk5ITf++GPmM1mHJ+cYOua+cERVdXQTWaZPqOuKWTb+W8LERsUaxRT5fUhmZUty4MSSQEom6VKnkGpnMPazA8EcHBwQEyJMERWveejKPSx4b+sLU/DwGdeWSbHoBVTgWPXgA8cV5bKa5bzTLmNbMpaS+PonIy79NhgMju+oFJaSzdgndvOgOyul+x3oCWznibdk6jcUppkSK4xhuDjGw5gRx0yPu/Ovm27cwTv0kq0ZEp0//b65ugEboQ5anYwvPFRsSCGpY9cbBKX61yLrrUmVh1+OmOYr5C6Jg09xFiaqOBFMUbYJFiRlYhDSrTTLmcKrs6fJSkxFpI8SWgRrl+v1wzDwMXlJWAy4oeMlfEplGEjgyZDNAlNSjs7xNQ1IU3oB8PKHmPMmsVKufKWVQQfAiIVNaa8bnYCYnQr+2l0VNjKJyONG5c4DGVjhVJCKg3jpIxT3OPfwn78Om4qAtHkrECGiBsibWtpjWM4aGnea1i/6gl9onMtYQis12tevnwN//APHB4e8v5mQ9u2aBKapiMlcM5Ra8I5gzGOylpELDHuBgZzRJ1KM7Zsdqqksc9UeKZIMWdJ2OzIxOJqi6ECcYSUmATLA02kIfLUG64SLHBk7lalSkqrhiqVngECmrZIHi2MofuRvxnLOOWs3YzGb5ZvRmW1bRlU3yzz7AKh3SvvBz632bVeD2/cKXf2T7Q7R/BbsOtR6E17U8NYkpJK+cKUO1C18L+YDAdcBzhfB15PIhWJYypS3dFPp2xmHZNJB8M6q37BVm84Caw1stBIMJkOYT6f5+awtaSgGGMLlUPOCEZCuNERXF5eYUwWkrfOoZIZS5NRLLkO3vtC0zw7yUik1BJDzXIFatYsNpHzzYbeWxIJkxI2xu3GA7nejCnxZa4tbL/PRH45mgVBTO61GJvQOIr/jNKg46YEkLbRbObbJmPdJWU22CGgq566amlMTWU984/mDK8im4slfumpbEVdt4Dw7OvnXF1dEWPMOgU+0HVTDo5OcXXFzE9pmgrnamw7BycMJCpVkrNlDqFs/Fo2ZzIlc1LQGEEMyRSuHpOfYZJHXCa/a5saQQje8CDlM/jZynOZDGuXZUVbcRwYRxBDHw2NqUkyYEaMrby5CY+N4ZF4b3Sa+0ftF4JMEQDaz3p1LL+N34zH3hLZ7zi69NrvAGJh2d6S6t2lBd+q3TmCd2B2hClKuc11xLS/2QC7OVIPBYthMuxPVXJzVJTBap4NSIlkHGe98PhCOeo6umbBtHKY01Nemcgf/vI+bBIpvKLrAwsLUTwzN+XxKvK0Ngzq6Q46Th/cp26nhKTEOKAx5Dq6AU0BNQYf1rw8e8nTp8/4+S8eMyTNQ1w+UbuCLDKO1ZBF2pVAv1lx+PBDghyyDidE47jcTFgEz2poWIZLYtpQicGkgKjHpcJRb3Ica1MRnTcRVApscewTRJzL59mrB3U5I8kyB+WM+i2Ndo5M82xGLotnGRU1YEURY7FBqc/WaAxM7lu0thw8bDA/nfOqCrz+8wXOGcRMsLbCdZYY4NmXLwjJ8zf/5RNcXfGd732P+XzO6ekp3XRCNWk5nMyYTTseHB7hbcJITV1ZKiNZppJAEoMVmyeFVcnDfCMKzeQPOyqabUat44gVQ101fDBJzGzi2UqocTzzA752XCAcBmHddfRrz0xqZk6zql0KCKk4zvI+eSUXjYJxZqJoHt+MabYlzKLPrEBRgzPGgg5ZP3kLpS5Iqr0SXf6/LSXAvdJQmdMg5cG9qAlrzJaY8c6+HbtzBO/AdH99K7cu2W+CweWbap9iIZWmY+4fmHxXEpLSD8LgIFQWNRXiGupmRphMqJqKtExEC5VpSNoTknLlPStniDFyMJvTNM1ORJ43m9sxRkLweO9ZrldsNitSKrj55DMk0QgSI8bmWm/SnFXMZgc0kylJhZAU7wUfa2KckNJAzOBVkkTSSOs8lphQYmkIm+3w0htncnvOcrX/+izG9vdjRqGUOYLxXHO9Hg6ZdXQIaMiblm0sbtJQzzuiu6Q2o3xnIg6J3kAUR0qJvu/ZbDb84uc/p65rPv7oO8xPjpgfzuAo4tcb0npDN6mo3BGaLKaucIUSGijZWKHWYOxv7Ggs9v/y/WatGMVZS22FaQUTFSarxKbAa4Op2CSorGWIIcNGNe2yqrdwPmx5h8ZhvVvWyO7YnKnt//vrlnH29bulQI92FBMpZ3A6fp5fe1kNpgAAIABJREFUX5/5zn613TmCd2C52ZsbZblfdjsMDvY3q91jpoRd4xCaFvgdxuQBMzLvkEblbJO54w+bBiMVdXuEwfLy9JSHyzVcPuZKA9OFRact62T4Zew5Ny1V0/DP//mPmc/niGRqguAjQ+9JPoviQEbbxOQRUVarK4bgsW6CWANaMyRPCHnQqG4cGiPrsEGM4/DkAbaaMFAzeBi0YuMfMMTAYKZEd0EIC6wJmKRYTdRB8hyAyR/ASsqDTEZHkS1GQa6R18YYt41YlRw4R42l7p1FT2L05TyOTnW8XmUTKvQHdR9RIvOZIo1FXSBMA/UHLdVHNcPjnvVmSWVrXKpyBlLla9c0Xb6e0TKsI599+otclnOW9+6fcnR4yPsf3KdpKhaXx0zalgenR9SNY9LNsLZizBwtsqXSjjFnBcbmWzaSr0/SMqwokOJAbWpmteH9NoEGXtYNzzSxSBAnDV8v15ykhsEaKu3pVGnQTFei5lpGsPULKRWupR2iTErz6vrMh2BKfya/hG5/f3NYEigOqCC8ysXQcX/fspBm5+dMwmJIUthcb5RU7+yfZneO4J3YXof3WhX1Tbs5NXmzPiqlMQjXH1cVkhh6TSyjsolCYwVvDNY5NrND+vkZM9sQhgzJ3ERlo5FBhB44OJxxev9kW74i7aiex6gUCtWySG4cax4ESzFmtE1lCzldRI1h6ANilGEIPHx4n7qZoMYirkVjImgi0pBwJDslMKC2xyShtoAKaSjoqpRKLbmUct5worlRjowDTiW8l4QWKgSlZAAUGoW0k6zZp0bOz7EYlEoVjYrbeBqjVEXTjDahh4p5ZQhXEbsV0wFr8zlKMWcRSUYqh+ygYlRevHjFxcWCi4tXHB4eUjvDdLKmdjCZtlS2RitFbY0IxCTI6OB2qcs2C1AyWdwI8bSSGT6xcOBgWQVmNrKIng0GSS3eJ4LWJBMYZJwAt6WYv1ur+yWg29hGxzLS9aRgrymv2fnCzrG8aWn32L5qzS0m2+wor4dvOvbOfnO7cwTvwLYDOQr7pYvbsoGku3xBGZvFeXtKY+11v7lJQWeY3FjcSEfygRerSFRLV7e0NWxO7xP6DT/47JS4fE4wkRSFXiPtfEpTKX/8L3/Kd//ZR5mmOAkqiRAKxBIHeDIXTcQYUFFs7QjBQxWopMmbUBkcQoRkciO3rlt++tM/wdUTxDmWg5CSELTBJwgpUxsELL6zaFii6YI2pVxqihE3EqFZA8SiWDaWDHZfEEsEaVCTZwwMKcMw95qc4/PSniOQ7b9CJDONOhU0KrPlAH7gvZnB1HA+g+E0kV5Af3HONE6Y2CnO1dQKRizGVXmDNFnKMiS2NfZEngp//uKCr5++5rOffcbR4Yx/8S9+xNHxAR88XDOdzulmR1RNk53AjbU1srKm7Z6d11kIIb+PyVoP8woGVT42Z0hMOG14vbRcaWJjhcNkOEiGKlkaIipKpbn0MhZjxoasFN0IJG2FbkZBpf0SkaqSwhj97zQiRmjxde4o3WZ0eXI9X4ywrX4VxNyILEr5dcLW4Q+/4i68s9/E7hzBO7ACC98iJmCH2rltfP9mTfttGcKo6zris1XBuA6NK3xQfDBE5whSoW1HP5vguimDrfASMh0yCesMNkWOjg5p2mr7/pkKuoi/bCkaSmRr2CKJQgjYrHyCLypi1lqSRlxdEYIwn025d/+UrNqV69/WVgTvgJARkKbNzWhbE2OP10Ql2SHdpJt7+yTpbvhtpIzI0pG3IVBGOc6R3bUElgIUNbZ9q4zFxUCdlBqhdgapgdYSZMBrwMcBxJTGc4KU6/FV5XAuD31pGkkILVEViYnKVVwtzjl7/ZKTk46PP/6ISW0JIaGmpgWqWtgbM7+2ZvLaKkNoKdNdW2tRydXzygqtEw4dLBDWwMt1IIiyTIG5CIlMN16KN7cnrpIhusoO358hxWw36fFpea2M60lKtqDcxrx72wDZdrhtvKa6y1DGrNSY3Ly+Swi+XbtzBO/AUpF2HHHZ+7a/6FMqNNPlsS2uvISwI2/7GCRZGR9jW+OO0aPJcBEcqY/MrWVmW2bNEWG+5ov7R9xfLBguL9C2xa0CL+2SUDseffQRB7P7xNJ6SzGSQiT4TNAWxW0jOhGbSdaMkqQneU9QaBvB2hZjIZfZFSHx0z/5Y05PT3HOZTSIWnofCSiqdY7KrSK0rFOLkcSFvGIlPVVdZWGd5HN/JWaufWOEZGI5f5EkKdekAYwlSiRpFqrRoKjLCCstg2WjvkKSguMf69AC2FxWiZBfV4TWR4yFhwHUWSDy8fdPeeaWvHp6hlkrnZkAsCbiJEtgpqAYFzEmFaCMYO1OqtG4Gp8SuJrKGv79v/8r/vL//Rv+6Ce/x/e//31OTi85vncvD6VVDXVd03ZzxDmszZF4zHwbuaFeIuoYI4kBVWEiHWrgdJqIy4HGVbweYAiOV5WwHhJX4qhIHCgo+fzZgv6RBFEANUQtkqViSuZlCXkUrrQC8jAcQCrMt2xXbrrmkHfZcqb6sGWWwRQxH2vMtgmeYaf5/AluT3bzLU7rzv7RducI3rHdNi4/IoHYw1uPx3wTh8ptSCPN5ML0KWCisogOMTCpZujkCD+dEqcz1DicNVgN2MoxmU05mM8QlyeXE5nuIaRIZGwMAoWcbCQWG9lUQxxAoXI1kFlKY0rUIvgQOH3wkG4yw9g8zRxiZjDVgkvPhGcWYxw2VQStWAGNVZLGXSNUcylo1wN485zkUsk4QWxQScgewmV/qGxXTsovl8pmtaONHsnOMgzYJUMX4dgZBgvdxHDy3UOGj9eY53D14oq2jsyMI3lKKc3Q+4EheJyty+fcWwt7f4Ypw2Cbyyv+03/8K54+e8m//tf/Neu+57333sM2Ld63YCwu1JgqZuGfpkFK87TM6O6tj0QlidYYDm1iqISk0BBpxBCjMmhkUMVLFvhBxoj89rV367oULWJFxXmquXGNpFwP2eUNsps83sf9JMnDa/vP1vF41W0pbOskvuE+ubPf3O4cwTuwsX665QraK/OktK9VkHDitpA4U0pJ1yko3vIe23w8k72FqFxp4qUVBgyH9QQ5vEc6fYi76glPPiPZSGctobH84E/+kEnTkeqCUlHBh0TwSgwluts28iCqgLFZ1CUlhjRgEgzeUZNr2a6uWKxXtF3Lyek9bNNgbEdKOSZHIiFkbHyUhKrBqaPjiMsYOUtQWeW47lGbsBuXSdk0u7uAbEtVYlJpmaRtlIokkmZUFXbE3+cIVTUjj/LJK1Ipkp+bCoYe2LKtjhO/qoapD1gDpobnx5bmuObRv/2XHKyPcV/Byycv+dn/9ykiA53LqBajgjWWGHNWEWO5plj6IRPUYWqCD7TTY8LgWa7O+eSTX/D4yRMePnzIH/zoBxye3GM6nXJy+h5VVXFweEJd1zTdFFvVuKopSmV5wSSN2YOS5zOO6ty+qVLgRCKDM/yi7/HWso6wFkuwBid5amC7XkvzeL9Jvd/4lbRzplo4oFIpGV0PbkyeBtc9R7PtA4yLeMwm9kqijA5m9677PupujuDbtTtH8I7tTeKsXAMdcdIk3TsGdrfA2210GAAqATCkvBPQR2XjhZU1GKmRdop0HdpaQvR52vfeMfc/eERlHViDFt6AlDK6RdPY/M3asFFjkVyE4FPmAiKRiMSUiCltvVbvB957/xG2rnLfACHFDHH1Kdebx2jdqqBYrFRIsqw2Hmt7Fk3AiGFiDZKEKuZatpBQUzYoM5Z2CpyRXJuPGvNpRfL81bihb8nrgHJskrHJHHewxSRbPHt2ONlB10mZJOHIWbp6yuqwxtaWR91DHj58ROgNF6/PePXiNdZWVCYgYum6jhzrkp2aydQTIaRckDOAWnzcEBOItQxD4MtfPqZrW47OLjg8PEaTzYRzSaiqhtlBoqoqumnOupxzOaq3AjbXuEShdoYqJVpRZhV0MdJowqswpMRAJBjKPMdu7d3O6bOr2d9E/IzOYLuu8+JkJKG7LYKXa4SLuzLoaNssrTiQ/Xe/myz+du3OEbwDS+NUqJFr6IotiVxpVqa9TAHeLl5zm42Y+eiqEsYaEMfl0BMCHBpLMBUfd/eQ6RVhfkgV1uhV4I//1X9D8+gR02bORRScyepifd8z+Dy8lgNCU7KBnuAjV1dX9H2/LW3FOOBsy6AD7aRjiIGu6/jJH/4h3WRG1XQoLjug2hKTh5SdStBMzywKFksc4PzlGV4umZ4ahrZlZgQRxzhItHeGgZ2eMaJbeGkqJTdVi1hTKJBTaXqOaKFcHspONBWHMXIws70+zivqLFYDLoKJhg+nHb03nD+oMbZhcuHohjn/3cl/zzAEnnz2JY+/eMI//PXfklLCObe9rpXL8w4GIYRA23b4GLFVx8RVrDQQ+g0pZh3ll1+/5vmz19jK8bd/9zOm0xkffvwdum7Kw0enNE3DwdEpddvQdVOapsFMWpyrqKVBjNDYis54VIRHNSSvnAo8SUqvSi9kosAR5UOmfxi35e3wlpRa/9jnKNuyyi5rzIiI3VBYGU3P3E831m55+e2cQUkZiAYo+gj7ffJxPGHk7LorDX27ducI3oEFTTvs/dZ2mOsRny9U1xb1yIFzK9QUtlDTPLOZj7XJFMx6jowHyZrD595ROeWymtJ3h1Rth1s4vjrumVjHYdUxDAlTVUgMeaONFiJEzZTJ1Zgl+IRPEQ2RFJRZd4hfXYEBHwNiPTHW9JuBH/z4xxyfPKSuJ0Q1eECdYzNkYjlvlOAjIlVmCBWAHhMSFxeeF/E109Yxbe4TTIIwkKTLjUsJNKVSkUqEP2YF4yxD0jwPQFXlwaOCMsmYlrDd8Eccy7b2XERadmgYCE1+XiOZ0sBG5WhYsWgCm00NbUXsPN5smOkBE5lijOPk4T1s5Xj65BkvX77MAjaSUVl11WJNTUy5J2OtzdczVTjb4SUSwhrnKlYbTzdpMVhSSFxeXPH5559T1y2bvufg4ICr1cBkMmE2m9FMpthL4ejoCG06um6CEGicoe9X3G8bFn7JfZmyigNrlLWtiDrk3o8tk9kUofltX2O/ZJTXMkWxbMtBVMxrpoIwo4M2uxzXaM6KRniEpt39sQUIjfMXmjO+7WuRk85xCO3ODXy7ducI3oHdbADD21PZ3yTDzSnyddjdPgXBthmZhOVgEDU8q6YcTI94ePCIlV5yMJvRfPg9+mbOKkDwBtSTImz6gI8Z7y/G4GMCUXxIrFYbnr16zdV6ncs0xqApQooMQ4+KJanlRz/6EQ8fPsQYsyUh2/+KI/RRdhlQ7DOr6MXjlzx5/Tnfff8HfPb6Je8dPqDBUmuNCti0I4wzZWBsnEBN5E1DjRb4aSLhs3BNSgVoolsnTOkLXIPqyq6Ml8hCLIX3DgSaBJMAmgK9XbDxAxfBMzGP6OpT2qrmd5oj5P4jPnrwMZeLJU+fPuXp06c8+epLvnr8FLPpmTQzqqqij4G+75l1k3z9qpqGjmHlubxaMJtMiTHSNA3TeQ0ibJYDm3Xg4vzvEJsJA+u65sGj96jrmvfff4+vvnjMyel9UlQ++OADfABcS+uFY1sxUc9BM+XVcoNXT3R6a7NYynTwSAm+W7R26yy3w23jBm3l2oaeHWsZMCvDfGN7wdwW1afx9fJ7KznwGafadM8p3Nm3Z3eO4B3YTdpdeHsE8xs5ghvHfxOWehUtGOUytSzchA/dMeHAYKczvFQZ0knmf4eMJAnJFIhexpiDYjDE0oweQm5yVk2NDGtEc5/AiKHve+qmY354UMoJBgpfTlKKIEsuJYgpM6JmN8kcY4RV4Or5iqFXpDWsU88gNWpH3poygGe04P/Hhnwqm3YqJyih6nM/wpisVZBGHHyeOs5iMbvrtc/Fr2UmYT8rGx15FZRGIpO0wvdLrlYDfQXd/AG11NTVIcYoBwcVrmlxdcW9+6d857sf83d/+/c8efKUF89e5cbvdIatHH3hcXLWMgx5YtyaKs9r2IqQlOATxglVlecyQkqkmLi8vATg6uqK6XTG8nLBbDYhhERdNXSTltV6wFVTeheIOqF1DRWRSkAKxl/HJvA22Nj3CON5/dWly5t0RZk+PF+TcTAtJ2hvl8a0SEFN8JvdIHf2j7Y7R/AO7LaMYItZv3ks5tpxv85rX6uR7r3uyFaJwqU41skwiwc4q3xv9l18eEZdt8QlrG3AVEIUx1CaxD5VWXy9fC4lYUis+4HFuudqsSYkQ123VHaJpgBRSbGnj55q2nF0clz4diyqQigbcFTJ0pA66g2nLT+Q95Hlek1/NZDO4Gf/+THf+eFDXs8809YxY5PprWPBzFNkD00uC6kUrKkkkobcLzCGaNi+R4pKCLFEquNswRjVwth30L1SiDGSeYRQTMpfVeHbl6AYP/Di6oLzeMHiauDe/AOqk4pZNWc6mdHOOo4Pj+j7ntVmyaP3P2QIiZfPXvH8+XM++eQTFheXGVlksqOzXccwbMApfezRzYoQsihNnVqsOKKNVK7GWUuS0nweApd+wWKxIMZA+Mu/opvO+NFPfsSmH+i6KXH2gGe+4WXzEcwe0bqO1hgs2fVfX7+59CZGMwc0u3M0KtfdNhSmkpvrpswHjMGKKefYCrl0J/trfod+sPsylMUZbEnv7uyd2Z0jeIf2627u8DaUxnXblZd2MpZvi9Fy41S4VMeLquZsOqMdBoYoLBaRMwaqjlzrlUiMiZhMqQ1nLQFj8mfaDD2bzYDvB0gJKxZnhaQODUqSvJk/evQoO4mq2g0NpTIlbMbi/nVtWtXMS7QZeq7WaywNF88v6T84Yn3a0VeB6CwoFCqi/NyxKLYdCksFIppnApIIUhgwc39m5G1i6wR0+/i4iaUtkj1JwpYGJZIrG0JhQUWxEZokdBpYhSsu++c45zgbLhHjmNSTLUla27bUjaOZTFlerbG25ujeCdODOV8/+YrPPvuM9Xqd5xfUYKsarxFJgi8CQTFGksvNbVFIQUvTWwgxEFGq2iGS4cnni0t+57vf46/+n/9EVVXM5wdMHg709REcnJDMAjt1GBySFGPSLaWht63IvcFGuJH97qOK2PvebNfqbVQrt5U4bzv2zt6N3TmCd2jXJiqxRb1Jt1PFgt2JpOzZOLR1M3WOe8eObiNRxu0LfM8k8mCPiRAiF1WFMOWvP/yIP3g9Ybm+5O+/3nC2nONayywEJjZH59Zmp6DSI8Yg0WAN9FcDftNzfjUgrgHxVPUEpGfYLLCuYyqWH//oJzjnsK6mj9f1b0WhNpah8OcYU2XUjs1opcXlitXFmhrD2VcLPp9c8ujDDjeBh7VDVwNN3ZFMQWSl7Ky6OtNX+JQyl9HoYEgYK7mEIgasLeyapURBKuyqoyMZkSuJNDaL9wJTyM4ABZuUVgxOhIcOYuz5evmY18sX0J3y4fAB0SvtbM6BOcAgOCosyvRkxvowa0Xfu3+PH/zoB/zh2U/x/cCnn/6cZ8+e8cuf/4xNv6Z2Nc4Hkgrr5RUaQ4bkRmhbQAx1XWem1SFiY0/jGkjKvJ3yP/6bf8u/+3f/C5V1LC4ueP7qP3OpDc33E+leysQ+XUuYOMRZqtQACYvP4GA1OePYEyraAh5MUbDTsoUU/K1Nb153V65Hwm0zhEjcSlaO51hVsWa3JeVhtfHx0hsaA4k7//Ct2p0j+C1ZjlJ3pc/ENze8rt1MN1FEN6Aa+z8qpVZenhdF8GrZGMvXtaNPNeerwKuVRy4D6+SYd0LrYKKpDGplGu3MfOlZ9gMXy832NY0ZtXMzlt3HxOnpQ46OjnDOFXH28fMXTnqR3CgeP2epQydNDMOGfljjvc8N5KAsLhYMPGRNYm0CnYMgeXJZSlbgnMFVZXgv5L6BKVTK23O2LZ39qvp2IXP7tXeYhDFQ1xWNClU/sA6RlxdPOTiYkLpHpOSJyaNY1BgwBmsMrc1NdGcsoW4QBe89P/xhxfvvP+J4PuXpV4/5/O8/yRuoj8ymhxhn2Ww2zKYHDMFjxOZ1Yg1d1xFCJmJLKXFycoIr6nEhBKqqYvA9tSToV8h6QTKTXMqZzBiJ4kbaUSnoH9n7e/dtOwOwPV16/cc9y2ijHcV1LjneJs96vfHM3ve2XE8tyKE7+Oi3a3eO4LdkimwJzhSFcbO95dibvO3bjW18/Aa+GihRrBTlrR2sGxzBJC5di06nqDWcbZa8HqC/UiZiORHDvDIYPJVTamvLhu/ww8By47laD9uGojGSB5iAuu5RD48ePWI2m22RQDdv1B1h2fXfp5TYbFas1+sCr2wQGpaLDWtVFupZSsRVlpAy376IYMVgnSAu16Kz8H32iKO+QIaN2u1Q046x883zfa3MtP/5brlAIpl2QwSaSpiqobWRqzDwcvkVB/Uhm7REBktrpjhRSHvzBFZQY3CmQmtHZWWLDprP5xxMZ3z44YfMZjO++vxTVldLLpZXzKdT5tMuO0xXgShBE2kI2/ObG8yW73//+/R9T1VZYiHzcxYmBq7On1PXR0QyxLiWaWYIvfb37zQJ9gfsttczjWt0e6Z2cx03TXP/I/evyjol3bqZ31Y2uu33t12rO/vH250j+C3ZiKRRDWVx7yLXX9f2uwhmy9BY4KlYkihpHErbbryOtQqPK+WkEdxkjroNePjCtWxCw9FCOKoi3xki81q5P61RjURJLM6veP36nPPzS4JWjCyUBocxymQ6h/XA7//+73N0dETTNJmTv+DyIyPiJ8M6b/7N3nsuzs95/fIllcvPnVRzlusrVivhYiY8NxtsXWN6cM5gEaxYxFoSnqT5XYIUquqCDkoakcyYl79s0QmIBS5pxrKdQUW38NFtlXvv0myb/ZrLe4m8+XaSOHKJ92qhssJn4SWfn/+M97qPudfA5GAOUhMi2Jghs27MXkyOubuuQ1Wp2wkhBGbzA9774AMevf8h3l9xdXnJ408/5dmTx3z1+CmzbkJbZThpDJ6qqovjNnifSzZ/+qd/yp/92Z9lBm9xLJdLZo3DDiuG88+ZukTSNdN2YNI3OHeA1E3ZzGVLM2EQ4lgi21u3b1rhejK397oyGrQ4F0YhmvFrd5DaW54MaCwN/BEocNc+/lbtzhH81s2gWhApv2Ghc7eJ7ko/Yz1bKFC9MUUokbGNeaBqMI4kNdEl3ASaCKoVazWoaeg14oJyIgkTHCKWioGFh8V64HKxJIsSAClhxGUhlEqYiGM+n+9RBctWSMSw0wjeL8+IZCio9x6/8axWa5yr6X1PChGSsFoGulSxUM9cDJ2rMhOmGLQgj5IUta6dnBYiZPSPRqLqVvENk0seWYclbX2ljnwMvKW0sY0+U2koZ+STqlKJ0lSGWS3EYHG+ZzOcsxgWzJoDfBwQcaUUkkthliK5WBzUKENqrWKtKwNnHpMSw9ByMJszc473HjyE9JecnZ2xGdZbNbQQfCn/OKqq4tWrV4Tgefz4SywDTTtDNWcL0a85nh7RsgRWTGVFmzZUqcFS535+CTNyBU6gCMHk9Xcd2KA38aJvXbNwvbykb/gBUOwtjkbHwRPymvoVb3ln/wi7cwS/JTMp12BTaXZlvrS8Kd20W2+EraW97TQRpTTkCjJjvElimd90KQ/u9EZYUFM1FltZKp848AeotnxegSTDeTrgyA+8vlzz0EXMsOTs6SVfvFzx+NUyR9IIrmgMIAmsZfAbDg4OMsWBMSCG6AsWvziAcfJZ2A2See9ZLpe8fnnGky+eYoxlMpmw9on/n7032ZIkudL0visiqmqDD+HuMeQAZGIsAIWa2Dw4VdVkb7hi9+GSD8BhQb4PF+QL8Al4uKg9p2V3NZpdzSILmUAiMyMjY/Bwt0FVReRyISKqaubmkQkgompjFwfp4eams+gd//tfdcqXX77Cvn/BFyTPdLmcs1gnTzVKJGLxXYePnqiZOjuOSt0MpHKJGrvk03ObcioY5/x14R8quezidY69GgUKmZqjjHHE6DExMFN4vKio2pbzdsVrsTzffoFrKp7UDzGmxmKRjKRqg6aGu7TX1IRFwtXEGKmspRKol6e0TY0z8PDklPDdjo+/811u1iv+z//tf+fzzz9n3iyG1eCcHWojf/M3f8OrV6/48PKUzWqNsTXeR+bzObZSTuI1of2a2cYxby+Q2mKbBRqFMPRspOjKWMmR1pjXV7s7prKkitwBpJGaNBsZdRMlXibF7dYIpLQil/3m/1NZTDHeZnSGjvJ25GgI/pFEcxMVtswczvC/vcaa/Wa06VAPEcXl9v9ONDXexFTeDKYU+1I+16hLdBTOE4iIRraARmXpLDMxzGPP1kdUltw4y1os114JoeE1Hcvtlpu45KkuCLMLHEq7ek01qxG7JARPbG9o7DwNTa8dogkNFYzmRrJ8Xa4UyC0xBqwTQt9xe33LqrslSkQqS9u22LrC9XDzdAObK25jz2pmeBFbTlEQi4qhk0SY7YyjC5mQbkhDKREHJBI6NS5RTmiiyx6mnQ14eDsUuNN8ZkEykUfEpGOapAwlhKSURBBTYyPMoydWNY+rLbXfsFl/zWp5xUY8s75DYqSva4w61FZETSMxjQgmN28YoxiS0lRAqorGpjkUDiFUDQDNyYx/9pe/4NGnv+bf/Jt/i/ees+UpoW/56vqa9957j3//b3/JST1j3SeaEA0tnQa2nTLzHfXiAX7znPBiy8Wjx5jOInFJpCKYhmAU8YLEVNqVjP1PZ5bGiA5+viQUsgpj13AocF1BvclQ12xMMy2IyTCsod6QIxFVMDaxzkYNGBECcQRcqOL0m4r/R/ld5GgI/pGkjBicFoL3i8LTf99lLU2pBJ9TCooSRbADUV2ZJ1w87zBg4FNmFdo+0SbMxWCInFWAFZbO0krFa+tYGcONCufSYLQnLivsxx1XVx/xnfgZtSi3Xz/lV7/6FX2fpnOtt68R67GVR1zAGke/SecEBkzpVE73wFpHVM/19TWvXr3i159+RgxgnWFYjq8TAAAgAElEQVQ2m9N2a0Qs6y9e8P/+bcS8/xAJPbPlkkfVLNFbVCmq6mPA58lrxQBQvHkNRDEplTN0FBtM5YixYFTiEAUUUjprJUN8830dMO4xQ3vNUK8RUZxRlk2aYfxwbjBtz9erZ2xfzdjM/ojlbIkRgx2QM4lE2fuEpnLG5uPdXQfGWqwozdzhjLA4XeBj4Pz0Ad/76GP+7M/+gusXL/nlL3/Jp5/9hi9ffs1/9d/9N/xP/8P/yJNHj3n++uusxB23m54+RNysYWaVs8fnXFWW2fyE+ekZWwcBQ09yUNQUQ/jtcjHF2zdTj75cS0Z6jZ68QbP6GdJLKol2YpL7ESwiis1lhfKXcLQDb1WOhuCdyIDv+d233IsKDhXmopBypvcgNIDUUMBIZIc6+uix0aAozhgaVWbRU2uPFUfnDEFqtli6EFicPcL4cxbtivnZGSfbwNef/YqrR4/4u7/7O5r5jJubdfLSJI2rTEo0daTGwUWcRjgZNaKaOm7Xa7bbLpGvhT4pYzUYcThfsf66JahjawO3VtloxIonErPCyGyjklMNA4pqV32l3H5S3IpNfRZDC0HycssIRsndswlOCuyMWkyGYEQgpeNbTfHHWWXpfeS1doT2BV17Q2tPUn9FlMyaMK6PdOicAinKf8JYayR1i0dJ3dnWWowxLJdLqqqito6T+YymaXjvww/45S//lo++811cU7ParJmdnGKrGmNmmLOKXmFxdsbJ7IKr9y+4OD/j5MEV4qps3mSYJZyGyhjA31lmImNOc5rdVA13O4H3k/p5jYb990T2Qb5pVjVqMCgh6vCFbw/zPcq3kaMheCdyF7u+TzE9paWefgZZx+tdYzK8TwpiUkphiACkQDtzTjXDLzQXjVNh2dAhdNFiJFBrx0LhKlR0arjWOSvrWBmLNBVbH6jNnHnzY9rbF/z618/Zzjb8w9//O1w9Z71aYytHI/OUsOq3uXlIcxpIQSaFR2MxYgjB0/Udr1694unTp7Rtx3w+R4LFZFqIvm9pwgmrL7eEzZIX9pogGz58sCBgeBB6mpgnZMU8oaz8Twp/jg69AalGEDNZHoBFbOYf0oBKGJ9HdmnVZMalCEiuzZQPVBETE0smgDhciLxXNdT9lq15ze36luvVJ2nEp1gW1TxxOeW0ic0Q3BhTOq9AcqWct6YRkFEDIefFRQ3G5G5l6zhbnhBj5PzshB//8Ef8F//yX7Farfiv/9v/nj7ACkvEErDc+Io+WtxiiUSHnRlqY+jnJ0QMHZEQU7QUy/3TnN4Z9O5YtL2zLvOCSwZXpl+fyMjKa4JS5h4Pjg+7yDLVUs9JJrREBscKwduVoyF4F7JTWPvd5VAUsNsklby29GrcF3WUFyv9JyH7JHfhBhyRyliCg3nwzKNnFgNBlCAQxGEsRGtQe8K274juHF1s6N2SSizee4wGun5N7YTFzDKrU/1D2knuV8qA9FFBeO+5vb1ltVqlDuswXufAu2MbmgDPP3vJ6Q8dbS28NAl581gEzblzlUk6YoIvF9EMpUoTzGJODWnu4TA5OolRCTGgGgbW1HEnMcNM890WyOD6rBzzfTapDtMQmdnA0nX0Eujal9ysn2PDnHN7CtZgqXae85Brn6QP99dAZvcZ6hmNs5i6YbW+wfc9Z2dnrDc91awhbtc8eO99Xq97tn1O3mvF0i3wWKSeQa/QpIJ1JzV98ASxqVBMCXcOr+GCHjq46jIQokRTb0LGyRDBTag9GGcap3Wbty+Ojh6NwLuQoyF4B6K4HOam4dwpVE4/vU4aaXbeJsVKIVEr3vz4Mg6ZIMn87GGSf80/y/dLRFG6d5NyMaCGqJGtt1A5FkY5s5EHsWfTB77sLF3VQOwJoaF1jnlVs/WBarnkZnbF+osv6XqhXnusm2PMLQtr+en3z7m6nOHF8HqjGCOETF88dJYi4ITQ97x69YJnX33NV19+xayu0z0qg9lDT1XXGKtUVcPqP2x4//KH1HO4MQuC6fnCvOKsN1xpnYyBJrKzaBMPk+sj0ZDQKrmVwOAgRIy1YAyiATHKzesbujZizBrjLGiDbWqkd4jpUdkgVBhTETy53rALo5Qo1NbRqXI6n3G1WeP6FZ998bfcNh2vmjX6JHLqljy8+AAA7zuMcakbO4zcTMUYiiSKDEuKopSIWJezbYKjoxFhPp/hsVSVxbkFplZimKU+u3mTGxdTjSJVhwTcmMO/joDUg9KNORVksrehA+afjOrJngUMtZIY8zbGDUar7COGXWUeIJ9T8fwNAxesBAyJSiIRPJlcyVHEpFkJhkTzcZS3J0dD8A5kqH0lhPqOX7XfQDYdOxkL1PK+/R74bCdSmPyejpXOguyPJ259k4ueCcqKAatgo4e+J0QhVhUzl4qFGtP0sqiJijoiqElcSdYmyuDvffwdHlycMp/PaL3F2jDgzUVSATBqKcAmbqHNZsPr16/ZbDajAorpXO0EWeW9pzYzmmrBonH0xtChtNHSIXjRxK8ElG5TzfDSu3dM83em9Aap2yHEDW23oqoqGtMQO0/lqlQ3yJ5pCHm05Z4OSteYwKDEgEWoHTQWjN5y+/oLbkQ5rU/x7hRLw3w+Z7lcpsa9kGtCQXNqRVL6KXdQF++8nEMymiCSaC6CMHAtdT6wDbCNileb2WRTjSGW0HBSf4pwJwIpvx9KT6brn97XEindxUFryUsyroWYDbbqsECzmFy/4WA0XdZ0QLF6+F04yu8vR0PwDqREAYH00gUBu/eiQVbaJcUjMo79G4qTh/hY7pddo5ALqUOqRIZuXw9oH7AGagyzbs1yE6hCT4iG6vGH1HaLOEv0PVESTUUvgloHkgqWJ/Oay9OGH3/8hNNloivoSA1lpYAbcrEv6R+DBuXFixc8/+oZn37yCS9fvmQ+O8Xa1BiFgcZVaIzUmUDtOw+/z3dPv8diMac/3RL613zhV6ylZyYdcyIzbM4CZUimkTTQpLCOEgkERGyKDowlxtTZq0YQq2zWgde3HdV1pKkNZ49PEREq16BqUse07TGxSrWIqdHNsxdsLvA+mBlmpuHl6jndesWvP/8P/Or//nveu/wef/HTXzCfz3n86H1mswWzWZ0iAFdntRooKStX5tENE+9S1NDHniiaZxPAzdbjqxNerwPrvuI1FrVz+gKvUQha0oWC1TikWCLZ8w9jo+KucdgdTCOGYczqlEk2fdDn551YXVWVKjffocnNCTklVOYTDFFraWQrICOkBBFpLGtBb02Pd5S3IkdD8I5lt/D1za5MYlb89vWF+yCow3Gn3l2ePKaieBLOX6PBYZhJYN63OA+d7xPqqC4F2El6J++3riyVMzjTM6uhtgaxQtgGfAxDF++gKMhFPp+ayG5vb9lsNsO1itjUpGYm3l+Ga16cXHI6v+BktmBlb+jUszEOq5Gt9RiJOG+oyj0mFR2TFsm552Gcp0DO0SMVCRFj8F55/rJnvQosmopZE7GLBucs7mSWFJVJXnqJclQ19STkgjOQ0jgaqY0gteN8FmmXwqza8OlvP+Hmec+pO+Xy4iGL2YLNas3p2ZLFYpHqFkN3dkYOkdKFPrqcikoU2pWmOkfvhT7CaqvEquF1Dx2GNhqsuORgDAo9DQYqkcD+etmHLO8i16bOyRvy/vl5D6l9kQHlJrmnJEVv34LgT3YNUBFVHWgvjvJ25GgI3oFEKcmY9A8TJ4DBCTQUTeF6GdknmufF7iGBihyihy/QzX3GxjKnl72icgCCpvx41yvRROp6xllUrtYdN96zfvWKcH5KL1uoK7bRU4WAdi3S99TAzIGw5eSk4b3Hj8A6+gBtNPR5ZnPJdceUaEYENtstz796yhdffEHsIxfn56lhywjOzEmee0Rcoqo2JvLBk+9wXl+wkBmzfsZKG76ob7nuXvHV9jnLGHHBp0hFSUiqHBVEM9ZkNI+3NGaGGkMMabYCYmn7wL/+255f/rue1arlyRP4z/554MFFw4cfe5qmYTabIVSDZz59ltEaJKaIwwUhZqbRi0WLSEffOp79Rvn66a/5v/6PG2azBZ99+hkPHz7igw/ep5lVnD94PBwnsbtCFxXEYV2FtRWxoKB8Gv3YqdCqoWXJglNuQk80LjVghaFEn9dFBA2IRFRL492Yyry3h2XCZjvUBkyu7scyWCl/N5YU0YQGhdIhPAEMKAlMUMgSC6qhpNjGFZ5/WmxOb6K6s96P8ofL0RC8AymhdgGtvPG743s61AsOoiJ0/wWZ/GlSH4BpdJAKcUVKwTmxcxp89OkccwNVI5FaQEJHCGFgsgwxENXjYk695JSTFbi4POPywQXOVvgYCQoh5nx2wcdPzq3tNqxWK1a3t3jvc0rAEjUM6esYI8amVICxFaenp8zqhsZViBd60yNmjqdl3RsIKUdeWYvNA3DMQIO9c6eGm52U+JjXFlGePe95dQ0+zPn86YanX9zifcfJg57lcp4I45zD2mpHGYlI6qxFkGAwBmy0ePU0M0vtlVkTqCtD5ZR+0xKC8sknn/D8+Qu87zk7P6HtYDabsVgsBkPQUyOmppnVVI3DVIljKeTicqeGTi2hmhHEJS6mDNFMXcH7BY0EeQ3ZCSkghjR3YOxf2FG0B27lEDWYgg6bAAPyvU4RaSSQcj0Fi1SMQZrJYXZqO0hZs3u01+zGIUdD8HblaAjeiZRpTzJ47JA99cm3jORUTSmW5uKuKQW2vX0eokQuMs21wvgiJy8qVVNDKFFKetm81GAFoaOua66aOW30XGvP8/WG3jq8hStnaXohmoDRDtNveXJ5xtWDhsfLBQ8fPqDvDNvOsmk9ba8ELVTWZRhMYLvdsl5tefbsOV89e8ZsscD3EakSe6qGHgWqyqaUht8SK8vi7IpZc0ETa5wJaFsz39xwsxI+e/kbatNzOhcinmVOr0R6jNTY7KGKpNGVknmPEueTSYViNcRwznb7Oe1WaE43nCwsv/qt4ZPPO5rTc2azFvRTPvzwkvPzc+o6TWGzknD3LjfqqaSCsnGRCuE0kui9Y+T5x4pVy9Nf9fTec/3yKbfPn/H0N59hm4bTi0tOLh/y8MlHuGrG8uqK07Mr5qdzTk4WoI4mzgHY9j2uTr0eYhzn5xc8u74hqiH6mGkhBAiT9SdoHHhrEzPrzgojewshp8KKgwGom8BlFeMzss2MRHRIRIeIYFzztkQLk0YYpUPMfloz8z9JHlg/NSyT9cwErXWUtyNHQ/BPINOi7n1Fr29fDNO9n28exJI8cEkjfnMNIapgBOaVYxHhFOFWhE4Tk6czFqFD2i10HTNnqUwiSDs7O8PVczpv2PaBrhdiLkqn1EMEjWiIBN+x2a64ubnm9vaWplpgJHmn5ZxFUpNcVGW73XJ1+R513eBshcFiQkUVIlVY4sIJq25Oq55XrqcSZe5SYVpN4fsMCDalRTITqh2eQbknlhg988rgJNI4eHBa0/ctqsIvf/mCjz9asDxRfAiJD8maITUkMvWQbc71W0SF2iXPt58LVxeO1y8DX5gWZxoqNVTW0gVYrzp0EbHREepT3GxJff4eLC6I9YJWlmAckTSD2QtpVKi1tF3HGQYfsrJXoYwG3U0ZHl6H96+9ooT3QQujf75TAzu05tTcs5aFkUfrmPD/p5ajIfgnkv10zlR+P0TE4UEfh2RAhUgpvKXiZ+0cy6icKayait4kumdDxui3G0zfMq8clakIoefs7AFeHesusu2VLqQO5v1jhdjTty3dZs16vabrPLVToqTR6aoRY3JePxdJ+6A8eHBJbWqsOFCLi5ZaK2Ys6UzHS07xIXLdPmdB5NIlyKUhjVaMYjEaht6M8Z6X/L5NhoLIfGY4O1EuHyqLeaofXL/sefY0cHt7w89+bllvPXXVUtdVotSoCi2ySYNxIHV9xxolUBmDVpFF3XF5Zri9BKElBlJqTiJqHSqGD3/wU64+/JirJ9+nbpY05w8QU2NcTTAzFMswK8C6xAkkio89bd+nov49xdWdqHSyTsaGrW9aOxMQgxT6knTdqnEg7BtlOvD+nj3+Dut87Mcp5/2tNz3Kt5CjIfgnlDdFBPtSUj73/72kQEbs9zSHrehYwM2QPq+ePnqqzNFfN45zY3ms0AnQzAhVhdluod2y8D2ByMJC227YaMvi/JS6OaELyVuNqohxEPoMMEmed99tWN++5uWrr3j58mWCPfpI5VxuFLIYU+bRJvjk6ekFH333B9T1AokWZxskBlxwPNALattwO/uI2/Y5z9e3qN9yMms5MYZzBbUmRSOZniEOnmtAo8FI8eoNUSvOzyLf/6jixz9/zPo28v/9w+f86KdXfPHlNZcPL3j21TXvv+dp3IqqFow4QghphgAVYBJEN6NzUv9cpHYVzhjeu9piFX7zvXM++YdrxFg2oeeWyI9+/hf8yV//S+aXVxizoGoWtAKzjCJSHGiKaFIIkuoBEiPLs3NuVhswpStYcg3j7iCgnTRMnKyPQ20Xu6uVEYqcIi60zIFIMNyhD2BH7MTpmRSdf8fkTsxcUgPO4pgceqty5PD7R5ZvKnL97hGCTP4PFMrgN0nUzKIJYg1gEi48Qzgb65ipYENAQkT7jti1xG6DQxENtO0GHwKPHj9muThN842NJTDZ9wAdVAgR37f0XcdmvabKHbIhK6ty7qWzVlV58OBByse7GlQQNUQsYGmYMbMnLKoL5vUF27jgVW+5DpGVjmR7xTBKIagzYzF0x1M2jroR6ronhnXixjSG1esVj5+c8+LFK0RndN12OMcQe/o+DYWZPisRixGHUZufR0VtFyxmDQ9Oax5dCOdnQte1tD5y+eGPefL9v2B2eoVrTqjmS6yrqeuaaCxBTOJPHco7QohpQlrUPNA+7g19YR84cP962l9z+8ViMQUhxfDz0H6imB1DM0Zdf7iU6y4/70YgR/lD5BgRvAMx2MHbgtHzP9TBOf05Fo0LpC6/zKU5TKuJV1Ze9J2+5byfcV9eIxIzxUR+MYMpnpXBqCVoIKqlRpjVhpP1DU/qM679lnXXoW1PfXuL9B11f023eo6h4q/+9EecXr4HlSH6it4nqKOq4m0i2jOZCiPa1Lug6pEYiT7BPUuDVxcDpldmTQUqbPoNP/rZz3n03gdU9SINYlclehAaTIjMgYeLD5ibE/7+5nO228Cn18/oziMXJw3GRObRJRJuk+oEDksfE7UD4kEEIzViIlXVcHmpfP7rV/RRuO4s4VWk/3rF843n069e84s/ew9rHaqBrl9RSQfhhMZaBEcwFaoGRyqepmJMhTENp2cNIi0//6nhyaOH/M//yyvMgw/46//8v+Tk8n3qs6tEPJdrN8Sx+KrZkBVAQUCprEKMOJeaklOwUIzwrkLfjQwkM52mv43cSqUnIn3PxlTwD+NKRtXn/du81guwIZ1v1BHuCRDDuEaNpOggvRtmUozO+zSK6FQljQ7OYOYmTLFHeXtyNATvSPY9oTd5RodSRPteWkoP7BuBu+Rk37Tfsr3q3e2DpmE3xliMj+A7YnSoD8QQCCEhf86txYjl7Ows0VbkFEkIiiaCn3yYUdnsYO7VI+qysgpYafCZJlo18ev0fWC5XCbsfoYaEnc9eSOG2lZ0VUNdndCFG9YBVr3ShgSFHa5YQONh/LmIJKQSLadn5/z2y5ZNZ3n2VHltejQaXm01za6pldmspu9f0257TF1ROVCtiMZSOjZSbUJQrTMJW6RBiNbRLBrC88D3fvpzLr77xzy4fJ/Z4ipPfSvwSQbSvkProkQ6xUAWbP7+9+6wQeSfwpvXzs5+Dqyhw9sKuxEB2agVNtjyse5+Z7rfPYDR0e//x5GjIXjHMvX6v0lpj98bE7ZjKJ5dvsl+kyK971XZD8un1BPlmBmkl7uNI6nwWdczlq0y7wMnEQgR2fY8//ormtcvid0L/uoXf8IP/ugn1PM5gYZN17LtS9+AZOROOWaCdFprqZtEMR1EqStDDELUKr341uL7QKeBzkceP/qA5eI8pYRC4rgpBGZGLBjL0p7hTMOj0x/y3NZ8ufmK7nbDQxu4nCtNFXN/RsATUJUhTVRy1sYY5s2MH/3Re3z+22dsY+Tf/11H8wD6kBJRRmoq85pXN89p+xecnFVYa6iaJWLnKCeJ5dRYwOHDKaglap8Mg3p8qInmhN5d8OjHF/ynf/wTZH7FbPkBdXWCsakg63XkMyrnqOW/2dO3ohA9y7Mzttttuia9q6B1kkKZPHncxDBPsf+Q0oWiEzSXjuuY/EzNsLd9evVdxJESMTL2J8AErDA9VyOZkoSx+0UTD9b03N8EoT7K7y9HQ/AOZT8sv9vw9Wa5E1VMu9N0VLLfRlIOeZqWmuTHSxpBTFaUghWoVKlIaZzQbvG+Y+kcq5crnrz/Hayb0XaCmERzoGIGCoOiEFIKYWS1McYQo09GjBkSNTFrWk3FR9JA+2Y+Y7aYg7GUkZEpyTTSXIBioqWiYlmdsXJntLHhpt1y44VZCJy5iCUTlQ3eaaKlnkYXs9kJpyczvvPdR3ixtN1v+PVnihjo+y2ElrqJeB8RqamrGa4yoBUxJHx+gqHOgAVRr1AqolQoFi/CWhYEd4Y9vcDVZ1RyiV2cUjUVxA6NM0pX9H1Ow7CGsoFwYu5Mv9vb4r4VwT6iZ6dmkoO5O5+9Ue5Cog/9+3epGySixPF3o+z05hzl7cjREPwjyKEX4FAqaMSlj4Rd5W9DAXCC6f6ml+GQ15UkDmG6mEQTrCZ18moIRBHU1Mxrw0KF9XrFdn3Ny1fP8atnPGlmPHnvI5rmlG1f0fWBTad4hRBT/lrEoFHS4PPJdYTQE7XHGiH6PjWemTRsxQcPxtCHjj/7kz/lwfkVdT1DVYjRpLSV+my0UoHUaY2j5qw6Y21O8ZuKLzcbfjuPYDznTcMiAS+pjUHUECQpeA2KasjGquPhxWNOZ7c09S0//OhH/M3/+luevVwzW0Y++qjig8eGR5c1TdOk2kpvUZmBWeA5A13Q6vfwXLG1HxJo8OEcDZZoKjpjwc2Ij0BFOKdBpaLzHqkMPmQK6pxT1wPPsDxzq5YYla7r6buIMTWI3vG87+tsL6R5MNYICjVK6bPIDCk5ZZd+j5KiDAnDAAmScU57FWyKICYH3kULlSsj04Eoasc6wLBCSwCiZNLGcTLfGCEf5W3J0RC8Q0kL/7DC3//s24iO8xFHGN0926YmqlSoSwXAcSbvmL+N+QWepA80TYPqY0iGQSPed/S+I8bAZrPh5OIssSTbmq5Xep8oD6LktEba0+C1T693iihSIlE9MXqMOkJMjKhiLZeXDwYCthjTdtYUFE4c0hWqyUC4rOSjj7Rtzyak2QBRd2kWpp7zqDQFV1sW1TmLqqGqHc++fslP/2TNd7bCw/ce8eC0pdJbGrfAOcG5CrFVNlQVngZljueKnkds5DHeVGmymNb5XDuEDZ0scVaI20DlZqip6ENPUYUikkZxTiic74NLhhCSQbQpDbXbQDbyWO2vlUP7G+5L3DM8Bw69jw4a9lu2jZPawH1rfm+/yXDJsHkqapcLPSr+dylHQ/AOZIraOeS0HyoEl8+naY/xcyAP8d6NHOTg/pOUQR/5O6p5fjCML64dfpWY+P8LFt66GhdaKoGb9Ypt39LdvMC6BR//8S+YX16wcnOs93h19EQigrUlPUDKl2sa8Rh6z3a9pm17XKYljuoRDL3x0HncrKFX4Sc//1O+/4OfUFUNjZsncjhGiKRmigwREJOw9a532NZx+7nw1ddb/h+9of7ghCd1i1aGuqrwSqJ+iFVCkhqQqBhjwVuub9f40NKHLcuTGT//o78A8YhsccZj7RVNbfAWZrZBsHThAq9XrMN/RDSnrO0P6c0p3jQJPYUDTFZ6FtSg1tAraCX4Qs6GzfMYknIvtSKfZ08XB9vmx+qD5/T0lNer2zQMxofhnkyjgGEmjIzJtfJ8RmciH2NS5E/Hl8EjLwsxESOCqOYIIkWqRkweDFTWcRxr0xnpo3usump2DTMxDaVXLU16qZExwZCz0Q6kORlyRL6/TTkagnck+92bbyOnOfXeh4Hrb6gR7MNWv22NoryIQvbEK0fV1BB6zh9fcn71EKRCcfS+J5rsyeYO3cGQ6ehR9n1P13V0XTccwxgBUQyJodJ7jweePHlCXdd35jxPRaKmFEU+cgwG6SzhuifcwOpl5PlyTfv+GV1IQ3UqA1YynfNgE1PhOCm/BAGt3AyphLqxRFUsFmcEIwGhJ+oSIxWow8cn9HyPrf0+gRmdXBFkRl8gjlrlAm9+biZReqSpXHuVUEYlnZ7V/RDJGCOz2Yzr25vURxDGFNJ+Xr3sd/eDyRoY5mDsFo3LvoZv7p2nqrnTibS7xt7sxR/scfgW398xTkd5K3I0BO9IBqhkvNvd+U3b7NYGJjK0+CcDoFowFoflbuRx3wzaKSw1h+x50lZTVTx6/JiV6Xnwn/wLfvDokssPP0DdjFUv2FDjvU9DTyyYaBBNc35LbSN4T7ve0G62fP3sBc6lbRCfxgnrFldXtCrcbNZ8/L0fcXp2mVg+83UXPMk032yHweaK1Yjrera/fkn/4obXRvlV1/LT9z1mEaltx8NmjpQRiKU3AwsSaWqLMw3ed3Res6FaYK1QW4+Enhh6+m6Lk+e03c/Y8h1euL+iM0+I1SNUHJ557gKWzL5qJvc2/Qj7EV/Jmefu2d1p8Ifl5OQE7z3OOfq+JwaDc+VYZsixyz3rIxmmkRwRUUQLyVs2r9kgHaozqHEYwJf6V4wZ03YoFXr4GvaLzyY/37s1EU1zKjSft+ymvI7yh8vRELwjOVTg+yYZisr3zGOdDhnRnMb5pv3twlLvqSfsFfGS5PnJKrimpp7POP/u9zg7aTBVg9iGEAOFwVNJg2iKF1sKgVYghEjXdfR9z3q9pq7ryXWEbNAqgkZcXWc+/iZhhWKabZuG4mQmzaiZ0qCoOYNGn4jtthF6kI1hexNZraoLJz8AACAASURBVAIPGvAxDaYvA2Tyjc7XmCiYo5SooEq8R7bCWsmjM+1Qwez9OWv9DlvzQ9rqQzpzhpg6PQ/VFN9ohSnpk737XhTreNfzvGKT8jWajUSiaT68dpqmYbPZYIyh7/t0bIkUunIVQ4aD7Ww38fXz/VdG/2B3HaiM5nJfBJMVeY5CphHg7yFD34Cy2+Mw2V1CMu3TXR/lbcjRELwj+X0MQZGhW3MvQohG0Tgp8OrI5b4v+9seSrMcrlVkL1s1e2jK6dkDLs8qLvsLHjtYWKULEe89lQE1lgJ9V68YIRVUjcVY6IH1es3t7S3bbcvJyQkiymbTQka2tO2GdR/56Mc/Znl6NvDxj3WBbNCUnNxORHkFGRO3QruN9J2BbcP6iy0xwotntzxcnLCptsjpCb7vqN0iF2BH6TvFmTliEwRURLDmnBg9m7ZLqZAY2bYdN+HP2Z7+jLa6ouMBFTM2ep48VjpSB3DOrWmfHtUOAN5mI1aihJRPD5mvZ4zccsRyaI0Yw3a7BZtmJAgVSj95uLtr6M6zn0B6h3RjlNwMN24jMnE4pkq5DFsqkYdIGlQf9c7a+ybJ7Ez538OB0xlqupQoqUMeTZPADzKdHuX3lqMheAciMebQtVTjGNgvtQTQIsQYMm1xLgKX7YfNdPfnTpitIBPvdk/ihFBs6MzNhmOEsw572kU4iWK0wkpHLYKzlpk7Y24jIXrW6um1wxpHDEqUTBGQU0JkJWdEIILve/o+sG17uvWGECJWHIakYGMMVE0Dsef88ioNpjGGhAdKKbB8xhhjEtFbpvGoHEQioV8R2hXtdoVtZpjokU3k+estrb2gDUrwEWMcRlsCDVAnplS1RJnhjUFCpKKiCzU9Dq8NG30PL3OiaWhrw1a/j8ZztG+QqqIzYGIHEhPtNoDa7FI7ICImZmNgMqIrPTsV8IXLR5ORLxGhE5cGxjhH6PpUF6ibwaga4wgxobyQRPZXVoTFZKM5OgpxEk2qTV3kAy9VVNREihsyUk2k2Q4iadTkmM5KkZkhU4koGaVWjECKtkTSJOICTU37S2ggG0tEYobz6oThfbAFIq3FIOUslgjumBl6q3I0BO9ADjWPpQV/FzJHNgB/aDF53ws72LyzEz2MJ3LYc0uhvs1Tuaraoc2Svt+y7uGV73AoMxVMjFiTFJITh7Fgcgdq9CkddH19zZdffomIUNc1ziQUUNd1iBW6fsPpg4f85Cc/4/TkHCPVzjUMdRYZu4GFSFMZQoDQR0Ifqc2cgCGELbcvW377yZaHpzcsPlpyu1yzqGvELnJh2yDUxLBAVen1jKgLOr2kY8mN/y4RoeUEpSZKRXCGaDwwI1ATmSdAFiGHRGUOQ3rWUvpkh7qETJk3hqL8oQyQqqIhjZzUGLHG0G42nCwWeN/hvaeeLej7PsOER+9+SKMdeMbTaGhYL4cW1eT7+/spUYtKSgv5jPZxmvL8xbEQETAGiaPXn6KHMY0Yd5ygybPeWZZltvVwVm8446P8rnI0BO9A1MjEIy/ImfSS3i2eHVLCu4t8v6h46G93vqv3f2d8Uce/77/shlS8NJLy82IsaipCUIJEumgTKZqkAl6IKSWkk2OnBrKAbzs2qzXr203iJYppbm7hyen7HhXl4dUVZ2dnGAyVrSke5fRaLGlylpmkUFSTEei6HmNcpquoiUHZvG55+dWa7aMZXddSO8EZzXdTiFT4uCTGGi+PiXJCx0O2ZklrlgQsHTWRCsXk4vaCqIl2Ou3lrlIq8MeSahv/PfF4p8Z7khsf0uMiicAwF1CtJB6mpqnwvsuRnqf0ZEwOPBikN9WGflcQw369ofQ3FG9fKZEAw7NL2xUjuAt2QMq7kFa2THNNd052//OjIXibcjQE/0Typhfwfj6Vt7f4kxLQMeTf+WM6lANcLmQGBK8Wo4Y+OrpgMZpmF0cxKVTXvCM1hNAjKF2/pW03rFYbfNchkuYOIDalPHKHaoyRq6srmqahFANNvmLNaQdUYaBEFqwkT1JjJPoO33Z5GD2gNWI8fgOvnq9ZvT7BPwbvO6KJGBMI0eGZ0fKQGC9o7RWqCzp7RqsLOs5RDJ46pUIwmQ+nH3S75GJzsoLFa7V3lO+IxjksSTcWhTl8miMryUV1xRioqjQm0zlH7/2k/rObN3+TERiI7XYKvL8Lo+cuASKSvfV7iPIK6R+A0TQ+1TIOR0p/+Pbr+1gsfrtyNATvQEZPa39hF7+ppDx0yLtOX9oB+rcPJz10rEm4Pf1u8S6nPQS7tmeaRtCdn5CigUqgElh7Txsq3Kym7yNdDGgrLAUWBqwTgqbscgCIEXFpstn19UuuX73k+VfPqGydlZlJOKN8Pj5GJBp+/OMfc3JyQlXZxKUzOffh3oQewWJdyqlHH+i2G15fv+Tm9TVzNwOXCtl9iISN44tPXvPp2TV/9OETjFQsjUVoaPUxLd/hRv+cVuZ0nIE4MDU+WjYkyoRQKJc1NaH5WA+Gqtz7RH8QIdjhSUmejKY6JQu0CQg7eZgmp+MPGY+IYKzBiiNEZbZc0IWOGEHyfGQxMkQmJUqSPBToTbJzvCGCma6n9IDisKYmqyfzGxmRoaYhIpkue9x/6pIuef7J55rSS6lIvpu22kkPDX84vM6P8nbkaAjegQxUukXRls93Fm8J5WPJH02+uYsUebNnd2jfu8r9m8L/Q6mh8rmdKIPoHFiLomxjpCLSS4QQs2uZEhRGUrFaRVmv02jK9WqV0hvW0vc+Yf+tpaoqzLanaRzn5+dp/KMRqqoi+v7OtadzGn8PIeBDR9u2hK7HWps6hakgNigVffeazToSQ0XfWzQaFEfUGZ4lHRe0VvEyR8XhcMRcSI0ZGjv0BcTE3BnxJbsxFLRhjGAMe4X8AdqZJMp9eKDdZxZIxVSDwcfUN+B95lvSiHX7e0kF33Kv3obCnJ7PfYrY5jUU8nXurL+DjYFxqGMMhXNjkHtHbe7PNz4agrcpR0PwDkS0vIylOUYGD8uYMSQfCodDjjVkhQEJG292C6R3cv2aPcPdLPW+Zzb9vogmBIsqSRUZxCTY4fgSClY91hiMRqTdEJ3QthbvDVEdfWeJajm3FQtTY+KGaCUP1UmzCzR4Xr685osvn7Jar5k1TeLFcXlYTASxkdNmThA4mVUsG0tlldBvMZK4hCR71UIa1KKiaEi58W7Tcf3imudfv+RXn35GHzrC1lNVM6wJOA3E+ICvvzKsrufMraXlBLHf4zr8c9byhDUP6UxMjWAIvSQtHWLKSWnU5GKL4gkJV1O81lwklmz9NefZYlbzMtRjbO4XCGmCJ5qGw8RclNc0MEhViEYwGCQqYqHftjTWYGLAOcP19Q1i0wAc1KISiQQspG1K9ITm5rW8RmIy1obE6aPD005jNVPKZuIQ5PWQ6f7SdcWktK0d0W4qhlA8+RCTT2MmBiM3F0rcjVCtjAYj1UPS+jEp55auI6Qiebwzde9oCN6mHA3BO5K7s4MPIzjK72NI/CZ89B3IEQPs5Js5gvOxhELrPDTm5Lz+zvkDlRgqNOX+NdBHJWLp1RD7SCWRNkBjImLBZPhjgjNC27asb255fX29E3WIghiLmIgYg1hDU1XM5jXOpc5ka0wquKuCGQ2dMSanFZLCabdrNqtbXrz8mhB7fITWBzyWxljW257NbUfvA1+9WtAszlnEHxDMD9jwMT3LhPiRhjLt0ahJuPWhCGty/aMo+7HXozySgR65pHmKIgwFGprvqyp6CD2W9xHK8SQrbU1GvSjPrusmab5pbWDCQ8UYCQyfZSOgqhO48GQdIcP0s3GtZjjpXuqy7Pfu2pqkGCcGKA4GI31sOLxW07lNUHSq+Z6+ub5ylD9cjobgHUgqraZbK3K/EbhbS0ikYXcLiyleGBEZo5SskhwwOOnv02OX709f6jQYPXWzllpERIPgbGCGsoye2EfaNhIibKjYBEuH44E3GFpmNhWBrSgqkdB1vHz5ki+//JJnXz3HGUfXBpwRbO0QMQTfIWIwleHk7JSmqVnOGypJ960LmdI6GzmjyeONqlgDffA8ff41n3/1JZ99+im3mw1eK9peiOsOc37G937+19SLBc2shic/YHV6ytf6EZ4ZN+4UlcRa6rUZxiwqHlSzYUspobGjmfQ9kzzk4vmKZmNAidRK6g9MUb6A7qXhynMvEWTaJHM35QdWWYdoYNZU+LbDGQixpB1TSnGfBqI8Y6tDJWjsI5AIMkmwCUBAdugwivGNuQaQmt7ssLfDqcjfRV0XWrpSXDcYZKinSL4lMUUp+vbmHx/lrhwNwTsQI+NtVT1Q+JrIrjEYlfNdOTxEREqlcYfN/bBIrkO8GUkyYS0lcfjYGNC+x1aRbYi0fWStDhM8N16ZY/AKVgMYwUQSpUTXcXubmp8chtql3gGNJPSNKmlmscfVFc5YKmcwNsUsYtJ4SslzkIfzlkjE0vWe69sVr16vebFa0249SEV9/pAf/eRPmF0+4v2PfkAzO0k5+fMTNs5Q13OCsQSUqDUmLFHT7jwzOxjM1AIV1SRDKSM99M59zd5reYTlXJ2M+PnSDJXNBaXDeHweJtNSxEGxp+Y6C1GpZjWbdj1ZEW/ur037HtdN6rzY56eagAYkRwBD4TibAtmNWvMV3nvM8tfxeU0MOQxjh3VyHrntAsn9JUN3tclODuM5HAvFb1+OhuAdSFH+RWQvFzp+vr+ov+kly93JWmiEBcUnYxCEaXRx6IUpf58Stw04/eG9N0BAjWCiYmFQ9PQJotn2wsrWdF3HiwALcay9BxuYVamA+/z5c54+fcoXv/2c0PfU1RzvI/O6ovUtVm3q8jXQR2E2q5nNy9CXNF+gC4rNVAYlmxJDj4+BV69vef7yBf/67/6e3/zmN9SPfsBPfvQz/uhP/5LZ8pz65IJKIlQzqqYmClTG4vuWlSwwWkFQRDq29ikunOQehID2AalM1l9JUSZjkHWaTbTSJZVhFOJEIwtCPZSC0zSERJOQUkYmTJTqEMVJJlUj1SOyYyAacJUhqrJcLllvV5NnK0STcvuGVCtIPQkTiG3CEgEQJvWNu4tr5CkqKSeTj+HzaaZivxlQP8M6Y5IWYrewPDaZ5e3Ld3OqqKz6wQXSxFk18iBKir4m3EhHeftyNATvQFIBWAbPcZqTvaOcqQBPafJSTQPgE1VDHqmiyj7RlsmMYGpAh67N8v9J8VLHzw6caf5vaSTIHi8BF2vU5JnGopjQsQ2OOvachsgXrbIOjtU2sK0M6yrgjMGrYNRwc7Ph5vWK1esVzrh0jlFoQxzYR00FXWhptz3WVjSuwanQNBXbbYczFrGJnjrdq+zVeuV227Puhfnlh3x88pjzyw9YPDinOb+iqmacL07ocRiXvG6XIZ62riEKvcZcUHc08ZTOpEKlpAIARpXaJUK9LpbIRZDgE9DLmFxIjjvpngHmSj5nsZP7CprrD2AwwQOGaBINt01qEpvHiooJOFfT9x2z+SzBdqWCrOADClHz9oaavA6Gc0le/oBAGjOQGZ7LMAgGTfQaCe6ZezukdEErxibDVmCjZR6AaMJVYUpazYEIGv1YvhqiUEPQnAqawFRLTSFFDIYoOk4ok7w+y/tSLMQ9HFtH+f3kaAjegQwKe6J/972kUeKd7YzZJZM7BAUdfhZXdL/YuxPC32OEsgIrhxr8RDUYAlEjTqDSgBHhzG/Z+kgIgZkxbAWeBqiM5zxa5kHBB25vX/PVV1/x2WefEWMkKHTa4Zyj6zzRZASNQNSUH7+8fJjOxVmMMcxmM/x2g6gikobOg2ETLZsQ8e4c9+ABP/jz72OrBmNrTF2h4lL3MkI1GZMZ0KGhSbK3nhmN870JGLXD9XtVqswFYQoOfvK0vo1nupMO1FRTKMc7NIf3UHov9B5jDcvlkpcvX+ZJbVUe4JKNozIgbfaf+VSmBe2Uhpqcq2bHO13ccI0pQFEK62fqWDYTMMR0/aUGw2H5Tzz+Eo2O6//wOe6kQEu+6JC8EVRxlN9VjobgHciAivg2xS0p+eJUmHxTLaH83C0Av60CWlZCmlNDBEz2xVzmh5yFHo2BuRpOLUhl2AbhWns20dAHpfM9223H7e0tNzc3qXmseI8ixJApkhlpB8QaTpZnmOx1l+HkNuuWMgkrhkDfetRHjJ1jbYVjhqnnCX5oqwGGaEkw05jpGQa4rurgYWpKVBM10WNQcuF79zydRpxAWce7liKFu9pq9zmmPZisgOMbvdnJ3/IcBs24fO89YmoimgqoUgrKRbl/81ooJaV9I7B77vud0WGivO0EtVRsxpDYoYBSxzs3ntehtX2vQb13JsOUmfUob0uOhuAdyLjgpwpb7/y9NAXlLMOwzX4651B9YVRS05drNBJxx5UqNYHdbcceh/Izn1c0Q2YcTd0GohGLT5BSI3Sm49pEnvuK2+D4uo2YKPS311w/fcEnn3zC06dPqSQznyK0bYtxMrCLqipGLGenF5xfXuKaekjBRMnfsQETEud+7z0mBEyApp5hXIXIDHENPgbQmA2N0Ic2NcCxq1NUU2dziQZS2mJyX1TApElrMTGqJb7MnNOOOX0z1kFLXSbeo9RKAbbUDHRgUjDpV0JRzCYXcifG3SgQIjc3q3S9OPqQ0lpCqjmIxmF2wFjnyWthOn6hRCNxLNTeZzqmtSOJjpj7A2RwXMos7KlCjrmjuRj6HOnsIYoSFkxB7QHjoHtGoOx/PwK4rx3vKL+PHA3BO5BvW9CapomGF2/v7/lf9x4n5aD3uy6n8mbPqeC7p5trViYy+SDh3xO+v8FwFjwisBHoImy8sLEGWbe8fr3l+vqatm1xlQVVbO6IjTF75GJzU7Vyfn7OfJ48/BAjLnu/pa6gGokx4n1PHyKdV3rrCZKK2jEEsCNcV0QQCyE3nQ1Kf4BP5jsj2ZAKA7RzLF2aITpIGfw3e9vfvoiZFbDufrK79a4TkLqxezAy0DGYYe3EMZ8+bDYWfL/5TCbbyu5fSxNZKjvsOSOFMC5OE2aSUE87l5ItlLwJrTb5esl3DdfxprM+ytuSoyF4J7I7J/ig11O+afKrrSZD5hQkd/pKlX+OKaFSdPOqIAYvEcPIz15yxiJx5/hp28lLK2PMEAcunVTUFAM+luYkgwm5s5k5EKjEY6uGuYmY0PMq9LzulNtO8J89Z/PbL/n65S21VITNBhWTh9REYjAo0PdbXC1suy2/+MFfMz89Y9sGKnV0bYuI4BFCsHTB0PrIputZ3d7SR8FawAm9pA5dszfABrKyHdAso4Rcnyjol2JKh0Jk/rKPidguzTBIvD8DbYjqJHUT7jzjKSS07LTAOUtdJ+bnUJ5byCdtMHmamtD3Gy4vL3n24hlOakxM6SylKOXhKQ7HSkZvZPDZP5f0mMMkDZdGW8ZsANNazNaRiDcjnFUztKl0L6fvTGoxudhe+lqiBqy4ne+UbgR1kahjyixgQX2OwrJhLrWwrKpU/XA/j/L25GgI3oHcxVzfL0PhMtcJpt2i06Yv2PWoSgQhQ8frtBnoG46ZMJCUITmHZtLuXMuB7a2BWg0zp9RiWN1uUFXaLnC7DfQ+Yk3MKSbFx5BwLhqpqorGLbhZvcJVFcvTC1w1x2sq9EZNmq4DYhT6GPA4gqlRN0OiIRqHYFMqaaKcv3U0ltMeQzfwQYO9ex/SJiNtyKDEZVoEvT/SOwzn3U/VJSkNaVVVDQythzt7p2vk20say5n3MFTM73zrznalfnvffZ7CSb/pnh44K3auY1L3KO/Hsans3cjREPyTS8o5F8y66mgMijIwJin6fUNQHEIRUBJcD6Ookb3RiEXRAROlWYyQVZs9wkDQlAipSkOPxqw0ZDAKFnBWqazgrKItNHPH7bbnVahY2zM6bdC+ZWbTuYYQ8nl23Lx6hXM16y5w8eicB+/9kFCdcRsXSDej88lbbX3i3vEZHhsqj54+TJ29do7aKqXGxBKjv6Oc7hbWs3L2WfHaTJTmwPR3t4WcS8/Fa0HRGDKKZlLwzrwS+z0ik72REZJ7Xvzud0vWO8HmU3fyxcU56/U2pc284lyaQWB0dBjGHd1VzrvnMfl3SSmKEghAxAzqICvkvD87IZH7NgCIsfaUrtXmTUO+8mFpalrDxeeP8U0JuN061zjO8yhvQ46G4B9Npi/prnKaKodDtYLd7uNdkeza3tUBZvRcJ2W6cTu744nujKZVsre7SzkwsETmPRqU2grnlaUOSg20J6fo9Snrek7sPD4GrERQm1JPFurZHB9hfv6AP/6Lv4TmjN4sUJkToqGPKTXSAqoyoIbUVIgVUCVmgriIGdMU31KGtinN6ZBviATSDARSygaGSGr80lgcvbt9gb4m5SWid57vvohmJJMxiYU13uboJ4zG7NA+DlzGrnGcFia+LeomUkxUIT0cotF7UECSIVjTc40Z3np3i3JPEp32N4GBjt3F70aOhuAdyHSh3hce76YOirezz/UyQuVGpb4nMfcCTIpx35wiMXf+nlIkqX8ACknatEhaPF+G8zCAE8ODWYXxPY6K7vSUfj7nRXNC9Ft8m+iaNSbFFmKgV+j6yD/7xX/MRz/5U2JzQu8aVBq6EBMHTYSelP9PjKPpsKW4O3LdHKbWEBGCxh3G1pKyKGTHqrmP+kBqZvh9p29jeg/Kd8rfx20ONQ+OqcLDkUc6P81X5IkaqauaGGNu4rLDczM5B5/3PNn+/hnWd+4PY0ooNacdklJPGmsCA/XF3pq+75opYITJZQ/7KM/yXmPFcHlSwMxavn+Ej75NORqCdyDTQvEh2cdoT4t4+/uByauhd9MARrNKMBnWGHdf6V3v6XBeOZALgFJGI4bxBRQdlJ1B08hKIJRMgQGl5+JsQRdA+w7TXvL12QM2fk1sAyIO7xM1dYvi5gt+8ic/46e/+Bc0Zw9p3Slgoc90E1VN37cpGsBkTzqhf+JAZVyik3TuxPsN392uX/K924WB3i2u685nqppSUHEKe5QdYz49TtlvSckN53zI4ABiMhWzpjTXctZwu3qd+geszSm2nqqpEc+eGILcVef3pYZEfeYeSuKwu6p14JCImRm91EUOX+PUsUnkduPvYYIEkqiDcVazx4VkDDH2+1cAjMNxyA7KsVbwduVoCN6BjEageIdhRxlN85sa8yMY8NnknynEHpRRFIwdkTHl/XHlhQhpEIyYxP4psWScZe/Y4wsUYp6FayR3p5KYQ01Cx6TGJSg1DKNCzMrM5P2KCpU4NPZUpDRR31hOHp3w6mWksaeobxGnrH3H/8/em/7akhx3Yr/IrHPu8l6/191UrySbVJPWMqJGtCGPbI0NjWHA/jAfDH+w4b91ANsYeIGNgYQZj4CxKA2b4iI2u9nLW+9yKiP8ISIyI2s5977ue3v8oQKo9849p5bMrKrY4xeX13v86I9/jO///o/x4PF72J+/hpJP4PhMOSVcjwDoBIriasKoJsE7829rrbNsXcRs1gBl6yWgKimJFmxQSorVDyiY2wjwAIu3qMApJMhJzFpI2JlbaCiwRu29VaK1II35gWVyryPzcsHf76MNfRTtc5cIp6en+PKLL5DyzqqwNZUULDVu4y4YkVEhNCzjBqRMXszS81WBB11N4DeLKcSmoFg/WvqQQNnA96Shno7EBokBACOy7ABkXKdR75GwWpgchYTqMo50m9jGb3lbnBVgEN55DdAmQgxkR3nVgotNENwxbYLg3ihqfSn8vQAFQdG90VxAYg3vPS++g6nwE5gmzB4IljW09+ie6P8mgqVTehplGI6PWiaMLjDiVASUCZQyHr32GhJG/PAHf4gTEXz0r36O8XABOn0d73z39/HhH/0Yf/TjP0U+fYB09hgl5xrY5rA2nVNKGoZ+Y/zLJCbUuu8kMmHzeU8sganLBoCmLxqzZtY03ZSbW6bV0VLI3vJjMYs9NNdd+67dAw0CD8OAXd7h4uIFPv/8c9BuAChpfwMisIM3i1Y6x/P4HKJm7y6+6XPnEBVVWYnum9n6zddmCEVvkoDRLTO7JlX3IkJP5eAGk/jMW1KENHeVC3ZKyQRLlfB2pi1GcJe0hd7vhW6bPupCoB0HTBn28Qc+AnQBbi3cEPzE8ss9PY//v5ReGq0M7XhlmDcpYb/f42R/hje+9S0crq8guz0++P1/jB/96X+BD374I5ThHFdjxm5/Vl94z3oXcaCz9bjK4jh8E6tbnbnDgIpgGY7D5HNPyXoOh8YqKSF70Rr16xYROeu4qG3Tccc1jOvNzF0RWT3eBQZh8diKSN5daAJfbufi6TY5LD4LS2uViWrzed9/DBHsZNYVLaxvHxfxE0e/f4JjS0333+h+aLMI7oHmTUJSgHzo1e1lbXRaVj/XJCszS/pm16DlEcFxTAh0DCS0FHRA5AwguqWX/NxMauTvT07w1ltv4erqGX73P/0LfOutt/B7f/LnePz4LaThBPuTB6A8YLy2lpaDFjHV4OGEK7lFACwzbfVLNyavLQ/jgnG3dgjC06GfRZrvWtNFATgkN5I1yNFALYprs6lV9UKDzpZkaplOzSjosH28KtdGLOLppYRxHHEoB7z++iO8ePFiMYira61afrWbKFiGZIxYYE1lChiiLhgBOHR8i+esx9vvU9A48xLWQHy0QPx57HoO6GRnz50/81KbEAiI2bKzdvX+a+hHM6VyjhDsm1vormkTBPdBXaPymYrW/zV7qHnyeV4/0O090UZ7G39y5UnQdGp1MK0Xl3laYNVABZ3Wy+ZdKBCkRNif7UFpwD/68T/BfneK3f4E+wdn2O8e4OIwgkrR4ChljGxjCHNjQs0/vw116+K+/iVNkhi3zTgxPRsNsMdwgzSE3bmyXGiy9PNQx79085mvfzhHSiAacHJygouLCxQulu8qaFDj/byPF28Z5DU62CFz9dk57KxrhmTn0vI5TC2cMDKSlqI7HWt3hMU41KtJIIoIWQ5UqGfpLZTlcW70zPzFwwAAIABJREFU1WkTBPdAiVHdG6ytrioE8pymgWTTNA33veZYE2njFHYN0jI+CiMlB44DNJCWq4vIrQbBCIOgx2DByVG4ulMA14ibi4ZqoJlb7GA6DRogUgKo2rWOa3+K7//eH2Dggt1uh3TyCOAdrkZAoRmaJgwTMMXWIiUgswCGIDpCmXcGtewgoup7FpFqEegSEEro81uHSmrbqOtfbPVhAg6AubmYWWMNBLWOTOdlBoYMpLzD9WGEN65nUHWLEGl/4EzWjKVIla5qR3gq6IJAYMaQCQ8ePcKLywsUEAg7gD2Tv82RYcVYltopAnDq2a8kBnjX5m/urSQALFDcCgVza7Vp2UeFDYqDi6K5BvypVCy2lEib/Nio2J4VoWwvQarJqVogyXbfzGTqcnEHTVIQrgJASJ+VoRrJLQi+0d3RJgjugTyYW3t+HPVxuvMFmLqNplT91AJIsiyYI/ur9htB6eb+3qhJxiyU25C6U9rnmHZ5sj/T5iRlRMoKBYGaWrgwL3GNVzXP5vmf7+tUm6SsjPd2cZp1IpaJhsqavpqoYgElagWA/Tr69ZM9B1YrUgXmnFywEREOh4PO7waUTbHFas6eANN8FLNfnx0du99E/dgCsxrwTZo/2l83Ufe0ToO5WrWcICxV8Mbn69h9ib8kwaJ7bBWleqOvRJsguAdiSpU5tDTStcpToI8ZNIasFLU8y2BJ0E5axIb131R1ZarVa6vppHY0WeqeNw2v1+pezJjhFMdPtToUaC+iiGgbS/OOJ9PggB0oZRCdaFGYZLD5R2aMm9t53UpQ17GeKcM1eYKkUoVG73ef+KLNj12ZqzSBM4T701ZfffuGPK2uDvNPJ+85IAnFgOgyCCMKRLLWcqQgBCbjYsuQESk17XaRUsLl4RInhwOux4KUBkhZdmM5RLhL4nmA/dVx+4ul5fqp2vp6uqa5vVhabEJEr+FtMhGtHUEEv4ukvy+tgz1vIdo1RUY9ho210VejTRDcA/lDzt3Du/z03q4WNGj+SRn3MdtBNa7gP4bu7DGAmLqn37WiMaX1OMNsZJ3GFnszZ1RrhEjdCoRZ2l/VDl2zJYONZpmZ/xqANZgH0arjpgmvMDwOFo9j2SwsnKbM9j8kY0Zk+bXaTlIAQxvNQoaQaedYYPBLgdI1QUBJBdXF1aVZHDqKY/RVg6fHLCkADp9UP8c1i5XCsctbSqgHiQsIENaf1J5EJNivvTCI46pj2OjOaBME90CjM+IWhoOsmemTAO7kR/QvEaNYyh6RQOvLWh78PM3PtGsSe6UYTAlZVOt3mIBogdTU0xxhrFEFCdA0MmfIlBK8QtShrtUFpIFP/V57A5DMGRCJgINrCHCNVIOynlLqQq2QulGmMYupVbDzgKPJiER6zKwoN5AkCpItNqHRErQCtSiGlHEQRhLtCVGsE9pSQJ7MMgNSyOuf0ziOePToIZ4+f4HdbocDC4YVJtraW9q6pInwnqZezWh+3qlAqX8FWA3tgQywPQQusBNy66MM2HzNcl1wN666IWlUZcXBGFfmv7mG7pa2OoL7pFv1VZX5tnJc07Ka/3tdqwtVyMF/TzQ/h3+O/9+WnDnHfHmeMHQxxt0Ki5bm5aPuYR2660x425TpLhJrMFW39d2m89aAal8BHIXMdOvGufT3LVTYw0HhI7x7Wyw2m27dFLs/Q1bULYDljq1dBplbzk5X02vZChz7epkWJ+DZWG/ObuopHXFprUP8bfRVabMI7oHaC9CabjjFYiCGmIYMRA2NUcydAvXoZ/dzZ2TLGso5hcAeofbOpWJ+211jJgCkcPVjOyVm0yyDJg3FGXLvkTZuFwAFeRLo9AwTdx20XPSEbIFGKv6dWSbU3C3OmItZC9nyc5BtnCOZBWAmCQFZNMbB0OsNMA3V4xgteq2prITqzy4I7g67vjJpUeGVNOOHiFAIoIoNBJBXbAuBuWC3SxiygFkAshx9RA1ZL5RqFo3/5fGigLEDAojx+PFrkMJIpNkzxDqH+jzFat7wHBEAYdG2oCE2wEhdqJmoVWsr1lCGZC+YmycUlInk1ewiAJJCEx8/o7NuDVI3+dL8SlNFoBdC3tqyACl5hCucx4WNVkXQFii4U9oE671Q0O6Jq4ZUfz2mwU5oZq4f+VuZmgG0ifs3lq7VC6al88000Busm7UMnagtTrXlpTnUQqiwW8UPErdAuGL5uAVR5z8Zz5r2GceyOO6Jyymei8Nx8+LBft2iEOgpBLHNFzUMA66ururcbiJBcA/Rqz1XjP7eR81/7T7djlK3yS2d+dHCXXYjaWyr3usj1fMbvTptFsG9UtSy1C/fcG880Dl/4SJ0MgKTo5RNy59kvXhGR83uyBCM5gZS7VPAIGk55Xbk7Nouwlz7becFvFZhieFK+BtQmARNPUzVKvF0lJryWC2RwBRp7tGgZN56ywbKQNgpdUyQeOKnl7DCibqiuc6PrxPULCEXOMH14bq3iNYTiIhpuCqUUIvt2jrW8YlWXUMI2TTnBLFsKWp5/Sy4fPESaTjVbKmcIUXsSSHEbsBSgd0s4D/JVrqJOM+F2KtkGNVnoD4Lk7UM+/SMPT47vetNyZ/h1AvrrOm6bol8nbTgjea0WQT3Sn3lKbCgwS/Qkp/ZafoCtN+Wgm/tpZpr9FSZfpowr17ZOg6prWPQDlcaFPfP/fiW4hGL2l+wCOqxApCwMk8wyBigp2IKeYcBdeFoXADdNdYskbWxLP1WXV9InVUgKOpKC4ESd/dNrxu7c+l4tWCNoDGCnObPzBJFq8lxniLddM+mwnCGVxWfP5pva+QxIrZU3FfJ7mlKwVK/DAYFM21jXHdL23reC1HbZM6EbxXkDLT0Uk8Dl+2crqTNexy0quQ5czsGLdHmszDTWzLS6f6vRnNNNVnuegc9EBlICFj6dWN8ZsboqRdC0TW0JEzY47G0DMpXjyWLj0ymMM2uJwEOV9cYhqGO7zbPx9J4b0OdoMQNzD3M/2a3EXcb3TCwJath7XkpaCnFX911tdESba6he6HGmKsDI3kpf0Ot9JTORsbILCirSAQBBiAwBw+8JRqqm6S5iJR56zGov2kaacj1d1eHjQ12DUv4tH87hJp6Lu+nTETqFvG/RQPFTiUcqS0Lxxq89R4EqaaYFjgKpWraZIVjbT1LcmshmdunKBMfqIGsCcAFSClD0CA4SBQSQu9DbuvizMgEhXcs21n8QVe1jSGlAcwjCqv2ylSQFwS1CCDESOyWg7qxSik4yXuMo2C33+Pq4ineeustPHv6JQ7jiDSc2rOjc4cIJCVzCQoECaCDymZ2RjpXMAYhjBMrzH/fIdtB/mUDLqyy1NaDzPU1Cld4kupmJBupSbriwXobVwZBkibsErtClCx+YokJtsY5Z00EGPU6RISSClIScGlCNQGv5Abb6GbaBME90HGtt/mRW8FNf2zzBbcq37VAmjP7m4Kws2ssuKqW91+CD5sf5ymPldEuuLBUC89ob/FxK6OeI/qKdbJH5ynUhJxfG1Yy6wH1m2qclOEurfVaQLxnwnW/Gl/wewvrxKVVz+PYqhqmkBk559oIqPJr3bO79pI2LWK1GSnVfeIzFGfXFIPb03Qtus+i8w4DnuyzcKU0uedxbNUq3ei+aBME3xgpM2rZPNAUOKGFF8Tfnj7zRyRNmJse07uGpgx+mhYY9/djuJ7Lex/HIK7/n4KLayQxvy1AHPLGAxDcbAVUbQ3z16nV9poTnP86PrSYQa5drZrGCZ5nP6mrZ8LIHaMZyTToIFgd5iLTrAJ55q9WnRweMN4J4bLuMtHKKdXBsXgFt1pUeUjg8YDHjx8rHDcSUiKMMkKYtPucQ0hAUEKJL1XmPcnXD+MkoMJC26As1ZQ0eN2NOArr/jmMAky885o06zCSnzZjQdmYPBKeYhszn5hHpJTDvqlamxvdH20xgv8A1GVD3MJnHlPr7uLa67T2wrkA0c+R6cYCsKmQmmqqy3EOrk7u6VoUdfzovoTKFG9LzbJYXuslX/RNvvYYXO3vYQuW98HzEIfgdoxaBSN2ux1OT09xeXnZnT+lhFLaeY7Nb20+ujVXm2Y/pVd6ltasoOn16nWZTGGIKaTzGMNc6MRnZDlGsNH90WYR3AtFl48xDvYX02ELzPfbqUnOWPzlUe/0NCA7LcxZNtED83BAMMnAgok9eynJcbTtT+8iRo3pEXn1LQxiwvL6j0Ab1DlLY05+rWgJtIDvfKxZrJDNxyYTbcaYHBNAbml0c46Ireb2sv67DHNzgY4GT91PzczIFV3UL99bBOEX87mjzlWEMZZrvHz5EldXVwYToVZESoRS1PbQtS2KslTbXMyFgAd+wxWbYJMChycn0Ub3g99z0YD3WE+94G4itwhKN89uH8DiNlLnAmBWyNgWkhWrKawrGRZ2hWHPSeNBr5DautGr0yYI7oGiBt9eqOiOcY3ZmerUr5Fsr4LIxNbjAHPXUHe6qa98kTS7/RhxZGTVdcTdPH3uPDHnj2mgS1qfMx+/7lLhlu64PM7pdfV+HNFsaXkcx6hqtmhQDNFltzRej+eMpSAPhPFwhctLQs45tOtsk0p20OjzEHRVxTFeklLshAd4ML0VGaprSUShtJm0PiPGXaZuxu5znEu8TPd8rbko+xhBJ7gIkOQWy0TAbPz/G6FNENwDRd+/BlGbL157uTa4B+HmD63uBuoxSf1dX8LqES+scpeCXat0PlpPSYzHR/MbqC8nAV5Axt6yMmnKBonh0lNAhWSLK3ghFxlmv2mfMEiF+rfh+VeGwb0lQOKOKIVy8LRPZ+7FG9NIYywON+FaKIGQWT1JDp+hc5MgxFDny5SV0YoAAnhyC6MA1g4yMVX3ld7eBGTCSEUB8ErRlFLxV6oFfsUHnKzaYUjaj/hwwGvnD3B1dbD7bnAPGRApyBBkHBQ2ImXLZhJkCT3Twi11fu7V2QCQaF+FXHU7DfqciGvvdp66LuRA5SFjTYBUBGyxmuSdw6IgTrq2el9CrIjbeutzYEsdrQbrW0CSNFki69ggOpaSUqcMbPLhbmkTBPdI0efpXakYJQI8QExb64Okt6dEvQY2pV6jS2gVuQSpVZprZ7fxgUBJ/b9Rqfbsk6pVHrl+Tf+sxWA+iol2GU6TRH+L4mvqU24/KDPRjll+LuWMzeU1H5uz6V5zbScVaVaOH68CntDaR/bunptDb4xdyiAp2O/3VRCIFWKRMWhlpypoS4QORxOMPXOc1zSIQWZXz021ClJ3491tVwWGzF1E3XmDReIWCtnfUyKiCgnh1/cAdL8sYopNn6QQreiN7oc2QXAPxGUhQFlhe61Ll1jjP0q10El97Osx0fhiRpdTJHcvpNTy5AH1uWq7zGlHsv4c8+yTJjiAULFLzkdc458PepZRQoSk+SQAKMKU2RopM/E5ZNf6Jwx/idxl0jPCvsmOZ6nE2ghn4AxUaImYzRKZaJ1P1HBZGfR+p6mgLIMF0P2YsLb2fxkZOQEnp6fYDYO6hYRq4pJQQRFt2em2U4YAKBhp/sp6RpXKKr+KM9FSXTw9U+9L2lzwRDoWKK5k96wKpqV9ZABcyBlP1ziL1yTM9Xtx+AlWq25BbGx0h7QJgnsg1f4bDLR+sB+luUUYQMrJes7KYhvHnuY1A67gz9Ina3+AFkcIkUMbp9R92nHNtKcI+kOGa4OJVp6opRR2vuX+nECMnQAEQXH134Wkz2NlGRLQrdGSdeDjSDBWR23aS4zNXTdEiqWfJvtFv/fsOPObq/BwhlxUxLk16O6qTpZpNtF+t8Pl5SWYoX16TXhLdbcRClkfZ2PVU4EXoTjSTAgECy4aXv44TKzJTkG48VkM158J4JV9kaoQAAAGGWyIxpr0/vZpqcVh04VWn4uNvj5tguAeqJm/UuFyWVrBlYqCprEzM9ZM8J6aK6cyvmlxVoBhngYuOx5IrXF9q+wN1kZkDql9jh2QqxZoqY6RgUZLxGMNsdm8AJDsCJ2qoSe4Vm7nN2A0AaoQOka1q5aBuU2FcIYyuC6gGtZExyKTwG8vbFp2lTaod2soJ4ATgQtZ57R60noZF1AiBC4jzs7O8PHHHyMPp0hp0OY25nIqRZBIcEhAEsaQCBnqIhJuyKaxfehACojH8OdPr9WsmhYwTokhQTHQZ7Lp8zdZAi4wdV3aMUtPsV8bMMUBXoug2n6Gw6UzIAM8qYItLc0D8hvdH22C4B6Iah9hAiz1TYOgpH9atlASgEsTCGQPvQd8a6GNnxehKpdagNGPr8HYwAQ73zeT9QUwXSyJMq0xaNmuYRLXAK+MpqWhNK3e/NGKpZ+ssEvAWQWHp/8BKiiai0yPUUagwWfHzI9BYwCgUQHlGqwAg7PUYiWHfZDCSGnQddaBoqBYIDvAR0dLyAQzCZAlYcysAWbRFRdzXehYCsjmwFwqU2IA2YrTmIHTkzNcXj3DkPc4QCBJe0QQq+DT3rueVQV88eVzIJ/g6lBwcjKoksB2T7P2YVBrQ5BQgCTIRSHqXHQqQy4AMUYTTIndGiIMaaiC16uUC0SjzTVTR9e+uDUlqLEKTwAgDMbQdU5iB4k4hq4JgVRMwSjVChpIxzDKiCzaAJRZ3T8uAJoIKirwddkxVFekVOs2ISN1UeqNvi5tguAeqEFNA02L97oAVNWViIwp94z7SCZ+3YcwAIkXcdmPB45bMJIZi0LDIRBgmS5xQAwAE58680GLiDzgbcwDIeukusMiRpGPqyqmJgjdZZE0oC2igoeSSgQBtfaTmhJjLiNCG6xDZ897Eiytjifs9ms1X1fPTpoWno2FQalgGAZIvUgPIeJzFzng7OwUV1eXODk9B9Gov8n0XliGE1lMRtTKTETKLsXnqUz4UAS7BFBO1odaUFwgk6aoKhVtiITwrNwUC5is3tQaYNQbUt1ELkzY+wjYJTINSElQ2CC/ybKgSJWVKbRHVZJITAhyl3G00denrbL4G6XI4qfsaF3DaVGF6SGvdvuazEhmeZgGOj2tv903vGxsDKp+dg2znjLCUTsonTF+NuslXH5JgDH1/wNo/YtFZjASs7kQGiSyH7PA9FqmUZuTQ10ns3Y6eOvq505gJBRhlFJW23ECMUYiODk56dxoce4t2yzMwwDrkAiJBBliwXZbV2RQTtXiU2hqZ9YcpO1UEMcq4LVFjNk7dcXqMdOx+r1St6Kn/067itHsuV5SgHycuboWDep861B2p7RZBPdGfaC1FvUsAMoB/sBbcVZFeOzP6JaGSP/yzbOA1qwCZ0TWxNC11opn045NuTW/qRr6ip9Wqz/J0h8BSKs+VQEgdb79GO1aKS3OR8Agq9zVNFOuSrbvXzD13bt/P7hBrLG7I4TS5DqAoqd6kRXQ1n7KpLvxE6pEGBkoUnAy7DCWESkDIxcAua5fshjBbr9Hzhn7/R4XVy8B0X7O5jmyQK4Owh0vo7lFhsr4tVIYUsOs2FPGKIxRGBk6bbJKahUuuiaaZkptIYSsNWmsum4OST0uWirN0qnCzarXvc5D40keH7H2nGRWTFl7kpbXXMdsLlZyd9ZWSXCXtFkE90Ih+Os+jEnbrbVg3Nr3t1WAllwhx/fNK987Q+3dRhVfP16CGAVF8eJdCKwMeNFVY5qub/63MuUamtZKWNatZpUkg6aenJMoKwuMLiii1Qc+hX26sU0YEhHNMrTq9yEuopbRRKsXjZ2cnJzg+nAJ5nEyPgEMwz9iBOnsA05P/T66IK0hD1fpXTO8pmu+1CPgeEvJKCB8/+U1iKfxAkkhaC4w4nrO78QxZsTMGF3IiLqQNro72iyCe6AGGAYLsgWNsmrFytgEXvATXANpZ0HDZAHkoneq+IsUX0wvemITNsrYK1KoAFrta/kwKaRG2jFJ8ozhSbHAq4gGlQGIVzyXhGQ9E/QoxR4SEvVjQ5X3GPwlUu2eua+aBprvXMFB8yzlkqomKMheiW3Kv0CrYhMXc9Oo0zknjVkIPC2X4W5qLs260rUvljraqpBL0upkH0eNnwCQ0taKxRF6EigRhmGwLLAMECFRgvizQILCBYxTXB0KxpKRaACTCgRhXfNMVONGhTQ2UrMoVc1HQgaTxWeQwOE58+Cw3ohSnwN/YrIkZGEwZc0cIsFOklZPw9w4MLcX6/Omje8FIqz9JqRgNCafTds/CGOQXIWlZ8PtaAcubo2RuRDNQBBrqWoNnEopyDnX+Xu8gMVrbsSql2eP0UZfgzaL4J5oXSu/wR+Lde1//ZzLB0xdGmta+kwI3DKHfDa+FS1xSStdPN4zWFYvnyrcRPTlH++uZudeGdfqWL6CBUaCahWM3FyADoEBKNMspcxShmPsgsPmVkTH5CMg4MI8bmMR9s3ub45rRPLsoul99dahPs44lnaONo8YMzkWv7ntnDb66rRZBPdAa/75nlxjN/U2HkPLRyzR0gumqTXTPgSohVPVV08EhJTUmwRA9Km3Qc6FyDTnu2OWSy+0Ww72u+mgkyIsACIYV5g/WzBVAQocW0iPITtBFTRLc1oUhvOxRqbezYUFNBDGcdSsKzlo6qsAej80XTblrBXI3Ky36Vpp7ZRZAzXLarKPpfimeo04nzC+1XvaAr1+7jVvCwlA1sWO/dkRj3F56qcW5C1lofldcbotw/dz6fXU4vS6kuOurI1elTZBcA8UX4RWgWovPc0hquO+gPHWZT60dLXw0QHuBDEA7KxBxFM6NSe76oMrL6UXK1XNO/44yULJIQTCWoxQ53WjNWCcLCVqjLtbm8YwOSxd13Rl4pvWXHW2LBtqtRnoBV7VRvPc97+W0aQgfv38iQjEgpEPODnZVf+/INv8YXNMuDxcwdM+4xrFa7C5vXJKdRxsKZQQzRyqcQgCCkYgVOVWkb227i4oHeYaAYKjKiJexxCUCDErRUS9OUJg0eTRRKnWdqTw7PvoVUbp09i+70EIpxQVHS0qlDn0+EZfm7b1vAeKGk8XNK4BY+f0y5SkbVNafrH13O3lWmO63jjl5kAur42vS1nV61aky5WrApgwhWWKjdiXXDOeBbn4my/zZH2m63gbt9faMdEdNV1jIu3pC6h7aIABwMmoziHirrnOEvOfjiHO1dePi2Yo9UctQJnfMFcdqbnaQLVpTjymQPs6lE4ILgT7eT0IPx3HTc3saSZAVve84feNXoU2i+AeaPkhjhpkfIj7lD3V8sKv0iCHp+SBznZ+DagBMLRK1UDdJHBwL+9SVV0yR6o02XZzbTD80u3XAVxLKAqTvlfuEsPq3UYNPbRI1EJ1HDWAOzmHitZWjFRQkKxyNaGl3IoIcl4IjtP8nA22rZ+bFNR4i4L7MTgTDpeM09OMchhxkgeUUnBVLoCc1arJQ5djL+wV2D3jy+Zrz9L88V7JS5RtnbSyPJuzi8ggovXkjZkejVWFOZGvIrpsJ3UHqXVAQNXGJcWeGW1OgMGKhMt6X40Iq9KeBUsxnljR89EKhLJlRW1C4K5pEwT3QCntgnvIC6lUayvhgXdIZu8XkKE9YUcH5a+cN6McCCn7sTDNPly0wlmbAAgmedWWs738nn0k7idWH24VLMQYpYeGYNbsoqYRcjhHqmKBqGH11KFNXvKZRlnloCCiYjo+nwpGFyTu/giH2LnZ/N2SNLtFzHXi1dCEdS18kOYaEkthZR+YoBWTCRQrXwBK5qqghEO5wMMHp3j+ouD13RXe2x3wm+uEYfcQLw8A8gFn6RwiCbCexJ4qWsnubwXWIxXaus7+XQHsOUpICukB4EQYl7lAaIBXKGeI4jhVK665jmSgWZU32Xy1Q5tNlvRZiqimRQoGKvosUwHnDJIEGgHONnCdif6bCCRJn28CpKiVlAx6wuc4fT6iAsGUYaAiuhavWEy50XHaBMG9kz6wydI2u5dP9HfPNPEA5Sx3v34fFTx/EWL1bm/CA02UEFFL4avntzOlBjrnwdp97h8N5cVsmqG9sN04lmkpDz/+r390/wXDY82Kiq41lRZNs3Zc/AQqHALkLRayVoqUBF1BWczUiVevn70Zjwh2dIrx4oAzusa5PMEffOc1nH92gZ8+fQ0nWfDy8inOH76BT798ARqWNdoKFxKWzJdpZknJAEkC1jA5mESFGas1JGQlV1NXnguDgho3mT9LJvQI6vqr2Fm6D9FyOddasDkht0CVzUWQwalBfAMqyPOKBVNTYk2Yp7xZBXdJmyC4N5qwNfFK3aid9Qzf9z+eKjdll1NG3Gtj8/P3xyz/Vrqcej+rM9L6ThuTWWMAx2IRS/sJJv7/KCsqZ1q5VsXecReZjjJeq7HB6Zo1wRKFwbGxT7NbaD+gvLzAQAUPz0/w61/8DM+uBiQ8wvk+47WTAZ998vc4efAWrlc8cUvWUl9/btdDW3+RYgFaYABpPzPrPoaUETitWV4MUJ6ftJ689VKI8Z/F8RIgNctLLS6/RRkAH32OG0x4PR/UKm7Wnt+XKBlVG+Lb5vdudCva7Kv7oE4L06d6KXeciGoDGf/72AZEN8vyrYtabPxO/fY7EIZZwE/HpWPVjI/B4KNbP2IRKyxL6mopQhZMXNfglogh840a8+0bwWe4y0rXCljmYFqJS5ZemARIRZprK1QslxXeNI3LxHWb7RvWz/8/pAOGsx2G0xP8/Fcf43/4n/5HnL3xAc7SFfZXn+Dyk3+Hf/rH30e6ero8gBUqogixcStiQVwIWKgGewkZA9QllEndMVMsIcf96aPyWrVANSNH/649D1Kp+9QVpwWBDlRMJhGtcib2e5I0IG2ooxH7Ka51Ea74UI4RhaSAeSklSCIwMXg1crbRV6FNEHwjtJ5CGd1Bnhu+mjEx8YveRhhMmVkL0Jnv1TpsHTvGj/OsmW673QJ047pxPz/36pgsA4sC6FoUmtKfB0BlnGVhxM1H3r5zZNWlMbNY+mRgWJcvD5ACyCg4PT1FAcBZGduLF8/w3/93/xx//dd/jf3J2eq8XfDFbXHNm2/KJpoglFrrUOKgAAAgAElEQVRnNzII6UkSQBS2JKwl1lwMk6hXHCiuNYAIkXJjOvCM0sI91B7E2ZIDMqjBiy+seXsWyi2zijZ6FdpcQ/dBVEBxaZ1pEWnzEKhJTw5EZ0HQIuqXGEix6WvGBmnmj2dotGwRR2/389jlArN3PzaBIKRwCAQPOPcvU/xT2ya0l10Iiq8vqLniJBpILCaPol+9nbO5v4gInBQ4TkQ1du01oHnoo50zW3ZJER3UoK2rjBlZgNs13Gx/hUBn9J6V1IQKwRm8a5OWsSVJ75ld35lgh9WTcoVN8B4TAFkmFuN82ONifIFTKXg47HB5APjJU5zS68j7gt/+5ksc6DWUVMDY22MhNRhORMBo8MoumFjAqc+6cijpZLn7XCuXCbs0BqC3EZkSvA09kjFaFJQiGCnDW0XqPdKaC1dMAGBHLRGgNsAhwgjtiyBEQNrZWmnfhFrIyM3NJXTQoHNWQeepqooFKOrCshvGqT1fmWC9JhSaROw5THhFDWSjG2mzCO6LJmBzr6ZBab4/mwARlE4j6+n4LXy16x6nNWvhVYhCI51ISdJRf/RNVPsLUwNoaz/ecOKVtV2KZUwD+R489c0ZNTNwcn6GZ198hjcevYb/6MMPQQKM14fV83cNfFbo2Nov9aao1/LDZlZlEPYrQnyZ3J0ULbPluNSspmZp7Ld8przo7S6f6402QXBvpFkOLcd/6uc/xlTFfMD1b4SUwuNXDdvcnTOlYyb+1BoAAB6LYu67Bps0TuA76FxiMNzdG23z7zo/O0ch0B7JZFomWTexyOhm65dIkUg95oDmp/biLGApEKzrVf3RaCwtwlyItPgDkY4rBz+5HDQd8nB1jZwJLAVvvPEYj0+u8N/8sz/D9eVTJBI8OD1bvefebKVWcqdUxzDd3FqJ97ZIrl2/8gAQFQUZTL3LMSOmAfv/oa6gnk8whlgREC0kbaVJou4lIo0fLVESdfwUUHVftWr2AEHuGV9xXexeejc1dyNtdLe0CYJ7purbtJQ7b5CesFw5DGAmBF6NuNs8iMqrFsUxH/TkszHD1ZNUmjMVABWWWM/V4hKR9Vfh4GmORxZgTYPtctGNccZxNw1eZsJwOl8deGOCypyXfe/7QYvIHj44w+lJxvk+4503H+Hdtx7j+dMvcHV5wPX19WzsMfYhrl2ndcbqY5mtByWwUA3kpkz9vGeno8n/8Vyrl7aUWUULJU6GdNsC0nMFYw1oMXwnvaY/nXp1c6pWtD64jb4SbTGCeyGDPhN3965US6a0GLx0CwLJIJ1Fg5z5KAY7A5Aai5imdjpGi47mZo2qY4imqQ6y4LpIVOMZtb5gso/CS9u1LcJMMQOIdUTJ/PlTIeCWhp67faebnZe1HqvGAqAtDZOdjUXZznwJGwR2DZDaHGJ2PVm8QuuZGnR4gc0bjHE8AFcv8O23voPh+hK78QJ/8kcf4vLFl/j533+E0/NHeFG0V/Si28nvFWnshYMWPhMcoXtcDQJLUQ29CIakKaJa4KeCt9Q1TaiVEZIAE4jFBIhr3DXbLFRst7GmGiNiu6/qnusVDrXK7A+DBidYH2df4GBR1tTXoDSwxQUIMAhq2mTBHdNmEXwjpG/CTX7QNTfN/196cCwWgwF4tccoBY18PrEUJruGt7Q4Nk9ZlOZHjiM7OsIp83KhteI/nwbFRcSARBlDAs5P95DDNbIwvv3t93BxcaHuFT6C4eTnXkgVvj316b7Rwmp0HHJ67btZ+rIF2sVj+EJYQxyax1XWrjk/fgYEuPoMbvR1aLMI7oFcc20vD8y5nGFpEUbKFrxVY9Om7UUums1Rqy1DumhlXRVu2hlIXyxUc+JXxjrNDqrjl6Z5Rj+8M9x4Rk6lplt6hlLRhHEwKabOYBg5ghEdSoAA7Lg9ABT/wsZRs5Es94WaNaN+cqoWhiNpInkiJGPnmUVoLi8CAraSQ4Fny/5RbdiZT5EoIDxLSC0kt9Rqo/Y0ImEHSMGbb76O5y++xPe+8wA8foZPf/McT15+hnF8HWdnGVd2bCEbgWn3ng0zgDQ6Ym69uq7VMkiQMDa3nDIymLXYSuMxjCQMgUAkATSAIRgzkEsCi7aCr26ZmmFm976loZlJpU1lII7qpFq9H4PC1XKgJPXR9GNcjRf/DmZkEVl2lC5ztb5gKKastRQQoHg9+7qnc6OvQJtFcA+0aPZzmml4miLHIBlhdvwCw17Xsl5FY1yNR9z6DOjy0v360bU102Qp7t/yv6Mv/zbU56OsjTuhD3Kk2X7zNTieG9/SHyfbwrgZpK4PFJyd73Dx4hKPHr0OooynT16gFEKRUcHwzNIhbsV0ffwkatBL938++yWtu2ZoIdXAsx7ekhF6kd7OtRTD6L/n7n7H+gAAIbA/AbeLllX9MMenWqJpvGmju6NNEHxDRJIM1Cv4dlFA4hkZEUq432/KPHtGNK0eXQ7MtRz5+diWmPO0enbqpyaiqtXdMPHwB08YVc9oV09h+8Uw+JRxMwhMqW7T2EuFypbpSnHLgppQhI0GWkYSsCwMEoDdAJydngCFcbg8IOcdvnzyAixaJ+KxmhqvmTi79V5M3R8r93Oy1bUgoLBmmiXR1pfZK699vgmQrJsncy25pOI9qt+5Zi8dLmsYfz+ntDJXQLOHWvaYvgf9eTf6JmhzDX0DRG7ztm8AmNZU4XzTTKvTP9UV0J9r+WWNVAOd7mZZYLQN9RPdOTX11bT3Og7URjBaXEZu19tx0wswFDLZDvSyigWt2/3mZC4pD9RWCDSCR93r/y3jiOrYEEYh6HH0u3nWRjc+KHNLWDC4jjO41bqq3MlMiQgDBkg54L23H2OXDnjzvW/j4998Bjpj/PLXT7F7/AhIfcopLEDcBFEU/vXsaM+A5+wDUiYWjLnx3D14KAxiwhnlGgzOMkIEGCjhIK3RvVYao0/iCUH/BODg62K/l1KqG1PXQF1/RfT6YiVmvoJJtFgsUQjKOzEgnt5KXuleQJTNvUR6rDTrZTMI7pY2i+AeaElLi7grre/ugCIJQgOIkvleZ2c7eo0lWtLKburqtKZdTs9526KjKPyInNMsj28pfXNpDNGNMrseBASD9cZtwNImnqTZ2Pv1qm4lXnZtEQuyAG88fg2XL1/g8vISabfDy4srvLi4Rsr7trYB+8iD27W6OI5TjrO96ThiLGEW3BVf99LNZ8lKnD27/tmb6giwWuBYrZk8+Xv+fKU4Jp5nUk3p66VVb3SMNovgHkhN+x7GoFRcmIbtTsQ15XIaENTP9qKQuVSi5i0JWiTkDACoGiM1bbq2yESvYTvmPgCQaGyCLE87o8EMk3hgrrVbLJGhmEZbA7us4x/EAN6ya+7Qnr0CMBRKQdh8w1mtIa8OBltDlsAIa2uA6i2xHHlxZqfaqWB0E0L/Cwwm29qKcb5RDOaCGSlBtXVLZWXo+COzd82dmUGJtDWjqJp6AONBTvjOm6/jyeef4AVG7PaP8ByEp09e4tEP38K1XOPMgtEigoFS7QUcU2OrK4wZKVGFKfc4iEJzjHVOfuAYKqo9wUBwgsIMwYghAzknHErRAi9CbSuq9kZw1fmzAgGzYEgJxO33RCd1jO7OUaPE3TzWy5gEQLZ7azeMWC0EatAobmmp0pDhqcHaUUGwd1a1ZQvdC20Wwb1Rv7QOH7Cm9aylDE611apNmyk99eXflqKGvxQYPEbHLJG1cfvvsR+DCz1nsGvpmjfN4+g4Q2vIpaBzPM/SudZSHn3sfswuEw6Ha5yfnaAcRnz++ecYyzWeP3sJFvXZi6yPd63ye22sTp3DsYuZ+P/BggFQg7mTWNBtnp3pM7M6F5FXSkKINK1iTilV2A6dA3fP0UZ3Q5sguA8Sf3Dd0y31oZ4yu+Uca9WcHD+eyLXIgt4obnqba4xkOI5e+dnG0Qsih2qGQzAYfDCw4Fs3WmMYFdKBVIsuCZ1FEatBp8LL1yAKA48ZOOxyNwaJbg45GmiugeOk8BYRRmI2NyawKMRzEYJIC65rURpVF05K/WsjIkilIOMaD88S3nz9NezygG+/9zZ+9suPcXL6CGMBBAO4pDrfOn+zhJayyqYMz5lgDGRzWFdHQ/X1u+aCEYyDAGJQHdU6M6ygmwRBHNs0aWHq8ukQX7EueFtG1GRLg8U6msAiVhhst0K/upjZaI02QfAN0boWJQsbZkIAWMsUuUlzXsg4CYdEX/EavaqlEcfa8HlMAKUeklhdQQsxg+i6WhCeMwiC6POHbXxs3VfGH/3QC8esnScnrWXe7xMeP36M09NTEBGev3iBvN/hwKXdt4XsGY0Z8WyL81+KTdTjF+bhm6OHFnOhERHSkZjNlKZW55LQuml9bnsPZskEnlXH0gnmfJuMtY1uTZsguA8ijw84bPLk4V4InHUvSRJE6IOoWzWrQGYMUv8nSHOkx6v2FkjQdD1QueRiukkIiAgya1P52moZjQk1oDTTRFfO59k/Igq+5k1IalA1WjJRm5blHgO6b0JiQmaaWSZTIiJIymBrmjJdr3i9JbdK4YTr60u89+038dFP/x7vf/t7+Nkvfo6LcdRYSbLGOlZPES0kj42sBYvdMoiZPPW5iXEMbhq691/AkMGZUCiBGRDWWM+QgESiBWe3ZNLHhOr0+2MV1MeeqcJoNZL2jOeOS92uSn+jV6NNENwbHYc2XvOJd35e6o+bmuWecXFMU4y09hJnauAAX0X7nz5EsamLSAv6dlZAOMcSE7xtwdBNbSVjnvoa9NnkoO7P21oFIoLdTmuZ/+bv/g4n5+f49cefIA/aEW6w/5mPZzRNzzl1oTl1GTTU9p9RanESn/30GaQF7KOb5rykNLhQq2PE7Z7L6Xmj0K/HUxMA8Znf6G5oyxq6B/IcaKW5NeCk2SDt+xbUsxfB/cMk0CykfX+NFLOLpljwfa68oIBzsqwdAVGuDGms6JptHDoW77NsUMb2lpOo8Cikrh4eydBUWTNPCKhNT6pHV8Hw/PUlyxjiTCis2VMkPVMjFsug1y9zePdrLYMvp6+VzUX9+A3yQI8hHUPQwt2iSVlAzGZNud98MJ+8r7P20x2pYPC1Ix3fo/2AT/7hF/irf/O3ePLkgH//0/8Xb731Fn75xSd4Bka6HjFwAvZ7iAwVShpESMWYXbY52RwGg1gAgJwtk4a4thxWIQu4t91WtkFwEyEXG2hKGKWAhZElaYYUtPE92PsO57r26Na6Pc/ioHCIz6xWVFMSpFKHoc+h7xPGKkL1GRdzV4G1diVXC9geN2KbrMe52jw3ujvaLIJ7oGNZPDNf+NLx7saAabECg/qdWBkBDfRGTV4SMubuqCUNffqdkwZS55aL4g8VY0zcBXNvQ0v73iaDyPsM0ERA+DHH3G+x2lVEDBLBNeaWpbJEjv9TBXcpoHLAScr49NNPkRLw7NkznJycYLfbKUMOgt7vw+p8QxDYtxiEvami21MGdM7TKt00621BRL1rbvL73CU0t1SISK96ZM27NZt8v0r1Gfd7k5CRtp4Ed0ybILgnmjLodUbtGRI025I0OObenUBdLOB4zKG5A2J8wOMCay9UzUpJLROEspaGMgQHLjWjhR0YTUoVXGv+5KWX3mMVsGOJjx/nPna3GlC4j3P4uDsXmph2z/XYmKlUSjE/vF9r/mrU+di8R2YIjyCMePbrv8F/+xd/ho/+7iO8++67KBBcXB5wev4AZVQANj1/awTvjXf0c9+r2us8RhKM1DCJGlibdHPlRDV7yC2F2pDHG8qzNoYRIcUzhGeyqeslpm46ERGEl4LDAkBqUJthLUs7VxTqWi8zfr+eb73gqu+MtPeD2LPwZrdno69BmyC4Jzrmt58GG9eICfDG5PO0x2UNrp07BqkD4F14MW8N8exjzBrAlbQsgMSYEYhngmlp/vH8RNQJO+K2RkskIi3Q7QxdJq43Sxf1/2dNd2wdMrXU3j7Fd1lIq6sjQYRApO6MfbrADz54F+UwYr/f4/T0HF88eYkh7yHFSrVCoDrONU+ttBXNn4i6YPmUZtk8CwIVksBIKDUtNfjkF1plzmM4PNnsW5pbu0vV0pG4ChK/Ny0W0McxMoS0ELBAUOzfje6ONkFwDzQVArc2g30f36jl5PPirVpO41s27ZvWDSijZWaUUuYv8MrLO45j3b9jXEMCZ2O2iTtQuNsGn6O1cuz3yLB9i3EN38ZJzGR2jKBaBwBQigRr4LgVl9NJ3WcYEoZc8Kc//iEyX+LpF1/i7bffxrvvfxcff/wFTk9PkVJGIg0WU06Q0rTvGe6OzZUnWWE1Dde2CFXim+/PVtWb4z3qLDQD/Baua9DAD/t7p+s1wLGEnFhGCEpVAKrAjVbnNCg9+XuVOvgKQ5HNgpIYTAcUjBjlev34jV6ZtmDxPZD2aO3z/yMjc4paeSJNXQSAwlc1CAyoMHBSTVmQSFsESmqFN9E6SNGfC1iZkTIBIjJYh+nIjQFlQS4E9qBdIjuuZ07+uciIBLVakgUn2TQ2or67FZyZ2Z/aVWzCeN0akAKuFohqw6rIGnOwal0Ydn+9hPULKGHNkzH+TAlMBKSMbIL0mmMwNDDDUirIXuRbcp0wDk9BJwN2OAe/fILvvf8dfPHJF8i54NEb55B0hn/49Nf44Ef/MQ7jT7AbXsO1FAwi1XXi934M6xPw+RT4j+bCkUQDqyj9/SgggJJBZJChjI4V/M3B9goAUEYeBZSATNYNja51LTnX+80QQLhj4vphqOvllpn4fRXpFmzNzefvh7snFcOI1Npq8HagJMjsltl+NYa10VenzSK4B3L3yVTzORYgLChguQLLFShBN4MOzlAY4ViY5Uzffdt+vlaSLwAVddOEuoQjo151Z9XA6kIcwtMhmVkbkwRffBRMU6382IvcfP2pxjE87jB3TdjmldEG7kcsFZogupk87z6OS9dMt5QIIgzmApD63pFI/fSejbMTCA+gcgI+vEC5fopff/wxTs7P8M47b+F73/surq5HXB4Ass5lIgUpAenIfXBtP3OLlSy5k6brWNfLe/rqFTFqF51wH7lzK7kWz1BhOSQNwnonB4/F+L1+lQQAPyYeOyW/r9G9p/GI6IYjcAnPu8zjGBt9fdoEwX3QApNbM5MB9wWrvS9p1OBdYBjqOk3wlM9Us3+CFuwBXb9Oij72ZZ99+9vP4yBqPbtyy2Xmaw/FXtPm8FOaZozELVuWi6OzxmrkmzQ//z3HeYVjY+B55kMPxDxC035FGXbyat95rQIRI6cTJCTsBkGSK/zs57/A64/fxLvvvosnT57g+YsrFE44PT3FMKh2PaS41uvzIQpwFgsxAUZgnoIqAJuwjPtOA+ZF18QB5Izxaumjp6v2jsivwnjXjuniStJSg9u9TiDqrWa3At1yPNa7YqOvRpsguCdyP/9N5K8ckRb2uOuoMvTIYMPnaSrotMtVH8y7VSnV8jw8cOnaYSj1b/7qZK6VhhnzKjGC6Of25i89Omqb+xKDIaIuLlGB5ibQxpKo86XX71eC16vjlRGAFoddvnyC9979Fi4vriEieP31R3j27BmePH8ORsbJ/mx2T1+VPAto7bfj1O59u2dqQRVzBbZ4RTJhcBsL8va0FiO4zXpMEwmqMrEJgzulLUZwD+SQB50ZvqYhpfBgywCRAqZknbTsBWYP8HGFsBbT8hMAIeq0VqoBweAaEICohIBozAaJB5uvfAFvXhkrzH0SfhDx5L56qumL3/bF7PvmE/c1Uad8kWYhCNyHrPWqM2aONKu2lVIqzHRB68MsWGD8KbcgvccWrK9BQmPGWYArKdhjQOEL8PUT/Ff/9J/j7//23+DXv/kY3/3ed/DTn/4U/+5nT3Hy2hsY9qfad6JYHOIIfy1JywCr5RIE4DTLd57NowHVej/8I7kQaHUo9RNlaJc8AZiwI12Z7DERdkVlntI5XcPb0GLyhA+fgEJiQqj9rjKUwAwk9ZfOgyYbfW3aBME9kPZmulll8ZdZAEAIir1OC0emWnXbXiKpTE0ZYDObKaQ4ov62/vJ0TJUmL6q0uSSt/4W/q/XFnhQYAUAxkDUHmau/L6SFsufGhzEQ+b79edfIhUDMtpHCNc4wLaKKc1/yYRORR6LrfN2mGoZBLTIhfOutb4EEePToEZ4+fYqHw2mLkejlzZfvWTfHLTMmIJaztR5f83FPPweeWo89+Lz0ITP1gAHa6RoTVT6v98nvj63jDS6/JVpywS1mt9mzqvdOBV8eCFxUkfF11OriE3intfbMb3RXtAmCe6AdtNuYp/g1drbi2rDvCYQB1LIvqnYtxmzNDRJ+pAIMQpDSGNrBFKeSXSQJMApyQT2HjsoshOqT5crgPQ7BIqqhA3C2pMVs2lIQNEIDi5ZFQnaeNGiwFW6hWK1BBQ3T/YhIxy89uLDHDgBrcEMujAz2oUzgk8lH2JgXDSoMiDIGAIVYGZzn0IsKsUQ6H3Vvkf9QqRTjlEkbyYyHAtALnNGAv/izf4z/+y//V/zXf/ZP8D//i/8Nnz8a8NZ774JywbC/wkGe4eysYMAe5fIFdq8NkFFPzimppu7B/sGtH3XTIAqwKkyVMbqPX91iEprXmGUG7ZHs0R5KhJYZpc+EFBPytFOrEgWZgEEAFgGTgIjNmvBHwHtIhJRdty7RN1ny8XXKSbi/bZ/2/QhCQcHghmoBCDlkLOh7chtFa6Pb0xYjuAdKluniQdT7fGSXfK/xN9iLmfKyq2ZJy5v5Y6vGPHXi2P4TaIGpdeC0ptV7ta1nSfnf0zz5KQhf3GKQuQaboXELH7/ykuWK4S6WMMmQiddRgXWCISVcvnyGYUj49a++wG6fcXl5iU8++cQA5pLFbID9fl+to+l145r0QWFevLaIGIIoIUJ1K+5SROZcThCI1/PYSh0LQXsxTNY5hbHcFa2tt9+nGAtYjgdsPQnukjZBcA9US/UdAE3mTHr68HdU/aTT7fZElJGRK1PMOdeXqgjDG5gwnMFzCMp6hsakoY31pdTsvmTY/x6M7KtNhYHEhFRTbwCSeYBQNcqW5uqpriJlxgTWMpNuylBJQshISMjaHvIWDG1JEPj3edhjx1egw5f43//P/wvlao9nz57inXffwj/86mN88N0P8fzlJXb7U4gQXnvtMYgLUkbV3KfCmEglXQ8nEu/9pJLXXIMxSaBzt03Sd+OcamMbu3ax74tmAKOYdZZIMIhbYgyBFhMWg5OImWNrKaJi8QedW+q2mO3k91Y7XzbJ782FvLK4QnSswIlv9NVoEwT3QPWFM+Z9n/5MDf4CMJeSCGpDFrAYjo+/QP0YnfrxWfGVNG2s4g5Rn8O9zlCTYugYV0vuA56knx7rLlavETT86biX/l48R2S6K7uvCuWl86VrXD59gt/94G08f3ZAysCTJ1/gW996E0WAb711BhbSADYz9sOu4TIdOX/VhLtA/XKfr1pTYDUT6lqMnfEarMja3OLaK06RdzgjCKWGbEq90lLTOAPUSDe2r2g5qBWnhWPZ/kdAKm2D3YTAXdMmCO6BJCfANo8RTF/E4+lzk2Ip4glzCNeS6Utqwqeo5pcNWCxqoktuHBUG8XFIVaAwLwOSQdzv7Oplz8CIFFTNXT5YcTF4a01hCiigqQNO84yd6TyrTzrs55vy3iAEWIAyFx5LAeOpFRCtA5bP8XC3w5//Z38Mlod4cf0Mn/72N/jww+/jww8/RCJAkrqlrq9GDMMAYYajlk7vXVwJBxqEdyhbufeZCFnQ1RsIJ90EgGRQCAFO73m1GKjdj5HNNRSOySDknMNzooVstftZuJVTq+QminAfS+ueQRNlofVy2LCG7pa2YPE9UOK+P5PyWGdcpkUJQJQUksGqkAvUZdN89BYstbPUDgeu3UvCIWco04VFgvWnbAylaM4lgOaWcMgGjAzVW939k6rpnzXebXlCCRAGSwsyR7RQIQK7CZEATTq07CLqGW9JI5K5rGBMvzJ1y/sfkte2zl/2xpwdIqM0Rk6oFd0ZBBo1U54nsZEahJ5p54zY1yFlLbPSaWXFyucCwineeesMh/ECu/M9Hl9/GyfYoVwXvP3+G8gAXl5c4fz8HOPLS5w+3OPwnPGiCB4z4cXOBRuBLEAPBOdfFQYaPCVSGGtiD7y3sQt7SijBb6sea4LfXS62Plz3oVqMJrAMnsFQVZFBwtijgJIirDJliGhPBGJP82xeHMc2Us8iVXdVklY0NlVGmMe21h5M5gIkshRssaA2mzTQLUlYo43uhDZBcC801+CS52SL+9j1Yd8RDM9FfaBM2pBEaaJdCVAbdRhlY1wuB1x9UuYqNRmVkFFkXAwmt2Bk1PpjXEKvUZujiFSmLUQzTRoA2P0K1Ec3klUQN/GEGkSt7hNnGD4S+1AQXCKVuUcgpmZ9sc1rmsXS1qYPSC4GzVnnm7XHJA48Yp8FJ6ngP/9nP8T/8i8+wrPn/4DvPH4Hj15/hJ//6ld4//33ccXA2dkZRASXl5c126emkU7kjz8t2YK35GMTQB8Zy9qn+s9iAkJkrHpPAUj/NIb+Qv1cTY63lGOPJwGgjAEJhaD+fcyFNJkQEGrjX3LnrScMNIsL0u55som3zKK0mGC90dejTax+UySpBTsrHnxLL60K8iucrzIFf+n7HZYPW3CLxO9bauncfVUribGcGbQUNJxebxFDdSW7Je47zRqazSFANlccfmB2TrFAaM2WObLmhFzTNDU+UpCGhOtnL3B1GPHppy9AZcDb757g8aPX8cknn+DB6RmuLzUtl4VwfX1dXSsRYyktjC9m8GDyOQqt2dwDTd2ESw7FKd5QPRenVnRXMX9a3CIJa1VycNEsnaeb3y3d+TMBwU2AL7ubNtZ1l7St5jdIMf8/W653ZIKOueM0ZapM3CIHxhj1HYkvkb2oIRXT/fyRuvNa9pCQop2lgSA41HM5RcjqlLRJTRGuDWt8jgUyG7tTh5FTx1LgOD9x8ys7L24gaarxSxh73G+JIrCv0I8AACAASURBVHOMWVDHYjWSBMioQGe7TJDxALx4gn/5L3+F4THh8tkJPvjgHEwJP/mbv8OLF89wdXWF8cBIeYdnz55hv9/pvYACBFbEWV+TkAo6DaDHGI7Db5TUz2dtvn7Pl4Lya8IAQFc3oNlJsOweRhZGMmtwmssfYwZ+j3V8BqRuGE7TeFGch3ZLCPElEzzzuW7po3dJmyC4F0qzrfrlp8EwcXgGNAAxo9tmsTRqL4ek1vCjMvqVc81y/z04OQlSOtTCNHi6FGhdqgGYNi9ZmmeXNz9lilMtdCFIHsd62zTRNQFSMGqE2tYh04DD5QEffu9tfP7FBfK+4PQU2KfX8cWXT3E4FFy8fFkb3QAJpQiGYTiKIeVzXHTZvELwVQyyOW5LFk8UxMvQJPabZwhRrlZgMiG9yjiCZbaW4bWqJCyl1OpA1KVWW4hGt+VGd0GbILgXYlAqoFQMalcDfUmMr8A3nrR1hKXKef6+4lELMUoKaKQVVjr691taHwDNwrEXm2xLIH2pRkYqzXWQTdPzvG4u5h/mlgmi/mtPS1TsFymmPcoOiXZaF83UbbXAC4xMArHga83xB2uTdqAFfCeZQJkTUtFNa6+HCtUNBNcFTGM1BNFctPFL0zaN2VkW1EgCzg1BNbbmLAnIdIqrwwE02DqPjN3l5/jzf/qHkPM9LscH+N3vPsSQGH/3i5/i9PwxfvmrFxheO8NBgXrw/NkOJ6cHnO9eA48CSqWhmvr9DIy5QJDF4gW7pHDaaFDcni46rfGgJOoutM3ty0QCCjUiXifi9zF5T2Brd6kYUzqyIhkHTjhY1fpAjF0qSFTqevq9JdtSoU6op4k2v2yJAt4CdYT2xY6ZalVJsXUrSVt4bnR3tAmCe6IK8yvHtZfeNz//3j+vtSecuTsCzbXJuaXij8AsdoCQMsiMkY+Z4jdjxC/FAET0pe8YMdBpletzWSd3i1RmWztoQYPbZm1E5rhkWYwoGIYB48jYpQxBwfvffgfPnl/W1NrTvaYAPX3yErvdDleHa5QRyGmHmhFFFDCH1l1/Pve47mtrGc+hH5Zf5VezKI+T10bMnrUggL4uVUwtEw7RZRb32SAm7pY2QXAPVINsTJgWYYW9ACieS/xGjzef94om1V9rHthdM7uJHOtd7RH/LIr7jKgpui/nmJCp1gjGwFH1rfUccSdvi5lAXatGQBl0mbiQ1oQBWUqhwynXxvdFN69FYCSMqfmtJREopxrPkNQ07KGsMEu6RikFA5/g6uISD04J/+Vf/Bj/x1/+BEgZ+0Hw/jtv4uHZKT75+Bne/c47OIyXIALSsMN1IVxea6bWyfkZfDkWM5QWgsaxKUzUjtu+DVJiKTPqmBAQjWbXoOzRfQlgaIKDI+sSrkFUQHUMCSJpFv/xuR2b87TGoaaXEsCZUHJLR/U1GWhjXXdJW/rofxCavnQSqicTGJoGWFMjPW6wwBzXqL6MazzuiIbtKXw+nrVj6zlqplFLPfQYtrut2sE2rGjyW+BXwjk9duLUBJ5/s26hxACrwALzArBNpYOqMFddHXe9gO+UMFBC2hGePvkcly8P+PTzF8gPHiNxwfnpCXbDCRLt8MYbr4HLM1DWQLMQYRxHTQkeGpqmpFmtrFkO7bPAmtpP7qOPd54PtMYY19fJcbBEjmdPAVYRTda9zG43wYD6LKM5TdYSUPlMrzA2VSwmcTIAWSR8T0cTAzZ6ddrE6r3QRHvu/Dr+2bN7GlYL0DD1Z/n+a1eKzHTBzRS1saU0Tf2+txRUo29AcjEz58aZm+9+qVVltBBiMFhr0EJWzwJUtdNMc12ovI1uhQhg5hbAmqttum6FWauCccCD8wHPnn6Gj376c7DsIFIwHi7w8PwUhzIi5xM8fv0hHjw4UWFlLp7DqP70vBsA8EKu/9wlGNd66TmYu4zWX+O1YHqN06we2RNT6ixUHUu77prr8ti44v9LSQdAENR+zerm22IEd0mbRXAPpC+4VfyC+yAugKoJESvXdEhfD34mAx+zF1VkXRhM3UFrMoOq1r7029Br4AQk0eb1RAA5A+e50BER5GFnGqoFsYnh+PtE/UufgVrpC3v5SYL2G5hTB61c51kW12OgobotxNbM56sQDC0wmcXugMcmiLRCNyyPAEhpQBkLTocRX/z21/jRP/oh/u2//ls8ePMdsBD4cIl33vkWfvK3fwPKA95+7w28vPoNXl4ASAXX44jLwzWEgN1uB08RZtYGQ8kazYu7ydQMsB4OFtgOigFRg4ZoQrXFeF4ljuJuNs0GUs19NassCZjVatVyLoPJRkISLy1zl5FaX8csjOoS9KroUFAo0iDQsysuIMAKJ6sLcUsfvVPaBME9UEruDkmV4SR/+K37lvrBE1JRBk0JWl4PmBpETQ93huVBTU6aiUSax++kdQP+B2tBlNURKGPuA8POXIqMleEk89FwsipoAUgUxoFlotEb8+EyBu1Wg4ZuxlehIZr6VyYOZCLC6C4R0+CZ2dI/rceBeIbUQrWwjYlNzinmjgsAscUzNmVCR0zYUBC4Q0oNtoHcergG0ZvA9aegp8Af/u4j/PtfFGRmPDh/gCdfXCIT8NkXBzx8fAraMR49eheX4wjmR0i7K1y8vES+zhhODqDDBcrj97Ardh8AjCJqPYDA5lnTPgLaoIalX8cuS8jmpM9cbnUDUShIS1tt1qdmEXGyOoGQshyz0CrJoPAmpPeBhTGYIIFo3OeQ7P7W+07Q7Dndz9+H+OwIa+C5FMtMy7v6DswtGc+Cs77Kr+Am3ehm2gTBPVDv/0Z9gAXuC1ZNikMHrkhRC75J04tBswjEJcHP726ZUjiMKzKYVtxTcXnC9ZWxL/tzp/Ne+k0/u1ujVA3Q12Ma5FQGvxTk0Cbwy9fUuXPgEVP9dsrgamyCl8+Z6QylfA4cBL//h9/G6YM3cfrwOa7GA65ePsXjB6d4cXmFn//8l/j+9z/Ab379FOenezx/dl3PkyShXBc8PD9DQq4usKXr0U2O+ukxkrp7t0SzeI5/XrhXRxMS7DoVHCRcjkiLzRgpXM8Yt2FO6Nr35/UsqtasqHRuoOXn6RhY40ZflbYYwT1Q1GYc17+VjTktB2GJqEtrXKrEXaPbviBNezf1v/sO5oftkSmPpQbOr7sc31jSNqdCoP/++KQ7PHxq7ohjToPK9HxaEzeXu6ocvfRkz7h8/gwf/O67+OijX0OIIQIMYOwz4beff4nnLy/w+huv4fPPnuH8/BSHa3WNsTGtw+GAk92++fhpPqZXTYtvEIQ+j+NonK+SRjrPVOPJM63avYggV8VB6zh6VNA0O2cdP5FawdSuMaVjmUYb3S1tguAeqH9pmvJVISYcR8UakThSp4uK6Yt47CUukAo94Hnynqc4DcS1PHZve2lVol72b9VfTGxjNShk2IOy1AYsRZhp1QQjs58zAIVnZgZa85s5Lb/w4byuZSYCcsttj8LgJubnaaUxbz1ed0iMgYEf//H7ePz6A/zrf/sPuL4G0nCKcvEFPvzO2/jJT38GJo0P/PIXz/Dg0UP89rMLc0VpqdXzl5c4ffDQIDnGOu5O8BMhc1tWn8M6eR/kFtRvkCBti89iLNK6aW3W7p/fszHAjWTSLQVp1q7TB4G75IWq5PCqsjNNdoj/b3R3tAmCe6CpGUs0TXdbd6lMv7uNMPDfp5pt76KSxX1jxo2IVB9vxIJJOH79KWNZcj9N91sbV/ytZ4VzJtAqdMXE4bTT2e1IJv7mynxoBPGAH/zgXfztTz7C7vQxIHtAEsrVJb7z7ffw2edfgiijlBEvnh+Qc8bVZTF/vQZUD2XUnhAwHKYFa+RVX8Tmcjx+9DQzKf4998OvnWQpaD+/5957YprFdetrrvTccFp6jja6G9oEwb2Qg755Jo1uRAxKo/4vDBIKcYL2otV0TvEA71TDl1rI6fu2TCUjbyZfXx7MGsxowI5AFpx0oyCmJzIzRvPiLjWn6RkNA4nBGBt4mHgzS65bG6MCE2jUMiGztjAU0uyQZIitKeVqzTiGkDPvzMAgrZAsiTa5cegE14RdKHpTlakrrICwowQS0aIzACfY4eXzj3Eo1/jrv/kIef8uePcSlAp+5/wUP/j+G/jyyQ5fPrvGJ58Lnl38Bg9Pd3j65ApFnoMoodCAq6uM3fmAYdhBDtbzQbgD5/N2kbWPA/fFY7FAT+fFE6baB/KXBAAASGFIYZTUCgiTaBHhksAgIkUltbVzW+M6JxyIUIQAyRhs/U4lIbM9C2jWpCoTCi7IKBBijFQwUmtJyrXR0bz63a/v79IW3Lxb2tbzm6bqa381GTzL5OhPunpMe7ld4DQrof6/dq0axFy4YtQGFwLesz4F05EmDVimLkDq19Xv3NucQgZSzG6aNrOPVlCnbU9dZR7vZKlQE4U5pLWqVZGzYuf88hefYtg9BuOpYjHJNc4fZjw434PlEkgDnj59pkIVMAtgAJMmCIzjWN2Dx+7j8Xt8ezrmOlkSDiYijp5zGtRvBpcyZxeuzPo81PstUYHx9fXrd3/W6xwbw2322+jVaRME90bO6BsD1u+iRpyAWRcuqS9I5Vj1PJEYQIbI2H9N7tIJLSRhMYAaGLbv/G0uZkmQn9fSMGGZL2ZxMEn1Z1dGywLkPnBJRF1nNP8OUMagqbTaGU2XJtsMCwDSBBUSlORNXBwHH905k2nO/q2zn5oN1MVFmkshEwECjGzWSiJgSJCRNYW0MHA44MVnv8F/8ic/wL/6q7/Da9/6ABd4CipnONsf8KMfvw1mIJ0W7Mtj/PSjXyDvT1AAPH/2Ekh7XB8GnKQBL19eIGf1r+ecq+U1XZvpGoqIBsNtgr1AnmYLLWeXdTiE4dwOd+4ClaAJAvX6Nwl/IpBkjFLAJMiSkGtGkRVKMoFIrZ2qlJgCoBlVOHq9tWv3897oLmhzDd0LxWVdemDD7102Tu+fP35e229aWbsC/qVZGr3vvPUInvvr2xX78cfK5ymekH9/G1LG0GoDKMUc+dud55h/fckvPXWXROeDjKW6xIaUsRsS+HCNH/7e+9idn2OEQOQBEnagwvjud9/Hb357gBDh9HSPlxcXICIcRuC6jABpUVjOOxwOB+x2bU7HGODU/x2hu4XmzPirkmYZ+bPDYJS+//AtTl1xnOwOMNLsGUqT/ZdoLuCWNtt3we210denTRDcK7WHVeDZKdb4Gy3DZcq4NfB56PzA7VYlzASJRJbmpUj6v/AA9obwYV/N5iCIOKx0yyxxTb+r8JR5AxivCF4MHAoqZHLcUqGK9slUwFQAKtB8+GIbAzRiYIOVRvMdxy5emnGFZhV4TCC4KmZ3hKhCHQtRPd9unzHkvRY1gZEI+PM//wN89ttr7B+/icssYDrFPl/i8strvPPwd/CXf/X/4MnTAd/7wVu4Gq/AKHj28jmuDpcYuWC332PIe1xeXGMfmHiXFjwZ45SRMgQltWY/de66wPV/BzecbrGr3Hzr18UhnqfprUsKglcWg7IeA417COmmz43ovfTMLHu+PMvN18Ip2XwjPLVvrxzg3uiVaBME3yQtqkQLWn5/kP576we/uWBqTwL7f/oSeZC5XmkSdNR9FtwNt8jeWPWDc2NQgKd5KvNXl06pFk62rTp+lhAnTQjkiQUwu+6UkVD/fQyQp6RAc+9993fw0U8/w+XVAYwBha6R0jUy7QAAX375JYR3ePDgVF1nAMZSUMoB49j6Q5dSZuO4S1q7Rzc9M19Fu17LGnIcopjKOj3/kqBaei6PXdv3W4Po3uir0RYjuAfSjB8HDjLNzT87EwYgMoJSDNxGTzdULwpBuhyKiGoFMOVun4jPox2r6hFhhIYaWTV8Acha1xBBuHQv78HGpXDN6rdmUt96BUZNAwCCFNUCE1rtgndHSylBUmAQklULJDLrQuMeLNZLIAQza269a9YEHYdPydZWHL9HDAIBpmka82cCsppklYoIipDBa4wYZMDTTz7BZ599gJ99/Avw2TtIkgA5QGiHdP0pfvHpFT7+5BnSyet4890TnO7OcTgUfP6parNDeoyRX4Ck4PpwgisAh5Fxkq4gvG/4SkQYmcEQJGRbx+b/HzxAAACiyJwiQJahYu4s4fMzNWyiGISuAeIk2niIbK0oIRtz5bpOaPdnImS9vsSrodketASG226KB6Qn8ydbCBhikDq6u8hwjBZcepptpPediDYY6jumbTXvhW7W3l1rummf+FJEvP6Jg2jl2Ph/Kzy6zbWPZbYAvZ97iRJQq06jO2J6/u46scGJtEyfNQtkeo65dXN7KqWgFEH+/9h7s2d7lqy+77Myq/beZ/zNv/u7873d9/YEdKsR0AxGgDBCLWHLIIQeJIfDfiL87gj/BXpThMJP1oPDoSc7HGEZWRghxKAGGnB30zT0AD3cvvP4G8+4h6rM5YfMrMqqXXufc2+fg8IRe0VU7Kl2VVZW1hq/ay1KShxGp7z86hsk8KsQoKz1Ys7u9ojXX3uIirK/sw94rAmWxPHpLPRdMCaWnBach5qQV9Af17rP67XklKUdkDqJco/62gDrOZvIrDyWdt06jRsnBupXrbNVQeGz1lsS4iLSugQ3dGG0mc/Lok7f36BJt3VhgtacPyjhoU+K7XBw84NRP+U/T/t35KUJzjyXaeMa6YFeFQD0BE1bso3MWgnnX8WoYtwCH0pdqKdWh8uYyjom90H8xyNbIIVQWMOjd17i5/7zH+SVN+9SjPfx0QCxYpgfH/P93/cUf/SF77J9bZtnn73F3XePUXVMRiWHh8eILQnoJMAaKu84mdcQC7MNubD6bpS+EtDfL89S9yhOTChouEQJh596/sacgRQ3ygICS4HrnvssH0dnJWXC2wk49bFYXrACrWhTfiLFn/otM5txJQHjtRNL0V7Wt7qNa+giaSMILpMGMyXP+108RL74e8/52fVpfO81Hucc/thBjb133hT0PWsE7szztXps341hjIGO+4yl90vj+wDCMyCgFKRma2y4desaZjSGoohjCiXFrdY8fmefee3wxnLj+oTTY4uvHTs7O8yrRWe8xhicV6qqOnMM63z2Q5aDqm/O4W2GLBq4/GU/vLR9H7R7Tzv/WyPos6gKOVMPwINwjnBdsZSJ0jwT7zfga3qB9U0/goulTYzgUij4us8k8WtN9L4mGAK/8Tfi+xUPqkaNrD1H/uB08xly5rvq/BBdUr3dhr6DyJAglCGOpf49BKuif65GYCZfOE1MIR9jf6wiAjqMn3+/pM6jZgFiePqpO0znp4zGW1TqA6N1NcZ4Sgt37uyHekxYtrYcJ48cdV2zt7fHfD6PPndF1OONUHvXNKhxAwxdJPn+02/ZPisvLZYIj0WqlGAlDLWJzM/VvqaYVHu+XpbL+vlK1kI6TxPDEYyXuPzbXJowDo1JfErKgj+PMAj3OaWuJRfUOQe6oXPRRhBcAmkmBFJo2Mea/uGhTdh5g9OkmfkIyWuZQ6LWLx8f0wQBZbWfPLzaFK5D1IVyABCTrELjHAD8PEL0TBOQK9Q22cGaECDJAoiBToejiGn/GmvrpJ4IDkViUBkrjctLMCEwrW3+g02MjCS0QmkKHzVWYwq0YY4WBAwOFJyNaUwuJtb5rDRC6r8Q7gCoYrUrTBqN13isKmMcP/Zjn+b//q1fR/Q5XLWgKhxWS0a24Onnb3PtyhZb24b56RZ2tMfrb7yG1pabN7Z58+0HqBHmekJZ7GLMHJWS+/cF4yylFFQqIdCdnPuqmM6YWqugFhcCy0iAZTYB3FbYqirqlALTzFnbTKh1/XXgAlH4hPO0eQAiqa6pD/0RRCDr6dyuMw33Strvg/C2YELAXzwYEUpxeASN692qAQUv3aZNyYoIaDYat2XzPHht1oEMusE29EFpIwgugYa0HBMkQKtBQYPVp6eRr8KWCyxZEOsgk6oaG4PQqFBDxx4y/522HcsSY10PFe2OYxWGP1Am0CIzyIVfi3oapmTtrD9Hf05agdkJyKYR1UJphen0lOPjY6qFRUtCw3sDEpD83L51jaMKjC1Rp8xmNVVVUYinLMsAG41B4bqu0TK5ZNzae9UZc64EnEPzTYAAdHneOwrF2YcaHMfg2kqdgDDZcKVxVwWhH9eMpGP4cMxOmZWuWdsR0kNuyd4a2dDF0CZGcAkkQ1uj5WVoGC9NkbGQNJWXc24DaGnLhUCnx3CjRbVbzuCD31gGyy2EDyHQJ1iMhq3ja/aK8aE9oaQEtPg/8eG/bbnhCBtVOj2CExn1jSspFKo0eBcYi3fDQeB8zHmhNtXY3zgLrJ/Hz96Wb243wxZmMcPUcz7/hS8j5ikWaqAosSgj43GzR/zkZz7En375Vcpim8Oj+7z2yl3EQGEcj92+zmxeU44nWBtgvSFBz8USGeF9Kv7XH2s+L6lUuYnWQPM9QYyuu87+/GncRIIlgpGm9HgQwJE/pzWRArW+7R+d/pfiHyERMWRP9xsspfvko/7uiecUxdImw3XdUyDYZu36xsJcUTxv4xu6UNoIgr82yh/YHLmzbHan93lgj+gDzjc1ww2/oX1gEiik7246c7QrrJK11PpZuhmj5/nrkADo/c+tsBHWIazOIyAAbKFMj4949unHufdwipTbuFQdVUKg2FUzSuDtdx6GazSOw4Mp43FJWRi2JiOcc/hYO8nGGkwp+9mwXL21T/lcpcxuYDALeWge+pS7g4YDv2uACkoHELCqvEifUedrL2XTN9eUIeZSC9KBM2f3K6Gdute4EQQXSxvX0F8Tmej/bBd+SsBpSzeo+FaDIlrmKrRZYb2HVg2qCY3SfRh9TOMXYkB3wOQOmqA050umulHIm4OHdH+hUKGOloaPLi1RxdgCV0fUDwYkRElUY0v7jIGAC1ZEMy+mI9CSa6E9ucZKOJlP30inaqklMRWG+QpdxpF88yFIG8hxnxs723zqk8/z8r1Tpm6KSIHzjkKDe206m/H6/Ye8+voBrphw5/Fr3HvnITv7u9zcusqoEGYLT1V6KmBswpwGiy+UrfADLqKG2RuN8YIGVNyieYZcesOXutI91rjBBFBHKj3dV0Ak3tcUjLciVKT8ALI4S8vIgzWbKRyxWF6AEAcr1UhsJ9qcLgcsWALU2WSCPazHYD11r7Ff42pD3xttZvMSaBmqlz+Qq/2h7wdSt9yqcPlc6+IO+XdDmrJkxzgPpHGVtjp4TQ1KKC2/D+bvPY9rJD9/404asBJUp9y8cQ11cwo7RqkDc/LdrO3Dw0O8U2bzUyZbJbPZDGNge3vS+sZjtnd+hUkL7pfCWGfRiciZiYP9a8z/39ln7TT5tfsszbHJBG/2/xwamo+rTVXoVUztFEwMPTzUd4XYUv+MNTGoDX1w2lgEl0KOJa3MFDHJpn3IvWqj7YuR1nWgMQgX/k16gIxmjJnQ6LuO5zKZvzVpcgXS5pNJLAts8nr9cV/vo2/WhNID6kjZtOH84SALUzc+axMtDqeK0SrGGFJgmji6mNWMj5cQrqulqOlHZEuYs+VyCCgU4SioJoYQrAJPjQpNSYukobqscY3ECqsNSFXAilJrsNC27Bxf7fHDn3mC3/ntbzMzC6TYgkWNyA5WDuHkmE999Dpf/MJ7mK0Sd1Tx0edu8+Y7U6Zac/1KyE6uvENZUMgILxXGhNhAaUd47+O8uaglh8fPxmv04pOZ1ly/pvVCz5JRCXEH8THruQV/BgYartU2Uygd4WTUNK4bEy0qq6mNfIwrpHwIbceQjFqTbEYTV6hJRw5jshHVhoBxMWBkijD3zqEEc9WLwWu8TgxKHcqCN2s/tz7AYEHhjBbNG3qftLEILoGS/zQFZ/ua97B23bZaXEdDqJC+q6FBaEQtKwUpV2lReW2kViProYTED45dRDpa3DB1YyLaE4jnoUab19CboAmsinT82IN+8t4pGkEctc3SCtXJMfNpwYNH96kXBcb6wHS8oxRDNT3iIy88x8MHB4xGBcVY2N3ZZzwe42sYj8fUdR16FEhBcnH46NlLQICmTILkbsIP5v8PPww9wrkdMhwnCEHk7ncpoDxk6aX5zucd2gB2c1/Fh6AvoVNcWhspCJ0C+1Y0W6c5dctPp/Wbn3PtfGzoA9FGEFwCOafN1jZp77oCGsaVuUUS0sZKeJT6feJTgNgLhIZ/y8x56CE+D7Kk/98wtqjtyfLj2j1mnjgEINSE574pKaxJi41tMdM5s8OcxzWWEFZqFC8eQ7AWhtw9hbQtDtUIYg1axFaYqtjCUFqDm065Wiz4D7/7Z2xducb25BbT0znGFmh9gs4qruxWfP/H7nBahWNfvbGNmAgX9SOu7F7BVQ5MibGjZqwQyzLbnuulEfjac5F056PzGjV4n1mJCaVFrGWUu9tEQla2WNMgfhohmM6R4fH76yihl9oha3Ndnq4w6CCMGgrj8Ti8Kk5BfbBSRDxGYrnypnCe71xrKmnibYt46ytXG7oY2giCS6Zz+bEFunVX2v/2jxVeIdf1hhlot4bL+ludMaPk5xXNKpd2x5XO2X2ftLeWQlBy+BpyeGt/js6DAEoVTRtGew6h53tCB0DUUZ3OeOH5OxycnOLtBO9rhBGLao4dKfOTYx67vR8C4MUIVWF3d4vpwlGWJbPZvLFKCjsKbjGVDuzTxEzjcO7WFTYkhDtw2953CTHW/bUtZte//nz/tE6S07HD+KVlvm3cJO2/THm8JYygj/LKrBIxoTqpmpBY1sRpMiSbDGv9eWOeDV0ebQTBJZC1dikgOKSxikjGLAXUIj7Uul/F2DqMo6dFds8T8gw0OmpTlu1SEFFDslNoeRniAWLCBh61QYtT3+1pkF/bULA3AC51SRhYWZHLMEBJ++tclwWxgblVMcaQM618S64fH8s8e+9xPpSMEBuyoK0YCmv41Kc/wtb1PWZ+hJNT1G1TTEpMUaGqfOZH/wb3jo8ptq5RyISPfPQFXvrOK2xtl9TzBYvFgrquA/lZUwAAIABJREFUseWIauGwMXs73IWAGBLaOE+4pm7J5eX7ks1zLsQ6091lpJ3vaAOuddbkKOUwJAGRCwrINX1tQAONZeCHA7ep2mz33oaxeGNRCmosXi1OQoTLGIOxNAqEarfhTijjEZvdx/M55zoB5A1dDG2CxZdADXPUyPTEh7aQCqkaaXhgPFZj+QVC2r8UoGrjPgF73j7YRfdh1bZMgDFtUpd4RXvwOlWlNlETNbH2fuxBrJqEhMFrcO8YUt17n8J+kILBcThNd7KYHKSqeEJDllJt5rbQaMZ4qgwo72O5iQZ00tdmvU/pd439Iy7sY5UQkPRKLcGCaXhidDmkY6SRS6yI4BclZQFqLcgDPvMDN3n3YYUd7TGfzSmlYGRr3GzO9vgGdusNHr99jW996x4Ls0DciP3JIw4PPJWvKMwR0/oaIylQa7Eo3oQqnFVV4TwpUBBjGiXqNRYj9SEUbw3iYs9kEwO1RqidDwFXba9LOsAAYimQooGfhmkMTNz6nDHHdRe17FQmvI79H+JKCXMuEbOQrR/JsseX4lJphcTb7bM/e+8DTNiHsVojTXBBYhc6D9RiqX0AIwQrymBSQqIZXiMbuhjaWASXQstm7hC1WmFy97TB2r6rJO3flrJuLYo2cYdQw8YOnzcFsC1DrpfEsKPW6AasmYwx9IOQSzOQtDbJrZTYjD5mMp+VaKaqS0Xa+tR3JfStlv6+IgLjioVzGH1EfQAf+tAL/O7n/pjpaY16y2IR6hZZW7KYTfn4x15k28IXv/xVyhEsqilVXXB0egJe2NsZcXI8DXEh9VSujv0NXCzDbBiNSgprB8fVzFkcY2MJuW72cdC8+/dBm0zlZPm0fvbuGspBDCnJDa9YT2dr21vGzJLMMjkPI+6OOQWY25iI15hfogoqGGObeRoXJdbaThZ899irQQEb+uC0sQguk3JzvelLECgsZAPiSGhxH1EVAT7XXegBneOXHg6NLoeAkJSBgF1LfcarGpOEUJbbQK5IYutRbq/kLov2cNK9FI0dxGR4TN8LdYSnkhWq6/7udIZIQWkqTk9q7t57yHTmkD2LKQqoNUAaa8dWYXj6yds8nMLR8RzdqZjP58ymjvm8QlW4slWiGhrQGCliqYQAb5VoBQbGpm2GcD9eoWTlG2I/Zg2JgGka1123j1YAxDWhy8yyv3bSLeojMdvQfza+3nHWophSsb9oDYrJLENiuRSfxhMDxSKxEB4dQTd8lnzVbegiaCMILoFaTd90HoDu79Gt4sDa5MtXQiP3gN9vrITmoUvHaY/VNJindTGJyOBjon0hkblSAtsMSVTeh5iCRiRKQpd3OoylsWXHCVh4GtdSfhqNjKkpS6A07Q5Xkmmhoau6UiXmlpKVTdRm0zTpkvAN34up8EdTnr494Xf+4CtsX7/NUWWxCOXIMq8cpbX4+QGfePH7+f0//iazehzuWz3lnbeOMKZgPq945uOPsTMecffBAyqFGkG8YNRgi7AGEkPXJbbbUgqMGo1ZHJI55bR7DZo0Y6G5/2TWQlOmvEe5Kye3nGwmJDI8UzPHq4LZ/fvQWmQ01mtyZ2n0G7lovpYS3JGhkmlwg3rflurOLYt097vNnTZ0UbRxDV0GDaJYNNuk2RKiJ2lHuQbed3EMmcoJWtp8XkJvrN63g85JqA2TuVbWIIXS55UpBBGBtIQG8tl1+eEg79B1nxcymCNdVv3PSoHg8HP42Mdvs9ASjfdAU5KbDT78xeyYqob37j0AGeMdlNZw9PCYoihQhP39Xba2tjg5nlLrQCBVwZi2eNy6saf/AG2gNvt9KNM4n6vO/TBdt1I+Fw2sNwWM6a6+pvVkb8i5m2j4Gtp1H9xQq6+zO09RlIksuaTyOVn1eUPfG20sgkug0lu8aRsrBgsgIYmSZhgil0YkuoTyHgF5DfluMlaunYkINlkdqkhH+00PZPvQeXrlIjSdIzF9i7rAtGI/+zDeFDewvWY70kYUc6EQYgzxerN9wmeL+grTZFKD2haR1HXvtO6ppvF8YpI+WQrafG7OJzHwninFIoKN/xmZI4Rtnnlmizt3bjKaHHLix4DDISy8YFSZH824sj3ltdcf8N03T2HvGvXpgpuPjXn3rTmja57ZbMHezlV2J1u88/XXqd2E8aik8lUAAGhBOa7BgcoMkSshD0K6TWoMIcHNCzghuFNchJyqiSFcCQXc1AAxjkGs9Ol9J/aT7kWTVaBN3m/IJg6mRIzjDDPd5pVQGiP0A6Bj4WQLLp4vlp9eYUV0LAeTMtBB1AWUkvGoi9doEvItrzVk8tNt6IJoYxH8J6OeW6TjJjGD25AW9EGDZqsCqsM7r18m6TiDncoGtNpESQPtQyWH/tc/Rvq9LRvRMq8+oqX/ua6Uwhhe/PCzvPXmXWRUoJqyuj3eV1hxiKu4fesmDx4esFgENNRsdsqNq1fxWiNiuLq/Q107EKGu65hVHCgguboM9qxgdv/z4PyJ71YmfR/W0tAc9udv6X/SfxVcDOT3t/49Pes+9q83UO6cWl4Xm0DxxdNGEFwytaZ184iETUI8oPvctb7QVfS9msT9B+n9PFT9TOe+q6kzTkPj2D4v2mRIGOTjSxj8Pvl4qv626hzCGOqaJx6/zcuvvhOavotHxIHUIdMVxeqMx2/d5L27D3ESums5X3H9+vUAg7SW69f2mE0XgGU2r8hbcap0ryUx9hwH3xdSSatv3EjatQg777OYz/qicsNznI/hLGHSYfKyesvPcxbT7li7WX6JSKiJlag/R/33G/reaSMILoG8aR+YgV/pe2TPq9ENa23D1sMQtRnGPUtjkImmBy1qZ2oauGGzT/Y+MV4bK800TXYSsLw3blVtmEcDjczKB0jEHaakq0YD9i0DHNJwE5NdF1/ZLfc4vvsKX/6Lb/Dufc9xXWEZo77E+BETGVHWyu0rjmefuMmrrz9ivHOTWj1744LHH7/OaGeEmBHPPXONV199k8OTBUfTCjVCFaGjCYKbmtQURcgD6ZdJSONOwfi8nk97HSlzO0KInW+uVXpzchaTTEKpH+AdIpHYmy1j9qH9aCwf3t8G7uk6cir4rI+FQShKsFYx1ifoFCLaNNPJGzht6GJoIwguiZaFwACDliE0vqzZBs5zTlP5vMKmS6tRPYOujfyrTnnhlqH1A6B5s5N8rOkYalrGnpeETvs1DGrIvZQYVxYYVYHF9JC9Pcvrbxyi5RZgYsKfNEls4jy3b2yzvTPieFajBGz72BrGZQlGqKqKq3slDx884uhk3sBGxZrGRZRbAnkjl/MEP/sB7w6gwKZ8gJ4FcU46z3o4z+/9fVbVLlpHjRAnxRkkVsldViDOO/YNvT/aCIJLoGH2mZh5JhAas394wfdpHbJmiDGv8kMPoUjWX0Wsg5Qx1m4BtOGx9iuWdtwSkqCmy37z9OoyLd97HxK0aEsZdK2H7tb4s7Njp31PD9/m7372J7h7WKJbY0odgThs4TC2xsiC0tZ8/OPPMjs9wjHGjLZwzvGhp5/k8OgR460RdeWZTOD+/Ye8+94D1JTULlbXLLuxAmg7lvXJGNNYDY0wjRm1zoAzofBa2BRvteOKMbGV6OA9WHVv1vwO3bWYILlNopnSFJnrb0AsT94mua0izdpSOh+zwH2weMIWSkvk7UnTuDeuoYulDWroEij4oQPTDwvWIL2mHS3eW2iDYsNBzkSpfr33LiSdiUdSPR0CkkJsYDqeGjA4hdTqz9o0nlSGuer577sJcJr5p0UMPvPbtnh9CX2Hs0MoMUaQfPrZOWpqjEhTriDVCsJrxJsH1IwjlEBQ31pExkiTfSupUmUs4NZUeE019EUAi3dVYLKuYncyYjqdMt7Z4erVq2xPxizkBCc3KHSKugKVU9TvcfLobUp9ktoVFFu7TBd32R3f4upjC+6+N8O5KW5hOZ1WaK0cL2bYyYTClLjaUcsCW45gHq97Mcc5R2HKZUYsqbsvzdpQMThAbGSuKWjauI9ctDKCdaJVjcXESrHa5H6oa+p34JNrUYMOomkue7GX0KahRYHZHs/N22a2az1815aWkI4R2xEsgBiDUx/GFQfjMRS2jq7AAiOhkq+6igYtJG0v6A1dHG0EwSVQCxVtvoEVmjN0H8L3ZfY2iWcSpAA0vuIiuSkaZhq0tO44V59Llz51/ddAk8Haqeq5dE29IGA/05jETLr5ouGapL2+TEgG4RWFZezUlj77zBXj3IJyNGE2nbK1NWZ6OqMsCv7BL/wEv/+5r+LHBdVij5G1eBlHE6dku3DMxPHw0SGu3MWWBWNjqKspzzzzIX77t/4SK4bpyUO+/hcPuXZ9j4ODw2A3aRiVUOCrULgvCN0w985VqOlZBhHK2SBkJFxP0JB7ykA2t50Yg9AmkUkeT2Jp3/PSuqzvITRTsvSAZXhpRj78YfC3UDKqXddB4HtcpyOfNAJxQxdDG9fQ/y+pdTH1XSS5P70tRKToCg1qlSBI/u684MAgPFTCb80W/QfLDEdWPfvdBunk+QjRquoVO8vH1Xf79Kt7eh90aaOG8WhEPZszsjVvvPUIjGDNNnhHLUnQGWanD3nisWsAvHfviIo6dDnzDucNhwcz5qdz9ve2OXo0ZXt7KyCH1DQB3FSQD1oY6erA6TBMeKgEc25R5jGZhtEnRqznQwP1/59O3AUWLNOQe+a8LptVSKNwDGlACHglZFAMuL36wnRD3xNtBMElUPSGZNt6M/b9PLDZv4AWz21FOptkxt7Qsc82rVsm0AZ6l/dqmHb2UAffv6Vlai1sso8cCq8hUaoWCXXrCa0XfQRyisRUOZFmTtMYk/WVM8YG2gq4umZ7awtfV9jqlMXxff7gj79OVewyr2YYBVfWOK/gF1gt0eo9fujTz/H4k0/xtb96mwU1xhRMD+7z4MEx04WwmE158fk7vPfWIU8//SSzhYIZsXB1dKspJqZ7FYXBa01Z2gYWGe5JmqOw5aicMK9+CarborJawZ/HbPJ7PVR3qq8w5CirnO2H+Rzg1L3jnPUddJmMRrefiwLf907hvAnxgpCOh7FCaQ1WHLGbQVCDNiGCC6WNILgEalr1pc9rGPyqh+n9IC46/08M0QikWjUiSIZY6f93XRB6abwrrYJA/dr2qxrTrLyeoe/OCIqvWsaiUIgB5xF1TE8OefbJO7x3t8KOR1gxOHdCpXV0SXhGtuCxx67g/IyDoyO8ltTqsWJR73jw4BHWFogIt25dQxixv79P6gQWAtemAx9OjLcZv/ileQ7xDlm6P6lkSOgg3a0+2nf3vF+Uz/p7LaAmy+5ePtZZx+5TnleRPvcpzZvP3ExePDZCRw0eo4qsgGRs6IPRJkZwCaQS3RG53zfHSjfPQvSNpxIOSGhq3h4pvuYPfChGF6yMoFUGN4AJweOY0OQk0+TzsTVMw3cYVFMXSEMT+xRUDueAkHHbjWWoBAalWYvBZvQxiGjDo4vXGodSakqiS+4cEBv2LwjYdOeV2genkI2hSCVaGmpQDc3nw/gdog5MES+jiTJgxbGYWez2HMdDzMzwsz97jf/z3zgWtUN1hDFCMa8xZYmrYbw758d/8KN87QuvUe/sU5WGwl+jco+4cuUqL7+0YLS7YL+8xe4Vz9bNAruzjxbC3C8wxQ7eu9CTFw0wUvVY8RjvGZsRJ9p97LwPAW8TA7i4dI8sdXTJpTWTArcqBHefSCwdoYhK957212UmjMKdSXMVvm+LvRHve2C2KVPYS7BI8g5nS4qItKW2jQpGFMVgouWalyVPgIOktwDUEoLGRsE7BVNjAVGPisbCGmD8hnVdJG1m87JIunC3lUFZ1SZCaohBww8AjQvnGLAQelraWVrbWZT/v30fIULh2/hb1kZT2taM3rsGdaI+MBfTK4HdQBWNrIix+1Brv4krmFCnpqnVlK5PAEdhwOgWTzyzzfGhC3zWpHo4INbgfIWYmmpWsTXa4+j4PtO5x9oCUxjEKZPJhINHh4z3LftXtjg8mCKUjCdFg1Jq3FhppN6DaeMg3vsOmqYdaxC8eX0kWHaBrCox3T3O+jW3ipZyAholYfkc62HH0vzJa1Ikhsea1A1PhAXD0j2PYa4YPI7NlDYWwYXSxjV0CdQm48dN6rX7d3yza/YbygFQDQXWHKGZTNssfrmEAHQZSCfwqqmYWc7UNXuf/PHtNhRMbNEq4ffGKjFgbNt5q7l2bX3GqgGLXiCUmNDk3BC7j4UCbF58AxHtBhzzGUxoqYLtXWV+MmW82OHHf+IZ/vgP36Y2Bm9t66+OFtbuxPHw3bf58he/w+PP7fPgaMpo6woicw7uH/LhD18HPKUxfPTjT/Ltbz6gKPbZ2hWsKcK5VbpaMcKkHAUNOMZ02izhdo2ILLvlVvnBNWrNPg8y9yq5Dq2ZdP9XKQurXEfdIP0ZCoR0O9qB4KCBriaLWHw3RqASYMNpnzgreDU4L03jmgKJ8IFNkOAiaSMILoH6D9Z5YwRn+eeHfPlLx44MfQjRMSRIulp9W+3zrLF2vtfuZgbEWd+S6COd8nG2FNiBmpZ5LvmmMz/28jWH2kAjY5kdPeLk5IT7B1VgpKk8QxSixsBiNuXGtQnf/vZLfOjF5/CmYL5wlFYZ2RE3b+5irWU+XyClcnK6YGtngnOONmekdx0+NF5xzrUWAasEcjuf/bk9i1okVXdbJRzWWY798b0fyzGPX3RgxZnPPyGScpeXj0K5pXhPe8rG0Nra0PdOG0FwGdSr6SOUa/ZtF79FzsRuLwV1JbqTCAlDKVt3SMD0v28zP7tonHafvATG6t4BobuZNK/51p4zHst0Ia6qSqFCoW1iUwoUJr80gMba+gXBn2mcYlywIGznnOmiDWhNVYfuYVeuHPG5P/gmfudK6D7mBUNo2xmqHdfMDhb8/N/5GLdu3cCUE3au3mDhLfPZAeNym50dz2R7zMnhjO++9DoLf8oTz17jnffuRysgwC4bH3gsATEqSgpjGY2CZdD0ajBts/agSbcPZAoM9ykv/JYoZ6hDQnad0BlaX316P8pKa1UCKA4f7ifk5ttSnar2GpLwAqeh0F+N4DTYugaP2dQaunDaCIJLoIQAUT3HgwOdKpLrrIdOz9m4rXLN9N/3NbwOiqVPZ3UOOwe1x11eYn1m1b+KPIAdhEcsNGa6gVNYYv/xAOFoxsB4tM3JyQm3Htvj4aM5ZpSyrMNrDqMdlVtcvTLh8cfvcHB4Sl17BEM5suxt71IYz3wxwwCHB6eI8Uy2LNPpvGMF5teYwzPT53y/i6Kz1tj70eoHET/nWcdALgQCeZbWaLq9mvWT6By6t257yKVuD+QNXQRtBMElUAh4pQdHeluLE/ciAWEkRHdOn2G3SKHcX9/uk7Qqk2mAUDeNPMJ/Gry5r1F18XMIbhoTrJUGwaMu4s/zBy00y8k1fo3+cPVtNi8E369RQjazGnzs1SyaN0Y3iDcYtUjU+oKuF5mCAa8VHhM07DqggdRL40KI4WcUi9dQNM5ryjfwWPWoeKrjN3j8esXf+OSn2LpyjYW6eMzAvL0xjIE9W/DZzz7PF//wdT72yVv8xZ8foOqwRji6P+eFj0949dUjLCc89tgOr7/uwFbcuvos9+/O8H6E0RKlbmIWUnuUGcWoAoTaLbClx/gCcRa0aF15mBC8zjT5IDRSwyLTWBxgQsOadHcEsCbmjoSYlKrDe8Wobbb0f1XJ4MXBD+/pKhB5lU8T0WwlJaJRAck60CW3VDh2H4ZsYjZI/gTENSQWzWJNwc1Hs3ZVtMklCVacaVB1ZmMRXChtBMF/amqCtNANzg74jhuTOBXkchF50XY06yevNUFL07qq+np0FC8dLX4oxrDKish12xa96aNG39s3lUs20mTO5sXrRGJA2ZrlYxIhiRoyNUJdnegqoZ2PcDWhrPPp0SkffvEZDg8dRbEdNHQjIDYgmFAsSjWdsr97lVdeep1RucfhQYX3AabqXMWVK1e4d/eQ2WzBE089ji1qBMt4POL4ZBrGaKSj2apqKOuRNaXvJvKdXYZ86PsWBJDPbeb31+EmRh+UhtbCeSmMo7uu2+9X/2c5ON0KmlSSekMXR5vpvBTS6Lo/+2EMfv3Wv7+qB/BKuCAtNLNvMSwzmKiJ9YPMkgJ5y4HMZpf8wRwYRb75gaDuOmqObU1TXlmMGUxUW/5zEjjtteRIp9IITz1+h7/6qzeQoiSkX9hQT19joTvnOLj/Hu+8eZ/ZbMGjRzPm8wgtlWAV7O/ucXD/lLquuXX7OpNti0iJKhwdnoK0FU9zV5/3dVNawvcCt2cx1CZr+gyffmM5Su6GWZ0IJhIzscm2M2JTw+ddvo7119RaqOtIVcn7LQeFIViESggzGLsJGl8kbfIILoGkYUZJ+15Dalb65NMDs64cRKs1dTVNzdxF4fehWjfaMBCJQeemiqkOBAnDCQPjkDbRy9IiPtr/tFZKfpwi5oRqPKYAGiuINvkFRkC1CSJCy6ykqWkUXFkqqQqpENIwQtRbRBhb4Yd++EUOHy545c17uL09xIxxzlEWBu9rKAzz4wM+9X3P8qU/+SqmXPCVr71NZTxi9sGc8OyTt5jPTjk+qrj9xHWkHCFmxvGB5+hkynThqLe1CYSKCMSP3nvKcsyicoGxG0OAivrM9WeC1aBx/OLjsTJnSibooYMxaO5j67pLhfiWdvxANBR0bsfRj28Ft2T7vYC4xupNlXDza+gAGJKVpARhjQRQgRc8nlo9Rg3litIXG/pgtLEILoPeT7C1s2//we+SJu94jjiJv7QP6nI9n2WYaRJUwbGSly0Irn3p/HdQ4+v91q9K2lzREtyz52aSFjnSjDXWtl+qgx9GGDbxiHE9X3VuCSmuXvDYY7u8/NJbbO1OcFQIRQs3leAy877mhY88jUrBzpUJ9+8fMdoRUIuq4/qNqzx6cB+DcOfxWxw8OsYWgrqCk5OTgGzP3Fv5tasRjLU4l8VROlp+Dn1t3TtBmBj6Hdfa303DeCHOxRl0Hk18EJk2cJxVmv9KGKr4M8+/bhwQ7pdmkNgNXRxtBMFlkNHQWcvUIat2Gd5NYN7tw9Fn1rnZ3xQl8xb1IciY3ofOWu2pRYS2MGMKHNbxN49Im8CUII4pCU2UBsrZVLHMLquSCm80bLGsROqM1bpuYgP45piKUQPGhkYksSCC4EAcYhy1Dc1XggAKyVGitu3ZEH3rTkPyl499CdQLuNAPQUTw8yAsvc7YscLJgykHsxO+9ea7VJNdCr1CoSeMt2oWzmCsZ3ti+cFPPcG9BzNOThd87Ac+zsPjmjlQyQHj0T4ffu5xXnvjTWRbefJDt/nyV16mnt3GmQe8/tp7oe9AhEOGIK2PAfACcRMKgaqesvAO6p2m/28SWMaAFVBRVEwIjApI4eI8py1vANOWuE5CQ4xpoJoWwfqsAK3pMmFDKNkQXHCKx1EQChbWFqp0T6QdZ1hHsTRJFHx94R3eC+IFqwYbrTrxbXxEvKK1i1ZsOK5qjfcVoiEhTdQjdY1RTxGvIfU4VgLAYEMXRxtBcBnkow/Wp37AGYRQW3/sRQT0jKXpgZso9922GuRwwHddULhPfYjkOuq7pXLNduW19Nwd+XG6GnResjllOseex1iMKZjP52yPa77z7VfZ2bkCzmOLoOXPTmYURhlbw+L0iOeffpa33noL72uuX7sZ8f4WWyiuVsRUzGcOV9WcHC+o62CFFEXBYrFAsFnAv32kkusnXf9Z89ZmG6f/r4/VrKN+Vc9VtNLiy851Hu07j281nedox5BnEA/luqTzraJmLclw8uCGvjfaCILLIC1BC0KRGY/iQvJTT3NPyVXN57MOmzGWdsu0xVTQi6zmToOpX77VOcQPDN7TbKgFbPuKbXz4qdY90fXhMjdT3y2Uxzm8951Ygon+324mbXJXrWKcKeBNZ/M+Ikl8gJsePniLn/vbz3P3HcXLJJ6/QmWbra3H0WpB6eDk0Xt859tv8s6793j6yT2uXb3OeH+CIpSFcHgwo6oOePDuDO8c3/naXZCSanHKzetXeHD/GDEloZubpZtUF8CTqQ1lXddL7qPufciZr+B9K+QbQbdmnahqA6/12ibjnVfhSGNresY3LrtgqeUwVusN1mcZzA2jj24yY0KbTTGoLRBT4K2EMhIGtBjOcF891lQ2RHAK9YqqqBv6YLSZzcsgHQgSi28qqHS381N4YPJmNLlAcCv8urkv+Xunoczn5JvvlhBYHvvqxiy9cwx8N2Tl5NcrIthYBtqIcHV3zK3bV5ns3UCK2JTeQu09J/Mqtjz0lCPLd195m+3tXZ5++hb37h3hJPTQxYPWM46Ojlgsara3Jzx6OKWwJYvFnL39HZzzTQC0L9TTZ2uDxVKrP+ccZPt0gsaabavnKL3P8zvOmsucJBMCK6kDe+7/FhPnsnXQZIjjViLAUj7Cci2rto6UlzPOvaEPRJvZvAQynYYiBvFtHfkmY2Ap+Hd+d0sSAu1rmzSWM8a2ZaZBcWe6FTrameRMJ2yp+1c+/qYcRDyso80PGDp+aiyfjzPXPpts4gxjP/TaH6/3FZWe4H2NRfnZn/6bfPFPv8uxd8xHx6iU4DwUCyajORNTMD18iV/+hz9PbS1ODR958Q5f+sLXmPopmBHlYsK4OOCNl+4xGnk+8QMfYVYrwhhXnfD8M89QFjss6lSGu92CP92B8xRi2nIepu/qainkQmQB+EzAnAeiaWK5jXSf3q/jsbE8COWuU+ZvLtjS5kRwkoEb8sA+PXSQi88CyWXqwLul6+h/HoqZQQu33tDF0UYQXAK1TIFGexl6+N+3n3NAC0ooImi17q7WuRyMHkavnOP0q+IKuEGBtkpzz2l1bSU/yPxpcjR6W5QkIoIthKeevMprr92DUjg8fkg5njCbzbBWmB/fY7uwfOr7P0w9O2VcWOraUxZwdHRErY6iGGGwFLZmelpTlsL+/m7TfMYYw/bOBGN7nCf9AAAgAElEQVQMzvW19NQwvu35kMcK1s4x69E/Z8VZJHs9z/oaigkAy27MbN+hNRMYvW/uZ79OUrIS+1DU/utZrq/GGthYBBdKmzyCSyA1gS0kbRcCIoSYyp8ERUDx1KRmMM1jHCK7oROThDK+4TAuvomMRzypNEV6frpeGd80EffeoBmzMmmQJGYqKBrdV1G2xOxf40POgKFo/uMbZdAhasOxFUxidDGo5zSYQUYVvMNQ4KMfORQf8I3WGYAtFmfCa4OqEpDG5x6+C6gcbdAwxntGsse4dJw8eoPf+03DMdsYJ+wXTzGfztie7KALx155jfnhQz78kx/jN37zj7DjHabHj/ja19/Fy7VQ4qKqeXT8Jh959hbf/vI3+JnP/iSvv3UfGcFMa67sFVzZM9TlDCt7eK/xHgREUMrkdji2JgWiFY7AwFzUnI0J8FSb7lHMAQg8UZrjhUuP+8QaDNqPoaTgrHckfzoQ+wFEZpvQOBLKYUsUqib6+itc6K8cVicmuiHVx9hPdDG6ZI16Rb1isfE+2DA+lLaFTHAdCqAuWI9igoWUykTkQiDllCQdVTRde5pf1y7aDV0YbcTqJdJ5tOQhzaZxeaTKlJ1krUyDy9phnkU56kY1uW9gSGkcshR8tmPfx9sP+q0KAqbxN7GEc+Rb9LXaxsUWXQ2pj6+qgHgW02NuXt/j1bfeoBiPSHV1xLa1jEpbsJi9y+svP2A6ExyWkprXXnvAZGeE+gm2cBhfcf3qNbCe67fv8Oprb4fuWRb29naoavBYnLZMb+iKkptOfVYRNHOnhWqi0lkLqsP5A/kx+/PU7pO5HJOrJv2SzmuGexQEqy2tq/yfZ9PQGPP7f5YrKIw8CYI8hvY+LecNvW/aCIJLIIntE8W3TbrV9/rWRh27W/+nS51AcMST598HSGI3sNYWJqPZpz1vPobQCMQJS0zJE75vHsNY+yft37lWaQuZ5ZtTj9OQT6BCcKlYk0EMVwuB1o0UoaFqlo6rqsHn7xV14bN3U2R2n7/9tz4NV6+i2NDy0hRN4hjiOXzwOj/1M5/gq197h6vXn+bwdM73vXiLt+4tmNkKcTuoThnLnI+/+CI/83d+ipdeus+DQ0ftoLA1z374Cd65ewx2F2d0cG4goKWMMdgmqSxoz53mOvE+tWXBk0XRdduk11VCwJhcKIffDAOuPNNreh/H04+/pGOvEu75eJrAuJg2QbHJrejCh1vgwDIUeKmXhtSkxk7rBOOGvjfaCIJLodZHDLnWHbS+bmP7rhBYXui+95pouQR1TkPomqaWkERXVZ+ypKM8oJs+N7/1PwtNAlna1o2ng5U3a8pnKA0jSUlJiZpEqeYaHaOx5eknb2PMAmdHAQabFdBLNf739wxPPPksxdYWlZ9DPeeJJ65jt8bMXY0VhzrY2x7jK8fV61d49c33GG3tg5SIr7i6v8uD+wd4tR3LJheq6boh04hjwbymdIbmcxOrrZ5hXeXz2bc680J0kgvzjHGu7HyGjZuApESzZcskP+eytdtFxbWunrMpzUFnvE1piiTo2tcNXRxtBMElUDdou2x+Axgp1kAJ2+9FQqawscMumHXU7VtALEuRMlIVtYQs4R5Th6glRkbrNNR4SRj182hjDQIlYt9bbdcvWQWrriNpkSlvQUSazOLEcJu50Bqh4id++NP89r//dWZagLMUYoJvelEzMsLICL/0S3+L3/jNP6CeQCWn7FnLk09fxW6XOFsCx5S6xQvPPcnrr7zKq2+8zMmpYstdTDFCqxlXr+zwzpv38M5S2NUFA3ONOoVPNFoy+JBnbSVk9C4nBrrOcXJLsB/kzffLiwfWEltx0gpWq3QsAN/c09T2J+wczu/PXHf559SJbdgtuBycXr4+CHkrprFsk5WwrNhs6KJoEyy+DDKj5UqTzUMRH1JC8CzEwXLG71FfB9M+Be60Rr1DpOi4diDECUJANTLaPHDsU2gtBNq8tlUnwVD6cASHhkCxMQgSXU5FiAsIUYu1GB8w4I0nWsCqoSZ0GVNVxPjoWuomtKW6F14Eqz6iUyVmioYROW0cU+Ha7AhU8FlNpWb24oU4E0KTE93l+L1XOJkdcXT4FHpthmeb2kNRGlBHqfDo7iPefOOQd+/usnXnBHGG558aM6uuY+UNRrJPzQKnx1zZ2eLk9ICvf/MhbF/jtHqI+BEsxrhaOThc4CcnyGIXT40hJDwFQV5hTQX2BMUFtxCG2pxgzTjMhXc4cvdKbiEKIkV7L/vaf8Zkm7WjISjbWAFCNDmCkDKEefe+pjBxLWlcKID6RRxLBBLEe1cb15QSUU0Zw0GgCwavHmkC1G0sigiIUImMvCgQUep4vsR8RAwBGGAw6pvFnbsPW0ESS6psUEMXShtBcAnU7Ut7VrBtWbNJz3YDNRTIcdlhn8QhaFxQ2RfNA90IjPiMZmyjfb9Cu0qWhPpcs+uOOwT3ou9fWlySxfaYV/i/a4Lk7bmXw8HpJw2jjJXpVLXNw0g+dh+Yn9UpV/Yn/Pbv/RHF1i0KGeHNGDGn4AuohaPTt/iBTz7Bb/3O59m/8RyLqmDbjvihH3qaz/3J1zidgxaekfWMjWHvyoQbN6/wpe+cMHeW8fYu1DOmR8e8e/8RlYbGQk49xqScDoMEUyXcoxjMNikD27QxnDxRqn8L+lpv3wW0Sh/ulDDUnC13M7hXuZVaGSNxXIrxFpHgUnIB+9QqNs0xtTlG173TLjqjy26zPgCiuY6elZo/RQHhdjEJkhsKtBGrl0R9fPTAHi1TTYx8jatEJOl6OZJCszhEdrzeGNL7VdvgufKespCVpdbs6V9usgLxYY//N1hMLE+R1+kfroOTM0izYqeWyajGYmfqmJ8+5Pmnn+DgtMZMxtRViCWrVog6DMLWBF74yBNcufkEC3eKYUQ1XzAaFdx/NGVrZ5e6XjCyHuYnfPSjL3L3wUOk2MKU28wWc0alsPBzHjw8BCnDHdE2kSuiZoMriNZNmFpjJuEcpj0x2/zau/R+3CBDrDGgq9L/U/3W5cZDQINS66yN2INYPI0glnim4LIbdtd0XEDZqbrxiWVkkEgbuBaRDrqp7zLd0MXRRhBcAp1HCKz5d3z1vYcxP173kR/yuy4hRdYwk6GHqi8owmt+jJ4QMNJujX93uSeCZb2/uc8Qm/PHwG/wrbdJSYLHesCd8sKHn6PY2mcRtVIpJbRWFKUUz0c+8gIHBwdIucVoa4TxBd4t8BXM5jWz2Yz93W38/IR6cYSxglKgtkTF4mpFXUVplIODI2xRYgpL1z2T3kShbrQRBCkQPESX5vNOpbnXHD5H/oQty/pdKpMOqOn2jVZPv2BeZ39WC4PudQ/Hq+K/Ovtt6GJpIwgukYaZXcbMJZT1DTvnVSeXkRbq2wBpvrXHzIXEBzObh9wF+bUMWw9B80+ljn2qk9/0w6WBKeatHPPqmMvok9xblQUNAUsbUDUKJaEL2X/2mU9x9PAe5e4tDuoZxlg8R5h6QqlCtXiH69dv8sd/+BJHc+V0pmxNCh48+Ev+/EuvYIxhYhUWj3Cn7/GLf/+n+Nzvf5vvvHIPLUsq6hC0Xyi3b1/l7bfuYc0W3tWB3XmHROGdtGpiv19jJMJHHbVPMRCHiMeYlFjYrTrabL373czl0P3Lvm9KnESkVPYLfWRSOmc3Y9c34/LiQ5BewMUe0U1/4WgpilGMhdQyNFsh7bu1lsHqa8mFQ7tONsLgImkjCC6ZhrDZ52XUS0JEhl0xZ/3/g5jR6//TurBSoHrVuRvNXdoM1++F+vOZUFHPPP0kr3z3ZWqnSGGp6xqDw8oIEWE6e8Sf/flX2d55DDCUxZh6ccqVqxMe3D+KTK3i6OAR/91/+1/xlT/7IrbY4vU37uK9Z7FYsD3ZYn48Y2dni7ryWFsCUIgJzqw1l2eRBkDQv5Z1c73KWjsv5XWvVtEq92B7f1M8KFDTa3rAaugfa0mhyH/uree0XvI+B0MotQ+6pje0mjaC4JKoLTrXRmtVApzPB90R08Di8qJlrfa9BBNM/Q3wMXEnlhvOfMxtghnRxK9RjQXnOlBAHWhYEn2/tn3fLBHJSkhHbVBVqTSUGg7nU8QHjTBBTROpKqKGWtrqkw6llnavhlmJBIioKqjDeAeqSJYQZ6QEbxiJ4/j+G3z3u2/x6n2lcjWlKygKwY4s2+UCW7/JP/nlX+B4PmY+NshCcafKyfFdfvrTP8qbDw+5c22b5x6/yT/9Rz/L//K//jrffO0h3377EXb/OtOqZlyMoVIcUz76/C1MsYW3FcaPQVzMDTGIOqwGFJX1grWC1wXFuKAoJs29yTXxJtlKHCqhGY2PjWPwrmnWEgK+gngbynQY22k806/57yWU+HA41OR1nlLiXyqdXYRxZe693AqxMS6U4h9GTbM+VDWACXo1gForx5EKIyZ3Z9OTQ1P5aoPYglqWrZ30HCUBkbYNfPRiaSMILoX62ooy5KQd8uPnrpnlLTYzbxLShoN+K+kMyF3rjx/WttZpp7nWmYRE8yH7b+pklW+J+qcdmouUFTsqQi0idXPKAr7z0ssU5QT1NkBqtcLMlHvvvMMPfeZjvPrGq2xNdpnP56Al44lweviQ3S3P1taYt177Os9/+Dn+93/9u1y9/RRFucd8XmFtEY8XAuiFFXa2dylGZdMvoEW/xHHTWivhGmIXOFmvfa+b53w+8vnOtxziuY4SAigdUxmOyw8FgFdp47nld9b15deSQBBr1/tG+7902sBHL4PUtG4QiT2GpWwfJKBt9AKt4AionBZFoo2/PFgJvnlwgp+XpaS0ph1giuvlniVND7PNgsC5i6Kgg/6JVsqwC0NaWGBe4TRets2KhzVZyumffXcB7e8df7BJuBriXGhzTdV8RinKw3df4R/9w8/yb/7d59m5ehu8RXCMxTP2O/zcL9/h9ZenfPNbh8zNmNHONjKCYrTgH//89/GJ2ydc+7lP8ubh9/G5z38Fs32De4dH3Lqxz8MHx5Q7ewGKGtFJN67vIMUO48kuh7MaXxicd5ioLpsIGa29A60p1VDYEWJGWFOEbIOBgH67LtLcxpr+jbWVQ5Jd1KhbpJiqRlMulI5OwmgV7Digf6RxvXgZRp2pKoUMKRCms197/GXlprVsk7WQymdodl01DqXQfv2sjRD466CNILgEarHRSe0yURjAECqmCdQ1PlMdZBZ9anDanc/DFKqIao8xtAKoHXMw+4eONaTxiQSXRNLsI+S/0YY1Jo+lqqvGLD/YuRBI5zBKklxBqjXaaZgn70PryWtXdri2N2GyfYVaiVU5PaUZcXDvbcrRPt/89juUkzvM62NUDeOJZzZX3n37W7z+pa9SXf8Jvvr6CXuPPc98Nsf6iqIocU4pVANf9ooUjhvX9zk8mobqp6kBSz7P5PV9klQ0Habcwb9kyoFr5nyd66N7z/sU88eCdaBDmn7yxacmL/F/Xhsm3q49Bs8lIpiO+da+97HvRWfEGfKsr1SEZvSuOUz3untW0sYbdGm0EQSXQdJmRwYGn2l0ZD+pIEaafcC2iBNYEgbG2MgTU/bvsmtoCFXRInSW+xTkx0//Sby3T6nvbtja70Nrwsz7JSCuiu9jP+E4VlGfJbL1jo/mhsbS+BI23xjDqLBYv+CzP//TfPmLfwQmCIJKp5TOc3BY8QOffIxf+9ff4MqNmzgWlHaB+BHz03tcu/oJ/tn/9D8ymTp+7r//ZeT6A6auoiwM7thz/dod3n3nlVAaA49zc8qJ5fkPP8HXvv4m86rCqeC8Z1SUKILE++JQCmsRE8ZubYHK6kqxzZz2rjUw7IGJQpuErsbOyoRxkxkMeN/e28CIYxMjMW3vbIiJe8k16OM9kzRA+nKp03im8+My4i3FvMLalKYAY8hb6IIOpJFcydRpUUwbujzaCIJLoZBvq9F0F7RJprJZjTk1ihOLMTFrNj4oRkY9gRD272qfjU+Adqf2gTUp2OpDx6ngX4/8oef3tanlZWI+Sa3EIGIwsbRFYVwsKBf29eJj0Ns2jCe5qlxiSo0mnwre+TD2JqjYXod1PTRSyp+QttuWkRler1HPpkw4Znvf843vlkyu7XC6uEthbmA4APs2P/LpH+XlN46ZuwInSq0TRGuMblMWD/jwJ3+JH/6hH+P4+ITCXMcZg0hFVR1z+4kRf/WSRQsorYWFoIuaohxz9+EhC91GxTCxJbVLNZQ8YgSDJXTg8qhRrDWhn7INqV11nCwTVkYmYG1HwKbKpfl9DUzeICbNq80YcattJ35axpIhXiT0P0jn08brFC23oGjk6605rvNIUyFXEXH4JvGsC0F1KX1NfQiYh8IWdKixjpNbMayfYGWkNRBLksQS34KJz0esZfQ+itlt6GzaCIJLoOSyad0trYnewXoTtLhk7CetKfiGh7KMuxbCkKndjmH5/82+2TjzMeYUHsT2PKqhVk7Q4MKYTXJnufCoNy4daFoJLhkWGYMPx25jHyn7NhWoa0pcZIKr8DvU3GVnVHD07iG//e+/gRkvOPUPUb3CzviUk3sFv/xf/D3+t1/7PXR0m3kNxchSL+ZsT3bwhTJX5VQtfrxNtahDU3TnKI0wsSVXd/bxaqhrULdgZ9tycnCfo6MTTk5njPavopXivWvnNl6z9x7iPbTWMhq1lVDXUd8SXNvfOJbWCPdl+DgQS2ObVttPx5fefklrz9+nzVrJxt79T1rnrUvPxLIf0loSa9z86X9DwIn+uEIcJBYdPCMgvqH3RxvU0CXSefz8EnZY+Xv/YV0+R+I/2tuGj5VvZ52v+S6a+17SGNplYzpMvT32KrRHt5lOQtzE0GX2KjJ8XFeB4Jken/DUU/vcu3tCOSmp1TMqDMYv8P41vvCFbzF3BQsXrBOHYq1lsVhgFKqqYrGo8B6cCpgCMaEcQ2ksZVliyhFCgXMOY4TF4pQHDx4QRhCQQGk+lgK/0jJIY0JeQ3/u8v0vgvoZu4PMNQqOdefsMN5w5N4ey8XgmlcNWn6uFJxFZyHfcmHQhCYGYk0b+uC0EQSXQIOoEKXtrBU30VBw15LyDYaZeJ95f1DGEfIK2m1dFrJXCNnBoZaOT3VME6OPuQR4pTC2zWD1rRtsaKx95pIzzTxvIteG833KYsZYroA75ad++vso93eY6YQR20zsCXsF/Mo/+UEeHm1RbF9n4WC0NaGua8bjLYyUGDX4qYNTD3PHWBV1jsJYrIFr164FRmYtiMWg1NUJV/YnvPryO5Rbu8yrBc65DsPL709KdHPOYaRgNq1IJTdyyhlpvm7WCWuggd4m2KjtMd+0kvKs7nXnHKJVpdSHYKVJ+BdGwyYm5DYYWVJR+qv8LGWnM2bfutU2dHG0EQR/TdRvIxM0pwA3zBndeeksPPc6oTH03/zz0MOeApeq+T7SubZUW7+PismPSfOP5siD17eSCYqjsCNe+Oh1Htybg5Q4Rri6ZiQlP/LDn+QrX3xAVZxQVRXWSEjIUk+1qDFFifPETmc1VTUPgtFLI6D39ndZVBVqAhMtigJXLbh6dZ/ptMKaMly7NUtJf/35U5VGIJxFfU38PFp7Z2r0bCVBVZsEreZ/fSRPz6o7Syjl5CW4xFxMiPNnmAXL1kf7/eAYFYxTjD/feDZ0PtoIgssgWWDFR20/a6hCaxnYZO7GGjWSd3Wi9Tu3gTsXmtlHTTA8KB41oZVf0vKdCTX6vVW8FTABKRJq0ZsM2eObTSMap3n4rEFLRa3HWKU0isU1bqiwX9u0xMVAszdCHbOFW8vAor5ApMCYErQk4VTilQUUiZeo14Z2hXkcwWiEXxplwSl2cczf/NgP8vtf+EtO9JCRKxnLAca8w2/8u9/l3l1hoQWz8YKyVqQ+QQvw3mDcfUwh1PWciVVmpwcYrREp8OOKYsvx5J0x9+9uY2QrMET/EE7HfOzF6xwvrrLAYyX0YvBYsLEBEKkfsTa5E1sjZbJVcnxS43A4s8jq/8TKnlIAbcZx3qCmZYhhX1WPUuMpcdq2/lRcaJkZ7iTWhC1ZbdYHq9MCXhRjUgDfk+oKqU+uOY1rKiEAgEx5iBkTtK1Pg5LgvRLCI57aeipxeCrEeEI+jUOMR0xYV3nGcXrfxBoMGBPABd3e1qky7Sa8eZG0EQR/TdR3F+WBXugFkXudqsKDUTTv12n57e/rb21qaNPu224aaxSY2CvYY9bCH/uF0Ew/KeisJvVJIOFQXOyklrTieB0+BKW3ypscHL3LwdEDDo8qtkbXcNxnfnLEZz7zGUaTXWZVTVmWjKrHUTumLMdYP2N/AlJbJvNj9rXm8etXmT54yMgYbu/U6LRmfjpnMpkwn57gnKMoCsqyRLVie2sfO7KNVSTnAbYbwRR2rUbtvVvKRxicps497iKFLqJRi+RlKLKKt30L8cyR5gpH5gLs7HJOCyOR1zYDut8OdEPfO20EwaVQW58n/zzEwL0YvEqvrEPQ9hODGHQDnOXfVYN4aRq7B9x5F0mUNPDcFZFcATYU2gevSw9e/9x5C0tREwPIfWdY8AxLx1XQWgZDgWb1JlgKEl8V3NEBj90Z8Tv/8avsX9lCT4Xq9AH/+Jf+Pr/+//webN/E2Qm+mjL29xDr2HHb3Hl0wOSlf8Wbv/sv+Mt/+y/4vX/5q/zic1/krf/rF/m7k3/ON379f+C6q9nSittPXOXu/VcD0scr1azi1p0xk8kNxtsFzoM0cwZ5Al5fgIu12JEwrUL3L+NzwZvTcHmG/FjQ+u2TZh3mDjRr59hl3FHrzyzATonzpfMExJjE9RKqy/olodd3GyVLprMPNK0x02a8Nu/fT8wrrbF829DF0UYQXAYNaGfBjE5Y8cCAA/IwQg47z8JwEHf4QV9Nq4p9JldDGlOzf/ZA2sx3r9p98PoxjaH4wkVQKrvs8BhRRsYyP7rPR174EJUXxBpcdcK4UD73+3/Czu4NZpWyUEdZlnh3nZE/ZTJ7jc//23/Oh/a+yumb/4off+yv+NXPPsk1PeFX/5t/irjH+K//wY8w8ceMbc18ccz9R3ex1lJVFaenpzx+Z5+HD6Z4CR3ZIFQQWkcBUuoxBRlqaJnaoKzvbOdp/B7uw2pr7SzqBn1zpcMs3eN2O/t8JloF50UOnSUMUtE946XZNnRxtHG0XQq11RkDtVj95uFKcEg0qpXdol15fGAdEDtAApf3CBmaybfcZ1j9jGTpvAoS8gDSLs0DvfqpDr+HGjJepDlSlzwiNtTt6WiU/UY73a5VEPzFgmerEJ5+8im+vPcK1mzj6nv81M/8IL/1H/6U63eeY35aY61lPp8z2Vae2X6d2+aAp37xB3h2v+Zf/rP/mb2bI46ODrDliJPTOb6Y8Mxoj698/h5ethnZAjHjUOXTe9R5bt7a463XHuG0RmSrHes5Ml6NgcrVEK89p1bzXs7eHaJhIRtrUIksadkrYcLZ7W28S83YcvPPBysu3v+mh0Ryj0nXquvecxNHF4+/fPTOWM+iNEcXBbfdUEsbQXAptMKHT6sxG00LO9UYSi4DxWsd90/lpPPiX0lQhON6bR/StG8LIxR8U0vedcbVBvna+j8508hr54uEcgMJ+ZL7qFWDphYa56ScgIzUEMoOpGsMo2ke6FjSeMiqsEUos4xbYEVx8zm/8Pde4E//32+hZovD4wf8yq/8OL/2f/whxf4dTuYF41Jwfk4x3qGaHvFf/tgn2HbfYfGhH6Z2Dle+zeliG8o9FqbG7m5R1+DnJX7xkJHdppoX3L9nsXsV4/GYq5Nb7F8r+JM/eBPddaiP+bJRhtdoi9gROsx+ZAvGEpPkjKX2YDSfh1YQrksgW0YU5WshKhLkTLKH0ArRa+IfBq2NcE/TWojHiGs1gQl8RDykXIEkCIYEToJIY+PvSfAnN9j7MByLLDDNRhhcOG0EwWWQVG0tmJQir2X8Max+F9VsVYeQ+9wF9TY8bEV8+F1A0bisQmR4lcBUJGrkarCxZ4Hr2OTh/5YofCLD8aod/E6igpgYm4qQkZAd7YMfhFisNx8q1odjSjif8Q5jDB4fnl1bBEYVEhSC60kEjEe1CMXiGqtJEeOpTvcoy1MYeZyfMa7HsP0Y7937Mtu2oK7f4U++9BJ+dAMpDb6qsDLGaUHhpvx/7b1ZrC3ZeR72/f+qvc9wzzl36L49sCkyojiJFEmRMSnRikVFbUdAFFuWBSiJHMXJgw04QfISBPGD4yADkoe8KA95sB+UIAlgwY6sGHKgyLFMSSZFy7QhmaLEUWw1u8keb9/hTHuotf48/OtfQw37nHv77BYC1g/se/fZVbVq1aqqf/j+aRXWoD3g+C5htnMEDueY09uxEq9XKaIvQNtiudti+eoL2L0VsGp/FEIrhOYADa/x5BOCO3dXeLBawoV9kKzh0ajvgrRdJkggQcDUIDgPLwDDofEBewBev3MKrJ7EjM7hK+Ef7w9irSV7CohAzKAwi/eqhfoRCjMtkocg9HD8OLbXVpmIFqaHzrcBJU09RCZLkoMU9H8HCFX1/1MYsWnnEAA++cNcyj6PWeJsQUcEiEae6bMq8EVWso7dAGjTFZhRG0zYQiFLu96Jro4mQbANkiIJJ4RB7aU0qZFetOwQNPhI9wXImVPQXoBiTOFU9RIYj6gIsaaLqnVq5hNJ9FXUcAKlRKKyKqWk3yRaHFk4KHau11FomxYSCEShlzZAgRVzaBaXI1rOguevQsIu2rMVbhw+gTD7Oj7/j+/h5sEObj31BG488RH88y98E+7aIXC+BDeEMzkBice8uYblS/8Sjx2+E+fhMWWGDlgv7mPeLhCkRQgrcBC0FEA8x9//u/8L/uilO3j2uZfxg3/6L+HO3TM0InjfO9+PP/jS13Cwf4hzUWblSOfOcS2C0+8BHkKKaWt9nF0crwRrH0CNg4PDet0q3MZqAZolEOB765DXsgv5lPuMk1p7eg9a6y3MnHL+RASbRwBqa26Eiuq5XgQSoylDiVMAACAASURBVKC0npKZryocfCdooTNjvTbO70avxzFNFsFV0+Qs3iJd1mk6lgRWO3MFg7Z0ckxzLOM8ril1nbwMAaem492PnbN7HcP+hjQ2D8ET9XFEVDdpSS2r8n4iAi9nmO/tYodmWB0vcLRP8EvBS9/6Jt753e/AP/6Nf4qT84DFaglqllitFjhoruGQdyH37uBmc4LGMXZ3DuCaAzTNAZr5DVBzDcI7IJohgMHcYH/3Gr79/Dfxoff+K/joBz+IO3fugEFo/Qo7uwd4/d4J0LBWHKVGu7KxZoAIxQitEO9XyJ+dnR0czglMDdq2RduuyptXRxlJsRRBUv+IUdglZhaXTWm6VEwlCoG4H1Mv7HeMcvSRTjKhf+meGfyU3efUvfXBFBnzW22Awah/3Rf5PCZ6czRZBFshh+wgNjx8eM8Sl1UMhXt4voUo1mPYCx0jOKKKF2zfAaHhI0yl9fLjOUJ2Stdalu9ElMTQz15EFMH7Nlox6m/QQmwRQkilKdhGhWOOPQoy5DT0gs9m17FcLvFEQ1jf/yr+3J99Fn/v//o0fvZnfxo//4u/hp292/Ds4GYeLEfYXx/jyfULuL53jB/55C14/zGszhdosQ/nduDDEl40pJOwRPB3IVhh1ji8/tJr+I/+yl/ErafegQfe4WjvAKfrNVaLYzz/7RexXDXA7gk8duCwC4hyNycpvQqAoAHBQ8MjZwBuH8xwenqKsD7Bzs4zWIcWoa0fBsPru+vQs67ieut9jpBb6RsaEgYuHi+cnpXWqwLQdfxeTIXd2Tsol4tO8CEQ3Qz1vum8nRHUOqHqGCuFHbfoGl12uhNdmiZBsCW6MLSzcLJV/oEIueggXMAuqBhxd3hrCLNxTuVLmqwCwKeXuNTka83fophKSMKsgLJK6OaojhDHNsd4QCDLqR3Y2zcAlji7/xK+73t20R7fxb/1k38Gn/7N38Le3mPwzgGywvL0DHtyH835K/j4DxzhnU8/hcf2PO4ee6yDB/M+RBgODtQ08H4PDRNav4PgA5gJ9+68gTt37uC7P/Ax+N0jvH58jGY+1y5or76OHW4gtIJHA5YlSNroE1CnfoDX+HgOIBE4WcMJ4Zknj3By/xXcuH4Nr9w5hcsBRyliaBONCcmuJl+qE0PHCzzEEv3IlJRLEoUBBWDD7p1IIsP18zn78KY+T/l7vbVPk2VwtTQJgi0QSZv8BAQBKCBInbilD/5AJUrWZvQ5Mkci9MoxVLF2FpbNRVC8SBLbZVaMoHEQWNRSdCoLUj18pVAx+ZIkYrwaDaKaWRs8mJ06hQtNTnujCEKEIlx0EqdoIwqg6OwmaFSSQBBCm9bIhyX2+Rre+1TA3Rd+Dce3F/i/f1VAbgbMPcIamEGwMwM+/nbBJz/0YWDxLXhZ4Hi5h2VocXv/Bs7OWsx3dnF+tsTB/iHadoW1OOw2MyxOj7GDEywfnOBPf+qHIXwAP78PzAL23HXMbjm8ev8Obt14HIEC9laCvV2AaIZSoForUnjF05umAZHgs//sM/jCl64j7N3GeidgsVKHst1RsxwZ6rQtxwyhrcJs9e7EkiVm3aW+Dlq4ohtdFARZuUhatloh6Vhj2qifTxuHwSn4AWwIvzUaolg80SwVzhFH9kTFfhIpvTI6kiVYNzPO+0u/rDaQn3OrgDtzj547MVGfJkGwBQrAoDpzWQdX11eQX8whrayvUeaYdM4+gwGNrsxWLa2SS82vnFu1tc5b2GSlmP9jCAsmIuzszBDaFWh2hOu3vwdrPsIzzxxAyOE0OPgAMAU0zGh2ltg/uomz5UsAaW+D2YzRtppXEELA0fUD3HvjVRweHmK1IoB2MZu3mFELv1zjYMZ4cHwHTXOAs+M1Xlm8hne97zbu3b+P2ZJxtj6Fmx/i1deOi/nqui7XPtaAUpbnYrmGf/h3/j7e85734If+jT+P4Bnz+QztOjLZYrWH7YKyAqurmHNapzKE9IqV5FIhSOHEudH2Q9NwUbxCCGDcArJtpaUx0dXRJAi2QRwf2BjaCVBiiH0MeOClkoJRUDSrozXfjbdHyQjQ1ebiuSOso1U4h05X/rjhBWMrqqb7VZFPVolUVCvkFJWkmwnKCLSwWT+OvHI4x4N8uwTCAl98WfDg7jV8+d4ZWgkIYJBrNLxS1upYPl3izuuv4Kd//BN4+aXn0S5XaJobADns7s2xXq+xXJ7jK1/5A/zAD34cc9nBaunQSoCXE3zk+z+G3/5H/yeuH9yAhAN8183341VZ4UeefRav/PLnsPAOh0e3cL5scW3/MM4534tZMPw8Y+UswE/81f8GTII30IDJYb1cAU2sG4VOxI6FbxVgmfpWMqySEtCsR3TMYcCIHKDQ17CjjYZUJ3bUf2WlPlLYQPRh6X3dpNiUz6GzZz/h//Z3F5Icp2wZ6bNymdpME12eJkGwBdIXQOLbE+GdkX2HNKCSGXajiYxhjmaMbtCUUjc0otjkPEIFVSKT9QboHx+iH8L8EYJcGqPU/C9TVmCstEV5DY4bgBz42g08/diTEF6hXXidt3Ii+NACocWr9x/g1uERvvyH38L3fe/78Y0v/S5uPbYLEON8sYJjhcDe9ra3wbcKnTVuDp57tGuHw8cew+NPP4E7r76OdXOO1i1w+5mn8dzz97AOO1h5YLEmsJthsS7mGhdA2FoqWhKgbl+GgP3dXYgQZg2DaYbztVlp9dr1l630IdVacxL8UdmofU0FhYHfRTBWJqKKYqrCiQlETawEuukGhzRfos7zSGZBSv5hZA7959iUDjv/ZBFcJU2CYAtUwSHFMz8GgaRdjQGa5mQZv53t5TjdbNS8rWQgOZY/TqUi066UmeSuW13yISQ3r6n6GkvvYg0ewBncE30GZSRpFDvFXNETeHXG8g4a2sP9cI6Fn6FdNpihyRohE6jZATnCbN/jj14/wUzu4fP/4lfwF37sT2I2m8G5GUQCnCMsz8/x+GNPI/iZ5hHIGRr2aFtgBcIP/8S/i9///Bfwm198FTQPeN/73oXPfu4bOFkRzluPvf0jnC3eALkdWC2euBgp8csnA4kACphhjuUScA3DScBKQvSXaCny8v4GlqL4YIzmskbTiQGHtG5kqjmQsn/zfURe7Y6QUGy/uP9F6G6dn5ATCPOxVD3gRDk6aMivlCxaZBjRwkPLPsg6eM5FqOba8VnYWBNdHU15BFsgR1bXM37IUvrrWP2cqFULha7AyC+Y9D7lmVIdf8nwRHphKAy+qN1zjO1TkjnspGoXWD9KQw/WUMMa+z5kyaxWa7RrwmzmEES0I5h4MAJcozX9vRes1x5wczQ7h1i3wHznAJ///O9gd3cXa69jr9ceu7t7aJpdtG1A0zRgCUDwONjbx+HBdXzh87+Hr3zleRxcu4Gz4xPMdxvcv38fbjZDs9PAS4vZXhPLaIpqxywgJ3BOhQ5Tk4rIMTN2mjmaZg4KDn7lAXGpgU9a/wS9jxV5G+5e1v28Wdo0rgnfN3OejeWjN0QllXPICsMkCK6SJotgW1SE3Gnt//4L5L2ABmr1S2zvR+hDQ12GEGSZNXgqsVTFltVZzCA4sBdNJKLYWIa12YunslIkQYIex8xVE3lOUR6q8ZLoA8TeA5AoIPJ1qDbaXZeVbpFsdRjuXYafEhGa2Vyji3wDQLDj5gDF/axlYayYyW6Os9UacsDwqzVePW6x5iPs7wPBrxC8R1gtwI4Afw5aAyznWJ0d46u//3t45duvYLVwOFnPEA4atKtjfP5fvIglEbwnkGe4+RoraUBSFoNgIACt5NIIKqPVX7CmIh/DaXo4m8UX18oiqyRkbT6k6K2YhZtgpCzk03Ym+EKxqP0FtdWhPzUd70Q/07f8rsFiZur4KprU3GFaiygUOWY5adDZtfaESPFsdx6WTYzensuJro4mQfAWkEZb1L0JKpO4Q0Nwkf5eYqNm/jMsiKc0o5OfwpzJYAj5HiwEAIi+g5IJD2l+Yy+nnjsNBiBDJL19K+ZP1TH1OSz6qFiLgmF1oQIfBA3PYhG+Gda+xTdfeBmr9X1cPzrEO972NN54/SW06zMczNeArPHg/mt4cOcuXvmj5xGYsLf3GGiHcQ8NDg6P8Mqd+2C3A0+zGNLrAB9Dg40vimFel9dQkxiRsTUtC4bktdno/zGoaMuUFIHu7wIQCCEqEPo8RQ1+yArtDDBkDY9RCSFOdDU0CYItkC/KQpTQTPwJpSY8xAdKZl6Ganb3IaJoVZSMMXReKnPcWRXQAmeNkIT1sA1iKP64E6/7XUTUglF1NmHjQrPqXMn/EXFv8zDoWCUswH1GX7z0XU3QrJVVCGA0OFmvsMP7mDvCb//O78HNBPfvvQEnHn/13/9xLE4FL33tS1if3cPJ3dfQrgKeuH4dx+EcIoSz8wC/DpjtzeDXHvu7hzgRzRQPbdAY+BASzEH2f+kTHRHk6RpKkCxZYtHKMgugEvp53CGGuYl5Vg2FRnfrC53qvAPHuRjOGqK/IbnCSDu4hSQAKJsPZL6Jh9fms+P5EnWPJnpomnwEW6bsG+ht2XDM8LZhPLh25pXj5+gNZazW5WmIxpjM0PmH58IQiglNRbes7vjGBI1BuSg4DPLJ57dEuBq2GLNUmBoIOSxaUZyBZliuVjg+PcPB4U2cnC7w/B89h5dfegEn9+9ieXoCQkAzI+xfm2F/fw4f1pjPGywWZ+DQYpcJaFcIfh0ZkY+JUxnHf5j+KHnuNPLRdRyjriDurQlT1cqxLHtUkpVAzx/GUHLjJkr+gpBhS8tH6cKZg3PojJefpzIqSK3epEsNBFhMdDU0CYKtUP2gGnNMPoPUtHu4A1X3RcrE1Uc7ntUvhzUDzw7pPvzSPVeyDEBwsZjaw1DNm2PP40vQ0MNXCgFQdw2GK7mKCMjpvFsvENcgiMA1DHCDIIQbN27gt/7JZ3D24D4knGsiWsOYzxlo1nBzxsq3aMMa4tfaEc15uLAGxINJq4SKWC1+TtKsZHJjTKoUYCFq0mMCd+yeWxHC3DS+PqYsMNdlvmHUUVtbL0PCu3ueoWu0kAWDJ2snd7wGyzUZOd9lKENTF3dvm+jyNAmCLVB2ABM0OchBe8rGZvABKU6/ZNwUJCUKAQA4ABwQWLV5lqw9xnbChSZm7Q7zR1/E6FAkdehmv0GMIxfOXgsidSAXfgL9Xz9axICi4AiaoAaBxJLMgZCqcUrIzs/8smftnlnLFniR1JJS/ceUGKUjp+UNfIiQEI9+1HoAznkfx+sdgALWaHBAc6zv3gedn+OZ29fw1I0d3Lyxh8OjXVzbb7AzD/jef/V7sNOs8L3f+14sVks0LmB98iqe4DMc+ddwY7YEBw8RwmwWQE57OzCpsxoIaGkFz2tIXGerDtrXbDWMl6mo0cQEOI5afMAaAa0ECOdnw5i4iH1M4HK6J8aMGyG4AMxCXtd0PAHCCq+I1JadwKVP+cyCuChVob9raQkCswOxgyfCumDqJjRDCGggaGImmYgggDUpkL1+IgzWF0KMEAQhSLrupABhhomujiZB8BbRUDjgmFNWqXipDEPmvnYGXM7BtomuKv7isv1pLZrEGL8Ew5H7JRUuCwMk+CsEtMFj7bVu0XJ1ghu39nD95i6Oru/j5Vdfwv61Pfiwxvn5Oa5dO8Qv/uI/wP/76V/H7335D8DNHE3TwHuPhgP+xIc/gLN7r2KPPfbnDsvVCnZv+uuer6Eb6TUUmjsc/smXXscxsrGCnV+y3+fN+FhraApAjEqT2Jhn0+BDFkz+Y4oA+uOmSRC8RbQp/ruLvSMmDg1l6xoz0aqX/fHt+5BJX34fjQASJNy3dw00/CEpehiQ4vplHoVpx6ksgmivZvuQMEicZskGxL/7cx9ct2h5KA7C8IGxFgfPcwTMsbtPuHGjwbvefRuf+KFP4Pv/xCewXC9w84nreOGlF/E3f/5/w/0HM/yn/8V/idceHGMhLfav7SJ4j12c43c/+6v4T37qWeC1r2Fv/QDCDgKvZaCt/JoADjOwmPWi1xVCgI/WTPkxJlreu54TXHJBOSWzpuxTw0dVH4TCUmo8koXgBCARUHrGup+43tUc6ucpCziDN0Pyg5V/a1G7kOCi6hmzucfr02sPVXLkGGxUPncTXR1NUUNbItVQ899Jqy+x/87DHAgAEWKDR4ACKNZ2GT/H5VW8bTrZtPRE6DCvfN4spPrWUPcS8jyHHMNZc46/FP8zAjF88BDXwJFgb/cQzz77KawXdwFeY+UfYLFeYLlY4/j0DCdnC/z6Zz6H/+cz/wgf+OAP4aMfewfuHZ8DEBzuzbHHwEvPfRW78Jgx0AjDb1zyvMaByszvzEDz9Q6XCyHr4yzdFaj60KH7AL1Zy3C00v/47RgfS1hvLKEnRC5jBadxRp7xh3HST3QxTYJgC9QVAqpR9QtsjTPyEGsyakQNxfLPFt5JG44dCyvcJAMsrt2EVV0PsthvZAwWbVNpdYhEpOw0GOesvg3nTRGUqhOVhdKqk9inNcwhtHYdJeO3/zli9Yo9L9uAcxB2wgJ/8Sd/Cj/17/wkfuH/+Fv463/jP8T3vf+70KxPMXMNzpbAY0++Dd948Yt4/ImncX5+jgfHd4HQ4LGb1/H6ay/hT37y4/ilf/gbuPX2D+C1xQqzvT14b+WeuYeGlKWc63skSQgQh1hKgqN2b1FWiMG+Eq+JIU4T1XLpiW4+CpJmzdooMy076YLm+1c+PwP30e5DF5oSie00i3tlT0mKEM2XqXfbnOkBmoU9YBWoYZLDmu13O2e5jukazJgYmP9Ej04TNLRl6oZbGjxQM8BhDHkTViwibxpLLuf3ZqkbnTQWgUJEGSYKMgIrl+0yO2P18OTSr0Ag1hIP5BoIr/GhH/gEfvmXfxm/8Hd+AYvFKX7t078KAFgslpDgcO3gEPuHu1gv1njhxeexWJxhvtPAhxa3bz+OF7/1Er77Xe/B8dkSi8UKoV1FWKKAN6T2C6T1iGGtVm6iur+Uo7qGoLpHu7dliZG+v0J3oRgVNtaetHMdxei1f8O2kiYJilYpTUeJCjIWHhQCab7oM/+reiYnujxNgmALJNaUpoittkgJOAc4B2GGkIOPrbzLgmG2rxcHSAON8yYwmfmun5BCUO2TcVpQW2GuNaOx42K6vovx8JFJqJPRIb+oOqYLnD7sCewJLjAIsxTBoo5JqeakUS8a+eJdqwloMTpJazFFbJnb2FqRQYFj9JUHsyaiMbQomwrTVrFpWQGyivxP0JKgFaBdB2C2h//sr/0NvOcDH8XP/sxfxvGxw3PP3cfrdwPWOMTs8BYObzyFOe/jq9/4Q5yf3sNLLz6H85MHgF/gmy9+BeA9vHwOnB/cxPztt7EMAkKbcfqYA1FGBqkirs4L7Qxmgj9GYlltKMSoGK8af2KPrM9HKwJqgbC2DF0gOELroFo2SfQmeQR4ePaACxD2INZIMSFOHyKnXdS8AB5giRFA5OKzCjADcECggEABngKYvEaJlZFO5ccsCc7PvcDD0xqe1jlaimqnPrEHSMsWCjE8UXRPUXrmTWmwc5nfYvaQeQ8TbaZpNd8qSgyjowF1tDd9CRzqW2OJNuNaXI8kN5W3c2Xts+5ANtQwZEwr62r6FxUi61pEQO3oG8d6uw70cdLteX0FgBCjXTOWS8G//TP/AXZuPoVbT3033vvBH8T9ZYNrt57BYtVgNr8GD6BdL9Cuz3HntZdx/eAa1ssFTo9P8Idffx6Hh29DGxj3Tu+CZ0eXXqtMqjkbnFTDHqiejXI8VSD690ab2qvHNFtKdT7IpiAeoRpyqfxW3ZlviHK6zH3f5JdSZ3/Oi9DGPlG42b3nXNywgoimWkNXSpOPYAsUyuJsnRdC/zf9JsbcV+9TjNEGojZpkRjDrS2HZLlqpLkhup4zoP/e5tT/cq7ay1DLRih+3RdgphnWbS6BYfQ5j82s2HCAZAHUKz+seP8wM+HsSyi8mEFaNCFqtwysaYW524fbISzXwL/2r/8YXrrT4ubRO/DCnVPceGoO7D2F1i/wvvd9BN947ivY3d3BC88/h10n+Cf/9Ddwfe8Qr598Fu86fBJt+C64a0c4W97FfLZfXVM/iqd/3XltKD0fKXgmre+IXsbZWqAglSAt/RCO+szZkvtK4I7LX4SB5MDOsF5JISBaZyFZD9S9z4WToCfoxkj0XkLUH5Z9DyFaFagzywlAeLgAiYkuR5NFsAW6KDqnwmBF4R5z4FHvZbSXY/hWDZW3HrQUKPslui+Shj/Wcw4iEFBMSGJNFCte8Iu0yLHw1VD+zVmw9LKRO9ZTul4a/uT5ayhlG7XLb3/7W3ji9k00TvDF3/0d/Pzf+pt459vfif29Q9y7fwae72G2t4/5zh6uX7+BGzdu4ed+7ucQWo8f/uQn8V//V/85Pvdbv4nHbz4JFsb+7mxEGx6z2IqqoJ0wzctYd+Wy2HlZ6g1m5V3WXsy/19Dh5RjscDnzck261sboPaPYkYA0HNqgRUq1qCZ6q2iyCLZAublLGbQhnb+VGkY0j+1FIgj7jmJdNgjpaJi0yhEiBWlLyKitsmZnKqbAhebVJx9DGgkRTgKluZj2X+K81g84X3u2GKoQ0ThukAAw5UJ3kMjE+3Xmu3HlQJ9h2XffxmxlZgRqIDKDYIFbt/bgz+7i2T/1cZy++hjmP/px3H3tVbz7Xe/GfPcaTs+W+MCHP4K2PcP//r/+bZwdA//z//Tf4cb1I1C7i9/87B/g2T/zs/jWyRnWe8dYrW7BcQ4Bzfj/MNtlZzq4ROY9EBRguHsas4DuRnhzdb+LXpWXZei6TynM8zGWFZytuAZqw3loZvH4+Prs53PotQD9CxGIxB4aBUQJD5CD5rIwpZBWsdpTZrTypMNeJU2CYAs09KJQ/C1IwUxJ4AVwESZK5rDUmloak2rMP2HOBBi3bmKSp4+hp0ICCYwgWq5BjwXKFzPEcE6QhQhqCYTKhwBC4BhoKpJeeBIPR1pxVcWGwVCFb4DytbA0eo7y+hzFzNcm9hlQCwRYo25YwmAv8AyECDE5Ia137whCBKYWxIIF7QJr4PaBx9yfgk/X+PLzX8fh0R5O7rwB/tC7cfvGEa4fHOJX/t7fxq//xq/ix//NT+ELv/Mv8cqrr+Pxp5+AW5+DV0c4WZ+AmhbzsAeiNVZBnaLGxBQ2ycK1spYklo6AgBsGIahzuHhG6kyDzMz1nluZcetYZsKhqMIZ76fERgG63qx5DN5CM7MyIaIVY4OowqHQD2DtKy0iiIr7pmUeCCV6VQsTu9+msNgzKUXoq807btEHCBZyCgASHeF2rJ3OR1DLBMNkMVwtTYJgC1RqzYkpRC2L4naLoVdFURloKkTGoRwsfikTkUbOa0onAECjPkjfrI0YoIunq8MfM2OqmDZgb7GeA1HfNaw34rglVqzhHqapZkFWW001bCISYjiiCU5lUl5/ApzCIWxQQ4lRx2Y6izXjD19d4Zkbj+OZ9z2Dm1//Ap55+hA/9u/9DI4fPMD/+Nf+Ot797vfiL/30T+BD7387vvilf44Pf+SD+O3P/To+9uH3wLs9HF5nuDfug/0ufNjDWbNGY80WUvvI8dUVUisrxCxbFoKPkJiFiA4lcqe16ZWz0HV1PX9CJ4xV4sIW/ovakmqjpg8AWuZD0GIT1Y7jrt8oQpoRyzc0jAUIVd9k9QGUCkJi63E9S0Ul9cSOVktahRELbKJHo0kQbIU4aVUifUx1yNmXNOgNlT834vIFM9E8ns6LIgwaSOzZRF0gKqv29iuDSFRvs/IRIfo6QhRuaapZc7QCcjUUVDKr7nUOMNoglXZaOsSt+Q3Pr4Eb4PXzE4gs8P0f/yHsNwucnS0wmzn8D//9f4vT01O89so3se8ID+7fxf7BHr721d8H+TV2d/ZwLgs0tMCMGWEtanJhuPF7Z4Iwr0/2zcS/4xLGXKuN1Mfi/QYHrIWnbvbh6IYQxzKoZ7OOXQY72CPUdeIDxrgFDSiVFGExS9EOLMX+YA3a9M2SHfPzPdkC26BJEGyBykiaLpQTIoACxBIERAhe679YbP0wsx4uwCbWZrIYM54wYroK4bjoTBwav3ZMK7HoWPb6WqE4IBosCc/IL7gHwak3IM2VJeh1pXN5rSmUTH2DWEoNMzpFuenPLQqjhiQKnxHNUBjsHB4sGHN3hPX5GvOj74GfLfHtkwfYIQ/2C5yf3kczd7hxew/P3HoM8znw3h//FJ588hAyv4Frbh9fXsywuu/BTjDza4jsFNaAUbbcct2lAAS1xghOay5FdVkoW2LJMhiK9ww2pv5B1rfB/Dzi0rm6Fp0T/TIIVUasP4Q1TKCPRS2p36fzI0vKgC5nmEpzS1dQSHFvVSB2qmXpPY8qTLKa7f0J2hnOkfm4JoFwlTQJgi2TvYTR6E2/KXPU5KgEFwEjQkBpyMQfPCcha+mkiDsiO7oKChSFQUxoUp8EAMREsVBGAcW/uayrk7eJCJj6VW560FpHsKJYy/L3cm0WyzNNkmpmAM/x8skCN4+OsOfWgBfI8gF2rh2AZgHL8zO87eknQetT/PTP/AV4BtbzOe6eEu6uruEEDcQROOxYn7fNixT9Bi5ibIEIHCuLlneBUGi7HUsRQFGkLvS2DZMO5tSxk4RydtzWx9ZBCJufj8qJ3QuGACBU6ffDK6S+MYycLQUqdDZyglbteiZo6CppEgRboayxJAbllTFYqJ+qPUEddcwQkgRpWBQOlTkG4hLH0JciYrJBwyysxgzF+vSCAHAToZuoUZHd7hIrFhAH1RDj+CEAzhq0MyEg1p+JTFyFluLQxB4hMGZskTF66RI1/HQtxoSkzyqCrNP1Vtq0WORRyfCteX0c1zkoJGRwjcJDIQANzyAA1mtgTQFLOsLZfcCTwztuXAOtX8Huzg7czCHMnsZHf/AmHru+i2bvCGfnglMWfPll4HUJWJGDE8Yq7IB5lbRZKa+r7EsdJWQbtBBf6LHsHwAAIABJREFUE6/JU4ZM7NnwHQdsKdTUEc3JR9KDpcySgoMjX8A2+r+vrFOzAgKYLwNv5Tnl/I0AkXa4+ifFawcSJ+9HNyEW1SvHz9Zg6ksBVJZkkEatZmiA9WZvxkQPS1MM1ltEg7BOIFAHJK60rhEaNPVH9h/TBKvjihezG8+f4tbT/iNjdMgyju1aLh+nbifOCWVj+Q/deZb7lr+lQmWk3xeecLz0gNsHz/a1vWW4h3e+/TZO7r0B8g12cQ1+PcfynNGutRGKCsDl8ARGaup3NeiLqH/vL/mKkhacs0rUXhQK7K4dEcG5ywsB4GILtJqGJMCvUIce5ly5ERKF/L07lwkYulqaBMFbSEPOT2USlkTW729cMlLdp/9iD1HJz7mz31iyVzp2wIfQ/S0dk/IS+kz4MkKtpn6ZhctAZUPzFvEQCurnIIFEbTOIwO0eALN9LGWGhXdo9q7j9pMfwmd+6/fxD37l0/DS4njxAMsloV07ONoHsyaSBV5f8lqQ1iaYdRQdqdsgi8Ipu70FDK/h5e9HPf5lju8+r2luRZ8CQdefMd6wp/v31IdgOzRBQ1unzLDrFzLCOyHvV4dTjjM6S9LJL0v5wlsIqv7t4hCh+FfHLsezGcRoG3IFJAWkOjZk0JAeo4XBQj4n8njc5NLZOt+YZDYQqlrkG8dt0ZlI5oysQXTDtc2vAiCmQOTy10SksAiHpI177aIDgHGyaIEwx2sP1vj2N76OX/qln8enPvph/Oif+hG8+PoZZvu38PKDB7i3OIDMBMG3ECG42QzwRQx/Cnc0gWgF6GpoxMfeEkP31SjdBzF/il3z0FqhWhuR7IPKa1iOrUlv9hw+TLN6EfSO4xEnvYsxzGXosMGInVELS7XWWlLoKQgIev4k1Ji0RerDWJcTXUiTINgqCXL9lvLFMybRrfw/DBOlo9LLqMxBMdXC0dw7g/E9xfS7QSlZ8BQvolhGq/TeXcOsrbpqdvz2rRgpjhmisTDEbiijCR8Tft25j42tX+qaRS4y7OVyiVkTEHiOIIz5/i38x3/5r6BZnoLQYm+XsWzPIPNngNkO1mgRMMPMNVi1wHCEbykcynXwMTlO/SZdfHxojfrXlpDyfF3WvCaFf3aa3EjtPC+17kexCMp5dO9FSSHOTwpBWVRK6o3To5gwx10LNgR1kyHENJWpef1V0iQI3gqikLIrS02M4BKzUI1Nfy9f3vxi5zK+ZdREVfpXpGAAQVsTco5G6hUKs3l0LJEc1QRUG6IQKK0JANH5yBWD8V4Lq+VSANFnMHR+FkAY3msJai662ti6jEUPVZFY4mHJBUFaOGhGbF5vDZNco8ESczwQBwQPHD2Drx0TeDEHnwfcf/Jp3Dsj3Ls/x2vHN0GPE3y7AoeAuZsDMuCqJMu6rhl9CCHCNBxLaYznIQyVTegxywQj9v0+Go5aNkViiHMVJLnJWexHmDvDoSxIt0kQ+Gh1lDuoAhKyHyUK5LS9iJCCRQ1JbpKjocTRBuGA8T4WEz0qTYJgCySBtF4KOlqNxcyDIuNoAXKxrIIm3gCAj4H6QULW0CnAiUt+BIpjegIQBD5WtLQXn7zWaRGvjIicnoeZEUIb6wTNas28YwOk2SdBMYv/o9D4NQqHwFFTVobvDJNKoatRUMRuZvHotD/gKwGn303rjVAY2jiH0hKJmqGbAyII4tVhSU2Rqa1r2EbrYhVmWK8Zx2EFQoCjt+F0dgMrWYHdDj7/rccQaIbgdiBHAVgz5m4HWs5DhZYxaI6auKdZXLMooBEAicJeJQQEAk9AwxoTT3GcYGWYO9yt9LMkaCd67gUBEhhJdrBWrS3hwVz2oWtZMiANKgujPK8ZVAl3qx3/OmY3s9gEtWazl5BPyjewKDD4+BzXJTmU2YcSdUvtW3UapswQJK73RFdDkyDYAqlmlzUoREPZwh6Jimih4iUN0AidBB9EBlIE0emP6cXNWl0XXrHm9hXw1HHgZh9DX72rNVF7yU3bztusSF15rfY9WzTFWAWMUcewl9ehwjKXa47nh0OwNpbpPPoIK5PQkVILTGKIVl3KFASnvK84s9vTYwWgo5vYiw7hVSvw4uCCMisVyLr+QlUR53zdnSUMnTgMW6NGJVqac7b0+mvfh3JIFQMWVSDSfdAaTEOY1fB9BFI7sUIIsDWAKQRBOvNIgEEvaCH6SdSKq6GgPARHiHFgrl0hNNFbQpMg2AJl09mYPYOs5HJv37Kev1SNWsrfN54LWVMLHc0NES3qNkIvX+Qhp/QQjtydRcpdIIpWjQwytNF5pznmSqlltEiuylk4uV0ULKmhj11gOThnhk0Z1oCPOQnMALHmWoh+X6/PsTOLgg7GtIZ6PQhC3EHTQWKik5XYGPCZAMiJUPZ3CXdh0x0uSaEtCCGwhWm6dO5Wch3/JF0SVNW5nwPhrhQrfpqOQsgZ5v11cB0hr9cXDLtP28rQZKT9h5zZSfAVi5GzrlFvmwTFldIkCLZBSduRxIjsIWfO2pGIWgABNeNNcfudlzWYJpySrYpTFn8oLs3wRXJOaXlscuBmqsRG7zgtPzGsgZaa7MPEoNdRMNlnQompdzNKo4PWyjADSUB4UXcBGx4dotAVAQUL02VoYQzGDs/hW4N7FIfWuk9cMTBIno8K2G54rDI/iTCZMa4k3Ex4IENxFOWYJfQlN30lIbIfx7DztE5EOt9CMNv/5T3Q/w3SKX0Ew4A/RauSqB/hkyOa8hjK+5tqDrqlUae5StDCv+WKeyo9P1adYtMXLBNdHU2CYAtUMiwLucuMLTNVg2VMGAAoS/cUjNsiJNygJlfui+qlL2GavG825+vjL2Lctq0UAjrfvhO4FgbF+N35Dl+NnbG3JSRne1zf+H8jLrVglMj8qdhPf8nQEWITFADRIakN5gWRMbNP96iC3ShAyKXmMLappzkTADiU0S2aGZsZvYsHd+NfKmsN3XsSmbH1gLB92Zh2V2j3hXgOc+1k+EYlJcR1RPeaBqgPGQ07vKWIYiq73nXnZnRRMb6JrpYmQbANEkZVdUUQtVbV5jl6W8nq/6PQGANA3SoClGPy7ZaZdsZoIBCE0IKI4CRqsFWF0PiNXXwRm9T4XGWTlUmOmncIQJMjnYQ4AcfC2k3KrBmOamtXG+WCgREE5mEOtEZDe4A4eGkhjuGqxjYFY+HSl5GLaAAlo7DzhAI2CHAIIDSZUUIUt49aPGC4v669J0o9I1S7JkisFFFaU0yc10VyiG0ohChF2EjXOt/MJLRiwbe29K+kW1Zo7eBsHaQQWooZ6aVyYU1/8vogCt1sdRTjwKszPfj4XDQgIizRRpjLxQgn3e6IIgwY7zVlzd1gMRP0jFxiPUOH0bdVKAREriilku8DiOOZ9elMlg+rE1lIe1TIQBjuRI9OkyDYBg1q7ReoVpECbTZ+ayfsJaezUfse3n9sdBZALjFcOb9qrmR/+/62kXEuY6WUVDvCL0+6TlkL7x6vTLgPeT16XP4w9aN8MiSjP4w4WjdSDmAY9P+Yo1bKMOCi9tOm+XIWfGOQ4RANPsfJmTVyPck3NNFV0iQI/piJorZVvjzd0Lz8exlhYiGMto+DaWzG0LpjjDFN60CW9mNzMkZMtsP5WRICFSGRMuxTmUdAzfzz+XK47GWEQNep3YUMhip3puN9J8NXyl2NyTECUYxhtyMN1kM61qKZ1Lnfn3u5JmTzxbDQNCFTZQJ3vqVoswqykwSzDTn0eeB5Kc+RYw+4Wq+kmbNmDKB8rMBog4FXolYacn6GndMi3jR9Tp0epdVg61jOzX6rIEqprYT8HD1cfaSJHo4mQbAFGmO4G48x+AaZYQ1phmOO2L52VTr1bJ/LzXtsrj0/QO+v7PcYrWCQGLsx3strj73fJDNQGXDaDq2VYdQ9jZMq7hc15PLvfH1D9zdQh5nboUOCYKgl2Qipf8iKr0Ww56EsnawUbNLwFeJBidNUcxcRRGStgKRiehxbtJXBWsa0625jQLa6OtIm3zuqPSZpOmki4/6jiR6dJkGwBXoYpCBErU2gL4M2c89UReGwJhWptq6dqrQNYGxTKILcMKXrxKu1yDKfgIpzWXEAqyiD6n9/AdvOW8vQ0pIaahBSwxy38XWuwmDRmbdZJHFrl73V15ud5aV2DVBKEGM253FIoZ6eda2DGGQUw04HtPEwxpyr3/OaDI2R702Gg3JmdK7z03XA27rUp+0rBeWK1WHLmflTDElVayL2QmBrIkNJ4HHjAK+JZsGsHxFQExPfJPswuu9DFzYsBTVLDuEFOhaVmFVmz/lEV0UT2LYFyg6xfiXGLmn4X/+3sX3H/87Y6ZgVMTSGwS3jfocLWL8A3bIK3TluClfdtDZj2y67PkPnGoKX8jx99b3LZPX/nFVczs/KP5cff0mtdUwgjM3/qn0SF41n5UO6H4sySlCX1IJu6FkzGtouIuqIT36A/HlYf89ED0eTRbAFKjMz0wMsVlZRHWpCQWu+uCazWmvzR3NYGQkgZnyKAJzLAljf36QpY10qdkkTFqwgYI3lLnwPHDV/BK8MK9apISGQuNRYRjU21R7bWPqCI2wgomUbBHUfXQElzU6vJyvGwWvUEhG0ybxeoB6XGrZEmyiphUjXqUqxhfOUvo2SUQQIPMAuYeQZjlF8Q3sT5OxaF4zpULRYGGh1Hs4YWxzbxZVNEAkRGtRCo029aUrGzWk9oqMhr3E6tgj1pTYm1RX3WQIsczflM0iu05OavzBBukpzsURWzoSIoqJNUckWaOkTpLERPIJXKxQxaix0/VikfQ5E4trERkuWQ6BjGezDHaEQBR0cWrRIpTGYkBzcQeE8jmOECxSUiR6OJkGwRaqjZS42ZQmWcITLQufpPF3IJ2/MjsH8e9isBW6Y65A2HQgoxJkyj5HQInO2dudfWxVWVTPtUWyKTtPyXEDK3E7wC1yEdCwUM4/dNYQ5CZoSS+/MLxIRobVaT3ZcgX9YxBVJOcdhmOyi6C8VEP0ubSJWCtyOrXM00rFUa9IlYBgo30uOvpYwMM+xCCOD5kpwqZ5DXEMK1e27iLRtaYb/FIyc2P62aRIE26DERzc9vlouIEXDIEbv9OH9pEHqS2mF5/rVG7vfE56uf+WI9MGXm+pktszG8oyHIBX7PyujOn7BCIfKFBhz03O5YnY2H4+hSJFuKKUMCrSyqN2Yg3Q4xLd2rg8zauEYLw9liGVIrfl6INbDYZzZjwsBqzUlxaWaX2OcmLoBBP0j8uNVsfC4//D/FwGG1oeZkL1IJiRrxST7QLpkVhEAcLT4hCyPgHtv0gQUXS1NgmDLlHW2WqtURZKT5iMWv06qTUIkYbD1i6TMzZAFIvvUTMCc0JYkptu6YZEu/p2ZYmCFJhrpOzQ1WaiGQEKEWURyCKzNstTRu0KkZlgOiKW40zYKSKFHlDV7F3GdLFginBb6jF2kgJIQ6kJ/psnHDGNdv35fhe5cQ6yLr/keymk1dl7X3L4rcxwRJJXPIf9m0Ep5nw1LJzLYKCYXlrGwUaMf4rAlA61Ee6f4FIt2TqiHofRfCQF1LVD7P1+PpHtOREUxvOFj63Xh6KQmuEDFc5aTy0KtC0x0BTQ5i7dAD5MeXxbYMidj1yEYIINtB4ecwNWLGQpYotfIgzsvb9baN01/qCpkec587ZI/VHyKY7pO2HQO7kbUhN5x9gnxUzKXTeG79bicNPqujwEIReZrbXElARfPPbQe5VnGHLybIRjldmmN4BNkN+R0fRTY6aLyEd21tt90PhlKqgolwkE719W9qrv35SIryQrpMbiXH9E950RvniaLYAvkhbQUAbxqn8ULAUTtlTOua2Z01nhMM8ulBuIXdFWhVOsnac0xZK8INwQAMBcx4NkBDKhGLiRwNj8EBGjF1IrxhxA1U00KEwANO0jwyWka4rYgIWq4HgiqyYYQ0JCLTnTzJQiEQ71GVo00FnNec4aeKGmtBWMXBmgdr9e6tTE8LTGLVhcDCFZ+I5JBOHZPmBlgQghR4/c1s7L148SFKMEvPuYO2D32FqHks/qatrEkOMXBwQ8IcZtfVrKbuEbx6rxajJ5Vh4ZIuv58fZmhelJrD9AGNg0B3rcIRHCs7u8s4jp9AoKrqn+GaKFUojr9EdK8NUhA8X11zhdRW4N4U3x+A5vaE59TUQu1CJ9tJmzoSmkSBNsgCtm6L8Chhx7mEmGCZXXLcveKiSDvMzZuX0OLkSmdeXuRBHMJAkLo7EFFM53OuWpIoKyz8/BvdT2WT8Iy8/Yo6AbW4KJw3otIuK9tM3PFyO3Dht3plmJ7voZUbrtXfg5Ju87HUrw2ZZZcoFmDlhBq7fkqirld9FwOhY1WWdQdi6nyXEQfUHoyoqIjpuikjPfJJLhKmgTBVkiZUwWN4KKOSt2Hu+wwBZQwQXVUpT1KFbo6tN/gmVOWb8FVUuRQZrjsGrBowhCzeh+89yAuM3UJoJyUZQzPIli0F4tZABlmGIwCLcJE7X/bl0hVThFNarLWi0TQhvXQAnEU4bExJTRdrgmuuCMDoCJ6ytaXCDEaqSNUgs9u1xJTH/BJU44kRp2J2yemJl63L+4h93NPdEK940Pp47E1pGg7RiHlN8BLiPtVt+cCyKlUAsx/xdH6ozhI9nvo9djzb9ZqyANCLa8inHkSAldOk49gKzTEUC+x70CkTn9bzdTHNLzL4rGjAkI0Wzkl+PSSxkLxGac+PjzErIr9L3jHkx9DJOU6FEfn+Txi5mmCzroQUvG/RK8NSNL3Md/Npc6Z8H/pfcq1G/QzXDh2IaJNJ3nkeV5mp/I5idCS9M9njuR6DpIEexkqa3Bhqvpa+EsmuhqaLIKtUNk9K2r6G985e6hLzToym2K8IabNzIp/k2pu5lRumFHW35GkhQ2VJagFFxFBAlfHAoS1V7yWmTVBiwJcZIa1St93Mtr7zmxN6kOyEoQUw+4yKis9LYIU2qpYM5KTl6KKWWrvyjgcwJuzW8d+N+1VUkPgGndvRoRn0lRlTPh2f5MBZtjdw1czoGi5iVAVRdNSjhAryQQnSz+MdyjyJ5+jGKO4FovYacYeaCK9SeX9gI8+mjgXAoQ1Ti6OijIrPvmL4ngirJkERIUlNVkFV0mTINgKXc1Dml7MTWdK2mrNZsp4e/t+Gfw7vYCSj+9u15BA9SEwazewLsQxBjMoF4hQDSFn8T4qUUxQM+ggEMYq3m1kuNSH04aO74Y/2vcQ2rQefUy/JuZYUydIdKwPM+Dh30L+v9omGFrHsesqp1VaDJchDe8dF6ilYKGRQYlILbpkQcSsdUYV5GBOZ1cVmxsoGjjRm6JJEGyBsqOWQNRUv2sUhzYR8ZEh2MuaC7V5aHMb8ytkZt+ltqjWKCL6iojEtofZx0CSY9Al5QiIFrILWiIhxLaMQoAbOJcjl9/MeIRGvOTmN6mMAGnJgwjdQ7DWMYJLmqGINouxeHwWJIlWJjM1Bb5Rvf5SMj/K/wdoGGOs3Akg2iwdDTROJBBBfMgLHOdM5CFBNdLM4ELhsI1F68DIDWjs3ktcM518igwiLRlic9da/hHqkCbel1w6wvwp6ozOfoIksGOyVWmlVKHHlTZP8R4AwgyRVkcg6gis0hK1pVZLkKOju+vgH84NUGXCx2ciCc00qFkBDrVVUvhmJJfvqENiJ1T7KmkSBH+MxEmTVsrBJRdrtF1zvrufQUS5Xj8VjDBrrNb72MdInsxz+y/2Q0HKUtbH2RwhVPbfHUs26g2vIU0Zbyjr18Rm9t1Y+sxE++tb+wEy0wZbeQc1NETyOgZc7Lik6IxN46eBuxe0mbHlXIt+ZNEmShDOJfwwOfLp4bXt1JoVw8/pw401bCWW0VZD93CiR6dJELxFREUjD4FmcmqrwqG9+9h0b7zE9HLMd4mvrhGq0gcWxaP7mqasFoAjRaIT/t45T8647c5n3ETvMgCbn5ADIUc3OSC3dYyWwdCipPFKwUakbYGjGTPEc7pQRTVmif2n9clWBiGGPVqUUFBBpkIhN7YhoUEBBwBtJ+NZz2HHhuq3YaFea+V1+Yzh6y33L4MJhvwDJXWFZnnfCYCEUD1jul8BVcX51kPn/sT9yKQyXyGvv567tiImC2C7NAmCt4qo81Il6GaI2T+8j6HHAOz3xDi7jDAyMcpaZkoaCuW8FEJSuMl2MGYWr2BE6RsKSRQReOWoaVtsR3vpbFELBx1lZjSOYWcq4BNicCnsrAaUSAGjlfCEHRnhpQvOVcI5JJYlnsNnL8PkyltXWi3VFQ3M41EycDdFmTH3M9KrSK1L9hK2dTQhkEmfx3Qt9t6IbbPJTILhKmkSBH+MpJrwcPG4i2gsGqb7klq5LgLQSswMppAjioSBjp+B0E2QgvoShgSUDDOlHLFUMlLSjOrInbgQNkAd1VI6OavrYdbM7ELL99Cs6JpBBnQbnOf1rYWAXkLWXG0Mb3p+hCKUefmYpV2v2RiVy1Pcaf0xMTnOv/UG4LTfBh/tKLWWlC65ONxFfaez0Itls0P/Wes2ntc6Tmo96v5cPZNDiYW988JB0CaLQ3Mn8jP5ZiGnicZpEgRbIB7BpYVCrvNPAEfnYH6oO3BPrPNPJPHl87CwwZR7yV3Ypv7f0vqDCDQakgC4yGU9xLrMkoMLAjGIwhdWC+sxVTHgYsoNKDuJdQXSnMtkMhHABwKLgxayiOwvDZvnTkEFlJWI7oc4SkziYsXBk7FizAeggVhzIkIbf2cBGD5aJw3M7WATIk+pzg0hQIIxpJAhm8qKyteSg1wY4NCxmqKF5TmurSCQwHUysolIE/YqWC8vvP5WWnYd64MoWXMgpP4EHgBCiEl4JcQz5EPJlktZ1joz5a4AzhaL7iKZmXd8NnYNCfUT69Vn74RqA6qwlGXJgaEs7IkenSZBsAUyh5ZRHU5o/6sGyty3CLT9pL3IgL0Yzso1U2ZYvvInjGiVaV5UvcDFFgAhQj/6IgZkxpD8D0HqQ+zrgIK32boZSqKz7xkS8ERal8er9qxXWoeojimGtnZDvgoQV9i5VlWNQi9xckZxa6rr6ZaTAFD4YjrnQobRAmLsP5m/pIDHOoxyLIms1oqNGeaS3T1NOXq6IxjVgbgyPNnVtrOQybCU7kIDDL3IAEc5jp6HL4vixPIkEwT01tO0ylum0rE29FCXL36yDijAErt0Ww7vI8paaq1mFud4yJenyzxCFD5p5Ai7Myh9TOwMejg6TGUQT+7NPx1RM1ehZEWFgbkOkzliefBTCoE8hRoW6s1qwMobI+kKIKEEq2l12bo4XEmPDn+M7+s0mPYSQ+RnJ517pOJpJhMKtr5UfTZdQh6nu9Omp2uibdBkEbxFlJ1fFlhf4OaJLmAwpjVu2J60u57WVo9R/RanEVHZTohjXW9neIyBGRX9bMcmTFQEYlYRMSZAAOupINSFV/IYfWGTQflNK7oxgYrCqLO7mn8HshkMKaXa0ggInc2h4wAoLTHuzQFAtiaig1ak9LlkcmVUGfI1aX5CaUUMnEMkQZN5e10wL15BH96saEwxKZsP2Tm640zC4K2gSRBsgQzOMUrhjZTDRa0VY22qW3heqUlnYeEJ0U7XsR1JwYgscsPggmGtvC98in24AJJjhc2h6qYXQTJ5n7Gdypc9FPubFq/bmxAi/4wlNgqgm7nGlzOuHUNjqRy3C5cUGRWkcI2HK9bWQhfHi8F1KUAqoZBKO6CFtQsVcTBHvZUMt6ZEZfy+zbkr9Dt2GwQh/ughUvRnLp3rJcPuCZTSvyQogwZs9rrcZU2pseqf9ncfu98UEGE5Azrnbu2q2lcx0fZogoa2QRS7YVFsok65kFYFAUUqfxtqhlL+HdF8AN1ybxcXgLuYxovlMRBLQmj4owCpKcxFNBwfn4XAGDEKK0AI4YIkojLG/WEisOxs9WChN95F448LPhPSkpoPlTH0Bgd2rY2h6xuiTbBV31rK6zS0bWDyl57H0Ly6z/uF54uwqNJUWO6toski2AIFIEE/pudJAwAEKjyrWmmxZCwxkSlIagFpWiOFMjtVIzmISJu6BIaLJrYVvybUL+xF2LPGuJOGTIqgFfUGKOqrzmOtKWSq7rCTV6BaHgmBhEHSQCDwpNU6KWr2AmhkUDwqWz+FZk0ORAGhbQEwuCisFuL+IhrKryWMQrKMmJuqVn9J3rq1R0jDQ2sFEZGGtwpBIYs+3EGpZ/Rm4lQ+wdZFC6ap3s7QiCa1FHyMypqFoEJWVENmIVCs9REidJbKSpNP54DEe8ccjSGPUnGwK2AhBFJBzshO7xCGYMpMOVzUWqSO93Qoy6Bn69B1nrn4e3H/OSoGPhRF5wgxUk7A3MRxC1/YRFdGkyDYCpW4bg7fG6LypdoIp0TqRf0UDOfRY6utc1eI6TxBBYudwl7uUGjxSVUP2BQWohaR/aGMqIxpL69rSHMNYAj54u9MoSOAQJnxBXTbZhaYOnJ9J8Di6uNsgoYwjq5ncS8fZs2zP0QnSsix+A7agzm5q8n2KBh5BZ11SXMmiEQju0aYdOg4RcYik7okVSRPGBt+w/HDa5TXLwohYY3eMkhMNM9jQoW2T5Mg2ALVz70lxwxr4Ryx+BACnL38Ypp1PSZxfnFSE/MQNPwxHTfMCEqMv79RuSKJlj5o4ODACMFrlAszrPBarsimpaRVq+7jxdK9gBSvHuPlUSaQZUFYUggCMMM5hoc2tWniGEGUWVr7ReqFMxJCiryKAiyeS2Pra8ckJ6jE5jPOfWqNOGYh2/y7t1kkWXa1kJIUOhwkRA3aFR25zLIsryFaW6T3v3T+qiVQhHumSDWxWaY5M+z6u5FSYwKdimfHhEcuG1HtmXw2NLi9N3LH6ZzKkRfWbz3HibZBk321JepjtcY4ux9EGAAKJ116TNOi9P9HtwaQ3l5lhKX2Z5trPXysOmV/DqGzf555FcI5in0jFZVjqc9hTlCOsFk+n1HZQL2T2SrKDNMsSVK9fgcraHaU3XDuAAABi0lEQVSxGqoauvVxHrq3EfcPmxu3U3FteVtn3ah2RlehxvlKktM5R2HFv+OjYqG4KoTqJvObr/PhyYr29cdLjp/etkfz70z0ZmmyCLZAhFR7OT/0A8lJ+jJb9nDkxyEANKsDMwyikTCqaZWRJiCzLLoOug0vdBAADiwMEgdxQIhaP0NbPnq0ef9kBXC6thJqMC05O0pVS1eIJDdVSbDTAMziAiJmLim6h6AlupmbmFfQQoIHuxkAi7KJwErHIW3ZqI2o5t0aGkRA4xELyamGfhEZw1VlPYAGdKoK9jO/CBGYWL0uPkdAOVCUeRrCy2YWwoOoyValrVvQNaWY5EHQ/A4Q4MXOQWjIqd+HVBkREUgIgLNInZx9PK5LWCa1Woa6zut442pBzsLZzrDnYWRU4ljYLuH9BBetXhP81HlOJtoO0ZvSJCeaaKKJJvr/PU3Q0EQTTTTRdzhNgmCiiSaa6DucJkEw0UQTTfQdTpMgmGiiiSb6DqdJEEw00UQTfYfTJAgmmmiiib7D6f8DhHtCOoZhtvIAAAAASUVORK5CYII=\\n\",\"text/plain\":[\"<Figure size 720x576 with 1 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\\n\",\"text/plain\":[\"<Figure 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Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"b0a271a2-7c23-46b5-d9da-568e0e6b87e1\"},\"source\":[\"# this mounts your Google Drive to the Colab VM.\\n\",\"from google.colab import drive\\n\",\"drive.mount('/content/drive', force_remount=True)\\n\",\"\\n\",\"# enter the foldername in your Drive where you have saved the unzipped\\n\",\"# assignment folder, e.g. 'cs231n/assignments/assignment3/'\\n\",\"FOLDERNAME = 'cs231n/assignments/assignment3/'\\n\",\"assert FOLDERNAME is not None, \\\"[!] Enter the foldername.\\\"\\n\",\"\\n\",\"# now that we've mounted your Drive, this ensures that\\n\",\"# the Python interpreter of the Colab VM can load\\n\",\"# python files from within it.\\n\",\"import sys\\n\",\"sys.path.append('/content/drive/My Drive/{}'.format(FOLDERNAME))\\n\",\"\\n\",\"# this downloads the CIFAR-10 dataset to your Drive\\n\",\"# if it doesn't already exist.\\n\",\"%cd drive/My\\\\ Drive/$FOLDERNAME/cs231n/datasets/\\n\",\"!bash get_datasets.sh\\n\",\"%cd /content\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Mounted at /content/drive\\n\",\"/content/drive/My Drive/cs231n/assignments/assignment3/cs231n/datasets\\n\",\"/content\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"collapsed\":true,\"tags\":[\"pdf-title\"],\"id\":\"0QQjjQQmv_nu\"},\"source\":[\"# Network Visualization (PyTorch)\\n\",\"\\n\",\"In this notebook we will explore the use of *image gradients* for generating new images.\\n\",\"\\n\",\"When training a model, we define a loss function which measures our current unhappiness with the model's performance; we then use backpropagation to compute the gradient of the loss with respect to the model parameters, and perform gradient descent on the model parameters to minimize the loss.\\n\",\"\\n\",\"Here we will do something slightly different. We will start from a convolutional neural network model which has been pretrained to perform image classification on the ImageNet dataset. We will use this model to define a loss function which quantifies our current unhappiness with our image, then use backpropagation to compute the gradient of this loss with respect to the pixels of the image. We will then keep the model fixed, and perform gradient descent *on the image* to synthesize a new image which minimizes the loss.\\n\",\"\\n\",\"In this notebook we will explore three techniques for image generation:\\n\",\"\\n\",\"1. **Saliency Maps**: Saliency maps are a quick way to tell which part of the image influenced the classification decision made by the network.\\n\",\"2. **Fooling Images**: We can perturb an input image so that it appears the same to humans, but will be misclassified by the pretrained network.\\n\",\"3. **Class Visualization**: We can synthesize an image to maximize the classification score of a particular class; this can give us some sense of what the network is looking for when it classifies images of that class.\\n\",\"\\n\",\"This notebook uses **PyTorch**; we have provided another notebook which explores the same concepts in TensorFlow. You only need to complete one of these two notebooks.\"]},{\"cell_type\":\"code\",\"metadata\":{\"tags\":[\"pdf-ignore\"],\"id\":\"vszXLZJ7v_nv\"},\"source\":[\"import torch\\n\",\"import torchvision\\n\",\"import numpy as np\\n\",\"import random\\n\",\"import matplotlib.pyplot as plt\\n\",\"from PIL import Image\\n\",\"from cs231n.image_utils import SQUEEZENET_MEAN, SQUEEZENET_STD\\n\",\"\\n\",\"\\n\",\"%matplotlib inline\\n\",\"plt.rcParams['figure.figsize'] = (10.0, 8.0) # set default size of plots\\n\",\"plt.rcParams['image.interpolation'] = 'nearest'\\n\",\"plt.rcParams['image.cmap'] = 'gray'\\n\",\"\\n\",\"# for auto-reloading external modules\\n\",\"# see http://stackoverflow.com/questions/1907993/autoreload-of-modules-in-ipython\\n\",\"%load_ext autoreload\\n\",\"%autoreload 2\"],\"execution_count\":null,\"outputs\":[]},{\"cell_type\":\"markdown\",\"metadata\":{\"tags\":[\"pdf-ignore\"],\"id\":\"PUyz4nx2v_nw\"},\"source\":[\"### Helper Functions\\n\",\"\\n\",\"Our pretrained model was trained on images that had been preprocessed by subtracting the per-color mean and dividing by the per-color standard deviation. We define a few helper functions for performing and undoing this preprocessing in ```cs23n/net_visualization_pytorch```. You don't need to do anything here.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"X1Xs5JL2v_nw\"},\"source\":[\"from cs231n.net_visualization_pytorch import preprocess, deprocess, rescale, blur_image\"],\"execution_count\":null,\"outputs\":[]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"WuKhsa_lv_nw\"},\"source\":[\"# Pretrained Model\\n\",\"\\n\",\"For all of our image generation experiments, we will start with a convolutional neural network which was pretrained to perform image classification on ImageNet. We can use any model here, but for the purposes of this assignment we will use SqueezeNet [1], which achieves accuracies comparable to AlexNet but with a significantly reduced parameter count and computational complexity.\\n\",\"\\n\",\"Using SqueezeNet rather than AlexNet or VGG or ResNet means that we can easily perform all image generation experiments on CPU.\\n\",\"\\n\",\"[1] Iandola et al, \\\"SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and < 0.5MB model size\\\", arXiv 2016\"]},{\"cell_type\":\"code\",\"metadata\":{\"colab\":{\"base_uri\":\"https://localhost:8080/\",\"height\":83,\"referenced_widgets\":[\"eb70b591616243beb2d3db3e0ab8de87\",\"1baa4492d80f4d12af995a8200dc74d4\",\"fc67db282e6141f9b1210ba899aff3ac\",\"a4b512ac2a45485dbb8516c8bcbfdd83\",\"51129f5603934e348dc6d335e59b308a\",\"6daf6586287a4932ba034a5aab60312b\",\"fcfddf08e1f44db49645ce5768ab3071\",\"6daae6e6980a4db69e19726365188d5c\"]},\"id\":\"gZMt8W_2v_nx\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1614286316147,\"user_tz\":-60,\"elapsed\":2738,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"3e23d2fd-e072-4b42-9fb8-0b04053ceb25\"},\"source\":[\"# Download and load the pretrained SqueezeNet model.\\n\",\"model = torchvision.models.squeezenet1_1(pretrained=True)\\n\",\"\\n\",\"# We don't want to train the model, so tell PyTorch not to compute gradients\\n\",\"# with respect to model parameters.\\n\",\"for param in model.parameters():\\n\",\"    param.requires_grad = False\\n\",\"    \\n\",\"# you may see warning regarding initialization deprecated, that's fine, please continue to next steps\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Downloading: \\\"https://download.pytorch.org/models/squeezenet1_1-f364aa15.pth\\\" to /root/.cache/torch/hub/checkpoints/squeezenet1_1-f364aa15.pth\\n\"],\"name\":\"stderr\"},{\"output_type\":\"display_data\",\"data\":{\"application/vnd.jupyter.widget-view+json\":{\"model_id\":\"eb70b591616243beb2d3db3e0ab8de87\",\"version_minor\":0,\"version_major\":2},\"text/plain\":[\"HBox(children=(FloatProgress(value=0.0, max=4966400.0), HTML(value='')))\"]},\"metadata\":{\"tags\":[]}},{\"output_type\":\"stream\",\"text\":[\"\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"tags\":[\"pdf-ignore\"],\"id\":\"Y_f4TpgCv_nx\"},\"source\":[\"## Load some ImageNet images\\n\",\"We have provided a few example images from the validation set of the ImageNet ILSVRC 2012 Classification dataset. To download these images, descend into `cs231n/datasets/` and run `get_imagenet_val.sh`.\\n\",\"\\n\",\"Since they come from the validation set, our pretrained model did not see these images during training.\\n\",\"\\n\",\"Run the following cell to visualize some of these images, along with their ground-truth labels.\"]},{\"cell_type\":\"code\",\"metadata\":{\"tags\":[\"pdf-ignore\"],\"colab\":{\"base_uri\":\"https://localhost:8080/\",\"height\":169},\"id\":\"Jxw7CNLgv_nx\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1614286326185,\"user_tz\":-60,\"elapsed\":7021,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"b5b711e3-de09-4956-f660-b46991b3b603\"},\"source\":[\"from cs231n.data_utils import load_imagenet_val\\n\",\"X, y, class_names = load_imagenet_val(num=5)\\n\",\"\\n\",\"plt.figure(figsize=(12, 6))\\n\",\"for i in range(5):\\n\",\"    plt.subplot(1, 5, i + 1)\\n\",\"    plt.imshow(X[i])\\n\",\"    plt.title(class_names[y[i]])\\n\",\"    plt.axis('off')\\n\",\"plt.gcf().tight_layout()\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"iVBORw0KGgoAAAANSUhEUgAAA1UAAACYCAYAAAAMYcMxAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+WH4yJAAAgAElEQVR4nOy9d7gmR3Xn/zlVHd5009zJo1EWlkQSYCG8NmGN1wsYh7V3nXCAxeu0ODywz9pr+NmYx3jX2casI2sMGGwRTLIxxhgQwQgQAkkoIY000uSZm+8bu7vq/P6oeu+9M4xGozga1F89V/O+b3dXV3edqj7f8z1VLapKjRo1atSoUaNGjRo1atR4cDBnugI1atSoUaNGjRo1atSocTajJlU1atSoUaNGjRo1atSo8RBQk6oaNWrUqFGjRo0aNWrUeAioSVWNGjVq1KhRo0aNGjVqPATUpKpGjRo1atSoUaNGjRo1HgJqUlWjRo0aNWrUqFGjRo0aDwGPG1IlIntF5NvOdD1q1Hi0ICLnikhXRGz8/gkR+YkzXa8ajxxE5GYReV78/FoR+ZszXKXHFETkJSLykQ3fv1lE7oj95HtEZJuIfFJEVkXk985kXWs8OIjIS0Xk02e6HveHjX31bMbZ4Fs9lur4cD+HReRXRORND1d5NR4aHjekqkaNxxtU9V5V7aiqO9N1qfHwIDr/4z8vIoMN31+iqk9U1U88DOc56wmZiJwvIioiyfg3VX27qn77ht1eB7wx9pP3AT8JzAGTqvqqR7nKjwtEB3dst4si8o8isvtM1+u+8EgFox6uvlrj8Q1V/U1VfVjsM46XF5/w21n/LBhDRJ4nIvsfyXPUpKpGjRo1zhJE57+jqh3gXuA7N/z29jNdv7MQ5wE3n/D9FlXVM1Sfxwu+M9rwDuAI8McPppCNhPnhwFjVfyTLfKh1friv+dHE2Vz308EjYI+P6fv1WKzfma7T441UXSEiN4rIsohcLSINEZkRkX8QkWMxavYPInIOgIj8FxH54sYCROSVIvL+M1P9Gl+vEJGnicj1Me3oahH5OxH5jZOlsmyMJonId4jIl0RkRUT2ichrN+z3NZH6Gl/fOEmaSyPa02q0r6du2HeniLwnjn13i8jPx99fAPwK8ANRTbgh/v4yEbk1lnWXiPzUhrKeJyL7ReRVInJURA6JyMtOUc9PRPv+t3iOD4rIrIi8PdryF0Tk/A37/1G07xUR+aKIPHvDtmeKyHVx2xER+f246ZPx36V4jm/a2J9EZA9wIfDBuP1vgR8H/mf8/phIF/p6hqoOgXcDl49/E5EpEXlrtMt7ROQ1ImLitpeKyGdE5A9EZB54bbSbD8T2/zxw0cZziMilIvIvIrIgIreLyPdv2PbXIvKnIvIhEekB//6EY18PPBt4Y7SJNz6YMmO//CURuRHoiUiysa+KiBGRXxaRPSIyLyLvFJFNcdt4HH+5iNwLfOzha4GHDVeKyC0SfKg3i0gDjhsXfklEDgNvFpFcRP5QRA7Gvz8UkTzuf42IfF/8/M3xur8jfn++iHw5fn6piHxaRH43nvNuEXnhg6ljLO/FIvJlEVmKY9JTNmwbt8tqPP4/bdj2NfZ4mvfrIhH5fLTZ95+qreUk6soJtrOmJG04/sdF5F4RmRORV59mne4X99GemyX4zUuxP3xqQ389TvmKfeM34uf7PO4k5z3V+P9aEXm3iPyNiKwALxWRTbGND8b2fp+ItIF/AnbKenbHzvuxx9Ou4xiPN1L1/cALgAuApwAvJdyDNxMilOcCA+CNcf8PABeIyGUbyvhR4K2PUn1rPA4gIhnwPuBtwCbgXcD3nebhPeDHgGngO4CfEZHveSTqWeOsxHcT7GkT8A7gfSKSxgfDB4EbgF3A84FfFJH/qKofBn4TuDoqYGMidhR4MTAJvAz4AxF5+oZzbQemYnkvB/6viMycom4/SBhPdxEc4c8SxuJNwK3Ar23Y9wvAFRuu410bnKI/Av5IVSdjOe+Mvz8n/jsdr+OzG0+uqhdxvNr3Q8Dbgd+O3z96irrXeBggIi3gB4BrN/z8xwQ7uhB4LmF820jQrwLuArYBrwf+LzAkqF7/Nf6Ny28D/0Kwma0Em/sTEbl8Q3k/HMuZAI4LYKnqq4FPAa+INvGKh1DmDxHG6GlVrU64FT8HfE+83p3AYryujXgucBnwH3ns4SWEel0EPAF4zYZt2wn99jxCeu2rgWcR+vNTgWdu2P8a4Hnx83MJ7fycDd+v2VDuVcDtwGbgt4H/JyLyQOsoIk8D/gr4KWAW+HPgA2PHGthDINZTwK8DfyMiO06ox0Z7PB38GMFOdwAV8IYTtj/Utv4W4BsI4/qvnuDDPlSc2J6vAvYDWwj34FeA01H6H8hxpxr/ITzn3k3wg95O8KVawBMJffQPVLUHvBA4uCG74yCntscHfG2PN1L1BlU9qKoLBIfiClWdV9X3qGpfVVcJneK5AKo6Aq4GfgRARJ4InA/8wxmpfY2vVzwLSIE/VNVSVd9NGETuF6r6CVW9SVW9qt4I/C3RfmvUAL6oqu9W1RL4faBBsLcrgS2q+jpVLVT1LuAvCQ7iSaGq/6iqezTgGuAjBGdjjBJ4XbThDwFdwoP9vvDmWN4yIYK4R1U/Gh3OdwFP23Duv4ljdaWqvwfkG8ougYtFZLOqdlX12hNPVOMxh/eJyBKwDPwH4HdgLVXuB4H/paqrqroX+D0C+R7joKr+cbSTghCA+lVV7anqV4C3bNj3xcBeVX1ztJ0vAe8B/suGfd6vqp+JY+jwNOr+YMt8g6ruU9XBScr8aeDVqro/+h2vBf6zHJ9l8Np4jSc7/kzjjfHaFgg+1A9t2OaBX1PVUaz7SwjjxFFVPUYgKuP2vYb159dzgP+94fuJpOoeVf3LOGf4LQSCsu1B1PEngT9X1c+pqlPVtwAjwjiJqr4r+o1eVa8G7iA43mOs2eMDaJu3qepXoqP//wHfL8eniT7Utv51VR2o6g2EwNlT7++AB4AT27Mk3Pvz4tj/qdNMnz7t4+5n/Af4rKq+T1U9gVi9EPhpVV2MZV9zsnIjTmWPD/jaHm+k6vCGz32gIyItEflzCWkGK4SUkekNBv4W4IdjBORHgXfGQa9GjYcLO4EDJ3TWe07nQBG5SkQ+LiFVZpnwcN78SFSyxlmJfeMP8YGzn2Bv5xHSIJbGf4Qo3H06JSLyQhG5NqZBLAEv4nhbm9fjI/B9oHOKuh3Z8Hlwku9rx4rI/5CQergczz214dwvJ0Seb5OQNvjiU5yzxmMD36Oq0wSS/wrgGhHZTmjTlOPHv3sIauYY+zZ83gIkJ/y28djzgKtOsPOXEKLtJyvvdPBgyzzVec4D3ruhvFsBx/H98YHW89HEifd/54bvx04gqzv52vYd7/9Z4Akiso2gHLwV2C0imwlE5pMbjlvz51S1Hz+eary5rzqeB7zqhPbcPd4uIj8m66mBS8CTOH7cezDtcmJd0oehzI34Gl/3NI9zsS4bkRLIxRgntufvAHcCH5GQFv7Lp3mu0z7ufsZ/OP5+7QYWVHXxNOtxKnt8wNf2eCNVJ8OrCIz3Kg3pI2OpWQBi1LMgRGR/mCAr1qjxcOIQsOuE1IVz4789gowNQHQ8NuIdhDTV3ao6BfwZ0XZr1CA8YIAwbwM4BzhIeAjdrarTG/4mVPVFcffjonExFeY9wO8C26JD/CEeBVuL+fP/k5C+PRPPvcz6GH2HhtS9rcBvAe+OKVr1YhOPcURl4O8Jzty3EFZeLAmO7hjnAgc2Hrbh8zFC+tTuE/YfYx9wzQl23lHVn7mP8k5azRO+P9gyT3WefcALTyizoar3dd2PNZx4/w9u+H5ivQ/yte17ENbI0ReBXwC+oqoF8G/AKwlK9twjUMd9wOtPuPctVf1bETmPoOC/ApiNY89XOH7cezDtcmJdSoLtn6zME30ASwgmPBK4l5CNtREXcDzpOO56NSjKr1LVC4HvAl4pIs+Pm/tsqDsbAg/3c9wa7m/8P0md9gGbRGT6JNd3srY6lT2eVh03oiZVIed5QJjMvInj8/jHeCthnlWpqo/591/UOOvwWYJj8PNxvsv3sp5ecAPwRBG5IuYQv/aEYycIUZmhiDyTQPxr1BjjGSLyvTGN6BcJaS3XAp8HViVMOG6KiBWRJ4nIlfG4I8D5GyblZoSUi2NAJWFS+Lfz6GCC0D+OAYmI/CphXhcAIvIjIrIlKnFL8Wcf9/eEuTk1HoOQgO8GZoBbYyrXO4HXi8hEdGpfCZx0See4/98TFqxoxXlNP75hl38gKB8/GsfWVESufIBzTI5wvA09HGWeiD8jXPN5ACKyJd6XswX/XUTOiT7UqwnTJu4Lfwu8Jl7jZuBXOb59ryGql/H7J074/nDX8S+Bn45ZHyIibQkLQE0A4+DMMQiL9RCUqvuErC8Wcf4pdvsREblcwpzC1wHv1vt+9clXCQsOfYeIpIT5Pvl97HtKSFho4lQk8GpC25wjYfGUbwO+kzBf6b7KfLGIXByDwsuEAImPm79MyPSyEhZAeu5pHrcRpxz/T4SqHiKkk/+JhIXoUhEZiyVHgFkRmdpwyH3a4wOo4xpqUgV/CDQJUYJrgQ+fZJ+3ETrS18Va/TUeW4jRuO8lLJyyQJi4/fdx21cJg+5HCbncJ5L6nwVeJyKrhMHgndSosY73E+xpkZC+/L0xN9wR5oZcAdxNGP/eREirgDCnCWBeRK7XMN/05wn2tUgg7x94lK7hnwnj8lcJEdMhx6d7vAC4WUS6hEUrfjDOJ+gT5k58JqbuPOtRqm+N+8cHY3utENrox1V1vLT9zxGi83cRxrt3EBYSuC+8gpDedBj4a8JiJ0CINBPI/w8Sos+HCWrmA3FK/4gwv2lRRN7wMJV5snN8gJBmtErwRa56COU92ngHYY7lXYSFHX7jFPv+BnAdcCNwE3D9CftfQ3CkP3kf3x/WOqrqdcB/IwTOFwnpXi+N224hzOn7LMEhfzLwmfs5z27COHXgFPu8jWCrhwkpsD9/XztqmHP6s4Tx+QChbzzYdy3tJih/94XXxe2fJtyL3wZeomGu4n3hEoJ/0iXcpz9R1Y/Hbb9AIGXjFNn3neZxG3F/4//J8KME9e82wgJLvwigqrcRSNRd8Zmwk1Pb4+nWcQ1yevPJHt8QkSahYZ6uqnec6frU+PqHiPw1sF9VX3N/+9aoUaNGjRo1zjxE5DWEeUd/fqbrciJE5E3Au1T1n890Xb5eUb+/5vTwM8AXakJVo0aNGjVq1KhR42RQ1VOpdGcUqvoTZ7oOX++oSdX9QET2EibE1e/+qVGjRo0aNWrUqFGjxtegTv+rUaNGjRo1atSoUaNGjYeAeqGKGjVq1KhRo0aNGjVq1HgIOGX633e++hMKBktYU1JFUANhQUYJjEwsIg4wCCAIioBRVAyiHjAgghFBYW2/UJCEz2Z9yXmjoALj1/aICCKCqiIGvMajRACNZY33BcVjxYZziQnHCYBHjUG8IigaahoPEsQYUI/iQSQeE+sXqycKmHDtRgRVWauwxMsI2p/BiqdCsLGuKmDieVXAiMHH+2E0MFwn4/vD+jbCtY8xvh+VQiJhjUfjQUTReO+8gKjBju9bLENE1q5bEMSENviDl19wdr/bSI8+qpJruGu64Xtof1UFjSa1sUZCNGpdf1OCxFYetx2K4sY9C8UHG/cOpIq/lQjx/apSobh4ojLatAP1iFhQD3i8+Ng7QeNvoT/5WC1BcECFaLBNVEEUxaLqwvHi8aoYsei4J2sSrzUJdVWLiouXPP4+vmYDuGCLYhANxq4kJ7zsyKJaYSSJt6qMd7tA1WPtt521tro0GKm1SlEJxoJ4wRgf73noo6mE9WMrraiKijQvKSshS0BVcB7wFmNDG1gD3oM6G2wnGaKi+EpRVbw3GKsk4hgUfX73g2+mV3qMKh97z0eYbTZ5zS/8Ct/0jVciVihXlsgWR0xdchm6uoi4EVoV3LvvMA08W5/4NEgzIIxFq/0e3aV5tu84d60PiIbx68tf/hxXXPFMVBVrbbQ7ePf7/55vuvJKdmzfibXhPeuKMhgVfPAfP8h//s7vwCSNtWeAqtJbOYoO9pMaoccMk1MTiBpwfX7qh1/KC1/+33na+dv5l/dczQ/+0utJUfbcfD1vfMMb+d//5/Xs33Mbf/Gmt7C9BTsvvIS9e+7lPR/+COKiLXsQA/9y3XVkvuL7v+u76VxwMa/46Zdz41338DM/8jLuuvUmdu7aznuvfiv/+tFreOUv/y+m2g1uOLjEC571LIbdRd7xjrey79ARfucP/+KstVOAn/kf/1VXmwM+/c6vUHY9qToqteQmI92dYLKUwf5VOuc2cUBjagfbntFh+cv7OXDtPEY8lpRUKqqsyfZzWxy6dxUtKjoXT7KyZ4FvfeV/4IYPf47B4pDmxSOOfirl5b/+i+zdfxNPueTDvONNOc55kmIbrjli4olK7+YehfNcet4MB27rcrQSdmxuMLIjVkcCktIe9dlUpSwOHOnF57N0yx2YdkLllMLZMMJaxWaWQbdkOk3o5QVVmZFnlvZuSJxjx8wm7uovY0uHP+yYHszgDYhz+DTFJCnLc/OkxlLOVExcnuJ6hv6+EZtnldtv7GESob3L0prMoV2SVp7VRcPCngrvHVYMCYayVERLtm1pcezogEosjbZhMBixvZ0ieY6vcuZ7fapywMXfspkXvVSYP3Yxd3x2kZs+fhfNLMG1GvRXe0w2SvouIekbTCdFVbCTQivrUPZWGfUdZb9Pe3vKVz5501ltqz/3ul/Tbm8lvLnWl/R6x2hNzDI1uY2lpSM4TRgNV2imTRqtJkmWU5WCUjIztYu5+QP4ypM1oHIrjAYDGo0W3htKk7J5ehuJmaI3WEAZYrAYyRgOe6AFWMNEewtp0iCxLbZvPY9ud5HV3jxlNcRaw/JKn2+64koWV3vcdeAmmo0OVWnI8wZbZnewa9uFVJWn9D2WVxZZWDzKvQduYOfspbRaM7TbHRJJOLZ8kMqvYEyHNGuQiWXn1u3s2L4LUBqNnG1T0xRFwaH5BW7ecyfz8/twpgDTYHtnO5dd/AQmJqewNsGgiBGSNOHuu+9mWBQ0Gw1mZzaRNnIOHzzC9FSHJDFAk96wx+H5OVb6x7j9zmsZjlYpihHNbPOafzk7fQHtdos0Ten1+uRpg2aakWc5nYkO26ZnKV2FGMNqv4dNEoZlyaGjB8nSjKr0JDYjaST4qmJ5+Qi33nEtVTHk7W/4q8e0rZ6SVIkRjJrgqEVH3oqiIoEcxAeeIThZJpIbFcWoxO0GI2bNjzRjggTR+Yz3RxVjDCISHDcITuf4obpWK4M5jnARHdbwr6gEhzI6gYiPziyAYNSFeok5zpETEQQf+F90BA0Wj1uvhtpIQgK8hHINhjEvXCOWBjyGBEWNYDXcLw2sjwTBGQlkKjqyXiS+zVLwRgNXI5IxtWvEShkTLkVVSETwEqiSj9pj4kFNJJ3jdhLFGMFpoHZWCF5E/a7Y08I6sVWIFh/g4/b4+gJRvDpEIxESB/GzeBDxKFUkQxXgIqGqENb7A+JQHZN7BTXxswME9SbafLQI0UCKAKWIAQWH4EPdhEiUHKom2oWP5zKoGhCLRwivJzLhnASiJBoJPhoIUaT+ojaWA2BjrMSGOpCGI8RHspgH0qcOJEO1AkwgWeOISexzXn3o1l7BeXAOijK80eZshfGUCg6HqwxZKlTO4z1Ya/Haw+HxXnDekCQayK9avDrUG0RTvFckqTAGvDd4UUxaYCLJ9qpkqaFykCRgxKMaxuEszVktB6jxiIKIpfBDoMJ5xZWGsRVpIoiG8Ww97qVrQy6EwJWIHDeMqAmWrHGMPzHN3CKBCcJasAdC4M3aBDFf+2jy6snTjKoqMVJAVVC5Aj/qM7+wRG80pPQjFhfmca4iMZZ7b7sJEY8kGS7JOf+qb+aVP/UKrv3Xf6QqDW/7f3/GPbfdwDuufj+Jeu4+cpRBr0evN0flRtz52c/wis9+CjWWd/zpX/CUK6/kN1/1UxSaIEkOaUZ7YhOj3n5MnpD6QDDEnv3TlT/2iRsZVgXlSknSzhn1oLOtQepLBisOGo7JJ+ykKob09s6z+VlDbn/XPlaO9Em8J01zvK3wYmk1M5aXBmQtQSSjWt1ElvT52J9/nLQBVAnnNTZxyS9njJZv5kvX3cmlu5Tt35DQbJa8+Ft/nj/99dfRGjyV4Y7DPP+pz+DZT9/FH//JW7jAVQwuHDK80aJ+wLmXK0dXKvYfgvbWCYaDI0huGRaWoesyPTNFf2WAuIzhYETplYX+kIYGx7EYFPS+PESHyuiyCp1uULkMu1lIDiVgKioREIfgcJbgKYxSDt+Z0G57qryicAliLFQVaaNBlSgzDaG/6FCvXPislOV7cub29ClSh6il8Mr8UkGVO7Q0mMxCP2NlULJ9Z87E+QVH/9WTJRnietz+qSkOD29nz+eUxnSHwhWIKcmakwzKksyXjIyjWu6T2oJhX+jJImWZs6nTwMzsoFwqz7SpPWTctecmNs1uI8/aLKzMkyRN2u1JlpeXOXT0bhJrmZzcSkV4Ws/PHyNJMrK0w2g0oKxGiCi9vmP3OVeSt6bpDxYoyj7tLGdldRFvjmE054mXfSuJbXH3vutYWNpHljaYaG+lqqDXXWDnzg6LS8dotye4aNsTKYoKQTl39/ls3bSDO++5i7mlo1jJaU13GJVDDhw+wL6De2g1m8xO76bf77G8vECnvY0RFf2VQyz3LBOdCfr9JRKbMz29hc2bN5PZhGaWcfToHFVV0GlPUo2g02lhbcI5O7cjfpmF5S6ZbXHOrl1MTU5SViWj0ZCyKFhaXmbzli3s2nUO5bCkKgt6q136x47RabXpjQqW51Y5cOAOekWfld4CRoTd25+BNQ16g6MonixtkucJRlLStAko7fYEm6ZmaKY5WZLQanegqmjYFkfn5+j1+/RHA5x39Hqr+GaTshzSH/TxTmk2OmRZxuL8AbLkoby14NHBKUd+OyYXYvBYRMbaCahJIrFSZM1BEzweG5UpGItAihBUGTP+HYIjtyZSrcf9rTH4+BA2UX0RA+JNTFgclx1lGcbkakzYNDqFUQnbQMIgZUzxFMUIeDSUhQmHGBMIFopl7DAEdYtYvmVMGoPzEUiZxH8VL2sXj0FwEvZDg0KlMlaXJJLU9TeKCYJ4WVfrNEScNXo1opFHGgkRYRlLI2u3HbXr98kgVPFagpIl2Fj3KLyd/YjG48cOX7Sp8QaJKtHYt1sj5ZHd+6ixhrKiMiIukpxy7U91ABSBqHhZI+2BZJQhAOEsSIn6EaiLaowg4vGiSGIQUbwYzLhCSiAdalBjgwqlliAkhv6kY5PeQGjQsfLoUU1iQRp/HxOZDJUKyNacaKJ9Bw1zrDSHE4w157EaJVGR1bFqi4O1MpINdpsElVcllpCNb/CGZvKoOqhK8MOgplVJ6BrVCLwFX4ErEAe4EgrBU0IBrnLYs5hUjQrFA9YIIkpVgRiH2CrYjFZUZYqIJzGOqrKkqWBtbCMBYwrUKmUVlKmgpFc4X+EMOGfIU6hKg7VhnCwqiyo4FSoBxhYvgdL3hz2cevCCaoV3Y7U+ASkRDMYm+HKErypMlq/1OQNUzo0ZVLxSjapVFcbfjYOMKjZNWH+vcMDY6oyRDeXEbSIYY9BKcF4RC845KmlQFits3bmDqazBaASkGb5ylOKhPctEe4I9+w5RFCPOn93M9bfeysz2nTznRS9muddl+sIr+Hff0+aHX/aT/NVrf4FGaslnd7B10xZyX7HaG7LQH9E9dICFg9uQvM17/+Yd3L3/AP/tJ36Srbt2MzO7mWc+6yq2dzqMioI8few//O8PzYmKVjZBdnGLhRsOkGzJKLolg4En3ZVh54asLO5jx5WbyYtJ7rluHj8qSLwnS3LSGCjECo1Ok8HKiF/7/W+ns/k8+vfu4YYbruKfPv5unvCEb2b/0iGmzr2UVzz3+fzdP3+MC879Zj57y4Xsv/UTiBquvuV15Jky95UbWZ3M+Ng11/Dl6yeZP7SKbJlgZm+OMg9D4d4bHedfdA53Do9g/ICqW9DrFySTTVJypmcSqsOKawxoZCmWBDEZ1dChpgp9r5XQurRJebRPrl3cCGT7FCpDcmNInTA0FoxF/CrWJHinWCeMBiV26MgaOVqOGDnL4u1d2pszhn2LaxrytidvWs7/Rhh2Ld3DI3xDyTZZnvGETdy9Z8DRYwXTOwp6CyVl2ubgvhHVXshEGJUFt3/ec/hISZK3MZOGdjuhX2W4+QJJWxhG9Lu9qBwrJp/BaoH6CtWSZZexKa+YnrJn2tQeMqpyyMF993D++ZewZdt2qhK6q47ZTdvp9o7RyHI6E7vImk1WlueYnplkcXGRouyT2JzJzk7EeuaX9rKwuB8W7qHRnCBNU7q9LqPRKmmSccF5TyDPU5aXFqiqgi2bLiBLJhlWXcpqQJpBUXbpdo+wtCocnZskS5sAHDy0j0G1SlWOUCmYmdzBqBqwsHwEmyY00jaV8xye20OeN+lMdBj0PSYRWs0JrCSoF87fdRnTMxM0G03whCCThQplavMmnHNcf9sXODZ3mEsvfBqbt27m6U95Lokx8bkDo3LEPQf20+122bl1OzZL+dJNN7B71y52b99FljRIGikdJsBbrrvlU9x6xw20mlvIm5ayqnCFcG//NhqNBjt3XEjwJ0pGQ5jdtIUsT1haOsqxucNYL7S2bmc0HJHn4dkxN3eM4WhEhSfLc47NH2GiM4X6lNbkFBMTJeJL0qxFt99ly+ZzWF2ZO7OGdho4Janyxq+pSiam6lkMDgnRbmMRH9PggmSDaAJjxSem/8g4zU/9WlRz7M4Fh9OHBykQiI1iTFTCPFgTlDCxZi0tKTyxx4THH6dcqQbHT8SEyLoZazsmuI1rxC6QPaN+7bigRG1wBMfXjwnR2uhYquhaGt6YWK0l90lwL12UVRm7o7LuqAZ1a5zyJXgZu7SsRXxlrQqReer4nERiFyPKUaHT6MCOCeJa3VSw6747NrKysYtszNk/tc4t3oWkitrQTiH9bdwmnnGq6ThdTr1F1KPeRbHGh2i6r3CVR7ziyxKvAkL3nugAACAASURBVFUBzuOcINUIE1WooPFJSMOyDomcXDIFScECaaxLQvhuBXUaiLuxqDXBfgn/hlYvgr1JAZJGmmgCfyMhFDYOXIQ+Rky5GzOvoFL5kNqnBiEQLpX1PhR+q2CcZiehh68FLSCSpPHxgJRAilKG83oXck1VUR2Cd6jzQYFSj5SKOg++ClxVCfezCsKTOEdZOcQrVSU4X1I5QVyBw2C8Qz1BpSEIWTsfYVt6JJFlFWUVVEDvIUn6eD8KJFgMrkrDfTUO74Ptlg4SY/HeYQScgnchTKVSYdKCovBYychTxRmP9xZjHZUXnLOkSUHlwziVGMtMp8NyrxvMx5WMBhV4H1L0kg0pmxJVcRGMTaiKIa4qg7qu62THuepEHhQUM+83KFHraq+K4E66SFIY6zQSJ41ETb2nchUrS8sgKUnu8DrE6YjPfv5GpiY3ccNNt9Bd2sLmi5/Me9/1Ls7ddQ4HjizwlGc9j+v+7fPMTHeQvEExf5jW7GacWJI0I88yjh48xGDxKJUYVrur5BMTePH81ts/yGwy4Gd/9hd4/pWXQVQe1JcYD91jR+gdPcrdAj/wgi/w8U99hs9f80lWTOORM6JHCaP9Q3pJQTJcRKYTpAoBVJN57NGSyickuWOwp6B9boPO5S2G8479/3aAzChkgvHQMJZWKlR5wh//9keZP5az+7Jv4NkvgpW3eQ7PfJlJ3+Dwvtv566u/ypc/cIhnf/eF3HnTUfpFE9coOVcupHnOClc95/v4+79+E2XTc+ULHQf3TeD2LzFx/mVIsoLNE9qbn8Ldd99FWnr6i13wDfJmytZLEvpzhqNHVhkoJD4lcQJlRWmgaaDrhqgKsxfOorakP3DMblP2fLUg21uxadcOCucRX8UgQBkya7zDGodTIaksdD0yU4E1ZHmKXx6w0C/oLgi7n2joi0dyTzO1nP/0jJs+6jl/57kMZ++mdClPvvwcrvn09czsanBsryBWcAPFJpZRooiHyUZGdaSBn0hoXWBZ3l+STXnKfkXFENwQN/S0s4wV9aS+RzXyWJND25AMoek9e/YsnmlTe8iYnt5KkqZUWjF/eI48y8mylKNzA5KkwdatlzEqlxn2lsnTnNGwh5iQIl1UK5RVLwb4lNXVI+zcdTmuUow1TDcm8dUIh+PY/Bz37L+LxIC1CRMTmxBjKbtdmo1ZDDkTrRl6vbtZ7R9jom0gAZNYilGfYTFgcmKKYpgzGAxptDPyfIrp6VkGvWUksYhvk2dNJienSKxhcX6BsizYPLuFHdt2sGlqGjAsLS0yLAdMzmzCWsNIS47NHWZ+fp7V3hzD0TLX3/wppg/McuWTvoXNs1OkxrI8HPK5L32OvNFk85YtNNotKu+Ymp7k5jtv5uCxQ2zaNEsza9Bptzk8P8/i0gpTk5sZFQW97pDV7gKzs1vpdQf0Bj3a7SeTJk2Wl4+gOmDfgS/hFVqtDsZ6ms0meZai1uIqx/LyMovdFSRmxpRlSSNvMdmZYbLVwdogAJTlCAfMLc4zObMNdxZkVZ1aqTImOuGyFo1WUUKMOkTRrYALWUjYIMMQkgOjY2ZC2okVUBtJzZhQQZyHZNeinMFRCGlIEvKNQsQ06giBfI1Zx5hQjaO1QFSfwBC4wvp8jpCGGBUwBI1pi2Fyw7oqZkTwakLaCOvnj1l+8dRm7Ro2VsfGevoN6YVr5FEJRGisOhCULLumZERnQtZVk7W0SQU1JjoZ8f5pnCM2VqREQnoZYY7G+D4rHozBImGulWjkpRKj0ePWPXux9/qbSBJDZoKT56Me6VWoopNWquBcyCQrvcd5R6UaFCf1IY1OlESE1EJiPEYTGkmJMUKeCFY8aRgnQ+THKlQGTQmdYQwp0cQGD1g08J5EwCZIIoFMJYTUucSixkR5MZAeLzYGDUxMr4vFjlNb1/40kukkkv04Z2ktVRCCepUwVreCQhBTENEYhBBEHcooPFywgfU4hzpBXYE4C75ASxBfBVt1HvU+ZDd6h/cVlErlKtQZ1Fe4UkALKirEh7legTDE1EbvqQj9zRPSXn0MeDhRrFNKifMgznJb9QrqPdb2cVKiqlQ+hFlcKbgqzH/KEg2Kjg0pol5DimClFmMUa2OgQKGqwlgtpqAsE4wFTBk+G0iSISIhWbUYJiAVuKjFxzSAXtVFcZQuBMUS72BtrCQq7FCpp3KOxDvG6a9h2p8LY6eRtTlVKuB9SFUdE7TxqBbmeroYzAhnUVXUK845RmWJrxyD4RAvQn+1x96v3kC5cgglwyctkjSn2Uy5+aY7ufPQEu3+bXzxc59nx44dOKccPm+euaOHKauKNEnYtmWWpz7jaXSHjkm15I0MXzi0ZSjLER+99lompmdZmDtCWxwYy499/3/iQ+95O0tLS+x+2jO57NLLKH3B817wfL78xVt54kXb2Tw5yTvf/2GSTg6qDLsD9t57+6NqV48Eikrwy8rIevyckieWtJUyKi0jPNqvaLQnaD5hC841Wbpnnrk7FxERSlVsBalNwVoGZZ/B8pBB15AmwvnPhr/7rU/QaCr7blzGygLT+49y3WcMMqr4xNtuglww5zVIVpTLv+sb+dcPvYOOn8OVnh3nTnPongV8VTJRZLjBUYzr0J7uML+wl3KwTFZ5spkGg65BsoSsOIdedoDBSkW6pYlVy8AV5AWk4tC2QZfCE9xMt0iLLstOmey0SBuGqg8Yj/EOn1mcJhgEa3oUJiFxgmZdypElKz2aaHAOjUNbLawtEWO5986SidQgOxJGzmNyyzlXZPTn9vPvnzPNbZ/pcHD/XkbecvM1RciIHvaxJgErpAJkQtnKsc6TFAXDe1vsevIq936hSTEsaDbKkCKcNSksTGTQXx3hMbSSkEExKguOHBxibXaGLe2ho99bYjjsMjG7NaQ9D/s4lwIpJi1ZXFqgKBYp3Qh10GwlNLJp8k6H/mCZsuiT501mNu3COTh4eD9pVmGBbdvOpTtYIElgddXTbm+hqnqMilWKssfM1LlYMVSuT1Eu0hvOgUKztYUkCWrSoDui3ZygkU3T68/RaHZQBV8OaDRSBoMFfDlkZmqa4cgwHKwyPTnJYNBnx/ZtNPKcVmMCmwiH5haYW7iXsqzo9QeYgzAaDULWgyhZltJsTpLnHUblgJXuUb54y7Wct+sJ7Nyxg33791K6Llo4Dh90DEchaDwzOcNEZ5Lb997GsYUjNPIWIgnOFYhJmJrcwvLKPMvdOYqqz0R7MzMTkwyGXQ4euhvvLDPTm9l9zqUsLh+hLEuqYsS2qUnyNMNpFEaMUOBwWrK6skRnohN8UjF0e8u0GjneeawJc7BHRUmvt0AiUxTVnWfY0u4f95P4bQLREINdi1quLzZhzHriEIR0puDrBWXExYh54DjRcQPGqSEhAkp84EalZgNBCels44i8Wyc3ItHxE4wk+PGE/jWlxsSCQmT2RCVmnYBF+iesRV0hpKoIGtSktZQWwRgQH1P8TJDUQ+qgrKliY2dQrMT5IWHe1FpmmYyVvUh64n0x8ZqMWbshx0V4A5EKN94E6gnGri/fKOC9JzGArCtYGonbWCOzEtvMjOemhbtwtuPzdx2L9yXOxYnpfmspbWvXaxBjyKzBmuigJgmpDXZsbfhzBPUPU1I4aKAUVezoqjjW1S2beHAWK8kaMSYVxKTQsEEtSoAkg9QHgpOE4AMmzAFUKhCL6rh1Q8AgsLEwuT/OZAxtqZG+C1FFkjh/qhHVJIf3Ct4F9dgNo0KngSiVQ3BVUDgrHyKuXhCvqIv9yzmoCpzzeCdQQekqqCQQKCpQCf3cERSGOKcr1RLFUqglkZKK0CdFFK9BmXMa5vRYYvoiGq5XHUYt3hhQRyWCoULEUJ5M3Dir4EnSgmFRYRAKB/gMwVD5CmMciY3z4IxSVg7nkmCXAmk2isodVEUW7lxc7EJISRNhNDCIOLJsgGhCUcZxRKHVKhBJWRl0aWYZ4sN8u9WlklFhybIKkjIqgwrOoz7Oo00ThqMhvqqCbYmDOD+zLANB97FPqIITZVhWdEcDVIRRUVEWBaNixPbNW1heWmZYORKTUIwGdNod+qMRT3/Sk7nzjj0cPTZPWRV8/gtfpDM5yXDhAP1Bl8P7DlLZnKw5wWAwohj2uGPvPWRZjk0zDh2eJ0kSbr7jThKUUVEw05ng4IGDHJlbZOuWzTz5yX227thBI81Iswb94ZBnPflS3vDBq3n2i16EbXZYWVzgZd/9XBDP1GSHnVs2UQ5HNLfuxGY5VTngGVdewWVXfBPX3Xwrr/0/v4164dwLdrNty1mcoxoxHCqaQt40lBKSmxvTTbZeNEN/fki1r6J9kbB62wF6fdCkBc5hXQKJw0uKs9Bo5WgxioqOYTRc5eN/dD3ejTCaYL0lMQkrq9BIDGlTGFaKNQazNCJZTfjIn76dAuHt730vuR0wKFco7krJdcTWFwhLH+rSyS1mvkelStM4nvziGfbs7VLeLkgpHLrjrpA+7ITBoSGaKpOdHDNZ4SqhdJCaFGmmqFW6gxAInmym5FMF3Z7DxP+8d6TJemABA5JZihVHd27E1ikhk4SiBOvAmRJxBvGOTVtylu4ZceM/dEE9adPxlGdMcXfp6XWUi160wBc+uBSeX2JJtQoqWJogowpSg5KSlEKj0cBVjmK1x94vNEgHQ9SUsMXSW4DZLZCVQnc+xbQ9SSX0qwqDJWnkDHolWXbWD6pIkjMz08RhyRsdXOKZnJgkyxusdOeYnGzRH/bo9zwVFaop/cEKeSMnyy15ow3keBVKrehMtvCBpbC4sBwyOFTo9bs49aRJguAxkuB8n6IoSPMM5xRjSmxicCiVBtuuGKKmhboBANaAMSlbZzYzKkoslqc98yqypEWz5VlYWCaxKe1GI8ypFeHY3DyVwOLyYW697StMTk1QuhHWwmg0YsvseVQloEJVVeRZA2iiLWUwWuKW2z7HvfsmSJKcTdM7KauSydYkrbxJu9GkkTWo1HHRuRfjvGNmZhPeKwcPH2I4HLKyskyaZky2d9FMd7C02CPLSkQ8zhuqUjl0tE/lw7M6sQkXXXAJiQjOObrdLo1GA+8909NTHDxygPnFw3jdSprkgJKlKb1hF9SQZ3n0dRIuOO9JLK/M0RsePoNWdno4Jaky0SlVQgqdWUtjW08xCpqARGUkppPFFDXrTUxLc9H5C6vrBV60rsaspfBBVF7WE5A0Sjwynvg8PkskBOADX1tz2MbHGjbOARtjjdZpKMvYeC0QVxc8gYAZs05olPA5EiGNipEZq1NRbTJjh3HD/XDxms2aQsTa9vW8v+g0y4a6bkhr9OPL0fXrGCOoeCYSTNbvq8pau/l44WIlLoLh11XCsxzL3S6gJJLEORxx4YOohCY22pAN5MON01Y1rG7n1QRtSw3OB5XTK1gFlYQKR4LBYSiB1HjUGpwFbEJqFUlNmPdmDJrGVS+xcSXMMeFKQrSGkIIY5s2FFf8CUYoNrABJUJyiqhlIU1SzgLASoMH7uGqfU9QXwVF2DnE+puNFRckpolX8XkHlwtxF5/DqodSgLLiwyp+6kI6nHlQF44VCggAvGvqExeFj6qJTG+eWKSUm3FPxIV1YxzpZXJDFKdaAU48SgjZelAofgy1xJUT1oDE90YzniJ298C4QFl+lOMIcJpPEeRwOFBvupdegspYZWerDPgpV6UPqKjakm3oJ5MaHsaMo1hehcS6o/dYqzgVSlSUO5z0ljqZkFKI4D8NyhKrHWI9TB9gwVLuQFig+KGyD4YiqdHinYJRCHf3hiF6vy9zKCl6VUVFSVCPEK5tntnH08GFsYrFxMZRqNGLrtq045zBpinolsSndUcni4hJ5I2dlZZU77riDr9x2KwnK9Z//HJdcfB7/9E//wqWXXMQ9B/ZSVp40b+CrEgGc8zg/xBpD6UpMaRhUFYqyvz9gstvi2MIiF150AXluODY/x5OedDneKcPFI9z4hU+TmJTRYIXhoENmhZmpJlVZ4qsKN+hRJDmj0YB+bwCq9EcedRVV1sLmTYSKiZkZJmZmz7SpPWTkWyfxy318YjExUKUjR0JFayYlmejA1IDF60aUPsV0wFceq0LDN6kSxZTQaGcMVoaINaiHEg9DMAaM8dg0QW2wWZWgvCZJErIpBgYZ9tFGAlMh8VhnLBMzCaojhq1ZDnxikUZSMt1IyLHMFYE0jJaVmWaOnylYPuIZCuTWkxaWJ1zQoZHn3L64hB8ZXKloGfpUlgupSanU40shNYZWCitVzGAxFerCmshiHFYNSQw4D5cqMJ4sb5MYEOOx3qKS4LWkdJ6FubBybyWQGoOWCfP7oRh5DlzvKZvzLB+CzKZYEapUoGowMe1JJi0Le13IwrGCF0fpRzRbOSoZviwwWZvdF+/ED3v0qmPkPmfpiJJPG4YLYKQBonSSnG4S0n/PdjSbLQbdFTrTbSamNjMa9LA2oaoc7fZUyDqSGExODK3WBKNqiJiUypXkWY73gleLSEWWZQxKJUszUhMWWul2V2l3GiiOxOaIQKc9w8rqMZrNDklmEYHV7hLGZtgkoSwKTA5ZlpCmCU4LMpuRpQ1EU1LTpD05zc6tW9m6aQbvhDRVVmyfRtZAEFrNDkU1ot1us2/hCPPzR2k0MpqNFkmVMBj2SNOc0WhIYltYa8nTnKqqSFOD8xmCUpgBRVkxMTnLoF+wY/tWNk9vwhhDWRY0Gk0OHT1MMSzI8ozBYIiI4CrH1OQU6oWllQFoiU0sVVlSFH2cL0jTFo28jfeOhcWjzG7aRjUqgBA0NiZkIEAI/otPaLVaqDr6vR55rrRaTZIkYTDs02xOMPagBoMeadag2+2SJq0zaWanhVPPqVpbpEHiYhXriz2P0980ruwXyFZIJRE0pNAlMZ0uzj4ZS1HjNDxDmPchaymDUeXZSArGStCauhRSl9aciqhmqYSUJWNiyltME1pb+S7+plEVi7SINdIVF30YK0VGZY38jFOt1tLmYjUkLkIR5kNFihgVOCuW9bXhWdsuZqygsD41jLhbLFPHKxLEeVvjdD+bwPpqBTCeY6VrNQxOWbgnPtaZtfqN76sJzYQRi/GKbkxbO0tRlSWJWJyUiA30J6iJBmxc6MMLasNCKqFZwz0xxIU7xCDWYKwlSZXEWkQsua0QyUkTj7UmPCwxiAlpTMYIam3gQl5CMKJKISO0l7dgM/CCGImL/tloA1GFJQlzvNRFxbUCdaAhtSqYg8W7Mji5CrgE78uoJoBWDvFuLR3PVWEgUxxaBgXBe484Dal+Eu6LxHirI/xPTNA1w7L8QoklUYdDSLUCLFXswV5tsE/1YfEaddF+kzAPUzWsOhlt1iuAxUX12cRXHmA0pAkTxx08jpRUi0A6RXFq4kqHZy9KN8Q5g3NRjYopu05DqpA1FWUF3ltUPaktSbKColBEEqoqC4OFWqyRtQUl0tTh8RSFJ0s9Nq0oihRXmTAPJi1pNx2jUsczMXGieC8MigIjJe2GIEWDxBmG1UEOfPUWqrJCRMhbbUx7ivOfchU2yxkVJWIty6vzeFcyMb2N7vIyg2GBSROKsqQ7GDK/sEB/737K0YiFhTnmjs3RW55ndWUVVxZkRtk80aLRbLBpcopmZ4I77ryT2Yk2A59wz1e/yr333M3K4gKf+9y/MRwWHDpyjDRJw2p7aYN2o0lVeZqNhF53NSxgMRqRN1s0Wi3KMvSZw91lBkXJ3r17+MoNU7z0h76XL33yMDu3zLK4cIzl+WPs3rWTdrODNQnN9iT3zg8ph0NaM1uZueQZFItHEVUSkyDGsFDm2GYLk+SMqoqiCkG+rLP5TJvaQ8bk5R16X+3jRiYQgMLQvWeZ/rFVJi/ImdqxjdVb5lAfFl9p2ha+XEQwjExFKoI3QqdpWT1WkRiDUtCylpIS8U28D/NW1XmsKiJVyIIuCxKEthMKa2g+c5bRvgHpkRWaYpi4BEarDf5/9t48xrLsvu/7nO1ub6m9qqu7p2fhDDlDUuRQFC1ZoBQJliHBcDYBCZI4CAw4QRIhiRMYiIP84wRxIiCB5CAxYBux7ASQJVlxIttKaMmOQomizKHIIUezcPalp/eu9a13O0v+OOe9ajLWCIEUky34/DFdU1Vvue+dd+t+f9/NyXMO246TOuN1ZGTBtabULa99bcnOVU0ravoGlHd4M6LIO16/N+fg6ghnJb5z9A5636OlZuPyCK0s/fk5ZfAE6djcMsw3HDqI5EnusaLAOoFXEuc90nsee0JzfqQZDRRSebySFFJw1vXp5BfYuVJy/OqCSoAXHUJX3LvvofW8+GttZHmVojSCvnVoDUJ1bG9qzs4bhJcIkdE1Fu/6OPioCpqjc5zUbGSSW693BOcxeod7d44Z7CtCJxE4fvy/zvntL1hu/MqSbKhx84f7nAqg8yG582ilohTO95yenQMZ440hJ8c3UFIyGm1ibUDojGqwxXh8iYP9EbbvKfOMzc1LfOPNr9F2PWU1RCtF6C1N03Lp4FHarmHZLCiLTfquYzTc4fj4NsF3dLM5eV6wMd6iqVuUyamqgjwryLKcZlkzKDbY391iMB6gZM7+YIvxaMz21gClesBz/2TGuzffo+9jPUqe5dRtjVaad27fwEjL9tY+Wpco5SnyMZ1tMSpnZ2cvJug5iw899XKZqoIKBlVFZnKEUFhpyfOSrmsJAqbzOaeLKUppdJbhfeD9mzeAQNPEZL48N4xH+wwGQ7y1lGXJ+fkJTVvT1I5LV69SlgW3bt1kVA65enhIkZecT+ZsjGOCn/ee5bJhMp3gPQyHIwgK7y3L5ZK+i+Cu6zum8yldW7NYnFMWQ6bzu9/KkXxHrg+W/8mLRLv0v+nCPQKtkC5IkeB9QKWLsRin/EAoRZpqrwEEK+09cXq5kqmt+ZfVo6ykd6QL4BgjHe8XVjJCEkBbe0gSCxRWtwNW/oN4W09MtYoJbiu//4MgjvWxriRyHoSKk6cgoz4UmYLYLt5p9U3Pl/Q6BVQCY0ESPVUrA/aKsUo3CyH+Z8WfCR5k6dLz9AKkSMyVf4BFi/cjVrLJsAKgfNPto78t9mfFRMGH26cCKUhExKIZKQJIHeV9QqC0wiiF1AalVPRMGYWSASMkWiuUFmgRkFqSCUGmDFIFpPAYLVEyIGVGrlqCyNHxLcBLFd8fmeLNpY2eQGRMObchEUtRKidkTN2Lhpbkd7PE+HUfUwfxAVwaDFgIoY9yRgdYh3M90glCAlA+CHrvMAQ8KrJMIsQuI2kTyPFIH/eUkzIyJMKBcARMzJtQMXrbJ6+eCj1OKDIX97AT4INCBYHErfusQlBIIdP9K5IgEEHAiQjZhJcx7j/4NHTxSC8IqiP4OCUU0hG8QglHLzTah/QyxmoH4CIt8SFdbaMgGEzRR/+Zk9heI4TBetAmEJxEKEtmOqS01MsCQgJZOqB09Eb0TYkyEfRYDy6xXkH4CJ7pEUowzAN1F1g2CtdXWBFwwcfBlwgsu46vP/88v7K/z9NXr/Lhg6fINnc5Ojln0fZYoDmd0LSWyWLB8cl96vmU+eSM5fkZ0vacnp/w2N4Wezt77B5cYjwaM9zZ5t3nfptPfvpTPPLMR1HGENoaLxQ3X3qOTCbfoczo5mcE28ap5WObfO63XudLz7/A6ek5zlliJYCJAl8ZmWitDKHv6aUgr0a0riM3hkXfMRxW6HyA0Cox9RLXwiBTOO+5cfuYv/w3foHP/pFnUc9+kmuPP8HZZMrh5UM8kqIa0AePUxovFMWoYn805q2b76Dya1hnKcuKJ554AukFf+RHfoydnStxwGcMefmdP1H9vdb0ubvo7Qw1KjHDwOzdGVvPHmAKRaEy2lAzud4jrEEaQaEzaumS5DhDWI/SmrZ1BKHQhcHNHdaBpyCEFoFDSU/u43WEkhoVPGKUI5YdZBnSdnQ3O4zX+Kpi/6DC9pqlWtCcChYL6DYldW1xIpAJzcHhFe6fH3Hz6z3OWgajig6H7Tua3FD0PWe3jtBDg9zQyMahTntGl4eM9irojvFBMHh0Ey9yNoaCt9ycFstQgQ8mnn9XY2YR++MmN31kUA80mdIUSrHsLFqCkxbpMupbS2QW0FqDyRhVmtNJndI3FcFLtAp0Swtbin7myDLNzfc9QRiEAZkpvHW4ukNnktnJFFUaBuUG9fyUrDghHx/QtQu00rSq58/8D4Gf/0nJK3/HsL9XcGdwTDezMWzoIV/GZGSjDQSexfwU5+Jo7vDyFU5ObjMajdgYH2Btj5A5k/kpCMPp2RFZvuCZpz5BLjTzuuexq09x8/77aCVQyiB0ZFO1ynEKLu1tM19O6OyS88kxZbVBnhVUwqBkzubmLoUpGA6HVMUQpQzj4Qa3b79PlufUjWNydMbGxoDda9coiyIyXFPHfNFw7/Q+N+/eROc5g8GAu/eOUFqjpKaqSjKpovw6BVSFEBO6i7zk9p0bGKPAe5p2SVYMqOsFSlvqRuBCg/NLei+4cfs6g7ygGoxZ9i2Tk3NEiCoVYzKWzYK6XpBnisUiIJXC9YKDg6uIkFFWGbvbj9L1Pc61FHnFMK+4enCZpumwfc/COppuyfLuFGMM440xCMnp6Qn3z47Z3dnDWo+3joODQ46Pj6mKMct2inMdi2bCsj3n9PQmrZtTlaNv91b7PdcHgioj0wURQGKpvJTrQIcVgyKEIA3qkxTvgXrZxO7EmPLwgGwvARCx4llW95UkfslML1d+kgSqhAqsooV9WAGeC0C04p9W0e0ysQoh3Vd65HV6n1yzXcnXhGDVubXq9UVcRLQLFEFGtm3FNrEKnVgDGh5guBJUTF4nBaknS0DwF9HrPsoFZWLlvAioEP8ViUeQYuUPAi9jil88dQgILrJcCYjGfy8kiAiBSuBJCoFbkWgPxNI/zCsrIogyMnmllMKYWDaqVfqZVpiUDphJhZQSozxaSowUKC1iEaMOZMKl+wkYBCiJDh4oKIKjDwK9aT5ShAAAIABJREFU6oHyEkG3BkHroDxBAliRZSD5VASOYCMoDt4l9iiZ+n18L0OInkSdvraJARZeIWVD57IYxR0kFonBxd8JHhlECo+x9EGTh5YQohwvyICMdBEyCHxsUovTVy/X7En8DKvYr4ZIDLMnoHDCxyFGTHUhhIATARkcqzh1D7jEicgUOKNS4YIKji553rzLYlxMKii2acCifAR8NsRi4F7EEBv/sMv/vCLPHK4PeJ8RiAyq9wEhPWXZ4VSNcyJ54rLka/V4F6WRzmZILMVginMa75PXNURWtbOavjMIaSEo5rXEh+h/krKPF2/pPNEGB63l+PYRX/61L/F/z6bcPJmT2Y4PPXLA4e4Olw922d8csXVwiF8suHZlh70rz6KVYHZ+Tjc/wy5OkFmJd5a+niPkOf29+3zsakl/92XevPMyCQ3Rdo7JfIHODfsH12imN2F4wNSO+V/+9s9y/f3rHJ+e0rY9Sup0fpfkRYYUko3NLYIy9HVNbZcopZC9pcxzQi443NqmGG+ymJwyn05p6pr5fIrEY4PASIEsBiznLbfunTN69watlZhiwMn5lMFoxHBjhyKrGI3GCKPYunyVrb3LiLdfJzhHM5/ivKN2nuOjI27ceJ/T5YKdQR7ZcR7+mOp6YZG9ZftjA0Yf2mDrWslod8D09pLjN+6yeTgmx9Mqj/MGK1t6qwmhI/OeTkryylDPF3hnKXczJg2IHrS0ceiEQovY/9iJgJYBU20hnt4nf/cG/bNP4I/u8/3bhtkT38vzf+9z/On//D/ha29/nf/jl36JcanJHn2SUuYMjm7R9T1NN+Pe7ffIdzJ62aMxLOYNwkiyrMDOGmrh2ZSC5aKnGJdAR1tYDp8c0bQT7HxJvp0zudHhDgvyUuNqi5WKxoL1AiEchdIs8CgLrReczS26UNGnJB11FyikRpUZvmmxzlO3isj2C575VMk3vrhMAzpQVU9VSRYnFqSBU0fvOrQe0HuJEZ5RJVjaHl04OivocQzHGV1Q9NmC3kCROfT4CDEf4Tc1ex/xvPGFq3zmj53zD//yCXkmePpfEvzRHxH8z//uw9+pNpveQYmCshpQZAMeufI0fbC0XctgsEueG6Q0NN0ZUraURUnT1WgjkcpSzxfcm56ydHN2N69wsHVI2zdY2+PpEApOzu4ldYCjsz2bm/s8/eTHo6zaGFYXt1VVMSxL8I7z2ZTcZHTtkt3dPYaDKikLnqDKyyjRl5L5oubu/SOk1gyHI3a3D1l2PXVdY7Jy7VMdlgMIIfmbPE2ziLJtIZjNJ0gp6LoWKTVlNWA6naC1QVEhDEwmR2yO9/neT3wvezv7KCFBee6fnlKajDt3bxGEYLmYI2WgKkuUgr7rsE2H7R32ZsNoNObWnQlCGgbVCCElo8EoFmfnJXXb4X1gOZ9yMjlnPB7TNUsWiwXDjQ0Wyxmejq53KJkxHI4IITBbTpgujqPEullgqQnWUtfnKGUw0ny7t9rvuT64/DcxKjFOPDzgdbjwFV2U6K5M8ysgsIIn8cIrxdetRHCsi0fXXyfQFIiyLVIvTrr/1XV/BEyr+7gATxf3scqHSDR9AnYh+T5Wz0AmEBSS7Ga1pFhFkyep44rpSl+vHkukY13TQCsAlcqBV7zbiskSiQHzq9cpBFAXcibxQIofMrFXAVQIsdhT6AswK4EQ1qEJghDRYxBrUOfD6piijDApwIGVPDHJ1oLgYU9UA9gaVJFlkgqlJFIqMqkRIk4EtRFooTA6MnRGxRORkHGf5ET2UtFFlkYqZHBIL1DSofqeQASyLu2JVUdbCAErYoluBLYOGwTKRTAgSMmCKdRBEeOk4wAiBjqsgXjq6HXp8xBBRkoERCNEjw1ZfB7xt1DBpbTJ+JdZiMSECU/mLT1x2q6ER+JxQkQBX5Bo7+ilip4/AgSDDP2alUI4FBE0xRwYjxaezisk6gIoeoPEYQFCTJmUQdADMmQQHFbq5KmK+9qhkDIBpUBkUIQiYCITi4hhFUoBRfy86O/8k+oHLtnR21jsa4zF0yGlJpMBqQK9b+k7jUBFUBo0zqWUSdmBACktAkPXZmgd4qTPB5RyLBoVay88uCZHRRwT9ekedLEaOoELjuAdW0py//SYV+uWjx7u8aNP73Lt2mV2D/aTvFCSDccsT29SScX8zimzu2/QdBYQDMuSt2+f8IlPfg+6yKHax+QZ/+hXf5lisMMf/5M/znQ6wbYLXv/Kr3LlI5/l+q2vs7O1wf7mFcaF4dW3j/ntr7/I29ff5eT4lK7tIHiCSqFBSiF1xnA4IC+HTM5PGA5GQEAZhRaBeb1gNBzR+cDy/l3yIufg0lVu37rOxnhE76Ctl8xm5+imoTM5X3/xJV559XW2NjeQ0vCZTz7D2WzBo3mJyHLefvc6wsNrv/Hr/Jd/8T/jhz7zLMp8mKbpCc7zM3/zr/KT/+mf463nfpPTH/thqkeewDUdQj/c4B9g87t26e7MmNyYIXcM1UZGfyzjgKiX3PnKEZmUCC+QymCCQmSO0Bs6FRiOFZs7A+anZ2QHBbNlg9k09KctoRHRsOoExaeeoL19zOWPfJLl5DrmqKV753129q7xpD/llUngxaLlU3dfQW8u+Ev/40/xg//cp8jKLba+d4vpeYFShmEx5OzmlFAHsl7C3CGqQLYLYgHDwwOkFaizmpOTCeeupQoZi8mMfMdQWsPs9C4ydNSzDpUNsE1PPWnYO1CxIcM1OLKoxKFPIzKNlCGankMeM7SmgqyQGAGZyrEi4KVGyDhEkyrQ94JvPOc4+K6S6U2LmAu00GAtg40K31uWy479x4cs7tUoNE5LptOAz+GHfszwm3+3oes0dd8xygWb3z3m6PoQP1tQVhO6nVO6JFn/7PcN+NwvHtJ3n2f8qOLGP875zI+csfHEwy9VLVRGVm0RVMaoMHinQQT2d65wt7/NZHKTIm/o+yU60wifo5VCG0XXW1q7oBpV+LZnNj3iQ49+FCVFLOGdnhBCxbk7x7kWbST7+49z9fIjeBuYLeZQQDmokFKyXC65ceN98kyzs72DNJqz0zMmsymbozFCSk5OT9kYbbAxGnI6PUdKaLo+sj62YzzeoBSCs8ksDd0c3nbUsxnaRMLBZCWqiwnHWZYh0KjMcHZ2TKFztjcPKPMxezv7lEVJ29bU9VUOD65wZf9SAluCrIKN8TXGVcWVw0Nu37nD6dkJ57OzZJuQKJWhtaaRNZ1raF2WlGwB73oUBu8cZ+dnaBVDOrTRlIMB21JSmIzRYIBSMWn7bmZwYkBZlmgVAen9ozs43zKfnBNwKClwTpBnY0YHOzxx7SNc2v/OL1T5PYIqxNpXIZP6SCSZ3Ir9gAs+ZsWSrL8rkp9qlcYG3wygVhEKYtWrA6sm2rD+3RWjcpGGd+EjEt8MaFb+oxXgCT4FT6Smn7CmtUiE2vp4VmsNp9JxrySErCSMK2orrQtfV2LbxCp+IwHMFQP3IGu1fu0CK38apItWIVLYhFzBSpApXU2EtU9LIiIrsYapKWxDXkgL10EgXLxmIUSmS4nE3kkBD/n0H2BUGIRSGCFQUiOVRAuJVgKtQGmFRpEbvwZHWjgQkeUReJQALWLbvRMBHSwKgXWxzykQZZ/KRylcDPvoY2Fq8hWl9IDYbxViKpsDVoEhUgQ64VEpfEEEiZLg8bjEOkZGR6BD9BkhIvBQIUWgC596hPQaKFsUig4hNC4BbxFUDIUgIENM2CMNLjyKgIxgzCf/mZdrgC1DNEGLIPAiJfMR97pHJ2ZrNWQRBBVlPUHE8A18lAeaAE7G/bziXJEx5TAIlZL9YlRwEComJuoMqTRBKnJlEEajVIbU6ecP8ZLS4/oVUHJxYJLOM97HcIngVYLeSfoounhjn3rFUDir8S6mI8Y3QuKtQeFTEqCK0c/OIUJL6Fua5YylXyCEjAE1ySc76zuK3rKQNVGOpaibjtoFpmdTysEGzeyIZjnHZJrJEnYPrzDa2kIVBUMNJ6/fpMk2YhBHV6Odpe9rMtty+/rrlEXOaDgk15rDy/scnz/K/uYG+/sH+DrnQ3qPX/31f8xsOqXrbRwieE8IXfI26lhgKjS981SjMXlRovIM4QRSR7mqbTr6UBOcx9qeLLFNfd/SWQt42sZE9a3vaRoLznN+Lrl575Rr94552jr6zkZlgYoyW48ny3LK4SZ9V6NUQKvARjFAZQVeSExeEWxP1zXI7OFnqkSlKA83GEiNMQF/WrOczpAi4E56TIhsqhMKoTVCBZzJyHzsiPR9wBBBV5hatMhp5lG6KiXoHIIFoSXFxhhVOTitufbJS3zj88fUT1leeOsUO7jE+dF7/F/vzBlWBnN+wHNfuMOgr3nq8Su8+r6nbVom751jm55y6wqb7YKzMCfTATtxZFtbURraLnmskpxPcrzr0ZWgN5LBKGOhJNLOIiMcBGrqkMJSW4/SOV6ncx8eKR3KqeQ7T8NeFYurgwjkucZn8XrDKY+xUf1S5gVHi5piICmkous8eedxvSAMBFKbKCV0Aj1UlArq85btxzOO3rYoSoKoKcvAc3+/xusK4zKwC0LoOHtzQWADW3j2rjnGjwru5oK33vCcH9/mQ097fuuXPVVRkA/h9os7DB9/+OV/ShUU+QBhCmw/QSlFpjMkefTyCE9nO4pyk96uEvgUfR/HnCEQwYPICdLTNB2PP/oIWirq+jI+wM1717l/dIfRcMz25i5aGubNlMninCAc460x3gUWiwWLxYK82IpgRwhG4zG9swgpWbYNZVXi8EznM05OTyjKgrpt47nP27ifpI51RiJgsowuOLq2AWHougZj8hj2IzRt3TIcVfS9QymN0Zq6btjd3mVnK3ZOdX2D3t2jKkr6YMmNAQIm13gr2NvdorWWsijZ3dnmtTdfpe5a6uWSLFP44HDWolVG27QoadDSUJUjur6l71rKvEDI2Ds1nc0o8hwtJXmWkWmD1hqTG65cusyNe7cp8xIhBLPZDO89VVExzod0zhJCoHMtmakYDTfY2jhAye98WfUH874iZo2t2JgVu7OK501XhfGiCpFS032UPySFm0hsVmpyXAMYQQxQ0GIVypCgh4wejbW3iQu/kZApRjqsAJ9gFZOxAlciEHtaiIb3FdskAYJMPrAVmHrg4Fb/JET0YMKgDMn7tEomlN98m/gYDwCthJdifLpMzy2spX0xaj4+yiqOnhXLR5IBpsOKvVKKoFdSvngSTw1iIPwaOiVNJmoFTH18fP8AyJJSxuLO1ZN/0Iv2EK/t4ZBMxiCJMli8iq+DSj1mBo+QASMcnuQ1QiBCh19JIx2xt0p4gg240NNiUKJOc8l4fy69zj7tW53krS4kCZxayTIdMpDCTAI+KEyKnJYEQvB4IdafnxACEWrFooKQEiRJoRipThrlBVJYApqVbynGsMdAmKSsw4UoUYlg3cVUQ2I/lVyVA6eQjNVAJPYSJwgVJApHHzLEmuWSBOFwXqe0yQwvJCr4dfGyFwVSCVAKR443GiVzTJbFcBSlkUYhVB59bjomI0ptwCikioEhIdIyF4MUkWRrD/PyMYojEJLEr4geS2/RpifPLV3vsJ3GOc2gWiKFpWsctnG05z2+77BtH9/7dh7P0cFj+wbnA1ob+r4hCIUUCuclzjboYQlEUNpiGbuYMCYzi5Il1/av8BP/zc8wrxd89XM/z/4jz9CFmwy3t9gyJafH99moJPnc8eQTH0KXFYPxJoWCSy+/zKc/8Qy9D+xs7xBCYN60FMbwQz/8I0idY7Th5Re/wtOf+B6O5i2He5scXnmcl77+PL/x5a/yW1/5MpPJHO9jvTxCxKRKLRFSkBU5yhikcGih6bqOIAXjwYD5YoHUmlun97B9g+36NLU9RQTQeU5ZFVTDDYajDRbnE4SR9M4lJYbmxVdeZ3tU8gOoCKb6nrwo4pBCxT+Vmc6x/RJnYwJiDAdp8cHRO4vShqwo0f7hH1TJc7DKcrA7ZKlmHL++QFmH72IKqdKabEMzmbZIb+k7j3YBaQLDa0P0xDMeOO7e9xRtYPPDn8Vtv8zkhZbtz3yCO1/6Cq5p6V9+g0po3P17FAFeeusUZyDsPcXRi29zOAqUp4LhMy2LwQbjj07gTs/5RHL97Rmzu/eQxZDgCorLm2SDbY7u30PWDVUj6E3ATxrmc4suDG/WDVIrjDSoqsSwYH7WcPV7HuXemw3Be4rNjMnvOGznWCwCORJTFPEMqxQ2eFQaCCsBygmcVDjpqCqB8C06RLleCI5l6vNzrqeqHHYZEBo2twTX37KUg5JSalyw+CzGd7cnDdJpBk9l9DKwPZTkVeDOSVKYFAYWLYiaYAPL3qHbFqUtpmw5fivjbFkzu6155lOOL35uTle+zGDfMDsNzBee3/r7Hd3sIT+nAk5LkI755A6ZztjZOeSFl34NKSVCK3Z3nsATB6ZegtYVg+EI1/dIZai7JSJIuj6wv7lDWQ1YzGuyLGO8sUUIgnndMxxuMp3OKbMBVZ6zeeUQkxuKLKMwOU3oqKqK7d0Pc+fObW7fuUM1GMQOrK0tjk7uY63FhUC3nKMIqEIjtSKXJdLEgKqmabC9BRErTbKsxHrHaGPMeLhJb1u8D7Rdzc72PsPBmKosuX98xMZozHx2zuHuDtvbO4gAuVGU+YhBOcS5jr5zLN0yRpyHgM5AG43uROzWHIx49uPfzcuvv0bwUJYl1nZIQEpFVY1xacRQZDkbmyP2tnbWtpgQYkiWSIDKSIXROtZzWHjysafiULV3CAHWGIblLuPhFlJ4eudZ1g029EihOD495p33X8Naz4/+wIe+3dvtA9cHgqqQ0ugQqaeEC/laJJUSTSNTRLeIcj0evEgXXEj4EOuOJmD9dSwXjjK0ENQDXU0XDFAMXVglDIr4fALrCPSQZIOrQHafQIxMDBckbLdmiri4PkugK2KPsP6eWF08S8FanCcSc5RYpRWwfDAm/eK4SQycX18Y+hBPwp4oFZPrWOTkJVuxDOn5SBmlUUqoROLF+yBxBw/WKa/9aSvwKlfpivHCdJXcKKW88KmtOYiHex2WSQonbYxJF4qMHisEBIfE4b1OiXeO3gmU6BN7krxtJJzs4wW8RRCEjeZNociJXSN+NUhIe9Mj8SEOCSBgQtyBTsqU6JeCHYhyuCBWFdFRRKJ99C9pHL2QmOBRsoMkM/EEpI9T0ghsPISMNF9ASI8g+o/gYn8q4cCDlz4NFEIKl9ARuovYAYGIARVOqORZKgEICrqgCVohVBaPVymszpEyIxiDVHnsk9EKrTOkyVDaIIyKn3ujk/xXktq4L4YyhAQA095Nn6nVR/NbTiOIJGJ9mJdazshdINAjG0vTTPG9xwdHbXtmbYc2WYxdD4HJskYqQZAKLSXTyZTRzjbSFKispOtqNh97Mso7Kcl0z/E7b7PziY+uglJp75yjh1uEPHq47K0XyKRBZ5rCKIwtkAqkirULRhoef+ppRtubbHeCS488gvMBWYzQzTGPHV7mo9/1CeZtj8lKhHBsHlxitH0Q/0iqVETtYLA9RJkiMf6BosgRQqC85+a71/niF5/nc7/0v/Lc156nbTq8dykBUiB8QMpAXpSYrKCqNtB5hpGS+XTJvJng65Z7IubSNvWSOLySBN8TOpi3Z/gQKIuSxUxRlhlFNWAw3ojS0nqBazumsyMW8xm/84rm7q3bnDxyDRscy3rBbDqJQwrbAQ4hNCbL0VrRC4HOMkII9H2H1JrZfMFev/g27rI/mPVv/pl/mb/9D36ZOm85f3lKORqwOF7iRUY2SMFAWqaOvkAfLNr1/Buf+o9oDrdoljd45/hL2NEMuwj85E//Kf78X/nv2HjsjHHZshgP2PzM4/SvvEN/cBU7O6W9O0U+MqS4M6H/6hcIrebo1few3tItM3h7wVnesHVFkReW9754A0VB4xfsmzH/4o//87x13/L5v/e3sL1lWXvywZBi3DO93bA4WzLaGZN/SDB7f8nkzinCSoq9TXShGO7mzO45Fm+2WCfIjaFeKIzxqLaN7EYAFRRIS1AClxJcg4j+yGYuqB4F4QyZyqidxy16tMkYloqpVVHG7R1nxxqlYTmr0XnAYRjbjHa5pO07jNY05z3ZZkt+Nefuaz3ZMHD12h59M+HN1xt2TMVEzPnUD36MW4tX2d4448akJj8c8JM/8a/xF376C3z9756jbcBkGttLwtgx2u559ocFn/ps/u3ear/vlUlN33Y0zYxq+zJfe/n/hGAZFDu0PTT9OQRNVY5QagOpJJPplEFe4IOjpSfPB1QmR+mM2fyc2/duIIDd7R3Ozs7IlOHS4SX2d3aIndaSXGiu7l+iaVps00FwbI3HNF3HaDBmNBoxHA4I1nLz9i10Gs4s53M2Rhtsb2zw7vvvcbo4o8wL8jxnWI05scdcvXQZCVRliVSG+yfHnE7OMDpne2sXYwxCPkFTNyzmc3whYrqhszx65VE2ioKsyOmahkwrOu+YLifx+s95FnWH0IbKG6SJqoc8UwRXIFG46YyPPfkMTT1LHq0KYzR93yOEYL6Yo4xGKU1wlmXb0vYds/k8MmiJhIgl1IrJYh4fe7nAMubRK9dYLhbRynJwyHK5pKoqZrNzls2SgOXo5A5N3TCZ3eHs9D7DwXd+/98He6qIE8IVMePDRWyFkg/K9VJC3ZryiP9KVAILKd581fkUVpI3WInXIpDSrH1W6bZrMmkNNBJAEOASEhJSpBl96tRiFcPOWlp3IU1MQRQJBCVMmEBium067pWRaxUusb7P9XMK6Tjl2iMmReqDSql7QRCFPGu2LXJMMmbNp2k8aARWroBW8krJyDJJeeEVEyn9KgKHBy49g0hSRA/oCN4IyWsVn49C4UQgQroVM7Y+jId6adEhhMSlcmYtLFYEgtdILDJEELXiftQKiOKjVym9XpYIgFQCmyLIRCQ6rFAJgMT3LWZcxj4hJXp0iJLK1b6JAQ+R4Yk+v/izEASWCK5FACd82mMe7RVeaKQXOJFKgCG9bw7l42fHS48IKnKbIQH/4BGJufRC49AEFVmg6FUSCAVWZCilcMrEk5wqCDpDGE2mo9ROSBnBkTZIZRBGpoFCDAFBiNT5RaojSDtKXgwxAB6U1n7TWjHLD3z9IIr63cnTh5tWPb93m2wgCPRM7h+x+/hVhCoR0jC/fo/9p56kCxqpIQug79wmu3KNECDrNdXpHeTuJRASbRrqsEQPqlhcqjy+L6Oc1OYgozRVZBl1u6DIc6wNaFRMvVQGbyQ0gkJ6pLdIbTE4qmFBNtzm6pWC/f0d3n3/fV594dd55NIu7SyKED/ykY8BxISskN6ZB3r+rO1QSTYQAoQgcK6PnycpUCbDdS03b9xkvpyjbDozpdRY6y1GafJqQKazKKvtO86blrOT+7T1gizLIcTyS+t6hIx+SmstIrQIAUrnNF0dp6SuoO86qmqMUNDXDX2aHGulOTqv+foLL3Jw6RLD0ZggDSHA9u4+zjpMXmG7lt5BVW0xETL6zkIsYSYossww3jz4p7+5/oDX77z5Em7p6I4bujs9cqeNf/d9ZPe81HTnPdoFQibo+iVFdpV/649vIrdzfvYfnfL2YsigNrDZ8+/8q/8hH/3wkE3X8/ZvvYa8MmD5jTtMz3qGj8SeMYJD3J/gOsHkziT5kAWFCOzqPa5nNefvKY7fbBhvFJSbPdN7S2wjOXK3+ev//V/FbYKdaHrpycsCvbnF4u59hLc4JfAyozuTmJGkn5xgNjOGO5IdbekGArGjOX+tQ8jY4bZY1rTWgOzx1qGVQWJxUqOCJMvAtx5JQCuPkppxkbHoc1rO8a0DArZfYrOC4MAJifABQsC5gJHRY0W/5KxzSGcJUrJ9WXF63zMaCqZvd2gnsZ3i/VdOcDLw/d+/x/V3T/CdYPvSbd56MeO7fuIe2c9+jKmY8l/91Fu8/tX7HDxS8d2f/hMc1VOuPXGdz//cLW6/1LK4G/j8zzv+3PPf7t32+1td11EUkizTNO2M7c0rnJ7dZd50FOUWBEmRV+TZMAY/Oc+lvR0m5/djgbKXVOUm5+f38K7nkUuPc3lvj+3NLbI8J9MaozS2t3GoLWMI06JeRk9VEDRth5CSWb2EAIOqou86brx/Qm97dGZo5x3jjQ3qZcd8PidXmmE14JMffoaqiFI4KSXN4RW6dFzBebq+Z2tzk/2dHYpywHK5ZD6f4/DYrmdQVVRFgVISYwze9tTLgA0BLSRSaApjWCwWLJslw+GAoiio65piqXHRDA0p+a9SmrzcYLl0nCvo+wia8r6PMu48x0jD/dNjrJ3jRMARQzK01hhjYoR9NUArTd3UVFWFc45Z18BshqwCmxsb8XX1Dmstt+7c5tbZffreUZZlvFbTIt6fEozGD7n8TyR/UkjoY8UsRRgVN5ZMDMkF6bOGHVyU765om3AhZ0qUjFjLllbMSQJpYuXRksmPspLCxW9F9iYyOcEHvJDo9DzipDMuvwJ8rEIcLoDVCpxFoCcueo1WVByJKWLFOqXnLAUrbwoiPvvoOYuMxerI1r4muYpOZy3rWzF6UdBHet4isWlhLS1bXZ4/GNQBpDAP0kV6SEXNYn2yvvh5BG8yxXer9P6s4vHXaYUP/YpR3kYK+hDjbY0QeCwEg8embqR43ErENDwlAi6AkT0u+ZxCCk4IMqCCp5MaI3qki2yPFhYXdAI9ikxaHGbNftrVHvYBKxQy+alskAQZQVYs7dVpz6k0tNDEWBib0u4uOtAUUbZghcQLkwBSwAuDUAYvNVJkhEwTo/9ztMkgy5HKoIxGSo3IVGQSVOzZiZs3DTDExT59YKel/1549R5cq737TV7CPxwb6v+XVV19FFU0gMPOz5DjTVxfEUKgGC7wMoZSCFQqGJX0fYbwkiAbbO+hkQTlkzfF4JzAuthDo1Wgazu8l9i2IgSLUY7QOEwxI5eBTCmmMvYDai+xwtMFhZLM6IWPAAAgAElEQVQe7+J5PjMGbSq879FZxrKt0SgW0wmz3hHoePKpp/Heo4Wm6RoufKLxvGVdh04seXCReRsURbwYWSx4/93r/K2f+wXeev8GxgX6AFKKWETtomw3zwqUNtFj5y3T6ZKu7VjOJ1jraNsGmWTh3sWBnUveKSXj+bjvG5yLcrW+b+P5WzrKfAPXO6RU9F1DFwLnZ8e8+soLfN/3fje9dQyFoHM9shjgfJTI9NZTzxfsHz7C2f2bNG1Pb2MSl/eAytB/CCZVb77xNt3xlOndGunj3xzbxVJxKxwmBBoXsFJRKU1Hy7A45yf+5l+hOtT87F/8a3T1Xf6Vf+8vUP3rNe3nBxzNFtw62GT21l3al2ZkuyOCkky//naMyJcGtfRYGTseCi0oxxnNsuHjn3qaZ7eGfP65zzMc5rz91QazZzHjTYa6o73bcenykFAtyP5kx40vWdr7gvbGEdBjxhJpwbZLdLGJbz0bhwcEu2D7qqLOPEoLwhKqkcQuexSBegr1AorxAKslGQEXRIx+FxLlPQiHEw6hoW99vFbwS/q6xwiJGGZIr7DGYtsOIxXWp/M+Ab9SvyiNxiKKHNV13LnuEV3LSZJZi+DIK0dvox/2hZfuUQz26LtjXnp+SX2/5f2v5Cjh+ewPLfjN/+k2G+MnmU/f4dd/5XNs7GnuvCH5iT/7af6LP/8FJvcEyj/8e3Vne4/p7GRd9jubnREQDKoBlh4hYqfjYjlFS4WSkm7Rc/XSVbQssL5lPp9yuHuZra1LbI0GbI1GMZq8bqidZzgcYq3FWkvbd7x/6yattwzKis3NLYbjEUopzs/P0UrROxs787znsUcfpW4btkaBJgGTqirZGA7o/AYiMxzPJjhryUzG8WzCbDanLEqyLBYPP3r1KiYI6uWSYVkwGgxYdg1NXbO3tYPWkqbR9N6SqYzxaIBQhkxp2qaJ8nspqKoSYwzGmJQqqGgah/cOoxXWtWgtUVKQF4JNOeTsfELf9NyfL7h5fJdBNWCrGrExGlKVFRbHezduMBxUCCHpui52UjV1LLHOItPmnENnBlGUNH2Lm3kG1QAhInAajseM6wXlZsmgqOh3L/Pamy8xGhxQZltU1fDbvdV+z/WBoEopGaVpMk7sgwhrsBCBz+o3LxLyVjI3iLKeyNaENRKK08wVgwQCfcGCpd9bMTwyMU8IkaR98ZIzopMEaghJ3hbvbcVYXXjBVtPwhHbWcsXk1Vr9TmIQVtHqKwYpYqLE6QixBnQQvSeQZIjEVEIh47GIIBGpAFjywEXm+oVa9UVHOV88vvhKrvxcgWR8TZN/KePzdAm2RWbMs04VDAEtxDriPYgIPOFbRH5J2ngBXP9wXATbYMiETe99HAREiZ5FSIfyCpXYOUFAY/EheqJ8iCypQMWURWmRPsN7ES9KvcLLKEBzqXVdhiLKCokepx657nsmrIIZAnb9Hkh0AuxOiuTTSNMBIVL8uiEohdc5VpvIGqksMlFZgdYaoTNEZiJI0gp0ZJyQ0Yu03tgPvPdrOLkebPyTl/gnfLX+zu+yT8S3/PvP1u++quGcrstwQVLmI2yzibMSqVqyTOB6g7MlUi+AmtAvycycEKBdaggtWdEQBNheo4XGNgaPxnmLtwJvA8rUmCImS7ozQ6DF+xhwodDkSpJpA0bigkOkQVdVSJyXZEZjsozl0iGU4cMfepL7X/8CzkIzeZ/dx7f5Oz/z03z5K8/z+OOPMxxt8ov/+//G0099hE989BlQCt/1qUia5PeMA7T5bM5v/sYX+dVf/Qe89/bbeOeQSuOdjef0cOEFXS7mtH2LVoaN7S2wntnkHJeKVIEYaOHj+Tm4gBAROP6pzzzG9aMJX3jnDOctoRdoqVNoi8DZlqKq6JoGqSVSCvqm4/R8Sp5nbG1skxclZTEkyzRt39HMF2xevoQ2BqSk6TtMnkVGLgic77HLKV3TfNv22B/UOn1jTne8RDiB2srpZz1alVEOvXAsXB/fLw0iC/Sh5975knrcMQoZf/YXf5L9x0c8+2/D9ecUr714xHf/C3+Ccrjga91thOjYHSwYPFNy67klhe4pyegzjw6eYDQh9+z98GP0bpN/+OXXGF3qmb3Toj8iKAeSDz35CabNG9x5pQWlefTjV7l7Z8Hpl0+xpx193dJ2Hl0KxrJk3s0ZDDXW1XjbMqltipVuGWnDS1+cEtBARpYFhIyDjbOpYDTSyM6BEUgby9E9CnSLt1D4DEmDzz2lVpzX0SHtjaFQEmskXa8ZjSWLSU/QguB7lJTYzkefqfG4TlAsG1rh2NvRzKXi8BHJey82CJkhzyW2jVLTphN0kzsIqbi0N2LRSEbtx/niV97hlS8qrj614PTmEcW1jDCRTG+3OJfxl/7bF9i6kvPv/wef5rXb/bd3o/0BrKee+KNYP8e7mEQZlUYe5wKn8xOstWhlEFIzyHIu713i0t4+VVWyXHj6vsUYTdPX3L57j3PXs6wXOO/pe4ftOiDQdh2XLl2KSqDMsDfYpO97zs7OKIsSAlRVxcnZKYvEzoyGQ7plDd5jjCYrSvJcIaWOKadacv/4iN3tbZRUqCCpu475cplkry1L23Hr7m0ev/wImxtjhBD01jLIcsZ5QZkkyOXmJl3XxaRKE8FM9DNVGGMYVDlN0yKkpq5rvPc0TUPAYUwGFABYC4MqIzOBMs8YDQtAUC/jeS0zGc4G2q4lzzO0Coyrp7h5dMJ0PgdAGY1zjtPZBK011qbwifmCvu3ila6AYVkxKCuUEEzmU6RS5HmJ0Ibj+3dQynJ6dsqlg8fX8snv5PXBnqqwupAK60n2mktaAadvudC6KAp+YMIt+GYA9sDPeEA2t7oODOvHgpV3aIWH1pP0sCIGLtiH9O30+BcTdFLGv1zJlMTF80y4LDECq2n9BQsU7zysjy1ep37zYyJWAGaF0tJjyIvnE48yqfFCSj4MgdifJdevq1wBJFZSw4u+rNUcWK1liip1BXHBwq1eo9UDf8vxrg7rgy6sH84lkTjcCsz4GB3uQgxnEEFHv5CIIF8l31RkXC0xdF6kgAeQGIRweKFSBLhY70RBLH8UOHwKZgkEVHrsyF8pEDb5lCLMj7I9SZAKL00sDlYSofI4oVQmyvWUITMGaQzaZEiTx8GBjiBKSBkBmPx/78dVx9RFQuZqPfCZ+13XN9/i/8taJXP+s/XBy1mJsyWePoIJ0aMzj9Kebh7Aeby0KOFRCqSyBNERXBE7UrIWkzf0vUGk0AnvHaT42Rj00wJge5OKmSMD5axBBIPRGarTOB9lSdLFc6OSAusDzsV9orTGu3j+OLr3HrWuqUzF8uYZ737jeV746qscHhyQVwW+q+mnJ2Qh+hSTMGHtVYwRI/E+hZS8f+sWZ5NJDIqQEmtt/GyGOKyTQuBcLDGm7xEhUC+WKCHQRuOcxXq3TnBd79w0tTscZXzfx64xuD3hyzcmLDuPyQUmLxiMRgghaW1HkccYZGNKapa44Dk+OuX0bB7lht5SlFWSLjrqZY1SBtfX4C22szgHWTnA+RD9BUJgiuyf+t76A1+uxmQyMi94nHWo3LF9sE1z7xQ7j6+p3C5QQlAsJLW0qOqQ7/qxH+DZ7TkvvvUWL//6Gfdv9oRecv/N5/nBZx/lKzIQnOf8tmPvyUOEeBsbJDY4rMhoXYPY22TjiZ5P/rHP8Llf+BoHV5/k/u03yPYukRvNEz96j/adNwhLT7dUPH1lxMHBEctZxmsv1nz4+w5560t38CrgtcSjEE6QFQV2OaXYFIQWlrOOyd2cje2a0EoCLUEUqLxkWjfkmWG+CBSFJHTxb3EsfV91bWqUt3gVsLXDeYfTIsqkrUMVUXIohUeGjtxCmwms60Gt+jFl9KAKiQ2W3ggkOYvO86f/46f46z/1OkJpMiWwQeIQ9L6jLBWXnh5y+60Fd85n0Ck+/3Ov0S8VvQ/cOa0JMiPLFHOhyIWn9z2hLdm9Kvn405/ma8d/7du9037f69LBJQKOvrdMZ3NG4/+HvTePljSt6zw/z/Iusd64+725VWZWFrVRQLEjqIAiKNAiiuugjXoaZ6ZtZ5yxu8+0Y7eN0+cwioynGxemxZ0WEERWQVSWoliKooqisrasysqsXO5+b+zxLs8yfzxv3JulNDCNfYpCfn9k3swb8UbEG0+88Xx/v+/SYjwaUxQ5sY5ot2aDS6+HVqOJjhKiJGU4nrC1vYtSimazzWA8IMv7FGWMG3hKk5OkYToyHg+oxTXKoiCOIg6tLBNHMb3hkL3dizTTBnESMzfTptvbQ0ch0iXLJqyNRywvLGKdYzweV818gysNDV3HWc9kkhHHCfW0TqfdwgvBzt42eZbhvSPPc8aTCc1aC6UlkS7QWhFVQCM8niKJY5QQKK2qxQqlsQgJ1oCOgsNkFOtgp+U8eRH2oVrrg2uqB+dEmPxXF9lIRcFZOVJIaXE+SE1M6VFCs9DpMBwOiaQGrSipHs/awH5QGmMsxlr6gz7WOyaTCUXLEEURu4M+y/OLlMYyHvfZ2dsAIIkCbTtufv3r/76i+98+FU9wMHERU3Dy94HVdMrjITgo+aCt8pVN+AE4C1+yU/MFKw4ocMpPAdbUkrwCaX8nsypMtyr7hepLXB58s1Y6LcJkSshq4lNNBahuX70eD4EmJw/ufyX9bv90iGoihQw6Kw42qr6i+02nZmFjcRBGLAiGAVNa5IHua/pwB1oq4T1Tr7N918XpYp/e/oo/pBD7+qupG2EwxrjyvakyvKrf4wm5AVdoYB6vZZxEyso9rwLJIbC2Wj8OjHR4YYPGaB/8BEoFWJRQOEnQJfmKYicqd7Bq7QYrcBG4+UKhhMLLJCycKK7WR4KNasHlTiuEVCgdo6WEOKroeDFCglTh4uOnmkRx4HYZSlQXuIP36KDh8PfrS4H+rx5Af7W3C5RJ4SR7k5zNtQlnT6/x4n9yLVp+tcf4x1l5rnBkgMM7g/fBlRGhcIUmSoCkT15qvNFIK1BekzuBjie4LKEcNzAibOBBU4sNopZjnSTPwiVdSBBOY41CeEuZO7RUFKXD+ZLCGnKboXSEw1GKgjhSOApQGqUUWmrKskAIR6tew4y3GFOn3y+JXJ9rV1b4gX/9H7BI3vP7b+LZ3/p8Dh85XukNoHBlFYHrsd4TOcgKy6+/8T/y1x/6IKPhCOFdZebiq4ZQuE7bqhHmhcOVFm9MRUtMEN4TKYF3Cuvc/mfD+ynVG266ap56IhnrGdrtFtnuIMQIWYOUwa4dZymLHOscWiniJKHIM849fJ53vvPdrMw2EKYkbTSQ3pLlBU4YjM2pt1oIoRllBVZrimyM84a9rXXKoqDWmn8MVtc/bC2eqjG+6Ni6UOB3HXEUQ9/yjO+DD72jwBqwJuhX67N1lMxprja49jnzuM1P8P7bJ9x/Rx/6DqlitCq4/MU13n73Gjc/v8XnPuk4fvQJ3LCzzH2cxTiPa9Qwi5p23qR+05Opj+7i1jd/gnQh4dL5B2lt7DHGkZ3xlDiEm2dh/um88OdS7rzrr/joZxybX8zpLM5QZIbZkx286LHzSEF/ZwBaUnQH5OOCbBIo2c4LNi8WrBwOWtUYMM4jDMy1EgajnO09x5FZzQgdpBBTGO8tQnnKyJP46lrvIVEJzmRIp9F4pLLkXmB6hjIOoEgKiXAlTki8FtjCIKTgWc++mS989g5srDCFoLsdIRxoF+G1RJYlVko8JUeembB7xnHVs2Iuf6HGfN2RyTJQVRGMLhiSesTwYoyOSwrjkPWYp36H5+N/lvH6N7yN05+18L881qvta6s0kuS5o7e7Q2/Qw5kcFdfwePIsR4qIZrNFlmVkRcbF9QEbu1vkeUGWT0hqKWIjXEOss6yuLJFPxhRlhhQwnoxp1hsszM5TT+q0G00cjp29PZJajcXFBdJGDYFge28HHWu8yUEEbWiW59jNDawxWGeJ4phYJyzOzlOPE8qGZTTJ2NzeIY4iZtstji2usNjqIKMQOJykKc24BhLiRCNFirU+7OEI2tayKKs9sacoirAtqZqy48kEYxyRjlAqgK/ACACtVJha5Tmj8QTvHJ2ZEMgbxxHWGpwPDeTxeIxUkkhpJlmOUpJef0CjXmdmpsXJY8cY90aISDEYjVBeEEWaNIpxFoZFTn/YRyCYa7VZXVgC5+gOhsw2W+zsbJObcJ2NkhhnNIcOLWJdiOn4eq8vn1N1RYbR1IacqmMvqy/OA4AE+9u3ioLmrxgrySsA1XQ6dGAUKIjEAVKwFSMqgJFqojPVMElRXdRE2IhOj7APNiowM31S8qBDL6CyQ68eSk4nPhXlTwCVGTbiYCq2r3uSU9pc5cjHNMeqenznDww19p/XFPhVz9S7/efL/rHFwYSjahFIHzrHU0wkqzOswq79UR1dIUBLQWk9woETwa55//3x1YRMhAkOQmJ98Hm70uvi8VxeWPAKIw1eWLSNsZKQC+Sqc+Q9Xmjwbt+ZxiLDhUVG1fnSgX6nFFJFIDVeRQgZrL9dFDQeWgikStCJQumkmiLpsL4iHRoAlWZ///NRge4DPd702VegfDpV/BJvyNfLFMgT3HwubFt+9Zd/nc/f9hGMzVG6xhOf+j6OHtWPamx8sx5dvhDYOMOYmFRolM6xeUI2DiGhOhlTImk3J7hCkjlBXiRICcWkhpKWOArNmjQCUw8X0tEoph5r8CFPzeRJ0FnZkJ9WFhnGSJRyAcgLQVJlf5XOEQlJ4Q2mEMSxw7vQfDCmAKGQSiALg6XEW8NVp47jzz7Afbf8KWc3PaYYc/6hsywvrpLGwZkyuGpONarBLKjXn/Cev3gHRRasq70AX03DIDSsnPcHuYaefVprFEdYZ/EV7VrJYIySCsGwCGYwU5b3Z871+M4XzHLh7G3YKOXq43Osb2+RtmeYW1zFWMPm5UtQGsqyJIoTvA0d2awo+NjHPsrLvuNbaS3Osr55kdbcPMN8SBTX0VEN71UVOgxYi1eS3t4edmkJ6aGmH/85Vf/0h0/yJ29+iF0kc8khvv349/ODP3iYt7zrt7F9QSw1BosqJWakeO6Nq/zNLWe47b13sXjVHMaN8UNPLUn59bf8Wz79ph3ed9sfMSh3qB021FLI611u6XZpRB7rJOlCg3FUcEIK9k7fxonva/G522Ours8zthmDvqXTShkt1JlZ05x8rqHN3XzgXZs0j2v2Lo2pd1Ju/rZrOb89ZO+he0PMABFRJ8JmFXk+0lhXIkuBsIZUpgz2CqQrMQKiSJFRIEceYWPGPZg/mrC3lxPTJBImdPkVKCuJvAi0UlUxXbQkigQ6WMFiR4ZCWlARSTuinkr80DIyAo1j5dp5Butd9jYtd37+jtB8tTnSCmQ+R5qmlHkIDhZKkkZw8z+Z5wsf2iPrwe4lT61peORCRKsjqR3V9HcniJEnaju8UUR1sJmgVIKP//mA+eOaQ99xiUtbj/VK+9rrvocfRKmE3mAXpCPxlqjMibVmdfEQWgW9dNKImBQ5pS+wpgyRJlpQ2AKFZGF2mWxSsLfXJVGaTqODF7DQmWOmMUMtSVlaXGQ0GrK2scml7U06rRaR0mx3d0EF2rIzNtDYWi3Gkwk6ipiYglZaQ2pFlheM84zLO5soqTCmZHamU5lMhHzBSZlxeXMNjydJYpTSLM/OhdfiQmyJUoqiMCilQoyGI5j0CIHzgdLnvQ9GPsYgpaIoSpS0ld+ADOwI7ymtYXN9O2it8FjCd0CsNPV6PRzThmZeluWQCnrDEcYYHJa8X5KXOfVmk2YFMKWHVEe0WoHeVxSG3ctdyiKnPdNCScnesI9WitwZ9ro9snxMbkuMKVieX2E4HBNFdYbdXWY7j3f3v/1JFUwFRrIKjUVW7n5Vx0YGIvwUukzRSGVF7g+mOiJMr4QS+zSlRz8eQRc0/XdlkBGoc4FmFYDEAVjy4gpgdMVm9UoLdTd9LuIgx2cK8qYgSk79zKuSAb9UjzG9XdgUy4rfMg3o9XCFtstVE6twEgIAqrQs4gphfzXtcxycq/C6p4C1AlHVKw0hnwEghbfGE+tAQUgk1JqasrRESjIqPYWBovrACASpFhgXsrqcE2glKhDneLyXrjjUXmiEV9hIgQr6JyJJoSO0VKASkMH5TumESCukjqhFMVKqMFnSCVIHq1CkCJQ7pfYNR+TfmcZMp7j71v3iIKh6Wn/vpy+BOb5egNOXq7x0vPG33sO7/vD/YTgYY4oQHJnUM173r/49b/6T1x3QZ79Zf6+SeokUjjjKK1d8Fz6L2pI0SpLIkkRtbNkIURP+YRpJifUGXdcMdsPSySbBoCd2MVrmtGoGU0RhWOrBGg8umEN4pkYRDukNSggirSh9EOZHKly3EiFxzjKaVC6sIrhOeTztmSNc9/SXc+6+09Q6CSY+xuKzZjl+44s4XHje/9Y3M784T5IE2pvAMxpNDmjb3tHtDfiLv/wbujtB41QlSeBFJfyXEqUiJB5rgkug0rK6zkW02rOUpkALzXDUpxjmzCcR//K7r6O7N+DXPn6BcVkiBPQzyy/81vuIlWJxcYVas83huM6sHHFpYxOhFYcOH+XChUfQSmHyAmuDPgtgZ7fL2YcvcVOniTMCLWPyoqTVmWPU72KyMUjC5mfQoxZHlMYQpylxElNrzzxWS+wfrN7wr+/jxa9d4Nx968zXh/zMLy3yK2/6Ax58ZML/9qrfoM4Or3//Gzh5Q0Rn9hruHz/IyjNPsvXgJV74iu9g+eQu3fIMb//3a9z6qffx6he+ghuf9ipOn7+VD916D899xSIv/b5n8n/+q0+w9MRD7F2aMN4Yo0+ssH6kwfYdd+D/yqPWN9m5cZ3FUzXKQcRwd0Cn6dhJCuYmAlNv8MxXHOXjf3YeVZvlCTfXuHjhIiN2aB6JGV8uSK9yPPdHMz746wlimOEjQbutmGxI4lqEkIr1cxJZCpqLCf1cILNwzRe2xFpJU2tckSHiAqvC5DXshzxKy/CZK4I23DlBWRiEhDwvIPfoNMI2CkSc4o3ERjn1Q4Z6PWK+Zdg9F/Zay0fbdNdynDeMgHe+9Xa8y1EqRjmHkA6N4La/GGJthLEZUkSUY0FcLxBJEzuUzKWK6ERJ61DMzu0ZRVcQdSwLSxlMPDMLnrO3LXF0uXisl9rXXGktZTAcI1RwuivGGfMLTZr1Fkvzi6gouFX3+33WtjbBOcqyoMgzlCbEWqDY3VznxJHjzM3OsLiwEPTPNmTR5daxN+hyz4P3sNfvV/sC6A0H1NKU0pZkkwwpNfW0jgX2er2gs6o10EkcoilQIBQ6jRhOwtSnkdTo9XtopTmyeohWvUZRliwvL2G9JZvkFGVBUZYkSYoxFuFCyG6aptV1S4RYB6mRirDfITRrg3ueIs9C7tVkMmZv2CdKE9qNZmDzCMnC3DwIwSQbY0pLFEVY5+kPhhhjSJIaHsfE5vS6QyZl0EZFcRQiQCZjNvf2OHXkMI16i1QI6o0GaaooiwLvoFVrBODoHWktZTwOMQ3dQR8EXH38ai5uXED5Np16k6X5RTyS/rDLaDx4LJfZV1VfAVRV7nxCBUi1T3eb7uoryhoQOMEcAAn8FXoedQXIqBye8Ezzq0B8yQ2lEFThqD6ISSteZ3Dbmx6jum81/pLiYJITJgNXaJKmIEocgL5AS7xCiyUPwJygsjevgJPdB5X7Lw28ZN+TfH8KdUDtc0yPF2gqSqm/p1zZn/rxaIreFbFTOEnQ7HiHcWFypUOTAYenKC25MSEVXFqUCs5JsQojN+M90rtAbxQerSRa+2+A5J9QZfswURyjVC043ekIESVIKdFRjNbRvqmDkAqhRAD2+853VNPTKTiavgkH73+oK8/Wo9fsl2oQPN7LV3M2Zx1rOyU/+9p/wZn7vkCRl/v0W6U1s+1VfuRnf5qvZITxj72Msei6xTtBiSeJSqK0C07hhhqXxWRWE0UeZ0EhsTbFeosSBiUgzyuKq7egFcOBpMxjaomiLEOjJFjkKqDEe01RGIrcI1WEdQLrHU2d4uIEHHglKfGMx44kCfQ4gamc9CRf+PxHGG1e4PSZB/nimXW6E/ihV72A+86tc+L6J5I2G5hqSu68Q6LCpN15vPOYouDTn/gEF89fYjjoU5rKLsYHZ1MtwzSsVq9RS+vs7e3gTQjortfrgCCJY5rtNjhBt7eDkoJGMyVqzPKUE0dYuv0yFwZuP7NQiXCtXVk9zHh3A9vb4eixFV74Lc/i/Z+9i163S56NgwVwrQnjQfheqYDVvWcf4kk3naDMesSRxOYF3c01orkZ8izn6NGrUV88TXN2njStk7RnKbIJDkjjr3/u/1cqvVTn9GcLfv55/zt//Ln38IOveSPf9y9exatfeS3PuvE4v/2mD+DlmJ/4+at4x3vvZWG7ZMQuL/+fX8OJJ/RZ60o6kxfw8tdc5G2/+Wk+vHov3/r9c/irPPOjGufODnn96z7KsecOGZyFxqkUHV8PwlIMtkhpcelSSSwtk65mwXl2M8H/+Esv5q3veIQbTiQ89MBpRv0BiwsCs2HINne5bS/l0PUpVirGaznWJ+Qb8LHfHyMyyexqwtalkvHA4mopjfkaxc4I6x0uTRn0PHEEmSnRhUCkHpFYaGjaCwn5WKB9QenreBwxiqKUaKGIEoV1kPdynI/RscSWhCiL3KFijfQFqJh/9is1Hl6PuPQ3ittu7aKUpr6UsHFpgHCOfAKqrunM5YyyBFF6iATCJ4HGheeFPx7zub+xDM45hNQ86ZlN1uWQ3c9ouoVndl4wM5NzYRIx0/LMzDUZ+iHjfsbMVY7Xvui7+U/veedjvdS+5nrmE2+m2+2xu7vD0uISszMz1Ou1SnYhUEoglWRlaY6rT1zFJAtRClub2wglyIuCNE1Io4TZzmyIFtEJ/eEQjyErC85tXmJjc5M4isjygjiOkVLiHCx1lljvbpLKiKw/QqUKV1jac22sKYgQ5OMJ6cIssnBEtTZiDQwAACAASURBVBkUQTfr8hLyCXmWM/ExxeyEQVEwNzvLTKNBmiSUpaE0psrci/f33UVRMBqGTLxms0UcJxRFThInSKXw1lKUZdBYKY2uB82UjjRRmlCWJbu9Ls57WrU6rVqDKNLU27NopRiOhqCCSQ9aMRj2cdYyNnlgDSBRWpKXRSW/kdQadS7v7LBgfZhYiRKqgYfUinoUU+iIWquJ957WbD0075pt6vUak7IgIWau0+HwoUOUpeHM+YdJtKYo88dymX1V9RVAVfgjOOUF2hg+/D0FHvuqHzEd/wAc0PX2aX8V0JLIyoBvypmr+PDTLKsr7NX3n8M+de4gfyr87iD4dnq76Rf11Chjf2gmp5Ox0Bnd//00U0iI/amaqCh2YooLBcGQoDKXmE6qPMHtb6q9mmI1N9W/7FMj/cFEDBDV87P7IPXgtXrvUV7gVDidjoON/tQ4RHpAeowDLXxwtHMgI9DKEStNYWww5iAcSAuBFApr7f4ULJICra4Exo/fqs0tEcc1dJyioyR0kaIgihdKgzqYll6Jj/aXyfTN42CaenDTK0HClwD//z1e0NdBhT6FwwFn18a85c1v5+EH78YaB04TRTC3cIgjJ0/wz/+nn+JZzzxy8Ln6Zn3JSuKS0gXL/+l10jlxMGl3Dp1MqqaRwjuLcVDaEq2CblAqj3cW7zVKRGhpEZEB6ZBSQ0WhC1coh7UOa0uc80hVIKRDCoUXkqrnQmEMUikUOVEsyJzF2pI8y8AaFuc8zaSOvw2Oztd40qkO/b0hf/gHbyWdnecJ84KzZ8+ztHyIw6ureAwSW7mqWuIk5qYn30CtypzKRIb1PjABhCKJNQ7QWmMRIOQ+wLHG4IGytNSbMWVRMN+ZZ2NzncLDQDfZzSIKJFLKYHBBADbWGqw1KJ2wurDC5848zGDxCYxsoOd4LEVhqTXawDSSOzS6smwCeJYPHUWpL6CiiDRNg1ZSOBrNFt47ijxDSkGRTw4ake7x76jWXBSYMuPZz22zeuIHueO85Xufv8TGmTsYDUr+9uJDSOu564E6z3naM/jwh99DNllkpnMZGhusrW2xtTOiJZYpi5zFpSWkLZk7pNnZzLntI54jT1L4bJGx3KUlBC998YtYz89yy5+eo0gUSTLmyMs9O7c4VpdO0XVnGArPD/3Yi/nUHX8FJJT5CFtkzJ2qMRDwnJc+nc/cfidxM8Zbh3CKJDJQ1DEiR0cxHovUEa25Jj6zLK8usLXZxZYFzhiMivEmvI/GRszMNEhKhVE20Mh9jBNliLtwIX/NVq6xOIm1BaZUgWYuIVfBUxBj0CqmMJ77PqNJZ07x4NqDCARCSepNjxhoBr5Ax56k7uh2QScWoSRaxgRPTzBO8Nn3dRmMHSpSSO158IIjnrFBpwUUW5JJXzCzukKsG7QWdlBoNr2id1ryx7338pxX9R/TdfYPUUJIluYX6DRbpLVgQ65kmLwLGUBTFAWtqNSCuBX0Qs2kgRdg3XS/NGUTCfqjIZt7O/T6u2RFwaXNNSIVEUUxZWkRQhJFMWk9IXcGJz2xjrE1i9VQDY+QWjFxQZagfMQo26TW0DjhiYSuJAuaxaUOSkdEWpNPMoqiII6DGVGkw3OflAWDwYgkSarA8ZI8LyjLkrIMNEDvPc1GnSzLkAi0DHop50OzTEqJlpJ6nCDSGtYH63N8eBzvHN67ahgC1pRYayjKAukFs+0Z4iKj2+tRGIO3IjB5AOENEAGeXn+IlIJGLQXr8Y6KPqiQQmKtrSzWJVhLrRbcjcf9Louz8yzMz1fTtZwkjpmZnSV7HLiqfkX6n4B9i26BRCpRgQaPVBWoqezJgy6pAhAh9fZRx5qaSkw3qmFyEwCBkFNIc7BJDforgau6374ycdifgDHVpsh94MIUsHGgkwrHc/tTBy+n4K2i5VVZU2HCFBROAThOrSKmk6tqTObdo4AUHGhmHnXeuAIcVr9WQmJwFYgLNdVLMZ2MCRe87CRIF7wAYxEAk5aCSDqacRBpN2JBpDUSj3cOpQSJlmgV8lQckqx0xDpstowVDDMTKGze45zfp1s+nmvm6lOoakJYwfxHDZUO9HHVvytN33+tvlEmTV9LCR8aBG9/3x382i/9PHleYL2lM7fMq3/qp/gffuxlNOsKITwhlPuxfsZf/1VOYnINJo+pUaPIFN7HWKNQRUkjKbA2oSgTIm2IEo0lI4oLpBLEiUckJSkS64Im0DqDNzHOW5Iopzfs00hGYBUCiY5yBDlIA8LQiOr09ZBeNkDIAMCUhbws0Al4J0MgblnQ7/XIsoKy6NNMFA7Nzc97Gt/zXd+CNSUy3+GB2+7nyAueyv33nmau02Zxvo3xkjzPsd4wGPQYDsd8/p4HWdvapLTBUMeZ4KfZbNSJ4pjhYMBkkiFlThxpiiJ8gZZlUU2aoZYm1OpNvFKkwwF5Cb/2rk9w3cmT7E4cnc5scEmLFLMz83gh2N7dZWdznRNXncTNHuLu++5mfn4Jb1LSpI7zHp020Hpnn8LrnAu6VB2Tm0q/KoP2UqY1ktZMoOEUGXlR0JlbxrmQL5jWWuik9hiusn+Yqs006G/s8HPvfgM3zbyUX/+/Xs3P/b//B3ef3qZ/4W087xWH2dxKOVTrcX7347zy5d/KH771b/nN132MqG156U/eiO8P+Ms/uB3pLQ/ddYkH7vC88KdPcdVNr+Ty4APMzUn2+hnPfOLTMHabdPdzfOh3/wpdy9Adw/Ne3OEhn7N63ZMZFOs8/eZDHDm+wiPnBtx15hHSJEaWY3p5zguf+z18NP8k5x64nbkF2NoRzC4Iti4OEVHCYMMi84LL52OufcZz2Ny9xKwesdbtsTMcgbcYcrzU5IMeSgtUQ3HsuODCgwNGR1NUPKYsa2jlwAW6eKkd3tuQe+iCqQA2fD4VCbmdIKxHyogyEmRDQ1p3fOxtEzz34FTYBI/HY/bOR0BJFCmUK3DjEEmf7VpiIfB1R9yIGA3HkDvGmSBSHq89P/1rCX/0y2P6l1K8FMQJCK95+FM5M8d38eU2lx90ZH2HV5a+H7P5xZI12YSXPNar7Wur3a1tlFLU0jTojPJgQAMwGY+JkwRnLa1WCykFk8mEdrsVohmEwFiLcoLd3T3qjQZnL5zn9Pn7MLgKbMRoqStzM0mnPYuH0LBRCXYyYrY2yzjLmGvPUeBQ2pJPFLWaohlLZueW2e0PSDtLNHUNh6Qx3GA7STg6s8JVywuYosTEKtiva02eZ/gSTGnY3dlFRxH1eh1jDLt7e8RJQpIEI4ppCSEYjUZorUP0A6CExjuPNcFtdZoLZYxhqTOHtSGvL05ijDH7v+t0ZsnznNQ7eoM+kzynUa/TbDaZabYoixJjLbvdPXYGvcAKE+E7abPcYnMn4ZpjT0C2omAKJgVpmlKr1So2RKBbxTpiMhpivQPnaTeatNI6URrjipLlxQV6g1FInf86ry/v/icJkw5EhUcC6FDST4VBlZ7kIBhY7u9Up/ep3Pmm//uoCdIU2Igqk6qKAZYHZhDg0QRTCuUr44ZqqhBirWQ1cZD7u+YpVRGqCZv34f6V1kUJUMJVtK/p/QPtTu47CFSuUkLt/5/Y92lnOsZjmv80BXRT96npH4HSVwErdxDqG06+xwuJI+DPAOqojuvQ3hNpONxJcNahVbhPmkhiCYXx1XvhQ1hmIsEJCufRWqAjQVZ4SmuDiQYOpSVzDU1mPLH0pFphvf3/uWy+/moKig9ANY8aIf3d/f43AcB/vbwHh8N7wRt/63289Xd+FWsEzfYSv/L61/H8b7uJqp+yT/f95vn86splDt1xSOlgBGUWU5oYcKQC8AWTwSxRUlJaSxppSmVQLmGyvk5kLNH6Ju1aEuLNADXu4YdrxPUatfY8q4uHMJMaiKy6OoUcHIGjLGJ6+ZBBmVGTEWiJ8Q7jHMYaEBlJTbNrLIP+mM2tbdbWN/nLd9xBVBbUk2WGZpYHH9xmIiSljyi9RdqS9Z0um9u7eBc4/DqKKDLLOJuwvbPLu9/xDna3NnEVK0EpgbUeqTRlWeKFJMsytNakaY0oSjCmDPoBKVlaOoSzhlF/j8IYTl3zBHxhEHnGpHS0Z+dY7MwR1VPazRl6/T5xrOn2eqT1lLWtyxSlY25uAYFgbfsytXodgWTY3SLL8wOtK1Aawy2fupPX/LMYKTXOO4wpSNIa6Br1ZhvpHPloSFlkeKEQXqDjCPkN4Kg60SOOPKVO1BD0+7fzxk+XNK/RfM8TX8lnbv0zLg0KytjR/dxreM33PY377vwEh2bvZpDsIYznI39+F/NzCcaWKB9hSrA0aExu5PR9H6Y/XGT52Bz55fv44ifvYLxj+OuNB2jfEKHX6gxzy4ffusOM67D6grt5ysvu55672/zOG+7h6huu47rr5ulf2CZdbbN1rsunP/Vx5lLLTd/6ZPaGe6x94GEKr5CNiJn5RfqbW6T1hLi+QLFzgXIv56HNbmhUCIjq0NEzbO9NUEAsFKeeFbF+LscXlt1egTNU5lfBitrlBuETrNDEHnSiSVLN0EjGWYaxJXEcB6qUM9SaNcygIB9adKRQqcFlgkwEwwRnDFoJIuVwVgfHWhMy0KKWxA4NhXPoWFJbkrz0B27knofHfP6v7+MPf9FiJorcWZq1CJ96bCZo1Bq0ao2g/YkTOguekzc/lfMXPo3uCLpnHv+a6sJbZOmI04SiLNE6TL6ttdSaTZw1SBTdXo84DsBhPMnpdbuMs+zAcVnCpZ0tRqMJMzNzFLbAZgXCCyIVszi/xEx7hjzPGI5GjIsCM9xl5ej1RMpQDje5/PCtKOs4fOhaoransA47HNFJ2ixd+3T8OOfhez/EynyD7eEeh1efh/UT7nzwQeqpwhjLfGeONE4YDgbBYEIp2jMzIVPKe6y1NBsNdKQCQNLp/nV3ev2y1uEx7O7uPkrvPX39EBpFSRwT6wgdafZ6e2itGQz7WOepNxpI57EC0jSlPxlzaX2Nufl5vPM06nUEMDc7y2x3j4cvXWA8HiGkwJBzeXsDJQXXHLs60DGlpJameO8x1ga7eIILtcoU2909IqVJ0xSLp7+7iy0Lzjx8P5PCPC6a3V8+/FdOqXgwBUn7OUiVdulK/URwmpuOAMLvHmUMUQXcVoMfxBUoqHrLD+hWAaEh/cG0Sew/XmWOcYU73tRiYkom9NIjfAAtSvrKhcpX4r3K7IKp5mk6+TrQfYnKdXAKpA46AdPHPgCP+1UBKl+5E04ph14ECiAqnCPtwvMKAIBqwlJZf6uwQY2UJBKgpGeYFVjnqSmJUoKJtdS0xHtLpGVloKFxpsqsQbI7snjniCKFlqC0QAqNc5AZR1LZ3Y+LEv8NYFTxt+//JE990fOYTQ4cHb9ZftqXqM5JMDcQYsp6rZoFV3IivcBj8Q5+4Rd/h4998L8wv3SMt/zRb3FoqbWvOXwUjfKb9VVXUjMMilqwsSXCWYvHoIRCSIHLJVZnuMKhBNRxJLQ4NL+MWDyFx+KsZzzYJFEWU4yJdYudLKJEIx64DWM8ndk9jImwVpD1E4RweOeppSWxCsHheIsUmtKFa/3c3Cw10aAVdbhzd8jFzc9z5vQX6G312DE1Vg+d4ImnTvGpW/+W1YVDHDt5nH/5b1/Pysoi733XH/DaH/hpdvp9PnP7nczNzJL3tzh09Aif++wdbG6us9hpcfLoKmcefmS/GRW6yzVKG+zNtdYorcmLDFOZZHjhMcbQ73VJkhpSSeabM1z9hOtRQvPhD70bnOfQkcPsbG2TmpJWq01aSynzjHoUkcsGkdQMRz2cc2zvbmOyjGRmhlgpsmxcBQ/7A2DlHdobPJq0VsNYh9IR49EAOxmgKwObtD1Lq9kK5hpKM+l1Qxjw47zSTDFct/TGY4S0nL3rEitXa4rjXV7yw4dYrBf8h/vW+fBf/y59+y5eduPP8aT+1Vxcvp18IqjNHOfsFzfBQ1IT/Mqb/h0vOfGdfOg9f8L9X4hpLcxw9va7WD835vCpa3jWy6+hlm1wsaxz9vynKVLF3KYnXR5x3eIqn/7jDo2VJxLJ87QOX+LCPRMeOTNidr5J52SHxYWnsrF+lmfc9Fw+esttiJkezdl5tCvJNtYxeU59dpEoga21XWwxIYmh8IoYDyVMiixsjq3i5E3zXDPbIfIO011nd1LjpmtvYH75ai4+vMnc6iKXL29QjwVbWxPml1dJm23uPn2GUqxheBgpNVmWEWlBlCZ4I3DWgXMUEo4s1LlwdoIRfWI0VksKb7EFxMKjPbRmBcNdg+po8iyE1XsHk8uWt73lNE99SUpsdaBplcEZ0EvAOVozgtpMymBjQqdVw9iSwzel3PG5e5DWousxUfvoY73UvubySmKdY2/QJ00StNbUaiHbKEoitNTU0jQ41VlPmtax1tKZncV394jiBAfk1iCNYbnRpj5uMBwP2XNdIhVz1eFj7O3ssruzy/LyEqPhiLnOLDJZxWzeyc65D9Fb36IA9oYF3Yc+xVzawJVdFhZXOetj4gc+zcc+8n6e8fzv5tZbbuNbXvoTNAYfQXeehdA1ZppzFCLHe8/WzjYzMzO0koS8LMiLnGa9XkXnSFrNZjDcMMG9dLpH9d4zGo0oyxLjLKNsQrvdJi+LMKUzBUIEkwtrLWbY58jKKrUkZnl5maIosNZzeX0D60ZMxkNKZ9FJjClLikjw4OUL+NIw12yTpintZotGnHLt1ae4cPki586do9lqEsctelnOXadPs7Awz/LKMrU4pV4LRhyDwSAwt/JAC5ybnw/6Kilw3mEdFM6gYs1k3GUw7D6m6+yrqS9vqV5pi6Y/+zB2Ocirgv0voDAlqICGFwg5dQ2sqHtySsnaNyivqFqPtmfHVVkjFXibapcQV1iqV7Q/IcBVeqNpHsqBm181UQtPB70/tZKVe9vUFe/A6v1gwnGlU+HfCTX9uz9fQUkMjMfpeZKVG2EAkmEaVeVxyX1GJYhgxqEI9AHvAsCz1pEJGcCW9yH4kzCtK61lx1oiRdArKAnOI6VHSYkUlkhCsFZ2aCWwpUNJibee0lmMDKYXsRYk+us/pfor1bn7b2d76wLf9iM/xEoiH2Wd/4+lgvNlmFxaK9i93OWRLz7I+vkHyMdjsmGX3u4Gaa1JpBQLx65n+dgxjl57LfMnG4SUL8vHPvsIf/7Hv8etn/go3/vKn+Df/JufREuuoNJ+s/6byyZYIXBW4oUnTT07Q0eiTdBBOIOUoKIAbON6k1Yi2T57K8IXmLJkOBiw3TOcXG3SaDSotxYZe8VwUpKvX6Y+v8Rk3ATvsN6QNErybIyKS7IuFIUJVBDh8cqjtCI2nrK05OUQrTo85WlPZW1ti82HFrjpOc9mUgbGwszCLMS3MpYp91/cZTTswf33Meru8Ja3v518NGIy6lHTkhlX8kdv+X0a9QhblowGA7a2uzgT9F0g0Epx+KoTPHDfaRAy0HGsxVmzT/GOlMYYw+WL51g5cpxGFGG95/y58+R5Ti2tEUURly5cRClBo1HHFCXe5JRlQVqr0UojUm9ZbHh2Jh4nPHGSgPOUPjgNlmVBJYMgWBJ7rj11nHZdEac1fvFnfog4leRFSVSvE9Ua/PZvvJG4UWd+eYXveM6zGA7GRLUaUj/+PynXnBScudjhGc+c4faPbTMpSgZ7Gbc9NOQj7xe84CXHuOGZR/n8Oy6y9eEuv/jT1/Bn5wY82R7nmlPPYhBlXP1T13DLH/02n/zcHre8++1c96Mw8yTDi676GQbjB3jXvRdZms3RdsCNx07yx7/5N2SbBTqJmd21lEbRWzP4POLma59I3p5l8ZobeGjjfgbjCxx79tNw3YfY3BuTlQP++WtfzVv+8I3s7tRQUmI2egxtCbtj5ueblMKxvbGHz0qUVohMkLbr+GzMeCCwha0y0xwrxw5xbm3EqaNP5Qd+/jquP76Ej9vM1WJko057pkZaa1BmJZtra8zML4CQJLHGeME73/5J3vQ7/xE7XsfkHqFLvHXE9QQsKAnrFyf8+L+r8/v/zrB0osal+zKIQlM4qWvqy4vsPrSO05rBZUvkJImMGGdh8mJHljvfM0KlApylszrD3tYOzbbCSUFmPGW3D2XMnhty+AmC2/+2IFGKjJionZAkX//ZP1+pdnZ3UVKysrTMoNdjeWEJ6SW1uAYmuJiawoSpobVMsgGRjhhNJpTCce6Rh8nznDiKSNMapq5pNEKYbxTFtBtNuv0BvUlOq67pbm2h4wZLac7Gfb/HhbOfZ1gqZKQYjEoOr3bIJwUujWkunGS9N8DZgnLrdlaPLHH69lvob21S/PnvcOOpE1x1fY4ZZHzwA/fy3T/+egbjQQhpV4qiyJAoZBRRmIJ62iBJQoNcx4qkrnA22JWXxpIXORvb2ygV0ajXaLXaDAYjvBb0B32UUpjyYILaqrXJxyO08tTTGo00QUpFGh+pMgM77O72mYxztgYDTL2O8B6dxvTMhL29Afc+eIb2TNClFqaglIJJ5liYX6bRSBgNM/ZGI9ZO38PcfIetjQ1mmuH2Oo0AwVxzlmwywA4njJIRQ+/Z2F5DioQbTt7EmUfu4WL29a9V/fKaKnkAOODgy4b9v8PGPEy0xL6LnqgyqvYpcVMb9mrC4yukXR2IqUh7f3QzPZaswIiXAa9V1Dvhg0GEF4GcOAUmsrqfpEo6BxD7PXq8F4F2U9U0q2i6VfSEjq3f/9cV2igpK1IelatVha+kRPkA7hQiTMim7oiVMUagTYZJVJiTiUqgHV5zOKo8AJC+cl2rzCmkVFgPoyJo2YTwRFIgZJhmQRjPRkoFcKU1hQnWwokCpSTeujDZk57Ea4R3KKCeKNTjv6lK0V1jrd/jk+/+IN/7wy8jfqyf0H/HCs2A0JGartJsbDh37yNcuOsLbD7yABfP3sN9vYK0Xkc1mnz7t30LnVNHWb9Xc9eZh9jc2Eadvp+F+Q4NFXHtNU/nlT/x/fzZW9/Gez/4brqDIf/rL/wSP/YjL0DKR38Wvln/7RUpwIWpkZIphYNGGqzNMeBNAD3KhoaKd444dtQWNPnYIKMmC4sJw9NrzLQhWVnEi5h2HrEzEGHS7Spisgq2uwiBVhZnFUpr6lGKzCQeGwCVA43k7p09/tP//RtcuLBNfzTm+kN1Fmdn6I3ex8qRVTozLe69c8Jwd4e51DC7OMegB0960k386sffx6tf+Wo67Q7dfp9Wq8nvvekN3Hj9KU5cc4ILFze54/Q76Q4GFGXIP9FKUqvXOXvmPiwOV9m+OzeNKHDhi7/KXRn0B4zP3MuRI8eZrdfpDUaMJgM6MzOsXTzP8mIHr2oURclw0KfVbKGUpSwN2knGkxHfdc0cn3i4z8bYoLVi1O9hvUMgwibb2MDrR6ClZq7VZO3SJaJI8F/+9D286sf+KVHkiFSEt4bb/uqvecaLXkbW2+WRB+5hfvU4+WhAEqWP9VL7muto7XrWFu/gkcuKJ1y3yOl79xh3G/zAq7+L6647gS77NGd7vPYjb0PZhN/9z78ES/CCbznJ+mf3uP/TG9yq72OU7/Kff/7X+NTee3nwC5v05h+gNHt8/NYvIrf3EPOCXBb89q++GW8t1z/vBOfu3SDPymAnbRwPnd+iJ7eJ5QnuvnQ/kyindbhOvnGZ+lyE6KZsPHQHb/7dh3B7CQNf4rvQWG6SbPboNWIQGu0FUZ4jpgyOuZRSeKxP8MMMoSXCK378J3+WY8uSxZsmXHvjCZJYo5vLrG9cZiBSYpfR2yzxSKwssdmEcw/eS6xTZhaW6Sws8LKXP4kXvPDN/MiP/hyT7ALOUrFfVGVKYyCHP/jlAu8125sF3lYxKomhsJJ2tEM61+aJN5/gsx/9IpH3UBpc04fPiYVCaFThWbiqhslzkpkG/fUJcV0RzwlU0eHwDbOcf2iNhz8/ZmFxjtzk7F6YcPWTT/LAPfc+1kvta67DC0sordBIkvl5rLMUk4I0TvCVOYNzjrIscc7RbrYAUHFEaQ29eI9ISFZWVmjWGvT6QR+kowjVmmFc5th8wOrCLPUoQkYNyoc/z/2n387GhU1aKwsMR33m5xaZjLtcvmSwRUm9FpF3coQUlMZSek8aJ5zbuESO4NKFda65/gYeOreJHZUca3nGuWFn0kcYxdawF6jFgM8thxcWaR9rUpQT0rSOUmFP6BEURcFgOCIvCqTSOG/o7e6xurpKe7mJxXFkdSUYWChFO6kFtpazOAebu7t0GSKFoFarAZ4kSYhSxeHVFYQTLMzNMhqPgxPgZMTu3h6NZhO9EuOso9VosL2zgzAOoRw7u9uMJwllUZLECfOLc+R5Sakd53YfIZUJRWZp1urYMufS5lnW1tc5duQ6oKQ/3KVRn6f0lqtWTnHyyHWP3SL7KusraKoqnh4HU5tH1VRTMWXkSSq3pyn96qC1La60Y/gShg5X8on2gUylWZqG+vqKpqcqsLZP8qpMMARBL/Uo84j9OdHB/+9bu1evyVc/X7lp3H9JUlQW59UUTLDvALjPmJLVrf30nmL/3Hjvq0wvHv1s9ulXB48lxKO3ruH//H72ltg/hgjGE5Wz1zQ3yboAlKy1aBmogngbur8+dIBFlY6Z6qAVM9ZyYJnx+K24lmJGPQYbF8idIP4GAIpfqsJ6DWPcfr9gPDYM9rp01y7zwJ23E8UOOk3yw9fwipc/kUhJnvnsZzO/Mo/zku98yQvYW9/i/ANn2OsPWFlaoDce84lPfIZ3vfVtfObTtzCZ5BxeOcorvvf5V9Bcv1n/ECWERUiFMxFRKvBSMSqCpin2MeHC4QgOSgZjcjwGqTVREiOTBO8ijLEkrTpC1UA2EcaCsvv0NWclplTgJV4a8nGgdJSqRMgAzJ2QRFJVfSxNd1AyqRUkiaRpI5ZnZyhFRCNpMh7kRKpJp53A0hLdrW1SLenv7HLvPZrjq0ucv+NWLkUKmxcMJgXXLLRJ+4+wfvcmw90e25cfwbjgPqp11Eby7gAAIABJREFUAFST8QQdK5wXleOUCIYPIjS4arU6/X5v//JqjWXU22Om0WA42qMsDXhHPdUcWVhifTABqRiORiS1Bs5a+qMBi0lM1OogBKzUJN0Mxg5K50J4L66im7j9LwqlBLOdFu1IkyQNrj68QqsR8me0kuALTh5epp4mNGfmWeh08L6kXm8QfQNMyp909BCjeUNNlCwvDzlzxiJ9yealW7n2xFN5oPsBHvqM4OaX3sBqfJzfe/v7+MHX5TwyusxTVn+Gp77oENvFOn961yXG6R6fGnyRi37CUgMy8QhuuMY4K3Cmhl0b4yaK5JjiqicvcdNTn8Jbf/M9lBPF6jVPItOLSLVFd2OEmJQYb0BBvjdgaMfYsaYQgo40TJxjdKFP0uhQuoiJj4iExXhJqg2ZMaRRhBEgvUWhwvoSDkVMZ+UQ3/7skwwv3s3GhfOsri4wu7hMrZGyurTC5cuX8NmQ/4+9Nw2W7Drs+35nuVuvb99meTOD2TBYODMgAJIQQYqrRFIWZUmMJFulkpXEcrkqzmIr/qCqlORKVHacKkcqZnEimnJkWjFNWqK5SeACAiC2IYDBLMDMvHmzv33pve9+Tj7c7vdGdoqwQskAFJ4q4AHdr7tv3z7v9vmf/1aZ2oOjFXdur4AwbC4tUq9UaKzfYe+x+xHa5/DRY/zsz/wUn/v8Z0iSEBuHSF1CWIjbIZkpKlmsMCQdB7QFLRDawSkpEIL9j8yhdQ0clyQ22DxD+RLTtXg+9ONi8SuVi1/WZJnBnxqh3dzCVYLDsyMs9btEvYQkhmhli3LFR9R8Ll28yMyJt3/8f6VSIY1iHMfBdV2SPGOjsY12HVytCbRLyQ+KdNFB8qdSRXl3lMTsnd2D0pqyH5DnOa7jYKUoEkL7EWG7SeAGjI5MkMYpZWW4svAFOl3Yf+Re1pub1KoVup0OgV+i225TKQU4WpGnCWmWElRqlCoeV6/ewGQJh+49QtLaoB91cWWPONXcvH2dkW4bm+do5WARhFFEEqdMjowyMzODUhLP9wdLugyLJUtlURCd5QRBgO/5aEcRx11c1ynCLERRXWECl0yaQm6aJsSJRSmHSqUGJoNBr1Wv1y3AqBXoklOsGz2fzBjWtzep1euY3BAlMTbLmRoZIwgCJuujVB2PRqdDp98jDEPm98+TxDG+62Iyi6cd2mlGKiVSFH1w5UoFsSlQrsCQk+UJ3aiPo6s0201cz6deq77ZU+0Nx/f3VCGK4qYdCd8u3AEGseNix5MEapCYN0jy2wExg3SwAegSQuwENogBQNlNwyv4oKF0cJjYJ4WlyMSj2GFVAjVkgSj6n3fCI8QQ2gy6rNiV8+1I+Ya7/APp3vC+AhsOFiZ2mGY4eHuyOF4xiK0serKGZ2sXzYlBES0GpBoAJzuI6x2+X4YYrGhiLxgyU4C7AfossJzcLVMdnBMDhFm+Y1SXOWiRo6XGVZI0tzvJdpmReI7AcxVqELWspCLNcpTUGGsJ3/qM6hsOpzKGMoo43OLFp1/lRx5/APfuz/stMIYZJ3+mx/w7GxlpKrhza5ML33uOXqdFluVsN1qkaUq1UiGNLAbDSK3K+bMXuHr1Bl/411/ixp0lQBIELiDZ3GpQK1dQjiIKQw4dnC9ewJH88q/8HX765z+M5711zt1flpGnEEYa7cYYSvQ6GUZqpMzISOnHIdKvIGSE71s2l7eo79lPHGe4WiF0mW57k16UIWVCHq9gVRVhR1AqxxsbY3lpjRF/GSkMcZySpRG+EKQ3XyOJQ+j3EFaAMHiOJMszlLVspCmd+0e4/zpMj01TDurk5LhegtYZvlEYBEFJ0L35KtduK7CGzrUL6LjH89/+FntGa1RqVfI0I8ljVLlC3Ghze3WbZrONQKKV5OiRY5jccP3mTWxusdYMSoLtYFPOkgNRGDLg3YDi/k6vy+r6Kn6phGML1v5Tpw/Q0FUakSXud+m0tomTEJkb+kmExjI2UifPFB9+cC/R+VUWtkNq1Tphr0vYbxVY9u7PylhAIYVGe4rA1LAoMpthtc/IxBRR+wYCg+N7KK0xbgmnOor03v5c+bPNc5jmHF8++wLveqhKd6vHwx95D9VRxZgf8srtMj/+8I/z3/73v45zcIJf/e9O4M9c5NqN26xsXOL05Dhf+sKT2JmIzz3xb7AHZznxjsdY2XiZ5VvrzJ/4KTYXv8bIfEYWtxk9PYKfJFRr03h+n0/+N2W++I8SHn33JC9c/hZ7Wh8lqb7MO39mhpefX2TvaI0L+TaxG+LaKaYm60S5Iey1qM/NUhmpEiUl3CAl7WWkrS3aViKNRDgBKhdESQj9kDTXvOs9j/PAfSc5cWwCFW9TL2v++JVFxvYdpRvGpBeeR48doLO8QGgslZEmQkJ3+zZuUKHZjGiubLG9uc7ijRucPH2SJQW/8p/+GItXz/HMM88RJhadh+QZWJsyMhLQDS2O1mRpUV5vRMho1aPTynGN5uiRdV5+9Rrj+yRb13IiDVUcenlOt2sQBvoyon8lRDmG0qQmj4oSaqktL75+ndn9I+RZglICm2UYrdGpYqRWw3bf/kmVWZYNPGs5WZru7G33ez1sEBD3Q5TWRGlSMFYmx+SGLEkol8tMjIwARaXDMAtg4dZ1+mFIlhmQgq04RW/cQjZv0l56GpNpMmXY7mwxXhtje3ubRrNJUK4ThwnCZlRLVeIoZn7+IK1ezNkXL9FodxmpuazfWeWeY3vY2mph0ExNT1Iu7aXkGEzmEfX7lEsVyn6ZQ3vG2Tc3U1hBlMbarFgrKgdrBVlSRMeXy2WklDhaoLTFdysAg2h5VdRNGEMaJURZiNYatEsYxbQ6zaLPFaDbLcI+jIVYsNReJ80zkjRlo7nN2tYmE9U6fhDQi0Jcx2djcwvXdeh2u5x68B2DcuWYbhIxUq3TaXeIw5DldgNHBeyZPMDMzBRxmpCmGVnqUq/NIaTL5tYK1lomRucIvDLGJNxeucrlxR4ff+99b9o8+w8Z31/+p2SxCEftxJrDXQtDUXwxC9SAgAQoulSwAzw2eIQcElcSYFg6O4jWHYADQ+E/KnxJBWAzYrck2B2kqUsxfL2ByX7AUokBILt7d30H7w1+dzd9cCDPkyAHXjAx6PG1iIF3jAFoG3JKAxmgKF5J7WTGF30rVtji8UN2Tw66CuRdCYBDwHfXzyEnN4CEA2vart9LDVhAbxDUoWXx+67ajbH2tCY3hmzgSTN2IBOTgsxYbDrwr4mCvbJAmBaQ0/L2XzwbU5zFtB9x/skv4ngejz16dDcV8D/iGPrw7DAlAhguDO+O/i98eHfTqoPUy4FU1gBhN8ciaDZ6nDt7idfOPjXo4IBGs42jNVEcYxEs3rhBo9kkzwzVaoV3P3qKn/jIB5Cu5t/84VdZ39hmdGycP/nWt1FasXj9FsYUHUKtbodXL7zOB977bn76Fz6C5/xQ8PcXMdpbm+yd3gfG487NRSbHxxlVPiYztFob9Fsb1CTkeYLJDGGjT2vpDm5lHFmrkkSCNJ9gak/O8maI9nN6q4s0uzm3lxuozhJZP6HdbdKKcwKtqdfKkKX0bi9SK5UoyRRHWoS0SC3xpMFJBGOp5dGzNxnfN8UDh/ZSHRnnznaTfbNz1MYm0E5Ao9WgVq0hpUuaJTiOj1JFH8zS2jKTo+M4Xgmb56QmRQlFo9WhdOU6n/nKt3C1wEgHT7nUJydYW1slTgqvSXF9lkVPCuCqgp3LrcAmEY7jFObrPCc3eXHNw3DvngkeuqfCuQZo1UJag+9qsjTB9wN8z0U5mn7Y59yGx4MPjLGnts5qB9YTg+M55LlPGscDw3vxN5ubHC0sWR5RDipsrV8jzlPkoDA88HzavbBgGR2XsNWiXJ9BGHCdt79PtV5R+N2c99pHefa5F5k5OMvG4iLX7zh89asv8om/MsaLZ77A/EFNJF6hFLyXJ585x9idh9h38lGyvMvYyYzH7d9n4fAWT17/53z+n/5LDt4bs7C5l7/+sye5tnIG017HDWrs2X+U1752kZsrT3Lq2DzxxFFOPXaD0w+P8976/8S4llxI9/O5r3yFTr+OiraoT1RwKdHs9Ak9ydTkKOqecUy4Trk6ymd/4x/Tzyz/+a/+ZzRcTdZsE4gSJrFkeYYWklBofuJnfpmHT87Q3Frnme88S2NllXf/yGnk7DE2woCzl69x46XvcuDIHHOzJQ4cf4yqX2Vp5TZT8wdZX95gZu8kt6+0mTowy8KFVzmXxPTu61IerfF3/8tf4r2PnearTzzNK2e/R9JPUNql0zIEZUEUC4wwoAqms5+meNIl6eU890eb5G6JPR/OOfIxl+c+beg2Y4SWOI6HyYpN5swm5Jkh2sqwMsYNNKCpj1dZv9VESk3mgbQCVe/hobCJR9LrvtlT7QceJV14pSrVGo1ehyiM2Ds9izGGOI4RFvphyO21FbR2cFQRNx4EHpurTWampikrF+04NDsd+kmI5xVJgoGn6ZgQV1foX/kCvdvX6KU9gmqV2ZGAbq9Pr71FlvQpew6vnbtIJ4w5ND9H7eAeavUR1jc2aHYr6LEaW6sNpF9n4eULTE+MEGOQ5FxauM7IyAQ3Lz2NN/EAM2MTaCyHjx2nUimhtCGJixCKPNPUR4eWEYMVMWmqd4rLs1RQrZVAGbI8J82Kwvks76NkwXK1WjFx3GVtc41y2ccLfLTrMz0+itJFfyIIwjii3+qztLFGq7lNlKXURsbpppLNzjpaK9Kkg1Q5gVtlpDrKa5evMT5RJ+33abSatKp9Kp5LYlKEKha1e+f2EPdDGo0WjuMRJxusN9botFq4nsIageuoYtNPOdRrEwje+hKkN7zyq0EH1G6pZwExdhPAhkwWu7eLAowNV/xyx2zFLpszADVDCkbDTmFdoSM0g2Q8diR3BcCTO5I/ATt9S0MflByk9hWHNiz0HR66YJdsEwzDL4zc9ToVbZiFURWpdtgogR2EdeyGaAzfjhnIscRdCsBhHEfBsNmdIt/CS1WcjJ1iYWN3QOfwHJq8iH0vitqKYx3KEKWF3EJq7c5teUzBomFxlUANWTUBVimQEs8p5EVpbopdGmtJjRmYxt/eQ2vwfA/tSIwIuPLs16mVfQ4f30fJ2e1I+/8yhrOriKkcaJiHDO3dvzf4X2Og08loNVosL23T6/XZXF+m12mhJUhHYTJDmiT0+j0azU1mJqcwwiXwq8zuP8jUzCQXz77I4pXztNodtKOZm5nFZDn9PGR9bY3xiQlWNzaYnZpic3ubfNBD8fEf+yC/8Nc+xbXF6/zyr/7XbDUaKK2YHh9jfbtJGmfcc2APa2tbSKWLTQsrEEpw/tIGnv7TJds/HH9+o718C1rbREnERLmC2l5io9OkFpSYrtYIA0U1T0BkqMBhdGqaqlvD2/tOBALXWuxIjlObRSQtHCxicpTG7ac5PeazWZlm/+wMSpe5urrC/OQeSuUqSZZgrcHzS1y+eZ7FZkQ3CalqD5/isjfiSurVChOTkwSVMXR1lKnyFOVqsfsptEZol6Kvz2CkxGDQQiGURnoeUmsKLUGOkBohBM1Oh2+8+D0ajTYIQZ7DzTu3uK9eB1mERiDAcz2slNg8BSuQWmMN5FmCsba4HQBTfMcYw/jEOO85Oo03EfD8cy/T7SfMjI0xXS8TG0MpKLFyZ5k47JEqyYrjs9KxTJR8JvyQdqLoJzGBVvQorpsIg1IaJSWRdki0g9Iup991inLJJ83A2AyEIDh0EOn5aC/AG58opFmet7tZ8jYeq1GDq7dWGZusodczaHYwkyH37z3Np/7WL3Jp+XfZJGFtWTE2tsbiQp/69jt55EcP0ptbYbWZoLVmJlrnf/2D32MtbpO1Y6KRaWqlLf7km/83lSjimPMgF9U5zr/0CnnPYlsJz168wKf+qwdZO1xnrdHnx07PcPbOk/SuV/j13/wt/uT5z7C+6rBx/jLv/uS9fCu6wp0bK2x2E0rVcaKuoLG+yi//2t8mspYobKDIUZVxfNMnl6NMTe7nxtIVfu5nf4n75itsNmK++EdPsnFnmT17Z3nEm6E+pfmTb36XuLNM3VVkVrAduuy1AZduLmDTkNGkRq/ZRlYjOt0iEnqsLmmsX2GjLDmb9XnvJ36Bj//EDK3QsHj5ChP7x1lfbRNHbcJuF7fskWcWrCSJYnBAuAqRGLJEY0zE1WdAfyPHL0HY0WAz8ihBWtCBojpXottMkL7L6fd/iGvXvkHUB+P0yROFW9PURgOM6iBjjfQk0gi6y2//uSqUBGvITE7ZD/CdAmRJC552SLKCvbpn//yOrUQKSWpzJkfHCPt9hDJUA49cQJgmbDW2UVrhiRqz9TqjvRsc+9iP82+/8iW8doter0c/TiiVPaJeTKvZQkjNvsMH0W5A2ZW0o4xLty8ze2ieW7eus3/2Hp7ZuEBrc42pPXWUAheYnruH8ZEmc3smWN7KefT995P0YxxVpPR1Oj38QGNySJIYa3KiOMd1NVopgiAgSyxaF/UU3W6HuqwQx0W6s9YapSSuN4IQkjAMEaKCtZJ989NsN9pIrel3+6RZDqIoG86yrFgboKiW6rSbDRSKfrdDkm6S5zlKKUqlKsZItpprNFprKK25s+5x+MAhpO8WXWECfC/gHffcS6fbQWTgeCWyICdJc7TrMTc5x2qa0ku7ZLnl5q1b1GsjjI1NYozFcd76UtU3KP/dZYnEsDiXIUASO56hITM0xE4FuyKHuKXgkIZdT3bA+8hCEiilHTAxctDDPHjOYfLeUJ4nxSDBjx3ZoB0EOewer9iV8Vm722MFMJTQ3WVOEgPfkxaFb6voFjGD59ADOV4BkIbx6AXYKszgdti3MmAVhjVWhazQ7qQSKgFlV+KpwUmSgLHkeVG+q9QgBMNK4qxoTscpFIQKQW4L4DOkpeO8WFQwSAqUUu4wf0oNODztoCU4AjIsRuSsbt0iz1yq1VGQgtxo8py/HEl5aQ+pAnqNDZJkk8roJOee+TpXXxnlE3/tU3jq30lx/A8cQ7LJGEunk3D71hqLC7foRz1MlOC5CUpItBIkcViYQ1sdpFKkSWGKzW1R5Oe4Hq50KPs+SbcDLlQdzezEftrdkK2tNRK/RWPzJlccSZZmGGxxwcxyzr/2Go7WHD92hOnpKTrdHqWgRLPTIYpi8ixjenqKA/v3cuXCRX7xb/8ay6vrCEAJRafZY3xyhCMH5ulHEVJJHK1xPYV2XPbPTXHg6Ml/z9v3w/HnN+574BR+4JCEEY7vY5XEWd+gWirjV0rF7Z67cy2VnT7eaH33CQQMo/HzNAUpaDZbXL+9Qf3gLFIHDIXUrl8mt8W1yHUC/PoYjPb41P7H+NmORF7rwlyKfc/fKK6rSmBFDqeqWFoQ5shXW8Rnl+iR4I+Nk4uceN5FxBntfh+tHbSrSZOMW8vrJHGG4zpkcU6Y9gm8Ms9fvM6Fq7cRUkFe9PNESchrly4yNznH8vrKIK7cRStJliRIpYpd18G1XElFbgpPqOO4WGvxfYeR+gRTdZ9mCCdPHGa5Kzhx8iFe/t5LrC/dZGV1k8hYkiQhszlSu3SMwuQx+ycqLEV9rDG0W12MKDZEtHZQWlMtl4jinHY7RGuHbpiQo8HGlF0foRQl38ekMSiJW/IJ42Twt/72l/+dfigkzg6yvLhFsysxvZjjB/bx2uuv8939JZZWffbs2eLwg5a4VeHg8W1ebbzOrdUVOu1FvPCDjAZ7+FZ/iXtOnaJ34zyiPs69R6YJRcjFb5/hw3Mf45X4m9zeyDh2T501t4Hp5Jz+yRNEZoVSeYwLty/TuPm/49kSoUr5h7/5RWJZh9zSLK/T/uoWoBCpJe8L1FQftQWx6fEx9nPm9mVeT1Jcren2OiRxzuHjJabnyvzMJ34RmWVcu77I+XNLdDZbRH3L+MQBtAObm6ucP/M8k5MVKmMOIo1oLmdc815lY+k2U1OjtKs13EDSXlunWras31mnsdlABRWS3jrxtsviK19n7+F38MHH72Vj+SMcuGeMp776FBtpidfPXkc5ig99bJoXn9qg31Yoa7DknPjILOeeWGf/Xo8biw2ENNTHXfxKGaSmu91FOZIkTeispQiVYUPFS19/gmDCRTg5rq9o2kIKW7IuNqmS9CNGHGjnHZyg9mZPtR94ZHmOGpTdOrKwZxRAShTgKk9RkcZTmmGadJ7nCANZFNNttfGnp2i0mjTbbTzfY3R0lPXNTfrc5J3zp5Cbl3jq28scmT+CzbtcWVzApH0a2x1uXL/B3gOHiKOMzXaXXqdFXyraSYbRVRYuLHPvkQOUqz6/8FffTSosk5NTPP/Us5x++BQr16/STnMaYZfqBDikBLUAKQpLTVHDqsmzhInJEZRyyE0h55RSkyY5jlsoHFxPMe6PEUURSZyhHY3nSaSCLIuRUuB7Hkrmg7WywXEEWZpgTU5ju1HUVoyPYckJSgFT4xMIK7meGSYnpmi1WqQmZXxsEiklrfYW1grK5Wrh01eS3MLriwsoR5PHKd1Klf37D3Dh2gJh1Edrl30z0+ydnSXsRwgNVkoOzh6gn2VsNrdoNFbZ3l4niRNyE5IkyZs91d5wvAGo+tO78UOQtEPT2MLMuxO4MNjd3ul2EjswZhfIDEHRMGxCFPI/Z0BlWUyxW8hdi2BR7CoUeG5XrCbkXeHud4MpOfQliUES4S7gwhbskRV24O/acYwNQJEc/J5ByV0WaidSQrDjwZKyAG4McJIUu/9oCb5S+FoMmr0LoKhEIXG0ctejNmTcrJWUXEkOhYzPFucjNQLD0PsFuS20sWIAqIriugTlePhKUvEUWdrj0oUzlGoeE+OHefLpz3P17KscOD5HY2sbS4+f/6X/EeVViZPen3XevOWGX6phrIGJWTqb6xghENaQdjd59k+e5B2PP85o+Y0ZKwuDomTotnPW11pcfPUl1lduo/WApTLFZoOUglYnZ5hsaXJTsKMDmWbx2Qhc5ZLEKa1Wh61Og/7WJm4WYYQgrIwwOTODozystIRxiKccpFDktpBPlWol2p0O9x45zAsvvcKVhWtMTU1QKgW0mm2arTbNdosoivmRRx/G93z+6GvfZm1tAz2QkGY2RwrJ5kaD7a0Wx48e4pMf/zDfePK7lMs+UCxWH//wR4H/lyqBH44/nyGLcAojJYPKapIkIXYDPGtJ8gxpXJSy5EYQpQluZoqNp50LafG5ZFlGmMR0ui1ubjRQNsMEJbZaTazj0uxGrNcaaOViDDxy/D78mXmEqCFUiqneQqRZseuTW6w0iDyH5SbMabi+Qbi4QRR1qN9zBFkZJRq1pFUXY3Pq4yMFUJJQEpKHD+4BK0mNRUsHg6XRjvhXv/k7LCwsEPd7OKUyjlTk1hL2Q652r/Pw6UdYXFwglwrfcdC1OnluaDY3kaLYXZJSIpQkM0Up+milRMV1GJERbqXEkT37eHbxafYcfAeZkUzNzhK4HlFeRGS/+N1voKWGNOP2ehM/kTiOpO4JSk4ZazLCXkRmcyiutlghSKKU0bEaUZozXreUPMXS+jY2zxDCsL7ZQJfHMRaSOMHkGqz591jst+O4/Mo4lahN1I35+x/9G/yzF7/NyQfvo5vD0tIzvHDW57HSPFXd4sH37CV/dZ6fkh/mqd41uvEjnHnlGer7L3HncocR63Py/j08/ccXuXS+z9xBQW2uxFb9RcydgJOnoLedk0tBqVrFpg3++Bsh73nMcur4OJ/9J2f46JF38sLqy2xvZ+x9MORQ6T7uhEsstw3tnqGkHdLYoMMMWQkY8yvE726z0dvErJbodhOE8FCiR3l0ho994DFcITnz3XN8/TtnaDa3sRgCr0QnSrly7mWef+I7WCwlVzBaVjQbXUqBJkm3ubxwm1aziVstoZwSo7OH2Bf0SA/EvH7lJq+8vECt7FApaxorAd3mNgfvfydHjkyw3Y7I/MOMVeHg8UlG6k2++ZXX6DdgbKpOagSOA+e/tUJmFd1uhutoRvaPU907zbUXF3HLHYzQKMfi2zI91cMYRaWumD4yStrv0YkztHWp1V1KVQ+bh8Qdg0gVW0lMZi2BfusvVN9opKbIqO/2ewRu0VOVZRnWWtI0JQgCvJIeeNct2ikCK6yBTrvN/P55ojgmA0quj6MU1dooVc9nbXWLV77zL9GdBSZrFc68fIZWa5t+FDEzOcqt5TX2HjhCo9Via6vB2Mg4L73wMsdP3Et1bJz1rS2mR6dIwg5huM2x+b20I3CV5PjxB3jxlfMYIXnw3qM8+9QL1PYn/OJojTCOwaaDDRpL1E+L72qZI2SOVhLX0cRxjus6JGmMkKB0selmjEE7LtbkAwJCkqcaHIMYpgZaS5YaRupVlBJFNHuagrA4WqEdjTGC7e0eCMPM9AxKaub3zXNn+RbLqzcw5MRxiudpvKRCEJTp93o4ukjb7PZ6uJ5DL4m5dO0qnV4LqYv4+eULtzm85wBVv4pWLpkt1uatZovMpnTaLfI8QTsSV7iMjoy/yTPtjccbgio5ABIFur8LFLHLcAwXYENQZSl6qmDA2tgB2zPwPlksEomVpij3pfgCs1jkMN1iAIwKBmfgvxoegC0kheau49z1PO3cuOOhGpb67vhZxCDtb3Cf+VOsGjAMjBjAraEsr0BoZue5ocCXQ6CFFTiy8JJpOWC5hMLVRUiEFILcFsxUagoN35AFzPKC0SjyLSyZFeQU5u3i/ZuBnK94DossnlNJtJYsnHuJPQcOUx2dJI77XL18houvfIegknPy0b/CmWf+Face/ChOUKK19T1GxlzqtVHS1NLcWgKmf6CJ9GYPLxghy2JMv4NV0NlaJwgqoCW3Lr9KP0r4wCc/Qun74AQ76BrDwuZGn2effIZWYxNjQwQ5WIWxxYVYKYiitLhIW0OeFT41m+964QC0U3Q+VKsuZmub1BQ6/tXNNqnNEWFClOTUR8eo1WpIIUiihCRJcR1N7nkoqXC0w+Ls5cbQAAAgAElEQVT16xyc34/ve2AtYT/C9310t8fE+DjNZgvlaDa3t3ntygICyKzBGoOQktwUqUcCuHF7iYdPPcixwwdZXltjz8wUCMGx43PAf3wf2v9fRqfXxypJlMSEWUYvSriz1SToJgStDkkc43ouXhAQJxlx2KKZSg5ODJ9hwPgPOp2MLTZsmmlOM86Z31tnamYaITWHynU8z6Hd7lCpBDj7DiHFdKHBlzn0I0TcLwBVnoM0EEXY1GAvbNB+YYFEavB94jtLKHcL98MnkZVyIQHc+fcgfGgQTe7mgDAYC688c47rN26SZhlGFPUQmclwHR+TF+Dl1p3bTM/Nsra6iu/7ICVJGmGtQCkFQmLYyZNFa0VQLuPZhBE/R1iBkop6UGJ1eZlO7wqbm+tI5ZBEXeIox5Ua4Sgc1yGJQ5QUTPsOo75LO1dkWY7juMRZiESiHAdpBbdWVwn7EVK6xXeSkERRTJZmCKEp+X4RGGRz1ja2GR2fRhjzA8mN3ypjY7XLejPh6IGjHFQuFWl57eKrHJya4ertlBOnfpTHHjrFmYurOKKO789y7EceRY/u59zllzlx5Cc5+/rnWXPKPPyen+TKlW+S5T6uECyfa6NHDI1GTL9r2VhNOLFnljvPb3LPh+d58fw1RufqjE3MIl3D8WP72B67zeqrMftPVhg3szx6dIzFZxJE0yWoa7obXfxJlzzUKC/Api1e/MMFNhoJbmkE2wsxWpLYjE988N2cOnEPz515FYug0+uT5hlaKEoVj5FqidW1VbbbHXzXpeQ6KMcjDRPcqqKxvML9D86hymWyxCe1GbqiuHJlgXrgcXB+nG8+fZ6N1TYH75knibpEsaW7vcHJB+7lxZdv8ff+3kfZaDb49hNP8PU/PoerFZHNMORYK+n3+pio8D6GsU8lcHjk8f0odYhbZ67yiZ+r8Yf/Z5s8cchVRo7C2hiUTxh2kMLFmjpeJSQfB5FJMisIapNUhWBzexWpLN3O2z+pKgxDer0eWilsYHAcBz1I+BtW53ieV8jVxOC6AqR5RqVSwVGaRtik1++zd+9eyp43UPMkzE9P841rn2N7dQ1PWm6trSAzgdIOcZxx74l76bR6dPp9pudmibshSb8IlIjiEN/XOL4kTPscPXyYLElYubNGZkI8t87U9DTXlza4dPEcD596B3/nf/in3Ol08XyNozTD1a3Witxm2Mwi5WBNCERRgusWijEpJXk+UFApie8FRFGMtYYsyUkSS6AlJi82hu1AW1WEzRVx/67nIKQo6j8o0gWDwCMME9qdNmEvxvd9NrbWUL7F5IZSENDrt4n7MVmWkBtLbAWVoEKSJGjfIYyTwTVUEPVDgkoJqSUb25vIMY0SKdr1aHe3yTNDZiPSLKUXhZTCPqWgjOM4b8b0+jON75/+V2jfdjxMQzBhhwyPtSixG3RgxTBpb/AB7TA7Q6YIBl/BA4mRxAiLM3w8spgsdvexQoiBLI9BNLnYLSS2dvd3GKYNDpP+hl/3dicaXhZtVRQK0eIt5QyYq53bxY4e3g7B4zDTnEHcrth5F4NzY3G0HHjHTIH+rSTNoZ9lxfOqHcqMooS4AIkGW1xEKdgpTAG+JGAGcepDn5m1Zic8w9UFGCt7kvXb13n6a7/NvkP7aDU2OP2un+bMt77G4QdPsnzrCl/8Z/+EWlBhZeMM1eY81co05XqNm1efI4kFlxZfgU+c/oEn05s5hBAo5eMHEY7eQ5b1UUqgtUOpVKG99Bpf+3zGx3/2x3HFbtHzbi9YgZcvnrvNi09/kzTtAzlKKLI8LxaCSg+krIYsKxjNLMsQUmGNQbsKgcZAYbxXEiVzSp5mvFwj2+zQaoZEvYjS2BRupcbsgTnCVoO17SZaa1ztoLWmH0eUdEC17JOmhmqphJ2cwPcDFq/fIIpitKOZnZxidHSE23eWcD2Xfi+k1+vz4kuvDhaj2WBeDsz31pKbHBvGfP2b3+GRh97Bu975EDdv3eLgwXs4uL/8Q+nfX+Coz80CilJtBDBUhWB8bg4lBdoNirAbhiEnhjxPUELt9PsJMez5U+RZSp5lZAJmJkc5cnQ/84cOENQqOE5QyOm0y9jcHiwKVZ7CIsmjFmFzk0pQIw8FprmNODSBrfuI5S6iUkK8432oRzPydpM0i7jw1a+w8dr3OHRsFuu6FAFFAkTxd2AN5DbD0arYEc0MV67e4jd+4x/S63YLqQ2CsN8nKJUHlRDF5lCz3SQ3OQcPHWV7Y4M8N2RpBDYnTRMQYHKDoxVKO9TrI9y3b5IPHhmntd0kjROuvH6DWm2U27c2wCq2lu6gVLE51eo02bfvAJ1Wm+pIjX5q2Ts9Q9pep+ZKllabxGGXNEsLllkUnVXW0WgBt28tMzZzkE6rQzSVFQmKTrED57i6WMwoyVjVx/NLlEfG70rKffuO+bFpxssd8rDHP7r2ByTWIehYPv+t7/CT/8nP8aEPn6afbLFwrY81dR7wY373md+jUTnLresdNjardE3Ir/3qj5LqBS5eusPj73kv9z+8hxPH38lvfebTLN26Q6Md0dt0uC4VZn6a3somparH+HTM1z57Dj3iUdmzzY11y/SxSaKWZNsx/B/PPUXdHkSUu0i1hTvuMXd0L+u3l8m2W6SdjEYcoQMXk4AnNb1mi2rV49BIidcuLPCVLz/B9YXbiCzD2hyvEqDLFRwV8cxzr+A6DmO1EvumqviewhOapaUO/liZvfUxOstb7H9wis3mBp3qFM2thKQWsa82isLl8nqPI5s3kWoa12lw+3rA0ZPTPPbYg1y7dYdGI6fZ2iZKQsKeRaIIShlTB+tcPxtiSg6u52CTnIiUZ758mTi+CMbyxU83IHColKHXSKnUBJ2mj6c0KqsQdyKsgSwQOGoMUZ6C1jZxb4NOtUycKh5+14/wyrPn3uyp9gOPIAhot1t4nkd3kFw3MTExsI5I4iRBSEmaJMWGYVKog6Iwplx2kcpSr5Y4OL8Px7OUNPQihSMlv/0PfolDM6PcbEdEyR3yyJBKl9l6DWSKlZpW2KMbG9w4ZWtzEwJNN44xvTLVSo3MxDjW4/LrV5DKo+w7jJRnWFhc4NQ7T7JvbposTWlutPlbv/gx/tHvP4XMJcq3KFskOiMM3U6PfmjQSuG6kiTMSFNLEkeUKh5SCrIsp92O8X2POGphRIwaRMvrQJHLHJUphMrIcoV2JNZmdEMD0lLxNFJYyp5Lu9lGpilZY4ut2+ucPHEPzZ5kZaPJkZEK514/Sy+OmJvaz+TBfbz2+hliEqQI8DQ0Oz2kVvRbOfN7DtIKO1hAuxohHKr1GnmastFssn/fftIEelGCoxyyTDJSnyC0MY32Gr2+T5xGb/ZUe8PxfUHVsP/obp9SoYYrwhJ26R27A5rkAGrkQwDE4KtzsCgYgqxdYLLrbRq82ODnEL/sMmB31ykN09WGQA2GYROm+KIf3CaHLNagvFdYgdzxV+0GRwg7BFEWBh0uBVCzg5e1O+/VDuR+A4yPhSLGfHDgVghENnh9ZcmtRaTD3QWLsnY3TdEOkwEH8kBZSAeFKDq3EEUKS4ZASRchikSUtL+J69dI2lu89sJTlIIKt19/gdz43Lj4DHG0yaXvPcmh+/Yj0zHWNpaJuj4Z61SqM6xfX+CbvU8T910ePPK+P9useQuONI3AQMkLSFQKiSBNUvIsIYwyxsdm6G/f5PmXLnPy1HHqCoYTsdmIeeIrT9DcXibqdZFKksQhuRl0f6minyFOUsIwpFKtFPH05Ejl4TgFkCpVqmByojgudu1tTn9pmUhqyofv4fLZZ1lf3yK3ikgYhFaEeUhldIzq2ARa6iJaNC+0zitra4yM1IbZGNRrI0RJTL1WZ3rao9Vuc2vpDvv27mVsfBST59y6s0SpXML3PZqdzqBnYsiICowpWFiTG1bXNvjS177Fh94XMjMzTZJmfOupm/zY+w/+EFj9BQ03mAABObt1DJ5J2WGginuKXUihUUJjB6EMO9dQig2VNEmx1nLf8fs5fvydpCIgSzNyYUgzQxYVfj8x2BzLmwvYrNj5VkLRr2lspYqYr2OFIEtT9J5Jsiwh217m+uIiz3zzm2xvblDxHHpRynOf+SyO56DVIHVSUqT12WJTIs1yHFdjhcfXnjrDdmOr8AVoQZwkWJsQhQLX9dCOhzU5Wvu0Oy2uXb/Cgb0HieKYsN9BaY8kTQa7SkWhRuBorBBMlFweefe9dFbvsN4TlGtVxiTImyvoLGJ2Zoowy2n1Wuwt7aXTbIB2iHt9toRlvexTFw4rYfF3nqY5ickKb5cx5GmRwialT1Cq4GtBEmXkaYLnBZRKo0gJUT8kTRKUEOQ2J88ytFtC/iWQ/9VOv8Js/jOEy9f466d/i9/+v36drUrAofdOstJ/ns56h6evdDly6EEeP3wvaSdheeFFQnOBPQce4vbmTQ4euY8v/tvv0sy7TPkPU5vq48jn+Qef/h5x1iKraz7w4DFeem2b1eY6o3UHd+oh6uvn2b4W8rkv/D7fPf8Mv/3pf8Hc0SZ1E9I87/CeD7iULv48v7f0L1DdDOskjO6ZwTEWczMmDg31E5N0X1/DNCJm5zSP/sRPs3z1Mu9737tZ3t7gyuUVXr90HZtaPF8jdZU0zMmdLjduruFVKiRhn6npURzPodvpUq2VGZ8bJ+ltsnXnFhPzh1jbtty8vEhrbYX6+AQjFY9mc5sDB2e5vLjG0o0+xm6itctWd5FWrDj5rvdx77F5bl27gZUBUUeR5yFCuqyv5bQ6HUbH6ziTAlt26G+nVFSFRqOHMAodJAROFRE4mAyCekbcjnjPQ/fQDrv0GyFxEoLrk3Q80rzFVKVGO4zwpITcw1Vtbt66gu+//eX/EyM19s5MkSQJQii63R5Zmu748jOT0+12GanXiw1tIfA8j2otxfU0eWooBQ7ayfE9ELnE9VK+8aXPUQlyenFIuVIijFNwfJrb61y/eoEjR46yutll6c4yk+NT9Np9vPIEB4/5zM7PUQvKnH/tNQ7vm8Ev+0zMztJuh9RKJbrdJjMzM5w9/zpa+8xNjzOzZ4zFO4tcW3iJuX0n8aUiEwnGFnaCSrWM4xWhPcZAmuQkcY7jKnrdBKUK6Z8feDTaXaS1+I5L1a3QuLPA2MgY/TBhceEpNrYsj3/8k+TKRUgHlabUKoo718/y6gvf4Y8++9tsbnTIrSJN+wjtkPQtMwdGOHLiFCfe80nuGRFsLa8xKWs0e3mxiW0tvbyJLs0grcIaS7laZ3nlGko5lOpVHFUiitusbi4VmQxWIleg142YHJui6lfIbUZqM7I0ZitdI067bGy+9ZMq3yBSvajstQMUIQbZ55pC+mcRu6BlGCpxFxM0HFLKHeZKCoGVw1jpgbwQuwumGPqE2AVyg6Eo/FewC6buBlXDlqlhqIQcSgoZeq0GIIq7HrODrgagbAAWFTuREzuAbygfHIZoyLsfzO5xirv+QyBw5K70UElZJB3agrq1xqAV6MF5VAXy2jkwMwjb8LRCSEjCFka4/MFn/gtOPPhxHCG4ePEb5PEdEJI0bTC59wGuL7xKq7dF/nqGSks4tsbazWX27Ksgk5DR0f3oTHPx6jfo9paBv/n9psJbfnTaXfxSBa0k9VLAdhIRhg1EnpOYhFLg4GmH1Vdf4sbEBA8emCDqG5584jlWly+xvb5FnsZ4JR+bGFrtNnEco5WkUqnSSzu4nke1XMLkksRYlKNxxMAvB4TdojcqTVO0godOPsILt1a4duMKF15+lShJSC1IDCrNiZKEiy+fZfbAPsam5ihXKlhrKZUCTJbjOA7NVhuspVwus7K6hrWG+X37SLOMKIw4ML8fz3WZGBklzlO2G1ucu/Aa73/sXfzBH34ZY4oOIDnoVgMGyZwGR2msMTx35iwP3neUO7dXcKTPj73/b3LXjsUPx5/jsMJgxK4XVNiiV2zY1ycY+CeLe7Hkg89tWPo8yKIUAtcvYUxOlDlFxw0NihydQt6inOE1q5ifnu9jTI6UGgTFXM1ASFUEROSGZmubjY1tFJatjW2U5xEEJTJrcbyCjY/jEEc7BGWXfi/DdxXVap1KEKCUS2QcvvTtZ+h1u0VFhqMQyiNNM4QqGPd2q4Hr+dRGxuiHMRhDr9NlZW2Jmek5Zmb2sHhjcWCeLoJ5MmvpxCkTjuL6dpfS6CSlao345haLmyGNVkyn0UJVKiAK35pWPv7IBLEUSKlIkz6ZFcQ5BIHH6sY2nSjBCLBZwb4ZC0makWc5ylHcWlpldv8Rrpw/w8TcMaRyKNcmkFpz8bWrvCMYJ8+g3Y2YGy/h+i5SvvVlKm80VKPCxSvf4dLrY9iH/xfCIyGyvYLu54zV6/zO7z7LO06Ncfq+D7KVdrAz/xtnv5hy4NgEYuwmJx54lNXlO9w41+HEw0dZuHaDfQdrPHfNcmdhgdJ4wEh1hLOXbzA+UqYVASNT7D0ySccbY9z3+J0v/s9sb7QpB1261+DxU6e5fKCL747xNM9ysjTNxtFNlm979BOXqNuCyRqPPHY/F548z8mT9zM2vp8R1ef0kVl+/F0ncAOPF597hpHJEYS1pGSYKKNcKeN6Lo7O6LQ6jNcnaWR3mBhx8ETIcqfD6OQIvlasdCtU6wHNZsT+42PMH3uE5eVrHN8zy+2FRUp+xkjFJbOKzTihv7AJQlOqNnnimauce+EVfuT9J9loJlR6l1DaIlKFdQTlEQ+jIUxCsjUf3wuJO31Kh0rU6yVE12FzpY1rUjrX++QmpzwdUKprXr18mUq1RDfL8YOAankEmfdAuWTdJlHUJdOWdHOJwC8Rtdt0w+zNnmo/8HC0xuQGbFGF4HluwXhnWeGdGlhIOt0uvX4PqQqGfXxkFGMMgiK0Kc8sSWzRSuHJhN7GNbKwTO5aPCkxbsD5hcuIXPDA/Q8g8qToZioHNJtNKtURbq2tcufWGvfccwDfh5Gqy8ryHez0NJtbm5SrNaQwaE/S76aM18dJcpfVxjbCWm4vbPF3f+VX+P0vP0U3LSG0wdEuNs/xPAffgzwzuK5LnCQolQOi8JxmGSYvel3r1RI+Ebp/m6vf+TLG9Li4tkLJqbHa6LK60UJXJO/+0E8Rt3vI8Ar//Hc/ywtP/CGOUwZcxibHiMKYkl/FWEFuoLPe5ezSGc488Qz3HJwj8BxebP0eD3/orxKICt2xMWwa02luMT46jhKwb2KW6XtP0mw22ey0ub20QOBXmBw5QKvbwtUaY2PibJNbS11OHLmPJClkhofn76Vaq/PalVew9q0/V78/UzVQsQ8ZqyEikWIYKT2INb/L0zRciA09S8OEPiGKBD2xA2aGgIcdneXdIKpgldiVHzKUGtpdvfpAHifYXZAUjM9uxHpxOGbn+WHIltldYGYH4r+7vVmDn1aw491Sw3riu96jGZrGBmYcOQSWYriYkTusWhFykCMEVBwxKO+VuE5RqpnlxQXB1Q5KCxytSfIEkwF5zr/+g/+HvfcOsjQ7z/t+55wv3nz7du6Z7sk7s2l2F5uQFgsCICDAJGGTEkuiGQxWybLlEm3ZKlnFslQyKUosU5bKJs2SYJUgyyRFAgJAETkssIuwOczMTs6dw83py+f4j+/2LExXCS4D4gI03j9mpmqm7/16+tx7v/d9n+f3/F2G3dsUSysIDJcvPMO4s0GxYCFKBxkN9mjv9bj06tMM+10sZWMRs3L4BLeuX2J6foaMBK9oEUU9OsEWjfosj73t0f83Z+UHuvq9DYYjD78whak2KJQbBLFAJ31Er8uw10TZPsJKuf7MV0m27uXCay8yHHSJ4xCBRqPZ2tphFCa0Ox1OHD2I6zrUajXCKMtVp8rG2j+YGJJUkyQpylIMR2Oy1JCkKQj43Oc/w/rNWwSDIUmWUXBdhsGYJA4ZpwbXsohMhhSKRrVIkGjUhBoYRCGjUUCtViGOYza2tzCZoV6r8drZ16nVKizMzxGEIZ1en7iYEoURi/NL1Cs1HNdmYWaa3VYn995o/aeGFBOwhsibrOMn7+fhh+4hDjL2hak/qu9/GVUGY0h0PlDBGIxxc5+TnhiH9RvbqChNGIxDdLLKaDhAJwFSZwgdY4kME4cE7bOYOMBWDspS6Cwli1J+4xNf5VRJ8WP338WgNyIMAjJjiJIkFxxLg+taZCYl07k2P44TRnFEsz/g8maXj/zCT3MmzXCTEX/lF34RZUm+9tQ3EBjqswc49+rLdJu7hIMR4TAEJblwa4fr128ShCNsZVMuVUmNIQqDHLCDybe7WYJnW4TDASgn9491YDweY9kOvW4bM9nagsaWNiibVrtDvLDAZmvMsZMnmIolN1trOF6RYRTAeIwq1ighGfZa9Fq7VBvTRHGMjgJGwxFrO22Wj9QZ93uMooRhGL8xyzIaTEqWZHTabQ6vzBMNh/i+CyJjevEg4swVpBT5Z4KQxOGQb3zrJj9/4gEsIfNQzR/yeuqpIoMdw5GHD3B7L+Lxux/gDz51jpn5kK9/cw1pFK2dlC997VO86z8RhHGX+vIR+p2Au5Z+iZ9737sRWcg3zn6RoGc4OHsdWbhO/1aD6cPHGHSbrG83mS05NMcufmGaD/+Fv8Qnn/oU6bBLpruM0osMbwka/hQUHL710g0efbjGt199mfVbAbpY48HyHNtijYqJENUqo0LGS194MfcKxhn9vQ4f/MsfYK5eoFCpcunSVZo7u9TLfYrFEnG3i+24ZEhs28avVBjtDBhlEdKSVAsWhZJPpZKxvtqiWveYX1jgwKm3sLAwjUDwyst9vvXSLW7fWOPAco2TixX2Wk1c22UvMKThENeDqBVBrUF1YZ5Bd4AQFk+/uo1nIDQuxRmbVIAZZxRnFcNRQhKCGSToUY/ehZTph10ahQZp5CB62yhjGLQjQFOaLTCMY0CiU8N42CeIB9i+opopGksN1m9tooou4yAiyxRSZG/2UfueazQOieOEKI7QOqNaqZJpQ5wkKMuaQL0Uw+EAy7YJo4hSschoFJKmDgW/wDhOclKgJdAi4IUv/SE3Lp5jFA6p1JdxqyX21ndxU80wEfR6Ax5/6CRf+/rzZK7HPQ89xOrtDRYX53no3lPs7myxejOkXCxw8OjCZLPk43oehVKJ7c0WcTKkWHTo9RIio2h3QuqHZtlsh5x97UWWjz2CpWxgiGVJBBKpJumiIsH3wPNcwjAlClOkMDiuRZzGVAsO0a0XuXzpq2xeb9NNE1YOrvDSy2dwHJ/euMVTH//fefvb3snH/8Xf5eaZ8/THfWx3hlarRaM6RyZilLTRScz09AxXb1wnsySyFHGwtMCNtQ2qszP4xuPrX/g0Rb/G8soiT/zib5Bh41eKuFIQ9EM8LKaLBaJkRBztgc5o7d1ienYOYWy6nYRG/SD1Ro2NrVWiOGQ0GHP63rdg2T6N+hy9XvPNPmrftb4LqIJJU3Mnapf9tkNOgpW0yaenUkoykxt09/91/hj7wAjeaK7IlzFSyklDs//35s6/xYgJLOKNHZBGI8UkUWryRWJ/SSTeuMo3GqZ9+eDkT0JMqH/7gIn95kiSMUG0y8l3OgFmqH2pzuTa9f60WL5xgyol6ExMms1JQ7UvbpxYwO40Wzql4ChKjgQylFSUii43bl9idvYoibYxOgOtGY5adNo7xEHK9NwSnZ01SuUK6TjCthSel+HWS8RhAZ1FVMsNxuUu23tX8xcCkmp5jmiU4PrQWt9m7uBRSl6FxtQs41GV1y++DNEPfqDadyszjoizMeloTBSFuK5HhoWRTj6Vj8ekcYjl10jGDtcuvMp42EEphRCKVrdDEMXEccz2dotKtYhnW1iWQxCk2JaNUPlmIU7iPJeH/GdoSYs0yadkUuZbgjBO6XUHkGqWDy1x+MASz33zBbIsIdGKpYMNSiWfOMrYa7YpTk1R8At5WHOS5psGJWi12tRqVaZqdcIgB1PMz8+ipGIwGpOmCa5t49g2nuMwDsakaQpScOTwCnut7v9jYCGlxBJyksiu8ApFfuVv/3fM1t08eX3fO/ij+r5Xp7lDGAWkSYKcSIwteyJXznGj6DQhCAMMhpdefomNi69RKhQouRbVaiWfQtaqWErgWArfctCWRzQcYSsXSypSKdBRgrFCCq6L9tPc6KwNlk7yt0ylsBxFnIZkmUA4KTKOcaUkUR72do+P/dEX6HZb/Nbf/9sESYqODHeduhuTal559TXa25vYSmG7LlJZBEnCxk6TMBqjowQKLkoKjM4zVHQWIqWVZw5KRZImuJ5Hv9tCoDDCEEYjsvEo/yxRJp+8SkFmwKQxibIZjkfstYcsiiLVWp0svEE3EJRKZRzPozeMySRYSlJwrPy1meWZgbaAoufkMm5pIW2BilOSNMs/tYTEkGcmer5Pt9VnfukYB5YauK6FMTqPwRASnYUYk+SRIMqCzJCaPx8DiQdPSbrz7+CD7343a6uvUy6nHDl2jXHi8Mjb3wvRTZLBOotP9NjbLqPs96Gs69iewXY0f/zVf8el21ssLwT4tyu8OFzFj1Ia03McOjLNzfUxyWYEahrPcickttsMt1qkDJgXMxQObDJsRjSqh1k9e5uyV+LG1S2SwCJKJTIRbDZbZMRo38rPjilRmluiICIOrCyxtHQXD77lNMPd27TabdbXNqgUBcNhgOPk0iPbshGWjVep4RRctOiglZNnpaWSbJxRchwQhjhKmWrUSOMxcZywtHSAw8daFMsVbu5skklB3dIkRmCXfCDAcgtYQtFKhjw6XWTjZpv7Dhdpb7RotQZorUkwZMJDpibfyg4TjFRY0sUu+HT3MrRrMV4tkakB9VMlBrc9xnt97JKP9saYKKU8N03Q7eD5ZeJhjywC2xfEuAx3mkgr92/LzEULjZY//AMAk+WD9TBLUOQy5HEYEMUxhUIBWyp0llGtVLBtG9t2cByLIAoJRglpMsBoKJRspLKQtqZclEhPsjK3wmgYIKTPzNIcuxyfMmMAACAASURBVHtt0sGYWr1CuzciCkJOnriLbr9PuV5jPOqzun6LLM4Q0iZOUoyRWAKEJwnHI3bCEbbroLVFNEpZXGjw6rnLNGo1rlwc8J53PEhne5Pj9zuIKLcKKHeiYsLCiASJwZEgvBjbcfFckwN1MoN2bOzEsLtzka21FsY1FHxBt9MFR3Dp6i2ae+vcd99Rzr/yLW5duYJXnmKvN2S67hKlLsZKicYpvm+x1ewgpKBadZCRxVgHjPodFubqVBo2V87vsHz4EJ49pCiGxBsvcfi+96M9FyETHFlk/bXfR8mY2eM/zr0nHwWrTNGC6eoMQkAqwLUUg2BMMBwTxw6kgmZvl+Goj1I2iB/8e9XvAqqQCKMxkw1THnw7CV40uTRwn4gEBkuoO34r86dQ7JA3L1KYN6RFxmAkueAl1/uxTwaUk6bFTHxaf5rul8vvJqAB8Yb8T9yBPHznNycmMIKcLnhHujdpxrI7jy3vfI2ZGLENYE+8Vfu4d6MnskW5TzjIvVNyP1NLCISegDNk/v8kTf71rmXhKIVR+UUqx+bC6y+wtnaROA6wpE+pVCQchdxcPU8UJrR2z/POJ/4iJ46epttrsdtdY3X1HHPT8/R6LbI0Y3HmBJWpeS61zzJ3ADZ2Wzzw0OM8+a4PcP3SNRYWDnL0ng4FvcijjzzGl7/xSc6cfZ577n6EtfXu/+cD9INSqlqn6Lok4z6D9iY74wjHK+JXanjFOdrrt3GLFeqeRxQadFahUKqg4wjjS6anpnA9l1G/x+GVZcgSUB6WUmid5hvJVGBZCsf2CIMxWKARBEFEmuWvhSRNGI8CHJHwV375F7jwzHO8+vxzPHtrlcNHD/Hhhx8gkw7Pf/NZ1vdabO0NaczWabe7WDN23vAoizhJCMMIgWB9bQPXdbFtm3a7g7Lyc+a5PlLmPqlur0+v22NubpbxOMBxHO6/5xRnz19iFAR3PDl3vI9KUSi41GcO8Bu/+8+Zm7Jzr4364aeW/SBXMOhjjEZnac5uMpo0lhNAgsFk0O53sHSAa1nM1woMajVOPvQ2irMH8VW+4dLZEMZDktEAQwYmw60XiOME13KI9IhKtUFnvM32oM9oGBFGAaHOm5QsjcnImwOpBDrLiNOE1qBPpi38coUsiql6ksNHF/nGN57hgcffzqHlI/hzFbTWrH36U2y1e3zoLzzJ0ZPHeP7FC2xcuMLt9VXCcZgP3NKYcZp7uzIDmZEoAVqnSKDb3ENYdi5uVJI0y7dYfsGnn2W51t6VmEyTpAmW5aC1Ydzv8InPPsNIlDl9dIZKSbJ7ZZUDy4fotNtIFZMFIx58+K24tsX1G9chE9Sq06RRwCgIeOnGCGNZZEF4Z/CwPyyUUiGtPHhzGMYMB0NiPMbjlFQPGA37XL95G7c6S6c7Zroxw9xsg7XbN4mTkFfPXeADc/Nv9nH7nqoXHeGXf+anqVbm2GruMXY+w1/7y3+VP3zqX7NY0Dx0719io9mneuAPeO3SeXq7J1msnuLIwZiff98v8MfPfhl/qs7GjW+xNdwjaw1QiyfZUx28JKDfa1OozlCr1mi1riOSOT7ywY/w0tUdfvJtD7B5bYOnb3+K/g3J9kKL8vEam+sdgrDExm6P2XoJu1RkfsElaRRpBAsUhOFGq8fmxRvc8+iD/OLP/RQrK0dRyiLuKAbdTeoFyaVrPQoln2rBZz1tIuKUqWqdJI3pt8dAjC9LhDoj0ymtUczeMKXquFieQ7c74N67H8ezHa6e+xaf+MQXWL29Q8m32Nrqkw6HVGtlSoUqUtUIwiEKwaFKjVGWsXKwhBYpzfYOiciHWJYAPUyIE4OrNIO9DLdqY7kCu+YRtAcIIeisdsiAaEtw93tPcX31Gv3rXRxRIk4y/LCPlJpRt0kchkSBxnE0A90hTmOElshYEyUx5WKB8rT/Zh+177lanTax1hgBBd8jjBPQUPILd5RN5XIZy8rBDEoqDCm+9DA6o14vUCwUMCJBZwKRKa6/+nnmyh6BiXE9n+deuky17jJTm8IR0Nlbp6ASpqbLjMcRpakKreYewSAiTfKRq2MSsjBic2uTqapPmibMNuooCcVCkZ6A4Sjimade4MR9JxmN+5y4e5k46vMHv/fP+eBPfAjZmEZoTas/Qiob20nxvLxJs5AkWYJE41gKiLEcCcqivXaJ3Z1dhuMhVy43cb0a73jXEs1umbW1l5mfnufS+Q0uX/xV4jTG8WdR0iKJYXFxhZ3tFlkWMeq0OLy4wHg8Jhr4ZI5mtjFDp7VLwa2QBYrTD5xia7fDoCdw/IivfPx3UZ/5KEuHHscpg5MNyQZtlg4sMCxvs3T0Htp7fWarZbQxSOlRVJo0jqk5Rby5XCVkuz79cZ8LV88jlcboH3L5H1LnIbf7hOjJob3TlIiczGeMntiKJuS6O/1K3iBlk6bJmHwYa4wAkQMhJQJxp/s0k+m/mGx78o1T7pTKe6fUTHDnIvdpWUC2v4Wa0PHkd0zZxX7jdadFEneuPV936Ym/6w1ZIPsZVjL/PW+McqOgRKCVuUOzyl+v+XNrI/fBhBglEFnecWmZI7gdZeEqiRQjxt09ouEWjz78BM/ceJFBt8P5ziqOW6XZ2mRn+yr33PdORu0mh1aOosfrvPDcJ7FswahnOLR8itXr1/ELPuVakQcff4RrFzaYnT7AqNemVK8zvbzCs998jTPnP88H3/8R5maXCVopn//C75GScPru91GqV1iYW/g+Hac3r0QSYESK73tkWYpl22RRRjbqYM2uUJqqEQ5HROMdpIYxNarTS4RRRLVWRxlDr98nTDOWpjwGgZzQcwLQGY7jkyaaNDOE4QCAbifAmAQlFXGWy1KjMObIkYMsTs/zO7/2D0i0ZhwmGCnZe/0qX33uDKN4giIwkqnpCl6xjOe6hFGIkBJjgevY2JbFOAio1qp4E6qR63mEYYhXLjMajhgHub9FG02pVCKKIjzfxbZsdvd2OXZ4mdfOXwLDRAIIlrQplUv8D//wf+XH332aesWeQGF+VP+hy3csUjI8Y6G1IQiGaAOOk3/4v3LxFaoWHDp+LymG7vU1zly8iU4N7dGYoL1HszdgqlIhMAkOkiDNJrCF3AeURCFaSYQ3x5nVHW7stnjgrqPsdIZ0O607wBxp5OR9Ogfk7G/Us1RjdWNiIeiMQcuAA0nG7cvnKRfKLK0cJQwCVJqw3R5z4dw5Xr25xcHGFDdWN4ijLAcDGUMcRTmNSylsy8pjIaRE6uzOkC5NEpTlkgZDhOOhs5yq6Xk+cRzi+yWM0YhgjLQUjoKN9oCdV8/TGgRM//LP8vLZaxTK80jXZxSltJp71CsVSAKWp+dxjt/F2toq11dvMNuYQ0lDc3ebIIpQGDKj8xstIfA8F4mgVq5y7PBhrCyj4FtM1Q5htCYcdHj4wXup+pLGA29BKkkYBgy7XTo7GxxdWaLm/fBvqw4fu8wzmx+hMTzBOLXZOHuUz44+yl63R1Q6wHsKCYV5wx9/6zA/8Y6/xWb9VcaR4akzX+Rg8dOsXW+yvXqe1zfPkOwc4N4nH2N7kj22e7tDwXEoOA6i4HCcI1Trgr//T/8eo/41/uhPzvIPf+U3ufWJK6x80GGUvM78UsjovCbdczm1UKdx7xS3LmmIfTzdYLvTIwklbtiltFThv/lr/wWOnTAKBhT8Kba22vS3rjBdneb46QdQJuX6+pAMQZrGRKnEsWA4GJBp0DLFkopgFLE4P4VlDWj1RiwvHqdWkexuXKfXG/PHn/gczf4ApRSDyOC5AteziLXHXNnHsn1GlsGyPPyCQoYDuv0eL3yzzVbfx7ZsUiMolCWyYJO1ExINStgwTjGuYrgRoRyDUBbGL1KplRGWYfv5HYadEdOnpti90sYvO8QDQRQoPD/C2IJknKsxojAkS20cyyAtw9S8S9CJaN+O3uyj9j3XzHyDJDFEUTwJC5cIlYO9LMvCUhKlBLatcjWGlatKRAa1WoFK2UKpCC0ykkQw6rcwxuXcxS3ueegEG6vbNKY8Go0Znvv683iu4a2PPEgSRVTrUziuxe1rawTjMZ6vmJ6usLG2Q7Hqo+OE7fU9lG5QLhU589olFhbmKBXGWI5LFI+5//TdjNIBxaJifaOL51awCPn9f/YP+Ou/+lsIIfDKRdIkRaKwLIMyIIzGFgqtDdrKI3byiBdBf2+LOAvZa6YsrszQbG7xmc9/g85eh8cev5+zr7zO7GyDbrPH/feepDcaYkkP0hhpYuIwYKYxxeaO4eyVTaIoQFgeQRQx3y0jLcl0PSQKBrTDPgeXDrC92WKnNWKuWobYcOvGN9ndjdnb2OMdjx2iPepzj/VZ0uYZ5u7+EANjUzAjgjimHUaUS0XCQQfX9VCuh20JSl6BowdPsNXcoXJs6s0+at+1/v2eKpP7oHJYxaRZ2YcuwBsIc7MfbCvIhMmnkuyTAMEi39qIyfbSiNwvYO37kYREmBxvLsjpVOhJIO4+QGLiM7CU+E4QH2LytYL8ed8AYkx6pgnpzyBQCrSefL18Y5MmERM5Xx7eavJLyq/RkigEiQ4wWcpec43F5bvJUkWSTRrKfXGkyAl/coKKN+QGSpeAmZJCp3082/DFP/l9bGFhBPzJp/8ZK4ePEcQdHFPGdyW+MNRLVfo7m9x1/DR/8Inf4T1PfhiFxXR1gemag1eoUa/2OHrXUd79Yz/Dpz/1r9jb2WQYdXng4YfY2xqTZRa3bl7g4KF7qbgzHJo9zPNXnqE/iPjA+36K3//0b/Nzb/+vePG557/vB+vPunSWoRNDLASWX0XYKaKgAZs47ILt0ezuEgQByrKpzJUxWcqttS3kxhaW7dColzk4PYXRhnLZYTQYk2UaadnESU4PiqMxOstIsxQjciz0MApwXI84y30Z16/f5MUXXiSwHcZhCq6FY0mMZWNFCSYaE8U5hGB3r8coiTkwv0SjUSe1UnSmCcIArQ0Fv0C302U8HmEQTNXrDIdDmntNSqUi5UqZTruHZUmsgsVwOJpkORgc2+Pg0iI3VtfoD0YYY7CUTalU4rd+51/wgXffnQ9G2H+x/Kj+Q1ecjLGkhWU72L6bQ0l03pBrk/LOx96BsgRJoml3djl0cIm7ji7S2dvk9nYfz7E4eeQQnmfx7CuXcR3Bw6dPYUw+6NFpQpJIwjTi4saQeqnAyUOL6EwzVbI5OHs4v+GQCpPGGEuQRhkmTUkyzepem43tLd711kfYbu6xPF3GLRYZDAdYjqTX3KMxu0gURsRZCkrz6GMP8+mvvsgn/ujfMRonxFE4MYdPgESZJooTLNvO82HiCOW4oDOk42HiENu20bpInEQ4QhJFCY7jopRNnMRUq1NoA2kcEmlJOB5QLJd58fWrfOZLz3H20gYrh10sL0NoQ6fXprm3Q3d3lW8PA1I0kZaUimXi4YD+uIcVdFiuumz1NeMoIjXg+wV8t4DWMcePLKCTEa3mFmef/RrVxjRF38EShiwac6u5RpKk+cDNsbEshyyJUZFkvd+Gd7z3zT5u31Ntr0peuZqisyZzxTqPPjSmoA9RqyrOnr/AJ5/22Os8w6GjJ/jyc3+TX/qpf8OXn/80p++5l4EoUakFKOsh1uMzzB49wsHZEudeu0waRJQthyff/2G+8pl/S0NnhCLlygVDv3OVw6cVw/4R/tFHf50Tx+awp3aZ9R/kK998heUTI9ZGdzN1eJE4aFKYGnL8+IOsvvBF3vvuFV471+PitxP+8X//37J65TWG/T7KrXPX6YeYO3CEa5fO4AR9PKfMoDdkoWFhWxagMFlEfziYZPR4eWNd95AqZb3ZIQhSquUyUdxD2hW+9OWnWFvtEmUJnu+QBFAtOSRa0woMd80YDh05iKVcKv4co2EPy/Io10+wMD9LN3JR125jXnoVzzFoVSaJU0yW09zcqSKjZo/hZg8sUFJRKEpqi1M0r20DhnHRobLSQIeS+qEyo7UxRgrSMCOTBRw7JpYZKIMQCqWz/H5HSZIgH2z8OVD/0ZgqE4xijF8gIwUtiOOETGssy5rI8iXaZAgJWgNaI1U+wMw/BXPIg9CKV771NYJxwuKROV5//Rqzs9O44Zhep8uxEwv0ex1sy5BqOP/aTRYWZ5mZrjPoa4QRjPpDpqaniHXEzNIc1bpP0B9iOxUOHlqm1x/g+gU6zV3e8tD9dIcRTz19nYMHDrKyMMv2zoh6ZYrt9ct866tf5F3v+48gy5tfYfKb5fw+Oie5KgviNCFLJFIqUIZOsMeN1dtoESIti2JpBuklXL26yopRnLr7OJ12m5nFadIsQ+qMhdkZNm/fwvMdHrr/KNeu3GavGTAcxxQLHr0gwpeCwAzxsxL9boilNLOLDUaDLo3ZCjdubXO+nTEI2/QHGffdtcjSiUWubXc5onyuXrjC2JzhHfRYePvfoNdLCIRhqlyjVilhz03jeQWSOCUYBUipKZaLLKhZ0uSHfFOlVL4j0kymmJMmykxcVmo/zFfmDZXGYJk3fET74blSyJza9x2yOz1pdiSQiXxbpOANL1auBrxjmd+HZWjeoO5Jme+eLGHuTFzzK5xI94SZXIfIn8/k/qf9JstgUNLCmGzymBMQxeR7sC2JsiTnX/wyjZklmps3eOGpf8mDT3yIueWHWVi5D63zzRqT7C7LlmDyhHIlHTzb8OrT/4arRrGxdYnl+SPUSg2OHl3k2eee4Z5j97OxvsHa9mWU7bG0eICN2+uEZkTRDZmbmUcZyc7WJlEYMByOOP3AY2xvbLC9s870gSk8V9HeanN77SYn7r2Lh0//ON8OvsalV87xyONvo1Iq0w22WFx6K1fOX+YtTz7I5esXOXbwPj75uY/R6awDv/Z9OlJvTjmOJBkHmNGAzCniV6qYVJGZfHJjCxiHKePYUPChZDRpHODZgkajwcxUlTjVRHGUN912bvpPs5ThoEeqbdI0N8NmZvIaMDHKmBzHHA9zKZUwoFwSI5BOgbIDBd+lVqkxVcmT2oejPq+fv8LGVofWOKJiCmTpiNHYIY5zLGqhUGA4HIIQNKYbzIgZ+v0+SikajTxVPMvyMUStXkVnmjiJ0VnGIAiwnJxiFYURT77tMT77pa9jBExVK/zj3/kY73v3SeQdpd+PGqo/q/L9MhoNJt/G7HNDMnLaYx7SrPOQaQNxHFF0PAIFdy3PIJXBcyVKCp54+C6MlHfelyWKKEuxLENZWmTkG6i5mkeaSZLEzimVcYKlMrIsIx4npGnKcBxy8cYtBJq7Dh+gE8U5bVUpoiRGBilu4NAbtDGZRuuMGIvhMOS//Dv/BJNGZCbPgZFCIqRGp7lnNNUaZam86dMG3/dRQuZSk0zjFwroTON7DhhNluVoXrTIvYvCMBj1KZbKdNsBSincYokgjFEYXjr/OlO1adY2NvBLIwZhRKFYJ7WGzNWrzHl9cBTCcnn18ioq7HJgpszy8gLN1gBbCfqxhiQGo3B9l9npBe45fIiZ2SrheICDj5WMMaQI38NxPWSa0l/fQtkSv94gjmI8zyMcdbD86pt3yL5P9fJzMaEs06hpxuoM09M/hhx+npsbu8zVTvKWY/fy+196nW8/fYaob3jnfU9TrkK36XD67nl+/X/+lyRxg71mjUPzMV//0ssop442fT70gSf54hc+SxrErK3t0ji1zMEpkKbG9rhLlgX0xUEur8Z0vjWiP7jB4SMNtl8u88F3vofnLl9mtLlLv9njWXkOD4dO8wRVd41f/69/jmMnT3DtbMQ4UUw3pnDtlP4gY2blFJ3N2zSmwJYlrAceQz59E2k5REHCRP2JlJIwGzEnEqKsiLENRUeBiZgq+bz44nV2tgYUykWidoTAxXVSXN+hXLSo1ko4/hwPnn6QTKX0N87h2z5RGBHunufi3jqZO8NsY563vv1JvvmNr2HUmMKCh1dyERVFupehPJcsTvAaPlNHG0TdmO1zm2itqR0oUFqpI8aG4XhMsKvRJZuwGXJw7jRbG2fwF2ywFYIM25KEkSbF4AiFY7tEUYj4cwCqkEJQKLmEYUTB8YjjFNsFIUUOxxECqXL6cqZTXE+BUZgsJUkiHNvGaEkqFZbWfOlz/5qZaolwNKDk+2RKsrnRzyXK4ZjjJ2a4dbuNtA0PPnI3Jsvz6wqOoNsbUp+exrIkjUqD8WiIW5iibztkcUSpUqNaLbG6tseBlRW2tnbodwfUZ2v0hkOWpg9wouGw1czfG5/70v/B5XMv8eH//FdxpEKLON+ySZEryfJfkEJhVIZREpnEuIVppirTvHz+FgvGEAV9zry8yrEThzh//go6ivE9B1VQ2MIwOz/LcDRgbnEaspSNrQ2ieERnNGSh4LMzDgkFFJEUtEZZGsuSlPwylpQUCz5GGpYP1imUGty6LjCzhkEvpqoKDEcBa1vbHDswh6UctpublC59hYUH/iKOC6WShe1axEne4FmeIokkmZZMeWUcqdjd3X2zj9p3rX9vU2Um2U5K5xNHnSfPIg13sk80ubUIJhTAO0G7+WpqnyNhC0k68VvpSWOz34gpsS/MM1jk0jxjDIYMqVQOszAT6AQSIXJphdkP5RU5bv3Olgm+k7IBk+fa37HtEwOlyB9L7DdU2iCt/Hu2lcXNm6/w8lO/h41mtzrFoLODlILVy88TjIL8OpOI+uwBbK+IEIJzz3+R1s4aBw8dZ2fzCieOPUmaGl575XNorVmaWeDVV1/i/tO/wq3bl5mbm0bLlCyQ7O7eoOzNc2j5PnZ21ml2Nri9torvlrlw8Tl6nYh7Th+nUivy9Bdf5sDCMY4fP4UxZRpTS7S7W9h2AUtUGI866LTPmbNP8dM/92u89syX+eRn/wi8lMUDR/nGM3/M+9/1M/zhxy/xrrd+6Pt+sP6sK4lBkjGMxvT3hiR7ASYN8QpFphs18CoUK1XCUQdPaKJRiOslrKwsYimLSOeAiDhOSDKNCWN2d3aJkhhlKcDFUoZBMMpNr+Rv0MNxhLQUvueTBEFOcZMpnusCkizJCMKEdvsGLzWHDAZDRlFErHP5aJjGbOxmOL6H56eUigU8z0cqhePYBGFEPJE0+L5Hq9WhVMrPmuM4BOOAKIryG+Q0plquQCJI4hitFZVyiSRLadQrRHHGv/qjT/DgvYv7a9w3+af2/79KkziXn8iJDEVIhMz9mFGY3omSQOfvi0JKdnc3ESlIN/eyBnGGkjJHsUveQAmnab5BzfLIBqU1SZoSZ7m8WigrlxraubdOZ4Ysg14YcfnaNY4tzFGfngEDlrJwjabgebk/VQmiOKPTD/jYJ7/M177+DDeuXsw3R1GMJSDVmizL8/X0RB5tDFhSYlsOtuPgWA6p0SRZClKhSdBhiLQc0jBE63hCnVVkZJg0I9IZAskIiV+qMe51sH2PNI3RqabTbFEueBw5uMhob5ugP8LWinrJ5v6DFWYWjhEP+6zu9rngKIZByKGFFY6uLLFQabGx0+JWLyO0HEoFj0fuOYZlW7SGY4q1MnFmWN/epRrmk31lO4zGAxD25HNFYbZ6KMuGrIuyDbSDN/egfR/qrW87yl50jGDc4bH7l3j5wgtEI5vrt0fcf5+mFzawKdMbGo7f5dPaiSnOvoWD5TavnLvNX/3FX2dr5/N89aU6WwODVZ+iudVCmIxPfeVpTGZTKPtgHORUm6os8Y7HfpbzN8/w4qWb0L/OgeN3k0Q1fHdIoRwT6iIvn3uR1ZvXsbWF8DS7V6/jKJ+m1+T4/AqLs0VaW2vMLUzjeDat7duMhttY0uXQkZMcWGzw7FOfp+Aptna3KZcKxFGM6zkkQYxdqKCjfLCxfKDIxvUOfq1AP+rjFm36HUOWGk4sT9EfjyiJAqMgZRQ6HF+qYKTGsSwOLk0xVx1w5fIF9tbWiHWZKJbI0grFssepe++jMnuAx975BLdubbK+dwVZksSrAaYZk2kX23EoHJyieqjI5gtrJGhSqXGlT2XeZbQzIlUeWUvyN3/l5/ntj/4eOCGbzQvYrgdJil/JbROWsJCWQKQJnlCMegMc5RAb980+at9zOVKjhUD5DkmmcT0bIVzSJMHzLCwl0CbNoxnS/D7SaI1XdCb3f1GuhtLw0refYqZWY9TtoU3MjdU+9880ePTRe3jltbNUq1UqxQUa5YQbN2/RbrsoCdFEij81NY3ruQz7PTpJxmgwoFwp4PoecRoRZwmjwYClhSlIUvr9iNSUsESM5yp6uzucudWlG/Y49hPvZTRssnf7JdrrN1g5soJSFhKNLS2YSLm1ya0sORBNoKVCCnjtzFXGgeLCtVWCXo+p2SLBeIjjKIxTIsPQqFZ4+1sf5uq1CywsTLO3tYXAorPeYhzHFIRkO0iQ0uah5RrbzTYZkrIrKThFimWXcsmnOl0mSlO6vZRR2EPYgrOvr1JrNBgFI6r1aa6u9TDZDmkoSfWIRmOB6eTtFOqLWJZFluXB9jpL0Ab8oofrO2ijcV2XaqX8Jp+0717fdfErJ82KJm9EmFDD8tVjvnV6w8OUZy/t3ygYMwn3FfkPXUwMmXnfJe9AJd4g/JmczifyP+8bDPfN9caYSYNl7pju9URiYiQwmUjsm7r2H3f/8fYR6/tBv7DfmMn8efNnQ0lAJLQ2rjLuNVk4eIpWc4tBa4M06tJqjphZvJuLL3+RxlR+gzro7mGEpLO3Sn/vNsHsMlLEDMZpvl2ThnG/TxwL2r0t1tbWSKIxBsHlKxdwLY9yscbSSoOyN0un32TeOcjczEFu37rIqbvfwq3rVxn1AtLMkCQxtuOAEtSnpyDz0AjuOvow25urKCzCOOTxB/5j3GqZ2cVDXL/+Kq3WDv32gEff+gSO7zIOO1Sqc9+Ps/Smlk4T0tgwHmf0RjE6HmK7iqpjoXVEEmqUZWF0hjaQZZClEegSGZooDsiyjCCMSbOUIEwIoyA/0anAtmHQHxGnCViSKAlw7HzLmaZ5onmaJkhl5VKqON+Mup6bo12jENv50zIynQAAIABJREFUjgsWAjKDNTnjvu8RhBGOG6GUg9IG23Hya01TELkkLE5iOp0Yy7Kp16uUyyWSNGU4GtKYahAEAdoY0jQjjuPcnAscP3KIhAr333PgOwYJP6o/61JKoSyJMQJL5c2OVBKDQAuNpSYBv1JgOTZS5KHSUmssz8HoXCGQS09jJDaZTHOfqq2IQsikQae5nDp/v81BGLHO0CYFrYl1Rmcwoj0YQ5awMF1HeB4ZgiAI8QTEwhDHuSxOCQ+VGp769jleePUCo2GPJAwwQuRSGlvlwyqlSdMJvl9rtNGg8+2TSBKSJCFLUxzXxUiJSXMfmMlyWIScDOSSJMYSLsZoHDfPbduPxJBKYDKNY7kYkZIgCccBjhJ4C4s0qn222wOW5mdYnK1QrPoU5mbxG0Oeu7TGbjuk1qgzO1tnoV7CCI1/vYewPSq1CsvLy5QKHpnOqNUbTFVXUNJC2SqP0RCKOJnBlpNQZmWTGYOlBLERuJYkzn74t78P3f+zzE8dY6O9w9mzH2W2MsMz13uMnLs5dLjE8tyAQ9OaS7ckOz2bqzc/wTsP/SPKruC1m1s8MePxrdcTPviOJ9nqubx++yo7u5/Ddn1E0SfNOtiZoHrkce45Ms/5q2fZbb7G2ngblfUoukvsbe4y32jwhWfOcDKeQhbg+toYoXzmDhxh+8bLpKFPtepwomZx6uA8lpD4xSrD8YA4idjcamP5Hsk4ZGtvj5Jt8AsFbq7f4sKlFrajCYcSqyRJlYXUhsgkoDN6wwRZKiHJEdWdKMOyFOVyRhSOqZYURddCtSRKWLiOzWiQMLIibt++zlc+s0mcpPSHIV6tyKH7foqpBZ/dzS69ThvbL3L91mVa3Q20JTE9QxiEpH2QIsQUYe70DOONDonJFT+e8dAFQSY9knSAU/R4z/vfyv/yP/0hWSXGq7qEexFOyUZhI+wEHQkCqZG2IB1DojMsDDoDYX74N1VK5NAfZdkYINN68l6r8kBcckKz1pMcSdvGsQSg8/dONFJYKDTPfvMr6DgljSO8gsvGdpOl5h5TSwtUKyVG3ZA4jpmaLWJZRRzHJQxHebMjJErmSgLPddlc26ZaqdLr9SiVyiRRSK1ewq83sGyLXruHEIL+oEW94ZGFIW6xRu+1GyyfWCGKIgajMdNlj0/8nx/l7/yPv5lLqL+TMDp5rxVMZI0iV2JNNWbRIqXf3eXxh0/w4ssBxZJPrz1ibrZGpn3a3Q6urQjCEXNzs6RRTBwleK7EdR2ubPTYGUtSEVPzLLY7IaudhJrn4NoxulxEWRZRPGY0UszOLTA3V6Q7GDI3G9LrxaRaY4xk2OmyWC8zv1QnHod4XoFRf4jvOrhunjNmJrA6ow3aaHSWq9C0MURh9H/Lrf1BrX9vU+Xc2YWDmGyr9psfOZHz2XnXdEc/byYboTyXynzH5mjfdzSh78m8yZHsywXz6eQdj9KfvukzecOl9nWBE5rffmiuJMfvigl5UBiBVExysnITVmYmL759KaPIRTNCTiKIlcF2FCKNeerT/4TO5g2yURclHHY31ykUCwybHX7yw3+dfm+LrbWXmKrXuPTixzlw7C1cfOllpK0ZdS9y+VzEzGyRKGny/Nc/zsn7nqDjNUlNwl0nT3P+0mtEacjW1jpFv0HB84jiNrNTy2zd3qS5d5XT97+Lo4ePcPb1IsvLpzh+6j5GHcPVVy9zcOUwR08+yOl7HmLUG7DbvIrjK6pTDbZub+K6Baam6/SCm3zqY79JuTDP2Ze/SnWmzOXVV/nPfulv8fyXn2Lp6AKRDr+/p+pNqOJUg62b1+gOY3BsagWXxmwDt1DCZAmDzVVc5dEzgmGq8eMhFkXiNEMbQ3/QJRiPUcpifWuHgu+hybXYaZoxGLYIowjbdRmOx3m+U5qgSbEsj/EoxLYVWZZghMK2wXYLBOMQy5JoJMJ2EWo8md4LGtNTnDi2TL1gsdMZU65UcWybNI0BG61TMJrdZisnU0orf825Do7n0uv3c0O/61EpV0izBNu2UVpjtMYvlqlUyujM8JM/+xHe857TWBOv4I/qzSltIE01UoBl2WRZRmYyjNFYtoMQCiENWaqxLZfa1DSu5zPstpGWRZIlWFKhTYrOJEJGSCDNyHOYMk0cJwih8WybVAuCLEWkgm6zQxgMkLbKUc2WxXy9hNagqSK0YTTsM12tEgiLKDNY0kMYzTDSfPbZczT3dkjTcALuUWAMliUJohihMzRv0FUtK0enp0ZjooAsc7AsO2/wwnHu/RMW0nbyDJckzM9/HJPpLP9wzTKSJEYKheu5xFGA4xZAGIqlCpaycISgN47YWtvAK/ooHXNkaZqZisvMbD2X7mpBuVrhvW9/nE8/9TUsr0ahUEFZNjPDiOXFEbdbIXGUcd8jj3P08ArFgoXl+jiTz5z8N4MQFmmWYbRGKWviwZ3coGnubCF/2Ovcpef5t1sf4/yLOziFBL+8w//29z7GaNzn8s3bjIYB5za3uefEI9x/NOb1c22+9Pnf5krQ5a6po5y5VccerPMTD/4NPv6Nz3G0MeJqWfPIww8xd+wY5778cbqxR70a8vRXv8xUrUzBeT+nG68ze+Jd/PY//V3szGLhWIMP/adHOfvtLp5uYtvHkE6ZeLzH/W/5MF5/h9P3HObwwjwq0zSbmyTrMYMAhvEAvzHDzo3LpEnEoGeRpT22b95gbnGRQrHIAVdyebhHlg5RrkSJDCMcLAcKjqBgUgqOT3M8RkhFlqS4OqBYLjBdstluJ6RJRiEThKMRfrXIeJSQyAqBVefqtXP0KbHsT3HQC/jaM5d47ulnuefuGZ54UpOaOm9929t4+tmv0r42wDFWbkQQmuWH50haAc3rLSzLQSEonCyD8onGQ/yKRxR2aQcDwrRP1owprJTJRjZSZihLou0UEwv8Qok0yD8j4tE491UNIii82Sfte69sYrRPswyl9m0mGZYUxFHIhFWNkhLpWv8Xe+8drNt1nvf91tr16+X0cu+5FbehgwRAEAQIgQ0iRYmRGKpFsizLiSMrI+UP2/J4HHsiJZNEmcRyJEWxZNmkCiXREqsAFoAEQRIk6m24vZzev152W3ut/LG/c0FnMqRnGBFkhu/MnTPnnG++c+aetfde73qf5/fguAbHHoV9jxoRLVJEnDJo3sTWNrZrYds5Fhbm8C3J9k6TWMHUbI1+mPDc8y/jOGP0B2tMT04SByHVShktNcFwwNbmNv1gSBCFjNXzLK/v4CjN8lILnITaRAURKeb2zaMaLdbXmxT9PH3V5Sc++DjPv3qRldVlcn6Oa4sNCoVO5vG2RhmpetRYicyOEKWCOM342TpROOU5xifH8Je3uXHhGvMTJdq9LsVimdfO36Q+5rOwMM3MxBhxFKF15mHqd0JaYYthKhgoQWoSHjwxQ9zrEMYpDx3fh++nNIZwaWWL/arK/MIUJZnH9/JIO6Va8fBsmJ102d4asBvGnDy4wNLSKjqZY2enRyoTZqYa6NglinxgSJZbI5HCIkk1QRgTRBHdXpd4dCh394nv7SHAt5lUjSY7yFu5TmLUDgu5N2N6vfYCfY2Qo2nU61OsvUkTmNfDhL/p63pPACgFltnLlhq9xmSI9L0GDAxi5OPKHmJkuuARJlCMPmbBvHt49ixzyoiMQOi5NkZILA2D4Tal0jjaGFo7y2yvXeP6+c9johT8EpocOb/E8Tc9ypkv/hlb28t43gxqMODcc39Ds79Ct9OnOj7PzQvPE4dD2s2LCHMIk7zKsN9l8dKrWF7AzasZMS4YRvS6KZY2dHubzO67lyQucOb81xkvzXLvfY/R2uzwueuf4Fd+5df5iw9/mOnD07RbAZVxyZlnLvH4O97PK8+fxvU84iRkamGMpJvypWf+mPGZcfYfPsKByQVWX1thu/EKwoo5eOAQb3/8g7z69ZdZXrtJZXwfi8vL3+EyeuMrV5xgbHKILTdAuNRmppBCk6oBUeqAJSnlHfq5PMayyRccbMsiMTE72w0s20JKi+1Gi3w+j7QcjA6J4xStBXESIaWDihSWnUl+HM/BtgvEYZaFoVKFkDbCQKfXg8GARCVgYBAMGQ6GmdbbkRRLPkbH7OzuMswXMp+JJbP8G8ugVUJ/GFDIFZiemiZOYjq9Dp7nU6mU6A8GeJ5PsWCzs7tDrVrD9z0azRZGGKq1Kp7jsbW5zdzcHJWxCWwL/p9nFT+o725JS2BjslgKndwi7gjApIooiW8dBCmV0Gk0iBJFsVxD2jaOEWidvV6nilQrQOKMpvOxCSn4HqlOkVZC0XPpbG/jeS6Fkkex6BElijRV2b0TmcnotEakGj9fYL3Zol4tY6uYwGg2Wl3OXFxi0O2wJ/9WOoE0JdWaNNUZTVBYOFKiAGkMakSbNKlGG4MtwHEddKpwnDyen2PQ7yIsgdEKKS1SI7D9PFLFREn6+sRLGIbD/ihfxiOKsjBjP1egMjmJqyNaccypCQ+hLUgjugPNIArBlSjlooXAz+c4evROLi61WNg/R81OsBwPy8sjrBBbwiunz1AulZg4dRzLtsHo7PBOvN5UmSRB2pnjXQiBiQOkm+1OhZTo7/0D1W9bR/cd5+7jD/Px9GM47jKP3fuzfOLp32Rs7DiLq6usrLzEkf0fQNuvwdRFPnjkt7m4+z9y/jPXuBjssvFkj0ayzc//o1/m1EKN0+uXGTZbPPvUp3Crk7z50XczWHuStc4ORw7exWNvfZjl9Y+y3lJoNyY/dYCfeOIBWoM2wTDkwJ3nKM6ssv7CIbr9JgcnDpMmPY4ePMpEsU4UJ2gj6SuLqNWg0R7gVmt0dtdYWd0kjbqUimXyRR8tfOz8LGmyCmHEWFESahvHthi0h1iOhwm6NJsJ9xzZhzYSU/Zo7PZwHRsnyROokPXNEOFCpeDR6ihi7aIDTTs0RNvbXLxwgziJMK6g2Vzi2edfIQh6GJPw8ukmt99znCfe83ZeunCJsJeSkxrHzwEGf7pEbGDnShvb9RgEIbZwYFsxf0+Fjde66KhFkjo8c/OLpEGI57mooSZf80j6KvMUxzYqhHTYpThRpNeMAYNQML0wwdbu936g6rcrLWTmxZESmUKmesqaJsezR/TbBNcFy5ZYMpMpq8RgW9lhvkby7Gc/gSs0/XBALpdju9FiamyM7d1teu2IqekxvEKRq5dXqFYm0UZRytUZDnoYIwjjiCAKkZZhYnICI5pYUmaqoK0etgWVqTJTszNMjJUJej0GQYdDB2dILZubN1bohTZnL7zG8WMnmKr6XF9aQUsLFWnOvPoid77pfiSK1FgIozNvtJCoVJCoEe1aa9x8lYd/6EcZ9h2efeEixX6LWm2c0xcuceex/Rw7PMf0zCQSRavdHnnrJK1mm17HgBWxfyaH09D0G12GWnKt3eNYYpiYtmm3DdOzJZrtmO6FJSr1LaKow+z8HOVyBVH0uOdNd/PiCxe5dnmdnV5KeXaai4uvcmj+CJ3ODu1BlSAMyJkhlrBG8TQK33UxSNJUMxwMsaSNbb/OXPherm9N/9sjnQt9SxoHICwLhM6aplHDsvfR3mt6yE7v5AgiYb4JEpEJCTWMTg8yNPtI5jcSGiLMLT8WgpHXau8322vUBGbP0GXE6yfw4psEhUKgDaN8LDEKzJRcfOXzdBurvOU9P8vzn/9DKtUp2s01NhZvEIa7RP2Icn2SOM4zu+8wW9df4sbpFzDSIhoOqVUMk9PHuX7tq0xO1QiGTTqXGvS7feIwYG7/FINWE9JFyrkqje01xmem2GreYG7uJHY+x9rNi1RLJdqNLrNThzhw6ASffeovubJzmdtuu50r1y/yd/+r/4ZyaYK19Q2uXr+BX9SUCnWUMly5dppDRw8y6CiMinnvO38SmUxzdO5e7n3sQU7cfYp7TjzKxkaTy2dOUy9XmZpaoN9c4eL5a1y+/iK2I0mS7/+bqi0E9ZkF/EKFKOliuaXMlJr2SYIhpdnDaBUxg6HdjlDaJbXyuK6H63ksrm5ihKGc9wkig0kiBoMApVTmv5MWSkeARGoHIWEwGGBbDlEUEYYBqdZZblRqiKKIKFEkOs1ofr0BW602URRR8H3COIsGSJTBdWyiMKJcLmGJjB4Up5p8LpeFwOpsk+07HpZlsbG5RbmcZW6oNGF6apogCFheWaVUKmfvG2fhsoVCHs+ziAbhyE/4/zIF/kF910qP8OeQ+aAyIEU21ZDSJk0Ve1KUJIpueetEmjVN1shTmqbZVMh2/AyVrDUximK5SrvRyO6QWrEwO8lDj78Fow03z19FWz6DtWUSJTBGkssVUFGSyaEti5zn44YhOtLIYpWnX7rEsN8nSmIK+RLDsIs2AktYGCSOLYgRqDSjMqk0m/zarouQMguiHt2LVRJj/Bz12hjakqRhxOTEDAhBt7NLFIWoNKMY+oUKab9Pmipcz0YpPXovsgmZtFEqIYoiVBzhuC6VaoVixefAZIGtZh8dxly9usz0wYNUJksE7YCCB2lvk2vbTT7V2eLdj76F8tgE1UoTvbrFvhOnePe73kG5XKHX71Ov18HITIEhR75eAb7rjmi1gJQkhBhpZVIqI2/9Tb+f6+XXPsKnP9PAdALe806P3/6Dj/FD76qwcuNPWNvoc2DmYf7Jz/40z537PE8+tcXV+R+j2xQ89GgV11T49Gcv8ra734WeibnUOcuPvf1RvrrwNMoSTJWXefn8hykWy+xcPEfHbbC1ssjUWIHH33GSzmCdH37bXSytLLGyscnBA/dSU29m9dwpdlfP4/k+xw+fYtLzUWGDq1fOoYYBja1NxmemmDuwQC4W+G6O7X5EikVnIFAqREgb6RVwXIc7Tx3jlTMXKdgBw9hGpwm5SoF+N6Tihjg4tDtdjLRJUhfP87DShEAnuNImlglJaPCdLKsSVxGGilKxShRCqSZYXg5xTZ+eGhB2u+RyLlFik6oUFRjWtjbYN53D0iDyNm4hpbK/iCdt1m9sI0uCylQdsdSgfqCGKDkMNtrodoLwBDJJ8KTGOzRLvN4mbgbIyQJuxUEEKUFkEHGKNpphe0h1tsJgSZEkMc2NXXzHeaOX2ndcidakGpRKcW0rAzmQQX+MNtlBuueByO6vxoA2Aqzs0MbobP/46Y/9e0oFidYpKnXodLpATK5Woxi0OXvmHI8++jCpGRKHgjBI8Kxsv1sfK1GtFzl/dpuxegk/Z1Gr17BsG8+VuHaL6fEaPVL6yrB9c4358TGOHzjKlZs3icIeY/Uym+duMHfyGGvLK6R9j+nJCaZqVZZXrvNb//RX+MNPvYSWIcICS1gZ0VArbMfGSEg1GOHieHDyrR/kj/70I9QqKZYugEk4cXiOo7cdZG6mhpCQ90u0Ww1INcVCham5CsaJaTVSDuybodddoVAw1MsFJqs2uZKH7lpMj0EtZ+NbBqMkrtQoYxgMFf3BOnP75pktVHjn4/dQm6rT2dpi9sAEZ1+s0W4PkMKnF2QeM51KlE6R0sl069KFNPOI1arVWyq5OPrex/9/y6ZqLxARRn4mYW7lQf1HUsDR5EmKPbj4nsQoA0PshfRmTdNecyRvMcde3+JlJ7iZPDBrjMQo04rRhjD7vcyt11vfNPUyYk9umOVi6dGpasbMEFiWwLUtururvPzsnzK1cJin/vh/oLF1mq4/ThgmhJ0lJD6pFvRbTbqdFjcvf423/PCH+OpnPsqxu95C2Gvgzk6zcvU5PAqsXF/h3sfezuaV0xRyRRw7JdUVTt7zOL3WS3Q3PZA2tbEDzM5Jht2UYRhz6LZ7uXH1ArWxCtiSuX23EbRD1teu0dpZYWZugXa7jX0kT6lY48bSa4yZSX7y5/8eOxu73H3POzhxx2FsneNLX/gETz/5NA889nZCr8vCgeMszN5BYgSenxLFfaSVIvKSI6ce4eaNTe6ffx8ri9+gN/jeX6jfrvrDPlJ6uIUyYiiI4yCbSroufslGCINRERoby4Vuc4cg1kzv20+qU0o5F2UUve4ALEEUZRAAz3OJkwRtBFoZlE5od7p4rkMYRlkullKkqckOG8hM+kESoVKNiROCQUSr0yVUCakwtAcDjkzUqZYLeE4miZqcKJP3bZSCOEnIuZIgzjaRaaqx3Sznp93t47ke7XaHYjHL71lZXWdibJzpqSl0muK4Ljdu3mB+bp5Op8Pk5CS9oI8WEusH6PQ3tMQocqHb7ZDPFzE6axZSbfB9CMMIx7XQqAzt7Hp4bo44CigWa3Tbu4gR2S9JEyw3j9YDTGoQqSYVNhqDSQ22DVutgFdfOEMaRlnIorAZDnooA6kxhEITxgqlNbaBoeozCAxLQcCN1V0GvS6p0RSLNaKgj2PZOHmb1Gi0UqSpwLYMKpUj6fYoB9Bkh2Ke6xHGEcIYbNujUCji5vJYwiIUEun6BL020oDn5bF0ikoSkjjGcWQ2HU6SjAYoMql2EAb4njOiekmSOCGN02xz6NbZHQQcOXaSMIxodnsU8zZ6GGG7NtGgzZtPHOLOIzPkfB+TDuh3UpCCk3fchefaYBS+75IvFFBpimvZI5JsxqfVWmdAGkbPQJ2CyBo/gSBJ+jjO93+g6nPPr2AlgrGTB/jAT/xLjqyc5//64/8dhOQXP/BzvOW+H+Wl69c4OH03H/qR/fzGh3+N/mCbSzdi3vG4w8LRcc5e/hzt7Rlm77IJ3U/x2vNdmrvwX/y6QbyasvlSwKM/8rPcfuwkl66eYaIiefrVP2Kmfj+vvXgVrXM89uAjvPraV4gjn3bf4Vd/5u+xb7xAq9GgPYgw6ZCbiztM1PNESvL1Z1/isVyFYdDl7OnzYHyarQHlUoluL8AfKnK5GliCbqOFkDZOwaVoDO2+Il/ykdJQzRvynk2oJG7BRquYes5hq9Elb0Eu5+A5FjlXUKvmWO2E6Fig7TzGxBTKdZQqMD5tMWw2sHWMES7CkuQtQ5hGLK6usbC7i5uvoqUFBvxSAb9QZfNcAxFKaofKNHcGTD94gNbFbQqeTb1WoOE3mZ7bx3ve9z6++JVV/pd//uP86i//C5YvX8Ks9xH1HPFAoV1D5UBIa7GA43ocPj7L9ciju7KGU/AISd7opfYdl04FaTqawBsbx7EwJrm197NdGyGyiTrYJCrFwiDs7H6ljSHstvAIcLw67c4O7UYXx/KJ4hjf9gh0Qt6rsdvYpVis0Gm1qdcycMLs/DxXLl3l5s11Ws1BpkaplKlWc2xtbdHtJCijuXL5Grpao311A1vYWHc5yDQgUoJuqw9ICqUCW9uNTH7o5Fm8scRwOGTu4H7q1ZD1m5eYPHgYBKRGYY8IsEKmOAIsYwhTzTCwkNLhiQ/9Mp/5N/8TUThga2tIve7R7zYIyi5BGFC77RBHDx7k+tUbnDtzhX4/ZvHmJjGCcnELK03w3BKDRkgSCM7e3OHITJGNlR5H5idRcURx3CVfzBRT164tMjc/wSsvnubwoQV83+Xg1BRfvLBETBevAK2dHnfcOYVTKqFtl1arTxQHGbApiZBkIC4pJK7nkSQJg+Ew4wh8j9e3NFfcQpQLboEhvvnrUoqRPPD10295qxHbw5y//l6ZzyprujK6n7kVlrsX9Js1Vtn3kHvSPjG6OLjV2DH6Z/ZaM7mXlzXStwuDNGb0u4NrW9jCQBKzcu0saRwz3N1h6fpXCXot1lavoVSA4xW5/f734rs2xXIN1zHoaEhlbBYpU4bdNtGgy/Nf/guE5RMnAa7r0GtsIB1JqruU6jUg5K4H3o3xqmxtr1GtFYmDbcr1aYr1OdApaRJRLhdQYYyfc2h1u6g0ZXpynnp9H/Oz9/Dcl59hY2OXjY11QGO5HvsOPkAQdvjG175OP9aktstOe5fGzpCVxXWa3SW6QZPFlVVu3FhEpS6HT9yPk/Nx/QKvvfgSl84/h2el3LxwjbHq93/4bxq2iPqbRFFMaiBNE5QK0CrEdj0cJ4eFQAU9/LxLPp8nGHZJkx4WEKmUONEEUcxwmGRyAK2J4zALVU0VQRyTKpX5KEZAlGEYjvTcECYRURKhdIpSKUEQZJtmk+KMwnxdaWNZFkEYEUUxjAhujhA4QmNShdYapVOyEzWN57s4jk0cJzTbbaIoJJ/LUSjk8X2fmampDOcuJYlSdHtdSqUytm3jOA5pqrJJ7Q/Q6W947U0KdZr9bQ2GOI6zUb7OwAd7mXzSske+o9eBQUJa6HRvbWT3YG0yEJDWBtsYUj1qNlKLRquHYySW0eg0xnEclEoQWoFOsFSMCYcQDlFhHxnFtLtDWr2AUCWgM68XElwp8XKlrLlIDUar0XuN7teGWxAhy7IzNLxWmR8W8LwcluWgDRij8d0ccTRAGEFiDHoEQfJ9H4weKQzEKMMqO2izRv5XIW3yxRqYLD9OYxgMh6y2hmwNLFJtKBZzjNVq1CZnGA57FGo1aqU8hw7PcmT/DKfuuj0jvyWKMErZ2FhHALlCCWPS0SNGZP4ukx3Ujay4GJ0iR5zCTErhZ6oMnWJLh1us/O/jSmKBXXF57zveyivXL6NVgF+uc/TQ22jGl3h16Z9yfLrGH33m33L2xucwlsMjD5ap7nOYnrjGbLHI7NEH+cmfvZeZkuKZ530aOwWQRSzT4pF3JNh2ngdP1JmrpiThNkaewwn24QYFtre3WVrZZWVlk7sPH+CR+x7kF374PSzUBZ1mA5UKRNyk1QyojtWYnpnkjjuOcOS2KZbW1zh1xwFuv+ceZg9McmChjhYptgfKEhjPolDKI9IEixSHlIKThbTHSYptx5Q8m5xtcK2EYbePSQYEwwxD7Xk+sW0zjDSxNigkCSl+zidf9EmxUFLQ3O2TL7kUSnXAxcsX0SYl1imeb9Hp9UmUYf9snYO3HaM4PU2+6tJuBfiFHMbVCAyFqsfW1S06a21SJGGoKeQ9cnaB5s4KZW+DsiQ7oFDZ9ZYGoB2JYyRRw6c0VqYyPs3lCyuoeIhAkkiD633/HwAoNcpSHd17hJCK4+o6AAAgAElEQVRYVhYL5DijA34DxogRKS/bJwohEJbEcx2+/MxT2f+50cRRiOdm1/H29hbLy6uMTdaJ45hcPodt2bTbAWE0IEXSaHfJ53JISzAzW6dUcRFCsrO7NaLXZQHjdr5AECgG7Q4mTlA6O4CVUuD5ebYbTeyci5vPY0lBFCfU63WM5dLphQyihGeffnIENMqmj9oYUr0XsZId9XiuQBhBiOTkiQfpbK4TJ4L5/bN0uwMWFubJeT5j9XFajQaDwYBS2efY8SlSHVOreCSxZmMnoFBwiSOF0gmXWn0qY7ksZ9XYBCpmGAQMBzGOlcN3Cyzsn6WQy3P44G0Eg5h2q4/na374fW8jVxCEWrP/wCSWsHCLU4QppGn23NqbLErLIgwjhkFAGIYjunFCNxi8oevsP6W+5aTKFplIL0OV/8cPib1mSd76JLuQ5TdNkfbw50ZIpDGZJn3ULEkzwqiPRknmVjLw65h0YbLJlkBjyb1wYCv7GQKkyLCYe00XtryVa5WoZCQTMdiWRJqYlWunaTcaXDr7adCKtcWL5ApFmo0VJucWSCMLS1bIFcYJej2EV8ZxC1QnxjHSB5FSm1ygsb5MMNS0dpep1+t86Kf+W/7yo79LfWqanF9lcvwuNndWOPfKl8iZCU7d+TZ63Zv0On06uzukiYVWAx58y0NcPP8CS6sR9931KIcO384fDiLK9Wmm9lc5dufdnP/Y1/jaNz6NMiELh46gU4fN5VW0yvPslz7G9PwEq4vX+K9/9Z/wsQ9/jEsXXuW++x5gffEmr77yefbP3ME73/kEX/zkF2DhBG4CSxdeQlgDVm+eodlY5OTtP/P/1Xp6w8p2chgS9GAD45QQbhkdNYl6XWQOCpVpZHkcrYbESuFNLTC4eY3dpUXcsQX6/S5pmsmqkJIkMkRJTJpo4jTz8EVxjGPJDAndT7EsC9e2CIMINWroU21wbYfp8XG2N3fZ2t4l1VmORN7xsIUgTBU72y12t5sUygVOHD3E/FSNUsHDtWIGiUWnl2ViZeSblKAfEycpY5USju1iEDQbTbzRKY7jOgRhwG6rSc7PkfOzG78hu1nVZuYygIV8ffr8g/rul9GQ6qxJzzye1kiWAkkSo5IEdxTevDfVd/0CJklHm4WMaKVUkh0YOfYtaI/ShjhJMUlKLBQGi0QZ4jRlGIYMhwFKS7TIMvxSLVHYhNIhCGP6g5heMKTZ6WC5Dp4Cu1DJstPSBG1LVNgnHeWhpYnG1YZwdM+WwmSSRNcdIf11JrEZNX9Kpwz6XRzPxVgOSZJgpE2oBmgh8ESKQpOq7NqKgyyzLfNbScBCSAvPleybnSZfmaA8Xuf0C1+n22uhVZlXLlyhXi1R9BxOHd9HvWzhWhanjt+GjgdMHjtMvV7G9ooordiUhl7YYmxymvNXrrJ/ZhytDa7rZ7Igo9EoVKhRtsqIYtJGI9AqGj2usgM9rbNIBtfPv37Y931cd71tjgPTLZ567jO87d73Mujd5K2zh7nZvMA3Tvd4sD3FR678KRO1ZZ5/eZH+Ypeb85L33HeS9euK88vruO46f3k9T9zZ5sB8gf/tN/5n/vobX+BrXzxNHG/w1g9M8ZWXLxMHpzl6yKUy1mOlIHjltQ3e8UO30W0dYq3V4ejMHTz25tvxbMlwGGGHO7QbbfqBYDiI2D83QSQLBLpHfeYgetDilZduINI+SM3q+iYIn5xbpLnbQCK5du4mQxJqBY+uDmi0WnjOJK5nKNuKmg+WY7HVGoBWVOtjzExVGDQChNboRDA3WcAr5Fhfa6FChfYthhFUJudwfTejyEkfS0ZoBGG4g1YSyzLUKlU81yMYtKhOzZMr+IT5bWKdEveHRIOY/FQefyyPa/s0v34F4dgU3DxOySc3jLh05jWWN6+S9jTv+s/+DlpHCNdGOobExHhFn4pSbHUld77rThYv3WTM9Rg4MOy7+LkcwbD5Ri+177gsy0IIg5R2tmM0IIWDSTN4jG2T7RmlNYr+0SAFSaoQCM5842t89N/+aw4enKHkugQFn253SDCIcB2bG9cXydc1EzNVBv2AStlhYqJKFCrCuMN2s8tMpczc3DxLN3aYmq7T6/cZmxjPsveUwfFjWsOURjvgwOQk/liJVMccnj5Mq9vh65cXKdbm0GZIZ3eX8bEaoUpYunIB7eQpuZL1Tpf05S8gzC9j2xapTlEq2/5alj2SiafkHRtZkIihwZue5NGf+kWuv/oi1y9c54l3vR2jI6S0KRRyDLsR2hZcv7ZMrTrFcJgyPzvHUG9nPlptEUUDmpHF7Udq+EHCq80eE1Wf5Z2QQzNFbDvFd3xKXpUkamOZKuevnmVu3xRKaXQ7oyPunxrnlbOrVMoF9o8f40f+839GW/kEyQDXyzEYDNA6yynMFwpYIwn5cDhkGMcMouEbvdS+bX3rSRWZFlVgsGUGeLCFwJaZ1M8S2fflaLq09xpLZnhZa5Ribe2F8I5eP5LvZ/kse5hcoxFobCt7f0eKzEwowbUlrudSzOUo5Fxc1yLnWexsXMbPObiOwXcFKmij4jZBL9MJWxa4lsRzbG5cfoFXv/Jhnn/q92lv7ZCYhMnpGTzPwrIKTM6cwvbLFMrjnP76fwAJJ0/dz4m7H2B3Z4cvfexf0dlZpFId5+als+hgSHFsgvrYBDcuneXRxx4C08vyLnIaHQaE7XV2N7apj02ys7WE0IZ6ZYqD++ZpNzY48/JzzBw4jFJDFpeucePaRYwNd97zIF965vM8/bl/x/riFdIAmjst8sUCU7MHePbpv2J79wYHbzvGvn3zNJtbVErjTE5O0djYoLG5zfLiGXQY0eysc3h+Pw/cdx/j5TqVUomLrz2PLYtEYUA4TPjqp578Li23v72yLBvLuJmxPG4T95pEQULQ65MMGsRhlzi12NgO2GgMaWxvgiVpdbvoYJf5mXnixNAexPQGCa3OgFZ3QC8I6Q+H9HoBRkMUK/rdgCRWo81xSpIKkjjLVCvkfGwpWFpZY21rB20J/LzH4YNTlIoWnTggSKLsBm9lxujZegFPaFw7wiLKUOtOFuYXhTEmFfieS7Hgk6YapTIfTrlcJI5jqrUqpVIJrTX1SpWpyTE832FrewvP9UjihGNHJzE/kP694aVUglbqVg6HSpPX5dCjKZPRadaQZOL4kdzZoDRgZROrlCxjCgSJyiabJs3Cq5UxWd6aSlEqk/0NB0MGgz5RECJEdvgkyRD9aMNme8hOP2B7dxfX8xl0+wyjkF6nSTTsMhwM6PW7WaMvJZFKSVJFKBnJ/vYCNbglQbVsC2NMNqX1PDw/j1sq4lg2aI1WISLVoBKsvUmb5Y4asayxApl5BNLMz2RMiu14vO0dT5DL5dg3NcPDD70V0pRuv8mg32VldYU/f/qrfPLpF1m6sUx/c5Wks4KVRkzOjCFsMI6HcD1UfR/uvlOMjc9QqdY4ePgwRml6vd5Igq4QWKAihIAkCgmGHbRKSaKANElIophBv8uelziJo/9fYKp/5l3/gP2VB/jvfu6fcf7Vv+JLXz3HxeYGScHivjs+wP0P/iNKxQpFPcd8YYqjB6exg6OkuxWS4QZH5qc4sRByxwnFmx4Zx3XuZGq2zm/+wj/kFx7/Beplm4n551gffplzN17kLz9zlr/4uGJlo4btuAzax5mpTvCL7/sR3vP4/SxeucDVS8t84dmXePncTeJeh14kOXHvXURSsru9DanFgdvvIRAW8e5VNqIKq90iY9UKBd/ClgkKi2Gvy0argQwVeVdQKVUol0pUKz4l2aNUTIiMhWsLcjmPXKnKxHiJNOzhOQWUcKhXytiOAypmtz9kYnqSQSwQtqHd3KbXaVGo1SlXc+TLBcq1PKVylXyljud5VMdyQJsoaBCnPQq5AmoYsrveobc5YHK2jl/Jg1QMdgOKBY/yvgn6vRZumOD5Ho++/35+/pf+AbXDU7iehWMcbMcm1TaWsdGhoa0Fdt7K5FUlj2HqYlsB+aJEmwjH/bbJOt/zJUZWEEGW0WdMdg8VQmA7MgOXkXmTtc7oZsaAHEX7/PHv/Ra3nziMTlIGoSJfzFGpj6OFIRzA/vkpTOQhREI/DJAyT2JckA6VyhRS2DTDlMX1HfYtFOi2WmgjUYnGd3ymJqvce+o2mmtb1MaqtExEL4yo+S67rQbnzl3g8NF5bKHY2d6mHUCxZNNt9ki1h4kyv9I9p07S2t0g6A9JIos0cdAppFowDDWDWBNpi8gYLGLKhRSBy/s+8NO0hoZIa4ROKRXGSNBs724iMAz6Q2ZmpllcWuKht54kVwShBkTKpTsc4BQ87r9rmmEv5sW1HsVUU6/aOK5F0hcYmWd1o83Z164hrCJKDNi3f4papcJkvYxfsPHzLrNjNaqug+n3KI7vw3NcSq6DbTt0Oi2QhkglGFsSJjE7Ozv0BwMSoyk4HhOF6hu91L5tfcurybL3XFEjsN4IJGEyDBIii636plewN2QCBEJmD9uMBCiwRxS/11Hq2cTJyfQtCCHwHGfkv8reTpsMD/3Kcx/j4tkvgLSYnT/OoL3B9up1Fo69idXrF3AIEV6FUq3GwcP3c+8jP46KY5ACRwrWrp1jbOYo6DxXzj/PzP5juPkqUW+FNO6x78AxtpbO0+yGuIUJoiSk1V1l8eJN/JzLvW99P1s3T/PkR3+bqYU54kHMbbfdgYp77Oxs8MGf+cfcuPwvmTk0zerKBfrtLa6cd3n/B3+JJz/+e/R7iqO3zTA9Ps/Na2fIl/K88/1/h36U4NufpzUYsHP6NPc98gRf/dpnmZgqsrx4ndm527GLBaYmJxi2B4h0lwtnLzMzNkmpMsvW9jb5XJ7GbocTJ07y/Nf+huJmjnvuu4N77nyYj3/yz3j+zDOYboF8bpLPfvJTPPDQw1y4eJX19UXuvO8ennjip/9WFtd3s+IkwXUsbFHEWB6uk+EfXUujhSQctFB4lIo2aRjjuJJquYaYHcfPlxiutm7BVsI4IoxiEqWyDaLjYkzKcBhnEwZb4Ho2U7UKhhTfLwPQ6nbp9fps7uyikpT+cIgmw7g2O9kmTUoLV9iUcjalvEux4HF8waNcsLClIXZAtDRBbNCj8b7rWWitSaKYYRhSr/r0B0Nc18oko1ohpU2tXCKMIrTSbGxusbBvf/ZQsTzGcgawfkD/e4Mru4OmJGkmjbMtJ6OD7QVTpmlmPE7FLV+p47kM0xStE4QYhQYbG0toJGLUUKUkOoEkIUkzSR4IlFJoA3GcoLQmimK0FFhaIKSDSRSBdhiGCSrVJDql1dgmVgbSKEP5W5JYJZl8RmhQGse2CJVCpAYhrSzcPVVZxpRKMvR0qnFdF9txcf08vuPgWS5GZOTCOEkpV0tIWafXbmXqAis7oBuGCa5jE4dx1kSOPFqO7WJbFn/zmU/z2Nsf49q1q0zWqyOlg6Hf71Iqlxh0uzx/9hIXbyxycKLCQ/feRq2cUo58bMdG+g7arSO9SWy3y+mzT7FvbpaTp45TKHnkch6pSnCcHGEwwHK8Uc5ghJ/LEwdtbM9HRUOkZZN0dhBmGtuxiYYhgVFv8Er7zsuETf7ok1/inmPf4PDtBm9qPzpZ45H7/0ueePCHGQ426bbH+ZP/8AnmD4wxPZZjaaPD8maXQGlmpwSi1OX6Cx1+7J3/gtOdj/F7f/7n1Mahn1xmY23I6VdmEG7KAw/fxeOnfpq/eOqv+MBbH+GpZ87w6F3HOHpogWgwYO3GZaSB1bXrzFYLBFrQD6FYLnP61YsonVLIe3SbTdo5j+l9+ykdOsjmxZc4v7LGzZ2U204doCpTXEsQxRoZxlTHK/gFSbC2y8JclY3VTVxP4ucdQu2yO9CUfIOKYqSlMDh4OQth8nR6faxhynY/wVgFtls9sAuoIGVifAwcF4RksuYzzGs8mSA8cKwYjI/RHQQKFW5j0kkeevNxLv3Jy+hOSmXK5ugDb+bKhdOkqY2dg8RS2NEAXcgThBFaGa4s3eDC0mX8fA41zMKwLQGW7aClIG5HjJ+apmILhu0dks4Ojd2A2qSmNFWjvRVi9tDc39c1kr4JyHmZQkNrPbKX6NetIiNSXqoUtgQjNcFOm4mKh1KKXC5Ht9PBsVIuXlpkYqJKalqEMXS2E24/MkcQwjAAjYUlI1qNVXJFn2K5QKRjvvTqGiUSpJXw4EN3EqkQx88hkJy69zjtYYLvjFGqlkiVwvNy1ManOH32Bo3WgMNH57h8fQfbnkOplNmZaQwQRT0QhvHJSa6cP83tD74NpAFtZ75rz8rkyqkmTW0SrfGFhTBD8vlx/v6v/WM++W9+kyBO2D9e5eprqxR8l1bQZ3l5hX4vpNuTdM4sUSjkqNWqWMQY26ZeKnH23CY7WpEIges7DFuGoqdoqxZulOPkXcewhM1w2MfPOQyDHsMgZG56mlqpSGpZBFHEw289jj97gB//xX+ONg45lVL0yzi2jdIpjU6bzloP27YZL1ZIUoXje6AN/V7vDV1l/yn1reV/GTAv8wDwzc3S3gJ9HVAxktSPNm2vN1mavRDfTEIl98J2yS5+aQksK5P0SUvy8tf/hu72Ok6hTDU3zt2PvJNzL3+Jl778J3SbGzhS0rz5KsMwwrYdomCHseJ++sOYNNrGMpr8qRrN7Wv4todXGKPR3GDzygvEVsz60iKepZE2DFo3iSNFHISkaFIdUa/OMowCbOGwfOE19h+8m83lyzz9iX/Pbcfvprm7gS2L5CoRhdIUz3/xBe64/zE+/cXnmJ4/zPriJYwxPPGjP8Pq8hb9xg2ifg+BTZrA8SNHWVp6hZMn7ubE0ePM7jvMxz/yu5x58RmQEeXcNLbVZ9/+O+h1BnhOhRMH5mnfd4TJiQOsXl+lX68zN3OYCxde5oPv/xCOHXHh7HkiFXP85JvB7nP/W97D0pU1kjjhla9f4vbDJ1lZu0qxUuW166/yS//wl/jYnz1DMNhhYrbyt7S8vnslSYiiDradR+Di2wJjeWjPJ+ztEg5jpBVRq5YZ9LokSoNdYNDcQWqFEClJomi2mxgtSVRCHKcjSZ/C6AyXWqkUma6Pkcv7GARbO7usXFpk0BtmGm1juG1hmhtruxQcHy0MQkpc16bouRmeRRhm6wXGCx63H6nBsIPMaVQaoxMHHUWoSJNzbdC5jBKVJuR8j0opRxCG1GsVjIHZmSl816LdHtDt98jn8yQqIef5+L5PohJuf+AdmRziB/FUb3hlkAOD0VmgoVGZ5wjDCHOejhqnrLlQJsV1c+hRY5FoAzqb6ijIiKbSRgmB1GlGq5RONgVCZ5BBbQhUjBGCIEmwbQuMILUEAyXp9oYMum1UHJLEMVEUYrTClk72fo5LohLy+SJaK5Ioy8MS0sI2ivTWBiY7bHOkhZQSz8shpcB2sglyIV8giEKiOCbvOaPcqRijUqQlIc08U7FKkVoTDYcYy8KkaUZGVJpcwaZQqzPs93j4bY9SGRvjj/7P3xk1j1luVKfVGvmyDPc/+DDj43X233UHhUKVarXGzs4Oh48cwXZsut0eUlpcu3qR2ckKFy5f4+bNVRbmq1RyHrYUaJ3w5S+f4dCh/ZRrdXa2dzhwoI4eZYYxamht6wJKW2xu9Li5vckDD/3QG73cvqP65Olf597bx0g6OTa2Z3nkvnfw3OknWdu8zsc/++/44s0naZ/dpTqWZzfd4vBYyNrzbdJahSBMuPtNDhfOT/FDp36CoxNlTudfYNazycnD3H3gR7n6wu9Sa91Nsu9V2teX+ci538KJC3zu2Qu858F7WRgrEg/7DIZDeoEhVobS5CzLN1expENlvE6n02J6Zo5Ot0+zsYuf99CWz+ED81y+scyBNz9C9URK/ORnuH7pOiIOqFSK+H4Jz5aYfockkRQ8Fyk0wlG0+5pZr0DVt9lqdmh2LGr1Iru7A2Yn8iht0xt0CROLMAzBsRC2g6NdhkFItVokDHtMVEqE0QA37+PaGpkIEqPwZUTY6lAoeuRRJFGXfnOHb7x0hVLZIRp6SMtneeUSsdI4OsBol+L0OMLRpNsxselx4K4prl61CJZXyJ2wyNc8Olt9/HyRqBcQiJR9x8fpdhL8/VNMFV1K5QrqNo/tpSsEQ02t7JI682/0UvuOy3OyfD+xF30AI2pvFhuBzABr7GUCWmTXrhD8/u//r+RzDrESdLvd0c5V4toeOzsNqtUaqVZcubHLgekxthq7TM9MYXmaermITHM4BZ9zl5ZZX23SHoSIyHDyWB0sb9TuWeRLJSb2TVMNQpIgIAz7jM/Ps76+Sqsd4OUcHrnjIZ5//lmmpw/QarbJ5fKsr6+iNPieTZzGkFr8zm/9Br//V08hRQbbsAQIK/N9GgtUqjAIElcgNEShR61SpVDwmZiY4Pq1S3i2hS0tAtVjbmacoKopVMY5d+YyN5aX6A9t6pUc/YHmxnqT2niJtZUGJk1odhMKE4b98zMMtwNazS6rK9vcdecxVlZXCQOXhUP7yeUcOq0WtmUjbIsgCDl0aI4Tb/lloiBF2xD0E7qdPrZrkI7N/PgUg1GO4dbuDolSICWN5i753Pd+qNq3Dv+1NOmIaS5Hi9ViJEfJ5qwZIIJsWqWlyJhIIx29ENl0yhiDFiPCvCAL/jUS27ZwHeh2WrS211m8/iJf/vQfYLkWrpPH8eDs6U+ydPkFBt0euVwRYSmkFOScHIPegHigqJdcJqeO0+ncxJKCZNDi4x/+KNVKmYXb3kalUsXJV2lsnCcJB9z51icIun2c8QrbwTbl8Rpz+47xlUGPsBPy9h/9+3zur9cxMmV9+QxPfOjXyHkeT/3Fv+LIyYfY2liiUq3yzKf+hGjQxnUDmqvn6bUajM3vY/HaRXy3xI0rn+XOO+7ivR/4Ob7y1b+GNGGYxly9cJX3/viHeOHFb9D4myfZ3V6j01zj3R/4EGE/ZHH5Eg+/8xHe98Tf5fL517hx5SbV/BSvvnyak3efoD65APY2vWCS3/k//nvueNM9bO402Nm+jCvGOHL8Xj78h7/LMNrM/Bqp4fyV67z40jNMTMxz79se5dwrDR5//L185A/+NWtrS3/7K+1vudJ0SBylGCcCE+HlC7gmJJEFtHCRjqBQLAIGMwhoNPscnByjWCqxu7PD2NQ8xw4YXj5/Ea0FE2MVJsdrDKOQtbUtojDG9R2EETR3e2g0g8GQKEmYGavz0AN38FM//eNcOH+JT3zqc5R8h0hLbNfGtSW+DY4lmawXydkOB6aL5HM2tpNiWQkmaQMCWyhynk3Rd2gMQpJUEUQJ0pL0+i1cx6NYyIz7URyjE4UoFcnlPJTS2JaN57p4XoZ5l5bFO999f3b98s2kzR/UG1ICSBmBSLLP4yS55VlNU43W2ZRSGmskV0lxLAcVRVkzo7OAdKNTjBFEKh1tGCRRGIAxJCP5oB7BTiwEQWqQKIwtCVSENB6d2LC8skwQDElVQhJHYAzlUpnBMMTozJ8qhGQw6GXQCDKpn0STYo0CshWO65EvFOl2O5hEISU4XoGc6yIsi0EwyEhbacogiSkWy+SKeZq7fYT8v9l701hbr/O+77eGd9zz3mc+584DLy8vZ4qiaGoiZRmSXQ9xnaR1G9cwAiNxHLRokzpJW8stgiJp0cIt3DoF6iA26kHWYFtDZEWyRFLizMt7eck7z2ce9jy941r98B4p7YdKBVSbZKHnywHOAJy993rfdz3r+f9//4IeaPLCf4UEa0RB1rMGawqASxpFDPs9BPAnn/8c/+DX/nP+8Pf+FYNuG6UcJuMRSjskScKDZ05z7NgxPvDkEywtHcBzXbLcUK3WcT2ParWKFA7rm3scPXwEbUa89Bd/TlgJ4YETnDy2gqMdjLX09laZzNWLh3o0QeQlwJBnMVJIHCmL95pCXmPT9778r+EJhpMzzNYO8uRjD/KNV5/j5FGXkXmOv3hbsLaxycxyFW9pnjoxl861OTRzD4furxMPjqKSh/i7P/Mof/jsl/jin3+JH33413n1xmd5a+01zr38Bmao2Ax2sP6U8a0Jylni6PwRPvLAPVRVxu31NpII369hkSAchDEsLiwQWQEGgkaLje02jhnRbNYZJhFXrlxmMj3E8QMtas0azm6b9334o3z69z+DGadUyhLtwHDQxRifoOSwNF9jq53QqNXIzAStfaIsRTgegdbsDSdoFXBzN6LX7SJdhzSPCfwawhhWDh0iurWF0h6utnjlOqgxzZpHSWdYpmRexG7S5fbGAK00sy2PkhaUXY+lw/ewcKjP6uQmgc4xfgVTSdDTnHQEVmWUGgGT8ZDqfIk4n3Dp3CbVhYDq/QeYnTvCy9f+DQeOPcTu3QuQG3wJu7e7VJYqJP0eVzYjPDMh9iwaSe44pKkiG66/00vtB67ibGP/vohEO4r9bHLy3GLzYjLlaF3ky4riOs2ilNVbrzPTnMVaS7lcZndnm3qrSa97jVLVYzyasNfuUPEcxr0+g6HL3LJie2eb/lbK4mKTShjghi0++KGTvPbKa3j1Cr1+m8E4ozk7S322wXZ7xNz8CvN1H1/D2TfO4zoQllyqiUS4Pi++8BKHVpZ46/oah+eOopTm0cce5a2LVwh9n3K5wt21bWSakcUJuTEEoUFrsc8kMEjAdRVJZrBJjBQ+opTxr7/yecJyGWlzamFInmUYwFUh7b0u2rF0u6vUGw7YJmGpyvlzd+jGGcbV0J0gEoO2klbJ4VonYTbcxSn5/Luf+BG8ssPdG1so6ZLlObvtXUphiONoMgTj/oj5mTnGvQ1sKaQ9HlMOqvSnHfqjNsePniJJE67ducVgMi7upsZghUBqhfJdcNT3XgjvgvqeZ9e+tpQcCDR4EhxpkcIgKch6UhYbRa0EWhcBlI4U+/4pURD9KELW9mFphQRKCFxVeKVe/MZn+PoX/zf++F/+Gs9/5XeJhiMmwyEmzxn22qxdPct0MMJ3PUyagIBWa7HwzojCFK20w4n730+1sbYttjcAACAASURBVEyO5NKFl/C0Ih53mfS2uXLpVUDQ73bBCLqdXRZXjuOGdbIsxvM8Lr7+bYzNCatl1m6dJe63abYW0Mrhxa99jr/48mcZ9QfcvnEZRwUsHLoPIRKqjQpeaZGwUiVLNUsHj5Lnguf/4iskcYIB3jz/Bmk+5Ni9D7O2vsr87EG6gy7PP/sV3nj963i6jutXGfTboBzm5mZAaL7wxc+weucyb771PFmas7VxjTQfs3r3Gp3ekBNHH6GxGLIwv8h4tM1D73s//d4erZkGC4dmCdwqSwdOYIVkaXEWKT2k53Li5AnOnDnDRvcGo8kGly5f+KtZbX+ZlRe5O0o4CMdH4iGVgxQGRLE5zYwEqfHDCg4p8TTGr9TwXRfX0TSbDTzHoVQKyHLLtZt3uH13Ha0UC/NNWo06FvPdCAFjLaVSwIHZCj/2o0/xxS9+jT//xre43emzPZwwmoyJ44zpJMF1HeaaFZoln3pJM1+z1LwUYVKkTcgzcIQiEyBzQ8VXuFpjrSX0NVrmaO3iu0U+VkEYTAt/oa/JsozpdLo/YUsQQuH7AeWwRCncz9l5hz+iHxb/F0JegR03JsOYHOx38lIKOZ1AYQwFPTIvZKBFFpQFwz4EwpKavCBGZgk2hzTPSBFgZAElKXAXpKZQW6cmJ7PFoVaW5nS6fSbTMUkUkURRkTGlNVletE0FQtySZRlaO+RZSp5bpNKFDBy+e1iWZQmDfqdogrAo7WCtJc0zkrTweMVpUvyNECAVruNBnKCExGLRWn43IPE7kNf9t62Q8EiJkhKbG1ZX12CfeKW1xzQuGkqTZ7i+y8/+/C/wxJNPUq/PoB0H1/fxQ59mq0GlUkZJSbvfZ3N7izSL8cIyju+Q5ord3mT/8ynk567WYG0hdxeFj8zaf3tMIaRAKokSAqEF9t3/7P++dWvVpR48hFAOtaDM3Px9XLi1TXsXVAqO0gzHOYvViM6ozWgt40DY5O7uW/z4hz7G4aWjHFma51d++ueYm2nRTe7Sm0zwSoKxhqW5ZVYOHiIdhMxXVjhz8BB//eMfoakz4jhlOE4xqkRYKZNZixM2ETZnmiuU69DvdXE9KPspW7dvkMVDhp0OlVrAYDikPZxirMYtVak35/GUBxLG/QF5PCVLwVOSsqsLHHXg0mo1masH7I2KmAIpLTZNydKE/kjiSY8kyzH4+EGNxYUWkfVYW9sm0BpHGBzHQamcShiiHUk06SPsgDQdE01ippkkrFVozoX4lQpauaRxRK1SwatLDj9U5+DDPsZkxTUhHbSrsaaPIwS6ohFognKLJB6AYzFJD8/6NEqKmVqFUljC0Q7CKIJ6mVGvTaAtmQiRiSVNY+R0yrQfIVX0Ti+1H7iM2Zf/yf19pwVhi72n1JbA0zhaoJRFKMAIjDVs3rlG2Qv2p/MSMAil6Y0LENo0SkjzGByFRnP19i5kI7JJhLaahZXDZEYhHZc7a+u8/sZlhkODdkrUWi1Wt3bY63YYjcbUSiUm0yGuKzgwN8PibB3PLTEcRpy853gh16sEaL/CgYUam+sb9DpdLl29iOtIxoMeOzsd8jRjbqZBpzdiECnIDdYU92MlJFoqrGUf8iPJRMq4vU53+xY2TciymGa1QeCHlEshe90Onu/QHYy4cHaD1Ts7XLm0xc2rm7gyYBoZTi83USYlU5JMOCg0rpDs7OaUa03euvAm16/dZn55jhP3n6I5V+PgyjKerwuZZTolUC7r63fRos6Nt19gr9fj5vptbt68Q1iqopRibWeH7mSEUQUu3kpLmkYk8RQhJNPp9B1ead+/vmdTpfcbqUBZKo6hqnIaHtRcSyNQNAKJ0gnJtI81Q+7cOEfc61B2Jb7O8R2L7wkcT1B2FKHnUA8cKoFLyff49jf/gK/98T/j7HOfZrizTjrqgsmwScJ01CONEkb9DllS5LdUaw3yNKe3t83O5i73PvgjkGdUqgus3byI75cZdTZpzS+SDHocPPwgr37781w/9yyT3iYqL5LuN1cvsbl5nc07F0jiPSbDCXduPIuLz+adG5x76WvkFk6dupfhoEsWpdRqAd1BnyweMx506G9vIByHmeVFZipzPPLwj7CzeYNnPvqzPPzQk9Rnm/z03/zbLC0fpru9xUMPPM3KgQMMOhPSHN48+wrWZrhuCaFzjhy/j3Mvv8ArLzzHY49/gvPnXuPGzct49TpGGJ54+mncUpmrF65w4eJLRJOczdUtFpr3cva1Vzh6/ChOKeOJJz7AuNPm7pU1Tt1/BhMPKZUCyt4M2pPMNhd55oM/yduXztLe22AwnBCW3v0j1e9XurJApbmI9ssEfgUrFZn0ENoh8H3iKGbQ72FMhgpKHDx1AkmKyaaUmw0cbWg2Snzy6R/B8xwcR1EKA3zPLwz7owib54S+QgrDdDJlZXGWhXqVSZ7zv/zen/HpP3+ON66tkqQ5vtaEfkDVcwk9l8OzVZYaLoFrcRVkaU6eZGQGXG3Jo4jpJIY4Jay5WJsReB4zjXox0dUO1WqI1g5BoKmGPtVSSOi7xElBuiyXS2RpjgECvyDInXrsabSyBUzmnf6QflhFaK8xGJMXss4s3W+gckxuyWz2XdpqludgFVoJ+v0uyTQmyzLSPCHOUzIDaRKRpRlpmjONRmRpAnnO1CSYLC2aMZNhs7zIltrHrVur2OxG7O61yaK4kJ5SBO/m1jIZD/dPdO1+A1GQMaUsGn25HyOgRZHP5mi9T8uzaO3ge/5++DtMJlOm4yHRZIwOfUpBCTfwyPOETmcX62gcx6VSqWMsCGMReQYmLzYH+wcCUhQbXCkEfuCwvDhPdzzhP/61f8Lf+/u/ihIC7WiEEHzgiQ9y6OBhssyyvbtDmhRAEO04lGtVSqUQJPhKsnn3Jr4wrN2+xWSvgzA53UFEuTlLpTlDtTHH/OIBWgvLNFoLNGdmqTdmaLQWqbcWqDbnqc3MUJ9ZZH7pAJVKlfmZ2Xd6qf3AteifJpi5yzjb5Nb0CxysG1r5HOMd6EWCheUQ8Fm/6+APNUkCL5x9g377JOfffpv3HVzg6t3L/NPf/T/IRYsvvvI5bm/m6LzFhA021SU2Jnc5GnyE//DjP8ZHTh5i98ab7Gxts7s3BjNmY3uPt67e4sbVq2ys3gZVYtDu4lgB2ZRoMiYbdmmtnGISRRyab+EaxcryCsNMsLrWQWcpR08c59/5pV/Er8yQZJJud4CUMVpkOOT02mOWKhZXC1ozJULP4fbGgGgUoVVG3VdsdNqsDyPcICROx0SJwRiJyTKSaYyVFs91UNrgGAXpkEBPMAzZXd+hvbNHmrs8fN8B3vfIEo1GhaAastUe8IUv/RmvXPsajZUm02iPKNlAyBGVeR8xA0dPrIDQhYcy1kiVk8VdsIvs3R6yurOHF1bY3FvHCyWzKxWaCzX8ksf2W+uItPBWpklEspuQDDLi2OC2PKZ77/RK+8FLa2e/mRU4rgSR7tMADVrbwl6yb1ux+15prOK/+dQ/II4N5XLIaNgvMvGU5MKFi1TKPpPpCJNbfNdnlCRMc8vhlVlatSpLS3PcvHWdNJkS99s8cPwASiZUWh42HXHmwdOUq3WQhewtTRJ8t8xgHCMdzfFjxxCmaJpfevVVeoMRpUqF3nDMkUPLLMzP0d7aJfR8lCj83u12m87OHuWqwx/+9v/AQiNkmEmiLCUrdAikGOIkLZ4LAqZTw7lXnmdvd4Mw8On2uqzv7VBvNBBCUm826A8HHD95P25QIaxqHn/qPo7d26DesPzY08foD0bsdROkp8HNuTUYcWq2QeK5XLhwA8dpYYwlLIWsrd4FYbl69QpCaJr1Jlcu3SSOLaWwwdbeDp6rOLQ4x5H5ZZ545DEOrBzgzasXubV5F6G+kwVY7Pul0qRpcfio3wNB1d8b+6JUgTUXYv+BnJPlgJCMRnvcvXqFP/vsb+O4ORu3blOtlrjvgWewUvA3fumfIKQgy8Z866uf48kP/zUuvPEcZ1/6AlGSkiY9etu3iMZxkZ1iwZHFA781VyZLBFvbI+Znm+QxDCdDtJTE0xQhQpTr0NntkKUx2uZsrK6ysXGOpcXDnP3mn7J88CRLB0/Cs39Ku7OKWj5CvbnI7u5dpqOUnbU3aVQOs3L/+1i7foWF+UXWsgGLpXmU8hkPJmhRolJp0d3b4sbV8wSOQpgp7c0NDh1Z4NCBQ7Tba1y78iq3rrtESZvf+s1/xMzcAoP2DpWyy9rqBWqNKvfd+wCLyyc5dQp+57d/g5mVOu975JNMpx22cNnavohRAf/e3/glfu/3/zkf/uDHOXPqMaqlkM3tDV547jlq4SJ5FlNtwdr663zg8Z8iThT+sEqlPM8zz3ycf/irv8zRE/dSaQRsbexQn1+gWVliq32X//Tv/CNOPXAKqX02d+5y7vzX0Z7h5u33/qQqm3ZA+fh+iTyNEBQbRyksXqlCrWWJxkNGg4jhoI/nu9RqdaTr4klDMp0w6e/w4AMP8vD9J/nqN1/h1QuXyPO8wKZO+gzHI1zHBSFIkoQbdzYIQw+9p7BYHCn389yKr4NoQhzHWCG4vCE5tVAHJVioK0ZxjqMFVZ0zGkqUTHA8jXYhmw7RxqWmDN0MEiXJkoQ0jdBSEngeSkmEyOmNInzPQ8kifLRUCskyQxB6eL7LT/70B1E/bKfeNTWNpvtSN0uSpQXYIU2LltcUU5Y0TshtXvisjCHPIUstNo8xWmPSDJtnZLkh9lKyLCU3GdMkJk8tKIinCZlyyG0RBBxlOblJ8L0So1jQ6casbm6TxZOiWdqfLhkhMWkRBh5H0f8tq9BaQ5YbHEejlMSkOdoNCwWBdgr8kBA4vld4EXNDkhboXmtS/LCMMhDZhHIYMo0ThM2KiazJSaLpvldLIJUDIkcJ0AKskGilkFKhXY+f/Gt/kz/8k9/l6n/9X9Ht7XLqxElWDh7l9o0rKKUZTSZcvHSVjz3zYeLJlEarhXac/SyX73h9BRcuXOD8uTdI0wmzlYATZ+5BOyGB7+J4JaBocCvVIqgZa7ACpHKRqggDRliwFqU0xoLjupT8d39I5ferU8ee4lbnTY4uH+bCxTfZ7m5RLflM1naYr88x20pxtmqML+0wmIBNMtKJz4NzZ5hdbPAb/90/ZDYIWVvdwTt1kmOLJ5ivP8XZq9cx3Tl+4pMHWZwcpJpnbN+5juf56PoS3e095hdL3NrY4OjxE0TTDEdY4vEYlIMfBmztjKi1FhjsdvBmjzDpdAnDMsPxCDPpsrkX0t3r01xa4NrtPT7xkQr3HZzjrXvu59bFc/TGU/Q4ZxQPWUynlL0qd/pdyg2XsFJiqVmmF08Z7IwYkVCvBcxWHJL+mHE0JZY+pbLDemeIVCnKcQnDEoNeBxkZSnWBEpbByGCzIduDMS2/yvxKleX5kGQ6wVV1IgwvXFyldu885B7D3T71Awdo37iJDCE3OdLm3L68ytQbQgYizfDKBpumxIObeE1BNjbUDsxwuiZ58ZW72GiKNQJjJdp6WCWYjLbJc4V2NTL2kGFGPBzghu99+l+WFbYQxD4cbZ9KXVSR46dkMZ0SSJSSdNttRDag31O4Hkhh2N7oEKcZs81ZosEO1sJ4mqAdjyiOiSeGnb09xtGINM9ptJpEmUWqMsvzZTzH5fLduzgYoukQv1QntxLX8bA2x9EuQnqgPZYWV/jC5/8EYRzcUoWK77G9tU2v3SZQini8R73ZYvXOXWqNFn4YkhnLY48/ihcK1q++zG/9t/+Yv/73fx0tgNxgKKBwUngApMbiONBvb4I11Op1bnd26Y363HPiOMNBHwR86CNP8/wLL3DwuM/G9pTmQpN6+SD99ot8+8Xr3GxbXJ1zzHNZODzPi2/f4Wqnz0PLM0SeoD/ukwiX115/jdNnHmDY75Ib6A36bK6tc/qBU2xt7NIIG8wvL6GUy921VbTrs7a5SX80INfgBQ4Xr7zFwvwiYVjaf5YUKrhxNN7nM7y763teTSmG6SgiTifUKjMox8GajG57l898+n9i9dJ5Tjz4GINuj3R6Bao+b7z2RR563zO8+caXOf/SNzFCsLt1g6tXX+buxTfxSwGVep27Fy+hHEHguigF8TBDuYqSr5lGOXZqKPkeg9GENE7wkBgToVxFNOlhM8jSKa3WPAePn+Hs2W8yO7NEa/YA0/6A0+/7MK89+2V+/m//Bt/6+qe5cvE82k85cuIMUldZvfk6C4styvUmyiuz196h5NfY6WxRqoe0mhW++uVPU640+PiP/zSrd28Qj3uMogGd9iaOrlEK66ytXae99ybjoaBc9alWGoxHQybjAZvrV8ljhzfPf4O5A2Um33oeIYvwuCPHD3HjzstksURKQ68/4KEHHuezn/kdJB5pKri1cZNDC0eZDHf4xl/8Mdp30VIRyAW2b68yOZ0RzijYtbQHOwx2J5w4cYLOYJ1SqUmSTXn521/jTm2dowdP8cCTj9MIGkTTDlevfJssHuLqEvXa/F/VevtLK+3VCiKlkkjjkMQRykJOocnNUUjt0u10uXF3E08bjh46zPx8E/BZXduh3e4hvRonD63wkfef5sef+QAGwWQ85KXX3+b1t6+yvtUhS1Kk1rgOpFlGRo5WijjPsVkxiXAchyRJiW1ahPKmhrV+RMVXHG0oyCWjKCMUGqkNufHII3ANKAytlmI8NuD62HGCwCGfxIAhzR1ck+M7Lm7dITOK0XiC53nEcVJIRpwy7/v4z1EJ1L/VUP2w3vEyFtiX1pkcDEXIbeEFKJDiWZ4VXlVReFSVckjSDOWAsJo8z8jSBJNZ8iQhzTOssRgrCzqltSRRjA1CFGBIv0uItE5AbxjR6feZjEfE0bSQD7KfLGgtuRX7UBPzXW/sd+BD1hiU55PmBdocKdCeh1CS3CRIofZlhMUrCv2ANMsQQpPEEakxzM/MksQTpsMBruMUp5JKFv4lacEkRErhSYl0NSaJCX0fpEQ7PlkUM784zz2PP0RkYe6eJTQuQVBCS0luM1598Xl2trepNxu8/7FHEUIiBIUnLM8QUoMwHDx8gKc/+hRXXn+JdNLn8OFTTCLDtRsXQRSbsNxYgsDfb15zHCHJhUTaHEth3EjTFMeC1hohJeL7nFe+F6qfj9marDPqzjKKpzT8BpvdG4iS5KlPLDJZW+DKxk2WDwkGdwxx5CJ1jK49y7effRs5U+Xo/fdxW13kyvZt3v/ALzBbb9IIZ3jqk/dSb9+mVsrJc4lURaPa3lhn+eRp0ijnnnvvodWaZ9xtY1sHmA7H7Ox2WDm0zO7eNmUvQNQEeAHXr7zK7MIsrUqZcVziSCXA5JJRp821i9c4tHyIPB0zW5GsVltM+9uINIPEsNeOGVcjlusBoBl0xni+YqURcnEwZa+fkA9igqrGcSTjiSKNU6ZySpZYlKs5dmSGyAiEzNCuZhpFEMe0+zFpEnP0cIlSxcEPc6RI0I5EuIrOTkQnTxndvsJwkBFWSizXj9J3dxjsGky6g6bGgfsPsHptCJ7CkZrBdp+gpqhUl8iyCBso4tEeb6w7uNojXJih5CrqrTJRookmU26sXcVtZDz8aMilNywmtYwmMb587x8AyH1PplJqXwlQhP0KURB3sYY0y3AchUGR2oQ3XvwGGnffNxUTlEMmsWEaxXiqkNItrxzh2tWbJGnEbDVkbxSz1x4hZECtUWZne8CR5Sqj0RShE5YONFldl0R5hNRgjGA0ikjrGWBIkhFSz7DZGdAKPR5+7CFeePYcVkSs7e0RlkpUg5BT95/hc3/0xyzMZhw/dYLRaMr62ibVmsfuXgff0Tz11GOcf+NZysKghAciJYkFUWzI9yMpRGJImWCEy+LSMlE0ZXFhAWENaRpjhWQaR9xdX+f55y/x+JOHOH36MZpNn3g4Za+X4xvD6TnFwswc5y8Pubu3SdlrEg+n3NrsYKTDzLyiVg+YbbbotDvMNGpUyiWiNKXsO/T6I06cPMaVGzcoV8p0x7cY9GfIhcRqyIUh9H1u3L7K0WPHSGLLaDzB2pwomlKv15hMR++Jpkp96lOf+n/84c/85H2funblZb7xlX/BAw89w4VvPUvsJnz2X/2PIC0miin5C+TjlJMPP0I8NihX4sqQy2+/RHtjh3vvfZJ0ZOju3WZu4TjxOGE0HDDsdQkCn/FojDWWWnOWJJqilSI1Fj9wSTODdhVaOjSas1gsaTYiCCuYNC/SsoWg3V1j0N8mmnRR0mOcDrj0xqu8ff51hM7ZW1vHCzysNUTjCdVKQDwdcfLM+9hcXWN2fp5Lb78J1jLuj1heXmB3u4PShp3dLTY3LrKztUl3e4vcGNwwJ0332NpZI40nDNoD8nxKq1HlytWz9IdrjPtTlg4c5/VXv8mg12WmOcMbr36Tjc3LTKOMaBwx6o1xXY+t3Q0WFxZJYsOtm5eo1n1u3b5MLlPOnzvH9saAmYbP4eOnmZk9yOadK7QWljn31gvcuPYGXmA49+rLPP/tL7B69RaHzxxief4In/yJn+O1l76KW5a89K0vcfnaZd64/Bb/62//Y2zus7DyCKePf4gDJx/no4+f/o2/umX3/31deeu1T7lOkWKupUJLMFKBlUTxiEF/gOsoHMdBmIxKpVxIrLKcZDplbXWNJEuohxpZquN7Ac3WXGFMl4Jjhw7xxKOn+fhTj/Lg6WP4rsOd1a39LCBDkiRkSUaWF2PqJEnIbYawBmNzPN+jGrpUPF3k9ghBkudYY1GI/cDTYmMttcEKD0uh+de6kH1MkhwlFJ7jIEiJkwJioaVCKo1WCj/wmE4iDh46xi/+4k8V9KP/vzVVovSeXat7W3c+hZAg5b4CIN/PTSm8VlYWEja732hlWUq302FrawNpLEJI8jQhy4ugXKUUyT66X5gCTKFdnyQakcmAXq/HXK2GSRNC32OSwuZej8FoRBZPyNJ4P1/KIoRCqkLeahEoqfZFowXkRIkiZFArlzydIoUm26cK2rzAF6d5tj8NsgVcIkuK/9nk+GEZrQRCaiSWoBRiTGG29ZSLMTlWapJ9/5YgR0jN0myLwFVoqZlt1bHG8Py3vknr9AncikvoV1FY3nr2efLc7vt5IckT1m/f4kc++GHKYYhWCu04WFO8lizNuHLpbfrtLeaqFbZ7Xc489n6yNGNrr8Opewr5oFSCJM4YjRNK1QpJmlKrhxhbnIB/xxOn9yEe8Tgliae8/6mPvmfXKcBnX/rUp6J0inBzRiMgEjx6/yLlMGWQnGdWPsTuWpeZnZwonKO92+PDP/WzrDzydT5w/O/x6qXLvHTpKo3mLJ1un2vnXmJn7w4n5mdYHHfxhMTkCaFj0EyQ2YjATbBphlcOEMbSG43RfsDa7TWCWpVJr0dQqyGdkHgyYm5xkSs3N1hYmCH0S+y1e1RnKowGhaR1qztGKcGhlRb1Uon1m+fpTTOSFMgMJR+ULRDRUZKjMoMR0AhzpJTksrBBjJMcaQUoSbkRkqQpkQGhMoLQ5cSpo4g0xpU5QuR0e0OEEuRxjBUpYaBwPY2/7z/XKmRsHc5vDxj2NcuLJ2gPNoiGhnQSFV4nXAbjlCQbkvQT0izGEpPmAdrJMO4QpGA47GKmQ3JKzPoNSuWQchkc30HmMOsaNna7pESEJY/WQcmdayNULijLEr1xxK/+8t99T6/VUWw+lWb5d/3TSrtYocitwNhiYmeFwUiLyRRxnvK///P/kkG7hzUpcwsLDAdjRv0Im6cIK+jGEeNuF9eT7HSGLC212NzqI6xlMhgzszJLnsbMzi2gMTgqJZ6MOHrkAHu7bR55/BF2t9vMz9bRroOSmrDUwNqUzKQMo4y0v8XQevheiSjPiZKIB04f5JUXz/LIAycQUpKnEbs7e/i+yz0njzGOIpphjatXr3Ps6ApHTj1KpTwD0uI7AqkgyYoYDe3mODrAjDd49bk/x+QZ42jMsD+FXHD0yDGkrLKxNyUdb3HyodO88uplOt0Bw/6I06cO8eK5O/iixFonZXG5TJwPyfIJnjY0amWqTsp4HHH61Ek2t3ep1ANmFppop8zLr77OQ48/Ss0PuHz5OpVSGYzGP/o0ym8xGfcZjjuF8qzfp15t0utvs7OzRVAqGsWSG5KNDV7oMOz3+fiT739Xr9XveZyWJYaNG9cplxz+xX//SwSux+7nOsSxxWQZH3z6F/jWN/6Ihbl5NjfexKQTlg+fIp5E/Ognf5HdO1vEcsDcgSOM4108v4ySCYGrmJ1tEU8jwnIVS0yS9ShVHHqdEbXmLNkkKTSwIkYoySSZgE2ZDlIqK+D7ZZLRhP7QACl5lmKznG5vjXwU0d7rIYzg7de/gTCG6twB2u01SmGZ27e2iaKIN89+AT+Y5/WXv0q96bJ5t8f8UsBwsMPWnVWOnLqX7dU9KpUaezt7BE6IANqbY6JJSlgKWVqeZ/3ODkGpRG/Yp96o02jO07Y7nH3lOeI4ww3hjfOv0mjVuXn1LiU3IE7G1Gsr5KkiGcccPnIfF996k9m5ZYS1PPPM01w6f5tmc5519za7vT301g1mWou4ZcXM4iF2dzaoNVbIreLk8SO4Ycjr/dfo7G5w5tjD/Juv/i6uJyCfUq7USeMJb194gVE3YvH0AXLR44tf+S2e+eTfAn72r2TB/WXVsN/D8z0c7WGFQogh+aSLxQUKlCzax3OmHDywQJoLxtMpUjrIfEi5Vqbd7jEY9GlEMX7Jpb27SZZlVGsNrDR4QQ2tPcrlOnNzC/zExz7Em5cu8sdffo5uf4QRZv9EXHxXemCtRAjLzl6fPMtJ52ocnveJrcBaB09bjDWY1JDkEqUNVkry0RAhBV69RmAzpgh8LSgFAXGcopTL2EZYKxmOx0jpIKQkywytmRn+1q/+Cnp/2vHDeveUVsXG29GqyF7SGoQtmiEpyL5DfdgPAjamyJwRlsKsT+HLyrKUJEmJxjH90QibZQWsJJmi2nuF/LUmsEqztrVBFie45RpbPpA3mwAAIABJREFU3RGDboc0TciSZD+jRiAKA1UBgRAKYcCafD+7TeAIQWYs2nELA721SK3I4hQtRDGNUgrluOTZlNzkCCFIrUTv+7jGowGVeoM8npIaA1qipCbwykymE6TrYo1FhyE2SVC6hJQwSRKq1QqByPB8j3K5jN1tIzyHiAwhM5QjiZO4OIjwXPI8w1MufqlMHMc4ngOquDaFBGMsaZrgeg6uVkyymGg8xnGgXPFpNWpEUYLnOiRJRuC67CYDTFb4y8z+gQwUwBpHKUyeF3ky+5Ps93ql24b+uIYZ+CRBGzuZ8NJzZXTDML/7KN3li0jjYu4/w48/dIy9vubs1WtMvv4EV5f+KdpfYmZX0axF3H0rpyxCFr0FDuQJ1bDE9labpZkQ34e6V6bXGTMzU8cPJINoE+FXSfQCMYpSSZMnhubSPHdur9Io+5RKIXGccuLkETbvrDKZ9jh+eImLl28xnYyZpDGLKyvk9Xmu3+4wP+Ny+MzjDKKXGOx1SGWFmBE2i8mHCWG5xCDJ8PHZ7Y7JsBxu+mhy6mWXrbEpiJgypzHjIJBME0urWSOdjIkmXeYaDnvtCD8ogCpe4FIPyvi+QimP3DikeUbJd/noEz/Bk08o9rZXAYd270HW1t7m5p1dlmbm6IxTPNXFYiB3kUnOVKW05jy6k4hmeIzuzhiZT8mNw3zJpeZ7WBmz0CghlWRtK2HHTqkFHsvLx7m+scnktsORU1W23+4wimKa/ns/UqWYSkns/r0mSRKsKb6vdHHIorTE5BIpwLMut2/dplWvAxmTaUxiJL3BiGk0RuQ5qZSEQcB4PMERina7j+M6xYGX49AfF79z7q23ODDTpFb1EUqCGPLog6dp1Kukdp1RnDG/0GTYH+J7IYNBRDTNyLMEt7FCc+86W+0RM5WQYGaFW9dvUKvMcO78dbb3Jhw9Msv83Cyeqzh79iyn77ufnfVNHnzkQdq7u/zhv/yf+Tv/xW8SSI9pHCO1xtqMLM0Qno+WHtE0ZmF2ntGox+LiPAutBsJkQEK1Cc9/+lU+9omP8Sef+ya/9p/9+0xGXb79refodCIePh1w8PBp3r56h1feWudws8ZkPIRKie4kxiQTcnxu7V7n2MFjTKMx25tDZmdaPPLwQ6ze3cQxGQvLiyRJQlB12Nx6jWvnVmnNrHD06JOMRhHOvjzbdxsEc7NIoZhrzFOp+5x78yWOVO9nfvbYO7vQ/l/U977zC10QmCRYWSKKhwhhMHnxAH/95a+Sp2M2tm7h+T5aWFbvvEG5WufapVe4c/kmJx98hPbuLWq1Gtubt5hbOYkk4a03vk2Wpsw2WnR7E6YTg9EG19OYfIJEIGXOcBAThgFZNibPDV6gGI/GSKnxHQeRa6Qu4btTIqvQjk9zvklkMjobXTKV4wLt7iZCFiFpvqtRVZ/JeEyvcxeT5wirsCbC4FIpzeFXdxA2oVTzabd3mZ2fYdgbgAwIKx5pYohFjucaFpaXGQwHzDQPsdNdY2XlPi69eRnPHeN4mjTKqTUbTAYp1hjSLMEzksWFI6yt3iEMA6JJysn77uP2lSuUai790ZTNnZvMLjyB52vSXBOWSrglgaM0O5trSEdSa80x6F1n4egJ6t4Cr2WvcHjlNBtbd9nr3iDNR8zUTpKbLSwuS8tHCsSmdjFJxPzsIc6/8q+Bd3Xz/31rOthB60WUdIqNk/CRqoK1eYF3ViFCgrCFYb/IVRNIaTGJxVEaJQTTuNjMFvkWFishyWLKYQWtFe1Op9jwjtrMHz3No55mbm6Gy1du8qVvvEoUp1ibwz5quvDFZHiOxgs8fFeTZgIlC1BBkisCLUiswZf7qfCZRTspJnfRjsJOI6qBwzT3CFRGLDJy4RBPE8rlABX4jKOEMCxhjeW+hz/AUtP/IT/9XVhJES6FsYIkTfeDpS0CSS5AyGJDoLXGIsj34Q9RHDOdTBDKIYmm5CbF5jkKhd5fp46ncZ0S1hQNWG4LbLArFOVKnbHwSLPhPqo25zt8VkEBm1BSIawlK7R7SKkpBIqCbN9zJaUky9LCP5R/B3yh0BrSzCDICrz7fklhwFgsOa5fKpo1R2NthBYSoYrplpQSYcB3HJI4Bq3Johg/DAh8TeB5hNonKAf4XsAwmoDS5NOYzMSUyrUCciEkWZbjSFl4uuKEvb09rL0HRznIfSJilqX0+gN2NzdIo5jReMhwNEVJD+1bytU63d1drCy8XHlq9hGEFpPlTIZDoijen8JZXM8t6H9KsLW9waGj7/6H//erQb/GdG+b/qrFv2dKK2pSrUkOHD3F6rm3mdQnLB5eYPF0hQceeB/j6ZRDp0/xZ9/4dWSUEO31SM1hyv0FBnYdPfBZLNfxVYC1OfVmDddN8AMfpVzK1ZSw4jLYXaNcnaPcKuHXQkTY4K4b0d0d0htOUSYhtx7ac5iORyytzLK74ZI7ZW7dWmN+aZn1O7dRWnP17bc5fPxeTFhDqgCbp0TTiCDwkI4AHGSSkGdFVEya5ggipMxxPIXvalr1gGmaMbWGdiIgNZjEUG6A40tcV7K+uoqvi2tI+w4qiWg0A8ZDgR96VCsBynVJswjf+oxHA7769a9SKs3T7axRr5UxaU5vdZO6zankigOzDbzwALOzPsZq7ux06cZ9grkG9dBj4jpceO4CtlZGxZZmOMNw2KFUKbPTjjGJIUozZuZLdHSZg0f6eOXjXNzscOwezR3aRFlOmI/f6aX2A1eW5Wgt9+89FgsYU3ithHCQ+xENxoIRlmwyweSAgFKpRJymdLo9cmvIMkO9WqU7HgOCSRSTxglTJchSQ7NWKxQxwkE7PtWFeYa9LkqA6/v0hxucCI6SRjGNmRbNVrM4wNUFpTcMQlxPIYViFCUMOnv0uwl5ahjSY2GxxO72hMZMg4cfepBJHJGlEXmecezYcbI4xi+VuHLjBscOHOb6pbMop6C0RkmKjVO0dHG1Q78/RhMX8B8hWF5eoddr09vb5eH7z3D79l0aiyX+o1/4Cf7gC1/i5LFDRONNbt9co9U4SHtnHc9b4nf+9FuMUsHPffBxLl67yVgqVDwkSg0njs4Q4lFTDaRNOXb0IP3BiEnU5+jRQ1y/eYfQdzEGkiQhyQxZmuF7Feq1I4yGEcoVmLT4eUFVVUwmExyriHKfWmuW4XiPO3euAh94J5fa963v2VTVm1WSKEOJgJ3NNWpVH4XCVQXv38Y9wrKPFgrhGERqyZVi0Onx5utfJu4NuXbxW8wuVcmMJY1ixv1bDKIJ1cBnDAw7HUoljzwvsJhCA0lCriRlv8VkHJFECa7nkcUp1UaZSZThOobMNYVERVnaewOCusckHtDZ3WBp+SgmSwi0V4ShmQmOAybOEF6IyDwm0Zh0GnPg4AFGky7NuRo2t5SaIZ7UtLtbOPuo3263g0RickMS51RqZSajMVvrA46evofRZMjdtWtMxym9Xp/5hQWEyhjHKcOdmE9+4il29nrUqzUuXTqHr5oMRhvkaYzyNGsbdzh5+hhbW2v4UQk3mEOHFS5cOIcTeAzbQzY2tllf3+Deex7npeeeZeXQPSixhePnrK1usCPaCJFTXzrIxbPfBhziCNZWLyJEwniaUspDEmN45NEf5zO//xu4osbysdZfyWL7y6xJf4zr7JIFdZQT4EqB9sukcYxwLFoWqToogZGK4d4ekZGUghkSImq14pR8ksRMurs41RnwamhHIIVhPOxSb8wxPz9PfzCmXmuyur6KSAYw6vDY/cf5wBOPk8QRf/D5r/DA6TN87EPvJ8sTbtxe53f/6PMcW57l0NISXuCwt3UX0PhpYXnKrGaaK7I8IzASoRSTPMeJR3hKkeQ5cWLRKCaJJZuMUFKjtct0OsWYAu/+M//BL/OB9x9HScsPIervvkqzKVlaTICEgVwkaKkL4p+whF6IMZbxaIAQgjAIKNdqNBp1ArcIwLWOQ5SnWAppSJZBkiUYY8iQWJMWeUkWlNKUqnVSodld3WPQ75FMxyRpRmZytOMShMWmQuT5vv9JYWXReFlri8ZLgJIak2cYkyGVIk6meK5LnqUIKcEkxf3Y0ZgsxwrAGgwSKRVKCYQ1xNEYRzskucFGI6zSuNolMZYsGhaZWlFEnkak1qCckFG/w+l7j+A4Dql0aFbrlIRH3XMQsSHfmrCyvMju1hbac3GdgCyLcZRkaX6WOJqgtSTQISY1tPc6fPNrX2W8d5XJcIAjJfefPsn5F7+O77uU/IA4sYjMEOU5CE2aFO9ZHE/Z3uiTpmlhVzT7sIp9OWR7c5u3Llzg53/xV97p5fYD1UBM+U9+6tf5Z3/0m8yO53APDtlejTGrbyPyGdgKaD3q8ejBDyJswv/J3pvFapad53nPWmvP/3z+M59T89DV3dUTu9mcWpQoimIkUI4iB7ElKEaiaAgcGLkLkAsHggMHCRAHMHJhIwlsWYltWdZEUiIpSiIlzmSTPVWzuqqrusZTdcZ//vf+97CGXOxD+iotAxpa7ei7rINTdYav9l7f+t73ea+/+cfMqhbPbf0UV/e+jG29yROnPJQq6be6nFh5gh987DTDwbjegC4G2LLk1ms7tFc2qaqKh9duErUabEetuvfMhGpwwGa3zVavzZVbHp3+ClVpmE6nTOYz7t7+Ot2Nkyzpgtb2OrPJDK/VZN0TaJ3R8DLe8+TzvPnd11nePsE8NWxstDgYpqRHll6rxXg8JzEh3UZMlVfsjwUnVx2DbE438Ii8AGMNXuhztD8m6cTMZoY8N6T5LsUs59zZDSbTnMZSSNRsE8QJQRAwm2S8fn1KqELOXYgoKs3unuHSOcdsfoBLDfvzB6TDCX4zwheKrCrI5kPM+ICHdyusgECFqFJTHU55oB0i8DgfhlQ6Yme+y9H8Hi4IqMYj8vkMpXzW35vzwhMf51f++Re5sTrl7GM5P751iq1nFjz75E/xlS/+Ck888gPvdKv9OZSo86hcvakKghBDiVIB1tWXNgiJxGcwmPDaN36XtZVVsmJGu5kwm6VIAb1ej0WW4ZxgOM6JVkJ0JWl0Eh55/Em+/dIrjGdj+s02N1+7zsp6jygRNOOYrLBkRcrycoejwyO2zp4i8BTzyZhG0mA2nhJFC5qNBOWFNDsNrr51i+X1LYbzHaKWQhcel85f4Np3P8OZM+fZPbwFKJpJkzhuMJvN8JIIKSSdToOr115nud9BGs0sq8FBgZKkaUYUxSzqWzw85eh22gjpaCQx5x9/mq994yusb27zyf/zS5Qm55HnHuHDz57jO197CU8m7B7d48zpE7S351x8s0dvqc/vfvlbRKEHOKwMiBqSe0clpze63Dk84uVX7nHpsRFRQ3H27CluvHmNza0tDvcPyIv6AiVPNcnqMk8//T4WuWaaZlSLgkbSIE5CJpMhURSRNCSTYo/xvkcc95hMpzx5+b3vaJf9+9Tbeqr+l//tf/5lqKiKBQiHKyVZVmGdo9kM8T1JZYo6z0Q4psOMIPIIPJ9snuGHPsoXJI2Q2WSOFwSAwxlLmRsaiU9lNcVCo3WdY6JwlKWu/U2LFG0MURSyyAqSTkRZVHhCoasKUzlMBQ93H9JbaSEtTMYzgshDmzlK1TesXugw2pK0Q5wDXRS0+xFFluGcJE7aaD3FWocvYT6fErTh4YMBSgrCpiDPCiqrwVmiBigfZpMUHDz7gR8jbmxQZAM6ywmHu7skUQvrfHTumEzGTNK7HE3vMZ8atF4QJj4He0O0LinTGWunlxmN7pGOSx67/DxlMaXT6pBnY2bTDClyGskSxgnm4wipcnr9FvgephJgPK6+9ird3jIowXBwSKu3SpIs0250mc2PiDunOTzaoxF5ZNUB5dwjTQ9wXsIv/OzfeVevqm5fe+WXdZlSFXO8ICLwFXmxoCxTnJVEcQtdGXRZoaKYqqoIAh9j6xyrg8OD2lgfeHSbdXhds91D+ZLRZI5DMZ0NODx4WKOmERw8vEOjf4IzZy7WAailZmNzi5/48R/lkTMnaTYiorjB1toqP/jC+/jAM0/QbnkYDZff8z42NjcZ7O/iqZrQZhC1kdbV+NQwrG++pahQwlKamIVVVMYxzwvanRZFYQiCiHarRW9li5/52R//D1/29y72VA2O9n4ZWectWSy61FTWkGb1Jr4oSvIir31JUlHmJePZnLu3bjGajsnmGYsirzdY1lIZR1GVx4G8Ct+rf/eerziaW46GQy6fP02aW24+eMhouI+uKqCW8ikpj3Omag+V5/loe5wvqGo/lRQ1mVBI8X15jUAhBARBSFlVSClq6Ia1+KrOt9LmeyQuhac84ijBOAeej3XF92+KjTEYY3C6Ip2N0VpTlgustSjlEQnN5nKP5U6LExvLTKcpQRyjywi/AN9AqHxC5dPudGg0m8RJwsmTp3jiyaf56I98jG5vCSEFZVkxm844OBrw0je+xFI7IIlivChBSomvFHGrUb/U44QojAkbCbqyHB4dcf3NN9FlTn+1R9xoEIRJLfVTAc1mk6TVJmq06K+s8sIPfexd26cA33r1c7+s9Zj3vi8h6Bs2l6dsbj/Fe848z+UPWYJoiw88+THKdI83bnyem4PXMX7EdLRLVs4IRR/r2ry28zUWBzE/9+H3E6DQRY6HJp+NaXeX8eKAQFQ0WjF+HLNy6gKTyYKqzEC2me3t46o5pkjZWg44d+EszajCWZ/xKMcYR9Suva8q9BiP5jhhCZWHzic0kg43793BiYiT22tUzjHZPcBXmrIsyEtodzys1sShoBCQqxLfSiwV7TCuZaVB/f8GSb0Z0AaFRzNpECcR2SwjjBPSVJOODNITPJw6dvfHJKpBaSrKeUGru8zhfs7R3oT94QFRYKisRltLqAKEF4OVmEojECx0AdanLC2FXVBojUEzms+ZLApmiwItF2gNrigQgaL3xLMcHBwxk0eMxCtYmfH8Mz+IzS1x51uU+xuYxpc4vLfMF//wy/zdn/+v39W9un80+2UpxfflylVVHntTDXEcYW39jJpOUqSM+ZV/8g/Yv3OXdrfO8xqNpoRBwGg4xmhNXhiyMqvzUmcVIhRcvX6XdiOisprWUgNTStZO9zGLAj8OCKMEIR2Bp6iKEhsK8sLQ7rTY2blPq9Vikc3riJTQZzwasry6DA6qheGbL75E3JRgLMPxlJvX71PlGY2kgwB8X1FWFVtnTjMdDum0Ek6e2iCJO0RJn3BpG61hPp1SVSWT6Yx5vqAVR9y6+mVe+eaX2VhfJ53PWJRzzpw/jREGKSTPve8pukGXcjyg2Y/pLPkcDDLefGMISFa2N3nlrT3GZUEkaz+qhyGoNOvdNqPxPmdW1zlxJubSY6dZW19m/+CI9fV1rNOcPHmS8XhCp9NFZwuC7W3uDsdUVUhlFrWqxoKnPKyVVFVJtsixUhDHEUkYUBYZd+/d4Mc//KG/0r36tpsq4VkWaUUoPPrJEr/wCz/DP/xf/zG6ssznjlYzpJhborhiOkgJ4xBPWLCaTrfJbJriHFjtSJKENMsJGjFoCcIwGs7wVYAMHHEUUOUVMvD5xMd/hLWlPnmR85uf/T0WuUZIyGY5S6uN43WhT55l4HxW2y3aScTBaExnqYGzBYvZokYJFw4nNGubPZzRTI6mRJFP4EPcCLE2Z1EeEAdNhuMJna0WUeLYuz1nZa2HzevBrd3toYsKJ0FZj8XMA+NRlCVf+5Mv1olf5QTZWkaGktFwl6XldUyjTSf0KKsm6aCk09FI67G61mXoTbCVROQBVbkgTw1xo8NkcpM4OMl4co00r6jyOd1+g0U5JZ+WLF8ouX9nQNQtuXDm59l56zVQUzr9FVqtBkbP6ba3aSanebD3Bnk5YD6CpfUJnp1R6oQ719/AD3oEokOjeeYvqd3+4irwJYWfkA126hX4ygl8V6HCGOvFWKvRusA4gTAGXzjG8wXaCZb7PVa6TaoiJ7OCrTOPEXqO8eAhgQdb/W0qPLqdE4zGQ4aTAW/de4t8YZD7t2mEF9jaWmc6OqAsZpRpgNYOX0V0WwnzrKDleewd7oMzXLhwkulkQCjg8vt/mKNbr3O0t0OWGkzTEQkPT1oIG3hVhRe3MTg8z7AoDMYaAj9EHmO5l5a6WOv4r/7e36U+z/4HPFC9y0upEESA53tUVQFhLb1r2BqI4Hl+TbLC1phgFHlpWN/aJvD82jXvHJEf4YUhvaU1snyGQKCUrA3aANaQ5hXSWSpTceXzX2U6HKDLCs/z8PwAIRTWaJQKMFWOxVJpi8J+n3r3PSmfEzVaXIjaayVU7UsqyzrY2hpbCxGlq7OilDuWL2qkVEgV4ITEVjm+Aq0duspBSKypcDiMNhjjsLbCWodSiqqq0EYReYokgMF4RhxIlvobHJgWcauNdLVioZiO+Llf/Hm63Q75bIYf+bTbbTq9Nr4nAcV4NmFRGV78zqukecVSbwNNnRsXNtrgHI04xA9CgjBgMpuSBCGqG3MmjLkQ1F6apaUuYMBJHIYsXaCkQAUefS8mL8p3rsn+nOr89vNsrMbcG3+atnqGsHWa3bsTbrX+iFaecXrz53jj9uco7vuMXcWzj32Ur179PZpLm3jlMkutZcxiwlZrHRE0aMYxNohZDA5YTFI8U7DzYIcw8OrA63FKo91iMj5kdDBj98F9nuysczAcEU6gsbxOke0hvATpDI+cCrlw6jzX7s7IKs13X37A2tYWS60GjdYqV165ysO7B+ztDpHA8uYWg719Ll48Sbbc5fBQY6VCS4sTPkJWpIsCX3lEKBbWsULAcFHhqToLaanp4YWS+Swn6MVEcRtXKhbTlHJhePDgqPYlVpI3DsbMsxK90Dx/cRkqgzMJt944pLCCynfki4wo9vEERHFAWeboqrYIGG1RgUBphVYVCh9JTGHmnHq6y3TUYDZekFWamR6hdzTGSWIjuXfl2xh/TphKyCJOniz49suf5YVzH2CsNM31V7nx0gmC9oRHn2q90632Z64wDNBaY61ESMliYUhTDcLhB5pQSfJSI1VIEHjs3r5JoSsaSYh19aZ5MBgjPY+VjVWODodIF5AtKpJmxCRNiaMY4QtsLsgzy3SxYH93iIem2esyThfESUxhSwIvoBmELHKJqQwn19cBxzxVFFogVEwSB2AtB2nG/uCAD37wGaqy5OWXXmVzfYPlpR77u/vsHR3SiAIcjqXVPm+8coUk9hkcjdFVhZWWf/Uv/gk//z89R1MEKE8QhS2szGkIiRAe2+efobv8J9y8dYtLly5hbc5L377BW7d3OX1yiU4iiJd97t9ZsHP7AUeHR7xxc8oPf/QF/u/f/COCKCabp1zutygWBZ3tHgKPw4ljUEiKTPHiK/f5yEfO0WgsoTzB2bNNZvM5IMiyBSvLfdqtHvsP9pByhX475M69u/R7m1y88AhSV7S6DWbZgv3DQ4Q0HBwMSWdTdKGpUsNTjz33Trfan1pvO1Tl85IwFvhKkpVj/un//iv84k//F0zLAf/6k59kpX+Ws+uK4d4e7z1/ntUzm7iiye3D17l67RbNRoPTJza5d7RDOS1QwlEUC5I4oqospZJcOnueND9ini8QkWQyLSgznyz06bRbnOivcu3OHZwFP5ZM9lOanQTtDM56BL5idfUUH3jfe/ntz/5bqkIgRY1p/3u/+Ivc27nDJz/zGYYP5rQ2miwlK/z9v//f8Q/+0T9iPM45sb3M/v4EQkvoRUjdYP/+BF1AVhiiQBE2QopcE8aKZrBOFCjuPthBV7C20cZ6lkWR0m22CRLFcJiSpZrpbEAYS8pKMt9fEAaGg11F4kn2dhcUhSVphizKgtvXx8SNgMjzkP4mk4ng1o057U5Iu9snHTs41u4f7e+hhGN/J2d49M/AggwTwgAO94eYYAlVTFjkd7l/6xrdlQBjUtLRDr3lZapFTSTqNbtM7o1J7F/9lOo/rawu60OYCBntHuEJSRgJJBInZuA1MdagPIUvHcLViFOrK4pqQdxus9RYxboAL2qyyKY4GZCWJaQLrNYEUiBMhbCG7c0tispwsH/Iw91bjKYrtFsNAqUIAx9faJzTDA738ZXHLNd0Ww1MeIL9vfs02m3CsEGWZSyfvUxRORg9rINWpSPTkA4nrK93yLMFKlCEQUQfn4GZAQGVtcRxglSKH/zR/4StlRBx7JH5a0PVX81Kmsu1fE56+H6JsRWhF6BNRWUdCElpSpxVgEI7Q7+/xrMf/EHKQuOEPc5gq8Msv5eTJI7Fnp5Sx8ORrgeNsuDm9Zvcv3cfXRRgQRuLkBYlHbosKUVVh2HiELYO9XWiHt4c1L5E5wAJ1qKUpNKa72U4CSQoQBuU8kAqJA5rC0AQJQ2UUvXGy/MRsg4LxkmKqt7KOVsPRlJorNPHpnNNqStohgzTjIPhGBU1abRXaQYJZqZpNBKEqG+nvSDgA+//AM2kiXYaZw2+7xOEAc4JdKW5t/OQF1+9wpe/+FmefPQ0cbuLcQ5rLF5VUVWGVrNZ/3w8j57vI5yrNwCVIfAjtK3AabwgwjqLM5JWy4Pj77EoDMrY/88eeLfU1oUhR2+NePXW6zTdgEdaj6O6lgv+ee5lIw57f0Agn2K2/iKTwylXh6+zGlxgOMt4OL3F+qPPIqZdrHyOD26e48Ht6zTWzjIcGwZ3r7K23EXIgFk6oiwsTgQE0xSdbBIIw1is8+lPf4Miz+j3Q8SNXda6IRe0wJSGoH+SZjThyfNrqKDJ+nKHN6/dJ2pEFFVaB/YKiZSGLK2YH+2xubXOt1+8Qj55SOIbep2Yo8OUKoJOBEJE9TLKGVzlKBSMxjl+AEnk0epCrxFTacO8dHg+BHHC/LCkmOc8yHL6oSTyIspA0jzTZvjyhF6nh0sLdJWjkcRthVlY/DBEaoH1BXWSgqQ0BZIIZIESgsxqnJP4TYsvE7bWIg5n+7TXeozzMeeeOUMzHyJPdbn54oin3/9BvnvtJbz1hDZLDAZXeP5yTN+dpdO6xIsglvP6AAAgAElEQVRf/TpRt8NzP/AGr92Aj575yXe61f7MleZFTdJVtU/THXsrPc+nrCyVgSLXdRCwGbOx0udAjVhaWuLq1bfI84qiqJimKcuyx2KRE8UB6UxjRa3OsmUJpkGn0WAwmFIZy4OHAy6c3WaWTihLh7XQXumyWEy5dWeHzYuP02qEtJodxmlOdpCTDnP2xw8pF2OeeeJRysrx4fddZnJ4yCBVnD97hp37+yyvd8E51te2mEwmrKyuczR4SJI0WO43yeY5s3mFCjVpdYRCUOU5VVVhqhKhatJwXhaoqE270+NokVFVFZPpiNMnt1ESPv4jH2L3wQ6j8RGVNURJh25PsrUm+eIffo2LJ5doOANr6zz2wWX+zb/8NrOxRRczTvdaJK2I02fOsnPnDQZ7B3zpC19hNB5x+twpWu0mZ86e4d7dhwhMvZ1bWWLmAorc44XnPkxZWnynuHHnKoXOWSwyLp65RCPucOryCYaDjEZbMh6NePnlL8FP/fA73W5vW287VDU7Ib4vcHgsyilFnvHbn/ktgjig0RLMpo7DoxuEQrCr7/HoxUf41U9/isefPs+iqGg0LEutbfbH+0xNStgI8P0QX3pcuniGb7x4hUbcp99vszvY5eHuHr4v+fLXvoknfE6sdphPC2IvJC1KhPEwRYUtBCLwmU9T4kjw1s0bHOzvIzyF1Y7KVpS55jd+8zMsLyf4gc9sVqIryCdT/uDzXyOOfPLYw2oIQsVkMkM4yZnNVfwlnzuTOzgpqHJBYVOcc3gu5M6DBzxy8TytTkKZFThX57OYSpNOwRqP+XSBFJJGQ6I8j9R5VEVF5Cu0NihfYgqHVD5F4VDSQ3h1gKzWFZPpQw52p5jKspjXZnRTAcLgKjCiPuAEkYf0fWxeI0CRkiovGQ12SYdjvCg8zsNx6EIzmRb4Qc5quEzGjCIdIM2UMn/wl9Ntf4FVWoNxhtAPabWaSAG6MAihqYxDeAIvbh3nHDgwFY1QUekaGCEChTMOIWE4mdFKIoQKqeYTBvM3abY7lGKZioDQj6lMhXAlZbEACaZ6SCM6AQRM5wXtZohxEEchzgraDUWuAVESNpfQumSRD+osCeexeu5RZt/aR5sakqEkRAFoXeO2faVqaZJXEXv1Aa4OSVUEns8LH3nmGNDx18PUX+VyrkY/YDTOgROQ6+r74AjrNAJHPS+pOqtKCAJn8UTwfcJkzZaU9TAlHVJC4HtEcUgYxcRxg6IsufL6Fb76zZfJspTKaMARhiHS8zFVUQ9kFqQ6HpikwAhXE/2wYOp/yZMSfYz/txZqYqCoM2GMwR33nXUWa1RNoLKOqNlAHodiR1GM9GvQBtJRGY2nPExZb3UEIIRXQ2ScPR7oBIu84HAwZrXdoBVLDkYjhrMFurGG2T8gm2fMsikqnxP4Pg5LFNZ5X57n4QlJaQzZPOXq1Td48/UrNKKAbrOBFQ4pJLrUtfxE1lJ2KSTCQVWVLLIFnlS0222iIMQ6ix969QbOWTR1SLHwPISrN2xe9JfdWX/+VVjFbvkVktYSu0eCS3KZdjlnOi1QG19jOn6Ktiy5ce8Wo7xPcz6m5QacfaJENyUnVq8wtI+SPdggzOfszApUPKDf9qmaTaQS5FlKbixLvVVE1KPISk489hxBechG6xS3v/kNTn/gUXZHFX66R2kkzo/xgwA/8ijGexid09m8yNl1n9ObT1Ea+Myn/5hcGk6cPYGj4q0bd5nOp9j7JXFvAz0B7Sw+EhzHobANPB8qZ5mnFZEzWOXTCC2VFsxyi5wX9MOAOPapsDSaESLwqWwNfTHaYajPIP3uFg/vPSDeDljYiqV+l0U6Jmo3aUYB2Tjl7iBDhgLrVJ1YW9r64gOL8hzCqZoUaiFpC85fXOGtWw85nBia7bu49hqUu7TCgD03wV/1OBoO0Ispy6rPrWvXSbYr3rzt8aFzlzk4rPiPn/8YLz0Y8M2vT9lqOq595wr80jvdbX+2EtKjKHJ8ISnzBb4foLzao1wWJcr3sAacW3Dr7hUmkxlxFDEY1HJjpTz8QCCyDGsN1lT4XkAS+4xmWS1rDnyGoyn9XgtPSSrtkNLj/u6A5a7BD7oUtuBoOOLE5ip5Na+hV55kdzjm3oMJzpVIVUtH54uc4XiCNpbKWPZ2B6yePMXOnQecP3cCGXjs7R1x585dhJAcHR3RbDTYPxjT68a0Wm2mszmmqOh220QqAOEIg4SycmRphrYB9+7colnNkEi2trZI05R0nlPmQ+JEsCgGpNmMyoKxjqTRpNlsIWWTpDWkKFOGD0eMyyPiBwoVeEwnU+IwYDydYJgxGEiyVBP6hvPnL3Dj5pso4eGc5P79+2xvneTBzj2azZiw5REkLc5cfpaDowGTyQ5Ho10q3+K05UPPf4xW3MeTHgdHu4wm9+gvP0MSeVy61HynW+1Prbcdqh55ZJPldpe0WOCqmmqW5jkaiOabPLh1lwhHrg3VpOLzv//7bL+nS6kmXHpmlcpJbmdX8Ls+690+Uoga06s8HuS7bD22zL5/E1EKXMuw2lkin5XsvLaDFBCFXeIzMeuig3V1wKWjDnEUCJZO9sEp8nSBkBlB3KDpNEr6OCdI8x2KTNLZCkjWFAhL1Iz42pufo99bRsUhQVhyotdi0IJskXNz72V6jQabW+2aCOeFDEYj8rxiNkmZjFJe/s4RJzd7nFtvsNAOhGN9qcNwPKOcZ6x3IhKpmKQpXhIgew3GswK7KIikB86j2VAUVX0zJeOA9nLENK3AGgKpsAtT3xoIyOaGRiuhSFMq52gEXn2L7CzCSJJ2ROgptPEBQxL6yHZIf7nBrTeHVCbBl5aVlTZJQzFfzCgYc/O1+5w7vU46aPzldNtfYKXpjKosMZ6gv7FBgOPg3l2yIie1giSM2TjZrtPkpaRyEiUdjUYDheBwf4C0jqXVVbCGyN+g2V3FOI/7t26wNxzw+tU/YuPENhfOXSCyFXme8sj5swwGAx7s7lMsNI1mk/VtD2xEVZVIL6DTbuE5iygKNILYHpHqEGdKhAoRNqUbRJx6z4dQQjK++XVssSAIA4qZJm5HaCNoqIokihjnjlhETLOcfrvJf/S3fo5ey//rgepdUEKUdd6TcwgMgQiOh+Hv0SglwpMEfghK4jzBhJJhNeawnDE1cypryK0GFIEISVRIQ0UkQrEUBCxszv10j+5swVvDB3zrxRdJsxmm0niBj0BR5fmxX0+i3bHU0ILzFFEQkhcFnlIAWGvrw4GofWBS1sOOMTWZsHB5HdxLnfnjbEWe5YRxAM6ihCQKopq+iaDX73Pw4D5KCApdb+2kqulV1ur6+S5qX5YThnlZoZTk+r192qOM0pQUlaCQ13j04x/GrYYkqs/7z38AYx1CG5TvEQQhtbfLMJ/N+eIXvsiv/LN/iqly/saPfYTt7U3iOK6Dio3EiQJjahS89GvUuh8GtFsdKu0otcX7ng/T1TJcKSV+ECARWOEwhca6Cq2Ld7DL/nyqe/Qoz65fhB6svX+bwuSkS2NKLVlf/0/59G/8P+zba7zw9H/JaP6Q7bWfoxWs8MaVl3h/b5Odbx3y2JNPIC/Pmdy6QWUD0oM7pJWm22threXo4AHbl55k8OAOSU+yvrrE6O5rrJ+9zP7dWzz63suY6YCzJ1forz3LztVXufXmW/hhTDOEUCzwZh3KxQJpCvw4pnXiUX76P/8JHtzf5VO/8wUOjoZcuHSBfDZmdzonOc4QNNrHDxZ0+wHzaY6JEowROGFJnKCoFCNTUZa119o6w62B43CQ0+xHCA+cm0IREcQKO5fgJFYKgk6Tk+fX+PDWY8gyI24KHuwcoGLJZHjEg9kMYyyVc7hOHYztAoXViqpyyMDUABqbE+EhPEH+oOTa7C7Lz0a88XU40Vgh6h7gV02W1GWycsSkeZ07D3d56rlNzvRXOdwZcW61x/noMdajZZBj/vCz3yHpnuTJR19g78YDtk5tvdOt9mcuVzl85aPzOjh9Mp4Sxj7zNMNTHhTQSCLCwPK7n/p18sywvtnC83waSZNZWrJ/sE8YBeRF/TwrjKYoC8K4gbKwyBZEUQy+rHPUggpjYTZNuXzxPEeTCfM0RdDgaDQALEkcg1PcvHWfvNBIZ4kTS6vdotHZZjqZ1vmCvkKGTQ6P9smLnLfu73D+7DnarTZBo8ny6gqmKNjbOaC51KXfX+L2rXvESczq2iYHB/ts9kLmFVhtCaM6VmKwu88j5y+RHt4njBNCz3L79m1arZjN1S3m0yGzBewezQjjhM2tE7x16zZZVuCHChV5nHv0eVr9W2zqKTpb0IkDdKnpRT5La11sXvLqGwPaoaPVCcmKBWcvnuNwf0BLeVRlwXhyyMkTZ8mLlDt377Huv0F+/gkGwwFnz56tZa/GIZxjePSQ/XKHdq/L3Yc32N66wI27r2J0zmA0AD7xTrfb29bbDlWH8wnDxRzPq7GxvvTRrsIhGE5SyAvwFKaqauO1cCwlLQbzGU4pGlFAqUtCpQCfhlPMqwwPReIFyEgwpaLSlsl0gdMl2cQQL1kckmCpRrrjLMbUN7HGlWA8wOD7NTyzFcY4Y3CilnQFnqrDKn1FLVHRJMoDoWjjY0WEtBVh06tfhK6gm/g0ncLamsIlAOM0lStpteuPIRWn6GKotf8LWwGCUhfkZUaWFJhKs9CSnax2YSezgotnzvOP/9v/hjzL+R/+4f+ItrXvzHcWH8PJ1S6745RAa85u9slswYVTHYTXxI88du9njMYzlvs9ts91Wagx6WzCyYstHBZjQYg5QinwElrLJcYGOKN57AM9nHTcnkiCrqNijvUcysH59zbZv77DyiOzv+A2+4uv0d4h+5OUIGxwrtWikj65bPBwOKHSFedPtvGUqJHlUtBbXmU+2AUBUdymylPKLGM4mdC0FYtFSqvVodFqcvGJ9+BsSZHOOTg6ZP9gl9BzLCVNgthnIAVhHNHtd7FWk453mBwZPOXT7SwxsgV+0CbXoBAUXg9nchazMXvTHFflnDmzQn40QsbLrDzxMTydMd+/iTm8A2WFkBFeo4WVgpMrHQ4yR395m/bSJh96/nRNN/rr+itf26dO4xA13rfexYBzVNZyPxvx6vwO03KPk16Pnmyz4a+w6Xc4JZfxhaiHDQfHwH8kAuMcxhkWZYpxEinhqcYmWTDm3uwm6XSCM/b7l1FGL2qEu65RxA6BcKIe5sKQylgQsh4ebC0l9TyJ0ZY60L4eAr+nPjQGnNMoz8NJcNKj0Wyijw+vDoc1GoOi3Qg5GhxSaF1nZB0rVXWlsQ6kqsM7ja3RG56skfNZqYl8zcPDQ3JtsQ5WVlYRThGGEZFU7IyHWFNghEeRFYikhUOQTlM++anf4U/++AucP7HGk5cv0Gi2UFIRRgkOCarEq2qAjVQKz5Mga2CMUuCEq7eEnl8HfQoPh6sza44DnK2DbJGC8IiCd/+q6k++8m2e+fA63752ldX7O+ymD1m8eRbrwBSCZiiJkwavfv4bCOlx3+4zTjO85llOn/aIlWC+s8vjF9YY3pecXlU8vLmDQYI2xOESj37go8higTr5OE4bbrzxBk996CMc3X2TyG8ym+WU84pnnrvIrStX2Hr8afzbV4mbXez8ITbLWL7wHoQUtPpbTA4OmO3vUC0WNCj5pV/6G6homZdfu8G1G/f40ue/wL27twk8SbLeIU8PSELL5Njbh7UIpZGBRyBzpFN4tiLXhtmspHAJutSk+QLVD1lUGcrukVeSYKnH3/rhp2jHMbtH+wyPjnhQ7KPzktRYpBKIMGael6SLOaEfI4HZXKOrgmouaAUhWhsC6VFZi/ACprmjqHI6TUmRl1zKu/zkx9fRw2WeVU/iNTza3RN8+KRhNPsQr9y7QhSG9GzE33nhJ9l65BF++1/+H6z7K+w8HPChj3yMV17+Ll0XE556hOlo951utT9zCQvOOHSlKUqNF4U4C1EQU+iyhpjNc+5ee4VvfeVPOLuyiRIwmUypjOHgcB8hKrrNNrm2CN+i0xynLVmZMsw0vhI4DOl+jhJQ4tCuvgz67ndvs7HWI8IyHpfkWYYf1Berk0owzReERcnuYMT+/iFZapAe/O2/+VFaKys0Yx/jW6qJJmk2ePT0aYq8HnQavkfgLKrdJIxjrC5449WrbJ08wf5gwvJKyWJa8NqNa2x3TqJ9j/F0zBvXr9FdWeHB9SuMXv4cN1//Bs24S7fbYXPjBF6gaXgxb157i3anwf7hBLD0GgGeF7Cx1IRAEngFzz17ltnRmCtX7lLlFQelYF5VCDI2T63xvrMtNraXWFnqMBrPQcLpC32ODvZZX1/FYjia7AOSlZXTTAbfYZx/grJpee2lV3n88mVakSKIYsbDAybTMU7p+sLKwWZvC8+POL3h3ulW+1PrbYeqKIhoxiGBpxAOjKlQcgkrNL6F+7splSmJ4xhjHdY6kBUby00qW0s7sBJtDYHnYaylaZNatCIUSGgYQSk1UTehrCLOrDdxpSZ3NWvaOIfnBfiqTnLrmAbGE2RVURs5hcR4BiUU1fEtozG13MTD1Tp+IbDu+AAjBJ4AIR0OV3++AlsZQgXOq29v86LCUstBlJI4B8ZSv1htLbcRspbDKF9C7IibEVLVPgMlJEpIdq5MePPKDf7oi19nrb/BC8//EP/8k7+G0eD5NaVroH20FXgBXJ8fUGR1VoIS9ddfzDyK2ZS9xYT9h5Y4DnnPmS3K4YJ7B3PSxYJOp0EQCVp+SLPy8AIPpwxWeeBb/LiBp9yxpMjhKQ/hDIPAp9969x8AvEAhEETKMTvcJUxi1tfarKy0a9qOH2CEpCwznNFYfMJmm/FwRikmFFqwkAnMJ0zncy5eOIMe32fnfkFr4wRB0qPbatApU/bv3sRayV6zxermKmdPX2R7c8He4R7zNGMwWNBZbuFFLbQRZIMjXJgym07xow6bq6v0OpL9sMVs9DJv7Y2IAoEXRiib8/D+LZ689AhLrScZdDoM7t1AC4lPRSBC4o5HFTR49iM/wfve/0Td439d74r60Bf/r/oCyDkq41DWYX2PjvTwQkU3TriQ9FiO+sQmwRMtcAH7iwWVsxTOYK2jMBWF01hrKKxB4ugFEQKLFJZVFfHSd6/zud//Imk6PZavBCgvQOKojMG66t9thZSHpKb8SQFWiPpw59ckTAEoKUHWYcHWWpC1/NBTFuMszoLnx4CgLAu0rTClAZeiqwKDZD4eYqylqiqcs8ebIYmQFin9moJ5nBMnpSKIfOIoqXOlcn0MvvBYWV7hb/9nP4Pot7lycAecx2yRoqQAHE4FFHnJdDbnDz7/h3zjG1/n1MYSp86c5OT2FqHvIaRE+R44gacVwldUxmIAQ/0eCDxZUwydQwUevu8jLBRFRlnlx7RDQRDE+ErS6fbrYGBTvZNt9udSK4+Pub4zodkKONIKz7UoVYXJHSZ3NLwIZ8DaOmA+n2tOnX2Ug91b3Lt6m/VzT/PhH3mW69/8fVw+Y/fWK0RNn0AFdHobLApDPpnQXm6yt3fEYjxl89wP8O2vX2Xtwnkunlpn/94OxTzjlS99gQuXn0SZjEeeeorBzk20DmitXUJPdhBBwtH4gChq0tg8j1I+i8oyG2d0Vw3PP/8kzz33JP2G4NqVb/Piq/eYFgGnT24jKsvu4S0GYw8pHJHnWFlqkpmCCo+o7RFqQ9SImaQVk4kjEAVLqWBRWiYLRcKC97x3m72HRwx8SNMFYZgwHE4pKUiiJou8Yns9IRSK2WhMaXKc8LCioCwqIt8xLKG/1mbpVIt1EbHS2cALQrTTzMpDGksZy8EzZNMxlfT5vd/8HJ6ErQsnOHXuDGcuPMpT62e5d+cuX/3mm/RXGzjV5rkXPsH88AHnLlxgmqa897n34IWKR9c3Gc/f/TlVQeRjc0OjmZBYS1osGAzHtDodEALnLIHv8cnf/Qye32QyGxAky0gvYjAeEMYJP/MzP83v/NZv4o7Jpt87vkscsVdfaGXakPgKaRylrVBC1Vt2FTKaGELl0wgDyhJObLU4fDjEa0c0Wh2uv/kqTlY45zEZ5whZYi0UZY7FYzrJyUZjwuTfqRe6S22GgzHlQiPyBft7h5w8uUUYx5RG01/u8PDhLtsnTvD1T/0qH/vZ/57FKEUIyaXHH2c8GtKIl5nnA9qNHlHYqGnaizmqrNUAyxsncXpOM4moqoKk20W6BUESsdpvMry7x3e+O2MwShkVjqm2BK5gtdvjyeeeRArDydNb7O7t48sp/aVVnDPMZxMuXnoCZyuUrLj+xnfp9/uEPYOXKu5/7bfYeOyHee8PfJB0ljIvSorplLXeFo9deAyE5OhoSjMJacU9wlARhuE72Wb/XvW2Q1XigdWGtCyQSnFwOCKf1fr3Kq+Y6ZzEkwRebXpe3u4QCoUuDN24QVoVWCGIpI8nFWEkazKZrQPatDEQBkgRUFmH5zykkwgDUVRnYllpyBYFYZAwnQ6Z6oJYSWK/QSU0wtWBb06AdLVZuyV8ZrakRBIGAYHvk6UZvlIU1tTAASXAWbSw9SHCCqTnkVUVzgiaoY+2IIRForDWUTnwUWhhUMrVhwoH1qn67/AE6ti87StBqQ1VDuVsxr/9N7+GEoq4rXjuvWtY7ViUmiLTZHnFdFhQCkExgpVuTYzLc1c/5BsFrV4Dn9p3lVaa7zy4h7WWdjuk101wpSOdFcSRRRrB0eEBeVExLwyeAD/w8Q8szjhWe12McUzTnCUV4h6++w/lSytrhI0OQRiDqXGcUSMkCiICH3xbwx+qSmCNQAYBSbhEv9IMRiNcmWGrGiutlCLwBfHKCbx4yGw6wFYVZXKGVquD6xeMxyOGowme52GNoLe0zOntUywW8/rPgwgrBLPpPmHcYH5wk537Y6I4RC9OEjSWCJVh/cwFRtOMa/fGbC+FdLsRZiEYZwWdVpOks8p8aYGe7SGlwI88VNBmY+k0H/6Bp44Pxe/+39//b2o/Za+cUXgKqRzaQpzDoCrwK8eSUAyF4I9Cn6VmgyfPn+KHTlzi5ZevcG2wRzcMsQgC5ZMkIc04JJSKSClWkzbbS6usRU1Cqfj1X/3X3Hj5pTqUMqxlf+XxM1kpidYgXH10UKJGqBtnEUKglEKpCOEcvh9SGY3VGiWjY1iGwJg6CoPjAQTqLTBAFIaosEc6GeCsRWuDtSUYixG2hj+4OkzYHQ9kxmqE+B6AQx5v0yzz+RypPJTnIbUjjAL6/RXOPfooNvB5af8WHpbSOfJFjvADEnweHuzzypWr/Nqv/yv6ieKR932cXn+VMIyQwqFUUG/6nUMjkJ4gisI62FMpPKUQzuCqkryoEe9W+URJQhSGeJ4CVcNwoJZyV0JjNFjxtq/Wd0W9+q0xF5/pstp/hPsPQibFVfrLHQZ7EwrPMctKTFDgOwuVIS1z9nZvk9kp3fbjfOxHf5SVfofX85z7d67hSo8LZx6nnM/Y3dsnrRztzhLFXs6JlQZ30h1e/NJnSaeGp59/nEVpiNtLZNqRtGLu3LxHR+5zL/eQvsepxy9TTgaIsMn0cMTapadrAqYDvIBes0OlS2bTCZE2NLvLfOJv/iQf+bFPsPYbn2JwdMCr3/wqOh2gtaTdEkgHzuSkhaXUAWE3Jp+kKA8asUOLEOkJ0syxKCGdlaxv9JhPC+7dfcDGxgqHE0NaVizyERrLcjthf5IjkNy+fp/eygb/L3tvFqNpep7nXe/7fuu/L7V3VXf1Nt0zPQvFmeFwJA0lgbYoKjYMa7UTR1JykgUxciDEAQIkgYHkNIFiGz5IYgRBbEWWFAtaIi4SRXIkDslZODM9M72vtW///n/ru+TgK1LICWmAtoaT8AEKaBTQ3X9VP/3X9zzPfV93mjsoNSoMKF1BLfApHSzWPZ69eBnCDn/0lT/l/MqMq1fWuPhkj3O1ZaaDZa5/602WFpYYHR3TefZFltdWeP7iIrffe5fjnXt88QuvIZnR6i4xGw45PNiiXZcEYQR2xqN7j1la7tMn4v335njhR79XsyIj1yVW59TDiGa9jhSKyXTG4fEh66vL6NTwK7/yXzE6vMf/9o/+PmlaViArJxgMRvyL3/xNlvpdBqM5eZojlCSs1ylchshzlJL4QhCFIXmaEUchwrjTqIaCdJ6yea6PKGb0+j3u3zuiv7zE4tlznIx3uH1nB+dE9RwsNZ1elzAIEA76Sx2arTY6TQiCgIePHnLx/AZZOSfPM+IgBBy9bqdazkqPwXDMuc01yrzO0fEuw8kx51/+FTQpJ+MJ55fW6Lda3Dra5iA7IC0MaTbi3Pl1RsMhcdxgPp8zzkYEMkc4QRAodg9OUH7Eq1/5Bo1Oi8NBik5LlOezd3+LaQaX1tdZ3jjH1smEuufh7xywutIjjj0EEMURi4sdjo+HTCZjzqyt8/Rzn+Bw7xG33nvItY9fo+smXL1yhcnJgFE6BSeZTCY0F2uEKsTzPPqbPYLIUmTVocL3f/AVOd/1f5MSjsiTdJsLlLokkJJywYB1NHyfAk07aDDO5gSeIJYBQioiP0JIQV2GGKMpcMzzgsB5IGBeGJAeTgi00SgBSIGW1eay1IaWgrQo8aQg9CJKCuJ6zNJSD+kqk37uHLFSCKkYzUcI7ciNYaZzkB6tIMATAq0z2o2Q0lbkc18G2NLgG0dhLYVw+EFc+ZmEIFAeUlUXHRBEyqd0BaJmMUIgtCMtNVYpytIQSIlzBl96GFwlD3QWVypqHcngyJAfn6B8y5PnVmnHPqXQtESIcwpso0IWW43UPkVZYl1Mkpc4bfCC6sQ8GObY0kLhEL6lGXuYUnN0kpNrQyOKyYqC3Df4vQBpfUJtiYIqPPbBcITDsZfPKQsDFqIggGL4V9Js/zZLBTFNVfk2lGrgxRnuFAZgqWNVQSA0hQnQ1iCFww8jmgurDAdDQs+jLDWNziK2TGnWauSzAWUy4WgkuLwUE+kTRH2NxY0GK5uCVvTq7QYAACAASURBVBQyywqSZIrJpmRRjB+3iUt32muWXrdHkqWEvqTbbeJJi2ePUXmKDGrUlcfTL77Enetv8sGDXXgkWF+uIz/4JhtXPobvRzRXryDPXCY/fA8RNpjT4ld+9ZdP5Vc/HKg+SvVCu8NCuErkhXi+ojRwQhXke5RnzEzJIE+ZzVMOkjlvfP2b/M7nX+UpLfhvfv7fpxbV8LyAyIsQvqh8n0LiK2g2298x3b/93vvcvHETrQ14IULr0+tQBYGQsiLVlaVBqhIhqvcS5SmU8pFSoXVBXGsilSKZT3BeSBiGaGvwg4D5ZIxxlZeBbw/3QmGtxigfp0uUH1Lm2elXLxDKI/IVxmis0WhjsFae4toFuMrwL2S1IKsw8wGep9ClJq41WF/f4PJT13j22R/BYfm9d/4cY0vyXKKlouEHlEazv7vHP/5H/yOjk0Oe/NTLhFGA9BWFLvGVRCmHMwYlqyFKG0uRa7SpSLVxGBBHMXEU4vk+2thq2JQCazU+PsaVCAwIVSHoraCyzOkPs83+jdSv//1/yJfe/D32j7fp+CF+fZHD2oSVlYKvfWHG+foZkvEUjE+WJiSznCzT1M53WVnvcf7iJoPdB+zdf0wgB7SWepwcPWR0MuXi1aucOXcB7XyO8ia7D7YI+pKL3iHv39rnq197l5c+cY1iMmL97BMIoXGjR7QXL6LGI2QQ8N433+HKi88jrUV4c8IgJk1LkmxCqx9RegWz6YBavc7BwxvkqxvU2ks06jV+7dd+kdl0zu8sLPD6F36fNDskLUoCoQhlyDy39Lo+eZ5jfUEYVOHPoTRoJCqQOAO+0OweDVhZaCGFZHwyRhPyxMvXuP7GTZ47u8yj3RGf/PglJpkGX3Np9TwvfuwZXr3/ZexJkxdeuMZyb52l5VWwGfNCcPfmbX7psz9Lq7PEa3/xRV588ZN8/vNfwAtvc37lMlk6YlJq/sv/4te5fXuLL3/xd9k8c4F/9bu/w+HRCX6seGVtiWuf/gwPt0ds7z3m0qWLzCdD2g2fT/7YK3SXFrl39z67Wx99UNVoPEP5PsYasrzyjzZrdfrtDsuLSwxPDpmOhxTWQtyjtNXyfjw+QecZrXqNxeUFBkdHpFlxmp1naTVrHA9nSOnhTunBuijwAh8rLJ61WAR+JYLCWIkUPtMkZ2Wjy/hwxMLZMYGEVr3OeDYlDGJ67T7tpiJQ4KzP8fCE3YMTVvt9wkDRocNkMiUMQ5TyUEKxtLLM++/dQFvDmbU1vCgkLwpGw4R6A/r9FgtRyUAHRKHHqJgQyyZpMaFl62jf56lnnuDkeEx7YZnJZIwMA7pSUGqDIKLdicjSY3RZUg8bzFJJHHs83j1EIFEi5KdfuMRQxMx1wWq7Ti3w6XZjBkdTag2JMSPanRqFiVlaXWFtY43RaMrhYMTGpScJGz2SaYl0Ax7ceIv+uYtsdFZ486032T8+4datt/jYtVeIQsVCr4cxlTwbp2i12jxB+8Nut+9a33Wo6tdbaGuIfJ9xNqNbj8myDCsd0yynKEsKc7qxFILMGpSVHM7H1KIYX3rEYYzJC3phjFWSrMzx8Uh0gadgudZikiWEQUBmckpdYo1jlmU8df5J1ldWmM2nXL9znVbUZKW3XhHtdMnW4Tb9lXVKp/G9GrNsSoQjzBKkA+2qATB3gJXUgxCbF9gSYhki0GS6wIs8nBMIqXDGIzUaW+aEfkAsPIwwgEKXDiMkvnMEfkBqKmyxNtUZWDuNdNW2Cwee1CytR3QWIiw5Ueix0K3h+RLhgiqgTgY4KzDSVA8nqkQGEoum3gqJVECpDdYZOp2g8jU4D08GTMYJUeRR5I4kKekEAVnpmCQFg1lCkevKdG4LstJRFBZrHbNpgRc4pFEkRY746F//0TpDOIHvhUhPInV4SkkEKQXGeRhTovVp0CgFOoxAKoQX4FmDkwbrHL2FNjJooLwxQeijixnJ8BjV7iGprlDK+nTqPr7S+FJiEKRFim8tVkk8W+KEwjhLmc1xXhNPDNDG4SsoS0tcCwniNmjDxatPIr2AR1v7HJ/kLLZhPDgkDANk2CIIArxak4OR5IWf+CS+/8ML1UexdvsR94xmrlPqpUeaZezZHFc6kjyBUiNTjZ8bWkawmftcDOt8+qknaIbNamMpqtuI1VCWOZmuru2m1AjlkaYJf/z5P2EyGmEBISWlLuAUw+6swFRneJwEi6jkbUIihCIII8qirMKBgwBnLVGtgc5zlPLx/ajCwlOFNTrrEAqkrAA6nucjhUBJiXacUg2rYGDP8zmltldUwFNJ9bfx7YjTLCwHqOpaJX2/cp8JEIGPtpaN9Q2CMMJTIK2j5dcYFRlpklGPa0yTlPsPHzEdHVMWJUsrq3h+dAo7AuFVyHaHRGvLPEmRp/5bPwwJPQ9feRjnEFSZXdpVRupqeLKnsBGBq9KTq6uxFFhThc1/1Outd/+EJ1YuclJrcuP624jgmLXaM9w7/hbGBCxfvcDD6+8h8glpBqnWeKZJp1YnDkMkjsHxIVoWyDTHCUeZWVaWltDa4+H7bxDGy9SXz7B5fpHFtT5HWzVu3trH90Pu3dxCSc3hybdYOrdJPWpRHu1Rb3WZjk84d+lJstGEznKV03e4+wClAuJGi8JAfrxPENcx2tJsd7BpQlJuoxbXCeM6YRhRjzyk38STx6AinNNoZxBKMJtpfL8CtQgjEcojyQw5BVoGCFVSFJIgdAhhKJxFGEt/JeRTL/w4UVajVSvIQp+TdMaFjcu0+y1cWpC4e5w5E1P2O3gu4nhyj1AkSCXQpkE9NliruXn3Lt1GzGTvEetLK3hxws0Hh/jGkpYJX/i//5h33rmDL6Y8vH+LxupZ1pYt7TPPsNTusnH+KTYvSIYHj+g0I7Z367z57g5Hv/X7LG9u8NSlNc5euvBht9r3XUVREPseRmvCKCRJU1SSopRHQwgkHr6vcMYwHE6xMsI5yEtdSZ49RZ7lWAdlUUUr5KVhOBwhlKxkzEAUBWSzBKkkUT06fQ9U1bIqtaTzgpkpyPIZZ9Y3mE1SdF6weXaDldVV8u2CTqeFNYKlpT5JknB24wx+AFk6p8hjZrNxNUxoi/AszWaNk8MBSyxSlAYhIcsLGqHPzvY+TguyTKCN4P6N12k+8SLz2Yg7D05Qfg2jFbXAQ7ebKOUTx3XGownJfEp/occ0nVaKAyuZzyyH+wcUhaXTapPMMkLPAyTaQCuUyGabICkocMyyElvkdLoerXaT6WxIHDdpNds06tXiUCifWtxAnr63ex7cun6T5567gsqO2d4JiKTH0tIKnd4qtZpjOCiYj0fMsxkChXEp0vPp6R5w7sNste9Z33WoWog6+IEktSWrjS6+lNhaAyyoTjVMzLWuMlbykgxNqEKWgwCjCwrjqHkezuRYAbHn06u1SLIEZiWe8pjplHYUUQ9qzAqJ3+8wnxc0wsusdS9wuHfM3u4Er1hlc/Mi79z/MzJt0M4SWMXe3WM6QYMSTYkl9iNiGZCbhDLXeL5PPagzSscIU2Vn1msRwglMrIhdnU4YMi1mZEUOAhoiIioEuBIXQRD4SKdwuvIrGAPS9+k7icyrjatzhklUXd7caUaJFzpatYjSA2drYCS+8CmNgVJjNTgl8TxZ+cyswJxuPAUBWgtmhcaTEt8qCiqceuhVhK1uN8BaiEJJoxNirSZyjpassUYdz0mMMSgpyE8d4b6U5GWKsJJRmtL2IsbZR1//77QBP0YFDYTTeJ5GqODUE1dhoJ2SkA9xeChVIoTDWUgyjRcEZLqkF0UsLy2hkxle1MZ3gkubNZJZhk6HlONDHm0dcTzVPPP8J+j3e7SbXTxdMMsKZoWl7UO9t8JkdMx0MqXeWiIQEEYt8vmc4+Mj1s520YUhs3s4p/C8Ns9eu8jlSxscHBxzPJyy9cEHXLh4gX638gkGzSdYW13mx3/q+R+mUH1E6z9tP1UNENaghIcSHqGqNPxKeHiiuiAp38cX1aAitaneE5zF6sozZITBVXMR2hiKPGdra4vX33iTP/vSn7K1tY12kjTLKNIUZyp1gNYajEUoVaHQrUUoeZptBg5JkWWVT9SJ04EIonoL1XCYUmO0xqGQfogix488ikKfDkOOWlTHydM/02mElDhd+cjSdI7n+cRhpWIQovJwOaWqQeU0FsBZR+CfboetQ3keYdQg8CKatSY/+uOvABZnBdpYhqbAeo77O49p11q8+uVX+a3f+i2sEYRhzMaZZcIwwBpNURp8T1GcAjhwFWZelxqJB/Z0cyvVqby78rgKqbCnX6M11VCoT1H4whkKbfCUwmjz/wlwzMPR23zj/iH3ru9x9lILX8xp2T7ZfJH/4Tf+AW+++yV2htfZve0IGh5PfeIFPv3yy7x253OsXtzkgze/zOPbt5gPtzm32qHIU6Jmk7RwuHROUdSZZbvsPH7MwmKXZncRGj4rG31OdrYJzvapLZ1ltH+T9K3rXLzwHM0rL9Bbu0h7bcZksMvJzjGFE8hWj+nUcXJ0C9Ihm0+9wHSwzfLZyyinyeYnWNnCCcd4f4/+xnkaiyv8/C//PB9//hN8/otf5Iu/97soU2JwhJ5CYlF+DZHPMBJCpeg3Y7a3hyjPEUZ1ZnmKNI44qGG0Q3qWyA+5desh/cWIpbVV1sUlDraHLK1tcmbjLIP9HY6vT+mIkMTbo9UMCMQStaDGvf1DtD8nbHWoJQkvffxpHl0/4o/feI3Lm88St2qc2dBcWn8R5Upu333Ep16+gEkK2v0692/dYzJf49KTm6yff5KVtQ227r7HvYdHHN65x807t/jl//Df5Q/+8C8I9w+ZrZzn1X/1v/DKT3z2w26376tWlpdIi7zyaWpN6IeM0xSpBJNsTiuOcAgUijPLSzzzyc9w/xt/hHVQi2IOJ0OKLCdLM/JCI32fUAaneX+CKPIpy5wyzWi1GjhR5eCV2py+n1tQgtlsSlqUhCrCwyNLR7z/+ls88/JL1Joh5y+eRacFZ9YXmYyPGWY5l6KQ/aMhy8trbGwu8e633kEyIK5F5GnK+c0N4jDk3evvsbSyzO7eEUWRY0qPjfUNkvGYh3u7dKc9vvXaH3Cpvki3v87mxpMcDI+wpeZkckjgC5QfkhdD0mSORJLN5khP0Wn2GY8SSiPoLa2Q5wWj4QCnDSezKavrC5SF5sUfvcj24QynC5ZbLabzEitzkqSkkEPq9Zh6vcY8nTOajomnKSvr57iz/QivSBgcCebpnLMXLhB3Nhgfv8vqpRfpNJocHRxh3IzZNOdw/IjB8ABfRZyMHhP6LaSq5MK/8Nd+9MNut+9a353+lxxDKvGkwjgIhI/0JNoUxEGIxiKs5ezCOTQl88mQQluatZg0TVloVHScWMq/DCETYGxJv9WgoUIIAkbFnJN0jLaWlbDOn715BO4t/vRLf4aeDSsEsSnZufk+L37iZVx/wDyfE3sRqUkZzecoHMKBdDnC92iKmFyUKF8hnGCx0cc6SyAkUilCr0qenmQppZOUFjw8Vmp1ElNgfTAEJEXCOJ3g47HUXuH5Z3+MzfUnMemI92++zuDkiO3RAbl2hAh6rTam1EztnMD4hJ7HbJ6hbIwpS5QwrC702UlPiMMAaas8GCUjhOewBXhGILTGM1B6MBclnq9omSpVOxElpSkrM7dVSL9yVUoDdd9nbgqk88gwpCZHGUHg+VWwZ1k95AgB3VqDTBf0Gz/45r/vVbrMMNMRtswIwqhyZLgCR4VAVlJW/pBaA2UqUpl3mivTbNQ5Ho0Q1uKEYpYaGvWALE/AaxLVLM1OgJIwG+9Qr7dp9yLK0RbT8pBy1iGs9ymSfYwNmdS6jPYeAAI/bpxKqHzqsaG/GBB2VpDSoVzCKPWIQkVdWYK4i/Wg3bVIFVL3wJk5vtfC6ILR0TZdKUiA+rflUj+sj1RdW9ykOh9ZyqLk2wpOKSTWueryrYsKCkFFN7VSIK3AOoH5NvHPOowxWGsYTSbM5nPu373Pa69+jcdb28wmM8bjMXmeYnSB9EKsLnHGVvI6qzG22r4aXeKUAiTSZFgpoKh6qyxNRedzgsCrAEPK8zFlSeiHyFod6UCIpLpQKYHzPIQFQZX/onWBE6fZU85hral+FigPqSSe8jHOVJLA09fkqWohFIYhfhgRRBFGV7Lqs5ubtJptsjTHOEfkBTgMuXFcf3CPhov5Z//zP2F3fxehfNr1Bu1mgyDwECqovnc4fCp8dZX7ZeA0w64sdBWAjECKangqdXkaJiwrEmBZVoAYJSsKo5M4a8mzkmI8JN/Zgr/z9/7K++vfZKXqFleufYynn7jCQN/kXP2XmHOTT15e4WS0y9uPv8FPfeInqL2SczQZs3nhCoPpPbpn6pw9c47P/e//FDc/ohzP2MmHnFvvsX80Ym3jDAUxjw8OMcmUlfU+b7//gGR2C+JlkukEWjXef/MW5zf3OHfhLP3ly0xLxfFbrxIGhvbSJs2FM1jA5CWj4RClCjpxwDB1PPjgOt2FDu/8yR/SXlqiESmSLCEvDCsXn6a4f4fmbES7t8DmhTX+o//4VynGR7zx1T9HoimyDOcrRvtj+p2IWlRnnE1hZqjHAcnU0FnvYpxgNJ7ihKDVjEjnGWVhsBYe7+2QG8l4b4vEKd67dYcXnn+Fg4Ndnrhygfl4RJkv4eQcYwIOTvbY394FL+H28SM+/dzf5rf/5W/zseef4mq4yO333+bKxmVGWcQX33+NTiPg+u1HXN7e5ic/87OMkil7R5rAS+h1mqwtd9nfusutm3f5sy9/ne29PV7+xAoXn3ya//qlV3j8+BEPt3a48rFXPuxW+76rLEuMMcRxTOj5zJKUQhfkZcHJaMCffuvrfPav/wKz2ZhZOuelT/07vPZH/xxPlEihKPKczGWEfpMyqWBWWZYThhHWCCIPIj+kKCqMje/51XuVc1hXXfu1qWIXFBJfSr722m2unl9C2BxpHR9//gI3r99nP5mwvbdFVItZO3OB7XdvcuG5F3jXvMH/8Zt/yHKvRXjGJ0aQZRl7e7sIKdg8v0GelURRgKUKX7/x/g2uXn2SdmvMYHBCXyXc+OofsvQjr/DKx1+ipnwCeYKWHp1Oi+HwiFYrJm4EBKfXOq1L0jQhjCKOjgcMBidIUfnEOp0utTjg3Lk1Do4Sjo8LFltNWo0Os2RKpx1SZgUL/QW0nqOET60hiOIezjmmsxFb9+6ydf8uC50WtaVFNpdXODoYMhkPmY5OODfNUGGH3b1Dgrpg/2AHIzzObTyDtSXXnnqZh49uce3JjzMeTT7sVvue9V2Hqtw4YinQVIhP6zSzTCORpMWEWlinGzQZDA6QStGuNxlN5qR5TqtWR3gKz/dBKrAWqTKatRo4ixCKeTonT2bEYUS7GeMkmFKhhKIoZ9hkUsEnhCCqN3i8e0jrxm2uPLeCyy0PhrvEXkVKQVoCJSiNocxTpPApbIZJLYFS5EYThz6lFLjSQ/spvvWpBx61QNCL2uzPBsyKqrnqIqA0hob08aTHTBc8eOBhZo+4Hu2xvNrjg/ePCQKfJ5/4NPP8HkVZMp4PcVJwpn6Wk/EAJ3zidkipi1NDs2DuDO2gQQlIY6lJH+FLnC2JIw8XVN8yH0k9brIzO8KTiprwqkBOC1pYSp1TOIPWjuFgRqdVJ+zElOMhHhJlNbUgruRuQqBLQ+kMyvMojCYzGY16jPnoK1Xwwxhbzpkc7FBfWCKM6jgHws5B+hgZkqVVhoUXxpWUCAMSVtfXGAwGOAHpfEze8IiVZjzSNNodep0enu/jnMOhuNSyFNkUU5Ycbt+mnA9xvTmytorK56AHxLUexlg8M6Wc56Q6IjcZo/3HlKVAxnU8T+Cl+9Bbx0hDbBy+V6H7D45GnDt3ntFwQKprSClpNiGdDvi//sk/5eWf+/e4tNo69bFwemn44ZD1g16+kAhVDRd+6COEwroKmmNtBYlwsgJFIMBZh0RRmrLynyp1ivI2p/RSQateJwwCPihKjscTppMpo8EJRVlSIdslukwBgda6ou05sLiK4kclcXJA6HvospK0aatRZYGSiiyZ0Wr3ieMaeZFWVyzfR1gLvke708VZi7UGL4wASaQUE6mQKqUsNYU9vbI5izKuuvJICV4VhokDoQKUFHheBQeKmi2CICSKY9IkJY5CPvHyjzOZTdk7PCQr8oq2CvhGcu9olzizPNx6CNbQ6dRBSUpj0aYKNcYYrHBo67BCYazBlKZC01sQ0kdwSrMVFazJGYEXyO8spIwzFKXGzse4NCV4+IjgcB9nSkIhqLkffPTv96qrzY8R+x5TE9IMFoiiffa2hjjvLt9Mv0pvJaTceJX3dp5BNMfUkg5D9RgZVrEpIqhjkyG1tqLV6hK2e5zvOpyUtNpdVs48QWexxfHhHlPX585r1+lLzU//3V/h61/+AmqpzbnzZ+i0Q6So88Kn/hrp8AGT8Zzdd75BenjC0oVNtFUI5+gvrPLw3k12H9xldfUMD288pNttkkwOUWKBxc0r5KqPTqeUyYh6UzE/ruwGQRTzn/2DX2f7l/4mb37jW/z+v/xN8iSjVo8wmeMwmdBuKYyUaM8RSgd+yOLqMgDHowzbNqQzzaV2n1ApFlev0m61MLKDykraPcHjnUMK4fPu/V2SrYcU3pTSGZrNBc6fuczDyde5dvYSTzWX6HYbfOav/2gVzG0chXyWr3zpLX7i0z9Ks9tgaanDsy/9CP2FFpvnrzA6OiJKTmitrzPY3ecr936fwyxHCo+/8x/8HJfOncdag5IeaTJk4+w6Z1bP8NWvfOVD7rTvv9xp6PZ0OmVkDPV6E+UkOisIg5gnn3qO/eMdmo0GRZ7RbvbobzzL7OADDo6PKh+pNRiT4/mgnQThVYkSVOokL1B4fvWTtiwM3V6LyWSEM5JMZwSehzKSwmmKMsUpH+3XuXrpPJ3OAi2v5MGdLXrLPTphTOwHfP1zX+THnrrMU5frvP3BJR63txECjocTao2YuFGnVmuAsIwGM0xRMh7MEP2Inekh66tLvH/jLlcub7C3d0gzajGc7NDvLbN3NKYWRIhxyvLaSiXdVjCdDLFCYrysksY2++RFwvDkiHqtgZRdgsBneDKkXq8xLgq2d6e0u4vE9YK42WHn8ITL55/ig9t3oQx5vLPP0mKLKBbkeYl1Fe14Z/s+wgqeuHCJheVFpCc5Od7liaee4/jkkMbSGXa3PsfNN31yV+LJCBWAECHDwqBtgtMKo3Pee+9rHB8ews//1Ifcbd+9vutQ5YRkbgtC56PCGGMLGqHAOYF0Hh4wY04pDGlacudkn34txvc8gsjn5OiEyPdpxTFS+gySIVujPTxpqUdNtDWs1RYrPaerNoU37uwhpEGWU3wJvYUO1sBkOscLFO/cuM76Rp1Gt06uS4x1eErRCuMqrE3nhL6PMoJOs4XwFEZrvCraityA9UpqKib0QpRUjJOERhSyWl+mCDIyl58asD0smkTnvP76AG1m3Ln7mND3cOmIpg+1MODk0T3CwOfi04tE2mGlwyQJS/U242yIMILSWUxZUvdiIuXA9wmdww8cmTWkOqNRazObT3DSEgnF1AqGBRghmJQpU1fJTXphndzY02HVYYRmYaFLbnIGgxG1MAYjiLwI3/PIja0GtjhEW83E5ERC0RcxNS8iMx/9h3GpDFFUw6aObDjANnK8uIaUAaEA43LiUOGcRFPhUSv5k6TeqHPl2tPs7DxmNJoR+T697jIrSz65zsnzjDwvierV4O+MxG/0aIYxvYVltClJZrt49hhZ7zOfHlAYn4VOn3kGmfU5fPwOaVLQ6XWIu32GuztMtWWh36XQHqgIX8RYJ1Ei4dLFDaK4RbfXI88L0nTK7sMtmgsrLHbbfO6f/QZXf/oXWFpa4tpmHyXgoy84+v9B2Upi51yFJZfKVRej08gHfSon0a6irDoHggp37jh9wD+NiZCA8iRZXnA8HPHaN1/ngxvvMx0NsGWOOf391urqCnMKqfi2TE+IU0AEf4kPLkqNoCJaOQva6QpxjmA0PCZJQuK4gQoCdJYQx3WMNqA8tLEV3MdagjDACGg0mjjrqNcCTKNgODymKPRpxEW1BnDGoW3lC8OWOCfxa43qiucEoeeTpwlSShrNHk5KdvcO2d/dQUoohgm0PAoJTWv44te/SuAsrVYLLahCfKXAlgUaiTGawFPkeYnGoqQC6Z9eA8vqsoZAmsojhauGzmSu8QtNc3eHlZNj/LIgdQJjioog6Ac4IQmVxJUf/U3VB8lX6fmXKUrHcrfNTvYqk0nIysKPYQPJyewt8uSzNGoZpYu5PvnnCN1gRXwcU2j6q8vc3HvAhX7I1SvnGI8Kwk6fWhATdldoLpwjbHcI6n2u3xmxdnkVX0ZMj3fYOH+R0dzy8FAipgHPPdfh9T//YxYbAdHyU3i1gHDRp1ZvUQQ1iumYd775dTrtFld/5AX2t3YovQ7TQuCSCTLu4B7fwXGfxfUL3L/9Aam7xNnNDsXBHrXeAtKvs7y0xmd/dpk013zxd38bVxqIPAIMqbZ0Ow3afhubb2GKkkRbjFCQJ2zvzVjo9khOlxrzXDM8GiBcgJbVMC88gZUBW8NHPH7wLUzD0ur2ODi+yWv7XyCzihfip/n4xau8fe9tRFnn2qXLxI0Wq5uX+ZHnXuTcuVUCv0ZpSpLRgGQ+x7mSG7cfcO25FxgNx9XPjsVVPnHhKTzPkWc5eTJF+pIyTxgMx8wmOQ/uXae98sSH3Wrfdwkl8ISiFtdJsoTheMg8zWh2OhyNTtBOMUmmHA8PsMZxsL/NZ3/u7/GP//v/hLwAZ4pTkm4ltU4zR1yrIZVgOBpTjwMAwiDEDwXJrKQocqypnhN9T1WXqtIQ10PKtKA0mpt3HjIYjWnfesSLL1zl/DMv0jh5iOdFHB/ss/nk0xxN9/jzz3+V81ee5Cuf/xzzaUpZhEw7KYtLbRaXFjg8PKLXcXXcgAAAIABJREFU61PWG0zmJWEUgBOkeUGS5symM6Jai8PjFENCEAfsHd+gFS1TPrrB+X6dk+MTijxDAL2FBbJ8hu8rHjy4T60ecP7cWSbjOfPZABWH9BdXSWcT5mlOXGtTlDmL/WXu7x4wGcPu9vtcuXaZ3a19QlEwmcw4f+4J7t65zfbODkEY4XuKJ59+lvF4yOzebXCWuBkzmU4qumuZE5YpLTlmFlxkrXuGeqNLq11jod/Dasutezd4+snPkMwn9H6s9eE22r9GfdfnMFPmCOdQymOqU0o0vvMJvKqJBDBO58zzBGtzOnFUGfxcyc5wHxlAjiGzcDwdsxh1WW50WWwsIJ0kdB5pUTAFDrM5c1MwnE6RpkCUJYHvSNKULM+rraqrPDC2tOS6kmhkpmB/dMRgPmcyn2CwZGWJU5LcWcbzIQKLLh2zMmc4H2FMpZEfzSdkZcZUz5lmCXmRM3cW54dM0wyUZJolbO/m5Fl1IRLCkecZnUiSJgnHwwF37j7Alx6phu3ZMdMyJS1KirIgywxpmRN4ikYckYk5MopIbI4XKJwfIVWIpzySZMa8zCmMZVKWTLIUSldtWJ2tkMM4TpIZeZaR5QVFaXDGYnWOEopWWCcWPqGUlfcKS+wgy0smacIkS0iSHLTC5jAbZ6STjz6pQpjKkO/VfZSqPA5CeEjPryQ8jirDxpP4noeUgBQYA0VeUmtE9Hp9Ql/gK1ch7fMh6egYIyTCJiTTCen0GCjJ5xPKIiUrM4yMkNEKFoEpElTYxlce49kJZVmQZSnDSclgnGKcJAwizj7xNJeeuIzy6rhiihEeQmqMTonCgE53mTCK8Dyo1Vr4SnFwPKDdqONHTaS17L/1Gm/8yZd5Y1hiT6VVP6wf7BJCnP47VR/WWnAG5yrZm1ISqXyUCk4/PBCGsixw1iJVlZsnhTyVCloebm/z5tvv8PqrXyGfTXCmwFjznSuUc4B1p1LDKrW38vy4/1cey1++yCo0XXzb3+Sqwc8aQ1HkJPmcPJ1hjKOwmjxPyYuyymdCIlSANhqpDQpBHNeRnkcQBERRHaUUUjgk7vS2WuUNSiEr14NUOGtACHxZASCCIETnJaHvsb+zw3g8Znt7i9F4TE1WFz2X51jnkMLSbTVxOkMYTRRWmHStLUVR4KygNFVOlkBSloayyMmLjDzLSGYJeZIyn8wo0pTZfEKxu8/C9ffZePcdzuzu0MhyfGtoWUvbwbLwWRSSBT/Edw6tPvqLqkwVlPoxtfAs27tv4PI+2/MHjEzOUu0c1hxx//BrDOe3ycqUUnuEsSX0I8bDAWtrq2ycv0xROMr0hFavhUnG5LMRyWSHcviQqLGEUBELZ8/Rai+xutRkOtf4Cxd45W/8IrLWxOUJ43klaR8NJ0T1Gt31syysnUE7kDagu3GNl37273L22VfITJ3e8grT6YS0cGReC63q1OMGzjn2776HimIOb91m6+bbBK1uBbQqEoRUSD/gsz/zU7Q6XZzTWCkw2uDHIcY6/FpElqdoY8hSTZ4ZRrOconCsr63h1/scHR5wMDxA66J6ACZiMBzjyhIfR0NENNoL+CrmYDphpnMOTqbYImRcPGbneMzX7n2eRnuNRqfPpctP0Fts89y1p0lnc6xxKCcZDk6II498NuP5F54mCjs02gscjqbsHO5ycrxNURY4nbGz9ZBH9x7x2je+wR99/kvs7W4xODxkZan3Ybfa913GVgAqqPL0lJRI65iNRnhIGu0Wg9GYXBfE9Yjh5IS4XoOghid8lKogPc4JSm1RfiUT9n0Pz69sF8ZojKlk15WvslrKQpWRXlpBYR3GVGAbnEM5mE1TsqTgwc3bKCvwspxaXGNxY50w9vGcz2A0IzGCi5cvcJpOQTLLEEIgPYXWmigK0Fbj+QKpqpy9eZqjlCBJEoajIUleMBqNGU5m2NKwf7hNPtplOp3h+xJPeTQbHZJkRhTWqDda5HnGYDBgPJqyv79Lvd6g3e1TaIcUEklAv9egXot4+HCXeqzAFdSbIXlakMxSlBS0m3WOjnbJ85Q4CphPJ5gyJ45DstmMrMhQviKKa7SaLay1RHGE8HyCsuDi5iUubW6yurRI6CsO9veZzyb0ewvce3iH49ExN+5+8CF22b9efY/w35DElig0cVAnSTJyWSByR+QJAlllnzRqtcowbA1+5COUrQw+xuGcZJJN6cdNchKGaYIxhtV6l+PhlFKcEHRbRFIRKY+atMx1ii8MxlTBaHkJ4Wl+iO8rdo9O6NbqtGoh9TjkwsIimpKt2ZR6I6ZGjbRMGUzHaOdIyhLhS0qrQUFiNdN8iLOWqcmIpOD64V3atQaelIQEeJ4gKQuCULKzNcYPvOphoNSoMmUymhJGMU5rbCD44NZtzpkVgjUPpx1DM+M4sXjK0fAaGG0prCG3MM1S8kLjW4uSmmmZEns+STnH8wIkknoY44ucQs/xrcAIn0AI5kbj0NjTbWghShQeAkGpU7T1mAlHpALy0qKtI1ABnlREUYAUEYsiIs/yKry4LinT/K+q3/6tlRWCIIjAgvSrC55yJVJEOOmdPjya03BRg8UiheBw9wE6L+kvLiAF5IVBO4HOLYcnEyLfQ0wT2p02tajGytIyw0lKXFd40lDMZxyd7FFr9pmejEjmJdaL2LxwnunRIUHs4RERBSHGnA5r5S79Xhcv9Gj31pCiZDwdsbN9QL3ZYHV5lUBVmQ3jk4e0FzeIG23OnbuIMZosnbKydhZjNTbZ5ff+4X/L13/mV/nPP3Plh4T1H/hyp8ht9x3pZjVkVQsQnMBag3X2dGiq5HqBH2A9S6k1GLBIjo6P+Nrrb/AHv/e73HjvbWajEU7YU2y6w0KFCPwOhqL61XcIeIBQXvW5U5k1EoQDJ6osLOfcaUBvNYgZY8jTlEJkeF4ly/B8nySZIZWiVmsgrKEsNbJRJ/AlylNIBLMsodXpkMynOCdxwuKJypNUUfMMDqolkjXU6w1qjUb1dyYZpSmoN2p8+ctf4qUXXuLVL3+R5eVVXvyZV3h75w6+qFPoDFGPWWp6FK7BpAzRZUqt2agGKK0rqaO2lKe0Ns/3v4Mtnts58/kYMU9YTzLq8zm+cQhXyTKFUhjlI4ytlnyuQmznTpNgKpKhkpV08CNeeREzl5JZfp0g6DMqDBcuPE+/0eFgdodrC3+LB9nXKMo5ojjkUucnkX6PZrHG7fffR5VbjAf7rEQ+9x/tc2a9iS4ccmGFKF7icDjh6Jt/TJZLVrpN3EKLOPZ55sWfIOxtYHTJ+6+/wcr5i3i1iPtvfotYllj+nDPn1zn71Cc5PnhIoxkyH+2xe/IYioS6p3jipZ/E4dg/PCL0mgRxm5GIccGAUmvK0mc4T5m/9x5O55y7cpXpYI96ZxnPV3gq5Bd/+Wf5nf/zDxmMhzTrMXkBM2sxJ/so5WGnE3qdLsZ2mY5mtHoRpdQ8PNwiCuvMTEpe7rDZXKRbK+ie6SE9yWQ8pOcL1p9+CYnDBIpv3H2Pk+IxXtDksZvy6OhVvNYneerqOX7jC/8dZxdXeeXqJ/n6N2Clv8J0eoMolKytnSVutRHE7Gzf4S/+4ps8efU8q8s93nrjBleuXiMZn1Cr13n4YAvHkHmuubjSIys93r51woH7F3zqp37mw26376uqBZAkzxJqYUSn3UZ3K1/U+7du4AU+vXaPk5N95owZJ4fE4y4//bd/jd//X/8nwlqD+XSGcQalApI0xWkoC4XDomSMLguSNKHnRwgBs9mcMIiYpwVaW4wTFRTLWEpjq+UugiLP2H58SJmG/PKv9VCLm+yeKFZWLsEs58rfeIVXv3mXIOoQRBEiCtFlyWQyYX9HApJ+v8vW1i7WGiI/YDgcE8URRVlyMhiztNjG2AzPq15Dv9mFegNPT1ivX+BoNEYKwd7BLkooFpeWiUJ4+OAxq2uLCBSj0YzNi5dJZjO2t3ZBSqajCRefvMh0XoKt/LDbj45JCsMgsTzYHxN5FZ5+f/+IpYUuq2fOsNBf5ObND4jiGKNLpHRsnHuCRj3m5PiAwfER9+/cYmPzYhW+bjMu91eQcQsZSObzyk9rrUUGHkJJnB/w5hvf+LBb7XvWdx2qPOUjipxJmjIYTjnXX8FKgXCWg/SYmJjEJoxnc5T0cNIQ/j/svVeMbWl6nvf8YaWd965cJ/U5ncPpOIHNCeSIQQwyTdOiDJu0JEOwAUXYsiyLgC8sExBsGPCNBVESJEMXJGXSIkWKEj0MwxHJyT0902G6+5zuPrHOqbzzXvkPvljVlK6GBoZkzwjz3RUKqNqo+rHW/33f+z6vEOhQo9EgNVEoEBhuzQ/othOiIMQFhvvLMaqj8EJzsjzAoxEr0JsRq71T+pGiKCrqukapkPM7m9y+t0/lPCKUSGXJvEW5klx6SlMyijpkWc7MLMF7YpWwFsVYHN5YjFBYC7HyRCqioGKcrcjxnOsOkUFjNsYZhAWEZ1UXYGpCLRGyRoYelxVEYYw3NcYLHNCOA1bzlMFGGxFESFHTjkIUktpbSlNhjMULw7Jc0ZMxqSkIvGAYaqyDje6I8SollApX1hhXY4wj1BGx1OwtT6m84XzSxzmDCEPqyuBsTSDaOCfohDGH2QTrxdkkFoxsLkXLao4WmszPCF0Lqy0dYsI4+BM5bH+ctRhPiSJJnLQQxuK9ay5pJqeWAVKHSBEhlaEyBcaAFQXTRQZCkaRLqtIyns5wWFSgODg6Jq1hMJ6zsTZgrR8xb3UQQUJReVqtFq6EzY0dsmzF5rmHWc1OMc4wObpPbzTCV82lMwoc7U6Xu/cnbG1sIYUjVBpP3eRcCBglNUV6wmxsG7Rop4OUD5CVKatVxjLP6bmAIBhiTUZaNRfzJx67DPdeBx7G+2Zy9m2IxTdnOW8B0TQqqCYzSuiGViEa/L+pm4gGaOQmiCZIXFjHKi9YLFfMp3O+8NKX+cWf/Sfs7+9R1R5Lk/MkRQO1kN41fi3ZMMq992fhvM3XjfzvbCMlGwqfUBrpfRM1IN8j2TVyQ+F9synzEikFKgipi5za2gY6UXpMVZEGmqTVpu0dq1XW/AzVhGpL51BKY23VbJBpZOb1GaAC2URbKCHPJr4WY+omYLMsuHXrXSanY7LllCxdEQQwag3InacdS9Kipru1QWeUsCgN5QLa7RZx0iIIY2rrcNbjnCHNCrLxKfXsGHF8SGe1Ii4rtmVDFFz4mqnxGKnAG7S1KKHQUuCkJKhqVnVJTYNd9zJEhQEaQyS+9Z+pa50N8AGlmVLlPa6e+xhv7P8amZkh6jkhmxTcZz1+niQMmZs3GdpHKXLF4WnF8vA+LpuwdSWmn/SZnu7TX1tn78Y1OudH3LvzDt1yxuOf+FFC7fA7XT73+1/m1rWbfOyH/xPm6Yrv+74XOTrZ5/Uv/C6tVoCOI1ZFyatf/iLLdEmoHPlgl4tXHifoKPZu3UYKz5f/7afodmIuP/k87772Ene+9C47m2ss00Uzsa88xnjU+nkWi5R33niHrZ1t6sLjlaa/PqKfBHz8P/oRfvsXf5m8WKDiCOUFaVrjnacuM3QqGK1vEgTbzE7n3DqZ0291OH95i62qYKPTI5/tMbcFZVrgKKmloC2gyBaoMKbbjvjg5iZx73k+9sHneeCp59FB2DwXvOXDH/oehIblYslqMWY2P+aydrT6G+TLHCFCfu8zn+Po4DYf+c4Po7TGlI5eN+BXf+kXub1/m/NbD7K7OSReexY1u4vR8NgDmyThd7K21X2/j9o3XI2kufGL18ZALZFCkCQRVx9/nGWeU9cVnTBi7/4dhFeM52/x6NMv4NtdZotJM+DxYJxHSUncbe5XSkpWacrW5ggpFAhDmq7wiCaqQkico2moDNSugQFpKQl0gDmzpTg/4Iuv3mdr/w3OP/UYl9YD4odb/IW/8r/w3/yNn0Kw4PB4TCdJKFYGJwTTRcbGliVdpcxnK9bXR6xcQbvdojaGTqfD5rZuhrV5yWw2JwoCFuM9TBBz0d7n+OSI8SyjyFO2t3cBh7OOW7duEYYhq9WC8emSbn/Acj7DVDWTk2P6wwHD4YByVWJKSxBLhut9alsThw4tK27cO2A46vHOjTtc2N5gZ/cyu7sbFHnNww8/gg4C0jRnc2sXU5VM8iXtdh9rDHVdIZzj3p3bZHnGG6/+v7z4Qz8JRnNwMD8DCAm0bqi4y9mCj3/4I+/3UftD6+s2VUezOWnZ4NB7QcBJPubK+iVW5ZJROGB/esx6b8iJmREJSxJG1M7jLSgtSPTZ1FUHRL55iTV+AU8nblNVGSKOiWVIEvaw0hJ2JF9N98AJVG0xCJwx7N07wFqDlJK17RZLu+JCa4A3EcZYRt0+lXckDhbllFaSkJsMV5UY5zmqpnSiHmEkWFQZaVnSaXWpfMHKWkxW0uuJsywXxXbSZ5Jl7MYDvprdB5WjkxZJHLAsa1QEhXNUxrM56jGeznHOsx0MKMuSjfYaaZ1SGjjJx4yiNqau0EiGKma1zBi2WgRoitIThSGr+ZJQ+IbQJSQ9GVB5g3CeaTmlpRShF0zGM0aDHrqWdIzGCYsWAt2KActmp0tN3UyhnSBGYXVNJNbBQzuMMBVY6YlkQPAfgFQl7o8wyxmpzQm0xNYOV6xA5FTtmihKCKIWVempqoy6KsHUxGHCIi1RKkKGDrzDIymzCitCVsWcRVEw7PWoXID2ksDVaCpWszlr69vESUhdHOOcpT9ap/IR6fQedZkjhMHWNZcvP8CtO/e58tAFlFCESRchJN1WBAj68QYn47u0owCLYD47otsZonWIqpfESUyaluR5TTq7hko6VBVEskbGLaRa8Ouf/CxPf/h51vstItVcWL/dXH1zVZPlBFIrrHVIof5gu2itwZzJ3vyZJccLi6kbz+qb168hVcSdu3f4Fz/3zzg5OmI6HWOtxzvTyAjlGbJENNumRkkicEiiOAKpMFWJ+PecVO9tyEDi3qMDCsA5rGt8UtILUOrsTPkmosBUeKnAWipjiJMWxtYYU+NdM5Rb5Rn9ToskjrHOkS/neGvPLkESJ0AKhZaNP6wyzceSYUiv30OFAVVeUJmKqsg52LuNR3K4f49z5y8iCJkfTOkkXdqtDtN0hY4SRiE8eWGLf/tuSqlDlE6ojMGUFd20RNy6hZlPiIqCfDZBeov1goKauvJoD4V3BAhcGPD6/hRjK2LveHJjE+Uc4EiUJhQ0REelKAWkxlO77E/yWP2xVFVfp6OfY1ZW7LY3uH70CwwGQ5TpUdSS3Z0WXfkjvDO7ia0NvVBy9/QLrMsXGWw8wNuvHNJOJEd3JqR9z2iYcGff0Nl6kuX4Lpub5znah+nt1xlnFm8LFqcnHFSS+b/4NXYfusj08D7LyYLhxXOs7Z6nXk4ZdByqW5IvphTSc+f2Pm9+9pOU1jIcrdFau4BVET5IqJanPPDIQ3hvWBYrytywuXuFYjFhONykKiSnsyWX17aZnh6RL98hGGwTRxrVGvHi1YgvfKpLfpQhrWeRNSoaHTR5a760tPIF650Ed36XJx58gUDUdOOA+6dzZuND0rxkPj5CSklWVoShoNQSUwuSwFF3O8SDAdXhDT79+ZLt669ybnOd0QOPsXvuQeK4Ab+0k5BIb3E4vc/y+D4v/aO/x5WrH2Dz4e/guacukz24yd6tW9RWcOvmPc5thFx6qsv5i8+w1tlktszpBid0RiOy4ph3bx3y6uEbbB10+cEfeb9P2zdWjZxZEMcJRVnhvaeoK6qyJIljyryg225z4Znnee6Zp8kyx7/+rZ9nPhvzQ//Zn+OX/8nPoEOJJmQxzxv8ulLkZ+TSIFSsliuCUOOsIYolxujGV+XqM6CrPWNFSYRsfJh5WRIGAd0eHB7Pqaqag/ZFfu3nf4eNjZc5PZzw7HYfgpJOGKCVIfCW3EHU6eCNYTKdEQQhzgqOj6b0Bz3GkznzRcrOzjqHJweM+jGBDJtnlxCkszlFXGIW10CHtKLmc+0fHLO5PuLtt99lY2ODKEo4Od3n4Uce4ejwhEG/z/H+AR96/inu74+ZLJZsnNtifWeIpILSMhhEvPTFa3zt9ZvsLxfsHc7oS8uDH3mEV19+ndOTNVrtEXk+5emnn8G3HEdH+0SBpq4qhqMd8nJJoBWT+SkOycb2NrODN1AuYL5cMhwM0EpjoQmqB7r9HrPJ9P07ZP8/6+s2VSqybLX6FJUBaSi94c5sH6csWVbQbbcolWG7vU4rDEltifc1rqpwdWM+rr1j2OlQBiELl9GOOrTihMlkwp17c1bTMdNlxmzydkMYVI0XYHFoacWNdESHgjJL0Spg61KLqczYSnospwt8CJ24xXS1wiioTI1BocuQvKpZ5oYnr1wlHB+QmzlahATaEUrFIs8ZxUOccBS+QGn5B1r/k8WMUbxGqEK8smSlo6UCjPSEGqw3mNrgPaR51rxTtURaSTeKEMawrrtkqqYl1pvvR820Nq9KOu0O3ksy4VCJRmoQNSzTJYHQDHodvIXzW+eZFXPCTLA0KU7KxhzuDEuTkXQlnajLospoCckg2WyCQK0lBFxdUVUlXkaNqdEW5KsSlEK1PIEfsCryP5HD9sdZ2WJBGAXUeYV1giBM8LakzEqKyZy19Q62v0FtGnNkb7iGtzXWGJZpzsHJCaEI6LZbLOZLLpw/x9NbO6yWC37ltz9LoCVP+m0iNcLJgCCJGLQT6mJF6TWLaYoQpyRJTC36dHpDimzMoDNAKE0tWpy/FDCbr2j1uo1p3jtcXdNqt0iNQwc9VnlNFK44vnvIJNbE3W0Wswm1bnPpwjqxMBysana6jvRkRry+TpaW5GVK8vaX+ey9m6Ajnv/BH+bh7Q7e06Cfv13fPCX+HXUPmo1y0wg1Ybfg8A21AY9o5Hx49g4O+Of/+Geo84xVumC+WmGr8izMWjRIdmQTsiskUdL6AyBEFMcEQURe5ASyybaqz6AUzoMSTR6TlKpp7GrT0PikQiAw3qJowoOda35XE+Ar3uvgKIscrTRSK3QgMVg0DiU1xjsCFVBYj5MgvALvsA1J4+xHaJJEE0YRSEGZ5cRxgnM1ZZ7inG+EjFKC1GRlSVbkfO4znyZ57AHkYIOBlNS25LHL2/Q6bV5QXd48MQSRJJFtTNRiS+Z0S0lmAlxa4HYfoti/i6tKApFQa4XVksB6kiKnLuH50QYOizOO2loqLyg9lN6TCk+ApKQiP7vU6PBbP6ZiZ/C93D15A2NucFrcRtqau/f7DEdbiDricHFAZrfZHJzjYPY1TtIApyPuHrxG8fqCra0hLpszX2geeijka68dEkUKVxt2H36Y7ctX6A8S7r71OuFgk8KE/Od//ad458Yt2oMNOt0B3U6fsljx7ltvsJjcRTrB9Xe/AqZi7dwOAkizlCBqIYVlOj9lNh3jgi7LtiZqDVikJVtrI/YPoKyWHNzbQ2vJdPo2rbjF1qUnuXcwJ/ITti8+RJGteO1LL3PpsccwxvGJP/1xXv7M53jzxq2GZtzocAhDiTUe0EQ6Il/VHN14HdUKmScxRTknWxjG6YJAKFQk6MUxEzdjXa2xmM+xsWSazxm1M5iFmOkh086IuzdbXDq6zX5rhLE58ahFK+jRHm7jsoLT8T7Xj+7SvXwBd/dNZtmCoKVpuU2WqymdYUUZOPxxBLuHjFcdnrj6FLWp6MUJrx8d8dTuM2ycbDFZnby/B+2PoIRoCKreFgzaMbVxFEIQaMVymaKkotVqUVRZQ1TVmscf/w5OZ0c82v4IMvw5hFuxNhqwykBJi1OSKA6QsgHmGGexZTP1MfmZ9Pdsq2V9k42FteAc+ixjUIvm+R76kEwUiDInXN/moZ1dNsKaZ566QL3xIC+9/HlOr93l6OSE9U5ImLQwRbOEOD6eUxaC6XJFojVpltEZtGi3I5bzBe0QrDNURY73CVIpTq5/jUc/eBXr4XDvPnlesr61CYHkdD7l8pUHkDjSdMHW5i4SyWoxZ219yCKvuP7Zlzn/wAM89dwHyLKawfYWKlDcu36dN197i2tvv83cCj72gQ8wz2aUWco8Fdy/d8TW7hbL5ZTJ6Zi7w/scHuxx7sJ5BuvrHB3cJ80WFGVGZzBgOFpDKsnpySHGCm69/iVUb4MgbKMTga0qJvNT1tbWScKQ9tb2+33U/tD6uk1VqFtIFELktKMO0jRYXInmqe0rVFVOXXs2hyMWZU6RG1SZ88DmOVZ5zrIq8VLRittEJiYtJYo2roJRew15KaDcrHno4mW89SxWE6b5jLWkT2ZKOlGMlCGrdE5qDWvtASezGdgKUxtOTMZIxczSnJHqMl7OaEcxszJjpZdgHKtiwRff+iJbyZCiLFhVM2SgcE6ivKcwBYlTRCokrwuiuI2RHqUijpYpg8rx1OM7fPkre6R5SWUqYiyuloRBgPUeZyWmtpw/P6TfjlAyIM1WlMIzW8xpRR3CICBfLNne2OTYLpAiYGPzCk88/iEUEXG7w3C4ztbWFt4ZtJbs7b/D+HSP8fE+e3s3iJYRLoRhMmRZFpRVysX+OkopTpYLrDPMyxNiHZB5g3YB3W6HfGWxyuCEoq9HhIGmKhypKXl9cqvBtH+LV7GaEYgOnW5MsSpAhARxD6FKvMuo84zKTZFhB2csUghkENHbOMe2g9v3jkB5VqVpICzeECQRl9Yv8pd/csg/+8Xf4DfvHXNhe8RjD+7SjSR6d4NOmIA1hEmbo4MlfedpdUqyIiRK1kmrkjAIsW6FVCFJp4sWAS7Q+MpRuYLZvRt0ewPC9jos9qiQHI0XhGHChdYKGUYMQ01V1vTW+mzvKHTUYX3XYvIM7Tx390/Y3dmmrQSB9nz+l/85X915mB/70e8m/HZT9c1TZ3K7hjjXTDONeQ9cIVBKNn4jb0A0/ichG7ng7Zs3KRZTalNh6mazUrrG6+RMfXaxgEDpxvNB83JXUYwzhrQqsZVBqGYrFWiJVBpzlvECzTBGaYW3DqV9OY1nAAAgAElEQVRkQ/5778LiwdSOIAibwGAHOlANzdAaKlNRm5pWEOI9BEEIDsIgoDIWpCFMEop0gcEiJM0GzHuklARSEAQBSkhUEBImMelySRiEmDAiLwxSBQgBcRjQlpZ8OaMocoZtxbgTMUoibJFhN3fY6WvC9YRrB28SBnHTHNqKHEEXgfvq53DWYW+GTVOnNIXSaKUJpcDFHdKqRniLqg1OKoS3uCDEKIn0Cq0kI6lACrZRqKBpcIelfT9P2R9J2arNTneDWX5EVVxg1JvTizoov8UMg67bHJX/hlgXoC8jMkk36aKTB5nXE1auYCgV+2XNm68dI4OAJ1+4SmttxJXHryKN4bkXf5yD55/ly595iZYQvPSFz7Oxe4lOKyJbzBmtD9GtNR59/nl+75P3Wey9RSQcxsP0+C5he4AjZjU+JIkCpIzQcRt0m3Ga0aegrmrmFcwnd9m88hTH115n7fJVdFjTDiTz/XewMiLsjHj3xl1ODo4ZtCPWz5+jns1Z74VsPnCFO3dPWOULahvS7XUwZU5r2EPgWToBteGenBIvI6JQcOnSkNnykNJ5TFWSagMmIO7FOB2hEk1pPeicO2/PCDYcatymahuGCRzcfAUNONPFDO6znAiiNOSRBy6ztjUi7ia8+u6EZ8WU1u6I0foW7daIH3nhL/Ha619gUc/5jqufYLGccXiyh/YBpTVcv/kmW8llfvOdf8rHrvxFfvvdf8Sf56+938ftG6pQK9SZd5qz4U8Shwjh0Uriup2zYXPjiyyrin6ny9271wkiyV/9Oz/Nb/zqL/H6l36PJJJUzlGvUgJNE4EiBMY4pIIoStDaU9UlWijqslED1HWTLxjFEWVRNQoAKYjCCGNqlJL8y3/1W/y5/+rPM3zuEcR0xolTvPbq6/z3P/U/8Hf/u7/JsB+yMVrn8HiCdZ52q4UxhulihtSKo5M5a2sRkxMwtmBja5O2gelihq0cmzt9nHfcePurPH/1MmtrI/KiBLVguUiJwxaBlhjjiYKA4bDL5OSUtUGPJ59+kpOTE9pJhw+8cI690yUmaLO9G9ESM179yuscnFa89vo7WBHy3R98nHvjFff2Tnjw4hqSiieuPkyaGqK4ZG1zRBQpHnrwQdY3d7h/7w62MpycHnL5wccYT8esVjPqukYgefDKFd5549f5wA/8LepqhbE180VKZRy1c4S8t5H85q6v+wmlaahM7ah9JgvRDOI2o6hLp91DhQm9VpvJakmgJF0VEElNnqYcT8dUeYbNU0yZI52jSpeU6YLZdMzB5IhIaXYHPeaTI+azQ6oiJ1Ixy6pEeYErLNPpBGEFxhnyylCXJV3aBEYysCHaBLjCECvNKO402GALi2yF1Anbwx2U0E2mk6xQupkqVKZGSokRAtWOsFrSDmKEqbFVyXK+QBiFcrA1GnL5wog0y0mzElMLSmOorQOpKarmUOgEvIOyLPDeMQxDOu2AKLSsqgVJpIg8tFWEsx6tNzg+nnPt7etkaYatS2azKSeTU8azOV602N19kuc+8IP8yI/9Na5+6KO0khib58Q6IAkCSufI65K1pIu1ll7UQXhJopvt1yKbsCjGHM4OMVUFDmIHPaXoSc2l7pDtdv9P6rz9sVV1Jp0S0qACSV2kTegpNbjmolrkBebs/+5sc2nVWqG1YrXKGE/nDZo0STB1E8zqpSLQIR994VGEbLTT+SKlKiyTw2Pu7R/gbEGgMkxVYb1lMZ1SLGcI4YmUwrjmQmptwWpyRFmmpIsTprMTJuNjvK8aqo+wdPpD4jBBColXAVEyRFpP2OqihMeLAC9Cysoh9ZDOYI243cFYi7MG4W2Tl4FleuM1rt2ff5sK+E1Wzr1HkmoaEefrs/BZj3U1nmZjJITGCtGQOxcLer0uQjbh5VaIRhptfcPQE+/NxzzgkLLxQNXWUhYFtakJgwh9FoaulESrECWbEOw4bhHFLVQQNs8yHWDPgBbGGZANqEcojfceeaYxdGdbJikVYRShlKKsCpzztIKYKAjJyqohkAHeWqSUSN34FzizeAmtsFLghECHDTiiyHOCMKKqKqy1ZwABhcA1uX1hwFpL0g0U+WIG3jOrPKmDmeoStrsM1tbxpuK9vC4pFVJo5GqJjhOEMyhbNX4pZ1GmxgiovccUGcoYWsaSOEtHCFoyIESw6QUjqTinQvrOo4IQLUG4hpa49Ob9OVx/hGXNIS9e+YvkpcaIPZSIWNkjjhYvI6IFuZlwMG9hyw7rwUVO8yUPbn83qrVgc3vALK155zSj1wuppWbrwgjhPP0oRBZLjLHURcnOQ89w8fGnka0B1lQc3HyHPF2xfX6XVrvN2nDI1sYuneEOlTHYMyhAXUvKtEALi/AKYy2VzYhijRCGOIpBOJJ2wvLoNqbypEd3EKpGlqcM19YoWheIWwN2z53HtQYE8ZDBWofJZMni9JTSC+oyY2u9Tb8TIHyA8eClQ0YBSsqG+oqkdo6qNFjtSfOcNC9IyxxRWfARxI7SWw4mU7zOcBR46yiEoaQmK3PyWcVYTNibH3G0mnAvO+Jeuc9EnjDNVizDjHeO7rNgye6HH+eBpx5g58HzXDz/JLvbl7hxdIPTkz1eufM5vrL3s6yylNViyd7+Gxyc3mRzfY3J6YKX3vlNdDVgsVhQ19/6UlXvPd473iOqNk8ui3eWKAoJVCNttsY0TZaxKClotxLu3r7J9rkH+Im/8F/T3z7PLK2QXqFQ2NojlCQvanQoUVo3NGp3Fn9BMwiKwoAg1IRRAAi8c3jfDDONrXHONPCarOL7/8wPsFhV7NeeW+MJvV6L3/iXv0TcSpguVlTG0u0m5HlOEEUUVUnSaTW+VS0Jo4jlslG8HI8neCWxOFq9LqsiR4YBpirpBJY0TbHOEgQRxRkxWghFXpTM5gsmkxlplmGMZTwZc3o6ZnNzg3mWM9rcYthrMx0f8tnf/yovf+UWb7xxk4sXz7PKSspQMehG4A3ra2uMpysQiuPDfabTCf1+j7WNNdY21rhz612cqej3umzvXKQ+i1Gq6xpnLVEQUtUV8/FtnKmRShOFCWujEQJPulw2751vgabq626qemdEpFWecq6/RqAC2u2Eqjb4vMDnBXNT0Y8STJZz9/Q+j2xdISszdtojWnGDIO2cmS4f3twlwzR/UAmLIqUuDEEYoI2gG3e4eXoPZzxr65vMiiWBDIh1yEgoYi2J1oe0VUhqLAub0pEtdEtzY3yfQXuA1BrlHEEUc7Q8YK29xqDVxRpDKNpI6zHCMPYrDlcLHumfA++JkJSh5+h4xenxkr2jBekkR2tNVVgcTVikdJYi1kQ6xpIhpSJQivPn2vTXYlpxTBgEOFORqIStUNJOEjpBjEOQ5SVt3+PNmzVfee0dhLc88fhjXLt2h1deeQsdCob9Hs4ZvGjCKE9Ox2xu9simc7TYIdcly+lNuipmvByTuxIdK4Tx9ImIUSRqQE7FSVVwvrXGokjpRppEK6wXVMaAE/TiIe36W/8CkJcGnZV4pxqoiANRFQgpMCJE4LB1wXwqiOKI/pon1ppSWIZrG2yMTijLgkw3ocBlZbDlioIMHYQ89/TDrA83OJnOOX9+C6VBhyGqWrG3d0RvMGLQDanTOemiQIY5xwdHPPXM0whTYmWIQIEtuXvzBqPNTbApy8kM1dHYYMqpVcRRSFWk7OxuE7c1QsL5cyPSbEHUarFY5gxHPTAVlXWUdUWRl1gjePmVr/HRDz8DrmTYH1BUU97+9CdZPfthPvzUJSTyDFTw7Xq/yrom98njkVIjlcZ5ifUeLRXOCZQA8Z5/yXpcGHI6mXCwt4etGjBCkafYqkIH6uwlbxsUOf4913YTTusdUCOExtSrMzmgg1qeDRU0UkiMt3glGhSxlGfZfhoQDVzDewKtGSRN2HqRl022lAoRspEJGmeJY01ZNLLa2WKOB1pJgo5CAqUZdLuUeYYpcoTwCOkbuAYQxgmhDs+cXg4dxThhGXYTMuXIqxIpFYPhOt1WgtKajz19hd966ToXRxuYpEtZpIRBm5s1fL8KCZKArqzwvvGyKaVwGuz4BLOYo1TYRCsgkHWFjWMiZ5CimVZ7IciAQIZIaxFAy2lC6dBJQiEhUSHDzgbzo7vsTycEgwG3pkd88H06Y39U1RMRX3nzF3lyewMvP8b1k99l1OpThQIr7pAtPsonnv44944+yb3lawzWU6Tv0Bs53t67j8ciO20Ol4Kuz3l6fZdCK1566SUS5Xjho9/F/OgWXZPy7Ic+wMXLF/jMF7/Kwd1jaudJ8zmLyQF1UXDl0af4ru/7fsZHh9jJdZRZ4USC1JCnC1r9HsVqgbcwPzkAJC5IMK0O5SpHJTFKOfIiZzGtceaEk71Dks2HOFgcEt+7h7ch3Z0rGJfQ3dxilaZM77zN05/4LsJ4zv1ZAQEkyuGtRwUCjSNzDpOtMH7JUI84nU+QEqKjJYdyTluPUEDqBPksw3YEl5+Dz/56wFIs2XxM8c5vTdi8YLl1N+e5+DJZu+D6zxse/aE5RZQzEHDhymU22hc5nOzR6nfIVJvIHlC0HuBLL/0Ch9l1Jqslt8v/g5PlCTZr8VP/+D+lWFqGvYilmuNe0vS7CwbrErf6CPvmH7LVf/D9PmrfcGkt0VIh8Eilsd7hTWPPcKam200oigpnI4SUDIaaOAzZefH7eeaxD0IUYeuSf/Czv8ZqNuZv/KX/gunRHkIqhrGiP+hQVjnWghABdVUR6Sa+pazrhvQnwTnbEFuVQCiJDARaKYq6Bhw4y1//8f+Sv/K3/yYaePvdr3H16of4v/63v4sOe6i6xXya0epohAxI85yyNkzvH9KOEmSomC4rRrtrLFcZUatFpzeiu7nG/HSKsZa0MDz53Mc4vvs1JrMFaxubpNkCYw2JjCjLnG6/Q7FakbQT8nLFeDZhsUp5+omr3D05pbu2Rqfd4tbrX+bunTtcv3mMDuCRRx7j5S9+iX6kmR0vuH1yytF8waz0DJSizCf0+5oLD5xjY2OLIit4d+8W58/tEMVtrPdMxkfEcUiURGxsPcTRwV0Gw3XyvISqZnb0Jh/+2A+wyhpFxtbmGlVdUxYlpq7f76P2h9bXbaoG7QFFkdMKYoqyIvUlkyIjEAGL4ph21KK0hkU6wZiSfmvI/mRK6QucgdA5hFRcOX8OV+Z44alchvUQes1QtTHao1GYQFBYw85gCy89ztYMwwShNFopsrJmuZyROUNZ5PRbXS4N1zFVySrL2Yi64CyhkRRJSKQS2iphoz8ky1MWRYUR4gxHLFBe0g8SFrbCpDltFdNNAuLNPpe3RrxwVXP73j5CCVoyYtTrUZmCneGAOIxwotHOKiGJdAspPFqH5FVOVuaEKEJhaUc9inJGUToqb8lcwW98dsKicCShYtjr86nfeYm0LBmOegx7IUkrJglj8rJidnrMcw9f4pd/9rfJqgZn/BM//oPs+5j91TEmLxpSWFFzrrfFrGrybIxNCU1ArRWT2pDVntw51noKY2sIPYtyTrEqcf8BkKqk15RpRl1ZnPUM+l1S6xFaoaKQ0JdErYjT1HJ8OqM/6hPoiKrIEWHCo08+xWJywvVrb7Na5ZzfjVmtVpjaoQjYzyo2trcYbfZZ7F9nuqgZ7G6RJAlbOzukuSHqJCS+yeJJ2jVHh56D0wmDUZ9Bt0tVrnj31hGL5ZKjkzFaSpJQoEQLK3JkuMCbNqEoGY4SjE+ItKS2giAeNeQ061gtFow2dgi9xxlHEmc8qyPeuvY2b75xnY2tTUb9MaKckVEyfuUL/F5W8h0feoz4PZT3t+t9KR3EYCqEaF62UqkzMh9AQ+hzzjU0ucZuhLU1J8dHvPPyF8irHGc9ZV2jaTbmgiYA3TvT0D5tsw1z3iF8QwWUwuClRDiP1OosDNhRW9NkuCmFNx48lDSNTquV4KzHumadVFnLZhLx+APbVFXJeJzyzuEYKSOUChCuAi8IY0VVFshsSbvVQSEwRUUdCVpJi3ari7OmmbBai3MNSr0uauJegpAerSPwDi1jgsBzsZOQVp4XnnuWi5cvMWh3+cJnPsWtu/t88FKX09oyqyvaSYLxljkJKtKIKOTqlXNn5EKBsaL5m7oapSNqpRC+8UFVcQwCAhU0HgnvECLE+qY5DWiiG5TweGuQog0IAqkQxtApCszJHqbOieaz9/GU/dHUzfxLxHWPa28seOT8Pdqy5mh1SL/7GEdHBQ+Pdnn39l0WrouOch45J3hz/x9wrv0CD13Z4a033yCfG9a6ffJ5weJkgo4C4vYau+cukpNwfOcatYG+Negq42Pf+TG+tnabxfyYozs3md6/Tl0suPvmy1x57ru4+qEXeeV3jpGqhXZTEI44CGh1A4brT1Hmp6SLU1QYYIwjoCDoedLlinKZ0tpsM+iFzE4nCA0HR1/h/MMPEoYx49Mlxd23iEd93HzKaGMdk/Q4uPk27WGfy5evEISWa29ewzuDQ1K5s1AhkeFMwtLPCI1kzBQ18xQXJeLR1zn50nns2KC947mP7/Kp6y8zK7bYuRJhSnjwh9v8xz8w5v/+fzSttYii7LPxpyq+9nrC4x9d0O1rEnGd0TBhYpa8NvsVXL2FVhsUy5dZbPwr5sc1D11OOJgvGPUUpivQwzm3j8fU8Tl2B5vYvAXdT1EsQ5blV9l7M8JFr7/fR+0brlBpDA6pNavlqhniBBpvLO12RF4W5GWBUgG29HgJNY6syJChYjw7IitT7t69SxCG/E8/8zM8urbN3//ff5qXv/BpTFXiTEP4K8u88U5XJV5oggQyA6KyeCGRQZMn6AuDdhHOWConGO0OefETP8oP/ukfQ0tPWlT80FMfQYoW//Pf/2X+9l/+Mba2B1BbAt3DsSTLMipr6fZ6jMcZO5stwqRPlmdUtaGlJNffvMOVhy7R6vWJYkmgFd/7Q9+HvP8FSiO4c2cPhKQTt9BCEocxL3/pyzz77FVOx0c89cTjvPLqqzz2+OPk1jEcrHFw7w6ijKkrWD/3AF61uXT+IjKICf2K3/ndd+m3QuYHJ7TihLQSBBwzn0559ukHkd5z8+23CCPFzrmLKBVzf+8uYSjYOneBdFWwPtrAITh37gq1sezdfhMI+PKnf4EPfey76fYCnA2pymbA1+10/j0v8jdvfd2m6nA1QTjH5nCdrDZILwijEFcbWrqFdZZYxeysb6BFyI17N4h0gBaSMAlo64SibszEOEen00IUDUr6fGeTvKxJsxwVhRiR422A8YY8K/BO0I0TQqWYZkuiQDPcXCOtKpQeshb1GK8WTH1GS0WozoBICVbZjNpppKuoXc0qnyOsY2MwJC9yKmmAgLZUBImipWKkt9ROkoSK3BqEgyASPPvIBQIC2jJsJFRKgbf04haBDildiQHm+YKqMlB6NjtDvLaEPqQsKgo3AyypnZO6kqIKOVlkGO9Qos/xLMM7R9LrsTc+4nSZMNwakWenhGlKnS74hbeu8Wd+4Lv41O98HqXh33zyk1x9+ipP7VzkJD2mNIZYbzJdzYjCEO8qetGIlJrFcka/vcmt+T06YYdKekztsK4mNQWlcSC++Q/qH1bnz21QFyWVqTmeLEhPSjb6PULdJopD6soiEJy7uMtW1ciBvHfYaol3gihKGK1vkHQOyeZzitLQjwWxkgizxKxW3Hj9Pp31LUZJH2MPuf32XTqDHrsXzxOEElOGEIY4X7PIDcNhgbDH5Pt3KOMu8dqDHJzM2djokWc1pXCEccQsq9g7XhC1Ks5te9b6EldOmc2mVMN1ut0WSeTI6xAlMpAhi9P7aOkQYZew1eeJh3e4tLvDb376s9zZ/xrPXb1CYErWRx3iUDB78yU+N77PM9/9cUaJ/pZYo/+HWIGWKNlsY7xvSJ/ON/kf/gz+8F6DxVnjZb3kzu3bZFmGUhFZXSJpoDy1a7Y8xtmG4CccIDD233l63vMZ4EFFjc/JC4+SAcI1mysPjTyGBpChpKIsSpRUaNlAJ7wxnM5WKBnwPS8+Rb/X5e/9w19gllUIIYmiBOF8E3txFhpc1BUoSRLEOFciXEC708bYClNV5PkKISQYg2yH5EVKFCYoWeGcw1rLcGPA5Us7mLDFY48/xiOPPEKr3aYc32QQR6wlcLrI+EpZYfBYY1FxBxd1iALNhXPbvP3udR5+6GHwDfWUqsIIj3IOi6dUklQHBHWNczWoAOEcmZQExqFEg5oXrkaeyb2k8LSzDHoDfBRS25rSlBT33mmwzt/itTnsMR4v2V57hgN7FyENy1zgbUm3P+fNg1/l4QsXUVbyHTt/lS+d/q8EyRE3Dj7PnaMLVBWs7ezCakKpAl554y4b/QRjLavZgkc6H6ff7aJVjXCK3s7jrNIpH/zgB/nXv/ZLlOMxRZYTd3ZoX7jE7//Kz/DC9/wkmw8+wf71VzCZQ8oCowVqNmOVHeFCTRgGOFOShC1sucB7gTQWbzy+aN55gfYUVY23ktXBPjOniEdrbG1v0umGpEmIq1K67S5xovAOPvGnXuT6m9e4LgUXL6xx92DKLF8xG45xzhDSx+Y5fdVBEXEgclb3FnSmCdGgIMsco6dCrj77GvcPY9IkY64UPb3kiQenvPy5NYZbp4zNOyxExuXHDRfPr2FbMUenGXJryY369/nA5Z/gpdlXmcwrLp1znJQHnO89w/T0hHF6i7VOn8k0p9921PVjJK1PU3CfPCugpeiqq5TBfU6WM06Xjg8++r3v91H7hquyBolAeEvSSpqBVaCppGG5SgnDkHa7TV1bxFmYupKO5XyBRBGEbc4NN1gtK8bjIw4PTnil+BIf+bN/lqPZgluvfpEwFqizYZQxZSOlFgJbGBwBsQyasFwZUlY1ItB0d3o89Mgj9NfO8egTz3P+0sN020M2t9Yp8pIoDqhKS51E/I8//X/yd/7Wf4uuMp5+okMNeCcJUSRBxOn0FI9lfcPQ397hIy9+D/3hJR575HkuXXyA/XvHPPLoA1S5xdYlv/fFn6MsFGEYEsUJVVoQRYo7e/e4ePECN2/c4rEnn+DwaEq3N6Ld32A+PaVMUzqtNqvcIIOEfD7jYH+fovZcvfok167d4NnnH2C0PiDG0u+3uThqsX9jzPbOJkVeoKVia2ub/midt6+9Ad7x+FNXqWpDpz+kyA7RQUBZ1wRByI13rxNEEcZU+HpCECSYOkcoRRBqokiTpil1XQPf3BEAX7epKoocAs2d8T360QAtPMasEGiOyxlPbF5kmWcMtAIMj2zvkJqKRGkCrRE6JNSae8fHbGxuMFnMwEX0ki7jbEUn6tDtKCpTsj7Y4XS+oIVgc2uLtDJI6bF1SbfXp6ospbEI4Zkvc/4/9t40Rrb0vO/7ve/Zz6m9q6v3u9+5984MZ8iZITlcxJEYmia1wJJgSUYkOEFsBEEMyEoEJAGSIDSMIAscB0mAOEEExLAASxEtSKIpURQpkaJIDkfkcPb17lvvVV3b2d8lH84lv0X+QFqjCfR8a1R3F7rq6TrneZ////evljUrgz592cEoRRhKVNlkVfUiTVUqwqjD/fQ+nuPj+TE9r820zAhdHwFUVmNqBdLBx8ENQny1QKu6AVH4LY7yA+5ZB5OWREFMZjM6XsQgaZF0enjWEkURhZkyTFax0qHtBYzzGa1Om1Qv8ETEspihK8FLb53gIJCuoDY10tQIASfTAl94LNIF2bWUMBQsljN0WXL57HmeffYFjIV0mSFFTJXOWGQxk2qKsIKlKah1QVn7lLbm+v4YX1i2+xeRrsOVrcvorAIEXgJSdEgqSyks0r77hyq/3SXqaIplinA8RF02eRHG4EQxru+RLjMc1yeKO+i62ZzaWjOZ7jMYbmGtYLTSZv/4iCxb4G5u0W+VqNKwuF2AEdy+sUt4cZ3V7U16yyVe4DOfTRG6wFiJtQYHS9Lv4LtDqjKjNQjx3QhTHvKjH3mcslJky4xKGQJPUtYGKXIMDrUyxO01spnmZDnm3tFVzu2MqDstrHRxhYeH5t7xgtHaELPYYzzex9ncQgqHT//NT7BYTPjq157j7Kk1yqsvUm6cIWl32L35Bi8++1U++e//Ax45t9bc+IrvGSv/env1l1EWELLJw3OlgxEWH4Exstkg0YRHfi9XCkdw7/otXvza11BWM3+gfy8rjZZec4Og7IMhrdHxiwfv5fcGNINBInGkRVdV85XjND4ua0A6eI5EuJK60jiyuSxYYVFaobRFej5B0kFgqOqCqi64cOkp/u7PfIL/5Te/SOA5GCuRnoeLxTgCoS2ulAigrGpcCYVT4/s+URhh/AAhGg+qAHRV4wQ+WbakqhxaSauhnC4zaiQfevppTp09w+kzp4nimMX5i0R2iVMXeI5k5eCYu6yQJDHT8QlHZZuzLY+N7VV+51vPcumhKxhjCKSL7g1YVBnW93Ach8zzcRCQF+QP/JYNSKSm9iNsXWCkg2M9pLUNLREP6T4gAkqXEoXyA0xRkgbhO9JfP8xa9X4B6+7y9Vu/xxOXf5KbR1+mF4dokZK4T0H/Hu3wAm/sf55v+v+MvRtncUPDM5d/ipNTz7O47zA/OqDXafHI42eJlsd01vtgwQ1azO5fY1nnRPHHUX6KLBbEcQ8hci6evcBL4z3yTFFk+3hejN9e541v/B6jKx9msH6W5X5JtSwIPYPfSqjLElFUBIlLntdIT1Mqi61KZscVftyiKiq0UghPgHKII4tSJUsVM1zZpq5zoihgdWudq1cPWb+wjpdEnL10nhs3bzMZH2C0T5oLjtI5lVNRLSFJY5xWQGHnHMs52gZYJ0dlgsK1nNxeEEYul85n3Nqt8FsDkgTOrfXYWvdJyy1ujm/R8XxOr2wyTJ7AhC/QOn2Gt+//EdurIQ9fcNk98djZCLHm07zq/ymBZyg55M5kTrcXcnrDstV5mK+/fZu9hSF0vkI7aDNeSjZ6lt3UcFC8zrbbYS3u40WSRf7up//iyMZzI/uQdZsAACAASURBVCSO57BcLqmNaT7npCAtcrRqIDv2wSHWcDik12kzOVlwNJ/x5htvUaMpTMFwo8Ng0aI8WvBjP/vzbGyP+Prnf5e8bAJ2a63wAh+tNTJw8ZRFuBZlDdY61NbwyR//FKOz51lZWwMRsrPzMEngcXf3PnmRky5TLlw8S1FULPOU7Yee5PN//CK9Dvz0j/8YXljz/g8+QdjewRqHX/+D/44bt/ZZHSa8+PwbuDJidbVPFLV544XX8RKPP/zClzh//jy2fJvjk4xOe5UwjkizHCMs08WcIErIqiUbGzu8+erbDNdGvP/pJzja3ydd5MwWC3ZOnWV1s81z3/wzjven9Ho9PvyRp9jb36W/2melP+Jo/4DTmys89eEPcOvuLpOJptevGJw+Sxz5KFXzxssvIKTk4pVH8IOQyeQ+h0f3MFozWF0jjmIMcO78Ba6+/RZREFBXivt3rrO+fopaG6qiRAiHsizxvL/6qqq/cKiK4ggr4Exvi6yqCf2AosoIg5B8XDDO5kglqBS0Wi1KmdJ3WrT8FvNsTqEqSqNxQh/tODiO15hTtWWeF1QPYACx63Jrb5c8zwlcjzVnhenJMbiCwA2wwqGqM3JlKG1GK4yICQiERCjbJKSXAq1qHC+kUoZukiCl4OLK2YYImOZ0PJ95OkcIn2VVIRxJKFzKusKRoPMCoxW1MQxbMYflsvEplBmdXpu8rqmVJoh9CmvJ0iPOdNYYL2Z0ghBHgtENocoXApUXLKsZGkhNhrWGk2mO64VYxyKUxJOW2hgQGiG+d8qmQCsc4eBFIcvljKIskI6lv9LDt/Dm27d5//AhlDEYa9BC4fkuuS6pjCLoKHRhUCJl1H+Eu/dukjk51kCoPIo6xxioqpT0XaBT/TeVtSDcCDcwhEZQWoVKS7TICeuEIIyRokDXKdYDz3eplUX4Pnoyp8gWuJ5HqxNxfq2HwbK/d4BZabHVD4iE5qhqoBO6VggBUSuhqopGs681QRKSplPCuE02mXCsNa0oxAsjAITfJ+lKWtJn67QkTzOyIkdYSZlnuK4HAoKoR5UvUfUus3lBYUNafodsWdCKLLHMcPWC2VFN6BpEpZicjFkbDEjzAovH6nDI86/f4KlHz7KYHtHr9AjiEH844O7zz7G19ZP0ggY6YGn04H9d//bLdZ0me1c7CEd8H27QZFY9wKI7DtpoHCFRRnPt5nWWyylGGbQ1lEY19DzhPjBl68YETbMdQtjvY9gRDbkKAcbSnKQ234k1BiEaBDuOgxQOTrODQRnTQFwCF60U2mjqLIUgoFzkZGkBQnHloTNIY1DagmvxHIGQXhM+7Ci0NrhuiFIVIghQuiaKIlqtDmm6aJZrUj7oQ1BKI5yGjlhVzcUUJPP5lI8+dIm19RFhGCKRDEdD5nszuu0ErWtWQ81doKhLPN/lKFU8tBkRRTH55JCyKvEcF6E1Ya3pLJdUQmAclwCBkLKh/rk+te+jPK8JgJcCadqEnoNbKUpV4WtDGHh4KJAWpSuM9BHdIdMiw1ss3tE++2HUueF7uH/4Bka7uOYOp7sjjrMDKqWIE4e14U/x6uGv8fD2o+Tm2yRJCycseW3/eeKWRQgHxxMErsP47j1E4WDdjNAznCzvsv6+j7J3cI1rLz3P9mKGKBSj8xcxWhEGPt1eH0dAd2Wd6WSOKgp0tUTXJW7k4/gRjguO52J01cB9XEmZa6R1qbOCuBUzH5doZdHa4gnB8oEH1ZVQVTVKSJZ1TTo/Rrbb7B+nvH/7Ag8/3GGlmxCEHnmacuHhKwRf+RpnH9riZLwELfHKkFqmCAd6oxaLm2NKNJ6AvDIIC7oMCSKDFzos55bZXshKe53WRoeL3dO0WkfsV2PWhj2MuYnkhPvlv6JbQic8YtANGFrBUzsb/Gk55uWj32KZXUDqhKmaIPDotx2MBm3Ada+htKATL6nqgllqOLf2afZm30THHaqlIFtCVASc3r7AZP7cO91qP3DVdXNYgyPJi4JaKbTjUFZ18zla14RBRFnWWNvI9E5mc6LAJWnFGM+nk3Q4Ojnm8OAELww5KvcIvBZIw0/+7b/Dn/zu79BuJZRVju8ElGWNlA6TZUXoQuhG1EVNWlZs7qyyff487cE2ve6Q+SLDGMl4PGdtbY3A9RmurLK/f4gULmm+ZO/gkJXeCqO1Np/7gz/lH/+Xv8ru/hH/yd/7B7z8yvN84ctfoqwypCe5fOohfNnCCUO2T21iHUW6WNIKQ8LQZzE+RsgBeV4wmU4Q0gFjmnvQyYRTW0Omk2ParZDz589xuL/XvIZhwEZnm/7KiMVswnh8TKU02+sbHO4dYKqSja0N5icaK0qms4xrt3a5u3evUVy1OuzsnOXZP/tDknaLfm+I9Fy6vQ67928jhKAqK/r9AXWt8H0HK1063W4DR9Ia32+xOL7H6dMXqcuSOG6gHVEUvSugW85nPvOZ/88Hn/uT3/1MXZUYK1EPSFJGG6yxOK5PywkRRpGrirRMWWYZ2JpFuiTwPRbZlKIqkULgGMXhfEzieVhbU6ic43TKSTonUwXdMG5kU8UcaSH0PCIvwPckWmesxkMGccRmZ0A7ajPq9Qmljyc9WmGMH3hsdlbpx0lj9JZOE1qJAOnSciOsL6hExUZ/hOs5tOIA6Xg4oYPvxQSOSxzEtJI2nbhHN4xwXYeHRmfoxR1cKVlrtei5bVaTHjEhhoDAuOSloOUHhJ7fhFsiiT2PXtgmK3Mc6VBXimu3cyySyA1whEbIBu2NysFCHEZgDLLWlFlGr53gug6T6ZS10RpxKyJbzJhlNTvDHv21HVRlOLX+KF7kIXRz8ttyW3TikEqXpOmEggpNzryYUVZLAs9pYAcmxRXwi3/7H/6jv7y2++HXV//1b33G8SSe62NqS9BqEfkenuc2vrOggxc1Q7gQLp3IR+uaWmuO9o/YOzymLguipM3O9oBBUGGRZIXBegGuqMlygzaW6bzkaLJkNPQZdAOMEQgvQAjLYGOEIyV1rWj3BuTzOcvxGKQmafepDbSjgKJUSC+h3W7hBj5x0iGJIzqdFrUWREHj7ziZppze6CJ0Sb04oi4NUacPMkVoS1Eo6trSHXQ4mZzgBxHt2GdluMZ7H32Y4WiHKOlQlBVFWeD6Pscnx+xfu8qd23scznI2tkeI731YCflXf2clkndtr2ptPyNohpzv7ZSUNg+GIQmygUwY3chVi6Lmueee49XvPsdymTJPU4zWWCRY1ZyM6gc/i0VI+f3TWGiyr1z5YLAyAv1ABvg9aIO15vvvt7UWz5HUWuEgvk+NsjT5V47nIdE8stlhJXIZDAYMNnb4vS9+Dcf3CeIEay2R72OsxqX5e3TdyAM91wet8T0Hx3WoqxJVa6zV1GWFIwWh6zVBmgIcxyXwfGqlaAnFcNhltLGBkC6OEEStFr12TOQoQqFZawW8VEckrRZxGLIoKp5cjbFG8fJzf47orrGy0scDvDevohcn+MY0z1uVOK5HqDSOrojqGr+uMHVNT2m6lSKoakJj6BQFoVZEyqBcBy+I8YMYO77Pcvc2IsuprOXpX/3P3rV9CvA/feG/+czZlYC97HXCzmtUtWBtZURXDNhV9yjtt6izGUJ2CMUl1tc0aVWgKsWZjU9z84V9NKDrClvlaFOjfRfjdLBaU/gCF0lvNGCyd8D9a6/iaMVw+zwbp7bY3tni4O4Nxrv7PPXhjyHciL27b4PTIwgjppMjXOGA0aAUVa0oKoEbeCwmKVkJkWtwheXoSOOFAWVecJhWYCXTLMNqybw2tIebLJczFpM9imWGqZc4uqSc7VJXBmUMYXXI+vlH2N29z+H+IaLrMp1lGEeTDEuywzk20ZhK4gY+ujaAQ+j2ePqJD/HMEx/k8bOf5G8++ff4iad+iU8+9TeQS8v22X+HF+99ll6yzsZqh/dsfYyWPMO0zvCrC1zu/Q2Gq9/lf/3tmxylGquewY0KtiPLUtRYbZFSEyQ+xdxw5zhlbypxXctat0tZhjx0rsCYLio7jUePxfImZVhxatOijeTjj/2H7+pevX80/cwiTcl01UQ0eA4Ggef7aKWQQhD4Ib7vIRwPjcDxfLK6pNtpoXWzgdraGHF2a5vHLp8j0wFIcKxiNi9438OX+eM/+QrSAccNUNqSF4qXbhzw7J99g7du3uahJ5/mn/7fn+XC4++j1pqT6QTfCTi9eYleKyYIE3q9Dn4Q4koXz3MYra3Ta7f5wPvey+bOOqurA9IMLr3nIyzLkm5/g9NbZzizfZknrjzOpXMX8cIY108wtWYxnzBcGbK+s8XKqMv5i1u8/Pv/Aq8vmJ8sGtmjUmAMURhgNShjefK9j7G2vsr9+7fwXIfbt+4wWtvADVpoo7l69RqnT50lzRZ02gNWhysc7N7hzatTHrq0wZtvvMW8UNy8eYcQuPLYI9gq48+/8Q3e8/gVkiQEobnw0GWOJ/vMTiYARFGLtfUR/d4qr7z8EkHURkqB44JWJcvccPPaK5x55IO02z2MMTjug02kFAw6wV/pXv0LN1WTkxOs1IyXUzwEgefheQGVMST4VLamMJq6yJvsE8+F1BIGDadfaY3ShtOra1TkPH32YWoUWluEsdw8vs1KtMo8XeBoSRx0MUqCgCTwEEISRS3CpItwJGlZcjAZszYcUtU1oeeDIwjdEFzBVBfkacZJmXJ6sMl0OWdjtIWwgnk6RpclvvRZZikShdSCNEvxXZ9pNmEQxeAIIpkQYEmzHDdwmeYLllVB5EUYa9hbLEjqHGMtdXWM6zi0w4BxltN2EvK6oLIVLSdmaQvyOqPCIavBF/KBn0o2RnKhwVgUBiVVQ/0rUozVhL5H6MB0coIjJbP5lLosWVkZYKYT/vz5N9h2t7CyonVyh07YxpEB/d4pKl2yLBbsdIa0kha+02aRz5l4E6yoUdZS1IaVTpdZ+u7PVDEo6jzFS9oYVYIjEdLiuQ5Bu4sjCoTjI10XhKA0jVRgejwhLWrSZYbRVSNZddrk85JJLgl9hzKvSNptBumcvNKsrnQIHLhzZ0m2BifHc3r9mHKpWJzsMzq9w8rWOsLx6fTWsaZmcucV9vKc1bV10tkYolWMrqgRuK5DqeomMNUItK5wHcP6sM3efszsZMloa4ONU312r1/l+LBG64DOyogWhmw+RuVLusMdrLCUZY4UHhLLdDLB9V2kKvB9n0z7dNstVH7CtCiYHe9x/9UXGFy4wgc+/AQdH6wQf/UHq3dpadsMS81q9UGw74Mva1U3w5ZtEOUIi/Cg1prxbInVCmEtVkgQAsdxcXSBhmbrJJucKmMMYdjEAhhrMbbJTmpWZAYhm4EKKRuQhbWgFViLEgLxIF+l0+6SpSkYjRAOQeiTeC5J6HPxygW8qMXdgyWrvRZHaUVLSkrT4KSDMEJXFaEfYooC60BRpaAt5C6RL3E9F8+TGNWE7RoLRmgc4T4Y8DxqVTEaDplrwcc//TMNutxxm7BLx+K6I6yeU58c0mm3EPeXLCz0o4SDsqbOlzhOzIW1LnvX3ubcuQuI0uCsrxLdvYZ1PUStG0lfOoUgoVaa2negrnCkg1A1Qkh8x0MjKY0mMBrhR4RZjlSKuRdSKY2MAmxZ4EXRO91qP3CdLK9x31VcHJ3i6Ngj7HiMJ1Ny9zUS+1HSuaGyh5TqhGHsc3v326jyLJ3uGtJ5rcnsqi1xHBKaivkyo58GzBYLnDCgvH5Ef7VLv7AELRfHXeH2vZt4vsPO4x8jTAZ8+OOfYrx/xJc/91v017fJcol7cAfLGbwgRNUpJwcTNrbWKHINjo8mojIFnU6HZVFiS4uykmpRsCiL5tBKVOSVi/EUaekTuS2K8ZhH3vcR1tciAq/i1Rdf5u71W2xujej3JU9+6COsP/oBVtb6tNUplpM96p6HUIbpcUEiHaz06a56dKKztKOAtbWzfOyxR/iRD30IYR38OAIcjLL88ed/gxs33uJ9Xo9feeY3+Oyz/zvH89/kuaNXqK3AkaucHnaZzg74xotHbJ6KWO8/yr3pV4hVj7HssBM/gogle7MvosoB8xxCucKVTsD+nmZcw1avz6XRf8zN2/8zmtukxSHTXPDe80MKd5dWr3inW+0HLq0s7biNekDfS/wAR9cIpZFBgNaavMwebEI8Ak+S5Slx6JNlKb7bqIfG4xnaWMqp5bHLD2GM4fa9u+wfH/Ha8R7/229+ll/5xZ9HK0shLL/+23/CtRtHVL7l6q058zzn8PCQh575JL/+//waVx7+EEEYU2NxopB+0qYuK6Rt4ii6nS6hD07UY5FmCAHD1T4H2RFbW0N+5Zf/U6SU1Epz7+59bu7eYXV1lfX1EVVVEoRDjKlwHInQEpt0md6/wbX9W4xWVhl0e9RaUZYllRLkVc4yX7LTX+f27h3CMGZ9cwutBP3eiDIbM+r1qCpFEifMZlNGq2vkZckyrWgNTvPBD1S88J3XqBR4cZvLW+ewMuOb33qe9zx2mR/78Z9iPN6jWi7Z3lln73DGnVu36CQJRZ2TtAVeEHEyPaTfbxMGjac2nc3I85yt7QscHO1x44VXiD7aQylNFEWE0V996R/8G4Yqz3OIpU+/5eNJl8jzHxCrXCyG42yBzeesdHssyyWFyVHCcpBNGLU2GLS6SEcgqEhEm0VdkWdLwjAm9Dwubp9nlpVcHA3JVYFEsuNu8vb+XfxWh0HcYpHNmZua2CQcViesrPcJvYS8bKQcuSqoTY1Xw83d6wgpaXsJZbGg5Tvc3L1O4kWUeY4ThLTChMCL8B2XtCyI2i7lcsFKa4V2KybLCxZ5hrEW5UCVl2gsk3RCYAKOsopldcKHz74HPwiRVlDUOZP8BOEp5uUSiSEWMSLwmC4O8OKIUAQYHSDtHOloJAqcBu+lTdZIXgyoukTYGqENw27CSuJwMmsC7KKwRZFlxIFHFQaMpxVnV7ocFgfgVuxO7/Delcu8Nr7Pen9A5EVEow1QEYVSZKbCiTwmyzmRF+GHK0yznCx/90tVqJrsMSdICNodTJ0hXIE1Taq644foukabGklFlissEUYLtBW0ooCiLphO58R+iINHRMrxBEBy5nSP0akEN5hw+3BBL3Rp+zWzg5zKSF5/e5+1zXUGwy44HlpV6DxF+gFCBojWiDs39xlteCTxgEKV1OWcGg3awQkHhJGLNhZDI50JkiFnThVMJilZuqQVDXDikPlCESQBWbpAWE3YWSWUFlueUKMotCSMOygFQRghdIrraowuQBVUJqQgpEqPcKXCi7osX3mevVde4GN/99/jVDdo7ux5F2yt3mUV+RKlJdZYpGPRxoAGi8EKS600aZHT8rwmHyUrCcMIN2qzzJZox8EVLr7nUhYFcbsL6YJKKVwcrCMQWIrygU/CWhzXxagHREEExmiMtQihEEgc1wFtsBI84WFQGCsYDFdRqkIpidYWRwpa7T6e0EzHc0ZnfAKny9r6iKO37pBlBUpVxGFEUSzxnaAJJfYCksBjkRdonVNkS3wRs5IEmEwQdruMJzUYi9a6of85IdooIs/D8SL6a6scvfx1Nj/4KYxRuK6PNQZdN0HFVmh8N2S9uMMt3acKAgySxWyM55cMY49cLbn19lVatkYOetBfIV5mEHroxRhhXWRd4ToC4XrI9MFr6LloBMYoVCVxMA1EQylsA5TFCoGjNH5acDBY5W5RvWM99sOqQecOmofYO3mTth8S+SDNDnvTffz4iFlec3nzHGlecTw+xOif4NLWBW4u/4SlVohE4cwcyloRexqjLDMCKKZ4wuXc5TO8/q0/Z7x/la3zl9FOSdhJmPz5d7h1/x6PPvkheqvbdB59Dz+3vs79u7c5/8STfOfZP8O1UBORTzQ66rJYaNxkE60yKhMhIp9CAmnJYlZTWqjx2Lm0jruf4TqCJ4cRRVYwNy22z63zRj3FDxUmm/Po049z6eHHePnF7/Lqs19iO1pDLw7w9ZJ/9xf+A8LPfY5nX5kjTrkYuSBSawxGGyTtkNVeh5/7xE+wuXEaz3OQSGpdUZdLDu/cwCifN15+kS9/8XO8eX/G737pWf7zX/llrqw+zTcP/wUaQ7kQnN4K2M1T7t69zqneNremu6TmbQJOI63g3tGblIOCUXCKW7f7bJ2Zc+dOwXsfVdw7PMXZRzXLe2epqqt87uv/Le3ejCunR0j9Yb70yp+yWJacJyGQz7zTrfYDl+d54AiMMnieR1VVhH6Aqmvyomi2/0aTJBFCgLCCdiuhKnNcx2v8xWi63Q5aN9l7rnTIsorTO2c4vXmKn3jmGf75Z3+T//7X/jn5YskzH/9bXL12hzBy+R/+yb/kxt17BJ6H43vcu3dAO1kjCkPqumZ9fYPjkwnzxRJrLb7nEToerU5CpTSJJ9C6CXCfz1Ja7QjPp+mbooH2bO+sEcc7D9QpNcZqyrJsrDdFzeH+fVpxi+f+9Atsjtaoi4paWKbTKXVeUFaKdi/m/IUVFosZK3GXtdGIwPfY3d2j0/W5vZ9xb+8FrK7YXD9L5Xi89OpLvOexx6irElMt+fa3XmB3nLO1fYqonHP33g20dPm5n/skOhVUZc7ZC6eZTacUeUkx3cO1knY7IQw9ojghTkLqQjMeVxzu7rNYLtk+c5ozFy5y8/pV0uURd2+/yFMf/xhBt4PWmrI27376Xxg4DFoDhGwIIsrUSCSu8NBCs9bvcqo/Yrw8wTo1XdlBSBe1cBmXKcO4SxBH6CIlKxdYE4Lvc3g8Qbkuh7Mpy3zBoztnCQOJFA6LoqBMNa+c3KQylp3uKtNsRjdesrWyxrA14IVbrzAMe8wtxI5Pp91mls24tHMRpSv2phOefftNPMcwiGPc7hBjFeRwZ3JMx/NJixrjCebFlGE0AFJWaOHEMWHtN5LGyYLeYEBd56zGHVpel/aoph9eocxKbo0PEL5HlBhk1Ibcpxt2Gfa3UFVN0nKJOhepbUnoRdzQd0Dcbi4IVUYY+AjXoVYKq+yDDCGN61jSNGUhSmzdoh8FjCvDIpvT67XY398jqzW1qml5HXwnoBu2KEOY2Jphf4WJXrKoZxzdrcjTGZET04k8pvWcolIsygWmOma1PcKU735SldEVRtXMDvdpDwaEcRfpeGBqjC0xxsEKha0KDBrX+hhhCKOAdtRg8csqQDVxwSBDRpuSQSmYpYqT41mzIdAlpsiZlkAv5szpDvu3jimqmmdffBuB4MqFHc5utDg5KThzZoQVMQd7h2yttUEIagvWzBDWIZ8eUBQCr11RVyvEkYvrtai0olIl/dUNEIeoctFgWyVIP24w625CNwlAa2rhUWmX2C/xrMWRhjRX9Hs95rOMyvMR1QRharQcEAiNF7eIw5hiuUuhF9TC4w/+r/+Dv/+rv0zjZOGv+RU/5DKmAUdoa6myGinBd31cVyIFaM/BFYLJbEma5ty4c4/XX3mNfr8PVuHlOUZrlnUTYl3lOVprMIDLA2mgbuCBsgm7Ndo88C0ZGvSf0wAqHnjpBOCGQQOz8BwC30cpTZFnrG/ukOcFs8kRnhcROJrVtR363RZ5tEM/DDiZZjS/2eL6Plo3WTHGaKQQFFWKtSG4EqNcAs8jCVx6rYALwx2eu37AaNBnuVxQ2WZrV2mFJzXWD5A0w96rb7zF9tOfQkivGRaFAD/G+CGO9XA8eG8Ldhc505kl8hNuFW0ueRZhSuJqxkOXLmMXKWe/8W2y+QIjLLKsEV6I8BtPmzYVSIkNAkLHa8AGD+AVntAYIahcD08YVNDCtZZWEHMUhNBd4UfPX+H1l7/5TrbZD6X64QUm4318f4W5nSJmIaMVeKT3I0xnt7iyssnB5BXWk1PMqpI1r0dqvsrIjyhMl/jUIZM3Haosp9PziWJFpcZIafBExf7BLR79yBOk4/tMxwdsnrlEVRpkd52kt863vvz7nD2zRf/0ZeJWh/e87zEcN+CD738SpQ2vfPdbfP63v0CdCXI0AT4VFsdpYwPFyuaQ0doTDIYjNlcTVk89hhcUFOMxs/ExtsobiW1leOPmnMFjM7RTEYuKk9vP89CP/ATzySZB9SFKU+JFIYvdt1DphF/6pb/Pz+R/hyzL6LZd/HjlgZzXRWIa70hdkucpR289y8Gd60zu36R2Y66NNd987hUcW5AEgkuX10hNxo0XvsUB8CMf9rh1s8f24KMEssv5D36U33juvyKvJT+yU/DUqX/MF7/zL3n8oZy3b5YYXiQcCPRS8YErn6CsZqyOJhwczHlkfcCt6SrCvoBwFYXJWJ6cYavXptfeYilCDq6/8E632g9cjueiaoURNHEVrosRoAV0223mszmB3/wve65LXVd4foDvB98TDRD4Plle4rpuk2upa7rdhLys8F2X40XOT//Yz/KbX/08eVHxT/7Pf8ovfupnyMuKq9de45GHr/DWret0Wx12trb56Z/6Wd6+fpXQaz5HRqfOczCbNANfGKHLqpFrS5cw9BlPZnQ6bWpVIKUkCFpYY4nCBiuOlezvzwgiB9dJEMJQliWHhwesr69z+sIay8N7vPLdP8Q3kLTb3Lx9k8DxMGVN0u5SForDw1tcvnwJxxHcvnWLJIyIk5DFfEk7MbSjAVevXkdRIxzJYNjl+GCf8XjCbLHgA09/jOdfeJXiZJ9Wp0PP81k7d4qXnr+Bp/Z45ImnePOVYybH+7zn0UdojRKuvXVMVZV4QYA1muV0yb07V1nf3KHfHzFfpJxMDjg+3kPXCl3UvPn6d6g16KKGB97fdwO1+C8cqmoBaZ7hRxG+cFmmBUu1YCXuIhyPWbbEdySjzhBkn9pC5Eoc6zTQCEeSLRYgXJAeORkJIaurI9KqObUctBv2vC8TyqrC6pyqTpmcHLM8Voy9PXrdNiubm1y7e5v2tseV3gZB1EGrguv3d3l5f8zZzjaxH+B6HqFRPH3mHBv9PtPlAld65KYkcCK6nQQETA6vInDpeC3iJEZQYyTsVQuW5YRQRqxsBXD6KQAAIABJREFUjljKDFsIQm+NOBmiFie4Xp/D/C6PXfowqk6ZpSm5U7B3eMStg/tUbz/H5mCVIqy4d3ifdjeikopsWiFsI8NxXacxb0sJtkEtV0o98FRoAs+hqi1ON2ZyvIcSAlUYQidifW2L63dvg+dT6RzjSeZlijCa0I9IdcZyMcNYgzRLIt/l0UtPcWf3DVztsraywsnxFO2E5LlDqZy/pHb7t1cnyzmeEyJljT0+RMULwlaEKx1UVZAXE4KkTdhqP4CAKIzKEQJ6SYu4LaHQ3DleMJ+OCf0AR2UIx6ET+uwezhj0POoatreHuEKiEGRljN/q0U6XdErFPCt5+Y1btIILBDqnyjOEW3D27A7LPMN3BXVtON6fUhYFezPL1sDjZO+EaKuiriXTykOEbZI4BOmyubHJZHbCfHJEGG+S6AOu3ZtzMfLJ8pp20iMIXKQtEF6McSTCaFpxxHx2guuHFIu7KKWYT0pGmwkKhQwCCgOt3haza68R9vosT2Z85Ssv8vRH30fbt/y1EPCHW2XdXBhcKQgSH4CiMihlsEpT1prPf+HLvPnySxyPj7h9/W2stERRwiLICPyYsq5Q8znDUZs7+/sIVeK5ovFHCZDCaSRy1iCtQIkHlL+GPYgjLUK6WNMc5Egh8aTE8XyCuI3nQBi1EMagypoojtFmgG8LLg0S4l6L3PHZGaxSLk74+JPv5bf+8I+o6xIlJJWp6a8MWc7mlGVJu9sDLLKuENZS1wVp6WCDFhff+zA3979IkHTJfMthpalyRVrX1FYSIEGCripeun7AJ9IlXtwGRyCthzYxbhjSXhmgdcXDZ0Zce3Wfb1cOjlvx7cOS004ziEpdkKUp84Nd7h/dp5SwFkQMHInT6+Pu3sdRFR4OIl9irKbQuhneXBepNKXjEkqBxKUyFlPlCMcFDGnoE8YJsze/Q9u8+w+qUrsgSgS+/whrrQFj/S3qOqeFz/roKdxyG9VOmaseW8kZpuV9bl+bEyU1W+spZy7B4r5EqQBrBb2VDpN5hRaCtFC4R2MSTyNMRafVYm//BiunP0RhSl59/S1Cqdk9KpnlbyHUkuroNt3NDZLWkJVzD3PuzCr/xT/6r3nxxecZrW9RFjm9/gqtTo8o8JESyvSIqsjxAhc/HpAv79MaDvEDh+V0wez+HZAdzp8+xf2oSzrfQ6e7dFfXUIsF7/3YJ3jo0UvceunrpAvF7guvc+Y976d9/7v0Tz1JHIQIYajmY7IixQtCpFXcfuU1bH7Mn33h98mMojPaIux1ePS9z3Cpu0rn0jbb7TUcuyCSHqWEsB3yqUd3eO7GG1zbTxHOZ1kbnOfa+LN89InHubW/wvOvvoRS/yP7ixdwxwMeP/NpSruJql+kN/h91DJnNr2KTRPOnh3y9tG3+I8+9a+4cfLPuDs5IXFqcm+Xx8/9PHP1O7TEx/iK/No73Wo/cGmtG9KfarY4WIvrexhjqKqKVqtFXZcYa6jrkjhMmuuxHzQHNI4kz3M8z8eYBnwR+gG6Vg2ATBgiR3GUnvC3fvRjxH6L3/vaH3B17xa3b13j/Y9/FM8P6Az6BN+756gKup0es+WclbURkesxshYjBEHcPK9RTR7hMp1z+swOWmmMMezvHZFnGb1+D8cR+EFAEDnMFgqloMxLPF/RbnVot1tIx1KWNfl0yXq/y9HxBCsERlmCyGe8WFKenHDn7iGPPHoeB1hfXcUOVsjynDD0mZ6ccGp9i9KUfPAjH8DxIr765a/hSokxsLZ5il5t+P1//TkefuQym499mEpb4v5tzpw+w4svfId2Zw3Xc+m1DIFcoZ0kiEhy8aErdIYdfNflcPc2xtRsnz5LfzBiPDnCcVyMqhDGEHgBK/1V9iYLlIEqK5vcL1U1snWSd7jb/uL6C4eqVhziGJdaWkqlGRdzNgYj2mHC3eURvX6XSTol6vQxnoBFziJb0ml3cD2PxPGwkSEtS3zXQxaWclmSiZJlXeL7MUWR02v3cW2D9vZECL7ldKdPZ6WNI12sq8lNSuiAlE0QmKwzhJAksYsrupRKU7GgWJT0gy51Y0Uk9BPGxZK8rBl2uhhbIBxBt9Wh3R6yzAocIZlWOW1ZE8QeRiZUhabXGlLM77JQOa71mKl9jtMD9if3MdLy0pvP0e90aPfWmB3PmKsZQdcjNjEVNXHSoteKSLwOR8tjTC1RukYgMFLjeAJrdINPlhIpaf7pqxrXlY1cYjrGYDFKU9MYZgWWdqvHbLmgqktqA770kLiYuqauNFJKrG5yXqTvcnh8n8V8iRQeukrxfIc8q7//erzbq65B64o49FG1pi4l0hXgeUhrqPMS40j8SDZ5PFZha422Ei8UmLqBmzhCkFYVPgbrCabLmlHfRwrBIi1xNZykMBy0SUIHaQ1lrWl3W2RZSl25HGUp43nOuUFAoSAJQoRV1KVpgpZFRRTGWGvRaoGXrDIMDUl/jVAoqsk96sriJCHG1qRpitUG35Us64okjOl3aubLjKi2tANLLTqAQNUFaQa9XozvSNpRiHIStCvx/FVUeYQVGkcEONJAtUQEXZLBKkVtEJ7HzVe/Q29znfdf3nin39b/31UQOA3pzjwAVQgaSIi1KC146ZXX+OoffZHJ+IAiz1F1Tbs34GR6wiJbkqcLHCmQUpIWFYHrNfAJLOBQiYbwZ+z3pBLy+48J0QxWxoKwpiEDInAeSA0RBoRF0wQSV7qmqitUmZPEES3h0Gm1aMcR7eE2pqiR1rCytkno+3hOQJYXJFFCO2lT5yVlmZOXGa4f4lhQqiYIfMoyZ//gkMHo42wOOygvItIFTl5yWBoKY8BxCTyJtIJKlSyNYnLvNuuXHkUi0ZgHR8xdtHuM63l02kO2bxzy3FJTG8XBMgMivDCgTmsUGtlJeDv2KGcKu5yzNBZfuASBTwSo0CEUktiCZyyZ74BwCYoSA6TCULoOUVUhHI9CCkpb0QoSoo02amXIqHj3Y6qL+YhzK1vcK76LnzxNNS1pKU3u3aVcZCjzIqqqEHaOcUDpIzbW11H1CXnmEnQXBAOLmYYUWtF3G1WxZyHuOjgYymWKH0qWeYpwEw7vvcb48ITILYmjEMf3GZ/klCf7rK4PUPt3kOeG7F1/m/Wzl0i6iscff4KgtYK0oG0TgG3rMcr4ZOkE1/UoswVlrfBdj/n+deLOGq2+x71rt6jtCSq/zfRgxt6tu2zujJicjBms10idgpT0uiMG2+u8/sJ3GJ6dML5zlWT1NK4bgXQJkwHLbMqNV1+GUlLXKd/+4h9Rxqs8+czHeOjKk7Q7HeJuH1NOWN/8BYxR5MspgbB8/Y0vceb0FabZHln9BoOWx3L5ONJc59zZFabVd/m59/0Gv774h9w73mfQe5RcHHNrL8H4PhdXf4Gp+3uUJwZNi/+XvTcJ0iw7z/Oec86d7z/nnDUP3dUFNBoTAZijCJEiQZgywxbDE2Vv7JUjHF55JYcDXtgr7+wFI2xHmJQUGkhLlDiYlAiA4gSigQa7u3qsuSqzcs5/vPM9gxe32PLGIG2YBFqBb5EROUT+ERlf/vd853vf570weJH18EXE+l3u3PkKOv0Iqqxp5BNs/Zjjk30myV9DjO8jGH23W+07LvHcBxw9B0ZJIbBNpwSwGKwDz38eFeF8qrbF8/wOr+4sTdsQPo9BEFhUGNLq7qxpW0MYejStYGOyzt7eHjOz5LMvfZr9/ae8WTQcLk4YbKwTRAHZaon0BEk4QNiWq7u7zJdLeuM1QNG2LT1fECYRh3vH9MKEtfUxi2VG2zS0Tctw1GNtY4TWfwYPcjzbn9LrDWiqCkdOEvcwuiWIPSzQtB7T1YL5bAYCDg8PMc6jLCoWhWOStAxHMZ7vo4RhlWVEUUzbVhht2N65yNlsxu6l62hjeXD3Ps7WTDZ2OyLfMmOxOmU47HHzxk2qssATDbvbEdoKktCjFho/CHhycMqon6CFZBD3wEqccew/u09b10w21hkMRizmU65evs5ses4poAKf4WDA6ck5wpR4nsM6gbUtnvKfD1Xf2/Xth6powjJfovMFRkVcGq5TtTX7yzlSWE4Wc86yGdliynY6xvMDPOkhTMR8OcP4EZ4IUU4T9QIWVUvkCxbZnLOzBYmn2FrfwtQF75w9YxT3eGV9k7Vewnj4AneP91gbbdGUGY/P9jm3K/7w0be4tnYN7zkoKx0Mme6VqHHL5Y2rjNM+0/MTvDhmag2HxTnD4QTnw4lZdqHFRjMcXmeZr4j6E7LVnCDs8WS2T94YenHKWm/Col5RacusKCn8liJbIX1Jqy3GQG5aDso97OF7KBWQ6RxRhpzPVpSrJaNBn5aSj1+8TC+WNNUSYacgFcZq0J1EB2vQ1uApAabBWRjGksJqal2jlEcgHM4ZTAvn0xnzxRInBQMvoTCauSnwFQRESCWxlUI7gfQFgRhzeHRAGgY0uiHyhyhlSVVErS3ShH9V/faXVouyJvYDosBimpq8NvS1JvEDgsBjXhboSqO0xjoL0mdVGtJYMlrfRi/P0EZTVTW17jYKR9MKJzrPxrxoMdrwkZs7JGULyqBaQxgr0JamNHz2lSscHC94+9EJ+8fHvLC9i9I1aEc8XGOIoimmlK0kXNslFYJ0LadpDbYtaa1FKddts8pOg2+dxE8SlLQEvmFxfs7w+k2i/jrCtujGEKYjdJ2RRCHOOLyeIVSKqs5RwkOIjCC9QNvkjNdHlItTWmXwhcD3YqZFwWB9Fy9boThlefKMr/3j/wX+w/+cz7ywi5SAEzjx/c3Vd1qCbqOkpOwgFc6xyEuOT6c8uf+Yv/d3f4n9Jw9BOoo8xzmYLefUTUOW5c/hJo6mafDCCAmkwwlWa1arJbITrqCERAmBw3ahmIBF4KzDCVCi+2rg+3i+RxSlnVzWaUzryPWKsizAGpw1DDzJ3/obn2SyvsnRbMVuMqFsG9LeiKs3bvODn/lB3nv4gDyO0FoTKZ/JZI261URJn6YucFIgpGCVFwz7PaK4h241t69e5Y/v7vPTH9lF5HPu7xteP205rCT9Xh8jIUl66OyUg9e+woXbn6CqCh7cf0CZL7h1c4fe1iXs4hjbVHzi2kV+7fVTTGE4dpqwP2awtcnp0bvsbF/BOceNKy+j2wphLUo46qomz5ZYY9Fac16XPF7OUNZxfn5KtpiTxiG+1ojlHJqagRX0XIAwGvH4fWIUhTAk6aDj13/I6z/67H/N7z36ZXr9HgfzrzOd7RNvrFHPExrvCTvjIWdG4Yyk8ufMF3OuDW+RVRGHJ8cE/ZQrn1jn3fdOKYWkrGLWxxFFVhNGAcUqY+4gKgyDzQGe35JENRc++SMcnb3H4tkzHj56HyUFtmyonKEpc4bzbzHc2IIgwgs8/GjcbYvaHN/r40zNbPoU5Vo8L2R6ckhTLLDagBTc+fqXCbyYwdoufjIgP5tR2Ijp/gPeOtjj0eM9vvjFH6Z1mnJ6TrJ+AXENFufnfPwLP8/x/feZT+/QuIBeOmSws0OYDiiqkhsv/1sk6TrWaj71E38L5YUd7bicoaxh/8m/IFvVbG++CKLHO/t3KPWbyI0/ZlrnfCT+O7z1cEWk3mQwfEQjvkCmfokoVLw9/zt84kWf1x+PSJOYZ8eWxv9HbHl/m4ma4PgvOHIP+aHd/4x3nv4m75h/yE+9+It8643fY7g+IUpHLM49TvV9VouEG1ufJs9WrO187/tU/iLlnMVa8DzZASk8H2t0F2xuO6mclLILww1DmqZ5TpSTKKWw1uJ5XufrFIIwDKmqCqUUeZ4jZBdhcfXqVcqiYTafcvsjt7l58wYn0ylPH+/he4rhYNDRsm1LfzhESkkUBuzvP2UwGICzBDJgcbQiFD5xGGB1w8ZkiBCii20xhqJo0K2mriqa1rC2PgEsk8mo81TZjmqotaNoaoQLefMbv0sSJayqmrbWbG6MWJyecXR4yqVXrnF4fI6U4HkeSnkcHB6SRiFx5LH39DGf/aEf5eT4lMNnz2iKjBde/ChPHj4gDUucdaxtDrl04/PU2nJ37wGi9rhx60X+8FvfYHay4OrmiKyyrK9FHB8escyW7F7YBmuYnZ+wub3OpRu3GA6HtG3LZLLOnTtvcn7WDWtBEFCXOf0kop6MGfR6tC1I2YXdf+g9VWWzJJCCi5Pr6Dpj0ZYcn58jsFy/cJ3j0yMuphe7GzrP43w+4/7xE3qjkFubN/BRtDpDJAmShvU0RXkBw96Qa7tQ6BqNIG9qbl++zbLJWCrFcLhGLT36wwnn1QqlYGf3Cr0yp7YtUdQjDWPyLOMwy1E9QS/0ma9OOTh5yuX1XU5mzxDCMgkS0tbSuoa20WTLFYkfYmTNQCpW50csmtMOUSyhl/ap2oJs6Widjx+m9Hp9Ztk543SjI3WlLUVeMDApUaBo0RQ4lPQZ+AEDLyDe3mTWLvFIqcySwJdcvTjk/a/tEac9TF3jlEJIh3RQa4MNPKTUNG1LVVlE1EcvOilabVuU3+GG/RCCIGJ9EnNmOwlh6vpIC07CWb5iWZYYoxmnfVb1MWESsaoKqC3LYkbR1ggFXiS7cIsPeYXK43CaYaUjVoqiavECiRd6SNdtixptcLjOs9a0NFrSF112gxWOpm7IqgbrYDbPEBisNiwXktEgRUmPoqiYLTKiKGBt2GOVO3auXmBDNxzsLfD8gBuXd5gvcqQKaVqNWUnCKEesjnGjEaJpELKhch6B6nKspPZp2gW59vGDEaGwRJEDbXFohBQkyRoTd05WVvR7oy6YVTY42w2JrfPANUgB1taEyiGCGGc0cRzhkoS6aQg9yWxVUhQFmCVeEJHhkcYDhPIp9RF+EPCNX/v7tD/6Ba68fIsLvQBwCPH9oeo7Kuc+2FAZ58jzlrfevcfXX32VP/rKVzh89pgyL0F24evaaPppj7au0U2J8nykUDhqmrJCeQrTdFIzP4xpmhpnDQY+oPvJ50ZsLAipUSjA4YVhp1F3opPM6G4bKgXUdUPb1igFvTjip17ZwbU5h4VChH2cdTS1Jo0cfpzy+Z/4AvHga5ycnPLe/bscnR4QhDE721vM5wt832d2fkoQRjirMdrQVCXvvneXly+usXU84+ruiNXeklubA/woZb+06DAAP8W1NdtxjJ4f8fTpI7Y2t7h87SrOaUxbsSoyhEgJnMbgUM5Q6RIKw71Fy1acsH1hm7t/8H9y+XN/nYlKMCrEiM4nLJOAJO7h2hbfizDWYI1Gty3CUwil8JTCWIs2GtManNMI30MiKNsKdEe2PWsrdPPhB1W8/uDL1GYB+oDWLbkwusH5bA/prlDXNZW5SdvsE0fbVHXGIHiJ+/tvcHH8AqXW2IOrrBbH1HFNU3rYc8c4hsHAw+Q5UeKTpj6rWUM1ywiimlW55PDVf4KSIRuDiLzN8JUg9SynpzlhPOTS9lWGGzs8efA+npKMJiue3b/DZPsy+fxtitUcz+sUr4/efZsoSThbnLK+NWRVKY7KmNnZjHEGzfIdLq+n7D/Z4/Gg4vQ0I5MRX3/1mxwcHZKGI/zNIev9Ae38kJ0LH2HnBz/HotG8/da7nD56l5c+fpP7j97i5q3P8igOuHb7s6xWU8yqYrC9QzF7n4X9Jk/O7iHaj5OdTGHwT8FucTSfMbh0Qt9/yK/9bsV/8Nf+JaN+zSS4zfHZMWXv13h60DJ0kn70MkfFl1nrfYz9kzcI5YLB+DLn81d5lL7Nu0/3iUTDW+2MC5e+yNNzy53T/57rO/8prz/5B3jbOev9n0MefJTIOs7L9zkt3uA/+cH/6bvdat9xKQlSyg8O3Z7XEUSlUjR1DVLied1xt207IEQXKdFdflhrP9iChGGIc462bQnD8IMMLGMt4jld1zrLYNBHt90z8fqlqyRRggOyrCRN+0ReQFO3tDRcvrBNdG33OSoIFrOcne0Bo3GPVtdgPZqmfp4l4UAorBHkecnaZETnGnGEoeoUBTg8//nWRguMhVHs8ezRG0gtqKuGyWSdR0/vsTleZ9BPyYuCK1cu0VY51vaw1jEcjDk4OGBnJ2Q0mfDmN/+EOB2jjWN9Y5d37rzJxuYmmzuX2Xv8iAsXrjJdVizygr0Hp/R3LzHNFhw9WbCWNHhxH195PHjvBCtaxqFFlwVFWfLKpz5LVeXUlWGql4RhQNPMGA3HnJ4cs5gv2Yo38JRABoqoCpmeL3Ao/EDhh52953u9vu1Q1VQVgfBp2i5EbhT1qAYNaZwyX5zhS0FlaioCylWODSJ+6JXP0LSW1WqFvz5Eyh4Pjw+5uLmGQOIpn7auqE3L4fQIXTSctiusdqRRD70zYmkNmJpFW9Lz/E5aYhWrfMZaf8w46TErVkzrM6R1TMbbWFfSmJxYwcn8EW3d0OiSeelojKYsGuIoZpSk5E1LKEK0BKqaF8eXKLXmtFzQZhrPtMybinSQcnR2QCIjBuEAK1tK3WBaaJxEBJLSegRhQk+2VHWJ9BQb/piKirWwT9mWGGnZGAw5XZzgfEFeVXhCIaWPlIIo9lGue1jHXowXawyWYrHEVx5ZVYMz9IcpgRdgraRuCuarEmst2jYgIQ6GhK3kIGsY+AHCxfhCcJ5pKp0jao8kBB0qFm1N6BRJ00N9CMx/f159/PY1Tk7OOThdMG105zuxlqxs6HkBfuhhccyyCqk8hoMeyAYvSDvUuoowriX0fKL+mCjMKMuCKPQYpAl5XjMeBVStZpgEZK2kMRLflpRLiQwCkl5A4AnWRgHCNsxmFUmgcU6SRI44Tak1NHlGVniESQ8ZlShrMHpB6mlqDVoOkW6BamtakdLzIoq2JG8FUbwF0qdpDaDph4I8O8b3A/ASQumQ0qMmRJqc1WJBrz+krErCoI9tK8JojVivWB4cIpwl3UqRtmC5WDAZTNBrW5SrGb4IWD29x1v7j1l87ofY3RozDEwXssm/llx8v/7flAAcxkFrLL/9L/8V//P/+D9QlTlFU5OtliihqJq6k+UZzWIxp6lbEIa2Ngjh0K1Gel43+EgPKQRCCAKvC7VWno9SHk3TEoQBummI47gLN29bhFQ4BM4JlBBYKcFoqhqkdCRhl4/3qQs9LvQ9qiLja3PHpz4TsDnpc15a2tkTov5LnB6fMt7a5OaNF5lsbpEMe9y9e4/5bIbqDymzJWXb4KyhKrMOha01s9kMrGU8jLm11WdznFKfRKSJYbuGm5sDRNJDiIS0n9DkFenGhPWNLbSxKCVwzkdXJfNFibQOf3bGanbGK2LJV00MUvIb9/f528MG6Qme/f4/Zu2FjxKNtrFNRxzEOBwGKRXKQWnybquGwHkK3/cxztKYbluNtSjfx7kupBkhUMbhhCIMffpJ+m/CoorH5S+yvx9x+bqHrS9i/RB8y8jzQL/Cav4AXxRsJT/C4eyPQS6xheL9/IDUbPFHX3sH1XgIXyBkQ2h8Hp8WTNoevahBrBp0WbKqYLIpqa2kdD4blyLys26DW9MQC4VY80l8xyoveOft1+lN3ufq7ou8u/c67buSy1de5ODO1wmCiNODJxw8foiVIaNxj+z4hKpZsOcOefb4nLW1PotCsn/nLld3AqY64U+n51Aprn56i/23l5zakkXxBtH7fTZfCXlyGrLdN7zz5W+BJ1m7fZ1zck5Hjzh6+yle4jPbf5vt7ZRXX/0HnOxZfuz6zzA/+3WW8g84e3SFpkhJrv4mRm9QlI9Zi/8mvc0B164s+eb9MS+++JCvPf4dLvR8npoaUgV6wIP3fS7vrvE4/038dgJ8lY3JmNNnHkcHT2ncu6TlT3JxI0aKF6nMn1LqNxCiIcjH/Mr9/4YXz3vcay2z8df51Ma/w7v1r3KUfYPN4S3uHxzyI7e/2932nZW19oNBqdVdPIQzz7cbOALlEUbdsGSM6STYz7dUQnRyamNMpwDwvA+Gsz/7nVJKbNNR+MIwpNU5vh+j24ZGOWhKLm9u4nAcyHM8KRj3UqqyRjrAGarakOcFcRgz7HtdVp9uaYwlWy6J4qjztypBXRmkEgyGKa0uieIQ9Xwo1K1BmxZTC6RUGOFI4ojl+SOaoiSvHaNezPHREdZ6xFHIZBIzHg85Oj7jpRdexroarQ1nZ1M21rfZe7rPcDhgfXyB+WrF+3fvs3txh1c+8zmkFPzJH7/G/OyE49MD4nST5WLFapVxbdzj4V5GPEqIohHJaMKj997hZL5kbdIniUfs7F7DyZbZbEa/l+J5AVIKqqpmsVhQFEucszgBz/aesrW5hrWG4WAdKzq5ZlFp6lnHCdgebH8XO+3Pr287VCkvoR8P0L6kdDDVFY3zmJ4seOnmSywWBevhgHjYwwsldWXY3VzjbH5Mf6Pm/OyUopjTT0LOp2fPZSiO0A/p90dcXdvEX5f0Z4fkRUkchugio1Wa83xB1hboeA1ZK7Rr6HspTVnxZHm/y1vxHL6NePZsj34SMEgipIK8ENjSkIRDWs+QKEdgamLp4+OjDdSuRGtHPOhxlpXE4wnKtNi8xguGhH0P5WC31+u8LFVJGKa0bU7sBH7kU8wWJL5hWS/oxz1CowlNCE7jKYEhxJQNzqs4PD1GiYBrNze4/94ZYZTi+z5CCgKvC+cUvgKjEVrT7/cwtiSvK0CBUJSlJqOlNZA3NWubIW1RYlzNWn+DZrbivfycNqjwgwQIkEJxZRChbEApKnwhELRImZKZJaPIR/8bcDQO+0Ou9nrs7BbMpitWNQS+wFeC+apm/+SURV4RhCF+EPLycMjGZIALRiihmBctB7MV07wiZYnnB2xOwu7GdBJT9nziCOazHD8OcUVFVXtMNjymsxavrSgKTeFFTNYjrl8c4bkK67qbLuUbnIhR2iKFpFxmgEOpMVFgefzknNhzaGdIxy1r65sYvaCuKuJkQDzo0axagihCI59LFcLnPhkfXWvm85zBMEIhSIMGkY7YHEBVZN0my1RoEeHjMZ+es1zMGQz7VNUSm2U4HJgaP9kiTIbo1nJ6dkA2PtzNAAAgAElEQVRV1FR1zgPloZMJL//4D3JzEPP9zdX/l+r+Zo12PN474p/8H/+Q/b1HaN10h/owpcymVPXzg4Hobi2DMOgGACeom4Y4SfD9EN02XTYVdJ5U3yf1FG3VBT0L4QhUgBdHHZRCesjny2mBwI9jlFR4CPwkIQoCenGPgIKba+ts+g2PZxUnLsJKQ7acc+OFl8grw/tP7nHp5k1kGnFycoLwA6anZ6yvbyOEz2uvfZ3FYs76xgYHx88QFozrJM7W8zBWIExL2Nvks7crkp6HrzyEU0R+Tc8TjIYBw/U1jIC2VJzbuLtFtppQqM4HGfUYTC6Q7b/a5bLVhpcjyx/OLEW74q4AEwFqzMd/5MeY/eEv0//p/wqHQygwtsYpD91URJ6PFyVYq7Gt7lDLbYNwYGwLzz1oQEc39CRSSDwZY5yjqhusM3z4d/8g/TGfe/nz3D3+Kts9hVK32IwkeVVSO49UDnHyMiezr7LhrXPYTBHJGt4zxzcf7uEnHrX1EKKEKODU5lB5ZKcZWyOfQSpZ1YZeEDBfWURsOFtWiCV4m4LiqMTrx6g0oxlHUAZE11Yk7W2WyT2KsOB09gy/GFK/8x7T5gRbauJhSJMMOXn0iEetoecJjDLsPThkfhJxMi0QpaO3EZFFPnIwJrwdUsxjdLxk83pMcFFTJz7vvnbMJ/uXOHv6gBPnU7s+m1u7PDz5PUoywkHCqvbpR4bA1pzUjvWeQfYD7qm3+JPX/ohrL3q4jWc8u9tyK7jOwl/S71/krb1/zmA95vTtlMHoMV57m6G3Rhocs732kzw+eZf3Dt5kbf0znDdz+onBigZfpqT1FdSwpDZLxiJg//xVPr3289wTv8r5fIzYyMn0HRbqv6QfbFO+eIcf3/1ZltkB31z+DnWxjdDvk44NvvrwQ1UiP0AqQd22nVJDiS6mRip6foAQirxoQGgC9fxCSTiM7jZU9XMpoBACRJchlSQJAL6nqJp/LT1zzhGFaed37UesTjOG6+ssVwvSKOLSxQ1s28m3hQTnd14V35MMBj083+L7MQ4oyy6IOu6lFEVBHMes8gZjDKEnGQxirO0ijIzVlIUmjmKkl+CERbctnlKsVjW/889/kcAbEKWgW5hPl6TjNSqtGffGvH//KVcub3bh8MpnvpyyvjHhvTt3uX7jItsXLvHs6R5NVfEDn/4EIkxYzHO+8ftfZ7A25OKlK8zOztm+ukk2n7JzeYxvFFd2BmyvxySB4CtffZWq1fzbP/FJhsMe+CmrsmI0TBnFPaADhbRtizEt/WGPk+Mj5vM5V69sY5FUmSMdDmhkyTJzeC4Dz8MK1w3M3+P1bYeqb+3d5+poB+ELpmdLiroEz0O0gvL9O7x18IhLo12qVcu7Tx6yfanPJy/dph/EqF5AW+T0A59pntELI0bDIZ6QCOE4WRzjOw9PBfSChMT3MY2haA2L40OcsfgB5PMFSimUdbSBwIoYFXoIJ1nUSyJPEUjJ2JvgKZ+6ygn8gKKo0TLAqZZeb0KS1KzygkJpeqMxwnlY23JwdMYwjUitYJCMWbAE4SiqFbrS5DanrR1JEOFlGadkrImANTWGXkDuDKtVwb3VMy4lm6yKFX4YM1YBc9tQa8vAi4n8EBkqBpOCKAoQ0mFNi7Hg6IyIrtV4UqOdYW+64As/+jkePH7MG/f2ScYRZWOJQ4+z1ZLLL6xz+cKYsN+jMRH72RlxOqSuWq6tXWUsEpQQPMyOqCnxPdVBG5TEIyL0Ssb+Zoc8Xn3vN+qfVwKLEB5Rb8KaH7HmHAiHtY7e0DEexLxzfx8ZBgySBOUUMoxRz82reaHJspp+f0Dgd54XP4hojcNozcFZwfpayPrGkPOznOFoTJwKYs+wvW44nyqsJ0kTwdnxMeOBhyc8IlUiMfi+j5MCLw6p6j5x1CHgXXnGog7o91OCQDI9PmVxcsT2xIegRyxhkRv6aSdx9T1NvijoDcY409IYzWAwpBUxFyaOpq7xfB+pBL5U1K1hEMbkWpC3LVWdoWSPIPTpR5rzkzM21q/gkpSibMkX5yS6IErWQQbkixmT4YDjvYeE6YjhqOVPf/VXeFWE/PR//O+zEXbhtfL7w9VfqOpGYx3kVcMv/dLf4/6br3cPdS3QTU0oJdp0VD7lBbRNTZqmNG2NcwJjLFHgo7XBmBIlJfq5B0Apn8D3MM6hwhgpBFEc4/shUgUI2eW4lBV4z7HDUnl4oU9T19i6AhyJtHzyUsLDszm/u3dKL+6zudPjhauXGfZ6fPNP77C1s83t2x/l0ZPHvPvWHYx1nJ2dc/nSRZbLJb1+n1svvcx0NqVYLnjx5m0ePriPr7oBcGdjg2E/ZTzq41zD9s6ENl8S9ScEg03K99+ibTXFbEE1W6KCgBaJDkqqusI5S9s0SOVhmoZ8saCuDPPWo2kUO9ubDBYZ00Aha815b5MdV1CbmuEk5eD3/zfiXh9ftaggJO71aCtBeP2naKsaoQR+EKGbCue6cHbhdf7Kti0JogTpBaAkzoAXhqA1rZDk2YpH99/j8z/3he92u31HtZ3+GBu9T/P4/CvYKMboI5aLJRvex7m8dhtX1bxx9qvE6ZADe5fYu8pg2PDNZ8eUreXyjYjKwOyhYHxLUbwPi6DFRzKPHW6tRk0T5quCUnoM4pT1l1rOqozVucesKdgIBWpXcp6tuHDdsrfSxNWXSdeX3JX3CestlrNnFINTtieX2X/7kPG2ozg1PM0dt6++yKVbH+WPXv091i5us761QzMXlGtvc/zYsrOZ8rT4DaLgKv2PrJAyodw94srFW3i1Ivn5Oa4vGCUR633BwQTeeDrj9pUJsfP5zPW/yfYnP8GT/G1OFucMBzHV2Yr4qoPmW7x08xZL85QLyUVe+alPMD9+lWdaE9qMF64OqFa3mIwKiuoWp9kDPDHn6GzI3We/xfrmBhd2R5SzEuWtODhSbI3nBL1rFNE9nJlyOrMUEgom3Cl+i5YNMnOKtkdYtlk0r/GDL/wshbfgN177u2xPbnB7Z437dU5WjXjy7Jhj+Uv8wo//d9/tdvuOyhhDa0Fr0/nUK43yfcIwomk1dVPjLERRALKLnhDPVQNFUeD7/gcbKuccvu9/gPA2phu8giDAGENVVQjl4SlFUzeMB0Pmszm+8siLDr8eRwFpEuJ56oNhzfM85rMlw1Gfomi7gej5+cMTkjSKMdqg6MLZozCmbTo6oOfFFFmG1holGwwOY2yXc9hCGilO959SZCv0sqWqW/zA5/hohh0HrJYZ62tDrly+gLYtaTKk9BqKvOTmixdxFp49eYJ1NcrzOD+dMdoIeHz3Prc+cpWT8xOMzbh09QJeIJDSIWvF1pbPm3f32Bwm/Ks/vMNHr15EDcesmgiZOda3FI11nJ2fkaYpf3ZMSJIU3x9ijebhw4eMRiMCL+TZ0TPGkyGtNow3AqypScbreNYiFOgPwVD1bXVfp9MpC5NjjCVNQ1TgUeqMShecLedoA4fTM/ayQ+JxQBBFHOZH7Bcn3Nl7n4VZcN4sqF3OWX7KyWrK2XzKcpkxy6YcLU85WZzw+OAxq7JgVed4niLy+wx6Y+JgiNWWpi2RKiIUAYu6YFVkLIqM1nRGVCkEeIo4nZAMJ3h+RBDGNE5jhcI4h/UChB+ysXsNKxLOygVnZc7B4oiVzTk8PWZZZLR1TbbKQCi0Bxu9dQZJnygOu3BZ06B1y6JY8Oz8iEdnh1iVkIYeTduCCmiM5iSrycoC5WCeZ7RG0JaOjdEug0GfutE0rXn+D28oioLGtKyKGu0cQjie7B1z6/pl/MjHRRqnGmbLJYN1jzgNCYaK0moqHNqTeJ7EU46qyMnrgtN8RuLHJKpH4nkEUuCLCOkZZGxJJmuU1uAH0V9Vv/2llRAtTriOpmg7GppSPp5ySGHoD3pc3BwxTCP6z2/trQNnO3OrUoo0jOkncTfga01b1zRljRYe/cjn2XHG4bSmPxwThD6iFfhJDAKENLRVy/k0R7Y5tra0+Cg/wApFW9UoJMoJrFKE/Ygg9DBCYIVm1Tic8EmTHhZLXpZYK5BegnIVxjgCpQicQbQZ6JIg8ElCSVE1mDpD6BXoGVq3VFpjdU3rLFoKpB+C8DAaslWO9CPS8YjtrQGtsdimRnmKumrQ2rAqS6zRBGGIwSOIYrAtRdNhTWWTceebb9O51L4/UP1FS0qFlIrVMuPZ00c0bUNRljitsQiKqu6kfc5hdYNUiizL0a3+4GGPkCipcM9pevIDGaajaRuM1ijncNJDqRBtLTiLfE4JDP0I3w/QxhAGHhJHGkb0k5hYSVKX842n57xzUlBpx3m2IJvPaOuM6XTKvQfv8ujhQwRwfHjMG2+8yc7FSzRtwb0HD2h1Q1GUXLp0me2t7edeBcfa2hhf+XieYn085BOvfIyt3QsMh6NuKPR8eqOEMJL4QqDrmrpuKRYrsukUZTX1YtGF/VqwrcG2LTiLMxUi7HO+rLl3tOKdh2es+w6dN6zmc945zVFBiKlynHDUqxnzowPQLZ4SHUpelORHb+K0xrUdfl4oHzyvA75oi3KCQIVIbXFVjbIOoQ26rQFHi+Xdt7/FKz/wqe9ek/3/VFlleOPZvyD0BL5ZZxReoHBzzsr3WHn/jLcPf4ckUVhmlNWcvt8n8Ib0ewmBl5If+kw2ZWcT8SFILCoAG0r6l1oy38JQISYe/pYm2DWkcYAKNXlRcuETPtc/ErF9sc/kgsfWpR0uXlSEWxl9P2Y7/Ti6n5NXe9DXmFZR9RpU0mB7EjPK6e1ojso3uXTpFmubAds7O3zxZ3+BwTjBJYrLL32S7WuWyzu3uby1RRIoJmubHE5f53x1jO6VKLGksuc08oTN9YR/78d+Bj2qMaHlXvnPePXerzNtf5eLvS02gk3CQZ9K15zkQ0bJBotqxbxNWWYnOLnJTv/jvJR8mumypXAnwDWwMak0OLNFEow4rhyB8knUCzgRol3L2shgWp/p/IRlOePg3BDKCu1KtjdewI8jyuqQzYGhNEsubn4ClKZp3+Pp/FVIDjitvsm9xWtc2LiGFw24PP4ZgvjKd7vVvuPSpkOR/xkH1VMeURBiDVRN89wPJUGID35WP/dW+b6P7/sfSADbtu28O6LzmjZtS9N0kmkhJZ7fRWFY57rPVRfmXrctDklR1gil6PVTgtAnjDoQWF3XDAYD8jxHCoET9oOBq2kamqahfJ47GMfxB/RWqTzqusU5y3CUfjDg+b6HUoo4jgkC10VgtG3nnRWSuNdD604WvrExocxWjMcjjDWcnpwRRRHOWYqyCySuqoqtnW2KrMD3QzwhMUaAdAyGKf1BytraBK01ddOwyivK5ZTQ5jy4fxfjx0TDAeO1PoeFJjMSZ0vyKuvOt3W36RdCcH4+pchrnj55yu72DtLB40ePOzhIXSFQZPMlJ/tPqI1GyQ66hPje11WrL33pS/+P3/yVX//fv1QsF+xuXMQLAtZ7fZyEMFKM+wMCoShUQ2QhxdLr9zidTqmDCmMyhKhZmRmR8AhVQF5MUcKjMg2NLWhFhZCW0WBAGAQ4ZWhLwSgdc75YMl9lJNGAcTymtQqDoBEaAsU8L+gHfYRyxHGfVdMwK1dMswwhHM+WczzpsaxKqqKgEpqZLTiZnfHk4AmLKmOaz4h6CYfLnNxUlKahsg1aGDJdEhAgjUP6Do0jb2ukl9K2jtiPGfeGRCqimZW8+OKnWO9fpChyTF3hvBghPbLSUGY1+0crjg4yzo4bTg5W7B8eM18VrFYlWVUzn+XkeUO2qnBSUjYNjw7OODyb85kfegGVhvT6ju3LI7wEtnc76IDUkkGa0B9OWC2XbE22Cf0R1ka0yuGLiJHX5YREvT6bk21G/gVsCxUe07Oc8WTMz3zxFz7UV1Xf+v1/8iWrW6RwKGFRniCQfpchoy1hkpAkPkfHM2arnDDw6fVSlFAYB7qtcLZBO8t4kJIEksPTGY1xpHHMoihIo4CT8yXn0xlZ0aKFZFk4Yh+EbaiMxBeWKJQI6ehHPmUh0drStB4y9rFNhXYBsaeJfENRKJQPwhgCaZEBJGnM3funtM7ix0OO959SG4cXeqyKkiTSNC5lEHm01mG0Q/o+nnD4SiFM9yAQfoyPoLLw2p9+A+UqdFWBMfihwlpBL26QukZFQ6Q29FNH2bSURc1wbZtItiyzBaHvUZVLssWCKHq+OSkWzOkzmgwJlfvAZ/WXXiL90PaqtvZL1sIffeM1fu3v/zKrskBYixSOvKo7f2PHlMAJD6cNSnnPg3tB6+6AYIVAOouUAVq34J4fJoQAKWl1272g6z4o6VPVOa11KAm+3z2UHQ5lLKNYMglholpu7/a51ZP8wLrkh1/a5KXNPj/6satc6rXc6AlSkzGbn/Fw74THB0eUdcnsfMbZdMbZ9PT5ENjwkZde4ujwEN/3OTs7w/M8hoM+l9fW+fG/8XleevkVBus7hJQE5Mi6QgWSMAlxdcHsZM7p6TllVVI3mnKVM1wbYjZvoMKYpi7RWiM9n7YpO8CHbakaw2uPz7geWR6JEC8MeJLXXOj7DHVJvVxijePGJz/K+MZt/KTfETiF5J/+9pdRtibuTyDwuiBKrRECmkYjPIUfhNjnBxcrHFY49o6OeXT3TUb9EVsXLmJbwfVbNz60fQrw+2/99pcOst/iqv9FvJ5mqr9MZMZEyW1iL0B7FZ6sWO3HbE62GfduolQJac6FwSXcMMMWARtXQ4TqI72WFz46YH1XcObO+MlPXYLekOOq4Yc/f5Vn9UPWxgF+3NJIyQvXrjHYEly/fInRRkDQjlDpOWk0IUgK9s7v4MUlO7u3qFzG2sURaT9HR0vmy5Af+/GA8eCnWbUHrF3K6Q98gmjEewdf5/LFq2z3r9Jb7+NzAirg2tYFjlczRoMxfnpMYT3Wxppxeolk0CKfrfOxSz/CN0/+ERtrgsb0sDZnIfforz9kXl3kTw7/V1TSMF0s8ORT3j444+XrE6w8pTEZ/+5n/1tUbbk3+yrp8GOs8oqWY2K5xUo/w+8dkzWaKlvSyiN6wQaBSdDOYNRTGjdDum2UTtnc+AGsmiG8lGdn92iaGCnPWBsNMI0htS9wUr3O60/mRP45xm6RhBM2dp8ynfa5vjtg2rzLzQuv8KkrP/eh7tXTZf0lIWX3vmkB6VE2Da01NI3ucOlC0ZoGJzovqa/87krw+TPr/04C/LPhqm1bQJKXNVVVdf7J54RAhMCaLlNUO4GQHuCI4oiTkyN6/R6+173HdlsvwWx2Rq/Xx9hOUaK1QWtNGIYYrUnTlDAMcLYDZWhjqJsGaxoGwxQlQQifuq5pmxYlJFleUk+f8PZrf8DxyTHOOZqmpshL7j/YZ3uzz2CYInEM+j20gWdP99nZ3kRgSJMYrQ1pknD0bEWrW8br64zGE+I4YX1rk5OjIw6ePmW8tkWe5czmc05OMq7e3MZvGjYvv8hkvEbeemxvDpngkEJSaTg/b7m8uwYuIM9zkjgmSVOqqmA2OyNbLQG4cvkSjx8/Yntri7gXE/oe+3v3uPDS58jzBgkoz2MyCL+ne/Xbyv8CZbi0cQHV1BwVp1SuJFQ+laypqiW9cMCoN0BudhpUD8VW2qeXKELAKYewXrc90AqnQ1bVCiU9WqMxWrJ5aYOm1aRRSrMSpL2A0jSEvQQZdXr1zOUIFVF5Lc56lM6RrPVYZZp+43O0XFCaltK0OAwb0YCmgdLWJEGCVD4rUzBdrNiI19Buzobfpy4q/CpFBIp5UTB4To9ZVRkWi0s0o/ENTrMTnDAETcjcVmAsoS4Z+RFaKJKNHtlsyeOnp7z57j0ubK9xdP6EaiXI6gzPjyjyqiN/ic6q7ic+nq+QgUMFPmLpUaxyXrp9kb3DA7SF4ZWAdKzwPc1wIAlGA7CSm8MLxDImjGPWxzvUuuHw+H3WZEBgJOfZCb5KifwEGQSgErQ+Qa98nmZz0siQW4/lWYFxigfn+3813faXWD4BrWuQ0kNgUBKca8A6wsQjdAUu9Bn0EvRiRVUsqasUmQiMUyRxhNN9ZFnTWBgOhwznS2bLjHceH/Gxi30OlzXHy4yb22MmKRi94vxccnbuUVU1njAMeyGrypKOIs6mS7IS0sgj8QsOn7bsbA95/c5DXrq2wSixeL6jLDTHs5adgSLq9VjNFvQDn0EUUi5O8ZTA03NiUo6qisjr48ySvJFYGVA3CwIETeDjKx9fCVxT07Z19wbeWi5uXeTxk6fsbA8Zb11ACA9rj5CqRzj0OwO+F+PECFEcMEwFew/fYePiLZJ+H1MsCDxJoBRNvcLz/i/23itGt/W87/u9ZdWvf9/0mT27n8JT2CWKTRZDSYRIWoqlIJah2EFiJDCgIHdBAgTIvs2dEMBwgFQogeIEllUoWY5EFUqkSIqHp5d92m7T29dXX+/75mKNj+/IC1kxN+D3bmZjZjBrP7PWep7n///9fSiXTN94gT96/WV+/pd/vokE+HfnB56ycqRFyZtvvsVsuSDNUqw1lw90gSlyaqEatG9dEccxtTV4NBtRY0oEEiE0yH+1I2yMvyiBs40/0/cb8qRzBuMMRVEirUUHEusgrTJqZ1C28W2lqUZ5jp12wIPjGUMtWG/7bBrL9aur9Eca6TUbbVW1uDa0fP3eIxRDytrw8isv8bmf/FvMF0uKPMcPQh7t7zMYDUjnE3a3t+gMVojCGF8rChuyd3jOxvoqghoPxcD36fZ6VEVGf9SjmC6oygJrHPNFipISeXQCr/4x3S/8XaQfYTFUZY70WzgdoX2frY0VYm3ZXO3xjVcf4loN3OfX3zzjv3s6xBSK3mqzrZ7v30N2R+yfJ2z0Yv72V7/IP/3dbzLYeRoVxOB5l36qZipd1wbrcpTWHI/PuDjdZ2UwYHv1Cjvra5RCkGQFKviBj9bH4kzTV6EasV/8KRw8yUr371J7L3K6fJlR+DPk89eQwVVWdhM0If3Oc+wdL7m+9rMs9DFmfMbJvZB5lfHhmysc9w85ecNntB7yYx8XjKfnDFq3eeYTM47T93j+qRCLZd1uc3UoGKyscD/7DifZEaHzuEjHdLsOv7PJPB+zMhxRVzVGO0pj2R6tQmeNaXrE2vMznlj7j3l48DKdZcxcz6nUQ9ITxU89+wtcsE+y+S2q+lmWxTXS6vu8+UrJR3e/xLh8FWu7XF0b8O6jc8b6VYatLsepoDtJKdWCze6vcHL6NXRrTmgGjCfPoeT/RTfosCiP2OhvcpLO+czzz3A+P+GW+kUm4yX//f/zy0T+OqvyBpPigvn8gCvbz7AaXmPv3u9D6vHhjS/ywvyP6Hk5G+FHeHv6xxQcsum3WOoCpceM50tcPUXWU6o6xtN9Pnx7zmIJWS6YpBPaq39KIK7g+RpRb6OikqIuefh+lysrAePkbTbbX+Xhyf8I/C//tsvtr3ka5Yl1giTLqG1GFAVUVUk7alEWBVVtaMUNJMdZh3M1KvAo8pw4CjHG0Gq1LkOAvQ8IglVl8PwGAKS1Jk0SkIIwCPB8H6UE7TgiyXK09nGmZmtnh2WWk+WOOA6bBs7VbG4NwXk4JA0g1BCFIUWRXzZWBqcamIYUmtrUBIHGWkealA2p1WQIKfG1R5HlxFHEH/zOb1HlhlanBc7R7XY5OzvjueeuURQpZycla6tDBBJPS65fv4bSMGz3yTMDkWQxm5MsS7RvCTzB/t49pvMUnQx48OAEZS1xu89rr71Nvsz5ypc/zZ+9dsTtrV0mi4yNlubcGpZFQm4N168MaQ9a1CWc7+2TJI0MMwgVsWyxWM6YTM5YG61RFAWL5ZwnnryJqyUnp8cooRiNJNkspTscsMhz5mdn3Np56t9uqf2Q8wM3Vb/5f/zjO2GrxUl+TOIm+FrhKcmw1aYdh7Qj0L5FC4PyLO3Qp2Nj+kELHw8tAkIdIF1ManKMlZTOkmUVOopIraN0UBnDrErRnodWCiE1pSkps4qu3yL0ApSUnCxTQhxdL2I5T0hmNfiavdk5UkhEbgmkoigcdZnijKGsDeezKdY4VtsDDudjrCtYbXUZdjp4UUBapGyMhigZ0O/2yJQlqyP8sIV2Ie1WjI5DjK+wvuPKYJu6VDy4eMR4fkpSLhjPZrx/9winSy4WsyabqAuVcVQZoDycE7QHMdZU9FcidCBY2fZwtWL1iiTuKUaDFlu3e3zoQ1vcvrLOR258ghu7H0U4jzjs0WmtM5lN6AUhWblkMjthMTtvktzbIbHq04lH5OSEQYC1jouLc4T2QVuElnTaMfvHh0yyc/BKEJJf+aV/9CPd/f+w8+p3/+UdawShH+D7DXbamhpBjVYKJyKEgN6gz6gfU5VNxpOrcrSvsU6SZjnSGLzAo91pc3w6ZbxY8uBoQmbg3b0xz19fYZJU5MbD1I6DsxmzZUqS1cS+Yv98iUESKMdKG44uUloe9Loe50vDdFmwSAqm0wWVVUgBwuuwMurT6/soLTDEbFxdY3Expaor+sM2tq4h6KB0iJUaaQscUFmJ78dICUooMuPwtI/wIqSUFDWNPE/URC2NKWqk51FXJWHcxfd9rBNkeYHT7SY93kGaGqhKQp1QWY2OYqR0tL0Sp2KsCEnmhyyLCiEcR2PLjZubXK6r/mYFgY/1psrcybKSv/jmt3jl+39FmS6xDmpjscZijcMKAdYilKSq6iYfxdTgLGVlcdZhTN1QrC5zr6SUjSTOVVhjcKgmKsDVaOXjaUXc7gCW0jRoGgEo3Zi2jWuIhKfLgsPUsr+oOZzntKKQCkmWOfqjFbSneeHRjK+9vMeXPnaT559/kn/2e3/MZz73U+xev9lI/kYD2v0Bo9V1lOfz5DMf5/qtJ1hd22QwGDJcWyGOY3zto7WmHQUkRrM+ChBlAkohPYspM6plRl1beqM2noSqyPBMyvDZz0LQYI4biYxH1B7gBT1Ub530Yp/u+iZePuW9RY2TjsxaPn39Kj3P0R226QxGhNz45FgAACAASURBVIM+vdE652cz/slv/imf/fxn6Q62GQzWMNahpET5HliH9pvG8pW3X0OUJdvrm2xuX6XV6iHDkMqYZoOomuHcjds3Hts6BXjl/rfvVFXCan+VduxT6Dc5n8zZGTyH0ttM7QGJeYgiphveIHVnjOsxSfUWk/JF1gaS7etdbmx+nrl9h1a4TXc9YzBwhMN7uPxnmAd/iBItrqx+jn77SS6WbyL9Jbc2/wMmxTfZ6F4nr6fU1lHYmpvdv0PmjhgEO5wnZ/RbA+ZJD09fsD36eSpbMskvwEneO/w2Wyu36I2e4TS9x3NrP04VZ+wv9jg/epdOu2RZnZIXEh2fIqyH8nZpqza5/ypa3aA3TCnPV8j3Vli9OYfWmKQ65mr3I5QEjOQK4r0d7HCOVCE7gy+TpkcsSse1jsGaZ5nnL/Ot779AsjxhffcZZNzCRKfkxQVVNSNgyHb8EXzX4cHRG/jdDME+Tz8DDw9jrPcKnv4QcfchlW0RRD69nqYf30RLhwpSVvXPgLxHf5hzdrbAmIqvv5Txt575ac7PZjz54Re4+17KxlCx0vkQBS/wsbVf49X3/zc6qyd8/vZ/+1jX6uFFckcoRZ6XaC0Rsgkw97SmyAsAAt9HXtL8tGqcL9ZJwij8IOaiqio8rZsNlXONPcBZjLukgypFoD0ueRaX76sS39dI4bCmRklJnmVI7eNMYy+QQtJuNUuCqjTkWY4xljgOL/31krquMdYiFWjtUVcGTyuC0Lv0LDfB7b7nA5ayBmsFWkn+5Pf/B86PLkizhOFwiBL+Zf5eStTusjrss7Lax/M1RZ4RtWLyokBIwenJGcaWtNtd3nnnfTY3R8wmM/b39mi3Ntk7OsRzJXHk87U/eYmNXsTHP/E8h6dzNnp98qwmszXW81GuYpJKsrTk6GTBeJYy8CXHZzPaKx5J5oi0Zjwec3x0yNbmGuOzUwQO5yymtvQHfeqq/kDOOU8Trj75SQQQhCHbq+0f6Vr9gU3Vi9/92p0kSfG1QEuFsCGqtuRJgfIMvtRMJksiGeHLCFtDKRSLJOcimVOqmmWeMc+W1A7mLqUTt0HZBiNZLbHCUpqS2hqMhaOLMa4uUX4XT2sm+RLjHKdpzrJYsjpc5+7h+2RjyeqozcOzQ67EA/bmZ4RWAJppMmelPaQWAVHbp9trE4Y+zilubO4ihAHhszCOwkoi4eGpgG4UILQiyzOcMIRhhFOOVtQ0MHU5YcUOyfI51DmBHyItbHXW6PgeH3vyGs9evcrt3StcWe+w0usybAXUVUW/o2m3HF5Yc2WnQzy03NzZ4Matda5d6fP07dt89ImbfOGzP8UXPv4lnr7+YaTwmBYZb977M+oiY396QFaPMZUlqRfEugVCg9P0w1WSWUVe1ZzNDzi7mHK8SAginzgS9KMBkdclSWfMyhlSJLTDkHRW8O7BKf/lP/yvfqQL9Yed7/zpb99RWhF6EcJm1NJDKInBw5MxTtQ4ofA9Hz9qoZWHkxqDwFYlgS/QxiJlQZlUCN/H83zmy8YrMWjHrLRCHpwukFJSlhWer1jvBmxuDFlpN5jUQSSYLVIUkq11xaOjlHePFugwosby6ruHYB2DTtjcqHWbnc0WWVqwnMypnUKWCXvHUzaurGCNox37KE+RpQlxu02Zz/FkwXKZo7Dk+QJ0TFGVLGZjytIghcMpRZUmoCRaKrqRT15VFIsxSpZYLs24XoBSAUoJTF1ibU7gVQQ+1CpEqKbZ0rqNtAv2Hx2gFUSdVSgTsBaTTHjjnUd0r16n56u/WRngY9xUVWV9pzY1//jXfo3j40OkkNSmxJq6oaMK1fipXGNEts5iTEVdV032lLVUtkbYJgxcCPnBpsta00SYSIWpS6Rr6FZSCbTnkedNgKOQjU5eAlJ5WGNQSl6SSD0836eWksqPeW+c89pJyvtnGSGCgTCsrw/oj4b873/0Gl/63Oe48dSz9HoddnZ26XX7jEZrxJ0OvVabVqdDt9shjhraVdRu0ev2kVKgwxDf9+kNR/jtLm0fApmjvZAymXH63iFFWlIjGjxyllNXlsoaQmaEVz+GFBLjGlmIqR1Oe3ha01u/yqAVcnrvPq+dXkDckFDfOBnzC598AlREUVj8/jbBaIvCW+X5p64zM13i/jrCXqovvBCD4O17d8mzGXEcs7N1le5ghVpCWVV4gY8TEt/zqMoKJwQ4wfXb1x7bOgX4rZd//U4tL5hWd9ns3eI4OUB5c2bFfU6nh0gdkCxm6CjnePEui+KC2/0vYMpT1jYmlOlnUXKVrVHAenyDMBBIZYl8yeH4mBvbn+HJ3ud5dPEarjrlaPYatUhJ8oR22+f+6XuclQmLfML5xYQnrjzB+eKco+ldKjFGCsnBWU13oLhIHbPst5jMTsirBVmSUdkpRCH39t/jxtp1Ho7/iu3hxzl4+ApqZcbB6Rkb7Wf4/uHv0W+HeN46rbCBlEwuJnjljFpd5e7RXYo6YW1rh+T9HF8JPnblS2T5EY+Wr1HUjt4Qhq3PcjT/HTzl49W7lNkWrdYpTu/x/IdGBKuOw7M5n3nyU8yTJdVki/ZqwsogQsbvczCestJNke4enV7Bs9tf5TR5g9q0GEQGQ8B174u4yLAx+BzvH+4z3HsOO8lZa3+Ml4++wcP9ayS5x/Mfyvn0s13+/OUevW7GYtpHqTnPrW+S0gLX4zz7BqJ1Rrn4PF987j98rGv10dniznQ2RWtFFAR42m/e45z7oJmylzI8h6A2zXBKKokpy+Z5aS2eVh8EBCulPsCp13VNFIbYS7medQ0Ey9SGomiaNs/ziOMYrXWTieUc1liUkAx6AQKDEB5SQNz28XyJdTXG1CiliVoeQaCQqEZl0vEIQp8iN5e/pfigaczzmizPiVoxga755h/+3/gyoNvp4Kzl7lvv4Jyk3WkhhGPYaxFFAe12myRJsM4RhAH7+4esra7hrGMymSKFZXNjh4PDMddu3mIymZHNz7i4uKA3WOHazZtc3bnChfURtUBJB4FBITCVYdAJGI3aJIsEP/I4myV02i2evrFKlhjakWM+Lzg9OcSUhjxbMOj36Pf7OAtJkrBYLGi1Gu/Y2fEZLp/z3E/9HVzlyIuCq5v9H+la/YEaBVNaPC05nMwI2yFZUWKrEqQldj3myxprNVkp0E7g+Q0UolIGrKK0FRYIujF5XhJ4AUmeoLWmNnnzb6FHmlT0VIgrodfuMux1OD6bEsUeIgw4ny+5WCypXc2js0NU4bOx3iKrU5RS5HVNy2isbNaLnaiF53tI4Wj5HYbtNhdFxjib4qc5ZVUxjLtUVYalYpIs6KmYTm+Aqys2hqvYsuZwdkIQ9XFmgVhkrPa6dAiZFZZeP2ZaVdSioKzB1I4LVdAPQtIiodPr0QoNg3bIaj+gcoZKW2Ql8HyfrKx5YvcGu1dvcXRyStTpI0pHulC8f3qfPC84PL/LSTJppGw+rERdtBbY1LG1uY1JHH4QgfXp9ltczM/Iy5SpPUd5XTznYSpD7lUU6Rk2c4zTOYm8IPJitkbb3Nh6ju7e+///VNvf4CmzAtXxkM6CFFjToMuVsAhhsLWgdrbxOWpJEMeUNmGelARKECmNCjWy9nB2Tl0W9Loxa8M+aVWzujpkGGj8sylFkuIQFGmObkesBBKvHTOeTvACD4THLCuobAcpJZV1LBLDxXzJeJqwdjXi+lafyoAfBWS5JQ6gQlAVGblpTK17hxNGnRaB38Imczy/hawdxhoE4HsKT0NhJJqcrKjJFwuIoNeOqIoM6V2GIOoArG18NHmFqyOcqXAyAmewThOJ+vJlHpbzDK0kpyfnbOx0iD2f2hQE3oD+iofnBY15XwqEcM0Ur0j5zte/wdrP/wwhTd4R7lLv+u8OAJ6nkaUkTVOUFNSXE0gBGGdxormeNPDK5qHseRhcU7tCIJ1syJZOXE4wFXVtm+stFViL9vwmCNhZsJYsS/E8HyMESopmk2sN4IjiFtQ1VgC22VQ2mU0StEdlDFld8fbhmC0v5OqwzY8/d4UXH4x558EeUgl2rn6UuN25NE8LevQQxoFyVLXF1Qbf15emag8v8HAOfOmIW20ElrocE4RtTFVSJjlpmlIhcViyJKVyEHZbDK+so0yOd/YuqhXhTAsTthsvmrFUzhFELSbjKcOdG3SO54zPJ/h+xEnoMVk4tOdzenLO+khytj/n7v1TNtZH6LBFURi0UkRRjJGKd95+hVG3w3Blm7o0mHqJ1j7a1wRRiHUOBM3/nZK4qqaZsT7eR+QDEvEtrJTMzNvU1QWx3yUOOiR2wUbrE4iHM8QoRWBxquZR8gKle4ViXnKRf48teZ2r3Z/guw9eYF4dcZZPmS7GrISfICkeoTgh8gYMe6vIswGu9ZClOeVo8Q0WLNnQNzFim0wcc34yQfYd2XiBXkLke43qYvIu/X5Iiw7awkIuaAdbXBQXbHU/xXpYcLR4kUeLt/jiU/+A+uoXOFx+gyuDNcqqYGt1jdpYVrpzjk8daX7GlWEXXwck6RmbgzZpHJOYd6hGCamFF/b+jOPku1i7wvbOU+zPXqBwL/Bk7yvsjR/i1EdYGX6bs0WJagnm5SndviY83OLuG3fZuPYUr7z1ddba5zzd+vc4z/4cLRQuWGKrHpE35ejiFNQxUXiDZVkRq22my1M64lnWw58gWVvw+nf32d1KeWnyP1Hnjmd3n+XB5E0m5+eYwYSnd5+gmp9wkP8ZvutgZMj9/QP6nRZhNCMX5wT14y9VzYsCz/M/sFdUdUl0Ken7oCEyBpQkLwokzZYpy1LaUaNi0fpfE/6gIQpKKZvnplYI23xNXuRIpajrmtDzCQL9AWyiqqpL1YAj8DTC1MSRau71lcSLHCpQ1CbDIZGyAWU0wIoG+6S1j0PTcDWaoF/P8yjLiqIomiZM+3ieR5bnKFXgDI1/LC2pq7KhOhc5YezT7rTodjsEgUeapgRBQKfXZW9vnyiKOTo6wtQ13c6AvDhmOi/xoyYs2PdK8jxnNBzRavepXMX5NOP+2ZSbax1Sozk4Tei2IsqipLs7wAs8ajQ73ZDJPOPtB0fsbj1BfbmoyM7PsaamLHKCMLzMrGqC7H0/wDrzQUBzGIUsp+dQLtGq9VhEuPzATdXv/4v/844QEaPRkMLAsDcATyJ1hLUeSoQ4pQiCkKKsmS+WmMoSxxH9Xp/cFI2eVyg6YQtpaua1YVGmtFoDLmYzrq9cJ5QeXR3QjmNkELC0hmUyY55XUJdIAWEQEEU+O6N1CmNYLFOsCJllKVYatrevoPHodXvE7S7rqyNKU9Af9Nm/OKIdt+jELYbtFkEQIXyfqq5I65InNnYxlIgsJ03nJPkU7Qv8QrMeBByZE6x05ElFVmhyU5ElKYs6Z1EuQQjKqqZKCsbLCdN8ySSZkeuEMAjZGGwQRBGDbo+t0VXWV1dZ7Q7I5zOW4wmL6SHv7r/EZH7A2eyEi/keB+OHRKHHan+dOvcZ9HexRuJcTOYK8kWO73nMpjOW6RxjSgqXcH39KkHtc1KcI22FtJbT5Qzht/H8NquDPiu9G9xevUEyT1CVxa9LvvLv/4Mf6e7/h53v/cnv3HEopKeAEKgoa4OVjYFUCkVV5gDNlFxrpOeRLBdYS3Mjc4K8rJgtlwilabXa+EHIt1+6SxR5XN+JyTPLszdX2V5vozHMS0Ur9lBVTRCGRF5IVtYIIWn5AWfznGVuuFikJGlBWhpGnQ67uz2khbNpju9bkqTC4BFEAcqLmC0LRp2IQc+QlhXGWnwNgpK4u4kTBoukNIK6XJAsFwS+QiqPJF9SOsGw1yOvYD6b4QceDp+iyHnrnXusrraoygqtfHxfInSAEiVpYciXOdPpEmEd3UiRzOe0WgqNRQZtsiTn8OSU+TKj1R2igwicI80y2tS8/FcvMQ97ZGHI6NJb8m/0ZvgYb6pK4+6cjid87Tf/GctlQlWXXDIompfyy8bJXaJjhVRYY5AInDVNj+pAKoUQEudoPn/5TaIoRCpJXVX4nsYJSV6WaO0hLglYWmq0VCjZJAcqpfH8AE9qOt02TgpAIoRsQoS1xjQcYqSp2H3yQ+juFnFnjXfuHbCycxMdxtR1iTWWsqhQQoBSeDokDAK05zf11G4e7r7vEYcBo5URURiivQhbJXTUDGsqpseHnOydMl0sGacl52nJE9fW+ewv/CyjzS7jo3Oy8QO85AQ7eReQlLpHEAQoIfF9DxV2aA93UNmcd89OwdR43TalWuP67U/D4Dr4Q/y4z2h9Ayd9Wq0IpUOKouSlF7/F2uoKuzs36XRX8LWH1j4q8JsmAkF16c+w1uCExeDw4wjlKXavXXls6xTg/73/j+6o/JN0gwck6RRnS6S5jeeXeGVFXp2jBs9h9F00gtAbcT5+SG8UkxUe9fyCrDzixYPfJtcpB5MHmOqE9ZElNzOcvM+VtS/x/tmfgttnZ/OjCLGPMwZp+sjyOqGXcjS/h/YrRNAnWbxPHFumi4zFoqQ3cuz2Q84vFHindIZTPP05eu0mPzLIJa+d/zktvcKkPuSto1e4bjTLos+4foHNjqHTLhBezs3uV3k4+Q5RuM3J/IAlMYXpIUSBCh5R1QlLs0pIi8q8i5OQmhnra9d5svMZVlaH9Fo/y/2zE/7zL/4X/MvX/4y5eZOu9xny8ogOX8ZVV8l67+EuvoPpWgatFZw+Y0N8jtX0GuVRh/mrG3T1p5h4Lcp0QnKxThSN+Mzwl2kF64jz91G9K7x98C16tywvXxg+8WROScppcsr9d8dot4HyBKH4HJUMKdMEIxZsdp5nf/YtnNtAd+6z7f4hx+OUr/zYLz7Wtbo/Se/UVUWvHaG0Ji9LiiIHBJ7WKCFxOCrXoNSLsiQIAgJP4/karVVjEzC2QatfUvk+CLgXDuH+lWiahg4IKCEB1zRuUfTBVqsVRnjAyihCS8Fy6QjbCucqnBWXckONc5K6cljjqGtJUTRD4DDUGGNZLlOUan5WVdYgmvtybSzGWBwOk57x/W//IUJqhoMBe3uPiKMIlGAynVBXltEwJgwCpJTNRi0KaUVtep0untdYAPJMsH1lg6KW7Fzd5HjvDFvX7N7YYm3UpUiWLM4PeHg44QuffBKv12IxnnBlxef+SU5aV5xNC0xZc327RZlnbAx7LKcpZ5MU3/d57/1jTs/PmI7HrK6s0OlECGep6wrrLL7vs1wuWS6XhGGIDALidsz+gwOe/NjnkVKwtfKj/fz/gU3VH/zBP72TJwlVYYiigLSyWCcwtiLNE3wNHdWmsJbeoEdVS9ZGQ4TUKDyU9FgUOXHYQ6sQIzTSSjpxm2ya0e8NyKuU2XKBsJBVObHXZj2MmC1njNot1oMeG/01wiBiYWpcVlLmFZvdAblX4QtHnRtWoxFoj3mRIDVYHC3VYxS1GXS6HM4m3Dt/QCC6LJzl4GQfUVdEyuPw6IDpNMM6i/Yk82zBcpmxKDL67T6DqIewincfnuENUlraRyuJrA11aTivE7SDxEKW5YzaPcrCsdHfYDRqQykZ9gf0wy4IyeLihHw5xSiBMQXTcYoK2qxv79Bu9dGdAbeufpjjiwUSQZGn5MkJ59MzFtmMFdXBVjVW1cSdFlIBvkYQkk2XeFjOz8YUy4Kw0/jA4kziyorl+AzpLFW5YJyMSWxKWTh+8Zf+kx/pQv1h56U//+d3js/nSJdTVDVWSrA1xlmsaPCoUmiENVhXY02JVD6tThdJRZYmYCuq2lAWFZWx9HstAg2n5wve2z9mnlg8z2fQC0BraqvptDzOz+YsaoOrHWnlaHViFsuE0sLFeEFSlJxPUm7vrpMuM6LAo+85pvOMJDccnS2hKrC2QjrJ+SSl1wuJKNBBSLfbIwwEeWVIipQ8LSiNoywULc9iHczGc7ygCSjWwhAGAYURBMqipaVymtJAr9vh/QePQCj6gzanJ2PCTg9XXqC9NpicfjtEKkcYaYJ2l7DdpSprjAyhmlHWgk4cNvLKOmMxPcEKMFajfa+5SZ6fcfHeO1SjXVbaIc3q5d+Q1+oxbqqMsXfef/CI9+6+zXw2QViBkFxSoi6no1bgZIP0VkI2m5BLzb9AoqS8XAA6JKJB4ttL3DqNKS70G5S6cw5kc92FkijPJ/KD5vtJgVQeQgh8z8MPQ9Ispy5rHBbtB5iqxJkarGVRGUyrx2mqeXi6wG/FqCCi1Vsnitt0+wMCz7vECMdoRSMrxOHpRsoSxs2LRxj4xHGIM02ujJSOvl+g0lNsXpGMz+m2AwLPJ9SKoCrY3l3DizQnhzO+c38ChYEipdWJOb84IxhsgPQa9C7yEl8vWBmu8727r7BMc6okY296wc/9+OcuJ9QC5WnK2pEmKa+/9Fd0uh367S7Xdm8TRS3qqpkge2GA8jRSCpwDpEQ2v2RDB6wqtPaaMGZjuXpj97GtUwBXhXfeO/0WlQBVRQStPleHP4apbiM772BVi831EfP0lN3BExxN3mHU3aYTdCDrEq9kXNlMmC0strrGlWHMdHmPMlunzmp0e0akJQeTN+nokHn1CnXlmNcpVs6p65JEzChyn6H/aW4PHuAFNZYuu/1dsgJ6fcjSLaL4Pn5kqauIdvd9XHGdxJ3w4Px1TiYTPvXcOtoWtFtdjuavk86nTM2cnDnFOKfwd6lrj0n5Ctbt0Y2uYKp9NAErg3fxfUOLj2PMiA9dj8ldzryecTYtqby7jLNznln7aT516ws8f+2TvP7eb/Nw+SKD/j28sIc2n0C6tyhVzqi+geo+RSu7ST//MG+9803y1b+g7L7KQH6ExL2CaRdwb0DRf8jmoGKef5Pzuccrd3+d75zf5cr1VV69+7tc2fDZ3XySs7Nj+r0Syp/h2acGTGYlK93PIOWSgtfIyxhlu0S9bVpcUKi3GQSGeTpERX/Ezz733zzWtXr/4OxOt93CWYtUCmssYRAgAO0pkJbaWurK4mtNKwrwPYGnJL7WSE8gpQLBJZWvRqlLGbto/FhCN3/nUoJwFvlBkIUkiloUdYqTDmk8fM8St0Nm8wKHwg8NUmmk8Bp4kLGYqkGl13VFFGn8UBL4CmvAWoutHVpG1MZSFAVCKpIso6oNQglMbfACx/nBA95562UWs4SDvQO6nT7Ymqoq6cYdrlzbZGXUJwg0r7z2Nrdv3GI8OacsS/b39lkslgjg0cN9bA1HF2e8+L1X2Ngc0hoNefGFN6iTGfcfnJGKgEEMr7z+kGlqsUXN8cxye2vAIATjKlYDzerKCrqt2D9Y8OGnt9jeXeeV77+KsjOSeUoQenj4nE/neBKcMWi/ue5R7DGfWF5+5T7XdtaZLGYs8hnPf/LLBIFgffgYe6p+53f/1zvSCxBKkJUlWmpGcZvC1vS9Dk9uPUXpCvIyxZQVm+0haZVyOj1B+z5KWwJPM56M6URtJskFxpesDlbodVtMkwVX1zebCWkYEwQRpaoZzwrWRlcbKV+7iw4Uh9MjwiKi3x8w2lxlXI65uXmDp64+TX/QJYo6YCtG/T4bK+v04ogku2BcjjlNxnSlRygUy+UFRTFHWoOoFRfZlCSoUVqiuwbjRZwmJ+R+xUe2r1J7itPjjP3xCVEvwpmcSkJa5WRJysVpxqjVYn04YGvU5vmbz7I1GLLeH7DeCrFphfIsp8kRp9MDFllCIRzt7oja1ZyUc1zYZ6Xd4XxyiC0yTo8OeLj/Ji5JcNQoYRkvE9ZG62TGoCnA1Q2NKs8RNmOSzCnTAj+QXFRjnlh9ilE0YrXT4/zomJ21PlcG6/R9H0VMgEKZFnUqaCmPr/7S3/+RLtQfdl7/5j+/c3oyRUctlKgprMHaGpzAOQ9rcpRsXohqU2ONvVyjhyjP5+T4gmVusE5ikai6wMoAL9D0egPeefcRp9OMss4pSsfp2ZxJYTDOY3drhSRZYlFYB2/tnXAyXjJoh2ivkU+dzQqurfbY6PrM0oJJ6lhmhkVRIpyjNI526HM0XZIWFXlW44ucWgc8PJpxfjFnMVlQVgpfC3xf4vuC0sJykSGqCul5WCdQspE6RLpiWfloDdnygqqyVAb6gxbFfMYiLfClRIoaHbRo+arJ1nKGdsunyGacni0RZU7QicEZ4igibPeI20OiwMNWJWWeEoVhcw3qCmsKoKbMM47u3uXh0TnXbt9Eikbm9tfeWj3GTVVduzv9fp+tK1eJo5ggiprtkVIIwDqLdY0vR15ukrSQSMnlxw1B1BhzCRlpcOy+ko3vytQ4RyMRdY35VziQno8WjTnb2boJo1SKMAhAQF7kVGWOtRbP9xHOUZkKhUUIhZCNH9GLOqxsXaE32uDK9afZ2r1Gq9ttUP5AEIR4gQ/O0Or00aFP7Ed4YUAQeAjnCAOfVhzjaY2xhigIERS0Q0UkEspsxvG779JfW+fkwRFHiyWrvRYu6BD4locnKd/az3iQhwSdAddvXcXvr3N8nhJ2VhEo8jK/xA9DHAW0yoq9iwuyIkeFivf2HvDp5z7MbDZn/9EDnEkZrK0zXN1ofJnQSC6FwPObbV1eZFRV87IlPQ8hBcY2waDK8zDOIS6N6zjH7vXHe1P1vbf/8s5J8Ye01JyCCcNOzmj4k3TCiHvn36Htz9kb30eLDsvqIVqsk+UnFFmCkjdZCb/CM+2/x5snf8jGRof9iwyYcHGS8GNP/SrH6YuMog1SO0aJikGvh69vUZZt6pkiHoaMwlsob8rT1wrOqkfYzOPW+jYX5bukrmaj12Vveka6gCj0kXKD60cf5pFcx4gz4ihlZ71LmgqmyX1yM8FvXeXiYk6LEPoLLAGbg6/y3tkDjs4POFt0efrqFU6TQxbzYz7yof8MGcDh2Qlb6z9NsryH8DZo+Rd0vSsYsWQrOKLT+Wl0NuPRey9x99H3OHFLouAQtKEV7rG9c85i9mOUnqOnW7xdfQ259jrd9TGhH3Awrpnn7/DGRcbSzNmb7xPcWyf3VhkWH2fSfYOladMNFvRG75MtLjYYYgAAIABJREFUA3S7hPoaaSH5i/eOeX7jMyTi61zb+E957+xPuCi/zUqvQJk9ot7b1O5F0mKHdqzZWvkC7xx9naje4mc/9quPda2ezLI7wSXozGDJsgLPC9HaQ0rFfLlESoW+zKNy1gIN5MHzvGZAIsQlSr3EXiLNzWWwujGOuqrJswJTOzyhCbRPGIRUtqIocqwRlHkDFOp3Y2xtCANNFPto5V1u8g1FbrG1JM9Lotin1fJBWKrSNZ7Ry+13FIZMxnOEagZE1kJZmaZpdA2yvCxyxofvsvfeq0ynZ9RVTZFnaBkQ+j55nqI8Qb/bYTG3jNbWOD875Oz0iMCLkVKSJCmBHzI9n/Lsj1/l3qOcW7e3iHTIb/zGHxB1QrJFgvIF+4dzAjLi2HF2OmNru8+17RUqCSfnC5TwSJ1idb3H0d45caTJsyVvvf4ak8mCg4MLblzfQnshp8eHFGXB1vbGZUhzQV3X5HlF3G7x4eef4i//6jWuXt1GuozP/9x/RFobtkaPcVP1L37vN+5kJsNHN4Gi5JSVYVFVaFlh7CWyWgtGvRWM7zcBZ50+nf4IWzeBaOvrO4ynJ+yuXqfIFb7y0caikdRlSpYU1HmFKwztIObJ7R2Wi1M62idWksALCLyY9a0BO4M1yiRndbRKUJScT49J0hl5kqBtySjUTCYnTBdThIloBTG3dm7xaHHEeTbDCw1GwspghajrEXgxpV2ysbbKWmeLQPust1eRVtFudTiYHdAfDtneuYmvDJHos9kZMfDbdIKIp2/fZthZQUmfWESEzhA5QSAUy7zE6ICiKonDIdbvUAnFsoSWlOhKoYuaVkfTlTHLYklbRQz7q7TDkO32BieTC4Jgg0B4qHIBZQnaIzUlk2TOxCbMqyXOOLpRTDXP6UQ9lkmOsxmVkTy5fZMiFUTtPklas0ynCKFwMqPrK4wr+covPt6bqhf/8rfutOOQsmgC+OosRRiLwyKVRQpwToCQSCU+yLMwSJT0SJdLsnRJp9fBGIM1BfunY9LCsbmxxmq3xYP9Q04nKftnM+4dTdg7OGOepiyzjMrUjGcZ0lhWehE3Nwco3eRNSByLLCcKQz727DUKo3l4fIEQinYU8MTOkM1RlzxbsFhWnEwTnK0ZDQbc359wOp5z/3DCeFlTFjWjQUSRVUzOx5RJhpWaqoZev40IewgvRHsN6pX8mNJGhO0+SgrmszFh2Obe+/cpqgIhwJOWII5YFAVShSA1ufWRwYCiqIgDRei1CZWhqMW/RnsrH60l/W6P7772DtNlxs7uLlEQ4Hs+WVlSlBV9X3L3ldcZ3vwQsW6+/q/VWD3GTZXD3rEIrFM88dSz/PinP8czTz/DRz76UYYbm1ycnDWhyzpo9PV+hPYUYRiDcA2RzmvkLKau8b1GtlrXTa07IAh8cKLR39cGgUIpidIKgSOI2o2JWjWeLFNVTSOldeNHuPRiaaWbYGEt8aSkFcVsbqyzu7XDcDAgancI/Batdkwral0O0jRB4DUyGiVxVYXyFM4ZPO0TxAGe8pFKIpUkDMKmCRES4WranRZh4LE42ud074ydZ66zDPpkOuD0ZMaNWzvs3rrJF37yJ7jx/KcI127QCwXnVUxuJN3BOnlZkGUZcauDMZY0Lbh+/QY3+h2++97b1LXhdLbg+uoqt289xcr6Ot3BGlJJPC/ACwKMaCiMQTtGaI0KPLw4QHkeyvca+Y9uSH9CKoyrUVI1NELp8H2f7Stbj22dAnxz71fvPDw4oKduIwIPJxOOj0/IzOvUpSKIE0w2oqv6rIU/RdjZo2SJNR4bG4aj5R7z5RusrtXsH01xRGyNrvPs9k9yMP0enR68fG/O7ghKc8bG2oJXHx5QkbHaayFkinV9rm18hIfHL2FtyGv3lzh5jlAa3+6gxtcg7rE1/DkK8x1W/Dlp8WmqcI+L5G0C7RAu5HQyp9PxKJKKbueMZ2/8bS7SFJNeMHUJGzvfZ6V/waeu/RN2V3Yoq32e2vksYThHutcp0xaHk4d8dPPv8+L+/4yQFxjjI31Llc2xYZ/XD/+Ylw7/mHdOXyTrX+fLH/sVHly8yyTvcX5R88LbY/r+Nv2B4J3TF7D1Fvn8Ed14QF57aM/w8ec88mybTl9ya+sp3rffQSnHyQNDbSe4wufTH/t77F+MGSendIMvM1u8iReWKHmBDDJmU8fJxQt0OzfotRUm3yQIa96+vyT21kjNFFPnmFmH8/kx3d6Sn37uv36sa3X/dHpHKYW9zJSToqGiVmVJWRRIQWMvwYKrwTZNiRAC5xxOQF01wIhmwy0JggDPawZBAocSjnYrwvcVUSTxfIdUFu0FSAme0kS+T7cb4CjxA4lUjtqU1HUj3w9CS+BLWlFAEAmkqhCiRgifxaLAWHm5aYMsS7FWIJXCWEdtLX4QsExS0rzAuYYu/fDtbzE92WcxL/4/9t40xrL0vO/7vcvZ737r1t57T8/09OwccsRNkklqSRzLciRYimEoiAInzuIFSCwgcYAIkWEDWb5aSQQEDmJZ1pLEEiBKlMR9JJLDmWHP3vtee9393rOf982HU2S+0QJkkRqTz7dC9e2q6n7q3PO85//8fozGS/KsIE5iosjD9zT91T7SCt584xpbWwMcLSkWAisE+4djNtc3ODgcsnlxjS++fMhHntomm824+uZNtjZ6PHVxlavXdrm7O+VDl7vsHC7Z7EWstEO+/u4D7j64w/R4TuRZ1noNyjJluHOAJeNg7yHLxYzd+yMuPL6OIKPKckbjCdubfR67eI55PEd5LqawdNotRsM5jiMYT0Y89cITPLqzQ+SHfOHlz/Bjn/z36XbDv9C9+m03FI9mY6ynSPIMRyvyXKCcDN9WdNwBAs0iz3FVyGhpMEVFYQRau0xGY1a6K6yubDOdHXF69TyLdE6z47La73B8fExelPSCJl4oyeI5aEHpGr58+xomyRlEPoNuj93xA3ZmI56yFzgSc/JFikklmaywFax5TQqV82hywDKe02k26QYuBYbjeM7h3fdohm32qn04jrCRYBTMCE3EeucU6+EWlgLPemx2+gwnE9ZPbZEWJafaIbvDe+TZgp6KsMLBLwTZPKHZ9CnShHlc4ochhSoYljm+6yAqwbhSmHTONI1JnCMG/goN3xLpkP2DXawu0ZVi299kf3lE5iiG5RK1MwFADgST5RFSufjSovwmHS+gsBU5M9I44XRvHQeHhlK0/Q5up8H+bEScT0mWS7Y3zrIzGmKKhGrmkpMysWD2hjR6hlEi+OhHfuQ70mx/njUbJcjSkiwTrBAoBLrhoayoKWdWkFdLrPGRxpAkc6wVSDlD+X06K2tEzRBRxMSmYn8UgzXMJ0PumXqZ/uL2gCxNmGaG8WxJnBgaoctGqJimgnbocHqzR1kUGKnp+prY02gJFzcMhYVlWrDVa+LToxG6iKrg4eGMJy9ts93oErkzsrzAWskkB9eVNJVHJ9AM5zlVWeC5muOjBTZPaPbbiMAjrnJKY5FljK0EOSWFzfj61T1eeqHB8f6cRiPAd8EhY60dME8TinTJ1BiCKEQ7HgU5jaZbP9VNci6eXiEtJLnwsXaBqCxCGnZ3h7T7K5gyoxl4fPxDL/LVV7/B1Tfe5InzW0RhA6VdivmIBzslQeDxhV//DR77yMd54fIW1n6HRMF/wcoY8LSg02kxns6RWnDh8mWMsTz3wY/w13/mb3B0fMjuo13KqkA59YC0TDJu3XiPuzdvMDza5/6dW5TWUJYVQtRv1MINiIKINM0oyhStavEkGFzHo5IGV7okSYzFInNqyl9Z1lFAagGmo12ElIiqrIctQCmH/mCN7Y0tmq0GytVEUYjjiHqXwELkugghMKbA912069XYdFmDL6w1CFHvOwhR6wSksoRBA2sLTC5IjSVsrLL1/IuMZ39M4fS48vEf4M7DY37v7d/lB6qSXreN21vlbHCGezt73N+f4fgOvbU1yqrAcTWO08TzfHzfp9vpI5XAf+YlLr3yFd47PkBYwy//7r/iV1/6YeopH4o8R2hLUZREUeNExCyxJ1l/awzK1wgpKaoSVwV1hFOC54Xs7DxkdW0NpfS3lt3fz/XujRRjXAgf0dRnKEXMqe2EowSaYpfZeBtfD0nuK/LlH8OlCKMLjOtzfzjnudNXuHr7DZrlQ9qdFiY7YGd4i6l3k7za5qVNj7CUvHrzPk9clAxjw4XtLjIJSJ27zOeX0cZnNjf0+hN8+zx73h3Obfw1LrQ/xa9/9T8kCYZshv8Og+4mD+46GFGyde7/JZj+LGu9u7Xrzf8QGyvvcfvgNmcua77+mqTz1G+ycU7wlZct5x/TaGvQus3h/l32ky/xwcf+FvkCjP5D3tuBhv8WkQOv7v1PnBn8FOj/m7CRcjTyifolrk15+HDOU49LRDjm5z74t/ijd/6IaTrkhbWf5Z1yj479I3LlcLz8Ksp7nl74+8wSRVpK9oc5YSNhPI1QqWC+LDkMb/OhS89y52jJpa0PUEQxs9JnNJyxnK8Tp2+R5XdYLJeQT9DKsnt0jPQKtFqyN/4sT3ufQnhjdHyZ02e26ek28/1D1vttRnNFnmhM4X23W+3PXFrXe6J+ENS7n359wGGxJzHAb4p9LaW1CKlI0+Jb6G5lZA1QK+uPa1mvRIj6PVgIxTcN67bO/mJRGFP7BX3fR2LBVviBIolLslye7MFbosjgKslJkJs8T7BKIPDASCbLDKuc+sDXGlzXY7nM6kMcxyVLEqqyIp4tUVrheR7GGhAO7918lypP8DzJ+kaX8WiMIxRUKavr27iuy/UbN3j84lni5YQqrcjSObfvD9k+tc17717j1PnzfOmL3+AjLz7BZ/7gy6xvbWDKnLWtNW7dPKQZOrjK4fNXD/jxH7zC19/Zo6NTjudzHK2ZTXZZzAOmizF7uwndFU3Pj+iveqSZ5cz5DveuPyD0fRrtCEO9fiFEQdQKUFrx6O5DyrLD+tomR8N9lNJcf/saVWqZLic89+InuHv/gHPnVr7L3fbt69sOVb4bIhyFI2u3ie9KtBL4nsbxAoy1FOUMaxWuJ2g2QkpjCF0H1+/RabTxvIAH+7coXehGK6QmgUIQOQonajGfjun21giiBkme4lhBaWecWl0nlBpbGcZHKdNkwZGasNKtCVNFnuI3Qso8Q0nNwma4LZ9kWeFGLQKpmS3GpLJimM05noxouWu0+y6nzpyhKisOj4cslzOaUUgz6kBpuPvoOlJZ4oXDyEw5vbLJamcdmReISkC1YDjNaDcjVNhAWEEQCApTIoWlKlOs8kgrg5EpgVsxTmKq0pCZBSutC9y+ewOrS5Rw8ZoKazNEapjnc8oqp6UDOlGP2GRsnj1FOS1RWlOamED7dNprlNOMQDUYuE0cFeIrD2E0B4cj0AIjQSrNcDbDlRWh3yDJcyb5AlNKChsTLzRZlXHznbe/U/3251ZVliJdB19IZlmKDnyEldhSYE1BeSLwNEVKWZYk8yWmNASeg2SK9LooN0CQELoOjq6dEjWSVdSn/Epwdq3NOw+nKOXQablEnkvUaqJcg+v7hM0QqgqlJckiIYpcXFmSZRXHy5QkKemGDqpT77JorTmYJEwXC6pAgwRxsjS7TCo6jQaL6ZwwcGm0usii4HCc0IpcSiSLWUrkthnOckpiuu0mWluEUSgNa/0eaZyhbYXJC0oR0VQxvbUe5mDEIiuRomQ0XTDoaagKShp4skbEWnIC36fKDVXlMxzepdvdoIhnzBWErqVUAVppHrt0kZe/8hoXT63jeR5pBc1On/FwhKDC9TzuvP4qVy5t4quaYIf93hqsxuMltioQTg1UECdkpzRL0J5G6YjV1U22Nk9hsDVRKq9IkiXtRkjT97l71ydqRNy7c4e8yFDaAVNjxaVUKCFJHEWaJChr8XyfippKV6kaYFEKgUlTyqJASIkWEotASkNZ5WgcKlFHZX3XodvtMlhdY21zi+3Tp3B9HyUVzUajHsawlEWGlJIgCDAnkAshbC0qRqCUgxASx9H4WmOtQemaGOs4Gle3KQtBrhza25dYuzIitSGj2MNtbvD49jpO2MQKSemGZIVBlim9tS73Hxyy3dtE61oTEDVr4aeUGsg5ePgIIeCnP/Fj/KN/+c9ACuIs5eqt6zz3+JMIY/F9lyKvuHv3JhsbG7TbbaRSYADkt+J+WkqEgcKUeF6IVIKyyOn2eye/MxAF4Xexy/7NVEN3cN2EkiaLxTWKsqLpfJxIBPQ793hUBuzufYmgnDNWlif6zyKyPc72foQHs9+j4C3Gs/usnBXEC0WSZbTcs8zSVfz8IV/70mW6Zz/H5mp9szobCow4R1Lc5FTnKXpNw7S6xmRmCRS49JkVj2g0C944/hVyXNrtLVL5ad4++CxrjXWS8hFOI+GNm1+h1ZgSL3Ke3zrP23f/EBtAOrcUseXmXXCCEPycPIXdA8FKa8nnrv0Kp3pdItXgczf/VzrrFeu9KWVmWdlQ7A8PCeU5Sm2J84LhsGJ1YFkyx/MtZT6iETX4V2/9XWbpnFC7XD/+NJfW/hrj5AeZprcobErkwqPDJqFeULqHuPI8vrvgtWsOShmc/j7r/gommrK1/wkm1YKdbJcPP/6jLOOAUjpUqoUrQ1x3iu+eZm/yFqdXt5mZMaNlxmb7MtPiKoGTMnG/wQtb/4jR0S5a76CCFbLFPu1Gi3eOdr/brfZnrtD1kZJ6oJICZE3qU7K+OilVo03NSXJEIWmFPkmeUha1t68sKow1OI6DUvWeJ8ZS5obcGLTysbZGqLuOS2VKXM8lzyqobL1DKgTLeY6xIKSlKkuUqPe1rDBIK8kNoFwqU2GqejfK1S5VBVIoSpvWu1PGEviaypRURYUXuMRFhes6LLOU+TJGGMPk6AjPZLi+hxIVC6VpNjxcBXGW0ul3EBa63Q6jySFKOrhBk2YzZmWlzc7ePjuPDpHWcP/OkM3NTaIwwN3qcnj8iDx38dwKTEJbCb78+j2eOttDlnPGE4fjWUlMhZY5oSMRxtD0HbIqZrp0aPsOe8MhK70Oo+MxnW6DZFFQJjO2tvtcf/de/X9XaUKtGR7tIRWkSUyn3aQKLO1Ohxvvvc4P/8Tf+W622Z+qvu1QdTwdITScWllnPI9BQug0CbRPEi/QSnN+4wwlFUVVoqSAwiGpDMtyTDHO69iIdEmSCf0owK9KdvfvotIKz3WZpzPkMmQtDHGbPWajEX4uySdzROSzTHP80McmDgtbEB8fEhSKXr+NxdBrR2AUrg5oKRfNnLDhUynFVmeDJxsr+Nolzeq9EVlVXL35FqWq0I7Da+99g6cvXODg4X3Wt85g8wQ30OzYEZiKw91jfM+wTGLmacH57U1OrwxYForRfEJeVLhhgDUFykoC6aGqhKyckWYlC2EIvJDAlbjS4eH1++Bk9KM2Ni3x/SaTyZAoiFDjEu07NJo+1uREYZs/uf4a6a2Kj334BXwnRrou86NDGqZBWoF0fNIsI5YLPBFQ5Bm6gOEwJ9CwfWqV2WyfLJuQF5pKzMEGqGa91+CNJdPx3neq3/7cqtNvAC5RW2L3p1gpkYAoM0yc1zlqHLLEUhQ56XJGnBvcQRslM4SZQqWZxmCUYqvfI81TpC1phB6V53E4SYh8Dz9QbIQtVjtNTFkxWeRUQrBIS6KspBVpojAkjDz2dxdI5XLuVMBFKbmzPyX0Wkwzj3mcsNYNOHO6ga0kO4dLysyw0vKZJJoLZ9Yo8oJ21AQq4jyn1fHx2wNklbKM58RFjpss6LUbHI1jPBGT5C7bm33msWJ1PWI8mxJ6ATaXDMeH2H6E3xzQynL8PGd4PGZ0lKNVhKNHlNkMqxt0egPyqqBK5+C1EVqyMtgiXsTkSUK3HRA4AY4TMtu/itO6wsdfuMS9vUMOh0OkFfh+yMapU7XXI8+YzB7wxc+/xo9+8kWw31z1/d6p44N7CCm5f/8erhOxtrWNRGOrirKqULqmTlamxAWUdGhFAtNpsb21xbPPPMN8PuPweJ9kvuDw6IgiL0jzjP29PYKoQaPZodFs8YUv/REP79yuHYOijrMskzlpkqKrEnQDR38T5ysxAnytMVYQRSGB7/HUlWdZGQzo9/tUpmCl26c/GOC6Hu6Jy63CooXECwKKqkQg8FxFXhqUdqmqmmSohMBxNNp1qWwN2rBYtHLJ0iWOoyitT1r6zGQH/6nzBErjxQnGGDZOn6MRKgg8lqVDukxZP30J1w9p9Be4bg2QkELgeSFpmrKMl0RRyOUrT1OVJUIq/ubhPv/sM59GOpr/+Tf/dy5uXeSXfv6/PIkDGZ597nlOSPcn6ORa/KlPoB4GWxPhTgY4hKR0C6KGQmtVU8fs+/9JVa4zBuFHCZyMG+M9xvGcC80LaHza4Q/x2vwX2Gg3Wb3wDEfZ65xbfYJr1yvE4BVWwwU5EX/5I/+Ar137J3iBZP8w5uNP/gBpepeHxwfcne7z3IbC04aivMCsnPLJp10OJx9hmn+W6VAQNX+C3hq8ceM3eeqxPyaKMmazCu3f5JPP/B1evfN/sMhBVxWl3KMVrPPw7phFdodipnFblmvDL7PS8fD8ioc7BR/7kEd8fIpRUfCRZ5/l1Vff4cyTY167lfDUxSnX7074rTf/NuvdS2g+wWT8G1griGcuq5sBuwe/Q47koxd+gWpwh7T4DawD6VSx6Ah8d4l0rtEODccTQ7fTYVHdwMqvIr1HNMsP0GmtkFU5gbL0VxRXj6ZsrMLD/ZiNVoyWYP2cZP5xfvj0h/nnt/8vnrz0cfbSW1Tl63RbAaudT7BMlrjNLYpqn1wJlosJ0j/F0cEu2j7iwpZifvQ8tgW//co/xhUD+o02Nx6+g1JHXFw/Iioe/2632p+5DLUPypz4+yQKpTXGVCeS9NobpbU+8TGWCC1xtSBwQ4qyQpUGKeuoXVUZMKCloKSGBY1nUzzXoShK8qLeuSrGI3qdFr7j4bq1RN1UkrIocRyL54DWFl1r2vkmQLCyYEy9V6WV+NYAVtr6ANfYAiH0CfxGEwQucZqhpEAJTZ4UNIIm88kQRwlspUmSmOV0UUcVlcNwPGQzDFjO52xtbtZi+BLefvsmW6cGIASj4QRj4PadXa5cOcfOwwPOnPKI4yn37+/T7TU4Hh1y+lwHT67RagxZlBEPbuzitwNOr/Z46cMt7t2YoyKPeDnj+efW2d8ZozzL1ZuHfOhSF4FPoxnQ7UYUZcqZ0wOSXPLqq3cYjcYo4RH1I968vku30+K55x/jzp37LOZz2p0u9+/cx20EvP4n/w/PP/Gffrfb7dvWtx2qVtubzBYHaOHQCRsss5hpPEc1JYPVLWbLMdd272HTjCJfcuXiZaoiY5iMGIg+pUgYzeYoW9IMQw73DylFzihe0FZNjo7HvDt8yPmBoWh0CMMWraBBv1MgqDgajRlEEe1eF0tCw5E0wkGNlKRiXlrycs5qb4P50rLSPkOZp+wd7GP9isdOPcl0lnCYTRnOHjHLpqz4TY7nYybFglYYsnV6BZNaDvOMvffeZKXZ5GCSMK8qEDB0D+ixiRcOiKsxD+IpTZmw0h7gxiWOtsznE1CCTqeLkJpc5qSFZqXdoeVESFmiww4Ch/vcQZo+++MjKlHRTDVlkbHdXuVsfw3j+3SCiNF8Tjqfc6q1yn4wx1GCSaoo5wvanQakkqZbcXR4jBECpSF1K5rNNkk+ppwV3FrMafUfYmyA57ps9gY82N0hNXPS5ZzS9Yn6q3S63e9Uv/25ldQBxmoqa4k6DbLlEhWF+I5AUGKVhhKkI0Ao2i3JYjQhXmSEzYDIVXiOBXzipIDIIlRFlpYMpzHt1TZxkvOFV2/SaIS4rmbQafDkuVUQgjQ1+IHDfJ7z+jduEYYBj5/fQGtJEHgk84JClGx3Na1uUMM0CsPBEjbWGgy6EcXuEc2GQ1kVTJYxmhRjJO2VFYRShOkcV2tEfEBj4xxJapju7SOXMUIGaJMwnQhCvzavB0GAyeYE3SbDSUYOrK62WCwKOmtt3n37XUJPsjJo4S4Eo/GMcxfP0Ot0KIuMokjx3SbT2CLKhGYgiUtBp9tlEU/ZPRyxubqKE3l0t19kNp6Q5RWPXzjFZ7/0GufObOCFAXG8rGV+jsQ1GQfXXmf58Q/SqCF031N1/rGLlIVlbessx8MZSTzHVHENk5ACUyqMztHKQ7qKMo9R0sd1HBCWIGwQNppsbJ46GWDAVBXWgBWW0WhImszpdwf86I98so6iIpFYiiLF5BVIiet6aEfV7jYsVV6RlQVZXiKsJU3mzMZTuqsDlBS4rodEEPkBnu/WT3GxJ/tEFa72yMsM70SeKaWDpwqk1BgtT5atNVSG0lSYIkdpBy0sWToniJrs3L9Pr9/C8zwqA67noJQiDCJAUBQrCFHiOB4+lkajrF0vWrLqhUghyLKULE3AVvT6KzSaHRynjhoiQArNz/3Mz/Pew/u8/MZVsJZr83f4Pz/92/z8X/1ZPOXyzaSPpBYzu+6J/0ZYwKKAEosjLCiHGv9hsFVJZQRa13Gj93s9u/Wz3Njb5/7o15gtZ2x3n8ZpPqLbiHj1zj/l6e2XeDT+IgfxV0jyJ1jEDtd2fo9bwzYt3+NTz/7nfO36/8aFVcOd0Tq3DyteuPgy+8dz+r0W2+tz3rmtyMoSMz/Nan/GF169yrlzDoOVs9ydGHZ2fgu/Dd0VxZdfL+m2LvLFl98lt8d86rmvM5tI+p0ZcWF5MJY0q4zDvR7PPlXyA0/FvPGeyzx7F9e+iFJ/Qlpe5vbdBUfHD3n+xYJ2IBisPs988ic8dXaCEwg2Vz/I7Z0vszf6BqvrJa0GdJrw9q0lF9sLbt2NWV+veOXB/0LgGbLZJT72sSFX33DIs2MWyWl2bz/CUPH0ZclkmHAkv8T26ic5Pvp12u6C/fmfMJ826fcznPiHuDF8wIXiGGlgJUoYzdtcaP4lyrLJ1+xrbJxWJMcTTm2Ko7IhAAAgAElEQVS73J9PUOYD+O0vkS4uoAuH7uADjMfvYYKIJH6Ppy+30RwxHbqErXsoqbn0WEUyW0Hqb5xE0iQPJi3897+mirwoAX2i39FIKUmSBOcETGFMLVTH1PFerRWlqZCCWrx+8rrKlDiOJM5MfeBUGdAW39G4roM5eapeloYg8omiPqGoQJ24LhAI4ZJlFRKD7wLCouWJLNhaELoG3ki3jm77tUvSiXzyvKCyAkc7lFWNGgcQ1uJpjbUVo6MhUkrm4wmNELI8QVWCsizBgpKCPC/wPB9rLN1uj/HwiMlszO7+hHMXT9Ff7fHo0Q67h0dEUZOXXlxn73BIXmaUhc+71/e4dL5PkhRsn+uwXHgcL2aoMGAQVmxc7vPgMCe2gt/74kM2Arh05kke7Y0Ih4fs709pRw1UJZgeFijPMpnEIFI67S7T+TFVKQmlQ7nZ4q0bx2z6Dp98foNrd2Ou37hBu9ll//AYIeacPX2a6SzhjS/+Kvz8+3io+tBHfpAg9CitIclSQNH3AoqyQKIoZcUzWKQwSKtoOBFLm9FwPOI4xvU85qlB2gIlDPNFhetDJSGSPoWAH3clPpppNiMKIkLl4TuapCgRVY5Q4OLwvLUErovrhxipOZ4cs0yX9KIB1mZsJRlLWxI4ivNXnkJYQUmMySxCSdaLTXxcMmm5kFkagYOrXMbLJa7jMJwuafseyg1R2iVdLnG1obACi6EUJdZW9NwI35VgBdrxsWVBFLbJszlxWUtZE0qk1HiVJamgEzWpXDBlzsbZi8hKgDHk2pKVKZ6UhNLF0z7TPKuJXtJiSslsXDF7aslTF1eYFlX9iy4Vk/kYZeqYWbvVochzbF5hZYm2Lk88m5GVOVtrDRzXpaosmJKLyZzKOrhWoP0GeZqByL8z3fbnWNdv79FvNQg9SZakzJcp8zghjBo0mj4myTHaQyiJ60Z4XhvtatzZkmw0oygsyotwPB8nL5nlisIoQi/ELS1ZnOA5HpfOb+Brzc7RiFfeesAiK3l8e0C/08TTglZbsdY+gwg6hJFDmZcIKhazjDCIkG4LrWvR4Frb4WCS4eUzfOXQabgoSuJ5RSk0rhIM1iXj6RGe7+E7ijiztNsh88kxZ88MWFnboKwqAl3x8PZtbu2M6HQdBrKCEtJC0+x0CfJjkvmS4+OEU+efrEl+kc/uwQRHtwl8Ta/fJZ6PiY8fIR0H6UTM3CaDTkicWzKrSZMRnqtxlUuV5UxnIw4mU85euILb7NINmygzpBG53HywR5IWnD6ziZMKkC0QmrJY8gd/8DJ/9a98DP09NlXVRCqDYyxF1cHzgxqj/k3yVFmAtUghKPMSR0my5QwReJRFVvultIt0XBwpWSxm9U29ELiuz8baOoXpI62lNOA4Lo6sJc3WNqkwmDTDAlYKHCtq+bPSRCrAUy65qdByE6MgXizwXQ/X9zB5WWPZtUZagaX2uGBNPXCcIMyrqsJYe7LALSlL0BasrVCuQ5ZUOKqGH1W6vo4u5zNWVvu0mg2stVS2Pu2VJ/GdLEvRuh6ysnxZI81F/fUwJUcHh3i+pt8bEPgRVVW74oIgwtr8ZD9KUJQWg+Ef/9f/A//VL/0Cb9y6QVoWfPoLv0sjCPmZH/0JbFl/3SRLcT2HqqyJXkLWMZ6iylEnjpmqyjGiBlxYqethTCsKU35X++zfRB0d7+BHbzJfaIxqYvSbvPbeHv3ekv7AJZ9ewFc3uHU0YrPfY3I85d/9S4qdBx9le/ASn3v7dRrOE8yLB4T+W/zQ5QHaU2xtBwwPUxbiKXqNfcbDBWN1j9bKgq7ISEYpr78tWW+fpdfYYvfwEU8/47HW2aLpHXPrcMp278dB/T46uEJVHhJPLOfPdnDMKqtNgVIHXL0258GRR7c9wG29RRV3eenMx7kx/hyrpyLGUyjtffob93nldUUx+xiF/mO2tt+gHZ0ncu9girtkheJBcopB/5hlvGSl+xj7h1fJq4xe1OAHPix5+90Zzz6tONoxLJMZT1z6GW49/C1e+UbOx57PGC8/xGhyyFp7jWW+gy26BG0HaGDsl/nrP/zfkRT/PWsbbS5e+PtMlxOu3vqn9KOM1PYZHa3w/PkXeDD+I+ZmQWE+w4o45M5UcFgM+aCfEnhzjhYHiGyVVVUDa+4NHRbVMWHQZz3MeDh9lY3geQIbMJ19lVYjRnrv/2twaUEaS5YmJJmGk6fis8kC1/NqtYMAshwlFS41BdVxPCx1ZFBUBs+rB5cw0IgTKFBelZR5Xnv/rMRKhXXB0eApg7ASqS2mqvdGszxBS4mnBUrU1xuDxFgB0iVPC8oCjLAYY7C2pKos1tTHMxJDVeREYcRkkiKlYr5MKEpDmRuCVsBkPKPZVLz61c/j6QgpYyaxJQobZHmK4/gEnocQgr29XTZWBxwejpiO55gq5fVX3+SJy2dY6/eYJ5p4mVLkglazz9e+cZUXX3ia0eiYZqvJuzd2wExphZKttXMc7O9x5dwTjCdXefvmmMvnexwMc6bHQzq+Zb2/iSgFCEOEiyklZ7fXOTjYYzROwCg2N09jhOT2zTtcWV1j04949c6Me7dmnD3TYXfngMPdKb3BClK6PHqww2C7zc6d8Xe1z/409W2Hqv/iP/lvv1Pfx/fr+/VnqlBp0qQgcCS+J9EocquwyZLD+ZzIFThBhFQOxviIpo8jV2m6S5LJMceHM2xQsboR4vku5SJHKEEpHfzIpROEbA0iJkmKdiUvPXuJ/aMRVIY0yzk8GtNu+QhgZX0FU9Zoa4B4WVIiGS5jBirEFSl5UfLgcES/6eO6JdOjOaMU+g1FVgkCT/LO9QOunPfxgwhJgec1EUw4fHCIsZb94yXTecEHnnmMSrisbG1yMM8oSrh1/RGnTq0TBZY4njKZJFSFpbfeJZmNcAYDHr844HA44f7hjEEzRDpjAkdji5iqKPGjFBVpHOHiuw6YBG+lT5amDNYG5KN7zGcJ06xgR91jY2MFP4wYjSt6nYD7+0N6zYhb793k8pXLGKZkWUW322V6503i5KNEofiWb+l7odIsPxHuCgJfYYyCSlJUFUUFvu8CCmsMvi/q00ovqHf7whZVUUf98vEc7dayX20VpcnJ0wVxXhMdvbBRw1ocjXRUjQamHm4qz0MKSWUqyrIkDKITlLut3/itxUrwHQ+vXS9vCySuH1BWJXleIKXCcfUJZav2t/garDUnA4+ttQVlvcsnHI0Q9YAiTIVwNK6upZuOkgSeg9aaNIuRQuFojXRrSEeaZ8gTAaaUmsBzEUpweHRMvJywtrrO2bNn6idglalJh46POAFGaE5Qy6ZCaYMWDtZY/sd/+E/40lc+y+9//g9549Ztfu23f4OdoyP+7n/wc1Sl/VZMKPBDEBJsVf/dxqEydSTQkSeuGmsoqhxHaYoiR5zg69/PJfJXaDU+wo88/Zc5mt/i9t6/YLBVcHa94vjBT/Lytd/n2af22GpcIHQMt4afZ5j06TRfZm7uc/mxGU2vyetvKD72IZfrN1eYTC5i5NfYHW7xxGOrNPUn+Mrbv8yVi7sEIuTOcYEU4KmE1+4+pKXnLEWXi/mMRX6D2UKxODLcXfwB6xuWJlOUI3jhBcsyHrNzPKHfHJAVC6Zzy1rPEgQVy9TihMfcOf41kuwjOM4+k0VOuwGuH/Af/1TAb/7OO3iDiwwPPT5w6RJfu7FDwRxRVCB36K3klLlld/4GvrWMZgJfx7z66jrXH93k0nbOU08LlDtDlDHPNyTHixfZX3ydNP8KyUzS677Iau8ei9kjxnlAzJJm0+PHtn6S33jzdxgN93jd/SVCt0VlNV6YsRynrPS3OTbXyMuYgacYHwtE92/Q8+5ybj3l3miPEp+W55OWh1D9OKKcsNqJeXDwBsIuyYIP0O7sM1zscrw44nz3SYbxO3Tdu9/tVvszl3YcSmOoUERhgziOSZYxSiusqCXdWmsWy5RG1CBfxrUo3Mp65JGaqiwoCoMj9UmMr6AQGdaAEOokRm1ZLPJ6vcBKMlM/9VKlS56kOEqhVR37kycodqEd8jKnsg6mKLFW4rkSayqwEolEeZZ0aRDGxdgam461KKlYxAlGWFwvAJtyeDjFUnHnnbfY232PNM5pRopmM8ARDqYqaDY8vvrVN/npn/5R9nfv8sbb1xG6w+PPPEc6fUQjiJhOZmSxxW0E7D/cJ65KPvihH6LZEnS7PrdvJqxurPHk42cYrKzw8O4tktjw9PPPcevae/RWH+Ol6JjB+ir9yRTPX8PRC7JSYIVDuVyyeekC33jjDk+3O2x6grDRoLIp2vU5GE147rkLNBsrOPt7PBl0WKYVQoWcPXWG0fEj7g5nXDjrIhOFqyPOnHa+2632r633/5X/+/X9AhrNBo3IRUlRXyz9AN9xCEIPTwnSsn70bq0Fa7DGYKWltBLt+URNn4a2YNJ6kd5RpIUlTkqmy7SOGLWaRK5HllfMFxmbnQaO5+EHIYEjmE6XzBcJybxEKp+qKIg8aLV9PKXJ0wzHURjp0Agd2q7icJpyZy9jkUNlBFlpURUoW+C7kBrNMq6HtmkWY6yivxLiuJr5cEiRzUmyBdNFihe22Ox3iLOUtc1VvEASpxmj6ZK1zVX6gxZHR0tcR2DKHNfr8fj5M+wdTrAS0mVKUlYsCssitlhtKLMFy9Kp42fap7ICJSEzPs1+H9d3icIm0iTkRVLHDqIGg2bASjvi0eEQISyj6RKqEonBURIpDG9ev3uCq/3eKdfRaC1RUqAFONI5uWEXeK6LVA5VVWAqi0WihKAR+njaZXx8zOh4F0cUdPstWu0eWnto30W5IWG7S2d1g05/HSkls/mI0eEe44NHpPMRZZmArN0s2nFqXPoJhr3GspcUed3/mJNTVCFRnodSirLM0EoQBB6+735LTKykOIn8CcQJplgrXTvNPBc/DJFO/XMJXQuAMfWQFy9mlGVRu7WqCt8PcZx6aILat+U6Do7WJ4OKxVjDo4cP0cKwvraF6/pIqetB7IQoqU+EvFVZncT3BFpqpHbBWCpT7wC/9MEf5r/5e/+Qn/zUp2i6Dl975WXeunaDOE0oyxLH8b+5DYExljwrAFHLl62lKivKohZtuo53QmP8/7+P93V55zkaHuH5X+Ross/RsUcnbPLoYJN2J+T8akyvbRmc2SXovEKHNoU6wKgpVb6PIzdp+z/FNIEvv1xycLSFVglapjx74d/j9u7nSc2rdNs+HafPZJ5hC0FpBIt8gXRicHKUShnOBK7XQeuCCxehkE1k5XJwnGCw2DIkIqDbWMX1KiKvz3gk6LVzVoIVPPdZ1vseg+5FlsurBE24uPEEgdZ09Avcup+QiZStzjbLKuFrdz5Npp6hyCvaXUklCuJxSJb1WaRt7u85VCUczQTNqI8vIlZ6iqMdgbIF7egdGn7F6d5likrSalbkVUW7A5PYYbSoDzriQjEcFvy9X/nPuHsvZHW1InIVi/kxQTOkrFzGi5wz3ad5buvHeebMf8R0MWJZDtkZ36QI73CwPGbQnjFJlnh+SFrknOtPKc27WDmkNCkH45hq2sUzz9GSpxj0+jw83GOSNxiO3/9Qlel0xmKxBCGYzWYYY9COg++HlJVBoGrfnpBkRY7SGqU0s/mMLM1Ik7Sm6VlLlmW1CuXEYfVN+E1ZVuRFdvLU32CFwNpaqVCWJVC/xnX0twiCFoOpKqSqr12cHKiJE3m70gqLoiwsSim0ljV58ASSVRlDsxlhrKUsah+WoyXGFEhKsmRJUeZUpWE6naD1SXYZUNrHD30ajRbnzl3iwaMDPvv5V9BaM53N0Y5bw2cin5XBKqfPnUdr6HV6nNo+ReBrxsMpjXaHIq9/3k6vi3Zczp6/wAsvXOSZK8/S8TwagY+0Gf3BKq7jgvY5ff4UURhirSItCoxVeJ6PwcVUiv5gHek1yIqS9a1zrHd9XKnYGWW43T4ETTzpksUFSbYkCiJ2Hv3F3///tp4q4Nt+8vv1b1X9hWb//+vqq5/5F7+IFFgnwIt8HK3gxIiuXYVULq6javeO4yAcTVnk2DJBawftO7i+V8sCVX1TNxktKKxlMpogpMTVkqTISfMKYQsajYBQWsqyYG3QZKXXwJSGJE0IAoUQGaURBKpAuAprLUEjxFGa4WhBXuWAYThJWcRLrlzs0+2FaC1J45RFVrEWWKR0KSvF8HCEqgS9fkCrPUBlUzbX2tgi48GDAxpNid/u03AcyCZY5eL7LlVW0GlYPBeq0qXVadBUMX7YY3VlhZWG5Nb9A04NApSBojBEnuT6w5jd/SlZEiNEQWldHOrdElnFuK11bDLCGMnG6U2CoEmVTalUg9DNObu9wu37R2jfQ5QZK4NW/VpRS4aTw0dEZx+n47twIlr9U9X72FOFtb9YE/FEHUmTktxaPNevI7/W4jourlOLcXd3HjKfTXE9H68R4YctpPapqP+cUBLHdWqBpZUoLUFotOcRNNpov0G3t4L2IpR2aydbEmOrWtqcx3MW0zHxfIY1Fb7jEfgeQjk1ifKbwAYp6v0oW99oKFn3s6PqmwAlJaaixvpLVUMnipK8LFBK4boOQiiUFPWAJBVKaYIgRCt5gjuWVJWpvTEnQ50xFtdzMFVZAzr2HhFFDRrNFtpxkUrjuQFIMOabe0z1v6uQ4GgXUxYny+r15w31ybO14GpJ6Ec8/9xL/MSP/QSf+OjHeev6G3zu1T/mzqMdrJCErk/geDXNUAoMJ0AMVS/DS6Wwov5YIpBKUKFY6bffv30KfO7dP/zFDz37CV679cvsPjB0OjtsbZxivXGOG3tfYVF06Df77A938byS3DxkOY5w/WeJmjeZziY8HH6Gpqf52IcH3Nm5S9R4F8dfYZZfpch80kXK2TXLwahJUbUZzY7RrsbKgIZOubx+CaU1m90zKHGOIntEEMHjpwzrK+d4+42c9Y3LKL3DdFErSmZ5SFFKLqw7NMMPMEtLHhy8xelNyXD/mLf3CxrK4fCg4sLaT7Oz+B2EW5DmYJjz2OAcSeaz1n+S+wdvc3pVcHoNZlmbRntElnwQ34s5u5Fy5TGYzu7y4rMf48HBHiv9gsVM8HDviFK1kKxw684NSt2l7a8jWBCEhxQGFqmmF8LBouKJ7WeQzaeZ7N+j0Y7ZGcJKFFGVj9MSLumyy9L5Vd7Z/TJ5XlBWFULv0GknzPOStLAsixTHaSHsDOneo+Fp0niFZvQS2ptxenUVx3O4NfwSlIpRNmV9RSKyiL/ywt9/X/fqzYdHvwjUA9HJowJjLVlex6mFgKKqcF2PwPNQ0pCnGUVZ0mk1iAIP94Tc6bkuUlpqh3d14q1S9XVOaZSjcV23PiQCbGlwHYXrq/rwhToOrZSqRb4nBzAWS1XV13iDoTKCJKtIkxRHB5R5AbIgjFwW8xTP95hO5xRGIKRkMp3jOh4Yw6uvv8Lh3i2KZM744IDjwwPKwiAoaHcihHRoNHx6fYdkXvL5L3+D5567zNHeHqdOddh7NGF1vUuaJcznc0or6Q36GFmijeKrr97i+Q+cJ53PESJgf2ePdm+FlUGXLFtS5Cnv3rjP24+m3J9mPLp7i9Nnz3J8nHOwe4/21jkGgw63332L2VHC6YunWUwPGR6P2RtVuEKwd3+HC49f4a2rrzOaLjk1aHHzneuknuXi2RXuXrtDwzVksSCpMuJ4ymIx52/+7X/wF7pX/y1YUfx+fb/A5Ibc5JSTOUKu4KsKKwTScdDKx/Et2g+xRY6gjglJ6SB9SZkm7O8tQAm6PYkfaLQURIHz/7V3JjGWZXde/s45d3xjvBfvxZwRmRlZWZk1ONPtsl1Q3S53VUPZjWiaaQGmhUwvWLBAQkggoFGxQEIIIRbsmoVbsMCm1apugWRjPLTaZbsG15CVlVk5Z8Y8vfm9O99zWNwoL7FbtagqdL/V28QiXpy49/zP+Q1MZgHz822SMGGWxHzx0jLfe+0eB4Mp0yjni5dXyKKAn93YZalTwXZd5hs1wklIre0Th4KKK/FdTV0aDveHrK7WyKXF8ShnseHREyn1ms9oOOPgcMIkNKx0mlQmMVppBkFOvWZRySxaC1U81yI0HsvnLpKlA44nOd15l3A0ZDI7ITEWs0Cz6gQMDsZ41TmkVSPJLPxawHAwQbe7LGQx2nbprJ1lbZJRnXeLfp1RD8uucrYD270pBCfc+mDM0uKQxuNP41iSOPZJsoSdYYbOM7ppAqrwJBqdEIQGmY/54lMr/Nm7u9iWZPfhHu1um0Q7NHyfOJrx+it/xPzf+x0azp9jqPoUk+vCLyWEQIjTdChpozWMA+gfH5FEMxaX1xBS0llaAQwVxyNJE6QjEQaU5RAnReFsHGdYSiAl6Bxc2yJKUmwpsf0ikEIqSXZaFmypBrnOqdfqGBRRHCEAYQRYkjTLyfOYLEtIkhiBQWc5URQz35knwcNyHFzLQiibTAcESSF9cx2LLElIkwxpwFVWUb1xGltsCUkSx4WBXECaJuSmkNqlWdElYzTYtgIESTpj/2AHz3No1Ns4zir+aamvMZoizD1HZ8VnqazCT5sXHYY6j3AsByEFSFlskE79XLE2ZFlRhSEAz3FpN9v89kt/g1xrUm2YTHq8eu01fvTOmwzjACMFrWqTjcU1Lp+7wOWzm9R9n0rFRRiBcF3IMlz30/9qrbT/O//2v/whlx+z+NxVh/ffV9zdukkQv08SG5LgIg/2BJly2D5Mkcrwuc110v5jrNY/y4+2/xuWUUxDm1vXNzHmiMXaP2Ma7FN1Mu6F36IxO6DqzuM4Gr+yhJff5F+8dIPecJvXX/0D2puXecLKuLX3r+k6LyHiC8yCuwRRQqvxkL/wawnv3a7jjQ12RRMFQ3Ix48zC84zzH1NLbZarf5Nbo9/jrXckaaS4uLBKPh7gNTKGwTdRxnB4CF4l5fb2Mbk54mLnImnyXTaagnbTYRwLkvyYGzckvv8GT154nvH4J+joKtX6e9RMHSEEe4MqzYqmWpnRtDsMjt7j6mXFg57P0SDgYqPH6rxB6JR8ZkO4yOZKzIOdd/nKMxf4w50jvuz/Sy6su+DN2B/tsNhpMQ13+NlNm5PZIt3miIo8oV59CpIqbvaIg94Rq4vzLHsvcqi+S5AKZocX0HWbcfoaS3Nz/OThm7QdRcXp0lJ1DvQYK4HYPvq4l9pH5sNACtsuDpiyLCPPU4zWCKVQSKIoolpvkpicVrOCrFTQxiCNRmlDZj4MsMjI0wTHcREosjxDKRslFBiJ1vHPD5I8x8WyFEkaYbLTAyZVyN+iJEcIG62Lk6niVt8iTgtrwGluBlJIRqMxCwt1lNKEswjHKaLaHa/CaDoh15osM+SWwXM9PnPlCzz6IGJreEgch7huDU6liIPBkDgwzHWqSFpY7owvP3+V73z7B2yunWcyDVi/sEIQTnCrPjevb3HpyjlcNwedc/36Fuc21xn3Eoyp0Ggp1laf4s6DAybTIYoi6KhVT6h7NaSIsZtX8WxJFI6pOh7RbMjtfs6ly49RbQ/ZerTP00+eZTq5jh1qmu0al586z40b9zGWzfzSAtK1eebzV5iGAd/9yTajQczznz2LzhJ++u6IsxuL2LbzcS+1X8in/8lfUgK0VrpMh1PyPIEM8Cq4gtNIVUEcp+RxiOt4GKNJZkMct4LyqmgTo6OAcZCgbA/bccmiMUoZpMmR0lB1FEejlH5i8czlVd57eMydvR4nowkbTZeKKxj1p2RmQh5FdJcWyDNDFk2YWUUr+zgIGE5yao7BRrLY9ElyzdPrDZIMdg+G7A8imvMd/FGEkpr945ggmDByLOaaTSqu4qCfcHJ8n7mlVapuk3S2xyRx6FYzahWLg96MTt2ns9ih4jvs9RIOD8doEnLjoCyPLAsJ5QK2FGTJiPPrC0z6A3b3jzl3pkWUhuz3E9rVGr1xgK8ixv2MaDrCqtYR0mA5NfxKlaPDHoe7h2ysZSR2C9/1sdqy6EEb7DEej3h3MGR2foXEWCwuKexWjTiWzEYn/K//8Sd84S/9BpuL/v8fsqn/B0qK0xsYSLKMg4MTZrMR9VqFTmeB5ZUV8jSmEOaBU6ugdSH9ULYizTRplmHnsoje1RoBxZBBUSwZpym2rbBOi32NLqSExZschLKxpMJkKagiMbQIdtBkmUY6Nga/kM8lCVmWoBwXneWnN2keEgjTDJmk6CwmTyPSXCMRKMctEvo8l2maIrXEUhJDdirDKwIejJJYsuiyyrIY1/WBws91ctJDKUFnoUuj2cXoHKkskJI8+TB4wkYqidEZUgg0xcCppURkBmVAKg9jJJYtybUGaREnERpB1ffQmT6V41hoDJZVI0lTpJRYgNte4je+tMhXX/wqSZLQG57w7Z/8gPce3OHW4X2+9bpGyeIUWqaSqltjs3uGSxsbnNv4ax/nUvvITBOPv/zrj6Gmz7Nz8vtsXFhnd7CH69eQ0YBaq0sQX2OuEjIcCRo1Cfky7w3/FLFn4xpNp5vSZR2lXmfNuoIf7xOrH7If3ODXn/o8n2mFfP/WHvOtVYbJAY5Y5o2bvw/xOoPpmIPjb6CcGdiauw//D2fnfpsPDvZpNVbI45v0Boqz50OuLv1T/vjaf2Kc2SyqGUGwz3AMz26eIwr6fO7Kk5xM7qOTc/zZ9Qk3docsNQRLXY00hew6TCV/9QXFa29kvDe6TSYhnAl232oS6CHNpqA3ha8/9zuMtje5P/geSX6DuNdjvf1HROFXadbGNP27NPPfRKR3mBfLpAdr7MjbPL62jBCHaG2TGkMUrzPfOM/+yffwnZw3b3+DVBvuTXZZm2swGv6YkXiHfPB3SZ1v4vuaZ890ePVGwpWlJ7G1y16/j5I1XM/l7MJV+uNjfPdX8dOHbCUnZLM+qewRBvNc6F7ipP8+YbBErb2BFju8dd+l0w4/7qX2kYmiiEajQRiGKClpzc0hRY7nFjJlJSBKI9Isx7IcoijCkgrbdSQiBFEAAAvUSURBVLGlKiR6p/5IpMC2XbKsuHW2bUme52SpRikH3/fQOkIpBTojT1OkFhgjyIu5pEgRdOzieYsokgZthY4ltuWSpjmCInVQKUGr5YOIyHOFMQ5JNMNy3dMEQw+pNZaC4WjCymqXw4f7WHbOeDQmiSOUV2GuUaFeqbC9s83wJGVxuc5xf4uKqvLKKz9ESgedTbn29pDLnznD4eEJ9VqL9vIcuZa8/849ut11lBPw6MENarUalWaVB7eOqTb6HByN6Tx+hvv391laaTDqu8y3MyQ2B8ND3rk55PJClaefeoo3b/6MvZ0RVy7/RR5uH1FzPW5cu8tcc44kGvDo4SFKhoh8TKfTRuURO3vHjPojrDxmo9Hg2nbOK9+/yT/5hy9xf6dHksTMz7c/3oX2S1DK/0o+5BN9pfqLePe177/seRYaUfTHUJjaLanJpwNmoylBGGPSDK0zSBKyeHx6tF+l4ln4liFKMvIkJstSRKZxXIc8TZmmkqPBgMk0YbXbZKFVZTCYMgxSVpbnefToiO3hlMEsolVzkEZTq9c52t4jDDOqns9sNMKWxeav2qgx16yhJNgVnwSJ7XjMVx1Oen1cCY2KzSQyrHUb1CseWhsGsxlx5mLLnMngGB2NGQcpjjIMJgnH/ZC93phhLPBtQTQNOe6NGE5j/FqTWs0mHPcYD2c0W3VSDb3emEdbD+gNQi49fgZ0iu14NJpzKNdmaU6w04+JU/CrLoMwQ5mYJBpTqTWp1isstxv0RjOqvmSagFIOSIssTrAwTKOE3vEYSOmNQibjCe3WHLkQkEYkM8GFi6u/3G3Vp1j+N5mGLz/c2iUMAxp1n/nWHN3OPPV6szBDK1nI2iyFsh0cJdFGY1lWYZTG4No2tm2Ra41tOSR5ikFiS4EUoogJ1oWWP891od/XAsuSmCwiTdIiXtxxQEAcBNiOg84NtmMXA5guIoURhfREIApvk21RqBZFYbBWCuU4OLaHsD0sx8W2bKRSxElCHEUEwZhgNiSYjInHY4bTAY1KFZ3lSAmDQZ9arcF0NiPPUzzPp9po4LkVwCaMI/IcHNdHSkmSxEX5sCp+T6Gcombj1IuAMUXvjF1saly/SCEUQpIZg6T4nqU4jT8/lR9qo8nSHEdJXEtiKYvCL27w7ELq53tVnnniCl959st87vEnGJ30SMOUzGi0DaHJOIp63Ny/x9de+Cuf2nUK8B9e+YOXL5/dpMYRP3z7GuurFsHkaVYXjnhi7XfJBlUOR2+z0FEYpWjpLp7/iFl+zObSlF54GSe4wN3tWxiT8uajHpcu7hOGLnl2hKscxtNtfvDWiMbSDnv7A4QzYmewxYA3OXfxt7iz9S129ydUahBGFgv1v4PQHtGsT6c7Iw++yFee/Ed8561/RXduiaVqF7d+EaU8ZtNtXr3+DtK9R6f5HMGkTZy1+JUnptwfjLjQfZZZeMAgzljpCJ7euMgHP3uB2SDmcCqwKl3mnIs8fvYia80Kw6MMr5lx7cYIr/I+w/EBfkWx3HmOJDU8d/br/O6X/j3n536L77/zn5nl79N/a56NhSdxa5uMQhgn9/C9nOMTyZkLA6aTRxCs02nFCDukWfE5v7ZJf/ZjVhYSPPc8e4fX2O31WOsItISqeIKqO8KIlM3lK1xY+BLdzio/ffsalfobYFpY/iKZhMWlRzStOexsjkBLJskum43fxPPXWF+4jJ9N2OnFfP3Ln2xJ1S8ijOXLFc+l6rnUqx6uBdJodJai8+xUnqyLm3Cji4oIpTA6L7qtpCy8pVpgqULirnVGlmfkmcbzXDzXKeSAQuM5EksUz8Ao0Vi2Kp6TQoJQaHPaP3WaHq2URGc5UKT9WbLowXIthesVPtc8FWCKpL8gjMnQ+F6NSRQQpynDQR/bsdnd3cXkKZvr8zy49wF7O9ukWY7rewx7xziWoncyYv38OUSe0V5s89M3bvDiC8+ytLiAdAznz23QPzxhcDLhscubRLMZ4XTCuH/M8tIiSjmMpxP6ByM2NtbZ3b2PLSyMyQiikFkwZWtrwNqZOWzXIUpS9u7tc/Zsi62de8zV5xmNY7YebZFIl+loxKXHlznp92k2K/ieKPy2nkcSz7h96wAjM0aTnPWzy/i2ot2sMz+vuPVgyheeOc/tWwPOLC3w0t/++5/otVoOVSUf8oleqL+IH//vb75suzZ5npNEIUmYkkYxYWqwPEkWpiQ56CTBYPBaDeq1OtgWJjdIJXBsiyQKEULjeTZBnBIkIdMIjHIwRlPzXJbbFuiU9ZV53r65y1LX42xnjsFkhpaS4STGsSW1is/6oo3JNLd2Z6wt+sxSgeVYtJs1KpXCpLrX01SrVaqOR2uxSqviYVseru+Q4tBPHbx6nflWAxENCScxiQBbahxb0p8pOvMtbJEynMyKjpw0QacJOpkwCjJm4ym9kyHTyZg72z1sR+FYAp1NCVODrxyiOGCcgGW7zFUdjk4SkmBAMImoN7t0Ow2yIMTJUrBcsnhIklmkYUxtfo5KrUkQakbDIfPtBlLntBfPYIuUNIp4bKMN0iWMUixLUq1X8Vyfqm2TpQGPXXka65e5qPoUD1VSiJfbrRaNeuPn4Q7GmJ+/7C0lyLVGCImlBI4qbqQQhiTThWnaGJI0x3d9kjTBdTwcVWwYbEti8hxtskIKB0UinlfIBy3Lw/b8YgOBQQkL1/PQOkcIgck1UkKWpadDhwJZyBWV5RR9WDoHIxCy8BEZU8jolCoKty1bIYzAcRyUUrieR7VWx/drVOdaVCt1DAa/2kAg2Xpwh8HJLs1Gg/HwmHH/hPFoiG27KNvGcd2itNOSpEmMrazCmyAUAMKkp9JGCyQYLFzPxrKK4anYGBniPMN13NNIdInr2CA0UPgvpBQoZRU/ozVpnuLZDralTo3uBkcVAyZSUK/V+ewTV3jhmef4yrNfwsk1t3ceYoxBIfjai5/uoerVh//mZc1NHhzcwwjBWvcKnncdk9iMoz0uLl/Gte9TtyZ4GFK9zMHhkOkkpzq3SKNxh9vbQyqqRSxyxkHC1UsGWx4zy+pocch4eIH2XItBP6AzF6KyL7G0KhGqznbvv3JvC+ZaOccnVZ7ZeIHr298jsF8jyA/xrYyXrv5H/vTu1+lPUvYPx2xvDXhy8WtMeu/gdCRzHRBWjWTwJNd2/ieD8IDV1gFPn3kJIcHzt2DWoNev89b1HdYWf5XU7/LMlV9jAYunriwz1d9he2eXi4+72KrKyoom5gGtNiwtfJ4wGjNN73ESf5cPZt/gR3f+HbPkCHGnzdC/SHPtRfbMn3D74E0WmnMcTMCyBP1jhbES/MVF9raOGPZaXFgU5PI1gviAW9s1hlOP48m7jIaCVC1RN5tU7V/h/vEdHuu0ef29R3x246+zN3iIzrbIdB23ckTTeYLe4BH1yjYye5pu/So16yaZPCJMRtgmQcvb7B9tUZ8f8Lee+b1P9Vp9dNB7WSmJUqKocFD2z31NUkoyNMKAIxVKKXKjT4u8wZzWWRiji2eektjKwvcUjitxHRAiQaqk+N+2DBY2SZqiTUar4pEZTZJmuG6R3ud7flEhYeUYcpQs/ua2bWFJit4qUUS4S5VjtIXOJVGUF4mwAFLgOj5HvRNq9TonR8dFQbztkWQBr7/6bdaXurz9+k9ZW1nBdixa9RqWUgRBhOUofMumUvWQ0mM4PGA6DKhUahwe7xJGUy4/dYlwFhHNAozRtDvz5HnCcDykWvEAwaB/wvr6GnfvPqDZbGJEhOdUiZMRK0td7t55RLXiUKtUODna4/y5TW68v8PiYhWRO+z2RqzOe+zvHLG43CRLs9Pwj5wojqg36sSZQDiGivIJxiNqFYvR5AQrTEEP2dmZsLjQ5Nat2/yDf/zPP9FrVZgPc59LSkpKSkpKSkpKSkpK/tyUkeolJSUlJSUlJSUlJSUfgXKoKikpKSkpKSkpKSkp+QiUQ1VJSUlJSUlJSUlJSclHoByqSkpKSkpKSkpKSkpKPgLlUFVSUlJSUlJSUlJSUvIRKIeqkpKSkpKSkpKSkpKSj8D/BVaef6LvPG69AAAAAElFTkSuQmCC\\n\",\"text/plain\":[\"<Figure size 864x432 with 5 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"jNWhSLgkv_ny\"},\"source\":[\"# Saliency Maps\\n\",\"Using this pretrained model, we will compute class saliency maps as described in Section 3.1 of [2].\\n\",\"\\n\",\"A **saliency map** tells us the degree to which each pixel in the image affects the classification score for that image. To compute it, we compute the gradient of the unnormalized score corresponding to the correct class (which is a scalar) with respect to the pixels of the image. If the image has shape `(3, H, W)` then this gradient will also have shape `(3, H, W)`; for each pixel in the image, this gradient tells us the amount by which the classification score will change if the pixel changes by a small amount. To compute the saliency map, we take the absolute value of this gradient, then take the maximum value over the 3 input channels; the final saliency map thus has shape `(H, W)` and all entries are nonnegative.\\n\",\"\\n\",\"[2] Karen Simonyan, Andrea Vedaldi, and Andrew Zisserman. \\\"Deep Inside Convolutional Networks: Visualising\\n\",\"Image Classification Models and Saliency Maps\\\", ICLR Workshop 2014.\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"tags\":[\"pdf-ignore\"],\"id\":\"hnzjshIEv_nz\"},\"source\":[\"### Hint: PyTorch `gather` method\\n\",\"Recall in Assignment 1 you needed to select one element from each row of a matrix; if `s` is an numpy array of shape `(N, C)` and `y` is a numpy array of shape `(N,`) containing integers `0 <= y[i] < C`, then `s[np.arange(N), y]` is a numpy array of shape `(N,)` which selects one element from each element in `s` using the indices in `y`.\\n\",\"\\n\",\"In PyTorch you can perform the same operation using the `gather()` method. If `s` is a PyTorch Tensor of shape `(N, C)` and `y` is a PyTorch Tensor of shape `(N,)` containing longs in the range `0 <= y[i] < C`, then\\n\",\"\\n\",\"`s.gather(1, y.view(-1, 1)).squeeze()`\\n\",\"\\n\",\"will be a PyTorch Tensor of shape `(N,)` containing one entry from each row of `s`, selected according to the indices in `y`.\\n\",\"\\n\",\"run the following cell to see an example.\\n\",\"\\n\",\"You can also read the documentation for [the gather method](http://pytorch.org/docs/torch.html#torch.gather)\\n\",\"and [the squeeze method](http://pytorch.org/docs/torch.html#torch.squeeze).\"]},{\"cell_type\":\"code\",\"metadata\":{\"tags\":[\"pdf-ignore\"],\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"id\":\"WMUlo0S5v_n0\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1614286334914,\"user_tz\":-60,\"elapsed\":4848,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"8f294b04-9af0-4b7b-efd5-7427b6cafac4\"},\"source\":[\"# Example of using gather to select one entry from each row in PyTorch\\n\",\"def gather_example():\\n\",\"    N, C = 4, 5\\n\",\"    s = torch.randn(N, C)\\n\",\"    y = torch.LongTensor([1, 2, 1, 3])\\n\",\"    print(s)\\n\",\"    print(y)\\n\",\"    print(s.gather(1, y.view(-1, 1)).squeeze())\\n\",\"gather_example()\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"tensor([[ 1.0060,  1.0712, -0.1083, -0.9139, -0.7552],\\n\",\"        [-0.4137, -1.6577, -0.3983, -0.9492, -1.0146],\\n\",\"        [ 0.6213, -0.6165, -1.8110, -0.2446, -0.2434],\\n\",\"        [-0.2296,  0.1029, -2.1970,  2.1322, -0.4397]])\\n\",\"tensor([1, 2, 1, 3])\\n\",\"tensor([ 1.0712, -0.3983, -0.6165,  2.1322])\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"69APyyvkv_n0\"},\"source\":[\"Implement ```compute_saliency_maps``` function inside ```cs231n/net_visualization_pytorch.py```\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"KTWos4aJv_n0\"},\"source\":[\"# Load saliency maps computation function\\n\",\"from cs231n.net_visualization_pytorch import compute_saliency_maps\"],\"execution_count\":null,\"outputs\":[]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"FwlV_PKev_n1\"},\"source\":[\"Once you have completed the implementation above, run the following to visualize some class saliency maps on our example images from the ImageNet validation set:\"]},{\"cell_type\":\"code\",\"metadata\":{\"colab\":{\"base_uri\":\"https://localhost:8080/\",\"height\":311},\"id\":\"Rn08v3k_v_n1\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1614286341484,\"user_tz\":-60,\"elapsed\":2269,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"db441a70-9d11-4a72-98df-2693c3d9598b\"},\"source\":[\"def show_saliency_maps(X, y):\\n\",\"    # Convert X and y from numpy arrays to Torch Tensors\\n\",\"    X_tensor = torch.cat([preprocess(Image.fromarray(x)) for x in X], dim=0)\\n\",\"    y_tensor = torch.LongTensor(y)\\n\",\"\\n\",\"    # Compute saliency maps for images in X\\n\",\"    saliency = compute_saliency_maps(X_tensor, y_tensor, model)\\n\",\"\\n\",\"    # Convert the saliency map from Torch Tensor to numpy array and show images\\n\",\"    # and saliency maps together.\\n\",\"    saliency = saliency.numpy()\\n\",\"    N = X.shape[0]\\n\",\"    for i in range(N):\\n\",\"        plt.subplot(2, N, i + 1)\\n\",\"        plt.imshow(X[i])\\n\",\"        plt.axis('off')\\n\",\"        plt.title(class_names[y[i]])\\n\",\"        plt.subplot(2, N, N + i + 1)\\n\",\"        plt.imshow(saliency[i], cmap=plt.cm.hot)\\n\",\"        plt.axis('off')\\n\",\"        plt.gcf().set_size_inches(12, 5)\\n\",\"    plt.show()\\n\",\"\\n\",\"show_saliency_maps(X, y)\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"iVBORw0KGgoAAAANSUhEUgAAAtEAAAEmCAYAAACktsw7AAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+WH4yJAAAgAElEQVR4nOy9ebxmR1Xv/V1Ve+9nPHPPSaczEwgkDEIQQVAcAPGK+l4nRODyquhF8SN+vL7CK8hH7r3idQARRL3MiQaCEuD6IjIlERJCAmSeO+n0dE73mZ9571213j+qntMnTXenE3JICM+vP/05z7B37dq7VlX91m+tqkdUlRFGGGGEEUYYYYQRRhjh5GEe7QqMMMIII4wwwggjjDDCdxtGJHqEEUYYYYQRRhhhhBEeIkYkeoQRRhhhhBFGGGGEER4iRiR6hBFGGGGEEUYYYYQRHiJGJHqEEUYYYYQRRhhhhBEeIkYkeoQRRhhhhBFGGGGEER4iHtckWkTuE5EfebTrMcL3BkTkNBFpi4iN778kIv/3o12vxzNE5BYReUF8/RYR+cijXKXHFETk5SLy2XXvf0BE7op2+jIR2SoiV4pIS0T+/NGs63crRORVIvIfj3Y9Hgzr+8q3Wc5jfl59LNXxkZ4HROQPReQfHqnyRvj28Lgm0SOM8J2Eqt6vqk1VdY92XR4viGRv+N+LSG/d+5er6vmq+qVH4Drf9QRcRE4XERWRZPiZql6sqj+27rC3Au+KdvoJ4NeAeWBcVd/wHa7ydwSRUA3tZklE/o+I7Hy063U8bJTz/Uj1lREeXajqf1fVR8Q+4nhx9lGffdePhUOIyAtEZN9GXmNEokcYYYTHLCLZa6pqE7gf+Ml1n138aNfvuxC7gFuOen+rPv5/desnow1tB+aAv344hax3UB4JDKNWG1nmt1vnb+f8R/p5PdawAfbwmH5ej8X6Pdp1+l4g0U8VkRtFZEVELhWRqohMicinReRwVCY+LSKnAojIfxaR69cXICK/KyKXPzrVH2EjICJPE5GvxzD2pSLyTyLyJ8cKza731kXkJ0TkGyKyKiJ7ReQt6477FiVwhI3FMcK21dierdi+F647doeIfDz2+3tF5Lfj5y8C/hD4+ahW3hA/f7WI3BbL2i0iv76urBeIyD4ReYOIHBKRgyLy6hPU80vRvr4Sr/EpEZkRkYujLX1NRE5fd/w7on2tisj1IvK8dd89S0Sui9/NichfxK+ujH+X4zW+f709i8g9wJnAp+L3/wi8Evj9+P4xEf7eSKhqH7gMeNLwMxGZEJEPRbvYIyJvEhETv3uViHxZRP5SRBaAt8R2+2R8/tcCZ62/hoicJyL/LiKLInKHiPzcuu8+ICLvEZF/FZEO8ENHnfs24HnAu2KbvOvhlBn7xX8TkRuBjogk6/uKiBgR+QMRuUdEFkTkoyIyHb8bjmOvEZH7gS8c41E+U0RulTB/vl9EqvHcYb/4byIyC7xfRCoi8lciciD+/ysRqcTjrxCRn42vfyBe9yfi+xeKyDfXtcN/iMj/ite8V0Re/CDNfcw6xvJeKiLfFJHl2CcvWPfd8Lm04vk/ve67b7GHB6nDEGeJyLXRZi4/0bOWY6inR7XdmlK87vxXisj9IjIvIm88yTo9KI7TnpskcKblaI9XresvD1C2o23+SXx93POOcd0TjX9vEZHLROQjIrIKvEpEpmMbH4jt/QkRaQD/H7BDjkQvdzyIPZ50HYf4XiDRPwe8CDgDuAB4FeG+309QYU4DesC74vGfBM4QkSeuK+MVwIe+Q/UdYYMhIhnwCeDDwDTwMeBnT/L0DvArwCTwE8BviMjLNqKeIzws/BShPaeBS4BPiEgaB8JPATcApwAvBH5HRH5cVT8D/Hfg0qhwD4n3IeClwDjwauAvReTp6661DZiI5b0G+BsRmTpB3X6BMJacQiBeVxPGoWngNuDN6479GvDUdffxsXUk4B3AO1R1PJbz0fj5D8a/k/E+rl5/cVU9iweq+b8IXAy8Pb7/3Anq/riAiNSBnweuWffxXxPa8Uzg+YT+vd4hugjYDWwF3gb8DdAnqNr/Jf4flt8A/p3QZlsIbf5uEXnSuvJ+KZYzBjzAYVfVNwJXAa+LbfK6b6PMXySMUZOqWh71KH4LeFm83x3AUryv9Xg+8ETgx/lWvDx+fhZwLvCmdd9tI9jtLkK60BuBZxPs+ULgWeuOvwJ4wbrr7eaIHT8/fj/ERcAdwCbg7cD/FhE5Rt1OWEcReRrwPuDXgRngvcAnh0QKuIfgyEwAfwx8RES2H1WP9fZwMvgVgp1sB0rgnUd9f6JnfTJ4LvAEwrj2R0fxl28XR7fnG4B9wGbCM/hD4GQiWQ/lvBONfxDG+csI8/DFhLm8DpxP6CN/qaod4MXAgXXRywOc2B4f8r19L5Dod6rqAVVdJEyiT1XVBVX9uKp2VbVF6AjPB1DVAXAp8MsAInI+cDrw6Uel9iNsBJ4NpMBfqWqhqpcROu2DQlW/pKo3qapX1RuBfyTazgiPCVyvqpepagH8BVAltPczgc2q+lZVzVV1N/D3BEJyTKjq/1HVezTgCuCzhMl1iAJ4a7ShfwXahInseHh/LG+FoJDco6qfiwTnY8DT1l37I3GcKlX1z4HKurIL4GwR2aSqbVW95ugLjfAt+ISILAMrwI8CfwZrqQ+/APw/qtpS1fuAPyc4O0McUNW/ju2UExzuP1LVjqreDHxw3bEvBe5T1ffHtvsG8HHgP6875nJV/XIcQ/onUfeHW+Y7VXWvqvaOUeZrgTeq6r44570F+L/kgVG0t8R7PNb574plLxLmz19c950H3qyqg3juywn95JCqHiYQ0+HzvYIj4+cPAv9j3fujSfQeVf37uObkgwRCuvUYdXuwOv4a8F5V/aqqOlX9IDAgjBOo6sciZ/CqeilwF4FoDbFmD8d5NsfCh1X15kjs/l/g5+SBaTcnetYngz9W1Z6q3kAQCi58sBMeAo5uz4Lw7HfFse+qk0wHO+nzHmT8A7haVT+hqp5ApF8MvFZVl2LZVxyr3IgT2eNDvrfvBRI9u+51F2iKSF1E3ishdLdKCINOrjPqDwK/FL3cVwAfjQPNCI8P7AD2H9U59pzMiSJykYh8UULod4UwGW3aiEqO8LCwd/giDrD7CO29ixDWWx7+J6gMx52EReTFInJNDOstAy/hgW29oA9U+LpA8wR1m1v3uneM92vnisjvSUglWYnXnlh37dcQlLXbJaSBvPQE1xwh4GWqOklwql4HXCEi2wjPNOWB/X8PIVowxN51rzcDyVGfrT93F3DRUXb2coKad6zyTgYPt8wTXWcX8C/ryrsNcDywP5zo/KPvf8e694ePcg528K3Pd3j81cC5IrKVoAx+CNgpIpsIxPXKdeetzeWq2o0vT9TfjlfHXcAbjnqeO4ffi8ivyJFUj2XgyTyw3z/U9jtWXdJHoMz1+Baec5LnuViX9UgJZHKIo9vzz4C7gc9KSHP7g5O81kmf9yDjHzzwee0EFlV16STrcSJ7fMj39r1Aoo+FNxC8mos0hESH4SMBiMpOTlCdfokQKhjh8YODwClHhQJPi387hLAQAHGiXY9LCCk/O1V1Avhbot2M8JjA2q4LMYXjVOAAYdC9V1Un1/0fU9WXxMMfoDbE0O7Hgf8FbI0E7F/5DrR1zP/7fUIq2lS89gpHxqe7NKRibAH+FLgshvwf74sDv21E5fGfCeThuYSdSQoCsRriNGD/+tPWvT5MCMfvPOr4IfYCVxxlZ01V/Y3jlHfMah71/uGWeaLr7AVefFSZVVU93n0fjaPv/8AJzjvAtz7fA7BGhq8HXg/crKo58BXgdwmRmvkT1OHBcLw67gXedtS911X1H0VkFyFC9TpgJva9m3lgv384/ezouhQE2ztWmUfPQZbgvG0E7idE2tfjDB5IMh9wvxoiNm9Q1TOB/wT8roi8MH7dZV3dWefoPch5a3iw8e8YddoLTIvI5DHu71htdSJ7PKk6rsf3KokeIyg/yxIS/N98jGM+RMiTLlT1Mb8H6AgPCVcTJsLfjvmyP8ORcN0NwPki8tSYg/WWo84dI3i9fRF5FsHJGuGxg2eIyM/EsPTvEMK01wDXAi0JC2RqImJF5Mki8sx43hxw+rpFJBkhhHgYKCUsYvoxvjMYI9jnYSARkT8i5GUDICK/LCKbo9K+HD/28XhPyO0d4RiQgJ8CpoDbYmrAR4G3ichYJFG/Cxxzi694/D8TFhjWY17yK9cd8mmCsvqKOLakIvLMh5ijOscD2/CRKPNo/C3hnncBiMjm+FxOFv9VRE6N8+cbCSmQx8M/Am+K19gE/BEPfL5XEKMD8f2Xjnr/cHG8Ov498NoYVRQRaUhYMD4GDJ3RwxAWFxOU6ONCjizuO/0Eh/2yiDxJQk7+W4HL9Phbod5JWCD9EyKSEvJ1K8c59oSQsDDwRKT/UkLbnCphsemPAD9JyDc+XpkvFZGzowi1QnBIffz6m4QovpWwYPv5J3neepxw/DsaqnqQkB73bgmbRqQiMhRG54AZEZlYd8px7fEh1HEN36sk+q+AGsETvAb4zDGO+TCh8zwu9ksc4Qii2vEzhEWmi4SFRv8cv7uTMMh9jpALd7QD9ZvAW0WkReh8H2WExxIuJ7TnEiEV62dibpsj5JY+FbiX0Pf/gRAmhJCTDLAgIl/XsFbitwntu0Rwlj75HbqHfyOMSXcSFKE+Dwxfvgi4RUTahEWGvxDzIbuE3M8vx1D0s79D9f1uwKfi81olPKNXqupwq7/fIqh/uwn9/RLCwrPj4XWEcPks8AHC4lAgKFkEZ+sXCOrWLCFa8FBI0DsI+clLIvLOR6jMY13jk4SwdYswD170EM6/hLBGYDdhId6fnODYPwGuA24EbgK+ftTxVxCI05XHef9wccw6qup1wK8SRLIlQvj+VfG7Wwk58VcTCNhTgC8/yHV2Evrp/hMc82GCrcwSUop++3gHalgz8ZuE8Wk/wTYf7l7HOwnK/vHw1vj9fxCexduBl2vI9T8eziHMj23Cc3q3qn4xfvd6Agkfphx94iTPW48HG/+OhVcQ1P3bCQvCfwdAVW8nkObdcUzcwYnt8WTruAY5uXzw7z2ISI3QGE9X1bse7fqMsLEQkQ8A+1T1TQ927AgjjDDCCCMAiMibCHnD732063I0JPyy4cdU9d8e7bo8XjHaz/b4+A3gayMCPcIII4wwwggjHAuqeiIV/lGFPkK/bDjC8TEi0ceAiNxHSGIf7f87wggjjDDCCCOMMMK3YJTOMcIII4wwwggjjDDCCA8R36sLC0cYYYQRRhhhhBFGGOFhY0SiRxhhhBFGGGGEEUYY4SHihDnRP/nGLykYLGHjRBVBDRgFxGAU1AgC8b+gSDzAELbXMyCCEUEBG79SwnmYIzw+lBt3x47niAiqihjwCkYMXhSrErfeFkRA8ZhhWRr+hp/S8KgxiFdkbd9tBREEQ7ikonErRWMkVjvs6y0aXhsI96ChooIJ9xzrgBHEhzLEWhTFoOGfhHrjQUWxCiKCG97C8DqEzz0gqki8/1IhEVA/PEZRBRXwAkZDXQyCj09WQ0sgCBIf7F++5oyN+6EIPfQdyQsattcRhHsdfikCaxlK8fmqChCemRgBPHjW7EZxSPQnFY+IgHeoeIQcxRO2rXTxnBLBxQbxqJaI2LX3XnywDgWkDPURXdv2XShQUoQcxMfjFMWi6kI7io/mPSxXQBPECKoW1MYyDSIe1AYbVhhaApKE+4l9RUni62FHi/0LCLsDCUqOqsfaH9kQW1nuDdRaJS8FY0G8YIwPG3GqkEiw3FwLyrwkrRQUpZAloCjOGfAWY8M9WANFISQS7z/JcWWJesF7g7GKMR6L8sGrPs2t++7FqPKFj3+WmVqNN73+D/n+Zz0TY4R9X7iKJ73op0A9snwILXNU4ZOf/SI/9UMvgO3hNzVEhFa3Q3t5gW3bT4s2pyDwuSuv4Id+4DmY+OvJwzHp4Pw8Pu+zfdsOrLXR1pTeIOf2G77Chc94HsZYhr//o6p05r6JoHR7PaZ2Pg3KPrguv/5Lr+LFr/mvPO30bfzpO9/Ne977Aeb23cn8ocO8653v4n/8z7fxvne+m3pSsm/PPZz7tO/n7973PlZXWqHdPYiBf7/uOj714ffzjn/4EGdfcAGve+1ruHH3Hn7jl1/NwsH7+MRl/8RTzj+f3QeXeN4zn8INB5Z50bOfTb+9xCWXfIi9B+f4s7/6uw0bU37j9/6Ltmo9/uOjN1O0Pak6SrXUtzaxNYdrOTApyTRUJ7az9RlNVr65j/3XLIBCaiyplJRZjW2n1Tl4fwtjlcI5qtWt/PTrd3Dpn36TqWfnHLoq5TV//DsktLj2S5+mNrWXO2/ISPKtuNqAsfOVzi0damMVfNez2hFyKkyOdWgVCUiKLwech2W5A8WuU1m+9S5MI6F0Su5sGGEagnQNvpfjM09St+SlZWZniq8rE11htQE+L/CzjsneFN6AOIdPU8rSk7d7iFXqF1nUKmUHTq/lXH1Fn7z0TOwUGtM1aBSkpae1ZFi8p8Q4xYpBLZQDRbRg6+Y6Bw71qTYslQmhWCixFaFuJ1jodCmLHmc/dxMveZVww9Vn8dWP34S4glqW4OpVuq0OlbSPcw3qFaHXd1RmKtSzJkWnxaDrKLpdGttSbr7ypg2xld9665u13VkNP73nCzqdw9THZqjXp1laPICYOr3OIps3byPJKpSFoBRMTZyCGMfcwQNkVSjdKoNej2q1TiE1siShWduKSEZvcBgjgpGMfr9D6VZJk3EwnqnxU0hsnW1bdtFuL9HqLFBqn3arw2k7drF5ejv7Dt9Lr9+hLAyIZ6w+xRm7nkBqGxS+w8rqEotLh7h//w3smDmP6ekdVNIKq60VcpZxpQPJaDTGqCcZZ51+DmmaUqtV2DoxSZ7nHFxY5JZ77mZhYS9l4qiaMZ5w6tnsPPVUbJKSJSmlK6jV6ywvLXJwdo5qrcrM1DRptcLsgTkmJ5pkWUZvoPSKAQtLi6x2D3PH3dfQ6y/hvWW8fiqtziEa9U1s27KLNE3pdLpU0iq1NGNyfIKpySlqaUbhSsQYWt0OkqTMzc/Sz/sYn5AkGUk1wZclKytz3HbXNZR5n4vf+b7vqh8vOyGJFiMYNSgukE4RrGjkjIF6AGsEDhFUFKORCIrBiFmjPEYC2dRIEAFQxRgTyKMOiV+YqJD1dMkMeS2pWNT4QIpEETWI2ECExBMI0xGSbdShIiAmXjv8tYZIkCSSkcDAxAYaitpIQAO8RIdBTKDfkZwP6+mNkATahpHgdKCQIDgzpN0+zGOxLDQ8s/AMLV4cRs2aMxFqF+5HImlGBR/9hcQHn2FImy2CGHAaKLwVwoz5Xf6jekdy9z26FkBRQlt7RBRE8eqQ+EvMKgUaPQ9RH8mmIxBiDXaNBsIZLgLi1p71EccmOoMo6k2wCR+uHewNlDzalQuujPpI+P2aDYtE90YVlSIQYa1ET8wEG8Si4jCB8Q9vEYa2482RXqfDPlIipNEZ9KEfqAZbxoBkhF+nNiBp9CzCM/DDenoF58E5yIvwUxQbAeMpFBwOVxqyVCidR9WADHCSo95TuoQkiW2rFh9/l0A0xXtFkhJjwHtDknq8KlZynLNUEigcJAkY8XgPisHYBA+o8YiCiCX3fbx3OC+x/7vg3psgGEgZ/XxjYs8etmUcL9a84OCwmkiQh87/cKwzxuB9tJW18S8KBVnlSHlrUGxi8c6HMVQHuHwVP+iysLhMZ9Cn8AO8dyiwsHCI+2+/GRGPJBnz8/t487s/Qnv+fm6+/muc8+Sn8LLnPZVLLr2cRD33zh2i1+kw6C2j3VXuvvrLvO7qq1BjueQ9f8fl/3IJjUTxaR3vDtMYm2bQ2YepJKS+hgPEbuy69C986Ub6ZU6xWpA0Kgw60NxaxYqjdbCLEdj1k6dx/6fvYdOz+9zxsb2sznVJvAeTgFW8WOq1jJXlHlldoBgnISeb6PDJj9xBnitbqtOc8wcZg5VbaE5sY1WWOWWb4+xEeOkP/zbv+eO3Uu9dSH/7LL/2ildxyeWfolbeiWl1cDLF6sHDnPYkZer0Je786gSmUUF7c0jF0s8tfddmcmqC7moPWTIUVvDWk2iKK4VEDMt392itdplLDFuePkHpM+wmITmYgCkpRUAcIJQS+vvhO5UyTZjeUpL3UkySYxVcSym3KFNVobvkUK+c+eyUvdcM8AOlRBGF3CsLyzml8WRjCZ15xaul7kq2PSfn0Oc9WZIhrsMdV01ww7/fRtLISE2F3OWIKchq4+iyIikMBgNKLSlnu3RkiaKoMN2sYqa2UywXD9reDxe777mJ6ZmtVLIGi6sLJEmNRmOc+fk5llf306hPUh+bwgMLC4dJkowsbTIY9Ch9Dy85na5j56nPpFKfpNtbJDFQFh06rS6FW+S0U57M1s1ncO/e61hc3osxJbXqJqq1SZaXF9mxo8nS8mEajTHO2no+/X6f6ckZTjvtdIqB0h4M0HKB+mST3mCV/sBx5+6bEPHMTO6k2+2wsrJIs7GVASXzK/tRp6RJQl50Sc0UExNT7NxxKpSefj9ndnaOyYkpygE0m3WsTTh1xzbErzC/1GXLlk1s37oVay2uLFjt9eh02pTOseOUUzjj9NPpd3p0Wm26hw/TrDfoDHJuu+cuWp15ZudnwTiMCDu3PQObWBYXZ2mONdnKKWRplWplDFAajTGmJ6aopRXGm2NYEdR7qrbOoYV5Ot0unUGXTq9LXvSp12rMLRzAO6VWDcR9aWE/WfLtbH3+6OCEo6CN6pYRg8dGMhHIqEewJkz0Eid5j8dG5VlEMPhIEE0UdwPZFAkkUWSoXsfrGRNVxeF0FRRo8SYmnkhQYaO6JpHpBDUtqsBrRJp1k1LKkMqLiUTGDBXLOOkZCFNtVOgiMSWWbRFUgqo7VMoDPzVHSLDImg7sCaqgEROUaB84jzkqg0aQoOjL8N6jQxFJnBDVfgUvGm5NhDUfxEa1OdbJq2JUURGsRAWWNWF94xAb0UcFXIcKvfp4T8PnfcSBkvie9eqxRkVUHKIeNSWiPVCPSg/RAvWy5iyJGkQdSgnOghSoH4A6VAzgEONRMyRGJhJUh5CE66pFjY2qsV2LtAzvIRBfGwmTDyRITVCP18w1tHpQtDNUSkSToB5TxuOJhB9Eoz2pB9I1uw/kS4AkPDuJ8joeSAJJH6quaggWlx1h/GvN4VGn4Evw/VBWmaBleL6UOThFSgeugFzwFJCDKx12g0j0IA9uqzWhL5cliHFg2hCJdeksWVJQlpY0Fax1gMF7SGyOWqUobYwGhXonogzUYjCUXrHWIKLkZYgKBZ83AXxoUQGH0u13gvOuGsi5DgcmE8eSMN7gQ0RpaOcGKJ0DHY4HoQmSNRLNGlFGILUJTo7u+2GMMf6I+nxEiQaRFKQfxoNiQClVinyVLTu2M5FVGQzgvHOeQFk6xNShMcNYY4x79h7kwu97Drfcfhv1FHac8QTe8Hu/z8LhQzznZQ1+6dW/xvve8nqqqaXanOG0rZvwxYBWp89id0D74H68U2za4LWvfCUmy/jY5Z9kamYTz3r2RWxrNhnkOZV0Yye82lhJPRsjO7vO4g37STZn5O2CMjFUagm+qyxdP8vMjnH2XLeAH+Qk3pMlFcQGoQcrVJs1eqsD3vwXP4Y6R7M4hz97z6codB9n/+AzqJ22g9c9/4X80799gc9/5i7OfdLPcOs1n2V1ZZlLb30rlUyZv/lGWuMZH77045Szu9m/2OfUZ55H/6bdMID7b3TM3raFMs3RrkMHXTrdnGS8RkqFyamEclaRMY8rE6wBNyiDjfng9G+5YDOu12aHlOxb6CDbJlDpUzGG1Al9YylNjrEW8WFetE7Iu32KiQyrUPRzWl2DzQb0uxZXM1QankrNsus5Te78twUgQxNPNm15xrnTXHP1PO0FT2WmpFiqkivc8qU+mQiDIueOaz2zcwWm2iAbt9QxdMsMt5AjaZ3ctFFX4rUEk5GlBvUlqgUrLmO6UjI5YTfMTsqiz4G9ezj99HPYvHUbZQHtlmNyYgtF0WWsPs3U9E6WVw8xOTXO0tISedElsRWMSRkf387C8n0sLu2DxT1Ua2Mk9SZLi4skacHE2BbOPONs5mYPU5Y5m6fPoCgcU1PbWWkdJs0gL9q023Mst4RD8+M06uPMzu3npluuw0lBu7PIlk07GZQ9eoM2A5djTUZqUmbn76FSqdEca9Lrekwi1CrjeK80KnWmJsYZH2+SJCm+9JhM6OR9xqenwApfv/1rHJ6f5bwzn8amLZt4+gXPxwrUsox+OWBpdYXFpSVc6ZiZmWFlZZk9113NhU+8gGqtSlJNaTIG3nLdrVdx0x3XsXl6FzaF/qDE5cL93dvZuvVUpqe3kCSG5eVlpsY3U61VWV4+xOH5WawX6lu24VwZRlkR5ucP0x8MKPEULscYw3hjCptU2LqliviCNKvT7rbZvOlUWqvfzq+8Pzo4IYn2xq+Fe00MAVtCOoXGsKsZKjiGQBrwYAikVZOgECJRCTSRaAayEVIdNKRQRPVsLTUjTmKKIjYy3kgcgGGWSChbYsg+hsVFLWKHOm6grbpGqONESVT60CPlQCCoGsi4GuI0HdXioRqPx4uJ5AosQa33UVWHSJ4jMTJxMvaxHvFu1yZfjXLWMMXliOJNJPChLAOoPcI4w7ONJF6HCmUoZxgxGBJsYx44gT/ScEu7kVRRG55bSG8YEkCD16ikaIF6Gwiyd2s/qBlel7jSI17xRYF3DpzinUfKHHUOqwUmtpYxPlzLhkiDZBqUVgukwcEhNajV4PyYDElAbSDX4YENna4cg0ElB0ljWxhULUoS3agjKRSYJJQxdM7EBPVZJLZFQqBILhByTWKb+iPCsoJKstZGio/EOIHYN0STUCe14B14i2oXfIr6HlpaYIAUijoPvgx+iPdQFOAF50Ccoygd5IK6nEI93nlKFYx3qAevQdX0Cjs2yE6yrKQoDWukOOni/SCqzTakYMTvFB8UZWPxPijEziveDR30EpPmlLlFLFSMUJYhT6f0HucsaZKDKINCSMQz1Wyy0mmHfucKBr0SIx4rNoKI1ysAACAASURBVHi6sRMFXzUwYy/RRjSmBEVl2bnySDpXtIT16RhBfQ4iBEZwx9wJSSjKYo1Aa+wz6j3tbotut8B5KJZXMMZy9bU3MjE+zQ033Up7eTPdXsmVX/wCrc4q84cWueDZL+C6r1zL5s2bWJ2bpbJpgsrYBL28oJJlHDpwkN7SIUoxtNottCg482nP4ldf//vMJD1+8zdfzwuf+UQW5w7gygGVLKEoCu79xvXcK/DzL/oaX7zqy1x7xZWsmuoGWUnAYF+fTpKT9JeQyQQpwzinPU8ZnZT88IDJ8ydpPqlOf8Gx7yv7yUwQETBQNZZ6KpSVhL9+++c4eNDwq2+/gKJ/GEmb7L7tZmZqLT5w6Z1885MHec6PP4Gkdyc3rPbpWsNpcia1U1e56Ad/ln/+wD+gT1xldTWhnIWFb9zCmc/4EVZuuIbGpgvIUs+h3TdD0absJVRqKVvOSejOGw7NtegpZM5gihKnCY2KoVN0cd4jWUY6KRQDIbUJ83uWyO4rmT5lO7nziC/jvGEwDnzSi85hne6hHDOZImWJaVgSpyzen9NeFHaeb+iKRyqeqSpMPqFGuc+yaft2+jP3UriUihVKUaQGWUfwJIg6BkkQbcarGeVclbHzE7oLQpEXZBOeoltS0ifB0SsLUrEkFaXoD7CmAg1D0oea99xzz9KG2cnk5BaSNKXUkoXZeSpZhSxLWV7xbNt8Jll9nIX5A9RrdQb9DmIUXyp5uUpiMwarBZRKqzXHjlOehCsVa1J2bNvF3n23Ua0KX/v6taA9rE0YG5tGtUCMx6RKPTmFsfoUnc69tLqHGWsYWgXgS7wWOFHqzSl6vT7VRka9PklVAxfy3iG+QSWrMT4+QWINSwuLOO8579xzGWs0qVcbOOdotVYpdcDUzAzJoEO73eL+e++j1ZmnP1jh67dcxeT+GZ755OeyY9MUzsM9e/ewe899jI+Pc86ZZ1NNMsYnJ9h/+H6uvPYqzjjjLGpZlWajwezCAkvLqzTrk6AFy8uzFGXOzMwWOu0eg36XM3adx/LyAuNjdWbn7qRwA+r1JsZ6arUalSwFhaIsaLfbLLVXEbF4BMSSJRmbZrZQzyo45yiKAQ6YX1pgfGrrWnbDdxNOrESboN9aWQt4rynLiJKqwdlw0zbIrpH4Bo1FTAjTWgnEZUgch6RhGN6G4aQY1L8jJFfWlOpAtKPyvFaSWZu+jBCIksKQv4UUkCGZXcsUjTnZNoQcokoV5sKo7Mk6xyDet4jhSG1juJ9wbz4Scht1weFkaDFreeTBkRheJx7jh8rTkck1HBPrJZFWa8zrjqp1yL8GwaMSiLnxijeyVnZIcxkSAYlRhI3DfV+/iSQxZCaGrqP2XxDatPSQu0CACu9x3lGqol5Q9VEdVhIRUguJ8aQGKgZs4kjEkhpDRRyJMVireBGsHWZ/RydBCjSxQWU1oKVDEgtWkcQFMqw2EOU0qo4aDMaLjWk9JhwTrJ/olqyplCHTvSQk7wRnTdWsRQeCQSXRVtJImstAqLUEyWLKiUVdHr53DpxDXSC5lIK4HC1DWoZ6RZxHnUNdiZagTilLj5Ye9SWuENCccqjKa0gD0miv+BAnKMVjEUoNkRcninVKITFvcwNtxSuo91jbxUkgj6UHvKEsEhAhSYIyZ60CJV5DSoZXwRjB2qjQK5QlWFPiVPFliliPOgsISdIPjqYa1CnqU/DRmY3pMp2yjXdR6fcSU2SiNelwlIk25h3DVKKQNu+O+Imx3U3IMYlpa4CAVx/XU7jgaMWxSWO7DvIB/SInLxy5K0GEvffuwS8foNPtsmfvLM/4/h9gZXmZW266m7sPLtPo3s71X72WtFKj0pzC4Nh7/16KsiRNEpbb2zldLVm1SpJ5MJasPkFRDPjcNdcwNjnD4vwcvjvP3Xfeya/83E/zrx+/mOXlZXY+7VnUmk1Qz7vf/Tf8/d++h2c9+Vw+evlnSJoVUKXf7nHf/XdsmJ0A5KXgV5SB9fh5pZJY0npKN1fMwGGcsP37TiE3YyzvWWD+7iVEhEIVkYSKCFhLr+jSW+nTaxt+9W2v5fJ3/Q3t+Zxud5VMoHv9nVz3ZYMMSq687KuoTSm3WCpeedJ/+j4+/6+X0PTzuMJTbwzo2AGa54zt2sXi7L2MT25iYfE+ik7ORAodk+C8QbKELD+VTraf3mpJurmG8ZbSFpgyZ+A9tmoo20KjUSPvlpAk9PuGtFql7ALGY7zDZxanIbXDi8NIFZP0MWmb9mxOZhp08KRlConDNgUxlvvvLhhLDbI9oUw9O85OuL+d02UfP/SDk9z+5SY2U3pOKGcTNO+RZSlqDakAmVDUK1jn6e61IEuccoFy/9dq5P2cWrWg7yzW1GhOF3TmHXnpqCchGjgocuYO9LE22zA76XaW6ffbjM1sIUsNZb+LcynWpiy2DzLhUwb5Cv1ei1o9oZpNUmk26fZWGAxWydIKU9On4BwcmN1HmpV0+w3Gx8YhyWl3DjA+vgNfegZ5i7zoABmbpidISWj3Z+n050GhVt9MktRQJ5QFjDc30R2sojg0SfBFj4HzNCfGaS8dZvP0DP2Bod9rMTk+Tq/XZfu2rTQbY1TTKr1BzuzCHCur86iHTq+Luzcnz8Nam2o1o1Ybp1JpMih6rLYPcf2t18CFz6Escw7M7sVmBf28zd179jA9NYk45byznsz88iHuuPtWqpU6IgnO5YhJmBjfSqc7T3+wilPPWGMTU2PjrKzOc/ud3yCxVU7f9QQmJnawtHyYMh+wdWKcSprhNHCxQh05DqcFrdVlmmNNEpMwGAzo9VtYXMwBcAzygk5nkUQmyMu7N8xONgoPktRmMKKoGOxwQogT8jB1wQiRgETGKYJV4sKoSHIjAX6A8GcDqVSNqmyciERimUSCM8zHHr7XYXEmhGElEPqgBA7TFvRblFdhODkG0mrjXxOV3GGKhGFYrmAMSFTaxYSQr8ZrWw119sAw51jivYgPxFbXnlNMqjDr78NHx+CIuqXxBkzQJENdUDCB3KgqaoJKlZhw3SGFVDt0EQKxdwT12Qyj0xu8Ecu1uw/H+gbSoMMFbErIrTeCFRCTklmDNRZjFJskGJTUGqwVrJWQb6lCCpQIFAZvFfU+Bix8VPoEhyXBYhKDeoVUEJNC1YZUlzQLVm4tYmNKhhk6OqHuwd2JiShxkR4xrULEgA5VaziSvzEkycN8c4f3Ct6FiIzrh/o6gy97SJmHlAoH4ku8j6kc6tBSAokuc5zzeCe4wuGdxzvFePCUoIL34VpKdGhdgpWSXC2JFJSYSAR9THNJcRpygC2KMyF9wGnonRrvrxTBUCJiKI4lmD5i8CRpTj8vMQi5A3yGalDCEwtGCjBKUTqcS4JdCCSJAzxeocwzlPA8EqsMF3b6gSVJ+yRGyIuhk+oxVqjWlNVen1qWIT7krbeWCwqnVDOHS310dCSmb4TOUzrF50XwAMQFUo5SFMO8cl0LKynQ7vexaVD5+3mfIi/orKxS9jr0S0diEvJBj2ajSXcwYPPW07npxpvp5wULhw5x8623ceFTL+Ti9/4tFz7lCdx93yyfv/IbqEnI+x3uum8PWVbBphlpkvCxf/4Xms0GLs8Z5DlTzTFqtQqf330fz33Os+id0mdqapo0q9Lt93n2U87jnZ+6lOe95CWMnXYe7aXP8Oqf+mEQz8R4kx2bp3EY6o1xjLWcs2szL/r5l3PdLbfxlv/5dtQLp52xk62bNypxPqDfVzSFSs1QCBQo1ckaO87ewuGv3svMWVtYnF+gc3AOTergHNYlkATnxtmMar2C5oMQJfSGf3jT30DuUQqsT1E8qy1LNTGkNcF5CX2uFGwr4bPvuZgc4eJ/+Rcqtkd7ucL05ibJhZb28j4G91o2mYwyrvSub/I8/1dm+PRftJBCOHjX7pAe5YTewT6NRoVK01OahKJfQt+SGmH8rCn6RZey02YglsqEod1xQXnG4L0jTRzOFBi1WCyVcaEz50i9xxqP9VDgQqqjE8Q7pjdXWN4z4MZPt5HUsWVLwrnnN7j3jgGdpnLWSxa59RaH+CoiYQGutw4z8CGKR0pSCNVqlU67BVLjvq950l4fNQVstmR9AxRs3l5h0OqDtXTLEoMlqVbodQqybOMGFUkqTE3VcFgq1SYu8YyPjdPprTI1tZNuZ5GxsSbtVg/VlG5vlUq1QlaxJGmKtTW8CoWWNMfr+LLE2oz5wwtUqw263ZylpVnqtTqCx0hCmkG7s4SxFjdQjCmwicGhlGoDhzAJHkW9w+OpVVO2TG0iL0vyXsHTzr+IndvPoVb3LC6ukNiURrWKqqfX79Pp9xnkPe66+2YGgz5ZJcXpgH6/S6M+TaM2jfdKWZZUsipQQ+tKb7DM1dd+liytMdaYoVppol7ZPD5JPatRr9YwJgUj1GoNpqZCOQdmD9Lv95mfnyVNamzd9CTK0rG81CHLCqAkz7vkmrP3wF1kaY0srXDWGeeQiOCco91uU6tWSSoZk5MTHJjbz8LSLF63UMmqeO/x3tMZ9EhtFqP5CWfsejIrq/N0+rMbZicbhROTaImyLjGLQmOaggGrgjMac6BDjrEVy3DbAzvc7cDENIS44NABGLuWtjFUYkUiwdGYIy0aUkhiCsgwVSOIOGFiFGxcexXzstfSM8LkZxQ8QQUC1nKng9KoDBcamqgyE0OEZo3ggompXMNFRCkh9KUypOFD30HWzhkOF2Z4b0PlWmTNW1AJyrxX1s4bKshr1CymlcTbCQ6MKlgT5vOh+OrjwYTnL7HsmAYc0mTsxuWkASwtLWOMwRoBCbtIWCsIFmtMSMmxIdfZR56Sqg1pHBKfkgqFl5gOZCkwYTcNq9hEY1tYSITSQOoNJhNMEpwLMQa1FowDlyKJDUqsDwu4fCxPiTnQWnIk791EIw/OoeoAIQ3hNg0KcNiRQ0OucZkjpQSFs3SIuphjDF5LpAwquHeg2keLwL99IcCA0nsMDnUJIkVIZYh9BByltzEyUkSnIjhJXoaxnqhsGiFXg5GCUkzMr1VQj1Mb04E8npiS5C1OBKMlTizESTdEc0zcp2TjHK6ybOOcxZUmJMN4SCsF6h2pCRGfwoMWFrBUa12sCP0cysKCJojPSDJHngPiSawnLxzOZVgbVOnS+bVITHCEPEaUAQWZzcgVBmVBq7eKSQb0ioTcW4puGykVt9LCeyUvS6qVBnsWlhivjSPG0Mtzep0Wg7zPPffejfNCvZLhSseZp5zK4bl5xBhK1RCG7XZxZUHhPcsHD9Fqr7Kysky31aa9vEKnvULNpLS7q9x+2x2stDtcdvEHKVA+/+VrqTeaJDalUmuQJobS+TDRlyWtssR4ZXVlhdRaiiJneXmZ3ffdx/jYGPv23suOrTOccc65ZOJZuvc2PvSedzCWpeT9DvT7jDfH6BaOft7HVlIq1THKfp+iVLqdFWa7oR/UtpxOWp/ElTkTM9Mkp56xYXYCsP15m5m/aRnfD44HRunsX2Bs1xT1sYTxcybY/++H6HcNtfEqab6C9YaENAgguWdqps78/g6JNYh3aOkZOE/ioTQOYyxJ4Rn44JyJNSQGKosDBkVJ4+lNugsl1VaPqlHaKw6ZGGPpvoJN7Ywi9awUkCYVKrUBibd88k9bTJ2es7o3A/H4MqVioVJVLnzhj3Ldv30G0xDyXEisB2tJGykysHSLgm4vZ2pMWE0Ndjj+q0EcIU1CSkrjGUsdhRjOOGcGjJBULbaEsigoVNFSOLhPSb0gieCdZfGwRfolrZbjyg/2wLXAJlgpyIylrNaoiPKjv5ly+V/2wvybONQXJBlQE1y/pKuGZqPB5JZpBm7AYPkQu2+F1HqkIliTYjWlKAvG6w16/f6G2UlWaZIPWkxMTzI+sZVWa5lurwtqSNOMbm8FwZKmFZpj02hiSLJx6s1a4DR46o0ZDh7eg01SDClpUqU2XcW7kkqmlD6nUZ1GMExNbWZ+YR+d3jITE+NUskpYTwLUqjX63YJ6s46VDItSyxokWcbkxFamGpNUsgrbt2xh89ZJfFmiPtAw5xztbjuUp56BL7j5thswRmjUmxhjKVxG2mwAik1SKjahkqa0Ox1MkpO4jMTUqWSGWrVJYis0amNs27yZiXqd3qBPXpbgHYfm5mg0mxycnQOU1uoqMzObEbEsr8yxMjiMSEht6feXyXPH9NRWms1JBoMOnUHOxJZTqVVquNJTq1nKskQQ+r0+Yg2Tk5MsLs/hXEme52RZxurqKkmWUMnqWCMsLS5SqTWYm9tPrTqxYXayUXgQEh3IbpjMCcRUhqLLEWVZkUhmNeYQr4k5axNyWCynUf3SSPRMIC/DvGmJu3sMC2ao5HqQoEtaSVDC4qrAa2OoWoZEQI7UP+Y0B0UxpkYYjixKNEfSHiKTC0TaBDVvjdCKCbseDBeDceR5DLMxJG7rJ0PSisTt1I5UxqCoFYb5zd4PSfKRxXfD5+o0OBh2TTHVqHRLVMhCqN4YARMU8kTByTAF58hzNXHx40bCxZ0HBIPYkL/qScPWfEJQ0I0lM2GXhCwxGCtkxmKtYk1CkgqZNaTWkBpDZpXUEpXIoEamYvFAJgomiQsyg/0F4/SoqQTSjgOtIj4ao4WwrUnYsk5c2F5OSlAzCCJ0iPWjQxKmQbGUMirh3qKlw7kwIYf0iqB84YRSIinV4d+Y7hOoOV6URBUXFxp68jWCbHzcjQOLlTKk6SioGlx0NMwwGoJBJcH4kKMfnIDQFoqA2mgLw8x8hxMbdivxFpWw8A5vMVLivIlpRx473EtxA9AdCOIFm5QYU6CaUuQGSDCGEPZUizUOYwvKUuiXCUYU70PClPMFRdcitqBWUTwOayxppQ3qKQpLUVSwxiFWseKxicf7CmEZp8GJ0urnHJqb5f477+Hp289hy1OeysrcHMvdAlPJyKoNvFGe9cM/hneeQR5yyQ8vr3Do0EEOz8/T7fZoLS2w2lph0FqhvdpCih6VLOWUrZsZr9eZmJwia4xzYO9ezn3iE3jyUy7EAK4oabeWuenaL3Lb3mVmDxzihptuoT/okRcl1qSkWUpROIq8YFAUjI+NkZoEXyqLKwv08x5TE1N4VZKsRjWrUGLo56scnDvAnn27ee5zLqJ9/Vf5iRe9mKnt2xifGac2OYG1KbXmJM4YqE1Q9nsUOaz0CjY3xqjUaiRpRlGWYCzTM1M4V4AoSSUjyWobZicARackTQ2uJkiW4Ts51jRY3bNCrWlZvG0/ZSsnJSMTQ08LXBp2lMKBJorBU6rHmoQMjWOuI0kSvJbUKmBKsJkJAStV1CqaC5JZxE5j6wNkcQlnEyrkLO+bp9cqafVgMauEPiYF+UKf05/+Qxzcfy3lksP1+vRyxaaWJFNcqVz3lS+gtYQ0MVSKkK5lx6tMTsL9d86TTWb053N2nJ4xXxEK8RgPqKNIwRVhXvK+pNIQJqvK5LTBq8WG3ELE1CgGPVxa5QWv8Hz1fwtOSqo1Q9OmLLULSieszpVYJ2Q1S2kFdWCKAUjCp9/lMGNC6ivkWlD0utSbdVbnV7BWSWyDTC1Le1ep2BmKQQ+h4Bf+NOeyP06YOKXkgh/3fPn9lqLoIOXG2Ul9bBKpVfCu5PDhA9gEil6bbdvPYd+B2xirbyJNKohJKXxJtTpGJatTyRrU6k22z2ymdBneDZhfXaRarWI0oddb4dQdp9NabcXUTmG1tUS93qRSaaB4FhbmqdZq1Grj9DoDUmpsP2UXjcYkg7xLt91iZus2krRCr99m++bNZElKvVpBvNDplP8/d28abFt6l/f93mkNezr7TPecO/XtuVtqCbUGkCVLYJkxnl1OKJM4KRLHVQlVGWxXyvkUkqpUYuKY8odQxA4xDpjBGNuFDAg7gAQIpKbpVqNu0WrdHu985n32uNZ6p3x4197nSIlFOcWpmLxfevc9e629hnev/fyf9/k/D7fv3eZLr7+S+mwiycVHCJRQGJMho6Es1yAKrK9p7IKiKFFSU9UzppPUfOyCT0wvFYSSGGdEcUptaxaLGZ08IwjByfiUfq9D0S2ZNxVHx0dEHLapEScBKTM2N3Z5+KEn8S5SFDlNM2c8HhECrA02yTQoJRkOhiilOJpOaBrB2tpauk7TGdP5hIPjY9aHWywWNTrvUC0WbG1to6Th4PgB88WEqhrhjyPTxWHbVP+Ha3xdEJ2kAGeAcckYKpJ7hJSsXApW2FWIMzlEK604a6MTLcOsVuwtYim1WO2gfdluJ0TSqUIC0kuZyBJcLqUcJJY87WEJypf/TYAh0DpWrJDv0mFDcE4LkvahEiJRsW3248wCT6qlC0e7yr+yxGuX2AUYIZPEkrN9p1Xfsw781C8Zz53z0n1EYESC6q69Dy3vnphzIEqZQF0rdVmy7MnLMiZAnXbZAuiLBdHayMQ+KIWUCqUUmU7MtFQarQxGa5SSGCnQOimKtUma41wHtNIoBbmSGBGRRqbrICMahdARGRWZTPplKQQSm8oTK4gygoyI4CEqokleqAkdJt/lpEMFGVqLO+eSHDb45H7nIyIEmhCTNaIPCNH6DrdLT62ABiECIihklHjZWsghIdrEgIv0HuJSJrQsMB2KpdxJEIRER5egcJQE4VECGjiTZpCadiMqaZt1g3AGiaMR6UdUCpckDsTWz33pYJK+Syqm8w9L6RACsPiYtOWWxFSH/8cGuD+YEZxOns4x0NQFINO1jQGtA0ZHlJ6itGdRA7ELXuMiCBEx+QLvFSp3SBVwTuK8JHgoZMQHhRSSsqiIIhC8JARFWBiIkhBD6hQngI3MTk/57Rdf4LP159AMaRZz7u89wC3mhGqKUlBXlkJ43vfsszx09Rq6t0Y3aA4P3uFbv+VbGQy3mU1OCCJy8NZX8PWUSLLdM77G2hkZx2w+lBOmb/Pmb96kaSJ1jLxze8S//M3neeW1N5nPK6xP7ilZVoL3mKxIzTrtDPYuEI3HGMOlq1cxIjXp1iHQ1BUn8ymhrlFao7RhUJY89+IXub61xcHhMSrPyfM+/bJHr9MnSE2vU6K0RMqMR973Pj7+zd/BF37n0yAVtrG8533vRQrNtWfew9r6NsE3eBfI1cU2Fh48f0ixbdh873UaYPrOlI1HSpqRwwwLRq8epqZLJVG5RkaB8bSSLoHQMJ9XRKVRuWQ+qXF4MiHxMiCFSXp8aTFeIMhgo4c1FXpsyXYUG4sRWfcxTtdqBjvXaLp3GN+t6fuIGw6hrjAmgBcorXn7lc+x9sgVHrxyi96mpLNrme5FooxoJItpTZ5rYojobU01DWw+cYmj/ROqsWPj6jqzSUWvNIynI1gfImRaSVLeIJSkDnOMMrz1XI0Jikevp1VJHyK+BkwgyzXBVjz/oxJnJCqPSCs5rqaYKJMNYEfia0ddtb9bXYlsFI0UCNVQzSEvI84JvBP4usJFiSk76KLHwcEB60WJL2qk6BAnh0hTkW1toseCW58W9J62HL2mkfnFPVMkNS4IirwDdoqkz/b1J/G+YnPtGnlngPcOrUvG01MCNePJMUKdclk/xGQ842R+h63NR5IPvYIsL1BTxfFiRLQ1nU6f2leUnR5CZpRlTq+/zqUt6ORrbG5uMuz3KTJD5RoGRZfGWnwM1E3Foqp4+pFnGPb6KK2QUjOdzzg6PkaZjCJfQxhDXiim01kyLFASaTWuqbG2SS48ymNt0xo11EQ8RudM5yfoIjk6GakZzY/piYJM9NjeXWc4GLLWHVK7hizPOTh4wMHBPiY3KC1ZLCxKCapqjvenKJljlGKxqJjNFEob1ta3mJxO2BxuMuhkSe9+cECWZcybCm0Mh7feZnNjm8Y3nIyPmFQjLnUu0ym32Bj0mS7mTOdTFos51tfUYUZtK6ajPYKMF6qdv6jx9UF0MlI+A9K0mtyVPGEpMT3TRycbt/a9gqQvTbYSCJGsqtISOmf7gXNAvf2yCZUktUKsZBEJcC8bBUMKJ/gqAE4b0NJiD5JKuDWdShKJFUBfMterDdO7EkI9O8bWv1Vyro1Rrkz70j6gtb9LZyJa4KqiXDX+0f53aT/XGmsk1oQE/JeOJ2rJNLYi/TMd9XK5XyKER8hWySuSilqLpYVga5G3lMIAKxuMCxr9skRp3Tb9CaQyaCnIlEZqjVYKoyVKQ9YusRvlMS3zb6TCEBBaY2R6gKjWMlEHT1QW4SURRwgB2c6jIFPRIkK6PlEul0BCKiKCSFLkEJL7RIwIDzLGtrBKbiBCJHY4SNAxrFhbj0oNtDI5AzgCMkoUHi9E6+udWOYUlOLw0axYVkg+x0I4BAodwcas1biDlE1immO6p15IEJoQHIqk+Y7CoaLDk+z5AkuwGHBoNGBFklalwim55sSlVCUqEB5L2+QaI54MuVpdARtV+u5KcF9jxfYHOWIMRGkJXiJlBFljG42UkSyfgfA0VhOdQbTypKgsSlbEIPDekGcNLiZ5R9Okb3mWO6zNCEGlzvlQEhCJmYkBpSJGpIZDSdI5Z9Fx68s3WR/VBCKbgw6PPbzLM+95iPX1PnlpKAfrzEdj5tNJMmQJFfb4GEXkoYHj9c99Mj1jlGSxqKkc7F6+QtkdIrMC4SoWfpc6Kh48uMs3fuSbOb75PLf357z5xh1+8VP/J2/dvtt6SEu0bItKo+kOh2R5gdQZQglOjo5YuBna5WipEFaTD7pIoQjzCTovWcxOqSXYumFRzVKgQZZxe++If/qpX2F3a8D2dkUvKxFFzvDSFZrKUjWBIOFw7wG/9dpNSh8xmSEQ+amf/Wd86Okn+NQ//DE++PTjPP7I40ihUOZiC3PKjHpUM339FH2tZPPxLfLcMr07ZfTqKdlaniRuHrSLRA82BoR3BA8bOwPGp5P0vRBgNnPsvTleOoyXiCySXdvB3Z+g+yXrHcND37TLK1/Z59FvFGzONOX1d1FuXeLnf/xlvvE7dnjzdIPRSy9x4088xp17kks6MH7jFln3hLDwTdI1XwAAIABJREFUSKOZ3r9H3oXx2NKVPdZ2S2bvHNJESzfLsNLThEBeFpRXO8junMYm3+sHvz1C60gn71DIkOa5aPsnxIw86+CkogBsCNTWEWwnEQ7e4HVEZwpnoa4d1mgEnlB7Nq8I1ImhmvpEKUTJo+/pcu+tOdUYmtOGrJMn9w+VYXSDs57dZ3PuveiYVlBmEkNNfr0k3yrIXYPTR9THka2nHQ/3PsSH3jfi53/yLQa14kN/us+3/cAtfuBPXr2waXJ6/ICi3KAOmk6xxUPX3sX+yX2i1/gwJ7iG2ewIpSV51qe2kk6nJAIuNJxM9qn8hP39OQ9dfZSqWrC3fwcZLJWtwQbqWqFNh4ceeYTrV25gqwYlUjhSAn+KEAKj8RgfPItFxeHREZubmwTvkdpwMp7iGo8LHhsdddMwmy8QQrC5tcm8thwf75NlBd7WKKFQAhyOPC8xmeTg8JjBoE9TOTY217l/cIdM5Vy+8jD37t6l212jk5dkpoNrGj78vg9z5dJlQKK1T85UIWKk5PjkmKPREc43ZCbDaEPTWEIMeL/gzr3bDNfXGI1OIErW7U6y2FOR8XhM0SnZvbzL4eEhp6enrA3W2BgMsXWFCJ5mMV/1mNW2YjyD/cP7TBYnBFtT1XNsrFBIpC64vHmFK1cubp5c1Pi6IFoLgRMtGyvbXDfBCugK0ToXCNof7AQqE/Bcgs6wkmyIZQPeEkHC2euVfrgFyS2AXiUWirPUQ0mENhFsaUMFLdiMZ5riiEjtXy2AVZD2y9JWb+n+EdvGQXnmV9z+LUk7zph20S7rgCK2yXTnzqaVrKT/C2fVASunjRZAy1a6EURAxnNMNAIZBVH65RklDWzbu5SOM6x8pQUqacfbZRApkpWWlKBbcJ2Y74ttLLy01kUohRECJTVSSbSQZEaSSUBJCp2070p4tEjWbwaXlvclaOGJLVg0zrU+zwqLQ1qNoG5ZVHCk5kUZIk4kdpUYCFGkNMuWvVleExfi2epH8GkJO3oSLNeoGJLfRqDtGw6t5MJipUhqkLg0vvO4CNLL9piT5EKu5mwgBEMKblHtFqkkCMIlT2IScy7agi2IyDKFMBCIMh1TJBVaMUiUcAlky4j0KjW6EghCJYlIG1rkECjpCWQIAl4rosiQaFAaqQSoDCEzgjYYZRBGo1SG1Co1Zl7QULrBWY33kiy3hJAYEK0jwSsam4oIEQUBhYg2pZX6DCE9SluqOid4iVK+LVYUzSJHqZBWHqzB2wYZa6Ktic5SN1PC7CjpPttr3FjHvekhD+cZT1/b5vJ2yfqgw2i8j/MNVWNpqpvsn4yppyOeePYj9PvrqM3L9DT8+qc/w0f++J9C+BrvLH7vJnv7c3RtGHZy1ss+w3LIwRt3uPHE00RviaFh7coNHi4rfvGXfpX7B/ssFhVKJpcaKwRaaXTweJ+amJAK6SNbl3YQXiC1xEVLU9dM70+IQrC+sUFWlmwQsbbGWk84siwWC7yrEEjeeuNN7t3tYJ3ko+/LGJ2cok0BAg4P95BRcPj6V/i1T/4k3/6xjxN9Q5h7Jsf7rF/eRUlBpg3VbMr09JT+lYcvbJ4ADL9hAzmPSKnJegGxOKbec8R7E+RCYecBI8BmBZiA7WaUtU+kjxR0swI7nhMziXCGalQTJeQIYh4xm0PURo+tpx5ncucml65f4rXPvUY+hf6HnuHVrxxy8uYv4ScFvY7id37uAWYw4l3f9BCiP2br+gZ3b42RTUXQV2A+xTQNta9AePq76/TX15hN5zx5dchr9+cEKfCuobvbZXZSsVF0aI4OqSpLZ6tg9mZNdI6yEK2vuEc5iDKgvE7ykAh1WhtFSA1NIOsFrEze+C4GTFTsdgcczBZ0BgopM+ypZ/1yZP9OiSgCuS44uOcQOqe77cmCwvTg8P4Co4aI2pKtWY6+MAPVwYSGp3YVt/Yq/P4pljUqccp3//UTfu5/N1z9VsdP/Ozv8cHH3o0UgfXLBXe+3PD5T15h91v8hc2TfneL7uASwhREe0pdWzYGOxRFj9dv/Q6z6hilukQaGtskW7vGElAYVbG5dgmcJDaB4ARPPfYUTz76FNF79g73OTi5x3w+5fFHnmHQG3C8f8B4MaGxDbuXduh2BhweHnJ0dMjG5jqXL+2gTM6isYwmUzJjGB8dU5YdDoVgOp/RuAYkTGcVBEen00nzXCuCa1IfyGxOVS0QMqJ1hhACoxW2bnOJlUJJTZ7n2DrwriefYWtjmzIrsLYiywydsgTjybTEGEWWZTz+8DUat4MLkft7e3z55qssmpr5fE6WFYRosdZitGQ6naJVByMNMUY6ZcHpyYhBr4sLngcHexR5zs7WNt2yQ6/sUJYlIXqK3HB77x7DwRAhBCcnx0Bka7hNsMkSuPE1menQ762xu3GZTtm/sHlyUeP30US3wLMFgymVMAEREZfAORJo0wRFWIVKnMk1JEvPuVXIRvvvIi4lFbK1p1vqnJfSj/YwpFrJJZJuWKUHyJLNjm0DYEws8fIzkk2VXLHjS4a6VSefbX/ufFts2+qc22jvlb3e2R+XMRfQNhCKJeBNzJ5qGWTPmQ+1jMk3OBUDsm33+lrmvG2SQ7WFSNswuEzGW5LoiNTEB4lNbIuYSAqykHHp27Fkrv9fzI5/jbHR65HJgFKSMjqCSsenZMQAUvo2AdMjpWvvW5M8sUVEeJUs70QguoiPliAFIiQ9d6DBwEqukPToFmJGiKnJDhXbnxafrADbexaCwODxrf9pWBZeQRNFIKms0ypJjGFVuqRooZRKaaJcJd15FFJ4pHDpuNvvg48irRBEQHhC0Ehh0zyPyZYmaZQ1y5WVGNMx0LLbNmatTCRihUG2YD7ZBmZtoSgJWhCkIJCjM4knJxidluGyDC0TMBZSIFSO1AaldXrwapO+EEanIrEF36knIUlALmyEll0m4r0ghKJdxWnQ2pHlFmdzbGPoduZI4Wgqj6tS8tq8muNqiyDi62l6PnlH42qkMsTgcN4jpcEHiXcVMsswZYaSihrHwEOmDDJzKFnyH/+1/54rjz/Br/7CP+GZb/oGPvkz/wcf/Pg3sG5KZpNj9uZv0dGCJx97Al126A6GFAp2X3mFD37Du3BRMFxf5zf+xYKPfOBpHrmySac7JCt7zCYndHafpr82IGrN5auP8PIXXuDXnvsdfvP55zg9nbbPtlQApueaJMtzTF4gMoNq5WA+RgbdbttEpLl7vEdTzZAITqenqDb4Suc5nV6Xtc1LlLUlOgeFJlQNUWq++KXX2OiXfByFUpK6suRFgY9Am0JomzlSKRazOVFpmqYmRI/1LkUIFyU6XGxhLkfglGNnq8dcTTh8bYZyHlunlaO8r/Euw1mHbQLaR6SJ9B7q4Y8bBl3Pg/1AUUeGT34Mv/EKRfgg8+o2D154Bbd/SsdXHL9xmyLCy68fIwdd5DBn73ZFISPlsaD3rppZd43Bu085fHnM4cijDhuiHsODSHFlm6y7waTpMNk7YZBlzOenhNOK6dShC8PNRYXUiqzXxbsxdlHhHeQDw3xkUNLh7jbYpgFtyEk2dxIQSiVdN4LcSGYikMX0G+FknZ7zjcM4gZeOPOTMQ4X3lk7H4+Yx+eOLiunbBl14ctnBR0fIFHHqcQuHvmIwGxndaWC9G7l/1AY/FQZmNTXw8s0ZpgRd1yjtMGXNz/z9jHd/YMHRc5KdS4ovvfYK3UuGyXFkOgv85icbmsnFPVO8liA909P7ZDpjc/MyL738KyAFWdFjbX0TZwXz+gitO3R7fby1SJWK7dliQmMjl4ablJ0us+mC4fqQXGc0AaJQjNQxZdalk+cMr15mXg05HU/YHKzThEin02Fj60nu37/Hvfv3WRuuszYY4I6PqW2Fw3EyGSWHpBgw2iCNpmj7Z6qqwlkHIjk0aV2iMsV2fweT6Vb/nLTPg/46G+tDZvMKeeka08mIy1ubbGxsIiLkRrHW3SDTOYtqQT1tcMqyvtUnykBeCrKQUdWetW6fZ9/zAV557cvEAGVZMp97cpNjdIHJcjwBjaLb7bGztU2ZJxlXYy3epxXxPMvSarLWuCY9Tx5/+AmiUDjrEQJ63S6Xt3bR0mAKxclogosWKRSHx4e8eevLOBf4zo8/dmFz5SLG1wXRsW3CQyQJglwBmJYzFmdyidgu0XMerIkzKcjy/bHdr4wtGG8ZmBgVchUJTtqi1UOv2GshzjGwZ9KKpVwjWcqdZR7Ceea4/ce2MWspBzh7YyuxWAJ92W4lRNLZtn8TrfsFLN03zk54CaCXx56iiNsUv7ZRMbbNibFll5cNC7TXQ7fXabl9W6qwDGyJ5/Xly4AG2kJj+Zpk8be0zmsh9oWOy2VqJlQypf5FociwuJbrl5Ca10LAeoEStl13CEQZzyLfQwJyDoEKkdhaimUtDl2uUCStr0kyBAUyBEwkMa9StvZx6a4k3lHhiJhWGy9av2aCxIqIiQElG0jtRwRiaoqMybEiygBBpyqmdY0JIRKkT8E7EZTwbTJ3AsWodC2S3WMbMBTbUkCCjxovk5NNVNBETdQKoTK8VKAzkAakIhqDVHnS02mFznKkyhA6Q2qJMLq1Y5Fts0I7M1vnjZX/+nJJA/jayirN5qU/9sUMNZ+Q+0jEIitHVY0JNmCDYzZP8oNIwMfI6XyR+g+kQkvJfDyh3FhHmgKVlTTNguHDjxMwSJVx/Prvcv3d78dKBwjq+yN0b52Y5yAgu/sq2V2DzjSFURhXIFVq4o0RtrY22L1ynU5/yPXH3oUPke5smwenFfP9mnc/+41Ma4vJSoTwDHd26W/sUNcWpXJMp0en28VkHZQpEDHpZGO0KCG589Y7fPazL/CL/+wf8/kXX6CuGkJINmYuBlQIZJ2cLCspigE6K/HOYvIup6dHLCYT9tqekGoxByLWWZTWMB2nIJoYKYuSuprT6ZYUeUnW7+OcZTKvGU8OmE0n/O6XNA/u3mNjuEOvLJgvZkzGp6kYdA0RRbfTofaeQip0lhFjxNoGqTWT6YxtO7uweQLwl/7yn+cffeqfs8hrRq+MKftdZodzolSYgaC32WF0b4oKERsd2lv+3ff/51SX1+nlnt+++U9w/QluFvkff/Df42/88N9iNz/g7h3H+uOPs5mNOL0zJq51qR+Mkdd7MFlQHE158LljYmVxwdHMM3hjxkle8fB3Lrj96wOq2w5vDO5kzH/4vd/D6/uON289x70H99gfNeRlj2JgGd+rmJ3M6W8OyB8THHzxEFSgo7tc/cg25UBgt3KmJzVH9yJSGnRhMCag6holFTam9GCkw/qQVlFksu6MtUiNwt6n1TylWDQ10il6pWLsFEJYXPAgOljtsZVFuzEew8BlTJo5XgrE2KP7cz7wzR0+96mGrBe59tA2tjrl5msV1wcF80uGx999g7uzV9lYO+H26YI/921P82c+8R187/f8b9z6vCTLNc5K4sDT37A8+wnB+z92cemWmdTYuqGqJnQ2rvDiK78A0bE1fJiT8SF1U6CkoVOsIZXkdDymmxeE6HHOEouSjslROmMyHXFv7zadB0XyWz8ZceOhG+xsbaNMkm3lQtNd26BjCkIAfM36YEDVNPS7A/r9Pr1+h/17D9BKUDWe4D2D3oCNtTWOT445GJ2grabMc3qdAUfukGu7V5BApyxpXOTgeJ+qqtnavES32006aaM4PjhCCEOkoiy73Lh6g7WiICtymqoi04qFrah9g3cO75KMsT/soU1q6Jcy/X72Oz38eMIzj7+LajFBSk1/bYgkUlUVSiumsynKaAqTMRqPqWzDyfiUuq6RLdEYQkRkitPZFK01p7MJg7U1blx9iPlsBjGy6TfQUmK9Y76YEXEcHN2nWlScTu5zcrxPr3uxtpkXMb4uiE4M8VLCQfLapPWXbT2P5XnWud0KSM1UQhFbLa5IXYj/N/CaGLA26ZDWNQPR+jyHFmTShlkspSC0AH15Aq0EpFVzKLFSZbNsvFs23a1AcvrwFbxcpoqtDq0FsucVGQlMpxTG5JwRWmY0HfsS3K+2a8Nq5NIMW6hWb9tes5jOU8S4up7tpVude2yj18+h/eSEElMMdALqKUExRp9AkEjbp61a9+gLRtFaNAgh8a2vthYOJyIEicHjosJQtTXtkiUPBHSyOSMB5yR8SHdFJ6iFEg1BJF9gRExepkSkSFy+CcDS35dUsNEyynVUZDHJbFZhPLG93yHiVUAHRWidLrxYBpcvr2CKjZGxdUxpZRYhija1UiLxBKHxaKLSCCHwy+ZZlcBwECbdY5UhjSHqHK0NRqUGMKUNQhukMogkCkcqfTZfVZKxrJpgz0md4Pz372tGO3nFudf8K976NRtdyBjt3SPrCiKW0/0Dth65hlAlIpZw5w2yRx4lCkEuQN+/R3b1IWKEzGrU7VcobzwDQqJNxSLO0d1OW5QJjOknkBGzdP+zjEU9oygMIWRkIsMIiVaGYCRUIulOfY3QDd1+julvkZU5Vy5t8tatW9x963c5ufc6HQ0vvvxFnnrqGQCUMqvwpOXVKkxJJiU+pKXr5CoksdYRQkSZDN/U3Ll9h+l8inKt2K01dg9SI3VG3uliTJJp1VXNbDzh6GSfTKc0sLqucd62K2WSxlY0bZy80jlVs0A6i28aXOlweWparZsaHyNaaQ5GC77w0hf5tj/+7fS3tonSECNsbF3CO482GbWPyKIgGEPwgZVPeVRkmWEw3LmweQLwuzdfxs89zWFFc98iN+sUAKYhZJrxvQnR6mTzaOcU2TX+g28fIjdyfu/Wqzz3Uo/uwsDQ8le++z/j3U/22Hv1LmPlIHeM5gqrNNInv3axf0poIrVPNqcRKERkS2/zTrZg9LYiHm0z44iqsaha4nzNj/yd/xU/BDeT+LFCFhE9XGf2YB8RHF4JgsxoTiTdvmJegcUy7FmEgLIrOH5dokTd2rlaahdAWoLzaJUaiL3UKKnQyxVb69Aq4HxgMVFEFUB63CIgosNlBdEnxyYRIo2OiNqjo8BFwM45aTxaGnCewXqkGgVe/NUZ2ktco7j1pSO8jHz0o9vMsxHqgWVj9x6vfzHjvd+3R/YPn+HtvRP+/b/wd7nxWMFe6PLUxz7AQ4++w6d/8i73Xq6ZPYh8+qc8f/2Fi5knTdNQFJIs01T1hI3hVY5PHjBvPHlnE6JBqQ5GZzgf2N3e5HS0T1EUCBHplENGoz2Ct1zffYQr29tsb23RKTvYpsEog5QSF9IK2mwxZ3JwjMkMk/EMoRSTxRwidDtpm6/cvItRisZ7lDRc2tpl/2CfXGm89zx1/WG21tcTIy0l1eWrNO25RB8QyrOztc1wuE7TOKbT6Vmjom24NujT1BW9QZ/gLIt5xMWIFhIpNIrA5HRKnmd0u12ccyzmNTEatNZt4BV0upq8XGM+94wUWOuYzmaUWrExTDIMIw37x4ec2nGyJbUOIQRZlqGkpN/popVmUS3odDpUbXiUmEyQnchwbQ2jUiPlyekp79y+xWkzI89LBKC0wBiDUoL+oHMxk+QCx9cH0eJM8kCMKya5/cez3+PzMg2WTG6ClSu022qCzyBsYOmqIcTyLy2zGllFWUtom+TafbZMrhJt9kHrerFko1FypaEWiDOv2BWQTu8TK0BxnmU+s99Lh504YLFMAmxl30suOKzgoPyq81tKSuTq9NP+tBCrYiDGuLpGbRAeMZy75staQcYVo5iOP33O8sEo2g+Rre+1WDL45wucpQzmQkdqgzNSYKPABzAiPaxtVKADTUjAUglJiBIlIj6CET6xvbRtmhGijDQhsnQ6Tg4Vy3NvXSqSrJogHDHKFMxCRISIa0GswuFkmkcqSkJI0qHUwCcQAVziArHL1RaxMjFsL6CmQSNNSoj0KsOJ1L0cVAlaImSONhlkOVIZlNFIYxBKIbVJkgkpEbqVAa1WYZbzbPlhy8Lnq4RGwDlV+7mb+a8Ez/+Gjs61G6iiAjxueoIcDPG2g0Sg8gKnIJOe6JNzh7VZkvTICqkUTSWJKiQJmTR4L1gsFFqr5M4SJI2VxKAwyhMrj1IVRWdOrxNxMiCkQAeJE4EmKlxTE6OgyAxSKjJt0FnGvF5wejyiqcd0VJf7d97m8SeeJoSAFpqqqVIh3j4OdWbQWq4sNJ1zKCnxzuOs5ebNN/mJn/xpXr91G+MjNpICg5yDGDB5nlwBtCGESD2fEAJMxsc01YI6zttm6kjwyXUlBIsAtEq6fWsrvFdkOuBkxDpJp99FuUie5dimoomR0ckhr37pJT72kY/S6w2QQtB4iyy6+JDCskKI9IbrRGupaot1gaqaJfZNZegLrsxvfuUNmsMx4weLlMguI67xyCjRTaR2KaAn1wUNNb1ixPf96A/Tuaz5i9/wcX78b/4V/p3/5PvpfM+C+tNdDiYzZk8Omb5wG60zhjcUizeniElGlAY1T2SEtZZcCvrrOdW84j3vf5pn13t8+vOfZv+NMWZb4hpYHwYKmbG2VhI7M/ofnWM6Gzz/I4G6OgAsZiCRDlw9RxdDzHBIt7KEuiIrIzUCpQXaKiQFwtS4ChYzKAZdnJZkxOSgEwNSerwUyFCT5YYqOEIV6G5JhAVrPWVXEkIPZxyubjBS4YJCNA0ui+RofIigNBqH1gXOee692aAyhemnRNW847FOEoTkpZf3iM5QdDwvvzBnsV9z6/kcJQIP3hpxZXuXu28eINycO7/3ee5/RfJ9/8UH+W//xq9zupdWFS9qbG5sM54c4Zyn211jMjkhtXo7tEn6YCkl0VuUlDQzy7Xda2hZIJXk+GSPy1tXWF/fZb3fZb3fZzabJcu/Vm7qbcN0NuPW3TvUbQT71uYWWVlQliWj0QitFNY7vPfs7uzQLUoWTUO1qKmbhss7u6z1uriwjlCCKniOjk/JTMbh5JTJZEpZlGRZBkR2NzYQLuCbht2tLaz3jCanbA7XKLRmd3ubytZkKmPQ7yKUIVOauqrQWlMUOVmWtNRlWSKlInjFrG7QSgE1Wa5RUpAXgqHscTI65Wg0Yq9awN5dup0u650+a/0eRbnJyWTCaDKm3+9TVRXee+bVgkwZVGbYPzokkFbDhJJUtsZPAt1OFyEEeZ4zWB/CWHJpYwu7dYUv33yZfneHMlun0+ld2Dy5qPH7gOglOIYlGE4whbOgjxb8LBMCU5KcbNmyJeAUXwUIku55qSlu2eUl2BUJ4CYt8VljnGQpX5At45yQYVgyzOf8Bc+gesvFtj9yKx310n6MVtYhzzF67bbpdMQKryQWu/UObiUoZxzUUmrBystZ0Oqcl/rbVmO75JRX1naJsk+fnUyBW9eGNoGv1dIujyO51Z01OiboGlvN91kxE9vrv7quX+9G/wGMuIS4UaX8P5EY+igiWsRU8AACiYh+JW1ZFiSxTctbNuel8/GAXs0hj0BH2foiJ0ZfohJDBu3+Wr2+gIhBRUtoGW8tbErWjClVMwJBJjAepU5d/FIkRlCAUwYhDUEZlM7aZjyJ0hna5CilESZHGpWkFUoijQYpiSut8bL1lLN7E8JZkXdGEX/VkBd+x/6/GUoHtAxEYclMTrBrBJc0866JKFfgVCqpNLQSBY/zAWctRliKMtA0pPCmRqPbp5iSGc5KVF6nlaI6oqNFaU+IDilSs62SAqEE0rde7AqKQiWLRZlkMUIaHrtxg+rBHfZf+iLy0SFr3ZzXv/wyL9x8g/e/+33UTcPByZhuZiAHqU0SD4nl+lYSMtXVgv3DQ577/Od5562bBGdX0poQ2u9ylLjgqeua6CO2LMiUZFEvqOq6vXrpe+1Deg6FFpgURtLPNQvrmdllQlryko6ZxNUebXTSymtFBJwLjEYj8kxjpEYZRWYyvK1XXvjKGHBJxR9CSgsSUiGUwNXzVXDvRY35nQWLuzOEbQObQkhJa4sG55KtHCFC7sEJDmZzRtpybTPjRz77Gbg2x7/H8+cf+QQ//GO/hLl8jebgEAJcujqk+7Bles8jnccIjdLptyjPQVpFdy1j8OQuv/nKl3jvo2vYdxrkICfv1lSHhsUMshCZzWrmx4Lu1ocZ+zeQMlBNLLKrKKzERk9fWHAOHyuauqEzyCHMUarL6e0F1cIjjUI7QEG9COQ5KHku+deZVvYmyKOk0knmESQky3uHQkFU6FLR2EhW5oSFT201KIpIkg4ZSVAOMTdYaZPlZ6ZY39HMJ4l1HfQHHB2PMTojeIMKUFnJu69cYVHdZ/TgYT7ybJef+gf7PH4t5607im6MnB5UuJjzQ3/nRXQXnv2jj/Lq5y8ubKXf20EqjXeRTnfAfDFiLdvGhojzyVdeGwEuMuwNybOMR649jFIdvHP0ipyi7NM0Ae8dNnhqZ2mmYwiRqqnpdVMjXeMdUkoyY/A++TJXiwXBB5oQODkd0el02doYEpzHNg2Z0ZSdAh9SoFVZZpxOJnjlVwW496GV3ID3jtFkwu7mBlorgndIKQhNKrZ7ZbnCGYXJCI0jEtFKJrlJnpFlOcbo1JwsJc4lcO9DwLdFQIyBECydTrZqOlQq9ZfNZjkhBMqipFd0CDEy6PXodJLErHaOZcKyC4FqMaHolCnWu64IzhMLj8/zNN+0RrYuWUIpRIgURUk1XwCB+XzG9vZljLk42c9Fjd8XRC9Z1iXtLFb089Jt44wxW4LgMxcNmdwqxAp6r4CeFDqB4eXPzZLRabeXbeCDaFMFz+QVYvXZy722b2wt9s6AbwSkEohzzHSLxdvmQlasXgLNLUvc+joIcQ7ktHZzy+huKRVtu2PLGqqWVWfl65xqCXE2YUViYSMBrc6l6LUsdwqbi62fbwvW232LpTVee8w6sjRzQNM6PXDGuCPFiglfXr+LHILUhLJsnVPBr9xVHBIZ2oORpICPVneshCPEJEERIcWmpuo/4DFpDpEaEVUUrb74jJn2MaDQQCvZiIooHUGkhj8V81SBC0UtNU4nr1WEQqgiNWdmBSgDxmCMoTQ0wjaEAAAgAElEQVQZ0uQIrRFGIaRuVyNkG/vezsGvKgxX6y5nsp5zV+f8+NpI+n+d8fvKN/4NH1pXNFWfgIWoiCH5PWdFRRUdwUEMkryc48MYXZwQXQGNQkpJdzDDWoMIBVIqvAs4obBNklhoM8OLjIgk+g71vKYYlIQgiU1FptJciRJ8jBRCsmim2DbqN/iGvMhAwvHRXbxcsPVIge6W3Pm93+C3nnuVjUs7TN9+BeUj//Lnfprv/Lf+HJ1uiZAKLfTqHi1X2Zx37N29x2c++xuMTk+RUqZ499XDK1WYtmnwbsRCSrKqoN8d4OpqZeUZ4rK5+Oz7nGvJX/2zH2azULx9NONHf+Vl5o1DSUW/v0bZKXHBkqsC5yzKFCg5o65r9g9GZEUfYTRRQLc3pOj0WCzmScTkFoyqCkVEZ13K3hrOemIIxOCRbUrbRY1qMkUqhXABMdAsThtUV/FdH/4Qv/DLLyCkJ1vP0V2Fn9U0s5q1jUs88ac/zhPdjM/c/m3cvTF/869+ktBIru9W3FiL/K7y7N16wK7eJSsHxFlFHj1WaoJraETBwlg+8V/9WX7xp19ks3+d5770FcTGDps7U3aerGjqnNvHM+gaPvEne7z1esakvsVbL3uuv7fPWy+eEqRE5yXz0zHsrOPmY/qPwOxlQT2vaRYd7rx0zOQ4JPJJt2mchWJ/JBkMMsI4InTrHKUD0WfIME+OLSFip456w7Mu2uhqHzC5gSgw3tNRMDYQvGsTXGWyKZMCKQyNdGgv2NhdYzybc/WZnNc+s8Bkmr1bNd5C8AvKUiWSx0XePrhLaBSvf+oOr84VysBr8zus70hmR9Bxqbls3pRcfbzkr/2nf4Ife+/fvbB58ux7P0rEY61jPJnSH/SZz+Ycnewxt3N6nXUyk5Fpw7DX5/LODnVdcXBwTFXX7Fy6zGR+wvHxA0ajjNv37hCEIM8y6rrGNjU7Wzv0Oh0ee+RhMpOxqGv2Dw5YzBdsDje5fnmXN2+9g4uB2la8/tZb7GxtY5TChUC9mIOQLKxDa4VSmqaq6fX6dIoORZFzMulxdHLIpKpwIfDOnTs8eeMxLu9cQciI0YpLWxup/0YphFStnFOgtKKNaAYiOpNIZbBtoFiIqWeprmsQkGmTJGkyrdcG7yE6cpOxPdzg0rogy5PUxDtPXdt2NVfw+EMP8879u0y8R5mUSum8Z7FYUBQFvU6fqqlY1A17h4f4GCiN4dLGNkfjE7Juh43tHfbHx9y6/SZChpV0Tev/n/lEr8BCC3DPlrgTp5hengGCpV90Yqrb5rtWwbpkkOWKwl7x0DgRUS1IWiJjLVon5lbHsWR2l+Ac2tdidSS0wpM2YTBVfatQiSXIicttloA+rljnM9/q5XnTHnNrvbcE8i1aXv5UrnTQ7Y9i+nNikVMaoTgHyM/FjMe40k2vvDSWxx7PyPUljk8cbNJbStm6j7QFTlzdD85tmOhWpdSZPuSChguyDUVJnxna1YEgIhnQtAWTEgFPAttqyUrL5L0cJAgRiNEkkYxIDZleijSPhMArSRAKJVSSzQhDUDlRS6TI8aZEKp064XWGlgppktZUGJMa85QmLqPIBS1jfP5s0r1aNjum63o2y/iaV1/7L3+QvH+I7dwIkpNFzfO/9jrPPPsE166aP5RcdV0rAhUQiMERo8cHyWJW4mwgM1XS/dUa6QUqauog0NkCrQV23k3PC6UBTZk5Op0Zk0kBdSq+lBY0VXJisXUg+vQMyotA4x21r5JkgoAVDa6qU/GrY2JJokKIQL9T4tyEsNhHd66wfzjmqd1d/u3/+n/AI/nkP/gh/sjH/xim2039DUYnxih4IGJDQFjHF77wIv/z3/5fOHywl0ISYgJNacUkdYm4FiD7GAjWo2JkQSracqPwntaFpn3qxIiQAqUlTz60ze0vv8FcbzMY9KmOJ8kn3Vuk6hKqhkWYpVRTpcjynKauePutdzg8OaZ2FaVTFN0uMnqquqGpJgy2dqn3D0FovNY01ZwQHScHD7BNQ9nfvNC5sv14yfxO4OB2QzwOZCaDseeBfg4fFThYjGo2OgOUrOld7vLURzYJ+7+BvfYkv/xPX4dxQKoMrRruvXyfGx+/TOeKo+t6fKN5lt/qPcdoAqFb4rY1+Umg//6Ps569yW/9vd+g2Mq5+87r9PdOmBNgKqh7BnvpId73mOZ0fJvPPDdh/+UaLyMf+64bHM4FO++acXSrYXw0AS1pRhPqeUNzU9LUIKJmfBCYVpEgAwIDIeJspLtpODyZcW1dMyM1M8tliW7SSoFTEmcrhFQ4FEImhk8JQaYVjQB36rCZbK1pJT5aaJuYXeMQUvDhP/J+XvrCl5jN52hTcv1Sl5ebMUXWQVqLl5KI5do35dx/0fL0dw24+S9gsxOopMUHwAZsE4iqxAhDExpkJ+MD3xr59Z+t+IG//Y/40m97+C8vZp4URlLXgdPjI04npwRXo7ISpSSxSiszdb0gBM+dBxP2jg+o64aqXqC05mhy3K7weC7vXqJezGlsQwwe7yyXL+1ipGFrbYNA4OjkBB8jnTJJL5TWHJ4coTNNdDUIgVNw92CPwmTYpkFlBqMyttc3yZUiKMl4Grlz7x6ZMawP+jy0vct2f4g0ImnflaSbl0glyEtN8AHvI1rrllwEZ9OzpmkapARjcoSUjMcTjEmORFIKZJYhhcLK5PS0qGq0MUynU4ZrfWKMZJnB+2QFsJgt8DikVBilWVQ1zjucdawPh1y/fIWjoxFSSSazGSoKTNt86FzEeo/1FoFgoz/g8tYlmsZR5jnTyZRZnDCdjzF5RnCaK1e28cFh7eJiJskFjq8ftpKo1/SacwDt3K/3+YbCJUt63nFiCRpZShviUuJwtpus/buP7edIwcpIYAlO24aqtK1YkeOrz24BeggxAfTlcnm7v7OTSuhUqGWYSQukaXXY7XaSpG0WSwlJTNKJAKw8n9NHr0B8FD6BO9J5s2LTObuGJLY1Acp0TppUKCRHCNFyz+mcl24lUqSIbyU01kdEgCCSTVhs70tbC7C0u/MxpM/8qmt1MSO5aCicdETh0T7DS5C4tthJQJBlMyWk8BAh8UIRpEQITVSKoBRSGVCGqHKk0giliVmemmxUjs4VUpozdwqtwOhUcJ0jes8zxEmOdI4lbC/KebeX80OKC75oX2eswrpD5O6R42/9dz/Ii8//Ms7WfOcf+8t8/w/+pTY85A/XiI3AZxXOZRRCo3SNr3MapzEGorB0iwCuoQqCusmREppFCUGSGRBRUBhwnTTP6+k6RWZZCIVrNA5DcMmhxTYVzoLKU1ALQpC3ftg2BIyQzOcLCCSNe/CYLAOhkEpQ+DmToxPKzcCNx68S3/wKX/7sT/PmfsQ1c9554012Ll0lAp2iBGLLGKfniPWWX/2Vz3DvztuJwRUQfVx9H2XbF7AkAYxUeEKSBankmt80DiU0aEchBNMmsdgigo2aX3rhDR4bdrj9+pt4U/DYwxvcPTxkc3uXbr/L/fk96nqB9Q6T5UTvQAiqpuEf/8xPMigyglQ82L9Df2OTaT3FB0FwnqIsiUKBT0ENpycn+EuXkBFKfbHz73v/4qP8xN97g2MkG/kVvuXhv8B3f/dV/qP/6b+hEMn+LhJwM8UffeYyv/rZmzz/z7/I9o0N7uz8DnEaKfOCH/z738/nf+iIn3/+x1lMJ2xcqellPV4ZfRkpHYWSFFtd5qbh3U/sEo5eZ3i95qVBh8c6m8x9xWTsGfYLjjsFnRPBjaePufWFY/LrgpO7czrDAi97mN4ai8O3OdpzaAxmaPCVT89Ao/GLiAwO/i/23jxKtuQg7/xFxN1yz9qr3v5e73urW93aWkILCASIkbEWsMc2mmEkMQaNjX004piRfYzBw4CxMcsZEFgsthBIINC+0Wq1ULekXtRq9d5vr1f7kvvdI2L+iMyq1wJLnBkXgzQTf1VWZuW9mRV584svvgWf3rLgyBHL8jMFYaDAk5SFZdjNiIRi5mhIp5MRUMcXpSOxhEDIxKXOBwpROgmKFD5SW6TUICx5moLyCZs+1Uhih5o4N8wdb9LfKgnDnM6m5pGHv4LNLFpLVC2n2f4eWu0PkOYlQkkiH573AzN89ZMdkqHHYx8Y4VcNF5d9Gm1J5ahHZ8XSmLFIQogUojAUSnDvBwfMnPA49KoVVrYObp48de40SoX0BrsgDaHV+EVGvdKgWW8ACiUV/XhIYXN0Wbi+AU9glKG0JbNTC6RJTqfTJVQeFT/E8z2mGm2qfoXDhw6TJCPWNjZZ2d7EVy69RndLynG6lCk1UinCRoMsKRHClf80p9pkeU6cpKzubKKLEs/38ZSk3XayD6M1SZGyurmGxZnxqpUKOncZ0pMqcABjnKSkyF3xmEvy0vi+S9DJsgytDdYUKFkilXIyijG2SbOM7nBAVuTOk4FGCFeMVq1WAYGQCowlSwuIBL3hCCsseZ5RGEMtr1CvVhmXBBN5Po1GFSUEncGI0foAIQTNVgMlJZ1hHyk9BqMRWZ4RZzFplrAws8hwGOP7VYbdXaba327pHHtMNEzUzY7lLQFvfP84V3cvXWIMkMdyBGecG98j9pHz5dvRk5+9rwMtThYx1gdPtvkn8XJyL89j/CT7Wu3JZDFiooPeB+WXtwrug63L2HQ5iaobK9HGrjw51ja75qjLz32cIoIZM9/j92P8WidbunYsx5jUfovL/t4dy47Vv+6LdXIu7l9gCTzwpaDige95FIXGV5JRYYlzi7aOow8VaONerzECT42rzu3BNhZ60h3DCg9hFdpXOLlyRCojt0r2AowK0MpHeSG+50x3oafwJkUfXoj0PMc0+q60xUW3if2F2P67v8e2c9n7/PVSh7/q1nOf5W8fp2ssnL7Q4yd+9K10uusMBzFlrlG+4LP3vY/v//L3cced03tJNN8qI6wWSGEI/AwbgMVgjKDWGDFay2lEFqsrIDyMPUctLNC2xKt6xIFbfKWJ8wsEJsCTGcZ32lEThpS5BqVcOyUCqzUWjTGCQI7LCqxjq33ldiCKPCbPDeCjy5hKGGCxNFtHOHHlXXRXB2g/ogwWmXvBFCdu+C4O55aPvvc3mZmbGe9YWayUlIDSroAHW/KZe+7loYceRpfaGaRxi3VtBUpKJ0GRkKbZnn9CSahU6lQbDaQuiLOcQb/HtO/xjtdcS7cz4BfvXSYuCnRZ8sH7z7gdFixzc4tU6k2u8QzdpE88GjIzPcWg18NmljLLHatt3PXgox//OG/8vu/DBGBKgSddEUWj2abc3SIeJVRDRTLoUQl8irIkiCKCMKDSbB3oXPl373yK737rLOefWmemOuRt75rj3/za73Kieie/8M//Ce96989w662G02mLp+PTLN55iq3TK7zyda9i/uoVXvDGS/zRv17jvvs/wj945eu44fY38G9/+ze5661Nvu+O6/jU5x7kkWemEUVKvBHjnVxkuz1HunyWs49t4/dg54Z15q6sUAx8hrsDrpn3WC4znn9sjVbjap5c3UBVprj6eRV6Oxn4ms4wx/cE0XHDS/5eysd/KUQMU6wv8FKJVAovCim0Ye1ZjSwEqi1IugLjG6R2C6m652HyFBHkaGXxDVgduh0Fq5Amh9xSlAJyi/A0toQ8T/G0QtdyRBBhS4n2M259TcjOIwWXejHtpocQsHC0ycaFXazyyYc5f/a7H0QYD2UMQho8BA/82RCtfcqycIRYLAmqOSKso4eSartg8bYapmM45jV4dDVhdj6FxNKatZx9YJ6jC/mBzZOoEjEYxs6TIjzyOGVmts7S/GFq1RApXXLE+UvLYAxFkZNnKcqDIi0R0md3c52TR04wPdVibnYWow1qnDixO+hz+uJptnZ3EJ5CKNAY+sMBrUaTTncLKT2qURUNdHo9KmEV6zn/wmiUEEQRXgTDJKYoCmbqFZI4BQtHlg7RqFbIi4KFhXm01YyGMUmScPLIUcpS7/VDKFdnjJTjKAWhkIpx06nbofJ9HykUo1GMEILt7g5FWdKemnJyUmupV6vUZI0kiSkLje/7aGPpD4ZjuaGgNAWFLul1hyRFju/54CmSMqe/NaLqe5w6eoJICKq1GlGknAbc85iqNyi0xlhDVImI4xiLpj/oc+TwEZIsJhnGtKt15mfmsEj6wy6jeHBg8+SgxjcB0eNkaKHGTO0EbniXAZWxeWoP4EyKPybP4ZTDe48Xk5QJOTbViL8EesYPG7O1cnIDiWPHJ8SNxE0aOQHxE+Z6DOTlWDoo9kAwiPGq0d3huOWJzEKJSUauA556smiAiU9yHNvHGLzt67z3MrAnUgBjUErts6CMFwOXgbxJQ7UYu+5cqYgDdcoaSuPC+7yxcaQoS8oSpChdg53UKKWohxKj3QdbWFBj+tlTEs+zB5z860bRPIwfBChVcckUno/wXYybF/hjiYUPno9QztiFHGuh3VrtMoPnBBXvZ2JPOOPxHZfd2tfAw9eD7G+tYcdspNGG//gbn+AP3vNL9Ls9jDYuXlJIPK/GTc9/EbfdPos68P/qf/tRlhqvqrFGUGAJ/QI/6mJK11KYZxXs2G2gkGgdoa1GCZd0kWV2T+OHpxgOJKKmKE0I5M68VTia1lqPPC8psnGWvRFoa6h7ESYIwYBVkmyUkhcWKe1YAuF24L768GdI+13CZkCSlHzp4cd40xtewVPn1zl53Y1E9Rql2d+cC32fYrwdao2lt9vhnk99it2dXfK8cJtT45x6Tzqmu1KtEEVVtjbXQUr8IMRTLgu8FkVIr0XZ2cEaTa1ew69NcevJI8w/tMrywGCNwa/6FHmBUJLFpcPEuxvEg5g756c49uo38N4/+F20sRR5hl+pQzxwfgxjGA0z1re3ORFNU6Q9Al+is5x0OKAc9ggr04RhlfrUDFFUJWxOkacJBoiCgzUBefNVHv9yzk/e9c/5zw9+iDe++d/zd97+Bn773/8Il+6/m1V2MMOSaHGV2e2CEbu89h+/mZNX9zm3VdLOX8Fr33yJP/z1L/KppSd56d+d5l/+yut4x//yflaffIosqDJ1YgPNDF5wHQjNbjrE2+4xnJomtFskXY9ZY9lNBT/2ru/m7gch2LifD79fEbCF2IpJl4c80ImIZhQDdQb8Em1Dsg343O/EiFQytRSytVJQoGgstLB5ijFQegFIi8mq2LKLRqDzEq8toebRnA3JYoFncwpbRaORRoGvUFrhhwrP5pDW8IMAE+eEpSTPDCrwkDYHFfCWf1Ph4U9X2aCLDTziVFCdD9lYGSDwUFqjfQGegNLgRQJhQ8rS4GN55T8MuPu3uk6DKyU331lnXQ7Z/ZKHDSW3vyDnU78La9tbHLumydAOifspreOGt37Xa/jVD/3xgc2TO298Ht1uj93dHebn5plqtahWK0ghUcL5hTxvliOHFknSlKIs2drcRihBUeQEYUjkh0y1pwg8D+WFbO1skpcFO90Op1fOU5QleV4QBAFSuh3UuZl5hNVEUYO0P0JFCpNrmtNNdDxC1ZroLKPZaJCnmlZQQynIc0i7PVrNGp1OTD6VMMhzpqemaNVqRGFIluUUZYnnK9cAaAzWWJIkYTQaUW80HBtdFIRBiFQuKzwvCpQQCM+j2WygtWYpXCTNMnqjIUmWEoYh0lj8IGCmOYWnXBY0yiMrcowuKeOUOEvGplUXXVBYjS+dvCiMQtIspTPoU69VEKJw2M5CGAQ0q3XiJKbSqLuM6qkqWZ4jZxeYaU6xsp4w357h8KFDFEXJsxfOEXoeeZF983/437Lx15JzTBhZsWelc418e0arcZHIBIyOg4wdsLQTJnm8PW4tjMGq2oujG5v95P7WuxDj5A32NdZirAeUE0YX4RDjWDeKHJ/hmIG2Y2czWLRwsglXRDKRnoz1yWO2d0/3LdyW7KSC3GmeJwsDOzYH4rbWJizz+PZ4oYin1B6odysAxxh6QoxTJdw5eALGKoexv8jpOj3p0i0C6b5wW5EgLwX1iocSGl+6TGaJJC0N+GJPM2mtGG8RW3xP/I2ArcWrb0UEAdIbb0OriSGU58pu7ISd/7oneM4OhfjLd/ylnw9cofI3Pqy1jDLNT/zEz/LQFz5JkecIGVCtRtzx8lfwlh/9YW69/iqUr/cNr99iI1CCJFNYFJ5UaCMpiwBrPDwpsTIHoTClM31mRYmhREpDWKlQqNLJGDJJTYZ4fuwWw17ptiVlgRY5aB8rckodgywotYcKc5pBlVGZo6SlFAZRFAiRUa+7drkydgUiZRozVR8RVg3btSl2VzT/4p/dRdzp84v/+mfZ3O3z8lfexuc++znmZufc1q7RCErKAvI8YWq6xV0veymf+PSfEyc5aTJ0GuewSqPRYNDvYy2kqTMdWV1S5i5+0Qrwwwq+H9A8cpRCa7YGO/zFSsbSQLGdubgoLNSqdSqzdQb9LtVqxPZKRsUPuGd1i6mPfYjFo8fZ3dpm0Nul3pwmUQHGjtz1SkpOnz/PiRMzTC8eJwgew49C/MAnml1A+wFWWuJhn3azSTocUGQz+AqUONjryvTRgu6g4AH5Z/z0m67mxpe8jT9f+Q1e8wNv4soXG4rBOou1V/M93z/iI/efZm5F8se/83u86ScFnZHh6UGdlS+cIY1jhv2M+z48pO5nVOar5E04cnSBJx5I8f0aP/CaF/H0Y+/nmYuK3WFBFK+z+OYBuw8e5tSJRaKj5zh8m2b4yA6dfoAnNZnMmT/aoHmqxgtvPsnZpzs8vn2GbAvyUU4USooiQgYxuysh0qvTPtzAMx0Ka8h0SEhIKVNGoxHjiCGUV7J4qEJgDLKqUX3wpI8RLkkESorC4in3/VJoiMsYq6FRD0nyEjxNCfiBxBQF734XvPb7Z/nSep+qsEgtsHGJkDjyqJaz0K6zfiFFK4PvheNEjwJrBZ9+zy5zx6fo7fRRs5aNjTab5xO0cU2Jn/0vFa58vkXFR9k5s8NguwQt2fpawI995H3UFw8unSMejphtTzHbnsL3fYSUlEVJOU6QcAk8kkolohpFeJ7HdHPafV6lpCxziqJAa8NOv8eFtRU2O1t0+j2E9KiEAVJIfM9HSeVi2ipVAko2dntEUURlTpGLfJymUeDXQxKbUvV90mSAxlCWNWbCBjujHcpKxJFDV3HlKYswgjxNXfSm77ofPM9jMBzilR5loSlL93ryPMfzPFZWVlDKAWzfUySDAVEYEUYhRV4gLeP0KB9tDJEfUIsi4iShKEt83yfw/XHRnaBWrZIXJUZJOr0es60pjh45TJ67hUSapXR6PUoh8MKAOI7xfMXF1TUatSqH5g4hyTFaoEtNEAQURUGR5WijkUFEWRREUUScxlSCkCuOn3QLmbTPwtwcYeU4O9u7BzZPDmp8Y2OhZFxVPdlKt2PWlX3At9fmx77Ob6JhhstY133NtBGTSDaYyD+kUk4KMdZM78kgYI9pthMAxr5B0Uw+JExa2sZMt8JF2WH3wLsUOBbUTtKdJ7nQ7sVKaff/Zgz83RnaPdQ34UCllONGwf3XOAH/e+y4mBR2THKs3f3eZT8jjFs5IoCSmud01zVfMlUNCZRFa/bSPKzVThMaON2SH0jyTNEdacDge9KZPRCU4/gsayzC6r/mlPi/N0Sr5nTbf4VM57kP/FaEfgc7jFsFMogL3vh338rK+SeR0uPVr30d73zn25mbbaAmen3xVyVIf+sMnRkIDWXuIU1IPgqxJqQ0hopyEV5lWiGsDCC0+JURZeFDaYizjFotJwo0JrfYeIQqMwIj8APFTm+DsjGDUBlWZUCB0CUCjQHyQtHJYyLlo5S7dqTGko1ilyxjFcPhEF+5StxOf0RgNYNhxvE730ienCZsNam1IuK1HYo0Y7CzQ5amWJ3jeQG9forEUNcFjzzyFD//8z/PysVzSN93b4B1JQVpmlKaEhOPqFQqNBoN4niEkoqyLKhGFVq1Br7nsbK9yczUDM1Dh/nzL32Nm255HsL3mW1PU683aLVb5HnJ7PwcT587R7/TodFqU3ouG1YXmtFoRKPRpCgytCn2DIqlKdnY3GJza+R0k9IZmISBenuGVBsCv8JgMMT6IXg+1pNU6i1QB6uJvv6O63nwM49wTo14sKe4pf0oaxct6qpFLm4/w9Gb57n3M5+E9p3kPcm5rYRRInnfL0jqx31uf0XG/Q+v4ylJ1i8ZlDWuv/lNfOmZd+Nbn9OPDZCBoBJmvO/nfpVRdUjliIdYsFSiRWb7N9O+0ef2m4+yePEZHvqyxvhNhBjRaLTJEs2xw4ucXe/y6DMleRFw9bVTbKBZTbbwvSbDLKM6I0htyIte9jyefvxJhlslppSYSoyRYDKBLQuE0IQNxambqzx994grGlWkLjE6dP4X1+OK0hY9jkNVoiDw65SFS7vK4sRJ46QirAYkOxrP1wjgQx9YdqSOVRSiIBt5eMqgQ4tMQtbSBOtpTKwoTEnYEuQJeLLASkGhY+qLluNXaZ758nnKwmdqpk1vEGO6cO4LhnBuh5KY6XoDo0pK2+O6F1RpH6kc2DxJs5xuZ5mZ6emx6U5Qao3WdqwdTlFKEY7B3/T0NIOBS+QJQlcb3+12qdTrnL+0zLmt8zSbDWBs6i0N9XqDqalp8ixjd3eX1XhEveJz5NRRenFJoF13s/RChqmh5iva1Qqtep3NzjYnpxsk6ZBLpx+ksngrNkmJpEYmkClDVK3i+T5bm9t7ALQsy72ilDiOAYiqEWEY4vs+YRhSFAXGWJrNFkJK4tHIJdpY6HU7VCoudi6KInzPp90MEMZilFMauJx6t2seSUVQiRjEMbu9rsvL9z1mp6YR1rIwPUsvHnFhdRkDJJlmOOoh1jVoy9GlRbzAo1b1KIoSWXf4rchz19xqArZGu5gUan4A2mCM40FHwz5nz52j2Wwf2Dw5qPGNmWgx1g6LsfbXjtMMMAg5jq9DXKYzHkPMMa0qXeYce2rc8fPISWSd+yunFbRmz/AaCPkAACAASURBVID4HKZSTNhZsVdi4n7vfqfEPrBl0tonx1FrUqGcMhJfTQySEpR1GbOusoF93TfjApRJDonTO4u9410mKBCO9WbMYrv2F2cINGr8Guwk0UTsqa7tOFVjf/0g8KQl8gVTlWjcCmmJPOfU9z2XE22tSziRQqGNZpS7MgSbGBQQBorSQGlAWw3GnW/gCWoVD8Q3Xi/9Px07iWGmIvcWEv//eO74htF0xrCyU/DDP/AmBsNdnnfnS/jl//hztFsBeykyl2u//wbP+7/1sGWJqEg832n5dCHJCoMnnc4vHURoUrQJaYuQwtSZqzdd0URjGvwInaf4NUvRqLJ65in6ScZUq07S3UZFS1hfobUEozAGdOki7Xyr3ELcQik8Cg0CTb0aYLSkRPLwY08yU5/mT9/3fi5++T5CYZmamUHnf8EffeER+oOEmj/DS192giAsmT20yPlLK5RKUQy7XLhwgUarxelzl3jia18ljUc0Wy36/f440tJpFvM8QwpnZCxLQ1HGlNqSZzkIKLRG+j6jbISnBIsz8ywdOkq/KFleW2dhYQnlKaamZvB8H6NH5GVOCDTbbbez5ynCao3NzTWgxK/Ux8kDek9aZo0lSxIef+JJwqhKWSR4nkc4bl7TKAdAAh+TxE7jGDbJ05xA+Qc6V575whkOnaySVTb5xIXP89jvfY2bn38lz39pg0vLC8wdjtCXIt713T/EE4/u8KHNj/Pg1COUqSHZLvn4bzxIPs7WveW7vpfvPfoqfudXf42h5xEe9RhuXSASAcurOwRBybHj11Odn+LZC19hM9mgeX/CK3/kxZzzfpWd+Eae+ON7eNWP1hg9npLFPlXZ4rFn1+j3KrzoH97G1vqTPPDZC2Sxpn3qJHPA7jPb6Djk6usO88SDTzDa7KCFoRQec9WAfq/ACzzIS8pMcv1dM5RxhKidZ3M3Jy0DWjNzDAe7+HIKfz7C6JQi3cTKaXRQQ5sRQhp0AX4YUZQa5bvvJFOWFBrCwMN4grosyCOFNj5ZVmI8iU4yAmB6KaC3lXP4pgobpxPyfo6QHqWxLM6HGN/SvyA43/dJ+h7SL0nKjGpbEkaKoN5iMOgy1QipT4VoWyPu9uivZXQvHByILqymNTuNlQqrXPpEFIWUZUkYhugiQGtN4IeEUQWEoFKtYpLYxQpaS3t+ls2dbVqtKa5v1dnubEKW0Kq2qNcbztirLUmc0G62KOSQ6eoUxCnLf/YzNKvC7QwLj6Wlw+RlTrR4BWsm4rprn8/9H/5Nwqjk8DUvZPbYIqJ/htXdLjYwmNzQqNWJpXLV3UWBFRBFEUq5aM92uz2WYGmXDx1FGGNoNBpkWcZgOKQwml63i+/7lFrjKY8Ci7WGdFQAglpUcZXnaHq9LtoYdjtdms0mCkFuSkpr8H2P9c4OKvDAWKbrTSpRxGK1Si0MOb++ysrKJSr1iEG/y9m1C2AN7dYUjWaNRqNBqUuyPMdaS5KmBL6P8jyMLlFhgBHQ6/fQumRrdxPjWZ49/xjwsgObKwcxvomcY9+0JIQYNwaOdb+X1VRPWgYnYuU9eDxpF7QWMU5ZE+O4OHcAsZeQMTHj7bUN/hWM5h5As+zlIu/nGLifJ9F6SrDXBLivdbYOzFiXbMH4fJ5znDFr7cx/+4rm50ScCfYiptxtuScfceHQYwZf4Z5rLJq0OPnGvpTEvY9KCHJt2Ynd9pMnLVXfGQ4HaYEnHUuu0Dhe3Ek+LAJfClJrkIUBYfCEcLXGQrsvyMIySBIH+A9wfOJ3fpsb7/wObrr9WpS1Ln/5/wNjIuWZzBYHSgymNOwurzPsD2k2m/h+QGOpRVjxwZvMJyeo/cJDl3jH29+CLiy/8Mu/yne+/OY9Df/4KFxeJvStPPzAI858dGHxhSIIcjIb4oUlflYlFo41kn6CVAJZemSjEf44fqmzuY3VOTONAGtSppdOcnGk2Ni9RDnssTA9IqOO0Yo80ZRFjtGGWhPUMHALUlMivbHXQih8BUfabaY8SdqNSdafYWZulmN//80YCydPXsnOxcd5/dt+jFq9RZykVCshH/vge/juv/NGnn32LBsr66isz/bGLkF1mm6vS55orr32Ou6+527n3sddM1rNKTqDHkWRo1SAANcCaC3KdztySTxka3cHaQqqtSZBo8nZ1VW2VpdpNpsgJLsbG9SiKvVGHV26OSeEoN6oYfOMQZwx6OxSZgl+UCEKA+J4hDWF20WbuJWkpN2okWc5ralZGlFBmiTUKhW0Ntx66w0sLS2ydPIKbrriOKXOKYsExMGald/0dsUf/KecuFNF0eeph/oItcr0VJ3G7ICNrSkeX9nkje98B7/1k+8hyT7KzEKFQi7yPa/473jvxz/E4eY2G8NN/un3n+TmE9fw7OYtzL74OB//yB9hEogr8Lq3vIknHvs0g0sbXPrkM/gGhBGYesbh2SPc95/vwMyc5JqXpzx15nH8kzXiZZ9qvcKw73H8qilU9gDLT51lYalCohp01oYM8z6hHCFbIWfOnKfYTfAFSCVRaLbWnfHK6hyrS05efTVTLcOzO8tcdfIkL7rzZczNzHLs+BInrzxKfWqWfi/FFwayHjNLx7DK4wN/cj/3fuRTVOpP09vdQusMVQ0QuiSoBpAZ8CWqZgjtNN3ONkpaZOaEfqeOH2ant0O6mWETQdxNkaZ0IMzk+IVkfSNjqu2BBzY2VOo1yjiG0hK0PXwlKHo9Gq2QxVtTtr9a0t/ewiofvym56+WvObB50h8N2dzeotFoYLVmYXYeoVz/QlmW+FLh+wFFWe5fRrVhmCak/a5LIsH5mKamp+n1e1TCBrWgwXSzxW5nh0Ecc+zUCfyhpNFo4tMg3LiX1dNfptmoM4hzpK9phCF5kRFWIraXn2W3u81TX/wkhZeQbic0oojNJ+7m1OHrWJy9ksr0zWwbRYBkNBgR+D5R4GPMWN46LocKo8i1n5p8jIM8rHU+qU6n4zKfPVC+QvkKLV2pTpaOyMuSvMjJMs1Cu019aZ5GtUKrVQNtmWo2sdbSG/ZJOiOkH7Gb9RBSknbcoroz6lG1HkYIZlttFhcX2drdwRqfpcWTCAyrOzts7O5y6NAS+djUON2cptsdkIucll9nul0jKSwiN6RFQWk1ZWm55sS1fPaBu7EHvGN+EOMbgmhlxUT8PEHA7pq7lwgwAcxjRvcyScckgUKKfbPdBDzbMcBFME4X2JdYXB5HNwGse9KIsZlPSFfNfPljPDGpC5coofdb74BxArk7Fzk5FqhJ/MVl5QjPsbKNm/Yc2J2w0uPjyr1X485Num0yJ+XYh7oIp+V2CSYWzdjkNCYWbQnFWDNdjoPSSyNIx01hEpDCMXXue9/iS4E1jmVOyrEcRDjG3AhgXCmshHPzzkYB/gHHUcU7F/ny5z6JCWo8/+bDe+/8t9OYsMng5rcxFmOguzHkoU9+lktPPsRosEm/KCk1dAYj0qRE+5LSKipRwB3XnOKmO1/Lrd97M1bDp+99gl/5uZ+iWWnyR59+L82a923N5AvtPkV+YFClR2kV2BI/zBGeR5Ep/EhjcoWKIqbbimTzKYpejrWGhs558nSH5qkajek2fk1R9utuWzNNyGKPwjeoIKVS97EkBGFMnjTJ+7tYYymFRilBIBSeFZy7dIn/9KE/ZrCT0dvc5uVXtLj/sfswQJlnRNU2L7r2CF/44oOEzQo6zbjzBXeyeu5pLj35JTxTcsWRIyRZg1G/ikx3ef4NJ5hrN/jM5+4hL0p0WYBQNJst8rIgT1PHiJcFhdwnB9zOg0eeppw7/QRHjpwirBounTuLUB7zS0vsbm9TFLs0ag2KvGA4ShG4woJao4bVJcfnm+x0BvSUq0e32m1Zy8m1EKenVVIwOz3NLddfS+QbPN/n2lPX0Gq1QGsiz6MxNU+t1gIr0MKnVmuglI+SB8tEn/nzQ1z94l38dJcvfSqgNRWzfEair5sl6dzAP3jDbYyGH+biPTmHb6wwf9eQ5538exRrzzIYPchtp3yejWNe0vpHfPyB+xFhyOHvmOHIVAPh+ww2DDOz8PR99/LMwxvYvuHmu47w2F8sU1Jy8ZmMLz74F/jNXa6/Ypp7P79KtRJyx123c9o8yup6QhQKfvDOKr/y7kcJlcRMh0jZY8n3OLtRUltoI4xPnqcoVaLxCKoNRB5DUWJzR9yUxiMMFphqTvOzP/4WFpt1KtMzZDlIa5GBz3B3i4XFefKkpE9APNgh15ZXvewq3vD6F/H5+57mXT/1v5H1NdYorC1QgUJLFxCQxQV90aFV96nUAlZGQ6SwbPc6XLEQ8mRnQNiuMhwapAgoTYYWClEX+JlH2tNU5hQ6F4gixgsFVozQqkmvn9CYXWRlbQs+7yFsjaZn6A4zwsVFPvPZj8NP/+8HMk9qUYV2o0klCImT2DHRyhVn6cI1EE4qqieNymmeo6TEGkNnZ4u52Vlmp6fQ2tButCjzgpnZWfr9HrtpRj2qYIuIm2+4k8f/5J/R21kjKzIKU6FSjyiNpWIlu52eS8CxlkqlQr3eIggLVtcMy1tr5J/5HIsLLfxqnbYd8bW7f4tX/g+/x9m1swQqgixBG40SrvinFlZozE6BLSlLS6XqA844OopHDEYxazs7eL5PzY9ot9r0B31i4/TZeVYQBQGzMzMoJfGFYHN7l3q9TugHKOUWGEIIjrRrLMzNs7Wxg9EFQeAzXW3QTwb0h0NEtU6SZWxsb2KkoNPv0ay1GY6GzMy0iWMXf3dxdRWhLKN4yGMXnqJZaVKp1tCpApGzvruOTjM6gzm6/W0CVefY0ZO86oWvYnNz40DmyEGObwiirSeZVEyLy5Il9sxfdgLe1NgreJnhb0/8KvYUDxO9rBAT5m4CLvclDxMNtN4rSnScK8I185mx7laMAa0REl9MzIljtkeMC17Gr2OS0OHOhr3XsHe/dEd2x3ZlJ5PFwsR06CQfYk9GIifa7bEgXFoQGIx0KdNynLVgxiz8RFct7X6t9+TcGL8XkzPQgLAWJSyVwAeMq7wVYmwEACUExrpSGk85BhQEVlusKvFwOa5SaIwBc8ALPF8p4t3zfO2zH+baG/9nGt96Ecb/1THJ/TUGhoOMfn9Eb7PHxpknuHD6SYJqhTMbHW6541YWlOTOF76QmcUZrJEM+wPWzpzmwoUVEHDo8CEe+erDfPn/+DJPnn6S85cu0GrN8lu//24a9W+jN+2/MnwPV+gxDGiGHkYJpDSM+iGRKECUuEhUS5HFaDLq7Spl5gw3KmgTLneZXmgjmsexso5UfVd3jKuCNsJt4UpZUsQ58cji1zNso467AkgCz8MTFmk9zuyOuPDhP2dna4d2XbEe3cRCo46KAsIwoD21hBYpx0+cZHFpnt2dXYyscWhqjsHWGr6SPLyyDBbywS61epWnN07z1cfPcfaJr1HkBdZCs1ljNByR5SnGCtciJ9yC2BgXu2et8z0YC1mWcf78aa684kq0NgyHA+ZmZwhlwS3XXs36IKHbG1A3mmqzTZHndAZ95qZnyLKUF5+a5p6zfVJfkhtDNohxV0iz33poDcePLTHTqlL2B1SrNdbOn+PINXfgCY2hJO2soKymFoY0yoQ0lvhKUg0Ptl3sxVdfx/3xRSrVRf7Htw75nfdcQhUVXnHX9YS1E2z3PsnNN7yIk7M5L/+hH+KNP5ORqV1unXobx9RRnmCF9+3+Oj/8naf4P5/5JB95/EFOHPX4s3u/xMaja8hCwkLI4/ddIjwmeeWbb+PWa+5gYO7hqc9/jfmTN3F2eZZCWT79uQ6im9ELcvQjD6PXB/QzTbJt+KN7UurtgN3tEfr0Jq0rr+DSdoeg4ZHninqUkw1TokpIJATK88nLkDQvXGKRgbe+/cd5wQ1zPHTPp6gmW8jpNkG9jhzGrK6uEEhLff4wa2sb7FxaY2XrEl5vg2qzRe3QKUbDHrfdcIgPf/i3ef2P/BN6W8vYTCNVgJKQ9ocYQjJRkBpBv6+RykdisBVN4/YK4UaL//Cet/Pjf/8XKZTFzyR2TqCHlqiuKUtFtVpFtBVSeAx7BiV9irJLFPokyYj5Y21WTm+jVEKtHlEoy87GORavP7gkl/mZWYo0w/d9mrU6uS65uLnuZEmeR6NSw/d9dzsMXWqWgDTPaDaaHFpYohZV0FrT7XWxUnDs8BHWtjbZ6XW55cor0MajKjUP/pd/RGdXI5GoSptGYOl2+mijWN/pU69WyFWGkIZabYZut0teajbWznPdLTeS97bIgX6nx2hQ0Ot0Ob++Rmk0As12r0u326HMNTdedTXTU1NIZd05W0FR5ujSIkWIUh61SoWbrr4Gz1dk2ZAgCFhcPOJSYaXEKokwzreWZxlZZglrddJ4RJrlhEHAaDQkiiKKUlCr1liYn2N6ZppLq6uUumRxbpFqNCDTBRXPZ/74KXzfp9fpcP7SJQbxiNXVNY4fO06eZVTDCjudHXzfo9tP6JaaXq/P4vw8UcXj/KVHaTWW0B3NdmeTqfoC6blnmJ9bpDU9e2Dz5KDGN2aix1t9Yy75Mk3yBEziIuyEdY8WhknuhB2DRiEs1sqxFGR/i1oIpzyeZDk7IGnGccB2nIYhkcJeplzWeHsKkwnodrnNdgzM5R5pLp4DmIEJknfA3U7Mg2MQPAGzThXiTnNStqLUHkD/y9HSAiezdqUJikmROXtfVBOli7D7MpM9OYedsJr78hNrjGO3gaTUe7pv3xh8afCkR6CkK12RLibPWEE98lDCuG1hqZw2TjrwkRxsQy9+fRplFFmyw5c//1XuetlNBF8ny/l/b+zLcv5aj76McbZAr1vy6BcfYnXlLFjXWJUmJb4HlUqTTpHRbjb42iOPcfr0ef74Ax/i/KUVtDbMzU6zsr6JtIJqpcooizmysMSRI0scOTLPM+fO8/73/RZh+LfhfTr4oQtIUg8vyDBUGQ1KjPQQnqY7HBDOVsiMpl41bK/u0Dp8jCwrCTyFFJI4zRilJVLm6GwNqxpIGlSaARfP5rC8horqZFlKWaREQpCtnsGGgp3dwfgaZAh9SalLlLWc82JuO36I5y341JstJIa5KMfzSgJZIrM1yqxk2Nvl7LICaxicfQwvG/HFz97N1YdmMSKg0+8x324yjAfkWvLYM+dIytIl9fgehxYPce7CBbfQHS+G9yIdhVvohpFPlk3qvUHrgs2dTaqVGr6n8KXgjbedoOM16KSWvNhic6tPddBDlyVxnuJhOXVqkRPzEbdrxQPLPQYFpH5CEveeo8JwU10BDhh5oaJimu4aElRJB11CFSAw+FHoNI1BFb8xhTxgEH1f91FM9xAfeeRLvPD2BsOdEXe8+sXUaNDu9vjK7k1spQ+QrFzB2/7l9USLj3P2/DJrW09xYuEI9332Huxiyns//UHsySWuv+Ul3PPIuzk+9/0U33Md68/cjcwyTr26TZTnNJoLNHzF4RfugA256tgcX3r6bg73vpu88TDPf/0iX/18TnPpEufPWkSQc2TppKs8HvVozkwxdf0C/YFEV5oUo5Kit0PfSqSRCL9CnFvC7oAkKwiDGt/xyh/k2OE2t103RU2WzM+3+djnn+SlLw4pHvsi3vQJBqvPkhhLvd1luLOG9WIq9SViXbL17AVW7n2AW170PI6cuoGT117Lb//ST/GGH3o7SW7xdIIuwdqC2fkGo15CigHjMv2NSFhaaPDwR1NCv8m//eVf5w0/3uIP/kOH1IMGPiOtGQ4NKI+N5RFWW5RvqM556DTCRlD4mkAYhptdlLLYssR4Hl6haDeb2OHBaaLLssSPQmypKYtib0c8zVIgRKYJ4bgltDAaow1lnlOr1aj6bqHseR4T/8mzF8+R5xokGG1Y2dgkyjfpnf8kpvQolQFy5hvTrFxYY5j0qNRaZEmOsCWNaoN6WGFncwNDhfn5Gp8626FSX+eKaw6zubZLb5Dg1Xxq1SNUfYMpQ9I4platU4tq3Hjjlfi+IoxCtMkBiRSgvICkMJTa1YeHYegSuDxLFNQBMEYjlE+Rl2jjily0NnhhhFCW4bBPEicICyPA8zxXUpcJVvqbjLKEQmsurq2QpCmzjRZRpcJ2v89Cc4oLy5fcDvf0DLfdfDN5ljHMU9qNFoP+gK3ODnlZ4ssKh+dOsLg4T1bkjLopvqpxaOkqPCXZ2tpiduoQlbCGMTnLa6d5+syI73vpDQc2Vw5ifOOcaOUSKBQKc1lL30SaYeXE7LRvxJPj3+1rOsWEaN4rN3FRcoyB+D44neh2tZCMiW0EEMgJ/lXPkVwA47g585wM5v265okxcg+578k/ENKlj+DkFmZiohwfdF+2Iff00YpJwPmYNxbjAsTxl+EksUNMjiUmzPc+hBN7MhNneJx4NcU4Mkoi8H1niPTGZTXBuBRCSkEgoTTGJW9IMa6FNgSeIs01YpwcgnUtWUlhxkc6WJDmcL+giFO+ds+f4IchL3nB1eMUlr8ZgDj5/ztgsM+0TcQ6k8WTHW+dT7ZI9gtznAk2GbqijtPPLnP/Zx8gy1ZclXRWkiQJvu+RZQV5kbO6+iTD4YhGo86LXvA8XvvqVyIDjw/+6cfo9kecuXAeKSSbmztovY3ve/T7A548/SxT7SY/9c5/RRjs+wu+3Ud/Z5sjC0fBhFy6cIa5mRmmVERRFFy4dJEl6eIbzXZG0onprVwiqM8gm655rNAj5g9rVrcTvEgzWj/D+rkuYjQg6+7QGXwR5QcUhaHVrEFZsP70GkeW5pj1A3xpEdIiPUkoDX4uOPX0GrdeW+HKq48xs7iACqsoP6Q5PYtSPhudLvPTLYSIKMoc349QSmKMZmVjlcW5Qwgp2d7dYmZqhiLNGSQJH/zCoy531WoaQZXFxSNsbKyT5QVWm8sM2wbl+SilAIHyAoRN0dZlOeu8gIrF9yTXHZ7l9ivqPNoBT/XwAYSlEgXkuSAKA5TvcX6rz/J0yM0nZ9gY5Ty8vIMf+mgdUWQZVkm0cdewnd0OnrCUOqVWqbOzeRZrNZVqm3RtmcK4a07gByS9HrXWIsJA4B+sWblVV0RDzUvtC7jv/i+zeHKJrTNn+P3zX+GqK9scqrXxkpJUfIVq5aXc8xePMn3pdo7e+gIqUxWmby15mX0nz165wz3nfo/3/+YfsK52ePu/+kH+8AsfRwTHWX7mEoePXc0TH3+cC2v3cM/wHm56/cuoHvsst90xw0tb/44ZT/JYcYz3fvSj+DrjqtotrLXOYPUI66XM1WqoK2aohBnnnlnhh//7f8rrvvNlvOVt/xOdwKPs9qmIqkuUGeUcvn6a1WXLv/jpdyDyEVtbq/zue/6U66+7EmEM3UHI3Q+e5fxDX+DEVYc4tFTlxLUvoRE1yMuMULXwbELRXKTYehohSx794v0MO110OuD6F3wHP/W//mM+9unP85VHHiSPc5QXMNwdIj2B7/lkWQaqoFqtcWk1Q6Q+Zdbl/H2KlQcTXvjjAff/mmHYzRCexPfD8ZyVaKvRpSHdKbEyww89VN2jfyGlsCAihbQC1RoRorB5SD4aHtg8qXrOOFhvNOmMBqRJypGFJQaDAUopPASXNtbJtMZXHp7vU6mEbK93abXbzJYNPN+nOxgQ54lLvdAJKtBUmxH1IoaLn+Dc8iqVRoOldoWs8OhurlGJwBqfJx59nEGScer4IZonD9OeaZOkAR+7+15WNjcZDi39+x5jYbZNGPrESUI9qLDeG3Hhqc8Tzt7E4vQsHpYrr7mWRjPEGEtZFIyGJVEFwki671mVu0ZWIcizlLIQNJpVUIZSa4pSU8QFUjm0VBaW0TCj29smyxPCaki1XqMeRrSaVYxxAC3JUuJezGNnnkZoTQE0Gi2GhWR7sIkQiotbqwSBpFWd59lzl7ji5FGKOKbT69JrxNTDgDgZkaQx9UaDI4cOk8UJnU6Per3OudVnGKUppnS144GvHJmhfFrNWQTferux3/QqKBi3Bu5TyDiAYi+76QDjHn83SRNgwgiLy/jZ/aeYZESPxQ57OmcnH7Z7x5+wzpfDjOdINL4utUBMzIE8F8DJyTmOj++GHRPr+8d2i4Bv5uUS+8Lmy+Qhe88/eZ3PCSQbI7exT8wCxrgUE2ucfllJF/niS4UcLw5AkBsLxjDUFqzG2DGwl+BJSWYMnpL4yuJJSWn1OGNbUpQGc8DGNCElnu+BKRGez/KjX2Jw+zU0vb/cIHiQY8LsWSsptSWNDbudmNDzCCo+WZYzHBZkacIoSZmZajO30KDR8BHWsNtJ+cgffoQ8yxkNd+gPO6ysrSGFx5VXnEBKSb8/cI2KCOIkQXqSN73+tbz4rhfx6U/ezQc+9DF2u11qUYWVtS1GoxHKUxRFidYGH9fIOBiMCIPW/irLfpMX920w4mGXvCjJM8fa7G4sY63AU5Z6FNLfWEF50sUrCZ9RL2fh6hsRwm0HTzU0fm2OpL+CtIbWbIPrt+5DTdfpNpeoN6oYAgptmZ5doChyzq9c4tqrr3ef06d3yMuMQPn4Y03wdCWg2awRNRp4lRoyqOEHIUIFCOXhBT4WH4TFKuVKkYTb7fFClzurjQYpnadDKdI44eylNXSpEUiSosALgvEOnXVyM6UQQmHKnP06eovRpUsXGu9SlboEJPVmk8V2RFgPWT+zySiJWZhtEw+GNCsBqhGx2xliTUkvhp1CclUUEUrwhSXJCoQ1e2lJQghHPhhDaS25MUilqDerYEFb8MMqqlLFILFS0c1zKkYjPXX5vtyBDCOn2JKXOHLyZqbSWTxqRJHh6MLt3HLqKh567PeZb0YceeEU93/lizS8m/muxZfTmDZcSjYYTeXcccUSRTjAPBqzsbuNXmiyu/Usx2eqPH6fYWZugbMX1zGeReSaYTfFbFygNtXmSw+u8o5XXc9XH72X4pKhbF9Nq93hyY1p6g1LtvMYA1OwurxMY36BLM5Queamkw2+8OAnGMRdPCkJqxFpbslHGcoLuXh6k+94hiVCswAAIABJREFU1RtJhilf/eKTnDt/lq31FQ4tHKbaruC1fAbJNnlZkvUG5IuHOfPUJU5cdRSiKbrrT9FqB3gUNJseaJ/eVh9p4v+LvDcPkuy47/w+mfmuuru7+pzpuTEzwOAaXARIkCIkrSRekmjSq4MrWqIYoZU3HOuwQ3aEI3ZD4d2wvKbtWFs219J6raCsgxQlHpLAEyQWBEGCwAAYYO6ze7pn+u6uu169KzP9x6vqGSq8orWr2bBWv4iJ7qmufv2qIivzm9/8/r5fVpcWOHj8Ye45coS5t86yWK6w1t8hQJEYDXGE8vKTXpUpXE+TaYdMabJEYnSGtor110OEriBFhhTkn1fhUpxx6W9nCOGBlqggp5estJQrFdo7LYxyEJ5ADFJK1Qo6ySVVd6scxyFN093vfd/HWkuWZXieh6Oc/PFCgNYaYzRxHDNZr2MyTRgNqAU+QghSo+n1+2A9ZFahZEPGVJc3V1YRwmV1ZZM9U1O4vkO1WmZ7p8Xa6gaVsRrFMcneffNEScb5azcRMqBQLlJPa2yu3MQvWgLfJ0xCqvUpPOWxb24CZT3mZmZxkDgYpBSkSYbruRib0ul0UKqM4zp4XoByJCbLpWBpmtLr9ShXAiAnGn1f4Th530eaanRm8TyX+fk5wnhAr9/L17fMUCp4uF4uZcEKXNfDdwKEStFJSpLE+H5OygmpkFKRJBkdswPG0mg1KAcFxibrGCsIggJ7Z+eoj40jpMQVCq0ULoJsGAwzJmusrN7AUQ6bW5tMjM9QqVR2+4z+ptUPSCy0yFzQu1u3m+7yKJJRDPeIIUbeIc8YOnEIYYeyBTlM1VNYoYdphPn1NHd6DOs8Q8WK3MGD3dRnRtrkEaNshxKN4Q0DIxZ8mGQnQJrRdSwuedgJwuxKPXblgdhdNbOQu6+UUVQ3Qz53Vzpi86jfoWo7P24ZMp9K5Ay8JwUZoM2IWR664dmcWZbKySN4LfkCbCxxqknFMF7cjLTYQy21sEjp5jpwlcdte8pBmwzpKMKwj84gqJYxmckBy78HEK1kbsklsgidaHrNDb7+h5/mPT//c5Q9c0cz6l+hhqyxNRqEIssMgzgjCsHYDIxFZ4Z+N6Td7tFtNWhub9HvNuj323S7fbzAo1IugcjtnpTK7dWstiRpgiF/z5qNNgaF1jEr6+s4QjKIIqYnJ5mZmaFSLrOxtY3rKEqlEq1mi0arTZwkfOzv/QzvfOoJfv2//R/4w89/CQW4rss9hw/gOwp/rEqnH+Joje+6SCGolIqUCiUO3Hso/9z8zZs7/q1q//g41XKZwWBAsVRGKMlWY5vpyVmsELR3GozVq1griKKYoFpByPwoOJ9kNVYogqCKqwSbG6tsb7aZnS9RrdeplEto62OEQ6FcxM0y9hfLBFNzaGP44fn76DV2eHi2TP/RAN86PDgxy+H7DzPxxJM4jZu40wfRCxs0e7cwKkX1MwgypB9gsgwjcl9VIwVRmjCyHxzEuQtOGEVcXFyj3evh+QFCpqRJwtKNa4yPj7G2sYXreihHgbEYR4EQQ+u7NH+NuySDwPNcHGGYrNd59Mg0se/SjG4xVpvk+L3HOPPmaTrtBsorEFtL1GnjBEVC7RAaxeG6x9l1B9fRGKtwlCTVIDF4Xp4q2s5ABGWUY3nw5GMgFGnYQTmSQq2K6zk4nsfeAweI4hjX8XCcuzunlGdanLs4iT5ygeSbW9xcvIH2PQ7fa5ibUDz0xI8w5kxy6sybzFTvZyl8kwsHTnHinoSx4jEOuI/w+Re/wP/5yoskURchHB5+90F+45P/E3G7yy8ceC8vBqcwcZed1TaJcSiVPSrBGCfvH2dzNWF95zI906d2osRPywO8+HKPpbUXOfrQFInjc+t8D7/mg2twixKjY379f/ynjBUCTCYQxpJYmKw4FA/u5djek9xzZD+HZkssrKxydeEaS8vLpHGIP1bn/ocP8S9+67M01xc5eXyMGytNxuYshUnN9tYS/X4Bz7TotRLKVY92NyLs9gk7XdbXbzERa1aunOLEO36Cj/ofoLlxjZ/6yWfY3BZ86St/hkAhCoKC65ClhrBjcVwPQYJQFkf6aN3h1rcdDj5tufGaT2pilDU4QYYNA+pzPu31DK/scvj4IZZuLWFTS7vXJDMZc/sCMp1i0zF6jR5WSdL+3RsrURLjeC6Z0YyVK3kwidb4k1PEcUyr32VmvI7j5RZrjnKI0pgszVDKITWGfhLRDvukOgMlCaM+0+UqY4HE21jkve//Gc6/9SZ26QauI0njCGEh8F1m98xza2uLmbk51re3WLWC2XseIWyuceTIAWxygHq5wsRkjWarQZYmRFHEA/c/yo3FC/SdKZ585j9CDF2+0jQBFMZI0iRhds8EjhJkOibNEoQQOG4u2xgbL1OuBBhjGQwipMznEccF31e5Dj/I0NqSJkmukRc1tM3AQJpZHNcOT9IFJrOUghKN1hbxIGLQD5GqSbk6Thh28TwfgSJM+oDg2vIC9bE6gzgiDiPGS2WOHTtGmIbEUUgWZVTKJY4fOka716Req9FoNZmfnmOjuU3YD2k2NxkMIkqlIuVy9a6Nk7tVP8AnetTdBwzBsLG39cMjAD0KYbFYhFRgbj9mRvpmK4dOE0MwJdSu7OE2yzx6bo5+5ciW+i+yzneyy38hSnv3PkYgGsARjNyqLXLYDJn/DYEdBSwOHT5ymzo71CsP/zyCHCRLkbsLSCxGDjcSQxzvKYsSgpLnUPAEmYYoTcHmyWAjbbTWt5sUtdUMyWaMBaREDePWQSCcke2fBDl0sLYCJQ1SgnIl3e4mlcoEcRyzunyNU6f/mOnZE8zNHuLI8Sfx3dtJk3erZNrHc4pkVpLFbdyyRxp2ePWbL/Lu97yb0QbkB7HSechhLvGxRnLt2haXz10lDbfo9ZpYYfGUizF695ra3pliKem0W7R7PYpBgSRJaG0PqHoOvnBQvktvEJFpgV8sEYd9jDbsnZsjSRLiJKZULNDt53ZDS7dW2Go0OHRgf24/6Dgs3lhiMIjypCo/4PD+vXzu88/ymS98CbDEWpMazcXL13A8lwfvPU4crZHJPCGsWCpQLhWYqNWYmysP7/tvRxXHJpGBi+e4OSiVYJQLrosQkEmwnp+PgSgGOewy2O1zyDedNktJYk2722OQeSSJJtUZxaKln0ZoI1GOQ5Qk9Lc7TJ3o46lZPlQ7hLi2F+oaHnxmaHkDjKXYvRMwtoAwHaJzrzOzZw9yYhIbSJ6/eYZMaKyWKCdnpdPUkOqEzU5MoVgC6XKt3aXTzTh1dYGdnRZRHDE+MUXPNNnY2MD3Ao7fc5Sl5WXcQgBG5KA2jdHa5q/N2txezGY5y61TBFDC4HkexVqNQ3tnOXnPE3RbIVZ5TEzuQUqHLE0JBxFYy1Y3pBuN4bs+477EVEp0e1k+fw2lJKVybuMlDOg4wpWKhcVF7n1whm5nhyTJ57c0TXJCRUKSJijXwVF3VxNdrl7gqccf4s++tcjeow+yuXWeib3z3P+2Gb7xwgvUpsdRosu+I3PsG9eUz5W5taj52svnmSxdp2ZmqMyEPP74ONX6PYx78Nz5JSoVTdYs8M3kFBurLca0wJlyiZY1lSMBzfY1rr4xTl8n/OM/+e+496GjnJyp8Jl//hLV/RMc3/8oZ0+/zsRkrnUeLGfUH9C0ViM8P+Bdlfu5urEA/RQdRiSFMhvdDpNOmR//+FNsXz7Dp//kJW6tbtJoNOh2OszsP0a1WufFf/0qy5cvMLe3yrgnmd43zo2FtzgQPEIcF6m4XSrVWQoFjZet4bnjXG2s0mgldPUme+slGktvcN1XTO+7lw+8/ycYpII/+8JnsFmGtQ6imVI/LNi4LPDKRYxJeODtJS691kNmFn+siJta1q6nBJ7CK3gIdwxjYra3EuIwb14fDCS31ldxq/lJqiwpRFtTKtZZvbmKCiOqZYfWoMu9Dx+4a+PE9Twc18VRCmNMvhlN0921ZnZmBptkAAgliOP8JMrEuZXj5OwMYTRAa40jFQXHY6MbE8gWVXGTjeZ1zHqZbrfN5OwU16+eZ2ZmL+feOs/03F7anT6Ocmlu7hD2Q/YfOcrGzWWO7R8nHgyoTRQ4vO8hri+vsXh1Ccd1cBzBhctnCVOHnesXKAQKpTys1ZQrJbQGrMTzC6ihXV/BcfNwFA2CDK3BmAzHkWSZRgoXKfIkaKUkWguMSRBCYkyK5+fhKULmmCSODGHYw3EEjptff256ik6vh+c7VIfNyks3b9DpdHJ3sTjNGxqLNeIsQ3nQ6rSwUpLaDFkIeOvKJcIot7hLs5SJUpmj+w9hUouVgrHqBEp6RImg11nA8yX1+ji9bp9+L7xr4+Ru1V8u5xC37eXsUPag5IiJBnbBq9htFLQIhMqBsBUj14rcIm7Xj2MoahYItLC5XOSOpkOpcp2gGQJmKe5o+LsDLMNQXz0SXeePDG3z7gD2w+fnSYtmN7Y7B9s5FHOG+mRlc2Y6dwTJ72OX1cYOJSd5F6BDbjenFLgSfEehRM7IiyFrXCl4pMZitcURgsxatBJYY0eXJjG5i8coLXH05uvhY0qAoySBhHbvFgKfsfEpsDHXLp3itZd/h/lDx4nbNSLTp17fw6XX/oT1CY8nHv8caWrZWL0IPPrXMGT+36tSP0CWxaSZIE4GtNY38OZLbF4/yx/+75d4+u/+AodnS/9GsGhtrs/EwNZWyHdfeInt9Zso15JlGmsMSjlICd0wRO0mRlp0poda9BwQKUcwPTWJ6znYOKbVarK9vUlndY12GCIqZZygwER9mkK5SiHw6fV6+fGT55AZw+REnRvLy0xOjGONwVEKPBdrLPv37mX51i2Uo3B9l6WVNb72re9gjUEbu8ugp9Zg45S3zl3k0Ufu576jR3j+pZeZqU/g+z71mUME7m3bxL8N1en3KasyURLTzzL6UcKt9W06YYZ0HTqtNh0tyLQlHrQphZpD46PP+yjC1yHMNFkakSUR33jzPI9zP7MHZkgSjV+oUC6V2Ox0KZcL1GeOoNRJhHQxhQybvYHs9UFbrNZACrdiWFwiubxIe3EbKhXUIMNZbZAUPB77sad3N96jM6q8/8KAHe7CraDdG/CP/sF/w9mzZ0l1ilQOURxSKFZIkoRe2KPZ6nDw0CE21tep1GoYBM3GDkqB47qIKN+tSyFwMJTLY0zWasyWNb7vMT41jZQ3uHrpCtvtNhLJQIMyEV6hht/tIoym0xvQTw2NRocTU0Uudj36YZ+CF9AbDJBKgdVcv7VCdXKMzILnB8zP7gOTkfUHCK9Apk1+DG4zVla3GK/PYNNkGE179+p7z02z2VrmvplH+UjpHXxiz4DCrOa1b73B3P638YEf/yAXb36b8fIawcZhPvqLv8L18TWOXn6Dt64vIOVrvHpa8sw7fporV77Jc9/bwKqMytEi9z7Vo3kFConk+H0zvHTxGg/95DHWNm/y7TOSA4cXeN8Pv43GomaQrfKJT9xi/8kyP+K+nea+Fzn7usMgkJhYUJyCQUMTlErEUnAhPctKL8atTBPrXHKnjeVXP/YLzNQrnO9Z4ixlZXUba1I8v0ip6NFv7fDSt54nTmLqRY/USsJmj8nJAv3VS/iVEpGs0Q9TxksZQmRE3UVOPnyUC9e3GWz3WLp6k2KpyK1r5/E8l+MnTvDqG8v8y0/9H7x27hxf+uIfce3KZRorhkGYUa1YjNZcemGHfqYJ/CI16fH4h0+g1GG+/Id/zvt+NuCL/6qNdHyqYwHddoLNEqpTPoVxA94ccWuTvQcl3aDMztYmxcI0laJgu7GOVT7n39y8a+Ok0W5hhnN0qVDMmVilcp10qZRLJj0PKQTKVXkiYJLhVSrMTk+zsr5OPww5MD9PyfdBCg4e2CTcWKR1/rssLC6jTYGN9Z1hwNFetFW85wM/yenTZ6lN1gl6A1745qs88uRDREkIWHphyMzUHIE0YGKE1tx37/1cX7rBZiiYKzjMuUX+89/4l9zq5oDUU2p3hsnSnHTRJstfgyHfXCca13NQbp62OMIMlUqJKIrzcJVQYzEUAheEwHE8TJa7/lSqAcJYbMXFCoOrADIyIwjDkEEY0up3WV/bxPd9Wq1tCCyuLNFubZPoAeOVWZI0BRTlQpkwHlCslljf2sLxXHZ2tvF9n0K5yGZ3i8GVPgemD2KVYBDHJMmAJAsZRCGdfhvXLVMslJiamrlr4+Ru1V/uzjHUUIwY4xGYzNvfvn/xt8PGQzHU/O36PY8YpBF7zZAtHno+O4AVMs8oGZn/A7kzx/DiI4mIzMHn7oI6XGju9F7Y1SEPddG5PCO/N5VfFr0rLxne0W6n4/ACQzA9pNR3JSf5wjk8YnVyIC5MzhjHBgZxhrK593T+3uUWgAxjwPVwuGtrcgBo7G5UtiFvEsyPrM0Q8As8Z8gY+ZIv/Kt/RizWKJdc2s0tHn3qw5x6/itMzh5k62YTK7us3DjN3PQDVMozlGpVlq69TBILLl0/DR+4eyA6BzcBQSHCdfaSZWHuxVuo4JuI7/zR75D+zMc4Plfele2MGEbIGxPPn7nJq9/+Jmkakkt6XMLeACUlSjpo3UeIYaxrliGVQxwnuI7Ac1wM5M0vSqKkZm99kt52l3Z3k0Gjh3QDpg7sY+7gHhSC5cXL9GweduM4DmEcUXQKVEoBaWqY3zNHvx/iei5nz1/E9xwc1+PQ/nmEkMRJTBwn9Pshr77+FgiJIduNmbdAKvJkydNvXWBp+Ra/9JGf5cbyDaYmp3j8x37u36te/P8PVdszByiK1THAUBGC+p49BEEhP3vZ1WkZtE5QQu2eNo2E41IqdJais4xMwPF7D3L4xCGmpmdxCz5SevhBiYk9e7EokAWEKqKTmHBnmXKhih4ITKuBODyJ0RonVdjpCZxH3oNstQjDNue+/CVa186gJiaZOzzFrk+8yJkha0DbDN/10NoSRQP+l0/+ARfOn6Xf6+VzlpLEg5hSvbI7d7Y6LbTRHDp8jMbWFkkcYUxKlqVImcc3Z2mK77r4juTI3nne++AcftwljROuXLxBtTrOzeUt4l6LlaVr1Go1kiyj3W2xb99Buq0WhVKRMFX0s4xje8d59dYq8aBHmqVIOSQ+lMPExDiOgJvLq0zMHqLb7jLuTqEKAf1enM9TUiKVZKIS4AdFSmP170+QvQt1YGKGeqmLHvT5xMJnSKxLoWu5eTbmYx/7ceq1BhPNChuvhTwYxPxfL/0uzfKbLC92aUcxjU7Mf/2rP0zqXOX8pVv80Dvexdt//BBXlld58buv0OsMqJfKLK4pzIEZ+mvbdBuKcj2huaz59KeuUt7b4MamZeb4FFFb8mrpLAfP3U9tahGjE6TXZc+x/WzeXMU0+wxuaeKSRQkfk4AvHfqtNpWKz+GxIl/8zJ9w6vQ5RGkWR8TESlIseejE8JWvfhWdCQpFn33TFQJf4QuHlZUuwUSJ+doEHn0sZWTBwZM11m+ssFJKePvjB/nT58+x3k6ZbDQYN31uLhY4dnKGp59+iIXlW6xc32J7s4eYThgsKCSKQjGjnTooX1Kq+ChXsb3e5KVnLxPH58FYPv/JJhRcPE/TbyWUa4puK8BXDior0290UOUiOupRrJUYdErE/S26lRJxqnjiqXdy+rtn7to4KRQKdDptfD8nQxzHYXJyEqkU2VA7rLOMzFpIctItGsSUSh7GamqVIocO7MP1LUUH+pGi5nh88YU/YGJmlqWbW0xOzRAbxVytCjJloj7LhWuXkUGZTq/DzvY2FBx6cYzpl6iPBeAorl25gus7uEoxWZ/l6vWrPPnkSTITs7q6RZSl/KcffR+f+P0XkVqiAouyktRCJJJhj4OgGAQgDJHJyLKUUhVAYLSh04kJAp84amNEjPLyTYTFIlSB3vYmpfEqRjhIIpKBJVYJgdT4jqHke3RaHWSakjV3OH5glmYywU7X0O2FHB0rc+bimzRMzMn7HuXGyiJrjRsEBR+PEq1uP5eStjUH9h5ivbnB5HQdYyxCuFRqVXSa0s8iPFkk1TCIUiySsdokAxvT7GzQDwPiNLpr4+Ru1Q9ILLzN+uba4dGx6mgxuT2JCjEyt7vt8TxigncXwREYHXYh7ib+jS4w+nY3fGD48zvltHKY5GNv35ewOv+l4SKrhsCaIfstrECK20fmI9aZIcCWQ92GGYLk3LNjCKCHDOnIEWT0L8mGthwjpt6KYVhhDoalyR08lLW7zia5JGT4FYZNgeTpUUJizBBoOwolFZ6rSMNtvKBK0tmhuXOBSsXj5vJltAm4cf4l4mibhWtnePLJj/DKd75CFndpupuUK7NsLl7lm/1PEoceDx19919xaPzVKk0jMFD0CyQqhUSQJintZpNSrcZYrcCrn/995n71V6kpGKnrW82YSxducvb154n6PaSSJPEAbSBKIsbKFYyV9HttlOtS9BUGjVT+MN41QCiHwHOI4hhjDcJqwpVV1pMM0+9y8cz3SJK8QTZZW2WgBwTlCqoySbWUM4SZ1gghWNvYYGysirUQ+AGOo1hZ3eDB+09gtGa72aAfRtTGKggUq+tr3FrbJAh8Wt3u9zu0DFPhhHJI0oT1jS0+9enP8o63PUqSas6+9BzvfvvH8Rz5l721/0GVV5gEARq7+5H3Td4UtCu5sgYhHZRwsELmm8rvS0+VQ+9ly/33PsCxE+8iTTXGahIEWZrQ7w838gKsCdHbF8AaHKkIqw62XEEcqGGFQGuNGwSkUcjOjXXefPV7nP7e9yj7LqmBZOEq9revEwQ+URznxLMZWtQZiOOEYqXM5eVtXn/zLeIozSO9yYG1kpJur0u5XMEajeMEdLptFhavcHD+EM3GDq6XO5SkaQo293+XwiJcF4HmoeNTjLtjbPYFpWqFCQlyaY2y7/DAw0+xeOMi0neYL87TbTXxCiUG3Q5LWz6z9b0sbLfQBtJU59G+2qCMIUti0swiZUChWCZwBEmU4TgubrGCM2iQxDFpkqCG8jOdZThecXfevFtVffQ0c/o/ZrC6wC88+t/zm7/3j9gpFzjyoxN0tl/h7NJpup0neP977iPtJqxefZWBOcfeg4/hbzapzRzi83/+HVq6x3TwBNXpkM/+2fN04wzhjuOUUirVmJvNTcZrLt70YzzzhM8b557jP/nZf4yqRvzmJ/+APcda1MyA1lmXarHIWxtL9Ac7tJcy3KqDayxmKSaRGYW5A0gV0l3cZG6Pw5M/+WFWr13m3e9+O6uNLV49s0yzGdJfOY90JCU80oHBVEK6Yczc3n3sbK3h+i69bo9KtUR9T52kv83OrWX86SP4epPB5iaViQmKE+NgNTPzkww6lk0/Zmd1jWQwxk7vOu1YcfKpd3Pf8QPcuLaAL6FzTaFNipAemxuasckKwZTBH/MJU8n4/nF2tjKEUTiFhIJbQRRcsi4UawOygeYdjx2hM+gRNgcoJyXtKhpOgOvEuAOLLyVoH091WFq+QhD079o4mRyrMj87TZIkCKHo9fpDq7t8gun1e5SKJQLfRwqB7/tUqime72C0oRBUcVxN4IPQEs9P+af/4O+xZz5vICxWx1nbatHtdFm8do6jR4/RHwgazR5ZptDpAL80yaHjAXMH9lAtlEhtxqDR5Nh9R9Bpiqs8mttrzM7OsrSyQpyGGF3mnv0TXL91nYWrr7Nn30kCqchEksvRlKI+USMMY1xHoLWk0x3gKJewn8tTpBAEBZ9mp4e0lsD1qHhlktYtdCoYuC1ee/73EP4B3vGBD+F4Af1uStEWKAYxf/7p3+ZPP/WbbG910VaRpiGD2DI7N0E/DXn8yR/ixDs+yJGxvDHQCdeJoh5lf4ysdRNnuo60CmsspUqN1bUFpOfjOBUEgijusL69gpSSsN/BcwOEUMxP70PrlNRmZGnMTrpBnPbY2r57Li53q36AxV2u+bVDFCnMbVaWoaZOjLrI7/CTVnBbmiFzRJ17OOfXsUMfY2O/fxKWo2vsNgrmXxS5n3T+HIYAfAiQR8z40CBaITEid5bOo7nvbErMQbIZ3r+CPKRk1JBo8wY4wbChbchoS3E7nnwUGmOMuYNFHAXA5Iy7AyBzHbRDHtaRA+dc0jESW6thRLgY+lVbLErK3EoqbGCEx2d+5x9y4qH34wrBIAxJwi3STJKmTabmH2Tx6lv0+xFra7ewJkOJAEyMTAaMj+/HyRzOX/sGvf4q8Pf/bcbI/6fqdnoExTKOktSKBRpJxGDQxKY9OmaOYHIa31HcuLnNQwcniULDC8+9zPrqJaJej267g18MsImh3ekQxzGFYoFBHGINlEolpHBJEotynTz6lvw9TtOYbtQnTVMcBY+dfBuvLK/x2nPfYJAlxJkFrUEpkjDi/BtvEhSLzB+9Z7cLulgsYDKN67q02p1881SqcmXhGnvn5qiUijTbHXzXY7o+SbPdoj45Trlc5My5Czzz9FN85ovPYkzuASyH+jyAVGc4UqKUw9rWDm+evcD+PS2mp3d468IOTzw4+X2byP+QywqDEbteP7m95LDLIP/cSUR+PoVF33ZbYSiTGUq8vKCIMZooc4miZi4zs4Cr8JTMN65imPipHHBdMqtxpEOWadIMhMyb7KJej7Xlm0Rhn7DXw2ApFIpkNr8Hv1Qiy/JNVqHkEfYzAk9RqdQoFwpkwmV1u8/5K69gMoPrKrCQGYtMcweMOI6QUlIdmyAcxGAM/W6PtY0Vpidn6UchfQuDQZgDdCWJEkO14pJkKZdvtvnpn3iceGmH69sDmu2YbrOd/07YpTYxRb/XJRibJJaCJEsJpI+x0I5S4n6fRq+DEWCzYVDVbg9Gfsy9vLLO3P6jXDl7ij0HH6Banydd26bV6dJuh+gMOr2IPfUiXuAh73JioWqWOX/lW1y6OIF94l8wODpAdtYIl0r8zvk/423vupdjB2En7WJnf4s3P59y8PgkYmKJjnbI+i1unOly4oljXF24wb4fHyJKAAAgAElEQVRDVTbXbxJnJWQFygVFo5HhloCxaeaPTvHq2cvo8ixb4ZucO7dGqdCjtwA/9MijXD7Yo77H5VY/ZGJMkXoFRGBY32jDVJWZyVlSE2O2ezz6E+9nTIU8enSO9z51Aq/g8+rLLzE9U6Gxvp734HgOUmv8YjFvhHNceu02tVoRXwxY7XYZnxojcBRrvTKVWoGJiWnKtSpXzmWUtMv8vjkaW4tkbZ9I+fSyjKXVAe5GQrHS4rmXrnHmldO885mTvPnKG4RJgu85ZKHBuoLSmI8hJdy0ZBkMboWwv0DtYBHRc9le6+CZlO5iCK6hOjOB8Qa8dfky5UqRXqapFOqMFwVCRrQ2e0SJJXMs6fYKhaBI1OnQG2R3bZy4Tg6GsaBNLnnS2hAnCUmS4Hgeg8GAVruFHOqL62Pjw/k5P8XUmSWJLY5S+DKhPhagnAChC/TbbQapoNlNePCBBxE6IZApSme0e02KxTrLG+vcWt7gyJGDBAGYbgKey+rqBp7n0W01mJ6qEPZSCm4BZQP23HOIhYXz3Ly6w699/OP8/rMv0kuLCMfgIJAKpCMoFj0cKZDDvIo00fh+vunWmUYKS61SJCDCCW9y7VvPsrJymYJXot9LubWxTWpO8+4PfpAkFox5W7z8wtf480//FmGzA3hMTE0QDWKKQYUwStCJZZwJ3nzuFKeee4kjh/awttXC2C4f+sWPIe95J2c6PXRrh/p4HSVg3+QcM/edZHlllUZ3k2Zrh0JQZmrsIO1eG6kMqenQbreYHJ/AWksQBNxz4D4q1RoXrpzG2rs3Tu5W/eVM9FADOGKk2ZV3DFu4hkB6V8c7AqN3AIJdxngUcjI6rh0ucAjuOK7NHxD2DiC9yyzb3aZEK/LF987LSTFSP4/Y4dvuG0MB9qhrLQf0o2cOG/5GQHmXbRagGDVO3n5ddlcukofLCJE3KjJkuh0h88UJgzUaIaDs5rpm13FQUqKtyHWGRuM5Lp6nMCbDCJd+t8nzX/okG2uvUiofQGC5fOFFwuYKBWUpjh2h0bhOY6vNpdPfotdpoTPwrOWJk+/huW/8HqXxGkHJIY7bNAdr1MenefIdb/urjYy/YnXaK/T6AYXiBLZWp1ipM0gE1kaErTU6BZ8kk1x/8Zukaw9w4c1T9LotkiTCDIHU2toG/Sil0Wxy7Mg+KtUyjvIwRiBUvmB7fv7+p5lBCJ0LiKyh349IswwEfPkrz3Jr8Qa9bh+3WsxlF1FMkhpwFLHVZGHIRLmK8CRC5szmII7o9weMjVVJkoSL164wNTlJq9Vmc3ubSrlMfWKclfV1igWfZqOD6zocObgfz3eZm5pkc6eJNnaXPR0BaWFz437PcdBG8RMf+ACe52DM37xJ49+lrKqAtaQmZ3NzYOzvNopaC6nWSOkQZyndMMKky/R7XXSWoHSCMAmO0NgkYtA4g8wS/KBAmqQIo3nh1AW219f4kYeO023nrFSapsRpQgogLb7voG2GNtAPB8RJSqPXJ7MeCI2/5wB+2uf97/8patOzRFHIqZdfY3x6nrOnX6e1vUnU7RP1IjpRxgtvnKPXaWEyTRAUKQRFOmEXR7kYnQeuGJ0SuA5RrwvKIx60aTUhs5ZmYyu3S8ynXKSAoODTH8SE3R6X19oU544wkUgWd27iBSV68QDPKxJMTrGxvo5OY9o7m9Tqk3T7XeKwz8qmpV72qbs+/W6HXpSw25ttDUanRGlCs9Hg0IFZ4l6PQsHH9Qr4xRIIiycdEJIk6vHt7yzy0WMn86RU5+76RD//fInuhuXw4/MsbcU8deIkn/7CWQaDNnFY5trpTaoqZOKBAVHSYnz/YTrNAcf3/hJ/57EqT5+4n2+f+RqDtmXf9HVk8TrK3UOpXmD9xiKmKJmqH8IIjw++92f4/PNfgLRJ0GvyzbNfIlyW1AsTUPT4zmsLvO3xMT777GkqpSLz98+j7RbdQUKtOk2/qFnfWMEsD5g6UKWz1eR9P/8eZsaLFKs1Ll26yvbGJoemKpzJYqRQeMpFej7KkSgrENIlS0PckkOxUqZa1dxa3qE2HjA7N8f8fY9xYP8km+sdbq1rLl5fpXjqCvfMlejUfKbHq2RZyEqU4ZAR78QwVqc2N0u31aUyPoNMLpNqjbA+pSmXTIDT04h6xomD03zvWp9krU14q8nk4z71Yp0s9hDtdaQVtNabaGsoTxfpJXkICFi2Gk3wDInJmN87w60bq6iSTziI0TpPzr1b1Q8jkiQlTmKM0dSqNfTQOlYNx6hSCqUUURxTLpXo9yOyzMN1XbIkRWuNdARGDHj1639ERu5Cce7SaQ4eP8qFM1dIEkO73eWpR+/lytVFoiSjvneeqG/Ys2eWRx+4j82NNZYXI47snaKXxRRTgcGhWC7RaKQkaQ/fU2gj+PNn/5RCeY7xg9OsNiLOvHmK/fc8gaNcIMLzHArFIA+vGSoAxsc90gySxBLHCYHvk2QJtaJHfOMUly99k9XrDcbnD3DmzbNopVhZukV5osJXfv//ZnnzLNsXz9KPu6SDjJ3mgHptBi0SlHQxaYLruGQmI1IxODH7ynMs3FzhvvuPMui0+drnvsix2Vd458f+MwrlExSqJXwpGHQiAhymqyW0dNjY2AKj2dm6weT0DL1uQrk8xtFDD9HqNuj3u/S7IQ8/8BiOW6A+PkO7vX3Xxsndqh8o5xhhWWNHzYPsehxjR3ZvIxsNcs2wHTHOw//nPyB3LZZYmQOf264eo+/zX7rTySJPSrRDrbEZahEFSIO1eUS3EDlbbcUI/Irdxj470kzvOm3kAN6IYRzmCGTvvmZ2Ifbo/vNYRYkVOo/PVhI5vBd5BzMvh64aozc1cCQFR+A4hoLrEPiK0288R5wmHLznEUrFPXSbG3zt+T9hYmIM6WlMkrGxtMi+o49z/fwlYt1GORsI6/HgYz/K0s3znHzgfZyKPke/d5lokPHIIz/EoN+kWnTRGt72+DO887Ef5Xc/80l6zQ61sRkun7301zJg/o1lFcQJzdZVdlau54tDsU7RGydrLtPcXMErOAy6DlfOvkaaDCgVC3kK3SDk5toWlZJPGA149KF7iWKNziRWQxAo7ND2y/N9BoM+nlRYqUizmDjJUI5PNIiQJiFst/nIL36E0996idffOIdnUnpS8sjbH+btP/wMQkLU7fKdl18jqNQoFNw8kVJrPM9hfW0Dz3MZq9aw1lKtVUFYHOXS6fXRRiOkxFiNQRLHGWGc8GM/+m5+/7Nf2JUejAJ4hBAo6SClYKI+ySd++3d5+uHp2+Tz3xIWGmB7ZRGDRKcJynWHH3KFtSYPPMoyHGXZ2t7mtVdeopS2qc7NMVbfkzfCOZLAl4hEY01GYWI8t4G0BlF2UMIyPrNNc3ON8fl9lCcz0jRFuh6pyWg3m0RhF5QCmVs7uaUYEQSwuY3WHl/4+tc52WzzIz/1ASItsc02lfI4Dz3yNr767LO0NtaZmKgyOzeDUyjxB5//Omtr6yRhiHE8PKvJMPh+QBLFWCuHdnbQbLeRXoDu7JAf70l0PMAYge84CCHJjMYYS5JmKAE77RZpnHL1Vo/5+h58cZPz125w4OAh1tc2iJMY1xUcOnAf1eo4Z869lTsJBQXGahXSJGY9GuAFBYhSlMo15VIpBApHSirVKjqxSM9hfv8sxpI3LVkNwoDIQEjKpTLxICU1mkzfPWAEEGdlfuEXf4UHDt7H+uYbDPw/5pc//iG+/L2zjEdFjL/AD33gMc6vfop4+104wQqTtSnuOXQfByYLfO/yTar+Qar9Fb7x1hXSaJzq0Rn2jDs01xsUvAKRKDHo7HB+YZ3+eo9eZ5NHnjmB7Tfodq9SnZplY6XDaiMmuaQJvYCTR46xthPTtClKFJG+i+eWKJUTSkcCxqt7+fgvf5inn36SjaWLXLx0la2VVbL+NuMTM1gURmissEzOzxAPUprrt8CpoZGUPJ+N7QGZtlTrNbS2KMch7g5QqkTJaeHJBks31pABGBvhb0iKtQniQZHMtpFWgZvx0NwY0faAwsExXn7pVVZ2hhtJayAronVKJgRpR/DG6Q5BJUA6RbQfs31WYHUTv6apnZhl5/UVnIrEKXqkHcMT7zvE66/eQA+6JGGIsop6rcT6+gqe65CmhiySqIKGu+jkEvZDBmmKlRZXOfT6Ib1eHythrDYGWlMqFalPjOdzsoI002ysbZEkA+b37GFsooSrXJSrefO7X+DQvj0o36UQVElSS6lS5ICSODLlwqXLVMs1JscklxeWmd0/T6+RsLq+QbvRoFouc21pmVq1jPBTrIqZ3buHxdYSBb+ANYARnHzwYRrNHc6d7fAj73qAf/4b/4TPff3b9PopWTb03zYW4YDrgSMtjqvxCg5l4zBWq4IxqKBAb32Lm5ff4OqlRXaafVJfUKkFXLy6wbnzt5ibqWOSZ2l3d0jCFLcwznZriT3zs6SpZXOtzVhJ0u9meI6mJiGo1LCOy876KsfvOcD1ywscve8YYbbBej/i9B/+z5x4189Rf+ApymMFvGydL/3zX+SZn/oQT578r7hv/jGSrJcz1bKEdDRpPCBNU26trpKOxVjrs72zztr2Ut5rcods729K/QB3jhwAG3k7TTBXDqvcGlXekWIIuV7Z5ke2cIft2FADLeWwm11YlMi9Ue3Qri1H3QKpxMh2dVdWkV9sBKlByjyFb6SVHvb+MeKi5VDGgZD5/XD7PsTw6NiQd03b3TZJu2upZ+zwKFiKPCVR2hH3jnDs8PXmYNyObmB43IyQWGl2gxxc18PoHiuri/jCobvTxagBOysLxIPzjI/XCYKEQbdBGm8xNTvL2x59ii9/7bcwOqFYrtJrGDK9w/XLr2F1QNtboNuKwLrUqnUc32V2+hhJ3KMcVJgI9nHp8gLaGmrV/UxUZzh48Phfw3D5S4aKySiWy5RrZTqdHu1eiOjcxNu7j+LkLI3lG8jpCQb9NTIxQaVaZRD2MdZQKpV41xOPcmlhgXc9vp9+ZHFcg9EZ1uaemfmJh6DdagKadpwMx4KXR7maLkmc8d73v4fNxZt86n/7bdLMoEpFTjzwGOOTk0iT8sJXvsryyioyKFCp1UlMB6UUnuvlVkA6o1qrALnWtVIps3JrFSEFhaCAEILAD4iThH6/P0zRNFQqVZSAuclJ1ra3d09WrLW4UlEsF5ianOHzX/4c9ZpLfprxN2/C+Hctm2mMTZBYdJxLJBzHxXUdHKl4/dwp9k7VmZ2Z5Z5j9/LC159jNlasru7QbbfwHUUh8HBdhedIfNfHCtBZRppkkKV0Io8LyxvUXniBKI4ZJDmQTjJIjUGbDKQkw2K0JUxjBmFEpi1vf+wkJcelj2RjZQFrYoLyGI8+sQ8rHdrNbV48e5mJiQl+/Sc/wKVLV1lZWWfQ75FoQCekroOI80QuhhHLIJGuIhv0EI6DVXnIidGaKE4pFIv0uym+F+Apcn0nIIQiiiPOLSzy7Jef46Mf+js0Oy3qpSLbYUyxXGW70WB2cpqCF1D0FUcOHWZ9a500SSmVaqw3rmGkS6/fw3Py3gHP9xklJVbLZbJU851Xz/DUUw7lYo2tzW3Wlq5w4eIVjhx9gK3tAfff/yBIeOXbz9FubfKtbz7PRz760bs2Vg7NZcR8G+3MMFOf5I0LD7LQeoGwv47y7+Ef/vR/wfLmZcLmhzm89xEmy5uc3/gdwvYGZ7qSrL/BF175LJdfHnDfyUl23ApjsxXeOn2WiudSrleJWqv88t/9+zzz9CP8r9klLi3E/Mp7/0u+8vyXuT7WhQAqJ6aZX10lSlwOT46zkm5z4OBhnj7q8bWvtglQNHfamGTARLHAr33sw9z76AniLCUahAx6G9RrsDN9D+OTNZT3OnEicINx2pttgnIB6bhYm+C7AYiMYqGEFoq4F1IZG6M6VmZ6tsrFS2/xlc/9KQvLTbQVJDF0mgnVcZ+SBFXwUe4hhO4RuJZmP8QpZGzeaDKI+ijlInQGvgeui8wGZHFCHII3lVCYLtJbDXE8Q9RL0bjIYBzZTpl6aJzGYgunLxAVh9e/ehNKKVGWIoxCx5KB7BP3QLjgOAJVkFRmAzrbg7s2TvJUUEu/G1GrVfI472KRJEkwWlOrVnLbN2eUzSDwA5/ikT14rqVSzqO1M52itGZvvcjKxgpz8wdYXdvgnslpfCcgNX32zE5h0oxe2GVtvcHUVB1XCIRJMUbiOj4umth4+I6XB6ChaDWb1IpFokwjlUscxjQbKxQrDvfef5hBr8+TTxzhjW99nrf/2AdJM4EmVwO4HkihccjDTlJjyLIs5wE8gzWK7uoVGu0VvFKR6UKBcqFMqxkyUa8ipSWKElaWFqhVK/T6PVQMlXJApVzm4qXrVMoBljxKfG2zQ086lLebeFJSrxfxVMbDDxxjfXuLUqFAIaiwsr6Fe+qPOfWtP8YvF4iaA+rjZVbW17DXvwpBnYGoMkhXUSZBqjImS6mWK0xNTFIsFlAORPEs5y8VaA226bQ6d22c3K36Ae4cIGwOBq1h2FgikDL3ixZDptZKi7RqyCbnMBvycJFRS51h6LM89IBm2JdohnDZQWCVxdg8ylvn8SvDIIrbMotcKiK/z/LqTpZZiBF4z4G2kGYI1FXOqFg5ZKtHvwO5qnooOyG3mUEKHCmxNgXhkGqLsJps6HcthsBbCYZgWmCsQDmKQCpKnsJ1NDcvfZc0bmJth++8+K+ZnzvKgUP3cOq7X2RsaorvvHCR+YP7IC2SdDO2WeLm9W8zVi2wcG2T2akj6H4LhCEd+Bw+dC9XFt6gViojZMbW1jrveuZn+Wf/5Jf4+Y/8GnsPHsF6gu997zk+/KEP88df+DSPPP52Du0//Nc7cv5CWatJkxjpObiupVb0SDwfYxKwCquKdFoN/h/23jTYruws03zW2vM+850H6WqepZzTmXZ6wAPYBk9gU25X0FXgKqIK6KDpiuqmurroKroriuoIugFDQDcUFGDABLazjUfstHN2jkopU1JqHq6u7jyeeY9rrf6xz1UmFbTrj/WDgC9CEdK5R0dHukvrfOtb7/u8ut+BUkzsOgW9Ik3ZbLeZzxWTE+NI28cPNBJotjsEfog2kKYxnW7RdMdxjGNbWLZL1O1gOcX12KFdM3z2d3+fqNukawnApt9ps/idp+j2EhKt0SlYoUOlVmaHEyKFJOpHpFY2eE2bVrNFHMf4vsdanNxOwFJKYYxmYXGJcinEsorglSzL6bTb2K7DA/ef4MvffAKtB7xOIalVK/z6H/wZ73xoL4711+VOf9fq5vxsoRkfpF+hFLlWCNvCRuJbAumFLK6sk/Z7eLah3dzi4twyoSXJTEroBbS7Ecura9x1aB9GF9zTPFcgQHtVWv2U56/cYnJ8jLXNLiP1MnboULas2yFFyhSIO6U1rW7Cq+cvkCiXWr1CIwzZ3GiRZxq/vMnd97y1cPinKUEp4H/49Mf4D//Hr2M7ZVY31sFykLrAcioFcZzgqOKIHlYqGKVBKbQUqDTBDyto1UFTMK9L5RJpUBhcXekRBA79XhfXk3R6CWeuzRP1n2G6XuPl01coj80Q+CFXrs1y7cYVjuzfg4rK9Dse/TTn2tVL7JqeIUkilJHEa/O4jk2vn+D7AbnKCYISviOYmR6n5Lvs2TFM2m8SqYg8XscRkuN7p8FySLvrbPRWcaRF4Ep2TQxhmTvLdN3zQIdXLnyL5879FU62j5/4wR/j6qnXuO/YLo5W7+XstT/hzPUWM/UStuWxuL5Eq7WXs5fnKYUeT33nCSoj8PH/5pN0BWxdfplrT1/gxNFDXIrmSPt9RA5//Kd/yO/+p19jZF9EMi/4X//tv+K+d9zLj/3YMHPLm0z4Ec5b1nn5K2U6vS6Hdh+i3dbMLe1l8uAtkmaJ1ukLHNp5nH/xsz+Bzrd48dmn2Hf0XtzKGBvzC4yMNti/s8rVi1fwPZcs7aJUirBcuhtN8iQn1jluaqjsqNLud4vEOFGiVPWRjuLp7zzOM89fQCFJlcD3HUIvQMiUidEqSlYYn5gi8BVpz6Neq6F1RG18L15YxgmWyeMmdslBhDbSTsl0ihA25aEA3U9Z3YgIpYORktqucQSa3vwmXlahaRRDuyboLHfIOxFGSWxVgbCHwKDzjDy30cLBdzKQNoED3aUIzJ27tdi9d5okygGLTreNShOiNMWybawBocNxPPI8x/edYh/XGY4tCX0frSOKHE+La5fO0OqC51d55ZWziFxjspyFhTlqpZA0zpi9OUdYrjAxMUUrSlicW2R4pEqeZSSJJLctbEuzurLG8FCN9bUt/MCnXPIZGW5QrpQJwy79xQjfDbFEDsJha32DV57+S976jvdQqpSJjQIlkIN0Ym1yBEX6H7bBGIVWAiMlvX6LjWaHF567Qbke0BhKOXX6An4A737fw1y9eBlySZIkHDgwTZbmNNcjdNbh6MEZdCZ4+ew1Vte6TI4NURYpa2tbeMM1en1B3OsRxT1KQYAXhly4scZYoLl4o83c0gquHVCplXCqNqdfPsXNUy9SGxvnxNv+Id7+HybvrqJtC6Vz2v0OYSksQu8yizyL2bd3mrXNCscOnrhj6+RO1X9VEy0GemUzMOrYokj8K8xzg+cJCVIVhIrtsfCgoRUDZu627EEPGl8LM0gaNIPGViCMxhrIPqxtM6MpDEAKUzTaAkAjjHwDhyV0YRQ0BYPaDJ47iCsBQMiBKUmKwaR68Pg2bm1gMHRciRSS668/gyU9Tj//Jd79kZ+kNrwfo+VtNJ7WBt8qwgek0KAthABHtymZiKtnn2W0NsSV8y9x5OBxbtxYxbUkr599mfnl18gTRZK0qdcatLY2mBgtc+qFk4xMTtOP2oxM7ODH/sGHuXH9AmdfPckPf+xHcdQIc7fOs7GyzO6D0+zddzfSrvPSK9+hMTTGZus6n/7pn+NPf/tP8IZszp29xeLiLK12l1/91V/mH3z4B77Py+eNcl0XnWcFXUSU8GseIRlpbkPWRlkWi8ttqqUSEyUfneWsrK+x2exQq5Y5sn9mgL5Jika200UIQ5QkxHFCv9/FsS3iOCtiT7Ui6rQxFIYYAVy6MUtmSxInxHUkP/D2B7n36D7arR5nz5zhmWde4cL8GqFyIM/Zam5iFR4wavUqcaLIsoxyuYzjOERRHwQ4tosa0Dssy2JkuIHruRgN7XabLM8ZGR4mTzLyVHHi8H7OXryCJQXlUonf+E9/wnveuncg+fm720ADHDpw+La8yrItsjwrTFZ20VQLCWjY2FhCZcPU6yU2lpY5tHOcXtRjcmw3lq1ZW21yYOcI4xNjoAqWap4lpAoWt2I83+LBY/tp9RLC8WHKflDIxmwLnccoIzFZhlJw6tIN8rjHW08cwRLQKAcIxyHqJ9iWRBlN0u+RqYJVHkjJF7/5ImfP3yRNYnq9PkJYBYnFGJIkxnUdklQhZEH/cG2bwAuJkoRcg8pTHDckinoIIIl7OJZFrnOUyqhVh8mUQudpEe6CZnZljcdfPsfC4hrVdsrI9AxZnmKMZGtjE7uRs3xrHcfzcCzJyvoGzY0VhgNDqWajjMOcUmRZTlgq47kux44c5NjBvRidszY/R0mMEdQbOLjYdrHFa53R3trA8R1kqYwnFW7oDuhEd64+/wcZll3jxPFjLKw9y9pWyNvf8hCvnP7P1Cc+wtUzy8wtnsd3DJ84+Iv0zaPsyBpYch8HJkbZO27xm3/ye4gTTU6/cJpUhRDB7IWrlPqCteYSk2MNIhWRaRuV1/B21lCqyo2FF9k1+kHE0hPMq5z1Czv5+Ed/hu9891s4TgtljbKwuEy3eYMhZ5zDO+/lv/v0J3GF4OrNDXw/oNEYYmNjldQZpbnZpDxcwQrGqTf6bLSu4RuHuN/BlRaW52FlmtCT1BxNL5H4YQ3XZKR5zuL1q1ydbaGFXZjl8JCWS5opTCXg8lLGPYeqfOgT7+fWpYv0mutI3cfzSyTpMobdSOEjUOS5gwWkOiMsl3CGPKKlPr2tPgEOWSVn9Mg0W9eWyTuFdM3sDQi7CRs3mvgNi37H4LuGPI5wXAurBPQBVCGrVIP7Xlnc1GV30PvhOhbSQJpqxseGSOJ0cCksUEojpMBxitCiwksrirAgKUmzjMBzis+tzPDVz/8htgXC9ti3fx/N5S06zSZxqgj8FspUmd41TZJo4iShVnaplkdYWlynPjxKtTFElvaZPljHxuL61Rvs27+rYNtHGd04ot3ZwrELQ+/Z165x9MRBctWjvZWz6vT5rV/5X/j5/+0zaO1iTF7czlPsjQKwBr9OM1PsZ6T0VITtSLwa1IaqPPH4KSZ3juC5ktlr8wjjUB4OUXmOSjXSwF3HjmFUzOLyOiurq2y2IsaqPnMbG0gtGCuHGBXT6aZsOS7DI2UmxkZZXN1ieiRjY8uw0W1RrVUZa9SoD4d0llvcd+9hUtNnpdVi7OLX2dPYCaVpAs9lZMckge8NJGuCVqtJyQqIUo961bC+tnbH1smdqu/dRNvmNtPNEduCCYkjdIGxQ2KJbVSVvN20WtvD5sK5d5vlbAmDomisCz4zg1ABbkdo30bK3Z5iD97LADcntm2BA9C/ENyeRm+j5Aolx2BSvs2Dvv08g7HeFCIzINlZlsByJHnc4/KFZ+iurxVXs52bnHzs/+b42z7B6NS9hGGZOIoJfB9LaiwpeeHxz3P/wx+k5Dl8/rP/lruOPMyZM9/h4L5jVLw6Q/UGj117lEa1zsy99/HY03+B5wXcM/WD9Jtt1ppNSqUK+48c5+bN1wms0WJq1Y+4dfUKu2YO4HgWdhzw0ktPE4QWSTyBlY9yffY5rl4/y1ve+nHSWPDtJ7+FG4S874Pv5fFvfpO33fdRFm5eZeeB0TuygLbL5Dkmi0g7PVJTQoZVkl5EUK4QVipU6xZz8wu4UkPeQ+sSAsPD9x8jjjLi3JD0uwjbI4lTsjRnc2sTrGJiLRFstm7+9KUAACAASURBVHq3dfi+62KExBiwHAedRERJhsCiUqoQZxlPffckX/rqYzS3eiRpQjtKEBi24h6dJOLB6UlqgY1wiiSoJEsxGC5cvMjo2AiVUoVOp4PvWQRBcDsZs9ls4rqCNE1wXBfHttnc3CQIi3SpIwf2c+XKHGEp4I/+7M958IE9bzDJ/46XNoVMR0oLleYDJKAqpDdyQLwZJKNqrWm3+oVRVyVUA48sj1HKZqhRRQno9iOMglSlJP0YkxvSRJNlim6/jzQCIwXdOEbpYhqWG43Kc7RR3LxwDUcKDh88SG5Ak6OFvM3ITzOFSFOkbXF9doFvvHSJ9dUVXjx9AVtCqorbsyyNkUJiO25xIBA2BchP4ns+QsrCTCwkpUqFfpJgKPjk254KjSFX4AhDP46xbY9Ma4LQIleKLOpx/vIF9u6aJnQ8tjbWUFowOjbKcMVnsuHzyMHjXLu1wNjoMC+cfp3GcMCuiWmmR2qcuTzLSi8fkIUM+2emCG0LS/eolst02x22lpewTYysNei3O7gVn87qZoGo6rvYnT5hrUp/bRHhl+7oWnnnPRO8drPL1WtXmNxZ5+yVJ3n5G48xMVam3z9PHnUxvT63Tln8Z/EbPHz3p7jVvMR7HtnDr/75H3Fsx73sOnyCszfOk2qLJMvQvqZRLrPWbzM5WWf3Oz3e7d1DbAyXFxVLyytUayN4bsgf/79f5cDBd7B3KqJ/4zqVoILULa6eu4zuNsHp8KmP/FPOnTvPP/5HP8LY+AgL83M06lWyrMeNS68xvnM/P/yxD3P+lZdob81ycP8oV+ZXuTUnIY8QVkCuIzzPJlcSy0lx7TILG6sMJzaiFFK3tzh1rUOe5JQdTUk6dD1wHY+j+xpoIxGuy8PvfoShRoMV3aSvW2ytx/R7awT1XQwPOfyTf/4T/MnnnuHq7HNYbUP5SA3ZTxEVQ7roUa9ZuEMOlZmAuTOzZInE1Yax/UM40kd5glIocKtTSHuW7q0OI41xenELr5aTJMUNk4fBaAuv7GPyDA2US8EdWycSjefbCJliyPF8uwgH0gUpx3ELg7dl23ieh8pzhCyoFsIqsI+5lOi4jUq3EJZkfX0dv1phbm6dqZ1lLGmxY3oXG0sbSFuzutFkbHQU23bptmKGR4YoV0u02012TU2ysbpMOSxRrVa5NT9HkmVMjO0gKPlYrsf6Sh8Q7Nt3gGazzejwKO3edQ5XDyDzLV544uscvf/9eIECYeE4EksWEOHikKIKv5YwyNxQr49z+eIcrX6JjWiLHbsLr8jSwhq+71AKXKR0qTeqpGmXqakp5ufnKPkBmyvrWCalIhRZAiXXpxFAybWJ+z3GpoYIXU21XEWYnKmpCr1+yJ69VU69epWllSZzN9fYv2eSTqTQ7jVqnmBzM8VWLtWJp9j50E8xOTmOdOTtBFaJxPcCcq2wXUPgNSh5d26d3Kn6nk20QWINmk8NhUZaMAgw4fYkuGgOtqfI4vbUV2zHhhuKaTFiYL67zdDARgDFaVcOTINCvhHjDdzmUzPQKb+ZOW0whURkEIl9G10q3kDbyUI3UuirB7ro2ymJlkEKq3DM5h0+++s/SbkygW05dDbmyJMm/XiTcv1lLpx+jr1HHiZqbXDioR/iq5/9FcpDDdZXT7N07Une/8lfwpEh165dYnVhjj0zd3Hyxa8zuXMP/d4mpZLPd5/7JlV/mly38fyckd17uf7kOY4d/Id84xtfwMKhFIySpxFutUS31WZ8aieO7/Pud7+Pz/3Fr+O4VfYfeBDXFWSx4siJdzB94DhZx+LF7/wlW5tznLh1P/c+dD/jtZ38P7/77/jQh/7R93Xh/JeVZQqdapqdnI3WGtrp4ngWu2ohWX8Lg48jC+dnHBncIGZyfJJeP0YZSOKMfpSRq4gozmi3t5DSQmcaS0Kv3wcjyFSG69hE/R4gcV0H1esXmmmTU8RCKwLPJ0biey6W6JGrYu2gAKNJTMbc0iKpGqdWlQhpDeJVNdPT09hSolSOtCwWFhcphSG2bVOplCmVSmxsbgCCerVKq9MhV5p2q83Y+BgqV9x/zxF+4V//ex58YA/yzQSbv+ul1SBYaSD60grbGhzAzUDcZQyu6yCMxvVsfKeO7bsDL4bGCBtDio2DMjlYAtuA8STaVsg0RkoI/HIRk5srlDGovDDE9do9Njt9UBl+vcToxDRpnpGnOcN5TpzEdGOXkvAxQtNJEn7y53+JK5fOk8URRgjSNC847kqh1ACNKQxZlqLzgc7bC7AkREmCMAYvDEGndFrN4uZNCITKENIZGP1sbNdBShuVp3hBCColTTMc18XYLrmCXrvH7iOTTAjBGB0SSjxwcIqS51AaKnP06AFeuXyLp0+eJaxWuevQfnbsGMYm59JajleyaTSqPHjf3QSujVsZQoYhu6d2YUm7kEcJC3uoTqY14UQdaXkoY7AtQWwEwdQhUnVn1/S73v3TfHJoPwubK5w583sEJQ9HHqc8bPHBt+/l6hW4eNmiN1TCV5ep1MY4XC7x9ede4D/89L/jd776GT7x/o+z1PI4d/MKJx//OuVqhfV+gmMi4nSIwzt+nidOPsrbDg+TV5Y5NjLOC0+9Rr3s8dYH7uavvvQlukeGkGGF3/7t32RsxwxhbYLXX11k1+FxTj3zTT707g/jolldWMFzPWy/wvWrV1la3SJ7+jlKjRJlx5Akguef+Da9SCONxMYizztYdoDOBL7vY3SbrV5O1Q+wrJytTpd+vcbokEM1NAReneXFmHY/Y2yigedAJ8nx8pwrL/4VV5/8S/qZxqsNsfvEj7J/MmB1sUnodrjvrrt45plnWVjSpBLSdkp3uYk6L8C3qE1WqOytMf/iAsqAb2x0SSDqHlsr6zz04DGeunyFvDePqqaURj221lao1mrkFAfNLBXgQd7P0VmK7icIPJLenZNz+JZAmRwn8EhzhdIG1/NJ0xTf98nzHIwp2NGAawtsdztXQlFANRW/9Vu/gkky2s1NHL/G2nqTnXsnSPrrTE+MoHLB4WO7eP31m4yPTVOuhCyvrlDxAjzHRaIJHIczp85hWYLhkYwkztkxsZMojanVS7Q2W1QrVfxqSJY00bpHZaTOU0+8xM6Du3Acj9XNFR77/O9w4MiDjA2PcbvjGvRERUqqLlj0GrSQhKUqUZqxurzCww8c5JvfucrM1BCHD82wvLpGUB6i3WkxPlzm6NHjdFpbVCsldKZQcc7r17dY6EpykXL3zjrXltYIS2XIbJxWh/JoAy1ims0eO/fuZsf0CKnSvOWBozz17FnKlRJRrBBZDsZD21BpCITM2FyZ55CbIYQhz1Qxl9VmEJgmcCwbZTQqVwSBf8fWyZ2q79lEu7d5S9wmWWw3z/btFraoIoWweGw7oXDb6LfNiRbbX99m2wHbuDhjNH+NEb3dZg+kJFaRwDIgHgya5e2m2FDITQbR4WIQhoAQKFNoubeb6qLftthONLQsC2lbnD/1V5z85h8T+iE6abHajAlLId31LT7ysZ+j3Vpi6dZJWsMTXL/4GKPjO8nSmI3lBXpbWyRWG9sxzN98jU6rxd79D5KbjEOH7+b1i6+S5DEry4t0uj3qVYdS6DM2NMPSzUW0VkxODjM1upuVLUVYEUxO3seV05fYuWsP+w7fy93H7uNrf/llPFviBha1oWGWbi7ieSHL8zc5eijh+We+yPraJk4p5tLcaX7qJ/9HXnzscab3TZLoO5sEVBoaZunGVZrdgo9ZDz2Gx4bxwxrx5hJRv00QOHRzTZB2sSmRDuK60yxma3MTy7KZX1ohDHw0NmmaA4ZOp4vrOgWaaaC90xQNs9IKoSWWrTDCwnHA8UKiflxo+aWD5dgFhdgYxseHObh/hlLgkffbpFaJUhiS5yngFMg5o1ld30BIC8eycR2HIAyI44RWu43Rhkq5QhRFbDW38P0AozVBqUK1WkErw0c++Wne8cj+25r7v59BF6UN5HmRyGnbhT5RmUIq4zgeuSlQd47tUR8awfMDus1NpG0DuqB4mBytJEImSCBKFWhNEqcolYHQ5FoQqRyRCzr9Lt1WG0trjGNj2zYTjXLxAUSNPE2QaGqVErkAYySOdOkmmqXFDV45e4F+1EXoYtKGMdi2JEpShFbFd3dgKhZohGUX0+6oj+f7CK2LKXMSgbCRjovWRUCR6zhkSUyebO99AiEkruORymLP8wIfz3HxG8O4QtDqJyzdWsAvBewYruJ5DjM7x5EYcu2Qa8H+vbvZt2MCJV28agOExejEFDNTPW5uxKSJ4sSDD3Pi+EEwBsfzcAd77O2wKwRpnuPYspCyyWJYYnQhsdP6ztI5zl58kS8u/SGvv7yCG2YElRV++9/+IU+88BRT4f08NvcsvV6Jj//APs6d3eRb3/gtLkdNDg3t488e/SxOMs+H7/15Pv/M19k33ONKRfOxj/w4l859mbmLLYLpGb7x7T/ClRah+37uHj7H6FCd3nHNa8+/xLxl8SM/sY8zzzXx9TqOs5/2Vsro5ATv/MD9vO1Ag0PTk3iWx/r6IkGtwsbNTaqjowTDo6xcv0SeJXRaNipvsXzjOll5hjDLaTR8MmVwHAdhgVYOOu0wMlKjUrJwVcB6v19IGbMcT0eUKiH9JGNiykasCdAxcU8hLZd2KihPH+Pay6doJinD/hA7/Ygnnr7IC089z7GjoySixvF73s5z50/iJIrNqx1cY4NRBKHPxOFRZp++hmVZ2MoiPFwBKyDpdwmqPkLFCNklznPUekq4q4LqORgrRmiBtjNcJ0ApieM4pL0+xpJknQTCO7dO1KDBzJXCsszg1lrhWJKo1y0OtJaNlAbHNTj2gJOuix5FS4NIFb3NG9jaxnYtFuaXiKRh//Fxvvv0Bfbt9+jGNs88/wqOM8zW/FWOHN7HxHADx3LRUhP1e6wsr9KN+kyMNNDAhcvzXJML5Cpl5sAUIslpt1usbnU5fvwo8/MLdPM2n/jx9/L86Qvcmp8j8AM8O+fbX/0i/+3P/LOCPGaKwYMpgirIjSTVkCmBznKc6jQjY8P4c6tcP3+VfVOjbLXarAgP27JZXbnBD7zzLfQ7XTrdHnG/T9RN2FxZp68EvVygTMbDRyYx/Q6TVZ/RIZdqtcpGHy7eWuGAU2fX7j1Uy+OEAQSyhEQzNeayutJjPU45umcXc7PzTO8cJe4plMyYHN9Apy55nqGMGOCBC0lsFKdESUK70yYdoEjvOfK3K/r7e+IBih51QLwYTKTZlkWIgWRiwICGAfpOFN/w7SAV8ybdnOD2YeoNrbIQRbjA4Pfr2xbCAXFDFtPrbXydlLJoiOR2Y2zYJuxpsa1X1oNXKIxdZtBYW1ZhkrRtC8e2cFyriMfMc66//jxp1CYo1dDaYmh0J+NTB6g1htnaWiPuQxZFnHv58+i0zdlTzyCEpLW2QK+3Sa/XY/7qBfpbPbRWrK5e4PLF81hhhZWFVYxxsGwPTczk5Ay1yhRhWCFLFFK4tFsxuWziSh/HFRzYd4hEd1ldmUdahV7r8oVTxHFEUHZYvrnMtdnT9HpdHrzvbfSSdRxX0Nq8QrlW573v/yiLt5a4dOUMWJJma+P7tWb+xnK9OqEf4AcOtSBgfLxO4NtgNAoHULiWjbRsPHs70j0j6vXo9zrYlqQfRYUuOskIfBeMQqkcrQv+pyUESms83wcsXNfB9wP8wEdaLp7jEoYhvW6XXGVEcUSmVRGzboNRmoWlFW7ML3L15jwrrQxrkJ5ojCaOI1zXw7ItGvUGtWqFJImLlLckZXNri9X1dTzfp9Pt4vke/oDYUS6XCYKAKIqwbEljZBhx2wD79/VGKbSKUXlClsXkeYxSCeicJO2jsoQ0jUnTiH6ng8HgeD4ICyEdhO1jOz6WbSGEhZYWjl3gA4v14COFTeh7lGybTmuLuNkisCVhKaAS+LiWPeBT60FIgyBOCrauQ3GgT3XOuauLvH5llijuF6EwWqGzjFwV6wGV3x4UFDchBj0woOpcIwbEHtvzivfneNh2gc/MVY7luIUcSVhYQhYf6sZgTI7KiitP23bRSqMUaGUo1xu4YUguJCJPUUCexHSaTYRQ2J6D9jyMsNmzdx9JKrDLVfIkI6jWC4NsroizhKWVVaTjEZYruH4JHAcvCLBsD9vxcFwX1w9w7KAIBjEax/Fw3eJrjn9nr15X+xHIGr7tMTo6w0ff+1P02tc4sW+KM5eepRxqhkZGefrCi6yoGsuix5TU5FylXvc5fXWRX/7Mf+SV16/z2ONP09toczB0OHdykUyU2FqaI40UOMMcOyh5ffYlnjz1Vc6dO8tI4xi7Dpwgao1Q3ikJ9/hIz0GIHJKM0E4JnCqWyVhc22JrbZPF6yvYdsprL7xIa2WeZrNJnCZ0o4Qsh9WWou65SM+m5rtAjkBSDkIkiiiLyOOYfi+i0Sgj/IA3hkwuvixyCHKl8RwwJiGOM5QWlEplLp88yauzy1y/1ebKjWVOvvAa3/rat1jdmOPy5VkOHtpDvV5FpA5JO8XWCikNAovx/UPkvQSTGfI4IU0V7Rs9HEdQrg6RRSlPPnGZXKXFnqw0ZBaWZxfISiWR2iKNMiqjZXpZTK4sbKMY37cTR965CaMQomDzowf/BwdpooMhmW0LNEVCoetKHAcEGktI7EEaW7fdRpISxQmu79Lrdgk8j16/zfpmh063S6sdk6SCZnuTfft2YwtBHPVptppsbm4QhgGjYxNUahUcxyLNMkqlKtO7duKEIcOjo+yc2UG1VmPvvhk21teYn18mzWwW5hdReYYlBVGUoLTNjWtXCvmb0UWWgjaD/cGgEGS5JteDQ39YZ2bnNPsPHWK953DXXXupVAOWV5dxHJuDe/dSrZTYs3uGLFOUy2WMhqgPm1tt9oxXCF2HtBuxGRmkNPiuYHS0xFY3JcOwsZkwO7dIp9emudXBtjJsO6BSq6KNRZrltOKc+sQYR47uxvZc5hYXEMLGUDTNIMiyrAigE4I816hcYzteIcu8Y6vkztX3TiyUhenvtkZCCixD8eEgKDpTBppoUWiht9F0iEJeobeb7wFoju3AlME/okIX2BkKhjSD4bcWBmGKN2gEhR5avMGtLh56U4MuJJYZqLbl9l+reDeWENiWoNtcoFKqMHv1AutLVxiZ2o/nBbz2/FfYuHWGoFpi4focP/4zv8yffuZfMbnrR4m6T+KW6szfeJXJyaNcu/xNqsPHmb/6bfYd+SC3rryK44TsPnicMy99BdvWjE/toVyuknU1I5VJ5vUiN6/eYM+e/UxN7OT4/Q/hSI9vfvtRfBMwMjTB6ZOn+dhHP83aapPf/4N/w9LKTWqlSXqdPqNDQ3zhC5/ln/z0z/LLv3ya+x+4m5FwlAuneux51z7e9vZHmL2yyJA7jhAOMxMT9NqbnHvhOfppjOOOsLwx931aMn9zua7L0I4DuOFNTGZwSzUsCd2NFSynQlgu45WrbGw0sX0f4ZawsIjjiE4/xhhDHCdUSgEGi3anjcrNYFrnk2V5gZnzAuI0w3WLa7osiwt0IoYkKdbEVrOJEII4S+lt9Wl1IvbsmuDD73sES2iuzy6x1Y9odyK0giiKCMMQ24Zut0ccx5TLZSzbplav4tgO80tLTE9N4nseUdRnZHiYjY0NWv0u9VIV3/dxHJt+r8/I0BDtXnJ7/f19vbksHHfASh1g/gTb4TmDfUII9OC6L8tyXK+E0nmBw5MW2mhsy0LpQiBvKJphjQFlUEoTqIRWt0OjVkVUh4jyhDRX9DpdjIBSpUavuVk43HNFpT7C4sYq+8M6Rno8d36RhcV5bDmQnwkLbVSRQigL6VoGCGkXDbZhoO8ubjy01sWhP8uwXRfX8xGOi8gywrCEiCOyNMVICzssoZIU+003Flmek3fb1BvDaFNg+aIsJUNSrozQUV1OTA+TZwqRa85dvMnI5Ag7dgek/RSnVKVRKnNLSh796uN89L1voeRJStVhrGbCiePHaZRDmltNpnfswBZgLA+lDcKxEcZCoHAsgTIaS7jFLY1lo/MYWwToO0hcANg/EXJmfpm77mnw0IFVvvCN/5Nz8+9iV63DzOi7COrv4yMfbLG40uLEkRma5nNcvVJhjHfx9Rc/x72H38srp15hPdlix06PeEHyx89+jp//l+9kvXmFV06toKIG9+yr8wv/8jf41D99hLFhm7cdmuTcpXPcWruGxGN8aApr/GWSyzklf5QfvOeHmayPIrTm3Lnz1KsNlOkj9QbrWYjRGWkCPQXLs7NM1mpM75hgdGiE4/ce59IXn0RaKa6UOK5DlEb4QYler0NoMobLDpubG4x5PsuZRKgco1KkKpj6oRXQMwnGsahWy1y51afez1nqpnR6OVorsrV1bs1fQpgUozTdKCLqdsHKqfkeSbegKBG6TO/26HYjsoWM0mSDqBmjTMKO+ydJY1g+vYjwc8gt8ghs30IkDiZROFVB3slQcY5tgco18eYG1UqZNO6QZTZbN+cRzp3bB1Nk0Uxqg2PJQvIpFJYlsYVFnua4nsR2FJYwSFMgbrdRvCaD3/yPv4TMbaStsJ2AsalxZhcWaHcUY9M7qFca3Lq1TMkr0Y86rG+uUStV8RyJMjnVyjDdzibGSLIsx6k0aK20CX2PmekhvEaZoZFxeu02kzMjLC/ewnM0Dzx4glNnb9CoT7Nn9152TVbRls2t6zdZvfQSKoHIBttkGOkgjMIyAgu3uJFXBbXDty2Ov+unePGFX0SJiN/5/W8xtWOIoUad3TOTVKsBvu+xubGJIzWtVkxQMWx1O4ROwFI3YaJWoVSCpbaD7yY0I0Xv9SWO7JrAxub8+U1Knub8ufNM7xzF812CcpkHH7yLsdElvvDts7iWQPohX/3aC4yPBuydnOTWxiLNdpPK2Bh5lhHHGSItNN5aK+Koj5QSB0k9LN+xdXKn6ns30QOTD0IWhjx4Q4ohGBitiml1cQ1Z6Bq3O93t2F0GNAxhGGDhBLkQt1Fxb0ylgUGDbvPX/2y2JSLGFC57YQ1IB3qgcx7opAdmQWQxZpcYbEcidM7pZ7/I+M49vPbCl6lVx7n82pc5ft+HWLt5ktb6FkNDdVxRAPQfeuQjnH3xcQ7c/RC6u8qD7/wAT33518gzl+Vbs9iigmO5RSy6sIn6io3NRTx3CFTAyuoSnm3z7W/8BYeO3sfE+AzdXos9+/eyd88B9u+5nxtXLvHq6e+iYoXSCY2hT/H8My+wa9dxbs1eIetBY3QCow0f/eiP8aUvPMrMzkOonk9pLAThct/dP8LM7nsZaRzgwqXzeJ5kZt99DNV3IO3rNHsrmCjBk9Z/+e39vpYWBr9Uw/MOEscdlBIgHaxyFfBQuSH0PNpbEVudCOyIyki5aEzyvEhsNJBlCUpDrgxKFwifLEsGsiBBmnZQKsd1XVSek+Y5Shk81yGJE3KtyJQmyRLiVkyz1aabJ5x6vcWr56+wZ2aKSqmM7TiMDFUpB+7gdVPyPEWbIo6+2WxRLodYtkWz1SLwfbqdHr1uD61MIQXQmonhUWzLotvr0o+KNalNkU749w3031BCY5Sm1+vi++FgGqwKbnOW47p2YTrMU2zHxg0CyBRDjVHa3Q7SFP/2uc6xgxJRu0We5WgN0nFIswilch561zs4/t4P0FldYX15gdlLs9hpRNmtkRuFH/gYv4oYHOArtmBkqMHZqwucmV1jda0wBrmeT6e5gVE5ludiIchVRorC0qKQophiCm60xhI2aFAyRyuFH4aUyjUC3ydNE8rDYyT9LlBIQpQyRVy9baFzjTKDoYJdSJDipA9Ko8kxqkfJEmRJzEijgfEqHD08Dirj2uwyGZpOq4VXHaK7sUrVhWFP0e1FrK2tY09M4HoOe3buoN3ucOSuu2nUK+S5wnLdgps/4PEXe6m1vR2DLAJypB2ghUOqCqnVnaxnXvoKl17L6SxKNj/0Fkb2h7z46tdo7q3x/PUz/No/+xKPnvwsS9fv5rHnv0YWZVheTHXkO+QqYHXxOvcf2M9Tl6/wzgccKuNzXD3Z5Q++cJ3GkGLzos/SwiLLS5rSmMPN5XM8d3KNRjjKwdF3ctfBR+j3Znn9yiIryx+iXs34+A+9n5JaQ0R91lpNcpVz4cJZTp8+y7ve/iCH7j3A8PAEX/3Sl2knBtsq04w04tYqblhi4fosjaE63ahNP+7RTQxIC5Xn2MJg2xkiVxhZQjiS8XoJkg4lS5CnOY5xaVRdnLJPu5OR9hMmxuvkGUxO7MZZXWVteR1jWmRRjOtKKr5DmsDV69fZOTnGjsk9rC5toCoOFdfG8sr0rm9QGy0jAxtlDBMndtFfa1EJa2yGIJ0QKxymftcEO3ZMcPPxF+mtLuCUXUTZJjSGxFY4HUGqBMceup+bF66wdeMW2hYDT9SdKaVyskwNYAWmoFcIC6U1liVxPVnc5hpBpgq4QTGvK2hiIlNsLF2jNlSl1+6Qxjkryyv4bojjOCzemmXk/gNstppUwwpjYxMsLFxFBTlTEzNoCefOzGJZOVM7xjh0+ADLK4vEcZ84Mrzw/EuUdh/m+vzrHN0/w8Zmm9XNHjrqU80kvk7YWNzC8rp4ukOnn7D/wB5MFvO//0//Pb/w7z8Dvim47kIWORYyxbYL8lmmbXKTs/fw/ex4y0Ok1kscnBljcXGT8Yka9VqZerWM6/tUqmX6W01azRadVk4vdrC8lEfumeLFV+bptGDPkEcWOTQ7KbZ0WDozy0gYMrNrGMsSjI7VUVry/AtneMvDJ/B9h6mJMh9/z1FOvniBbgZTI2U8v0an32VU1BC2ZKvZvj1JtywLYUsC36dSqaBUQcbK8799Cb7/9SaaQZMs/jpbQAykGwIN23inbQzGm550u+ceyD4khTDeYjBVNuKNSTeDREKxzX8uNNi8aRJdSLSL5xQ6VzGYhBevII1Gy8JM6Ng2AoXUOa+/8m3mLr7M3MUnyJIWeXcFz61yL6oOFwAAIABJREFU8sm/wHEsjj3ww9y6/jT3vOtH+dYXfov3f/KfM3vlZbI0Y/byGc6d+homE/Q6W5QbY9hSsTD7GkLG2LLC5M77GB87hu05PP6V3+bAkcPs3HcP3TYs3bxEvTGCI4upfmY8Lt64zNXLlykFFd7+gR/h8tVrvH7lHHNzczz79HeYnNnL//xLv8m//tlPcO3qCve+4z08/DDcXB7l5e++AHZIx7rBZm+JuaXrvPrCaxivS5Y5RKbLresrXLv+Ag88/F4e+8qfc+jufd+H5fL/X92NebQGpzSC0ZIs6QA5jtdAYGNcQWd5nrAaoqMOKytzeCVRyGmMJs5yup1+cR8hC7V9mqRFMqDSxRV6muF4DkmS0O33sS0LgSRVGXEaIxBESUIUx3hC0kn6ZCgcaRUMbykJPJfQt/E8h8BzqFYCsiRDClCOS5YrjLGwAx9pWywtr9LtdtkzM0OSpVQrFbY2txBCEAQBSZqSUESwDg8N0W630VqRp3eWofu3toxBSqswmHhmcAMR4/s+WhVM9yxLsR0Pz1O4tkuexyAltjvQWQrItcYT9uA2SqCVQjpOMZ0WNt948kW2VtbI4h6ZMUS9HnZYprOxRm40HTeg2+2htEYpTaU6xLmFDdrtPp1OE9cvJsdpkuD5g2TNXodMJaRZIVBKochSEcV+I2x3EGNfHLBs28X1QwLPI1eKUlimF3XQaU6a5QjLwyJHK0OqinRCx3EwSiOFQdoOemA4lLaN0TlzS0uUyxXUpqZSrTHaEUxPTLJ7bxkEDA+XWZybQ0rJaFVw+AMP0xibot/psrbRIlOCrU6XPbtmCpe8lFiWRGk10DqDa3sorTEmxwxQokobhF/HGFUwr41B3OGD+Y0rGZbv8rO/+OM4/i4s2ebCjXPcvecj2MP/Fz19GtnpcehIyMWmz0P3Vnl1RfP+RzRZfyeXr40wvGeYE/YVHn9+hdeeDXnPj1rUpxd5/flxPvDuf0xlwuHK1ctMTtpcu7TGzpn95BsRj375K7zjLW9nx2jOvfuOMVQa5dAktNpthOtx69KrrEQ+Q/Uq+/e56LTNjbl5pJAcf+RB9h44xsrKDdY3NXGSkrgu5TBES4uhikenC76nSJRHkhs822a4nlL2bHoZIPskHYVjhRgMvuWQu4Lx0CCMJM8U650eYbWG5QsIa7TbbUyeMbJjgs7iIm7YQNBBGY3jZaxvNpneMcOB44fYiCJaSYt6I2H9xha2dGmudylN1Zg5PsX5b51j/P6d5HlGEPqMje6kOprz1rsO8rEP/hCfeuZZVKwwMqFcFeQ9jQkNuSUYn5jh2uXTEFNkLZTsIp30DlWWDjTDqNshbogU2wE5OBRqbQa4XlGEqg1ABnma8dhXPk+9FiAtSdLvYTJDHEX00y4TOwLe9vD9rG618ZyQCxdmmZoqEQQ+lhdw7fos/STB811qjRDPD1hZXcR3XWzXpbW6juN4XDx/jQDBxlgDXfMIwxKjk9O8cuo1vGoF4fsYnaIwVKt1vvvK6wQYZPQ61ZJHnCdoVeAD0QJhFb2SYxksD6LIokfOj3z45/g3n/tjMqcMxtAYqlAOXbIkJctTpMkJPI9qSWJyh8BNmF+NSfoLVEsOjm1xbbXFUl/z8IEpVNRnbdOg68Vna71Wpr3ZZmrXDg4e3INQLs21DkLC8FCVD37oB/jM732NvfsnEcowVKsSjO0mwsVKUowxRFEEb2r7fN9HCEG71y3Y0UzcsbVyJ+p7aqJtYYrNXA600ds/ZDGesEQRayy3qR3bzxfFh4AtNFK+6XUoHnekwN5+TWswpX6z1npA2ZAYXFkkC9qWhWOJwlhnW3hy8HPHInAsPNvCEQNZhxC4jsAiZeHqK5x9+ducf/WroHPifo+N9QhplQmre5CZwhI1duy7i7X5JcBj9vxzGOmDUDTGdmE5AVFfs7R0g8mJPezfdS+rS9cRUhH4ddrNhLAywvjMbi6f/y6BX6PT6tJaXyPtbaLzHg8++ADGJNRroxw9cJz777qXrJcQBhM0uymO9HnsG48SVBxq1QqeHbI8N4/OQ5568gs8+9i3+Z3f+yXuv+992K7HxfOnuf/+h1icvcHTjz+KZXX49Kf+Bbv2TeFmcPP8SYTVY/7Ga2xuzHL0+MN3dCHZToDj2ejeElpnCLeKMRA1l0BIvLBOudHAJqcyvgtLw/rN2cLYKSXdTgelUrRJSZKYTrdDu9On1e3T6nXoRhE5OZvNNnGaY0wR3dqN+qRpSpJmaG2YGBmhZPtsbLRJ4wwPm4rr0fAC0HD5yhwXrt1ieX2TXj9huOpSL9mUQxe0IE2zQh5gFOvra5T9kEa9hoBCF72xSRCEGGNod9o4jkWSZgR+gG3ZGAxKaxqT09zpSd3fxjIa8jxHDZpGS1p4nodGF/IGXWiUt7Fvrl/Cshys/4+9Nw2y9Drv+37nPe9697739u29Z98HMwAGO0gAJLgA4iKTkk1JjGSVFCVy2XGpUqmU5USWY0l2rMW2RDGSItGKwnCHSHEBARAAiX1AAINlMPs+09N7971993c75+TD24DscolfXPMhKZ4v82Gqpqpnnjnvc57n///9pY1texkzedOobjk2bDasqdEI6aJVQprGJKkhVop+GNLv9en2ekhhkwqDMhYpNqHl0IkFV9dDnnnzLM2VNfq9DRzpIoxEqgRbCjwpUMkQrRJUonG1IVLv0IYyKVOqFFE4zNbEmWMJS1r0B90sUVFr4iTBWHb2QRQCWyhAYzs2nu2itCKNI7ROkDKTtlh29rPfdefd3H7f+0hVTKfbotsPef3UOV49c4Hl9Ra2FFRLPq6UHNi7m/27Jrj//ju5+eZDbNs6yY7tM0jHo9YYp7m2iooHaJ1F3Rv9jmEzJgpDBmE/076abOKfRBFaJaATdBoTR0Owbjxx5vB7p/jkp2wef/FRNlpXuXblde6d3MHzr3+ThdMP8KUv/imt3jJHjz1O70qTyx3FQ0f2sXBxF8+/fI2V1df52lMv8sqxJTzh8O9/+3dZbt/KG89N4OVzXO78gOefeorpUUm11sXNC9RiwtJ8yB23zTLf7hHYu3j/7bdw56FZ3PwYvWHE4sIaplBn+5YtBKUaTZGjOrGNw4f3MzSaYy8fh2iF6wtLhJEicAs011oMuiGxCgkHQxqVAFe4eAzxHJdKJWIipynmJEkU0u12cByfiYkygZul9OpEk8sVsV2YX93A94voVKLSPKVikVIxj5svMlIfw8nXEHaCJnskjZQrKKWwRcjundsJ8j7eSESsFUkvwcprJg5MU2rkWV9sIxybvJvDKecIygXOvHWSixcu8Gef+wof+uQvstpbxrg2liMYdiH1LISwOHBkG1GaUHM9/IqHybv4QZ407t2wOpFSIqXEcdxMCmbA4IBxSJNNVjQ2lrCwLMASJCrbYlq2zZf/42cw0qHouhTyPmE4oF4dZWOjS7vb4sLlBU6fu0ihZDM6WiEKBX5QpjuMGMSKqalpBj2B71Xp9nrURuskiaJaqyI8l0gEuMJhYnYUpWNGcnlmxmsgDIWRKaRl015bwxaSME04eeoUcRgxXa8RRV2++ddfRAqDvekDwbJJE4HERihBznbI5218IamNN7j/Z3+ZXjuiWsgzO1VnOOhhWYaC7yOxGCYR8VCjtcv05BTVWnEz2dXQ6/dZHgoeOFBjsNHkVLNLruJzbTUkXwjIfI020WBA4MCJE8cJkwHdfo/mcpPW8jK33LKbMBZ0o5BCfYqP/YP/FcsrIGyHMElJtCFNUnL5PMViESEEg8GAQRzT7GzcsDq5UedHT6IxGeHg3V/JpsMiCxUQm7g5IzICxjtyDLFpLrQ2g1qyx5N5l5KhzN8aB7M/PUt32+TibUL8M32TdJwsbRCD0ilGGKLOBrlChW6nSaFUJgp7RFGK5+RxfQ9tDJ7jcPbto5w4+mWWrl5HSBcjFYVimeZSDxVL7nno5zn5fInVtUUW505QyJWpjk9y2/s+wTOP/CHt1SuUKw/z2ve/g2enFGqjfOiDP8nffPPPmd2ynfGxcdYXLhMEJd586RE+8LFfYvueAyxdOoHQBarlMQqBz8WTR3nr2PNs334rQc1w7vzrlPJ1jA2HbrmLR77+R9SqI4DPjvccYRgO2Du5lWef/jora5c4cMvtzMxM88AHP8zC4lkajTHOnH6ZUtnQsXsETpmf/R8/jQvYSUC5WOTVpx8l3ygThUPCQcKL334MfvVXblghSWljUoGwE9J4gzjK4Pb9jQ2CYo4krNHsa5rrA4rhEkiLVqfFaG6NidFR5hZW6A5jpCWJwogojQFBGMaZEdSxifpJNnn0DEpllIfswtQU8zmM0lydm6fZ7GDZFhP1KrWCy+mri/SGMbawkDJ7bdfLRSaqOUgjJBEoB9sRWJFkOBwS+A75XI4wTHAdl3a3Q7VWxWxOxCsjVQbDIQKLsUaNKIpZXlnOEgzjhD27Gvy4if4vT5omGG3QKsnS/XTyt67gzWCSdyVZRmxKxQypBul6iGEfRfbvz6a5RmtDkib40sqmuklMmkZoYxj0B0RxRBwlCCmz7RWaOIlBG5Y2BjTXWyhAJQqdhIRaZw2ztDFkTGlpS6JUoVVKIi1MmmnGNJkUyLZdpA1KZVpLx7EzsovtY5RhbLTB+uoiQtiQJshNWYotXYbhYHN6liV6CQNWqrFsCz/wcb0CH374Ixx/+ziFe+7lpRdfoNNrYgmbty9oLlxb4q59W9jRKDJZDXArNiOT0wSBTxgphOMjSzncGZdatEi5MsK2HTuyn8GAMWrzLpYZu9ixiYY9LMvLdM9GQWqTxEOCXIAAkjjCdX7k5+O/+nz6Q/+IuatP85u/8BH+6PO/wdVlm/pEnZ07pvnQ3b9KKW/x4tFnmc7PI7flUMMyaq1MMjiBaktuOhTSTV2EW6czt4uxySq/9OAneftcmeXkK0zNXOPi5UN87dHjlKoOOX+E0cIYI77BdUf45Y++h11bGpx96zUsq8Tpy3M0Si6259JsQWUi4PybJyhUxtl68BbWly5jL15hrgfCbVCrlAmjFIuEFMmg22HdOBQrHnF/SHUkQOaKhIlNPryKCRyEgJzvIESe0XoRFXbxnDyDOKZaylErat64FBK4DrErGQ4EQvSJ+w7C8yg0bEScUBrJQb9ColKIe1RqAVE4x9JyhVyuSD7Is7oW0moOaGybwK/l6PWH2Bg6qwNKM6P0ui3GnDqe73H/x+/g/FyLwWAOV4MaOOBkhj5HCRzXoRwYLl1bJBifZjAw2E6bXMEiTSMc98bVyjt9CmRbboFBawvpZMmBWZqwzpSfmz2JZTK958K58xzct4Nut0tfpOQKAcIucOLti8SDkCSSzEwE5GwPy8qRmD7SEly6sgZ2QuBKkoVVZrfk6bRaOPkcaaKZnhkjiRUTlQIvv32drfu30A0jtvhVUAPWWl26/RBbWMwvrxCZPFuLNu1mF6U9rEQhfEkpX+XUq0d5/09+CivK7k/HFaRastFL8DKHKZKYUt6i03f56Cd+jhPPfI/tO2botPrUG1WSNGQw6NJaW8eW2cZVWIqgACLtE6UucdJntJ7n3nGf1850CeyIgoFqxSaKDecutZkdKzCwfMJ0g7GJBjOzY5RLZYRRbPSGSMtlz0TA9186zXjVp1CfwXNcipZDc2MNy7IIoyHCEnhJzKDTxXFdFIa845Gz3RtWJzfq/OjYb/tvMXVZLspm5uBmAWaUDHi3WRDvqCpERs0QGcrKmIzjqkVW8O+kHWY9s8CyBJ7j8E64d2YsyqYjrz//CKePPwWWZHJ6LxsrZ4nDAaXaDlrz5xib2sEwGbJtxx3sv+1DxMMuucIIjiWYv/A2tYldoHOcO3GUidk9VAolrnGJbnuZ7voVTr79JLb0uHDuVVTU5diz32b/4TupN6ZYvvwmj335jxjbMkXcj9m9+yYG9gg33XI/hw/ezRNPfp0t2w9y7dppcrlxCnkH3UmIhiHV+gTj9WkuX3iLXDHHBz/+i3z7a19idGaUTu8NapVRjtz3MC++9ASVfJGgOEapVEQYh0p1lEFnjVPHzzJRa1AsT7K8ssLSyhzlkTr79u3n6EvfpbAUcMuRm+isxXzmM5/hn/3P/4Ld+/fyxLe+zZ33vIdTp8+zsHCFQ0du4eGHf+7GVREQJwmuI7FFASM9XMcCbZAqQqeGbnuBQNpUHIPjWlRKI4jJOn6uSJKKTf43hHFEGMUkaYpAYLTBaOh1+mg0hULA2EgZg0KIjMbR6w9ZXV9naXWNdDNkQwPtXo+r0saWksB2sKVNo+JTyHs08pKdMw5F1xBGIFqaYWzQRqGNxvUkYWgRBC4r6xuMj9Zotdrkcy6rrQ1anS71kUrW/6WaxaVltszMZuY36VEL/nPW+Y9PdrIbJNOta51iS4c4id69CwCSNMGWDmBwPJeBUtl01vHQBoSxkUJjIUi1wugUkyosSxKnMUpYmc7eQBwnqFRlj3gkwgiE5WCSlKF2GIQJWgiGvQ2MybSpaTrEcz3iNEHrFINExSpLzExThMqkDI6wSFWm4ctMhRphaXzbx7JtPC9HqVzGsm36vQ5xoihVilhWle5GiyRNsKRBKbP5atCbpI/s78HyPWwhGQ66KGlz4cJ5GtUKRmSXZ6/XQemEtuXwN8+uUC7m2TZa5p5bdzPedamNjdMbxuRqIxRHZ7Hded48/jgzU5PsP7CXfNHb3CIKpGUTDvtIx2PQ6WyitGKk5WzK6WKS9irCjGM7NtEgZGhurH7RhE3+8lvPcMueH7LjoMEbm0Un83z8gd9g1+gItu3zOydfYse4zXgt4Opim2tLHYap5sjhUUzpGhdfafP3PvgvebP9CH/yla8wVg85c/2H9Ic5kuFN1Hee4dc+/Vm++vjX+cS993H02EkaO4p86N77UHGP+UtnsQxcn7/IZCXPmQvzzG7fBiiOvXqe3VPjXFtqshF4lOozFD0f99JZTp54lcurit0HtlKxFK4URLFGmT6SHNiGarlAsraCq2Kq9RxhpGimLp4VkRMxlkwxOHiBRJgc7W6P9Wt9/KDAXDsh7A6RdkA557K63mJidhYnNWhfMVLLIzxwZAzGx+g2QjVJ4ialQo57bt/LmS8cQ7cV1m5IVIl8OSUMY3JVh6jTR+dzDMPs/j539VI2rKiN0L66iE51tkmyHcIoJghsCrv24nU2WGsvsr42ZKShKY6NsLEcZtuZG3YyLKYQEHjZNlBrjWVlPcS7WxNhZdpzC4ylGa5u8Nl/988pejZBENBpt3Gk4vSZK2hi9uzZwdxKC3vPLHNvv0V5Xx2NRFoRO3dOsLY2z5Ydu1jZaPHMG/MUSbBkwl33HKI9iCgWc8zsnOXM/DIijWk0aqg0pZArcPH8VcYmt3D09VfYsWuKsxdXse0p0lQxOTFOc2OdTnuApSNOHHuWgkmIpY3t2KhU4Nga13HQ2qCUTaI1vpAIMyCXq3Pw8E0MOksURxtIYVhba2IZTX8Q02mvM3+9Q63RIBoKRkYqSGKMbVMtFnn13ArFYsByK2Sq7DFoGQpeSuA6BAWDRcidd93D62+8wki1wmAYMjU+zkixgJKS0kiFxvVrHLzjPn7ql/8F2jgEqWKsPkovHBIlMRv9Hr1wSL1QJlEpju+BNvS63RtYJzfm/Mgm2t5Mh3snbOWdBhmLdznQ7+hB/tPwlXcaYWWyEIJ3+M+WeYchnU2YpC2RQmA5gmMvf5fOygI7D9zJ89/7PD//j3+fE288y2vPfYFOcxHHsmhefoNUaYrVOusLi1RKDRbmLuG5LrkDI3hujm9+4d/wEz/1T+mmCUvnXiGWMQtXr+BJjWVDp3MdrQzFcp4kTJid3k84HBImfQaRRxKucfLNHzB34QK7995Mc20R2yoQlCPyxTG++/X/kzvu/SmSoIJOmmy02+w7cDsPPfwzPPbNL/Hggw9x9IVvoBLYu3MXV6++zv59N7Nv117URz/N0R9+g+76WZauv0IpGMeWPbbs2IoQRZIo4sQbz3Lo8J2k3ZRetcrUxA5OnTrG3//4p9h/4CZeefUFriwvsHf/7WD3uOPuh/jcn/wR1UaJ3/q3vw59QaFc4eTFN/iVf/IrPPKl7zPsrzI6Wb5xVQRYJERRG9vOIXDxbYGRHhY1wv6QpNcjP95ARy5JqsHO02+uYukUhCRJUpobzUxPnSbEscJzbYzWhHEEaMbqdUZrIxgEy6trdDprLK80SXWKBHZvGefS/Bp5x0cLgyslTuCRk9n2I+fb7B4rc3DnCK4nsaIuiRDoxEZHEWmkCVwbdIBKFZ5rMRymFHIeURzjex5gMVqtZHp/S5CqFCsVBJ6P7/skacLBOz+ANmTJnT8+/9nJ8JPZw0gbg9kMQtAmw05lXohsWpQahesGaEugTOaBUDpDPaUARmBbNrExGOsdzaXAmDQLV9KGYRpvPsbIkIlaoKSgn1p0ugP6nY3s/38/mwYbnSCki0p1Nt0O8ug0RquYNNUIS2KbFPXOh1qITe6QwpYe0s1uROk4FPIFlMrCBSQSz/eIozhr+KUFKtPpZ4MGnfHujcpQd9rGClPCwCYX5PnDP/h9Pvn3f4q//NPPbj4Qsgjyfq+LtCS33HobszPT1OtVZg/fxOyWHVjSxWlvsGV2hihNaXcGXDh/mslGmVNnL3D58nUO7RzLjIwii/d+7rm32L59llpjjCtz59izbQZtFFIbEp1gy1OkWrK02OXyyhJ33vP+G1Yr33rz17n1YI2kHbC4Msl9Rz7A828+xgsvfIOn5SrN/lmSVsLaqMWOWsj80Q3USJlhmGDWinjTY7z/wE+za7TEm7lXmPRsdk99hEtXr7NxPkZUHVzP4fNf/n2cOM/3nj3F4Z0zHNm7k7C9QmwM3aEhTg3FxiTXLl9nYudueoNMAzo9MUEricH10NKn1hjDjBQo1muMbNlH/NijXDxzEREPKZcL+H4RIS2sXMRIyaXfDanlPVaSAetNw/RkGdHrs9ZNoJxjba3P5GiOVNt0+x3CRBLHkmSocb0CeT/ParNLPudQKIyQz6XkygX67RAVChKT4lsRYatNvuDhJD2iXpOuyPHD105SLDlEA49+XyG5hE8RlMbLe1h5C7USE5suWw+Pcf68BL3CsBWRG/FoL/fwcwWi7hAjFZO33cXG/AWSWLBl+07S3R4rV88xHGhGSi7Kmb5hdeI58t2Ats2oiM3ptEHgolGZll9rbAm2lemm/+zP/gCXAZYcyfTkAFi4tsdItUw4iLCUxQsvv8GRfVvoRE2kp6mWCgzCLqOjIwwSzdEXT7HRDxGRYf+eKkiPykidVqdN4rgcPLyXaqHI4uIC9elpVBrSGBvjzeOnuO++ezh69FnGx7fSam4QBDkWFq5TrIwwCCNuOXwAef48rfUWxUY9G0LaEiOytGRjIFUpBkHiCoSGKPTotlu4lsEWhpWlRTxbUqtVmZ9foDRdZ+v2HTz3whusr6/TG9hUywG9vubSQhNp2Syvd8i50OwMyY8aZqcn6K30CfsKKWBu7jJSuExMzBIEDu1WC1vaCFtie7Bn1608+L5/TDRUaBuGvYR2p5lRvMoVKoUSURqzvLZKkqZgWaw318gFNxAofoPOjw5bkRq16eyzNgtU8rcr1s3w7GxdsokZE2aTc2fARWa4p3dMidnGFkuC47joOOLNV5+g313jue/8BdKVnHntu3R78/z57/4iy3Nn6He6BEEBIdNN1qpNb7WDkQHaiRnbtY9uc56k3+IbX/hdts/u442Xvs7k9AGcXIX1xRMkYZ9D9z7MsNPD9sdwrcscuuMhjj73CBsL17AtSX10C8vRZQbNNW664wO8/8P/gMe/+ofs3H8Py4tXKVcqfP/bX0DIkG7rMmGnhBAFatN1Tp94jZGRUaKwTX16K2E4BJUwUDHnT53nIz/1KV559Yd8++tfZHnlAjt2TbH/0P2EvZAr187wG7/1Ay6ePcuJt1/nhe8/QaHiMLV9K9XGFrBX6A4bfPaPf4tDd97NmZPPEIUaV9TYufdW/u/P/R8ERUO+XKFYzPHdx7/BzM4Zbn3v/bz9+joPPvgRPv8Xn2F+/uoNLSSlBsSRwjgRmAgvl8c1IamdJ9Yx+bERXK9E3+qw3uyxrVGjUCyytrpKsVpjz9YJjp04jdaC0VqZRn2EpbU11lY3sCwolQrML6xyZW6Rfn9AlCT4vsfOyTqf/umH6fVCvvnt71H0HSJtYbs2BUcgbKjmAkaKOcqezcxUEdtReB6oYQ/hSGzhEHg2Bd9hvR+SqJRhlLDpgsVz/U0ziiGMIvJ+gBExg2EMRlMqFPG8iDAcYknJBz98xyY55sfnvzgCUJC+E9Qhsi2G1gpLSNJUoUyKMJt3h1Y40iGNIqTtbU60DEYrjBGZxMJkmKcMb5citLXJjM0MzLExKCxSrRimIZbxaMeGa3PXGA4HxNEQZTSe6+LIgO6ggzE2QlgMBz1s2yaTbmS+DoXMHlBpiuN6GCHQShOnQ/KFMliGwHVJNuNt4yikl8aMlGsEhRzNtd7mWlmjFRitUVqTKo0ls2mZJUElEZYlSHwX0+/yyU98gi9//q/otNaR0mHQ72FZFvsO7SXvSHbs2MHd99zF5OQMge/TarWxgFJ5hFSlnNdX2b51G7bu8fL3nyBXzLGj+h48L9jUkho21uYYNCrUqzVUv4Nl3pnGg2Nt/r2is5CZ5MYi7kY8QXdwkNHyLPfcdpgfvPocu7e7qPAqL75+AUTCyPQYFcfi9JvrbKnvYctNFaLOdsYnN/jInf+GLz/7KN954lE+eMtv8urFv+bFo9+meTEmCW36cZ+Lp7uURIHtY9t44NAeds2OcfXcFbzAxnaDbEwkHITWTIyPk7g26UAiClWuXbtE0bVR0uLs2TOcv3iZW27axczsGKSC2+9/H1/94iPofkKxYGE7Wd0ngxDPTtCORyAFI0bTM4owjIiNxM/b7f2FAAAgAElEQVTlWOsOsGXApdWQjVYLy3VIVEQpP0Lk+owXAlY3BhSLHkuL62zdmQcUvgwxbh9lQlbjFlcWOtjSZrTmYWFRq9YZmTnI+JZF5gaXCGyFX4yxHIkeKESaYOcqJFFEaSxPpAacfnOR0njARGMri7lVrl1aZGbHzaxeexuUxjI2Z4++RGWmQsHNsXj+LJFnsLFQjkOSSNLu/A2rE0uCUpv3Aha2I7EkmxSlBGFpHGlllC6R1W4aJsxdPsaW6Rk63QxpurqyTKVWZaN1nla3hS0cVpdWuf2BwwSyQtsasryyTHspoVgqMjmxhVMLbd5731289spreJUiG+11Ov0UkYsZnZim1Y7Ymsuzf/sML7zUw3UAkVIqBkyOjXP0pZfZMj3JiQvX2drYjpQ2R247wrkLV2iMjXH52hxDNE8+/jQf/9QnsB2JdAxos5kbbXBdSZxqTBxhCR+RT+lurDA2OUrOkSSBhyUl3c4QFQu6/SFuMGBmukTBN+TyJd568yqtKEW7NpYKmXDhWizZVrI434wZza0yMzPGPQ/eConh+sI6hi6r66vkczkcxyZF0G/3qJdHmJquY/I51vt9CkGJ9rBJuVjCCGi128yvLBGm8SYKVGDZEum74NxYs/KNOD+yiS64m+xmssTBdDMuWxs2gw5EpoXVZPpoDbFOMUpgjN4EuQuMyKYtwspMf1JaPPqtP+HssafZWL2MShVCGbrNBH86TzLss3z9LTqrQ6RtY9IYS9rUKxO0ex0mts5gIodadZo0NXR6ba5eOkk8bHJx9Qqz+4/w4lNfxJWSzkYLoSSL8xc4cOgDXD71BtJ3eeOVbyJFkbHGKIuLl8kX9jMSlymUR3n1pUe5evk4i/NL9AcvMTm7ix377+fcyWN88KO/yvVrFzl5/G323HoHR277MJ/51/+E40ef4+Z77+bFZ56gMVnhwC0P8tbbxykVJ1lamufYa89TqZRpd2uoqM6xV55nbHInd971Ab7x7S+h0g068ymjk3W6/RWWVgzHXjzOgw8/xIHd99PftcZrrzzNrr2TjE3s5PLJZZQecPjWO2guLzA9vQWvkM/MKDN7+PTP/jxhM+KvvvaHXLz6BidPbb2hhWTZJRyhsYVAOD5CCoyQCJ2CJQj7KZZIKdQngCUGrRbl6ggVykiTsm3bDPccuZlXjp9maWWdXn+A7/s0RqtAZlJ1pWClGVEu5ynlAirFgFLg8sxLr/PU0TfQInOD20hy+OD5bKmXqJd9RnI29YLA8yNUqhHaRjiGJBX0+wPyXoVyKhgkWShOmiqiVOG7Pv1Bn1Qb8o5Aejb5nE2vD6nqUi6WCaMYA/h+wPjkVkpF68d0u7/j6E10YaZ7zhoyo7N7QqUpxrKwHJtU6c2QEc1g0MfYLq6vSFSSAfq1YRgPSaOQ1CiiOCFNE+I040QbI9BGZbHcaYa1SuMUIRzCWDC/sMBGq4nWGp2mmcnOWAyjkMALGEYRGJ1xrEWmvbYdlyRNECiwXLAUSRqjlcF2HfL5UtYEa8UwSRBRjBGCYrmEGGqEY6FiBSrFc33YnMprozfpAcCmYTFNFUKCZ0lMmCB8l3armQX85It0NtYRlsC1He665718/O99gk67S7U2jhv4OL7PRKEAOos7l8LmicceY9BbJ+9aJIMBUS6PMhpjvZOIZqhWRsjlCrh+QOAHaJFNvDEm+9BJiYuF44XY/o/0pf9Xn0F7L8trc9SmD/D6xe/w0B0/w0rrOguLf42REktZtJsJo6bPxukhRixyLb3KL37wISZHd+JZitu372HOr/C5Z/4dOekSWn1CFpk9MM1UfpTa1p/mvsM3M+EOWGutcf5EB2tkBBF16ccRWtkUSj5qEOP6Ls31NrYnuXDidaYaZXrN68R+g4mxOtL1aHYTBucXObB3ioXVNntufx/njz5Dv9PFIsK2bCKvhGqHNMYlg1gSjBTQqs9cq01FauJE4UuXC9fXsSyHSrmAUDae7+Hl8sxfW8cGdNInZ0m8fEDBSWkP+sAIttWh12/RXO/jFyvs3lZnasIhiRRgsbr4Nnfc2uBiu07JjUiUQccDdOQgCjmCQo2k2cUv5qETcdNdd3PshVfpDa5gp1Vsu0J7/ixjjQImdlnfCKntmibuXWejs0aEi6djBtEAKXMkrkMS9W9gpWSeKssCrQVGpwg0tudgG43WAse1SFSKpSwsafGZ3/tXFP0Cc9cW8HNlLCulUCxy8vwygeex0lxDWKAtyas/vMC+A1Ua1TF8y0MJgRu4zM2vEjgBP3jmJYQlKciALfv3sNLuUqhVGfQG2FjEOqZU9NmxdYJkqFhdXceVNsM0BBdWN4Y8eN/NlHyH+esLXFPX6DZXuaZDxicqOD343nf+gvpEjbsfeAjDANu20QpsS2SPbwEKBy0VRx/7JvXGGOOjozRXlsjnKqQqxC/5FAo5Hnv8aSamxlldaVGpFIjCDo3RgEnjcu7qEqmX0mxLAl/QVwI3sFlTZaZcwanjFykUfZZaa9Qma6ThANspMFIqcPniZXynxNzCFRqW5uLxF5i+5U5OnjrN1PgYs1Nbefm1V1laX8EOXIwx2LZNmqR0mx1q1dEsEfb/Y+dHNtFZMk7GQcXK9HqOEEjHIo1Dzp0/wUtPPc3a+nlU0ufOe3+Gm+9+H8XyCJA12MpkjwulNetLc2x0O5w6/n2Ofu/zGJ3g+Q5hP8azA8plm6i3itEO/WbIZGOa1eYChUKJ+bl5pOVhUaC90aPglol0StId0F5ZxlKCNIrYueMgawvXuHbuh+zce4Sxxk7mLp9k6fpVuiuf5/0Pf4rVpXNIAbZW7DxwhObadVYWzlKoVmmvr3PvfQ/x5HcfwbdtpqbHuHzqFYqBoNfpcv7k09x828d5/slvY1tbeObRr1IpTFAfrzPe2EY+yJMME8bGyhw+/CC/8sU/Z6CXSKOUq1cus/fQQfrDRYgc5q9cpTqRY8LdwYP3/jS91S7fevyvmJ4+wplzx6iO5nj+2e8wUR9lvHGAcqFKsbANPx+QpAOK/jQ/fOUx3v+hnyZftFlZGVKtFxgdHQNR5IkfPEk+v42CX+Pche/f0EKyLBfpe0izKfwxCiEdck6ASjWrCwuk3pA0SvFLNYSlQLp4QQnLcUAn3HvnEVobGxw7cY6lpSaWlBhhKBUyTFicKsIkQUY2oZ3SHoScv7rCMArxNp3ZtpRY0sJojePalAIHpTRLnRDHcihLgTQWSsV4QhN2FJ4rSZM+SeQR2C6WErQTg++7mbbfJNRGqlhCEw0iWu0BriMyFNimEa6QC0AYHvjoJ5D8uIf+u06ShJlswgjSJAUyM6E2WbhSqhM86WS8UJNNjgbDIbajSfMpKk4zikWqUUmSaauTiDCJiZKYKEmI4/RdFFucZNMaaTI5QieCa/PLNJtNpCVIkwStsxjgJBqiRcadNTrjNYMmiiKEzjZqllG4jo8wCZ4XsBn6jZA2KhmijA86Bdugk5RiuYRRBtvNPhrhsIdnexiREW2Ggx6uIwm1xjYCbRkkAiUyQpHt2Iw2xnngY58g1LD31ns4dHA3/9dn/5jW+ipeLkA4OcZGxxgpVVhYuE69fuhd6g1okJJeu8vU5BgXTru011YYr5ZoRwOMU6E02shyADTUGi2CQhnX8yjVRinXJpFSYsgmfbbMNNKtlmLsBseL7Zn9JHu3LtAelOluDHjs2J+Tdspc6+U5eLNmbW5Ip5+nfTkziXYHKe/Z+w/ZGAx5/jt/yT/9hf8eV2pazXVyBY8iBxBRmwNHZqmV+1SG+9m9RbF69RIdv4irEvxqmaS7QX8QYwVFwvYaq+uS3Xt3cPLEVYRtcB2P6VqOZmLh5MapjRRARXT7CUEa0+r78NYp7r7ndqZ27uTfnz/JYH2JeD0iyEWMVRyElLSaAyqVgMRIxqoFmt0BV5s9ClZKfdRlIPOZLAFDGEf4+SIqtSnkHSrFAsbEuEhSR5MMhpTzFoRrRO0NNloJ0xNjTM+UyfuanC251svxV1/5Ju0CKJ1jZJvGQmMPWji5LcSBYLA0oNU6gQktBpZNAhx76km8ikttpMH64pDxmUk+/JOzfOc7LxPrCE8qFl85jTvpojsKtywI2+lmkmiMkJBs3MgHVwY10EYhrCz2WwoLTYI2BimdjExiZQQRlShOvPU8FTcHaFTcp9Pvo7ShtbZOwQXb8zBKYcQAmaty8WKPUj5HdbTEtWtzKFUGW7F7doyNtS2s9bt01ubZufMQuVwF1/WIk5hqpcHGhgEnYO+uvfzwpaOUcnmGcczaeov62DgriyskccKZyxeIh4rb7tmDijS9XodGvcGyWmaikOOrn/0dbrnzAfAMrgLHVigj0Gn2tUkxRH3N6tIlGo0xHNui0hhlYW6e1eUldu/cyWOPfo9de/Yxd72J5QQsrfeYajRwRJMTGz1iSyD7Do5lyCmP5TBhxDWcHSyQbniMb3W4/bbbKJdKBL6P5fgMhhFhb8jE5Czz11cQdgVsjzgNmR7dScEp4/oejz//fbrDLqmlyClJqVhio9vFcRwq1ToGxXpz5QbWyY05P7KJTi0LS0qcTdGGUQYjLWLg9/73X6W9PIdtVWiuzVGu5Xnlhf+H86ef4pd/7Y9ZWb/O3PUzvPjEFzh028O89PTXSMM2UdxFGui1+gSFgDQy5PwcSTik0KiRxhGdlT4YQXfQJk0UjmtRKOXp9iLi4Tqzo7fTXrlCY8se0tY6+/fdwcljz2Ru9oN3cunYywRuwIWzJ/Ech8bELNJxIe4yPrGdYqWMjkPml6+yvr6MEAnT05MUcnnevHQBNRww2pjCMgPWmxfpdJpI22X39v0MBkNe+P4jzF2/zEAtsW/fvWzbtpvF1TMsXj+HRQ7Lshgbn+H06VN0ek0cdztTM7vZu9uwsHCJ9ZU2ie7xnrs/xpNP/TU37b2FXmuFp558ivMXz3BlbomcW8D1HPw4x823fYT2cI1b9tzLA+97iKhvePqb3ydKh+T8En/zyJ/wc5/+NX7wN19h756d/OY//2e02kOU7vLKD7+EX7TYue+WG1pIKukh1BArKGPiEJXGpG4W5+n4RfLVUYzWXLp6DYnF1q0TOLbEzVUIwx7nTl9g102H+Ef/8FOsrq4Rq4QTpy/x7Muvc3V+iSYaW2ZGqNZGh26/v6knzWLg41SB0cSWlbF/U0VsFK4jGcs7WUNsYDBUBLYibSvIy0w77UpUaBirCwaDhJWBTaQEG50uru3Qj1MKUYQtDBvdHvl8DiEkSRKSL+QZDIZUqqNMTO3g5oONHzfQP+KEcYKUFsakJCqTXCilyWJhVYajkpmJWRkNwt38/QStFLFKs+jtRBPHSRZ8ojKzXxpFxLEmjqOM7KEVSZqijCbwfdqDiGvXl1nvdEjDkDiOsMiwndoAaGwjSTcbRiEk0rJRKkY4FrZjA/ZmImq2oTNKo4SDpTSWdDAqAWlhBLieS5JoYEi5XGej08axMgSeijTKpFhSZI2+sFDC4FqZ296VFpZ0cGwbJ8jz9LOP8/yJZ7BtmydeW2N8YpaN1irRsM+3v/4V7r77LrZunWX3nr3YroPr+qg0ASmxDFiWoLOxQk4Ytu7ZSrlSZ3b3fsqlIpbKPC9GCPJBgFJxhuizrWyTmEF4wQhirfBsB9dxuYEhdACcnH+GIGezr1ZnpSlZal0Hew5rNc8EO4hNi2BhnZW1BKVtHEujVlbYc2ias8e7PPqNv6DvBCy3XqPoj3LHoffwte8+S8Wx2Zu/iWIQ0m+nBF6B0XoRu9RgcW4JPyiQa4xQrXjMh21cWxKngqmZGgqbixdP8Z77HuTM+atcvXIZt9/m4lsnmNm1lyTwyRVyvHXmEo1GmeFQcftdd/Lyk8+jwxbSNlxaaDPRKFCwbVqtPpYlKeZ9piYK9PoDVlcNSdwjqHrEkU2XDt2hpteLaNQUjuMQVEZZbTeJdAQqoZJLcSybldUB7bUuM1vrlCs5/MAm7reRTp4r8/Oks4qck0P3DeGq5PB7b+flx5/F5FqI1CHIVYiSPHGyhh5GIGK8nI2lfXr9HqFZJYzafP5LV3ASg0kSvILPlh07iOKQDT2PthRjkx4bKylIi14nxgluXLG8k1wsNgkdZjMiW0iJtLO+RVgCrQW2hOW5KxR9N0umzQVgwWCYEicxM9NTNBev4xcLxD2NIweQJqw326yu5vD8iOpInW5vwCCG8OR5bKlJhwnFUoF84CAdH8tyUVHI4tICrpvnxOnL3LZ/G3ESsry+Smosdu/bz7G3TjA9NcHJM+cp53wUmmNvvJFlFTgW5y5eAa0YKRWYGM3BsIWdG8WREiMSBhGkceYliZOIfD4gjEKKtuT6/BzSsrn9jiOcOnGSkdE6H/rIh1hd6yGXF/HyI9x7+31Eg0Vmt9QpvnqF7y33KRYdRlQfl4jISuik8NDBKZbXVvCcOr1ehziOmZqcIRz0cC2XarnMW8ffoDHaoDhSRdma85eOo3/4GM1eQqlSIlIJri9pN9cRAahuds92e31sO6N5Oc7/z+gcj3zx95jZcoC3j32PX/zv/gBlFIk14OTrr7J+bQnHqWNMSLXWoFgZob22RLWxjc/96f/A0rVLNEZ3YiLBay98C2JNvjBG93oLV7rk80XiKKRSKtNaX8fzbDqtPjpOsFCURifoN5uUfA/SzDVfG61zfaPJ8uW3OXL7BzEknH3rGDPb91Kf3s7huz9K0m9j58scOHwXYbhKb2OB1vIaxnKIVES310YLyfjUYZqtR9mx972cfOtF1pdXubB+knAYcvToc+w/eBNxv8Py2jL12RIbnTmwXS5fOM7DH/sFLpx+k3ho88yTX+HIbfcwMTPNtu2H+MPf/3XKow7/8n/5FQo1G8uBXrvFxfNvUymV6XUH3H//gwxD+MbXv0B1tMjJ86/SbUUkEob9PoEfIH2P6+cWSfoxX/3CZ5nZuR1QvPn6cQ7ddDNGJYxPN0iUS9R1+NZ3/iPKUhRmJvn633yD5ZV1Lp5/g/HqTmo79zKam7yhhVSszrxrirJsmzgaZgrSsMtwEBPFkPMla+sb5AKPpfklxqdnEFaXfqdNq7VGa2WJ2kiVQtHHmIA7bjnAHbfsJ0lShmGfl4+d4onnXttMvzJoY0hVAgiSJIu7zUywmQltOIhod4eUfJuyFNm0L8kMf1IJkliDdBhupHg5jWUFSMen4mex0lLkaPVjSn6A43pIE1Mo+GhtEcYpxWKBJI6RloXE4pP/7S9lWugfd9F/5xFk61XbdjPUndaZwRAyukaSgjakFiSbhJ4oSpCOIk4SVJySpClGG5I4yox7CpQliZIUlSakGrQFicmkGJ5t4/s+5+ZWGSQJQmuUTpAC0kybhjYGS9ik70ygNwkfSmS6X9910SojfmhhsGSWdBinabZ1sSyMytblwsoM1yJfREc98rlROsM+wiRYwiWMh+TzJeI0QSmNFDGOk816LSnxbIvAt0lV1rSur8yz54MPoGVCF4U/SDj13DkEDqkybDTX+L1//VuMT07zr37nt6mUKpseFIElLIyTZbfOTE0yUbyPs2dPcfeHP8qVsxdZ3Wjj53LvApb8YoEwTTPqiBYkqdr0uhjiOCFfyJMYhTHpJnr0xh1HShZ6b3N9ucVsrcqIX0fZgn0fX2Gm5rF8ViOlz0gx5vqCQmGx/wOP8LXvNSlXGxxdOIaxQjzX4r+59Sc4tbjMLz10F/n5i7iFPNcvXqQyNc2gvUqUFgnSlN07tnJ14Tr9jevkg2kK1S3kCoK3T5xi3/6drK112HfTLZw/fYr1lSH91RaqXKSxYy8pYNohrfY8g26fZt9gRV2CeAG34BOLElHSxZOC1bWQtW7ElloJ1xWEOiZvG7ZOFTHG0G4liGFK0bdQXo5Wr4PqD1mUgomxCRxLEOR9iIYMBiGO5bK02CRNNLZl8GWK1BFoheP4KGFYp0/r7Qi/EqNshTCSK6dd/OIErdVV0mSAsiNKEz6ddpTh62KFV/WwdES/2cUyPo50mb1pO9bGAGlbdAZrNLw8XS3oxEVKW4e892NDnvgLl4QEWztY3o2rlYzmpbClhdECpVMsKUliBSLbZklLkGpDrEMe+eLn6K4PqI+XGHYHjBRHieJMT728OI+IY1bXI3Q8pFzK0+l1cH3Jeith2/YyV6+us3uyQLVeQgoXvyoZqzdYaq1QrpZYXY9J4oRSuUR7o43tCnA8Um3IlfKAZH5pg9baOsMwptfZoNMdohPBttkJesMucaTxfY9+qIj7A1rdi2zdNsF/+Lf/G//Tb/8HhKtBCrT26McDHMcmcD2EiNm56wBX33iS8fEJaqUKF8+dI5cLaIyPM+gPaHcX2bNjF5PbtiDsmPXFiCcee4W2cqgUfDADrg2zDatQgm05h4V2m+GG4sg9FaSQFItFoihkbW2NWqNGq73O6OgWXFdy6cIy23cfpFqfpBMZ8uVSlkZrZ5KaeqVEbxBjIot8MUBI6Pf7Gd3rRr/Mb8D5kU30iRe/yZvP/g1BYPPnn/lV8iJH0Jhi9eoy0soxs2uWjfV5xid3cfnEcW67/yfQQ0EvbuKKGrM7DxJtxJw88SyF8hiL106TL1T5f9l7sydLj/Q+78nMbz97ndqrunoD0N0AGmgAwwFIDoHRSBxLQ0pcLAbJoEjKskWHaF9YDNP2BUMKWeHwjRyWFeEIMSjalmRKoSFpUbQmyCE5I84AA8xgR6PR+1Zd+3L2c749M33x1YyuNBYv+m7eP6Ci4sR7qjLf/L3PQ2EodIIUUBQJfqAoY013bZViNsKKnEn/AIygufIU8WQP5QAyYX11BcfzeXT3HfqjMUjQxYi97R329v4R494Y1wt4eO99WgvLFGaAI3ykLsjTBBl4ZNMhb9/5Eq6y3LnxJpIZjjAkyQQhHIwec+P628hSEtUbFEnOzqO7RLWAdivijX/3O9QaIaPBiGa7xgfvv8Mrn3H44r/6X1DCoVVv4jmKQe8A13UYT3psrD7Lgwd3yNKc9z96D4nP0nqdZGaQ0uXNt/+Y00tXKPIppfTpzG8wOopYuPAiDzZvEEU14tmIO9fe4vYnrxOPM+pLlvNnniI328T9CUVWMjsa8KWd32bzzlVqjSXCepN77/0xP/7Tv/xYGykvq3yWFBWLwHMMSZJQioCiGON5EY4b8tLzFygKS2EMs8kIlyrjmuWafHbMaDQg9A1R1KbV6JCkM/JC0+12+UK7w2d/8GXev3qN3/3Dr5NmxYkootI+2xOAmpQVcD/NcvZ7E1xXUXMdar6HJyxzvkMiwQpDHqf4gSJOFGQZxqR0OnPYQcZYCALHIfAdrCnIkRRG4ivFeJpQFCWddps8L3jutR/j9FxFIf7eKfo/XFK6aFtliEttsCfaqm/LlgqtMaJCG2JOMslSgKmWDq0xGGPQJ1NmIR1QGpGVjCcTJBqFwZMOJpsRRj7WwnhWUTHi2YwimWK1pjQGJRRWSDzFCXKuMgNWatoKQyQtRGGN8XiI4/qYssLt5UVJGISUBrJ0Vk28lEWiMEKAruyJ1hrKoiBwfJI0Jwhr5Kay/lksfq1OkVXsX4GgHro06jWkKbDCYThLSAYDmueWKIuCmluvBCgYhDHkZc5o1KM7P8d4MGTWbFJ36ijlVJ9pmlcXgnyCEmB0QTIZ0mjV2T/YYXFhoXrRURAFPtPDKUIJHM9BKYGiQo7WorC6RJQGIR185/FZ6ACG6X3KuM5Se5l7e5vEOzlL5wsGN+b4wPuETz//k3zpxpc59/RlhuKQ5194hcnRtziz3mO+fZZa+DLaOeTO3U/4jd/6X2mGc6w98Sn8Wh013uXcWotSD3Ddknb+gDAfMeknLM4/yVHPsvtwh3ZXkSR11ldWyfKSwG/RjWq4S2scD+5x6cplbCnY3L5PPslAGaSqU+/OcbDXY3Vlgdk45YnVJh/dGyO1wiYJrZpDnvv0JhO8oE4t0zQ7HoHSnFlx2HU0ez2DF7nIsmB+LqSwlnq9zqWn17FWs9KpoYzD7QdT+qMhykriJCeMIDOC0Bp0aQiiGvX1K7zWuUh/P+HDD7+OuxAy3unz4P27qHqLspAUhSbOLeG0QSOY4Hl1MltSmDGpdTDCUg8q22hDQNHMuHS2zWzyJNJLGW0nNJ4+jdMcMtxcwJ+/g9ODQklGk+Sx9UlenGAiT0hgUnkUxiCES6Y1rnLQpsCUCpTHe29+BQEMjwcsr63SOx4xm0wpygwlJKnv4zDBiVyCRo3hJEFaxag3oDy3SBDBONdMtoeszEc4kxDXlcw36jTqLba3tihMjVK7rKycYTgak6Uxb1y9yZOnz3P1/Q/w6zUGhz0c6aIL+Pxnf5h7d69RloYyK2nUaghZEvkexVSzsbSKTWE2uYWvFLG2NJQk9A2lcZBSom2G1CG9g20OD/YxtqA8tUGj1mau06JMUsK5JqPRmNXTa/yjX/8SP//znyWsK05vNNGTgPcfHvDyhXWSh5uk/RLhhWzGBXKW8fyFLoNJRLNZYMYJ84vLTOKSIDFIBZ2Gz9ajbVaW5oh1zPKTp9kZHnDr6l3OnX2eqNlhlpRYoytIhOcwHUzQZcW7zrMpe7t3H1ufPK76rofoIi8QwkMJxfDgEZnnc3TnPeLYYHPJaNpmfHTI6KiHKWIe3b6OEh6vfuGniIe/BxicIKDZ7lBvdMmmc7iex9b9Ozi+wvUrmYHnecTTKfFsiig0WZITNhTWCsbjA7CaPCkAgxsqLB6CGCksWWEYjvp4QjCeTBBWMh6OWVys43oeo+MptQhKOyUtUj7+4GvMZtXBqsxT6mGEDkrGk3GF1tISN/DJkoTQidBWE48LopagLFxcTzLrJyA1WaLpLriYMODu3TuYzDCLh6AWEDJhOJhQ80JmsxjXGRBFDdZPL6OckN5hD0tEFFmeOv08n7x3Gz1fMhvndFc1ZZKAsnhRDZMXjIYT2q0aiwuLzC8v8N4775LMMuYaGwDK2R8AACAASURBVLQXr2P2PPKZwvEj+jufUKaaxXNnkaFh89YdDnYfL50jTcb4gY/r+JXO01qsniGkQngBvlfDGIPrOCAEeZKgHB+hc6LQQzmSJMkoSk3N90imE3KvxFcSbE6tPo+rPLLymFdefJ4odPng2l2u3npAkuoKoSjEySEWoJpC5llOkpY4riRyIS8VuTYYoTCFJs8rzJhTE+g0rw7gZYbnWRxHIkT1fJ2VFmRFo9FW0+m0mE1ihFA0miGvvnblO/jG79V/uKqcLoBFC4tSDqa0J9SHE8KPAHOyYKeUg7XVZ661OdF0V8KbNBkwmo7RRYYuNGmeIA0UstoUf3R4TJnlOH5AaV3G0xlWl9UCo62eQC3gug6mLHGUOsFyghUS50R3jXIora2WpZWiLKusJVgKXWHvMLaa+tpqom6tIckSmvUGxYnYpZQaP/DxPJ84iZGOA8Zi8qKSSjkeUgmysqCtJBaHbqeNF4TYMqcfTwm9gFya79BNpJQ4UhFFtSoSYgx+4OE4lRJda40xVcTF90Pi2YQkzQhqAUVRMouTarHTqZjaSioKU2B1dXCu4jBVnMNVoFT1mZWlqVBLj7GiOGQ489jcS8jDAltPOHpUJ0Tg+C7f7P0h0yLj+U9fZu2Cw/u375BcC5Gr1zjYfsjs/grrL0Lak3g0OLN0gU4tQhrJeKZRjZi5bhPRT6mHDQLHxaicTlgSLtUZr3QZHT5COYqgEbC1dUgzDBkep8ioSVEYCl3gGU0yTjHCMt9s8sm1u6xfvMRwluMPjzj7zHNcffebuEZjZIjyMzIDQmkmuaSpSiZFhl9zkULRCetMapIZhslkRlR38WsuAdVFJ0kypoNjQr+kFQqimsBKhZGGBjX8WvU/VRsXiUYaydOrZ9lo5Bx5O3zfuZ8jmyVsL37C/c0jUl+RFTm9cR/PjRBlQlp41DoB03hEp77O4HCGUpI8K2mFHWxRoKTLeFgwigdM4pRmd4n1Ypev301ZT/aZ63Y42O9TFCWLUeex9cm3l9GMqb7TZVliTfWq8+2BhrUS5UiEgThO6bbbSEqyLEM6HllekqQpQmsKKfHDEFco9nePQTokcUKt02CaaKTnk5YFK90F0rSSP9XqNRbm23TaTYyQ1GpNrIHZLMFRLv1+j5WVFQazlMWVdbK9HqbQXLn0LLvb97h+4yYHe3scHMecO7tAFIUMBwNcz8UPQgbjMefOnWVwfIyQAkd4pHmKcARlaUiTmEY9wAJzc11uJCnnzp9mMhqydHqNyXjATm+Pomxy/tJzPNzq8Ve+8CqnFrt8441PWFruslVs8pf/4hV+89+8QQ0X4ytaRUHUqGGs5tHmmCS9ypXLz7K6Umdr6xHPP3eZ4XhIrkviNGVheRnHExhfs7l5lTv7W3Tn16k12kymU1zHoShOXv0Ky8riBo12wIdXv8nZM5c5u/HiY+uTx1Xf9RAdRPWK8iVcCi3IhkPa7Qbx7AhjSvZuf0yhC4LAw1eSvUcfIxzFH/3bHsfbd7n+0RvMdT2CqM29m++ycfoCR/v3cD2JLgvCVoP+0QjfUQSBi9ZTalFA12swiyfkWlOWE7Ikp9msMRxMqDcDTFFS9yRZYQhCr9JICogaddxunbIcoqRgMNpCSo8kntJq1nE9l93NR6RJzGyW8sSlZfbvHrF0ps3RYXyyBFRS6oJmq06ep7hBE+kLEIL+/oSljTbPXXmWT66/S7MdkOewsHiKOD1GmxTleWSpz/rKGQaHA7S2uIGD1Zo0y9AmZDo6Zn1jnUcP7zPXnefNt/4d6+sbbO3ew/ECGvUWbiABl3fe/DKrK2fBLShFjBGQjFPqUY0f+4n/ite/+kfMJiXWzfADybX3vs6nfuinuF+/ycJyl3s3P6bbWeH2zS8Bf++xNdLR1gMW1tewgUAKByFquJEiS1KUdPFcF11M0VKSz2LyvCTyAsoMrEmpBwHTHIo8pTbfQKDI04QCSbPRhjKlf7xD6Pp4tRaXL5zjzPoyv/CzP0GZFfzjf/bb3HqwiSNdLpw/jdWGO4+2mWvWqfsu0sA4MRTW4rlOxdv0HXIMoQCRaRwX4sTBtSWRZ2kHAUkqsabAGsFxf4rA0mq3McYS1UKUI/nl//7XWJ/3vneA/o+o/mSCLjVSSFwp0aJibfuej7UG33FJ0xIhoShyjDXkaUpZZMTTEZhqeltaEIWm5jlYz8EAUR6RFjnSgCTGkQ7R/CJpAb2dI5KyqGyGFkDi+V6FMdOVrAUrwZ6sClpLQfW9l8ZQ5BlSOZRFddES0sULHLI0Q2Q50nHRJ4IgU1byGOW4lKXGCyO0ySumdZYhhFNlvnW1lOgHAbPZFM+roi6hI4lcS7vVJNYFp1aX2Cpyap169fKSK1wvoMwyrFJE9TrD4ZBarcG9u7fYOHWKRqOBNZY8yzk8POSdt77G/qMHTKcTsrLk7de/RlSLiKTh1kcfUlqBMSX1ehtrXQqTc+fWfba3tkmStDpgux7GgucIjvd6jLXkv36cvZIt8NrKHP/iW7foroIv52i6JU+eO8/VD+7w0mvzHDWPufzCK5RFgd8RfHRjm+FBRMNz+cKf/wLtWsQb7v+O97DO5z7/NMO9Ter1JqdWAiyWwc4OUnnkk4LZxGJyy8yVrD31FGdrhnJtnXsPR/SOx3TqdRqdLlsPPsHKgOWVOZQ13L63wxNPnefBo30sJY35FrPRPufWn0UJQZrnJOOMZrvBZJjguhECQ1lq6mFAgWSWWRp5gnKql4gzqgb9hL5ysWWKqxwGoxTI6O8esHl4zCuXzmBI8esN6jWXwBNkcUagXNLEx2lqPCHZ3h0QfvIhezsZUoxIdMGs16PMNS1VsqJ8Sunw7OIqyoc8qeMGy5w5/zRCaNbOnOJPvnIVzxnz6NEBju9T6Iy80HzyyQFuoKmvLjHfXaM+d4bXNm7x/T/4i/zhB/+U/qFHfnzIMH58k+iiKHEchdbVhNNx3AolmBcgDMI6CFVh4PTkiNCvMYunnD97hsl0RpqXdObnEUNJLQi5/fABpoDuyiqjScooSXCUxJFw9OCQ5pzH4sYak9mYhuuRpIZ+f5tPvXCZPE3oLi5gkAyHQ5I44dKlS3juGkWRczwt0ElCEEj2t3vsPNjn1T//HPv7fYqiTRDC4tIcoe9Rlg3G4wmd9jxZkfDRtY+Za4T8zv/9m3zhp/8GVjiIzFY7CnWXOMuYZSNmkxFhFLK9vc3a0hpFKTD41Gqr9I732OyN6M5tcHZZ88kHHzEZ5oS+5Npdw5fee5cfffkMf/Cthyxqj7ED9XhK4EvOXFrk3JkVmpHLdFSwvr5Ikg7xPInNFe12o7rgxVPazQhP1NhYvUJYX2V375AwcimLDGsteT4lDAO2dyeUWxZDxO071zh39txj65PHVd+dzqE1kzil3YhI+jHNdo1pP2Z1ZYXhwYg0j3GliyMd0llG2KysM8c7DykTiTUJWaKI4wNqgcPxwV1KU9Bu1RmPNNl4QiP0yMrqVqtnOb04I/RCkiQBqRAWmvUQzxeYzEcgSSczhPIZ9oYsr7TRRQGioCwEQU1yuD9mrttC5wWNlkMWu6Rpgeu77D28x/zSBnnxkHhcEmczpgMXr66riMEwxQ2hKHOEsCRHeziOpTNXYy8e0p47Q721SBQ02N/dpm7rpNEhc/PzHGwZjBkgy4LjyQ4bGxf4+KO3adJk4anTbO+8QSdv4QRgnJT9rT2CeotGS5IMQgp5iFCWR5tb7B8MeeXlX2Dzzj/EyozFbocszsnyA5RwsVpz8/ZVdnY/RNEhCCSttTkePrzJh1e/ipKGB/dL4pnluLfNmblnHmsjdebmyKcDbJGigha+qzBUy2F+0EFKRVZKpBTEoyFaeZQUFDJgNhng1SLyLCOfHRNPBEF9HuFUBy1jDIWVeFGHdqvBzsERjvQI1ZTkeB+jJH/r536E7vIGnnTJ4wHWDdk9OCLNchZbEUfjKQLJ/WvvkOYFgWexRhGnJYHjoQ0oDIYCJUp0qSkyQSNwmOaCaVqgjabVbJAmGY7jEIYBz730OZ480zyRCn2v/v+qmqTmGG3IygIhBJ7no3WJ5/qgXLQuQBtqYYN6I6E9v8hk2EObKh+dFxphDKWFUmvyXKOURAhVXfrLCo+3MNdlViqyWUJ/PGI27KFPpq2uF4CEssgquobjIHVRhamtprRV5lnI6kXDmoqBX+iCMAjI0iqHKDBIRyGsRbouRZ5jJIDEUQrfdymyGKSiyGJsWZKlBhwHaQXj0bDK8gPpDGqhQ61ZZ6XT5NRCm4NpyvFkzPriOfSdAi1B6JJLly6ws/UIpCTwfYIg4sknn+S1H3qNRi2qdgRKw2gw4saNGxxv3qRZ84j8No16iDEFnjUEzUZ1kBcC13HRpWZ3d596o858Z45aO8IRgiypLjR+FCKBdr1Flj9eY+FxL6E55/D5n5ojiX0Wz96ld+cK9UadX/pbf5v/6/e/yK/9tb/L8d5N3rv2rxnnZ5hrrGCSHBmN+eev/zbPdpfxMs0v/ec/i5vss7q0BHbCYL+HcGs4ymOSWJzIx/dcvKYkL2Li4Yzxzj6t9VXOrCqeee457t0/4pObOzzxxJPc2h7w6N4DFjfOcv7CBW68/0HFci4tvh+QxQMcXXL99h4/9OrzxNTphgPyqSbFUMNQWPADF1cqDrOc43GGUjmU80R1xek5BycsGfQFRWFotl1mieHO5g5z9YBpGeOX0Gmq6gWhsGyPNaQGRcYp40GzxrA35sNvvk9Qj6C0jOMBWEEtbOCoysJZ5IbUJKT9FN+pwUwz6r9NqmH89W/gS0VqLfE0wYxHCE/iBQ7WD8jkjC4HjJsO4x3LjaP77G7+PS6+FPHET1tIf4hvfeX+Y+uTIi8r66aSlKWpolhOtdhrrUVQYq0knhV88f/83yjTjLAVkCQJvcGQrNCM+lNGkzFpUCMrLNJoBuMxozTD8z3yWUyjVefh/T0W1s6wv7PH8kqXze1dFtptwrDGBx9c4/u7bUJXVjsTSpDnGb3eIZ12Gy/w2T46QGJxUnjtcy+z+WAPnXn0eynHhwNeeOEcR8dDQr9FWZY8/fxl7ty8R7MRsLa8QJzFvPnH/5of/olfIDUKW2Q4jmI6TRCuSysK2Xx4B3Qlb3IDj9e/+Sa9/jFz3TU++nCTFz51gZVWzs7dfRYWFnjqucs8enCf7+vNeA7FH73/iLbjsqULZOkws5au43Jnp+Ddq5/w6sunePHyZawxDAZ9VlYW6XR8hFB4QUB/2CefznBrksFoRlzuU2+2mU6nLCwsVBde32c8GVRcf+HRiOYIuz73H14Ffuyx9crjqO96iJ7OYuqhTzpNq6WW4YQsM+Rlhgo8FsIWB7uTk9trQVB3iWc5jivJCk0QBdQbLuOxIdcWzwGdG+IkRVhLnJeErsJxQPmavNBYY5kMxlhHE9VqlLrAOtUGp6sCpr2EUsNwOGJlvYvrSMazmCxNCcOQ2SQhaoTMkilBGOAFPnkcI4QkjBxGfY2mjwsYUdKshziuxBpL1Ajp7feJ2h0cCQhJkWuklWR5js4LNh98gnXWSeOC+aU1nnvhM1x971vIjkSrKWVeMEq3sFNJEqc4vsK4mjt330WqnKKY0G4q9rcfsnHuDJ1WgHJywnkXfTDHRB4z313k6GjGxx/9AbWmT2uxixOdZjC8TRqH9I4e0WlF7O1vIcRp2t0FZqNjjvpjumvfRzJ8SKPZpDlX4+ggIXKbjIeDx9pIncVVpv1DpsMBftfB81roTGOsrjQVQlJkCV4U0V5aIUkz0qQkCANU7BGRUa9FNJodtHUYj/t02nOMJzP0dIwnFFYJ9nb77G09JGh2me+ucOb8HLtbt9CqTrtZpygsndoC2vFpdbrE8YzxoMfSXItpHHPl+19leHRIf2eLvBxhUEyLjMgoZAFRwydPc1wvInQlswSSPMcKw1KnQ36S52o0Ivygzs/8Zz/yvQn0n6GiRh1PG6RUmLI8YTDnWF3FAxzHxegqy2tKjeeH1QUsqyIGRZlTWNBltdjmuT7duQjXCxDCQSg4GsZs9WOW109x/eE++/1jkiTB6Ir17Houpa6WAUMvqDjU2oBwgAKNQEp7Yjk0YAVFkeB4Ho6oVLtCiBMeta2U4soFk8MJzcJREum4/544Ii0oF6Ec4niGkJKyKKqohxWVwRBBVhqmcQzW4niK1W6XODuiFXjQWkQJiVISk015/sqLaF2ytDhPmmWcPXOWqBHhBx7GWgbDIdM4ZTSa4DebuLKB0QKGI6SUzM81qDWbIC0ChTWGyXjKwiIcHe6wuLRAo1ZHWEG95VTKdCArchodSZQ/XtmKdQzZ+lPUc8VqMOX+rYsE81M6z97lwV6Dv/YjP87r7/8Trt+9y2uf+SzbNz/mU+cucW/rFJ3WGpPWJ/T966yHbRZVAVGTbDZAGJfmQoMyleSTGX7gg9TEeYDnSKQKSSZHDI+mHB8fUOYlreYnrD39Imde3aCsbeBHD9lu1oknR2SxwXVduosrZFnKzrW30GnJ1/J3qYU1rn9ynbVTSxxvz/Ajj3JscOoOdU8zHqf4gWYhcplqj5r0iLMCvyYwjsN6O0SKMUWRU4oAEQYsRi4mNhwfTVHCqXpUOWxNprhug1OhIC8dDo4kQVwwGhqabYksYhwl0JQEQQC6AOESpxordYXTEz6FKRDWMC0Kmss+tazDbDRiliTMpjHSleSlJtQhcqNBnjxg5UWfB0dj6naOn3z5LxE88485fOsldg8mfOOr38BRj4+H6EhFOkvxw4BCW6az9GTI4eEHEqkDRtMhee7zzT/9KkZoGnWP7ORvAKbA8VxanRa2FDjCod2Z42g0qbhkUuNHHgdHfWrtDkmhadUCHm4fMD+/xKxMWZ6fY9Z3mA2HHMeGURzTjerMdxeZTEcox+JZj4VGi1k8pLYQ8Xu//y3OrkbcvHWTZFoyv9Bm+9ER2hGESQaO5PatO5w/u8G9Ow/I4hlLK8sYMjJtmCYp9cgnTnLqnRaz6QxdWF5+5fPceuf3eeuttzj/xEWevfw8aW7Z3tvkMz90gbXT6+hpQqPTIssT3nv3Do82Nzl79jT/x//zdWTpsXB6CXWwh0HQrIX0RgluKRAmZWe7z0svJuSlodc/JKoFON4CWse4jsNskhM2Dbm7SK0+pd7okMQZBpdkMEW6YIRHcy5i0EsJax7D8RGuaFF35h5bnzyu+u7abwVJFiNy6AQd/tOf/DFKYn7zi/8SJzV4nSavfeZJhNB86/33+cW/+jP8yTf+mEc7hyhpiaJqecjzJdNJBqWtRAazGWWucZTAbSqKDCbDgv/xf/g1Qq+G41UWol/6lV+h1WowHsY0GgFSGXzfp9ebUK81+Ad/5+/zu//vF3nzo6u4SuCKatuz7kXc29xCpwZdaALp0YgCpkmOyQ2UmsBxyROBkAFGOOTTDKkMjfYcrufiKoc0yQkil2ScMR0adKEIwybX3/8ynilo15p8dP1dRv0xwgkBnzQOGPeqHGXgdsjTfRprLcaDGaHTBmHZ2hySpy6dumVh/gnefusbSPcYbQqYlcRTn3wyYRYMSVPN3vZNxMEIZT3mFuaJxwPiDGrRAhefWmcydNjuvcOknzO/HNNdniOLS4ZHPRaXVtkdHrG48dTj7aQiRbgh0+kux4P7rJ45ReBIfMfFklHk+gSdFUI+YzKaYYWlFri06h6ODIiNYmnlDPF0AEWCLTK67QZBrUUez9jauQvCodUIkEqSxoeMZnVWzzyLIwS2SHGUS6o1aTLF8bwqzykd0skuqrR02qv47joLqxsc3PuY4eYDjPUoRaUTOhhblucUOrOEvkVpB09bxv0xvhtQGEO71UYqxY///N+k7lUYsO/Vf1w5bgPpVP/4CifH6BJXBVijQQqUUifTJA3C4IcFz7/8gxRpXi0YCpBCYUSVTy9NpaGt1jkl2lTilM99/oe5efMed7/6LUaDAXlScWAdR1bZa21Aa4qsqDB7pkQIi7V8JzJiLKDBcSrsnShLtNWARxDWsNacxDMErueSJhblnMiDlcQ7YUM7ygEpyLOMQucVxaOCgnzHwGi0qsyHhSHqNJBW0xvPEDbj2acvcP8oI5QKJSxFkSMk/O1f+W/xXIc8T1BKEQQBzUYDx/WZjoYkWc7X3vwG195/m1eeP09YCyizHL9WozSGRqOO47pkaUJRVHiperOD60eEUY28SPD8amKvpMCUFtf18aMIzy1I8+yx9sr//Mu/ysdXf4dR8jrN4Ge59NIRj3Zvcv+hZuP0uzjlU6TlAleuSGI14snFU+QscH/3A7auv8da0GI6XebHXvscnslwmgvcvrPFZLzN2toKx/tjus2SMtfsbt4HEeHUF6k167xz6xOihXWeuvhkpYquNZj0dwnqi6j8Ls880WBtucNo2OWrX3+X1bVFxskQJSVRo0EmxuSDA5yiw2TW5vjgGK0zoshjNk3JtEMtAptoSgTTrMAoS3niOzB9SbPpUFpYbkccDBNsAWdOL/Boe4Dne9y5OSBoWty8wDZqHBVVJGjRbZJrAxLGgynGcYhnUxAuQeDguj4ulkIJ4jjGGoWhwNGSwhocozCuYeH8GTaegre/uUdrvUk2LEhTSdN3MIVL0PHJjmJEc5lvfqXPKy+vk9SPWKp3+NLvnmfp9C6Lzc/x0k/+MdtvNx5bn6RlQVirXq+DIMIaQZIklU56rCkL8AOPyC8RZY4WkmazzcFBj6effpq33/kQawULCwtsbW6jy4Jev89gkuK5PmlcUBSGjdOnePDgEXE+4fnnzoEJOXVqkevXH7Cz38dmKcZKunNzeGVOLXSZFgW9vsM4LVjoOCx2u8zSGcLRfOpiu3IrlAXKzMh1TKs+x2Ca4odNKGac2tjg0YMHBIFL4HsYY/F9j/7okMDvMh3NaDTa7G4fsNLtorHcOz7m9u3bXLx4keH4kH5vwLVr91lZXuLF5y6RFyM0hmmcc7h/wPb2mKywfOn1ayyEPp6juLjkop54hqBe4+ate8SpYbnbIZEengBdWG7evM0rP/Bptra3UY7Ljes3+OG/8Od44cpl7hweUws86o2zlDZjqbXB+sIcj/Ye8fDgER45xbRkodNhdeUCd9P3me/MM3du/rH1yeOq756JDh1c18XiEI97/LN/9U9ot7tcvDjPo52SuJ9ybfs95mohv/CFH+c3fuOf8syVJ5hMYqR0ePHiy9zYeo/x7pSw5uG6Pl/43F/kt377X9CoR/zkj/wMed7jS1/5I5SCf/APfwOMQtuMmsqYrzeYxTmh75H2M+qtOuNZip5ZUpXy3/zq36UZueR5JfrKdcm4P+HKM+eo14b0ezNU5JEexnz685/lwzvv4no5ApcsyynymFZtkZXmEtf2PiAzU6SWHMcJru/QDHyOd0suPHWBwWyfZJIRNiR2L8NIBYXA1ZrpZMSpc6vs7EwQSIrcRcqc40FGJwwYHqQYJRCegyMU40FJrRGQpDHX777H0dGAwHOQgYfQkml/jOMrsrREGEgSiSyn6MIwGVka8yHD3RHvffNNZv0hvhciZQE2YzIZ4fgOi/48cXaAVA1c00eOHzzWRkp1jqEgrLcw6QSdxMQYhKAyBEZNas0OEostUlo1h+EsJ86rvF+tWcOXPr1xTCNqUpYlWw/uUWv5RO1T1GoNOt1TpMkEVzlsbe3geg7D4wHthUXm2x2iRpdmXaGloi5LjK5Mbw4tguA88XTMcBajlKLQsHbxRZABh1u3CaWkRFB3UkrdAFHg+hG+hOW6wnPmQShUWeJ6Ds9c+QyvvHT6e3rvP2sJD0uONhZrq2UorPiObCUvShwEVrjgWhrtOYKwhiltRfIQ314drS4vQlocpQgilzAI8f2AMKzx1tvf5NbdTfq9HnE8OZG8qOpiVWQVgcMIrASsxlEKMAgJtgRjShwpMd+eegsoT2ghxpjqoCOq65OQ1RK0UgJtBUFYx3Ec/DDCaosf+AhgZEYgLFlRYAFHKJTyKnKArX6PrIB+f8T9XY9WnNNqtLj39scsr28wnE2JpzGTeIxKY9qtFkEYnEyxq0/FUw55WXLz5l3e+ta7vP7Gn/LU+jzKUfhegDASK1xca3G9AEdJVE2R5RlJnOBIRVCrE4YhXuHiRR7SCgpd4jpV7EVYi+t7GPV46Rx3R2+xlb7DMAm5tfWH/LnwVZrpBYKFt7l38Abt+o8z9e9y/X5M3d2mYc9x7vIdFp+c8qMvNNl/cJrjWyssFYrr9+/TXUxotQzkkvHBXRqNRXrjGa3FM4RzDZaefplIFpBNuLtXcvnyebYHBe5sn639Pk9fuUg82aPR6TA72KO+sEJrpcFf/7n/hFzD3buHvPX6n7LWnSNvhdy7s0laHJBnI8LOCsNexlzk0Kk79OKEULuEjRpKWMo8ZRonOI4g8A1prJlmhla9pNtt0Gz4jBNDZhVR0CWdTAn8kt7AsORKOjJi6tVI8iFHac6z586SzIYEzSXqgUc8nDFM++S6+g5qKZF5CdZisATKIysMvlIkJufFz5zn3v1dvv6NI86eDzicdrh88Rna50ek6SP6jySLy+fY2fyY8yuneHh4wLDcYTXocjQU/Mgzn+X9nR7XD99grR7QMY9vwqit5Lg3xvVcpv0RrushHZc4TXEdByMqP8D23tu4rosfOUynMcPhmBvXb5NlJYPxEJQmSWJarRrjcVKRaZSspDEI9vf2QSjKUnLz9iGnV1vcvHmXNC1xpMep1VVu39/k1MU6vu+yMzYMxgm6yHC9iKu3dnjmqXMI6bK8coa9qzfpdpbY2zxgfW0F6Tlcv3GH/iglSWMuPnGave0dtDHU6xG+FxEnM/JRyoffeosf/Mxfwg8ikjjDc30mRc6jh/dZ725w1/OYn59nb+eQJEl5/rlLPPvcBtkkIZ+6SEfj+j6r66dxnDGHvT7P1hX93YKy2eHIWG5/8yZxXp2/2q4lGMMHuQAAIABJREFUT8YsLASEnuH1P32TKy8+z/VrtwjrEaPRiE9/+hWuX7/FymqXetBgzm1y9tkXOTzusX+wzZvXbzHX7rDUnuPpJ1/GFQGHx3s82vyYZ556mfFowtHx8LH1yeOq73qIvnBhlflmm1mWYIsCazWzNEW6Hv5eiZ1sIYRDfzTlj778ZdZfbJOrERdfWCS3lgfxx7htl+V2FykE1mi+duMrnL68hBSKN+5/GWMMixfnSCc521e3UYC2ho1XN2iIEGMrJqxFIgTMGRdjTrjARY7rC+alg5Iu6Oqf8F5xndZaQLSkQBiCesCbt/+QbmeetUYNx3Vo1COysqA/2OLu/i4vPHuag0GPehBxNJiSZRmT0YzRYMYH7x2zsdrh/HKNZFBwZmkOF9gdTPAcnyfXFsiODomEYvWZOQ73pkwnGYF0wDrUa4qsAN93mV8ImcZ1ikKA0XiyEn6kWUkt8HH8iHqjRn80pOZVul1rDUJLVpfrbD48pNGsA5rId5FNH10Yci3xXIeF5Rp+oJgmEzKG3L26xfkzy8x6tcfaSLPZhCLP0Y6gu7KCh+Xw0SajLEcbw8KyS2euWfE7rURJS61WQ1ERNHYfDJhbXASjCdwV6u1Ftre32XswQIoB46Tg+17+FM1GmzSdceGJc8ySmMP9Y3Z2dknjmOV1B0xAUeRIx2NlocNoMqtyV/kYqzOszhHKx5YZfpHRXl6ivbLO8O5bmCzB8z2ySUnYDBBCszofEMfQK6ot6Ly0rHdX+Lm//pcR4ns4uz9rCZGjhARrEWg8US1kCs+vWNFKoRwHx/ewjmBETr8YcpRPiE1KolNSUwIKT/hEyqehIhZ9D1cKHib7qGHOVn+Ht995h1k8ocxSrJW4nkeRpihV8ZNLayjLEmkVvu9gDBhdcb/BQZ+YDKu4uz1ZBqwiHJlNcR0XA7jWkOcJYHGkwuhqCU9Yixt6+J5PmsQoLFlZIqWDVKJSjZsSKUEbDbaiDEzzgocHA9Ys7Bz0SYuMq7ducuWv/hXsok+kurzyxPejjSVNM+qN+skUXVBqzXQy5Td+/dd58PAWp9aWuXThLPPzXYSo6ENWZCemTYHre0ghCMKQZqNFUVry0uB4AcZWk3IjFK7nIREYYdFZWeGzysc7iW4fX+Kl5aegA0uvrJPplNnckHbnJ1gfvcmf/Muv8dyrn2Fjo8/60t+g4S1w4+P3eaWzSv+NXS4+8yLy2Smj+3cojMfs8CGhHxB4lv60ZDId4jcj4vGI5cU5BptXyZrzOPOL/MCrLyInPc5tLNBdeont6x9x//Y9WguLHN55h/nTTxPPJtQ7bYTOaZy6xKUna7z4wi/yxp++zVe//h5PXnySdDJkbzwlynO0LUlLQ+gb6lIwSyXNpkuSaKyFIJCUJRz2cwKlMFZzv2c56qXUuwHCAY8Ux/UojSGPLViJdJuIToMfOPMEa8seg+N9smyCCiWj/jE7kwlaG9wgoFWXzLKYyA8wZZWjdl1Lmlms0IDFB26+t8n8SwE33oJTtQWC9iFzssaoaODlZxjVb/Fwd4/nP7WKk6wRPXFI3pcsL1+mk2b8yR+8R9Te4LlLn2H/zg5rp9ceW5/YwuIqlzItQQpGwzH+iak2SRKC0GU6Svi3v/9F0lizvNrAcVxqUZ2y1BwcHuMHHmlWfaczXbHoG802/d6AqBZSmpKoFSK8Am3geDDGNZqgJTGFQVDjeNADDFEYMpvl7OwdYvKYZqOFomTl1Drj0Zi1pTZ5mbPdH2DCiDRLube1zRPnztNsNPFqdYQSHB/18H2f0XhAu13juHdEVFc0m3PY8SGdRo30hMajdUlv74ALT1xkdrRFd36e416P48ERP/DKp0hmOa3mArf27vDRx7d5/rlniOqWR492cX2FChzOX/o0je59HFdz/8Y2RamJHIdO4DK31OZwf0SW5yy2Gpx/co1pXOFnG8qhyDOGoyM2Tp1Dk1D0HpLt3SB94jK9fo9z587R7XdIypL2YsgHH32d9Y3zbO7eYX3tSe5sfoQuU3qDHvCjj61XHkd910P00XREP5niOLICr0uX0hbosiCfTAhFZebKjcEIy1zUoDedYJUicCSG6mYLLjWrmBYxruvREg5TVzMrqmeS6XBEPNKEcwYpJcKVlS2rLNEaPNdB2xy0g1SVzrlaGpBYDUiD51TPoZ5RFKUFSiLlgFA0cTEiQJoCIaE0GUFNoYzEm++AFfRsH2dZkpiEVtvHGAFScZo2Go3WlsQUGFtWv3dsoVkSlzNGpcBqsAJsD371v/svWe2u8Hf+p79PaQyYEtcamsagRj56HONJwbnVLrHJePp8l6DmEIQhH729iZSKy8+fIVFDZpMRG081qCBgU848FyKEASeiMZ+jjYeQCikE/U2NCDWFM8U4FmXhie+rc3Brm4ULk8faSIP9Iw5GMzy/xvlGg0K6pLLGg+19Fuba+G5QLX5JQWd+kWlvDwQEYRNdpGTjAf3RiLopSJIZjUaLs+cvUCLxFTy4e5vpZIbJxsxFdbzQpcgVridp+y7Khdlwm9GxxlEu7dYcu4egpYtEkpYOngejwSH745RBr8/lC6sEvmQw9Vi4/MM4Zcz04C766CHkBU7UQvkSN9MsN3z6iWRlucnP/s3/Ak+B+N4y4Z+51k+fwSKwpsLZgQVrGeUJN6ZH3J7doCHhrFxhxV1g1W1xWs7jnkz8RaUx4eRajbaWwuQkWQpC8lSwAEbzW5NrzMYjrDbfFnN/B3+oSyrmNAJhBV7gYipeAojq8ALiO3/3rPn3HGtZ/Si0phKOOA5IiaM8BFTyHeVUcRBt8L2QaTIjnU7Js+zbuRPKohK3SFVRBSrF+bfxeNVntbV7RCkUpa141sIqfD8gkIrtYR+jM5R0yJK4MrICs/GMf/P7v0eWj3j15Ssszs/RajXxXA/lBqBynCKkKIrqwqIURpzEahXY/4+994q1dD3v+37v+3591b3W2nVmTy9nZnjm9EOxHJKHKpYQilZUEsexEllJkMC2EkBG4FwFSq6CIMWwCVsXCizDiopN0YqKRYkSJfKwk6eXOdPr7mX1r74lF9+m7ZvQsIUBkoDP3Z7ZezB7rQfrfb7n/f9/f+Gwov5CeB5+oBDUaZJ1MA6k2RyERxREj7VXvvSV7/DMx1b4zvvvsfTwEVvzTbIbZyjTEqyi24q5/813qEp4aHcYzVO85hlOnfIIhcfs0RZXzi9z+FByakmxeesRQdtDeU1ag3N4UrC4tsj+9pSb167x1EdepqxKxts75Dgkkmeev8Cdt9/m2JWn8e++RzGbsLC8jPQ8uutnaSydY7y9wXTnEUFniXRym+evrvGxH36Z19+6yfs3H/DlP/4iD+7fJfAkQX+BhhlTmVoqmZcxtswxztCQAkJJmUNuNdNpSeESdKmZ5xmqH+LchOFIEMQJp546x+VzSwRKsL25TTV6yM1hQZnOqTyFCGNmeck8mxH6MaLQZFIyzSrSuaMVhGhtMMo7wjcmHEznaGFoeYYn8i4/8ZdW0IcDnlNXaXRbPDsIieOE4fQjvPHgbaIw5NhSm8Hqz/PVb9ymubvFo+k2H3n5h3nj9Xfpupjw5EUmw63H1ifCgjMOXWmKUuNFIc6CcXVyQJZVDHo9vvWVL3FmcQ0lYDyeUBnDZDpDiIpus02uLcK36HmONZYqKykAWxQ4Y9EHFSWuJtk4ydbhhHNRl0BaRqOSPE3xg3qJszmcIV3F/t4+r776BliPymj+yk/9ILP5jF6nyerxcxSTKUmzwaVTpyjyKWGc0PA9up0W9zc2KfM5rbiJZ6G/sIBxjjiOee0bX+Dqx/8jOu0Go8mIa9ffp7u4yMb1txm+/nl2th8iRcz6+joo8GLL17/+Dfb2x5w/f5q9wxHrKwNG7RarvSYEksAreP65M9x86ybtcID0ZuzmjllVIUj5z3/+03zlW9e4eHaJ/qDPaDwliX32d3dYWVnCYtgf7xDIgIXFE4wOXmWUf4qyaXnrtTf5oZc/xnw+ZzpLCbyI8WS/fjh3sLZwDM+POLXq/o3v9//b6nvLOYKI5pFGRjgwpkLJHtZZ7mTbtNsJ0/EcP4ix1oGsWB00qWydOuapAG0NgVdvdZo2QQqJQRIJhe9JXCyZeoLTK01cWV/lDl1Rb5n9AF/VoQQd08B4gtQWCC3Roj7onANhBcZIHLVBJpKqjhE+YrkiBJ4AIesrYSkc+mgDlCjqA9QpqsogfYkUDuckxoIVFmEdUtY/HwiB70tEU+CsDyKqdY+i1nJufmvM//Y/fYb/6r/8BT764if4R//Xb2I0eL7gIPEQsyn4Ek/B9dkuRVobLtzI0owjpllGdvMam/c94jjk2dPHKA8zHuzOan5sJ0EoS8sPaVYeXuCBcGjlGAufZrNBeUQW8ZSHcIaDwKfferwHnhcoBIJIOaZ7W4RJzMpym+WlF/ADh/QSKqOpijkWn7DZZnQ4pRRjnCtJZQKzMZPZjAvnT6NHD7l/sE1/+RiyM2BtbYWDvYfsDjO2my2W1pbo9VfoD1YYj0dsbm9wcJDRGbTwohbaCLLxHrO0wDhHs73I8aU+hYiYDl9HSse7t7fpNUNa3QU2H97h6hMX6bWuctDpcPDgJsZpSHPa/S6q8EgWV3nqQy9xeq35fTPhv2N95M9+BWcMzjkq41DWYX2PZqBoRwmrUcJT7RVWow6eaIEL2MkyKmfRzlJZS2EqClcnVBbW0JSK2POxVERA1/p8/o/+jPl8grUWiSBsNMA5tDFYVx0NxRKUd2Q49NC6xrxBzV8WgK8kVlRIodBWH7HCBZ6yGGdxFjwVU1SaIPCxVlPkpk5O1Jr5fI7RNdlF6+poAywRsg5Zcqb+jJJCIJR3JEkJKKqKSluQDuUHfOgHPswz5y7x9u49cB7TbF7rlBFUxlIUc9Is5wt//Cd84xtf54PPP8na6ir97sIRKcBDCIWnFcJXVMZiACcUvgKUQJv6s1YFHoEfYHSdEpllGWGgCIIYX0k63f6/lhb6+Grxyojrj8Y0WwH7WuG5FqWqKJ3AryXtzCY5nnLkM83JM5fY3brDg/fuErXbfOxHfpTr3/wjXD5l684bRE2fxcEphsMpnaUWQksyHXLv4U3Wzr7Ed77+HiunT7F4/DSLjZQb797ljS9/kfMfuIoyKRefeoq922+AaRA0E5yzTO69ilIxjbVzpKNdmitnKacpiTW8+OJVnn/+Kv2G4P23v8O333xAVXkc5jA8LPEaEZNRRlkaBu2QShYUaYb1Q9qhIGrEjOcV47EjEAW9ueBBOqWaG1Y6GZfPXWR7cwNMRWU1wmnSPD0iIWmOrySEQjEdjihNjvYFs8riqoo4NByW0F9uc/X0GkkYsbJ8jFmZM50fEvSGDIJnSCcjKunzB7/9eXprPdaPL9IZLHP6/CWeWjnDg3v3+fobb/P8i4LVXkQpL3B2JWQyn/PC88/ihYpLK2uMZvPH1idB5GNzQ6OZkFjLvMg4OBzR7i3ghKDKCw7KXTy/yXh6QJAMkF7EweiA4XDMX/+5v87vfO63cajapwAEgUIXFR5gK4vyFJ5xlLZCCQVO45xgd1ywkEQ0woCyhPVjLfY2D5kVmhtvXyMIfFaWl3nn7fv/MtHX93zyouTe/Q1CNGFydBsnoNtrc3gwYjQaIYWg0W4TKY/SOITQxInPZDzGGkOv02L7cIgQkieuXGE0PKQRD5jlB6SppdtVhIFieDBGSsHqiTM0OnN0McGTlnevv0+zs0iQRCz1mxze3+bVd6fcvLfH1kFBoxUzzYYsdRe4+vxV7j7Y5MzZs0yn+5w508XzYg4PdrjwxJM4W6FkxfVr77K2ukKeT+n6iodf+xyrlz/JCy99mAeb21hrSOKE5598ljCJ2N+f0ExCWvECYagIw/Cx9cnjqu85RCceWG2YlwVSKXb3huTTGk/lh3A4n6J8iYosg+MdQqHQhaEbNyiNpnCGSPp4UhFGdfqX1RonHZWBJEgoqoqFuI90EmEgCCIWpUM6SVbmhEHCZHLIRBfESqK8ACVVHd2LwFMKawwt4WOE5VAXSKFoxTHpPMVXisIaAikQSmBcVWsrna0DxQSU2iKQ+L5CSIGxFomkcuCj0MKgVB224YyDoyFdSIcSCmsrlPJxOPJSU1VT/uE//HvEbcXzLyxjtSMrNdNJxXRUUGqNBYohLHYTdg/m+EIxrTKWTnhIG+ArxbzSvLrxAGst7XZI0w/I0hJnNXFkkUawv7fL/lSTBLKOu54X9DsNlha6GOOYzHN6KsRtPt6hr7e4TNjoEIQxmJI0y4kaIUncwJMGZ2FqLKURyCAgCXv0K83BcIiHwRYlStabscAXxIvr2PGY0dYjUD7dVov+4jr57DaHwzGe5zGfjFhcPk53sEIc+fWfBxFWCKaTHcJGm8NHN9mfVKys7lHlxwgDn5XT51mYjfn6t9/A2SZRJDCZYJQWdFpNks4Ss16GLHdRoSBQIXnQ5Gd+9j9hZaX9/QH6L1I7c7bLKYWnkMqhLcQ5TIqceSVJPcVb7k16gy5Xz53kE+tP8Prrb/P+wTaJF+ApSaB8kiSkGYeEUjEIY9Y6C6y1F1lKuly/9h43X38NJSAIfaxxdby2+i4GC8TRulcJh/K8OgjIVwjfx1mLlFCZehkgZYDyPJTxMEajdR01X2MNBVLVMfKNdgchFFUxr02PVYHRpn6YdxpcPZy7o+H7u2ZGhKpRetSmwaoq8Xy/1h9j6bY7rB1b59TxU7y2cwcPS+kceZYTtzrk84zrd+6ytbXDb/7TX6efKM6cehn/uwEuUiCUQpvaxCY9QRSFCCFRvoeSEmcNrirJi6x+LRotPE8hhYfnezV9BJBCUglNnQr+PY+Pv3C9+a0RF57pstS/yMONkHHxHv1BhzvzbZSJyZ0gkj6mypiXOdtbd0nthG77CsfOnGSx3+GdPOfhvfdxpcf501c43H7IcJLTjxtMJjOcahP4E7795T9kPjE0Y8OVF55j++1bEMUkrZh7tx7QkTs8yD2WTp6ic3yZ2c4jxpv3CRbW6fSXUQ66xy+ivIQwaDGdDIm0odkd8Kmf+gle/rFPsfzZ3+X+7Xc5fGiZTobowmG9mDgSlKbEVRoTtvAoqZyhETu0CJGeYJ46shIaTY+pNAgZcPjgBp2FFjtDGE0LkkiSWks7kpjUcff6QxYWV8kKB5XGbzjazZDUSionWGx4XD17nq+8fhftTXnpqiNoSj7w5IDZ6CJvv/4qS4MlRnv7dK++wImVAavNmL2DB+xv3OYLf/x1JDNai8fZ3N5FOFhZPA52xv3bD1ha7tMn4t135njh4+uVvMwpdIXVBY0wotVoIIXi1r17rC4tEwiJ1gH/zS/+7/zq3/8FsqxCInFOIITk13/jN1jqL3A4mlNkBUJJAhWRFhmBrG+ChHM4AXEUIowDV9OiKmMJmh6inNHr97hze4/+8hKLS8d5KzfcvrlJq9VEm4L+oE8YBPi+j5CKq09d5u719wmCgHv373H29Dp5NacochpJhzzLkFLQ6fdJ84J8OubJ42fY3hjRigJ+7599hqUrH+dgPOH00hr9dpvre4/YyXdY6A1YO7ZIM0mYpxlaw3Q0ZTKaYKspzUaT9ZMn2dmf8cqXvkmz22b3MENnFZ5wNYQhzzl3/DjL6yd5eDAhTwMWFvZYXmoxGk/xPJ/TZ06yvz9kMhlzbO04H3jqRW5de4Ol9VOEScCCm/DExYtMDg4py4LpdEo6Tzm9dpxGENM/1SOILGXuUELi+//fu939np2thCPyJAutAZWuCKSkGtQDaTNKKMq64bCaWNaygsiP6vQ4T1BWGSWOeVESOA8EpMYihQ+mZJiX4Ck8UaeQVdrQlgIhHOM8oxu1qCiJGzFLSz2kUzgvQOEwZU4lLEWRU2nHTBc4oJE0CKWH1RmdZkhVm5TxZYCtDB0bMHQl0vOInKGwFYEAX/lIBJ4VOE8ihUEkFiMEQjuySmOVorIWD4uSXn3tKyTas5S5IcAjMwahDaWdcenkKp3YpxKatghZGUQ418EJgzUWqX3KqmKw6lPkDk9ZlIB5bpmMcygdwre0Yg9TaXbmOQCRF5KXJYVv8HsBvaZCOUsQB+SZ5u5kxFYxpyoNWIiCAMrHi7hTQUxLRQgJSjXx4rwOrkHhCAlVgR9IdFVHg/thRGuwyvBwCE7j42h2F7FVRitJKGaH7Gxt0V89TtsvqYqMTneR1tMLtKOQWV5SFDm2zJjOHI24Q1y5o/fb0lvoMRpvs9CJCVodXDHDTh8hO30aysPrLPDCi89x7e13+dqbGxxfbiDf+xbrF5/G9yNaqxcpDiW+B7lq8OxLn2Z1tV0roL+vhf53ruc7XQbhKpEX4vm1wfOAitzCqCjYLjOqLOXabMJ3vvEtPvtHr3BZC/77n/pZPBWQxAmRFyF8ga88lJC0GxEyiBDWMp+nfO5zf4jWBrwQoTVCWrCWqqrwPB8pRH3rpCqE8HDG1TppGeCcIWgk+F5AOp/gHPheiKr1O8wnY4yrNZgcSTyCIMaKEl2VqMDH2gCjNVobpBAEvoeUEVWZ1ZtwK2t+rRC1BkwADpRSKOWhPFXj5BQ0mz1On7/IS594mUtPXOZ33vwKxlYUhURLBZWhMoZf/yf/hHevvcvoYJdLH/sQCLCy5rQ7I1BCoAR4SqGNpSw02hRoJWgkCUop4ijE84+ISkHNjK45fwrhDAh1JG+pdeLOPV5O9N/+hf+BL776O2zvP6Lrh/iNRXaTCS1Xsv+G5enTJ3h4+xFllpPOCvJck5xeYOV4j8tPnGd2uMPWnQcE8pD2Uo+DvXukecVzLz5Je/EYeweGuW6Q3Whw1tvl3evbvHlvhP7Cn/LEuRWOt5YQQuNG9+ksnkWNR1Qy5mBzSOh5uEaLRjuhKiVpPiHRCuSYuNHGDz127l2jWF0n6SzRbCT83M/9DN945QSvvPJV9rYfAT6iMlQOlK2wASzEkFX1g01VakJp0EhUUEsXDw9zFloJwg/IypLyYMwoaJH0O5xbTEjTOUXls3aqA77m3OppXnj6SV658+csscqVq0/Q667RbPbA5sxLwcE45ZMf/w/53d/7I85fGrC10eXG3Vc4vXKePBsxqTR/57/92/y9v/srtFo+rf4p/vlvf5bdvQP8WPFf//SnmBUx3/72W6wuF8wnBZ2mzw985CUWlha5fesOmw83HlufjMYzlO9jrCEvpphK00oaPHnpMlWWk2Y5e3sPIO5R2XpZNx4foIucdhLT6XU53Nsjy0uMqZGUVhq8IMRkOcqTWOvwggArLJ61eFFAUVSYqsRYiRQ+07RgZX2B8e6IC2cvUuY5nueTpnMuX76CLccECmxeUfi1RKfb7xMGii5dJpMpYRiilMd0PKHValEWJXsHQ7wwJGl3GY0njEYpyfEWr3758/zlp36YKPQYlRNi2SIrJ7Rtg4PiAOd6vH/rLucvnGc4rDMcktAnJ8RoQTGfIauKRthklkni2OPB5i7GWp4+v0Jv5TT7Wclcl6x2GrRin4VuzHRqGR1usjBoYkXC0uoKa+trjEZTdg9HnLnyDFWak05zpDvk7rXX6J88S5g53rp7izDy2dvZ4tT6aQa9HsZIUCU4Rbvd4QKdx9Yrj6O+5xB9or1Eq5GQVQVJENAKI4zRICSZLpkVBqUduS2ZVDmdoMGkTJEGjKo/vAPPp99sgTNIqZjMpoz1hNVOD99KkqDBYXaIEYpAgjaW5y59nMvnP0CUBOwfPODV1/+Mrf0DpFR4ShD5PqnWeEClBWBZTjr4vuJwNsVpTTNsM60KOn7IbD4j9Dx0qYnigJNBk9RqdFE/kWpnCJRXJ46VhigQTH1wef0CGSCUNT/TWeioiFwYrFQ1t9WFRKHBKcEPfXodU4EvFNY5rKz5kHlVoVBIT2IwgMKFOUkUEzsP0wApBB6OxJUMVgIEDmMdiQpwRlAAgZU4C1mpobJoAWWqCSIPYwxZBF08pmlK1PZpBiHSF+TF4z3wynSC9CPCqFnHaLsYI4o6QUp5lLqiKgp0aZA2pQwinKhJGn7QwmZTSme5dP4EpYYg6dBbyCkmu2wXM7zOgOFkwmia8fTVp4jiBlEYoKuE/cN9yjTFCyJ6rYTDyYhZZhAuJuh0GG/epxEqKutwMkaoElll9DodPvkjn2Rva5NXX3+HwCu4/95rdLptGr3jRItPcOvGdU5dusizLzxRX7k91lfx//91U1ne1zPyfEhSKYzWxEISWljB46wf0W8ucHLlA3QbLVpxQitsEwb/+keVwBWOeTXHWcv4cMjh/h6b23t84Qtf5Btf/xqVtVRlRalzpKsJGgJBVVRYVxvknJNgDZ4X1lpkXB0oogLwPAYLy6RFhlC1FrnKcnLl4Xu2NhlqjQpCrHXEYQMhwZj8SKIhUZ5AVyWmgjjy8ZUCB6WtTX3WHck44EhuIRCeJEwSrNb4fkir3ebY2jorx9ZpJQ1sWdFJGhxmGVt7e/hL63z1q9/kwYP7zA/2cE5y5cql2kRoLUYfxZYXxZGkhFqSohSejPACDyME2PpmrjK17llaR6ENoScBhaHeQtsjgbg17rtAkMdWn/nsL7LaOc/m/fd4sLnP8uUpH2j9Lb46/xIXPnmJezfexlvO0Q98ZsJw/upHOXZsxvHj5zi1fpaNu99gNL7PsYFkNh/SCNu024ts7sz51p9/jt6gw5krT/MDT5/EurPs7v8x6axkZ2uT6c4GyaDP2bNnOX72eabznLhRS2ZQirjRIRY+M93k0etfRHmWdn+ZdruJ7a0y3X9Ie3GZ0eZDptu36B+/QqPb44MvPUduSg62R7x37TVMmdGKQ7QRiMIxFRVhFCAri9eI0JllVKR4icILgWFFZUuisMvMVCRofupHP0KazwmEZvFEn8wNyXbbtJdOsPPgOpPxbU6fHNDmIjN5C7mpmfib0FhkOjrk7KUnmQw3OHZijfF0n2z/TcKfTw4MAAAgAElEQVTA4252wORQc3I55nO//qs8ccJnnqUYZfhLP/1p3vzKl7jy4g8yOPkEHzx/kePrxyGf8aU//BLR+in+xR/8KYNBm0987EVGjzYfW59EYYB2FmcNfhCQZjmz3X16vQWUNnh+QLPZJktLmssXyPbvklYGHwW+z8HeIWVhqEpDWlQIFNZVjGcpXhThY6l0hZQaX0r0Ea9eCEEYRWxv7JFbQyhDFntddvYyzpQZH3jyKmcvnOG3/s9/xtbmBmdOLnD30SOeufoMD3czLl86z50bN7l58xbdZoMwDpkNh1y8cJJr793k5MkT3L6zSVpaysk2a/4KhzuAgGyes9ZrMSpm5MWcySSn0DAeQjsynDx7hoWFPvOs4sZ7N1hYaOP5luF0n2PH1jnYnTIbzpnPS0QcImYZRhv6g0XA4DVXGaYVvrN4scfe3BJ6KeOpY3Gxz+jAMp0aBn0fZw25VoBHu5EwHu5ysHOAMZannnuW6cOvMjaWyxef5uMfHdBO2syrGfceXePWW+9SmQnOCoKgzYlTp/nosycfW688jvqeQ3QYhmxODoikj9aWdpIQhhFZWRJ6Pr6SxF7IYrxAWWbEXoRxFoVjmqU0OwkVjrzIWGh20JUljCKORwvMyrxmUirB6f4xSq25/yjj4bYjMY/4sz/5Jo/u3SLxFcdWl/nEj3+Yb1/7OkZIVOiTF3MC6WN9Wx8OvqMyJV4Yoq0mjENKUWBEnUYlPZ8oCRC+Yq41IvDJbIrnSaQBjKO/0CduJExnM7yqJGzUOudmkmDyinJS4kWOWVnQ8ZtMRYkSCmcdAQItKpwQNT2gNHRFSKoMM2uIPQ9fengKSuMjlQAT4JygKjRSCHI0Uvo0VEhVpAhZO/ylrXXfQlpSW+I7iJMAJSRWW4rEwxMCJSPaRuMQdHRIQkClLdYa/JZ6rI1kAGFtHeZgHdIZnJQoqeorbE8ReppSlUR+QuBZqkpRacXBeIpEstJdwMgG7UbAbDahPVhApxF+GODpTR5uzdg6LBnu7nFitUPY6rO4tEzc6jAZjem2InaHB6AiwrjBytpxSuM4tX6SneGI6WgPXwlyG6NUhe8KptOSdqfDiz/wDIdbe9y894hzzYSBmDEblZw6d4VP/7VP17/k9xfQf+H6zDM/gaQm8Igjz4LWFk9IZJ2yjYesv8caMHVqoDOupmWIWresncNWhjTPGA2HfPVrX+dP//jzHA5HzOcTsrxGSwkLQgl0pTHWoJSH1iUCUBJAoMsK4R8NhVIwL3NkbpHdPn4YIXGgwEiJUgFhGNYPyFUJQuIpD+UJTGXqja8nwDiKouZgW+uovNq3oZRAocAZhDFH1kpXmx6lOtquKzQGrSR5UfKBJz9AEoZ1CEcQkRqLcY7bjx6w+3CXX/7lz7Cx8RAlBZEfEfgBwlYIP8YKiX9kIFQ4nNOUxmGN/peEDutqu6bDUZQVQvgoZdBaI6yozYbWgf1XZsxS1wjJx1ntJMbE+0T9Dh84I4nEU4yqHX7g+edIPMFy7wr79ycs9OBnnn0K5ZVc33+TTvsHmc52ePNLX8aXBlkaVgeLFPMMkViGO3tMtCCRTd576w3yDPrrZ2knIcPxlEf3HnHu7DqhmrFz4ysc3HuTE+euEh+/yMmz58lG99m6t4MUmqRhEUkHTMn+aEK70+Hmq39Oa7BINTsgyzQr55/i+je/wPrlF+mtrfOJlz/Gc889yy//3X/At7/6JZwzNEKFLiyeF5JnGY3QJwgismpMp60YTg3thS7pXkZHBeSVph2HWGM4fvwUk9E29zduk+445Dxgf/SQv/zCxznYfEB/9QmWm12y4R6ee5LKpQw6fSbTEVXxiC/f+zM+furDNUZvHKFVwcqxy2SH21w+v0ASr3Hn4Q2efPYl9qYTdjeH+AJe+NAHWRiEnDx1ge377/HO29d598236SY+Sw3JmVNXuXH7Ln/nf/w/COUB//7P/43H0idRFDHPM5IkAedoxgkzmTHMJmzeu8/KYh/pEvr9AT/2k/8pn/37/x2myEmaCQfjMfM0Q4mQ6TRHBR5lWVKZWhJqncNoS6fdptL1UkiXFqV8VCDJswIrwBeSyPfZ2MzpNUICKXjhhUu8+967XLh4ihMrq2xtPGL5xBmipM3JpQWCBZ8bd/+c2SyvU0bLqpZ6CMGZsyfZ2NqkLFOiOOTUhQtMJmMKU3srtI3JUs31b36JtUvPceHkcbYPR/SbOcPDMcsXz7K1+eDoBh+qqmJlZQXfi8mzktJaZBBhZvnRDV29Llw/2aPQMbNZSjfymJqKVtxhZz6k2eyx2O+idcHKWj3zjeYFw2yHtROneOPmO3h5xspyD6EUg/4SReGYjh/xwU/+LRwFZVXxha9+Dql8jIU47IB1xI0mvi956+234VM/+lj65HHV9xyiH462aIYNRmVKLD12Z3MqWyKUjzMl/WaXUNYbj6TRoswrPKkIhKDR7RPJAAKFainSoqDT8um2IvI0oxEk7OYzmmFAWqQ0VMKNWxNA8OWvv0JQpTjnmBbw7ntjrjxxgeVGl735AWmZ0kkinDYYFA6L05pe1OJgNiLXJenM0gwlBSX9RgNXgZEWZR1l5XBlwVpjwMzM8D0f5xwtFTAeT1hIIu4VE/zwIlfOP8lid5GoVR+eoaf53O//Iw5nY8LAQwtI/JC0mNMIEnRpsbllYdBGSo8rg2Pc2riJMaCxKOcYhA0KV9aylnmOtSkCiWo1qITFcwKj6k22s47CVkgnqaRhWddubdeImKZDYhUzK0qMJ4mtxTmwWYFMPMY2Q/ju6N95vFoj5Qz54SMysUej18MLmjhdUOFwkcJph0GRJF2cBKl8POc4trqI3DIMR0Nm4xGNCKQpKStFFHdotRfxvIgi7zFwOzR7lnI+xk73SNMpU7dJKZaoKs3EpcSNBXSZo3TJJBUcTOrXNstmRI0WpfA43L4FMqbVarHQHYCzpIXGb3V46mrCcDyHRh81OUCaEX/wa7/Bx37iJznWi8CJ72ui/wK14NUBJM5W9WAmBCIEawEczrmagEEdyGKERVdQVRohBQKBNkdDJwJfeiil8EOf6XxOmhfMZhPSNMNqA1KiqxpL55yrN8OmTtr77hAphKxN056H0AZdVijlUe3v0Gx1cNYgS4HRFi+sH2wDITFK4UsP3/ORUpFLjSot6iiq3lc+ualNjFVRoJQHCAIlcHhoIWq9srP1RG81QRwT+CHNdgdtLKuDHh+4+jRFqZnu7+K0ofQVMox4894N3voXX2Lr4R2MNqgoIW4mDJYGREmzNlVVR7ISKSmNph7bLUJKpBVYYzBIrKw34s7VwSo1u1tg6reF+mHDIA6GiLu3sfMJOk3h5/6Lx9Yrq+s9klaP1cUKYw94+cov8Cdv/M+sL75I6jw2tu+wekkhI0Oz6XM9/RYr68+xunyMnYe3OdjbInQzDuYRfpTRWVrFVAEfevknuXXtdVy6yd5Bwjvv3ubCYptw5Qznemd4eOMNyipFacH66Ut0T5xhNNxjun+N2XyPdqdFPj8kbK5yOHrI5rXXOH3hMkEYcv31r6KihIgOtnxEZQy3Xv8a0gvYeXAfV8zoHD9D7Ef8jV/8m/zO6oC3X3udu7duINHk84LA87DKZzif43sRVZniqYruYJHuZEq/m1CUMM5SpLBMi5wqaHGoG9hHYw729zl55sO88s13ECT0eopissf7O5usdHqcv/AEDd/jvTv3uf7gLh9+4SX29hyXzgxYPrbGt779Lr/3mX/MD/3oj3DtwQHYjZqqdOMWH/rYJzl20vDPf+uf8vwHnwIV8fuf/U1u3dnm9v0HRIlg6fw6H/74D2KqGU8+e5VLTz7N/tb+Y+sTYwy+71MUBWEQ4HkebqrxPcGpEye4/+gOVy4+x8MHd2k0l5hVAVIo9kcjwjBiOBoShj5BGNXYSytRngIcvXbMzv6IeZbRSELCMEBXY5wzhEFIlqbgJNY4yiJj/1Cx2OtRTCaM1AydpygMb994h7XVNW6/c5M7X3uVT7z0EcbJBe7c3WbQaTBPSxYXu+RFyu7ePn5YI/riMCFOfKbznKKo05M73TbD0Qg/iEnuvEa4vMaLV55kNJrjuxlpFFJkOf1el+HhAUjL2toSRa5pNFpMp2PKqiDwA8LQYzYZs3bsGLPJBM/zkH4Tzw+IkwgnPKT06HTb2GLK1s4eS4M2RZHTHbSIgwY3brzLvfev0Ww0OH3uPAuDBTYfPMALImbzMc6GbNx4hftjwSw/xFqfhX6f6XjCzv51FhfOsX9wl1ajS6/zeAEIj6P+DcbCBIWgc3Td2VEe+1nJIGlQaAlVSYXAAqWxNI50SbEfUhpN6nJEWh92h+WMcm5o+yG+79OII44FYR1q4Cds7aV1/DYaOUlRUhD6AX5QbyV/83O/y1/7Kz+GDOEwHSNk/V9XwiJVQDtqYpxlsdujZSpcZShMwSDpcjibMa8KVnpt1rrH8ETC4ewA33eEhaI0llk1p3AW4QVsTCek45i3X7vFd9QDOu0I4Sq2H93n6hNnaLR6nFpqonWJthWVM7TiPnmZI6Rjod1knpd0QsH21gMWvJiUAu0cSvoYkeNJWEpCRsLS6vfQlSEVBQ18smxKFEQ4T5AWOb4QVKaiLRoI4eErwSyf0wxbKKs4FkQIqRjrlIYQ6DhAuFpr55DEcYD83m/1X7yRwhhaTdLDCZPhmKQrUE7jSYGpCowDp0vwI5wLwGiMk/RXVmi2W7z5xlvM51Om04R+q0k6GyObPtJBIB1Re5lOpwfOkOcF40fvIe0UU4ETE1rtAfl8zHRs6PWXSIucfLhHVZqaFtLs8HBrlyIfs7gQoaRFV5K9nZRmdwXfA5PnxJ0FTp9ZJ88rZsMx7aDDwcbbfOFXN/joz/5N1nsNAgXyCJzG9wfqf7tyrh4y8VESnJBHQ3VRPwBqVwegHA3JSgYYpRG2RsAJKfFFLX0IqBnq9x5tcu3d99nf32c43Kcqc7BHdB5TpxDWzGfqIf3IjCwQGCxQh63oogTpcLasP19yx3w+pdXqEgYhUkmMsXieh1AeSkZgDZXRJHFEEx+v0WA2S0nTKV7iI2ZQFEXtzHcOpy1In0qXQG2wbiQNwiCkrDTNpIGuDEWe00waPPPih0iLgjt375CVJYEMmWUp0lfsjcfcu3MTU1UkUUAQhwgpmU/GKKnI8xIpoJD1thwElbWAwDqLNjV5CHzEEf/aWFPLUZxHNZsiDoY0Nx6iJ2N0Ma8f9rUmBh6vQAz2Z9+mK9bIbY9mY8Jvv/2fodM+h5u/QaoHJGFOGmzTUCd5q/w10rLDPHtE1f1xZuMZVhmShSVWuwm2KEjimHDxFIqUFz/5Mru33sfduo0fPeDw7g0uPPkEnjU8uB1Q+gm2cZqNh0PEguDUU59kNplx58Z77O3ucvbyixzs3OPg4RYf/Pf+Kq9++Y+YHezSP3kWz2h2r30RL27QaCYcO/sMufXZvPkqprqEdo5Wd4AXNfkPfu4/5qf/6k/xta99k1/+X/5XhNFkaJiB9B1OegyW2uxtjJinBZ3WChOd4emMtHT4nuLu9XvgeTRVG9foE0brFPMpo8MRIlS8f/8RD975Gh/7+Ed5d+Mtfvf93+HK4ioPi0f8+Id+FpHOiDqa+zt7pEXEYNHn2OUnOX26z8vnn6bdaIByrK8uc+f9m2w8uEu3XXD29AmEEzx15RzztKK3OGA03EMah/QklQzxhSQfH5JXj8+T4/s+WINSisl0ihOSpNXm1v27JEnEZJLy2ptfY9BfIVEhT33oU7z257/GKMvQkxmNKKEsMxyWsgJrHUHikadz9g9Lms0Y5yxFXqKUJIw8slTXNwaNmKowlJ4BYym05t7uCP+d93j6pY/y7Asn+NY7r3Pl0iWGt2+x1h8gOxEtsc+uXqOc52ylKWka0mzH+L7PsWPHccBkmOJ0SZ7n3L69RbsRcfbcaTYebNJpexSmRB1ucPb0BT7/yp/wwgdeZHJ3xoVLF9m4vwFUSBnS7YZom5NmJdpoKp3SiLwjrKXj5KmTDIcjJpMpCS3OneszKytu3zvA8wXT2QwVQjGecerUcUpbEnuO6Tjl1dtvkUQB3d6A46fWcVXJnfevsXJsnbDRQlcVjTAh3XuN79yccfrYVVZXjnEwPOCJ808SRy9SlBmB9zRKSSaj8WPrk8dV33Oyyq0hMwWh8GkkCZktaTYiKldHxAoB2sIszxjNJvSTGN/zCLyIwjhMUdGOY6T00fmYrMxJlGKazjFWMUga5MZijGX3YIwQBoHBl/VBG8cRk+m8vux0lsODA2QTAhlgEHXKn1OkeUYuc9pBE11UtKMGuc1phAEYRyto0AgCIhuRjVPm+hBlBSJQeM7DVSXK1FHjPpD4ktduHqJNyGGWMS/muGxEyxc8vPuAp682MKaBlAVoixQGi8TzBFVVYZyH0xUVHsoXVFAbhoQitwW+n6Ckx9Z4hJMWXdbU27yqKN2UAI9RMaNHAyHqzb6UNbNWOkteFpiqIgwjnBN4Xi238bQkjENC65iYAinra6bYheTmMQ97okJJD6VCdFWgsxnECXz3mh4DQYDGQ0iwziJcrQOPGgnthQ6j0Zwqz7CizUJviazMEc5D+j7lbATUg0gUxiysnUdQUZQ5xWwTJVbBGfDrLYNAUVi4f/8+bd8jUoJOf4H9rRzhhYShR15Kup1FUDG2yFjod4niFp4v60AfIZhNDmi2BhTTCW984U+5d+48H372ErHi6Pf6fv1blav1tN8dbKWqZRrO1QNubdo8Ejk4MKbelmqt642wrA3KztZmwKrSzNOM1958k+lsgikLhHNoV6cO1g446p9xR4mH/1LO+69EvdaaoxjuGgTtXM2hxjnybI5zlihpYkxFENThBrFX6+y9oA6IcdoRhRGzeUoYxvieT1kVaG2w9gjHKWvGtaXufYVDFzlhGOP5HjhFECjmeYp10O0N2NnZZT6dU5Y58+EY0fYorKarJJ1mi2E6od1aIK0qpLNEYYgQEEQhCouQgqLUKCXxfB9nqYd5pxFIrKlw1C+Ks5asKHCjCWuPNkimY0opKKwl8CI09YN5qCSuso+1VbRwWJWAzWgEAyQp+xshx9ZexHTbzNLbbM5HRK2Y3cl9hJ6wIp7FliVSecwrj2Uzoz9YYzwqQQY0O01GG7eJ2m0WVtdZyXLaK308GRFHPvPKsXryFKWzbB7Meeqpy+zuPsCl20TLlxGmwhOqRnrFHcJOmxuvvsLa+gr2zBmuf/2rLJ0+Q5VbOp02CMHWvWssHj9zlHKpUNInHR/QbS9hK4s1lg/+wIf5rdavUJUlwpaU0uJwJLGH53eYRGlNiPAlejpnOK2xi/FCzP72PTorp9nY3aAVDWqOubVIT2CtIq1KUie5dzhkfXmZ13Ze5dpoTl4qRoc7OAXn1s4RjkecPrnG8vJlnn7mI5w8uUrgJ1SmIh0dMp9P6R1f5/72AZ/8kZ9gb++A6cEBJy9cxhjLdDwinc4RyiFzzeFwzGxSsLd9k87KhcfWJ5Wpjs4ZhVSKLM+ZZ2O0rigqRXuhRxwptnY3UMZx+epTfPH3fhmr63jSLC/qZF0LWjviJGE2qxd5vu8hpY+xBb5X5xzkmUVXhrARgKgXXXEjpNIlEsdkNCEv++SjQwanVjiWLBCPR7h2Az9MaLV8kkbE4fYOYRLUZ55xpPOCxaUOQRhgDMzn8xpXmJcM+gvEUYAxjqpKSYuEVtLCWUdaZiSx4eHGHaqNG7T6AVIJqsLR7jaZzyYEoU8cx2ijmR+MWBqs8v719+ktDnAuIIljJpM5zsJ4OmNja4ISPvmspJjPuXjqPI+mcyaTEbEnGHQXuXvvDrbSFM5x5uxF9nb3ccWMqsxImg3s0elodEWgEgbdNfq9Zcrccenck6wuL2K15fr2BmfOLJHOJ5w4ufrY+uRxlfqlX/ql/8e//MPf/8e/FCAIgoDDbFLD2UtNww8py4LA83G2JFCSXqOB74VoSuZVRl6lTG1JVhSUuqQZRPi+T1e2WQhbFLM586pinM7wg5Bbtx9iSgtljlfmeJ5g72CCxiKP3OH9hQ6yIwgCj067zSwds1+M0aogkD5OOEb5nJ10iESQzQvmOmdWpUR+CAjSKkXrgoNsyjifklUFhbUU2lHoijTLsNLj/v0UKTwkDp1PaImcWVpQFBn3Hm1TTMbormW3SJnlc6ZVia4seeUIPQ/1f7P3JjGWZueZ3nOGf75zzBE5Z1VWVlXWxLmKLFGiSImi5YYldbelFmTDbhi2N154YzcgwBLa7WHTQHuhbjfacNsyYMkNy5QoiaSo4qRisSiyiqUq1pCVc2TGHHHn+8/nHC/+ILUSvTByoQbPKoCIxY0bX/z3O9/3vs/rBxgKfL/NOJs2xV6UaKNRtcXUBco6pAoo6grhJIt0Qiiaf8a8KkmrEmENuWlWsrWrmKcZtanQ1iPUGi2hqMvTVDXDKJ8DoNFEBCA8tPKZZQt+9Vf+899+WIX0+l988bc8T4Kn0FqhPIGSHn7YaogdzqGUAqkQCjwJ8+mE+WSCc5Y4bjGfntDvtSjzipPhEeWioNMfkGgPJWtanWWEa1b5eT6jcj61ShAyYnS4S1b7tNtdjg9vE0VtZvOMW7fvInVC6EnizhKXL18hbK+glYetckoUcZTQ6Q5ot/oU+Zwin+BFXaajE7LpnPWtVaI4IZ/POb77Pr//+Zf4S7fKJx5ZQf3b2kWL5KHUSp4Xv9Uo6BsT32nnhpSy8ScICUikUoDEmLqZ/iqJks2aVUlNXhTMFhl/9tI3+Cf/+Dc5eHCHqsgxxmKsay5UzW2tCTHBgZAI2aAwGklOI82RSjWYuVNWs8A1oS4ChGim1lVZUBYpIKhNjakKsrIAHFHcaZjKtsRUlkG3h9Y+SkEQRhRlQVmWKPHDSXij+bZNV43SHkpAHLeI45ja1uRZDlqyuXWWnXt32d59wK2b77O5vsZCOlyZE2ifO996hTMrCZOixOLoJjEf+/AHqcoSrKMqc2xtMFXeoP6qJhRiNhlzcnxCtphTZyluMqV7d5uzd++weX+H9vAQbzHDCYcwFgVoU6ONRQgopGCu4Klf/nsP7Znypff+1W85lxPJyxwdfIHKnUO3IjJbIt2MUfUK2JqymhHYDfr+RVZ61/CzhCjwkFT4MuPgwQ1WVtYRdUVZzolbIZNRQX/tCmF/BeksscnIbIjX3mDjypO0l5YBQ2UUNs2pvJiVTosnX/gU97d3WT+zwcaZi3SWlzFFSndpnSBpEbZWsM6iojbHh0Oy2ZiVzS1uff8NwpUzTI6PsOWE/vomJpsQxG0qJ5G24mMvPM2rL3+TWWYJYo0XxFR1gW51WRwd0tnYIssNe7tj8qzi6tVHOLd1lpPJkHtH+0zLBb2oi9F9lJ3TSzxUMWK93ePsxnneOhry+v3XSNOUMtcomVBEb/KNm7cQ0nLt0aeIY8XubIf5ZMHo+IggSJgePMBgWVq5yN6dd7h48SyH+wccDSecO7tJlqUkSczB3j7ff/0d/uwLv8/rb79CK1qjJOHo/vuM5zu88InPPpRaOZrkv2Wto65rWnGM9jw8JGmaYuqaldVVtrfvcfbsJofHO7TafQ6O9pnu71EUJUr4Df6xBic1aZqjPUlRVQgcng7wAijyiqoqUdKnLGr8QLPICkoLWkGRN1dMLSSHwzmBhKya8dRGi7aEjYtP0IojVjfX+aMvfIX+2SdYWYq5e+8eoa9J5wuiJGAwGDAeDkEIur0OJycTOu0uCMfu/j5nNjdYZAWmKjk5GfLoJ36ZVhhR5jNWinssspyySPH9gDzP8DyfIIg4Pj6m3+uidcDBwTH9fhehAybzFFcb2vES7V7I3oMpnq+AkulsQeFgdDxGO1Da0Uocu7sPaCUxD+5vs7mxRhhHjI4OWF5dIWlHBEFCGEY8uL9NFMUEQcxy9zwf/NBPc+XSeYSEw/29Bjm7ucnte7cpXM3XXv4an/vkCw/tmfIwzo+dRKemZF7lRLUl8mKO5rOG9WcMtqpxRY5G4iuf0s7xlYfUzYedLz1Woi6FzQi9gDTP8LXPtM44Gc+pqoyVeI2d2ZjS8/BamvEkJfSgFjV17VBasbV1hqOjQ+paUtQ1q16LMPAwKme5m9AWMdO8RAhFUdXUOLo6pjAluV1graSyjlm5IPQ9ZK1ASEqTUZxqM8PQY+D3qU2JDR37e1N85YMWmMriuYqsNLRDn6LOUUJysH/E+ac2UGJG0B4wzRq9eKh8DI4sy1iYnNQ6YiMQWjEIIyblnNCPmOZTvLCFqyq0lKR2QidoN5Mt5eEZcLL5WiPITUEsfAZxQuUsgQo4SCf4RgGKoqpwWBLtIUsfK1KEC6idQXs1sXm4xsK8SBtElpSU7pQ+YizGyFNjYYCxBaasqCxUwrK3s4ejRp8owrjN8XCO0yGbaytMxgVhW/L+rXvEUchg0KWdL8hlj1aosOWcLBsitSLqrFLlKX4nwpia3uAs6dF7RH6Hq5cvMhlPuLc35ZE4JJ05nAywKgBqlEnZ3b7FysYmg36fbn+NnbsjhJqj/YRWfx1jLYH2UcKjEwQ8e7GFd3Kde+OrPNL/t7WLfjin0SO7v1bBuGZ9aury9NnhUZsCXzVNaNNU19SmyeycTeZIJRmNp/zmb/83vP/m95gMh42ZVTWJf3VV40QzRRaikZv9iKvi+GH8IM0V2aGURiuJEwKlNEWeI6XAWIeSqglTOuUsp3mKX2mk76OdpHIVs9kU6RxBHIN2FFVFbWvKssL3NEnSokhTnHD42m9CW4T4ESlR4tBeSBRGJHGCmZbUVYGwMV//2tfpdAMmRyesb53l4rVL3L3xPSLXYlEWXL28RiAdKpeURqC0R2uwRBCElFWNc4ayrLF1gbWQzlNsmuPv7PPEIiWqK+raUFqH0IqZs1RVSag8fK1BSApXkdU1uckRUuGcaDZ25uHWikYMWU0AACAASURBVGdXwIwoxQ65OEvHW8e6DE8GHE5f5TBb4dGlR0HvsKiO2eh/GpdZ3nj9DVaWIr790ks8e7VLGA8AxbyCdvQYN+7eQuS3GQ+H1Dogmw9JS8szH3icc9eeIUy6pIsZX/7SFynHOxwf7xAOK9Lhfe5e/0s+8LO/yOHhPkpqDve2WcyHuHqBqSrOX3ycBzs1t27cYLC2wdbWE+zee5vcZdT717l7f8j0YJX5ZM7Zc2eZzCridkh36Qz5IufFn/85vvhv/hRRWzIz58zZi+zcvU/ta3bfeZfVRy9iLqyRH08ZnYzJ8hJ/qcVJtoB0xrXzlxHZHaSnqPKCaZbiLUb0B0v83OWrKJ5g5goqbXnk8rOsLQ1w2me1t8xkNufVWy9zcbnLxc1VpsOUIBTQ7bG8ukVVLNBeTF07ZnnGubPLTBYj+r110umI4dF97j+4Q3d1hW6rjSkW5LN9VLKKTh6e+MeYGimb1MX5dEYYR6ytruJ7HuPphPkiZam3xDe//hJWzKlqy4s//yu8+crLIDTS9zBZhVAaU5UkSUhRZSghMUawyBZ4JYSRz3yeghZoT7JImwhw6SxZbnFCEPoKgSQvS27c3GXjykUeu3CB/Qd3cb0+fj3j4tVL/GF7E9laYjic0F3qsxge0++0mU0y7t/dJmkldLsddnf2WF1e5uh4hOdrhJDcuH2X5eU+Qgj6vTbSZuRIgnqKLVLy2jKZTgl9n8APqaoaY1JW1gbcuPk+cdTFj0Ichr0H+6xtrnC8n9FbC8kyD7wJxwcZNQYhNbYU7BRT/MUYV0+4+uhFnnr2SZQIOXvuPGmaMlhewVQVg6UV9u7fpnU+IcszJqMTNtY2mM9n3Lz7Rzzz8X+HIptSVzmtTps0z5ilC1YGSxwcj/jA0x96aHXysM6PbaLr2jKeZ+zlY9pRyEarh8MnSzOk0tiqIsXSixrNrsASCA8NZHXJwfyIlbjHaD7G9wOyeUFaFyy1u8ylZT4bESGhyjl7bsDNH9ygiCVeWSK1T5lnKGNOWdAQ9ALSMgNq2qKFkj6yaJK3qjKltDWBa9z1W61lptpjVE650F2iKA1a+YzSIZWxLK9ukKUjylojJaAMHR1RZSPIcsgL/LiN8KAwFbFSzdS6EgSqIggiTqYz8AzZbEQSBCQ6IZeO4XyKJxWdICZUonHCepDbim7cpkgzVr0ljtIT+rJNXhZ0ZYdpMWEl6JIj8XHIAoLQY25ydFlTSkC6JgXS07SkoJIOD4nWAdarUFLheQFVbVDCpxFQhLTEwxXsm7xgMpmT9NtoT2Hqgso4hJ4jbIT2ZNOg1HmTjGZL0rJCCJ9uO0A6KMuSxWTMJIoZpXO27+zwoScvI3QTRFGIhHJxzME8IPIHdFYitKgxFs5e+QCT2YQqG6ICjWqt04pC9vfuYJxgddBB+32E1yLRNXme4/c2ycd36CQBJhszsyVeu8f62gqT2ZyD4xPWXROfTrxMRcEiL7BVgcnnHN54hwsffBwhmzhq+ZN++v/zCCS1NaeacolSCq19rHYYU+Ocxff9U3mHxdnmJxdpShBGXL91kzvv3+KrL32Z7bdfI1vMcBakkgjRBCW50/SvH5oJwTWIO+HAyVNJh8MJgxOy0QFjUdIDCUEcU2b56ZahmRxb2+i9PE8jrKOuKpwwSK2p5wV+GKEqjakqClmgJIRRDMaRZQuEktjaUFM17wE/lHYIQCGVbNbPZTPZyuYLLIJs5z6DpSWKPOPCpcu4gxy90EStgNliitftcs7NKMqCuUhQniAKQqyTBGFMnS0wkxnzd99BnRzREiDtKYnDGGoBC1OjnMPmjqltJvjKzPFxBEo1cjolSZOEurL4Aqy1FM792L/1//9iOUH5XQ4n91kOP0pRnZC6A2bTMY90tzgeLlDh91jMByyH1xiPvku2uEiRJhTzQzY3lzkZzVi2kgfVbaSF4SIgXL3I7mHKY+05oiWJZc39+Zjf/5f/jJXVARvXPkyxWJDnc6YnI8oy48KzH6ZKjwnamrf+8mXq+ZRj/1VavTV8X3Owf4g1hlS8h+8cnW6X4+M9Du69i5MBZ86fZXY0ZWPNY75wzAvHIs3Ih2+jrWV+foEfRly7uMTu8x/itVdfQYdtHtxpqCumMARxSHo4pLO0RDjooSPN0nKf5564xNbGWW5dv8l8PGa4OCEOQkbDfYTnUS5q8vkxUvm0l9YIlCAMu2T377Ky3mfzkUfxvASk5ZmrT2BxlGXO96ffYfvOt2j7F7k3mvGVl7/B8x99ntFihO9FbN/e4cH+MTdv/T9sbV3EcI+rT34EW/g4WbGYnrC8/gRf/MP/hWcfe/yhlYlSkqoqiaIQTokaRVWgPM3q8jJiOOTqpUd47PIV3rv+A/78L36fT3zs7/DsJz/Jd77xdURVYpyhrprNWFHkGAvaU3haEYWK2bSiNhbtBUjZNM5V3pj2pVIIJSnyGmcdtbVo1TDV/+zLr7DVu8Cf/N4X+R//h8f42rdu8z/9q9/l6oc/jrUVk+kYl2dIoRG+x2gyZ3VtwPb2DtNJyurqEqPxhEWWshQPOBkeILXm+GjM+uoqZV2yffNtkvUtLs5uE3W7LI6meH6MqSu8pIEl1HVNu4xZX9+gKi1ZntJuJbSjCYvxlNHohHaygu87rpy/TH42ZzIZIVzAq999m/HBLoEfc26jz6C/xb0799BqiV5fsLa2znS2wPMU23du0mm3mUxmWNeQRI5HxxwcHLK0ukSsU05SS787YDIdk4QRxrnGECpU85z9W3Z+vCa6LBhEMZkO6UcxJSXtToeyLLDOIOKEebqgpsAJQVoXLMocISRt7dP1B8zKHC0dlSuJE586q8CCSCVhO6FcLBiWOcJIjFdxcFLRjxXkNUjNze17+EFMlIDfKTFK4OuIvfkJgQKk4iSdnkZ7K6QvUc5wZE7IjcWTiuMiwxOK4ewBvg1wOI6PDhASKpuhfZ9uEDCeL2iHPfJEcTs/QWoIgwDqitrXuNrgS+j2BkxGE9rKoxO16PgJabZgtshQzpBYjQZaRuIpiXGSoFAU0rEzOWomb3ZCHATsmhO6MkQHkkHSoXSQlXNqDzxP42SJsI4oUgReiJUSz484d+Yi4+kIz1lmszEaH0zO2MzRtWbJW2aWZ1SBY0nFhPrhxmmqeIBTU2bjjCCQCOFTFhWzfJfAC+kMlql1TFlkzaqoLlhqReyeTIl9Ry2b8ArjBBKH9GIOjra5sz/kaqiY1yVeNCFOuuhqThgtEUWKbJ4yPLpLd7BOknTJXU7tBO0opraC81euMh7uI3XQxBuLmlleEvgRQgWEg0sUVTP5m6YjZJEidMLh3jHTRcmZLcEbb9zk0qWC7Z0jQPPM1S1u3rqFlH/OnTe+w8WPfYqPXDuH4DRK+ifnbzxSSnx5qks+7cGMrZvwESmaJheHcwYQVFVJmmW8/vprvPnm2wwP9/nOy19lupgyW8yojQN5OuHWp9sWSXOZVJraWXw/JEpalHlGmecNFUQKalPiiSZExSGwpqKwFucMUkhOVdHYUwmDdK4hAgmJwFLVNdpZpNTURUkpNEJrQiw6bIE4NfKdTr9lw9RD+wGiLNBhRG0tnu+DhShpN16BssALQ4osRQhFmmV4nocxNX/1/dexGy2079EVPTqPXubxfI+NLcX1o5z9DLKiBgmJEHzgqOLkcEEZ9TiuDgmBMssoQ5/KOkpf0jPNm5ZLxzKGCkEtLEIq6rrCKgHGw89LdF1QWIH1/Yd+aVS6z2JmcW6Pmu8Bt6G4wrwqQO9ypnOFregjFHHIZPwmY1mRTa4Tikc5Gk2Yj3OWRMXyk6sc7AxPsXA5YSCYnezw7vA2Z8+cpwy6hIN1ommOXbqA8ZdQfo9+2GJwLqeuMpx23Hv9PTa2enihJp3XSF9Q7R9hXUHc6hNEyxzvz0gixWjvBnH/DHOdcPjgFrbKiP2AXneZM5fOcTieMxwPGayuc7J3zPvf/Cof/PhPkc4LfvGXPsuNt37AIi+RSjWbxzBA+oLQ08QmZWPQRSewOkjY3bmLKhc8GN7ATDRZOcWWCUIGFPWIIO4wns6YpSmr+RgVJShzh8N2h9HRMY88+g79pR7d7hJxZ4UgiLHKI0oE9/ZGvPz13+Xy+Wd58sIT7LzzVcJul5e+dptf+nd/imy2zYefuIZdOebb35vy0acGDCdHnNt6lHceHKFC+M/+099gOHt4k2ghFL4Hga+bS7SVzLOcoizIspwkTE7lp5Knr32I7mCFv3r7O7zws59D4vPut79Mr9XhaFRR5gsGK6tMRieNxExJitJgMVSVoK4clanxNGhfURYWYQVKCrQUWAdaNunBRZ5TloITcp776Z/lt//bf8m5fsLPfPAx2o9eJVltMy/nRIFmMs1+JC27dec+cdimrC1V6Vhe7YMUHB4csr66TJpXWFcwmU3xPZ+WlahqxmK4T+H7ze+dFyjp2N7ZQZiaXr9HkZd42iNLFygBRZmhtMede/f52AvPU8kI0V7HljO80RG3b+wyHA/Z3p1i4w7j0YQPPPMYabbgr157gxc/9Ule/967fPDDPkW+oDI5nV4XgcAPPHZ3D+j0uhhT8fi1a5wcHfP53/0n/PTf/Ueki8WPos4XkynhYMDSoM/8IcbDP6zzY5voTCxYiVYRXoHTkC9yKmspswVn+5tQCwZLq8ymC3SkOc4m9IIQz0k87VOrir4/QDnLJE1RKuZMK+F4OuL26ITbL79PpBSDlRgnLGubMRvnShYpBHh0Bx6e5+MJRbLc4sF8zHK0xHR+QuLHmNJhqVlJNjhcTKiER5AZxnVF14/pej7T+RBPG+IwIFSrTG2KMJZMWkydE4YJVQX3DnbZSpaZLgriWJGVFjKDdQVKN2+U8xq24XzWSBfCSFOZmnvjPXpRh8JZWkFI5HnIKCK3OceTfXrBAGMNn/705zhz5hpFmjMvFrSSkLfeeJmdOzeYzFOqoiQ1C9pBF+krZllOYD28OEYKGBcZUhny6YRbd9/EFxolPJxQ+Dgqq/FEiPUrJoVjWlXMs5yjwBC4h3vDmx4+IGlFhLGmzGv8KMBrBRTHh5RFSq6BeBVblMS9VUTcx8kRpZPM0wJFRrfVYjxPCeOY586f4SPPPM6//j//mAc7u1w9v8aFc2dBZPS6CaGo0PmQqvYwVlIWI+xiTtBepsjmzeUITeV8Op0WJQFhEOAsCBWwyObU9Qnd3gbTw11QHqP7d1HKY2mtQztUrHZj+p0lnn7WJ59NuHp+mbqcMxylWKmpaktiS7a/+zX23lnihV/8LCuJRv+kkf4bjxA/NNiBcKKx2Nm/llo0w99Gq+xwjRQIx5vvvMt7b73Bg+tvIk0TfoBrkvMaebNozIZSEocN/tILwoYYZGqqPGtitiVIBNbaUwOiAeeQUp3Gc5dIqTC2RsomqUwKiRRNQItEonSz5vU8R15XRF6AdYIaRxQ0/HZnHVr7GJs2shKa39diMWWJ0I1MJAwDkk4XT2msMbi6QEiLtDWep7AWoigiDAK00rz/3lt03WXc0jKlzpm1+qx1ZqyGLeIo5S/uzlhZXcYYQ20crhoS3ruHu/EmK2HCrC7BOaK8QMUtkrCNZ6cIIDU1ftxDxTFhXTNTChYp0tUkRuG7GicDnK3JFgXeQ05bORtdZNe+jiQmDCqM2aK2mitLz1OqG9DSvD36C6IgoSMfJ1/cIE1Dtm/t0vJK1luKybHijW+8y96J5eq1PufPDVjqCx7/j/4B+zsP2H7vOrmrWF3e4Of/vV/D2ArjJJIGM/fmG9/l4MFt0vEhYdfjaO8WQmr89gbZaEgQe4TJMknYYjgdU+YZdSdh88JjjKZTTD2ht7SO1C1k0MZY2LnxFu0kIdd9vnfrLRZpxqPnVxge7iK9NqE1vPhzn+ZPPv95aiMoS0urE2LznFpZytKRezUlBVWxR0ZOxw/ZG45IihghFcNsjEBhEoHNDGUh6AzaTCmQk5pa1ASzOTPvhKP8Dt3lmnCxhE4ihF+hS1i5chGX5xzNJzyzdoWgrRnXHbazI575yAXaq5s809E8+fTzbO/epZM8TjI4z9Ck3D/a5/y5j5CzoNN5lG++/s/4Jf6Dh1In1hoCTyOw+EpglaQjIpIoYjgakwQhQehTVxV5VSGFx/LSWZyp+aV//z/hpT/5PJfPdqjqCV7sM56PMKamHbYQwlEWDbmmrh1SOnzVJErWdXNvV6coSa1+uAGzzfbAGZKwy/mNdQ6sx/OPnkN0Oiy0xysvf5nnP/gBxLzEULO2tkyRZyRxfKrlnlHWMJ6MCaqIfn+peQ2lISsWeEGIQ1JUBdf/6hU+9bnP0FlZ5fXXX6c3GFDWFcv9PtYKIi1PDcQwHk24fPE8o9mM2WzKbDbn/OUrmKBPL4rxvQV3dva48f4tbt3dw4mKcxc3GXSWufv+W6SLmrJe8MjVayjps7Q8QCnB8dEhjz91DVPXjMZDbt18j3a3R39lFSktd269i6d8zlxYxpcCHYUs8gXz2QIhJFlekChNt91+KDXyMM+PbaJ7uo9wikgFWOPoBD2SKGJl4xJZVTMvZnT9mNZyRJplGBXRDmL2JiOK6YRWktD3HEp4zBcZcS2ohMNTAY9vrvLTj15BCBjPp9SyIb9KB9N0zvneCrM8Y2wzOkGP0eiEc91lRCXA84mkpixqBnGPWZqjcovSJcYJEhsxy+bIyqeShrzMGJVzqkqwHLRASbQzRHpAaBSLMiPSXQ7GY/phm6IUXDrX5d2bQ7xU0ZWOzOYo7SG9gEWWo9o+RZkS+iECg1aOKFRYUVNmOcVkxGp7iVL4pEXOpTMf4623jjk4eJuNrTN0kh6e1+bac59j49wRnW6PKPTo95bY2b3NSy/9Lv2ghfV9ympBJ2yzjiKrUqY6Q2lJVVcYbRlnQ1qyxTCdg7Ssxqt02ppBHLOoEtJ6wfzhGunJyhy/9ghjhTOCMl+gwxZBGFIWFdlsRl0YoiDB1AbtCaJWl9Zizng8497JmGKxYGNjlSpfYO0yYRLx67/yKf7gj7/Ju3f2MaXh/FqPfCKR2ifptunFJW4xYkYPVy9Ic0tvZRUPg5M+riqpDEBJlivG4xHOZESexQmPMGzT7Q4wdcl2VqHCgPV4hfnJiI2NZaazBdKVhK2EqhYk7WV6via/t8tfvf0+L3zocQadAScnD/j8P/8dPv6r/yFPnen9hCX9N5wfTqBdA4amMvVpmqmkYVU0KX6gG4NdVTCdzui0YyaTE9CStKqpnaI24kdtnJQS4cD3NM5aLJayKiirAqU12tPUiwpPewglEFJijP5r46CzaARaCfKibLp5IRsM32nTrbQ4JQW5hqRhHUEgqaoCP4zxfR+NQniaujbMplNC3wOl8D2P3BSnU+9mUi5Eo+E2RU3UizFlSRzFDXtWKYQFLWwThGIM1WiHwBpmD+4x2lxG6gATavq9NvHaBXrrgr+4/uc4Z8FpECUqyym2b0BVIquSllBUWmOtwxM5Oq8bY6cz9JxFzOdYL6CUDdEGKQicYkHNURTSMs2GwHgaW5QPtVYmxZDPXP2v+IPX/2uO0ikbnRXmep/d+T5b9lMIDKNpxfr6ed7df4OPP/ELvJu9jd5sMTk84u3dKRvdEOMkH3hhwObqJmcvX8QPYowp+dhnf5WrHzrh61/9KsPDQ/78D/9vesvLbF68wvLmJv1Bn4+/+LN8cbLgePs6iAVOxHhYMAuUH1GmGXW9h6dBeTGe6rDIM8RsRjY9YTac0e50mJ/cJlw7h9h8hiK9QzsMyPwlopZPMvB45/r3uCy6dBLDrfmYwK9Y6XXYPZxSWdnweoOYVtJBSphXjgTNfjZGWckdt0M/aTGclsRKUnUyipkmHc65tNkiL1JO6pJK56h+RTFy6N0O6tkFVbzDq39ckyx7iPWSfielmkd0dt7giacvcO4TH+ZWusfPPPkLqJVdPtT/GV6/8QaXH32UP/3OGzxeZnTafR7c3+Pt3a/wmY/8Gn/0p3/CO3tfx293eXLzU+zXNx9anQSeRkmQUpwCdxxKNQa/jfVlqrykqqqGcFU2OEjpCm7eeZennv0Y//R//j3++3/8j8gqaCmBqB1xEgGn8jAsQdgEueRFhuedkrbqgqqu8OMQrZv8CyElWjevwfc8hsMRf/6Vb/HMx59mu7/GcNwQhD7zMy/y/jvfZZSNuXzmLFVVMpsVDJaWSPOMsJ3QksEpitWxu3+AF2hmVYUMQ2o0kzxlfWOV/Z3bJMWIsixY39ykKGvCIGE0mhKFMU4Y5ouMMIjxPZ80m7F/dIh2gv7KGrq1xPLygPHhA9559xapqahLzWg8Bi/g0tNrVPOcUWboD9rsHRg6Kx5f/uJX+PRnX6DTb/Hc8nNs391GCofSHucfuYo1hul0RJ4vCHyf9dUzRDrgtW98mQtPf4J2u40UAfsHe1jniOMYKf/2DaB+bBPdOcWyzbMFW90lPOWRJBGe9BhPRlCXpKRoCdvHO1xZu0RapGwkA9qrbcqqoOX5SKF5dHWTlBrnYJZPCXXAsEqpTMlK2OH28QNs7fCCECMFD2ZD+lGXgVCEWhIs90mUz93ZEW3dYyEVSjseTE/otLsoawn9Fvemh7RkQC9pY+oaXyRI46hFzYmbIzEoGt22kIJhkTKcLHj/zjH722NCrclyg8NRW4e0hjzUBDrEkOKpCqUFjz+3SieM0H5APwkRziMKIpLIw0lFokPSrCBxHd65XfH6mzc4s76CF8S8+dbLtFsh2hf0ux3SfMagv8zOwX6jwQp8tN0g0wWz0W3aKuRkdkIVSlRVYp2jS0CIIlI9FmT0vYg40Vig4ynMaaoYVtAJ+yTVw6W6ZkWNTgucVfhaNklxZY4VEls3eKmsyjC1orvkCLWmEIb+0grCacoyJ9UNCq8oa0wxJ5Vz2p02v/F3P8vb792ivzKg047Rvo8q54yOh5SZR9hpM5tOWExzpJ9xuHfAtWeepigrfCnIyoL5cAzSQ3gwG44pPMnWCoyHIUkrocwXbGyuEyYNgu/M1oDReELpfLrdPkpKqiLHSZge7dMftHntvXvcvxsT+h79bo+8HPH+177E/NmP8tFr51Hy4Zo5/zYeY+vTDyaHlLrxVjiJReCsRSmFE6CkRBiH9X2Oh0P27t/HViWVMeTZAlOWaE+RFwVKaJwzje7YumaaaC1QIURDwynygtpaTGVBuCZUQMjGeKsVnmtCo+q6mSIhvIZprRSBJ5smvKipbcOlF7KJEq+tQWioihIlU2TLR9mGNtJut6mdIYliZvMZQkiEdHCaEOiHEb728ZSmzHM8pTBVRb8dMZpNaccJxhpa7RZlXvDi05f4ynevc26wQh21KfIFnkrISehoTUdK2rLEOQ3SIYykwiHyDMkpJhOBrEpMGBLYGitowqoQpIAnfaQxiNqR6CYe3Po+kdL0WytMDrbZHQ3xej3ujA748EOslY4IeP2d/4sn11dw8kWuH32DQdwlah+SF/c4P/iPcd4RD2Zv0lteIF2LzsDy/v0dqlmNbiXszwRtl/H08ia5Vnz+X//vPPPss1z54ItMDm6gvRaf+OQLvPyd77O3fYjzIoSnGB3vsX/nOpceu8YnP/NznBzsY4bXqbMh2m+R1Tlx6DPLQVUwOdrDuRrpd2h1ljnZuYeKQpSyZHnGdFRh6yPGR6+SbGzxyrde59yFI6yKidtrxN0Nkn7MD779XT704jW21pbYGefgQaQszjiUJ6hNgakkuXZ4VU0kW4zqE8pRybLoQSvDBj6zWpCNU0xLcPE5+NafepQGRsMJ0taE3ZQ72xnPhRf5wdsPSHONuDLiwvISZpTw2NUPsz+8T9xtkaqEwOzxzff/gHfvvYcgZTifcbf4pxzNjvj2//oV6uQWKn2KMEn52s0v0G1P6S1L7Pzj7Nb/grXu5YdWJ1pLtFQIHFJpjGvC16yzmNrgeQIlAxyCXl8T+j4bz/8cz1z9MDUCcdbxO//HF5iPT/gv/uE/YHRwn7ZqJttKOIwxlGWBlhBoD6Wai3QYKKQG507TPZVAKIn0BMI2fgylBW+98m3aseYTL/4U79/8AUIJdm7fYbJ9gqpiJqOUuKUR0mORZRRVTT6asjYYcHIyodfvglbM0px5VvD4U08yXyyYngxZ5DVPPvcih9s/YDiesrSyyiKdksQRZdlIWjwccRxhXEkSt1FeyKDTb54HXkQribnz1vfYvneP67cPuXDpHEp5rC2H5LlgfDjl7tExqtVi72hO26/ApHzkI1dZWVkjT3Nu3r/Dma0NgjAhLwr2798miiKCKGBl7REO9raJOh1e+ebXiQfr/J2//2vMS0VdGdZWlyirqnlGVw83BfVhnB8/iU565HlG7IXkRcnCFQzzlEB5aC/gJE0p7YI8W9CN++wORxQux9agpxOUgUtntrBFhhOO0qZopWirCKkVRWmJfZ+8rtnoreGkw5eaST6hG/ex1pIWFbPZmNTWFHnGWmdAPwgRZcXhbEYSRkS1I4988jLlQnuDdtIiKxZM85JaCDBgESgnWZQVftiYm5JasNxOaAeaS2sD6o8F3Ny+h3SCC6trlHXORr9H6AdYYcBaYhVipSAKfPKiwDrIy4y2lnjKw+RNkz3PpqQ258vfGjLNLZGvSBc1r752HaE0UeTR7zSpQK24yzdf/R4XB10i3+MLr77ObJ7x63/vF9h1IbvzQ+osR2uPfi8kkiHjsmw+9M2CyEs4MTW1sQzzjEtBTG0q8B3TYkI+L7DCe6iFJJ2mWKRUpcEaR6/bZmEc0ovw4grtQEuP7YMx3UEXTweUeYbwIwabZzBYrr/3PvN5xpnNkPl8jpKCB0cTvCjgyhNXyU62Ob6zQ29zjSiKGGyskk0yjIZOVxCGCVFScbDv2Dsesrm+ThzH7D+4x/ff26bT8lEIIl+gk4CDIx8ZHCOFxBcF/UFE7SICLamMIE4G+HjUVUmFZGlpk6ouiKOYfJrKmgAAIABJREFUsqrpxT73dw4IophB9wRRjEkpOHnjVb6ZFnzyo1dPp6o/OT882guhLhFCoFXDdcU1Bh3hGn441jTBKxaMqTg6PODGa69Sz0dUWUZRVWgERV0jftQCNrzd0oB1DfHCIJCixjnRGD9xSK3AWSpTIx0opSjLComgco5AN8llZVnRhJLUGOs4222xvtLh5GTBjf0TpAxQykPYEuc8XFliTE06HxPIPtrzSOc53aUuVatDXRmEsxhjsLbJDazyirATYYRBWoEOAoq6JI5C+knI0uoa58+fo9XuMDve4872Lh8+3+a4MoyrkiSKKLMFu/2QLaGwgcdTl7aaOHUJuGZK7kIfmxkcEi0EZRiCoHleVQVCeU1qo2saDw9wWjcTaivIpCSQElHXtPKc+ug+dZURTMYPtVZuZ39JWHV47+0pV848IJEVB/N9Bu3zHMxqqL5OoebUTnBlS/DO7u+wlXyQRy5tMB4ec/vWEUvtLtkkZ3o0RAce5x77ALqzzqxIKe7dYenSU+hyxIsvvMgPlu4ynU4ZHx0wGz1gdnCb7Xde49Jzn+SpjzzPG189xFOOfD5lsNyi0w1RgcH3fRbTY7SncVaxSMe0Oo7FbE4xWxCvJvQ6PuPjIaWd4B+csHn+MgLL0cGIeDRkfjIk9qC/vsbk6JiBp7l48RKeb3jvnfdwtoG91iKkthm6KtkzJUkiWdgchOPM+VXeOryDqmPSEw/tLM/91CYvXX+Ncb7GY4+c4eqVlM7gAefPWn7v32jipQDP+jx2dYu33yo49zND1GbGYHCBYT3jzfHnsdUaWq1wdLxNZ2PI/njGIxcj9iZTBh3FbOsuUnlM6jGmfcyGvgrtl8hnPrPi+9x/J8AGbz20OvGVblC4WjOfzdGBj+c1viRpLHVdNxrlosZJqLCkeYr0FbbIORoesr29jef7/OY//+c8trTO3//5F9G+xRU1TgDW4YU+VVnghMYph6WZbtcGpGeRSuLyGm0DKudwGi4+fpnf+If/Ja24j+f7fO7ax9nZ2Wdp7Tyv/NH/xqz6ElQGT3ewzBr8oDFoGWDQGGcoraWsHGVV0+0tMx2WbFw4i3GWJPb59Oc+g9x5laIW3Lt3H4Sk3+qwNOiDU0jXaLq9QJPnKfvZgnMXLhGEbd59+01EEVKVsLx1AacS2skyy8sRu/e3mU5mdGOfyd4Rz33ocY7mc9JiSmkUg26L2++/ix8oNrbOoVTIzv1tgkjSH2xRVwXLgxUsgq2tSxwc7NEbDNBexcnkmOW1TaxpcIFaa9qtFtY+5JX5Qzg/tonenw8R1rLaXyataqQT+IHPYrFAY+lEAZ4XcG71DLce3CLQHlpI/Mgj8RLyMiPNM7CWVitG5JbVZI3aGkxZo5QFz+C0o3Y1WZozNTkrrWWEqZkVGYGn6a8usShLlO5jMsMwn1EVFZ3ugEG3z2R6RGU1vtIUpkKWc4SpWOn1yfKMUtaARyIVtbKcaS8zWUzxPQ1GIrwQD4H24drFTQZ+gi81KAXO0AljPO1T2IJxlrGoJuQmBmEZhG3iwCfLS/Isw4icoIo4qcfkpc/RNKV2FiW6HC9y5lmGjiOOT4YczyL6awPmt+7SdTXfunGHM5sDnn7yMV597Q3+5Etf4qmnn+LaxjmOFocEMuY4H5KbmsD3cbakEwzYOT4miEMmswW1zNibe9SVxdiKRZ1T1BbEwy3OM1srVHlBWVccDqcsjgpWuh3C2EMKja1rwk6XR9tLcJo0Z8oZzgp8DwbLK0StfdLJhLyo6YZNpLOupoxHJbdu3OGZpy5Tm5q772/T6nVQfsz5C8ukCwk6xLqKaVbT7+cIc8jJ3Tvka1cxMmzW8LVjYR1+GJCWhv3RjMpMuXgxZqkrscWI8XhE2V+m3Y5RXoQyJYvaEvg+R7vX8T2NCJcZ9Fb45V/8LPfu3+Xb3/k+zz11Ca8uWB60CH3B+J3v8kYkeOqpx9CCn8g7To+nJUr6TZyKczhjsc5hTd043YXA2sZkqJXCOMm9u3dPdYKW3DZT3LKuqE6/ts5xqnRukjGdw/DDMMnmexaL7wXYUwpHk9Rnm+2vFac8etdQJ/KiMSViEA6Ksmaalvz68x+k22nz3/2L32eclgghCYKIMq/w/QBjDb7nkVUFlauJg5iiWBBEEXGRYW1Nls0b82ldIxOfLF/QTjpYZ5jNxqwtr+N7hmeefoaw1ebZZ5/jqaevcfOtN0h3b7AUwfE05fWipMYhtebGQvFC4GGk5uzWOu/fvM6jj14BLKLIcGUF1uGEpVCShfbwqgprK6z2cCgqKfBqixIa6RxeXSCExElNokSTLBn4VKaiqAvyBzeo6oe73Vrtdzg5mbG+9Ax7Zhsha2aZgP+XvDeN0Sw77/t+55y7v/v71t7V23T39OwznI2cISWKohaK2iVLihZLthzDCqQ4jhEkQBaDQuIkMITAQuA4GxIphgRBCyXG2kiTFMkhZzgzJGfhLD29b7VXvevd7z3n5MMtGciH8FsDVnhQQH3o/lB466l7n+c5///vbyR5+nVU/ySnl1qcVX+bVw7/e9xwj2s7L3Fr7yR24jJa34B4TKFcXn/7Nsu9ENc7pCIABaMTp5jtXmPzgeeIkwnPPPMMb7/9JpfefI386IggWqd18jQv/Mm/5KmP/gIr5x7ixiufo9t2SBcLhC7AZCxihee5mLrGb9WIrEKnBllrbG2xefMMdh3LYlEgLOxev8rcSE6OWqyuneHC/afY3Zvw6JMPUidHWAMf+e7neO+dS7wnBadOjri9M2Fb3IFBgkg6eMKyl1V0bZuYlJdevYRuKzZWCtLAMnzE49En3mRrNyAJU6rgBm+/KXnyO1O+/uIJBquHHNVX2FzRVPk1nvlgm7YaMa92uVa9wNNnf55Xp68xnpWcPmE41bHsH5wnkGOOkhuM2j3Gk4x2L+fObouVtX0kc0r/Bh31KIW7xcFiyuHC8MzF77lndVLqGolAWE0Yhc1w7jYNtbANzlJIcFxxzHk2LGZzJArp+ZxYO0O8KDk62mN354DX81f4zd/7JH//x36I/sAntJZKVtR1geM2PPkyLwmjgDTVBFIipUdRVgjXobPe5dwDT3D/g49y/4OP0u9t0o66hEGAH7j0e6so5fNTf+dX+L0//AOcMuWxh9pUgDUSD8Xu/oTDSUK/J/Bswf0feIrltTN86EM/SRi2mI1zTp/exHc9dFXwpZd/hyJXeJ6HH4TcuX2Hbr/D4f5+c+tblTzx1NPsjO/y0OOPc/36DUye0O32ibMa6YZksyk729s88SPP8MLnPkeSTHjiyfMMl/oEaJY6faL6kFxp2q0uxtSsrq7RGy5x+dLbYA0PPvIo7eOQocnBLo7rUlRNON/48ADX88iSOV/9/F/wgz/1iwilcD0H33dIkoSqqoC/Wbrob03nyDNwHW4d3aXn93GEpa5jPBWQ6IzVqEugJG1Vc//aOkldEioH13EotWFjacTd/X2WV5YZz6dgfPK6wgqJ6/kMWk3je5QkRAhWVleRXsB8MUeg6fguZakpao0Qltkiox+0Wel2MHWNchwiaVB+m36oyauSwAnJdUasclwvou92mBYpgeMhgLgsKUhoRyHababYss5QxuJKD9yC68k2ZBD6EalN6bohw1abVrdPvx/C3GAEhG4Lq1wqY3CigDqQ2FoS65JaC954b4JCIB1BZSpINK4XkGcxnnBZJAvSqwm9CLb2j3j4wfvZ3ztgtrhJEqdIEVEmMxZpxLicUpfj5sWJpag8CltxbfeI1WgZV0asL0UEXo8smeK2QIourdJSiCbp8F4er9Mj7GryOGk2W1VBdZxyJqMW+WKKNpbeYAldNTcTttKMp7t0+yOUClkZddg9PGgikzdOsORPmAlLkmlMWXHl6janT27Qj2Nc36Mqa/Z391HaUFkXhaU16OI5S5RFymhtgK5j1pYiHrt4mrDdZnw4xXclCIkhptKWqjZEnVXSmWYSH3H34Ar3nVwhandwHIsrQybjfRwvQgiH7PAKZbnOki/ZOHGWj31fly986WXOnlqluPI6xfoZWp0uL//pJ3njK2v89D/4ZSLZ0Iqbr2/fhtrSRHdbY3CkwgiLhwDPaSJDjcEY22imleDutZu8/qUvUVvNvKyoypKi1GjpIoSmqptNtDWmafrs8XfTcKUlEiEMjmwMhlY0O+pjLh6uktS6QioHaQ211ni+R1EVSNdDOg5KCLKqoqxyzl98ml/88e/hN3/v0/iuwliJ1+9DlpPVJbVtQkmEozDakC1ywigkbLWxNMajosgRgC4rlO9R1iVWN7KSvMioyppf+NmPguuzsrJKr9Pj3MX7mXKEqnJcJRntHXKHEVVVshUFOFEbqTXrm8v88Vdf4sKFB3AcQen4lJ0+hes0enK3uY0hy8l0DVJiqqqJL/dCbJVjpMJBgrY4x9Hs1IZKOhTU1J6PyQsS/95iM5fdn8E623z55qd48oEf4sbBZ+lHAVVVsbn2PJV3jau3anZ6/5Kd62dxAsOHH/hhJqe+zsEM8oM9+t02Dz9+ljA+pLs2oK4Eka+5c/lt0CX+/U+Q5wuiqI8QGQ9ePM/OzWtMtq6QL+a4boTXWePdr3yKlQefZ3TiHOX8OhKDlQZhBSIr8VsOVQllUhK4AUk8YXZY4kVtyrxE1zXCFRhTIn0PX3qsbJ6jrmqqShNELVSkqYD1U+dYO7XO9Ru3GB/tYbRHkgkOkjmpTNCxoSsdchUDmoVKKaUkp8KtJAdHgmRccPFcys3tEq89pNWCp848zB3xElu3n+Zoeouu63F6tMGZ9S5D2ebN9A3KPcuj5xaUeZ+T6wHW/ABveV/Edw25tqytX+FoPOT0uuVE9yG+fPkWkcxxxD696CFubB+y0jXs5e+w6XRZjQa4oWSRZfeuUJRsQoyERLmKOI6pjEGo5tZJCklRVscDumZpaYl+t8N4siA3cOnd16jQ5CZnab3LcNHm2u19/sUn/4R/+FM/yvKwi9GWrMhwfQ+tNY4nKLRBuZpaGqxtKCrf9/GPsXL2HEsrG4TREr3RfVRFzmw2Y2d7h/MXzrJYxHQjy1FW8qefe51+F37s4x/BDSqeef+TBJ2TfPdHf4gTZ56gHTncuXOX8V6KlApVekwnM4xjuHr1Mu12B1tc5nCS0u0sE0QhSZrhBB7aWtr9PpHj4Dg+n/s3f8XHf/AHeO+d11lbO8WNG2PWTo5Y3ujw8osvcLg7pd/vU+uETj/gySeexMqAg909Tm+MOJin5LvbeG0XiWJ18wx1XfHum68hpOTCgw/j+QGvvPhlNjc3mM5nDJdXicIIAw1ys86Jwhb7N76GsL9MpQ1lXjQ5H0XRRLj/DTvfsoleGy6DC8OgzzTL8IVESkuSp6hSc6Sn9P0eUlkWRQ7Sktcuma0QEm5v38QRCieeMUlneMJhZ3JEK2gxi6d4rk/kepQ6p9bQ8gPiLKE+5gbWlaXfiSjTnFqXrHVHhNbSkw5ht0nwKeuKoN/CopsXYq2pbciqHjbuZJuzojqIqiSuLYF0cV0faktdaVxrMYUi7DQ6t5VwBdcK2qMW+8mU0DqsdvsETotxcogfLDVmHwOqLqnKnBKLUzt40lBWFbvlPlL5HIzTZpvpCGQtkE4zNbtSgrV0wohS11TJHC/yuHv3LtoY+t2IjfU1XCyvvnGNn9j8EI44ZK4nuF5IicHUOTg1o76P9WKCzoCjWxNssGChY5zMII2H5/skxZT8Hm+NirQi7IR4bQ9jY2ztY+KY+WSf9vImQXdIvligqzntsEWa17hBSL4zZjZPGfUHDFeX+J6Bz9HRnDu3dlEnPJb6Llu7c8pakaQVSakZjoaoekqcx3jhCkWS021LKq0oFjNu7Bziew5VkdAd9JAq4NzFB7GmYm19gzxOkAo2bGMc8X0P34swbYAj6loQzwuyJKfd6dBf6rLWi9m+O6YUkGmDqA+Y9z2MbQgQzz73DG9+45ucWl8jjRco6bK2voLrR/zV7/8hp596huWVFZa7fhMX/m26mfa8hulgddMke1i0aTByUojmxSca1nOS57z2xmuMJ/tkZU2pa0pdUQNal9S1/n+NI9ZqhFBoXSOUwhGi2XJbAaZuhhdxLB0Rzc+gcfA8t6FZmCaoVkqFG7qkWY7nKKywuG5EPJ5QFQnPPf8s//MffR5hBI4LsiogCmnlklpYXASu62IFlEXePBs8H88tqRyPsiwaOYlsGtW6rFCORCDI0hlB0IKqZHXzHJ1+m1arBWaEHQ0JTEKZhzxNxW4d0vF94rKiKCoCv9HvH179N+i60RYGusaWBf5iSum4uEKihcWzBmslWrlopTCiuXlzpMIaDY5LbQyF4+AqByIfnc5xvAAlmyUJ+eye1so7O6/h2j36/RJl/4ReK0RWFzlK3kB5N/nQ2t/mk+/9Hzw8CDhzbhXHHfP1nc+ztHaS5E5FXGiMtUzuXGE7hfN1xuGiZL5tWL/wIIt5ws7WdQ73b/Dw+3+QqNWiG4Wc3OjT7T0HtUc4XGE8PmRxsEU2mSHdABW2KQ638VyFr6BwFPNZjRJNQ+z1mnCtNDEoz0AJ0zjDsVAaQ5XXZCbhja+9wslei3zURydHPP7Uc4yW2gyXumArHnvscaazGUGvw9HdHVQtsHsu3klL36vYOgJja6pQoFGkSYYKJe2qx/LJEBZDZgcOz9x3mme/4yPk8z3m1XWGQZcT6xvo9JCzo/t5686LaHtE1DP43Zw7b3l89/v7fO7yZ5lmu1SFg2y30P5dgjDi/Eafq9seg9Y7FHmP2IlRCg5mWzxx/yPszQ5oFSeYjw8ItORD5z/CG+N/cc/qpKqqhg3tGERcN+FKnsfkcIzruHQ6jelXG4vyQ8bzBa7nYNAEvsPjjz2LHwTE8wmvvfo6RadkpByu3N7iv/hn/yO//p/8h7R8ge9HKOVSFJaktDz9we/i6je/zOww5od/+ufojkI6Sz3CqM/S8D66nT5FljHsD/A9nyxO8byAlZWIbqdHfO0q0lVkC8lv/faf8cCDy/zaP/4PaHVP8JVvvIB99TXKzPDYI09w/7mH6A9H+G2XJI0ZtFpIaekPW3z59z9Pp38aV1bsHx5gETiOw+7uAd1Ol6s3rjHo9/i5n/1Jrl69wsUL93PpvRucOXsfWihe+8arVFWF8sF1fA62dpnsJ4Rdxcpyj/13Dmj1O4T5ES9vzfhbH3mC/cOYfm+K4xo6vTanztyHFwVsb91gaWmJyWTMyTNncJRHEseE7S5nz9/HnRtXkFIym22jnBpjPIKgCX6RMqQs761Z+V6cb9lEy6qmLjXjYoIQFu36FFVNN+zgIlGOQ15kLI7mCKXohx1qk+GKEGstS+0eLdej1DVnesvM8gSJZlHNcRxL5Aowgs3lk1w9uInre2xGHVp+QJLG9LstBA5VZ4lZPkUjiJyAVBvqJKbTa9Fv90gWCbU25HVFVVdIx2XQGVDKknksSG1KK2rTxmswQVgWZkGpcwK6BKGkrRQjr89WMaPrBURul7Ab4BtJaQVuKVkLV1hUFXFS0znebAdeQCjAKk1SlChR05Y+Jj/OjbclAS2QJeAjZI4jFEVV4jotvDLGVAaEYGNjwJ27+4znM8LAJylqKl3x5ttv0794grMrp5jPbuP6HoU1dKRL6dQoLZge7ONHAml9tDW0gwjjg1Np+n6XRX5vcVRFnuGqCsfzwRqCXpuw5ZPXFooFst2j1R2hjTw2a1VM0oJJnHMwnZMnCSv1CsNBi3YUo1xIE0sV+gy7LSbxDIzDnat3Kdc6nDrRIxh57OxM6biCNBV0eh2sG/LAE5uARzLd5Wh/TNjp0JIK3JAyL4m6bRzlUpQaRY2VirSuabXaXHzoEV596essLbXxoz75/C4H2wUIaA0H6NqgspxKp0gcdF3h+JblToePfPiDTJMExxq8IKCWIQd3rxMFDoef3ieKWgTtPo987/dyahA0EebH+LRvl2OtRdcaA0jbRGsbaxuzoW021dY0Eg/flezd3WKRl6Br6qpuOOLKQRoBCqr6mDEtBIImcl4q1fCdjW7+rxTUVd2EJAgBx595ZUwTE65rhHCa2BMpMbqmLhtTobYGVzkMXcGplRF5kuG0QxwpEEHQCLAdpwlY8AOkqbG1pkwy1F9jqMqabrdNkYOxGs/3sVkNNNfMDUoPKjSB36LWFfnRHYILFwgDlySbA5bBydM4k12S7C5nlpao7tasDZYo64JplrPmgrQ154cKcawzr1tt8s4Qt9hGGo1XFVhHIISLRVOEEbIq0EgCY3AsGNfFaotXlSirEZUPRY4dbTJLEqJ4RiFAefd2E51kFb4o6YU99md7BGGbpdUJYm+ZJ878Ci/d+C8Z9mt80cfzvsZ4co6OaHP2vo+ze/mzLA4Epa5IbY0wkttHFZsPnoNKMUs1tphT1BUWTb74Q574zg/jeRFPfeBD5LXhjZe/wq3Xv0TU7jIRDkcHO3Q2TjLfrTBaguwSJ2Oy1KG71FBVlFAsFhpH1hjbMMizNGWSFfT8gMOFBqVBepRFQX/jDO1hH+HA9Uuv8cKX5mycWUVO9nnfBx5mMLqI8C1Xk4x6PWJxO2NY15SJZNgKiLou47nCugEOPXqjAT/ywef5mR/7WaKogxIOQsHVt98iGq3Rzn6Dr17+HDuTP2f9RMGt8R8j/VXOtz9GX6UkXOGS/xZf3auJZ33coMvyqGJcpay1eiwWY/bru0QGvvbNDsudEFWsoaMFH3rsV3nn9m8jywFJucu1vZRHzh6ww+8RuKN7Vie2bgLIFM3feeD7UFQs9XqkRpMXFZ7n4LgSFw8roK5K/NAnDCLiOCZNClqdNh/86IeI5wsuXbrEsDVgd3zA73z2i/zS938U6ddkueHhx97PP//ffovxXso//fW/y6/8499gNBwhZckLr3yB4eAk7d6ATqvN7GhCK4ioy4Jev4fWNYt5jLBw9ux9eJ5LrXMGq2d45bVr/KP/6J9T1g2lx2hLux2xt3+XzZMnAKjrjOWTQ4osQ/gOss7YObiBsDF1ZqmLkmm6wBcO3W4fV8Kj73uU5dGQ965cwfUDLl+9Ta/bIYtn9JY8HnrkceaTCW+/+RYPP/oIaQFh+4DV0SmuXn2PxWzO3mLK6soaz73vUSoDJ04vc/nyDhcvrLG01qcWLrevXEFoQ6/fw49cOt0+1pRceecdnn7u/Sg3AmNwHY/h8knmu1NUb4CQCtf3CJTBD75lS/rv5PmWP3GcZ8RlSmUsgXDodSKEcSkQBG5IZSuUo+iHAZkpKG2JdBy6UZeW77GoZvgooqhP6IQMy4ykKNlwFJPpAa2wg3/MZF1rj/CEResMXUEvaoNy6IQR29MDOq0e7ajDNJ7RVi6pLqiMw429W8RVyUpnicgPaYmIOC/IsxxtSiLHRRWS0IIQNXOrMWVJz28TBF1qawCJqWsq6SCygsKT7BxeJXS61FTMi5jHTpyj1oZOEGK15igfMwh6HC3GWAwDPyDDMK8zQDKtCzwhKGyDyFEoEBqqCuNIsAZdZZiypCwzNpf73L2zTVwUhH7AfDJnc3MTUxdcv3nIM2f7bJe32IxWMXXNSjBknMc4paTt+5y78BDPPvJxvvDlP2GWHjDXc0bRAGkDxvMFs/nhPS0koyuyvNmuO66knE+bK2o/xB8sI6q8uf4UDnFeYqxiejjDSEGvE5HmKbvTBKV8OkqyP8moWwEnRh6tzRWk43A01ww6LuOjMZNFReA65NmCMujQX/aojcQLHPKsxAk8BoMhV3b3wAkZ9Sx5sUAqlzRJkFIgcJBBgDAVgZIoU9Byak5uLjPPDCs9l1avRzWeY/whTjAgdA3Ockgyvk2p+gSqYpGUWKkbk6sr0HlKncRIE+NFfcJ2m3i6RRGnZMmCV//od3mzPeTh7/t+zg0ivp3UHVaY47850RjZTI1SHij4a1B0nGVkZYmuSh544AJ/lBfossTWjTnP9QK0NZCZ442+aH6fQqK1AWsbMxBgTH285ZY0giaDFKpB1v21tMYey2wsTSKZ41CbDG00SkkG/RHLfUFZlXjtLncX8MSD9/GNd67jeS10XSOtxQmaF5/jOojAw5QaYwrKouGzdloBWRrjWYcizxrcXX2sS640QeihjWZ1bYO333qP53/s7+G6DWauKiqMXlDbLRxP4UUdomu32J47tNyQr98+4LtWXHB8zq50SOZTZtOYdceSXHyQ1uywiTA3GaLMwWsGhNJUeGWBkoJSKGopkZWmthKhCzrCRxiNNZZxHVNbUMrF9tvsh+17WitF8XWkZ8iY4tgeXb/FpUtj+iPBuzc+hbInaEdzdHKaN492ub9/hvW1C2Tmrxien3DwLkTtAFlqDrOYtc4yi909/DDgxls36XZCLj54Bhm6vPPuNymrglary+kH38fK2fs5c+48WMvld64ghhfI4i06epOqKtCyxcHWlLDbRoWSuvYprcCTCmzC4kiTlpr8MMZTEs+GZKlp0GWuwgw2+MDjHcY37nLx9Dk2T7YRfsDlz7zIC3/wZzzxHfcjPIezawOcj3wvi/mf88bBewxGLUxVkrRbtKIRkzzn/INnuXjqAT7w6KM88sBDeE6TDFrlCZnWzHf3+fS//h3+5C/e4Nf/yS/zd7/n13jjynP8wTf+Dq5MGI3mrAYpl6avk4/baBdeeeeIB9YNQue8dznlvgtdyjsnSFsLMIpZ3qElZ/RajzJLMx5fWWM+/0tu3HJYX3Hpqw7DbsGg12Kp02UQ3rtbi7KqGnOxbBY0AI7rYqzFliVRFCGERSlJluXUFkJX4QQBdV3j+z7dICDNcoxumNCPPfEkZVly6d13+cqXX+S//V//J/7Tv/+r/Gf/5J/y5Id+gGs3b9H2l/j1/+638byA8WxGr9en215GCMHB4SFJnqG1oVfltKOIwI9wFFy5fJkTG5v4voeUsFgUBEHJfecb4/pKa4TneaRpiqMGZVszAAAgAElEQVQkq2vLeJ6L5zvkmaSqBKE/4HA2587tNzg62MdTLqkpUErRC1uEYcB0HtNfXuLg6ACD5sT6BsvLq7z77iXa7Q6D1TVe/NJXabfb9LptLlw4z2w+J88sGxsbLBb73N064KGn3sfKUcpbb19iHo9ZevgswoZ850c/wJXL73KqfZYyK8jTjCrPUcqytnGi8ZdUKcOlAQf7R2zv7bG2vEq7t8R7l9/hc3/5SX7yl3+Nqq4pq7whnAgBRPesVu7F+ZZNdOT79MKocbtKh9D1cJSi0jVaOSSzOZXW1LogNwWRCkiKFFcqtAkQyiIUVAUUdUaWxnRaPQLPw/YM2lq6nQ6F1vSdPpd37yAlrA9GWF0yKWJMDeN8zrAtKGuf0PNoOQGytkSOpFQO43jBzEyZOwknBgOm2YzQjSiyZhvUDnyEGzbGw2mOKwXWaJwwQmpDXpVUWFoC/Cig0hprBbooOUxL4jKmHBg8P8BHEWcxwtHMiilGWlrKw3W7zPQhtdB4TkTkhlgTIxW4wmKkbagDxwYmKRqkF1aj64p+5JCnCrd2MLYJpFAYfN8nzkpakUNeB6R6QVHWnO2cYG8+Y20whH6bOLW8/PqLLOIFhchJ0gWmqrF1h3mWUYt7i44Rxh4PBPZYOwzCVgjhooTAOBGmTBG2wgqwhAjpYbUhcBVJZTFFga41i1zjUXE4kbSjnF6/Q3/QZW+yQxxXjCJFoQvKvKDIa5Iqo7eikI4DKBQVwpRox2d/kTFci2gC7VyKfIpBY4zCOj5SCyJHkWtNLRSe36PbWzAeJzjUlFoym1U4/gJtBa6whKEl6gyPQfwJtRUEkUNRxiBDlKOO/QM1db0gpcbIDkkyIfAqFnXNNMnhCy9w9se/j2NC+rdFL+07AiU8rLFIZdGmcbdraylKTV4X6Kqm3wpJUsl4luJHHeIsphYW5YVI10HnOa12hzRZUOsaR7pNs1mWTZy2MSjHwdTNkAw021ltsaKJHJdKgW60k9Y2TbjjurRaLaZ1idBNsmFWZHjBCIvCGkMrDCnq5hlhrMWYCsfxUMLiez7GarASFSiquMDSIDNDKQiVxCrv38YCGwFKW5TrIhBoa6iqGpR33BBosKLhTCsXJR3yusCtWizVGTdrgxNI7sQp+bDxdTgWkjhn++4tHhotU1cFImw1YS9FCtJB6hqUwJEOTq2xQoArQFuEaNCe0tgmnhwHa3Nc62CtwbGWPddjO47vaa1EnZyuvJ80vkTgCbApm8Nz7KU7hO0FPm10ISnd2yxH38vS4DyXjz5PT0Z4ITgO5EXFwLUNcce4JIt9gv4DtHodok7E3a0t+qcfIFw/x+HhnMPDhHCwRmdlheHqJlL5+FGHi89IvvbSCxR5RjOnOVjfx0gXKSRa+RjhoD0Xk2ckJeA64PmsnhnBboqjBOdWOiSLFNX1kbXh1NkVJkXMaRWxsdbl+Q8+y5fiu/Qin8XuHkunUi5eeJT777/BUTFj159iy4B2b5lRb4UwEvzAM8/x9PuepdVuo6SDMTV5OmV+eAdTe7z39uvcunGDOF/w+mtvMs8jgn7NaJBR5g7KmVPkU8YzB7+UBP0WZxyBpUs/6pEtX0LKknkt6SlF7koODhaceMTh+u4tdNxhFPXx/G+Q1WMeOG2Q+mHuTL/IooCVaUJHfuCe1YmQkiDwKIsS11VorXE9B+pGzpMkCVJCGPp4jtOQfYoMR7lY21gxyqpEiAaXNxr0KQ0ErsezTzzJ008/zGe/+Ff8N7/5m3z4u3+UK1dvMxoMyBOH3AhcY2m1W8znc+JFxubJJU5tLlPWFfEiJk4S8qIgVDEry8u878mnKIqyuSGra9rtDmmaEEUhrVabqioxxtDpdMmzDN/3EVKQJAlKOfhewGI+xXU8rr/3Jt12myovcUMfkSSgDUkaU1Yl2zt3WV9bwfM8ptMpSkn6vR5Xr13i1U++wNOPrTHs9ZnNZ7zxxhs8+thjrK2d4KWvfIWinpPmOXvbU6piTr/vsXHiDN3WEIFGSMXGqZPs7x2Spyl1XrG2vtp81q2IqB1R5Qm10cynM6QQ9JeW2d/boSozjE6o64wgjHC1pKic///ROQJfMWwPEbJxfdamQiLpBj32F0ecXz9DXlccxrv0ZBchHeqFw1GRUOmCM6un0XlCWiywJgDPY+dwn8OiZvdwi42lJXRpwBEs8pwi0RTC8tXrl4+bMEsvijkxWmWpPeS1m9/kRGsF4VqiMETLEi8acF/YZmc65u7eFpd2rtMRHqfW1jG2hgxujw/puh5JXlEpjTEVvaiHaxT9bg/XdYizlEm8oOUHSFuzHHVpuz06KxWD4EGKtODm0R7aLxn2RrSdZerUQQqPYf8k7UjSMSmVccmzBXscgbiFY6EqUwLfw1iJg8XosmHRHoe05Kag1CV5lhMGAXFpGfbb7O7ukFaaqq5ou106foRVHtIqxrZiaTBirGPmu7t4skWaxHTdiMQuyMuaRbHAlIcsd1Ywxb3VRBtdYuqK2f4uneGQIOohlQtmQVU1bF0jQFQpjvUwwhCEPp1QEriKwOlRI6kAZMDKhkQe1lRJzmFWE7rgWMN0lkI/4szpLiYruXQt5drOHu/d3ufB8yc5u95mMsk5c2aFeaJoOyHSpjjekCzZQliHbLqHLQXaDcn8AkYDHLfdaG7rgsHyOoh9xvOUThTS7rUYJwq3UpjIx3MFtWixmE9pRV0Cm6OkIclqBv0+81lK6XqofAvPW8ZojRQhraiNp0BXh8RlxO7lV/nq64/w3Ps2mjbv26CLNoYmtc9ayrRCSvAcD09Kal8TBA7TWcbWzpjrt+/yzjffZjAYgK0JyoqqLIiPgxPKLENrjUBSa42t9TFt4ziBUJvGxGgbk2ED67D8tYxCAE7gI6QicBXS8bDW4vsho+U1ZuODprFWAt91GfTaZOFJBoHPZJpiaPgeujIMl/rs7+4gpaIVNohN3/VohS3yssIaS7/tc37pJC9f22NlOCCOF5S24U0bU1FrSeSHSODAdsgWB3SGq83AIUB5EcYLUNZFufBEG66kKXtVSe373Mw9LroWYQqWl0YsjUaIr3yN9Vs3WRQpjhUIN0B44lhCU2KUhwyipqmva4SuQViUVFTCpRACVecI6dD2Iw78AHojvuvcg7zz5ov3tFYGwXnGR7t43oi5nSJmASsjWHeHOEGE4ojD4gBlB6y6fRLzBVa8kNz0CAYzStdSphndvkcY1ZT1EfOkxjnaZf3cWXylme3t0YkiysIge2s88NhTbF3/JuO/+B3uf/ojRO0uj77vMZTj8/5nnmIymfDJ35FcvXydKobABGRKolSHaNnFwzC6+ACnTm2wsdxi+dRjuH5OfnTE7OgQh5J4PCWhz9ffuIKe7tOOSorDqzirIU8+/xTF7DppkuKGAYvt96iTMb/wC/8+P579e1hTE0UBnhNhpdM0gTScYrTlcPsdJltXuPq1L1A5EVePNC++/E2Uzdk41WH95Dovvf4qo96MPeA7nne5s/MowcYj/NIT/zGf+uqnGKcZD526xdOn/ms+/bXf5fH7My7fKEiiG4wPB4yimmcf/B6Kcsbyyhjdf4dnNn+GP7v+Bzx6fk5uZsSTM5zod+h3ThCLgL1rr92zOlGuQ101zHMhGj2wEaAFtIKw0fs6AmGhqkpcz8fz/GZRJQSer0izAsdp2NBaVyga87PAUiaKhy88w2de+Qy/8b/8D/z8x36cwInYmW/Tps329pheu8vJE5v82A//BJevXaHtBLhhh44TMstiXM/D1OZ4W95gUy0a15NUdY6UEt9vY40lDDykVBwdTDHU+H4LZQVCKA4PD+h0uvT7bQSSb37jL/EMtDodbty6ga9cTFFRGo1UAd2uz/rqKlme0o5aOEKwfbCNNZKf+PHneOeNt6ipEEoyXOpxuLfLKy99lcDvs3b6DFm6Rz7Zpd3tsjPTtM9HXHvvXaK2Bak52Nni0Ucepr3S4up7h5RlQW/Q+NHiaczd21dY2zjJYLDCtZs3ONzdZjqZMuh2ufTO16g06LxqjP7HfP2/aedbNtGVgCRL8cIQTzjESU5cL9iwq2RVyVjPsEKwOTpJZSF0JMoqdF3R9gPSxQKEA9IlI6VFQLfXR5U5obtBVuS4jk9elVidUVYJ82zBzmGCyGv6ow6jjQ2u3rlFZ9Plwf46KI84XnBnts1KZ4mu71EbQWBqnt48S6/dojIGW2syU+CrkF63BQLG+1fouUvMc0Hbcwkjl8N8TioNJXN6URftu7jKgyIiai1RLyY47oD97A6PXXyeOInB1Wzt7jA72meepaxMtsiYcJQuqG2B03JZTLMGr4PAcRR1XSKE20xwKKytQQqwGt/zOJzkWKkoywRTK+rKsrZ6gmt3boHrUeqMqgKHCiUh8EISnRIvZtQIqvKIwWCF1eXT3Nz6JqujEZPDKVoFZJmiqO9t8McknuOqACkr7OE+dbQgaIe4UpIuxtS4dEcjpNdGiRpTZwgB/VbTWA5bltuHC+bTIwLPR9UpLVehpOEgySgxOI7k1OYKNYK0iHD9Fo6Xs9IXbB3NefPdm7T98/g6o8xSuoMlVtYGuK0RjkhI65DJ9k12ZpZ+2yEoFpjaULkp09JFBB1aUQDSYWN9g1s3L3MwNox6HXb2t8iVpOtqKtMlCl2CQQuUpKw7CKNpRyHz2QTHC8gXd1jMNHgTWr0hihjcLl6rS3w4w6QTKuPyyr/+bR59+D+n49lvC2pHUTUPSkcK/JYHQF4akrRAuQ5Xrt3iM3/2aa5efY9b1y5jpSUMWyz8lCiSpFlGPZ+ztNLh9u4uom5Y7VJYrJDHyYdNclktGgqHEDRKEQFKOdhjhJ4UEldKnDDE9VwCL8RRDY3DVT7aDDF5xslOQD+0ZMrj5HCZYjHhu596gt//y89QVQXSUSSTI5SjyPOcui7pdHroqgJhcJUiSxOsv8mFJx7ixu6n8Vs9Us+yX2qqtCS2TRy9FwQgQSL5/O/+7/zor/5XIA1CClARThDQGQ3RuuShMyvYNxdoR5JreHW/4LTKMFqTZznGlLxxuMs0m9FVinNRhOoPcLa3UHWJi8KfH1ELQa0FqlnFIWt9jAR0mRmLp6vjF4UhCTyCqMXs0tfomHs7mCd2QdgSeN7DrLaHHOmvUlUZYdimr4YskgGdMGPFfz/TYotbV+eErYoTawntsMDtdKlrH2sF/VGX8bxk2PM5Gh/iKU2rE+G1fXZ2rzM6/Ry5KXjxC5/HURW9wOXmpfcQdUx5cIvexjqt9hKnnvoQv/QP/h6Hh2OuXL7CxsnzdNoB7W6fwPOQjqTOZuTJBNd38KIhWbxFe2kJz1fsXbsO1sd1XR69b4NxtUE2nxAEM8rasrm2xod+8G9x8+ufIVnUbL/2DmcefYbO1jcYnHoKXWfo2jCebBF2OpRlxnT3DjZPePkv/m+27txAtCJGp8/zyBMf5mJvme7FTTY7q7T8gr3DXS481CWdF3zskZO8fP1dzp54h93p64zTP+Whk9/PzTLk62/41PU/Y3fxGs7RkMfP/ABbiy5y+V+BO6aOM2bTK9ikRXtwll11wMee+kdMy3cbGYm7zeP3/TTz+o9pi+/kr+SX7lmdaK2RSmHrukGkWYvjuSgl0dbgeV5jwKwKoqBFnKV4ng/WIpUiyzJc12t8CVVF4PmUdYlyJX4QMtndImq7/PKP/Dyf+tKfc2XnJvvf+CqnT59kKHp0hwN8qajLnKzM6XX7VMLS7/ewwPr6BntHewwGA0xtWMQxoS/RuqbfH2KMYXfngCxN6Q/6KCWI2hHa5nQ6XcZHKeNxSb/fYmN9E+lotG72AWuDHgeHY6wQmNrihx5HixgpXRaLjKVByGR8yJnTp5mOp8znE8LIo93qMt6+y/s/+CzKDfnCZ7+Ec+zNePa57+CLX3yR/Vfe4+y5FTYee55SWx5/SvLq199AOiX9/gbDfgtHj+i0WohQcuH+B+kudTnYuc1hleAHAZunzzIYrnA0PqDjeWTpgl63x3wxRdcxtYEyLRrGdl0e37617lmt3IujPvGJT/x//uPVb375ExU1tRLUhcE6gr2jGa1uj3E2ZdDrcZhOAIcsizFlSeSHlEKT6pRTgzXqqqDjh1RFznQ85sruFrf2dpFpzVq3T5XG9EKf1bDDqNvjZH/A45unOHfuNBdW1lEKChOjhaYUBmktR+WM0/01pnnMYZpS5gU4kmFnRBC02S9i7qZjeu1lZmiECnGiLq4bUnoOa8urFFTsZBOMq7BWo4SPh880jrl26ypRO+D6zhWm2T6701uM8wN2J1vMZzPmyZyb01uMszkyVEzSmLjOKY1m4A8YBX3iuOZoN0Egjq+MRNM4W42xTYqSqSpsktFvh9R1RVmmrK1tUteWxSKm7XlYFbBIFjz+wBoFFZnJyXSFQGBwKOocT7iEUUhdGxbxDGscqjIBx4Njs6XnS37uJ3/11+9VIX3q9/+vT9TGEHqCsigaaYetUUJQ14ajyQzfs5RZSl5psqzCCku7FSCtxUrFbBGT5BXC1Ezjknne6Evv7i4I3IaqYoRHIAxB26NMYnZnNac3RnjWcBhnFEXJfSdHFNpheSCpKoWQBvCw0qPfH1FlKUJ4tJfWafX6dHvL2PI2WVLS648wxlLVTTT41ZvbbKxt0On2qMuCMskYDVykSTE4GFNRFhnKDZHC0PIlBoWjLK3uEK1r4jRpNoyOotYWNxzg+RGT8RhjNLt7M+5/5IF/t3jSonVPakUIPoEAdbx6txbitODOzj5bO/v8q//zt/jGyy9w9+5tlFJUNewf7jKdTJjOJsxmY4qyJE5y3GPZjKibFE+EQAmJtrr5HK1BCAXYf6udtrYx2CqpcF0Xzw3wPB+lGnOgrmuyLCGJFygpuXBqg6fv36AduWw+9jye28HxFEr6XL1+o9ng6poobOEGITovEKqRqzhKYq2iKHMc1yHNcj74we/ELPapjctTZ7oMKJjNE0rADyOCoE3QaiGFw+T2Zb7rR34ChKCqNbrS5GVB5AuQiqi3wkvv3Sa1ErDMK81H1tvouoDli3QGywwuXMQ9fx+cPsvB0jJX8jk3fJcdqbihS/aylIOqZmo0N4EDzyfrdih8n8NBn0pKvNEyhe+yWIwR0iVstegNVxm2+qz//M/ds2dKEbc+cZQf4rop2i2ZL26z3HmEt25/EU/51PJtIq+NICStt9lYP0WrE3DnVorXdnECj9kVCSZl2AqwSqExeADWUiYV3bU2uhQk6T5ZljFPpkx2bzOZHTHPSm7fuk1uMqYHB0ynM5KkxvEUg8GIzdMnWVka4vouniuwtqCKDymyKVJ5TLavUGUzinjCW3/156TTIxA+80VGnu5y4+Zdrl16h2+89CqjE0t0fEFv7QJhpOivnSGvBTfvbJNkOZOdq/i+TxiGlMUEv7NOGk/Y27qJlA47u2M2H3kfH//Ff8i5J5/k+Q//CMNBH+Pc5dlHPs6JE2eIF9ssbbaZyi/y8MVHsOn/w92bxVq2Xed535xz9btvT1en+qpbdfuGnRh2lkkJlKIusQALUYQ0SJAA8UOQBAYCJGCAAEEcCEiAOI7gRoZhK5LjhKbEyJRIihRJ8ZLibXlv3a7aU6dvdr9Xv+acedhF+o1PqQDUej/APhtjzzXmGP//fy/x6sG71FSdpPoV9kev0N34Lip9kmF7nXf2FmyuPUdTnWO2mPKZ63+LUiQ0wjGv3Cr4yPqvIbXH1cHnidMau0evEJmPo/MeR8kfc3jURJQXMeptxgvFL3zobz2WWjmaLL8A4Dqrxtkag0JiBKuIOykQYmVINvDjaadUcrWREgKl1IobwcqsLIQkyzKEEDTqbRr1OqPxhGsXrrLWHTKaTuj315inMfVGnZOTE2rNBr4f4btiJRurChzh4LguYS3AaEuR5fieR6fTAGswxtBsNolqIcpTeL6HNTCezBHSYTye0qh7bJ9fIwp8KlMglGKxjHFcxStf/T38sMbuwz3CRovZaMz79444t96m0AUXzq+toj1ZkUkdR+G5NeqtOhev3OT0bMy7b7xBvdnk+vWb7NzfIU/mPPnkFT788ZcIohDImRwcM+j1OXzvHdpr61jXozfs8/YP3ySsN2k0mri+z/j4EGNzti9eYzDYJEkzXEeymC+ZTccEYYCUFr9Rx+QZn/nl38J1HKTVOI6LlJJOPXhsZ8rjeH7iJPrwaJ+80ASuxFMe8yym4TmUiwk3Whscjkf0ow4Nx6EoK26f7OGGPj0VoErBa0dvc2VrGy8U9OtNOl7EVr+H5/uky5xCZXhOj3k6oR50qfsBjnSxumTv7IjID5jnKVZIJkVMzTaoNyOGQY0kS8l1SelWXBncpCxySgxH8RRrCvpBh53pA7pRj7hcIkxITYQYrRnNDojzkmlxjJeGGGNpuB3ClovjF1w4v80Hp/e5UN9inp3gBXXKeYEpS8Yc45gAzxFUSpAnMUfHE6JaQFxqqoZhXpY0WgG6yMGVSKtBSoSwVIXGYFdyDluSlyUXm20ORnOEhf3DA3SlqUcNclOyXC7ptSIyIxByRfkLggiNIK8080SjXEvT9ZgnS9bbHcaLGZ1Gi7RICFSAcCVF9ninRvNFhlQST4KjNceFpisFoeNhqooszVlMYyJfoU3OSWwZtDyCdpfKLyln+yzjnKwyHE00TV/gCMne4Qm9dh0niGjVJXla0qhLlKxwmwE3Ljc5my4Y9BuklWE8i3FkhVQFySLDDz10HuNEFUlaItw25y5dQFvIlnM8P6QoUxynRRRClY/QIiSQCryQS2s1pMxptXuEjS4rAKag5kNeWqzVhLJEeQpdpJQE6ConiIZURUy77mAmOZVOIV5gZUghWww6bbbPX2Q6HTHff59/8bu/z2d/42+wFrqrhk/+1VR3yEcAFCkFWkOlDYtlyjf+7Ju8/O1vs/fgDvP5FGNhPz2gHaxkNkmyRCkHRzkUVUlVajwpEMoH1yCqAoGlsnoF97EaKVffpbWrhlobi+8HK+2j660m066PlRKMfqRvNqTLBUoprm/3eGa7xY1rF7h/vMCTCi08GoFHf+08v/D5X+QHr7zC/Ye7VEbTarRoRDVOTk+QbkC8mOEFAcZo4jjn+tWr6Crh2aeu8LXvvsda6HHziXXOtyK+f7BkSkStEZGlCSoKeWazxez0lL3DYzxPsrW5id8YIiqLg8UWOc8HJV/NV+vrZalJnBaO4/HqP/1f+ex/8T/hO4pA+tiuwZMO+ukPYUwFRq802WWxumgYjXElRVmgMZRpSZbGmDLneDmnqkqS0SlmNkfPxwRuiMwsLz7GWnl/9z08t8m0fJuGu6SSHuP4DVrhNseLMz527T/ijcN/yrbXIBBdimXMssjxwwY7ewWb9SH35F2S0mFvmjIIV2RIvxGgPA9TVBzeOaC+FpKMBUfjU4SAQSdiPJ0wGb9FtxWSpZJme404kXTyKfsP7tPqruNZn907b9DbvML09AHpdIS2FY4XcHD7HYQrCSKfUnvcOxhT7hzz0osvcXpwj1Jrpid32E/nlP2YO2+9Q5VknMp/QLsa0BlsUuRLnv3op5iNx6TFktdf/i5ra+9DHhNtn6MZtXEdQYXm6Y98aEXmLTMms9eYn9zi4fwQPVlggm+z2fkQX3n7H/H0R99id+zzxv6f8Fz73+W6f5NG/Xt8+5U/4IWX1pFmQcH3iZwPc/PiNZL4Iaf5DkL0+Fdv/GP29r6PbmnWB1tYtcG8OOCNw9/hQv0/Yag/zntn36Qnz/H+w4InBhAE27y1+10+9dLPPbY6UWq17bX2EWpbreA3WVVRaY18JBNQ6l9nETvOSn9rjHl0RliKosBxHDzPoyxLoihCa40CiqKg3WniOC67syk/94nPMp3PSauc07MRrh/gBgEP93bYGA5xBEShT7vRYP/wCKkcakEEjqUeKcLAod3qobVGmwLHFXjWJ0sLXEfSbnWodEa3WwMLRZmCNVgkyzjHj5oU09tIoVjECUVR4UUljlLUazV0pRn0O/iegxDQarU5Pj5lMZsRRSH94YD3br2B1vD0sy+yu7vHOz98ja3tTUxpcIMe07nl3s4Zb77xGs899xzfeeMDvnl/ROtoym/9+q+xv39Ep93m7PiI05M9Os02vcGA9c1tEIr9g2M63TbGCBzlkhU5dbGSnYayQaUrbFWBlgR+8MgM/nhTxB7H8xOb6HE6pxu2GUY9ZssxnXqHdDLCaMNkNuf0ZMpGVzJxFaN4xnZznU6jzjzJaXdrbG+47M6ndKKQfDqj0evj5Cm7JyekVcn+bMxa32e0iHE7XZp2RTycVSu8ZZbPOb++yf7oGGMNF4fnGC1HnM7GNJsdKlPS92q8ee8vOb+2QaUNcT6iLAU1ImRRMsn3qSufsiiIywnaSrAZvorp0SZsdhGeYjI5ZF5IEC5ZGrNe3yLHoGWDIk/JhKRuLJcamyxMykgb+l6IEZLhWhvf8ymrFFMofE/xYLJLmuV4VmBVhdYljutQVBohIE0zwkAhXIc01SRZged5CGMQXgQSajWXZV6jEUpSXeKiMEjqTg0M3DncI4ogwCNLS3INldckqitm0ymniymNRoDjuDji8eYvXt3qc2f3lKNxTC3wyYsCN1MEXo7rCPqdCIcKKxy0UNRDcJ2VCcQawzJxKKqVmQKWZGm2Il/WavhBxOlkTpV7FFZQmhrlaQpCc+HSEEENbSPCIOJoNGOZOmT5Kk4xqgV4ZMRzhbEuWqWIvEJLRRT6uPk+iW4iREBlcqQogRWpLcsqZLRGklaYbMagv4bWmjQeox2PSisc18G1LsJaqmqBCNzVYSkllRNiHZ+1YcLhyYjSOPjujKjhkaca12vR6nQZj8cszx7y6h/+IdR7/PwvfubRD1P8OL7tr8qzkl5IjBVUVnMyXvI7f+8f8O0/+xPG4xOs1eSlIS8yPCWZx3PyMqcqMnBc9COUtU5jAcgAACAASURBVBBidbHUJUIqfNclLQuEMaAM4hHkCLMyDErpIXWF0SVBWMdYjeP4WGlXND8pqIoUXWmiMOTaMOIzTwxod5v86Q/ucf3Jp5hOcxbZDmxvEmcpV67coCgq3CjiYG+H8XRMo9mi02ywjDOEgCrLcD0fgeTB3bt8r6747LMXuHmuxbNPDXn41i0CoXm67UOjjfEi/GjIIim53NvA810uX72yQhdLQZqmjM6mYBStcs5wekwlN0hFQeDU+Ob+mE9HIR13yeR4h+HwPEqCMAppDJUpcKWH0aB8hZYSKwXCgLAGx/dwUIgAqkaJViCsBEeijUZIlyqPV0ZO+3hfeAezPyDPYLhZsFzUWcYzlo7LpvcczV7OK/e/SMvfYlocYfN95oWgFw1YzAp04fDNt25jPQ83KRCpoJgZ+kOXvMzwpMZYSVpllEsXxw+oSFksCwpboqRm4EXMZiW+KwjCjNK6PLh/yrWrPi//2T+nqgzb2ze59/4H6GwO0jI+3CEvIaq3ebj7Pv6gQ5FZ4mSM527wzW//Oa3IIx3t8K9eHlH7cEJ+v0X9ckJ29z3uhCmXin+Dtl0wuf091rovsrG1Ta03ZDo94tbZazhnGjm/hRVNmu0+3eGAbLJDYSqmKHaOvsjyMGJaH+PFDqk3o9sa8+zz/yH7h7/L/uxbvPxGhfvx73OxO0CoHs9tdCjSd/nLnRZXt15gpD2SyRFBdICazwiijzHodzipJB9d+03eOvq/uJf9H7SHHyVNnsAU7/D6y6/gfWzOUSH42KX/mA9mf8Ldh9+n0YjpqmceW524jrNqoM2KQKq1Js9LiqrCWhDS/tiwFgSrWMayLHEe/d2PGmzHccjzVcLFj5rxqqpYLGZEUUSWJSSJZXPzHOPRBCEFl7a3ubR9jjfffpeqyLm8fZ48z9naGCKExnE8Ll8+z2Q0pt8N8aMOZVVRaUmcJvi+T6lLHOVhrSDPEzyvjuMaHM9dbbMMPzYhGrPazpZ5zpd//++zKDSOcui0WxyfndJrt9D6iDheMp3NefLaFr1en9lsznQ658L5C+zt7/L6Kz+g3elz6cp1vvGNr6Gk4slnX2Q2WXL3zntk+/fpDi7Sanist1vsjWKuXejz0oMeG09eJMtzPrj1PsO1PlBw9eoVlK9odjoEfshstsTzQibjOVme4DqSsiiZTkb0uj2ysmBzbY3ZIqYoJFW1SnZTSrHeerzRmf9fPz+xie7WevTrTZIqR4YBxSMsb+G7KNfn+s2bdDpDPFdyrqiYlSPe29vj6vACcVmSLlOWNueHDx8irCY/PaQe1JHSpahiiiTh4OweTcclmZ+QGcXx9Aw8SeD6tMIOe6MjXCXxHI/90X0m6YyO18bEGd2wTlUkXO6uM5mMkKZiOppTCksZJFAJam6A0RWJk2OKDBXVCVUdR3aZOzF2kVFpTeDUSFNNZSqkA4vlnFoU0a23qbvbZNJwcnLIaTzDVyGh8QnkqsgzDclyjsHB9QxpXrAerbO3ljA5yRC+g7EG14d2s06S5yhHIbB4SlKpRxMyqymswVQF2Ij905jRZEnelMwmIb1uh2vtdYpSMypnDFoeVWGJq5hA+TSUoJyeoKgwqiQMAybxgqbfxqjuYy2k81e2WdvsMTqacXg2pnQ8ylIwmmVkWQYCtLY4gebyxTVCXaKiNsL1QVgsFcp1MNIhrDfoRYpmr0URZ0gMnu8TBh73DxcEgc/F8z6FcZhOY2xVUlSSZreJpMATBR23pMwsTs0nzl2EyZnNF9Q6LmGzSc1zmE9GzHKB745xGtvU611EuosWEfWwTZrP6XabVNpgpSIvNFJaXGWZjA+IyxrtyMOrNdBlRVDbJktjMlUgq4pWvU6epRQypBSWqopp1tos5gm1mqDMd6k1tqg3u5Slpshz4tld/uj3zrj+cz/HpX4DX1ikVQj5V0MzLcUj3Lc15FnJ3/2d/40v/t7vrpJrHJ/lcoFQkqLMyasfTYctSq0uFNIRSCNRjos1BilWL0KUS6hciiLHcz3KqiTwwlVMnZRIJEUJUjkURUYQ1VZZ0mWFEIawWafXbqMcw/nIcDUSfP3tHUoxYm1zg1rk47WH/OD7f8mvXLtCnOwT1mv4YY1nnnqOMIqYvf4DlssYP/Qoq4yqzNG6JM+XuF5AVcHm+iZevcmLVxLqgaTZaDCfpHR6NTodHxW4hHUPrz5gdHiAdX2EBuVKHOmjTAntTdK9W8wXExqhol5olkYyyxd85yE8W5/T39rg4Zf/HtGv/21cN8QxZvW/akNqUhwrQLuUtsKTEhBIxwUsaZYgHYWxFsfxKNIUWUkq/Ug2YwXGheoxa6JVfcGgucayqOFpwVPrn+Ys/Sqd2oK9k2O6YUBmHdpo/PpV7ty+xdFuzu7eGSKWzGKJkEuk62LcCptWyFTgWjBZRVMJ5plgrSfYPVryxIsbTBcL7r05wwslWpR0hwbjCmJnjK88HiS7xPdHXOyfQ7tN7tx9m/F4jFPvkCz38OhwPNpjcf8dwlbE/vEHZIceYV8xv33E9cs9gkGf7zyQpOsxN9a2KRotSu82STFgby/m1rtfZmta5yM3h3zlT79E5xmfeZ6QlxoTFZR7Fm+xhhcq/FlM8XbFYO1DlNX3mGgXFS6w+U1ktE/XeYmi/iZv3j9jN/kKUWNInvp87AWPh6MjimJMWBbIoMW7tzts9MfcOjjl+GjM0zcTGu5vMAvfJlm+yiT9Q+rRdYLWkn55iXd332DzUoOHozdYppc46kz5aPUpZBN8LAEWtz7h0vBvcDp78NjqRFcljusiVtoMtDaUZgVi8j0PqSR5kWOtpSxLhHgEQ7IWx3VxHYc0TamqCsdxcBwHHmXXCyGo1WpUVUWj0cRawdHhCVopGo0Gi/mURhTxzNM3uX//Hv16k9DzEViCWkCZV6RJztbmAOkIskKjjaQ0FuF6pGWF66ykXvEyodtrU4t8DJosKykriy4rHNdDShdpLZWpcKxmdLjDMokZdjt88P4+9XYPrOHa1YtININum0pXVFVFURSsrW3w1g/fpt1pcuHyU9gi5bvf+Rb1ZoMbN1/g7vsfsL9/SJ6ltLtDuo0Od+/cZvdozKc+dZM790esXb7KJNa8/qWv8fzz56lMxeXrz1OPApRrwMDp8QmlNkRRRFmWdDs9/uIvvsVw2EUIwf7+Pt1hH6sscWqR0iGoh+RJRlY83jPlcTw/sYmeFjFOFlKagtkyZZ4ssSXUdMBCF9xf3OO5J0Le3b/P/tERP/PE01xr3WA8HZPbivVmDydT6HKJckJKb9UwdXyffmOTy8MheRljKh/hGQ7mu1gvQ+EyjWPieIpS4BmXmt/EigqFz1IvMKUCv4YDFGVC6DYwVlNvOLhArdZlNp+Dkqi6wOLgNBorxK2SlEIjA4esLEEqMqNpOhGzeIxVDg0nQJWS/fgIWRyy3uqyHjRJqoyd+BBXWcbjkpbfQDkObuAQl+BUEuE4IARP3DzHa7NdAsfDcRWrV9UKPergYG1Jka9+KGu9Bu/d38MqicDHkZKzyZKo5XDuXJdms0ZVZhwsS6T02Dk9pdZS9BsdIh0QM6OhI6zMUNql7XjUlGSzW6fl1cnTxxtxh3UIghZbl+r0N/uUGgSGsjJMJzF37u8wzjT9piIvYDgYIGUNqTS6qHjv4YhlaajpBe16DScMiQQkBvprTZyiYjRP6DcDPKVIljFClyjRICkFUlmWi4xOy8FoTZFJapGDVS69/mraP09dqiKjjAXC+CyWCTrLGKcxViU88/R5Cm8NnYyY53V6nQFpUWKEwlUuVaUxtiTwGjhei7p0KLXAVDlNH6yj8ZoNbLWkFAHzpCTPcjy/hh6fMM8qPEdQC12KzLKYzkBrhN8lTTNmM0mgCorM4YOv/DGv5gXDp55ncOECL2y1UD/9PTTaPLqIG8P3Xn2br3/pS+TlKvYwm56gHJd4ma2a3qqgXm+u8pStxqLIspjQDSj1St9nEfheiDEFtbC2yos1grRIcYRaAS8eXT58r06RrsBLwvMIfA9XKNI8w3d8ej48v9WkKuZ8/c6crfOXGHTauGHA8dGI3N5j68oVHt5/QCksb7z8MoPhGnfu3WYwXOPJm8+zv/+QrChZH24wOjsmSeMVStxRCCVJpyOi+lUudg2yTBFK0YwCkqJAOdAIHEyZQaEw1qFMEhw/oMxycEFbRV6UFPmc5XyB1+3w9FjzjdwiHYez+ZzG9Suk8xOubm9y9t3fZ+Mjv0pVnFLMTxCOh3AH6NYmRqygK9pxwEKuNWiL24jQjyK4pJAEYYi2FkeFVEaTZQWlqSiqxxtHFXCOl678d3z9nf8UZINJcod+9GHOjo+Igi5KxLRFwSw5Yj38BE9edPnqd39AZSQ4PmEvRFUpYctnultQ2Yp8pKlFkq6jmLkeWsBobsgoef32bZZHoFoZSeGxdqlkKS29/oC92R7+kaX/wpKT/DYP7je40P0wo+ktTO7SCfocZ3cQpxH13hqis8bEnJBNS6ZORHUQMG+MGfmWv/7Rf5s/vf93GL4kGVzqMz/LyWuSYUdweivHPuORNDzOgiHBR5e8eWfJ5z7yCXbMn9MWn+G0doCsDGFfYp0W3bUelzc2eWfvMsf33ubjT8eMph+QzyPuF69xXn0Cd+tVltOAzfOaVuMTmNKnLQ9JiyMmNMmKBe1BjhfcRGQln37xPJNMoN1DpHyTBR79Wh2V+Nx67VUWnbvUHJ/j+FVcsYVofIRrzRts9iPujSOaA0EQvMjDkz2y4g8Y1i8D/8NjqRNXuUihqOxqECHVqgn2vNW2ZLFMcF0XoVjFPGJZLJcYYwjDkDiOcV33EfRoVdPKUehC47juowmwoShKjLGsDfskecEiXlJrNMi0JpJw5fx5pFB4gUNVleiyIgw8wFBZy2Iarz6v4/34szvKIc9Xl9N+v71KBzGasrIUuUHr1QChLEqMyXGVS5JlhHaBFBrXkTzYPUBKxWyeEPRqLKczWt0a9UaANorFMkEIwXI+5umnnsBazXJ2SF6UnD9/nt7mOd5/+12O945IsyVR4LA+HLBYjsnSBc8+dw4rLNu9GuNlhswOV5u/ImJrrc5snuD4HmW8oNttIR2HXrtJUeT4/krOZrQFbZiczWjU61S5JowqvMBHWcFiPMMPHAL/pw+28hONhf/Nb//tL+AJdGUoioxZEjPOJoxGE3Ynh4zSOW89vM294z28hmKWTzhZjngw3ud0doQwGZP0jHm6xDoOwlgKk3M4P2SRLjkanXF6NiEpl+RViSkNkaxR5uVqlS40oWrSdutMswJrCwpKkrTCkRqpfWpRm1q7gzGraZNBkQiN59fxgpBCW1rrG1TWY5LPOJ1O2T07IIoa5JnBlS5lUVLmBXmW44cBRVkBlkW6JDELfCHQuuTe5JgUAUqhrMWXAcoNEbgIJUmSJct0hTAP3IjQbzKdxMRxhq4MlTHEaUqaF1RWk6YZoFksYp5/+kkmcUFmcwpRkSc5UU+xuT1k/XIL67mcFHOKErzIJymmdNw2NRkCClc6KHe1hvK8CBVIKr+k3RkyWU4R2uGXfu0/eGyC/Tdf/tIXhFAIobDarGLBfB9hNUE9pNNu4qIZdLo06iGu7yCVwlhJVZUspws6zQaNQJKXGpeSWQ6DTsidhyOSUtPtNQnCGr6C9Y2IWiSpioLx0jJLckhnWONSCo9GaFlMCtb6HmkVMVtYokiyygwuMZVgMZ/h1HpESlDqjDBy8fwaXtBFFymOlDRCF5sfMEsM3ZqD6z2KJzI5AnD1IUZGlELhIUi0xXcdrPCYLmYU5RJdVlQmp9XyKZOEWquNUBJdaYQtqKwi8EOwBY4bkaZL4rwgDALyk31O37vFWeZxfnuwgoL8/zGRfkzGwrIyX6gMHB6d8b/8z7/N3v27LOMFZZ6BUpSFXkXUKVCOS1GugCyPfIM4SmGFwGIxpkLAo5i7lb5alxrhSJR0sVIQ+SH1Wn1FF/VDlHJWRM8o/PF36UhL07X0nJxv3T3jrcOU8XKO0CWj8Sn99SGBF3A2nXPl0iUe7DzkS//yizz9wgu88urLDIdrzKZzBmtrP4Y96LJ4JCNZZTzXo5Bf/vmf4/r1K2xvtOn65So1BIVBsxjNsNaSzJYsTs8wZY5yBaXbRNS7VKVeocnLgnQ2ojKWBztH7J0seKKheG1pKfMcG2e4rsOlUFBmOenijOM7r1Oc3SP0DbWaTzG+g8kKHK+PUj6YVZqJQqAs2KJACYFQzkqzKASSFS5cSEWG5fVXX+bi9StcuHz5sZ0p333/W1+4c/wyrjylHT1JI9zg7uybNOrraPUmx3uSlHsUYknT6eOogsIUnB56uLnLxQ/DeLegcVnh5pqsElSeIpc5qTY4Dehd8KiGhuGmZOlPGN/O2Xqmycb5Jr2LNYRTMrxQR4ZLytYxl7Y3KOQlOuaUu8V7bPb73J4e4K0fs8wqDs9ignZCuBEg9RaDc4IL517iZz/3m0xq38OoBrFJ6fRzbl54EVE7RcuCsizwQp/BesLa1gaxeoBXu0fY3OCTT/9b3Kn+hLKw9FSbLNrlxuYTXOj+DBdal1hKi3aXjEb3efrJ8/zpm6c8v/Wz1FUblytcakpGyREb608xjJ7iwfg18mTMolhDMEDJCQ2vgTRrWJ0yCDocjPZJspyFfpPJosR3FmC3WRDjdDOm8ylRPaeUKYPwGr45oJiM+OHyi9wd/5BFdZth60nG+Zjz9Z9lUeR87rl//7HUyvFk+QVtDZXWCKVwUURhRKE1SVlgq38da6mNxmiN53lIKdFaE4arGDyAqLZKhqjKCsMqVs4ag+N6lFo/AjrpH2/U4jjFGsFykRDVI6LQA2twnBUp1RiD6zokSQriR+ZHB2sMZVGQpSlSCBr1Otas0oNAEC8zgsAjCLzVJu6R1MGgcF3JN7/8D9l59y2qwq6gqa7LyUmC72qiyGdjvU+tHhHHOQf7h/T7A9rtFSpcl4azsxGdToN4aZBI7n6ww3CjSVR3aTUa1Jtt5rMpcbJk5+6Ic2sehydnPNh5QNgc8MmPP80HZzn1Ro1hTzBLMnSeIVAURUESpywWMQKXvYe76KogXsTceOImBwf7pFmJY3L87lM0hht0axGOpxACus2fLmPhT2yi/88/+sdfSOYzNgfncDyPfr2BldCs12j5NbQrWOYxbaDeqHM6HpN7GVovV7IGOyMQDr7yiJMxSjjkOmeajRGeJfIcPCdC+ZYyFbRrHXKdM1+sdEn9+pDSKDSCQlTgKaoCwiDC9VyE54IXcDJbYclP5lNKadEWFvM5maiYmISTyRk7BzvMsiVJlVN5ksPZlEpplmVCqksSm1OKAlEIXCWohCUuc6RToywtoRvSqbfQiwqBz/NPfBrH8cnTFR3RdetoYDRKWM5z9vaWnB0XnBws2Ds8ZrpIiIuC8XjVVC8XOctFhpWSWZwznmb86uc/zpQ5jXXJ5lYHJ4L1zYi8KJCVpN9fW8EW8oy17jq+28aYgFxaWk4EpQHXY3PtHG13C1NChsP4LKbT7fD5X/h3Hltxvvat//sLpiqRwqKEQTkCT7pYIXCloVZvU+Ylu8cjfM+lXq+hhEJbsFqTp3Mqa+g0a0Se5PB0gh94oC1ZpQkU3N8dkWYVlZDME0tWeXgyx5iVIzvwJUJaGoFLmkgqKzCui5CCKs9w/TqRm5EkCoEmzQytOigXolrIB3dOKa3BDVsc7z3ED13issJxFMoaGrU6joDSaIwGo6CmPKwuKMoS4Ya4CDIDr77+AwJR4ioPzwEVNLHG0qsXWCEpK0Ut9PDElOlc0+qtE8iS+XKG7zospmOKQuO5KyOdTWZMabC93l6BMXjMxsPH1ERXxnzBGPiLH7zKv/xn/4RFmiDMiupZFBohVpnOSBdb6dULx66mQ3mWr5pnIZDWIKVH9ajmfny1kIqyyFerXSxKuuRFQlVqDBrP9XBdB4tFaUM7lJwLoF8TPLNW47pX8Nee6HB9rcknn7nI89t1LkcVm2HF/d0d7u2e8ODgiDRPmYwmnI0n3Lr1FsPBgCJLaHd6K/NvGBIvZtRrEYEj+fiHXuJjn/4Mzf4GPikeMTLPUN7KeLw4HTGdLjg+PiMrcpJlzGK+RFmNWb+CZLWKlo5LWaSkcQqm5P3DGYW2PCwslaNwfI+dOOezA0m2WFJlJf3NPhdeeAm30aEoNUZIvviVr6NMTnPtPJUtMVqvcqIFFEWF47pIpZByBaLRyrB7dMz9D35Iu9FmbescphRcfuLKYztTvvX2V75wsPxjLrq/gFOvGFdfJ9AdPnnzP+fuwXe4uL5NElf0apt06ldRKoVazFZzG9G02EIyuOgjVAPplFx7qkn7XEnvnEf9gke01Wa0cBCDI3odDzcsafSHlGNL/0bGjWvXaA88vLKNqo2oBV0yNcKIA5R7A9F9QCIj+n1NFcxZmiWD8wFr555H24zedkyj6eIFbd47+D7nz10kK+eY5gkbXUG32UbJJossYWN9m2W1IFRLMlHR6QbI/T7PbH+CV07+gEFPUOg60juj3taU7rscxZpXjv8Z/fazpMsdHpwt2V28zuc/9DFOZ3v82kf+W1RuuD35BrXWM3TCPvXaNlSWSXaCWz9mWVTsnU4ZDgp0tsFm+AwPln9OKU+Rdh1V1RgOPoRREzy3yc7oNlbXkPKMXruJLjSLcp+3dxXNzTNC2UXbNoPNh4zHDS5vNhkX73J161levPArj6VWTuf5F4RcEUlXAGKHtCiIs3xlRnYcykojnJXJ2FUu9lFiz4/0zz/SRWutKctyJQkpNUW5khkmabrypgiB0RrfdVb6ZD9Ea00QBpycHFFv1HEd59HFfvWbLUqN5zkoR1FVmrKs8D0PbczK8+Ov0nzKsqTSmrwoCH0Hz1+dfUVRoY2hKitKrdFpzLe+/PcZj6ZUuqIocpI45c7dPdaHDZqtGrXQX23IlUu/28FzV0lSR0dH6MrQ6XT5xtdf5trNJ2h3uoRhRH9tyMnREWdHM1rdNvu7e5Rac3Ky5OLVdZJlxgsffoFxbGmFPlWc0YpCsgpGo5Lzmz2wHsoRKCWpNxpkWcJkcsZyMcf3fY6P92m1mrhBSLMWsrd7m60bHyWOCySgHIdu0/+paqJ/4uzcU5rtwRaqyDlKTslsiq9cJvmMgd9jTSquXt0mKXMcFGu1BvVI4QNaWBQO1mioFLbyWWQLpCcgVvh+Ey9w6bRanEwm1OoeqS4w0sGrB/iOy9LGCBWQOSXWOKTWIl2IixJfB4yWx7SigrNkzCBoohyXs7MF3VYbNwhY6ITxbMEg7FHZKQO3QTxPKVxJ4DsUcUbDrVEZjasUiyLBCxvU3DqLbIJX+ExNBtrgVyltN8BE0HAidnfv8Mdf/0tKnbM1HLB3fI/5LEO4CqMFeZavgDGAG7k4rqI+cJmfQpkZirzkxs1z7B4eYH2BWC955d1XGHZDUhSRcrna2iKUIX4Y0u9scPvgfYLK0pAenpaMlie4qgZCklBDuArXVTw8nFILNLFxmJ8laKu4O9p7rIXk4lHaAikdBBolwdoCR4FnFZoZzWaEeyzIkjl5VkNGAm0VShmajQYyzSkMtFotWtM5b93d4yNPbuJLWGQFk7Tg8gboasFoJJkrRVEaJvMl5wZ1Fpmh1g44G89ZprDWdjnYm9HpW0Znc/JqwfUtH8ddmTNOJ1N8r0ujEbCYzGh4Ls3AJ52dribpnqGqMiodUJUpcboE5WGFu3J9UxErn8AX2CKnLHPq9Qa6NJxbO8c7737Az/zM80ivhsgTMDVE0KTpWkTpYY2gKD1atRm7995hcO4JokYDnczwSQm8Fko6OEpDsWR66xV+WG/wzJXeT2UoPUBRWpK84J133mW2XJCkCcZoqmqFLinLCuG42Grljq+MxmU1NVZqlQEthAPSPrpEeChHIS1YKZEStFHoskRbTZ4XqwhLxwXjkyQpldUosyIXJolDWhMMjcf7ec4wcoiTghcubdLuOQgVoDyXw90jPnO+xtfuPUTRpag0b7z5Op/89GdodbuMxjPqjRrKXRL4HvF8xuWLV+mur5Etl7Q3L7F7cMb62gBBhYui43k0Wy2oSlqdkCLNsOGjiKtZQi3UjO68zcZn/yZa+lgqyiJDejWsE+J4Hp956Qbfe+MdXgglP0hKbM3DGMm+9agVKWHNpbveZ3m8B80Be2cx662IX/6lz/L7f/gdzt38GRwvAKUQdiW3EVJSFMWqcdeWOzu36dcCtgbbnFsbUghBnOaox7x6nSY/hLLHXv4N2H+CfvNvUrmvsX/2Ll51lcPkfbzaZRwF7cYz7B4tuTT8eRbOEd1zZ7z9asC8THnuSp+j9gHHtzw+9tkuUed1jvbXkXkbzm0TNkYYDGtmi9rNU5r6r3OmDzhOXyGwLqNkTLNp8RoblFZS5LfYXnsOJ76O327S9a4zTQ4ZNufUnSHlcoCzLJg7c0q1Q3Ks+GtP/yoj9ujebJDGEUXxx8z1mJ3xDtv9j3E4+xbd5nVm6Vt4UQ8bexwlguYkoVALNpq/yfHJHyGiBfXGdY4mZ4Te12j6EbP4Pn7wJlEouX61g1zcoDm2/I///DcIvTUG8jKTfEQc/YCN9n/NvdM7aHsKictz65/lMPwKA/kiatDh1u4/YdCz5EWIcsaM50tsNUVWU2ytw0bf58bWnMUS0kwwSSa0ox6hX6OIfXpRxL7YYeduk+2+zzh+n436L7Fz/L8D//AxVYrAWDBWEKcplUkJQ3/lOzKWioow9CnKDGss1lYo3yXPMqQUuI5DrVZ7lBe9Su5I09WFPU4SEOGjuM2SwPdxPQ8poFYLmcwTgsDD6orNc+dYphlpZqmFPsJIms0IqUBKhyQpgRUXIs8zPNdFVxqr7KPptkOlK3zfwWiIl8WPG3xHORihoSzpdFvkaUZRGup1n2azyenpKc88c5E8Tzg9Lui1muRZTlVolUSxdgAAIABJREFUtrY2sFTMpin1Woso9Hn33btcv/YEvivY273HdJ7gxB0ePDgmdBqcns5ZLFN0UfJv/uLH+eZbh1wanme91yabLrhzOEc4grXNNvVOjaqAs9094rhiY7NHks1Y31hnsZwxmZwy7A05OdnjwoULKClI8ozD44ReT5LOEprdDossY356ytVzNx5TnTye5ycTC1PQdXgY75LYBYGzKqZBrUbNWcEvqjQmCASR4+EkITU3wOoVkUy5irJUzMsZ2rqUFJhEkwvJorDEZkFcrlIrkCCti60MWZqDJ+jWG2hr2VsuaLmKtl/j7u6IsKEY64JRMqOIDUHgMF/kJNmIyPdYzEfEucYLPDbqffamI4ytCF2X/nqTsclwrGKeQbvZQ2A5XExJK8m5Rp8k1TTaPZIwxzeCjXDAcp7wwfEOi3xKs9Xh+FZMoyWYLUr2J3u4vkfQEKQLVpNC6VJr++TLmFanhjEaz5O0N1x8V6Irj0ZH8tylberW5dkbzxK4XYKwzen0gKJIORvvUW+GxPGExXJE6AjGbklYbxOaJltBn1F6iiNqZPkCX0YcTQ7ottcJag4Pd/aY5TN8XyB4vLAVXAcMuMrB8dxHN+sMnxzcFsI4DLoC9+YFzk7HLKdLdJYRNFvgBKshOiv6VBCGFEZRVZbvv3eKLUsGnQbrzYDDOQQSDkZTKgFlqdnstrm9N6VZD5FuwnoTjkcJqtskdCtG04Q7+xM8afFUl2bdw3MN165dJAwEioqi6jG8GDHeP8VISbtb5+Q4YWN7i/FiScNT5NkM4dYp8Qk9F4SltAojFSoMEEazyFcI5agR0mvXiJcJMnSQVhLWu1T5gkwq4iQjqrVwpcNktsSxFhvvkJQD/DCi7bUpbUVlKwwek8kexCmTr32Z8xd+i7ZrHjWUP11CaaUsuqpYLhYUZYnOU4xQaG1XualC4lqBlYIkTXFcH2NKpIBqhTsEKhD8WPtoK4OjHHS1WidaqTA2x1HeSterQqSSFPkqoUYC0l1htwtjOFxUHMUlNc/DIeNG20fVEzqJ5dyFdYLKEHUH/N2v3OLXP/kk4eZl/qu/87t88jOfY+v8Ja5dv0E2GyPCBr4rkcKnVm+gFFR5jiMFynfwpENVGZxak1GuGHZqmGRCNBhy7slLZLOEqigwStFt+ihWMZizv/wXtD71W5TlKh3D8Vy6G5cIwxbFfI+g2ebTL1zEf+s9vj4qUI7lH7x7xn//octQpQS+j2o38btDjs/u89u/91X+y//s3+MTn/4cWElZlbhYpOetvkvf5WQ25+D2LZ68/ARPX72xmuy7K+OmFQLf99BGP9ZaWWs9hTG36LdCBJJMfJvROMWq1yh9WKQ5zcY+nvMSR8krTNWU5fwbJNVDbJny0qdeQJaf5Xj5XfrhTeovnfDw7H1ayZDE5vjemDIZsL31eR6O/h+knyJsl44fI+0cp5QURmNdxVb4q5xVP0Qyo69e4Pb8B6xFLzKZa1prPWJzQiDWmS0f0m/26Hc/xjunX+XZwee4Hx7w+ujPKKf/L3dvEqtZep/3/d7hzOd8853vrXtr6nlgN8VBpEjKFCnKmmLFshMYkBMgQBQHyoBsnGXBG2edBEgCSI6jONLCioRIhCVqskhxkNhks5vV3VVd83Trzt94vjOf82ZxLpWsuLBdQJgL1Oauqgov3vN/n//z/J4xU+ce65GPL3Y5SW9QiS7zskbrkrj6Cpb7HHa9xemtnM2rZ+T+28hFimVqRv1XeEHv8faDX6fXfxXfXafndWiymA8OCuI55Gev8uUPf51hscP6c29SyJpU7FPGMaasef/uH/LGyi8yzx7y3Ue/z2HnG3TWPiQpFcdH9/DDLbSaUFoNtqvYCgM85xJ59oR0ZrMzukqa7DMYGu7ePUBjePQU1nprdPtf4fFRTj8YEnVfJTPf4mPD/4Wv3/gnDHeeXSanrGqUpcnzEtvSyAaauqHBUFR1S8XKsnZ7rUy7danBD0JM3W6/0jTF0pqyaAs/LEtRNw1R5NEYgaM1gvaOkkqBlFhaM+wFxHGCUJLlYoG2Xeq6oqoEyBLLUlSlYrlcUtWGwHdRSrWDZJKDFFhSoC2LIquwdIvnq8oaGqjPsx9xnCC1jQBu33yXPC3QUhCEIbLRdKOI8WSC0+0zCF2iboDrulS1IV4uMIBlOcAPCB8WUcficP8pB4dHDFeu8vjxYyLfoSgFtz64QX/Y5dU3X+XR0wmvbK9y93DOdpIinA4vXQ248eCUt6/vE/U8nt/sMZlndFccHjw8Zme7z+OH+5ydHbG5sc7p4RG9bo+yKKmEYNjrMx6PWSYJ737jX/KZX/jPkFLR7fae2Tl5Vj8/dIi+eukCJ+MZkXaxDNSNjagqpG6wPE0WN5RFSU/3qXNDIRsWswVZmWL7GpEJyrJBKMXSpPT9LgBFGjMvZ8jCsGBO5Pd5Mj+l57ogHfwwQiKZZhnTvCQuYlZ7F3j/yW2ujHbYn41ZpgndTkC8WKJkh3k6YbU7RCJI64y19REGg6kUr198kcPJY2osFtKmKjIcabHaXaEfhMzzBKUtNjZDClMigrrtry8nbJgV0tkYUVWMgj59GTGKPHbfWKFr+wip2Z8cUueak2mL0Ns/mlMDtS7Y2+7S2AVr4RqXn1unaiysOiVwulzee4lRd4fTk1M+fPgBHzz+FkMv4Hg+wXIVotQ8nies+COQGtloOk1IOYGpTJlnx0wXCaLj8cJohzhbcGn9CmezMQf1U1w3w3UDxmcxd06On+lBSrKihaZLC+ollXQRtkPT+Cia1lcpLbqDEULYJHlJ1VRk8ZIgMES2ohAN6TIldV1WVkeIh08JLcXG+pDHx2dklcbJGkTHZW81ohKKrdU+d/ePeG7DZ/90SRILvHWboij49q0znt8b8eBwytFkzkY3YJllKDtguNKnbBomJ2Mcz0UWGXduj7l4aY3lPMOxFIWzZBlPCdwQU04oipQyKfH9kEXh4NuCebokQRD4HsJ2qJIFyvVwbI8rL1xlMTlguZjQ63XITUjgRVR1SdgNEHnGeDYmDBsax6KUNkq025tG+5SLY5anJ9hhH7+zRpXOaBqPP/znv8nqj32Kn3z9ClrKH61BujFoBW9/6+uUVYm2HPIyA1PRNBIFVFV5Xp5CWxRg2tCcNIKirtAIOLdwGNNgS5uyyDFCohQ0WYoxYGSNVA51VVIU7fahMTXSgJAa6gKlJJZ0MUJQC0GFw+3c4dbbR6x4Dmu3xvzyJy8TkPDFT77E//xH17n2X36C/+of/SpJUbG+vYmQDmK0Ql6U+L7XfrBsp71DHAfXcRCiwQiJtjROt4sQNbU+xSFHVgXLZY7luVhZRVkbZF2TliXES+In93EP7+CsXqYwNUpJyrxCBR0c+yKvvO6TmjFRJSlnM8ywQ2wgdly2V4eMz07pbvTwuxv0L/f5T//jLY5Tn+7miCLJcXSAQVHWhtv3btL1bfYuvczGcBVkO4g4tqZB4LoeyzQF8ewf5kfZjNoueZLc4vnRT3I0XWL5C7LqBrPZBUbh69gc8eH4T3DtES+Pfplp8m1WNxWTkxcR5jIbKxXrnc8wK44YJ4a4+RC7eJk3L/4E49lNnqYP+PDxe2AnLPMCyRwr7HFr+T2k0CTzlNeuvML+7DrH8U1W/T0Kx0MtrvBo8Q7pbEhZ36RBktaSUfAcB/lbxPvHXNm6xK2Tb7Gz+nnef/KX2KsZg3SDZTXjrPwalurjdTSW/ZiiHmLLKVJvc7p4m2M8Bs5lFrdjwu6AbX+POD7kzx7/Jg4WLw/f4N7ZTZLiq9TyFTzzMX7s9R/n3Qe/w9/+GTg5KHnw+C6ff/1nuPX0BkW6jRvdpuuWTJ0vM551ubzRQRTvMOz02fJ/ibea34YM4sriBe+nmLh3GHRe4fr9t9k6+gSD1Sm37l8nFjPqO3sIEfNjr59y9+4FpIjITq4ynTzgc1tDjnKBLp/n+sl/h7syJp787Wd2TvKqZjmb4nkenuNio5gvF2itzstpcpTvUNXnXGhjUBYUaYa2Ws+zZWmEEHieB7QFLGmeoc/tTKZpKUFNY2iq/P/ld7bodjvUdY1dVVRVTVVBYNt4gUVdQN00hKFLbWqqqqSsC6pa0O0HGGrqEvIiI+q0BI40qdBaskxaBN5ymZBkOVJW+IHHozvvtPmIqsZUDR/cvEG30yWMOjSm9UR7nsdsNqPT6+O4NlmWsZgtcV2L6WTCcKVLmdZMZzlXnn+Fp0/PEPmMyWSC7a2ihxu8+cZLPFnmaDtCUvPmc0Pu3T9lZzViMjthEces9n2OxnNWeiGvv3yBg+MZvi2YzRYcHe5DYzjYf8qw38MAyTKjqiuUanncx0+PqJtvof7uP6JOBVmePbNz8qx+fqgn+nf/z//1WuC7nMxnGOOSF61HUWofjYtleSivh5QOk3hBbRpqZQg6HYyC0mqobUPd1GhhMcljhIbSGCzLZ2u0ji0CIsvHcyO0a5GXBYsypWwkJ5MT6qYmy2pcW+NbDotlQaoM0OAIxd5gHUGN3+vQ6QVIx8KSLrKEwXCFtMyYJQuyImVzuM10OaMixwtdyrLGMoqkyAh9jVOAawqyesLI7hNZPlDT5AZHOpRAJkqqogIpKSoohKHQgijssh5Z7K702R516fcFH33xEntrG2wPNrm8dglT+GTzo5YsUhlOjw+5fe9dnhzd5f7hHQZewKIu+Tt/61dY6a1iS4fnLrzZvpQXOZvr2xyNn4CoiXoRi/yIuvbQVc00G3MwiZmVCzAWQdDnpSufwLMcro6epy8Uv/jL/9GzCwH94W9fQ9kEjoWSmqauqBsJuiVnNHVDkpcoy8Z22zDk8dkEqdoVvLJtmrIiTVIaoNfvs380IeoEXN0ZcHGtw9baCqs9zTKuqIQidDXdUDGMIqSwmGUV40WKtl0mi4qTOCOrBH99/SE93+EzH7nAsBchHRepBUIqMCWB05DmivkiJkkqhj2JdrvkywI/8pC0K3Zb1Zhzn2iVnoHlo6RgEc/phB7CNBgpSbMGqcA0GSdHYwJVoeyAqgLbkZjG4NmK0hi8IOD+/QOKvOb4eIyjbSLfkDc2yvJQto3UDkpZeK6LlIqyrEgOHvHOu3fpXrlC1z5/C4t/hz7pZ+SJRnBtkeb8i9/4DeLlorVy1BVNVXPe1k1DjRLivGHLwiCQTftvM/IHxQrtx8kohanKlqetZPuB/EGRQt3ioCQSbdtUVYGtbYRU2I5F4IVobVE3DdK2UEg826GoG5RSJGVOXRvGB0+5sDHkjR//OJs7O/yrP/sW21trdFd2QUiiMMR1XBzPZTgaMuyPCAKHMIwYDQf4oY/ruTiOQxh4dDo9HDfAFBOGoWJxuM+Tm/c5Pp6SpSVxlvHwbMHmzio/8UtfxFaS8c3vsmLHJE/ewwTrGKnbwhglsJyABJ/e5iXGh085mc3Jy5TvHaV88vXP8jQNOKlDjmNFLUOUNyCMOtRGEEVdbj+4w5P9B/iOxYULe0TRABpDXZUopRFKtTXqVUVRlmjbAQzCUuxdvPDM7pRf/5N/fM2yBRYVi+wDTDnHlHu8NHqNpfwQWTiMnIssxQk1Lrl4gPFuMJ1GjJMMy2RIs+DB8pB39v+AgfcxUnFK1Ux4/+EfcGH0aWLzbXxeIG5OyIoFpgo5q9oSi47n4jYRyzImqx6R5wlpecRk6dDYt+hJF+EeEEQTstqi0Ckl90BucLH/EonJuHnydRbLEz65/QXi2GIsvo+tugjrmLx0ef7CPl+/uU/HXmFbX+Le7Al5k7M+uIrhLnr9Ht3OBa4/3qf23qI0Db5zlXFywGb3s6STHp+6+Iscj89olKEUH2KqOdRXEGLA49PH+CpjWt+mPxwR2B2qpYc2NsqZobNVhH6e8TzlYP+AT77+a5wcnXDF+Sj1sWFt8wv40ubG2fdxvQmNvkeS12ijsZIu376Zc/HCOiP5KZ7MT1hdv01kf4Q/v/6vidQLFHxAnl9Emx5ffP3vPZOzcuvJ2bW2zdHCtizKskRpiZIaJSWe41BWVVvSVFWIc1CA57XKrue5CNHeK03TtDSOusXdGRpcyyXLc2zXIUkSXNuhqqqW+CEEed4y4U1d4yhJv+e1GzIj0bZGqYbGlAilEAhs7VI3FXXVtvbWVY3jtIHBsizJ8wrLssmzgsa0VpXagGVZpEXNX/z+/8RkOmEZL2lzSG1L63K5pNvtsLuzRpok5+xryXwec3R0TKfTZT6bIbGYTBZsbV9mZWuTG+894OKuy/HxhNdeexVLg8xibjyJcUzNcNXl+ocnHJ4tENrmxv6U1/eGrK2OEEWKaAyPD6dIRzPPUtbWIr771jtATVMVBKFL6Hs0psHzWw/5DygolutAU9Ib7NAZbVHXNRfWuz9SnugfOkT/5dd+71pdKDphiFGSbqdD2tQUTUVa1ASeh0CRpAsWixa/4nkeg3AECOqqxBURnaBHpxvgeR1MaVhmFVWZs4hjTJ5R1zV+GFKXDY4WzBZLBmGHrdEGRVOhHIltNLOzlNVeyOlizIrbY1pkBHaftCnoh13WBmt0/YCN0TrGqpjnBdPZgpf3XmS0ssXNR7epshzZVHSskDxbYgOmKsjihPFiweRkzNDrM24mnEyzVvHuBSgMlpacLGek2YKzRUWZ5EzOJriOTVLETNUcjwg8i/WtHQb9LUyWEiiLNJ2QLsfM5guOllNO5mPGxYTSQBNoRt46vrNNVRge3H+be4ePiZMjymrJLJ6B7TBeTMBuEArWwxEkFffObtGxfA6mUzYGO1DWRFaAcFyOn97nePyYRTHHcz1+7hefXbDwe1/98rU8LzCqIasMQiiqpsQYgZIODTbCFO1AhEHZDo5jUeZp+zvTsMxyZnGM0JoocjGl4a+uf4jUkl7kok1Nr+fjOg2TWUZRVkwWJZYC4bh4jkVWlKyOepxOljw+mGG5DrIu23SzlDgaxqdzkjRhOo0pFxlKe8zigqwSjCIbP7RRpkZrgaUgLWqwArK8RGmfoixZjidg6vOVfcoyKXADHyE0Rb5sFVe/S5bG3Hw84eJmDyVL8tpG6xJleSyTFKuOKbMlUcen2w8QpqQuGyw3AGXz5MkBh08PWcYJQhnKWqBsG9dy8GzB0+vX+fDBCVdeuIQC/p2J0s9oiM6y6tr7t+7zl3/6R2RZSlnVONqiMgal2rCOaNoaeIHEmOZcdG5QUlDVBikkSNESJOqmVYFsB8cLsByHvMhpEFRlhaD9wDRVjdYKKQW+66O0hdISKRVhGBJEHZqmRioLZbdrXSFtKgGh67Nz6SKT2mGWSCwvwO6vY4RFf7SCbbVknCgMaWqI4yV5mWMphRFgakFVFthaMugPzoM3GkcWhM20rYY/PsCUFUHXJ88bBr7Np7/0KYqiJfhMpgvy2YQwkpTLMYTrIDRKQAVEQQfb9Rm4Ht+6cxNl2SR5wUdeeJOV/jpB1GMwHOC4rRhiGnj3u3+FK2F3a5fV1Q0s20dLhZIatELbNmVVnT9u2v8roQRSCvKqQirF7jMcop8s//W1PHWpzF202GBRxgTWJqW+x+Xglwk6qySioazGuDqlyDOibp91/yPM4jPWOvd5uDhili3ZCp9nf/nnxIkh9Mf4gSBZOizrY8IoxTJTjDF41kXKpkHoBcvUx1guWrtocYrtSJy6zzx/SmDbnM7A9mr6UcGq/zm84AiXVzmZfMD7B+/w+t4VSj1hkpzB6QOm+YRldsCG10U38JmX/wmz5QNsWTGPKw7LY5TTpSMrKvUBeaWw8s9S1jOC8DYH8ZSm2WORTOgFXX7p9f+Cjzz/8xTpgh97+Wf4yvf/MZ57gjBfYscLeHXlb6HwqPSMk2xGP3uRTrbOIv8eS/MhdvMy6Y2INHEwwT0MLzCbfp+O6nDz6Tc4PLzOxqUX+N79/5HN7T3uP7XYvfyE3kAQhj+OCt5mLdmlu7KLa4fMl8e8df0eG6t7+NYRBadsbM4xy88yK2/w82/86jM5K49P59csrRCm3XqnWUZZVkjZqgqW1QYLLW1h6grfd/EcG61kG4BXFiBaPjSctxZabaZJCKqqJX9oLaFpUFIihMSyHMqywo9c8rQiClw6kYdpaoxRGNGArKjr88KsRlOWUBQl4rxVVSsHrQRKCYq8QtAqtHmeU9UNeVkhzreNTd3y8L/3tf+DrGgzDLPJFNfRSC0ps4Kqrhn2fcIwJEkyAt9DK8FouMLp6VlLgdE+D5/sE0QWDx7so2TO+zfO+MQnX+Ts4DHvvn+f06MpP/7mLqA4mJZcGGiubK3w8HDKZs/l6GzK1shhuBaRJIbd1V6LE64bvvHnb5EWBUWRsbW2g1QNTV1RlDlaa1zX4ex0zNODOaurfYStufnBDT790/8A1xWs9PwfqSH6h6aT0qwkXs5ZLjJcrUnzCiV0G+KpMoo4o6hKwqhHEHRZGQyxLZc8z5HCIi1rpGWBUMRJRTyLWzC6aNt5hATH8zDCICpYC0Mi7RF4Gl9IfKFZCQcI6bTYNFuS1jmdTq/14y0LXEtRGVgUCftnx8RJSpoU9JwOeZ4zr6bsHx/z4PiAoiqwHYVoFIsk52w6Z57EZE3FSTEmNjGW5zDqdemoDqfHU4SfURQZlamosozJckIYhTSUJKIhlzVlAkq4XOzt4vkRo6DDQIc0aU6VZ8TxGYVpVxgmrdi7cJWXn3+Jly++ydbOi+wNX6Mykjg7RTCjbgzLLMany+x0TmMqbMvQ74aYVGOpLkdHJyihCEyHqhKMBhHz/IiO9Imnh9TzMX7bnUBeZ0wX82d6kISqmcQpaRyTpzl5XWLqut0kNOJvijEwFXWdg2nwfB8/8KirkrIuQUq0tiiKEgxEkYMw8Phwyv5JxixLKWooSpv11R5r/ZAsK8iNYbHIQCqUgNOzmCzJkcIQLxNGnZC6bsC0LOm8gvksZTpdUFFSVyV107Ay9LBlBQ04XoDUFcsiI4vnFNmM5SQmSUoC16Y2hqqpz71mEAQOedEgmhJHC4y2MSh6gz7T6Yw4KykbQxJnKGFT5Sm+ZWGJEj+MWnybdrG8DkZI6jxG1SU9L+LS7hadXkTTNJT5guW89ZIlSYK2NDob8+HB/DxcY/4/XZyqtMTSsHvpCkEYErg+QkosZVGXNRIJQrbeQwHNeQsZCOoGLClpMNA0YKBsGtpVhiZPM8osQ0uJEgJla6RqNw5Kt8qtUg5FVVIUJVlWtGi8pmZ8NqbMCmphyLM2KS6bCtEYTkr4yruPeP/eMUYLLNfFtX163W5b5iAE2rJpGtHiqiKXyPexHAdb2ziuJghC+v0eVVW0d58w+I6mLDKWk1Oc0GG42gMD3Y6HNg1lmlPGKW/fPODGSU1ZGzCaxWyOqTKMqSnq8ztZtq1mo/VtIsemzGuqvODr772LF0ZYttM2ohUVRZZy/e1v8vxLL7O2fgFluTiu16ryCKRjt9SCxrR0DloKXmPqthbcNOf4ymd7Vl5c/WnKZo7Q65iqZtDZZHflVU6mFUtrzL30j2isd1nr9pkuz7B0BLnP/vF9KlysbkZVTrHNCMdNMGVCUF4AGVHWEaX9mK7XZ5k9BmwaKcjNA4xMcIQhy1Kc6jIXgzGRJ1DKp+tdxPNtQn9It7OgEyQkqU1hfwXDCUdZjOOmpGUB9iE+gt3RDgt3BmWOoSK1z1Ay5mhyh0nxLmfZEZ3oCdKtWdebKDnDtQ0dfZVZFbOxFpA3HsYoDs8esbLiUzaPuP3oO/RcRWlijqc3WVtP0HbFRvcjzOv7vHX6ZfL8DEvtcEl9joNHMQ+c/52sc5vOasYKI4jusqyOsIo+/e4tivRdSv0ei9lD7tcz5sU9Tk7mKB5iixUGPUmVahaTiGHwE8x9ySTb5yh7mwt7Q4brHfxwh4E3QDunlEkN4ozAvfPMzompWy+xPB82LW0R+H6rxCrNMkuozptxfc9rGzwxbQmTVDSt8fO8qKXGGNNWUhuDbVlYtkIrAU2Nra3zZuof2DlsiqpEKwuoMQKSrMaYEq0blPKwbQeAqoSyrCjLCmMaXE9h2e2dXdfn8lIjyfMShKSs2r9D3TRUddVWkCvFfD7D9wKkEIxGq2ilqYqSThixt7dFEISUVY3nRYzHY5SSzOez9pHQGI6Ojxn2RkhRc+/uQ/wg5LWPXuUv/uJ7TCcLjo5nbO0M+PC9W1x/9wbL+YLjk4T96RJLCEZd8H2Hk8MpaVmTZiX9nsvGxpB79x7iuhLf9/A8l3gRc3g0I01yfN8njpc0pmFtbY2nT8fURcP4bEJtYpbzCXX1o1e28kOV6P/r9//ZNWk5CCVIiwItNUM/ZDxfcHl0gTDsUOQJeZayEQ5IyoTj6RHatqmFwbUl48mYyAuZLM+obcnzF58jrXMi36HrhtgGfL9DoSrGs5w4F/S7qyhtcF2Hp9MD3Nyj1+sz3FhBWzYv7b3A9vYu3dUVFIZ+FLI+WsOVBmEZimLM/uKEjrRwhSKOz8jzObKpSWYZJ8RoG2q7RIcBhZZMqzkdz2Yw6pEuGu4fH+J1PUydUUpIyox0mZDNDYNOxNULe1xaG/LC7lV2Vods9jqQpLiOYFElHIzvs0iX5MIQdoZUpmLSpKys7jKf7xMv5jR5yvHBPsvpCVm8wHEMFKBch6wxaHIw7Uu0yjKSIiFOU6o8x3YkZ+WY51ZeQNQSG0NWxlxeWWfoeih8HBSqDqgSQaAsfuGX/+Eze+G99/XfvXZ8NEV7AUpU5E3d8n1/4PE1JbZtU5UlTd1Q1xVKuyjLpshLTqcJjZE0SFSV00iH4ajHMs65++iYs/mSppFMpwmTvKY2Fpbrsbnq83B/hm1Z3Hh8xNE4ph+6aMvicLxASsUbl0bERUGaVSS5YZEXLHODaaDbCTicLEjykiytsEVGpR0eHsw4OVoghSJPYpR28QKB4yjitCI+PcMLPMqyRmufpq7xdElc2mgNaXxGURpsp0OVzljGCcs0R8sGz1aSSXGUAAAgAElEQVRIy8KxNMvaYhBa5OmM45MYUWQ4kY+lG7TjYXkene4Iz7FoygJTxJimIC9AUwINZZZycPMmDw9O2bt6GSnaQpN/q59nhbirzLVer8fmzi6+5+N4HkJITF3TIDAmB0OrviDQQp4PiO0HUghzrjzbNKZBCoNWsvVEN4bG1JzvVhEGpGWjpESdW0WkEGilcB0HBGR5RlkUaClbbnlZIaiRQrV2HyExUjFY3WbzwiV2Lr7I5oU9gk4HSykEEEQRggbb0vhhiO24uLaLcjVaCmylCHzvHGtV4zkugpzQVXhiydP33iXq9SmyJW/fPKRsKlYGXUZ7F9i/e5/3TjLusorthVy8sovdW+PwNMGNVtoCoMZAW9aG7zkERclbt29gBy6PTvb5whufwHZsbn94E1Mn9FfXGKys41oeYEBKjDFYtoXSmixPqesGZWuEFC1SUEqUZVEb066lpQRjuHBx55ndKW99+M1rR/kfE6g5ORMGUcZw8DnuHn2AdD5gMU+IywOScowWa6TZEXm6RMnLDLpX+Uj0q3xw9Mesr0c8OUuBCYILQEivE7BY1vjOQ8Kgj62vUBQhXjOg4+xQaY/AzXlxL+ekfESTWlxZ2+KD8busBXsof8nZoqbb6WKaARcPXufm7NOsdRri8jEXNiOSRDBd3ierJ9jBLmdncy5urfBkesbu9k/y1w/+msPpjNMx+IHGIeDOyXfpRkNW1p7n6ckRm2tfZBnfQ1jrBPYZDZK94ZTGaCL7VZw65bvf/hdEwRYnzR+iLcX9kwe89uIhi9nHKSxDVwd8WP4Bl167gZYheWlzvMiZZ7d4/yxldeN17jx4i5Ubn6XpGZYmYS66dJwF3eFd0thBhwWol3h0coNv3Ta8tv5pluJP2Vv/T3jv0e9Sy9tEJHR7RzR8hyTfJvQ1m6PPc+vgT/GqTb705q89G070LL3mWBZaKWoa0jTHstw2F2EgzVK09f/wmUGglTwvYJHn9o7zHNQ5as6Yltmc5wVpVtDUDbawcLSN67gIAVmeAg15WoFp6HV8mqrGdTSOZyHQFMWCumqgsVkuMzzfxvVsHNsghCbPqnZYbgye6zIZzxFKYkwbmBRSkWU5QimUbG1V3/nz30ZbgngxJ1ku0dLBtW2yLEFZgl4n4qtffZcg1DiWxdHhGVoqjo9Pqaoazw+QcslZ6rK1s4KnXX7rt/4QL3JJF0suX9nidLKgNIbQLTk5nrG51cP3I5amJjAuh2clmxf7TI5ifE+TpTE33rvOZLIgCATTacnKyoDjw6fkRc7m1nrb4ui4HBwcUJUNb7z5Ct/89nV2d7eQJuWzP/srJFXN5jD8kVKif+gQ/a++/FvX0jrFpm3gycgoyprSVEiRI4RNL3CJ/Ij6fAXRiXpEvSFa2aRpwtraNuPpERdWLpJnimQ6o2v7uKoFkGfLElE2hI7P81vb6CpFNAWeUfiuh2P5rG322e6vUiwzOrbD8elj8nhKkackywnrnsNkckQSzylzQZnWvHT5ZR4tDjhNZ1huTS1h1B9xYXObLM9xuxZba2ush9sIDB3pU9SirexVGXsXXsFWNZ7osREN6dshkePx8tXX0DT0wi6qKLAbg29qkiyj0QGLrCCybCqnRykUcQGBlOhSIU3NIAwpi4qqrgmVx6C3gmxydONTY6gZoJIYUWWgLZK6YLKcM2mWzLMJvrTwPYdynhF5XeJlhqNhEA3Y6V6griGvJHEybUHxMqVjK2pT8PN/99mVrbz9zd+7FvouRV5ikFRpgqgbpBYoAcJIjJBIJf6G51nTlmIgJOOTY6Ju1Pql6pwnx2NsJ2Dv4i754oxHBxOOJgvuH055vH/CPEmYLeaM5zlVWUHVMOp6XN7oo3TL3SyqikWc89zlbfZWB9w+GlPXgtBzWO0FvHhpBUtKTs/mHE2XmKZi2O9z/8mE4/Gch8dz0qSgaSQraxGP7h2QJy1zeFkrIlfhhR1wonOVU0B2SNF4uGGPIk9Yzs5YxCmL6ZSszLGlQvs+VZ7SaA+JIMdBOn3yvMR3FK4V4ihD1jhoUVHXBULZaC0R2uPPv/Uue3sX8P0Qx2pbN/OipGdLbr77HoPLLxHYAvNvU8zyjIZoQ3OtQdAYxXMvvMInPvUZXn7xZV5743WOTk4ps6L9GJoGbXtoS+G6Pj+QPYVWKCGpqwrbajdadVNRNg22lgglqcqaqiwRKJRqh2OlJJa2EULSqFYxrssSy26H7LppqKocQTswSi2xpEQpybA/ZGtrk53NLbwwwrEDgtAn8AK03RJALKWxtG4tJ1UbWHRsF61Vq0QZsGzdfoBlq7YLU7VYvGLM/p2HlEnFC5/5OKn2MaambjTrOyt87GMf5aOf+iSmf4WuKzgtfbJa0umvcTYe0+31kFJT1w1JknPx4iVu3fmAOCsRls1ffP8tfvYTn2F1Y4tOfxWp2lW05TigFGiJ9hyE1ijHwvIdtG2jbQepFbWpkNqiNhVKttQCpMG2bbZ2Np/ZnfL1x7927eH+Pl11FeFYGLnk8PAIJWFjIKC+hFcuWPP/Dm70mIKYprZYX68R4oTD8U1WViueHEwxeGwOL5KmT+lHBZH3Eb7/+B36kWRtdMr3H+5TkjKpE9Y6CX1/m/Xhqzw8/B5N43L9foyRp2z2t5jPc3zxE3jWC8xmEzbC+yT5p/j0R97gjz/833D9Co3L8WROFFnky5JOdMIrl36Rb3z3fUbbCa53n63tU5R5kZ968Z/iekOk6fPxFz9Nz+8Tz6c8nTzkjY1/yNtPfh0hz6hrG9vLqI1Fkhbcmd3ku/tf5vFJCOsjumqXg3iGbV/kr967R8/eotcX3Dr+Dk21iacWzJMls2SVKMz46KsWWbpFOZlTeDMs9T7X4yV33xYMug6fevMf8ORszHh5TMf5ObLlPbQ/w5Y50kmZTQ1HZ99hb/N1Qt9nmj5mOrHRDEjqKXWVUc8iTueHdLoxX3z1v30mZ+XJ8fSaUormnHMuRRs4rooWEefZNpYSYKq2yEm0g7MxhrwoME1rJZOyVbMdx0ECTV0jhcCzFb5r43kSyzZI1RI6bNsGDJ7t0uk4GApsRyKVoSha7no3snBciRTgBwqpSoRoleZkWVJUon2815CmSbvNUoqiLFGWRVm3FhVDawNZpjnXv/YvkdJhPitYzJckaUIQOLiOZrg6RBrByy+9hNaG46dP6fV6ZFmF67qMxzOQgkuvfIJ7Hz6gb8E737/N1saAV66s8s7NpxyM5/Rtiyu7q1DmjLo+b33wiMCpeXhvzIuX+yTFlIMnMxyr5OjgMct4ztOHYy4/v85sfErghUwnZ2xvDrl65SKLZMF0PGMw6OO6LkdHJ+RFyitvvsCTe/sErs9ffP0rfOmn/n36/R8tO8cPHaL/+W/9D9cKacizDCEFWQVaVnS0RzdaJckK0sKQVZJsCUVdYGuXZRKTFXMubj1PnsWMolWSfIkd2KysDjmYndLtBNQILG2QoUY4ivf29zmOYw4OzlhZ6XAcH3Pv7DFDKyBN5+RxjNQlNSUd5WNTk9U5Z5MpvuOijWG132NcL3k6PSN0O5zERzQzl0q2DX6yDtgb7dEVXUQMw/4qPWeAQrI53CFwO2TThCQf05cuXu3gIqnnMb7nkBtDXZQoJ2CWTimEpJKKWeGybGryIueMHFmD7xoCy+X45IBFM0Mal8LApFxQaUlWF6SnU4oiR3iSk8UUqylxHI3veUgpKVgwTxO2ByP2ehfY6QwJLIdhf5VFnhEnC4xU2NolXc7IiopcVUyKivnJHGHnTOOcj/7YT/KJn/jCMzucX/3937rWZBXxckmeZzRljWUJbMdGKo0RDUWWUzeGZDmnKArqckkjbJS2cRyNZXLSrODgZIapa+bTCX7UIU8yVnvt8NGGmxrWVzqshC6hLZkvM164vIGjJULbDEIH+7wgRdkWjrbodwM8GnZWPHqOIU4L0kazuzfELpfESQlCo30fmrJNdp83XAWBg29J8mUMdU1/1CV0bYrSYHk2pqgoqoy6WPJX7+yzvd5hMl7g+C7CFERRgEnbEJ3vSEyZ40QRZZrghV18W1BWFRsDD+1G1HaIJXMa6TKfHzCZZEjLIs8zVjo2RrjMxmeMZzN6oY/QNmk8Y77MaJqSJx/e5fJHXsX+weD5b6JKPzMlurmmlcAIRVFVKC3pD0dsbV/k8z/1Bb70C7/Apz/7eT756c/whZ/5WT7/xZ/lY5/+STa3L7C9ewlpDMv5vB3umpYtbVkOURRh2T5NU50r2S3Bw3MDhBTnpS2mLa4pW/Uny3OKsqDIckzTIESrLAvVDtBa20Rhh6vPXWVzbYWg02E4WsGyFUEYYimF7/t4ro1j22jXwvF8Op7b/t6x2w/teZOnVgqlIQgi7PMwqKShNwiJ4wXOaBMdrbL63Cv85jcf85yVMdpbx1/dYW3vFSZxztHpEqEdouEqCEkQBtiWg9YWjuPQ7fTw/ICR3+HP3vk2lrYxosEImzeeexVtWWB+EKIyWJbGc93zIaJtGVVSYTkOlmuDVliOTVkXOI7H4fEhnV4Hy7ZpjGH7GQ7Rv/mn//21sk7p9Jb49ibIlLUR+N4hB+MSLSYERjD5/imZF1CJExrtMEsbXtr6NB8c3KAqH+CFGlcsOZw9wJN9NofbBNFbmFwwTebYfsMgGjJQAf1wTKUusX98C0/v4Xe+Q895kdkk4eUr/yHJ3LBobuB7NhdWtnk6rcjVI7pbd1iWDba1QVbeY9D5PNsrCUfzI3avKt69CWtrH/D4MGOjZ7F/VnJx02HL+SWOj3K2eiGv7Px7fP36V2n0A87i9xF1w1H2Aevdz+O479LtFxSFopIxWAXJtKLbNXzp45/n4xt/j288+A2SIufvv/lPuXn8FWx7l6z5a0rzMpH3NQbdkFl8hVo+oawSItdi9rRLNLpEbT1COUM+tfUfMC3uM+r30KrH6aJhsrxN6HnMpsek6SnSNkznUKocI+fk9SEvj77AdHrMRv81AneXycxhu3uZeeZyNtmn43v89Ef+m2dyVg4nyTVbW/i+hy0lvuNia0UUBoS+h2/bBJ6N5zsEod8O0E0rU1uWhVKKqqr+5o/WGtsSaC1xnJZAo5Tg3ARC07QWsR+UtTiWwPU1ZVHTNJqiaAtcolC04tG5atRgENhI7PauNu2Wv7WNtFkOqSy07ZCkGWma0TTtnVU3NUiBdi3ufPcrVEWFka167toKW9asb2zgeA53bt+mF/rkWcxivERJhw9v3aHX7TGezAl7IX/19W8RWCWzpSFZLNjeXOfRwxOqpqCpLVJT8OQ0Zn9myJYpjyczHu7PkFXM4cmEZJZjREm1XDIcORgE3Z7D43uHrAz7LOZT/EDhex3CUKMcTTLPUVqRpglh2KWqGg4PDijSEuyG1z72eZxwj4t7q///GaJ/53f+2TVBQ8cNWFZZ+zKqJK7noxqNVgKhKtZXV8GUREGEknBh9yJdf4ArHcbzQw7Hx6z1VrEMpIsFXmOQlMzmU/ZWtsjKHB/NbHnKwPa4vDGiMvD0cMzZOGYxjykbQzcIKOqSvtNFmhqpbOZFgXJtbMvHCUNyUzBOznBcG0fARucKn/3oJymrhr7T4Xh+hJE1DpLAtjmZHfDg4D5pPePu09toKXG1S73IWGY5jsgJ7NY6MK8blO2gnS4NKStRH5NnaCN4PHvELBkTejaVKEmSDN/ZYn9yh4HrU+UVo1GPeXZGmjRMkymVKnF8Dyk0ouswGY8RiaTfj3B8hSk16/0hA69HVwQ4ImSxWKJqMHWJMIKTLD5f6ebMsgV1LZmLmGSZo/2SKjPURcKje3f5+7/ynz+zw/ntP/nta7ajcWyLOC5QtsaVgtrUqCZvW5eqkkWcEp+espjM8S2BUm1i2iiLuqjatboxaC1ZCTTdXp+npxP6kcbXCpRm0AkI3DYYsr2zQhh0WBmEDEZduj2Xuqxb3qa26UcO80VOCVzYiKgbQV43rA4c5tOE+VKQFillI/D8ECFsVgcdlDH0+z32drcIA588LQgDB2UaykqAHXHz1iOi0KVpKiwhWGY5O5tbFFWJFzjMphOKQtDp90iynMhzmKc5NAVpKrC9gDSZ0QgXP4hoyqT1dSuLJG84ffqQusw5PjpGFEvKPMe2CqKoj+s53HtwwGA4ZB4nSDsgdDTLeAqm4MGdY158/fl/85rwZzRE375149rDBw+4d/sW2SKmqWpsea4YC4Fju2xsbrK7d4mtzR3W1ta4tHuB115+hY9+9E12L15CeQGB7dHp9ekNVuhEXcIwoj8cMVpZZWVzm/lshuP5CCmwlcS2HdKyoDFNGw5Suh18bRvHdZBKo3VriYiCkF63x+rqGoPBkGG/z9XnXuLy1ecAwaDfx7as84cuNKYhDAIsy8VSEmU7Lc5aWgjahL5j21i2hdQuQgosrRDaoZYB0l0h2L6E6e2xtFb54NGC11+4SsdaMrz8EvS2eO/hgrVuwO7FPe48OsXzI1zPod/vE4Qh6pw1O5kco5ViZ2eXy6NV/vSbX8PSDrcPHvDJl98kOveKzmZTvn/9+1y5erVVpS0b5TitjUW1ipy0HPT5qttxA2zLJoq6SKlwz0kx6xvP7oP3rRu/d03Zkt2Vn+Ph07eYLGZsOP81ynwOPzzg3r05o92Ev77/f7P35jGWZfd93+ece+723n1r1autq6v37pnpnulZOMNlKIqkJFKyLFGRrMiOLMSKkDh/JbLsJIjjBAMogCPFgBMbSZDIiWMFkCU7YmiRNE1KFCVS5JAcztozvS9VXXu9fb37Ofnj1tBGkFAirEZE+H3+KzS60V196r7f+d3vMuKZZ19EZKtU/X1Org1IM5vc0YRxmzgzjMcZZ5Z+gMFMc9D7FlEiWFwaM4mqhCObKyf+HW53jlitPcdS4wjX7dKLbzHqJVTLJd7e7/Lkhau8ufNZ6v4F3rx1QKTuYuQmrmOoNyTX790girco+zVm4ypJeA+3mtDfh1pQ4v6e4bkrz/Py2zELTUF7L+TB5DUedL6EcgLu7n8FVMwkepuKSqgGLkfjnLXK+4h4BSWep9d7gOMawgjS1ICJMbzFQH+JwXTIbLxNZBYpB9sgv0GWX6BWbtEdPyQ1Y+K4S1Bq4LuG3381ploLWNx4k3Nr7yFpT6jkz/Pa9BXe+/QHqQd1DpI9auUyFXWCrfHbLDQiDnuGihdgW8tYaUySSDLVxfVPM8mus32ocdQELznNULxFvTHmwXDKz7zwNx/JWRlO85dcuzDZaq0RlsBShdzIsgRapwhBkceMwVUK15FFrJ2BLCk+L979GYUcy1gkmWY4iYhTgbAUvd6YOM6KkqgowmhFPJ1S8sqMxyEIRZYb8jzDU4WR2bIlWkOqJVkuSRJBGGaF3M4YJBYI6PS6YKnCf6Bz0IYwKTw3aZIyns4YT0NuvvIZuns7RcNrFBFPYxYWG1SqVcazMY1Kpdi8K5s01QyHIQjN8soiaZ7h+jVu39jhicsX6R6N6Hf6XHxine2dbXYe9LlwaYHzp1vcvnnEykINMRtz8ewCrXKFU+sNHGMzGk9oLtSxRYbl5Vy71+P8iTq3bjzkuWeuEEcxjm3h2D4HB2NQNm+/vkWj6uL5VaaTCQvNOmkWo9OU8xfOk+WaJO3x/Ef/bVZb1e+pIVoY8//tDvnzP/mMUa7NmYUlRklClExJE81abQVKFoPhqHBz21D3y+RakwpBu7dFpVqhKhqE8QijoVkJGE5mSOXSPzhEBBaH0zGPtTZwXZc8TdgdHCK0Yb2xxO7RIY1mg9v9PVRuc6JexcWlVq3SjQ5Y9pcwQhFjaLaaeDJglE6Ikj5Pnf8g48GYrcP7uH5A4Lg8PNjlztEtZklIzVLUZY1BHrPmtrD0iBEwtRJkbtGqNBkOxuz1Bzxz5TnSKKVUUpTiEdMshlxxFA2plSvEcYbnC2zPRRtBmk7JpxmLrSX2dg+RTl68mhGCWZxRVopRnBBFKaIsqTkloihiFM/o7oScaDXwmy5ZLFB5RrXZJByPqTolonSG61Xo9ya0ZzNaNYvDTsxjj1/icG+T5mqTeKRxnJRJKtjd3WJt5ST5cIRrW/zD33n1kQUK//p/83PG5DbYDuP+gEmYUg0cLKORdlFfmmmrMEvFU4ajCFWqsLRcxXMESe4zHM1IMo1II+IkJk5y/IVl7m8d8o3X3mZ1qUqc5Tx3cZ3AVUjbITcCspzNwx7NRpnVpUXqVcXedoeabbAqHjou3NHlmsfN2z3OnqogtSha7CzJqNshTlL6E8OVq2foHo1ZXF4mnE1JkwhfSWrL6yTRlM7eDqPxDFWqkkwHBL7PJIXlpQaO7xMO+vQGE1IsFpfXMOkUv1Kl3emg44i6ypglGcPc59SJRaqBxzSCSqOJEobeaIRnFw9zk+dk8ZB+e4ARGUGzxWq9Sr+3TSorCCR3NtuUy2WWF5uUfB/llRGWIIpiLn/4J7j61AkcIb6zg/j/DbH0SM7K11/+irGVTbvXYTKZsLp8luWVNdI8LeKchIUlLKSSRFGE5zrFB6Moop4wBqWKKvQsiQmnUzKTE4Uh0rKJooje0QHhbIZQisl4hF8q4dgOQghms0nRVGbb9DsdkIrMaGzLZtA9Ik8Na2tr+EGZUrVKUCpT9X3KZQ/X9pCWhbGsQt/nOEXTny6i9yyriMhK0hRlyUJHLIt2SyyDLW2MTkmiCCg+SEulEkoqMq2PZSeKXBe6b8+2kZYENLMwRWcplmNjUGgdI4whzzSDfh+/7KKkg5Dq241nli35u//L3+dLb7+GsCSOrfgH/9XfxXNshDEgi7IaSxZ6caOLSEEAZHH1StMYW7mAIE6LLPgkKeQqyra5dPH0I3um/I3ffMFslH6Y7cnn2O++iWXX+fEn/jZH489zGFp4lc9QtjNsfpxJfJG3b38a149Zaj1kdXWZ0fAZ0vyfY1kf5WvXXuYn3veXCPVvcNhL0DJAZWNsr4XvrVFVu9TrVbY6J2hW3qC9rbH8i9w9+hZVo1DVOk31UWI+Sa4v0xkcElsjKk5Ed7DC4fCAlarg/MnTlPx77B4tEzgV6tX7vPyOw9NXHAa7JZqnu6z7v8Lvv/438Cs1mks9PAnbvRZBOsL2H2eSz/C5w4Pbho/8oOSdmz4L9Rn7R0usrS/SPrpJ2T5HN9rClRmVkmDvPrz3RcHd7QzPtllZ+Itsdv4PTlevcLudslQ94PHTGb/yW4IPXy2x3jpia8vBCSrMxn3OL/+naGLanXco1Ue4lQH73S2q7kdxRYJMznJr75MsNV5gkLxJGlWpVsvs9PZ4cm1MJASj8QJ+RbC3M2G12SfKS1RsTTUNMaUP87d+6jOP5Ky8eb9tHFuB1ji2RBxXeBcxc+bYuJfje+6xgVshyBAU2v5cU/h3MMSpwbYspCWJ0owkKbw84/GIUqlCkiZIaQh8G9eysJRACEgzyPMi177kW5Sc4uc2NxnaSJJckKaGcJbiex6uJ0mSjCw1hRfo+LL6bi6+aymiNEdrweFBG2krHMfjC7/z39G5e4tcj4gnEdGsSDeLohmrK4usry4zGQ4RAu7c3uL0mQ2UbdHrDej1RyRxUjQJjiYsNCuMRzmvfvMNLj+1RpwIJtMZpC7DyZAnHz/JoDfl2maHD1w5y8ODPdCKN3e6XD29TBpHxGHOxA44WUkplcokcUYQCCAnjmOE5TDsQE9PObd+lnptxp2bu5SCgNXlJqPBmDRLCWoVLOWwcukC/+3f++3voeKDP6ZsxbVLREx40DskykLCJGfZr9ENe1hTSZpHzNIULVK8yiqDfIbjSWpOHTd3ud/dwUfguRZvbrWpLtgkqabilJjlAhFadGcjnMRlwQ9Yqy0QmwRLwdJCA89SPLu8gRQS5fgYW7M9HtAsrVGutxgOumjj8GBzB6NykDZKSb7+6pcYzUaE6QiTpVRLVTrjIdokLKgqjcU1Hty8wSyfUVl2SUSOdKtYkUW5VmFz1EZKiRdItvbeYjkoMZkJYtcjSXICW7FSq1FyfWInZS/sQjKiYnx818FrtRiEEzInx84lxgiO0glGg28FrNYDZG7TSWY4gFeqENoT+odT1hwbN/BxPZvM9jnst5Gp5qjTodKooMYxpcDjpOfilQJu3txkq32TwCvx8N4+j124xJs3voHjOZSFjev6OM0qs+nkkR6k9iCh5Bjy45v7LExAWiwsljAZRVWzUfh+lYopU/J7DIcJSRgj8FGupBz4iFlKLAR5HGPlEcPugJLvgCWZRimTScw3bu7w/c9eYmWhgk5zZnHK+5dOM+qPEUmCay9wZl0yHI4RicQvO4Uea6lGq+nyyrV9jBQ8eWaZRjOgVA5w7ZCt9pB40GexWUPInEZzgdFoRL3mEMUdHCvg1Kmz3Lq9xYm1Gu22ze5Rm6V6iUa9xKDTpdaq01xaYDKLmQ76qNoCpVKVUyccHty7S2wkuaqwVnOJE8M01ri+x2AwwK80aVYb9MZTLCsnFxIvqKE7XUa9AfVqmaFeRjUeQ6YJ8WzEidUGd3d7jKYhl06fxBYS5XjYJmf37deoNWtcXA/+FLPv/vV4z/PvRxtBkmt6gxmj8YjcsgtzYZowHQ/JsxRfWQjbJrcMruuRafHteClyjTQCRzmomsN0OkUYqNfqJHnO+skNTJ4VnoA8w5DjOB6z8RipFOpYB611zjSM8Bz724kZIOn22gR+uTAjSYk8jkc0UOiwc42QojA/Hr+mNUaidYbr+dhGY4zGFlbxQYLBOtZhRuGs0LZLlzSe4XoOWVpsxt+Vk9iWhc5yojjCttXxcG2w7FJhlspTstQQhSNareViwy1kkawBYDSOq8iQ/Md/9RfZ/K//Otfu3Ec5Dr/wy3+N//2X/z6upYrLSBpjLLdoY5PmWPKSQG6KDGplf/vs2Mf/dt/zyfOMNHt0LXQAjy1/jFfefofMucVwonhio8pO/hIzq00/WuLjVz/By3W7GuUAACAASURBVNc+jZPbrC9JTpy9w+7eWZryryBmAXvt/5OmC7n9dcIU7nV+E7BBJ9S8Ze50hqTZlNMNycQbc9ib4LhN2ulTZHabg8M3OL/eIowMN7dz3ml/krOnX+Dy2vN849Z/z/MXbZK0zkIjpBE8QaOWstE64s5hnVx2kG4DMpePPP9THPW/zvZ0m0aaMfX/Mfd24LFTOb0di4UFw/nmx9na/w0m02ssNNbI+oqT5zOSGOAiR923qJU7lPSH+egL22weHdF520I4gn4kGOLx+ptDLj8l2d2Dre7LBD68fPsui43zdAcneGfzFj/54o8yDT9PiuSNw4Sr8gl8D+4Nfo2NxffiOGXc0j0e3DGUG3XyFGTpNfLZFKEm+GHOMLFxnR6zMTy2EVEOpgz2zyIZUFIdNhYDfP/9HB29gcOQvvcYWbz76A6KZZGkGZ7rkGQ5QmpMWrRpuo4DVpEpHyYZSv5Lr4hSAqMz5PGbMKM10mgEhYRCZwkl1yNHU6kE5LnBsaFeLSPzHGVDbvLjQpaizbDs2dhKY0R+nOIh0aYwCmIUlmXQOkXr41bELEVgyJIEpWyy44bCTr+P55U5PGzjuh4YgSRm2O8RxQn1esDgaMpsFtFsNCl5xRuucrkMecZoGNFqrRIEFe7du4ttO5zcOIsrNTsHh0X0rAq4fus673nfeRaaZ0j0lC987lXe+9wS8XbKwkqV6XTG9z27we98+RZZntKqVbiwsUypLBklhlYzwMxGuKJOv98lTzWO08BWPp7nIyzJzB5xwvf5g9dushK4XD65hF0tMewPKVXq2EnM6tIyudE8vHbn0Z2TR8R33ETDv15aljHmT6VN7V/9c979+35PtbT92eGRfdP+2l/+AVMPyizWXbI0JpxGhEmOU6pgC4njFsOAW63iOCVMNiONpoS9HlGSYyrLNJp1knBEe5ggdYwvIc0tjmYJX3/1JkuLZSqew93tLouLAXXfZn25xcpCmXJgo6QhnOVUqiUmIYSTKZNEs7RYRZgUI3K2NvcJHBtJSr1io+3C3DcaxjzoZSwvlji96iFzCOpV2ocjUg151KXWWsMJFpmG0KqWiNOIuzce0J6GtJZqrCzUMeEQXVokDQdYJkZn0Fg5T5qOODzc5w+/dZcnz6zRrJeKLGmZIjS4rsKptlhuVhiF4PkeN28/4OzZs2RRh9vX7+D4JWypWDnzOI4rSeOQ6XCfz33lJhfPnEIpyfkza1hugI1BSIV0Svz0v//zeIrvTtrxiDbRcZa9+3nDJIqZTuJiA6OLTai0ikSOWRyjbEWcpCghsS2BzlPyTJMkEdsP7iBtxckTJzFCYXseGgspwAiKjfXxVldrjdY5Js8hz8iMLooYHAtpRDFAK4s0SXA9F4wh5zhO7zhWSsritaxlySJZxlKAIY5TlF18iAshCt1jXugtpV246cMownUdhMlxlCqi6eKYIPCLwdlAllPEylE84/LjNkWtNdoUcVxJYtjbu0+9WqNWXyLLiizcHIFreyRpgpKglEWaGVKdo4635r/6P/wKv/fyy4X3oNnif/0vf5XA89EmQ1iyiBY0xca/6IIsvtZa47ju8fb5uKHQGCSS3MClxzYe2TPll3/9Eyau3KdR/kmMuctu75Pc2q/wIy+G3H7zQwR2SiLbVBob3LzT5eLZ2wT2VVLOoimz3LjDQed3abYsjnYt+mmNjQWH0eRpJtkus8Eii5UhSyff4KidggdeKhina9y5bShXx7z4XMg0LrFo59zZi3n64gVu793lzbuax07nZHmFKPEYp2OqLtTKLg3fMItiGgsLhMkIHT+Nq15gq//bpPohq3VDewD79xxSS+EEDmfWzhFnt2gfTVherIBYImXCYu2Q7V1Flme0e4ZnHzvD3ug+jpGc3hBkWtDr/xCBF3Jj8x2Wm12sfIFxeI6gnFJdvMtokLN1qFiqR3zw3N+h0fD42t3/nNnMZWmxSrdvo+x3UFJzb7/CWu2jhMnvUnYbjGcjTi9r9ncVgT1DBs9z0H/ILBoRZoazKx/CZPsc9O9y5pzL8sKMa7cnTAZL5EhaNQtb9TFexq/++fEjOSvfuntoZtMp1UqFOM2KgVWA57qkSYrO4+JnWAgqlTK2bSGFgzYpWucITGEmtAwCjas8wmgGCLIkQ1o2aaYLf4/IUTJBGhttZSAUaZwjpcH3HWxyhBHkSh5HtUqS1IBQRJFGSkOpZGNZktksIokzfN8jSlIsaTOdzsjznHGc49k+7c4hJzfW2d89oNvd5ou/8w+YHh3i2prdzUMqFYeSX+Zg/5DLV06js5h4GnP71ibrJ1YZDQeUy+Uiq1mVmXTa5Cpg3B/jBZql5gKWpzjYOeTOgwkXztVpVTxuPhyy1+7xvstn+NadPc54Bm/BJagtc/etTcr1EtVKif50iK3KjMYJH/vw0zzcvs94lBLGE1aWV+h2egiRcXp1hXfaXQ7vT/joD65ztDPj4GhIjuDShdNFZ0dDUC2t8Pd+4w++p4a776iJBr7jL/5x/GkNuv/qn1PEXH1PfY//LPHItEbXv/q5lzxHYls5nucibUXJdbFMRhjFCHkc5ysltuOAstFComyBclxMkqI8uzBYRCnjMGY0jWktN3GMIM8SMgy+V+LcSo1cKmrVKs3AYzqeMhiFuG4VrxKQZikVH+JU0u90ihjEmoUEBkd9jsYRYSYYzyRGOiAV4Swjy0NEnuN5kjzPGY0jgmaTkpqihUtn74jtnUPKnsE4NkmiWVltsrmzx4mlBr5XuL37wwnVap3D3gTb8nFdsJwKzVrArRv3EUpgMs1iXTHJNcl0RqV+XMxhL1AqeYzClMVmE200xgoI1JgozIiinFk4xVcpXqmBSce0+1MOegOqrkQ6AWVXYtk+0pKYPCb2Fzm50ijKA/7EQ/Sj0UTnWf4SxmAJg0SAsZBCHjvkBZaQxFmK73pYQFByEUbQ63bpddqUyw5+uUJr9SSNhSW8UhnLdpGWhbQsFDAedZkOusThFJMnCJMhpMC1HexSuRiITYbreCAkSRoXJiEpEMLCddxisBQSBFiiSPMQ1rEoRoiicEFKbKdoTxQUzyXPdrDejc3SORqD5/qkyQxLKMLZBMd28FwfKYr8aikVlgV5nsPxwqBIDwDbtginEUeHB1QrFRYXlqhUF7BU8f8oLYWy7W9nhJdKPkIIpG0jMAhj0Drnuefey7/1sR8ljidsP7jPJ3/3s5w7dYFaECCFdbyNs49bPIvbtlASaQRSWt9uGVNKkWUZCIEUmoXFxiN7prx673MvRdE6585scm9fs7l3xPuvVCG/wuaDLovrd1DOPpXmHna0QaQe4Po7BO4+reqYhdrHePmtLzM5koTRh1htLTOc7XLyxDq23mGlcZXdvbuUvZBJmBQXGQeu3QyJdU4iNBVPY3suw+mQeg1m4VlK1V1m4ya2ZXPx/JTpLKBVVySpYPdgQpRFrC8+znC2wkJji3BS4/XbX6XaGFAvOzTLLk+tvZdhCF6lRKv2BF/66re4euED/NHN+6yvJux3+xBrfKfCnY7H0UFORo7tCI52LhLHXWRumI7BczNWl9+mWW1gq1W6s4eFyW/1DLNpxsP9HlpqXDvmtz7/e0R9j/ahi1Nvgznkzv1dXO8Cg2FGhVUeP/mjrC8+y87RP2c2NQieQosZkZgQJSG7gxkLC1UmowHPnV3nMH4HWwjut3uo/ntwnacpS4XwB3QPMzqpQUc+n3jmrz+Ss3LrYeclhCwiMo+lX0jIco3jFKZfqRwyzXGBimI8GX9bemU7CgtBHmdgFFme4tguYRhjKZs8j4vox6TYWhtTZNA7jn/sfXLxXAk6p9g86+IiT3HJkbIwWziWQVqKOEqw7EIT7VplorgY/C0pCaMY1/dASqaTKWEcEo5HCKnY373O4f23mIxH2FZO2Q+QIqdWK3P/wSEf/L5nyZKIoLLE0snTPNjaZG1xkUazxmya0O21qZSrCHIev/o0J9ZOcP7cBq+/cpOgVuPKk5dYrLcQlqTeqPHC0xcoV6p8+IPPsrK6wfraSa7fPOSx51ap1tZJ3BKr9TJL62vc2+qwstbEdl0e7u0j8xLLK6sErWXW1pdwS1WWKwFxuUq353D5qfMkScg4BKk08WTC+bMX2d7a5ad//tFEIT4qHukQPefPHI/scH7987/xElJgbB+37GErq9CLCrCUhW0pLOVgOQ7CVmRpgslClLKxbIXtOShlI62iynjQm5BmGf3RDM+RSEsynCWYrNjglaRhNpmytFBmaaGGznLCKMT3LYSIybQgKAnSzMKxDcotI6RNf9ADNONZSpym+LbFmbMLKCWJZhGTOGfZN0jpMBxERNMZ5WqNcqlENVC4JqHetNna7OG4CiyLiutCPMBYDp7nkMcp9cDgOy5aeTTLCk9leF6Ny+fXuH9/m3rZJ4kzyo6HLXJubc/YOxgShzOESPG8Cq6lSNMZykQ41RVM2EO7Fc6fXsVIh1mUYITk3Mk697baKM9FZDGLrSp5nqOUQ4YiPNqhfPoSda+IZPoTXUIfVe23MS8JYY6H1uJmlRiDa9tIVeQVe46L1jl7u9uMR0Mc18MNylTrDYTlkWMKjbMlsR270FEf5zwLS+GVK1humUZzEeUWQ7bjlohNRh6HJNGMZDZmMuwzG49wHBvPVjh+qciFJj+OTxYIcRybpwWOXSR82McbYktKdF40BipVvBLOjSFKChe6sCxsqTDS4Kgipcb3S/9SL21J8lyjddFqVgzNCktJwnDG4d4eaRpTqzUolcpIS+E6PkiKbGhAyOPLg1UUFeksJc/z4qokjuMksXBtG9/1eebp9/LjH/9xPvri93Ht1pt89it/yCyKmYQhJcfDt91icKBoHdVS4CiFkBIjKC4rCKQlyLFYXHh0Fb2/f/13X3rh6kd59e7/xN5DTb2+y4nVk3Q6O9ilHJm/h154m6Cckehtpv0yjneVcuUO4HB771NUXMUH39/i/u4DysF16rWTdPZrbO6/xeLiCFSdWeTRG3VQjmLvoES1ElMvGxaCJdYap7DEGdJ4B78MC+UWvXGfw7tPcurCJkc7iygTMUpKWGqFputzat1mEtV5eHiNjTVJ96DD2wcpgWUj9OM06x/gRufT+N6Eazci/PKAjz7zCfamd0jSJmuLXTaWYBTXCGo94vB5PHfG6dUIxw758Q/+AkfTP2JxAfwSpHrMZttQdc/Rad9kFlepldcQTPBLR6QaJpGipHIWlySq9EOF/PJgk6A2I7J8KlJzdAgXlp9ja/c6D2afJElSsjxHqF3qtZA4y8lMzDQOse0qwoyQziaKk1xc+4vcPrpJrebRCJrc7X4ZMotePGRlUSLiMj/27C8+GrPydvslgDiOMcf3XG0MWhuGg+Ln2whRXMxlkRKVZhn1akC1GhRvhyikH1Iaigh0jed65HmObRdJNMXXaXHBNEULaalUPFM1GiEMlmWRZhlSFOlBUhy3sApBmkMY52gjyDODMC6GiFLZYTKOcD2X4XBMqgX7R0ekSY7neSzUa2xt3ePmjW8xOdphZ3ePPNZYUlOvlxDSJgg8mgs24TjjS195nYO9XR47v8FsOqVcLqOUYLnVYjwLUb7H2fOnMSbhK390nWeeO0s0HiOEz8HuPp1RzJUr5xkO++g85/rtLd7eGTLVMQ/29rh5vY/DlKDl0mwuce/6NUbtkI3zG0yGR5TKAS984Hm27u+wv7XLuUuXufbGa6wutyhJgefDF1++gZ3OCBxNPBOEecxsNmQyGfOX/8P/ZD5Ez/kzyyM7nF/79D9+KU4SwtEYy3MpYu8FlvKRlosTBMctZxlG2kipULYiTzNGgxm9cVxoUI9blZI4Jk5TmpUSO0dDzp6s0rAUbz/cZxrmXNxYZLXhce9hm8E0xShBNSihkxS37JHEEtdOcB3DYXuKQVLyJLcedGmUPJSSxBksNj0G/ZCjXszqYoAjJK4HvUhSLVtUGwG+5yOFWxjNqk3iZIxWVUwWk4cdhrOc3iQlcA29ww7K9qjU6kxzn3wyYmpsqpUmSidMjcPK2jK7+0c8fmmN2aQoAqi6hmkc45mI3cMJrVYNy6lQCVxyXLI8597DA3zXQdhukUEscizbJxoc0loIuH6/je/bmDBGWxZBUEZqQ5YnHN57wMblq3jqT/iG6BEN0WmWv/TuplWI4u2EqwqH+ngcsvPwHraS2G5R4+2Xi1ZDtEYeF5d4rkOa5VjCKmrD7WNn3PGHlTEC17ZQtkJKWcS5GY3vOFiyaA8sVxdw/DLlSo1SuUqOhdYZWTQjikPi2YhwPGI2HpIlIa6SoOSxmcghy1OiNENKiaMssqz4cM3jBNctcsqNMcVlMiv02bZVZEjrPAd0sdEFLGkfGydT+v0e7fYRQbmEVypTrzWRjoM5LogQkuPfX8h1jC7azrIsKfKpZfG9FMeDryUlqdYkaUamNUZrPMfFtm0ev3CZ9z77AidWV/B9h29ee5X/7dP/hH/65X/BF1/5Gq/fuclBp4sQFiXPw/VsJBJh2wgDtmPTqD+6YoRXD3/upf/5t76A70qevrLA0V6XUdKmPxxxOIT7uwOePXOZN+7tMAoNl89ewBpf5syJ9zPIevSOjhhOHfLRZYaR5NzKL9HkCb5y79OcWlLs9484Xd8gswISs8Xf+pGb/MSzv8itW9d55vRHuHjuIxyOfpOGfwlSSZj3ubnT44kzmjFdOt0Ax+3RGc+I0pDBtE+l3GI4GnN24d/j7ubv0htohmPBQvUEehzTjTfZWLnNcJzy+nWJFaQcdGdcqln0Jm9zvpnRixIs12UwGbLzUKDkEY+fex95dsTysk06ekBuPc10NqI7lbgy4cQihNMKUi0QBGO2jwRLjQNOLuVgEtIxaFWiGVzAVjFPnm7yyr2v8qGNv8kLy59gLCaI9BIvXv0x7nY+zZ3tMo6SeHJGo3EFKzvF/m4XKQ2NoMEp/4cx6ohMVLDTD7M/eYvTyxG9UZ3+4G2UCliwmxxOeix4ikyO+LGn/4tHclYetscvWZaFbdu4jovWhjxPSaKQsudQXCWLwbgS+Ph+0aZnYYoaQYo0qFznZGlSxGEKjk2EVrFJxpBlEZYEzy0iWYWALM/Q3357pEgzDcJC66L9KEk1WgviOMUYQaYL82GeJhiTUau7xGGMQRXGRCTj6RStC6NiOJ0wm2aUSyWSWY/b177BeDKj7JVwXclsOmHQnVCuOLQWN8iyEadOnWBvexOTGfqjIc2lOpPZhO3tPtpSnDq7QKu1SPtgSOB7xLOMOIbmksepU6e4fuMe/c42S62Vwqth+tTcCiYxTPtTrp6vs7C8Qi40O1t9HruwhlNx6XYmnD9/CiFsth7uUKsFPPHkBa7f2CbTEWEI6xstOr0Q24Z7BwMuX1wnCCQ3Hgw5f7qFUoq/8Ff+o++pIfo7GgvnzPmT0lhrMRlMyPOkWM15JVwBeZZjNMTRFO1WsCybZDrAcUtYXhltYpSEQbuPZXvYjksWjbAsQxLNcJsVHFtyZ3fKk6drnDhocmevS2c45mTT58Riie3elPF4RB5FtFaWyDNDFo0xnsN0MGMyi3HtmLGIWK75JLmmGUhagaLbnbAziKgtLOIPIyyp2W/HzGZjeq7L1VpAlqdMozGbd2I2Ti7jUmZvr8OZtQq5dkiiCYsVn8XlRUq+w1434fBwRBjHKKeEiyROpuRuA1uMMY6iVqlxcDgki3Pcsma/l9AsB3RHM3wrYvvhQ568Uoe0MLEpJ8Avlem1O/iewrcyclWj5DpEfo24v8doNOTN/oDp2TXef2KNdn/M6lKdOJZMhx0++09/h5/52R8rGg0fnTz+O2JJcaxRhiTLODjoMJ0OObG6Sr1Woly+hMlycgNOUEJrQ5amWLYFCGZRjJ1LLFUkYQggTo6HUctCG4OjrGONtSmKf9KkqO01FkpJTJaClVOp1MjzDHFc+6vsMnhF0UkShViOi6D4e+ZIXBRhmiGTFJ3F5GlEmmssaaFcD8crYduKaZigLBvPEhhpMMLB5Cm5ASVthDBkWYzrFo2BSZJycLDN6uoJltfWMbqQU2iKpkbyDOl4hTxHF6keGlloqaUCnSGNfVwyIVG2JM01CEmmUyxLUvbKGJ0jhEJjUCogSVOkUjjKpuxX+MEPLfMjP/AjJEnCa7fe4HNf/iJfuflNvnr7VYxdlCPLVFJ2A861TvLYqVOcOfWJR3ZWJonHxz5yAWvy/ex0fo1T5zfY7e+RYbHcmGLL8+yOvwoaqoGEfJVrgz9E7NlMporlVkqLDSzrm6yrq/jxPten/yPvu3KFFW+TsvgA33j4JkF1CUes8sqNX2O8f8j3PfvTvLP5GfbFZ8HW3N38PU7Xf4KbB/ucWDC8dm3M6uIS/tIThNEmd3t7LFtTWgseFXuR1vITlJ0ez129TGd8H52c4Stvj7m+O+BHnlIc9kOSVFCp5WycUqw2BV98+W2eWIJv3hqz0CxxcyehVhN0J/DzL/4cw+1z3O9/kd19wXuffMCSf4obo6cJVMKlU3fpbq5y2pwgzCa83j/i0voiQhyitU1qDFG8gatmjCZvsVS/zbduf41UG+6Nd2mHf0js/hHLi3+Br9/6TSJxn/c9tsRXrydcXbmMrV32ej3KzToN9SQLiz69URvf/SB+usm2+GckY8n+ZMaTJx7n/tZtwtkKQfMUWuzw2n2XxWb4yM5JFEVUq1XCMMSSkka9jhQ5vuPg2DZpGnEc4kQURah3c9ClhTQW5njIRgps2yXLBLZrjtN2DFmaY7sK28kKX4DOiuSPLEMYSWY0OodcZ0VEngGEBSLHSIPI1bE+O0SK4hK80KpjWfFxzbhDEk1RrksYhti2x2gSFeVQymE8HqKjEGXnjIcjtNaUyx6eC+3RiEEnZXm1Qrv3kJJV5lOf+gM+9IEreI4iE4bhoMfRUY/hOOTSxmXiqeHzn/kjXCWJowFBEFCqlXlwq0252sP14cTqSTYfPGBppcWw57LQzHBcwSgLmdpVol4HYUke3t/k6uMfYHP7iMD1uP7WXZZaDUxo2GofYskQkY9YXGyy+2ATy82RecT5kx53b+Z86vdv8Et/9ePc3+mSJDELC81Hdk4eFfNN9L9ZPLIb3pvf+P2XPE8db5/t4wFAYemIcNRjMk7J4gjQkCRk8ajQkLllHNfFISFKMvIkLrZ6mcb3PWYJDGch20ddKp7PqeUa/f6EwSzFSEWz5vP6nQN6kxmNwEEaTVCpcLS9h+356Fwzm4yoBiUmiWJ5qYYloRyU6IwzqvUSdd+h0+3hSqiWbMaRYb1VxbcERlnsHEwJKlU6B7uQTDDhtNg8WxnDac6D/T6DWODbgmgS0u4OGUxi1tbXcOyIg502dsnHVhahcXlw4xr3t/c5ffoktsrwPJ9qrY7l2qzUBTu9mNEso9nwmaY2WTwiiUaUghr1WgmiGEROqhWxKbSsWZygMEyihG57RBROiOOUTrdHs1EnFwLSiPNPPYtn/wlG6Ee0iR5Pwpc2H+4ShjOqFZ+FRp3W4kIRN2hyLMtGKhtLOThWoS9USqFkkVzhKIVtK3KtsZVDkqdIYWEfu+uVVbxGzXNd6B+1QFkKYVIkFFFyjgMC4tkM23GQlsSyFFmWIw1IJQsZBwJhwPddLGFhWQJJEZ9lOQ6O7SFsD891sSxFmueEYUiSRETRhMmwRzwZMxn0sIVBHFeY9/s9gqDKZDolz1OqtTr1xnKRw5/kxGlyrHV2EALiNMbznMIEZRWti5nWSCHRGNKsMEZpbXB9t9B8C9CmeOugjksh3s1/1kaTpTnOt0tlBOq49MGzC532+vIJPvz8B/lz7/8QTb/E7u5BMSzYEJqMo6jLjf17/OxHf/SRPVP+zqf+0UuPnz5HwBF/8PpbbJxQzMZP8sLjl/HFk/R2Rwi/j1+Chm7h+VtM8zbnViYEzSGz/fdzd/sWxqR8a6vLYxf3iaIBSWphsoRX3r5LexoRJX2EM2Sn/5Cxe59+GLIdfY2dhweUAggjxVLlLyG0h8UWJ9Ze5OLSJ9g++AKdoxmnllZwKxeplK+y1f0G96+/TureZ7H2IrNxkzhr8OwTE+73hyzXLyBEh+2u4fF1weX63+aNVxvcP+wxGGpaq+9lfekUJ+sVBkcZXi3jretDvNI7DEYHPPbYGkl0jjgZ80s/8Nv88JVf4OE7bb7Z+RSdbx7yzNkf5ER8il1glNzD93LaHcnJ830OjhzKdYljCYyYUSv5nF0/R2r+BZ5zmaPZ60SRojPYpVaVlMUTlN0hRqScW73KldM/w05vi5t3tihVXgHTQPnLJLN3aC3kVPIXGXS7jM0B56p/Ds9fZ2PpcfxszE435uc//Ghe04exfKnkuZQ9l0rZw1UgjUbnGVrn6FxjtEEbjeMU/gmjc7Q26GMjstECZYEQBq2zQqaVZZR8D2VJ8iym7CuUKJ4B2kgykyOt4m0XwkKb4rIu3k360Qajix5irROEEbjKouQrbJWjc4HRFuNpyCyMydD4XsA4mtHv9QHNaDKm7Hjcu32dK0+c5Quf/RTt9oDzl84TzWaIPKPbGbJx9gwiz2guN/n6K9dRMmF3p8vB4QCd5DhKsnHmLJWyz87DHXxLUi5ZKNtjNBnTOxhy6tQGu7v3aVSrTMYDhFViNO7z8GGf9ZNF18GgM2XWG9FqBeg8YzTKeLj1kES6TIZDHru0SpQktFoVMCGe6+B5Hkk8xfJ88ixnMIwwacrK4gILCxa3Hkx44T1nuX2rz8mVJT7+0//ufBM95988ZpMhpXKxLYvDGXkGsQCn7GApG4uMKJogpCFYqFFSihTIswyEoVKrkPSGoDWu7zKMYwZhSE4JIxUrjYBG3cXKIr7/PWf5v770DkHJo1myePrkAtf2e9zbG3LaCGq1kAtnG3z9nS5nTgTUq2X2xgmnF20qFRtDmZ2jKeVaC9fSLCxZVKolkthgexIvPhC6owAAIABJREFU99iNFOc31nD0mGHSYzayyCmGjYkWeL5HrVmhf9Cl5Ah0POFoP8eTMVFkiGYjXntjRtXL2e2mJCZlfXWFcDKltrjKWpJz6+4WqyuLnKh6PNyL0OmASZKw0lqmGlj0dw+p1PtkdgOdDUipkScJJ8+cZTCcEI0H5EnOUtXj5PknkKqQNzTrHlvtCC9LyXXGeDYhCKr4luTBwy5PXWghvuvg6D8dfM/h/NnTx9uaYtA1xqCsIlNZG0kYpzhKooTEUpI0ywjjHGFJTG5I0gzf9YniCN8tIfK0GCwNoOPi9asR5FmO7XskcZF1LIREvpt2IWxKgUueZ+gMtMmwpSj0ixRSo3frgIvGwRiTm2ODrFW8+s3zQt8sACPwPA/HcUnSCBBYphjabcshTSNKpTI6y+gc7tM7esj6ybMMBz2GB/uU6osE9Sa246KcIls6TSMkAs92SYv2FoSOyTKNaxcXVcdIHNfD6BzXtcmyFKMFCNDFvvq45tsmyzK00UWxjWthCUMYRxgp8ZSNsqxiky3yYosvLcjhxWc/wPuffj9Ize+9/CU+9c0vF2ZK+WgP0cbaEe3xFp0DqNUUiku0mtfYb19lpbzKMxe+wGoj4VZbMzVVHmyOmSaCzlILVx1xt/cWJbXIJB4giXBLA+JEsLI44XDfZvnEGqrrUK/fJom+n9aJEVKfYevon9HtZVQDw9bDgO+78GHe2vqHmPIDZJRRTxy+dfsLjGa7bPUN7Hb48NX/jDxr4+ZlypcgVS6HuwHX9r4GlstiY8TPfuDjfP3tVzi7eJZv7myx5jT58oPPUKld4bz3POPhHT5y5QLt+HPcuHHA5SfrdIcNvPUZUXSPE6cEC85/QCI/Q3/8Ov/omz9FqbnHwfA+g7Eimnr0W8/Sa3+du+0vcXa1yb2DENfO2d2ExRMJJlzna69t0QoaPHXOMJn9Ovvtk9iqQnfapt3bZ6nmo6dP0PSf5e7R53jhTJ2XX32TZx/bIO7v0armxLMNyrW7lNUP8c5+hiXLnF48jzID7g5eZxD9AZXoDII2o9lD1lb6j+ycRPEMT3hYliRJNJbrIITBGF1skxWQa5Q8vnzKYxOiEIUUI8uxLVUUI1kK31VoEoyRCBFhpMGzHYQuTMgIjSMtHEcSZoX5N0kzym5AlsVIlaHzog3UqCLeTmiIM41jK4SELDVkWbHlFjg4jkHLokFxNptRLpcZ9PtMopBaUOXK05f5wuf/CUInVAO/SM1xHFxZIahM6PV6LFZK5EnKe559kqWGzRvfvEdrvUajWuKo/RDIydOMkuOSZhrbU7R7R5RLHtJItjZvc2pjg+FwwuLqAuNpRhKXKFcG2Mri7o0t1pZ9tu7OkFKjhM/KUplw7LHXGXB22eftN+9w9uIqw0GOlJIwjMjyjGqtyoP7bU4uVQhHMWsLdTr9Dl6YYxjx6jdGLC8t8Mqrrz+yc/Ko+OMi7ubMmTNnzpw5c+bMmfP/4P+nfdScOXPmzJkzZ86cOd+7zIfoOXPmzJkzZ86cOXO+S+ZD9Jw5c+bMmTNnzpw53yXzIXrOnDlz5syZM2fOnO+S+RA9Z86cOXPmzJkzZ853yXyInjNnzpw5c+bMmTPnu2Q+RM+ZM2fOnDlz5syZ810yH6LnzJkzZ86c/5u99w/S67zqPD/qd16pS71tdbWmoy4pvRIdq+TVWOWgtUfElWDiCnhjHLLJeJINSSUEZsIGQliGMExgZyAhMPzcDBA2kIUNBALDjyWbIRsmm5QzJl6Dx9mAyx5VXLaFjGytVI20LWvV1VLX294/zvPlfO+j+/YPR2+DMvdUdb39vvfe5z73ec5zfnzPec7tqKOOOtokdUZ0Rx111FFHHXXUUUcdbZI6I7qjjjrqqKOOOuqoo442SZ0R3VFHHXXUUUcdddRRR5ukzojuqKOOOuqoo4466qijTVJnRHfUUUcdddRRRx111NEmqTOiO+qoo4466qijjjrqaJPUGdEdddRRRx111FFHHXW0SeqM6I466qijjjrqqKOOOtokdUZ0Rx111FFHHXXUUUcdbZI6I7qjjjrqqKOOOuqoo442SZ0R3VFHHXXUUUcdddRRR5ukzojuqKOOOuqoo4466qijTVJnRHfUUUcdddRRRx111NEmqTOiO+qoo4466qijjjrqaJPUGdEdddRRRx111FFHHXW0SeqM6I466qijjjrqqKOOOtokdUZ0Rx111FFHHXXUUUcdbZI6I7qjjjrqqKOOOuqoo442SZ0R3VFHHXXUUUcdddRRR5ukzojuqKOOOuqoo4466qijTVJnRHfUUUcdddRRRx111NEmqTOiO+qoo4466qijjjrqaJPUGdEdddRRRx111FFHHXW0Sfp7ax2c2rbt+VVgHFgGBnasVz4H1TV9YKUcr4/R8nvbd28Hu7/u1wdWyyflvHHg0pB7jZdP9atf2psCFsv37cAu4IJds2zXjZdPXduz+7SNQc/6P2zc9Bz19T4mPcLTqc8bNr5t1+v/S88/v23IJV8xTWzb9vwwnmgjn9P6t/rZJoAr5X/NoWhg3/cAZ6vfRPUY9lrO07Hx8vsV2ufHyefH76G51b2xY/Wcig/990lgBngC2AvMA38K7ASWSN5Xeyvl2ingfPlf/Ne2xnQfrTN9jppXbti27Xkfd/fifbxWiWddJsbioh339QlXy5xJO7adHKN+aWeGGO9lgreWS3uQfFbzissjza/u5+PnPOxz5M+n33rALeU5LwDHq+fBxkD90DyPl+cUv08Cc+W5Fsrx1fI8Lov61pZI47VIU6b6eepvvRZGLVMkd9UH9amtP+JrlxGS1+vppZo2et6we/v6q6l+ph6xvk8Ta/1U6W+f4IvJcu408LQdg5jjSzR5pk3/+PH1nnHY+A6jYTq9/n1UvDKxbdvza93Xf99JjMMKsV7GgBPknE0QMsL1/KD61Nj3CVns8l+ySuM/TsoUaOqAtnu06YrN8GHbPPsYDPut1oMTBF/5OnIbyvWXzpHsq5HZWjeu17dRypRR0JpItJhuBym4x7laOfggSqHo2KQdo7TXRmpTHZJClwE8KMd65bdaWC7TVBC1EeUKWELmYvltgjSgJ0u7MqDF7Lr/ij2TqFd9qv/96hwfl5rZnVn9uxi3zRAfRj6pm1mAXynVfZQxqvF2koCpf4Psv473iTnydsUTfu+zBH/NEPM5SVPh6Pq6L/UY+fd6gbQZIav2mxu1eoZedY4MnJnyp7HQvWqDdgF4vDzTkh2X8SfDqkcYQrtoGmxtJEGoz3H7fZSk+ZAs2V1+HyfGQmMzTjwrwA3lU+MzX9qYKd8lB2p+206M0U5Ckek5r9g1l0h+cqfOZQ2sPS7OX65kdJ3mYidhJO20ti+W5zxp4yIarz7V7r7y25Q9s8Zvilgrk3YN5btkr4zuHQSvvAn4bjvXDYUxUmZuNfk60nxM2PFhjuEEKWs32u/eGv8PO+Y0Vv3vvFNf2ybnVuz7NPEcWut7y+/ngRvJcXF9Ask/DjCpL/4nagMb/PdhOmeY/NwMiHItSTJlzP6v5bTkjdsB50h+2UXOl+SEP6dkzX5ybiWfNN7bacrdPiFftpdrJklDvdZf6uMqOfb1/K5F6qtkZz3nY9W59fhonWsMBcho3FaqZ3M5O1b+ZCdSnlEyWPJuWJ/haj19PdGaRvRy+VsiF64G0x94YOfXkyNDdaX6XjO6Jkhei865RCJGQujc4xYz+kQNaDeypsr/S/Z7r7R/3q650c7V8+pvF4mOeT+dMbcTqKgE3YS1pQWyUl2jvqivNfmCaFuATm3G+ajJhYQWoRTDdlKY+8Jzh6Zn10qQqF3N725iQe+068bt71C55wIxfyvAQWtHJN6bqPolB3E3Mcfqh4wSCQUZvFP2rHqeSWsTgn+nyPnSuZBG8DI5Z/LWLxGIFKXNAbl2tM7kCO4iDQf1cZomP/Wq775eZHzr2ChJ4yqD9SLR95Xyv9aWxhLgDDGG4hEZnjIytL6ulOsukE6Ixm279eEiOQ9a/33S+XBE3NvxdbedXMOr5PxN0zSOHEyQPNM8+v86fwfNOZCzpPbFc3qOOwjFvljGySNrQsaEvun/qXLt5dLOAvDnpJGtcyVzZVxstXE0Zp/SC3KG3FhyI6GOFEpX1TprLfJ5btMjTr6uxDf1nEmu+Dp1MKVPRqIWCP49RMzHODGvh4k5eYbgkT4xf1rb4lvJsd2E8a2xER87bzqi6s/iYIA/XxsYAk254r9tNb9IVw9ozrfkiFBSyZYpwnkdAw5YG3Kunc/OlWvOl2MC+DSO0kmSuzo+Q/DsfGnfnUDXc5Tz2iK09bjrvtJbNV9rnn2+IfWlnITa+dF9tO41XmN2jdtcutc4MEvT0HYHVveq7SU/pzbSryfaUE60e71uANTknne9gNxDgVQ8Y3a+L/gaaZaClIDcbt/Vnntg0FzcPTvXDRlnhhXSmJDgrdEMKehLpJCUEvYwrqef6J4+Pm5oTtnvdbqCqM0xqM/z565Rh1GTI29ahC68t1fne193kYIP2pW22rlCzJErLIXLni7fZwkDdFA+fUwlXNR+7XiNE4psmpijWRKthFBg4r8V+1N/6rQj5ztI4aT7nSIcLo/uqC0ZTOr/BCmsRTKkZRDqmhnaF7ee9zI5dnUYeNQk5aT0K60XrcuLNPlG8yUnaZE0qMRXA8JwcDRXn95GrTjGqvOkcCWfHCDw665U3/UcPlf6DWK8L5CAhPp3qTyP0KklOyZ5Ipkio1j9mQUetvtfKM9w0frn8meJHL95Mo3kE8AXaPKxRwJXyHFui8SMitQHObsaW7+35IzLE/EG5POP27nr0Xqomf8/DPCAprEgI1fpNYokyNiTA9kn5MFxch2sEjJpPxmNEp+It/sEbyyRTrKnI9aGlqd6tKXItVGbPhz27FtpQGtsZSC6MSZ5Iloh+Em2wjTpVPq8zZCRLK1nOfripT005cAlwsjeS3M8lWp1kJgX59c2Y9P76iS+wc5zOeXOnNtD7oT6cekTSH3mEdHZMg6u2yZI2aZ7SparH9KJOia5UxvJAmb1/1Y7XdeKtj3//PNDD95Qco089WBYrpcbwJvxTOs8WEcmPaXCGcE//T71fWsjum7LjV3lBa62XKM+1XlsnkOFnbuRftV92AgTuZKuDUC/3ucCOzbKXCPxirxVR/D0mxvWPtYiCYjaAakFvM+Hvm8nBdokmSuo8RK66SiV/+9GrEJ1A0L4XSxtKU9XeXDOE9izOdrghqLOnaCZv+9KSc+heyk/T0aWxk1OrXL5F4gwvxuh6rMMRVcUeg4X4hLSi4w2f7HN2Xb0ZpVwVraXvsyQ0aKatI4k/Jeq4474ab48P8/Xq5/n60dGSL0XQutfuYPetvijXpt1Xny97t0pmCv3FfolB2kKeAS4GXiMMASWyzidKm3sKO1IlgrpnCb4QMrzPKm8Pb/Tx0LP6oCFxmMr91l4LrH6Bznumou1cjA9dWKYAndjpk3eQlN++7nql7ftKUQQ8zdNpJ9doclD3h89s0h5vGeIsd9NzOsKGVkSAl7rh5rPfV2sVt/rZ2nj2TYQTX2v7yEaFa9MWU60+NKNRkdgZQSLDxRtl84QSq01I5JxqD0UaluGNoQc9u/iAxmSkyR/Sv5rfj1q4WCffpPsVmR3L4Gi69qenQ/Jm84Dnv6n+ZwmZIB0zRRpd80Tzr/SXmqg0x0wz4duQ5TbbBMfH+fBr6qcaJ0goVN7rfWnK4B6AfkgtnmyrmSgaXx4OM6Fk/qkNgc0hYejjrpGqIA/ywRNBMj716Zk/Xi9mbE2oEWeu1ij3215lz3787ClUJmaaoSgztMdNekeV4gxcQ/dQ+RLNIWMp0Joofu81oqrVqpu9Oym6VGLZ9y5q4WW913XOY+dJhWcL/7tNMdbSlwKZgfpuUOmhChkX8+VjLBla1sG9HaaBpSeW8p5oVz/XOmvkGlsfGoUQwaT5+G5UzkqEqKj/mwnQ9yeFnGZVHji7TnyuYToaKxqpBmazoGj0W1IY32d5y0qXIv9prGT0qiRUPGRyxwdmyR5wVNCIHhjxp5PBpfWzVly45nG8PbS30WSv26waxZLO0oV8ZSOGmmn3Ffn6HuN7rWN4bWm2jAQUqvfhHj5d0iDsk2GaP7q9S/+d1msv9qAFklOiY+933X/fY2tEHMoR8cdbw+Ze5vjhOF0muY6HudqmdbWX/Gq68g2faN29F3jq7XkqVg1aa226f9Rk8bKDVDpnQFNNHqSAhTQ3J8wTa5zTwXxKJQi4iLpL8nrc6Qjo3WueVko53k0YoXhY6VrPUI7A7yM4B/JDc3bKk0+0+87yAimO0uub309KPLkES2teaXX1uBRLT/Hqu81f/lnm7N7PdGaRnRt7MlDazNMa5SvJg2iT1iNLIgciawnVwaljA1nIL9HfT40DRfKeXvtmFDAeses+iLl0tbnul2RM6u358zuglPk/7sC8zSSOqxfX7uWArjW5CGpCXJulDKwSFOAT9j/9SaONsTEnR8ZWzWCL+N9liaKIC95kXSWlKNao6LaiCals5M0zFfJzYDq5y5ys492yY8RYfJdpFF0kQzZqg8yrH1NqA+1p67flkmkWmtAYy0lNk5z/IVK69lEGs8xu8ewjb/XitS/K6SQ1o52XytXSIV1npw/Dy064qvnFHmqlOcBOijg5M7WJULhQTpF5+075d5LhLE/SVO5rpDI0zRNg3l7OeZ7Q+S87SaiCUIXVwi0yRF4VW0R776YrN4yRe4BeI7kbRkCu8t5B8rfDBnSldzUeGkcdpBrWDLLkbRRks9RLR8GXG08ixRhcXKjsG5P99KYu1xtU+7uFKk/blh61HbYWPUIR0cRp3maSLLaXiI30p6nuddBm5JdT0omurMJGZ3Stc7vbgTVqR1ybjeSr9qWfrAVJONWOly/ycHQ/oDLBN8vEGtCMlJ6aZHcJyCEWrrJCyToPhoX7Xk5ABwleWiRcHrUllJxPGUC67PSkCQHL5NGd59Yi+NkFR8HzlyXSU9cIu2FJZoptLUcVVseQT5L8JxSP15s93M9UcterQ85GBqPGuTsVf9fr7SmEe0ICVwtnGqvvU1w+Y00uBDCoM0rdg/KBZ/OdcNZwsk9XxcourY2Jh1JUf6T7qH26/Av1vde9b2+vwtYN46gWe5GDKZyW0618e4oncg3ctb9qxl21KRxEo/IaVC/XIGpb66UB9UfXO381Pyl8VslDVQZHu48qW++6a+ejzoSovCeGztCNC4S/CuE8ElSWMuwHSfzjuuNrBI6V+yYjDyfdwnug2T6hTsg7sGPEQJPKMsZUjD6uDkiI/6QYVcLw1GQO5N7iWc5bceUazhDjtVeEpmWYJ4gx1+bzerNkjIe5fxLkeg8ndOWhuPOss6tx1JU51z2St9WCIWtDWDjpV0poFUSrdpb+ioka6Jc67myytNfst9eA7yHmO+jBEK1j+Rj8cpkae8ZYn38GaEkV8hw7kq5B6U/qzRLBOr5YOvkip5DMtjlmss7R/Q88uTXuK6pFd9qdW0N4NT3dsdXaF6tB2W8+fWQxpA7AufJlA8hlZJfjxNzBTG/yqE/Zfd3YKpOVXFq0xdO9Zi57l0PYa6PbRW6KFlYgy8yQGUnXCHW13YC5FB6R4/mZl+BLTNkuhM0163kmMAAOaNPk7aNjHiBLjOkE+TzC01dVusm8brkyXmack57iiQb9bvbMMtVW06+nmrDXP9rE7QilzKsdY7rTxnQbkv5/g63lfT5VYtEQzs6qsGojTido8lrGxidf4GrmV7XCBkbr773Se8KmveohUXbMYXldWw7wfQyOLQoanIj/zxNr6rNc3fh2NaWqBZ0bV6ZK4ja+IdcHHWaiK7dKgZ1waBUAVHf/jytYz8p5PScvvPYIxs1Yu3CXqT0DQk5GbYDu/Y2ElWDrPogQwsyLKc+e0k0efgLhPGn+7sT5OhBm8ASedk+SBTxZnLT0QRh9MgYVMhxQAhP8ZuMw8vk5g8ZUE5uRIg/xPOejzcq8nUpvlYodbr8f4EwGsRPF2mWlfRarHqOfVyt8KXohOxKiTkadMH65cawR7Z0z912bi0v6nUp497TfgakI7SfqyMQcmIUJbmt9HlvOT4HHCF5YRH4NPB+Qo59sbR9jnBEpPT9Gc6QaU8zwNeWdufKPc+WZ1fo2dGpOpVt1FSvnT65TpXu0rffB2SJv3GasgSaMmOYs6g5cGPG08bcAB9U1+k3GV0etocmmrlIRhhWgGdJRFLOn5zGFXKteyqHHDDxo1BHT3HyjfIOKnk0s83huJ5Ic6Vom/jGn1G/yaEVKOE6eJmogjJOjLecyyuEnFA0BzLiqvm9SNPpdfBEyPczJCoNqaO0Tr3il55L/OjGq55Vek5RBnemNN/iA326HJXh7PzgkRClDyoaJVRa5y1bGx7RFegn+espNuqDdO5WAn2jog2lcyhHsEZHfYCGGbMiN0J0vhvO+vRF7gath6yx8+u++nf1xQ3NMZq5dRqA2fLpu9/9OduETu0s+GKtjeu6L+7x+fNj99T/NQqk/x050/PpGYY5MaOiXTQNiRrZqVN3JOCloIQUa9xqRaU58N998eoa/eb50J5HfIJmWojIDTpIISCkti0NwvPmBjTD7NAM40ro6pqe/S6+ljN3geZmVReUT5OIs8ZK95fhpnQIF5q+dnxMJZjbhOwoyKMDSs/oE898lFx3KiXZI/OCNfdC+LQRZkCgcnUEyNepr2VohjSdr3z9O63QnBPdx/dXeFty1JT/Pk6WmFsmFKuMvZvJ9I87yJfvHCr3PEi+ROcU8YKWVcKJmwLuJ2Wbo2v7SGRZRvJeMu3oHIFyan1o7YiHxGNC0zyHc1305RqRDGWXd5IpcpBlQPRopo1B6pA6mtUmm/W/nq12IrDvLsvqth3Zcx6s176MbBn/6qucRiGYciR7wD3lU46gjDDXz476iWSgSwaIV9zJa5vTemzqdteiNlBolOT6pwZhJJ8FiKg8psZB43KGmDe9M8LXhWSD5In2GFwiK6MoZWOO1Dnaz6JjSiGFLGvnNaY9wg0pT7QWNGdq3/WgAydaF+INjYkb1e4c689LAZ8hI1S+DiTH5Aion5BrSDaB+Es8WG/+1nXjXJ+0bjoHZH6cIxuuwMW0QkM9zObIhRt1jgh7Rxz616B7To1vSmtbnL7Q2wxrIT0K1UsgqpbsBZI5ZYwq7CoSMzta4d6cn6e+tpHCHno2GVQyBtRfCWVHmyGNNO0Y1nmOqG0VycNXGF4GiwxHVRfwxQ45zjKmdpJeti9s50XND6XNPVy9uWecMFRUDkq5yCpfB2nIO895jpjuJ76TA7aLQCR8XlYJNKk2WvXSl9pp0py/mGa6zgSRz9onNozpeSX052xcV0hh5nyv9pSzq3XoIb3aAaOM3+WW368l6Xmgibj1gc+RMka5xhDG4mmyz+dIBbHA1ZsLoWmwaOzOkmvDoyWufMV7Iq0rKUuXOc6HzqOaB9WdVrqWKzH9v4dUuC8vY6D5/pI9/xRZn/Zkud88+Za7XeXcY2Te59cSaPZry3VaD4dJpbgEPErzLXmQKW4q76g0Jsj1uhWkdSH+lfEMzRQtyUaV14Sry265rG77XyQ5vlr978fcGayvX6Up8yU/pCM8RUBG+TTh9Dgwo7xd6dpLRFUWtX2WWAtKodtFRqlqg139kHMt/eroZZ2+BKmf6kjLRmirQJxxAgRTdEJIs+vLHjHukpkaJzcuVwm5vpOQy3N2/Q6atfinCBklEEKVN1Q5Y5FMf1Cq1PlynfZbCNVWdF1y2+dOslryXHMrZ9fnGhIglHErmYY9r5NHQx348/TbVTICL9Ka9L1NDlhoY+KgardXtYE986hTCUdF6yLRPqE1EiPUwwVVnVYwbGBcgfnAOprk6SK1YVgLP1eijnLLmJFxCk1h4dfLUHJvVcJMfZFgdWSijZwpaoXT9rw6X8xbIyYe+hXJw/RXYkMabVtJMg60cJQm4WjtImkYDQghJMcF0hmQJyzjtE4PuVT9L2TS+UXCX/MpdFbniS+kpLDrpJSFfur4dgIVXCGUl3hQhvkK+XY9CGNGoXEZYdDked9UKjRRRv9xki/3lnucITcqKmdP51wh00DGq7ZrZNXXsq/nUW8Yc4dbfZBCUzqJ5/BJWMvBUoqLO2S6RjzvkQjsHPGQz6nLId+s6LJE1zvpHPG4eMFzap2vhSZ6CHgZuAl4gJzLSYK3XkUYBipfd4rgPb0kRUik0obOA28kjPAz5djthJE+Sbw+Xmj0KRu7HYQxLrkm5btKGtAOXEixjjpiAU0Z5opWRpIQQ5+7FTL87ORK3Nt1EGPYvQc0ZbLGx6MRtZEgBxrriyInyoneTa6BZ8hyjiJFpm4kqyucJnlW6QuuZ+u36GkNCPX2cDwk2lqT7wOq0y43G4UYtS5Sip0cLNkqSqfySJt4xaNyLgtOlt9OkBUw+sRaPE2sTekQyRStv5eSekD7ZvaUY3L4lO4hh6YtGiojWbpoYP8rQipbxCNhtR0mXSqwU8+oMdB3bYyGdNaw4+IdGdrqk4MXviHS+6Sxr1MFaxl8vRrQsE6d6LpOp6jNe9dvUsYr9luN2tbkBmcbSuC/yfOpEQAPNdb9q41lZ1afPIVkvE3dS+dKcbX1l+paMaQ/v5+vPitsqsUtg6JtExh2vfpUe5eOrDaQ6xHWX9y9bdvz9TxrwblzJYN3idzgJUNYQmmWzBe8YtfX4wnNUJwLmGUif/Qc+TZKhcTdWJWR4vMpgbKbrJEpIbCnHFO+XI9QfnM0675KUOq5HLnyeqEanykSVVberIyYvp2reZVgEtohlLR2ZjVOrkRqfpZRcplQ8OcZHa/stpqu0HQAla/sPOtlMz2s7UpJzyRHTXPlqLw+a8fb51ZI5hVrcz2ZJd6r7y/FdYnkda33SwRCrGdeIJT3HBGu3wf8EOE4PV1+n3ldAAAgAElEQVT6MFfOvQP4VLmnUkB2EWkZml/lyi6U65STqbES7zxBbohaInh9tpw/SxhxnjsqVE1pOAO2pva8yMPG7lwJyIGrkdf1yHWM2q6NRj/X0cJaH2h+3SjXd3f09ea7cbuub+cuc7VO3Fu+e8RA9aWXycpS28mon2qDD2jqR8ixnCWdKo+01Lr8WtAoa89Dgl2OLvv6dz3ieh1ivM6QER+NrafNybhUqs0z5fM5QnYKcV4hokCK6n2ZnC/ITXrzxLp1Z98N1bbfFIEU34vkyEuvyVjWvEIzoukyb7v9L5mo+tFuA0k/yYlcrn5zEMI/64gANPW0xlR6+KuqTrSjK77xqi0sUKPWQgH13VMb/No2mF9CpWYuGTiOjPj9hwlNPUPtDbmBIe/V0SovJ6d2ZPzoGYch0R4K1bVqV6S+yGtW+zKo9UxaENN2bT3+3sflNY6PinS/PeSz7qKZS+l9upEQIjfTrKKg8PdOEpXxeROaUjOu0D7frHCRDOG5gnNaoam8KO1vJw1o9c+RDCHpQgRPWV/HyNJ4Sv9wxEMeukj3lpGjOdSry2ujF7LOrztSQhsmqvP7NCMA6gOk4BJCMuowvcZQpd8UqhS67rJlhVwX+0kZIBRSz+3GVB2WFNVypj5eIzS10Nf/9XVSEMo1vr2cs4OsoiClIxnZI5Cup4CfBN5FGNVny/n3kxuV+kSu+Fj5/nvA2wlU7Oby22MkT0lRLhHIGMTYvp5Yb5fK5wrpMGjcpRghDAp/Pjf0PF93lFSDJCp7KJ6dIUPq0NQzm0U/XVfVkUDxmMtwR+TUPwcNJEN8XUpWKCIhWbSTZrUqtaV2Fe1aAF5Jzt0eMjKjNCg5gDKI3cnz55GO0AZqOf/+7C6znIatob9NqnW7z5/bHpKlvscC0hBsS1mS4bpKRINUkGA/ucZ3kqU4rxB8+WVCL+wFXkLM34q1VUfL3Jj1sqp6Ln9GpX/INvPncJBNsgfyJUvuoI2TOrpH7jOQIe72lusvByGlkz0fW/woO0rnunx1cMl11PVG66ZzSCnVKQxtQso9qBoBqydgwo45QjSgKdDrhSoD1tHuXvX/wP6vFbLu4Z/QLI+l+0s5y3itlagz+DDSQmjrp4fRZKxp85HGS+HfAbnT2j3p+jn8+FaSwlun7TcZslPEfO0v5xwgFukJslbqfkK5S1lLGPk8auE6gqgFrLyyPSRvaeOH+GGK3EAqj9xfrevkyIUMhx5NQbiTyGO9g+SFObIyhjZXuFEn1Nfnx0vWScHuIREEX39aEzKgtYaOkq9zlnH6RhL9UoUK5XJTfdY8NiqSolgg50xoZ72hxtOnTpAKzsfC14CnQslp1qu8V+yYC3ufhzqErXx2R3mw7zJW1O8D1fNofe+hKa8mibzkGcIo+nnC+H4r8CA5B0rZOUEobaGLc+RbC/UiFUjnU2N00v5fLGOxUPp7wp5V46K3lumZIcPBageyHNtWkObHQ9/6PE+TVzzy4oZeDca0te+pfp7rXuszyQo3uhXWdpkxXfq8i5QFkje+12dA7iPRPT2qJANkrrT1LppVZiQrtX7c6YEm8OJGv+Sj1pQAqs1Q7Wj+bRrVLsMdxNOa8zSqS4SekqEqwAtyXjWPqum+i0xfFcK/XJ0nHTEF/AU5pgtEat4MWT5PqSOq8y+e0vV9+xN5qptsCj3Pin1K7kHysubmpjIWSnlaIpB0aEawIWWvUgO1/me4eu530Kx+5nWp1XeNbV26DxLsuh5p3fQmR65qYeokT8LRHEiFVOddObJYUy0IXTnqz/swVp3r/fZ2aoTKDbIlO1fM6R6cI8N+n2HUZqh4iEzP4MclDD1UqXCdP6sLwvp+bX3YCuEmBaZ5EbqiYz0iTL2TCCPLGNXzyHBQOaGLhKEh4xzSWNBY6vdd5dg8WZt5nNxh7Z63UGIpm10057XmS3niEspa+K8q/x8vxw+XtoQgavOIch91b2jWhpZBLL7YX43lgCxt5/3SM86VvgkR0RvN5ISIxMvql/oi73+rBJg7shK0bpS4odSrfnfel0MqPnDe0xw5aokd85Ckp7mIPP/wIk0DSg6uHENdd5rg65vIMKjmQM+5m0Cl7iAQwMuEgX2CUKifIByfcYIPjpV73Fr6+AQxX0+TaUoQMuKOcuxJGycZWeKxG4EPEEi3eGpvOe8CwUvQRLyOk+vDa+62vYL9WtOwaIHIUS13pmrHyK+pZWKbDJVB1gZOuLHubSilwo0r5WxDM+XkCungQ4yljNlZMprl+cg7iTn7HmKt106l5NOS/ebzOLDzxO9KBZMhqWfUc7XlSm8EoKmjfaPWP677te61bj0KqH6rDKJAjjEy6ieS3FXbHlXoEWtH+ekniHGeJuZ1jnCKlZoouTFOVhpyA9LlGjSjkjKqxXNyxtRHtw1kt7hD5sCb+NSj4+PkWvb5dkPXwVHJCOd1Pcu4XeP2kXisXlMCO9xovx5p3ZzoYceuFdpZh2EcSd5o+5vty3rnD+vDet83Q46sanFoLFaqc6AZOhl2T8+7rX8fda7RxLZtz3suMCQi7Lney+X3Q+XYnxKC7EI5rg1j2ri3THi+CzRzXX3s/H9ozp1/anwUthvYb56zjvXb58eFwJQ9l/OvUE9/SYsMmTqSQPV92NzWRsCweb6WNCpeUZ5rPZ51DqioNnp8fHxNeI5fm/FVG9LDzqv75N97JFpb8423XfdbaOMigVYvkojyaSJ3/2bgo9bONKlIlWut/FW16ci0ztH6UjrRHMmf9xOOphxYrw8ug0pj6s6wcrodtdTzjVqm+P3a1slXqiek8NuM5mFt0HL/Yf2oQ+fYd0dKHUFWdEPtKbVAmwCVxvEX5bcLNA0rv3aGJhAxQc5j/dwvRPe2Pe+wsRxlTnStEyDH0o16GXt6U+p2InVprWf2cdE68D0nWqtK6YBYq9IFCzR1nKdDuHHbNhdOLnPgajml3/y7xqHN4F5LbrXJ43q/gJ/fti5870L9bH5uTV9VOdFO7qW0eZY1wtuzPz9ee6n1xNbn1DnUfm7bxPWGnO/UJkj9T/dUGKO+TufUY9LW1/r5J6pjYlShXn6uK/q2saw/Xfmtla89ChLCIYZS3dMBgarNlN/uKeco7WMa+FZiLLX5SaiNkGdHXKD55ijPCdtPGA0HgZeR6PQxIt0BmrVvJ0q/VCZL0RS9MU/nDIj8UiG/h8h6rcfINwr2iNzW1xEI395yvuZW86TNifLqbymf8zTJkRCVZVIt4e2EQXaMQMVvK59HiJzZt5d2hWAfKZ/iCfGh51hvBQkpdPTZ5YX4tt5Y4whavc7maCInjuw40tGz47qv74EQYuTRCw+xel/hasN8kowkKA1sknwttxDmGWL+ThPpQG8G3l3uISdyhuBZpR85UjZNzPcrS7v3EIbABMEbEOjYNFGq6wxRxm4vodDF67eT1VyEdmlj5x6aIWVHXuFqOTcK0nxpLjWu68lvd5jXita1zWN9rF/9Xx93ZLD+FELndXrVDyGdGl/xr1KxdpKpNKt2znPES3WepZnCoLUhfjlAvuGyT/KPyiRi1/rz+TPUOqf+rY0c8d0KHnHqkS8R0trWOpbBLF0hx9E3X0K+8EkOi6ICijzpLavzRGRJpSAPlvZURelWYt09RxjQ24k1/upy7TQp/1ftPp5GJBukR+ojT7/SXEzZtX0yvUgl/zyvWTrN0zzcjlEbk6Q80m+6Rn0Zs7EeEHpxLykLlVIi1L9eR8NspeuNNoRE+w7NmoYhSMOQi2HUhj5tlNbzbNa6zg3VevGvh2A5+rVRdHA9j7e+b903hUZ0z7XuV6PXW4Ua+ULcTggSvWbVn0sLUTliNYIxWR2DrGYgxa45kEDwfMK/6RuZz+YIgs+l+qZdydqdLbRP5Pmno6JamMwTRpEcBuXgaU2ul5f/QmjUO+nbkBA3kteSN3VkQM6XRwWkTK7Y722RnLVQEr+X+iJ+0C5+VUNoe54xsiqDIzjKtVZusm+s1bo4QyilR+yeh4h0jXcCH7J7ykDaS9YNltI7Rr6IZsHGQbJB6KfQyhqN9CoFbfXnR12do5bBNW0kQocdr2XmMMTP5YPmsQ3NY537DuuLSOPv6LT3S/w3RVYTOs3V+sZzeWU0L7Q8X9/OEYjjvO86DZpr6oXSqPXP7m3bnneebUNQfYxrfqrRd43fgESPD5AlB1dIEOLFxHxIVx0i0q4EaOn3AeHgHCLW8pfKMb1foY5qttlcw2SV5EvfrnewoC1C6+RrQ/KsTxrbkJvs1Y4DXPp+iczvV9qgImNeNq9tzfr/1xsS/ffWOugKTd9rqhnScwmhXWjB1RM5TBApRWCtc9rCUWud731VH6VAXLl4m/X9dI179RsR4kLJnGHluWljQJ3j7QpYAhByQ0J9X89BqkM7o6Lpcp+dhOBRtYXzhCJ/ovy+j1iQRwgDQovUc8D87YB6a5tC4aqdLIRmQG7e2UkItJsI5G3Ozr2RLCfkr2j1kJMjO0KGtPhlyLySMGTeTdTkPU6gDqvAvcCPWN8nCYRiFviz0v6J0q9T1qaEjAsz8aOH2tWnKQIFeaKcq7zWV9qzrZS+QbNkVr0eZRyt55BdK5Jwr3OeIflYa8CRvwmybFuPZp66RyocXRT/e4SmDlc6GufoNTSNdZ2je4l3VB/VI0CQ86Y29hH5kvuI+T9HzM9bCf5YBP4A+A7gofKcTxLRhBki7ekiEWF5AriL4PWTBPq8nzS4+6Th+yrgp8t4HSX45gskStQnS3tpA6pvrHOZqPO9isEoqQ5Xu1HrMq3WU1THXO7WqXJtcr5OsVCe7aqd58eGgTA6D9JIkrOjNarzFSFzx6ZPIqUCE6YJ2aFN2rOErJsl0xIOEHLmMJE/r8obcrh9jWgN1cY41TnD0Po2R7imzToZmyXNv9b7diKScoosPapjQot9LPT+AnfENe7jxLo9RRMsg+acLhFrSC+FkiGqGtEHifk5U35TdRutuwtkisly1bbGX2mN7kANyH0aPrf+EiKh2SfIdaLqTnq9uRu2OuZpP9K3kCCZ9IZvlBdoMCBljG/wdxntaTe6z1booGtNayLRN1Qe3kZpPbS1zejdiAG6WRqGUtSohKMNl6pr1+uT119dC+Ea1oaoRiTaxsgF3EbQGUdpR50T/aJt256fIUtjzdM0FLXo/MUT7qzA1c9aP2PNO9OlvXNk3U3NxypZneB6IQ89SmkqrUUK1cspScBeb0i0HBtXFG2O4Dj5zDKW2yI+bY56Wz5e2xqF9nUqxazohn5TO8q3HIameLRKaLgQKc3nG8vnb5HIzzmiYs0iiVDJEFDUZg/pTOgZLhKVGz5JroU5wsC6SDijKsF1ipB1O8iNaH0SwVZai55dPOmGswyFrYhuwXBEdVS0FhAz7Fjdx1qej9txd/AUtfOa72pP60RpWf7M4i1tRh8QxtoT5PyoD9r0vF7e7Vq00fOHnTfKfRZjZOqdnlnr0zfTab24fBVw43sQRNKfdVRd7aiSkta2rn+6tH8ToYe0mVBGtaIJQrQdTHFqkymS+XsJuSA7pI7aqj/K2a73XPk59aevL3cG5Ti28b6317ZHxSOMtaPp97rekOg1c6J1cECW7RK5kqHls/5f5Azo7cPGdgNLsNR5NT2u7kOtaHXNoDqufvjLLbwdXat7TNk5w1ByCbW28fF+eNt1qLBesF4lAJrjj52n426kjJq0c/9g+f406eULlZ4iy3N5rqcMJj3rTgKxU46w+EJvAFMt6AnCaJ8r7d1LIHQQOYPvIpC8txEGyzyB0qi8GGRemkj30nH1857y+S4Chf4ZAtkbL+3uLefeTSCD8+TmkiNE7qva1jpSSEyC7qbyv4yY7WSO3hSRBztNjLFyuY/Z9eLdW4h8Vylnyv2hiZQ69dkaqvlavKnQodaXDEiVU3IDz8PRkOtihqa8mKGJIu8ikVQhK0oJ8vWNtaFPzw0UAg0ZNdF9lf8qmaIoyS3E5sFXEbxylODDe4FfJPMk3wt8E8k34geRQs1aR1rj9xLRFgieUDUA7Qd4jDC8jxBr4YfLuXOlH7vJNBPKPaV4NV6QfLODrSONuf6vx6SmWhe06Yb1qC36WvOHZHkth7Fj/l28qzEVgick0zetue6RDFeZyhliPBRNWybr/0Lwm+rv30WTh+fInHuP1KlPbc+zltPQpn/bjo2S5PCNkSiy0FPtcVDpWEd5IR30CWurfsmZXn4lA1lytUeM4QrwWkJHTBJO6hVC/veJsZ4t599I6LZbyrWLxPpU/0Q9co70//7SntqVc6W+uDHnkTxFPQRceXUqd+y8CtR+Esk+XO45S6Y1CcDS/XeRueSuUzVmmps2UFO20qgjFqOidZFoRzPlhcD6CPKwY46SuvdRe0Nr0TD0Z617D0O86r7BcAG9kefdzHPA1W9g3Oz10J631nb9KD28qW3bnvcQqyP7nlKiha5QT+15/+dIbRGTesyUFqD0pvV4+SulUe+k9zC387vCsfUrcV3+DIvStI2hR5qEBkMzp7o2EnrVOWrHDX8hh54OA1cj4n4+hIK5kUjVmCHfEvhW4GOEgvtzwgh6EHgL8DukseSIsJ5rllCUO8lIxQnSQZgufxeI/QlzhJMrRXwvYWQ/TL5I5US5R5uc9rW9VUj0ZukrRU3XOq8NHaTleM1XispJXjufKQyujYWqtDJJoI3anHauuofz93w5d4VYPzME4lkb/p4uqNScegzqtVPzdf38G9FZo+KVfdu2PT9HPPOTZAqg6plrnU8TY3iRcAL1RkGliSl1Q4bjQzQNahmcu4k1dpamMTtPpF1pfOfJDfTzxHo5QKwzkVLKlgnDVetOzrJqobtT5ikeY3bMI+JyvqYIoKlOY5IMFlgxDLBTX1ZovtLcj6lPbTJYVMvqtaL0X1VItAZYHrMeXF5OjRD75zBylHQtQdRGbcpuWBveH23Gqs91b1lGi5igRp/1vH07H5ovJvC+rWVsQyJbOk9v6JOh5BPThnRAIgfL1fF6LkaNBEBWH5DS7hGImpDpNwBvIp7tgF2nxQ4h/ADuLJ+6VufLwxWCe5SsjnGU9Ph1j6OlrZcTyOxBYr6+z9o6Zv1XfyARaPVtr/XJX0DRI5HGY+UZf5kQwofL73tLHw6V+zu6rdc8i8fEFzKavVSZXhV9B5H/PF3aek95pncRSPihcl9HoutqHFTft4JHRMqZUz6xfvPUCzna+8txz2vWWNXPIgR7gqw6AbnGlst9fG0NM6DrNe2yQDv0XXEJaZRy8rdt9gn+ex2ZhrGLmNObiDn8F4Ry3U28Mvgwkdbxa4SRKxTRX+Kyy55xfzl/ilDuM0SY+VA5/wBhgG0nFPP3k9UbTpdnGieQ6iWCf/RMGjNHu7ba+dWca9wdrd0I2jzsnGGIs8t/l/nSJf6ysBpFk/7xF514OsGA5A+91VVo6jjBI6plfJqY9300Q/WTxJweKb8fAL6OrL6hPs6X43tIRBPyNfJy8BTZkjzzKK3nwtbjpGevDaetimxBrMETBF/LEFUVmn0kwnqZfO/CBMHzuwgjU6UALxD8/xAxBtIbmjeVkryNqLSxh1hLd5K5ztqLoOoW300ay9qM3CPz6e8o7cuxlRxU6pYqRrkMFEnmKGqnvHnl3p8q52led5X/95C51P5CKZ/7AVmpSrJupfw2TjM6JCdPkeQ6oiEHEfvNZarufT3Sukh0nVvotFkUeqOocU3u7bwQxNrDxhs5X5+OwsPGampupF+Oitdl3Bz12kh7m7n/qFEjRzfcSfpqJS16569lMu1ERkiffGPcFa7OCas3Fg5DeraSRl0n2knroK54onGYIMfNf28zhOqNopBK4jKZV7yW7Kp3tfs96kia/y40UaH5ZTL8qfPuJIzmp8r1C6SD9hi5SXSMMAZmyZcvvIxQtKcIo2mBMHYfLf05TyjQRcI4Xyzn3kbUFN5HGhdT5drHyXJW99GsPuPjO2O/OXK1lUi0DNF63whsTE7W19TH1+OpYW3I0K5T+FRjuw2pUpTA6xhLPqhNpR3IEVNKnKrDjBFGn5xD9VH5z0r9EMqqZ9HeFD1Lm8Fc97l2SNeiYfp2VLwyVemeGl2tx1XAkyPtXnLTx8Draist5BThnKwS4+sbuIU4zxMRJe072E++hEmRIhm6Z63f6q/PqW86re2DOmKpKi5jdo1vHlQESVWoZsu5Z60NjUFtA0m+KertrykXaTwn7Z5Ufa/tq5q+6pDoevdxm+eNnUPLMR1v+91DS36u/zlC3GZkyOsROULlEzesv23CccKO9UgGkjCSYFsPcW57Li0QyMoTQuf0RiOhLgO7rq29+v5tYbmtIOUtKv9pQCj6O4ln+mXgNwlkbJrIIbuXUOQaayE3E9XnVPV51I73yu+HCIEwR/LEETI3eZZAFQ6Qb42D5BXdWwaNe82q1yvD4y1EmbE+gRgeLO29s3x/CYEKei60wuxCSYUuyHP3XPy7ynlHyjjeRaCYerZxEkmaLM9+gMj9vofMj1aOMDTfRof9Pl4dHzUJ1VT+nHhGhqmjEzqmkKyMYeUZ17ztaF/Pvi+VP1UpgET63EhRfxx522nnS2HpvnpTJuX3HWQO5AzBC28mqrfovgeJjV+vJ/npM/9VjP+PkRtzbyEjJsqdPksq8j3lnIfsOW8mDOYDBE/cRfDqIeAV5XzVjNWaUCh72Z7Fx3IvidK5/G3bvzIKcrm3wtURzGGyse36jSCljqxqzlwHird8L0ebEh2QaRIyZoQ6ypDSulekCZq1jD3aoeoPylvXa7/fUO5xrJwvY00RNkW9KPebJfhjB7meFAVyB1L98DXl+k/kSL1+9/Faa26uFR0ho1C3krm7U4TjKNpN7iMQGizUFpqOgmyfS+TeFyGsdxK67BMk8v9u4FuItbqPcE4hHPe95fO20tfXl3vPk6iw7BQZ89IZM2T6iH4X30jG+16hFWJuVYFknKyW1SvHpkp/FJnQmxf75HsNauAS++7odb+MoeSpxlF55Np3omsVRZIj47J6q2TKtaaRv7Fws0iae1ZtyIDOEeO7l+7Xa4NAnXO8mb62oRMecl5rDGqvyz1gb9vv7R5xjaat1++NIPyj9PD2leocp0lhfYrR1lPeChJCoJywlxJG0BnSIJYAWiKMpFPkGDxCGC8P0Mz/lYFWvz55o+tq1DQqXnlRqfijZxyWQ+c0zBByJMPX5VpU5/z5Whcy2LY2/f41Mk51jXIRlSKhDWByjucIHrlAKqBj5d6PEbnQeq55wgD+bcLx/AzBV2pP6RaqCzxPIGNCuS4Q1QHUpwFhnH+YTCN4gORJ8aeMZt/Zr3t5LvhWVueAF742Xui6qu9b6yfRMFQNmmHqS4Qz/zDNSMc4wVPiQ98Urk1qijQsE7JmnpAtqsji/XMdMl6uP8HVY6A9FgKzHJlue37p0+WWY8PGeNRRC68ipudw4166X/zr+0vGiTQn7ZdQusaUXaOyrTcCz5Tv06RRfo7MdVfVpHcQRrbK550u7b2tfP9pMhe+jrLtKee7w+LOnSpxOBgnntFeIz3fIs01LZviKFGr+m6i5KX4x8vziX8ccXY5q/717bij/sP2z6mvE1ytE5e5/pDoNetEi9wLl4em39dKJhdt1NiuF3B9rfrh57iX730TefWMjRT99t8HZN1GedfumQlxdUb353DP3g0HRwHdCBBj6rm8Lukwo3tY6sfYkOtGSdr00icE/AxZgP0iYXwKTXsLIdRPEZU0vFbldPVdn/WLH/YS43dDubfqW+4h80efINCBBUJwLBLj+mdEDuHO8ttjxOL/RaL+8+cJ40Mbu95FlCLTHoF7iNcoq9zYeTJNYCf5govx8pwzpf3thMH0hwQq8RAxR1KgQsk/StZ+PUimB6yU6y4SYXyFCAfl93Pl3is0HQC1JRJfeHrCKErl1eQK26kOJXt4FXLtSfAKAXQ0w3m9FvZqw/sgJaDnVsWJAc3NXhr3NtRR9auPEukQB0ljZY5wohYJhOxY+X4TWcP31cAHCeP4hwm06gzBy0fL/58k+Of+8kzT5XdVvpkj82jnyfJaB0sfp4l183R5hs8QfLNI8IUQLW0a0h6YHpmaojJqMqq3glcg57RND7RF3dwB8OPigzYdU99P/Okb6vXaZq1p8YjnpIqEJGsTq46NEev7IeuPUi4kO/XSinE7Lmf9FnKz2VPEZlS96OMAwXevJFDQefI1708QsuxW4m2H6osbjip/pzEUvwtxVIUHr2xRkxtJGwF/rhV5dEtrXmt5hjR8tZGwb8cmyfraEGP0EDlnqul9lBjzPgl8XCZrLf+vwO8Szuk8mYL1cUIef6zc50FSp0kmazxXy7X7y//nyFJ246UdN1ZlKLtN4q8z134NgVsQhv8lQnf0CFkgJ/xief77yUjMpfJ8SlNTepkb5geBL5PrZKWcq5xsGcduR8o53GobZRT0gpFo2BgCOswIXK+9jaJTtWEqJdeW/rGZyapRaNGw9mojZKMost/rhR5f77pRIwEQb42qFd5m8ui+UpIxoFzSHrlZRwpL3rZSN2SQHCcFxp2EENG4CRU4QCgiIQGq6ylaLufeRiitY4TxI+MOUllKoLknvhl+2Qoa9RsL4eqoDly9c1sIRe0sukPvER5vty3Hs6624SSeqfNYxSeOyF4h3xQo40K5h9BMxVLaz2mCR54gldQ04fw8TKZTPETwyjuB95PGmlJB7iUM9jsItOsA4Yi6ESE+nSQdWdWa1ttDZahpU9JxEglVGUnl8guhr0GTrdhnUcvatfTEWvpHfW+jNhkrY8tfVELVzjD94OdojPeSL+PQmC9wtWPia2FfOe85whh8cTlXztbT5VPAg6Ic+l4/mzatK/3oAs11IllUI4q1A1LLrI3o7lHvs5BRqXS546SD4Ai1xlnpW4raPE5zj5JAoFUyz3yGGF894ysIx+UT1sZBwuDeXn7Ti0vuIl1gFbIAACAASURBVHTCGULGHCaMWeVFa8PeWTKFTSkTKvGp/o+T8+fnDAhDfIlMJxJPCon3PR37SWBLGyz1Qheh2uqLr31tSsT65NGMSfJtj071esHaFT991SHR64Vohl1To6QiNzaHtVEbFMOQh7ZFK4ZpmyyFzNpCuS6oZRxdsnMUQqn7UStkGWMr1fc24e5UCyT9JkNhvfGGq5WE0OitIPVBm5V0/3HC+1WNUwihcbJ8P0AallIAolsIg1gVCZT7pfPeRqDEewieOkyUGDpMhrr7RArGb5NIzmkif+3/LP2YJIThE6Vvyrt15GWBzHM9ThjbXyZDdUr1OEgqsA+UMfjxcp0EuxTXBJmjtkBuxvjhcs3LiVD7HcQ8qvyRjC+hSnrWel0JsfCNJDWqr++3EyjJVlAdMYFmjqrCh8r/g0wL0nUKs7qC9OPYd0fOdG/xphsDAxJ9FDKjF6VIIfkbLCHXtgxYRV1uJEPwlwhFu0TM//8C/De3wrkvxpj/TmnvrQRvvBv4AYI395R2tSFwguBTKbiJcq/9BO89WH67h4icjBP8ub38v788q5BPj+TJaeyVfmvHvcZQylPl9LbirYVOtcz0aMqwTd/1vpXa2IPhOsijHpDGpqJGrnPkNIm3ICo0fM76OG7nKTqgcVTe+TiJPD5KzMGLy/HHSGP7FMEHrwU+RcieB4l1Mk/I1QdtbCjt3EAY5HqhDzTfTKf15nnNqrowsE/pJR/HXnWOflvLebkWJEPZ+VcRywFp8CldS+CKjOeTxLwo8qO0mXOk3leqxnlyI+5h8r0DZwk5fZzgj68lHBxt2FWE8RSxyffrgE8TcldyfY7Qna8mUi202U98SGl7rjyHUnqEeks/Lpe/K6R+nSHK/4kHNR4CDDwtBHLetGdCpDKBiox6yVDl7Qt13mnHa2dA9/c3gWpOrjdac2PhWt55m7HqQskHxoWaD9Iw4Sbjx9v3RekT7G17XxwRFSktQ7/7szhdsf/VrtdmbaPaMJ+ozq1DYC5Y/Vn13QVRLfRrqoVa3aetII2ZDDXl4f0igZIph9Nzt2YIQ9SrXGgsKJ+HyZdk6DoJzTcB/+l1oawmiRSMm8t1q6SSuI8IoT9d+vR2Am1+lhBCMj4WCYNjpvRTZcZmy3kKax4lxnsfgQ7NE+kev/+y+P9OIiduQITx/g/SiD5FVmCQkNlN8Pxtpb8qQyUhqrJo2iRyK/miBMh6suIDIZDakAIZynR0wekkW0eOCotHPYVAm5g8BOgK21M5RG3rS7JGn21OqZy8FXJseuT4TFgb2lAjg9tfRiLe3VuuP0soulMkcviB0zF3vwC85ouwexe8ph8pQ5rzZwlUa55ApC/YmC2RryCWcbSL4OsFQlkeJIyk3yj3nSOU9x4yAjNXjt1EOKL9cu1OchO3nAd3xH1Mt0K2SM7r3hpjHRPVVVRcqTkP1SCFnytHTEaGrtWn5t9BGG38m6YZmu4RvPQlmm+/EzIs40UbsMT72ox1OyGHXkHM0Q2EAX17ae+l5bwDhJMtufpjRARM/Km0up0kInqJMNr+gszL9xxhPa/ydPXMY2TKT63z3XlwpNfnb5Q0IEGPJ4lxluGncpR6aZPoErnJdoV8s6fmQDnPWpdaF5Dl8RZLG+8njOdfIRzaH9oB30s+/wD4RuBXy31kuPYIo11O0xNk+p82+8lAlhPsOdTT5VpFm7SB+kI5/lJi7gUI6J6+n+JGMiri9tpMaess6UTJfhuQukk18mWzicflyGnvj9auZOUYTbTdke3rjdbkcR3UwDrELwZxFKgWuP6n39ryIdtQWhm7tTHshrYXiW8zmtva9v990mrv+VJ1flsf6zCYt7lcfbah0PIYhSK6l++C2/s+zJCu++rftwKN3kd432eIxSNF8TFC6LyBCFufIYSE0Am9QEA5X/OkUjhJKI8eIShWy/WPEIbtDwCv/0QgsquEMb1ECIZFgj92l/7cBfxzQoh9lNwNf54Msy+SofZ7CcF4B1HdQBuq7iz9O0zy/00EwvfeP4W3fRu8viTkiWc+QaCL2jF/rrQhwbWrPM+j5fjvlc/58nmi9Ete/XHgj8v/ErSnyB3nenYpUicZhzI6NQ5LbA1pbXsflGKg8ZJxKuNOeZtu8Khah0hGTH0vV+RaU9Bcp4vkDnmtHdVUlbKdI40jISqUfsjB1qYiIdZ6SQbAfw98694weD99Y+RKMgDeDnc//yZ++4FAocaJCMQxgidUHeOl5btC67MkAipESJsHv7H0938njG6lAMgRVerISeBDpX/zZDUCOasXrV1HGYXgj5o0z45StSnaGmBxFFXHaz1RO+uaN8lifZ+061wPaq8MZKUDb89ROv3uaTJqU3LFc9EfJmTZCWKOBsBnvz7k2iTBE99BzNmbSQfqRwk5PEsa2XKwDpL7NrShTsDAgHyLa580HF2/6+Ul7qzWDs12O9azc0dtHCk1QS8VUvUKbe7WvEqPyI7ZTQIUEOOtqMBpsm609s1o7M+Qe5a0ZmcIXfFh4Nsvh455lNBVRwgg5xyxro8Q8lvzrr0qnh7o4OOyfSpNAjKt8DxZ6QPSYD1Znuks6Ux69GGS0J0rhE4ZkBEq9UkAlvqkFLYrpR8ezVPFmV6577PlusPlGtXplgzRtXIgt8LhGgVtqt8Ssk61IBpGjigNM3b16UhxbQTA1UJz2PW14VuHfV24rZLocW2sjlW/1c8iwerKpU6lkJGse0uIeyhFC9ORM3/mtQxop61QcDUJ4biNWDzPEojYE8A/IYSJNjMoDwsSIdFGixPk5j3P3TxDvsJVZQAXCKGwSKDSesOUNuuppuohIrT9afKVqdvJzQ+QG6cGpV3Vz4UwUOcIQTVJlrV7nDCgP0sgQo8DX/h1+E+XA+meIxTZMvCib8vQoFDkY4SQOk3W84V8RbcMXCmjxTIGT9MsYQTJt1LSQjA0zuKl1erTHbqtIPXD10r94iFHH1fJfDttpvENUL5G9H8th3zd9u1Pxo7SNfTCox0EP2uz1XZSIcjhG5TztQlM6/2M9WOBiFQoX/8hAp38qycDlfqV/w/+74/Aj2z7Hd5YJl1G8iIRVTlHljPU5q4lmpEDPc88mZ7UA76TiM5cIHlJlUIGhDK/i1gfz1g7Mu6myfC4xkl5l1shYzTP7jyN0R5BbDOU22R2bVxLhqvNGjjSOtKakiF20c7dQdPA32HH3Anx1CU5VzNkRGaW4Cc5yUqB+35g9k/i9zOEPP08YbTtJjeQ3krMpTaXyTnsEciz5lbtagPsBMEXZ8jSfY6oD8gUK/1BE/HWeNb6disiFufJddOrflfFmkvl7wKpbzSvbgTtJMZBelgvR9H/S+X7Qrn2NAH0vJIYT4FCHyQN8geJyOR4+X+B0IEy7mdJdFnOjJPznmS8jG/x6GmC75QWNCDLG+4pn33yte+etgbBR5AVe6T7VG+8X/p4kXwB1jfRfEGPUjWU0nG5fKqOtqKibrfBxu2av6u0phFdKyOVdhG5APLEfVo+RW3CtxaA+pRR6VS3Nyz1wf/XJLflzUEqaeVAty18he78zxEaOREeEoGmIK/HU/caluLi/fCwWc2Efxdokgg3niJrQ99E9PfT5Iaa/eXz7WRVgYNkqPwIidBqscp7PkKi1Bq324H79sO3f0sIMgn8K8C/IYzYdwN/8Q9DqNxK5lffTBo9C8AbCWGiNwueJ/OR7yaExCUCWVYe6yWi3S+Vfv40YSD9yPN/yRcIwfqrwPf9evR/LyHUp0oblPZfVdrAPn+rfCpcplQCbRBxoSTkluoaCeSd1acE65nq91GTBLIjguJ5zanC3P4qZOWirhBzKOFNOc9TQ4ahkDomR0OIooyKC+SmH2hWAdH6U+qHK51lIuTeL58rxFzvJCIaz5ZjN5c23kwYr9/Zh/96B7zvv4Df3Q//ipiXb31lvur7MsGrC+VzQKQTLRP5titEOsglIpT9MwQK9jCJ6D9KKDI5BbeQaUuzZL4/JKq6Qr6MQU6tlHON9I6KXAcofUVOFVytY9xBG6Z3HLAQOQDkAIbWmuSNkHz9ptxSoXrj1XVynuo2XlLuOUc6b8cIpPkIkS/7VmJel4GfA/43Yp7eQ6CdZwg5cZqY298v/XmAcJz3k/tLhHYranKQkENTZH6rnG05aS5PeuTbRcfIN7a6/nSHVp8Xq++jIkdBz5FvkJWDAFlFp0/Om3SFHGUZjkpvqJ2ycVI3LJMl5PYSKVoa31UyhWoK+PfA9xDr9vWljdOk/DlI8s+zhKE9RsyhDF9orsFD5RkWaAJBWrNy2oRQT9n5eputQKgeCQacIuWwACtH7+VUrhJ7ilTej9LO11mbquePHe+T8lZAhsbZz72eaN2caEdrIYWMKz4Pf8nIqxWXG68wfGHVBmJbO27ISmC5AK1JzOft1+0qFCWl7gYKJNLkKRhtIWRHQbw9vxekYK3HpUbU3csfNi7r0VYovGUCdZbAfhWxSLWpUHlb7yVDlkIJIBb+6fKbIgJawK8lQ1FKvXiu3Os3gP/3aeDHQoFMEQLwPIEQ3AO86Jvhr/5joAF9QkG9r5x7pPwmY/lYufY4yTcLBLK8Uvr2r0jj6VWlrRVCEf0k8MH/Ad677WuYIpyFHyOMq6cJB0Ohv18uz/3zZKgOco35y2ckeLxGr4wKT3VwBX8jycfKEazR2vpFNqMmlyNyOrWL21FHoXUSvI6UnyJ3kMNwWaI14iihhzSlCGVEXbLfZUgMSORKa7lP8OBFsk74HjL9QmjRDFGD9Q6ChxVO1zP8zTvgb4tGFoDv6sN9n8/n3UXwsSIjA4I3byJQK1fwVwiE8l5CYctwlzGnjVUqD6lNsnIudT+dC1ljWkasHLitQKJrQ61Gl+vUQIEk6iNc3c/aAah5yOWzty8jRyk+yjUV8iZDo1/9JhIfXSRklxziCfIFUBeAT78y7vtFwhl6D+FwPUNUa/keYs5eRRhbXyh9/F3ihUy/TJZcBPh2Ekm9QkZPVMdc6UJeQlMb43fbb1Pky3lct0mf1hGiNlBrVCTkVFUmBuX/KcIofYx8Jjk1A+LZPV/XHahDdswdLDmzPWINHyXG72C5lyqt/EW51zThNN9JOD1fIJzaZUL3zJZ29DbVy2RKkTYcyilcLO3MleeUXpDOvIWUP4pcPV6e4bT9Lgd6UNpSSb0BIVf6xNxrH4b4WCCGdJD2TcwTTt2u8ty+90l6TalMkreyE+SUDcs6uB5ozRJ3U9u2PS90R97eeZqhKU9p8MUFw9M7HKVtO9aGFtfHveqFh42Ua+v30atwHTlfYf17yVhp67MLcm9LIXsPC7aFyn1xvlBq6/Na542ydMx3bdv2/CTwU18Pj/4J/FS57wlikarkzqPEYr+BWISnyHzgbyXQV3mr9xBom3LUbiUEw92l3d/eCXcuwX0fg6feGhUtHgL+BYkkK3d4Gfg14EVfA2/8y9hQ9RliJ/Qv0Sywf6r8/wSBBikX8JOl76qksUgIvRcT/PhWIifxvvLsXy79XCCqgxz5OBx4c4bUpgjB+tRH4fa3x/icIAz5h0ge0UaWc6TRLCRDzybl4Ma0DDztKNeGkvNcXa2jplGWo3LnUYasDEGFT5W7rZQcyDW+i0y/gWZ4skYp/bhShyTAhUrLaFTNXVXlkFEg5atKCivkxiIfPykMGZtCovYSRtFdBL99lFCG9xDz/fOE8pom32z5YcLw/iCh0C+QudmPl89vIVBKGWS3Ei9S6RMVXp4iDLRZsibuo+XcR0mjSM9B6Y82Imns9ezKH122Y1tR4g5ynN2IrmUxLee6rMeuc/ntET83BsVPXqHE7yljR46HbwCWoyL9sUJGFHTtNDG3Z8l9FrsJx+duIoK3QMiDbwL+H2J+foDk8z4hp574Fjj370JG/TiRD/8rZGqbNq5JduwknLvHyDSOOcIIUmk25cfKwINmWoFIyO4l1n4R0ah4ZbbwSZ+mbNtJPNMTpAzQWtF3pSfJUFwq1w/K/3cQqYiHCKfljcSYau/AXeS+mj651vX+gN0EDxwj0y/GifcUvIRYo7vtfsoZvkzwwxNkCoXGVM+g59KbcBfJ6O5S6YMiZs+VNneQqVsr5fsNZLqaqgsJnZbuWSptKOVEG6flXCvNbbncU7njbgtpjQiwlMOrTaEw+hc4jYLWTecQyqXwnhSeG9dU/6+VB9WWz1aTGM2RWJErX++n/19fU5fHaksRccEqz8/zmOs+D+u/DHXdozZQ6jHaDEpcnzts8npD/h8lnSQQkp/9k3zByY8RY/k0Ub3i1vL7Q8SCFMorj/izZJrMRPm7jUDW+kS4ukcYIY8AH1iKdI6Tb4WXvDgMUlXB+CiBTF8hUJszxOI+95eBGgwII2WFQAcUzp4lFvL3kWkmz5bnU07cFPl2wsOEUHgdmff9g58IBThOhGFngB8EXvTmNMK+RBjrx4DB2+PZpHDvLJ83lU8pX4Vez5Bl/Xpk+ouHJ4Uk1k6g+LHe9LRVKIA7lx5u7ZG70OuyRx4lEjoCmWrhL0lRW8qflQxRXr3mcDfBc45Ka5whNxD6uCgnvU+Oq5AjhYvHyZSdXydfvHOYfHHKq4nIxvcSvPcK4Kd2RrtPlX7dVs6VDJYBvUQo1BOkczRL8MPbCeX2tJ2vDVIPkzv/TxII2jRhJLyC2LioULAbkFJ04jVPWdgK8mhCHV4fRssMl/WisTWOK+KgdaRUBjcaxFdyujR2TqqGoUoE4jmlqR0k5Nd7y995gpfnCf54CPiudwf/fD/wGkKOCEX9N6Rxz2Q4XkeIOT3y8rhe9aSFQmpu1Veh6hAG9FGyJvIsOc9KsXIDWikqF0n+8PKuW6V7tBZV6URrWLnC2nAtY1+OLSRy7mly2pjdJ8Z+QMyNoqpnyM2ZD5Cb6AaE7ruRRGjPkTzyeGnvJFk9ShuDF0i9p9Q15U2rH5I7sn1eRW4IVlqkUinER2Pl2A0E2PMMmQoofXGOcLZVAUR7hWSgQ9awHieNfkVHXTbcROo4jbdkJPZsinBInouXrkdat060LwrIGpna8OV1/zwUW6OvOmfYxkKRC0oxd6/6TYzVlkoxrC3vw7Djojo1xRV+7WXXiLYQNDkedT/rdJjNhLva+jnsPPVpK8JpEILiBCGEZeh9M/CbwEeIMOQhAvmQoTpBLO4/J2sw7yPDXecJI+Nh0khZLvd4kECt9xM8esMzsfAfJATaHDEXjxHCYY6o23ycEHR3AHf+fXjNX4dQuJ0Yq88RG/sWSz9uJ9CGJwml9CyhmJQ28vNA75fgru8OtPBNwA++Ltr/EoEUKudUxfU1P/eW/vY+DD/6zni2f1n6B/E8j9r1Qjv2lePT5G77AVmaSga0hJtCcE5TNN9gqJDvqElCVOTrQMaGO5iL1TkrZG7eQbLuNiQaD025sdxyXAaRNgm5XNHmNZdV0+WcW4mceMlAf2GF7tUjlM6/I3fvnyaiGEetnaNENORp4F1LMe9/BHwDMa83kxGSC6QDp1rmQolvJZT5/eSG1ili/QhZWiKMchngUnKfsmdUuoGj7z37LiNpoxGwa0Uuh/17HQEV1ekENUiiNeEOknhOvNW3TzlUGkdFrJwflebhiLXuKeNElRSOEXP+/USk4RWELJsi5uP+cv5bgNf+Qob8p8qnHP5PEbLpj4Fv/3i8BfUi8DLgvQ8Ez/0ZmV73MevTHYSs+m9JZFORQzluTnpRjPS/jCePfKlsGuSmPfFQXZDgWpLmV4YhpAEoMEz9hsz/7RFje47MBfe0UBnMq8S47yeAkjmy3N8jpe2DxHraTcpgIdzPlnu8hUg/lOzQRmGl7T1HFm+YJHhkmai283DpqwzYR0g0XI6tI93SB99H6N4+WcZShvaAkB17CV66QqZeav6PEHpsgszNvr98aj/FIXLz9SnCiThF2oTLNCsyqWSifpNBvlVO17WmdatzKOQJzZCxFLNvKPSw5jhNwVcbj+vdU+d62E0CvVZ49eB7bpOTp3zU96sFL9X/WozDNtXUz1l/XisG2Ug7W63kIDfDvZ8Qtp8C/mcCkf0sucnhHWS4bQ8hmJaJBX6JWNTKN1ZemYTEgKyfeTvwPxHPene5/gyhLDTPTxMKRULt84Qh8/OlrSN/HX15OfCendG/WwnD+2OlnbcS4blvKtcojP2y0t4PAf/Xd6dxc4hQksoJfxeppE6VfvUIg/o3CEX2R++M40+X46q1KeE6Vf4myNDygPDwJeylWB219c13Xogf0pDV2haaO2qS4aF1JIdVm3s0174HQefXpHOkPD2/VYoKO0cIpRSNFIbGSBunNV99ckPxGWI+HyjtCqlRdED9l8FzgVgT7yJCwH3C4D9P5K/OA/+MZn3yA8A/JjeGnSWiJT9R+i2HUbJ3pnz/0J74XxGS1xPpSjsJxb2j/B0ieOY7y3Vas5AyUGMhB22ODDWLdwZcDZKMmgb2p++aYzeOXUeIah2h7yvVb3ou5W/6MaHSfZppG2rjAlmLXcY25fxpko/7RBrOFLEZ7TjxyujjZBTifwQ+uSecnjvIV0O/npQNS4TDfxeRFvQT5IZtbfzzvUpCUSH44jjwIwQgoIiM8rwFkB0k51nOrG+EF3qocV+145oHuFoPX2vy9Kx9pP5TBQvdX2tbKLCQ6lW7RnyiTX0zhLN7C/k2v4Plu8rpTZEpfuOEPnotWaf9ncSY/FFpe5KYD0UF6v1mQrlVEvUkiZQrZUXOuCKRSm/znO9XAH9Q2jtDpmJIz20ndM6T5GZEOYzq010E2PNcecbHyjPLCZCx/xQhv/aX5z5QntHXnYMjSpmCBHC2Krp1rWldIxqaCk+DokGWUofcwKIF7N64qBZwIheEnkOjTrqB7qE4R4t8sWqi/F5uEFP9XvfTSaFhP1fUp3m9t1HfezOGdN2Wt9N27t82CdFTJYAngH9EhBhVo3mFRKFnyzWPEIt6lhBsny/tCOkVygohFBSW6xOG+r8lhMqDhGA5SnjCemvin5Ml6t5JeOZ7CCNZRutDwNxSCIgDhID8t+XYFwnP+1MEIvAOwoB6iKy28BEi53mWyK8+Xn67hzCUj5Gv4h0nc90miSoMr9kZxvjD5Z6vKp+fL589Mu1lBxluVIH6RcLgEnq2TBhJUrjY/73quz4vs3Ukx9zXksLltSDtkTnkEsLKdZQx42gppCEkWiXRaskLhRyFkMmwukBuWlRutIwQR/kXyLf6CT0S6qv0iz/6+/CeX4u5/z4iZeIQ4QA+RqJZ2icwT4T1n3r+v+R8aesjRGrSNMFPkJt4FPr9D2djTG4hlNgfkCjYr5ZnUkRF5beOEQYaZH6+UloUBVKYeYVEoSRXfXz/NslBCvGSO0vOFzruClxtOOqufS19a8eRZ0hUWefLKdWeBWimTIl3l4l1PUm+uOlxIjVDqRG/C3zDWfitF4ecmSJkwhfK508Av78zZOc/6Idj950ED/8AIa8eAP4DYQD1iPxo9UmOwBdJXn89gTrKETtNOFlC3WWkatyEMGr8xqpP/d5j9G+2FHKqPTZCoKEZAVd5u0ukLJYcUl8FXMgQ3E7mjJ8iZP80YSgfL+fcTtb9P0VUaPokkdrwjURE6mdIx11Ovwzek2SKjVDo88SeGoE2K+X7GQLQuUQ6AgKoDpS+K7deUacrpC59nJhf6b6L5BuDV6zdU+W8D1vfND498kVeB2zMZAifLt9VNGCO0Lm7yPKLbqhrj8VWpRRea1rXiJZSdgRA3uYMWb9VSqdNuNaG37DwW22AOkrlaRG116LwRY0srHUv/e/G6oDmmwb16eWzhlEb+rtZw7m+dqNo8lajzm2kxTFNKO4Vsm7lZwgD4u2EsakxeTuhyKWsVS95jpi/E8SilmLaS6DG9xELWCkdzxH5gn9KKJBnCGOlT+SfHiEE0G8QxuplIl/1J0ubc8Qmjz8kd2bP7oyFf6Y8070Eov5LBFK0Sii0J8oz/gMidPpsuc9xwlD/IlkMn/Kse8r4HCxjww/HMe3GFgk9dl5wY/cikecmQTso13jUxlMn1BZczZf1eaMkhe8gjWMZMm6sOPJSR4eu2HFHRbWetSFMTrk75n07T98hN8FsJ41uvdHtIoke6btkntAqyBrgbwR+9q/h2e+IFw2tEG/v/B2C1/+I4J9ThIJ9E/CDY8HbvO+vmCT2FOwiojk9gp/0vJfLOMwR6+ARgvfvomn8HrMx/teEYj9IOIUPk5sfFYlQrqzyzSfLPZ4ljQ43lLaC1pKh9TFHnQckD/hxXecOmEdVz9n1kKkLzp/ehnhZ12gtqZa7nC8Zk9KnE4ScUHWFN5DRqnngA8+EIXsnIcPeRPDVfwd8w1LMxd0rIYNuIwyaewmZskBGOpQLrb5dIEuzqSKE1sBTpBMgHTxOc81B0zHRetpBc+zbUi5HQbI7xknUX2lV3lfpkBlCRwg5hpS1ygMXiv0sYXAquiS5/Qukzr9ErDvVQ5bDuUhssJ8j1t691k+BIop2XSb5Q2kx2i+i59HGvUfIqKiqo+0kc+1VveWXSP12jCxPB/kmSznju0ikXveZJByEJ8v1F8kqVkqBOUXo7R4ROVaVp1PkfoApctO2p3CMk/JmqyNb15I2lM4hqtMdFLbSxgvl1Oi6NjS1LdWiRnbb7udhI/15PlZNnqO9Vh9qgXjFjrm3VPfT+1X3tT5n2PUbpc0a4n8bRrUWumpk6i1FS4QB/c8ID/1xsi7q9xDoiuevKdXjQGl3laxpfB+xMA+TVT8+Snj7XyKQ4WNkJZabSIF2gkDyHiEM+e23xvz+651xjepdLgM/9KPAIBTwgdLOz5G51d9LGK//9JvjGR8nhM1ceeYD5TlmCZRxnqzD2iNyaoVcAvxuMaIP2nPqXGjWLZbwkVB9kmZ1BZ1bR1dqL7/OedyqaIaneclJlpErNMiRQn16/y6SSPCATKdY5eoXc2gMVAdWm1r0YpUZ0shQ+Fu5reqv1zaCZgAAIABJREFU0ku0+WeMSOc5WK4/R/DkAqHAbi99/CzwbQSa82nC0ZojFEyPQAsPEIb1vwTetwo/NAb/5EfDMPqNco+7Cd5V2arZ0r8vlb78Qfn9LOG03UwYyacJXjpZ7v8+ot3j5GunHycV8xiJWMkIUdqVnEAdr18IMWqq9Ykba/p0xFfH61xcRSIUYZAMl/IXv4kXVKpwxo45Tyg3H9IIl0GufNfLNNfbyXLdU+Rb3+4jUOe3ENGIVxMG8AHCOfooITcU2dtDRNZ+hpj7PyBC9F+28VgkQ+VyvlW2TgbaCsG/nyP4Sc7ZGGFAavw0tlpXmos5e7bz5EZFne96eFQko/cisQbkHC8T6R3ikQViTC6QET3lPM8S+uRmYm730txYqZegTBNv+XyWTO04TYz/SVJ2nCZ0zg2lH99LrDEZ0BBryiNxe4mxPFXOe5C0sZQ2Alk9Z5yIui6RG5ffUp7jSwQvPFT6ocjXOwggSvnUB0pfbydrVo+XMVL1qONkSst9NDfQLpMpRUfJ8oq3k3nOM2S0yx1wpcccIvXa9Ugb4m9fNG3pGNqFWaO6Woxt5IavX+N5XHVedZ1S4ZtDNmoEuNHs3rQU7karZgw7vl5I4oUYK5s1irfKIKppO7FIPdf0EKEsXk0IqMPEov8U6YkqX0uldBQ+mqX5gpFbSIEpj/5thGJ5mBDoKpF3jqZRPUOExnX9U18Mg4NbQsjcVM75MHDuR6Mz54i8QZXgUTmw3cAH3wxMhWC4mRCgysc7Wdp6jsjb/jCBKv770sZvlvFS2Oup8imUQEJq3j4VTpWSnqL5ClU5mfLoZThKMNV8rXv5ZuCtIK1tkadcKfTar77X+drbibGe52qS0pZRrTFRSsZ4uW6mtOul8pQLeoBmGhEkvx0n65A/W9qeIfjuHBFdeYAwjBUi3V7u/Q7CiF0t7R8jeFrpAw8Av7KaKSFKRXqEQBd1L9XFPVHaOlH69lC55ydIR0O8ojSqWwmUyvNET5CI+hMkr/cIY+0xckPoKbYONaoBHEeB3Ulsk491FLA+R7yhKKpkvxvdWmvPkakA+l2GmqpBSFdR2lReq1fo8H0Ly8SLKXYQqT6LhPHxg/8Qfhb4x9PRr9eWe3yWDJvPlN9fR6DXA8Jw0lsMx8kKP3Ls9cwy/pU2oIiF0Pdd5NtcIeWMGznadyEUXukGdS65aNRVF+TU+AbrAaFPFEFR32bIFCx3nM4Qz6yNwE+SOb8Qz3iCHC+t34cJg/E2YjyE2P5zYi5eR+i8B8ncdmiuX6WBSVbM0eRt6cVz5f47iciE+qSI1D4iFeg2Yo1rn4SM13Pl9/PAZ94R/XhLuf5uwgFRquCu0seTxPx/sPRfzvwcYXALgX+stCtHSg7DUjl+mED0XR+dJMsMrldw4u8yrWlEizn1gPIiPMwFWXZFC8kb9Zw1Wv73TnhoFZoCU/d2YeVoVp+mQa1+t1Gb4G1DlGuh7TRMgK9nhA9jlGtl+NZIzVaRQp6fIXPtxgih9BIChf4IkblwkERKBmTIGcJLXiYQapXXOUDM5x8Ti9VLlP0h8FO/l+V9VgkBIyXySUI4yFDoAR/6mjBYDgEf+tMQcE+RCucHgK/7y7heSvJGwuA5TAiYt30c3vdx+O0fjnsdK8++SCi43yz9/KdEGP9VBPJ+hqha4vQL5fP28ikkWrugT5A8LcNZKJPy67wajNaEh1/XE1CjzlsUaf0qnA3pgPvGGP/fS9pNksiFwohS6jpHJLmgMK8QIKUNPUkiShPkng7lLbohPU6Mpxy5O8u9X1HOmyL47pOE0aWcy+cIw/QkiQA/SvDTQunHSwme2ksowbNkqs5R68Nusmb5IrEuvkzwnspoycDdRRhW2mvQJ9Ks7if4nfI8Usoaa5XHU2UKoaon7Bw5qaOmjcjKtkifG9C96nttXCuC5oYmpC5R6s4OMjVE600l34RIK11AemMHMWcT5dxX03yttELnv0DIjk8CD//H+O2N50Me/BTxxtU7CVTzDDHfRwg5dY89z2sJ3hGPnSFT1Fxu6JkUhRCIARmJ0TrVeyEUpfXnV/Rmwv5fItOiNB+jRqIFqGl9Cx1X2UGtf73nwq9RKpyMVFWGUqrLbLnuflJmyUhX2UjtGZgm5cD7CWd9jljr08SLc7QX4SAxDztIJ+wMmYolUsqENjmOE6kop8mXO8np/kK5Z59MDdRbebVJ8bdK+/d9JOZSKZP3kzpE5f8WyrPcS9a8fqT0R3sCFslSfANC7hwpbUq2KCIjHePpQnLErmdak789F7o2ytpQZhnQw1Bmv7be2CHESMoTmgJN/yt1RIvZBafagasNXO+/PNNhz+a/reUhtV2/nrGyWeP6hVKtSEZNEqRPEAvmOGE8TxOGyhsJg+D7yXwqbbITKnSSUBznyY1We8rvh0nUdz+xEI8D9/0SfOANmbv1OlLofIYUqKpkcAb42b+M3Ojd5ZyPE/VXHyfyqveQIXcZOgdJ4acQ2WeASz8eyN9hIsR/d+n/zeX6m4lUkG8hjeJvKp8Plc9byqd2b0uIOmrhESC9IEACCppGgEdZlJ4kg7VWbMPSPUZNU2SpIylcIWTqj6dVaN2vEDym85ZpvhHT90u47DlLbjCSw6dzhCpOk2FOSn8OkobFPkJ5jRPGqxSqNvycLG2pksUp8rXZ4sNbym9/XI6fIlBGGQGq0iBU7CFCce0t95ku99pHrKsVAtGcJBTlfLnfCXJT2AxZDm+KrLwhB0SKd5xAlsQ/ivhcplk3dtTIokhzs5acpjpWG8xtIIhHSeu2HYjRutMGTl8zXq1ENYQhHfWL5CvbX0zIh8+V3zQvJ8t5byZf6T0g5mOSmP8DhEwDeNfn4L5D0daRr4/KQQOCN99D8Nbb/lFGIF5C7N+QcVvrKZcfmnM5SULnFZ3RuPqf9qto3Tk672DXqPlFOlpzd5o02GSgQkYTLpD2hjYnQ/PV38rf7ZEpTEr5kFN0G7F+P1n+hMoqLUJG6hSxjj9E8Iocb6HPAj0kyxQxcJm/Uq5dLX1+trR9luC9Hy/3fZCQjwvleY6X51c6x25Sxh0qfdIeiT656fACIbNeTubbK2qlKlGThGw6T759WClk2qCqMdZGfzkd4i1VVnFQ5XqjNd9YOLFt298crJFdLSo3moeF1tY7ttZxv0ebQV4Lz1oofqXG6Xr9Xu+6NmN+VGGLYfcUjfrtYuIRvSGyRyzEE6SAWyGrKwgVmCMWu0KNEsw9stSX0DTxoHJR5RD1COUCiQB+kXwl6yRZf3UXUX7v5wjj4NOEUDhJ7vSeKP18mjCEnyl9eAPhDHyRyEd8P2n8zJEVNuD/5+79g+w8rzrPj/puS13qaatLokddkrvUpbhLQlglR2Uj4nXKY2+C11lnvKG8yYTJABkgA0uACQkJ1NQyG2AGWHYHQmD4lSHAhOHHhgzZyYRJyCa4Yhw8yTrx2qW1So5Kqo5VcgmpWtZI1VJXS/vHeT5zzvvqtuQE3wblqeq6fe997/vjec5znnO+53vOk0ZWRQZuljYqWVGniKzXyFZ//lYZFokRfdYA0JARifWckLxIdYFGkBu6GG7cQiwaGg5TBOq3RJe7LsJWkwxPlXMuE/J6ovzmArGgrBDO2Ty54cmAkKeHicjIx8nasBAIpDSOFWIx+0NyLm0jK4ho/OwmjYU9ZO1YnQARItH9fl7JPGEYSOGz/xyL8fasOjGj1imQa0C9z9qGyc1LXW/WAlv6320l9ZIGEER/uJOl9I150lBxI4lNhBF2kdw17s2EvjhJIM1PtOecI6k19xO81IcIQ20fISu/SSDYv/VjcPBnY0zPEc76eSL69c3lnudIYGC191qNaY0cUefrUXfUb8OAM41awZJlRq9ToFtlRRDQe1gt3/cjbzqaUqbqbq6ivWPEHFLXm6inwWuFCUvO6dzbv+fJHAPHS1qZpfZ08GqVl9Vyv5Z/NUo0Segc5/Q4WcpSys5hsrrIBEkXMU/HZHdzmjSmXYM3k5SSC+3cyoXrsFVmfP7DJLBmBHE3oc+qTVeRfdvX1Y6Ftr4HWx/4Su97BVjvb7z87nrnHfZ+fMh317vhYWjD9c6/VtPT7p9z2HE3upf+/X419/TVIsiG2EYdPhvWLN11G+G9XiFrRkLyth4kZMPC/VY1MHFHg+OB9t0L7dyTZOWDfe0ab2/HPNzeWzrOerxW/vgSEepaIJMpvouopvHZdu7fJUKnd5Oo9wrBGTsBvJJUQK8G3vdghFOPtvu/n1CaR78x6r7eT4TBVJ776XKcIZVk7QPPBSn/bq5R59Wg91n9Ez2rSEafq9ifn+uFRDu3LC0Fca9bSdSrKt8aTdG5gUT8/M7Fr+/QW03C80n9kPepIWEi6M7252JwRzvuELkluQjlSVJO7iVk43VkAs+DhCy9hhjjK6TBNUfwk79IyJ4L9OZyzieJhXaBLOlnDWDa+b+//W6GLMkFGZKdab8VFaM9j1QC+dq+1ynQSZgmOdgH2rXkS65Hqzqwv9bY+np/mAFd543HVQpgNb42l+MnybwMK77015aNZE6FEZStxJgfInmyk4RDvkCM96OEDO1vx+wjdNLrCCf9Dwg9KF3nE7tiw6jP/zO44+pmfg14/c+GQb74raF7rfJgxOWdpBEzIPXvBCEjW8idUTXWlsmdK+V29/vQvttMtzZ934CG0XPo50jur7Qrr7mPmIsTxFyWvuPW3uNE39zX7n2eLPW4mTAuTSiU8vFg++0eYk7cTdAUvzQW9/IOQh+4X8C3EePxbnJjkgmyYkbVc/vJuXg7sVZonE+S6+Ir2vPcTqxR2wh9Is9d6o45GBfaud/U/n9dO/d9hBz8Jrlmz5AOv8bvORLAkKYitXE/GelbJTcFu0zI01Lrt8Okrh2059lexuFmbS8Zie43J0nfwLZdD1l+KUiBHrHn7aMNIpb12ibojArpvdnbKD28v7dhw9VnSaRZpMtyPaLSdxKZzOMk305O4buIpJq6WcAqyev0/2Mkb83F4TBZq/McGfaGNOTvIsPwTvYBMZFPEorwJBkCPExmLj9PGsMQHvVbiaz5RwiDRxrGNKE0rDF6M7ZRokbVIa4h+zrfXbBFXa6Uz+Vh1t/A2sh2vZ488nFC8WtgSHsRpZ4n0GLLf9V6siJFRltEmmbbb625LAJ2klhUD5OVQe5v74+33x0mFtgBmTD0EJEsVrnJXs97FWl2IdpHJke5MNWNPzQG/d9NaJxvE4SRd5zUpQcIqpSI3Ckys349kGi4cURv2HrSj2LaR8MQ1iorNf+mRjMulN8PiLFWXtxwA8LIOEFun63s7mjHTRGoc6VJzBDo8SqRR3GFiFJMk4bQZ4kxmSFkZY5Ap3W+9pKGyz4iD2WSjBr4PHKedQogOd8+Qz/SU/unbgsuWlm5xmu1UcnKLU1Otpd7cedTn3MzYXw+ST7XJPHcl8gxNHHctWeuHL8E/AQBnkgR3N+OexMxph8it06fI4zeowRl8N0EfeILpC5bIQCaz5E2jEm8dWzOkduIbyQ5+ZDUuHNkqVkrynyx3ctuYg7fRyQ9iyzvIDnxouqiygvkfgby+I2qGI3yHiBBEHWfeleZ203oNV+hm3vgcV93SLRekp6DSqQueP5V5AsSPboRoloRJT3cquQmy43WMHD/PlX6FV243vXWet//rv5d795fjubz9fvxb3vbQijVh4hQ+AKx+M6RSR2HiVCkvLRZgh+8n5iUHyeMl7ogAfwxMd63kMkVk8SicYVYMPYRRvK7CK6gnLD/m9iI4N8R4axbSGRtN/Di1riPBWLDgxmCr/oYMQ5vJXhmhwhj+ol2/48QSNIBQubOEgrpTcD3EBsiHAD+CviPJCIIaYibHW7WfVU60JVjjaIqi5N05XLY//254Pd9BHo9kQAXWikQclMrD9AFu6Jg1fhZJY1J36+QqLPGkPSdHXR1h7VRrY9aE6LmiQXztQSf9V5iYXEb7Tpu6qo3E+N9klwMl8lt759s93CQkLVn2739OLFwHCTkcI6Qsz2EAb1MoE1bSQTLe5F69P3tdSe56c5WQr6rcTlGLrLTBHI5Te4strWdy3q3DwAX7otXUcoL7TnWKxlIOdaBsN0osun/GiIeXznz9bix3nEz5XhpPjU6okNvCFx0X9lTR8m1F807TRgmC8QmHAtkMuLjhO55E0kpkCv/eQJxvJvQSSuErvsewsD5zvb7s+0zddFtpC6uz6cBbeRyhUyonSO5zcq4c835s5HQp5aWW6U79zy29vGomveqQSdX2+Z9nCC56yLR20hk1DkPsZ4I3mwm1hSISkvzZOTn94A/fFuUsDtAoNC3EWvTdxJc48PE+qHD+09JmuE4wSveRczryXYewR3pQ6vA/0o4329t554gkG7HVsP5FgKlniT0105C9k4R4I/1y5cJfSWthHbu8wQP/8l2X0utPw4R+vIWsgTg7tY/bvBitHaa3PURcr2aIKue7KYbBbtZ0ejrItF6eMOQ48px7U+SPhJ0vf9Z47MbIdXX++3X+vnfdLtRH3215+i3UXp42xon2kxlQ0ouNovtOBeHGjkwa1pjxkxeQ/bjhLHx02RdVtG2LeQz7yUU1pZ2/fcThu7vk4uhaBtk+a9pQincSygODYoPtfsdEMrqOKHEPkAmBz3XjrX6wwqhHEQZ6tbKN1NbD/4iXGsY1QiXhlN12KGLDtb54m81dkSKK/VgM7FoSKsQ2b1ILFoiamPEYrFKcgkhFpKnya103w98H1kFwCQroySWxDtNOpRzhFzcQcinpRO3tnuT2/8lcl5YUWGckP/n23VcOJ9p13SB2kyE+XcQ6JVRn9pftd/9rnJ/IQzoT5Xf7SUcAMdkvTjRL0UXVtnpy4rfQ8pIvyKTfG8dO8ixM1GK8hudtnoeoxAV9YeMUpwjx1vKkIb+iwRVzETUx0m0cJowpN9GOGXKxRuAT7ZjjrVrfDuho7YScnqG5MgukLrYvhARh3RUKwd9UN7bP3BtRSDo9ne/jRKJdq1xLKR1+Dyz5JokTekkaUCfIkFCkXpITnstdXeILC230r57CPiZb4BX/1UYj48RY3sPgTyfItaXI+TcO0WMxSGytORFwpB1/M6TqK9O2t2E4W3UifZsrnsapS/QBR8dZ50DdZLjpX5ZJtawI4RT/UHS8HZde5FMVvV6Z+hujFejXlLZBDo9T50L66FTRtGui0SvFRYdkPC7HeafC99E7zf+7noKsaJnfdSteip9ZHi1934tz3ctNNnv+p7QWp+thUgPQwTXatdDt+H6SMtX+7v1aCIYs4QM3ENMxEvts0myDJ2IhRnAh8gC8kskzUKO1wqx45PG0VFCYZjAoUd8nOSOHSQ2sHiM4KQdIgyA3cCvkVuIjxPK5M+uJGL+OJmE+G8J4+ppIuT2G+23K8QceIRAIUXf58gM6iXgwttCeX6S3EBmuvc6217l++5prxWRrvxEvXr5mnW+0PvNWnIyWY6r11qP5jiqO6BrQOscqYRrCUzK/3Kk50jKxRhJURD5r3VsayLUOBGa9LcH2292ELKy3D57pB3z9nafG8lSc58jFxK5tF5/nHC6DpCh328hFqdvIaMtZv//4/b/s+23Riz2kzWeNxML737CwJ0hqSYzxMLqouYOZNvICI5/9pVtC2lE1j4+QPBq5+huBPE3ER2runhYhLBvFPubOg9WesfW88kJdXMZ+8ltnaVkuMbZX5vbZyYczpKO+FZCBpT5zcDzW+LzbSRocLn97vcIeXuKTBSzwtE7CKT6nxFJp/sJ+VskqAK3EYb204Txs0yg0ntJHVvXZY0nyzFqLG8nubnqHOuuyxe2j+e4dizq2g3rx5+faveuXnE9GhD9K6oub1j6hyUu7Q91OHQ3b9pORAOOEjr9PxH5L+8DfuZTsPpX8Nk3woe2hPzc035rpPREu/6TxDgtELJxlJCxf0JEnT5L1rLfRqwHroNu5KRTcJkwaE1ynCbW3NPt93sJGdVwlmp4V+uPO0mdAFHN5XvIHR2PtmOukFU4lN0fJ5Bu7T652xrQNZI41n6jnpqlq6e+bpFo+Yt9hFjBqiXo5BhBLog1A3xYVvWw5vn7fOeX0vR4boTmvlxIdDXi/zq/+Wqf+Wu9/1F6eK/YsOHqQUKB+zw7CC98M6F0PkeMkWEtSIW+Qlb1cALuIbfMFk2DLAMkDQJC1naTiIL9KedtiliINhKhub2k0TJLLDr/M7lwnCENkOOkXMmjG5AhXPl3ZkmLDj7G+m1M8XK3USLRRiCGVfapHLnV3ucDunzzC3Sbu11Wp38fibzVHbTOkAuRCNY+YqH8DBnhWCAoPLtIw8PrigZCbtqiDJpFf4XcUniS5O6fa9daaMeJjC2S/Etlzf5x8bRqyGy793Ok0W7Y3W3LKzWu38e+r7q5cmhtO8hkIUu9OT6j1Cm3lKiF9z3MUL5RUx+tVUGC8p20mTOE07ud6EvzMPrIMySCWRE1Q/DLhO57vJ3XjT7Ok9GQh8gI2AphfD1JGp9fIBFDKxLJTzfy9+OEYfZRMnTv8xjd2NPOa5lGuasaOCYVahD5fUV4+w7KSjm2Hx2yKVOj5kT3QTuRTyOjl0lHR+cKkkN+kiwFuYNcb6aJMVoi6BAaszuA98kVOwEPX8z+OFzOvUoY38dIBPmz5H4Jp9u1tKHuJfcK2EEgyjrK84QMTBLrmTtRmtMBKX+bSY73WLvGLsKJl3utfpG7/1A7/zThsG0hZUP5VheNkXRdy9nd2Z7zv6LKJIABWU9dp0AgoVbpuNmQ6BvSOarCtDlpDF9Ct1yJrT+Z1gr19JVc5UWu9I4ZVnPShaKPjgyjjAx7Hs/hc9zoPGu1foh0rWP6IdX+5B9Gnxl2/FrHrdVGKZx7N2y4eojkDL+TSGyp5b3kkT1L1mNebp8/Rxo80jrqwjRNNzylAQshVxrcytcucrH4ofb/L7T3dxN9tkQgLr9MLEKfIjeI0Us+2+5rud239I8pQsFtJBa9WWKB+oX2/Xe3Z1okqCA/SYZcNUr2kLSUugBVWkINp9Yan5ZAco70KQ/QlY0aLqvv+9e0jTqx0OvNkGXaNNBExdzoRoNEmoFzdZboR/sGwngQIbydtisliS5+hVw4zpFhUnXXArmIfCeBDu1t1xeBepSgYjxL8iMfb/eskbSdXKxvAX6MoAfp7M0SDue7CblZJOR7kZCJ58k8Dxcc+2gfuWXxCiHfHyRBDI2fW9u1v0zqTc9j/7rttP1quH43STGhHW/NW5PXVhg9nWOYzh4G7EDqQ4+vlIS+c1DXqjGyfKKJledJg1VDcp5McDaJyyRo9YlOkyXSNhJ9uJ+g55wm6wkLHFT6zFlCL1whxu0WMkS/law3fYDcAGexXcsKMZ9u/z/Vzil1yD5yo4xKgdAoqs9rH9aKJLVfZ8mEMxMRq3ysl8O1rRnRMyQ10EiR5Su3k7vxQYI0p9v/5jLsIOfKMoHgO77HiLF7tH33F2Sd6LPlWSeA9+6BvzgSNcB/iNBP6rMPk+vePCELTxJjpiF/iqwFr4y9pX33ERItP08g0ebHKLNGaa3tvJnQLzvaPe8h1qcHyairEbVF0pF7fTv/TkKfPtXu5+PtXgWc7LMtZILmOZK2ebpd8yuln3TYBETs568rI7oi0S/VWPtqjLq1DMW1DN21jv9aUeW+QftyodN/nX663u81Pvro0UttoxTO/Rs2XF0m+aYuEBoLu8mtPiGUymL7XOpD35CTj+hzLxDKRUW4mWsNw1q2bI6QpRNkNvJlwoieAf6IMHAfp7uV+Bix6B1p9zhDKIcTdPneUkEs1XOJa6sdiILebG09ONHVmLb1nQiPW6VbsafyTg0bbiG3UteAMcvdRL8a5j1OLCyGqCH58aLCLravJhzE5wkZf1V734/G1RC5qNe+dp+LJO1Dzv/r2udPtuucIKvD1LCz5fQ0fH1+SCdslUSNrIrjPfXRIPuuj/6re32eqfKd82q9Frxh68/19CZDvuv/rspWNQ4riOH3It9SX0y+U66UX5vOrffhuGhUzBMGyV5yvJ8ik1wPEdz2RbJW9OfpGvx7iOS3XyWrGkkHkmOqcf8E4aR9gAQDLrZ7MMGrglU6gbWiiIDWMPCrRn4gay2v9n4/aiN654YNV6tsVmqKEaIq7xBz/Fz5/DIxLkdJGpdbV99K1nWeI9Yg1623tGt9tv1mQOiIL5IUi3uJ0oU727Vd7/pVKh4mHG0pN0bsjL5ZdWNA7qtQt61X/tQ9pwnAQIcX0pmswI2GLGQdfB3y3e34hwnnTJRZeqG6yu3in2+/G9DVFdVhmyIRap99JyGXZ7n5jOgbVufoKxjK+0H5W4vP4ufyPxVwJ6+DVc9Tk4PqeYahD/2qHcOuXY+v76uSqMZ0DfUMhvy2f5762r/HQe8YzzvGted+KdepivpGx97onC9ne4E0Vg4QisNkrVky3LONrJM63l7N4r2bNH5F4WbJra2PkVUJdhDZ6XuJENQOonbmDEHN+DcEanCW8KovlvMeI+TulYTym273ex+hgJbbMWPt7752z28hs+lfB/wrMsGwhremiMXuEYLztkBU61DW59ur782MHvQ+91XemAh4NZ7kklWeseeq8t+fG30O9HrJSZ3nckQ1YFXM3ssUaehsJA0Fj50meeyb6PIzNQSrUWOFlGXCsTtIyKqL0UaCP3+YGOvXEnz304R8vBX4bYK3ei8hmw+SBqsRkUlyi2h5hYdJhO4iYdDMtXs7DfwKwXn9AULepECtEvIzQ9ZpdoHVcKZdey/JDz9FIuqbCQNNXqcl/uRMayjbD9A1ml5N6srb2mczrG9TX1Y9PUGXh+nnfRnz946LPNmaZKwRspusy75MjJlJWFYUqPciomaOhNxpkeMJQr/NE/2+QIzBLlJGzSdR7ne397vICMtmoprHuwljZobQb3eRhvqLhN46RkRRNK6vEKDAKUIO3IxBs4/CAAAgAElEQVRnql1jjuQ+m0inE3el3Ze6iPJ+unymrhyQqCskMjvKtkTSw2bpUq7UD6skSjpJRjo1oI1c3U30keOyvT3DJFkFx10Lf4ikZjxAzE+pgjOE7niG0Bsfb+d/hECwf43Ik9lKrn+faueRA12rXBnRXSHG/J52jdX23SzRz9aetnrOJVLObANCHqR8QG5Jv4NYs+4hS8beS2zypEy4Bl0gZMeI8lK7D7n3Gvw6oFYX2tf+v6td20ovN2v7mutEQ9fLh+sjqJRj10ISxrj2XMMQaVg7PF3f9387LAw4DInu38PXilIPO3/9rH+PN+rHYef9atooPby/u2HDVSkVL5Jher39zQSaJgd0K2F466mKGpgQJgdzGKrhAjfb/teAtabvNLnr2hTJG9tEbuCiUe4id4RQFosk6id14mEiBLdKTHxr+k6RaKQhdqkJ1fu/Gdt67FhoEwmplC7nyng51lBjRTYGJMIkMmarNcoreiplYYKkdoj46EQtErJihRXD/H9CJAUeoLsTmPewk0C49xCyr0E2RSxOnyfk8TWEnFm941ZiUXUxkdMK3Z3hrrTjzSsQ/fN5vI9Bu7bImbuTibgtkxsFTZK7Hg5YOxI4rK1XnehhbZj+rOHhirbZNBqMZtln5mOIMlN+NyBLAw4IWbmXoGdYUrDSGKp8XSB1SaV63EP0+5F2/3sIQ9sqDROEblF3igQaxt9MyOBXiPB+zeWQbml0bZwMvVuBRidKHrSfVf2q3IpMw7XrfY0SSaXwNwOyahGMns5hYu9pMqpSI1rbyMQ4qTfKzj3EvKw5Pdb/9zkepVuffpw0FA+RUdbzhO5YBj7wf8Bb3hm0soPlPCvEmH+KqPDzvxBja+Wf5fY8NQH8fPkfkkMtFcvcH8jcon7EaRshI9WG2FjOqb54mFgft5KbpJg/os4RhbbClvRH190JMjJIuaYAgPqmvr8Z6Rw3RKJhONpcFZMhsf7x/l+/66NNs4QwueBVfucwxNVzV0RqLRS8TvhhBrTohIho/bx6z56nLur9Bb5/D30Hw/MrzP52jO4z9A3q/jmHoczDUPa1zjHKdpLkle4k6pRuIr1SSwHpBV8mUbZ5krIhwjZD8qmhWz5nnDQezBbeRaB51aPe2O5hN4EkGBqbL9fYS9bDVGFuIZCGPyY4b+OEAe0CJ8o1TShb0dTNBP/w7vacD7fv38C1URlf++Ok7PWjISKHg3LcWrLfb9eL0gy7h1E1n2WVrt4QCazHyY1fJRYK0RUpMwtkvWNIdMm5af+K3hgO3UogzbvJOsnvJRE9jVPD41MkujL7jXHOGXIXLw01F637ycX2bLvP50hH8l7C8DnVjjlKGEOrRC7Bl78hFjOrelgHVkfD+usHiYXsnvLMzqEpEnU/2c4jTWl7+czkxZolXwENke2D5XvoopCjbMN0myh0pdJMkwlxRjhXyvvN7W9AGpc6TRoCGqdWNFggF/lthJEiz/RRMkejGjgi0FW2RXRdA+5vxx8j+t7IlyF68y/+IZGotZtIUt5J0H3OEEbZvwH+rPRJpe3MtXu9m5BBx9EEMSstnCXnTW0itrZKe/GZByRyD90Sac6XYblKL3cTGZ0mSwiKeM6R9K1lQlcIzFi/ew/Rn5vI+sYHCAfnvaTxadRzb/vNXYTx/ANkZOsTPxrn3A984M3wW+9MvXCQmOtSJCbadU6QexfYp/avxqqgkFSPSSJq9la61U/O0C3d6at21+V2jt3td/Okg75EbPBznjDun22vp9v9WiLxWLnGAiGjg3Le3YRMvVCu61p1kJQN7S4duVr3/2ZqXzUSPQwFvR5y20dgVfYumNWz8xwKyldToeNrQWf76PXL1YYhysP6oRrZ/eO9t5cDBbeNuk40pNFbdw3cSSIkhnxU5i72T7XX4+18LjwVUYJuiB66PEcXTA0vd4BbJSb0ZsJwWCQN8ilCKfwWwTPcQyyQet1u1OJGG3rLogC+txrDVsJAcVG9Wdt61YmGrqMpstIf42EIaeWKinBUPTJLJl2tlO9NQDpXjv2XRILpiXb9HyaiD8+33/0F8A/Iqiu0c9zS/lde6nUql1lD3KShQ2R9Z3nLLlCi0J5vvt3HHJncZ/UO9aVVBeybPirt+epuZ1PleBfsvn5yPORn9vX6etWJ9v5rq59rBNZkOBG6yvfV4HS8IJyaZQJ1NBztmJwi+lIDsS+XE+Vz0Xz1lZ9LATnRfmeC8T7CcDYJcF875yJZlnAzoY+kz2iQaaDIe/dZ5ghd9UaikgSkDCoz8rn9bIVrK27B8Oo5gyGf69TWfloZcuyoZGXvhg1XT5K0AqkPA2L8HIsa4YTcmdA1yejOpvb+KGE0P9qOr1zxeRKM0Xl5HvhzAlU+TYythu9rSKdlmjBQ5ZNrMGvgOhflXVtFY4V0eDYTTp2ceKuADIvOe/5qqIoaWxZwQOrKjYSz8RhZDWiWTFqslZU8t9FgnRUrs1X9XNfxYdGM9dApo2gvCYmGbm3QisbWBbC+7/OgVstxnmOcEJRK+BchqCiD167nrNxqOVzuSmarnFLKd33P+Hpodr1u/5n7x9lWubZj9d7rMXpi9Vj7tr/TVr32WijiS0WqR9FWSH7rMsm9lNM6Txo6ImVuInCeVIDysETINFT1Zk1MgNw1yYVM3vAB0oA+Sxg6IskXyXrOXn9A1KH+8z3heR8ilOf7iRDqa8la17eTdanfQChHuWIz7dxvIvlp1u2dbr+BrANt64/TbO+90ZJB73WC7lyErpxcT06neu8nhxw7qlYjMTUCs5FEwDzGebOFazl5kCgLpBI2tF2R+nliLBaAZ7fGWB0keIvuFvhagpP4OqIywv9LOIB3ELuF3Uts+zsgNr2YJ2T0MjHWKwSK9QDBa/b9nnYdjaSHSaPjJwgk2Q1WNrXfuwtYRY2UH5E1aQcT7Xl3kLt/2qf2gaCEESFrGCsHzrHx8lc5k/bjesoJpCFW76PKtevOlXKsBom/tw+k7Gh4DEhKhajzTPvtA+2zveQuciaFSl2YJY1u0XwdG3W4oW1LdXrdeULvLZD6UEqHvNx7CAPmAVIWHmzP9Uh7tfbxDGk8SkeCLvhQx3uBkE0jHRvJ3eecdyKjyk+Vh7rum6dTN6PxmpVOMaomL96kWq+t8ycFxijCFaKP30gahhD98BBpS8wCH/qOrL8+TY7DEoEEb2m/20zu9vkT7Tq3t/MdIMb1dDvHcaL/XkfytC8TumYbMQ6ThMxoB7nuiZ6r6xz7TaR8OoZGH5TXvsPsXgsmzHqtMcJJe6jd12sIrrfjuK+cW108QyLsq2Q0F3LO2M++us77/Us2Rv+Wteve9zCUVEOm0hNWy2d6XnWS1XOZcKOif769jpfXy+V6Tnonq4rKe6n30U/Qsp5vVQz1nrwXFXA1UqqhogLpd1bfCOi3ashsJJMs/Lx6/eO9zy6X4/qLxrDz22p4fLX32SjbrvZ6kczafQsxkfSop4jF4XlCeb1AJlFVBXwXMakvEWO4izSiDP9AV7nvbZ+p/G5p171MeNUrBNIg6n2cQIOs9/kW4O1H4v+nyHDrz5OogOFw0e6TJIdxkeTTniK511Y4MLRGedVYHu+9OsbKvqh3RXVERJx3fcRRR24tR6oiBPXa69E0lmfI2rkq1hfpcuXUFYbbRamn6NZQNix/haQxuIiKuPrMbzobC8FthGy9gUgOmgF+a0eM5aeIRW4PwWN+TbuHHyTRmorGnSF11MfIbeCtQvMEgQw+DPz6rhjPP2rnege5eL+fRDMXSGMaYpEVUbpAJp25WLnAO6bbCBm7Qib9XiD13mkSpbtMhrNtJtX5jHBt9Gw9mqW8+shzXx9LBaxRzAHZn9NEn+qY6JTtIPphPzHndxJ0G4h5PEWiyPbvBDHmItUVEdYw0JB3lzqdehFyqwR9mNhA5SliTI4QBtiT7X5e057/898QydOzBDqqzGu0OL60+x0QOlSDS+PPez3b7uEkMfai25COqNEfde8kOZ9cr/qGcuVPQ3cDn1G0U4TsO3bHiH68mzRGdSJmCJrMMvG8d5ElDi+SJeWMSH377wYV64vtGreTTtlxwjg+QAAnDxBj9stEHz1MrEuvJipAmZhodScRb/taAOAIXeN3Cynrh8pxzgMr/VSbhfbZbgKgqnaTSX6XyFKcrr/mS0wT9fLvIFHqW8j9FubJsrMz7bonSedQ1F3WwSoZpdDQt3ym8jJqORlVu64RXT0XkUYVQy2ZUieQiRnLveM8lxnPfneOXOxdhCpH6ywZ5qjok1m1Nbx7jK7xWEvYiMJUQ/UCXUPTxbGPDg/IxbuiXtA1hKvRq0BoHKvELpTP+7w+r1uR1moQGaas6EBt/ffraRhVSoUL/cdI2sYeYpK5S9cPE8/5yfb7apCY8GSy4CJZz1YlDmmk2rcnyTJ6S8RCc4UwVvYRyuk4ofBe3a75OLFD08eJRWx/u+5RQsH9IBHWsm8/Tfb9p9pnm8hNW95HyOEiYRgZMryLNIZquN6+q83kOPvExa+/ONXfOn8o72tory8b1ciANJZG3byexpthSehuC2toUlR0le6GAudIw5pyjppjIB9zsryfIBa682SEQWTwPwDfdDIQwFcT8vTp9vsPktz+GYLiM0NUQXCOfydZPeNZ0lmbIWTxNYQM/OMTIXNvBn4H+J/aPe0gjKnPt2c5S6Dfn2jPeZRwEERNLSd2iazrvEhSWdQ1gggXyORdQ9MX2+8N75pcp1wJMFSnbJX14S8q09Vw997UnepC9WdFgKuhre6Vg2xJzd1En50nEgXvJvm0txP6QQBAB0NUe1v7f5FcVzRgvDdIjvTzZPmxNxLj/WQ7xy8RY/tWYpzdCfMOQm+9AXj9XwUHWopCRRCtL2wi65l2rR3tWW5pz2ilB8GIx9uxPpc64xJZh9yxMBzvds8VIOvTIis4dYHRtllC5+5u92c+yhhRitKI4+n29/ukg/Bu4lmPEnP1FuJZHiTm2TsIzu8YwXu27rwO/psI9Pl54O9dTTNwnoyi7gb+APhFYj+Cuwj9tUB3Y5KVdg/KqBFL+xtyJ8uTZELeGdKoNrdhnAS2tIMgq8kcaM/1CkJuHiLR6ovEXHCd3U6AABrjg/b9+XaPi2Qk6ynS2a+0x2o72Us68er69QD7RtG+KgTdRQhSebmwiZIt935TUWlIlGAtg68iCRqODryTss83rVxYz1UNEzk8Z+ny5wbl+H67Uq7rM/mMeuWi7rVVtLuP1l+mi25fJhHKqoTs51ppoE/v8L4rdaT/HBVhH3U7QXLrNF5OEMrkLFnJYDeRPHWZ3D7WQvdzhAI4097vIykdJj5U1MMQFuQucV8mPXiN+R0kCj3e/l8kw4D/jkQvXBDnCITI3Z7cuMDxnyJQ9BOkDCwC/wNR+m6KcCIuE2jWk3R3Z4Lu+EIaJsrbhfKqzPTD2aJv3sOwcDflsz6tar0Vl3NBVK4azdJ5anSn8npFVCuv7jLJR9cROEL2yUr5/BIhU+8iq6z8EsFhHCMcu28lduqSP79Ahjz/sF3zGPCbxLiYtDVLLjTL7T4fJo1e78Wa6U8A7/tW+Dng29uzfb7d035ycXmGWFjHSATrSyTKrjGjgb+VQJNOkcaVrYIHU6Q+qt/Vfq9Rjou936wHraPKrvrU9Ua5qfJ/hWsNu6ovrhCIIqQBcpgwlF5DjNOXCINI51v9Mk0YGnvIdca+8Pwmx4sMSyPwPmfb/2cIp+wT5Jz+eUJ//DBhBJ4mdMZxwtD7WLvGc+X6q+X36iSNwEskuikCOGi/tdSj1TTm6Ua4XNerM6Wsa7wPi3ja+uveqJs1titN6W1kSdS3kLQ7iPs/Q/T//0bKuBHUM8RYLAI/TcqXFLFlYg7fRzjLy4ST/CcbLjMB/M59ce0zRB9/jChh+QViTN/QrmfU1LkurcG5+DQ5TuPtWXSgKkViQKxT2l9fab/XQDdCaoUZ84Aea/e/kaxAdIRMjp8g9NSj5Jrp9UWr7TdBkQli/tRIep/FICDpmrTSe73Z2ldlRDsJ/aGLW5/+4CTTyKtIQhVkyv91YdQYM2RaFwu9tGo0iJ54zW10UbthCF1FKQxvmCCx0vutilKkQQQcuoq0hhH7Beu9jkLVr8da+8h+9jM5U5TfV5SyouLDHIP14Bo5iVRQh+gu0m8nwl0qrgGRpS5ybYj1EtE3c4QB4LioDKCLjpwmld8CicDJf7SCgcb0BLEwXW7HHWnXcYEwsctdxZ4la+0uEUbzEULGzhEL0vsJRf0MsfB+vF3XTTaeaed0K1iN5/64+Hmfr2z/ruUMaUxWuVV21lJM/TyBqTWOe7mbukJ5gS51qz5DNUCqoe3xzsPny28myrEXyTCnYcr/QMjDLxMh+z/bFNf9MWJ8bmm/fZpM5Klz/FPAT7VXE1JFsU6RW4G/qt3XQcI43kGWQ/wosah/+yfjHI8ScnYHEWp+kJCt6XaN327/v4NEoIxO2KdfJhy9Z9r9CBxsacfVjPgrZKKvfVxR5hoB8PzQRcT6YMkomkAGdI18dadjPUbMZZ9BQwGuBVQgdIso2iFil9Fxso783YTBPEWM6+3EOFwkd8KzLr2VPqRH6PCqt80R0dGqDu+RdsxZ4Hvb93cQ8mKU9ATwzSSQsNrO6TOaXGZU92j7fIwwjKzCoZN5nBh7o247SBrkPLk1tn1XkX5bjVBDl0IE10a5Rt0+R0SMJojxeJIwWp9r338E+PfE/BSVdXfKzWRE5hFCJl7X3t9BRDtPk86w4z3f/n+MXLPc3IZTYcT/878T17qP6OPvbffyu+TufYJFC+SGYHeS6+Ipcp0zn8F5+EK7913kNvKuBYKNx9s15kmj20gUhHxsIg10KXai9hr658hx1ZlYJSt3VP2yjaSPUa7lXDUaViOL/ej/zdRuyImuSIc/qBNqhejorXSNQP+q8oPuxOrzqKpxpFFsSMTELY2jvtFZDWszRb0/+cjVe75CltpTINxxblho3M/6FJI+2jve+6u/r2Fmz2MB8ooEVCrMlvJeIa3UFhc9F8BhaOV6KLNJMkN4G2mQWLrnw4SiO0kojU8QuzNtIR0aw2LQLWfnwgXJMXYymmG+lfCU3VRlmthMRYoJ5G6HKgjPpQIy7D9B1u89QCipg6R82MdLZL3gR9txP0kkloiunyKdPMd4WMSgtotDjpssxw5Dfqocv5TxXg8jaFjTsBsv72eI5zpLKtxar7f/TM5Fw/Yibn5XOaoQC9RfEobrfiKc+wBhcHzLpQxvHyi/mWzHniGpFDOEQbWDMLL3ELK+jyiHKGIt33CSWFid+/cR8nAC+L52XwfbOd/XnvcIMTduIwyBLcSiPkmWWpQKVReySWJR3UKiVOoBqQw1SqYRvjrkeB0Q9Zacfg3Avn4cVatybkRSI8H76QMIRviqfIvEXiD66ihdFHtA8pjniDFzt7pbSKqANC0R5y8TY21lFPtwqh13nNwkyETrFeDoK3NXyRmyT59u9/UACQRZoeMAWWHoK+Sucs6RzeTudBfKs11ox8hPvZ8Itz9MIq7QrR9cjTCbwFbt87Uc9dXe66ibUaMnyOiWzsRRYk6ZdyEIp3EqJXArYXw/Reqm726/+36i3+4kna0fIqkjB0i09wTwuv8vdMKz/yXuYScx9z/0YJYxVJ977zXa/dFvjv/VR8qHew+4pnqfJwl94VpY14gJQuaPk/SlAaFzrOEtpxqSQ63Bu0LWfhYYXKJLo1S/jJPUJUigZLy89xk9dwUZb9Z2Q070BGkA+FcRV+gOgpO68qt8r7HrAFWejMb5BDmIq+V8y8SAr/T+IJW7CK/lYOokFoGp7xVQExC9Z++tn51cEXFrY1ZhsM82l/8rJaTes+fZTBcFUglLvj9P9znqOWpzrPpI0dQax7/cbZVQBvvJuo8QSskKHLvJDTEmCSPiJGmAPE9OyAskz9hd5URqLQ20tRyv/FVe6HMkheIKuZGKu5aZeOXit0ggUzp0bpzwxXLt8XbfR8nF9HdJKsqThEJ7FbmxRt+orQ4eXGvQrg75vBpBfYSwzisV6KB3jK0fhvdc61WS7wpdLpz1RDV8nYPONY0jjUboGnIrvc9rRMt+/DIxDh8nFtp7iUXUbH7PfZisgHGaoG+oJ/a014cJ+gftnHcTKM2fkkk3W4jNU5TLWWJefIFcgH+23d93tfv5LGE8H2v98RyxQ90tBGq+SsjTMmFMixJBziMrREDqwqn2nMrEdrIi0j6uXeCqIS0aKj3F46yRPepWaRxGAatOdc1QV5tcdwu5gKvjlW/pQheJ+f50++5HCUf4MPHcH23nerGdfwu5TTYkN/hOoh+9XuV/nicM07OEcfUMUVP4XV/MSONiOwek7lwkAIA97RlfQchOTU7eShhG+8j5YaLYvaQciArajhG662PkJhljZEKv/ek6WAGxSo2Bbj4PdB3Z9UQVjRB4H/LXpQAOSCRVnaJNs0rOieOE7v4UseY8SczFf0FEsO4iI5ofBX7mGwIc+h1iDh4GfoTQCdJ1zhJrwTf9APBEjNf9hIz9OlmGc6n9fgp4/X+OsX+CpOlMkfslGJUUTFwlHIXzJE9fm0X77Vx7Pdqe8QukzA7IShmW5vO9Okw7yTl1iQQNBCzOkxuZbScpJpVmBRkBqw5CH0i6mdp1Zd2JeLl3YEWCVEguijWpA7oGQQ37+Nsayq0LY0VBXGyH3V8N9XqvGlkaDKIOlfukQnCXKY1ckRu5vS7qk6TiE9n22Po8KqCKPNZ+s1VHxNCrC4WToBoRJhTqVPjbYfw0lXgNc65HU6G/iswUfzUxMR8kFhHRkaOEITNLhMS+QhpBcqyeIT1lx9D+lnoj6qIC8PkNT73Yjq+LrTIror1CIkKn2vFbiAXwGFkKahNBC5DfuNiuLwqhjKwQSSTvpcvbdk44dv3P+xSL+ur9u7DVUoJVTpUbjY/+PLQN49ivR1MWJ3qfmTxs1ECqgs8lAqOj2V+wa/KgRqBRnlvI0labCYP1UruG82mKWDQ/SFZqGLTjZglHagX4ACmTbyATa5YJh9H5eo6gX4wTMvR0efbzhPy/iTDcvqtdY46Uw+0E7ekM8Btkeax+hK/KLKQek++/SBj26qdL5HyqIVrIBc/zqj+dZ1V/b2H0rUbZ1IuuL5W6pr7WOX++d56qT91iWZ6pcqVjMWjnkb61nwRFRA2nyntpGsrmBTIhr1aWWiITkC21pg46TIzJi+1ZjhIbqTifnyW42rN0nZ7vp0sf3ESMqSg6ZNUY9eLpdu2HSEDhGRLl1PiHzD+oVMJhTuqwtp5GkXKym3Be63phkYJb27FL5HbeItL2lUm29vOvttcHCQP6h0k+8xeAt/xVJIj6+7OEk6QReQF4z63x/c/9Cvzl2cjH2EyMwz6yupPzeiMx1lIr3NBJKtA4CUpB6jvpRP165gJ4Rk7NT6rHrJL6VifZaP40IUPbCHqLjuqucl862qfac6+057PKmtfSbvJazo9qv92M7br2lQMAXZ6Tf/XhrXzhYlj5wCLMhhEHZNKUC2ctN1eNARMharhsE7nwalTIbYIYWL+f7J1v0PsdpEFRjWzDcJUaMdWusYkMhV4kE+Qg0eM+suPCr9D7Wa2K4PXP090+sxrE0lygu4jUSeEiU/9G3XaQxdqfIif9l9v9/iqJvFtz87VEf3yWNDaVEw3GM8RkvUSWurMsj97vXDvuXjKkBDF+8ySKLeVolliw5ETfSS6cJwn5eIwM1R5pf68gEcljRJju+4lw+6A9/y6ydvC/IFEwE5mgG42A7s56w5rjXcOA50jHoRpVGpUaGXXRo7yXB+kCMLfGtV/upkFU5dIxgej/vo7RYbACxwW6xp4Lis8svUdH4pUEsqQhMUMYJnPtvUlUVmH5nnY+K3GcIcKfUpFMyPolUgaNnNxJjONhIoH2FDk3rpA7HP4s8HqCYjLbzjUP/Efgz7fHc91JLoDnyZrjVnQwFF3DrXJkz9ClLJ2hS4kSDdvUfuN8cw4KMKiv1V8z7RnWI7pVQZRK0VBHSI/ws13tmG2krn51e7Wk4hGyqst5YlwnyTD4GJlboYMyS3JoNRDGifn/6XZOHX/181g5p304IOqNf7jdgzkasyQd4al2jnvoAgr3EwaXO/J9D1GCTBTbMmWuRVbc2Ei3JOhSO+4jpKNgv54hOcM6TBXsMZrhOqVM9PVZtQv6kbBRtHEyedwqTkYKIMuVbiGTy0+S4IiRsAtk+dVHgfcQz/YFsmLOfmK830FSGL+tHX+wHf8IUXVqDvjsV4I+BrEe/BIxX99EULg2ErriFBEFXWrnPUfSDF07BGh0EpzT5vPUaGQFnKozKnVLJ1uHe4JY29wNVR0nmr2ZMO7PtescJXXfODHnXI/U78qSUQEjW86Rc9y8yYS13ZAT3W8igC5wLkIquzlyoww9K7+r4Wk9GAdSo9Qbmi7fnyKNSb1LuHYhrd53fUBRbsiFQCW6QhrV1fAwUWsnaThBKpgVsnKDyUuWM1NY7SPPXZvOhSR972+yfOeCaOJD5Ut7DugiSCrr9SbqS+lx1y/HzPEyxPYVQuF47z8F/Oty3DLdWrU18cnqHIa3Zsl+mycWIWXpnaTBbn+cJrd91SkbK+czvKqBrjFOu9/DRNj+PFnv+hjwrj1x7XsIBft6AhXxPHtIviEkKlJR9drWom3oTGmIOv8caxePKguVLlXP2S87tR4lyyAXBPtdtFxEUOe3LsLnyUjAMGS9OuWQRqdcwwEhc5ZHPEJyBbcTMnKBXByMkuwh0cZjxCK5k0C2LZH2MRLVUw95j2fIiMW29mrtZZPD1HuHiXJj/z1w/wtx7L9v936IblRQ3uHt7TPDvNI2JkmO7yRZM13539b+v0iGi+1H+7YPnlRgANZn8VMupBJUY7rq013teysEnaJbqlRjr85nK5RI3zBSeX/7XIRyI8FnfYis3CAH1ux6vQQAACAASURBVOtIP9MwMWJQqxfUJCvHbYkw4Ez+WyCd28OEYbhElL17rD33rYRcfqCd8zG6QJI0G3VbBbLsQw1p8zbUhXW9v9z7jt731TGoXHu4luO6Hoa0tCmjAefJ3AuBLA3TS6QDfZboU2t2nyXm+VnCyN3ePr+3/f4n2zVOE7SsI4TenyFoIONkzs0/+r2QgXuB92yOcfz7ZJLg/u+LMXwlsX5Jd9RIdvOw7YSsjZEbMdW56DpQ7ZwKEtZ5bYWsqns01neQ27i/ha4uUYctE3K6kSyreQtZy9qIgOeRMmd0fECXPquMrYeMjKr9N9f7UgEUDdHQcDHXo1ghw/HHSBQSMtytwVoXdlFiB9dkCcPjotuWZNGYqh7VFUKxmYhkaH+ZGFj5OpV/4/NMkIaZg3uOLKum8Cp4Kp1txCTzujVc4kSEDDNDCv0WMlFOb6z2h+i5Yb8acq7hVJ0A+9Pnq5xpvev1ENAVYtxmCSPEZK8FMtys1z9F9OVfEs9npQCfAdJ4WSSfSefJxXKpHH+SGK/b2mcfIHmkS+2alo5yEdELVwGLHNHuc4xAHg6TCKLGqhso7AMePpI7iN1PcOvc7OBiO/YKoayPkBs36Oy90F5VKpWqUz83NFm5bFvIuQVdPrTIRD2Xr0u9997TqJtIBaRDM07OO+d05fU51jV5zKRgjW8di+pMu8h/gZiz30GM5REy4/5Wks4zR3ITDV2eIhbVxfabzxML3v0EMnOUmGPWIT9L1jlXpqeIBWWB4Dpfbud4qlxb3q2okgDEBWJxXiYMJh3vK0RVAsiyjOoY+8y+MULk4nYHGaqebc9rv7qAm1tSuc/2r0Z8XchH1fooJ6SuP0/M+UWif40ImGC1QtaKh7hnKyDIfT9GbhA1QfTxFgLB/lK71nPtt2cJOTpC9rHomvJnyUONA4j+OkrubKd8vIKIiHivM4SMneJagORWYrzNC9pMt8awY6fjUNcBSCqiEVujs65fle4Iuc7W86hzjFAIINns50plXI8wvZHkp+k6hDq02hh+JvL6BgL0cT8DIxePk/I0T4z3ewhZepiYO+8jndALJHqrDXM78Pp/GJGCR4D3XAxZ/ZFdcOlEcKqf+LVYA8ZJw1/wZj+5AZR5PRfb/TonHTvX2urAXyadONcBUWznsOM5S+6iaAnI15Mcah3546U/x4l5sYlMXlX3LhL68DmSk15BH2Wt7yDfrO26YKUGaH29RHeiaVC7yEOGu/zTqJygG0autU63kIJkEtoSGcLfTdIAIAZ4IyGENbsVMilP4rsom4pYxaACUIHKTXZyGLY8Q4a9FgjBcrEXAVsu56yGECRqJeVinESW9fTlEFuW6ySZ8aqXWasVQFfR+rnfKbQD1kdArXJxmOiLJeL+HyOMxGnCUFsknu0MoXg+Tkw2HQuNASdepWcYjRCRcjxPE2P8AlmL8xghqxrtAwItdsGEXGwvEgrYpIza13NkOEqFtEIoySmiPNZD7djn2/PJm3Q83AJW5bdWqHPQ+74awDXqUo1EQ2KVtkQ5po8KrXWt9UIClEedk2Vi/DaRHOZNdDmNlcZVQ/w7SOfNHIaabKZ+scLBo4R8bGl/XyYM1MfIpNJzhMx8llg0zPRfaOebJOT3dkJupQ0cI9GdCZJGBMlFNDlogjCebm3fHSPpGfe239xPUpzUKXNkyb2KNLoQVedKkGAbqXen2vN/ggz7H2vfyxmX2gIZEq6Ln2Hl9UhErXrLMZXX7nywGsNJUudDzNkpYrxEyUTjV9vxJmMpgxob59r7S2S950+RdbjnyKosS+QGOzpMm8lohVGSCQJocg0dI4zleRI1PUKMx1z77NF2Hx8kkxgrNXGJ5LvX54UuUgzJYTdypTFUKZv+zqax4/FSfIwO9g11uJZCth56xfWmggfep/SXbe0714/TREKgzsWny+9E6x33w8B/S+Yy7Gjn/an23R+1872LyGP4UUK+3Dr+HwE/9zb4kb8DT5/ITXGOE+MlyPQxko5ylAR5XJecw4IP6gHvueoDdQKkfSG4KFg1TcrNxnYfmwgd9dPt8z2E3C2W38ur95yi+jvplpe0Ekq9L+jKTQVGb1ZD+iUlFlZjzQc2pOar3oRGdUWeK5dX5fs84QG5uDgYe8jszf3EAidK5nbM8mJFHRS8miy1Qrc4vB60ygO6IWwXZvl0Hiv/UsHz/ldIfpXvnaw+q8qmou8eu1p+ozc5TZYqmiWQ0wExGasQ1nA9dDnjkEJreHE9FJn1a60Y4ES6rb0eJsJeUyTi+AVy4hnel2d1ihjvs4Rx0c9MhlwAa/ZyDUHZNG7cMlVjYw/BZ1tsxx0njKMVcrvkx8nNFyoy8xlS+f1SO+7/avfwdLvv3YSMWHO6b3goh05CF5+p3nFVQS6X30lDGi+/rbxXuFZWhiX2ea71aGZti0iLwGmsVVqPTqQh2IukQaLTK/qjIWHUaB9pjJwhdMgx4jmPkTzIHWQk5IPkBglLZNj3M4QszpVn+AyBUItuWWJRY1eUd4KkVnifRiYuEnx673OMWMyXCAPKxD9l8RSh+57r9YPAgnrGfrjcnkcKiZzsRTISo+xoqLtgqxuHycV6Rbe8hgahhsTp8r0Olvr1HN0xWCUMWmXsATLKZ67CSvnsAtFnR4lxfjthRKy2Y1/Tzm3UYi9deVwh9Mxt5TvXoTOkke381InZSCY9mkQ6Q+iopfaZlY7Ub64f0OU9i5DrKNUoXgV9IJPHIHWbAJGf9dcd2vku9o6p4Bp0QZ1RN9e5WstcIxO6aKyRrfOEbjd6bCTCdV5KmPaAdsY5om8/1M4thehDxFw9TfTzzxGRq38NfOk34PX/JTd5eYLYZGmJ2Ol0I6Gz7DOBumfIXS6VpZNklH4LaTQbvar02m1cC7ItkUb6GdKmUiepH11LrWd+nuByG2VRBzmPtpM88c/RBca0vxwLaUBSEGF9dMoo2nWN6Eoj0At1cOyUmkhhJ9S6zAOSngFpXE8QAjdNCN0BcmDuIRN5dpc/kWU5OqKIJnJBLmoqtX4YsHrO0iEkvc8RQmWCyEVCCLeTySkXSGUnJ85dksbJzHCVup6YhrOGgQItV/gAsaDPt+ueJgyzreSipVFcdysScfJaFam7QGaNj7pVw0/UbhvxPBqAOkFX2uer5NakkLJxkEQXjSqY5CASNUs8+/52Lh0dZQpiLMbILbwfJwvbLxCK7EFyEuh4QWbvu8Btb+8N29mni+0eniK4bZ8jHIN9hOF2L7nYKaPen9e9kfIw7CoS4H3VRU2ObUWV6uRWHvtUkT5vbtTtHDHHTpHyepZrE6BER3YTz3o70W+zJN/cslwi2fvIRe5Zci642A9Ih9+KDFdIxS9io8Mkd1Hk2sTCJUJ2zpAL3xFCZuUlG5afbtc7R9CXPkuiyAdI+VO/1XwT5axyyE3s8XmgW6NVZOoCaXyblyLS5rNKs6vRH/VNNZIgZanyLkfd1M2iZ4Iafl6RLQ3YMUIfvEgu3s+TqOtBkvvpWgHp1M2SVKEdBC3sn7bf7SIMoFPkGK+S/OlbiTF7vJ3TsdO4szKBzpW6ZqY91wnC8BZtlFurLKpjjcxVLrIAVqU7mTDqelMRSp0SDUroJpXWSjiuXf3NMWpEtKKJ65HIPqx5/5AGpSBD38mA0NM7iTnrXhfnif64m9yo5E6S0rCvvVdGniN2Ob1IJiYvEOP1FgIo+gVCju5t5xdo+sty/BSxjgjETbTPtZ3m6AIozuFKzYGUN8f0FBldVw51OlfKn02nX5vlKKlrbyP10AkSwNIYP0pG3fy99zUsKt6PYqxnDtfL2a573w6Qr7vJBc/B8rVOHBOEILPHq/CKQD1LLhYfJYRWtOQTZDLZU4RAudHBGdLAvUxm7dcw1fnymV6oxr4TTWFRIE+SxvKudvwZIgynoX2p9MUUWbBcpVrDWavlOi7WNdwmheMgsbi+QCYoaUgsExPRxVwkonrWlfZB6WfDWX3UcVRN7/U0gf5sJ+gay+2+dxAO0hIx1mZUL9Ll754mHTERAR2bGuV4Ddn/dbGlnasigUZDlsjqHuMEenCJ6OsFsq8qv8xWnbhZksv6WSL5yPqaWwiFch8RovsI6VB4briWL7+99746Jia+KV+eQ4NPtEvn1VYpIcNaDYGuR3McZ8tn4yRv1whKlWENTCtlyFe/RDoUZ0mq0DhhoKpfLhMLnyHI+0nkunL89pDO2mr7vUln58joyCWitNVecuGbavclqvxw+97nGiM30NhFVKZ5nMjYf3XrF+v7arQ43mdIB68aS1ancN4vlfeXyOReUaZjZOLyedKIU4+METIsrcPPNbymSHR+veTFvtUQqKizc16al+O4SIyXhrDz/hgRej9CbtesMel6pdGxSlRYeIKQu2MEKjhLJvRp3ApqWBP+LJn0PEPmysyQYXMdmjHCQNnR/hccOkKioHLQZ8jESiktghKG2c+QVCZR52GUi9pfvq8o+Uo5ZoxuNZ0xrjWUpYnAtaDNqJ2uum7UyK/j8gLpZApgTBDOlZUxjrfXrQQt4wgh5weJqNM4sd58kIhmHGrHfhD43o+FE38foX/eSeiY04R+GCfW8MNEucoTZLLyHWRy67F2TnnS5vK8QOim3aSN43pwhhwPASeBH2mglSWwtX332tYPD5Dgk8daEUR9Mk7ojc+0v9OEMzFDOhqQu8KKLuuMe6/qjDqHqxH/N+V8/XXbdY1oYXsf/iskGjvsBDWkUpFSSC+4hp4Nqcmzc8H4POmJaVx9mRzYiyT1oSLjGhgqxRrSrhO5osGUc2hkT5NbaurJqwzlWh1txznxavJKP2RejXsIIRaxmiBDx4aY9DxduO4ltwC2/nE1sDSqKuJQjev1aBp1GjQmEToufvYMGa4/SZY003lZJZRKrd8L8RwuENsI5fYowX82iUKE+3nSYFomS9uNE+P2KBnpeLQdc47oX8fA7V4tWScnfoJY9DzORNDDhGLZ0s6lknQ8DpBh6KpA6uv53vsrvVfoynr/M1sd80E5prax3ut6oYs6jqdImdVQcu5CPPOO9l45MdHzOIEg7SLRwzrXlH/RP+e/ocjLxJyqu5VJLRsn6w1LOTpNGqIi2E8QtJ33kYmp58lyif7GBcOkt03tuofJxMGPEIvkH5EozqB83x/rGtVTt1Sqj3IpIiWKeStp9Pl9jYoZIaxOd41UmOewXnQOUc263gjo9CkKzhnrYF8g5OcEaVicJ2k1kGOj8+lzueZMkU6RwNAxwpFyPu1p11wkqQHTRFmz4+03RhiUceevxu/Fdp9XyOpWRlAEEQSXfHbvSdqO+TVSGut6VN9Xh6EawzppVmyw751L0F3rqz7pgzd/E015NGcAEhXVoK6IuhGrRTLp1zWrOuRPEQjsRmK+HyAc3weAnxkPefjnD2V5uwcJ5/gAQeOAcJJvJxJVdYrmyLKqp9q1TFqWv61Tf4zgZltVyGjrgAToLKqgXQGha+reFsr+GLFubml9dIqMSFwu7yHH/AK566Z0vI3kfJsho3/aUDW3Ql3j+xvJ1M3UNly9enXNLyc3bLgqwumEqw9aeZZ10o6XY/2/cmiWCcHVgBJNqtUWFCAVmuXeqoHq4FTKRDX6RSC919Xyv/esEtXg95wVYVbp1VCiXptNlMTngDTezhIC6zEaD1cI4fNe5ghFLL/YRaIWMK+oV0W6fYa64NjcJfDC1asbhnz9srTJDRuuei/26QKJzm4lFootZDWKuljXsa1j5UR0odCbriHtJXIzCeVKB8XvrZRQkZUL7R4X6VJFdAQcY8fdc0KOz7D+/npoo5KVyQ0brg7IbXgNo+t4QybTVfSxzisTQit1yblYEVL5s1IXdOKMgNQKFBo6RjpmCGTlSVIvidLU5Czlbh8RPZNqMkk4W24Vr6Pt3BcMkHtslM+qIcfpOkBes+q4Pp9Qg1hKigabAIC8Z+guaH1He7IcW51/v6vzYZQ65ZYNG65W3uQwpMo+qYu3+sD5Kl3CJGMRPvunPp99ZdtNOlb+boo0aJRLee+OqXLnOnaK7LNZMg9DGdIZt2+N1Dzfvp/p/UYdu1I+q/zlSlGrrR9SH/ZZ30Gq39W1/Xpt2HVGqVPsR22M6gwNSBmyX5QPk5OdjwJm0oCkc/448GOEMfwMEYn6MFEv+kOErtgC/Eo750HCAHfcbyNznyoA51ytttG29t1ce91J6IMJQrakvukMOIed8zrh6lPzuvoyoZ1TI1LmBkzRtTfsx2VSr9ZIjtdb5FpbsUY9Kn9+LVkapU4ZRbsuEq23PNX7TOUhb1SB7HOoFJAxupypivZY41ODcwdRiuoB0is33A6ZiOYmLGOEoqoGdf8ZKppiORh5iX0Pifa9HqyJhjvI0nNWBhFF0AAwZCGKBenZy/XVILASwWvIjPIzZOar4dot7R7kTSvceqSQHO1N7b2f9yfJKJuhR8NOysntZBkoF67KcZefOE4mbh0gi7fXncVcPMzI1/FxDE1+mCI8emXG898NvJk0pO8m0U/7bD8pI0vkBJFvKt1ApFvkaV95lhlynA8QFJZ5upUDKPc36H1eQ46+Vhmu4TBImpDUFY/rcwQpv5vpfb7A+jT1BqSyniUWKnd0e4joZxNelJuaEzBF8luNSmksHyD64eF27lliXPcSeqXuuqUOguAwLgA/QeitzxPyW6NWIueQKOAyEdGQsrRM8Gi/jagl+58Ix86yWTuIHdC+m6wj+1w75yzdxDkXKrnIolDQLe3nPJADbdL1MkkfMLq3j+SPKzfmizg36sJW5aqGZNejyT2tjotoqvNisvwvdULZXyWpXMqd89Vzq2PkxB4g+lkD6xwZFdnbzmEOzAqht3T8NDZ02k6QOmkXWQ1Bua/hcg0422mSNral3cMM3d0VHYdJQseYSyJiD901sG8Q9z9zjR5mVOtwrGU0VFDEdX49m5vXVFqD86PuBTHd/lfnLxHrgnQ9qTYPkeuVdbq/QOiEPyVk6ElCp7yRrPyjjLoeHiLoE/bPvwLeRtLWzM3YT8jpvYRu086yYk9t9q0UHD8zl2Q/CQCpH7VblDV1bF2PjYRdbp+JeO9s15ghQTuNdtdLa02rp6tDUmX86wF9ru2GSPSwsJ2KoiK7lYsEXYSkHkd5X7m9A3LHqf2kF2RZGY+vHpgl6SoKLsp1ie6uiCI4fYqDKLn3rGEtqgBZsmicRC0VOJ+zomMVHfEZ3OZ1O4lciJCKbNRQ9BghuHp+p8r5Kype+9O+nqOLWtDOOUoPb3rDhquGtJ2gNXtbpWZ/iaLsIcZauket2tCXpcnyvxOxJrC6aBq+sk64lQkMrWpsi/jXcHB1OlzsLE1nSLaf6KhcDUNfbtY2KlmZbjpFw2+erLUMXZkekFUKnm2fV0RD5b2bCHlWnugq4bw8RvATNa4eI3mf0ofmiMXwXeXzLxEh1H5FlVlSZynrK6RMGU3SQHqwXff3230+2c6znzDW/pRYeE6TZS0H5bwaytBFkiFkVdkcI6M2hq5FoOq8G2Yw1VePUW/Z7OuKbI4aiXb90UGoMtLn5Wq0CW5oTM0SKJ7ons/lnJUyd5GsG/4c2Yc6wyfo8lRFLftzvhoVy+WYXe28AgtPEkaYVV88N3QBoVUy90djXtnT4KvNvvE8tVW+/dfS/rr6bZRI9AQ5tjqew2TEtR3SoVXfazC7dj5MGLCHyYiU1J0/IeTpfyccqycIhPoftNc/JmgfXyLGbXs79zyhC+6kuwHUGWK9v5XcXfc0YRcYEa1reY2InyajtBMk5fZs+U21GXaRZTWlHe6gW5HjDe3zmfbZY2QRCHMUIGkdyqFzbrHcc9UlrtH29zAK0NcdEr1KIgCV4+wA6i31jZjq/ULXc6rKp/JVTxMln/z/MJkMo1J5kBi0g2Ttyy0kmrCL7q5Nhr3kQsnVkStpSbkacp0jFzAVsxzrg4RS03N7hDTEaofq7V4gS51dIBZKN1ERURCRnScE0D6RkH+c9OpUzrMkYtTnn+v9iR65uI6y1fBPRThE/QwJzZHOxQLBs++jaRPtONEykV1RmgmSr6fHazmnCZIXJqXE8+ksVaRXo2lA1vWcItHr/e0+lsnEP1FwFZdtjEw4FQE9SO6CZlb9fHutEQPvh3LcVPncOVaVogrYfuv/MeS1zsP6fr2aSlM+p3PMebmjffYQid7pRG8knuMOcjHQAd1KcJ6XCJk6QCwif0BEthaAX2z/XyQWR5X7aWIh3EMYzr9O7j620M5VDTmd3wHJpXTeTxHy9xYiynSR4DrvIxbaNxMotP1+qN3DQbIO/o72bH+f1F1LJMqlLFjHWAdVXWb0axuJmELOMVGhGuFQV9TIjsfVBXiM1LujbhX1r/QsSJ1Wn03EcYacq4Imp0kDckDM00lCZsbJjZosiShVy9+oe2dJ/S9CONHe309u0rWPrPRxJ8nNHiP5z+o1dVWlJO0j154lAsSROuL6toOQWfvB9bfm8mhc1mRdSD1b9YVIYdUZ9f8+UHajNgyAG0UTXBFkcv7UaK5JhT6zTpMOV63OMSAM6A8TFK0PkImb30rM7fva9/OEnfJJMmnwZ4la0bvJeT1OVvJ5G2FAbyW3+p4n6F/PEOP1BWK8XkfqgEkSdKvRlmoznCeMe6O4s4T+cj4ofwcIPWpOiPNnNzGH3GvhSUK/LhC2lxXa5kj59jOBTZO7jRoKkBnpsv+Vx7r234ztukj0Lc3Du0Aqs5oYoYK6EUdqGGot0jJDeo+Q2dSiwnVXoCuEMCwTAwXXemdOdL3QsXI+Der+/VQKis3nqoX9VXb95u+rp+/vdxBe2R6SAy4qVvvwfO+56zUnSc+0IhT96/fvXSXqYjBKD++bNmy4ukguZJBGof0owr6R3JDH4wx5Os6rJF95hug7UT7HTy6hraIOhvxNmPE6FZ0SCXXr1k+TFQiMROwhFIljK3JeS4N57roRwc3eRiUrcxs2XFUerLcqqjdNVugxKuN8hZRzIz1W1zlALDrOp3cRY3acWAjeQCwYHyLRu2VCno6SUSJ13FZiMdNpMyRqcqP6z+Q8kZft7f0iuWi+ut1LdaB15tU9OuBGcnyOGTKnQAfVRCH7xL6wf2pkpo/ESSdZKsf6+2oYqUsrgm2ugfpE/u565FlAPo+6Arr9UY+xPzSu5ohn9rkrh9TjK6q/nRyfGgGE3IbZUoPWFL+XKG9p8jPlOMdXhPrNRDUqK3XMk5U5XEcEXUwunCB31zxNRmXHyvdGymoEoY6hfdSn6tQIQz8S9HLqslFHtyodU6BGcEeue6Us9Z0KQZ/zhHH7GF161Rgxp9UNcu0PEGMvDfQ+csOeMbJKx1FSflcJZ/rz7dxVBypD0tic/9ov0M1Tq3N3lnCkTUKFrm0zRzqUOlhnyMi4TbmZL/1yjIyqe27vQ/3ptYwQWrdd26Xq8H6UwPZ1hURXo7EaC77XSKsoqNy9PgJWka8BOfgKv56L22lrxCzTVQpn6W7QUrNUa9KhtVENa+rxV060SF59tvFyvvpshlX1BPUu9cqqcEDygvTQFDoXZtEo70OPziL9m8naxGMk14jyHPatdSX3lHP6PEvtXkfdVFT2rXW2a4LTZro7Xqq8z/fe2+dSO3aQ6NcKYVxXY1V5q5w4vV1DWlvb9yL4tHs5TCxOTxNjdTdJ+bAvLTGlfKp8tvTObZjL96LuGiSifX0Euo8S39X7vB/tUaZM2Oyj0R7vdSBlx+a99NHvUTfHbRsRxbmDzDdYJOkyGwkEz6iAzzhBcI0X2vuLxBjOEfzjGSI73v72uT9OzIM3Az9Azo039K6xiwhrztAt86aTBxnVGpD9Jor5fxLz0NJR59t1d7ZrvLNd++72/t0EWvUAgVzvITdHuUhuAVyRxlmSg3iF7hboGg4a+yLRZuJXNLcilSsk9UMDQR0PaUjUqh6jbuph79dFV8TU/qn6fyepjy+QNb4Ptd++lqxooEMv9QZSbo6S6OMkyUWfImk3OhOewzko+un64uttxJj/abuW/as+r9GBM6RBcqD9VgPQ31h9wb4SCaxRu1rvvvar6+0w3jS9/+v314ty9dt473XUzWcakAaujp/RI/X/FXJuuE6L/E8QRvGA0BcQIMteQkdtJvImvgN4+hvhvaS+NT9rnBizu0iq19tJjvQsuVHKbnLNUs9oxCqbRipq9N81ynXAKKqVxSql1LWv9pV6ZppE7qfJ+XVXu99drV/eT+iqvQRSb5sjIoeHSPtvvvX9EhmV1biulVJqdOxmbTfkRNf3VXkaNqoTsXJ6PUbEwtZHrisiUCdo5fxC8pxVTnrt0gQUtD7K7PciPCqTiqZowMJwDhWkUHsfhoG8z+0kWnSOLsIhWnKFmIwn6XLGNR5EFaCLllSkW9S69nVFviuCZzhWz3c9MuldiDe1e5O3bt/7jI61DkpF2WtEAVLpiSbIzdpCJqiOkTQJZaMa6/bdRUKhmBF9thwHmZ1cPeUx0lMXSajOpBzSmh1tctfN2kYlKztbdMtqLTX3oKJD/azxyrszlHmGdHieIBfDbe08LxJz8bfJnRJ/kED/RIwmCQP7HLGYnSKTZ0QHz5LGkYiLqM2+dozo8WS7ttuYXya36z5KhjVrdA/CmTjTziUd6TTdChJ1oa3RvKoflst7kVnvqUaIKiJXqxQJMtRoTR0TnWDHYj040f38B9cg+7d+XtFp1wf77wJhBDxJypd9oWE6TyadLZL5FK4vtdShfWyOzkI753YiMqLho37ZTYzdRcLAeoou17xGyQzHL9PltU+QDo3yWGUBuoj89SLFVc++1EjysPcv9fhRItGO9RVyR1ydX8eoRh4EEaqOdj2qc0gUeJ6Yn3OE0z5POOO/T9A7PkjIxhPkWOnEunY9T+iL50iAiHJvuwjbwMod5l94j/X+vd9+xF3dNCjn7tsSM4Rsz7ZnqhWwjN5oZzxAAEx727HHCP10gcwB0bl8uvftBQAAIABJREFUmq4d5jn7Tlal+9Y8B2Xm6wqJrqhWRUJ8WBO3/L5mBHviyjkVga6KELJTDV3I8auerIYNhJIRsaoTwvvzd/KYq0dWKR2U143lmC3kQrqZQAI2kQrUsOKmcnytgOEOh1IDVgiE5E4CgVokJ9ArCe7jAhnGmyIm6V4iCWWGNEDroqkBV+koGnIV5V8vlHGC7Lt+JQUVyyVCkejcLJOLGaRiqOHbjeX7cWIyV45Y/fwMOc7KVY0E9CkuryL6XgVq9EPlNU4Y3TpLyqiGM0T/7ibGfYYuYuZ5lVHvwf6inKeP3Ez1jpuga3iNl/dep6LRvmfI6+Qan4+6XSDu7RSJ9Dq3Jgh0+hGCX3pP+2wnIQtW0ThPGMD3k7kT+4lnOkiisXOEsfLDwPcBe69e5c+u/iIX27lnCUMGkiP9QHt9kKD5iM6IGsktnCTk+Gi7jz3EfN1OIMrykV9Lci/lVstHXHwV/FuyMsqr2318B5nANmjP5lyYIzddEv30OFFPy+4p6zX0WufBDKlv1NMadM/TjZ5MktzGCkaMuqnT6n2rT1yH7Bvn8b3EOIrW7SjHHif5nA8RYzFGys0i6STvJiNR7kboPfj8e9r/V+jm8GjU1Tl6qH3+ScKBtLrLFKHnt9HVX669gkDqeL+v0VAjEuqOCgbVRV6kuxotfWpgH3XuG8QvBTVc6/ejaBqB9st+winu8241OOUUV7DN/Ix9hExsJOTpPEmxWCH0hij/J9r/T7bjniFzaQYkKj1BzKcrhJFd6+PrJFUj9wy5Xs61a7nuGyXSya/Rjk0kDUyduq0cs7mcY5LME6pOqvlvVwhbBTIp9zDJPZ8nqarL7Z6NilqhS3qb969uuaP9308mr2vbzdReUnUOlZQDbtNIcVJVRdfnGNfP7bTV3me+V0AqT1He9Hg59qXwT6sH76u/9Z7qufzeiamh2r9n6Cbs6fHJSfMe50hKwQXgnxCTT09QfuQ4SYl4jvTgatjD/yvSMFmuvRayMGokAAKJhjB09IQrf7NSZla59j5XyAon1QHQWK4Ib/09dKMiq+UYketlErWq550mxudZuqGyi73raUzXSInPo8HvGNUIw7A5cLO0UcnKtiYnzkX1h+M13747ReY9VGrXgNzQxjJiR4kFb6n95k+A/5HMONdA+al2jj8FfodEW6QFzBNGlk3n8wgpm2a+Gw3R0NEpO0AY5tJ7XPxMuNEQk+7zZDvX7va7FXKTEJ3MBZJPWWWqH+WDlNNKxXA+2H+3EcmX0NUdthrlskY9JKcU1ken9COhkAu8KG0FcXxvG5COjsl1UjEmCcP4FmIcnyecIPtZnbKP6CPHr9aotya0rwfbNZ8k9xjQGBYEMnn2OCGT6kojmcokdMd7joxM9HXgsOhdH1GFa9eFl9LWWku+WnQaRicrt2zYcLXaIjpPcosv09X/zotJuntBVHtEI1s0e5bQSfcT4/tGQnYeJ8fNiJoO8Kn23kjCePme9l5U18iorUZg+lRQoyOQa05dh3Sia7QcEnCqDlmld9XkYfWW7S5CZuVTm0OwufxGuRV518g22uu9ilxLWevbNF93SDSksThJ8kBFP1wAHTArRnjiiq7VgdHjqUI9IAuJi+CqCPSgFKiK7A2772ps1wXCiWGr3KKanbxMhukGdCtDiProTV0o56zo4gSJFqy0Z5Nfe4hAu6xX+ghRSWBnO+Zhkss0T9I9fNXog+Q61b6uE+C6g/wyNkOpLmyVQwrxXNsJQ3u+vddThjRW9dAfII0RyLq3FYlfIRYYuciiaZAbV+wkxm8fXUW7RCg6a4F7fkjE0drb3sOt7bvtJEowRRg68s7MAtfzH+da7jJDXsd772s1DxFDDcf6akitIoQDunOkz4muCD6sX51o0ZUB+UzezwoREvSejEj590j77s/IhOQTBPK4QtIuPkZktd9LyMXPEyiKEaAz5KL348B/Jp7/RbKs1TRZLk+U2nGeINCu3STf0byDuwiO5Pvb7w+RVXfuab/fSyxAz5Bj+wDw/7Tj301W3RgnF+UZMrmpRmbkdtb55hxRBuqc1Bizn9V/q2RewaB3bEXt1qvViM00KSMal5WGYmL2NFltwO9eQ/T9GWLe7iAcibl2jKHzw0T/LxDO0D6iRJk8VetHzxAyYRWOA+03K+34d5TjJ9qxq0QlEPtUJ2yZ0DHOVx1178Px2EEippDGSz9XybGvOUvw0setAgWer/+Zn1cDrG9Qr2cTaFGHr5ARBe0Sm5FR12+fw7VhlpR958Vu0vFaJCtcfILQV87HOgelds637+/j2t0yTbB3/TIypN7Xua3AzRI5p7Wh1KdWPKq0LY1WHblJMsJyN91oxDyRIzJN6LAVYm2cJRzISQIEfKRd0wh5BUIniXkxRjikOhY1t8FcA2XX69+s7SUj0bVaREXcYLix6rHDjumHj/ooqgki1UvU26pZqV6jGr71/H3ke9g9eVz9vF8STk+23n+lrfT7RhRD3p2h6jlikf1lQkkepbvxxgyxsG4nhO8YmS2sMWb9a9FZ73+t8aivo/TwFjZsuOpiBvG8Oj1WNZgnQ/kDsoRfzTCuUQIdhp3EAreVRMN06CboVg2oiMNq++0i2X8iiv0MdsgF2hCrCITZ9x8jlavnNIKhAybPVM6pCS515z2drmEL0N+WNuodC9UhLmYiMc5/lbQhxLq74G3AbxKblYgOVlT4TwgaxesIpMi5Ws8PaaxMtOvsIAzcZ4mxP9bu7xhh0Jwix1QD/zmS3ywC499hwpASrdKBE738A6LO7BdJJF6ESMqJIWOpFKfoJhj7bCvlM+VKdEqHoeoCDVN5kIskyr8y5PgZulxjdc6oo1t1TaBcu4+U1Qipny8Tzs7TRFLXx0kD5HA7510EsngnOQ7KpgixJUkhZWyJpFZIobuTSEjbUY5Xdi+Q60FFh3UIdMg16vuRLI0kq7u4Ht0o2rXWutv//qW0Yce+lPOOev2ZbHsUSGWw3rHJsaL9K4R8V8TUMfS9kRmjWEYANpFOes0jcB6o086TSckrdJHwVRLBXSZk6yRZAcQoVaWgwrX2Uq3AQ7mfKrsVRNSxPELaDQJVrsP1d1YVc61VXq2oJFjquZTBvh1SI+VXyAhibT6b6y18HSLRm0lusP8reApO34CufLW+IHhsTfioStLBdyewVdKoUXA3lvNV46saw4PyJx1FY0fvqf7WZ/FZ5VMbalkmER/5UxpUwzqx8nrvIPh3JwlF/mVisX4v4RW66+FT7RovkIr1Ihn+MKmncmRr39YxqChnXWxG1ZaJexWJPUgohtMER2qeQII0RCD61W1VqzGwmXim80TI7Fi5Rp2YbsWrh18NBJXHZrq7I3qciEM/DHwrYXh7nMjGZ0gumRxu/9zNTMRKudUgX273sYvchZPWL9Ynryhyv4rHbhI1q1GWOrYa6BXN7kckavMafr9efLSKEGqI6oBMEEiIyTzyRl9LGCiV9//ftf/vpCzSwK+RSYQfa9f5KcLY/U0CfXk9ycs/SsiqZfGeIPrdTPO3EuO0SOw0tpuYx1fIRJ5x4OdIStZRQs43ESWsrKyzgzCqZ4hase8h+YGPEOj1KoGGizK5UFkHfUAgq2PtGWtkRRnZSnK4acfZ9/a3zp66zeeYJxd4+3Webgmrmtw06uYzXCHD4jbvYRuJ2kPMM9Fo9fRH2nfjhB66rX2uA6QRKxKoDjpLzusFMiL5VoLD7n3sIpIJt7a/iiqriwaE/LmO7W6f7Sb63MoN7ybG+E6So295O5NqjfjW/qioZT/itdr7fND7fq32tRxLuV7//1E09b2ASq3+MCB349SZ1IE0elkpXVankIIgHdB500ffq972HpxXzvmKEm8kxtk+maBrlF4p5/e7GmkyP0NbR3tohjR2fY6V8p3ldcfKb42Ki2RvJfTiWPm96Pg7CIfUSLLouxH7QXtW2m9m6dpLq4QBPUXMvWF2zHpHMF6u9pKQaCeePGXoojlVofaR2f96Lq6t0jGMx+t1KhfVVrld9I7vf0fvmPq+enO1VYNbhNQB1jDq83P1Mit3ur7OERNyE1kHdpEQyFPtmFeQqLvl++yreh9eC9LT7bc+AkB5P2r+oqFtyKokOhM1jAUZQnu6fW/IWtRduarebUVw6hj2uaIVqfI7jfPzveP7SIrG5AwZCai7ws0QY/AiORdsOn/07k3DuiIMNbO+euF/W9qoZOXvFnSxj6jZ9/LljLzsITdUMdFnsR0rxcl+XQb+JfCH7fvTJKq0vb0+0H6/2P4/SqDF04RMuomCY7yPLNf0/7d39iF6Zfd9/+w8jDRoGEtITHeQPJU6XrGL2MXxsq7qjZeNg+ttjGPj1CQ4dZu4TdKGkhcaU0hfQt8ofaF181LahrRpg0lIcWpSTIpTE3ex2drJYmx2K7xoLVaMV2gZJCQPI2Y1zGz/+J1Pfr979Dwjyd4ZW8vzg+F55j73nnvuuef8Xr6/lyNyY4zkCrlzaUVhTMCbJTPZF8jNMx4lFbgbZPykpFdH74gokQLxEdJIdbxEtOBWr5ikAK28o+ZVeI5ruV8nFYnba+9W3TFX3lur+/QotUpcXYPyH8EJDbQfIIy0C2SI0UukMeF6lN96L3m/fYEMLdPrVdFNf++Nj+r90lulfHisHfsU6bkTvPKaqoT173McjVNu75buBrUed/5e8pSKplalthoVpwgD6iq3Ivg9wluT7ejO68d/i+EcFHCTv1evMYQxptwzbPCVrs9V1o3rp/pAjY2unomq3Hvvuo5d41skUOixK6XdQ8TaWCd5r3rgtTHt1jVK6esmidDvMKzZ3tMbDomGYAgypqoYiGJsk5Yx5X/bkLFVq9ZqGBCDKbObI3cI9LsoRLWubX+7tFmR5d0We7WARHt0s8o07UN9Hi1GUfR67Ghps8awafF9iFi8v0AI3i++9jjvBj7fxvDniZqUdfcgkU+Rh2WGRkCPTCoge0RgPyy8I62/7yfiv0RBVXDeTVigRwhUfobMZK9eiRrr2WdQK+C8psYZO2ZVSbfUmUqr5x0hrGlRnaXSB+eCISK1LJDzVtTdOSMj1WOySNb41oDwvvPE3NgkKoMslN+cQyvlGRxbrz1V+uj3oySybvxbX31Doe749Ej0fngrIBC1JTJMZ4VUJCyZtFCOWRLygXb9IqHcvoMoMXWgtXOMQHBPEzuMqfTuEArrWeBH2/0+SQiOXyXQ6lUCiV4mFJanSIV5kVCuHmjf39z64VxzXr6TXAMjQvF/mFjz1hFWmVsun08RSt0/a8/8RHuWG8BPMFwXoqAm7NgHQwU2GHrIRuT8lUepyIuU1h1FXUMjMrdBwepxeWJFQPeaRM9qMjXknHV9aKyeJvn3R0nF6jHCE7BMbr4iIm0IhcrDKXJtWXHIGOgzrY1XCU+Z3iXd8aKCc8R883wTvgwHqgijvOosGTN6lJhXp0h00DmmfIEheglDOdsDSOMQ5UnyYRwgtRv1be81Ai1tMqzQVfUTY8d3iHVcy0PWyhbKGmW28/1hhl6+WjnM8V3ovquc1vFzna2Q1TesAuI6qzuSeqw3BPqkQXWD+xki2odJ2ej9Z8s18gf5kOcKDs6RlWceBP4zocNcIebz+0i5RWnPMo3zZJ1pSw5a3cyxrTrgvUy7KtEy5LojUkWkq9ICQ/RQUpmqFvg2GTLhuVqBFUVQMZlhqNBWl3U9dqB8H8csqrIJOfkhlaOb5EKDYQa4C2WDIYMQaajGgsbFFokYHQV+8g/bRSee4Tde+wS/2c79yaOxwB4kFtcRYoxPk0lOtlmVepkF5XO7+9wPWiAUl3PETk9uAHOVdK8tte8vkAu1xqhVxr9DLFgV25lyHDLx1MV/kGSmojZmTbvDkqEx1aW1zTBWVuS/R6kdb0iLfIHcjlflxHXxKJk8qVIrMr/e7uH2v5AuX8qxOnfXCcX/5Xbusfb9OFm3XA+GqGjtv32vVWcqLbI/dJUYg7eS736WWDcnSUR2mzCyzrf/f4JIzDKpZYlQht/M0O36VmJc19u9vkls4f0BQlE9T3oUvudvRdvrxA5y14h46n9OzqszZC1y+YBzZ55EMk+1fj5JujovlXMXyvFtIjzoKvBbxBr/IpEA6Y5gIzK8y9CMJVIB9lmdp9VdXd+tPM/5Jx+6SSL9c+TOYtWLI2Agv3MNGOe5H1SVdp+rPp87Bq63z5n26bpzG+WPEmif4V9WGRiRiYQqOWfId2ZcqzxknVx72wwT32uY14FybLWdXw1Wk1Y1gjToVeZVrM+RCtHNck2Nre49jzPdH4yXBb2S3VO9Zty5veE9zrO7HyRA4js3B6UCcjVu2bAMqeozKt3+vUiui20ypFLlVf2klpF10zMVdHUI85xOke/4m+Q8rIq3CvuDpLzS871Vjmngeg9DAJ2zKu8azcq34+V656Dl/zbb75dbez8BfO9MlpA0THKLDJVcIz0p58ndZ9famFlEAIYytYZ13Ku0qxLty6qWlrtkyUAgF3NVdCaFV8i8DVrX3VjdX7arglhdKuPcVyqYtl1dEf1DGjLh8xn3XF0jTmjPP1R+0y2rtdmj8SrSCjcn6+l23f95Twj0j12C/3HfR/jHnwrk9vGrkZSyRMTNLRDIieWXRC9F5lXcq6umov/VUt71Jb9OpLvG2DKVIZnbS4QL60b7fo14NuO/ZfjOpZvlehPx/jTxoBy7yhA9si+OgaiOi1Umcp1ULowj05J3nGvSBO030T5aGyYYeY7vbIuM9dY4dN7OtDYs4aYSoBL9cvu0zfV2/sXWX5Md3TZYRq6bW4ZehdztDKpLt/n99aKr7V4XyaQfCEZb+cBpIhbaufD9xBjotv1pIkbZ2PsNYtyMtVZR1+34V8kxPkYo1k/8x7hulUBNbhAeob8E/Auy2sMyGdpzox0/Sb6XWSKWe5lQeq4RhuINAi3Xo/QM8R7kBedJ5WmLiKl9rt3rZuuX9zQm+gpZJ/18u06DW0PL8m+uoRqqYVkvDaxNYj3WMDzKe7lB8sMdhsmFe021uozrtsoc++V58mVDAR8ivRGfJcbF92Mi1xxprCv4nyWR6mukl0Tl4QIZdrFJvGt5i/JyjQzdsW9uJ25lAvmLLvQLBMJ3gVgf50kQa530QNV5B8nj9ShAIpw1RAduBQcq7+oV5TtBosedv98gTq3tL5hxs/05Dx5r515jWHlJRFqj1PHaKO0pb20XggerpK+TCXebRF6FoX7O023SQPtqO36uPMNBEngSiFOxP0GGXNXwN2Wpstd+CxLUcDC9I3pwX2y/rRLz8US73rCSk0S+BsQGVU/tRH+PtOf7DFmX2oocVr45RlYRgjQOz5EApc9QQc17lW4bzrFFKgqQSqwPL7JVlVd/7ytISFXB9hoFf3U/ypRUtPs4ZpVWSEtLF47t1371jL/2rXfP2sYcuSBcQFV5FYmo8a6iNdvEbkYQiMiHge/7nViAHyIW7S9/MBIM14ikwxEx2VwEPqNxlTX2ujJDx26/lOaeXKDvJlEvS3+9Sm4BrsV7iNzVsApEhY7vzHHWgKsuZ5ngdrm2xsc6Nv5fUZnDJPPVqLtBMjJIZVdGWcffbcghFfnt1sYywWhkGo+QyojPprK3SSrPoq69K7DW4lSRfKS73rrJc8R4a4xUoeoz1c++Es1e02GCQW8RioLMtgrzGkeuEvszhLLyJcJYehr4wR8PJfpfw5/uzPkFYs0tEWMyW9p4pJ37Cwx3v/wYoeCeJd7lceBXWl9niHuI+IjKujaX232cG4+T5QdXgP/QflsjFHUNQdEs3fNfaOMiKrrUPvXkaPRZwUOaL20eII1S/5fvasTV9WIIh+gVDMEQGKLQ0n4hjAIbJnF6b8M66rp37WmYuR4fJ0J/6mZYGhEmJmvYrRHr/6nSlu98h/Q6HCQrKTlvVQ6UFYdJ48WE6wNkzktNZrzcrv95QtlfIRStDxA8ZI1hVYUZYo33vN73Xj0FledIvZJbwZYaPjBTfqM71zb309s5iezzq8RYCqLoTTpH8A7XnO/qTSSyfKadt0WEcGiYabAqhxxH51iVzzV/aZtAkReJ+WI4yWVC2azGkV4OwZPqyV4F3sMQyJEXaYDNt777TJAbPKlgaww49x4mZd6r7Tm9p3Jlox1/iFCoDxLI+Wxr3/K0v9g+RaDf1a53fSmv1alqBS/I93Wvhnbsqm+pGPrCRwxDHeBWd2JVlkWGRQHrAq3Xz5AWkAzSe1eFqCIgFf22ryrdfT9Eprx/RbPri/T/TWKC1Fgzf4espmF/dbEeJRXDx4gJ9bk2fqvAPwF++cMxMX+cEJyXgTf9+bRSXya3D61luwxF0OKsCiIMlUaPH+rO2UvaIZ7x08QzOf7Pkmip7/Mm+Rz1fde4XZmTFQgUUDdL24Z0yHQ2yBAOSPTgMKmIiOR8g0zeVMFVyZCZQDJIv2s46qp3nBcJJchKIrNkNvJL5TzR7h3SragbuCJL3l+lSRelSoNMygSwk6QxsF3ac57qGfB/FXfvc5r9oRvkWjec4AWSMavU/AihvP5SO/cdxPzaIdbIrwCn/yv8PRLZqUjP+daW4VAniTH7TeDjBLJNO/bfiPf2tXbeRWL81gjh9CVSmXSuWpdYI+xnSEFUE9hEnW8S72Ctff4soST/autr3X3uS20MvsDQRasXTaPgamv3IKkg1PwC++n6l0eqCNj/moxY+Zxz1PaqobMf6FEFZWpYXw2vq7kzFdjYItbo14j5cI30Ci60Nt9NhkecId7Zw8T7WGbobdwglCLIih3L5PuxX/KEZUKBd9zWSIWiLw0mX/w3xHx7pt3n9xkCOyobB8r96vda0aoqzZWf1FAF36HjWpXpep9eUf5uUJx70vPi3DhEgjfydZU+PTcbhEJ7jczPWSG9Dk+2tvUAVEPU8Keq9ygHNN4sy2p/lG96OAR89Mp53jIJJIyIBNPKBzxPL60gIISSa/ncRbIs5lfIte5fDUUS9VYmXSdk943W5tMEn/4l4McIXvy3Wzv/sj3zMqFwf6Zdf4FMwleHqaEl6m6LJEB0L9KuSrSTZJ2YXKJvFdmVEcg8YIh2bHfXjMq1lXRhaN15fmXWVTmqccAiKjKbP80cJ4XLiLT8Zaa1BIuojQrTFdJ9X+/vQqmbEsjE6ni8QIzbYdINdAT4uccCnTpLJECtAL/4x9HW+dbe/ySTSJbKva6RG0XQ9U1y7Kr1vF+kO6cucsvZvEoaOKI6NQ5d91VNFIR8D5AuV5/PuWVoh3HWCgiZ34F2/8Xumoq+1BAQBS3k3F4m57RIgoteRnORVGR1A/u7CJn9dF5WY8i+13lZvRvulnaMdEsainKNUBrcNMAxceyqaxwSmVOZfiv7Q8eJ/iqoVwik5TghdDRGrxBr5xmCSc8TTPvrxHOK/B4hDDdLh73U/oyL13j5L0QIyKdJAbhJCIQPkQrSKhnnt8wwYek6gYJruKjUbpN5DH9EKuyHiHe1TbzzswQavkxu4vI0EXMIYXBbZ/Zt7Zjz4iCxZq6RCrQCuhqSJhhWxUje7JiINl0j0fZ+frguNsq1kApZX7Vgr0glUjRaYENlUdDDZ3fcVbpfIJ7zfYRSAGkcrJIK0wa5hjRWt4iYew3Tl9q1y0QC6GXincKwUs8sgVI/Q5bLu0pWcRkRykbtyzaZkKVL37hTZbBt+7xVMa4eVxh63eRhPYBVz/c+yjIYyg8BqF6BHpXPue74fiGL9d7y1BEZAnmaDGPSw2t5t6tkrO4ymZD8TeJ92+4KyYMhw6bUK5RLa8S7fa7d+/+29lXgIXiAoJH88ADBQx5q990mPboizirFvhfXvwq4xq6hGpfanyEu1ZNrnptelAoeGfKhgSoYtEXI0c8QXrXPtn4YagTBz06Q8/4mmXxbDfAZEtS6ToaK3Yt0W8+/i+oqKXwgLTAZtQtQwVUXkO7rEakw0V3r/+MUaBeFSrITWyXpGik4apKV2bcmYajU6M5TENdwFdvULVP7ZfxsVfKqC09GtEOisZ8kFsXbCab9ROPkTxHC878T7pDrDOMmDxOKxBq56EW8VfRcOFJFjKT9Qg3WiAX7Sjm2TSiWC+SuXDtkooyxiKN2bIWhAJPxW4/XEB+t+vr8hnfICDQwHA835HBumqyop0VGJNIHmfyzQwjjqpCcLtfOEgLQONlNgpHIoLYI5fYYKRwtZl8zqGttUt30onAKUhMuLxNzRvRd9+75Mm6LpICQ8Woc9Av/0+wPrZGhPqeJ5/seYrxOEh6cWeB3iKS7FQI9/k1CybTu6Qq5cc5pArVzLb6dWF8azQeIdXiVQBr/3wOhOJ8ivEMmAT5OzNdrpFv4AjHe6+R2zdYQ9s9cAMO4jhFr/SGiTvR7iff0LLlJz0XCG+JmL86njxJC9lkCiZ8lkFTIJKCaMGsIknPZxDTnubyshtaphNpf/695KZ5XPXFwayjAXpLypHobq6Km4K1C2fAJ+32EmFsq0Hp2NGiXiXfz1XYvlQ69mpdI3nu69OVPyDr+xpw6XudJBQ5SYZktbRvqBcNtn13rAgbKMJUbeYLvtiLZ9m2cl6B6Euqfv9XzeuW3jnlVxmfK/xWIoGt/r5Vpn1ewTB6qt1BQwrCey6Q3+SipIN8k+PQ6UXZWObFA8AGVSGWPiqOJx8vEmKySlSeOkx6qKwTPeYZhfLtjdZ2YF3U8a6zzansm+6FRpsxZID1ggjwnScDE51UmaYTOtH663gxJNAm/ytLfJeXPF0h+7jx0ji6RetEmAaY9wtBzLijr3L5XEwzvKCYaMgbQBa0VU881fq1fNJUZ7nTnV5RRqsxBK9PzfGHj0EOVdJX+GqOk+6xa6LXPddFvlj8XaA3oN4buGsNQE/sjQnmIEIQmER0hBPVya/cz7brfam09Thb0v9TOv0wmo2gtKixcCP1LdCzHVXnYK1LBNUlOBM2FYeiF4S5VyIt0mTADOccUPjtUHnvKAAAgAElEQVTlz+sPlfMXyEoDFZlzbK4xdOVaAYF2vii1SWo1hhKSEa8TCrVeA+fIGhmWobF5g9w2XHR6qV3nO9SAUzGrSIHrRbSrIko17nGS63aGYdY45Hz2mo3u+F6TITlLxNgcAT5BMmOzvE8R6+QZYqwPEQz8MKnkHie3c58l1/wPEyERHyGe76favb/Y2v7dF0NJv79d/wzxLn6DULJPEUqu9cH1nFwg5o/IyQLxbuYZIv9fIdbx11p/PtuexbJmX2jHfwn4O0QuxHEC9fw1QpE2BETPl3NiRNa6tX8qvzfbGOoFqsqSbt+d8gm3xhdXxdv5BvunEFWq690+VJRd3leVQPmvyeCG8olAQgI5L5Hv7XFijPUSbJAVeK4SYy6qreJzgVyzkGDBqXbcT9dkDV2DNNbtvy58f/N5jbfVq9Gj0F5bEfueRt3nuOOVB1S5vNWdV/OF6hzpQz/2SylyTPpQ0xlizIyHvkS+VwjvxCrBK0zkhVjPXyP4il4++fLh1qax7YYRWjllh/RUmcx3gtQ/lOdbZOifY6uxLilzKkrsnIRby+25AZlyark9O+UZXiGNTsh3W6MLZtt1hi0tkmDNo+35v1z6Ioi0RYTaHSXqsP+1ds/jhJGqHrde7gUZAbBfgN/rTbsq0TVOStTiBsOtHGVyMjbIwZotv1fGTDm/dylRzq9CwIl/iLTiqiVcmUNNjBEFOEJaeSptM+VPpU/FWxeIbbtQZRSHS5/my6dxadL59v/59v9vtzH8V8SiuUSU3jpECHMVs9OkNegEU9GCYfwsJJOuC2SSC24vyDniWN8gF5/K8TapTGtsrRCVEFSMtN5HZFF8Qz5kWLrxVWD1EPRxiTIflSuVZD9h6C51nCo6IDkvTOpw8w53xzNJo8blm1QJQ8VmjUTNKxro+pDJyKSfJRE1XWwz5I5nC0Q4wlHC2hc9Mf4Whp4TSBSgopP7RT7nGiGsZNCXiXH9PDH3VQr1aKyQ8Xw7hBLp74ZjGRO9APxDYtw+Tqw/K2b8GjHG54i5drG18UOk4apQ2mjnPECs14tkXP46qVzrIdDteYE0hF8iBPQx0q15nlC2NwiE/aX2PI8T6Pg2gZabtFgNvbeQW97XEDR5qUisCLTCvKKRCjPnuusAMswJbuU3lbfuNdnXysOqwPd7XTuQSJ2I71UiDGiGeH+U8/ROfZ5Yw19pvx0nkbQV4t258ZKywRyI82RM8qvEu75OzDcT1yA9RypdVXFQybtIrgfRTxUwZYghH3rn6vtT8a7vchz1MrMHpTxWvcSSPMNkcdsaF7K5X/Kngmzy6SVyzbxCenWVR/+LYQzwOqlIQ4Qm6NnTuDrR2nkHMS8eJnUcQ7BEhZ1bNdzC0B35rx4ikWiTxueJeVtzfF4lY+v1uhuuqDfkQUImPUwmStY9KyzZaU6H8+dlshrRbBmHFTJPZYXwwDgvTU48QvDxbWI32A0iZ+Wr5L4Il9pY/l2SRy6X8TJa4V6kXZXoWnmjRzxFkcfFKatg14VcQzRmGCrfMESGe8XYc6vF6TEVDl9+bdfFe5OceDIKlTH77n0kEQ9JxEFL3InouIhwOqGPEJNcRftE64OuV5U/LccXyfjf9xIT9RkyrkmhQDdm29zKvCj/75d1JyKh4voOcsMSGMZbzRJK5GHiuT9BvvMtssLAodKuRo/nbJR2fX+1rFB1O3r9AbL6xlZpC4aCWFeqc9B5I7p8qPVdr8RNMsbxOOk5uFLOFTVcIhGE2j+NOePRHMeZdv4VgtHJLI3xU5BeIBQwY1yPk/kB3gPS4OuFbEXz9pIcnzPEe7YUl0X/TxJJhScJIXCBCM34Y+L5XiUNE8dMYblKjNXT5IYp60SsoYz8zYSBukmU0NsgK56cI71DkLxlkVBc5wnkeYdMWISM/5sjKiro4j/ZPo+Rc+JLBC84RSDSfx34dSJ2cpN0ec4RQn6WyHbXKDQMyjh8Q1rkx66XLWIuyC+rV2dECtCKWsrL+nVB+S5P2U+jaxIP2+7+YAjMVH57olwjDzcHAxI40augMrtJ7mR4jZhLa+36VYaxnravC17Dv46nSZAjhru2ye/k8YcZgjgqt3qu9GbtlHYnvZceZZanOW71t97DXMGw6iGuz6sxUO9fPbR7TfIQFTaVxhVirWwRRrBryPGo22c7b9QxfCcm8ylv3kZ4igRmLpK1mD9HJrHb9pNEiJo5FyqgGmPK8gOkd1Q9wLA3x9RQRsjNfY4QsnSlHbtGzM/Vco7AUX3Wt7fr3tTa1wOujDanQKDiERLM2CT41/PkLpDqN4YimqDtGlpoxz5NeAgds5psf6/Srn3fIB9UoX6EHOBKFakYd4PeYpZqgqALzkksg5kh3RFV8a4Ws4tlu7Rn2z36absuvsp4bKMaEDIR4++q8qNVda30xdq0N0lr1JqQxjRdIoQoZNC//fz99oxXycUIQ8u/Pj8kgr3VnbNf5PjcICzhcyRjqskPvqfq6rtAuo02SStd9A0ydEYydlqkp3oJpJvlPhut3Y1y7ky5l8kVGmEbpT3nke5a50ytT/oSwbw1rFZIQ8saojeI9366e47Z9hzHyDrE/lbvbeKRsWoaViZtfp5QxkYM68pChnUYpqKC6JjuFxMTXTH0ZYOM7X2QrMl8jdzp7VPE+F4iBYnvbUQ8t6i1huk5Yre3RwkBcJpATj5LKLLbZBKhY/hWEuFW+TFOXlol5uRzrY0fIZBrXbO/VfpnTP1RYm68TL7vrxAhJbPEO/thYt0cJDwzGmib7Z416e3Rdi/7aYJO9RpWdB6Sv8rzPFafUyFeE5blh15fvYT7STX21v7Mlt9c58oHvVTrxLt9muQ7hv5AxiLrsfIagRCvd72IBq+29lYJA1oUWs+ACKHgSpVthhzWpFV5mJUL1smqK5DeD9er95C8tt8shNJ2Hb/KS6tclGdWuVw9GBVoorsP3MqDYe9lkWOhF+lyO/Y0yYNfaH3TwwXBEwxD8D1ppJwmxl+vlEbo84QX+Y8IBfI4qai+m1iLj5Bz5jhhDD9LVOT5R2Sonqi470UwwfcsTz5Jehx9F777V8jwExOunyDXvnqBZUXVU7bIykFzJOgzR/AyvVlW8bhS+ijgoDd3RIR3nG59eKn145vkBjOCY88Ta2ahfVYZt986y+tFt42JrqW1rKaghQzDBaMS0i+0Hi2tCOm4WMxqKXsfM1VFFGvSXw0rUent3U9Vya/K96hcUxmMjG6TRJYMF1AQGragcBqRRdjNpPVetb9aa/ah9vMqWRJNRU2UYqtcU8dZ67K67Kv7cz9IofMA6R6rxpKCQZTXRB0Zw2my5JCo7yzpuh+VYzVO2pCHGi5Uk3y81ljWqkD4Lh2/3nVZjZGa0ayyfKX9ZnLXZdJj4TPoulsgN8z4MoEEQKLklVFtkFuRmywjA3ypjYmeF/vrs9U46cvcGn/W14+d7X7fDzpIIuXHSBTjFeK5LxMK5vMEs/49Iq756XadbsA1QvHVUFknkI5Fcpy+1u7z66QX4grhavwTMsP8KKFcLzLcfnfU+vtFco67g+BW65NuWl2tKrYX2vfL5OY4P9D6817ivX2SqDoC8PGTIXwvkDHjIzJZ1zV9vn03dtc14DkqVFe4NfZ9g5yfGiLO/QpC9HxaqkrafpFj3fO0Gsohv1RpEFGXr/ce02rU75C1dG8QhpXeRnnNOinwq1Fl6I5t2m4N66rjVb1bvpOb5Dr3nVhRyOd2DLyHyn/1SiqrpCoD+3epUt0bJv1YV1IOVRqHNvfyfT8MdBFcwzOMKa9GleFXC+TulfLwqrPMkV6sE60d17LnHyByNEzU+zHCsD5DGr1HW7uGg/0a4V1W5ukpFCiaIwxk+0br+/OkvnGcRJxr2Mix9v8yIV9WybAejfm6Zg0X0tur8n6pnVdDQBZbnyrQZIUzQRAT5V9q/RQsnCX1pysET3um9dM1I+Cw34b560W7zu+KQEAmjlUX+nw5ryoOUlVEeuW4urkq0uB1dN91NdTEivogsxOugVxMlQnWcA6fU+EpYz7QnVvvu17OdaFajFyUUnTC51fhq/WOa1KSNRUro3acVOTrsyko+vAZuuv3mhwfNy2oO2ppCOjNUKkQvRMZEn3bIZQIn6l6PlQyt4gFWcvzzJXrNIJEnI03q4xVxUHUyPdflfYqxHz3F0hDydhEGZnxq8blPUSiHLXyyJdb/018WiAY8BFSITf0wfhv4/yukOFJlOeh9GuNqHoh6t3Hm2lwqWT3CYh7RTcJnvFZ8rkOka7XTxPoLsSmKO4i9gCpzDxOlpp7mhjbNxOK9iLw79s1jxJK+M8QKPCXyRjDBUJAyvDXyXnpOl0mN0vS0DH0yvV4hXgnGid6y66QFUQ2CSTsSmv7AqGwbxFC5y+3Y3/zYpTi+93W1gVybswRc8kY7jrHVfadnxqGggEiafZPo7EmMXmdZFvV2K/gw34KPO9dgRvXdX8OJN9Q4axKoUia5fDk74JF28Q80OvksYNEbfFZsqKDBlYte6onw/ciug1Dt7XvQwPf9Sm6V13q9ttz+vjv6n2g+815YDsVpR4HtFQgyf5Wz28fylFle71nf2wvaUS8k7eSuSLLpHJ6gpjHhtxdJ97VC6Ss0qCpwNiIUEbVN3yfM0SYxjLBX24QiuEOmZi+2Nr6Irkb7AmC79Vwwg1S8XySUMSt1nKMDH88xbD6FK0N56pz4wJp/PkuDpJldq+SBofydr19HiCTKeVpNZxFObPdxu+jpIK8ROg6KySAuEKGtWn4nWnv4lmGhQd678i9RHdkJFbmVd2/O2RcV7+g+jCO6uaRcdT2N0sbnr9TvutmkvFXZbuikFUBqg85IhWlylBqH22vMg2VXeMHFUwqslvl0z4rbGVClZnoTn2FmIgqXDJd0Q4txBq7XRH93lCpQoRyTn3evaQ50vWl4lAZv++79tGkrSVSKVRp3CAUI8fP554n46OdC84BlWqteBe3965GW50jelj8XatfFMq+Giqgouoz6gpfI+JsHyQY5xLBhDWkVPY1GkTnTzFEsNZIt5pVBRTSxpDNEwqy4QKjds7bCaRyhggZ6JEjmZZKn1vgnmF/yF3btgmD8QFCEX6ERDh+hRBQnyBQ2p8j0JgtgiF/lDRkHiI3RfgDAtX4sx+Ef0fGMD/IkFedadd+nZgbHybG8HRrd43YxnuWdNd/pJ37Ark5gMk53yQ3SLif3OXSubbUfh+RG6loNL1IxrZfIrd1FwGCXEcHyTlZeZ2Kl6EA1eCURL9gqEjJ12q4nci6wIBUNzTZbyS68mVIvkk53huKHpOH1LHRiwXpDYIYX13x6+T6gKwbLP8278U1q8Is714r50MaPcorFfit7jxzICrfq++7Po/9h/HvpKL2Ui8bq6w+QM4Hr/O+yulKveLe/7YfHi6RzOcJ+XmV8DKp8L7czpFnWPZNo6AWEZA/+5zVkyDyO08oxxrch4i5Icp9hMhjeJBQsu8nZcYxcm2dauefam3/frtW4GObnIurxJyTz0MaDzcI2escMukYcp18k0S9lXPOb0MEr5G10+UpesMMe/M5tgiFf4Ew6u8n5LXx2IbJQPLMs6Q34zHSM2u792pc9B31exzqW8MzZLyUz60Jn9W9WG9ekQbRXY9VRiJTdHFXC7y/twjNJObSu7F8thsMFWvRxlmGu4fVc2oZqm0yo/UGQ0ZTy1D1VmRVvLXwZLTrZEmZ6ib0ex+nWAXlfjAyEbMrxHMp+A+Tm5OstOMqqK8SC/ElUqHUmKp9Nga43kuktwoQUaaaeXyZW12rNZYSUqFUoLgRhQzW9o29U2EyrEB0nfYsKonnSUPsIpmsCMlYzxLM9wipWB9v56yQlv1DrT1deVul/aV2nhnQInAjQrBQxtPnOdU+RR+Nz99rqnPdGLnTwP8mxv5PSGXjOrEV8pfInIg14HuJd3GZFF4/RCT1/SDw+U9l0t+LhKv1CrnDnPkJMnqTa34W+BtE6blzRCjIeULJP0fWEN4gxk+jx7g/UcgdQrh9kxDYp1q/P0LmSmwQc98tvj/XnuccgcZfJRHvy8QcuMhwZ7HDZOiJnpXq5avgR42FhGFlIZGvijTfJHmPiJG8cj9Df+xPz6elHhDxfNe5BkGvTOre1xCuceAaD0tkONkOmYgo+KFXY7YdE/U3HwGGORiQY1z5nKEi22TYosBIfZ+V5srvm6W93mtGOS5VWV3la5XNFZipY+zzTqLvBJpo7oAxz9vk/K7VlG4yDDPx+dcYbowFmbzsWPrMNbGu1iWHlN3rBOIskLJGVrbYJmOPzxHjfL6185F2rRVkzpAlUlU+Rcoh5aDhZfeTtcUPEXzVco8a/pBI8iGCb91P5m45LubgjFr/zpOG/yLpTTtC1te39vlp0jCdI0COVTIpV+T7veT7uZfptkr0OMZZUQEn2J26+CpDtJ2qPFbFVKFQXWAV2YVbmYMIjvE69Rz/Hxf2UBXxaoXPkzGX9q8yKfskI6uIj65qrdV6rx2yrvEiWdfU6xxTkfBZhjWYd0qbk9xyjDm+l6TSWRXVN5FbrBrTLiNR6JhYOU+6mDZJZmLconGAov41pKHOKf9Xkfce9sv5vFXOkyEtlN+tEeqziQa/1Np1gwbvvUEWxBdNOEUaAdvkRjGiIFfJneNMOFlt17xY7mXYAOSchFS+RfDX2rN6br/ADRO61B0fh+LtBTkv9BA83I59jFCE30IaLNWrcJQYozXSYNIg+DTwD/5cKOQHgSc+CN9Hhmj8EaFgXyY2OBJ1udA+v97a+zgxdr9DvOsnCKG8SYyXIUryK0iDZq79/iA5N02E/Fr7zTYg3u1FUtC9j0yKoh3TfXuIjH+GSJi0Lm11PYvo1HldEUjH3xJqhhJVngdDxcpntv2e/+4nTZIv8tsa/+x6dt3JRw9118wwBD9cVyLRei9rpY5rxNx7M+k9PMqwhm9VfmuYico43Xl0/ahegV4hhuRrcHfvo4Itjk0ds9puVa71Btd73e6+s3dwzutB9R7KSMvYuT4N2YNYhzMM9YGqg6h4apgcYBj6VIEpa9Qrwy6QpQpNvnuS4FGb5E659tkY+LNkvfz3tb58iTTUNWzOM0xMnSHBF5MDV0m5Mk/oLuZV1PWsUXqRVLJVfK+ReQIj0rB7sYzFFsHbVsiSkIZJnW/9uEmU6lwkEiwfJfjqeeA/kXlg93I4x32vvfbaxB/n77tv8KPMtsZkjSZ8r9dQjqs8jGurb6Mmg2h5y8wn3be3HF0glSH1n5Oer6LTMhIZXXWl6WaeIwu79/eofYBh8pmKXf/MTuq6mDfGtCnZpp/92G+89tp97BG9qc2VRWLhWNJN4WyiR12A1YWpK7E+n4k+kLGIl8ZcZ3v1eeuYTqI6z8YpG1r/9rl6PUQxNXiuleMqgCKSzgNdiCNCAL/Y2lwhs/1XCEZswlhVZtyoxKz/iqJpnFRX5LeDGO7VXJGniKTq9dFIrdSve9eEKMllcvtrBckCMfZnSGYOES6i0NRVeay1fZVM3NUQcXwfJlD644Qgcn7rxv8QEUbinPwpQmCOCJflpwhF+TlS8d4gPAtfIzdeMBHJOWzS5PMM57hU+QtM5qH+X72H48732DjeWNejc871sZc8pZc/k2gc3+77Pu5YnTeT5JZKp8qEIEbPe/2/5ym7vRevqW317xUmv+dJ9xl3r5769mps6riQwbtpexLt1Vx50333vSbvO0FWf9ggPZJ1fOWP/ZqAoZHV80/nge0Ylle9x65Vz/tA688ZIrlZhPYyMf9eJZDgiyQPMu/hfhKAkhdqqF1iCOAskrskK2vrzp01lEgFHDLR2NBDjeQKqozIZPoNkm/WKAPlEwzHG4KPCTjJX/Wg6rWu83Evecpe0B2Fc1Q3eEWPJ1nJdMcqE/DTCePkrwprvde4BT1fPmWgtT9HSRSmWo31/uMYgRNym3RhGqdb3RtHiQn+aPtfN7OTuLq8qnsEUqlyN7LqaoSYvI+079UCHpFx4fa7umAp3/vFP8/ekxa86Ngs6SJTsXEcqgJt/GCdV/4Z3yUqIArpnKlKpi4sQ28OlPb0INQY5+3ufyto+Fvtg8ixiUgLpKXvPDFUY5PcgttrfE9nyfn5jXbP97Rjy+RmIpDbBtcYvXcCP9o+NaxuEkraGXJnwxPkhit9LLpzYan7X/fnXpPjUhVnt9I9Rcz9Y+08N5BZbP11t7ATxBx7iAz9epx0hz5MZtEfITcMMGNcYQKZBLTU7nWUqAX7LkIJvk6M7y8yzMkwrOcPiHfxYUKB/izBB754f7grj5OxsafJdzJD8A8F8wfbPWZbf42/fhdZ49j5epY0JqqnTtdojxb3qGxFSScpZ1XhvJ+cg/Mkf/1OU+0/jAdGVH6N/fQ8501tC1LJkXe45quCLK8bp4BaVrLOMX83VrUivfUZvLbyKN9z/8y1nfqu7pSqd9cxU2ZWQ2Ac8nwnynlF4PeaDGlSFzhDglqO5xKpXIrGrhDzor7PU9ya66Jccc70Xgvn3TI5304Q6/95smLXu0t/Fgm+Z7KfSanLpJLq+n47GUZkabgZgucZRgopX4+TIWq1f3OtX3rqbxI8dpvgUe9sz2/YiPlKK+1/9ZUFsprHIqEk/x5RpvNhsk60cvGhdu7j5BpcJnNH7iaS4buRbotEj0MpYOg27Kk/r7dq4NbregS6Wo69ZdNfs9s5/Xm7IQP9NSpeMjEVHAXSbsiQJCOu6Gk1HBxDF0JFkE+SbvdZ0tK7k8k27r3tpYV3rKFGCg8VY1FWkXSrM/h7TZqsirVxhXXu9HOqGnXj3qXt1XCN6pp2ExQZ1jqJfqu4L5L1eCHnhH33vAPkLpZutVrfa7XWfb6jJFM7R2ZMU8ZomyyztEHWhIZU0I2h3mCI6NqGsZyi5XdCezVX/sx9971mYm4V/jW+7ypZus46pQsMkcbqXq3zocZcbxFC4TIZLlUN91lyt8k50oPwULvfV4n5WtHi02TGPoSAWyPewfnWtw1CSFwmhNk2mcwkeq6ytkUqqdcZ7lBW++pz1jAkSZTc5+9R10keP7g9LzFM5Xr7PEaENEjfKST6TtDQitKOQ6LHtUn5rUebe8MEhiDPpOtVwNYZtumcm/RMk/5X8d0ox5VHd4JA93Nj3DPeLbJ9J+fstXfLNSUCbaI5DD29zmepvjvHw/dk6Fev0yyU45DhfsY7K7vkGUcIz5N8o3q2Xfv2RTKe2mNHCF7xIsEnnyC8lufI/TxUcs+TfMt5Z4hGDVGc59a65cq96pGzhJ3otrzmLGEsvIeopnSN1JM2CF63TCZ52r73V/GvVbbecEh0XXAyg6r89Qhzb7l6TrWu63VOonqfCu/D+Bhm25QR0P3WM7x6v17RHWfBG+dkAso6iZDBrSiCY6NFO1eO+wwiQU4cn8Hnt0yPSF2NW5UZiEy4UCv5v2NSmflekwi5z2UfDL+oCrSWfh8DPyLdac4dx7Imt/QGlqEVI7KOeG2jxsNB7pborlEjhklDup22uDV+8UD57rsVWbxKMDXfqV6GkySD81mPE5U8XiZ3ljtGuvQ3CeY7T1SweJBQ7g6WvtX5tkkobMutjycYriNj8zUInSvOjbtBsb4d0ptiLsAsOY6zpMfiRdLVbjKN7+NQua7ODXnJEjFWp9r/Ghl1ftI+VdIhFOKPln68rd37KIEIf5RMrDlN7Ir4HkIxvp9Ujj/QPv8ige6YYLxJvJ/jJLp5P7lhwjKBVp1tz/Cu1i/Xu+/7URIF0qXsOqpzrCKMju84vjia8Lv8qYZgrbJ/c0Wq/bK/43ibvN31V5Pfq3JyJ8qghvKIIT+rY9sbgn3bjrvKlOvc+WpCs89QPaq9sjsqv9cwMu85KQRjHJLsd6+rY1tlafVAj2uj/38ciLQfZB9dU9XDYMlQ+YDz+TjxPo6TaLNeUtcb5DjfT8oXdQI9xqLbloRTFlZk+zzJ0z3Hvw+0dqontvJtd/ezDKm878vkvgx6R1dJY77yNufFPJnr5TOq5J8F3k9uFuUzLDGUq9vl7yiReP0DrT+LRIjbGUIGOUYmJR4hk7JXyLyMNzQSvY99uYXuxPrdi2uligj1YRR34tKahH77W22/R036OK5Kt0MJxiEMsPeoUUW9ahznuNhnFb9e+OzmufA5RQd8JyYEVqRHBmFySe1TvX+NH+/RnNnyvVfcfVeGkdRYSfs0QxaqnyGUpEukV0F3neheVWZqGyrVKuY9YzTEpKKYni9zvVvay/hFx08kTjSkGjq+qzvxvvTv3rXkHHDzlWp4O48OEYjOJ0mh4DtSKT9CvEPnzCwhHL7aPcMm6R79BiF4nSdr7ZovkwLRpJoekOjXQg2Hql6TcTwDxnvI6M4fR7vxqklI7n4j0XeCtDLmnNuhvN8KVZAIhjy38vb+/HE8bhzfH3ev3frCmHP661wj9Z53Mg6T3v/d0F7HRFf+Wcdwm1CWBXQs83aZXF8LDL05tiGy7aYqJvSfIqv8zLbfDevUQ+i93LnY8EblQQ39MXRR3kO7h6DMZrvHPKEoe46yz993yPAxn31EgC+CEn38sqF818g9Cnwu+ZoGxhYJhumZWiP3DzlD8LmvEEr0cyRoZmx0Lb7Qo/zwBkOiK0rh928VuZobc6xa+T1aOqn9vj+7nT/Jaq7PUAWrSofHK5KhhVsVm0modo+2e8+KKCnQKhLgpO0FuJZmj7r41z+fjHiOW8d1r6gK8RpOYL/NeO6Tbw6X80VKfWbjx2tss4vaZ3W8ZHQyRBUeXVfGI8oEV8j3als9mrNDoMgyxDpPa8xkn1AhYghZSk4GKhJSS/79feBXy1ioKBmrKxrq/at77xTpylsm59kphoq/83quXFtpv+aJBokG0DxZxsk4b78rWJxDPWLqX/VCwFBR3CDG5kmGBgaE63UN+O12D2P2niJQmWPAT5MI84PAPyUz8V2XZ9rnYeJ9WQbrFV5Vx00AAAxfSURBVKLM3TYRX32FQJqPt7+PEEi1Avj97b4ee1/r53FyTo0IlP1Bco24NqxAU3lk9QS60+s86SWp51cktJ8PuyGce0092lmP9zzWfssXJvWzR7J7WdLLmTr3bLduKKVhWOfkuGTlcSS/75Hh/ppJfaoyp6caLwu3KvW7Ifn9faUeff9OU53j8j9I+WjlCOXQ5XbNSWK9mrfwKIn2VrkwIsvZHSX4gh411+QNsmSi/OEQ6blZaudYJUM59NZ2f0PxTrfzjxH8oq7JE63PZ4FfJvjH+0l+dp3gQXrLaG3fT3o5H2jnr5QxMplxiQxHcRw2yhidLuNrhR9D15YImTMit1t/rn0ukXHW2wQPnCn9thb7d8t8ulvaFyR6N6v3dujI633PSccn9WM3BnI3lryxtuOs+R6JqP1Q8bYyQ018HDGMqat9Fkmt8V17HRPtvSqi0iMfvevRjVUgq3NU1L8m6NSYZpXmGtumIlHjYh1XhYnVP1SAax8r1TFUIIvo9u/I5zVkZaecV5GPh4kyPyMSBYeMlz1OIJUqzXNkvJsxd5dL+56jsaDAuNCNl2jp3ayzvYxfrHNfFNq+9QheRZVVsl2TNRa65i3cbo3360Kj2Hqqr5Ku9xdII2SL3EBBY7BWbajehg8TlTmeLO1cZhi/PEeiOpfavd8P/CGBnNcM+hqrX+P8XVv9nOzXXaVR+f1O5sO49SHtBxLdK9GTeO5u/ZxEk9rynvV+9VitVHK7tiaRvGyzOz7pnY3zVtzpfe50XCYZLK8H7TVPUaGtxrix0ZYFtca79YrlOSq1fdw6ZCUhEWTP3SFDcuYZ8izlXC9nqvz6GKFoniO9Uq5llfFtgi+skpswWbrO2G75p2VSa6jecmvf/thvNwfrPZiSIEs1sI+1/tbEW+WS5Ujny/nLBKBQx9w8oqvtOoEUa/Bf4w2IRM+Wv3G/3856qAyhMoFqGVfhObrN3/yEc+mOj2N+Tu7Z7rgvvrfEnSx1kCr6PGKIotbPen5/b8ox23C7zeouskKDrqAT5R5Oxv4e9VO6W8HyrVAV3lVR1vqXjGE9Tmb6qwDVwvIVST9Q2qtKT00KFK0TeVRxNQGwKgzGtBkbVhHb3g0mI1xvv1nX02cTBZbhiU74bk+1+1n32bi8bUKptk8fJhF2Fd5z7dwnifmh6+udJNLg7lGPtHNfIatcOK5e51hXBEpmuZ8eC9+rHoMazuCOab4HPT8zBHpiP7fJCjeukU3i2TUuHiQY+Xz7foAwWCAzxxUOum4VlI8QxsgSuYnBhwl3pEq1tYE/QiJUekKeb8f+oLVzuV33Y0Qljlp15CngHcR7/QYRJ3+G3PZZJE3FviLPlR8eJl2+PZLmZzVw6Y73yOR3A2lsSJWX9/3u+VzPq+tn334/RpWf1cTlBYa5J/XaalSPk5lVVo3I2OZexikn6vtQztR+1TGo9+i/71bqs96jAh0CAONk/KQ5MmmM95q8nyBV9UDMkPkhrvFlAlU9TPDWCv7MlvNG5IZeJstVj8FhsjqGY2Y98h2Cb8jXzGXQ4IaoR/88oUBass6kvh1CDmwTCjTkXguW73yo3etYa3sZ+B4SMR4RxrsyVDmsPDTXRL1qvl1rsrr8WfmnDITcWXWLDOdwt0U3ErvYPk8QPFCjxWttS09fb0zeK/RdHRM9pdeX9iMmujL5BQLVE2k2lrkKRi1nrW8t20mI4jiEbURmHft7HzYiQl3Rx74euAu8d43W8zQCak3QcWWhRDWMSdZgEH2/3PpsrehNMmZsmQgD+AvA50n3ocjBFqFQvtC+W8XF53I8ZcQq07rWjHnbjfYLie5JAUR3jmE89X1J46pPuDGOjFzF+Hw7VgWt7kRdqCbsqdA+RLybT5CxlZBCw22/P0ckHz5HGi432u8+g8b5KsOYfLg19plyjuOxRQjM50hhX5G3cah0T7uN/92iqfuFRPeetb3wXk6ifr71AM23ihD3PKz3mI6Lca/n9obDuD7czfv8duZFNc4mnbsfPKX3WkrVa1SR1wWy8kwtJyufFplWce7j2TXiRwRvfZlcx55v9Yu50uZNkq9fZ+h9FZGtc1zgoXqhqudztrRh/48T8sV66I6PuSebBC/5cnkuy1fOEsr6PBHffLVr2zbMB+nnolWWVgieu1iu3SSrTDlfbGeDNxgS3Vv7lcYdq799O9Tfs7fUx/12J/efZEFXqx5ufe6KVoy683vrexLCt9idt0hauRWdE90yLliL2AzZGud8u+fuq3fsJRm3eoroq/U0tcxFXnwed0ASMR2RypMKiHGnuukc06X26Y5KxmiJMEMs4hoXaUUOmVJf+koGoyJvX3wP9sdt242vloH5Z0zj9fL72dZXEdMVcuvTkyQquUoq0DcI5vb9ZDyaz79F7n53tI35O0nGClGp42i713Wy3ucVMs4ahl6Y/SCFbTWk/C6KKqI/Ij0M1bCxtqukkizqLNqzWM6/QcTq1dquxp/rrXhbu98LpJH0b4n6p8+Qa/YIucuoMfyPEELnKeI9HiCFyFvK80DGUFuLdbGd97NkrW89Fo8SKHpFyl5q56hAO/dMlNQrArfyqtkxxyof2y/F9FuhmjA8SXDtJh8myQVjZ8edN85gE6Hzt2rk1Hv2OSn9+T0CXD2J4xIM+2fRk1a9M/15tcZ0lXH9s/Vzo8q7XraNkzt13tzOO7tXNEuspWNk1aIH2/0fYlixyAo7ormPEnz0rSSYUkMJBWX0iulh9T3rVVhm6Dml9ed9ZJz0XyF3CFwmK0KpiLpTpvzrDKk8mydifPEi6V3zvWmIW4VEtFz55G6oys1tMoySdt0yscmU8dOPkPtlOH7GOfscegcPtn6ebeOvt9Twk7eQeyBUPjVFoqf0XU97aeEttblStyHuUeT+WEWWrMfs7xtkOIvogZZqvc5Yt8rEKxpRSwIaw1Zjz3rU0771qKCMUtduDUGoSEVFj7yHiPwmqdybSLJNGk5X2z3dyU83mgq8TOZRwrr3nMqgIBPezLw20e1+MvbudrTXNV0dNxgaNvV/SCNpjTTCYBj3XpnvHInSzxDuzVWySsubCLRI0jsiGfcMOfbGofcVZ8xGr5n/Z4HfIMtq1Zqs9rsatwfJDQd83yarVhTLGNwRQ+XKudm3O9O10bv0Xy9leT+RaJWxSRUspHFI6CTe4zzcHHNt5RHjeIXn9Mcm9cP/RQYrH5PqexqHUlev2hxZdWES1fAE51JVancbp74PcCtP72nSM8PezRXzcSRDUWrMcqW+9v8cwRsvkLkHKqQqxz3KrnFiWIeo82WGidN9LsNRQuF8mmENaojwvlVyF8TK041lFqWuISO+24tkFZE5wihYbf1w+3PJOThPen41yB0Xf9MLukTyKZHpLcIQ+TrDXCAV59XyfCOy7n7l2cdIHr3OGwyJntKU7pRk1IYTwDCesCIdCn6RlANk1vIs6V6/TiK2Lu4eidko96hxtDAsk7ZFoLB1m1a4VRicJBiAFTdq8p59rsj1THfcvomSi5ob37pOosAiGjfIuDJrGjueRwimC4mYyZiqW3u9jZtoeRUeegOuEsr8JI/MfpMCaoc0UJw/vs+acHOK9DjAUBGCFFzGF46I93el3WORIeLivNwia2svEML0EvFeLhFCQiVqh9ydcpYQXJ9tx84BnyE9TIbdHG+fjxHz4TFC+X6s9WOmPaMhTBqFB0n0+wZZB1dUyWogtX6s4+MYGUol6k45914h+13Dp3ZDOXczEHqDrXdD9+dWY7lefyfj14ceee11hgiv899+9EiuZI3filpr6FUUu5KeKRXovi/9fezzDIm0erx/nt2u9/h+eDZ6RNN1UpVBgZQDJHjhWN0kwzYgn3WdWIN6WOvY+r70Lq4RHkQBjzpeKtOLBD95tvRbGXKG4B9637ZJIxgSnDIx/kbrm5ubmEw+as9rG/ZVmaxn1bbt/ztI5ddzaM8kz1sn5LSyWsT9PCFXROoPEGAF7Xdjp02ilp+LulsRZIpET+m7nr5Tu4tN6d6jvUaip/TGoClPmdKd0pSnTOlO6F5DondVoqc0pSlNaUpTmtKUpjSlKd1K03COKU1pSlOa0pSmNKUpTekuaapET2lKU5rSlKY0pSlNaUp3SVMlekpTmtKUpjSlKU1pSlO6S5oq0VOa0pSmNKUpTWlKU5rSXdJUiZ7SlKY0pSlNaUpTmtKU7pKmSvSUpjSlKU1pSlOa0pSmdJf0/wEAZ4gRo9d6VwAAAABJRU5ErkJggg==\\n\",\"text/plain\":[\"<Figure size 864x360 with 10 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}}]},{\"cell_type\":\"markdown\",\"metadata\":{\"tags\":[\"pdf-inline\"],\"id\":\"rAgbRs2wv_n1\"},\"source\":[\"# INLINE QUESTION\\n\",\"\\n\",\"A friend of yours suggests that in order to find an image that maximizes the correct score, we can perform gradient ascent on the input image, but instead of the gradient we can actually use the saliency map in each step to update the image. Is this assertion true? Why or why not?\\n\",\"\\n\",\"**Your Answer:**\\n\",\"\\n\",\"**Yes**, this assertion is true. Because, the saliency map is formed by computing the gradient of the correct class score w.r.t. the input image. That is, updating the input image with the saliency map in each step will increase (by some amount) the correct score classification of the updated input image. And repeating this process multiple times will certainly maximize the correct score.\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"xdSlSG1uv_n2\"},\"source\":[\"# Fooling Images\\n\",\"We can also use image gradients to generate \\\"fooling images\\\" as discussed in [3]. Given an image and a target class, we can perform gradient **ascent** over the image to maximize the target class, stopping when the network classifies the image as the target class. Implement the following function to generate fooling images.\\n\",\"\\n\",\"[3] Szegedy et al, \\\"Intriguing properties of neural networks\\\", ICLR 2014\\n\",\"\\n\",\"Implement ```make_fooling_image``` function inside ```cs231n/net_visualization_pytorch.py```\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"tags\":[\"pdf-ignore\"],\"id\":\"aJnUVVATv_n2\"},\"source\":[\"Run the following cell to generate a fooling image. You should ideally see at first glance no major difference between the original and fooling images, and the network should now make an incorrect prediction on the fooling one. However you should see a bit of random noise if you look at the 10x magnified difference between the original and fooling images. Feel free to change the `idx` variable to explore other images.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"pI9AORrAv_n2\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1614286348670,\"user_tz\":-60,\"elapsed\":3491,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"743858a3-887a-486b-e2a4-103b3f8c74dc\"},\"source\":[\"from cs231n.net_visualization_pytorch import make_fooling_image\\n\",\"idx = 0\\n\",\"target_y = 6\\n\",\"\\n\",\"X_tensor = torch.cat([preprocess(Image.fromarray(x)) for x in X], dim=0)\\n\",\"X_fooling = make_fooling_image(X_tensor[idx:idx+1], target_y, model)\\n\",\"\\n\",\"scores = model(X_fooling)\\n\",\"assert target_y == scores.data.max(1)[1][0].item(), 'The model is not fooled!'\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Epoch:  1 | Predicted class: 958 (Score: 24.13) | Target class: 6 (Score: 5.21)\\n\",\"Epoch:  2 | Predicted class: 958 (Score: 25.13) | Target class: 6 (Score: 7.48)\\n\",\"Epoch:  3 | Predicted class: 958 (Score: 24.53) | Target class: 6 (Score: 10.23)\\n\",\"Epoch:  4 | Predicted class: 958 (Score: 23.70) | Target class: 6 (Score: 13.15)\\n\",\"Epoch:  5 | Predicted class: 345 (Score: 22.87) | Target class: 6 (Score: 16.41)\\n\",\"Epoch:  6 | Predicted class: 344 (Score: 23.99) | Target class: 6 (Score: 19.41)\\n\",\"Epoch:  7 | Predicted class: 344 (Score: 25.56) | Target class: 6 (Score: 22.56)\\n\",\"Epoch:  8 | Predicted class: 344 (Score: 27.03) | Target class: 6 (Score: 25.29)\\n\",\"Epoch:  9 | Predicted class: 344 (Score: 28.74) | Target class: 6 (Score: 27.93)\\n\",\"Epoch: 10 | Predicted class:   6 (Score: 30.67) | Target class: 6 (Score: 30.67)\\n\",\"\\n\",\"The model is fooled.\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"-aNjtonJv_n3\"},\"source\":[\"After generating a fooling image, run the following cell to visualize the original image, the fooling image, as well as the difference between them.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"AY3xndtsv_n3\",\"colab\":{\"base_uri\":\"https://localhost:8080/\",\"height\":192},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1614286355841,\"user_tz\":-60,\"elapsed\":3277,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"2ef9a8e1-34d8-415b-f384-352612470303\"},\"source\":[\"X_fooling_np = deprocess(X_fooling.clone())\\n\",\"X_fooling_np = np.asarray(X_fooling_np).astype(np.uint8)\\n\",\"\\n\",\"plt.subplot(1, 4, 1)\\n\",\"plt.imshow(X[idx])\\n\",\"plt.title(class_names[y[idx]])\\n\",\"plt.axis('off')\\n\",\"\\n\",\"plt.subplot(1, 4, 2)\\n\",\"plt.imshow(X_fooling_np)\\n\",\"plt.title(class_names[target_y])\\n\",\"plt.axis('off')\\n\",\"\\n\",\"plt.subplot(1, 4, 3)\\n\",\"X_pre = preprocess(Image.fromarray(X[idx]))\\n\",\"diff = np.asarray(deprocess(X_fooling - X_pre, should_rescale=False))\\n\",\"plt.imshow(diff)\\n\",\"plt.title('Difference')\\n\",\"plt.axis('off')\\n\",\"\\n\",\"plt.subplot(1, 4, 4)\\n\",\"diff = np.asarray(deprocess(10 * (X_fooling - X_pre), should_rescale=False))\\n\",\"plt.imshow(diff)\\n\",\"plt.title('Magnified difference (10x)')\\n\",\"plt.axis('off')\\n\",\"\\n\",\"plt.gcf().set_size_inches(12, 5)\\n\",\"plt.show()\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 864x360 with 4 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"Wv-cZd6Tv_n3\"},\"source\":[\"# Class visualization\\n\",\"By starting with a random noise image and performing gradient ascent on a target class, we can generate an image that the network will recognize as the target class. This idea was first presented in [2]; [3] extended this idea by suggesting several regularization techniques that can improve the quality of the generated image.\\n\",\"\\n\",\"Concretely, let $I$ be an image and let $y$ be a target class. Let $s_y(I)$ be the score that a convolutional network assigns to the image $I$ for class $y$; note that these are raw unnormalized scores, not class probabilities. We wish to generate an image $I^*$ that achieves a high score for the class $y$ by solving the problem\\n\",\"\\n\",\"$$\\n\",\"I^* = \\\\arg\\\\max_I (s_y(I) - R(I))\\n\",\"$$\\n\",\"\\n\",\"where $R$ is a (possibly implicit) regularizer (note the sign of $R(I)$ in the argmax: we want to minimize this regularization term). We can solve this optimization problem using gradient ascent, computing gradients with respect to the generated image. We will use (explicit) L2 regularization of the form\\n\",\"\\n\",\"$$\\n\",\"R(I) = \\\\lambda \\\\|I\\\\|_2^2\\n\",\"$$\\n\",\"\\n\",\"**and** implicit regularization as suggested by [3] by periodically blurring the generated image. We can solve this problem using gradient ascent on the generated image.\\n\",\"\\n\",\"[2] Karen Simonyan, Andrea Vedaldi, and Andrew Zisserman. \\\"Deep Inside Convolutional Networks: Visualising\\n\",\"Image Classification Models and Saliency Maps\\\", ICLR Workshop 2014.\\n\",\"\\n\",\"[3] Yosinski et al, \\\"Understanding Neural Networks Through Deep Visualization\\\", ICML 2015 Deep Learning Workshop\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"CytnEAZcv_n4\"},\"source\":[\"In `cs231n/net_visualization_pytorch.py` complete the implementation of the `image_visualization_update_step` used in the `create_class_visualization` function below.\\n\",\"Once you have completed that implementation, run the following cells to generate an image of a Tarantula:\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"yUJs-tvov_n4\"},\"source\":[\"from cs231n.net_visualization_pytorch import class_visualization_update_step, jitter, blur_image\\n\",\"def create_class_visualization(target_y, model, dtype, **kwargs):\\n\",\"    \\\"\\\"\\\"\\n\",\"    Generate an image to maximize the score of target_y under a pretrained model.\\n\",\"\\n\",\"    Inputs:\\n\",\"    - target_y: Integer in the range [0, 1000) giving the index of the class\\n\",\"    - model: A pretrained CNN that will be used to generate the image\\n\",\"    - dtype: Torch datatype to use for computations\\n\",\"\\n\",\"    Keyword arguments:\\n\",\"    - l2_reg: Strength of L2 regularization on the image\\n\",\"    - learning_rate: How big of a step to take\\n\",\"    - num_iterations: How many iterations to use\\n\",\"    - blur_every: How often to blur the image as an implicit regularizer\\n\",\"    - max_jitter: How much to gjitter the image as an implicit regularizer\\n\",\"    - show_every: How often to show the intermediate result\\n\",\"    \\\"\\\"\\\"\\n\",\"    model.type(dtype)\\n\",\"    l2_reg = kwargs.pop('l2_reg', 5e-5)                 # Initial value: 1e-3\\n\",\"    learning_rate = kwargs.pop('learning_rate', 5)      # Initial value: 25\\n\",\"    num_iterations = kwargs.pop('num_iterations', 200)  # Initial value: 100\\n\",\"    blur_every = kwargs.pop('blur_every', 1)            # Initial value: 10\\n\",\"    max_jitter = kwargs.pop('max_jitter', 10)           # Initial value: 16\\n\",\"    show_every = kwargs.pop('show_every', 100)          # Initial value: 25\\n\",\"\\n\",\"    # Randomly initialize the image as a PyTorch Tensor, and make it requires gradient.\\n\",\"    img = torch.randn(1, 3, 224, 224).mul_(1.0).type(dtype).requires_grad_()\\n\",\"\\n\",\"    for t in range(num_iterations):\\n\",\"        # Randomly jitter the image a bit; this gives slightly nicer results\\n\",\"        ox, oy = random.randint(0, max_jitter), random.randint(0, max_jitter)\\n\",\"        img.data.copy_(jitter(img.data, ox, oy))\\n\",\"        class_visualization_update_step(img, model, target_y, l2_reg, learning_rate)\\n\",\"        # Undo the random jitter\\n\",\"        img.data.copy_(jitter(img.data, -ox, -oy))\\n\",\"\\n\",\"        # As regularizer, clamp and periodically blur the image\\n\",\"        for c in range(3):\\n\",\"            lo = float(-SQUEEZENET_MEAN[c] / SQUEEZENET_STD[c])\\n\",\"            hi = float((1.0 - SQUEEZENET_MEAN[c]) / SQUEEZENET_STD[c])\\n\",\"            img.data[:, c].clamp_(min=lo, max=hi)\\n\",\"        if t % blur_every == 0:\\n\",\"            blur_image(img.data, sigma=0.5)\\n\",\"\\n\",\"        # Periodically show the image\\n\",\"        if t == 0 or (t + 1) % show_every == 0 or t == num_iterations - 1:\\n\",\"            plt.imshow(deprocess(img.data.clone().cpu()))\\n\",\"            class_name = class_names[target_y]\\n\",\"            plt.title('%s\\\\nIteration %d / %d' % (class_name, t + 1, num_iterations))\\n\",\"            plt.gcf().set_size_inches(4, 4)\\n\",\"            plt.axis('off')\\n\",\"            plt.show()\\n\",\"\\n\",\"    return deprocess(img.data.cpu())\"],\"execution_count\":null,\"outputs\":[]},{\"cell_type\":\"code\",\"metadata\":{\"scrolled\":true,\"id\":\"IWAcLJtdv_n4\",\"colab\":{\"base_uri\":\"https://localhost:8080/\",\"height\":803},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1614288883092,\"user_tz\":-60,\"elapsed\":14815,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"f38b45d9-484a-41f2-9ace-81696a934dd9\"},\"source\":[\"dtype = torch.FloatTensor\\n\",\"# dtype = torch.cuda.FloatTensor # Uncomment this to use GPU\\n\",\"model.type(dtype)\\n\",\"\\n\",\"target_y = 76 # Tarantula\\n\",\"# target_y = 78 # Tick\\n\",\"# target_y = 187 # Yorkshire Terrier\\n\",\"# target_y = 683 # Oboe\\n\",\"# target_y = 366 # Gorilla\\n\",\"# target_y = 604 # Hourglass\\n\",\"out = create_class_visualization(target_y, model, dtype)\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure 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\\n\",\"text/plain\":[\"<Figure 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\\n\",\"text/plain\":[\"<Figure size 288x288 with 1 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"Gd_FvHFBv_n4\"},\"source\":[\"Try out your class visualization on other classes! You should also feel free to play with various hyperparameters to try and improve the quality of the generated image, but this is not required.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"KGFa9g_Tv_n4\",\"colab\":{\"base_uri\":\"https://localhost:8080/\",\"height\":820},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1614288914868,\"user_tz\":-60,\"elapsed\":14671,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"ae1d44f3-5812-447e-b3e4-8776d7ba5ecf\"},\"source\":[\"# target_y = 78 # Tick\\n\",\"# target_y = 187 # Yorkshire Terrier\\n\",\"# target_y = 683 # Oboe\\n\",\"# target_y = 366 # Gorilla\\n\",\"# target_y = 604 # Hourglass\\n\",\"\\n\",\"# target_y = 409 # Analog Clock\\n\",\"# target_y = 532 # Dining Table\\n\",\"target_y = 278 # Kit Fox\\n\",\"\\n\",\"# target_y = np.random.randint(1000)\\n\",\"\\n\",\"print(class_names[target_y])\\n\",\"X = create_class_visualization(target_y, model, dtype)\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"kit fox, Vulpes macrotis\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure 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\\n\",\"text/plain\":[\"<Figure 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\\n\",\"text/plain\":[\"<Figure size 288x288 with 1 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}}]}]}"
  },
  {
    "path": "cs231n/assignment3/README.md",
    "content": "<div>\r\n  <h2 align=\"center\"><a href=\"https://cs231n.github.io\">CS231n: Convolutional Neural Networks for Visual Recognition</a></h2>\r\n  <h2 align=\"center\"><a href=\"https://cs231n.github.io/assignments2020/assignment3/\">Assignment 3 (2020)</a></h3>\r\n</div>\r\n\r\n# Goals\r\n\r\nIn this assignment, you will implement recurrent neural networks and apply them to image captioning on the Microsoft COCO data. You will also explore methods for visualizing the features of a pretrained model on ImageNet, and use this model to implement Style Transfer. Finally, you will train a Generative Adversarial Network to generate images that look like a training dataset!\r\n\r\nThe goals of this assignment are as follows:\r\n\r\n- Understand the architecture of **recurrent neural networks (RNNs)** and how they operate on sequences by sharing weights over time.\r\n- Understand and implement both **Vanilla RNNs** and **Long-Short Term Memory (LSTM)** networks.\r\n- Understand how to combine convolutional neural nets and recurrent nets to implement an **image captioning** system.\r\n- Explore various applications of **image gradients**, including **saliency maps**, **fooling images**, **class visualizations**.\r\n- Understand and implement techniques for image **style transfer**.\r\n- Understand how to train and implement a **Generative Adversarial Network (GAN)** to produce images that resemble samples from a dataset.\r\n\r\n# Questions\r\n\r\n## Q1: Image Captioning with Vanilla RNNs\r\n\r\nThe notebook [``RNN_Captioning.ipynb``](RNN_Captioning.ipynb) will walk you through the implementation of an image captioning system on MS-COCO using vanilla recurrent networks.\r\n\r\n## Q2: Image Captioning with LSTMs\r\n\r\nThe notebook [``LSTM_Captioning.ipynb``](LSTM_Captioning.ipynb) will walk you through the implementation of Long-Short Term Memory (LSTM) RNNs, and apply them to image captioning on MS-COCO.\r\n\r\n## Q3: Network Visualization: Saliency maps, Class Visualization, and Fooling Images\r\n\r\nThe notebook [``NetworkVisualization-PyTorch.ipynb``](NetworkVisualization-PyTorch.ipynb) will introduce the pretrained SqueezeNet model, compute gradients with respect to images, and use them to produce saliency maps and fooling images.\r\n\r\n## Q4: Style Transfer\r\n\r\nIn the notebook [``StyleTransfer-PyTorch.ipynb``](StyleTransfer-PyTorch.ipynb) you will learn how to create images with the content of one image but the style of another.\r\n\r\n## Q5: Generative Adversarial Networks\r\n\r\nIn the notebook [``Generative_Adversarial_Networks_PyTorch.ipynb``](Generative_Adversarial_Networks_PyTorch.ipynb) you will learn how to generate images that match a training dataset, and use these models to improve classifier performance when training on a large amount of unlabeled data and a small amount of labeled data.\r\n"
  },
  {
    "path": "cs231n/assignment3/RNN_Captioning.ipynb",
    "content": "{\"nbformat\":4,\"nbformat_minor\":0,\"metadata\":{\"colab\":{\"name\":\"RNN_Captioning.ipynb\",\"provenance\":[],\"collapsed_sections\":[],\"toc_visible\":true},\"kernelspec\":{\"name\":\"python3\",\"display_name\":\"Python 3\"}},\"cells\":[{\"cell_type\":\"code\",\"metadata\":{\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"id\":\"l0zAJ42uexUv\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1614075883816,\"user_tz\":-60,\"elapsed\":23927,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"b03a8364-47fc-408f-a85b-07412818e7ab\"},\"source\":[\"# this mounts your Google Drive to the Colab VM.\\n\",\"from google.colab import drive\\n\",\"drive.mount('/content/drive', force_remount=True)\\n\",\"\\n\",\"# enter the foldername in your Drive where you have saved the unzipped\\n\",\"# assignment folder, e.g. 'cs231n/assignments/assignment3/'\\n\",\"FOLDERNAME = 'cs231n/assignments/assignment3/'\\n\",\"assert FOLDERNAME is not None, \\\"[!] Enter the foldername.\\\"\\n\",\"\\n\",\"# now that we've mounted your Drive, this ensures that\\n\",\"# the Python interpreter of the Colab VM can load\\n\",\"# python files from within it.\\n\",\"import sys\\n\",\"sys.path.append('/content/drive/My Drive/{}'.format(FOLDERNAME))\\n\",\"\\n\",\"# this downloads the CIFAR-10 dataset to your Drive\\n\",\"# if it doesn't already exist.\\n\",\"%cd drive/My\\\\ Drive/$FOLDERNAME/cs231n/datasets/\\n\",\"!bash get_datasets.sh\\n\",\"%cd /content\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Mounted at /content/drive\\n\",\"/content/drive/My Drive/cs231n/assignments/assignment3/cs231n/datasets\\n\",\"/content\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"tags\":[\"pdf-title\"],\"id\":\"TmxtXGpSexU2\"},\"source\":[\"# Image Captioning with RNNs\\n\",\"In this exercise you will implement a vanilla recurrent neural networks and use them it to train a model that can generate novel captions for images.\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"P-is0fRHexU3\"},\"source\":[\"## Install h5py\\n\",\"The COCO dataset we will be using is stored in HDF5 format. To load HDF5 files, we will need to install the `h5py` Python package. From the command line, run: <br/>\\n\",\"`pip install h5py`  <br/>\\n\",\"If you receive a permissions error, you may need to run the command as root: <br/>\\n\",\"```sudo pip install h5py```\\n\",\"\\n\",\"You can also run commands directly from the Jupyter notebook by prefixing the command with the \\\"!\\\" character:\"]},{\"cell_type\":\"code\",\"metadata\":{\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"id\":\"KWiCy-1WexU4\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1614075897153,\"user_tz\":-60,\"elapsed\":6553,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"bf930fa9-781d-48b4-cf3a-a9d09740afc9\"},\"source\":[\"!pip install h5py\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Requirement already satisfied: h5py in /usr/local/lib/python3.6/dist-packages (2.10.0)\\n\",\"Requirement already satisfied: six in /usr/local/lib/python3.6/dist-packages (from h5py) (1.15.0)\\n\",\"Requirement already satisfied: numpy>=1.7 in /usr/local/lib/python3.6/dist-packages (from h5py) (1.19.5)\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"code\",\"metadata\":{\"tags\":[\"pdf-ignore\"],\"id\":\"WsyzKXwQexU4\"},\"source\":[\"# As usual, a bit of setup\\n\",\"import time, os, json\\n\",\"import numpy as np\\n\",\"import matplotlib.pyplot as plt\\n\",\"\\n\",\"from cs231n.gradient_check import eval_numerical_gradient, eval_numerical_gradient_array\\n\",\"from cs231n.rnn_layers import *\\n\",\"from cs231n.captioning_solver import CaptioningSolver\\n\",\"from cs231n.classifiers.rnn import CaptioningRNN\\n\",\"from cs231n.coco_utils import load_coco_data, sample_coco_minibatch, decode_captions\\n\",\"from cs231n.image_utils import image_from_url\\n\",\"\\n\",\"%matplotlib inline\\n\",\"plt.rcParams['figure.figsize'] = (10.0, 8.0) # set default size of plots\\n\",\"plt.rcParams['image.interpolation'] = 'nearest'\\n\",\"plt.rcParams['image.cmap'] = 'gray'\\n\",\"\\n\",\"# for auto-reloading external modules\\n\",\"# see http://stackoverflow.com/questions/1907993/autoreload-of-modules-in-ipython\\n\",\"%load_ext autoreload\\n\",\"%autoreload 2\\n\",\"\\n\",\"def rel_error(x, y):\\n\",\"    \\\"\\\"\\\" returns relative error \\\"\\\"\\\"\\n\",\"    return np.max(np.abs(x - y) / (np.maximum(1e-8, np.abs(x) + np.abs(y))))\"],\"execution_count\":null,\"outputs\":[]},{\"cell_type\":\"markdown\",\"metadata\":{\"tags\":[\"pdf-ignore\"],\"id\":\"fidmvaapexU5\"},\"source\":[\"# Microsoft COCO\\n\",\"For this exercise we will use the 2014 release of the [Microsoft COCO dataset](http://mscoco.org/) which has become the standard testbed for image captioning. The dataset consists of 80,000 training images and 40,000 validation images, each annotated with 5 captions written by workers on Amazon Mechanical Turk.\\n\",\"\\n\",\"**You should have already downloaded the data by changing to the `cs231n/datasets` directory and running the script `get_assignment3_data.sh`. If you haven't yet done so, run that script now. Warning: the COCO data download is ~1GB.**\\n\",\"\\n\",\"We have preprocessed the data and extracted features for you already. For all images we have extracted features from the fc7 layer of the VGG-16 network pretrained on ImageNet; these features are stored in the files `train2014_vgg16_fc7.h5` and `val2014_vgg16_fc7.h5` respectively. To cut down on processing time and memory requirements, we have reduced the dimensionality of the features from 4096 to 512; these features can be found in the files `train2014_vgg16_fc7_pca.h5` and `val2014_vgg16_fc7_pca.h5`.\\n\",\"\\n\",\"The raw images take up a lot of space (nearly 20GB) so we have not included them in the download. However all images are taken from Flickr, and URLs of the training and validation images are stored in the files `train2014_urls.txt` and `val2014_urls.txt` respectively. This allows you to download images on the fly for visualization. Since images are downloaded on-the-fly, **you must be connected to the internet to view images**.\\n\",\"\\n\",\"Dealing with strings is inefficient, so we will work with an encoded version of the captions. Each word is assigned an integer ID, allowing us to represent a caption by a sequence of integers. The mapping between integer IDs and words is in the file `coco2014_vocab.json`, and you can use the function `decode_captions` from the file `cs231n/coco_utils.py` to convert numpy arrays of integer IDs back into strings.\\n\",\"\\n\",\"There are a couple special tokens that we add to the vocabulary. We prepend a special `<START>` token and append an `<END>` token to the beginning and end of each caption respectively. Rare words are replaced with a special `<UNK>` token (for \\\"unknown\\\"). In addition, since we want to train with minibatches containing captions of different lengths, we pad short captions with a special `<NULL>` token after the `<END>` token and don't compute loss or gradient for `<NULL>` tokens. Since they are a bit of a pain, we have taken care of all implementation details around special tokens for you.\\n\",\"\\n\",\"You can load all of the MS-COCO data (captions, features, URLs, and vocabulary) using the `load_coco_data` function from the file `cs231n/coco_utils.py`. Run the following cell to do so:\"]},{\"cell_type\":\"code\",\"metadata\":{\"tags\":[\"pdf-ignore\"],\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"id\":\"NdUE-wfDexU6\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1614075914141,\"user_tz\":-60,\"elapsed\":5559,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"f6cf726c-f3b8-45ca-9be5-d2c35e2ded90\"},\"source\":[\"# Load COCO data from disk; this returns a dictionary\\n\",\"# We'll work with dimensionality-reduced features for this notebook, but feel\\n\",\"# free to experiment with the original features by changing the flag below.\\n\",\"data = load_coco_data(pca_features=True)\\n\",\"\\n\",\"# Print out all the keys and values from the data dictionary\\n\",\"for k, v in data.items():\\n\",\"    if type(v) == np.ndarray:\\n\",\"        print(k, type(v), v.shape, v.dtype)\\n\",\"    else:\\n\",\"        print(k, type(v), len(v))\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"base dir  /content/drive/My Drive/cs231n/assignments/assignment3/cs231n/datasets/coco_captioning\\n\",\"train_captions <class 'numpy.ndarray'> (400135, 17) int32\\n\",\"train_image_idxs <class 'numpy.ndarray'> (400135,) int32\\n\",\"val_captions <class 'numpy.ndarray'> (195954, 17) int32\\n\",\"val_image_idxs <class 'numpy.ndarray'> (195954,) int32\\n\",\"train_features <class 'numpy.ndarray'> (82783, 512) float32\\n\",\"val_features <class 'numpy.ndarray'> (40504, 512) float32\\n\",\"idx_to_word <class 'list'> 1004\\n\",\"word_to_idx <class 'dict'> 1004\\n\",\"train_urls <class 'numpy.ndarray'> (82783,) <U63\\n\",\"val_urls <class 'numpy.ndarray'> (40504,) <U63\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"9H7bGmAvexU6\"},\"source\":[\"## Look at the data\\n\",\"It is always a good idea to look at examples from the dataset before working with it.\\n\",\"\\n\",\"You can use the `sample_coco_minibatch` function from the file `cs231n/coco_utils.py` to sample minibatches of data from the data structure returned from `load_coco_data`. Run the following to sample a small minibatch of training data and show the images and their captions. Running it multiple times and looking at the results helps you to get a sense of the dataset.\\n\",\"\\n\",\"Note that we decode the captions using the `decode_captions` function and that we download the images on-the-fly using their Flickr URL, so **you must be connected to the internet to view images**.\"]},{\"cell_type\":\"code\",\"metadata\":{\"colab\":{\"base_uri\":\"https://localhost:8080/\",\"height\":1000},\"id\":\"FkBWl36jexU6\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1614010649973,\"user_tz\":-60,\"elapsed\":4547,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"db0200c3-13cf-4168-e446-f43421f3d5ba\"},\"source\":[\"# Sample a minibatch and show the images and captions\\n\",\"batch_size = 3\\n\",\"\\n\",\"captions, features, urls = sample_coco_minibatch(data, batch_size=batch_size)\\n\",\"for i, (caption, url) in enumerate(zip(captions, urls)):\\n\",\"    plt.imshow(image_from_url(url))\\n\",\"    plt.axis('off')\\n\",\"    caption_str = decode_captions(caption, data['idx_to_word'])\\n\",\"    plt.title(caption_str)\\n\",\"    plt.show()\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 720x576 with 1 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\\n\",\"text/plain\":[\"<Figure 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\\n\",\"text/plain\":[\"<Figure size 720x576 with 1 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"ujFD3mGYexU7\"},\"source\":[\"# Recurrent Neural Networks\\n\",\"As discussed in lecture, we will use recurrent neural network (RNN) language models for image captioning. The file `cs231n/rnn_layers.py` contains implementations of different layer types that are needed for recurrent neural networks, and the file `cs231n/classifiers/rnn.py` uses these layers to implement an image captioning model.\\n\",\"\\n\",\"We will first implement different types of RNN layers in `cs231n/rnn_layers.py`.\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"gr65x5baexU7\"},\"source\":[\"# Vanilla RNN: step forward\\n\",\"Open the file `cs231n/rnn_layers.py`. This file implements the forward and backward passes for different types of layers that are commonly used in recurrent neural networks.\\n\",\"\\n\",\"First implement the function `rnn_step_forward` which implements the forward pass for a single timestep of a vanilla recurrent neural network. After doing so run the following to check your implementation. You should see errors on the order of e-8 or less.\"]},{\"cell_type\":\"code\",\"metadata\":{\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"id\":\"vBkAZHSaexU8\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1614011913670,\"user_tz\":-60,\"elapsed\":741,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"a326e85a-2d4b-4da8-86dd-1c883471264e\"},\"source\":[\"N, D, H = 3, 10, 4\\n\",\"\\n\",\"x = np.linspace(-0.4, 0.7, num=N*D).reshape(N, D)\\n\",\"prev_h = np.linspace(-0.2, 0.5, num=N*H).reshape(N, H)\\n\",\"Wx = np.linspace(-0.1, 0.9, num=D*H).reshape(D, H)\\n\",\"Wh = np.linspace(-0.3, 0.7, num=H*H).reshape(H, H)\\n\",\"b = np.linspace(-0.2, 0.4, num=H)\\n\",\"\\n\",\"next_h, _ = rnn_step_forward(x, prev_h, Wx, Wh, b)\\n\",\"expected_next_h = np.asarray([\\n\",\"  [-0.58172089, -0.50182032, -0.41232771, -0.31410098],\\n\",\"  [ 0.66854692,  0.79562378,  0.87755553,  0.92795967],\\n\",\"  [ 0.97934501,  0.99144213,  0.99646691,  0.99854353]])\\n\",\"\\n\",\"print('next_h error: ', rel_error(expected_next_h, next_h))\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"next_h error:  6.292421426471037e-09\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"xyEhQLftexU8\"},\"source\":[\"# Vanilla RNN: step backward\\n\",\"In the file `cs231n/rnn_layers.py` implement the `rnn_step_backward` function. After doing so run the following to numerically gradient check your implementation. You should see errors on the order of `e-8` or less.\"]},{\"cell_type\":\"code\",\"metadata\":{\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"id\":\"o58s_HhhexU8\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1614012785857,\"user_tz\":-60,\"elapsed\":895,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"520e9493-c407-4b92-d058-8d7df9fa3f13\"},\"source\":[\"from cs231n.rnn_layers import rnn_step_forward, rnn_step_backward\\n\",\"np.random.seed(231)\\n\",\"N, D, H = 4, 5, 6\\n\",\"x = np.random.randn(N, D)\\n\",\"h = np.random.randn(N, H)\\n\",\"Wx = np.random.randn(D, H)\\n\",\"Wh = np.random.randn(H, H)\\n\",\"b = np.random.randn(H)\\n\",\"\\n\",\"out, cache = rnn_step_forward(x, h, Wx, Wh, b)\\n\",\"\\n\",\"dnext_h = np.random.randn(*out.shape)\\n\",\"\\n\",\"fx = lambda x: rnn_step_forward(x, h, Wx, Wh, b)[0]\\n\",\"fh = lambda prev_h: rnn_step_forward(x, h, Wx, Wh, b)[0]\\n\",\"fWx = lambda Wx: rnn_step_forward(x, h, Wx, Wh, b)[0]\\n\",\"fWh = lambda Wh: rnn_step_forward(x, h, Wx, Wh, b)[0]\\n\",\"fb = lambda b: rnn_step_forward(x, h, Wx, Wh, b)[0]\\n\",\"\\n\",\"dx_num = eval_numerical_gradient_array(fx, x, dnext_h)\\n\",\"dprev_h_num = eval_numerical_gradient_array(fh, h, dnext_h)\\n\",\"dWx_num = eval_numerical_gradient_array(fWx, Wx, dnext_h)\\n\",\"dWh_num = eval_numerical_gradient_array(fWh, Wh, dnext_h)\\n\",\"db_num = eval_numerical_gradient_array(fb, b, dnext_h)\\n\",\"\\n\",\"dx, dprev_h, dWx, dWh, db = rnn_step_backward(dnext_h, cache)\\n\",\"\\n\",\"print('dx error: ', rel_error(dx_num, dx))\\n\",\"print('dprev_h error: ', rel_error(dprev_h_num, dprev_h))\\n\",\"print('dWx error: ', rel_error(dWx_num, dWx))\\n\",\"print('dWh error: ', rel_error(dWh_num, dWh))\\n\",\"print('db error: ', rel_error(db_num, db))\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"dx error:  4.0192769090159184e-10\\n\",\"dprev_h error:  2.5632975303201374e-10\\n\",\"dWx error:  8.820222259148609e-10\\n\",\"dWh error:  4.703287554560559e-10\\n\",\"db error:  7.30162216654e-11\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"kbaqDv-7exU9\"},\"source\":[\"# Vanilla RNN: forward\\n\",\"Now that you have implemented the forward and backward passes for a single timestep of a vanilla RNN, you will combine these pieces to implement a RNN that processes an entire sequence of data.\\n\",\"\\n\",\"In the file `cs231n/rnn_layers.py`, implement the function `rnn_forward`. This should be implemented using the `rnn_step_forward` function that you defined above. After doing so run the following to check your implementation. You should see errors on the order of `e-7` or less.\"]},{\"cell_type\":\"code\",\"metadata\":{\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"id\":\"Ga_MqEIbexU-\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1614014970140,\"user_tz\":-60,\"elapsed\":1169,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"208c3667-9bf4-413c-af7d-ee1347be02b2\"},\"source\":[\"N, T, D, H = 2, 3, 4, 5\\n\",\"\\n\",\"x = np.linspace(-0.1, 0.3, num=N*T*D).reshape(N, T, D)\\n\",\"h0 = np.linspace(-0.3, 0.1, num=N*H).reshape(N, H)\\n\",\"Wx = np.linspace(-0.2, 0.4, num=D*H).reshape(D, H)\\n\",\"Wh = np.linspace(-0.4, 0.1, num=H*H).reshape(H, H)\\n\",\"b = np.linspace(-0.7, 0.1, num=H)\\n\",\"\\n\",\"h, _ = rnn_forward(x, h0, Wx, Wh, b)\\n\",\"expected_h = np.asarray([\\n\",\"  [\\n\",\"    [-0.42070749, -0.27279261, -0.11074945,  0.05740409,  0.22236251],\\n\",\"    [-0.39525808, -0.22554661, -0.0409454,   0.14649412,  0.32397316],\\n\",\"    [-0.42305111, -0.24223728, -0.04287027,  0.15997045,  0.35014525],\\n\",\"  ],\\n\",\"  [\\n\",\"    [-0.55857474, -0.39065825, -0.19198182,  0.02378408,  0.23735671],\\n\",\"    [-0.27150199, -0.07088804,  0.13562939,  0.33099728,  0.50158768],\\n\",\"    [-0.51014825, -0.30524429, -0.06755202,  0.17806392,  0.40333043]]])\\n\",\"print('h error: ', rel_error(expected_h, h))\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"h error:  7.728466158305164e-08\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"tgpNmprmexU-\"},\"source\":[\"# Vanilla RNN: backward\\n\",\"In the file `cs231n/rnn_layers.py`, implement the backward pass for a vanilla RNN in the function `rnn_backward`. This should run back-propagation over the entire sequence, making calls to the `rnn_step_backward` function that you defined earlier. You should see errors on the order of e-6 or less.\"]},{\"cell_type\":\"code\",\"metadata\":{\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"id\":\"YK2z2HhNexU_\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1614075934720,\"user_tz\":-60,\"elapsed\":857,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"2e4567cf-5f13-4fe5-8170-18a2a8cfc7b3\"},\"source\":[\"np.random.seed(231)\\n\",\"\\n\",\"N, D, T, H = 2, 3, 10, 5\\n\",\"\\n\",\"x = np.random.randn(N, T, D)\\n\",\"h0 = np.random.randn(N, H)\\n\",\"Wx = np.random.randn(D, H)\\n\",\"Wh = np.random.randn(H, H)\\n\",\"b = np.random.randn(H)\\n\",\"\\n\",\"out, cache = rnn_forward(x, h0, Wx, Wh, b)\\n\",\"\\n\",\"dout = np.random.randn(*out.shape)\\n\",\"\\n\",\"dx, dh0, dWx, dWh, db = rnn_backward(dout, cache)\\n\",\"\\n\",\"fx = lambda x: rnn_forward(x, h0, Wx, Wh, b)[0]\\n\",\"fh0 = lambda h0: rnn_forward(x, h0, Wx, Wh, b)[0]\\n\",\"fWx = lambda Wx: rnn_forward(x, h0, Wx, Wh, b)[0]\\n\",\"fWh = lambda Wh: rnn_forward(x, h0, Wx, Wh, b)[0]\\n\",\"fb = lambda b: rnn_forward(x, h0, Wx, Wh, b)[0]\\n\",\"\\n\",\"dx_num = eval_numerical_gradient_array(fx, x, dout)\\n\",\"dh0_num = eval_numerical_gradient_array(fh0, h0, dout)\\n\",\"dWx_num = eval_numerical_gradient_array(fWx, Wx, dout)\\n\",\"dWh_num = eval_numerical_gradient_array(fWh, Wh, dout)\\n\",\"db_num = eval_numerical_gradient_array(fb, b, dout)\\n\",\"\\n\",\"print('dx error: ', rel_error(dx_num, dx))\\n\",\"print('dh0 error: ', rel_error(dh0_num, dh0))\\n\",\"print('dWx error: ', rel_error(dWx_num, dWx))\\n\",\"print('dWh error: ', rel_error(dWh_num, dWh))\\n\",\"print('db error: ', rel_error(db_num, db))\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"dx error:  1.5382468491701097e-09\\n\",\"dh0 error:  3.3839681556240896e-09\\n\",\"dWx error:  7.150535245339328e-09\\n\",\"dWh error:  1.297338408201546e-07\\n\",\"db error:  1.4889022954777414e-10\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"xK0qTuKRexU_\"},\"source\":[\"# Word embedding: forward\\n\",\"In deep learning systems, we commonly represent words using vectors. Each word of the vocabulary will be associated with a vector, and these vectors will be learned jointly with the rest of the system.\\n\",\"\\n\",\"In the file `cs231n/rnn_layers.py`, implement the function `word_embedding_forward` to convert words (represented by integers) into vectors. Run the following to check your implementation. You should see an error on the order of `e-8` or less.\"]},{\"cell_type\":\"code\",\"metadata\":{\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"id\":\"vhnXdq8NexU_\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1614026682442,\"user_tz\":-60,\"elapsed\":796,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"1703ff1b-5e93-499a-880a-df135d3b95be\"},\"source\":[\"N, T, V, D = 2, 4, 5, 3\\n\",\"\\n\",\"x = np.asarray([[0, 3, 1, 2], [2, 1, 0, 3]])\\n\",\"W = np.linspace(0, 1, num=V*D).reshape(V, D)\\n\",\"\\n\",\"out, _ = word_embedding_forward(x, W)\\n\",\"expected_out = np.asarray([\\n\",\" [[ 0.,          0.07142857,  0.14285714],\\n\",\"  [ 0.64285714,  0.71428571,  0.78571429],\\n\",\"  [ 0.21428571,  0.28571429,  0.35714286],\\n\",\"  [ 0.42857143,  0.5,         0.57142857]],\\n\",\" [[ 0.42857143,  0.5,         0.57142857],\\n\",\"  [ 0.21428571,  0.28571429,  0.35714286],\\n\",\"  [ 0.,          0.07142857,  0.14285714],\\n\",\"  [ 0.64285714,  0.71428571,  0.78571429]]])\\n\",\"\\n\",\"print('out error: ', rel_error(expected_out, out))\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"out error:  1.0000000094736443e-08\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"A0zbQUqZexVA\"},\"source\":[\"# Word embedding: backward\\n\",\"Implement the backward pass for the word embedding function in the function `word_embedding_backward`. After doing so run the following to numerically gradient check your implementation. You should see an error on the order of `e-11` or less.\"]},{\"cell_type\":\"code\",\"metadata\":{\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"id\":\"LafPv9FUexVB\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1614026685820,\"user_tz\":-60,\"elapsed\":828,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"47265db8-f7b9-41e0-d254-d66e87041f0e\"},\"source\":[\"np.random.seed(231)\\n\",\"\\n\",\"N, T, V, D = 50, 3, 5, 6\\n\",\"x = np.random.randint(V, size=(N, T))\\n\",\"W = np.random.randn(V, D)\\n\",\"\\n\",\"out, cache = word_embedding_forward(x, W)\\n\",\"dout = np.random.randn(*out.shape)\\n\",\"dW = word_embedding_backward(dout, cache)\\n\",\"\\n\",\"f = lambda W: word_embedding_forward(x, W)[0]\\n\",\"dW_num = eval_numerical_gradient_array(f, W, dout)\\n\",\"\\n\",\"print('dW error: ', rel_error(dW, dW_num))\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"dW error:  3.2774595693100364e-12\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"tags\":[],\"id\":\"s05BCYYvexVB\"},\"source\":[\"# Temporal Affine layer\\n\",\"At every timestep we use an affine function to transform the RNN hidden vector at that timestep into scores for each word in the vocabulary. Because this is very similar to the affine layer that you implemented in assignment 2, we have provided this function for you in the `temporal_affine_forward` and `temporal_affine_backward` functions in the file `cs231n/rnn_layers.py`. Run the following to perform numeric gradient checking on the implementation. You should see errors on the order of e-9 or less.\"]},{\"cell_type\":\"code\",\"metadata\":{\"tags\":[],\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"id\":\"E9Cw8W6GexVB\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1614027147332,\"user_tz\":-60,\"elapsed\":854,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"d04678b6-deae-4437-86b3-fe8bad5fd3a9\"},\"source\":[\"np.random.seed(231)\\n\",\"\\n\",\"# Gradient check for temporal affine layer\\n\",\"N, T, D, M = 2, 3, 4, 5\\n\",\"x = np.random.randn(N, T, D)\\n\",\"w = np.random.randn(D, M)\\n\",\"b = np.random.randn(M)\\n\",\"\\n\",\"out, cache = temporal_affine_forward(x, w, b)\\n\",\"\\n\",\"dout = np.random.randn(*out.shape)\\n\",\"\\n\",\"fx = lambda x: temporal_affine_forward(x, w, b)[0]\\n\",\"fw = lambda w: temporal_affine_forward(x, w, b)[0]\\n\",\"fb = lambda b: temporal_affine_forward(x, w, b)[0]\\n\",\"\\n\",\"dx_num = eval_numerical_gradient_array(fx, x, dout)\\n\",\"dw_num = eval_numerical_gradient_array(fw, w, dout)\\n\",\"db_num = eval_numerical_gradient_array(fb, b, dout)\\n\",\"\\n\",\"dx, dw, db = temporal_affine_backward(dout, cache)\\n\",\"\\n\",\"print('dx error: ', rel_error(dx_num, dx))\\n\",\"print('dw error: ', rel_error(dw_num, dw))\\n\",\"print('db error: ', rel_error(db_num, db))\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"dx error:  2.9215945034030545e-10\\n\",\"dw error:  1.5772088618663602e-10\\n\",\"db error:  3.252200556967514e-11\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"tags\":[],\"id\":\"l0TDGuwPexVB\"},\"source\":[\"# Temporal Softmax loss\\n\",\"In an RNN language model, at every timestep we produce a score for each word in the vocabulary. We know the ground-truth word at each timestep, so we use a softmax loss function to compute loss and gradient at each timestep. We sum the losses over time and average them over the minibatch.\\n\",\"\\n\",\"However there is one wrinkle: since we operate over minibatches and different captions may have different lengths, we append `<NULL>` tokens to the end of each caption so they all have the same length. We don't want these `<NULL>` tokens to count toward the loss or gradient, so in addition to scores and ground-truth labels our loss function also accepts a `mask` array that tells it which elements of the scores count towards the loss.\\n\",\"\\n\",\"Since this is very similar to the softmax loss function you implemented in assignment 1, we have implemented this loss function for you; look at the `temporal_softmax_loss` function in the file `cs231n/rnn_layers.py`.\\n\",\"\\n\",\"Run the following cell to sanity check the loss and perform numeric gradient checking on the function. You should see an error for dx on the order of e-7 or less.\"]},{\"cell_type\":\"code\",\"metadata\":{\"tags\":[],\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"id\":\"T0d5Lk4oexVB\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1614026930924,\"user_tz\":-60,\"elapsed\":2045,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"daee891e-d399-4800-e91c-4f05fe99398f\"},\"source\":[\"# Sanity check for temporal softmax loss\\n\",\"from cs231n.rnn_layers import temporal_softmax_loss\\n\",\"\\n\",\"N, T, V = 100, 1, 10\\n\",\"\\n\",\"def check_loss(N, T, V, p):\\n\",\"    x = 0.001 * np.random.randn(N, T, V)\\n\",\"    y = np.random.randint(V, size=(N, T))\\n\",\"    mask = np.random.rand(N, T) <= p\\n\",\"    print(temporal_softmax_loss(x, y, mask)[0])\\n\",\"  \\n\",\"check_loss(100, 1, 10, 1.0)   # Should be about 2.3\\n\",\"check_loss(100, 10, 10, 1.0)  # Should be about 23\\n\",\"check_loss(5000, 10, 10, 0.1) # Should be within 2.2-2.4\\n\",\"\\n\",\"# Gradient check for temporal softmax loss\\n\",\"N, T, V = 7, 8, 9\\n\",\"\\n\",\"x = np.random.randn(N, T, V)\\n\",\"y = np.random.randint(V, size=(N, T))\\n\",\"mask = (np.random.rand(N, T) > 0.5)\\n\",\"\\n\",\"loss, dx = temporal_softmax_loss(x, y, mask, verbose=False)\\n\",\"\\n\",\"dx_num = eval_numerical_gradient(lambda x: temporal_softmax_loss(x, y, mask)[0], x, verbose=False)\\n\",\"\\n\",\"print('dx error: ', rel_error(dx, dx_num))\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"2.3027781774290146\\n\",\"23.025985953127226\\n\",\"2.2643611790293394\\n\",\"dx error:  2.583585303524283e-08\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"A_CJuTyBexVC\"},\"source\":[\"# RNN for image captioning\\n\",\"Now that you have implemented the necessary layers, you can combine them to build an image captioning model. Open the file `cs231n/classifiers/rnn.py` and look at the `CaptioningRNN` class.\\n\",\"\\n\",\"Implement the forward and backward pass of the model in the `loss` function. For now you only need to implement the case where `cell_type='rnn'` for vanialla RNNs; you will implement the LSTM case later. After doing so, run the following to check your forward pass using a small test case; you should see error on the order of `e-10` or less.\"]},{\"cell_type\":\"code\",\"metadata\":{\"scrolled\":false,\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"id\":\"i62I4FQ1exVC\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1614032289785,\"user_tz\":-60,\"elapsed\":804,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"79fe6347-4455-4cbb-aab6-69834383ec34\"},\"source\":[\"N, D, W, H = 10, 20, 30, 40\\n\",\"word_to_idx = {'<NULL>': 0, 'cat': 2, 'dog': 3}\\n\",\"V = len(word_to_idx)\\n\",\"T = 13\\n\",\"\\n\",\"model = CaptioningRNN(word_to_idx,\\n\",\"          input_dim=D,\\n\",\"          wordvec_dim=W,\\n\",\"          hidden_dim=H,\\n\",\"          cell_type='rnn',\\n\",\"          dtype=np.float64)\\n\",\"\\n\",\"# Set all model parameters to fixed values\\n\",\"for k, v in model.params.items():\\n\",\"    model.params[k] = np.linspace(-1.4, 1.3, num=v.size).reshape(*v.shape)\\n\",\"\\n\",\"features = np.linspace(-1.5, 0.3, num=(N * D)).reshape(N, D)\\n\",\"captions = (np.arange(N * T) % V).reshape(N, T)\\n\",\"\\n\",\"loss, grads = model.loss(features, captions)\\n\",\"expected_loss = 9.83235591003\\n\",\"\\n\",\"print('loss: ', loss)\\n\",\"print('expected loss: ', expected_loss)\\n\",\"print('difference: ', abs(loss - expected_loss))\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"loss:  9.832355910027387\\n\",\"expected loss:  9.83235591003\\n\",\"difference:  2.6130209107577684e-12\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"614meTLYexVC\"},\"source\":[\"Run the following cell to perform numeric gradient checking on the `CaptioningRNN` class; you should see errors around the order of `e-6` or less.\"]},{\"cell_type\":\"code\",\"metadata\":{\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"id\":\"pSFAaw2-exVC\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1614036282177,\"user_tz\":-60,\"elapsed\":1234,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"3d97d044-a0dc-4e09-9446-4222cf7b0aca\"},\"source\":[\"np.random.seed(231)\\n\",\"\\n\",\"batch_size = 2\\n\",\"timesteps = 3\\n\",\"input_dim = 4\\n\",\"wordvec_dim = 5\\n\",\"hidden_dim = 6\\n\",\"word_to_idx = {'<NULL>': 0, 'cat': 2, 'dog': 3}\\n\",\"vocab_size = len(word_to_idx)\\n\",\"\\n\",\"captions = np.random.randint(vocab_size, size=(batch_size, timesteps))\\n\",\"features = np.random.randn(batch_size, input_dim)\\n\",\"\\n\",\"model = CaptioningRNN(word_to_idx,\\n\",\"          input_dim=input_dim,\\n\",\"          wordvec_dim=wordvec_dim,\\n\",\"          hidden_dim=hidden_dim,\\n\",\"          cell_type='rnn',\\n\",\"          dtype=np.float64,\\n\",\"        )\\n\",\"\\n\",\"loss, grads = model.loss(features, captions)\\n\",\"\\n\",\"for param_name in sorted(grads):\\n\",\"    f = lambda _: model.loss(features, captions)[0]\\n\",\"    param_grad_num = eval_numerical_gradient(f, model.params[param_name], verbose=False, h=1e-6)\\n\",\"    e = rel_error(param_grad_num, grads[param_name])\\n\",\"    print('%s relative error: %e' % (param_name, e))\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"W_embed relative error: 2.331070e-09\\n\",\"W_proj relative error: 1.112417e-08\\n\",\"W_vocab relative error: 4.274379e-09\\n\",\"Wh relative error: 5.858117e-09\\n\",\"Wx relative error: 1.590657e-06\\n\",\"b relative error: 9.727211e-10\\n\",\"b_proj relative error: 1.934807e-08\\n\",\"b_vocab relative error: 7.087097e-11\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"OjuLnNk1exVC\"},\"source\":[\"# Overfit small data\\n\",\"Similar to the `Solver` class that we used to train image classification models on the previous assignment, on this assignment we use a `CaptioningSolver` class to train image captioning models. Open the file `cs231n/captioning_solver.py` and read through the `CaptioningSolver` class; it should look very familiar.\\n\",\"\\n\",\"Once you have familiarized yourself with the API, run the following to make sure your model overfits a small sample of 100 training examples. You should see a final loss of less than 0.1.\"]},{\"cell_type\":\"code\",\"metadata\":{\"colab\":{\"base_uri\":\"https://localhost:8080/\",\"height\":720},\"id\":\"v5CED_CyexVD\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1614075999133,\"user_tz\":-60,\"elapsed\":30482,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"cb556bbb-d6d6-417f-b102-adab70f805b3\"},\"source\":[\"np.random.seed(231)\\n\",\"\\n\",\"small_data = load_coco_data(max_train=50)\\n\",\"\\n\",\"small_rnn_model = CaptioningRNN(\\n\",\"          cell_type='rnn',\\n\",\"          word_to_idx=data['word_to_idx'],\\n\",\"          input_dim=data['train_features'].shape[1],\\n\",\"          hidden_dim=512,\\n\",\"          wordvec_dim=256,\\n\",\"        )\\n\",\"\\n\",\"small_rnn_solver = CaptioningSolver(small_rnn_model, small_data,\\n\",\"           update_rule='adam',\\n\",\"           num_epochs=50,\\n\",\"           batch_size=25,\\n\",\"           optim_config={\\n\",\"             'learning_rate': 5e-3,\\n\",\"           },\\n\",\"           lr_decay=0.95,\\n\",\"           verbose=True, print_every=10,\\n\",\"         )\\n\",\"\\n\",\"small_rnn_solver.train()\\n\",\"\\n\",\"# Plot the training losses\\n\",\"plt.plot(small_rnn_solver.loss_history)\\n\",\"plt.xlabel('Iteration')\\n\",\"plt.ylabel('Loss')\\n\",\"plt.title('Training loss history')\\n\",\"plt.show()\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"base dir  /content/drive/My Drive/cs231n/assignments/assignment3/cs231n/datasets/coco_captioning\\n\",\"(Iteration 1 / 100) loss: 76.913487\\n\",\"(Iteration 11 / 100) loss: 21.062729\\n\",\"(Iteration 21 / 100) loss: 4.016257\\n\",\"(Iteration 31 / 100) loss: 0.567182\\n\",\"(Iteration 41 / 100) loss: 0.239398\\n\",\"(Iteration 51 / 100) loss: 0.161974\\n\",\"(Iteration 61 / 100) loss: 0.111529\\n\",\"(Iteration 71 / 100) loss: 0.097580\\n\",\"(Iteration 81 / 100) loss: 0.099065\\n\",\"(Iteration 91 / 100) loss: 0.073967\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 720x576 with 1 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"wjSGHrquexVD\"},\"source\":[\"Print final training loss. You should see a final loss of less than 0.1.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"rnn_final_training_loss\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1614076006208,\"user_tz\":-60,\"elapsed\":4304,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"621a5f91-bc9c-4f6f-d233-f750f1607830\"},\"source\":[\"print('Final loss: ', small_rnn_solver.loss_history[-1])\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Final loss:  0.08207126626105228\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"POrxCt0gexVD\"},\"source\":[\"# Test-time sampling\\n\",\"Unlike classification models, image captioning models behave very differently at training time and at test time. At training time, we have access to the ground-truth caption, so we feed ground-truth words as input to the RNN at each timestep. At test time, we sample from the distribution over the vocabulary at each timestep, and feed the sample as input to the RNN at the next timestep.\\n\",\"\\n\",\"In the file `cs231n/classifiers/rnn.py`, implement the `sample` method for test-time sampling. After doing so, run the following to sample from your overfitted model on both training and validation data. The samples on training data should be very good; the samples on validation data probably won't make sense.\"]},{\"cell_type\":\"code\",\"metadata\":{\"scrolled\":false,\"id\":\"hjqdkanBexVD\",\"colab\":{\"base_uri\":\"https://localhost:8080/\",\"height\":1000},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1614086117196,\"user_tz\":-60,\"elapsed\":4078,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"ae75e217-e32c-44c5-a11d-4aceb95724da\"},\"source\":[\"for split in ['train', 'val']:\\n\",\"    minibatch = sample_coco_minibatch(small_data, split=split, batch_size=2)\\n\",\"    gt_captions, features, urls = minibatch\\n\",\"    gt_captions = decode_captions(gt_captions, data['idx_to_word'])\\n\",\"\\n\",\"    sample_captions = small_rnn_model.sample(features)\\n\",\"    sample_captions = decode_captions(sample_captions, data['idx_to_word'])\\n\",\"\\n\",\"    for gt_caption, sample_caption, url in zip(gt_captions, sample_captions, urls):\\n\",\"        plt.imshow(image_from_url(url))\\n\",\"        plt.title('%s\\\\n%s\\\\nGT:%s' % (split, sample_caption, gt_caption))\\n\",\"        plt.axis('off')\\n\",\"        plt.show()\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure 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\\n\",\"text/plain\":[\"<Figure size 720x576 with 1 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\\n\",\"text/plain\":[\"<Figure 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\\n\",\"text/plain\":[\"<Figure size 720x576 with 1 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}}]},{\"cell_type\":\"markdown\",\"metadata\":{\"tags\":[\"pdf-inline\"],\"id\":\"zLtFIwNkexVE\"},\"source\":[\"# INLINE QUESTION 1\\n\",\"\\n\",\"In our current image captioning setup, our RNN language model produces a word at every timestep as its output. However, an alternate way to pose the problem is to train the network to operate over _characters_ (e.g. 'a', 'b', etc.) as opposed to words, so that at it every timestep, it receives the previous character as input and tries to predict the next character in the sequence. For example, the network might generate a caption like\\n\",\"\\n\",\"'A', ' ', 'c', 'a', 't', ' ', 'o', 'n', ' ', 'a', ' ', 'b', 'e', 'd'\\n\",\"\\n\",\"Can you describe one advantage of an image-captioning model that uses a character-level RNN? Can you also describe one disadvantage? HINT: there are several valid answers, but it might be useful to compare the parameter space of word-level and character-level models.\\n\",\"\\n\",\"**Your Answer:**\\n\",\"\\n\",\"An advantage of the character-level RNN model compared to the word-level one is:\\n\",\"- The size of the encoded input/output in the character-level model is much smaller (that is, we encode only 26 unique letters of the alphabet + the `space`) compared to the word-level model (in which, in the case of COCO dataset, we have to encode 1004 unique words + the `space`). And this results, of course, in a much smaller hidden layers size, i.e. lightweight model.\\n\",\"\\n\",\"A disadvantage of the character-level RNN model compared to the word-level one is:\\n\",\"- The character-level model has to be trained for a much longer time (compared to the word-lavel model). This is due to the fact that in the character-level model we are actually dealing with *letters*. So, in order to learn to generate acceptable image captions, the model have to pass by two phases:\\n\",\"  1. Learn to form correct words from characters.\\n\",\"  2. Learn to form correct sentences from the words.\"]}]}"
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Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"6ab551e2-a47c-4d4d-a511-b1b910d5d02b\"},\"source\":[\"# this mounts your Google Drive to the Colab VM.\\n\",\"from google.colab import drive\\n\",\"drive.mount('/content/drive', force_remount=True)\\n\",\"\\n\",\"# enter the foldername in your Drive where you have saved the unzipped\\n\",\"# assignment folder, e.g. 'cs231n/assignments/assignment3/'\\n\",\"FOLDERNAME = 'cs231n/assignments/assignment3/'\\n\",\"assert FOLDERNAME is not None, \\\"[!] Enter the foldername.\\\"\\n\",\"\\n\",\"# now that we've mounted your Drive, this ensures that\\n\",\"# the Python interpreter of the Colab VM can load\\n\",\"# python files from within it.\\n\",\"import sys\\n\",\"sys.path.append('/content/drive/My Drive/{}'.format(FOLDERNAME))\\n\",\"\\n\",\"# this downloads the CIFAR-10 dataset to your Drive\\n\",\"# if it doesn't already exist.\\n\",\"%cd drive/My\\\\ Drive/$FOLDERNAME/cs231n/datasets/\\n\",\"!bash get_datasets.sh\\n\",\"%cd /content\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Mounted at /content/drive\\n\",\"/content/drive/My Drive/cs231n/assignments/assignment3/cs231n/datasets\\n\",\"/content\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"tags\":[\"pdf-title\"],\"id\":\"LCkCLyyPJtOg\"},\"source\":[\"# Style Transfer\\n\",\"In this notebook we will implement the style transfer technique from [\\\"Image Style Transfer Using Convolutional Neural Networks\\\" (Gatys et al., CVPR 2015)](http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Gatys_Image_Style_Transfer_CVPR_2016_paper.pdf).\\n\",\"\\n\",\"The general idea is to take two images, and produce a new image that reflects the content of one but the artistic \\\"style\\\" of the other. We will do this by first formulating a loss function that matches the content and style of each respective image in the feature space of a deep network, and then performing gradient descent on the pixels of the image itself.\\n\",\"\\n\",\"The deep network we use as a feature extractor is [SqueezeNet](https://arxiv.org/abs/1602.07360), a small model that has been trained on ImageNet. You could use any network, but we chose SqueezeNet here for its small size and efficiency.\\n\",\"\\n\",\"Here's an example of the images you'll be able to produce by the end of this notebook:\\n\",\"\\n\",\"![caption](example_styletransfer.png)\\n\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"tags\":[\"pdf-ignore\"],\"id\":\"TafwtuyFJtOh\"},\"source\":[\"# Part 0: Setup\"]},{\"cell_type\":\"code\",\"metadata\":{\"tags\":[\"pdf-ignore\"],\"id\":\"hYzRU7MCJtOh\"},\"source\":[\"import torch\\n\",\"import torch.nn as nn\\n\",\"import torchvision\\n\",\"import torchvision.transforms as T\\n\",\"import PIL\\n\",\"\\n\",\"import numpy as np\\n\",\"\\n\",\"import matplotlib.pyplot as plt\\n\",\"\\n\",\"from cs231n.image_utils import SQUEEZENET_MEAN, SQUEEZENET_STD\\n\",\"%matplotlib inline\\n\",\"# for auto-reloading external modules\\n\",\"# see http://stackoverflow.com/questions/1907993/autoreload-of-modules-in-ipython\\n\",\"%load_ext autoreload\\n\",\"%autoreload 2\"],\"execution_count\":null,\"outputs\":[]},{\"cell_type\":\"markdown\",\"metadata\":{\"tags\":[\"pdf-ignore\"],\"id\":\"mNgswu8xJtOi\"},\"source\":[\"We provide you with some helper functions to deal with images, since for this part of the assignment we're dealing with real JPEGs, not CIFAR-10 data.\"]},{\"cell_type\":\"code\",\"metadata\":{\"tags\":[\"pdf-ignore\"],\"id\":\"t9c1R91_JtOi\"},\"source\":[\"from cs231n.style_transfer_pytorch import preprocess, deprocess, rescale, rel_error, features_from_img\\n\",\"\\n\",\"CHECKS_PATH = None\\n\",\"\\n\",\"# Local\\n\",\"# CHECKS_PATH = 'style-transfer-checks.npz'\\n\",\"\\n\",\"# Colab\\n\",\"CHECKS_PATH = '/content/drive/My Drive/{}/{}'.format(FOLDERNAME, 'style-transfer-checks.npz')\\n\",\"\\n\",\"assert CHECKS_PATH is not None, \\\"[!] Choose path to style-transfer-checks.npz\\\"\\n\",\"\\n\",\"STYLES_FOLDER = CHECKS_PATH.replace('style-transfer-checks.npz', 'styles')\\n\",\"\\n\",\"answers = dict(np.load(CHECKS_PATH))\\n\"],\"execution_count\":null,\"outputs\":[]},{\"cell_type\":\"markdown\",\"metadata\":{\"tags\":[\"pdf-ignore\"],\"id\":\"-s3GfEiGJtOi\"},\"source\":[\"Pytorch has two separate types for Tensors that contain floating-point numbers: one for operations on the CPU (`torch.FloatTensor`), and one using CUDA for operations on the GPU (`torch.cuda.FloatTensor`).\\n\",\"We'll be using this type variable more later, so we need to set the tensor type to one of them.\"]},{\"cell_type\":\"code\",\"metadata\":{\"tags\":[\"pdf-ignore\"],\"id\":\"P1JsrEy3JtOj\"},\"source\":[\"# dtype = torch.FloatTensor\\n\",\"# Uncomment out the following line if you're on a machine with a GPU set up for PyTorch!\\n\",\"dtype = torch.cuda.FloatTensor \"],\"execution_count\":null,\"outputs\":[]},{\"cell_type\":\"code\",\"metadata\":{\"tags\":[\"pdf-ignore\"],\"colab\":{\"base_uri\":\"https://localhost:8080/\",\"height\":83,\"referenced_widgets\":[\"09222d203ffa41d7a51de7a547975289\",\"d68368186f5040668740f780c06f6443\",\"29c040caf28c46d98b534c7807e5ce78\",\"79935e5557024f6f82b43681b938dd11\",\"f42564beac714d118a836470e3173ffc\",\"ed28728b68eb45a3aab12c7e80932e3e\",\"2f166dfe4853456795c42c32e634cb9b\",\"d978666553034a29a52aacfa43fb0066\"]},\"id\":\"9ucD31oKJtOj\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1614369494698,\"user_tz\":-60,\"elapsed\":13349,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"4cdae10a-8f3d-486f-d177-a47ad4d61154\"},\"source\":[\"# Load the pre-trained SqueezeNet model.\\n\",\"cnn = torchvision.models.squeezenet1_1(pretrained=True).features\\n\",\"cnn.type(dtype)\\n\",\"\\n\",\"# We don't want to train the model any further, so we don't want PyTorch to waste computation \\n\",\"# computing gradients on parameters we're never going to update.\\n\",\"for param in cnn.parameters():\\n\",\"    param.requires_grad = False\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Downloading: \\\"https://download.pytorch.org/models/squeezenet1_1-f364aa15.pth\\\" to /root/.cache/torch/hub/checkpoints/squeezenet1_1-f364aa15.pth\\n\"],\"name\":\"stderr\"},{\"output_type\":\"display_data\",\"data\":{\"application/vnd.jupyter.widget-view+json\":{\"model_id\":\"09222d203ffa41d7a51de7a547975289\",\"version_minor\":0,\"version_major\":2},\"text/plain\":[\"HBox(children=(FloatProgress(value=0.0, max=4966400.0), HTML(value='')))\"]},\"metadata\":{\"tags\":[]}},{\"output_type\":\"stream\",\"text\":[\"\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"ALYN_kuAJtOj\"},\"source\":[\"# Part 1: Computing Loss\\n\",\"\\n\",\"We're going to compute the three components of our loss function now. The loss function is a weighted sum of three terms: content loss + style loss + total variation loss. You'll fill in the functions that compute these weighted terms below.\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"tags\":[\"pdf-ignore\"],\"id\":\"CB-tskhsJtOk\"},\"source\":[\"## Part 1A: Content loss\\n\",\"\\n\",\"We can generate an image that reflects the content of one image and the style of another by incorporating both in our loss function. We want to penalize deviations from the content of the content image and deviations from the style of the style image. We can then use this hybrid loss function to perform gradient descent **not on the parameters** of the model, but instead **on the pixel values** of our original image.\\n\",\"\\n\",\"Let's first write the content loss function. Content loss measures how much the feature map of the generated image differs from the feature map of the source image. We only care about the content representation of one layer of the network (say, layer $\\\\ell$), that has feature maps $A^\\\\ell \\\\in \\\\mathbb{R}^{1 \\\\times C_\\\\ell \\\\times H_\\\\ell \\\\times W_\\\\ell}$. $C_\\\\ell$ is the number of filters/channels in layer $\\\\ell$, $H_\\\\ell$ and $W_\\\\ell$ are the height and width. We will work with reshaped versions of these feature maps that combine all spatial positions into one dimension. Let $F^\\\\ell \\\\in \\\\mathbb{R}^{C_\\\\ell \\\\times M_\\\\ell}$ be the feature map for the current image and $P^\\\\ell \\\\in \\\\mathbb{R}^{C_\\\\ell \\\\times M_\\\\ell}$ be the feature map for the content source image where $M_\\\\ell=H_\\\\ell\\\\times W_\\\\ell$ is the number of elements in each feature map. Each row of $F^\\\\ell$ or $P^\\\\ell$ represents the vectorized activations of a particular filter, convolved over all positions of the image. Finally, let $w_c$ be the weight of the content loss term in the loss function.\\n\",\"\\n\",\"Then the content loss is given by:\\n\",\"\\n\",\"$L_c = w_c \\\\times \\\\sum_{i,j} (F_{ij}^{\\\\ell} - P_{ij}^{\\\\ell})^2$\\n\",\"\\n\",\"Implement `content_loss` in `cs231n/style_transfer_pytorch.py`\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"NeRymXvQJtOk\"},\"source\":[\"Test your content loss. You should see errors less than 0.001.\"]},{\"cell_type\":\"code\",\"metadata\":{\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"id\":\"-UE_XdTfJtOl\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1614369495093,\"user_tz\":-60,\"elapsed\":11372,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"90377d5e-9d64-4b20-fdbe-e27e33c4fd63\"},\"source\":[\"from cs231n.style_transfer_pytorch import content_loss, extract_features, features_from_img\\n\",\"\\n\",\"def content_loss_test(correct):\\n\",\"    content_image = '%s/tubingen.jpg' % (STYLES_FOLDER)\\n\",\"    image_size =  192\\n\",\"    content_layer = 3\\n\",\"    content_weight = 6e-2\\n\",\"    \\n\",\"    c_feats, content_img_var = features_from_img(content_image, image_size, cnn)\\n\",\"    \\n\",\"    bad_img = torch.zeros(*content_img_var.data.size()).type(dtype)\\n\",\"    feats = extract_features(bad_img, cnn)\\n\",\"    \\n\",\"    student_output = content_loss(content_weight, c_feats[content_layer], feats[content_layer]).cpu().data.numpy()\\n\",\"    error = rel_error(correct, student_output)\\n\",\"    print('Maximum error is {:.3f}'.format(error))\\n\",\"\\n\",\"content_loss_test(answers['cl_out'])\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Maximum error is 0.000\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"d2336FXmJtOl\"},\"source\":[\"## Part 1B: Style loss\\n\",\"\\n\",\"Now we can tackle the style loss. For a given layer $\\\\ell$, the style loss is defined as follows:\\n\",\"\\n\",\"First, compute the Gram matrix $G$ which represents the correlations between the values in each channel of the feature map (i.e. the \\\"responses\\\" of the filter responsible for that channel), where $F$ is as above. The Gram matrix is an approximation of the covariance matrix -- it tells us how every channel's values (i.e. that filter's activations) correlate with every other channel's values. If we have $C$ channels, matrix $G$ will be of shape $(C, C)$ to capture these correlations.\\n\",\"\\n\",\"We want the activation statistics of our generated image to match the activation statistics of our style image, and matching the (approximate) covariance is one way to do that. There are a variety of ways you could do this, but the Gram matrix is nice because it's easy to compute and in practice shows good results.\\n\",\"\\n\",\"Given a feature map $F^\\\\ell$ of shape $(C_\\\\ell, H_\\\\ell, W_\\\\ell)$, we can flatten the height and width dimensions so they're just 1 dimension $M_\\\\ell = H_\\\\ell \\\\times W_\\\\ell$: the new shape of $F^\\\\ell$ is $(C_\\\\ell, M_\\\\ell)$. Then, the Gram matrix has shape $(C_\\\\ell, C_\\\\ell)$ where each element is given by the equation:\\n\",\"\\n\",\"$$G_{ij}^\\\\ell  = \\\\sum_k F^{\\\\ell}_{ik} F^{\\\\ell}_{jk}$$\\n\",\"\\n\",\"Assuming $G^\\\\ell$ is the Gram matrix from the feature map of the current image, $A^\\\\ell$ is the Gram Matrix from the feature map of the source style image, and $w_\\\\ell$ a scalar weight term, then the style loss for the layer $\\\\ell$ is simply the weighted Euclidean distance between the two Gram matrices:\\n\",\"\\n\",\"$$L_s^\\\\ell = w_\\\\ell \\\\sum_{i, j} \\\\left(G^\\\\ell_{ij} - A^\\\\ell_{ij}\\\\right)^2$$\\n\",\"\\n\",\"In practice we usually compute the style loss at a set of layers $\\\\mathcal{L}$ rather than just a single layer $\\\\ell$; then the total style loss is the sum of style losses at each layer:\\n\",\"\\n\",\"$$L_s = \\\\sum_{\\\\ell \\\\in \\\\mathcal{L}} L_s^\\\\ell$$\\n\",\"\\n\",\"Begin by implementing the Gram matrix computation function `gram_matrix` inside `cs231n\\\\style_transfer_pytorch.py`:\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"-PGe6zr_JtOm\"},\"source\":[\"Test your Gram matrix code. You should see errors less than 0.001.\"]},{\"cell_type\":\"code\",\"metadata\":{\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"id\":\"nJfs4188JtOm\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1614369495426,\"user_tz\":-60,\"elapsed\":9597,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"4088b0e2-9c80-485e-b5e9-fdb6cfd56bdc\"},\"source\":[\"from cs231n.style_transfer_pytorch import gram_matrix\\n\",\"def gram_matrix_test(correct):\\n\",\"    style_image = '%s/starry_night.jpg' % (STYLES_FOLDER)\\n\",\"    style_size = 192\\n\",\"    feats, _ = features_from_img(style_image, style_size, cnn)\\n\",\"    student_output = gram_matrix(feats[5].clone()).cpu().data.numpy()\\n\",\"    error = rel_error(correct, student_output)\\n\",\"    print('Maximum error is {:.3f}'.format(error))\\n\",\"    \\n\",\"gram_matrix_test(answers['gm_out'])\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Maximum error is 0.000\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"_2tpolK-JtOm\"},\"source\":[\"Next, put it together and implement the style loss function `style_loss` in `cs231n/style_transfer_pytorch.py`\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"-T71E9hxJtOn\"},\"source\":[\"Test your style loss implementation. The error should be less than 0.001.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"7xJhFxmFJtOn\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1614369495427,\"user_tz\":-60,\"elapsed\":8242,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"bae2ebf9-1ecf-47d8-a8db-497ad248b340\"},\"source\":[\"from cs231n.style_transfer_pytorch import style_loss\\n\",\"def style_loss_test(correct):\\n\",\"    content_image = '%s/tubingen.jpg' % (STYLES_FOLDER)\\n\",\"    style_image = '%s/starry_night.jpg' % (STYLES_FOLDER)\\n\",\"    image_size =  192\\n\",\"    style_size = 192\\n\",\"    style_layers = [1, 4, 6, 7]\\n\",\"    style_weights = [300000, 1000, 15, 3]\\n\",\"    \\n\",\"    c_feats, _ = features_from_img(content_image, image_size, cnn)    \\n\",\"    feats, _ = features_from_img(style_image, style_size, cnn)\\n\",\"    style_targets = []\\n\",\"    for idx in style_layers:\\n\",\"        style_targets.append(gram_matrix(feats[idx].clone()))\\n\",\"    \\n\",\"    student_output = style_loss(c_feats, style_layers, style_targets, style_weights).cpu().data.numpy()\\n\",\"    error = rel_error(correct, student_output)\\n\",\"    print('Error is {:.3f}'.format(error))\\n\",\"\\n\",\"    \\n\",\"style_loss_test(answers['sl_out'])\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Error is 0.000\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"-Zi0BtGTJtOo\"},\"source\":[\"## Part 1C: Total-variation regularization\\n\",\"\\n\",\"It turns out that it's helpful to also encourage smoothness in the image. We can do this by adding another term to our loss that penalizes wiggles or \\\"total variation\\\" in the pixel values. \\n\",\"\\n\",\"You can compute the \\\"total variation\\\" as the sum of the squares of differences in the pixel values for all pairs of pixels that are next to each other (horizontally or vertically). Here we sum the total-variation regualarization for each of the 3 input channels (RGB), and weight the total summed loss by the total variation weight, $w_t$:\\n\",\"\\n\",\"$L_{tv} = w_t \\\\times \\\\left(\\\\sum_{c=1}^3\\\\sum_{i=1}^{H-1}\\\\sum_{j=1}^{W} (x_{i+1,j,c} - x_{i,j,c})^2 + \\\\sum_{c=1}^3\\\\sum_{i=1}^{H}\\\\sum_{j=1}^{W - 1} (x_{i,j+1,c} - x_{i,j,c})^2\\\\right)$\\n\",\"\\n\",\"In `cs231/style_transfer_pytorch.py`, fill in the definition for the TV loss term in `tv_loss`. To receive full credit, your implementation should not have any loops.\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"SwmP5hI0JtOo\"},\"source\":[\"Test your TV loss implementation. Error should be less  than 0.0001.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"Uvha5YqQJtOp\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1614369495428,\"user_tz\":-60,\"elapsed\":6914,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"6adbe99b-1a2d-4f23-8135-079ff50ab1f3\"},\"source\":[\"from cs231n.style_transfer_pytorch import tv_loss\\n\",\"from inspect import getsourcelines\\n\",\"import re\\n\",\"\\n\",\"def tv_loss_test(correct):\\n\",\"    content_image = '%s/tubingen.jpg' % (STYLES_FOLDER)\\n\",\"    image_size =  192\\n\",\"    tv_weight = 2e-2\\n\",\"\\n\",\"    content_img = preprocess(PIL.Image.open(content_image), size=image_size).type(dtype)\\n\",\"    \\n\",\"    student_output = tv_loss(content_img, tv_weight).cpu().data.numpy()\\n\",\"    error = rel_error(correct, student_output)\\n\",\"    print('Error is {:.3f}'.format(error))\\n\",\"    lines, _ = getsourcelines(tv_loss)\\n\",\"    used_loop = any(bool(re.search(r\\\"for \\\\S* in\\\", line)) for line in lines)\\n\",\"    if used_loop:\\n\",\"        print(\\\"WARNING!!!! - Your implementation of tv_loss contains a loop! To receive full credit, your implementation should not have any loops\\\")\\n\",\"    \\n\",\"tv_loss_test(answers['tv_out'])\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Error is 0.000\\n\",\"303.47\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"lNFC2580JtOp\"},\"source\":[\"# Part 2: Style Transfer\\n\",\"\\n\",\"Now we're ready to string it all together (you shouldn't have to modify this function):\"]},{\"cell_type\":\"code\",\"metadata\":{\"scrolled\":false,\"tags\":[\"pdf-ignore\"],\"id\":\"BbVpKLJbJtOp\"},\"source\":[\"def style_transfer(content_image, style_image, image_size, style_size, content_layer, content_weight,\\n\",\"                   style_layers, style_weights, tv_weight, init_random = False):\\n\",\"    \\\"\\\"\\\"\\n\",\"    Run style transfer!\\n\",\"    \\n\",\"    Inputs:\\n\",\"    - content_image: filename of content image\\n\",\"    - style_image: filename of style image\\n\",\"    - image_size: size of smallest image dimension (used for content loss and generated image)\\n\",\"    - style_size: size of smallest style image dimension\\n\",\"    - content_layer: layer to use for content loss\\n\",\"    - content_weight: weighting on content loss\\n\",\"    - style_layers: list of layers to use for style loss\\n\",\"    - style_weights: list of weights to use for each layer in style_layers\\n\",\"    - tv_weight: weight of total variation regularization term\\n\",\"    - init_random: initialize the starting image to uniform random noise\\n\",\"    \\\"\\\"\\\"\\n\",\"    \\n\",\"    # Extract features for the content image\\n\",\"    content_img = preprocess(PIL.Image.open(content_image), size=image_size).type(dtype)\\n\",\"    feats = extract_features(content_img, cnn)\\n\",\"    content_target = feats[content_layer].clone()\\n\",\"\\n\",\"    # Extract features for the style image\\n\",\"    style_img = preprocess(PIL.Image.open(style_image), size=style_size).type(dtype)\\n\",\"    feats = extract_features(style_img, cnn)\\n\",\"    style_targets = []\\n\",\"    for idx in style_layers:\\n\",\"        style_targets.append(gram_matrix(feats[idx].clone()))\\n\",\"\\n\",\"    # Initialize output image to content image or nois\\n\",\"    if init_random:\\n\",\"        img = torch.Tensor(content_img.size()).uniform_(0, 1).type(dtype)\\n\",\"    else:\\n\",\"        img = content_img.clone().type(dtype)\\n\",\"\\n\",\"    # We do want the gradient computed on our image!\\n\",\"    img.requires_grad_()\\n\",\"    \\n\",\"    # Set up optimization hyperparameters\\n\",\"    initial_lr = 3.0\\n\",\"    decayed_lr = 0.1\\n\",\"    decay_lr_at = 180\\n\",\"\\n\",\"    # Note that we are optimizing the pixel values of the image by passing\\n\",\"    # in the img Torch tensor, whose requires_grad flag is set to True\\n\",\"    optimizer = torch.optim.Adam([img], lr=initial_lr)\\n\",\"    \\n\",\"    f, axarr = plt.subplots(1,2)\\n\",\"    axarr[0].axis('off')\\n\",\"    axarr[1].axis('off')\\n\",\"    axarr[0].set_title('Content Source Img.')\\n\",\"    axarr[1].set_title('Style Source Img.')\\n\",\"    axarr[0].imshow(deprocess(content_img.cpu()))\\n\",\"    axarr[1].imshow(deprocess(style_img.cpu()))\\n\",\"    plt.show()\\n\",\"    plt.figure()\\n\",\"    \\n\",\"    for t in range(200):\\n\",\"        if t < 190:\\n\",\"            img.data.clamp_(-1.5, 1.5)\\n\",\"        optimizer.zero_grad()\\n\",\"\\n\",\"        feats = extract_features(img, cnn)\\n\",\"        \\n\",\"        # Compute loss\\n\",\"        c_loss = content_loss(content_weight, feats[content_layer], content_target)\\n\",\"        s_loss = style_loss(feats, style_layers, style_targets, style_weights)\\n\",\"        t_loss = tv_loss(img, tv_weight) \\n\",\"        loss = c_loss + s_loss + t_loss\\n\",\"        \\n\",\"        loss.backward()\\n\",\"\\n\",\"        # Perform gradient descents on our image values\\n\",\"        if t == decay_lr_at:\\n\",\"            optimizer = torch.optim.Adam([img], lr=decayed_lr)\\n\",\"        optimizer.step()\\n\",\"\\n\",\"        if t % 100 == 0:\\n\",\"            print('Iteration {}'.format(t))\\n\",\"            plt.axis('off')\\n\",\"            plt.imshow(deprocess(img.data.cpu()))\\n\",\"            plt.show()\\n\",\"    print('Iteration {}'.format(t))\\n\",\"    plt.axis('off')\\n\",\"    plt.imshow(deprocess(img.data.cpu()))\\n\",\"    plt.show()\"],\"execution_count\":null,\"outputs\":[]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"KbT9xFcuJtOp\"},\"source\":[\"## Generate some pretty pictures!\\n\",\"\\n\",\"Try out `style_transfer` on the three different parameter sets below. Make sure to run all three cells. Feel free to add your own, but make sure to include the results of style transfer on the third parameter set (starry night) in your submitted notebook.\\n\",\"\\n\",\"* The `content_image` is the filename of content image.\\n\",\"* The `style_image` is the filename of style image.\\n\",\"* The `image_size` is the size of smallest image dimension of the content image (used for content loss and generated image).\\n\",\"* The `style_size` is the size of smallest style image dimension.\\n\",\"* The `content_layer` specifies which layer to use for content loss.\\n\",\"* The `content_weight` gives weighting on content loss in the overall loss function. Increasing the value of this parameter will make the final image look more realistic (closer to the original content).\\n\",\"* `style_layers` specifies a list of which layers to use for style loss. \\n\",\"* `style_weights` specifies a list of weights to use for each layer in style_layers (each of which will contribute a term to the overall style loss). We generally use higher weights for the earlier style layers because they describe more local/smaller scale features, which are more important to texture than features over larger receptive fields. In general, increasing these weights will make the resulting image look less like the original content and more distorted towards the appearance of the style image.\\n\",\"* `tv_weight` specifies the weighting of total variation regularization in the overall loss function. Increasing this value makes the resulting image look smoother and less jagged, at the cost of lower fidelity to style and content. \\n\",\"\\n\",\"Below the next three cells of code (in which you shouldn't change the hyperparameters), feel free to copy and paste the parameters to play around them and see how the resulting image changes. \"]},{\"cell_type\":\"code\",\"metadata\":{\"colab\":{\"base_uri\":\"https://localhost:8080/\",\"height\":905},\"id\":\"df0TUuVvPfuW\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1614369738999,\"user_tz\":-60,\"elapsed\":4862,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"c125d005-f0d6-4a01-b41d-61292068743a\"},\"source\":[\"# Composition VII + Tubingen\\r\\n\",\"params1 = {\\r\\n\",\"    'content_image': '%s/tubingen.jpg' % (STYLES_FOLDER),\\r\\n\",\"    'style_image': '%s/composition_vii.jpg' % (STYLES_FOLDER),\\r\\n\",\"    'image_size': 192,\\r\\n\",\"    'style_size': 512,\\r\\n\",\"    'content_layer': 3,\\r\\n\",\"    'content_weight': 3e-3,       # Original: 5e-2\\r\\n\",\"    'style_layers': [1, 4],       # Original: (1, 4, 6, 7)\\r\\n\",\"    'style_weights': [2000, 80],  # Original: (20000, 500, 12, 1)\\r\\n\",\"    'tv_weight': 2e-2             # Original: 5e-2\\r\\n\",\"}\\r\\n\",\"\\r\\n\",\"style_transfer(**params1)\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 432x288 with 2 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"Iteration 0\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 432x288 with 1 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"Iteration 100\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 432x288 with 1 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"Iteration 199\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 432x288 with 1 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}}]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"O8Ub6Re1JtOq\",\"colab\":{\"base_uri\":\"https://localhost:8080/\",\"height\":985},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1614369619816,\"user_tz\":-60,\"elapsed\":2863,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"b77db105-48ad-4b5d-e9e9-cfad3ea5050d\"},\"source\":[\"# Scream + Tubingen\\n\",\"params2 = {\\n\",\"    'content_image':'%s/tubingen.jpg' % (STYLES_FOLDER),\\n\",\"    'style_image':'%s/the_scream.jpg' % (STYLES_FOLDER),\\n\",\"    'image_size': 192,\\n\",\"    'style_size': 224,\\n\",\"    'content_layer': 3,\\n\",\"    'content_weight': 3e-3,       # Original: 3e-2\\n\",\"    'style_layers': [1, 4],       # Original: [1, 4, 6, 7]\\n\",\"    'style_weights': [2000, 80],  # Original: [200000, 800, 12, 1]\\n\",\"    'tv_weight': 2e-2\\n\",\"}\\n\",\"\\n\",\"style_transfer(**params2)\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 432x288 with 2 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"Iteration 0\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 432x288 with 1 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"Iteration 100\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 432x288 with 1 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"Iteration 199\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 432x288 with 1 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}}]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"I9KOnBkZJtOr\",\"colab\":{\"base_uri\":\"https://localhost:8080/\",\"height\":912},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1614370005903,\"user_tz\":-60,\"elapsed\":3070,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"a2d9ed17-c828-4c92-fbc5-b3c84d1cd5f5\"},\"source\":[\"# Starry Night + Tubingen\\n\",\"params3 = {\\n\",\"    'content_image': '%s/tubingen.jpg' % (STYLES_FOLDER),\\n\",\"    'style_image': '%s/starry_night.jpg' % (STYLES_FOLDER),\\n\",\"    'image_size': 192,\\n\",\"    'style_size': 192,\\n\",\"    'content_layer': 3,\\n\",\"    'content_weight': 3e-3,         # Original: 6e-2\\n\",\"    'style_layers': [1, 4],         # Original: [1, 4, 6, 7]\\n\",\"    'style_weights': [50000, 100],  # Original: [300000, 1000, 15, 3]\\n\",\"    'tv_weight': 2e-2\\n\",\"}\\n\",\"\\n\",\"style_transfer(**params3)\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 432x288 with 2 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"Iteration 0\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 432x288 with 1 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"Iteration 100\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 432x288 with 1 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"Iteration 199\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 432x288 with 1 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}}]},{\"cell_type\":\"code\",\"metadata\":{\"colab\":{\"base_uri\":\"https://localhost:8080/\",\"height\":980},\"id\":\"rfUxpct99F6r\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1614372365180,\"user_tz\":-60,\"elapsed\":2615,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"00a8fb6f-eb90-458b-abb0-b65effbc8caa\"},\"source\":[\"# Define three custom style images.\\r\\n\",\"# Just uncomment desired \\\"style_image\\\" below.\\r\\n\",\"\\r\\n\",\"style_image = 'ritmo_plastico'\\r\\n\",\"# style_image = 'bicentennial_print'\\r\\n\",\"# style_image = 'horses_seashore'\\r\\n\",\"\\r\\n\",\"# Do not change the code below.\\r\\n\",\"cond_style = style_image == 'bicentennial_print'\\r\\n\",\"params_custom = {\\r\\n\",\"    'content_image': '%s/tubingen.jpg' % (STYLES_FOLDER),\\r\\n\",\"    'style_image': '%s/%s.jpg' % (STYLES_FOLDER, style_image),\\r\\n\",\"    'image_size': 192,\\r\\n\",\"    'style_size': 192,\\r\\n\",\"    'content_layer': 3,\\r\\n\",\"    'content_weight': 6e-3 if cond_style else 3e-3,\\r\\n\",\"    'style_layers': [1, 4],\\r\\n\",\"    'style_weights': [2000, 80] if cond_style else [50000, 100],\\r\\n\",\"    'tv_weight': 5e-2 if cond_style else 2e-2\\r\\n\",\"}\\r\\n\",\"\\r\\n\",\"style_transfer(**params_custom)\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 432x288 with 2 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"Iteration 0\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 432x288 with 1 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"Iteration 100\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 432x288 with 1 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"Iteration 199\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 432x288 with 1 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}}]},{\"cell_type\":\"markdown\",\"metadata\":{\"scrolled\":true,\"id\":\"oodWQClBJtOr\"},\"source\":[\"# Part 3: Feature Inversion\\n\",\"\\n\",\"The code you've written can do another cool thing. In an attempt to understand the types of features that convolutional networks learn to recognize, a recent paper \\\"[Understanding Deep Image Representations by Inverting Them](https://arxiv.org/pdf/1412.0035.pdf)\\\" attempts to reconstruct an image from its feature representation. We can easily implement this idea using image gradients from the pretrained network, which is exactly what we did above (but with two different feature representations).\\n\",\"\\n\",\"Now, if you set the style weights to all be 0 and initialize the starting image to random noise instead of the content source image, you'll reconstruct an image from the feature representation of the content source image. You're starting with total noise, but you should end up with something that looks quite a bit like your original image.\\n\",\"\\n\",\"(Similarly, you could do \\\"texture synthesis\\\" from scratch if you set the content weight to 0 and initialize the starting image to random noise, but we won't ask you to do that here.) \\n\",\"\\n\",\"Run the following cell to try out feature inversion.\\n\",\"\\n\",\"[1] Aravindh Mahendran, Andrea Vedaldi, \\\"Understanding Deep Image Representations by Inverting Them\\\", CVPR 2015\\n\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"09RrcbeMJtOr\",\"colab\":{\"base_uri\":\"https://localhost:8080/\",\"height\":912},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1614372429464,\"user_tz\":-60,\"elapsed\":2853,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"59218ac2-ce7a-4f8c-c1bf-93d89f4ff95c\"},\"source\":[\"# Feature Inversion -- Starry Night + Tubingen\\n\",\"params_inv = {\\n\",\"    'content_image' : '%s/tubingen.jpg' % (STYLES_FOLDER),\\n\",\"    'style_image' : '%s/starry_night.jpg' % (STYLES_FOLDER),\\n\",\"    'image_size' : 192,\\n\",\"    'style_size' : 192,\\n\",\"    'content_layer' : 3,\\n\",\"    'content_weight' : 6e-2,\\n\",\"    'style_layers' : [1, 4, 6, 7],\\n\",\"    'style_weights' : [0, 0, 0, 0], # we discard any contributions from style to the loss\\n\",\"    'tv_weight' : 2e-2,\\n\",\"    'init_random': True # we want to initialize our image to be random\\n\",\"}\\n\",\"\\n\",\"style_transfer(**params_inv)\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 432x288 with 2 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"Iteration 0\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 432x288 with 1 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"Iteration 100\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 432x288 with 1 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"Iteration 199\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 432x288 with 1 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}}]}]}"
  },
  {
    "path": "cs231n/assignment3/cs231n/__init__.py",
    "content": ""
  },
  {
    "path": "cs231n/assignment3/cs231n/captioning_solver.py",
    "content": "from __future__ import print_function, division\nfrom builtins import range\nfrom builtins import object\nimport numpy as np\n\nfrom . import optim\nfrom .coco_utils import sample_coco_minibatch\n\n\nclass CaptioningSolver(object):\n    \"\"\"\n    A CaptioningSolver encapsulates all the logic necessary for training\n    image captioning models. The CaptioningSolver performs stochastic gradient\n    descent using different update rules defined in optim.py.\n\n    The solver accepts both training and validataion data and labels so it can\n    periodically check classification accuracy on both training and validation\n    data to watch out for overfitting.\n\n    To train a model, you will first construct a CaptioningSolver instance,\n    passing the model, dataset, and various options (learning rate, batch size,\n    etc) to the constructor. You will then call the train() method to run the\n    optimization procedure and train the model.\n\n    After the train() method returns, model.params will contain the parameters\n    that performed best on the validation set over the course of training.\n    In addition, the instance variable solver.loss_history will contain a list\n    of all losses encountered during training and the instance variables\n    solver.train_acc_history and solver.val_acc_history will be lists containing\n    the accuracies of the model on the training and validation set at each epoch.\n\n    Example usage might look something like this:\n\n    data = load_coco_data()\n    model = MyAwesomeModel(hidden_dim=100)\n    solver = CaptioningSolver(model, data,\n                    update_rule='sgd',\n                    optim_config={\n                      'learning_rate': 1e-3,\n                    },\n                    lr_decay=0.95,\n                    num_epochs=10, batch_size=100,\n                    print_every=100)\n    solver.train()\n\n\n    A CaptioningSolver works on a model object that must conform to the following\n    API:\n\n    - model.params must be a dictionary mapping string parameter names to numpy\n      arrays containing parameter values.\n\n    - model.loss(features, captions) must be a function that computes\n      training-time loss and gradients, with the following inputs and outputs:\n\n      Inputs:\n      - features: Array giving a minibatch of features for images, of shape (N, D\n      - captions: Array of captions for those images, of shape (N, T) where\n        each element is in the range (0, V].\n\n      Returns:\n      - loss: Scalar giving the loss\n      - grads: Dictionary with the same keys as self.params mapping parameter\n        names to gradients of the loss with respect to those parameters.\n    \"\"\"\n\n    def __init__(self, model, data, **kwargs):\n        \"\"\"\n        Construct a new CaptioningSolver instance.\n\n        Required arguments:\n        - model: A model object conforming to the API described above\n        - data: A dictionary of training and validation data from load_coco_data\n\n        Optional arguments:\n        - update_rule: A string giving the name of an update rule in optim.py.\n          Default is 'sgd'.\n        - optim_config: A dictionary containing hyperparameters that will be\n          passed to the chosen update rule. Each update rule requires different\n          hyperparameters (see optim.py) but all update rules require a\n          'learning_rate' parameter so that should always be present.\n        - lr_decay: A scalar for learning rate decay; after each epoch the learning\n          rate is multiplied by this value.\n        - batch_size: Size of minibatches used to compute loss and gradient during\n          training.\n        - num_epochs: The number of epochs to run for during training.\n        - print_every: Integer; training losses will be printed every print_every\n          iterations.\n        - verbose: Boolean; if set to false then no output will be printed during\n          training.\n        \"\"\"\n        self.model = model\n        self.data = data\n\n        # Unpack keyword arguments\n        self.update_rule = kwargs.pop(\"update_rule\", \"sgd\")\n        self.optim_config = kwargs.pop(\"optim_config\", {})\n        self.lr_decay = kwargs.pop(\"lr_decay\", 1.0)\n        self.batch_size = kwargs.pop(\"batch_size\", 100)\n        self.num_epochs = kwargs.pop(\"num_epochs\", 10)\n\n        self.print_every = kwargs.pop(\"print_every\", 10)\n        self.verbose = kwargs.pop(\"verbose\", True)\n\n        # Throw an error if there are extra keyword arguments\n        if len(kwargs) > 0:\n            extra = \", \".join('\"%s\"' % k for k in list(kwargs.keys()))\n            raise ValueError(\"Unrecognized arguments %s\" % extra)\n\n        # Make sure the update rule exists, then replace the string\n        # name with the actual function\n        if not hasattr(optim, self.update_rule):\n            raise ValueError('Invalid update_rule \"%s\"' % self.update_rule)\n        self.update_rule = getattr(optim, self.update_rule)\n\n        self._reset()\n\n    def _reset(self):\n        \"\"\"\n        Set up some book-keeping variables for optimization. Don't call this\n        manually.\n        \"\"\"\n        # Set up some variables for book-keeping\n        self.epoch = 0\n        self.best_val_acc = 0\n        self.best_params = {}\n        self.loss_history = []\n        self.train_acc_history = []\n        self.val_acc_history = []\n\n        # Make a deep copy of the optim_config for each parameter\n        self.optim_configs = {}\n        for p in self.model.params:\n            d = {k: v for k, v in self.optim_config.items()}\n            self.optim_configs[p] = d\n\n    def _step(self):\n        \"\"\"\n        Make a single gradient update. This is called by train() and should not\n        be called manually.\n        \"\"\"\n        # Make a minibatch of training data\n        minibatch = sample_coco_minibatch(\n            self.data, batch_size=self.batch_size, split=\"train\"\n        )\n        captions, features, urls = minibatch\n\n        # Compute loss and gradient\n        loss, grads = self.model.loss(features, captions)\n        self.loss_history.append(loss)\n\n        # Perform a parameter update\n        for p, w in self.model.params.items():\n            dw = grads[p]\n            config = self.optim_configs[p]\n            next_w, next_config = self.update_rule(w, dw, config)\n            self.model.params[p] = next_w\n            self.optim_configs[p] = next_config\n\n    def check_accuracy(self, X, y, num_samples=None, batch_size=100):\n        \"\"\"\n        Check accuracy of the model on the provided data.\n\n        Inputs:\n        - X: Array of data, of shape (N, d_1, ..., d_k)\n        - y: Array of labels, of shape (N,)\n        - num_samples: If not None, subsample the data and only test the model\n          on num_samples datapoints.\n        - batch_size: Split X and y into batches of this size to avoid using too\n          much memory.\n\n        Returns:\n        - acc: Scalar giving the fraction of instances that were correctly\n          classified by the model.\n        \"\"\"\n        return 0.0\n\n        # Maybe subsample the data\n        N = X.shape[0]\n        if num_samples is not None and N > num_samples:\n            mask = np.random.choice(N, num_samples)\n            N = num_samples\n            X = X[mask]\n            y = y[mask]\n\n        # Compute predictions in batches\n        num_batches = N / batch_size\n        if N % batch_size != 0:\n            num_batches += 1\n        y_pred = []\n        for i in range(num_batches):\n            start = i * batch_size\n            end = (i + 1) * batch_size\n            scores = self.model.loss(X[start:end])\n            y_pred.append(np.argmax(scores, axis=1))\n        y_pred = np.hstack(y_pred)\n        acc = np.mean(y_pred == y)\n\n        return acc\n\n    def train(self):\n        \"\"\"\n        Run optimization to train the model.\n        \"\"\"\n        num_train = self.data[\"train_captions\"].shape[0]\n        iterations_per_epoch = max(num_train // self.batch_size, 1)\n        num_iterations = self.num_epochs * iterations_per_epoch\n\n        for t in range(num_iterations):\n            self._step()\n\n            # Maybe print training loss\n            if self.verbose and t % self.print_every == 0:\n                print(\n                    \"(Iteration %d / %d) loss: %f\"\n                    % (t + 1, num_iterations, self.loss_history[-1])\n                )\n\n            # At the end of every epoch, increment the epoch counter and decay the\n            # learning rate.\n            epoch_end = (t + 1) % iterations_per_epoch == 0\n            if epoch_end:\n                self.epoch += 1\n                for k in self.optim_configs:\n                    self.optim_configs[k][\"learning_rate\"] *= self.lr_decay\n"
  },
  {
    "path": "cs231n/assignment3/cs231n/classifiers/__init__.py",
    "content": ""
  },
  {
    "path": "cs231n/assignment3/cs231n/classifiers/rnn.py",
    "content": "from builtins import range\nfrom builtins import object\nimport numpy as np\n\nfrom ..layers import *\nfrom ..rnn_layers import *\n\n\nclass CaptioningRNN(object):\n    \"\"\"\n    A CaptioningRNN produces captions from image features using a recurrent\n    neural network.\n\n    The RNN receives input vectors of size D, has a vocab size of V, works on\n    sequences of length T, has an RNN hidden dimension of H, uses word vectors\n    of dimension W, and operates on minibatches of size N.\n\n    Note that we don't use any regularization for the CaptioningRNN.\n    \"\"\"\n\n    def __init__(\n        self,\n        word_to_idx,\n        input_dim=512,\n        wordvec_dim=128,\n        hidden_dim=128,\n        cell_type=\"rnn\",\n        dtype=np.float32,\n    ):\n        \"\"\"\n        Construct a new CaptioningRNN instance.\n\n        Inputs:\n        - word_to_idx: A dictionary giving the vocabulary. It contains V entries,\n          and maps each string to a unique integer in the range [0, V).\n        - input_dim: Dimension D of input image feature vectors.\n        - wordvec_dim: Dimension W of word vectors.\n        - hidden_dim: Dimension H for the hidden state of the RNN.\n        - cell_type: What type of RNN to use; either 'rnn' or 'lstm'.\n        - dtype: numpy datatype to use; use float32 for training and float64 for\n          numeric gradient checking.\n        \"\"\"\n        if cell_type not in {\"rnn\", \"lstm\"}:\n            raise ValueError('Invalid cell_type \"%s\"' % cell_type)\n\n        self.cell_type = cell_type\n        self.dtype = dtype\n        self.word_to_idx = word_to_idx\n        self.idx_to_word = {i: w for w, i in word_to_idx.items()}\n        self.params = {}\n\n        vocab_size = len(word_to_idx)\n\n        self._null = word_to_idx[\"<NULL>\"]\n        self._start = word_to_idx.get(\"<START>\", None)\n        self._end = word_to_idx.get(\"<END>\", None)\n\n        # Initialize word vectors\n        self.params[\"W_embed\"] = np.random.randn(vocab_size, wordvec_dim)\n        self.params[\"W_embed\"] /= 100\n\n        # Initialize CNN -> hidden state projection parameters\n        self.params[\"W_proj\"] = np.random.randn(input_dim, hidden_dim)\n        self.params[\"W_proj\"] /= np.sqrt(input_dim)\n        self.params[\"b_proj\"] = np.zeros(hidden_dim)\n\n        # Initialize parameters for the RNN\n        dim_mul = {\"lstm\": 4, \"rnn\": 1}[cell_type]\n        self.params[\"Wx\"] = np.random.randn(wordvec_dim, dim_mul * hidden_dim)\n        self.params[\"Wx\"] /= np.sqrt(wordvec_dim)\n        self.params[\"Wh\"] = np.random.randn(hidden_dim, dim_mul * hidden_dim)\n        self.params[\"Wh\"] /= np.sqrt(hidden_dim)\n        self.params[\"b\"] = np.zeros(dim_mul * hidden_dim)\n\n        # Initialize output to vocab weights\n        self.params[\"W_vocab\"] = np.random.randn(hidden_dim, vocab_size)\n        self.params[\"W_vocab\"] /= np.sqrt(hidden_dim)\n        self.params[\"b_vocab\"] = np.zeros(vocab_size)\n\n        # Cast parameters to correct dtype\n        for k, v in self.params.items():\n            self.params[k] = v.astype(self.dtype)\n\n    def loss(self, features, captions):\n        \"\"\"\n        Compute training-time loss for the RNN. We input image features and\n        ground-truth captions for those images, and use an RNN (or LSTM) to compute\n        loss and gradients on all parameters.\n\n        Inputs:\n        - features: Input image features, of shape (N, D)\n        - captions: Ground-truth captions; an integer array of shape (N, T + 1) where\n          each element is in the range 0 <= y[i, t] < V\n\n        Returns a tuple of:\n        - loss: Scalar loss\n        - grads: Dictionary of gradients parallel to self.params\n        \"\"\"\n        # Cut captions into two pieces: captions_in has everything but the last word\n        # and will be input to the RNN; captions_out has everything but the first\n        # word and this is what we will expect the RNN to generate. These are offset\n        # by one relative to each other because the RNN should produce word (t+1)\n        # after receiving word t. The first element of captions_in will be the START\n        # token, and the first element of captions_out will be the first word.\n        captions_in = captions[:, :-1]\n        captions_out = captions[:, 1:]\n\n        # You'll need this\n        mask = captions_out != self._null\n\n        # Weight and bias for the affine transform from image features to initial\n        # hidden state\n        W_proj, b_proj = self.params[\"W_proj\"], self.params[\"b_proj\"]\n\n        # Word embedding matrix\n        W_embed = self.params[\"W_embed\"]\n\n        # Input-to-hidden, hidden-to-hidden, and biases for the RNN\n        Wx, Wh, b = self.params[\"Wx\"], self.params[\"Wh\"], self.params[\"b\"]\n\n        # Weight and bias for the hidden-to-vocab transformation.\n        W_vocab, b_vocab = self.params[\"W_vocab\"], self.params[\"b_vocab\"]\n\n        loss, grads = 0.0, {}\n        ############################################################################\n        # TODO: Implement the forward and backward passes for the CaptioningRNN.   #\n        # In the forward pass you will need to do the following:                   #\n        # (1) Use an affine transformation to compute the initial hidden state     #\n        #     from the image features. This should produce an array of shape (N, H)#\n        # (2) Use a word embedding layer to transform the words in captions_in     #\n        #     from indices to vectors, giving an array of shape (N, T, W).         #\n        # (3) Use either a vanilla RNN or LSTM (depending on self.cell_type) to    #\n        #     process the sequence of input word vectors and produce hidden state  #\n        #     vectors for all timesteps, producing an array of shape (N, T, H).    #\n        # (4) Use a (temporal) affine transformation to compute scores over the    #\n        #     vocabulary at every timestep using the hidden states, giving an      #\n        #     array of shape (N, T, V).                                            #\n        # (5) Use (temporal) softmax to compute loss using captions_out, ignoring  #\n        #     the points where the output word is <NULL> using the mask above.     #\n        #                                                                          #\n        #                                                                          #\n        # Do not worry about regularizing the weights or their gradients!          #\n        #                                                                          #\n        # In the backward pass you will need to compute the gradient of the loss   #\n        # with respect to all model parameters. Use the loss and grads variables   #\n        # defined above to store loss and gradients; grads[k] should give the      #\n        # gradients for self.params[k].                                            #\n        #                                                                          #\n        # Note also that you are allowed to make use of functions from layers.py   #\n        # in your implementation, if needed.                                       #\n        ############################################################################\n        # *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n        \n        # Implement the forward pass using instructions given above.\n        # Forward Step (1)\n        h0, h0_cache = affine_forward(features, W_proj, b_proj)\n        # Forward Step (2)\n        x, x_cache = word_embedding_forward(captions_in, W_embed)\n        # Forward Step (3)\n        if self.cell_type == 'rnn':\n          h, h_cache = rnn_forward(x, h0, Wx, Wh, b)\n        else:  # Using LSTM\n          h, h_cache = lstm_forward(x, h0, Wx, Wh, b)\n        # Forward Step (4)\n        temp, temp_cache = temporal_affine_forward(h, W_vocab, b_vocab)\n        # Forward Step (5)\n        loss, dout = temporal_softmax_loss(temp, captions_out, mask)\n\n        # Implement the backward pass.\n        # Backward Step (4)\n        dh, dW_vocab, db_vocab = temporal_affine_backward(dout, temp_cache)\n        # Backward Step (3)\n        if self.cell_type == 'rnn':\n          dx, dh0, dWx, dWh, db = rnn_backward(dh, h_cache)\n        else:  # Using LSTM\n          dx, dh0, dWx, dWh, db = lstm_backward(dh, h_cache)\n        # Backward Step (2)\n        dW_embed = word_embedding_backward(dx, x_cache)\n        # Backward Step (1)\n        _, dW_proj, db_proj = affine_backward(dh0, h0_cache)\n\n        grads['W_vocab'] = dW_vocab\n        grads['b_vocab'] = db_vocab\n        grads['Wx'] = dWx\n        grads['Wh'] = dWh\n        grads['b'] = db\n        grads['W_embed'] = dW_embed\n        grads['W_proj'] = dW_proj\n        grads['b_proj'] = db_proj\n\n        # *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n        ############################################################################\n        #                             END OF YOUR CODE                             #\n        ############################################################################\n\n        return loss, grads\n\n    def sample(self, features, max_length=30):\n        \"\"\"\n        Run a test-time forward pass for the model, sampling captions for input\n        feature vectors.\n\n        At each timestep, we embed the current word, pass it and the previous hidden\n        state to the RNN to get the next hidden state, use the hidden state to get\n        scores for all vocab words, and choose the word with the highest score as\n        the next word. The initial hidden state is computed by applying an affine\n        transform to the input image features, and the initial word is the <START>\n        token.\n\n        For LSTMs you will also have to keep track of the cell state; in that case\n        the initial cell state should be zero.\n\n        Inputs:\n        - features: Array of input image features of shape (N, D).\n        - max_length: Maximum length T of generated captions.\n\n        Returns:\n        - captions: Array of shape (N, max_length) giving sampled captions,\n          where each element is an integer in the range [0, V). The first element\n          of captions should be the first sampled word, not the <START> token.\n        \"\"\"\n        N = features.shape[0]\n        captions = self._null * np.ones((N, max_length), dtype=np.int32)\n\n        # Unpack parameters\n        W_proj, b_proj = self.params[\"W_proj\"], self.params[\"b_proj\"]\n        W_embed = self.params[\"W_embed\"]\n        Wx, Wh, b = self.params[\"Wx\"], self.params[\"Wh\"], self.params[\"b\"]\n        W_vocab, b_vocab = self.params[\"W_vocab\"], self.params[\"b_vocab\"]\n\n        ###########################################################################\n        # TODO: Implement test-time sampling for the model. You will need to      #\n        # initialize the hidden state of the RNN by applying the learned affine   #\n        # transform to the input image features. The first word that you feed to  #\n        # the RNN should be the <START> token; its value is stored in the         #\n        # variable self._start. At each timestep you will need to do to:          #\n        # (1) Embed the previous word using the learned word embeddings           #\n        # (2) Make an RNN step using the previous hidden state and the embedded   #\n        #     current word to get the next hidden state.                          #\n        # (3) Apply the learned affine transformation to the next hidden state to #\n        #     get scores for all words in the vocabulary                          #\n        # (4) Select the word with the highest score as the next word, writing it #\n        #     (the word index) to the appropriate slot in the captions variable   #\n        #                                                                         #\n        # For simplicity, you do not need to stop generating after an <END> token #\n        # is sampled, but you can if you want to.                                 #\n        #                                                                         #\n        # HINT: You will not be able to use the rnn_forward or lstm_forward       #\n        # functions; you'll need to call rnn_step_forward or lstm_step_forward in #\n        # a loop.                                                                 #\n        #                                                                         #\n        # NOTE: we are still working over minibatches in this function. Also if   #\n        # you are using an LSTM, initialize the first cell state to zeros.        #\n        ###########################################################################\n        # *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n\n        # Note that for all forward functions, the 'cache' is ignored (by using: _).\n        # Initialize the hidden state by applying the affine transform to the features.\n        h, _ = affine_forward(features, W_proj, b_proj)\n        # For LSTM: Initialize the cell hidden state with a zeroes-matrix of 'h' shape.\n        c = np.zeros_like(h)\n        # Initialize the words feeded to the RNN (for each minibatch sample) with the\n        # <START> token.\n        fwords = self._start\n        # Initialize the encounter mark of the <END> token for each minibatch sample.\n        # In the beginning, for each minibatch sample, the <END> token is not encountered,\n        # thus, 'True' value is assigned for each minibatch sample. This will:\n        # - Stop adding tokens for minibatch samples which have already encountered the <END>.\n        # - Stop generating the tokens for all minibatch samples *if and only if* all the\n        # minibatch samples have already encountered the <END> token.\n        notend = np.full(N, True)\n\n        # Start generating tokens for each minibatch sample.\n        # One token (per sample) per timestep (ts).\n        for ts in range(max_length):\n          # Embed the word (for each sample) using the learned word embeddings.\n          x, _ = word_embedding_forward(fwords, W_embed)\n          # Apply the RNN/LSTM forward step. Output is the next hidden state (h).\n          if self.cell_type == 'rnn':\n            h, _ = rnn_step_forward(x, h, Wx, Wh, b)\n          else:  # Using LSTM\n            h, c, _ = lstm_step_forward(x, h, c, Wx, Wh, b)\n\n          # Reshape \"h\" to fit the temporal affine forward pass, since the latter is applied\n          # to the current timestep 'h' only (and not to the whole timesteps 'h' as it was\n          # designed to).\n          # Reshape \"h\" from (N, D) to (N, T, D), where T=1.\n          hts = np.expand_dims(h, axis=1)\n          # Apply the temporal affine forward pass on the \"hidden state for the current\n          # timestep\" (hts).\n          temp, _ = temporal_affine_forward(hts, W_vocab, b_vocab)\n          # Reshape 'temp' from (N, 1, M) to (N, M).\n          temp = temp.squeeze()\n\n          # Select the word (for each sample) with the highest score.\n          fwords = np.argmax(temp, axis=1)\n\n          # Check if the <END> token is encountered for each sample. If so, mark it.\n          mask = fwords == self._end\n          notend[mask] = False\n          # Check if all the samples have already encountered the <END> token.\n          # If so, stop generating tokens (exit the loop).\n          if not notend.any():\n            break\n\n          # Add current timestep generated word (for each sample) to the caption.\n          # If the <END> token has not been already encountered.\n          captions[notend, ts] = fwords[notend]\n\n        # *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n        ############################################################################\n        #                             END OF YOUR CODE                             #\n        ############################################################################\n        return captions\n"
  },
  {
    "path": "cs231n/assignment3/cs231n/classifiers/squeezenet.py",
    "content": "import tensorflow as tf\n\nNUM_CLASSES = 1000\n\nclass Fire(tf.keras.Model):\n    def __init__(self, inplanes, squeeze_planes, expand1x1_planes, expand3x3_planes,name=None):\n        super(Fire, self).__init__(name='%s/fire'%name)\n        self.inplanes = inplanes\n        self.squeeze = tf.keras.layers.Conv2D(squeeze_planes, input_shape=(inplanes,), kernel_size=1, strides=(1,1), padding=\"VALID\", activation='relu',name='squeeze')\n        self.expand1x1 = tf.keras.layers.Conv2D(expand1x1_planes, kernel_size=1, padding=\"VALID\", strides=(1,1), activation='relu',name='e11')\n        self.expand3x3 = tf.keras.layers.Conv2D(expand3x3_planes, kernel_size=3, padding=\"SAME\", strides=(1,1), activation='relu',name='e33')\n\n    def call(self, x):\n        x = self.squeeze(x)\n        return tf.concat([\n            self.expand1x1(x),\n            self.expand3x3(x)\n        ], axis=3)\n\n\nclass SqueezeNet(tf.keras.Model):\n    def __init__(self, num_classes=NUM_CLASSES):\n        super(SqueezeNet, self).__init__()\n        self.num_classes = num_classes\n\n        self.net = tf.keras.models.Sequential([\n            tf.keras.layers.Conv2D(64, kernel_size=(3, 3), strides=(2,2), padding=\"VALID\", activation='relu', input_shape=(224, 224, 3), name='features/layer0'),\n            tf.keras.layers.MaxPool2D(pool_size=3, strides=2, name='features/layer2'),\n            Fire(64, 16, 64, 64, name='features/layer3'),\n            Fire(128, 16, 64, 64, name='features/layer4'),\n            tf.keras.layers.MaxPool2D(pool_size=3, strides=2, name='features/layer5'),\n            Fire(128, 32, 128, 128, name='features/layer6'),\n            Fire(256, 32, 128, 128, name='features/layer7'),\n            tf.keras.layers.MaxPool2D(pool_size=3, strides=2, name='features/layer8'),\n            Fire(256, 48, 192, 192, name='features/layer9'),\n            Fire(384, 48, 192, 192, name='features/layer10'),\n            Fire(384, 64, 256, 256, name='features/layer11'),\n            Fire(512, 64, 256, 256, name='features/layer12'),\n            tf.keras.layers.Conv2D(self.num_classes, kernel_size=1, padding=\"VALID\",  activation='relu', name='classifier/layer1'),\n            tf.keras.layers.AveragePooling2D(pool_size=13, strides=13, padding=\"VALID\", name='classifier/layer3')\n            ])\n\n    def call(self, x, save_path=None):\n        x = self.net(x)\n        scores = tf.reshape(x, (-1, self.num_classes))\n        return scores\n"
  },
  {
    "path": "cs231n/assignment3/cs231n/coco_utils.py",
    "content": "from builtins import range\nimport os, json\nimport numpy as np\nimport h5py\n\ndir_path = os.path.dirname(os.path.realpath(__file__))\nBASE_DIR = os.path.join(dir_path, \"datasets/coco_captioning\")\n\ndef load_coco_data(base_dir=BASE_DIR, max_train=None, pca_features=True):\n    print('base dir ', base_dir)\n    data = {}\n    caption_file = os.path.join(base_dir, \"coco2014_captions.h5\")\n    with h5py.File(caption_file, \"r\") as f:\n        for k, v in f.items():\n            data[k] = np.asarray(v)\n\n    if pca_features:\n        train_feat_file = os.path.join(base_dir, \"train2014_vgg16_fc7_pca.h5\")\n    else:\n        train_feat_file = os.path.join(base_dir, \"train2014_vgg16_fc7.h5\")\n    with h5py.File(train_feat_file, \"r\") as f:\n        data[\"train_features\"] = np.asarray(f[\"features\"])\n\n    if pca_features:\n        val_feat_file = os.path.join(base_dir, \"val2014_vgg16_fc7_pca.h5\")\n    else:\n        val_feat_file = os.path.join(base_dir, \"val2014_vgg16_fc7.h5\")\n    with h5py.File(val_feat_file, \"r\") as f:\n        data[\"val_features\"] = np.asarray(f[\"features\"])\n\n    dict_file = os.path.join(base_dir, \"coco2014_vocab.json\")\n    with open(dict_file, \"r\") as f:\n        dict_data = json.load(f)\n        for k, v in dict_data.items():\n            data[k] = v\n\n    train_url_file = os.path.join(base_dir, \"train2014_urls.txt\")\n    with open(train_url_file, \"r\") as f:\n        train_urls = np.asarray([line.strip() for line in f])\n    data[\"train_urls\"] = train_urls\n\n    val_url_file = os.path.join(base_dir, \"val2014_urls.txt\")\n    with open(val_url_file, \"r\") as f:\n        val_urls = np.asarray([line.strip() for line in f])\n    data[\"val_urls\"] = val_urls\n\n    # Maybe subsample the training data\n    if max_train is not None:\n        num_train = data[\"train_captions\"].shape[0]\n        mask = np.random.randint(num_train, size=max_train)\n        data[\"train_captions\"] = data[\"train_captions\"][mask]\n        data[\"train_image_idxs\"] = data[\"train_image_idxs\"][mask]\n\n    return data\n\n\ndef decode_captions(captions, idx_to_word):\n    singleton = False\n    if captions.ndim == 1:\n        singleton = True\n        captions = captions[None]\n    decoded = []\n    N, T = captions.shape\n    for i in range(N):\n        words = []\n        for t in range(T):\n            word = idx_to_word[captions[i, t]]\n            if word != \"<NULL>\":\n                words.append(word)\n            if word == \"<END>\":\n                break\n        decoded.append(\" \".join(words))\n    if singleton:\n        decoded = decoded[0]\n    return decoded\n\n\ndef sample_coco_minibatch(data, batch_size=100, split=\"train\"):\n    split_size = data[\"%s_captions\" % split].shape[0]\n    mask = np.random.choice(split_size, batch_size)\n    captions = data[\"%s_captions\" % split][mask]\n    image_idxs = data[\"%s_image_idxs\" % split][mask]\n    image_features = data[\"%s_features\" % split][image_idxs]\n    urls = data[\"%s_urls\" % split][image_idxs]\n    return captions, image_features, urls\n"
  },
  {
    "path": "cs231n/assignment3/cs231n/data_utils.py",
    "content": "from __future__ import print_function\n\nfrom builtins import range\nfrom six.moves import cPickle as pickle\nimport numpy as np\nimport os\nfrom imageio import imread\nimport platform\n\n\ndef load_pickle(f):\n    version = platform.python_version_tuple()\n    if version[0] == \"2\":\n        return pickle.load(f)\n    elif version[0] == \"3\":\n        return pickle.load(f, encoding=\"latin1\")\n    raise ValueError(\"invalid python version: {}\".format(version))\n\n\ndef load_CIFAR_batch(filename):\n    \"\"\" load single batch of cifar \"\"\"\n    with open(filename, \"rb\") as f:\n        datadict = load_pickle(f)\n        X = datadict[\"data\"]\n        Y = datadict[\"labels\"]\n        X = X.reshape(10000, 3, 32, 32).transpose(0, 2, 3, 1).astype(\"float\")\n        Y = np.array(Y)\n        return X, Y\n\n\ndef load_CIFAR10(ROOT):\n    \"\"\" load all of cifar \"\"\"\n    xs = []\n    ys = []\n    for b in range(1, 6):\n        f = os.path.join(ROOT, \"data_batch_%d\" % (b,))\n        X, Y = load_CIFAR_batch(f)\n        xs.append(X)\n        ys.append(Y)\n    Xtr = np.concatenate(xs)\n    Ytr = np.concatenate(ys)\n    del X, Y\n    Xte, Yte = load_CIFAR_batch(os.path.join(ROOT, \"test_batch\"))\n    return Xtr, Ytr, Xte, Yte\n\n\ndef get_CIFAR10_data(\n    num_training=49000, num_validation=1000, num_test=1000, subtract_mean=True\n):\n    \"\"\"\n    Load the CIFAR-10 dataset from disk and perform preprocessing to prepare\n    it for classifiers. These are the same steps as we used for the SVM, but\n    condensed to a single function.\n    \"\"\"\n    # Load the raw CIFAR-10 data\n    cifar10_dir = os.path.join(\n        os.path.dirname(__file__), \"datasets/cifar-10-batches-py\"\n    )\n    X_train, y_train, X_test, y_test = load_CIFAR10(cifar10_dir)\n\n    # Subsample the data\n    mask = list(range(num_training, num_training + num_validation))\n    X_val = X_train[mask]\n    y_val = y_train[mask]\n    mask = list(range(num_training))\n    X_train = X_train[mask]\n    y_train = y_train[mask]\n    mask = list(range(num_test))\n    X_test = X_test[mask]\n    y_test = y_test[mask]\n\n    # Normalize the data: subtract the mean image\n    if subtract_mean:\n        mean_image = np.mean(X_train, axis=0)\n        X_train -= mean_image\n        X_val -= mean_image\n        X_test -= mean_image\n\n    # Transpose so that channels come first\n    X_train = X_train.transpose(0, 3, 1, 2).copy()\n    X_val = X_val.transpose(0, 3, 1, 2).copy()\n    X_test = X_test.transpose(0, 3, 1, 2).copy()\n\n    # Package data into a dictionary\n    return {\n        \"X_train\": X_train,\n        \"y_train\": y_train,\n        \"X_val\": X_val,\n        \"y_val\": y_val,\n        \"X_test\": X_test,\n        \"y_test\": y_test,\n    }\n\n\ndef load_tiny_imagenet(path, dtype=np.float32, subtract_mean=True):\n    \"\"\"\n    Load TinyImageNet. Each of TinyImageNet-100-A, TinyImageNet-100-B, and\n    TinyImageNet-200 have the same directory structure, so this can be used\n    to load any of them.\n\n    Inputs:\n    - path: String giving path to the directory to load.\n    - dtype: numpy datatype used to load the data.\n    - subtract_mean: Whether to subtract the mean training image.\n\n    Returns: A dictionary with the following entries:\n    - class_names: A list where class_names[i] is a list of strings giving the\n      WordNet names for class i in the loaded dataset.\n    - X_train: (N_tr, 3, 64, 64) array of training images\n    - y_train: (N_tr,) array of training labels\n    - X_val: (N_val, 3, 64, 64) array of validation images\n    - y_val: (N_val,) array of validation labels\n    - X_test: (N_test, 3, 64, 64) array of testing images.\n    - y_test: (N_test,) array of test labels; if test labels are not available\n      (such as in student code) then y_test will be None.\n    - mean_image: (3, 64, 64) array giving mean training image\n    \"\"\"\n    # First load wnids\n    with open(os.path.join(path, \"wnids.txt\"), \"r\") as f:\n        wnids = [x.strip() for x in f]\n\n    # Map wnids to integer labels\n    wnid_to_label = {wnid: i for i, wnid in enumerate(wnids)}\n\n    # Use words.txt to get names for each class\n    with open(os.path.join(path, \"words.txt\"), \"r\") as f:\n        wnid_to_words = dict(line.split(\"\\t\") for line in f)\n        for wnid, words in wnid_to_words.items():\n            wnid_to_words[wnid] = [w.strip() for w in words.split(\",\")]\n    class_names = [wnid_to_words[wnid] for wnid in wnids]\n\n    # Next load training data.\n    X_train = []\n    y_train = []\n    for i, wnid in enumerate(wnids):\n        if (i + 1) % 20 == 0:\n            print(\"loading training data for synset %d / %d\" % (i + 1, len(wnids)))\n        # To figure out the filenames we need to open the boxes file\n        boxes_file = os.path.join(path, \"train\", wnid, \"%s_boxes.txt\" % wnid)\n        with open(boxes_file, \"r\") as f:\n            filenames = [x.split(\"\\t\")[0] for x in f]\n        num_images = len(filenames)\n\n        X_train_block = np.zeros((num_images, 3, 64, 64), dtype=dtype)\n        y_train_block = wnid_to_label[wnid] * np.ones(num_images, dtype=np.int64)\n        for j, img_file in enumerate(filenames):\n            img_file = os.path.join(path, \"train\", wnid, \"images\", img_file)\n            img = imread(img_file)\n            if img.ndim == 2:\n                ## grayscale file\n                img.shape = (64, 64, 1)\n            X_train_block[j] = img.transpose(2, 0, 1)\n        X_train.append(X_train_block)\n        y_train.append(y_train_block)\n\n    # We need to concatenate all training data\n    X_train = np.concatenate(X_train, axis=0)\n    y_train = np.concatenate(y_train, axis=0)\n\n    # Next load validation data\n    with open(os.path.join(path, \"val\", \"val_annotations.txt\"), \"r\") as f:\n        img_files = []\n        val_wnids = []\n        for line in f:\n            img_file, wnid = line.split(\"\\t\")[:2]\n            img_files.append(img_file)\n            val_wnids.append(wnid)\n        num_val = len(img_files)\n        y_val = np.array([wnid_to_label[wnid] for wnid in val_wnids])\n        X_val = np.zeros((num_val, 3, 64, 64), dtype=dtype)\n        for i, img_file in enumerate(img_files):\n            img_file = os.path.join(path, \"val\", \"images\", img_file)\n            img = imread(img_file)\n            if img.ndim == 2:\n                img.shape = (64, 64, 1)\n            X_val[i] = img.transpose(2, 0, 1)\n\n    # Next load test images\n    # Students won't have test labels, so we need to iterate over files in the\n    # images directory.\n    img_files = os.listdir(os.path.join(path, \"test\", \"images\"))\n    X_test = np.zeros((len(img_files), 3, 64, 64), dtype=dtype)\n    for i, img_file in enumerate(img_files):\n        img_file = os.path.join(path, \"test\", \"images\", img_file)\n        img = imread(img_file)\n        if img.ndim == 2:\n            img.shape = (64, 64, 1)\n        X_test[i] = img.transpose(2, 0, 1)\n\n    y_test = None\n    y_test_file = os.path.join(path, \"test\", \"test_annotations.txt\")\n    if os.path.isfile(y_test_file):\n        with open(y_test_file, \"r\") as f:\n            img_file_to_wnid = {}\n            for line in f:\n                line = line.split(\"\\t\")\n                img_file_to_wnid[line[0]] = line[1]\n        y_test = [wnid_to_label[img_file_to_wnid[img_file]] for img_file in img_files]\n        y_test = np.array(y_test)\n\n    mean_image = X_train.mean(axis=0)\n    if subtract_mean:\n        X_train -= mean_image[None]\n        X_val -= mean_image[None]\n        X_test -= mean_image[None]\n\n    return {\n        \"class_names\": class_names,\n        \"X_train\": X_train,\n        \"y_train\": y_train,\n        \"X_val\": X_val,\n        \"y_val\": y_val,\n        \"X_test\": X_test,\n        \"y_test\": y_test,\n        \"class_names\": class_names,\n        \"mean_image\": mean_image,\n    }\n\n\ndef load_models(models_dir):\n    \"\"\"\n    Load saved models from disk. This will attempt to unpickle all files in a\n    directory; any files that give errors on unpickling (such as README.txt)\n    will be skipped.\n\n    Inputs:\n    - models_dir: String giving the path to a directory containing model files.\n      Each model file is a pickled dictionary with a 'model' field.\n\n    Returns:\n    A dictionary mapping model file names to models.\n    \"\"\"\n    models = {}\n    for model_file in os.listdir(models_dir):\n        with open(os.path.join(models_dir, model_file), \"rb\") as f:\n            try:\n                models[model_file] = load_pickle(f)[\"model\"]\n            except pickle.UnpicklingError:\n                continue\n    return models\n\n\ndef load_imagenet_val(num=None):\n    \"\"\"Load a handful of validation images from ImageNet.\n\n    Inputs:\n    - num: Number of images to load (max of 25)\n\n    Returns:\n    - X: numpy array with shape [num, 224, 224, 3]\n    - y: numpy array of integer image labels, shape [num]\n    - class_names: dict mapping integer label to class name\n    \"\"\"\n    imagenet_fn = os.path.join(\n        os.path.dirname(__file__), \"datasets/imagenet_val_25.npz\"\n    )\n    if not os.path.isfile(imagenet_fn):\n        print(\"file %s not found\" % imagenet_fn)\n        print(\"Run the following:\")\n        print(\"cd cs231n/datasets\")\n        print(\"bash get_imagenet_val.sh\")\n        assert False, \"Need to download imagenet_val_25.npz\"\n\n    # modify the default parameters of np.load\n    # https://stackoverflow.com/questions/55890813/how-to-fix-object-arrays-cannot-be-loaded-when-allow-pickle-false-for-imdb-loa\n    np_load_old = np.load\n    np.load = lambda *a,**k: np_load_old(*a, allow_pickle=True, **k)\n    f = np.load(imagenet_fn)\n    np.load = np_load_old\n    X = f[\"X\"]\n    y = f[\"y\"]\n    class_names = f[\"label_map\"].item()\n    if num is not None:\n        X = X[:num]\n        y = y[:num]\n    return X, y, class_names\n"
  },
  {
    "path": "cs231n/assignment3/cs231n/datasets/get_assignment3_data.sh",
    "content": "#!/bin/bash\nif [ ! -d \"coco_captioning\" ]; then\n    sh get_coco_captioning.sh\n    sh get_squeezenet_tf.sh\n    sh get_imagenet_val.sh\nfi\n"
  },
  {
    "path": "cs231n/assignment3/cs231n/datasets/get_coco_captioning.sh",
    "content": "wget \"http://cs231n.stanford.edu/coco_captioning.zip\"\nunzip coco_captioning.zip\nrm coco_captioning.zip\n"
  },
  {
    "path": "cs231n/assignment3/cs231n/datasets/get_dataset.sh",
    "content": "#!/bin/bash\nif [ ! -d \"coco_captioning\" ]; then\n    sh get_coco_captioning.sh\n    sh get_squeezenet_tf.sh\n    sh get_imagenet_val.sh\nfi\n"
  },
  {
    "path": "cs231n/assignment3/cs231n/datasets/get_datasets.sh",
    "content": "#!/bin/bash\nif [ ! -d \"coco_captioning\" ]; then\n    sh get_coco_captioning.sh\n    sh get_squeezenet_tf.sh\n    sh get_imagenet_val.sh\nfi\n"
  },
  {
    "path": "cs231n/assignment3/cs231n/datasets/get_imagenet_val.sh",
    "content": "wget http://cs231n.stanford.edu/imagenet_val_25.npz\n"
  },
  {
    "path": "cs231n/assignment3/cs231n/datasets/get_squeezenet_tf.sh",
    "content": "wget \"http://cs231n.stanford.edu/squeezenet_tf2.zip\"\nunzip squeezenet_tf2.zip\nrm squeezenet_tf2.zip\n"
  },
  {
    "path": "cs231n/assignment3/cs231n/fast_layers.py",
    "content": "from __future__ import print_function\nimport numpy as np\n\ntry:\n    from .im2col_cython import col2im_cython, im2col_cython\n    from .im2col_cython import col2im_6d_cython\nexcept ImportError:\n    print(\"\"\"=========== You can safely ignore the message below if you are NOT working on ConvolutionalNetworks.ipynb ===========\"\"\")\n    print(\"\\tYou will need to compile a Cython extension for a portion of this assignment.\")\n    print(\"\\tThe instructions to do this will be given in a section of the notebook below.\")\n    print(\"\\tThere will be an option for Colab users and another for Jupyter (local) users.\")\n\nfrom .im2col import *\n\n\ndef conv_forward_im2col(x, w, b, conv_param):\n    \"\"\"\n    A fast implementation of the forward pass for a convolutional layer\n    based on im2col and col2im.\n    \"\"\"\n    N, C, H, W = x.shape\n    num_filters, _, filter_height, filter_width = w.shape\n    stride, pad = conv_param[\"stride\"], conv_param[\"pad\"]\n\n    # Check dimensions\n    assert (W + 2 * pad - filter_width) % stride == 0, \"width does not work\"\n    assert (H + 2 * pad - filter_height) % stride == 0, \"height does not work\"\n\n    # Create output\n    out_height = (H + 2 * pad - filter_height) // stride + 1\n    out_width = (W + 2 * pad - filter_width) // stride + 1\n    out = np.zeros((N, num_filters, out_height, out_width), dtype=x.dtype)\n\n    # x_cols = im2col_indices(x, w.shape[2], w.shape[3], pad, stride)\n    x_cols = im2col_cython(x, w.shape[2], w.shape[3], pad, stride)\n    res = w.reshape((w.shape[0], -1)).dot(x_cols) + b.reshape(-1, 1)\n\n    out = res.reshape(w.shape[0], out.shape[2], out.shape[3], x.shape[0])\n    out = out.transpose(3, 0, 1, 2)\n\n    cache = (x, w, b, conv_param, x_cols)\n    return out, cache\n\n\ndef conv_forward_strides(x, w, b, conv_param):\n    N, C, H, W = x.shape\n    F, _, HH, WW = w.shape\n    stride, pad = conv_param[\"stride\"], conv_param[\"pad\"]\n\n    # Check dimensions\n    # assert (W + 2 * pad - WW) % stride == 0, 'width does not work'\n    # assert (H + 2 * pad - HH) % stride == 0, 'height does not work'\n\n    # Pad the input\n    p = pad\n    x_padded = np.pad(x, ((0, 0), (0, 0), (p, p), (p, p)), mode=\"constant\")\n\n    # Figure out output dimensions\n    H += 2 * pad\n    W += 2 * pad\n    out_h = (H - HH) // stride + 1\n    out_w = (W - WW) // stride + 1\n\n    # Perform an im2col operation by picking clever strides\n    shape = (C, HH, WW, N, out_h, out_w)\n    strides = (H * W, W, 1, C * H * W, stride * W, stride)\n    strides = x.itemsize * np.array(strides)\n    x_stride = np.lib.stride_tricks.as_strided(x_padded, shape=shape, strides=strides)\n    x_cols = np.ascontiguousarray(x_stride)\n    x_cols.shape = (C * HH * WW, N * out_h * out_w)\n\n    # Now all our convolutions are a big matrix multiply\n    res = w.reshape(F, -1).dot(x_cols) + b.reshape(-1, 1)\n\n    # Reshape the output\n    res.shape = (F, N, out_h, out_w)\n    out = res.transpose(1, 0, 2, 3)\n\n    # Be nice and return a contiguous array\n    # The old version of conv_forward_fast doesn't do this, so for a fair\n    # comparison we won't either\n    out = np.ascontiguousarray(out)\n\n    cache = (x, w, b, conv_param, x_cols)\n    return out, cache\n\n\ndef conv_backward_strides(dout, cache):\n    x, w, b, conv_param, x_cols = cache\n    stride, pad = conv_param[\"stride\"], conv_param[\"pad\"]\n\n    N, C, H, W = x.shape\n    F, _, HH, WW = w.shape\n    _, _, out_h, out_w = dout.shape\n\n    db = np.sum(dout, axis=(0, 2, 3))\n\n    dout_reshaped = dout.transpose(1, 0, 2, 3).reshape(F, -1)\n    dw = dout_reshaped.dot(x_cols.T).reshape(w.shape)\n\n    dx_cols = w.reshape(F, -1).T.dot(dout_reshaped)\n    dx_cols.shape = (C, HH, WW, N, out_h, out_w)\n    dx = col2im_6d_cython(dx_cols, N, C, H, W, HH, WW, pad, stride)\n\n    return dx, dw, db\n\n\ndef conv_backward_im2col(dout, cache):\n    \"\"\"\n    A fast implementation of the backward pass for a convolutional layer\n    based on im2col and col2im.\n    \"\"\"\n    x, w, b, conv_param, x_cols = cache\n    stride, pad = conv_param[\"stride\"], conv_param[\"pad\"]\n\n    db = np.sum(dout, axis=(0, 2, 3))\n\n    num_filters, _, filter_height, filter_width = w.shape\n    dout_reshaped = dout.transpose(1, 2, 3, 0).reshape(num_filters, -1)\n    dw = dout_reshaped.dot(x_cols.T).reshape(w.shape)\n\n    dx_cols = w.reshape(num_filters, -1).T.dot(dout_reshaped)\n    # dx = col2im_indices(dx_cols, x.shape, filter_height, filter_width, pad, stride)\n    dx = col2im_cython(\n        dx_cols,\n        x.shape[0],\n        x.shape[1],\n        x.shape[2],\n        x.shape[3],\n        filter_height,\n        filter_width,\n        pad,\n        stride,\n    )\n\n    return dx, dw, db\n\n\nconv_forward_fast = conv_forward_strides\nconv_backward_fast = conv_backward_strides\n\n\ndef max_pool_forward_fast(x, pool_param):\n    \"\"\"\n    A fast implementation of the forward pass for a max pooling layer.\n\n    This chooses between the reshape method and the im2col method. If the pooling\n    regions are square and tile the input image, then we can use the reshape\n    method which is very fast. Otherwise we fall back on the im2col method, which\n    is not much faster than the naive method.\n    \"\"\"\n    N, C, H, W = x.shape\n    pool_height, pool_width = pool_param[\"pool_height\"], pool_param[\"pool_width\"]\n    stride = pool_param[\"stride\"]\n\n    same_size = pool_height == pool_width == stride\n    tiles = H % pool_height == 0 and W % pool_width == 0\n    if same_size and tiles:\n        out, reshape_cache = max_pool_forward_reshape(x, pool_param)\n        cache = (\"reshape\", reshape_cache)\n    else:\n        out, im2col_cache = max_pool_forward_im2col(x, pool_param)\n        cache = (\"im2col\", im2col_cache)\n    return out, cache\n\n\ndef max_pool_backward_fast(dout, cache):\n    \"\"\"\n    A fast implementation of the backward pass for a max pooling layer.\n\n    This switches between the reshape method an the im2col method depending on\n    which method was used to generate the cache.\n    \"\"\"\n    method, real_cache = cache\n    if method == \"reshape\":\n        return max_pool_backward_reshape(dout, real_cache)\n    elif method == \"im2col\":\n        return max_pool_backward_im2col(dout, real_cache)\n    else:\n        raise ValueError('Unrecognized method \"%s\"' % method)\n\n\ndef max_pool_forward_reshape(x, pool_param):\n    \"\"\"\n    A fast implementation of the forward pass for the max pooling layer that uses\n    some clever reshaping.\n\n    This can only be used for square pooling regions that tile the input.\n    \"\"\"\n    N, C, H, W = x.shape\n    pool_height, pool_width = pool_param[\"pool_height\"], pool_param[\"pool_width\"]\n    stride = pool_param[\"stride\"]\n    assert pool_height == pool_width == stride, \"Invalid pool params\"\n    assert H % pool_height == 0\n    assert W % pool_height == 0\n    x_reshaped = x.reshape(\n        N, C, H // pool_height, pool_height, W // pool_width, pool_width\n    )\n    out = x_reshaped.max(axis=3).max(axis=4)\n\n    cache = (x, x_reshaped, out)\n    return out, cache\n\n\ndef max_pool_backward_reshape(dout, cache):\n    \"\"\"\n    A fast implementation of the backward pass for the max pooling layer that\n    uses some clever broadcasting and reshaping.\n\n    This can only be used if the forward pass was computed using\n    max_pool_forward_reshape.\n\n    NOTE: If there are multiple argmaxes, this method will assign gradient to\n    ALL argmax elements of the input rather than picking one. In this case the\n    gradient will actually be incorrect. However this is unlikely to occur in\n    practice, so it shouldn't matter much. One possible solution is to split the\n    upstream gradient equally among all argmax elements; this should result in a\n    valid subgradient. You can make this happen by uncommenting the line below;\n    however this results in a significant performance penalty (about 40% slower)\n    and is unlikely to matter in practice so we don't do it.\n    \"\"\"\n    x, x_reshaped, out = cache\n\n    dx_reshaped = np.zeros_like(x_reshaped)\n    out_newaxis = out[:, :, :, np.newaxis, :, np.newaxis]\n    mask = x_reshaped == out_newaxis\n    dout_newaxis = dout[:, :, :, np.newaxis, :, np.newaxis]\n    dout_broadcast, _ = np.broadcast_arrays(dout_newaxis, dx_reshaped)\n    dx_reshaped[mask] = dout_broadcast[mask]\n    dx_reshaped /= np.sum(mask, axis=(3, 5), keepdims=True)\n    dx = dx_reshaped.reshape(x.shape)\n\n    return dx\n\n\ndef max_pool_forward_im2col(x, pool_param):\n    \"\"\"\n    An implementation of the forward pass for max pooling based on im2col.\n\n    This isn't much faster than the naive version, so it should be avoided if\n    possible.\n    \"\"\"\n    N, C, H, W = x.shape\n    pool_height, pool_width = pool_param[\"pool_height\"], pool_param[\"pool_width\"]\n    stride = pool_param[\"stride\"]\n\n    assert (H - pool_height) % stride == 0, \"Invalid height\"\n    assert (W - pool_width) % stride == 0, \"Invalid width\"\n\n    out_height = (H - pool_height) // stride + 1\n    out_width = (W - pool_width) // stride + 1\n\n    x_split = x.reshape(N * C, 1, H, W)\n    x_cols = im2col(x_split, pool_height, pool_width, padding=0, stride=stride)\n    x_cols_argmax = np.argmax(x_cols, axis=0)\n    x_cols_max = x_cols[x_cols_argmax, np.arange(x_cols.shape[1])]\n    out = x_cols_max.reshape(out_height, out_width, N, C).transpose(2, 3, 0, 1)\n\n    cache = (x, x_cols, x_cols_argmax, pool_param)\n    return out, cache\n\n\ndef max_pool_backward_im2col(dout, cache):\n    \"\"\"\n    An implementation of the backward pass for max pooling based on im2col.\n\n    This isn't much faster than the naive version, so it should be avoided if\n    possible.\n    \"\"\"\n    x, x_cols, x_cols_argmax, pool_param = cache\n    N, C, H, W = x.shape\n    pool_height, pool_width = pool_param[\"pool_height\"], pool_param[\"pool_width\"]\n    stride = pool_param[\"stride\"]\n\n    dout_reshaped = dout.transpose(2, 3, 0, 1).flatten()\n    dx_cols = np.zeros_like(x_cols)\n    dx_cols[x_cols_argmax, np.arange(dx_cols.shape[1])] = dout_reshaped\n    dx = col2im_indices(\n        dx_cols, (N * C, 1, H, W), pool_height, pool_width, padding=0, stride=stride\n    )\n    dx = dx.reshape(x.shape)\n\n    return dx\n"
  },
  {
    "path": "cs231n/assignment3/cs231n/gan_pytorch.py",
    "content": "import numpy as np\n\nimport torch\nimport torch.nn as nn\nimport torchvision\nimport torchvision.transforms as T\nimport torch.optim as optim\nfrom torch.utils.data import sampler\n\nimport PIL\n\nNOISE_DIM = 96\n\ndtype = torch.FloatTensor\n#dtype = torch.cuda.FloatTensor ## UNCOMMENT THIS LINE IF YOU'RE ON A GPU!\n\ndef sample_noise(batch_size, dim, seed=None):\n    \"\"\"\n    Generate a PyTorch Tensor of uniform random noise.\n\n    Input: \n    - batch_size: Integer giving the batch size of noise to generate.\n    - dim: Integer giving the dimension of noise to generate.\n    \n    Output:\n    - A PyTorch Tensor of shape (batch_size, dim) containing uniform\n      random noise in the range (-1, 1).\n    \"\"\"\n    if seed is not None:\n        torch.manual_seed(seed)\n        \n    # *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n\n    # The generated noise values (from uniform distribution) must be in\n    # the interval [-1,1].\n    # However, \"torch.rand\" generates random values in [0,1].\n    # For that, we must use a `transformation`, from [0,1] to [-1,1].\n    # -----\n    # The idea is given below (from: https://stackoverflow.com/a/44375813)\n    # If U is a random variable uniformly distributed on [0,1],\n    # then `(r1 - r2) * U + r2` is uniformly distributed on [r1,r2].\n    # -----\n    # In our case, `r1`=-1 and `r2`=1\n    noise = -2 * torch.rand((batch_size, dim)) + 1\n\n    return noise\n\n    # *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n    \ndef discriminator(seed=None):\n    \"\"\"\n    Build and return a PyTorch model implementing the architecture above.\n    \"\"\"\n\n    if seed is not None:\n        torch.manual_seed(seed)\n\n    model = None\n\n    ##############################################################################\n    # TODO: Implement architecture                                               #\n    #                                                                            #\n    # HINT: nn.Sequential might be helpful.                                      #\n    ##############################################################################\n    # *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n\n    model = nn.Sequential(\n      Flatten(),\n      nn.Linear(784, 256),  # 1st Fully-Connected layer.\n      nn.LeakyReLU(0.01),\n      nn.Linear(256, 256),  # 2nd Fully-Connected layer.\n      nn.LeakyReLU(0.01),\n      nn.Linear(256, 1)     # 3rd Fully-Connected layer.\n    )\n\n    # *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n    ##############################################################################\n    #                               END OF YOUR CODE                             #\n    ##############################################################################\n    return model\n    \ndef generator(noise_dim=NOISE_DIM, seed=None):\n    \"\"\"\n    Build and return a PyTorch model implementing the architecture above.\n    \"\"\"\n\n    if seed is not None:\n        torch.manual_seed(seed)\n\n    model = None\n\n    ##############################################################################\n    # TODO: Implement architecture                                               #\n    #                                                                            #\n    # HINT: nn.Sequential might be helpful.                                      #\n    ##############################################################################\n    # *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n\n    model = nn.Sequential(\n      nn.Linear(noise_dim, 1024),  # 1st Fully-Connected layer.\n      nn.ReLU(),\n      nn.Linear(1024, 1024),       # 2nd Fully-Connected layer.\n      nn.ReLU(),\n      nn.Linear(1024, 784),        # 3rd Fully-Connected layer.\n      nn.Tanh()\n    )\n\n    # *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n    ##############################################################################\n    #                               END OF YOUR CODE                             #\n    ##############################################################################\n    return model\n\ndef bce_loss(input, target):\n    \"\"\"\n    Numerically stable version of the binary cross-entropy loss function.\n\n    As per https://github.com/pytorch/pytorch/issues/751\n    See the TensorFlow docs for a derivation of this formula:\n    https://www.tensorflow.org/api_docs/python/tf/nn/sigmoid_cross_entropy_with_logits\n\n    Inputs:\n    - input: PyTorch Tensor of shape (N, ) giving scores.\n    - target: PyTorch Tensor of shape (N,) containing 0 and 1 giving targets.\n\n    Returns:\n    - A PyTorch Tensor containing the mean BCE loss over the minibatch of input data.\n    \"\"\"\n    neg_abs = - input.abs()\n    loss = input.clamp(min=0) - input * target + (1 + neg_abs.exp()).log()\n    return loss.mean()\n\ndef discriminator_loss(logits_real, logits_fake):\n    \"\"\"\n    Computes the discriminator loss described above.\n    \n    Inputs:\n    - logits_real: PyTorch Tensor of shape (N,) giving scores for the real data.\n    - logits_fake: PyTorch Tensor of shape (N,) giving scores for the fake data.\n    \n    Returns:\n    - loss: PyTorch Tensor containing (scalar) the loss for the discriminator.\n    \"\"\"\n    loss = None\n    # *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n\n    # For the discriminator (D), the true target (y = 1) corresponds to \"real\" images.\n    # Thus, for the scores of real images, the target is always 1 (a vector).\n    real_labels = torch.ones_like(logits_real).type(dtype)\n    # Compute the BCE for the scores of the real images.\n    # Note that the BCE itself uses the Expectation formula (in addition, an average is\n    # taken throughout the losses, not a sum [as requested in this assignment]).\n    real_loss = bce_loss(logits_real, real_labels)\n\n    # For D, the false target (y = 0) corresponds to \"fake\" images.\n    # Thus, for the scores of fake images, the target is always 0 (a vector).\n    fake_labels = torch.zeros_like(logits_fake).type(dtype)\n    # As for the real scores, compute the BCE loss for the fake images.\n    fake_loss = bce_loss(logits_fake, fake_labels)\n\n    # Sum \"real\" and \"fake\" losses.\n    # That is, BCE has already taken into account the \"negated equation\" form,\n    # the \"log\" (in the Expectation) and the \"mean\" (insetead on the \"sum\").\n    loss = real_loss + fake_loss\n\n    # *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n    return loss\n\ndef generator_loss(logits_fake):\n    \"\"\"\n    Computes the generator loss described above.\n\n    Inputs:\n    - logits_fake: PyTorch Tensor of shape (N,) giving scores for the fake data.\n    \n    Returns:\n    - loss: PyTorch Tensor containing the (scalar) loss for the generator.\n    \"\"\"\n    loss = None\n    # *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n\n    # For the generator (G), the true target (y = 1) corresponds to \"fake\" images.\n    # Thus, for the scores of fake images, the target is always 1 (a vector).\n    fake_labels = torch.ones_like(logits_fake).type(dtype)\n    # Compute the BCE for the scores of the fake images.\n    fake_loss = bce_loss(logits_fake, fake_labels)\n\n    # The generator loss is \"fake_loss\".\n    # That is, BCE has already taken into account the \"negated equation\" form,\n    # the \"log\" (in the Expectation) and the \"mean\" (insetead on the \"sum\").\n    loss = fake_loss\n\n    # *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n    return loss\n\ndef get_optimizer(model):\n    \"\"\"\n    Construct and return an Adam optimizer for the model with learning rate 1e-3,\n    beta1=0.5, and beta2=0.999.\n    \n    Input:\n    - model: A PyTorch model that we want to optimize.\n    \n    Returns:\n    - An Adam optimizer for the model with the desired hyperparameters.\n    \"\"\"\n    optimizer = None\n    # *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n\n    optimizer = optim.Adam(model.parameters(), lr=1e-3, betas=(0.5, 0.999))\n\n    # *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n    return optimizer\n\ndef ls_discriminator_loss(scores_real, scores_fake):\n    \"\"\"\n    Compute the Least-Squares GAN loss for the discriminator.\n    \n    Inputs:\n    - scores_real: PyTorch Tensor of shape (N,) giving scores for the real data.\n    - scores_fake: PyTorch Tensor of shape (N,) giving scores for the fake data.\n    \n    Outputs:\n    - loss: A PyTorch Tensor containing the loss.\n    \"\"\"\n    loss = None\n    # *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n\n    real_loss = (scores_real - 1) ** 2\n    real_loss = 0.5 * real_loss.mean()\n\n    fake_loss = scores_fake ** 2\n    fake_loss = 0.5 * fake_loss.mean()\n\n    loss = real_loss + fake_loss\n\n    # *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n    return loss\n\ndef ls_generator_loss(scores_fake):\n    \"\"\"\n    Computes the Least-Squares GAN loss for the generator.\n    \n    Inputs:\n    - scores_fake: PyTorch Tensor of shape (N,) giving scores for the fake data.\n    \n    Outputs:\n    - loss: A PyTorch Tensor containing the loss.\n    \"\"\"\n    loss = None\n    # *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n\n    fake_loss = (scores_fake - 1) ** 2\n    fake_loss = 0.5 * fake_loss.mean()\n\n    loss = fake_loss\n\n    # *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n    return loss\n\ndef build_dc_classifier(batch_size):\n    \"\"\"\n    Build and return a PyTorch model for the DCGAN discriminator implementing\n    the architecture above.\n    \"\"\"\n\n    ##############################################################################\n    # TODO: Implement architecture                                               #\n    #                                                                            #\n    # HINT: nn.Sequential might be helpful.                                      #\n    ##############################################################################\n    # *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n\n    model = nn.Sequential(\n      # Unflatten the model's input. Output shape is (batch_size, 1, 28, 28)\n      Unflatten(N=batch_size, C=1, H=28, W=28),\n      # Apply Conv2D layer and LeakyReLU. Output shape is (batch_size, 32, 26, 26)\n      nn.Conv2d(in_channels=1, out_channels=32, kernel_size=5, stride=1),\n      nn.LeakyReLU(0.01),\n      # Apply Max Pooling. Output shape is (batch_size, 32, 13, 13)\n      nn.MaxPool2d(kernel_size=2, stride=2),\n      # Apply Conv2D layer and LeakyReLU. Output shape is (batch_size, 64, 11, 11)\n      nn.Conv2d(in_channels=32, out_channels=64, kernel_size=5, stride=1),\n      nn.LeakyReLU(0.01),\n      # Apply Max Pooling. Output shape is (batch_size, 64, 4, 4)\n      nn.MaxPool2d(kernel_size=2, stride=2),\n      # Flatten the data. Output shape is (batch_size, 64*4*4)\n      Flatten(),\n      # Apply FC layer and LeakyReLU. Output shape is (batch_size, 64*4*4)\n      nn.Linear(4*4*64, 4*4*64),\n      nn.LeakyReLU(0.01),\n      # Apply FC layer (Output layer). Output shape is (batch_size, 1)\n      nn.Linear(4*4*64, 1)\n    )\n\n    return model\n\n    # *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n    ##############################################################################\n    #                               END OF YOUR CODE                             #\n    ##############################################################################\n\n\ndef build_dc_generator(noise_dim=NOISE_DIM):\n    \"\"\"\n    Build and return a PyTorch model implementing the DCGAN generator using\n    the architecture described above.\n    \"\"\"\n\n    ##############################################################################\n    # TODO: Implement architecture                                               #\n    #                                                                            #\n    # HINT: nn.Sequential might be helpful.                                      #\n    ##############################################################################\n    # *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n\n    model = nn.Sequential(\n      # Apply FC layer, ReLU and Batch norm. Output shape is (1, 1024)\n      nn.Linear(noise_dim, 1024),\n      nn.ReLU(),\n      nn.BatchNorm1d(1024),\n      # Apply FC layer, ReLU and Batch norm. Output shape is (1, 7*7*128)\n      nn.Linear(1024, 7*7*128),\n      nn.ReLU(),\n      nn.BatchNorm1d(7*7*128),\n      # Reshape the data into Image Tensor. Output shape is (128, 7, 7)\n      Unflatten(C=128, H=7, W=7),\n      # Apply Conv2D Transpose layer, ReLU and Batch norm.\n      # Note that in PyTorch, the padding-type in this layer type must be 'zero'\n      # (default value), 'same' padding is not permitted. Output shape is (64, 14, 14)\n      nn.ConvTranspose2d(in_channels=128, out_channels=64, kernel_size=4,\n                          stride=2, padding=1),\n      nn.ReLU(),\n      nn.BatchNorm2d(64),\n      # Apply Conv2D Transpose and TanH. Output shape is (1, 28, 28)\n      nn.ConvTranspose2d(in_channels=64, out_channels=1, kernel_size=4,\n                    stride=2, padding=1),\n      nn.Tanh(),\n      # Flatten the data. Output shape is (784,)\n      Flatten()\n    )\n\n    return model\n\n    # *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n    ##############################################################################\n    #                               END OF YOUR CODE                             #\n    ##############################################################################\n\ndef run_a_gan(D, G, D_solver, G_solver, discriminator_loss, generator_loss, loader_train, show_every=250, \n              batch_size=128, noise_size=96, num_epochs=10):\n    \"\"\"\n    Train a GAN!\n    \n    Inputs:\n    - D, G: PyTorch models for the discriminator and generator\n    - D_solver, G_solver: torch.optim Optimizers to use for training the\n      discriminator and generator.\n    - discriminator_loss, generator_loss: Functions to use for computing the generator and\n      discriminator loss, respectively.\n    - show_every: Show samples after every show_every iterations.\n    - batch_size: Batch size to use for training.\n    - noise_size: Dimension of the noise to use as input to the generator.\n    - num_epochs: Number of epochs over the training dataset to use for training.\n    \"\"\"\n    images = []\n    iter_count = 0\n    for epoch in range(num_epochs):\n        for x, _ in loader_train:\n            if len(x) != batch_size:\n                continue\n            D_solver.zero_grad()\n            real_data = x.type(dtype)\n            logits_real = D(2* (real_data - 0.5)).type(dtype)\n\n            g_fake_seed = sample_noise(batch_size, noise_size).type(dtype)\n            fake_images = G(g_fake_seed).detach()\n            logits_fake = D(fake_images.view(batch_size, 1, 28, 28))\n\n            d_total_error = discriminator_loss(logits_real, logits_fake)\n            d_total_error.backward()        \n            D_solver.step()\n\n            G_solver.zero_grad()\n            g_fake_seed = sample_noise(batch_size, noise_size).type(dtype)\n            fake_images = G(g_fake_seed)\n\n            gen_logits_fake = D(fake_images.view(batch_size, 1, 28, 28))\n            g_error = generator_loss(gen_logits_fake)\n            g_error.backward()\n            G_solver.step()\n\n            if (iter_count % show_every == 0):\n                print('Iter: {}, D: {:.4}, G:{:.4}'.format(iter_count,d_total_error.item(),g_error.item()))\n                imgs_numpy = fake_images.data.cpu().numpy()\n                images.append(imgs_numpy[0:16])\n\n            iter_count += 1\n    \n    return images\n\n\n\nclass ChunkSampler(sampler.Sampler):\n    \"\"\"Samples elements sequentially from some offset. \n    Arguments:\n        num_samples: # of desired datapoints\n        start: offset where we should start selecting from\n    \"\"\"\n    def __init__(self, num_samples, start=0):\n        self.num_samples = num_samples\n        self.start = start\n\n    def __iter__(self):\n        return iter(range(self.start, self.start + self.num_samples))\n\n    def __len__(self):\n        return self.num_samples\n\n\nclass Flatten(nn.Module):\n    def forward(self, x):\n        N, C, H, W = x.size() # read in N, C, H, W\n        return x.view(N, -1)  # \"flatten\" the C * H * W values into a single vector per image\n    \nclass Unflatten(nn.Module):\n    \"\"\"\n    An Unflatten module receives an input of shape (N, C*H*W) and reshapes it\n    to produce an output of shape (N, C, H, W).\n    \"\"\"\n    def __init__(self, N=-1, C=128, H=7, W=7):\n        super(Unflatten, self).__init__()\n        self.N = N\n        self.C = C\n        self.H = H\n        self.W = W\n    def forward(self, x):\n        return x.view(self.N, self.C, self.H, self.W)\n\ndef initialize_weights(m):\n    if isinstance(m, nn.Linear) or isinstance(m, nn.ConvTranspose2d):\n        nn.init.xavier_uniform_(m.weight.data)\n\ndef preprocess_img(x):\n    return 2 * x - 1.0\n\ndef deprocess_img(x):\n    return (x + 1.0) / 2.0\n\ndef rel_error(x,y):\n    return np.max(np.abs(x - y) / (np.maximum(1e-8, np.abs(x) + np.abs(y))))\n\ndef count_params(model):\n    \"\"\"Count the number of parameters in the current TensorFlow graph \"\"\"\n    param_count = np.sum([np.prod(p.size()) for p in model.parameters()])\n    return param_count"
  },
  {
    "path": "cs231n/assignment3/cs231n/gradient_check.py",
    "content": "from __future__ import print_function\nfrom builtins import range\nfrom past.builtins import xrange\n\nimport numpy as np\nfrom random import randrange\n\n\ndef eval_numerical_gradient(f, x, verbose=True, h=0.00001):\n    \"\"\"\n    a naive implementation of numerical gradient of f at x\n    - f should be a function that takes a single argument\n    - x is the point (numpy array) to evaluate the gradient at\n    \"\"\"\n\n    fx = f(x)  # evaluate function value at original point\n    grad = np.zeros_like(x)\n    # iterate over all indexes in x\n    it = np.nditer(x, flags=[\"multi_index\"], op_flags=[\"readwrite\"])\n    while not it.finished:\n\n        # evaluate function at x+h\n        ix = it.multi_index\n        oldval = x[ix]\n        x[ix] = oldval + h  # increment by h\n        fxph = f(x)  # evalute f(x + h)\n        x[ix] = oldval - h\n        fxmh = f(x)  # evaluate f(x - h)\n        x[ix] = oldval  # restore\n\n        # compute the partial derivative with centered formula\n        grad[ix] = (fxph - fxmh) / (2 * h)  # the slope\n        if verbose:\n            print(ix, grad[ix])\n        it.iternext()  # step to next dimension\n\n    return grad\n\n\ndef eval_numerical_gradient_array(f, x, df, h=1e-5):\n    \"\"\"\n    Evaluate a numeric gradient for a function that accepts a numpy\n    array and returns a numpy array.\n    \"\"\"\n    grad = np.zeros_like(x)\n    it = np.nditer(x, flags=[\"multi_index\"], op_flags=[\"readwrite\"])\n    while not it.finished:\n        ix = it.multi_index\n\n        oldval = x[ix]\n        x[ix] = oldval + h\n        pos = f(x).copy()\n        x[ix] = oldval - h\n        neg = f(x).copy()\n        x[ix] = oldval\n\n        grad[ix] = np.sum((pos - neg) * df) / (2 * h)\n        it.iternext()\n    return grad\n\n\ndef eval_numerical_gradient_blobs(f, inputs, output, h=1e-5):\n    \"\"\"\n    Compute numeric gradients for a function that operates on input\n    and output blobs.\n\n    We assume that f accepts several input blobs as arguments, followed by a\n    blob where outputs will be written. For example, f might be called like:\n\n    f(x, w, out)\n\n    where x and w are input Blobs, and the result of f will be written to out.\n\n    Inputs:\n    - f: function\n    - inputs: tuple of input blobs\n    - output: output blob\n    - h: step size\n    \"\"\"\n    numeric_diffs = []\n    for input_blob in inputs:\n        diff = np.zeros_like(input_blob.diffs)\n        it = np.nditer(input_blob.vals, flags=[\"multi_index\"], op_flags=[\"readwrite\"])\n        while not it.finished:\n            idx = it.multi_index\n            orig = input_blob.vals[idx]\n\n            input_blob.vals[idx] = orig + h\n            f(*(inputs + (output,)))\n            pos = np.copy(output.vals)\n            input_blob.vals[idx] = orig - h\n            f(*(inputs + (output,)))\n            neg = np.copy(output.vals)\n            input_blob.vals[idx] = orig\n\n            diff[idx] = np.sum((pos - neg) * output.diffs) / (2.0 * h)\n\n            it.iternext()\n        numeric_diffs.append(diff)\n    return numeric_diffs\n\n\ndef eval_numerical_gradient_net(net, inputs, output, h=1e-5):\n    return eval_numerical_gradient_blobs(\n        lambda *args: net.forward(), inputs, output, h=h\n    )\n\n\ndef grad_check_sparse(f, x, analytic_grad, num_checks=10, h=1e-5):\n    \"\"\"\n    sample a few random elements and only return numerical\n    in this dimensions.\n    \"\"\"\n\n    for i in range(num_checks):\n        ix = tuple([randrange(m) for m in x.shape])\n\n        oldval = x[ix]\n        x[ix] = oldval + h  # increment by h\n        fxph = f(x)  # evaluate f(x + h)\n        x[ix] = oldval - h  # increment by h\n        fxmh = f(x)  # evaluate f(x - h)\n        x[ix] = oldval  # reset\n\n        grad_numerical = (fxph - fxmh) / (2 * h)\n        grad_analytic = analytic_grad[ix]\n        rel_error = abs(grad_numerical - grad_analytic) / (\n            abs(grad_numerical) + abs(grad_analytic)\n        )\n        print(\n            \"numerical: %f analytic: %f, relative error: %e\"\n            % (grad_numerical, grad_analytic, rel_error)\n        )\n"
  },
  {
    "path": "cs231n/assignment3/cs231n/im2col.py",
    "content": "from builtins import range\nimport numpy as np\n\n\ndef get_im2col_indices(x_shape, field_height, field_width, padding=1, stride=1):\n    # First figure out what the size of the output should be\n    N, C, H, W = x_shape\n    assert (H + 2 * padding - field_height) % stride == 0\n    assert (W + 2 * padding - field_height) % stride == 0\n    out_height = (H + 2 * padding - field_height) / stride + 1\n    out_width = (W + 2 * padding - field_width) / stride + 1\n\n    i0 = np.repeat(np.arange(field_height), field_width)\n    i0 = np.tile(i0, C)\n    i1 = stride * np.repeat(np.arange(out_height), out_width)\n    j0 = np.tile(np.arange(field_width), field_height * C)\n    j1 = stride * np.tile(np.arange(out_width), out_height)\n    i = i0.reshape(-1, 1) + i1.reshape(1, -1)\n    j = j0.reshape(-1, 1) + j1.reshape(1, -1)\n\n    k = np.repeat(np.arange(C), field_height * field_width).reshape(-1, 1)\n\n    return (k, i, j)\n\n\ndef im2col_indices(x, field_height, field_width, padding=1, stride=1):\n    \"\"\" An implementation of im2col based on some fancy indexing \"\"\"\n    # Zero-pad the input\n    p = padding\n    x_padded = np.pad(x, ((0, 0), (0, 0), (p, p), (p, p)), mode=\"constant\")\n\n    k, i, j = get_im2col_indices(x.shape, field_height, field_width, padding, stride)\n\n    cols = x_padded[:, k, i, j]\n    C = x.shape[1]\n    cols = cols.transpose(1, 2, 0).reshape(field_height * field_width * C, -1)\n    return cols\n\n\ndef col2im_indices(cols, x_shape, field_height=3, field_width=3, padding=1, stride=1):\n    \"\"\" An implementation of col2im based on fancy indexing and np.add.at \"\"\"\n    N, C, H, W = x_shape\n    H_padded, W_padded = H + 2 * padding, W + 2 * padding\n    x_padded = np.zeros((N, C, H_padded, W_padded), dtype=cols.dtype)\n    k, i, j = get_im2col_indices(x_shape, field_height, field_width, padding, stride)\n    cols_reshaped = cols.reshape(C * field_height * field_width, -1, N)\n    cols_reshaped = cols_reshaped.transpose(2, 0, 1)\n    np.add.at(x_padded, (slice(None), k, i, j), cols_reshaped)\n    if padding == 0:\n        return x_padded\n    return x_padded[:, :, padding:-padding, padding:-padding]\n\n\n# *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n\npass\n\n# *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n"
  },
  {
    "path": "cs231n/assignment3/cs231n/im2col_cython.pyx",
    "content": "import numpy as np\ncimport numpy as np\ncimport cython\n\n# DTYPE = np.float64\n# ctypedef np.float64_t DTYPE_t\n\nctypedef fused DTYPE_t:\n    np.float32_t\n    np.float64_t\n\ndef im2col_cython(np.ndarray[DTYPE_t, ndim=4] x, int field_height,\n                  int field_width, int padding, int stride):\n    cdef int N = x.shape[0]\n    cdef int C = x.shape[1]\n    cdef int H = x.shape[2]\n    cdef int W = x.shape[3]\n    \n    cdef int HH = (H + 2 * padding - field_height) / stride + 1\n    cdef int WW = (W + 2 * padding - field_width) / stride + 1\n\n    cdef int p = padding\n    cdef np.ndarray[DTYPE_t, ndim=4] x_padded = np.pad(x,\n            ((0, 0), (0, 0), (p, p), (p, p)), mode='constant')\n\n    cdef np.ndarray[DTYPE_t, ndim=2] cols = np.zeros(\n            (C * field_height * field_width, N * HH * WW),\n            dtype=x.dtype)\n\n    # Moving the inner loop to a C function with no bounds checking works, but does\n    # not seem to help performance in any measurable way.\n\n    im2col_cython_inner(cols, x_padded, N, C, H, W, HH, WW,\n                        field_height, field_width, padding, stride)\n    return cols\n\n\n@cython.boundscheck(False)\ncdef int im2col_cython_inner(np.ndarray[DTYPE_t, ndim=2] cols,\n                             np.ndarray[DTYPE_t, ndim=4] x_padded,\n                             int N, int C, int H, int W, int HH, int WW,\n                             int field_height, int field_width, int padding, int stride) except? -1:\n    cdef int c, ii, jj, row, yy, xx, i, col\n\n    for c in range(C):\n        for yy in range(HH):\n            for xx in range(WW):\n                for ii in range(field_height):\n                    for jj in range(field_width):\n                        row = c * field_width * field_height + ii * field_height + jj\n                        for i in range(N):\n                            col = yy * WW * N + xx * N + i\n                            cols[row, col] = x_padded[i, c, stride * yy + ii, stride * xx + jj]\n\n\n\ndef col2im_cython(np.ndarray[DTYPE_t, ndim=2] cols, int N, int C, int H, int W,\n                  int field_height, int field_width, int padding, int stride):\n    cdef np.ndarray x = np.empty((N, C, H, W), dtype=cols.dtype)\n    cdef int HH = (H + 2 * padding - field_height) / stride + 1\n    cdef int WW = (W + 2 * padding - field_width) / stride + 1\n    cdef np.ndarray[DTYPE_t, ndim=4] x_padded = np.zeros((N, C, H + 2 * padding, W + 2 * padding),\n                                        dtype=cols.dtype)\n\n    # Moving the inner loop to a C-function with no bounds checking improves\n    # performance quite a bit for col2im.\n    col2im_cython_inner(cols, x_padded, N, C, H, W, HH, WW, \n                        field_height, field_width, padding, stride)\n    if padding > 0:\n        return x_padded[:, :, padding:-padding, padding:-padding]\n    return x_padded\n\n\n@cython.boundscheck(False)\ncdef int col2im_cython_inner(np.ndarray[DTYPE_t, ndim=2] cols,\n                             np.ndarray[DTYPE_t, ndim=4] x_padded,\n                             int N, int C, int H, int W, int HH, int WW,\n                             int field_height, int field_width, int padding, int stride) except? -1:\n    cdef int c, ii, jj, row, yy, xx, i, col\n\n    for c in range(C):\n        for ii in range(field_height):\n            for jj in range(field_width):\n                row = c * field_width * field_height + ii * field_height + jj\n                for yy in range(HH):\n                    for xx in range(WW):\n                        for i in range(N):\n                            col = yy * WW * N + xx * N + i\n                            x_padded[i, c, stride * yy + ii, stride * xx + jj] += cols[row, col]\n\n\n@cython.boundscheck(False)\n@cython.wraparound(False)\ncdef col2im_6d_cython_inner(np.ndarray[DTYPE_t, ndim=6] cols,\n                            np.ndarray[DTYPE_t, ndim=4] x_padded,\n                            int N, int C, int H, int W, int HH, int WW,\n                            int out_h, int out_w, int pad, int stride):\n\n    cdef int c, hh, ww, n, h, w\n    for n in range(N):\n        for c in range(C):\n            for hh in range(HH):\n                for ww in range(WW):\n                    for h in range(out_h):\n                        for w in range(out_w):\n                            x_padded[n, c, stride * h + hh, stride * w + ww] += cols[c, hh, ww, n, h, w]\n    \n\ndef col2im_6d_cython(np.ndarray[DTYPE_t, ndim=6] cols, int N, int C, int H, int W,\n        int HH, int WW, int pad, int stride):\n    cdef np.ndarray x = np.empty((N, C, H, W), dtype=cols.dtype)\n    cdef int out_h = (H + 2 * pad - HH) / stride + 1\n    cdef int out_w = (W + 2 * pad - WW) / stride + 1\n    cdef np.ndarray[DTYPE_t, ndim=4] x_padded = np.zeros((N, C, H + 2 * pad, W + 2 * pad),\n                                                  dtype=cols.dtype)\n\n    col2im_6d_cython_inner(cols, x_padded, N, C, H, W, HH, WW, out_h, out_w, pad, stride)\n\n    if pad > 0:\n        return x_padded[:, :, pad:-pad, pad:-pad]\n    return x_padded \n"
  },
  {
    "path": "cs231n/assignment3/cs231n/image_utils.py",
    "content": "from __future__ import print_function\nfrom future import standard_library\n\nstandard_library.install_aliases()\nfrom builtins import range\nimport urllib.request, urllib.error, urllib.parse, os, tempfile\n\nimport numpy as np\nfrom imageio import imread\nfrom PIL import Image\n\n\"\"\"\nUtility functions used for viewing and processing images.\n\"\"\"\n\n\ndef blur_image(X):\n    \"\"\"\n    A very gentle image blurring operation, to be used as a regularizer for\n    image generation.\n\n    Inputs:\n    - X: Image data of shape (N, 3, H, W)\n\n    Returns:\n    - X_blur: Blurred version of X, of shape (N, 3, H, W)\n    \"\"\"\n    from .fast_layers import conv_forward_fast\n\n    w_blur = np.zeros((3, 3, 3, 3))\n    b_blur = np.zeros(3)\n    blur_param = {\"stride\": 1, \"pad\": 1}\n    for i in range(3):\n        w_blur[i, i] = np.asarray([[1, 2, 1], [2, 188, 2], [1, 2, 1]], dtype=np.float32)\n    w_blur /= 200.0\n    return conv_forward_fast(X, w_blur, b_blur, blur_param)[0]\n\n\nSQUEEZENET_MEAN = np.array([0.485, 0.456, 0.406], dtype=np.float32)\nSQUEEZENET_STD = np.array([0.229, 0.224, 0.225], dtype=np.float32)\n\n\ndef preprocess_image(img):\n    \"\"\"Preprocess an image for squeezenet.\n\n    Subtracts the pixel mean and divides by the standard deviation.\n    \"\"\"\n    return (img.astype(np.float32) / 255.0 - SQUEEZENET_MEAN) / SQUEEZENET_STD\n\n\ndef deprocess_image(img, rescale=False):\n    \"\"\"Undo preprocessing on an image and convert back to uint8.\"\"\"\n    img = img * SQUEEZENET_STD + SQUEEZENET_MEAN\n    if rescale:\n        vmin, vmax = img.min(), img.max()\n        img = (img - vmin) / (vmax - vmin)\n    return np.clip(255 * img, 0.0, 255.0).astype(np.uint8)\n\n\ndef image_from_url(url):\n    \"\"\"\n    Read an image from a URL. Returns a numpy array with the pixel data.\n    We write the image to a temporary file then read it back. Kinda gross.\n    \"\"\"\n    try:\n        f = urllib.request.urlopen(url)\n        _, fname = tempfile.mkstemp()\n        with open(fname, \"wb\") as ff:\n            ff.write(f.read())\n        img = imread(fname)\n        os.remove(fname)\n        return img\n    except urllib.error.URLError as e:\n        print(\"URL Error: \", e.reason, url)\n    except urllib.error.HTTPError as e:\n        print(\"HTTP Error: \", e.code, url)\n\n\ndef load_image(filename, size=None):\n    \"\"\"Load and resize an image from disk.\n\n    Inputs:\n    - filename: path to file\n    - size: size of shortest dimension after rescaling\n    \"\"\"\n    img = imread(filename)\n    if size is not None:\n        orig_shape = np.array(img.shape[:2])\n        min_idx = np.argmin(orig_shape)\n        scale_factor = float(size) / orig_shape[min_idx]\n        new_shape = (orig_shape * scale_factor).astype(int)\n        img = np.array(Image.fromarray(img).resize(new_shape))\n    return img\n"
  },
  {
    "path": "cs231n/assignment3/cs231n/layer_utils.py",
    "content": "from .layers import *\nfrom .fast_layers import *\n\n\ndef affine_relu_forward(x, w, b):\n    \"\"\"\n    Convenience layer that perorms an affine transform followed by a ReLU\n\n    Inputs:\n    - x: Input to the affine layer\n    - w, b: Weights for the affine layer\n\n    Returns a tuple of:\n    - out: Output from the ReLU\n    - cache: Object to give to the backward pass\n    \"\"\"\n    a, fc_cache = affine_forward(x, w, b)\n    out, relu_cache = relu_forward(a)\n    cache = (fc_cache, relu_cache)\n    return out, cache\n\n\ndef affine_relu_backward(dout, cache):\n    \"\"\"\n    Backward pass for the affine-relu convenience layer\n    \"\"\"\n    fc_cache, relu_cache = cache\n    da = relu_backward(dout, relu_cache)\n    dx, dw, db = affine_backward(da, fc_cache)\n    return dx, dw, db\n\n\ndef affine_bn_relu_forward(x, w, b, gamma, beta, bn_param):\n    \"\"\"\n    Convenience layer that performs an affine transform, batch normalization,\n    and ReLU.\n\n    Inputs:\n    - x: Array of shape (N, D1); input to the affine layer\n    - w, b: Arrays of shape (D2, D2) and (D2,) giving the weight and bias for\n      the affine transform.\n    - gamma, beta: Arrays of shape (D2,) and (D2,) giving scale and shift\n      parameters for batch normalization.\n    - bn_param: Dictionary of parameters for batch normalization.\n\n    Returns:\n    - out: Output from ReLU, of shape (N, D2)\n    - cache: Object to give to the backward pass.\n    \"\"\"\n    a, fc_cache = affine_forward(x, w, b)\n    a_bn, bn_cache = batchnorm_forward(a, gamma, beta, bn_param)\n    out, relu_cache = relu_forward(a_bn)\n    cache = (fc_cache, bn_cache, relu_cache)\n    return out, cache\n\n\ndef affine_bn_relu_backward(dout, cache):\n    \"\"\"\n    Backward pass for the affine-batchnorm-relu convenience layer.\n    \"\"\"\n    fc_cache, bn_cache, relu_cache = cache\n    da_bn = relu_backward(dout, relu_cache)\n    da, dgamma, dbeta = batchnorm_backward(da_bn, bn_cache)\n    dx, dw, db = affine_backward(da, fc_cache)\n    return dx, dw, db, dgamma, dbeta\n\n\ndef affine_ln_relu_forward(x, w, b, gamma, beta, ln_param):\n    \"\"\"\n    Convenience layer that performs an affine transform, layer normalization,\n    and ReLU.\n\n    Inputs:\n    - x: Array of shape (N, D1); input to the affine layer\n    - w, b: Arrays of shape (D2, D2) and (D2,) giving the weight and bias for\n      the affine transform.\n    - gamma, beta: Arrays of shape (D2,) and (D2,) giving scale and shift\n      parameters for batch normalization.\n    - ln_param: Dictionary of parameters for layer normalization.\n\n    Returns:\n    - out: Output from ReLU, of shape (N, D2)\n    - cache: Object to give to the backward pass.\n    \"\"\"\n    a, fc_cache = affine_forward(x, w, b)\n    a_ln, ln_cache = layernorm_forward(a, gamma, beta, ln_param)\n    out, relu_cache = relu_forward(a_ln)\n    cache = (fc_cache, ln_cache, relu_cache)\n    return out, cache\n\n\ndef affine_ln_relu_backward(dout, cache):\n    \"\"\"\n    Backward pass for the affine-layernorm-relu convenience layer.\n    \"\"\"\n    fc_cache, ln_cache, relu_cache = cache\n    da_ln = relu_backward(dout, relu_cache)\n    da, dgamma, dbeta = layernorm_backward(da_ln, ln_cache)\n    dx, dw, db = affine_backward(da, fc_cache)\n    return dx, dw, db, dgamma, dbeta\n\n\ndef conv_relu_forward(x, w, b, conv_param):\n    \"\"\"\n    A convenience layer that performs a convolution followed by a ReLU.\n\n    Inputs:\n    - x: Input to the convolutional layer\n    - w, b, conv_param: Weights and parameters for the convolutional layer\n\n    Returns a tuple of:\n    - out: Output from the ReLU\n    - cache: Object to give to the backward pass\n    \"\"\"\n    a, conv_cache = conv_forward_fast(x, w, b, conv_param)\n    out, relu_cache = relu_forward(a)\n    cache = (conv_cache, relu_cache)\n    return out, cache\n\n\ndef conv_relu_backward(dout, cache):\n    \"\"\"\n    Backward pass for the conv-relu convenience layer.\n    \"\"\"\n    conv_cache, relu_cache = cache\n    da = relu_backward(dout, relu_cache)\n    dx, dw, db = conv_backward_fast(da, conv_cache)\n    return dx, dw, db\n\n\ndef conv_bn_relu_forward(x, w, b, gamma, beta, conv_param, bn_param):\n    a, conv_cache = conv_forward_fast(x, w, b, conv_param)\n    an, bn_cache = spatial_batchnorm_forward(a, gamma, beta, bn_param)\n    out, relu_cache = relu_forward(an)\n    cache = (conv_cache, bn_cache, relu_cache)\n    return out, cache\n\n\ndef conv_bn_relu_backward(dout, cache):\n    conv_cache, bn_cache, relu_cache = cache\n    dan = relu_backward(dout, relu_cache)\n    da, dgamma, dbeta = spatial_batchnorm_backward(dan, bn_cache)\n    dx, dw, db = conv_backward_fast(da, conv_cache)\n    return dx, dw, db, dgamma, dbeta\n\n\ndef conv_relu_pool_forward(x, w, b, conv_param, pool_param):\n    \"\"\"\n    Convenience layer that performs a convolution, a ReLU, and a pool.\n\n    Inputs:\n    - x: Input to the convolutional layer\n    - w, b, conv_param: Weights and parameters for the convolutional layer\n    - pool_param: Parameters for the pooling layer\n\n    Returns a tuple of:\n    - out: Output from the pooling layer\n    - cache: Object to give to the backward pass\n    \"\"\"\n    a, conv_cache = conv_forward_fast(x, w, b, conv_param)\n    s, relu_cache = relu_forward(a)\n    out, pool_cache = max_pool_forward_fast(s, pool_param)\n    cache = (conv_cache, relu_cache, pool_cache)\n    return out, cache\n\n\ndef conv_relu_pool_backward(dout, cache):\n    \"\"\"\n    Backward pass for the conv-relu-pool convenience layer\n    \"\"\"\n    conv_cache, relu_cache, pool_cache = cache\n    ds = max_pool_backward_fast(dout, pool_cache)\n    da = relu_backward(ds, relu_cache)\n    dx, dw, db = conv_backward_fast(da, conv_cache)\n    return dx, dw, db\n"
  },
  {
    "path": "cs231n/assignment3/cs231n/layers.py",
    "content": "import numpy as np\n\n\ndef affine_forward(x, w, b):\n    \"\"\"\n    Computes the forward pass for an affine (fully-connected) layer.\n\n    The input x has shape (N, d_1, ..., d_k) where x[i] is the ith input.\n    We multiply this against a weight matrix of shape (D, M) where\n    D = \\prod_i d_i\n\n    Inputs:\n    x - Input data, of shape (N, d_1, ..., d_k)\n    w - Weights, of shape (D, M)\n    b - Biases, of shape (M,)\n\n    Returns a tuple of:\n    - out: output, of shape (N, M)\n    - cache: (x, w, b)\n    \"\"\"\n    out = x.reshape(x.shape[0], -1).dot(w) + b\n    cache = (x, w, b)\n    return out, cache\n\n\ndef affine_backward(dout, cache):\n    \"\"\"\n    Computes the backward pass for an affine layer.\n\n    Inputs:\n    - dout: Upstream derivative, of shape (N, M)\n    - cache: Tuple of:\n      - x: Input data, of shape (N, d_1, ... d_k)\n      - w: Weights, of shape (D, M)\n\n    Returns a tuple of:\n    - dx: Gradient with respect to x, of shape (N, d1, ..., d_k)\n    - dw: Gradient with respect to w, of shape (D, M)\n    - db: Gradient with respect to b, of shape (M,)\n    \"\"\"\n    x, w, b = cache\n    dx = dout.dot(w.T).reshape(x.shape)\n    dw = x.reshape(x.shape[0], -1).T.dot(dout)\n    db = np.sum(dout, axis=0)\n    return dx, dw, db\n\n\ndef relu_forward(x):\n    \"\"\"\n    Computes the forward pass for a layer of rectified linear units (ReLUs).\n\n    Input:\n    - x: Inputs, of any shape\n\n    Returns a tuple of:\n    - out: Output, of the same shape as x\n    - cache: x\n    \"\"\"\n    out = np.maximum(0, x)\n    cache = x\n    return out, cache\n\n\ndef relu_backward(dout, cache):\n    \"\"\"\n    Computes the backward pass for a layer of rectified linear units (ReLUs).\n\n    Input:\n    - dout: Upstream derivatives, of any shape\n    - cache: Input x, of same shape as dout\n\n    Returns:\n    - dx: Gradient with respect to x\n    \"\"\"\n    x = cache\n    dx = np.where(x > 0, dout, 0)\n    return dx\n\n\ndef batchnorm_forward(x, gamma, beta, bn_param):\n    \"\"\"\n    Forward pass for batch normalization.\n\n    During training the sample mean and (uncorrected) sample variance are\n    computed from minibatch statistics and used to normalize the incoming data.\n    During training we also keep an exponentially decaying running mean of the mean\n    and variance of each feature, and these averages are used to normalize data\n    at test-time.\n\n    At each timestep we update the running averages for mean and variance using\n    an exponential decay based on the momentum parameter:\n\n    running_mean = momentum * running_mean + (1 - momentum) * sample_mean\n    running_var = momentum * running_var + (1 - momentum) * sample_var\n\n    Note that the batch normalization paper suggests a different test-time\n    behavior: they compute sample mean and variance for each feature using a\n    large number of training images rather than using a running average. For\n    this implementation we have chosen to use running averages instead since\n    they do not require an additional estimation step; the torch7 implementation\n    of batch normalization also uses running averages.\n\n    Input:\n    - x: Data of shape (N, D)\n    - gamma: Scale parameter of shape (D,)\n    - beta: Shift paremeter of shape (D,)\n    - bn_param: Dictionary with the following keys:\n      - mode: 'train' or 'test'; required\n      - eps: Constant for numeric stability\n      - momentum: Constant for running mean / variance.\n      - running_mean: Array of shape (D,) giving running mean of features\n      - running_var Array of shape (D,) giving running variance of features\n\n    Returns a tuple of:\n    - out: of shape (N, D)\n    - cache: A tuple of values needed in the backward pass\n    \"\"\"\n    mode = bn_param[\"mode\"]\n    eps = bn_param.get(\"eps\", 1e-5)\n    momentum = bn_param.get(\"momentum\", 0.9)\n\n    N, D = x.shape\n    running_mean = bn_param.get(\"running_mean\", np.zeros(D, dtype=x.dtype))\n    running_var = bn_param.get(\"running_var\", np.zeros(D, dtype=x.dtype))\n\n    out, cache = None, None\n    if mode == \"train\":\n        # Compute output\n        mu = x.mean(axis=0)\n        xc = x - mu\n        var = np.mean(xc ** 2, axis=0)\n        std = np.sqrt(var + eps)\n        xn = xc / std\n        out = gamma * xn + beta\n\n        cache = (mode, x, gamma, xc, std, xn, out)\n\n        # Update running average of mean\n        running_mean *= momentum\n        running_mean += (1 - momentum) * mu\n\n        # Update running average of variance\n        running_var *= momentum\n        running_var += (1 - momentum) * var\n    elif mode == \"test\":\n        # Using running mean and variance to normalize\n        std = np.sqrt(running_var + eps)\n        xn = (x - running_mean) / std\n        out = gamma * xn + beta\n        cache = (mode, x, xn, gamma, beta, std)\n    else:\n        raise ValueError('Invalid forward batchnorm mode \"%s\"' % mode)\n\n    # Store the updated running means back into bn_param\n    bn_param[\"running_mean\"] = running_mean\n    bn_param[\"running_var\"] = running_var\n\n    return out, cache\n\n\ndef batchnorm_backward(dout, cache):\n    \"\"\"\n    Backward pass for batch normalization.\n\n    For this implementation, you should write out a computation graph for\n    batch normalization on paper and propagate gradients backward through\n    intermediate nodes.\n\n    Inputs:\n    - dout: Upstream derivatives, of shape (N, D)\n    - cache: Variable of intermediates from batchnorm_forward.\n\n    Returns a tuple of:\n    - dx: Gradient with respect to inputs x, of shape (N, D)\n    - dgamma: Gradient with respect to scale parameter gamma, of shape (D,)\n    - dbeta: Gradient with respect to shift parameter beta, of shape (D,)\n    \"\"\"\n    mode = cache[0]\n    if mode == \"train\":\n        mode, x, gamma, xc, std, xn, out = cache\n\n        N = x.shape[0]\n        dbeta = dout.sum(axis=0)\n        dgamma = np.sum(xn * dout, axis=0)\n        dxn = gamma * dout\n        dxc = dxn / std\n        dstd = -np.sum((dxn * xc) / (std * std), axis=0)\n        dvar = 0.5 * dstd / std\n        dxc += (2.0 / N) * xc * dvar\n        dmu = np.sum(dxc, axis=0)\n        dx = dxc - dmu / N\n    elif mode == \"test\":\n        mode, x, xn, gamma, beta, std = cache\n        dbeta = dout.sum(axis=0)\n        dgamma = np.sum(xn * dout, axis=0)\n        dxn = gamma * dout\n        dx = dxn / std\n    else:\n        raise ValueError(mode)\n\n    return dx, dgamma, dbeta\n\n\ndef spatial_batchnorm_forward(x, gamma, beta, bn_param):\n    \"\"\"\n    Computes the forward pass for spatial batch normalization.\n\n    Inputs:\n    - x: Input data of shape (N, C, H, W)\n    - gamma: Scale parameter, of shape (C,)\n    - beta: Shift parameter, of shape (C,)\n    - bn_param: Dictionary with the following keys:\n      - mode: 'train' or 'test'; required\n      - eps: Constant for numeric stability\n      - momentum: Constant for running mean / variance. momentum=0 means that\n        old information is discarded completely at every time step, while\n        momentum=1 means that new information is never incorporated. The\n        default of momentum=0.9 should work well in most situations.\n      - running_mean: Array of shape (D,) giving running mean of features\n      - running_var Array of shape (D,) giving running variance of features\n\n    Returns a tuple of:\n    - out: Output data, of shape (N, C, H, W)\n    - cache: Values needed for the backward pass\n    \"\"\"\n    N, C, H, W = x.shape\n    x_flat = x.transpose(0, 2, 3, 1).reshape(-1, C)\n    out_flat, cache = batchnorm_forward(x_flat, gamma, beta, bn_param)\n    out = out_flat.reshape(N, H, W, C).transpose(0, 3, 1, 2)\n    return out, cache\n\n\ndef spatial_batchnorm_backward(dout, cache):\n    \"\"\"\n    Computes the backward pass for spatial batch normalization.\n\n    Inputs:\n    - dout: Upstream derivatives, of shape (N, C, H, W)\n    - cache: Values from the forward pass\n\n    Returns a tuple of:\n    - dx: Gradient with respect to inputs, of shape (N, C, H, W)\n    - dgamma: Gradient with respect to scale parameter, of shape (C,)\n    - dbeta: Gradient with respect to shift parameter, of shape (C,)\n    \"\"\"\n    N, C, H, W = dout.shape\n    dout_flat = dout.transpose(0, 2, 3, 1).reshape(-1, C)\n    dx_flat, dgamma, dbeta = batchnorm_backward(dout_flat, cache)\n    dx = dx_flat.reshape(N, H, W, C).transpose(0, 3, 1, 2)\n    return dx, dgamma, dbeta\n\n\ndef svm_loss(x, y):\n    \"\"\"\n    Computes the loss and gradient using for multiclass SVM classification.\n\n    Inputs:\n    - x: Input data, of shape (N, C) where x[i, j] is the score for the jth class\n      for the ith input.\n    - y: Vector of labels, of shape (N,) where y[i] is the label for x[i] and\n      0 <= y[i] < C\n\n    Returns a tuple of:\n    - loss: Scalar giving the loss\n    - dx: Gradient of the loss with respect to x\n    \"\"\"\n    N = x.shape[0]\n    correct_class_scores = x[np.arange(N), y]\n    margins = np.maximum(0, x - correct_class_scores[:, np.newaxis] + 1.0)\n    margins[np.arange(N), y] = 0\n    loss = np.sum(margins) / N\n    num_pos = np.sum(margins > 0, axis=1)\n    dx = np.zeros_like(x)\n    dx[margins > 0] = 1\n    dx[np.arange(N), y] -= num_pos\n    dx /= N\n    return loss, dx\n\n\ndef softmax_loss(x, y):\n    \"\"\"\n    Computes the loss and gradient for softmax classification.\n\n    Inputs:\n    - x: Input data, of shape (N, C) where x[i, j] is the score for the jth class\n      for the ith input.\n    - y: Vector of labels, of shape (N,) where y[i] is the label for x[i] and\n      0 <= y[i] < C\n\n    Returns a tuple of:\n    - loss: Scalar giving the loss\n    - dx: Gradient of the loss with respect to x\n    \"\"\"\n    probs = np.exp(x - np.max(x, axis=1, keepdims=True))\n    probs /= np.sum(probs, axis=1, keepdims=True)\n    N = x.shape[0]\n    loss = -np.sum(np.log(probs[np.arange(N), y])) / N\n    dx = probs.copy()\n    dx[np.arange(N), y] -= 1\n    dx /= N\n    return loss, dx\n"
  },
  {
    "path": "cs231n/assignment3/cs231n/net_visualization_pytorch.py",
    "content": "import torch\nimport random\nimport torchvision.transforms as T\nimport numpy as np\nfrom .image_utils import SQUEEZENET_MEAN, SQUEEZENET_STD\nfrom scipy.ndimage.filters import gaussian_filter1d\n\ndef compute_saliency_maps(X, y, model):\n    \"\"\"\n    Compute a class saliency map using the model for images X and labels y.\n\n    Input:\n    - X: Input images; Tensor of shape (N, 3, H, W)\n    - y: Labels for X; LongTensor of shape (N,)\n    - model: A pretrained CNN that will be used to compute the saliency map.\n\n    Returns:\n    - saliency: A Tensor of shape (N, H, W) giving the saliency maps for the input\n    images.\n    \"\"\"\n    # Make sure the model is in \"test\" mode\n    model.eval()\n\n    # Make input tensor require gradient\n    X.requires_grad_()\n\n    saliency = None\n    ##############################################################################\n    # TODO: Implement this function. Perform a forward and backward pass through #\n    # the model to compute the gradient of the correct class score with respect  #\n    # to each input image. You first want to compute the loss over the correct   #\n    # scores (we'll combine losses across a batch by summing), and then compute  #\n    # the gradients with a backward pass.                                        #\n    ##############################################################################\n    # *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n\n    # Make a forward pass of X (which contains N images) through the model.\n    # The output (scores) has shape (N, C): For each image, get its unnormalized\n    # scores (for each class of the dataset), e.g. C=1000 for a model trained on ImageNet.\n    scores = model(X)\n\n    # Get the -unnormalized- score of the correct class for each image.\n    # \"cscores\" has shape of (N,)\n    cscores = scores.gather(1, y.view(-1, 1)).squeeze()\n\n    # Compute the loss over the correct scores.\n    # As mentioned above, the loss is the sum across batch correct class scores.\n    loss = torch.sum(cscores)\n    # Apply the backward pass, which computes the gradient of the loss\n    # w.r.t. our model's parameters (among others, the input X).\n    loss.backward()\n\n    # Note that we can apply the backward pass directly from \"cscores\" by using:\n    # >>> cscores.backward(gradient=torch.ones_like(y))\n    # The reason: The sub-computational graph for the \"sum\" method is:\n    # -----\n    # Forward pass:                 cscores   ---> [sum] ---> loss\n    # Backward pass (gradiants):  [1, ..., 1] <--------------   1\n    # -----\n    # That is, we can directly start from \"cscores\" gradient, which is a tensor of\n    # ones with the shape (N,). Actually: ones_like(y) == ones_like(cscores)\n\n    # Compute the absolute value of the X gradients.\n    # Saliency Maps requires nonnegative values (gradients).\n    # For now, \"saliency\" has shape of: (N, 3, H, W)\n    saliency = X.grad.abs()\n    # Take the maximum value over the 3 input channels (for each of N images).\n    # Now, \"saliency\" has shape of: (N, H, W)\n    saliency = torch.max(saliency, dim=1).values\n\n    # *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n    ##############################################################################\n    #                             END OF YOUR CODE                               #\n    ##############################################################################\n    return saliency\n\ndef make_fooling_image(X, target_y, model):\n    \"\"\"\n    Generate a fooling image that is close to X, but that the model classifies\n    as target_y.\n\n    Inputs:\n    - X: Input image; Tensor of shape (1, 3, 224, 224)\n    - target_y: An integer in the range [0, 1000)\n    - model: A pretrained CNN\n\n    Returns:\n    - X_fooling: An image that is close to X, but that is classifed as target_y\n    by the model.\n    \"\"\"\n    # Initialize our fooling image to the input image, and make it require gradient\n    X_fooling = X.clone()\n    X_fooling = X_fooling.requires_grad_()\n\n    learning_rate = 1\n    ##############################################################################\n    # TODO: Generate a fooling image X_fooling that the model will classify as   #\n    # the class target_y. You should perform gradient ascent on the score of the #\n    # target class, stopping when the model is fooled.                           #\n    # When computing an update step, first normalize the gradient:               #\n    #   dX = learning_rate * g / ||g||_2                                         #\n    #                                                                            #\n    # You should write a training loop.                                          #\n    #                                                                            #\n    # HINT: For most examples, you should be able to generate a fooling image    #\n    # in fewer than 100 iterations of gradient ascent.                           #\n    # You can print your progress over iterations to check your algorithm.       #\n    ##############################################################################\n    # *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n\n    # Training loop: Apply gradient ascent 100 times, in maximum.\n    for epoch in range(100):\n      # Forward pass, \"scores\" shape is (1, 1000)\n      scores = model(X_fooling)\n\n      # Get the predicted class (pred) and its socre (pred_score).\n      pred_score, pred = torch.max(scores, axis=1)\n      pred_score, pred = pred_score.item(), pred.item()\n\n      # Get the \"target_y\" score.\n      target_score = scores[:, target_y].squeeze()\n\n      # Display some information about the current epoch (iteration).\n      print('Epoch: %2d ' % (epoch+1) + \\\n            '| Predicted class: %3d (Score: %.2f) ' % (pred, pred_score) + \\\n            '| Target class: %d (Score: %.2f)' % (target_y, target_score.item()))\n\n      # Check if the model is fooled, i.e. \"predicted class\" equals \"target_y\".\n      if pred == target_y:\n        print('\\nThe model is fooled.')\n        break\n\n      # Apply the backward pass: Compute the gradient of \"target score\" w.r.t.\n      # model's trainable parameters (among others, \"X_fooling\").\n      target_score.backward()\n\n      # Normalize the gradient (Note that \"L2 norm\" was used in the division).\n      X_fooling.grad *= learning_rate / torch.linalg.norm(X_fooling.grad)\n\n      # Compute an update step: Apply the gradient ascent.\n      # Note that an addition is used (+=) insted of substraction (-=), because\n      # the goal is to maximize \"target_y\" predicted score.\n      X_fooling.data += X_fooling.grad.data\n\n      # Re-initialize the gradient of \"X_fooling\" to zero (for the next epoch).\n      X_fooling.grad.data.zero_()\n\n    # *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n    ##############################################################################\n    #                             END OF YOUR CODE                               #\n    ##############################################################################\n    return X_fooling\n\ndef class_visualization_update_step(img, model, target_y, l2_reg, learning_rate):\n    ########################################################################\n    # TODO: Use the model to compute the gradient of the score for the     #\n    # class target_y with respect to the pixels of the image, and make a   #\n    # gradient step on the image using the learning rate. Don't forget the #\n    # L2 regularization term!                                              #\n    # Be very careful about the signs of elements in your code.            #\n    ########################################################################\n    # *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n\n    # Forward pass, \"scores\" shape is (1, 1000)\n    scores = model(img)\n\n    # Get the \"target_y\" score.\n    target_score = scores[:, target_y].squeeze()\n    # Add the regularization term (Note that the L2 norm is squared).\n    target_score -= l2_reg * torch.square(torch.linalg.norm(img))\n\n    # Apply the backward pass: Compute the gradient of \"target score\" w.r.t.\n    # model's trainable parameters (among others, \"img\").\n    target_score.backward()\n\n    # Compute an update step: Apply the gradient ascent.\n    # Note that an addition is used (+=) insted of substraction (-=), because\n    # the goal is to maximize \"target_y\" predicted score.\n    img.data += learning_rate * img.grad.data\n\n    # Re-initialize the gradient of \"img\" to zero.\n    img.grad.data.zero_()\n\n    # *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n    ########################################################################\n    #                             END OF YOUR CODE                         #\n    ########################################################################\n\n\ndef preprocess(img, size=224):\n    transform = T.Compose([\n        T.Resize(size),\n        T.ToTensor(),\n        T.Normalize(mean=SQUEEZENET_MEAN.tolist(),\n                    std=SQUEEZENET_STD.tolist()),\n        T.Lambda(lambda x: x[None]),\n    ])\n    return transform(img)\n\ndef deprocess(img, should_rescale=True):\n    transform = T.Compose([\n        T.Lambda(lambda x: x[0]),\n        T.Normalize(mean=[0, 0, 0], std=(1.0 / SQUEEZENET_STD).tolist()),\n        T.Normalize(mean=(-SQUEEZENET_MEAN).tolist(), std=[1, 1, 1]),\n        T.Lambda(rescale) if should_rescale else T.Lambda(lambda x: x),\n        T.ToPILImage(),\n    ])\n    return transform(img)\n\ndef rescale(x):\n    low, high = x.min(), x.max()\n    x_rescaled = (x - low) / (high - low)\n    return x_rescaled\n\ndef blur_image(X, sigma=1):\n    X_np = X.cpu().clone().numpy()\n    X_np = gaussian_filter1d(X_np, sigma, axis=2)\n    X_np = gaussian_filter1d(X_np, sigma, axis=3)\n    X.copy_(torch.Tensor(X_np).type_as(X))\n    return X\n\ndef jitter(X, ox, oy):\n    \"\"\"\n    Helper function to randomly jitter an image.\n\n    Inputs\n    - X: PyTorch Tensor of shape (N, C, H, W)\n    - ox, oy: Integers giving number of pixels to jitter along W and H axes\n\n    Returns: A new PyTorch Tensor of shape (N, C, H, W)\n    \"\"\"\n    if ox != 0:\n        left = X[:, :, :, :-ox]\n        right = X[:, :, :, -ox:]\n        X = torch.cat([right, left], dim=3)\n    if oy != 0:\n        top = X[:, :, :-oy]\n        bottom = X[:, :, -oy:]\n        X = torch.cat([bottom, top], dim=2)\n    return X\n"
  },
  {
    "path": "cs231n/assignment3/cs231n/optim.py",
    "content": "import numpy as np\n\n\"\"\"\nThis file implements various first-order update rules that are commonly used for\ntraining neural networks. Each update rule accepts current weights and the\ngradient of the loss with respect to those weights and produces the next set of\nweights. Each update rule has the same interface:\n\ndef update(w, dw, config=None):\n\nInputs:\n  - w: A numpy array giving the current weights.\n  - dw: A numpy array of the same shape as w giving the gradient of the\n    loss with respect to w.\n  - config: A dictionary containing hyperparameter values such as learning rate,\n    momentum, etc. If the update rule requires caching values over many\n    iterations, then config will also hold these cached values.\n\nReturns:\n  - next_w: The next point after the update.\n  - config: The config dictionary to be passed to the next iteration of the\n    update rule.\n\nNOTE: For most update rules, the default learning rate will probably not perform\nwell; however the default values of the other hyperparameters should work well\nfor a variety of different problems.\n\nFor efficiency, update rules may perform in-place updates, mutating w and\nsetting next_w equal to w.\n\"\"\"\n\n\ndef sgd(w, dw, config=None):\n    \"\"\"\n    Performs vanilla stochastic gradient descent.\n\n    config format:\n    - learning_rate: Scalar learning rate.\n    \"\"\"\n    if config is None:\n        config = {}\n    config.setdefault(\"learning_rate\", 1e-2)\n\n    w -= config[\"learning_rate\"] * dw\n    return w, config\n\n\ndef adam(x, dx, config=None):\n    \"\"\"\n    Uses the Adam update rule, which incorporates moving averages of both the\n    gradient and its square and a bias correction term.\n\n    config format:\n    - learning_rate: Scalar learning rate.\n    - beta1: Decay rate for moving average of first moment of gradient.\n    - beta2: Decay rate for moving average of second moment of gradient.\n    - epsilon: Small scalar used for smoothing to avoid dividing by zero.\n    - m: Moving average of gradient.\n    - v: Moving average of squared gradient.\n    - t: Iteration number.\n    \"\"\"\n    if config is None:\n        config = {}\n    config.setdefault(\"learning_rate\", 1e-3)\n    config.setdefault(\"beta1\", 0.9)\n    config.setdefault(\"beta2\", 0.999)\n    config.setdefault(\"epsilon\", 1e-8)\n    config.setdefault(\"m\", np.zeros_like(x))\n    config.setdefault(\"v\", np.zeros_like(x))\n    config.setdefault(\"t\", 0)\n\n    next_x = None\n    beta1, beta2, eps = config[\"beta1\"], config[\"beta2\"], config[\"epsilon\"]\n    t, m, v = config[\"t\"], config[\"m\"], config[\"v\"]\n    m = beta1 * m + (1 - beta1) * dx\n    v = beta2 * v + (1 - beta2) * (dx * dx)\n    t += 1\n    alpha = config[\"learning_rate\"] * np.sqrt(1 - beta2 ** t) / (1 - beta1 ** t)\n    x -= alpha * (m / (np.sqrt(v) + eps))\n    config[\"t\"] = t\n    config[\"m\"] = m\n    config[\"v\"] = v\n    next_x = x\n\n    return next_x, config\n"
  },
  {
    "path": "cs231n/assignment3/cs231n/rnn_layers.py",
    "content": "from __future__ import print_function, division\nfrom builtins import range\nimport numpy as np\n\n\n\"\"\"\nThis file defines layer types that are commonly used for recurrent neural\nnetworks.\n\"\"\"\n\n\ndef rnn_step_forward(x, prev_h, Wx, Wh, b):\n    \"\"\"\n    Run the forward pass for a single timestep of a vanilla RNN that uses a tanh\n    activation function.\n\n    The input data has dimension D, the hidden state has dimension H, and we use\n    a minibatch size of N.\n\n    Inputs:\n    - x: Input data for this timestep, of shape (N, D).\n    - prev_h: Hidden state from previous timestep, of shape (N, H)\n    - Wx: Weight matrix for input-to-hidden connections, of shape (D, H)\n    - Wh: Weight matrix for hidden-to-hidden connections, of shape (H, H)\n    - b: Biases of shape (H,)\n\n    Returns a tuple of:\n    - next_h: Next hidden state, of shape (N, H)\n    - cache: Tuple of values needed for the backward pass.\n    \"\"\"\n    next_h, cache = None, None\n    ##############################################################################\n    # TODO: Implement a single forward step for the vanilla RNN. Store the next  #\n    # hidden state and any values you need for the backward pass in the next_h   #\n    # and cache variables respectively.                                          #\n    ##############################################################################\n    # *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n\n    # Compute the input dot product (inprod), output shape is (N, H).\n    inprod = x @ Wx\n    # Compute the hidden dot product (hprod), output shape is (N, H).\n    hprod = prev_h @ Wh\n    # Compute the pre-activation (preact) sum.\n    preact = inprod + hprod + b\n    # Apply the RNN formula (with \"tanh\" activation function).\n    next_h = np.tanh(preact)\n    # Store the needed cache variables for the backward pass.\n    cache = (x, Wx, prev_h, Wh, b, preact)\n\n    # *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n    ##############################################################################\n    #                               END OF YOUR CODE                             #\n    ##############################################################################\n    return next_h, cache\n\n\ndef rnn_step_backward(dnext_h, cache):\n    \"\"\"\n    Backward pass for a single timestep of a vanilla RNN.\n\n    Inputs:\n    - dnext_h: Gradient of loss with respect to next hidden state, of shape (N, H)\n    - cache: Cache object from the forward pass\n\n    Returns a tuple of:\n    - dx: Gradients of input data, of shape (N, D)\n    - dprev_h: Gradients of previous hidden state, of shape (N, H)\n    - dWx: Gradients of input-to-hidden weights, of shape (D, H)\n    - dWh: Gradients of hidden-to-hidden weights, of shape (H, H)\n    - db: Gradients of bias vector, of shape (H,)\n    \"\"\"\n    dx, dprev_h, dWx, dWh, db = None, None, None, None, None\n    ##############################################################################\n    # TODO: Implement the backward pass for a single step of a vanilla RNN.      #\n    #                                                                            #\n    # HINT: For the tanh function, you can compute the local derivative in terms #\n    # of the output value from tanh.                                             #\n    ##############################################################################\n    # *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n\n    # Unpack cached variables (from the forward pass).\n    x, Wx, prev_h, Wh, b, preact = cache\n\n    # Compute the gradiant from: next_h = np.tanh(preact)\n    # \"tanh\" derivate is: 1 - tanh^2\n    d_preact = (1 - np.tanh(preact)**2) * dnext_h\n\n    # Compute \"db\" from: preact = ... + b\n    # Apply \"sum\" function to match the initial \"b\" shape.\n    db = d_preact.sum(axis=0)\n\n    # Compute \"dWh\" and \"dprev_h\" from: hprod = prev_h @ Wh\n    # \"Transpose\" operation applied to match the initial shape.\n    dWh = prev_h.T @ d_preact\n    dprev_h = d_preact @ Wh.T\n\n    #Compute \"dWx\" and \"dx\" from: inprod = x @ Wx\n    dWx = x.T @ d_preact\n    dx = d_preact @ Wx.T\n\n    # *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n    ##############################################################################\n    #                               END OF YOUR CODE                             #\n    ##############################################################################\n    return dx, dprev_h, dWx, dWh, db\n\n\ndef rnn_forward(x, h0, Wx, Wh, b):\n    \"\"\"\n    Run a vanilla RNN forward on an entire sequence of data. We assume an input\n    sequence composed of T vectors, each of dimension D. The RNN uses a hidden\n    size of H, and we work over a minibatch containing N sequences. After running\n    the RNN forward, we return the hidden states for all timesteps.\n\n    Inputs:\n    - x: Input data for the entire timeseries, of shape (N, T, D).\n    - h0: Initial hidden state, of shape (N, H)\n    - Wx: Weight matrix for input-to-hidden connections, of shape (D, H)\n    - Wh: Weight matrix for hidden-to-hidden connections, of shape (H, H)\n    - b: Biases of shape (H,)\n\n    Returns a tuple of:\n    - h: Hidden states for the entire timeseries, of shape (N, T, H).\n    - cache: Values needed in the backward pass\n    \"\"\"\n    h, cache = None, None\n    ##############################################################################\n    # TODO: Implement forward pass for a vanilla RNN running on a sequence of    #\n    # input data. You should use the rnn_step_forward function that you defined  #\n    # above. You can use a for loop to help compute the forward pass.            #\n    ##############################################################################\n    # *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n\n    # Get dimension values from \"x\" and \"h0\"\n    N, T, D = x.shape\n    H = h0.shape[1]\n\n    # Initialize the hidden states array for the entire timeseries.\n    h = np.zeros((N, T, H))\n    # Initialize the cache. It will contain the cache for all timeseries.\n    cache = []\n    # Initialize the previous hidden state (prev_h) with the initial one.\n    prev_h = h0\n\n    # Loop over timeseries. Current timeserie is \"ts\" (integer).\n    for ts in range(T):\n      # Get the minibatch for current \"ts\".\n      ts_x = x[:, ts, :]\n      # Apply the forward step.\n      ts_h, ts_cache = rnn_step_forward(ts_x, prev_h, Wx, Wh, b)\n      # Currect timeserie hidden state (ts_h) will be 'previous' in the next \"ts\".\n      prev_h = ts_h\n      # Add \"ts_h\" to the hidden states array.\n      h[:, ts, :] = ts_h\n      # Add the current timestep cache (ts_cache) to the global cache array.\n      cache.append(ts_cache)\n\n    # *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n    ##############################################################################\n    #                               END OF YOUR CODE                             #\n    ##############################################################################\n    return h, cache\n\n\ndef rnn_backward(dh, cache):\n    \"\"\"\n    Compute the backward pass for a vanilla RNN over an entire sequence of data.\n\n    Inputs:\n    - dh: Upstream gradients of all hidden states, of shape (N, T, H). \n    \n    NOTE: 'dh' contains the upstream gradients produced by the \n    individual loss functions at each timestep, *not* the gradients\n    being passed between timesteps (which you'll have to compute yourself\n    by calling rnn_step_backward in a loop).\n\n    Returns a tuple of:\n    - dx: Gradient of inputs, of shape (N, T, D)\n    - dh0: Gradient of initial hidden state, of shape (N, H)\n    - dWx: Gradient of input-to-hidden weights, of shape (D, H)\n    - dWh: Gradient of hidden-to-hidden weights, of shape (H, H)\n    - db: Gradient of biases, of shape (H,)\n    \"\"\"\n    dx, dh0, dWx, dWh, db = None, None, None, None, None\n    ##############################################################################\n    # TODO: Implement the backward pass for a vanilla RNN running an entire      #\n    # sequence of data. You should use the rnn_step_backward function that you   #\n    # defined above. You can use a for loop to help compute the backward pass.   #\n    ##############################################################################\n    # *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n\n    # Get dimension values from \"dh\"\n    N, T, H = dh.shape\n    # Get the \"D\" value from the first timestep, first cached variable (the \"x\").\n    D = cache[0][0].shape[1]\n\n    # Initialize gradients with zeros.\n    dx = np.zeros((N, T, D))\n    dWx = np.zeros((D, H))\n    dWh = np.zeros((H, H))\n    db = np.zeros((H,))\n    # Initialize the derivate of the previous timestep hidden output (dprev_tsh)\n    # with the last \"dh\", because:\n    # - In the RNN backward pass, we must iterate over timesteps from the end\n    # to the beginnig.\n    # - The last hidden output derivate is the derivative of the input to the\n    # loss function only (since there is no another timestep).\n    dprev_tsh = dh[:, T-1, :]\n\n    # Loop through timesteps in descending order. Current timeserie is \"ts\" (integer).\n    for ts in range(T-1, -1, -1):\n      # Apply the backward step.\n      out_backward = rnn_step_backward(dprev_tsh, cache[ts])\n\n      # Assign current timestep 'x' gadient.\n      dx[:, ts, :] = out_backward[0]\n      # Sum 'dWx', 'dWh' and 'db' gradients.\n      dWx += out_backward[2]\n      dWh += out_backward[3]\n      db += out_backward[4]\n\n      # Get the current hidden timestep input 'first' gradient.\n      dprev_h = out_backward[1]\n      # Check if we got to the first timestep (i.e. The last backward-ed timestep).\n      if ts == 0:\n        dh0 = dprev_h\n      else:\n        # The current hidden timestep input is the sum of the \"1st input gradient\"\n        # and the \"upcoming gradient from the loss\".\n        dprev_tsh = dprev_h + dh[:, ts-1, :]\n\n    # *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n    ##############################################################################\n    #                               END OF YOUR CODE                             #\n    ##############################################################################\n    return dx, dh0, dWx, dWh, db\n\n\ndef word_embedding_forward(x, W):\n    \"\"\"\n    Forward pass for word embeddings. We operate on minibatches of size N where\n    each sequence has length T. We assume a vocabulary of V words, assigning each\n    word to a vector of dimension D.\n\n    Inputs:\n    - x: Integer array of shape (N, T) giving indices of words. Each element idx\n      of x muxt be in the range 0 <= idx < V.\n    - W: Weight matrix of shape (V, D) giving word vectors for all words.\n\n    Returns a tuple of:\n    - out: Array of shape (N, T, D) giving word vectors for all input words.\n    - cache: Values needed for the backward pass\n    \"\"\"\n    out, cache = None, None\n    ##############################################################################\n    # TODO: Implement the forward pass for word embeddings.                      #\n    #                                                                            #\n    # HINT: This can be done in one line using NumPy's array indexing.           #\n    ##############################################################################\n    # *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n\n    out = W[x]\n\n    # Only 'x' and 'shape of W' must be cached ('W' itself is not needed).\n    cache = (x, W.shape)\n\n    # *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n    ##############################################################################\n    #                               END OF YOUR CODE                             #\n    ##############################################################################\n    return out, cache\n\n\ndef word_embedding_backward(dout, cache):\n    \"\"\"\n    Backward pass for word embeddings. We cannot back-propagate into the words\n    since they are integers, so we only return gradient for the word embedding\n    matrix.\n\n    HINT: Look up the function np.add.at\n\n    Inputs:\n    - dout: Upstream gradients of shape (N, T, D)\n    - cache: Values from the forward pass\n\n    Returns:\n    - dW: Gradient of word embedding matrix, of shape (V, D).\n    \"\"\"\n    dW = None\n    ##############################################################################\n    # TODO: Implement the backward pass for word embeddings.                     #\n    #                                                                            #\n    # Note that words can appear more than once in a sequence.                   #\n    # HINT: Look up the function np.add.at                                       #\n    ##############################################################################\n    # *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n\n    x, Wshape = cache\n\n    # 'dW' must have the same shape as 'W'.\n    dW = np.zeros(Wshape)\n\n    np.add.at(dW, x, dout)\n\n    # *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n    ##############################################################################\n    #                               END OF YOUR CODE                             #\n    ##############################################################################\n    return dW\n\n\ndef sigmoid(x):\n    \"\"\"\n    A numerically stable version of the logistic sigmoid function.\n    \"\"\"\n    pos_mask = x >= 0\n    neg_mask = x < 0\n    z = np.zeros_like(x)\n    z[pos_mask] = np.exp(-x[pos_mask])\n    z[neg_mask] = np.exp(x[neg_mask])\n    top = np.ones_like(x)\n    top[neg_mask] = z[neg_mask]\n    return top / (1 + z)\n\n\ndef lstm_step_forward(x, prev_h, prev_c, Wx, Wh, b):\n    \"\"\"\n    Forward pass for a single timestep of an LSTM.\n\n    The input data has dimension D, the hidden state has dimension H, and we use\n    a minibatch size of N.\n\n    Note that a sigmoid() function has already been provided for you in this file.\n\n    Inputs:\n    - x: Input data, of shape (N, D)\n    - prev_h: Previous hidden state, of shape (N, H)\n    - prev_c: previous cell state, of shape (N, H)\n    - Wx: Input-to-hidden weights, of shape (D, 4H)\n    - Wh: Hidden-to-hidden weights, of shape (H, 4H)\n    - b: Biases, of shape (4H,)\n\n    Returns a tuple of:\n    - next_h: Next hidden state, of shape (N, H)\n    - next_c: Next cell state, of shape (N, H)\n    - cache: Tuple of values needed for backward pass.\n    \"\"\"\n    next_h, next_c, cache = None, None, None\n    #############################################################################\n    # TODO: Implement the forward pass for a single timestep of an LSTM.        #\n    # You may want to use the numerically stable sigmoid implementation above.  #\n    #############################################################################\n    # *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n\n    # Compute the input dot product (inprod), output shape is (N, 4H).\n    inprod = x @ Wx\n    # Compute the hidden dot product (hprod), output shape is (N, 4H).\n    hprod = prev_h @ Wh\n    # Compute the pre-activation (preact) sum, output shape is (N, 4H).\n    preact = inprod + hprod + b\n\n    # Split \"preact\" along the column-axis into 4 parts [each of shape (N, H)].\n    ai, af, ao, ag = tuple(np.split(preact, 4, axis=1))\n\n    # Compute respectively 'input', 'forget', 'output' and 'block' gates.\n    i = sigmoid(ai)\n    f = sigmoid(af)\n    o = sigmoid(ao)\n    g = np.tanh(ag)\n\n    # Compute the next cell state (next_c).\n    next_c = f * prev_c + i * g\n    # Compute the next hidden state (next_h).\n    ncth = np.tanh(next_c)\n    next_h = o * ncth\n\n    # Store the needed cache variables for the backward pass.\n    cache = (x, prev_h, prev_c, Wx, Wh, b, preact, i, f, o, g, ncth)\n\n    # *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n    ##############################################################################\n    #                               END OF YOUR CODE                             #\n    ##############################################################################\n\n    return next_h, next_c, cache\n\n\ndef lstm_step_backward(dnext_h, dnext_c, cache):\n    \"\"\"\n    Backward pass for a single timestep of an LSTM.\n\n    Inputs:\n    - dnext_h: Gradients of next hidden state, of shape (N, H)\n    - dnext_c: Gradients of next cell state, of shape (N, H)\n    - cache: Values from the forward pass\n\n    Returns a tuple of:\n    - dx: Gradient of input data, of shape (N, D)\n    - dprev_h: Gradient of previous hidden state, of shape (N, H)\n    - dprev_c: Gradient of previous cell state, of shape (N, H)\n    - dWx: Gradient of input-to-hidden weights, of shape (D, 4H)\n    - dWh: Gradient of hidden-to-hidden weights, of shape (H, 4H)\n    - db: Gradient of biases, of shape (4H,)\n    \"\"\"\n    dx, dprev_h, dprev_c, dWx, dWh, db = None, None, None, None, None, None\n    #############################################################################\n    # TODO: Implement the backward pass for a single timestep of an LSTM.       #\n    #                                                                           #\n    # HINT: For sigmoid and tanh you can compute local derivatives in terms of  #\n    # the output value from the nonlinearity.                                   #\n    #############################################################################\n    # *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n\n    # Unpack cached variables (from the forward pass).\n    x, prev_h, prev_c, Wx, Wh, b, preact, i, f, o, g, ncth = cache\n\n    # Compute \"do\" and \"d_ncth\" from: next_h = o * ncth\n    do = ncth * dnext_h\n    d_ncth = o * dnext_h\n\n    # Compute the derivate of \"next_c\" used to compute \"next_h\".\n    d_next_c_h = d_ncth * (1 - ncth**2)\n    # Sum output \"dnext_c\" with the one used to compute \"next_h\".\n    dnext_c += d_next_c_h\n\n    # Compute \"dprev_c\" and \"df\" from: next_c = f * prev_c + ...\n    dprev_c = f * dnext_c\n    df = prev_c * dnext_c\n\n    # Compute \"di\" and \"dg\" from: next_c = ... + i * g\n    di = g * dnext_c\n    dg = i * dnext_c\n\n    # Compute gates derivates: \"dai\", \"daf\", \"dao\" and \"dag\".\n    # Derivate of the \"sigmoid\" is: sig(x)' = sig(x) * (1 - sig(x))\n    # Derivate of the \"tanh\" is: tanh(x)' = 1 - tanh(x)^2\n    dai = (i * (1 - i)) * di\n    daf = (f * (1 - f)) * df\n    dao = (o * (1 - o)) * do\n    dag = (1 - g**2) * dg\n\n    # Stack horizontally gates derivates [each of shape (N, H)].\n    # \"d_preact\" shape is (N, 4H)\n    d_preact = np.hstack((dai, daf, dao, dag))\n\n    # Compute \"db\" from: preact = ... + b\n    # Apply \"sum\" function to match the initial \"b\" shape.\n    db = d_preact.sum(axis=0)\n\n    # Compute \"dWh\" and \"dprev_h\" from: hprod = prev_h @ Wh\n    # \"Transpose\" operation applied to match the initial shape.\n    dWh = prev_h.T @ d_preact\n    dprev_h = d_preact @ Wh.T\n\n    #Compute \"dWx\" and \"dx\" from: inprod = x @ Wx\n    dWx = x.T @ d_preact\n    dx = d_preact @ Wx.T\n\n    # *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n    ##############################################################################\n    #                               END OF YOUR CODE                             #\n    ##############################################################################\n\n    return dx, dprev_h, dprev_c, dWx, dWh, db\n\n\ndef lstm_forward(x, h0, Wx, Wh, b):\n    \"\"\"\n    Forward pass for an LSTM over an entire sequence of data. We assume an input\n    sequence composed of T vectors, each of dimension D. The LSTM uses a hidden\n    size of H, and we work over a minibatch containing N sequences. After running\n    the LSTM forward, we return the hidden states for all timesteps.\n\n    Note that the initial cell state is passed as input, but the initial cell\n    state is set to zero. Also note that the cell state is not returned; it is\n    an internal variable to the LSTM and is not accessed from outside.\n\n    Inputs:\n    - x: Input data of shape (N, T, D)\n    - h0: Initial hidden state of shape (N, H)\n    - Wx: Weights for input-to-hidden connections, of shape (D, 4H)\n    - Wh: Weights for hidden-to-hidden connections, of shape (H, 4H)\n    - b: Biases of shape (4H,)\n\n    Returns a tuple of:\n    - h: Hidden states for all timesteps of all sequences, of shape (N, T, H)\n    - cache: Values needed for the backward pass.\n    \"\"\"\n    h, cache = None, None\n    #############################################################################\n    # TODO: Implement the forward pass for an LSTM over an entire timeseries.   #\n    # You should use the lstm_step_forward function that you just defined.      #\n    #############################################################################\n    # *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n\n    # Get dimension values from \"x\" and \"h0\"\n    N, T, D = x.shape\n    H = h0.shape[1]\n\n    # Initialize the hidden states array for the entire timeseries.\n    h = np.zeros((N, T, H))\n    # Initialize the cache. It will contain the cache for all timeseries.\n    cache = []\n    # Initialize the previous hidden state (prev_h) with the initial one.\n    prev_h = h0\n    # Initialize the cell state with zeros.\n    prev_c = np.zeros((N, H))\n\n    # Loop over timeseries. Current timeserie is \"ts\" (integer).\n    for ts in range(T):\n      # Get the minibatch for current \"ts\".\n      ts_x = x[:, ts, :]\n      # Apply the forward step.\n      ts_h, ts_c, ts_cache = lstm_step_forward(ts_x, prev_h, prev_c, Wx, Wh, b)\n      # Current timeserie hidden state (ts_h) will be 'previous' in the next \"ts\".\n      # The same for \"ts_c\".\n      prev_h, prev_c = ts_h, ts_c\n      # Add \"ts_h\" to the hidden states array.\n      h[:, ts, :] = ts_h\n      # Add the current timestep cache (ts_cache) to the global cache array.\n      cache.append(ts_cache)\n\n    # *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n    ##############################################################################\n    #                               END OF YOUR CODE                             #\n    ##############################################################################\n\n    return h, cache\n\n\ndef lstm_backward(dh, cache):\n    \"\"\"\n    Backward pass for an LSTM over an entire sequence of data.]\n\n    Inputs:\n    - dh: Upstream gradients of hidden states, of shape (N, T, H)\n    - cache: Values from the forward pass\n\n    Returns a tuple of:\n    - dx: Gradient of input data of shape (N, T, D)\n    - dh0: Gradient of initial hidden state of shape (N, H)\n    - dWx: Gradient of input-to-hidden weight matrix of shape (D, 4H)\n    - dWh: Gradient of hidden-to-hidden weight matrix of shape (H, 4H)\n    - db: Gradient of biases, of shape (4H,)\n    \"\"\"\n    dx, dh0, dWx, dWh, db = None, None, None, None, None\n    #############################################################################\n    # TODO: Implement the backward pass for an LSTM over an entire timeseries.  #\n    # You should use the lstm_step_backward function that you just defined.     #\n    #############################################################################\n    # *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n\n    # Get dimension values from \"dh\"\n    N, T, H = dh.shape\n    # Get the \"D\" value from the first timestep, first cached variable (the \"x\").\n    D = cache[0][0].shape[1]\n\n    # Initialize gradients with zeros.\n    dx = np.zeros((N, T, D))\n    dWx = np.zeros((D, 4*H))\n    dWh = np.zeros((H, 4*H))\n    db = np.zeros((4*H,))\n    # Initialize the derivate of the previous timestep hidden output (dprev_tsh)\n    # with the last \"dh\", because:\n    # - In the LSTM backward pass, we must iterate over timesteps from the end\n    # to the beginnig.\n    # - The last hidden output derivate is the derivative of the input to the\n    # loss function only (since there is no another timestep).\n    dprev_tsh = dh[:, T-1, :]\n    # Initialize the last cell state gradient (dprev_c) with zeros. Since the last \n    # cell state is not used anywhere. So, its derivate equals to zero (matrix form).\n    dprev_c = np.zeros((N, H))\n\n    # Loop through timesteps in descending order. Current timeserie is \"ts\" (integer).\n    for ts in range(T-1, -1, -1):\n      # Apply the backward step.\n      # \"out_backward\" contains (respectively): dx, dprev_h, dprev_c, dWx, dWh, db\n      out_backward = lstm_step_backward(dprev_tsh, dprev_c, cache[ts])\n\n      # Assign current timestep 'x' gadient.\n      dx[:, ts, :] = out_backward[0]\n      # Sum 'dWx', 'dWh' and 'db' gradients.\n      dWx += out_backward[3]\n      dWh += out_backward[4]\n      db += out_backward[5]\n\n      dprev_c = out_backward[2]\n\n      # Get the current hidden timestep input 'first' gradient.\n      dprev_h = out_backward[1]\n      # Check if we got to the first timestep (i.e. The last backward-ed timestep).\n      if ts == 0:\n        dh0 = dprev_h\n      else:\n        # The current hidden timestep input is the sum of the \"1st input gradient\"\n        # and the \"upcoming gradient from the loss\".\n        dprev_tsh = dprev_h + dh[:, ts-1, :]\n\n    # *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n    ##############################################################################\n    #                               END OF YOUR CODE                             #\n    ##############################################################################\n\n    return dx, dh0, dWx, dWh, db\n\n\ndef temporal_affine_forward(x, w, b):\n    \"\"\"\n    Forward pass for a temporal affine layer. The input is a set of D-dimensional\n    vectors arranged into a minibatch of N timeseries, each of length T. We use\n    an affine function to transform each of those vectors into a new vector of\n    dimension M.\n\n    Inputs:\n    - x: Input data of shape (N, T, D)\n    - w: Weights of shape (D, M)\n    - b: Biases of shape (M,)\n\n    Returns a tuple of:\n    - out: Output data of shape (N, T, M)\n    - cache: Values needed for the backward pass\n    \"\"\"\n    N, T, D = x.shape\n    M = b.shape[0]\n    out = x.reshape(N * T, D).dot(w).reshape(N, T, M) + b\n    cache = x, w, b, out\n    return out, cache\n\n\ndef temporal_affine_backward(dout, cache):\n    \"\"\"\n    Backward pass for temporal affine layer.\n\n    Input:\n    - dout: Upstream gradients of shape (N, T, M)\n    - cache: Values from forward pass\n\n    Returns a tuple of:\n    - dx: Gradient of input, of shape (N, T, D)\n    - dw: Gradient of weights, of shape (D, M)\n    - db: Gradient of biases, of shape (M,)\n    \"\"\"\n    x, w, b, out = cache\n    N, T, D = x.shape\n    M = b.shape[0]\n\n    dx = dout.reshape(N * T, M).dot(w.T).reshape(N, T, D)\n    dw = dout.reshape(N * T, M).T.dot(x.reshape(N * T, D)).T\n    db = dout.sum(axis=(0, 1))\n\n    return dx, dw, db\n\n\ndef temporal_softmax_loss(x, y, mask, verbose=False):\n    \"\"\"\n    A temporal version of softmax loss for use in RNNs. We assume that we are\n    making predictions over a vocabulary of size V for each timestep of a\n    timeseries of length T, over a minibatch of size N. The input x gives scores\n    for all vocabulary elements at all timesteps, and y gives the indices of the\n    ground-truth element at each timestep. We use a cross-entropy loss at each\n    timestep, summing the loss over all timesteps and averaging across the\n    minibatch.\n\n    As an additional complication, we may want to ignore the model output at some\n    timesteps, since sequences of different length may have been combined into a\n    minibatch and padded with NULL tokens. The optional mask argument tells us\n    which elements should contribute to the loss.\n\n    Inputs:\n    - x: Input scores, of shape (N, T, V)\n    - y: Ground-truth indices, of shape (N, T) where each element is in the range\n         0 <= y[i, t] < V\n    - mask: Boolean array of shape (N, T) where mask[i, t] tells whether or not\n      the scores at x[i, t] should contribute to the loss.\n\n    Returns a tuple of:\n    - loss: Scalar giving loss\n    - dx: Gradient of loss with respect to scores x.\n    \"\"\"\n\n    N, T, V = x.shape\n\n    x_flat = x.reshape(N * T, V)\n    y_flat = y.reshape(N * T)\n    mask_flat = mask.reshape(N * T)\n\n    probs = np.exp(x_flat - np.max(x_flat, axis=1, keepdims=True))\n    probs /= np.sum(probs, axis=1, keepdims=True)\n    loss = -np.sum(mask_flat * np.log(probs[np.arange(N * T), y_flat])) / N\n    dx_flat = probs.copy()\n    dx_flat[np.arange(N * T), y_flat] -= 1\n    dx_flat /= N\n    dx_flat *= mask_flat[:, None]\n\n    if verbose:\n        print(\"dx_flat: \", dx_flat.shape)\n\n    dx = dx_flat.reshape(N, T, V)\n\n    return loss, dx\n"
  },
  {
    "path": "cs231n/assignment3/cs231n/setup.py",
    "content": "from distutils.core import setup\nfrom distutils.extension import Extension\nfrom Cython.Build import cythonize\nimport numpy\n\nextensions = [\n    Extension(\n        \"im2col_cython\", [\"im2col_cython.pyx\"], include_dirs=[numpy.get_include()]\n    ),\n]\n\nsetup(ext_modules=cythonize(extensions),)\n"
  },
  {
    "path": "cs231n/assignment3/cs231n/style_transfer_pytorch.py",
    "content": "import torch\nimport torch.nn as nn\nimport torchvision\nimport torchvision.transforms as T\nimport PIL\n\nimport numpy as np\n\nfrom .image_utils import SQUEEZENET_MEAN, SQUEEZENET_STD\n\n# dtype = torch.FloatTensor\n# Uncomment out the following line if you're on a machine with a GPU set up for PyTorch!\ndtype = torch.cuda.FloatTensor\ndef content_loss(content_weight, content_current, content_original):\n    \"\"\"\n    Compute the content loss for style transfer.\n\n    Inputs:\n    - content_weight: Scalar giving the weighting for the content loss.\n    - content_current: features of the current image; this is a PyTorch Tensor of shape\n      (1, C_l, H_l, W_l).\n    - content_target: features of the content image, Tensor with shape (1, C_l, H_l, W_l).\n\n    Returns:\n    - scalar content loss\n    \"\"\"\n    # *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n\n    # Sum of the squared difference of current/original feature maps.\n    sum_fm = torch.sum((content_current - content_original) ** 2)\n    # Compute the content loss.\n    loss = content_weight * sum_fm\n\n    return loss\n\n    # *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n\ndef gram_matrix(features, normalize=True):\n    \"\"\"\n    Compute the Gram matrix from features.\n\n    Inputs:\n    - features: PyTorch Tensor of shape (N, C, H, W) giving features for\n      a batch of N images.\n    - normalize: optional, whether to normalize the Gram matrix\n        If True, divide the Gram matrix by the number of neurons (H * W * C)\n\n    Returns:\n    - gram: PyTorch Tensor of shape (N, C, C) giving the\n      (optionally normalized) Gram matrices for the N input images.\n    \"\"\"\n    # *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n\n    N, C, H, W = features.shape\n\n    # Reshape \"features\" to (N, C, M), where M=H*W.\n    rfeatures = features.view(N, C, H*W)\n    # Transpose the last two axes of the \"reshaped features\".\n    # \"trfeatures\" shape is (N, M, C)\n    # This is needed to apply the \"matmul\" operator below.\n    trfeatures = torch.transpose(rfeatures, 1, 2)\n\n    # Apply the \"matmul\" operator, which computes the \"dot product\"\n    # of the last two axes (which must be linear).\n    # Shapes: (N, C, M) @ (N, M, C) -> (N, C, C)\n    gm = rfeatures @ trfeatures\n\n    # Optionally, normalize the Gram matrix.\n    if normalize:\n      gm /= (H * W * C)\n\n    return gm\n\n    # *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n\n# Now put it together in the style_loss function...\ndef style_loss(feats, style_layers, style_targets, style_weights):\n    \"\"\"\n    Computes the style loss at a set of layers.\n\n    Inputs:\n    - feats: list of the features at every layer of the current image, as produced by\n      the extract_features function.\n    - style_layers: List of layer indices into feats giving the layers to include in the\n      style loss.\n    - style_targets: List of the same length as style_layers, where style_targets[i] is\n      a PyTorch Tensor giving the Gram matrix of the source style image computed at\n      layer style_layers[i].\n    - style_weights: List of the same length as style_layers, where style_weights[i]\n      is a scalar giving the weight for the style loss at layer style_layers[i].\n\n    Returns:\n    - style_loss: A PyTorch Tensor holding a scalar giving the style loss.\n    \"\"\"\n    # Hint: you can do this with one for loop over the style layers, and should\n    # not be very much code (~5 lines). You will need to use your gram_matrix function.\n    # *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n\n    # Initialize the \"loss\".\n    loss = 0.0\n\n    # Loop over \"style_layers\", track the \"layer index\" (li) and its \"index\" (idx).\n    for idx, li in enumerate(style_layers):\n      # Compute the Gram matrix of \"features\" in the current layer index.\n      current_gm = gram_matrix(feats[li])\n      # Compute the current layer \"style loss\".\n      curr_loss = style_weights[idx] * \\\n                  torch.sum((current_gm - style_targets[idx]) ** 2)\n      # Add the computed \"style loss\" to \"loss\".\n      loss += curr_loss\n\n    return loss\n\n    # *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n\ndef tv_loss(img, tv_weight):\n    \"\"\"\n    Compute total variation loss.\n\n    Inputs:\n    - img: PyTorch Variable of shape (1, 3, H, W) holding an input image.\n    - tv_weight: Scalar giving the weight w_t to use for the TV loss.\n\n    Returns:\n    - loss: PyTorch Variable holding a scalar giving the total variation loss\n      for img weighted by tv_weight.\n    \"\"\"\n    # Your implementation should be vectorized and not require any loops!\n    # *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n\n    # Sum through the height.\n    sumh = torch.sum((img[..., 1:, :] - img[..., :-1, :]) ** 2)\n    # Sum through the width.\n    sumw = torch.sum((img[..., 1:] - img[..., :-1]) ** 2)\n    # Compute the loss.\n    loss = tv_weight * (sumh + sumw)\n\n    return loss\n\n    # *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n\ndef preprocess(img, size=512):\n    \"\"\" Preprocesses a PIL JPG Image object to become a Pytorch tensor\n        that is ready to be used as an input into the CNN model.\n        Preprocessing steps:\n            1) Resize the image (preserving aspect ratio) until the shortest side is of length `size`.\n            2) Convert the PIL Image to a Pytorch Tensor.\n            3) Normalize the mean of the image pixel values to be SqueezeNet's expected mean, and\n                 the standard deviation to be SqueezeNet's expected std dev.\n            4) Add a batch dimension in the first position of the tensor: aka, a tensor of shape\n                 (H, W, C) will become -> (1, H, W, C).\n    \"\"\"\n    transform = T.Compose([\n        T.Resize(size),\n        T.ToTensor(),\n        T.Normalize(mean=SQUEEZENET_MEAN.tolist(),\n                    std=SQUEEZENET_STD.tolist()),\n        T.Lambda(lambda x: x[None]),\n    ])\n    return transform(img)\n\ndef deprocess(img):\n    \"\"\" De-processes a Pytorch tensor from the output of the CNN model to become\n        a PIL JPG Image that we can display, save, etc.\n        De-processing steps:\n            1) Remove the batch dimension at the first position by accessing the slice at index 0.\n                 A tensor of dims (1, H, W, C) will become -> (H, W, C).\n            2) Normalize the standard deviation: multiply each channel of the output tensor by 1/s,\n                 scaling the elements back to before scaling by SqueezeNet's standard devs.\n                 No change to the mean.\n            3) Normalize the mean: subtract the mean (hence the -m) from each channel of the output tensor,\n                 centering the elements back to before centering on SqueezeNet's input mean.\n                 No change to the std dev.\n            4) Rescale all the values in the tensor so that they lie in the interval [0, 1] to prepare for\n                 transforming it into image pixel values.\n            5) Convert the Pytorch Tensor to a PIL Image.\n    \"\"\"\n    transform = T.Compose([\n        T.Lambda(lambda x: x[0]),\n        T.Normalize(mean=[0, 0, 0], std=[1.0 / s for s in SQUEEZENET_STD.tolist()]),\n        T.Normalize(mean=[-m for m in SQUEEZENET_MEAN.tolist()], std=[1, 1, 1]),\n        T.Lambda(rescale),\n        T.ToPILImage(),\n    ])\n    return transform(img)\n\ndef rescale(x):\n    \"\"\" A function used internally inside `deprocess`.\n        Rescale elements of x linearly to be in the interval [0, 1]\n        with the minimum element(s) mapped to 0, and the maximum element(s)\n        mapped to 1.\n    \"\"\"\n    low, high = x.min(), x.max()\n    x_rescaled = (x - low) / (high - low)\n    return x_rescaled\n\ndef rel_error(x,y):\n    return np.max(np.abs(x - y) / (np.maximum(1e-8, np.abs(x) + np.abs(y))))\n\n# We provide this helper code which takes an image, a model (cnn), and returns a list of\n# feature maps, one per layer.\ndef extract_features(x, cnn):\n    \"\"\"\n    Use the CNN to extract features from the input image x.\n\n    Inputs:\n    - x: A PyTorch Tensor of shape (N, C, H, W) holding a minibatch of images that\n      will be fed to the CNN.\n    - cnn: A PyTorch model that we will use to extract features.\n\n    Returns:\n    - features: A list of feature for the input images x extracted using the cnn model.\n      features[i] is a PyTorch Tensor of shape (N, C_i, H_i, W_i); recall that features\n      from different layers of the network may have different numbers of channels (C_i) and\n      spatial dimensions (H_i, W_i).\n    \"\"\"\n    features = []\n    prev_feat = x\n    for i, module in enumerate(cnn._modules.values()):\n        next_feat = module(prev_feat)\n        features.append(next_feat)\n        prev_feat = next_feat\n    return features\n\n#please disregard warnings about initialization\ndef features_from_img(imgpath, imgsize, cnn):\n    img = preprocess(PIL.Image.open(imgpath), size=imgsize)\n    img_var = img.type(dtype)\n    return extract_features(img_var, cnn), img_var\n\n\n\n\n"
  },
  {
    "path": "cs231n/assignment3/requirements.txt",
    "content": "attrs==19.1.0\nbackcall==0.1.0\nbleach==3.1.0\ncertifi==2019.3.9\nchardet==3.0.4\ncolorama==0.4.1\ncycler==0.10.0\nCython==0.29.16\ndecorator==4.4.0\ndefusedxml==0.5.0\nentrypoints==0.3\nfuture==0.17.1\ngitdb2==2.0.5\nGitPython==2.1.11\nidna==2.8\nipykernel==5.1.0\nipython==7.4.0\nipython-genutils==0.2.0\nipywidgets==7.4.2\nimageio==2.8.0\njedi==0.13.3\nJinja2==2.10\njsonschema==3.0.1\njupyter==1.0.0\njupyter-client==5.2.4\njupyter-console==6.0.0\njupyter-core==4.4.0\njupyterlab==0.35.4\njupyterlab-server==0.2.0\nkiwisolver==1.0.1\nMarkupSafe==1.1.1\nmatplotlib==3.0.3\nmistune==0.8.4\nnbconvert==5.4.1\nnbdime==1.0.5\nnbformat==4.4.0\nnotebook==5.7.8\nnumpy==1.18.4\npandocfilters==1.4.2\nparso==0.3.4\npexpect==4.6.0\npickleshare==0.7.5\nPillow==6.0.0\nprometheus-client==0.6.0\nprompt-toolkit==2.0.9\nptyprocess==0.6.0\nPygments==2.3.1\npyparsing==2.3.1\npyrsistent==0.14.11\npython-dateutil==2.8.0\npyzmq==18.0.1\nqtconsole==4.4.3\nrequests==2.21.0\nscipy==1.2.1\nSend2Trash==1.5.0\nsix==1.12.0\nsmmap2==2.0.5\nterminado==0.8.2\ntestpath==0.4.2\ntornado==6.0.2\ntraitlets==4.3.2\nurllib3==1.24.1\nwcwidth==0.1.7\nwebencodings==0.5.1\nwidgetsnbextension==3.4.2\n"
  },
  {
    "path": "eecs498-007/A4/README.md",
    "content": "<div>\r\n  <h2 align=\"center\"><a href=\"https://web.eecs.umich.edu/~justincj/teaching/eecs498/\">EECS 498-007 / 598-005: Deep Learning for Computer Vision</a></h2>\r\n  <h2 align=\"center\"><a href=\"https://web.eecs.umich.edu/~justincj/teaching/eecs498/FA2020/assignment4.html\">Assignment 4 (2020)</a></h3>\r\n</div>\r\n\r\n# Goals\r\n\r\nFrom this assignment forward, you will use autograd in PyTorch to perform backpropgation for you. This will enable you to easily build complex models without worrying about writing code for the backward pass by hand.\r\n\r\nThe goals of this assignment are:\r\n\r\n- Understand how autograd can help automate gradient computation.\r\n- See how to use PyTorch Modules to build up complex neural network architectures.\r\n- Understand and implement recurrent neural networks.\r\n- See how recurrent neural networks can be used for image captioning.\r\n- Understand how to augment recurrent neural networks with attention.\r\n- Use image gradients to synthesize saliency maps, adversarial examples, and perform class visualizations.\r\n- Combine content and style losses to perform artistic style transfer.\r\n\r\n# Questions\r\n\r\n## Q1: PyTorch Autograd\r\n\r\nThe notebook [``pytorch_autograd_and_nn.ipynb``](pytorch_autograd_and_nn.ipynb) will introduce you to the different levels of abstraction that PyTorch provides for building neural network models. You will use this knowledge to implement and train Residual Networks for image classification.\r\n\r\n## Q2: Image Captioning with Recurrent Neural Networks\r\n\r\nThe notebook [``rnn_lstm_attention_captioning.ipynb``](rnn_lstm_attention_captioning.ipynb) will walk you through the implementation of vanilla recurrent neural networks (RNN) and Long Short Term Memory (LSTM) RNNs. You will use these networks to train an image captioning model. You will then augment your implementation to perform spatial attention over image regions while generating captions.\r\n\r\n## Q3: Network Visualization\r\n\r\nThe notebook [``network_visualization.ipynb``](network_visualization.ipynb) will walk you through the use of image gradients for generating saliency maps, adversarial examples, and class visualizations.\r\n\r\n## Q4: Style Transfer\r\n\r\nIn the notebook [``style_transfer.ipynb``](style_transfer.ipynb), you will learn how to create images with the artistic style of one image and the content of another image.\r\n"
  },
  {
    "path": "eecs498-007/A4/a4_helper.py",
    "content": "import os\nimport pickle\nimport torch\nimport torch.nn as nn\nimport torch.nn.functional as F\nimport torch.optim as optim\nfrom torch.utils.data import DataLoader\nfrom torch.utils.data import sampler\nfrom collections import OrderedDict\nimport torchvision.datasets as dset\nimport torchvision.transforms as T\n\nimport random\nimport numpy as np\nfrom scipy.ndimage.filters import gaussian_filter1d\n\nSQUEEZENET_MEAN = torch.tensor([0.485, 0.456, 0.406], dtype=torch.float)\nSQUEEZENET_STD = torch.tensor([0.229, 0.224, 0.225], dtype=torch.float)\n\n### Helper Functions\n'''\nOur pretrained model was trained on images that had been preprocessed by subtracting \nthe per-color mean and dividing by the per-color standard deviation. We define a few helper \nfunctions for performing and undoing this preprocessing.\n'''\ndef preprocess(img, size=224):\n  transform = T.Compose([\n    T.Resize(size),\n    T.ToTensor(),\n    T.Normalize(mean=SQUEEZENET_MEAN.tolist(),\n          std=SQUEEZENET_STD.tolist()),\n    T.Lambda(lambda x: x[None]),\n  ])\n  return transform(img)\n\ndef deprocess(img, should_rescale=True):\n  # should_rescale true for style transfer\n  transform = T.Compose([\n    T.Lambda(lambda x: x[0]),\n    T.Normalize(mean=[0, 0, 0], std=(1.0 / SQUEEZENET_STD).tolist()),\n    T.Normalize(mean=(-SQUEEZENET_MEAN).tolist(), std=[1, 1, 1]),\n    T.Lambda(rescale) if should_rescale else T.Lambda(lambda x: x),\n    T.ToPILImage(),\n  ])\n  return transform(img)\n\n# def deprocess(img):\n#     transform = T.Compose([\n#         T.Lambda(lambda x: x[0]),\n#         T.Normalize(mean=[0, 0, 0], std=[1.0 / s for s in SQUEEZENET_STD.tolist()]),\n#         T.Normalize(mean=[-m for m in SQUEEZENET_MEAN.tolist()], std=[1, 1, 1]),\n#         T.Lambda(rescale),\n#         T.ToPILImage(),\n#     ])\n#     return transform(img)\n\ndef rescale(x):\n  low, high = x.min(), x.max()\n  x_rescaled = (x - low) / (high - low)\n  return x_rescaled\n  \ndef blur_image(X, sigma=1):\n  X_np = X.cpu().clone().numpy()\n  X_np = gaussian_filter1d(X_np, sigma, axis=2)\n  X_np = gaussian_filter1d(X_np, sigma, axis=3)\n  X.copy_(torch.Tensor(X_np).type_as(X))\n  return X\n\n\n# Older versions of scipy.misc.imresize yield different results\n# from newer versions, so we check to make sure scipy is up to date.\ndef check_scipy():\n    import scipy\n    vnum = int(scipy.__version__.split('.')[1])\n    major_vnum = int(scipy.__version__.split('.')[0])\n    \n    assert vnum >= 16 or major_vnum >= 1, \"You must install SciPy >= 0.16.0 to complete this notebook.\"\n\ndef jitter(X, ox, oy):\n  \"\"\"\n  Helper function to randomly jitter an image.\n  \n  Inputs\n  - X: PyTorch Tensor of shape (N, C, H, W)\n  - ox, oy: Integers giving number of pixels to jitter along W and H axes\n  \n  Returns: A new PyTorch Tensor of shape (N, C, H, W)\n  \"\"\"\n  if ox != 0:\n    left = X[:, :, :, :-ox]\n    right = X[:, :, :, -ox:]\n    X = torch.cat([right, left], dim=3)\n  if oy != 0:\n    top = X[:, :, :-oy]\n    bottom = X[:, :, -oy:]\n    X = torch.cat([bottom, top], dim=2)\n  return X\n\n\ndef load_CIFAR(path='./datasets/'):\n  NUM_TRAIN = 49000\n  # The torchvision.transforms package provides tools for preprocessing data\n  # and for performing data augmentation; here we set up a transform to\n  # preprocess the data by subtracting the mean RGB value and dividing by the\n  # standard deviation of each RGB value; we've hardcoded the mean and std.\n  transform = T.Compose([\n                  T.ToTensor(),\n                  T.Normalize((0.4914, 0.4822, 0.4465), (0.2023, 0.1994, 0.2010))\n              ])\n\n  # We set up a Dataset object for each split (train / val / test); Datasets load\n  # training examples one at a time, so we wrap each Dataset in a DataLoader which\n  # iterates through the Dataset and forms minibatches. We divide the CIFAR-10\n  # training set into train and val sets by passing a Sampler object to the\n  # DataLoader telling how it should sample from the underlying Dataset.\n  cifar10_train = dset.CIFAR10(path, train=True, download=True,\n                               transform=transform)\n  loader_train = DataLoader(cifar10_train, batch_size=64, \n                            sampler=sampler.SubsetRandomSampler(range(NUM_TRAIN)))\n\n  cifar10_val = dset.CIFAR10(path, train=True, download=True,\n                             transform=transform)\n  loader_val = DataLoader(cifar10_val, batch_size=64, \n                          sampler=sampler.SubsetRandomSampler(range(NUM_TRAIN, 50000)))\n\n  cifar10_test = dset.CIFAR10(path, train=False, download=True, \n                              transform=transform)\n  loader_test = DataLoader(cifar10_test, batch_size=64)\n  return loader_train, loader_val, loader_test\n\n\ndef load_imagenet_val(num=None, path='./datasets/imagenet_val_25.npz'):\n  \"\"\"Load a handful of validation images from ImageNet.\n  Inputs:\n  - num: Number of images to load (max of 25)\n  Returns:\n  - X: numpy array with shape [num, 224, 224, 3]\n  - y: numpy array of integer image labels, shape [num]\n  - class_names: dict mapping integer label to class name\n  \"\"\"\n  imagenet_fn = os.path.join(path)\n  if not os.path.isfile(imagenet_fn):\n    print('file %s not found' % imagenet_fn)\n    print('Run the above cell to download the data')\n    assert False, 'Need to download imagenet_val_25.npz'\n  f = np.load(imagenet_fn, allow_pickle=True)\n  X = f['X']\n  y = f['y']\n  class_names = f['label_map'].item()\n  if num is not None:\n    X = X[:num]\n    y = y[:num]\n  return X, y, class_names\n\n\ndef load_COCO(path = './datasets/coco.pt'):\n  '''\n    Download and load serialized COCO data from coco.pt\n    It contains a dictionary of\n    \"train_images\" - resized training images (112x112)\n    \"val_images\" - resized validation images (112x112)\n    \"train_captions\" - tokenized and numericalized training captions\n    \"val_captions\" - tokenized and numericalized validation captions\n    \"vocab\" - caption vocabulary, including \"idx_to_token\" and \"token_to_idx\"\n\n    Returns: a data dictionary\n  '''\n  data_dict = torch.load(path)\n  # print out all the keys and values from the data dictionary\n  for k, v in data_dict.items():\n      if type(v) == torch.Tensor:\n          print(k, type(v), v.shape, v.dtype)\n      else:\n          print(k, type(v), v.keys())\n\n  num_train = data_dict['train_images'].size(0)\n  num_val = data_dict['val_images'].size(0)\n  assert data_dict['train_images'].size(0) == data_dict['train_captions'].size(0) and \\\n        data_dict['val_images'].size(0) == data_dict['val_captions'].size(0), \\\n        'shapes of data mismatch!'\n\n  print('\\nTrain images shape: ', data_dict['train_images'].shape)\n  print('Train caption tokens shape: ', data_dict['train_captions'].shape)\n  print('Validation images shape: ', data_dict['val_images'].shape)\n  print('Validation caption tokens shape: ', data_dict['val_captions'].shape)\n  print('total number of caption tokens: ', len(data_dict['vocab']['idx_to_token']))\n  print('mappings (list) from index to caption token: ', data_dict['vocab']['idx_to_token'])\n  print('mappings (dict) from caption token to index: ', data_dict['vocab']['token_to_idx'])\n\n\n  return data_dict\n\n\n## Dump files for submission\ndef dump_results(submission, path):\n  '''\n  Dumps a dictionary as a .pkl file for autograder \n    results: a dictionary \n    path: path for saving the dict object \n  '''\n  # del submission['rnn_model']\n  # del submission['lstm_model']\n  # del submission['attn_model']\n  with open(path, \"wb\") as f:\n    pickle.dump(submission, f)\n\n\n\n\n\n\n\n\n\n"
  },
  {
    "path": "eecs498-007/A4/eecs598/__init__.py",
    "content": "from . import data, grad, submit\nfrom .solver import Solver\nfrom .utils import reset_seed\nfrom .vis import tensor_to_image, visualize_dataset\n"
  },
  {
    "path": "eecs498-007/A4/eecs598/data.py",
    "content": "import os\nimport random\n\nimport matplotlib.pyplot as plt\nimport torch\nimport torchvision\nfrom torchvision.datasets import CIFAR10\n\nimport eecs598\n\n\ndef _extract_tensors(dset, num=None, x_dtype=torch.float32):\n    \"\"\"\n    Extract the data and labels from a CIFAR10 dataset object and convert them to\n    tensors.\n\n    Input:\n    - dset: A torchvision.datasets.CIFAR10 object\n    - num: Optional. If provided, the number of samples to keep.\n    - x_dtype: Optional. data type of the input image\n\n    Returns:\n    - x: `x_dtype` tensor of shape (N, 3, 32, 32)\n    - y: int64 tensor of shape (N,)\n    \"\"\"\n    x = torch.tensor(dset.data, dtype=x_dtype).permute(0, 3, 1, 2).div_(255)\n    y = torch.tensor(dset.targets, dtype=torch.int64)\n    if num is not None:\n        if num <= 0 or num > x.shape[0]:\n            raise ValueError(\n                \"Invalid value num=%d; must be in the range [0, %d]\" % (num, x.shape[0])\n            )\n        x = x[:num].clone()\n        y = y[:num].clone()\n    return x, y\n\n\ndef cifar10(num_train=None, num_test=None, x_dtype=torch.float32):\n    \"\"\"\n    Return the CIFAR10 dataset, automatically downloading it if necessary.\n    This function can also subsample the dataset.\n\n    Inputs:\n    - num_train: [Optional] How many samples to keep from the training set.\n      If not provided, then keep the entire training set.\n    - num_test: [Optional] How many samples to keep from the test set.\n      If not provided, then keep the entire test set.\n    - x_dtype: [Optional] Data type of the input image\n\n    Returns:\n    - x_train: `x_dtype` tensor of shape (num_train, 3, 32, 32)\n    - y_train: int64 tensor of shape (num_train, 3, 32, 32)\n    - x_test: `x_dtype` tensor of shape (num_test, 3, 32, 32)\n    - y_test: int64 tensor of shape (num_test, 3, 32, 32)\n    \"\"\"\n    download = not os.path.isdir(\"cifar-10-batches-py\")\n    dset_train = CIFAR10(root=\".\", download=download, train=True)\n    dset_test = CIFAR10(root=\".\", train=False)\n    x_train, y_train = _extract_tensors(dset_train, num_train, x_dtype)\n    x_test, y_test = _extract_tensors(dset_test, num_test, x_dtype)\n\n    return x_train, y_train, x_test, y_test\n\n\ndef preprocess_cifar10(\n    cuda=True,\n    show_examples=True,\n    bias_trick=False,\n    flatten=True,\n    validation_ratio=0.2,\n    dtype=torch.float32,\n):\n    \"\"\"\n    Returns a preprocessed version of the CIFAR10 dataset, automatically\n    downloading if necessary. We perform the following steps:\n\n    (0) [Optional] Visualize some images from the dataset\n    (1) Normalize the data by subtracting the mean\n    (2) Reshape each image of shape (3, 32, 32) into a vector of shape (3072,)\n    (3) [Optional] Bias trick: add an extra dimension of ones to the data\n    (4) Carve out a validation set from the training set\n\n    Inputs:\n    - cuda: If true, move the entire dataset to the GPU\n    - validation_ratio: Float in the range (0, 1) giving the fraction of the train\n      set to reserve for validation\n    - bias_trick: Boolean telling whether or not to apply the bias trick\n    - show_examples: Boolean telling whether or not to visualize data samples\n    - dtype: Optional, data type of the input image X\n\n    Returns a dictionary with the following keys:\n    - 'X_train': `dtype` tensor of shape (N_train, D) giving training images\n    - 'X_val': `dtype` tensor of shape (N_val, D) giving val images\n    - 'X_test': `dtype` tensor of shape (N_test, D) giving test images\n    - 'y_train': int64 tensor of shape (N_train,) giving training labels\n    - 'y_val': int64 tensor of shape (N_val,) giving val labels\n    - 'y_test': int64 tensor of shape (N_test,) giving test labels\n\n    N_train, N_val, and N_test are the number of examples in the train, val, and\n    test sets respectively. The precise values of N_train and N_val are determined\n    by the input parameter validation_ratio. D is the dimension of the image data;\n    if bias_trick is False, then D = 32 * 32 * 3 = 3072;\n    if bias_trick is True then D = 1 + 32 * 32 * 3 = 3073.\n    \"\"\"\n    X_train, y_train, X_test, y_test = cifar10(x_dtype=dtype)\n\n    # Move data to the GPU\n    if cuda:\n        X_train = X_train.cuda()\n        y_train = y_train.cuda()\n        X_test = X_test.cuda()\n        y_test = y_test.cuda()\n\n    # 0. Visualize some examples from the dataset.\n    if show_examples:\n        classes = [\n            \"plane\",\n            \"car\",\n            \"bird\",\n            \"cat\",\n            \"deer\",\n            \"dog\",\n            \"frog\",\n            \"horse\",\n            \"ship\",\n            \"truck\",\n        ]\n        samples_per_class = 12\n        samples = []\n        eecs598.reset_seed(0)\n        for y, cls in enumerate(classes):\n            plt.text(-4, 34 * y + 18, cls, ha=\"right\")\n            (idxs,) = (y_train == y).nonzero(as_tuple=True)\n            for i in range(samples_per_class):\n                idx = idxs[random.randrange(idxs.shape[0])].item()\n                samples.append(X_train[idx])\n        img = torchvision.utils.make_grid(samples, nrow=samples_per_class)\n        plt.imshow(eecs598.tensor_to_image(img))\n        plt.axis(\"off\")\n        plt.show()\n\n    # 1. Normalize the data: subtract the mean RGB (zero mean)\n    mean_image = X_train.mean(dim=(0, 2, 3), keepdim=True)\n    X_train -= mean_image\n    X_test -= mean_image\n\n    # 2. Reshape the image data into rows\n    if flatten:\n      X_train = X_train.reshape(X_train.shape[0], -1)\n      X_test = X_test.reshape(X_test.shape[0], -1)\n\n    # 3. Add bias dimension and transform into columns\n    if bias_trick:\n        ones_train = torch.ones(X_train.shape[0], 1, device=X_train.device)\n        X_train = torch.cat([X_train, ones_train], dim=1)\n        ones_test = torch.ones(X_test.shape[0], 1, device=X_test.device)\n        X_test = torch.cat([X_test, ones_test], dim=1)\n\n    # 4. take the validation set from the training set\n    # Note: It should not be taken from the test set\n    # For random permumation, you can use torch.randperm or torch.randint\n    # But, for this homework, we use slicing instead.\n    num_training = int(X_train.shape[0] * (1.0 - validation_ratio))\n    num_validation = X_train.shape[0] - num_training\n\n    # return the dataset\n    data_dict = {}\n    data_dict[\"X_val\"] = X_train[num_training : num_training + num_validation]\n    data_dict[\"y_val\"] = y_train[num_training : num_training + num_validation]\n    data_dict[\"X_train\"] = X_train[0:num_training]\n    data_dict[\"y_train\"] = y_train[0:num_training]\n\n    data_dict[\"X_test\"] = X_test\n    data_dict[\"y_test\"] = y_test\n    return data_dict\n"
  },
  {
    "path": "eecs498-007/A4/eecs598/grad.py",
    "content": "import random\n\nimport torch\n\nimport eecs598\n\n\"\"\" Utilities for computing and checking gradients. \"\"\"\n\n\ndef grad_check_sparse(f, x, analytic_grad, num_checks=10, h=1e-7):\n    \"\"\"\n    Utility function to perform numeric gradient checking. We use the centered\n    difference formula to compute a numeric derivative:\n\n    f'(x) =~ (f(x + h) - f(x - h)) / (2h)\n\n    Rather than computing a full numeric gradient, we sparsely sample a few\n    dimensions along which to compute numeric derivatives.\n\n    Inputs:\n    - f: A function that inputs a torch tensor and returns a torch scalar\n    - x: A torch tensor of the point at which to evaluate the numeric gradient\n    - analytic_grad: A torch tensor giving the analytic gradient of f at x\n    - num_checks: The number of dimensions along which to check\n    - h: Step size for computing numeric derivatives\n    \"\"\"\n    # fix random seed to 0\n    eecs598.reset_seed(0)\n    for i in range(num_checks):\n\n        ix = tuple([random.randrange(m) for m in x.shape])\n\n        oldval = x[ix].item()\n        x[ix] = oldval + h  # increment by h\n        fxph = f(x).item()  # evaluate f(x + h)\n        x[ix] = oldval - h  # increment by h\n        fxmh = f(x).item()  # evaluate f(x - h)\n        x[ix] = oldval  # reset\n\n        grad_numerical = (fxph - fxmh) / (2 * h)\n        grad_analytic = analytic_grad[ix]\n        rel_error_top = abs(grad_numerical - grad_analytic)\n        rel_error_bot = abs(grad_numerical) + abs(grad_analytic) + 1e-12\n        rel_error = rel_error_top / rel_error_bot\n        msg = \"numerical: %f analytic: %f, relative error: %e\"\n        print(msg % (grad_numerical, grad_analytic, rel_error))\n\n\ndef compute_numeric_gradient(f, x, dLdf=None, h=1e-7):\n    \"\"\"\n    Compute the numeric gradient of f at x using a finite differences\n    approximation. We use the centered difference:\n\n    df    f(x + h) - f(x - h)\n    -- ~= -------------------\n    dx           2 * h\n\n    Function can also expand this easily to intermediate layers using the\n    chain rule:\n\n    dL   df   dL\n    -- = -- * --\n    dx   dx   df\n\n    Inputs:\n    - f: A function that inputs a torch tensor and returns a torch scalar\n    - x: A torch tensor giving the point at which to compute the gradient\n    - dLdf: optional upstream gradient for intermediate layers\n    - h: epsilon used in the finite difference calculation\n    Returns:\n    - grad: A tensor of the same shape as x giving the gradient of f at x\n    \"\"\"\n    flat_x = x.contiguous().flatten()\n    grad = torch.zeros_like(x)\n    flat_grad = grad.flatten()\n\n    # Initialize upstream gradient to be ones if not provide\n    if dLdf is None:\n        y = f(x)\n        dLdf = torch.ones_like(y)\n    dLdf = dLdf.flatten()\n\n    # iterate over all indexes in x\n    for i in range(flat_x.shape[0]):\n        oldval = flat_x[i].item()  # Store the original value\n        flat_x[i] = oldval + h  # Increment by h\n        fxph = f(x).flatten()  # Evaluate f(x + h)\n        flat_x[i] = oldval - h  # Decrement by h\n        fxmh = f(x).flatten()  # Evaluate f(x - h)\n        flat_x[i] = oldval  # Restore original value\n\n        # compute the partial derivative with centered formula\n        dfdxi = (fxph - fxmh) / (2 * h)\n\n        # use chain rule to compute dLdx\n        flat_grad[i] = dLdf.dot(dfdxi).item()\n\n    # Note that since flat_grad was only a reference to grad,\n    # we can just return the object in the shape of x by returning grad\n    return grad\n\n\ndef rel_error(x, y, eps=1e-10):\n    \"\"\"\n    Compute the relative error between a pair of tensors x and y,\n    which is defined as:\n\n                            max_i |x_i - y_i]|\n    rel_error(x, y) = -------------------------------\n                      max_i |x_i| + max_i |y_i| + eps\n\n    Inputs:\n    - x, y: Tensors of the same shape\n    - eps: Small positive constant for numeric stability\n\n    Returns:\n    - rel_error: Scalar giving the relative error between x and y\n    \"\"\"\n    \"\"\" returns relative error between x and y \"\"\"\n    top = (x - y).abs().max().item()\n    bot = (x.abs() + y.abs()).clamp(min=eps).max().item()\n    return top / bot\n"
  },
  {
    "path": "eecs498-007/A4/eecs598/solver.py",
    "content": "import pickle\nimport time\n\nimport torch\n\n\nclass Solver(object):\n    \"\"\"\n    A Solver encapsulates all the logic necessary for training classification\n    models. The Solver performs stochastic gradient descent using different\n    update rules.\n    The solver accepts both training and validation data and labels so it can\n    periodically check classification accuracy on both training and validation\n    data to watch out for overfitting.\n    To train a model, you will first construct a Solver instance, passing the\n    model, dataset, and various options (learning rate, batch size, etc) to the\n    constructor. You will then call the train() method to run the optimization\n    procedure and train the model.\n    After the train() method returns, model.params will contain the parameters\n    that performed best on the validation set over the course of training.\n    In addition, the instance variable solver.loss_history will contain a list\n    of all losses encountered during training and the instance variables\n    solver.train_acc_history and solver.val_acc_history will be lists of the\n    accuracies of the model on the training and validation set at each epoch.\n    Example usage might look something like this:\n    data = {\n      'X_train': # training data\n      'y_train': # training labels\n      'X_val': # validation data\n      'y_val': # validation labels\n    }\n    model = MyAwesomeModel(hidden_size=100, reg=10)\n    solver = Solver(model, data,\n            update_rule=sgd,\n            optim_config={\n              'learning_rate': 1e-3,\n            },\n            lr_decay=0.95,\n            num_epochs=10, batch_size=100,\n            print_every=100,\n            device='cuda')\n    solver.train()\n    A Solver works on a model object that must conform to the following API:\n    - model.params must be a dictionary mapping string parameter names to numpy\n      arrays containing parameter values.\n    - model.loss(X, y) must be a function that computes training-time loss and\n      gradients, and test-time classification scores, with the following inputs\n      and outputs:\n      Inputs:\n      - X: Array giving a minibatch of input data of shape (N, d_1, ..., d_k)\n      - y: Array of labels, of shape (N,) giving labels for X where y[i] is the\n      label for X[i].\n      Returns:\n      If y is None, run a test-time forward pass and return:\n      - scores: Array of shape (N, C) giving classification scores for X where\n      scores[i, c] gives the score of class c for X[i].\n      If y is not None, run a training time forward and backward pass and\n      return a tuple of:\n      - loss: Scalar giving the loss\n      - grads: Dictionary with the same keys as self.params mapping parameter\n      names to gradients of the loss with respect to those parameters.\n      - device: device to use for computation. 'cpu' or 'cuda'\n    \"\"\"\n\n    def __init__(self, model, data, **kwargs):\n        \"\"\"\n        Construct a new Solver instance.\n        Required arguments:\n        - model: A model object conforming to the API described above\n        - data: A dictionary of training and validation data containing:\n          'X_train': Array, shape (N_train, d_1, ..., d_k) of training images\n          'X_val': Array, shape (N_val, d_1, ..., d_k) of validation images\n          'y_train': Array, shape (N_train,) of labels for training images\n          'y_val': Array, shape (N_val,) of labels for validation images\n        Optional arguments:\n        - update_rule: A function of an update rule. Default is sgd.\n        - optim_config: A dictionary containing hyperparameters that will be\n          passed to the chosen update rule. Each update rule requires different\n          hyperparameters but all update rules require a\n          'learning_rate' parameter so that should always be present.\n        - lr_decay: A scalar for learning rate decay; after each epoch the\n          learning rate is multiplied by this value.\n        - batch_size: Size of minibatches used to compute loss and gradient\n          during training.\n        - num_epochs: The number of epochs to run for during training.\n        - print_every: Integer; training losses will be printed every\n          print_every iterations.\n        - print_acc_every: We will print the accuracy every print_acc_every epochs.\n        - verbose: Boolean; if set to false then no output will be printed\n          during training.\n        - num_train_samples: Number of training samples used to check training\n          accuracy; default is 1000; set to None to use entire training set.\n        - num_val_samples: Number of validation samples to use to check val\n          accuracy; default is None, which uses the entire validation set.\n        - checkpoint_name: If not None, then save model checkpoints here every\n          epoch.\n        \"\"\"\n        self.model = model\n        self.X_train = data[\"X_train\"]\n        self.y_train = data[\"y_train\"]\n        self.X_val = data[\"X_val\"]\n        self.y_val = data[\"y_val\"]\n\n        # Unpack keyword arguments\n        self.update_rule = kwargs.pop(\"update_rule\", self.sgd)\n        self.optim_config = kwargs.pop(\"optim_config\", {})\n        self.lr_decay = kwargs.pop(\"lr_decay\", 1.0)\n        self.batch_size = kwargs.pop(\"batch_size\", 100)\n        self.num_epochs = kwargs.pop(\"num_epochs\", 10)\n        self.num_train_samples = kwargs.pop(\"num_train_samples\", 1000)\n        self.num_val_samples = kwargs.pop(\"num_val_samples\", None)\n\n        self.device = kwargs.pop(\"device\", \"cpu\")\n\n        self.checkpoint_name = kwargs.pop(\"checkpoint_name\", None)\n        self.print_every = kwargs.pop(\"print_every\", 10)\n        self.print_acc_every = kwargs.pop(\"print_acc_every\", 1)\n        self.verbose = kwargs.pop(\"verbose\", True)\n\n        # Throw an error if there are extra keyword arguments\n        if len(kwargs) > 0:\n            extra = \", \".join('\"%s\"' % k for k in list(kwargs.keys()))\n            raise ValueError(\"Unrecognized arguments %s\" % extra)\n\n        self._reset()\n\n    def _reset(self):\n        \"\"\"\n        Set up some book-keeping variables for optimization. Don't call this\n        manually.\n        \"\"\"\n        # Set up some variables for book-keeping\n        self.epoch = 0\n        self.best_val_acc = 0\n        self.best_params = {}\n        self.loss_history = []\n        self.train_acc_history = []\n        self.val_acc_history = []\n\n        # Make a deep copy of the optim_config for each parameter\n        self.optim_configs = {}\n        for p in self.model.params:\n            d = {k: v for k, v in self.optim_config.items()}\n            self.optim_configs[p] = d\n\n    def _step(self):\n        \"\"\"\n        Make a single gradient update. This is called by train() and should not\n        be called manually.\n        \"\"\"\n        # Make a minibatch of training data\n        num_train = self.X_train.shape[0]\n        batch_mask = torch.randperm(num_train)[: self.batch_size]\n        X_batch = self.X_train[batch_mask].to(self.device)\n        y_batch = self.y_train[batch_mask].to(self.device)\n\n        # Compute loss and gradient\n        loss, grads = self.model.loss(X_batch, y_batch)\n        self.loss_history.append(loss.item())\n\n        # Perform a parameter update\n        with torch.no_grad():\n            for p, w in self.model.params.items():\n                dw = grads[p]\n                config = self.optim_configs[p]\n                next_w, next_config = self.update_rule(w, dw, config)\n                self.model.params[p] = next_w\n                self.optim_configs[p] = next_config\n\n    def _save_checkpoint(self):\n        if self.checkpoint_name is None:\n            return\n        checkpoint = {\n            \"model\": self.model,\n            \"update_rule\": self.update_rule,\n            \"lr_decay\": self.lr_decay,\n            \"optim_config\": self.optim_config,\n            \"batch_size\": self.batch_size,\n            \"num_train_samples\": self.num_train_samples,\n            \"num_val_samples\": self.num_val_samples,\n            \"epoch\": self.epoch,\n            \"loss_history\": self.loss_history,\n            \"train_acc_history\": self.train_acc_history,\n            \"val_acc_history\": self.val_acc_history,\n        }\n        filename = \"%s_epoch_%d.pkl\" % (self.checkpoint_name, self.epoch)\n        if self.verbose:\n            print('Saving checkpoint to \"%s\"' % filename)\n        with open(filename, \"wb\") as f:\n            pickle.dump(checkpoint, f)\n\n    @staticmethod\n    def sgd(w, dw, config=None):\n        \"\"\"\n        Performs vanilla stochastic gradient descent.\n        config format:\n        - learning_rate: Scalar learning rate.\n        \"\"\"\n        if config is None:\n            config = {}\n        config.setdefault(\"learning_rate\", 1e-2)\n\n        w -= config[\"learning_rate\"] * dw\n        return w, config\n\n    def check_accuracy(self, X, y, num_samples=None, batch_size=100):\n        \"\"\"\n        Check accuracy of the model on the provided data.\n        Inputs:\n        - X: Array of data, of shape (N, d_1, ..., d_k)\n        - y: Array of labels, of shape (N,)\n        - num_samples: If not None, subsample the data and only test the model\n          on num_samples datapoints.\n        - batch_size: Split X and y into batches of this size to avoid using\n          too much memory.\n        Returns:\n        - acc: Scalar giving the fraction of instances that were correctly\n          classified by the model.\n        \"\"\"\n\n        # Maybe subsample the data\n        N = X.shape[0]\n        if num_samples is not None and N > num_samples:\n            mask = torch.randperm(N, device=self.device)[:num_samples]\n            N = num_samples\n            X = X[mask]\n            y = y[mask]\n        X = X.to(self.device)\n        y = y.to(self.device)\n\n        # Compute predictions in batches\n        num_batches = N // batch_size\n        if N % batch_size != 0:\n            num_batches += 1\n        y_pred = []\n        for i in range(num_batches):\n            start = i * batch_size\n            end = (i + 1) * batch_size\n            scores = self.model.loss(X[start:end])\n            y_pred.append(torch.argmax(scores, dim=1))\n\n        y_pred = torch.cat(y_pred)\n        acc = (y_pred == y).to(torch.float).mean()\n\n        return acc.item()\n\n    def train(self, time_limit=None, return_best_params=True):\n        \"\"\"\n        Run optimization to train the model.\n        \"\"\"\n        num_train = self.X_train.shape[0]\n        iterations_per_epoch = max(num_train // self.batch_size, 1)\n        num_iterations = self.num_epochs * iterations_per_epoch\n        prev_time = start_time = time.time()\n\n        for t in range(num_iterations):\n\n            cur_time = time.time()\n            if (time_limit is not None) and (t > 0):\n                next_time = cur_time - prev_time\n                if cur_time - start_time + next_time > time_limit:\n                    print(\n                        \"(Time %.2f sec; Iteration %d / %d) loss: %f\"\n                        % (\n                            cur_time - start_time,\n                            t,\n                            num_iterations,\n                            self.loss_history[-1],\n                        )\n                    )\n                    print(\"End of training; next iteration will exceed the time limit.\")\n                    break\n            prev_time = cur_time\n\n            self._step()\n\n            # Maybe print training loss\n            if self.verbose and t % self.print_every == 0:\n                print(\n                    \"(Time %.2f sec; Iteration %d / %d) loss: %f\"\n                    % (\n                        time.time() - start_time,\n                        t + 1,\n                        num_iterations,\n                        self.loss_history[-1],\n                    )\n                )\n\n            # At the end of every epoch, increment the epoch counter and decay\n            # the learning rate.\n            epoch_end = (t + 1) % iterations_per_epoch == 0\n            if epoch_end:\n                self.epoch += 1\n                for k in self.optim_configs:\n                    self.optim_configs[k][\"learning_rate\"] *= self.lr_decay\n\n            # Check train and val accuracy on the first iteration, the last\n            # iteration, and at the end of each epoch.\n            with torch.no_grad():\n                first_it = t == 0\n                last_it = t == num_iterations - 1\n                if first_it or last_it or epoch_end:\n                    train_acc = self.check_accuracy(\n                        self.X_train, self.y_train, num_samples=self.num_train_samples\n                    )\n                    val_acc = self.check_accuracy(\n                        self.X_val, self.y_val, num_samples=self.num_val_samples\n                    )\n                    self.train_acc_history.append(train_acc)\n                    self.val_acc_history.append(val_acc)\n                    self._save_checkpoint()\n\n                    if self.verbose and self.epoch % self.print_acc_every == 0:\n                        print(\n                            \"(Epoch %d / %d) train acc: %f; val_acc: %f\"\n                            % (self.epoch, self.num_epochs, train_acc, val_acc)\n                        )\n\n                    # Keep track of the best model\n                    if val_acc > self.best_val_acc:\n                        self.best_val_acc = val_acc\n                        self.best_params = {}\n                        for k, v in self.model.params.items():\n                            self.best_params[k] = v.clone()\n\n        # At the end of training swap the best params into the model\n        if return_best_params:\n          self.model.params = self.best_params\n"
  },
  {
    "path": "eecs498-007/A4/eecs598/submit.py",
    "content": "import os\nimport zipfile\n\n_A1_FILES = [\n    \"pytorch101.py\",\n    \"pytorch101.ipynb\",\n    \"knn.py\",\n    \"knn.ipynb\",\n]\n\n_A2_FILES = [\n    \"linear_classifier.py\",\n    \"linear_classifier.ipynb\",\n    \"two_layer_net.py\",\n    \"two_layer_net.ipynb\",\n    \"svm_best_model.pt\",\n    \"softmax_best_model.pt\",\n    \"nn_best_model.pt\",\n]\n\n_A3_FILES = [\n    \"fully_connected_networks.py\",\n    \"fully_connected_networks.ipynb\",\n    \"convolutional_networks.py\",\n    \"convolutional_networks.ipynb\",\n    \"best_overfit_five_layer_net.pth\",\n    \"best_two_layer_net.pth\",\n    \"one_minute_deepconvnet.pth\",\n    \"overfit_deepconvnet.pth\", \n]\n\n_A4_FILES = [\n    'network_visualization.py', \n    'network_visualization.ipynb',\n    'style_transfer.py',  \n    'style_transfer.ipynb',\n    'pytorch_autograd_and_nn.py', \n    'pytorch_autograd_and_nn.ipynb', \n    'rnn_lstm_attention_captioning.py',\n    'rnn_lstm_attention_captioning.ipynb',\n    # result files\n    'pytorch_autograd_and_nn.pkl',\n    'rnn_lstm_attention_submission.pkl',\n    'saliency_maps_results.jpg',\n    'adversarial_attacks_results.jpg',\n    'class_viz_result.jpg',\n    'style_transfer_result.jpg',\n    'feature_inversion_result.jpg'\n]\n\ndef make_a1_submission(assignment_path, uniquename=None, umid=None):\n    _make_submission(assignment_path, _A1_FILES, \"A1\", uniquename, umid)\n\n\ndef make_a2_submission(assignment_path, uniquename=None, umid=None):\n    _make_submission(assignment_path, _A2_FILES, \"A2\", uniquename, umid)\n\n\ndef make_a3_submission(assignment_path, uniquename=None, umid=None):\n    _make_submission(assignment_path, _A3_FILES, \"A3\", uniquename, umid)\n\ndef make_a4_submission(assignment_path, uniquename=None, umid=None):\n    _make_submission(assignment_path, _A4_FILES, \"A4\", uniquename, umid)\n\n\ndef _make_submission(\n    assignment_path, file_list, assignment_no, uniquename=None, umid=None\n):\n    if uniquename is None or umid is None:\n        uniquename, umid = _get_user_info()\n    zip_path = \"{}_{}_{}.zip\".format(uniquename, umid, assignment_no)\n    zip_path = os.path.join(assignment_path, zip_path)\n    print(\"Writing zip file to: \", zip_path)\n    with zipfile.ZipFile(zip_path, \"w\") as zf:\n        for filename in file_list:\n            in_path = os.path.join(assignment_path, filename)\n            if not os.path.isfile(in_path):\n                raise ValueError('Could not find file \"%s\"' % filename)\n            zf.write(in_path, filename)\n\n\ndef _get_user_info():\n    if uniquename is None:\n        uniquename = input(\"Enter your uniquename (e.g. justincj): \")\n    if umid is None:\n        umid = input(\"Enter your umid (e.g. 12345678): \")\n    return uniquename, umid\n"
  },
  {
    "path": "eecs498-007/A4/eecs598/utils.py",
    "content": "import torch\nimport random\nfrom torchvision.utils import make_grid\nimport matplotlib.pyplot as plt\nimport cv2\nimport numpy as np\n\n\"\"\"\nGeneral utilities to help with implementation\n\"\"\"\n\ndef reset_seed(number):\n  \"\"\"\n  Reset random seed to the specific number\n\n  Inputs:\n  - number: A seed number to use\n  \"\"\"\n  random.seed(number)\n  torch.manual_seed(number)\n  return\n\ndef tensor_to_image(tensor):\n  \"\"\"\n  Convert a torch tensor into a numpy ndarray for visualization.\n\n  Inputs:\n  - tensor: A torch tensor of shape (3, H, W) with elements in the range [0, 1]\n\n  Returns:\n  - ndarr: A uint8 numpy array of shape (H, W, 3)\n  \"\"\"\n  tensor = tensor.mul(255).add_(0.5).clamp_(0, 255).permute(1, 2, 0)\n  ndarr = tensor.to('cpu', torch.uint8).numpy()\n  return ndarr\n\n\ndef visualize_dataset(X_data, y_data, samples_per_class, class_list):\n  \"\"\"\n  Make a grid-shape image to plot\n\n  Inputs:\n  - X_data: set of [batch, 3, width, height] data\n  - y_data: paired label of X_data in [batch] shape\n  - samples_per_class: number of samples want to present\n  - class_list: list of class names\n    e.g.) ['plane', 'car', 'bird', 'cat', 'deer', 'dog', 'frog', 'horse', 'ship', 'truck']\n\n  Outputs:\n  - An grid-image that visualize samples_per_class number of samples per class\n  \"\"\"\n  img_half_width = X_data.shape[2] // 2\n  samples = []\n  for y, cls in enumerate(class_list):\n    plt.text(-4, (img_half_width * 2 + 2) * y + (img_half_width + 2), cls, ha='right')\n    idxs = (y_data == y).nonzero().view(-1)\n    for i in range(samples_per_class):\n      idx = idxs[random.randrange(idxs.shape[0])].item()\n      samples.append(X_data[idx])\n\n  img = make_grid(samples, nrow=samples_per_class)\n  return tensor_to_image(img)\n\n\ndef decode_captions(captions, idx_to_word):\n    \"\"\"\n    Decoding caption indexes into words.\n    Inputs:\n    - captions: Caption indexes in a tensor of shape (Nx)T.\n    - idx_to_word: Mapping from the vocab index to word.\n\n    Outputs:\n    - decoded: A sentence (or a list of N sentences).\n    \"\"\"\n    singleton = False\n    if captions.ndim == 1:\n        singleton = True\n        captions = captions[None]\n    decoded = []\n    N, T = captions.shape\n    for i in range(N):\n        words = []\n        for t in range(T):\n            word = idx_to_word[captions[i, t]]\n            if word != '<NULL>':\n                words.append(word)\n            if word == '<END>':\n                break\n        decoded.append(' '.join(words))\n    if singleton:\n        decoded = decoded[0]\n    return decoded\n\n\ndef attention_visualizer(img, attn_weights, token):\n  \"\"\"\n  Visuailze the attended regions on a single frame from a single query word.\n  Inputs:\n  - img: Image tensor input, of shape (3, H, W)\n  - attn_weights: Attention weight tensor, on the final activation map\n  - token: The token string you want to display above the image\n\n  Outputs:\n  - img_output: Image tensor output, of shape (3, H+25, W)\n\n  \"\"\"\n  C, H, W = img.shape\n  assert C == 3, 'We only support image with three color channels!'\n\n  # Reshape attention map\n  attn_weights = cv2.resize(attn_weights.data.numpy().copy(),\n                              (H, W), interpolation=cv2.INTER_NEAREST)\n  attn_weights = np.repeat(np.expand_dims(attn_weights, axis=2), 3, axis=2)\n\n  # Combine image and attention map\n  img_copy = img.float().div(255.).permute(1, 2, 0\n    ).numpy()[:, :, ::-1].copy()  # covert to BGR for cv2\n  masked_img = cv2.addWeighted(attn_weights, 0.5, img_copy, 0.5, 0)\n  img_copy = np.concatenate((np.zeros((25, W, 3)),\n    masked_img), axis=0)\n\n  # Add text\n  cv2.putText(img_copy, '%s' % (token), (10, 15),\n              cv2.FONT_HERSHEY_PLAIN, 1.0, (255, 255, 255), thickness=1)\n\n  return img_copy"
  },
  {
    "path": "eecs498-007/A4/eecs598/vis.py",
    "content": "import random\n\nimport matplotlib.pyplot as plt\nimport torch\nfrom torchvision.utils import make_grid\n\n\n\"\"\"\nUtilities to help with visualizing images and other data\n\"\"\"\n\n\ndef tensor_to_image(tensor):\n    \"\"\"\n    Convert a torch tensor into a numpy ndarray for visualization.\n\n    Inputs:\n    - tensor: A torch tensor of shape (3, H, W) with elements in the range [0, 1]\n\n    Returns:\n    - ndarr: A uint8 numpy array of shape (H, W, 3)\n    \"\"\"\n    tensor = tensor.mul(255).add_(0.5).clamp_(0, 255).permute(1, 2, 0)\n    ndarr = tensor.to(\"cpu\", torch.uint8).numpy()\n    return ndarr\n\n\ndef visualize_dataset(X_data, y_data, samples_per_class, class_list):\n    \"\"\"\n    Make a grid-shape image to plot\n\n    Inputs:\n    - X_data: set of [batch, 3, width, height] data\n    - y_data: paired label of X_data in [batch] shape\n    - samples_per_class: number of samples want to present\n    - class_list: list of class names; eg,\n      ['plane', 'car', 'bird', 'cat', 'deer', 'dog', 'frog', 'horse', 'ship', 'truck']\n\n    Outputs:\n    - An grid-image that visualize samples_per_class number of samples per class\n    \"\"\"\n    img_half_width = X_data.shape[2] // 2\n    samples = []\n    for y, cls in enumerate(class_list):\n        tx = -4\n        ty = (img_half_width * 2 + 2) * y + (img_half_width + 2)\n        plt.text(tx, ty, cls, ha=\"right\")\n        idxs = (y_data == y).nonzero().view(-1)\n        for i in range(samples_per_class):\n            idx = idxs[random.randrange(idxs.shape[0])].item()\n            samples.append(X_data[idx])\n\n    img = make_grid(samples, nrow=samples_per_class)\n    return tensor_to_image(img)\n"
  },
  {
    "path": "eecs498-007/A4/network_visualization.ipynb",
    "content": "{\"nbformat\":4,\"nbformat_minor\":0,\"metadata\":{\"accelerator\":\"GPU\",\"colab\":{\"name\":\"network_visualization.ipynb\",\"provenance\":[],\"collapsed_sections\":[]},\"kernelspec\":{\"display_name\":\"Python 3\",\"name\":\"python3\"},\"language_info\":{\"codemirror_mode\":{\"name\":\"ipython\",\"version\":3},\"file_extension\":\".py\",\"mimetype\":\"text/x-python\",\"name\":\"python\",\"nbconvert_exporter\":\"python\",\"pygments_lexer\":\"ipython3\",\"version\":\"3.7.3\"}},\"cells\":[{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"DDJwQPZcupab\"},\"source\":[\"# EECS 498-007/598-005 Assignment 4-3: Network Visualization\\n\",\"\\n\",\"Before we start, please put your name and UMID in following format\\n\",\"\\n\",\": Firstname LASTNAME, #00000000   //   e.g.) Justin JOHNSON, #12345678\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"2KMxqLt1h2kx\"},\"source\":[\"**Your Answer:**   \\n\",\"Soufian BENAMARA, #NOid\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"collapsed\":true,\"id\":\"mU0tSHf82M4D\",\"tags\":[\"pdf-title\"]},\"source\":[\"# Network Visualization\\n\",\"\\n\",\"In this notebook we will explore the use of *image gradients* for generating new images.\\n\",\"\\n\",\"When training a model, we define a loss function which measures our current unhappiness with the model's performance; we then use backpropagation to compute the gradient of the loss with respect to the model parameters, and perform gradient descent on the model parameters to minimize the loss.\\n\",\"\\n\",\"Here we will do something slightly different. We will start from a convolutional neural network model which has been pretrained to perform image classification on the ImageNet dataset. We will use this model to define a loss function which quantifies our current unhappiness with our image, then use backpropagation to compute the gradient of this loss with respect to the pixels of the image. We will then keep the model fixed, and perform gradient descent *on the image* to synthesize a new image which minimizes the loss.\\n\",\"\\n\",\"In this notebook we will explore three techniques for image generation:\\n\",\"\\n\",\"1. **Saliency Maps**: Saliency maps are a quick way to tell which part of the image influenced the classification decision made by the network.\\n\",\"2. **Adversarial Attack**: We can perturb an input image so that it appears the same to humans, but will be misclassified by the pretrained network.\\n\",\"3. **Class Visualization**: We can synthesize an image to maximize the classification score of a particular class; this can give us some sense of what the network is looking for when it classifies images of that class.\\n\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"34wOHak5_2zk\"},\"source\":[\"# Setup Code\\n\",\"Before getting started we need to run some boilerplate code to set up our environment. You'll need to rerun this setup code each time you start the notebook.\\n\",\"\\n\",\"First, run this cell load the [autoreload](https://ipython.readthedocs.io/en/stable/config/extensions/autoreload.html?highlight=autoreload) extension. This allows us to edit `.py` source files, and re-import them into the notebook for a seamless editing and debugging experience.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"G0EjT2fP_8Iy\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1617550353815,\"user_tz\":-60,\"elapsed\":749,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}}},\"source\":[\"%load_ext autoreload\\n\",\"%autoreload 2\"],\"execution_count\":1,\"outputs\":[]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"HCcwwNq2ABEu\"},\"source\":[\"### Google Colab Setup\\n\",\"Next we need to run a few commands to set up our environment on Google Colab. If you are running this notebook on a local machine you can skip this section.\\n\",\"\\n\",\"Run the following cell to mount your Google Drive. Follow the link, sign in to your Google account (the same account you used to store this notebook!) and copy the authorization code into the text box that appears below.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"PbYp2Bf4-VGG\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1617550354190,\"user_tz\":-60,\"elapsed\":1113,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"f54e2112-71af-4055-bcb4-157c4c8837cc\"},\"source\":[\"from google.colab import drive\\n\",\"drive.mount('/content/drive')\"],\"execution_count\":2,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Drive already mounted at /content/drive; to attempt to forcibly remount, call drive.mount(\\\"/content/drive\\\", force_remount=True).\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"8EjW6hQkANqX\"},\"source\":[\"Now recall the path in your Google Drive where you uploaded this notebook, fill it in below. If everything is working correctly then running the folowing cell should print the filenames from the assignment:\\n\",\"\\n\",\"```\\n\",\"['eecs598', 'network_visualization.py', 'style_transfer.py',  'network_visualization.ipynb', 'a4_helper.py', 'pytorch_autograd_and_nn.py', 'pytorch_autograd_and_nn.ipynb', 'style_transfer.ipynb', 'rnn_lstm_attention_captioning.ipynb',  'rnn_lstm_attention_captioning.py']\\n\",\"```\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"oTx4qnMnAPpK\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1617550354191,\"user_tz\":-60,\"elapsed\":1104,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"e29338d5-a5e7-4b76-8ca7-afad6b593896\"},\"source\":[\"import os\\n\",\"\\n\",\"# TODO: Fill in the Google Drive path where you uploaded the assignment\\n\",\"# Example: If you create a 2020FA folder and put all the files under A1 folder, then '2020FA/A1'\\n\",\"GOOGLE_DRIVE_PATH_AFTER_MYDRIVE = '2020FA/A4'\\n\",\"GOOGLE_DRIVE_PATH = os.path.join('drive', 'My Drive', GOOGLE_DRIVE_PATH_AFTER_MYDRIVE)\\n\",\"print(os.listdir(GOOGLE_DRIVE_PATH))\"],\"execution_count\":3,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"['network_visualization.py', 'a4_helper.py', 'style_transfer.ipynb', 'style_transfer.py', 'eecs598', '__pycache__', 'pytorch_autograd_and_nn.py', 'pytorch_autograd_and_nn.pkl', 'pytorch_autograd_and_nn.ipynb', 'rnn_lstm_attention_captioning.py', 'rnn_lstm_attention_submission.pkl', 'rnn_lstm_attention_captioning.ipynb', 'network_visualization.ipynb', 'saliency_maps_results.jpg', 'adversarial_attacks_results.jpg', 'class_viz_result.jpg']\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"fZqKEDc0A9UZ\"},\"source\":[\"Once you have successfully mounted your Google Drive and located the path to this assignment, run th following cell to allow us to import from the `.py` files of this assignment. If it works correctly, it should print the message:\\n\",\"\\n\",\"```\\n\",\"Hello from network_visualization.py!\\n\",\"```\\n\",\"\\n\",\"as well as the last edit time for the file `network_visualization.py`.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"TZSrCDV6BegK\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1617550354771,\"user_tz\":-60,\"elapsed\":1674,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"f8d7d419-3ca2-4fbd-da97-ad03f9585dfe\"},\"source\":[\"import sys\\n\",\"sys.path.append(GOOGLE_DRIVE_PATH)\\n\",\"\\n\",\"import time, os\\n\",\"os.environ[\\\"TZ\\\"] = \\\"US/Eastern\\\"\\n\",\"time.tzset()\\n\",\"\\n\",\"from network_visualization import *\\n\",\"from a4_helper import *\\n\",\"hello()\\n\",\"\\n\",\"py_path = os.path.join(GOOGLE_DRIVE_PATH, 'network_visualization.py')\\n\",\"py_edit_time = time.ctime(os.path.getmtime(py_path))\\n\",\"print('knn.py last edited on %s' % py_edit_time)\"],\"execution_count\":4,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Hello from network_visualization.py!\\n\",\"knn.py last edited on Sun Apr  4 11:32:20 2021\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"7XEsGSj4Pdwy\"},\"source\":[\"Run some setup code for this notebook: Import some useful packages and increase the default figure size.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"inj07qEW2M4G\",\"tags\":[\"pdf-ignore\"],\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1617550354773,\"user_tz\":-60,\"elapsed\":1668,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}}},\"source\":[\"import os\\n\",\"import torch\\n\",\"import torchvision\\n\",\"import random\\n\",\"import numpy as np\\n\",\"import matplotlib.pyplot as plt\\n\",\"from PIL import Image\\n\",\"\\n\",\"%matplotlib inline\\n\",\"plt.rcParams['figure.figsize'] = (10.0, 8.0) # set default size of plots\\n\",\"plt.rcParams['image.interpolation'] = 'nearest'\\n\",\"plt.rcParams['image.cmap'] = 'gray'\"],\"execution_count\":5,\"outputs\":[]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"Ngf-vkPDu-XI\"},\"source\":[\"We will use GPUs to accelerate our computation in this notebook. Run the following to make sure GPUs are enabled:\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"uorkfrB0u_uB\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1617550354774,\"user_tz\":-60,\"elapsed\":1661,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"f56358e7-9faf-447b-d25c-1e6448494147\"},\"source\":[\"if torch.cuda.is_available:\\n\",\"  print('Good to go!')\\n\",\"else:\\n\",\"  print('Please set GPU via Edit -> Notebook Settings.')\"],\"execution_count\":6,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Good to go!\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"ILDAjhi72M4S\"},\"source\":[\"# Pretrained Model\\n\",\"\\n\",\"For all of our image generation experiments, we will start with a convolutional neural network which was pretrained to perform image classification on ImageNet. We can use any model here, but for the purposes of this assignment we will use SqueezeNet [1], which achieves accuracies comparable to AlexNet but with a significantly reduced parameter count and computational complexity.\\n\",\"\\n\",\"Using SqueezeNet rather than AlexNet or VGG or ResNet means that we can easily perform all image generation experiments without heavy computation.\\n\",\"\\n\",\"[1] Iandola et al, \\\"SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and < 0.5MB model size\\\", arXiv 2016\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"rTd2DO5c2M4T\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1617550357755,\"user_tz\":-60,\"elapsed\":4631,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"b7131006-579c-469b-f223-ee358bb73a13\"},\"source\":[\"print('Download and load the pretrained SqueezeNet model.')\\n\",\"model = torchvision.models.squeezenet1_1(pretrained=True).to(device='cuda')\\n\",\"\\n\",\"# We don't want to train the model, so tell PyTorch not to compute gradients\\n\",\"# with respect to model parameters.\\n\",\"for param in model.parameters():\\n\",\"  param.requires_grad = False\\n\",\"    \\n\",\"# Make sure the model is in \\\"eval\\\" mode\\n\",\"model.eval()\\n\",\"\\n\",\"# you may see warning regarding initialization deprecated, that's fine, please continue to next steps\"],\"execution_count\":7,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Download and load the pretrained SqueezeNet model.\\n\"],\"name\":\"stdout\"},{\"output_type\":\"execute_result\",\"data\":{\"text/plain\":[\"SqueezeNet(\\n\",\"  (features): Sequential(\\n\",\"    (0): Conv2d(3, 64, kernel_size=(3, 3), stride=(2, 2))\\n\",\"    (1): ReLU(inplace=True)\\n\",\"    (2): MaxPool2d(kernel_size=3, stride=2, padding=0, dilation=1, ceil_mode=True)\\n\",\"    (3): Fire(\\n\",\"      (squeeze): Conv2d(64, 16, kernel_size=(1, 1), stride=(1, 1))\\n\",\"      (squeeze_activation): ReLU(inplace=True)\\n\",\"      (expand1x1): Conv2d(16, 64, kernel_size=(1, 1), stride=(1, 1))\\n\",\"      (expand1x1_activation): ReLU(inplace=True)\\n\",\"      (expand3x3): Conv2d(16, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\\n\",\"      (expand3x3_activation): ReLU(inplace=True)\\n\",\"    )\\n\",\"    (4): Fire(\\n\",\"      (squeeze): Conv2d(128, 16, kernel_size=(1, 1), stride=(1, 1))\\n\",\"      (squeeze_activation): ReLU(inplace=True)\\n\",\"      (expand1x1): Conv2d(16, 64, kernel_size=(1, 1), stride=(1, 1))\\n\",\"      (expand1x1_activation): ReLU(inplace=True)\\n\",\"      (expand3x3): Conv2d(16, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\\n\",\"      (expand3x3_activation): ReLU(inplace=True)\\n\",\"    )\\n\",\"    (5): MaxPool2d(kernel_size=3, stride=2, padding=0, dilation=1, ceil_mode=True)\\n\",\"    (6): Fire(\\n\",\"      (squeeze): Conv2d(128, 32, kernel_size=(1, 1), stride=(1, 1))\\n\",\"      (squeeze_activation): ReLU(inplace=True)\\n\",\"      (expand1x1): Conv2d(32, 128, kernel_size=(1, 1), stride=(1, 1))\\n\",\"      (expand1x1_activation): ReLU(inplace=True)\\n\",\"      (expand3x3): Conv2d(32, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\\n\",\"      (expand3x3_activation): ReLU(inplace=True)\\n\",\"    )\\n\",\"    (7): Fire(\\n\",\"      (squeeze): Conv2d(256, 32, kernel_size=(1, 1), stride=(1, 1))\\n\",\"      (squeeze_activation): ReLU(inplace=True)\\n\",\"      (expand1x1): Conv2d(32, 128, kernel_size=(1, 1), stride=(1, 1))\\n\",\"      (expand1x1_activation): ReLU(inplace=True)\\n\",\"      (expand3x3): Conv2d(32, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\\n\",\"      (expand3x3_activation): ReLU(inplace=True)\\n\",\"    )\\n\",\"    (8): MaxPool2d(kernel_size=3, stride=2, padding=0, dilation=1, ceil_mode=True)\\n\",\"    (9): Fire(\\n\",\"      (squeeze): Conv2d(256, 48, kernel_size=(1, 1), stride=(1, 1))\\n\",\"      (squeeze_activation): ReLU(inplace=True)\\n\",\"      (expand1x1): Conv2d(48, 192, kernel_size=(1, 1), stride=(1, 1))\\n\",\"      (expand1x1_activation): ReLU(inplace=True)\\n\",\"      (expand3x3): Conv2d(48, 192, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\\n\",\"      (expand3x3_activation): ReLU(inplace=True)\\n\",\"    )\\n\",\"    (10): Fire(\\n\",\"      (squeeze): Conv2d(384, 48, kernel_size=(1, 1), stride=(1, 1))\\n\",\"      (squeeze_activation): ReLU(inplace=True)\\n\",\"      (expand1x1): Conv2d(48, 192, kernel_size=(1, 1), stride=(1, 1))\\n\",\"      (expand1x1_activation): ReLU(inplace=True)\\n\",\"      (expand3x3): Conv2d(48, 192, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\\n\",\"      (expand3x3_activation): ReLU(inplace=True)\\n\",\"    )\\n\",\"    (11): Fire(\\n\",\"      (squeeze): Conv2d(384, 64, kernel_size=(1, 1), stride=(1, 1))\\n\",\"      (squeeze_activation): ReLU(inplace=True)\\n\",\"      (expand1x1): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1))\\n\",\"      (expand1x1_activation): ReLU(inplace=True)\\n\",\"      (expand3x3): Conv2d(64, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\\n\",\"      (expand3x3_activation): ReLU(inplace=True)\\n\",\"    )\\n\",\"    (12): Fire(\\n\",\"      (squeeze): Conv2d(512, 64, kernel_size=(1, 1), stride=(1, 1))\\n\",\"      (squeeze_activation): ReLU(inplace=True)\\n\",\"      (expand1x1): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1))\\n\",\"      (expand1x1_activation): ReLU(inplace=True)\\n\",\"      (expand3x3): Conv2d(64, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\\n\",\"      (expand3x3_activation): ReLU(inplace=True)\\n\",\"    )\\n\",\"  )\\n\",\"  (classifier): Sequential(\\n\",\"    (0): Dropout(p=0.5, inplace=False)\\n\",\"    (1): Conv2d(512, 1000, kernel_size=(1, 1), stride=(1, 1))\\n\",\"    (2): ReLU(inplace=True)\\n\",\"    (3): AdaptiveAvgPool2d(output_size=(1, 1))\\n\",\"  )\\n\",\")\"]},\"metadata\":{\"tags\":[]},\"execution_count\":7}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"1zzn631C2M4Y\",\"tags\":[\"pdf-ignore\"]},\"source\":[\"## Load some ImageNet images\\n\",\"We have provided a few example images from the validation set of the ImageNet ILSVRC 2012 Classification dataset.\\n\",\"\\n\",\"Since they come from the validation set, our pretrained model did not see these images during training.\\n\",\"\\n\",\"Run the following cells to visualize some of these images, along with their ground-truth labels.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"XmiHk1srXY_B\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1617550358120,\"user_tz\":-60,\"elapsed\":4985,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"c14747bd-d906-4236-af67-8f5955d04e0d\"},\"source\":[\"# download imagenet_val\\n\",\"if os.path.isfile('imagenet_val_25.npz'):\\n\",\"  print('ImageNet val images exist')\\n\",\"else:\\n\",\"  print('download ImageNet val images')\\n\",\"  !wget http://web.eecs.umich.edu/~justincj/teaching/eecs498/imagenet_val_25.npz -P ./datasets/\"],\"execution_count\":8,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"download ImageNet val images\\n\",\"--2021-04-04 11:32:34--  http://web.eecs.umich.edu/~justincj/teaching/eecs498/imagenet_val_25.npz\\n\",\"Resolving web.eecs.umich.edu (web.eecs.umich.edu)... 141.212.113.214\\n\",\"Connecting to web.eecs.umich.edu (web.eecs.umich.edu)|141.212.113.214|:80... connected.\\n\",\"HTTP request sent, awaiting response... 200 OK\\n\",\"Length: 3940548 (3.8M)\\n\",\"Saving to: ‘./datasets/imagenet_val_25.npz.1’\\n\",\"\\n\",\"imagenet_val_25.npz 100%[===================>]   3.76M  8.69MB/s    in 0.4s    \\n\",\"\\n\",\"2021-04-04 11:32:35 (8.69 MB/s) - ‘./datasets/imagenet_val_25.npz.1’ saved [3940548/3940548]\\n\",\"\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"d08ggh9B2M4Z\",\"tags\":[\"pdf-ignore\"],\"colab\":{\"base_uri\":\"https://localhost:8080/\",\"height\":168},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1617550358945,\"user_tz\":-60,\"elapsed\":5808,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"94b98b7e-7738-4865-9099-883d6de335a7\"},\"source\":[\"X, y, class_names = load_imagenet_val(num=5, path='./datasets/imagenet_val_25.npz')\\n\",\"\\n\",\"plt.figure(figsize=(12, 6))\\n\",\"for i in range(5):\\n\",\"  plt.subplot(1, 5, i + 1)\\n\",\"  plt.imshow(X[i])\\n\",\"  plt.title(class_names[y[i]])\\n\",\"  plt.axis('off')\\n\",\"plt.gcf().tight_layout()\"],\"execution_count\":9,\"outputs\":[{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 864x432 with 5 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"SX_3nqhM2M4f\"},\"source\":[\"# Saliency Maps\\n\",\"Using this pretrained model, we will compute class saliency maps as described in Section 3.1 of [2].\\n\",\"\\n\",\"A **saliency map** tells us the degree to which each pixel in the image affects the classification score for that image. To compute it, we compute the gradient of the unnormalized score corresponding to the correct class (which is a scalar) with respect to the pixels of the image. If the image has shape `(3, H, W)` then this gradient will also have shape `(3, H, W)`; for each pixel in the image, this gradient tells us the amount by which the classification score will change if the pixel changes by a small amount. To compute the saliency map, we take the absolute value of this gradient, then take the maximum value over the 3 input channels; the final saliency map thus has shape `(H, W)` and all entries are nonnegative.\\n\",\"\\n\",\"Implement the `compute_saliency_maps` funciton and run the following to visualize some class saliency maps on our example images from the ImageNet validation set. You will be submitting the results as part of your submission.\\n\",\"\\n\",\"[2] Karen Simonyan, Andrea Vedaldi, and Andrew Zisserman. \\\"Deep Inside Convolutional Networks: Visualising\\n\",\"Image Classification Models and Saliency Maps\\\", ICLR Workshop 2014.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"pEYpSXBz2M4t\",\"colab\":{\"base_uri\":\"https://localhost:8080/\",\"height\":311},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1617550360125,\"user_tz\":-60,\"elapsed\":6986,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"3629ac1b-ac7d-40c6-99fd-0fc7e5c117f6\"},\"source\":[\"def show_saliency_maps(X, y):\\n\",\"  # Convert X and y from numpy arrays to Torch Tensors\\n\",\"  X_tensor = torch.cat([preprocess(Image.fromarray(x)) for x in X], dim=0).to(device='cuda')\\n\",\"  y_tensor = torch.tensor(y, device='cuda')\\n\",\"\\n\",\"  # YOUR_TURN: Impelement the compute_saliency_maps function\\n\",\"  saliency = compute_saliency_maps(X_tensor, y_tensor, model)\\n\",\"\\n\",\"  # Convert the saliency map from Torch Tensor to numpy array and show images\\n\",\"  # and saliency maps together.\\n\",\"  saliency = saliency.to('cpu').numpy()\\n\",\"  N = X.shape[0]\\n\",\"  for i in range(N):\\n\",\"    plt.subplot(2, N, i + 1)\\n\",\"    plt.imshow(X[i])\\n\",\"    plt.axis('off')\\n\",\"    plt.title(class_names[y[i]])\\n\",\"    plt.subplot(2, N, N + i + 1)\\n\",\"    plt.imshow(saliency[i], cmap=plt.cm.hot)\\n\",\"    plt.axis('off')\\n\",\"    plt.gcf().set_size_inches(12, 5)\\n\",\"  plt.savefig(os.path.join(GOOGLE_DRIVE_PATH,'saliency_maps_results.jpg'))\\n\",\"  plt.show()\\n\",\"\\n\",\"show_saliency_maps(X, y)\"],\"execution_count\":10,\"outputs\":[{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 864x360 with 10 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"Rogq37Rb2M40\"},\"source\":[\"# Adversarial Attack\\n\",\"We can also use image gradients to generate \\\"adversarial attacks\\\" as discussed in [3].\\n\",\"Given an image and a target class, we can perform gradient **ascent** over the image to maximize the target class, stopping when the network classifies the image as the target class. \\n\",\"\\n\",\"Implement the `make_adversarial_attack` function and run the following cell to generate a $\\\\ell_{2}$  adversarial attack. You should ideally see at first glance no major difference between the original and attacked images, and the network should now make an incorrect prediction on the attacked one. However you should see a bit of random noise if you look at the 10x magnified difference between the original and attacked images. Feel free to change the `idx` variable to explore other images.\\n\",\"\\n\",\"[3] Szegedy et al, \\\"Intriguing properties of neural networks\\\", ICLR 2014\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"zDEZa19G2M45\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1617550361459,\"user_tz\":-60,\"elapsed\":8310,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"da425c09-cbb9-448e-878b-27a7ff5ea20f\"},\"source\":[\"idx = 0\\n\",\"target_y = 6\\n\",\"\\n\",\"X_tensor = torch.cat([preprocess(Image.fromarray(x)) for x in X], dim=0).to(device='cuda')\\n\",\"print('Print your progress using the following format: the model is fooled if the target score and max score are the same.')\\n\",\"print('Iteration %d: target score %.3f, max score %.3f\\\\n')\\n\",\"# YOUR_TURN: Impelement the make_adversarial_attack function\\n\",\"X_adv = make_adversarial_attack(X_tensor[idx:idx+1], target_y, model, max_iter=100)\\n\",\"\\n\",\"scores = model(X_adv)\\n\",\"assert target_y == scores.data.max(1)[1][0].item(), 'The model is not fooled!'\"],\"execution_count\":11,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Print your progress using the following format: the model is fooled if the target score and max score are the same.\\n\",\"Iteration %d: target score %.3f, max score %.3f\\n\",\"\\n\",\"Iteration  1: target score 5.214, max score 24.131\\n\",\"Iteration  2: target score 7.481, max score 25.128\\n\",\"Iteration  3: target score 10.227, max score 24.528\\n\",\"Iteration  4: target score 13.150, max score 23.690\\n\",\"Iteration  5: target score 16.394, max score 22.901\\n\",\"Iteration  6: target score 19.378, max score 23.870\\n\",\"Iteration  7: target score 22.441, max score 25.474\\n\",\"Iteration  8: target score 25.368, max score 27.346\\n\",\"Iteration  9: target score 28.075, max score 28.500\\n\",\"Iteration 10: target score 30.775, max score 30.775\\n\",\"\\n\",\"The model is fooled.\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"-tSd5yuf2M48\"},\"source\":[\"After generating an adversarially attacked image, run the following cell to visualize the original image, the attacked image, as well as the difference between them. You will be submitting the results as part of your submission.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"Yfd7jjHb2M49\",\"colab\":{\"base_uri\":\"https://localhost:8080/\",\"height\":192},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1617550361461,\"user_tz\":-60,\"elapsed\":8310,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"8ce113c5-2908-4c1d-dda6-cc2c4b1c8893\"},\"source\":[\"# checkout a4_helper.py for the implementation details of deprocess\\n\",\"from a4_helper import deprocess\\n\",\"\\n\",\"X_adv = X_adv.to('cpu')\\n\",\"X_adv_np = deprocess(X_adv.clone())\\n\",\"X_adv_np = np.asarray(X_adv_np).astype(np.uint8)\\n\",\"\\n\",\"plt.subplot(1, 4, 1)\\n\",\"plt.imshow(X[idx])\\n\",\"plt.title(class_names[y[idx]])\\n\",\"plt.axis('off')\\n\",\"\\n\",\"plt.subplot(1, 4, 2)\\n\",\"plt.imshow(X_adv_np)\\n\",\"plt.title(class_names[target_y])\\n\",\"plt.axis('off')\\n\",\"\\n\",\"plt.subplot(1, 4, 3)\\n\",\"X_pre = preprocess(Image.fromarray(X[idx]))\\n\",\"diff = np.asarray(deprocess(X_adv - X_pre, should_rescale=False))\\n\",\"plt.imshow(diff)\\n\",\"plt.title('Difference')\\n\",\"plt.axis('off')\\n\",\"\\n\",\"plt.subplot(1, 4, 4)\\n\",\"diff = np.asarray(deprocess(10 * (X_adv - X_pre), should_rescale=False))\\n\",\"plt.imshow(diff)\\n\",\"plt.title('Magnified difference (10x)')\\n\",\"plt.axis('off')\\n\",\"\\n\",\"plt.gcf().set_size_inches(12, 5)\\n\",\"plt.savefig(os.path.join(GOOGLE_DRIVE_PATH,'adversarial_attacks_results.jpg'))\\n\",\"plt.show()\"],\"execution_count\":12,\"outputs\":[{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 864x360 with 4 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"oJNRllhg2M5B\"},\"source\":[\"# Class visualization\\n\",\"By starting with a random noise image and performing gradient ascent on a target class, we can generate an image that the network will recognize as the target class. This idea was first presented in [2]; [3] extended this idea by suggesting several regularization techniques that can improve the quality of the generated image.\\n\",\"\\n\",\"Concretely, let $I$ be an image and let $y$ be a target class. Let $s_y(I)$ be the score that a convolutional network assigns to the image $I$ for class $y$; note that these are raw unnormalized scores, not class probabilities. We wish to generate an image $I^*$ that achieves a high score for the class $y$ by solving the problem\\n\",\"\\n\",\"$$\\n\",\"I^* = \\\\arg\\\\max_I (s_y(I) - R(I))\\n\",\"$$\\n\",\"\\n\",\"where $R$ is a (possibly implicit) regularizer (note the sign of $R(I)$ in the argmax: we want to minimize this regularization term). We can solve this optimization problem using gradient ascent, computing gradients with respect to the generated image. We will use (explicit) L2 regularization of the form\\n\",\"\\n\",\"$$\\n\",\"R(I) = \\\\lambda \\\\|I\\\\|_2^2\\n\",\"$$\\n\",\"\\n\",\"**and** implicit regularization as suggested by [3] by periodically blurring the generated image. We can solve this problem using gradient ascent on the generated image.\\n\",\"\\n\",\"[2] Karen Simonyan, Andrea Vedaldi, and Andrew Zisserman. \\\"Deep Inside Convolutional Networks: Visualising\\n\",\"Image Classification Models and Saliency Maps\\\", ICLR Workshop 2014.\\n\",\"\\n\",\"[3] Yosinski et al, \\\"Understanding Neural Networks Through Deep Visualization\\\", ICML 2015 Deep Learning Workshop\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"kFZPnQMGJ-Vl\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1617550361463,\"user_tz\":-60,\"elapsed\":8296,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}}},\"source\":[\"def create_class_visualization(target_y, model, class_names, device='cpu', save_fig=False, **kwargs):\\n\",\"  \\\"\\\"\\\"\\n\",\"  Generate an image to maximize the score of target_y under a pretrained model.\\n\",\"  \\n\",\"  Inputs:\\n\",\"  - target_y: Integer in the range [0, 1000) giving the index of the class\\n\",\"  - model: A pretrained CNN that will be used to generate the image\\n\",\"  - class_names: Dictionary for class names\\n\",\"  - save_fig: saves the final figure for submission\\n\",\"  - device: 'cpu' or 'gpu'\\n\",\"  \\n\",\"  Keyword arguments:\\n\",\"  - num_iterations: How many iterations to use\\n\",\"  - blur_every: How often to blur the image as an implicit regularizer\\n\",\"  - max_jitter: How much to jitter the image as an implicit regularizer\\n\",\"  - show_every: How often to show the intermediate result\\n\",\"  \\\"\\\"\\\"\\n\",\"  num_iterations = kwargs.pop('num_iterations', 100)\\n\",\"  blur_every = kwargs.pop('blur_every', 10)\\n\",\"  max_jitter = kwargs.pop('max_jitter', 16)\\n\",\"  show_every = kwargs.pop('show_every', 25)\\n\",\"\\n\",\"  # Randomly initialize the image as a PyTorch Tensor, and make it requires gradient.\\n\",\"  img = torch.randn((1, 3, 224, 224), device=device).mul_(1.0).requires_grad_()\\n\",\"\\n\",\"  for t in range(num_iterations):\\n\",\"    # Randomly jitter the image a bit; this gives slightly nicer results\\n\",\"    ox, oy = random.randint(0, max_jitter), random.randint(0, max_jitter)\\n\",\"    img.data.copy_(jitter(img.data, ox, oy))\\n\",\"\\n\",\"    # YOUR_TURN: Impelement the create_class_visualization function to perform \\n\",\"    # gradient step\\n\",\"    img = class_visualization_step(img, target_y, model) \\n\",\"    \\n\",\"    # Undo the random jitter\\n\",\"    img.data.copy_(jitter(img.data, -ox, -oy))\\n\",\"    # As regularizer, clamp and periodically blur the image\\n\",\"    for c in range(3):\\n\",\"      lo = float(-SQUEEZENET_MEAN[c] / SQUEEZENET_STD[c])\\n\",\"      hi = float((1.0 - SQUEEZENET_MEAN[c]) / SQUEEZENET_STD[c])\\n\",\"      img.data[:, c].clamp_(min=lo, max=hi)\\n\",\"    if t % blur_every == 0:\\n\",\"      blur_image(img.data, sigma=0.5)\\n\",\"\\n\",\"    # Periodically show the image\\n\",\"    if t == 0 or (t + 1) % show_every == 0 or t == num_iterations - 1:\\n\",\"      plt.imshow(deprocess(img.data.clone().cpu()))\\n\",\"      class_name = class_names[target_y]\\n\",\"      plt.title('%s\\\\nIteration %d / %d' % (class_name, t + 1, num_iterations))\\n\",\"      plt.gcf().set_size_inches(4, 4)\\n\",\"      plt.axis('off')\\n\",\"      if save_fig:\\n\",\"        plt.savefig(os.path.join(GOOGLE_DRIVE_PATH,'class_viz_result.jpg'))\\n\",\"      plt.show()\\n\",\"\\n\",\"  return deprocess(img.data.cpu())\"],\"execution_count\":13,\"outputs\":[]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"hY3W11HfVg5j\"},\"source\":[\"Implement the `class_visualization_step` function for performing gradient step update for class visualization. We are going to use the `create_class_visualization` (above) to generate an image that the network recognizes as the target class.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"D_97sqLp2M5K\",\"colab\":{\"base_uri\":\"https://localhost:8080/\",\"height\":1000},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1617550362865,\"user_tz\":-60,\"elapsed\":9694,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"3a67019b-e15d-4a36-fa93-e176922f2f6c\"},\"source\":[\"target_y = 76 # Tarantula\\n\",\"# target_y = 78 # Tick\\n\",\"# target_y = 187 # Yorkshire Terrier\\n\",\"# target_y = 683 # Oboe\\n\",\"# target_y = 366 # Gorilla\\n\",\"# target_y = 604 # Hourglass\\n\",\"# YOUR_TURN: make sure you have implemented the class_visualization_step function\\n\",\"out = create_class_visualization(target_y, model, class_names, save_fig=True, device='cuda')\"],\"execution_count\":14,\"outputs\":[{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure 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\\n\",\"text/plain\":[\"<Figure 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\\n\",\"text/plain\":[\"<Figure 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\\n\",\"text/plain\":[\"<Figure 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\\n\",\"text/plain\":[\"<Figure size 288x288 with 1 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"qkq8oPEQ2M5N\"},\"source\":[\"Try out your class visualization on other classes! You should also feel free to play with various hyperparameters to try and improve the quality of the generated image, but this is not required.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"RCX-_h4Q2M5O\",\"colab\":{\"base_uri\":\"https://localhost:8080/\",\"height\":1000},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1617550364367,\"user_tz\":-60,\"elapsed\":11193,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"c5422741-9e90-4533-886d-55426b2af37e\"},\"source\":[\"# target_y = 78 # Tick\\n\",\"# target_y = 187 # Yorkshire Terrier\\n\",\"# target_y = 683 # Oboe\\n\",\"# target_y = 366 # Gorilla\\n\",\"# target_y = 604 # Hourglass\\n\",\"target_y = random.randint(0,999) # [0,999]\\n\",\"print(class_names[target_y])\\n\",\"out = create_class_visualization(target_y, model, class_names, save_fig=False, device='cuda')\"],\"execution_count\":15,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"tray\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure 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\\n\",\"text/plain\":[\"<Figure size 288x288 with 1 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xcjrF4G4tqbiOYK1MUmXF2V5CNnhoSGWkeJEhZwpZVuNbVuiRw+iamlguN7hwssh4DurLE7T6tGRNDvxOwcqFZSo6I+qSDaNcR601IZpNCKNEJWHEqWoQnciybWsz1WQv1XAU1dkj/O9nR5jOwIVgll9+fz97t5j40+0j/Om+k3zty7Pc9+E8My+PE54X3Puh6yjnxnjkmcOELiSp086BG3dR7h1EX0oy7C7y4JiPF8YlUi+t0n7vVh4dVwjpSxwwJ4l5r4BsAZurhVI+xTPfm6eua6LJ6cJnWGV4dxMTZ7IEPCYmp1MsRgucfOgcvbftwDFgJToTQlFk8gkdk1EfJpuLvtsPsvtAL/FmLfnpCI8t13FZFd7zsRup9f4mR54c5KGHIyw+paBvtdOoB1GwEF5yo33pEn3aBq1OO5dVEr69O+nX6Tj5L9NMFNXUMwqmpgJDLifhWJCGzUPR2kViNk1DZyO+GMPYlUFtr5KtlknO5TE0CvQ0FCSpjFA7yJdAXxBkqnqKOjuxbBqPvYKs5GkZbmDKzXFhNcm9V9/7xsX5xKe/fX/9yHnu+8gOAr02zk2V+Pyn5+gxttGxrR+pQ0LKrNJwysSVGriqlAwKRslNLVqkdiqEXaWiSoqCEGg1DZRuFwadgYnjYWKZFFlPG+MXzegrVqztzZgrYZobY1h1aU6fWUEpV4mNJ6jp1ChBkBeiuJrMHHt4AlOwynvePch8bI6i087Dx/K0edRYK2n0BhM+o5PySIFnv7VMdCGD3ZCgnFvl/fe1sqm3wkpNSz29REuPGZXRSSplZeJknEy2Ti6Sw6vToKqasC1Pc8MNTk6FOvnaD0IMXK/D5auTHBrk/BxcfmwWSddK2N5PXuuEqoHGUprBHQ5yxQrGyAo2o0RFp6U4Osb2u1xMrsQxtTt49kU48A6Jx57OsXXfftTLEXaYJS5l+5CcOpo70lyuGIjGS+y/SsfBX+pBrUpx4pE4LX2dSMoysl6mkq7RkCTSxRo1dYGedhklU8JnltlzQKB2+Pn2x0cIhUZ57y82sff6AFvuvYa+X+5gaiXN6kU1AxJ8/w8Os1OeYlxJkejZQbZmoESdpx+8yJ981oFmeopLL6wSNlzLP9zxDwQsOT7/hXt4+dtLrNq6aN/WRPpCnbmZAp8//EnmNGfRjYzisss4W3oYPxfGqA/h6u/HmKlgnAhjVquJFqxogwn0K2k8uzeD3kFvdxuJhTDL4Srt23Q4rRIVRYtsTzF6bppwNYzKB4NDeZqNGpq9RsrLZR5/ZASnZoKb9+bYrzHw1BkVE4qO5lY1tkCUkbyTZ0wHkMxL3PwPd5HZ9HG++61l2oSG7isGkWWZzPQMjoaZ4pyGjj09yAtVbPYihlYT9cQEloCZzNIClbKFFslEk9VFLNdAmysjVA0KNTPBQgShlXEG9KSWIzQPtWOUS1gNKqIzy4SWMvRddYjr+65+4+L8zH0fuf/P/rCXHmuFJx+e53BxE8PXuzk0GGI5OIugQEmtI2L20tCpaTUWiFbtKJKaA5UxDMtJRutgDDhwG7XUTGBr9lJdDqO61kZgSOLZy26iRRXX7Ncw8vIog/YCzdvddG5v4pobWzn7chGDrCbglcn5VrF1LyEZtFzjUqMTElJAR3ZRiz5rJRdSY2s1ka2XMRo96Cf1HLBbaQ80MRuPYSv7Geiw8Jm/vMC3H69yyy1mCiYtqrKNFr8XaWATzXubmD8zgc2ixbozQC2WoyMQY/Ov7ORX7zrOVZu72LfXy9ilFEajmYGb3oW0fzcXH5tiaTLHTb0G5HABp9eCz6pi9vwKVYcV1R13Mz4S4mBfg/67bLz8Yghtl57p6SkO3R3k5a/Mc8O7riQyo6P28ikc2yQaexqcCqVQyxJ+XYB6OMtKwUxM1mCTatSLIUxNOrIViXqigVJXmNG1MFNs0FBLKA0bvh4vtVodz6F+Dn/vNHd9uAP9bljIVygpVc49scRWBXTxKk+ES+g/+Db+Km7letVFCnY/y1lB665OdL0WqpWLLB5fZKgjQCSnpkUy4CymKC4qbI5e4LpdIxTmHsN78zAf/+vPYVlchNgkzkCCRjnBbbe8k3B0FIOuC5VBxulMklQ10WaGmaUYhrYASyPj9O9rR20pIWlzzI7MY3Y78Jp1UNSgUhRahgdQOZupLSyxcjnEiyOL7NiR4sXTEZzuVnytDcLJNNGqni2bapTcdjKmLKXwMhHXJsxbt5F2buXhPz/Hic+e4pOf3od1i4TRGkedDrJ6cRazKkDvpmbCYQljI8xqNEGCGJqqDnN+lbC+zh5Tnb0eDz3DQ5TwU5QhvRBnxRahbK/hsOvYXFPQqqvkohFqnmbyKUGjIqMytrG5rxPH8wl23n7rGxfn5Oj5+wd+4Uq++dkJvuF9O+53b6X93HcoxGbI2LpQ6iaMOT3GWAq/1UlpdIFc3cXpo5MMVC6z9649pAN1YotVNBUz061byZ6N47GG2HKrncTz8yy/rLDP1ODmQ01EfQMoosrhp4ssXSrg75VovbGXelud4MUoVQP4hjsoHUtjzRWpaGwsJVJ0GPWop4tYqzL1vIW61UU5oWCLGWnOpJiXBVVLms7iPFpXkaHWJW64s51nzpZ59qkghckM8ReiuAxVtt2xmf7tDob32xk/vUwplqJzdych4eP7X5rk7b8QIOCs4nTryM4Jpi5fYsv7m7jlj9ooNPI0OXw0ViNgkUlVZYwuO6JhYt/tbYw/eor5hTopnQOVY5jxMHT0+rjhZon0UgfNOwfQfuMSlQvf5SPvTTGWOIMcddG8mmL1bI6unSqqoRiPPTRCz/5Bvn00Sdvuq0nO5NBIGa67uYu5Cymu2elFmV3gyJwgai0gHLDfU6V2dBb/9gGqeTN2jYpytkJwwoS7zUYxU2XTQT2D3TKTiTwe2cbItMKV93SzUImykgTLSoXR0yXS7u0cuiMHKHSZ4kRmV1H3aaidP0PwCzmmOgSf+H/fizJ2icL4ZaxdMpGj8/zjv1zm9rdvZufQAG6/lrG5BbJTMRqihMaqIZZNsWvXLtp1sPi1aRp2QXtPK9Y2mHmpQiicwuZLkzg7QT1gonOHoHmbj4WDV3Hc1MzTC1muO+hHnytiLlfQVGuEFYGlZRm/t45cN/DSQg2P0uCOoQr3/NXNPPFMmmd//6/ZozzCgx86h2p+nFs/80lmkjHUUolkTKGaVWjqMNDZ5SB1OcNk1k3W70PbZOOrTy4TmQnTJCvsv7oFTcHChDOD2eYhkmqgr+nIygr69h7kDNgrDZyFIIHWPuLPBkkfPsq1f/Trb1yccZL3P/H0BU6pzbjvvpKWqZdpmz5P3erBpc9ialSolTUk0wqxXAlrm4vpSwp10eCK6yyMnQpjNRVQd29mh8NOTq0mdm6F+35/gMcOL3Lk79Psu3onbnWJR+YeQVJ7OHR9g5jRx8SimRcemqK/tkIyY6at4cAmVMxNBalENLi8aqrqKoVyDjmhY2FWMKQtMODLEYsXkLrsuMoZ/GOThDxbiFod7NCFObOcoPW3rmSqsIlaAwYGLdiVKqVqnRPnljl1sUJmJolOqhAstJCdS7K5PcDYRYXxY4tcfUMbwZdrLKwK1B431foyBl2WpZUIzf5+XA0XxRfD6Jw2ysUyTr+B46eKnHtsks1tRgrbh0hJKlQZQcqkQetycnS0gN3ajGZ1Dp+xTkUu07dPy4J5mEfvl0leGEdXc9BymxrXvl66dznYceMQzz8W4vY7tmIurBKtnOWK6zV898Nf5cpAGzb3LAduNdBYHiEVbsJ0PIUxVKd9dzNLUwWWw3ESisxqUY+mzYjkc7MQahBPS3Rt6cJk7OSr31pgeMhObS4FSQemosAhVdEVTIxczNNx4620DHRQycbJ6bfwF1+3YjfkWOpuJdfUhbdUZNx4kDAKV77zehIPTKCLzFG+PIHZnccw0Mre/hZae81EV2ZRd5nwG02MPXEeS8bIuNpMOiTj1oSx7vSz7xe3UPBrcakEz60UCPSakKIRZrJanp+2ctctXoYqMTQpM7VqinKpTMJko2ZropqdodtUwtc1wMkLKr7xv45hbSpx7xfv4dxMEl1ogk+8T82lb0HS304p+CLulgzlrAb/JicnFyvItQz3/dYuksU648vz3PLbN3HsqAbDzj2ULp1iJL9I80AnsfplNEUoyRJCkvC0SUSTCtVgHrmYo3uLg5FoCy99+TxvP+hg0/ve88bF+Y3DX7w/G6zi62ulMTfHgcXHMBmbWRlxIhk8zKXdmLsdBLx1TINNaIs1Zl6e49D1goWABc3wMMY41CJlKuEQ6umLNDNJe1+diRPQuakTT2cbfr/M4rSD8Ggef2KMDnOcpi4JqRalTbOEzmyg2naA0Lwge3kFU58JnQ8Ulx7nQD+KY5BVk8TjJ6KYTVkMKgM+rxl/q0K6XuK5tBurU8LZOM+ZBhwb+m0O/+EU27XThBMZWq9oY3BQT0t3gETWQS1eIL4k0RAKbYY8dqMKka3gzoTY8bErWE6mcali1GtV8nUZi8eBHK+hLEEmVUZdzREihdLkQteso2t/D9Z4HKeyisou49AXsRlk9EKNuljBYnTh1mTpyBcpVmPUr+ji+byd8cDNFDpb2bTFS95SoNLh4tT5BOefnsIoy7idLRzY6ify8HdZ1hexD9k5M3EN0Xd+BGVLC9G5OWzDHlYyPuZPrECpk1CkRqNqQnKpcSsqfF16akoQt19DQzSjbRmgNl1A71ginRV89DOHGD+WZGW0wM4eHbqdCoZ3bmJxJkPu5fNkzHEY1BKvqOlp341/0MeJ83Fio9P4YynyyQr+mpnwscvkWgKcDXiprYQ4p7gJxUyoWwQrS2VWM2VMZjP15RzOhgZF9lDcuotGVaHFUydcrfPgA1M8fgKaW/1cf2cflcUaF78/ww3DNXbXkwxUCyxdjlFYUiF1aLB7zRjiIbwX5vG5VETnU3gtDXZsduOwOIgen4OJEWxX3sHn5q8kOGkgIBnIqerc8fYyqcnjmOsZNFUDqp4mGokgzz5wia4d+9nfH8QwVcR0vEY1ISNb1GT7VCwmUjSlVLRqbEhyCZ2pgq5JRywsU8/W8LY5KVn9fOXwPF2tJey7G+y58d1vXJxPP/vU/bm8lVpdwzBnOeSZIVR1Mz6npe3OAS7ErPQf7ODFj/4FFZeBfNxE/yYLbS0G6jkj7R0Onvn8NN4rB5F0oKWMzm5iJSt46rtVWlxFAv4U0ZUIb/9v/Ww56ObFl5eYm8rRtbsby2qNRkkQaRpgQurhxT9+kjs2y2g6PCSyeSLnrKhSCs12Bcd1LVxxZx+ZQp58w4JKTmJx5Th5uohryEOPL4cymSJs60QTMRB+JsnvfqTMciqFt9+O01YmVmyQ0YK2nsMdcGHSVTGLGsl0kmWNiXxkieEdFs6f0kKtSEWnxdZipbySJ7dSQVPUojTqLOa1XFhtcM+7tEycHcO1u5OY7OX9O2eQ4znMoRr+Vi/BqhPJCz3Xu9GmDKQLkGr3MxqrU7e1o9VbaPbJDDTlabVHKUciFNQyWtnG+KUS2bwR6+pFhhPnUW3bTTlVxaoxMntmlIXFaWxmCZ3JQCBRpvvmTnzvGiAv8uDOY7HmiSQ15PN56iYLs3MVmhwtnHk2SLVhQ7HkaPF0kBtLE4mq6LaakLUGVidSiIJMoyWAxtmLEgXfXIRKo4DWZcXsUiEGTXRzkfmlEO1OO5tKIfbb43T+wg4qewY5PlMgeXqFsR+comYOMLvYgjrnYUDR4etrxjLkp0YT8+k6DaEis5pA6tMTjbrxerqwizrtSozJR8+BWo1z1xDF5y6QO5+k5B7i7z77fVK5OK36Ih5fHwsLdgJ+6N/i5vyiQi5eRO/V0mrSI3JZKs4i+cEezuYc7L1zH3/4v77Cbd4iB9+uZb7kpHCuRqZmpfOuVqJTFXIjI2zf38Jzf/YIf/zpd2DLzWLQhqm1l8nGUviau8hFKxTlBiqlREmj4HTYKVQVpEqJ2YUcGpeeqwMziECdvQfe/8bF+bVj37rfbEhgtBrR6rOk8wovTatZau/CdetWzn59lvDjT+BrT9Bz9xUsni9hClgwGqA2L1DFCjgcPiqsIndakRKrFBsKDZMRQ2czbQe7yWpSfOXTx6glS/zgsSRD2/rJVG2o8hJ5s5FxtZGhW7ax8vg0A/EJrvu9Ns5P5dDqdDiBUkPL+SOj5C7M0dAW8fa2YtBV8GkhkzFz9qUUepcVu3GF6GQey74eFs8vcmDaBgAAACAASURBVPvWND3b6zx+uIxtRoctFEeY06ilCJWSBZO/F105TTy8ijng5ELGSrtqlb4daX7wYgW914jWpCWlktEYclRMDWwqI2mPoGqWMYpJNl8X4JGHQ9gcXTx3ps7ZFws8ejRNMC1YiBmZyFQxVNI0yDJ6TEYWCotLSYqpItZSilNfP8r4Q5NMPR5E2Jqpm13oDA187hq9ARsjUxG++4MLaGyCZMGFJh9HZ1BwVMv4kw0aRTXJhSqZeJJQAZRahdkLGbzVPBaVDqMxQCO+ymBTFcnkp7LZQattgYXQCk1WI05vEwunM3jtCnvZwZaGh5nTDZZng+iH2jm0w42uQ8/imRRL+QKWHj2RpUUqLh8t9mEuXq6RNiislCss5xROZx1kim72bjGzP5Dkw5vm2TIxzeIzNXo0FerzUXTLDVo3dxJQVsiKEJLbhKmRwt1kpLupin11CY+AzHwQjUeH1ePj5acVBpQVHJcW8e5q59Pf/g082gCtA3fy8AkXJyJWvvngEfbbW3G63YSCEZRmE1LCDIUkwfkwza4sV+1pohJKcu/d1/LIZJpvfK7GoZZN7N/noxS+iG3xJP4OB/pSnYgSIDm7wKS2xGg4QS5ZI9LRRzTezFBLO6EXk6jrORytfqSylXqkQU0joW9r4sS5OJs2SQSMS0zodNx29X1vXJzff/qZ+xtTAiXezL4OE+efT/NcWmLTr+3gwmSYyuKTGCaP8enzH+WFdInMgyE6+ttZzTVwNHTU5SzNUh6n3cTJuhFNLYJLXQKtBbmUZn6+RK2U4X1/0kmHP0RaVlHIljG16DAoKao2HRqviXrRz9c+9iQff5eG4JCdo6eM5DBgailSshjxD9TJzE+RTZUpxKuMTJbZ0VWnmKoxFq/x3l9toXu4xsnvL5KqQ0FRsc1ZRWWQcGkE5tkCVqNCWldG02emUm1QScapx7I0rB60Bh15iwl/aortW7M8F2lB69DTJRdw2aIY9UksLsE13jaOntYyl3NyzbYpKFZYqmq57m1X0NWqoKpYue0dATa9b4hkxxC5czPMXg7z5JeP0be3A00hh7mpwaYhkMyw5zf30H31JqzXbsXaIVE3lTG7JLqH/VyeLvP2jx1k7717qF3Zz+iqQlFlJJwGh0awyZ7C0tNORhaU40E8PS101YuEgiqyRgMqlQbUKvQ2DaPTaWqyHY9RIf3iAqqUhbbWXhoWH9XJCFZTkfbFGvFMGlnT4NKlCdp9FtTjQQrhCktpFXvfuw1b3zDf/9J5vB1qWtvdOJutVPbt4tyinmqqhqFu5NKlJE1GPcGSCkO/g0DyNFcN5UkKPRfP6li8OIL1UpC+/AJJlYmMzk2zukjq1CWKxTR2jZ5MTcagNMDgILKwijYzxfXXQSNiJJw2s3ikxMc/9SyeHbs4tlTjLx6/gdYeDRc/9SgdcWg+1Mu8WdCeiaKKrSBbvegNDTxWB4//+VNsvVWw7dc7+dpfJDh9NEQ128rZyUU279azXExQ3LKFI4dn6dnfwjm/hbSthk7n5sjJaaIFL3dd38nduxxItRIpoaIQz5NayaM2qpFLCqJaoUmfJVpPIHpbuWX7O9+4OB956Bv3R2M1br3KTfjR51gMy+z4fw5STqVIZCJ0HdzNie9MQe/NTDxdZdBpomYRlFUyBkMcrU1HKGtlviyRrycYaFkkkSuTjFmxpgTWegOpUCFQy5PLGdE5OygsFjBqzMhVM8GiREuzkyPfk6iOPclv/bWPZzMGvvmsB4e7i562IlIlz2K+REklY+2U8DpqtG4SVHU5JqaqSA4LasqMPXGZpGTg6ju3sPpsGrW+QcXuZWCgD320QcJqIuXwMXRFC2WHi3lVO8lTIVqatBhm0hgULcZIncx8nbO228iZW9mlLGFSMhQtLkQpj9u1l4993U+ztcavv3uZqaNF2mzdpBaqZE+kGBuvYrj4Am1eE7IqT29xns5DvRx423YO3LUVzXKQuk7G7HUSiqsoLOqQpAxDrTXk5QQzY1WkSgVVTY9WasK+mqFx8jTmjkFqdS36Wg17qUQxrscuqZC0gmotDcU4A7uvobgcJjG1TF0vUOvMSKo0eYOJgtZCcCVLMp/H6DZR10hcN+jmyFMzZKeX6dshUw/3M2/QENHP4N61SK63nQVtD8VcFbexRqGso6bV4HOBdSFJerUT40SRwlKGYsCI0NVwGdUMDGrJBVNMRgKEh68jZjXhbsqivWc/dZcOXyJL6xYvqUaKVDZBIZOglKsQ9nlQaSSspRioBVqNjYaswiTrsWaSWESVcMWJEhjkpX9d5OrrAuwb1LKpcpFzT3+JQ7/qxdnZx6mvL6LeYiKocSO5jTT5dMymLTiLDVwGGaOrieWlEBqDk9CpSdpUFlw3ehhLN1ht7mfzzS1MqEfxdFrQFtrRV8vU0yrs1Lm2R/C+X91KNl0mG1zkue9GiKZjqAtFHD4LtXqZYqhCf48XORKj9ZoBCmojN2y55Y2LMzJ6/H6ERM8Vm1Gl0iREDfX+bZw7GWLPYJ52/QrdVRliekhU8HoE9VgOr9tIrq6hWFLYFAlyqTSEXaMhUF6lkpZwhl2YU3os1irzBjPGK/Zw4iszKPEKKr+FarmOy1FFHfFguxBh4eIkuz7YzY5ftnHs/jiFPNxxh5f8RJBWoXDz79yAvd3M5PPLSA2ZkquZSrBMLKxi5y/uwh3IM3IeGruuxmXWUFNq2PudrC5qGTs1znxNg3Gbj5aEHt9zs3i1Vk6fzzN5IsLmTi26SBxZIzjz8GW+d9HAgrWdrFQmOppkuxQhMW+g12lkNeTghcdWqF1aRKNNsXiujXo8xpmHlph+egydvY69I0ZR0nPuB/P4PQUWlhLo0TP23DRmbwE0MnKmyKkzcTRT4xRGFpj7ZpDeFhVaqUzFYCAYM5CYjFCtJqnEawTHy4i8gk3IJHJ14nYTwUaKkbkCOY0Vi7OZtpKa5UenuXCuzqY9EupGhoMfqDB2ukSq3mDXLh+V58boaxbYbQ5M9gLfOT3PFXca0PjCfOkHl4he5eLdn9vPtkM7uXRqFdfcGP4eD60BM5X5BOnRZfquszOzqmDsFQRzAp2nhi5VxSSgWixhHnAwnjKwVRcltJAmX1ZRs5m5cDyBsLQzv9zAsK2DCwXYcl0XPo9MbKWJWYOGguKg29kgmFTj99vR2DTUCxImt55sRabQaaSsUnPh/CkOj/8zT93/GW47Ms7tMw1iaT1dezzYPBVkW4XR8zpC8wo3vttFfilM1WVkZXQFv7PGjs4ywYaK9us7yKVL5A8/z93//Bt84asFEt88yvvsF1B1T1Of7caiUbC4c4SzII/P8ew/LnD8hRqzp2MMDjZhtpiYi+fxva2XsVM5hLrBdbeomXnqAj3vuZLzzy1x56F3vHFxPvjP//v+psEBZqJpClIJW8DK3FgerVfHsH0Zx6VL6MompLqTpjYdBp2G8Lk06oaWrLkZVTpFdzrF0eMlqnY7miu20dajR7cQp5wooW71saRXGHjnLkzlBluGzaymVFQlaBIRdEY/Mi66uzPot7pJLgd49nPLHLzNQOuWBt/75mUuXC6TeyHFvnYVgX4LqwUYXzKyfctWak+tED8XRJ+rEtcFUG0ZZP7wKD2aKNpiAZPLh8FlJBpKIZUKLD8ZZObYOW48tI2G187oaB5PJoOp04mmuZk+r4OWDjPbtigMOcOozFCNljn/+CKp6VVWZlJc8w4j1cWTuAJWilEJk8ZBr8tEr0tF+To1iUYT83kFn1dP2ikTMOgw1/Qcv1gjnC5QCKepo6W9K4B3TweGgJd6oJ2FYgmTuwubTYcbGUWjw6DyIlWsxDKC9g49GnUFqQJX3dSDb7CditAjJ2q4N/Ux/+QU4dVLiHYvH3qvlqZoDH+nQvRwjDaDhLRlmGPfWaWzT+FiSItWW2VkIcf2Gzq5VO8gFpS45mojUUMTv/dP3aysGrirSWFiSsfq0hzu5Cz1bg8rF+NkFRcGi4xJieDq0OFQygx2q3GnYlQSBYoVCbtV0KLKkD6ySGdPDwGvnnw+jaDG5fEZ5hZTTFMlMbvMwXe2kut0EYzUsRs0pApltHo9FybL6Kwyne4Mc7UWKv0teEop3v/Lm7EOO6jGetmftWI6v4wz42Y5F+dUKk3fng4ywQrnnlzC//4eRjI2ZKeeTluRagMSZ4OoDDaiCR3W9gAX4yaWF+e540NX8oMZie88O8q12hp61SbMiopCQKEiIGcxs2loMwc+eD0+Y4F6qQQGI7HxKJt3GTAFo8SrRu5+h53FEyeJFM3ks1XeftNdb1ycx174zv1Wnx11dpWtlQyWbI7QcgONr5OVgo9g3UNKo6FSV4gHExRrOpSGEWeHD7dPhXZshGpaw/BtDs6cz3JxcpCuq5pIU2Mq30ZeXyDQVOVff/MBBofaqZkszC3O0+yoItwNDk9tJWPbxPJQEWtmgfMvl7CbHLT0aEiX1LxwSceOWwY5ezrOs0+Oo+/bxOXpKHJJYrjNxEsPHKPV3kqzz8HFI1PsHVKRH4ng6fahMxqoy0bczXqaujuxeluQTH4y/r2IYQeRdArtQAs9bTLlshGzSNPfpmbVUSOlNoN6Ea3LgN3uxuhx03ywk1pV4B+wo9XZMdgsBLxW9E4zUjJDZ4uKXKcHl82BLFexLIWoVLJU7A5itWY89TTWfhszWSN9BwdRLV3C2dCQPRymUACt3oZiNZFNZTEn48heOzq3lkQwgcOaw+6oE5f02A0yp1aNnA7r2b7fh6c8z4qvmVjSSLtPy+03dnD5hQQPfjeBS7+JzrKTKy2rJKztXDyX5pobm5leSCPHFjAOWAm0NfG9M861iNumpmN5lMJoggtnktz4ns0YKguoqxGyWQPOPi/lbJEWoaIiZ/EbFVbLFip6G3PCgiznSWQkbEY9kaqMtN2C7Gji6KlFKqkihaoKdUsAR7uT3X1pLOFxHnyizMqDq1x3dZn+XQ6e/c48LS4jqHSo80U8qio7t9u4MFZiMVRCm27w0hNpHvufz9Bh2MvwkxdAinG062YSd29n5IkxtFkZyw3bOH5iFPO1sGR14e82oZer5MsWKsYOTGYDU8dmaLOEufGeLSxeDFEZG8f/a3ch9Ac5P5Xn1s0xls/3UrAayF8OYXAHaNcFqBg0hCpacpKKwS49/rPzBIRMtd7Ml78XwlHO4t7uQ0nFGO63sWX7TxA5v/SPX79/01Y78ZKFWF6N3SpTQodOV6NaVzO1pLD9mh3UogU8Hgc6j5N0tECzX42qGCd4OUWuJ0BLX54wCuemgrzPmcRcXqAYjLNtn4Xu4XZ6quOsFIs89O0l+vZ1IosaR5Nmtrkz2GJxvr+i0NkpYVAKGHVaNC0lssUMeU2OtkELrfcMo2gMtF3hRQ4m2WqLs3XYTfcVreS0BaLGBjOpHNo2Ly5rDbNFopqrElrJkcmVsCpl+t0lUukIM0qDeGEFTTaJ2yRTTqZwJhIYYiVyJjeWW/ZQnJomUF1BlAXVuA+DTlALy5j0WmqVOoVaDZ3VSkmu4pIkarkksYaLhUslukwS6YQgvRKiuTlAsezEEFQYbiuwmFHovP0g21srBE8usGr0olotsqUL/JvsBA0earkCrUoYldXMVdvrnMsYqbgNVPMxqkYDPlMBm85IeKGKeSFEyVOnqNbhMeTQa9XMhNKM5D3U77yPrz+j56UfjLMvnKJoVqHbZSWxHMFq12CyWHAZazRPL6NOJuhxlPB7E5iLMboGi/g0cQLbEhSrJWrZHC8m3MjFHO79e1hNK+SrMltv3UJ5NkoulaCh9lOpWdAb3NiajehMdkQ6j8pmoqHVY5SqeNVq5FyVFGY6Nilo7GayNRfqkkQ5fpLV0WVartmPUCSquQbCZ6GaKuOxFplfFeBqwacThKJ19FYdyZqN7NgK4/UsL95zHZc0Bia+dhFUGczbDTQ3zyO7g0gaBy2LEXxLcfKZCnIsi5JY5r/99m68Xc2c+Oo0m1qa0BbzZBdyZE2bOfKlLJ//7wUOP13Di4qeJhulsJqzR48SLQX51rFFlpYSWB0N8pEy45fqJK1aXNvbGV+yU6030yJXsflsDG6/+Y2L84WvfvX+araZM5VegiYfBiXD3GqJ7mEfeUWhlkwS2G6mmJTx+zSURJnVuVVcZhW2K/Qce2aSbbc04U+ECEQVPMECLJW4wZrG9uQkx49cIm33cuv79mMebGDRSKAN4Qt6sJY89J0e533vsFGZ1dDmMxB5cYWUw8nwQTeB0jzhJgfHRlUE4yl6dBHacvOsThuo4+TYPz1OZC7GbR/vYO/VFQzddsbnMwxdv43ci5MoJi1FyYwuFCJ/Mk7qbISSokftlPBZ4hi1UNIFWaGVmlZHPO7i4kQEp7eOVAmhqpWpCxfGooFSXaauaKgn6xgMFtzlHOmqHo1NoLdZSI8WcLtkDmy3kPcK5vJq3G475mYbunoRo8FJJisoNlkweBvo5i6iemCSzj1+pvV7yU2O0j2s5zvTeprsJUSxymxQ5vLATp6sbaVh8zJgEJjzcQY71ZydCqPz29Cm52k55GJpPo9b0wC5QdfuTiIVNYtZhZarPahmyyQLChcX81hv6CEj4lg9ZiwRNZpijtWCDdNwBV9zBme7inytRqKmp2hMINdmqRwN0jQi2H1rN5sP9PHwtye48K3n+IUuhcuFCIXwHNv329Cf19Ik1UhVzZRJ0bBoUGuN+EwKlcU4maobtVzHYFdTRkYqqVFsDowobOk2sPmOfRz53kX2XeumY1jNkacMDHeosEoR5ip2aFhQE8fu0WGQKugMemydZia7nWSHTHTst1EbuUj0xDl+7W+vItwY4NgXznFl5wpbd/RTWuxHnlERb6hoFv8fZ/fdbdd1n/f+u9dua/deT92nV3SABECQBMUCkqBEURLVGMlFSmQ7dpw7ZFm5HnJgecSxHdu6ie1r+6rEctRFmaRIsRcQIHo9wOn9nN17L2uvvfa6f/gVSC/iM+Ycvzmf5ydR1zupp428/OM3sTk1FPwWVNFDK99Cb5Nx3x/g8ddv4QwfILOtUu2WcEWstMJhGqKDjz83gy+5hloU8NYjzDQ0+EcthMc1VFQDCcmGy53i3qcHCLru++VxHnJun0ld3qUUCGEwyoQ0m5jdEv2T/bz2QYlQ/wSZlU32+oykd5fYknRIeiflmMK+L3rpdBdYLLSR0qPYGypD4y7MM6PcSGaJS9v0feVRsjOn+PIrfn7xdyWOGRqc/q0RpA0JXapFcqtFza0nn0tiH3Iy+7CTaiLHSgrmruQxzPQyc2QPLmERi65Ken2bkjaI74l9HPnwMBlB5dt/+Q4tKcHQ8TCv/+QcrqEgt24ouMxGQo4CUwcCLGQ79Pn0GIJWqnRwWpoYpS5ZlxVPO4zf2MFts7NrjqGqNcSiTDVvoaULIFcLOHpM6E1lqs029uEgxV0ZVe6iVKvYF0vsrcmosoU8EBWMtAtdBq1dchYd2yt1LAMKxZQW2a6np1fi4lKVzd2DtG1TiHv2s3DnNZ76T35u35pjzGfDWCrjHJni/7vaZtoJZrVBxOHh3E93iNVExj4yhY0mqAHkooH08zdRBS31AuR2m7SUDqZKFms5w4mxBnpPC9+kHyHYAGuJIiqaoh6TVU/XopAqVUlr9FQ7JsRqC5EArq1ljDsKlVKYsREPa40dfv7aBjcW5/jm907ysd/Tcrvs463ph7nS91mid71M1baJ1uvo7FvYTC0MlhrD8VXurFRY1ezD26cjNGyi3WqQn9exuqmhf9JO1a6QvZPCafGRnkvgnzbzw/l+qoKZqd4q2YICRS0N2UatmMamU2iqVsy1JIZhBZ3Zzo1/uUB0vsq+p23sfXqGV/9invLKCv/1awcJhQe4+Ndb6OUW4oCTpZaOD592Y1xb4lqyxv4Tfi5czuHucSBr9SzMb/Hl/wyXfv8NTj4gMp9TWdio4BBK9Dxs4+qVFMFKHCtWHKJI2KEiOBvkmyWKNYliskTHqmXj9euM6r1MHH/kl8f513/yD2dmpotklCQ75zNsykWOfXYcKbnOmCWOJ2DDFTnA/PubiKqMTQST3YhNCy23SkboELY1KXKEhLlBj7PM3I0N4oMigQkTqq6F9tYW8ZzAzJiLD7feJHd1nfL+Uaq1JrXqEim9nj2nD5Bb6ZC41KBb7fB/f+5B7ryqI7ru5SFxB2U9T9/xATayPt5+e4FTXZX3frLBQHiQD52cxeudZfW8lunpvRhLIvtd8NI7IlspO/JulbbWQnvEhOwGjB50qoil26ac9rBze5t3roj0aHI8ESmgTE9h8XqoSxqs80VK1S4N3xhbq1l6PA62czLCpA3RkMN2+in0n/8ab5k+TnUtRn73MuebRSamW+zmoavosY7o2YjHOdxjJin3sZ12M0QXIi12Qwa2zr/K+LMfY1MFj1rDbBcJ1k10ur34zU4CmXXqmRKJlQwdqUN+t4jUgLZgRuh3U9yqkG9X6HlCxHJUQGe34jA6sPdL2EIKq1cTfPJJH7udEhvJNMPjFqKbWdxBKxuZIvltlXCnh/0WC6nVLvWWFiVaY/jJPtoP7sf0xX4uns+TF7XcMzPEfzk9inHTy3+MwXqflncvfovfjRT4p1/7NHcrO6zXlplySHRqKtXlPIuKldT0UTyFLfrNu0x7E1zP6WgbnLgLHcw6FZNlD+34GoaDwzyxb4QHMgsEl7e5c6HFQLBM1aYla+jgHjBj8NnpZgQs2TLu8XHMbj3JSzcJelUe8CWZNJj483+4i2lE5vd/9jBvvdrlO39WwbjvIIa+FoVGigfdNtbfq/C335H5xB+N0lcoo8Q1+EwCmliFn73s4ycvtjkxdJsX1R4s/VqCY33ceNvKyN4Qe487aKhlohkXis9PPRRHH0mxlYyipN0YTFYcpRqDIw6Kt7Wc+He/wrX2r370kzM1i0jJrSUc7GXtbp385RarDSfWSTeD4yKV6FnGJsLUVBP6hpFmS6VR6GAR7GirDvJbCtdfSzI80yQ3Psr1hRQfPmVGdEV46aoXr6ZG1d4Duxf4wy/V+KO/TrIwcYKHn3mC42MiO6tNVl7d5IPn02ys1LFNDKP8n8s8aqkSGdEy+VGRpQ86JO6ofFla4ogjzczvTXH6D/4d6bNJhnaXqaTbZHQe5m5mSdzM0igOci1m59lP7kcor6FSRW+u0LHqkRoeTKUU5lqa4nCb5ukJLH/xR8xfs+G9fplyNo9LzDD5yDhtb5haNI1NVDmy18mELsl2bxh1by9MSrxyoc23/nuSW/ZhTn9llK/+12OoB+O8F53D4Q3zYCtI78WLDB8foO5wU1qJYfVakEwCGr+VAw4D/p4WtRTk1jO4bndJLegZnj5ANZ7Db0xgFvOUdFr8w0bcPsDkxphLMCTk2VpuUlmOM360gOWxJW6200x7tcS+fZfdeId77tMzt5gkm8hydr5F0B/m5DGRWsvIo899CpPDjM2mMPfKEjOiE1Eskc5IhEe6xFe0zP/Nz9EWNGTuSIw4+vGrFspLDeJrKqps4QnfJX78ORe+UIlvb96lNRfgkAi+1A5iSMQrVLAZzCwrNnxqiJhSJjRrpOKwom+Y2FxtYjMIuDq36dlrQZdyEJ+D2x9kURoKfWMKvYck3t3IspUV0dyVmJwN0rK0GNwb4NyrMTbnl5h9cIJSAixtPSbVzvdUJ4Nf6iPkb/DuNzZomvfRfzxMpZZB49LiyeRYvJLEvjeCSVxDMLSpDPjZaWi4+e4WibITTu7jlebzLG+kMN+7l4qnTGHVhHM6gGegQ7XQRk5pmFu24P/ofYwR46W/ncMy20twVAvNKo1MmbjBzEc+/StExtYu3DxjiNZoKAJm2uzx24lEJe5ekrh+vsOpD7vonQR5q0ZqLYkiGbC6stgjA2iaNs6/vMbk4Umacpr9Xxjm3Bu75N/a4SNPuLiwpsNZbDIYgkKmw/h9vThdg/zjN/N88ht/xFd+Z41/+EaBe+8f4cinQzzwoMhGtMCeZx2MHTnC2Q9yXHx/iTt5BZOa4dE9LibsJm50D/Gy9UkGXDr+6cN/h1ewow07WFWtlANmHv7oAMsvXyPkLDM4KNBSs/RaqlSlGi3HANW2Fq+mjGpTGPxYBE1knF8z9XH+O+8wNNChFteRvJTEpemjXBPwyDtkTU4aJi8HJj0stdvMbzWYWyjQ21C5/4ku0/XzFFOL/PyF8xRmtmiNRnhmeJrhuUOkv+8nnL/C5kgEo11kMBKjkK1gUo1k5ndoD4fIryYZWNtmj1dHrCpx8/UC3dHjKDoZu61CRrLgalRQyxIdfQetQ0OzU0cIBWk2SoQ+M8zz4/dzdi1MvyLzpU+McHddSyPWIbfWQgoNcOzpGZbP5VlYyqC97x6+8HWBzzziZ//9Jm7tZnGrSXzHfOS6GhJlkaCni1+ssLOQpGfvLP2DbhqlDLG8g+zgEX7uPca72Qxl/0+oyTnuvGGkd7NDhSW6zS0qAZmmwcWO4KcTbdI3aaP/KSvJboNmPou52OSpz86w7/G9dFWR99/ZxavIdCx5mk4oDIEQcNHwdOhk0tiCg1x+IUrVIOAe6GFlI0HADX17HXSQ0bbilLUOvvFGmeqz93HikVHyL2+j7mboOEUmZ5p41y+RvJ2DihGD1YHOB2orR7PZRHH7sZ4yM/wlG9O/t58BSz/3NJf414sijgcmSK+voVVERoYFCtkM7ZiMqtvLi+/4GdzbT/vuPO6agGsyiFcjsDpfIDTeR+TecY4cPvzL43zjW987YwtbEbUCpawZv8vI3mkXlbSOZFlH7uYm7FSpWYMsFBX2DrhwjGkQRgbx9Zlore6QLcpEHo8wc9TN0tspPFYLzzw9yWtv1mncjHL/433EMl08PglFqbMU0zBkVPCJNjQ5PY/fs8WUI87M7SbChS1aNhO5TodGpcMD/2GQAycsmI1dNBot798J8n9e17Fwx06aVwAAIABJREFUXcG+s8QgOgY+FKLUqKPtaGjou+hdJpbfi2N+YIbjQylWsxUqXS861Ygq9GBSK4jdJhanFilXZfXHCzx++j5KP38bae46xVSNY2MWqr4xLjV9lNQmubyVbK6GoVhhcbdEN6VBss8SklRa+R3M5TRG0UR1vUncM8gv/n6d3RccmPVf4M9v3UvkiEAl8VdIuofo70+gtxgoViUC5g7X5lMEAzLqnbvsPzLM6b/8Cq/95f9gab6FemAvLl+VxN0C/f4u+nYGqZLC7AsiFx24nDo6xgA10UV0Y4CU9cvc/E6TT/7aCYqrtzFZaxx9cASrEzqJBBG3yG5V5pGTYZ5/Zxh/JQrVGE6Xlfm5JjdTNcKHPGx1Sjx/Vos5cpT+bpmqasYQ1tLX42X7vTiJGwLN4BGGJwYprJvZftnMYMLEdMWMNdfEWrJSs4XIiH4Su1qCZplr0l12j2+x0Sxx6P6DzBr82B0+ErdiXPzG3zDy5B5M7Ra1bBmNaCBXl7GatUxG/Nz88TqbvlH+/f86RurKe5RyHWYCJu6bNXLsU8OMuVXePnOdl9f0TH/mC9z7n+z4v/tDdBdvousJM/6Yj3iyQfTuNrJfQKNRcU9pMdsrSBYrFUlHyNAmq8sT22NHDfZy40cyv/ncDH/1wx/zsccnyalG8lUT6ViVdkCHUWumpTGydS3HyWddDLpzrL97m0JboVbvovMJOPtMlMslHnzwsV8e55X3XzsTCGuQSy3cRpF8rUZZ18AQBp+7yuGeJpa8gORwohsYprqZ4sL56xR0XfYMqgw7HZQTdVpRK7VbDbauddl/r5vFLHSLVYIOFWtfkPhSHovLQSINhx6eon6pSW1Hwlu+whOfTrL2aonqWRORgIvJp6eYlyrsxBK0dCrNjRQbFRuvXW4g9rkZqC9zwpOlSIXex/qJlZugdNEoAjZRpL8UZclpoX9Pm3JGIpm1YDUa8dVKKN0Mtl496RYENQrGuy3GAof54Kvn0NSW0OuKHDg1i3PyEC9WQpRtMgE9+Iwyfp+GhUqNkLHNmKuBIV/A54Cu1UgwGMZakNjT72Fp2czAHjff/2+foJTM8803fbyebfK95+/ywi07xXQaVVLQt1T0RgcRlwtXvYU61M/XvlvhytJ5XrlwAEvtbX72hoBO40DUq9Q6/7b7wWb/t3Isp85EUpGZiAhot2scvDjFrwfHmNg3wp997nfotVWpdkXW381hN3uoC/2IWZWAER4ZEZhbCzM6ocfkLJK8ucjdnST790K90qR6o0Cp7UM3GMTjMROgQ0sjMPs7k1gCNYJdHcrGLpHrz+MpB2m1QrQwU11fIdqWebFqpROyYesL0KmI+DQJhEO75IItvGEnzQtOFr+1xfqlLLX5DT7x+X1cvVBDNFkxiRZ8ERt2h41OQ8uIw4VNMnJn70lmPrqH00fKdANBWnM2zIkku6sW3vpuCt/hAwyemiAnVSm/8gojWzGyTTe5lhvn9Chr13MkL8YIBRx4XG66HR2WrorRZmVntULYIhF3Sqw0UyRvnONRnUJ814h9u8t0xMbFpQYaqxmn1wiNLvaOlnbbgLaWZzsWY2e9wuCAg5F+J0a9jmZXQ60hoVWtPPTIo788zgvz587UEjHKGicyAhi7pKQGHYvA5KiGcbVO6doKZ69XmNkjsn27if/gvQQHnFRfukPoUJjdRpHAuoZm20ghqCPYL+GtGfDt1BF6w5R7XFy8vID/I70Y+nTM39xC67Wym9vCGSkwfWqM869V0OzomThg44XvLiK7BQyWAHI0CgMD/PTdFup6mQcmWhwbUBmQ1rlWsRA+HqJwYxFdR0vXIWI1JHFqcrQNdlo1D3K8yZi9Q6PaxdbjId9oI2sELLNhKuk2C9caGGQFuZhlzykzWx4/wS/uJ10tkW/VMWiSDBuyLL6ZJrC/B2wN+ry6f+vd0amIJhGpU0WRrViDLZrbHQJGHXYxRPSfv8vv//X/hUH9I+Sv9LL50W8jfuxBpCIEQ0aMzgzqtkQ5NMl8tsLQTJA7gdNEb53nt36zhmH+GlenDtBJltk3rnI56qCtq2Lr6GgaRHSyhu5AmGS5TalhZLQhU/ja1/jqw32c3K9h3GYgURPolDv4hA6FQotcUSE6FCDm0zOyegVTLkYr0UAolmkYTZicFlraQXoHIowZq/Q6ZBwOkHJlUjdabCzXsAdcaL0dJEMeb0QhawGlscNTT7bpuBTGUbh9pUDfoJtKvU19a5f7jlv5Dx89yqJ3ltaCjGtZy8RsiPk7ec4na2gjQbxmA1qnyoUVifWSzIS7TkcTJJ7TspMw8GrOz8ETQyy8tcuP5o+iRmc5fOcSiSUTZ1MN+g8F8Q9VUFBRNpf47Jcj3Mw78If1bG1v4dI3kRzQcgbwlZbxBDy0hBJGsx6Dw4U2s8unn5vi5EEjz0x7cXZ0CG83mDrkZ3N7l81KEDnsp2Xz06NP0mjV0fWK5Ewi9ZCTAw8NoG9kcOgqBLtZKk2RXpeBnVU9T37yVxgI3Xz97BmXsYtqEOnUO6hSF2vYQ7VlYjkjkxY0dA+N4p6J4GmbuPJaAv9IACfbiOdT5MKz6O57gvZKhQ1jL+WwA3dtDSmrEqhVMVUz1HVG1hfiPPHbB8i8v01lrorVM4HHpNAdHKTi6KO0AkulJNZnejmnD7A4uI/ywhYfmuwSMmiJvbDNnl6ZiKtAUOjQuxujYu7nxrwWKR9lJylgDAcoN3U4bTpKnSoOERTZSKVeQ9J30QhtwhEjUreNKoEz5McdcrKZUxn56DDlgoaSLUBrq8qbP5gj7LDhEYoIa1k03ike+NQ0sUSBAVsYbbzC3Rs1bHYBhztA7IVNTh5x0srGKawncJmH8BKldf9DLD3+CPwJ/PGjGdrNOqNKlMTdDgmtl2BdopDZ4sEhWHjxLG9dL3P15r/yvRd/RPN6lW6gjVwwMTLpILVd41ioi1wFaXAMn7ZIp5xGLReZOOBBdttZpo+F779M9uo8ibZAsqEhPGzBGvDjSuborEvoPDU0Uh6x5UJbaNKpZSmZHBQMdvxOqFXLiBrwW1Qakoi918JGQkLWD7L1ehJN10W12UTaaNDr96OTK/isLTy6Bpeuttl9d4uy1cljf/gwhUqbZMfL7XyQumrlxk8c6G9baLy7jknRcyAITz9hJf7eOUZmB9EtLjAxasDiHcWBlaVNmUw9Q2TWi2J3Mf9umaVX0ljLTe6t3+CIf4u8LJEZMaG1ymze2CLssRIahdLqIstvXmf/b96L0DtOM6qh3uxy36SB2VCTi+se2mUZi66OONLDO6/k+NM//CqjuPjp/LcwnlmFWohwv8j761CUzfjCIpqGSm96m5CoQ9pu0ZQUEtkmg7MuFpcyuIwVuh4tbWsPOtXDq99c5d//8ad+eZyXLpw/ky6JpFNtgmE9SkHAnY5j11ZoabTIbRtqw0zyeobgjSUOG7LsecyN9oAFtVLi+39/B7kg0XOvlnwxTn/gDsVMh2/WPsvOxKO4rXqstRI2t4rvUJ33tsFz7wBi9g46t5Gj41mymxsoQpvZZycYeMDFjfPraId7OSTvMhLME3sny7mtK5x+5F6SvUdZWG+zcHUHy9EeJEVm/+O9lGx+vGYZV3GXfN1CX6TIZrGOUWngCwoYjAbysSraepeBiJeld2I0a2UiHhcGr52Ouku7UiTh06BVFXQOG75BhXbTAKoKxg6yqwqaTf70S3cIiHuZHPXjqt/FEjpK8cdmLOs3qJRrrI5NUPfaKNR+SvjUANdfe5Buy8DPfs2NzmXm9vIyQ30utqUWOr0LS0jL+MJlghNT1P7wywg3d/inp1/n8RO/i2KWqBTyFC0BpqYcFMsVBIMek1aldD2Nsc+Iy2agqoUL722iPTxAb8hBz2CURp9Aoq6jIOfZrtfwqltoUnWcD/QRu3YLvWscl8uBTtPEZlOp0yHY0aAVjJiELu2ahdiWxIS9hq0rUE4a2DflglIDxVyglKnRqdZJREXq7QJzCwLZugbr6BBjvVa0vgHW41VkvZOSLcT1F5d4/+U0j5xy8BsPBLn4X95jNORlebCXVFJF36tlc2GTPlsTw1oJnybJ1LiZYI8bpVxkUO1gb7Q4OqowMdzCFioTtYXZtNsxjgloGzewDfrR5XL477VzdaCF+MwkilbAtJqkkUzgdRtwBOPElS6bnUH6PTaim2XqAQ1f/O2n+PzRP+TrX/4GH/vdr3LKM0rWbMIVMfDt/3mXkf0RjhwV2L5dxG/rINttmJ0KeovAbk1Ap9WhNVQZ69fR8tjY3XUgWh2E3FYe+fjDvzzOy9ffP7O9UkZOFJh4aACjUYdJKWL2uZFEM0ZJRFtq06xrGdYk2XPQwlwtzaWKlh61i7PdT9hsxWctEnYZCSgZ/Eqb6MG9OPZ1OTmyRPXsNsef7GWzU2Ox46O5UuHR6Aaqz0SnsU02J5Nz9COUmpTvbtJoqzRjm+zba+RaSkes7mRtxUHvMyf4k6/fQNopc+yL42yqWuqFDttJcFp0TLWjBGpF5hnAbruBy9lPy9BLItohbCnhDVuQVQHnqAlfn4VWYYFGXACDg8bWKgG/hIpMPZchlgHJZaG+3KGVlhl9YIjZcIPPPDvFUs9zfHvzad6dl/E119HmJzioOYLeWWT8dw/w7s0FYtzlC1/3cOXsMqm8jqWNr/MPn3qB5H2T7Lqr+O1J9G0trkk7L95t0O0LE3XP0rl8Ed9X/zv/+Ik+7q7GSWgrjH9kL6ldGbUikC/YMNS6mCtNXHYdLbOeRF0kVdKyf6yBPSIjC4vsNq+zqygYVC/9e71k1ztUcg3soom4Rou/3415aoqWy4pRLlHeymJtq4gOHRWjjXq1QbWjYUPwkasXmOizc/G1LdwDHsyeOqsZBefECGabFU+xTM+4yI1VK0GnAXfAhCT62EmbCPVYsZXiuO1lDh1w4us34RQS7PWZuPjjJYZ7oXByHx9cEtjXm0DvcVM0R5B8U6xuNbjzfpa1lgshaKDbjmEaqpJpF+ioa7wricTlIhYkersZNPUGecFFcTGJ/KEwbxwsER+u003UGc7ayOVlwoOjrDQVPoh5GQiZCMWibC5JaMfsPPvxfZgG2qif/o/8Xelp1q9sMzieZ+n8Nu8up/n1r3+SfCtPequIxm1EFQRasg5dTcvQuEjYmEM0NHCVkyzHmygdLS5bh6NP9TISueeXx/n1//GvZ6KSREMfpzxmoJA149TqaQsG2joTFqMNvV0kNN1P0qCy2BBIuzUYvB6Wruewut20NR4asoF4vkq32GKwuEzh8gb7bqV4bqSAWumyozPx5s11PBobplIbW7ZGzqtjpWRHqmsYGfYT36xzJNLElaixNJ+mVjWRj29x38cf4qK9l0/9hYjQuMLS+UVm7unj/PVtRjIFDOkyfZNTZEpJqmqX0n4jv/3lBjvP63j/h0lStnGCUhISJgRtiD6jkcJ2gg9/aZBmw8fiSoNQV6BDm1ZNS9puwRbxYdQbUWsxZp8OMKdtk/jZLlv/6zUun9ew7T3N0GE9n/6olT75JoP6FTKlGpsbNhyKTHKvn0Qihyu6wURnnPnAZUJPHsQYSCCaisQzZsKSnaW5KPFIP82EmQvv/IDPHlmnd+ABipH7WDAMIQU7zK2vYqWM2C4x/MST1AxdtMkq0V2BgX1ekq02bsMmNtsWmVwX92iVwoQdOlrGdRru5AuYEg1uNjQcOj2ArRPDLOowFv3Mn11F6LZQRBWtwQE+Cw7ZyHBBj6PuJTg7g+K2EA4ZEFoqbZeFdrbAlUUzLk+MqYkFrn9QYuO9DJFpAX+vh2iyCTUzlZUGw70qDmuNurOB2srQim8TbMPqYgeX08S9pkV6nXk2Mlp07gaNosz+4x6SQ0HWGzKj9zp56LiZyq6RuN6GNQhFs4YZZz/ttSghpcDUhJvFG03a5gZNk59gnxfHNLyiSWAyLTHicrCxMsaFBQmPWqdeL+D1hLF1chx6ZpK5DQkCChfu7LB6vUWldYiccy/N1Bqj/bdxtO00NgXs/S7iHS07bywwYSxiGXPQyOiRNnPYe2xsp/PsNIvUwx42xTHktkgl1sTnd7Jv+ugvj/P62efPPPyUmVO/5SDrK7KzEEWuVcgUFCr5Fianm3qhTLkUI64xkayImEMWxoMO1q5nOHzUTvlOApu1SdfXoKS0aZqh7TNx68dXufvmGurIPpY3kuwZ0HPC5aFRtNBVNZSaLUJHZrB2WoyNwhtrOoafCWHtJDnxyQEsOh3aCT86rQU5mMe4+S5nvmyi8b9XOPLEMYxDLlyqyM6VTXJlLd5xFxqHka7dyv2vzNPntfH+O13sv38KXTtLMZ1Bp8oUEzUqZbhVtvPDf5pHP+vg4L1e9NUmineYH21GqXXbmIplSh07d/UbMLaDbLZyekCg2tlCM1Dicf1t5nI5br4/x+RsjEs6NxpdHUefA5OzzMg1mYA8zX6riejcVYwSxBJNTCtV0E6gr7nZqqTZF6zx0rde5fhv+Hj2K/dzXavjSilHztRGtOsY8TlxR7tcv1Lg1ryWwLgGR8jL5WslJmdNrOVV5HSK04/qSa+b2Wl1aOGntt5CXVWo5wTETRXHY4cxDfZhKeVYu2XG4w8TuUcBU5lyx8jwMAjtBhqXgLMtohTbJPMtnA4o1kuoUhnHiI3ItJN3P4DknRaRmsTHfmOQ/M+v8LkDApEvPcrV+TwDoohGrkOlSbVWZHZWT3Ezg98Iat1IbLvG5oH9KEYDQq1JwjKAK2+kWjBTL7QwV1NkFpKIdhtqIolY6BCvSZQbJrSiQPpqiZ2sidC9o0x6Va6cX8A24ODhT0xgDQ6QzjrQRHNMYaR6u5+ILcy0V4OuWCe1pNA32IPVJJFp1HnzB3eYejwEVhfdpJU9iQz1tsxo51WOeHZZeaWBqFrp3Wti/FCYzlaBgw8HSdpFcjckihUV9+wQ7YCEK1LCfSJESbJSrqr0evRU7kT50BMf/uVxLsydP2M3VNGqVV783h2GghEcbj99LjfNjorQ6uLyKmgtJg6MWgnYyqiZDUqJArGiBWVoBGtWjzEfpRXw0eN0krjZxDgzwX/+9c9ivrFKvqCy0tklWKiys+ZnrmZj5AE7I1MyJqVOazfD7labW/MSWpuD9VdKvPZSC51B4cQzfWy/uoJg19NzLo7/xgqD0gDz9jDJQgZ8VsInJvA6RMaTXXZvFbmyME0w+QH3/JaR/+d/36AyHGDKItNr1yFa7DhyOYxeH81uh96qmdn7+9FGmyxdXaPHVMZ/0sX4nkFs5ghSzwCl5hw6X5weq4fPPBAidGSKZKyKty0T+tAkxl4HW0U9HasNu6qS3d3myP4ShxY+oG0b4gcJF9sPuMg1AwgpDUpUiw4r+vFepgzrHH7jAmLEyWe+/hleee8t8u8q9OnbBMUurMYo5yvIDi/K9CiZWJvGzds80l/G0i5jGR9gbrmMeqPFyREd8dsh+j16WrdAripoWgYsdjNhUSIyFuZiWSYWFRjSm7j5swLVtRXqig59tU3dHiGZbFB1mhmZHkR05fnea8soVRGrxfJvQYi8hboALn+N6ymRfD7BR74wxnRPH2f/5gKeJx4iq+lgsnWRDRpkpUxLSOE5tJe5s2n0coO0oQ+taMR1dJrmZpG8qkE2uAioFRoOCaHPQD1WImW10zM+QqW9SSjRgo6MzigSCanYXR42Q06CvSWEpXMIdhtjzx2mZXRy5Z9vk/3XTT53MMiAcz/nLugx5yVsdYViVOXA/hFkfYVlpcFivoFNqHH6dID2DT17tQOENhZodpPsHTCgJjaJFwYw+HpwG2W2bsU5++YOM0e8EDBj7bMzc2qCrkODJnGTRi1JIt7AGm/ilvSMW41I2Rwnn/wVakpe+sVLZzZu5xE6fuKXGzx23xj1TBN2G9TtWgxKGV0X5m+kKb6zTWiPFcuJCDpTA/uggDNkp2Zu4LK1qXbBHLYjGAy00SEmVum/z8z2ZD+jwyoetChRA0Kzw9kf3OanP2wS9N/DYA+0ilX6PBUEfZlMSUci0Wa4T8KmsdNCh9LucqB3AvM/75AcmeCasUJYX8DmNdJt6tG0JfJ37YQHe5jaGyI12UfB0SQZ9qOzm9FUmgTsXWRrBQxmMHTxlRJ48l1qTQW/mEYs3yGxInLuR13El6sk71zFrBqwu2K4ulb63WYyP07zk40BSlknAaeJ7q0FTJJMsypgdRhJFwtID5r5YMvE9VUZf1dl8qEADU+dmCuMXujFavQgZ7NcKou0Hpph83++yJe+PMPrtx0k5hUmB/1oRCOJjAmDzsmY2sZTl2kKIgFHnIotQLvRZWZQ4OXvRYneihOo7iCIFnQ9oK1VIFOjqtHT4wK5bqGksdKulXD6dHhbXXq1LX6xWWXYUWV9LkezfxilfwyrauYcUyhHwthcGxyatnDg6AjaSoOC0kTVWIkpViJBCUxdPn/mBG99+xLqcpfZ407OrjmIVrUM77Ozm8mjtQnYlQ43ow7aHZWZg2FW5hUMMsxOtOjMxxDFNtou3NZUSRzdg9FrxIAZ4+Aw7//5Lzj+oQOoopu2XGO3JJNcj9MRZcb3VrCKNdLpKvT0cvuqDuVmEhQZqT9If8TI8sUiepuRHncTu8lNc7NAyCmxVclhCcl4xTwDHgdLLxnZeTlP9Oer9J604psWiGR2iMVFTG4PlY6EXqlidHVw+tz4Z8MsLlRJ6QRK+RILqwU8Vju0BfRtO6YytMsCqdUc+p4+Hjn5K3x8f+/F758x2Y2InTZFIcxCxkvv8Rnunt3EOSTicLQRrHYEv5WNtIw05MAkNOjJx3HFi1QSXVw9/aTWM3h7rPS0GmQ2cggGA26vyM0lPe8v6Bm+J4i2q0FYWCcUavDcF/ajEwXefmOejEnDsSc9tNoi11/Y5aHPH6Ch67LniIbtXIP1jTpiV4tZVGm6YE1nQT8yjEMVkapuZKlKVgCdMEDL7aa0E0XXU+DschNHv5dQ20pRLeOSFPTiBrLGicYlIhSMDFrcLGUamMYjaBausvvBbRZryyQqS2izoxjcTR4NmnnrOwpH0WAwRYguChw+EERqVLDYHGwWVYplAXuzgGI08dQXR1lznWJx6teRzTaq67ewj7vJxVoMJjSko3rEXisvLttonfxNsloDz50cY/P6CsM+L91cgnpNh2R30RRdaFoaMgWZJD48U0PM13S8/rMdzLKCrbHBF/78Y5x4cIq57TAbdS2NWola2EonEsAVNLPcmsAcMeHsb3H5YpLhA2GK0QqP/sEskSePMjQ+wxd+b4LmuSj9Dg+jJ5/l7695WPzpm/g8JdIpEV1LoJTNEHb4qcTytIN+5l9NE1/tsvfUcRrtLuG9Pq6fTTM1JqDG29REH0ZjE0NiCb9Ly/RwFzWRYDensu94BNeElvU3Vfw9o9D20r5HJdtrIqxLk9wQmbaW6NzNYbA7uNR1opuawIjIWFDlo+67yHYLuXgWm8WJUPWh97hQRYWtuhbR48DTapC4kUUbtuE1auhTVZJLJYRxPzWNDme7TFvewe0UMGaX+fBvzbKi7RKvazk+GsPc0iA5jeSDXnZ2FYYiTVKCFUnpISG0ybdaOJ0FjEjUVMhpesnUbIQ1XQwdkUjIjC2ipVXt8PBDT/4KYet/fuVMcNKNVMqzEA+z+IMrnDCl2NrJ4fJq0WsUlHoHe7+DrtuO3KyR/yBLSXZjWivSrekIdMyk9Cb2PzKGuhEnXSzQtaoUNU269g79lgrNfpHtggG70kZvsXL17WUGIgWOngoz2VNB24COyYGgF7HU2zRzdSTRQUdnoH/AReFSliuX0zieOkVZn6OahWpFQ323iuiR6Mrg6unSaOyiemqYzA4sxTQGrZNa1opjHKRUh7JbxHhbYfy4Hp81wGpOoqxxII3aEEQddXOW4FadPrqYjx5jMlTjfnOGmythhj9ziLQtSKPYoa8/zNj+XiRtnVytQNhpxGHR4D8+wvCYicXv3uHqlQ0G9TGc97pQ3iqzz+kmmFvnoWMiVb/K+KCdN/8szie/MkXr//1L+vw2drUyKaWLaNSjRnMU5huYzXpmT42ztLxFULfBZ/fM87XTdnblED2PjmC0DbGRaqCGDbiOqvT2yuzKdVqtNm6XFbPPRz2RoGdET+/oJPJWiY05A9G0yuZ6lY95FW5//xzRF9f50scfw7Ta5fmXCphdCkcMDdZlN3qfHktXQmOsQ36HhhG2LmeZ9ut46LkpUvEit86t0qLDsKVM8lKadqyJw9DE5u9gU3Vc+uESYVGlZzaA1FQotLq4B/excztNX88UDccKO6+9w+PH+tGsbZGPW7C4nPRY6niUJrG4noDHhk3JYyxXWLpiZueWkT2iCUVnIZptk0zLWK0CIZ2EQ8li6beTNwikM1n8mg1urpWpGUSGXQpyTot48AjOvIfa21EaJQ12nRmlBvsdHdbmk/iP+DDYtWy/E6XP12VFP0hUCiOUWlg6DcRyA49XZNxYRWiUacVq6KsVYusS6cUss5MOVK2T48d+haeU5fm3zohCB51Gwdeuc5gtDlTeYrVlwbhnmo7SZOFKgr6ZfpKrOZxyhd6PfoT40BHWr+Z5+NeP8PbLG0Q+FKK2WmDuXBzPeA8dvx6HLkMBA922gOLpomTqmLQ19EYZbdCGJeSh3WihalVuXxPJFotMR3wIhiabNxrs7LQZ8xtRa9sM+ES0DiMWk5VxNYU9X6EtCjhcDYoOAYdZg6g3oe+WEZoqsXYXcTyMICWJleyojgymUor4oI6tC6t89jMZZlQHi3+zhsEoYXFkkLoigqHBT26nOPkXn6fy7JMElSa560l8J2dJCwW8LQPVusTC1SzL3V2spi7lsg53x4nJa0dr7/LNM5vUfmbhSewc27pNZL9K1WJEXezS7NFTYYudwAQzjhZXvvk5Pn+4glCpUdMGSTVMmHQ2NHkjot2KWiiw+frk2u0qAAAgAElEQVRbxNbjHPvIMPn5ZVrvXcefTHGtOojt8GGyN65ijerxeKYJ9lQppW6Rt3oxNWR85QwxFWrlNnK1gcmo5eJPFimt6xkft+IyW3jt+zGy9jEOPfm7bH/pr0m+O4dZiLC/p0jpF9cxjUxjrWzi8Wqpmf0M9vpR3D0ED9/D6y+8ycd/e4JusUElm2dkUIOllmegnsRYypJ0hEgYOugNBgrrXRTBhM7bwtbn5+4HBQbHhon7e5lvKvTuq2I2G7DVNaxcS3AgMoDLpIPtHPe4IfZBhl+8usrWewX8h/rZMkUITQ+yjwS3V+DafALfSJvJvQp7wnU2zCWCD/Sh2U2ysCny9LMjqKKK2yCTvLtCSjFgnxjhnX+8xerNGImIC0tYg96pZ9ak4YUX73DwfpHL71lpGnXsj9SolTRo9SIDgxUwlVmPt2iVVbzFFKmGSEA0EBzVYe1zkFrMULot43LpOfbYr3ByXvzOv56RqmZq+TqGvjAnTxqZHWhR8IyTSfgw+RQcQTvNdBGvyUFcDXBut02hu8WTp808+PQRfvrayygOG6mUgnPYic5mpSTXcBhk0jWBQH8vxbUCPrmJxQxlnQUlUydgctO61UTRmRG7NY5MGUnfWIGQicNPT9EV7cxM+rhydpWScxJfOECpYUAoJ2lqDUiVFoF+MzXRSb1qItnSIEhdfFqFih4C9ibNlEpK6SdYFfGZdXiGB7nz0xXGH4kw1befP/2L6yRkE+ODbhYubLBfhZgpzN5T91O/tYa3GkPEjtDp0K4o7O0f5OHHrLi1InWhQybboVir4/TaWJrbYnaoxe13Khx/6l7+4FsD+DrbnDWsktx7DPtqlry7QCY4RiI7wEziMn/zw2Hen7/AnOojJ/kQNRJhuYGoasiXZAamrRx6LsDF1RimLthGH6IQ7iel75D0RJhPZwiam0gCtL1hrKEM0UqGZF1gxCsyJqcQHRZqhRK2jp32mp6Vd0qMOCR0JoXhyXEMXg27DQ+TbQFueRH1hzlycIXZyRKr9klch5wot6Pk4iWwudm6s4uql9lzqge5sMXjz4p88P07lMt2TE4tITGNsbWIzyyxka5i6bGjWEVaaRFr2IfD60Yf6UNWjfQFM+yUk2RtNpavXWDiQC+mxTpOp5/snTQvX2lR0Uf4vS8OcOyTEVpuBd+sho6jTSccprkmkbpe5q15E8P3eBgNZuhiJnY3g3h8kEsLd7j+UpcrL9Ywt0VqOiv9fSH8gz52rqXRpWHPnh4OPDWObw/0SbtgsaBsmrl5LsnQp4/w9jU/wkQYpzlHu6HilvOU0klGQlpGj01j0WjQayxIkoZCtIjVrWdkb5h9+yLUMzLtW1s8+MVfYT/nG5cvnolb3IRDbUoWM9lbW8T/5Tbr5zaRdWYkexePzweNKgX9IC8u6nj00yFc7lt4vA1uGF2Yxsc4Yc/iEix4gzruLkTxO/VMDvhJbGhIChIuRcXiNtJOmVEqGnotvWSjZVz9eoRIF1OrjtfYZi2rcCkmsM+oEl1P0v+hCUpSkel9HXKxc8gdOx2PDqQypt4wgkVLfSuOvh7H6RcIOp0YKxZMgQ4UUzg9LtKxJuN+A169SmGgiyDrichRtiITvNWNcu9ne3DoO+y1alGHnDj3qUwk17BtVWjXtexaXZTXq6wEfTBXo9yQ2O8+xYMGO8VLeRpTAomSBVsuzTOf2MOFb23zL2+exXzBx+KGFnlWT7HRYfkn25jv6aN5SU8o42b2xjYX/utPOR8vMDvUQauxYzFZ0deatAx2yp4A5kqG6uYFHKdnmF/TobuRp1isIrkc1CxG/K0C1qkwjlk/eEr87R+/wOGPRTi+7wKZEYnVdT9er45YTcRcXmVlLsGD9wd47u8epdKUmT+/jtx1MRBRaNSdbLj/f07es0vOwzzTvKret3LOubs6orsBNBqZBEGCJAgmkSJFWSPJksbyerVhxvbKGoe1j3eHO2t71/I4h5E1HsuSR9GiSJMiRTCTAAgCINEAGo3OuauqK+f0xv2wv0D8Edc5z3nu+74+zR87Jyj84jGCH1xCvL6DdUCgIzcRY17arSFOTFWoe9q827XyxBMhnvtfXkGX7AR0Oy2jiOnwfnC0aTZF5hwCm/U2NqHO9KMDXC2ZcIdH8B0Yp9lv0J77Fnc/vI6QnEZ98zYhvxerW0PeUog7kxT3RFbf+AFHLEaee6lNQZE5EAZJWsd3cIzlxRaFtR1s/hpHPxug0S6y0x6kKOnolizhkSonHnuamYNjDEoKUl5nbb1A6ECUoRNj1EJhjKKXTq/G9soOgYiL+naDqNojl68yMz3Nj79RZ+pgCI/PRAONeluhOHyEzVoFU7uFsS5jHUzRcdtwKV12s+ssvb1HNOUnnzcjWQTOffZTPz+cf/nW7LOzF3ZwGGR6rhDd4AEmhoPEKdIZCyC5vNjqLSwmJ26/E08lw/HRMr/xzCk6vj4vP1dn54rAYHmNi9eqKA4Ju62H1Zukknez+GEb99QI7qqIs1XEYo3gSDvorW7iGzBTNevc3jMTd5rprlcQJibJvrtGotnBHTJSWmizfnubQH4X35ANW3SAPdkAbYlITOXCK1mmhiI89gun8Zo6yNd3qOVtvLndw7axhimQJKdbsKQ9VAot1vsaX3nyU7z6+9/hlCWM8d+bSDmKrG6omD/aYU+oEx1bpx8PYnKfpJ4z0+xmqHd0XluwsHlxluzGTQ51TUSXroEtzk2bhL5SZyTgolloIpnMeBMehn/PS8l7m3p5l9KmztS9MbYzZkYzYNlQuH37HW47Ctz7g2FMhj6t4jA1RUC3WNjLtjEFoly8WcUV8WIU3ZgVK9GQj27ISU5q0zH2KGYNiG47870arkkXM7/yF6yNBBi2vMuNegn5kgFXPkx7x4IakDidOkMtJ3D5aov2hMjkRISNHTvRCZ2L7+SpCSUG7h7k2svrHH71EiPlZbTwNEvuDcyWBLVmhxtyludmfhnHM5/jmajAzo3LRCIBaj0FMx3Wtzo8/84eLWuciS+Z+NJngyzlTFRIMHZokK335pE9Mp0BD7WRXfKj83y74+TR7hRrF4p4PV5a5R4mpwHfVJzQ7DJTfguvX6vx2G8dpbaZp9ms0li3YTDJTEx4eOrXUgSO+KhvSRgrBvz+NOHcEpHtBvmMl5jgol0Ec9BCRxS59N4tctkqmu6m+ZMl2v/yIWJeJhby4NC9sCfRVSx4BsPo1/MkzVVK2S7WuJ2OYkDBQUCWEXJFum2Z2lKFTqWEoEo4h41M7nczOBPhjbeq7MTifPETD36MsXXmZ88emDBh8jvwIlOu2VBiFsyTBrqT49Cy4na7wGRB6tUIeNrkFnK88NL7PPc3F/jFrx3jU/cf4d2P7rCn+rGofWyWIIurGvWKhG/ffvY6feSSxHSqx05W5dGHzyAb12luSEiqRGhkALPSQuxvMXLYic9nwnHPBKW+GUetSepYGGfKxYrdx9yySKmkoeyVCE8JCMkUVzdr/Offb/HGhxLmvAV3wMHdv30fg0fjFEpthF6Nj/YESq0yNaHGRnaU21sV5iq73A4vU2oqeKMhkvkks5KDUjXLveMzVOaMVOcNJD4zwrFxjeOuJc75i7zbn+D8ayqNhSsYzTrx0Qb2gJEbC3uE3E3sIR+BcSup/VW8qgn5ponTowe4qtlBr+ELu7nqSFN86hN84cdPcuEymFoJREcSsSXh0FrsEyt0tutET0wSTE7xjb+9Rqip0Sw4yOXN3P1whPGnDtG808XiBKMzy1LmNoNHH8CHg5bpXd796RLOeYlww8P+GQfrm7vslhyYAgbc4R5loYFBkFheKBG2KUxOJ3lwXOeeZIwrfzvL/8NLHEAnHwxQ27dHvhbG1asTv8eL92ycluKm8c3/RkILUFrK4/S5Mdvb2LUeB096ODhuR94uogoG/v6vdYrLNZ4e7RAIiSw02uzIdpbu6/GT0DpCPMDACyligkyzp2K2exHlDk2xRjTkY+1igZPGUR4/mOSbf9tBSYVoZ+zE9kdx+HWW11TeeXGVzSu7RIIuNEVA71pwmWOsz7VplntsKVGaVRXfcIqiy06s22VrVWGfWeCJB80cfSBNva9TK8kY9loMTvpZNkSo5buYA2bsVom+0kYXJKZDMrZeA0nQePRTo3h9KsNHI9isfWouM/lyiCVpmBc/tDJ6wsNn7/4YDaG3X/3Os32hi7XWxd4tY7eYyW60EYMeVLOHzlIZu6lHT5LZMTgQNImaECTTcvPArz7ByQMpXvnffoTbHSKlgE3vUypCbCqM1NFxGcyYujkM5SoHxk0cueswxcwmH62vQatByNpl4YMskqHFJ37zCDeuayhHnuHD9hAprUj9/RsYYml2NxU2t9sknV3OnHSQPDTE8mKOaq7E1OEgQ6PDTH/Oj29AI2ORufN37zP/QZ6mLJNK2xjzt7jrsJnjSS/nX9ghfdiHKPU5bLcx5XSjVqEjDXPqN77IfWMTWP5bGV/oBFtLCvaHUiwsFThz0sO7H5V4LzKI+EQJ7zmF4GAOse6lc3icBd2E211l43KfxLARu10jv2wikXZwb8LNtVnQnDr7Ylm8kTbKnQ84//U3WfnHDO6sitLR8HS79AsdwlNJ3tiWaRWL3PnoNkNnHAQSGj3RQb/QxhOSQdbp51p4Oz2GPDkmUxb2zr+G9Nz3uPEHBsaK4xyOJhH33FR3KmAMsh0wYA0biXibyJUCw2cm8EdTTPsc7K7m+HBuhW6vyuDONlIry8S5z7C5dRV7eIduK47V7UTrlPG6S/h/dovq+V0cipvAPhcG6jTpE7c1UCWNQtbBG9/I0TJEOfBLD3DmkRjRToFqVUWOJ1HEFo5wE0+9SmDPjPf2PVhqCk6HicZOBiXiwWjQSe5zU5AbjHf6mG0qc1UDlsMiIyftWBo19t4rsXO1yeiQyPTRGDtNIzaLiGYwIobsONNhLHGN8ICVweIcwXKekr2Lu17Htc9Lbk/E73dSqlq4/maDA/vi6LKCK6WTF3SMLgHfVARP1Ea3pdIzWjDpGn2bDaPFzLuvrpHbVVm6kqevh6hpSfrXGjj3RM49EiEQ6XL//nt+fjjfuXz+2b5bQJRbmM0SLa+PDgaUeh67S8XvEPD5jBg1HRctMPSRwimEoQR1XEivvE9lbY/YgMDqbA3JrGARLFT1OiMndf71735G22Ji6BkLT3x5FIvhEvNX19D94zibMSIjgzgOpFkZjXGzLjL/SpPlV3N0N3e59/Ehlpp1NlpNLIYe4aAZt6GDRZHZmW3jCMTodg0ISo/Fy3uYdtrYJAMOrMTGA+wflJm0ldm1+NgVwlxaziDvlTDYwmy3yziVAsZylYfFJi0xjSPl5gffeJNf/uqvk/UZWHjxfVLeBqGR9/hZHbYsR5mveBnzwEx/kfXrOgZdxOdwUe9lUQI6+08HWF/pcet8loefiNCR3bgPpbn0F1eYHB1i+6UXiJc+pG/rUcTEmbMJHnl0kJZDpd8yIJh6NO0u1JEAPclC0ioQT1kZTFtoK0tMTsZYXtA4e5edzA9vM/npNJJniMEhAb9upFDT8TjMJA6PEoy4mc322EwfoCWZSYw5ObRfxyV30TNFbJYpKtsizS2J6laehiQh+Pss9lv8ypdSfP3F71F6ME331DrrBj8NwYqitUkNupnTPUgLeab32+ju9Fie22S3VOfanIm3+xPEhr3cs0+lUPNgDfRxJPx8cEuiXA2gOJLUPnIxZU7ziMNCfC/N7DeW+Y27Qyg7JRoeEx5nD+v+Udx2DxuLWexmK83aGIvOOL2xCP5DCqVyk63ZGlGDSnTaRFNoYRUNKI0mfWOXnk2lm2mj2G1ks13spTJfeNSCPVej2qtQrTSRdSNdYwAh4SDbVwnnbfy70W06mRq7A27c00G2snUcux3UFuysN6k385i7BhyTMSpZCVO/TzLkR++LGBQzddnKQG4NdfZ9xsMCvW6de+594ueH82eXf/JsIS/h6JqRWhqmroa928PWbeEwCGRbArk9mUZXpSOZcE8MoO/uUr21ibXRpTqXI5R0IykmsIpghRFrH6lhpdEp84f//BSDgxJXMtu8/9G/0AxXeLV9mKKcYPjQETxJjfzsHTrVKnJTY1iyc3xE5sR9aW5tb9P3tAgnZDSbgtsepdrXMbqDmLQaSq2LLOrccziMPw35jgFnzIKz0ac74CHsU+hv5OhqHnaW8uTtTlTFy+K7DQb8h5mJ1ol2YrjUOLVNP9m0lWED/Liyxa/f/WVeCVZ522elcc8mA/f1WfyHi4w6fEylRAS3ndx6jc3lCFJ1DTlgwLovhmtHpqr7KXfMtAMxlm7uEcLCn50vkm5d4NTxEPH6IrJkQ04IOBSN3aUmNlMVwefAGnDiCZUwCipBxYdQlem6jRj6bYwOE+pCicUbfWybuwxRw3owxfrlImJFxtORUbcUXB0fPZIYpB66P0ZiwMlTv3yMnlbF0N8ipw2AI0Qw12VkIkxwIMZ2o4qiq/gGVRJnBFraBrNzDa4umBgYj2ONhvD7/ewsbuHa26W60GXCYcK2s0ko7sO7z0PsEwe5O60QWVlnwK5zO1NhemKA1p0P6bgSNCpG4gNTWIoeLv+9jV/+6kPceXGe957Pc+ZXP4P21jv86K01WoERxux96rcqbN9WMAp2vPQwhUXK+2u0g2X6546yXp2ivLRHgCqtmBnN0qUpO7DZLJi8AqJNRGk5UVoqgieI3yGzOejgz35SpxW28bXffxLRaiLzfpV6RmPAoJM4X8aJhZ59jLc7bSafHuHii12OmkyEvQr+GTf+/VYEwcL4TIjFq7vYI1asmhGvUSCW8KHXiviiZkbPzlAwu9nOZXjs8c/8/HC+9pMfPmszuBC9g/S0Hn6rHSMCeq9Jdr5IMBTEF7Zgs+oYzWZ2Wk5S5jwjgS5Ru4rscKCZZfRuF73cYCDcp7+Q5+aiiM0mUXzzCv/8zY8Y/4OnMN7VYiQY4eKaD1NoiuVXr7C9s8HkYTflTp16pUHbFkRpdtE6de70d1nbuMr9n0lTynfo7WQJxY2obRmzwUp0KI5+MEo7k8dpAXffjMUoILZN/MuPl1jsJyiOjqHZBTQDuNJGxvaZSB5cx/t8Hqm7yOnjCYSgkX36KheMHXCM4iv9mKP7/Hz3RJTvH3yG1Ve/wfGZCtdXB4lXbWxcaRCOdZl5NMD9Dzix2LLcrPRwHdqPS3FC2E1xvE7WUePaxXmWzy9z6v4IjsVZCjd7eHeyFPY5qSRjBJUGla4JOW5DFzTkdhVzuE1H8uDRCjRrGexpG0hRUAvUJIH9j99N74ObWAobOFWR2oaPjVdWMS1JlNQArbaVbq+O6upgsNqxZhW2r+ZZ2mpQdI9zoXcS3aKwfm0Z/+H9xOMNWv0WfamOPxSk4Ejy0lyHX/7Tc0TuzLO9WGfwwAjrmRJGex/V1SZ4eoy1zDbtVg7zRJybWSPOVhfxv36X/Y3bnPrKg/zD+xL7P+didF8KsWdj6XqBfYdiuE1u8lk3v/Z/HUHeWuX9+Ts0B3x4hmEz50UbDTHlqLErhrAmBhnS20wENewlHaN1myc/X+Gvb+ksvtDjgWgPTdfRElE0Ucetd6gpIns9cFuzYI9i64bpr2qoqhMpJZHZFEg/kGbu7y7x4Zsl4kcP4RhIEigs0Lu1TvqxJM3pOB+tZEhPJfnOH2SZno6RlSyUDT3yJo16VyPiEuj3DVhdDXS5iwUHPU1EsploG0R0SUdu9REccP/Zp35+OG8+f+FZX0Mnt1Sla2hgarcwmUWmnxqnqZopZvtIrS56R6bpdlJqFjBEVMyCg2ZZQLQZ0VWBcteFP+HGkFlnvS9TcxgxJlOoLj+hdIrcrRy9rRb5zIckFIVR0UHM66TW0ihle5jcXnwOKwarhGA1UpVU4s/McDBuYuEnN9gpiex7aJhCaxt5u013cpJSRiKzVMNrFPDsS1JebdC/PUtD1fnk3zyN4OlTadTR+lnyUppAv83afI7BUxLt59c5Pp1g5Bc/zbfXRJLqJrorwrrlNNuTT/HV97/LleMeMNtoW5I8UIgirBpIuWK8Plti/Z2f0bu0i1OW+exvpCmv7bD0XhnBG2MgpdISWowbnZz5wqeZnohhOBDn3kMaiVgKXQ4TPHmSraqDnXwEny5jrWuIogkdDw6zHduiibWSAdkVIuwWKF3IMDk9gBaWWbq6Sna7wMjd47TLRvzBPg5Xg5n7/JSDGprXyuiowFbVgt2bwLpdQhB0lhQfDWcEr0MhJi4gBEzsf/xeZm9tsHh5A1fUSsmQoNLWSB7ez9rsCrHNOg//+lk+eHUPTCVGD0R57a1dJifcpMY67GZaxO45xfKlOmNOC5bFt/jsX53lb/7VyIVCiOlTQV74s5u4mi0mHk/TlzMsXbvKsS9F+OfnnuP27HM8+LVpdmfXcft0Juwt7JkGNsnMjbKRgLNCMJsBu4tdxwyWk2M8OFHm0p9cYMZkI23J0zG6aDVbyKpO3KnQUG14ZBOxYAvV60XelYkknJRaKuaITHV+k4FDUQL+MFs5I/vCdk5E8xg35pHNOutmC7pBJL8sIo14yasGhibtCHoTj62OUVXpyiBnZDRRwWhqYzH3kAUvPdmCYDdCX0HuyVgFlWLXzCOPfQw15ov/9OKz3WsFTo7ohE9Yka3QtnWZu7xKcCKEqpgQomYiAwGMJnC5q/TNZXrmEIGoE+N2jnYojFEXMZSXGb63TMXYRD4eY2g8jeawI/RyyLqGdcTHkXsVzOFpSktgze4hpZwE3H0qW3W6JityQ0b1hFGLddruPi5fGC3fQX/6cdrNPtuXr/HwE6dZz0uEpB1cm8vEjR3a2ghOPcFTj8VpaTUuvl3CberS2a0xYrYg3RaJxYpcdmYxHLHx3e8EcN4p8/h//AyFkz06Rpl3r1SwHbmfV2YHaf3bB9HsjwLfg3CLd05tsvL8Kl/+90dxDAdwekz8D5ky599f5/4vHWN90s2M5mZRMTJ/q43mHsRcK3Fnr8HhmJN2TeFTR66zPF9CTaQQrS0azQJpYxdDu8DQUJiWvUZZcCBtlThmU/AesGBwqdz71Axr31rkzq09ljM2vPUMzmqOsSMJ1ntRlO4wQ8MOWrfA4REI9gvkVRNL57fYfrPFbq6HFtTwW6wMm9ukNq9zMCJw4MA0f/HkN+huNpg+5sFra9Fw72furT5jaotErUxnNYueHmS2aMRmbpKIVnH67dQ3djEOJigtytia0NhRORzpsry0zcFPPsB/+sMr3Kl+wNFwnPLhTxCYCuFwdbm8WcKVdOKV+1TWP+TwUZWC102rn0XyO1n4+5tIeyaGjwfJVZqMixXS5g6dvJe6aZiCT6f203k6zjFcAR+NtoWYTWAkYGNt10dtrYClo+Po1dnIKMTG0pi7Mp29LmabSKyzQaItUSlVOPapYSJhB4vnt7C8cQmpKnLLFcN9dIR9B1xc/NEu/rv9GDwSe402VkuTZLSLbHTh8RnxmXUktwdxs4nTaMPvsCNYBdpCA9EAAhYaTdCMDh5+/GMU3z9cvvnsnVtZfEEjOz0BUyTE6SfT3H5hgWgyQHNdwedSEG12Ls63CI2ITKe7VCsGejtgkYzUVD+5HRMbGwrjT8To9hVqPSfRnTqlpU2MER9iJEBU79Gu+Ji9OYngCjNoKhIyCch9I1Klid2TIOUQ2VP75DernDuaIr9iZuXlLWoeN62tTdJhGwFThLk3byAcP0zFFseUrdJbdzLQ6TP31m3mlQLVjAG3M0zQYqCxbaArOBHTVfbF17n5ssxx10FSp6M0gouMu7NkVhSSwj7sKZ3Of/0R8i89x2nzEiv0AYFPHvwq/8e3f5+f/M6PeOvmfsY/8Vs0Ng5x0n6RiavLvCQ8RGlNIBuJEbnLjG+1StQWZ1++x1ahy0a+jLVQ5PkXCtQrDnZlmaqok8t5iDudeDoSVXuAgcnjPP1LX+beex7g5ecWaRirfPCvRcJH97HvE6NYExZ8MRN7mRxyWeP6ssJqeR3DIRdXbrkpdLcpbu5w+d02RwbCRKtrRA73GD9lYGe9xl65yCFfmVohyJ1/qXHfSJV9IZlarcOAucTuyjKlZhfW1hC8FqYmVW6+uUTwkB/BbcFlkNhaqVFuaNiKZcaPnGH5SoW1TohsxMJiWeer//l5Pvcfn+HTX3iAq998B0W04HX3UZ19ltd0hqQqqVyW1IkQxiPn2DCCeu37BIaOUrlWZuwTYYxeO1quzpGYi/KdKq2bJibuM1BcztNQjfQMChFRweUQqdYNVLNFlt/eQvW7qBd0fOkEjoadpeslDp7xsrm5hiNhR6pIbJiSaP5TiD97iyt/9BpbR84QPnsIc63KmRk3uWyZgXict16+SDfiJlHIYsCO1W6gr0l0FRGzUqOj1hCMfaRMm72cSK/dJDJgpdlS6DdNmDUBt8NA26jy8CMfQ/D1xuVXn5XUNm63jY49xeqOh85em9KVDaIGJ66aTvzAMJe3NN654SVusyLdKLN1TWNj1U5DT9Iy+mmsrOMciLC1UOGdb+SIpMZxKDrJAyHyZRHBbMKb2WPv3XUO2GO8bbyfWipG/vzrYOnQ8bmx9avUdlWc43Y6osr21QVyy0bSCTepmTBHB9qY7FbK1R7O5iJrg8cwn7gb6dJVDksyY7rAntZCHfWhBxJ0pD38pi5IZgTBgCp3MawbqdYdPHk0zv/8e0/xysvfw+wN0z15ktdvdrmx+gH/+Kd/yKtXfgiDVRSjC+nyF/H9cQG/mEKb8jEopqh+aOKSZ4j/+5u/zhu/9bcUPx9DNGaotbscHTPR3iygGiWk4g6moShOxyD1toVPPh0jGFbxzETptVYQBz00jyYoy36sES83F9r89Y6Tm8Yclfl57n1omnfe+oCiy0HT3kAo2ChrKsmxMNP3phHcdvYf8jPkUXAMJkFSUSUjwycTnDobI5RoEyPuTs4AACAASURBVPrCWUxDB1l438qTnxRwbV/g2laO1XcvcXQqQ8R1m07BhteYZ1+rQnqiRHA0QtHTZtDZopc3IbRg4XKOnmYkNj6FGrRQR2FutsPsSxsc/fw9iIMqqYeDPPmFU0RTaW7+dIFHRu2kvX0mTQ1uXWsxEIkTNLXIyDY2iXP+x33+5foM9x0S6PdUTIqV9PEgVqPA8mKD02Mu6nf2WF1TsHz1EVZWljkzrbNS7iJ2faz1PeRLdsLSNl/53Xv40m9PsXtrnd2NW5wb9jO3VEC2WQmlQrSMMnOLNZoWLzHnPvQ7F5h44gFMT97Pg6cnyT3/OqHiDu7BAE1C3Lw2z92fGeSkaY+8FMcbCWPp1zE7TTgtXSyRIFrbSjVfwuq2oKWs7FQEFMGGLeBEkBp029CQCjz+xC/8/HD+9L+/8GwobsObcqP0dKw2G57iLgN+O8INM86mQNYQZdXhJXosTtSdx9Tv4IpFcfvc2AQzwWaFo4dUDh2zcDxtwe5LYIm4UNbXqPdb3PlIwprL4dLMDCYnmfYN8sfP7lI89yuElt5iZqBNq6cQDDkwKTaa+TqPPB6k2WzRulEmtP8kjUybzM0Gc/N2lArcd6hDRNA4NRQjWaggOe1g0YmNB+j1GxgCYdRGg67NQVGs0zfuEFB7bFww8sHCFmvXJUaO6qSTx9h5JY2/HWTCGMG5v0X12hbVv5QZ3TxN/iePM37jCKd7MUoLMnoiy8BainOeYXIbAb50l8j73/w28n4TG5UKOyWVhNmAao7g7PVx97psuzUOudvcuq2R2eizstQiWzRgUTskXIOIapdC0U7JYMGMldAJK8O7L3O4nWVh1sDQkUHcXichWcNT7WPRdPzxBDfm2zhsEgNhkVrVQrNex+8WiQ3GOPDpk1zNNnhvw8/qupFX/3GBiYKEXZsls7KOOD3OYUMBc7uEOaZzSTjF7K0Vvvx/Gmh6baxm3NwsXycy3KJlcuAxJ3AddGHqFyhcWqUtqQynBcYP+zh3lwv7ZomkWaOzK2MomVlZ0Kj0ZWyJCHtNM2q9Ts27jzF7BbNqoDKYwNo20Gva6DBBslNinwdMxR6qpmBXzTQkJ5W6HdHnoSXGMPlbeIUGuZUKzExhXVvgSEoh5k0ROXmAO3/7HT767W8gHnEQPRilmVVw3zVCu1nDb+wSn/bQaJQJW5u0Mk68J4e5dbNC//1buL9/heGDAVrzDayTQXJFK92qQk38CIMkkS0PUZjbxNfpoSkqtVqPrm4m5HPijRtI7BdRbREKSwaSdityv4wu6FRLDaLRGPed/RhS6QtvPf+sKWQDRcJQqpNOgKe8hdhrs1534U5b2ZF1nNoSsfoc3UIFxWQj4HcREitomoGeuYzZobL47iY3F2DuYpt9UpV7khas3gEGwhbujboYGP80D8zswyFIvLdkoCmm+OSx2wy5stSMGu2OgVZXYatYxdjK4dofx/jWJml1h8BhH8FxoFbAmAyhe9MI27OsvPI6869c5/0PMnzz9V28C21sHjt7E056r7+MkDFRtERplnaIhL1IY3HciTYW8zi33lim5hrmaUElXjazOS/THu6S8agcNveIX75I8GiQiseJK2rk5LiRZL+G9b0626VBntq2kErlubGzxdyj69yYytI8O8ymcQBX08tKTyZptRKywOq2wLEBgYa5gBA10JzwIgVs1MoWNusKJk1BtvRxGuvI+jp6bwHNbWJp7Bhz2SY+q4xXrLDVcdKx+QjrEiu3MhR2RZrFBGbZRnBMYW/Lxt5tH+f/fItm3EkqpWN9Z4u7vnwKT24LV+91AjMB9vxOEi4Jq0thd0ci4z1KUAhhqXeZW7Dw8g9MPPO7PrRejsyeE7nmZU81cO6pAUbHgxRLCgNBDxs7GQaDIaqrezj1Oj1HAMnSY7RxkyMTZvZyWbqRYQb3m5DWmqRMdna2ZQzmFsaqHXH7Fo89YMa9+SoVtxep2GJwyMetJTMVkxXRB512G93RoLl1BYulR1vWCY7a8M0v0ZvrcXVtkJXw47SWl3j88z12ezJtl8CWGmLb4aY1W2ZGb7LedbBcFpk+EyS3vsMqRZ78tMoXn7Fx5Y8uUspm8E4HqTdb7GW7JB4OctsYo55rcXJE5PRojhFng74moBQ1mkst9nIaBkVHqlqpvdHFcqPM0ICR5EGoG2VEs44gCtz3wMdYpbz4z+efrZtSFBcL3Dy/yPiUC1evzYJipXBwipV6i+WuEQc1jG4rNp8XVTBhNZtRbCaCA0bubDewuRuMHHYhizJnj9gZGRWoG+10dQe2tRzj4iDVdQWLqUNudY3Q+gJP+Hsoch2TPcRuxkI712et0yH8wAQL/RjDqQDHrm/Rut2mYXSyuDVHNKDij7nZvTVHu5+nF1MI33MY4+Q0hhE/zbQLbzrM//rZB5n6wjB+c5ILuzLlTpk7mxXy82/zb560cP/Dg8SDIvmyh8HMAF55gL3lFRxHbHzLmuTXvuhj5No/Ua32SQ2H6XRb6IuLnJyeQIydQDaUMHRWCXZWcIRczG2/g3i/isNowVszEm+VYf84xZUie5pE1tpkoNehrMGQXWXM38TndtHrKiSsfVBkFuYLlCt7PHx2gm1N4U67jvHhPbweFXvZjib66dlc+BoVzPUsalDHltTALLIxt0HkZIw3V5xMHjqAdKvC/qdDHPjCMB9+7x2c90aoagbWSxqD/hkaVQMvXR/FNJgmfnY/27NtbsxauL6kM/TEFLrNzcHT48jFAGPDB3BuFLDIXt55v40tMISezeCyOimEJljZFBkc8NAOJbm51+VA0MDmO1dRA0E0dwzLUonOkJfq7TJunwup2UPSDaxIUTyHUqQcHS7/7CLBAxNsrrWxFIyMygXWbu0w6nfgtBnpRTxY/R4EwYWUFzCbbUjJALcUF3g9bJ6/wb/9VRePfC3A6cee4bWfFlhvOTAEHAyMB9AaPRbuqAxFIoiSRmwyQKvYxNpp89aP1xmcPMjp++Jk7H42dD+OSIvHvnSUW8vjqNY46XEHF0ouMoITxWwnZjdiCbjRgw4Ek4iWkUitbxFIeNnOV+nYwJ704vF7UHY6nH7kYziE3nn+5We7BjPJlMYznw4QGHORu1NmA5HZVpdwpM7RTx6ikPRiUUu0WgYOuFSMnTp72wW8QTOC2iN1v4dCrkDcojFg0dhcVAE7/qAPQVapb0sI8SThuyC/vM3Q+CDbXTf/8IN5rl+cZ3a1g98rMLjPzdxiE901QUiu4PloGf1ACuO0k17MgCfkpbWS4fDgFilHC8kXQdl18dD/6OU3H4nhHtzG0HRy49Yul//fdV57q4Ryzsu9z57E7W3xmelZpiaL3F4zMhNJcfOSxmZ8P3ljDzXco9iqszTXZeaEmTeuZbF6x9i4XWT7NZVPPPAkC1tbSI1Faj6J/qrMfN+JPuDhw+0F7vnqPlbqeVymHlNSgV5DpLlZIeRtcvd9GstvWdhpRfngB8uoMTtXlwqUb14n6u5y9NQkZx89wMLKIsa8m05jjuEjcF14g4cSLn723AapvoxV6KHsNPF2ewhHxxg75CWeCrFztU0kLqI63PidGWpzH+LZ7+PGbI7u9Sozx2McHBNp+gfYXczQ1nQC4z6+/+M60cQIiZDK5373UyzmNSRVIDOXIfRWlu3zG+i7XTyuOorLQcbrQyr3iVn38CetBFQXty4oaHY/XWmPkcMxeuUCfb8d2133seDsY2pL9KcECnNlhu8NMzk6yIbPw1s3NJYWG8iFCsP3eHBYBDw2N1rdgMdhoD+cQijV8dTW//8UgTKtnTLaXh9T0EVwv8jI2WESQ8MEyleIiJf41l/O0tkNs3algz9loLS4wX1TPtTTU/zs2i7TIYm1OyXCaR+z5RpyY4+hY24cFSh2VOY+LCHYVQaCItuXzDQbNgqbHQSvwJbooT/iY7emYW42ECwCWHQqHQiICiGngV7YjOS0sjS/TbulE/RYMHXg5LmP0RB64/WXnrVH7UjGDnoux9ZyhULXjiEaIeo1E9Jr7F7JsVPuMXHYSk5SaO20MOs6UiRA3xSgtdXF4K8jtrpY8dGXBa6WbbQEmUJpiYrJScfexJ5qcyNXwtA2stBN85PtGg/8h5NMHpY59pUpsrUyfo8VoSkQscap/ut70BFYSSXRPDaUbo9WxYUt40U19qgXBeQdlcp2lFe+X+O9n27Q6Q5QbmoY394i6bXgO6nR8hRZz/m58VKLuxM3aJstrPWTJIZmEFdXiT0cJV/MsbO9jT9lIu5dIC12WNiGzVUHxyeneNiqc1/pW9jFD1CPj1DaW2Y4MIvr7il+UDpI4sQQ56QijTf7nP9rlRd/WKAwm2Pobhv9kEbYH+SvfrWCYSKJ90QU15E0pladQw8lsIky77+Ro9Z3sVsuYjHAxBEZZ66N72CRzqadajOIvRbmtuNhLuc8HDrip1dW2Xyrxuq7OfYlPbgiJsy1bUqWPoa4C6HURm90CR13MvvBBspWl92ugCPkoN8ROPMLPo6civPOD2aJJHyUijXKu+vcdbCN0SgyQpbRJ8bZnThBtSNRvdbh0a/cxdv/cJVDaROq5iR7vcVY1Itkt1OvmzAZLYTH44QOJVj/YJtwIkVm4RoTU00OHhrm+osSr/7WbT5zJsyXHnUTtJfQOjXMDQWzVUQ0dmgU4IZs58u/epzCT66yk5NwhcOI1SouU5Dr6wqegTQVpcvqTpcbP36PtknFmLTgTI6zu9LAbDaTiLgY6It0s2XEiJNo0oFF1hH9dmx+L2FfnaDFS0C1sf3DFVz7EvRFHd1pZP9UjDdfz+GL2Kl3wKhUmdGWiDkkJNmO3WnA5jFhNWi0DQ76IQNll8AGRmwBC76xCFazGZMBRF3gxIMfJ+dcevFZm1+l73LjsnSpNNvc2dJoLmUwOj1MD0PEaqQvFKiUd9lqmEkEY1hqfcJenU4wTfiu/Ty08R79sp3tLQO9fpETqQQum4u7x4JYvW165R7FpTYTB6JUKl2MkQYH7w5S6S6yVZZoan0sffBanBjtUbT8BX7vP8SZ/rUkBVFiY6GM32bCbeij9hXWtuw0du24NDP9QIKBu/aTGJBQDRr1ZpfQPUdQrBJixMCdxjo2zYLXO0ocJ+331tlc34esR9H6BjaUCpEjAS6/UCbUsPBwUmHhaoyr32tx7wkHEyfqvPT1/8JTXx0j+Itf5lt/cgXbVJlbHQOvWI/yka/J8bSdD1/9Ge8tdTh6/zj7Twxx6IlxeqoBQ97G23/Z5ExugbOPgTMaZvf5ObxLy9RqHhrCIGpxkOhomsodGbGXIGoycul8jYO+IfR5L08+8CCZNZFsL8XyHXjkbJrGyk3mfrREfaFOe61DZHIIbeQoq9tdBjx+0qYyjj2VwYfSYDcjmH0IHjNGu4Kuabz5tgmnAQ49dYRuWaUk9kgeilHPSyjaEIaZFNv7zLzZcRPS+sz/83s88kkbkiPMrW6HTVGkN3KAnmpm4d06935plMMDIje+vcDSfAODo0Q07UVevsiJ4ylaew6GRg7jzeb5N699B/m/v84H8zK1hJtQMkqt1UUcTLB0S+LkwQFmGuvsfbDCoiYQODzAymYNzSESPR1iIGTFKpnRqiVUTWL87D6oGehvGDA5DLScCpk2mOImhiJu2nMVKle3CQzYuF3Zo+bp0G1WwTROcVeg9t47jA0MsNDw0aqZeGhfjNde6DJwvwHDFBw8sst4YIOFBZV4Ikmz1mXrwx3yWy3kHhi8DmxBD/1mmbgL9go92gqIFp2as8/Z009/jLN26dVn28s1Wg2oaj2MA108JwL4fGHsDgeS1Kfi9IHDhqZYGIza8HmcdJpmdLcJU0thODqM5YMOyGAZHsQeVkhiYfcjM+srBoKmBhwdxT7Xxtgzcuyzp3n51Q+IylmkmE40HkOxRmhLBtKHonisGi6HjlzoM/vcJu1NkbHhQRA6tHJZuo42yUCP1rCdPZ8ZS0zgWlmhnNvGXK/j8/tweixsza1hCYnoB49RW8my+Hfvcu1fd4lPDpH+hRNs3emydaMAE16+Mh3hpT97DmvAg27PUnPZCRpN/ON33sP87N+wVLOy9v2r/OSNGmvvN5k5ucXIiJs//qNtYr4Bfmf0z/EN7HDTdIjD90Y5OJwjfczM6oUseltg+LEQ64vrbO6VeWVJQVRK3PVYnB3rAM56H/NSjtzmDpm6Ti8gMRVys37JgZ6dYu1yC8elOmmzH7HS45EvDpEozDEaaJPvbBB+KEbnYIo92Qb0cDtaaIUOVcWGyWkj3yujFDrIip3IWJB6dRurzUKg1sE9ZCVbMJC5skpw2ImhpGCwiWhGyBhdLK9AVLVR3moRUrwMhzuwnqc07EMYq2MKaXQrBeLmXeSghC3t49biNgNJE7ExjV5ewVFWKTpP8/aVJD/9kw9xZvZISwV2UkfYO3eMlqlFPCBSXtvF5/FjWK+TOhhBlcy8+mYWYSqF7tdxjCdxuQT8AxGylzM0iy1qArgGQqi1Pv0LHzFkytJyWjFm28TdAvlWi1LbR35Dp9FUmP78GJuVMiMBjex8j43lJE4hwMmeyuFPzaD4/Rg2lhhLJmiuZDn1P02yPhKgvHMVX0jn1fcd3Hy+gN9l4MCpFL6EAblUop5r05FaJFJhPEEPkqQjGGXsZhiciXF4/OzPD+dfffMfnnWZ3DhDXqoJH2ZjCbVfIRFwkFcsmNsGmmUds8dHoSCQFEN4iypOpxXF1OPcIR9C5gT6pW36EQvXixacN7L0v7VIZ/42311+j6XLawQkCFYcqJgJCBqGMwPodpXAsEb2rTKNLRmf0MK1tsTSLZluz8HSgkypEOZDycvSUhnNKjJx1EtPcRD29zHZwoREM918k3tOpxlNibQ84wS7NbazVfxxB6VGmVbTRzzu4Gv/5TPMnB3Ee+YY1y/O49/vxd8Q2XJM4nh3k1Ppl+lej+CdinHhMug3F7jQX+WD7wocvsfJ/twbnNjXZ8rZwOiuci7p4+vfyXL0Uw5+99EqLyyXcY4M8E+/f5HZH13F6PBRLxtRCnYEmwnXjIeH/2SaT/76w7SNVrbPb+OqNYl4LSSDdoRUBFMLvv/td+i/3+HcGTeWkAVxyk1Jt9HPCtjaewRGFG6uz9Hd3sQ8UmfwKyPYkjbG5DC9nBGt0KZksrHmVljeraEEQ9gsbfKZHMGUhidZR14sYFHthG1eNkoVtEqDsA9sGNnS7VhcXUpqDY+1x6HMHG+/tsLXfjfNY+d6YPbwkuBmr7bCzZ++w/33HmNyPMnOfB1UidjUDO+/eBWhV8YqeTl47kF+599VcMRniO6HJFksxwaZ7XlZKcKJk25quTLDjwSx+Tr0BQvbG33cboVbXZgYc1JqlWhUGpRvLeEbS9PZ2WL8ngTLfT8bLRtOqwGl1oGgHcnlh55Oyx3BYLNQKYtcnK9jDTo5/bk48xkbdrOLQYcDw+ghDOODmHe3ODbR5qd/vkzca2csNUphx8lKZ4sNj8bWXpmO1cqJJw5yNuXF69nGEOxDuITH4SR19zB71Tp7BjDZRZqyEUE30JWNLK+1eerhj/EQevvWc8+KPgGzp0CiW0Td8GOSj3HjlSLGdhWfU8Bgs+FXdHzmNv2WFYPWxJwCvyQw994cvq2beKc9bPRUYkkz+p5K4BfuRx0E5ymFdPIgX/1olT/deJKv1/8T/Pg3+a3JFHe+v0hfipB3VUk8PoxblsjaTKhiBbOvTSDsp1nIcd9decYestBNK5TqLVRpk9UbDsrNFFrdic2iM2l0s7ZVx51K0dkrkrJZaa7W8R8Z4ylNwmF/jR+afsql0TkuiV6eNg7z+cf2c+uvP6RuOceMaYlTr8/y2tDDCHKNoS93+d+fVP4/Tt77T7LCvNN9qk6dUznH7q7uruocpidnYAZmAAEDCBBCyQqWZNkryZZ3fb32tb32rMOVvb7rcPdj2Va2wAYJEBkBAwMzzDDTk0PnHKsr53jq1Dn7w/0Llj/i+/m+7/t53offTlzlveoB/J/z8Jfe5+moJ9hYTFB9vsjVWi8dhzt5ssOD09jJvydL7Bss8NRnbHz1M5/B2+xgdb2G5jDS7nUSNpoxbWxi9MyxY1eEWnsfP/y5RsYd5b5BgXjewkwF7nvQjeRucWvvPgbviZC+cpXRYxKJVIWW3UZVbqF0+mjYHNCyMxt3sXp1GoOpCTWZVqOMc9SDJXOVmqdB5ycfYm08x9HDXaSni+RKDc6dnWX4rl5W26MM7gixZbXy2n9keejTXeT0JhySDn8sQ1VXwZPT8BzazvztIn/50xLZ6CCuvUOM+HfhWJSxJXJcT3ZSnF1m/0CJD+cXKdXt7NxzhH/9w1d5YuIMP3zgeT714guYViSqNplyn5tgtMnd0SyqsUVitYW9s0poZ4TrE3UGb2/RHWjisOhJ5AQW7NtZHq8x2Ghia3fh6dNj2LyNQ1dmZKeR9uI8hmINfaifvOxGZzYT7dPjKGWQBJWQ00XQaMUeWyDQ62AhUeXAwhW6pm5iemGcBFXcB7oZv2pjfauHvn4PF96/QdLXw+bZJb7ysJfivMTVs1kWb5XRDvUxF5PIbinU8kHSBQ2r0MJgKqJXajg7TLjtJrbSDTCoPPqxwPfxn50USyVEXRGd3UWmKqI4Wmz/RASfR0IulMnndATaW2xMyYiuELWqgZZYwL46jU+9inuvj5fPNfA5m6TLNbKpFJqmsDhf5JGwjs2XJunMh6k109gDN9gy6zBnV/jUU2OU9HpqNpDyG7RqOlKmNjzeNNGeGu19PQjGFmoBZq5lMbYHkUxWLKkqLusuDhztQFydZNcOK3JXB95uAUM1zWoBOpNZfEY99ZAHkW4Su1Q2d97mljWLzlylb9FC3/ZjfO7XP8RmuZuvjE0x88uziJ/5Ej/+/jU+tH6Kt58X+cadMa5GPkFz6jR3LMdZe7BO8vvgCUK+rxvvcJT0NiOxzVUmj57gl41hrv7iAxZOZ0ktltB62nn0s13ELi5Sadn4+4/yZLNOdBcnsaS99O0L0tFVJBEvouFg1aohR3vwBUQaJT3L78Uov32Wez67nfdf2cBx3E3dWaFW1xBk0EUjyEqenjaRlKyxavSBsYQW0FNxNbnzcwNM/Xyehb9+n98/7qcvu4nRFSJ8sIfJU5u4p1Z4KjxNqWFguWJiLGBisfz/GxNdLRvF/AqetIOkU8Cj5Bg5EMVza4n3n73OQqnF8d0SHlsFayiItZEjsdrCOmBiK2MGl4vu/3YSTX2d4cIGy1GZ09konh0+FFOFumomvpakpDdhklTu8wlMnSnha3WiVHRUWk6W0mU0r4BpW5SdfW46XQWUcp1iUyJV7aRUFmipdhp5hZpgpqgTULIpFhcbFOYr2Bw2Cp5hmrUW3bYKanEW714XRa2CzmyjJzpINu+l5Wuj2WwxFnYh5yro2kwst8pUBysY0NHbbyJeUxiNtuGKeMnO1LGkwKc5kTQFo1nCYlBprjdxOD20D0dJrFSpNBScosb9d3+M5nzvwosnddUmSrbEVtZJeV2hOJlHWy+xWhSxBPxU9QYkXR1Hy4ucWmcxnsSwrRstFMHeoVJdLOMMD2OVBESLjBS6A0Ezomwsc8c9bez1+hmPaez6so6Hv1zCufceCr4D/Oj0Fi+duoWvU6WcqmKrqejsDpR6nOWpFW6fyVBfLBLtFvF2ejDbdLRMdpLLDWaW2phbFBGbKvlrS2yutdi4NI5cy+KziUzPOpAMeiYI8j9fbvHifIniA1eQVY2UUOfbVNin+Pirv5P4tX/6JLXFj6ibS9QOHaS5sEC1o425xLMEj+9l0ilg77TRWzzNYh1+7xJ89Wvfwl5d4h63ldR924ivG7ldkNGaJdofdjPcGSTQHiQ2USM1l6c0oyDu91E6sg9xcR2fy8GdAx42bl8mKGksNuqoTSNjwy2ktg4MhRod7SrGdIaqCtZHu1mSbxL4HQsrmQLtTQ27s521GqzNb6HN10Dnxu2z0Tp3BptNZrWSRTLBjalNHvnKEyzNbtLSFM44+7k8XuHGsyuc3BehZ0iiZHQzZxdpzC8RbDTwt5Yp2T3kAi2qVT8tfZZmXSQ4KJKYWGH3sWEItnG0a5BX/vh9Nta7ufOxNvK3E8g+hY6GwsKKgK2jk7bSn6E7DheO2DE+/CUaawtsxRTatnkomkxMXKkQ0FnoujvMWx+s4Kop6Nvc1DBRDUo0azo21sv02W0Im1kk0YO9y0hrPY1roJvZuQz1TBqdZEWvqrh0KaoeP0GrCVOzgkn0sDaTwhD20gjYWImrzC2pBEsq0XiW/HwRbThCqE2lx2ljddWIUhNpTk8hHLex+tp1OrerZG0NUssW6kUVZ0WmDY1MVqWh06grOqoY8bTbUeUiyxtFbl/YoC1iwqYq3HP3xzgI/fKN90/WNgwUEhrYFWxeE/5uD6ZWnUhUoF7WE+kxUjWK3B6P4d3WYvj4KOuzCumFEVLvJ1HXMuRMDtSYGUO9RUNnZiOxhNZu4xdndWyoYV727iNl1JCyVSZmSzjbYzgGmxz8yg7yNRsuCaqJLbYf9FLeEkjk/XRtH8AzMMCNyyvUUiq6LYVRHWQXG7TvPEglb6JdsRLQ6djpdGM5ZkUc8TK/UaVXstPV6ybgTnP/o3Y+/7VBjngi9DbNOF5XcMZL3JzT887tbu7f5mT6+ZdRQgoptUQNma8cXWP3ziaeHg+1op3otTxd0lVsBrh0AXojYe7/9mESzTSnh6L8+Noc26zzPLB5k+50kOx4BjGrUllMsn3HEMc/fYhkPkm94OYOMUY5V6bpCNNw2lHKMvXSKoZchXy6ij6jRyo3iW63c+rFBO7BPnzbbaQ71plxV9ApPkzLdVIfrVFLrXDvsRCRNjO2QDsLZR0to53ux/dRjlkwumyMHIxQb9/BjYs1+vdaeW+uSqOjH3+ml4l3L/DhL7J8kBhi251OgsEimbqKpbuPXUSYowAAIABJREFUWiqLbAuwuqzRWavhCki46nW0+jJ5Vz+1SyXkd7fIrimY2iQcXQLKVoVK2EF4u5PAPoHfXP4ShlOw0wvx92RO/SyB3wsBm4FKIkNJEGnrFhntdHFhXaBisEA2R7DTTDFVRcWMZAqiVlSimTjoy6QNTmI1jdSVIo//9l3oNT0Bd4tGQYcT0Ekusms1gpYGZkHGawVruM58JYHD3URNpDAH/eQzDgJ2A5uTG4gdIW5PKfhDJi7HijTVDJ2uBrU792CsaNgMLbZvj5BYqOBzNumRWphKKZwu0FwGamiUqyrVRBmLVaIsG9DqOjwWM4V4lYceeeJj7Jynz54MdHqxeIs4ujxIUpleq0bBImHwNLBbTKzlZ/EFQ+x5IowMnH9jA7dZ4/j494iu3+DIY17qmRoRiwW3pNEqNeiyZbAKNXrvaUcwpmhLTeI3mzGFo2yWFawGK4JgoFVZI9+yI9hKPPK1HVw9t0Z+pYrVbMJo0DDFkogOH0VrP2lVx9E9OuTOADc1GWdribsS72PPaOj9Io3wDFl5ntreMZTnYjhIYUrMUfyowH//wze4+nSWsZyJrrCZvkaWf9U+zcqpp3glcpm9WxeZ/2iB3uHD3PqwQnr5Q44eOcT3ns5yn8WK4M9ja1P42bsV9h3ch3KzwtX3BL724i/5yu9+kcL5PFbbJj6nzFKrhn+/gZRvhGC0yIN3B3hr/BynNoME0iXil4ocCXpZiW2hmWQEUcRehtT1IknLXjraXOinS1RVmdx6gXs/Ccfubud71XYu6ewUVm0YYi4+ddCHxZgnk28ytyAjGQTKzSr6CpgUB4Wrabw+WLq0jnkzw+YHC3R4qmzEFOSGnif21okshng78rtcjO1h4L1/YMBTYWVHmQ5XB5ZyhjwOEskii0tJJhs+5GyOh/Yb+OCsRtDawexrFzCqVQ7/0QOkt5Ko9SxWg0Z3Jovz7MuEHysz5AfTF0Usr+xgblHkjmMdjL/TYsvoR19vocXj7N5h4tUFO4M+laEOPSXFSnEhRcXlxNDpIaNUUeYrdESNyFUd9g49VnMJh7/AlVMzOL168rIRe1eetK7G+lKa9mYNo+TA0tGgtdvCSlUhK7vQlas0Kw2KUoiyRWJ1vkh72EQ916Rol1GODFCP5enY5qPgdHB9Vk/8/RmG2lNUKxXqlSK1hILB3o4x6sDgbeKwNAj4THitIltphWy6QHefHZ3Bgt5g5f57PwZbe/XsOye7zVVqtTIt0cV6y4mQrNMyF8DeYOVGDd8DdxJ7b4rMBxeQlmQkg5vHLe/yhHWJ7X0i1cUMSesxrDaRNVmgFYbkZgFFNlHSm2ikC2zGspgjdubWZDoGHTiqoJl09IdMrBQEPpzcosNv49qFIl63CdFhJpvXcLsNtCpN9GYzuuYq+ZUzdNtWWZaNhFNFfPMLRCUzF2d2oCyWmH9miuUrAuM3s5y/kGFDLzBp0vjE1/fQfjjKYslBwr2ML7WOTq+x/6KNjrU0jYMD/OjDC+z65p3krpvR+9OcuO9JKm/F2N43yMqVSSzTdo4O9WI19lM+McDuh/38wQ/+io+m20imP6K7Z4Nqo0BoezuZ9TLv/zxPo7RGQjRx1VamS7aSmyiwbWyIWs5CzpvCbioyv1Shf+8Qw0faubzpICFZuXuPzMKV28h2kbu/5qfywQWy74vYC2MEKxEufBhGmq3j9NlYXCrRvtuOOZ2iGpWQCnoolsGmoyZJGEWVaiLP4J4A5k4rDoedXpvCTDJDsA1sf/5ZxKNhXnvhL3CcWeB7P/8zLp+6wtzUJlQq3HnYxe4xH+vSKLFLU5zYbuTDWwoVt4sDn3RTHrSSbzUp395A7hjEp4i8MWHlys0Yv3g6xdoCXP6eykT4Hux+PV95LMJy1yF+Eq+hKy1wc73CQ984zvSHMzSSa9j3DzG1Am5TC51SoZHN0yPGaJSTNO6I8v7MJgsbVzl0SCZRbqAztWNxCFQ2l3CMJWj60pRrRVanyrRFvAwFK4h2mallAzG1C0FqMhwq8cXfupdCMk4xpWCRNHw+HbLSZFtIJXFuicbAABtXp4h5RzjQoUPQ15EtEtlakbKkMbVWY7HYwh0SMOkbpLIKcsOJogOLQaarz0N1q05FFnjoEx8jnM/96MWTVrPCaqHMxu0aJosDp0EmPGik6XQRm0mSaakYdEmkfitltc58+z4ciSukfpTlr27I/O18nW7bYfQ6I+MFJzm7h2jIwMrVJE5fEMu2AK18hUO9AQJ2G82Zda7drJBt+fjVK7OsKC0+849fp5pocGrdiNWvR/IVqIl6CgkNWwtMLY1dfSv4HDm8zTSK2YWjaiFmalDrj/JGJUDxkQbqIQf7n7yH7FaE6MOfpvuRUaKHm1hlmXhSRbd7D8uGVX4tssCgfhHne13UvU4mj7v4sDTHMVs/BmU/vvwk4SdPEE2GUO1+/HcP0PYvf0efeR798UPonWMsfesy2tVRTv78HLE9fbQiP2f/QI13X3NRn95CcoUJmSDWJiI3L2L8oEp0oIdPf/sw+fVFevcXMeea5IoBlOkigyYzH7yZxtVjpz9+Dfvr84wcCHLwMQvzE69w1Gfkqy95+FZ3O4986iGuXWny+maUybLABhdx7nKht1ixpy1ksnGyLYW6YmMgHKCqOcHpZm5iDavOjTC3gfETQeYnJb73e7cZqej5zd1d5OsiObXB2TObbHtiO7V0DpZqtAxG+sfy3LFHJVvIkLZuJ1dxYbLJOIdFZqazmLM14vEK3/iUinVnns/+zZ+j7wxwx6CX//zjWe7aexRVibP6+6/w9msx+h8/yOCgCz0mzBkNY9DN4lqCjC/MjUUrHeUkR0ehWWrgsunB0UPaLFFRBVTzBP/4QJliViaxGsTYVEBtofOrNObTPNCXY3IqyfV5L0MDbjz2JoaADZO7hU7dZHM6QcZR4j+e3qD7E10MuDpYubpGYb1FOq0RSJZ4uBf+7UoaX8RC0FijZVJIpxp4u5psHzZTK7UQTT2oRQXVKGAxiOgyZWpSi+JWjc11GaHSop7S88hTD/6fh3N89dWTcaWKEPSyIyyguT3MJvVYU3UyJg/t+6L0dwUxRQVubMQRIwHKgbuwj+xis1Oj9/EH2N3Vg90YpDME/QeGycUXEA0G/vTn/y/5s5MolQrrl2ScNS9NPfiGnUQPO3GJKt3dOoJ2Pekzp2lMLiG1RIx+jf5ujUyySaGq0jPoIuqqMjGpUN0Ic2MtAiteOo0qrt4dvFK2Y91uwXp4i/lXxjHTgWchRZ9xmUS5iZwrU6rouPDRbe5+apj5hpEXaj1kpVHclJkwNXhvPcGDgptsPs16bY6cJY5qtlIOdjD74nkq9x9n68wKuqzAxehuDrxwi/1agMJ3vsYz16ZYT8xg6VXRXdeReU3Pjr4Qbp+VnCjgjaRR0zla0x7aI34Wf3WWqZVNkqU6bsVParNFueHl6ocruIuXGTnmx5BfwH0lzvHdAayOGywMGYjEJfqez6N/8xW2/uUdjn1jmG37utn5uJ3N8mmWz1ygO9mGM7CfdZ1KrytOcUVGaYgETCZachmL1sQjauQ3VTS1xkdn10km3uI7d6/Rf6hKpaonWYihqUHUupmG3GR6tkG8biO/sojD42ZyXkJQdUSLKrbWKm2+Cul6GVtBJrZi58aNEl94bJBffvNlLv3th/y3l/+QW79c49lfzfBnl36Cb0DDyzqugBk1V8Rp1GFutSjKBppKA5tdom60YjGrzE3Mcn1FZTHpRmtrx0IdrzqN15JlbEzk6hsyqwkXgmqgUNLT1EURjUO4pToP3T3E1bMNjIEBijUPakzBFI/T1l1nbKSNRqedKx9VuX5lhf2+NgqFJk61SNNowyQa2XbAwg29nrAWx6cvYBB0+PxOIv0u2gwVdDqV+E1QJlMUN4uk14tIVoWBO+1Idom8oKM7ZKSoFDnx8Mcwvn848erJQkah5RQQnEa2Yg1sdjs2mxG7ICLnVbTVLWpBA97BXXiDh9n8pwy559Yx60IIWhp/VwtrbI1cOUdBreLpN3FzTePlM8tcuzaHoG9xeNRHy+OlYlTI5rJstWyk52UUpUysJtA1sEWn30hqtoql3YlaqaHTLPT1urn+7hKL4wlEzxEUWyftY2F6vjxCPr3M1el55ktuLj/3Hh/OTjA82kt7v0CiOcbspXW+uneDDbnOtofayG3WaBo26dsFO4tLjP97A+M1Hz0lL+krAocf7iAtatS9O+mnQV9VpZW3EYke4pmglYvf3MH7wRLuvMjxtu24Z5t0fWsn+77g45RyCWxG5LiJe7ZFSGc01HoWrVKmuqBQzERxaDKUVJR6BUurzPWJJnVNjzef5MhYgLc+anJgnxvTwGF0JStyYhN9TWWtU0MzpejPCNje87K16yG8gXVq7/wTa786j9+X4Y8f38EJNUzv8zmuzZi4YDvChtPD4KhA1848aqPJ1tIabYfDVMot1KUUNr0XoS1KT7uZu/Y3KSidLD/d4v5jFp74m36mWjKLvXqmnCZ2HQ5y61yJG+fWmLiUINJjpjLoZEs1YDEZcPiceFSVw994gndfX2dyOs2ZX07TaqW4+voU3/6ve8m/u8SL11UKCS/WnJ7bcQ2rs4pXEKAMiijikIyUN5PsDxXR1rLoqyrDQejvcbJ6dYmRiIqkB7swgtXQw3P/nqXzqb0MH7cT7m2RWC1x63KFNcFNS0wQzRjBr0eUNRo1I/qGm+WqRIdXwT8Yo3fMRGJL5nN7erCkSgg2Izp7GOZijI25+cHLMYaOaCDoiFVEBKOVqWmZ2uQMu/q9dJjMHArJVBwCRYOEzmImns0h2ERc4TY6DAa6ui3s2PkxNCWn33zj5NWzRXRbNZYmqtioIXn0mCQVa7VCYzZOLgcr401iPzVz6k8mGZx6l8dK4wjldZZWkywvlLGEXJjbQ9yakamW8wgeFeQyB49FufXRFo0b17AVb+E2Cdxea2E2C1jssCKEWTQ6OPzFbsbu9XLq55PEFlsszMvYai3sAzraeu1sM8vc29FOdipJdSPPj5/P8eb3p3A3VTzWFt/54z30ubqoTGg4inY+mi9w55iBz4wtsBbKUTY16bS1WBatnH75eV74Ug+hjm2Inr04bBZOnbrMPU/20P+gnc2FGpVylf7QAvO1JFuJOEPSFQbmfs6uA2aOW9vJP/0frGR/Tjr9Jp0j8wTauthzaBfJl9YpFVYwOEzIuiRiGdwDAta4gbGhCPa+ESavVNAnQXHUeTjSyY74MhefnWa+2mLgnjYKt65w89Ia5VAbxZ195Blk4awZnW2A66kyp2oGhPsGeKlgQ78jSGZiidwzcQ7ns3Qe20PkHh/P/F2Zcm8/oc7rBOy3KGU1HH39dDjcbJzPoI0EKWgVplUTTpsBy0aFIaGMbTqFu99H5NgxTtfLrFdLHAhD/OYMoPCf/uAEnd0hdu7tpxKS2JgtkU8ZEa0d6Ot1Kgvj7L7bxfYnApz90UU+t7sN/ZGDrNebHBw1YyCHo5gnVs/SfWgHQqebRFPCbqiQ0kx4+jVKzSrJ1U0qONl+9xCd3UZ0qpHJbI1dRwJ46abfaqOmSKQLTZQekfXFBTRLis7+bhZvbBEWGjhyAp6+UTajXgTNgFLXSCb1vHrLzJZvJ8K0nuD8PIYtAy1NIqsY2AJEW4VkQiZ8MMrLL63zif91B9lMheJWEbNeJG/sYUs2IWbrNJQmrbrMms6I2NWFwWaladdo1rLk6haq6zXquQpHjj/yMZrz7VMnI34LHS4drg4nw3fZsenThO0tCnUJQRWxdoZp6kT2DPRyb5ebrq0EkrqJf3872kA7xnYPecGEWZLpGg4j6hUadj2HjncS7vOyY9hPa6yPZbuF1PlL9PnA12WmtJlDLVbQ6iWUK7dYXM+x98Qu9hw0EdgbYdcuD6fLKjPZOoYNlfHnHXxwxY1SXcYS1Th8tJcdD3mJF/K8e6uJIGvsGPAwtapw7JCXB+63sfrM6+S9HVxL72Hp/Rqf+K1hej75DQ4ZdpAxuMgPbqOyscqZ8QXs5jSf+nWVzIRCvu5jcUPGPTqKL5HEHyjj7qtyI6Kg/eNzeIoG/J/9Ku8kTHzwbp1XfyxDCh64R0+6WiO+UMXZ4ae+lKFutuBTrKiqnud/8C7B9gYHjjYxZJx8+NImYnGLa3GFo988yupWDLe+ib+cIDxRZ05vYasYRKfqoCNMJlukIJWQuyRqWgFFbmHrirK4uoP0eT3qDZXR79sxtY/w/KkS2z83y3pgicWmDyQP9VmV9FwOq1dgrW6nFlunjwK6jMZ//FjHUj5PeU7E5q/w9EezLNQcPHq0RFd6As3ipKaE0Jn95G5Mce2dU+y9s5t0Wo+xpOEoxUkrSWYSNbq22Vn69yU6HmujvHeArQq4TTrSNQUx4CXU78GqNhEDJRoGjbqxgk4ViLRV0fd7mNswIDQirI9vsHVxnUuTDewHBomM7iRzdobK+Wly6zVKfj9Glw4hX6RYLBMwB8jVnNgdJiorMp1d7dg6c8SVHE23B//uTpxff4AV7zALuh6ilVX6ZT1rJSceu0y12UCvc6K0RJ68L8r7OR/W3e0sX1rB5zagr2k4TBJGr8byukqxXqdpdlLxu6HZQlLKWFt1LKpGOatDV5WQU3ruf/xjfKW89PKzJ01aFtHYxNGsoJOr1DIasmxA5w3Q0GnEBQGjqFErQE5eJzPiYWuPG9nRoKnJ6CUHPk8TnTPEdEJkIynhjXTQmmvyzLd/xuxMmbMtB0ZbEN+Yl5XJEsagSHdQILIjQogCAwaVRFLl9uUKVm871ydKTJydYOJalshgiPVYN9dKEju+FGHXvTki3S2cooVcMk1bRME/1otrAaKNBgfujpC4uMKqu4czc3bu/YM/ZcfhL3A47KXQfonnf1Xga3+1zI+//DbpwhYPn4hSL8XIJMcZiU7jC+Xw62IsLsUJHegjZw6werVA6S0jx7/8Rc5e6CHoj5Ct6Mn2DHK1YMc3ZGX99hTFMzc5sm2A5S0H10+n2H5iO6ZaAs1gQV1Ncv+hMD5XAuH2Ci7XDn55aoPj332YrqdCBHd6mTt/iW3DTjp8dZKrRsR9Qcw2lS4pj7KcIG+zUxetJCcTdJoFrlytUBrpZMEo4d4V5b2r83Q9/wb3//F+/vHVabrMdYpeE+p0k50+L2GDkQ6Pn0zDjKIvsWQwEb3fT6qoIDgEdt8VwnFnF1deneTYkZ0IxU76ov3ceiuFTrZjaxpoNjQC3gbNnA65qjHa58Vvl1ndLFPyOVEVDb3kY2RXFEYC6HQ19C0X9Y0iQb+KuUvC2S0hbGZx6bOcP5UkNDhC7XQchDLLW1UaTS+uzRmcrQKP/O5dmKM62iSV1HwGsZmmJ2BjJmmgJrlxlErUsnpqywbyVws0GiYCqQoGUWBVDFB2b0HASH6jRGxRIROrE3/nNh1akaH0PM5mi7mMitWg4fQHMDWspGcqWB1G3tt0cPP5c1SzcTq7bVQrGoacgtemUa600DnNmD0OzAYDajyJZDNAS0WPglUwYLfaEXQidz/wMcbaaxs/O1nW1yjq7OhrZgrLNVJVE2szFUqZKmZHDePmNM1siWq2RFXS03DpkXo9RCMG6rMZZie3uOuxEHN5iRvFHgYP99Am1/no6Ul2HfZhdOoYHIU+u4LdLuMw21AdDibn4synDGR9HkYGPNwXtbKo2bm9KaGTVIwOkYN3tJE/v0BiY4qHH66xrbHFyuUynkqBpKoRceY4oL9IbTVD2eDm+lSGeqNKr5zm7q/s4a030niLS7z6zPOsvvIC126BKTeKrVHkH/7ibgp+aFyap/fQeRT3dl7/93W+KWww2LDwwdxOVmjR2bXIuYyff37phxzeJjEvd9K8WcVa2EQXcnDPWICxL4zy8HeGKSy8ycK/Xea7P/ivFKeukvK2owXD9Fw9x1LaibmkkLMEyG66aBsrYxuNovW4uP1cjsLTNxicXqPtrhAXbirkiiV6H+5AmcqxWShi85uou8oophKCzYGsd+KXWlQ20jg2bqIZu7kZazK7keLuR418/qCT69+uE97911TPTLPHsk7GXCSb0ZhZMxERE6xeK3PHdgdtfS7Wn7vNnmANk0ejODhMMVugf8yK36Tn1lSNTxwf4pXvTzDi72D53XUCHWGauWmEgpGm34HgcpPaKrH9gJ1KPsVdj+7glecu02YPkCy68feYSc6so3MKbNzawOnuYLaQQNXsuHYOof3iPPu/Psb7z8xjzUns2uEj9uoEJW8bktnN6o0k7k43NbVJPaNHF/LTms2zW7QQy/uodEYw+MqkzSKxQpNAp4iiVzDtkVlPyqgXywSvFun2KHQf0ZOZXaJzPUOb38bGhIpaKhDt66A8m8DhN+Hc52d6Ps5IRCA0GkIyWfF0G6hW9RQVhWq+TkstI2cqGAw6nHaRmgYGs5lyFUpxK+1qHZvYYv/9H6M5333/xyczJh92i4NQuw69qOI2Z9B7IwT3mihqeiqBILuePIzREwFdla4OC+sTZeLXa4RCDfY+1M9E3cXa+ALWbIaBwhaFc4tYvR7adjoZurODwIDARqzG7UyVxMQWxdUYA7sDNE11tmQXH71S463vfcTNWQ1PZAS3UMNrlkit1hGLKrse3obSXKSWjdNjjrJSclLzD5FbL9Ko6klVg+SbIpJmQPS0KCYa7MjnWVwvY2wzkdfyDB8cw5LbSUTu4fjSZXxrZ/jRL3Ts//Rn+J17fo142+O8eXuYmX/7kIvjKeYOPsTwkwFSS3G8uPn97z5KQ2rwb//jIjZlDtPePfx84gapxgYvPrvCSvsd9HzmTykGhjj93bdoD3WgDO4hJCY5UXmfNfMBukcFxIANCikKxjyRSDczt2uccFkJLn3EPcd7aHhN3LiZY9EeRuqo88KP/4OWquCPBLEONTEIm6StErlSBGUthahVGH6kD6FHI7y/nbnZFm+9ssnQ0CFy6yf4/t+/yJFSloF/foybzjir5ydJJZsMHNAwb1YZaQsz8dYGr83UCB0KImcW2ZoyMnk5S/dhCxcuzbO0XMNhDxAYiRBYrnPj/SVc21wQsjJzoYzPE8QyOsLSdBGdrEeNp5CTDQZGe8kuNylsrOOM+smVFHIeC/lslpGdbWSLPvojRmIbNapLSdZFgcx8iva7DlExKjioUDJbUExOLI0Chz7ZTbxUZ85ux2av0jp/jaMeA6srTQpmM7s/5yToEtkqqbjFCh55nu3REbbOGcjOdiDWzQTGVHZ9q42RvjJBS5OFuRy1iUUGDg/ypRGFmxMlpsotUvYER+8z0tKVKeQb1GMVrIYyzpAFo8NM2Clit0v4nQ70cotazUq6BiGbykiviFARMZcUzEYdO+//GA6hypXzJ1+bCzJzw0FOq7KoefBtcyDVJRwRPRWLlWspB9NnNArvrSJtxmnIKmK9geoPkdfpuf1KDc3rZXivnp3ePMM+PbUsbFnNvH1hkeqyhKucYGNFoKIZuGOXh41MkcXZAvOamY1bQZYmFzi0awf7v3WAutiklYmhk8DnMuETm+RbVdR0iyyjWIoe4k2VixaN9kOjrKg6vBEXWyt1TBsN+kMhkg0HxcfuomHTMLS26N5UiF3T0NeCpGxdmIZMCPcGmN37RV773M94+n9+k1P/amTV+0m+8b+6aFuqcPr1LT576wWSyxk8l42U4kVu/VSj29BBd7TB4LYa9xtnqe05RLbWxtyLK5z/YQJt75O8t5mjVXkbxd/O3osTdGdvMa6O4jB7uH5rmeqZReKbGYobRmoOM3flBPbbyySNXi5ljCw2Imzb5iEZcbJjZ5QHPzfG3Ee3mZtd5MbkFDseu4/OVoF6NsXwscNcXTMx89okh3sKFB0Kzk8dQUj6ePCBO6nN1Tlx4iLnAzkuvr3BHi1IISUh7OpC35CoFWSqYyG+8/y9nP0f/0xNDmM2RojFJdrNQdSKnRYyEf0Wdx3z8toLSVxjXpo2G8VNhR06FxuvnCHYI1PsNlCs1JAcenQ1M+1tXgx+FWPUhknfollME6/FsfuNiC6RfNNDZiuB1yFgtWQxHgrR5bPh7BSQHSaC9iquehObJLFjWKDNmebSfIJJXTfhXZ2EZ85zRxCMo728NrmJaNukudUgL0PfsJ69o2VETx/f/fMWpeAotlCI8YUYV2/fxmPKsfhilsScyuCuNtqf6mN6Msv/d6GE7WgfonuFVKaOrVmgq9uGkjYi18uoeh3NcpzsehPJakOIy5RUif4eMy1R4+a0CcFiRsopZCoisbkS933pY7C1L/zh0ydrrk5CIQnnQJFSpYW6lcJWlmhILcyKTG08QSAjM2wukUk2CPX7WEtVSRQ0XLvbcche3IpGTUkRWy6R0kQqnT1YRwSsQQs3z0zjNQlEB1pYJZXllQauHd2YnGAxuTlkbHHi4UH6P+/FJixRuBkj4DEgW1TkTJpmuojRLDLab0UwCCgVG+HhIJuXb1N//yxtngbp9RJDozbq2SpnXk7wjaE23nr6RVzxKQRbiDGpC6PDxqqmEBopcqNq5fTr13CY0uzJrfB4fJ69/hC9JzY5YpzkWPwyXzRcYnB7iWs6FwZtO+dfe4MfpN6nnprB7e0mvF3EK2f4l3GNwUEfX9rr54BiZfynL/P9N+Bbj/bz5FCYkQkzCf0sWwY76ZQVxdag05Vj7z4fdrdMR6CGsqhHs9hYPzDAbDKIq1Zi76521rYSKHkzt8ZjzHQ/SM9vfJKjewNkX5kg8+wlTCYbuXSBlWWBUFcvumKKvMGNJZGmvCTzp397g22/6eTDH/wbX/7KXo5J7XRlU6zp8xiECp42M3LZyvLsLJ3iTTprGzhcPeQvlRi16mll3HjDAgnBxFahjs/YYvxqCrNbZXsthVMMI23fQyoWo9sYwzVso9uSRBIMdNoGaDSt6J0V5lbS1OeLmFxWygYTjz8o0eYJsHJ3xqnkAAAgAElEQVRJwmjUIZSb1Ooa+c06NoeX5EoBf1iPXtjEYjeyFcvRf4fEzLkL1I0WplfcFNMKJmOe62aBmXYLS5U8D3x+D4tXtpBMZur1DKquxFJcZfwdgWMPmzkwnMGcz1JTfezpjlJbzGMXi2w72sdCIklsvs6EMkCgqwNPY421hJX6aoymaKasmfFIAoaWAV2lBi0bagOMhRaCRYdNqbG+0WQ97kSHgl2sIvZ5mZ9M8amvfur/PJyXzpw+6bbpcOYLhNJxOn1mzDYfRlmmptlJVwrYnGb27uxCaxWx94pERobo9OoY8OiJyzlYKNMZDZLWZzH5XGAxU9db2Fxf5lCXwuDBTsqLq+Tj86hGGy3NSnibh529BcSNJkP5APobK7w5neCdD7I05xdoM5VoUUGWYO+dXSScnWRPzyIVivQPhmnk5nn0az1cX1mjZ6eBdlElYbcwnm7wB9/5LoN/+TXu2L/Go5+DUuRTXHhOwjw3QXm+h/euupmbWuK3H0thblhwdRc5fWGSTbeX7keGeMq/hLi6xsq0nV+subneFiBu3c4NqZ3vf+0g//h0AcGyxn9/PYUpI/LwcJBzt2Uu/GuMfff1c/LVL9E7/ycY/u8fwE9fQJevog9YWJGtOIIalk4nqVU7o08eIhheo5TcIJKHTDyNYe9BXn3VjJRKcN8BkeWzcTYmBTzJPPOOPm7cWCP27nXGxlexGXQ8c3mF/XaVviP9SJY85fQsks2AYDdRKRgJ9whIv3kHixkr47dk/ubNXszH2vhErxFTOEpVFFhLLBIrqfz5N9uwyVn6d4k8KAispm0EIu2I9U1uSm4y8SKPn/CQzDQZ9qWJLNd5eXyIxce+zNH/9iC3f/IM9h0ekrIFoSHQPehDtRRQ7DoqsQZ9DQu6jTK9rii5zTDrb2/SuHYL1Vqn2RJx6AoURA1RVDHWBBrxGtXVLLGCRLBPY/eDNm4lPWQ+1NMhitRsDfR9DjbSKtqGkZtv3MYvmvAvGLDt9LOsKtR9VpKJLC2HnTv32/jSSILii5OIdpFa04k8uUK3y8Cks4tqVUPv1mPXK/jsFVqlLJawiVjQT7W7A/NGlUxZxeT0M3iHRG4hidKqUzKaaIUFag1YSOgI9ij0+zKU5QbVtjZEn4cH7zn6McD3C2+d9OxzslmtUNKpVApFbJUUKmbYrlL3nGHwPj3SnMr4L9YQnCKVX11lbnyZDinPdFbHYFeEN1+5wI47nLTsbWyWRfxhO/1CEZayqB1Rtt0/gOCwM5/1IJvNvP3DLPn5HKmsAbHLzZonQtpqRbLECI/aqAQG0YWjlJsOcmdnaS4ksHSHqIQcCKSRyHF2qoB1xIurXmBhdg3FGuDO+7fhmc0y+Y3fZHzwUW5/7zr/5Yen6RrsoKvfyGdq80RDRQ4+FebWxGU+er3A4B0DjB7qwhHq55d/vsF/eW6Kp68u8dOsncSRP+HBQ114hGmK4V7WtTo//KsyB7p6uOOPfofQk4dJn3sL+85efucvv8CkXuHXj6a4/Pf/D0+savD7wBO7uTZh49mXZ9GEOrLDysX3Sty4UaThsXHjXJLYVJlNoUr70RF8283kpC0ms0Us9w+RTi7j029xZ1+MkYiBB4dMbFtMcaMUpODysHB7iYyti+07LewY9bK6asLuleju3KK0MUM4o/Eb6jX2Nsv85FI3k6kadl2ZKW+V22uLyI04n7hzhGdfVcmJB6hdVwg5+vhwosZyYQvBmcHiarEjpCI1SkwtKaSXLHR17uLFD9JMvhvncI9IZ/UWks1EIldHV1Up+vTMXomzVehEXLOQWZJpWbZx+iMX764N0XKpPPCIh4nNCg1siNkYO+91Uc2JbCk+eqJO7D495kAHrXQMg+zmV9ednH0+h01XIrpPwDnagVaRGAho/MF3Hycfb7IwHsPWJ6C0BISkjm7FTHdIYHZDYXNC5s1Xr9H1uydo2o14gzKyy0dJMsCWStUYIDFfZeewSHj3IBuL6+QMGTyWILaURGGrwJk35ijZAliqFSzNKnW/E8FRRWvkMZua9O9sRzXaaeh1tJpN1q/F+PRnPsZY+9LLL560RdxkqgKWDj8mQcJrddDUTBzYkSVz6ywDh/wsvG2mvgKuXj9tmhGjMcNMJsebpzNEnEN86Q+Psr65xvKNNRQNZmf0SKtrOIIdXJwycOv8JhdPT2GRmtisWU70+BEbq5Q6O1la10jFtygZdezapcM1LLG+XCLaW0YMKUh2K8NjLporCdbMbVTKHowGA+1aA50xQ6Gso/eJ7Ri79Sy8c5NXny3zw5dGefcn5zBaZT7z7Z3IkW4cS2naT73H6so5pJCNpcYcre4BUo0K5j1h7uxo8dRv3c29x+7mn/6hzBf+6ASX5y2I9XMsFXJYnSYun8tj2PY5nn1W4Z+/e4HNty/zG39xgp8+N8/rf3iGB/7TQ/zLl0d56tgXOPLET5k8Z+fH347z1tVZuoK7afc0eeTLXg49YGBP8zpju/tZWCnT+8g29I0SS2+t0W1RKEtGBrMytYLKgDfK4IiLstXFW5czdLVLaC0X9aiTe/72TgajAlXfMG+fNpKvWFhdKXPooSDr1+bp7XWSfz3L8d+7i4G9OqqX3+KzX/Sz8u4SxcNOPN0msucvMzbm50LexT1ff4p3vv3XPPPWLKtaDw5/i6DPyOiQj8LaCq1yjnrvEFOhME2xCpMz/F//OYqWPo9AjtuySMPkoFQQsZihuVFmbhmczjBK0c1XP/8g6y9NMWTKMZfcQG5uUo14CbiCXHxzjqxWYOSuIbJrFeyVFvuOuSk0nUh4+cl3N7hyPY+9e4CRr+/ENmjmpRemcZcbYLEQF42YfA52dxtZ3kxibRUwF/K06QsY2vQULQa8+2xULRYCn97F4tk5bEKJjaQBrdmg6etA8tUQb14gPBymNBUkXW6gr8cJ67wYVSOhoIfIcD8fzcnYfEFshgKiLNNQdHQWNum0qTRQWXorRn2hQnvETEYPjz/4MSCEV15+4aSpqeCyGUhmBNLxCqt1gaY3wODnn8JRk/Aq3UyMS+hlBUn+35zd53sdhH328e/Ze+8j6Wgva1ry3hhspjGBAiFtQ8ggq02aNGkzmkBG0we6kqYpCdmDhBGGAZthg/eQbcnasvaRdI7O0dl7j+fF87Z9rqv5Iz7X9fvdL+7biq5Pg2p3lh3f6cfau5lKLseVc4tIlRW2dRuokyhpVZvZiCl50etg5HwAh7HAZ7/bjEG/RDFXRjwRorm/i7KwgtyYRFqjotFpxbOaZz3VRO82MaLFM6SSAaSmejLrcgIeDdUGK/l0iubAIs3GAW5UdKgsVlLlNO8cG2Z1vsLWD2/B/eIrPHyfjZ88oyQ/O8Hi9Tninjg3hF7kjzQyYqohI0jzi2e6MEzPMXI2w9qJLFcvlzjz+jKPfMLMi9+a5+pvHGhrZLgCGbaYTPTv1rCl+SZb7hbx1b/vpjx6mv/48Rk69j7MQP0mFpfsLL6jJbi4ivXaPDeTVpa/9EU+/SEjpHNsVBqImvpZEcdZP5bn7K8ylCVN0C3GvLUdXUMj3kiJikVKp9yMLi1FuVJGXAwRrUpwbGpAnHYwPmWmvBQjrSwy77aSNhrRFc0I0m7WZ8fYtbeDdEVF76138dwPZ3n7shD5xw+wVpARMbvAoSabfB97RzPRySpynwp5ToB6Y4U+RYUJcYb+XTacpjz4y1ibbcQUYsQ6CfZcDMnkGMmchEqnCGvvJJGyh5QAElotYm0JtAqqsSSFVInuLU48axWk3lVcw5eQB+YQO1aQD6jJFFPUKvJQAENfE1Pvj9LksqIQZYjfHKW5qcLLJwKsrssQtKo49FAn+z9qITE8i6kaxaFT07O3lslpGVMpK5OzccbPzlOw6NE02BkZCSAoqVDX64gWyygI02gUEpvz0+hbxqYXsOoVoDDZwK5gecTNoU45Ypue1dcWYNsOmrUJqtkiLbsHUQqFNCtFJIIZPDEz+XgKYzaPVWikTiWnFBKQbWzFqHSSiULCU0aoEHLPPX9CWvveyLkno94UOoGbfKqCsk5Ji8vCvbu6Kf3nHBc/eZahVxPk6gWoHSoE+lri61mmxj0kkbI67WZjcRWdXISyro6ysIRSoeM+ZQ7Zj97knckYtY99iNrSNFZznhtrSYwaDdP6ZtSNzbhjUSRGF3aNlGogRDoqY+yEm7hUyXggh9MG0ryYg/ICO7uE5MMxChtpejIxZq8lmel1UKgosAareM6l2XrrbUjUfm75nIZv7JTyxhPfp7yySniPma/+0+Oo+9cJfPCDDGzv4l8/9grNQxGSFyUc/qYeh9WD48gcs78ZZeZ3U3zz7BBtRSkf+KSKowUL7ikFQdT0Sv1o0jl+/e3XuPvRI/Q8ejf0mCjeTLMhrkHXYGSrMU3JaGZDJUTvMPP+z+TsqFeTUcn43tevkbCsgDtOuyWP0GKighffvJ/EtTL5/DQZlZd2TzdcsGLWtpAvTSA2i5FFYoxMBCkrdWyx+OjabOLqmSZGzG1sswQhH+cj/7mNf/o/x9j74X6W35hibGgDUWcPRXmOtXeGuf6am4//bTck50kGtJjqNxG/EcOlVzA0nsHygU0UYxK00QLiipTkogxXs4lCKYC4EqdaknI5mEJkkmC1pXBU08QUHZy5WSBYVyAsdJPVaknEFChtCkrJPBNXomztMTBalnADKRmREKe5gKDBiDgcIpcR0F7roKOmDq3KRjQoRKcSUMmruDBTpqu+ilWaJiBSEh26Rl0lwqWQiJH3g9hXApz9jY+WrAeD0Uwlo0UrEBCQ1TKV1FH0hmh2yREKRFhlJdaiOq6950OvlpPRK8hjpKVGRzQWx1wI47Kl8KSVvH/Zgr5BwnpKwJw7zsrxOZbO+XhAvcatxgw3hvI07RRgcGkorOoYHauwImkkIq2gESvQWdVoixXyogC3/ylDRldOvfSkSiAmrSyi6zVgsqVQHZvD/durzL/4IruaLOz4+hZkzRLGPGlGriZw+3K0dZhI56QMDDppVssJSexksym6EwuMTZh47b+y/O3mIp/5Vg2NbVkGI++zkTSzpq6jPRsnI3MwPFFhbmWemxcXqYr9pAQODn52D7fvhUxsHSR62tt3ERrOUTyxwNZeC78fijDZ183apg6m1woYd/VTGr2KUpShT54nOVfEKAtTJ/Hzu69d4mfnerjzN9/BuuUwH9z8A66/eoPnnxjj5PFTfOfpT9B7/xepHeykoljkj++uUdULUcq2U9cL3/rqBzAMX8b464v8+40cJ+evcGL+Oi8litgDFXZ9eS+nZrRUT89xc8pHcnIMR30ArXkGXfJt/JIKGqkIV1WO95iYsGIS2V4Tdm2Co98ZJJWtIna70ewo0GstEqTEe69uYGtX0rnTjG9oGm0pgNoZYDUbYzaRQSYW8fCn7kYTHSd6aYhqpMzSrACqUj72mIzpoRtk5VVOnIyA0E7FnWfbHVuRmIrkhydwdA8y75dz4E4zyU4rkfM+FLkcoriAnChHs7KAtlkDyxVwxxDbTESrFfyZDWr7GwiLpCzMbaBxqLG0m5AXYkhveEmUXeSaFIg73UhcKew1elavSelrkWJcXmJltYjOlSKrXMevNZP1emhzachr5QizIkpyOaVYAsG6mMwbU1i8U+y5vZVIVs1STIfKKCeVKFHJqtHpHOQzErxREfUaLS05IU07e+msT4JCSFYiQWrwoLNm6WlL0bt7MxszRdIbCpaWiySLDvQWO0mrmrxWhF4E5UyVcjGORKSmzlHHxT94WXGv09xZYClU5uiXb0GRCrOGEUNOhUJYJaqWoXdkSKSqiPxZ5IYceaWQaCpKPhWlWtpAYqoQq0q56/Y/4ay9+t4LT8aop6RsRD7qY7tLyPVZAbPRKgcOmcjsVnNyYYPixGksfWUObVXS4kqwa4+ToXNueg5t4q3fLbCaB7tKhTKXJVtXS7XvIM0VN5UTpxmfnMNi1/OMu42xsJzthgipUAK7SUzfB7tIXF1DoFURSjp479U3UFlNyHV5YvFV1MIwog/9Nc9tHKAmOc3kagoREtKbFXR3beEHH/s2h4U3EF4exezL0XF0B/PCOEMXLlDf1Iv4w3/DD//jJJ4fvknv0dvY0tHBz4Y+xKOPHubKiXGef3SU7/82zsXZDT78/d2MvzOBvf8AdfVm/vHNEKnuAyhq87yvlLPjiJR//HaGP/vWDmb9a/z0qSFMqzm26sSsS2v5s20BdrouktG9RE1llI3BLbz/+xK/+8lz1Kc8mNpM+FfyPH5YzdjlVb73j0GSXXdg6i/SVp/B09zMQ/e2cOSAlk98+H26dArqeusZXwsxLhPhuGcTxv56xq56UcjcaOvsVMUGjHEVuYVX2euoojfmuDK+xM6DDRwZDGA12BjzhZGvT9JoslAxtjP32ww8+ybqATOSnAhhMY1SLSenKyDL+5he9yOMFNnWriW46mbvYQORjWUMYg3pFQ86RYGO5jgLQ17WQiAPZtA02qnaosTDQXL5LMJkgfdfkmC0VbGJJKwmIG8T0qAXMXs9hyxepKfRQnijTFWvoSrOYJUZCEcMDKRX2XuvDm1rPz96MUdBp4LsKjZhjsxSlJt5J9GijJRNz6f+roU9u4Qoegw09iWQtvahTdeiq0oQXPazNrSGWmlBYHRi1ds48ufdpIY2wDfHvgERstAkkmKOnMJGtpKiUhFhkinxXljnvi/t5UxSTuNWG5d/OYG9HEIy0MdzN8pElQVU21QEPWvk4gUqeTEyPVTkakyWEqmVBGq9BJVJTCqT5o7Df0JNyaXr7z7ZIS/QvSzAvuonoFcRd6iwONdZNc9wUW6mXNtEx6P3U2p0YbFqWI5muPJ+HNeOWqp6Hb/8FzcNH9hGt2ADgTDNxLiXuwcVrL57irPuKNWHbmeqqmdOrEMtFqKqlinJlIRXI2jEZixOFSt+Ad2bhNz5eA9vvJrFXAmSlosQKywMjRW5/NQFjtymod8UQu3U0Hywhp/+1b+Rz83zD+c/T9dfPcJ4OMDcxCTFgIT9f/M4Pc0unnviNJ/83AAPDETZ9VEjBbmOoX96nq889hqNmxzc/nAne/dV6RYKiL48hmhWjUTTTH4liaP/DiqeKLl6P3/3/CfYur+LH3/yNyw/G8MsK9G6tZ9D2zupykXIfGLqtWfJ3lzhrLFIoWmAUfttmBfT/OL47SysbeDYBDdfGSNbCbIwLEGg7qV5/x40qEitWPmv55qIzKSI6GoZEX8AdbuYbIMMUU5CaizL5r4qjeY8509eRKXSMuUvI5fKqGnQsEkg4HrBxTNeHWdG09y708QD2mWODemZyqm4e6eVfLXAzl4XXVdWID7LWl0HWokG9ZoPoURKoFwkFo6hsmhZCkTpu6+BgS/eh9su59zVEi29TlKXlwiHiui7bCxk1cR0ZuRGMXKjkEK0iPl6iTpNC/qIhlBazFabBKIRxLs6ERgMyNaTeN1R6loMtO+tYcpbISqtoq5kiZcFJBTQUCdHvKufzxwzcvxGlI4uNS32KlmFDHVfI9G0kHZbhtysn/yCj4mwnOM/mWZ6OoLvuSsoPX7CQi2WOhW7Hu1hfbXIki/HuR8Oc/P6CvceauDWuhCh4Tjx5QD1+7cxGzLgX/Czdf8mrh+fI7Eepu42DW8f92IlR3dihTu7xaRTMbzhVfbsl5NPximVNajUSiqWPElFiWg+RzVbRaTVEav+v/7cMlruOHz4T5hjeOOfnrx3AGwyGZ3FDD99J0SlEqJum56E1oXQtRm5pJ4l4yA//n2CmathBg5sZuxMnhqLkbnTG+zb1cSBW+u4ECogjGXo6JKRuDTBH8542P2zz1KQKrk87MciLLKlKYJNIWI9X0EoUlIqh2lokmK+XUZn8wZy4RyJZBvlNTcRXxSh0sCZP2zgkHg4+pE9LIe1nHk1S35ojj131fL0rz7F574Y5co7YXKXV6kO7GR7p5OYoIbx71/n8rUQW/VlVhZvMP7cDIlXxikabRz42p3oDWucKkSJJ4dB6cdR244ku0ZEleOFCwFUy+N8bO80yvAVTl+N8tcffYG6x7/IoccU5CUV3EUZ1desuOKr/Gg6yZm3b/DQ945y6MHP0f4bG4NfiTN55Y+gzdPcLsNy62ZEbe3c9fBeJNuaMWhzjI3eZPhajOlTs0wHzGz7i0N4XRa++fdq3vrPp0nVHyR1aYGD5TgP3KNidHiFoYKIBrsKm1GOzO9laVxE832beW1KydnIHur+/B4Ge9T4l6d4J6QgK5IgvLiGJVNBnEzy2tvrrEm7GXr4IPWNCcLBGZRGH+lVIXGNgM0aAX5bLT+9IOSZmSAnfI2o+u6nbsWDo7zE1ZQYjV1BiRI1LXZKnjKZxTyWM1PkxvPExTYSAhlmZRhtJsJaMofMLiccCRMN6qjUyXAYIhilUbJFAWV5HmFViCAtwZD1E/Wl+ef3pMz7ZAw+2IhNWABAWRYgKsrwF+UYq1HGl+MUJSImImrqO+rZf9BCQddOylNCM5wmG6lndWmdebePksvEV//9IyxdOMP10WE+0CQjPzmGs9WBemc9lyanSJehtVtDcL6AtkmIzK5DO5+hr9lJS6uMgF/Ga+fTZDXQe6SdpZUqaiHk0nIkuRTVUgGxSoJOVqWSl5Mq2HCKxYRGZ7j30Yf/W5yCarX6P+Kk2FxF0MU/3JZnQVYlufcuBp1ZMgEfcakdZSKDWSLgzZAeSTEOax5uP2RDsq6hIK1QREtBIMF7dpZUjwXz2BsotxmpF+UI5htQdnUROz1JcmWRcoeNgkVCf2MjyTBoEhm0HQ48+RLHwtf58E4PKzIn038c5KHqLHZljOOjZi6fWOfjP7mDjK9INhbFrCkStyWIbGrk4qshos8H+MLfSTDllrli7Sf0bgJBUE1oZJzb9AUqu1WE9nRQ40hRvbLOWPctdNpd5CZf5aliC0cdo+wrBYm/1UtVtYphXw8eX4Wla+AQxoisJ3AdqaNZ1sWlq1eQGqbpqh9g7lU90WujlOT7+Vj2K+wGdF++hPSFX/AUlxkwlVD/9p94+2aU1393nSN/XmVkuky7VEQGBTUNzfhzyyi1dtq3Gvn+t8e59sch8gS5cU3A7IsRrgQeYTAaQOYtU1EpGRubx3h/Hx01RgQKOUuTC2xk5OibQlw6JebFtmfgJTdNpfc4+ngIvy2POpGl1pcmkdLRpAlR16ahebuWJx4oYdwxRs29t+Gv5DFd9yHYr6JFreTY5A2Wbs8zulMHYy4eLm9l4MwGzQ06vv/sW9y/RcupF88j2rybSCrL5kEzVnWJUz+exXmwC7ulRGgiTrtARsIoImNWo1TnWJ0W4bxNiS1xk4JRjLx+D0s3IhQiMfSBDDKzkURCxvveInsGjJhrpQiuL+GrHUS+5mVnfpHcplqGr86jaXJy+2M7ScwlWFtMsnJmkXyTi8raCsRKKOv1bHnAxtxwjOffu85mg4SOnQ8RV6yz9stTONNRvvfyYa6V4hx79jKWhj2oqwICKQkVYYGyUkKHv4pvVUXDgInfvh9kPJnhQ59ygaiAcC4M8TQVoQZhPEm4FMLUZKVCDmFEijhowzc7D/Uefv7GRcF/x0/8P8uEkRUVlz/4BvPDYP3edylJE1x8O05XowyvUoMsKSCWirK1NMbeI05K1QaCcynSyThFyhhrSxx/3cd9EgEGe4KGbQ08984kkj1mjAUts1NrNBo0lDJ2dB0W0nVqlt1esqczOHVCzr4ywcD9Tpoe3ccrbje52RzWpAypQsDighh1m40HB4y4Wq2cevoNOnbl2eUQcfHAHtK+DaQ3lti/uQFTJIJcmEaclNC7u5Purg2K0vu4va/Ci9+ZJXYxz7BGyPb+DoIr6wR+ukDeBZLb7cjaOvFeAWl8haxMzcTldWzqKD1f+BgjM0kcbW3Uzj5H1HOT1q2dyBSNrAyHUfjneOqJL7DQcJjdtn9HHXiDL068yNX6n7Hv6nPMJaJceibP8I0Zeu4boBy7AkUhlnwDirQEWU7CcAKuDc/R22nmjg0pppKALZ/eyco7rzD8pgJlZwJpXE82XMDQ6KDzthRLhhqGZwQ4ktPEyhnyDWokLjWqZjOUb6KurLJZuopQYYC2biIjczRo12jvd1EMCFhKmZl5q0CiEmbdH6Nli5Hi5DgpoYC9Nj/DN3RcFXj4x51rnMPERF+auR+GqJnQ4my4HanWhMsmwfz3jzP6YoA6iQdn2Y1H50LX2UFDvoqhKCJvkhFaSUCHjWypikKlRCEQYYllqa2KOFHehEDXRFIGIo2ULYN5tKI0hbgSp1lN+kaa6ZPL9PbaMZqL1C0to1eESdubuOXe3XhuJPnJwd8j7xJR7xTRVC+ltHmQpoYMuUyZqlSPOBkmMOvn4R2DFJfGefdHr3PPl7vQ/PqHvPS55/npLWN88z8O8ld/Z+flP6SQi+TYpWsshETIC2VCUQGSGisrniByQZX6nm62dRq48Op10p40jh4ZgmoZkVWETmZAkEnhFckQSRRU4zFqD3ex818O/I/+/r9nbesXrjx5eiPJ/UcaaG5QIQhHMOk0SIJBlCoHxXwBq1PDvn417tEEl0fCFAIxAjIBEvk6DmeFrYd3kF5YYC1Xwb3qp6UmR6giJJxTI5OLKGaiJGprKMihI+xGmsxhMVmQ6eQQz7BtQEenWcfC7zN4vnWKLxy1s7rkJypQYzFJqO+2MfzcKIshGd231xEsZpiJLjDz7jjdH2hHsU/MUNRN39HNJG+K+PVTE+gPKvjV15/h9O/PYdi+h+Y9O/DPrxMYDyGqqdJjrtDaJudOZ4XIc24mT+fZ9cFWqgoVAoGCOpuQ6tAEPWE/wpsbtMhdyNMpYlMJCsFZ1IV1Pu1Q8pNjbu76nYkfpB9kgx/yl1Nn8QbWuWkL8TOtGoHKw6BoCFNsEU+wiTq1iEZvGUuyxMSUj4aWEpsGHYSuebi1Vn0/7tIAACAASURBVIZOK6bOIeR0fDNh8SB9dWZyEhXFWJR4VcJKPofSqELhW6OlyUhMrkfmEEMMpj1iMsHT7G5eY/ConJjYitHehjIbRxFeIRXJUMiXWZgu8vLVENGDRxDHxBxp15C8nkeklaJTqXl+RMdKq4WOvijhgBbt5XZ6q/1IFqIkRFYsEj2BpRDCQ72c+dEIB/bXUFRLWI866BeUcEWjbJR1ZDQSFHoVsaQWjVJGe5uOwGiUFoWOatCAt1BHbUcDobky5UgYR72Oc9N5VodjxBcyKEVSRIoqVYmcTCyJRhjGp1dwU2jn5U9dQH09zHanDs2dTiqSIjVtBuKjIUI3/FgaNEhiywSzPtICIQWdjOWUAUerFfHlGfyv3+DuR10IW1wc+5shDNNKHnn0fq5dukZcmEZqbsUhrhJK5EnZG+jq1aESehBLFYgrFYqLboyWMiKdGolKQCiWIpuqIlGARJKhQg5dk52oRk2yWmVv/c7//c/56y/915O33mGl6a4Wjl+pINGX0WtElOVJOnNxBrNFyuEiF1aLmHuaEQQ3UOZBKJKhMMRYHEuSOp5BotAzV69jeKzIwQMd5MJCklk96moepQniciFZkQCXXEJUqEFSkbGrz8HqIuy4JYlDWWThlxPYK9BzwEoiJyIvtpMTCCilMog9Ioak+8hLLcQWhticWqdivJvGXA/xKyPYegb5r6fdrL85w9/cbuGlVJyv/FmWkH0bwXg9P/3yq2xqa0afTLHNWKSqk7DuXmM+mEUn1HHrp/ax4S7gDYQoZhLcXPOTFshpUyyzZf9Whp5PMm3WIDWHcNZHEMwGsbaNMnzXE5x++zv8O/+Hv/52I/XOJWzLJ0gqNPRkJBy6dRu5jRD1A3ECRTGymTHW36ySCdtYKVvIZ1aotYro22Eht+JH0NmBr1JAqqoiqkC5kiex4kZub+RmJkGSDK56DRU35AUR4oUKGbmF2EqVW9UL1G8vs/9wAz/6wbvUtPsQ7LNx/htDfOgvD3J5IoKjt4or6aW7NojtUC27m704JF5mfEUUDXakJRkzQSmJQzvYV9vH5E+laM8qyPsFJKRKKoEw33/p59zV1opIKKIxlWDzA42MjPlQqsxUQkKUQglSsxqTvkLb1hqm5jdQ2uK4lBXKEQGmioqVpBysSuxaOYXRBbS5FRavbjCXVVBRKnDKoigEJcROGYVEhkBCR0jRiW9VRr/cz8eMEgY3SRi8R4MnH8Jkg4mZFAQrKEMFvv/7FbznzyHv6GChqZNKVIRVW6B/q5yg0kJjXYJ8wcNH77WhWCly+d1RqrV70Sjfo8m0yGooQVRgxpZYI3jpLEWnhq4djVRCUbSxRbLpONmqAEFaQCUHRaUOq1HEik/KzLyAmjY1+nKOkqmJ6Ltu7rznTwiEhKf/8GTT7n7S4+D3CLDrtERjecL9d/HeqTX6cklUGhkRq5no+hxaQZ6IP4ul20hRosfY147KmycwtUrf3bU0NEuJRGHBk8Hp0iJTSYkWJYhFOhLxBAaBkcszITKlRp5/dhFtXTtbD8hxL4r46a8SKPp6aD3k5PINH0KDFGl+Bak8jm+5xN6WAhafB1d7FcEdf87oiIv8z57GKlpAbNRQ1Up54B8fZlNmlRm1C112gWaBjtbwLF/4vJXdB6VsJMt45pOsxooMbLeyqlJTmlmhS1Ni+HSQXQesfPkbm2m3yNl7XyfX/niFkeUYDQ0iPP0ZgstJ8lkpClcLxyeWOLH1b/mYZTd/FnwaPrbCN76R5mbxTjR9NfivnCY7IKFiXaZeKSM6tsqevS4e/PnH6XlEjtkEG4oAvpvXmTLEENv0lPOrBCUiRAYxxmoOsShOXbeeQK5A1GxDUnWQSLppc5jI1agRSHIUUnlK1QLK9AaCTX0sBdWspId589m/wmZzU37qIkfSjayfFtLe1c58oUjHoJ2FlABNJEUslyKn0RNcSWHXifH7sxTHStjfW6f0dobN2xxUlpaI4GbXR1p440dhJPe3YLEp8E8lECugGBEQ81aR16tov7cGgU5E/IwWaylPj0NDSVelxqBlalXI5JoYjUOMQpZFXVpDRgq1RUuDtIKolENnBquhSjqjJGm0IEmkaJOk0BeL1AjzqDQlklUDb4b1vLUgwhj3EyrIWNMMYO2yYduqRnVrDzu3KsloFWxk1DjlOmQeD75jY0jaLZi3t3JyMkLFF8NqSeFx7+ZN6SYWcs10Sj04RRDM6Gjqd1IWy7g5XyUSSdHuLJKOBEjJTWjUMoRlMcmUkLQ3jkFj5cyZInGxhL1/McjC1TzCTIXMsVc58vlP/+9xJs/86Mmb/gKnplLcdm8nhmKOciSMciNJ7UceRtNXz5Pf+COu2w7hD8R45MMNqDMbVBPLjL8RZyalRBXLkypBgTiCVJqRc/O07N3K9LCfRFVBpqxGHk+TVsvZiFQRVqJ8/oCAkzcrWA81cvXSFUaEm/HqduPoctGm9zNyxsvRI1oi02XiaTGOggNLPIlnGbqPNvPcZQ2V8xk2cZnWX32OxMUptnnknDu5yt89M8ET7zyKd63KPnZxLbmbuZE2pv94mdFrGg7d141BGEVT9bM672HLwX0sHlvkYOk0/uk0n/nMLL/98SKV1Wnu+7c7OOOOoy9VyVQjOFbL5PNqRH4LfzFop1D0cebhB/nKU0+wd7RI8Ae/RHzrbqzpCHqTmZheTcIrQHnJxp2fuJcD4bsZj+7i51/8HVKfCUvDCrffuoUVtZDC+xHa9FF0ejEb0+towlV8MSHpbCOumQDmwgpSk4OkNsOx+Rg+pZVaa5r1NQmpSAJrh5ONmQyrN3XE9Rkajv4CITM8+oV5tONxTr71G9pzHSza42zYFLiWyohTKsStEoSaNCpZCr1PzpX33Dz4yAADlXn0PXsRVt1cPrOC/XADi5EYhekQzZ1OKiUdmhoDQkEakahInylMaxvUdegQaF0c+70SkURBKVZlIpJAp08jUFVYSSlRaPKIVFmWExEqIhHBtRLdG3kcJjVihZxksUAaA9NxAXXhmzTJ/ZhkNhotVUJFI6Fylpv2BLTpWY5H8ZMnLSkzHxQSlFTRaZfxUeGqt8Lq8Rk2C6ocvsdKx+Zmhi/OIDXVUbFI8QXLFAwCdF12bKJ55oZjjGOlodtGrW6dqbAMk0KKMBiiiACrSkZxI0NVAEWDkEohh1AoQC0uEPOXWMmK+fhXulmbdHP9QgT/yhoPbi7Tc/TR/z3OH730qyd9SSO2h/cjiCQ48/J1HIOtFMIbTLwxCRU/H/zaQWprc5z95xE0Pg96YZTZSgJTXkZdvRJJNkLLwTIFq5y0EDCpUKlFKCslpJoqGp2chDuP3WnEmNNwe7uN2uVpLg9vMLC/lu0qHemAnEIhzqb4MjUFP6qGNqbeD7LglyOuJjHXCFl3aFA3SRBrVJw7FuKDH2gnOvoLDt1qYuyHb9NR2ITRGSO9UkTaLOGf//UUhZkRtn61lYFEFWNsFvmBXq5NeahEInjzeqzNDdxcXyR6aYgvnHRw8ucqfrewlxvV59n4+ifx29rROAzEZ9apzYuQy50M3m1CXh3HEizQ96CNsF7GZKaVOz+1l+t/OEP6wg0U/jjjV6eps5UZed2PIa/hX07mkL7pRTpTZDDzLhX/Ms+uXuXK+RwXBS049DYKuQ2KmjxCkZQmkQFLRUempg5/NMWmJhMjl5cZ2NlEwKpA3uRieSVAIJBD6bTTvamebH6WpDlLsB/MPvje2jf49Bd7efrZ9/gcrWj21PJH93UC5Sq1ESXi/AYjhSomaQ+Z9SjSliauEKQ2v8qlS16SZSMN+yqMDg3TMCBCrd9COCRiR3uRvs0C0vE40YiEVCVJ1qVnVa0jHzfTLAFP1IOmTkg5W0He04OrXsPIDTc5iRplMYrOqSHnzyNTFdBrJcSmoSwEkaRMogSZoo5KJMD2ugzKXjNUZWT8fi6840OUyFNni9Pq0qPrbELl0FFO5kgLVRhTU9wrvIBtXz9b7rkFXSbJ8m9WkW1Eia6JsGzSkfBksKU3MJfFRDJGfMEINrOXnjutlLwJ5k8s0egoEGiwEEkK0NvkpHNViBVQyJXkTU7Eigrp5Q3yBSHWRhNRqZKWLVpykWUEK0FMBgXt3QoyDTL2bPsTemvPrF59Um+zkFXUEb02j8tSRn1LNzgqdLWZ8UyEiQdnmF9eZnvddgTxeST6LAGdHnWmgsRVy2pCQt++LPOLAcTVDPVWGxs3wuhrLJSqKqJ+CellH9vubef6r0XY59w0K0scmw8iOJOmu67AgbpVNPKr6GsDTJ9e4raGHjxeESG7HqVYTU2vCfdUivqqD09FiK2twNuvehlSbaNdLOex7jLXrwvo/fY+HE4NmhUh0UYzK7koTXPrVN5TMZ2IUKlVIgmuIi9KiEvkyGo1hMsa1KU0g3cI+fQ31cRyv+TfnoTW8V8xKrUh9a4zHdOwf6eUdFjEyWshhk4tMCI3Mat0056YQ3zqLHVjC+S7ehFu7iIYj5Fra6bdKcQ46MDs0GMUX+eunTkefvm7bBXeZJtciuapB+htdtGbyhCJhMiqaslq61H4qpAOILLKedvcT+LeIzh2tzF3/HdEJhe559EOeu2LkDcS9sjoUwi4ORLEr9Si0JmwtbjwvFDm7R+UIdjKrl0uDt0zT0L2DjOlKFturRLxrqPQ+4n2xFi8amJqY5H6PNT0N+Hwxzi7KMeYT9DhUrFwPkx/0yDeKQHFfBmbIUh1bY01nxid2E5OV4bdnbw7b+LbD+xAHpslMnWRVDd46rKotgu4NBLi5kSCj92p5dqxOUzWOjbm1pBrCsgNQpJZKU2KOAszCjLiduyVNKFZP3/7le0UUiX+8Mw6l1eMRORadLdZwVlheTJMjVhHUSQgp1TTbZKhjSiInYsyGSrx1hsrPPLvD6GZifHwfU5e/3EEZT5CY0MOX2iORJ2WtoiQgd1G3n29ytK8l7vutnDZ38ZLx9x8+vEQYwshClUDSqmYUiiFUS7j4rUgErUILGbMbXpU4jxD5+foaFdQdOdIZNXIK1mCiSwrWgsP7vrv5xiE/6NMIBatUE5E0FybIOyJceATOzEG4hTnUljkIoyZElZTnNoBNS+4J3jZJ2ahxoGjIKW904AjvEpmcQVjSUbyRhyh3EEwJ6alz44/KqRQEVNcWKQ2HaNGKEW37EPU0s7q3bfz151OAhtneXaiiTNZqCbXkB5uJD1Yw/qVMRoNOR7+5FZmzixju+fP2LnZgjMQJZMXkk2U0NcEaP3wZl6O5bm8r5FfawT86wsbjC6vE1gLY7ptlYuqEO/Ur/Cizkfl4U3kNOvoZRHqNXEeaVsnupYkc2oKjdXFvOUBGr/2WdCDQODg0z9foca5hLXehiaSY36hyutrYerv7Ocjd6mwFgR4fitCfk3OQ9uVWNsdTE4niZ6cpq08jyW/gX8mhiaW5tLEebSf66b2qZ9yb/4orasZnEUn114v8B+/Pst5ZQHXHiEL80HaWquUs1Ky8Sp3GnUUQi4uPunhS0e+w/YWF6GbZUbPbrB6MwjSaQyOGAlrltp+O1qpE6M3h2MhQWe9mVc/nuRHjzzL/m3n+X1ghmvzYcRCK/lMM+6Ih6B6mf6jzUQ2FnFuEUJTBHF+nZVsGU2bkbh+lSvPvYGgVU2rRUQpWsFRL0ZslDCu34cqU0NLtIpMLmFTi4naci3eqSKnn/OhTNdQRULIkKTHPIzQN0oqFCawlKFz7yDybBBbrYZQUIekJCSqF5FVmtmoFDDaiySDQR69z048oOAnn1/gkm+N5l129twhR+9KU4ppqJWZcZ93M/PbZTQhEYbZMhPXBCz0/CXGrn4ab7mdi+/lefq5VSa9tTw+MIN+rxF3s4QVjQtf4zayyx4q0+N87Zt7WDozQ2o6xJaPtIOgj7qwlIE2C0VPCoHYRFypIK+tsv2wDvOAHl9DLceXiyzNhuhwGmgzqPC9myA6lqLeZqAYztCmzP6P/v7/E4BDZ59cmo4gs9XQWF/BNSDn/M9vUJDqWNqQsX4pgcaYgmqZaa+bu4/qMOpA45ETzQiZdJdo3O6itUPP6y+kMe9vQZCTMHQyQi4UpGZLDQ5RluYmK5duwnxMgrOtREu9FEG3FlXWzlsxAYLuRty+AqKxSdobm+mPQaSiZ0NSpbC0jKNmkNR7yygCXhJtJpqUImyZKFgkpFZm0O3WUT+4C2nMh9EoYuxdP4ddTZjmU3ztziy6nQOsx8SYozNspCR0bLOwlnBgv2Ufl777Ln1HnWRyYRpmTzBQOsG5L2V44PhO/mXKyehJDUf1XkxaITmLg7tlJ+nozlNYOo06L8L6/ijNm2QEPSLu79JxejxKf12RhiYlrcER1Ho5dz1+Gy89cZGXZ12ozyr5KCWeDlc4rjRyy1fkVKVZatUS4n4BNpuU1YkCZqec6htDfP2PS9Ts3c/DnS9RY11nW8s+ysZmypE4OpUYkU/I6FSRJqOcjpQKvU+GTZijKE6QdMq5MJPDu5alrceGVFZCZxQyOhGjb/QGe9pqSFfVtAXzSLrL1K4FEQa0xCdDLKtt9LSqCM+VqRrqsbXWEvEWsWxSovO56W1qoubdUbQdTiINIvyqCjsP7KBmLEHgpYuYC0WilgryGkgkhSz9LolVokMYTqE8egD/xCx2RYKwT4KkoqCkllA7Pkui10b3djORaIB7NgvxXtvg1JCIhgeOcLgjhHpklg1lDTfSKg7ctwVbwwaWeiveZIHsaoSKVcuWThNLUzP4izqGrkfI/c1/EBufYP6tIZTduyn1iakxp/H419lidHLhX6/QunULXXc18P5zq/jyaj77jXs48y8voaxrR13OkZ/Os2mfjUuXlqiqQWHOEE+k6G630dxkxKiB2LyfufNx9tzXTNFZxR8RgM3Indtu/ROaEI795Mn6tlr0PTpM0ghzI7MMn1lAt6mRffuVqFIFysUyikqF1oYoXS4zJTdEJXaqdjHoxEgycWbVWzk+EuHWbSHyiSrSLmjdncX1UC9rVyJcfzeIvFRic2eCnD7C+YUMiWoOuymL0DtJPCXhsb/oo3zlMmmZnnfdKlK5JDlhhU33WFha85MrJsg16FiXVZEX8uQSBSwNChbnN3BPJeiv6WDywgZpqZHNexXs/owTz9gYf7iQJFvuR3X8fZoTblZtfZiMbvyaPJfX9WzMGDA6tPR7Kwj8y7Q3CAnuyvPDf5vmariX5u2PUkjrOH9Zjk0TJDJbZlNHkslfBNj13e285NGjaNjLbLSJE3OQc9VhvfMg4ZAMTTLD9etl3n1hFfvWRvalRnmo8Rlm1SP80dnLvb/dwd3boLGSQugt4pnMEyi48fsgFEnzySceZky/Hfe1E/QrZ4lmNzE2VcfV15fJFZMUW2wc3n476p0ajMlRMuteEgoNVaeOiaEpzs3oQONEXwhTV15FaXZh0uhQqnWYFyfo+szdeGsauXwuiyCjoEurorSRQWJuYeCAAtnsOpduJHA90Ii5XkpkLYTOICVp2k1YfxjTwix776jQtq2Oi2+ewlbaoHByDGQWkjopGnmKpqKTkd/UoEjKMKmrVNJFWvqc2JZK7JzxEc4ZuXlzg1va8yhIkm82Elxdx1hnpBAPcubiNLQrcTVKcYTcaCtCZEIF8XCU+ednEIhBpVGSy4ZIa4o09ZWJe9dZz2upc6oQLqxQbRTxpcF1/uIXnVw/KeC7X/kOz91qZKczxHC4hoq+k4vPvkObzYDeqkQrS5KKTbG8XiIcl7PpUBMbY8sIJHk0bS7i3hB2YQK7vEphJERsPIy+kmbcm8Kvaqa2R0fav06hIEWcyHDHHff8CQVfS6eenFDWcmI8QoNKgMEco2t7G4JSFc+Zs8RWqjRt7SasN5OIlnGUpCwG7JRzecSqPIJcAanewY2Qgnpjlf7kKFmpjao6wOXZDeotHlRzN9AJlHR1dZC+GaYoFOGoE7Is02MzW4kr9bxz04zIO8IdbVHOLeaIyxQM3KNF5kyQExXxJSK0dwh5/8wSjXuNVGU1eJczGNQaSqkycrkV70yE9sEyFZkPr3M3J39xhX1mJRtxDbfIktzRWuEbExVC0hxD743jaqtjQ99H5+N3cOz8awSmlukvSRmx7eJiNk4NNmqbtWxZdnPskhuVJomvbgsXT8i5enkOb6TMvDjNtCfO0xtprl3LsPMf+rntVhnNDe3YptIYUzKk+/fg6sqiVgWYUWo5q5Uy2deBeJMDbVLHzXPLHH96GUFRSU5h4COfsNPbKCZWEKA7EkVgHWH9/WM01RhYatzJifNBNpRVPvzJHrKxHJOTK6yPrTJ9LU3zjlpkrbB+7RqbakWEKhJuMRXQN6YJ64wsxAuY4k6c4wtctZqJFUP4F6T0dfdzYb6ArncT8YCPK0Ed3lCUqlhCbZcTLA1oE3Zc7VryS+tcnFHTtkXKdV+YVX8ei1jC+eeW6dpahz/up6otEbTokKvFnPGGMMiiPHYoTu2eFk5ORNEVAtRcnWWXcwVDpxOfTIiutoa83kBYYaJsUJCJJLkxk8YrMWHuaSAzWaTRnSBXgl2Nfu5+rIu3n5hBJWuhVdVA8PpNpGYpMYWCVMGCw+6guzJPV7eJ5uAUV751lbU/jPHZ797PWM0tnH1+krucbiKxJPYBFwZ1GoW6zIKviEIs4pWTPvS1JSJTUmzNBbabVhEYFHjXC7Rv72DqeBqpSk1eaEViESGlxHBEi3rPdtTCMKFggHiyyN576+hrveV/j/Mn//D6kwM1JYzrduonQ/Sux0i7a5i+uk6mtRbPegBHXQS1Io7YLCST0oKgiCaSQqFIshDwYtlm418f1RK8EePVP8Spa3TQ1dZGR4Me+St+xPX38NuX7iF0ZZTtDRqEXUbENhg7t0heK6QhG2Prpjyn3lTw0pkStZ/dRbO1iKdSIB+Q4giGsMRXGbyrhR88d4OHG9uJtzQyOZJkj3YZmcKJuuDBoh1H2qBmTFZiW1KL6oUAL7wc48qWz8CgAtHmNsqqZnoa0xQ6t7N2Ls/ehjxVwToDBhVbWl2ECkkmkgus3VzCaJSgMtgIiwtId8jprRFwsFPNk9/to75Ly84f38ZSi5TsdJmKvAP5hTcxM47cWcN7k04WPvgQj33+CsGX3+Spk1EudpuxltaQN2wiFi+gblDi9y3gKF9l60O1GGwW9tbLePOMhkspA3075Yxe91GuKKnT9xCINVAzPM1TX25l3Rfk8g/e4fHHtnD26yfo21uHtmcrl18r49l7L2+d0fIgF2m7YwsCRZ7VJWjbDYsvTJN55Vn+0mrgepeNyIKOUlMbiUSes+MLlDubOPjVBgzpd3AMWNl6pJapWQG7MkGmh4sIdjdz8eVZPvqDDzD7ykk2TeexLepQ1Qyw5Wg7Sy+epDG6jvf4IttuaWJtrcDyfI569RpnfnWFl9+fpn1rN9FQlJJOxeJ+OS+OSZhP5+g3rjI3u4a5EEMmEkOmhOj/cvbW/XYe1rXus5iZ19q4NoO2YIsl25IlSzLGVMdOE4cacNskhZz2FJKqTeGec0puTpukcWrXDpplyyiLmba0tZlprbUXM8P73j/uJ7j+EOM35hy/Ocejs9PiclDO5/C7lYSsas5tfYJXsl1I3vqE7536C/7mqJy1pTrWeoqmRJbObAW/Pk0xmCS5GKYgdSCLyJgJy9H+y91841KGfN9e3v9oH+HkMG2JNLckerImFYpEiY3DbTR8ZfZsFdjY1ODCTTWxaQmDfVpmwyaun83jdKiRVjTkl5NoTRpyjTrFooF2nxarrMDSrWW0Xh1fPODmymScA3s/hXO+/f75o2qNgMluoz4+hy5Rp6xO4mzVoqmv0NOtQKnNUxUl1LGRqZrobFEQzAnkelsZ6zxCKNxM8tYYgfPT7LjHi2ubkeitRRRjS8hWHZyfqZC7/RFPWEbxtkOh20xoKUVqLUDdJ6XebEQ54KVWzmMd7MKrgyafhDOzVbTSKmqpiZk7SjZtqTOcL/GLN28Q1rTT9kQ/mQvvciaux/mgmeUtNqZXwrhnxtEmdHz7z4fQtXTxmPwGB0uLhGdV3HljkR1P7WHhepaG3IREpqZSESksh+jpNzFTVdJzuJND27ajwkzocg2lwUNuvYg00sbPXzzL+PUVXj4b44WbW1HLy9DWiyHrpF8vofrII8yVkziqs6zMh7C1NJGVhHnuPzbwyG85WJwCmcKFHy9SU5xsWwzpQBChzU3gdJ58yUCw1k1DWyP66jSKi5A7KfKFI3ZmikrCp4JkjVpmR4383jet+NV6pqR+evq38d7pOzytXUOvFBi/qeVXZwsceKCTlblpwqtyOjc10ETm2f7wAXpePMTMuxcJNDzYmq2shzNYcnLmEnq+82g/dluG69eLZNcNXD9ZIJ2yI3fayJElfuEc6Z4N6MUyn5+IUhsL8vbbk5y5tUjZ58ezuYVrJ25h8MkoSUvobkTQmeUIbh8We43nnj/AWgHMjgTqnjLFmoNSWYfDayTkspAQdGhkaqxaBUqLnEi4jFwsk29o0CiV2BQN4skal398kekZHXG5iE36Gr/z51KiCimlghTRqUBaV6BzWcmFU9htOqxOKSV1hlJGpDia4H5pEt/HZxiwVrkYVbP7rlZWfn2ZhlRNVS0yuyShsRonGGqlFFSSrWlp7syjNUUR5WW0fjVlmQJ/twxpuUw+X6FUqyOqBUq5Gjva9OgcGs6cU/DEowf//4vz4pUzR8OxDJsGVcSSQU59kuWBJ/0ox9Z582YeZVMvRlGD1zPAzEgNvaKOWi3F3CHj4k09hT1PU7tTxqLIMbzLRzZXZX02habRhFgRiEjA1Jlir+o2z/2gjxvlNmbmoHojSrImInnIxwcZI3ucdoYid3D7jLz/4wuYevWs1BRorTJsRTOlhAOlx4CxtYPsgpbA5AWWbmUQijo+8xkry4koJ5aXsWrq7N25hanXmwkmC7w6Jj2uiAAAIABJREFUVsPWK6Hbp+d/XywR0xToP5QhcCmJol+Pyy3gckVYL2ZIxxMUlH7mghWK8+u8/VGWvMzBgYctHOjQoGytYWyzUN/g4Itf1jF7Nowxvk5tLYOlHmbIp2XBXOIbD0W4NDrG3IyWTa4iX/37ZpSZY7w1sUp1PMx+R4FKKk1MIqdvvcAmvZqllwW6cWO6EqIxs8qu5/ysz4k0WWeZ+uAkXfERDPfs4tJcCMe+Hp483GD39KvU3xOJNHcz/ckZ7P/qZ/HqOn//kxDfP/YMP//ZBYzuFtTGEnK/F8UWGat1Hd9/tYsfvSjjr/7JQ1BfZaSe40RykdadWwgthXnl/DzHj8U4+KSfalJKcFJOi6EXc9bK6Tdv8vnf6SeEC14e4Z7ZFcarDTq+dT8nhQYLWhUSMUgltsqG4W4unw3QZ5eSNYN2ew/FThMrIQ1jV6fY3FWifauNSjRNOFRFo9ehaTXgciswaxvoDCASIh8W0BmtKNMCMoOC1Owq+ZUAX7t/mA8DOfwbbRQkKj63aZ3IWxd54uFWqtEwl0YyRGIW+tBxZIOTf/qgQtrSTHtZgk+hZ0hbIbJ0h1VjCcG0wkAth1C3UBR01Ax1IgkD/QNmHLESDb0a20YnifUIeneBvMbKUlSGIZemIa0SiJfRufRUGnL09hqB1TzDmyzMrqmZmM3y+ac/BTz31PkTR6USkQ5vAY1DyZ3bBZJrq9T1ZnK7N7OcLWFpV1KYy7O+mMKrlRDPCfhafGgiSrb3DuOQF5BPjiEWi4Qn1nB0GjFIK3T4lKi8CiS6IuWKlLUFHWvreuZicob6BlB98T4m+ncS3rkL18oSd94Yo1JrYPcbyedLOMjSbFQjn5ewfK6KqlJjJmfhge9Z2dVlZOTUNPbCKhqHwHS0zjO77Dy58yGufn8UYedmYnaBdHYJh9NJs0GCUSHBe8SFJq6ExQhWS5WGNU6puIagHcApt6CTZDFvqnDlyg30/jSP/t4OfvnGbc4GQ8hS4wQCXqZHCuzdPkD1/EX8LhGxZqJsbEbZ7GJ2bI6Bpibe/ETO5m1qxNg0o9NR5mfNuM8O4DHvgqyLtM6DLCvw0fde5Hf/9Zv4d8CVr03TGVllvlZG1ZZkd4eabfdZyWW94PMidG6gt25j8fodrIEIsrSZ26dPcmjfMGfOT3Dky/cQvrXKpdFpvvWDg3S1S2lMSjFsdiHUpgndmiQiepC69XzhG02ELozxg3+YYq1viAN/MIx2cZTdjgymvAohXIVQnvFLYZQ9bnZ2qtHcidOvV3Po7jau/PcvcaQmMNyfZnRzB/OFItJmP4+2pmhamKXlkQ6uHVsipM7T8rCFm++dI3p1hie+tJk7l0JQUVDp8JEYz9FmjTN7TUn/Ngc2m47QpQXOvTPH6lIcb2eGiQkTad0O+ksF1NElFO0aTHopoXqFrkNtbPOsEMuIJIprND1U4YZpO//4ixWi/k0c/e4RLLEQwXKIm7dnMLfJaWksYyzlidy6xJ3JEN/7+DCf/9YB5v/kZdr2eYkGxtGZMqyVrfhlRVSpFKeuxdn9tQHmRxZxtMqpqwyodVL02TIZvRw8Sho6FcqGSFkCBbkEwapn/k4Um8PIQ0c+hXMee+2lozWhgcKqxGht0NHqRFB5UelFsu0F7M12LDINGzwmTHYJrYU02d59vPt6ksWJ20yO3mTrtiqefBjBpkClA0oFbk8VOHtpjYmAQI8VVhICuVorDdGNw6Kkc4uac+sSzs13oJqOY5lJ8SfPP8TpD8eQ6Iw4W5SUlnO0DelJFwQGaku0m8LIsyVu3AigdRgZfLafTXo5qn49+bgP2WqU8JkCJ1+bYVOfhOXVSXa1+rAdn2J7SCS7lKfZV+XWWJ3itmZKYhD1xhLhtRThoIQ2t4VEXsFSWKCt4OGLO5vwRJTU0wl27OpBCE4hFhS03OVk/HIB3TYroblZcnIjhTroTHUUEilbB9xkVxToTFnUZgF/Ux6V3sMj/Wq+YiixPj3BFY2fDd8+wK/fjpN+YYYHnv1DhI/jzEnzPPezQ+zuFFgcVfHnP19mcuuXiGzaivTSMrlTJ0lXJ9j+QD8fNo7wH9clSG29lPa0otIvobTaqUndvPdSEsMGmBw5S2ZrhJWdfqZrepRRBTaFwPPfyPM/Dv0L/yv6l+Sa9zJxKohm9QpD+zpBa2SDR8PhJ9t4fdWBXKyxp30UxeV5WnY2E59JcOyjy3zniIOp1Rii0cS62Ia3UGNo5ASnjk+RGT7E7LFrfO6vh1GU59nepsbT3IXcamFsWY5OpeGSrI+Vhg+VXWD3lgFe+z8LvH0siH49R7gu8Pu/M4i718ib7+ioyrQ8PJDi4pl52g91otYqsDWZWZgvkJ0ZJ9m2lYmbGlJzDcKSQ3zhR3+HYr+G8D/+kOljr3NwoxeNzkK9qKFUs1AT1dRRUfd0o1q6RuvxX7Lr/RD/cu5l8i3jiFPXSao3ES3q6HvUz0fvzdDrqmIzaygpJCglagrhHE4BVE16+vdaaUhkpCMl8vE8SnI0W0FalqNRqzhw76cQ56Wp80cXBSNjSwochRB9tiINhY6yWkPBb0SpNxM5MUVdpqRuLGLQ1LE5bCgqRu7v01KZDROqq9AQJuHQs4ADdb1Ao8OOwi0nkavS0DrI623IXB6copKq1s1Tz5ZYGz+LsZZiaCbBld/cYf/TDi59FMGQA68CEpfyoO2hqNXitTmoBrKItQJlv4/YtAv9tRxvf5hhbuv9xKJmrLUVfvs7RgYP7WJubJXeR9pZPpnmIbmW6EcTnFgKUs+I1NfX6NuhoLMzibHLRXkccvUk1hYTywEFu1BwaK3A8ryB+TUPtlYlpXM30UnSiEaBaNBJ5NZ5Dn7FRaWgYtK3nSaDlM7kMnMTKsZGDbhlOVbX9DTJKzRuriPL6FGUC5hPTKFVOBgp7uJiq5vOzw/Q+dP/ZFVnYG1RR+bPtmOY19P38H+xPG2hKB2iy9Sg9coNCH/COzdW2PHcZ+j50mbyd9bJ9wzx76el/NFP3Uy/doWbWj8Gu47rH/yC+7+4Ebtnjk+MItctQ3RJwggTIl4d9Jj0XLtwka8+3Ufo7RDGc0sYZ4oYs0ZkARUzL98gHCogz67zdOFNDh1W8d1/06HZtwmvPoCYS6NULXNVocPe1UU9UKLn4gW25pfIp7U0mqyk4jnaDm1icrZBUqIhqG9mYl2GTF6nYDZzXmylrNIxemyWTouC/vvaaB2ssPNuNaOhMssjdcbezJBo20uHtozLm2bhRglbh43pOwmEUpFMrYzSpAF1HoOtCUGl4ZNjYU5dXsRhhyHPJJpNZk7k7GjreoR0gZpUTkapRKWXojKaMOgsLA0NUfvmt/jXqQTZhQBbawFCaTORogGLukCbUkM1nqXu1ZGvNVAZJJQSGZQOHVWxjlIOiyMhGsk0JoMSh0NJJS8jnJBTixV58LFPUfD1X8ffObrhsJWiXEdgTY1Lp6JWBplMCikFLdNZfIoEGVsT5WKMXOYarYe8/PP/nSJaLiBr0aG05NCqBJ5+TM3Zn4/j2t7EXftcrEYqaCwaur5uYD2UBpkJf0zk7Aj0DVbYaBugX5lGEw6j2daETqhy7DdzbOtWESzNoO1UURUEyjoJx5YkVPcaKcq6UOfraINKlF4pSUMJVb+M1bSafDlL4+SHCB0tyOUmKMe5vTbAjqe70NztJHSPncHhPHv/cB//nZviH559j1kxS3x9H9KWboZ9fhQyOYenU9x6aZI/HduFTd/EhZNhThZ93LOridlkmenL09z77U7Mu1oxbfoC/3jdhGp8hK2yNYIrUgSpgi37mgneybDVlWNws4GP5qwsbhrkhD5F8ZCUjy5DYrzGpsU07SM54lfhY6mctXfe4J1Tp7Hvf5Kew/ey5aCKbZEL+PML7PhsD9s+68KkXGditU5l3Ya2v5WFuAy9fAmFRcA8pKPFIxCOpKnu9XJXYxG118btUSWDqTCVmyKZUgWDy8qY2YrD5mf8J0sEp4sIQ3ux6mtkfzVPw5Hka3+6GbWqwA53noKklb/4jYrHP78Fy+h5HHUZlaQJdccOOpuM/OcLJ/Aa54mYwfDI3TRsOmYjKYShQaR5O0OBItqSApu2gC8+j9ljYKclh7luplWooLx2Bc8GA/Ll68hmbrH/y/dg7hqmXM1gdNbprAW4PFuiaauf9UiKeKBEPVXGptchV+pRSQrIMzVsmjIHv/4AN98YZzGUwy8bJ68309SQoIkryIgy1Bop1KoYcmnKkTWMbgvfP2dk4plvsHajm4eyEtxLC8hcNuYKTqwGFSpNgVilhrTVSa7UQCOW0UrKuC0KspEykWU5sowepVtFSa4gkK4TqZqxu5VYFDX2H/wUae1rv/rl0aE9RsLjGW5GrRjMegy+KtnVDPVKFYMzT01fpFrME0vJSai1LJaq2PulNJJFzC16fHo5Gzbm2TUg5w/+8GMuJhR4Npnxbunj9f+8g16uxRQUaHMqKKyn0fcZWY+ssCS3UR4x8eiQm5IYZuTMbRbGi2x9tB1jZwJ3rwpnOYsj1yBftVNqcmMP2jApa6hTcnL6Es3eErpEGE91nUGTjkTSQtbiRloQSGW0aI0Cr109xTwSTPf0MDpR48M/qKHf9FX2+TaRNvtRJvYQ+2WRF//tOH/w7Y2sN1wUIkGaui3sUr+L85lNTG31M5Be5a7uDpwmM8996yBH//I3/NVVPY3/OYPy5iW+8WwLa3KRsiTFE8+18TdffJ4Ndg+doonRSA/L5y/zsHiduzaKXJzK0+MtU06+Rmq7l9N7tAxqs/S1qrj3kVZ893TTpolhv36bweunKZRqnFC0MhucIacUmMn5aVcJWLcViZkiHHv/Ej1ON5Nz0yzcWUHa388mrYzvjHyIftlDqOAgW5eh9O1CnxbRlEUSu3eivh7Ddm0C0apj8JEtiPk0sdAnPPP8XnYMdvCX35zBfvBZXjuTZ/9eG1/oSqOKzXC7asTWb6JlUMlP/iuKaqeLx/95EydSVebXHERLUtqGTITiS7RK8oipGsFkjbaHBglEwuidZdJ31lA16nTe206m2YQoT7LUaGY+Z+H6kpy21Dg7u6vUdQbWpkXKSyU6OjTkZA28HS7UOhXymoiCAjWZFbtKJFurYzYHMW220GkxoxxJEox7qUVEomINmU1DUVrG75HgsyvJ5S1IxAb1iRX8Vgf++SS+42+gsJTA18r6Wh1FNURrt4KxiQg6lYpyvIBOUcJolBGLNQhUlSwn9HiiIk6ydLsV1Lw+XvxQgYcCqgbc/+CnKJV++ZVXjzZpFZgdRXLFJMJ8HFejhqJiRyKtIGAhlJdSKOmwOAxI1euYnRraN7agz6hQqgwIeRGtqZt/fEnOjGoTG57ZQHlsFOV0jMEn7mP+9izmzl5kqSi1qo6sRE3FpaZebJA5GSJ2KciqsUpYChJ/E26nieYNUgpLQdwdblZWlMTrrSQVKbwhkY7dMuYTJWIdClbn6ij8JjJVA/JgFNHbwdpSlfVXb1Hu9bKxKYrBlMKabuVyuU6hux/xxIvs8q+hVN/hgsND+byK7/74bn7xSpRXXnydr7xyBE3mMk87rmPRrdJZUfKT751CM7OOfkTG3HsLDH5+I1c/ucmGR830buxl5MNzfHJVSU1v5PZqjkee2EIxmCCuhLu/9Bg/++Fpvv6cky7TCrJuP4tBNaX5AB2OCrvaswwoKnQJKhr+rShcTYz8+Cq6uTVUPe3kKwJhuw3ZLg9xwUSgoqScGCbUMPNg9xqr+SlcmwapXqhyz1dsPD10D8sHN1I5keLhfg23FN0sue0kzp5jmymLbiBN22KagsYDF96iLzuO56n9dBkh/NbHWHRyVmt1YuEyPfoEo4YecvZettzdzbmfv0sxUSFkbsN9sJNXTpg5cdvIoc/aWbi1RCMnox0Ltlwaf7+ZQrWGWSmQCooshSO0Hu4ip6wjaiFfNFJPyDn160W2PrqN7FiAaNXOatlAXjuI222nnqwxt2JEVShTvDlLbVWOwttDZu0WudQEiVoJt6WCrWzBF59HparQ0IxRV2exS+WIeQlFmxWzu4qmWiESyJNIm1ClpUQEDzpJHauxjEtaIBktYP7kKke2rCAOtiK3GIks52jqVZCsi6RSBZodagoKDQ20yL064pkybXd1YHNqaJZCPraOMDWFecBOMZLC3txAoYMH7/0UY+1bpz44aslKcNsyKLQrbD04hAUjimyBurKGVKwhseuoFSoosgla7XbWTpeohmU4TCbCiwGcTinNejVvfRzD01xju7vKzg4P1nqedr2eXKCG2t7ByEgUk0+DvLyOankJaUrGcIePM7fiFJxd7HfDE/0qZJEMzdEYspSKCVsHL9wu4d3lo20tQj4TR96VwrSnyHq2gLkkoK5IEQsppJIyQjlLUZTwxHObqQ934p0JkJWWKDaMNHcoUdWKcDnI7/1hN/HLy0gHfTTXBUK5eZ74gpeuR5RUq0bem2qgqGVYVXfxyzMOZOtJHt/fhd/eR8KrZWV+DK1NQmZsgcceddGzTcX+Lw/y2AYrxniVsfeWmT5RQ6EX+N0/PcDP/vRVpG0GboVrRDzD9O3twdHcjdRgZqrsw2aTcFdfg/VfjBCtetkx3IquTU5Ys514j5dgsAAdKa6sTuJ8oAlZXzOXb9aJiAlGbiXYt8/B2Bsr9Hz/swi3P6C4dpXmq3Dy3Sz/c7wVzZMb2L5+i4sXFvnjn/wZ538xTSERprP5IsMt8F5WyQ//+qeckiV4/mff5UfvzPDy357k8IMSurRlbr34Pg6zjo33eBmdiiMxaXBXsrz4T+fpkyc53FdCVlAh1LQUJFDIK7Fu38D8aA6hp0GmwwiKBPNTCeRVObVgmhIekNvo8KjIji4ilKu0mkVktTztPX4klQryooC2ouez39jOlQ+Ocy42zVqhiwe3B9j5rBLrgB+FyoxxrIBYkzFv0RHVKVFXtZiyPshJSa5nkdVgk0bEbFSSiAhMXA/SrkmgXr+NriYjvnMLhiE9Q9trGJs1eFs1hCayxCpm5AqRYlqGyaCmEBcoYyKeEHA0a9DoG1jUNUhkMTe5iZSltHaZ0frKHDngYHI9i1Qu56G7P4U4L4786qhKpqZolGF267C0tPDhv0qIX13AqRJJyeWUGnLczgaePgeWYYHRfCuzeQ+tVSUFn4vA1CyK1SL2Uop2lwazz8eHZxZYTYWZCCdZ0ruwdbvYrlzEsLDOTNSCIbSESS6yHl8hI1lDUV1AXA+SWFsnM6JGW5AQ5Qiva1wkymH27ZdQXluiWO1k2zO7cLeXGbk4Ta+zFVncxGhBCf0dBBvrqCx1OraqiQbSJC+L1L1q4jE57uoiF9+eR94fx/r5IM/P1lCp8tzdI0OuTXPn7CRhnZbMaJr4upFKezd2q5R9f9TJ4wddOHbXOXXdh1G5imrlDmHPADeSWgajYfypBN7xGRTXQiyOlHhktcT+kIr8vs38+q0FvIY6sVaRKiLJSBTtrTShVSkzUwUuFy386o04iUSIkuAhZq7SpJhAzMuQZhrEMnFUKhW1LSrufdxG8uej7N/XgaOYoHc2SeqEl13DHVQFCQuxIBuPXefcD07yhZZu5nXgacrRvy+KNSZgq5c58pmN/Pr/OY7P6sc10Mq1xj2UHB1suZTkM390N/131chsN9C+YSsLY1NIxwpURRWZbJRYIMtKWkKvTYPi8hRduSidX2ij0SZhbGoOic2KdEgkn4jSulmHIlwhLypRUcLa1kKyChKVjmzdw6BPzszxW8yoPbRuMSGxK2hvUTAytoZKmkRfClBv6NHKFUxGQvQe0pDs6+NabDdDv7OHemGU2IVxZmI6ehUSYg4reZeOS5em0ax7SV5dRd25nYhfSk1UIh2ZwiutkjUZiVsN3P2ZJjSGEnGzjbSshlovZ3UyTotOAKeaX72bpadNhXQ9QlmnRibG6B6Wc22iQbqYZqBTRChXSUSz1DNV8vUqakcJ1d5mLgajJKpSig0BlSjngT2fYuc8cfaTo61iheiSyE5JD68/n+DVkwt86bNapvQagh1utLUGU2dvk6lGqStUrOu6yYUl7GgUkURTSGMxIk026k16VHo1maSMrkc24Tmixnp/H+dOxOmQKGjKpPn7n32I7bPgGLxCsrcHf4tI78YBajIHoZQUSZuVpv5eRqNr7Hrmq4zql+gSnWxtrjP/1gLmghZ9v5oL/z2HIhxmo8TIXQ/t5U4kT2Q2zr331olKqiQ7JFz9cBzDET+F1CKpeJZCqoBMauG3PtfN9F9Y8ab7aY6o+eT9K6xOSHH7NqOL57CYw/R05ajrmpn96A6nr99Cra9RTcQY69lCQ7EMseuUh9pQ+OyonXU+Nt3LGcGLva+EzFnjXtUK7pZubg5vJZId4ZEHbZTnKtgtBu62KdELIuoNfbTsMuP0W7A61NhNNaTmDhSdFrrlda7mZNz8dYKunT34d3UhasrUN9zDmWePc1dfHJc7R03v5a3jTTz+lJNbZ09Tbq/wg799its/vMDwXz3BbFSgGrnJ0I4SqzI714uH+c0/LWJfWuDLF7Zg/K9FSkEz479eIR+G1sPDvPmRAe2yGXMpwvJaEcHWhKnTgWPAhUWvQBnMkS9rkFk09DzayXQkSq6oY+i3B7gdiBFMJVBUw1j0SRpSK66hdhQKKWvTMxjlIppyGIxuulvrqCVFVhtKOuUB8mYJMkGBHysNuRetVI/RUcVrUzA/EaQeqNC/R8vHL1yhubqX0ath7quFKfi2MXd2mhsLYVy6Gvd9YS/uTA/i4jwLZ4IEnQnaZWbM6gwdbWouZetI/X5OvhfHLBgoaOUommSU8xLCkSomlUAglGLyBrgHzJTrUjBpEcQiVkmBE6+l8A77cLYrQKJGLakj5KtUwiUqaaAi0GLVkcxDIy1SjVR55MinQAD+29unjuoUGhYtOhbuFPDtMTGosPClZ/MUltaRJFPY+/0sp/S0Cmnmry5REgw81ebAH4miSifpHlJTNhgIhHJ4hTpitsJsXsKlyytcPDHFXV1G/ujrdzHfsPDmkUEMlhTZ6XGuv6lDp9UTVRkxtRbIVTPUFeBu8rO2x8Itk5yZU9fxNLwU0klmbgaxN+mQdhkJXEqxXbfO1YsmoiYtO57wEZqcxaoWIWXhLs0W3v5JCq/Fi08DPXv2EczlKFuMNJqGOfp3Mb79+3tp9cs5+Nt7WVqH2dk8W91we1FNcFVK0uSmTSbj7mdaWXs3jiKTwH+onQ9OxJG1OklIy7gaZaQWNZcX8xi7NUiVEWbHLkGXg+NTBwhqXbSYEqiEKPUhMynRRGRUic5tpDoxRk2e4OAzh2nbIsXkraKZD+OrBjCrHFwLVHFIauz/ipmZ4ARprZt/L8KSaxSrZSvb1rKker7Or35YYv+BLDmdBdf5LIeeepirJxucv3WMy7Fm6oN7sUzdZB4nV4/p0anz/POJXfS99u+c+8sA6u4O7P5ufN06yp/bz6mXLyE9+wLZThX6fT1sKtU47FDgtizT5+9CX9ahNUup6VMsl/JsuG8LoXCKcCNL2lCkYHcwM16nbfMmpq/kUShkFHIlBJkcj6KCVl8gm2rgLdfRRaxYqgaWzy7j3bNAtCSQT7tpSBpUbQYKNRUWncDeTiuOQIJrMgc3ji+QVXUx05CQl6aJttjY/YSbB76xGyEdZ+TjNUZeX+anxx9kwy4T9pYRUmcvUfP6eOeshIZGyjPf3YCx38PSeJTVxTV8TSbyxTKKhgaltIqgkVPK62ltsyEpAQkJzaoQG7ZbuT4vR6/V4RFLlNaKlOr/36O3wW2inixRTMvRUkSlMmNuMlEQVDy451MUfL362jtH63UR8b5dvP9hFVMtRC4QItEB8bBAVGpC2NyPmCmgdaQ5/PlDHHp8CEeiSC2VRjSooKWJXMjKUs5BNukjqRKx2MCqSNKjl9F/9xCLV8Z55+8uk3zWh6GyhJRF7LJOnJUGitEsqnCOYNFId28nI6ksMY+Hj6eTzF+b465tWdKhOC6zHlNXGwYpSIJLaNQmipsPMbk6SyqlRxufYZfKy+DgAJc/WiVr8OMcucDGUpz6cAun55ZpC4V45jNbuP3JLE2DFWbHRKZeyrNv3zaUfTWihSi7Hvfw5OHtNEudTJ6MMGRVcOKFIH2HBrF3SvjpL5N4hztJRdM43CZ0rhqPPOrBI5/l7EgZmuvY3RaWInJM+SmUTQpi7TZW6lECVSOV1QKprjZKSgWhRpGXzr6P3hzn5V+mcCdU7HAUiI+UWBgvY2tR4fGrkWt0BBIaLi+u8vXv3MdP//oDFq9s5LbETNP4u3zLcZmDM0mqb76O/nSS/3Fyjv579Qxu0NF530GKv5piOVKl21HkZ/9LQzl1k++8EmFM7af/6Q5Q5Mg1FvAcGWKvfpIvPr7Eik7JfLmFmV8WWDs7jWl7N6/fqvP6W+PYN8up2ktML8TIJC3Y2ptIrmTZuVvNlnYZ+4agoypQUhgQ1VI0qSCydI6SREmg7qWaUBE6n6KnYUM5t8hMpYXBjQL1hThizI5FJkNrdtPpU6JqRJh9Y45G2Ix1z1769krAOMVjT5vx20qE1lNk4yVe/ck8gZiBLXYB7z746Mwi3//pGAOH7sdnhwVbH6duZalUi0wfm0JvNaKUhlFadOhLUpLBEhqxjsWjwGhWkg/FcMhrWMN5ZLeDSIFxfEhMBtwGJdSVVFU6EGVoxAYK5Kg1MmRmLRKxRHQ+R7lUx+Y0s2/4U3ylnH3zpaMWIYfPBBZ3lmh6GUFToGlPFw25ElGrRJov4U0KVHIqYgEpsYl5lsbSFOUN1gsQ2NhL6MqvUKaKaCwJEvEEymwQrduAZ6ibLoeVxRtBxoNy9jBP29kR2hRdWGx9ZGV2jE1RbJusePpbCd5ap6tew7aSpzQf57MH1SilKdTJFAN9KuYvriEEA+xX5SnXBMx+Oz9+5S2d5vhBAAAgAElEQVRun3cyGq2z/8SHdMQmKO3YgnRGQeLjW8hngww8Y+XA43qsi5Pcnr+GdVBO3JPBa9tEaSFOZzxHSb2GVOLk1i/nOf+/T1OajdG100D1+iQJbTvJA7sQ3AZO/Ogs9z7pYoNNiSBYWLugInBKJHnKgq57B6Zsg3xOibPJjzsSZ8AX5/13ltn6gATXQCuVUARzrxNNtYlqUIJclufr93+L5/85R6Bko+53MZtSY1W4yGhCqBxpPng7imUtg/PkLKM3jTRX+vm97/Rz6+YcDzwVpkX2Mab1BpapNGtb72f80fs4vHOFDo+OH10+zfGX5vB+9jN8/0tFAi++xLlxG0///TforOr56NVFKgtr7PxME3//F9eJn1pmPdBg2eRj3roZp3cj4XiWxMo4Z1MqzA8dRJ4JMnV9lZZOC+F4g4LMTHY1iic1SXwhhK7ZyQv/MEeHxYCoMXJ18z5I57BY5RRWlhFWFyjVqtx9ZDNqhYWZnnuYrAsoxSL2bhdVaQnlwgiG9WkG9DJKZSN3rk6iNYWxSiMsjK6x9zEH4YthOlutCPEUHe0KnJt70Ob05HV1gjkt6oFmTB4dP/rRGBeW9XzlKSsuXRZft4tCNETalMLZqkEwalmRthFZm8BqrFLUWzBlywRyGqpZPbJQCldXg3W3kUJBRjW8TimfRGKRYVKWkAsNqlkJgkyCqFUiz2uo141MXS7R121h145PgZ0/NfraUUtWiXhshSalgc79btweM6nxOJO3w9i9AhVllnKiilQuQ2MQEHQQrckIamSUqbKwHmPP3By9f/DbpIZ0aLM1GqIFv0XPA7vURG+K/PesE21tnIGBOCrkNHRDhG/WSEhruHbICAcCTF0LU7NawNLMqmkLTruD0nwQmbsdrdvG9GSY0UsZvvvHm7gyZuB40kxLfYb/82d2lF45czEzhZUQkytzxAthnvvaPvpq82gocSq4jtwMJomE56+244i3oi450Fv9TOmXEKVrhI0ytCkFMo2SDQ8dZNfXdiDOTCKV1im0+lBGw+wyWDj34g3uazZj0gjkk1G6rQWMqgLtjgbE1tAGq5TSeQ4d7uav/32Uw/9zGN+eDoanpRTWy9w8L6K2OtjcAhOn0mwoa3C1txIKNGG9coNvPVllsZQlJS+ws3kBpU7DutBLZ32Gu77somJz8eCzako3rtE7OEmvuowu0sHrd5y8Gn8c7eBNfvhUnCe+Ns4PT3/EcEcL3/3Z5zh0j4K3/vNN9FTwPvs5XvreeyylAzg29VIvpqkqVRh1JRSeXpabdlNEjlGTpcOwjNkrw97qoactypA5h6bJiqbRiqW1jc4uHTc+WqG5nMfltqLasgFZWIe4fy/5q2vcefkySaWGTepxdOkwB3a2sXlbN21DemLFLJHxJPfu1fF/376EWDVSj5RpNEQ0OpGYTCBYU7OmkuLc1IpMrSS+Xkc+l2dDuw9DrU5JbaSgbyAWI4iSAoQUVM055AY5jUyGJoeW/vu7sYsB+ioLhAMKBjZaqSwvIu9WYbPrEI1lBuwRnO5FNFId2bibxmqBnF1HumJAYSjg3mihJhVQ1QR0WujpkSA1qagqpZTQUcpVUZrqmBQqjNEKLqOWyHIciSXBffd9CsrYbPrk0WJQiaomsHGPh4iuTHhmDoVSTc4kReGS4tVVKC8aqVUMqFVKqlYdEuo0jEpaWr0M71YSff99XrtaYM8BLTNnltHJc+THArTn0szPGpmdKrC1rYwqGCKvsVPLeNDVEzRtFGnbYmLm5izqwRa+/OdfIlqyc+GiHp+kiKM+Sb7bhMasRB+r0ubMsH2/ixeON2jyS+haOo5HlsQsj+B91E++w4va08pINM1HH2kQwnfY+2w//3UlRbrawvDGMtKZDL2vpDkczpBYGGa6x0ROIkdokeJQexjudzLc1SCet7L+/lmETge5oJ69y7Porbu5fS7Cnz1dIyzUWY82MNUqrOac5NydCLU0/dul+DurdHZp+Id/DmDpVrPDnWTtdoWooKMsmonMLtLVbSYYKyIsTlAvhGhXSVibX2L/4wpSdTNKo5y7hgqcezNJNqRj6+4hPlhWEPrxCoYbIYIvXWDjUxs4eUrD5YsBdvzuAG/o5fT6x9gi+RD9Z3r52U/+hK8e+jav/PxnvHrkx+SGj/CLcg+vvaXnqcc6CV+cpa+zGY1VRaxaITcTpH9/H+GVLNZ0CZ97gUoqTKOuJlRX4jII3L6UJqXQ4tS38vJ/vItDaPDsH2+ky6NCazVQqEkZ/9Uot2/f4nBjkb/duoKeOq2GDIE1FTOjOlZmjGhNVuYng8gKWjJyNX/lOsWB+30UK04yJRW+zx+gf3MLyZth5lZFWm3NZDQGtGUVtg/G+OS6mSW9n9XwIh6nBlM9jlWoEs44kAX1KBZFzMomVm5P4XVbSCyH2KCKUeuwEr6zzuipEareVlrabEyuFdAVZrm7bwVTrIippGNm0oa/owJyuDOfR1mp43BYWRRMaJ0aJBqB5WAWAYFiWUChFbErBBJLZRQqPbVcHEmxjLRdzcF9nyIQevc3bx9trDZw60pobFKSeQmiKMPkNCCTRNCVq3S1a8kuV0mpJbSaBKolCK3XECYT2FMVMhNR2rIN9jxwH7VYifXFKlpLN8XREHddep/ZipGArszgXhfBXANrQYrCWsDSI0fa42PkkxjSupmW7Z3IAjF+/e0xOhoFtrmW6O1Koj9go04O+ZlJmswWls5ICE8tsDG/iGf3AKfnbVybVFDJ6ijJ2zFIVxj+poa56+uIA8Pocykmzs3y9ukr9PYf4bd2y9i+mkQVD7NQs5HUBWluluHUR7g8o2Tt8gzl969TmE7i9cOdeA1vXIo3ruHHC1tYLWmwyBNUKyUq7TYk5RrLOTVmnwy1MsFCXYezbQNnX4qxNlpk3/1l/E49qY9VaExyXJ0aIpIainSAbRvr3Ckp8LnVBFcTxKVK5G6R+HocX7WEtdRMadpKVyhERSZB3yPSmc7S0qZi5w4zL12WoZBY+MG3Otg67OaHLwmcffF9Wg9380b9btbeP817p97kFy/Y+NLX+9D95Z/yXsTEzsE8QnQUla8ZoSZwe3KdzV1KZs8k6X1iCxKznLmCFqvRhjlfxrgoUND7CYVE1DIbFrWCxGqUe450ECtpyM8FqIRFloIpEstJItE8X3yiyv5tTUyVdKxGBpmstlF39uP1WqksJ7F4Cyzl87Q/1s/ZuRy7vLdIZlXoaxB47w7hiTC520uoijXmyxIGDBEUag2GQIZhfYoVS52pupnhfilaS4U1wUyuoUYtA7slh1yep6CVYtTVOXdcwpULdZjJ4ekzEss2aPSq6btvgKvHVpgoSmgMDeEuN5O5baScNVBxOiiIAgZzFKtNILaaBrmKWLGGVlKgVmhQqWpQ6YzILBZkaj3F9TwSvYOErZWlTBGtMY1aJmf/oU9Rjfnmj44flag1FLv13ElqEVIpxLoEWcyKrWGiNG9lJhYiLXEwVtbSay+iNpUJSDXo7VJqjQxeb5qbOg9Jk43zN9L0bXZTNnkQ0tOkh7pQbLDj2QC9PSbWrq9jreYx7rYyVQSjuo3N7SUWb5aJCTL8Oh35xSxOX4nO7w/y+qjA6H/fxD75IUNbtnLxXAFpNorrri1UVsJofFaWBQN9u2yoymmaqg3UVhW1WJ4NNiONZjmqapWdDzaTvpjn4scp3q25CXt2stiiQGGz07L8AWO33ue+u4f4pGGjvDrB1ickTAvLyEpxGvNW9IIOWaea5+WtWP5mF8Yzb+KxRojoG2QjZZr9OsxdBvp3tDH97hg3zt3GLL3E5h1ufn0siJVVwnd0LFqcROTnqDabKQU1FGopwut11G1K5Fo3VnWcVPkyKlkOicpEJVxHmatST5WR97bQlB3FsxqgpbcVo8NBz04L2zaIvP/qOI/9/svUpz9mcPhzFHc/RCwzzsdVI9PpHI9/dwC1rUr81g3WzSPc7dKQOlXD7tfTmFume+cQ93kUFCc0vHr6JjseHmCkXMB6NoKtOU5RlGOSR2nRiJgUDeSqInW1Gt2AiVsn07h0egz1Og1Zhaq+gatVgcHUytgFJZcnFLitHuw+Kb5ekOcmMbqNpPQFUuUM9qYpTt6SIMmsslBUY2qyIOmzYHWpiV2LYtRA1KRjo1mCxuvm9kSNdDnKrfgo6i/8IWdv6NmlTROMm7BLBYrVLJIyiAY1lWqeWFHCwFAFz8MdZCpptGmR+Ssp1AYlrV1qRJkd570h5pVyfn2uhV6Hk8V3lvDYHIQFBXMjZR7YaKE9UsSlbmDapCMjlMmWyjhbfEjMJjKJCtJIDqsGUqKUcCGKthZmYJMGddHAjgOf4nzv9Z+/ctTbraLgEanq7ahkBdTyGpaiFgMZlsUM1W4JrqZOggEVmpSI1VjD2yynokxQrTdIy+W47TasEiVGg5VefxskLBzuTpA5P05WBT3tK7x6dobxGBidbtq+3EVNIiOSMLPFZGH1nRiOzXdRWp3Boa3j3bcDXUDOpe+fYZMuzJ4huBH1cNk+yMaNGSben0Y0GXANuVlOJsEtsjYdxmy2olKITIyJVEUfa+s5Sl1NVNNFDm8yse1+O9noPK+Pr7CsSiJ3w9CGGreuhnG1+ClaFRAosf3JKt4HTaQLSoS1dqqeKiuZAOfmrvO5b26m9PYMlvA0FZWEiVCRaqmIJJzizPEA2bMLVGyr/ONX1xkt9PDyxEYc3Xb6RTVvqyXkcnHGEgs4VCoa/Sr6hSlEsURpXU67UUHdJDIf9GLMq4j/9AYjoxkK4SyxLU5eyLT8v5y9Z5+kB3lnfe7KOefq6px7Ok2WJinHQRmBwIgkMMFevOCwP9vY4117eYwfY9ZgY4PJiCABkpiRNCONpNEETZ7pMJ1TdXflnKvuivtiPwH6EOfN9bv+53DwOR+an5wjuGXhret6vvk/z3L25ixjdz3Fnr+5hz33fRrXcBjHzApDtt3sdJpQBwUWbuWozSdozK1jjemIJCX07lDisFoJrZWY+dkNolozxUPDZEtp1lNJnqxBQqKgYrOiKOeIbkmxudqoFuJU5Wo01RjS381QzxUQ+l3UNE1i63603gRB+SbJqgr0ZaTxFpE1Pw6rhpQgwezQUaouIPGZ0e+wIFQszOecyI0ugtEUuvt7COSayDR6lF1ORJ2NSKhKXGFF3H8AZc7DPbY0j37lY/zXt6/Rb2hh0lbQaPPUWmW2sxZEQUJJWqVWK2A0CRTieQbH3LSpNBh0enbt8pJMlDFqRQqjc7S3FWjqXOycy5M+XWB2q4L3nnasyToHyzEib21T7HNBuxJLmwaTR0fAL1KvlakWkpRS21TrOrbzKnZoYuxwV1BZ5ZSuxNj/1Ed+fzifT509ZuptUssGoVilJc3jUqtpxLSkBRGnx8SdR51k3limnKtRRk74Vhy1EGC72aCllJFfgw6rGrleSTIQoX3Ii3RpCW1kiehSiatZPW2HjSz419i6lSZ2UcrtR47Qv6mkXt6NRMwSjMxgObSDyEqYxx7rJnN1gZn/cw5T7CJVjYEnJ/VMTYPSoEZYuMpiwcFjXzrMlStbLAxpafbmcHaqyWVb1AxmHB0m/FNRegfrqLvbkJREMmevo+w10HekE41WypBPTkRto92Z5XFDkDfnIzjuGqW+EWcrEkMvU7K8WOfgHjd9I0oKDjdXTh0n9cr3ubllo+lux2UsEcg3KQoFms0Ka6sqjhyUUCjcYp9B5NuGZ1hd3UHh3BofbW3x49+dR1rfQDPhIlv1cSuhxr5RQfbmIrLrSrJr1/nG70JkmgKPWbept/dz36NdfPn0ILs+cJT/2PskutkrfHCmzJVAOy9diiE3BvmDk1/h0496yds2+I/ZDYRXLuJUC2xnFJx9cYY97WbiYpl9t4+zlY1gNRkwaVV4B1vElos0YhJqvZ3IknmcvzpPNqnE9ZERBksNVnIVmtoGDqokQlEw1KlbqyhKDdrVQVyVAj0HfKRcnajSQbqEORS2LQo7C8Q2YWjXMOtTahoaPSavgZk1Ne/9eBZLpkJD7SWXLnE9oMG9x4vbIiF4eR25VCAxGyWbaKFEikFpoLZSoLmQRQzKEdcl/NmHlWg2LtCTbxAz1SjGkmjt/y8JIlBCu5KhLijo6DKRLBZROdVslJQUm0W00hxNfRWVWotBX6aqm8Kcy6BTqPHmO0n4FZwNJLnroAJlU4NOrJNFoHqwHa2rRiowy2q6xfJKGbVbQKsq88EvjZKMFEiX6tglVbz1EusBBRdrbXz48fdhQvivpdeOmXQ1hLIaaURFuaGnp0+O604jUUmaKz+8iFWjYTlpR+7yIlabxENZXC4dhZiRAbMRT8ONJiuyGKggL0qwuM3s7RlE/+4cwUyTtWEzOx42Uk2WMdv7sVntbBrqbC4mqLhLZC8t8ZGhEvlr6xiA6lqQyoUoilaM4d4kvx4cYw0vLpOXzXiTqrmFc4+ZrgkLK8kqxUNyNqcvMDYmQ9CbyItNwmkJNVWNjgmRK7ItJIY4UquJjbyBSEuGySRDpmgxXbGy0JzjE1+s8Kt3DSg1LoyFGnWpBXM4zrurUl44K/KTH18jGayz75NyDuxvYemT4TGrySlNVDr6GLhtD7ZcmIFH9hEavYfJRT8TsgI/vNFOullHmF2lzZtn6Fgbn/urIWbjOZQ6Fx5niXFJB7usamJKCdcjCTq++gyf/s+72euWc/jhQUZG5Uir97L/eIC1N+J8pHGOndI6V0xyep+Z5Cu/u5uNuU2uTcU5tVrhYLuRnh1KtlMxxm0KEpkWGYmGNluDQKSMsSUhnQ9QNlrJbATJZ2rYGkmKxTgaQ4s7+sqMteuoZVs0klVKNwqYlVLCJS1NmwqlRU6FOrGMjbRlAHGwi7LNxWrQyXh6kyOVGqFajaKqjpIWxVYvoQ0t0UwOj0uDzepjz84ODMUKeVGByyOnT1PBYUyRD4i0im7MXi0Sq5Wufi2qSpZ+u51GrkqXUMPaqBO6lEawODl/ZZ3lVBTzqB0ECYJcTmADtMYKaruBpN6HvqVlYS5Oy6BBJcqgmUalqCBtk5KbD7KwWmBh0YEkMYx7WaTQkCI55KEV3cIzaiZmc1OL+1G2AizoPKRECdFkFanJzNCeNhoNCes3U7TSWVqFCg6jHWNKilTt42JUYMni4vMPHP794Yykpo9trkoRpA5k8jwzcdicDWPSy1CYrDRTSsR6g0RBi6HdRi0TRtqoYGvTkNN0YO8xULi5gtYhpaFTYDncjbR/kO21BWbmVsn36Gk3G+g259FbFXSrKxQ6vFCT4KoqcRZEpJUGuWKE8xED93/+sxTfPM2WsMracIaYrQ2VVIXT1YBoGlGtYt/OOuXGIgsrNVJ1E+37uzBKZSzMS2mtadnRa6KaCOCw6Ck2ZKiFGrmkAkPdjlAoYhZ06FQKUlERtd2OvdfFD38wTXqgjaEjnWwspEhpdbT7csiG3WgdTnbe62F8MovuYB7BpyC8okCxVGbnpzso1UIUN+JkmnJaPidb6Sy1hQ30SgMnxX5i5knGiuvc89lRhLFhVk6mkNzspE8qRVlMYataWA3pkO8a5vY/HoAPfpDUrdPEz9zk0sooxy+28cATr1O4uoE1PoWqVeQ9dxsbKi2YS0SWgmy+cxPHE5M0Q02uviZFDKnZ86iXZGgL16iCTFSBqVRGpotToszRoRJXTmZxuRoYE2WkWimpjByt0ceeu5QEl6MsbpWI+ZM09E18oxqcKpGzqwmU7QbGvCvgN5BQ9KPf4eH6T7bpmSkxbogyF5cRbLfgzZjQC3oCp3Tc+0gn7TvdXJ7Kk319Ex1qmu0DCP11unxrGNUCmHrZXFOiTZtQ+f2IeT15VZVwSUuvy8zFk0uMWId4dqXOQmCee/700wx8vB98bs5fTyJRysnUmlQNVqJaJYqai26djD2jDYRuDWtmJdlKHLGVZdJeIK0wklC30WYCta2PgZ230ZpdpyE0mVltMNFeQDS3sxQp4pRnUGml+NNSshUVCr2JgrxKkHXyShXunj5ycQmbGyV2qutYMxU2rlUptars25Phjn2P/v5wnn/h0rGl76zgKuXpbi8yur+fmUshZChx7qxgyi3Q2tpCOTjKdFzFU49bCEzNUBDlNF1GGhspyst+alkNJrOFpHeE08eDSJQiNYXIvx3PcOlMmfKtALWwAqV7J5QLSCbaaLQ0FLe2UahlyDuP4OrsZOWFy8TyC+zcZ6AwupdUuAdyDWzDbs5MtTAc7EXrDFI71Iu7Z5DYqW0Sz/uZqHdjO/LHfPzhuyi/fpI5fZPuMQdVf5NkcJkdPTYUKh2CVEM9n6Cu19JASbcqR1ZsMDI8So/XTcFfxdbrxG5sUA5voNHIMIQzSDNJ7HIpuaaPdKQLY0TGtVmRjv1aVE0RhUQP7TKquQ0s9SJbU2qqvbvZaJnQXr7Koa6LrBR3YNosIigkNLRSSoktXFo5DU2ektKCxVlg7uY222ciNM6kKebUZP1yCAY56I7xlb/TM2JuojfaUFgMUIni7koyf/4C997XRnzKT6ZS50t/3cn68ZvEg26kEhXlchWJkEAsSnBPVqmpNZSyWTpdHq6czZAJ5XjoA0NUMGL16nh5zs9MKIdWJqOcFuh/oo+V5RzFQgJFr4GPPNuLvc3EuRdTvPvbRXokIo2lOeSXl1EtzPBqpp+rMjc9dheHDrUjuRGlS6JDPLHJ1DsBDu6dYHlzlu1QgL4+P5npc5yeb0e2WqNcM9LVbkKdqxGbDqLXSAiHoCI1YzswiuqUF83ci7hxYfrYJL/4u9fYDOYxeUrkk2lyeYF6cB2nQ0E1I2dufh1zv4btWotht4UOuUimZ4Kxvi42FkVyEhPFaJqpc5uk/QXqqTxyu5lSRY65KtJmUGKrl1m6lGH8/kkSGRGTWoZKBLW6Ac4ylUqT/Hqe7l4vQVkPoW05PXWRrbyKYoeJyUN9jPfu//3h/MZfvnRs2FDA1dUgEF9lcMRBKyswv6rAO6lholeJfXYVVdHEUkjLPfe2MXc2jctmpb1NSSIpJydtotTZGJ80UFM7uBmTMHCohFoWo9DdyzNfeZL+kRCn5xJslx2Yt8ssnRJZ/OUlPOYCnh1Gjo4r2JW8Qnfaz8/SOeoXlrjnM928FVLSkmY53CllflFFtstE+nc/oipWyV7X0zmd4ug+K0trWo5fTPP4ZCfBl98lsrcdb+8hijMV3rkc556PP8zp+SaNopSmVoWkUiETKVJX60hlKqilKpZDVbwmyK6FsPuURBJKWrVOWiYZm3Unq6pe/JgxOWzU0k0SWSl2kxS9Qkl0QULviJl8skBUNGKUWNA21ugabEElx54v3IXfFKdkWGYtW0Rj92ExGJC16qzNFTDtszOVSWN8Yg9nN9tQpCpYHEZ0JhMr81F8d/ZxYSaISqclWCohMaiZenObXU90kUglqOYLqF12Lp6sUY8F+fTnhqgmtlENOlhqKMiX1PRkdJy5WiRcmmDvfXKKEjVZqY2GOoNEpiD4zhzDigb77uqiz6BAf7sFVTWHvbuBpr2NjKbGjaCUf/mzX/PDb15mdOIQR//1Xh69S8JgW5nbRroxDdZp/+RB1nw+3vxmmR/+23eQLCgwZcp06HI89YUDDN9tpeugEvsjE1xbmsLXacTc1oNSXibdAkHfoE2rQ9DmCUhiCMoGP3h+ibvVbXS+nWUAFex9lB/cWkC7tMWAq0W2GiYSLDJ6Vxe5YoZSrInCYCccimJoFtC49NhiCYYmfWS6upn7xTsoayLdHj0Or5rd+710j3qx9RhRItKoNogWaqQFORMjeoKnNvD127BNeojWjNyKVjA4CyT0UA+10JeLaJVNYvkGdbmBkCilLqvy2JM2yoKD8f7x92FC+I93jo31t8i3WhQbTap6AxllL7kQlLcFPD178Nk9BDZzxPItLKo4wa06okKPUp/n1rU4/V0isVstnDo9YmiVWLGGVoihkEvxitu0Vpa4yzJHMS7B2W1ErGhx2ZsceNRD112d3Iw1KV0IcvGvLvObyxssO7rIXJbhc3QQb/Ni6JRiM7XwL1RJWHLslM+ye28H1eQYB/MJVmMicckE7WM2bjz/LouqGkV1hf5SO46hOJclBTT9o8jLoFjfpi6UkRssOKwt1EjRJOJcec9P13gbPm2W+VqWsNpE/FYWt3eUS8tSKk0tppKWoWqQLruIGNimf1KORq4kVFbSZv9/sdulc9ukE3Xaewtc265j0TcwV6Lk11Msjy8QHAvSNe7FaLKizENDLdKs1UjvVxHUZTgbmUd/+hZfur/F5ttBam6BzWgSlzbD6rICbSyJqbtCtVtNeK6MWScgV5nJ1iuo1TJG7tvL1lqRtUCKU9+dISnLgtLK8P1FzNhZlea5dUlC+PJLkFAzfocU01iZilaDtGAiEjeSLbXjzqrJS+w0i1Iy/jwLqyUyxhoeT4yP//d+vvTlRxhQFll7cYvzr4lkClVq7g78BhurSZA5aoxMVDDaJez96hEyCgGVoCQY1fO9X+W4MJViaUHEaDGQ3/ThdJiw71QSD4XAJmd7K0PXRAvT7iTqR3uZS7uxnl/myeo22geMXDdE2HStoelvEjHkKakE6mWRyd0urHt7qQQTyKwSfEc7aaai2HUt5HoHFZuDzbPTmDaU9FlhwCEjuNJEiENhI0MplaeVaSHUBeqKFvZWFanVhkomJ75RwK1qUmxIiUhLmEtZvA4XYthGvSJl1CXQqSqjKWTYqkgwOgv45HHO/SbNwx964PeH89y1C8dk5jJJsYJnUKTSsLI6J2XAqSfxZpjgtRRrTTfpapXbd9kphrKYrFqUhjADIzX0qSLyHpHLKzmUcjMSdRydR4sxWSR2cZ252RSCSk5FWac4NASqJuZyE7mqxOJCk9jb1/jWF+389tQshdsnuemqYH/iAdyjHqYvhciVpfhSSTIyCS2Xhx0fPcLP7FvTkuYAACAASURBVM9yLns3t1b1HKr7uezrJz00hHnYxsqFOZaaDbqUMcr1ORo3/ThGPbz99Rk+89FObG1mmqkUsWoKWStAplXj0hsRDhy2cujJbs7PBgjpFYQLMhpCnAc/PsbFczn2Oky0LZRIXt7gkeeeIrXm54WbmzRGStgeEbnyz5eJyNTs/MghCo0GhLfR+rTcWswxnzIw1CMncm+AfLeD0rkt2hVu/Be0JIUmzkKJ8cfsnLlVovJalq8dFVH610i12pAFGnTazHTWW/Sn/PjXZjj4Z4+yJfpZf20b27ocjUaCULOTmpPRnAvhkCipWc18eKyJ7cEO5l/cYKW6TW9B4M13F7jny3+KKzZNc11DJBxiz0SN2FuzKHINVhIjzBcyHPlQjZeuXMJBPw2HB32XBI+9hkVVInejSPPdDIYlEXm8hMkdwlGVMp3ZIiCXk6GG9mwde2Cdw/0LrK6tcOmtBdjKMr99CaHWYM+kgt72IK/f2kKSFCgX40yHouRTEqyDTpp6NZupGMuyGllPhu4nx1C+tcHt0iXKeiURrZThg118/b9aDD7STjEfoV6s8vJ3ZqhXRHINP4Walwm5A3N4m3AKogo9W1Up4awafUzElQ1iVMS4Fq8x2KFA0gyzWqwwl1NibiWQ7tZQ+cnb7BrzInW5acym6EiUKDf7uFXU45Kvox1SIilrKEezlGM5ZGYrWprcvJRk/CEvSnmD6XfXePrTH30fj+/XTh/T6vNkthL0t2mIxSxYGkkMbqjEYvSZK2CFTDHJ7r1yfnRBSuLAHYTXgswslwhux3E93Y2suEkpLiWwpuHR27wEl/M4JtUofBJsaj1Xv11j7CNPcGKhibUCHm2MtmKGXcEA/T0SPvM3t1AP9ND9mIkRa4Hp44t0tJnIliQctoPbtEm8XsB0m5w7Ou4l8s3TaCMncd/ZIFBu0lXUYj8zTXH6Bnc8Y+PaO0n27fQweyZD/2OPklhosrxQQayVuHZhHbFvm+3bK+zv66C7U8m+sQN8/6+vkDcYaarbcI3tYI/HysrCFB07/5JDEQ0PRY2cPh3nzf9a4s4va3nmNhVZNtjRjPP8vAvH/fdgSaRZfPEmmrY2xgcVlIN1BK8X752juOdK6PKdRL8ToN2+H4OjF40ijz5eZcKh4O2XJCzc1PFPX+3m57+SkYnKIFXhUGcWpymIb7zGO69WeOGHt9hzSMR+pI9cuYi6HsDZoUcoy1GPqKg2ZFxMlpg9FWbOKKdTrsFxYAXjqI1ifx51ax2/Ajp3mJELGi5dEtDKuumc7MVaytGjepWx+wycWbnE7kGRSqeW5kaOQjaJ2FBj6+3Amq6zKjWxdWiSwT/oQ5oXkTn12AwOlA4B2YaORquKVVanYWhy5Au3oewfoDlkY67VzsJWgH/9mh79kJ1qos5WrkWb14rLbkeWFFEr5SBK2by8hc0n4N7hZP6VBg3SLPu1rPlcHPlMJyd/NoXS10ArQPf9Q5RqApViEYNTzejwILpkCblZSVSlRzDpEKsqrCo11q491JdTlB1e3pF7yJUrHHlSJOWtcjGQYm+PgCweobptxjQyTCSpIOEPcmePkVy0ylZKoKaVUpXUkFVL2JV11GWBXEGKXi+nUigzdauFz2whFKjxwY+9jw+hszfeOVZrlpDn6yj3H+aNV3I46hu01E262iTIzE0aGoFiQ4G8FeK9KyrE7gM0IyUSb/npH3EgNetx6S3oNhWEXp3nIckWTauMRUFAZzIwPN7J+s9vsusDQ/h2DzCizKKo5JlZKrFvrAdb2yf4/olJFssNuhURVE0Jap8Hi8tF2D1Ms5YlUmzRrZIT+NEi/+voYY7eU6GanmM7m4dkkttTDTZfeAPvfh/h3DbK3jEUVjfbhTTL57I01go083J6jljIWEPcnDnOVp+Wzw2P83BWz5eevIVfIuO5Z6wMmzTUfN1EC4vk0msMnBHp/s2PmLx+lsf+25dI+XT849d/wM//fZ19z93LdvIvOPvKh1H9+X00vvsKR6w5LLt7ef3UPFmZBLulit7uoJAuYbJ006bpQlhZR1LMsJWoYu61M9lu4qf/sMDgoA1PM8nWWo2HHRCV93Oq2kHJtMK9zjPElRZ+fW2Rp3oz7PvSCG8PPsfrFwIIYT+5tRKeLjmJuSJ7n91NRNVFUZvH+EaUkZoPY2Ocg916zBvrDN85SHVlimcfu8pVZQrtoAW30oT7BSlDN2Zpf2gXf/C5Q1B8i3B4Ha/SgbSsQCXtIzUvJe4XUA7vwK9S8KvfXiS/GqFPSOLqsmLQWtjbsxupx8pyrIhcoSC4GKRu6SYlNvAMj4DMwMrZi1y9uEhqW2D34f1oNDUqW3mEqohMqkDZCf6GjnAuzMRtbs5c8KG33Uf7/RMcHjNh7Yix161na3kRTccYI/cqGB1XsXGzhF0pp2PPB0hFmqTiWZYqqxz9i07Chizzb61ysMtIJBIgXy7hHGvDPuzh6uyLbEWWsOmz3NsFsliJULKLVpuLfF5ByOJkn6ZAo1DB0OekKClQVMvQN3PEwyJSjQWxnEOvyLBv0MHGlSous5qKtMrR96PGXJk/c0y+VaaRl5BTD3DlvVX2TRaR9NRBIVBpOkmvFBg83MNDD8nw6KEUztHrhkwpgsxgQJWz4BjuITS9jjZQQqqQ0PJoSTYlbK2mSLeUSHb0U2q0EMMJKovzSFNhrE0FO26f4E//h0jaLGNidxlFcJ3J/T5WS2rqzQrBjTJdHSXqabB5vehdA+TMen78vctcOV5g0DVKLV9gvWDGOjmEoFBgnPSi7pUysxFEZkmynRum1jNAp7NKNh1GOqhHmnBQiE7y7MVNjn3se7Rs9/DThc/gn1tmPh7n5q+vkvzPUxz7xKMIJ+CgP4M6sc0r7wVR32FA+3gv//SpgzhCJn72USf57DRz3+zm6McDkFkmFqoi2F0oTVIG2mzEZ1LYjBXiaxE6vBYKpQBGi5xCuYK5y8TGpo8rr99ih0FJFCW6uh5CEgpOJwGXgKt9li4hjOrAEdRzk9yWWOTW67eYzYxj6uwnoZGQiufYdbiT9GoArbCJXqyQTpa4e0cbsneneefNJt7uOEIiyNZckvVWD8JojWRRjVtsYZnRY5uC+x5/lE98Jcdf/YuJiMxBu1HGVs5AQYB0Lk9N30TZryawvIBPK+DQWOg76sGidWD0arl2LclqbJaWLorYbKGUqslnTCgbUlprTZZeukAgF+N8TMpBl5FOpYb3zsVoacrIBQOJlpqSUkCm1VHLbdIpXYTYFpGYnbrcimzqp9w6eZW3N+yEywpK4SCvvCFl/eRZfNIgm00Fg2o9TnOErfQigXSJQ1+sojaf4NTCa3jrHuRXRQSDlnixTnZuFa9Bzr6P7kcRzeFxTuKfs5PI6KgkWnT02kktLyGqJQSFKttWDQEEmvkEQhVsFglavRqhWcDiVKFUKehRKdEUS7SMWjaTcp586n2MrSMnXj22NZVC71Og0cvpbFMgDxVpmOw09FLi4TI+g5qZs37+/U0tAWM7kbk8bmedXYcNNLMidrFIq1xHkZShH5ag22VkajmCWBPxeuREwnmqZgWZzQgmQYJ3dCeLKTly/zoP/7OFEz9U8lpJg1MVQjqkZD2YQ5nMY5fa0G5f4Y7nHPzya/P079zLlN7Bi//2cz75QSt7R+8kfO4Vci4lZ/VdqMeGyG9EyWQSGOwaonUJCkkRlbNB2+Nu8q+fQDbYzYWlDu5NTfF312dQTIVoBBV8efGbvPjODOmb04gX5vlAr45HTFnq01n+KX8XV2/vZao6xeS/HqTjThfXzmhp/vYmY9d+wW3R3/K5P7+dQ5EfoLRJyUmXaXkgGi+DQwUR0LrVpG0lbl5fRwgY8I66qSoVzNwqcs/9Ts6+LaPUqLA7XWIhsMzY53xcTDrx1dbIIdBJDflCA+PEw1Smr/ApTYLufRXOvLzOcL3FXU+3Ie1wMHulzIGRXuJZUDZknD/r59CBYay376CdFtu3tklpdqPq9OK7517efjWG/41tCIRxtTysBjwM7RI58pVP8j3FB7k876R25Xe0D5jRFHKYdCrq8QJCrYLVbqdSVVArZpCVIxims8RvbdAzaSaga5FZq+KWy6kXqlQURkqZEmptE+dRCZ/51j60zXWMFQPbihY2Rxyzw4LeVCdXzNBeDTE7vYH/jp384ZMttMlZxG0b9q0s4yvvEM9KWdl/L3pfLx2VEN4DKgrr03R/YAdGq5PiYgaJpI5f7qCpc5JUXOB3uiVkQ0qybygwCR1YdhlxSARqTQcbiQqv/G6D6JU6t6YtxDZkdA+o0Vkhr5ChEjP06BpEk3IKjgGubRTQqZq0DGqSwTwaiYZYLEGkUeXmQoOulAZFs8xqWY1crPDQ0w/9/nDOvPbasWilTtEhpZjKomnVaOYLbIs56tUkOokcq9nLWrRIsCFF5xZ55lEN/QMtJLUUsUCEZLVMtVRF76gjMxRZiTToMFo4+riXQwfqXDiVY2TAh6bVBJ0Bc1VkLtVA3NuBdO4E//tEkUe+NoDa/zadwz4K+TodOzWUO7rZkhXoHLKRWUuQzehI/dko1/dcpNOZovhvUvrXL+J0pBE0VqKbAfZao/TsU7N0NU1CMFNLSAhsNDliyuCRxwhcHWThxud5+zd/w/eqyxhu38u1js+ybNjPd7/1DR7+w91E3fuYLzpobQt079vBiat6buuO8dWP6Xjz1df57v+3jmVgF8ntMSa1fqIHm0TDTVamS5yYy/L0yY/BUIjlhRcwW7uQ1YzU1WYMQ0M8dedz1Cs5ttc2UTot1INmAicLXHsrxYeHgkirOTYvX+JjnRnmmhqM+SJ2bY3xHhvxbSe38j7U6gTxa9Ps3jHGynoflzQmfn1ikWcfOsSN0BIy2zIJXQZjwY5ufJC71HPIG36uLpSp1+QkFT4kbWakyQxf7pvkQwMDbBTH2AwLzBgkHF+KcuIbxxn7zjP80efqjPZuowinsbTqzN8oYRJ0SFx2mqU6Yj5DU2igk0lJz0B3PIJ9NUAy2qBLqkMr0yDRGzGY5YiGJhZLifX8Eiv5FiQEqkoL2TYNvV4V/lsaJAYBSUlHe7mE1acn0Mpz8qdvkb4lweEZgYqV8XssPPJkO/uO+ijd3OL5V5Z48PN7UcZLJBe8yLZFii4ZgsNMOFGiEgsjHbJxY8NOOTWJLjhC9RfzOEotNCU1NxfT3P7fH2Dz2ixH9+/GINFgMuiQNitUc0ZixSbqukClIkFaazLgjCPmc2xu5bGZFFjNcsqlCkW5FGeHDm3CTGs+Rdujw8xsJelxGzlw//soW588fuLYSqmBrVPJxlyORKSJTFJD2ytDppET8eepZer0TCr46FdGuK2vjjyb4fyVOEVlJ7JUhY2giKwg0OdyMzdXoSZrEppf4dpIk4RNwdWoFJdRhd4moVpuoNvIck5c54i2zg5DgTOv6hgZFXEYRFL5BoJDhzoXJuuPUjdqWDu/yJ98+585dqzA7Ceep9N6gqwugV7+R+w4oEc5nONsMIPVaKZ8LYQyVcE23EdCtOBxVfF0+Ygm6iwpx7j4/b2klh/jU8zz6HEvL/v+ipeiGmo3Z7n/oUGmrlxGpdYzFXdRyA0itFJIqy6WvvtdRvLwYiHM4S8epXlulaRhH1c1/SQ7RomYwnzw64Nc2i7ym5++yn2flBHrNDN9AQYPy3ErK5S166xevYy5WARLB4I+yMTeXhzdMPXGHIsbW3zy+zYO6jfZeK+IYfcQG5spXP12lGP9VNIiUqsFv0xF/o118gsZCoxgf3qUiQkjL/7jcSw7DAwNXCFtULPyywDb/jqXrmUR5HIcHjtd7b20tdUY3L+H33zlPSprJ6ltvojl/jZs/T5Mh9xYR4wc6axjyr9O5D//F1upKWSedtC24/WNsHNPHwpVkaKYxyAvUZdLqYgCzeGD6O/yYRipkYyF2c52I9OVYHMJpzJLRW8msh5GrtazuK1n86ofo6UN3ZgXpx80ej32zhqXZzNcq1lYDsJz+XX+8WiUA5/4AOdeSpA+06Cx7mX46iaZCszWY7T6nag0Rd48uYRZYccqpDHvsOKrL1G8vIVK2aAiqjClDShiSno8MuwNBVTB0ixS3izSe4cPZzpMI9WgKBdwuyw0G0tspmUkQ2WO9oRY9mfRCBrGd6mwT5iw9KrRVfI0ZA0ylSKNUoFMpk6tZqAQrLCVbZEK5fB2GThw9/uA8/ULvz0m11TRtEoM9sqwmyXorToKGTVqjYWRfgdiskC9qCOxsER1O8yluRKrFR/pXBGzQcbGchqTz4HHpkbMNEiE6oyozRR39rK1Ksfq0qIJ5lBK1cSjUK2bGZ4o05t8i63NDFOX7GT1ZSTdPWT8NVLxPBa5lr49KYqJFs21DG99I8Env3GY7q5jNKgzT4k/6X+Grx7+Fbr1fgKpfvwJCS6ViLvDy9mNEoZqnPX1MNWMivdOprj5Iz8Nxd/yR+I632kB0jwPfKmbJ544Qi0ZoGePhkA2TWe6yf7KBgfV27y2kKQ5dAey1RjWjl0Ew7tQ1p2snlugpolgvlfN0moKY03klzcD6J7+NFtXluhdnEM2uJPfftuFfNTN+vQ06soGcmkHsoyHejyBPxzg7BvrVOpVZEkXz/3rGKf++Uc8NuIjPtdBvaIl5vOwc0LOxnKSmTmRgV4V0mwRtd/N/Q/3c+6GhhfPTfPc1+5kdSZBXuHG3KtDrKsY1RoZfOABzBM96PIJVGYzL/+yjLNWZeYnryOt7sC3X8+BB8d4byPOzSk5EiGGbiOG3qsgvXoeR3+aVqOC1akmVOtgYzbKjTevkAyEcfgsFPN1BJMWoa4kXRCYXSpTbdaxeQxUnRrSTeh8cA+/+/F1tsIRdC0D0nAV/XYTj9tOf38bXmWLpbNhdB1qCgthwgt+nv7ep0jnqljTBULrnXzh+2ZMGjcf+pwbk15FMl/k326V2JTKUCfiGAoCri4TRoeOqkPNVLxGIFRgY6qAxmKgoXWgmM2imq0hy1dpSOs41AK15RW6en0EkynqkRwVtYyixYSsECOcrWJ0mXFoK+yd1PO98y0K5mFsbTpefT1CKpBDHq9j6TTQs8uOwa3HpHXQ0yUnrtBQrNbZvVOGolPL/p13vY9r7asnjg30u8g35NSrsJ4sk86pMaiaJONNGpkiDnOTpqGCvVVFovOy3XIhlYJU2qKah7EOA+6hHhppkZLFy6tvB7n/D81ct1UoRur0G2SYcxDNVZAYtKzKOhC2NnnaWsFf7yFh30O3vIhTWkPWqlJslJi7kmFkwohMrOLa60W6tYSiQ0ps5BRn6jAhAcX/FrlzzwfofOc8Sm8bcUMN26SHzbMrqLumub22RKHYZF0zgrpW5GFlkqiQ41Q2DYDnCbhzaJDMyV+wZ2SDbnWMhd4jTMVUdDuKlD1OrPkyl3/2df7kb2WoxRm0r5ygfWORpz77YS5UajiDq1SvXmbytr1Y3Sb+8f/E2WHV0f+L63xBeT8LbU9xYcZLwyiSToUxyvLUUjkMFgl+tYTd+/O0qUK8/hJ89tEAzbk5qloXmrCDmbCcjVKesZ0WzJffYHkOGjUBT1uGLWORwS/UWRuvs37qJp+oVmi7Eke8ped0rB2lp4eWP4tlNUQt0UL/5gb99QKZZJlkvIimv5emM8CCx8S/fHuaJUkSTWWDkj5ITW3HURdYVxuZbRgZn9SR3cwTl1YYu09JutdMf+8+RjwFFmayqK0Wsv4SPa0Sxr4hvIY0ayc3mZ/KcuhOGzz2ab7l9zBuatDWEkkX6kh2daDy1jn923k2Ti+TTxQYHt/D1ZeXcLV34O6V8eMvvkHtRgX/e0pOB2zYLR6Wrywxf17Jxq04D35mHGGXhe10gZZWRl2uQRMvY97RR2NpGvm5d+nub0eiyhBbibD69k2210E34KawkaQ7K6drUMGMYYK6p4zUlCAhanB41Wxs1sChp6oRKafBZzLx5moZyXYvtYKIvacD3249vboS15e0NIJZkqEqOpOVuqBGYzBz+712isur1CoNDtzxPry1J068fuxXJ9Rcv55nw5/B6FPR7lMhGOv4Q7C6mKMot2KSCQzbXdx8K0f/5AAPHzQh7pBzI5onmCqjDCsJxDcZ9anQX1riblMZIVPDYzJgKxQJNNVsKQQkhTgKi4XxQRd9HhnvrlRYLyiwmuS0unqoODvQhrawD6toleU4qmria0msu/tRy1MsdFzjaQ08iptTP9RTDXViU5goun2YTFUUV5Z44/QKf/zZp5j/H2c4ecuIPywiufFD3o4v8Eyph4c+soOvPyPj/qMfw5SKgHOCCX0d4/Gf8s6VG3zmQIjV0Cy/+qtXeO4zXhodLj75eDumV9/CstHFoZ1yTq9luMjrfOoZDYeP7eTmr8r87l/+jr/8+4P8yUPP4vrJWapzccY+9EG+/bc/p8eVoj9jwRFSkQ7FsNbU6I29ZEQtP/j7FdTtn6WQXOBDHUG243bm7R04DzUo3naA+wceJxJ8nokPPY6oULFjQOC9v/415bWdPGBUYz+9ifr02zxoMjM2pOP5E2Hct9+BObNIhy1HMyXiQyAdbJHp8qHpqqKyNEEhQRvNYFJK+NuffBW1PUchmKcu2hAiCdC3Uyu5WL8uJSvpI+2r0eUs0/3gn/O3n79E6D9/w8Q9/ZiMGrIbBbSJDLft6WD/XQNsxWSsxWPslq2QvJRivFfHHaNm9u9y4b7NQCw+T7slh3tEhbHXg1QnY+psinLRRO/OMXZ/1MqdnzmMZbANcXmKvXe1mLhTSzUXZeCQj83pTYbMSdJaI2WZlL5DKjp6rciUOp7/1hp6Y4x9ezwsWjTo7t9H313jqBo5VLYWWleDRiCLRd5GwedlOR6kFJmhd7JGqiShAoTzGVrZDLuHvYSvBoiplHR3uHh2v4OP325h8+I6M0t5pEIZvUaCzqCjjgJSGeYWwmynGwRiIlKhRb4k4b7738fY+satnx/zHnDT5Wxx+4QJyU4vUnWStWtztPfVGN/vIDUTQ9sSyIplVGkzLiFF9PIGWfkU9XQOj0aL5NQsepOd1alZ+h93U+gYZTFiJR7SY5Ik8Sn8aDs7yVzNcOoHL1NvybjtL3xMnTmPtSJlyK0mM7uKTKNm6LFJmqklmvEMr+UNFLt7uG+izo8+/x8cuuefeOu4A+Qm1D3DjB4YRO4xMRvJ4h/00e/e5tm7pcz//SyeHbfz11f/kgf+YpNRZYE9936M1uQBZq9usPMPnualqRaLEgO9XR2073+Qr/6ihPy+jzG8Yw+hMxmWdhzh6qaKU9IP8vpvc+z6m0/y5+Eq/7Og4MelZSRFDXvvljJzKs+BXh1byw38p2Z5oJ4iGSywpQ9y93eOszh7kpmQgoEJI5KRbgZMSpJxCQV5hbdvqNm8rGNwcIp/+gcXb/z9MvuHLWzLm/SMbXH/h9z8+/Ov4tzt4fl/uUh3cpTI9joP7Jxka9lM5gdSxn58lLeEP8CvK9Hje5kvnv1Dvv6VX7HUepCLDS9jkePs2FkipnJRaEYpNpXodS3c6gnmu3t5/Jku1n7+AtdW+yDZQhuM0/II5Ca9JDfD2BR1jGKI7WqEUijP7Le+z8NeEef+brSGbrTpKpJmnemWjYvLJV49H6SruMZE9CadXY+Sf3GdzYsRjl+q0eauMfVuifMhBRXVCIZ0hmoZ0joP7h0CCq+Klk6k+O5NNt/xc/ytbZwjQ9gqTj7ar+LmVQWXLsyhF6S4BycxjBQppdIIqga2LS0lqQyztMb4pI9Xz6spX8ijvB6jUVMxMtmHIlzHkVNRVrWBo0ZDJpKPZTl03zD5RTkFf4O0ug07ahxyDUF/FJlbT5/ZjCfd5N2vv8JGp5ag2sJkX4taywi5BGKigVnbRCOKdPeaMekEuk1aWukmrjbYe9v7KVs/f+aYXCYnV8wha5bRGEFMlGiIEA8XcB/yUm2TYHE4ia5XyQVqrKcbkKuSvbrCI5/6BOKGgvn1bcYebKNQLaBqN1ONVRHCKaTJMpYOFbVWAiGXJ7ue5skv389SDA5pXuCxByys5PqJLTdQtzuJ+aNkcgKppU0mB6V85B+OUiyusl3QIZW4uU+dYOPdVdSbKUZVCpLICYVWGB1YplU5zp8+WuT///P3eODJXbype4ip2dOUwwtYD2kZF7MIb8xx575+KrIqB/pNbK4lefNbP+fwLifp6C129ZvQ3syxUCjRmhbZqXZyt3WRdlOIn71wmdpSgCe1OZ796N38N0+dyi/SqANhVPEs7pyB2+4bJ9Q2SEoZZ1HsIBV8mf+xO8e3ZEZ2rq1gk6hZPJui01Vj5Re/QDmtwyAN0mEwc8ScJWPYgzyuxbrZxrWpKpGgikKgTiZtYm5mk52Du7m84mHLZiLRV+CBP7Yys7BOOrNMyCjwk/d0tN3n4E8eqvDSv0oo9HwEwarEYF8nWbMQSG0hmY3Q6jOjuPAm5gkzw/Io750L4DisYv+hMQ498Sytl1coXw1SrEPToYBqk2Jki8rbMQyaArainmA0T7qg5eqtEjW9GdnhNrweG33tZYYkcgorWXLSHdQkAjpTAr0rzHKHgfWFVYSFM1j2jZLXVJB3+FhNFcBiQcjkqLa5sYkKVte1WK0KfPIWmp+ewpfb4goKSqJIe2kJ/fhtLFYrGKolkgU3lQUlgrRKUGnBJMDYsAd5bZO2sTqzc1mUySaCQorWKmJs09FVByGdQ9JlpDnkYm6qSEYmIWH1Ima2Mfer6PAJKOJ1hqxu3jqdQeNR0feAh8s3oRKPIoQi1KVSchE79bQErc5IuCCikWjZuhRCLZMjl1u57a73ocac+dovj919p4PFcpxas4U8XSZfl2DqdLC+nUHaVUNizNLhUVNaLGAyJhA75TR7KsxNx9lYyrC86cc3oWdy3MXWOyE6entIbpdIRCqY25QoFCHcnRGaxkGuBN1odWZunKhy+id+tFivcwAAIABJREFUtsouAik5fW1FCh1qUoY6Ma2PqF6HJL9JdZ+XE79cY60R5Ut/eIji6gobugeZFr18+I468tY08VXx/3J2n1+WHdSd97/n3JxzrBy7Qld1dXXOQa0sIQmwENgYG2OMje3B9hg/tseP22GtcRj7YcAYJ8BGYCQESIDUrdRB3eqgzqG6crq37q2b8z03n3ueF/N2ZtaCP+Kz9tp77f3bXJuaIrl8gw6bhd/79jMEPzrAxUqbD2nCHO1dYi7r527KRH+gg1sv3qSWqLD2j2+QHnDxV//6WTL3rhJzG7hwrorX8QCLqOETz3YRO/U6X33jTRJ3ypiefY7Hdjf5+fQt0ht5vvTBMF8beJqRp4OI6gpSXKbucfFdRcXIU8M8CD7BaHQdo3OJkz8x0m8fxBisU+m2k7NEEPNxlI0k51tZ/scPt3Lnhz9kxNQke79BmhAdYz00UikMH9zhyJYa3qk27XAVu3GarRYDrC6j/psMt8+kMNUVjNNNtu+cxPft1xlzLvCl1/pZPDNCSycykrrF2o82WVuPM/DkVtRuE7q9E2gzdfpuvEPKPsjoMyLVQosL5zfY5duCJiVhbpaxVKK0A5PoOj189oUanU8MwdARbB4Zz5gBX78es7/NxfkoM+9E8LbKbNosxKxusmKUwjYFxyiMb3NxdymElTSPfnyCjz23kxs/XkPS2xBXlyibvEzXl9DqrCyca5JcTbB1vI/lTIoTthKK0UFIX2PE3cJXSdP1O0/xXl2Lp16lpuklshZDp9NiawgYDAqCPsdcM4E3oKJS1SGpLTiCDTRu6M4l0aTKGLr9eMe66A8GsMZaNOJVcuEyfUGBSqlFI6OjVm6TjCSpayFd9ZGeydNpa1ATZTpGnLiG/LgiBTz5GLIikotLjG/vpm1ugFFBmlVz7IX/fai0+v8oExh32XB2uFBWN9G4FIqpGmaLhl6XlqjDQjyUIJ8LM/BcD7bunRSvPqC3o4LYFeHQ329n+d+LhHN1etxbuJfsotKdx9hYJ26sUbTIOF0t8toKbpWfM+e1XHhPjVlKMtVbJDS1k41t23FevUdazrNWULPYqGOpzLPjmSNULrb4ybfXScl9eKxlMi9+D8WosHIvgnlggEvVDlb/YwWzXGe5LbPXPsWrl7Ygx13opU1+dSqP/66I6ZaAMRejp2kk0FzGduJ5Nu6dZcszI9zYYuWvf3CDwJ1Nqp94hkJLDfYaGx+0qQurHP9v2+nR/xZKKsvdXILK7YvM1cqs6qYpevbx2Of28r2jv8zDe06wa/oRlESY3VKZmy9HeTu6j9/2K3Q8+hT81utsmI+iXU9CpMC7UTOJxTYtskAAV1+K5K4GGy/dQY4+Ru8Tbvb/3WP84aspmtV+Wh+c4vDPVfif+ibzt8wYXp3jyHM7Sfllfv3YLgq9aVYaC6znLOSKQeL5BG/cmqQv+Fma53YRGY6RS0l0fbIXdz1Jq97BO54hbjbt/OpIGWvDxFffWcMWz9PZ6SO/6UJttqJKCfjHHKSidXJTI/zpHRtWKcGUoY3T1GJtI82UW49O3+TPP+Ph9T9fZLs/Ttw5Tl1Qs883yGJbYnkBGj4/ifV5vG4/p+YrXI48IBNaon/CQziloWerjtpyHXW7wGYhxWOfdBNVlYnXXJg/8Shf/qdVnLYkpusxhHiFPn0FvVnFRs6JwdSiv1dPq1Thypv36Az48O3SEmeQPl+J/WWJlspAXDLRWAyjuH1kp7YQ8Bm5/p13kOQeJrwm1Co/DVuNpqGA3ilSvZXF2OWnw9NmVGnQXIsTnPCQaehZW2kjym0K6yVcsozNbub9DSMlucV+W5nw7QjdHiu73bb/o7//a+X8+sl/P6kKuJifWUWvrdPQ6ylJbVpSk9mQSHe/kxGXh9qGiWzRTrqmQmnFEetlZkNtmo5B+v/gGBv/dploVKCrS0Nbk0bX46WQqqK1W8i1BUoNI/EVhS1ddQ6MRSleukpPB3QOeCCnQXa5MFlsTDxr4YuP7OOHpzYQF9pMqDcQ7AZuCyKbzTqeh7zU78r4cpv4TWY2fzhHz/AgwWEfXq2dIwNmOhthLMMh5heX+MfbQ9y4mmYh5uG33/hrHrx4keUPygSUENZhLw8/NIzuzl2ESJFEoomt187a6l2OP+Pi1Pevc+6lJYo5iUMTWtKrd+kbtPHiNQXTiWNUQjMY3voWn3hmENuJPSyUJM7cKnBjaY5th508GlzC9foraB75GPdbH+ZO+EXSRYXE+ylGhs0cPj7CQ3IHP/eInd5JkVZvN5Of/S8kl1u88Z+3mYvZ+NLcCq7PfoZQIkn+QRllej9j4zZ+8beDJHtNlPINbs4UOPv+PCODBdomB1lFw3Ihz/HnvXz7yxHUtQ0G99nof7YX314rmrhCoqKwGFlgz+AS3mYcX12Ds2uK5nKTiYNBXn1nA/NYHefmDI26jWTeQKfaxd2kQp9FBG2VakMhHm8zeyfO+pUobmcX2mKRLTvqpBQNs8tmKksZPPoSkaSJH+eteKeNTB+y0ye4SV66Qs+gDrXFysp8g0N+A6WWn7TsxhSos/sxHSW5jC9RIfzBHCHByGd+5zimTBSabhYyDapSHVHTYLRDi93hJp1L0btHQ8eUibRHR1zXidfrpfpBHV2rRkPUU882yGh8rG4UaG3G0eczuPQCJqVJXdSi6TXhcUo0G23MMmSqTdYrGiJzWTaSFW7cb7OyWUPTbjI7m2T1gcTsRoq2WY002EFT02RwUKbdqqM4nVw5nePpz/0M09rbm2dPllVVqlIFX1cTjc1MoNNFPFFHpSi0WzDe0eTspTwZjQ1XR5tWqUEh66TnvSXSZxNMP3+U819bocMZYH9/kyv5JgWjwrhHRSNbJZEAezCAV1Wjf1hPy5LmupSi7rcwsBWUogpDJEP4W6usJ0RGvUNce1PCF+xDfXud6VE1uyxNDKl3kOof0LtvP1d+EEWpdOC3pRgcrJG4JrGZEHA6FK6mGxz/mIvBvjGGDu7HMznNS+dLlD1lunY8iaitILXKXNQbOV8uE19fQqjq2fHEGB+yvcOBvQ7OfeEi5dk4f/jPv8Hj+zp58U9ucGpdjzk4wvi+AbximisXajjHHOzdbuT8n5zjcMnAE4+PoG/K1NcTzKfyGAfaPPnFW0yNP8TzXwLPeIMtlm56fvVhLANmeoJgSCXx3Vsjs6Ahv+TDkmzx5Gc/zKt3F1H01zHW/KQ/MPK5nz/BhYwfw/wZivcyxC+s0FeZpf+QjMZQo+ByYnK0EVR1NIkqjskaL/zNc3z1z77Gf39SIGR3srpZJp+1cFfTx+i2WQb2aOjfSKK612BLT5CAvoV0e52G0omGFF1WheWEivEJgU9Mr6Ey6miVtRg8NbI5FYH+Fr1be+kb6SEa20Ar5wgttbl0pkXytpouQwOvXCAwZGCwvozH1KBwf4ZqVWHi+HZ+79f+iN96L4q6cwv7/EusRCGgEZEbOcLLRcppmWZWi/nABOXFAluPeIm2V7m9fz8/2rSyx5TH7TSTafVRL6oxtSvEI1H29faS3ayjymUJnZ0nHAaLQ8bbnUWXiTH9VB+7H+pF3WnnzmKBg6kQzUKNHz5wsFqO0dEl0u5zo6s2yBdLOBt6KionWg3YZBtGnQVBD4LLyNhDQaYP2ZDTG5i6zfQYKoiZEpmyiqbaTfewk33HDv30OM+c+8nJZBo0DjXPHFKTjsrMzSZApaOnW0c5nKO3p4uVhAGHvxffRgjLm3foGnFyaK+DzXyFfDrHetvAODeYtIZYKfnJyyoMThtKvYXZbMHhkpGUBqFEFSlTYGT7JA5VgMTFPOmiAVlU8Klj9B3vRq/YqFwNcahPAFWOpLqFr6OEdeQaaicIHj/zSz7UQoNMS0alVTP7LT0Xr+e585M04j4Pqy9foI2exoUZpBmZ3/3NHjrLJX7wyilKowLa8SB360YijiCPD8apiBb+/e82Md++hG3Zwm37J/n8Hz3LxfdCnHs3iViv8vm/+gwXQlWUzhxXry+wq8OMolOxlggwOLCP3ekiqvoCF+/mKTccdP/Or7D/zz4JX1/h4ZEcy877dAY78AsdNNUGNi8sM2M6wk8GP4eylsegMnPrSor62nX+v9Nv8dGPfJznf/sEF7/1gEOVm/jlFP/+lbc48XNTSO5+4jkd0Ym96C1qzr38BuaDo9x8kKKz00Kv2stLl510PPERvvW3K6zdinH06TKLK5s8qGrpbirsHXAjm910tXxsPfwwD5paIqFFlFiU4ScG6RwcICzVSEcTqM1Zbr21TtmqpVkQaSg1gm0NrZqNtuJAUKupDhiJCh46pobpDDjZPgAnthlJ1erou3soiTF0nUPUpTyKNM4P/3yFr39lBfvkXgY9ELDcolUtoJJBY7LhDoh0iHk0rQqp9QLXvn0bMVPiyZEyR/rsbO3ZhWs+hlRq8eZ6gUwpTKKdQJVuoUrEkYUmlWITo6AwPaalM9Cg1CoQiZmQ2y0ytQplq4lWpcn+XA713i42jhyjYW9QXqiytFAiYBExdHago429Q4+tLuOuNqjprbSNIho5jnqzREArksg50To0aNpqcgXQOE0Y203aDTUHTxz96XGef+eNk9Vcnp6xAHPpLv75FQHV0BjBwQp1tRVVsYaYbWBTlyjU/GzpH6V46zJbKjUWpAZJqwWjEVLpuzzzi4NUy7CqNxPfZyXp8nL/3StsG3dRLtSptNK4vSLSchtTssDYuJtis0G+UUPeMkhF2iS+VGVw0M+AIiPl48TLIu+tlpgY2Mq5KzJvvOLFpRfoNu4mX4ix9YAJsynBkf4RPB6Rj39uF+Vigsc/cQB7j4F4Xo9qYZVHj7j5xp+8hnVfD5171SzcjKBTa4m2Xdz71xf51J/+MhsDL2A1qmhEZNyPHUSstLjx46uES3b0wxNEfhBGc2OZ4e4KkXIH7u4OWgEvkstBuTlGeS3H5pgGz5MHGAgIGJIZZHGW1+7E2PfxPgomF+fnXaRPtYkXVEwOCeRybu4qTZTkBpYJhfvr63z+G5NsFmXOvZ4gceoiUtzHn/3mAO9/fx6Hswtn0Mo/f0tB7oG+xw/zn3/zrzw26sDU52Pvc/twYiN+doFUKMvGC49x9A9+g5fLfazWwxhqYTKCyL4+kcxakx/8ywdI51QU319i/kYK56MvcGD3EOf/5zmEhbtM7mmTm+jCts2K4PGiG7RQKaiw6C1QF6hoBZItCaOQBMXF++dKxHRuFj+IUcqVyKs93A5pSa3IrC9XMTnGmdCsM91jYff23VSLPdSM/azeW+aF/XeRyxqiSy2ikggGBSmeoTdoI+h18JA+yJDxHrOvzbJ+5g72vBtNdB1dXxczYoaKqENNEadWR0MwomrLKH4jxx72M723zkifizdfTSPH9GSux5h5L4HQLNOOSRgLSRojKu41gviPjjE8oWK4p0Eu0SY5k6TVslHVq3FV68TXGxQEDTVjnZZSpctgIxJr4NLIpIomdE0bHS0JWasjl5RQI3P48Z8hCeHK+6dPjhqLGDyDfPEfzWyu6pnoztOU5jBtttEVKrQkFQ23j9UVLZmmDk8R9K0SKa0d+/ZOmrkCxsEG9o8e5R++UaMtOij6dTTlEOMTJiwNgUxeS8WipVqooWTN2NUWkoUisk3HzikPsau32f7CHrQeDSvvh3D1+ZDiBexeJ12HTAjVKG+/aWfmtIHOWQMOZxT7lBpdq8QHlzSUZ9W4H++kkhdIhzKYC8tsrNzFedAHFRvpQh3V8AhWn450PIfi0jM5pmfPTh3WAS3fefUm64YuPKN+TKYa87dWWYrVcYxpKB/0c+KJAI9oY/SZWizrM+AcRMnWUKppxrc4ydy8huhsE3LqWcnX8HapEKQG2ZgazXCQ0IUw2ZAWEipGH+vm9L0qkWIYqzbD4e03sGklyl0uuvvHCIeNlIQ2NlUJv0/N8KiHlCfGg0qdoz+/m4Krh6GtHeQir+EoPmBiTE+n1sxa1kCn2cml76zjdBvwqqvcWWqzqu/nbsGEVXDytBziqRNDbD+yk3okzKFPDqPqdzHskbGnCsTurlGLrJKWarSHq7imRG69NYtCmU5DP1qtnVq4hd7sJFSq0tCniKvLdPZ7qCxXUK4qfPLXD2MfcHF9VsfamkKnkKIuiYztG2F5MYGpJhNZaHH+doupnUbuv/wKj2xTmDy4n4tvhBk/6EPslclIDdxODSurTXL1MCOWZazOHNLwDhZlH0FvH0K6TDiZon3Ahm7ASlClxiqoMdcU7M0accnB7Q+KsFijtmiiGvPSe3QEe3c3/gELrm4roYyazJiV3vEqpXsruBUVkfejVCNNTC0Bk6WDPq8Gl1BEkir07A0wMl5j4rAdiiJyrIhGAKNOwa3zIG5W0NckGh4NDbFFQ5B56GdZQvjgq2+d3HhvlfPzFTxHZP7k01H29C5SToZZer/EnbqDwHQXC4vrOPua9E/o6B8QsKoLxO1Gci01kViNxw/WsVZVzP2gjK7HQLsfstplSvMLyCs19KoeUg0ZT9DH2gMtrlEXgb1u3nv5DbzxNIaODl5/cYlWKUaXW0/daeWZXwiQUlqs3VrG4Ohi43yan9vv59hHtvHad5dZWxUQ1VV6tutJFfIsalUMdoBbL3IvVCK0HmPmxg08vSKSVUXRbSOzcp1jjx6g/CCBbfE+9e9/H9VMgqRxBwd1bUat6zRNZey7xzA6svhGp5AEPaV/uMnl72R4L5rB+QuPYFy/R7Nq4IrJgGxapb0RYnTnTlS5PFrVOrmSFpXdzWa4wMAJI4nrN7Hbjaj0FUrIdA6JuG0+XC09Koua2bk2nS4R180W2rqD8nKanYZ59lhu07fXxXJjkrOXfcQ3PSyEyxTWltl9sodkskKpLKJb6aDYMrA1JzOurdLKimxzw8a/3aLv8CTRcBF3d4LMqkKtbGfu7TxbhkuE8kWunSuztq6mpjbxuT938+a/XEE34ieV7kLRvkt5s4Tzha10lIcoX9azVRfkQTxCwLGJqlZE43dgsJpYumykvaLQc9CNeTPM3EaCqUds/NIXuuhTVdlYaZFV7Fg1dtbDcYb2GbD3ptk5pEWuKcSvnee6/mFIaDElSnSpRaQENNQBTP1WHly/yo1liEYS5As1PG4XWw6a0DgrhO0qJMFFXyaKVWNAKuWY0wSJ4cWub6NPSpx5dYVtOy3UrVaKlTL6WpR8pULNrGLYVmAyHyLy9gp37mZZzVYpWa0Mas34anmkdoN0TYXBY2dtrkAltMGD5QSWdQmDyo3WZUasJlEZtZRaNkS3Dl2XQj5fxdiycPjxn+We87e+edLfbBF41o96SEZdD7OabUHXLrqmtrH/uT6GvGGy63XwV3BqMiysbJK4ksHf5UDfkKm17AxqzLjKKpYjecY+No0md5a+rg28bhmvfoB2pklvTxu7ukJ0vYBcjhLO17EYs9hMWrT9DvRmEzu9a/QP5rgRzbGx0UMq20l97hbSSAc2fwaNVsNisYZnmxGTocX4WA+1lJqBjm70soCtlGa+CAMT4/RPTLPzsBtXJUlpQ0KotahvigjeBexCJyHfcR6kBrGMunn6959DkCzYbGXMDzIs3jETiNXYCDewKPBE/yJjJyBrM5GQ88RW8zz/Xw+x99G99Ell0ok4+XITo06gJpSp162Y5SImSxFVtc6tm1bcx8eIz9exFOKMumW0KEh35jHcTyCv17HYXAgrNQa3Oylp+7nwQMFw/haNTJSXzutJarVYB/QMDtcIaMusX5zDmzLgt8Nxv45iaYXW9TBHHrfx7qqb5vZO8udusX3QjqNnhfnZi1R0JiSdk6xUZcic492v38RRVKOaVNGuJzibqbGalDg4rCU0o8I+XWaq34G8PkvlZgNTdYR4rEbt0UdYHxcQZ8pkNk3YYloUTYG+LV5seitzLz9AM+mnaDTz0t+u8OJXv04+pcU/JpKuQGAqSFbKcV9xoVRKXDF6SeAgo+2ke1Tg7R9c4sTnd3MrDDahxFj4LMefcnE9HGLsuJ1tnp28984KL/zFIf7pa2t8/5KT/ul+evQWZq+HEOo1FLuNLUKRnc4oWrMWd9BD17iLWjFFTlZRLRRJFMFQbxL+jzALp9MUdhwi+Kn9fOgX+hC1GoTFEqGmjOBroNMrGDUmVhfjeHwCDqFBd61Cu2ihYDPTEo2oDTl0doF0IYuzQ0Yxm+jWjTBxcPqnx7nwxa+c1Dq0xA+6WBcNVJtOpFYX1UqTSDzLQimByZ/GsKWXZDNDo5KmZ8TCoL6PpslBXDOARaMiemEWw6aW6zkLwV41L7heohiJYxWNKCkPpbqZQj5DuKJw7KEtZNoGbpmG2TcpYG8W2aiZadW9HPOt41WXiF5ZxZzLYtWXaQuQaclUu9XMRHNYJTVui4NUVqSo1dIV1FIX2ugUMChJGqYevOc2mVvs5P5qFdolsDvJWBRUngb2vSM0o0N845sJjp+YZrzTyzvfnEO6lKSarlCLq2lH6nQGu9H1a0jfn8ew/CaiZwn7ziG0W6wY7TYGs1nO/P1pvvu1t3jkvx7lwbUWRkREcwWrVYOxWSW7CW3ZxctndfT9t09hyMbwSrNYxrQ8CK1hdQdwHdhF50ELKXub2agJVSuPa7Qfw/PHGdthxymtMz42QPdYi+P7dXznm18noQrjsSroNUPkmnrcdxI0aaBt+dgUEzT6zFwse3nqcCdxuUyoq4TzeTi+34VN3WDEsczYiJ3ichxfh5ruh808vsvPWxfexVpWUVyoYt9xGL1lgcZshD65weAT44x/8i8w332db3/vGj+u+Onb/QgLb7zPk0NuUhurRCOTONsC2wtRFjplenaPseeAyF/vELEdsmM2mynGRPRSk0KhRE/Ag2UzSjQNwWMj7Dju5MOPdjJ3+j4mdZtiW8+EkmLvtetMvNBBwl3GZNBTeCNH09fLQ782wOlbAjf0B7B1mahcidKWKgR7bJhyVXwZiTIy60Yj2QJculYknmpiN+potmoMTAcQrFp0LiOG5w5iGAqSuXiHxdMrKHIRm2Ch6VGoNRXkspoBJPSomHh0gl6bCX0mgYiJtkbCrFeQjG2alQYGrZqyWkexrME3X2X8uZ9hIPTO2dMnCwEjDGqwGL3UFjPoyhXKuRS2XiPmniq1qoRZKDHmsFAtVJErZmbeSaDxuWkU2vjlJEOGIub+/WSPf4a//G9hOs1JTGoPq/UJTCUzuaQZs8vHxHN7uBtvc+p9hQl7hp2RBZJpK+m6CX1NIoiIQy0jqTXkWwqD49OkGj7cSp5CQ0tkpYkz5iPcqJMsFInGmwyqoaH2k1xJoxt2YDUr6N48hTGgQWxoqNpclDDhaMnoBAPlyyriV7Ic32blSPot7nznNmnZzsOf38n64g0ahibe7W7mKzYIyCxn84g7polmPcxclwlfm8PYGeT02RK28U48vR3sPmhg81qY6nKbAdlKOS6QylSpO/RY/AK/1Csh5mIE1Vq2+ot8+NMHuLGySUQIshJUgWWO8Nx96O9l/Mg4G6cvouRKmFZilDMKVdHIlRVwCgU++qt5Bna1CXapuNd6nHv3TAhWCc2ghaJRx+lwC4umiarLxtTHptn49j/hqMZJNixkl0CSGqQ9AeaWGigLEjv2H+K1Mwr/8loBt9XKC4c9XLisoNniQdYpuPv3UE+4+MqpJl947uN8/fpFfvH0dRr3TjO/MoBFreGZJ4Ms5prcyKg54Umj9Wi4OB/HUyviKVR5Y6aHezUH/mIJY0WiGRBZK4lUk2U+8swAR4IuPoiaOf+1VyiFwlg1sBnPU/d1cPqaSMumQVNWc+ZCDrdlnLw4hFqro5ZeQd9uY8yVGDDXUM/NoW6kqOcs6FGBLJIVjVBo4HE3OPz4FCPjevSlOBqTCiGdQWqVcHcIRFUClUQBb7NAU2UimaoiiVpMikB/PoWuKWA0Cqzh5e/eNHFlQaRd0RDosNCo1SkoGtQOI5q2gpAvIwsNGvkaidkSxz79oZ8e56nFt0+qtSkyBpFwIYpeL9D36AiiKBKajVAWEhR9Fqp3FKTKTlr57Xz8zi0WX32Tjz63m0J0hVJMYv1mjvtFkfHf3MG5iJviWDf3iyp8A7tRNZqUb0aJXd1k/c0FRIsNaTXNZDBFJd6k5vDhMTcpt1sUIiIt2UHH/m381T9lmX1forGmpzw8RK3UJLmSZNDVxuwzoPG60NkNXP3Wv7Hz8DALjn7mf3iZP/2cm6gsU9zIYBuw0vWIlujKDB6bjWqixNi4n/xinC1bOpnMrlGfKdI2GqkHcmhcLaLNNkMddoTlGTwWELx1FmZjXF/U09MRwKBtULWLpPo6EdV10pfXWbwu8V/+cD+6rAanoU0iluVey8beZ11oQ3fotUPvZpSzL9/ny99b5W//5gITO/xoerpweEVMKgkpncBi8ZKLttDXc8h1Ca+rSTgq4XIGeT/dhbvPRkfvJSrd3Xz7sp7kfD8H9mkx5W5h6p1Cl22h7VSTK6RwrG4wKd1loHqFPUPT/Ot3OzDkniIUlqDloXpoN7XUPLGZDYwjfegeewKXs0LqJz+m5IZdU148DoX2eyH+7W9OYfyNL5O7NMkfbHkHfh8e2qrwbqSCK2RhrlwnYXNzPmShe7IHh1khthFGp2Q5d9bBq69tp/DEh9hhvE2t309TbUWraXPrtU00jgAz8xoeJKNsPa5AJE6Xvo2qpqZ7h4VSxzA31tUkb19k334NiTkjBmcXJZ2CK9ggpYH5oh5nRxF1ZIPOfT0YTA4s2iLFRhmPVcDXpYbhYXKzEZRWnZJWhSJoKAlabFaZQqlOSdTSU86h0uaw7+7DN+rBYNbSEJyoVWrMJg0F0cR7r90ja+nGs2+M7ZYFSqV17GNmFJWR2mYVoz1AKimiX87i6dVSH+3k0KGfoXLOvf8/TmrFFKnRLnTD/WQTWVLJEkomzdSBXpSVIr50k4FCJwv6UfpwMfl2wSDrAAAgAElEQVTaV1iuNFmli4nHJpDMLjZuiez+tIdeZ5RX/m0Ba02ifPrHrJ9fpChJjD/WTXDaQVmR2Pn0MDev3qU/s4iz04TB7kBqVYnWdNx5K8L6gzSf/nI/j3x0L77ufoIdWuYXqjg3byELInmnCq3QxqsRmZoyseuok8DkFGfvqvAUmtj0TW5sNrmZrRPymVhZXmHn4THclTIb0SIGi5pytIB8LcqtizVGj0xhO6SiqpTQxktsnI1jKrcZe+gAL375GlXVOkcPNRicdmEQBHJKBZWmjL5QwJRqE+ifQBjZw7lTUc7+aInVW032+uwk2kb27AbrepJXrgn4LDm0XQHGf20HU/06ghsVLn8rRV9DRJ0uUaoHGFLrUF+eweTSUy8rpOQmmZYJvdWIwR/k2j9s4vnnGO98pwN/exJbskTXQAm1LkO1bMAYayNkS6gMHlY3fdwO5Rktlrhzy8aT255CqLUwd6kZaq0QXwzxx198HsVUoF6OUwg3KMc1qN1NjjyupxW6x70HLmZm1UzKHQjH+7l+r8rZu2/zy3uh2g032t1Yb9/C0D9GQKflGZ+AnK/i0eWwlOo4PAa2HmxwdS1PxVZiQIxjGnDSXAhRnInz1MdHaeXLnD71gJGDm5g9KUxjXdhm4hhXWxj8Q5z7yQKDTge7J1z07puk7RwgH6+jqHXk7Wa+OuNGveMgnzvYw8aZizTUJjRNHaVyBd9YNxqVQktSWI0rqO/fIbESRbKZEFU1mg0BJV+g5PSjNzqILTfoMZrJp3Uo2RqCqFAtA3YniUYN2Z9negR+83k3Q0iszC6QiULNbMOuVxG9uIjfoaFtNYLHxIYaxHyCo4/+DNGYS2e+erKSSBEV+ynlZGxiHUVnQlPLsZISSWdlIqkk471b+GZkD3K+n/JbX+FXP/oR4sMuNiUtzbrEqddfZd9hP/ophe+8fAvn0w6OfsTD9PZORoZsFMUq9XYK745hXMEczt/+GGfejXDCC5sFHcWlJGPbvYzuHsIe7GNkxMd3//YeL70kExMENCURo1OHZshDx34HxYpAqZGmZbJgHyhy+fsXCcUgMDLBZjzMmEaHaes4kd4my8kVdo37KNxNQbGGabwPRV0jbBrGtedZastpzthcOFNz9H/9Pr8TN1KJt/mnV19Ho57n5z+6h7uZEip3AL/DwmauTsahoq6yYNUZ6a4YuHcxT0lj4dDfT1IrZShHZ8nnJN6dmSG0JhGuivQd0DAXN5BYXWOow4cn3sAT62K0z08mGiNWMyILBhRjA4svixsLZbmGz29g/d4qWyQHrYuvIdfj3M3F2THdQ23/47x9c45DDj25iofejg4M2Ws0SiXyVh/KeIDtdiP/74/UPLxllHxik1whjVEsEU61ufIgg0ploeyrocgKRo9Mq1vPhtrIq1c28I6JVLV61poBGhsrHNvr4tY9A3/4zUXmL4DVtpdP7dGxlhKQ7qzy2Mcmuf/jO6RWw3jURi5WXOw5fo8d4/PUbsTQNdtUA12Uw2H8OjPDBwzoh9rou7TsecRBrJjHlKwgqr1c0U2TNDopvnmGX9+tZflcgWpKzWp0Hf+2LXjcnQz4dPQ8uQOpVWLh2kXcei+Wbje1ShG/10Q4XmNj9gGpjSWCYoztzha2XQeodA1AIYOs1qDW1RB842wsCOhSOUwqPYLQREKBLiNSKky3WaFJHptLRBOqM/e9OUrhGmvNEgsJheXlAiaDj1SyjFOnQ6tIIDWYDeVx6hscffL5nx7n9yI3TgbHh6ll6gh6DSZB4fZKEa/RTJdf4eEXdrBegEQ8gBwY4Hc/o0aTSZGgSSRWoaI1kYkmeWZ6O8uXbpEtrvDp/zzKmlIl28hgXMmxmW6Tq1QoZPNU7mW5/fpVmtO7WXJOQbJGfr2Ax+WlVleh3UiSXM1gLhhoz+QwKyIuX46dgyC4LWRrZRpKHpNWg3l0hDfPLLG6ehWXZZlPfaELY6OJ3mZjfllBDnp57OgoarGNKlzF3RkkejWHc9DOse0aBn5pBzpLg7/80neRv/gcA7tEPpk4C5E1jF/6B16eLcL6A+q1TtbXtOTfD1FYKlDpHKNZUhGoK3RHoxhDFQpVhb6telSxJaRbKlRbvIw95sC900GHp4OBQJWFeghd0EK300F0rYaS1mKQGujUVWLRLD3PTtLUO1mqNJBVZbb2OymW65gUGB2zkzwfZ7AQwdQo4p3exvWkREjbZHU5RZdZxfWsAXf3Jo1xPSWLl7e+f4MjH5rgj7/xIyTdKtdKIqYnFQKP68kLDQZ2GGnb1BTaRoqpOg61mmq6SqXVjS5VxWrUos/U0Rv9HNzv4/3NEtMTm4y0JSqLq7xgPMJCUotbZ0OfMmAs7aZ5OcyTPg2Xypts9Tvp6ayTKWWw7nAQyWoplrQ0tR56AxZ0FIltxEnF4sSrZa4l/TRHn6X2QRiLUeCO3oGpnOOJripHOspUamrMUpNLkSwdXW5m3swhvb2J/to6wZaAUDGht5rJJSWiaylEuUJb2+LgR7bR9eQ0nZ3d1AUTUVs/C9c2COgsCLRRC1p0tSpNKcfwhJXV5SqOUS9Nix5Vu4BOpaKtGKmpFDoKOQohsKlctL12dHY9Kq1I/1gHLV0by6Qf2aYiV2sgd3RipopjyMC+fT9Dz/n7f/rgpPZGnoahTrGxjlnI09lfR2yZqKQk8gs1ZFsLd2+A1I/eYPTBa9w4E6V/55MYJTAbKmgrIQ5v62RtwY2pAd59CwyGLqCSZMSMnqgnSFuv4OnQo2lb0Q67EFYitFY+YJegZpuySjnlQvSb2CJUKIfqSAUVnnaN3vgGgixxTe5Hr9nEPG0nlstjT7fJLqaZ2Obgi39+BFcwwyvfWCT5Rgn/xASD00427qc5/9ULBMcaCKok8hYL3X4tpWIb+T9fRPdX32buzjJvhAaJPnYcWTjFc705/u51L5/f8he0fA/x87/nZ/RRDcOHnbgCZowmO2K+RfLt26jUVQ5OyjQtOlZjoA3IZONNxo9tIbg1yr18Dr/PgGZlg0ZNR8NhxyoGmXnlPv1BO77uLlKpEoHRTvxPO3nldoFiQkKrqpHIqqmubBBfMPNgQWI0oMLfKrPrE0lKOzvZHJqkL5/kU7/bgSxfQanb6Hj2Md7//tuc7+ph96/8EvfvL6LY1cSiRfZM7GTnIQ3dT3qZP38HedVJ3t6mrq8wqSmRWknzkD1OW1CjFXyYwlE6ppqEjlsprl3DmUrjUtdRaevofd341hSCw032f2IvF74zg5Qv8ZFf+zzKe6cozCzQGAvSKpeIqASyDi/X7no43GvEeTFC4aXL9E/1MSNJOMZ0+HqtCJoab/8gjGXHAZS6QiG+TG1+DtvlGMcP2FmZf8BawERU1aZkMKB22bAJRgZ3DZMQVaxVk6BvsF6sE6hE2b6vijg0gWCwsRAK8v1XB9iM6DCYC1g6tCzfXcdFE5pVWoKIJGqoRnMoYhOVw041n0VXlRArddR1hUpaoCRYMGnsjI12khWbVIUYzn4dwtZe7AET9kIKi9xC0etBryG8WMRhFbh6rsnHf/nZnx7nX3/leyczH7zMwecDeB4fI9MwkRL0iJtNAnaF+aSOwuwGA9UKHmGeJ4dKZIw2hKyX298/S39vJ7O+3Wyv1li4V8JwY4bs04/wH2er6KpG9O4AOk2NcnyTchtElRY5IuFV8qh3jFBMSZzoC1PffZSS0IESzqLvsLJR1hHWDtMRO4c3oPDmxTjaXAJVzIZgcdNltDI96KCagO++k2SmMsLW/QcYCgbJRbJEcjEURWDHHgN2bYx7Vx7QtqjQ1usYrArWx/cQcMqU9vdjOTpAc/0O137yAdGKxDt7P0z2koUe/110/K8/oIWUGpXNSnjTyoGhJr8wpWLkWBdvXy2RdxvQqNWgrXFrxUDT0KQQWcNo9LL8vQQzBSuzYoOZMypkrYFDj/bQs6OXM9dCiL8ywY3lK5zbSLGetTO1ZZj9GhUT27bgm1JotHwY0nUuxp2cSpqYb0RQVVPYnVb8dj+iP4fiLNNxYB/unnFe/KN3ObF/ktY7D9iuKqNzqLA5vZjnItz+1k0OPL2LulGHoV2nYhAp92V4Ly7Ah55F+PEphkxm8hoLTGhJ5S/x0U4Dtfvr6Aw+0kmRreMmSlELroqNYg32f2U7hfEVovlh1v+9zJHdecShNvMVDT6xjiTqqLYF7HkXinuSE6YG6nOXGe8xsRgSaW/YaMUMNNHRtctKh72OemYVzdF+fu73nuC9v3uT5mKZurtG47gTrBb6t+3CccCHy9Xk6q1Z1DYLTaceYbNEOtiPX5skee8eFy+lqeUyVJc0NHJGJm1hBu03WS/UcHb1ILYktCYbbb0NHWZ2PjFCNhmnhsSgRQJRA34LqOw4dXpktYFcrsjiB7ewH9uC94CXckWhtFFAFQohFwXyFTPqao52UULQNAmaa9y+XeSXP//xnx6nynTh5IlhMO/u4s0H3USqXrZtDbBxOYzbrrDt959nyN7k+k8WOXpyBGczS7LtxezuJ/5elqajTWX7LsylGLp4gapOx8LhT1HZP0SPQ8SYWqZbqtGqWXFo9ejUbSoVhciqlkszGsZ7dDjzDwgtlGk0mpQiIWz+Loxyga7JAfZ0RZi9b+Ke7TBtlQVzBxidIrGajrRaZHi6k7maFo2jST56C5fNSE4W6HAm0NnKLMSr6NMR+oIqLkfquIa3UBOG8BuMLDfMzIoBtE47J7b62PHoUXRNmeGHe2nM3sHpKzI2VUdRauQkkXK7jVZlJFf3cXchy42VLJl6C/2EFqdsZ/vT+7h5z8qjrhtMC9f40XtN7t+V2P/r2+iz1jhyLEDLoOHMP88zM5OmXd5gYGsFo72Oa48a0bWTD23tJPj6OS7dXmG+a5gOq43HjQ+o7vbD8BRpY51OUaaYVFi4rWJmucL1c3Gamk4W5+rcu1Pl2PFh/Nd/xJgmyqa1i3P//T2eqofQazyELDXyBTUOs4Fiucaau8V7lg+j1m3nWvmH7PtCNy6PH0HaZGHvMYptL/WLS3x0spP5+TLalMjU1BY2P2hwujLPsHqTHc81WVB5CTTXSHtKqA62KW62kcsGqmUnM4KLnHWcubfmOTq5htxp5N3rKg5Oj+OdqlBQZG5vJpDXKyQKOqpSAmEwgKpcZvNmg8ruPTRPbCNXM7Lxk1nKoRzZSJzqcoRytcToqJcdzgg+W5YVtxed1GKqSyYwOYjJJaFaW8KUbKDfvI8h1+TNZSOK04NRLyDVNFhsFZq1OpGNCoXgJDZ9kdT1BQR/H9VmG2lDQdeo0dAbGBxQwB/g8prC5StJDOUSZgq4HeDs9mDR2mhSpoKI7NJiMIk4R4d5+Oj//tj6/54h9PZ3Tl6/X+biPQPORgBPO4sYC5GNVtHXDPzwew+w2bUkPTs4O7ebjZcymGQDub4Syc0GY8eMGDQtBMWJLd3CPWCi0BJIhi7RXp+lqpGplgX0Pj3lbBNNwENbpWGs286RKdjTmaPflGb9bhNj244joCUjK2jCaY5aNqAm8MenPTR3PE7T2sQyYKfbkEV02alWZPz2JpnIGj57mUCvQC0nENlQYxIl5C49ksmDUh+mqeqiuKQDnUD0nQWWllLU9EaCdciHIsRn5ogvJJFLBqLXMoxMNHBaC0TnJdpFAy6ziVy8iNkuM4eLO2k31VSDiQEzA30ekverXP1hgtxyjrxtiTmbi4m//BQnv/A01UAFeTHB3Vej6Mx1pg70MP6Imx1HA0RWF4m0VAh6cM5Wcb7zDtroOso2C4aJPcSWNmjIWlxW6GxsYFf0mIJj1DQmgk8G8W01s/9DU5SKVdblCtt/aZLZnBGXp4BPl2a12csRmxd3n5mi1kROp+AoN8ioauRFNZfXtfzx5z/DVzvd7DhQ48fLPybg8RCKNMkyRCE+xNGDk2y+VUSZ9lBsZcmWk1i6ejl9apM7793l8f9nmNzVC9hjMULJbXj6R6jpdaxmqzjjaTLL87hGLXTZoqjFEM6DO9kw+yg/aFJKRNg6olB26nAGbRj6uwn61DjaIvdeCjG5cycF2UG5BLyfYcKtx+KzY/MojAwqTB73c/MHWS6+PUuyexfSXJiepkzC7uPdmTpLKwX6Ry1oVVnGB8x4vE5qGgt+o456uoUg6JmVavTaLRhoo9RUGDbDdJaymL0uYhY7epeCzlSnVBVo1fMYfWaKSzm2//+cveefnodZoHs97/s+b++9Tq+a0YykUbMs2XKT414SEicOwQkL4cCSZYEABzggONk9ISyc3QTCLgRCSI8Tx3Eid8mW1UZdGo2m95m3916f59kP+xfgP+L6cN/39bvusAnZGqBucqFURCrJJql4gcBBC8lMjrrLhKZixl5ucfTRDyG+/+AbZ04ScqF1WDDY6kiVOLaImbbVgsVnIOzUorGHmJuus/S9KmcW3uHBTJ0Tx2RGPW5SGjXb60UOzV6jdCNJ5KOTvJENkLDVCOgzSP4idrOZmOwhXzLQFanTTkHNamD3YRPFHYVYTKa85WTy4/uxG4fYWC8xiIYjgRzuYJlLsyKlUpnxfVCvl6lub9HONMnVZeoaaDcFousKolRhIGJiz/0HSRfb1EpV2k2FHnUD0aHGVN1m5MFB3Ppewo4GVp+L8tY2E0ETSr1DQmkz/PAos1fT6LQmuiNG4usN2hoNMkb0kzbcLGPorHG824/HraW8GaN31E50HcyhALufn2DoRIW4ZODCjMD0Ny8xc2oBn9ZKrGsUm1WHLqfl/KqWlfUK1kwTi9qNCxP6c+uMeKpMa3VsLRl4/qF+dms6lItpMi0VUlsh01ZjbrYJ9im8Mv0LNt9NkN4MYLXa6X6mwcztdRp7D7K0qUe6YMdcUzN6sJ/TqSK2iJ2ETY+7TyJmstOSDOz+4z/mhWqDV/7X53EK61RKowynPIiXixxydnPufIx7H+pDuXGOdKeE1mPAcGwEq2kCbyvCkhDhfUOYxx48T08+xdnUGJWNDgPjWnReB/002G8CpdWkoPjIT+soX4qy1y+zbW2h6S1hthW5mesjKmnQIVJdq2I3VXH3+vmn/xXFd2WJx6ZkGvEGvkCOvq5uorEC8bUid6+naDsHyQ8HWRE8yLkOA1KLfF2POewkfyPK0891U402Ubw9pBUPao8dQQMeo4DWKlAYjNDJ7qDv9WKydNhrayB1zFw3HOFo8iylpRL5hp5yNIrNJOL2BdmKCwjtOtVGlbYsUNuuoK7XEM0WtK4G5VSRSFhL/oZIfbPDiV/+EOL71vV3T3aEMv5eL3atFq/LTTabR25D0NvGXq+QW8xj9CrsHlJ4ornC0+NZFgwyzbaHtbwN1+ExOHOTrqcPYD7Wy+f+vEzP7/4yY74oDm+VLkuQ/QcD2LUNCuUaalmPYu2wlJJIZQRMBRVup5FYrMTsN64x1dUipN5gsxRnxenl3j/8CKdOXaDLb0KjlxgYdCKZtbjQY1Q6GO3w4m/v5df7BPzXi/zktTrN+UXsUgBDqk1fPo7O4EGRbYS1emLzGaTNHWp1O/qAm/W4RFZR0z3mIn5xlnpeg1ER0cTLCHYnwSGFek4i0ZEQigKBvjC1q2nyuQw6vZl6VYtgM9JRcjRqa9yObVIrmbFqdPTprNgjoKrXEUUjqmYNQSNT1OmwBGzYuk0orRJKO0D7dpWVxRUO/I/P4N/Rc/Urs7x7rcKtVJ6aS4+gKeP2S3R1a9kSyrimkvTUDGjXwrgUHZ57ashKikBQzWOD99F4q86JgQrr1QQ/+dYtgqMGugYylBsLGHUdVP4wd96/w+rKafY93MWNq4OMTn6Go/taLH//Gv57HuZzD32GG7dXKJ19j/AzHydxN0rYasOtNBGWrpNUe9E695B5a537Hgpyp9hH6pt3MQ06SMbirEsS8+YBND4DulEj+Q8y1KbvcHA0wIqmjMXdJB1LMJ3bi83QptksYmhJiC1IJjqMWSucGK8SU1Vw7opw5eY2p8/WSFkslIJuSt1+fHaF7lEXpLOMO01otA02l3KMB2wkXr3F2D1DXDofxyavoxhbvPeLbWxuPWZ9jXSuzIhWpFxsoa7U0BTiZDN2/v8fSrwxbWFk5zSPfXQYy0gZ81CHaMLA0oaEf8BCoVhFL3YQKjV8PhPeARvqpkzLKbG1XUPQabFkO0TMCgee/xDb2qvvv3cy16rREZqk78Zot9toTSpcXgOFusylmTymkAdZ26SosdJrixEySYgP3cvr1y2UlpL0nBjh/HfSmIJDuMfKfP2MA3liinDxPW5trrD0dpXXvrKG22xh4Ile2hodqVtJhLcK6K6vY69J9B42odF7KF4R6bbUWXv7PLe3m1xL2WmH+rmldZNbzhJ2dRCMMuqIjV6PSHU+jrojky9ZSP/XH3LljRVUAwG6d0FGN4hWLiNbNbycM1EMe7kbTZM6u4nb2ya7lcboNFMryJicahSg2IbJZ/owhUt0VtcYOuLF6IdGRSGbTlCp+JiNG9CoPOxzpzFlYywLQcK7rLQ2FxDkNpI2grbqx1TQYimr8ag7qLZzRIwFtmINHHY3Q+YiXY02F/IOJDFINOpmYl8/ndtLGOp11l+rcLNopugLY/ClUVl0OC0l5k7FybbdXPzxBYyqedyaEO3bNlbmAqjCHUwBMzd/sMaXn/p1tk4XcTZnSCtJ9jw9zMBYDZNpB389RjVlxqwzsmdyCMtWByHtZvoHThbVfvoO7WJz8ya3zkT56Kce5P8+fRHTYRfNLQP61U3qcRj/6MMULBbUr36Ve8dbBBZu0IyaCf7n+7HkVth0msg2AvTk83iqElIG3D16nn7xUbQVE8vLWe6kKpgHq7z0Uon6dJxO1zijvjYmUWDXoI/eQx5MbgupdIZ6ScfqexuM39+PenIv3kEdXRHwTdpQRQusram49tYW+Zs3OfGEg996uIIluYRvYZ5L78icLwzwS196gAd+fZhs28l6SsBoUjALMqmZIs5BgVInR97cIZ8wcOy3jrL79/byw7/5CTa7CXGqSkGrYWa6hLNdwK3LIwhqTEYDnogOoSATjRaRci1ks4ZcU4Mi6zHLAq2qzH0fe+ZDfLa+/PbJcrON2aJCK9rIZgysLRsw6xukilrSgpceu0K/uozXE2DnksyVt9fQ7Z1A0VdxylHKjQyTagsh0YKYu4av28T5C1d4OJQnFHKw994DJLbrvPHqOm+/vYI4MYZep+K+ZpSB3h3yfR5m3Tpqmy3kyCDF8QiJjpHRMRvthEAmscnE4xFW78SpJcukUmoqy2VWbyXJ46KgVVHXuKjv7mJNF6ZlUFGQNdjkNk5NHcvEMI3hdeJXf0LwWIiRh/YyW1II3T9Fu1Si2GjSLstI9QY9Q34cZiedgkjyRpPqWprFHRV1scNB8TZ9FhXVQhM0YK0k2HvAxEZagzZspV2ViLc0KCozhkYdj1IAjYJSKlK3iqRzKlyRXYjLS+iu5SnNNUiVDQz2gDUfpV7R4PNZKFeaLBWijD9s5fEXdPROqrF1h+gUBYz9foK7/eh9NkIFEclkw2DwksusoBLchJ0i/aFHMBkNtA6XOX13GnuPnVrRwnrawDlzL9eKEWxGG2lVB20thrOoxp4TOSZa2SkVeKeVpfWgyGVVhbXxbaRLv2Dss8NMf2WNoUKBph2y2h0K+3u4uG3i5rUaZttuYnknM8k22k4F9fEx1hQ9UqWOSuckq3ZSSFeJrdygbKuzUpMRu4e4cHGFoadHqc1l0FrcCHKJhZUCN08rlK+XMcxtUXer0Xr9dGIVzLKMUWrjkRvEYk3WlmqETBLalo5uj8DoYQ/ZfI1QSeHyTTPmkS5mF0X8T38cpdLkwtkYleUkzWwMjahB7/Vg9dgpF2QEt52WVsQv19HtrKOaOc9Hv/I8p27Ps1NUaFnt6BUDllAX7ZaBUlQmF23SKNQxKE3qVhMNg5lKo4Pfa0VU6ynma9TMFh5/4kN0a0+98vJJtcOASlHIF1oMdjnRWHSMPTVM/OYMNqMKvdxCJ+rYnN7G4dPhOCxjjPi48sYVDvbqcWhb7GrYKW43aaRz7D4coe5KUNxpoG7paRVMHHw2yOh+K5ZOAmHvFAbVCN13c/hKm6iP7yIntals16j6dFT3hAmtZlmby2AMRzjorJJPxegdjjD1mX5SWgciNYLDFkJTEYRKAw8Smy490kQ/zmqcXAoM+ibF4hbecI7h+0po9jlYXcrTrW3QNnZAUWgmVSRLOkI+DXqDTLxcJn99lcWfXWak306vX+CVmTByLM0njRmO7z/EfrWG8uU1Uq0qoTEVhc1N2kYdW+0grbwav6FCQy7R0OgQC1Ueefl7PPFcm+uV+wndM4VbFWVSp8ag97J7yMm1ioaWTkXbUOetW1usmCxMPNHP2FQNv5RmfksiE7WjtHNItjpyUsYlqbAiYe40MPgiSAY7Zbsdc+YaNyjx6je+x8c+9yJCqoFisJLU2JHDArG7NX5llwpfooj6T/+MpV+cY8/NBTRJC8IdFeKzDb52IY7NtES3w8krvj/n6ugGHzCKzvsJCrUKc48fQWzX+Kxvm9kdC6meHnK2KitbMqEHnSg36owNyfSaRdR3BDo1mRXrbsplhYlkHOeBXbxbNFC+u4630qTMKOV8F9eaHRbqNWxdflz9fpbS88xms7gtJpzry4w1mrSSOXzNJJqgna1FFfXlFl1HhvBNDRAZhMXNJjY0rMQEvlMeRBnzMbshYcymqMyuUZVlxhwFDh824+sS2YjGGDvqRJJqpCsNHEoHLSDl47TLGnItgbJWx0AghLjUQR0T2HWPGVWthEo0IYoGNtaKDAz7iVVqlHZKdEpNRLmFSdXEbtJiN2s4+sCHgPP62X87qRrwYCyBXakT3O1ktVbAbRVZOLOJ1qJCb9dQbRspt7XsmbDi7FEjDezlbspCUNtBNht45fQyT/+2kZlthXe3rP+nd5ttYquYId4hm1KQEtMiRjAAACAASURBVFUcJicUQYp1qBnUpHr7Wd2RGD3cy+EHIpjbEndPX2dwIcb+0jqVRofAMT//sKBhfnob+foOfpuWPSMN6stVipKO9HwGlV1iqNtKcVlCjglU3p3B0dmmM2SgVMuz9MYOO1e92OsRgpENsrUFzK4WLrmL1ahAMLmCeiPJVtWG0ipz7MWHya3FkIp5bJ94jF/jKvFvLvO3/1xk/603uf8REfN+GxfiMkqfg1RGRtCY8HUErF1tMkaRGcVJWZrkDz1nMP31Mf7172sktD5aLhs/PyOi0rTZ/KBBvJHH2lnD6O2w52gXAaeBQrpJzuiksDFPuTtEq1WnHI+RTsZZu7bFZk0mWnaSMoYYzt7GaVEoq/RUh3WoPWWG9nczvXWOvYY69dU2p84U6HFm6I2tMtpu8sN/zvN14wPcXXDxmyN5YhoTr0aj6P9jA6WrQWemjmS6wnJ3AqGto9W4xZB0hOfEIN0njnHpfA11dBZt1YTm2gIHzVUSa4s8+enjXP/6RWLnJQb3iMzc0DN5YpLG4haagEwpFiW6WuboM0fZWo9xdNDB1ns5NmINugbqGOUqvUMmtJkGU4eMPPZQmLTWSr+qTvfcBVTxTSoDQV76y48SDI/R69zNynqRCy/PUpxZpp7WobIBog2nQyCszeIaddM3ZsfskPEP+5BVaqZPLdI26Rg56iKXahJfaWHs2KjHa9RUYBoExSRBoYrXUmd7VodK42X73A7HjjsJqOrINQF72MT1eZm2bCRiE7HbTdSaVXZPBYkEDJTybVRyk6MPfYiZ88qVn51sKGrUKZlSo046k8NmUTF7eol8voWlS41KlFGZPHi7ulBiSxTPL/PeL9Lc+0tPUjiTRnL3cWd+hwOjFhYq3RQ8PnSGBLVajVrVTLinRZdFQNWSqKez6JptisUg/vVNBNJkojHyi+vkXv42mxc/4GCfi9WaA2xdbLx/lXv32wj//nOkzBNoRxt46jvE81VOz4PqaAQ5KZFMyAh1iWtnF1iMN5jsMTD+YICCycL8nQIVUw8rc2Y0O2V8Y0YUpYW1x4vmro9ZzX3UzT76dwt0CnZqu4JcTNpZ7bR58B6ZLvMMG//pFAuVI9zhl8mrFGYcQa6rQly4lCd4dARVViJST1ApbFHu7ebO8jr2iYdRNx6i/LWfEv2L0xQPD5JpwPKlC/geGEZu11GcbZ76wwP075NIF4oUkzWG1C5K6QrrajX5fIxKNs7ubglHxIG6fxf7Jn1EAkUsLgeNQpPhWIZ6W2FHK7FhttMs5PHpWuSLDfq0Iqd+niWyK4hokWks57m+VqUT0eI7dpTSnR0mJl/jXLtNeVKPun+VqnkdYe9hdpzXUIdy9Jo6BJQac999gN6vf4rdTRPdqhb/PTnHxMef4ZV/OMMLTw5wo+hg0mekK7TMjctx9j3cyzt/J/NwpoLl7jyecAZ/QCB9t4psMuP01vCb04RdKpaMXRx6zEgzXyRf11K/2CGaMBGfS7CQb9J0jaPu6HB5+lhvhKm43Xz9/71JPi2g0jYZvceJNpDDOWilkcti6zQxS1m8uk0KYpNssoxDW2NrLkm1qMczFqK1GKW81aK2mcWgFzD6xxkZ8WKsK8Q7ZbKKHk2xQWC/m43tFq2iFp2spndISzuTYyGl0LCr2HfUy54hDepqkYbQQJRlWqUaN6/EMIddqM0yx+79EGnMn7z78kmbVo8+26Z3JEChaSGVayDqFKYe7ycrydiDJswaiez1EsLKFgfqOj64vsJn7t9NJpsmM7vA1GNdxJYbFOsmttt5THMb9Iz0kJUMVLR5yjt5oi0bFrsOd6fG3qCJ1bdmESJ2HIcDFJqr6A/7SVtFSrfrxINHsB4aR2k0mBEtLOUs1BMyBlFDJyUh6f1UzUYiQyL6uSQqjRu7VU8gqGJiwoKqKZIoFal2XNTRodNqGfapGfeKVIbsXKyPsS648ZxbZ1GTYNNloN5VIHijiT5iImxao697Ab0pQKagJi1mifzWUQoPa+n7ozBpl4jWVMNWkjjxkUmiay0KUh2jXUYVFGi1ZBqbItpbMVKLF9EwiOmzEfqUOSamPHzkt3YRK6XQDHW49W6M2be2CHn1REsiiRa0tWqGxr3odW0CA4fIbwSYfadCxWEkOj1LRYGK3GHU1mJVclHWifQMOcmG7FTWLvLs4zFy0TIuxcaVuxK9g22ya9vo62p2WWVcXQFSZYmelR/z2KN3uGHP85ptnKPZHMOX1lledND7TpTwV3uZnP8cn39tD+LgJNI5AdVjbdblaW7Xl5mSFJzqCsObUVJKHUknYn/0AOvZvVh6hwmtL/MrQyUEk8y8T6FhkZBbHZROG02+w04mTdoRoWBysvS9VXTlEiqjngBGBkN1QoE02maUTCKEyeEhtpAl1mygc0tEIwHK6gAhXZF0pUraUkcrl1m6mMRclNC4oaMvsCN6EczDWKQqKrOPWlOhLeUZ9tgp1M2sa3rpcuqo3byD2KwjSBmsVieV7Q6Njp6apGP4ni62L8/Q06+mXhIoauxsbWbR6C20ElXa8wuUVmsULV7cahlXWI9scVFtwMbqJs8/96l/P5yzly+fNMRFNrckTt/p4eacivEHRBLWAheL66jI4vS20Nc7NOM6BtRVBjNbTOfsuPd14b9vHKVtIqQV2dgoYd0no6jVtBoK7iEv+mQGVcRJQ9ITS2ZRCWvoGyVCpS0m7mlQ8mqYuL9F/3yVd0tLDOksmEd7iXgLFFeWcOobbC3a8fSM4pZzWIwxMKnIKFbMFgltbgu92ojW7SWV7ZC01ulILQZ3jdHWttHqOtRSOSwWN35jh8pOArOQRbfu4/m5Fe6/mOX5kQFWrwiodRsMtfR0+RQSxHB7l3B7b3P6L2/jcTnp7zIgJBNsnovjbSbw5Vs0pgvIughV0UqhYyIabyHoVbRyepqJKOHDLgy7nQz+uYX1pEzKZmGgR8N2zMIHl5uszS7gd9voeKxo9Ha0ThGHR0e10YbMJvahfUw+/ym+//U1BLOT3qd7ufXXb1I/s8WNd2+xL5NkfMBM1BCmdXeV6tMfZe7bdZ6024jngty9kcZviCOZVShTVr77vbtEJkxktHk++P/+keqKzO7fdBC19FM9d4D22XV80hLxwWEOXLrDAVUYITLFPy7WefEFkbu3k3z82UXeeW2O7ewOY65b3Hn2cb75foJHjmxzd6uKudKFyS3QkZJcff0V1EtrXFerSdncNHI60p0wGlGkJBsITTnxOjRkijLjIyKmHoGKrKdtLEHjLr5AAZM3gLOeYCBcZaucxbTPSE5p0TRUCPgLKGKDfFGPommRKCoUbsH85TR+TY1Ka4flpoWWEqBdKCFXRPQGI52SinyhjNrtYUUMIvVH6Q3eJn7lJrWSgsprx+yyYs83uL2SJ7DLiaBrYdGbaAgCw/tEkskilViToaCFQqGI7PCQ1So4bHZacpNOWcYjp9jT52Hi3qc+hITw5X88mV1KkDBokKyDWO4scpRbFIwyoWMmxrQrLL58ka2ZNomYHr3KRHK5QjMcRt5tpVbNkzp9hYP7XGwU4dhzRv72y1dZKvfSa9OjrxuQqm3aO0n6PA2OfeY4UXE3d949j/rgbjrxDPnNyyRn1rAedTJ0DW7P+dkpOfA4FFw9A5y5kGUtUyFyMIdK02RpI4czoGZ01Ie+ex/T00l2Tl0hGDDhtFop3U5hqeYoJuK0LSbcYp7BAYmMVMSgM9Bx1dEazXz6sIbIF/4O8ZiL5U6MoWGZhdUa58sK7+UVZnIr/O4LYSLHHSSDj3JxuZeOuoFq3MXOYgKx1EefPsSrF9vk0jsIW+cJTvaRSJTocdexBIvoKkmGuwQKaZlbb0aRqjq2U3fIG6zUd+J4Su/SM6Gn1Cmys9Yisi9ORsxhGNBha3hYrFrZXt5EVtSkVjLUVQoD992DJyDw2P4wPV0qBL2d5W0tQcMG1QEd+flVWlIGXchNq1ilV5BZPVXmYy8Ncuc9kUorz1BWS2Z5mbf+yUTwwDP85W+n8LR7yU1v4TcqlEf3snKhyqd+fZB3UhtsBUv0xX/Mjl9m3rDKpl0kuprlAXeLst7LtbSRHt8WffvqzL0OYU8Ks13i87/aT6mdI3v4KCFTN7ZoA6llwhQ0EizmsG3mMJm0KHqBRFZAY/GhGAU0XSGkop2f/qzB7Wkj269tEHhgnIoqi6O7g2CxoJYMtMtrpFslmnKZvs4mg/46wz4fR0I7nPhomGijjckxglhT0JazuPwm9K4OckdHXtYwYJVYzy5T12Y4/oQWQ8DKmmaQ+USLgW49QsyAOtwht1HE4rdRupNH0si0ZS2ixcT87QaH9gxQVMr4QjaqQg6v20CqoiBozeipEb2e5cFPfgi3dv2n50+W8zlCD/ZiVmI82bmNZ7DF5ug4yzo1upKM3NLy6O99mq5eI2arREEtYTnYg96vgmIHSz0DwX3c/GoM57kfUCpmcH5yP26VQrGWo1Zq4u4ZpbI/zNxKiqtrGkoJLa5HC4y042RLMS5KhxkM+rGfz5Crqsk4AszfylAum4kccdI9YaDlqBFdLGOy2tlzzwEuvTnDt/5hkf6RJvs/3kdD1KG26HH3BZhutZAsGiqZCNaZBgGnm7pDi63WZjuhQ/TtI5qxcednAf70XxJ84tOD6JMd+vYbaMtN9n7yIc5fustCOMdw7yBfenOS5a1xPjKwwovP6bH37sK2BIdGC4iHDIw8M4IuAnaLhsConXPvncEx6UFQbNgUAfvuMaR8HGNuiWgT9ogyvvXzPPeNP+U3TklMPuLlocfczOw0KNb8WAs1jLIecaLFZlPGLSbZO2FAaf6EiREdViFJ1eIgL+pZnS2jFu3sctVg5Q5ytkDRYmR4eIBr//M2w1ovqatGdEPdpNtabmQ26d81w79N/xWPfvMgv//SNe6pwaf+6kmK165RGdrAoOR54sEHWX1Xz4V31zj0e58g3pgncOIFfvq1AtrlAHvcAdLvzBJsBPGMDhC8cpdf/Y0wVaePUzfL3Hx/k/t/7SW+84VzfO74GI9ab6NciuNyO1CZ0yRLVbavrnHAleLIQxKn4wLJuQ08bg2ZjEBP2EHwuV3cdyxMYlvAPNRFvbhNyCogyVbKJSfhgTCKocnwWItMSUvapkOqdHNtfZbeUA9f/tEdhvTD9B93s7tPg2yEWLGJfGcbo6DF0Kyg8os0MNGjaNGttohntahNEjs3l+jdFSZraCHIHVpWNdaAi8VEmVRdjUiTjODGoSg4/Rrq8SJlc5l6U0e1okasSuQTajxNLfd+8kPcOX/8ve+eZMCE4HBQbHfoNTbIWCLEkg4MLRMB6wjpWQ2VsoGl791Cm6+gsloQjRI7iwV8TiNLHRNn0gr+7DYPjsZ54fe7qY76qcZqlFQG9GEdWjHF3GocYzLPk8N6PhJ0EuvqMLWrjbWYYna9i9iZJKbhEM4pN5hEdu32EO51kGskkSwSWbUOnacPs97Dnfc3ic0nOHgozMH7h1DTRGmYaZzawu6xsVJoE66kMa8X2TmfQmk3KeYlBjwOytUd4kqJzWEnNwI1Ms6zRBpvcuVyknqtQbaaoDr9Uw5FDLTnHYSUvSx+EGZ0tcKuzVmKhRJv/FueG997k0bbznx4lLd/fBO1Wk0NA977w0ztlhn3asls+lGudlDHV/D0W9ismTG6wwhmWNgy8S3fb1Pce4IDJTtX//hHXLq6gcPXS+HGdQZcdpLqNj0TKkq5PGPbZ/n8U5dZe2eetXYEHQbWy0ZsERtqa5tVT5g7FQ2akQiKVUUonaOzXAJTFyZVipxFxuxXM3bcg3PPPj7x3FU2b9qRThzn5d/Z4Opfvc/s7ALf/+A/cucNN5uXVKR+cp0jtgIrlQIbJivsHeX8v95GbKZx1PKYnQMUN+tsPfoZfv7dHZ6ZucuBRwSuXJCRLjiwTp5g7p00Z78/xyfGg6iKNd5tZBHMHQr9u5kp2Fhrq1hfW0U3vgeLU00ulyOCQm6jwlbeTPX6HD6PglWrp1MUqS+K6HUiQqdDd283O2cTdAp6BNGIWl1C3VZxfj7P6KSHY8e72dyxoFSbbCymmb1doS2qcDotuHQW5FYDwWnhzJyVzHk3m/ldHH7hBH2+NndnNlEabXSFDl53k1qhg2fEiNiqkLySpTyT5bmHuinFErQkNdFig0rQSFsS0WtEzPU2ekEil0py4jMfYuZ8/9QvTnbqTTpNM719WrYKLfImO+1UHlHqIG2XmJ+ZY2u9Qp9fRZ/byJupHjpdYYTLq5iGeijXDIRWr/LYk7u5vtXi0vQ2Ztc46uks3f12ihtbKG5oaMq0B9Xki1VUOzn+/rVz+D9zL0vJWXqyASL+LioFBd+4l0xDjzHgYXWlSiVaYKc9RHfQSc+SzPKdHayhNr7HvbhFJ1vTVVavrWEuOwmvRZHeSnLs4SSCkKVZdlAztzGGobwVp3Ytj+rZAtpfMWAIr9PTWuZeo54JdR4x3M/OxhIuowajXiH2gwrFRo4+o4l339nmmNVNYiWPbaKP+x7pwddvhh47kmEVhz+ArGhxbtVZ+9k27Y02U+oGyZgXSWejWNxErMnUaw3osaBWGdg8+nE++NcOn1i+SfIr/4XgnjB7DvYz3u3A4/ZhczpIJbaZe79C8VqTyg/OcFARuLat5lZfiEArg9xSM2mIU9N3k9EMEzSL7G6rGBw7TtfkPhayOVSuJCMfc1PPZum2ZqmbOmxs2OgdDNDa1eBPPpomf+scjUIfez6lp/teFR//3Cy1w0/xkFlP74kRzt9N0v3Mw5z/Uo3i6g6T+wZRhYzsf2YXTnmT6iM2ivpjvCPW6O9tYHJZaMdq9Aw6GPv0Ua7OCexE3JzNKoTGeuhkihRyUYKH9pDGRNtno7/PQ6fSQdIK1Cog2ow4tFW8o21yFhVtdROfxUTxUga1aGH8qJPNPiO5lXnGXTVSWQ8GXZlJnwOLaS/bXz7Lf3hayx2xQaOmQ1eQ6XIYaRv0SFo9K2mZjiFHYfEm3/ppgF97psrrP8zzg7MOBjPfwvfwJD0GNQuxNqWOij4hQ82jwrj/IGqfns5Wlq2rOzh6FcoaNYaOEZOtTT2ahEIFQd2PWwJrs87hT/7ShzCE7vz45ODeADq7lVa8iKoNJlmDRqeiozPRqeU4tNeAzatlg24W9ftZrAf53DM+HMvzrMdqOK1auvQdto0KC2YHYredc1+9QGctzoOPDqJBx067gDkeJzIawp310tvdywHtAKdO3kKp+vGM7SZv6WZrNUfNqtBMVImlqmxvV7j32Qnu0/di2txkedtAvc+IwZ4kk5uhVlMQjRHsjjJaUYXdI5K8Ce3gBjW3SNnhxnSkTSeUxegOYA0HqQ1ESYduoTMksScbJG+NcPcyNFodPM0W8SttYhoV82tW3EYtTp2d/R9xYMlGcdw/zK7dETo1PW2pF4u/jcGoR5WrUxV1xFMBKrZ7WPZM0FG3qDQSdGucuFI5bm6X6Jsr4aCMQZ8lXi+xdiHN5b8y81jPChdidvyH6yxeWkIO2RDqWnKFPD37w0QFMy89G+SDr67w95dB3RjBmd6i9/D9ENQi+vvxekrY6nkqaRc/vtPmclGNYWQNu3SeQJ+Rt34hYnW4qSXBUZLoNTQYCr5JNpfnom8I25CX8CNzvDZ9gUspO1/4yH5ap76GbrdI+Ige9YSOU3/7HnTp+J1HtcS/F0X6IMettxf5g/92kK/d+RnK1Qr2sb34002a0TaJxRhpe51tbxFvv5qR/X7iuRxEvIwdH6WeyXP+nxd48otPce2V12iqGwidBvagjsGwC40kIAoijYJEU4kg396gFasw836c7oBMaY+DlVQSvbYKUj9ZtR6zqsKFpJmXZ5O8+p1TPPbifdhGtKi0G7QcZnSKGY9Kg9CJM96rRvZ4OXPqPD/58/dZqciceNjEL91XJ3DsSS7+ZJ6cw8OG5CG1muVwrxehrmbt/TUmXjhIrZZBNOspVOrIbQEVOj76nIfl5RzZtBljpYDB3uHgMx/798P5wY/fOClWNSTiVTTVGoE+M4KgodrqMOjRoGgrZEUNOq8BZdcBMmsi4fNrvJDIsfbdbdYLdg7fBwv2A+jaabJ5hfWMmYGwzG+efIC7S2oScxpWWxme/8QgznaO+TN5rMkK+08MEjXKWPRRypU6yRkTmmKTewdMSDtlZHUARdfNhLFAfjrHZllPc2gvMUsNnXKLiU4ad92IequM01WmuW2k1+Pg/UszRH75Hpa9dgZDFoYDRSoNH4NGK23MxCJaasEtkpkaxkUdkWoPDqeRaruEe32TtNpEzbjDaH2Djw0X2ZBrZGQD9h4bCY1M++YaZm2VTYueuM/E1vRV7HYJSWzTLmvYMQ0ws2UjLRe5N7DFUbeTfr8L51E9BkXLtlGP1lIgdXed27lnqGemoXmetyoW/If9+Ix2wn1a6vEdFGMV2dXD0MZ5SqduMd9znAPP9nN8soJcLnP2Zw0c0xkUuUJH7SCOAYPgwqGtodHOcjWXp1EdwS57mZoa5drNGPpJHYoYJGvuZVraQRppQbCD9so2ez4S41vvFOGZ4/zquds807yKV9lC7rPx6g+LrL/9Mn/0p/dy5OYOf/36d3jhK1/izI9OUrdNo3lhD/V3llmb0/CEzkr+0jYk9Nz/R0EWrq7RyHjZI1iQ3j7LYrHD3Lktts80mDKFOTYU4Ky2QbjfhJDbIbNdJrlUY3F1C9XdAnPXOrxxtQxLBQ49GCIiOIjevY7apcEhKlgsbTKbMqfO34VqmWp/L5Hv/g2PfOkPiH7zdao7ZbC3ydQNFFdamLQiYtWAsF0kqwwwbRhg7HeepusLn+e9N3OUv/kmhkk9p+fWMQgu1DordXMP3pVb2Kxw40ISc0QgpJORmmqsug4HHtxFMdpA1Wkye7uFXjvFMbcRKSuy5+Mfovj+wfunTxpqTaw+LRWTSDyfQz8RwNOlZyexzVphG72+ibaoQXcry2Os8Miknn99O09LN8w9X3yYPUKCVVsvpbU4hnSR7NghrD0Kyj//jLwmgOe4zLWLiySLEs/e241/S0Vmu81PshZaYofnj4YwTowhir2ok3ly4WHyh3xk22YGJYXsepwZW5amY4uDu67w8IN9pGQ37Vg38p0iDXc/GZ2VVUFLsbrKPUds6JtuWpdkpO0OmloH304cJSIh+VWoFzpk3g7yoPURVq5MoR4IEh4ooSTyLNkEcjkDBW0JRehC2ecnW1LQbpeo5jQE/CoaFegMlXjm8Q1emDLz9tIGlqKVoaqAuXabqYfe5vlHzjHl1FBIufHc0TGzUKHmWaepL9Lu6kX7QYFd+RZTlhoZZ463qn5qTz3A8h0j0bkKsZKO29MJ9BURf6nK7WuLRLei5GxGAvce4sy6Bb1OzeBDvRicu8jms9R1Nux6I8HHT7Dn4Ah7p4apr6Uob7XZfK1O3dUi0Gfk0t9cYu7yNVxmmX2Bu6BLsM/iQn++xg+ujCFon+S39v4ln/v5OwjP389cTOHL1/bzwsNmMj44Znfh1+/n8599nS9+dhcvdUkMffNPOHTBSeZHW/zKM4OsFetkV5tcbazw6ceDvPZnGiy7fORVF7EONglOhQkH9/FQNIPh6jTn5Cy9Jh+jM1cRx4NsDh8hGPTRbdahMnURGgjxwFEVA+YqyZ0mC00L8XEfpYydULrBRCNNIVDhAWcYnynEcLrM/ug0ulvnUQ03KVjsSMoefBsN6o0GwV6Rcq5OrS3QaVnYpZZ44O4rdF1/nehahpb/MFeEDIEhNz0mN7rMHVzNKu+9U6NuVvPQkxYaMyUyVQMdm5lYOcLa1Sju7iI35mKUsSGrfNxqa8j7zTx+4p5/P5wX3n/jZFOvpSwJzGzpsLnshHuM3Hh7hYq+gX9XDZ+jQt3oRjYKzOfSJFGhDzk48V+7Wd6a5833Esyn2/jkVRz5ONF2nb6SHvNiFaM3QGfUjn63loyzi/x0k/2VJCm1wrZJQq4lqWY7vPvd97Dk4gQcMYJ7u8hvrOKqzCMYShjHTGiNZRwGNfuGxvjqS2/x+qmrDHSbmDroYG02jsvVwO1RoxG1aOoKa4Umhv4OFa2CbbjOfV05ev1Jli/oCMoCLa1AYMRNeatC/GyJD368w9ypEl17+nk2u41bvYBPNcB2u0RO8aENh7AH9MgaLfouKz83eTGE3uZW9SZ/9mdG9gW6CE9WcB8boO+xB9jaKHP5Yh3d6yscbBixuTpMp6P88F2ZRkmNMehHCHkpxCWatQwDVjVNBHa2BK69MccTH93LnokCwYiWjCjRd28XvntO8OxDv4b13A6HPSqi7RgXrxv54a0q2dIGrkIMlcqAR7XKv/7pf+MP/v4VdDfifOL+bqZeMJCzKszNmRhMNfmH69/gzBd/ym/3TnJO9TT5CwrDR3ZxR1XHtsfCOU+REyd0eGZO01VMMP7EHsSBWb444cSfL/GZ38nw5VeeJxv5Db5zdYQf/s93ePWb21gPT9GKxinro/zjJTPf+/YR3F87zbfPFfnMF7RIwlVKNjuZbQHfSoF+ZwLtLi2Z0SxBg4/opsK3Z6ycnq5z5l/Oka1p6Opz0lBv88Fama2knm6Xjo980smOr5vzIy/hi2goXlxHco6QfmODkFtPvGkiqW+hs1dIKKsUjCJNncD47jHyRYFbP93hoO8qH/m1Xl4thKmaJeSSmgJhdJY+3I+4aBhz7Pz3VQacQSb8GY7rshgcCpm7JbQ9dmSNlpJcRJ8wYVAGKayWCA5Xcd4fYfRICK+ngEubxKRpct99j/z74fz5j356UlHUaIQqOjX07/GiVUoUiy1EvZr37i4QGPfQTsuoVXqsVj3f/9ECYcmPNaRQXsmgNls59nQDm2seu5xjOL5F39sxjH4D5t0jLBUqtFQS0dU4lZQPjRJBXcowNmxBCrspLWapOppM3rnNVHWH1RtqqvUqHo+BZBsUNs0j2QAAIABJREFUg4piqUjAqOP83y2yfGuZbyde5Pv/cgaxJGLpSDhcOhp6GypBg9lpRuuA7UIH9XCE1/QP8M2/2aC5lqeljHL9jgarxckThzuImgU0fjeagRCmdglRXudPvqPiVDTNYmwJa9iFOeBD0OpRS37SCQNiPc3tOyr0Zg8zqRPMv2vnYxNrpAvbvHW+yn/5/CV+9tX3uXXFwdP39aM4Muh71DTbRZz3HeGTL/Zy/0cMrK6kcHjLjIyYCPnreO1q/uA/PU1JiGEWS1gtUWqzUSyTTzK5b4SIBJMlF9qfpWlaklw3rRA6vIunHu1neK8fwSEhTwU583YFn6PKYa+Tzz7eh7KtI65ycSmfR56cIvL4EV65epZ/+dTvs/Cdy9wY6MIrz5ErrMJRgd7wCM+FioSEMrf/5Sza3gkmqzFuVto4onr+w9wi63/6c/Z+r8ar/3mTd44+wcnvrtMKPcVjj7e5VW5wvnkIu32F//FkCuffXeKnhWM4j+gxmGIsbLjwul3Uig2a3RpevtUk7EmyrlKz6ZjEuMfPF383xGef6ybcbcNUzpFLbDH2dD+jrg77+qyIxgivfHeNq3+7xot/dJTMwhzNpp/Q0ASNjoZwM41O1yC+pKOs1bE036Zbd4fZb6UZ/39e4vuza+wf3MK/1cCwrrDisOKsiWQ1TvJilpKthr2rzEDJQmbZS6hTRnv9Fke/cB92h5V2UCaVk8imU3iN3bSw0Mg3KA1p2BYLFDsFsss7VHItaOh5+JEPUUK4fW36pMPuw25Wc6BbQCNlOfeTm+iCEUS3B8f4EDq/m4vf3UDraKN1WKnOFzj0QITYSpRcw4TktTOmf5OZKxdZHxqlU/WRz0m4XniQskHH9rU6QaWHZw4ZkP/p51y4vYoyCCuZKsPjI3T1uklMDrDmfIT4WpagS6bmU4gpKmptCVNbTavQxLPnEO/PuHjqMT8P3tvgUrSXirMfnb5Kvtykg0h1Y5NOXcV6QcLcY0ad2MKjM3H34hztbImp/+uXWFuwMrfk5fatbTKaGrqQGudYmPDxAXpDcSaHfbz40mGmaiI4bASNdSSdgVIqgX0gQPc49Br0GNUC9UI3o196kdS1a+y9kySz1cVwv5NP/MowT/3mwwjeClcTDZqaChOxMrX3Msy/PM2p91bQJYvsMuuIZ83s2Hdxd6nD6a/+EFGW/k8mZLHOlHMvi79YQXNtFXMpz6lv5Tk5nUUrdzA6Opw9I5HdytLwCjx6REMsLaOKtek/6cR8/F5ev6bj/dctdGwS3sd6aN5dZP61q/Scv8QPE4ssPmLFO+jCU88jjA+wplXx0MZjOM/u0P7GNdbqTl78/ADf/exltM9/itfSeaSHHkHSHmet9x5e/Yu/QEjAP136ZUYcHYT/zdl5/9ldkPn+ffr5nt7rlDO9z6T3hCSEkNBCLyK6yILK6l7Xtq6uGL1XveuuXkWsCIoNBKRDSEhIL6QnkymZembOzJzee78/7F+w/BHv1+t5Xs/z+bzHLmFSO2hSaXnUMcZQaYKf/VzKmUonMskC96xqZeSSlEIoy0xQi2NVHz7xAOfOZNl+fx2HW0u/LUj8wjjnzpVJ+upoMxEkSjU6iwFDJEQkCqfPFBEUVZoWx8kNX+X2TwxgvTqHJbNAiDRZWYGK0o2ioqehaKE314h18w4OvDaOIrDIGvcoCmc3C8fDTF26gnBbG4K6Ti6dJKqOklAKVBYlqMVm/GU7vqiASp6j2mVgIpLlclyEL1Vg9e42arMF5maWaNzSTkGSxSYKIEjr2O1GimE58jRsv+VjNCGcefvVvbGJIJp8gsRijlJzGukaLdqePvLeUbwLGURqHaqJKG0yCaJpJZG5MrYeK6WYAqM9g0Qson0mQ1blJOFchSwtJi9T4tzmxOdLszASJvHKAWq1FO4bPdxx4EkevO8ByoujvP/rcziLVSIfjbP+hmXoWmXMm5rQCQVqS1mK4Qp1kQSNXslcycaxjwyMT1zmwmkv1o7NeEdCWE11ZNNh3MEUAWGATLCGWCGilJMTOj/BSulVHn6iHWe3jgtzUpzREJahfi4LUnRrtVga5RgHllNZuM4r89c4ZGik2r1Ec98KxlXNtEiylLJRqskstkyZQycXES3I6PlED7f0TnHqVxeZeeoIitEs7wcM9OzRo9Sq8OXSaKxZ+rfU2b5Cwf1PGvD6T9GjNdL34GaU9SLpZhtT1QpJeQ5rh4Y57FS1epo6etEHGsjNKHHJS1TMFQ4cLXLVWGH5lz6DamWGwMgVLFtFhLzXkMTzhC/W+eVTPtr1SWwmPVfO59Fs3ohtjwP1hhodCj0fnimx7PEKu++YJ+SQYOorsm+hjbtzw6zdamBd/wN0dJ/lhY0/RB2f4n+/ezv6D2y89LcsUuudPKyd4MPXfKxK7MPWNUBjYZS3jhQw67LsO78Sf6yGJJWkKJWxcyCPLqZj1zt6Vv3gsyz5r3L+jSv03rkVVHkMqSAtlQCK9ht4/iUZPepLLF5OEjh1naWgHrFZRzWbxeQxE1gwUgiBulqgUC4yaW7DPiCn6+Eb+fEzBTyGOB2FWa4H9XgzKfpWOyhGssiMWbIa0Igj/Pnci2z7wu2ce+nP/HR3jomKm66ojv4N/QxHRVSoI/GnSZfyEC5jtrXRsdpBqUPCwmKY5Y3zWJrb+dsHRq6X2/C0mrAuSAkPV1Gu7ELhgPkDZ9i+TEM5IGfmSBStVI4mG2HTHQ/8z+E88N77exVyOeVEhsW3/IyNeal0yzkzVWOxIsVdEzCpslhDSyjMKsQ1MWtuNKAS1Pz6Py4xoFBgbYWFMTFVaQt6arSrxaR8JtIzWrRSFankArFpgf/81ffJrH+SzT9R8v2bfsoLQ3qi7f1EnDFQKZkZGSU57aWaiaNt0+PZ4UGkkpKVGhCdu4YqFkLfK2ByVNlyXzvzRyeYPHwNx65VKN027BYl3ogauRT08jIhfStNn3uI94Um3vjrCMGlOi01EVUhRTY4g8qQRCcvMO3NEZkeI7E/Rt4mQt+8HJPUwqHPH2LY7ycRBNPWZsSqRRRqA0tFGRTqDE/MMZ2Sskvu5ruFEnL9al4NF4hFc4iKdeweM9OJCBmTiFv7jcz1/BP2PdvItTuQGEaYK6WR7epDUhEwK1WoqmHq0gQtvZu4dYeb3Y1WbtuUY7wk40ypjrbdztadYkzB6whuNRaZgf5SCptEis1po1yVorI2sP2TUKsEkOXPMzMZo685Tac+QuxyFt+1OuHSmwxN+Th561eYuu6n0d5A48HjxAOnqP3817zy2Blu3vdrHvrWy/z7M152ffmXjD/+PLbbNtL86h/Y89SdeLZsIu7M4HD3sLT/BKFrtzDdsZJmc5xTZ0M07XgYk3otD33yu9yDhPI9OjavrhP3x0jlVNiEKmqrncy5cYrRKrMiPfbKNAmTgL7RhsYsQitXEChWKKfLKOVVbMU0xliEtnCCal2HW1VDr4NL6QBDkgRyShyNOGl+sI/wlSTB8ynEXQ7C2XkMhhr3/ftWRN1f55mvDjPffD/Oig3jvqukbQ4iukaanFqymSzr+zuQBeMEZ2OYqyJWrDcQSZ9m+XYzh09r+cVfJWy9tYtNywoETvrQmvXoTGryM7M0G8XoGg1c+iBCPCvD7XChkMjZ8HHkuUcPf7A3L5NS1GjpGPCg7XUxYTazJHbT1gg9GS8GXZhsZBF5t41kSItUW2FgyE3DbJpCpoi1U87sawGkIoGr6SCRsoa1yTBN5RqxpSUmclI23vA1Vm/vZfngd0iVYe/i/2Xo5EEuLs9xuE2EqKcDp0FgcEUT/iNB4ucCTEQmEZdnqHf24JJJEatNaOQFpCbIO0z45uKsW29nPGAgMO2nxRUEWZlqQYwQyrPgU3P0LS8L9SWs3SN0eEJYi2akCTFiUZ16rYDQ7CafrlLQRpAJjaRdJepLCerlAqIxJds+50CsGsFjNSEfaOSlxX52dBrp1kUYuWwkZelDeq7C6mIZxSYX5juhsTmHSVPGaNdSrkSppH20dth58bdhVm4votXV6NgOhXIJvzdNk9TG5Y8WkYfyeNM6jp+VMfP2HL4/H+TiwjD7tB14/QXWbulm1739tMUWuByD2GwOkazGWFXBaXM762VectE6vR1F8ukY9rVNdKrLpHxSrr42xsSMmEcf3cDkK1e559ZG3vvqBE+3w215NZKSh2dPJ1n/6CYe/+ojvD7Xw7bVj3LkyBmOVEb5aGyWU+Nv0OsY5zd/PsDS6YOYnj+Dc2gHsnse5EdfH6PDrMNmi9L18A5sN93Dw72/JMwZPvXluxmzSKjmwnR0lxGUdUYvTyLVFGhxmrg2m8c60MOnbi0hahZIXE5jdVpRpmvUq2nsKg2iZIpwKImqXEAqtZOoOKhmqjTKx+nui6MqJ1GYrdhUZvLDs2Smi9xy+wZG9p+hqd9OOilj/MBZvvblY9DThXvldtSj47SqikzoYkQUVWLTc7TYDJz/cAy7UYSjQ0Xgl2+x0bOEuTJDVdnEX16M07Sqlc9vl1IeP8PSbAWt3sx8IIux6qdBK0FeUnHoaIrVe3oRFBIiGdhx88c4pZx/7cW9rdICkogACxVEMi3piBpZWom9LsVdiZILz4NaQO9sI5Ny0djhIZGIoZcUqev1RE0GbK55tF1itC4N1XyZ+25WUlmKsDZfIy+3o5lax/iBIMLCIf5w2yvcO+DkyOUc560eVKoMjrkc6bMi0iUJ5UgcyyYdmhtSmFuKpGIapCkTC6EKoTA0egRygh6VREdDtUQlFKS5u0JFk2REZWc4rKTFZaMUXWJ9d4Utexbo7lqikAshT9oI5gWsXQKthirFkIChUKZDraVQdrHB5aC9KqKW0zOwwcL2jgt0rRKz7+cXaB9o4Z1nFljTLqajWSAVh95Sga75CXxuFX88l6BajmGxWpDLquALo01kmZ6Joe5VsugtM6d2UDl5kitLfqZjRvKhKJ1dVhIuFfrRMPETcSQLMmpqJ+J+Ew2PhVCsd7HKIaXXvY7Hf3SQ//fnFwn6jKjEndxyZ4q337mIuFNGa7FAVi/FffMy5JEai/N1KuuHKBWylHwlHGYzqmvjiE80sUW8kul5ER0n36AgzTOyeTs/1HyCv634Mr+7/69EnvsTX/7mXfz+yB/wid/g8k238UhPkOX+RbZs1HPLrZ/kM/92B9989BWS0Tk+/e0OqmNFXv3xMZbmewgd8xJf9DJ0Yyt7fteMIpUn8PY01Qk/je42qmIjhegS1aKUKAbu2GXnV0+9R9YhYGluoZwJYZSXyFWKaHIF4kURXRuMxCsQbdjEawULKUOGFvFlnAolv36uRFbeRFtuhs5kCX1rP9mUiurJk3S55KTTBlJXZTy2tYVv/KAD099eo3n6I4JSNUtuLT3tSnwjYQSrGpGnHZ/WSFlaIBk3MXkowc5H97D/5TnOXw1y0zdupp5aIjQSxthhJmtOENWLkBtr1JI5pobjBMtaGnotiEtJ6uUKW2/6GE0IR/e9tHeleJHqUoVCOoHQIKdoqGCX5ykGFohlJOSA+GwKtBpGZ6SETs/S0CNnfvYKJbEEWWsLhoXzhEQJhKUaBpHAomWIM9dLOEsyJvNyIs2XqDW/zUR7O54vbaT9oSydPypx0WKmzSqlr6mBkctFjG0d9OkLmGRy5nJqgmdSWAataCppxFYVLYMaoktzVEohIhdS+KIVsuhYvtnFxJFRZMuX4xZqzM1bEOfLSDRaymkl1YtiZHkVopwUUxLS/gDu5S1c9YPdWaCpx8XwZT/1bBxROE1hMYdVY2Tm5AU+ccsDPPKoGms6xs27XCTyOaLnFhlYVSMeGCHsFlBtUVJtyKN2Vhmuh5jPSjGanBRqdUoaNaVYlfaICkfCj1Uhp2w1Un8zwoM7GljKJAhIzGgm6jyxvMiuB7tpsMaZm05SFEu59uxprv/sVYRRH5v/fYjHv3kv8WKM0ek0/duv0rLxOqqEl6aW7RQWMty6UkFopMK5l8/T4bQwv6gk4bfQ3lHhzHun2faPt3LyXI7Gn92JbjiN3LGDv+RNpOd1RM5O8rWHtTz30rdZUc4w2P4Av/jRH3j1zT7uWnMrtUgPPR+O8tMf/J3fHD/Dxju6eODzN/Gzn1znvSMnWPdYGxuG2mh6503uCZ7EszOJxFakHihSEfeiF4wszkeoC1n6+nWIjilwpCPoxUrSvTK0+jL1cAlRQsTcSA53kwmdUYlIriZ0tIBeWsBQT6FsEciKXYwdvcjUsB/69Kzb48LVKGPmrI7T+l5yY35WbAPNRjH7ZBnqTjVFRZap0XmqlSqNPVVikgQJt0A4OI95eRMnT44zJE3i2Wzg4us5snue59PtBurjIQ4f9dH6yG0oxUXKkwuU9ApKgoRQKk05U6OariKIFYSyYvr6dNT0EhaTSSI5gTs/jnb+3Nj1vZWxLI0KI6V6mYhZIFwtotHWENUqpIJlTG2NCAor3sUUu253US5lURikVPIy3ny3SJtbgz39EfNJDY64klxRgaXBQ7YuI5dLMdysoNzdhvXDF8lckhN2qHh2z9uMlPSIZZvZtr6RVluemFRAFk/Roq2hjuVoG9jKxPkS8kKZVChKQWujXM1RKhfI2sSo5VIKmhKeRjM+qZjSQhFjtwvrxSXmomU2bJNzdQnSlwKYUzXEhk4iUSnZqByJsoaqU+DESITrR0bJLGSJFKHZWKNotKJX1Bk/fIp9fxfzlVdn0esf47GHExizJWYrdhwr7MSnziESiozNDjE9uogw2EQ0F6NJfJGWIRO5eQGDQoXdouatn1yko1NPqL2CT5TD0FuifCrHuxf0tCkzLNfI+O3f2pAY1hEKzuHdP46zTUxaXcD0STcNN3UiaC2k5HoOLaY5/n6JLY1VDJWDdNy2jF8cmSQ9o6QWDiMqz6LOREmX1Gy6eYBnn43T0tmIdCHHtgEB/a0PED/zV14/v0jMe4FX/DOIm6L8Yq+DX+5OU+0/zWdueoqnfvkXjn9xJ189/D6TGS/DTxzlH986xp+nI9zx4CMYHtzAups7+M13j3H+7GH++U/bufOBdj56J49JmiKwwcGlzgaC3jxCXEE6rUCll5DJ50nEcyTmI+wRyqxMj3Ky0EplYwGbECA5kadndy/GxCzR0RIJvY2+f2gj+8JJ7hkQUdR7OP5OGPkbv+cLN5W44+fb2XrzdnxzlwhdOs2MppGWR1ZR1sIffnuYofUSagNVpJYismKUVFhOXtNEciZCg8FOJVODkpmiXIklHyZ38ATLtko4Oarle5/YxbrX9/KjfX/HvaYTz0oDuXE/ymqCnE5KoVzlgi/CwLZmZPkIs2ER5q4SdmWInH+Gal1HTaLl9p07/udw/vWPR/f+5k+jZDJWrJ1y4pUyIq0GraxCLV/HWI4wL1GRFhpY8ibQOMuMpEyILJ0MeMSkjvqx9aygTZggHlJQrFoYm0pi0ktYuh6mmMuh22hEtGeQwfo0sUMnaV7vINjmwLCrny/8axPhsREmFsPMWm2MzatoXi1jZLJG8qKUyx+mWdbTTYtFjjIjxjufR2R2UBEXEJJ1GjxO1L4iiVoZm1zBxNw8G29sIi+KsroxjK0mplsbx27P4VcIhINy3A1iyjoRGUWYvtVavrAzjtU7TEtPB9WSQCItorqQxrHWwF2fvZnWTwyQdaxi4VfPMnO+RibrIiZLoery0N09xH07tnPLrU1ozRpeP+XDd/g4N9wjY+TdPKJ8jXU3tPPqHwMsW99NuJqgw7BIUSuhvbWR/lUelsujDHVc5ZnDIiwWOcr1Ev56bIplX9nCjq11SsWr/Ne3L9GxaiMr1w6y1qHm938w4nBHaLs4RrQuYBGMLE3LUHf1EZMLzATdFIoSDixoUcrnublXxMjLXmanzvLSoRDFPLQ9MUBqcZKv/Gg3TWk/c8+/wcsvPcO+/zqH/lYzX9/8BcxaNe13vczcK5dp33gf3zz3Ml/8/N28d/wqVz86w7nfXeato1E2//Ze7uwJ89S/vcapd2PMtuo4WXHQ3WMjPQ2R+SLt/TZKqfn/7vFVKGgaHEQ8VUN3/hLS5m7CZhEZb5qFwwFi1hbcQ20Ep8voVFVu2CWhHlJy5qKcqayO9kqBH/+ggeatO3ntUILv3P0nRq9KaXHouBxTko3Oc9eX1/GfrwRRWBLo7RXKkixSkQxNXYy7XiMbCuGpZ9F78gQQE9KJEP7hIX5/JsypVIoXn/8TZ3sfID57kBnnJlSPDHHh6CLtQxpiEqhHK9SSBZJxLYONVjInr6Np1lOwVInnqmSUSkyudlQWFdtXbf6fwxk+99beTd0OZG4NgVIRb6ZCqaRClq4g5Mu4NUUKKQlisYjMdJrWNS3oGluZuBrjxpstSJJRro+nOS1S0b9Wj3/ShzQb4Ftfj9M3MMfmFQv89q0Mh6td/MNtNn7z9EVS9V6apFnaJUrqc0uU5zI051QERwKsaBEwtCi4MmOmEiix+tYBEjKBk4EKtXIOmzxBoSpDHhWopWo0tdvxnk0gMknRxrIIyTotN7ZST81SKpUpLhbJ1sVUDDqk5RgWiZRixYJEVSXuTfPWvji9Q42oLEYuzovQG6w0rHNx5XII+5YiwckgV07N4R69xBN3yLntsVUMx4rsalOQP1Tm6e9NM/73OB8dOcrhN8VUVRtZtaSgv2ktU28kyQdLdO4Z4sMPknz6n8wcOZ9AksnTlCxT0csZPTGKcOhVtt7tY9tTD5HdP4bVrOCSocxgn5oz7/yOYVELqpa1uA7Nc/i3XuanJJx55RqN6jLbpDWe+U6RyIKZbRtayFoHWAivZHmuSFevhxlfmbvXLxGYDjBvcNP95IMM/csnuemJ1Xz/wW/QtdrKgWSJmeMhOu7v47xQxf5QF72S5UzOiPj35w6w7Z+/yn8+oqPFOszBNy7w04d/h7Gcond5A8t6dPzmhfWMHpzn+sMHiMw5WX/vam78Pz3ILl8idHYJT08XCauANDlPfCaJtKShmqtTR4xfp0WyspNAWkA04ETldrO9zc7YSJylUIFWUYTTxxc564OirEg6kEaht7Jskwr/bJonf57j7TfSNHYa2Lmnm2ythkaho1CVk7FaCY5K6UiXEEdFNGn8VPMSFsZr5AN+9Ls3MjodohA6S0RaAZ2G+Rkpt+79F+69Zw9TUy9w3j9HdKiPwi0dnFus0iCt0tKYJp5dIreYRHCZ0Oh0KOZmCAdySBt1yPrcLIVFiBRGlMEsymyeG7Z/jCeED196c++mjWL6brOzmE+AQYfcO0uPNsaRswnERiV9D/y3zs3s7CYcT6IThxFkBfzXZ5ANWmnZouZIQMdKs4TctQDGbieHznh5/rVJlOIC4bMGVG1GGrtDzKo0NHqWIzcriC5kae+NkM/lkedCiBMRula5SSXFPP4v/dg9YcKzCxxfkCA0deJOTNEpwKgP/IUymWtZWjoNeEpVlgJpcqo+xG1S1DoxhUuLzFdV1JfKzOeVHPPq8cROUBQrCWlsKOxKKKmx3H0H77xQwGquENRsojAn5f2nDrL/aIT2dQ562mQ4a51sKMmQXSnw4g/O09Nbwjs6QVoZYMvGDrK2Mp5PdrLkz+H9aJF+4Qh9JT/+ofX8cTjMss1r8WcMPHRLHVmsgFrRiiJkIiPT8nZtGXVbkuz+RZI9Up77+wLXnWbyG/swjZ3iWnKCdy+7sH75B0RejGLf6CGrj/Gt75Sp1w/yhw8SNH7rX9j9tftoF11HaFZy+pWXeHDrKbpWNXHszThlX5ygrYWEa4hjVxcZ+eefceIH3+bzPVvoDtVJX7zAo09aOSldh+akh2/2GTh8WoXPGsHjUbP1O58m88cM4vc+YDI4TNUiYs29t5GW2FGffhtX4Roz9TCex++i9tAuhHSc9LyfFpuBYCiNgSoiTR1NWY3d7iAvEpCJJfgujpMxtyNudTH67iy3P/V19v9pGZPvBbAa5OikH7JYSVBdtgyFyYpBnkFpqSB1SBER53SpgWhnIw89oMTdrMFoTVMPQiRbxyitEV3wM9gjxr1MwlzUQMJXZ2h5OzWLFktLG5eGw3hzairrJVhaZHg8rbz2/ePIx6usmNiH74vPYPvULpJji2hjMdRCjZLRgVZ+jsz1ACq3nJrMhlVnIHNtDplIhL3XQZNITvJSlJUeLSl/jpLIwo6bPobI6PSHh/YuTET5y39c4OT7IZIiJ+7SJP2NSZRuOxfP5Vi9bTXFlASld4Z+iwi9sUJ2HoYDUqJ1CbMnL9Pdp2GgNce3/vd+2izdnLd0s36dwG0/vItkoJPc6BlW2RLUBDnVWJmEPkVVomDVRgXlShOVwSGadnYQzmT5zneTRC/l2WKd4OLLb7Djf7Xz7c+vxNLRxpivSjmXo2G9GuRdvPv+BIqsjLbNTtTpKSpiP4VwDasvjrpBijwZxNmqw3dVRqs0Q9llI6s2YigXMAZkaCp1hANnGMxdQBuOoF5lY/UdDWx6ooWGjjR+71Hk/R2MH4tjUchR6k04OlNci4FzmRqlrIakosN0ystdAwbuu93B2htc+A7P07fBTXqpQN7VSGH6NFaDQEWRJaNv4OyBSZwtaiab2mm1aGjqcZGSPETP5hZOvnwcS2snDcOn2f4VOeKmHrRt1wgeeYk1dwvMPR3lkcEM6+4dZNkt/8SaGx10feMsB3/6Kr//aQt95kXWiV08+fg59o0eZUG4H0f7choWA3xO+hYbmuP0FJLcdF+UxbYBjoZiPLBcyotnmgh8L0Dtuaf57ukrfPrrD9Eql/J/X4fLL6SYHn6PttYhnDcZyMcUCB/MMuioknIruL5ax3BISiGtpSOYp3S9gFTfweCmfvSyeZTpJVRWKVG1g7F4mQZznES5hqOqYt2a1egbPfz6p6/y4YsBrFUwrtTTssZPDhPRWJJWeQpFJYWolEKk1BHKiMmYm1imL+ORRYmdkJGZS1OrqCm3KVDrk6jbfkWAAAAgAElEQVRqBUz5JNl0jZBrBeVwls5ShKReYOLYZVTmKJ4mNRqdlf0/9KOezvGJF3Yw+9o1Rn7zZ+7/roafv1ai1eFAUGvpaK8RCOvIegOo0y7EZgMJn5JSpsT50SzG1R109buZPbFEvlhFXIRiVU+lImfn7q3/czj3vf3m3kpJRtLVg3hgGdNJEStWatHaUpyfz1Gbg9n9S2gNZlw7mhmrwC9+cQZ9QUbXgAebwYFN5UKZCLPrsTX438rAtTiOZcuQTyWYm0qSC1Ux1QPUk3ryZQH5eIa4WIrIX8Q9pGfsdAV7LYY6HeXJe3Lc/dW7+cvP3qJzi5yqqYpUJuHS3gDD/+lD6QvTFhmjmE2z+o5bWfmpNi69HeacL09dUmO+GkMQ62kzrqcQhJUeI/LBZlILJUIKJQW9llqDGHnsOg2VLEWxiYg2xQ09JkwVH4u1AsXJHJmyCHMxQauuRC6pQFVpYuKdUYxOD6k1aqZVMuYvRBEpXAw06JC+Po3N6OSHH9Txtq/jZ7+dI7Q0S7NFxzl/kjUDQYJRC8uXVXj1L14e/sfPMfvufpKTYVrzB3nvyip++hVYOn6EHneABkMzlrSawvkKr3/lA5xnT/KEKYEnPYkn4ObUqUVefmWW+SMRnnl8P4arz2IslGjRhVAVfXzw/gUU+gI/+uWTfObftqOuXENyaj97qmdofmQNi6t3IytJ2f3ZOabc7Wzv8nD2V0HCgdfYI87xh8gu3vmegTPyPq796jAPm408/M2dWNdAqSeCUixiaF0PM7ZGXvTKSaoyyBal1HwphkIJ9KYCkZklMGhpX2Nn6ug0Umoo8xpKlQriQhSNLEMlWGb6VBbfWJ60OMn377Wx+4YEPc0JRJV5rlwuktfqMbsU5NQKUmIDIqMZtVmFw1xj8e2TfHQ0iDSYQdwSp7G1RkovolgoQ72IXW9kcipBMpbDLVlk8pXL9D90B0qpA3FVglCoYhdVoL0dt8OEPjVBLRxlwwYJi+q12GwtaGxazGIxYdQkJ9UUojMYewYYD0UQBQsIOoGwXE9jtxZHPof/egiNXoJEXKOuEVDIcmy78WOMte99cHBvpCRnoF+OWZlj42Cdal3B+HwFb1TK2m1dyCoKBGmdC1M+5iVS2tYOsWa5k5ykRC6SpFiVsjQXxHl7A06HgfNjYtIrtuMvL1J3SbHlJ6nXpER7NyNtrKFPCoTrEFvwsXKNG33FzczpWaRlI4FfneLC+RBb9uxhcTLA9MFRDKUMCoedej3ISk+FUr3ElN/JO3+6xB2NMyzbLMXYYUboV7GYCDN7KcPSn3OUnFpSjQ7OhxYoTM5j1MJyp4zazCSdrS5isTxaPcgVDiQKOdXiEkVxHZWymWq0Tj6UI5etUArnqaVL+BNL2LcqCccTDDRZyI/VicwUaLYbiWdkxKIpSv5zGNUzzJ3+iEfvsDHUbuDExVkyo2lqaRuf0Gs59PZVDr8Qon7lEMvX9hMz51GaXQw+sYa1y5ppKufQB/Rcny8QLnZz3/cf4bPfWkksmeXi1Ca06TrmwQHW9DYhicpoLOf50rIVtO/eyOo7bkGdsHPvY6u44elNHB4J8rt//jtJqZOycwXvmG9gNtfOO88d5GvPj6P8xh28+r1mKoeW6NOd5+l9/0rHt+4kh5mHv/E2y5/+F577mpJ9/+e3SLduoJSYJJvIkaxKKWcMvHdcjqRhGepEBrdShVqmJJwqI25SIm6ycnFmkmNhJ3WdBbGsjE5XI19K49IZSBUsJAom6go9jZYcg/d5yBqWGE2NkkrKiC8USaQ15MUSpAoFVpUN3+kMNZECwaKikgljceopWy00dbewYaMBuxkmvGlM5kHigSQ2pUAul2NwtRqDLc6QS8fbr/lJTY+R9wc48ZcLGPRqBgdaiL3mZeFVL+ZuO36PgQNpO+ZYhIpcQFmvErkeximPEbLZWCxXEQQlDmUJo7JERSXCqKtRm0ySVSsoywUClRwmTQm7JsOqjXd9jMjY+8f2NsTSOJIptNIkbfI4C4fCjHvrWJvAKqoyWKngtjipd9WxqwJcOjyK2Gqmd7WDq69eRmeRohJXqY2kUeYyNK90Ejo1Qnu7Gok3SqXqIJCRopbGaValOf9yklJRhq3XQngyjkFVp1rvIW6xEJxQkZs/glNZ51gpw/aOOms0MYa9YpzmPHPZKKH2PqxbmpmXnKUuDzP+URy514BCluVf77Hwmfu6OXI2wci1KZbbxTS4irT0lZj0pcip5WgkeYr1GrmagE4uoV72EjWWwalBFCtitntICx6il3PIZSqyPi1zCwlWrLDhv2MIRHHy589SXr0CV0VBTR5D2SVCPajHatKz5kEln/y6k1VDIHvfT97hItLWx7qHe3nse/uI1Wt0dOa4bZ0KpXYz0h4LRV+Z5JVz7NzUyduvnCKWqHHDSil3fruNF0/IOXmuSiK3DDR6vMOL5E+dI5hUsyiZRNju5ugNbVy3FJitFpjQODkmtvLs2yGyGhcb7lqGOnmc63kDWamRgQPX2bmrysWKmpvWOfAcG2EpWUP5hW/wv46J+c7dvyBiasQ92sRfnlti181i5o6+x2CfiYVsiGDOi7nVysX9VVKhLOs22AlVU6iVIhT5JWqlCgWrCXEtgr7NyuT5PB61leD7Aiu0AmfP1KhU1BjEEkoKMY3WAEp1mutXIyTScgIyESVphLIiSw4Fgkrg/OEMN24WUNdLXD2RZtMeF6GiCH+6RIM8iscTp32di3qxxhuHi6R9RYRoHHm9jqpsxrRY4chzI8QVUfJLMj79sJo1PfPoPnUHVU8D/iOnOfKul3QWvDiw9VpQNRpQKyRY6nKiU1HEQp7ZFHg+1YBs4Sp6Y5E4RmJ5JRmFHoO7Sm4pikIeRVzME0nnaNVKaPGo6Bj8GNWYF//86t6sL0TaoCBrNuCdhJC3hsUNq7fmaFBmUJSkLIaLzAgVLJoq5q5Wrh2YR29I4BzUMC9TMNCup+zNcezZcb7y3DJ+/dVnuXA4xOPHbZydDmKSyMmPxlEKJoyD7ZRK88xE0rgKEpaSaVRLUtxtBnxRBy5zFHMmhfzeT9OUV+IdzvH0hJ2Hf7qRV3/yLkFXDwqThlKzHYNxOZlcCZPpW/z1xz7GXklRLeUZ/PFqLL16Ft+5wrVT82z+8oPs3LGR1HCN2GKFBq2B2mQWiUFJqVqmLFOQGitjcXaSXwhjE0vZsqGLu27XcfjXp6mYXQiyEiKJnfq5GUQ+MU6XkqZ8nLNHxqDTzYp2BW0hMTVBxDMH4Y8v61m2YyvHMzU0Qp1IKIJLk2PXjRo8n9oOKjn6NTbeenGYrlbY/+J73LZKSgktgwMdhJIirr97ij+98HtykgUWXt7PQEcDnQMbqFxP8fxMgv4bHSitMnKxFM01JaGzfrp6Akz5r2Nq0rCiT4IgKuJTFFlodNE+egzNW28wcOcQhbCJPDqq6gb2z0iYr7pI/fBpjMJpGo9XeKTLgGEiRKYgw3JDAyfeH6OroZXgwXmU7i4CaTeta1WQmEZUSlPTSciLYoib7CwtVFHFwiiX/NxtFTOkEXj3D6fpX21l/X1tFKQS8kIETbZAoVwlkxZjUAl0WiSIKzE0thp1vQLVYgW1Qk3okoQt7WlaW6ScOQkNRlAXY1jjIWS1MuKyk99+v8gvfzgFJYFNOyqsWiWBSAS3XkGuGmbjPb1sur2H7O5WlO0Krh6+xqH4Fs4uWLHNXEPTPMc9z/Wx7hMmYr4Q89N1jFoYmS6gb1KRXeEmJugZvi7GMZMFWRnBYEGcLdJrk9HoETFyJU+iIMZuMiJvamDhQgS3Rk/fpls+RmTsg8N7DYoyRaWKQM7IYkRB3xoL6+5U4lMoiF2TEhjLUyjXCDjFZCUSKi1dNMUDJJfGMN3czIKQwedTMTaj4eBhFSZDnRU/6uDZH7+PcPcqcvaVaJMJbm6zcfaKFE2jlOL4Ndas6aQmNhNOychciDO4TMshbRvjrhw1eZnZiJFzr18BcR3dlm1s7tfj/dscm25oJROPUmuXsZCoEvctkjpYo71PicJlZGJ+nDPxGlMfhrHJbSh27uCFF71cfu8CqYU8Xe06PvPgSkQTcyzalSSyKhpcncRGskSTFaQteiYunSBw+DVii9dI+5R86idr6LWOMfvaJeozdepyLacWfcj1Asu3evC+P4JsLoDdF6TZlOfND+oc2x9g0323YNHA7nVFglE/D2xIEZm4RC3bzJHXY1SXIgg6PUMPNNL+jZvZbo4hfeM0ItNKTiei3LbVhbR/A098cRcd2ghp1WpeH3fxxc84WDVUY9UtZoZPTGJuzFEJBlmYL9B4z3re9kowG8TMj0/Qd+c6/l5v5Oy4na0uHf/00D0cHbMQz2rJGisYOsNMZMpsureEfOYtdjxyM60t3RSPJGg0xbFuMBKPzGEt1Wg3RymFwDcvoW6vIlL/t+ckXcwir0tIJRPE8xIYm8azpgl193ryz3+AZhG2fu5WLr8wwszbhwksaDlTbWAp0khF6oB4Fr2qCuEccq2YgFyKw6Rm6mQC2jv46KKMuO8jtt2j4tBlGRPVtYhKAezFMEF9Nx/NW1mSOln10Co6VulpbUuzFJSTzkvRFsoslMVM5Y34Jkr4rpa4cibPRwttiMsaDKU6DeWrbL/TQMYiYSGqInQtj1SjRZQu0DHoJOlNMXx1ApdMSR05vcvs+JURysEghVAeiT9IUhARN1oYXojT5pGxEKwRHi2h1JvZsutjhK0/mrq4dylfQqyqIJdkUbk0CJ0K0okgZ98IUY9KEHU7yTTLkfSVMahluKw6zFKBAipGEjIEb43JgJNczM6sv8Tx4Uk27l3P+k/t5MevzJFNyGgrzhAN2dBo63Q91ILgMRN/M0zdrkWsUUOznorbytTFCzSaMrSgJT0Sw2CqohyyU1JYEb25j9SJi2y6cxk1i5GZfVmEsRpuazNmcZ3WzQJqfQqzPUbDijY63DXSoTS1HhcS/yJ7NqpYDGaoTFe5/Lez+OqQWrcca8mERixl9NIi9p5GSlIxotYxnF+Sc3jbSvL3/pGfff3PnPjJDFv+/XPEnX0INjE9T96C3WXn/JV5AioV4qFNpNVObrxTT1eDAatOQNEpYv9/vUZPws/1WQ1XSxV6VnsY94vQl1UoetWY3WU+d+8pPjjhZOrvx7l/ZZlT9ToLihq9NzRw5bUJwtI4ZmmAQmkaVxZalOOoE36uX1cyOmFFstxOJC1mFAvSJh2FYR8be1wcfHGELf0uxt4r48bNno4QcxfGOPjSGQrVKgprGdeQQCZWICPX0CAzceCIgKN9J/Y2Hb9+6Sjdj7RxIaMnmdKwot2HpJwlXXNTatEwN5vEYtHgthXJVmaQakToNTL0ZR2hggpF0wCxap0Db/k5e+Y4D+xR8cR/dbL/ryNMzdXQz5ZZ35BDYyqR12nJSBXURRJKZdBmq1w5VUGscOHWF/GszKFQq6nllPgTdoqaEsawj+mCBnExQ7N+hrahOsT9nDoyz1hAxTXtGq4slMiaawQzMQyFFLqYDE3rIEO9Fjy+o/QoptHb3VSyLgIXVRBzIGhqFBMlapkK+myKokxKe6udbEJEv0uGUpakli6RzkspVY0YWgykkgqqZRmu7grWlhILCTkGuQ2jSsqWnTf+z+Gs1E/s9U7PoZLKUJZFVGolpPNVUicDtNdt6GxF8h4jMk8FWa+U2EKVUwf81MQGUtSQa9SIbAqasjM01dPc8EAeR7OT8LUqzQkru7XLyT1/ktV2PTVTE57kAs/96QQSk56laQluQx5BokerVSB25vAefBvrahX1ipFpv5r7v9DNqTcv0GGuslEvQmgc5Lzcw9EPR6jN7mP3jiT9zQ0cXyiTHMgxfWkJZ1nOG78Ypc0hJXZthnKvG2Uujmw2DK1duFYaSW6yMNvm5ExcQv3CHBLvFDsfvon56QqZ+QDywRRlawGvX8ATXsXYs+/wn398iKRe4MihKZqbnez7xRnUyTzxSITwqn7sdz7Gh6+eRDKcJrgk58zfZilpKqx66kHsN7UzOavAm2nCVcoxnTCTd9gRh3Is3yhhQCjjXCHl/90vQihXMTZ14Xt3nNi5yzRsauSiBobaKhQD43Q293MimsTmVJOdS6GoGLlxSzvDi0Vmy07MhgUeumcdyUIGSaVGwVdEL5XTJKg4cGGcyfPXkO9SUl4pJ53U0OxyYc8InH06yUanji5FmPJsiY7dVV55JYa1vcTQp9byw8dP8kvDKD1drfzbs0HqmhrK1a0oqVCeTqOWG1CKjOhSRZR6AaMyA74ELmGBDY+spnHrciKRJUSxcZTZWXrb1IyefIveTJG6vYGarkBFUsYsLRDL14hFA9ywZw3z7+1j0+XXWd4fZFpsZ3hRwuRBL3u2CyRSetK5CnJ5kkZXEJu0wMjhFAF/EZnbSc7QgsNpZ9C+QJfHAAYH1bqKJsc8i/NXKCvFpEsGpuyNUCtiVy0xl65R1xpJoKDjwfVMfZRBIc5jrplIZ9LU+9uYTS6hy+UpyATszS7CqSSCTKDeHKX7/jCj/ktohUYKXinZQJrb7/8YO+fRv/1mr3N1O5e8VdIxOSplgcFcBlksjVYtJ6arUBSXkFuSnDhbxlJuIpBvoyp0sUJ5nlePzGN//EFWK2YJTxVZHAtjtCg5LZchmZukY/UcoeELFOrtNGm0NMquoE44cMid5KkhqO2MJqTEL+e4dPkMLomRtpXtXPllmPKUDFtBjbdmwt3dQGl8hOGSg9NqJ+v6yyhNc3z+P+7ijecjFOdL5Bph4XyB3bstfHBqhlu+sgwXGaq5GjGxEtOinkqmiVRUSSgax3d+DklRitXqIPfGIR67t4Mjhybo6rJz5aiIUHCIrmwZvX2BrEWFL5qFZAZJOkcylSWXl2NwqQkmxdSqKnKVJI6py8hmJnC5NTTc3E2wFOSDE2l86TouuwlX/jLrtT7m5pLIJFYqogWuXpejVTXxpS1qmk9+wLsT61EsX0El4CMnqnDnjz/NM89ewFQ009DgZpk1zfDPDlJ+4BYis7NUrGY0UZixtHN6pkqv9CJtNhPFtJ783Ay5Rg1Dt3m4/pvj2O8ZRLFWQVNrGo2ziwv7AzToaixb089Pn8uwoUdGkxBkOlclGAsh6fVQ/ugChh19pE9puWnyHS5IVNSf/CypmzZw6mgCZTgOV8cYr0mIFzIkpQJuZZ1kIoKps4mxa0mQFskY7UzmFEyp6pQdBuT6OJ1OFY0PL8O7AJG6CInVjlmUpBArI7G1ML2k4I+vXOIxeze9jb28Pt6EyCzgzk3Tt0LFnMSIsZxiw4YS9d4VTKQtWLVymu9tQ68qsEl+HgI+ikU5w6cjTF1NkfHHmLsWp5iWonR7ULR7mFqSISSTRFGh7XQhmvDiXmajbeeNmCVF4gERsnkZJk2Igl7Fgs+PWWGiNF/CIC+jVavQyLLMx8cJtASoi3JoFgukww68XviHRz8GnM/85Nd7VRYJQmMrcrkecbZC02ycqkjPkkRLRV+hmKkQSauw5TW0SZzs/sS9tGcUPLblHO9eOM7ZoAyHsUTL5g5GRq5RLiv4sLCD/KsH+cdHx/j0Fwe5/d9eoTIs8M0bHcy84yUctyPY/aQLZiryGI/domT8ynVI1WlqrFOKwpM/XMubz31A2qCkzVUllCkQV9qQCAKy6zOk7VrSMhfnfv8+63Z2M54M4rEJ7Nyl48glKeYGJb5gDCQCtVQW/XUJkrqSisRMSRdjR7cClVzKpHs5ZbmMui9FUaizYpmKVK1ATaqlVBWYjYsouxtJXEjSppFg82hwdarxOCGXL+Cs5InXG5g6eJaf/aSJk9UG3rskpe6/jG2lmjWtIlao6v+fs/dukuQw7zSfSlNZleW9a2+mp6fHG2BmgAEIQ5AASEKEaLRyJOXuVqeTLrQn3SlWIeFWq9iVYjdEhVa6WN2SWmopUTTigiABEgBBuMEMMDMYjO2e9ra6vDdZmVmZeX/oExAf4on3jXh/v/ehvmxy+yeXmXvpXXyxSd7+5hahj0aIH8mwbE+wXk0yvFZntRXhnu0idCzNq199j/ExD0cTMVpv7/HaZZUHf3GBr37ldWY/egQtb9DypEgG/LSiCd59foUnH9OQI2P0ygKv/WQDK+DjyINzXPl+iclYF9fmCshlxGCW3XUBd7HM47/xFP/1v+zzwGid1rBHYxggMKLyzs02/Vt7PPgb/5oXXvJwttwh597ms995l9s/yjE3n+RAaItHnkpy/6M289M9omkLWiKDWADDI7HdazM6FWFzeYtisY0en6Sox9CNNmd/aYHlukJAiFPRVMpVHbPbIjaZI79cYnYuwmOf/Szv3yxx+XaL8MlxUucTKDUH0RniURPou2U++dn7+PHzFa5/V8Nv6WxvdDhsDzjU2iMcTjII+jF1nVO/dJ6T941y/CMKyiE/UyGdO69tcGJcIhDuEo4JFIs9ttb3mP7sJK/9YI3qd4qUgkF2k8fpK1U8vRZB1z6byzoLj09Q2u9iqwotl4U9H6CZm6C7FWeq4acvxvFNJHn2Ix8ihPDqjXee2yvolO9WCLodgoJEz9JoyRZaFjTVIRjxYitBDp05zO0ftxnZ71L54StkXF9h6rlJ9uLH6L+poDaL+LM+OkOJzKTA2AG47LUZnX2Y4//b7/CPv/V3fOHyJWJPHGZNGcM7blEzooyM5znWv8LXl+Kkf/ff4BSamC4QGzb7i3eYfSLD0GlQ1SxcB1JYjo9uvsi4UEN5e4f7sjlEd4e9iMN6ucvL/7zK1KEUOc8a3geO0to3KC/XyY1M4Wheyk2Dgb6OvGsR8EeRsm5mM0HevvUW/vkA16+sE4xnSYbcWLYOHZ3mvSrjcohYwKBeqbH21haFQpPdosjMQOBEzI/wnVc5PVFiNxJj7nwEsZenr6Ypaj7MqpvpC0HGxgNsvefiM3/2q9jjQTb2a7xfGKFvjzCXXyY8yJAv2vTbBs3hDlOjMZyujmV4yC+u8qpxP0f+1SnWbyqIcgx1KGOYbbRcm3KpQdnVo63qBLP73NttkVZUJkQvaVmnZfopD4YkQ11UbwjlrSHJ0QvcudFgN7/JqRMG06ECtX6AUEyh0+py8tPHufP9ZVLuMN6JOBuv/Jif+w8W8XwdOdLhwLTOxGiUlVWd8pUeO7cajEfd2MMArnafiCoQzQZZvLaD6Zg8eG6ErNjA110mG2xSuWnx1l8vc//PTtHLbzA22kG0NBxtSHZ6mp2VKklhnzMPxDG9bkKygWB20f1BesMBnkiPniQysAwW79ZIhW0e/niclaUW/oFESJSIHBtj670dMkM3MV+a6z8pUVuDwdDB3u0ihtJMj0yxs2lQ0FXUgERsYYzy9j7KywbjyQjabJh6zkZyBoTK62QzUDXcTCyMs/zqHpJXRXR5cJZBXAkQzScIdAToW3hSPp68/9GfHs6LhRefix300cv32X7RYcpUEHJhmofdCBEdQwrQL+l4GmU+9fkRag2dd252cZ0VqR2I8sf30uxVJ3kwq9Fo7hD2+EiLbo45bQatUb77zSj3Lt7GNQghnjpF2Vfm0lGB9d0wiWIbBiKhI1W0fJXnGx9DPf8pfvTb/5Ev/NsjLF01uLLzBr//h+e5/UIR524T7eg8N9faKM4rZA4cYPFGjsUdP/5+h9BIl5lZh9jIWSguM2kVmTl0kLe+soyWUlHuC/LarQ6HZnp84oEUr721xL3FKp13byO/fYeZ6Rj9tkxRHkXe7xKROlSKFj45gtttIxZKqHadY6fixDwDplIK2XSc9Fkffo+IdusmTx6q463keWOxQX5XwZDT7N2tE/HatMoD3vzjFsNqjOKam9GnQnjyK1S6LnYXBSbiNfTxNtlggejeDVxPHmP79ihPKzLtpslWv8anfz5MuPEB49EQ771cxZtK0zCaSEETo17l7LhCa69HzpNksOoQ7Q6IpFwIYge90URpDLDUUa5Kp/jDYp9v/dWr5FyT5HM5kv4yCDW2Gh7sqJfpjJcj7m1at6rccQ7x8H0eln/yD7Q+HsH6fIbVtQLdDYeX/+4eXUelEphhrx0gLPsJJVO08TAwTQr5Ic2WRWJ+HKPRIV+SmfPIHOjoXHo7Qi6SRXxgBGd7m2JDJzMeo3N3iaHgp9YRCCVVhlaXgdfCxMAbUai0RBrNHuMUyUgVdoQY6bEguy++y9EvHmM3kmXu/X0MV5x1LU7leoG42sEf82LF/VSXdjh9Ns7SZQM5orC70sYvNjFGJilZZTSnx3K7xsNugUNHXeSNfexggW5DYSTSJz4uUS/rCIKPxR8PkGWBeMyPElcxzDr+iA4pE7Nl4D0o8Pj8hyhbv7P6/efqrRZPfPI0zTsrKPf2KCltumN13PcW8a5qxAwLf8rD9/+hjhNRCB+2MY+7Wd26jOfgRxgdCuxuXWJwUECLxLD1AD/4SQ2vqjJ9VkAq1sjdyHNuzIZ5g3c7E0Rfj3H4nQLbd/dZuG+Eu4M5VrwJpiObBN5+gQt/9DlefK6Mu3CVn/m9+/jyn7/JuQsZ3tInuPhmnv/0n2ewlxxKhQ5P/u452u1rCO0KluFwcWmEp6e8nBiBRX2ab//1TZ65zySwcYuNfozO1QGR7TWUCwcJfWqekyfaHDnqpt/fI5b0I8S6oGv4JuKUSh36uy2M4IC5uMBACfLK3w/4+YVp0vUa//5Pv8ajjx3CyOusuo7x+ms1Ro8tsBM+jOOT6esCJz4ag8kBk3ubJC+2+Dd/dpKvX7xLW97kcc8yc48c5qW/WSU3MkQxXQQjPhqXbjH+mfO88D2NU7zCU79c5bV1nZYt4Gn0KL9RobzvITAaIjKWxB520Ut9mnaIQNPmjKShtvsQDFJXIN6qIKgO+xsRJq0+keUBR//pr/GzzG/9uwyXFAFlWKFV2MJQYUISqe9oFDdKJOaSdM8eY7PyDpWQwM54lImDGXqmm9TYAqd+9n14wfwAACAASURBVBRHz6qMHrLIjlq89fY2jf0ughbBcdn4Im7cvi5y2MdMSMDwpiiZSfLrHm7ea6PJPZxJETcDrNEYHVcIUZIIxUPcWmrTztcQtS7DQJitskXMb9IaBhn6E4TCAVyKj729IdlMhA9eXOb9XTcB3cPJnaswn2Ol28EvtNBcCvWOD9+kw8b7Gxz/2Anu5h1GsibpXgUcgaKUIBw1mZqf5srrA46JXSqyiO5qMzIaZOPigH5/QCal0F2qIJgRXGqCUFjC6A0QOtuopkwgq4A3xOLrZcam3Xzk2IfQzr+x+MZzl765wfxCjhvf24OiTCjnJ+RbJXUwTDp1mEIvS1EYZWdFxhUNMzP3L/Wu29/a4ZNPPMNZVaOWvooc2WK/aSBUu3zstJ/jU2H8ETeq6eCZmOGda1CrxVjorfB4sMzJ33uUN5fuUH6lQHj0Exz8xDkmBnvsvPICn/8/PsLtr/+QXzyX5MQvPMALdxTcYYs3z/4cSdPkmRPvs3+xinB5hfO/EeX773cx09N4hASmkiO7s8j3ftKnnZng9dd2eexhN8fPBJhJlBGvt6nudSnKfj7YafP3PzS58JFHad1Yodn6CHtSlmnVpucfpbdf4cjJGV682MYljSKcnafWO84nXvgGqeEq1fEHubUd4pvfKMIzj7Gy16NQa1LVHVLHJnjklMLkfQovvLhK8D0YrPZxT7lYnp3F9gwwdruc/Owpqr02V3f2SYx0EcZVKnt5DMvHkjSFkX+Zo+er1NWD6Ftt3MEknsOHGWgtWoU6naZNq9bG403RqsnMx+K4droktTqBpI1V2Ue0QtSdCHJeYCF+kdblqxw9f4r2oVEiv3eExaGf+qDCaLiOY3hpVuOknn0WZT7ES6+uY/3CU3QKbzJ7QGHmYIjRoZeGEERux7CbOoX1JrWVAkoyxKOfPYndGLBb8VHW+kj+OlOpPrtWDKemUa6ZyF4/3ZhC9kiYY6dUwiGTD64VCA5BckG1r1AdWpx7fAolBJ19HSki4ol50Kp1ukQIGQEebq1TL3vJtwZ0CiV+/SmBeGefSKHP/qsXOfyz9zM4mMM/KDKQbUQFMtMq771Yxz6gMj1lIhXvEDB1hrEE715qIaXceHQbw61yLFxFzGbpSnE8YpAb360QDWdQ/G5iPj+3Nwxi41FOjvYZkdpIrhCFsp+KXkWNuNkvaFQKFX7uk7/008N5ZfeV56yqTNhtEz2f5Wa+xKCuIVpRxJOn2CoE2Mh7qesZkiEXk1IVZVjC6Lk5/CsXGMn2Wb5UwjX+FP6Ltwiu1/C7knTKbhbXutz/uUd490e36IRDOHqdeDRJPD5N4UqVa4tFznzxAvfJHp77x//JS998i4cbDR7+s7PUvvw85zevcOEzCl/5YZW1qEhuxo9W3ERYXuKxqTD3LobpD0Rqsot8cJyWpJKUh/gqfRaGJsuv7KBOxRh//DCXyja9TpMLZ8OIVoCKYxLIiSxMKvzg9VP84HKbv3gkzwF3lvqlPq7CgGZ1ixMzLTq+CBvffosv/2qfmaTAH/zhHqFmnruHj7H5syeoF9YYvX+GgyfDxONtPIk2qWiZF//yPb7xtQJ3V9eo5euMxeNY81O84wTJuwJ49SrJfBcnJLKohlhfG5JRvBjbQ+RMgGFA4qrHwz2Xj76dpSjniIZ8VGtDNFvGcimkwzYLTxwgNZniyg8rZI0jnN4ccDIZwFaLlIQQ/Z5AIqhT263SdQfhsRBX2ipfb83ydtbDm7cqzE2F6ewbuIYCnnSCrhbDEC2u/9Nd0pMBZv1F0u0f01pqsXjFS+e9IYrhMO7AoLCPEJbw+k3aVQ3V1GluSIwEJsmmfCwcVunc26NPECkro9KisZFnKDsIGAxdFm4nRDCSRS80sYwBXo+FaokUb3eIh/3EzS6yE8QXUUEUOfmzD/KLU30mvv0Tbt/WqJ45w74QQ1a6hLMiSjrC3abMujak3hhg7Ms48Ri+uIq2tYknHcSKtZnQbtG5d4Plxhj9I8fIeAdIloN7xWDCtKgLECSAsdNl490aqs9F+NAIHc3EJcooXpnRSB+jqLO5NeRGXsXGIZ5WEPxuglGFRNzNE+ee/enh/PvV//qcLy3TrIHYtxkdDWMnDlO73uR8tsO9G5sk7CZxUyZSqZKIOywNZYZRhSwC65sWMf88r63N0htRqG52iWZT2G/ss1IucvChw9x7vsis18UB/wo1R0dIiCR+OUizXWV5vcipmQR18SRpdYHe2otsf/MWrzTnuW/mDJFmmZfuHGFwcIRw3U2stMeUWWf+7Ajf+a6fkYfnaLfqOC4HcatONJ0iv7zDZE7lk1+8wMbVfabul3hraRk5K7O0DmZbopUbIXNsSL/W5chvPs0jIYPPC/+D66/+hP90Y42j6fuY9Vs8+yWHF3UXZ2fjhN74Nnv7bbKfPkD0d86xGM6wdfESH73gxpZl6N7Dm7Iwg5scPuSwMJvigY+fYmSywahPRKu5kOMexME+E0aZYUdj9FyK9zoy7QemWb2+xdk5i93beQ7dn2Yodgm3uxw4kGH7toVP0EhIRUIZB+toGFEd4LT3sSoGG2ttJqX3+OtfzTJ25TU6a3e5rnR4/aLFtY0+UU3CCqUpbjnIsQrxaBelXiE8raLLAuZeDb0TZ2+YIiKH8Gx1iPhlFi82GBmPEalukavuMm948MUO8PHP5JA8OdZM0AND/EmNSkBlYixG450q63kf6UKd+z74Hsf9RTrTB7m920aI+OiWQdNkHMMgISlYDRnhpou1FzYouytYiT571Q5G3qZbtjAGFmFZwxeIEPEMyUVCdG7t8srvX+H/vbPPnX6Wt8MaZ57N0fXqdLQI9xp+el6BnhbCXtcZDef48V2dRkdjNDlgaIZw5CEaLmonT1OXpihfL7KQdXNntcJISCTu67PTS7PxQRW30UL0eDA1AyXtwe8eYJVLxAJD1vphlktRZEsmOB0kHhmi2Qamy0dtd4Cc9vHUmQ8R33tt5a+ek5xdGlqKwZZNOJCiohzl+g8v8lCpyvkD46wXAvhzPoLpAbGUF1n1MjQ1EJsMHJ3BbpdTMxeInPCz/zcXOT0/TshbI3NhyOt/9yaqlCFtNZEiEqpm4OuLbLsTjB6c5eJLdQzauL44zfL/+gzJpyeJnGhz0zuN5ZqhWvGyXc4y9uksqlHhcKhF67aLgjGOzzYINPaJjoTwBqP4FBe7d4o01pdY+3GTarWFEYuRurDA5htlxsIBbKIE/ALE3UQyXUrrdczaNtXLG/SeUTn0Rx/H9dBJvvMXL/Pfl1+lZY1wJftp3st+GiMYwEkkkajhmdI5lGwi75XZrQls7ztEZyWGksV+UqK/alBbtKkJMVyBNv6hw0O/cJpCKstoGDzVderZJOv6kPW6wGMXgqy/W+JuLUShKhDJeXG7NSRFJpEKkDuawelabKbyjD3ppnLSg2utQGd7HZMc4Qtn+VhG4ruf/XOW1u/xfk2h9MT9HDjrx+tr0mhr1GeSJBUBK+9mcM8ie3SKXCpDICxDQ8BX9RPTHcIMafWr2ILJ01+ax6zuc+WagzAzSfzhR3kl/DQraxKtr71M2eoSVEXsjMTKmo01UDg1nWPkvmO09gd4Xv0Ow4sblJ54hG42iXd8hOm5BJLtxR0RkNoGPcOL0lE4e9ZFJWkROa4ycXKShRPzZCfSmIJKr+chZXYpXLzH5SWZ7Vsd9lSdhT94mJrcYfbpKHvPv4hLdYjYMaxhk/n7x/GP+CktbqJqu0zOZYioCvHZcVY2LcIO5Jt+enWHg+koxc0m4yfcpLM+9t8rsvdelyEaM2MBgjEFb6eNu1lmctKHXu1hGgOm57MYthdzO8+Eq4AUGGBofSy/iOGI2Ost4gGBxx7+EHfOL7/27nMpVUDqRsiOzFIvKKzUPYwkRNSNGuNL4JIzVLwRakqQ+moFY2cDJWTTG+iYfhNDt9lfXOXRLxyga4fJGyYz6QanHjmEOyAgJB7k7ntl6mtbhOcSSN4x3mlKeNZqUK0ycWKWQr/KS98sc+OdLebOqHzxt6bw6dMsf22DV/ffoP3gDO5mGUVUqbw/oBFXmMu4OOA0qeGntbjB0GyRSes0tB1yD5+g4bdoDbwoC9NUtw3G0m5M3cSt9JAEHyjQD3VxRiWsZIbX93r8aO8mTdtkc13gd//z51CPjXDp+Qa9H9/EKdcp7u3iUlvsbRgsv7PHyNRRBtEJZE8Al15FzHjYqA8QBhAN5Nhti5QGJnUnwK3v5XnpNYXDuRClG/cIJ3v0zkRZXZPp53V0Pcjm3QaPnB1Hs3oMFZm24WflnRqKzyYacdFMVLFDdexgmt6bJTyWzcPPfIn/+FWJb/5jlxVfm+HPDCnpO2wrKhNHvGTneygj0xjs0mtatMJTBCbD7K9qNAw3DbOG5IRJFEwm2w2q7SKznzvBrR+tcu9bPRZkLxMLk4ydCPPin13lO7dTSGk3D/nvkr0Qom3HudVo4Ou40F+8SnHHw5YRZBCbxKvGSJ+a4Io7zAd5D/fu1BHLdWxbp98DV1MmFvPjcrlInRWpRX3E509gdhQCdZPiW3dotGymlzdJ+kSaUpwVO0HqqSnk8yJKaJ/+3j5Hnx0jPZQITUXx6QkqxQ5DZchGPc/k8VHEyWk6fQctv4UUjFKq6ATCNkSTNFZaNK5rHD+T4fYH60wuREiMeYhaOtHDWdYLQwLHDuJL+FH3q2SCJmvrNcbPJ5GzYZZe3iNcXycRajEIOHQMEP0OktfBbhmUPJN85rGHf3o4v/K3V5/L9twM9m1KmyLDPZMxT4/AhM3GTprEyi65XoV2uMvtloY7KTCRMumKbmpBG5x9Ij6b+sYUL369zs17PnyhDjc3dK73XBT0HKVgkMgDQeafVvF62uzuCzz4iQk825sUdvcxgiLJ0SanD61zcr5LeaPJpW+s887bHZ54doG/+eYCWniFzsUygZ6ELDpoMwnEnU3ad2rslhy84yrDZomWKRCbmiB31EvZrRM+5GNxvYe5skfOY6CGDfYsG8OSKCsymqTRH/ZRCDK412c0GCcTcBHKhjh4WqZcb5CJC5yfahGYkFATMdzpNAGPgprzg2JSa3ZIh0z8xRbmbIRB3WQgdOju+UlkU0QVnWRHR2jpnPhomqDXxhBMfBRQZ8YYlv0spEJorQBx2cepeYuxmM7QtBgqPkZzKtbeHn6hSzvhQsp5UfsB5NfcfKbaYaKX4If/0+DpXzvA1EdDlEbHmb9wCqGrUVosYLS7aI0QmtVjMgIuy0ZuNzl2n4+pAwnUho295eHkgSzx6JCNpExeb3BuOsHoS3c4b2/jocV6qc5UROYL94ukqNNZz9IvZZHuaESycZ58eJZY2SI+Psr2UpG8YSDPR7m7WmJvKDB9Okda6uHV23hVjQACQmWAv1MFu4WRVhkMFG68bHL5y3cQlpc4GrOY9LiI9btsVIaIhzL0KnvInipqcBt/bwNfWqJV8KJXBfpFHVxu8FrosRCDlBfHhmJVwt0scSojsFURCQSHOFKXcFDA6w4SHfNjmhWMxgBzEGbjlSEfHc2wWO2z2e0yDMTQOzrNvEVTFDASUVq2jNOHwU6D0cNR/JN+JFnCl/Dj9rlxxwQkR0UzVD790Q8RQrj++nef80kmvqkA0TELXWxjCh0EU6CruCnurRMZVyiNHyJ21OJ0wkuvvEvFs0MqWaArW7SqKkarw4EjbX7l/5wnv1RAibURDwS5/U6Fxx84yFF5i+W338dwe6i277Gh97le9jL11EGsWBShY2GVNwmXi9R8WabkCQ5mZ3j1hStg9UgvX+JnPn8/Tuk61Y0rTPxmBE80Rv5uj+FIDP9RlV6vgzURp9WLMzOfoXizwkhgSEtzER9PkUj5WNmrcnhBRnQcNJ8bl8+D2zHp1BwOHsogmiadRgtV9CAjsb/Zwoy0CY5s40pruFoCQl+gWxpQ362CL0DD58EVAF+vgxQNwXYLqaYhu8IMwga1jgujFWVyRiV2zE9ppUy7VeIT51Ns9SO0Xq4itAsMSzYDM0LLSeH29rlzs4YgKaiSROToDLLiIl7qosXHmYmP0fiHZb70yYP8xZ8ssbqlMRsv0W6t48t46RoKjugnHnNwohKaMorPlom1FEbGBQYdk8BEACUSZGQhxM7rBfJrq7T0LbZ8JrkTaRBCCIs6F8a6KF6Ll/sWF744R2Vjia7RZywQ4Pyol9bqOp0kHKxeZOvSIvLcAbyHXJzK7hP3euhWBnikDqlEn/rWHrTWcSa9HJwJk3C76HgTWGkf6y9epWnLzB1O89CoxYnHshSkMaYjXSyPzZvNBAN/kI3L66jzIuKMyYHhDtW6CFIWt0chMOzQLjY5+ysJOoKOaZlYt6vEZIXOrsax82n2BjKqp48oDYlW66QNAcmtUM536bvCJCeS9JoCwdQYb357mWPHoni9MqnAkGxG5P2ul2piDL9Tx+1YxCSYnIojjyeplQ3KK3VKu9BsDkjmVIJ2i0c+8iHW2lfyK89VWnWMboVmr4Vv3ESJe2CYYvJTWXLHRRZLa1TLdU6NLPDlP32ejX2Vo/9LFX/kOp5oglIxylywx/T5MHG1wf61W6zV1jhxME4wodJ8tcLZEwL6ZAgnLpJQe4x8bB6fHKV1tYHPtLFTHio/eoOPnjRRkqPYXZlepUEje4BL1xp8440VVp/+19yOTBPUbrK669BYFxj2PXhnMnjCfobVbU6HCsgj4yztDAgmcgwaQ8r9Lmfuy7L24iVCOZu5WZWlVYFa2EvYZZCvdNCqFqajInUtpg5PIbhUpHaPMboEPDb7mzaq7SHni5K/vYU6PcrJpw9TKt1lz72BnvPTVCJ420P6ho43l0NMxokbAvrQh5Ec5eJ/eRG3I6GO52A4ZHinxa0dgWLfxfS0xm/++hkKa7dIng0zfrTJBx/0efjxMEo1z73FDlUzwd31VRyvj8IP6rS+uszU73yKX/iLLhf+3WFUaQmrb6HKHs5+fIHRCZln7x+heq1BKBxEv7OPfK/BidMZDCnMnaUh116+S2LWzc5KDfeEG/+ZNP2yh25pyKV3hyzFM/THM1zRexR7sGMIjI2mOHXsOBsv79Ne79JIHqIWsREHm+ypPqqRDEooz8rdLZauttmruYil4ejpFP1KDUmr407FcZwIhesVdksOharFWWmA1XYjSjbmRpX3d3LcG04hZCzaIZnVrR6zRxOc+9gI1xdrmHIGUXfj9kTR9SHbawPSDx3l2tsrGP4+O0td2usgV4OMjE+gu/x0tnp0tTpWxyBx/gxSJE6jsoeelvHNZnn3rbsccbc45DcI6Ba3Nyscv9+Py29R67YI0KHfF/C2KiT0MgMbQkGVWt/LrVURawDjskg26EF0HJxgkHxf5plHP/bTw/m3X3nludyoxNhRUCMOdaFPGxVp4KUvhxBKfUp3Nnnjnct439ng0azD9OO7WPEdPPFpbryexBrOoA4t1qoBvv/lt8h8fIJH/u/H6PzoFlp5geXCQXxiA3ujQanp5cBCjmqjze6314mJs6xfAyF+mMlUAqndo3avwuWNEKLRZX4MTi1EePKr/8BfvpDjvT95hf/9t5O88Gaf+cg4h56Y5lo1wI9Wc8x53GiXbxB88AD7q3UUySLolWmFA4w/cITCm+/xwDmVPTPB/j2BkTE3rrSbzc0ac5KBFAthKzFuXymRv13E23Hh8QfxRUZot110N5uYgQyzczk2bjSplpuYqQqxBwTMto1ZAZdmUSpYRJNuzO1F5uZzLK47VF7f4pOfi+AZDbC62CWUjeGJegj9zP1kDwvowj7DXoDdwZBWKE5qXEOoGKRGbFIxN6bWQ/P6uZ4Nkc3c5aOVd5jOTPKW7WbH6HDfw37qm0WOPb7A/nqD5ZdXWN/c45//6B0+0H00IweYqNUobxhU9j2o1QFD1WbktIo/58JEpqtmedutkEv3KS8tMTcbwOvOs5zXEY55Of/MPDuuGJe/tc3717cJHPMyCC+xJoRZn5qm5Ih0dRFfUCCTaOBWt5k/nCB9aJSDB4MwmmKYSJJIeanXhzTXBbTNKgdSbpxYhjOxIhUTjGIPRQiysx3ACKfp79zjvqM5RnMyr/7TJaYfT7DZEvCNpvF0VUxDpdn1cGB+hMScl7aQpdHwEhGTOKER0P2Yt0scOpPFdjsUO0NGVT/X39zDNmRqrgFrBQ9FV4REfEB8Z4vcQoK779UIfGwKKSPRbHex7CGeroFc18jGVORkgE5bQR+CU9Hx6C6yooZLdtNoCkhDG9fQYW+1x2c/98xPD+d/+NL/85zR7eHz+aDvp18QiFlh/G0Jo6hjiw2mTgmMjk4glu8yP1WliMC1l5Lsa2dwegr+XALKRUaPjiLFolj7TTp3W1Re7eGtDwl63Yx68oimRbPdYmZuge7VHQ6cOcwvfvpxRmYCXHr+VQKPPcnGJvgaNZTDMXKJMMN2id6tCpeev41TLPBvf83Ls89kyBw+CtUy6xev4grGCBy5H9/qJl7PNh1fgMREiJLLomG42en52VkZMLR0ZrMeaoaXrfe6ZHMuNE8CjyEhN2TMTBip3yE75mMskyETS9DuO5QK4BYl4k6UQRsQHMTOkFa1zdxEnH0xhrXW4LBfwxFy7Pf9ZE9PMTHYp1PIc+6RsyTqO5RbXtJzEoVak2K5STojsbm5zrBbpuuOUegHeavWRaRF3NdEu12iipeWLuEeCASiIqMLJZT+LuOGxktbx/nWqsljpzXqbgM5nEFx6jhdP1srIgG3hT6bZfqPv8SNZp/+8j4Ljx4j1RmStKrUIipF28BotclXTTxdHyMnZA6PV7AFDcI5Hn5whGp5gC8jUb67gzLuZ+6YTNs3oOJROHwhQrveQmt1Ke12OSibSKU9ji+Mse8P0nPH6bd81Ja67O3qlPYGKC3ImjbzmSThTIp2U6ddq7Mw60I9NctrPyqBa4Rot8WpZB9ra4/e3TLMRdFUlTfe3Ob8QzMkxB7tjS0Gsp+h4cPcbBEf2qiKwHzGjbhYYaDZxHNh+ss1fF6NuRNJipvbHPAJKP0eqCIhWsyIOnq/RCDUQk4nKMTivHSlxkOfS1KoD5DcOoGYRi6kEsfCsR1sX5RBfYjjGCguC78niNUy6SIzdMmInSEiNgHVzaOf/BCWsdu3v/lc9nSI9xb9NO7ZJH0+XAkXrojFW7fzTH9kEqveRJqeInVwhGiiyfVrPeryLMrqVY5+cJkj96cpd/wMS6tkguCVBLqLm5higkOzfTwhF91eiXJRZ/7cGP2OwLVXdkk2i5yb1Dl65iN4Z/bZmHaTzreIX36bWHaeXqtMSy7hzyWx2Cc7GiDaqlL74TJ3r9qMpm2+dHIfT2EdoVZAqezw7K8fo5kaY+/9Lbp5jWgsSMLWiWhDhIqFfXfA9p0h8bEMM48o7F3fJzJ+ELElEiu2cAoDHNy0d0xO1DvUbJ1SeYMDT0d5a0VAblSYjDgkxmMQd1FdyfPWNY1jj45w4YDMN/50mVOf+DiReB/3uz/m1YAf3fIy+7iLS/uw3dSYjVlkQgNisSCDoEgjNESa22RkxiYgx5jrCUT2e+yuyHjCfnQ/VDJ+ajOHWX4rT+KFO3Re6GKMHCX40BxzUpNCzYUueEgO+lirG6QmkywcgNurVcp1jZ85o6BZBobkIaoPqNdqOOM+JmY9VJZ2iR3OYDU7RCdMWmt3Wdkb4jaT9NttKkOLydNRAqLJxu4G5d4WvaMpCv5NNnbXeXdTwS51uHDQw2MfPYLpD7G0WGdtpw3uCK5AkMZOi403d0mFush7Jntv1hDL0B72aPlTTIw7XLu0jSuRYekDjazm5+Skik+sQblAcOcuqt8iNHWUWkfgnL9K/u4WRnKKXkcm1/QSERwGukRpc5ekqNNbblOuupDiAVSjg2SsY47EGFQs+kUvBV2mO34fo2t3mWs0EHJestEE/X2L4aZBLKCwKw/xKaAaQ0ClvmfQ3mugHpjE43LhlCuYQ7ASWYo3KqS6VcYOKlTaDpoxwFYgMOHjgQsfYq29/vZrz52Im0Sifly6hF826TkCJXsPT8aHPDDRBynq2wq7oeOUnSiJ0Ti1hZNUDj3FP33Q4dVXSpz7whRasIHtiuCuq0iuIPbJCTarBpFOn+tVNyPZENLmFnv5Aoqsclse4/K2lxeM53nE1+f2//ci+qUh488coeF30QnUafeGzAZlRnt9hEGf0+9tEtoTGR47yDslib/8WpG71QHx7SpCKsrWUoCmY9OMual4PERUmVarTbOxRigmog5tYhMNpPQ2ipNnQdQIo5OYsXA5LfaHASyfB7th4dZ1WgORc0eKdN1x/vKOyiPP+hjqVZy9OqZPwu6JnIoMicgpvvrfCjxyboyPeXIsf/U1qE7imQsjNlUqlWWmf9nP3/yVi3xRYnQkQm1nhe1elPZEiGr2Bo0+rGS/gG4muXszz8ljNns7Ovb4NIeUCPqf/xjxv79K/eFfw/fHv0Eq3We0OmBQCePvGITsLp6QB3n8KE5yhJxf4NDpEL/9GycZ8XbY+mARpVikGEiy15OQcwlcFY3rmwl2ywPyA5H2Rg23mCPh9iEhUg+pHH40w871TS5etgnORUkfmKXqbHGONSQhwZHYYdK9NiMHM2zeq9N3mvjHZbpFDanUZzYRI9rR8clhpHCcXFXmxKPTvPJ+FyEOHkmkttdGd9l4PD2y4xWCH/fz40YD12SX7iMLbM2eIh/M8Q/fqdAbVfD+wRF8z/SwtjcYS9/HW3/yHe575hB7Uzab1Sq90TiHz4YRjApBr0LIPcS1qpH/m/d55NEEzdeKNLpd1L0m8RQ0Mgk6c3MUbtWx3VHciSSK38F2y9jlFlHHg9nzs50f4puLk9816LY7mApogVE6hkro9BS7/RoDR4epEEsrVTIxkbom88THP0Tw/fUfvP7caErGFN2Ylo0nAKbmwiP5kdsifd1PuRckGnaIBpcqigAAIABJREFUNwrEunV6nTCaIDGarDM5a7O+culfVHpNi6GtEvar7N3YIOVYTAaH3HyzRH3hPBs9AcWj0+8bxBNB3JKfzF6T0bqAvnic669EefBj02hykWHfw4jWYXTLohiZZPxYkuZak2gkzGarRt1rYjkVMkkf0Zk4jetN9som1qbDuTkBu1/AxGLmeBqrVyW+MMPchXnK+SZWpEtXcXGzNIHWSlDcHfLW9SqmO4TfDY4oMBK30AIuukEP1Mt093WaARmPmadnDlETQUzTwdIlVLeEV5DwWB7UUBC/1sbqBqiMTODXahzO2nh9o8S2mky1FBKCC2vhAK6MhFW3Ee+WGOp+Crdkjpwap3itRt/SOTnno13zMxmPUHhhlc6VO1zr98hvd4jpFSICtG0DQjahgwrxlEwi60OtVTnbX8R5ZxG7DTdvdnj+q1dJ5LzotkLd9CCLfk7PO9R6FmJIIXtAZuGYi7hoMzefZWWpAZVdivUKUSXAsCeSmRzDtqPs3TKJN/x0rs4ymX6W9dc7jLlbXLnZo+1PoQ11RjKgRF3sdwV6apROw8bd6bG2bJI4PoEwLpHvNFCTbiTVRWbCQy+qIBwMIqcN9h0XDU+Q6YNhemKQ5mqfpHeNh34+gDZT5r/1r3G1cZu4YyPfDBARLSR1QPKYRGG7SiAq0bmVJ+3zYFkuBqUaKzsantEQrXCcy6UhC08lyVwIICe8NFwS9VYXn8fGDlr0QkPMTofcMZnwiEr+RpeU3002nqIxaCMIDmLCjSXDdqCLkzFp2S1iEYV22ySRCWH3NGJxD6rbz4OPfgiR0avfeuE5r+pmaalPcbeFHHWwxCEeU0Gx+/jDCn5vn4hLwKXZ2I5NLxXGr/S4brnx5ML8X096uXlJZrC3xtFemf74CG49QGupy6mFBMtbDRR3DXHwAeFomfRoGqfnwqu4qdS30aJtts06BAQ8YgWf7SDtHiR0o8qk6uKbN/No9hguI4w8fh9vbG8Ryok0qm38yKjhHNZogH7IprI0AKsBjo12sUlxo8FrX69j7Q1oXauiiBrRYIOKk2GTBK5+l/pAYywhIe6UEXUBueci1Myjbw3ZdoXpjHiQhAJKCmQ5w27dhxjNMahpeAXo9DUM02EoquiaD4MWplAl5GwxFPyIkouWJmB2vExPjUOpQDrlxrWywbAk4ahRxrIeklIAKl3Kt/LE5CFKt8e9hsy997cwelsEz81hx8a5cD7AY0+m0RvQMyHoEdi626W1L1C/u0mq3aBermHdfz+77iC99xfJ5jwgeHHUJKYBj0z3cNo1WrqCag6xXRKlrT7dfJd4ZIRub4geS9JSVOJ1A7knsPl+B1dbY8Jn4jIEAhmZsbDBoLnB1HiEgE9EDUXYWncRcbtQNIGuFEavm6RzQSyXD5dhYAzaeOMdjh9LEPRFaJQNaobIoFOn4/LS3mxjKV5kTScYGVAudRAMi6irQq3TRnL7ud7d5VMzbg7GfZirSXxzQQaqH1PvI3YsmpZIRA0gDAV6PZHeUGbgMkgdzFIxFISYn+mZAegtlpbAqzt4h336PQdJFRHKJoqh4p4xEWSFzl6W6P4AK9/AlEp4FYtuX8fRPHRSJh2vhq6YZPo6gqJg9AZIigvbkDEGEo98mAdf3/+7rz031DXcMRFkG5dbRnDJiD2QZQ8hdYhP6zPULXounbZfoB4VsIwOoazAUaeKsbTN94yT3PdgGP9RD6uaykQujc8wyd/ewTkaJn3Iz/RxPzHBS6Ef4+KXexReXMWuDFE8CtPjfuIxN5XbNaRkiMb7JkJxh1jKpClpqBtXePgZmTvvvssgGWE06EH3WGAMCLgGZOfHmDoSIW0FkcbS9Osuxo/NYEQ02lcK6MtVZEMnFLHxqyalmspCJsi4y0buekhJ4BUi+NMOPmHAer5DWA4jNTpkIkMi8zFENYBX66NGROgO6LYlxMU1Gm+sMVTciD2HQMBPT/QxMG0CskW3b+O1DJyYD/tgjq4FpcUGLp+MYtpc6/hgfpJqs8f6P6/gvF7nieMpzoYdtFKL3LmnSfkUMqMHsD0Wc6EO8ZkQNgHamok94aW80cF7KEfPtpDUIpNPTrO5auCPjpKZmCMbgM7lDfYXq4T8SZpihqvXBdz6LvtDCHWrxMY8aI7DYGeH2vt1xufDtNshtEaG0qstVDGIPXkQo1nG4+5jGBLXX1jDY2os3D9K6VYfZ0+mvLqH0XIY9PrEYyJqPEZ1Jc+gr1K0kjxwOkK/1ubuUoeNdYNmsU9kxE3VHHDmuI8HjkZprNkUjCCqe4xxj4VWcHAUg/hYlHxRw8xHOR2c5aHOCO/9bQnD8uNYBo7pJlhp/Iusal/D9sYob7ZxZAc1G0dU+qg+B69goatpvHoR97BPYG4G2dbR8iWC2RDDmEpQl7CHAltGhcFai7ip0lssE0x76AfdmOEuRtxLX5bRPA3sgY5m+YjuD7EsCzWi4GgWLsBE4fGPfYjJuXz3R8+5VAtvNoxjCXgdP0HFwLFNSFo88vlZVK1BNT/A5dMYBi3sqIJju5GtOil5QMHx0r/w86RUNx13CzEi49cHzI+FKDUE5KMJdNlCwOH6HTcVo0+272LhdIxHfv/U/9/eff1Yet4Jfv+++X3PeU8+dWKlrq7uqk5sNpuZlCgxajWasOsJ6/Fm7M7Yho0xFrAvDMOmYdgXY9gGFthwM2vseGdmPWEtjczRUkNJFKMYW2QndndVV65z6uTw5ugL3a4vhjeri/78Be/NF3ifH354Hq69vU0w9fnqL25y/XtfoK83YbVOWk34tiWx8vU1suUxaslglkQ0ltc43JsxLVVYLctsfbTFYSfBsPokc5+wndLAIls2scWEV77ZZGMFnn0mh7RSxlip8f7bQy5fbbH92SGLSp7i3AFFxzUj+nOP5kM1GgtZTo6n/OjPP+fAlsjmZUoncx4u2YhHY7pmgatf2YCBA80mS406WD5eNovgjBG7A1TTpHviMsjEDMseneMu+axP9lIedzBjo5HnciHg7IrJ2hOnIDGZ9uacWauzuqHT/+HHRJ+8jbi7x6SsoZg2tXMlFrIFbG/M/UMVRS0yu3/MwzXIr2bobwW4X8zJ1Hxuv3eXkTOnWlQoGSK/9g+eIG2V+N4tlW89sU/Hk/D8HO/9yEYuV/jl//Iq/YmPlBG4vFTmsa8HnNmYsr+1SydpsNF2yAQTIsunXS7iDUest3824PI9neRUmUpWQphMSMc+OSnLlfUmu3eG2PkiT65lMGKHqmZQWNWJFB/SOVLNZDgQcPtjZlYdoZjj9EIB31VJJAkzEzGdKxwex6ysLkNmBWlHxD+0yOWnqLkEJ44oCxEDL8Q3y4ySkHbZwpECyqKAjsLeSUhGFvA0k1SQYXJIIuiEegnBMJjPp8hCH0kpMp5oEPpUZynFcom0UCBdLnMiy8iVDJEsYMYhWWfCQqxhTRNqmkkYJ2TLBpHjISoi2bLBV575ErfvvfEXf/aqrEPqJhRdAeXYprqYYTh3kcYxQX/GZNcnVkQa1QwzIaW80MZIVNI4R2coYSUmq7MO5kygHxfJJDGhISEqEpTq9FOfSlFHObCp6lXygk94lJC02nilLM8+v85Hbx7QLkyoemPsbInsep9AmlB7aYPRR33240Oip1aY6zGdNyYgVNBWS2jWEepyjtzDTZL+ADfymfUj0GsMRIMojHDslL1ti+XTObJFBc/LsHXdoV2WkUwJYxIQxwn7ao6RHNHKJ6hyFU+tIdU00tDm/KMrrCxKeM4c1+8hZBV6xSpyqlDQAk4/2yKULeZ9WDCKKL0xcQRyKYOoith5CbtwjJ4IGMcx3ZMZdkbmVFHBunWf4784IJtqpPdkQjmid5jnwzsB/X9zjXDu0y2dYuGCTPZ4xq0bMfsHBRoXDPof3+SZ588zObaZd22iXYHovstKvoGVERBtB1lJqa+2mAUJu3/yQ9bn93jmxWUGuzOUWpMwD+Zam+4kRAz2ya2a7O1ZNE86vD9LsMcDAl3gkVyAns6IVRN1uUat3eRSO0Op77I78Di8N0WsFDDHJ1QrCtVGnZs/2eehtgP+EKWi0Pl8iDOPceKYzGoBAcBNkL2ArZ0ZlufT70+RxQGXVkNyLZXQt7FclzRySF0LQVPxBJtJ54jVRZPFZy4xcnwgQkwyTB0RC52FckKq+MxzOnooIGRLqAsVUkkk9mx0HPIliTjRmCoyiaYjSlCuGeyfuLiRTs5wCIWApFolMCRUxSXypmT1gFpdx5klGFIOBA05LRL4HtmcjESMM7FJVJXZLOIbL3+JgdDv/Ytvv+rIBrLlE41c7EwJeaNJ996QTCAzvhMSfeagNnKsV1MyRoapm6fb9Zl8eoA1sIgcgfZYp39nl3Yty+ZFhc72Pbx9EaO5QBpGyJks1092OE5d4tUGSSkl31C49cEXCFFKdnmZ4bFHMK8gzisI1zrMkfnDf7LD2vmHif0NKl6F6fWIUj2LmEuoRAbiwKPj1ujbOYqhj6mGCDUTOxWRpgeUThc51vLc6ti8+8EhoaRTqAqopSaffXiHRlsjUGY4LRNR9alUZLqfReiVKpHlM5VDLm0alBsJVmwQjGL6xykDrcFDSyWWmga9n47Ye+0GteUlzLOLTN7rUPUC5lOP840JT21K9ASTQBmTHqZUS1VcN6Le1Ln71iHyximGoyxMjrlzEKCuKnizHt15j/DpVbTLTS6dMyiUHaaFJnJWoq4eIh51+eQtm8pTF7HdAElNuVqrIvRHUNfxTqXs3pkzteDYDSgtGBwMd3GKFW4cH6IYVVw5YWL76MkJj1xWscoq7sRh6bJOare4uXtC49F1rLyJdW+GXEoJfYVeINM7GHC91+HTH3/CrFBjmM0xyyoUFnPEvsuhFaFWfLTlVX7/NQ+13WZ3OyE4cVCPHUafTpGDEurgACeSWbogE84M2lmT0daMD3/qc3LkMdzzmB8NMKe7/Oorm2hFnWCo445Tpm/t8JM9j5maQ61mUSYJWbNIlCvwlfMFVnN9Nspgj0M+u+NycmdMJatRVT3yRki375ApF0gLEUms0O0l9IIpq22VYnzCfBpT0WwmcUrhbInI6jO3HbxQR8sopPMZJ3tj3FyBgZLBR6Que3gziVEsUC5ISKLA81//EnG++fGPXw2VlN5QojeOmGQrJDmdauKi9FzKusHmWoXly8tEQZa3v9/h+sfbGKpNJnFYOldFb+TRmwblVZWf/Okug2nM1UerZJoLeAsJrXzA7o3bmIt1VrImg9sWWtbAVFJW6hFb0xJ3ag1W5F2U8oxzGZ+gfYL1VJ7woRG/8rd/i3/6zwfsv/cOjz5T4OR+n196ssToxz/FjWPCvETFvoM8TPBKLTwSqnkHJ4iRGjUO9x2aKzZn/95TzI5lPvvXt8nWLtH8xgsUjZAk8bFEjTDwEI0UT1Jof+Uc1jt3kWc9+laDg6M+H73XYegWWW7ICHqJ4YcTbn0+otoos/X5Ln/7P32cqOex/wcfcvGSiROpyGrC9i2DfWGRjNJBTWVir0RWy1HQM6ysmaw2Chz9tMvXv1Hn0kqFjijQKuTRFl1+/W8tIyspS7rITkeg3z3N0W5M6eIKE8cid2aRVBxjqhHOUGVyY4xbKHLkpbQKOmW1SD6rMnACvMGYykaB8bmHubtl0W5pCHmYyBajYErrxQy5KzX+9J+8zurUZPsjizuv3eVv/uYjiFOH7HmVaRzjOFBKbIRykdzFBlVL5e6PLRabi2y0h6TzgMJGjuJykZb4s7+mpavrrG0WWDldYtyZUm9UKWlZikWwMzJ6PY+6AJO7AY1Yp5I3KRgFkiRl6YkFzr5yET9QePcP9rhx6KIEIYWCTO50nrKQks+pNBUNr6og9RwWcjbS3QFHhwEHbw358YcW1XMXOHvZQM/IWImIKiY4ep7IAnc2Z6GcpVHNcLc7wd3usV4KGahLRKLN8XGPoR+xulpBdj2USg1fypCceIw6IYKh4gzm1HIy5VKMWJQJddD9mJCUF7/2JZYQfvTGv33VzENtvY1Qlai2Kmzf6NIupIS+zqGfIw0VPnnzC37/j/cpPHqeZ15skDg9BMNGEiJmUoo7mVCqrWL1IaP4lGST7KGCHMRsO3P6zgjJkOlHJn5PZLmSMB/Z1KU5oVziJLXZyHY5cUzSfZ3m+pQ3xtf5737nMjffOSBfy9Df+5yn/84ZJiOFg1sTfM+kcqXMGXOXIic4RpvyiokyG+HYEn5GRsyKhNaMlmrhSgmtSp7nlnK4XZutoQqChxGNCYwEIwyxnYBsVSPUs3S+PeHyUosPjlP2z2QpL7e5uFqhoSWM5jr1fA4xnLNyHr537YTVdpZpZ8LReyPMZxZYXmry4+9N+D/eWkJaL1BU75PJlfGjGElLmdgpl1tZdt98mzu3BPKVhKNPHO7nNArFEXtxgHCiMXDBUBWmDtSLLYJeDiXU2f7kmLWnq8zdKarXoVURqT9ylokZc7R/n1xd4sSeMbZ8mk9eYDKMSVQFyYl5dqPA7k0L0dAo5qt05gV2/3SX6C+30XaG3C4XGJ5Z5pu/+zIUbG79wY/wcyOu3Rzy4ss1RMtjOI3IyB6PrDUw21XUTEhrw6Z7Z4zoZJH7LpP7A6zOEfnEQ7zXJemPWF8tkRpFbpvnOTTK7B8MUX2L9Q2JwBLJhQLK2KNyaFFwU3b7GfoziaHg8fTX8pQeK3Fy+4CVM1VKF3JUdIc4nqNECnP3gDABJx7y+Z8fcWTH+EmeS//R4zQfOYXXn3JvVMBQE+L5DCFMycgqliNi73nUzCzKponpDilM+oziKrsunH+uzd6dOUnks95UGE4DohMJbbeLtF5GzQqcb1aJTibMpn0EIcUPAkRbY+Sl/OIrXyLO77/5g1cVVcTpOUixS71mYrkhRlEmFIf45Ty7aGSbKQ9/tYmV2Exv7BCWZSZiBjkWKSoC0miCEKmIos/yuszWF3OCT+7hndgItTLe1KaEghFnYBqTRhAXDHLiDJOAuRQj+hFjrcrtcYXO0xGf33qXd9Iu3vUixYfLPPJYgy8++QCjLOGWTJylJp8xpmC6SA0T/flXuN+do3aPsY0qTuCjxA62ZaKLBRIvS7w9RLo9pFoyyMVjgniEJyVMtZRUk8hUy4S1GpOPrrNOgGqI9A2JYrXPmtynmB2BH+J5KUZbYUELyJYiSpsNhqMTDu6OmNY3mS2VUH98m0fOFzh3vsnS4wmKO8HyFVIlgjRGymkc/sTl9sjnscc3WC+H6IMu/ZLG6oUyccembc+QRIM7W2P8/jE1MeGrzYBG9zNkwcJql+j2IFcvMz2YsHU4JvAiDFFGMTVGRsLCBRnBm+A4PrlUZHjiYo80rBCy6Rjr/gHCbsrXHsvx6Eoenn0O9/QmkXtMtnuPt394AzGnMsfi8jefYuuH11E7DpG0TPb9u5wKdbKZAsNARsxkGF6L6d8Y0VhQ8EWNsZ7FjSQygU33+hHxnS3KZySywgG15pjlDYFMMmG0O6RcklCXRKZZAUWyqWZisvGEqj4CLaY7mtLpTinUdNypjGvNsTyJSRhidaZUcwHtWpmw42KUTR7+7aucXWnh3bMY3BzT2T1CFAMa1QQBGVlRIQ0hn0MXROxORNCxaJSq3BmXEbMJqZJhdGvEuQunuL5lURhbCLGBbhuookJsZAj9PEXFpr9/gHg6h1LUmU4dEksmZ4q8+MKXiPNPvvOXrzqxgp2dM8ukxJbA9NoXKGaR6moNxASjnMG2Q8yaQ7GgUjLHTLwYz2tyOlMijj3knAqCQZJxKC0YpHLKy60qmfEEpb7A9ChGzRTIB1s89PDP9lp37k5Js3n6JzJJqLAwyPDQ29f4asljJ9sn13qYNPcYS7sywts3GB1ZnFEjakUD777P9RsuV//uUxycaNz4KMXet9h+5waP/+omxztTRG+ErkZkVA9Nk4lDFzEv4usxTkZknCpkMyGCOCKzUma+exdnIKKVdLQIbnwS8zXlDrXcAfoFmTMbRU5mAtbNgGA0wmzrHPghB3djPNkhp/gcDRMuXCkhlOaMDo8wwhmF0R0WV0yuzwQkQ6WyAJEoMR8LZMUsC483WawE+Ccd5skKw1ii7moIUZZh14AwoBCGPPrSGfa3dXpTBb2QkjtXIDrVYOyIdIcqmQUZP7WomwGCUqbYbhFVV5lIIoe3emTyOeTIgafXsaYehUtXiWybxcRjoagSEVBervH6W/sM7hzSxEGcSpQ1lZVigUr1NIp5it1bU3K1Cjd3QqK1y9TXBSp336Arytz/NCYWYpauLmNpKYHgUMq4aPaM7vac5uMNktCmleyRdyYkjsrujs1mUWP0o+uMFBXjbBXZEDAkHc+JKEkCBecu3TRGXzCw7vWp1gQ6cZ+xUCLveGStHvF4jGdoJJM8HFjkHJlb14+49UZM7OqciX1y9ZTlVonv/N5Nzj+yzFEkkoYxujsjE2vMNQFXSdFxyeoxViBSatSxT2a0F1Wm9s9mM3JOJ1VM5qrAeDZANF12B0MKlxaotheIjwRkxSD1YO76fOubX2Lx/ePrf/xqoZEQazG5pQyGptPImnx8zeXuGzMSx+Lk1iHFFRXJEEmHFrOCxpmr63RvR+y+d4AdxywsFXDtBMeI6RxZ1BcUjvozbhMS1zXypoScK9FsaCy323z7TbizlWBUK7gnPklZ4NLaAtqgQ9I06VxpE/VlQpqUpg6rpZCorCMZAZ9/GhDmWlx6dgNR0Xjtf/0R2WDGV79aJrtp0rddtFjFNHVC2USTNfTxkGTq4sk5kkRFDAJUU8MVFFLZJbAHXH26THFlFV/QGGfb7DRXubxu01wy2HOK3L8Zc7gtMBqlPPcbZ1h6pMat6yOkfJ5s6pINExY2ywRewGDHY15bYN9VQSsgDkPmrsBP3x7T+XxGNsqyqCTUIg/x+JDp8ZRtfRFfkjlT8ije8WjJCp05uKaMvCCQySqM5inmSsyhN+bdScDxyOViS0JLfdYvNZEHPQqCR+ALGN0eQX/MTK1QKFcoCgp7H+yQMVPMikwh8DiZuBwrBXLN4s9eEN8RyYkyZ7J59qcRQjvLxDQJRxH5bI7uG58jkiM0M+hKwE7YQBCmtLodPhoUmIUqWsbHrkooaYpgaCTFMqWLNZzRGDGf4pVMcldaCEsK1+4FvP6JiBAliP0eP/7Cx+sHTG/2se0EZ2URp57Qx+beOKFUWSLrqTiTOdVNDSfJkFm4QDy2OLUoohtFwqFCFgEvVjGaWVZfPEVrvcr9vRnXhiHWicOH212e/pXzOHObYpxQmszoT0MsInQR+lshhiTiyxrJ1Ka+XMKZehTMEvt7IaWKgpJPESYjlETGa6sE6OweW1QqVezRDMe2iNUYY6PCK4++/CWWED59/VUvY+DqMsnxkNByqYoC5vJpHjvXRMv6aAsajSqMjZRiUWRiT9j7iy6NUKC4WqT5SIW8YDE7tMgvGYSuyOGdMW6osv7KGruf3kaSRdxURe1OcD4d8uZ7I3Y2TnPqOZWNMwkXvrKGtTvmxFPZNha5cTNksxMSpkXMvEpmOmXn4ITq41W6jkatUGOViN/9ne/y/FeafPO3L7O7Y+MlMmmaQUoCNFNHTFMCT0DoBFTEgGIxy/W7AUYxh9LK0dOrgM/dLzx2rllMuwanyg5aHmYLK3zx9qfkV7J8OBEZDkTKuPyNv3uViqjzv/0XP0WwhpTLJRInQDE09iMdVYwpoxEJDoVaBWco4g9m1Nsmm1dW2fzqEjl2aRc0GNp4SUDfzSOk0GpmiFQRa7/HheKY4wOXzizlm7/zELN5zOxYoL9/RKGaUL2kktEKuFtTJl2XUcdnPhpRXllAmqckc4W8qRANY5KuTSGwWb6wxN1bHcqqyKLsIlotokmKGgQUqh6IPl5Goap4bNR7GEpEZjYm76W4rkROTSm0DU5+cJ/NVkBjFXKVGTvvDXEvbHD6yQuUL6zSu71NkBrcihoMjBZzNWHvrS18UefuXoLmpYiyj9g6RbZYomTo/OpvLJA51WS5qrI/lTk8ChmlM2LFpZAVIC6w8tAVGo08jXM59p09vJ6M6GWZNJdJjIRgZ0ZZlNC9GUY2h6elHI9FLj9p8sTTNR59usTgzoc89MoVlpclou0u7V0H9+6EaG2NfM1nTcxzIV8mjAWUNZ9cVkbKCiQSSFaGst+kd+SjVhMUSWV2PEUpBhiKAsMjNisq/TEYiYToiYy9gF9+4Vt/9Tg/Gb//6s71QzKCwtIggxLp2LHM4GCEOtohMgOKTR134iLME4zQJQ7y1DF46VmF/LJE9igh/HRCUtVxtl1sXyafqhQ0m9AGI1QQSiL4KfJxyLBrEF+5gPlkkYebHcZfbNO95dNzLZSSgKd46HKOMPDIqZAGM0olOAn65B9qMLIk4o7N8d1dTl/MceXlJvsHE6ZOBr3vYsxkzDTF6tuM9y2YCRQth4uXKsRKk9e+D5pgINlj5MQir81ptMoMZgq7X1js9xS6Hx6zIndonjP5vC/gmFnMRZHWQp7h+zJv/b8hwzsOL/zDOjYhgiSh5RRET6KsCgRujKFXkD0fdyzhixIzO+DTGwqNZ9e5+LDOzI45FkyOHYFc2SRnB4z6DnuBSnVNxjzd5GZaxYp6LNZC/tX/8BaljEGmWeTeRz30gs65jRZbPz3i4uYCk90jls41yLVkbnw2Zsso4qzlSP0+Ql7giwMbV/aprzexJz4TecBiuUTVMOFkh6nhcmi1QZHw5QyR3eHxR08z+vgAw8tzIokstFWOh0dUFZ3V8xUk3eHmXEJdWOHrz2Tof97h5u1D2nWZQFYYjXzU4QkPbYoU6mXUxRpKYwGzDKElEkxk5E6PySxkKv3sjN+sgVczCOoigdXDCBL0wCSZwny3w+TWESsPP8IzL27y3LLJ3vYewSyi6LgwdBhYPlYcImd9JnbKgZvQvd3Bl4okKJxeTKnpGQ7uDajUTJQaXj/+AAAKuklEQVT7Y8RzF5gvVulPj6ntW8yObeZpSk+VEOYBW50p455L5QDOaj664XAcTSitFnGVmKAToIgaS8Ui4aQHyAi+j5aRSSSBv/Zl4vyj//tfvepYNqFr4QyXSGcWmqRTsPdZ8joE2ZhpRyCnSTTOZhD9GhlFQtKyTEyd7pZLfDDHkSycqkG5ILKaiynJM1rrOaIoi2x7pL7MPI4ZSgrjdgllXcVoTCj2XWb9I6JEw2lZ5LUMXnfGshnhFickxRPsvIHcD1Dya2SSRdz/60OebRyQtIroGwphmsPdHSDbLjNJRJNjxomAUUrJNQxC08aTNdZ/7Vv81j884uxakf/6yTmnpXvMvRksKwimyvlHmuQQaJxpUN8sMpmeUMmmjEKPpaeWcBSP0kKR7353zl5hk6d/vUkt12Eca1ihjBh4yG4EhkSeDLenxywsTKhuyDz5dJNQEImvT3n3vTvsf7bHcJRQ0DPklYR8Q+PyxQyvfd9m6GUpDn/KZx92mOYKbD6kEit9zJyOXkw56sr0d+/z9//Z06yacz78zjbSyhluvfcR+VLA0dghG2pcuVCiMJxhihlSOcvm5TyG6NLrTPHDLKOyxPrU4HC3xzwxkFc9gkGIbyl0Pp4STyVaF1+k89o+SixQ3GiSjBxG45jaYovBfohZ1+kGJju3RS5k7zO4vYu2WeTyZRNBmrNaidD7e9jOnPGOj3VkcUaTOH7zmOrSMlv7IaMtKM7KBJNbPPeVEtNPdDZLOi/91jphMGbn3RHzLyRyVYVSRaNgZfnB7/4b/uj/vMvA93nsyQLC2Me+e0Jrvc6tpE2+1SQJUrJmhvJazN6NHt/7ozt81tXJ6AKZQGE2TYhWF5k3VbrzYwbjmHouRj6JCWOFYV5llroMRw5xGDAfzDAzdayxSVDUmKYWquFy5fksh6LN3NGJNIXET/ANGbWYI1fIsH3tmF/9jV//EmfON374atgXOHOphXCzznrHYiHU8GsOZ14qUH1YRTI0WkKB494hw/s6LRPGQcrBwCXyVZbay7SLNoF7iKCEjLwSd7Qm20kGaTSjnUvo3vVAjVmsCcRiiBLYFPsT3B/00M63OZ09jxmYTD+f01iqk+9HVJNtstoYoZhwxlxDE87zwXc9vqHfRnt2mV62BMIIq+uS9hxaiY3RKOCqErGSJU3BVyEuBlxdGTEcFfiz/+eA/+p/PsVp5y2i5B4TPUM/o3FvO0O5opJLHHZ25xRyKUtLJbp3bEoLdZx+H/eLe5RSg9qiiiyPqJY6WMMBR2lCVhNRbZ84VpmrEUIQIV8xkH2XD/d1dn+g8OhGwFpuRGlZpdQsouQUiELmwzlOboz6UIk/eUehFJV5+RTUTJnZzphWIUaQV8grMom0RPrau/xn59/n/MM+//t/u81HB6tUn7zCy7+icWa1yP5eGb8noBRVvJ5LIkgMLZ9YslheyjBNi7CwztLTMT+81yNaizAWNAqdQwyjhCqktJcEmueq/Lt/9jrF7Qkbm3UGsypBCsVT6+zPJMYOFMwihqIxDSL2JjOK64s4oxzvfK/D/ryCPfPJ4GErCY1ikVg3aeo6/R2X0i9/jXFg8VzbZq23i351lZsHTf7g21lOHcjMPvh3/KPfWuWv/c5l+h2bGQMaQZ80SalceYx2KeTeTp/3v98hVxaJ8ibmUp1hWmMhmlOcTXFnMtn+fZ57ZYH1x3SOgxaW0GR5Mc/scIIg+AyjE+bdY1YaKtOxy7iSR1jOk62HyH5KyVRYWqhQP1tBLNh4+RlxzsPUM0x7Y+R8TLaWYvdcEtkgm7rkFZfI9hg5JqsPneGrTzz7V4/z83/7nVcr9QVUzcW8GXB+waN+KctWVeI7n4y4LRU4Kl3g+KMh5aUGqSQznU8Z6xpSXqeYVbh3u4Mi7TCrq4yLTd65VcU/GmKoNovuHLcH27suZ3+hwcBx6SspipxQyulsLFbpSDHvfVdiNZ5wJZ9la+QQqAZpM0YO9jByMoJ3kevbbY5u7PLK2YTPzBY9T8adhuTwSOoG7bWH2N2Z4CQpTwTw7r8+RsqPccwpv/l8nrf+x4+YZc7wd/6xzvT138Po9Tj9N3N877Mid38CGd/iseoQo2iw/5M7KKUyli8jj7uUxQ5RRiWQiqTdOfXYp6kO0NI5M1zyzhwShbGYoV3poEYztgoaoaPivPQ3ILrA1aNP6KsZetkiqQKiDNJkSDT2ib37KPGcd4+qFOs6ZxszMtPPyOUz3L5vce2Pj0g/PubNN+c0lxr8/f9+yq0/u8P/9KMWT/+jv87h3THJ6z9CtiBU6/SnYCtTakaT6KRAdhaRVyTE4IThNObOu0OqSZaGUWC5vszW/QQ9l6E3V9HLBplMSvcwJR7M+aVfaKGbBk4ocGyBLVQ5kx9yelPn3o2Qu7tHLGR09oOYYiNP0ne5eKbNmdUWqqhDDBRVimWVjmPgezOyNZ2o0uT4vfv8579ZZPjuIdHSJq/9YY/pco3TtoOrd/n9PzzkL/70hHKxyunLEroaENp1LmtFnm8d8K3fbuGtTaitOLSLKe/94z/hP35BpmTtsrCsEFaabNRTRscnzGWBWr5MvLMPQpM4lmg+3STQR8wTmSBUsCYKrRfa2HFIUOmDAKO9mP5oxN25wo4voRsxp6suoFPQI3ZvDBDCiEGSx0wyjDsmfa9Cq6SR+BLOvSkv/fVv/NXjfP3P//LVaShTS3o0Di0KS3U++GjAd753m5WXLqBvnOL0qsnOfoLrJRiaQGzIaMkYPdtl76SPdK5N+5SCVV1kdBBQzho8uzDiVD2k+3mPvbnCxn9ymlOPRxzufkqmIHH4/gB7a87m5gpPPX6Wq1eeZ/T+HHvq4VYclF2fc5kN0rdDKuvQG6/yR//0gBfkG3z9m2Mm8wRnpMLxnHYLAh3KSo7aYEaFiJsfpLz0RI1Wecw72yWO9bP88PvbPPGtBYL5Hca9Ay5sRPQbNf6X/waWXvklzGmP8bSHdDqLqIhERz6UKniCgkkMQpGcWsTvxDSVGGG/h7EokWl6HB2qjBY2qc8PWAq/YCjOiPJlHlk7RWtch70Cxs4H7BklLMeiOOohyilGuUqrLvDo18rUFzXu3Z7RWABVrnA0T/FEjdXffBjJ7bGyYHK/L3NXfYKXf6XBtdcP+axT4cUXThN89Bn54QEv/PJD7A9dNloTLp3bQexXOLH65BpzxJrI/uwmT3y9zckPTsgslnBPTqhLE1adAfJoSjlXZ+1UgBiJrJzJU2x49DU4tJqYZ5v0F9ew+i7FH3zA6BBsX6SxkUGVxki1CtlA4vD9PlLPQfci3E+OeeTRNkYQoFbnyJUU9+A+5bLM+N4ho75F/VTAyeJZPv1JD+khhXO/NGKuX8PauETmyV/DWqgw80Vmd/cZoLOwtk4tTdF++JdsXXuX7cUxo+kXvPT3vsUvXnyS8F9+l/du3eGDk4T3/3CLwxOV8cY6gaDy9JKNMpoTVkJG3pjxbkApp5ETDB65+gzPvvIVrm1NmW/tERb2EBKTpeoCtYUCxdDHTV1u3RiSpDaZahutYOCmOdQe1IpZqmmO/X6GpHKRaDBHDAUyWpav/cK//2pMIU3T/984H3jggf9wxP/QH/DAAw/8+z2I84EHfk49iPOBB35OPYjzgQd+Tj2I84EHfk49iPOBB35O/X/GUmshgQ25NAAAAABJRU5ErkJggg==\\n\",\"text/plain\":[\"<Figure size 288x288 with 1 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\\n\",\"text/plain\":[\"<Figure 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\\n\",\"text/plain\":[\"<Figure size 288x288 with 1 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"0vTPNahZySVj\"},\"source\":[\"# Final checks\\n\",\"Make sure you run \\\"Runtime -> Restart and run all...\\\" to double check Network Visualization before submitting.\"]}]}"
  },
  {
    "path": "eecs498-007/A4/network_visualization.py",
    "content": "\"\"\"\nImplements a network visualization in PyTorch.\nWARNING: you SHOULD NOT use \".to()\" or \".cuda()\" in each implementation block.\n\"\"\"\n\n# import os\nimport torch\n# import torchvision\n# import torchvision.transforms as T\n# import random\n# import numpy as np\nimport matplotlib.pyplot as plt\nfrom PIL import Image\nfrom a4_helper import *\n\n\ndef hello():\n  \"\"\"\n  This is a sample function that we will try to import and run to ensure that\n  our environment is correctly set up on Google Colab.\n  \"\"\"\n  print('Hello from network_visualization.py!')\n\ndef compute_saliency_maps(X, y, model):\n  \"\"\"\n  Compute a class saliency map using the model for images X and labels y.\n\n  Input:\n  - X: Input images; Tensor of shape (N, 3, H, W)\n  - y: Labels for X; LongTensor of shape (N,)\n  - model: A pretrained CNN that will be used to compute the saliency map.\n\n  Returns:\n  - saliency: A Tensor of shape (N, H, W) giving the saliency maps for the input\n  images.\n  \"\"\"\n  # Make input tensor require gradient\n  X.requires_grad_()\n  \n  saliency = None\n  ##############################################################################\n  # TODO: Implement this function. Perform a forward and backward pass through #\n  # the model to compute the gradient of the correct class score with respect  #\n  # to each input image. You first want to compute the loss over the correct   #\n  # scores (we'll combine losses across a batch by summing), and then compute  #\n  # the gradients with a backward pass.                                        #\n  # Hint: X.grad.data stores the gradients                                     #\n  ##############################################################################\n  # Replace \"pass\" statement with your code\n\n  # Make a forward pass of X (which contains N images) through the model.\n  # The output (scores) has shape (N, C): For each image, get its unnormalized\n  # scores (for each class of the dataset), e.g. C=1000 for a model trained on ImageNet.\n  scores = model(X)\n\n  # Get the -unnormalized- score of the correct class for each image.\n  # \"cscores\" has shape of (N,)\n  cscores = scores.gather(1, y.view(-1, 1)).squeeze()\n\n  # Compute the loss over the correct scores.\n  # As mentioned above, the loss is the sum across batch correct class scores.\n  loss = torch.sum(cscores)\n  # Apply the backward pass, which computes the gradient of the loss\n  # w.r.t. our model's parameters (among others, the input X).\n  loss.backward()\n\n  # Note that we can apply the backward pass directly from \"cscores\" by using:\n  # >>> cscores.backward(gradient=torch.ones_like(y))\n  # The reason: The sub-computational graph for the \"sum\" method is:\n  # -----\n  # Forward pass:                 cscores   ---> [sum] ---> loss\n  # Backward pass (gradiants):  [1, ..., 1] <--------------   1\n  # -----\n  # That is, we can directly start from \"cscores\" gradient, which is a tensor of\n  # ones with the shape (N,). Actually: ones_like(y) == ones_like(cscores)\n\n  # Compute the absolute value of the X gradients.\n  # Saliency Maps requires nonnegative values (gradients).\n  # For now, \"saliency\" has shape of: (N, 3, H, W)\n  saliency = X.grad.abs()\n  # Take the maximum value over the 3 input channels (for each of N images).\n  # Now, \"saliency\" has shape of: (N, H, W)\n  saliency = torch.max(saliency, dim=1).values\n\n  ##############################################################################\n  #               END OF YOUR CODE                                             #\n  ##############################################################################\n  return saliency\n\ndef make_adversarial_attack(X, target_y, model, max_iter=100, verbose=True):\n  \"\"\"\n  Generate an adversarial attack that is close to X, but that the model classifies\n  as target_y.\n\n  Inputs:\n  - X: Input image; Tensor of shape (1, 3, 224, 224)\n  - target_y: An integer in the range [0, 1000)\n  - model: A pretrained CNN\n  - max_iter: Upper bound on number of iteration to perform\n  - verbose: If True, it prints the pogress (you can use this flag for debugging)\n\n  Returns:\n  - X_adv: An image that is close to X, but that is classifed as target_y\n  by the model.\n  \"\"\"\n  # Initialize our adversarial attack to the input image, and make it require gradient\n  X_adv = X.clone()\n  X_adv = X_adv.requires_grad_()\n  \n  learning_rate = 1\n  ##############################################################################\n  # TODO: Generate an adversarial attack X_adv that the model will classify    #\n  # as the class target_y. You should perform gradient ascent on the score     #\n  # of the target class, stopping when the model is fooled.                    #\n  # When computing an update step, first normalize the gradient:               #\n  #   dX = learning_rate * g / ||g||_2                                         #\n  #                                                                            #\n  # You should write a training loop.                                          #\n  #                                                                            #\n  # HINT: For most examples, you should be able to generate an adversarial     #\n  # attack in fewer than 100 iterations of gradient ascent.                    #\n  # You can print your progress over iterations to check your algorithm.       #\n  ##############################################################################\n  # Replace \"pass\" statement with your code\n\n  # Training loop: Apply gradient ascent 100 times, in maximum.\n  for epoch in range(100):\n    # Forward pass, \"scores\" shape is (1, 1000)\n    scores = model(X_adv)\n\n    # Get the predicted class (pred) and its socre (pred_score).\n    pred_score, pred = torch.max(scores, axis=1)\n    pred_score, pred = pred_score.item(), pred.item()\n\n    # Get the \"target_y\" score.\n    target_score = scores[:, target_y].squeeze()\n\n    # Display some information about the current epoch (iteration).\n    print('Iteration %2d: target score %.3f, max score %.3f' \\\n          % (epoch+1, target_score.item(), pred_score))\n\n    # Check if the model is fooled, i.e. \"predicted class\" equals \"target_y\".\n    if pred == target_y:\n      print('\\nThe model is fooled.')\n      break\n\n    # Apply the backward pass: Compute the gradient of \"target score\" w.r.t.\n    # model's trainable parameters (among others, \"X_adv\").\n    target_score.backward()\n\n    # Normalize the gradient (Note that \"L2 norm\" was used in the division).\n    X_adv.grad *= learning_rate / torch.linalg.norm(X_adv.grad)\n\n    # Compute an update step: Apply the gradient ascent.\n    # Note that an addition is used (+=) insted of substraction (-=), because\n    # the goal is to maximize \"target_y\" predicted score.\n    X_adv.data += X_adv.grad.data\n\n    # Re-initialize the gradient of \"X_adv\" to zero (for the next epoch).\n    X_adv.grad.data.zero_()\n\n  ##############################################################################\n  #                             END OF YOUR CODE                               #\n  ##############################################################################\n  return X_adv\n\n\ndef class_visualization_step(img, target_y, model, **kwargs):\n    \"\"\"\n    Performs gradient step update to generate an image that maximizes the \n    score of target_y under a pretrained model.\n  \n    Inputs:\n    - img: random image with jittering as a PyTorch tensor  \n    - target_y: Integer in the range [0, 1000) giving the index of the class\n    - model: A pretrained CNN that will be used to generate the image\n    \n    Keyword arguments:\n    - l2_reg: Strength of L2 regularization on the image\n    - learning_rate: How big of a step to take\n    \"\"\"\n\n    l2_reg = kwargs.pop('l2_reg', 1e-3)\n    learning_rate = kwargs.pop('learning_rate', 25)\n    ########################################################################\n    # TODO: Use the model to compute the gradient of the score for the     #\n    # class target_y with respect to the pixels of the image, and make a   #\n    # gradient step on the image using the learning rate. Don't forget the #\n    # L2 regularization term!                                              #\n    # Be very careful about the signs of elements in your code.            #\n    # Hint: You have to perform inplace operations on img.data to update   #\n    # the generated image using gradient ascent & reset img.grad to zero   #\n    # after each step.                                                     #\n    ########################################################################\n    # Replace \"pass\" statement with your code\n\n    # Forward pass, \"scores\" shape is (1, 1000)\n    scores = model(img)\n\n    # Get the \"target_y\" score.\n    target_score = scores[:, target_y].squeeze()\n    # Add the regularization term (Note that the L2 norm is squared).\n    target_score -= l2_reg * torch.square(torch.linalg.norm(img))\n\n    # Apply the backward pass: Compute the gradient of \"target score\" w.r.t.\n    # model's trainable parameters (among others, \"img\").\n    target_score.backward()\n\n    # Compute an update step: Apply the gradient ascent.\n    # Note that an addition is used (+=) insted of substraction (-=), because\n    # the goal is to maximize \"target_y\" predicted score.\n    img.data += learning_rate * img.grad.data\n\n    # Re-initialize the gradient of \"img\" to zero.\n    img.grad.data.zero_()\n\n    ########################################################################\n    #                             END OF YOUR CODE                         #\n    ########################################################################\n    return img\n"
  },
  {
    "path": "eecs498-007/A4/pytorch_autograd_and_nn.ipynb",
    "content": "{\"nbformat\":4,\"nbformat_minor\":0,\"metadata\":{\"accelerator\":\"GPU\",\"colab\":{\"name\":\"pytorch_autograd_and_nn.ipynb\",\"provenance\":[],\"collapsed_sections\":[]},\"kernelspec\":{\"display_name\":\"Python 3\",\"name\":\"python3\"},\"language_info\":{\"codemirror_mode\":{\"name\":\"ipython\",\"version\":3},\"file_extension\":\".py\",\"mimetype\":\"text/x-python\",\"name\":\"python\",\"nbconvert_exporter\":\"python\",\"pygments_lexer\":\"ipython3\",\"version\":\"3.7.1\"},\"toc\":{\"nav_menu\":{},\"number_sections\":true,\"sideBar\":true,\"skip_h1_title\":false,\"toc_cell\":false,\"toc_position\":{},\"toc_section_display\":\"block\",\"toc_window_display\":false},\"varInspector\":{\"cols\":{\"lenName\":16,\"lenType\":16,\"lenVar\":40},\"kernels_config\":{\"python\":{\"delete_cmd_postfix\":\"\",\"delete_cmd_prefix\":\"del \",\"library\":\"var_list.py\",\"varRefreshCmd\":\"print(var_dic_list())\"},\"r\":{\"delete_cmd_postfix\":\") \",\"delete_cmd_prefix\":\"rm(\",\"library\":\"var_list.r\",\"varRefreshCmd\":\"cat(var_dic_list()) \"}},\"types_to_exclude\":[\"module\",\"function\",\"builtin_function_or_method\",\"instance\",\"_Feature\"],\"window_display\":false}},\"cells\":[{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"DDJwQPZcupab\"},\"source\":[\"# EECS 498-007/598-005 Assignment 4-1: Pytorch Autograd and NN\\n\",\"\\n\",\"Before we start, please put your name and UMID in following format\\n\",\"\\n\",\": Firstname LASTNAME, #00000000   //   e.g.) Justin JOHNSON, #12345678\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"2KMxqLt1h2kx\"},\"source\":[\"**Your Answer:**   \\n\",\"Soufian BENAMARA, #NOid\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"aQW_w1Wzw72f\",\"tags\":[\"pdf-title\"]},\"source\":[\"# [torch.autograd](https://pytorch.org/docs/stable/autograd.html) and [torch.nn](https://pytorch.org/docs/stable/nn.html)\\n\",\"\\n\",\"So far, we used PyTorch to accelarate computation using GPU.\\n\",\"PyTorch also provides several useful packages, which help to design deep neural networks efficiently.\\n\",\"\\n\",\"The `torch.autograd` package provides classes and functions implementing automatic differentiation of arbitrary scalar valued functions.\\n\",\"\\n\",\"This notebook assumes that you are using **PyTorch version 1.3 or above**.\\n\",\"In some of the previous versions (e.g. before 0.4), Tensors had to be wrapped in `torch.autograd.Variable` objects to enable autograd;\\n\",\"however this class has now been deprecated and merged with `torch.Tensor`.\\n\",\"In addition 1.0 also separates a Tensor's datatype from its device, and uses numpy-style factories for constructing Tensors rather than directly invoking Tensor constructors.\\n\",\"Now, to obtain gradients for a tensor via autograd from arbitrary scalar valued functions, you can simply set `requires_grad=True`.\\n\",\"\\n\",\"The `torch.nn` package defines a set of Modules, which you can think of as a neural network layer that has produces output from input and may have some trainable weights.\\n\",\"\\n\",\"You can also find the detailed [API doc](http://pytorch.org/docs/stable/index.html) here.\\n\",\"If you have other questions that are not addressed by the API docs, the [PyTorch forum](https://discuss.pytorch.org/) is a much better place to ask than StackOverflow.\\n\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"ED0jpoGyIL_B\",\"tags\":[\"pdf-ignore\"]},\"source\":[\"# Table of Contents\\n\",\"\\n\",\"This assignment has 5 parts. You will learn PyTorch on **three different levels of abstraction**, which will help you understand it better.\\n\",\"\\n\",\"1. Part I, Preparation: As we always do, we will use CIFAR-10 dataset.\\n\",\"2. Part II, Barebones PyTorch: **Abstraction level 1**, we will work directly with the lowest-level PyTorch Tensors with autograd.\\n\",\"3. Part III, PyTorch Module API: **Abstraction level 2**, we will use `nn.Module` to define an arbitrary neural network architecture. \\n\",\"4. Part IV, PyTorch Sequential API: **Abstraction level 3**, we will use `nn.Sequential` to define a fully-connected and convolutional network very conveniently. \\n\",\"5. Part V, Residual Network: please implement your own ResNet to get a high accuracy on CIFAR-10.\\n\",\"\\n\",\"Here is a table of comparison:\\n\",\"\\n\",\"| API             | Flexibility | Convenience |\\n\",\"|-----------------|-------------|-------------|\\n\",\"| Barebone        | High        | Low         |\\n\",\"| `nn.Module`     | High        | Medium      |\\n\",\"| `nn.Sequential` | Low         | High        |\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"7LCmGZ_3IL_V\"},\"source\":[\"# Part I. Preparation\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"ubB_0e-UAOVK\"},\"source\":[\"Before getting started we need to run some boilerplate code to set up our environment. You'll need to rerun this setup code each time you start the notebook.\\n\",\"\\n\",\"First, run this cell load the [autoreload](https://ipython.readthedocs.io/en/stable/config/extensions/autoreload.html?highlight=autoreload) extension. This allows us to edit `.py` source files, and re-import them into the notebook for a seamless editing and debugging experience.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"ASkY27ZtA7Is\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1617456253557,\"user_tz\":-60,\"elapsed\":856,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}}},\"source\":[\"%load_ext autoreload\\n\",\"%autoreload 2\"],\"execution_count\":1,\"outputs\":[]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"rseA2LOaXlpf\"},\"source\":[\"### Google Colab Setup\\n\",\"\\n\",\"Next we need to run a few commands to set up our environment on Google Colab. If you are running this notebook on a local machine you can skip this section.\\n\",\"\\n\",\"Run the following cell to mount your Google Drive. Follow the link, sign in to your Google account (the same account you used to store this notebook!) and copy the authorization code into the text box that appears below.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"qXyYCFDnXkee\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1617456253845,\"user_tz\":-60,\"elapsed\":1133,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"f287522e-8a92-4225-840c-75a7de5f16f0\"},\"source\":[\"from google.colab import drive\\n\",\"drive.mount('/content/drive')\"],\"execution_count\":2,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Drive already mounted at /content/drive; to attempt to forcibly remount, call drive.mount(\\\"/content/drive\\\", force_remount=True).\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"A3ITvb-mXyCs\"},\"source\":[\"Now recall the path in your Google Drive where you uploaded this notebook, fill it in below. If everything is working correctly then running the folowing cell should print the filenames from the assignment:\\n\",\"\\n\",\"```\\n\",\"['eecs598', 'network_visualization.py', 'style_transfer.py',  'network_visualization.ipynb', 'a4_helper.py', 'pytorch_autograd_and_nn.py', 'pytorch_autograd_and_nn.ipynb', 'style_transfer.ipynb', 'rnn_lstm_attention_captioning.ipynb',  'rnn_lstm_attention_captioning.py']\\n\",\"```\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"BMop7WhzX5GT\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1617456253846,\"user_tz\":-60,\"elapsed\":1125,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"43f738b9-cfce-4c03-e10b-e209cb21fe7f\"},\"source\":[\"import os\\n\",\"\\n\",\"# TODO: Fill in the Google Drive path where you uploaded the assignment\\n\",\"# Example: If you create a 2020FA folder and put all the files under A1 folder, then '2020FA/A1'\\n\",\"GOOGLE_DRIVE_PATH_AFTER_MYDRIVE = '2020FA/A4'\\n\",\"GOOGLE_DRIVE_PATH = os.path.join('drive', 'My Drive', GOOGLE_DRIVE_PATH_AFTER_MYDRIVE)\\n\",\"print(os.listdir(GOOGLE_DRIVE_PATH))\"],\"execution_count\":3,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"['network_visualization.py', 'a4_helper.py', 'rnn_lstm_attention_captioning.ipynb', 'style_transfer.ipynb', 'network_visualization.ipynb', 'rnn_lstm_attention_captioning.py', 'style_transfer.py', 'eecs598', '__pycache__', 'pytorch_autograd_and_nn.py', 'pytorch_autograd_and_nn.ipynb']\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"t8MhujYNbSir\"},\"source\":[\"Once you have successfully mounted your Google Drive and located the path to this assignment, run th following cell to allow us to import from the `.py` files of this assignment. If it works correctly, it should print the message:\\n\",\"\\n\",\"```\\n\",\"Hello from pytorch_autograd_and_nn.py!\\n\",\"```\\n\",\"\\n\",\"as well as the last edit time for the file `pytorch_autograd_and_nn.py`.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"pGJoaRyybcka\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1617456254632,\"user_tz\":-60,\"elapsed\":1902,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"f812010f-0973-4b86-ff16-3bba44854bc0\"},\"source\":[\"import sys\\n\",\"sys.path.append(GOOGLE_DRIVE_PATH)\\n\",\"\\n\",\"import time, os\\n\",\"os.environ[\\\"TZ\\\"] = \\\"US/Eastern\\\"\\n\",\"time.tzset()\\n\",\"\\n\",\"from pytorch_autograd_and_nn import *\\n\",\"from a4_helper import *\\n\",\"hello()\\n\",\"\\n\",\"py_path = os.path.join(GOOGLE_DRIVE_PATH, 'pytorch_autograd_and_nn.py')\\n\",\"py_edit_time = time.ctime(os.path.getmtime(py_path))\\n\",\"print('pytorch_autograd_and_nn.py last edited on %s' % py_edit_time)\"],\"execution_count\":4,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Hello from pytorch_autograd_and_nn.py!\\n\",\"pytorch_autograd_and_nn.py last edited on Sat Apr  3 09:23:41 2021\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"MzqbYcKdz6ew\"},\"source\":[\"### Load Packages\\n\",\"\\n\",\"Run some setup code for this notebook: Import some useful packages and increase the default figure size.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"Q8o3FxatIL_X\",\"tags\":[\"pdf-ignore\"],\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1617456254633,\"user_tz\":-60,\"elapsed\":1893,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}}},\"source\":[\"import torch\\n\",\"import torch.nn as nn\\n\",\"import torch.nn.functional as F\\n\",\"import torch.optim as optim\\n\",\"from eecs598.utils import reset_seed\\n\",\"from collections import OrderedDict\\n\",\"\\n\",\"# for plotting\\n\",\"import matplotlib.pyplot as plt\\n\",\"plt.rcParams['figure.figsize'] = (10.0, 8.0) # set default size of plots\\n\",\"plt.rcParams['image.interpolation'] = 'nearest'\\n\",\"plt.rcParams['image.cmap'] = 'gray'\\n\",\"\\n\",\"%matplotlib inline\"],\"execution_count\":5,\"outputs\":[]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"xcPWzzO3gVE2\"},\"source\":[\"We will use the GPU to accelerate our computation. Run this cell to make sure you are using a GPU.\\n\",\"\\n\",\"We will be using `torch.float = torch.float32` for data and `torch.long = torch.int64` for labels.\\n\",\"\\n\",\"Please refer to https://pytorch.org/docs/stable/tensor_attributes.html#torch-dtype for more details about data types.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"blz1sXlkIL_q\",\"tags\":[\"pdf-ignore-input\"],\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1617456254634,\"user_tz\":-60,\"elapsed\":1888,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"b6a0716a-693e-4e1b-b41f-7c72a8cf7b7f\"},\"source\":[\"to_float= torch.float\\n\",\"to_long = torch.long\\n\",\"\\n\",\"if torch.cuda.is_available:\\n\",\"  print('Good to go!')\\n\",\"else:\\n\",\"  print('Please set GPU via Edit -> Notebook Settings.')\"],\"execution_count\":6,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Good to go!\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"UnprYqtnfzzE\"},\"source\":[\"### Load CIFAR\\n\",\"Firstly, we will load the CIFAR-10 dataset. The utility function `load_CIFAR()` in `a4_helper` returns training, validaton and testing dataloaders for CIFAR-10 dataset. We are using [torchvision.datasets.CIFAR10](https://pytorch.org/docs/stable/torchvision/datasets.html?highlight=cifar#torchvision.datasets.CIFAR10) to download the CIFAR-10 dataset.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"-XB6NUX0IL_f\",\"tags\":[\"pdf-ignore\"],\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1617456257046,\"user_tz\":-60,\"elapsed\":4288,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"64f5ea2f-2caf-4068-9d99-6932817d32d3\"},\"source\":[\"loader_train, loader_val, loader_test = load_CIFAR(path='./datasets/')\"],\"execution_count\":7,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Files already downloaded and verified\\n\",\"Files already downloaded and verified\\n\",\"Files already downloaded and verified\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"mazLauPlIL_5\"},\"source\":[\"# Part II. Barebones PyTorch\\n\",\"\\n\",\"PyTorch ships with high-level APIs to help us define model architectures conveniently, which we will cover in Part II of this tutorial. In this section, we will start with the barebone PyTorch elements to understand the autograd engine better. After this exercise, you will come to appreciate the high-level model API more.\\n\",\"\\n\",\"We will start with a simple fully-connected ReLU network with two hidden layers and no biases for CIFAR classification. \\n\",\"This implementation computes the forward pass using operations on PyTorch Tensors, and uses PyTorch autograd to compute gradients. It is important that you understand every line, because you will write a harder version after the example.\\n\",\"\\n\",\"When we create a PyTorch Tensor with `requires_grad=True`, then operations involving that Tensor will not just compute values; they will also build up a computational graph in the background, allowing us to easily backpropagate through the graph to compute gradients of some Tensors with respect to a downstream loss. Concretely, if `x` is a Tensor with `x.requires_grad == True` then after backpropagation `x.grad` will be another Tensor holding the gradient of `x` with respect to the scalar loss at the end.\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"3rPnppVkIMAB\",\"tags\":[\"pdf-ignore\"]},\"source\":[\"### Barebones PyTorch: Two-Layer Network\\n\",\"\\n\",\"Here we define a function `two_layer_fc` which performs the forward pass of a two-layer fully-connected ReLU network on a batch of image data. After defining the forward pass we check that it doesn't crash and that it produces outputs of the right shape by running zeros through the network.\\n\",\"\\n\",\"You don't have to write any code here, but it's important that you read and understand the implementation.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"D6PqRQwlIMAC\",\"tags\":[\"pdf-ignore-input\"],\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1617456257048,\"user_tz\":-60,\"elapsed\":4279,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"b0b7c1f3-d728-4d58-a2be-5a5f073c34ca\"},\"source\":[\"def two_layer_fc(x, params):\\n\",\"  \\\"\\\"\\\"\\n\",\"  A fully-connected neural networks; the architecture is:\\n\",\"  NN is fully connected -> ReLU -> fully connected layer.\\n\",\"  Note that this function only defines the forward pass; \\n\",\"  PyTorch will take care of the backward pass for us.\\n\",\"  \\n\",\"  The input to the network will be a minibatch of data, of shape\\n\",\"  (N, d1, ..., dM) where d1 * ... * dM = D. The hidden layer will have H units,\\n\",\"  and the output layer will produce scores for C classes.\\n\",\"  \\n\",\"  Inputs:\\n\",\"  - x: A PyTorch Tensor of shape (N, d1, ..., dM) giving a minibatch of\\n\",\"    input data.\\n\",\"  - params: A list [w1, w2] of PyTorch Tensors giving weights for the network;\\n\",\"    w1 has shape (H, D) and w2 has shape (C, H).\\n\",\"  \\n\",\"  Returns:\\n\",\"  - scores: A PyTorch Tensor of shape (N, C) giving classification scores for\\n\",\"    the input data x.\\n\",\"  \\\"\\\"\\\"\\n\",\"  # first we flatten the image\\n\",\"  x = flatten(x)  # shape: [batch_size, C x H x W]\\n\",\"  \\n\",\"  w1, b1, w2, b2 = params\\n\",\"  \\n\",\"  # Forward pass: compute predicted y using operations on Tensors. Since w1 and\\n\",\"  # w2 have requires_grad=True, operations involving these Tensors will cause\\n\",\"  # PyTorch to build a computational graph, allowing automatic computation of\\n\",\"  # gradients. Since we are no longer implementing the backward pass by hand we\\n\",\"  # don't need to keep references to intermediate values.\\n\",\"  # Note that F.linear(x, w, b) is equivalent to x.mm(w.t()) + b\\n\",\"  # For ReLU, you can also use `.clamp(min=0)`, equivalent to `F.relu()`\\n\",\"  x = F.relu(F.linear(x, w1, b1))\\n\",\"  x = F.linear(x, w2, b2)\\n\",\"  return x\\n\",\"    \\n\",\"\\n\",\"def two_layer_fc_test():\\n\",\"  hidden_layer_size = 42\\n\",\"  x = torch.zeros((64, 3, 16, 16), dtype=to_float)  # minibatch size 64, feature dimension 3*16*16\\n\",\"  w1 = torch.zeros((hidden_layer_size, 3*16*16), dtype=to_float)\\n\",\"  b1 = torch.zeros((hidden_layer_size,), dtype=to_float)\\n\",\"  w2 = torch.zeros((10, hidden_layer_size), dtype=to_float)\\n\",\"  b2 = torch.zeros((10,), dtype=to_float)\\n\",\"  scores = two_layer_fc(x, [w1, b1, w2, b2])\\n\",\"  print('Output size:', list(scores.size()))  # you should see [64, 10]\\n\",\"\\n\",\"two_layer_fc_test()\"],\"execution_count\":8,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Output size: [64, 10]\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"muCDvYEKIMAJ\"},\"source\":[\"### Barebones PyTorch: Three-Layer ConvNet\\n\",\"\\n\",\"Here you will complete the implementation of the function `three_layer_convnet`, which will perform the forward pass of a three-layer convolutional network. Like above, we can immediately test our implementation by passing zeros through the network. The network should have the following architecture:\\n\",\"\\n\",\"1. A convolutional layer (with bias) with `channel_1` filters, each with shape `kernel_size_1 x kernel_size_1`, and zero-padding of two\\n\",\"2. ReLU nonlinearity\\n\",\"3. A convolutional layer (with bias) with `channel_2` filters, each with shape `kernel_size_2 x kernel_size_2`, and zero-padding of one\\n\",\"4. ReLU nonlinearity\\n\",\"5. Fully-connected layer with bias, producing scores for C classes.\\n\",\"\\n\",\"Note that we have **no softmax activation** here after our fully-connected layer: this is because PyTorch's cross entropy loss performs a softmax activation for you, and by bundling that step in makes computation more efficient.\\n\",\"\\n\",\"**HINT**: For convolutions: https://pytorch.org/docs/stable/nn.functional.html#torch.nn.functional.conv2d; pay attention to the shapes of convolutional filters! You can use `print(tensor.shape)` for debugging the shapes after each intemidiate layer.\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"Z7Cg9qvTIMAR\"},\"source\":[\"Implement `three_layer_convnet` and run the cell below to test it. When you run this function, scores should have shape (64, 10).\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"1kEMMi4QIMAa\",\"tags\":[\"pdf-ignore-input\"],\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1617456257403,\"user_tz\":-60,\"elapsed\":4624,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"143a3f9d-9712-498d-b0d5-d03ff8e5db8d\"},\"source\":[\"def three_layer_convnet_test():\\n\",\"  x = torch.zeros((64, 3, 32, 32), dtype=to_float)  # minibatch size 64, image size [3, 32, 32]\\n\",\"\\n\",\"  conv_w1 = torch.zeros((6, 3, 5, 5), dtype=to_float)  # [out_channel, in_channel, kernel_H, kernel_W]\\n\",\"  conv_b1 = torch.zeros((6,))  # out_channel\\n\",\"  conv_w2 = torch.zeros((9, 6, 3, 3), dtype=to_float)  # [out_channel, in_channel, kernel_H, kernel_W]\\n\",\"  conv_b2 = torch.zeros((9,))  # out_channel\\n\",\"\\n\",\"  # you must calculate the shape of the tensor after two conv layers, before the fully-connected layer\\n\",\"  fc_w = torch.zeros((10, 9 * 32 * 32))\\n\",\"  fc_b = torch.zeros(10)\\n\",\"\\n\",\"  # YOUR_TURN: Impelement the three_layer_convnet function\\n\",\"  scores = three_layer_convnet(x, [conv_w1, conv_b1, conv_w2, conv_b2, fc_w, fc_b])\\n\",\"  print('Output size:', list(scores.size()))  # you should see [64, 10]\\n\",\"three_layer_convnet_test()\"],\"execution_count\":9,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Output size: [64, 10]\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"WBStmY2yIMAh\"},\"source\":[\"### Barebones PyTorch: Kaiming Initialization\\n\",\"In this part, we are going to use [Kaiming initialization](https://arxiv.org/abs/1502.01852), which you already implemented in Assignment 3.\\n\",\"\\n\",\"Fortunately, PyTorch already provides a function, so we will use this:\\n\",\"[torch.nn.init.kaiming_normal_](https://pytorch.org/docs/stable/nn.init.html#torch.nn.init.kaiming_normal_)\\n\",\"\\n\",\"By default, `gain = 2`, because this function assumes that ReLU activation follows.\\n\",\"This is true in the linear and convolutional layers in the models you are going to implement, except for the last fully-connected layer:\\n\",\"in principle, we should give `gain = 1` because ReLU is not applied there.\\n\",\"However, as stated in the [original paper](https://arxiv.org/abs/1502.01852), since the factor 1/2 does not matter if it just exists on one layer, we are going to keep using `gain = 2` for simplicity.\\n\",\"\\n\",\"For more details on initialization methods provided by PyTorch, see https://pytorch.org/docs/stable/nn.init.html.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"_rf9JRh5IMAj\",\"tags\":[\"pdf-ignore-input\"],\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1617456260510,\"user_tz\":-60,\"elapsed\":7722,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"0017f2ff-1794-4629-9708-df644d97657d\"},\"source\":[\"reset_seed(0)\\n\",\"\\n\",\"# create a weight of shape [3 x 5]\\n\",\"print(nn.init.kaiming_normal_(torch.empty(3, 5, dtype=to_float, device='cuda')))\\n\",\"print(nn.init.zeros_(torch.empty(3 ,5, dtype=to_float, device='cuda')))\"],\"execution_count\":10,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"tensor([[-0.5848, -0.2690, -1.6721,  0.0918, -0.0764],\\n\",\"        [-0.3667, -0.3939, -0.2077, -0.6796, -0.2297],\\n\",\"        [-1.0569,  1.4328,  0.1971, -0.1165,  0.8137]], device='cuda:0')\\n\",\"tensor([[0., 0., 0., 0., 0.],\\n\",\"        [0., 0., 0., 0., 0.],\\n\",\"        [0., 0., 0., 0., 0.]], device='cuda:0')\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"akQqCObPIMAo\"},\"source\":[\"### Barebones PyTorch: Check Accuracy\\n\",\"When training the model we will use the following function to check the accuracy of our model on the training or validation sets.\\n\",\"\\n\",\"When checking accuracy we don't need to compute any gradients; as a result we don't need PyTorch to build a computational graph for us when we compute scores. To prevent a graph from being built we scope our computation under a `torch.no_grad()` context manager.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"l4xAUWASIMAq\",\"tags\":[\"pdf-ignore-input\"],\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1617456260511,\"user_tz\":-60,\"elapsed\":7712,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}}},\"source\":[\"def check_accuracy_part2(loader, model_fn, params):\\n\",\"  \\\"\\\"\\\"\\n\",\"  Check the accuracy of a classification model.\\n\",\"  \\n\",\"  Inputs:\\n\",\"  - loader: A DataLoader for the data split we want to check\\n\",\"  - model_fn: A function that performs the forward pass of the model,\\n\",\"    with the signature scores = model_fn(x, params)\\n\",\"  - params: List of PyTorch Tensors giving parameters of the model\\n\",\"  \\n\",\"  Returns: Nothing, but prints the accuracy of the model\\n\",\"  \\\"\\\"\\\"\\n\",\"  split = 'val' if loader.dataset.train else 'test'\\n\",\"  print('Checking accuracy on the %s set' % split)\\n\",\"  num_correct, num_samples = 0, 0\\n\",\"  with torch.no_grad():\\n\",\"    for x, y in loader:\\n\",\"      x = x.to(device='cuda', dtype=to_float)  # move to device, e.g. GPU\\n\",\"      y = y.to(device='cuda', dtype=to_long)\\n\",\"      scores = model_fn(x, params)\\n\",\"      _, preds = scores.max(1)\\n\",\"      num_correct += (preds == y).sum()\\n\",\"      num_samples += preds.size(0)\\n\",\"    acc = float(num_correct) / num_samples\\n\",\"    print('Got %d / %d correct (%.2f%%)' % (num_correct, num_samples, 100 * acc))\\n\",\"    return acc\"],\"execution_count\":11,\"outputs\":[]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"8LvPbM4WIMAv\"},\"source\":[\"### BareBones PyTorch: Training Loop\\n\",\"We can now set up a basic training loop to train our network. We will train the model using stochastic gradient descent without momentum. We will use `torch.nn.functional.cross_entropy` to compute the loss; you can [read about it here](https://pytorch.org/docs/stable/nn.html#crossentropyloss).\\n\",\"\\n\",\"The training loop takes as input the neural network function, a list of initialized parameters (`[w1, w2]` in our example), and learning rate.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"WYGBD0YZIMAx\",\"tags\":[\"pdf-ignore-input\"],\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1617456260512,\"user_tz\":-60,\"elapsed\":7706,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}}},\"source\":[\"def train_part2(model_fn, params, learning_rate):\\n\",\"  \\\"\\\"\\\"\\n\",\"  Train a model on CIFAR-10.\\n\",\"  \\n\",\"  Inputs:\\n\",\"  - model_fn: A Python function that performs the forward pass of the model.\\n\",\"    It should have the signature scores = model_fn(x, params) where x is a\\n\",\"    PyTorch Tensor of image data, params is a list of PyTorch Tensors giving\\n\",\"    model weights, and scores is a PyTorch Tensor of shape (N, C) giving\\n\",\"    scores for the elements in x.\\n\",\"  - params: List of PyTorch Tensors giving weights for the model\\n\",\"  - learning_rate: Python scalar giving the learning rate to use for SGD\\n\",\"  \\n\",\"  Returns: Nothing\\n\",\"  \\\"\\\"\\\"\\n\",\"  for t, (x, y) in enumerate(loader_train):\\n\",\"    # Move the data to the proper device (GPU or CPU)\\n\",\"    x = x.to(device='cuda', dtype=to_float)\\n\",\"    y = y.to(device='cuda', dtype=to_long)\\n\",\"\\n\",\"    # Forward pass: compute scores and loss\\n\",\"    scores = model_fn(x, params)\\n\",\"    loss = F.cross_entropy(scores, y)\\n\",\"\\n\",\"    # Backward pass: PyTorch figures out which Tensors in the computational\\n\",\"    # graph has requires_grad=True and uses backpropagation to compute the\\n\",\"    # gradient of the loss with respect to these Tensors, and stores the\\n\",\"    # gradients in the .grad attribute of each Tensor.\\n\",\"    loss.backward()\\n\",\"\\n\",\"    # Update parameters. We don't want to backpropagate through the\\n\",\"    # parameter updates, so we scope the updates under a torch.no_grad()\\n\",\"    # context manager to prevent a computational graph from being built.\\n\",\"    with torch.no_grad():\\n\",\"      for w in params:\\n\",\"        if w.requires_grad:\\n\",\"          w -= learning_rate * w.grad\\n\",\"\\n\",\"          # Manually zero the gradients after running the backward pass\\n\",\"          w.grad.zero_()\\n\",\"\\n\",\"    if t % 100 == 0 or t == len(loader_train)-1:\\n\",\"      print('Iteration %d, loss = %.4f' % (t, loss.item()))\\n\",\"      acc = check_accuracy_part2(loader_val, model_fn, params)\\n\",\"  return acc\"],\"execution_count\":12,\"outputs\":[]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"gkTNXK9cIMA6\"},\"source\":[\"### BareBones PyTorch: Train a Two-Layer Network\\n\",\"Now we are ready to run the training loop. We need to explicitly allocate tensors for the fully connected weights, `w1` and `w2`. \\n\",\"\\n\",\"Each minibatch of CIFAR has 64 examples, so the tensor shape is `[64, 3, 32, 32]`. \\n\",\"\\n\",\"After flattening, `x` shape should be `[64, 3 * 32 * 32]`. This will be the size of the second dimension of `w1`. \\n\",\"The first dimension of `w1` is the hidden layer size, which will also be the second dimension of `w2`. \\n\",\"\\n\",\"Finally, the output of the network is a 10-dimensional vector that represents the probability distribution over 10 classes. \\n\",\"\\n\",\"You don't need to tune any hyperparameters but you should see accuracies around 40% after training for one epoch.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"OSBSy0JTIMA8\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1617456270533,\"user_tz\":-60,\"elapsed\":17720,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"45993e52-7bb8-464e-c7bc-3f5c5b3c8d4a\"},\"source\":[\"reset_seed(0)\\n\",\"\\n\",\"C, H, W = 3, 32, 32\\n\",\"num_classes = 10\\n\",\"\\n\",\"hidden_layer_size = 4000\\n\",\"learning_rate = 1e-2\\n\",\"\\n\",\"w1 = nn.init.kaiming_normal_(torch.empty(hidden_layer_size, C*H*W, dtype=to_float, device='cuda'))\\n\",\"w1.requires_grad = True\\n\",\"b1 = nn.init.zeros_(torch.empty(hidden_layer_size, dtype=to_float, device='cuda'))\\n\",\"b1.requires_grad = True\\n\",\"w2 = nn.init.kaiming_normal_(torch.empty(num_classes, hidden_layer_size, dtype=to_float, device='cuda'))\\n\",\"w2.requires_grad = True\\n\",\"b2 = nn.init.zeros_(torch.empty(num_classes, dtype=to_float, device='cuda'))\\n\",\"b2.requires_grad = True\\n\",\"\\n\",\"_ = train_part2(two_layer_fc, [w1, b1, w2, b2], learning_rate)\"],\"execution_count\":13,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Iteration 0, loss = 3.5134\\n\",\"Checking accuracy on the val set\\n\",\"Got 153 / 1000 correct (15.30%)\\n\",\"Iteration 100, loss = 2.8268\\n\",\"Checking accuracy on the val set\\n\",\"Got 363 / 1000 correct (36.30%)\\n\",\"Iteration 200, loss = 2.1683\\n\",\"Checking accuracy on the val set\\n\",\"Got 396 / 1000 correct (39.60%)\\n\",\"Iteration 300, loss = 1.8409\\n\",\"Checking accuracy on the val set\\n\",\"Got 419 / 1000 correct (41.90%)\\n\",\"Iteration 400, loss = 1.5695\\n\",\"Checking accuracy on the val set\\n\",\"Got 430 / 1000 correct (43.00%)\\n\",\"Iteration 500, loss = 2.1471\\n\",\"Checking accuracy on the val set\\n\",\"Got 414 / 1000 correct (41.40%)\\n\",\"Iteration 600, loss = 1.9083\\n\",\"Checking accuracy on the val set\\n\",\"Got 404 / 1000 correct (40.40%)\\n\",\"Iteration 700, loss = 1.8546\\n\",\"Checking accuracy on the val set\\n\",\"Got 422 / 1000 correct (42.20%)\\n\",\"Iteration 765, loss = 1.5771\\n\",\"Checking accuracy on the val set\\n\",\"Got 397 / 1000 correct (39.70%)\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"7K_n_BZPIMBB\"},\"source\":[\"### BareBones PyTorch: Training a ConvNet\\n\",\"\\n\",\"Now, it's your turn to  implement `initialize_three_layer_conv_part2` function and run the following cell. \\n\",\"\\n\",\"You don't need to tune any hyperparameters, but if everything works correctly you should achieve an accuracy around 45% after one epoch.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"wBRWytEzIMBC\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1617456280813,\"user_tz\":-60,\"elapsed\":27991,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"9639fd37-ae99-43e1-a8d9-e701f9a5fa66\"},\"source\":[\"reset_seed(0)\\n\",\"learning_rate = 3e-3\\n\",\"# YOUR_TURN: Impelement the initialize_three_layer_conv_part2 function\\n\",\"params = initialize_three_layer_conv_part2(dtype=to_float, device='cuda')\\n\",\"acc_hist_part2 = train_part2(three_layer_convnet, params, learning_rate)\"],\"execution_count\":14,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Iteration 0, loss = 2.6007\\n\",\"Checking accuracy on the val set\\n\",\"Got 109 / 1000 correct (10.90%)\\n\",\"Iteration 100, loss = 1.9973\\n\",\"Checking accuracy on the val set\\n\",\"Got 349 / 1000 correct (34.90%)\\n\",\"Iteration 200, loss = 1.7886\\n\",\"Checking accuracy on the val set\\n\",\"Got 391 / 1000 correct (39.10%)\\n\",\"Iteration 300, loss = 1.6608\\n\",\"Checking accuracy on the val set\\n\",\"Got 416 / 1000 correct (41.60%)\\n\",\"Iteration 400, loss = 1.5936\\n\",\"Checking accuracy on the val set\\n\",\"Got 451 / 1000 correct (45.10%)\\n\",\"Iteration 500, loss = 1.6610\\n\",\"Checking accuracy on the val set\\n\",\"Got 449 / 1000 correct (44.90%)\\n\",\"Iteration 600, loss = 1.6296\\n\",\"Checking accuracy on the val set\\n\",\"Got 468 / 1000 correct (46.80%)\\n\",\"Iteration 700, loss = 1.7863\\n\",\"Checking accuracy on the val set\\n\",\"Got 481 / 1000 correct (48.10%)\\n\",\"Iteration 765, loss = 1.2417\\n\",\"Checking accuracy on the val set\\n\",\"Got 463 / 1000 correct (46.30%)\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"YXGdsYInIMBH\"},\"source\":[\"# Part III. PyTorch Module API\\n\",\"\\n\",\"Barebone PyTorch requires that we track all the parameter tensors by hand. This is fine for small networks with a few tensors, but it would be extremely inconvenient and error-prone to track tens or hundreds of tensors in larger networks.\\n\",\"\\n\",\"PyTorch provides the `nn.Module` API for you to define arbitrary network architectures, while tracking every learnable parameters for you. In Part II, we implemented SGD ourselves. PyTorch also provides the `torch.optim` package that implements all the common optimizers, such as RMSProp, Adagrad, and Adam. It even supports approximate second-order methods like L-BFGS! You can refer to the [doc](http://pytorch.org/docs/master/optim.html) for the exact specifications of each optimizer.\\n\",\"\\n\",\"To use the Module API, follow the steps below:\\n\",\"\\n\",\"1. Subclass `nn.Module`. Give your network class an intuitive name like `TwoLayerFC`. \\n\",\"\\n\",\"2. In the constructor `__init__()`, define all the layers you need as class attributes. Layer objects like `nn.Linear` and `nn.Conv2d` are themselves `nn.Module` subclasses and contain learnable parameters, so that you don't have to instantiate the raw tensors yourself. `nn.Module` will track these internal parameters for you. Refer to the [doc](http://pytorch.org/docs/master/nn.html) to learn more about the dozens of builtin layers. **Warning**: don't forget to call the `super().__init__()` first!\\n\",\"\\n\",\"3. In the `forward()` method, define the *connectivity* of your network. You should use the attributes defined in `__init__` as function calls that take tensor as input and output the \\\"transformed\\\" tensor. Do *not* create any new layers with learnable parameters in `forward()`! All of them must be declared upfront in `__init__`. \\n\",\"\\n\",\"After you define your Module subclass, you can instantiate it as an object and call it just like the NN forward function in part II.\\n\",\"\\n\",\"### Module API: Two-Layer Network\\n\",\"Here is a concrete example of a 2-layer fully connected network.\\n\",\"We use `nn.init.kaiming_normal_` to initialize weights using Kaiming initialization, and `nn.init.zeros_` to initialize biases.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"2Ue0_Cf1IMBJ\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1617456280814,\"user_tz\":-60,\"elapsed\":27983,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"50da9f6f-2032-4b92-8468-67f9298265e6\"},\"source\":[\"class TwoLayerFC(nn.Module):\\n\",\"  def __init__(self, input_size, hidden_size, num_classes):\\n\",\"    super().__init__()\\n\",\"    # assign layer objects to class attributes\\n\",\"    self.fc1 = nn.Linear(input_size, hidden_size)\\n\",\"    self.fc2 = nn.Linear(hidden_size, num_classes)\\n\",\"    # nn.init package contains convenient initialization methods\\n\",\"    # https://pytorch.org/docs/stable/nn.init.html#torch.nn.init.kaiming_normal_ \\n\",\"    nn.init.kaiming_normal_(self.fc1.weight)\\n\",\"    nn.init.kaiming_normal_(self.fc2.weight)\\n\",\"    nn.init.zeros_(self.fc1.bias)\\n\",\"    nn.init.zeros_(self.fc2.bias)\\n\",\"  \\n\",\"  def forward(self, x):\\n\",\"    # forward always defines connectivity\\n\",\"    x = flatten(x)\\n\",\"    scores = self.fc2(F.relu(self.fc1(x)))\\n\",\"    return scores\\n\",\"\\n\",\"def test_TwoLayerFC():\\n\",\"  input_size = 3*16*16\\n\",\"  x = torch.zeros((64, input_size), dtype=to_float)  # minibatch size 64, feature dimension 3*16*16\\n\",\"  model = TwoLayerFC(input_size, 42, 10)\\n\",\"  scores = model(x)\\n\",\"  print('Architecture:')\\n\",\"  print(model) # printing `nn.Module` shows the architecture of the module.\\n\",\"  print('Output size:', list(scores.size()))  # you should see [64, 10]\\n\",\"test_TwoLayerFC()\"],\"execution_count\":15,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Architecture:\\n\",\"TwoLayerFC(\\n\",\"  (fc1): Linear(in_features=768, out_features=42, bias=True)\\n\",\"  (fc2): Linear(in_features=42, out_features=10, bias=True)\\n\",\")\\n\",\"Output size: [64, 10]\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"CruYc2HJIMBP\"},\"source\":[\"### Module API: Three-Layer ConvNet\\n\",\"It's your turn to implement a 3-layer ConvNet followed by a fully connected layer. \\n\",\"\\n\",\"After you implement the `ThreeLayerConvNet`, the `test_ThreeLayerConvNet` function will run your implementation; it should print `(64, 10)` for the shape of the output scores.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"R58EqBTYIMBU\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1617456280815,\"user_tz\":-60,\"elapsed\":27975,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"44bb2a55-d7f4-4ce1-b36f-48e092e61599\"},\"source\":[\"def test_ThreeLayerConvNet():\\n\",\"  x = torch.zeros((64, 3, 32, 32), dtype=to_float)  # minibatch size 64, image size [3, 32, 32]\\n\",\"  # YOUR_TURN: Impelement the functions in ThreeLayerConvNet class\\n\",\"  model = ThreeLayerConvNet(in_channel=3, channel_1=12, channel_2=8, num_classes=10)\\n\",\"  scores = model(x)\\n\",\"  print(model) # printing `nn.Module` shows the architecture of the module.\\n\",\"  print('Output size:', list(scores.size()))  # you should see [64, 10]\\n\",\"test_ThreeLayerConvNet()\"],\"execution_count\":16,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"ThreeLayerConvNet(\\n\",\"  (conv1): Conv2d(3, 12, kernel_size=(5, 5), stride=(1, 1), padding=(2, 2))\\n\",\"  (conv2): Conv2d(12, 8, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\\n\",\"  (fc): Linear(in_features=8192, out_features=10, bias=True)\\n\",\")\\n\",\"Output size: [64, 10]\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"3efFpwV_IMBZ\"},\"source\":[\"### Module API: Check Accuracy\\n\",\"Given the validation or test set, we can check the classification accuracy of a neural network. \\n\",\"\\n\",\"This version is slightly different from the one in part II. You don't manually pass in the parameters anymore.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"LpgKJLVbIMBb\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1617456280816,\"user_tz\":-60,\"elapsed\":27967,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}}},\"source\":[\"def check_accuracy_part34(loader, model):\\n\",\"  if loader.dataset.train:\\n\",\"    print('Checking accuracy on validation set')\\n\",\"  else:\\n\",\"    print('Checking accuracy on test set')   \\n\",\"  num_correct = 0\\n\",\"  num_samples = 0\\n\",\"  model.eval()  # set model to evaluation mode\\n\",\"  with torch.no_grad():\\n\",\"    for x, y in loader:\\n\",\"      x = x.to(device='cuda', dtype=to_float)  # move to device, e.g. GPU\\n\",\"      y = y.to(device='cuda', dtype=to_long)\\n\",\"      scores = model(x)\\n\",\"      _, preds = scores.max(1)\\n\",\"      num_correct += (preds == y).sum()\\n\",\"      num_samples += preds.size(0)\\n\",\"    acc = float(num_correct) / num_samples\\n\",\"    print('Got %d / %d correct (%.2f)' % (num_correct, num_samples, 100 * acc))\\n\",\"  return acc\"],\"execution_count\":17,\"outputs\":[]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"-tmOMi8SIMBj\"},\"source\":[\"### Module API: Training Loop\\n\",\"We also use a slightly different training loop. Rather than updating the values of the weights ourselves, we use an Optimizer object from the `torch.optim` package, which abstract the notion of an optimization algorithm and provides implementations of most of the algorithms commonly used to optimize neural networks.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"HLJjvtu1IMBm\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1617456280816,\"user_tz\":-60,\"elapsed\":27961,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}}},\"source\":[\"def adjust_learning_rate(optimizer, lrd, epoch, schedule):\\n\",\"  \\\"\\\"\\\"\\n\",\"  Multiply lrd to the learning rate if epoch is in schedule\\n\",\"  \\n\",\"  Inputs:\\n\",\"  - optimizer: An Optimizer object we will use to train the model\\n\",\"  - lrd: learning rate decay; a factor multiplied at scheduled epochs\\n\",\"  - epochs: the current epoch number\\n\",\"  - schedule: the list of epochs that requires learning rate update\\n\",\"  \\n\",\"  Returns: Nothing, but learning rate might be updated\\n\",\"  \\\"\\\"\\\"\\n\",\"  if epoch in schedule:\\n\",\"    for param_group in optimizer.param_groups:\\n\",\"      print('lr decay from {} to {}'.format(param_group['lr'], param_group['lr'] * lrd))\\n\",\"      param_group['lr'] *= lrd\\n\",\"\\n\",\"def train_part345(model, optimizer, epochs=1, learning_rate_decay=.1, schedule=[], verbose=True):\\n\",\"  \\\"\\\"\\\"\\n\",\"  Train a model on CIFAR-10 using the PyTorch Module API.\\n\",\"  \\n\",\"  Inputs:\\n\",\"  - model: A PyTorch Module giving the model to train.\\n\",\"  - optimizer: An Optimizer object we will use to train the model\\n\",\"  - epochs: (Optional) A Python integer giving the number of epochs to train for\\n\",\"  \\n\",\"  Returns: Nothing, but prints model accuracies during training.\\n\",\"  \\\"\\\"\\\"\\n\",\"  model = model.to(device='cuda')  # move the model parameters to CPU/GPU\\n\",\"  num_iters = epochs * len(loader_train)\\n\",\"  print_every = 100\\n\",\"  if verbose:\\n\",\"    num_prints = num_iters // print_every + 1\\n\",\"  else:\\n\",\"    num_prints = epochs\\n\",\"  acc_history = torch.zeros(num_prints, dtype=to_float)\\n\",\"  iter_history = torch.zeros(num_prints, dtype=to_long)\\n\",\"  for e in range(epochs):\\n\",\"    \\n\",\"    adjust_learning_rate(optimizer, learning_rate_decay, e, schedule)\\n\",\"    \\n\",\"    for t, (x, y) in enumerate(loader_train):\\n\",\"      model.train()  # put model to training mode\\n\",\"      x = x.to(device='cuda', dtype=to_float)  # move to device, e.g. GPU\\n\",\"      y = y.to(device='cuda', dtype=to_long)\\n\",\"\\n\",\"      scores = model(x)\\n\",\"      loss = F.cross_entropy(scores, y)\\n\",\"\\n\",\"      # Zero out all of the gradients for the variables which the optimizer\\n\",\"      # will update.\\n\",\"      optimizer.zero_grad()\\n\",\"\\n\",\"      # This is the backwards pass: compute the gradient of the loss with\\n\",\"      # respect to each  parameter of the model.\\n\",\"      loss.backward()\\n\",\"\\n\",\"      # Actually update the parameters of the model using the gradients\\n\",\"      # computed by the backwards pass.\\n\",\"      optimizer.step()\\n\",\"\\n\",\"      tt = t + e * len(loader_train)\\n\",\"\\n\",\"      if verbose and (tt % print_every == 0 or (e == epochs-1 and t == len(loader_train)-1)):\\n\",\"        print('Epoch %d, Iteration %d, loss = %.4f' % (e, tt, loss.item()))\\n\",\"        acc = check_accuracy_part34(loader_val, model)\\n\",\"        acc_history[tt // print_every] = acc\\n\",\"        iter_history[tt // print_every] = tt\\n\",\"        print()\\n\",\"      elif not verbose and (t == len(loader_train)-1):\\n\",\"        print('Epoch %d, Iteration %d, loss = %.4f' % (e, tt, loss.item()))\\n\",\"        acc = check_accuracy_part34(loader_val, model)\\n\",\"        acc_history[e] = acc\\n\",\"        iter_history[e] = tt\\n\",\"        print()\\n\",\"  return acc_history, iter_history\"],\"execution_count\":18,\"outputs\":[]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"uFQs2WWKIMBu\"},\"source\":[\"### Module API: Train a Two-Layer Network\\n\",\"Now we are ready to run the training loop. In contrast to part II, we don't explicitly allocate parameter tensors anymore.\\n\",\"\\n\",\"Simply pass the input size, hidden layer size, and number of classes (i.e. output size) to the constructor of `TwoLayerFC`. \\n\",\"\\n\",\"You also need to define an optimizer that tracks all the learnable parameters inside `TwoLayerFC`.\\n\",\"\\n\",\"You don't need to tune any hyperparameters or implement anything, but you should see model accuracies around 40% after training for one epoch.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"v4Od-a6_IMBv\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1617456290900,\"user_tz\":-60,\"elapsed\":38038,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"f05a0bfc-e8bd-40c0-914c-84e699aada2e\"},\"source\":[\"reset_seed(0)\\n\",\"\\n\",\"C, H, W = 3, 32, 32\\n\",\"num_classes = 10\\n\",\"\\n\",\"hidden_layer_size = 4000\\n\",\"learning_rate = 1e-2\\n\",\"weight_decay = 1e-4\\n\",\"\\n\",\"model = TwoLayerFC(C*H*W, hidden_layer_size, num_classes)\\n\",\"\\n\",\"optimizer = optim.SGD(model.parameters(), lr=learning_rate,\\n\",\"                      weight_decay=weight_decay)\\n\",\"\\n\",\"_ = train_part345(model, optimizer)\"],\"execution_count\":19,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Epoch 0, Iteration 0, loss = 3.3988\\n\",\"Checking accuracy on validation set\\n\",\"Got 139 / 1000 correct (13.90)\\n\",\"\\n\",\"Epoch 0, Iteration 100, loss = 2.9726\\n\",\"Checking accuracy on validation set\\n\",\"Got 328 / 1000 correct (32.80)\\n\",\"\\n\",\"Epoch 0, Iteration 200, loss = 2.1085\\n\",\"Checking accuracy on validation set\\n\",\"Got 336 / 1000 correct (33.60)\\n\",\"\\n\",\"Epoch 0, Iteration 300, loss = 2.1709\\n\",\"Checking accuracy on validation set\\n\",\"Got 432 / 1000 correct (43.20)\\n\",\"\\n\",\"Epoch 0, Iteration 400, loss = 1.9805\\n\",\"Checking accuracy on validation set\\n\",\"Got 437 / 1000 correct (43.70)\\n\",\"\\n\",\"Epoch 0, Iteration 500, loss = 1.7867\\n\",\"Checking accuracy on validation set\\n\",\"Got 447 / 1000 correct (44.70)\\n\",\"\\n\",\"Epoch 0, Iteration 600, loss = 2.1035\\n\",\"Checking accuracy on validation set\\n\",\"Got 473 / 1000 correct (47.30)\\n\",\"\\n\",\"Epoch 0, Iteration 700, loss = 1.6729\\n\",\"Checking accuracy on validation set\\n\",\"Got 472 / 1000 correct (47.20)\\n\",\"\\n\",\"Epoch 0, Iteration 765, loss = 1.6794\\n\",\"Checking accuracy on validation set\\n\",\"Got 413 / 1000 correct (41.30)\\n\",\"\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"J_35SZYHIMB4\"},\"source\":[\"### Module API: Train a Three-Layer ConvNet\\n\",\"You should now use the Module API to train a three-layer ConvNet on CIFAR. This should look very similar to training the two-layer network! You don't need to tune any hyperparameters, but you should achieve above around 45% after training for one epoch.\\n\",\"\\n\",\"Implement the `initialize_three_layer_conv_part3` function, you should train the model using stochastic gradient descent without momentum, with L2 weight decay of 1e-4.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"-bIRiwOJIMB6\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1617456300965,\"user_tz\":-60,\"elapsed\":48094,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"032a311c-cf39-4f09-c468-3a6b7243b891\"},\"source\":[\"reset_seed(0)\\n\",\"# YOUR_TURN: Impelement initialize_three_layer_conv_part3\\n\",\"model, optimizer = initialize_three_layer_conv_part3()\\n\",\"acc_hist_part3, _ = train_part345(model, optimizer)\"],\"execution_count\":20,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Epoch 0, Iteration 0, loss = 3.2691\\n\",\"Checking accuracy on validation set\\n\",\"Got 126 / 1000 correct (12.60)\\n\",\"\\n\",\"Epoch 0, Iteration 100, loss = 1.9332\\n\",\"Checking accuracy on validation set\\n\",\"Got 319 / 1000 correct (31.90)\\n\",\"\\n\",\"Epoch 0, Iteration 200, loss = 1.7349\\n\",\"Checking accuracy on validation set\\n\",\"Got 372 / 1000 correct (37.20)\\n\",\"\\n\",\"Epoch 0, Iteration 300, loss = 1.6909\\n\",\"Checking accuracy on validation set\\n\",\"Got 409 / 1000 correct (40.90)\\n\",\"\\n\",\"Epoch 0, Iteration 400, loss = 1.4227\\n\",\"Checking accuracy on validation set\\n\",\"Got 416 / 1000 correct (41.60)\\n\",\"\\n\",\"Epoch 0, Iteration 500, loss = 1.5768\\n\",\"Checking accuracy on validation set\\n\",\"Got 435 / 1000 correct (43.50)\\n\",\"\\n\",\"Epoch 0, Iteration 600, loss = 1.3388\\n\",\"Checking accuracy on validation set\\n\",\"Got 440 / 1000 correct (44.00)\\n\",\"\\n\",\"Epoch 0, Iteration 700, loss = 1.5642\\n\",\"Checking accuracy on validation set\\n\",\"Got 457 / 1000 correct (45.70)\\n\",\"\\n\",\"Epoch 0, Iteration 765, loss = 1.7758\\n\",\"Checking accuracy on validation set\\n\",\"Got 470 / 1000 correct (47.00)\\n\",\"\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"qeTdi4-xIMB_\"},\"source\":[\"# Part IV. PyTorch Sequential API\\n\",\"\\n\",\"Part III introduced the PyTorch Module API, which allows you to define arbitrary learnable layers and their connectivity. \\n\",\"\\n\",\"For simple models like a stack of feed forward layers, you still need to go through 3 steps: subclass `nn.Module`, assign layers to class attributes in `__init__`, and call each layer one by one in `forward()`. Is there a more convenient way? \\n\",\"\\n\",\"Fortunately, PyTorch provides a container Module called `nn.Sequential`, which merges the above steps into one. It is not as flexible as `nn.Module`, because you cannot specify more complex topology than a feed-forward stack, but it's good enough for many use cases.\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"ZZq-3hjxeYr4\"},\"source\":[\"### Sequential API: Two-Layer Network\\n\",\"Let's see how to rewrite our two-layer fully connected network example with `nn.Sequential`, and train it using the training loop defined above.\\n\",\"Here, let's skip weight initialization for simplicity;\\n\",\"with a more advanced optimizer than the naive SGD, the default initialization provided in `torch.nn` is good enough for shallow networks.\\n\",\"\\n\",\"Again, you don't need to tune any hyperparameters or implement anything here, but you should achieve around 40% accuracy after one epoch of training.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"9smkhciWIMCC\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1617456311021,\"user_tz\":-60,\"elapsed\":58141,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"176fb1b3-bdcc-42de-c032-0f0a8cdd88cc\"},\"source\":[\"reset_seed(0)\\n\",\"C, H, W = 3, 32, 32\\n\",\"num_classes = 10\\n\",\"\\n\",\"hidden_layer_size = 4000\\n\",\"learning_rate = 1e-2\\n\",\"weight_decay = 1e-4\\n\",\"momentum = 0.5\\n\",\"\\n\",\"# To give a specific name to each module, use OrderedDict.\\n\",\"model = nn.Sequential(OrderedDict([\\n\",\"  ('flatten', Flatten()),\\n\",\"  ('fc1', nn.Linear(C*H*W, hidden_layer_size)),\\n\",\"  ('relu1', nn.ReLU()),\\n\",\"  ('fc2', nn.Linear(hidden_layer_size, num_classes)),\\n\",\"]))\\n\",\"\\n\",\"print('Architecture:')\\n\",\"print(model) # printing `nn.Module` shows the architecture of the module.\\n\",\"\\n\",\"# you can use Nesterov momentum in optim.SGD\\n\",\"optimizer = optim.SGD(model.parameters(), lr=learning_rate, \\n\",\"                      weight_decay=weight_decay,\\n\",\"                      momentum=momentum, nesterov=True)\\n\",\"\\n\",\"_ = train_part345(model, optimizer)\"],\"execution_count\":21,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Architecture:\\n\",\"Sequential(\\n\",\"  (flatten): Flatten()\\n\",\"  (fc1): Linear(in_features=3072, out_features=4000, bias=True)\\n\",\"  (relu1): ReLU()\\n\",\"  (fc2): Linear(in_features=4000, out_features=10, bias=True)\\n\",\")\\n\",\"Epoch 0, Iteration 0, loss = 2.3772\\n\",\"Checking accuracy on validation set\\n\",\"Got 137 / 1000 correct (13.70)\\n\",\"\\n\",\"Epoch 0, Iteration 100, loss = 1.7474\\n\",\"Checking accuracy on validation set\\n\",\"Got 394 / 1000 correct (39.40)\\n\",\"\\n\",\"Epoch 0, Iteration 200, loss = 1.7006\\n\",\"Checking accuracy on validation set\\n\",\"Got 409 / 1000 correct (40.90)\\n\",\"\\n\",\"Epoch 0, Iteration 300, loss = 1.6135\\n\",\"Checking accuracy on validation set\\n\",\"Got 444 / 1000 correct (44.40)\\n\",\"\\n\",\"Epoch 0, Iteration 400, loss = 1.6331\\n\",\"Checking accuracy on validation set\\n\",\"Got 457 / 1000 correct (45.70)\\n\",\"\\n\",\"Epoch 0, Iteration 500, loss = 1.5453\\n\",\"Checking accuracy on validation set\\n\",\"Got 460 / 1000 correct (46.00)\\n\",\"\\n\",\"Epoch 0, Iteration 600, loss = 1.4802\\n\",\"Checking accuracy on validation set\\n\",\"Got 470 / 1000 correct (47.00)\\n\",\"\\n\",\"Epoch 0, Iteration 700, loss = 1.6623\\n\",\"Checking accuracy on validation set\\n\",\"Got 451 / 1000 correct (45.10)\\n\",\"\\n\",\"Epoch 0, Iteration 765, loss = 1.2971\\n\",\"Checking accuracy on validation set\\n\",\"Got 454 / 1000 correct (45.40)\\n\",\"\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"5YMYfFUGIMCH\"},\"source\":[\"### Sequential API: Three-Layer ConvNet\\n\",\"Now, it's your turn to use `nn.Sequential` to define and train a three-layer ConvNet with the same architecture we used in Part III. \\n\",\"\\n\",\"Implement `initialize_three_layer_conv_part4` and  you should see accuracy around 50% after one epoch of training.                      \\n\",\"\\t\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"Q2To2-mtIMCJ\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1617456321594,\"user_tz\":-60,\"elapsed\":68705,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"278e94c1-76f8-40bc-8690-079090da4a8d\"},\"source\":[\"reset_seed(0)\\n\",\"\\n\",\"# YOUR_TURN: Impelement initialize_three_layer_conv_part4\\n\",\"model, optimizer = initialize_three_layer_conv_part4()\\n\",\"print('Architecture:')\\n\",\"print(model) # printing `nn.Module` shows the architecture of the module.\\n\",\"\\n\",\"acc_hist_part4, _ = train_part345(model, optimizer)\"],\"execution_count\":22,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Architecture:\\n\",\"Sequential(\\n\",\"  (0): Conv2d(3, 32, kernel_size=(5, 5), stride=(1, 1), padding=(2, 2))\\n\",\"  (1): ReLU()\\n\",\"  (2): Conv2d(32, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\\n\",\"  (3): ReLU()\\n\",\"  (4): Flatten()\\n\",\"  (5): Linear(in_features=16384, out_features=10, bias=True)\\n\",\")\\n\",\"Epoch 0, Iteration 0, loss = 2.2960\\n\",\"Checking accuracy on validation set\\n\",\"Got 136 / 1000 correct (13.60)\\n\",\"\\n\",\"Epoch 0, Iteration 100, loss = 1.6666\\n\",\"Checking accuracy on validation set\\n\",\"Got 382 / 1000 correct (38.20)\\n\",\"\\n\",\"Epoch 0, Iteration 200, loss = 1.4597\\n\",\"Checking accuracy on validation set\\n\",\"Got 479 / 1000 correct (47.90)\\n\",\"\\n\",\"Epoch 0, Iteration 300, loss = 1.7122\\n\",\"Checking accuracy on validation set\\n\",\"Got 482 / 1000 correct (48.20)\\n\",\"\\n\",\"Epoch 0, Iteration 400, loss = 1.6089\\n\",\"Checking accuracy on validation set\\n\",\"Got 489 / 1000 correct (48.90)\\n\",\"\\n\",\"Epoch 0, Iteration 500, loss = 1.4318\\n\",\"Checking accuracy on validation set\\n\",\"Got 499 / 1000 correct (49.90)\\n\",\"\\n\",\"Epoch 0, Iteration 600, loss = 1.5030\\n\",\"Checking accuracy on validation set\\n\",\"Got 543 / 1000 correct (54.30)\\n\",\"\\n\",\"Epoch 0, Iteration 700, loss = 1.3412\\n\",\"Checking accuracy on validation set\\n\",\"Got 542 / 1000 correct (54.20)\\n\",\"\\n\",\"Epoch 0, Iteration 765, loss = 1.3171\\n\",\"Checking accuracy on validation set\\n\",\"Got 535 / 1000 correct (53.50)\\n\",\"\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"CM6FuhGPIMCO\"},\"source\":[\"# Part V. ResNet for CIFAR-10\\n\",\"\\n\",\"In this section, you are going to implement [ResNet](https://arxiv.org/abs/1512.03385), one of the state-of-the-art CNN architecture.\\n\",\"Specifically, you are going to implement a variation of ResNet called [PreResNet](https://arxiv.org/abs/1603.05027), which locates activation before each convolutional layer (so called pre-activation).\\n\",\"You are going to first implement a plain building block, residual block, and then bottleneck block for really deep networks.\\n\",\"Finally, you will implement your own ResNet using those blocks.\\n\",\"\\n\",\"Throughout this part, we will follow the PyTorch default weight initialization for conciseness.\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"f8pgYlKN9NLH\"},\"source\":[\"## Plain block\\n\",\"\\n\",\"First, let's implement a plain block without residual connection.\\n\",\"PreResNet has a different order of layers from the previously implemented ones;\\n\",\"BatchNorm and ReLU precedes Conv.\\n\",\"The name of PreResNet comes form this pre-activation architecture.\\n\",\"Here, for downsampling, we don't introduce MaxPool layers explicitly, but use stride 2 in the first Conv layer in the block.\\n\",\"\\n\",\"Concretely, a plain block accepts a feature map of shape $C_{in} \\\\times H_{in} \\\\times W_{out}$ and produces a feature map of shape $C_{out} \\\\times H_{out} \\\\times W_{out}$. If the block performs downsampling, then $W_{out}=W_{in}/2$ and $H_{out}=H_{in}/2$; otherwise $H_{out}=H_{in}$ and $W_{out}=W_{in}$. The plain block consists of the following six layers in order:\\n\",\"\\n\",\"1. Spatial Batch normalization\\n\",\"2. ReLU\\n\",\"3. Convolutional layer with `Cout` 3x3 filters, zero-padding of 1, and stride 2 if downsampling; otherwise stride 1\\n\",\"4. Spatial Batch normalization\\n\",\"5. ReLU\\n\",\"6. Convolutional layer with `Cout` 3x3 filters, with zero-padding of 1\\n\",\"\\n\",\"Implement the `PlainBlock.__init__` function and run the following cell. You should see a message indicating that your implementation is correct.\\n\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"SofEF-vyAekS\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1617456321595,\"user_tz\":-60,\"elapsed\":68697,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"8ee8db36-ae12-4183-bb9e-2c23991b3dd1\"},\"source\":[\"data = torch.zeros(2, 3, 5, 6)\\n\",\"# YOUR_TURN: Impelement PlainBlock.__init__\\n\",\"model = PlainBlock(3, 10)\\n\",\"if list(model(data).shape) == [2, 10, 5, 6]:\\n\",\"  print('The output of PlainBlock without downsampling has a *correct* dimension!')\\n\",\"else:\\n\",\"  print('The output of PlainBlock without downsampling has an *incorrect* dimension! expected:', [2, 10, 5, 6], 'got:', list(model(data).shape))\\n\",\"\\n\",\"data = torch.zeros(2, 3, 5, 6)\\n\",\"# YOUR_TURN: Impelement PlainBlock.__init__\\n\",\"model = PlainBlock(3, 10, downsample=True)\\n\",\"if list(model(data).shape) == [2, 10, 3, 3]:\\n\",\"  print('The output of PlainBlock with downsampling has a *correct* dimension!')\\n\",\"else:\\n\",\"  print('The output of PlainBlock with downsampling has an *incorrect* dimension! expected:', [2, 10, 3, 3], 'got:', list(model(data).shape))\"],\"execution_count\":23,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"The output of PlainBlock without downsampling has a *correct* dimension!\\n\",\"The output of PlainBlock with downsampling has a *correct* dimension!\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"ASV5NdNADo3F\"},\"source\":[\"## Residual block\\n\",\"\\n\",\"Next, let's implement a residual block.\\n\",\"A residual block adds a residual connection to a plain block. Let $\\\\mathcal{F}$ be a plain block; then the residual version  $\\\\mathcal{R}$ of the plain block $\\\\mathcal{F}$ computes:\\n\",\"\\n\",\"$\\\\mathcal{R}(x) = \\\\mathcal{F}(x) + x$\\n\",\"\\n\",\"However, this implementation will only work if the output from the plain block $\\\\mathcal{F}(x)$ has the same shape as the input $x$. Based on the plain block that we implemented above, there are two cases where the output of the plain block can have a different shape than the input:\\n\",\"\\n\",\"1. The number of output channels $C_{out}$ is different from the number of input channels $C_{in}$\\n\",\"2. The plain block $\\\\mathcal{F}$ performs spatial downsampling\\n\",\"\\n\",\"To deal with these cases, we need generalize our definition of the residual block and add a *shortcut connection* $\\\\mathcal{G}$:\\n\",\"\\n\",\"$\\\\mathcal{R}(x) = \\\\mathcal{F}(x) + \\\\mathcal{G}(x)$\\n\",\"\\n\",\"There are three cases for the shortcut connection $\\\\mathcal{G}$:\\n\",\"\\n\",\"1. If $C_{in}=C_{out}$ and $\\\\mathcal{F}$ does not perform downsampling, then $\\\\mathcal{F}(x)$ will have the same shape as $x$, so $\\\\mathcal{G}$ is the identity function: $\\\\mathcal{G}(x) = x$\\n\",\"2. If $C_{in} \\\\neq C_{out}$ and $\\\\mathcal{F}$ does not downsample, then $\\\\mathcal{G}$ is a 1x1 convolution with $C_out$ filters and stride 1.\\n\",\"3. If $\\\\mathcal{F}$ downsamples, then $\\\\mathcal{G}$ is a 1x1 convolution with $C_{out}$ filters and stride 2.\\n\",\"\\n\",\"Implement the `ResidualBlock.__init__` function and run the following cell. You should see a message indicating that your implementation is correct.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"TMJ3-eI3Do3M\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1617456321596,\"user_tz\":-60,\"elapsed\":68688,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"c4a623d2-fad7-4aab-8e6c-d2e99e69f977\"},\"source\":[\"data = torch.zeros(2, 3, 5, 6)\\n\",\"# YOUR_TURN: Impelement ResidualBlock.__init__\\n\",\"model = ResidualBlock(3, 10)\\n\",\"if list(model(data).shape) == [2, 10, 5, 6]:\\n\",\"  print('The output of ResidualBlock without downsampling has a *correct* dimension!')\\n\",\"else:\\n\",\"  print('The output of ResidualBlock without downsampling has an *incorrect* dimension! expected:', [2, 10, 5, 6], 'got:', list(model(data).shape))\\n\",\"\\n\",\"data = torch.zeros(2, 3, 5, 6)\\n\",\"# YOUR_TURN: Impelement ResidualBlock.__init__\\n\",\"model = ResidualBlock(3, 10, downsample=True)\\n\",\"if list(model(data).shape) == [2, 10, 3, 3]:\\n\",\"  print('The output of ResidualBlock with downsampling has a *correct* dimension!')\\n\",\"else:\\n\",\"  print('The output of ResidualBlock with downsampling has an *incorrect* dimension! expected:', [2, 10, 3, 3], 'got:', list(model(data).shape))\"],\"execution_count\":24,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"The output of ResidualBlock without downsampling has a *correct* dimension!\\n\",\"The output of ResidualBlock with downsampling has a *correct* dimension!\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"wrEzQeTBvNso\"},\"source\":[\"## Residual stage\\n\",\"\\n\",\"So far, you implemented micro layers, which consists of several convolutional laters.\\n\",\"To efficiently build a deep neural network, we define a macro layer by repeating the micro layers.\\n\",\"\\n\",\"For your convenience, we provide the implementation in `pytorch_autograd_and_nn.py`.\\n\",\"\\n\",\"```\\n\",\"class ResNetStage(nn.Module):\\n\",\"  def __init__(self, Cin, Cout, num_blocks, downsample=True,\\n\",\"               block=ResidualBlock):\\n\",\"    super().__init__()\\n\",\"    blocks = [block(Cin, Cout, downsample)]\\n\",\"    for _ in range(num_blocks - 1):\\n\",\"      blocks.append(block(Cout, Cout))\\n\",\"    self.net = nn.Sequential(*blocks)\\n\",\"  \\n\",\"  def forward(self, x):\\n\",\"    return self.net(x)\\n\",\"```\\n\",\"\\n\",\"\\n\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"I21i5J3AnbhM\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1617456321596,\"user_tz\":-60,\"elapsed\":68677,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"1d078e74-ca2e-40bd-e73a-9e92f8e3443f\"},\"source\":[\"print('Plain block stage:')\\n\",\"print(ResNetStage(3, 4, 2, block=PlainBlock))\\n\",\"print('Residual block stage:')\\n\",\"print(ResNetStage(3, 4, 2, block=ResidualBlock))\"],\"execution_count\":25,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Plain block stage:\\n\",\"ResNetStage(\\n\",\"  (net): Sequential(\\n\",\"    (0): PlainBlock(\\n\",\"      (net): Sequential(\\n\",\"        (0): BatchNorm2d(3, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\\n\",\"        (1): ReLU()\\n\",\"        (2): Conv2d(3, 4, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1))\\n\",\"        (3): BatchNorm2d(4, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\\n\",\"        (4): ReLU()\\n\",\"        (5): Conv2d(4, 4, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\\n\",\"      )\\n\",\"    )\\n\",\"    (1): PlainBlock(\\n\",\"      (net): Sequential(\\n\",\"        (0): BatchNorm2d(4, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\\n\",\"        (1): ReLU()\\n\",\"        (2): Conv2d(4, 4, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\\n\",\"        (3): BatchNorm2d(4, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\\n\",\"        (4): ReLU()\\n\",\"        (5): Conv2d(4, 4, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\\n\",\"      )\\n\",\"    )\\n\",\"  )\\n\",\")\\n\",\"Residual block stage:\\n\",\"ResNetStage(\\n\",\"  (net): Sequential(\\n\",\"    (0): ResidualBlock(\\n\",\"      (block): PlainBlock(\\n\",\"        (net): Sequential(\\n\",\"          (0): BatchNorm2d(3, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\\n\",\"          (1): ReLU()\\n\",\"          (2): Conv2d(3, 4, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1))\\n\",\"          (3): BatchNorm2d(4, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\\n\",\"          (4): ReLU()\\n\",\"          (5): Conv2d(4, 4, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\\n\",\"        )\\n\",\"      )\\n\",\"      (shortcut): Conv2d(3, 4, kernel_size=(1, 1), stride=(2, 2))\\n\",\"    )\\n\",\"    (1): ResidualBlock(\\n\",\"      (block): PlainBlock(\\n\",\"        (net): Sequential(\\n\",\"          (0): BatchNorm2d(4, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\\n\",\"          (1): ReLU()\\n\",\"          (2): Conv2d(4, 4, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\\n\",\"          (3): BatchNorm2d(4, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\\n\",\"          (4): ReLU()\\n\",\"          (5): Conv2d(4, 4, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\\n\",\"        )\\n\",\"      )\\n\",\"      (shortcut): Identity()\\n\",\"    )\\n\",\"  )\\n\",\")\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"7l3-PNR9mlIb\"},\"source\":[\"## Residual stem\\n\",\"\\n\",\"A \\\"stem\\\" layer is required at the beginning of the network, which increases the number of channels while keeping the other dimensions.\\n\",\"\\n\",\"For your convenience, we provide the implementation in `pytorch_autograd_and_nn.py`.\\n\",\"\\n\",\"\\n\",\"\\n\",\"```\\n\",\"class ResNetStem(nn.Module):\\n\",\"  def __init__(self, Cin=3, Cout=8):\\n\",\"    super().__init__()\\n\",\"    layers = [\\n\",\"        nn.Conv2d(Cin, Cout, kernel_size=3, padding=1, stride=1),\\n\",\"        nn.ReLU(),\\n\",\"    ]\\n\",\"    self.net = nn.Sequential(*layers)\\n\",\"    \\n\",\"  def forward(self, x):\\n\",\"    return self.net(x)\\n\",\"```\\n\",\"\\n\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"UGzh0oVxm2Aw\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1617456321597,\"user_tz\":-60,\"elapsed\":68667,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"33bb8351-2c92-438f-e212-52bcc5259c3b\"},\"source\":[\"data = torch.zeros(2, 3, 5, 6)\\n\",\"model = ResNetStem(3, 10)\\n\",\"if list(model(data).shape) == [2, 10, 5, 6]:\\n\",\"  print('The output of ResNetStem without downsampling has a *correct* dimension!')\\n\",\"else:\\n\",\"  print('The output of ResNetStem without downsampling has an *incorrect* dimension! expected:', [2, 10, 5, 6], 'got:', list(model(data).shape))\"],\"execution_count\":26,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"The output of ResNetStem without downsampling has a *correct* dimension!\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"QGzn4Gp_sYBp\"},\"source\":[\"## ResNet class\\n\",\"\\n\",\"Now, it is time to design the ResNet class using the blocks you implemented above!\\n\",\"\\n\",\"For general applicability, the class will get a dictionary of the architecture specification as an input, and parse it to build a CNN.\\n\",\"\\n\",\"Here we provide a couple of examples of specification;\\n\",\"`networks` is a collection of pre-defined network specifications, where each can be called by `get_resnet(key)`, where key is the name of the network, e.g., `get_resnet('resnet32')` will return a ResNet with 32 layers.\\n\",\"\\n\",\"Each specification consists of multiple tuples which correspond to a macro block (`ResNetStage`), and the values in each tuple implies `(num_in_channels, num_out_channels, num_blocks, do_downsample)`.\\n\",\"\\n\",\"To avoid dependency on the size of the input, ResNet has an average pooling at the end of the convolutional part, such that the size of the input tensor to the linear layer is always `(batch_size, stage_args[-1][1])`.\\n\",\"You may want to add an average pooling layer (`nn.AvgPool2d`), but it requires to know the size of the input.\\n\",\"Can you relax this requirement?\\n\",\"\\n\",\"**Hint**: You can perform average pooling in `forward`.\\n\",\"\\n\",\"Implement `ResNet.__init__` and `ResNet.forward` and train it on CIFAR.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"1iOOBoSgs-0X\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1617456321598,\"user_tz\":-60,\"elapsed\":68658,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}}},\"source\":[\"# example of specifications\\n\",\"networks = {\\n\",\"  'plain32': {\\n\",\"    'block': PlainBlock,\\n\",\"    'stage_args': [\\n\",\"      (8, 8, 5, False),\\n\",\"      (8, 16, 5, True),\\n\",\"      (16, 32, 5, True),\\n\",\"    ]\\n\",\"  },\\n\",\"  'resnet32': {\\n\",\"    'block': ResidualBlock,\\n\",\"    'stage_args': [\\n\",\"      (8, 8, 5, False),\\n\",\"      (8, 16, 5, True),\\n\",\"      (16, 32, 5, True),\\n\",\"    ]\\n\",\"  },\\n\",\"}\\n\",\"\\n\",\"def get_resnet(name):\\n\",\"  # YOUR_TURN: Impelement ResNet.__init__ and ResNet.forward\\n\",\"  return ResNet(**networks[name])\"],\"execution_count\":27,\"outputs\":[]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"uqhp641H0P9Z\"},\"source\":[\"## Train your model!\\n\",\"\\n\",\"Now let's train a few epochs of plain and residual networks with 32 layers on CIFAR.\\n\",\"You will see that deep non-residual networks don't converge well.\\n\",\"\\n\",\"**Caution: This takes a long time!**\\n\",\"\\n\",\"**Disclaimer: The performance of PreResNet-32 you will see here (~ 80%) would be lower than the best performance this model can achieve, because the convergence requires much more training.**\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"hRyYVBn60A58\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1617456714354,\"user_tz\":-60,\"elapsed\":461406,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"8db7e69d-9ffe-4838-f844-1167a5f1151e\"},\"source\":[\"names = ['plain32', 'resnet32']\\n\",\"acc_history_dict = {}\\n\",\"iter_history_dict = {}\\n\",\"for name in names:\\n\",\"  reset_seed(0)\\n\",\"  print(name, '\\\\n')\\n\",\"  model = get_resnet(name)\\n\",\"#   init_module(model)\\n\",\"  \\n\",\"  optimizer = optim.SGD(model.parameters(), lr=1e-2, momentum=.9, weight_decay=1e-4)\\n\",\"\\n\",\"  acc_history, iter_history = train_part345(model, optimizer, epochs=10, schedule=[6, 8], verbose=False)\\n\",\"  acc_history_dict[name] = acc_history\\n\",\"  iter_history_dict[name] = iter_history\"],\"execution_count\":28,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"plain32 \\n\",\"\\n\",\"Epoch 0, Iteration 765, loss = 1.4826\\n\",\"Checking accuracy on validation set\\n\",\"Got 406 / 1000 correct (40.60)\\n\",\"\\n\",\"Epoch 1, Iteration 1531, loss = 1.3971\\n\",\"Checking accuracy on validation set\\n\",\"Got 472 / 1000 correct (47.20)\\n\",\"\\n\",\"Epoch 2, Iteration 2297, loss = 1.1368\\n\",\"Checking accuracy on validation set\\n\",\"Got 528 / 1000 correct (52.80)\\n\",\"\\n\",\"Epoch 3, Iteration 3063, loss = 1.0539\\n\",\"Checking accuracy on validation set\\n\",\"Got 565 / 1000 correct (56.50)\\n\",\"\\n\",\"Epoch 4, Iteration 3829, loss = 1.4275\\n\",\"Checking accuracy on validation set\\n\",\"Got 547 / 1000 correct (54.70)\\n\",\"\\n\",\"Epoch 5, Iteration 4595, loss = 1.0718\\n\",\"Checking accuracy on validation set\\n\",\"Got 598 / 1000 correct (59.80)\\n\",\"\\n\",\"lr decay from 0.01 to 0.001\\n\",\"Epoch 6, Iteration 5361, loss = 0.8453\\n\",\"Checking accuracy on validation set\\n\",\"Got 695 / 1000 correct (69.50)\\n\",\"\\n\",\"Epoch 7, Iteration 6127, loss = 0.8736\\n\",\"Checking accuracy on validation set\\n\",\"Got 694 / 1000 correct (69.40)\\n\",\"\\n\",\"lr decay from 0.001 to 0.0001\\n\",\"Epoch 8, Iteration 6893, loss = 0.8312\\n\",\"Checking accuracy on validation set\\n\",\"Got 702 / 1000 correct (70.20)\\n\",\"\\n\",\"Epoch 9, Iteration 7659, loss = 0.8707\\n\",\"Checking accuracy on validation set\\n\",\"Got 703 / 1000 correct (70.30)\\n\",\"\\n\",\"resnet32 \\n\",\"\\n\",\"Epoch 0, Iteration 765, loss = 1.2323\\n\",\"Checking accuracy on validation set\\n\",\"Got 551 / 1000 correct (55.10)\\n\",\"\\n\",\"Epoch 1, Iteration 1531, loss = 1.1267\\n\",\"Checking accuracy on validation set\\n\",\"Got 550 / 1000 correct (55.00)\\n\",\"\\n\",\"Epoch 2, Iteration 2297, loss = 0.9909\\n\",\"Checking accuracy on validation set\\n\",\"Got 642 / 1000 correct (64.20)\\n\",\"\\n\",\"Epoch 3, Iteration 3063, loss = 0.6681\\n\",\"Checking accuracy on validation set\\n\",\"Got 702 / 1000 correct (70.20)\\n\",\"\\n\",\"Epoch 4, Iteration 3829, loss = 0.8296\\n\",\"Checking accuracy on validation set\\n\",\"Got 728 / 1000 correct (72.80)\\n\",\"\\n\",\"Epoch 5, Iteration 4595, loss = 0.6406\\n\",\"Checking accuracy on validation set\\n\",\"Got 771 / 1000 correct (77.10)\\n\",\"\\n\",\"lr decay from 0.01 to 0.001\\n\",\"Epoch 6, Iteration 5361, loss = 0.3877\\n\",\"Checking accuracy on validation set\\n\",\"Got 806 / 1000 correct (80.60)\\n\",\"\\n\",\"Epoch 7, Iteration 6127, loss = 0.5694\\n\",\"Checking accuracy on validation set\\n\",\"Got 807 / 1000 correct (80.70)\\n\",\"\\n\",\"lr decay from 0.001 to 0.0001\\n\",\"Epoch 8, Iteration 6893, loss = 0.6080\\n\",\"Checking accuracy on validation set\\n\",\"Got 818 / 1000 correct (81.80)\\n\",\"\\n\",\"Epoch 9, Iteration 7659, loss = 0.6245\\n\",\"Checking accuracy on validation set\\n\",\"Got 822 / 1000 correct (82.20)\\n\",\"\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"-u89CIFfzWWR\",\"colab\":{\"base_uri\":\"https://localhost:8080/\",\"height\":294},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1617456714359,\"user_tz\":-60,\"elapsed\":461400,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"15b6891c-18c1-4190-c0fb-5cb424787a65\"},\"source\":[\"plt.title('Val accuracies')\\n\",\"for name in names:\\n\",\"  plt.plot(iter_history_dict[name], acc_history_dict[name], '-o')\\n\",\"plt.legend(names, loc='upper left')\\n\",\"plt.xlabel('iterations')\\n\",\"plt.ylabel('accuracy')\\n\",\"plt.gcf().set_size_inches(9, 4)\\n\",\"plt.show()\"],\"execution_count\":29,\"outputs\":[{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 648x288 with 1 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"7Z31mvHGQT3y\"},\"source\":[\"## Residual bottleneck block\\n\",\"\\n\",\"A bottleneck block is often useful for better efficiency, especially when importing a model to mobile devices.\\n\",\"The residual bottleneck block is similar to the standard residual block, but the plain block part has a different architecture:\\n\",\"it consists of 3 convolutional layers, and the first two convolutional layers have a smaller number of channels.\\n\",\"\\n\",\"Here is the specification of the bottleneck block:\\n\",\"\\n\",\"1. Spatial Batch normalization\\n\",\"2. ReLU\\n\",\"3. Convolutional layer with `Cout // 4` 1x1 filters, stride 2 if downsampling; otherwise stride 1\\n\",\"4. Spatial Batch normalization\\n\",\"5. ReLU\\n\",\"6. Convolutional layer with `Cout // 4` 3x3 filters, with zero-padding of 1\\n\",\"7. Spatial Batch normalization\\n\",\"8. ReLU\\n\",\"9. Convolutional layer with `Cout` 1x1 filters\\n\",\"\\n\",\"Implement `ResidualBottleneckBlock.__init__` and don't forget to add the residual connection!\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"vqETnXH5QT37\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1617456714360,\"user_tz\":-60,\"elapsed\":461389,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"909ef3f1-aeec-48ab-8f3e-0833c2402b25\"},\"source\":[\"data = torch.zeros(2, 3, 5, 6)\\n\",\"model = ResidualBottleneckBlock(3, 10)\\n\",\"if list(model(data).shape) == [2, 10, 5, 6]:\\n\",\"  print('The output of ResidualBlock without downsampling has a *correct* dimension!')\\n\",\"else:\\n\",\"  print('The output of ResidualBlock without downsampling has an *incorrect* dimension! expected:', [2, 10, 5, 6], 'got:', list(model(data).shape))\\n\",\"\\n\",\"data = torch.zeros(2, 3, 5, 6)\\n\",\"model = ResidualBottleneckBlock(3, 10, downsample=True)\\n\",\"if list(model(data).shape) == [2, 10, 3, 3]:\\n\",\"  print('The output of ResidualBlock with downsampling has a *correct* dimension!')\\n\",\"else:\\n\",\"  print('The output of ResidualBlock with downsampling has an *incorrect* dimension! expected:', [2, 10, 3, 3], 'got:', list(model(data).shape))\"],\"execution_count\":30,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"The output of ResidualBlock without downsampling has a *correct* dimension!\\n\",\"The output of ResidualBlock with downsampling has a *correct* dimension!\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"QnRc5hiHudMP\"},\"source\":[\"By running the following script, you can check the architecture of ResNet-47 with bottlenecks.\\n\",\"\\n\",\"Caution: it is long!\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"md6xmG-Aucrx\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1617456714365,\"user_tz\":-60,\"elapsed\":461384,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"9b6acf46-7b91-416d-b556-f4c35395d76e\"},\"source\":[\"# example of specification\\n\",\"networks.update({\\n\",\"  'resnet47': {\\n\",\"    'block': ResidualBottleneckBlock,\\n\",\"    'stage_args': [\\n\",\"      (32, 32, 5, False),\\n\",\"      (32, 64, 5, True),\\n\",\"      (64, 128, 5, True),\\n\",\"    ],\\n\",\"  },\\n\",\"})\\n\",\"\\n\",\"print(get_resnet('resnet47'))\"],\"execution_count\":31,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"ResNet(\\n\",\"  (cnn): Sequential(\\n\",\"    (0): ResNetStem(\\n\",\"      (net): Sequential(\\n\",\"        (0): Conv2d(3, 8, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\\n\",\"        (1): ReLU()\\n\",\"      )\\n\",\"    )\\n\",\"    (1): ResNetStage(\\n\",\"      (net): Sequential(\\n\",\"        (0): ResidualBottleneckBlock(\\n\",\"          (block): Sequential(\\n\",\"            (0): BatchNorm2d(32, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\\n\",\"            (1): ReLU()\\n\",\"            (2): Conv2d(32, 8, kernel_size=(1, 1), stride=(1, 1))\\n\",\"            (3): BatchNorm2d(8, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\\n\",\"            (4): ReLU()\\n\",\"            (5): Conv2d(8, 8, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\\n\",\"            (6): BatchNorm2d(8, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\\n\",\"            (7): ReLU()\\n\",\"            (8): Conv2d(8, 32, kernel_size=(1, 1), stride=(1, 1))\\n\",\"          )\\n\",\"          (shortcut): Identity()\\n\",\"        )\\n\",\"        (1): ResidualBottleneckBlock(\\n\",\"          (block): Sequential(\\n\",\"            (0): BatchNorm2d(32, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\\n\",\"            (1): ReLU()\\n\",\"            (2): Conv2d(32, 8, kernel_size=(1, 1), stride=(1, 1))\\n\",\"            (3): BatchNorm2d(8, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\\n\",\"            (4): ReLU()\\n\",\"            (5): Conv2d(8, 8, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\\n\",\"            (6): BatchNorm2d(8, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\\n\",\"            (7): ReLU()\\n\",\"            (8): Conv2d(8, 32, kernel_size=(1, 1), stride=(1, 1))\\n\",\"          )\\n\",\"          (shortcut): Identity()\\n\",\"        )\\n\",\"        (2): ResidualBottleneckBlock(\\n\",\"          (block): Sequential(\\n\",\"            (0): BatchNorm2d(32, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\\n\",\"            (1): ReLU()\\n\",\"            (2): Conv2d(32, 8, kernel_size=(1, 1), stride=(1, 1))\\n\",\"            (3): BatchNorm2d(8, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\\n\",\"            (4): ReLU()\\n\",\"            (5): Conv2d(8, 8, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\\n\",\"            (6): BatchNorm2d(8, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\\n\",\"            (7): ReLU()\\n\",\"            (8): Conv2d(8, 32, kernel_size=(1, 1), stride=(1, 1))\\n\",\"          )\\n\",\"          (shortcut): Identity()\\n\",\"        )\\n\",\"        (3): ResidualBottleneckBlock(\\n\",\"          (block): Sequential(\\n\",\"            (0): BatchNorm2d(32, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\\n\",\"            (1): ReLU()\\n\",\"            (2): Conv2d(32, 8, kernel_size=(1, 1), stride=(1, 1))\\n\",\"            (3): BatchNorm2d(8, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\\n\",\"            (4): ReLU()\\n\",\"            (5): Conv2d(8, 8, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\\n\",\"            (6): BatchNorm2d(8, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\\n\",\"            (7): ReLU()\\n\",\"            (8): Conv2d(8, 32, kernel_size=(1, 1), stride=(1, 1))\\n\",\"          )\\n\",\"          (shortcut): Identity()\\n\",\"        )\\n\",\"        (4): ResidualBottleneckBlock(\\n\",\"          (block): Sequential(\\n\",\"            (0): BatchNorm2d(32, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\\n\",\"            (1): ReLU()\\n\",\"            (2): Conv2d(32, 8, kernel_size=(1, 1), stride=(1, 1))\\n\",\"            (3): BatchNorm2d(8, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\\n\",\"            (4): ReLU()\\n\",\"            (5): Conv2d(8, 8, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\\n\",\"            (6): BatchNorm2d(8, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\\n\",\"            (7): ReLU()\\n\",\"            (8): Conv2d(8, 32, kernel_size=(1, 1), stride=(1, 1))\\n\",\"          )\\n\",\"          (shortcut): Identity()\\n\",\"        )\\n\",\"      )\\n\",\"    )\\n\",\"    (2): ResNetStage(\\n\",\"      (net): Sequential(\\n\",\"        (0): ResidualBottleneckBlock(\\n\",\"          (block): Sequential(\\n\",\"            (0): BatchNorm2d(32, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\\n\",\"            (1): ReLU()\\n\",\"            (2): Conv2d(32, 16, kernel_size=(1, 1), stride=(2, 2))\\n\",\"            (3): BatchNorm2d(16, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\\n\",\"            (4): ReLU()\\n\",\"            (5): Conv2d(16, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\\n\",\"            (6): BatchNorm2d(16, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\\n\",\"            (7): ReLU()\\n\",\"            (8): Conv2d(16, 64, kernel_size=(1, 1), stride=(1, 1))\\n\",\"          )\\n\",\"          (shortcut): Conv2d(32, 64, kernel_size=(1, 1), stride=(2, 2))\\n\",\"        )\\n\",\"        (1): ResidualBottleneckBlock(\\n\",\"          (block): Sequential(\\n\",\"            (0): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\\n\",\"            (1): ReLU()\\n\",\"            (2): Conv2d(64, 16, kernel_size=(1, 1), stride=(1, 1))\\n\",\"            (3): BatchNorm2d(16, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\\n\",\"            (4): ReLU()\\n\",\"            (5): Conv2d(16, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\\n\",\"            (6): BatchNorm2d(16, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\\n\",\"            (7): ReLU()\\n\",\"            (8): Conv2d(16, 64, kernel_size=(1, 1), stride=(1, 1))\\n\",\"          )\\n\",\"          (shortcut): Identity()\\n\",\"        )\\n\",\"        (2): ResidualBottleneckBlock(\\n\",\"          (block): Sequential(\\n\",\"            (0): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\\n\",\"            (1): ReLU()\\n\",\"            (2): Conv2d(64, 16, kernel_size=(1, 1), stride=(1, 1))\\n\",\"            (3): BatchNorm2d(16, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\\n\",\"            (4): ReLU()\\n\",\"            (5): Conv2d(16, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\\n\",\"            (6): BatchNorm2d(16, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\\n\",\"            (7): ReLU()\\n\",\"            (8): Conv2d(16, 64, kernel_size=(1, 1), stride=(1, 1))\\n\",\"          )\\n\",\"          (shortcut): Identity()\\n\",\"        )\\n\",\"        (3): ResidualBottleneckBlock(\\n\",\"          (block): Sequential(\\n\",\"            (0): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\\n\",\"            (1): ReLU()\\n\",\"            (2): Conv2d(64, 16, kernel_size=(1, 1), stride=(1, 1))\\n\",\"            (3): BatchNorm2d(16, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\\n\",\"            (4): ReLU()\\n\",\"            (5): Conv2d(16, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\\n\",\"            (6): BatchNorm2d(16, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\\n\",\"            (7): ReLU()\\n\",\"            (8): Conv2d(16, 64, kernel_size=(1, 1), stride=(1, 1))\\n\",\"          )\\n\",\"          (shortcut): Identity()\\n\",\"        )\\n\",\"        (4): ResidualBottleneckBlock(\\n\",\"          (block): Sequential(\\n\",\"            (0): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\\n\",\"            (1): ReLU()\\n\",\"            (2): Conv2d(64, 16, kernel_size=(1, 1), stride=(1, 1))\\n\",\"            (3): BatchNorm2d(16, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\\n\",\"            (4): ReLU()\\n\",\"            (5): Conv2d(16, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\\n\",\"            (6): BatchNorm2d(16, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\\n\",\"            (7): ReLU()\\n\",\"            (8): Conv2d(16, 64, kernel_size=(1, 1), stride=(1, 1))\\n\",\"          )\\n\",\"          (shortcut): Identity()\\n\",\"        )\\n\",\"      )\\n\",\"    )\\n\",\"    (3): ResNetStage(\\n\",\"      (net): Sequential(\\n\",\"        (0): ResidualBottleneckBlock(\\n\",\"          (block): Sequential(\\n\",\"            (0): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\\n\",\"            (1): ReLU()\\n\",\"            (2): Conv2d(64, 32, kernel_size=(1, 1), stride=(2, 2))\\n\",\"            (3): BatchNorm2d(32, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\\n\",\"            (4): ReLU()\\n\",\"            (5): Conv2d(32, 32, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\\n\",\"            (6): BatchNorm2d(32, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\\n\",\"            (7): ReLU()\\n\",\"            (8): Conv2d(32, 128, kernel_size=(1, 1), stride=(1, 1))\\n\",\"          )\\n\",\"          (shortcut): Conv2d(64, 128, kernel_size=(1, 1), stride=(2, 2))\\n\",\"        )\\n\",\"        (1): ResidualBottleneckBlock(\\n\",\"          (block): Sequential(\\n\",\"            (0): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\\n\",\"            (1): ReLU()\\n\",\"            (2): Conv2d(128, 32, kernel_size=(1, 1), stride=(1, 1))\\n\",\"            (3): BatchNorm2d(32, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\\n\",\"            (4): ReLU()\\n\",\"            (5): Conv2d(32, 32, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\\n\",\"            (6): BatchNorm2d(32, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\\n\",\"            (7): ReLU()\\n\",\"            (8): Conv2d(32, 128, kernel_size=(1, 1), stride=(1, 1))\\n\",\"          )\\n\",\"          (shortcut): Identity()\\n\",\"        )\\n\",\"        (2): ResidualBottleneckBlock(\\n\",\"          (block): Sequential(\\n\",\"            (0): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\\n\",\"            (1): ReLU()\\n\",\"            (2): Conv2d(128, 32, kernel_size=(1, 1), stride=(1, 1))\\n\",\"            (3): BatchNorm2d(32, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\\n\",\"            (4): ReLU()\\n\",\"            (5): Conv2d(32, 32, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\\n\",\"            (6): BatchNorm2d(32, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\\n\",\"            (7): ReLU()\\n\",\"            (8): Conv2d(32, 128, kernel_size=(1, 1), stride=(1, 1))\\n\",\"          )\\n\",\"          (shortcut): Identity()\\n\",\"        )\\n\",\"        (3): ResidualBottleneckBlock(\\n\",\"          (block): Sequential(\\n\",\"            (0): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\\n\",\"            (1): ReLU()\\n\",\"            (2): Conv2d(128, 32, kernel_size=(1, 1), stride=(1, 1))\\n\",\"            (3): BatchNorm2d(32, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\\n\",\"            (4): ReLU()\\n\",\"            (5): Conv2d(32, 32, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\\n\",\"            (6): BatchNorm2d(32, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\\n\",\"            (7): ReLU()\\n\",\"            (8): Conv2d(32, 128, kernel_size=(1, 1), stride=(1, 1))\\n\",\"          )\\n\",\"          (shortcut): Identity()\\n\",\"        )\\n\",\"        (4): ResidualBottleneckBlock(\\n\",\"          (block): Sequential(\\n\",\"            (0): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\\n\",\"            (1): ReLU()\\n\",\"            (2): Conv2d(128, 32, kernel_size=(1, 1), stride=(1, 1))\\n\",\"            (3): BatchNorm2d(32, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\\n\",\"            (4): ReLU()\\n\",\"            (5): Conv2d(32, 32, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\\n\",\"            (6): BatchNorm2d(32, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\\n\",\"            (7): ReLU()\\n\",\"            (8): Conv2d(32, 128, kernel_size=(1, 1), stride=(1, 1))\\n\",\"          )\\n\",\"          (shortcut): Identity()\\n\",\"        )\\n\",\"      )\\n\",\"    )\\n\",\"  )\\n\",\"  (fc): Linear(in_features=128, out_features=10, bias=True)\\n\",\")\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"f8jUGXtx8DI_\"},\"source\":[\"# Final checks\\n\",\"Make sure you run \\\"Runtime -> Restart and run all...\\\" to double check PyTorch Autograd and NN before submitting.\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"OaEWseW9Vo5a\"},\"source\":[\"# Save results\\n\",\"\\n\",\"Once all the cells are completed, save the loss history of all the parts for submission.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"T-3b0miHWBqL\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1617456714367,\"user_tz\":-60,\"elapsed\":461384,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}}},\"source\":[\"acc_history_dict['acc_hist_part2'] = acc_hist_part2 \\n\",\"acc_history_dict['acc_hist_part3'] = acc_hist_part3 \\n\",\"acc_history_dict['acc_hist_part4'] = acc_hist_part4 \\n\",\"submission_path = os.path.join(GOOGLE_DRIVE_PATH, 'pytorch_autograd_and_nn.pkl')\\n\",\"dump_results(acc_history_dict, submission_path)\"],\"execution_count\":32,\"outputs\":[]}]}"
  },
  {
    "path": "eecs498-007/A4/pytorch_autograd_and_nn.py",
    "content": "\"\"\"\nImplements pytorch autograd and nn in PyTorch.\nWARNING: you SHOULD NOT use \".to()\" or \".cuda()\" in each implementation block.\n\"\"\"\n\nimport torch\nimport torch.nn as nn\nfrom a4_helper import *\nimport torch.nn.functional as F\nimport torch.optim as optim\n\ndef hello():\n  \"\"\"\n  This is a sample function that we will try to import and run to ensure that\n  our environment is correctly set up on Google Colab.\n  \"\"\"\n  print('Hello from pytorch_autograd_and_nn.py!')\n\n\n\n################################################################################\n# Part II. Barebones PyTorch                         \n################################################################################\n# Before we start, we define the flatten function for your convenience.\ndef flatten(x, start_dim=1, end_dim=-1):\n  return x.flatten(start_dim=start_dim, end_dim=end_dim)\n\n\ndef three_layer_convnet(x, params):\n  \"\"\"\n  Performs the forward pass of a three-layer convolutional network with the\n  architecture defined above.\n\n  Inputs:\n  - x: A PyTorch Tensor of shape (N, C, H, W) giving a minibatch of images\n  - params: A list of PyTorch Tensors giving the weights and biases for the\n    network; should contain the following:\n    - conv_w1: PyTorch Tensor of shape (channel_1, C, KH1, KW1) giving weights\n      for the first convolutional layer\n    - conv_b1: PyTorch Tensor of shape (channel_1,) giving biases for the first\n      convolutional layer\n    - conv_w2: PyTorch Tensor of shape (channel_2, channel_1, KH2, KW2) giving\n      weights for the second convolutional layer\n    - conv_b2: PyTorch Tensor of shape (channel_2,) giving biases for the second\n      convolutional layer\n    - fc_w: PyTorch Tensor giving weights for the fully-connected layer. Can you\n      figure out what the shape should be?\n    - fc_b: PyTorch Tensor giving biases for the fully-connected layer. Can you\n      figure out what the shape should be?\n  \n  Returns:\n  - scores: PyTorch Tensor of shape (N, C) giving classification scores for x\n  \"\"\"\n  conv_w1, conv_b1, conv_w2, conv_b2, fc_w, fc_b = params\n  scores = None\n  ##############################################################################\n  # TODO: Implement the forward pass for the three-layer ConvNet.              \n  # The network have the following architecture:                               \n  # 1. Conv layer (with bias) with 32 5x5 filters, with zero-padding of 2     \n  #   2. ReLU                                                                  \n  # 3. Conv layer (with bias) with 16 3x3 filters, with zero-padding of 1     \n  # 4. ReLU                                                                   \n  # 5. Fully-connected layer (with bias) to compute scores for 10 classes    \n  # Hint: F.linear, F.conv2d, F.relu, flatten (implemented above)                                   \n  ##############################################################################\n  # Replace \"pass\" statement with your code\n\n  # (1) and (2): Conv layer + ReLU\n  x = F.conv2d(x, conv_w1, bias=conv_b1, padding=2)\n  x = F.relu(x)\n  # (3) and (4): Conv layer + ReLU\n  x = F.conv2d(x, conv_w2, bias=conv_b2, padding=1)\n  x = F.relu(x)\n  # Flatten 'channels', 'height' and 'width' of \"x\" (i.e. keep only batches dim [N]).\n  x = flatten(x)\n  # (5): FC layer.\n  scores = F.linear(x, fc_w, bias=fc_b)\n\n  ##############################################################################\n  #                                 END OF YOUR CODE                             \n  ##############################################################################\n  return scores\n\n\ndef initialize_three_layer_conv_part2(dtype=torch.float, device='cpu'):\n  '''\n  Initializes weights for the three_layer_convnet for part II\n  Inputs:\n    - dtype: A torch data type object; all computations will be performed using\n        this datatype. float is faster but less accurate, so you should use\n        double for numeric gradient checking.\n      - device: device to use for computation. 'cpu' or 'cuda'\n  '''\n  # Input/Output dimenssions\n  C, H, W = 3, 32, 32\n  num_classes = 10\n\n  # Hidden layer channel and kernel sizes\n  channel_1 = 32\n  channel_2 = 16\n  kernel_size_1 = 5\n  kernel_size_2 = 3\n\n  # Initialize the weights\n  conv_w1 = None\n  conv_b1 = None\n  conv_w2 = None\n  conv_b2 = None\n  fc_w = None\n  fc_b = None\n\n  ##############################################################################\n  # TODO: Define and initialize the parameters of a three-layer ConvNet           \n  # using nn.init.kaiming_normal_. You should initialize your bias vectors    \n  # using the zero_weight function.                         \n  # You are given all the necessary variables above for initializing weights. \n  ##############################################################################\n  # Replace \"pass\" statement with your code\n\n  # \"conv1_shape\" is a 4-D tensor of shape (out_channels, in_channels, kH, kW).\n  conv1_shape = (channel_1, C, kernel_size_1, kernel_size_1)\n  conv_w1 = nn.init.kaiming_normal_(torch.empty(conv1_shape, dtype=dtype, device=device))\n  # \"conv_b1\" is a 1-D tensor of shape (out_channels,)\n  conv_b1 = nn.init.zeros_(torch.empty(conv1_shape[0], dtype=dtype, device=device))\n  # Compute Conv1 layer's output height/width. This is need for next operations.\n  # Conv1 output height/width = 1 + (H - k1 + 2*(padding_conv1)) / stride_conv1\n  #                           = 1 + (H - k1 + 2*2) / 1\n  # That is, Conv1 output is a 3-D tensor of shape (channel_1, HW_1, HW_1)\n  # Note that, the batch size is not mentioned and \"output's height\" = \"output's width\".\n  HW_1 = 1 + (H - kernel_size_1 + 2*2)\n\n  # Compute \"conv_w2\" and \"conv_b2\" with the same way as for conv1 parameters.\n  conv2_shape = (channel_2, channel_1, kernel_size_2, kernel_size_2)\n  conv_w2 = nn.init.kaiming_normal_(torch.empty(conv2_shape, dtype=dtype, device=device))\n  conv_b2 = nn.init.zeros_(torch.empty(conv2_shape[0], dtype=dtype, device=device))\n  # Conv2 output height/width = 1 + (HW_1 - k2 + 2*(padding_conv2)) / stride_conv2\n  #                           = 1 + (HW_1 - k2 + 2*1) / 1\n  # That is, Conv2 output is a 3-D tensor of shape (channel_2, HW_2, HW_2)\n  HW_2 = 1 + (HW_1 - kernel_size_2 + 2)\n\n  fc_shape = (num_classes, channel_2 * HW_2 * HW_2)\n  fc_w = nn.init.kaiming_normal_(torch.empty(fc_shape, dtype=dtype, device=device))\n  fc_b = nn.init.zeros_(torch.empty(fc_shape[0], dtype=dtype, device=device))\n\n  # Mark all weight and bias tensors as trainable (i.e. Requires gradients).\n  for tensor in [conv_w1, conv_b1, conv_w2, conv_b2, fc_w, fc_b]:\n    tensor.requires_grad = True\n\n  ##############################################################################\n  #                                 END OF YOUR CODE                            \n  ##############################################################################\n  return [conv_w1, conv_b1, conv_w2, conv_b2, fc_w, fc_b]\n\n\n\n\n################################################################################\n# Part III. PyTorch Module API                         \n################################################################################\n\nclass ThreeLayerConvNet(nn.Module):\n  def __init__(self, in_channel, channel_1, channel_2, num_classes):\n    super().__init__()\n    ############################################################################\n    # TODO: Set up the layers you need for a three-layer ConvNet with the       \n    # architecture defined below. You should initialize the weight  of the\n    # model using Kaiming normal initialization, and zero out the bias vectors.     \n    #                                       \n    # The network architecture should be the same as in Part II:          \n  #   1. Convolutional layer with channel_1 5x5 filters with zero-padding of 2  \n    #   2. ReLU                                   \n    #   3. Convolutional layer with channel_2 3x3 filters with zero-padding of 1\n    #   4. ReLU                                   \n    #   5. Fully-connected layer to num_classes classes               \n    #                                       \n    # We assume that the size of the input of this network is `H = W = 32`, and   \n    # there is no pooing; this information is required when computing the number  \n    # of input channels in the last fully-connected layer.              \n    #                                         \n    # HINT: nn.Conv2d, nn.init.kaiming_normal_, nn.init.zeros_            \n    ############################################################################\n    # Replace \"pass\" statement with your code\n    \n    # Define the 1st Conv layer.\n    # Input: Tensor of shape (in_channel, 32, 32)\n    # Output: Tensor of shape (channel_1, 32, 32)\n    self.conv1 = nn.Conv2d(in_channel, channel_1, kernel_size=5, padding=2)\n    # Initialize Conv1 layer's weights and biases.\n    nn.init.kaiming_normal_(self.conv1.weight)\n    nn.init.zeros_(self.conv1.bias)\n\n    # Define the 2nd Conv layer.\n    # Input: Tensor of shape (channel_1, 32, 32)\n    # Output: Tensor of shape (channel_2, 32, 32)\n    self.conv2 = nn.Conv2d(channel_1, channel_2, kernel_size=3, padding=1)\n    # Initialize Conv2 layer's weights and biases.\n    nn.init.kaiming_normal_(self.conv2.weight)\n    nn.init.zeros_(self.conv2.bias)\n\n    # Define the Fully-connected layer.\n    self.fc = nn.Linear(channel_2*32*32, num_classes)\n    # Initialize FC layer's weights and biases.\n    nn.init.kaiming_normal_(self.fc.weight)\n    nn.init.zeros_(self.fc.bias)\n\n    ############################################################################\n    #                           END OF YOUR CODE                            \n    ############################################################################\n\n  def forward(self, x):\n    scores = None\n    ############################################################################\n    # TODO: Implement the forward function for a 3-layer ConvNet. you      \n    # should use the layers you defined in __init__ and specify the       \n    # connectivity of those layers in forward()   \n    # Hint: flatten (implemented at the start of part II)                          \n    ############################################################################\n    # Replace \"pass\" statement with your code\n\n    x = F.relu(self.conv1(x))\n    x = F.relu(self.conv2(x))\n    x = flatten(x)\n    scores = self.fc(x)\n\n    ############################################################################\n    #                            END OF YOUR CODE                          \n    ############################################################################\n    return scores\n\n\ndef initialize_three_layer_conv_part3():\n  '''\n  Instantiates a ThreeLayerConvNet model and a corresponding optimizer for part III\n  '''\n\n  # Parameters for ThreeLayerConvNet\n  C = 3\n  num_classes = 10\n\n  channel_1 = 32\n  channel_2 = 16\n\n  # Parameters for optimizer\n  learning_rate = 3e-3\n  weight_decay = 1e-4\n\n  model = None\n  optimizer = None\n  ##############################################################################\n  # TODO: Instantiate ThreeLayerConvNet model and a corresponding optimizer.     \n  # Use the above mentioned variables for setting the parameters.                \n  # You should train the model using stochastic gradient descent without       \n  # momentum, with L2 weight decay of 1e-4.                    \n  ##############################################################################\n  # Replace \"pass\" statement with your code\n\n  model = ThreeLayerConvNet(C, channel_1, channel_2, num_classes)\n\n  optimizer = optim.SGD(model.parameters(), lr=learning_rate, weight_decay=weight_decay)\n\n  ##############################################################################\n  #                                 END OF YOUR CODE                            \n  ##############################################################################\n  return model, optimizer\n\n\n################################################################################\n# Part IV. PyTorch Sequential API                        \n################################################################################\n\n# Before we start, We need to wrap `flatten` function in a module in order to stack it in `nn.Sequential`.\n# As of 1.3.0, PyTorch supports `nn.Flatten`, so this is not required in the latest version.\n# However, let's use the following `Flatten` class for backward compatibility for now.\nclass Flatten(nn.Module):\n  def forward(self, x):\n    return flatten(x)\n\n\ndef initialize_three_layer_conv_part4():\n  '''\n  Instantiates a ThreeLayerConvNet model and a corresponding optimizer for part IV\n  '''\n  # Input/Output dimenssions\n  C, H, W = 3, 32, 32\n  num_classes = 10\n\n  # Hidden layer channel and kernel sizes\n  channel_1 = 32\n  channel_2 = 16\n  kernel_size_1 = 5\n  pad_size_1 = 2\n  kernel_size_2 = 3\n  pad_size_2 = 1\n\n  # Parameters for optimizer\n  learning_rate = 1e-2\n  weight_decay = 1e-4\n  momentum = 0.5\n\n  model = None\n  optimizer = None\n  ##################################################################################\n  # TODO: Rewrite the 3-layer ConvNet with bias from Part III with Sequential API and \n  # a corresponding optimizer.\n  # You don't have to re-initialize your weight matrices and bias vectors.  \n  # Here you should use `nn.Sequential` to define a three-layer ConvNet with:\n  #   1. Convolutional layer (with bias) with 32 5x5 filters, with zero-padding of 2 \n  #   2. ReLU                                      \n  #   3. Convolutional layer (with bias) with 16 3x3 filters, with zero-padding of 1 \n  #   4. ReLU                                      \n  #   5. Fully-connected layer (with bias) to compute scores for 10 classes        \n  #                                            \n  # You should optimize your model using stochastic gradient descent with Nesterov   \n  # momentum 0.5, with L2 weight decay of 1e-4 as given in the variables above.   \n  # Hint: nn.Sequential, Flatten (implemented at the start of Part IV)   \n  ####################################################################################\n  # Replace \"pass\" statement with your code\n\n  model = nn.Sequential(\n    nn.Conv2d(C, channel_1, kernel_size_1, padding=pad_size_1),\n    nn.ReLU(),\n    nn.Conv2d(channel_1, channel_2, kernel_size_2, padding=pad_size_2),\n    nn.ReLU(),\n    Flatten(),\n    nn.Linear(channel_2 * H * W, num_classes)\n  )\n\n  optimizer = optim.SGD(model.parameters(), lr=learning_rate,\n                        weight_decay=weight_decay, momentum=momentum, nesterov=True)\n\n  ################################################################################\n  #                                 END OF YOUR CODE                             \n  ################################################################################\n  return model, optimizer\n\n\n################################################################################\n# Part V. ResNet for CIFAR-10                        \n################################################################################\n\nclass PlainBlock(nn.Module):\n  def __init__(self, Cin, Cout, downsample=False):\n    super().__init__()\n\n    self.net = None\n    ############################################################################\n    # TODO: Implement PlainBlock.                                             \n    # Hint: Wrap your layers by nn.Sequential() to output a single module.     \n    #       You don't have use OrderedDict.                                    \n    # Inputs:                                                                  \n    # - Cin: number of input channels                                          \n    # - Cout: number of output channels                                        \n    # - downsample: add downsampling (a conv with stride=2) if True            \n    # Store the result in self.net.                                            \n    ############################################################################\n    # Replace \"pass\" statement with your code\n\n    self.net = nn.Sequential(\n      nn.BatchNorm2d(Cin),\n      nn.ReLU(),\n      nn.Conv2d(Cin, Cout, 3, stride=(2 if downsample else 1), padding=1),\n      nn.BatchNorm2d(Cout),\n      nn.ReLU(),\n      nn.Conv2d(Cout, Cout, 3, stride=1, padding=1)\n    )\n\n    ############################################################################\n    #                                 END OF YOUR CODE                         #\n    ############################################################################\n\n  def forward(self, x):\n    return self.net(x)\n\n\nclass ResidualBlock(nn.Module):\n  def __init__(self, Cin, Cout, downsample=False):\n    super().__init__()\n\n    self.block = None # F\n    self.shortcut = None # G\n    ############################################################################\n    # TODO: Implement residual block using plain block. Hint: nn.Identity()    #\n    # Inputs:                                                                  #\n    # - Cin: number of input channels                                          #\n    # - Cout: number of output channels                                        #\n    # - downsample: add downsampling (a conv with stride=2) if True            #\n    # Store the main block in self.block and the shortcut in self.shortcut.    #\n    ############################################################################\n    # Replace \"pass\" statement with your code\n\n    self.block = PlainBlock(Cin, Cout, downsample)\n\n    if not downsample:\n      if Cin == Cout:\n        self.shortcut = nn.Identity()\n      else:\n        self.shortcut = nn.Conv2d(Cin, Cout, 1, stride=1, padding=0)\n    else:\n      self.shortcut = nn.Conv2d(Cin, Cout, 1, stride=2, padding=0)\n\n    ############################################################################\n    #                                 END OF YOUR CODE                         #\n    ############################################################################\n  \n  def forward(self, x):\n    return self.block(x) + self.shortcut(x)\n\n\nclass ResNet(nn.Module):\n  def __init__(self, stage_args, Cin=3, block=ResidualBlock, num_classes=10):\n    super().__init__()\n\n    self.cnn = None\n    ############################################################################\n    # TODO: Implement the convolutional part of ResNet using ResNetStem,       #\n    #       ResNetStage, and wrap the modules by nn.Sequential.                #\n    # Store the model in self.cnn.                                             #\n    ############################################################################\n    # Replace \"pass\" statement with your code\n\n    self.cnn = nn.Sequential(\n      ResNetStem(),\n      *[ResNetStage(*stage, block) for stage in stage_args]\n    )\n\n    ############################################################################\n    #                                 END OF YOUR CODE                         #\n    ############################################################################\n    self.fc = nn.Linear(stage_args[-1][1], num_classes)\n  \n  def forward(self, x):\n    scores = None\n    ############################################################################\n    # TODO: Implement the forward function of ResNet.                          #\n    # Store the output in `scores`.                                            #\n    ############################################################################\n    # Replace \"pass\" statement with your code\n\n    # Pass \"x\" [tensor of shape (B, 3, H, W)] into the CNN.\n    # The output is a tensor of shape (B, Cout, H', W')\n    x = self.cnn(x)\n\n    # Get the height/width of the previous output (i.e. H' and W').\n    xh, xw = x.shape[2], x.shape[3]\n    # Perform average pooling across the width and height (without padding/stride).\n    # That is, we 'average' the width and height into a single value.\n    # The output is a tensor of shape (B, Cout, 1, 1)\n    x = F.avg_pool2d(x, kernel_size=(xh, xw))\n\n    # Transform \"x\" from shape (B, Cout, 1, 1) to (B, Cout)\n    x = flatten(x)\n\n    # Pass the flattened \"x\" to the FC layer. Output's shape is (B, <num_classes>)\n    scores = self.fc(x)\n\n    ############################################################################\n    #                                 END OF YOUR CODE                         #\n    ############################################################################\n    return scores\n\n\nclass ResidualBottleneckBlock(nn.Module):\n  def __init__(self, Cin, Cout, downsample=False):\n    super().__init__()\n\n    self.block = None\n    self.shortcut = None\n    ############################################################################\n    # TODO: Implement residual bottleneck block.                               #\n    # Inputs:                                                                  #\n    # - Cin: number of input channels                                          #\n    # - Cout: number of output channels                                        #\n    # - downsample: add downsampling (a conv with stride=2) if True            #\n    # Store the main block in self.block and the shortcut in self.shortcut.    #\n    ############################################################################\n    # Replace \"pass\" statement with your code\n    \n    # Define the \"intermediate Cout\".\n    coutint = Cout // 4\n\n    self.block = nn.Sequential(\n      nn.BatchNorm2d(Cin),\n      nn.ReLU(),\n      nn.Conv2d(Cin, coutint, 1, stride=(2 if downsample else 1), padding=0),\n      nn.BatchNorm2d(coutint),\n      nn.ReLU(),\n      nn.Conv2d(coutint, coutint, 3, stride=1, padding=1),\n      nn.BatchNorm2d(coutint),\n      nn.ReLU(),\n      nn.Conv2d(coutint, Cout, 1, stride=1, padding=0)\n    )\n\n    if not downsample:\n      if Cin == Cout:\n        self.shortcut = nn.Identity()\n      else:\n        self.shortcut = nn.Conv2d(Cin, Cout, 1, stride=1, padding=0)\n    else:\n      self.shortcut = nn.Conv2d(Cin, Cout, 1, stride=2, padding=0)\n\n    ############################################################################\n    #                                 END OF YOUR CODE                         #\n    ############################################################################\n\n  def forward(self, x):\n    return self.block(x) + self.shortcut(x)\n\n##############################################################################\n# No need to implement anything here                     \n##############################################################################\nclass ResNetStem(nn.Module):\n  def __init__(self, Cin=3, Cout=8):\n    super().__init__()\n    layers = [\n        nn.Conv2d(Cin, Cout, kernel_size=3, padding=1, stride=1),\n        nn.ReLU(),\n    ]\n    self.net = nn.Sequential(*layers)\n    \n  def forward(self, x):\n    return self.net(x)\n\nclass ResNetStage(nn.Module):\n  def __init__(self, Cin, Cout, num_blocks, downsample=True,\n               block=ResidualBlock):\n    super().__init__()\n    blocks = [block(Cin, Cout, downsample)]\n    for _ in range(num_blocks - 1):\n      blocks.append(block(Cout, Cout))\n    self.net = nn.Sequential(*blocks)\n  \n  def forward(self, x):\n    return self.net(x)"
  },
  {
    "path": "eecs498-007/A4/rnn_lstm_attention_captioning.ipynb",
    "content": "{\"nbformat\":4,\"nbformat_minor\":0,\"metadata\":{\"accelerator\":\"GPU\",\"colab\":{\"name\":\"rnn_lstm_attention_captioning.ipynb\",\"provenance\":[],\"collapsed_sections\":[]},\"kernelspec\":{\"display_name\":\"Python 3\",\"name\":\"python3\"},\"language_info\":{\"codemirror_mode\":{\"name\":\"ipython\",\"version\":3},\"file_extension\":\".py\",\"mimetype\":\"text/x-python\",\"name\":\"python\",\"nbconvert_exporter\":\"python\",\"pygments_lexer\":\"ipython3\",\"version\":\"3.7.3\"}},\"cells\":[{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"DDJwQPZcupab\"},\"source\":[\"# EECS 498-007/598-005 Assignment 4-2: RNN, LSTM, and Attention for Image Captioning\\n\",\"\\n\",\"Before we start, please put your name and UMID in following format\\n\",\"\\n\",\": Firstname LASTNAME, #00000000   //   e.g.) Justin JOHNSON, #12345678\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"2KMxqLt1h2kx\"},\"source\":[\"**Your Answer:**   \\n\",\"Soufian BENAMARA, #NOid\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"Euek3FWn6bhA\",\"tags\":[\"pdf-title\"]},\"source\":[\"# Image Captioning with RNNs\\n\",\"In this exercise you will implement a vanilla recurrent neural networks and use them it to train a model that can generate novel captions for images.\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"MzqbYcKdz6ew\"},\"source\":[\"# Setup Code\\n\",\"Before getting started we need to run some boilerplate code to set up our environment. You'll need to rerun this setup code each time you start the notebook.\\n\",\"\\n\",\"First, run this cell load the [autoreload](https://ipython.readthedocs.io/en/stable/config/extensions/autoreload.html?highlight=autoreload) extension. This allows us to edit `.py` source files, and re-import them into the notebook for a seamless editing and debugging experience.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"28O_qwFfdQpr\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1617548418849,\"user_tz\":-60,\"elapsed\":1434,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}}},\"source\":[\"%load_ext autoreload\\n\",\"%autoreload 2\"],\"execution_count\":1,\"outputs\":[]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"p3H9pcnudWlg\"},\"source\":[\"### Google Colab Setup\\n\",\"\\n\",\"Next we need to run a few commands to set up our environment on Google Colab. If you are running this notebook on a local machine you can skip this section.\\n\",\"\\n\",\"Run the following cell to mount your Google Drive. Follow the link, sign in to your Google account (the same account you used to store this notebook!) and copy the authorization code into the text box that appears below.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"Yv8Z8EiudX25\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1617548419180,\"user_tz\":-60,\"elapsed\":1752,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"f367868e-fe70-4d78-ffd1-d0710a2877d0\"},\"source\":[\"from google.colab import drive\\n\",\"drive.mount('/content/drive')\"],\"execution_count\":2,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Drive already mounted at /content/drive; to attempt to forcibly remount, call drive.mount(\\\"/content/drive\\\", force_remount=True).\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"Sek0GtVOdlKT\"},\"source\":[\"Now recall the path in your Google Drive where you uploaded this notebook, fill it in below. If everything is working correctly then running the folowing cell should print the filenames from the assignment:\\n\",\"\\n\",\"```\\n\",\"['eecs598', 'network_visualization.py', 'style_transfer.py',  'network_visualization.ipynb', 'a4_helper.py', 'pytorch_autograd_and_nn.py', 'pytorch_autograd_and_nn.ipynb', 'style_transfer.ipynb', 'rnn_lstm_attention_captioning.ipynb',  'rnn_lstm_attention_captioning.py']\\n\",\"```\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"A9t0-bGZdnr8\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1617548419181,\"user_tz\":-60,\"elapsed\":1742,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"59d6e109-a996-4ea0-8f27-9ee7c4c5ea7e\"},\"source\":[\"import os\\n\",\"\\n\",\"# TODO: Fill in the Google Drive path where you uploaded the assignment\\n\",\"# Example: If you create a 2020FA folder and put all the files under A1 folder, then '2020FA/A1'\\n\",\"GOOGLE_DRIVE_PATH_AFTER_MYDRIVE = '2020FA/A4'\\n\",\"GOOGLE_DRIVE_PATH = os.path.join('drive', 'My Drive', GOOGLE_DRIVE_PATH_AFTER_MYDRIVE)\\n\",\"print(os.listdir(GOOGLE_DRIVE_PATH))\"],\"execution_count\":3,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"['network_visualization.py', 'a4_helper.py', 'style_transfer.ipynb', 'network_visualization.ipynb', 'style_transfer.py', 'eecs598', '__pycache__', 'pytorch_autograd_and_nn.py', 'pytorch_autograd_and_nn.pkl', 'pytorch_autograd_and_nn.ipynb', 'rnn_lstm_attention_captioning.py', 'rnn_lstm_attention_captioning.ipynb']\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"S5LWJPBtdrpZ\"},\"source\":[\"Once you have successfully mounted your Google Drive and located the path to this assignment, run th following cell to allow us to import from the `.py` files of this assignment. If it works correctly, it should print the message:\\n\",\"\\n\",\"```\\n\",\"Hello from rnn_lstm_attention_captioning.py!\\n\",\"```\\n\",\"\\n\",\"as well as the last edit time for the file `rnn_lstm_attention_captioning.py`.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"jFZKi0podzhO\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1617548419796,\"user_tz\":-60,\"elapsed\":2346,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"cc49ef40-7435-40b2-aea1-8448cc8cdd05\"},\"source\":[\"import sys\\n\",\"sys.path.append(GOOGLE_DRIVE_PATH)\\n\",\"\\n\",\"import time, os\\n\",\"os.environ[\\\"TZ\\\"] = \\\"US/Eastern\\\"\\n\",\"time.tzset() \\n\",\"\\n\",\"from rnn_lstm_attention_captioning import *\\n\",\"from a4_helper import *\\n\",\"hello()\\n\",\"\\n\",\"py_path = os.path.join(GOOGLE_DRIVE_PATH, 'rnn_lstm_attention_captioning.py')\\n\",\"py_edit_time = time.ctime(os.path.getmtime(py_path))\\n\",\"print('rnn_lstm_attention_captioning.py last edited on %s' % py_edit_time)\"],\"execution_count\":4,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Hello from rnn_lstm_attention_captioning.py!\\n\",\"rnn_lstm_attention_captioning.py last edited on Sun Apr  4 10:59:12 2021\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"l8fTwRpXfwyM\"},\"source\":[\"### Load Packages\\n\",\"\\n\",\"Run some setup code for this notebook: Import some useful packages and increase the default figure size.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"q53DlMXboP-T\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1617548421256,\"user_tz\":-60,\"elapsed\":3795,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}}},\"source\":[\"import math\\n\",\"import torch\\n\",\"from torch import nn\\n\",\"from torch.nn.parameter import Parameter\\n\",\"import torch.nn.functional as F\\n\",\"\\n\",\"from eecs598.utils import reset_seed, tensor_to_image, decode_captions, attention_visualizer\\n\",\"from eecs598.grad import rel_error, compute_numeric_gradient\\n\",\"import matplotlib.pyplot as plt\\n\",\"import time\\n\",\"\\n\",\"# for plotting\\n\",\"%matplotlib inline\\n\",\"plt.rcParams['figure.figsize'] = (10.0, 8.0) # set default size of plots\\n\",\"plt.rcParams['image.interpolation'] = 'nearest'\\n\",\"plt.rcParams['image.cmap'] = 'gray'\"],\"execution_count\":5,\"outputs\":[]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"OvUDZWGU3VLV\"},\"source\":[\"We will use GPUs to accelerate our computation in this notebook. Run the following to make sure GPUs are enabled:\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"RrAX9FOLpr9k\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1617548421258,\"user_tz\":-60,\"elapsed\":3790,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"57ce1751-4367-4658-d5ba-c61cbdade7e8\"},\"source\":[\"if torch.cuda.is_available:\\n\",\"  print('Good to go!')\\n\",\"else:\\n\",\"  print('Please set GPU via Edit -> Notebook Settings.')\\n\",\"\\n\",\"# data type and device for torch.tensor\\n\",\"to_float = {'dtype': torch.float, 'device': 'cpu'}\\n\",\"to_float_cuda = {'dtype': torch.float, 'device': 'cuda'}\\n\",\"to_double = {'dtype': torch.double, 'device': 'cpu'}\\n\",\"to_double_cuda = {'dtype': torch.double, 'device': 'cuda'}\\n\",\"to_long = {'dtype': torch.long, 'device': 'cpu'}\\n\",\"to_long_cuda = {'dtype': torch.long, 'device': 'cuda'}\"],\"execution_count\":6,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Good to go!\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"WCPZwvOd6bhF\",\"tags\":[\"pdf-ignore\"]},\"source\":[\"# Microsoft COCO\\n\",\"For this exercise we will use the 2014 release of the [Microsoft COCO dataset](http://mscoco.org/) which has become the standard testbed for image captioning. The dataset consists of 80,000 training images and 40,000 validation images, each annotated with 5 captions written by workers on Amazon Mechanical Turk.\\n\",\"\\n\",\"We have preprocessed the data for you already and saved them into a serialized data file. It contains 10,000 image-caption pairs for training and 500 for testing. The images have been downsampled to 112x112 for computation efficiency and captions are tokenized and numericalized, clamped to 15 words. You can download the file named `coco.pt` (378MB) with the link below and run some useful stats.\\n\",\"\\n\",\"You will later use MobileNet v2 to extract features for the images. A few notes on the caption preprocessing:\\n\",\"\\n\",\"Dealing with strings is inefficient, so we will work with an encoded version of the captions. Each word is assigned an integer ID, allowing us to represent a caption by a sequence of integers. The mapping between integer IDs and words is saved in an entry named `vocab` (both `idx_to_token` and `token_to_idx`), and we use the function `decode_captions` from `a4_helper.py` to convert tensors of integer IDs back into strings.\\n\",\"\\n\",\"There are a couple special tokens that we add to the vocabulary. We prepend a special `<START>` token and append an `<END>` token to the beginning and end of each caption respectively. Rare words are replaced with a special `<UNK>` token (for \\\"unknown\\\"). In addition, since we want to train with minibatches containing captions of different lengths, we pad short captions with a special `<NULL>` token after the `<END>` token and don't compute loss or gradient for `<NULL>` tokens. Since they are a bit of a pain, we have taken care of all implementation details around special tokens for you.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"IMok4gFXqjre\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1617548421259,\"user_tz\":-60,\"elapsed\":3778,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"51d4d50d-1bae-4ee9-c442-ed93f459dc62\"},\"source\":[\"# Download and load serialized COCO data from coco.pt\\n\",\"# It contains a dictionary of\\n\",\"# \\\"train_images\\\" - resized training images (112x112)\\n\",\"# \\\"val_images\\\" - resized validation images (112x112)\\n\",\"# \\\"train_captions\\\" - tokenized and numericalized training captions\\n\",\"# \\\"val_captions\\\" - tokenized and numericalized validation captions\\n\",\"# \\\"vocab\\\" - caption vocabulary, including \\\"idx_to_token\\\" and \\\"token_to_idx\\\"\\n\",\"\\n\",\"if os.path.isfile('./datasets/coco.pt'):\\n\",\"  print('COCO data exist')\\n\",\"else:\\n\",\"  print('downloading COCO dataset')\\n\",\"  !wget http://web.eecs.umich.edu/~justincj/teaching/eecs498/coco.pt -P ./datasets/\\n\",\"\\n\",\"# load COCO data from coco.pt, loaf_COCO is implemented in a4_helper.py\\n\",\"data_dict = load_COCO(path = './datasets/coco.pt')\\n\",\"\\n\",\"num_train = data_dict['train_images'].size(0)\\n\",\"num_val = data_dict['val_images'].size(0)\\n\",\"\\n\",\"# declare variables for special tokens\\n\",\"NULL_index = data_dict['vocab']['token_to_idx']['<NULL>']\\n\",\"START_index = data_dict['vocab']['token_to_idx']['<START>']\\n\",\"END_index = data_dict['vocab']['token_to_idx']['<END>']\\n\",\"UNK_index = data_dict['vocab']['token_to_idx']['<UNK>']\\n\"],\"execution_count\":7,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"COCO data exist\\n\",\"train_images <class 'torch.Tensor'> torch.Size([10000, 3, 112, 112]) torch.uint8\\n\",\"train_captions <class 'torch.Tensor'> torch.Size([10000, 17]) torch.int64\\n\",\"val_images <class 'torch.Tensor'> torch.Size([500, 3, 112, 112]) torch.uint8\\n\",\"val_captions <class 'torch.Tensor'> torch.Size([500, 17]) torch.int64\\n\",\"vocab <class 'dict'> dict_keys(['idx_to_token', 'token_to_idx'])\\n\",\"\\n\",\"Train images shape:  torch.Size([10000, 3, 112, 112])\\n\",\"Train caption tokens shape:  torch.Size([10000, 17])\\n\",\"Validation images shape:  torch.Size([500, 3, 112, 112])\\n\",\"Validation caption tokens shape:  torch.Size([500, 17])\\n\",\"total number of caption tokens:  864\\n\",\"mappings (list) from index to caption token:  ['<NULL>', '<START>', '<END>', '<UNK>', 'a', 'on', 'of', 'the', 'in', 'with', 'and', 'is', 'man', 'to', 'sitting', 'two', 'an', 'standing', 'people', 'are', 'at', 'next', 'white', 'woman', 'table', 'that', 'street', 'holding', 'some', 'person', 'down', 'large', 'top', 'group', 'tennis', 'field', 'it', 'plate', 'up', 'small', 'riding', 'room', 'front', 'near', 'dog', 'red', 'his', 'by', 'black', 'train', 'baseball', 'young', 'cat', 'water', 'walking', 'playing', 'sign', 'snow', 'while', 'pizza', 'has', 'bathroom', 'kitchen', 'there', 'bus', 'grass', 'food', 'blue', 'green', 'other', 'beach', 'couple', 'ball', 'building', 'bed', 'three', 'parked', 'men', 'for', 'flying', 'side', 'looking', 'wooden', 'toilet', 'game', 'road', 'boy', 'girl', 'player', 'laying', 'skateboard', 'city', 'sits', 'over', 'wearing', 'her', 'eating', 'frisbee', 'several', 'out', 'bear', 'through', 'sink', 'horse', 'outside', 'picture', 'giraffe', 'from', 'phone', 'around', 'wall', 'bench', 'air', 'each', 'brown', 'board', 'clock', 'yellow', 'window', 'laptop', 'one', 'its', 'car', 'area', 'under', 'stop', 'park', 'living', 'covered', 'cake', 'behind', 'court', 'their', 'open', 'kite', 'into', 'elephant', 'truck', 'umbrella', 'tree', 'this', 'airplane', 'very', 'sheep', 'surfboard', 'many', 'trees', 'close', 'filled', 'little', 'old', 'computer', 'skis', 'motorcycle', 'big', 'desk', 'together', 'bowl', 'light', 'sky', 'as', 'bunch', 'background', 'wave', 'chair', 'traffic', 'teddy', 'fire', 'counter', 'ocean', 'sandwich', 'plane', 'cell', 'inside', 'glass', 'giraffes', 'sidewalk', 'stands', 'child', 'boat', 'back', 'women', 'orange', 'cars', 'photo', 'bat', 'horses', 'skiing', 'couch', 'baby', 'zebras', 'fence', 'bird', 'sit', 'racket', 'hydrant', 'view', 'bananas', 'grassy', 'elephants', 'stand', 'shirt', 'middle', 'vegetables', 'hill', 'four', 'flowers', 'tie', 'tall', 'hand', 'vase', 'off', 'grazing', 'driving', 'different', 'zebra', 'bike', 'being', 'ground', 'mirror', 'full', 'hanging', 'another', 'tracks', 'slope', 'dirt', 'along', 'ready', 'mountain', 'lot', 'wine', 'station', 'talking', 'cows', 'taking', 'skate', 'stuffed', 'during', 'day', 'floor', 'swinging', 'signs', 'pink', 'herd', 'airport', 'ski', 'head', 'guy', 'glasses', 'display', 'cutting', 'above', 'image', 'fruit', 'refrigerator', 'holds', 'going', 'empty', 'cow', 'broccoli', 'wii', 'pair', 'long', 'colorful', 'beside', 'track', 'surf', 'stove', 'pole', 'parking', 'crowd', 'against', 'tower', 'luggage', 'dogs', 'snowy', 'runway', 'lots', 'hat', 'umbrellas', 'smiling', 'scissors', 'kites', 'getting', 'buildings', 'walk', 'using', 'chairs', 'animals', 'skier', 'racquet', 'posing', 'passenger', 'paper', 'corner', 'banana', 'across', 'topped', 'them', 'running', 'piece', 'night', 'lights', 'jumping', 'hot', 'hit', 'video', 'tv', 'looks', 'carrying', 'suit', 'remote', 'oven', 'home', 'doing', 'box', 'body', 'birds', 'batter', 'television', 'plates', 'house', 'children', 'camera', 'busy', 'boats', 'various', 'soccer', 'motorcycles', 'jet', 'cheese', 'bears', 'shower', 'metal', 'male', 'double', 'bedroom', 'wood', 'trick', 'skiers', 'sand', 'rides', 'traveling', 'dark', 'be', 'snowboard', 'microwave', 'lady', 'keyboard', 'items', 'he', 'drinking', 'door', 'way', 'tray', 'river', 'restaurant', 'players', 'meat', 'like', 'set', 'line', 'kids', 'cup', 'all', 'about', 'watching', 'bridge', 'brick', 'book', 'toy', 'skateboarder', 'photograph', 'made', 'kid', 'coffee', 'bread', 'boys', 'surfer', 'shown', 'row', 'ramp', 'face', 'donuts', 'cut', 'cross', 'something', 'preparing', 'market', 'lake', 'half', 'dressed', 'decker', 'who', 'tub', 'surrounded', 'suitcase', 'slice', 'oranges', 'lying', 'lush', 'knife', 'him', 'gray', 'furniture', 'forest', 'enclosure', 'bicycle', 'bath', 'scene', 'purple', 'play', 'number', 'hands', 'bottle', 'beautiful', 'swing', 'screen', 'pulling', 'past', 'leaning', 'jacket', 'female', 'country', 'carrots', 'cabinets', 'animal', 'walks', 'waiting', 'shelf', 'pan', 'older', 'making', 'look', 'leaves', 'bag', 'zoo', 'someone', 'snowboarder', 'mouth', 'meal', 'grey', 'dress', 'controller', 'base', 'intersection', 'fries', 'few', 'displayed', 'clean', 'throwing', 'sun', 'store', 'stone', 'seen', 'police', 'onto', 'decorated', 'cute', 'chocolate', 'buses', 'between', 'variety', 'silver', 'showing', 'salad', 'rocks', 'lined', 'high', 'girls', 'fruits', 'engine', 'birthday', 'attached', 'adult', 'waves', 'trying', 'slices', 'sleeping', 'skateboarding', 'pitch', 'pile', 'pictures', 'painted', 'multiple', 'lit', 'hair', 'catch', 'types', 'surfing', 'stopped', 'setting', 'placed', 'outdoor', 'mounted', 'motor', 'helmet', 'gear', 'windows', 'underneath', 'tables', 'sofa', 'seat', 'resting', 'public', 'pizzas', 'moving', 'mouse', 'lap', 'hotel', 'hitting', 'flower', 'edge', 'cats', 'brushing', 'been', 'apple', 'working', 'uniform', 'shot', 'rock', 'ride', 'performing', 'passing', 'nearby', 'mountains', 'graffiti', 'floating', 'flies', 'five', 'drink', 'coming', 'colored', 'clocks', 'case', 'carriage', 'branch', 'books', 'bathtub', 'apples', 'tarmac', 'rain', 'others', 'office', 'just', 'have', 'fly', 'eaten', 'eat', 'doughnut', 'dish', 'cloudy', 'clear', 'bright', 'watches', 'walls', 'vases', 'trunk', 'tiled', 'teeth', 'she', 'school', 'sandy', 'plant', 'perched', 'pasture', 'or', 'modern', 'military', 'donut', 'dirty', 'dinner', 'desert', 'catcher', 'bikes', 'yard', 'wet', 'watch', 'tricks', 'toppings', 'toothbrush', 'surface', 'statue', 'shaped', 'scooter', 'sandwiches', 'rail', 'plastic', 'pieces', 'path', 'neck', 'mother', 'match', 'machine', 'legs', 'having', 'gathered', 'fork', 'crowded', 'crossing', 'containing', 'church', 'cart', 'candles', 'bushes', 'boxes', 'blender', 'beer', 'alone', 'vehicles', 'vehicle', 'towards', 'sunglasses', 'stairs', 'shop', 'rice', 'reading', 'plays', 'pitcher', 'not', 'nintendo', 'foods', 'fireplace', 'fenced', 'enjoying', 'end', 'dry', 'dining', 'curb', 'computers', 'christmas', 'center', 'cellphone', 'cattle', 'catching', 'brush', 'boards', 'boarding', 'blanket', 'bicycles', 'basket', 'bags', 'wild', 'trail', 'town', 'style', 'stacked', 'smiles', 'sliced', 'served', 'sauce', 'pulled', 'professional', 'pretty', 'pots', 'platform', 'place', 'phones', 'meter', 'hillside', 'french', 'feeding', 'distance', 'control', 'chicken', 'cement', 'can', 'bowls', 'bottles', 'boarder', 'benches', 'assortment', 'towel', 'toward', 'toddler', 'tile', 'taken', 'sunny', 'striped', 'sticking', 'sinks', 'single', 'shoes', 'rests', 'railroad', 'putting', 'potatoes', 'plants', 'planes', 'pillows', 'pen', 'no', 'landing', 'jumps', 'jump', 'huge', 'hotdog', 'fridge', 'fish', 'event', 'dock', 'cream', 'collection', 'clothes', 'business', 'atop', 'antique', 'wooded', 'wire', 'transit', 'things', 'steam', 'skateboards', 'serve', 'reaching', 'pool', 'pie', 'persons', 'overhead', 'monitor', 'mid', 'guys', 'graze', 'flag', 'equipment', 'doughnuts', 'cooking', 'cooked', 'container', 'cluttered', 'away', 'arm', 'appliances', 'vest', 'type', 'trains', 'toilets', 'steps', 'square', 'spoon', 'shore', 'shade', 'sale', 'run', 'right', 'rack', 'prepares', 'polar', 'picnic', 'party', 'outdoors', 'officer', 'mound', 'ledge', 'kind', 'hay', 'gold', 'giving', 'feet', 'fancy', 'couches', 'concrete', 'closeup', 'broken', 'asian', 'among', 'adults', 'action', 'woods', 'where', 'vintage', 'trucks', 'time', 'throw', 'tan', 'takes', 'take', 'surfers', 'surfboards', 'snowboarding', 'smoke', 'serving', 'rug', 'roof', 'pushing', 'pot', 'pond', 'poles', 'pastries', 'passengers', 'pants', 'overlooking', 'nice', 'mans', 'makes', 'low', 'laptops', 'guitar', 'growing', 'go', 'glove', 'fresh', 'flat', 'family', 'doors', 'dessert', 'colors', 'bush', 'bunches', 'both', 'blurry', 'bite', 'below', 'beds', 'bar', 'after', 'work', 'winter', 'travelling', 'tow', 'throws', 'swimming', 'supplies', 'suitcases', 'subway', 'still', 'space', 'soup', 'someones', 'skies', 'show', 'sheet', 'round', 'railing', 'pulls', 'pose', 'petting', 'pepperoni', 'pedestrians', 'narrow', 'lamp', 'ketchup', 'juice', 'island', 'ice', 'himself', 'hard', 'giant', 'get', 'games', 'eyes', 'drinks', 'displaying', 'decorative', 'curtain', 'coat', 'close-up', 'chips', 'chasing', 'carrot', 'cabinet', 'backpack', 'airplanes', 'airliner']\\n\",\"mappings (dict) from caption token to index:  {'<NULL>': 0, '<START>': 1, '<END>': 2, '<UNK>': 3, 'a': 4, 'on': 5, 'of': 6, 'the': 7, 'in': 8, 'with': 9, 'and': 10, 'is': 11, 'man': 12, 'to': 13, 'sitting': 14, 'two': 15, 'an': 16, 'standing': 17, 'people': 18, 'are': 19, 'at': 20, 'next': 21, 'white': 22, 'woman': 23, 'table': 24, 'that': 25, 'street': 26, 'holding': 27, 'some': 28, 'person': 29, 'down': 30, 'large': 31, 'top': 32, 'group': 33, 'tennis': 34, 'field': 35, 'it': 36, 'plate': 37, 'up': 38, 'small': 39, 'riding': 40, 'room': 41, 'front': 42, 'near': 43, 'dog': 44, 'red': 45, 'his': 46, 'by': 47, 'black': 48, 'train': 49, 'baseball': 50, 'young': 51, 'cat': 52, 'water': 53, 'walking': 54, 'playing': 55, 'sign': 56, 'snow': 57, 'while': 58, 'pizza': 59, 'has': 60, 'bathroom': 61, 'kitchen': 62, 'there': 63, 'bus': 64, 'grass': 65, 'food': 66, 'blue': 67, 'green': 68, 'other': 69, 'beach': 70, 'couple': 71, 'ball': 72, 'building': 73, 'bed': 74, 'three': 75, 'parked': 76, 'men': 77, 'for': 78, 'flying': 79, 'side': 80, 'looking': 81, 'wooden': 82, 'toilet': 83, 'game': 84, 'road': 85, 'boy': 86, 'girl': 87, 'player': 88, 'laying': 89, 'skateboard': 90, 'city': 91, 'sits': 92, 'over': 93, 'wearing': 94, 'her': 95, 'eating': 96, 'frisbee': 97, 'several': 98, 'out': 99, 'bear': 100, 'through': 101, 'sink': 102, 'horse': 103, 'outside': 104, 'picture': 105, 'giraffe': 106, 'from': 107, 'phone': 108, 'around': 109, 'wall': 110, 'bench': 111, 'air': 112, 'each': 113, 'brown': 114, 'board': 115, 'clock': 116, 'yellow': 117, 'window': 118, 'laptop': 119, 'one': 120, 'its': 121, 'car': 122, 'area': 123, 'under': 124, 'stop': 125, 'park': 126, 'living': 127, 'covered': 128, 'cake': 129, 'behind': 130, 'court': 131, 'their': 132, 'open': 133, 'kite': 134, 'into': 135, 'elephant': 136, 'truck': 137, 'umbrella': 138, 'tree': 139, 'this': 140, 'airplane': 141, 'very': 142, 'sheep': 143, 'surfboard': 144, 'many': 145, 'trees': 146, 'close': 147, 'filled': 148, 'little': 149, 'old': 150, 'computer': 151, 'skis': 152, 'motorcycle': 153, 'big': 154, 'desk': 155, 'together': 156, 'bowl': 157, 'light': 158, 'sky': 159, 'as': 160, 'bunch': 161, 'background': 162, 'wave': 163, 'chair': 164, 'traffic': 165, 'teddy': 166, 'fire': 167, 'counter': 168, 'ocean': 169, 'sandwich': 170, 'plane': 171, 'cell': 172, 'inside': 173, 'glass': 174, 'giraffes': 175, 'sidewalk': 176, 'stands': 177, 'child': 178, 'boat': 179, 'back': 180, 'women': 181, 'orange': 182, 'cars': 183, 'photo': 184, 'bat': 185, 'horses': 186, 'skiing': 187, 'couch': 188, 'baby': 189, 'zebras': 190, 'fence': 191, 'bird': 192, 'sit': 193, 'racket': 194, 'hydrant': 195, 'view': 196, 'bananas': 197, 'grassy': 198, 'elephants': 199, 'stand': 200, 'shirt': 201, 'middle': 202, 'vegetables': 203, 'hill': 204, 'four': 205, 'flowers': 206, 'tie': 207, 'tall': 208, 'hand': 209, 'vase': 210, 'off': 211, 'grazing': 212, 'driving': 213, 'different': 214, 'zebra': 215, 'bike': 216, 'being': 217, 'ground': 218, 'mirror': 219, 'full': 220, 'hanging': 221, 'another': 222, 'tracks': 223, 'slope': 224, 'dirt': 225, 'along': 226, 'ready': 227, 'mountain': 228, 'lot': 229, 'wine': 230, 'station': 231, 'talking': 232, 'cows': 233, 'taking': 234, 'skate': 235, 'stuffed': 236, 'during': 237, 'day': 238, 'floor': 239, 'swinging': 240, 'signs': 241, 'pink': 242, 'herd': 243, 'airport': 244, 'ski': 245, 'head': 246, 'guy': 247, 'glasses': 248, 'display': 249, 'cutting': 250, 'above': 251, 'image': 252, 'fruit': 253, 'refrigerator': 254, 'holds': 255, 'going': 256, 'empty': 257, 'cow': 258, 'broccoli': 259, 'wii': 260, 'pair': 261, 'long': 262, 'colorful': 263, 'beside': 264, 'track': 265, 'surf': 266, 'stove': 267, 'pole': 268, 'parking': 269, 'crowd': 270, 'against': 271, 'tower': 272, 'luggage': 273, 'dogs': 274, 'snowy': 275, 'runway': 276, 'lots': 277, 'hat': 278, 'umbrellas': 279, 'smiling': 280, 'scissors': 281, 'kites': 282, 'getting': 283, 'buildings': 284, 'walk': 285, 'using': 286, 'chairs': 287, 'animals': 288, 'skier': 289, 'racquet': 290, 'posing': 291, 'passenger': 292, 'paper': 293, 'corner': 294, 'banana': 295, 'across': 296, 'topped': 297, 'them': 298, 'running': 299, 'piece': 300, 'night': 301, 'lights': 302, 'jumping': 303, 'hot': 304, 'hit': 305, 'video': 306, 'tv': 307, 'looks': 308, 'carrying': 309, 'suit': 310, 'remote': 311, 'oven': 312, 'home': 313, 'doing': 314, 'box': 315, 'body': 316, 'birds': 317, 'batter': 318, 'television': 319, 'plates': 320, 'house': 321, 'children': 322, 'camera': 323, 'busy': 324, 'boats': 325, 'various': 326, 'soccer': 327, 'motorcycles': 328, 'jet': 329, 'cheese': 330, 'bears': 331, 'shower': 332, 'metal': 333, 'male': 334, 'double': 335, 'bedroom': 336, 'wood': 337, 'trick': 338, 'skiers': 339, 'sand': 340, 'rides': 341, 'traveling': 342, 'dark': 343, 'be': 344, 'snowboard': 345, 'microwave': 346, 'lady': 347, 'keyboard': 348, 'items': 349, 'he': 350, 'drinking': 351, 'door': 352, 'way': 353, 'tray': 354, 'river': 355, 'restaurant': 356, 'players': 357, 'meat': 358, 'like': 359, 'set': 360, 'line': 361, 'kids': 362, 'cup': 363, 'all': 364, 'about': 365, 'watching': 366, 'bridge': 367, 'brick': 368, 'book': 369, 'toy': 370, 'skateboarder': 371, 'photograph': 372, 'made': 373, 'kid': 374, 'coffee': 375, 'bread': 376, 'boys': 377, 'surfer': 378, 'shown': 379, 'row': 380, 'ramp': 381, 'face': 382, 'donuts': 383, 'cut': 384, 'cross': 385, 'something': 386, 'preparing': 387, 'market': 388, 'lake': 389, 'half': 390, 'dressed': 391, 'decker': 392, 'who': 393, 'tub': 394, 'surrounded': 395, 'suitcase': 396, 'slice': 397, 'oranges': 398, 'lying': 399, 'lush': 400, 'knife': 401, 'him': 402, 'gray': 403, 'furniture': 404, 'forest': 405, 'enclosure': 406, 'bicycle': 407, 'bath': 408, 'scene': 409, 'purple': 410, 'play': 411, 'number': 412, 'hands': 413, 'bottle': 414, 'beautiful': 415, 'swing': 416, 'screen': 417, 'pulling': 418, 'past': 419, 'leaning': 420, 'jacket': 421, 'female': 422, 'country': 423, 'carrots': 424, 'cabinets': 425, 'animal': 426, 'walks': 427, 'waiting': 428, 'shelf': 429, 'pan': 430, 'older': 431, 'making': 432, 'look': 433, 'leaves': 434, 'bag': 435, 'zoo': 436, 'someone': 437, 'snowboarder': 438, 'mouth': 439, 'meal': 440, 'grey': 441, 'dress': 442, 'controller': 443, 'base': 444, 'intersection': 445, 'fries': 446, 'few': 447, 'displayed': 448, 'clean': 449, 'throwing': 450, 'sun': 451, 'store': 452, 'stone': 453, 'seen': 454, 'police': 455, 'onto': 456, 'decorated': 457, 'cute': 458, 'chocolate': 459, 'buses': 460, 'between': 461, 'variety': 462, 'silver': 463, 'showing': 464, 'salad': 465, 'rocks': 466, 'lined': 467, 'high': 468, 'girls': 469, 'fruits': 470, 'engine': 471, 'birthday': 472, 'attached': 473, 'adult': 474, 'waves': 475, 'trying': 476, 'slices': 477, 'sleeping': 478, 'skateboarding': 479, 'pitch': 480, 'pile': 481, 'pictures': 482, 'painted': 483, 'multiple': 484, 'lit': 485, 'hair': 486, 'catch': 487, 'types': 488, 'surfing': 489, 'stopped': 490, 'setting': 491, 'placed': 492, 'outdoor': 493, 'mounted': 494, 'motor': 495, 'helmet': 496, 'gear': 497, 'windows': 498, 'underneath': 499, 'tables': 500, 'sofa': 501, 'seat': 502, 'resting': 503, 'public': 504, 'pizzas': 505, 'moving': 506, 'mouse': 507, 'lap': 508, 'hotel': 509, 'hitting': 510, 'flower': 511, 'edge': 512, 'cats': 513, 'brushing': 514, 'been': 515, 'apple': 516, 'working': 517, 'uniform': 518, 'shot': 519, 'rock': 520, 'ride': 521, 'performing': 522, 'passing': 523, 'nearby': 524, 'mountains': 525, 'graffiti': 526, 'floating': 527, 'flies': 528, 'five': 529, 'drink': 530, 'coming': 531, 'colored': 532, 'clocks': 533, 'case': 534, 'carriage': 535, 'branch': 536, 'books': 537, 'bathtub': 538, 'apples': 539, 'tarmac': 540, 'rain': 541, 'others': 542, 'office': 543, 'just': 544, 'have': 545, 'fly': 546, 'eaten': 547, 'eat': 548, 'doughnut': 549, 'dish': 550, 'cloudy': 551, 'clear': 552, 'bright': 553, 'watches': 554, 'walls': 555, 'vases': 556, 'trunk': 557, 'tiled': 558, 'teeth': 559, 'she': 560, 'school': 561, 'sandy': 562, 'plant': 563, 'perched': 564, 'pasture': 565, 'or': 566, 'modern': 567, 'military': 568, 'donut': 569, 'dirty': 570, 'dinner': 571, 'desert': 572, 'catcher': 573, 'bikes': 574, 'yard': 575, 'wet': 576, 'watch': 577, 'tricks': 578, 'toppings': 579, 'toothbrush': 580, 'surface': 581, 'statue': 582, 'shaped': 583, 'scooter': 584, 'sandwiches': 585, 'rail': 586, 'plastic': 587, 'pieces': 588, 'path': 589, 'neck': 590, 'mother': 591, 'match': 592, 'machine': 593, 'legs': 594, 'having': 595, 'gathered': 596, 'fork': 597, 'crowded': 598, 'crossing': 599, 'containing': 600, 'church': 601, 'cart': 602, 'candles': 603, 'bushes': 604, 'boxes': 605, 'blender': 606, 'beer': 607, 'alone': 608, 'vehicles': 609, 'vehicle': 610, 'towards': 611, 'sunglasses': 612, 'stairs': 613, 'shop': 614, 'rice': 615, 'reading': 616, 'plays': 617, 'pitcher': 618, 'not': 619, 'nintendo': 620, 'foods': 621, 'fireplace': 622, 'fenced': 623, 'enjoying': 624, 'end': 625, 'dry': 626, 'dining': 627, 'curb': 628, 'computers': 629, 'christmas': 630, 'center': 631, 'cellphone': 632, 'cattle': 633, 'catching': 634, 'brush': 635, 'boards': 636, 'boarding': 637, 'blanket': 638, 'bicycles': 639, 'basket': 640, 'bags': 641, 'wild': 642, 'trail': 643, 'town': 644, 'style': 645, 'stacked': 646, 'smiles': 647, 'sliced': 648, 'served': 649, 'sauce': 650, 'pulled': 651, 'professional': 652, 'pretty': 653, 'pots': 654, 'platform': 655, 'place': 656, 'phones': 657, 'meter': 658, 'hillside': 659, 'french': 660, 'feeding': 661, 'distance': 662, 'control': 663, 'chicken': 664, 'cement': 665, 'can': 666, 'bowls': 667, 'bottles': 668, 'boarder': 669, 'benches': 670, 'assortment': 671, 'towel': 672, 'toward': 673, 'toddler': 674, 'tile': 675, 'taken': 676, 'sunny': 677, 'striped': 678, 'sticking': 679, 'sinks': 680, 'single': 681, 'shoes': 682, 'rests': 683, 'railroad': 684, 'putting': 685, 'potatoes': 686, 'plants': 687, 'planes': 688, 'pillows': 689, 'pen': 690, 'no': 691, 'landing': 692, 'jumps': 693, 'jump': 694, 'huge': 695, 'hotdog': 696, 'fridge': 697, 'fish': 698, 'event': 699, 'dock': 700, 'cream': 701, 'collection': 702, 'clothes': 703, 'business': 704, 'atop': 705, 'antique': 706, 'wooded': 707, 'wire': 708, 'transit': 709, 'things': 710, 'steam': 711, 'skateboards': 712, 'serve': 713, 'reaching': 714, 'pool': 715, 'pie': 716, 'persons': 717, 'overhead': 718, 'monitor': 719, 'mid': 720, 'guys': 721, 'graze': 722, 'flag': 723, 'equipment': 724, 'doughnuts': 725, 'cooking': 726, 'cooked': 727, 'container': 728, 'cluttered': 729, 'away': 730, 'arm': 731, 'appliances': 732, 'vest': 733, 'type': 734, 'trains': 735, 'toilets': 736, 'steps': 737, 'square': 738, 'spoon': 739, 'shore': 740, 'shade': 741, 'sale': 742, 'run': 743, 'right': 744, 'rack': 745, 'prepares': 746, 'polar': 747, 'picnic': 748, 'party': 749, 'outdoors': 750, 'officer': 751, 'mound': 752, 'ledge': 753, 'kind': 754, 'hay': 755, 'gold': 756, 'giving': 757, 'feet': 758, 'fancy': 759, 'couches': 760, 'concrete': 761, 'closeup': 762, 'broken': 763, 'asian': 764, 'among': 765, 'adults': 766, 'action': 767, 'woods': 768, 'where': 769, 'vintage': 770, 'trucks': 771, 'time': 772, 'throw': 773, 'tan': 774, 'takes': 775, 'take': 776, 'surfers': 777, 'surfboards': 778, 'snowboarding': 779, 'smoke': 780, 'serving': 781, 'rug': 782, 'roof': 783, 'pushing': 784, 'pot': 785, 'pond': 786, 'poles': 787, 'pastries': 788, 'passengers': 789, 'pants': 790, 'overlooking': 791, 'nice': 792, 'mans': 793, 'makes': 794, 'low': 795, 'laptops': 796, 'guitar': 797, 'growing': 798, 'go': 799, 'glove': 800, 'fresh': 801, 'flat': 802, 'family': 803, 'doors': 804, 'dessert': 805, 'colors': 806, 'bush': 807, 'bunches': 808, 'both': 809, 'blurry': 810, 'bite': 811, 'below': 812, 'beds': 813, 'bar': 814, 'after': 815, 'work': 816, 'winter': 817, 'travelling': 818, 'tow': 819, 'throws': 820, 'swimming': 821, 'supplies': 822, 'suitcases': 823, 'subway': 824, 'still': 825, 'space': 826, 'soup': 827, 'someones': 828, 'skies': 829, 'show': 830, 'sheet': 831, 'round': 832, 'railing': 833, 'pulls': 834, 'pose': 835, 'petting': 836, 'pepperoni': 837, 'pedestrians': 838, 'narrow': 839, 'lamp': 840, 'ketchup': 841, 'juice': 842, 'island': 843, 'ice': 844, 'himself': 845, 'hard': 846, 'giant': 847, 'get': 848, 'games': 849, 'eyes': 850, 'drinks': 851, 'displaying': 852, 'decorative': 853, 'curtain': 854, 'coat': 855, 'close-up': 856, 'chips': 857, 'chasing': 858, 'carrot': 859, 'cabinet': 860, 'backpack': 861, 'airplanes': 862, 'airliner': 863}\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"80RW_nSH6bhH\"},\"source\":[\"## Look at the data\\n\",\"It is always a good idea to look at examples from the dataset before working with it.\\n\",\"\\n\",\"Run the following to sample a small minibatch of training data and show the images and their captions. Running it multiple times and looking at the results helps you to get a sense of the dataset.\\n\",\"\\n\",\"Note that we decode the captions using the `decode_captions` function.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"l-oiW9Ut6bhH\",\"colab\":{\"base_uri\":\"https://localhost:8080/\",\"height\":1000},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1617548421261,\"user_tz\":-60,\"elapsed\":3778,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"a6d8ea1b-ac50-4f1e-9219-595f12f9d6a9\"},\"source\":[\"# Sample a minibatch and show the reshaped 112x112 images and captions\\n\",\"batch_size = 3\\n\",\"\\n\",\"sample_idx = torch.randint(0, num_train, (batch_size,))\\n\",\"sample_images = data_dict['train_images'][sample_idx]\\n\",\"sample_captions = data_dict['train_captions'][sample_idx]\\n\",\"for i in range(batch_size):\\n\",\"  plt.imshow(sample_images[i].permute(1, 2, 0))\\n\",\"  plt.axis('off')\\n\",\"  caption_str = decode_captions(sample_captions[i], data_dict['vocab']['idx_to_token'])\\n\",\"  plt.title(caption_str)\\n\",\"  plt.show()\"],\"execution_count\":8,\"outputs\":[{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure 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\\n\",\"text/plain\":[\"<Figure size 720x576 with 1 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5J9GFcWP8e5tEN5eTEn2wcTI+IeZ4PiDI3XxeRH57lbq/WyIXQ1GsD2Os8vfHx6iEq3AG1nY3SvyxyDrPLZToqfCQRG7U3xYRLy7bJ9HbybJE7oSPCvIV75LoaXZeRH4m/tuvSnQDmReR18Z/+xcSvZUuSvTE+Cd0/Esz2vidErlxFiRaEPZZZUcEecmPy9ofbHxAIgL+9+O6nhKRb7PKPyzRxT8v0VP8JyUh638qPlZDIlfSL1n7bZXoQ6ozEnEt99ltonn0+XibRYmIcZvPe0vcH7fE9lWx/f6UeQX9J/hxVVFE/n08rofjc+hJ8gHIHZLCrdh1S+QhuVNElkTkiyLynyWS76zWz1vjupfjPv6gpH94cEQiHvXJuO//TGL+Masuib6+eyru0/+4Rv0wJy/gXNecB3H5n8R9Oi8iW9d5vd1M9g+JyBPxfHhGRH5BrI/ZVhnfm+K/3R7bu7lvJeKaliV6UNksGdfXGu3cICJ3xf36EM+XNebiTRJdn7Nxf/+drM05PpcxX2nHamN5gec3LiJXUh8u07+f5msqtgsSPYyE1t/ukOh7jqX439clWtir1jYXrXe+rPff+QtboVCsgvit5g/DMNyVuXF2XZ8SkQNhGD6np3SFQvH8QcOmKRQWYvfs24wxxdid/csSSWieTV03mEg3WojdOu+SyL2mUCheJtBFUKFAGIk4kDmJ3DP7JdIzPhtslsRF9R9F5MfDMPz689BGhULxPEHdoQqFQqHILfRNUKFQKBS5hS6CCoVCocgtUjMQ/MSPvw98paUS6s9LZYy57JNnNQpUEqFew32LXmHNbUVEylWsu0DSm+XlRbC9Uhnb0usm+9KxiiWqm54F2q0lOjaY4hUxCINPLuXQx+AV9vHrg2NQVqmghndxYQHsfh/r8grYVs/DIQxJr1ukxnte0vZyGfusXsegMX0f9+102mD7vg92hcas38cxbSwn/XriBAZPabcaYNeq2LbJzRhEY3gUg5H0+32wez3st3od51+lPrTyOwwxc0uzhefZ6dPELnK/oX1uegrsQhHHyJaRtTpdKOv00ObzWFjEeX/6FGrEx8cxyH+B5gfbRetcQrrGHLkbzSVDOmyuWwyWt9vYr4uLONebzSS4TmNhHsrqixj3YPM4jv+JLs7FYm0I7EqdtfI4poVC0vYiXd/2NSMiIhSEpUD90O3iebbbGHClF+BcnTqGWaaWpxOZ8m/8zu1Q9va3vg5sukykh90grRbajQae9zeewevwN3/9F1d+P/kwyooLzng2wfbpXsXjb+g66fZxrvM1jC2l+xjdB4cGcXxffdVesL/wd19YM2iAvgkqFAqFIrfQRVChUCgUuYUuggqFQqHILVI5wVIRA3Szb7xSxvJiBTmhbjfx+XrEy5WIJ2HerVxGnobXa+azysTT9EziUWauwqNjS4DeZ48aw3xlELCNjni/i474Xi/hBDwP2+mRr9vvIZ/AdRcoyXKhgPU1iCutVPBcO92k7WFAMcaJ2+z18diLC3Ng93304VcqOGbMCS5Z+589g0kCaHrIUH0Cyw3yBxJQP1G/FehcSgXst3476afpOeQjA+IqqsRn10sYAnPAI66khP22aRPydDaXWiQum68Tn4j2PrWte9WlYBdprneZpyH49lw2zNOnbBvtkGqHVMycT9/Hfulb12FjeRnKOks490rE609m8JNsBynSMKco5Lo9KsZ+63RpjBp4P2h10C71cP55WxK+c9sWvA4Cmg8dGt4woLbSGJSYtiVe37Pus3wviZI42MfC+eB8n0D3zbCLjfWJGw3ofmIKnvWb+GpBdIjHP3Z0rXjqLvRNUKFQKBS5hS6CCoVCocgtdBFUKBQKRW6Rygmyj5c5wkqVdIPECRUsP65h/VqR9UroZ+e6bP+wiMhAiP5jj8qLveTYxRLxi+RQ5tBxRojzI785t8UrYb/4PdSs9LoJJzg0PJ7abp84nwKfF3NIpNXkc/EK5Je3iovM+ZLtEwXU5z/Qsfo91EMxhWRzymNjo1BWKeN5jo5ieYn4ZtY/9oV0YjQmXH+jlfTzzMwZKFsiLmR4aBjsgneWylH7OTuPSbGbDeQrSuVk7vM1ZYgTZK60VsOk5kXip9pt1LiylpN5/dAqD8L08eVrmDnEAmtSae7WiZ/2Cnhd2lpfsxF5V7+P/CE/v4fCGkbS7vK5OHRm8gcu4rr5vIyj1UUExK0zl97rYv7x0Dq35Xnkzg8+hWNUr5PmucCaVPrmgHj62emDYC8vJtcCc3o+cboF5unoWAF9a8EcYEjfO/C3GTahyXOLuW/WKJ47d+H5tPVNUKFQKBS5hS6CCoVCocgtdBFUKBQKRW6RygkyB+QViSsjP3tA29uxBTnuHK++BZMen8/RKFbSuTCbx+NYn+y7dlgA1gF65LumzVkf1yVO0eb1SqRvLBCDUCH+kjVJrMX0aPt+DTnFMOiRnbTN4WHLOB36AZ8H81XEL5GPv1QkjqCSnPsg82w0ITgeK88H5vyqFP/T4ZxJyxda/ANrTnkuMs/CvEqzjbqvBunCen3kEKvWGPJ5F0nIVaYx6RFnPFDHGJmdDsWppFik7jWbjFnfZ9EZz3vil4hv5PnBfGeJ+OyA9Hc2d18hnXCvi3Eq3fsDHktCvheRXWBNpN0vzOrRINGxmfsyzI3yvY9jkXI/W1q/Awfug6Llxa1gb9qI3xhwPFcHxOP228iHD1ifM3B8zqDA1wVr99J52YKkx1x2+z2xHc1qxtwrllOXNmqXQqFQKBQ5hS6CCoVCocgtdBFUKBQKRW6R6jh98sDTYLOOrEIxFSusWbM4olKROb10Dod1YRyn1PH5O3qYhN/gvIesvWO+skf5wJjr4vyEVdJLcuxJ2/fd7rBeiXKRUc4+Pla5QnkZaUyaDYy5WDBr66UqzIVR/NWActkx29CjHG4+c0rk47djkbJEqNuluIEcK7aD5cMjOIZlGgPuN+ZxbH6rRPwTc1dcd7/P86GYWm447qnVL4MDqCktlYirIm1Vh3K4lVgXJszL4bl0SMtpzz/WHDKYd/GdXJWkeTRcTmPCeRqtucn7cl7NUEhzxhIzDppJMMR32xwxx8hk+Vqnx5wwXrNF6qdyiblR4nl7FFPVmj9ctm3LJDYmpHicxJW50k5+78FzqdWSeyV/Z8HnwWPUo5iprIdkns44QmS639jXFWuS6TyrFfpGgHKbpkHfBBUKhUKRW+giqFAoFIrcItUdev+Dj+Ef6JNmlh44qTQsnxe7p9j9ya/p/Hkuu1Odz5A5dYrlB2B3FR+LPSd9dgNSOcs1SuSq5U+i7XBUBS89PVVILgTnY+2MtFBdStPC4YXsUy+TS3pwYJDaQm6fFrriXLcftpVTTtkeDXa1+OQfrVXQjbdrN7pahocxrFalRO4zanu/QG5Fy81UKHA4QHSlsHvUkCuOw8MtURqgGocXtNxhxVL6PG+1SPKCh5JSiVzQ7O6iHbitthQhIDlNwfDc4ZBcWJfHEgj+jJ2lJ4bcjrbDnSpnaVFIPkq+v3BoQ96e3YC2qy4I6L7mhP+iUHSOpCZd7hWGLDXB+rt2yiF2rZbZJYmHYmqHQ76xzW5F37qmuyRLYSkIg9O+MYbrG8EOKOTb/CyGOrPvm0V2rZd4btL6keHah30veEuFQqFQKL7JoIugQqFQKHILXQQVCoVCkVukcoJzc8gvOR8dZ0ToSYMbuixr+/SDp1XHx8o8j8y0K2zyHzhX09pFzG06JI4TWojPmz+pTw91ZZv8yTrzsAxOtcM8C/dz6DBYSTmfFte1eQumzrl87z6wuz3mMugTaiK/mNcDro3a4vDLnDrHYN3tFl4nS4uYzojDshWLVpovL51Xd0NskaSGPtcvUcool5fD6mx5CE8d5pd4rjncOqeFMswJU5ovOje/m2zPnG6xjLwqzx/mq5j7Cij1mnMdWSG9mLNjvqlcwo5qeywNoiNl3EB8OldbFjE0hGHxKixToJqJ8hUhiRRzwixNsiUWzPFxKiXnUIZlSdi6dhO58mKV0uXxNwXW8Xzn4wiaeyWUGg2R9CgN+iaoUCgUitxCF0GFQqFQ5Ba6CCoUCoUit7jwfBPiapTcP6yjLofrWncNz3H/Vyay+Mz1dGsWz+pinX2eRmdmVFWjFEGsC+x0MfwXc2slSjHFfNficiPZt4R6JeaXOEWYT6HMmlZdIiKNBuqrJiYnwLY5Qk4JxTpQ1uYxp+PTH4ouYY31sfbP6rcwoGNRSC7D3Clr8cJ0Tph1o6xxhSF0Qq5ROivWrHH6M+KvmSvzWPNonwtvzLpfR3uHYJ0x890VJ80P6QSt/atVDumXccsO07nRPqUB6xHPZ4fZ45B7zC87HC9tz+g08TrxqaND0h2LZYcG+zTg62YQOUCeL2nQN0GFQqFQ5Ba6CCoUCoUit9BFUKFQKBS5xbo4QcVLj+eXl30eK7ugA174ppy2q0tpVoJGejqjai2d17N5l3IV+QSWOzH3ERL/1Gih/qlF8Vu9IsfNBfIL28k6LtIB+sSb8PacQsjRbhb4eInNekhOy8P9wBwf6wI5Jiafa0i8na3HYw0i83DM+TkphDiuaSFdf2lzygHt65OWjo/NfDS3hXk3Di3ap/J2J+G7KxRDl4/lzE1JB8f77VOqJrvfyiXUZnLHdPtrp+UScXn5foBxcFkn6uitLbtEqZKGRoaxLuJZu11OX7Y29E1QoVAoFLmFLoIKhUKhyC10EVQoFApFbqGcoOJ5A8cedTK4MYFlg3VhxXT9nKPdCtaOvygi0u2QrtCqn3NbesSbFTy0i9S2ooe8DceaZA6xZ2kcfeI6WGvX7SG3USDCkvVybBc9HhPmN+2cnxTHlG4PPvGyjtY3RL6pRFyo8fhcSctntZ3rdsLxspbT4elYg0jP+06YSyv/KI2fkyWP9ZI0f0rUlo6Pcw/yBYpIh3WF1gFqlNuSxZrchw6o43rECTpxS31bm4dVVWvInYdtLPd95j6Jh6W2F0nzOD6B+QYrVnmthv1QpVyoi21sDOefTIO+CSoUCoUit9BFUKFQKBS5hS6CCoVCocgtlBNUPGuMj42C/e633Qp2q4181l//7T+u/G53sIwVQswXVMjHXzDMZeD+zBkxF1apJBwD80cF4o+Yy2DOqEK8Tb1Gue+IE+xb3BrzbI4ukLjN+tAA2OUKHovzJnIgTMOBMa08e2FI/GEW35TBCTLcdJXY76HVNp9iXJowXf9YYl635Ig9qakOsWe1g3jWdcY5Zr0lc63NFsaWZU2bPdcHKS8e53hkDjirqR06FusG7fnGc7NQZO4bz6vXQ16Oc5sydzpGuRK3TGwAe6CW8H7lMmkO6USLc3Ngb9+E+UjToG+CCoVCocgtdBFUKBQKRW6hi6BCoVAocgvlBBUrYJ6FeTqmG971zreA/TM/9QGwp07Pgv3QQ4+v/P7G4WOpbWHNIXOEzG05GjcnvyDzT561LR6L8+Q5mkTKs8e6wgppmJjfsmkclk42Wxh3tEP6p8EBrLtITS2ViDPyOYbq2jqzMODxJ7vAsT9Zy4eNCbg8YB0Zckz2/OMx8ZmfDCjXYWaizVQTXwfSw5C6OkKOa0tt5bnYp9iizAkODiS87wDp4woc15THKCO/aIf0sj7xdn4/aQvHNOW50/dZN8pxbvk6wfFeml/AxvVw7tfrybmXHd0fnmiDuPNmneKepkDfBBUKhUKRW+giqFAoFIrcQhdBhUKhUOQWygnmGKyPGxlEP3q1iH73po/26197PdjlMsaGHB3GnF/jYyOJcTi9baUS1lUqZsWdpNijzPNx3Err+c/Ja0f7ZuUXDIjr4nLWZtlxTpk/6hGPwrEeuxRnstJDjodDZDIn1OvjH0rWGLOOz8kGSB3BuQs90nIZ1uY5fBVrFu04pjg3O208T/GRKy3S3DOkeQz4eZ/5TYuodfIo4p7OebMmlbV3rBPlOLe8fcXqR+aXmV90NIzUpR3SnXYobqlHYzpUteon3WeXYoMa0s9WBlDD2u8QV9qh68zgGC/0cUxbrcTmewufdp/I0Nmqxg5VKBQKhSITuggqFAqFIrdQd2jOYH+GvmFsDMou2bkD7C2bsPzw8RNgtxZQAjF9/DjY56YwlNHM3PwFt5NDLBU9/vxeyCYXE7luSuQOLRSS+oMQty2S7sAJq1bgT+JJCuB8nk+fjlvpa9jdya419sX1KT5ch8LP8ef7HNrKK5BUxJoPQcCSB0pPRC5qdo+yay0gdxmZjrvUPtm0NPCjpVoAACAASURBVEsiIsUCtoVvZez+dNI+cfgx6/P/HrnxWNLA6awCkhn0yWXN7tWA0heFVD5ofd5fLpEGhuC0xbCrnl2vONdZ3rPJokTKdOiAJuPmnbvBHtmAocoOPvk42H4XXdq1GrpPqxW65q35xmHx+gGH1cM+LJd4fqwNfRNUKBQKRW6hi6BCoVAocgtdBBUKhUKRWygnmDPYPE7Bw5BM1+29BOwbL0KJw+8dOwX2Q/fcD/ZAm8KkPXYQ7OOnpy68nfStv8seIZdRJglFjzhB5oDgM/eAy5iHyQgfRq0rclofsmu1pF+3br8MtxX8JF7oM/JOZxHshXnkaZn7ckObUbnFrYQOn8jnzeHk0GRulPuFuVJHgpFSF0teDHHExs3ThPA5LRSdi7V730+XNPjUcue8ObSZ0y8E2n5oaHDld4k4QadPmXfl9EYkO+hTeDFuzaAVnqxCxzaUtqtaxzRP7WYDbJ/kO0wKDwzi/oN1ChFnjTFz3SwV4vGtVbHuNOiboEKhUChyC10EFQqFQpFb6CKoUCgUitxCOcEcwyft1TD55JcXl8CemUf7C/ecAfvJAwfAPnQadYFt0l8BiBdh/RODSzmcFHOGnrd2Yig3PBhzghl6NzpWncJH7diJvN/2bVes/F6cRx5lfu402L0e6gCHhoaoZch99CgdDadWCgXrM8YKVVbi0FSUQorDZjEPx2HXgnQujDlHm7flPi0UiRMkjtcNwUa8Hh+KdaVWOLluH/vIEaUyv2wy2sb5sogjZA56ZDgZY+aT+TyddFd4JOmSjrRHOkHuJ5sGrJTx2ItLOLdOHsHYh32aq30KF1isYCizShX57xpxjKhDxT7je1eBdIKlsuoEFQqFQqHIhC6CCoVCocgtdBFUKBQKRW6hnGDOULT0dMUSDv/djzwDdthHDmCxhZqjbhf98KcPog6Q9VXrAcc0dLgP4l2YcOJyjnNpx6J0tHSSrrXjWJHMbU1MbAV7fGwn2M88legnm8vIs3Y6qK3iuJOz09NgT26eBLvdQt51YCh9DMLA1mJhmVdADiegthiO30gVONszYcW6Q5vXpW29AutGia90uC62KVYox3O1TI6vWaB3hYDyFTHX6cbrxDHpElfG5zZgxQ5lvtGnulmTyMdut9PnU4GmR8E6mzrdH3o9nKs9igWaBY9i8o6NjoA9PjIItn2u7jWHdfcbeK8qly58adM3QYVCoVDkFroIKhQKhSK30EVQoVAoFLmFcoI5Q72SaAGLxGYcOEicIGlxPCJ1Bmuo82m3l8FeDyPInJ/npeujODYoc4hOfEb6i51vsEM5+hwOkHiUdoe1dtjWSgXzMH7jCdRPttoJf8EcDefYc7V1+NzaaiNP63BlgjxOibgSY8Uq7ZcoPyDH53T0kWQbypvH2j06G6/AHGPSNlMgnraI/KSTH5BtJy8ja/Xo+d8qds+LdqU4lay963SYO8f50iXed3QEY/TWask16pxnasRV9zrpdEmbm5GH096/Tvn9mGdjjq9A8V05L6dXxjHkeLC8vfGtXJfMETv3B7q+KU9nGvRNUKFQKBS5hS6CCoVCocgtdBFUKBQKRW6hnOA3PdCZPuwlvvPRoAll7QbG+mSv+jjF9ts1gPb9C3ispfWRggDmF5gJ4XxiZc59RkQObz8zn+TlOzGzAGVDw8jRFIlv7Id0rDrG8zw3NQf29BTGWPUsfRzHGS3XMH7rzPRZsEsUzzFk/RRxJYUyjlGpjjyuZ8Vz9Ok828SbOVwZazcdrSaNIfFPBZ8JqmSMPBKweRzP1cmbSLq/jHJHC2q1lcPWurwcgjlj5vx84uVC2t7WBYqIVOwYm1m5CDmmJvUpz3u+LvoB8+FJP23fihrUYAS57iLFmi2RXSROeWYBc2HyufSIx7N5PebOmZdvtbDPG028t6VB3wQVCoVCkVvoIqhQKBSK3EIXQYVCoVDkFsoJftMDPe9Vi2u7cfMmKDtXRZ/+MsUG3DKE/BW56SXI4E7SwWIs1pTh81q5hJojd3fin2j/c+dmV35/ff/TUDY4Po72IMY0HNyI/VZj7d7cDJYT57NxU8K1MNd17hzyh502chunT6Huz/eR86nVcYw6ZeIAKdZoYMWSDUJmgSlvnhPPFVFwgoOS3pJ5uRQNXJH6tEj95DOjVKBciIYJaeYE6chWdYFJ1yQyP+V72McFaosp4XVkx+8VERkdR66tZOnlQmbmOUcjta1HHCBzgpy7MO3cdmzZDGUjFbwOONdhkWyOY1o4egzsDeOjYA8P4tztWlxqp40cYKNN8V1ZN8g60RTom6BCoVAocgtdBBUKhUKRW+giqFAoFIrcQjnBnGHRimNYryL3sZE4v/EQNWvjA2jfd/wc2O11+OFdpOfs43KOgdmneI68f6mIvI3NnSxRTr9l1iDOzII9TBqlTZQX7eYbLga7SHzUocPJ8RaXMc6kT3Eoh4eQN+n2iV/ykF+qDyBvE5J26/BZ1DAWbC1XgTlA0kMyJ0jlrKfk/ILMxLEez+Z9q8TpmQ7GpT27jPnjOMBnsYznPUQaN+aQYHeP44zi3Gv3cMzaHRyzwOBc65PEUQTbzm21udIg4OuCY31iJ3Y6OHf9XjrPG9B10+8l5+IFeF7dJrW7QlyokwMS+7hK24+SHndiA3Lx9qn3+9hO1teODuO83zCKdhr0TVChUCgUuYUuggqFQqHILXQRVCgUCkVuoZxgzrBk8V3TXeQ2Roo8HfAZaYH4qsOLyNNwvMb1wNFtOVwF5UVjHRnZXYcKIS7EbmtamYg0lpAzpLCmctk4cqVPPfpPYD9w72Ngb95+2crvwfEtUDZ15jjYQ0PIN46MbMCDU8+ViQOcncN4sEfmMBapfaaG879xPkEi8Zjzc+KWUkcVaP8CH8+af4Y43eVZ5J+bDdRP1qo4Bh7Zw5PbwS5VMaaqzfsZJ/cg5+hDTnhhATnjPsUKZZ631G2A/ZpdqDv1bd43wD4LmNOjudoiPZ1zTfJcD1hnmLS1t4Rz57FjOHf61BYegxLlD1ym3JdCGteAdMkV65uFIumCh+po1yob0S45ROya0DdBhUKhUOQWuggqFAqFIrdQd+g3GThVSoU+S65WE3uBUr6wn49DLjV76GpBJ49IicJB8Sf16HvjEFxrh9ASEelTqCqPJRPkejHsmktJxVPkkEse1lUw2E/lZXQT3fv5L4PtL6L7dN8Efgo+YNU3u4SutOUFdPu1GlgXuz99H8fk2LGnwD43iy6sOoXC2j2WuJFKp/C82jQfThfRLbhU4NBl6RIJnpsssbDlGrzt4jxKO4IlTMvTqeI8D2g+LJGb0BQ4zFbf+k3yDGpLuYauVE5n1ZjDMWUtyKDhucyu/6StIbmkua4gwLa12h0qxzEqFDjsGh67a7lua+SuDun6X2hyOiN0d7K7u0dpnhbpOil55F61UrXxfYzd/kWaq53ehedx0zdBhUKhUOQWuggqFAqFIrfQRVChUCgUuYVygq8wOPwEcR8DdQwXNDw8BHZzeWHlt99Hzu/UEoZFatGn3qNVnC71GtrD4+i3L5X4GStpy6XbMaXPaA19/Ft3InfFvInvs88f+YZyqUrlxE9a3IrHIbSKHJIN2c8Th0+A3aZ+2rMBx2CojNzIWCnhhE4vo8wkIO6SpSLtBvJNW6soFRgoI1d28cVbwb71tveDfdlFl6z8PvjfPgdls5Ri6kyA8+PuGnJCU/X0MGs8BiHNZTtsGvOJPvHTwSLyl6aDdXVLGFar76WnR2IbK8e6q9QWDuHVWsQxCPg62oAc8WCN5RrJmAchhbKjtvjE+bUp9ZaTvoo5ZeIzm1Zb62WSmVBKsUaAc7dUZp6OUiv1OP3R2pwwt5VnEl/voSMdcXZYE/omqFAoFIrcQhdBhUKhUOQWuggqFAqFIrdQTvAVhoEB5PgGiE8YGcTnmqEa8jglP9ER1cs1rCtE3kTqWHdHkAO6ZALbMl5H/mHfRTvA3rIpCRe2bRzTppSZP6LUR8fbyF2cobBonEqpWCAtVoGnemj9StcodojT6RK3wXsHpOW6aALPdeuGJD3SicUpKGtSP0wMIy+zawTP643XXwR2nfRUZ2ZxjL0mtv2pu7628vvIU6gxDJYWwK7SiV68iOG/FrYiZ9QizpifuJ1+C9YOXRYQD7dtFM/rTa97FdgPH8F+PbCA+zuUEUTRI+6SxqRD4b8qpFHsk15u/uBBsC+76TqwN27ANE92iDDWUrK+sUeptTi8IHOIzG+ydq9ZTK752q49UDYRIPe5eBjnC2fOYl7XI961SNx7kXTGRUtnyKnTSqQTLNCxWOuZBn0TVCgUCkVuoYugQqFQKHILXQQVCoVCkVsoJ/gyB6ez2boNU+9ctBPt5uJpsPuNk2DXLNrvTBP5pT1DyOn0POSj+qOY8uXaSy4G+7JB5Ay3T4yCXa8l9Qdd5Co7LeSXKFSo+B2cqssVTDFUoxCLAx5yAiHHTLT4p4D5A+KjfE7bRByQdPC8l7p4rA0j2G9Whhh5/aWYAubkHMZT3DqJ5ZNjOEYTI2gfeAZjj37m7nvBPjv1SbBvGE5SDNV62OlLHRyTGunGikSsjaF0T1pV5LpYF8gIxOYEsSwk7mpyK+ofb3nLe8Du3ns/2E/djXaf+CkYYY5xyhwhzZdeB3m4CvH2/KZx6S7kyjdtwjG2tb88NbkLOZVSQNw4c4KhI6DD8rGJpG1bLt4LZcVR1O4ukSZx5hzeexyu3cnqhBfthg3InY8NJfxklbhuj2KFcj+EAaVeS4G+CSoUCoUit9BFUKFQKBS5hS6CCoVCocgtlBN8maNA8feuuuYGsN/37veB/fef/yzYn/m7vwTb7yccQL2IfvOiQX3TyBAe+7V7toM9Oobcx9TcNNhL86hJax5J9FLVJhJIxT7lJmui/ulQH3VhJ4cw9ugkteUa0igWifsoWNovh2chQpLjSlY3IodTqWLbxmuot+x7qGlasrRc4+PIbQ6TZqxO/OPYAB5reGQD2BdfguXXnUae5qvnkCN+ZPrIyu+JAMe7FeCYUBhLGSsjHzlQwnPxNlFOyCJ3NJo298bH4ji0WzYjzzo0gv1WrmHbGI5+zp4fjrQuXWvnBzjP6+PIhY9MYlsvuWQ32AMD2Fa71zhGrqFO65FmlbkxPhku51iiExMJ7zc6hhydR7riLVvwGltaxLi2HJs4oDilzOuNb8Drasia6yXaNp1ddlJbpm974ZsqFAqFQvHNBV0EFQqFQpFb6CKoUCgUitxCOcEXAcB1sE+edTyOzx7RWMJcZY89jDqwhXPHwN5O2pu6FZfw8h3Iq1136TawJwcxVuDoGHIdJ0lneLiK9S21sfWHHnt05XfxDMZTnKwyH4UaoiNUV7OA57lnD8bQ3LsDNU0cW9DvJ20P+3geQUA8CnGEBYrf6NWRK+mXsfwkib3eYLVtaATjs5aIAxyiMZggfml4CHm4rU3kdcdqWJ9P5/rFu55Y+d0izoakmlIzxHUS51NuI49bIr6KudFUEClYr2EfbyOdIF8pLldGW6eRRhmcYL1O18XEBNgFercYID6ruhG1vTN0HQV+0q8FikNbpHm83ELeljWvTtpNro9icg7Uk1yHpRJegwH1Q5+uEydXId3L+qRD5Ri8zWaLyu35xDpA0kNSv7ic79rQN0GFQqFQ5Ba6CCoUCoUit9BFUKFQKBS5xcuGE3S4MWcL9y+wv6y9P3uH02sSEdbarMO/vNrx1rWvYV0P+r4PPf0k2PvGkGd50x7k5W7ZhfyFWBq1IYo7WRnDfZvEAc02kX94mnK0HW2gj3+hsQz2salER9ibwriUs8Q3CnEVM4vIhfZYc+SjZqnXRX6Kx6TVTviHLmkUQ4/ynhF/tI+41FuvuwzLN6NmbfMAjlEdYmTisTzKk8bxNtvzc2B3KNaoqSB3NkL6ucsvvQTsu+87sPK7R9xnkW4P3IdF0rAaupsME4/XCnF+pF2zIc37dge5zqlp1KTOTGPM1OVl7BeHaw8p/xwHK7VQIE5vbAy1mQNDyLvPncNchn3Kk/f1k9j2o4s4V21+q0zzoU7XRbGB8yHkfILEwzIVWq1iPNjh4YRj9nkMWsjZFajP+jR/2m28rrpdLO9Rns4WccqeFYPXp+s9ZJ7e47yLygkqFAqFQpEJXQQVCoVCkVvoIqhQKBSK3CKdE2S9TIoPf5XNU3m5LLjbpx+bYw1CWUZDM4+V0fjMc7OO7/iqOeWWo1HC55QynczOEdSBFbvInS3NzYA9O7+Q/D6GfvTTReQyugXiE4gbOT6H8T/nesghlGqogWsuJNsHpBEKKS5hkXiUIFwAm8e0SJwA68RYH9WxcgCGJKa6mDi973rHG8F+/aXICQ7wVcTiLBKptS2tZ6eBOdnaLbSblLONeZfhEdRD1oax7R3iXaankDuz4zsiI+PyZI2QYs1SW3aNYL9ctGs32FOHn0mtH64k6jO/i+M5N3UK7KcPPAr2ubMYM9VNZkemfY3SsYMQz3N+Aed9i/SS82fwOurQGD5E86Ncxmu4Ytl2bkERl58eD3HUrtyO+skBuq74ulluIDffbCdt30T8YnMZY4OWPeyXchmv2UYL21oiPrNM8WDLXkp8XxqDgPqBb6vr+YxD3wQVCoVCkVvoIqhQKBSK3EIXQYVCoVDkFqmcoJNHK1Ngx/tbu6a75DP5xSziLZXXI+7B4RN5TzrvzLY4/ZKiM3S6lPVLWM6xAFtN1D+dPoExNBdnz4I9v4TbL1v5BHdefxuUHXzo61j36aNgjw6gpohkgdKuk+5wBLV/oZ13jX38lJOtXEIug53+HJ/RK+JU7vVQo1QoIGc4auUq+76br4ey73jtVWBPDON599uoWWs1kVfxWQ/VQd6m00g4waUZ1HmdPX0G6+rhvoOjGCs0DJCHmZlBDdr8Mrb1gUf2g920eL0KCf2IApZB0o2O0Bi97ra3gF24GvWT/3ToaawwRRtMYSnFI76oIqRJPXEI7OYi8nYO+Bq2LjPOuRcQr7pM11SPuLM26WN7HdTXLc4ht8b3G8/SCXrEdfN9tFPHMdm3E/WyHmk5e33st+Vl/Ibg4JHkfnIR8YuDA3is0RG8Lq7adznVTXw3aT23bcL7w9aNw2B71jXv6ATpvsg6ULbToG+CCoVCocgtdBFUKBQKRW6xrrBpzuf76whIlvXJaqbr1TnUekKbsXsz0/m6Pjhty9RgrA1y+wXkBpgiWcI9j6OLqdhH10vbR/fH2JbtK7/3XP3PoOzhw/hZ+akjT4E9SGl9tmzfBfbTTXSt+OSSLFmumR5JFhoU5oo/Bfec4aa0LiSJ8Onz/U01dBt+8NtvSsoGSQpCx/a7eB6+k58Gz6XXR7cPu5zmziT9fPYUuq+bLXR/limdTYFS58wsHAd7sYP9cHAa6zvRwnOtjGxc+T0e4rGGKZ1VhSQzu6/ZB/Y7PvhDYB86exLsErnmuuQSBykRlsjYMMptxiu4xdTTj4A9O49tlzKF5ePcSvb9hMY3IAmE9LHufg/HP/A5jRO56rh+rF18K7wcv6UETJ8MoUuyXEG5BdMAxmDbamVKQWRJrI4dRXfmhnGU39TJFTs2jHSITTmIuCEgqxXcn2/poXX2ThQ0mkt8vbMcIw36JqhQKBSK3EIXQYVCoVDkFroIKhQKhSK3WBcnmE1tpXBh7BfPqvu5hip7Dluvd3s31BlvsKbhcqG8K/Vbiz7XPrmAn1vvHELeZmQI/fKDlcQvPzeFfGLZQ76pMoCfLE/u3ot1jW0E++gx5BCZjyxWEv4iKCBPxqlR2vRZeYk+Fb/0sj1gX3/tDWAXusgxXj6M/ThgEt6usYTHYrqovYyfvDcWUNbQptBTPvGTzFcuLSbbT81hP8y3kTcpFPASbRLHd7ZNaZ+GMc3PVf/snWC/7QaUxRQtHUTRwz7rNzBUnSEJxcbJ7WCPT2wDe2oJ+Ws7RZCIO+Zic0Y070dInjM2iHW1zuAYBX28DqSSzgnan9wzD88cn5DMwCf+ia/ZAvHfHDrRMCmYUhfb5SKHIkOezWOdS4Db9+leV7V4PE5tNL+Ec7XVwWtyibhv7mOP+EkOw8gyGCBLOeUY7cucYLWKHHIa9E1QoVAoFLmFLoIKhUKhyC10EVQoFApFbpGRSimDG1uHVi9krZ6TRmWdyOLSrHKTlUspQ+/oplLK2J63Xk9eD6dL8Q8l8oXvnETebs8GHNLBUfSNjwwl9kjvMSjbUcP0NI9Rs2tDGLKr4DEXkt6vxVLC0/SJH2Bdz+bJLWBfe91rwH7Dza/HuovYL5/6q78Ee9JHjeOe7UnanxZxeovzyPn1iRth3Vif0vz0+0jy9In6agVJW3a+8XuxXRMYauyh+78KNoeu20Zh1Fpt5PWabdR+bhzHc3nVjbes/F5eQn3j0CBpzIjT49Fmiq/TSQ91xSmL7Ar5kq3UkNuujQ+BzRxR0Utvq4NgbZ2gc2KuoA2P5XwjwH+gd48CfScAXBhu6tGZlIgT7FPbmH9slXD+hBMYZm2snsynEeI+nfEjhWNIoQ8D6je+DzO/2edQivbxA+bKBUHlfrkqFwp9E1QoFApFbqGLoEKhUChyC10EFQqFQpFbpHKC7APOTKW0Dp7P5Y/WxxFmheu0/fbZNadvkcUncDqk9PrXTh+z2rFYW3Xz9ajF+tZrMF5fiWo8dga1f1VL+1cv4fjOEyfU55iJ9MzEcQk5wJ8R1kdZsQBJ9/ctb3oz2D/+4Y+A/cTjT4Jdq6HPf+M4cmMHDhwA+yJvAuxqO4mL2GyiTrBHWkxD3AZRONLuEWdUwRiLV7zpu8DeflUSs3VmFvnHB+75CthjW1CLuZHiN5aqGCuyH+L2S5RaafoUxhqtW5SxEdTWMadTogCuPDd5/Hs95gTTuTQ7fRJfU0XieAo15MKJlnVoPQbHD7aPFxI35V7fNM+dwJaSWs4coXP3sLqV2xnQja7VwLn75DOYUsobQu7UryI3HlI82H6QHNzndyS6ZgMaz4B0pLy6ONQo3wsptqiUk/o95qM5Jir3E/GZadA3QYVCoVDkFroIKhQKhSK30EVQoVAoFLlFuk5wvVK+dW3/3HSCzt4v4LGfo6JxXfvzttU6ciFvfNUlYF+8G33+hw6j1u+uA1Ngd59MuLBCiH7zw2coNqCPPvujRw6CvffKq8C+7iLML1gbQt6mOTOTHPuSi6DsQx/6MNiDg8h1XrkXY4U+dWA/2I9+5fNgX7v3YrAr2zaD/ZkDSdzUg+dmoCz0kCcJW5hXrULaLK+EvNxbbnwd2De+6/vBPn3sSNLuh+6Csk4Hj3Xb298G9pVXYQ6/hVls+0HihB792gNgT5/D/IVizYFKjXK0dXE2+j7FrcQwlWKIrwoNc0asv12bI2QNWZEIJX5657b5rJfLuAjt2t3Yv6y9w+KC0zbKCZqRKpU/BABNNXNhxNPOzWLs4KUFjNda3oTzvjaA1xW3vdVOvgto9/ibAIRP34wwd+oypRnabt7aapvnZWhWeSopJ6hQKBQKRTZ0EVQoFApFbqGLoEKhUChyi3XlE1Q8W1hxTNn/78Q1RfQp8ORn7jwM9hcfxJiKZ6dRd3b4BPJ8vRQBlZMHjfzwx04g33TFpRjf8//4Vz8K9t6rXwV2s5HwXUeOYF1DQ8hVcEcxJzAzg1zI/V9/COxXv/4msCuDqCOcfeKZld/THYqJWMJ+aLdIL1fGtgxQl3pl4tZ6mOtu/yP/tPI78DGW5+X7MHbo3n1Xgz06innxxsbHsS2DWH7myDGw5xYpF6LFAdXqyC8H9Ijsdyk+I21Q4LtJBhHn6MRsjok0aKxJZE7IZ81auiRxlei/tk7QKUzd2Wkb5cXjfIEO58iXpNV499sH3Hl2gXI+0ubDFbyuOl3UDfMBur2knO8VfH/wQ+YEEU4fO2OE+wcpnCLPFR5/HnDDmsMU6JugQqFQKHILXQQVCoVCkVvoIqhQKBSK3OIF5QTXkUVv3Vq85xZ5NKNuh4/CbipQrjKP4tgVSUdWKic6snodObxWE3VhAWlvikXUrB0/i/xSQTB/HLd9y2aMmTk8lMQOLJQwjmCZOKGxMYxTOTKMur93vO0tYE9s3g722TOoWSxZucye/gbG9hwgns3vIXfB8TxPU90Dk6iHKtG5MB+RpWiCUupTtke7FFu0jTFYH7z7DrDPnjmx8rtYwfF9zU1vBLs2gFwmx2sk+klGRnHM3vE93wP2gScxh2Tf0lN5VJmfEROTQwuzPo7hlqZctcxPO7EhKb4n6QTdOKXMb60t3svS8RVIKOjOD3q3MOncmZuQcO1+YS1ei+Le2jk7RUQ6PeSc+9QPPMQ2t8ocHbNsWdQpt9W1CTxmYreFt03n/JQTVCgUCoXiAqCLoEKhUChyC10EFQqFQpFbPK+cIPv8vVW3iuC65NeXk6tEPF2lWge7bsXIGx1FLmvDRuTJxid2gL1lEnOybdo0icempp46ilos5jPKlm5sjHRep45jfrd2B/kk7pc37kOua5JFagHGzDPkTQ97Sf1/fd9JKHv4JPKLU8sYh3C2iM9M4ZsxRuaZ46j9K1ZwTHq9pG37H8aYlqcPYb7APbtwTGbnG2AffPppsKXMs42Tl3HusrU3dfLFkV0m6mJLD/vlLGnz+pRXr27FVN1z5XVQtnFiK7aTUhUGlMyQ5VLFEv5hoIi879XXonYTkc7yuDE10eScbt0u8lFZmljQhdGmsxTz9KyH+rggII6QeDn30MRP2Rs4fFKWHg47psa8HMX7dCfc2vykkyePuDCfYmQWS6RR5X6hQKZFEneCXtLh8JyEgGhmaDMdOPOHY8+mVcZzk6/vC/8iRd8EFQqFQpFb6CKoUCgUitziBZVIhGv8FnEdAmWSFdxw42vBniA30e7LMKXM7kuvBHt8Q+LybM1hOqERckmWBzD0lCf4Of6Zk+g2bC+j2/DQQ+jaW5ibxu0tt1C3j3XPHInGZgAAIABJREFUL2JYs0YLP3nukDRgZBZdjBs8dHdMLaEL6vgc2qeXkvpOLmLdC910t0+JxuieO74E9nve816wez66ag4eTEKVbRpFt+4DDzwI9rljj4D9pYdwDKbIPfrm224Bmz9jZ4Qpn1BX6dlws8FUSVu76O4qLOB8OHoaXdy1AQp1Fib1T2zeDWXs9g/Ij8dfkTsyBdqfJRQepYmy3Wvs7mQXU8FjlxO7FLH8HKX54dQ7DuzjUVtOT+E1dbyDczfoUeqcjPF3/KN22zLSMDn9Qm1l2UtA7vKek1IK9ycBBm5L87ZcQhqgVsPUa14hhQYQN5WSPb/ce3aGxIGOVaDh9rNEFYZdnNaWPDmdUHSOjoVbtyb0TVChUCgUuYUuggqFQqHILXQRVCgUCkVu8aKFTcv6XLZWR67rTd9yG9gBpQzZshG395eJh7PO7NwRTLNzYAlbszCH6WXssFYiImenToM9PzuD+y9i29r0afjwYNLWN9+AqXEeXcZjE7MhYxMYDuyuExg27eQpDB+2SFwJp5hJ+0qdP4lmcF2f/tyXwV7wMCTclmFM43LRxkQa4C9gH54+dQbsm/ZgKqR//jbkfL/yyH6wy0XkRvhTcp6BgZ0mhj4z39LA8bvGIH85v4w87uEWjn9vBnnaB++/E+zXvT4JjVapYJ8xAvqkncOm8XwpOPwV2pxJy7fCjxmDXBbzk8w3MpnFnN/JMzimWWGzbErI4XiIL+oTtx7wiZF2xP3CnvnvtSUSzC4VM8Lo9QIO0cZzEeeqozxJobO4D5kDHKNrzi/jmLb6FHaP02XZB3ckDxl38YxQdYY55KzYl/Z8cPhnruvZv8/pm6BCoVAocgtdBBUKhUKRW+giqFAoFIrc4nnlBNmlazMj7OJnbor9zSdPHAb73KGnwD50CH3hh48gNza3kPA2JYMcTb+NaXqanArH0atg44dHMb1Nv8rdiEzNrh3bVn5PN7GsV0Cf/a1vfQfYC0uYammKOMATM8hPFXy0/R5yJ2n6uCzwvott1DR+8XFMj7RpEPmuV21K9HJeF/edGEPebXMN+3xyB4ayu+FK7Ke5Ho7ZIkWqmllCLtW3QlkZ4jI2haS1oohsCz5qFNsBzqelJeQIpyjtU8vSmZaIy+z3sI9LZeK2mBMM0okVNxwh8Xh+ij6O9mRNGWu3fEpnND2HvK8THSyNFOJUSsT5DI6g9tJUMTxcAan2tOxEUbnVFH4z4PPMkKxJq9VJLTekt3UowHBNw+HCKtUy2NU6zt029VuRSePUUGXpnVag8Qvo/uBQhA7NS/tzuZNayS5M1z8yh5gGfRNUKBQKRW6hi6BCoVAocgtdBBUKhUKRW7ygOkFAhou2R9q6w089DvbBxzDVTp1SxjC3MmD53W2dnojI0BhpDD30q3cp9YlvsJta5OQ/s4h802wD0yGdfeSJld/sN79i37VgX3/jzWDvf+IJsI8dRa60SOmNxogrWWogp2gsjqDXQy6r2+U0ThkgvsEnP/1Z0tvdO5u0/aatGM/11buQI5w/jXzi0ACO2VgJx2znIKbLKteRI1rciP3Suj7Ra/7TY9/AfUk89S1vwTi2Ow7gGPzPz6BecnEZOcMFmh9LFj9pWP9GMTCDgPSPZYexQisjzmWRr/i0WJEcd5Tmmu+j3af5NLeIMVWZn3RiUVqN55ipHANz4uI9YA8OYvzfJx/A+8XcPM5tNy1USgqhDA6Q9ZF9n9M60Rg4ZFlaWifaNINo61Harj7dFz0WBhLsrXm8HPqZ4HznkSGAZGkfc4B2v/FccdMwEZwBXhv6JqhQKBSK3EIXQYVCoVDkFroIKhQKhSK3eNE4wSx+qU0xL08dOwJ2mVo6uQm1em2KHbjcSviJo/PEyZBOsEU8TIds1j8xX5EZU89CgWIa7t13HdijI2NgX3TxZWCzBq3dRPvY0YNgGzre7ouuWPnt6HqI7ZifxXis585gTj9X98X9xFxJ0u/bNqKecXwY+3zpHPJux58BE2JeioiMbdoC9gBxzEMV1E+98/okFukbLt0GZX6I/GSBYoteumsC7Fdfh/zU5+/FXIgH9j8G9i1v/taV3y3KTWkod2GfOJ4Nkzg/jMfZ51j3lc4ZAu+TqaWjWKJF4ow6ON4dGgP34Ck8jxNHkvRxdbz+B8Yxxq5XPkS745g6sUlBopgRp5Kb5jQ1vSNZs5i2OcfEHfCQG58cQO67T6fVDXD+GHrvCaj19jcDhUJWP2TEguV3LNZfcyzaNK60kMGFOzkZlRNUKBQKhSITuggqFAqFIrfQRVChUCgUucWLpxMkOBIS8gc/cwrjDrJm5dAC5vhjng72vXDKbuVoz740HTXy4V+57xqwOV/c0CDG1Lz2uteAvWkT8lNHjyIX0mggF7Jh4+TK7y3btkPZCPGRU6cx5uXnPvtpsI+cwGMZ0ksFAWW7CxNOsF7F8ySaVnbsQX2jP4fHmjlG+qgWbj80sgHsgWHUCRYtnWHQxX3DADVlfRKGVSoY73Xfnp1g/9N+5GUPHj0C9rEjib10+TkoCyinX4H0kKMbkQvz+EpKT/nn6K0gJidNbJ6LDI84owLxkx7lzXOkXtQ4m2Ny+SU6FttF5HwDPjZzpSm8Xxis3a6opvQ+55iYWZzhSA3vCTfsSzSsGwZxvDstnJtbN28Fe3gMr+GHDzwK9gOPPgi2E9dUbG0eI12cx2PkOTkdOTcm53R0GrP2wTKwnnu0vgkqFAqFIrfQRVChUCgUuYUuggqFQqHILV5QTjDNL5vl82cexs2Txvtf+LFfSoyNY168bVt2gO1T3MFWG7VWXgGHbNeuS8AeH9sE9vQMcqvjG5PyLVuQE6xTfM7JiUmwZ6fPgH1mmnhZanvQR6Kv30nsBgVgHa6jTdSpbLsYebsjT6CO8OR+7KelATxv5gQHrBirPdIBcs61ygBq9yTE7VuzmLyuRjE2Q9Jq3fP1r638fvPN30Z1477DxPn6fSdxGpqsl+L8cSm58Vy9azoP4+gG6ZGadaLuNZqWL44qczSFLpsFx3b4zPSEphCuMyv3KZ+3MJjrwi3qVeQv3/iqm8C+8rK9K78PPvU0lD14391gHxxD7nvvNa8Guxri3K1T7tRF5nWLCSed3sOr3WOZJEznVnl+hMQR2vOLt3WT164ddzQL+iaoUCgUitxCF0GFQqFQ5Ba6CCoUCoUit3jJdIKMLA6PPbzrU428fDA8jLqfMEQf/fISxpJsNtB2Q+hhz83OzYJdJv5hyDp+lcoKHMuPMD6O/MPQEJ4LKhJFhOO5WvnlZuexbDOmgxOi6eQkph+UkZ2ol3r0KJY3ZrAfGvMYq7RcS8r7AXZqpYoas5Fh7KeZWazrmaPYuHPL2LbqBuSBFyy2pdXGXqtVBsH2iqgb5HyDxmOOD21OH1co4LmF1phn6Wkzyx3Oh3IjZgp2rXLih8TRnFIxx6klHpZ52SyNG+ybkbuuYDh+K4KGSPbuQB5/sIS5M++5666V39PTqCMdHEWOmHWktgZVRKRP1+DmCfwOYMzH+Xe6kcxt34nlSWZGjFX+voFjhToxVp36g7WKXPY6ZG5cOUGFQqFQKDKhi6BCoVAocgtdBBUKhUKRW7xsOMEsrE/BhOUvJ83gpk2o4+Pz6PVQ71YkTsj3UXs3N4t6uMUl5Ku2bEUOoOglQ96lfG/LxGW126jN65PujznBjiGdTwW5joaVM3IOqU4pE3HS7uKodRvEN5E+rj9JessJ7OfmkafQnrFyJZI2r19DDrAxNw/2gVls/MPYbbJAvK83ioSnncOtS7zJEMUl5fyTvQxOsFTi/bFtBeJK+kDDZeTNcy5CrMsnIrfTpYCwGXn5UKzHnB5zhOkaM8d2NItp8T3TE/5lxbxkbnSS4nlODA6DfedX7wD71LEkeWaN5uKefdeDXSqjDrBYRo6wTBwwUdAyyNsvJ/cP5viZ0+V+YNvVkWJb+N7H9eM9nMoydOTr+WhE3wQVCoVCkVvoIqhQKBSK3OIV4w5dP+yUIBlumBe6JdanwSwz4E97OVxUEJD7cw5DdM3Ybj0RqdQw9JnnoQvC9xOX5MI8ygi65IqtlNDVwu4u9khwqKI+ubR8K0XNQpNcaY47C+smL6F0urh/kT4Vr4xuA7tL/XLgq19e+T3UQbfvOOV1erqD5/FEgI3p0LG9cTxWaHAMur1kDFod7PMSub94PvTIhV0gd6hX9KicJBEpnr5+n91ZPBfTrxzfx/nRo3NzXJoMY/8kdyjV3e+is67fRhd1YM3zqEIKZZfyeb5zTRICkh2wzbh+7xVgjw2iDGbHDkzFNT6auEurdaQUxigs4nKjAXaf5gcPWZ9c1DPzSKc0+olvP6zgvHYkLk6MPo43R6bjbk8Pq5Z2o04NubdK09Kgb4IKhUKhyC10EVQoFApFbqGLoEKhUChyi1csJ5jN6718hBH2p8EsK+gTT9Lroc9+YRElD4sLyH2Uiui394nXmaFUSnb9HvnwBweGwHZCD5HdI55G6BNoB/b3+un0gTA1RkoRIZWC+D5xjMzbeDjV91uyhmX6FnygjM+Gc00cE1PFPi9kpJDhYpv/DGkMKlXkE1vE+RToPIokiXBCdlH9zOvZIb+4rEh3hyxOsFLGHa4cw3PpIwUtRxrI+3XtIaPrwu9TCC56fi+SVIBbyv3AYdSQY8qMkwamk+aHsGkUJRJnTmJKspMnjoNt877VKo7vjs0Ygu/Ak5hqqdlAfrtH1wHPl3YT51c4nPRjWEmfWzzPWX7jhFVzvyLgGqk0Kc9M4/Qccunpm6BCoVAocgtdBBUKhUKRW+giqFAoFIrc4hXLCT4HF/CLDs/icYZHKIQW8SzMAbVb6ONn3RdzX4cPHgB7iEJ2zVQSsm1iEtOyjI2hhjEIOBUKPjN5RBpxWqjM/CdQOZojQ1RM5ceQVnFSL2WFcLLRZa5TsI/7VF7K4PyyEn/Zoc98TgFEGsXFc6gDHeQxon7KOjZFaQN6i3k23pZ1Xn4f7Rrxcj/4msvBXhxFUvCuJdS0ffKxpPwchc1zuMwy6udKFZ4w6fy0CdM0apSeSphHTRehVem6mDp2COzZKUyPdOyZJ7B+i0vjS2bq5GGwl5eWwS5TqEKfeDlOrbQ4h98MTF6epHkqkp6RtXk8H1iEaii0Ych9npGqKa0ozLoE1wF9E1QoFApFbqGLoEKhUChyC10EFQqFQpFbvGI5wZczB8iw09vU6+hnb7eRF+l0KP0Mebs94uVmp5FnOXJoP9iDpEsctTjCiU2oOSqRGK9LmkVO61NhbRalXuL0NTYWlnEE2xQLtNPD8kGkOuTMOUq9VEV7xOEM1mYNXDmkSbc5RqITA5HiVFJ53yIwmy0UPLYoFVaxwtwX9rmj1aK2cVhLn4i+ctlbc1s3wRCfB9bVXsS4tqfPPgP21i0Y9/J9l+G1MBgk6a7+04Mn8dhOmh3S6gnCd+iqLILarF2UwThxaZF4+2f24zU5deIU2Dt9vG6K1nUzT9fB8jL28WyLUmvR+FepLUI60zDAGKt2rOE+6/yc9FQZ8Tv5Dxn1OZxi2jXrVE0c8jpe7/RNUKFQKBS5hS6CCoVCocgtdBFUKBQKRW7xiuUEX0mw9XQFiq/Z4fxfpM1zcrQRpzM7fRbsmenTYE9PY1zCkdFEZ3bZ5XuhrFrFgJ39PvIFrJcqEr/gJKtL0RGdmEav/okptJfaaE+MIX/w2FGM37nlEmwLaxo5FxpyCMzhpSNNc7j6/qTVCpIxPTeLmrHXXH0T2PURjDs5MIRjVKI4p0uL82BPTyPnuHUb8nK1gYQzZi0e5xfsUV7Ffg/Lp08i17Vw7FFsWxk5512XXgz2G1+1e+X3wSbOvX/8GuolOV8g58IM6DpxUuERi2jbrIfj2LAkfxNK6Sg1ii0728C2tqrI824fwDEdtuZH28O6lokjnD6Mfd6nMeyw2JPKK2WsvzmbcI7loWEoc8R5WXkXM+4H3I/r+86D+UMuvvDa9E1QoVAoFLmFLoIKhUKhyC10EVQoFApFbvFNwwm+nGOJesADYku7XdTiMUfI+Qa7nTbYc7PICTYpP5iEWF+vk2iS5uaQjypwLFD2u3O+MCc+J8eWRC4ksHRlC8tY11cep4SBBu1aBes+10BeZccVmLvO8/D5rseaRetcWI8UOjEPJRWObtDJlcg6wgTzDeTsTp34BtjTT+J4XvOq68CuDgyA/dsf+xjYJ49irMlf+4P/B+zLr7lm5Xe5xNwoacwoPmufNK6LlPty6ixqWEcHsR++sR/nR8Ek/NS1Q3jsc5N4nkefQQ2izGBSyFYTtXcmI+efPeQ83AHPB7Zpe76Oghq2vbQBz218I2p5h5cWVn5P0/2hXkyPz+vk8GNtn+D+AeXhXLR0x8PDyAkWx0dxX+InnXyT1OeFkLlVjsmKu9uXTcD3ogxNqzEX/n6nb4IKhUKhyC10EVQoFApFbqGLoEKhUChyi28aTvDlDFuz5nO8RR+5jC7FDvVKGCuyafEFIiILi8i79HrIs5RohG0d4sICaq+yYvlxLkPmvkpF1ByFHp5L2/Lbs3zp1DniBElPWSAff7mO5cUi2l6B28oxNpP6AsngWYRtzjfHsUYlFfb2BdKFfuqPfh3sZ05hrMif/KVPgH31da8Ge+Ys6saK1JjxjRgv1uZleh08U69IeRApR9/sNHLKR57CGJmPHUOOcOsgzq+tE8RXFxIOyu9hv9ywDfmprzx5EOwTTyH32Soiz+ZR/kEJ6fnf4q9YD+uOL+1LXNjSMvK8deKnh2h+FCh3YssKfLlhBPNHPnwSY6p2HT0k6QD5uqBjB3RN10YS3q/XoFyFo8gJcq5C9xsCPJYT/5WpdOeVzLpOsoh5Ki6s46MQfRNUKBQKRW6hi6BCoVAocgtdBBUKhUKRW7xsOcEMWmUVnublC1tf1yPtHLu6fdLWlIlPmJ9HHm+Z8s8FxOsV+DHHassycRcctzSgtvh9FIpxbFHe3iEgUkF58CghXFjAtrFmseAQcdwPWF6y47kaHhOqW9KP5ea2o0538hMm5ZzDcWYeeZhiCXnWGmnO6nW0v+9DHwZ7YgI5pS1bMXao3bSlBZwPIfVhnXJTnj59DOy7//6/gj3dQE3rfAPHcKGN9o5NyZhXyhhPc+MkxlC9polc+sLTpHkVRFY817SyrLnGMTAbpFH0Kc9mt4C33VMLM2CPWvFg90+dgLJ7jqEuuE+xhZk7HyUdaaON/cbX7KClWQwobmnACSfp5uU5/UI6Quoo5u25n21tYOjjefnE4zujqbFDFQqFQqHIhi6CCoVCocgtXrbu0Mx0Nll/SAmD9OIjaZzPnzSTh4HTGTUprNbiAkoiWi0Kk8afHTuuuKQ3OAQbh3Bj9weXd8k96gdoB1RuI/OLZ9qgR2l7OEKTO8oc4o1CulluJGfqkNumQDanaeJ4T06fO5KKpL4BSpV0023vAPuKq28A+8qrrwd7ZGQI7He+9zvBLjoSGWxLs5W0Zf8TT+G2PZx7N77+ZrBZQjHfQ1fb+CZ0nzaX0dV7pkEua5PsX0ZlkDxCbZEQNxgeRbefWUpP+xPShReG/lqbOlOL50uB6yJKouehy5vDi03TfCp1E/fp8TmUyPT4miLXfamEx2p2cXuPOrZIspfu2SQVV2UQ5xbLMaSG9ypH8pCRgordyk66s8BOb0XgQaIxcCiJFOiboEKhUChyC10EFQqFQpFb6CKoUCgUitziZcsJsj/Z3SArv431+6UnBVfAn/5zyh/26R+bOg12u4WfW7fpk+esmF+22WdOj33+tHOnjRwiu+VNxjOVPSRu2hTmB0iuwXwjyTkMfW7tkfTASUnVS+pzk+ysnfpoNbicH9uI0aEkBNiNNyDnd8Wle8AeHkVerUjzpehh6/o0vzpdDheHbfGs+FLLFEZvbAPKKUpl7OM9l+0F++ZrrgB76iBKT/w6ckijVeLHraYemUL+eXgMw73N9fHz/aIgJ1hsYXjBPs9V4uXAcvimdNuZHzTXimVs6zaKEHhjFWVOYTPhTp8ImANEk0MZVkhCU60Ngs1XON8D2p1kzPwA21UOkCMMSb7jexyKjkzm7fwsTtCyM5eDZ59MT98EFQqFQpFb6CKoUCgUitxCF0GFQqFQ5BYvGSfo6vxY18MbrJfYe/mQgrYmjUONDQ5iepKlBeQylhZRJ9TmEEyk3WM46jnrD9yWrDEpVUi8xaHIiJcLupQOyeIvikROsbaOwemLQtq+yIK4DJ2gTds43GaGiJFTxjA4FQ+3/aLt21d+X3fNlVA2NoIpg7hxrDHr9pg7xfJyGfuF5JbSs7SgRw8fhbJLr9hHdeOYjYwjXzk5uRnspUNPYFvq2JZSgKmUlhqJfXIOG7qb5n2BON+zC3jev/rTPwv28hLqDM+exnM9eirh3s/OkDaPuHJvALmxgMpnO8ilLbWRd9tcRh5/i4fX/FPW5t0q9vGmCezDTh/7qVKpg91jfpJCtnl0DbdbCR/Z6+D49CkN3EAZx8AjrWany2meKAwj33FSUjPx9wZOOivjMvsXCn0TVCgUCkVuoYugQqFQKHILXQQVCoVCkVu8ZJxgViw4Nw7dc6z/JYTNvfkB+67xzM6cPgl2r4e83TLFX/RJL+dR+qI0rq3j8IvIAfCew8PIXzp6qBJygFIhHVEt4SsKfeQyDek+OXZogTjEShX5SebCeH8n1qh1PI+OnaUbzOSrw3Sd4L49l6/8HhlCHoWlVp1OemqsSgUv4T5xRM0G9nOBDtBYTLiyHo3/4AimYepyHEoabr9Dc7FL/PbcPNhFUq0dXk56aon4pKXpKbCfmTsF9hWvvhHs977jNmxbCzWui0/fjW0tvybZlm6LBY9ukx7OvcYiXpMLxzEG68ETZ8C++6HHwb7/EI7R0V5yvJve9AYou2wPcsh//Ed/AHa3i+fppCgjXalH51at1VZ+t0iT3GrieZbncd83Xrcb7PsOoca501s7NqjIalx7YvP173xCQn/g6z8N+iaoUCgUitxCF0GFQqFQ5Ba6CCoUCoUit3jZxA51QkmmJQhcdXveOtmeOZ4Xmy8sWJqWGsX2m52ZAXthGXkUW2MoIrJM5Q53Rr5x5oDszTlW6NIy6pu4fHGRju1zXEMkiYaHUOPU9RIep9cmrqpAGkTiC+pDGANx985dYFco5iqjQLoiu584jimHIXTDnPKzI++AbS8VkRt93Q0Jf1UgbWWjxTn2cHwrJbxkA4evJG6ETu7cFMYHPXpo/8rvyc2TUDY4gGPS7+GYzU/jfJlvIn995gzO7YDimp6h+J/Bhi0rv8erqKU7M4184lMnUPf3Pd+7E+zFqRNgL59DDnHm8a+BPbwxiZNqSIPI+QLLFm8WNRzHpNLEtl05Sjn89l0O9s8/eAzsxVbSz0e/+CUoe/Drj4Ld6WA/Ma/LvBvHGvVIX2vnymTtLV8Hi/M4JqNFPPZrtuP43rkf9ZdeDTWN7vcLZo3f4pKCz0E2qG+CCoVCocgtdBFUKBQKRW6hi6BCoVAocouXTexQV862Pt3gcw41+gKiWk/4rB7xKmfOIFfhEd/UJN1Pq8X5AwnMCRLnZHOl9TrybOUScheLLeR82i3mHyhuaRWn04bRMbDPWhq2Tg/5xFKZ45JS1ZSTbXSQ8scxf0H9wNyHzQm6FF8WKZhezFNvoI7cx9bNCffV67N2ijhAirfZI86PpHvS7eD+nCKyS1qtz33msyu/3/2+90NZYxk5voFBHANu64PTOFcfMdvALgjW16vg3JxtJFxcSEFON5bxWK/Zh3N3xEe+6fDD94K9eOwZsOeefgTsiV0Jx1yk64JzUVYHsLxEt9HO1Czu38PrZqiAnONIEQfprMUpBhSvs0XfBLCGkXl8n/S4NATOXPcsztDziBslrV6RuO5HnkQ95Hd82zVgf+mOz4ItmzBfpTeA1zReWHyV4dxx4x7zH9aGvgkqFAqFIrfQRVChUCgUuYUuggqFQqHILV40TpA5Gs655mzPf3BiP2Zsn+YTfpH5wpGR8ZXfi5QvsEk8W62KGqRGA+P1MafIcPqZ/Pi2VSXN4gK17ejxw2AfO3oI7NYScoYjI8iVbNuAPv/DlYRj6DSxXSXKe8e2CJJfR4+jtmr7NtS4DQ1UwXZiCRYTTsFQvE3DoUAz5ouTP5C237FlK9hbtyRcGcc0rdcpJyNxgD3S2pEsTPoUa7TXRRLoka/dA/befVet/B4cQA7X93HfThvHjNs+38Exmi/hfBCSchrS39kVtqlyU8Z+2LEN49j+48MPg734wDfAvtrgXB1cOgt224qTObABY6aGpBvsMx9FvOwGD6/hgUHsh5Bi9l4+jpzxN06eW/ntcHzE6ZaJK3WYM+IM+zSmQR8b3+8lvC7rYYv0zYBH3xs8dRDjHn/tCdTyvvUNmJ/yH+47AHaH722WxpXbYpxvAKhcLhz6JqhQKBSK3EIXQYVCoVDkFroIKhQKhSK3eNE4Qc4VlRX7M5Pzy9je5mUyNYUvMOy2zM+jnmlwaBjsTqsBNusCmSNgcLpCnzgkmyM8cfwIlP2P//EXYDOfcJK0Vk3iNi7Zh7nOxgeRG5kYS7iRfhf3HaK8epdddhHYp85gzMuFJvZTu4XcabuN9XFeRntWGHoWDCgmakB97uRBIz6C5/pVe64Au1pJ2sZz06fxI7mc9HsUG5TGl/MqniTu9MCjXwf7/T/4oyu/a8QJthvYxxwrttHEubmwjDEz02NBujF97ZySnsNl09Z0ETco/+CDJyhGqsHxnyCt3pWWznDHAuXNo7i1vof6uOYcnvdCH89zeHQj2AOkh9sQEk9ncWOBk38U4QfYTx6dF/O2XoH1ssjr2flJwwDHm+OS9ml8ez3Uid55551gv+dNeE2/5TU7wP7rLz8JNmiJHe1u+rcPaXlUGfomqFAoFIrcQhdBhUKhUOQWuggqFAqFIrd48WKHZuj8Mord8gyj+ifzAAAgAElEQVSXr138oucPJP/08EjCtQyPor6pRPm9js8jl9ElLitgbRWDRGoBkUzGIgmWKD9gY5l8/sSFdYgDLFBuu4kNm8FuN3D7vs0x0HnXKBbo+MgQ1vW/23uzZ0vOK7svxzPf+dY8YKjCTBIEZwAtzmRT7MFuqiV1W7YsDw8OhcN+dPjBT/4PFGH7yXa0okPRg6zuFk2TpoJkq0F2kyBAgiAmFlCFQs11b93p3DPl7AeHb37rl41TZMjhcMTZ6+nuynMyv/yGzDp7fWvtqZ7r/FnVBZJ/7EQ6BtNK7yVzTDcnY+W2EnBdJWsRwufUx71E0JU99bjqo8qynp2cm/QCzUAB5yzhCNInSZSX+d43vy7x85//sp5/5nBA8N/s93UMSui4btzUmn13d7Ylvp++ssQHCmeukgsroHfc3dJr7ZSqC81zHZNb0PbdrpTXu+T0wwNDvc+HO3qtY10d3xbaNhnp/BnuKsc4gKduMdUx85x10tC3ImSNx7Cj9xVibvL7HAPf0f5VqA/KtnCM+EwejfW+/vTfvC3xf/YlcOXgfV1b3SyBIPb/RdgvQYPBYDAsLOwlaDAYDIaFxf93tmm/6hd+xRzm/48qJ3lRrCmJpz/y8aO/Hzir24RfffUnEvdgZcZtyb863t/Sq93WtN4a0plbd29LnIfclozt+thS/e5VTZdt7TglZrCVe4qU0hjb8x95WPvt7Bkt08O0MidckWp5m/Hefv33UNNVOXKOIcZzyjQQ7KM2NnRL/APn1D7KzZYH6MP0fulPlF4qEH//u9+VeHlZJTjnz2s/dvr18QRpuRQylCjW+3z7iqa39va1jwmm3vISlmCO3INyjMNE23JtV9fFbqjWY1Nf0+M5aQG0beLQDLugHH6Gz/Y8TXeuBfr51Z7OlyWUJPJ39V62tzQN7fYSt/pTflOyD1E6yYcEomGr2FAe1P9ANRalQcx3Bw0rM712jrnaXdaLnzmjdnUH0/r7t29pyTmu0X8X2C9Bg8FgMCws7CVoMBgMhoWFvQQNBoPBsLCYywlurqDc/X32PNOix80g85vcXtvYftvYGvyrHXfDgp9tpLb/3QjICrV3IkgHuu2ar9jdVd6kQG67FSmfkCTKP9wXDekJtkA7Of82tlOvrenW7TDQtu3taY5/OFLZwmSi3FqaK2/z2IUHj/5meZkQ/OTjj1zQtq0rX9DB51lyariv8o8pLL26Lo/T0fEKsZ2+Au8yAT9FHm/trNpBnUOZp3an/r/nNKGkBdZiOTkgja9eViu7S2+oLdpv/vu/h+9rW4e7O0d/s09DyEwK8HQvv/w3Eh/cvePNQ/MZgHtzbj0EWTXNdB0EsBrzQ72x0AO/mejnM/SrSk3m82YjPC+2cGPddV1Hg7auswgnPPBU3tE7VvOZLOs1dbhsz/O8LNf7yjFGIX7mVBWfuxq7z2XyjRxBWpV5la4jnrvw9firt5UrvXDxMYnfulpLU9oDLYXlQzp2v9J882C/BA0Gg8GwsLCXoMFgMBgWFvYSNBgMBsPCYi4n+JmPPy0x35jUjaTQ4mRVnfsOkJymbodxwdx1rnGCXDjto9y20WgsyzXXncObqnFt5Nl5rRyfb3WUSy3TmkPah/5tqac8zGioOf9BX/mCqlLbNebp41j7udXiENdjsrG2Ikd2t2/gs9ovFx88LfFbl69LXMKa7KlHL0p8frO24RqAE/QCths8CnjWBDZKw33tt+lMOaEYGrfnPvLBo7+7bAv6dIbyVgewxZokqs361K99UeLlgfZzmtXnL1B2J51h7qFlo6FyI9/++v8m8bPPf07iDubidKTcad+1qwMHRC3W7u5dia9eelXiZZQrKholpzyNcXeu5jGGJnWAeb2Eckbkvpba+g8HifJPN7eUz05Zs2oO7reFID1U/jmL9V5meNaF1N86ersMFn7k/JqN0zFsSvswJvjAfW0Z530XOuEAZZuKQufHd1/Q+fPIo49I7DscYgAdcAtzKSBxC+3uPNgvQYPBYDAsLOwlaDAYDIaFhb0EDQaDwbCwmMsJfuqTyglW1E8hD1uQE3S0HFGE7+L9S40hc9ckR2bgYYqG0Z0bazvJdTBm+aEsnX+tEvdS8GYmN+uWgKui3jHyNG/+5CPqO9nQR3r0FsRRjJH7/Rxam2SmnA95EuoGP/KU+lCePqWemQ+ePaXH12qfynZPuSpqOafwrRyPlWc5OFAdIDlC+nm2YuWEzj9Ya/mW1rTd1D/l4J8598JA+al/8I/+U4mjSHndzNEGctpSGJbO9Frf/vq/lPj4MW37xsZxiQPMiFZHPTWTUc0xUvZVQuf53rvK4TyN8X/6KZ2rDb9gzkXcvMu1N0qlZdC/gftK4bFbgmcboUbVrS3lkN2yPyl8bKnlHY6gQcTzodfT8V5eUt5/f195XZYsC6p6IFoRnrHQcvJZ1Ia2c32gc3Myxb3h+7vO8fvrpzGe4AgDjEHICYZBvnRJvWgHju/tFFw4587fYoL6t7b4b4P9EjQYDAbDwsJeggaDwWBYWNhL0GAwGAwLi7mc4Ay+lQHrYvn6DiVHGDr+jFFALYx+lx55UaTXCuGpWVXKKQVMAbucIuuYgQsjyF+W0OaQ+/Shh5mXj04T5ROoWUyhh0xTrQcXQi8TtZQj4Jg0eBeHS6mQ009myvH4uNapTfVEXF9XPiroLkncais30nX4KHShdzBUjm82VY5ne0v5StbRY+0yTohsxlp59RwgfxiiTwvMzRzz6amnPybx8WPKjbGOWumYZKYJ9LLgn1747jclPthRf84vffVrEgehzsXR3j2JW12tu1emdb9kqfKwW9uqA721dVXi0+fOS8ySjgH7lc8LelF67w/2S4PrBg8fNnTJug4exXxw63ZyTbJl1IWO4aFbgiOcjpXP2gefPcZcjxz+Om7pGurjObg/VK58fKhc5/OP6Jq9sq3P9Dev6+eHad22rFGzj56q8znBNNF+6ff1md3t6DqbTHRMdu/V3qHkZX9lv+c5sF+CBoPBYFhY2EvQYDAYDAsLewkaDAaDYWExlxPc3dXcNf3b6A3okY/K6lx3FOml6AWZZdDa9NXPMYDGJPI1b99DvtnNIZMXG6O2HI+Ln6LneSG4jRycQQX+KUA/xHGdx8/AR6bQPyXQM1H4F0bgPpCnj1CzK0KtPJe/jKGdC0Ltc/JsrKs3SzWHH2A6zKbKPySd+vPkBO/eviXxZKrnJg/bAleSYP7k0I2Nd7YlLhy+IoDGMGgrb5Zinp84p9zpr336sxL3l7RfJxN4ZDptJdfx8o/+WuI3fvpDif/ub/19iSNwgA1uHfcy3t2SOB/vHf29u6djcOXeTYlTaPN87BEo7yfNwnwip+ROdkptC8rA8N93PpsoekQ3ed1Y+aiWrEvWzdMvr1LTink+Zi3Lrl5rBXU7E2hBfWdd+nxuYq4WeH7s7+1IPMCz7FMnjkn8+KPKX79zp+Yv33xX+ee79/S+yOGRE3Sfe57neWfOnJF4b29PYtardPXanCn0om7KBE0naDAYDAbDfWEvQYPBYDAsLOwlaDAYDIaFxVxOkFqMphQPtanAjaUO31HQZw5JfZT082LErB9FDRq5j8qv8+xxBI/MCbxEC+aytVvIR7L+VwGurCo0x+85HGJFMgw1uJKJ8pVUw0QB+KqZanGYK2ddPndMeawNX0Jee3igeidyJVlJHZHyNN1ezTmG8fw6inFbuYxWQP0j/F+h+5rt7WpbZsrbtJ0qk+UhfAmn2qdxS9vy+S/+tsSbx5Xr8APqp7StE6ce4auvvCTHfviX35L4S1/+TYk70DCSPKsC1ASE9m+8e1vid9974+jvnUzvm2u2BWKN/r7UwJKXiTs632KsYfdOqPtlXUzqAjlX2TZqQRt7FJy5yuccv8u9EBm8RklQ9XrKtbfQD9QwuveS4jl4+7bqZd+8puO5j30c723rmH54Y13i0yvqJXvm3Nmjv7/86Wfk2DTReXxtW8f7z7/1A4nJ6965oxzjlJwiuVi3G30+g8kv6/Ff5ded/RI0GAwGw8LCXoIGg8FgWFjYS9BgMBgMC4u5nGCjVh04wsDncdaTqvO29PJjzbYK/BFr+AUVmtpTbqzIWJvMbYu2m5xfDB/TGLxLAIIiQj66qsgJKkfgfrsNHV/OduO71N4MeprDT6E7pF6KWh23LwL4s3rQfQUY/zY4nLzC+Cdoiwd+Kqs5APIgIQRuLdafxPEZ6gtGE+X8YnCA9J51u4l6yQhz9am/8wWJP/jRZyXOMniDsjamht67V35x9Pf3v/N/yLEvfOHXJV5bV10XT1ZAH+mVOgaje+r/+eqL35F477DWlXWW1aeWNR7J+VfgOgt4ak6h9WzDt3RpXfmp3DFpDTEm8/jD/7st0GJS0wiiL8C6yt35Au1myBp+uHaO+wygnw2xBgOuG9YvdPq9Au/e7WlbPvGxD0n8o3+rutKv//UliV+9qjrRxx8+J/HpB2o/2DPHwG1iY8ZHPqr1Zq/cVl6/wBp84W9+LHFezPeDlSdn413TmAEScc/JPNgvQYPBYDAsLOwlaDAYDIaFhb0EDQaDwbCwmMsJJsiNtyrUB6MukPyWk9MNkdvOUaQtw3d9aO/o79ntqodemSsf4XJpYZucH7Rz1PmBXyDP1tSooPZhW3k7lzupPP1uEigfMFjWmnz0giRfyZp/TU891m10OUHo/FijD7xtB5wO665xTBs1Ht28PfgkeqDmB8oveCPVP0UzHX8f3Fi7qxyS10NcuGOiWDlxWuIv/M4/lHiwpOM7HGo/UDd27eoVib/9jT+rz/2lr8qxTdRoJPcRgV/KpiOJ05HqI7euXZb47pU3Jfb9ep0EU/Cs0MeV4NI9rJsIY9hFPwQZxizQORA56y5q6336E/D44NUy6m8bPpSIscbdeoKsP+pB10fNWh91NB965jmJd0c6N9997WU93VB5usRpS4HnZmegmsP148oZ95d1bt460DF946p66L75ntab7Hbfqs+Fen/9vp77t35H7/s/+X3Vzy5Hyo1OoL994a/RD/Sedp7hjT0k1LDzQdlY1e8P+yVoMBgMhoWFvQQNBoPBsLCYmw4NkDKAiqGxfZ+xK5nwkb7g9vtG2o9pPqTWiozbiiHPcGyxilhTYczSMRWbV/oz3qtgc8TUW0fThHGsaYPcaVsLqVL+zPextTtAOoTb1FkypsT3S6Q43TRCUTCdqafuIP0VBiy9RCsrHYOCWgHn/1yNa4/V3mu2rWmajqfnZvqUFn6tNtoOyYXr8ObjPj71ld+R+PjZ8xKnOSQzLR2Dy5euSfxHf/C/Svy5L/3G0d9nH3hYjvnol9lILd2mB5rOysaaNq7QL8N9TbX1O5CeeE7ZHqQ3fUqiOFdxrQzpTkoB2lzTkEG50iNKGKIQbcE8jxo2aRJKWR7P8zwfsigvrJ8RJbbjBzHmDmz0qtNPSbyTaxrxrXdvSHzjjo7p889+TuLMkf+Mr7wix9q5PptG22pF1m7BiozyLSxJrtnRqF6HY6zJYE/74V/8iz+ReK3170n82U8+JvFjDyvN8Fc/UMtAllLShmL8Ie+ijI1zdR7sl6DBYDAYFhb2EjQYDAbDwsJeggaDwWBYWMznBHPk+MEJRty2iny1a13jF3ouXrgFu6fY17w75Rgey4/QJsnZ/s9UcwHpB0ujRIj9itwnfbGqucd95/8aFXiSsiK/pPwluTOWL+KY+BVKM001r+/alYUxBxTyC5+SGL0vcoacD0mmbXElFZShTA5UAuFBAhFA8lChXyLweq1GOSyW8qr/Hmwel2MXP/xxbXcB+QbmE8vXfOPP/kjiZz+ttmvnH6y5khDc1GSopXEmu8r5jBH74J+7a7plPjtUDnGZEhxnPrHPcowfOcAQ3FmEeyFvH/jkdRWu/IOSqJKccDh/7nWwvb8qUYIKbfc9lyvHesZPhbuenuvGe8q73rx1U+KtW8oJkqd767qO0dV3a1nLWqztfP6hE9pulDfrRuDGI/3+NL2fdMA9Tqsy/eT+nvLR3/rejyT+0EVdV7OJSiQoY6Btmrt/gZIISl5aeG4uDXSez4P9EjQYDAbDwsJeggaDwWBYWNhL0GAwGAwLi7mcYLSnFkytHng6lruZKSc4duJpiBw8OT0Ie4q+2gMV4KemHvV0sEZzLL46jfwwSB1wgFkKPgL3GaHMC/PTh0PwWw6n2O7C3gl58QhWZrNUuTFySORpKvAZFfRRuVPuxq/QZ7RYg26wzOfzNNRbNiy/nP9zpbDUIifYx33F6JcA/UDNYqulMfmG3OGrjj/4hH63qyV+sgS2aLne99f/RPVSDzx0UeInP/gxiZNRrQPbv66awmKqHM94T/mi2Uy1daunT0rMajRtzPVWnzrVem6z7FaeoCQQxoDj2/VgL9bg1vUwtb2hM2ZhQA4POjEPhzH+MdZsgXJXPjhicu0uKhDvr93Q5+L1PeUEd8GV7WMM2baf/0S5tKtX3j76e3NzTY599be/JnEP5Yo2D9VGb3n7DYlbmfb5BFrAPK/XhY9epq0Zx/8Xb+tc/t4Pfirxu1e1rFeAfuX5xJ4SE5uccYz1fvGpJ71fFvZL0GAwGAwLC3sJGgwGg2FhYS9Bg8FgMCws5nKCS6FyXx50Pz1yCG3VaoQO70OdVgu8GjnBCv6cKbitCXLhOfLJhcNfJNCQpIXeR9jwRFRM+vAGJR8VzeefStc7tKOcTBtlnfjfkgQ8W4AxYRmo6ZwcP08fRLg2zp2T84PXIzkfeoVWDV/Tul8y6vyo1YRmrQ1OmSWFYvi3cr554JBd+dTFD31Yr9XVcx/sKTd25R0tR7S/vyfxc5/5ssSTffVBFZ4PvNj+PdUJJlPt86VN9V/srWxInB4qPxWDSwux7gKHnyJbnXJM0KUx1zA/D+6LHFCO54nrNRzFLFdGXR/QMAvF3aB0VwXxX+VoYPnLAHSj5ye6xg52lAO8t62c4Rj+r+fPKI/b7+vzabRW773oYx/GONX7+vmb7+i1Z7oOzj+sfPfW9l2Jl1eVc8yT+rna6+m+jN1dva/DQ72vyVSfyX/6LfUGHY20rBN9S5scoXuM5fDIT0vonTh+1vtlYb8EDQaDwbCwsJegwWAwGBYW9hI0GAwGw8JiLifYgaYoRQ4/AW9HHqYL/z4X9P5r47OsFzdLVC+33FftX9yids/lgPRdn4MfCFHnjHWtCrblALlt8BXttrYldGpfFVP9bkZygzXc6IEJ/jGH3q6FPHsX54sdDjKgri+lHg51E5GzD8Ephq35/6fKHf4yA5fZ2lRtHvmnNsY3AJdK/STrj7EYZmdQ8x2DYw/IscN9nWucD9/7N/+nxJ987tN67pbO5XtbtyROJzWXsnvjijYz0Pvqrqr/Ym9pVeK4rdc6vKmcYBDM5wTd+UbtLvVs5GU42tRqBiFrZernm/sC3AAnB3fa0I3B0JVrvGCxTPSLGzb8esGrR5gPPjWMiIcHyhlfx/OGvqduzx47pvzhzVs6lw5x7rPnHtLPX9P5lc6UzxxAj/2RT3326O//6J/8UzlG/eO//c63JP7ed3VdXL/2nsRZPt+LtskROp7LWM8lJsh4qL6k3//ed7xfFvZL0GAwGAwLC3sJGgwGg2FhYS9Bg8FgMCws5nKCzLuTO0tT+BKCr3K1XpD5eTnrQZXgupAvJh9BH0O+zSsnZ0yvzyDnueG/Cb4qoIAKGrWmD6G2pu1wZyH1TOQ6cK4QXBhr/HmxaowooApYl829Pq6VQweIUmZeFKEt5IhCjpG21a2zWIA3C6EDDELqxLQtFW8UvA2PNzRsy5tHf3cGK3Isbut9bG2ptiqCnnJtVXkbjqkPPmPn+tWjv0vM3MGK1gPsLS1L3IJ2i/q54S3lgJKJckBVR+dL5PQzaTjO6xl0YKwn2IMGtoAet1FnE/PHXacNXp6cHlobNupsYv7wSce2OGNWgtPjXCpQD3AKHeDoULkzeguPD5XH67ShQ3bW/CHO9cL3vilxF3U2J5O3JT55QnWkzz/3GYl/8rL6ll56u/7+Sy+rzu8rX/17El985IMS/93f+vsSf/3Pta7m1//iX0p8sK9+wQGeL6XD69JXlDrQEmvu7h2t4TgP9kvQYDAYDAsLewkaDAaDYWFhL0GDwWAwLCzmcoIVuQ3wUe3WfN2QS+SUrP8X0vsNfBI4ogR6uBRcVwg+Kpk6fo++ej8yv9yDRpF6lhxxAI6gBc1aC7yLgJ6GADnDgDW9qL26j16KGsbIbSv9NStyH4jBy/ggS8NQ+6FRI9LhRhLUnoyhh4wxt2L2acmakPN1gZzLyydqb8G14/BPhHjz0hvqFfroE09J3F9Wnm56qFwHPVSrsJ5vy5sn5NhgWdsSd9Q7sovamMVUrzW9d1PigJ68GMPCIeuDNrhudGlQkUcDd1aRp8EJqIH1eLg+niTKT2esq4k+7Xd1/hTYhFBwXWC+uHx2Yw8BNc1YNwc7qs2k/m1pWcdsd1c5QXKtDz/08NHfV66oN+hkono4+nsu9XQMH3tI59dnPvdFiZ/6wDMSv/Hmq0d//+kf/XM51oEm9ZmPPifx2rpe6x/9Y9UZfvJTqqf913+hnOEPvv9XEs+mzh6CUp//RUmtZsNN9peG/RI0GAwGw8LCXoIGg8FgWFjYS9BgMBgMC4u5nOAw0Ly8X1L/Bi/J6v31dzkIhjzXnP2sgE8l3s9V43UNPgqcUiustTfkNipojMibkfv0fb1Wm/wUzs98tVv7LoEfZwVusxvouX0KLIGKuXDqEGHCWTgayJB8I74aQKOYTcnDaVjQG5KaRYfn7Q1UG1XkGBP6N4JPIgdcNGo46rVJT62dv+h8FnxSpfzD9fdUe/el3/qHEnf7ytsl0HYd7O7otU+eOfq7v646rritHE9IXSg0rId31J+xTJQzIifY8Nx0OOpyRi9g8PQ8F8B1RC9IrpMAn88c3j+DVzA9cznAU3ye3DnnEzXPUsuuUbtQ42Ws//UlHf+bu+oPfHg4kph7Etqow/rkE7X+7uatb8uxM6fPSHzutNaX7Pg6d7ehcf3f//WfSPy7v/efS/zwxUeP/r59U31Kf/j9v5R40NW5urapPreraxo/+PDjEv+X//V/J/FnPqu6xD/4X/6Ho79H0GIeP6784yrqIr70kuof58F+CRoMBoNhYWEvQYPBYDAsLOamQ28tI8WAtEDMtCGtqVwrI6RWGluUuV0f6VGWVmIWMAiwhdpJ3TTf9LALg70T7aL4+UmIreBIUTH3Fgb1+YuOfjZCiigJUWIoYMoSNmj3KTHCe6mc8kkh0oCVp+nOuKPbrT2kR5mqm1Faot8W6yqmqzy6wUFukQdMYevnC0hwCvQL5RrdjTqtlCE1v7unW9iZke7BZm16qKmaNNE7p6whcraat7qaFo5QniqOdVt6kel2+v1blyWu0A+0F2ScO+XRmL5kn5UsfQNJRIjvFwUlERgTzl3n+zHLLLHcEDgOluZi2+L72DC6YYGScUyPL0G+00cZry7SpcGhWtdRDtTtqt3cmTPnjv7+5CeelWOtWO97cxmWa7nOjzt3Vb7x9qW3JP5LlD966MITR3+vr2uK8eZNtSJrw/pw7949iZOZPpM3kC4NYZP2zMdUcnHsRJ3qvXf3jh47pvaCWaKSq719XcPzYL8EDQaDwbCwsJegwWAwGBYW9hI0GAwGw8JiLifod5SoKbAnviD/VNGGq86l++AXImxRrjyUwmnYYGnY+H6lPEzltLWidINWUuAPyE8W5D5gF1ahtIrvkW8o5Kh+mddW/iD0aS/HMi/zuRDaz3mdOg4a44UyTuRZA9jmgb9KM+VxKaFwaT1yupRrxCyz07BBw32zH0BI9gfKRyw7MoU01T69dvm6xOuwNgtRSikCb+djboaw1XO5EJan4tb/dKLb69NU49HBbYkLlvWqKD3BOnEGgnIb0LQNO7FkOkGsvEyE+6b9WAEeL3O4ON/jngFKGrRtFVobkUvnumEpJUdKxOcDOf8l3NfZdeWIt1O1sutAAkE+8swplT0k43qMP/mRT8ixy+/8VOLJWOfDEuzjWj2Vb2wMlDP8BiQTUbv+/LGNTTl28ZFHJN7eUp7u+Am9jxnadhflzjY2tQRZjuPHT5w6+nt1XTnAITi/PvjJ+7hTCuyXoMFgMBgWFvYSNBgMBsPCwl6CBoPBYFhYzOUEvVDz5hFttu5TvkJS6SyzQj6RfEQMfRt5PHy/aCSB6+Pk6CpozshdkbeLwduw7ZHfwnHyLm5bWJ7qPuWM+HlyPvw+tVfgUkLn3tlnPBe50RL2cTNPOcMC9BY5H9cmy4fOizZWKXjXAHZQjSo9OB953tMPPCzxYL3mCDPo+miTduL0AxKXFA6yRBC4rxCcoUuIju+prRXnqh/ouQ4n2xK/m2lbq7ZadrU9ajtRJsjV0+K24hhcJvWzWKMR1yjmS8nj8zSu5Oywpvw5Oj/P87wU/FIckOEEr+/ax4E35Zos8d0Lp5WvemNPuVHqkB84eU7ihzA3h3u13m4NlnwdrNH9RPcQbE+07ds7qmHdPdDPHz+mfPdXfuNr9bWXVN+6is9eu6qWfRHm/eq6cooJSkZdf081ridOnpW44+gnyemSb+ZcevbZz3q/LOyXoMFgMBgWFvYSNBgMBsPCwl6CBoPBYFhYzOUEyxKllJiHJ38BLs3VqFFr1yhXEvIwNWsonQOdGKH0BbRz0N75rNICzVlF0rDhWznfB9UNWT6GJyvgY9n4NLgNxq1Y4yzHvTifD1ljCiAHRB6PurIYnE/cKG9U31vgk6ukDoy+lYoS41/gPgv4op45+zTOUHNj5I9uXlOu47GnPqbnBmeUoHwRtZzkM9KhU2oJayzuLkvc6mt8+uS6xJ899V9I/M67P0asJWWyQjkhd0ypKQ0DeMcSKE8UkW8ktw4/WI5xntX9WmBMfCz3OJq/DjgfYpSBi+1jceMAACAASURBVBo8nzNGuO0IDwjuCej3lfPtv63fn4ELu7enpbZCcGu+s06uXrsqx55+/IK2DZrVK9dVu7e1g2u11Kf0i59+XuKe43uawkP1cKj6xx/+6PsSP/7okxJ/4Cldc92Bll4ij3flnTclHizV+ss2PHYnE11zZ86el/j5T3/B+2VhvwQNBoPBsLCwl6DBYDAYFhb2EjQYDAbDwmI+J8gafpTX0ffSp46w/gJ5kgbvhgJxFTnCxvsaXoHkM5xwPvPV5B/9ar63KLV61I2VBYsduvo4cF+oq0dehpok1s0jb8c6ewHO59IwjfGi56nPPp/PjZLnpQ7R5Yg4JuRZGrwaLtaYT9Ckddrq53j+/IdwxXocdrZvypE0gWcq60kOVXu1s6OcTuzDxxC1zmLHS7K/pn6L7a7qwmYjeEMuKyd45oJyRB94+vMSX7n8ssTf/sv/Wdt+UGu1yMtX1GaSv4bfb0PLh/kQoVZmJ1JPzdLR42bgBDn3EvLNvl678Wzi/gXwma63ccP71ef618cmef7ehoRep62fHx4qT0f/38lk5vwN/81t5fzOn1Lt3r1dnZtj+Lm28Wx78cc/lPgb3/z60d/L0Am24YH6Hrjz0VDv6yRq/q0V6t/bBd+9uqJzezSuNa9bd9QjtzfQdVJivhQ5q5m+P+yXoMFgMBgWFvYSNBgMBsPCwl6CBoPBYFhYzOUEAxxucGf4PPPwyqXx09DW8X0M0qgo5/MNDS9Rz9XD6Wezgj6UrOkHjRr4pxa8Qn14rLIfSpcbJZeR8748gFwqfEkbdRfpsUpv0Zp/YL+wZhuVmLSOJBfSqNNI70jnXqi9bNR8bHjLwmvUm8+dnlhXv8+1ZeXe3G5/99Ibcuz0Gf1uhTGaztSf8/qdVyU+t6F6KS/R+dbq13qpZKTaq8nelsTRQHmZJNX7nBzqKLV7OjcvXHhW4q8NlKf58ct/cfT3uzdUU3g4VZ9S6oTjIMbx99eFep7nVZX2Q5qTk3b3EMihxjymBy8/32wL9iCQ/3SPl5z5eFaV83n8MxdVD7f2qnJpWaVjtLauJOLhYc21FdhvcO22zo9OjNqE6zpf9kP9/o091KMcq260cLjSFu7L9TT1PM9LUuXOt+7ekvju7WsShxFqo3qKdkc1jH3HN7WFWpYprj0Fd5rh+DzYL0GDwWAwLCzsJWgwGAyGhYW9BA0Gg8GwsJjPCdIrNCTfhNx5QQ1bnXin9qZRu26+paZXgvuiP6dP/tJ5vzf4pAi1qNDugPUGyfGxdmGD7iR/Vd971dDizb/xhm8puTN4B1KbFwfslxp5BW0VedWKddX03BE4xIq8S0UtVv132DCLhU4wAPdJXWDOtuu1Hjr/cYkDH96D09qz8+03ldP7+Cc/LXGRqtZqf++qxNfuqhbv1LLWh0t3lVtLDusx664qH9SBdqoPv8USbclm6ktJTrjItZ8311RX+Jtf+a+O/t7ZUw7npZ98XeLX33lB4rRQHiak7hQcYCfSMWj+D7yeXwn2AFRY7xHnNeYT+ehG/UAscXctNCqT4sPcnxDAp3bztPJyJ87omL72mmr9DobKMTd4/jltGeG7X3hG+ey3Ah2DW+AES/iiRg5vtwc9LK9NUm8yVT/PbWgae33tF/q9cm9G7Gj/uC+DnOBsotxmVVBn+v6wX4IGg8FgWFjYS9BgMBgMCwt7CRoMBoNhYTGXE/R85lVZAw4fb/A8DifYIPnAL+JcjbczcsJZQa4MeXqHQyio+0FTQt5IwKuDfwQ/Qd/TINLvt1o1B0Q+kdq6hodmw78VvoXQ8rCmn1+RO3WPzdcUkuMhP0k+kzUjG/3ktMX3yBGTd8H4gifJMaatSPmGB858RK+N72/frfmvEvUB18DTzXZV//Te7Zck3kvUe3Q41DiaKX+RT+u2xG34jLZUUzbaUW1W3FNP1PFIeZgY/o69gfJw3b5yjO1eff3jx5XL/Oqv/1OJH7uoXOnbl7V24WXoDPto64cf/ZzEHXDzwejq0d8vXlJPy5ujuxKX5JDpW9qYy3jUkX9yaic29htgnpNLp8Y5bOm1nvjoWYnfvbIr8f6B8rrzvI7Jy93aV47vz1+9IfF4rBxygnqlQUgevz5elVzPeP5D9zed6bVu3dZ1swJv0AA6Uz4bO05tw8ZzEM8mcoRFpm2ZB/slaDAYDIaFhb0EDQaDwbCwsJegwWAwGBYWcznBpRZ0PciV59Bq5eRtcsenEjxZu6X5YGrO4kiPz5L5efMwhj+oc+2mhyX1jNoNOXSDBbgw+laSn6KmJXe4MPKPbIsPjq8FHSC5UV6bqsO8SCV2r0/Or8mzzD93QzZ0n1i8SqnFxNkD8svwZ22BpzmxoXzW+rp6hWaZztXXfvri0d8XHnkC19ZLJ4VqkG5NfoHP6/x45873JX4wU+1WVNVjepgrl1GC2+iua7240YF6jRaF9kvUU270sKN11+K2zqfllZojPHZWrxXEytmdOf1hic+f0xqNf2f6GxLv3bgicVrqmGJbgLe0WmsYL6xelWNXh8ovkRsD9d3QERbUwIIHdkWs9Eglv9gos4l1EtDH9sE1iU+dUc75YKg8ntvU+Y7LTf309r7O1eWujmEIvTafdQ0toAO/pE6YewYUO7vKZ49RbzDG/OKeg5njJRqEOp4rK9qnyUT1ktlMudJ5sF+CBoPBYFhY2EvQYDAYDAuLuenQNmyOmMpLPU3ddJDy9FrOD2T8zI7uk+brBNg+jZYmY712G1vN2861W/zZjVRammF7LayGEqassL26jXuJID1wy5M0bNCYaqUdFNIdTPM0bNFYkQpZRTe9ym3Gs0K3FbM80f2kJu1Qt+ez1E7lpFu57ZwyhQzXyrkFHunzc6c+oG1pqRTg8EBTMTeuXjr6+4tf+V20Rcf/zuSyxJNCbdACdMRedl3Pl+u1j2d1Omwp1bROlWoaZ7j1nsRFSVmKhJ7PudiGJGKgsoX9bm3pde/mbTm2fvK4xEubpyTuDnTNLS3r51/42V9I/NCDKhUoe7plfuKWUproGIQenheUNTUs+ihrIMWBUl3u8wed2pj3DQs3WCEiNxvFukbPP6b3ffkdtRebOqW35skl/jakGcrEdXVNdjv6LKTUzH1WpSlLziEFTblXOF8ycXCg0hCmnQvQa12nlBLLvOVId3Zael/bKOs0D/ZL0GAwGAwLC3sJGgwGg2FhYS9Bg8FgMCws5tumgRNqlBDyyPNxQ28N2ha1Q83h5uDZMpRh8XDuoI2cPzgjV3LBLc4ZZANFpXEH0pBe3JU4LVWu0Qo0706+KnM5R5/2P7CDKyFpgE2aX+BewGdWkB5EsDaqHA6xBT6xEyt/lGP8M/Qx50OWoV/x/cjhDELYpmUsd0W5RmPuadsfOv+Mfh5cx0s/+BuJ1zZq/qo/UFnBbKxbu+/u/lziHuYuuVUvwFbvlo7R9aLmK5ZSvVZvjHWS6twKC/DbnHuhzt28o2OajZWfbC9vHv1dYC5FLZ337YFyWd2ejuF4qBZuL/7kdYk7sGE89dQxidNJzSHNhtjijvHEloGmlgDPphDTh5Zf7rIswbtG9ykDR66sUcUJ0+PRD52U+PpbWxK//mbNERZzJAu/DKaQBi33dUynB1ouKXKkaZ2O3neaYn1TnoXn3miKEmQHexJTilRAHpSM67ZGkZ57SrvIWDnj77/4ovfLwn4JGgwGg2FhYS9Bg8FgMCws7CVoMBgMhoXFXE6w72uelRxPQB4HfJXvWnSxbE/ZMACae25qcTo91SiF0KTN8pqfKHPwC7h2G4RCG5qiECVfyhn4yEw5wgD567bDhVEfWeE+S2hzYvAPIUsjQZsTx+gXaDddSzdatlU4N7U5HViZ5SW0XNAkZig549rsFT51YLRgwhhhLvYHyqucPH5B4t095Treeu0nEn/uy7XFFxz8vGs7b0k8m2oZH2o3A1YQw73QAq6I6rk+ibUfxn2MP3jWzgxza4oxqpYljnzlgKKOcohRq54vnSXVEIbQXuXg5a5delfiHtbkaF8t3jJwZctLysUmRb1mJ3rbXgfzOm6BM8Z8CfBoY2muDPsA3D0EtBKjDaKHNcvxppUZJY3tgbbt4geUG730dj3fsH3hVwa1ejEa0+UYu3/fRydIEWNBu8lC5yZ1gi0f/QxOOkvqMW+jnV3Y/93c1mf8tVtazmwe7JegwWAwGBYW9hI0GAwGw8LCXoIGg8FgWFjM5QQPbqp+pSrJ8WievQV+qutoUjLwZLNc880F9Cyry8oXFNARJvCa7Mb0Dq3bksBPL4JAZZZr3py2pmWIsivoB3qHko8ok9w9KMjhSxrjPj1/hlj7sQtf1BD1aQLwtLnDjYBm84JovgdiDn6qysGroB9ikGWhE7P0DX0DI1/HswUv0A899dt6LXhLvvDtfyXxxpryXatLNXe2e/uaHLt79xWJ2+Cje5G2hVrPEjwuuXRXE0u73Qj6yQpjlMZ6rrSvY5BWysN1Jsq7DMbQoTr6qvGWjsH4nvovHtxT79Bj5x6SOGpr2aa1zU2J14+hhNCOemZGDhe/Bx/bbo//XwcHCK0mZYMFxiiGbtnl/egFG+CznLuBz3+gblTDEOvig09r2a/XX6r7/e0rqiNt8JP3AXm8sKVtPX9WtZ9v/aLmI1l2ibyrWyrP8zyvYkk5cKN397TcUcx9INhj4GX1MyBcUm67/4By33fv6LxmWb95sF+CBoPBYFhY2EvQYDAYDAsLewkaDAaDYWExlxP8wOYjEufgbULkgKOGTqzOy4Z95VEqaPEa50aaPRuP9R+g+6nACbTjWg81zvQ2yX15keaXC/CNZarXGs6Ux1vpKS/XB0+XzGodod/gh8BlUIsH7U0b+pgMHGCSqX9jMoWG0ekn6sBaOHcy0XM1PFdBlUbM22PMZ0nNCbCmYwdivS50n488+VWJz514VuK/+ua3Jf7Faz+T+Gu/+48lngxr7qwKwIXtvqNt8TnXNB4n0KHS17Cl/KY7Yhg+z8d32+iHHLXuMvA0JVb0YU/9GmeVrqOlcT3Ga71H5VhrWTnA9ZNaD7DVUs3h+FB9SZ94XJ8fPcyHg9tXJe50a99TWKR6bVyrUdsO64r+nverZypDiudYij0DPBc536oiv43nD76/jHXz+S8/fvT3nT98SY4NR2gL0NDyAaOxfv+xD56WeG9YH791U+fOMXC8MzwH9/Z1/HM8IKIYtQ03ND52QsekN6jj048od7l8QufS7X1ty/u7WDdhvwQNBoPBsLCwl6DBYDAYFhb2EjQYDAbDwmIuJ/j4cdXqTRPlhMqS+jnNR3cdn8Kwo3XOQnB4FfRxzGxPp5rzZTGqXk81Spnjc9iFJ6JbM8vzPK8EDzc+UK0VZT8xyE+/Te5L9S4dh2sLyQ+hrlkxVX4pHWlbWDerbOl9+8i7++hJ10MxSdnniDN6rio/OS20LasbaxJHGPPUubeSxcSAwNN+2rjweYlHE+U2Xv7ZyxJ/8au/K/FgVTmFKqu5seLGFTn25Pp5iUMwDCX6YTxT7rQEJ0R6yh2TAmtoNNZztds610pwxCl0oAXqcNLHNoFn6ySv/T+LofKFvVT9F8vD2xIvnXlS4w3VAa70dQxL6EzLRMcwc7h0elzmCb1m4aGL+2S/wqbSK8Bvk6OW71b0JcWYlNS7oW04XoJTTgJt3JkH6z0KFx9RHu6nP4UnZoP6nM8Jpolea+uuavc+84XHjv7+4z/Umnw7O+r9eeLkCYnH2ENAL9E+ahmWeJY9+ekHtbFRPebUYmbgaYuM9206QYPBYDAY7gt7CRoMBoNhYWEvQYPBYDAsLOZyguWh1lGrkJePobebQjeSpjUnkO9BUwhOqIs6Z0QXfnsFvEfTQz3/ZFrnjPMWODxfRUijlLXF9Nop6mqxtpUXauzDAy9ycuEVOEBSYxGOt8FtMDdeFNRLQXeIe+k4tRFb4LZ8eAVG9A4s6WuKxu8oZ+RDi9V3GpPBdzCIlS9Y+tjv6XdPKTfy3T/85xJ//LnPSXz+QdW87d9Vf9Dx1R8e/b0ZbsuxlSWt79bpKbc5TXRM+h3MB3Crs4xaz3quRy297xyaw6b3I9cJatlF4OHAyyQzrbM4G+0c/b27pV6hXqB80aCtnNDhDa3RGHlPSdxJVTc2G+vc3hqqhvXRU+eO/j67+oAca3nKN/Xb2g8NbS/WYIZ1RH3laFZz7wlqDRbgeNNc251gLhfgM2NogckpJjm5+brtH/2Y+oq+9Zb6OY9ZePG+0Pt+5SfvSfzIkzXP9+gTWrPz9VdvSHzzps4XajOb9Qc1Pt7XddZLdE/Bfla/fwJw2fR3HQ6VIwyCua82nMtgMBgMhgWFvQQNBoPBsLCwl6DBYDAYFhZzE6cpct0+BHPMu/YHym94rvav0jx6CK2eD84vQn3AMlReJgD3EaTKdXS6dY6YesYSPFoXGsUWSMHVvl47SZT7nMyUx6GOcHfH9eDTaw/gG9gB3xigRiP7LYLXJNUx1An6Zd12ajU9+LdWMLZscoIaVin0VCA8c0e7WaAmXwB+YHBKOaGr7yin984vLkn8+x//tF4LY1Im9Mx8++jvjq9cFxVj6T29b9ZJLDBGrLvmg5fLnX6v8N0GScwabihmF2JN0kOXx/usjeiM6VIf2jwPPFqq9f9aWAfvfv/HEk8Cncsz8HwHud7bk46G9iQ4vzVoytoD9fttijF1jLiOyFf5DjebpNAYYlEVmfJPJZ4fKa49Gio3GobkI/XZOE1q/vPCY8rL3npO7+Mb3/mBxL9iuUFvf0+51j/+g3oMv/BrH5Rjh9t633fu6X0FWBczzI/dPfUivXxN9xBk31N+84u/VnvXttvwhsXcSg+1bVFMnv79Yb8EDQaDwbCwsJegwWAwGBYW9hI0GAwGw8JiLieYQB8XoLYZ6YvplPqZOo/bgl9eFFH/pu/jFPnkIEA9QeT4qa9zv797oHnvXlf9NkPklwu0xQdLFLSVI1zuqcdqOlE+auDkp0N0WgSuIwcPe/W66oJObui1IElqcKkVxiwO6nGII3B41CA2xkCvRX6StQ8DfsFBCl42OKY+lEWoXGmSqibpwiOPScz6cAHMIgcR6o2VNZ8RxtDageMJySeV1GYibuijNHS1ew1PRKw5esUW0HaiGxt9Th6/pO7QPV7otT3MxRjroNfRtj1wWnne9/agl8T5e/DRdTWS7QD+mrfelDjjsyelr7G2fRm8vo/9DK5GNgM3XmQazxD3+/o8CTAmA44/tbyePn9WerXX8atT5crLULV67bb2Ifcr3M9LlMdHo/oZPsNz8/c/92GJ/8c/+yu9NvWOODefbddvKse8D+/a//jv/fbR3889rbrfYaLn/vNv/TOJo2jH+2VhvwQNBoPBsLCwl6DBYDAYFhZz06EHQ/1pXWDLNO3EVpc1heWm6tJKf7bT9qzAFtcc2/F9WFFNJ9q28UzTIceOrR79vYwSHjG2X9PuLZ9p24Yj/ZlOa7IC6dRjq3qvHadUSoh0ZYHUW4H7PHsC5YmQ9qVVEWOW2kmdVB7LV7WQWvGQLuU29AJjxDQhx/BwVKdXBpua1j04UInL6Ke69ftvfvyKXsvXVFwVYAxhP5bee1viwNmWHnlMOWLuIfVWZDo/mHFi+SKmPGfOfMtSbffSkqYUE8xNpvFK5FpDWN0x/T7GXF5aqcchQtp3gtI4t25o+ursWS2l43e1lNKJDb0Xr9J1uILSW21H7jMZ6/gtYfu9X2lqrdPRcwcet9SjX0KWQ6rPF2G8Wl1dF+0WH5ugAcBRVEgjTyc6Bj+7p9+/26ntyn76xjty7PW3VBrEtO/90p/3gyvvunZLqZj/4PkLEj98clXi195T+0GmapmqZ6mlblefoz/5cW1t+IkNXQc/eF3TnVdv6rWHI32ezIP9EjQYDAbDwsJeggaDwWBYWNhL0GAwGAwLi7mc4LmP/7rEyVQ5grtbajeVFCqR2FipOYHdfc3Rxh7KDfV0m3E5VrugyfBA4qCtHEA3Uk4wccISpVCqGeQWyFVn4Hz2wFcuYbs1Lbr2lW7wWo6EotvVkkBhX/PqBbZnJ9iOvTRQnmV096rE00PttyhWPmLteF2aZX9XOZ52pFxpkmlOf9BT7izDduwQMhjyMu21eut3+8GPy7HVB9WiaTLUHP/j5/Taf/xH35K4HKmt2hc/rzZq43097k/rtlN20ALvSu6iKQ3RMYopJcLn3anf6WsfRywRBNnR9j1dB1EM60JwioO+8iyDJbUbSxz+Ow8hK8Bc6158UGLeVw7uNC90TbZLWCeWev5iVJfO2b6h41X19T43u5BEYd34aNvhWJ9d7TbKnzl2dAV41k6gY1J58+cDy4S1US5rCs7xlbvaT5e3f3b09907Kg3a2cXWf3CAm2s6vuOprtEE5fDoEdh1yoIV4Pivb+nc+w8/r2v2j36g/OWdsX4/gT0cufJnnv6QxPFS/Wz8Z99WTv+lX2i/bG0rfxmbbZrBYDAYDPeHvQQNBoPBsLCwl6DBYDAYFhZzOcHp1mWJ213NbS93NPedZdBHORzAsRXNq3uBcoCtJdUMpStqF7R8SvPLKXiaVq45/72tOkechZofXlpdkTgeaJzPYLN2AqVSoL0rh5qP9mCj1ll39FSQ8bSX9NoHN65q20Jo8ZQ+aNpqLVNXSD1dPYatnl7bZz8dO4PjOl2Se8rb5dBibZ57SOMHLh79fTjTjpiCUIr6qjl79Em1bPpv/ls9t0/bvVC5kWjllMT9qO7XEHpJP9Xxr3LlVcgh56UOyuFIeZcBOOR2u7532phNp/rdEvz0Ekpv8b5bsCIrPfJVysvs7tcc8mCga7KqcJ/guoKCtlh6bg9ln/Jc+yk+dVY/n9X9HsZ67naENQfeNYpY3graPvDZ5NJ8h0OKwWWWPmzzUCqppGUbfltk6IfLd7QE0Y9eUe3f1DldDq6T5ck6KPsG6tSrYG1X0XYP1dFW+vVz+tSazocU+xM+eEFLY21c0v0INw+uS9xtaVvOnDkpcYL59ObVmiPe31Eu9JWf/ULiArw8rQ7nwX4JGgwGg2FhYS9Bg8FgMCws7CVoMBgMhoXF3MTpKy/+WOK1JeX1yhIik5ZyH/uOx17MEkLwlYtQImQ80xxvF+VuQlwadKTneXVbQ/Bmsyk8UGeql/Pp55morjAHB0C9SwxeZ3a9zmdTUzZGyZ+woN5Jbyyhf6en8BPVNHr4/siRdoJuaPhMtvZUixNCP7d5QXVC/fMfkHj94ackvne7zvG/9tbrcuzUCeUH+uAyMvx37ew59TGcwe81OVRdagp95uG4/vxyF3q3Sr87zcB1gRvprSkPm2FQ0r7q4VpL9TphWZ5WifEb3dPjhfKTWaJtGyMOyWdVyvuWnfWjv5NIj7WW1yUOwBmXWBcRS0qhLS3wwBXuJXZKEmUeFvRJnVtFX/ns2b7y08lwT9sKDWxUaD8XDhGXp7r+4xh7HfCcy7hme+DlBxoHmzofytnPJD48qHXHLIWVYX374DaH8FSmk+jGqvJ8K/BVPn2s5tLPLuu6aHVV0/z6lk703UPl0i+c1TXdWdE1uAnv2O17qjtf7tT9/vgHzsmxNy5dlfhwjGc2H25zYL8EDQaDwbCwsJegwWAwGBYW9hI0GAwGw8JiLif4oee/IHEID7yoq/llP1KeT7g46JlKaG3oUxfBI69Vgj9A3FlRXVmRO3XzwOmUqebVy0xz2XFH78uDtiYDJ5gj8U7tXuRwjGVb+YBgsIrP6rlCcKegQhs1+4IWuA98oZzUGqU01bz5zl3lADtnz0t85oLG8brG7RXlADLUTRvt1JzgDL6j+wc63u1Q+2WwqvzUZKzfH8FrdvvOexJ3Du9K3BrXXFs+1PGMoPOkT+0EOtF8X3Vf7QC871h5vfHdeszSqfrOnnrsaYmzZeVCMszdKNb7rhL13PTArQWR3otX1n6QaQn+OIFGNdTJOZvMr5sXdHQ+eJXe63TvpsTFYX29926rT2X/BHSCO8rjJwc6vrNDHROimGq/JaP6ehPUomt1lAuN+8plDUfg6bo6f/xYOcQQHstfuajnu7VT9+sBOL6tFvxW8bwoIfzrovYhqDNvqatj3nbm1ztvq/658vS5eHlP75vr/cR51YEeTnRM/L7On0Gg51vt1s+y6Vg5/+cv6tx6b0s54FFinKDBYDAYDPeFvQQNBoPBsLCwl6DBYDAYFhZzOcHk9pv64RBegtSsFfS5e/93bAkOcIY6Vy34zBXQO3mh5rLzHeVCMqdmYI5roZmejzp4OfiqVluvFUNPNUNivt9BrTPn+rMMbYE/Y9gdIIYPKTxWV06rh2Z3Q3PlLfK27ToOwNNuZpqT37mh4394iFpmqY6/v6c8zs4V/f54WHMCK9DSLaEtVa7cZjpR3tbHmHYhHH3ohHKI6URrne3tXzn6Gza0XpijxuNI+aMcXGpY6NzNKo2prwyctsbwBr33svKyHmrZ+bHGrY5yxgW0d+mO6ufamMuRwyn78P70c+V4AnDd/oHyMOQUp6l2LKa6V0GfWTrz78YtPfeFEzp+caDjH1PLGaC+KOoyRpgvYa/ux1ZLx5+/FbISNT47JN6V+/Sx54B+sWfXdAxP9Ou5W+IZy+deUmofjqGXzcARUjfYQ11F179zuK7z/gC8+43rysuOULswnWg/5PDg3bqq/bq9q58/tl6Pw+eeeVyOfeJR5cqfe0z3JwSReYcaDAaDwXBf2EvQYDAYDAsLewkaDAaDYWExN3G6NFB9CzVq1P6xVpUrYWOONow1D76EZHWFelAR9HXhkuoCO+untWnO94O28mKlr3nwqoTX51D1LOSjaLq5zFpm0CDN9msurZXrtUYjzYN7oXI+vYFyW3FH+2EGbc74kvoQhqgnmDiixk5Xx7ec6bkuX1UeZrzztsRrK1qzbwRaJtlTfZzv1/22elzr+/m7Op5JX8ds9bxyAiXuizUdNA5irgAACNRJREFUp7d+LnFGnne19h49RMOXUE+uf0z5htW2jlGAuXq4rZq1Ejxe3Kn7vUVNaqVrqI36kAX+3zoDP7l5Qvv18I568s6G6s/oO9zY4ITyLD7qQ/pYg9ntqxLvvfOaXnsEzhBeop6vY3J7WHOCmyu6nrNQ52oBLWcL/pwnjms9Uh/9Nj3UtrWdNdxb0XNRizvZ0fGN4PfagrY3m83ns1mnz/Xwpdptsntb272kz4eE2t9t5YQ70A2eQE3Hynmmz8bvr6X0PM97dkf1lC/+XPcAlHi9HOBZ18XzZ/BBHdMTx2qv0Scuqldw29M12sU66W9qLdR5sF+CBoPBYFhY2EvQYDAYDAsLewkaDAaDYWHhVxWVIzVe+O//AQ5CF0bfOtThC1xVCjWF4A8D+I5WKXg4tJNaG9ZwC+Ka9wvayl2F8Nckn9BaV26ktamcUJUxU68XT1FnMR3X9xKwfiBq+LWXVKOUHGhO35sql3F4T/mJYqJ5ekg7vdm05v127um5T66AZwP3WaHto0PlEHf2dMw60LBtOXXS0krvO4GIbAY+YW1DOZ7hofIwWze1HyYz5TOeOqec48Xz9Rgn4GzCGHX1KFHFxK/A8xYwkx0m2m9LSzW3trSsnCBrU1JPS16+ISMD105OOIXvqedqeeHnm6JfshyaM/TxCLrBQ9TtpMcmdceJw4cn4LrPrKvnaburcQv62pX14xKXgQ7iDB6sy4N6HLqr+t3upvJmHZy714MfK7B3Xbn0e9euSLzRg47U0ZmOoZ/OoUleWtN5nU50TIb3VMtXYR9HH7UufWdChRXqJEL/mkHjmqY4XgY4rn1OfpLrrnLqV+4M4fc81edcd0nrS473lfv+J//TNxtbWv4f2C9Bg8FgMCws7CVoMBgMhoXFXIlEASlBiC3TeaZbnJmydFMtPvM2sFQrWRPEf3+rKc/zvADp1BZSK+6v/gDbaQMP5YmQBorws7y3rCnKpVMoIYTt/LMx0oR36lTd3vXLcqy7pN+Nepq67fR123AF46PeSd22PBlqmqCztilx6NhqnT5QCUOQqjSkxJb2KtFUy2aiW54fgB9dhHTobFqnNJhK95FKL5C2mSItFGL+5M88LHGGtkcovdVybbd8yBA4jWGrx0VDu0CWqMoOdD6stOu524mQYoT9F+0Emd7E7n2vxBj5KH+k31YZRMn7RtylZAKlcJa7ul0/5/+xWSYswjPAmQN81jCt35Rr6efLUtdBFOqazgPIFhx5UHpL5TbF1i8kHgZ4PmyonGPlQZXzpLk+q8594CMSt/C8KfN6nYQY/wDWdjlkKKyVFMSgFXraTxWs8e45lMbyAHIt2EG2QOXESMWztFbk6+wLG89sPX/h0DEbJyBLqrgKYcOJ5+Y82C9Bg8FgMCws7CVoMBgMhoWFvQQNBoPBsLCYywkGBTk/5nBhm1aBa3NzxMh7B7AHowVbge35AazJKpSvKcBHBo7FU9xXrmLjoSck7hxXjq+3Dh4tZlkf5cIObrwr8WgHJUbefeXo7/z2W3LsEPIKchuN7fj4f0vp6eeHkC0MTmqppY6ztby9rNurw2Xd+h3DDqyYokQMeDe/ouxFOQDZjA3Ot0IZJ+7974MjSmmDBu6DpKOP+eU7HEJZsRQOpCHgn9OZcswhOEPS3yuQUJTOOoo4vpn2cS9WjrhEP2Vj5YR64KcpJQrAvXpOWbAqB3eOPksg/Zgk+nkPbZtO9PjaEuzjAu3XwpHvpKmObwJVUgH+KAT/3I5ZIgj3hv0MrqopQrkiHzxtjsZMDnW959tqN5ii3NGsq2Pa62m/FGF9L0Fb5RcxbPbCFbUHW39I+cYNrMniQKVEB3fek3hvr277Sov2kpj34OFasJ+swMPG4IBTSGwoyfKcMaZ1Hd8PMUpChVyEc2C/BA0Gg8GwsLCXoMFgMBgWFvYSNBgMBsPCYi4nSJucAlwIbdJKvFPzpM6tR8iDx9CgdNa0BEwXPN3grJbS6CyptovXrpwcckk9Y6YaocOblyTeff0FidOh2ovN9pQD8MA3lOCA4qDOX7fwWWppPPBPpKvCEEovfH6lrXn6/O7rGjslrfbHynW0O3ruINI8e7sFXhZ5epbLovAscLkWpuzx2RLn9nFu6gpzitwafmLgkBw+GyyZ51EPh7a0wIX44JACxFWmY16k9ZhlGOAYHFAE3V+Kxva6uo6onwzA0/iYP0FcxxU43DDW2Mc6ipd0Tc/QuIFSzg2tX4rzhd16TW9gfdOyrWipTRb3DASwRhyDp48r3ItjnViAE06GyrsG4EJbHb0WeXovJ+9PWz1tSxDVx4uxanfbK1hj2Y6E+3uqG9548DGJq2W1gFtf1TjccPYQQAfsp3rueKbPxRb5R9ik5dgH0uaeEuhtXU10zj5vwR4QewIaz6I5sF+CBoPBYFhY2EvQYDAYDAsLewkaDAaDYWExN3Faxsi791nORMtwBLEe7x2reb3BGdWrLUG/1hqoP2cGXi050Nz4+N5NiWdb1/T4jVqPlxwoHxCU8/VN9II8HCuH2O30JK7AP/ksOeVomAJ8N1jSEkFBG+eGdoserD5Kp/jwyOxSL+foxuJl5VlY1omaRI86QJy7LMBnzvHgLHLwQeDsfLSF3rE+9ZL00CxZsgpcqTPGOTRp1L8GuFbYBi8Ls1GOGTui55SQIQ8SVMrTkttogfukRpE6Q3oqFlNdV1GrvhdqsTxcu02eFbxsj2PQoGn1+z1wpy6V5kOLG1GDlmjbEmj3wMI1PDg7HfgF57VfKMtZVSPV3iaHOkZpDD4SnGK/o9z6oTbFmyXaca5FZwwidbR/S+J7B9qWTqyfn7zzosShp3O9h7nccWKWRrqH5yCfcw1fY/B0Lfh58jkMKl6eJxV0oTz3aAL+sdB+mQf7JWgwGAyGhYW9BA0Gg8GwsLCXoMFgMBgWFn5F4sZgMBgMhgWB/RI0GAwGw8LCXoIGg8FgWFjYS9BgMBgMCwt7CRoMBoNhYWEvQYPBYDAsLOwlaDAYDIaFxf8FcnQE4kusdnIAAAAASUVORK5CYII=\\n\",\"text/plain\":[\"<Figure size 720x576 with 1 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"b2SQMNIH6bhJ\"},\"source\":[\"# Recurrent Neural Networks\\n\",\"As discussed in lecture, we will use Recurrent Neural Network (RNN) language models for image captioning. We will cover the vanilla RNN model first and later LSTM and attention-based language models.\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"6XHZMI356bhJ\"},\"source\":[\"## Vanilla RNN: step forward\\n\",\"First implement the `rnn_step_forward` for a single timestep of a vanilla recurrent neural network. Run the following to check your implementation. You should see errors on the order of `1e-8` or less.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"c3oU8JJj6bhK\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1617548422939,\"user_tz\":-60,\"elapsed\":5445,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"a306d8b2-8598-4643-817f-5fe0a60fb8ad\"},\"source\":[\"N, D, H = 3, 10, 4\\n\",\"\\n\",\"x = torch.linspace(-0.4, 0.7, steps=N*D, **to_double_cuda).reshape(N, D)\\n\",\"prev_h = torch.linspace(-0.2, 0.5, steps=N*H, **to_double_cuda).reshape(N, H)\\n\",\"Wx = torch.linspace(-0.1, 0.9, steps=D*H, **to_double_cuda).reshape(D, H)\\n\",\"Wh = torch.linspace(-0.3, 0.7, steps=H*H, **to_double_cuda).reshape(H, H)\\n\",\"b = torch.linspace(-0.2, 0.4, steps=H, **to_double_cuda)\\n\",\"\\n\",\"# YOUR_TURN: Impelement rnn_step_forward \\n\",\"next_h, _ = rnn_step_forward(x, prev_h, Wx, Wh, b)\\n\",\"expected_next_h = torch.tensor([\\n\",\"  [-0.58172089, -0.50182032, -0.41232771, -0.31410098],\\n\",\"  [ 0.66854692,  0.79562378,  0.87755553,  0.92795967],\\n\",\"  [ 0.97934501,  0.99144213,  0.99646691,  0.99854353]], **to_double_cuda)\\n\",\"\\n\",\"print('next_h error: ', rel_error(expected_next_h, next_h))\"],\"execution_count\":9,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"next_h error:  2.3200594408551194e-09\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"tid-ljPA6bhL\"},\"source\":[\"## Vanilla RNN: step backward\\n\",\"Then implement the `rnn_step_backward` for a single timestep of a vanilla recurrent neural network. Run the following to numerically gradient check your implementation. You should see errors on the order of `1e-8` or less.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"KPyfJofC6bhM\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1617548422940,\"user_tz\":-60,\"elapsed\":5435,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"028aca83-6710-4d21-816d-0dafcecc831d\"},\"source\":[\"reset_seed(0)\\n\",\"N, D, H = 4, 5, 6\\n\",\"x = torch.randn(N, D, **to_double_cuda)\\n\",\"h = torch.randn(N, H, **to_double_cuda)\\n\",\"Wx = torch.randn(D, H, **to_double_cuda)\\n\",\"Wh = torch.randn(H, H, **to_double_cuda)\\n\",\"b = torch.randn(H, **to_double_cuda)\\n\",\"\\n\",\"out, cache = rnn_step_forward(x, h, Wx, Wh, b)\\n\",\"\\n\",\"dnext_h = torch.randn(*out.shape, **to_double_cuda)\\n\",\"\\n\",\"fx = lambda x: rnn_step_forward(x, h, Wx, Wh, b)[0]\\n\",\"fh = lambda h: rnn_step_forward(x, h, Wx, Wh, b)[0]\\n\",\"fWx = lambda Wx: rnn_step_forward(x, h, Wx, Wh, b)[0]\\n\",\"fWh = lambda Wh: rnn_step_forward(x, h, Wx, Wh, b)[0]\\n\",\"fb = lambda b: rnn_step_forward(x, h, Wx, Wh, b)[0]\\n\",\"\\n\",\"dx_num = compute_numeric_gradient(fx, x, dnext_h)\\n\",\"dprev_h_num = compute_numeric_gradient(fh, h, dnext_h)\\n\",\"dWx_num = compute_numeric_gradient(fWx, Wx, dnext_h)\\n\",\"dWh_num = compute_numeric_gradient(fWh, Wh, dnext_h)\\n\",\"db_num = compute_numeric_gradient(fb, b, dnext_h)\\n\",\"\\n\",\"# YOUR_TURN: Impelement rnn_step_backward\\n\",\"dx, dprev_h, dWx, dWh, db = rnn_step_backward(dnext_h, cache)\\n\",\"\\n\",\"print('dx error: ', rel_error(dx_num, dx))\\n\",\"print('dprev_h error: ', rel_error(dprev_h_num, dprev_h))\\n\",\"print('dWx error: ', rel_error(dWx_num, dWx))\\n\",\"print('dWh error: ', rel_error(dWh_num, dWh))\\n\",\"print('db error: ', rel_error(db_num, db))\"],\"execution_count\":10,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"dx error:  3.530076341085995e-10\\n\",\"dprev_h error:  1.1936992039980396e-09\\n\",\"dWx error:  1.4306252486398814e-10\\n\",\"dWh error:  3.862381098421698e-10\\n\",\"db error:  2.8690206605120993e-10\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"vjZjH5JW6bhN\"},\"source\":[\"## Vanilla RNN: forward\\n\",\"Now that you have implemented the forward and backward passes for a single timestep of a vanilla RNN, you will combine these pieces to implement a RNN that processes an entire sequence of data. First implement `rnn_forward` by making calls to the `rnn_step_forward` function that you defined earlier.\\n\",\"\\n\",\"Run the following to check your implementation. You should see errors on the order of `1e-6` or less.\\n\",\"\\n\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"_GQWEn3Z6bhO\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1617548422941,\"user_tz\":-60,\"elapsed\":5426,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"da41d6c8-c230-4624-e543-f3b2904631ba\"},\"source\":[\"N, T, D, H = 2, 3, 4, 5\\n\",\"\\n\",\"x = torch.linspace(-0.1, 0.3, steps=N*T*D, **to_double_cuda).reshape(N, T, D)\\n\",\"h0 = torch.linspace(-0.3, 0.1, steps=N*H, **to_double_cuda).reshape(N, H)\\n\",\"Wx = torch.linspace(-0.2, 0.4, steps=D*H, **to_double_cuda).reshape(D, H)\\n\",\"Wh = torch.linspace(-0.4, 0.1, steps=H*H, **to_double_cuda).reshape(H, H)\\n\",\"b = torch.linspace(-0.7, 0.1, steps=H, **to_double_cuda)\\n\",\"\\n\",\"# YOUR_TURN: Impelement rnn_forward\\n\",\"h, _ = rnn_forward(x, h0, Wx, Wh, b)\\n\",\"expected_h = torch.tensor([\\n\",\"  [\\n\",\"    [-0.42070749, -0.27279261, -0.11074945,  0.05740409,  0.22236251],\\n\",\"    [-0.39525808, -0.22554661, -0.0409454,   0.14649412,  0.32397316],\\n\",\"    [-0.42305111, -0.24223728, -0.04287027,  0.15997045,  0.35014525],\\n\",\"  ],\\n\",\"  [\\n\",\"    [-0.55857474, -0.39065825, -0.19198182,  0.02378408,  0.23735671],\\n\",\"    [-0.27150199, -0.07088804,  0.13562939,  0.33099728,  0.50158768],\\n\",\"    [-0.51014825, -0.30524429, -0.06755202,  0.17806392,  0.40333043]]], **to_double_cuda)\\n\",\"print('h error: ', rel_error(expected_h, h))\"],\"execution_count\":11,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"h error:  4.242275290213816e-09\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"P570PTsw6bhP\"},\"source\":[\"## Vanilla RNN: backward\\n\",\"Implement the `rnn_backward` for a vanilla RNN. This should run back-propagation over the entire sequence, making calls to the `rnn_step_backward` function that you defined earlier. You should see errors on the order of `1e-6` or less.\\n\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"Ny25RusA6bhQ\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1617548423386,\"user_tz\":-60,\"elapsed\":5860,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"8cccd6be-f767-44cb-df4b-a27116afc7b4\"},\"source\":[\"reset_seed(0)\\n\",\"\\n\",\"N, D, T, H = 2, 3, 10, 5\\n\",\"\\n\",\"x = torch.randn(N, T, D, **to_double_cuda)\\n\",\"h0 = torch.randn(N, H, **to_double_cuda)\\n\",\"Wx = torch.randn(D, H, **to_double_cuda)\\n\",\"Wh = torch.randn(H, H, **to_double_cuda)\\n\",\"b = torch.randn(H, **to_double_cuda)\\n\",\"\\n\",\"out, cache = rnn_forward(x, h0, Wx, Wh, b)\\n\",\"\\n\",\"dout = torch.randn(*out.shape, **to_double_cuda)\\n\",\"\\n\",\"# YOUR_TURN: Impelement rnn_backward\\n\",\"dx, dh0, dWx, dWh, db = rnn_backward(dout, cache)\\n\",\"\\n\",\"fx = lambda x: rnn_forward(x, h0, Wx, Wh, b)[0]\\n\",\"fh0 = lambda h0: rnn_forward(x, h0, Wx, Wh, b)[0]\\n\",\"fWx = lambda Wx: rnn_forward(x, h0, Wx, Wh, b)[0]\\n\",\"fWh = lambda Wh: rnn_forward(x, h0, Wx, Wh, b)[0]\\n\",\"fb = lambda b: rnn_forward(x, h0, Wx, Wh, b)[0]\\n\",\"\\n\",\"dx_num = compute_numeric_gradient(fx, x, dout)\\n\",\"dh0_num = compute_numeric_gradient(fh0, h0, dout)\\n\",\"dWx_num = compute_numeric_gradient(fWx, Wx, dout)\\n\",\"dWh_num = compute_numeric_gradient(fWh, Wh, dout)\\n\",\"db_num = compute_numeric_gradient(fb, b, dout)\\n\",\"\\n\",\"print('dx error: ', rel_error(dx_num, dx))\\n\",\"print('dh0 error: ', rel_error(dh0_num, dh0))\\n\",\"print('dWx error: ', rel_error(dWx_num, dWx))\\n\",\"print('dWh error: ', rel_error(dWh_num, dWh))\\n\",\"print('db error: ', rel_error(db_num, db))\"],\"execution_count\":12,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"dx error:  7.692201591110801e-10\\n\",\"dh0 error:  7.10234831991929e-10\\n\",\"dWx error:  6.62171448927072e-10\\n\",\"dWh error:  8.271902778228051e-10\\n\",\"db error:  1.1251410208279603e-09\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"oEDUmZOkU_LO\"},\"source\":[\"## Vanilla RNN: backward with autograd\\n\",\"Now it's time to introduce the lifesaver PyTorch Automatic Differantiation package - `torch.autograd`!\\n\",\"\\n\",\"`torch.autograd` provides classes and functions implementing **automatic differentiation** of arbitrary scalar valued functions. It requires minimal changes to the existing code - if you pass tensors with `requires_grad=True` to the forward function you wrote earlier, you can just call `.backward(gradient=grad)` on the output to compute gradients on the input and weights.\\n\",\"\\n\",\"Now we can compare the manual backward pass with the autograd backward pass. **Read through the following.**  You should get a relative error less than `1e-12`.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"5AMXoqNOVRa_\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1617548423387,\"user_tz\":-60,\"elapsed\":5851,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"e8a19e0a-febd-4f3d-f132-d7f387474221\"},\"source\":[\"reset_seed(0)\\n\",\"\\n\",\"N, D, T, H = 2, 3, 10, 5\\n\",\"\\n\",\"# set requires_grad=True\\n\",\"x = torch.randn(N, T, D, **to_double_cuda, requires_grad=True)\\n\",\"h0 = torch.randn(N, H, **to_double_cuda, requires_grad=True)\\n\",\"Wx = torch.randn(D, H, **to_double_cuda, requires_grad=True)\\n\",\"Wh = torch.randn(H, H, **to_double_cuda, requires_grad=True)\\n\",\"b = torch.randn(H, **to_double_cuda, requires_grad=True)\\n\",\"\\n\",\"out, cache = rnn_forward(x, h0, Wx, Wh, b)\\n\",\"\\n\",\"dout = torch.randn(*out.shape, **to_double_cuda)\\n\",\"\\n\",\"# manual backward\\n\",\"with torch.no_grad():\\n\",\"  dx, dh0, dWx, dWh, db = rnn_backward(dout, cache)\\n\",\"\\n\",\"# backward with autograd\\n\",\"out.backward(dout) # the magic happens here!\\n\",\"dx_auto, dh0_auto, dWx_auto, dWh_auto, db_auto = \\\\\\n\",\"  x.grad, h0.grad, Wx.grad, Wh.grad, b.grad\\n\",\"\\n\",\"print('dx error: ', rel_error(dx_auto, dx))\\n\",\"print('dh0 error: ', rel_error(dh0_auto, dh0))\\n\",\"print('dWx error: ', rel_error(dWx_auto, dWx))\\n\",\"print('dWh error: ', rel_error(dWh_auto, dWh))\\n\",\"print('db error: ', rel_error(db_auto, db))\"],\"execution_count\":13,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"dx error:  9.703371940851608e-17\\n\",\"dh0 error:  2.2836060460754644e-17\\n\",\"dWx error:  1.8634568067059473e-16\\n\",\"dWh error:  8.260278707379766e-17\\n\",\"db error:  3.3170788959002076e-16\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"zgmxOjX0prA4\"},\"source\":[\"## RNN Module\\n\",\"We can now wrap the vanilla RNN we wrote into an `nn.Module`. `nn.Module` is a base class for all neural network modules, more details regarding its attributes, functions, and methods could be found [here](https://pytorch.org/docs/stable/nn.html?highlight=module#torch.nn.Module).\\n\",\"\\n\",\"Here we want to set up a module for RNN, where function `__init__` sets up weight and biases, and function `forward` call the `rnn_forward` function from before.\\n\",\"\\n\",\"**We have written this part in `RNN` for you but you are highly recommended to go through the code as you will write `modules` on your own later.**\\n\",\"\\n\",\"All the implementation will be with `autograd` and `nn.Module` going forward. \"]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"CIjmnjRd6bhZ\"},\"source\":[\"# RNN for image captioning\\n\",\"You will implement a few necessary tools and layers in order to build an image captioning model (class `CaptioningRNN`).\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"IAa1Kvl2P_2k\"},\"source\":[\"## Image Feature Extraction\\n\",\"Here, we use [MobileNet v2](https://pytorch.org/hub/pytorch_vision_mobilenet_v2/) for image feature extraction. For vanilla RNN and LSTM, we use the pooled CNN feature activation. For Attention LSTM, we use the CNN feature activation map after the last convolution layer. Checkout the `FeatureExtractor` method in `rnn_lstm_attention_captioning.py` to see the initialization of the model.\\n\",\"\\n\",\"Now, let's see what's inside MobileNet v2. Assume we have a 3x112x112 image input. We pass argument `pooling=True` to the model so the CNN activation is spatially-pooled from `1280x4x4` to `1280`.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"_pV0Lau_yDwX\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1617548423387,\"user_tz\":-60,\"elapsed\":5838,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"fbf49d40-7532-4e4c-8b0c-9a8384a740cc\"},\"source\":[\"model = FeatureExtractor(pooling=True, verbose=True, device='cuda')\"],\"execution_count\":14,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"----------------------------------------------------------------\\n\",\"        Layer (type)               Output Shape         Param #\\n\",\"================================================================\\n\",\"            Conv2d-1           [-1, 32, 56, 56]             864\\n\",\"       BatchNorm2d-2           [-1, 32, 56, 56]              64\\n\",\"             ReLU6-3           [-1, 32, 56, 56]               0\\n\",\"            Conv2d-4           [-1, 32, 56, 56]             288\\n\",\"       BatchNorm2d-5           [-1, 32, 56, 56]              64\\n\",\"             ReLU6-6           [-1, 32, 56, 56]               0\\n\",\"            Conv2d-7           [-1, 16, 56, 56]             512\\n\",\"       BatchNorm2d-8           [-1, 16, 56, 56]              32\\n\",\"  InvertedResidual-9           [-1, 16, 56, 56]               0\\n\",\"           Conv2d-10           [-1, 96, 56, 56]           1,536\\n\",\"      BatchNorm2d-11           [-1, 96, 56, 56]             192\\n\",\"            ReLU6-12           [-1, 96, 56, 56]               0\\n\",\"           Conv2d-13           [-1, 96, 28, 28]             864\\n\",\"      BatchNorm2d-14           [-1, 96, 28, 28]             192\\n\",\"            ReLU6-15           [-1, 96, 28, 28]               0\\n\",\"           Conv2d-16           [-1, 24, 28, 28]           2,304\\n\",\"      BatchNorm2d-17           [-1, 24, 28, 28]              48\\n\",\" InvertedResidual-18           [-1, 24, 28, 28]               0\\n\",\"           Conv2d-19          [-1, 144, 28, 28]           3,456\\n\",\"      BatchNorm2d-20          [-1, 144, 28, 28]             288\\n\",\"            ReLU6-21          [-1, 144, 28, 28]               0\\n\",\"           Conv2d-22          [-1, 144, 28, 28]           1,296\\n\",\"      BatchNorm2d-23          [-1, 144, 28, 28]             288\\n\",\"            ReLU6-24          [-1, 144, 28, 28]               0\\n\",\"           Conv2d-25           [-1, 24, 28, 28]           3,456\\n\",\"      BatchNorm2d-26           [-1, 24, 28, 28]              48\\n\",\" InvertedResidual-27           [-1, 24, 28, 28]               0\\n\",\"           Conv2d-28          [-1, 144, 28, 28]           3,456\\n\",\"      BatchNorm2d-29          [-1, 144, 28, 28]             288\\n\",\"            ReLU6-30          [-1, 144, 28, 28]               0\\n\",\"           Conv2d-31          [-1, 144, 14, 14]           1,296\\n\",\"      BatchNorm2d-32          [-1, 144, 14, 14]             288\\n\",\"            ReLU6-33          [-1, 144, 14, 14]               0\\n\",\"           Conv2d-34           [-1, 32, 14, 14]           4,608\\n\",\"      BatchNorm2d-35           [-1, 32, 14, 14]              64\\n\",\" InvertedResidual-36           [-1, 32, 14, 14]               0\\n\",\"           Conv2d-37          [-1, 192, 14, 14]           6,144\\n\",\"      BatchNorm2d-38          [-1, 192, 14, 14]             384\\n\",\"            ReLU6-39          [-1, 192, 14, 14]               0\\n\",\"           Conv2d-40          [-1, 192, 14, 14]           1,728\\n\",\"      BatchNorm2d-41          [-1, 192, 14, 14]             384\\n\",\"            ReLU6-42          [-1, 192, 14, 14]               0\\n\",\"           Conv2d-43           [-1, 32, 14, 14]           6,144\\n\",\"      BatchNorm2d-44           [-1, 32, 14, 14]              64\\n\",\" InvertedResidual-45           [-1, 32, 14, 14]               0\\n\",\"           Conv2d-46          [-1, 192, 14, 14]           6,144\\n\",\"      BatchNorm2d-47          [-1, 192, 14, 14]             384\\n\",\"            ReLU6-48          [-1, 192, 14, 14]               0\\n\",\"           Conv2d-49          [-1, 192, 14, 14]           1,728\\n\",\"      BatchNorm2d-50          [-1, 192, 14, 14]             384\\n\",\"            ReLU6-51          [-1, 192, 14, 14]               0\\n\",\"           Conv2d-52           [-1, 32, 14, 14]           6,144\\n\",\"      BatchNorm2d-53           [-1, 32, 14, 14]              64\\n\",\" InvertedResidual-54           [-1, 32, 14, 14]               0\\n\",\"           Conv2d-55          [-1, 192, 14, 14]           6,144\\n\",\"      BatchNorm2d-56          [-1, 192, 14, 14]             384\\n\",\"            ReLU6-57          [-1, 192, 14, 14]               0\\n\",\"           Conv2d-58            [-1, 192, 7, 7]           1,728\\n\",\"      BatchNorm2d-59            [-1, 192, 7, 7]             384\\n\",\"            ReLU6-60            [-1, 192, 7, 7]               0\\n\",\"           Conv2d-61             [-1, 64, 7, 7]          12,288\\n\",\"      BatchNorm2d-62             [-1, 64, 7, 7]             128\\n\",\" InvertedResidual-63             [-1, 64, 7, 7]               0\\n\",\"           Conv2d-64            [-1, 384, 7, 7]          24,576\\n\",\"      BatchNorm2d-65            [-1, 384, 7, 7]             768\\n\",\"            ReLU6-66            [-1, 384, 7, 7]               0\\n\",\"           Conv2d-67            [-1, 384, 7, 7]           3,456\\n\",\"      BatchNorm2d-68            [-1, 384, 7, 7]             768\\n\",\"            ReLU6-69            [-1, 384, 7, 7]               0\\n\",\"           Conv2d-70             [-1, 64, 7, 7]          24,576\\n\",\"      BatchNorm2d-71             [-1, 64, 7, 7]             128\\n\",\" InvertedResidual-72             [-1, 64, 7, 7]               0\\n\",\"           Conv2d-73            [-1, 384, 7, 7]          24,576\\n\",\"      BatchNorm2d-74            [-1, 384, 7, 7]             768\\n\",\"            ReLU6-75            [-1, 384, 7, 7]               0\\n\",\"           Conv2d-76            [-1, 384, 7, 7]           3,456\\n\",\"      BatchNorm2d-77            [-1, 384, 7, 7]             768\\n\",\"            ReLU6-78            [-1, 384, 7, 7]               0\\n\",\"           Conv2d-79             [-1, 64, 7, 7]          24,576\\n\",\"      BatchNorm2d-80             [-1, 64, 7, 7]             128\\n\",\" InvertedResidual-81             [-1, 64, 7, 7]               0\\n\",\"           Conv2d-82            [-1, 384, 7, 7]          24,576\\n\",\"      BatchNorm2d-83            [-1, 384, 7, 7]             768\\n\",\"            ReLU6-84            [-1, 384, 7, 7]               0\\n\",\"           Conv2d-85            [-1, 384, 7, 7]           3,456\\n\",\"      BatchNorm2d-86            [-1, 384, 7, 7]             768\\n\",\"            ReLU6-87            [-1, 384, 7, 7]               0\\n\",\"           Conv2d-88             [-1, 64, 7, 7]          24,576\\n\",\"      BatchNorm2d-89             [-1, 64, 7, 7]             128\\n\",\" InvertedResidual-90             [-1, 64, 7, 7]               0\\n\",\"           Conv2d-91            [-1, 384, 7, 7]          24,576\\n\",\"      BatchNorm2d-92            [-1, 384, 7, 7]             768\\n\",\"            ReLU6-93            [-1, 384, 7, 7]               0\\n\",\"           Conv2d-94            [-1, 384, 7, 7]           3,456\\n\",\"      BatchNorm2d-95            [-1, 384, 7, 7]             768\\n\",\"            ReLU6-96            [-1, 384, 7, 7]               0\\n\",\"           Conv2d-97             [-1, 96, 7, 7]          36,864\\n\",\"      BatchNorm2d-98             [-1, 96, 7, 7]             192\\n\",\" InvertedResidual-99             [-1, 96, 7, 7]               0\\n\",\"          Conv2d-100            [-1, 576, 7, 7]          55,296\\n\",\"     BatchNorm2d-101            [-1, 576, 7, 7]           1,152\\n\",\"           ReLU6-102            [-1, 576, 7, 7]               0\\n\",\"          Conv2d-103            [-1, 576, 7, 7]           5,184\\n\",\"     BatchNorm2d-104            [-1, 576, 7, 7]           1,152\\n\",\"           ReLU6-105            [-1, 576, 7, 7]               0\\n\",\"          Conv2d-106             [-1, 96, 7, 7]          55,296\\n\",\"     BatchNorm2d-107             [-1, 96, 7, 7]             192\\n\",\"InvertedResidual-108             [-1, 96, 7, 7]               0\\n\",\"          Conv2d-109            [-1, 576, 7, 7]          55,296\\n\",\"     BatchNorm2d-110            [-1, 576, 7, 7]           1,152\\n\",\"           ReLU6-111            [-1, 576, 7, 7]               0\\n\",\"          Conv2d-112            [-1, 576, 7, 7]           5,184\\n\",\"     BatchNorm2d-113            [-1, 576, 7, 7]           1,152\\n\",\"           ReLU6-114            [-1, 576, 7, 7]               0\\n\",\"          Conv2d-115             [-1, 96, 7, 7]          55,296\\n\",\"     BatchNorm2d-116             [-1, 96, 7, 7]             192\\n\",\"InvertedResidual-117             [-1, 96, 7, 7]               0\\n\",\"          Conv2d-118            [-1, 576, 7, 7]          55,296\\n\",\"     BatchNorm2d-119            [-1, 576, 7, 7]           1,152\\n\",\"           ReLU6-120            [-1, 576, 7, 7]               0\\n\",\"          Conv2d-121            [-1, 576, 4, 4]           5,184\\n\",\"     BatchNorm2d-122            [-1, 576, 4, 4]           1,152\\n\",\"           ReLU6-123            [-1, 576, 4, 4]               0\\n\",\"          Conv2d-124            [-1, 160, 4, 4]          92,160\\n\",\"     BatchNorm2d-125            [-1, 160, 4, 4]             320\\n\",\"InvertedResidual-126            [-1, 160, 4, 4]               0\\n\",\"          Conv2d-127            [-1, 960, 4, 4]         153,600\\n\",\"     BatchNorm2d-128            [-1, 960, 4, 4]           1,920\\n\",\"           ReLU6-129            [-1, 960, 4, 4]               0\\n\",\"          Conv2d-130            [-1, 960, 4, 4]           8,640\\n\",\"     BatchNorm2d-131            [-1, 960, 4, 4]           1,920\\n\",\"           ReLU6-132            [-1, 960, 4, 4]               0\\n\",\"          Conv2d-133            [-1, 160, 4, 4]         153,600\\n\",\"     BatchNorm2d-134            [-1, 160, 4, 4]             320\\n\",\"InvertedResidual-135            [-1, 160, 4, 4]               0\\n\",\"          Conv2d-136            [-1, 960, 4, 4]         153,600\\n\",\"     BatchNorm2d-137            [-1, 960, 4, 4]           1,920\\n\",\"           ReLU6-138            [-1, 960, 4, 4]               0\\n\",\"          Conv2d-139            [-1, 960, 4, 4]           8,640\\n\",\"     BatchNorm2d-140            [-1, 960, 4, 4]           1,920\\n\",\"           ReLU6-141            [-1, 960, 4, 4]               0\\n\",\"          Conv2d-142            [-1, 160, 4, 4]         153,600\\n\",\"     BatchNorm2d-143            [-1, 160, 4, 4]             320\\n\",\"InvertedResidual-144            [-1, 160, 4, 4]               0\\n\",\"          Conv2d-145            [-1, 960, 4, 4]         153,600\\n\",\"     BatchNorm2d-146            [-1, 960, 4, 4]           1,920\\n\",\"           ReLU6-147            [-1, 960, 4, 4]               0\\n\",\"          Conv2d-148            [-1, 960, 4, 4]           8,640\\n\",\"     BatchNorm2d-149            [-1, 960, 4, 4]           1,920\\n\",\"           ReLU6-150            [-1, 960, 4, 4]               0\\n\",\"          Conv2d-151            [-1, 320, 4, 4]         307,200\\n\",\"     BatchNorm2d-152            [-1, 320, 4, 4]             640\\n\",\"InvertedResidual-153            [-1, 320, 4, 4]               0\\n\",\"          Conv2d-154           [-1, 1280, 4, 4]         409,600\\n\",\"     BatchNorm2d-155           [-1, 1280, 4, 4]           2,560\\n\",\"           ReLU6-156           [-1, 1280, 4, 4]               0\\n\",\"       AvgPool2d-157           [-1, 1280, 1, 1]               0\\n\",\"================================================================\\n\",\"Total params: 2,223,872\\n\",\"Trainable params: 2,223,872\\n\",\"Non-trainable params: 0\\n\",\"----------------------------------------------------------------\\n\",\"Input size (MB): 0.14\\n\",\"Forward/backward pass size (MB): 38.94\\n\",\"Params size (MB): 8.48\\n\",\"Estimated Total Size (MB): 47.57\\n\",\"----------------------------------------------------------------\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"SVAxU-jO6bhR\"},\"source\":[\"## Word embedding\\n\",\"In deep learning systems, we commonly represent words using vectors. Each word of the vocabulary will be associated with a vector, and these vectors will be learned jointly with the rest of the system.\\n\",\"\\n\",\"Implement the module `WordEmbedding.forward` to convert words (represented by integers) into vectors. Run the following to check your implementation. You should see an error on the order of `1e-7` or less. \\n\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"BZuz2ieE6bhR\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1617548423388,\"user_tz\":-60,\"elapsed\":5827,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"431ce904-9e56-45c5-99f8-aab11cb0bbc5\"},\"source\":[\"N, T, V, D = 2, 4, 5, 3\\n\",\"\\n\",\"x = torch.tensor([[0, 3, 1, 2], [2, 1, 0, 3]], **to_long_cuda)\\n\",\"W = torch.linspace(0, 1, steps=V*D, **to_double_cuda).reshape(V, D)\\n\",\"\\n\",\"# YOUR_TURN: Impelement WordEmbedding\\n\",\"model_emb = WordEmbedding(V, D, **to_double_cuda)\\n\",\"model_emb.W_embed.data.copy_(W)\\n\",\"out = model_emb(x)\\n\",\"expected_out = torch.tensor([\\n\",\" [[ 0.,          0.07142857,  0.14285714],\\n\",\"  [ 0.64285714,  0.71428571,  0.78571429],\\n\",\"  [ 0.21428571,  0.28571429,  0.35714286],\\n\",\"  [ 0.42857143,  0.5,         0.57142857]],\\n\",\" [[ 0.42857143,  0.5,         0.57142857],\\n\",\"  [ 0.21428571,  0.28571429,  0.35714286],\\n\",\"  [ 0.,          0.07142857,  0.14285714],\\n\",\"  [ 0.64285714,  0.71428571,  0.78571429]]], **to_double_cuda)\\n\",\"\\n\",\"print('out error: ', rel_error(expected_out, out))\"],\"execution_count\":15,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"out error:  2.727272753724473e-09\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"6u-4Sr--6bhV\",\"tags\":[]},\"source\":[\"## (Temporal) Affine layer\\n\",\"At every timestep we use an affine function to transform the RNN hidden vector at that timestep into scores for each word in the vocabulary. This could be easily done with the [`nn.Linear`](https://pytorch.org/docs/master/nn.html#torch.nn.Linear) module. It can also work as a regular affine layer, like the one you have implemented from previous assignments. Run the following examples to see how it works. You will intensively use `nn.Linear` later.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"SA2DgU4X6bhV\",\"tags\":[],\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1617548424035,\"user_tz\":-60,\"elapsed\":6463,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"a8e13618-4992-4ce7-a623-28b36d5c08b5\"},\"source\":[\"reset_seed(0)\\n\",\"\\n\",\"N, T, D, M = 2, 3, 4, 3\\n\",\"\\n\",\"w = torch.linspace(-0.2, 0.4, steps=D*M, **to_double_cuda).reshape(D, M).permute(1, 0)\\n\",\"b = torch.linspace(-0.4, 0.1, steps=M, **to_double_cuda)\\n\",\"\\n\",\"temporal_affine = nn.Linear(D, M).to(**to_double_cuda)\\n\",\"temporal_affine.weight.data.copy_(w)\\n\",\"temporal_affine.bias.data.copy_(b)\\n\",\"\\n\",\"# For regular affine layer\\n\",\"x = torch.linspace(-0.1, 0.3, steps=N*D, **to_double_cuda).reshape(N, D)\\n\",\"out = temporal_affine(x)\\n\",\"print('affine layer - input shape: {}, output shape: {}'.format(x.shape, out.shape))\\n\",\"correct_out = torch.tensor([[-0.35584416, -0.10896104,  0.13792208],\\n\",\"                     [-0.31428571, -0.01753247,  0.27922078]], **to_double_cuda)\\n\",\"\\n\",\"print('dx error: ', rel_error(out, correct_out))\\n\",\"\\n\",\"\\n\",\"# For temporal affine layer\\n\",\"x = torch.linspace(-0.1, 0.3, steps=N*T*D, **to_double_cuda).reshape(N, T, D)\\n\",\"out = temporal_affine(x)\\n\",\"print('\\\\ntemporal affine layer - input shape: {}, output shape: {}'.format(x.shape, out.shape))\\n\",\"correct_out = torch.tensor([[[-0.39920949, -0.16533597,  0.06853755],\\n\",\"                             [-0.38656126, -0.13750988,  0.11154150],\\n\",\"                             [-0.37391304, -0.10968379,  0.15454545]],\\n\",\"                            [[-0.36126482, -0.08185771,  0.19754941],\\n\",\"                             [-0.34861660, -0.05403162,  0.24055336],\\n\",\"                             [-0.33596838, -0.02620553,  0.28355731]]], **to_double_cuda)\\n\",\"\\n\",\"print('dx error: ', rel_error(out, correct_out))\"],\"execution_count\":16,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"affine layer - input shape: torch.Size([2, 4]), output shape: torch.Size([2, 3])\\n\",\"dx error:  6.021897849884195e-09\\n\",\"\\n\",\"temporal affine layer - input shape: torch.Size([2, 3, 4]), output shape: torch.Size([2, 3, 3])\\n\",\"dx error:  6.039603964764421e-09\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"K6Py13Ak6bhX\",\"tags\":[]},\"source\":[\"## Temporal Softmax loss\\n\",\"In an RNN language model, at every timestep we produce a score for each word in the vocabulary. We know the ground-truth word at each timestep, so we use a softmax loss function to compute loss and gradient at each timestep. We sum the losses over time and average them over the minibatch.\\n\",\"\\n\",\"However there is one wrinkle: since we operate over minibatches and different captions may have different lengths, we append `<NULL>` tokens to the end of each caption so they all have the same length. We don't want these `<NULL>` tokens to count toward the loss or gradient, so in addition to scores and ground-truth labels our loss function also accepts a `ignore_index` that tells it which index in caption should be ignored when computing the loss.\\n\",\"\\n\",\"Implement the `temporal_softmax_loss` and run the follwing cell to check if the implmentation is correct.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"nlFvgXtD6bhX\",\"tags\":[],\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1617548424036,\"user_tz\":-60,\"elapsed\":6454,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"f7cb345c-46c4-4958-a5e7-7c6bc56eeac2\"},\"source\":[\"def check_loss(N, T, V, p):\\n\",\"    x = 0.001 * torch.randn(N, T, V, **to_double_cuda)\\n\",\"    y = torch.randint(V, size=(N, T), **to_long_cuda)\\n\",\"    mask = torch.rand(N, T, **to_double_cuda)\\n\",\"    y[mask > p] = 0\\n\",\"    # YOUR_TURN: Impelement temporal_softmax_loss\\n\",\"    print(temporal_softmax_loss(x, y, NULL_index).item())\\n\",\"  \\n\",\"check_loss(1000, 1, 10, 1.0)   # Should be about 2.00-2.11\\n\",\"check_loss(1000, 10, 10, 1.0)  # Should be about 20.6-21.0\\n\",\"check_loss(5000, 10, 10, 0.1) # Should be about 2.00-2.11\"],\"execution_count\":17,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"2.0815791002459583\\n\",\"20.790240421784667\\n\",\"2.060794845510511\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"XWrmaSZaUxqX\"},\"source\":[\"## Captioning Module\\n\",\"Now we are wrapping everything into the captioning module. Implement the `CaptioningRNN.__init__` function for initialization and the `CaptioningRNN.forward` for the forward pass. For now you only need to implement for the case where `cell_type='rnn'`, indicating vanialla RNNs; you will implement the `LSTM` case and `AttentionLSTM` case later.\\n\",\"\\n\",\"Skip the `CaptioningRNN.sample` for now, we will come back to this later.\\n\",\"\\n\",\"Run the following to check your forward pass using a small test case; you should see difference on the order of `1e-7` or less.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"d8a71FL_6bhZ\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1617548424037,\"user_tz\":-60,\"elapsed\":6444,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"12faa59b-b622-4240-95bb-ef859dfa14d9\"},\"source\":[\"reset_seed(0)\\n\",\"\\n\",\"N, D, W, H = 10, 1280, 30, 40\\n\",\"D_img = 112\\n\",\"word_to_idx = {'<NULL>': 0, 'cat': 2, 'dog': 3}\\n\",\"V = len(word_to_idx)\\n\",\"T = 13\\n\",\"\\n\",\"# YOUR_TURN: Impelement CaptioningRNN\\n\",\"model = CaptioningRNN(word_to_idx,\\n\",\"          input_dim=D,\\n\",\"          wordvec_dim=W,\\n\",\"          hidden_dim=H,\\n\",\"          cell_type='rnn',\\n\",\"          ignore_index=NULL_index,\\n\",\"          **to_float_cuda) # use float here to be consistent with MobileNet v2\\n\",\"\\n\",\"\\n\",\"for k,v in model.named_parameters():\\n\",\"  # print(k, v.shape) # uncomment this to see the weight shape\\n\",\"  v.data.copy_(torch.linspace(-1.4, 1.3, steps=v.numel()).reshape(*v.shape))\\n\",\"\\n\",\"images = torch.linspace(-3., 3., steps=(N * 3 * D_img * D_img),\\n\",\"                       **to_float_cuda).reshape(N, 3, D_img, D_img)\\n\",\"captions = (torch.arange(N * T, **to_long_cuda) % V).reshape(N, T)\\n\",\"\\n\",\"loss = model(images, captions).item()\\n\",\"expected_loss = 150.6090393066\\n\",\"\\n\",\"print('loss: ', loss)\\n\",\"print('expected loss: ', expected_loss)\\n\",\"print('difference: ', rel_error(torch.tensor(loss), torch.tensor(expected_loss)))\"],\"execution_count\":18,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"loss:  150.60903930664062\\n\",\"expected loss:  150.6090393066\\n\",\"difference:  0.0\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"7YAOcQ4h6bhc\"},\"source\":[\"## Image Captioning solver\\n\",\"Different from the `Solver` class that we used to train image classification models on the previous assignment, on this assignment we use the `torch.optim` package to train image captioning models.\\n\",\"\\n\",\"We have written this part for you and you need to train the model and generate plots on the training loss.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"bRC0lNgOxheT\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1617548424037,\"user_tz\":-60,\"elapsed\":6434,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}}},\"source\":[\"def captioning_train(rnn_model, image_data, caption_data, lr_decay=1, **kwargs):\\n\",\"  \\\"\\\"\\\"\\n\",\"  Run optimization to train the model.\\n\",\"  \\\"\\\"\\\"\\n\",\"  # optimizer setup\\n\",\"  from torch import optim\\n\",\"  optimizer = optim.Adam(\\n\",\"    filter(lambda p: p.requires_grad, rnn_model.parameters()),\\n\",\"    learning_rate) # leave betas and eps by default\\n\",\"  lr_scheduler = optim.lr_scheduler.LambdaLR(optimizer,\\n\",\"                                             lambda epoch: lr_decay ** epoch)\\n\",\"\\n\",\"  # sample minibatch data\\n\",\"  iter_per_epoch = math.ceil(image_data.shape[0] // batch_size)\\n\",\"  loss_history = []\\n\",\"  rnn_model.train()\\n\",\"  for i in range(num_epochs):\\n\",\"    start_t = time.time()\\n\",\"    for j in range(iter_per_epoch):\\n\",\"      images, captions = image_data[j*batch_size:(j+1)*batch_size], \\\\\\n\",\"                           caption_data[j*batch_size:(j+1)*batch_size]\\n\",\"\\n\",\"      loss = rnn_model(images, captions)\\n\",\"      optimizer.zero_grad()\\n\",\"      loss.backward()\\n\",\"      loss_history.append(loss.item())\\n\",\"      optimizer.step()\\n\",\"    end_t = time.time()\\n\",\"    print('(Epoch {} / {}) loss: {:.4f} time per epoch: {:.1f}s'.format(\\n\",\"        i, num_epochs, loss.item(), end_t-start_t))\\n\",\"\\n\",\"    lr_scheduler.step()\\n\",\"\\n\",\"  # plot the training losses\\n\",\"  plt.plot(loss_history)\\n\",\"  plt.xlabel('Iteration')\\n\",\"  plt.ylabel('Loss')\\n\",\"  plt.title('Training loss history')\\n\",\"  plt.show()\\n\",\"  return rnn_model, loss_history\"],\"execution_count\":19,\"outputs\":[]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"eUc5c217pFYE\"},\"source\":[\"## Overfit small data\\n\",\"Once you have familiarized yourself with the `optim` API used above, run the following to make sure your model overfits a small sample of 50 training examples. You should see a final loss of less than `1.6` and it should be done fairly quickly.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"yzhsGRzk6bhd\",\"colab\":{\"base_uri\":\"https://localhost:8080/\",\"height\":1000},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1617548426010,\"user_tz\":-60,\"elapsed\":8395,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"453c6dd2-ada5-4eac-d413-0558be1c2d42\"},\"source\":[\"reset_seed(0)\\n\",\"\\n\",\"# data input\\n\",\"small_num_train = 50\\n\",\"sample_idx = torch.linspace(0, num_train-1, steps=small_num_train, **to_long_cuda)\\n\",\"small_image_data = data_dict['train_images'][sample_idx].to('cuda')\\n\",\"small_caption_data = data_dict['train_captions'][sample_idx].to('cuda')\\n\",\"\\n\",\"# optimization arguments\\n\",\"num_epochs = 80\\n\",\"batch_size = 50\\n\",\"  \\n\",\"# create the image captioning model\\n\",\"model = CaptioningRNN(\\n\",\"          cell_type='rnn',\\n\",\"          word_to_idx=data_dict['vocab']['token_to_idx'],\\n\",\"          input_dim=1280, # hard-coded, do not modify\\n\",\"          hidden_dim=512,\\n\",\"          wordvec_dim=256,\\n\",\"          ignore_index=NULL_index,\\n\",\"          **to_float_cuda)\\n\",\"\\n\",\"for learning_rate in [1e-3]:\\n\",\"  print('learning rate is: ', learning_rate)\\n\",\"  rnn_overfit, _ = captioning_train(model, small_image_data, small_caption_data,\\n\",\"                num_epochs=num_epochs, batch_size=batch_size,\\n\",\"                learning_rate=learning_rate)\"],\"execution_count\":20,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"learning rate is:  0.001\\n\",\"(Epoch 0 / 80) loss: 74.9834 time per epoch: 0.0s\\n\",\"(Epoch 1 / 80) loss: 69.3423 time per epoch: 0.0s\\n\",\"(Epoch 2 / 80) loss: 63.9067 time per epoch: 0.0s\\n\",\"(Epoch 3 / 80) loss: 58.7820 time per epoch: 0.0s\\n\",\"(Epoch 4 / 80) loss: 54.1007 time per epoch: 0.0s\\n\",\"(Epoch 5 / 80) loss: 50.1186 time per epoch: 0.0s\\n\",\"(Epoch 6 / 80) loss: 47.0628 time per epoch: 0.0s\\n\",\"(Epoch 7 / 80) loss: 44.8437 time per epoch: 0.0s\\n\",\"(Epoch 8 / 80) loss: 43.2064 time per epoch: 0.0s\\n\",\"(Epoch 9 / 80) loss: 41.9968 time per epoch: 0.0s\\n\",\"(Epoch 10 / 80) loss: 41.0013 time per epoch: 0.0s\\n\",\"(Epoch 11 / 80) loss: 40.0934 time per epoch: 0.0s\\n\",\"(Epoch 12 / 80) loss: 39.2601 time per epoch: 0.0s\\n\",\"(Epoch 13 / 80) loss: 38.4734 time per epoch: 0.0s\\n\",\"(Epoch 14 / 80) loss: 37.6922 time per epoch: 0.0s\\n\",\"(Epoch 15 / 80) loss: 36.9879 time per epoch: 0.0s\\n\",\"(Epoch 16 / 80) loss: 36.3508 time per epoch: 0.0s\\n\",\"(Epoch 17 / 80) loss: 35.7304 time per epoch: 0.0s\\n\",\"(Epoch 18 / 80) loss: 35.1119 time per epoch: 0.0s\\n\",\"(Epoch 19 / 80) loss: 34.5991 time per epoch: 0.0s\\n\",\"(Epoch 20 / 80) loss: 34.5432 time per epoch: 0.0s\\n\",\"(Epoch 21 / 80) loss: 34.4157 time per epoch: 0.0s\\n\",\"(Epoch 22 / 80) loss: 32.8794 time per epoch: 0.0s\\n\",\"(Epoch 23 / 80) loss: 32.9720 time per epoch: 0.0s\\n\",\"(Epoch 24 / 80) loss: 32.0864 time per epoch: 0.0s\\n\",\"(Epoch 25 / 80) loss: 31.4791 time per epoch: 0.0s\\n\",\"(Epoch 26 / 80) loss: 31.0903 time per epoch: 0.0s\\n\",\"(Epoch 27 / 80) loss: 30.2299 time per epoch: 0.0s\\n\",\"(Epoch 28 / 80) loss: 29.8127 time per epoch: 0.0s\\n\",\"(Epoch 29 / 80) loss: 28.9927 time per epoch: 0.0s\\n\",\"(Epoch 30 / 80) loss: 28.6262 time per epoch: 0.0s\\n\",\"(Epoch 31 / 80) loss: 27.7692 time per epoch: 0.0s\\n\",\"(Epoch 32 / 80) loss: 27.1598 time per epoch: 0.0s\\n\",\"(Epoch 33 / 80) loss: 26.5575 time per epoch: 0.0s\\n\",\"(Epoch 34 / 80) loss: 25.8030 time per epoch: 0.0s\\n\",\"(Epoch 35 / 80) loss: 25.1870 time per epoch: 0.0s\\n\",\"(Epoch 36 / 80) loss: 24.5207 time per epoch: 0.0s\\n\",\"(Epoch 37 / 80) loss: 23.7815 time per epoch: 0.0s\\n\",\"(Epoch 38 / 80) loss: 23.0061 time per epoch: 0.0s\\n\",\"(Epoch 39 / 80) loss: 22.2356 time per epoch: 0.0s\\n\",\"(Epoch 40 / 80) loss: 21.5041 time per epoch: 0.0s\\n\",\"(Epoch 41 / 80) loss: 20.7728 time per epoch: 0.0s\\n\",\"(Epoch 42 / 80) loss: 20.1200 time per epoch: 0.0s\\n\",\"(Epoch 43 / 80) loss: 20.2695 time per epoch: 0.0s\\n\",\"(Epoch 44 / 80) loss: 21.0020 time per epoch: 0.0s\\n\",\"(Epoch 45 / 80) loss: 18.6792 time per epoch: 0.0s\\n\",\"(Epoch 46 / 80) loss: 18.6407 time per epoch: 0.0s\\n\",\"(Epoch 47 / 80) loss: 17.5664 time per epoch: 0.0s\\n\",\"(Epoch 48 / 80) loss: 16.3098 time per epoch: 0.0s\\n\",\"(Epoch 49 / 80) loss: 16.1317 time per epoch: 0.0s\\n\",\"(Epoch 50 / 80) loss: 14.7506 time per epoch: 0.0s\\n\",\"(Epoch 51 / 80) loss: 14.6522 time per epoch: 0.0s\\n\",\"(Epoch 52 / 80) loss: 13.4670 time per epoch: 0.0s\\n\",\"(Epoch 53 / 80) loss: 12.7164 time per epoch: 0.0s\\n\",\"(Epoch 54 / 80) loss: 12.2084 time per epoch: 0.0s\\n\",\"(Epoch 55 / 80) loss: 11.4326 time per epoch: 0.0s\\n\",\"(Epoch 56 / 80) loss: 10.7911 time per epoch: 0.0s\\n\",\"(Epoch 57 / 80) loss: 10.1057 time per epoch: 0.0s\\n\",\"(Epoch 58 / 80) loss: 9.3851 time per epoch: 0.0s\\n\",\"(Epoch 59 / 80) loss: 8.8505 time per epoch: 0.0s\\n\",\"(Epoch 60 / 80) loss: 8.2560 time per epoch: 0.0s\\n\",\"(Epoch 61 / 80) loss: 7.6143 time per epoch: 0.0s\\n\",\"(Epoch 62 / 80) loss: 7.1074 time per epoch: 0.0s\\n\",\"(Epoch 63 / 80) loss: 6.4944 time per epoch: 0.0s\\n\",\"(Epoch 64 / 80) loss: 6.0002 time per epoch: 0.0s\\n\",\"(Epoch 65 / 80) loss: 5.5684 time per epoch: 0.0s\\n\",\"(Epoch 66 / 80) loss: 5.0876 time per epoch: 0.0s\\n\",\"(Epoch 67 / 80) loss: 4.6550 time per epoch: 0.0s\\n\",\"(Epoch 68 / 80) loss: 4.2588 time per epoch: 0.0s\\n\",\"(Epoch 69 / 80) loss: 3.8697 time per epoch: 0.0s\\n\",\"(Epoch 70 / 80) loss: 3.5511 time per epoch: 0.0s\\n\",\"(Epoch 71 / 80) loss: 3.2447 time per epoch: 0.0s\\n\",\"(Epoch 72 / 80) loss: 2.9364 time per epoch: 0.0s\\n\",\"(Epoch 73 / 80) loss: 2.6771 time per epoch: 0.0s\\n\",\"(Epoch 74 / 80) loss: 2.4380 time per epoch: 0.0s\\n\",\"(Epoch 75 / 80) loss: 2.2130 time per epoch: 0.0s\\n\",\"(Epoch 76 / 80) loss: 2.0227 time per epoch: 0.0s\\n\",\"(Epoch 77 / 80) loss: 1.8475 time per epoch: 0.0s\\n\",\"(Epoch 78 / 80) loss: 1.6804 time per epoch: 0.0s\\n\",\"(Epoch 79 / 80) loss: 1.5380 time per epoch: 0.0s\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 720x576 with 1 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"UiHsRysE6bhe\"},\"source\":[\"## Caption sampling\\n\",\"Unlike classification models, image captioning models behave very differently at training time and at test time. At training time, we have access to the ground-truth caption, so we feed ground-truth words as input to the RNN at each timestep. At test time, we sample from the distribution over the vocabulary at each timestep, and feed the sample as input to the RNN at the next timestep.\\n\",\"\\n\",\"Implement the `CaptioningRNN.sample` for test-time sampling. After doing so, run the following to train a captioning model and sample from the model on both training and validation data.\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"BN_sn1YcFZz4\"},\"source\":[\"### Train the net\\n\",\"After you are done implementing the `CaptioningRNN.sample` method, perform the training on the entire training set. You should see a final loss less than `2.0` and each epoch should take ~6s to run.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"dXHnPuM_FU7k\",\"colab\":{\"base_uri\":\"https://localhost:8080/\",\"height\":1000},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1617548635795,\"user_tz\":-60,\"elapsed\":218166,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"b09c17cd-72d8-46e5-93de-d4dfb0758f7b\"},\"source\":[\"reset_seed(0)\\n\",\"\\n\",\"# data input\\n\",\"small_num_train = num_train\\n\",\"sample_idx = torch.randint(num_train, size=(small_num_train,), **to_long_cuda)\\n\",\"small_image_data = data_dict['train_images'][sample_idx].to('cuda')\\n\",\"small_caption_data = data_dict['train_captions'][sample_idx].to('cuda')\\n\",\"\\n\",\"# optimization arguments\\n\",\"num_epochs = 60\\n\",\"batch_size = 250\\n\",\"\\n\",\"# create the image captioning model\\n\",\"rnn_model = CaptioningRNN(\\n\",\"          cell_type='rnn',\\n\",\"          word_to_idx=data_dict['vocab']['token_to_idx'],\\n\",\"          input_dim=1280, # hard-coded, do not modify\\n\",\"          hidden_dim=512,\\n\",\"          wordvec_dim=256,\\n\",\"          ignore_index=NULL_index,\\n\",\"          **to_float_cuda)\\n\",\"\\n\",\"for learning_rate in [1e-3]:\\n\",\"  print('learning rate is: ', learning_rate)\\n\",\"  rnn_model_submit, rnn_loss_submit = captioning_train(rnn_model, small_image_data, small_caption_data,\\n\",\"                num_epochs=num_epochs, batch_size=batch_size,\\n\",\"                learning_rate=learning_rate)\"],\"execution_count\":21,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"learning rate is:  0.001\\n\",\"(Epoch 0 / 60) loss: 47.9454 time per epoch: 3.5s\\n\",\"(Epoch 1 / 60) loss: 41.8320 time per epoch: 3.5s\\n\",\"(Epoch 2 / 60) loss: 38.4790 time per epoch: 3.5s\\n\",\"(Epoch 3 / 60) loss: 36.2520 time per epoch: 3.5s\\n\",\"(Epoch 4 / 60) loss: 34.0477 time per epoch: 3.5s\\n\",\"(Epoch 5 / 60) loss: 31.9155 time per epoch: 3.5s\\n\",\"(Epoch 6 / 60) loss: 30.0870 time per epoch: 3.5s\\n\",\"(Epoch 7 / 60) loss: 28.4690 time per epoch: 3.5s\\n\",\"(Epoch 8 / 60) loss: 26.9873 time per epoch: 3.5s\\n\",\"(Epoch 9 / 60) loss: 25.6115 time per epoch: 3.5s\\n\",\"(Epoch 10 / 60) loss: 24.6501 time per epoch: 3.5s\\n\",\"(Epoch 11 / 60) loss: 23.1754 time per epoch: 3.5s\\n\",\"(Epoch 12 / 60) loss: 21.8725 time per epoch: 3.5s\\n\",\"(Epoch 13 / 60) loss: 20.8670 time per epoch: 3.5s\\n\",\"(Epoch 14 / 60) loss: 19.9433 time per epoch: 3.4s\\n\",\"(Epoch 15 / 60) loss: 18.8503 time per epoch: 3.5s\\n\",\"(Epoch 16 / 60) loss: 17.8244 time per epoch: 3.5s\\n\",\"(Epoch 17 / 60) loss: 16.6534 time per epoch: 3.5s\\n\",\"(Epoch 18 / 60) loss: 16.0774 time per epoch: 3.5s\\n\",\"(Epoch 19 / 60) loss: 15.2735 time per epoch: 3.5s\\n\",\"(Epoch 20 / 60) loss: 14.5647 time per epoch: 3.5s\\n\",\"(Epoch 21 / 60) loss: 13.7209 time per epoch: 3.5s\\n\",\"(Epoch 22 / 60) loss: 12.9537 time per epoch: 3.5s\\n\",\"(Epoch 23 / 60) loss: 11.8725 time per epoch: 3.5s\\n\",\"(Epoch 24 / 60) loss: 11.2673 time per epoch: 3.5s\\n\",\"(Epoch 25 / 60) loss: 10.4729 time per epoch: 3.5s\\n\",\"(Epoch 26 / 60) loss: 10.0335 time per epoch: 3.5s\\n\",\"(Epoch 27 / 60) loss: 9.7959 time per epoch: 3.5s\\n\",\"(Epoch 28 / 60) loss: 8.9885 time per epoch: 3.5s\\n\",\"(Epoch 29 / 60) loss: 9.2800 time per epoch: 3.5s\\n\",\"(Epoch 30 / 60) loss: 8.2090 time per epoch: 3.5s\\n\",\"(Epoch 31 / 60) loss: 8.0285 time per epoch: 3.5s\\n\",\"(Epoch 32 / 60) loss: 7.4369 time per epoch: 3.5s\\n\",\"(Epoch 33 / 60) loss: 7.1646 time per epoch: 3.5s\\n\",\"(Epoch 34 / 60) loss: 6.6693 time per epoch: 3.5s\\n\",\"(Epoch 35 / 60) loss: 6.3017 time per epoch: 3.5s\\n\",\"(Epoch 36 / 60) loss: 6.1844 time per epoch: 3.5s\\n\",\"(Epoch 37 / 60) loss: 5.7150 time per epoch: 3.5s\\n\",\"(Epoch 38 / 60) loss: 5.4556 time per epoch: 3.5s\\n\",\"(Epoch 39 / 60) loss: 5.3793 time per epoch: 3.5s\\n\",\"(Epoch 40 / 60) loss: 5.1162 time per epoch: 3.5s\\n\",\"(Epoch 41 / 60) loss: 4.8148 time per epoch: 3.5s\\n\",\"(Epoch 42 / 60) loss: 4.5811 time per epoch: 3.5s\\n\",\"(Epoch 43 / 60) loss: 3.9963 time per epoch: 3.5s\\n\",\"(Epoch 44 / 60) loss: 4.0604 time per epoch: 3.5s\\n\",\"(Epoch 45 / 60) loss: 3.6748 time per epoch: 3.5s\\n\",\"(Epoch 46 / 60) loss: 3.6234 time per epoch: 3.5s\\n\",\"(Epoch 47 / 60) loss: 3.1448 time per epoch: 3.5s\\n\",\"(Epoch 48 / 60) loss: 2.8355 time per epoch: 3.5s\\n\",\"(Epoch 49 / 60) loss: 2.5898 time per epoch: 3.5s\\n\",\"(Epoch 50 / 60) loss: 2.6199 time per epoch: 3.5s\\n\",\"(Epoch 51 / 60) loss: 2.5247 time per epoch: 3.5s\\n\",\"(Epoch 52 / 60) loss: 2.3850 time per epoch: 3.5s\\n\",\"(Epoch 53 / 60) loss: 2.2724 time per epoch: 3.5s\\n\",\"(Epoch 54 / 60) loss: 1.9900 time per epoch: 3.5s\\n\",\"(Epoch 55 / 60) loss: 2.1294 time per epoch: 3.5s\\n\",\"(Epoch 56 / 60) loss: 1.9264 time per epoch: 3.5s\\n\",\"(Epoch 57 / 60) loss: 1.7580 time per epoch: 3.5s\\n\",\"(Epoch 58 / 60) loss: 1.5899 time per epoch: 3.5s\\n\",\"(Epoch 59 / 60) loss: 1.7027 time per epoch: 3.5s\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 720x576 with 1 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"97xga3Q5GO8B\"},\"source\":[\"### Test-time sampling\\n\",\"The samples on training data should be very good; the samples on validation data will probably make less sense.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"Rvt326nX6bhf\",\"colab\":{\"base_uri\":\"https://localhost:8080/\",\"height\":1000},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1617548725539,\"user_tz\":-60,\"elapsed\":2917,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"4ed17cad-a9c2-4b81-8a6a-bd5c6b712e91\"},\"source\":[\"# Sample a minibatch and show the reshaped 112x112 images,\\n\",\"# GT captions, and generated captions by your model.\\n\",\"batch_size = 3\\n\",\"\\n\",\"for split in ['train', 'val']:\\n\",\"  sample_idx = torch.randint(0, num_train if split=='train' else num_val, (batch_size,))\\n\",\"  sample_images = data_dict[split+'_images'][sample_idx]\\n\",\"  sample_captions = data_dict[split+'_captions'][sample_idx]\\n\",\"\\n\",\"  # decode_captions is loaded from a4_helper.py\\n\",\"  gt_captions = decode_captions(sample_captions, data_dict['vocab']['idx_to_token'])\\n\",\"  rnn_model.eval()\\n\",\"  generated_captions = rnn_model.sample(sample_images)\\n\",\"  generated_captions = decode_captions(generated_captions, data_dict['vocab']['idx_to_token'])\\n\",\"\\n\",\"  for i in range(batch_size):\\n\",\"    plt.imshow(sample_images[i].permute(1, 2, 0))\\n\",\"    plt.axis('off')\\n\",\"    plt.title('%s\\\\nRNN Generated:%s\\\\nGT:%s' % (split, generated_captions[i], gt_captions[i]))\\n\",\"    plt.show()\"],\"execution_count\":23,\"outputs\":[{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 720x576 with 1 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\\n\",\"text/plain\":[\"<Figure 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\\n\",\"text/plain\":[\"<Figure 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\\n\",\"text/plain\":[\"<Figure 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\\n\",\"text/plain\":[\"<Figure 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\\n\",\"text/plain\":[\"<Figure size 720x576 with 1 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"vVeGWWQTvMMF\",\"tags\":[\"pdf-title\"]},\"source\":[\"# Image Captioning with LSTMs\\n\",\"In the previous exercise you implemented a vanilla RNN and applied it to image captioning. Next, we will implement the LSTM update rule and use it for image captioning.\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"_8Zd6FGPvMMa\"},\"source\":[\"# LSTM\\n\",\"If you read recent papers, you'll see that many people use a variant on the vanilla RNN called Long-Short Term Memory (LSTM) RNNs. Vanilla RNNs can be tough to train on long sequences due to vanishing and exploding gradients caused by repeated matrix multiplication. LSTMs solve this problem by replacing the simple update rule of the vanilla RNN with a gating mechanism as follows.\\n\",\"\\n\",\"Similar to the vanilla RNN, at each timestep we receive an input $x_t\\\\in\\\\mathbb{R}^D$ and the previous hidden state $h_{t-1}\\\\in\\\\mathbb{R}^H$; the LSTM also maintains an $H$-dimensional *cell state*, so we also receive the previous cell state $c_{t-1}\\\\in\\\\mathbb{R}^H$. The learnable parameters of the LSTM are an *input-to-hidden* matrix $W_x\\\\in\\\\mathbb{R}^{4H\\\\times D}$, a *hidden-to-hidden* matrix $W_h\\\\in\\\\mathbb{R}^{4H\\\\times H}$ and a *bias vector* $b\\\\in\\\\mathbb{R}^{4H}$.\\n\",\"\\n\",\"At each timestep we first compute an *activation vector* $a\\\\in\\\\mathbb{R}^{4H}$ as $a=W_xx_t + W_hh_{t-1}+b$. We then divide this into four vectors $a_i,a_f,a_o,a_g\\\\in\\\\mathbb{R}^H$ where $a_i$ consists of the first $H$ elements of $a$, $a_f$ is the next $H$ elements of $a$, etc. We then compute the *input gate* $g\\\\in\\\\mathbb{R}^H$, *forget gate* $f\\\\in\\\\mathbb{R}^H$, *output gate* $o\\\\in\\\\mathbb{R}^H$ and *block input* $g\\\\in\\\\mathbb{R}^H$ as\\n\",\"\\n\",\"$$\\n\",\"\\\\begin{align*}\\n\",\"i = \\\\sigma(a_i) \\\\hspace{2pc}\\n\",\"f = \\\\sigma(a_f) \\\\hspace{2pc}\\n\",\"o = \\\\sigma(a_o) \\\\hspace{2pc}\\n\",\"g = \\\\tanh(a_g)\\n\",\"\\\\end{align*}\\n\",\"$$\\n\",\"\\n\",\"where $\\\\sigma$ is the sigmoid function and $\\\\tanh$ is the hyperbolic tangent, both applied elementwise.\\n\",\"\\n\",\"Finally we compute the next cell state $c_t$ and next hidden state $h_t$ as\\n\",\"\\n\",\"$$\\n\",\"c_{t} = f\\\\odot c_{t-1} + i\\\\odot g \\\\hspace{4pc}\\n\",\"h_t = o\\\\odot\\\\tanh(c_t)\\n\",\"$$\\n\",\"\\n\",\"where $\\\\odot$ is the elementwise product of vectors.\\n\",\"\\n\",\"In the rest of the notebook we will implement the LSTM update rule and apply it to the image captioning task. \\n\",\"\\n\",\"In the code, we assume that data is stored in batches so that $X_t \\\\in \\\\mathbb{R}^{N\\\\times D}$, and will work with *transposed* versions of the parameters: $W_x \\\\in \\\\mathbb{R}^{D \\\\times 4H}$, $W_h \\\\in \\\\mathbb{R}^{H\\\\times 4H}$ so that activations $A \\\\in \\\\mathbb{R}^{N\\\\times 4H}$ can be computed efficiently as $A = X_t W_x + H_{t-1} W_h$\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"t4DNkZYevMMc\"},\"source\":[\"## LSTM: step forward\\n\",\"Implement the forward pass for a single timestep of an LSTM in the `lstm_step_forward` function. This should be similar to the `rnn_step_forward` function that you implemented above, but using the LSTM update rule instead.\\n\",\"\\n\",\"Don't worry about the backward part! `autograd` will handle it.\\n\",\"\\n\",\"Once you are done, run the following to perform a simple test of your implementation. You should see errors on the order of `1e-7` or less.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"awLF_A5ZvMMd\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1617548730698,\"user_tz\":-60,\"elapsed\":961,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"12ee3df3-99b9-4176-b1bf-45a251a9e100\"},\"source\":[\"N, D, H = 3, 4, 5\\n\",\"x = torch.linspace(-0.4, 1.2, steps=N*D, **to_double_cuda).reshape(N, D)\\n\",\"prev_h = torch.linspace(-0.3, 0.7, steps=N*H, **to_double_cuda).reshape(N, H)\\n\",\"prev_c = torch.linspace(-0.4, 0.9, steps=N*H, **to_double_cuda).reshape(N, H)\\n\",\"Wx = torch.linspace(-2.1, 1.3, steps=4*D*H, **to_double_cuda).reshape(D, 4 * H)\\n\",\"Wh = torch.linspace(-0.7, 2.2, steps=4*H*H, **to_double_cuda).reshape(H, 4 * H)\\n\",\"b = torch.linspace(0.3, 0.7, steps=4*H, **to_double_cuda)\\n\",\"\\n\",\"# YOUR_TURN: Impelement lstm_step_forward\\n\",\"next_h, next_c = lstm_step_forward(x, prev_h, prev_c, Wx, Wh, b)\\n\",\"\\n\",\"expected_next_h = torch.tensor([\\n\",\"    [ 0.24635157,  0.28610883,  0.32240467,  0.35525807,  0.38474904],\\n\",\"    [ 0.49223563,  0.55611431,  0.61507696,  0.66844003,  0.7159181 ],\\n\",\"    [ 0.56735664,  0.66310127,  0.74419266,  0.80889665,  0.858299  ]], **to_double_cuda)\\n\",\"expected_next_c = torch.tensor([\\n\",\"    [ 0.32986176,  0.39145139,  0.451556,    0.51014116,  0.56717407],\\n\",\"    [ 0.66382255,  0.76674007,  0.87195994,  0.97902709,  1.08751345],\\n\",\"    [ 0.74192008,  0.90592151,  1.07717006,  1.25120233,  1.42395676]], **to_double_cuda)\\n\",\"\\n\",\"print('next_h error: ', rel_error(expected_next_h, next_h))\\n\",\"print('next_c error: ', rel_error(expected_next_c, next_c))\"],\"execution_count\":24,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"next_h error:  2.606541143878583e-09\\n\",\"next_c error:  1.7376745523804369e-09\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"ErgRQwwzvMMt\"},\"source\":[\"## LSTM: forward\\n\",\"Implement the `lstm_forward` function to run an LSTM forward on an entire timeseries of data.\\n\",\"\\n\",\"Again, don't worry about the backward part! `autograd` will handle it.\\n\",\"\\n\",\"When you are done, run the following to check your implementation. You should see an error on the order of `1e-7` or less.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"_x-3BJiEvMMv\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1617548733544,\"user_tz\":-60,\"elapsed\":955,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"094cdce6-9e21-4d25-c31d-153f620f9282\"},\"source\":[\"N, D, H, T = 2, 5, 4, 3\\n\",\"x = torch.linspace(-0.4, 0.6, steps=N*T*D, **to_double_cuda).reshape(N, T, D)\\n\",\"h0 = torch.linspace(-0.4, 0.8, steps=N*H, **to_double_cuda).reshape(N, H)\\n\",\"Wx = torch.linspace(-0.2, 0.9, steps=4*D*H, **to_double_cuda).reshape(D, 4 * H)\\n\",\"Wh = torch.linspace(-0.3, 0.6, steps=4*H*H, **to_double_cuda).reshape(H, 4 * H)\\n\",\"b = torch.linspace(0.2, 0.7, steps=4*H, **to_double_cuda)\\n\",\"\\n\",\"# YOUR_TURN: Impelement lstm_forward\\n\",\"h = lstm_forward(x, h0, Wx, Wh, b)\\n\",\"\\n\",\"expected_h = torch.tensor([\\n\",\" [[ 0.01764008,  0.01823233,  0.01882671,  0.0194232 ],\\n\",\"  [ 0.11287491,  0.12146228,  0.13018446,  0.13902939],\\n\",\"  [ 0.31358768,  0.33338627,  0.35304453,  0.37250975]],\\n\",\" [[ 0.45767879,  0.4761092,   0.4936887,   0.51041945],\\n\",\"  [ 0.6704845,   0.69350089,  0.71486014,  0.7346449 ],\\n\",\"  [ 0.81733511,  0.83677871,  0.85403753,  0.86935314]]], **to_double_cuda)\\n\",\"\\n\",\"print('h error: ', rel_error(expected_h, h))\"],\"execution_count\":25,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"h error:  1.405721962694057e-08\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"_YZ3OqrqkjLt\"},\"source\":[\"## LSTM Module\\n\",\"\\n\",\"We can now wrap the LSTM functions we wrote into an nn.Module. You can check the `LSTM` module in the script.\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"92SStL_tvMNK\"},\"source\":[\"## LSTM captioning model\\n\",\"\\n\",\"Now that you have implemented an LSTM, update the `CaptioningRNN.__init__` and `CaptioningRNN.forward` implementation method **ONLY** to also handle the case where `self.cell_type` is `lstm`. **This should require adding less than 5 lines of code.**\\n\",\"\\n\",\"Once you have done so, run the following to check your implementation. You should see a difference on the order of `1e-7` or less.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"NNpiC4WSvMNL\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1617548736943,\"user_tz\":-60,\"elapsed\":1836,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"803716a2-8857-44f5-b730-6125a637a4f5\"},\"source\":[\"reset_seed(0)\\n\",\"\\n\",\"N, D, W, H = 10, 1280, 30, 40\\n\",\"D_img = 112\\n\",\"word_to_idx = {'<NULL>': 0, 'cat': 2, 'dog': 3}\\n\",\"V = len(word_to_idx)\\n\",\"T = 13\\n\",\"\\n\",\"# YOUR_TURN: Impelement CaptioningRNN for lstm \\n\",\"model = CaptioningRNN(word_to_idx,\\n\",\"          input_dim=D,\\n\",\"          wordvec_dim=W,\\n\",\"          hidden_dim=H,\\n\",\"          cell_type='lstm',\\n\",\"          ignore_index=NULL_index,\\n\",\"          **to_float_cuda)\\n\",\"\\n\",\"for k,v in model.named_parameters():\\n\",\"  # print(k, v.shape) # uncomment this to see the weight shape\\n\",\"  v.data.copy_(torch.linspace(-1.4, 1.3, steps=v.numel()).reshape(*v.shape))\\n\",\"\\n\",\"images = torch.linspace(-3., 3., steps=(N * 3 * D_img * D_img),\\n\",\"                       **to_float_cuda).reshape(N, 3, D_img, D_img)\\n\",\"captions = (torch.arange(N * T, **to_long_cuda) % V).reshape(N, T)\\n\",\"\\n\",\"loss = model(images, captions).item()\\n\",\"expected_loss = 146.3161468505\\n\",\"\\n\",\"print('loss: ', loss)\\n\",\"print('expected loss: ', expected_loss)\\n\",\"print('difference: ', rel_error(torch.tensor(loss), torch.tensor(expected_loss)))\"],\"execution_count\":26,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"loss:  146.31614685058594\\n\",\"expected loss:  146.3161468505\\n\",\"difference:  0.0\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"06hbDnRXvMNO\"},\"source\":[\"## Overfit small data\\n\",\"We have written this part for you. Run the following to overfit an LSTM captioning model on the same small dataset as we used for the RNN previously. You should see a final loss less than `4` after 80 epochs and it should run fairly quickly.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"O-tETnd3vMNP\",\"colab\":{\"base_uri\":\"https://localhost:8080/\",\"height\":1000},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1617548745603,\"user_tz\":-60,\"elapsed\":3736,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"b1488de2-4ee4-4403-eacc-8d77560b2fc1\"},\"source\":[\"reset_seed(0)\\n\",\"\\n\",\"# data input\\n\",\"small_num_train = 50\\n\",\"sample_idx = torch.linspace(0, num_train-1, steps=small_num_train, **to_float_cuda).long()\\n\",\"small_image_data = data_dict['train_images'][sample_idx].to('cuda')\\n\",\"small_caption_data = data_dict['train_captions'][sample_idx].to('cuda')\\n\",\"\\n\",\"# optimization arguments\\n\",\"num_epochs = 80\\n\",\"batch_size = 50\\n\",\"\\n\",\"# create the image captioning model\\n\",\"model = CaptioningRNN(\\n\",\"          cell_type='lstm',\\n\",\"          word_to_idx=data_dict['vocab']['token_to_idx'],\\n\",\"          input_dim=1280, # hard-coded, do not modify\\n\",\"          hidden_dim=512,\\n\",\"          wordvec_dim=256,\\n\",\"          ignore_index=NULL_index,\\n\",\"          **to_float_cuda)\\n\",\"\\n\",\"for learning_rate in [1e-2]:\\n\",\"  print('learning rate is: ', learning_rate)\\n\",\"  lstm_overfit, _ = captioning_train(model, small_image_data, small_caption_data,\\n\",\"                num_epochs=num_epochs, batch_size=batch_size,\\n\",\"                learning_rate=learning_rate)\"],\"execution_count\":27,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"learning rate is:  0.01\\n\",\"(Epoch 0 / 80) loss: 74.7988 time per epoch: 0.0s\\n\",\"(Epoch 1 / 80) loss: 70.8773 time per epoch: 0.0s\\n\",\"(Epoch 2 / 80) loss: 52.0955 time per epoch: 0.0s\\n\",\"(Epoch 3 / 80) loss: 47.6569 time per epoch: 0.0s\\n\",\"(Epoch 4 / 80) loss: 48.5426 time per epoch: 0.0s\\n\",\"(Epoch 5 / 80) loss: 44.9833 time per epoch: 0.0s\\n\",\"(Epoch 6 / 80) loss: 44.5398 time per epoch: 0.0s\\n\",\"(Epoch 7 / 80) loss: 42.9094 time per epoch: 0.0s\\n\",\"(Epoch 8 / 80) loss: 41.7084 time per epoch: 0.0s\\n\",\"(Epoch 9 / 80) loss: 40.3241 time per epoch: 0.0s\\n\",\"(Epoch 10 / 80) loss: 38.6823 time per epoch: 0.0s\\n\",\"(Epoch 11 / 80) loss: 36.7537 time per epoch: 0.0s\\n\",\"(Epoch 12 / 80) loss: 34.8410 time per epoch: 0.0s\\n\",\"(Epoch 13 / 80) loss: 33.0249 time per epoch: 0.0s\\n\",\"(Epoch 14 / 80) loss: 30.8768 time per epoch: 0.0s\\n\",\"(Epoch 15 / 80) loss: 28.7614 time per epoch: 0.0s\\n\",\"(Epoch 16 / 80) loss: 26.7375 time per epoch: 0.0s\\n\",\"(Epoch 17 / 80) loss: 24.6891 time per epoch: 0.0s\\n\",\"(Epoch 18 / 80) loss: 22.5849 time per epoch: 0.0s\\n\",\"(Epoch 19 / 80) loss: 20.1701 time per epoch: 0.0s\\n\",\"(Epoch 20 / 80) loss: 18.2967 time per epoch: 0.0s\\n\",\"(Epoch 21 / 80) loss: 16.2583 time per epoch: 0.0s\\n\",\"(Epoch 22 / 80) loss: 14.4967 time per epoch: 0.0s\\n\",\"(Epoch 23 / 80) loss: 12.9016 time per epoch: 0.0s\\n\",\"(Epoch 24 / 80) loss: 11.5352 time per epoch: 0.0s\\n\",\"(Epoch 25 / 80) loss: 10.2966 time per epoch: 0.0s\\n\",\"(Epoch 26 / 80) loss: 9.3364 time per epoch: 0.0s\\n\",\"(Epoch 27 / 80) loss: 8.3583 time per epoch: 0.0s\\n\",\"(Epoch 28 / 80) loss: 7.6586 time per epoch: 0.0s\\n\",\"(Epoch 29 / 80) loss: 6.9145 time per epoch: 0.0s\\n\",\"(Epoch 30 / 80) loss: 6.3556 time per epoch: 0.0s\\n\",\"(Epoch 31 / 80) loss: 5.8210 time per epoch: 0.0s\\n\",\"(Epoch 32 / 80) loss: 5.4053 time per epoch: 0.0s\\n\",\"(Epoch 33 / 80) loss: 5.0689 time per epoch: 0.0s\\n\",\"(Epoch 34 / 80) loss: 4.8101 time per epoch: 0.0s\\n\",\"(Epoch 35 / 80) loss: 4.6014 time per epoch: 0.0s\\n\",\"(Epoch 36 / 80) loss: 4.4411 time per epoch: 0.0s\\n\",\"(Epoch 37 / 80) loss: 4.3268 time per epoch: 0.0s\\n\",\"(Epoch 38 / 80) loss: 4.2384 time per epoch: 0.0s\\n\",\"(Epoch 39 / 80) loss: 4.1667 time per epoch: 0.0s\\n\",\"(Epoch 40 / 80) loss: 4.1158 time per epoch: 0.0s\\n\",\"(Epoch 41 / 80) loss: 4.0817 time per epoch: 0.0s\\n\",\"(Epoch 42 / 80) loss: 4.0440 time per epoch: 0.0s\\n\",\"(Epoch 43 / 80) loss: 4.0256 time per epoch: 0.0s\\n\",\"(Epoch 44 / 80) loss: 4.0092 time per epoch: 0.0s\\n\",\"(Epoch 45 / 80) loss: 3.9969 time per epoch: 0.0s\\n\",\"(Epoch 46 / 80) loss: 3.9828 time per epoch: 0.0s\\n\",\"(Epoch 47 / 80) loss: 3.9735 time per epoch: 0.0s\\n\",\"(Epoch 48 / 80) loss: 3.9677 time per epoch: 0.0s\\n\",\"(Epoch 49 / 80) loss: 3.9618 time per epoch: 0.0s\\n\",\"(Epoch 50 / 80) loss: 3.9535 time per epoch: 0.0s\\n\",\"(Epoch 51 / 80) loss: 3.9495 time per epoch: 0.0s\\n\",\"(Epoch 52 / 80) loss: 3.9478 time per epoch: 0.0s\\n\",\"(Epoch 53 / 80) loss: 3.9432 time per epoch: 0.0s\\n\",\"(Epoch 54 / 80) loss: 3.9393 time per epoch: 0.0s\\n\",\"(Epoch 55 / 80) loss: 3.9390 time per epoch: 0.0s\\n\",\"(Epoch 56 / 80) loss: 3.9370 time per epoch: 0.0s\\n\",\"(Epoch 57 / 80) loss: 3.9338 time per epoch: 0.0s\\n\",\"(Epoch 58 / 80) loss: 3.9326 time per epoch: 0.0s\\n\",\"(Epoch 59 / 80) loss: 3.9322 time per epoch: 0.0s\\n\",\"(Epoch 60 / 80) loss: 3.9296 time per epoch: 0.0s\\n\",\"(Epoch 61 / 80) loss: 3.9313 time per epoch: 0.0s\\n\",\"(Epoch 62 / 80) loss: 3.9302 time per epoch: 0.0s\\n\",\"(Epoch 63 / 80) loss: 3.9297 time per epoch: 0.0s\\n\",\"(Epoch 64 / 80) loss: 3.9288 time per epoch: 0.0s\\n\",\"(Epoch 65 / 80) loss: 3.9273 time per epoch: 0.0s\\n\",\"(Epoch 66 / 80) loss: 3.9264 time per epoch: 0.0s\\n\",\"(Epoch 67 / 80) loss: 3.9257 time per epoch: 0.0s\\n\",\"(Epoch 68 / 80) loss: 3.9252 time per epoch: 0.0s\\n\",\"(Epoch 69 / 80) loss: 3.9248 time per epoch: 0.0s\\n\",\"(Epoch 70 / 80) loss: 3.9244 time per epoch: 0.0s\\n\",\"(Epoch 71 / 80) loss: 3.9240 time per epoch: 0.0s\\n\",\"(Epoch 72 / 80) loss: 3.9234 time per epoch: 0.0s\\n\",\"(Epoch 73 / 80) loss: 3.9223 time per epoch: 0.0s\\n\",\"(Epoch 74 / 80) loss: 3.9226 time per epoch: 0.0s\\n\",\"(Epoch 75 / 80) loss: 3.9221 time per epoch: 0.0s\\n\",\"(Epoch 76 / 80) loss: 3.9217 time per epoch: 0.0s\\n\",\"(Epoch 77 / 80) loss: 3.9217 time per epoch: 0.0s\\n\",\"(Epoch 78 / 80) loss: 3.9215 time per epoch: 0.0s\\n\",\"(Epoch 79 / 80) loss: 3.9211 time per epoch: 0.0s\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"iVBORw0KGgoAAAANSUhEUgAAAl4AAAHwCAYAAAB332GFAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+WH4yJAAAgAElEQVR4nO3deXycZb3+8es7mexNuqRJ932lLbSFUGhByir74gKCiFVR1MNx5SeiHsX9oB71uIDKAbQiIooCFQTBUiwgWwstlC50oSttk65pk2b//v6YJxBq2k4mmXkyM5/369XXzDyzXc9A0qvPfc/9mLsLAAAAyRcJOwAAAEC2oHgBAACkCMULAAAgRSheAAAAKULxAgAASBGKFwAAQIpQvAAkhZk9bGZzuvuxncxwqplt7u7XPcz7uZmNPcR9V5rZo6nKAqBnMtbxAtDGzPa3u1kkqUFSS3D74+5+V+pTJc7MTpX0O3cfmqL3c0nj3H1NF17jN5I2u/t/dVswAD1GNOwAAHoOd+/Vdt3M1kv6qLv/4+DHmVnU3ZtTmQ3xMbMcd2858iMBhIGhRgBH1DZkZ2ZfNLNtkn5tZn3N7EEzqzaz3cH1oe2e84SZfTS4/iEze8rM/id47Otmdm6Cjx1lZgvNbJ+Z/cPMbjaz38W5H0cF77XHzF41s4va3XeemS0PXneLmf2/YHv/YN/2mNkuM3vSzA73u/NMM1sdPP5mM7P2+xVcNzP7sZlVmVmNmb1iZlPM7BpJV0q63sz2m9lf48j9GzP7hZn9zcxqJX3ezLabWU67x7zbzJbG8xkBSC6KF4B4DZTUT9IISdco9vvj18Ht4ZIOSPr5YZ5/gqRVkvpL+r6k29tKSScf+3tJz0sqk/R1SVfFE97MciX9VdKjkiokfUrSXWY2IXjI7YoNp5ZImiLp8WD7dZI2SyqXNEDSlyUdbo7GBZKOl3SMpMsknd3BY94p6RRJ4yX1Dh63091vlXSXpO+7ey93vzCO3JL0fknfkVQi6WeSdgbv0eYqSb89TGYAKULxAhCvVkk3unuDux9w953u/md3r3P3fYr9xT/7MM/f4O7/FwyDzZU0SLEiE/djzWy4YqXma+7e6O5PSZoXZ/4TJfWSdFPw3MclPSjpiuD+JkmTzKzU3Xe7+4vttg+SNMLdm9z9ST/85Nib3H2Pu2+UtEDStA4e06RYSZqo2FzbFe6+NcHckvSAuz/t7q3uXq/YZ/YBSTKzfoqVv98fJjOAFKF4AYhXdfCXuiTJzIrM7FdmtsHMaiQtlNSn/RDXQba1XXH3uuBqr04+drCkXe22SdKmOPMPlrTJ3VvbbdsgaUhw/T2SzpO0wcz+aWYzg+0/kLRG0qNmts7MbjjC+2xrd71OHexjUJ5+LulmSVVmdquZlSaYW/r3z+B3ki40s2LFjqY9eZhiByCFKF4A4nXwUZ7rJE2QdIK7lyo2dCZJhxo+7A5bJfUzs6J224bF+dw3JA07aH7WcElbJMndX3D3ixUbzrtf0h+D7fvc/Tp3Hy3pIsXmUJ3Rxf2Qu//U3Y+TNEmxIccvtN3VmdwdPcfdt0h6RtK7FRtmvLOreQF0D4oXgESVKDava08wnHVjst/Q3TdIWiTp62aWFxyVujDOpz+n2BGo680sN1hq4kJJfwhe60oz6+3uTZJqFBtalZldYGZjgzlmexVbXqO147eIj5kdb2YnBPO3aiXVt3vN7ZJGx5P7CG/zW0nXSzpa0l+6khdA96F4AUjU/0oqlLRD0rOSHknR+14paaZiE8i/LekexdYbOyx3b1SssJyrWOZbJH3Q3VcGD7lK0vpg2PQTwftI0jhJ/5C0X7GjSLe4+4Iu7kOppP+TtFuxYcOdig1pSrFJ/pOCbzDeH0fuQ7lPsS8+3HfQ0CyAELGAKoC0Zmb3SFrp7kk/4pZuzGytYt/U/Le12ACEgyNeANJKMEw3xswiZnaOpIsVm5OFdszsPYrN/Xr8SI8FkDqsXA8g3QxUbM5SmWLra33S3V8KN1LPYmZPKDZp/6qDvg0JIGQMNQIAAKQIQ40AAAApQvECAABIkbSY49W/f38fOXJk2DEAAACOaPHixTvcvbyj+9KieI0cOVKLFi0KOwYAAMARmdmGQ93HUCMAAECKULwAAABShOIFAACQIhQvAACAFKF4AQAApAjFCwAAIEUoXgAAAClC8QIAAEgRihcAAECKULwAAABShOIFAACQIhQvAACAFKF4AQAApAjFCwAAIEUoXgAAAClC8QIAAEgRipckd9fWvQfCjgEAADIcxUvSf92/TBf+7Cm1tnrYUQAAQAajeEmqHNlXO/Y36pUte8OOAgAAMhjFS9Ls8RUykx5fWRV2FAAAkMEoXpL6Fefp2OF9tWAVxQsAACQPxStw+sQKvbx5r6r21YcdBQAAZCiKV+C0CRWSpCdWVYecBAAAZCqKV+CoQSUa1LtAj69guBEAACQHxStgZjp1QoWeWrNDjc2tYccBAAAZiOLVzukTK7S/oVkvrN8VdhQAAJCBKF7tnDS2THnRCMtKAACApKB4tVOUF9XM0WVaQPECAABJQPE6yOkTK7RuR61e31EbdhQAAJBhKF4HOX1ibFkJhhsBAEB3o3gdZFi/Io2t6MVwIwAA6HYUrw6cPrFCz72+U/sbmsOOAgAAMgjFqwOnT6xQU4vrqdU7wo4CAAAyCMWrA8eN6KuSgijDjQAAoFtRvDqQmxPRKePLtWBVldw97DgAACBDULwO4fQJFara16BX36gJOwoAAMgQFK9DOHVCucyk+Zw0GwAAdBOK1yGU9crX1KF99PgqihcAAOgeFK/DOGNihV7evEc79jeEHQUAAGQAitdhzJ5QLnfp2XU7w44CAAAyAMXrMAb3KZQk7aptDDkJAADIBEkrXmY2wcyWtPtTY2afNbN+ZvaYma0OLvsmK0NXlRREJUk1B5pCTgIAADJB0oqXu69y92nuPk3ScZLqJN0n6QZJ8919nKT5we0eKT+ao/xoRPvqOXUQAADoulQNNZ4haa27b5B0saS5wfa5ki5JUYaElBbmqqaeI14AAKDrUlW8Lpd0d3B9gLtvDa5vkzSgoyeY2TVmtsjMFlVXV6ciY4dKC6KqOcARLwAA0HVJL15mlifpIkl/Ovg+j52Pp8Nz8rj7re5e6e6V5eXlSU55aCUFHPECAADdIxVHvM6V9KK7bw9ubzezQZIUXPboFUpjQ40c8QIAAF2XiuJ1hd4aZpSkeZLmBNfnSHogBRkSVloQ1T6+1QgAALpBUouXmRVLOkvSX9ptvknSWWa2WtKZwe0ei8n1AACgu0ST+eLuXiup7KBtOxX7lmNaKCmIMtQIAAC6BSvXH0FpQa4am1tV39QSdhQAAJDmKF5HUFqYK0kMNwIAgC6jeB1BaXDaIFavBwAAXUXxOoLSguCIF99sBAAAXUTxOoLSwuBE2RzxAgAAXUTxOoKS4IjXPuZ4AQCALqJ4HcFbQ40c8QIAAF1D8TqCt4YaOeIFAAC6huJ1BIW5OcqJGEONAACgyyheR2BmKi2IMtQIAAC6jOIVB87XCAAAugPFKw4lBVEWUAUAAF1G8YpDaUEuC6gCAIAuo3jFobSAoUYAANB1FK84lDC5HgAAdAOKVxxKC3NZTgIAAHQZxSsOpQW5qm1sUXNLa9hRAABAGqN4xaFt9Xq+2QgAALqC4hWHt06UTfECAACJo3jFobSA8zUCAICuo3jFobQwdsSLtbwAAEBXULziUPLmES+GGgEAQOIoXnEoDeZ4MdQIAAC6guIVB4YaAQBAd6B4xaFXPstJAACArqN4xSEnYirJjzLUCAAAuoTiFafSwlzO1wgAALqE4hWnkoIo52sEAABdQvGKU2lBLkONAACgSyhecSotjDLUCAAAuoTiFaeSglzta+CIFwAASBzFK06lBRzxAgAAXUPxilNpYa721TeptdXDjgIAANIUxStOpQW5anWptpGjXgAAIDEUrzi1nSib1esBAECiKF5xevN8jSwpAQAAEkTxilNpQduJsjniBQAAEkPxitNbQ40c8QIAAImheMWJoUYAANBVFK84lQZHvBhqBAAAiaJ4xakkmOPFUCMAAEgUxStOedGICnIjqmE5CQAAkCCKVyeUFuSq5gBHvAAAQGIoXp1QUhBlAVUAAJAwilcnlBbm8q1GAACQMIpXJzDUCAAAuoLi1QkMNQIAgK5IavEysz5mdq+ZrTSzFWY208z6mdljZrY6uOybzAzdiaFGAADQFck+4vUTSY+4+0RJUyWtkHSDpPnuPk7S/OB2WogNNXLECwAAJCZpxcvMeks6RdLtkuTuje6+R9LFkuYGD5sr6ZJkZehuJQVRNba0qr6pJewoAAAgDSXziNcoSdWSfm1mL5nZbWZWLGmAu28NHrNN0oCOnmxm15jZIjNbVF1dncSY8eN8jQAAoCuSWbyiko6V9At3ny6pVgcNK7q7S/KOnuzut7p7pbtXlpeXJzFm/DhfIwAA6IpkFq/Nkja7+3PB7XsVK2LbzWyQJAWXVUnM0K044gUAALoiacXL3bdJ2mRmE4JNZ0haLmmepDnBtjmSHkhWhu7WdsSLJSUAAEAiokl+/U9JusvM8iStk/RhxcreH83sakkbJF2W5AzdprQgOOLFIqoAACABSS1e7r5EUmUHd52RzPdNFoYaAQBAV7ByfSeUMNQIAAC6gOLVCYW5OYpGjKFGAACQEIpXJ5gZpw0CAAAJo3h1EifKBgAAiaJ4dVLsfI0c8QIAAJ1H8eqk0sKoajjiBQAAEkDx6qSS/FztY44XAABIAMWrk0oLo5yrEQAAJITi1UmlBXyrEQAAJIbi1UklBbmqa2xRc0tr2FEAAECaoXh1Umkhq9cDAIDEULw66c0TZTPcCAAAOoni1UltJ8rmiBcAAOgsilcntZ0om0VUAQBAZ1G8OomhRgAAkCiKVye1Ta5nLS8AANBZFK9OKuGIFwAASBDFq5NK8qMyE+drBAAAnUbx6qRIxNQrP8rkegAA0GkUrwSUFuSynAQAAOg0ilcCSgqizPECAACdRvFKQGlhLkONAACg0yheCSgtiDLUCAAAOo3ilYDSglyGGgEAQKdRvBLAUCMAAEgExSsBJQVR7W9oVmurhx0FAACkEYpXAkoLctXqUm0j87wAAED8KF4JePN8jUywBwAAnUDxSkBpcL7GfUywBwAAnUDxSsCbJ8o+wBEvAAAQP4pXAt4cauSbjQAAoBMoXgl4c6ixgeIFAADiR/FKQElB2xEvhhoBAED8KF4JeGuOF0e8AABA/CheCciLRlSYm8NpgwAAQKdQvBJUwomyAQBAJ1G8ElRayImyAQBA51C8ElRaEGVyPQAA6BSKV4LKS/K1eXdd2DEAAEAaoXgl6PiR/bR+Z5227j0QdhQAAJAmKF4JmjWmvyTpX2t2hpwEAACkC4pXgiYOLFG/4jz9ay3FCwAAxIfilaBIxDRzdJn+tXaH3D3sOAAAIA1QvLpg1tgybd1br/U7mWQPAACOjOLVBW3zvJ5esyPkJAAAIB1QvLpgZFmRBvUu0DPM8wIAAHGIJvPFzWy9pH2SWiQ1u3ulmfWTdI+kkZLWS7rM3XcnM0eymJlmjemvx1duV2urKxKxsCMBAIAeLBVHvE5z92nuXhncvkHSfHcfJ2l+cDttzRpTpt11TVq5bV/YUQAAQA8XxlDjxZLmBtfnSrokhAzdZtbYMknSv9YyzwsAABxesouXS3rUzBab2TXBtgHuvjW4vk3SgCRnSKpBvQs1un8x63kBAIAjSuocL0knu/sWM6uQ9JiZrWx/p7u7mXW4CFZQ1K6RpOHDhyc5ZtfMHFOm+1/aoqaWVuXm8H0FAADQsaS2BHffElxWSbpP0gxJ281skCQFl1WHeO6t7l7p7pXl5eXJjNllJ43tr9rGFr28eW/YUQAAQA+WtOJlZsVmVtJ2XdI7JS2TNE/SnOBhcyQ9kKwMqXLi6Ng8r2eY5wUAAA4jmUe8Bkh6ysyWSnpe0kPu/oikmySdZWarJZ0Z3E5r/YrzNGlQqZ7mhNkAAOAwkjbHy93XSZrawfadks5I1vuGZdaYMv322Q2qb2pRQW5O2HEAAEAPxEzwbjJrbJkam1v14oa0XAsWAACkAMWrm8wYVaaciOlp5nkBAIBDoHh1k175UU0d2vuQ63k1t7Rq7r/W68WNHBEDACBbUby60Ulj++vlzXu1r77pbdur9zXoqtuf143zXtW3HlweUjoAABA2ilc3mjmmTC2trudf3/XmthfW79L5P31SL27crZPH9tdLG/do694DIaYEAABhoXh1o2OH91V+NKKn1+yUu+u2J9fp8lufVVFeju6/9iR94+LJkqRHX90eclIAABCGZJ8yKKsU5OaocmRf/fO1Km2964AeXrZNZ08eoB9cOlWlBbmSpHEVvfTwsq2aM2tkuGEBAEDKccSrm80a019rq2v16PLt+sp5R+mXHzjuzdIlSedOGajnX9+lnfsbQkwJAADCQPHqZhdNHazZ48t198dO1MdOGS0ze9v950wZpFaXHl3OcCMAANmG4tXNhvUr0tyPzNCMUf06vP+oQSUaUVakh5dtS3EyAAAQNopXipmZzpkyUP9as0N765qO/AQAAJAxKF4hOGfyQDW3uuavZLgRAIBsQvEKwdShfTSodwHDjQAAZBmKVwgiEdPZkwdq4WvVqm1oDjsOAABIEYpXSM6dMlANza1asKoq7CgAACBFKF4hqRzZT/175THcCABAFqF4hSQnYjpr0kAtWFml+qaWsOMAAIAUoHiF6NwpA1XX2KInV+8IOwoAAEgBileIZo4pU+/CXD28bGvYUQAAQApQvEKUmxPRmUcN0D+Wb1djc2vYcQAAQJJRvEJ2zpSBqqlv1jPrdoYdBQAAJBnFK2TvGNdfxXk5eoThRgAAMh7FK2QFuTk6bWKF/vbKNj2wZAvfcAQAIINFww4A6eOnjNFLG/foM39YotKCqC6ZPkSXVQ7TlCG9w44GAAC6kbl72BmOqLKy0hctWhR2jKRqbXX9a+1O/XHRJj3y6jY1Nrdq8uBSXVY5TO87fpgKcnPCjggAAOJgZovdvbKj+zji1UNEIqaTx/XXyeP6a09do+YtfUP3vLBJN857VS+s36WfXTFdZhZ2TAAA0AXM8eqB+hTl6YMzR+qhT79D1501Xg++vFX3vbQl7FgAAKCLKF493H+cNlbHj+yrrz3wqjbtqgs7DgAA6AKKVw+XEzH96LJpMkmfu2eJWlp7/pw8AADQMYpXGhjWr0jfvGSyFm3YrV88sSbsOAAAIEEUrzRxybQhunDqYP3vP1Zr6aY9YccBAAAJoHilCTPTty+eooqSfH32niWqbWgOOxIAAOgkilca6V2Uqx9eNk3rd9bq2w8tDzsOAADoJIpXmpk5pkzXnDJadz+/SX9/dVvYcQAAQCdQvNLQdWdN0OTBpfrCn5bq1Tf2hh0HAADEieKVhvKiEf3yA8epV35UV93+vFZv3xd2JAAAEAeKV5oa1q9Iv/voCYqY6crbntP6HbVhRwIAAEdA8Upjo8t76a6PnqCmllZdedtz2rLnQNiRAADAYVC80tyEgSW68+oTVFPfpCv/71lV1dSHHQkAABwCxSsDTBnSW7/58AxV7WvQlbc9p537G8KOBAAAOkDxyhDHjeir2+ccr4276nTV7c+rpr4p7EgAAOAgFK8MMnNMmX511XF6bfs+/efvX1JzS2vYkQAAQDsUrwxz6oQKffuSKVr4WrW+87cVYccBAADtRMMOgO53+Yzhem37ft3x9OsaP6BEV8wYHnYkAAAgjnhlrC+fN1Gzx5frq/cv0zNrd4YdBwAAiOKVsaI5Ef3s/dM1sn+xPnnXYm3YyQKrAACELa7iZWbFZhYJro83s4vMLDe50dBVpQW5un1OpSTp6rmLtI9vOgIAEKp4j3gtlFRgZkMkPSrpKkm/ieeJZpZjZi+Z2YPB7VFm9pyZrTGze8wsL5HgiM+IsmLdcuWxWr+jVp+++yW1tHrYkQAAyFrxFi9z9zpJ75Z0i7tfKmlynM/9jKT2X6/7nqQfu/tYSbslXR1vWCRm1pj++sbFk7VgVbW+/8jKsOMAAJC14i5eZjZT0pWSHgq25cTxpKGSzpd0W9uLSDpd0r3BQ+ZKuqQzgZGYK08YoStPGK5fLVynp9fsCDsOAABZKd7i9VlJX5J0n7u/amajJS2I43n/K+l6SW0reZZJ2uPuzcHtzZKGdCIvuuC/zp+kMeXFuu6PS7WnrjHsOAAAZJ24ipe7/9PdL3L37wWT7He4+6cP9xwzu0BSlbsvTiSYmV1jZovMbFF1dXUiL4GDFObl6CeXT9eO/Q36yv3L5M58LwAAUinebzX+3sxKzaxY0jJJy83sC0d42kmSLjKz9ZL+oNgQ408k9TGztoVbh0ra0tGT3f1Wd69098ry8vJ4YiIOU4b01ufOGq+HXt6q+5d0+NEDAIAkiXeocZK71yg2H+thSaMU+2bjIbn7l9x9qLuPlHS5pMfd/UrFhijfGzxsjqQHEgmOxH1i9hgdP7Kvvnb/q9q8uy7sOAAAZI14i1dusG7XJZLmuXuTpETHqb4o6fNmtkaxOV+3J/g6SFBOxPSjy6bJJX3+j0tZYgIAgBSJt3j9StJ6ScWSFprZCEk18b6Juz/h7hcE19e5+wx3H+vul7p7Q2dDo+uG9SvS1y+arOdf36VbF64LOw4AAFkh3sn1P3X3Ie5+nsdskHRakrMhyd5z7BCdd/RA/eixVVq2ZW/YcQAAyHjxTq7vbWY/avuWoZn9ULGjX0hjZqbvXHK0+hbl6bP3LFF9U0vYkQAAyGjxDjXeIWmfpMuCPzWSfp2sUEidvsV5+sGlU7Wmaj9DjgAAJFm8xWuMu98YzM9a5+7fkDQ6mcGQOrPHl+v8owfp5gVrtGkX33IEACBZ4i1eB8zs5LYbZnaSpAPJiYQwfOX8oxQx07ceXB52FAAAMla8xesTkm42s/XBgqg/l/TxpKVCyg3uU6hPnTFWjy7fridWVYUdBwCAjBTvtxqXuvtUScdIOsbdpyu2Ej0yyNUnj9Ko/sX6+rxX1dDMRHsAALpbvEe8JEnuXhOsYC9Jn09CHoQoP5qjr180Wet31um2J18POw4AABmnU8XrINZtKdBjzB5frrMnD9DPH1+jLXuYxgcAQHfqSvHiPDMZ6qsXTJLL9Z2HmGgPAEB3OmzxMrN9ZlbTwZ99kganKCNSbGjfIl176lj97ZVtemr1jrDjAACQMQ5bvNy9xN1LO/hT4u7RVIVE6n3slNEaUVakG+ctU2Nza9hxAADICF0ZakQGK8jN0dcvnKy11bW642km2gMA0B0oXjik0yZW6MyjBuin81dr614m2gMA0FUULxzWjRdOUkur69sPrQg7CgAAaY/ihcMa1q9I1542Vg+9vJWJ9gAAdBHFC0d0TTDR/mtMtAcAoEsoXjiigtzYivbrqmt1+1NMtAcAIFEUL8TltAkVeuek2ET7N1jRHgCAhFC8ELe2Fe2/zYr2AAAkhOKFuA3rV6T/PC22ov3C16rDjgMAQNqheKFTPnbKaI0sK9LX572qhuaWsOMAAJBWKF7olPxoMNF+R61ue5KJ9gAAdAbFC5126oQKnTN5oH72+Gpt2lUXdhwAANIGxQsJufGiScox01fuXyZ3DzsOAABpgeKFhAzqXajrz5moha9V64Elb4QdBwCAtEDxQsI+cOIITRvWR998cLl21zaGHQcAgB6P4oWE5URMN73naNUcaNJ3/sZJtAEAOBKKF7pk4sBSfXz2aN27eLOeXsNJtAEAOByKF7rsU6eP08iyIn35vldU38TaXgAAHArFC11WkJuj777raG3YWaefzl8ddhwAAHosihe6xayx/XXpcUN168J1WrG1Juw4AAD0SBQvdJsvn3eUehfm6oa/vKKWVtb2AgDgYBQvdJu+xXn62oWTtHTTHt39/Maw4wAA0ONQvNCtLpo6WDNG9tNP5q9WXWNz2HEAAOhRKF7oVmamL547UdX7GnTHU5xEGwCA9ihe6HbHjeirsyYN0C//uU67WNEeAIA3UbyQFNefPUF1jc26ecGasKMAANBjULyQFOMGlOg9xw7Vnc9s0ObddWHHAQCgR6B4IWk+d9Z4yaQfP8aiqgAASBQvJNHgPoX60KyR+stLm7VyG4uqAgBA8UJS/cepY9QrP6ofPLIq7CgAAISO4oWk6lOUp0/MHqP5K6v0wvpdYccBACBUFC8k3UdOGqWKknzd9PBKuXMqIQBA9qJ4IekK83L0mTPHafGG3frHiqqw4wAAEBqKF1LissphGt2/WN9/ZKWaW1rDjgMAQCgoXkiJ3JyIvnD2BK2u2q8/v7g57DgAAIQiacXLzArM7HkzW2pmr5rZN4Lto8zsOTNbY2b3mFlesjKgZzlnykBNH95HP3rsNR1obAk7DgAAKZfMI14Nkk5396mSpkk6x8xOlPQ9ST9297GSdku6OokZ0IOYmb507lHaXtOgO57mBNoAgOyTtOLlMfuDm7nBH5d0uqR7g+1zJV2SrAzoeWaM6qczjxqgXz6xlhNoAwCyTlLneJlZjpktkVQl6TFJayXtcffm4CGbJQ1JZgb0PF88Z4JqG5v1s8c5lRAAILsktXi5e4u7T5M0VNIMSRPjfa6ZXWNmi8xsUXV1ddIyIvXGDSjR+44fpt89u0Ebd3ICbQBA9kjJtxrdfY+kBZJmSupjZtHgrqGSthziObe6e6W7V5aXl6ciJlLos2eOV07E9INHOZUQACB7JPNbjeVm1ie4XijpLEkrFCtg7w0eNkfSA8nKgJ5rQGmBPnryaP116Rt6efOesOMAAJASyTziNUjSAjN7WdILkh5z9wclfVHS581sjaQySbcnMQN6sI/PHq1+xXmcSggAkDWiR35IYtz9ZUnTO9i+TrH5XshyJQW5+vTpY/X1vy7XP1+r1qkTKsKOBABAUrFyPUL1/hNGaERZkW56eKVaWjnqBQDIbBQvhCovGjuV0Mpt+/TnxZxKCACQ2SheCN35Rw/SscP76AePrtL+huYjPwEAgDRF8ULozExfvWCSqvc16JdPrA07DgAASUPxQo8wfXhfXTJtsMJGtG8AABqESURBVG59cp0272ZRVQBAZqJ4oce4/pyJiph008Mrw44CAEBSULzQYwzuU6hrThmjB1/eqsUbdoUdBwCAbkfxQo/yidmjNaA0X9/863K1srwEACDDULzQoxTlRXX92RO1dPNe3b+kw9N4AgCQtihe6HHeNX2IjhnaW99/ZJXqGlleAgCQOShe6HEiEdPXLpikbTX1+tU/14UdBwCAbkPxQo9UObKfzj9mkH61cK227j0QdhwAALoFxQs91g3nTFSrS99jeQkAQIageKHHGtavSB89eZTuX/KGlm7aE3YcAAC6jOKFHu2Tp45R/155+vZDy+XO8hIAgPRG8UKPVlKQq8+fNUEvrN+tR5ZtCzsOAABdQvFCj3dZ5VCNH9BL//3wSjU0t4QdBwCAhFG80ONFcyL6yvmTtHFXne58ZkPYcQAASBjFC2lh9vhyzR5frp/MX61dtY1hxwEAICEUL6SNr5x/lGobmvXT+avDjgIAQEIoXkgb4weU6IoZw3Xnsxu0pmp/2HEAAOg0ihfSyufOGq/C3Bzd9PCKsKMAANBpFC+klf698nXtaWP1jxVV+teaHWHHAQCgUyheSDsfPmmkhvQp1LceWqGWVhZVBQCkD4oX0k5Bbo6+eO5Erdhao/te2hJ2HAAA4kbxQlq64OhBmjq0t3746CrVN7GoKgAgPVC8kJYiEdMN5x6lrXvr9eun14cdBwCAuFC8kLZmjinTGRMrdMuCNSyqCgBICxQvpLUvnjtRtY3N+vnja8KOAgDAEVG8kNbGDyjRZZXDdOez67VxZ13YcQAAOCyKF9Le584ar5yI6QePrgo7CgAAh0XxQtobUFqgj71jtP669A0t3bQn7DgAABwSxQsZ4ZpTRqusOE/f/dsKubOoKgCgZ6J4ISOUFOTqs2eO03Ov79KCVVVhxwEAoEMUL2SMy2cM16j+xfrvv61Uc0tr2HEAAPg3FC9kjNyciL54zgStrtqvP7+4Oew4AAD8G4oXMsrZkwfqmKG9dcsTaznqBQDocSheyChmpmtPG6sNO+v00Ctbw44DAMDbULyQcc46aoDGVfTSLQvWqrWVbzgCAHoOihcyTiRi+o/TxmjV9n16fCXfcAQA9BwUL2SkC48ZrKF9C/XzBWtY1wsA0GNQvJCRojkRfWL2GC3ZtEfPrNsZdhwAACRRvJDB3nvcUJWX5OuWBWvDjgIAgCSKFzJYQW6OPvaOUXpqzQ4t4RyOAIAegOKFjPb+E0aod2Gubl6wJuwoAABQvJDZeuVH9aFZI/XY8u1atW1f2HEAAFmO4oWM96FZI1WUl6NfPMFRLwBAuJJWvMxsmJktMLPlZvaqmX0m2N7PzB4zs9XBZd9kZQAkqW9xnq48YbjmLX1DG3fWhR0HAJDFknnEq1nSde4+SdKJkq41s0mSbpA0393HSZof3AaS6qPvGK1oJKJfLuQbjgCA8CSteLn7Vnd/Mbi+T9IKSUMkXSxpbvCwuZIuSVYGoM2A0gJdWjlUf1q0SWuqmOsFAAhHSuZ4mdlISdMlPSdpgLu3nb14m6QBh3jONWa2yMwWVVdXpyImMtznzhqvoryo/uv+ZaxmDwAIRdKLl5n1kvRnSZ9195r293nsb78O/wZ091vdvdLdK8vLy5MdE1mgf698XX/OBD27bpfue2lL2HEAAFkoqcXLzHIVK113uftfgs3bzWxQcP8gSZzFGClzxfHDNW1YH33noRXaW9cUdhwAQJZJ5rcaTdLtkla4+4/a3TVP0pzg+hxJDyQrA3CwSMT0nXdN0e66Rn3/7yvDjgMAyDLJPOJ1kqSrJJ1uZkuCP+dJuknSWWa2WtKZwW0gZSYP7q0PzRql3z+/US9t3B12HABAFrF0mGRcWVnpixYtCjsGMsj+hmad8cMnVFacr3n/eZKiOawlDADoHma22N0rO7qPv22QlXrlR/W1CyZr+dYa/faZDWHHAQBkCYoXstZ5Rw/U7PHl+tFjr2nb3vqw4wAAsgDFC1nLzPTNiyerqaVV33pwedhxAABZgOKFrDairFjXnjZWD72yVQtfY6FeAEByUbyQ9T4+e7RGlBXp2w8tV3NLa9hxAAAZjOKFrJcfzdGXzp2o17bv1x9e2BR2HABABqN4AZLOnjxQM0b1048fe0019axoDwBIDooXoNhE+6+eP0m76hp184I1YccBAGQoihcQOHpob717+lD9+qn12rizLuw4AIAMRPEC2vnC2ROUEzF97xHO4wgA6H4UL6Cdgb0L9PHZo/XQK1v1wvpdYccBAGQYihdwkGtOGa0Bpfn69oPL1dra889lCgBIHxQv4CBFeVFdf/ZELd28Vw8s3RJ2HABABqF4AR141/QhOnpIb33/kVU60NgSdhwAQIageAEdiERMX71gkrburdetC9eFHQcAkCEoXsAhzBjVT+cfPUg3P7FGa6v3hx0HAJABKF7AYdx44SQVRCO64c8vM9EeANBlFC/gMCpKC/TVCybphfW7deezG8KOAwBIcxQv4Ajee9xQnTK+XN97ZKU27WJFewBA4ihewBGYmb77rikySV/6yytyZ8gRAJAYihcQh6F9i3TDuRP11Jod+tOizWHHAQCkKYoXEKcrTxihGaP66VsPLdf2mvqw4wAA0hDFC4hTJGL63nuOUWNzq75y3zKGHAEAnUbxAjphVP9iXffO8frHiu3668tbw44DAEgzFC+gkz5y0ihNHdpbX5/3qnbsbwg7DgAgjVC8gE6K5kT0g0unan9Ds77wp6UMOQIA4kbxAhIwfkCJvnLeUVqwqlq/fnp92HEAAGmC4gUk6IMzR+iMiRW66eGVWv5GTdhxAABpgOIFJMjM9P33HqM+Rbn61N0v6kBjS9iRAAA9HMUL6IKyXvn60WXTtG5Hrb754PKw4wAAejiKF9BFJ4/rr2tOGa27n9+oR5axxAQA4NAoXkA3uO6sCTpmaG998c+v6I09B8KOAwDooSheQDfIi0b008unq6mlVZ+7Z4laWlliAgDw7yheQDcZ2b9Y37x4ip57fZd+On912HEAAD0QxQvoRu85dojec+xQ/WT+aj348hthxwEA9DAUL6AbmZm+++4pqhzRV9f9camWbtoTdiQAQA9C8QK6WX40R7+66jhVlObro79dxGR7AMCbKF5AEpT1ytftc45XfWOLrp67SLUNzWFHAgD0ABQvIEnGDyjRz94/Xau21egzf+CbjgAAiheQVKdOqNCNF07WP1Zs1/cfWRl2HABAyKJhBwAy3ZxZI7Wmar9+tXCdRpcX633HDw87EgAgJBQvIAVuvHCS1u+s1VfuW6aKkgKdNrEi7EgAgBAw1AikQDQnopuvPFYTBpbok3ct1gvrd4UdCQAQAooXkCKlBbma+5EZGty7UB/5zQta/kZN2JEAAClG8QJSqH+vfN350RPUKz+qD97xvF7fURt2JABAClG8gBQb0qdQd159glrd9YHbntO2vfVhRwIApEjSipeZ3WFmVWa2rN22fmb2mJmtDi77Juv9gZ5sbEUvzf3wDO090KQP3P6cdtU2hh0JAJACyTzi9RtJ5xy07QZJ8919nKT5wW0gKx09tLdum1Opjbvq9OFfP6/9rG4PABkvacXL3RdKOvirWxdLmhtcnyvpkmS9P5AOThxdplvef6yWvVGjy375DOd1BIAMl+o5XgPcfWtwfZukASl+f6DHOXPSAN0+p1KbdtXpop8/rRc37g47EgAgSUKbXO/uLumQJ68zs2vMbJGZLaqurk5hMiD1Tp1QofuunaWivBxdfuuzemDJlrAjAQCSINXFa7uZDZKk4LLqUA9091vdvdLdK8vLy1MWEAjL2IoSPXDtSZo+rI8+84cl+sHfV6qVE2sDQEZJdfGaJ2lOcH2OpAdS/P5Aj9a3OE93Xn2CLj9+mG5esFafvGux6hqZdA8AmSKZy0ncLekZSRPMbLOZXS3pJklnmdlqSWcGtwG0kxeN6L/ffbS+esEkPbZ8uy795TPaupdJ9wCQCSw21apnq6ys9EWLFoUdA0i5BSur9Km7X1Jxfo5un3O8pgzpHXYkAMARmNlid6/s6D5Wrgd6sNMmVujeT85UNBLRpb98Rn9/dVvYkQAAXUDxAnq4iQNLdd+1szR+YIk+8bvFunXhWqXDkWoAwL+jeAFpoKKkQPdcc6LOmzJI3/3bSn3pL6+oqaU17FgAgE6Khh0AQHwKcnP0syuma2T/It28YK027a7T/75vuspL8sOOBgCIE0e8gDQSiZi+cPZE/c+lU/XC67t1+g+f0G+fWa8W1vsCgLRA8QLS0HuPG6qHP/sOTR3aR1974FVdfPNTWrJpT9ixAABHQPEC0tSY8l668+oZ+tkV01VV06B33fK0vnzfK9pT1xh2NADAIVC8gDRmZrpw6mDNv262PnLSKN3zwiad/sN/6t7Fm/nmIwD0QBQvIAOUFOTqqxdM0oOfOlmj+hfr//1pqT54x/PatKsu7GgAgHYoXkAGOWpQqf708Zn61sWT9eKG3XrnjxfqjqdeZ/I9APQQFC8gw0QipqtmjtSjn5+tE0f30zcfXK73/OJfem37vrCjAUDWo3gBGWpIn0Ld8aHj9ZPLp2nDzlqd/9Mn9ePHXlNtQ3PY0QAga1G8gAxmZrp42hD94/Ozdd7Rg/ST+at18vce188fX62a+qaw4wFA1rF0+OZTZWWlL1q0KOwYQNpbvGG3bl6wRo+vrFJJQVQfnjVSHz5plPoW54UdDQAyhpktdvfKDu+jeAHZZ9mWvbp5wRo9vGybivJydNWJI3T1O0apoqQg7GgAkPYoXgA69Nr2fbplwRrNW/qGojkRvefYobrmlNEa1b847GgAkLYoXgAOa/2OWt365Drdu3izmlpade6UgfrE7DE6ZmifsKMBQNqheAGIS9W+ev3m6fW689kN2lffrFljyvSxU0brlHHlyolY2PEAIC1QvAB0yr76Jt39/Ebd/tTr2l7ToIqSfF00dbDedewQTRpUKjNKGAAcCsULQEIam1s1f8V23ffSFi1YVaWmFtf4Ab10yfQhumTaEA3uUxh2RADocSheALpsd22jHnplq+57aYsWb9gtSZo6tLdOm1ih0ydWaMrg3oowHAkAFC8A3WvDzlrNW/KG5q+s0tLNe+Qu9e+Vr9MmlOu0iRU6aWx/9S7MDTsmAISC4gUgaXbub9A/X6vW4yurtPC1atXUN8tMGl9RomNH9NWxw/vouBF9Nap/MXPDAGQFiheAlGhuadWLG/fo2XU7tXjDbr24cbf21cfODdm3KFfHDu+rSYNLddSgUk0cWKIRZcV8WxJAxjlc8YqmOgyAzBXNiWjGqH6aMaqfJKm11bW2ev+bJeyljXv0xGvVammN/YOvMDdH4weW6KiBJRpb0Usjyoo1sqxIw/oVqSA3J8xdAYCk4IgXgJSqb2rRmqr9Wr61Riu37tOKrTVasa1Ge+reftLuQb0LNKKsSMP7FWlAaYEqSgtUUZIfu16Sr/KSfOXmRELaCwA4NI54AegxCnJzNGVIb00Z0vvNbe6uPXVNWr+zVht31Wn9jjpt2FWrDTvr9MSqau3Y36DWDv6N2LswV/2K89S3KFd9i/LUtzhP/Yrz1LswV6WFuSotiAaXuepdGFVJQa6K86MqzM1hiBNAKCheAEJnZupbHCtO04f3/bf7W1pdO/c3qGpfg7bX1L95ubu2UbvqmrS7tlFb99ZrxdYa7axtVENz6xHfMz8aUVFejoryoirKy1FhXo7yciLKz40oP9r+eux2fjSigtx2l7kR5eZElBMxRSMWXLa7nRNcWnBfjikSXH/7ZWz/2x4XafecnOC6RaSImSIWuzRru20ySWbiiwtAmqB4AejxciIWG2osLXjbkbJDqW9qUU19k2oONAeXTaqpb9a++ibVNbSotrFZBxpbVNf41vUDTS1qbG5VfVOrag40q6G5RQ3NrWpoan3zen1TS4dH3nqKSFDA2pexN6/r7cXN3lbkgm3tHvvW7bcXuoP7XcTe/liTpIOee/DrHkn757V/z7bXeNu2Q4Q73Nsc/NyD97EzU3AOVXjjef/Y4952o8PnH+4zs8O+05HfP57th32tdu/f07r/of7b3HjhJI0p75XiNG+heAHIOAW5OSrIzVFFSfe/dlNL65slrLnF1dzaqpZWV3Orxy7bbWvb3tru/pZWV4u73F0trWp3PfantW1722t4rAi4S63uag0uW1pj21zBpbtcsfti2/W27R48t+112j++td17vO01g9doE3uG2m/o4D2DR/lbz2n/uofibz7+7bfbtrS9vvRWMWr/am/PeWgHlypvl7OzJeJQ/Sye/fy36+2ec/C+HLIHtv+g43SobIlM93775+9v297ZDtbd/5453P60hPyvJ4oXAHRCbk5siLFXPr8+AXQeXwkCAABIEYoXAABAilC8AAAAUoTiBQAAkCIULwAAgBSheAEAAKQIxQsAACBFKF4AAAApQvECAABIEYoXAABAilC8AAAAUoTiBQAAkCIULwAAgBSheAEAAKQIxQsAACBFKF4AAAApQvECAABIEYoXAABAipi7h53hiMysWtKGJL9Nf0k7kvwePVm277/EZ8D+s//sf3bL9s+gO/d/hLuXd3RHWhSvVDCzRe5eGXaOsGT7/kt8Buw/+8/+Z+/+S3wGqdp/hhoBAABShOIFAACQIhSvt9wadoCQZfv+S3wG7H92Y/+R7Z9BSvafOV4AAAApwhEvAACAFKF4STKzc8xslZmtMbMbws6TbGZ2h5lVmdmydtv6mdljZrY6uOwbZsZkMrNhZrbAzJab2atm9plge1Z8BmZWYGbPm9nSYP+/EWwfZWbPBT8H95hZXthZk8nMcszsJTN7MLidbfu/3sxeMbMlZrYo2JYVPwOSZGZ9zOxeM1tpZivMbGa27L+ZTQj+u7f9qTGzz2bL/kuSmX0u+P23zMzuDn4vpuR3QNYXLzPLkXSzpHMlTZJ0hZlNCjdV0v1G0jkHbbtB0nx3HydpfnA7UzVLus7dJ0k6UdK1wX/zbPkMGiSd7u5TJU2TdI6ZnSjpe5J+7O5jJe2WdHWIGVPhM5JWtLudbfsvSae5+7R2X6HPlp8BSfqJpEfcfaKkqYr9v5AV++/uq4L/7tMkHSepTtJ9ypL9N7Mhkj4tqdLdp0jKkXS5UvQ7IOuLl6QZkta4+zp3b5T0B0kXh5wpqdx9oaRdB22+WNLc4PpcSZekNFQKuftWd38xuL5PsV+4Q5Qln4HH7A9u5gZ/XNLpku4Ntmfs/kuSmQ2VdL6k24Lbpiza/8PIip8BM+st6RRJt0uSuze6+x5lyf4f5AxJa919g7Jr/6OSCs0sKqlI0lal6HcAxSv2F+6mdrc3B9uyzQB33xpc3yZpQJhhUsXMRkqaLuk5ZdFnEAyzLZFUJekxSWsl7XH35uAhmf5z8L+SrpfUGtwuU3btvxQr24+a2WIzuybYli0/A6MkVUv6dTDcfJuZFSt79r+9yyXdHVzPiv139y2S/kfSRsUK115Ji5Wi3wEUL/wbj33VNeO/7mpmvST9WdJn3b2m/X2Z/hm4e0swzDBUsaO+E0OOlDJmdoGkKndfHHaWkJ3s7scqNs3iWjM7pf2dGf4zEJV0rKRfuPt0SbU6aFgtw/dfkhTMYbpI0p8Ovi+T9z+Yu3axYgV8sKRi/fv0m6SheElbJA1rd3tosC3bbDezQZIUXFaFnCepzCxXsdJ1l7v/JdicVZ+BJAXDKwskzZTUJzjsLmX2z8FJki4ys/WKTS04XbH5Ptmy/5Le/Fe/3L1Ksfk9M5Q9PwObJW129+eC2/cqVsSyZf/bnCvpRXffHtzOlv0/U9Lr7l7t7k2S/qLY74WU/A6geEkvSBoXfJshT7HDrvNCzhSGeZLmBNfnSHogxCxJFcznuV3SCnf/Ubu7suIzMLNyM+sTXC+UdJZi89wWSHpv8LCM3X93/5K7D3X3kYr9vD/u7lcqS/Zfksys2MxK2q5LeqekZcqSnwF33yZpk5lNCDadIWm5smT/27lCbw0zStmz/xslnWhmRcHfB23//VPyO4AFVCWZ2XmKzfnIkXSHu38n5EhJZWZ3SzpVsTOxb5d0o6T7Jf1R0nBJGyRd5u4HT8DPCGZ2sqQnJb2it+b4fFmxeV4Z/xmY2TGKTRzNUewfX39092+a2WjFjgD1k/SSpA+4e0N4SZPPzE6V9P/c/YJs2v9gX+8LbkYl/d7dv2NmZcqCnwFJMrNpin25Ik/SOkkfVvDzoOzY/2LFCshod98bbMum//7fkPQ+xb7l/pKkjyo2pyvpvwMoXgAAACnCUCMAAECKULwAAABShOIFAACQIhQvAACAFKF4AQAApAjFC0DaMLP9weVIM3t/N7/2lw+6/a/ufH0AkCheANLTSEmdKl7tVqQ+lLcVL3ef1clMAHBEFC8A6egmSe8wsyVm9rngpN8/MLMXzOxlM/u4FFsg1cyeNLN5iq1MLTO7Pzgx9KttJ4c2s5skFQavd1ewre3omgWvvczMXjGz97V77SfM7F4zW2lmdwWrYAPAIR3pX4AA0BPdoGDFeUkKCtRedz/ezPIlPW1mjwaPPVbSFHd/Pbj9EXffFZwu6QUz+7O732Bm/xmcOPxg75Y0TdJUxc728IKZLQzumy5psqQ3JD2t2Pnenur+3QWQKTjiBSATvFPSB81siWKnfiqTNC647/l2pUuSPm1mSyU9K2lYu8cdysmS7nb3luBkwv+UdHy7197s7q2Slig2BAoAh8QRLwCZwCR9yt3//raNsXMx1h50+0xJM929zsyekFTQhfdtfx63FvE7FcARcMQLQDraJ6mk3e2/S/qkmeVKkpmND04CfLDeknYHpWuipBPb3dfU9vyDPCnpfcE8snJJp0h6vlv2AkDW4V9nANLRy5JagiHD30j6iWLDfC8GE9yrJV3SwfMekfQJM1shaZViw41tbpX0spm96O5Xttt+n6SZkpZKcknXu/u2oLgBQKeYu4edAQAAICsw1AgAAJAiFC8AAIAUoXgBAACkCMULAAAgRSheAAAAKULxAgAASBGKFwAAQIpQvAAAAFLk/wMPOWyevAO0zQAAAABJRU5ErkJggg==\\n\",\"text/plain\":[\"<Figure size 720x576 with 1 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"4vzLUzlWvMNT\"},\"source\":[\"## Caption sampling\\n\",\"Modify the  `CaptioningRNN.sample` method in class to handle the case where `self.cell_type` is `lstm`. **This should take fewer than 10 lines of code.**\\n\",\"\\n\",\"When you are done, run the following to train a captioning model and sample from your the model on some training and validation set samples.\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"bn2PpJL5oC0J\"},\"source\":[\"### Train the net\\n\",\"Now, perform the training on the entire training set. You should see a final loss less than `2.8`. Each epoch should take ~7s to run.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"f9MFRowdoHW7\",\"colab\":{\"base_uri\":\"https://localhost:8080/\",\"height\":1000},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1617548984612,\"user_tz\":-60,\"elapsed\":237851,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"ab8f2a4e-3dbc-4a48-c1cd-36c7ad356687\"},\"source\":[\"reset_seed(0)\\n\",\"\\n\",\"# data input\\n\",\"small_num_train = num_train\\n\",\"sample_idx = torch.randint(num_train, size=(small_num_train,), **to_long_cuda)\\n\",\"small_image_data = data_dict['train_images'][sample_idx].to('cuda')\\n\",\"small_caption_data = data_dict['train_captions'][sample_idx].to('cuda')\\n\",\"\\n\",\"# optimization arguments\\n\",\"num_epochs = 60\\n\",\"batch_size = 250\\n\",\"\\n\",\"# create the image captioning model\\n\",\"lstm_model = CaptioningRNN(\\n\",\"          cell_type='lstm',\\n\",\"          word_to_idx=data_dict['vocab']['token_to_idx'],\\n\",\"          input_dim=1280, # hard-coded, do not modify\\n\",\"          hidden_dim=512,\\n\",\"          wordvec_dim=256,\\n\",\"          ignore_index=NULL_index,\\n\",\"          **to_float_cuda)\\n\",\"\\n\",\"for learning_rate in [1e-3]:\\n\",\"  print('learning rate is: ', learning_rate)\\n\",\"  lstm_model_submit, lstm_loss_submit = captioning_train(lstm_model, small_image_data, small_caption_data,\\n\",\"                num_epochs=num_epochs, batch_size=batch_size,\\n\",\"                learning_rate=learning_rate)\"],\"execution_count\":28,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"learning rate is:  0.001\\n\",\"(Epoch 0 / 60) loss: 49.3626 time per epoch: 4.0s\\n\",\"(Epoch 1 / 60) loss: 44.0983 time per epoch: 3.9s\\n\",\"(Epoch 2 / 60) loss: 40.0849 time per epoch: 4.0s\\n\",\"(Epoch 3 / 60) loss: 38.1866 time per epoch: 3.9s\\n\",\"(Epoch 4 / 60) loss: 36.5754 time per epoch: 3.9s\\n\",\"(Epoch 5 / 60) loss: 34.9876 time per epoch: 3.9s\\n\",\"(Epoch 6 / 60) loss: 33.5231 time per epoch: 3.9s\\n\",\"(Epoch 7 / 60) loss: 32.1857 time per epoch: 3.9s\\n\",\"(Epoch 8 / 60) loss: 30.9239 time per epoch: 3.9s\\n\",\"(Epoch 9 / 60) loss: 29.7274 time per epoch: 3.9s\\n\",\"(Epoch 10 / 60) loss: 28.6365 time per epoch: 3.9s\\n\",\"(Epoch 11 / 60) loss: 27.5460 time per epoch: 3.9s\\n\",\"(Epoch 12 / 60) loss: 26.4727 time per epoch: 3.9s\\n\",\"(Epoch 13 / 60) loss: 25.6013 time per epoch: 3.9s\\n\",\"(Epoch 14 / 60) loss: 24.5148 time per epoch: 3.9s\\n\",\"(Epoch 15 / 60) loss: 23.4111 time per epoch: 3.9s\\n\",\"(Epoch 16 / 60) loss: 22.4578 time per epoch: 3.9s\\n\",\"(Epoch 17 / 60) loss: 21.8475 time per epoch: 4.0s\\n\",\"(Epoch 18 / 60) loss: 20.7479 time per epoch: 3.9s\\n\",\"(Epoch 19 / 60) loss: 19.8877 time per epoch: 3.9s\\n\",\"(Epoch 20 / 60) loss: 19.1306 time per epoch: 3.9s\\n\",\"(Epoch 21 / 60) loss: 18.3729 time per epoch: 3.9s\\n\",\"(Epoch 22 / 60) loss: 17.7098 time per epoch: 3.9s\\n\",\"(Epoch 23 / 60) loss: 16.6981 time per epoch: 3.9s\\n\",\"(Epoch 24 / 60) loss: 15.7332 time per epoch: 3.9s\\n\",\"(Epoch 25 / 60) loss: 14.9914 time per epoch: 3.9s\\n\",\"(Epoch 26 / 60) loss: 14.2780 time per epoch: 3.9s\\n\",\"(Epoch 27 / 60) loss: 13.6810 time per epoch: 3.9s\\n\",\"(Epoch 28 / 60) loss: 12.9541 time per epoch: 3.9s\\n\",\"(Epoch 29 / 60) loss: 12.0733 time per epoch: 3.9s\\n\",\"(Epoch 30 / 60) loss: 11.7917 time per epoch: 3.9s\\n\",\"(Epoch 31 / 60) loss: 11.2547 time per epoch: 3.9s\\n\",\"(Epoch 32 / 60) loss: 10.1098 time per epoch: 3.9s\\n\",\"(Epoch 33 / 60) loss: 9.7247 time per epoch: 3.9s\\n\",\"(Epoch 34 / 60) loss: 9.4560 time per epoch: 3.9s\\n\",\"(Epoch 35 / 60) loss: 9.4777 time per epoch: 3.9s\\n\",\"(Epoch 36 / 60) loss: 8.2528 time per epoch: 3.9s\\n\",\"(Epoch 37 / 60) loss: 8.0443 time per epoch: 4.0s\\n\",\"(Epoch 38 / 60) loss: 7.3928 time per epoch: 4.0s\\n\",\"(Epoch 39 / 60) loss: 6.9559 time per epoch: 3.9s\\n\",\"(Epoch 40 / 60) loss: 6.6985 time per epoch: 4.0s\\n\",\"(Epoch 41 / 60) loss: 6.1932 time per epoch: 4.0s\\n\",\"(Epoch 42 / 60) loss: 5.8362 time per epoch: 3.9s\\n\",\"(Epoch 43 / 60) loss: 5.6252 time per epoch: 4.0s\\n\",\"(Epoch 44 / 60) loss: 5.2480 time per epoch: 3.9s\\n\",\"(Epoch 45 / 60) loss: 4.8620 time per epoch: 3.9s\\n\",\"(Epoch 46 / 60) loss: 4.9653 time per epoch: 3.9s\\n\",\"(Epoch 47 / 60) loss: 4.8342 time per epoch: 3.9s\\n\",\"(Epoch 48 / 60) loss: 4.5902 time per epoch: 3.9s\\n\",\"(Epoch 49 / 60) loss: 4.1887 time per epoch: 3.9s\\n\",\"(Epoch 50 / 60) loss: 3.8263 time per epoch: 3.9s\\n\",\"(Epoch 51 / 60) loss: 3.6201 time per epoch: 3.9s\\n\",\"(Epoch 52 / 60) loss: 3.4605 time per epoch: 3.9s\\n\",\"(Epoch 53 / 60) loss: 3.3912 time per epoch: 3.9s\\n\",\"(Epoch 54 / 60) loss: 3.0456 time per epoch: 3.9s\\n\",\"(Epoch 55 / 60) loss: 2.5529 time per epoch: 4.0s\\n\",\"(Epoch 56 / 60) loss: 2.5528 time per epoch: 3.9s\\n\",\"(Epoch 57 / 60) loss: 2.5594 time per epoch: 3.9s\\n\",\"(Epoch 58 / 60) loss: 2.0986 time per epoch: 3.9s\\n\",\"(Epoch 59 / 60) loss: 2.1342 time per epoch: 4.0s\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 720x576 with 1 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"wsM2pIYpG3v1\"},\"source\":[\"### Test-time sampling\\n\",\"As with the RNN, the samples on training data should be very good; the samples on validation data will probably make less sense.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"ziQJ7SBnvMNU\",\"colab\":{\"base_uri\":\"https://localhost:8080/\",\"height\":1000},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1617548985720,\"user_tz\":-60,\"elapsed\":226406,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"d075829a-2993-4a79-8003-6103968cddbd\"},\"source\":[\"# Sample a minibatch and show the reshaped 112x112 images,\\n\",\"# GT captions, and generated captions by your model.\\n\",\"batch_size = 3\\n\",\"\\n\",\"for split in ['train', 'val']:\\n\",\"  sample_idx = torch.randint(0, num_train if split=='train' else num_val, (batch_size,))\\n\",\"  sample_images = data_dict[split+'_images'][sample_idx]\\n\",\"  sample_captions = data_dict[split+'_captions'][sample_idx]\\n\",\"\\n\",\"  # decode_captions is loaded from a4_helper.py\\n\",\"  gt_captions = decode_captions(sample_captions, data_dict['vocab']['idx_to_token'])\\n\",\"  lstm_model.eval()\\n\",\"  generated_captions = lstm_model.sample(sample_images)\\n\",\"  generated_captions = decode_captions(generated_captions, data_dict['vocab']['idx_to_token'])\\n\",\"\\n\",\"  for i in range(batch_size):\\n\",\"    plt.imshow(sample_images[i].permute(1, 2, 0))\\n\",\"    plt.axis('off')\\n\",\"    plt.title('%s\\\\nLSTM Generated:%s\\\\nGT:%s' % (split, generated_captions[i], gt_captions[i]))\\n\",\"    plt.show()\"],\"execution_count\":29,\"outputs\":[{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure 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\\n\",\"text/plain\":[\"<Figure 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\\n\",\"text/plain\":[\"<Figure 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\\n\",\"text/plain\":[\"<Figure 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\\n\",\"text/plain\":[\"<Figure 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\\n\",\"text/plain\":[\"<Figure size 720x576 with 1 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"ECcPPE_Pqc8v\"},\"source\":[\"# Attention LSTM\\n\",\"Attention LSTM essentially adds an attention input $x_{attn}^t\\\\in\\\\mathbb{R}^H$ into LSTM, along with $x_t\\\\in\\\\mathbb{R}^D$ and the previous hidden state $h_{t-1}\\\\in\\\\mathbb{R}^H$.\\n\",\"\\n\",\"To get the attention input $x_{attn}^t$, here we adopt a method called `scaled dot-product attention`, as covered in the lecture. We first project the CNN feature activation from $\\\\mathbb{R}^{1280\\\\times4\\\\times4}$ to $\\\\mathbb{R}^{H\\\\times4\\\\times4}$ using an affine layer. Given the projected activation $A\\\\in \\\\mathbb{R}^{H\\\\times4\\\\times4}$ and the LSTM hidden state from the previous time step $h_{t-1}$, we formuate the attention weights on $A$ at time step $t$ as $M_{attn}^t=h_{t-1}A/\\\\sqrt{H} \\\\in \\\\mathbb{R}^{4\\\\times4}$.\\n\",\"\\n\",\"To simplify the formuation here, we flatten the spatial dimensions of $A$ and $M_{attn}^t$ which gives $\\\\tilde{A}\\\\in \\\\mathbb{R}^{H\\\\times16}$ and $\\\\tilde{M^t}_{attn}=h_{t-1}A\\\\in \\\\mathbb{R}^{16}$.\\n\",\"We add a **`softmax`** activation function on $\\\\tilde{M^t}_{attn}$ so that the attention weights at each time step are normalized and sum up to one.\\n\",\"\\n\",\"The attention embedding given the attention weights is then $x_{attn}^t=\\\\tilde{A}\\\\tilde{M^t}_{attn} \\\\in\\\\mathbb{R}^H$.\\n\",\"\\n\",\"You will implement a batch version of the attention layer we have described here.\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"GTDk54Q4ubQ1\"},\"source\":[\"## Scaled dot-product attention\\n\",\"Implement the `dot_product_attention` function. Given the LSTM hidden state from the previous time step `prev_h` (or $h_{t-1}$) and the projected CNN feature activation `A`, compute the attention weights `attn_weights` (or $\\\\tilde{M^t}_{attn}$ with a reshaping to $\\\\mathbb{R}^{4\\\\times4}$) attention embedding output `attn` (or $x_{attn}^t$) using the formulation we provided.\\n\",\"\\n\",\"When you are done, run the following to check your implementation. You should see an error on the order of `1e-7` or less.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"irAslXWfaVGw\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1617548987041,\"user_tz\":-60,\"elapsed\":1298,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"746249ba-5298-4b08-80d7-12f5398cfa0b\"},\"source\":[\"N, H = 2, 5\\n\",\"D_a = 4\\n\",\"\\n\",\"prev_h = torch.linspace(-0.4, 0.6, steps=N*H, **to_double_cuda).reshape(N, H)\\n\",\"A = torch.linspace(-0.4, 1.8, steps=N*H*D_a*D_a, **to_double_cuda).reshape(N, H, D_a, D_a)\\n\",\"\\n\",\"# YOUR_TURN: Impelement dot_product_attention\\n\",\"attn, attn_weights = dot_product_attention(prev_h, A)\\n\",\"\\n\",\"expected_attn = torch.tensor([[-0.29784344, -0.07645979,  0.14492386,  0.36630751,  0.58769115],\\n\",\"        [ 0.81412643,  1.03551008,  1.25689373,  1.47827738,  1.69966103]], **to_double_cuda)\\n\",\"expected_attn_weights = torch.tensor([[[0.06511126, 0.06475411, 0.06439892, 0.06404568],\\n\",\"         [0.06369438, 0.06334500, 0.06299754, 0.06265198],\\n\",\"         [0.06230832, 0.06196655, 0.06162665, 0.06128861],\\n\",\"         [0.06095243, 0.06061809, 0.06028559, 0.05995491]],\\n\",\"\\n\",\"        [[0.05717142, 0.05784357, 0.05852362, 0.05921167],\\n\",\"         [0.05990781, 0.06061213, 0.06132473, 0.06204571],\\n\",\"         [0.06277517, 0.06351320, 0.06425991, 0.06501540],\\n\",\"         [0.06577977, 0.06655312, 0.06733557, 0.06812722]]], **to_double_cuda)\\n\",\"\\n\",\"print('attn error: ', rel_error(expected_attn, attn))\\n\",\"print('attn_weights error: ', rel_error(expected_attn_weights, attn_weights))\"],\"execution_count\":30,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"attn error:  1.4410324402829568e-09\\n\",\"attn_weights error:  3.5290517247691244e-08\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"2VK_Ixn1qlRo\"},\"source\":[\"## Attention LSTM: step forward\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"DVddQlj4xwRk\"},\"source\":[\"Modify the `lstm_step_forward` function from earlier to support the extra attention input `attn` (or $x_{attn}$) and its embedding weight matrix `Wattn` (or $W_{attn}$) in the LSTM cell. Hence, at each timestep the *activation vector* $a\\\\in\\\\mathbb{R}^{4H}$ in LSTM cell is formulated as:\\n\",\"\\n\",\"$a=W_xx_t + W_hh_{t-1}+W_{attn}x_{attn}^t+b$.\\n\",\"\\n\",\"\\n\",\"**This should require adding less than 5 lines of code.**\\n\",\"\\n\",\"Once you are done, run the following to perform a simple test of your implementation. You should see errors on the order of `1e-8` or less.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"oaS31Ncf3l0d\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1617548987042,\"user_tz\":-60,\"elapsed\":1288,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"76e5c2b6-97ec-4d63-bd4f-391cb3557281\"},\"source\":[\"N, D, H = 3, 4, 5\\n\",\"\\n\",\"x = torch.linspace(-0.4, 1.2, steps=N*D, **to_double_cuda).reshape(N, D)\\n\",\"prev_h = torch.linspace(-0.3, 0.7, steps=N*H, **to_double_cuda).reshape(N, H)\\n\",\"prev_c = torch.linspace(-0.4, 0.9, steps=N*H, **to_double_cuda).reshape(N, H)\\n\",\"Wx = torch.linspace(-2.1, 1.3, steps=4*D*H, **to_double_cuda).reshape(D, 4 * H)\\n\",\"Wh = torch.linspace(-0.7, 2.2, steps=4*H*H, **to_double_cuda).reshape(H, 4 * H)\\n\",\"b = torch.linspace(0.3, 0.7, steps=4*H, **to_double_cuda)\\n\",\"attn = torch.linspace(0.6, 1.8, steps=N*H, **to_double_cuda).reshape(N, H)\\n\",\"Wattn = torch.linspace(1.3, 4.2, steps=4*H*H, **to_double_cuda).reshape(H, 4 * H)\\n\",\"\\n\",\"# YOUR_TURN: Impelement lstm_step_forward\\n\",\"next_h, next_c = lstm_step_forward(x, prev_h, prev_c, Wx, Wh, b, attn, Wattn)\\n\",\"\\n\",\"expected_next_h = torch.tensor([\\n\",\"    [0.53704256, 0.59980774, 0.65596820, 0.70569729, 0.74932626],\\n\",\"    [0.78729857, 0.82010653, 0.84828362, 0.87235677, 0.89283167],\\n\",\"    [0.91017981, 0.92483119, 0.93717126, 0.94754073, 0.95623746]], **to_double_cuda)\\n\",\"expected_next_c = torch.tensor([\\n\",\"    [0.59999328, 0.69285041, 0.78570758, 0.87856479, 0.97142202],\\n\",\"    [1.06428558, 1.15714276, 1.24999992, 1.34285708, 1.43571424],\\n\",\"    [1.52857143, 1.62142857, 1.71428571, 1.80714286, 1.90000000]], **to_double_cuda)\\n\",\"\\n\",\"print('next_h error: ', rel_error(expected_next_h, next_h))\\n\",\"print('next_c error: ', rel_error(expected_next_c, next_c))\"],\"execution_count\":31,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"next_h error:  2.425617005126452e-09\\n\",\"next_c error:  1.2938551985068886e-09\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"VS0JHfJ53agv\"},\"source\":[\"## Attention LSTM: forward\\n\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"QRry6hvQ7ywx\"},\"source\":[\"Now, implement the `attention_forward` function to run an Attention LSTM forward on an entire timeseries of data. You will have to use the `dot_product_attention` function and the `lstm_step_forward` function you implemented.\\n\",\"\\n\",\"Again, don't worry about the backward part! `autograd` will handle it.\\n\",\"\\n\",\"When you are done, run the following to check your implementation. You should see an error on the order of `1e-8` or less.\\n\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"aB6VU8nl4SmS\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1617548987043,\"user_tz\":-60,\"elapsed\":1281,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"87bf9f4c-e866-49cd-e901-6691d89b939a\"},\"source\":[\"N, D, H, T = 2, 5, 4, 3\\n\",\"D_a = 4\\n\",\"\\n\",\"x = torch.linspace(-0.4, 0.6, steps=N*T*D, **to_double_cuda).reshape(N, T, D)\\n\",\"A = torch.linspace(-0.4, 1.8, steps=N*H*D_a*D_a, **to_double_cuda).reshape(N, H, D_a, D_a)\\n\",\"Wx = torch.linspace(-0.2, 0.9, steps=4*D*H, **to_double_cuda).reshape(D, 4 * H)\\n\",\"Wh = torch.linspace(-0.3, 0.6, steps=4*H*H, **to_double_cuda).reshape(H, 4 * H)\\n\",\"Wattn = torch.linspace(1.3, 4.2, steps=4*H*H, **to_double_cuda).reshape(H, 4 * H)\\n\",\"b = torch.linspace(0.2, 0.7, steps=4*H, **to_double_cuda)\\n\",\"\\n\",\"# YOUR_TURN: Impelement attention_forward\\n\",\"h = attention_forward(x, A, Wx, Wh, Wattn, b)\\n\",\"\\n\",\"expected_h = torch.tensor([\\n\",\"        [[0.56141729, 0.70274849, 0.80000386, 0.86349400],\\n\",\"         [0.89556391, 0.92856726, 0.94950579, 0.96281018],\\n\",\"         [0.96792077, 0.97535465, 0.98039623, 0.98392994]],\\n\",\"\\n\",\"        [[0.95065880, 0.97135490, 0.98344373, 0.99045552],\\n\",\"         [0.99317679, 0.99607466, 0.99774317, 0.99870293],\\n\",\"         [0.99907382, 0.99946784, 0.99969426, 0.99982435]]], **to_double_cuda)\\n\",\"\\n\",\"print('h error: ', rel_error(expected_h, h))\"],\"execution_count\":32,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"h error:  1.4651850369439352e-08\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"jGdYDBjDqofZ\"},\"source\":[\"## Attention LSTM Module\\n\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"9VzpyHuX6Jzc\"},\"source\":[\"## Attention LSTM captioning model\\n\",\"\\n\",\"We can now wrap the Attention LSTM functions we wrote into an nn.Module. You can look at the `AttentionLSTM` class for detailed implementation.\\n\",\"\\n\",\"Now that you have implemented an attention module, update the implementation of `CaptioningRNN.__init__` and `CaptioningRNN.forward` method to also handle the case where `self.cell_type` is `attention`. **This should require adding less than 10 lines of code.**\\n\",\"\\n\",\"Once you have done so, run the following to check your implementation. You should see a difference on the order of `1e-7` or less.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"7VqGqDYw6Jzd\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1617548988613,\"user_tz\":-60,\"elapsed\":2842,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"10c96c17-4d5d-49a8-9cd3-ead505685ed6\"},\"source\":[\"reset_seed(0)\\n\",\"\\n\",\"N, D, W, H = 10, 1280, 30, 40\\n\",\"D_img = 112\\n\",\"word_to_idx = {'<NULL>': 0, 'cat': 2, 'dog': 3}\\n\",\"V = len(word_to_idx)\\n\",\"T = 13\\n\",\"\\n\",\"# YOUR_TURN: Modify CaptioningRNN for attention\\n\",\"model = CaptioningRNN(word_to_idx,\\n\",\"          input_dim=D,\\n\",\"          wordvec_dim=W,\\n\",\"          hidden_dim=H,\\n\",\"          cell_type='attention',\\n\",\"          ignore_index=NULL_index,\\n\",\"          **to_float_cuda)\\n\",\"\\n\",\"for k,v in model.named_parameters():\\n\",\"  # print(k, v.shape) # uncomment this to see the weight shape\\n\",\"  v.data.copy_(torch.linspace(-1.4, 1.3, steps=v.numel()).reshape(*v.shape))\\n\",\"\\n\",\"images = torch.linspace(-3., 3., steps=(N * 3 * D_img * D_img),\\n\",\"                       **to_float_cuda).reshape(N, 3, D_img, D_img)\\n\",\"captions = (torch.arange(N * T, **to_long_cuda) % V).reshape(N, T)\\n\",\"\\n\",\"loss = model(images, captions).item()\\n\",\"expected_loss = 46.9113769531\\n\",\"\\n\",\"print('loss: ', loss)\\n\",\"print('expected loss: ', expected_loss)\\n\",\"print('difference: ', rel_error(torch.tensor(loss), torch.tensor(expected_loss)))\"],\"execution_count\":33,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"loss:  46.9113883972168\\n\",\"expected loss:  46.9113769531\\n\",\"difference:  1.2197563447252612e-07\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"eYxXTAn4q0wV\"},\"source\":[\"## Overfit small data\\n\",\"We have written this part for you. Run the following to overfit an Attention LSTM captioning model on the same small dataset as we used for the RNN previously. You should see a final loss less than `9`.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"tlK7lKUgWeDS\",\"colab\":{\"base_uri\":\"https://localhost:8080/\",\"height\":1000},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1617548992513,\"user_tz\":-60,\"elapsed\":6735,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"e94f11f6-a321-46b8-93f7-6f7ed339c586\"},\"source\":[\"reset_seed(0)\\n\",\"\\n\",\"# data input\\n\",\"small_num_train = 50\\n\",\"sample_idx = torch.linspace(0, num_train-1, steps=small_num_train, **to_float_cuda).long()\\n\",\"small_image_data = data_dict['train_images'][sample_idx].to('cuda')\\n\",\"small_caption_data = data_dict['train_captions'][sample_idx].to('cuda')\\n\",\"\\n\",\"# optimization arguments\\n\",\"num_epochs = 80\\n\",\"batch_size = 50\\n\",\"\\n\",\"# create the image captioning model\\n\",\"model = CaptioningRNN(\\n\",\"          cell_type='attention',\\n\",\"          word_to_idx=data_dict['vocab']['token_to_idx'],\\n\",\"          input_dim=1280, # hard-coded, do not modify\\n\",\"          hidden_dim=512,\\n\",\"          wordvec_dim=256,\\n\",\"          ignore_index=NULL_index,\\n\",\"          **to_float_cuda)\\n\",\"\\n\",\"for learning_rate in [1e-3]:\\n\",\"  print('learning rate is: ', learning_rate)\\n\",\"  attn_overfit, _ = captioning_train(model, small_image_data, small_caption_data,\\n\",\"                num_epochs=num_epochs, batch_size=batch_size,\\n\",\"                learning_rate=learning_rate)\"],\"execution_count\":34,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"learning rate is:  0.001\\n\",\"(Epoch 0 / 80) loss: 75.1227 time per epoch: 0.0s\\n\",\"(Epoch 1 / 80) loss: 69.6225 time per epoch: 0.0s\\n\",\"(Epoch 2 / 80) loss: 62.9830 time per epoch: 0.0s\\n\",\"(Epoch 3 / 80) loss: 56.6100 time per epoch: 0.0s\\n\",\"(Epoch 4 / 80) loss: 51.8778 time per epoch: 0.0s\\n\",\"(Epoch 5 / 80) loss: 48.9481 time per epoch: 0.0s\\n\",\"(Epoch 6 / 80) loss: 46.7493 time per epoch: 0.0s\\n\",\"(Epoch 7 / 80) loss: 45.0384 time per epoch: 0.0s\\n\",\"(Epoch 8 / 80) loss: 43.8249 time per epoch: 0.0s\\n\",\"(Epoch 9 / 80) loss: 42.8107 time per epoch: 0.0s\\n\",\"(Epoch 10 / 80) loss: 41.8414 time per epoch: 0.0s\\n\",\"(Epoch 11 / 80) loss: 40.6909 time per epoch: 0.0s\\n\",\"(Epoch 12 / 80) loss: 39.7700 time per epoch: 0.0s\\n\",\"(Epoch 13 / 80) loss: 38.8995 time per epoch: 0.0s\\n\",\"(Epoch 14 / 80) loss: 38.0081 time per epoch: 0.0s\\n\",\"(Epoch 15 / 80) loss: 37.0663 time per epoch: 0.0s\\n\",\"(Epoch 16 / 80) loss: 36.3027 time per epoch: 0.0s\\n\",\"(Epoch 17 / 80) loss: 35.4038 time per epoch: 0.0s\\n\",\"(Epoch 18 / 80) loss: 34.5418 time per epoch: 0.0s\\n\",\"(Epoch 19 / 80) loss: 33.6883 time per epoch: 0.0s\\n\",\"(Epoch 20 / 80) loss: 32.7832 time per epoch: 0.0s\\n\",\"(Epoch 21 / 80) loss: 31.8706 time per epoch: 0.0s\\n\",\"(Epoch 22 / 80) loss: 31.0386 time per epoch: 0.0s\\n\",\"(Epoch 23 / 80) loss: 30.1985 time per epoch: 0.0s\\n\",\"(Epoch 24 / 80) loss: 29.4596 time per epoch: 0.0s\\n\",\"(Epoch 25 / 80) loss: 28.7142 time per epoch: 0.0s\\n\",\"(Epoch 26 / 80) loss: 27.7917 time per epoch: 0.0s\\n\",\"(Epoch 27 / 80) loss: 26.9314 time per epoch: 0.0s\\n\",\"(Epoch 28 / 80) loss: 26.2136 time per epoch: 0.0s\\n\",\"(Epoch 29 / 80) loss: 25.4402 time per epoch: 0.0s\\n\",\"(Epoch 30 / 80) loss: 24.7584 time per epoch: 0.0s\\n\",\"(Epoch 31 / 80) loss: 24.1082 time per epoch: 0.0s\\n\",\"(Epoch 32 / 80) loss: 23.3956 time per epoch: 0.0s\\n\",\"(Epoch 33 / 80) loss: 22.7404 time per epoch: 0.0s\\n\",\"(Epoch 34 / 80) loss: 22.1095 time per epoch: 0.0s\\n\",\"(Epoch 35 / 80) loss: 21.5331 time per epoch: 0.0s\\n\",\"(Epoch 36 / 80) loss: 20.9355 time per epoch: 0.0s\\n\",\"(Epoch 37 / 80) loss: 20.3795 time per epoch: 0.0s\\n\",\"(Epoch 38 / 80) loss: 19.8657 time per epoch: 0.0s\\n\",\"(Epoch 39 / 80) loss: 19.3747 time per epoch: 0.0s\\n\",\"(Epoch 40 / 80) loss: 18.9053 time per epoch: 0.0s\\n\",\"(Epoch 41 / 80) loss: 18.4406 time per epoch: 0.0s\\n\",\"(Epoch 42 / 80) loss: 18.0219 time per epoch: 0.0s\\n\",\"(Epoch 43 / 80) loss: 17.6337 time per epoch: 0.0s\\n\",\"(Epoch 44 / 80) loss: 17.2229 time per epoch: 0.0s\\n\",\"(Epoch 45 / 80) loss: 16.8985 time per epoch: 0.0s\\n\",\"(Epoch 46 / 80) loss: 16.5663 time per epoch: 0.0s\\n\",\"(Epoch 47 / 80) loss: 16.3127 time per epoch: 0.0s\\n\",\"(Epoch 48 / 80) loss: 15.9648 time per epoch: 0.0s\\n\",\"(Epoch 49 / 80) loss: 15.6612 time per epoch: 0.0s\\n\",\"(Epoch 50 / 80) loss: 15.3196 time per epoch: 0.0s\\n\",\"(Epoch 51 / 80) loss: 15.0506 time per epoch: 0.0s\\n\",\"(Epoch 52 / 80) loss: 14.7798 time per epoch: 0.0s\\n\",\"(Epoch 53 / 80) loss: 14.5278 time per epoch: 0.0s\\n\",\"(Epoch 54 / 80) loss: 14.2729 time per epoch: 0.0s\\n\",\"(Epoch 55 / 80) loss: 14.0265 time per epoch: 0.0s\\n\",\"(Epoch 56 / 80) loss: 13.7666 time per epoch: 0.0s\\n\",\"(Epoch 57 / 80) loss: 13.5182 time per epoch: 0.0s\\n\",\"(Epoch 58 / 80) loss: 13.3013 time per epoch: 0.0s\\n\",\"(Epoch 59 / 80) loss: 13.1065 time per epoch: 0.0s\\n\",\"(Epoch 60 / 80) loss: 13.0586 time per epoch: 0.0s\\n\",\"(Epoch 61 / 80) loss: 13.0833 time per epoch: 0.0s\\n\",\"(Epoch 62 / 80) loss: 12.6794 time per epoch: 0.0s\\n\",\"(Epoch 63 / 80) loss: 12.2933 time per epoch: 0.0s\\n\",\"(Epoch 64 / 80) loss: 12.2900 time per epoch: 0.0s\\n\",\"(Epoch 65 / 80) loss: 12.1180 time per epoch: 0.0s\\n\",\"(Epoch 66 / 80) loss: 11.7530 time per epoch: 0.0s\\n\",\"(Epoch 67 / 80) loss: 11.4983 time per epoch: 0.0s\\n\",\"(Epoch 68 / 80) loss: 11.3275 time per epoch: 0.0s\\n\",\"(Epoch 69 / 80) loss: 11.1249 time per epoch: 0.0s\\n\",\"(Epoch 70 / 80) loss: 10.9303 time per epoch: 0.0s\\n\",\"(Epoch 71 / 80) loss: 10.7335 time per epoch: 0.0s\\n\",\"(Epoch 72 / 80) loss: 10.5031 time per epoch: 0.0s\\n\",\"(Epoch 73 / 80) loss: 10.3054 time per epoch: 0.0s\\n\",\"(Epoch 74 / 80) loss: 10.1095 time per epoch: 0.0s\\n\",\"(Epoch 75 / 80) loss: 9.9436 time per epoch: 0.0s\\n\",\"(Epoch 76 / 80) loss: 9.8294 time per epoch: 0.0s\\n\",\"(Epoch 77 / 80) loss: 9.7807 time per epoch: 0.0s\\n\",\"(Epoch 78 / 80) loss: 9.7496 time per epoch: 0.0s\\n\",\"(Epoch 79 / 80) loss: 9.4341 time per epoch: 0.0s\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 720x576 with 1 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"ircMb7_qq7vB\"},\"source\":[\"## Caption sampling\\n\",\"Modify the `CaptioningRNN.sample` method to handle the case where `self.cell_type` is `attention`. **This should take fewer than 10 lines of code.**\\n\",\"\\n\",\"When you are done run the following to train a captioning model and sample from the model on some training and validation set samples.\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"t--pa33Sq4SW\"},\"source\":[\"### Train the net\\n\",\"Now, perform the training on the entire training set. You should see a final loss less than `1.0`. Each epoch should take ~8s to run.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"ScBvAfcXdVv4\",\"colab\":{\"base_uri\":\"https://localhost:8080/\",\"height\":1000},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1617549264981,\"user_tz\":-60,\"elapsed\":279195,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"01961d6f-89bd-43c4-e13d-cb4853cb5bc8\"},\"source\":[\"reset_seed(0)\\n\",\"\\n\",\"# data input\\n\",\"small_num_train = num_train\\n\",\"sample_idx = torch.randint(num_train, size=(small_num_train,), **to_long_cuda)\\n\",\"small_image_data = data_dict['train_images'][sample_idx].to('cuda')\\n\",\"small_caption_data = data_dict['train_captions'][sample_idx].to('cuda')\\n\",\"\\n\",\"# optimization arguments\\n\",\"num_epochs = 60\\n\",\"batch_size = 250\\n\",\"\\n\",\"# create the image captioning model\\n\",\"attn_model = CaptioningRNN(\\n\",\"          cell_type='attention',\\n\",\"          word_to_idx=data_dict['vocab']['token_to_idx'],\\n\",\"          input_dim=1280, # hard-coded, do not modify\\n\",\"          hidden_dim=512,\\n\",\"          wordvec_dim=256,\\n\",\"          ignore_index=NULL_index,\\n\",\"          **to_float_cuda)\\n\",\"\\n\",\"for learning_rate in [1e-3]:\\n\",\"  print('learning rate is: ', learning_rate)\\n\",\"  attn_model_submit, attn_loss_submit = captioning_train(attn_model, small_image_data, small_caption_data,\\n\",\"                num_epochs=num_epochs, batch_size=batch_size,\\n\",\"                learning_rate=learning_rate)\"],\"execution_count\":35,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"learning rate is:  0.001\\n\",\"(Epoch 0 / 60) loss: 50.5009 time per epoch: 4.6s\\n\",\"(Epoch 1 / 60) loss: 48.7891 time per epoch: 4.6s\\n\",\"(Epoch 2 / 60) loss: 46.9405 time per epoch: 4.6s\\n\",\"(Epoch 3 / 60) loss: 44.0731 time per epoch: 4.6s\\n\",\"(Epoch 4 / 60) loss: 41.2939 time per epoch: 4.5s\\n\",\"(Epoch 5 / 60) loss: 38.8938 time per epoch: 4.5s\\n\",\"(Epoch 6 / 60) loss: 36.8633 time per epoch: 4.6s\\n\",\"(Epoch 7 / 60) loss: 35.1893 time per epoch: 4.6s\\n\",\"(Epoch 8 / 60) loss: 33.6123 time per epoch: 4.5s\\n\",\"(Epoch 9 / 60) loss: 32.1467 time per epoch: 4.5s\\n\",\"(Epoch 10 / 60) loss: 30.6923 time per epoch: 4.6s\\n\",\"(Epoch 11 / 60) loss: 29.1322 time per epoch: 4.5s\\n\",\"(Epoch 12 / 60) loss: 27.5936 time per epoch: 4.5s\\n\",\"(Epoch 13 / 60) loss: 26.1930 time per epoch: 4.5s\\n\",\"(Epoch 14 / 60) loss: 25.0108 time per epoch: 4.5s\\n\",\"(Epoch 15 / 60) loss: 23.2968 time per epoch: 4.6s\\n\",\"(Epoch 16 / 60) loss: 21.9267 time per epoch: 4.5s\\n\",\"(Epoch 17 / 60) loss: 20.5374 time per epoch: 4.5s\\n\",\"(Epoch 18 / 60) loss: 19.1983 time per epoch: 4.6s\\n\",\"(Epoch 19 / 60) loss: 17.8801 time per epoch: 4.5s\\n\",\"(Epoch 20 / 60) loss: 16.5903 time per epoch: 4.6s\\n\",\"(Epoch 21 / 60) loss: 15.5653 time per epoch: 4.5s\\n\",\"(Epoch 22 / 60) loss: 14.5748 time per epoch: 4.6s\\n\",\"(Epoch 23 / 60) loss: 13.3850 time per epoch: 4.5s\\n\",\"(Epoch 24 / 60) loss: 12.5162 time per epoch: 4.5s\\n\",\"(Epoch 25 / 60) loss: 11.4639 time per epoch: 4.6s\\n\",\"(Epoch 26 / 60) loss: 10.9052 time per epoch: 4.5s\\n\",\"(Epoch 27 / 60) loss: 9.8808 time per epoch: 4.6s\\n\",\"(Epoch 28 / 60) loss: 9.4970 time per epoch: 4.5s\\n\",\"(Epoch 29 / 60) loss: 8.5208 time per epoch: 4.5s\\n\",\"(Epoch 30 / 60) loss: 7.8641 time per epoch: 4.5s\\n\",\"(Epoch 31 / 60) loss: 7.6435 time per epoch: 4.6s\\n\",\"(Epoch 32 / 60) loss: 6.8003 time per epoch: 4.5s\\n\",\"(Epoch 33 / 60) loss: 6.4583 time per epoch: 4.6s\\n\",\"(Epoch 34 / 60) loss: 5.9236 time per epoch: 4.5s\\n\",\"(Epoch 35 / 60) loss: 5.6261 time per epoch: 4.6s\\n\",\"(Epoch 36 / 60) loss: 5.2764 time per epoch: 4.6s\\n\",\"(Epoch 37 / 60) loss: 4.6030 time per epoch: 4.6s\\n\",\"(Epoch 38 / 60) loss: 4.1269 time per epoch: 4.5s\\n\",\"(Epoch 39 / 60) loss: 3.7723 time per epoch: 4.5s\\n\",\"(Epoch 40 / 60) loss: 3.4889 time per epoch: 4.6s\\n\",\"(Epoch 41 / 60) loss: 3.3772 time per epoch: 4.5s\\n\",\"(Epoch 42 / 60) loss: 3.0275 time per epoch: 4.5s\\n\",\"(Epoch 43 / 60) loss: 2.9085 time per epoch: 4.6s\\n\",\"(Epoch 44 / 60) loss: 2.4800 time per epoch: 4.5s\\n\",\"(Epoch 45 / 60) loss: 2.3957 time per epoch: 4.6s\\n\",\"(Epoch 46 / 60) loss: 2.4343 time per epoch: 4.6s\\n\",\"(Epoch 47 / 60) loss: 2.1175 time per epoch: 4.6s\\n\",\"(Epoch 48 / 60) loss: 1.8254 time per epoch: 4.5s\\n\",\"(Epoch 49 / 60) loss: 1.7005 time per epoch: 4.6s\\n\",\"(Epoch 50 / 60) loss: 1.6114 time per epoch: 4.6s\\n\",\"(Epoch 51 / 60) loss: 1.5463 time per epoch: 4.6s\\n\",\"(Epoch 52 / 60) loss: 1.3505 time per epoch: 4.6s\\n\",\"(Epoch 53 / 60) loss: 1.3503 time per epoch: 4.6s\\n\",\"(Epoch 54 / 60) loss: 1.3287 time per epoch: 4.6s\\n\",\"(Epoch 55 / 60) loss: 1.0105 time per epoch: 4.5s\\n\",\"(Epoch 56 / 60) loss: 0.8926 time per epoch: 4.5s\\n\",\"(Epoch 57 / 60) loss: 0.9002 time per epoch: 4.5s\\n\",\"(Epoch 58 / 60) loss: 0.8181 time per epoch: 4.6s\\n\",\"(Epoch 59 / 60) loss: 0.7143 time per epoch: 4.6s\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 720x576 with 1 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"5ham_O1TG_z7\"},\"source\":[\"### Test-time sampling and visualization\\n\",\"As with RNN and LSTM, the samples on training data should be very good; the samples on validation data will probably make less sense.\\n\",\"\\n\",\"We use the `attention_visualizer` function from `eecs598/utils.py` to visualize the attended regions per generated word. Note that sometimes the attended regions (brighter) might not make much sense particially due to our low resolution image input. In real applications, the attended regions are more accurate.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"0i8KNWSDSLNu\",\"colab\":{\"base_uri\":\"https://localhost:8080/\",\"height\":1000},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1617549269121,\"user_tz\":-60,\"elapsed\":283327,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"0b11b10a-4da9-4da0-ce50-a13605c28816\"},\"source\":[\"# Sample a minibatch and show the reshaped 112x112 images,\\n\",\"# GT captions, and generated captions by your model.\\n\",\"\\n\",\"batch_size = 3\\n\",\"from torchvision.utils import make_grid\\n\",\"from torchvision import transforms\\n\",\"\\n\",\"for split in ['train', 'val']:\\n\",\"  sample_idx = torch.randint(0, num_train if split=='train' else num_val, (batch_size,))\\n\",\"  sample_images = data_dict[split+'_images'][sample_idx]\\n\",\"  sample_captions = data_dict[split+'_captions'][sample_idx]\\n\",\"\\n\",\"  # decode_captions is loaded from a4_helper.py\\n\",\"  gt_captions = decode_captions(sample_captions, data_dict['vocab']['idx_to_token'])\\n\",\"  attn_model.eval()\\n\",\"  generated_captions, attn_weights_all = attn_model.sample(sample_images)\\n\",\"  generated_captions = decode_captions(generated_captions, data_dict['vocab']['idx_to_token'])\\n\",\"\\n\",\"  for i in range(batch_size):\\n\",\"    plt.imshow(sample_images[i].permute(1, 2, 0))\\n\",\"    plt.axis('off')\\n\",\"    plt.title('%s\\\\nAttention LSTM Generated:%s\\\\nGT:%s' % (split, generated_captions[i], gt_captions[i]))\\n\",\"    plt.show()\\n\",\"    \\n\",\"    tokens = generated_captions[i].split(' ')\\n\",\"    \\n\",\"    vis_attn = []\\n\",\"    for j in range(len(tokens)):\\n\",\"      img = sample_images[i]\\n\",\"      attn_weights = attn_weights_all[i][j]\\n\",\"      token = tokens[j]\\n\",\"      img_copy = attention_visualizer(img, attn_weights, token)\\n\",\"      vis_attn.append(transforms.ToTensor()(img_copy))\\n\",\"    \\n\",\"    plt.rcParams['figure.figsize'] = (20.0, 20.0)\\n\",\"    vis_attn = make_grid(vis_attn, nrow=8)\\n\",\"    plt.imshow(torch.flip(vis_attn, dims=(0,)).permute(1, 2, 0))\\n\",\"    plt.axis('off')\\n\",\"    plt.show()\\n\",\"    plt.rcParams['figure.figsize'] = (10.0, 8.0)\"],\"execution_count\":36,\"outputs\":[{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 720x576 with 1 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\\n\"],\"name\":\"stderr\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 1440x1440 with 1 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\\n\",\"text/plain\":[\"<Figure size 720x576 with 1 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\\n\"],\"name\":\"stderr\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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size 1440x1440 with 1 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\\n\",\"text/plain\":[\"<Figure size 720x576 with 1 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\\n\"],\"name\":\"stderr\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 1440x1440 with 1 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\\n\",\"text/plain\":[\"<Figure size 720x576 with 1 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\\n\"],\"name\":\"stderr\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 1440x1440 with 1 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\\n\",\"text/plain\":[\"<Figure size 720x576 with 1 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\\n\"],\"name\":\"stderr\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 1440x1440 with 1 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\\n\",\"text/plain\":[\"<Figure size 720x576 with 1 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\\n\"],\"name\":\"stderr\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 1440x1440 with 1 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"ghB8BwfUpmI5\"},\"source\":[\"# Final checks\\n\",\"Make sure you run \\\"Runtime -> Restart and run all...\\\" to double check the RNN/LSTM code is still functioning well after all the changes you have made!\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"lgwer0NRQ07Y\"},\"source\":[\"# Save results\\n\",\"\\n\",\"Once all the cells are completed, save the final losses for submission.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"-_21vKQeRMpC\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1617549269124,\"user_tz\":-60,\"elapsed\":283322,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}}},\"source\":[\"submission = {\\n\",\"    'rnn_losses': rnn_loss_submit,\\n\",\"    'lstm_losses':  lstm_loss_submit,\\n\",\"    'attn_losses': attn_loss_submit\\n\",\"}\\n\",\"submission_path = os.path.join(GOOGLE_DRIVE_PATH, 'rnn_lstm_attention_submission.pkl')\\n\",\"dump_results(submission, submission_path)\"],\"execution_count\":37,\"outputs\":[]}]}"
  },
  {
    "path": "eecs498-007/A4/rnn_lstm_attention_captioning.py",
    "content": "\"\"\"\nImplements rnn lstm attention captioning in PyTorch.\nWARNING: you SHOULD NOT use \".to()\" or \".cuda()\" in each implementation block.\n\"\"\"\n\nimport torch\nimport math\nimport torch.nn as nn\nfrom a4_helper import *\nfrom torch.nn.parameter import Parameter \n\ndef hello():\n  \"\"\"\n  This is a sample function that we will try to import and run to ensure that\n  our environment is correctly set up on Google Colab.\n  \"\"\"\n  print('Hello from rnn_lstm_attention_captioning.py!')\n\nclass FeatureExtractor(object):\n  \"\"\"\n  Image feature extraction with MobileNet.\n  \"\"\"\n  def __init__(self, pooling=False, verbose=False,\n               device='cpu', dtype=torch.float32):\n\n    from torchvision import transforms, models\n    from torchsummary import summary\n    self.preprocess = transforms.Compose([\n        transforms.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225]),\n    ])\n    self.device, self.dtype = device, dtype\n    self.mobilenet = models.mobilenet_v2(pretrained=True).to(device)\n    self.mobilenet = nn.Sequential(*list(self.mobilenet.children())[:-1]) # Remove the last classifier\n    \n    # average pooling\n    if pooling:\n      self.mobilenet.add_module('LastAvgPool', nn.AvgPool2d(4, 4)) # input: N x 1280 x 4 x 4\n    \n    self.mobilenet.eval()\n    if verbose:\n      summary(self.mobilenet, (3, 112, 112))\n  \n  def extract_mobilenet_feature(self, img, verbose=False):\n    \"\"\"\n    Inputs:\n    - img: Batch of resized images, of shape N x 3 x 112 x 112\n\n    Outputs:\n    - feat: Image feature, of shape N x 1280 (pooled) or N x 1280 x 4 x 4\n    \"\"\"\n    num_img = img.shape[0]\n    \n    img_prepro = []\n    for i in range(num_img):\n      img_prepro.append(self.preprocess(img[i].type(self.dtype).div(255.)))\n    img_prepro = torch.stack(img_prepro).to(self.device)\n    \n    with torch.no_grad():\n      feat = []\n      process_batch = 500\n      for b in range(math.ceil(num_img/process_batch)):\n        feat.append(self.mobilenet(img_prepro[b*process_batch:(b+1)*process_batch]\n                                ).squeeze(-1).squeeze(-1)) # forward and squeeze\n      feat = torch.cat(feat)\n      \n      # add l2 normalization\n      F.normalize(feat, p=2, dim=1)\n    \n    if verbose:\n      print('Output feature shape: ', feat.shape)\n    \n    return feat\n\n\n##############################################################################\n# Recurrent Neural Network                                                   #\n##############################################################################\ndef rnn_step_forward(x, prev_h, Wx, Wh, b):\n    \"\"\"\n    Run the forward pass for a single timestep of a vanilla RNN that uses a tanh\n    activation function.\n\n    The input data has dimension D, the hidden state has dimension H, and we use\n    a minibatch size of N.\n\n    Inputs:\n    - x: Input data for this timestep, of shape (N, D).\n    - prev_h: Hidden state from previous timestep, of shape (N, H)\n    - Wx: Weight matrix for input-to-hidden connections, of shape (D, H)\n    - Wh: Weight matrix for hidden-to-hidden connections, of shape (H, H)\n    - b: Biases, of shape (H,)\n\n    Returns a tuple of:\n    - next_h: Next hidden state, of shape (N, H)\n    - cache: Tuple of values needed for the backward pass.\n    \"\"\"\n    next_h, cache = None, None\n    ##############################################################################\n    # TODO: Implement a single forward step for the vanilla RNN. Store the next  #\n    # hidden state and any values you need for the backward pass in the next_h   #\n    # and cache variables respectively.                                          #\n    # Hint: You can use torch.tanh()                                             #\n    ##############################################################################\n    # Replace \"pass\" statement with your code\n\n    # Compute the input dot product (inprod), output shape is (N, H).\n    inprod = x @ Wx\n    # Compute the hidden dot product (hprod), output shape is (N, H).\n    hprod = prev_h @ Wh\n    # Compute the pre-activation (preact) sum.\n    preact = inprod + hprod + b\n    # Apply the RNN formula (with \"tanh\" activation function).\n    next_h = torch.tanh(preact)\n    # Store the needed cache variables for the backward pass.\n    cache = (x, Wx, prev_h, Wh, b, preact)\n\n    ##############################################################################\n    #                               END OF YOUR CODE                             #\n    ##############################################################################\n    return next_h, cache\n\n\ndef rnn_step_backward(dnext_h, cache):\n    \"\"\"\n    Backward pass for a single timestep of a vanilla RNN.\n\n    Inputs:\n    - dnext_h: Gradient of loss with respect to next hidden state, of shape (N, H)\n    - cache: Cache object from the forward pass\n\n    Returns a tuple of:\n    - dx: Gradients of input data, of shape (N, D)\n    - dprev_h: Gradients of previous hidden state, of shape (N, H)\n    - dWx: Gradients of input-to-hidden weights, of shape (D, H)\n    - dWh: Gradients of hidden-to-hidden weights, of shape (H, H)\n    - db: Gradients of bias vector, of shape (H,)\n    \"\"\"\n    dx, dprev_h, dWx, dWh, db = None, None, None, None, None\n    ##############################################################################\n    # TODO: Implement the backward pass for a single step of a vanilla RNN.      #\n    #                                                                            #\n    # HINT: For the tanh function, you can compute the local derivative in terms #\n    # of the output value from tanh.                                             #\n    ##############################################################################\n    # Replace \"pass\" statement with your code\n\n    # Unpack cached variables (from the forward pass).\n    x, Wx, prev_h, Wh, b, preact = cache\n\n    # Compute the gradiant from: next_h = np.tanh(preact)\n    # \"tanh\" derivate is: 1 - tanh^2\n    d_preact = (1 - torch.tanh(preact)**2) * dnext_h\n\n    # Compute \"db\" from: preact = ... + b\n    # Apply \"sum\" function to match the initial \"b\" shape.\n    db = d_preact.sum(axis=0)\n\n    # Compute \"dWh\" and \"dprev_h\" from: hprod = prev_h @ Wh\n    # \"Transpose\" operation applied to match the initial shape.\n    dWh = prev_h.T @ d_preact\n    dprev_h = d_preact @ Wh.T\n\n    #Compute \"dWx\" and \"dx\" from: inprod = x @ Wx\n    dWx = x.T @ d_preact\n    dx = d_preact @ Wx.T\n\n    ##############################################################################\n    #                               END OF YOUR CODE                             #\n    ##############################################################################\n    return dx, dprev_h, dWx, dWh, db\n\n\ndef rnn_forward(x, h0, Wx, Wh, b):\n    \"\"\"\n    Run a vanilla RNN forward on an entire sequence of data. We assume an input\n    sequence composed of T vectors, each of dimension D. The RNN uses a hidden\n    size of H, and we work over a minibatch containing N sequences. After running\n    the RNN forward, we return the hidden states for all timesteps.\n\n    Inputs:\n    - x: Input data for the entire timeseries, of shape (N, T, D).\n    - h0: Initial hidden state, of shape (N, H)\n    - Wx: Weight matrix for input-to-hidden connections, of shape (D, H)\n    - Wh: Weight matrix for hidden-to-hidden connections, of shape (H, H)\n    - b: Biases, of shape (H,)\n\n    Returns a tuple of:\n    - h: Hidden states for the entire timeseries, of shape (N, T, H).\n    - cache: Values needed in the backward pass\n    \"\"\"\n    h, cache = None, None\n    ##############################################################################\n    # TODO: Implement forward pass for a vanilla RNN running on a sequence of    #\n    # input data. You should use the rnn_step_forward function that you defined  #\n    # above. You can use a for loop to help compute the forward pass.            #\n    ##############################################################################\n    # Replace \"pass\" statement with your code\n\n    # Get dimension values from \"x\" and \"h0\"\n    N, T, D = x.shape\n    H = h0.shape[1]\n\n    # Initialize the hidden states array for the entire timeseries.\n    h = torch.zeros((N, T, H), dtype=x.dtype, device=x.device.type)\n    # Initialize the cache. It will contain the cache for all timeseries.\n    cache = []\n    # Initialize the previous hidden state (prev_h) with the initial one.\n    prev_h = h0\n\n    # Loop over timeseries. Current timeserie is \"ts\" (integer).\n    for ts in range(T):\n      # Get the minibatch for current \"ts\".\n      ts_x = x[:, ts, :]\n      # Apply the forward step.\n      ts_h, ts_cache = rnn_step_forward(ts_x, prev_h, Wx, Wh, b)\n      # Current timeserie hidden state (ts_h) will be 'previous' in the next \"ts\".\n      prev_h = ts_h\n      # Add \"ts_h\" to the hidden states array.\n      h[:, ts, :] = ts_h\n      # Add the current timestep cache (ts_cache) to the global cache array.\n      cache.append(ts_cache)\n\n    ##############################################################################\n    #                               END OF YOUR CODE                             #\n    ##############################################################################\n    return h, cache\n\n\ndef rnn_backward(dh, cache):\n    \"\"\"\n    Compute the backward pass for a vanilla RNN over an entire sequence of data.\n\n    Inputs:\n    - dh: Upstream gradients of all hidden states, of shape (N, T, H). \n    \n    NOTE: 'dh' contains the upstream gradients produced by the \n    individual loss functions at each timestep, *not* the gradients\n    being passed between timesteps (which you'll have to compute yourself\n    by calling rnn_step_backward in a loop).\n\n    Returns a tuple of:\n    - dx: Gradient of inputs, of shape (N, T, D)\n    - dh0: Gradient of initial hidden state, of shape (N, H)\n    - dWx: Gradient of input-to-hidden weights, of shape (D, H)\n    - dWh: Gradient of hidden-to-hidden weights, of shape (H, H)\n    - db: Gradient of biases, of shape (H,)\n    \"\"\"\n    dx, dh0, dWx, dWh, db = None, None, None, None, None\n    ##############################################################################\n    # TODO: Implement the backward pass for a vanilla RNN running an entire      #\n    # sequence of data. You should use the rnn_step_backward function that you   #\n    # defined above. You can use a for loop to help compute the backward pass.   #\n    ##############################################################################\n    # Replace \"pass\" statement with your code\n\n    # Get dimension values from \"dh\"\n    N, T, H = dh.shape\n    # Get the \"D\" value from the first timestep, first cached variable (the \"x\").\n    D = cache[0][0].shape[1]\n\n    to_dh_type = {'dtype': dh.dtype, 'device': dh.device.type}\n\n    # Initialize gradients with zeros.\n    dx = torch.zeros((N, T, D), **to_dh_type)\n    dWx = torch.zeros((D, H), **to_dh_type)\n    dWh = torch.zeros((H, H), **to_dh_type)\n    db = torch.zeros((H,), **to_dh_type)\n    # Initialize the derivate of the previous timestep hidden output (dprev_tsh)\n    # with the last \"dh\", because:\n    # - In the RNN backward pass, we must iterate over timesteps from the end\n    # to the beginnig.\n    # - The last hidden output derivate is the derivative of the input to the\n    # loss function only (since there is no another timestep).\n    dprev_tsh = dh[:, T-1, :]\n\n    # Loop through timesteps in descending order. Current timeserie is \"ts\" (integer).\n    for ts in range(T-1, -1, -1):\n      # Apply the backward step.\n      out_backward = rnn_step_backward(dprev_tsh, cache[ts])\n\n      # Assign current timestep 'x' gadient.\n      dx[:, ts, :] = out_backward[0]\n      # Sum 'dWx', 'dWh' and 'db' gradients.\n      dWx += out_backward[2]\n      dWh += out_backward[3]\n      db += out_backward[4]\n\n      # Get the current hidden timestep input 'first' gradient.\n      dprev_h = out_backward[1]\n      # Check if we got to the first timestep (i.e. The last backward-ed timestep).\n      if ts == 0:\n        dh0 = dprev_h\n      else:\n        # The current hidden timestep input is the sum of the \"1st input gradient\"\n        # and the \"upcoming gradient from the loss\".\n        dprev_tsh = dprev_h + dh[:, ts-1, :]\n\n    ##############################################################################\n    #                               END OF YOUR CODE                             #\n    ##############################################################################\n    return dx, dh0, dWx, dWh, db\n\n\n##############################################################################\n# You don't have to implement anything here but it is highly recommended to  #\n# through the code as you will write modules on your own later.              #\n##############################################################################\nclass RNN(nn.Module):\n  \"\"\"\n  A single-layer vanilla RNN module.\n  \n  Arguments for initialization:\n  - input_size: Input size, denoted as D before\n  - hidden_size: Hidden size, denoted as H before\n  \"\"\"\n  def __init__(self, input_size, hidden_size, device='cpu',\n                dtype=torch.float32):\n    \"\"\"\n    Initialize a RNN.\n    Model parameters to initialize:\n    - Wx: Weight matrix for input-to-hidden connections, of shape (D, H)\n    - Wh: Weight matrix for hidden-to-hidden connections, of shape (H, H)\n    - b: Biases, of shape (H,)\n    \"\"\"\n    super().__init__()\n    \n    # Register parameters\n    self.Wx = Parameter(torch.randn(input_size, hidden_size,\n                       device=device, dtype=dtype).div(math.sqrt(input_size)))\n    self.Wh = Parameter(torch.randn(hidden_size, hidden_size,\n                       device=device, dtype=dtype).div(math.sqrt(hidden_size)))\n    self.b = Parameter(torch.zeros(hidden_size,\n                       device=device, dtype=dtype))\n    \n  def forward(self, x, h0):\n    \"\"\"\n    Inputs:\n    - x: Input data for the entire timeseries, of shape (N, T, D)\n    - h0: Initial hidden state, of shape (N, H)\n\n    Outputs:\n    - hn: The hidden state output\n    \"\"\"\n    hn, _ = rnn_forward(x, h0, self.Wx, self.Wh, self.b)\n    return hn\n  \n  def step_forward(self, x, prev_h):\n    \"\"\"\n    Inputs:\n    - x: Input data for one time step, of shape (N, D)\n    - prev_h: The previous hidden state, of shape (N, H)\n\n    Outputs:\n    - next_h: The next hidden state, of shape (N, H)\n    \"\"\"\n    next_h, _ = rnn_step_forward(x, prev_h, self.Wx, self.Wh, self.b)\n    return next_h\n    \n\nclass WordEmbedding(nn.Module):\n  \"\"\"\n  Simplified version of torch.nn.Embedding.\n\n  We operate on minibatches of size N where\n  each sequence has length T. We assume a vocabulary of V words, assigning each\n  word to a vector of dimension D.\n\n  Inputs:\n  - x: Integer array of shape (N, T) giving indices of words. Each element idx\n    of x muxt be in the range 0 <= idx < V.\n\n  Returns a tuple of:\n  - out: Array of shape (N, T, D) giving word vectors for all input words.\n  \"\"\"\n  def __init__(self, vocab_size, embed_size,\n               device='cpu', dtype=torch.float32):\n      super().__init__()\n      \n      # Register parameters\n      self.W_embed = Parameter(torch.randn(vocab_size, embed_size,\n                         device=device, dtype=dtype).div(math.sqrt(vocab_size)))\n      \n  def forward(self, x):\n\n      out = None\n      ##############################################################################\n      # TODO: Implement the forward pass for word embeddings.                      #\n      #                                                                            #\n      # HINT: This can be done in one line using PyTorch's array indexing.         #\n      ##############################################################################\n      # Replace \"pass\" statement with your code\n\n      out = self.W_embed[x]\n\n      ##############################################################################\n      #                               END OF YOUR CODE                             #\n      ##############################################################################\n      return out\n\n\ndef temporal_softmax_loss(x, y, ignore_index=None):\n    \"\"\"\n    A temporal version of softmax loss for use in RNNs. We assume that we are\n    making predictions over a vocabulary of size V for each timestep of a\n    timeseries of length T, over a minibatch of size N. The input x gives scores\n    for all vocabulary elements at all timesteps, and y gives the indices of the\n    ground-truth element at each timestep. We use a cross-entropy loss at each\n    timestep, *summing* the loss over all timesteps and *averaging* across the\n    minibatch.\n\n    As an additional complication, we may want to ignore the model output at some\n    timesteps, since sequences of different length may have been combined into a\n    minibatch and padded with NULL tokens. The optional ignore_index argument\n    tells us which elements in the caption should not contribute to the loss.\n\n    Inputs:\n    - x: Input scores, of shape (N, T, V)\n    - y: Ground-truth indices, of shape (N, T) where each element is in the range\n         0 <= y[i, t] < V\n\n    Returns a tuple of:\n    - loss: Scalar giving loss\n    \"\"\"\n    loss = None\n    \n    ##############################################################################\n    # TODO: Implement the temporal softmax loss function.                        #\n    #                                                                            #\n    # REQUIREMENT: This part MUST be done in one single line of code!            #\n    #                                                                            #\n    # HINT: Look up the function torch.functional.cross_entropy, set             #\n    # ignore_index to the variable ignore_index (i.e., index of NULL) and        #\n    # set reduction to either 'sum' or 'mean' (avoid using 'none' for now).      #\n    #                                                                            #\n    # We use a cross-entropy loss at each timestep, *summing* the loss over      #\n    # all timesteps and *averaging* across the minibatch.                        #\n    ##############################################################################\n    # Replace \"pass\" statement with your code\n\n    # To fit 'cross_entropy' input requirements, we need to transpose \"x\" dims.\n    # That is, The shape of \"x\" will be transformed from (N, T, V) to (N, V, T)\n    # We sum the loss over all timesteps, then average across the minibatch.\n    loss = nn.functional.cross_entropy(torch.transpose(x, 1, 2), y,\n                          ignore_index=ignore_index, reduction='sum') / x.shape[0]\n\n    ##############################################################################\n    #                               END OF YOUR CODE                             #\n    ##############################################################################\n    \n    return loss\n\n\nclass CaptioningRNN(nn.Module):\n    \"\"\"\n    A CaptioningRNN produces captions from images using a recurrent\n    neural network.\n\n    The RNN receives input vectors of size D, has a vocab size of V, works on\n    sequences of length T, has an RNN hidden dimension of H, uses word vectors\n    of dimension W, and operates on minibatches of size N.\n\n    Note that we don't use any regularization for the CaptioningRNN.\n    \n    You will implement the `__init__` method for model initialization and\n    the `forward` method first, then come back for the `sample` method later.\n    \"\"\"\n    def __init__(self, word_to_idx, input_dim=512, wordvec_dim=128,\n                 hidden_dim=128, cell_type='rnn', device='cpu', \n                 ignore_index=None, dtype=torch.float32):\n        \"\"\"\n        Construct a new CaptioningRNN instance.\n\n        Inputs:\n        - word_to_idx: A dictionary giving the vocabulary. It contains V entries,\n          and maps each string to a unique integer in the range [0, V).\n        - input_dim: Dimension D of input image feature vectors.\n        - wordvec_dim: Dimension W of word vectors.\n        - hidden_dim: Dimension H for the hidden state of the RNN.\n        - cell_type: What type of RNN to use; either 'rnn' or 'lstm'.\n        - dtype: datatype to use; use float32 for training and float64 for\n          numeric gradient checking.\n        \"\"\"\n        super().__init__()\n        if cell_type not in {'rnn', 'lstm', 'attention'}:\n            raise ValueError('Invalid cell_type \"%s\"' % cell_type)\n\n        self.cell_type = cell_type\n        self.word_to_idx = word_to_idx\n        self.idx_to_word = {i: w for w, i in word_to_idx.items()}\n\n        vocab_size = len(word_to_idx)\n\n        self._null = word_to_idx['<NULL>']\n        self._start = word_to_idx.get('<START>', None)\n        self._end = word_to_idx.get('<END>', None)\n        self.ignore_index = ignore_index  \n        \n        ##########################################################################\n        # TODO: Initialize the image captioning module. Refer to the TODO        #\n        # in the captioning_forward function on layers you need to create        #\n        #                                                                        #\n        # Hint: You may want to check the following pre-defined classes:         #\n        # FeatureExtractor, WordEmbedding, RNN, LSTM, AttentionLSTM,             #\n        # torch.nn.Linear                                                        #\n        #                                                                        #\n        # Hint: You can use nn.Linear for both                                   #\n        # i) output projection (from RNN hidden state to vocab probability) and  #\n        # ii) feature projection (from CNN pooled feature to h0)                 #\n        #                                                                        #\n        # Hint: In FeatureExtractor, set pooling=True to get the pooled CNN      #\n        #       feature and pooling=False to get the CNN activation map.         #\n        ##########################################################################\n        # Replace \"pass\" statement with your code\n\n        # Create an image's feature extractor.\n        # It's a CNN that takes N images and, depending on the \"cell_type\", returns:\n        #  - A tensor of shape (N, 1280), for RNN and LSTM.\n        #  - A tensor of shape (N, 1280, 4, 4), for AttentionLSTM.\n        self.featureExtractor = FeatureExtractor(pooling=(cell_type != 'attention'),\n                                                  device=device, dtype=dtype)\n\n        # Create a feature projector to h0 (in case of RNN and LSTM).\n        # It transforms a tensor of shape (N, 1280) to (N, H).\n        if self.cell_type in ['rnn', 'lstm']:\n          self.featureProjector = nn.Linear(1280, hidden_dim).to(device, dtype)\n        else: # \"cell_type\" is 'attention'.\n          # Transform a tensor of shape (N, 1280, 4, 4) to (N, H, 4, 4).\n          self.featureProjector = nn.Conv2d(1280, hidden_dim, 1, stride=1, padding=0).to(device, dtype)\n\n        # Create a word embedding.\n        self.wordEmbedding = WordEmbedding(vocab_size, wordvec_dim, device=device, dtype=dtype)\n\n        # Create the core network, its type depends on the \"cell_type\".\n        if self.cell_type == 'rnn':\n          self.coreNetwork = RNN(wordvec_dim, hidden_dim, device=device, dtype=dtype)\n        elif self.cell_type == 'lstm':\n          self.coreNetwork = LSTM(wordvec_dim, hidden_dim, device=device, dtype=dtype)\n        else: # \"cell_type\" is 'attention'.\n          self.coreNetwork = AttentionLSTM(wordvec_dim, hidden_dim, device=device, dtype=dtype)\n\n        # Create an output projector. It transforms the RNN hidden state to vocab probability.\n        # In term of shapes, this layer [(H, V)] takes the input (N, T, H) and outputs (N, T, V)\n        self.outProjector = nn.Linear(hidden_dim, vocab_size).to(device, dtype)\n\n        #############################################################################\n        #                              END OF YOUR CODE                             #\n        #############################################################################\n    \n    def forward(self, images, captions):\n        \"\"\"\n        Compute training-time loss for the RNN. We input images and\n        ground-truth captions for those images, and use an RNN (or LSTM) to compute\n        loss. The backward part will be done by torch.autograd.\n\n        Inputs:\n        - images: Input images, of shape (N, 3, 112, 112)\n        - captions: Ground-truth captions; an integer array of shape (N, T + 1) where\n          each element is in the range 0 <= y[i, t] < V\n\n        Outputs:\n        - loss: A scalar loss\n        \"\"\"\n        # Cut captions into two pieces: captions_in has everything but the last word\n        # and will be input to the RNN; captions_out has everything but the first\n        # word and this is what we will expect the RNN to generate. These are offset\n        # by one relative to each other because the RNN should produce word (t+1)\n        # after receiving word t. The first element of captions_in will be the START\n        # token, and the first element of captions_out will be the first word.\n        captions_in = captions[:, :-1]\n        captions_out = captions[:, 1:]\n\n        loss = 0.0\n        ############################################################################\n        # TODO: Implement the forward pass for the CaptioningRNN.                  #\n        # In the forward pass you will need to do the following:                   #\n        # (1) Use an affine transformation to project the image feature to         #\n        #     the initial hidden state $h0$ (for RNN/LSTM, of shape (N, H)) or     #\n        #     the projected CNN activation input $A$ (for Attention LSTM,          #\n        #     of shape (N, H, 4, 4).                                               #\n        # (2) Use a word embedding layer to transform the words in captions_in     #\n        #     from indices to vectors, giving an array of shape (N, T, W).         #\n        # (3) Use either a vanilla RNN or LSTM (depending on self.cell_type) to    #\n        #     process the sequence of input word vectors and produce hidden state  #\n        #     vectors for all timesteps, producing an array of shape (N, T, H).    #\n        # (4) Use a (temporal) affine transformation to compute scores over the    #\n        #     vocabulary at every timestep using the hidden states, giving an      #\n        #     array of shape (N, T, V).                                            #\n        # (5) Use (temporal) softmax to compute loss using captions_out, ignoring  #\n        #     the points where the output word is <NULL>.                          #\n        #                                                                          #\n        # Do not worry about regularizing the weights or their gradients!          #\n        ############################################################################\n        # Replace \"pass\" statement with your code\n\n        # Extract features from the input images.\n        features = self.featureExtractor.extract_mobilenet_feature(images)\n\n        # Step (1): Use an affine transformation.\n        # \"featureProjector\" behaviour depends on \"cell_type\":\n        #  - For 'rnn' and 'lstm', we apply a linear layer. Output (h0) shape is (N, H)\n        #  - For 'attention', we apply a conv layer. Output (A) shape is (N, H, 4, 4)\n        h0_A = self.featureProjector(features)\n\n        # Step (2): Use a word embedding layer. \"embed_words\" shape is (N, T, W)\n        embed_words = self.wordEmbedding(captions_in)\n\n        # Step (3): Process the sequence of \"embed_words\" and produce hidden state vectors.\n        # \"hstates\" is a tensor of shape (N, T, H)\n        hstates = self.coreNetwork(embed_words, h0_A)\n\n        # Step (4): Use a (temporal) affine transformation to compute scores over the vocabulary.\n        # \"scores\" is a tensor of shape (N, T, V)\n        scores = self.outProjector(hstates)\n\n        # Step (5): Use (temporal) softmax to compute loss.\n        loss = temporal_softmax_loss(scores, captions_out, self.ignore_index)\n\n        ############################################################################\n        #                             END OF YOUR CODE                             #\n        ############################################################################\n\n        return loss\n\n    def sample(self, images, max_length=15):\n        \"\"\"\n        Run a test-time forward pass for the model, sampling captions for input\n        feature vectors.\n\n        At each timestep, we embed the current word, pass it and the previous hidden\n        state to the RNN to get the next hidden state, use the hidden state to get\n        scores for all vocab words, and choose the word with the highest score as\n        the next word. The initial hidden state is computed by applying an affine\n        transform to the image features, and the initial word is the <START>\n        token.\n\n        For LSTMs you will also have to keep track of the cell state; in that case\n        the initial cell state should be zero.\n\n        Inputs:\n        - images: Input images, of shape (N, 3, 112, 112)\n        - max_length: Maximum length T of generated captions\n\n        Returns:\n        - captions: Array of shape (N, max_length) giving sampled captions,\n          where each element is an integer in the range [0, V). The first element\n          of captions should be the first sampled word, not the <START> token.\n        \"\"\"\n        N = images.shape[0]\n        captions = self._null * images.new(N, max_length).fill_(1).long()\n\n        if self.cell_type == 'attention':\n          attn_weights_all = images.new(N, max_length, 4, 4).fill_(0).float()\n\n        ###########################################################################\n        # TODO: Implement test-time sampling for the model. You will need to      #\n        # initialize the hidden state of the RNN by applying the learned affine    #\n        # transform to the image features. The first word that you feed to         #\n        # the RNN should be the <START> token; its value is stored in the         #\n        # variable self._start. At each timestep you will need to do to:          #\n        # (1) Embed the previous word using the learned word embeddings           #\n        # (2) Make an RNN step using the previous hidden state and the embedded   #\n        #     current word to get the next hidden state.                          #\n        # (3) Apply the learned affine transformation to the next hidden state to  #\n        #     get scores for all words in the vocabulary                          #\n        # (4) Select the word with the highest score as the next word, writing it #\n        #     (the word index) to the appropriate slot in the captions variable   #\n        #                                                                         #\n        # For simplicity, you do not need to stop generating after an <END> token #\n        # is sampled, but you can if you want to.                                 #\n        #                                                                         #\n        # HINT: You will not be able to use the rnn_forward or lstm_forward       #\n        # functions; you'll need to call the `step_forward` from the              #\n        # RNN/LSTM/AttentionLSTM module in a loop.                                #\n        #                                                                         #\n        # NOTE: we are still working over minibatches in this function. Also if   #\n        # you are using an LSTM, initialize the first cell state to zeros.         #\n        # For AttentionLSTM, first project the 1280x4x4 CNN feature activation to  #\n        # $A$ of shape Hx4x4. The LSTM initial hidden state and cell state        #\n        # would both be A.mean(dim=(2, 3)).                                       #\n        ###########################################################################\n        # Replace \"pass\" statement with your code\n\n        # Extract features from the input images.\n        features = self.featureExtractor.extract_mobilenet_feature(images)\n\n        # Get the device on which we are operating (CPU or GPU [CUDA]).\n        device = features.device\n        # Put \"captions\" to the actual device, as all other tensors are in this device.\n        captions = captions.to(device=device)\n\n        # Use an affine transformation.\n        if self.cell_type in ['rnn', 'lstm']:\n          # Initialize the hidden state by applying the affine transform to the features.\n          h = self.featureProjector(features)\n          # For LSTM: Initialize the cell hidden state with a zeroes-matrix of 'h' shape.\n          # If a RNN is used (istead of LSTM), then \"c\" will simply not be used.\n          c = torch.zeros_like(h, device=device)\n        else: # \"cell_type\" is 'attention'.\n          # Put \"attn_weights_all\" to the actual device, as all other tensors are in this device.\n          attn_weights_all = attn_weights_all.to(device=device)\n          # Project the features to the the projected CNN activation input.\n          A = self.featureProjector(features)\n          # For AttentionLSTM: initial hidden state and cell state would both be A.mean(dim=(2, 3)).\n          h, c = A.mean(dim=(2, 3)), A.mean(dim=(2, 3))\n\n        # Initialize the words feeded to the RNN (for each minibatch sample) with the\n        # <START> token.\n        fwords = self._start\n        # Initialize the encounter mark of the <END> token for each minibatch sample.\n        # In the beginning, for each minibatch sample, the <END> token is not encountered,\n        # thus, 'True' value is assigned for each minibatch sample. This will:\n        # - Stop adding tokens for minibatch samples which have already encountered the <END>.\n        # - Stop generating the tokens for all minibatch samples *if and only if* all the\n        # minibatch samples have already encountered the <END> token.\n        notend = torch.full([N], True, device=device)\n\n        # Start generating tokens for each minibatch sample.\n        # One token (per sample) per timestep (ts).\n        for ts in range(max_length):\n          # Embed the word (for each sample) using the learned word embeddings.\n          x = self.wordEmbedding(fwords)\n          # Apply the RNN/LSTM forward step. Output is the next hidden state (h).\n          if self.cell_type == 'rnn':\n            h = self.coreNetwork.step_forward(x, h)\n          elif self.cell_type == 'lstm':\n            h, c = self.coreNetwork.step_forward(x, h, c)\n          else: # \"cell_type\" is 'attention'.\n            attn, attn_weights = dot_product_attention(h, A)\n            # Save current timestep attention weights (for visualization purpose).\n            attn_weights_all[:, ts] = attn_weights\n            h, c = self.coreNetwork.step_forward(x, h, c, attn)\n\n          # Reshape \"h\" to fit the temporal affine forward pass, since the latter is applied\n          # to the current timestep 'h' only (and not to the whole timesteps 'h' as it was\n          # designed to).\n          # Reshape \"h\" from (N, D) to (N, T, D), where T=1.\n          hts = h.unsqueeze(1)\n          # Apply the temporal affine forward pass on the \"hidden state for the current\n          # timestep\" (hts).\n          temp = self.outProjector(hts)\n          # Reshape 'temp' from (N, 1, M) to (N, M).\n          temp = temp.squeeze()\n\n          # Select the word (for each sample) with the highest score.\n          fwords = torch.argmax(temp, axis=1)\n\n          # Check if the <END> token is encountered for each sample. If so, mark it.\n          mask = fwords == self._end\n          notend[mask] = False\n          # Check if all the samples have already encountered the <END> token.\n          # If so, stop generating tokens (exit the loop).\n          if not notend.any():\n            break\n\n          # Add current timestep generated word (for each sample) to the caption.\n          # If the <END> token has not been already encountered.\n          captions[notend, ts] = fwords[notend]\n\n        ############################################################################\n        #                             END OF YOUR CODE                             #\n        ############################################################################\n        if self.cell_type == 'attention':\n          return captions, attn_weights_all.cpu()\n        else:\n          return captions\n\n\n##############################################################################\n# LSTM                                                                       #\n##############################################################################\n\ndef lstm_step_forward(x, prev_h, prev_c, Wx, Wh, b, attn=None, Wattn=None):\n    \"\"\"\n    Forward pass for a single timestep of an LSTM.\n\n    The input data has dimension D, the hidden state has dimension H, and we use\n    a minibatch size of N.\n\n    Inputs:\n    - x: Input data, of shape (N, D)\n    - prev_h: Previous hidden state, of shape (N, H)\n    - prev_c: previous cell state, of shape (N, H)\n    - Wx: Input-to-hidden weights, of shape (D, 4H)\n    - Wh: Hidden-to-hidden weights, of shape (H, 4H)\n    - b: Biases, of shape (4H,)\n    - attn and Wattn are for Attention LSTM only, indicate the attention input and\n      embedding weights for the attention input\n\n    Returns a tuple of:\n    - next_h: Next hidden state, of shape (N, H)\n    - next_c: Next cell state, of shape (N, H)\n    \"\"\"\n    next_h, next_c = None, None\n    #############################################################################\n    # TODO: Implement the forward pass for a single timestep of an LSTM.        #\n    # You may want to use torch.sigmoid() for the sigmoid function.             #\n    #############################################################################\n    # Replace \"pass\" statement with your code\n\n    # Compute the input dot product (inprod), output shape is (N, 4H).\n    inprod = x @ Wx\n    # Compute the hidden dot product (hprod), output shape is (N, 4H).\n    hprod = prev_h @ Wh\n    # Compute the attention dot product (atprod), output shape is (N, 4H).\n    # If the attention tensors are not defined, the product's result will be 0.\n    atprod = attn @ Wattn if attn is not None else 0\n    # Compute the pre-activation (preact) sum, output shape is (N, 4H).\n    preact = inprod + hprod + atprod + b\n\n    # Split \"preact\" along the column-dim into 4 parts [each of shape (N, H)].\n    # For that, we need to get the chunk size, which is simply \"H\".\n    H = prev_h.shape[1]\n    ai, af, ao, ag = torch.split(preact, H, dim=1)\n\n    # Compute respectively 'input', 'forget', 'output' and 'block' gates.\n    i = torch.sigmoid(ai)\n    f = torch.sigmoid(af)\n    o = torch.sigmoid(ao)\n    g = torch.tanh(ag)\n\n    # Compute the next cell state (next_c).\n    next_c = f * prev_c + i * g\n    # Compute the next hidden state (next_h).\n    next_h = o * torch.tanh(next_c)\n\n    ##############################################################################\n    #                               END OF YOUR CODE                             #\n    ##############################################################################\n\n    return next_h, next_c\n\n\ndef lstm_forward(x, h0, Wx, Wh, b):\n    \"\"\"\n    Forward pass for an LSTM over an entire sequence of data. We assume an input\n    sequence composed of T vectors, each of dimension D. The LSTM uses a hidden\n    size of H, and we work over a minibatch containing N sequences. After running\n    the LSTM forward, we return the hidden states for all timesteps.\n\n    Note that the initial cell state is passed as input, but the initial cell\n    state is set to zero. Also note that the cell state is not returned; it is\n    an internal variable to the LSTM and is not accessed from outside.\n\n    Inputs:\n    - x: Input data, of shape (N, T, D)\n    - h0: Initial hidden state, of shape (N, H)\n    - Wx: Weights for input-to-hidden connections, of shape (D, 4H)\n    - Wh: Weights for hidden-to-hidden connections, of shape (H, 4H)\n    - b: Biases, of shape (4H,)\n\n    Returns a tuple of:\n    - h: Hidden states for all timesteps of all sequences, of shape (N, T, H)\n    \"\"\"\n    h = None\n    c0 = torch.zeros_like(h0) # we provide the intial cell state c0 here for you!\n    #############################################################################\n    # TODO: Implement the forward pass for an LSTM over an entire timeseries.   #\n    # You should use the lstm_step_forward function that you just defined.       #\n    #############################################################################\n    # Replace \"pass\" statement with your code\n\n    # Get dimension values from \"x\" and \"h0\"\n    N, T, D = x.shape\n    H = h0.shape[1]\n    # Get the device of c0.\n    device = c0.device\n\n    # Initialize the hidden states array for the entire timeseries.\n    h = torch.zeros((N, T, H)).to(device=device)\n    # Initialize the previous hidden state (prev_h) with the initial one.\n    prev_h = h0\n    # Initialize the cell state with c0.\n    prev_c = c0\n\n    # Loop over timeseries. Current timeserie is \"ts\" (integer).\n    for ts in range(T):\n      # Get the minibatch for current \"ts\".\n      ts_x = x[:, ts, :]\n      # Apply the forward step.\n      ts_h, ts_c = lstm_step_forward(ts_x, prev_h, prev_c, Wx, Wh, b)\n      # Current timeserie hidden state (ts_h) will be 'previous' in the next \"ts\".\n      # The same for \"ts_c\".\n      prev_h, prev_c = ts_h, ts_c\n      # Add \"ts_h\" to the hidden states array.\n      h[:, ts, :] = ts_h\n\n    ##############################################################################\n    #                               END OF YOUR CODE                             #\n    ##############################################################################\n\n    return h\n\nclass LSTM(nn.Module):\n  \"\"\"\n  This is our single-layer, uni-directional LSTM module.\n  \n  Arguments for initialization:\n  - input_size: Input size, denoted as D before\n  - hidden_size: Hidden size, denoted as H before\n  \"\"\"\n  def __init__(self, input_size, hidden_size, device='cpu',\n                dtype=torch.float32):\n    \"\"\"\n    Initialize a LSTM.\n    Model parameters to initialize:\n    - Wx: Weights for input-to-hidden connections, of shape (D, 4H)\n    - Wh: Weights for hidden-to-hidden connections, of shape (H, 4H)\n    - b: Biases, of shape (4H,)\n    \"\"\"\n    super().__init__()\n    \n    # Register parameters\n    self.Wx = Parameter(torch.randn(input_size, hidden_size*4,\n                       device=device, dtype=dtype).div(math.sqrt(input_size)))\n    self.Wh = Parameter(torch.randn(hidden_size, hidden_size*4,\n                       device=device, dtype=dtype).div(math.sqrt(hidden_size)))\n    self.b = Parameter(torch.zeros(hidden_size*4,\n                       device=device, dtype=dtype))\n    \n  def forward(self, x, h0):\n    \"\"\"\n    Inputs:\n    - x: Input data for the entire timeseries, of shape (N, T, D)\n    - h0: Initial hidden state, of shape (N, H)\n\n    Outputs:\n    - hn: The hidden state output\n    \"\"\"\n    hn = lstm_forward(x, h0, self.Wx, self.Wh, self.b)\n    return hn\n  \n  def step_forward(self, x, prev_h, prev_c):\n    \"\"\"\n    Inputs:\n    - x: Input data for one time step, of shape (N, D)\n    - prev_h: The previous hidden state, of shape (N, H)\n    - prev_c: The previous cell state, of shape (N, H)\n\n    Outputs:\n    - next_h: The next hidden state, of shape (N, H)\n    - next_c: The next cell state, of shape (N, H)\n    \"\"\"\n    next_h, next_c = lstm_step_forward(x, prev_h, prev_c, self.Wx, self.Wh, self.b)\n    return next_h, next_c\n\n\n##############################################################################\n# Attention LSTM                                                             #\n##############################################################################\n\ndef dot_product_attention(prev_h, A):\n    \"\"\"\n    A simple scaled dot-product attention layer.\n    Inputs:\n    - prev_h: The LSTM hidden state from the previous time step, of shape (N, H)\n    - A: **Projected** CNN feature activation, of shape (N, H, 4, 4),\n         where H is the LSTM hidden state size\n    \n    Outputs:\n    - attn: Attention embedding output, of shape (N, H)\n    - attn_weights: Attention weights, of shape (N, 4, 4)\n    \n    \"\"\"\n    N, H, D_a, _ = A.shape\n\n    attn, attn_weights = None, None\n    #############################################################################\n    # TODO: Implement the scaled dot-product attention we described earlier.    #\n    # You will use this function for `attention_forward` and `sample_caption`   #\n    # HINT: Make sure you reshape attn_weights back to (N, 4, 4)!               #\n    #############################################################################\n    # Replace \"pass\" statement with your code\n\n    # Flatten the two last dims of \"A\". Now, \"A\" has a shape of (N, H, 16)\n    A = torch.flatten(A, start_dim=2)\n\n    # Add one dimension to \"prev_h\". Now, \"prev_h\" has a shape of (N, H, 1)\n    prev_h = prev_h.unsqueeze(2)\n    # Transpose the two last dims of \"prev_h\". Now, \"prev_h\" has a shape of (N, 1, H)\n    prev_h = torch.transpose(prev_h, 1, 2)\n\n    # Compute the attention weights (M~ matrix).\n    # In terms of shape, the torch.matmul (@) operation gives:\n    # attn_weights = (prev_h @ A) / math.sqrt(H)\n    #              = [(N, 1, H) @ (N, H, 16)] / <scalar>  ; Note the two last dims alignment.\n    #              = (N, 1, 16)\n    attn_weights = (prev_h @ A) / math.sqrt(H)\n    # After the transposition, \"attn_weights\" will have a shape of (N, 16, 1)\n    attn_weights = torch.transpose(attn_weights, 1, 2)\n    # Apply the Softmax on \"attn_weights\"\n    attn_weights = torch.softmax(attn_weights, 1)\n\n    # Compute the attention embedding. attn.shape = (N, H, 16) @ (N, 16, 1) = (N, H, 1)\n    attn = A @ attn_weights\n    # Remove unit dims from \"attn\". \"attn\" will have a shape of (N, H)\n    attn = attn.squeeze()\n\n    # Reshape back \"attn_weights\" from (N, 16, 1) to (N, 4, 4)\n    attn_weights = attn_weights.squeeze().reshape((N, 4, 4))\n\n    ##############################################################################\n    #                               END OF YOUR CODE                             #\n    ##############################################################################\n    \n    return attn, attn_weights\n\n\ndef attention_forward(x, A, Wx, Wh, Wattn, b):\n    \"\"\"\n    h0 and c0 are same initialized as the global image feature (meanpooled A)\n    For simplicity, we implement scaled dot-product attention, which means in\n    Eq. 4 of the paper (https://arxiv.org/pdf/1502.03044.pdf),\n    f_{att}(a_i, h_{t−1}) equals to the scaled dot product of a_i and h_{t-1}.\n    \n    Forward pass for an LSTM over an entire sequence of data. We assume an input\n    sequence composed of T vectors, each of dimension D. The LSTM uses a hidden\n    size of H, and we work over a minibatch containing N sequences. After running\n    the LSTM forward, we return the hidden states for all timesteps.\n\n    Note that the initial cell state is passed as input, but the initial cell\n    state is set to zero. Also note that the cell state is not returned; it is\n    an internal variable to the LSTM and is not accessed from outside.\n\n    Inputs:\n    - x: Input data, of shape (N, T, D)\n    - A: **Projected** activation map, of shape (N, H, 4, 4)\n    - Wx: Weights for input-to-hidden connections, of shape (D, 4H)\n    - Wh: Weights for hidden-to-hidden connections, of shape (H, 4H)\n    - Wattn: Weights for attention-to-hidden connections, of shape (H, 4H)\n    - b: Biases, of shape (4H,)\n\n    Returns a tuple of:\n    - h: Hidden states for all timesteps of all sequences, of shape (N, T, H)\n    \"\"\"\n    \n    h = None\n    \n    # The initial hidden state h0 and cell state c0 are initialized differently in\n    # Attention LSTM from the original LSTM and hence we provided them for you.\n    h0 = A.mean(dim=(2, 3)) # Initial hidden state, of shape (N, H)\n    c0 = h0 # Initial cell state, of shape (N, H)\n\n    #############################################################################\n    # TODO: Implement the forward pass for an LSTM over an entire timeseries.   #\n    # You should use the lstm_step_forward function and dot_product_attention   #\n    # function that you just defined.                                           #\n    #############################################################################\n    # Replace \"pass\" statement with your code\n\n    # Get dimension values from \"x\" and \"h0\"\n    N, T, D = x.shape\n    H = h0.shape[1]\n    # Get the device of c0.\n    device = c0.device\n\n    # Initialize the hidden states array for the entire timeseries.\n    h = torch.zeros((N, T, H)).to(device=device)\n    # Initialize the previous hidden state (prev_h) with the initial one.\n    prev_h = h0\n    # Initialize the cell state with c0.\n    prev_c = c0\n\n    # Loop over timeseries. Current timeserie is \"ts\" (integer).\n    for ts in range(T):\n      # Get the minibatch for current \"ts\".\n      ts_x = x[:, ts, :]\n      # Get current attention embedding. Here, we don't care about \"attention weights\"\n      # (2nd output) as it's used mainly for visualization purposes.\n      attn, _ = dot_product_attention(prev_h, A)\n\n      # Apply the forward step.\n      ts_h, ts_c = lstm_step_forward(ts_x, prev_h, prev_c, Wx, Wh, b, attn, Wattn)\n      # Current timeserie hidden state (ts_h) will be 'previous' in the next \"ts\".\n      # The same for \"ts_c\".\n      prev_h, prev_c = ts_h, ts_c\n      # Add \"ts_h\" to the hidden states array.\n      h[:, ts, :] = ts_h\n\n    ##############################################################################\n    #                               END OF YOUR CODE                             #\n    ##############################################################################\n\n    return h\n\n\nclass AttentionLSTM(nn.Module):\n  \"\"\"\n  This is our single-layer, uni-directional Attention module.\n  \n  Arguments for initialization:\n  - input_size: Input size, denoted as D before\n  - hidden_size: Hidden size, denoted as H before\n  \"\"\"\n  def __init__(self, input_size, hidden_size, device='cpu',\n                dtype=torch.float32):\n    \"\"\"\n    Initialize a LSTM.\n    Model parameters to initialize:\n    - Wx: Weights for input-to-hidden connections, of shape (D, 4H)\n    - Wh: Weights for hidden-to-hidden connections, of shape (H, 4H)\n    - Wattn: Weights for attention-to-hidden connections, of shape (H, 4H)\n    - b: Biases, of shape (4H,)\n    \"\"\"\n    super().__init__()\n    \n    # Register parameters\n    self.Wx = Parameter(torch.randn(input_size, hidden_size*4,\n                       device=device, dtype=dtype).div(math.sqrt(input_size)))\n    self.Wh = Parameter(torch.randn(hidden_size, hidden_size*4,\n                       device=device, dtype=dtype).div(math.sqrt(hidden_size)))\n    self.Wattn = Parameter(torch.randn(hidden_size, hidden_size*4,\n                       device=device, dtype=dtype).div(math.sqrt(hidden_size)))\n    self.b = Parameter(torch.zeros(hidden_size*4,\n                       device=device, dtype=dtype))\n    \n  def forward(self, x, A):\n    \"\"\"  \n    Inputs:\n    - x: Input data for the entire timeseries, of shape (N, T, D)\n    - A: The projected CNN feature activation, of shape (N, H, 4, 4)\n\n    Outputs:\n    - hn: The hidden state output\n    \"\"\"\n    hn = attention_forward(x, A, self.Wx, self.Wh, self.Wattn, self.b)\n    return hn\n  \n  def step_forward(self, x, prev_h, prev_c, attn):\n    \"\"\"\n    Inputs:\n    - x: Input data for one time step, of shape (N, D)\n    - prev_h: The previous hidden state, of shape (N, H)\n    - prev_c: The previous cell state, of shape (N, H)\n    - attn: The attention embedding, of shape (N, H)\n\n    Outputs:\n    - next_h: The next hidden state, of shape (N, H)\n    - next_c: The next cell state, of shape (N, H)\n    \"\"\"\n    next_h, next_c = lstm_step_forward(x, prev_h, prev_c, self.Wx, self.Wh,\n                                       self.b, attn=attn, Wattn=self.Wattn)\n    return next_h, next_c\n\n"
  },
  {
    "path": "eecs498-007/A4/style_transfer.ipynb",
    "content": "{\"nbformat\":4,\"nbformat_minor\":0,\"metadata\":{\"accelerator\":\"GPU\",\"colab\":{\"name\":\"style_transfer.ipynb\",\"provenance\":[],\"collapsed_sections\":[]},\"kernelspec\":{\"display_name\":\"Python 3\",\"name\":\"python3\"},\"language_info\":{\"codemirror_mode\":{\"name\":\"ipython\",\"version\":3},\"file_extension\":\".py\",\"mimetype\":\"text/x-python\",\"name\":\"python\",\"nbconvert_exporter\":\"python\",\"pygments_lexer\":\"ipython3\",\"version\":\"3.7.3\"}},\"cells\":[{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"DDJwQPZcupab\"},\"source\":[\"# EECS 498-007/598-005 Assignment 4-4: Style Transfer\\n\",\"\\n\",\"Before we start, please put your name and UMID in following format\\n\",\"\\n\",\": Firstname LASTNAME, #00000000   //   e.g.) Justin JOHNSON, #12345678\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"2KMxqLt1h2kx\"},\"source\":[\"**Your Answer:**   \\n\",\"Soufian BENAMARA, #NOid\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"Ttiie3K-fC6A\",\"tags\":[\"pdf-title\"]},\"source\":[\"# Style Transfer\\n\",\"In this notebook we will implement the style transfer technique from [\\\"Image Style Transfer Using Convolutional Neural Networks\\\" (Gatys et al., CVPR 2015)](http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Gatys_Image_Style_Transfer_CVPR_2016_paper.pdf).\\n\",\"\\n\",\"The general idea is to take two images, and produce a new image that reflects the content of one but the artistic \\\"style\\\" of the other. We will do this by first formulating a loss function that matches the content and style of each respective image in the feature space of a deep network, and then performing gradient descent on the pixels of the image itself.\\n\",\"\\n\",\"The deep network we use as a feature extractor is [SqueezeNet](https://arxiv.org/abs/1602.07360), a small model that has been trained on ImageNet. You could use any network, but we chose SqueezeNet here for its small size and efficiency.\\n\",\"\\n\",\"Here's an example of the images you'll be able to produce by the end of this notebook:\\n\",\"\\n\",\"![caption](http://web.eecs.umich.edu/~justincj/teaching/eecs498/example_styletransfer.png)\\n\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"g8OM-F8jddQ-\"},\"source\":[\"# Setup Code\\n\",\"Before getting started we need to run some boilerplate code to set up our environment. You'll need to rerun this setup code each time you start the notebook.\\n\",\"\\n\",\"First, run this cell load the [autoreload](https://ipython.readthedocs.io/en/stable/config/extensions/autoreload.html?highlight=autoreload) extension. This allows us to edit `.py` source files, and re-import them into the notebook for a seamless editing and debugging experience.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"hWG4QKDfdfHa\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1617551051628,\"user_tz\":-60,\"elapsed\":847,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}}},\"source\":[\"%load_ext autoreload\\n\",\"%autoreload 2\"],\"execution_count\":1,\"outputs\":[]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"Bzv5-2FDdkAj\"},\"source\":[\"### Google Colab Setup\\n\",\"\\n\",\"Next we need to run a few commands to set up our environment on Google Colab. If you are running this notebook on a local machine you can skip this section.\\n\",\"\\n\",\"Run the following cell to mount your Google Drive. Follow the link, sign in to your Google account (the same account you used to store this notebook!) and copy the authorization code into the text box that appears below.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"p2BcHlX-dlXe\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1617551052119,\"user_tz\":-60,\"elapsed\":1325,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"4fc21cd8-f5c7-4978-96dc-de26e07ba8e5\"},\"source\":[\"from google.colab import drive\\n\",\"drive.mount('/content/drive')\"],\"execution_count\":2,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Drive already mounted at /content/drive; to attempt to forcibly remount, call drive.mount(\\\"/content/drive\\\", force_remount=True).\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"RugOWCefdoTP\"},\"source\":[\"Now recall the path in your Google Drive where you uploaded this notebook, fill it in below. If everything is working correctly then running the folowing cell should print the filenames from the assignment:\\n\",\"\\n\",\"```\\n\",\"['eecs598', 'network_visualization.py', 'style_transfer.py',  'network_visualization.ipynb', 'a4_helper.py', 'pytorch_autograd_and_nn.py', 'pytorch_autograd_and_nn.ipynb', 'style_transfer.ipynb', 'rnn_lstm_attention_captioning.ipynb',  'rnn_lstm_attention_captioning.py']\\n\",\"```\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"h56pMc7zd6uD\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1617551052497,\"user_tz\":-60,\"elapsed\":1694,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"2684b9c0-b046-4ea7-b4f4-892aa147dfed\"},\"source\":[\"import os\\n\",\"\\n\",\"# TODO: Fill in the Google Drive path where you uploaded the assignment\\n\",\"# Example: If you create a 2020FA folder and put all the files under A1 folder, then '2020FA/A1'\\n\",\"GOOGLE_DRIVE_PATH_AFTER_MYDRIVE = '2020FA/A4'\\n\",\"GOOGLE_DRIVE_PATH = os.path.join('drive', 'My Drive', GOOGLE_DRIVE_PATH_AFTER_MYDRIVE)\\n\",\"print(os.listdir(GOOGLE_DRIVE_PATH))\"],\"execution_count\":3,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"['a4_helper.py', 'style_transfer.py', 'eecs598', '__pycache__', 'pytorch_autograd_and_nn.py', 'pytorch_autograd_and_nn.pkl', 'pytorch_autograd_and_nn.ipynb', 'rnn_lstm_attention_captioning.py', 'rnn_lstm_attention_submission.pkl', 'rnn_lstm_attention_captioning.ipynb', 'network_visualization.py', 'saliency_maps_results.jpg', 'adversarial_attacks_results.jpg', 'class_viz_result.jpg', 'network_visualization.ipynb', 'style_transfer.ipynb', 'style_transfer_result.jpg', 'feature_inversion_result.jpg']\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"dwYtYDmId_94\"},\"source\":[\"Once you have successfully mounted your Google Drive and located the path to this assignment, run th following cell to allow us to import from the `.py` files of this assignment. If it works correctly, it should print the message:\\n\",\"\\n\",\"```\\n\",\"Hello from style_transfer.py!\\n\",\"```\\n\",\"\\n\",\"as well as the last edit time for the file `style_transfer.py`.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"EYWkIslOeqYY\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1617551052928,\"user_tz\":-60,\"elapsed\":2116,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"98e25c8e-9536-4de5-81a6-5387bd9b7912\"},\"source\":[\"import sys\\n\",\"sys.path.append(GOOGLE_DRIVE_PATH)\\n\",\"\\n\",\"import time, os\\n\",\"os.environ[\\\"TZ\\\"] = \\\"US/Eastern\\\"\\n\",\"time.tzset()\\n\",\"\\n\",\"from style_transfer import *\\n\",\"from a4_helper import *\\n\",\"hello()\\n\",\"\\n\",\"py_path = os.path.join(GOOGLE_DRIVE_PATH, 'style_transfer.py')\\n\",\"py_edit_time = time.ctime(os.path.getmtime(py_path))\\n\",\"print('style_transfer.py last edited on %s' % py_edit_time)\"],\"execution_count\":4,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Hello from style_transfer.py!\\n\",\"style_transfer.py last edited on Sun Apr  4 11:42:25 2021\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"MzqbYcKdz6ew\"},\"source\":[\"### Load Packages\\n\",\"\\n\",\"Run some setup code for this notebook: Import some useful packages and increase the default figure size.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"q53DlMXboP-T\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1617551052929,\"user_tz\":-60,\"elapsed\":2109,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}}},\"source\":[\"import torch\\n\",\"import torch.nn as nn\\n\",\"import torchvision\\n\",\"import PIL\\n\",\"import numpy as np\\n\",\"from eecs598.grad import rel_error\\n\",\"import matplotlib.pyplot as plt\\n\",\"\\n\",\"plt.rcParams['figure.figsize'] = (10.0, 8.0) # set default size of plots\\n\",\"plt.rcParams['image.interpolation'] = 'nearest'\\n\",\"plt.rcParams['image.cmap'] = 'gray'\\n\",\"\\n\",\"%matplotlib inline\"],\"execution_count\":5,\"outputs\":[]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"OvUDZWGU3VLV\"},\"source\":[\"We will use GPUs to accelerate our computation in this notebook. Run the following to make sure GPUs are enabled:\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"RrAX9FOLpr9k\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1617551052930,\"user_tz\":-60,\"elapsed\":2103,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"c7696566-6880-41b5-9bf4-ddfcdf4be0cb\"},\"source\":[\"if torch.cuda.is_available:\\n\",\"  print('Good to go!')\\n\",\"else:\\n\",\"  print('Please set GPU via Edit -> Notebook Settings.')\\n\",\"to_float_cuda = torch.cuda.FloatTensor \"],\"execution_count\":6,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Good to go!\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"bqm8POJCfC6B\",\"tags\":[\"pdf-ignore\"]},\"source\":[\"### Data Setup\\n\",\"\\n\",\"Download a few style images and answer checking files. Perform checks for package compatibility with this notebook.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"MJUD1pR-ffdO\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1617551052931,\"user_tz\":-60,\"elapsed\":2096,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"8a42e604-014f-481c-e803-6c7144032cee\"},\"source\":[\"# download imagenet_val\\n\",\"if os.path.isdir('styles'):\\n\",\"  print('Style images exist')\\n\",\"else:\\n\",\"  print('downloading Style images')\\n\",\"  !wget http://web.eecs.umich.edu/~justincj/teaching/eecs498/a4_styles.zip\\n\",\"  !unzip a4_styles.zip && rm a4_styles.zip\\n\",\"\\n\",\"\\n\",\"check_scipy()\\n\",\"answers = dict(np.load('style-transfer-checks.npz'))\"],\"execution_count\":7,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Style images exist\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"QvNe7g__cXKQ\"},\"source\":[\"### Backbone Setup\\n\",\"\\n\",\"Load a pre-trained backbone model to extract features.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"ybJ18imQfC6N\",\"tags\":[\"pdf-ignore\"],\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1617551055570,\"user_tz\":-60,\"elapsed\":4724,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}}},\"source\":[\"# Load the pre-trained SqueezeNet model.\\n\",\"cnn = torchvision.models.squeezenet1_1(pretrained=True).features\\n\",\"cnn.type(to_float_cuda)\\n\",\"\\n\",\"# We don't want to train the model any further, so we don't want PyTorch to waste computation \\n\",\"# computing gradients on parameters we're never going to update.\\n\",\"for param in cnn.parameters():\\n\",\"    param.requires_grad = False\\n\",\"\\n\",\"# We provide this helper code which takes an image, a model (cnn), and returns a list of\\n\",\"# feature maps, one per layer.\\n\",\"def extract_features(x, cnn):\\n\",\"    \\\"\\\"\\\"\\n\",\"    Use the CNN to extract features from the input image x.\\n\",\"    \\n\",\"    Inputs:\\n\",\"    - x: A PyTorch Tensor of shape (N, C, H, W) holding a minibatch of images that\\n\",\"      will be fed to the CNN.\\n\",\"    - cnn: A PyTorch model that we will use to extract features.\\n\",\"    \\n\",\"    Returns:\\n\",\"    - features: A list of feature for the input images x extracted using the cnn model.\\n\",\"      features[i] is a PyTorch Tensor of shape (N, C_i, H_i, W_i); recall that features\\n\",\"      from different layers of the network may have different numbers of channels (C_i) and\\n\",\"      spatial dimensions (H_i, W_i).\\n\",\"    \\\"\\\"\\\"\\n\",\"    features = []\\n\",\"    prev_feat = x\\n\",\"    for i, module in enumerate(cnn._modules.values()):\\n\",\"        next_feat = module(prev_feat)\\n\",\"        features.append(next_feat)\\n\",\"        prev_feat = next_feat\\n\",\"    return features\\n\",\"\\n\",\"\\n\",\"def features_from_img(imgpath, imgsize):\\n\",\"    img = preprocess(PIL.Image.open(imgpath), size=imgsize)\\n\",\"    img_var = img.type(to_float_cuda)\\n\",\"    return extract_features(img_var, cnn), img_var\\n\",\"\\n\",\"\\n\",\"#please disregard warnings about initialization\"],\"execution_count\":8,\"outputs\":[]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"0uIu-Kq2fC6Q\"},\"source\":[\"## Computing Loss\\n\",\"\\n\",\"We're going to compute the three components of our loss function now. The loss function is a weighted sum of three terms: content loss + style loss + total variation loss. You'll fill in the functions that compute these weighted terms below.\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"c6-FM3KnfC6R\",\"tags\":[\"pdf-ignore\"]},\"source\":[\"## Content loss\\n\",\"We can generate an image that reflects the content of one image and the style of another by incorporating both in our loss function. We want to penalize deviations from the content of the content image and deviations from the style of the style image. We can then use this hybrid loss function to perform gradient descent **not on the parameters** of the model, but instead **on the pixel values** of our original image.\\n\",\"\\n\",\"Let's first write the content loss function. Content loss measures how much the feature map of the generated image differs from the feature map of the source image. We only care about the content representation of one layer of the network (say, layer $\\\\ell$), that has feature maps $A^\\\\ell \\\\in \\\\mathbb{R}^{1 \\\\times C_\\\\ell \\\\times H_\\\\ell \\\\times W_\\\\ell}$. $C_\\\\ell$ is the number of filters/channels in layer $\\\\ell$, $H_\\\\ell$ and $W_\\\\ell$ are the height and width. We will work with reshaped versions of these feature maps that combine all spatial positions into one dimension. Let $F^\\\\ell \\\\in \\\\mathbb{R}^{C_\\\\ell \\\\times M_\\\\ell}$ be the feature map for the current image and $P^\\\\ell \\\\in \\\\mathbb{R}^{C_\\\\ell \\\\times M_\\\\ell}$ be the feature map for the content source image where $M_\\\\ell=H_\\\\ell\\\\times W_\\\\ell$ is the number of elements in each feature map. Each row of $F^\\\\ell$ or $P^\\\\ell$ represents the vectorized activations of a particular filter, convolved over all positions of the image. Finally, let $w_c$ be the weight of the content loss term in the loss function.\\n\",\"\\n\",\"Then the content loss is given by:\\n\",\"\\n\",\"$L_c = w_c \\\\times \\\\sum_{i,j} (F_{ij}^{\\\\ell} - P_{ij}^{\\\\ell})^2$\\n\",\"\\n\",\"Implement the `content_loss` and run the cell below to test it. You should see errors less than 0.001.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"fBpKLcKMfC6V\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1617551055575,\"user_tz\":-60,\"elapsed\":4718,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"ba2a956b-7270-4468-a885-3e1181d44096\"},\"source\":[\"def content_loss_test(correct):\\n\",\"    content_image = 'styles/tubingen.jpg'\\n\",\"    image_size =  192\\n\",\"    content_layer = 3\\n\",\"    content_weight = 6e-2\\n\",\"    \\n\",\"    c_feats, content_img_var = features_from_img(content_image, image_size)\\n\",\"    \\n\",\"    bad_img = torch.zeros(*content_img_var.data.size()).type(to_float_cuda)\\n\",\"    feats = extract_features(bad_img, cnn)\\n\",\"    \\n\",\"    # YOUR_TURN: Impelement the content_loss function\\n\",\"    student_output = content_loss(content_weight, c_feats[content_layer], feats[content_layer])\\n\",\"\\n\",\"    error = rel_error(correct, student_output)\\n\",\"    print('Maximum error is {:.3f}'.format(error))\\n\",\"\\n\",\"content_loss_test(torch.from_numpy(answers['cl_out']).type(to_float_cuda))\"],\"execution_count\":9,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Maximum error is 0.000\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"0ld7SAfmfC6Z\"},\"source\":[\"## Style loss\\n\",\"Now we can tackle the style loss. For a given layer $\\\\ell$, the style loss is defined as follows:\\n\",\"\\n\",\"First, compute the Gram matrix G which represents the correlations between the responses of each filter, where F is as above. The Gram matrix is an approximation to the covariance matrix -- we want the activation statistics of our generated image to match the activation statistics of our style image, and matching the (approximate) covariance is one way to do that. There are a variety of ways you could do this, but the Gram matrix is nice because it's easy to compute and in practice shows good results.\\n\",\"\\n\",\"Given a feature map $F^\\\\ell$ of shape $(C_\\\\ell, M_\\\\ell)$, the Gram matrix has shape $(C_\\\\ell, C_\\\\ell)$ and its elements are given by:\\n\",\"\\n\",\"$$G_{ij}^\\\\ell  = \\\\sum_k F^{\\\\ell}_{ik} F^{\\\\ell}_{jk}$$\\n\",\"\\n\",\"Assuming $G^\\\\ell$ is the Gram matrix from the feature map of the current image, $A^\\\\ell$ is the Gram Matrix from the feature map of the source style image, and $w_\\\\ell$ a scalar weight term, then the style loss for the layer $\\\\ell$ is simply the weighted Euclidean distance between the two Gram matrices:\\n\",\"\\n\",\"$$L_s^\\\\ell = w_\\\\ell \\\\sum_{i, j} \\\\left(G^\\\\ell_{ij} - A^\\\\ell_{ij}\\\\right)^2$$\\n\",\"\\n\",\"In practice we usually compute the style loss at a set of layers $\\\\mathcal{L}$ rather than just a single layer $\\\\ell$; then the total style loss is the sum of style losses at each layer:\\n\",\"\\n\",\"$$L_s = \\\\sum_{\\\\ell \\\\in \\\\mathcal{L}} L_s^\\\\ell$$\\n\",\"\\n\",\"Begin by implementing `gram_matrix` and run the cell below to test it. You should see errors less than 0.001.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"P0bSzc7ofC6d\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1617551055575,\"user_tz\":-60,\"elapsed\":4710,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"62472248-1c5e-466d-ed9f-abbbad698815\"},\"source\":[\"def gram_matrix_test(correct):\\n\",\"    style_image = 'styles/starry_night.jpg'\\n\",\"    style_size = 192\\n\",\"    feats, _ = features_from_img(style_image, style_size)\\n\",\"    # YOUR_TURN: Impelement the gram_matrix function\\n\",\"    student_output = gram_matrix(feats[5].clone())\\n\",\"    error = rel_error(correct, student_output)\\n\",\"    print('Maximum error is {:.3f}'.format(error))\\n\",\"\\n\",\"gram_matrix_test(torch.from_numpy(answers['gm_out']).type(to_float_cuda))\"],\"execution_count\":10,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Maximum error is 0.000\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"-lYLy1k7fC6l\"},\"source\":[\"Next, implement the `style_loss` and run the cell below to test it. The error should be less than 0.001.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"Rl3GvublfC6m\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1617551055576,\"user_tz\":-60,\"elapsed\":4703,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"6667db9a-373a-45e9-fc8f-7f7f16019b1e\"},\"source\":[\"def style_loss_test(correct):\\n\",\"    content_image = 'styles/tubingen.jpg'\\n\",\"    style_image = 'styles/starry_night.jpg'\\n\",\"    image_size =  192\\n\",\"    style_size = 192\\n\",\"    style_layers = [1, 4, 6, 7]\\n\",\"    style_weights = [300000, 1000, 15, 3]\\n\",\"    \\n\",\"    c_feats, _ = features_from_img(content_image, image_size)    \\n\",\"    feats, _ = features_from_img(style_image, style_size)\\n\",\"    style_targets = []\\n\",\"    for idx in style_layers:\\n\",\"        style_targets.append(gram_matrix(feats[idx].clone()))\\n\",\"    # YOUR_TURN: Impelement the style_loss function\\n\",\"    student_output = style_loss(c_feats, style_layers, style_targets, style_weights)\\n\",\"    error = rel_error(correct, student_output)\\n\",\"    print('Error is {:.3f}'.format(error))\\n\",\"\\n\",\"    \\n\",\"style_loss_test(torch.from_numpy(answers['sl_out']).type(to_float_cuda))\"],\"execution_count\":11,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Error is 0.000\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"B7jBB_XyfC6p\"},\"source\":[\"## Total-variation regularization\\n\",\"It turns out that it's helpful to also encourage smoothness in the image. We can do this by adding another term to our loss that penalizes wiggles or \\\"total variation\\\" in the pixel values. \\n\",\"\\n\",\"You can compute the \\\"total variation\\\" as the sum of the squares of differences in the pixel values for all pairs of pixels that are next to each other (horizontally or vertically). Here we sum the total-variation regualarization for each of the 3 input channels (RGB), and weight the total summed loss by the total variation weight, $w_t$:\\n\",\"\\n\",\"$L_{tv} = w_t \\\\times \\\\left(\\\\sum_{c=1}^3\\\\sum_{i=1}^{H-1}\\\\sum_{j=1}^{W} (x_{i+1,j,c} - x_{i,j,c})^2 + \\\\sum_{c=1}^3\\\\sum_{i=1}^{H}\\\\sum_{j=1}^{W - 1} (x_{i,j+1,c} - x_{i,j,c})^2\\\\right)$\\n\",\"\\n\",\"Now, implement the `tv_loss` and test it. Error should be less than 0.0001. To receive full credit, your implementation should not have any loops.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"KvBkaVFTfC6x\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1617551055576,\"user_tz\":-60,\"elapsed\":4694,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"bafcc566-d145-46b3-9526-7f6b1ddb4dab\"},\"source\":[\"def tv_loss_test(correct):\\n\",\"    content_image = 'styles/tubingen.jpg'\\n\",\"    image_size =  192\\n\",\"    tv_weight = 2e-2\\n\",\"\\n\",\"    content_img = preprocess(PIL.Image.open(content_image), size=image_size).type(to_float_cuda)\\n\",\"    \\n\",\"    student_output = tv_loss(content_img, tv_weight)\\n\",\"    error = rel_error(correct, student_output)\\n\",\"    print('Error is {:.3f}'.format(error))\\n\",\"    \\n\",\"tv_loss_test(torch.from_numpy(answers['tv_out']).type(to_float_cuda))\"],\"execution_count\":12,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Error is 0.000\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"pgwte9i5fC61\"},\"source\":[\"Now we're ready to string it all together (you shouldn't have to modify this function):\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"KPvMPDVcfC61\",\"tags\":[\"pdf-ignore\"],\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1617551057170,\"user_tz\":-60,\"elapsed\":6280,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}}},\"source\":[\"def style_transfer(content_image, style_image, image_size, style_size, content_layer, content_weight,\\n\",\"                   style_layers, style_weights, tv_weight, init_random = False, save_image=False, result_filename=None):\\n\",\"    \\\"\\\"\\\"\\n\",\"    Run style transfer!\\n\",\"    \\n\",\"    Inputs:\\n\",\"    - content_image: filename of content image\\n\",\"    - style_image: filename of style image\\n\",\"    - image_size: size of smallest image dimension (used for content loss and generated image)\\n\",\"    - style_size: size of smallest style image dimension\\n\",\"    - content_layer: layer to use for content loss\\n\",\"    - content_weight: weighting on content loss\\n\",\"    - style_layers: list of layers to use for style loss\\n\",\"    - style_weights: list of weights to use for each layer in style_layers\\n\",\"    - tv_weight: weight of total variation regularization term\\n\",\"    - init_random: initialize the starting image to uniform random noise\\n\",\"    - save_image: boolean flag for saving the image\\n\",\"    \\\"\\\"\\\"\\n\",\"    \\n\",\"    # Extract features for the content image\\n\",\"    content_img = preprocess(PIL.Image.open(content_image), size=image_size).type(to_float_cuda)\\n\",\"    feats = extract_features(content_img, cnn)\\n\",\"    content_target = feats[content_layer].clone()\\n\",\"\\n\",\"    # Extract features for the style image\\n\",\"    style_img = preprocess(PIL.Image.open(style_image), size=style_size).type(to_float_cuda)\\n\",\"    feats = extract_features(style_img, cnn)\\n\",\"    style_targets = []\\n\",\"    for idx in style_layers:\\n\",\"        style_targets.append(gram_matrix(feats[idx].clone()))\\n\",\"\\n\",\"    # Initialize output image to content image or nois\\n\",\"    if init_random:\\n\",\"        img = torch.Tensor(content_img.size()).uniform_(0, 1).type(to_float_cuda)\\n\",\"    else:\\n\",\"        img = content_img.clone().type(to_float_cuda)\\n\",\"\\n\",\"    # We do want the gradient computed on our image!\\n\",\"    img.requires_grad_()\\n\",\"    \\n\",\"    # Set up optimization hyperparameters\\n\",\"    initial_lr = 3.0\\n\",\"    decayed_lr = 0.1\\n\",\"    decay_lr_at = 180\\n\",\"\\n\",\"    # Note that we are optimizing the pixel values of the image by passing\\n\",\"    # in the img Torch tensor, whose requires_grad flag is set to True\\n\",\"    optimizer = torch.optim.Adam([img], lr=initial_lr)\\n\",\"    \\n\",\"    f, axarr = plt.subplots(1,2)\\n\",\"    axarr[0].axis('off')\\n\",\"    axarr[1].axis('off')\\n\",\"    axarr[0].set_title('Content Source Img.')\\n\",\"    axarr[1].set_title('Style Source Img.')\\n\",\"    axarr[0].imshow(deprocess(content_img.cpu()))\\n\",\"    axarr[1].imshow(deprocess(style_img.cpu()))\\n\",\"    plt.show()\\n\",\"    plt.figure()\\n\",\"    \\n\",\"    for t in range(200):\\n\",\"        if t < 190:\\n\",\"            img.data.clamp_(-1.5, 1.5)\\n\",\"        optimizer.zero_grad()\\n\",\"\\n\",\"        feats = extract_features(img, cnn)\\n\",\"        \\n\",\"        # Compute loss\\n\",\"        c_loss = content_loss(content_weight, feats[content_layer], content_target)\\n\",\"        s_loss = style_loss(feats, style_layers, style_targets, style_weights)\\n\",\"        t_loss = tv_loss(img, tv_weight) \\n\",\"        loss = c_loss + s_loss + t_loss\\n\",\"        \\n\",\"        loss.backward()\\n\",\"\\n\",\"        # Perform gradient descents on our image values\\n\",\"        if t == decay_lr_at:\\n\",\"            optimizer = torch.optim.Adam([img], lr=decayed_lr)\\n\",\"        optimizer.step()\\n\",\"\\n\",\"        if t % 100 == 0:\\n\",\"            print('Iteration {}'.format(t))\\n\",\"            plt.axis('off')\\n\",\"            plt.imshow(deprocess(img.data.cpu()))\\n\",\"            plt.show()\\n\",\"    print('Iteration {}'.format(t))\\n\",\"    plt.axis('off')\\n\",\"    plt.imshow(deprocess(img.data.cpu()))\\n\",\"    if save_image:\\n\",\"      plt.savefig(os.path.join(GOOGLE_DRIVE_PATH,result_filename))\\n\",\"    plt.show() \"],\"execution_count\":13,\"outputs\":[]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"6u28v-BVfC64\"},\"source\":[\"## Generate some pretty pictures!\\n\",\"\\n\",\"Try out `style_transfer` on the three different parameter sets below. Make sure to run all three cells. Feel free to add your own, but make sure to include the results of style transfer on the third parameter set (starry night) in your submitted notebook.\\n\",\"\\n\",\"* The `content_image` is the filename of content image.\\n\",\"* The `style_image` is the filename of style image.\\n\",\"* The `image_size` is the size of smallest image dimension of the content image (used for content loss and generated image).\\n\",\"* The `style_size` is the size of smallest style image dimension.\\n\",\"* The `content_layer` specifies which layer to use for content loss.\\n\",\"* The `content_weight` gives weighting on content loss in the overall loss function. Increasing the value of this parameter will make the final image look more realistic (closer to the original content).\\n\",\"* `style_layers` specifies a list of which layers to use for style loss. \\n\",\"* `style_weights` specifies a list of weights to use for each layer in style_layers (each of which will contribute a term to the overall style loss). We generally use higher weights for the earlier style layers because they describe more local/smaller scale features, which are more important to texture than features over larger receptive fields. In general, increasing these weights will make the resulting image look less like the original content and more distorted towards the appearance of the style image.\\n\",\"* `tv_weight` specifies the weighting of total variation regularization in the overall loss function. Increasing this value makes the resulting image look smoother and less jagged, at the cost of lower fidelity to style and content. \\n\",\"\\n\",\"Below the next three cells of code (in which you shouldn't change the hyperparameters), feel free to copy and paste the parameters to play around them and see how the resulting image changes. You will be submitting the style transfer result from the first test for evaluation. Final image will be saved and zipped automatically.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"uzvvWwKYfC64\",\"colab\":{\"base_uri\":\"https://localhost:8080/\",\"height\":904},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1617551060572,\"user_tz\":-60,\"elapsed\":9680,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"eba8a70a-f12a-4c0e-ba35-0f3dff6251fc\"},\"source\":[\"# Composition VII + Tubingen\\n\",\"params1 = {\\n\",\"    'content_image' : 'styles/tubingen.jpg',\\n\",\"    'style_image' : 'styles/composition_vii.jpg',\\n\",\"    'image_size' : 192,\\n\",\"    'style_size' : 512,\\n\",\"    'content_layer' : 3,\\n\",\"    'content_weight' : 5e-2, \\n\",\"    'style_layers' : (1, 4, 6, 7),\\n\",\"    'style_weights' : (20000, 500, 12, 1),\\n\",\"    'tv_weight' : 5e-2,\\n\",\"    'save_image' : True,\\n\",\"    'result_filename' : 'style_transfer_result.jpg'\\n\",\"}\\n\",\"\\n\",\"style_transfer(**params1)\"],\"execution_count\":14,\"outputs\":[{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 432x288 with 2 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"Iteration 0\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 432x288 with 1 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"Iteration 100\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 432x288 with 1 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"Iteration 199\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 432x288 with 1 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}}]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"sBUin4IdfC67\",\"colab\":{\"base_uri\":\"https://localhost:8080/\",\"height\":984},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1617551064584,\"user_tz\":-60,\"elapsed\":13690,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"357a6f8e-3c98-4daa-8394-0525e4154e15\"},\"source\":[\"# Scream + Tubingen\\n\",\"params2 = {\\n\",\"    'content_image':'styles/tubingen.jpg',\\n\",\"    'style_image':'styles/the_scream.jpg',\\n\",\"    'image_size':192,\\n\",\"    'style_size':224,\\n\",\"    'content_layer':3,\\n\",\"    'content_weight':3e-2,\\n\",\"    'style_layers':[1, 4, 6, 7],\\n\",\"    'style_weights':[200000, 800, 12, 1],\\n\",\"    'tv_weight':2e-2,\\n\",\"    'save_image' : False\\n\",\"}\\n\",\"\\n\",\"style_transfer(**params2)\"],\"execution_count\":15,\"outputs\":[{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 432x288 with 2 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"Iteration 0\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 432x288 with 1 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"Iteration 100\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 432x288 with 1 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"Iteration 199\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 432x288 with 1 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}}]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"LbAsG4bAfC69\",\"colab\":{\"base_uri\":\"https://localhost:8080/\",\"height\":911},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1617551067853,\"user_tz\":-60,\"elapsed\":16957,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"4e31d7cd-a361-45a5-c004-e24337c6b16c\"},\"source\":[\"# Starry Night + Tubingen\\n\",\"params3 = {\\n\",\"    'content_image' : 'styles/tubingen.jpg',\\n\",\"    'style_image' : 'styles/starry_night.jpg',\\n\",\"    'image_size' : 192,\\n\",\"    'style_size' : 192,\\n\",\"    'content_layer' : 3,\\n\",\"    'content_weight' : 6e-2,\\n\",\"    'style_layers' : [1, 4, 6, 7],\\n\",\"    'style_weights' : [300000, 1000, 15, 3],\\n\",\"    'tv_weight' : 2e-2,\\n\",\"    'save_image' : False\\n\",\"}\\n\",\"\\n\",\"style_transfer(**params3)\"],\"execution_count\":16,\"outputs\":[{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 432x288 with 2 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"Iteration 0\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 432x288 with 1 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"Iteration 100\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 432x288 with 1 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"Iteration 199\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 432x288 with 1 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"STN3UWY0fC6_\",\"scrolled\":true},\"source\":[\"## Feature Inversion\\n\",\"\\n\",\"The code you've written can do another cool thing. In an attempt to understand the types of features that convolutional networks learn to recognize, a recent paper [1] attempts to reconstruct an image from its feature representation. We can easily implement this idea using image gradients from the pretrained network, which is exactly what we did above (but with two different feature representations).\\n\",\"\\n\",\"Now, if you set the style weights to all be 0 and initialize the starting image to random noise instead of the content source image, you'll reconstruct an image from the feature representation of the content source image. You're starting with total noise, but you should end up with something that looks quite a bit like your original image.\\n\",\"\\n\",\"(Similarly, you could do \\\"texture synthesis\\\" from scratch if you set the content weight to 0 and initialize the starting image to random noise, but we won't ask you to do that here.) \\n\",\"\\n\",\"Run the following cell to try out feature inversion and you will submit the result for evaluation. Final image will be saved and zipped automatically.\\n\",\"\\n\",\"[1] Aravindh Mahendran, Andrea Vedaldi, \\\"Understanding Deep Image Representations by Inverting them\\\", CVPR 2015\\n\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"BuhhqmjkfC6_\",\"colab\":{\"base_uri\":\"https://localhost:8080/\",\"height\":911},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1617551069746,\"user_tz\":-60,\"elapsed\":18848,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"6d667f2e-a0d1-44d4-c003-02b9d957cf17\"},\"source\":[\"# Feature Inversion -- Starry Night + Tubingen\\n\",\"params_inv = {\\n\",\"    'content_image' : 'styles/tubingen.jpg',\\n\",\"    'style_image' : 'styles/starry_night.jpg',\\n\",\"    'image_size' : 192,\\n\",\"    'style_size' : 192,\\n\",\"    'content_layer' : 3,\\n\",\"    'content_weight' : 6e-2,\\n\",\"    'style_layers' : [1, 4, 6, 7],\\n\",\"    'style_weights' : [0, 0, 0, 0], # we discard any contributions from style to the loss\\n\",\"    'tv_weight' : 2e-2,\\n\",\"    'init_random': True, # we want to initialize our image to be random\\n\",\"    'save_image' : True,\\n\",\"    'result_filename' : 'feature_inversion_result.jpg'\\n\",\"}\\n\",\"\\n\",\"style_transfer(**params_inv)\"],\"execution_count\":17,\"outputs\":[{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 432x288 with 2 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"Iteration 0\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 432x288 with 1 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"Iteration 100\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 432x288 with 1 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"Iteration 199\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 432x288 with 1 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"Rn1MxkeeuVLn\"},\"source\":[\"# Final checks\\n\",\"Make sure you run \\\"Runtime -> Restart and run all...\\\" to double check Style Transfer before submitting.\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"FkwitYo42QFr\"},\"source\":[\"# Submit Your Work\\n\",\"\\n\",\"After completing all the notebooks for this assignment, run the following cell to create a .zip file for you to download and turn in. Please MANUALLY SAVE every *.ipynb and *.py files before executing the following cell:\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"UutkSuTgxAXG\"},\"source\":[\"from eecs598.submit import make_a4_submission\\n\",\"\\n\",\"# TODO: Replace these with your actual uniquename and umid\\n\",\"uniquename = 'BENAMARA'\\n\",\"umid = 'NOid'\\n\",\"make_a4_submission(GOOGLE_DRIVE_PATH, uniquename, umid)\"],\"execution_count\":null,\"outputs\":[]}]}"
  },
  {
    "path": "eecs498-007/A4/style_transfer.py",
    "content": "\"\"\"\nImplements a style transfer in PyTorch.\nWARNING: you SHOULD NOT use \".to()\" or \".cuda()\" in each implementation block.\n\"\"\"\n\nimport torch\nimport torch.nn as nn\nfrom a4_helper import *\n\ndef hello():\n  \"\"\"\n  This is a sample function that we will try to import and run to ensure that\n  our environment is correctly set up on Google Colab.\n  \"\"\"\n  print('Hello from style_transfer.py!')\n\ndef content_loss(content_weight, content_current, content_original):\n    \"\"\"\n    Compute the content loss for style transfer.\n    \n    Inputs:\n    - content_weight: Scalar giving the weighting for the content loss.\n    - content_current: features of the current image; this is a PyTorch Tensor of shape\n      (1, C_l, H_l, W_l).\n    - content_target: features of the content image, Tensor with shape (1, C_l, H_l, W_l).\n    \n    Returns:\n    - scalar content loss\n    \"\"\"\n    ##############################################################################\n    # TODO: Compute the content loss for style transfer.                         #\n    ##############################################################################\n    # Replace \"pass\" statement with your code\n\n    # Sum of the squared difference of current/original feature maps.\n    sum_fm = torch.sum((content_current - content_original) ** 2)\n    # Compute the content loss.\n    loss = content_weight * sum_fm\n\n    return loss\n\n    ##############################################################################\n    #                               END OF YOUR CODE                             #\n    ##############################################################################\n\n\ndef gram_matrix(features, normalize=True):\n    \"\"\"\n    Compute the Gram matrix from features.\n    \n    Inputs:\n    - features: PyTorch Tensor of shape (N, C, H, W) giving features for\n      a batch of N images.\n    - normalize: optional, whether to normalize the Gram matrix\n        If True, divide the Gram matrix by the number of neurons (H * W * C)\n    \n    Returns:\n    - gram: PyTorch Tensor of shape (N, C, C) giving the\n      (optionally normalized) Gram matrices for the N input images.\n    \"\"\"\n    gram = None\n    ##############################################################################\n    # TODO: Compute the Gram matrix from features.                               #\n    # Don't forget to implement for both normalized and non-normalized version   #\n    ##############################################################################\n    # Replace \"pass\" statement with your code\n\n    N, C, H, W = features.shape\n\n    # Reshape \"features\" to (N, C, M), where M=H*W.\n    rfeatures = features.view(N, C, H*W)\n    # Transpose the last two axes of the \"reshaped features\".\n    # \"trfeatures\" shape is (N, M, C)\n    # This is needed to apply the \"matmul\" operator below.\n    trfeatures = torch.transpose(rfeatures, 1, 2)\n\n    # Apply the \"matmul\" operator, which computes the \"dot product\"\n    # of the last two axes (which must be linear).\n    # Shapes: (N, C, M) @ (N, M, C) -> (N, C, C)\n    gram = rfeatures @ trfeatures\n\n    # Optionally, normalize the Gram matrix.\n    if normalize:\n      gram /= (H * W * C)\n\n    ##############################################################################\n    #                               END OF YOUR CODE                             #\n    ##############################################################################\n    return gram\n\n\ndef style_loss(feats, style_layers, style_targets, style_weights):\n    \"\"\"\n    Computes the style loss at a set of layers.\n    \n    Inputs:\n    - feats: list of the features at every layer of the current image, as produced by\n      the extract_features function.\n    - style_layers: List of layer indices into feats giving the layers to include in the\n      style loss.\n    - style_targets: List of the same length as style_layers, where style_targets[i] is\n      a PyTorch Tensor giving the Gram matrix of the source style image computed at\n      layer style_layers[i].\n    - style_weights: List of the same length as style_layers, where style_weights[i]\n      is a scalar giving the weight for the style loss at layer style_layers[i].\n      \n    Returns:\n    - style_loss: A PyTorch Tensor holding a scalar giving the style loss.\n    \"\"\"\n    ##############################################################################\n    # TODO: Computes the style loss at a set of layers.                          #\n    # Hint: you can do this with one for loop over the style layers, and should  #\n    # not be very much code (~5 lines).                                          #\n    # You will need to use your gram_matrix function.                            #\n    ##############################################################################\n    # Replace \"pass\" statement with your code\n\n    # Initialize the \"loss\".\n    loss = 0.0\n\n    # Loop over \"style_layers\", track the \"layer index\" (li) and its \"index\" (idx).\n    for idx, li in enumerate(style_layers):\n      # Compute the Gram matrix of \"features\" in the current layer index.\n      current_gm = gram_matrix(feats[li])\n      # Compute the current layer \"style loss\".\n      curr_loss = style_weights[idx] * \\\n                  torch.sum((current_gm - style_targets[idx]) ** 2)\n      # Add the computed \"style loss\" to \"loss\".\n      loss += curr_loss\n\n    return loss\n\n    ##############################################################################\n    #                               END OF YOUR CODE                             #\n    ##############################################################################\n\n\ndef tv_loss(img, tv_weight):\n    \"\"\"\n    Compute total variation loss.\n    \n    Inputs:\n    - img: PyTorch Variable of shape (1, 3, H, W) holding an input image.\n    - tv_weight: Scalar giving the weight w_t to use for the TV loss.\n    \n    Returns:\n    - loss: PyTorch Variable holding a scalar giving the total variation loss\n      for img weighted by tv_weight.\n    \"\"\"\n    ##############################################################################\n    # TODO: Compute total variation loss.                                        #\n    # Your implementation should be vectorized and not require any loops!        #\n    ##############################################################################\n    # Replace \"pass\" statement with your code\n\n    # Sum through the height.\n    sumh = torch.sum((img[..., 1:, :] - img[..., :-1, :]) ** 2)\n    # Sum through the width.\n    sumw = torch.sum((img[..., 1:] - img[..., :-1]) ** 2)\n    # Compute the loss.\n    loss = tv_weight * (sumh + sumw)\n\n    return loss\n\n    ##############################################################################\n    #                               END OF YOUR CODE                             #\n    ##############################################################################"
  },
  {
    "path": "eecs498-007/A5/README.md",
    "content": "<div>\r\n  <h2 align=\"center\"><a href=\"https://web.eecs.umich.edu/~justincj/teaching/eecs498/\">EECS 498-007 / 598-005: Deep Learning for Computer Vision</a></h2>\r\n  <h2 align=\"center\"><a href=\"https://web.eecs.umich.edu/~justincj/teaching/eecs498/FA2020/assignment5.html\">Assignment 5 (2020)</a></h3>\r\n</div>\r\n\r\n# Goals\r\n\r\nIn this assignment you will implement two different object detection systems.\r\n\r\nThe goals of this assignment are:\r\n\r\n- Learn about the object detection pipeline.\r\n- Understand how to build an anchor-based single-stage object detectors.\r\n- Understand how to build a two-stage object detector that combines a region proposal network with a recognition network.\r\n\r\n# Questions\r\n\r\n## Q1: Single-Stage Detector\r\n\r\nThe notebook [``single_stage_detector_yolo.ipynb``](single_stage_detector_yolo.ipynb) will walk you through the implementation of a fully-convolutional single-stage object detector similar to YOLO (Redmon et al, CVPR 2016). You will train and evaluate your detector on the [PASCAL VOC 2007](http://host.robots.ox.ac.uk/pascal/VOC/voc2007/index.html) object detection dataset.\r\n\r\n## Q2: Two-Stage Detector\r\n\r\nThe notebook [``two_stage_detector_faster_rcnn.ipynb``](two_stage_detector_faster_rcnn.ipynb) will walk you through the implementation of a two-stage object detector similar to Faster R-CNN (Ren et al, NeurIPS 2015). This will combine a fully-convolutional Region Proposal Network (RPN) and a second-stage recognition network.\r\n"
  },
  {
    "path": "eecs498-007/A5/a5_helper.py",
    "content": "import torch\nimport time\nimport math\nimport os\nimport shutil\nimport torch.optim as optim\nfrom torchvision import models, datasets, transforms\nfrom torch.utils.data import DataLoader\nfrom torchsummary import summary\nimport matplotlib.pyplot as plt\nimport eecs598\n\n\ndef hello_helper():\n    print(\"Hello from a5_helper.py!\")\n\n\n# --- Pascal Classes --- \nclass_to_idx = {'aeroplane':0, 'bicycle':1, 'bird':2, 'boat':3, 'bottle':4,\n                'bus':5, 'car':6, 'cat':7, 'chair':8, 'cow':9, 'diningtable':10,\n                'dog':11, 'horse':12, 'motorbike':13, 'person':14, 'pottedplant':15,\n                'sheep':16, 'sofa':17, 'train':18, 'tvmonitor':19\n}\nidx_to_class = {i:c for c, i in class_to_idx.items()}\n\ndef get_pascal_voc2007_data(image_root, split='train'):\n  \"\"\"\n  Use torchvision.datasets\n  https://pytorch.org/docs/stable/torchvision/datasets.html#torchvision.datasets.VOCDetection\n  \"\"\"\n  check_file = os.path.join(image_root, \"extracted.txt\")\n  download = not os.path.exists(check_file)\n\n  train_dataset = datasets.VOCDetection(image_root, year='2007', image_set=split,\n                                    download=download)\n\n  open(check_file, 'a').close()\n  return train_dataset\n\n\ndef pascal_voc2007_loader(dataset, batch_size, num_workers=0):\n  \"\"\"\n  Data loader for Pascal VOC 2007.\n  https://pytorch.org/docs/stable/data.html#torch.utils.data.DataLoader\n  \"\"\"\n  # turn off shuffle so we can index the original image\n  train_loader = DataLoader(dataset,\n                            batch_size=batch_size,\n                            shuffle=False, pin_memory=True,\n                            num_workers=num_workers,\n                            collate_fn=voc_collate_fn)\n  return train_loader\n\n\ndef voc_collate_fn(batch_lst, reshape_size=224):\n    preprocess = transforms.Compose([\n      transforms.Resize((reshape_size, reshape_size)),\n      transforms.ToTensor(),\n      transforms.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225]),\n      ])\n    \n    batch_size = len(batch_lst)\n    \n    img_batch = torch.zeros(batch_size, 3, reshape_size, reshape_size)\n    \n    max_num_box = max(len(batch_lst[i][1]['annotation']['object']) \\\n                      for i in range(batch_size))\n\n    box_batch = torch.Tensor(batch_size, max_num_box, 5).fill_(-1.)\n    w_list = []\n    h_list = []\n    img_id_list = []\n    \n    for i in range(batch_size):\n      img, ann = batch_lst[i]\n      w_list.append(img.size[0]) # image width\n      h_list.append(img.size[1]) # image height\n      img_id_list.append(ann['annotation']['filename'])\n      img_batch[i] = preprocess(img)\n      all_bbox = ann['annotation']['object']\n      if type(all_bbox) == dict: # inconsistency in the annotation file\n        all_bbox = [all_bbox]\n      for bbox_idx, one_bbox in enumerate(all_bbox):\n        bbox = one_bbox['bndbox']\n        obj_cls = one_bbox['name']\n        box_batch[i][bbox_idx] = torch.Tensor([float(bbox['xmin']), float(bbox['ymin']),\n          float(bbox['xmax']), float(bbox['ymax']), class_to_idx[obj_cls]])\n    \n    h_batch = torch.tensor(h_list)\n    w_batch = torch.tensor(w_list)\n\n    return img_batch, box_batch, w_batch, h_batch, img_id_list\n\ndef coord_trans(bbox, w_pixel, h_pixel, w_amap=7, h_amap=7, mode='a2p'):\n  \"\"\"\n  Coordinate transformation function. It converts the box coordinate from\n  the image coordinate system to the activation map coordinate system and vice versa.\n  In our case, the input image will have a few hundred of pixels in\n  width/height while the activation map is of size 7x7.\n\n  Input:\n  - bbox: Could be either bbox, anchor, or proposal, of shape Bx*x4\n  - w_pixel: Number of pixels in the width side of the original image, of shape B\n  - h_pixel: Number of pixels in the height side of the original image, of shape B\n  - w_amap: Number of pixels in the width side of the activation map, scalar\n  - h_amap: Number of pixels in the height side of the activation map, scalar\n  - mode: Whether transfer from the original image to activation map ('p2a') or\n          the opposite ('a2p')\n\n  Output:\n  - resized_bbox: Resized box coordinates, of the same shape as the input bbox\n  \"\"\"\n\n  assert mode in ('p2a', 'a2p'), 'invalid coordinate transformation mode!'\n  assert bbox.shape[-1] >= 4, 'the transformation is applied to the first 4 values of dim -1'\n  \n  if bbox.shape[0] == 0: # corner cases\n    return bbox\n\n  resized_bbox = bbox.clone()\n  # could still work if the first dim of bbox is not batch size\n  # in that case, w_pixel and h_pixel will be scalars\n  resized_bbox = resized_bbox.view(bbox.shape[0], -1, bbox.shape[-1])\n  invalid_bbox_mask = (resized_bbox == -1) # indicating invalid bbox\n\n  if mode == 'p2a':\n    # pixel to activation\n    width_ratio = w_pixel * 1. / w_amap\n    height_ratio = h_pixel * 1. / h_amap\n    resized_bbox[:, :, [0, 2]] /= width_ratio.view(-1, 1, 1)\n    resized_bbox[:, :, [1, 3]] /= height_ratio.view(-1, 1, 1)\n  else:\n    # activation to pixel\n    width_ratio = w_pixel * 1. / w_amap\n    height_ratio = h_pixel * 1. / h_amap\n    resized_bbox[:, :, [0, 2]] *= width_ratio.view(-1, 1, 1)\n    resized_bbox[:, :, [1, 3]] *= height_ratio.view(-1, 1, 1)\n\n  resized_bbox.masked_fill_(invalid_bbox_mask, -1)\n  # resized_bbox.resize_as_(bbox)  # Commented by [BENAMARA Soufian], and added line above.\n  resized_bbox = resized_bbox.reshape(bbox.shape)\n  return resized_bbox\n\n\nclass FeatureExtractor(torch.nn.Module):\n  \"\"\"\n  Image feature extraction with MobileNet.\n  \"\"\"\n  def __init__(self, reshape_size=224, pooling=False, verbose=False):\n    super().__init__()\n\n    self.mobilenet = models.mobilenet_v2(pretrained=True)\n    self.mobilenet = torch.nn.Sequential(*list(self.mobilenet.children())[:-1]) # Remove the last classifier\n\n    # average pooling\n    if pooling:\n      self.mobilenet.add_module('LastAvgPool', nn.AvgPool2d(math.ceil(reshape_size/32.))) # input: N x 1280 x 7 x 7\n\n    for i in self.mobilenet.named_parameters():\n      i[1].requires_grad = True # fine-tune all\n\n    if verbose:\n      summary(self.mobilenet.cuda(), (3, reshape_size, reshape_size))\n  \n  def forward(self, img, verbose=False):\n    \"\"\"\n    Inputs:\n    - img: Batch of resized images, of shape Nx3x224x224\n    \n    Outputs:\n    - feat: Image feature, of shape Nx1280 (pooled) or Nx1280x7x7\n    \"\"\"\n    num_img = img.shape[0]\n    \n    img_prepro = img\n\n    feat = []\n    process_batch = 500\n    for b in range(math.ceil(num_img/process_batch)):\n      feat.append(self.mobilenet(img_prepro[b*process_batch:(b+1)*process_batch]\n                              ).squeeze(-1).squeeze(-1)) # forward and squeeze\n    feat = torch.cat(feat)\n    \n    if verbose:\n      print('Output feature shape: ', feat.shape)\n    \n    return feat\n\ndef GenerateGrid(batch_size, w_amap=7, h_amap=7, dtype=torch.float32, device='cuda'):\n  \"\"\"\n  Return a grid cell given a batch size (center coordinates).\n\n  Inputs:\n  - batch_size, B\n  - w_amap: or W', width of the activation map (number of grids in the horizontal dimension)\n  - h_amap: or H', height of the activation map (number of grids in the vertical dimension)\n  - W' and H' are always 7 in our case while w and h might vary.\n  \n  Outputs:\n  grid: A float32 tensor of shape (B, H', W', 2) giving the (x, y) coordinates\n        of the centers of each feature for a feature map of shape (B, D, H', W')\n  \"\"\"\n  w_range = torch.arange(0, w_amap, dtype=dtype, device=device) + 0.5\n  h_range = torch.arange(0, h_amap, dtype=dtype, device=device) + 0.5\n\n  w_grid_idx = w_range.unsqueeze(0).repeat(h_amap, 1)\n  h_grid_idx = h_range.unsqueeze(1).repeat(1, w_amap)\n  grid = torch.stack([w_grid_idx, h_grid_idx], dim=-1)\n  grid = grid.unsqueeze(0).repeat(batch_size, 1, 1, 1)\n\n  return grid\n\n\ndef ReferenceOnActivatedAnchors(anchors, bboxes, grid, iou_mat, pos_thresh=0.7, neg_thresh=0.3, method='FasterRCNN'):\n  \"\"\"\n  Determine the activated (positive) and negative anchors for model training.\n\n  For YOLO - A grid cell is responsible for predicting a GT box if the center of\n  the box falls into that cell.\n  Implementation details: First compute manhattan distance between grid cell centers\n  (BxH’xW’) and GT box centers (BxN). This gives us a matrix of shape Bx(H'xW')xN and\n  perform torch.min(dim=1)[1] on it gives us the indexes indicating activated grids\n  responsible for GT boxes (convert to x and y). Among all the anchors associated with\n  the activate grids, the anchor with the largest IoU with the GT box is responsible to\n  predict (regress to) the GT box.\n  Note: One anchor might match multiple GT boxes.\n\n  For Faster R-CNN - Positive anchors are defined Any of the two\n  (i) the anchor/anchors with the highest IoU overlap with a GT box, or\n  (ii) an anchor that has an IoU overlap higher than 0.7 with any GT box.\n  Note: One anchor can match at most one GT box (the one with the largest IoU overlapping).\n\n  For both - We assign a negative label to a anchor if its IoU ratio is lower than\n  a threshold value for all GT boxes. Anchors that are neither positive nor negative\n  do not contribute to the training objective.\n\n  Main steps include:\n  i) Decide activated and negative anchors based on the IoU matrix.\n  ii) Compute GT confidence score/offsets/object class on the positive proposals.\n  iii) Compute GT confidence score on the negative proposals.\n  \n  Inputs:\n  - anchors: Anchor boxes, of shape BxAxH’xW’x4\n  - bboxes: GT boxes of shape BxNx5, where N is the number of PADDED GT boxes,\n            5 indicates (x_{lr}^{gt}, y_{lr}^{gt}, x_{rb}^{gt}, y_{rb}^{gt}) and class index\n  - grid (float): A cell grid of shape BxH'xW'x2 where 2 indicate the (x, y) coord\n  - iou_mat: IoU matrix of shape Bx(AxH’xW’)xN\n  - pos_thresh: Positive threshold value\n  - neg_thresh: Negative threshold value\n  - method: Switch between 'YOLO' mode and 'FasterRCNN' mode\n  \n  Outputs:\n  - activated_anc_ind: Index on activated anchors, of shape M, where M indicates the \n                       number of activated anchors\n  - negative_anc_ind: Index on negative anchors, of shape M\n  - GT_conf_scores: GT IoU confidence scores on activated anchors, of shape M\n  - GT_offsets: GT offsets on activated anchors, of shape Mx4. They are denoted as\n                \\hat{t^x}, \\hat{t^y}, \\hat{t^w}, \\hat{t^h} in the formulation earlier.\n  - GT_class: GT class category on activated anchors, essentially indexed from bboxes[:, :, 4],\n              of shape M\n  - activated_anc_coord: Coordinates on activated anchors (mainly for visualization purposes)\n  - negative_anc_coord: Coordinates on negative anchors (mainly for visualization purposes)\n  \"\"\"\n  \n  assert(method in ['FasterRCNN', 'YOLO'])\n\n  B, A, h_amap, w_amap, _ = anchors.shape\n  N = bboxes.shape[1]\n\n  # activated/positive anchors\n  max_iou_per_anc, max_iou_per_anc_ind = iou_mat.max(dim=-1)\n  if method == 'FasterRCNN':\n    max_iou_per_box = iou_mat.max(dim=1, keepdim=True)[0]\n    activated_anc_mask = (iou_mat == max_iou_per_box) & (max_iou_per_box > 0)\n    activated_anc_mask |= (iou_mat > pos_thresh) # using the pos_thresh condition as well\n    # if an anchor matches multiple GT boxes, choose the box with the largest iou\n    activated_anc_mask = activated_anc_mask.max(dim=-1)[0] # Bx(AxH’xW’)\n    activated_anc_ind = torch.nonzero(activated_anc_mask.view(-1)).squeeze(-1)\n\n    # GT conf scores\n    GT_conf_scores = max_iou_per_anc[activated_anc_mask] # M\n\n    # GT class\n    box_cls = bboxes[:, :, 4].view(B, 1, N).expand((B, A*h_amap*w_amap, N))\n    GT_class = torch.gather(box_cls, -1, max_iou_per_anc_ind.unsqueeze(-1)).squeeze(-1) # M\n    GT_class = GT_class[activated_anc_mask].long()\n\n    bboxes_expand = bboxes[:, :, :4].view(B, 1, N, 4).expand((B, A*h_amap*w_amap, N, 4))\n    bboxes = torch.gather(bboxes_expand, -2, max_iou_per_anc_ind.unsqueeze(-1) \\\n      .unsqueeze(-1).expand(B, A*h_amap*w_amap, 1, 4)).view(-1, 4)\n    bboxes = bboxes[activated_anc_ind]\n  else:\n    bbox_mask = (bboxes[:, :, 0] != -1) # BxN, indicate invalid boxes\n    bbox_centers = (bboxes[:, :, 2:4] - bboxes[:, :, :2]) / 2. + bboxes[:, :, :2] # BxNx2\n\n    mah_dist = torch.abs(grid.view(B, -1, 2).unsqueeze(2) - bbox_centers.unsqueeze(1)).sum(dim=-1) # Bx(H'xW')xN\n    min_mah_dist = mah_dist.min(dim=1, keepdim=True)[0] # Bx1xN\n    grid_mask = (mah_dist == min_mah_dist).unsqueeze(1) # Bx1x(H'xW')xN\n\n    reshaped_iou_mat = iou_mat.view(B, A, -1, N)\n    anc_with_largest_iou = reshaped_iou_mat.max(dim=1, keepdim=True)[0] # Bx1x(H’xW’)xN\n    anc_mask = (anc_with_largest_iou == reshaped_iou_mat) # BxAx(H’xW’)xN\n    activated_anc_mask = (grid_mask & anc_mask).view(B, -1, N)\n    activated_anc_mask &= bbox_mask.unsqueeze(1)\n    \n    # one anchor could match multiple GT boxes\n    activated_anc_ind = torch.nonzero(activated_anc_mask.view(-1)).squeeze(-1)\n    GT_conf_scores = iou_mat.view(-1)[activated_anc_ind]\n    bboxes = bboxes.view(B, 1, N, 5).repeat(1, A*h_amap*w_amap, 1, 1).view(-1, 5)[activated_anc_ind]\n    GT_class = bboxes[:, 4].long()\n    bboxes = bboxes[:, :4]\n    activated_anc_ind = (activated_anc_ind / float(activated_anc_mask.shape[-1])).long()\n\n  # print('number of pos proposals: ', activated_anc_ind.shape[0])  # Transformed into a comment.\n  activated_anc_coord = anchors.view(-1, 4)[activated_anc_ind]\n\n  # GT offsets\n  # bbox and anchor coordinates are x_tl, y_tl, x_br, y_br\n  # offsets are t_x, t_y, t_w, t_h\n  wh_offsets = torch.log((bboxes[:, 2:4] - bboxes[:, :2]) \\\n    / (activated_anc_coord[:, 2:4] - activated_anc_coord[:, :2]))\n\n  xy_offsets = (bboxes[:, :2] + bboxes[:, 2:4] - \\\n    activated_anc_coord[:, :2] - activated_anc_coord[:, 2:4]) / 2.\n\n  if method == \"FasterRCNN\":\n    xy_offsets /= (activated_anc_coord[:, 2:4] - activated_anc_coord[:, :2])\n  else:\n    assert torch.max(torch.abs(xy_offsets)) <= 0.5, \\\n      \"x and y offsets should be between -0.5 and 0.5! Got {}\".format( \\\n      torch.max(torch.abs(xy_offsets)))\n\n  GT_offsets = torch.cat((xy_offsets, wh_offsets), dim=-1)\n\n  # negative anchors\n  negative_anc_mask = (max_iou_per_anc < neg_thresh) # Bx(AxH’xW’)\n  negative_anc_ind = torch.nonzero(negative_anc_mask.view(-1)).squeeze(-1)\n  negative_anc_ind = negative_anc_ind[torch.randint(0, negative_anc_ind.shape[0], (activated_anc_ind.shape[0],))]\n  negative_anc_coord = anchors.view(-1, 4)[negative_anc_ind.view(-1)]\n  \n  # activated_anc_coord and negative_anc_coord are mainly for visualization purposes\n  return activated_anc_ind, negative_anc_ind, GT_conf_scores, GT_offsets, GT_class, \\\n         activated_anc_coord, negative_anc_coord\n\n\ndef ObjectClassification(class_prob, GT_class, batch_size, anc_per_img, activated_anc_ind):\n  \"\"\"\"\n  Use softmax loss\n\n  Inputs:\n  - class_prob: Predicted class logits\n  - GT_class: GT box class label\n  \n  Outputs:\n  - object_cls_loss\n  \"\"\"\n  # average within sample and then average across batch\n  # such that the class pred would not bias towards dense popular objects like `person`\n  all_loss = torch.nn.functional.cross_entropy(class_prob, GT_class, reduction='none')\n  object_cls_loss = 0\n  for idx in range(batch_size):\n    anc_ind_in_img = (activated_anc_ind >= idx * anc_per_img) & (activated_anc_ind < (idx+1) * anc_per_img)\n    object_cls_loss += all_loss[anc_ind_in_img].sum() * 1. / torch.sum(anc_ind_in_img)\n  object_cls_loss /= batch_size\n\n  return object_cls_loss\n\n\ndef DetectionSolver(detector, train_loader, learning_rate=3e-3,\n                    lr_decay=1, num_epochs=20, dtype=torch.float32,\n                    device='cpu', **kwargs):\n  \"\"\"\n  Run optimization to train the model.\n  \"\"\"\n\n  # ship model to GPU\n  detector.to(dtype=dtype, device=device)\n\n  # optimizer setup\n  optimizer = optim.SGD(\n    filter(lambda p: p.requires_grad, detector.parameters()),\n    learning_rate) # leave betas and eps by default\n  lr_scheduler = optim.lr_scheduler.LambdaLR(optimizer,\n                                             lambda epoch: lr_decay ** epoch)\n\n  # sample minibatch data\n  loss_history = []\n  epoch_loss_history = []\n  detector.train()\n  for i in range(num_epochs):\n    start_t = time.time()\n    epoch_loss = 0.0\n\n    for iter_num, data_batch in enumerate(train_loader):\n      images, boxes, w_batch, h_batch, _ = data_batch\n      resized_boxes = coord_trans(boxes, w_batch, h_batch, mode='p2a')\n      images = images.to(dtype=dtype, device=device)\n      resized_boxes = resized_boxes.to(dtype=dtype, device=device)\n\n      loss = detector(images, resized_boxes)\n      optimizer.zero_grad()\n      loss.backward()\n      optimizer.step()\n\n      loss_history.append(loss.item())\n      epoch_loss += loss.item() * images.shape[0]\n\n      print('(Iter {} / {})'.format(iter_num, len(train_loader)))\n\n    end_t = time.time()\n    epoch_loss = epoch_loss / len(train_loader.dataset)\n    epoch_loss_history.append(epoch_loss)\n    print('(Epoch {} / {}) loss: {:.4f} time per epoch: {:.1f}s'.format(\n        i, num_epochs, loss.item(), end_t-start_t))\n\n    lr_scheduler.step()\n\n  # plot the training losses\n  plt.subplot(1, 2, 1)\n  plt.plot(loss_history)\n  plt.xlabel('Iteration')\n  plt.ylabel('Loss')\n  plt.title('Training loss history')\n  plt.subplot(1, 2, 2)\n  plt.plot(epoch_loss_history)\n  plt.xlabel('Epoch')\n  plt.ylabel('Loss')\n  plt.show()\n\n\ndef DetectionEvaluater(detector, loader, dtype=torch.float32, device='cpu', **kwargs):\n  \"\"\"\n  Run optimization to train the model.\n  \"\"\"\n  # ship model to GPU\n  detector.to(dtype=dtype, device=device)\n\n  # sample minibatch data\n  detector.eval()\n  with torch.no_grad():\n    start_t = time.time()\n    epoch_loss = 0.0\n    for iter_num, data_batch in enumerate(loader):\n      images, boxes, w_batch, h_batch, _ = data_batch\n      resized_boxes = coord_trans(boxes, w_batch, h_batch, mode='p2a')\n      images = images.to(dtype=dtype, device=device)\n      resized_boxes = resized_boxes.to(dtype=dtype, device=device)\n\n      epoch_loss += detector(images, resized_boxes) * images.shape[0]\n\n    end_t = time.time()\n\n  # divide by number of instances\n  epoch_loss = epoch_loss / len(loader.dataset)\n  print(f'Epoch loss: {epoch_loss:.4f}')\n  return epoch_loss\n\n\ndef DetectionInference(detector, data_loader, dataset, idx_to_class, thresh=0.8, nms_thresh=0.3, output_dir=None, dtype=torch.float32, device='cpu'):\n\n  # ship model to GPU\n  detector.to(dtype=dtype, device=device)\n \n  detector.eval()\n  start_t = time.time()\n\n  if output_dir is not None:\n    det_dir = 'mAP/input/detection-results'\n    gt_dir = 'mAP/input/ground-truth'\n    if os.path.exists(det_dir):\n      shutil.rmtree(det_dir)\n    os.mkdir(det_dir)\n    if os.path.exists(gt_dir):\n      shutil.rmtree(gt_dir)\n    os.mkdir(gt_dir)\n\n  for iter_num, data_batch in enumerate(data_loader):\n    images, boxes, w_batch, h_batch, img_ids = data_batch\n    images = images.to(dtype=dtype, device=device)\n\n    final_proposals, final_conf_scores, final_class = detector.inference(images, thresh=thresh, nms_thresh=nms_thresh)\n\n    # clamp on the proposal coordinates\n    batch_size = len(images)\n    for idx in range(batch_size):\n      torch.clamp_(final_proposals[idx][:, 0::2], min=0, max=w_batch[idx])\n      torch.clamp_(final_proposals[idx][:, 1::2], min=0, max=h_batch[idx])\n\n      # visualization\n      # get the original image\n      # hack to get the original image so we don't have to load from local again...\n      i = batch_size*iter_num + idx\n      img, _ = dataset.__getitem__(i)\n\n      valid_box = sum([1 if j != -1 else 0 for j in boxes[idx][:, 0]])\n      final_all = torch.cat((final_proposals[idx], \\\n        final_class[idx].float(), final_conf_scores[idx]), dim=-1).cpu()\n      resized_proposals = coord_trans(final_all, w_batch[idx], h_batch[idx])\n\n      # write results to file for evaluation (use mAP API https://github.com/Cartucho/mAP for now...)\n      if output_dir is not None:\n        file_name = img_ids[idx].replace('.jpg', '.txt')\n        with open(os.path.join(det_dir, file_name), 'w') as f_det, \\\n          open(os.path.join(gt_dir, file_name), 'w') as f_gt:\n          # print('{}: {} GT bboxes and {} proposals'.format(img_ids[idx], valid_box, resized_proposals.shape[0]))\n          for b in boxes[idx][:valid_box]:\n            f_gt.write('{} {:.2f} {:.2f} {:.2f} {:.2f}\\n'.format(idx_to_class[b[4].item()], b[0], b[1], b[2], b[3]))\n          for b in resized_proposals:\n            f_det.write('{} {:.6f} {:.2f} {:.2f} {:.2f} {:.2f}\\n'.format(idx_to_class[b[4].item()], b[5], b[0], b[1], b[2], b[3]))\n      else:\n        eecs598.vis.detection_visualizer(img, idx_to_class, boxes[idx][:valid_box], resized_proposals)\n\n  end_t = time.time()\n  print('Total inference time: {:.1f}s'.format(end_t-start_t))\n"
  },
  {
    "path": "eecs498-007/A5/eecs598/__init__.py",
    "content": "from . import data, grad, submit\nfrom .solver import Solver\nfrom .utils import reset_seed\nfrom .vis import tensor_to_image, visualize_dataset\n"
  },
  {
    "path": "eecs498-007/A5/eecs598/data.py",
    "content": "import os\nimport random\n\nimport matplotlib.pyplot as plt\nimport torch\nimport torchvision\nfrom torchvision.datasets import CIFAR10\n\nimport eecs598\n\n\ndef _extract_tensors(dset, num=None, x_dtype=torch.float32):\n    \"\"\"\n    Extract the data and labels from a CIFAR10 dataset object and convert them to\n    tensors.\n\n    Input:\n    - dset: A torchvision.datasets.CIFAR10 object\n    - num: Optional. If provided, the number of samples to keep.\n    - x_dtype: Optional. data type of the input image\n\n    Returns:\n    - x: `x_dtype` tensor of shape (N, 3, 32, 32)\n    - y: int64 tensor of shape (N,)\n    \"\"\"\n    x = torch.tensor(dset.data, dtype=x_dtype).permute(0, 3, 1, 2).div_(255)\n    y = torch.tensor(dset.targets, dtype=torch.int64)\n    if num is not None:\n        if num <= 0 or num > x.shape[0]:\n            raise ValueError(\n                \"Invalid value num=%d; must be in the range [0, %d]\" % (num, x.shape[0])\n            )\n        x = x[:num].clone()\n        y = y[:num].clone()\n    return x, y\n\n\ndef cifar10(num_train=None, num_test=None, x_dtype=torch.float32):\n    \"\"\"\n    Return the CIFAR10 dataset, automatically downloading it if necessary.\n    This function can also subsample the dataset.\n\n    Inputs:\n    - num_train: [Optional] How many samples to keep from the training set.\n      If not provided, then keep the entire training set.\n    - num_test: [Optional] How many samples to keep from the test set.\n      If not provided, then keep the entire test set.\n    - x_dtype: [Optional] Data type of the input image\n\n    Returns:\n    - x_train: `x_dtype` tensor of shape (num_train, 3, 32, 32)\n    - y_train: int64 tensor of shape (num_train, 3, 32, 32)\n    - x_test: `x_dtype` tensor of shape (num_test, 3, 32, 32)\n    - y_test: int64 tensor of shape (num_test, 3, 32, 32)\n    \"\"\"\n    download = not os.path.isdir(\"cifar-10-batches-py\")\n    dset_train = CIFAR10(root=\".\", download=download, train=True)\n    dset_test = CIFAR10(root=\".\", train=False)\n    x_train, y_train = _extract_tensors(dset_train, num_train, x_dtype)\n    x_test, y_test = _extract_tensors(dset_test, num_test, x_dtype)\n\n    return x_train, y_train, x_test, y_test\n\n\ndef preprocess_cifar10(\n    cuda=True,\n    show_examples=True,\n    bias_trick=False,\n    flatten=True,\n    validation_ratio=0.2,\n    dtype=torch.float32,\n):\n    \"\"\"\n    Returns a preprocessed version of the CIFAR10 dataset, automatically\n    downloading if necessary. We perform the following steps:\n\n    (0) [Optional] Visualize some images from the dataset\n    (1) Normalize the data by subtracting the mean\n    (2) Reshape each image of shape (3, 32, 32) into a vector of shape (3072,)\n    (3) [Optional] Bias trick: add an extra dimension of ones to the data\n    (4) Carve out a validation set from the training set\n\n    Inputs:\n    - cuda: If true, move the entire dataset to the GPU\n    - validation_ratio: Float in the range (0, 1) giving the fraction of the train\n      set to reserve for validation\n    - bias_trick: Boolean telling whether or not to apply the bias trick\n    - show_examples: Boolean telling whether or not to visualize data samples\n    - dtype: Optional, data type of the input image X\n\n    Returns a dictionary with the following keys:\n    - 'X_train': `dtype` tensor of shape (N_train, D) giving training images\n    - 'X_val': `dtype` tensor of shape (N_val, D) giving val images\n    - 'X_test': `dtype` tensor of shape (N_test, D) giving test images\n    - 'y_train': int64 tensor of shape (N_train,) giving training labels\n    - 'y_val': int64 tensor of shape (N_val,) giving val labels\n    - 'y_test': int64 tensor of shape (N_test,) giving test labels\n\n    N_train, N_val, and N_test are the number of examples in the train, val, and\n    test sets respectively. The precise values of N_train and N_val are determined\n    by the input parameter validation_ratio. D is the dimension of the image data;\n    if bias_trick is False, then D = 32 * 32 * 3 = 3072;\n    if bias_trick is True then D = 1 + 32 * 32 * 3 = 3073.\n    \"\"\"\n    X_train, y_train, X_test, y_test = cifar10(x_dtype=dtype)\n\n    # Move data to the GPU\n    if cuda:\n        X_train = X_train.cuda()\n        y_train = y_train.cuda()\n        X_test = X_test.cuda()\n        y_test = y_test.cuda()\n\n    # 0. Visualize some examples from the dataset.\n    if show_examples:\n        classes = [\n            \"plane\",\n            \"car\",\n            \"bird\",\n            \"cat\",\n            \"deer\",\n            \"dog\",\n            \"frog\",\n            \"horse\",\n            \"ship\",\n            \"truck\",\n        ]\n        samples_per_class = 12\n        samples = []\n        eecs598.reset_seed(0)\n        for y, cls in enumerate(classes):\n            plt.text(-4, 34 * y + 18, cls, ha=\"right\")\n            (idxs,) = (y_train == y).nonzero(as_tuple=True)\n            for i in range(samples_per_class):\n                idx = idxs[random.randrange(idxs.shape[0])].item()\n                samples.append(X_train[idx])\n        img = torchvision.utils.make_grid(samples, nrow=samples_per_class)\n        plt.imshow(eecs598.tensor_to_image(img))\n        plt.axis(\"off\")\n        plt.show()\n\n    # 1. Normalize the data: subtract the mean RGB (zero mean)\n    mean_image = X_train.mean(dim=(0, 2, 3), keepdim=True)\n    X_train -= mean_image\n    X_test -= mean_image\n\n    # 2. Reshape the image data into rows\n    if flatten:\n      X_train = X_train.reshape(X_train.shape[0], -1)\n      X_test = X_test.reshape(X_test.shape[0], -1)\n\n    # 3. Add bias dimension and transform into columns\n    if bias_trick:\n        ones_train = torch.ones(X_train.shape[0], 1, device=X_train.device)\n        X_train = torch.cat([X_train, ones_train], dim=1)\n        ones_test = torch.ones(X_test.shape[0], 1, device=X_test.device)\n        X_test = torch.cat([X_test, ones_test], dim=1)\n\n    # 4. take the validation set from the training set\n    # Note: It should not be taken from the test set\n    # For random permumation, you can use torch.randperm or torch.randint\n    # But, for this homework, we use slicing instead.\n    num_training = int(X_train.shape[0] * (1.0 - validation_ratio))\n    num_validation = X_train.shape[0] - num_training\n\n    # return the dataset\n    data_dict = {}\n    data_dict[\"X_val\"] = X_train[num_training : num_training + num_validation]\n    data_dict[\"y_val\"] = y_train[num_training : num_training + num_validation]\n    data_dict[\"X_train\"] = X_train[0:num_training]\n    data_dict[\"y_train\"] = y_train[0:num_training]\n\n    data_dict[\"X_test\"] = X_test\n    data_dict[\"y_test\"] = y_test\n    return data_dict\n"
  },
  {
    "path": "eecs498-007/A5/eecs598/grad.py",
    "content": "import random\n\nimport torch\n\nimport eecs598\n\n\"\"\" Utilities for computing and checking gradients. \"\"\"\n\n\ndef grad_check_sparse(f, x, analytic_grad, num_checks=10, h=1e-7):\n    \"\"\"\n    Utility function to perform numeric gradient checking. We use the centered\n    difference formula to compute a numeric derivative:\n\n    f'(x) =~ (f(x + h) - f(x - h)) / (2h)\n\n    Rather than computing a full numeric gradient, we sparsely sample a few\n    dimensions along which to compute numeric derivatives.\n\n    Inputs:\n    - f: A function that inputs a torch tensor and returns a torch scalar\n    - x: A torch tensor of the point at which to evaluate the numeric gradient\n    - analytic_grad: A torch tensor giving the analytic gradient of f at x\n    - num_checks: The number of dimensions along which to check\n    - h: Step size for computing numeric derivatives\n    \"\"\"\n    # fix random seed to 0\n    eecs598.reset_seed(0)\n    for i in range(num_checks):\n\n        ix = tuple([random.randrange(m) for m in x.shape])\n\n        oldval = x[ix].item()\n        x[ix] = oldval + h  # increment by h\n        fxph = f(x).item()  # evaluate f(x + h)\n        x[ix] = oldval - h  # increment by h\n        fxmh = f(x).item()  # evaluate f(x - h)\n        x[ix] = oldval  # reset\n\n        grad_numerical = (fxph - fxmh) / (2 * h)\n        grad_analytic = analytic_grad[ix]\n        rel_error_top = abs(grad_numerical - grad_analytic)\n        rel_error_bot = abs(grad_numerical) + abs(grad_analytic) + 1e-12\n        rel_error = rel_error_top / rel_error_bot\n        msg = \"numerical: %f analytic: %f, relative error: %e\"\n        print(msg % (grad_numerical, grad_analytic, rel_error))\n\n\ndef compute_numeric_gradient(f, x, dLdf=None, h=1e-7):\n    \"\"\"\n    Compute the numeric gradient of f at x using a finite differences\n    approximation. We use the centered difference:\n\n    df    f(x + h) - f(x - h)\n    -- ~= -------------------\n    dx           2 * h\n\n    Function can also expand this easily to intermediate layers using the\n    chain rule:\n\n    dL   df   dL\n    -- = -- * --\n    dx   dx   df\n\n    Inputs:\n    - f: A function that inputs a torch tensor and returns a torch scalar\n    - x: A torch tensor giving the point at which to compute the gradient\n    - dLdf: optional upstream gradient for intermediate layers\n    - h: epsilon used in the finite difference calculation\n    Returns:\n    - grad: A tensor of the same shape as x giving the gradient of f at x\n    \"\"\"\n    flat_x = x.contiguous().flatten()\n    grad = torch.zeros_like(x)\n    flat_grad = grad.flatten()\n\n    # Initialize upstream gradient to be ones if not provide\n    if dLdf is None:\n        y = f(x)\n        dLdf = torch.ones_like(y)\n    dLdf = dLdf.flatten()\n\n    # iterate over all indexes in x\n    for i in range(flat_x.shape[0]):\n        oldval = flat_x[i].item()  # Store the original value\n        flat_x[i] = oldval + h  # Increment by h\n        fxph = f(x).flatten()  # Evaluate f(x + h)\n        flat_x[i] = oldval - h  # Decrement by h\n        fxmh = f(x).flatten()  # Evaluate f(x - h)\n        flat_x[i] = oldval  # Restore original value\n\n        # compute the partial derivative with centered formula\n        dfdxi = (fxph - fxmh) / (2 * h)\n\n        # use chain rule to compute dLdx\n        flat_grad[i] = dLdf.dot(dfdxi).item()\n\n    # Note that since flat_grad was only a reference to grad,\n    # we can just return the object in the shape of x by returning grad\n    return grad\n\n\ndef rel_error(x, y, eps=1e-10):\n    \"\"\"\n    Compute the relative error between a pair of tensors x and y,\n    which is defined as:\n\n                            max_i |x_i - y_i]|\n    rel_error(x, y) = -------------------------------\n                      max_i |x_i| + max_i |y_i| + eps\n\n    Inputs:\n    - x, y: Tensors of the same shape\n    - eps: Small positive constant for numeric stability\n\n    Returns:\n    - rel_error: Scalar giving the relative error between x and y\n    \"\"\"\n    \"\"\" returns relative error between x and y \"\"\"\n    top = (x - y).abs().max().item()\n    bot = (x.abs() + y.abs()).clamp(min=eps).max().item()\n    return top / bot\n"
  },
  {
    "path": "eecs498-007/A5/eecs598/solver.py",
    "content": "import pickle\nimport time\n\nimport torch\n\n\nclass Solver(object):\n    \"\"\"\n    A Solver encapsulates all the logic necessary for training classification\n    models. The Solver performs stochastic gradient descent using different\n    update rules.\n    The solver accepts both training and validation data and labels so it can\n    periodically check classification accuracy on both training and validation\n    data to watch out for overfitting.\n    To train a model, you will first construct a Solver instance, passing the\n    model, dataset, and various options (learning rate, batch size, etc) to the\n    constructor. You will then call the train() method to run the optimization\n    procedure and train the model.\n    After the train() method returns, model.params will contain the parameters\n    that performed best on the validation set over the course of training.\n    In addition, the instance variable solver.loss_history will contain a list\n    of all losses encountered during training and the instance variables\n    solver.train_acc_history and solver.val_acc_history will be lists of the\n    accuracies of the model on the training and validation set at each epoch.\n    Example usage might look something like this:\n    data = {\n      'X_train': # training data\n      'y_train': # training labels\n      'X_val': # validation data\n      'y_val': # validation labels\n    }\n    model = MyAwesomeModel(hidden_size=100, reg=10)\n    solver = Solver(model, data,\n            update_rule=sgd,\n            optim_config={\n              'learning_rate': 1e-3,\n            },\n            lr_decay=0.95,\n            num_epochs=10, batch_size=100,\n            print_every=100,\n            device='cuda')\n    solver.train()\n    A Solver works on a model object that must conform to the following API:\n    - model.params must be a dictionary mapping string parameter names to numpy\n      arrays containing parameter values.\n    - model.loss(X, y) must be a function that computes training-time loss and\n      gradients, and test-time classification scores, with the following inputs\n      and outputs:\n      Inputs:\n      - X: Array giving a minibatch of input data of shape (N, d_1, ..., d_k)\n      - y: Array of labels, of shape (N,) giving labels for X where y[i] is the\n      label for X[i].\n      Returns:\n      If y is None, run a test-time forward pass and return:\n      - scores: Array of shape (N, C) giving classification scores for X where\n      scores[i, c] gives the score of class c for X[i].\n      If y is not None, run a training time forward and backward pass and\n      return a tuple of:\n      - loss: Scalar giving the loss\n      - grads: Dictionary with the same keys as self.params mapping parameter\n      names to gradients of the loss with respect to those parameters.\n      - device: device to use for computation. 'cpu' or 'cuda'\n    \"\"\"\n\n    def __init__(self, model, data, **kwargs):\n        \"\"\"\n        Construct a new Solver instance.\n        Required arguments:\n        - model: A model object conforming to the API described above\n        - data: A dictionary of training and validation data containing:\n          'X_train': Array, shape (N_train, d_1, ..., d_k) of training images\n          'X_val': Array, shape (N_val, d_1, ..., d_k) of validation images\n          'y_train': Array, shape (N_train,) of labels for training images\n          'y_val': Array, shape (N_val,) of labels for validation images\n        Optional arguments:\n        - update_rule: A function of an update rule. Default is sgd.\n        - optim_config: A dictionary containing hyperparameters that will be\n          passed to the chosen update rule. Each update rule requires different\n          hyperparameters but all update rules require a\n          'learning_rate' parameter so that should always be present.\n        - lr_decay: A scalar for learning rate decay; after each epoch the\n          learning rate is multiplied by this value.\n        - batch_size: Size of minibatches used to compute loss and gradient\n          during training.\n        - num_epochs: The number of epochs to run for during training.\n        - print_every: Integer; training losses will be printed every\n          print_every iterations.\n        - print_acc_every: We will print the accuracy every print_acc_every epochs.\n        - verbose: Boolean; if set to false then no output will be printed\n          during training.\n        - num_train_samples: Number of training samples used to check training\n          accuracy; default is 1000; set to None to use entire training set.\n        - num_val_samples: Number of validation samples to use to check val\n          accuracy; default is None, which uses the entire validation set.\n        - checkpoint_name: If not None, then save model checkpoints here every\n          epoch.\n        \"\"\"\n        self.model = model\n        self.X_train = data[\"X_train\"]\n        self.y_train = data[\"y_train\"]\n        self.X_val = data[\"X_val\"]\n        self.y_val = data[\"y_val\"]\n\n        # Unpack keyword arguments\n        self.update_rule = kwargs.pop(\"update_rule\", self.sgd)\n        self.optim_config = kwargs.pop(\"optim_config\", {})\n        self.lr_decay = kwargs.pop(\"lr_decay\", 1.0)\n        self.batch_size = kwargs.pop(\"batch_size\", 100)\n        self.num_epochs = kwargs.pop(\"num_epochs\", 10)\n        self.num_train_samples = kwargs.pop(\"num_train_samples\", 1000)\n        self.num_val_samples = kwargs.pop(\"num_val_samples\", None)\n\n        self.device = kwargs.pop(\"device\", \"cpu\")\n\n        self.checkpoint_name = kwargs.pop(\"checkpoint_name\", None)\n        self.print_every = kwargs.pop(\"print_every\", 10)\n        self.print_acc_every = kwargs.pop(\"print_acc_every\", 1)\n        self.verbose = kwargs.pop(\"verbose\", True)\n\n        # Throw an error if there are extra keyword arguments\n        if len(kwargs) > 0:\n            extra = \", \".join('\"%s\"' % k for k in list(kwargs.keys()))\n            raise ValueError(\"Unrecognized arguments %s\" % extra)\n\n        self._reset()\n\n    def _reset(self):\n        \"\"\"\n        Set up some book-keeping variables for optimization. Don't call this\n        manually.\n        \"\"\"\n        # Set up some variables for book-keeping\n        self.epoch = 0\n        self.best_val_acc = 0\n        self.best_params = {}\n        self.loss_history = []\n        self.train_acc_history = []\n        self.val_acc_history = []\n\n        # Make a deep copy of the optim_config for each parameter\n        self.optim_configs = {}\n        for p in self.model.params:\n            d = {k: v for k, v in self.optim_config.items()}\n            self.optim_configs[p] = d\n\n    def _step(self):\n        \"\"\"\n        Make a single gradient update. This is called by train() and should not\n        be called manually.\n        \"\"\"\n        # Make a minibatch of training data\n        num_train = self.X_train.shape[0]\n        batch_mask = torch.randperm(num_train)[: self.batch_size]\n        X_batch = self.X_train[batch_mask].to(self.device)\n        y_batch = self.y_train[batch_mask].to(self.device)\n\n        # Compute loss and gradient\n        loss, grads = self.model.loss(X_batch, y_batch)\n        self.loss_history.append(loss.item())\n\n        # Perform a parameter update\n        with torch.no_grad():\n            for p, w in self.model.params.items():\n                dw = grads[p]\n                config = self.optim_configs[p]\n                next_w, next_config = self.update_rule(w, dw, config)\n                self.model.params[p] = next_w\n                self.optim_configs[p] = next_config\n\n    def _save_checkpoint(self):\n        if self.checkpoint_name is None:\n            return\n        checkpoint = {\n            \"model\": self.model,\n            \"update_rule\": self.update_rule,\n            \"lr_decay\": self.lr_decay,\n            \"optim_config\": self.optim_config,\n            \"batch_size\": self.batch_size,\n            \"num_train_samples\": self.num_train_samples,\n            \"num_val_samples\": self.num_val_samples,\n            \"epoch\": self.epoch,\n            \"loss_history\": self.loss_history,\n            \"train_acc_history\": self.train_acc_history,\n            \"val_acc_history\": self.val_acc_history,\n        }\n        filename = \"%s_epoch_%d.pkl\" % (self.checkpoint_name, self.epoch)\n        if self.verbose:\n            print('Saving checkpoint to \"%s\"' % filename)\n        with open(filename, \"wb\") as f:\n            pickle.dump(checkpoint, f)\n\n    @staticmethod\n    def sgd(w, dw, config=None):\n        \"\"\"\n        Performs vanilla stochastic gradient descent.\n        config format:\n        - learning_rate: Scalar learning rate.\n        \"\"\"\n        if config is None:\n            config = {}\n        config.setdefault(\"learning_rate\", 1e-2)\n\n        w -= config[\"learning_rate\"] * dw\n        return w, config\n\n    def check_accuracy(self, X, y, num_samples=None, batch_size=100):\n        \"\"\"\n        Check accuracy of the model on the provided data.\n        Inputs:\n        - X: Array of data, of shape (N, d_1, ..., d_k)\n        - y: Array of labels, of shape (N,)\n        - num_samples: If not None, subsample the data and only test the model\n          on num_samples datapoints.\n        - batch_size: Split X and y into batches of this size to avoid using\n          too much memory.\n        Returns:\n        - acc: Scalar giving the fraction of instances that were correctly\n          classified by the model.\n        \"\"\"\n\n        # Maybe subsample the data\n        N = X.shape[0]\n        if num_samples is not None and N > num_samples:\n            mask = torch.randperm(N, device=self.device)[:num_samples]\n            N = num_samples\n            X = X[mask]\n            y = y[mask]\n        X = X.to(self.device)\n        y = y.to(self.device)\n\n        # Compute predictions in batches\n        num_batches = N // batch_size\n        if N % batch_size != 0:\n            num_batches += 1\n        y_pred = []\n        for i in range(num_batches):\n            start = i * batch_size\n            end = (i + 1) * batch_size\n            scores = self.model.loss(X[start:end])\n            y_pred.append(torch.argmax(scores, dim=1))\n\n        y_pred = torch.cat(y_pred)\n        acc = (y_pred == y).to(torch.float).mean()\n\n        return acc.item()\n\n    def train(self, time_limit=None, return_best_params=True):\n        \"\"\"\n        Run optimization to train the model.\n        \"\"\"\n        num_train = self.X_train.shape[0]\n        iterations_per_epoch = max(num_train // self.batch_size, 1)\n        num_iterations = self.num_epochs * iterations_per_epoch\n        prev_time = start_time = time.time()\n\n        for t in range(num_iterations):\n\n            cur_time = time.time()\n            if (time_limit is not None) and (t > 0):\n                next_time = cur_time - prev_time\n                if cur_time - start_time + next_time > time_limit:\n                    print(\n                        \"(Time %.2f sec; Iteration %d / %d) loss: %f\"\n                        % (\n                            cur_time - start_time,\n                            t,\n                            num_iterations,\n                            self.loss_history[-1],\n                        )\n                    )\n                    print(\"End of training; next iteration will exceed the time limit.\")\n                    break\n            prev_time = cur_time\n\n            self._step()\n\n            # Maybe print training loss\n            if self.verbose and t % self.print_every == 0:\n                print(\n                    \"(Time %.2f sec; Iteration %d / %d) loss: %f\"\n                    % (\n                        time.time() - start_time,\n                        t + 1,\n                        num_iterations,\n                        self.loss_history[-1],\n                    )\n                )\n\n            # At the end of every epoch, increment the epoch counter and decay\n            # the learning rate.\n            epoch_end = (t + 1) % iterations_per_epoch == 0\n            if epoch_end:\n                self.epoch += 1\n                for k in self.optim_configs:\n                    self.optim_configs[k][\"learning_rate\"] *= self.lr_decay\n\n            # Check train and val accuracy on the first iteration, the last\n            # iteration, and at the end of each epoch.\n            with torch.no_grad():\n                first_it = t == 0\n                last_it = t == num_iterations - 1\n                if first_it or last_it or epoch_end:\n                    train_acc = self.check_accuracy(\n                        self.X_train, self.y_train, num_samples=self.num_train_samples\n                    )\n                    val_acc = self.check_accuracy(\n                        self.X_val, self.y_val, num_samples=self.num_val_samples\n                    )\n                    self.train_acc_history.append(train_acc)\n                    self.val_acc_history.append(val_acc)\n                    self._save_checkpoint()\n\n                    if self.verbose and self.epoch % self.print_acc_every == 0:\n                        print(\n                            \"(Epoch %d / %d) train acc: %f; val_acc: %f\"\n                            % (self.epoch, self.num_epochs, train_acc, val_acc)\n                        )\n\n                    # Keep track of the best model\n                    if val_acc > self.best_val_acc:\n                        self.best_val_acc = val_acc\n                        self.best_params = {}\n                        for k, v in self.model.params.items():\n                            self.best_params[k] = v.clone()\n\n        # At the end of training swap the best params into the model\n        if return_best_params:\n          self.model.params = self.best_params\n"
  },
  {
    "path": "eecs498-007/A5/eecs598/submit.py",
    "content": "import os\nimport zipfile\n\n_A1_FILES = [\n    \"pytorch101.py\",\n    \"pytorch101.ipynb\",\n    \"knn.py\",\n    \"knn.ipynb\",\n]\n\n_A2_FILES = [\n    \"linear_classifier.py\",\n    \"linear_classifier.ipynb\",\n    \"two_layer_net.py\",\n    \"two_layer_net.ipynb\",\n    \"svm_best_model.pt\",\n    \"softmax_best_model.pt\",\n    \"nn_best_model.pt\",\n]\n\n_A3_FILES = [\n    \"fully_connected_networks.py\",\n    \"fully_connected_networks.ipynb\",\n    \"convolutional_networks.py\",\n    \"convolutional_networks.ipynb\",\n    \"best_overfit_five_layer_net.pth\",\n    \"best_two_layer_net.pth\",\n    \"one_minute_deepconvnet.pth\",\n    \"overfit_deepconvnet.pth\", \n]\n\n_A4_FILES = [\n    'network_visualization.py', \n    'network_visualization.ipynb',\n    'style_transfer.py',  \n    'style_transfer.ipynb',\n    'pytorch_autograd_and_nn.py', \n    'pytorch_autograd_and_nn.ipynb', \n    'rnn_lstm_attention_captioning.py',\n    'rnn_lstm_attention_captioning.ipynb',\n    # result files\n    'pytorch_autograd_and_nn.pkl',\n    'rnn_lstm_attention_submission.pkl',\n    'saliency_maps_results.jpg',\n    'adversarial_attacks_results.jpg',\n    'class_viz_result.jpg',\n    'style_transfer_result.jpg',\n    'feature_inversion_result.jpg'\n]\n\n_A5_FILES = [\n    'single_stage_detector.py', \n    'two_stage_detector.py',\n    'single_stage_detector_yolo.ipynb', \n    'two_stage_detector_faster_rcnn.ipynb',\n    'yolo_detector.pt',\n    'frcnn_detector.pt',\n]\n\ndef make_a1_submission(assignment_path, uniquename=None, umid=None):\n    _make_submission(assignment_path, _A1_FILES, \"A1\", uniquename, umid)\n\n\ndef make_a2_submission(assignment_path, uniquename=None, umid=None):\n    _make_submission(assignment_path, _A2_FILES, \"A2\", uniquename, umid)\n\n\ndef make_a3_submission(assignment_path, uniquename=None, umid=None):\n    _make_submission(assignment_path, _A3_FILES, \"A3\", uniquename, umid)\n\n\ndef make_a4_submission(assignment_path, uniquename=None, umid=None):\n    _make_submission(assignment_path, _A4_FILES, \"A4\", uniquename, umid)\n\n\ndef make_a5_submission(assignment_path, uniquename=None, umid=None):\n    _make_submission(assignment_path, _A5_FILES, \"A5\", uniquename, umid)\n\n\ndef _make_submission(\n    assignment_path, file_list, assignment_no, uniquename=None, umid=None\n):\n    if uniquename is None or umid is None:\n        uniquename, umid = _get_user_info()\n    zip_path = \"{}_{}_{}.zip\".format(uniquename, umid, assignment_no)\n    zip_path = os.path.join(assignment_path, zip_path)\n    print(\"Writing zip file to: \", zip_path)\n    with zipfile.ZipFile(zip_path, \"w\") as zf:\n        for filename in file_list:\n            in_path = os.path.join(assignment_path, filename)\n            if not os.path.isfile(in_path):\n                raise ValueError('Could not find file \"%s\"' % filename)\n            zf.write(in_path, filename)\n\n\ndef _get_user_info():\n    if uniquename is None:\n        uniquename = input(\"Enter your uniquename (e.g. justincj): \")\n    if umid is None:\n        umid = input(\"Enter your umid (e.g. 12345678): \")\n    return uniquename, umid\n"
  },
  {
    "path": "eecs498-007/A5/eecs598/utils.py",
    "content": "import torch\nimport random\nfrom torchvision.utils import make_grid\nimport matplotlib.pyplot as plt\nimport cv2\nimport numpy as np\n\n\"\"\"\nGeneral utilities to help with implementation\n\"\"\"\n\ndef reset_seed(number):\n  \"\"\"\n  Reset random seed to the specific number\n\n  Inputs:\n  - number: A seed number to use\n  \"\"\"\n  random.seed(number)\n  torch.manual_seed(number)\n  return\n\ndef tensor_to_image(tensor):\n  \"\"\"\n  Convert a torch tensor into a numpy ndarray for visualization.\n\n  Inputs:\n  - tensor: A torch tensor of shape (3, H, W) with elements in the range [0, 1]\n\n  Returns:\n  - ndarr: A uint8 numpy array of shape (H, W, 3)\n  \"\"\"\n  tensor = tensor.mul(255).add_(0.5).clamp_(0, 255).permute(1, 2, 0)\n  ndarr = tensor.to('cpu', torch.uint8).numpy()\n  return ndarr\n\n\ndef visualize_dataset(X_data, y_data, samples_per_class, class_list):\n  \"\"\"\n  Make a grid-shape image to plot\n\n  Inputs:\n  - X_data: set of [batch, 3, width, height] data\n  - y_data: paired label of X_data in [batch] shape\n  - samples_per_class: number of samples want to present\n  - class_list: list of class names\n    e.g.) ['plane', 'car', 'bird', 'cat', 'deer', 'dog', 'frog', 'horse', 'ship', 'truck']\n\n  Outputs:\n  - An grid-image that visualize samples_per_class number of samples per class\n  \"\"\"\n  img_half_width = X_data.shape[2] // 2\n  samples = []\n  for y, cls in enumerate(class_list):\n    plt.text(-4, (img_half_width * 2 + 2) * y + (img_half_width + 2), cls, ha='right')\n    idxs = (y_data == y).nonzero().view(-1)\n    for i in range(samples_per_class):\n      idx = idxs[random.randrange(idxs.shape[0])].item()\n      samples.append(X_data[idx])\n\n  img = make_grid(samples, nrow=samples_per_class)\n  return tensor_to_image(img)\n\n\ndef decode_captions(captions, idx_to_word):\n    \"\"\"\n    Decoding caption indexes into words.\n    Inputs:\n    - captions: Caption indexes in a tensor of shape (Nx)T.\n    - idx_to_word: Mapping from the vocab index to word.\n\n    Outputs:\n    - decoded: A sentence (or a list of N sentences).\n    \"\"\"\n    singleton = False\n    if captions.ndim == 1:\n        singleton = True\n        captions = captions[None]\n    decoded = []\n    N, T = captions.shape\n    for i in range(N):\n        words = []\n        for t in range(T):\n            word = idx_to_word[captions[i, t]]\n            if word != '<NULL>':\n                words.append(word)\n            if word == '<END>':\n                break\n        decoded.append(' '.join(words))\n    if singleton:\n        decoded = decoded[0]\n    return decoded\n\n\ndef attention_visualizer(img, attn_weights, token):\n  \"\"\"\n  Visuailze the attended regions on a single frame from a single query word.\n  Inputs:\n  - img: Image tensor input, of shape (3, H, W)\n  - attn_weights: Attention weight tensor, on the final activation map\n  - token: The token string you want to display above the image\n\n  Outputs:\n  - img_output: Image tensor output, of shape (3, H+25, W)\n\n  \"\"\"\n  C, H, W = img.shape\n  assert C == 3, 'We only support image with three color channels!'\n\n  # Reshape attention map\n  attn_weights = cv2.resize(attn_weights.data.numpy().copy(),\n                              (H, W), interpolation=cv2.INTER_NEAREST)\n  attn_weights = np.repeat(np.expand_dims(attn_weights, axis=2), 3, axis=2)\n\n  # Combine image and attention map\n  img_copy = img.float().div(255.).permute(1, 2, 0\n    ).numpy()[:, :, ::-1].copy()  # covert to BGR for cv2\n  masked_img = cv2.addWeighted(attn_weights, 0.5, img_copy, 0.5, 0)\n  img_copy = np.concatenate((np.zeros((25, W, 3)),\n    masked_img), axis=0)\n\n  # Add text\n  cv2.putText(img_copy, '%s' % (token), (10, 15),\n              cv2.FONT_HERSHEY_PLAIN, 1.0, (255, 255, 255), thickness=1)\n\n  return img_copy"
  },
  {
    "path": "eecs498-007/A5/eecs598/vis.py",
    "content": "import random\nimport cv2\n\nimport numpy as np\nimport matplotlib.pyplot as plt\nimport torch\nfrom torchvision.utils import make_grid\n\n\n\"\"\"\nUtilities to help with visualizing images and other data\n\"\"\"\n\n\ndef tensor_to_image(tensor):\n    \"\"\"\n    Convert a torch tensor into a numpy ndarray for visualization.\n\n    Inputs:\n    - tensor: A torch tensor of shape (3, H, W) with elements in the range [0, 1]\n\n    Returns:\n    - ndarr: A uint8 numpy array of shape (H, W, 3)\n    \"\"\"\n    tensor = tensor.mul(255).add_(0.5).clamp_(0, 255).permute(1, 2, 0)\n    ndarr = tensor.to(\"cpu\", torch.uint8).numpy()\n    return ndarr\n\n\ndef visualize_dataset(X_data, y_data, samples_per_class, class_list):\n    \"\"\"\n    Make a grid-shape image to plot\n\n    Inputs:\n    - X_data: set of [batch, 3, width, height] data\n    - y_data: paired label of X_data in [batch] shape\n    - samples_per_class: number of samples want to present\n    - class_list: list of class names; eg,\n      ['plane', 'car', 'bird', 'cat', 'deer', 'dog', 'frog', 'horse', 'ship', 'truck']\n\n    Outputs:\n    - An grid-image that visualize samples_per_class number of samples per class\n    \"\"\"\n    img_half_width = X_data.shape[2] // 2\n    samples = []\n    for y, cls in enumerate(class_list):\n        tx = -4\n        ty = (img_half_width * 2 + 2) * y + (img_half_width + 2)\n        plt.text(tx, ty, cls, ha=\"right\")\n        idxs = (y_data == y).nonzero().view(-1)\n        for i in range(samples_per_class):\n            idx = idxs[random.randrange(idxs.shape[0])].item()\n            samples.append(X_data[idx])\n\n    img = make_grid(samples, nrow=samples_per_class)\n    return tensor_to_image(img)\n\ndef detection_visualizer(img, idx_to_class, bbox=None, pred=None):\n    \"\"\"\n    Data visualizer on the original image. Support both GT box input and proposal input.\n    \n    Input:\n    - img: PIL Image input\n    - idx_to_class: Mapping from the index (0-19) to the class name\n    - bbox: GT bbox (in red, optional), a tensor of shape Nx5, where N is\n            the number of GT boxes, 5 indicates (x_tl, y_tl, x_br, y_br, class)\n    - pred: Predicted bbox (in green, optional), a tensor of shape N'x6, where\n            N' is the number of predicted boxes, 6 indicates\n            (x_tl, y_tl, x_br, y_br, class, object confidence score)\n    \"\"\"\n\n    img_copy = np.array(img).astype('uint8')\n\n    if bbox is not None:\n        for bbox_idx in range(bbox.shape[0]):\n            one_bbox = bbox[bbox_idx][:4]\n            cv2.rectangle(img_copy, (one_bbox[0], one_bbox[1]), (one_bbox[2],\n                        one_bbox[3]), (255, 0, 0), 2)\n            if bbox.shape[1] > 4: # if class info provided\n                obj_cls = idx_to_class[bbox[bbox_idx][4].item()]\n                cv2.putText(img_copy, '%s' % (obj_cls),\n                          (one_bbox[0], one_bbox[1]+15),\n                          cv2.FONT_HERSHEY_PLAIN, 1.0, (0, 0, 255), thickness=1)\n\n    if pred is not None:\n        for bbox_idx in range(pred.shape[0]):\n            one_bbox = pred[bbox_idx][:4]\n            cv2.rectangle(img_copy, (one_bbox[0], one_bbox[1]), (one_bbox[2],\n                        one_bbox[3]), (0, 255, 0), 2)\n            \n            if pred.shape[1] > 4: # if class and conf score info provided\n                obj_cls = idx_to_class[pred[bbox_idx][4].item()]\n                conf_score = pred[bbox_idx][5].item()\n                cv2.putText(img_copy, '%s, %.2f' % (obj_cls, conf_score),\n                            (one_bbox[0], one_bbox[1]+15),\n                            cv2.FONT_HERSHEY_PLAIN, 1.0, (0, 0, 255), thickness=1)\n\n    plt.imshow(img_copy)\n    plt.axis('off')\n    plt.show()"
  },
  {
    "path": "eecs498-007/A5/single_stage_detector.py",
    "content": "import time\nimport math\nimport torch \nimport torch.nn as nn\nfrom torch import optim\nimport torchvision\nfrom a5_helper import *\nimport matplotlib.pyplot as plt\n\n\ndef hello_single_stage_detector():\n    print(\"Hello from single_stage_detector.py!\")\n\n\ndef GenerateAnchor(anc, grid):\n  \"\"\"\n  Anchor generator.\n\n  Inputs:\n  - anc: Tensor of shape (A, 2) giving the shapes of anchor boxes to consider at\n    each point in the grid. anc[a] = (w, h) gives the width and height of the\n    a'th anchor shape.\n  - grid: Tensor of shape (B, H', W', 2) giving the (x, y) coordinates of the\n    center of each feature from the backbone feature map. This is the tensor\n    returned from GenerateGrid.\n  \n  Outputs:\n  - anchors: Tensor of shape (B, A, H', W', 4) giving the positions of all\n    anchor boxes for the entire image. anchors[b, a, h, w] is an anchor box\n    centered at grid[b, h, w], whose shape is given by anc[a]; we parameterize\n    boxes as anchors[b, a, h, w] = (x_tl, y_tl, x_br, y_br), where (x_tl, y_tl)\n    and (x_br, y_br) give the xy coordinates of the top-left and bottom-right\n    corners of the box.\n  \"\"\"\n  anchors = None\n  ##############################################################################\n  # TODO: Given a set of anchor shapes and a grid cell on the activation map,  #\n  # generate all the anchor coordinates for each image. Support batch input.   #\n  ##############################################################################\n  # Replace \"pass\" statement with your code\n\n  # Initialize the 'anchors' list which will contain anchors for each image\n  # (actually, they will be \"torch tensors\") in the current batch.\n  anchors = []\n\n  # Get H', W' and A.\n  Hp, Wp = grid.shape[1], grid.shape[2]\n  A = anc.shape[0]\n\n  # Loop over minibatch's grids.\n  # Current image grid (curr_grid) has shape of (H', W', 2)\n  for curr_grid in grid:\n    # Initialize current image grid anchors.\n    curr_grid_anc = torch.zeros((A, Hp, Wp, 4))\n\n    # Loop over current image line's grids (curr_gridl).\n    # 'curr_gridl' has shape of (W', 2)\n    # And track line number (line).\n    for line, curr_gridl in enumerate(curr_grid):\n      # Loop over current line columns (curr_gridc).\n      # 'curr_gridc' has shape of (2,)\n      # And track column number (col).\n      for col, curr_gridc in enumerate(curr_gridl):\n        # Get the (x, y) center coordinates of the current grid.\n        x, y = curr_gridc[0].item(), curr_gridc[1].item()\n\n        # Loop over pre-defined anchor boxes.\n        # Current anchor box (curr_anc) has shape of (2,)\n        # And track anchor box's index.\n        for idx_anc, curr_anc in enumerate(anc):\n          # Get current anchor box's height and width.\n          anc_h, anc_w = curr_anc[0], curr_anc[1]\n          # Compute the position of 'curr_anc' relative to 'curr_gridc'\n          # Recall: The position is defined as the xy coordinates of\n          # the top-left and bottom-right corners of the box.\n          x_tl, y_tl = (x - anc_h / 2), (y - anc_w / 2)\n          x_br, y_br = (x + anc_h / 2), (y + anc_w / 2)\n          # Add the position of 'curr_anc' to the current image grid anchors.\n          curr_grid_anc[idx_anc, line, col] = torch.tensor((x_tl, y_tl, x_br, y_br))\n    # Add the current image grid anchors to the list.\n    anchors.append(curr_grid_anc)\n\n  # Transform 'anchors' from 'list' to torch's 'tensor' and move it to the GPU (cuda).\n  anchors = torch.stack(anchors).cuda()\n\n  ##############################################################################\n  #                               END OF YOUR CODE                             #\n  ##############################################################################\n\n  return anchors\n\n\ndef GenerateProposal(anchors, offsets, method='YOLO'):\n  \"\"\"\n  Proposal generator.\n\n  Inputs:\n  - anchors: Anchor boxes, of shape (B, A, H', W', 4). Anchors are represented\n    by the coordinates of their top-left and bottom-right corners.\n  - offsets: Transformations of shape (B, A, H', W', 4) that will be used to\n    convert anchor boxes into region proposals. The transformation\n    offsets[b, a, h, w] = (tx, ty, tw, th) will be applied to the anchor\n    anchors[b, a, h, w]. For YOLO, assume that tx and ty are in the range\n    (-0.5, 0.5).\n  - method: Which transformation formula to use, either 'YOLO' or 'FasterRCNN'\n  \n  Outputs:\n  - proposals: Region proposals of shape (B, A, H', W', 4), represented by the\n    coordinates of their top-left and bottom-right corners. Applying the\n    transform offsets[b, a, h, w] to the anchor [b, a, h, w] should give the\n    proposal proposals[b, a, h, w].\n  \n  \"\"\"\n  assert(method in ['YOLO', 'FasterRCNN'])\n  proposals = None\n  ##############################################################################\n  # TODO: Given anchor coordinates and the proposed offset for each anchor,    #\n  # compute the proposal coordinates using the transformation formulas above.  #\n  ##############################################################################\n  # Replace \"pass\" statement with your code\n\n  # Create 'center_anchors' tensor having the same shape as 'anchors'.\n  center_anchors = torch.zeros_like(anchors)\n  # Compute the centered 4 values for each anchor.\n  # Convert the original 'anchors' tensor (the 4 values are: coordinates of top-left and\n  # bottom-right corners) to 'center_anchors' (the 4 values are: center xy coordinates,\n  # height and width).\n  # Of course, anchors.shape == center_anchors.shape == (B, A, H', W', 4)\n  center_anchors[..., 0] = (anchors[..., 0] + anchors[..., 2]) / 2\n  center_anchors[..., 1] = (anchors[..., 1] + anchors[..., 3]) / 2\n  center_anchors[..., 2] = anchors[..., 2] - anchors[..., 0]\n  center_anchors[..., 3] = anchors[..., 3] - anchors[..., 1]\n\n  # Center's shift differs depending on the method used.\n  if method == 'YOLO':\n    center_anchors[..., 0] += offsets[..., 0]\n    center_anchors[..., 1] += offsets[..., 1]\n  else:\n    # Choosen 'method' is 'FasterRCNN'.\n    # Note that \"detach()\" is needed to prevent a PyTorch error in \"two_stage_detector.py\".\n    center_anchors[..., 0] += (offsets[..., 0] * center_anchors[..., 2]).detach()\n    center_anchors[..., 1] += (offsets[..., 1] * center_anchors[..., 3]).detach()\n\n  # Height/width's scale is similar for 'YOLO' and 'FasterRCNN'.\n  center_anchors[..., 2] *= torch.exp(offsets[..., 2])\n  center_anchors[..., 3] *= torch.exp(offsets[..., 3])\n\n  # Create 'proposals' tensor having the same shape as 'center_anchors'.\n  proposals = torch.zeros_like(center_anchors)\n  # Re-convert the 'center_anchors' tensor (the 4 values are: center xy coordinates,\n  # height and width) to 'proposals' (the 4 values are: coordinates of top-left and \n  # bottom-right corners).\n  proposals[..., 0] = center_anchors[..., 0] - center_anchors[..., 2] / 2 \n  proposals[..., 1] = center_anchors[..., 1] - center_anchors[..., 3] / 2\n  proposals[..., 2] = center_anchors[..., 0] + center_anchors[..., 2] / 2\n  proposals[..., 3] = center_anchors[..., 1] + center_anchors[..., 3] / 2\n\n  ##############################################################################\n  #                               END OF YOUR CODE                             #\n  ##############################################################################\n\n  return proposals\n\n\ndef IoU(proposals, bboxes):\n  \"\"\"\n  Compute intersection over union between sets of bounding boxes.\n\n  Inputs:\n  - proposals: Proposals of shape (B, A, H', W', 4)\n  - bboxes: Ground-truth boxes from the DataLoader of shape (B, N, 5).\n    Each ground-truth box is represented as tuple (x_lr, y_lr, x_rb, y_rb, class).\n    If image i has fewer than N boxes, then bboxes[i] will be padded with extra\n    rows of -1.\n  \n  Outputs:\n  - iou_mat: IoU matrix of shape (B, A*H'*W', N) where iou_mat[b, i, n] gives\n    the IoU between one element of proposals[b] and bboxes[b, n].\n\n  For this implementation you DO NOT need to filter invalid proposals or boxes;\n  in particular you don't need any special handling for bboxxes that are padded\n  with -1.\n  \"\"\"\n  iou_mat = None\n  ##############################################################################\n  # TODO: Compute the Intersection over Union (IoU) on proposals and GT boxes. #\n  # No need to filter invalid proposals/bboxes (i.e., allow region area <= 0). #\n  # However, you need to make sure to compute the IoU correctly (it should be  #\n  # 0 in those cases.                                                          # \n  # You need to ensure your implementation is efficient (no for loops).        #\n  # HINT:                                                                      #\n  # IoU = Area of Intersection / Area of Union, where                          #\n  # Area of Union = Area of Proposal + Area of BBox - Area of Intersection     #\n  # and the Area of Intersection can be computed using the top-left corner and #\n  # bottom-right corner of proposal and bbox. Think about their relationships. #\n  ##############################################################################\n  # Replace \"pass\" statement with your code\n\n  # Reduce 'proposals' shape by flattening its intern dimensions.\n  # Transorm 'proposals' from a 5-D tensor of shape (B, A, H', W', 4)\n  # to 3-D tensor of shape (B, A*H'*W', 4)\n  proposals = torch.flatten(proposals, start_dim=1, end_dim=-2)\n\n  # Compute for each proposal, its rectangle area: (x_rb - x_lr) * (y_rb - y_lr)\n  # Output is a 2-D tensor of shape (B, A*H'*W')\n  proposals_area = (proposals[..., 2] - proposals[..., 0]) * \\\n                    (proposals[..., 3] - proposals[..., 1])\n\n  # Add one dimension to 'bboxes'. This is needed for further operations.\n  # 'bboxes' will have a shape of (B, 1, N, 5)\n  bboxes = torch.unsqueeze(bboxes, dim=1)\n\n  # Compute for each bbox, its rectangle area.\n  # Output is a 3-D tensor of shape (B, 1, N)\n  bboxes_area = (bboxes[..., 2] - bboxes[..., 0]) * \\\n                (bboxes[..., 3] - bboxes[..., 1])\n\n  # Compute the area of 'redundent union' (union without subtracting the intersection).\n  # \"transpose\" operation was used to allow tensors fit the broadcasting.\n  # In terms of shapes, this operation will result in:\n  # red_union.shape = [(B, A*H'*W').T + (B, 1, N).T].T\n  #                 = [(A*H'*W', B) + (N, 1, B)].T\n  #                 = (N, A*H'*W', B).T\n  #                 = (B, A*H'*W', N)\n  # 'red_union' is a 3-D tensor of shape (B, A*H'*W', N)\n  red_union = (proposals_area.T + bboxes_area.T).T\n\n  # Add one dimension to 'bboxes'. This is needed for further operations.\n  # 'proposals' will be a 4-D tensor of shape (B, A*H'*W', 1, 4)\n  proposals = torch.unsqueeze(proposals, dim=2)\n\n  # Get the maximums/minimums between 'bboxes' coordinates and proposals 'coordinates'\n  # Note that for 'bboxes', we don't take the last value of the last axis since it represents the class.\n  # Output is a 4-D tensor of shape (B, A*H'*W', N, 4)\n  maxs = torch.maximum(bboxes[..., :4], proposals)\n  mins = torch.minimum(bboxes[..., :4], proposals)\n\n  # Compute the intersections heights (min_x_rb - max_x_lr) and widths (min_y_rb - max_y_lr)\n  # Output is a 3-D tensor of shape (B, A*H'*W', N)\n  inter_heights = mins[..., 2] - maxs[..., 0]\n  inter_widths = mins[..., 3] - maxs[..., 1]\n\n  # Turn all negative heights/widths to zero.\n  # This should be done BEFORE computing the intersection to avoid the case where\n  # both 'inter_heights' and 'inter_widths' are negative, which will result in a\n  # positive value (which is incorrect, we expect this case to result in 0).\n  inter_heights[inter_heights < 0] = 0\n  inter_widths[inter_widths < 0] = 0\n\n  # Compute the intersection rectangle area.\n  inter_area = inter_heights * inter_widths\n\n  # Compute the IoU, which equals to: Area of Intersection / Area of Union\n  iou_mat = inter_area / (red_union - inter_area)\n\n  ##############################################################################\n  #                               END OF YOUR CODE                             #\n  ##############################################################################\n  return iou_mat\n\n\nclass PredictionNetwork(nn.Module):\n  def __init__(self, in_dim, hidden_dim=128, num_anchors=9, num_classes=20, drop_ratio=0.3):\n    super().__init__()\n\n    assert(num_classes != 0 and num_anchors != 0)\n    self.num_classes = num_classes\n    self.num_anchors = num_anchors\n\n    ##############################################################################\n    # TODO: Set up a network that will predict outputs for all anchors. This     #\n    # network should have a 1x1 convolution with hidden_dim filters, followed    #\n    # by a Dropout layer with p=drop_ratio, a Leaky ReLU nonlinearity, and       #\n    # finally another 1x1 convolution layer to predict all outputs. You can      #\n    # use an nn.Sequential for this network, and store it in a member variable.  #\n    # HINT: The output should be of shape (B, 5*A+C, 7, 7), where                #\n    # A=self.num_anchors and C=self.num_classes.                                 #\n    ##############################################################################\n    # Make sure to name your prediction network pred_layer.\n    self.pred_layer = None\n    # Replace \"pass\" statement with your code\n    \n    # Compute the last (2nd) convolution layer output channels: 5*A+C\n    last_cv_out = 5 * self.num_anchors + self.num_classes\n\n    self.pred_layer = nn.Sequential(\n      nn.Conv2d(in_channels=in_dim, out_channels=hidden_dim, kernel_size=1),\n      nn.Dropout2d(p=drop_ratio),\n      nn.LeakyReLU(),\n      nn.Conv2d(in_channels=hidden_dim, out_channels=last_cv_out, kernel_size=1)\n    )\n\n    ##############################################################################\n    #                               END OF YOUR CODE                             #\n    ##############################################################################\n\n  def _extract_anchor_data(self, anchor_data, anchor_idx):\n    \"\"\"\n    Inputs:\n    - anchor_data: Tensor of shape (B, A, D, H, W) giving a vector of length\n      D for each of A anchors at each point in an H x W grid.\n    - anchor_idx: int64 Tensor of shape (M,) giving anchor indices to extract\n\n    Returns:\n    - extracted_anchors: Tensor of shape (M, D) giving anchor data for each\n      of the anchors specified by anchor_idx.\n    \"\"\"\n    B, A, D, H, W = anchor_data.shape\n    anchor_data = anchor_data.permute(0, 1, 3, 4, 2).contiguous().view(-1, D)\n    extracted_anchors = anchor_data[anchor_idx]\n    return extracted_anchors\n  \n  def _extract_class_scores(self, all_scores, anchor_idx):\n    \"\"\"\n    Inputs:\n    - all_scores: Tensor of shape (B, C, H, W) giving classification scores for\n      C classes at each point in an H x W grid.\n    - anchor_idx: int64 Tensor of shape (M,) giving the indices of anchors at\n      which to extract classification scores\n\n    Returns:\n    - extracted_scores: Tensor of shape (M, C) giving the classification scores\n      for each of the anchors specified by anchor_idx.\n    \"\"\"\n    B, C, H, W = all_scores.shape\n    A = self.num_anchors\n    all_scores = all_scores.contiguous().permute(0, 2, 3, 1).contiguous()\n    all_scores = all_scores.view(B, 1, H, W, C).expand(B, A, H, W, C)\n    all_scores = all_scores.reshape(B * A * H * W, C)\n    extracted_scores = all_scores[anchor_idx]\n    return extracted_scores\n\n  def forward(self, features, pos_anchor_idx=None, neg_anchor_idx=None):\n    \"\"\"\n    Run the forward pass of the network to predict outputs given features\n    from the backbone network.\n\n    Inputs:\n    - features: Tensor of shape (B, in_dim, 7, 7) giving image features computed\n      by the backbone network.\n    - pos_anchor_idx: int64 Tensor of shape (M,) giving the indices of anchors\n      marked as positive. These are only given during training; at test-time\n      this should be None.\n    - neg_anchor_idx: int64 Tensor of shape (M,) giving the indices of anchors\n      marked as negative. These are only given at training; at test-time this\n      should be None.\n    \n    The outputs from this method are different during training and inference.\n    \n    During training, pos_anchor_idx and neg_anchor_idx are given and identify\n    which anchors should be positive and negative, and this forward pass needs\n    to extract only the predictions for the positive and negative anchors.\n\n    During inference, only features are provided and this method needs to return\n    predictions for all anchors.\n\n    Outputs (During training):\n    - conf_scores: Tensor of shape (2*M, 1) giving the predicted classification\n      scores for positive anchors and negative anchors (in that order).\n    - offsets: Tensor of shape (M, 4) giving predicted transformation for\n      positive anchors.\n    - class_scores: Tensor of shape (M, C) giving classification scores for\n      positive anchors.\n\n    Outputs (During inference):\n    - conf_scores: Tensor of shape (B, A, H, W) giving predicted classification\n      scores for all anchors.\n    - offsets: Tensor of shape (B, A, 4, H, W) giving predicted transformations\n      all all anchors.\n    - class_scores: Tensor of shape (B, C, H, W) giving classification scores for\n      each spatial position.\n    \"\"\"\n    conf_scores, offsets, class_scores = None, None, None\n    ############################################################################\n    # TODO: Use backbone features to predict conf_scores, offsets, and         #\n    # class_scores. Make sure conf_scores is between 0 and 1 by squashing the  #\n    # network output with a sigmoid. Also make sure the first two elements t^x #\n    # and t^y of offsets are between -0.5 and 0.5 by squashing with a sigmoid  #\n    # and subtracting 0.5.                                                     #\n    #                                                                          #\n    # During training you need to extract the outputs for only the positive    #\n    # and negative anchors as specified above.                                 #\n    #                                                                          #\n    # HINT: You can use the provided helper methods self._extract_anchor_data  #\n    # and self._extract_class_scores to extract information for positive and   #\n    # negative anchors specified by pos_anchor_idx and neg_anchor_idx.         #\n    ############################################################################\n    # Replace \"pass\" statement with your code\n    \n    # Get some parameter values, needed for next operations.\n    B, _, H, W = features.shape\n    A = self.num_anchors\n\n    # Compute the output from the prediction network, feeded with 'features'.\n    # 'out_anchors' is a 4-D tensor of shape (B, 5*A+C, H, W)\n    out_anchors = self.pred_layer(features)\n\n    # Get all confidence scores (situated in the first position, for each anchor).\n    all_conf_scores = out_anchors[:, 0:5*A:5, ...]\n    # Transform 'all_conf_scores' to (0,1] range by squashing it with a sigmoid.\n    all_conf_scores = torch.sigmoid(all_conf_scores)\n\n    # Get all offsets.\n    # First, retrieve all anchor information (offsets + confidence score).\n    all_offsets = out_anchors[:, :5*A, ...]\n    # Then, reshape 'all_offsets'. So that, all anchor information are in the 3rd dimension.\n    all_offsets = all_offsets.reshape((B, A, 5, H, W))\n    # Finally, ignore the confidence score info (in 1st position).\n    # Now, 'all_offsets' is a 5-D tensor of shape (B, A, 4, H, W)\n    all_offsets = all_offsets[:, :, 1:, ...]\n    # Also, transform the first two elements t^x and t^y of offsets to (-0.5,0.5] range.\n    all_offsets[:, :, :2, ...] = torch.sigmoid(all_offsets[:, :, :2, ...]) - 0.5\n\n    # Get all classification scores, situated in the Cs last positions of 'out_anchors'.\n    all_class_scores = out_anchors[:, 5*A:, ...]\n\n    if pos_anchor_idx is not None:  # Training mode.\n      # Reshape 'all_conf_scores' by adding one dimension.\n      all_conf_scores = all_conf_scores.reshape((B, A, 1, H, W))\n      # Confidence scores are retrieved for both positive and negative anchors.\n      pos_anc_conf = self._extract_anchor_data(all_conf_scores, pos_anchor_idx)\n      neg_anc_conf = self._extract_anchor_data(all_conf_scores, neg_anchor_idx)\n      conf_scores = torch.cat((pos_anc_conf, neg_anc_conf))\n      # Offsets are retrieved only for positive anchors.\n      offsets = self._extract_anchor_data(all_offsets, pos_anchor_idx)\n      # Classification scores are retrieved only for positive anchors.\n      class_scores = self._extract_class_scores(all_class_scores, pos_anchor_idx)\n\n    else:  # Inference mode.\n      # Return needed info \"as they are\" (i.e. without positive/negative anchor distinction).\n      conf_scores = all_conf_scores\n      offsets = all_offsets\n      class_scores = all_class_scores\n\n    ##############################################################################\n    #                               END OF YOUR CODE                             #\n    ##############################################################################\n    return conf_scores, offsets, class_scores\n\n\nclass SingleStageDetector(nn.Module):\n  def __init__(self):\n    super().__init__()\n\n    self.anchor_list = torch.tensor([[1., 1], [2, 2], [3, 3], [4, 4], [5, 5], [2, 3], [3, 2], [3, 5], [5, 3]]) # READ ONLY\n    self.feat_extractor = FeatureExtractor()\n    self.num_classes = 20\n    self.pred_network = PredictionNetwork(1280, num_anchors=self.anchor_list.shape[0], \\\n                                          num_classes=self.num_classes)\n  def forward(self, images, bboxes):\n    \"\"\"\n    Training-time forward pass for the single-stage detector.\n\n    Inputs:\n    - images: Input images, of shape (B, 3, 224, 224)\n    - bboxes: GT bounding boxes of shape (B, N, 5) (padded)\n\n    Outputs:\n    - total_loss: Torch scalar giving the total loss for the batch.\n    \"\"\"\n    # weights to multiple to each loss term\n    w_conf = 1 # for conf_scores\n    w_reg = 1 # for offsets\n    w_cls = 1 # for class_prob\n\n    total_loss = None\n    ##############################################################################\n    # TODO: Implement the forward pass of SingleStageDetector.                   #\n    # A few key steps are outlined as follows:                                   #\n    # i) Image feature extraction,                                               #\n    # ii) Grid and anchor generation,                                            #\n    # iii) Compute IoU between anchors and GT boxes and then determine activated/#\n    #      negative anchors, and GT_conf_scores, GT_offsets, GT_class,           #\n    # iv) Compute conf_scores, offsets, class_prob through the prediction network#\n    # v) Compute the total_loss which is formulated as:                          #\n    #    total_loss = w_conf * conf_loss + w_reg * reg_loss + w_cls * cls_loss,  #\n    #    where conf_loss is determined by ConfScoreRegression, w_reg by          #\n    #    BboxRegression, and w_cls by ObjectClassification.                      #\n    # HINT: Set `neg_thresh=0.2` in ReferenceOnActivatedAnchors in this notebook #\n    #       (A5-1) for a better performance than with the default value.         #\n    ##############################################################################\n    # Replace \"pass\" statement with your code\n\n    batch_size = images.shape[0]\n\n    # i) Image feature extraction (using the backbone CNN network).\n    features = self.feat_extractor(images)\n\n    # ii) Grid and anchor generation.\n    grid = GenerateGrid(batch_size)\n    anchors = GenerateAnchor(self.anchor_list, grid)\n\n    # iii) Determine activated (positive), negative anchors, and GT_conf_scores, GT_offsets, GT_class.\n    iou_mat = IoU(anchors, bboxes)\n    activated_anc_ind, negative_anc_ind, GT_conf_scores, GT_offsets, GT_class, _, _ = \\\n        ReferenceOnActivatedAnchors(anchors, bboxes, grid, iou_mat, pos_thresh=0.7, \n                                    neg_thresh=0.2, method='YOLO')\n\n    # iv) Compute conf_scores, offsets, class_scores through the prediction network.\n    conf_scores, offsets, class_scores = self.pred_network(features, activated_anc_ind, negative_anc_ind)\n\n    # v) Compute the total loss.\n    conf_loss = ConfScoreRegression(conf_scores, GT_conf_scores)\n    reg_loss = BboxRegression(offsets, GT_offsets)\n    # Compute the number of anchors per image.\n    # 'anchors' shape is (B, A, H, W, 4). that is, 'anc_per_img' equals to: A*H*W\n    _, A, H, W, _ = anchors.shape\n    anc_per_img = A * H * W\n    cls_loss = ObjectClassification(class_scores, GT_class, batch_size, anc_per_img, activated_anc_ind)\n\n    total_loss = w_conf * conf_loss + w_reg * reg_loss + w_cls * cls_loss\n\n    ##############################################################################\n    #                               END OF YOUR CODE                             #\n    ##############################################################################\n\n    return total_loss\n  \n  def inference(self, images, thresh=0.5, nms_thresh=0.7):\n    \"\"\"\"\n    Inference-time forward pass for the single stage detector.\n\n    Inputs:\n    - images: Input images\n    - thresh: Threshold value on confidence scores\n    - nms_thresh: Threshold value on NMS\n\n    Outputs:\n    - final_propsals: Keeped proposals after confidence score thresholding and NMS,\n                      a list of B (*x4) tensors\n    - final_conf_scores: Corresponding confidence scores, a list of B (*x1) tensors\n    - final_class: Corresponding class predictions, a list of B  (*x1) tensors\n    \"\"\"\n    final_proposals, final_conf_scores, final_class = [], [], []\n    ##############################################################################\n    # TODO: Predicting the final proposal coordinates `final_proposals`,         #\n    # confidence scores `final_conf_scores`, and the class index `final_class`.  #\n    # The overall steps are similar to the forward pass but now you do not need  #\n    # to decide the activated nor negative anchors.                              #\n    # HINT: Thresholding the conf_scores based on the threshold value `thresh`.  #\n    # Then, apply NMS (torchvision.ops.nms) to the filtered proposals given the  #\n    # threshold `nms_thresh`.                                                    #\n    # The class index is determined by the class with the maximal probability.   #\n    # Note that `final_propsals`, `final_conf_scores`, and `final_class` are all #\n    # lists of B 2-D tensors (you may need to unsqueeze dim=1 for the last two). #\n    ##############################################################################\n    # Replace \"pass\" statement with your code\n\n    # Note that in the code below, there is a lot of tensor's reshapes.\n    # These operations are -unfortunately- needed to match different functions'\n    # input tensors shapes criteria.\n\n    batch_size = images.shape[0]\n\n    # Image feature extraction (using the backbone CNN network).\n    features = self.feat_extractor(images)\n\n    # Grid and anchor generation.\n    grid = GenerateGrid(batch_size)\n    anchors = GenerateAnchor(self.anchor_list, grid)\n\n    B, A, Hp, Wp, _ = anchors.shape\n\n    # Pass 'features' through the prediction network (with inference mode).\n    conf_scores, offsets, class_scores = self.pred_network(features)\n\n    # Reshape 'conf_scores' from (B, A, H', W') to (B, A*H'*W')\n    conf_scores = torch.flatten(conf_scores, start_dim=1)\n\n    # Reshape 'offsets' from (B, A, 4, H', W') to (B, A, H', W', 4)\n    offsets = torch.transpose(offsets, 2, 4)\n\n    # Get the indices of maximums within 'class_scores'.\n    # 'class_scores' has shape of (B, C, H', W')\n    # 'class_indices' (the output) has shape of (B, H', W')\n    class_indices = torch.max(class_scores, dim=1)[1]\n    # Reshape 'class_indices' from (B, H', W') to (B, 1, H', W')\n    class_indices = class_indices.unsqueeze(1)\n    # Reshape via broadcasting 'class_indices' from (B, 1, H', W') to (B, A, H', W')\n    class_indices = torch.broadcast_to(class_indices, (B, A, Hp, Wp))\n    # Reshape 'class_indices' from (B, A, H', W') to (B, A*H'*W')\n    class_indices = torch.flatten(class_indices, start_dim=1)\n\n    proposals = GenerateProposal(anchors, offsets, method='YOLO')\n    # Reshape 'proposals' from (B, A, H', W', 4) to (B, A*H'*W', 4)\n    proposals = torch.flatten(proposals, start_dim=1, end_dim=-2)\n\n    final_proposals, final_conf_scores, final_class = [], [], []\n\n    for idx in range(batch_size):\n      # Get current image's proposals, conf_scores and class_indices.\n      cr_proposal = proposals[idx]       # Tensor's shape: (A*H'*W', 4)\n      cr_conf_scores = conf_scores[idx]  # Tensor's shape: (A*H'*W',)\n      cr_classes = class_indices[idx]    # Tensor's shape: (A*H'*W',)\n\n      # Define a boolean mask which indicates indexes to delete.\n      del_idx_mask = ~ (cr_conf_scores < thresh)\n\n      # Apply the mask on current proposals, conf_scores and class_indices.\n      cr_conf_scores = cr_conf_scores[del_idx_mask]\n      # Get the number of 'cr_conf_scores' that have been [K]ept.\n      K = cr_conf_scores.shape[0]\n\n      # 'cr_classes' will have a shape of (K, 1)\n      cr_classes = cr_classes[del_idx_mask].unsqueeze(1)\n\n      # Reshape 'del_idx_mask' from (A*H'*W',) to (A*H'*W', 1)\n      del_idx_mask = del_idx_mask.unsqueeze(1)\n      # Reshape via broadcasting 'del_idx_mask' from (A*H'*W', 1) to (A*H'*W', 4)\n      del_idx_mask = torch.broadcast_to(del_idx_mask, (A*Hp*Wp, 4))\n\n      # 'cr_proposal' will have a shape of (K, 4)\n      cr_proposal = cr_proposal[del_idx_mask].reshape(K, 4)\n\n      # Get indices of kept proposals (using NMS).\n      icr_proposal = torchvision.ops.nms(cr_proposal, cr_conf_scores, nms_thresh)\n\n      final_proposals.append(cr_proposal[icr_proposal])\n      final_conf_scores.append(cr_conf_scores[icr_proposal].unsqueeze(1))\n      final_class.append(cr_classes[icr_proposal])\n\n    ##############################################################################\n    #                               END OF YOUR CODE                             #\n    ##############################################################################\n    return final_proposals, final_conf_scores, final_class\n\n\ndef nms(boxes, scores, iou_threshold=0.5, topk=None):\n  \"\"\"\n  Non-maximum suppression removes overlapping bounding boxes.\n\n  Inputs:\n  - boxes: top-left and bottom-right coordinate values of the bounding boxes\n    to perform NMS on, of shape Nx4\n  - scores: scores for each one of the boxes, of shape N\n  - iou_threshold: discards all overlapping boxes with IoU > iou_threshold; float\n  - topk: If this is not None, then return only the topk highest-scoring boxes.\n    Otherwise if this is None, then return all boxes that pass NMS.\n\n  Outputs:\n  - keep: torch.long tensor with the indices of the elements that have been\n    kept by NMS, sorted in decreasing order of scores; of shape [num_kept_boxes]\n  \"\"\"\n\n  if (not boxes.numel()) or (not scores.numel()):\n    return torch.zeros(0, dtype=torch.long)\n\n  keep = None\n  #############################################################################\n  # TODO: Implement non-maximum suppression which iterates the following:     #\n  #       1. Select the highest-scoring box among the remaining ones,         #\n  #          which has not been chosen in this step before                    #\n  #       2. Eliminate boxes with IoU > threshold                             #\n  #       3. If any boxes remain, GOTO 1                                      #\n  #       Your implementation should not depend on a specific device type;    #\n  #       you can use the device of the input if necessary.                   #\n  # HINT: You can refer to the torchvision library code:                      #\n  #   github.com/pytorch/vision/blob/master/torchvision/csrc/cpu/nms_cpu.cpp  #\n  #############################################################################\n  # Replace \"pass\" statement with your code\n\n  # Initialize a list which will contain indices of boxes that will be kept by NMS.\n  keep = []\n\n  # Get indices of sorted scores in decreasing order.\n  indices = torch.sort(scores, descending=True)[1]\n  # Re-sort boxes w.r.t. indices of sorted scores.\n  boxes = boxes[indices]\n\n  # Keep looping as long as there are boxes.\n  while len(boxes) != 0:\n    # Add the currect \"highest score box\" index to the 'keep' list and save this box in 'hbox'.\n    keep.append(indices[0])\n    hbox = boxes[0]\n\n    # Remove the \"highest score box\" from both 'boxes' and 'indices'.\n    boxes = boxes[1:]\n    indices = indices[1:]\n\n    # Reshape 'hbox' and 'rboxes' in order to fit \"IoU\" function (defined previously).\n    hbox = hbox.reshape(1, 1, 4)\n    # The \"-1\" in the 2nd axis was used to determine the number of boxes automatically.\n    rboxes = boxes.reshape(1, -1, 1, 1, 4)\n    # Compute IoUs between [all]'boxes' and the current \"highest score box\".\n    # \"squeeze\" will transform the output's shape to (<number_boxes>,)\n    iou_mat = IoU(rboxes, hbox).squeeze()\n\n    # Get the boxes' indices for which IoU > threshold.\n    # Actually, we need the negation (~) of this condition.\n    # 'del_idx_mask' is defined by: mask[i] = True (i.e. keep index); if (IoU <= threshold) \n    #                                         False (i.e. don't keep index); otherwise\n    del_idx_mask = ~ (iou_mat > iou_threshold)\n    # Delete elements in both 'indices' and 'boxes' w.r.t. 'del_idx_mask'\n    # Note that the mask usage will keep 'indices' and 'boxes' sorted.\n    indices = indices[del_idx_mask]\n    boxes = boxes[del_idx_mask]\n\n  # If 'topk' is defined, then keep only the topk highest-scoring boxes.\n  if topk is not None:\n    keep = keep[:topk]\n\n  keep = torch.tensor(keep)\n\n  #############################################################################\n  #                              END OF YOUR CODE                             #\n  #############################################################################\n  return keep\n\ndef ConfScoreRegression(conf_scores, GT_conf_scores):\n  \"\"\"\n  Use sum-squared error as in YOLO\n\n  Inputs:\n  - conf_scores: Predicted confidence scores\n  - GT_conf_scores: GT confidence scores\n  \n  Outputs:\n  - conf_score_loss\n  \"\"\"\n  # the target conf_scores for negative samples are zeros\n  GT_conf_scores = torch.cat((torch.ones_like(GT_conf_scores), \\\n                              torch.zeros_like(GT_conf_scores)), dim=0).view(-1, 1)\n  conf_score_loss = torch.sum((conf_scores - GT_conf_scores)**2) * 1. / GT_conf_scores.shape[0]\n  return conf_score_loss\n\n\ndef BboxRegression(offsets, GT_offsets):\n  \"\"\"\"\n  Use sum-squared error as in YOLO\n  For both xy and wh\n\n  Inputs:\n  - offsets: Predicted box offsets\n  - GT_offsets: GT box offsets\n  \n  Outputs:\n  - bbox_reg_loss\n  \"\"\"\n  bbox_reg_loss = torch.sum((offsets - GT_offsets)**2) * 1. / GT_offsets.shape[0]\n  return bbox_reg_loss\n\n"
  },
  {
    "path": "eecs498-007/A5/two_stage_detector.py",
    "content": "import time\nimport math\nimport torch \nimport torch.nn as nn\nfrom torch import optim\nimport torchvision\nfrom a5_helper import *\nimport matplotlib.pyplot as plt\nfrom single_stage_detector import GenerateAnchor, GenerateProposal, IoU\n\n\ndef hello_two_stage_detector():\n    print(\"Hello from two_stage_detector.py!\")\n\nclass ProposalModule(nn.Module):\n  def __init__(self, in_dim, hidden_dim=256, num_anchors=9, drop_ratio=0.3):\n    super().__init__()\n\n    assert(num_anchors != 0)\n    self.num_anchors = num_anchors\n    ##############################################################################\n    # TODO: Define the region proposal layer - a sequential module with a 3x3    #\n    # conv layer, followed by a Dropout (p=drop_ratio), a Leaky ReLU and         #\n    # a 1x1 conv.                                                                #\n    # HINT: The output should be of shape Bx(Ax6)x7x7, where A=self.num_anchors. #\n    #       Determine the padding of the 3x3 conv layer given the output dim.    #\n    ##############################################################################\n    # Make sure that your region proposal module is called pred_layer\n    self.pred_layer = None      \n    # Replace \"pass\" statement with your code\n\n    # Compute the last (2nd) convolution layer output channels: A*6\n    last_cv_out = self.num_anchors * 6\n\n    self.pred_layer = nn.Sequential(\n      nn.Conv2d(in_dim, hidden_dim, kernel_size=3, padding=1),\n      nn.Dropout2d(p=drop_ratio),\n      nn.LeakyReLU(),\n      nn.Conv2d(hidden_dim, last_cv_out, kernel_size=1)\n    )\n\n    ##############################################################################\n    #                               END OF YOUR CODE                             #\n    ##############################################################################\n\n  def _extract_anchor_data(self, anchor_data, anchor_idx):\n    \"\"\"\n    Inputs:\n    - anchor_data: Tensor of shape (B, A, D, H, W) giving a vector of length\n      D for each of A anchors at each point in an H x W grid.\n    - anchor_idx: int64 Tensor of shape (M,) giving anchor indices to extract\n\n    Returns:\n    - extracted_anchors: Tensor of shape (M, D) giving anchor data for each\n      of the anchors specified by anchor_idx.\n    \"\"\"\n    B, A, D, H, W = anchor_data.shape\n    anchor_data = anchor_data.permute(0, 1, 3, 4, 2).contiguous().view(-1, D)\n    extracted_anchors = anchor_data[anchor_idx]\n    return extracted_anchors\n\n  def forward(self, features, pos_anchor_coord=None, \\\n              pos_anchor_idx=None, neg_anchor_idx=None):\n    \"\"\"\n    Run the forward pass of the proposal module.\n\n    Inputs:\n    - features: Tensor of shape (B, in_dim, H', W') giving features from the\n      backbone network.\n    - pos_anchor_coord: Tensor of shape (M, 4) giving the coordinates of\n      positive anchors. Anchors are specified as (x_tl, y_tl, x_br, y_br) with\n      the coordinates of the top-left corner (x_tl, y_tl) and bottom-right\n      corner (x_br, y_br). During inference this is None.\n    - pos_anchor_idx: int64 Tensor of shape (M,) giving the indices of positive\n      anchors. During inference this is None.\n    - neg_anchor_idx: int64 Tensor of shape (M,) giving the indicdes of negative\n      anchors. During inference this is None.\n\n    The outputs from this module are different during training and inference.\n    \n    During training, pos_anchor_coord, pos_anchor_idx, and neg_anchor_idx are\n    all provided, and we only output predictions for the positive and negative\n    anchors. During inference, these are all None and we must output predictions\n    for all anchors.\n\n    Outputs (during training):\n    - conf_scores: Tensor of shape (2M, 2) giving the classification scores\n      (object vs background) for each of the M positive and M negative anchors.\n    - offsets: Tensor of shape (M, 4) giving predicted transforms for the\n      M positive anchors.\n    - proposals: Tensor of shape (M, 4) giving predicted region proposals for\n      the M positive anchors.\n\n    Outputs (during inference):\n    - conf_scores: Tensor of shape (B, A, 2, H', W') giving the predicted\n      classification scores (object vs background) for all anchors\n    - offsets: Tensor of shape (B, A, 4, H', W') giving the predicted transforms\n      for all anchors\n    \"\"\"\n    if pos_anchor_coord is None or pos_anchor_idx is None or neg_anchor_idx is None:\n      mode = 'eval'\n    else:\n      mode = 'train'\n    conf_scores, offsets, proposals = None, None, None\n    ############################################################################\n    # TODO: Predict classification scores (object vs background) and transforms#\n    # for all anchors. During inference, simply output predictions for all     #\n    # anchors. During training, extract the predictions for only the positive  #\n    # and negative anchors as described above, and also apply the transforms to#\n    # the positive anchors to compute the coordinates of the region proposals. #\n    #                                                                          #\n    # HINT: You can extract information about specific proposals using the     #\n    # provided helper function self._extract_anchor_data.                      #\n    # HINT: You can compute proposal coordinates using the GenerateProposal    #\n    # function from the previous notebook.                                     #\n    ############################################################################\n    # Replace \"pass\" statement with your code\n\n    # Compute the output from the prediction network, feeded with 'features'.\n    # 'out_anchors' is a 4-D tensor of shape (B, 6*A, H', W')\n    out_anchors = self.pred_layer(features)\n\n    # Get some parameter values, needed for next operations.\n    B, _, Hp, Wp = out_anchors.shape\n    A = self.num_anchors\n\n    # Reshape 'out_anchors' from (B, 6*A, H', W') to (B, A, 6, H', W')\n    out_anchors = out_anchors.reshape(B, A, 6, Hp, Wp)\n\n    # Get all confidence scores (situated in the two first positions, for each anchor).\n    # 'all_conf_scores' is a 5-D tensor of shape (B, A, 2, H', W')\n    all_conf_scores = out_anchors[:, :, :2, ...]\n\n    # Get all offsets (situated in the four last positions, for each anchor).\n    # 'all_offsets' is a 5-D tensor of shape (B, A, 4, H', W')\n    all_offsets = out_anchors[:, :, 2:, ...]\n\n    if mode == 'train':  # Training mode.\n      # Confidence scores are retrieved for both positive and negative anchors.\n      pos_anc_conf = self._extract_anchor_data(all_conf_scores, pos_anchor_idx)\n      neg_anc_conf = self._extract_anchor_data(all_conf_scores, neg_anchor_idx)\n      # Now, 'conf_scores' is a 2-D tensor of shape (2M, 2)\n      conf_scores = torch.cat((pos_anc_conf, neg_anc_conf))\n\n      # Offsets are retrieved only for positive anchors. It's shape is (M, 4)\n      offsets = self._extract_anchor_data(all_offsets, pos_anchor_idx)\n\n      # Reshape both 'offsets' and 'pos_anchor_coord' to (1, M, 1, 1, 4)\n      # This transformation is needed in order to match GenerateProposal's input shape\n      pos_anchor_offsets = offsets.reshape(1, -1, 1, 1, 4)\n      pos_anchor_coord = pos_anchor_coord.reshape(1, -1, 1, 1, 4)\n      # Get positive anchors proposals. Output shape is (M, 4)\n      proposals = GenerateProposal(pos_anchor_coord, pos_anchor_offsets, method='FasterRCNN')\n      proposals = proposals.squeeze()\n\n    elif mode == 'eval':  # Inference mode.\n      # Return needed info \"as they are\" (i.e. without positive/negative anchor distinction).\n      conf_scores = all_conf_scores\n      offsets = all_offsets\n\n    ##############################################################################\n    #                               END OF YOUR CODE                             #\n    ##############################################################################\n    if mode == 'train':\n      return conf_scores, offsets, proposals\n    elif mode == 'eval':\n      return conf_scores, offsets\n\n\ndef ConfScoreRegression(conf_scores, batch_size):\n  \"\"\"\n  Binary cross-entropy loss\n\n  Inputs:\n  - conf_scores: Predicted confidence scores, of shape (2M, 2). Assume that the\n    first M are positive samples, and the last M are negative samples.\n\n  Outputs:\n  - conf_score_loss: Torch scalar\n  \"\"\"\n  # the target conf_scores for positive samples are ones and negative are zeros\n  M = conf_scores.shape[0] // 2\n  GT_conf_scores = torch.zeros_like(conf_scores)\n  GT_conf_scores[:M, 0] = 1.\n  GT_conf_scores[M:, 1] = 1.\n\n  conf_score_loss = nn.functional.binary_cross_entropy_with_logits(conf_scores, GT_conf_scores, \\\n                                     reduction='sum') * 1. / batch_size\n  return conf_score_loss\n\n\ndef BboxRegression(offsets, GT_offsets, batch_size):\n  \"\"\"\"\n  Use SmoothL1 loss as in Faster R-CNN\n\n  Inputs:\n  - offsets: Predicted box offsets, of shape (M, 4)\n  - GT_offsets: GT box offsets, of shape (M, 4)\n  \n  Outputs:\n  - bbox_reg_loss: Torch scalar\n  \"\"\"\n  bbox_reg_loss = nn.functional.smooth_l1_loss(offsets, GT_offsets, reduction='sum') * 1. / batch_size\n  return bbox_reg_loss\n\n\nclass RPN(nn.Module):\n  def __init__(self):\n    super().__init__()\n\n    # READ ONLY\n    self.anchor_list = torch.tensor([[1., 1], [2, 2], [3, 3], [4, 4], [5, 5], [2, 3], [3, 2], [3, 5], [5, 3]])\n    self.feat_extractor = FeatureExtractor()\n    self.prop_module = ProposalModule(1280, num_anchors=self.anchor_list.shape[0])\n\n  def forward(self, images, bboxes, output_mode='loss'):\n    \"\"\"\n    Training-time forward pass for the Region Proposal Network.\n\n    Inputs:\n    - images: Tensor of shape (B, 3, 224, 224) giving input images\n    - bboxes: Tensor of ground-truth bounding boxes, returned from the DataLoader\n    - output_mode: One of 'loss' or 'all' that determines what is returned:\n      If output_mode is 'loss' then the output is:\n      - total_loss: Torch scalar giving the total RPN loss for the minibatch\n      If output_mode is 'all' then the output is:\n      - total_loss: Torch scalar giving the total RPN loss for the minibatch\n      - pos_conf_scores: Tensor of shape (M, 1) giving the object classification\n        scores (object vs background) for the positive anchors\n      - proposals: Tensor of shape (M, 4) giving the coordiantes of the region\n        proposals for the positive anchors\n      - features: Tensor of features computed from the backbone network\n      - GT_class: Tensor of shape (M,) giving the ground-truth category label\n        for the positive anchors.\n      - pos_anchor_idx: Tensor of shape (M,) giving indices of positive anchors\n      - neg_anchor_idx: Tensor of shape (M,) giving indices of negative anchors\n      - anc_per_image: Torch scalar giving the number of anchors per image.\n    \n    Outputs: See output_mode\n\n    HINT: The function ReferenceOnActivatedAnchors from the previous notebook\n    can compute many of these outputs -- you should study it in detail:\n    - pos_anchor_idx (also called activated_anc_ind)\n    - neg_anchor_idx (also called negative_anc_ind)\n    - GT_class\n    \"\"\"\n    # weights to multiply to each loss term\n    w_conf = 1 # for conf_scores\n    w_reg = 5 # for offsets\n\n    assert output_mode in ('loss', 'all'), 'invalid output mode!'\n    total_loss = None\n    conf_scores, proposals, features, GT_class, pos_anchor_idx, anc_per_img = \\\n      None, None, None, None, None, None\n    ##############################################################################\n    # TODO: Implement the forward pass of RPN.                                   #\n    # A few key steps are outlined as follows:                                   #\n    # i) Image feature extraction,                                               #\n    # ii) Grid and anchor generation,                                            #\n    # iii) Compute IoU between anchors and GT boxes and then determine activated/#\n    #      negative anchors, and GT_conf_scores, GT_offsets, GT_class,           #\n    # iv) Compute conf_scores, offsets, proposals through the region proposal    #\n    #     module                                                                 #\n    # v) Compute the total_loss for RPN which is formulated as:                  #\n    #    total_loss = w_conf * conf_loss + w_reg * reg_loss,                     #\n    #    where conf_loss is determined by ConfScoreRegression, w_reg by          #\n    #    BboxRegression. Note that RPN does not predict any class info.          #\n    #    We have written this part for you which you've already practiced earlier#\n    # HINT: Do not apply thresholding nor NMS on the proposals during training   #\n    #       as positive/negative anchors have been explicitly targeted.          #\n    ##############################################################################\n    # Replace \"pass\" statement with your code\n\n    batch_size = images.shape[0]\n\n    # i) Image feature extraction.\n    features = self.feat_extractor(images)\n\n    # ii) Grid and anchor generation.\n    grid = GenerateGrid(batch_size)\n    anchors = GenerateAnchor(self.anchor_list, grid)\n\n    # Compute the number of anchors per image.\n    # 'anchors' shape is (B, A, H, W, 4). that is, 'anc_per_img' equals to: A*H*W\n    _, A, H, W, _ = anchors.shape\n    anc_per_img = A * H * W\n\n    # iii) Determine activated (positive), negative anchors, etc.\n    iou_mat = IoU(anchors, bboxes)\n    pos_anchor_idx, neg_anchor_idx, _, GT_offsets, GT_class, activated_anc_coord, _ = \\\n        ReferenceOnActivatedAnchors(anchors, bboxes, grid, iou_mat, method='FasterRCNN')\n\n    # iv) Compute conf_scores, offsets and proposals through the RPN (with \"train\" mode).\n    conf_scores, offsets, proposals = self.prop_module(features, activated_anc_coord,\n                                                        pos_anchor_idx, neg_anchor_idx)\n\n    # v) Compute the total loss.\n    conf_loss = ConfScoreRegression(conf_scores, batch_size)\n    reg_loss = BboxRegression(offsets, GT_offsets, batch_size)\n\n    total_loss = w_conf * conf_loss + w_reg * reg_loss\n\n    ##############################################################################\n    #                               END OF YOUR CODE                             #\n    ##############################################################################\n\n    if output_mode == 'loss':\n      return total_loss\n    else:\n      return total_loss, conf_scores, proposals, features, GT_class, \\\n              pos_anchor_idx, neg_anchor_idx, anc_per_img\n\n\n  def inference(self, images, thresh=0.5, nms_thresh=0.7, mode='RPN'):\n    \"\"\"\n    Inference-time forward pass for the Region Proposal Network.\n\n    Inputs:\n    - images: Tensor of shape (B, 3, H, W) giving input images\n    - thresh: Threshold value on confidence scores. Proposals with a predicted\n      object probability above thresh should be kept. HINT: You can convert the\n      object score to an object probability using a sigmoid nonlinearity.\n    - nms_thresh: IoU threshold for non-maximum suppression\n    - mode: One of 'RPN' or 'FasterRCNN' to determine the outputs.\n\n    The region proposal network can output a variable number of region proposals\n    per input image. We assume that the input image images[i] gives rise to\n    P_i final propsals after thresholding and NMS.\n\n    NOTE: NMS is performed independently per-image!\n\n    Outputs:\n    - final_proposals: List of length B, where final_proposals[i] is a Tensor\n      of shape (P_i, 4) giving the coordinates of the predicted region proposals\n      for the input image images[i].\n    - final_conf_probs: List of length B, where final_conf_probs[i] is a\n      Tensor of shape (P_i,) giving the predicted object probabilities for each\n      predicted region proposal for images[i]. Note that these are\n      *probabilities*, not scores, so they should be between 0 and 1.\n    - features: Tensor of shape (B, D, H', W') giving the image features\n      predicted by the backbone network for each element of images.\n      If mode is \"RPN\" then this is a dummy list of zeros instead.\n    \"\"\"\n    assert mode in ('RPN', 'FasterRCNN'), 'invalid inference mode!'\n\n    features, final_conf_probs, final_proposals = None, None, None\n    ##############################################################################\n    # TODO: Predicting the RPN proposal coordinates `final_proposals` and        #\n    # confidence scores `final_conf_probs`.                                     #\n    # The overall steps are similar to the forward pass but now you do not need  #\n    # to decide the activated nor negative anchors.                              #\n    # HINT: Threshold the conf_scores based on the threshold value `thresh`.     #\n    # Then, apply NMS to the filtered proposals given the threshold `nms_thresh`.#\n    # HINT: Use `torch.no_grad` as context to speed up the computation.          #\n    ##############################################################################\n    # Replace \"pass\" statement with your code\n\n    batch_size = images.shape[0]\n\n    with torch.no_grad():  # \"no_grad\" context used to speed up the computation.\n      # Image feature extraction (using the RPN).\n      features = self.feat_extractor(images)\n\n      # Grid and anchor generation.\n      grid = GenerateGrid(batch_size)\n      anchors = GenerateAnchor(self.anchor_list, grid)\n\n      B, A, Hp, Wp, _ = anchors.shape\n\n      # Pass 'features' through the RPN network (with \"inference\" mode).\n      conf_scores, offsets = self.prop_module(features)\n\n    # Reshape 'conf_scores' from (B, A, 2, H', W') to (B, A, H', W', 2)\n    conf_scores = torch.transpose(conf_scores, 2, 4)\n    # Reshape 'conf_scores' from (B, A, H', W', 2) to (B, A*H'*W', 2)\n    conf_scores = torch.flatten(conf_scores, start_dim=1, end_dim=-2)\n    # Transform 'conf_scores' into probabilities, by squashing them into (0,1) range.\n    conf_probs = torch.sigmoid(conf_scores)\n    # Retrieve only object's probability, we don't care about the 'background' prob.\n    # Now, 'conf_probs' will have a shape of (B, A*H'*W')\n    conf_probs = conf_probs[..., 0]\n\n    # Reshape 'offsets' from (B, A, 4, H', W') to (B, A, H', W', 4)\n    offsets = torch.transpose(offsets, 2, 4)\n\n    proposals = GenerateProposal(anchors, offsets, method='FasterRCNN')\n    # Reshape 'proposals' from (B, A, H', W', 4) to (B, A*H'*W', 4)\n    proposals = torch.flatten(proposals, start_dim=1, end_dim=-2)\n\n    final_conf_probs, final_proposals = [], []\n\n    for idx in range(batch_size):\n      # Get current image's proposals and conf_probs.\n      cr_proposal = proposals[idx]     # Tensor's shape: (A*H'*W', 4)\n      cr_conf_probs = conf_probs[idx]  # Tensor's shape: (A*H'*W',)\n\n      # Define a boolean mask which indicates indexes to delete.\n      del_idx_mask = ~ (cr_conf_probs < thresh)\n\n      # Apply the mask on current proposals, conf_probs and class_indices.\n      cr_conf_probs = cr_conf_probs[del_idx_mask]\n      # Get the number of 'cr_conf_probs' that have been [K]ept.\n      K = cr_conf_probs.shape[0]\n\n      # Reshape 'del_idx_mask' from (A*H'*W',) to (A*H'*W', 1)\n      del_idx_mask = del_idx_mask.unsqueeze(1)\n      # Reshape via broadcasting 'del_idx_mask' from (A*H'*W', 1) to (A*H'*W', 4)\n      del_idx_mask = torch.broadcast_to(del_idx_mask, (A*Hp*Wp, 4))\n\n      # 'cr_proposal' will have a shape of (K, 4)\n      cr_proposal = cr_proposal[del_idx_mask].reshape(K, 4)\n\n      # Get indices of kept proposals (using NMS).\n      icr_proposal = torchvision.ops.nms(cr_proposal, cr_conf_probs, nms_thresh)\n\n      final_conf_probs.append(cr_conf_probs[icr_proposal].unsqueeze(1))\n      final_proposals.append(cr_proposal[icr_proposal])\n\n    ##############################################################################\n    #                               END OF YOUR CODE                             #\n    ##############################################################################\n    if mode == 'RPN':\n      features = [torch.zeros_like(i) for i in final_conf_probs] # dummy class\n    return final_proposals, final_conf_probs, features\n\n\nclass TwoStageDetector(nn.Module):\n  def __init__(self, in_dim=1280, hidden_dim=256, num_classes=20, \\\n               roi_output_w=2, roi_output_h=2, drop_ratio=0.3):\n    super().__init__()\n\n    assert(num_classes != 0)\n    self.num_classes = num_classes\n    self.roi_output_w, self.roi_output_h = roi_output_w, roi_output_h\n    ##############################################################################\n    # TODO: Declare your RPN and the region classification layer (in Fast R-CNN).#\n    # The region classification layer is a sequential module with a Linear layer,#\n    # followed by a Dropout (p=drop_ratio), a ReLU nonlinearity and another      #\n    # Linear layer that predicts classification scores for each proposal.        #\n    # HINT: The dimension of the two Linear layers are in_dim -> hidden_dim and  #\n    # hidden_dim -> num_classes.                                                 #\n    ##############################################################################\n    # Your RPN and classification layers should be named as follows\n    self.rpn = None\n    self.cls_layer = None\n\n    # Replace \"pass\" statement with your code\n\n    self.rpn = RPN()\n\n    self.cls_layer = nn.Sequential(\n      nn.Linear(in_dim, hidden_dim),\n      nn.Dropout(p=drop_ratio),\n      nn.ReLU(),\n      nn.Linear(hidden_dim, num_classes)\n    )\n\n    ##############################################################################\n    #                               END OF YOUR CODE                             #\n    ##############################################################################\n\n  def forward(self, images, bboxes):\n    \"\"\"\n    Training-time forward pass for our two-stage Faster R-CNN detector.\n\n    Inputs:\n    - images: Tensor of shape (B, 3, H, W) giving input images\n    - bboxes: Tensor of shape (B, N, 5) giving ground-truth bounding boxes\n      and category labels, from the dataloader.\n\n    Outputs:\n    - total_loss: Torch scalar giving the overall training loss.\n    \"\"\"\n    total_loss = None\n    ##############################################################################\n    # TODO: Implement the forward pass of TwoStageDetector.                      #\n    # A few key steps are outlined as follows:                                   #\n    # i) RPN, including image feature extraction, grid/anchor/proposal           #\n    #       generation, activated and negative anchors determination.            #\n    # ii) Perform RoI Align on proposals and meanpool the feature in the spatial #\n    #     dimension.                                                             #\n    # iii) Pass the RoI feature through the region classification layer which    #\n    #      gives the class probilities.                                          #\n    # iv) Compute class_prob through the prediction network and compute the      #\n    #     cross entropy loss (cls_loss) between the prediction class_prob and    #\n    #      the reference GT_class. Hint: Use F.cross_entropy loss.               #\n    # v) Compute the total_loss which is formulated as:                          #\n    #    total_loss = rpn_loss + cls_loss.                                       #\n    ##############################################################################\n    # Replace \"pass\" statement with your code\n\n    # i) Pass images through the RPN.\n    rpn_loss, _, proposals, features, GT_class, pos_anchor_idx, _, anc_per_img = \\\n                                      self.rpn(images, bboxes, output_mode='all')\n\n    # ii) Perform RoI Align on proposals.\n    # RoI Align requires a 2-D tensor (i.e. a matrix), in which columns have 5 elements:\n    #   - Image index: indicate to which image (from the batch) the proposal belongs.\n    #   - 4 coordinates (xy of top-left and right-bottom).\n    # For that, we'll perform a some sort of \"bining\" of 'pos_anchor_idx' into 'batch_size' bins.\n    # 'im_idx' is a 2-D tensor of shape (<len(pos_anchor_idx)>, 1)\n    im_idx = (pos_anchor_idx // anc_per_img).unsqueeze(1)\n    # Concatenate 'im_idx' to 'proposals' (on the \"column\" axis, in first place).\n    # 'proposals_ibatch' is a 2-D tensor of shape (proposals.shape[0], 5)\n    proposals_ibatch = torch.cat((im_idx, proposals), dim=1)\n    # Perform RoI Align.\n    roi_features = torchvision.ops.roi_align(features, proposals_ibatch,\n                              output_size=(self.roi_output_w, self.roi_output_h))\n\n    # Meanpool the feature in the spatial dimesion (i.e. the two last dimensions).\n    # Now, 'roi_features' is a 2-D tensor (instead of 4-D before the meanpool).\n    roi_features = torch.mean(roi_features, (2, 3))\n\n    # iii) Pass the RoI feature through the region classification layer.\n    class_prob = self.cls_layer(roi_features)\n\n    # iv) compute the cross entropy loss between the prediction class_prob and GT_class.\n    cls_loss = nn.functional.cross_entropy(class_prob, GT_class)\n\n    # v) Compute the total_loss\n    total_loss = rpn_loss + cls_loss\n\n    ##############################################################################\n    #                               END OF YOUR CODE                             #\n    ##############################################################################\n    return total_loss\n\n  def inference(self, images, thresh=0.5, nms_thresh=0.7):\n    \"\"\"\"\n    Inference-time forward pass for our two-stage Faster R-CNN detector\n\n    Inputs:\n    - images: Tensor of shape (B, 3, H, W) giving input images\n    - thresh: Threshold value on NMS object probabilities\n    - nms_thresh: IoU threshold for NMS in the RPN\n\n    We can output a variable number of predicted boxes per input image.\n    In particular we assume that the input images[i] gives rise to P_i final\n    predicted boxes.\n\n    Outputs:\n    - final_proposals: List of length (B,) where final_proposals[i] is a Tensor\n      of shape (P_i, 4) giving the coordinates of the final predicted boxes for\n      the input images[i]\n    - final_conf_probs: List of length (B,) where final_conf_probs[i] is a\n      Tensor of shape (P_i,) giving the predicted probabilites that the boxes\n      in final_proposals[i] are objects (vs background)\n    - final_class: List of length (B,), where final_class[i] is an int64 Tensor\n      of shape (P_i,) giving the predicted category labels for each box in\n      final_proposals[i].\n    \"\"\"\n    final_proposals, final_conf_probs, final_class = None, None, None\n    ##############################################################################\n    # TODO: Predicting the final proposal coordinates `final_proposals`,         #\n    # confidence scores `final_conf_probs`, and the class index `final_class`.   #\n    # The overall steps are similar to the forward pass but now you do not need  #\n    # to decide the activated nor negative anchors.                              #\n    # HINT: Use the RPN inference function to perform thresholding and NMS, and  #\n    # to compute final_proposals and final_conf_probs. Use the predicted class   #\n    # probabilities from the second-stage network to compute final_class.        #\n    ##############################################################################\n    # Replace \"pass\" statement with your code\n\n    # Pass images through the RPN.\n    final_proposals, final_conf_probs, features = self.rpn.inference(images,\n                          thresh=thresh, nms_thresh=nms_thresh, mode='FasterRCNN')\n\n    final_class = []\n\n    for idx, cr_proposal in enumerate(final_proposals):\n      # Get current image features, and add a unit dimension to match the RoI Align\n      # input dimensions.\n      cr_features = features[idx].unsqueeze(dim=0)\n\n      # Perform RoI Align on the current image proposals.\n      roi_features = torchvision.ops.roi_align(cr_features, [cr_proposal],\n                                output_size=(self.roi_output_w, self.roi_output_h))\n      # Meanpool the feature in the spatial dimesion (i.e. the two last dimensions).\n      # Now, 'roi_features' is a 2-D tensor (instead of 4-D before the meanpool).\n      roi_features = torch.mean(roi_features, (2, 3))\n\n      with torch.no_grad():  # \"no_grad\" context used to speed up the computation.\n        # Pass the RoI feature through the region classification layer.\n        class_prob = self.cls_layer(roi_features)\n\n      if class_prob.shape[0] == 0:  # Current image doesn't contain any box.\n        # Initialize an empty tensor (with \"int\" type, on the GPU).\n        cr_final_class = torch.tensor([], dtype=torch.int32, device='cuda')\n      else:  # Current image contains at least one box.\n        # Get the maximum score indices (i.e. most probable class) for each box.\n        # 'cr_final_class' has shape of (<num_boxes>, 1) where each value is in\n        # range [0,<num_classes>] (in our case: num_classes=20).\n        cr_final_class = torch.argmax(class_prob, dim=1, keepdim=True)\n\n      final_class.append(cr_final_class)\n\n    ##############################################################################\n    #                               END OF YOUR CODE                             #\n    ##############################################################################\n    return final_proposals, final_conf_probs, final_class\n"
  },
  {
    "path": "eecs498-007/A6/README.md",
    "content": "<div>\r\n  <h2 align=\"center\"><a href=\"https://web.eecs.umich.edu/~justincj/teaching/eecs498/\">EECS 498-007 / 598-005: Deep Learning for Computer Vision</a></h2>\r\n  <h2 align=\"center\"><a href=\"https://web.eecs.umich.edu/~justincj/teaching/eecs498/FA2020/assignment6.html\">Assignment 6 (2020)</a></h3>\r\n</div>\r\n\r\n# Goals\r\n\r\nIn this assignment you will implement two different kinds of generative models: **Variational Autoencoders (VAEs)** and **Generative Adversarial Networks (GANs)**.\r\n\r\n# Questions\r\n\r\n## Q1: Variational Autoencoder\r\n\r\nThe notebook [``variational_autoencoders.ipynb``](variational_autoencoders.ipynb) will walk you through the implementation of a VAE on the MNIST dataset. This will allow you to generate new data, and to interpolate in the latent space.\r\n\r\n## Q2: Generative Adversarial Networks\r\n\r\nThe notebook [``generative_adversarial_networks.ipynb``](generative_adversarial_networks.ipynb) will walk you through the implementation of fully-connected and convolutional generative adversarial networks on the MNIST dataset.\r\n"
  },
  {
    "path": "eecs498-007/A6/a6_helper.py",
    "content": "import torch\nimport time\nimport math\nimport os\nimport shutil\nimport torch.optim as optim\nfrom torchvision import models, datasets, transforms\nfrom torch.utils.data import DataLoader\nimport matplotlib.pyplot as plt\nimport matplotlib.gridspec as gridspec\nfrom vae import loss_function\nfrom torch import nn\n\n\ndef hello_helper():\n    print(\"Hello from a6_helper.py!\")\n\ndef show_images(images):\n    images = torch.reshape(images, [images.shape[0], -1])  # images reshape to (batch_size, D)\n    sqrtn = int(math.ceil(math.sqrt(images.shape[0])))\n    sqrtimg = int(math.ceil(math.sqrt(images.shape[1])))\n\n    fig = plt.figure(figsize=(sqrtn, sqrtn))\n    gs = gridspec.GridSpec(sqrtn, sqrtn)\n    gs.update(wspace=0.05, hspace=0.05)\n\n    for i, img in enumerate(images):\n        ax = plt.subplot(gs[i])\n        plt.axis('off')\n        ax.set_xticklabels([])\n        ax.set_yticklabels([])\n        ax.set_aspect('equal')\n        plt.imshow(img.reshape([sqrtimg,sqrtimg]))\n    return \n\ndef count_params(model):\n    \"\"\"Count the number of parameters in the model\"\"\"\n    param_count = sum([p.numel() for p in model.parameters()])\n    return param_count\n\ndef initialize_weights(m):\n  \"\"\" Initializes the weights of a torch.nn model using xavier initialization\"\"\"\n  if isinstance(m, nn.Linear) or isinstance(m, nn.ConvTranspose2d):\n    nn.init.xavier_uniform_(m.weight.data)\n\n\ndef one_hot(labels, class_size):\n    \"\"\"\n    Create one hot label matrix of size (N, C)\n\n    Inputs:\n    - labels: Labels Tensor of shape (N,) representing a ground-truth label\n    for each MNIST image\n    - class_size: Scalar representing of target classes our dataset \n    Outputs:\n    - targets: One-hot label matrix of (N, C), where targets[i, j] = 1 when \n    the ground truth label for image i is j, and targets[i, :j] & \n    targets[i, j + 1:] are equal to 0\n    \"\"\"\n    targets = torch.zeros(labels.size(0), class_size)\n    for i, label in enumerate(labels):\n        targets[i, label] = 1\n    return targets\n\ndef train_vae(epoch, model, train_loader, cond=False):\n    \"\"\"\n    Train a VAE or CVAE!\n\n    Inputs:\n    - epoch: Current epoch number \n    - model: VAE model object\n    - train_loader: PyTorch Dataloader object that contains our training data\n    - cond: Boolean value representing whether we're training a VAE or \n    Conditional VAE \n    \"\"\"\n    model.train()\n    train_loss = 0\n    num_classes = 10\n    loss = None\n    optimizer = optim.Adam(model.parameters(), lr=1e-3)\n    for batch_idx, (data, labels) in enumerate(train_loader):\n        data = data.to(device='cuda:0')\n        if cond:\n          one_hot_vec = one_hot(labels, num_classes).to(device='cuda')\n          recon_batch, mu, logvar = model(data, one_hot_vec)\n        else:\n          recon_batch, mu, logvar = model(data)\n        optimizer.zero_grad()\n        loss = loss_function(recon_batch, data, mu, logvar)\n        loss.backward()\n        train_loss += loss.data\n        optimizer.step()\n    print('Train Epoch: {} \\tLoss: {:.6f}'.format(\n        epoch, loss.data))\n\n\n\n"
  },
  {
    "path": "eecs498-007/A6/eecs598/__init__.py",
    "content": "from . import data, grad, submit\nfrom .solver import Solver\nfrom .utils import reset_seed\nfrom .vis import tensor_to_image, visualize_dataset\n"
  },
  {
    "path": "eecs498-007/A6/eecs598/data.py",
    "content": "import os\nimport random\n\nimport matplotlib.pyplot as plt\nimport torch\nimport torchvision\nfrom torchvision.datasets import CIFAR10\n\nimport eecs598\n\n\ndef _extract_tensors(dset, num=None, x_dtype=torch.float32):\n    \"\"\"\n    Extract the data and labels from a CIFAR10 dataset object and convert them to\n    tensors.\n\n    Input:\n    - dset: A torchvision.datasets.CIFAR10 object\n    - num: Optional. If provided, the number of samples to keep.\n    - x_dtype: Optional. data type of the input image\n\n    Returns:\n    - x: `x_dtype` tensor of shape (N, 3, 32, 32)\n    - y: int64 tensor of shape (N,)\n    \"\"\"\n    x = torch.tensor(dset.data, dtype=x_dtype).permute(0, 3, 1, 2).div_(255)\n    y = torch.tensor(dset.targets, dtype=torch.int64)\n    if num is not None:\n        if num <= 0 or num > x.shape[0]:\n            raise ValueError(\n                \"Invalid value num=%d; must be in the range [0, %d]\" % (num, x.shape[0])\n            )\n        x = x[:num].clone()\n        y = y[:num].clone()\n    return x, y\n\n\ndef cifar10(num_train=None, num_test=None, x_dtype=torch.float32):\n    \"\"\"\n    Return the CIFAR10 dataset, automatically downloading it if necessary.\n    This function can also subsample the dataset.\n\n    Inputs:\n    - num_train: [Optional] How many samples to keep from the training set.\n      If not provided, then keep the entire training set.\n    - num_test: [Optional] How many samples to keep from the test set.\n      If not provided, then keep the entire test set.\n    - x_dtype: [Optional] Data type of the input image\n\n    Returns:\n    - x_train: `x_dtype` tensor of shape (num_train, 3, 32, 32)\n    - y_train: int64 tensor of shape (num_train, 3, 32, 32)\n    - x_test: `x_dtype` tensor of shape (num_test, 3, 32, 32)\n    - y_test: int64 tensor of shape (num_test, 3, 32, 32)\n    \"\"\"\n    download = not os.path.isdir(\"cifar-10-batches-py\")\n    dset_train = CIFAR10(root=\".\", download=download, train=True)\n    dset_test = CIFAR10(root=\".\", train=False)\n    x_train, y_train = _extract_tensors(dset_train, num_train, x_dtype)\n    x_test, y_test = _extract_tensors(dset_test, num_test, x_dtype)\n\n    return x_train, y_train, x_test, y_test\n\n\ndef preprocess_cifar10(\n    cuda=True,\n    show_examples=True,\n    bias_trick=False,\n    flatten=True,\n    validation_ratio=0.2,\n    dtype=torch.float32,\n):\n    \"\"\"\n    Returns a preprocessed version of the CIFAR10 dataset, automatically\n    downloading if necessary. We perform the following steps:\n\n    (0) [Optional] Visualize some images from the dataset\n    (1) Normalize the data by subtracting the mean\n    (2) Reshape each image of shape (3, 32, 32) into a vector of shape (3072,)\n    (3) [Optional] Bias trick: add an extra dimension of ones to the data\n    (4) Carve out a validation set from the training set\n\n    Inputs:\n    - cuda: If true, move the entire dataset to the GPU\n    - validation_ratio: Float in the range (0, 1) giving the fraction of the train\n      set to reserve for validation\n    - bias_trick: Boolean telling whether or not to apply the bias trick\n    - show_examples: Boolean telling whether or not to visualize data samples\n    - dtype: Optional, data type of the input image X\n\n    Returns a dictionary with the following keys:\n    - 'X_train': `dtype` tensor of shape (N_train, D) giving training images\n    - 'X_val': `dtype` tensor of shape (N_val, D) giving val images\n    - 'X_test': `dtype` tensor of shape (N_test, D) giving test images\n    - 'y_train': int64 tensor of shape (N_train,) giving training labels\n    - 'y_val': int64 tensor of shape (N_val,) giving val labels\n    - 'y_test': int64 tensor of shape (N_test,) giving test labels\n\n    N_train, N_val, and N_test are the number of examples in the train, val, and\n    test sets respectively. The precise values of N_train and N_val are determined\n    by the input parameter validation_ratio. D is the dimension of the image data;\n    if bias_trick is False, then D = 32 * 32 * 3 = 3072;\n    if bias_trick is True then D = 1 + 32 * 32 * 3 = 3073.\n    \"\"\"\n    X_train, y_train, X_test, y_test = cifar10(x_dtype=dtype)\n\n    # Move data to the GPU\n    if cuda:\n        X_train = X_train.cuda()\n        y_train = y_train.cuda()\n        X_test = X_test.cuda()\n        y_test = y_test.cuda()\n\n    # 0. Visualize some examples from the dataset.\n    if show_examples:\n        classes = [\n            \"plane\",\n            \"car\",\n            \"bird\",\n            \"cat\",\n            \"deer\",\n            \"dog\",\n            \"frog\",\n            \"horse\",\n            \"ship\",\n            \"truck\",\n        ]\n        samples_per_class = 12\n        samples = []\n        eecs598.reset_seed(0)\n        for y, cls in enumerate(classes):\n            plt.text(-4, 34 * y + 18, cls, ha=\"right\")\n            (idxs,) = (y_train == y).nonzero(as_tuple=True)\n            for i in range(samples_per_class):\n                idx = idxs[random.randrange(idxs.shape[0])].item()\n                samples.append(X_train[idx])\n        img = torchvision.utils.make_grid(samples, nrow=samples_per_class)\n        plt.imshow(eecs598.tensor_to_image(img))\n        plt.axis(\"off\")\n        plt.show()\n\n    # 1. Normalize the data: subtract the mean RGB (zero mean)\n    mean_image = X_train.mean(dim=(0, 2, 3), keepdim=True)\n    X_train -= mean_image\n    X_test -= mean_image\n\n    # 2. Reshape the image data into rows\n    if flatten:\n      X_train = X_train.reshape(X_train.shape[0], -1)\n      X_test = X_test.reshape(X_test.shape[0], -1)\n\n    # 3. Add bias dimension and transform into columns\n    if bias_trick:\n        ones_train = torch.ones(X_train.shape[0], 1, device=X_train.device)\n        X_train = torch.cat([X_train, ones_train], dim=1)\n        ones_test = torch.ones(X_test.shape[0], 1, device=X_test.device)\n        X_test = torch.cat([X_test, ones_test], dim=1)\n\n    # 4. take the validation set from the training set\n    # Note: It should not be taken from the test set\n    # For random permumation, you can use torch.randperm or torch.randint\n    # But, for this homework, we use slicing instead.\n    num_training = int(X_train.shape[0] * (1.0 - validation_ratio))\n    num_validation = X_train.shape[0] - num_training\n\n    # return the dataset\n    data_dict = {}\n    data_dict[\"X_val\"] = X_train[num_training : num_training + num_validation]\n    data_dict[\"y_val\"] = y_train[num_training : num_training + num_validation]\n    data_dict[\"X_train\"] = X_train[0:num_training]\n    data_dict[\"y_train\"] = y_train[0:num_training]\n\n    data_dict[\"X_test\"] = X_test\n    data_dict[\"y_test\"] = y_test\n    return data_dict\n"
  },
  {
    "path": "eecs498-007/A6/eecs598/grad.py",
    "content": "import random\n\nimport torch\n\nimport eecs598\n\n\"\"\" Utilities for computing and checking gradients. \"\"\"\n\n\ndef grad_check_sparse(f, x, analytic_grad, num_checks=10, h=1e-7):\n    \"\"\"\n    Utility function to perform numeric gradient checking. We use the centered\n    difference formula to compute a numeric derivative:\n\n    f'(x) =~ (f(x + h) - f(x - h)) / (2h)\n\n    Rather than computing a full numeric gradient, we sparsely sample a few\n    dimensions along which to compute numeric derivatives.\n\n    Inputs:\n    - f: A function that inputs a torch tensor and returns a torch scalar\n    - x: A torch tensor of the point at which to evaluate the numeric gradient\n    - analytic_grad: A torch tensor giving the analytic gradient of f at x\n    - num_checks: The number of dimensions along which to check\n    - h: Step size for computing numeric derivatives\n    \"\"\"\n    # fix random seed to 0\n    eecs598.reset_seed(0)\n    for i in range(num_checks):\n\n        ix = tuple([random.randrange(m) for m in x.shape])\n\n        oldval = x[ix].item()\n        x[ix] = oldval + h  # increment by h\n        fxph = f(x).item()  # evaluate f(x + h)\n        x[ix] = oldval - h  # increment by h\n        fxmh = f(x).item()  # evaluate f(x - h)\n        x[ix] = oldval  # reset\n\n        grad_numerical = (fxph - fxmh) / (2 * h)\n        grad_analytic = analytic_grad[ix]\n        rel_error_top = abs(grad_numerical - grad_analytic)\n        rel_error_bot = abs(grad_numerical) + abs(grad_analytic) + 1e-12\n        rel_error = rel_error_top / rel_error_bot\n        msg = \"numerical: %f analytic: %f, relative error: %e\"\n        print(msg % (grad_numerical, grad_analytic, rel_error))\n\n\ndef compute_numeric_gradient(f, x, dLdf=None, h=1e-7):\n    \"\"\"\n    Compute the numeric gradient of f at x using a finite differences\n    approximation. We use the centered difference:\n\n    df    f(x + h) - f(x - h)\n    -- ~= -------------------\n    dx           2 * h\n\n    Function can also expand this easily to intermediate layers using the\n    chain rule:\n\n    dL   df   dL\n    -- = -- * --\n    dx   dx   df\n\n    Inputs:\n    - f: A function that inputs a torch tensor and returns a torch scalar\n    - x: A torch tensor giving the point at which to compute the gradient\n    - dLdf: optional upstream gradient for intermediate layers\n    - h: epsilon used in the finite difference calculation\n    Returns:\n    - grad: A tensor of the same shape as x giving the gradient of f at x\n    \"\"\"\n    flat_x = x.contiguous().flatten()\n    grad = torch.zeros_like(x)\n    flat_grad = grad.flatten()\n\n    # Initialize upstream gradient to be ones if not provide\n    if dLdf is None:\n        y = f(x)\n        dLdf = torch.ones_like(y)\n    dLdf = dLdf.flatten()\n\n    # iterate over all indexes in x\n    for i in range(flat_x.shape[0]):\n        oldval = flat_x[i].item()  # Store the original value\n        flat_x[i] = oldval + h  # Increment by h\n        fxph = f(x).flatten()  # Evaluate f(x + h)\n        flat_x[i] = oldval - h  # Decrement by h\n        fxmh = f(x).flatten()  # Evaluate f(x - h)\n        flat_x[i] = oldval  # Restore original value\n\n        # compute the partial derivative with centered formula\n        dfdxi = (fxph - fxmh) / (2 * h)\n\n        # use chain rule to compute dLdx\n        flat_grad[i] = dLdf.dot(dfdxi).item()\n\n    # Note that since flat_grad was only a reference to grad,\n    # we can just return the object in the shape of x by returning grad\n    return grad\n\n\ndef rel_error(x, y, eps=1e-10):\n    \"\"\"\n    Compute the relative error between a pair of tensors x and y,\n    which is defined as:\n\n                            max_i |x_i - y_i]|\n    rel_error(x, y) = -------------------------------\n                      max_i |x_i| + max_i |y_i| + eps\n\n    Inputs:\n    - x, y: Tensors of the same shape\n    - eps: Small positive constant for numeric stability\n\n    Returns:\n    - rel_error: Scalar giving the relative error between x and y\n    \"\"\"\n    \"\"\" returns relative error between x and y \"\"\"\n    top = (x - y).abs().max().item()\n    bot = (x.abs() + y.abs()).clamp(min=eps).max().item()\n    return top / bot\n"
  },
  {
    "path": "eecs498-007/A6/eecs598/solver.py",
    "content": "import pickle\nimport time\n\nimport torch\n\n\nclass Solver(object):\n    \"\"\"\n    A Solver encapsulates all the logic necessary for training classification\n    models. The Solver performs stochastic gradient descent using different\n    update rules.\n    The solver accepts both training and validation data and labels so it can\n    periodically check classification accuracy on both training and validation\n    data to watch out for overfitting.\n    To train a model, you will first construct a Solver instance, passing the\n    model, dataset, and various options (learning rate, batch size, etc) to the\n    constructor. You will then call the train() method to run the optimization\n    procedure and train the model.\n    After the train() method returns, model.params will contain the parameters\n    that performed best on the validation set over the course of training.\n    In addition, the instance variable solver.loss_history will contain a list\n    of all losses encountered during training and the instance variables\n    solver.train_acc_history and solver.val_acc_history will be lists of the\n    accuracies of the model on the training and validation set at each epoch.\n    Example usage might look something like this:\n    data = {\n      'X_train': # training data\n      'y_train': # training labels\n      'X_val': # validation data\n      'y_val': # validation labels\n    }\n    model = MyAwesomeModel(hidden_size=100, reg=10)\n    solver = Solver(model, data,\n            update_rule=sgd,\n            optim_config={\n              'learning_rate': 1e-3,\n            },\n            lr_decay=0.95,\n            num_epochs=10, batch_size=100,\n            print_every=100,\n            device='cuda')\n    solver.train()\n    A Solver works on a model object that must conform to the following API:\n    - model.params must be a dictionary mapping string parameter names to numpy\n      arrays containing parameter values.\n    - model.loss(X, y) must be a function that computes training-time loss and\n      gradients, and test-time classification scores, with the following inputs\n      and outputs:\n      Inputs:\n      - X: Array giving a minibatch of input data of shape (N, d_1, ..., d_k)\n      - y: Array of labels, of shape (N,) giving labels for X where y[i] is the\n      label for X[i].\n      Returns:\n      If y is None, run a test-time forward pass and return:\n      - scores: Array of shape (N, C) giving classification scores for X where\n      scores[i, c] gives the score of class c for X[i].\n      If y is not None, run a training time forward and backward pass and\n      return a tuple of:\n      - loss: Scalar giving the loss\n      - grads: Dictionary with the same keys as self.params mapping parameter\n      names to gradients of the loss with respect to those parameters.\n      - device: device to use for computation. 'cpu' or 'cuda'\n    \"\"\"\n\n    def __init__(self, model, data, **kwargs):\n        \"\"\"\n        Construct a new Solver instance.\n        Required arguments:\n        - model: A model object conforming to the API described above\n        - data: A dictionary of training and validation data containing:\n          'X_train': Array, shape (N_train, d_1, ..., d_k) of training images\n          'X_val': Array, shape (N_val, d_1, ..., d_k) of validation images\n          'y_train': Array, shape (N_train,) of labels for training images\n          'y_val': Array, shape (N_val,) of labels for validation images\n        Optional arguments:\n        - update_rule: A function of an update rule. Default is sgd.\n        - optim_config: A dictionary containing hyperparameters that will be\n          passed to the chosen update rule. Each update rule requires different\n          hyperparameters but all update rules require a\n          'learning_rate' parameter so that should always be present.\n        - lr_decay: A scalar for learning rate decay; after each epoch the\n          learning rate is multiplied by this value.\n        - batch_size: Size of minibatches used to compute loss and gradient\n          during training.\n        - num_epochs: The number of epochs to run for during training.\n        - print_every: Integer; training losses will be printed every\n          print_every iterations.\n        - print_acc_every: We will print the accuracy every print_acc_every epochs.\n        - verbose: Boolean; if set to false then no output will be printed\n          during training.\n        - num_train_samples: Number of training samples used to check training\n          accuracy; default is 1000; set to None to use entire training set.\n        - num_val_samples: Number of validation samples to use to check val\n          accuracy; default is None, which uses the entire validation set.\n        - checkpoint_name: If not None, then save model checkpoints here every\n          epoch.\n        \"\"\"\n        self.model = model\n        self.X_train = data[\"X_train\"]\n        self.y_train = data[\"y_train\"]\n        self.X_val = data[\"X_val\"]\n        self.y_val = data[\"y_val\"]\n\n        # Unpack keyword arguments\n        self.update_rule = kwargs.pop(\"update_rule\", self.sgd)\n        self.optim_config = kwargs.pop(\"optim_config\", {})\n        self.lr_decay = kwargs.pop(\"lr_decay\", 1.0)\n        self.batch_size = kwargs.pop(\"batch_size\", 100)\n        self.num_epochs = kwargs.pop(\"num_epochs\", 10)\n        self.num_train_samples = kwargs.pop(\"num_train_samples\", 1000)\n        self.num_val_samples = kwargs.pop(\"num_val_samples\", None)\n\n        self.device = kwargs.pop(\"device\", \"cpu\")\n\n        self.checkpoint_name = kwargs.pop(\"checkpoint_name\", None)\n        self.print_every = kwargs.pop(\"print_every\", 10)\n        self.print_acc_every = kwargs.pop(\"print_acc_every\", 1)\n        self.verbose = kwargs.pop(\"verbose\", True)\n\n        # Throw an error if there are extra keyword arguments\n        if len(kwargs) > 0:\n            extra = \", \".join('\"%s\"' % k for k in list(kwargs.keys()))\n            raise ValueError(\"Unrecognized arguments %s\" % extra)\n\n        self._reset()\n\n    def _reset(self):\n        \"\"\"\n        Set up some book-keeping variables for optimization. Don't call this\n        manually.\n        \"\"\"\n        # Set up some variables for book-keeping\n        self.epoch = 0\n        self.best_val_acc = 0\n        self.best_params = {}\n        self.loss_history = []\n        self.train_acc_history = []\n        self.val_acc_history = []\n\n        # Make a deep copy of the optim_config for each parameter\n        self.optim_configs = {}\n        for p in self.model.params:\n            d = {k: v for k, v in self.optim_config.items()}\n            self.optim_configs[p] = d\n\n    def _step(self):\n        \"\"\"\n        Make a single gradient update. This is called by train() and should not\n        be called manually.\n        \"\"\"\n        # Make a minibatch of training data\n        num_train = self.X_train.shape[0]\n        batch_mask = torch.randperm(num_train)[: self.batch_size]\n        X_batch = self.X_train[batch_mask].to(self.device)\n        y_batch = self.y_train[batch_mask].to(self.device)\n\n        # Compute loss and gradient\n        loss, grads = self.model.loss(X_batch, y_batch)\n        self.loss_history.append(loss.item())\n\n        # Perform a parameter update\n        with torch.no_grad():\n            for p, w in self.model.params.items():\n                dw = grads[p]\n                config = self.optim_configs[p]\n                next_w, next_config = self.update_rule(w, dw, config)\n                self.model.params[p] = next_w\n                self.optim_configs[p] = next_config\n\n    def _save_checkpoint(self):\n        if self.checkpoint_name is None:\n            return\n        checkpoint = {\n            \"model\": self.model,\n            \"update_rule\": self.update_rule,\n            \"lr_decay\": self.lr_decay,\n            \"optim_config\": self.optim_config,\n            \"batch_size\": self.batch_size,\n            \"num_train_samples\": self.num_train_samples,\n            \"num_val_samples\": self.num_val_samples,\n            \"epoch\": self.epoch,\n            \"loss_history\": self.loss_history,\n            \"train_acc_history\": self.train_acc_history,\n            \"val_acc_history\": self.val_acc_history,\n        }\n        filename = \"%s_epoch_%d.pkl\" % (self.checkpoint_name, self.epoch)\n        if self.verbose:\n            print('Saving checkpoint to \"%s\"' % filename)\n        with open(filename, \"wb\") as f:\n            pickle.dump(checkpoint, f)\n\n    @staticmethod\n    def sgd(w, dw, config=None):\n        \"\"\"\n        Performs vanilla stochastic gradient descent.\n        config format:\n        - learning_rate: Scalar learning rate.\n        \"\"\"\n        if config is None:\n            config = {}\n        config.setdefault(\"learning_rate\", 1e-2)\n\n        w -= config[\"learning_rate\"] * dw\n        return w, config\n\n    def check_accuracy(self, X, y, num_samples=None, batch_size=100):\n        \"\"\"\n        Check accuracy of the model on the provided data.\n        Inputs:\n        - X: Array of data, of shape (N, d_1, ..., d_k)\n        - y: Array of labels, of shape (N,)\n        - num_samples: If not None, subsample the data and only test the model\n          on num_samples datapoints.\n        - batch_size: Split X and y into batches of this size to avoid using\n          too much memory.\n        Returns:\n        - acc: Scalar giving the fraction of instances that were correctly\n          classified by the model.\n        \"\"\"\n\n        # Maybe subsample the data\n        N = X.shape[0]\n        if num_samples is not None and N > num_samples:\n            mask = torch.randperm(N, device=self.device)[:num_samples]\n            N = num_samples\n            X = X[mask]\n            y = y[mask]\n        X = X.to(self.device)\n        y = y.to(self.device)\n\n        # Compute predictions in batches\n        num_batches = N // batch_size\n        if N % batch_size != 0:\n            num_batches += 1\n        y_pred = []\n        for i in range(num_batches):\n            start = i * batch_size\n            end = (i + 1) * batch_size\n            scores = self.model.loss(X[start:end])\n            y_pred.append(torch.argmax(scores, dim=1))\n\n        y_pred = torch.cat(y_pred)\n        acc = (y_pred == y).to(torch.float).mean()\n\n        return acc.item()\n\n    def train(self, time_limit=None, return_best_params=True):\n        \"\"\"\n        Run optimization to train the model.\n        \"\"\"\n        num_train = self.X_train.shape[0]\n        iterations_per_epoch = max(num_train // self.batch_size, 1)\n        num_iterations = self.num_epochs * iterations_per_epoch\n        prev_time = start_time = time.time()\n\n        for t in range(num_iterations):\n\n            cur_time = time.time()\n            if (time_limit is not None) and (t > 0):\n                next_time = cur_time - prev_time\n                if cur_time - start_time + next_time > time_limit:\n                    print(\n                        \"(Time %.2f sec; Iteration %d / %d) loss: %f\"\n                        % (\n                            cur_time - start_time,\n                            t,\n                            num_iterations,\n                            self.loss_history[-1],\n                        )\n                    )\n                    print(\"End of training; next iteration will exceed the time limit.\")\n                    break\n            prev_time = cur_time\n\n            self._step()\n\n            # Maybe print training loss\n            if self.verbose and t % self.print_every == 0:\n                print(\n                    \"(Time %.2f sec; Iteration %d / %d) loss: %f\"\n                    % (\n                        time.time() - start_time,\n                        t + 1,\n                        num_iterations,\n                        self.loss_history[-1],\n                    )\n                )\n\n            # At the end of every epoch, increment the epoch counter and decay\n            # the learning rate.\n            epoch_end = (t + 1) % iterations_per_epoch == 0\n            if epoch_end:\n                self.epoch += 1\n                for k in self.optim_configs:\n                    self.optim_configs[k][\"learning_rate\"] *= self.lr_decay\n\n            # Check train and val accuracy on the first iteration, the last\n            # iteration, and at the end of each epoch.\n            with torch.no_grad():\n                first_it = t == 0\n                last_it = t == num_iterations - 1\n                if first_it or last_it or epoch_end:\n                    train_acc = self.check_accuracy(\n                        self.X_train, self.y_train, num_samples=self.num_train_samples\n                    )\n                    val_acc = self.check_accuracy(\n                        self.X_val, self.y_val, num_samples=self.num_val_samples\n                    )\n                    self.train_acc_history.append(train_acc)\n                    self.val_acc_history.append(val_acc)\n                    self._save_checkpoint()\n\n                    if self.verbose and self.epoch % self.print_acc_every == 0:\n                        print(\n                            \"(Epoch %d / %d) train acc: %f; val_acc: %f\"\n                            % (self.epoch, self.num_epochs, train_acc, val_acc)\n                        )\n\n                    # Keep track of the best model\n                    if val_acc > self.best_val_acc:\n                        self.best_val_acc = val_acc\n                        self.best_params = {}\n                        for k, v in self.model.params.items():\n                            self.best_params[k] = v.clone()\n\n        # At the end of training swap the best params into the model\n        if return_best_params:\n          self.model.params = self.best_params\n"
  },
  {
    "path": "eecs498-007/A6/eecs598/submit.py",
    "content": "import os\nimport zipfile\n\n_A1_FILES = [\n    \"pytorch101.py\",\n    \"pytorch101.ipynb\",\n    \"knn.py\",\n    \"knn.ipynb\",\n]\n\n_A2_FILES = [\n    \"linear_classifier.py\",\n    \"linear_classifier.ipynb\",\n    \"two_layer_net.py\",\n    \"two_layer_net.ipynb\",\n    \"svm_best_model.pt\",\n    \"softmax_best_model.pt\",\n    \"nn_best_model.pt\",\n]\n\n_A3_FILES = [\n    \"fully_connected_networks.py\",\n    \"fully_connected_networks.ipynb\",\n    \"convolutional_networks.py\",\n    \"convolutional_networks.ipynb\",\n    \"best_overfit_five_layer_net.pth\",\n    \"best_two_layer_net.pth\",\n    \"one_minute_deepconvnet.pth\",\n    \"overfit_deepconvnet.pth\", \n]\n\n_A4_FILES = [\n    'network_visualization.py', \n    'network_visualization.ipynb',\n    'style_transfer.py',  \n    'style_transfer.ipynb',\n    'pytorch_autograd_and_nn.py', \n    'pytorch_autograd_and_nn.ipynb', \n    'rnn_lstm_attention_captioning.py',\n    'rnn_lstm_attention_captioning.ipynb',\n    # result files\n    'pytorch_autograd_and_nn.pkl',\n    'rnn_lstm_attention_submission.pkl',\n    'saliency_maps_results.jpg',\n    'adversarial_attacks_results.jpg',\n    'class_viz_result.jpg',\n    'style_transfer_result.jpg',\n    'feature_inversion_result.jpg'\n]\n\n_A5_FILES = [\n    'single_stage_detector.py', \n    'two_stage_detector.py',\n    'single_stage_detector_yolo.ipynb', \n    'two_stage_detector_faster_rcnn.ipynb',\n    'yolo_detector.pt',\n    'frcnn_detector.pt',\n]\n\n\n_A6_FILES = [\n    'vae.py', \n    'gan.py',\n    'variational_autoencoders.ipynb', \n    'generative_adversarial_networks.ipynb',\n    'vae_generation.jpg',\n    'conditional_vae_generation.jpg',\n    'fc_gan_results.jpg',\n    'ls_gan_results.jpg',\n    'dc_gan_results.jpg'\n]\n\n\ndef make_a1_submission(assignment_path, uniquename=None, umid=None):\n    _make_submission(assignment_path, _A1_FILES, \"A1\", uniquename, umid)\n\n\ndef make_a2_submission(assignment_path, uniquename=None, umid=None):\n    _make_submission(assignment_path, _A2_FILES, \"A2\", uniquename, umid)\n\n\ndef make_a3_submission(assignment_path, uniquename=None, umid=None):\n    _make_submission(assignment_path, _A3_FILES, \"A3\", uniquename, umid)\n\n\ndef make_a4_submission(assignment_path, uniquename=None, umid=None):\n    _make_submission(assignment_path, _A4_FILES, \"A4\", uniquename, umid)\n\n\ndef make_a5_submission(assignment_path, uniquename=None, umid=None):\n    _make_submission(assignment_path, _A5_FILES, \"A5\", uniquename, umid)\n\ndef make_a6_submission(assignment_path, uniquename=None, umid=None):\n    _make_submission(assignment_path, _A6_FILES, \"A6\", uniquename, umid)\n\n\ndef _make_submission(\n    assignment_path, file_list, assignment_no, uniquename=None, umid=None\n):\n    if uniquename is None or umid is None:\n        uniquename, umid = _get_user_info()\n    zip_path = \"{}_{}_{}.zip\".format(uniquename, umid, assignment_no)\n    zip_path = os.path.join(assignment_path, zip_path)\n    print(\"Writing zip file to: \", zip_path)\n    with zipfile.ZipFile(zip_path, \"w\") as zf:\n        for filename in file_list:\n            in_path = os.path.join(assignment_path, filename)\n            if not os.path.isfile(in_path):\n                raise ValueError('Could not find file \"%s\"' % filename)\n            zf.write(in_path, filename)\n\n\ndef _get_user_info():\n    if uniquename is None:\n        uniquename = input(\"Enter your uniquename (e.g. justincj): \")\n    if umid is None:\n        umid = input(\"Enter your umid (e.g. 12345678): \")\n    return uniquename, umid\n"
  },
  {
    "path": "eecs498-007/A6/eecs598/utils.py",
    "content": "import torch\nimport random\nfrom torchvision.utils import make_grid\nimport matplotlib.pyplot as plt\nimport cv2\nimport numpy as np\n\n\"\"\"\nGeneral utilities to help with implementation\n\"\"\"\n\ndef reset_seed(number):\n  \"\"\"\n  Reset random seed to the specific number\n\n  Inputs:\n  - number: A seed number to use\n  \"\"\"\n  random.seed(number)\n  torch.manual_seed(number)\n  return\n\ndef tensor_to_image(tensor):\n  \"\"\"\n  Convert a torch tensor into a numpy ndarray for visualization.\n\n  Inputs:\n  - tensor: A torch tensor of shape (3, H, W) with elements in the range [0, 1]\n\n  Returns:\n  - ndarr: A uint8 numpy array of shape (H, W, 3)\n  \"\"\"\n  tensor = tensor.mul(255).add_(0.5).clamp_(0, 255).permute(1, 2, 0)\n  ndarr = tensor.to('cpu', torch.uint8).numpy()\n  return ndarr\n\n\ndef visualize_dataset(X_data, y_data, samples_per_class, class_list):\n  \"\"\"\n  Make a grid-shape image to plot\n\n  Inputs:\n  - X_data: set of [batch, 3, width, height] data\n  - y_data: paired label of X_data in [batch] shape\n  - samples_per_class: number of samples want to present\n  - class_list: list of class names\n    e.g.) ['plane', 'car', 'bird', 'cat', 'deer', 'dog', 'frog', 'horse', 'ship', 'truck']\n\n  Outputs:\n  - An grid-image that visualize samples_per_class number of samples per class\n  \"\"\"\n  img_half_width = X_data.shape[2] // 2\n  samples = []\n  for y, cls in enumerate(class_list):\n    plt.text(-4, (img_half_width * 2 + 2) * y + (img_half_width + 2), cls, ha='right')\n    idxs = (y_data == y).nonzero().view(-1)\n    for i in range(samples_per_class):\n      idx = idxs[random.randrange(idxs.shape[0])].item()\n      samples.append(X_data[idx])\n\n  img = make_grid(samples, nrow=samples_per_class)\n  return tensor_to_image(img)\n\n\ndef decode_captions(captions, idx_to_word):\n    \"\"\"\n    Decoding caption indexes into words.\n    Inputs:\n    - captions: Caption indexes in a tensor of shape (Nx)T.\n    - idx_to_word: Mapping from the vocab index to word.\n\n    Outputs:\n    - decoded: A sentence (or a list of N sentences).\n    \"\"\"\n    singleton = False\n    if captions.ndim == 1:\n        singleton = True\n        captions = captions[None]\n    decoded = []\n    N, T = captions.shape\n    for i in range(N):\n        words = []\n        for t in range(T):\n            word = idx_to_word[captions[i, t]]\n            if word != '<NULL>':\n                words.append(word)\n            if word == '<END>':\n                break\n        decoded.append(' '.join(words))\n    if singleton:\n        decoded = decoded[0]\n    return decoded\n\n\ndef attention_visualizer(img, attn_weights, token):\n  \"\"\"\n  Visuailze the attended regions on a single frame from a single query word.\n  Inputs:\n  - img: Image tensor input, of shape (3, H, W)\n  - attn_weights: Attention weight tensor, on the final activation map\n  - token: The token string you want to display above the image\n\n  Outputs:\n  - img_output: Image tensor output, of shape (3, H+25, W)\n\n  \"\"\"\n  C, H, W = img.shape\n  assert C == 3, 'We only support image with three color channels!'\n\n  # Reshape attention map\n  attn_weights = cv2.resize(attn_weights.data.numpy().copy(),\n                              (H, W), interpolation=cv2.INTER_NEAREST)\n  attn_weights = np.repeat(np.expand_dims(attn_weights, axis=2), 3, axis=2)\n\n  # Combine image and attention map\n  img_copy = img.float().div(255.).permute(1, 2, 0\n    ).numpy()[:, :, ::-1].copy()  # covert to BGR for cv2\n  masked_img = cv2.addWeighted(attn_weights, 0.5, img_copy, 0.5, 0)\n  img_copy = np.concatenate((np.zeros((25, W, 3)),\n    masked_img), axis=0)\n\n  # Add text\n  cv2.putText(img_copy, '%s' % (token), (10, 15),\n              cv2.FONT_HERSHEY_PLAIN, 1.0, (255, 255, 255), thickness=1)\n\n  return img_copy"
  },
  {
    "path": "eecs498-007/A6/eecs598/vis.py",
    "content": "import random\nimport cv2\n\nimport numpy as np\nimport matplotlib.pyplot as plt\nimport torch\nfrom torchvision.utils import make_grid\n\n\n\"\"\"\nUtilities to help with visualizing images and other data\n\"\"\"\n\n\ndef tensor_to_image(tensor):\n    \"\"\"\n    Convert a torch tensor into a numpy ndarray for visualization.\n\n    Inputs:\n    - tensor: A torch tensor of shape (3, H, W) with elements in the range [0, 1]\n\n    Returns:\n    - ndarr: A uint8 numpy array of shape (H, W, 3)\n    \"\"\"\n    tensor = tensor.mul(255).add_(0.5).clamp_(0, 255).permute(1, 2, 0)\n    ndarr = tensor.to(\"cpu\", torch.uint8).numpy()\n    return ndarr\n\n\ndef visualize_dataset(X_data, y_data, samples_per_class, class_list):\n    \"\"\"\n    Make a grid-shape image to plot\n\n    Inputs:\n    - X_data: set of [batch, 3, width, height] data\n    - y_data: paired label of X_data in [batch] shape\n    - samples_per_class: number of samples want to present\n    - class_list: list of class names; eg,\n      ['plane', 'car', 'bird', 'cat', 'deer', 'dog', 'frog', 'horse', 'ship', 'truck']\n\n    Outputs:\n    - An grid-image that visualize samples_per_class number of samples per class\n    \"\"\"\n    img_half_width = X_data.shape[2] // 2\n    samples = []\n    for y, cls in enumerate(class_list):\n        tx = -4\n        ty = (img_half_width * 2 + 2) * y + (img_half_width + 2)\n        plt.text(tx, ty, cls, ha=\"right\")\n        idxs = (y_data == y).nonzero().view(-1)\n        for i in range(samples_per_class):\n            idx = idxs[random.randrange(idxs.shape[0])].item()\n            samples.append(X_data[idx])\n\n    img = make_grid(samples, nrow=samples_per_class)\n    return tensor_to_image(img)\n\ndef detection_visualizer(img, idx_to_class, bbox=None, pred=None):\n    \"\"\"\n    Data visualizer on the original image. Support both GT box input and proposal input.\n    \n    Input:\n    - img: PIL Image input\n    - idx_to_class: Mapping from the index (0-19) to the class name\n    - bbox: GT bbox (in red, optional), a tensor of shape Nx5, where N is\n            the number of GT boxes, 5 indicates (x_tl, y_tl, x_br, y_br, class)\n    - pred: Predicted bbox (in green, optional), a tensor of shape N'x6, where\n            N' is the number of predicted boxes, 6 indicates\n            (x_tl, y_tl, x_br, y_br, class, object confidence score)\n    \"\"\"\n\n    img_copy = np.array(img).astype('uint8')\n\n    if bbox is not None:\n        for bbox_idx in range(bbox.shape[0]):\n            one_bbox = bbox[bbox_idx][:4]\n            cv2.rectangle(img_copy, (one_bbox[0], one_bbox[1]), (one_bbox[2],\n                        one_bbox[3]), (255, 0, 0), 2)\n            if bbox.shape[1] > 4: # if class info provided\n                obj_cls = idx_to_class[bbox[bbox_idx][4].item()]\n                cv2.putText(img_copy, '%s' % (obj_cls),\n                          (one_bbox[0], one_bbox[1]+15),\n                          cv2.FONT_HERSHEY_PLAIN, 1.0, (0, 0, 255), thickness=1)\n\n    if pred is not None:\n        for bbox_idx in range(pred.shape[0]):\n            one_bbox = pred[bbox_idx][:4]\n            cv2.rectangle(img_copy, (one_bbox[0], one_bbox[1]), (one_bbox[2],\n                        one_bbox[3]), (0, 255, 0), 2)\n            \n            if pred.shape[1] > 4: # if class and conf score info provided\n                obj_cls = idx_to_class[pred[bbox_idx][4].item()]\n                conf_score = pred[bbox_idx][5].item()\n                cv2.putText(img_copy, '%s, %.2f' % (obj_cls, conf_score),\n                            (one_bbox[0], one_bbox[1]+15),\n                            cv2.FONT_HERSHEY_PLAIN, 1.0, (0, 0, 255), thickness=1)\n\n    plt.imshow(img_copy)\n    plt.axis('off')\n    plt.show()"
  },
  {
    "path": "eecs498-007/A6/gan.py",
    "content": "from __future__ import print_function\nimport matplotlib.pyplot as plt\nimport matplotlib.gridspec as gridspec\nimport numpy as np\nimport torch\nimport torch.utils.data\nfrom torch import nn, optim\nfrom torch.autograd import Variable\nfrom torch.nn import functional as F\nfrom torchvision import datasets, transforms\nfrom torchvision.utils import save_image\nNOISE_DIM = 96\n\ndef hello_gan():\n    print(\"Hello from gan.py!\")\n\n# Define the default device (GPU).\ndevice = 'cuda'\n\ndef sample_noise(batch_size, noise_dim, dtype=torch.float, device='cpu'):\n  \"\"\"\n  Generate a PyTorch Tensor of uniform random noise.\n\n  Input:\n  - batch_size: Integer giving the batch size of noise to generate.\n  - noise_dim: Integer giving the dimension of noise to generate.\n  \n  Output:\n  - A PyTorch Tensor of shape (batch_size, noise_dim) containing uniform\n    random noise in the range (-1, 1).\n  \"\"\"\n  noise = None\n  ##############################################################################\n  # TODO: Implement sample_noise.                                              #\n  ##############################################################################\n  # Replace \"pass\" statement with your code\n\n  # The generated noise values (from uniform distribution) must be in\n  # the interval [-1,1].\n  # However, \"torch.rand\" generates random values in [0,1].\n  # For that, we must use a `transformation`, from [0,1] to [-1,1].\n  # -----\n  # The idea is given below (from: https://stackoverflow.com/a/44375813)\n  # If U is a random variable uniformly distributed on [0,1],\n  # then `(r1 - r2) * U + r2` is uniformly distributed on [r1,r2].\n  # -----\n  # In our case, `r1`=-1 and `r2`=1\n  noise = -2 * torch.rand((batch_size, noise_dim), device=device) + 1\n\n  ##############################################################################\n  #                              END OF YOUR CODE                              #\n  ##############################################################################\n\n  return noise\n\n\n\ndef discriminator():\n  \"\"\"\n  Build and return a PyTorch nn.Sequential model implementing the architecture in the notebook.\n  \"\"\"\n  model = None\n  ############################################################################\n  # TODO: Implement discriminator.                                           #\n  ############################################################################\n  # Replace \"pass\" statement with your code\n\n  model = nn.Sequential(\n    nn.Flatten(),\n    nn.Linear(784, 256),  # 1st Fully-Connected layer.\n    nn.LeakyReLU(0.01),\n    nn.Linear(256, 256),  # 2nd Fully-Connected layer.\n    nn.LeakyReLU(0.01),\n    nn.Linear(256, 1)     # 3rd Fully-Connected layer.\n  )\n\n  ############################################################################\n  #                             END OF YOUR CODE                             #\n  ############################################################################\n  \n  return model\n\n\ndef generator(noise_dim=NOISE_DIM):\n  \"\"\"\n  Build and return a PyTorch nn.Sequential model implementing the architecture in the notebook.\n  \"\"\"\n  model = None\n  ############################################################################\n  # TODO: Implement generator.                                               #\n  ############################################################################\n  # Replace \"pass\" statement with your code\n  \n  model = nn.Sequential(\n    nn.Linear(noise_dim, 1024),  # 1st Fully-Connected layer.\n    nn.ReLU(),\n    nn.Linear(1024, 1024),       # 2nd Fully-Connected layer.\n    nn.ReLU(),\n    nn.Linear(1024, 784),        # 3rd Fully-Connected layer.\n    nn.Tanh()\n  )\n\n  ############################################################################\n  #                             END OF YOUR CODE                             #\n  ############################################################################\n\n  return model  \n\ndef discriminator_loss(logits_real, logits_fake):\n  \"\"\"\n  Computes the discriminator loss described above.\n  \n  Inputs:\n  - logits_real: PyTorch Tensor of shape (N,) giving scores for the real data.\n  - logits_fake: PyTorch Tensor of shape (N,) giving scores for the fake data.\n  \n  Returns:\n  - loss: PyTorch Tensor containing (scalar) the loss for the discriminator.\n  \"\"\"\n  loss = None\n  ##############################################################################\n  # TODO: Implement discriminator_loss.                                        #\n  ##############################################################################\n  # Replace \"pass\" statement with your code\n\n  # For the discriminator (D), the true target (y = 1) corresponds to \"real\" images.\n  # Thus, for the scores of real images, the target is always 1 (a vector).\n  real_labels = torch.ones_like(logits_real, device=device)\n  # Compute the BCE for the scores of the real images.\n  # Note that the BCE itself uses the Expectation formula (in addition, an average is\n  # taken throughout the losses, not a sum [as requested in this assignment]).\n  real_loss = F.binary_cross_entropy_with_logits(logits_real, real_labels)\n\n  # For D, the false target (y = 0) corresponds to \"fake\" images.\n  # Thus, for the scores of fake images, the target is always 0 (a vector).\n  fake_labels = torch.zeros_like(logits_fake, device=device)\n  # As for the real scores, compute the BCE loss for the fake images.\n  fake_loss = F.binary_cross_entropy_with_logits(logits_fake, fake_labels)\n\n  # Sum \"real\" and \"fake\" losses.\n  # That is, BCE has already taken into account the \"negated equation\" form,\n  # the \"log\" (in the Expectation) and the \"mean\" (insetead on the \"sum\").\n  loss = real_loss + fake_loss\n\n  ##############################################################################\n  #                              END OF YOUR CODE                              #\n  ##############################################################################\n  return loss\n\ndef generator_loss(logits_fake):\n  \"\"\"\n  Computes the generator loss described above.\n\n  Inputs:\n  - logits_fake: PyTorch Tensor of shape (N,) giving scores for the fake data.\n  \n  Returns:\n  - loss: PyTorch Tensor containing the (scalar) loss for the generator.\n  \"\"\"\n  loss = None\n  ##############################################################################\n  # TODO: Implement generator_loss.                                            #\n  ##############################################################################\n  # Replace \"pass\" statement with your code\n  \n  # For the generator (G), the true target (y = 1) corresponds to \"fake\" images.\n  # Thus, for the scores of fake images, the target is always 1 (a vector).\n  fake_labels = torch.ones_like(logits_fake, device=device)\n  # Compute the BCE for the scores of the fake images.\n  fake_loss = F.binary_cross_entropy_with_logits(logits_fake, fake_labels)\n\n  # The generator loss is \"fake_loss\".\n  # That is, BCE has already taken into account the \"negated equation\" form,\n  # the \"log\" (in the Expectation) and the \"mean\" (insetead on the \"sum\").\n  loss = fake_loss\n\n  ##############################################################################\n  #                              END OF YOUR CODE                              #\n  ##############################################################################\n  return loss\n\ndef get_optimizer(model):\n  \"\"\"\n  Construct and return an Adam optimizer for the model with learning rate 1e-3,\n  beta1=0.5, and beta2=0.999.\n  \n  Input:\n  - model: A PyTorch model that we want to optimize.\n  \n  Returns:\n  - An Adam optimizer for the model with the desired hyperparameters.\n  \"\"\"\n  optimizer = None\n  ##############################################################################\n  # TODO: Implement optimizer.                                                 #\n  ##############################################################################\n  # Replace \"pass\" statement with your code\n\n  optimizer = optim.Adam(model.parameters(), lr=1e-3, betas=(0.5, 0.999))\n\n  ##############################################################################\n  #                              END OF YOUR CODE                              #\n  ##############################################################################\n  return optimizer\n\n\ndef ls_discriminator_loss(scores_real, scores_fake):\n  \"\"\"\n  Compute the Least-Squares GAN loss for the discriminator.\n  \n  Inputs:\n  - scores_real: PyTorch Tensor of shape (N,) giving scores for the real data.\n  - scores_fake: PyTorch Tensor of shape (N,) giving scores for the fake data.\n  \n  Outputs:\n  - loss: A PyTorch Tensor containing the loss.\n  \"\"\"\n  loss = None\n  ##############################################################################\n  # TODO: Implement ls_discriminator_loss.                                     #\n  ##############################################################################\n  # Replace \"pass\" statement with your code\n  \n  real_loss = (scores_real - 1) ** 2\n  real_loss = 0.5 * real_loss.mean()\n\n  fake_loss = scores_fake ** 2\n  fake_loss = 0.5 * fake_loss.mean()\n\n  loss = real_loss + fake_loss\n\n  ##############################################################################\n  #                              END OF YOUR CODE                              #\n  ##############################################################################\n  return loss\n\ndef ls_generator_loss(scores_fake):\n  \"\"\"\n  Computes the Least-Squares GAN loss for the generator.\n  \n  Inputs:\n  - scores_fake: PyTorch Tensor of shape (N,) giving scores for the fake data.\n  \n  Outputs:\n  - loss: A PyTorch Tensor containing the loss.\n  \"\"\"\n  loss = None\n  ##############################################################################\n  # TODO: Implement ls_generator_loss.                                         #\n  ##############################################################################\n  # Replace \"pass\" statement with your code\n  \n  fake_loss = (scores_fake - 1) ** 2\n  fake_loss = 0.5 * fake_loss.mean()\n\n  loss = fake_loss\n\n  ##############################################################################\n  #                              END OF YOUR CODE                              #\n  ##############################################################################\n  return loss\n\n\ndef build_dc_classifier():\n  \"\"\"\n  Build and return a PyTorch nn.Sequential model for the DCGAN discriminator implementing\n  the architecture in the notebook.\n  \"\"\"\n  model = None\n  ############################################################################\n  # TODO: Implement build_dc_classifier.                                     #\n  ############################################################################\n  # Replace \"pass\" statement with your code\n  \n  model = nn.Sequential(\n    # Unflatten the model's input. Output shape is (batch_size, 1, 28, 28)\n    nn.Unflatten(1, (1, 28, 28)),\n    # Apply Conv2D layer and LeakyReLU. Output shape is (batch_size, 32, 26, 26)\n    nn.Conv2d(in_channels=1, out_channels=32, kernel_size=5, stride=1),\n    nn.LeakyReLU(0.01),\n    # Apply Max Pooling. Output shape is (batch_size, 32, 13, 13)\n    nn.MaxPool2d(kernel_size=2, stride=2),\n    # Apply Conv2D layer and LeakyReLU. Output shape is (batch_size, 64, 11, 11)\n    nn.Conv2d(in_channels=32, out_channels=64, kernel_size=5, stride=1),\n    nn.LeakyReLU(0.01),\n    # Apply Max Pooling. Output shape is (batch_size, 64, 4, 4)\n    nn.MaxPool2d(kernel_size=2, stride=2),\n    # Flatten the data. Output shape is (batch_size, 64*4*4)\n    nn.Flatten(),\n    # Apply FC layer and LeakyReLU. Output shape is (batch_size, 64*4*4)\n    nn.Linear(4*4*64, 4*4*64),\n    nn.LeakyReLU(0.01),\n    # Apply FC layer (Output layer). Output shape is (batch_size, 1)\n    nn.Linear(4*4*64, 1)\n  )\n\n  ############################################################################\n  #                             END OF YOUR CODE                             #\n  ############################################################################\n\n  return model\n\ndef build_dc_generator(noise_dim=NOISE_DIM):\n  \"\"\"\n  Build and return a PyTorch nn.Sequential model implementing the DCGAN generator using\n  the architecture described in the notebook.\n  \"\"\"\n  model = None\n  ############################################################################\n  # TODO: Implement build_dc_generator.                                      #\n  ############################################################################\n  # Replace \"pass\" statement with your code\n  \n  model = nn.Sequential(\n    # Apply FC layer, ReLU and Batch norm. Output shape is (1, 1024)\n    nn.Linear(noise_dim, 1024),\n    nn.ReLU(),\n    nn.BatchNorm1d(1024),\n    # Apply FC layer, ReLU and Batch norm. Output shape is (1, 7*7*128)\n    nn.Linear(1024, 7*7*128),\n    nn.ReLU(),\n    nn.BatchNorm1d(7*7*128),\n    # Reshape the data into Image Tensor. Output shape is (128, 7, 7)\n    nn.Unflatten(1, (128, 7, 7)),\n    # Apply Conv2D Transpose layer, ReLU and Batch norm.\n    # Note that in PyTorch, the padding-type in this layer type must be 'zero'\n    # (default value), 'same' padding is not permitted. Output shape is (64, 14, 14)\n    nn.ConvTranspose2d(in_channels=128, out_channels=64, kernel_size=4,\n                        stride=2, padding=1),\n    nn.ReLU(),\n    nn.BatchNorm2d(64),\n    # Apply Conv2D Transpose and TanH. Output shape is (1, 28, 28)\n    nn.ConvTranspose2d(in_channels=64, out_channels=1, kernel_size=4,\n                  stride=2, padding=1),\n    nn.Tanh(),\n    # Flatten the data. Output shape is (784,)\n    nn.Flatten()\n  )\n\n  ############################################################################\n  #                             END OF YOUR CODE                             #\n  ############################################################################\n\n  return model\n"
  },
  {
    "path": "eecs498-007/A6/generative_adversarial_networks.ipynb",
    "content": "{\"nbformat\":4,\"nbformat_minor\":0,\"metadata\":{\"accelerator\":\"GPU\",\"colab\":{\"name\":\"generative_adversarial_networks.ipynb\",\"provenance\":[],\"collapsed_sections\":[]},\"kernelspec\":{\"display_name\":\"Python 3\",\"language\":\"python\",\"name\":\"python3\"},\"language_info\":{\"codemirror_mode\":{\"name\":\"ipython\",\"version\":3},\"file_extension\":\".py\",\"mimetype\":\"text/x-python\",\"name\":\"python\",\"nbconvert_exporter\":\"python\",\"pygments_lexer\":\"ipython3\",\"version\":\"3.6.8\"}},\"cells\":[{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"DDJwQPZcupab\"},\"source\":[\"# EECS 498-007/598-005 Assignment 6: Generative Adversarial Networks \\n\",\"\\n\",\"Before we start, please put your name and UMID in following format\\n\",\"\\n\",\": Firstname LASTNAME, #00000000   //   e.g.) Justin JOHNSON, #12345678\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"2KMxqLt1h2kx\"},\"source\":[\"**Your Answer:**   \\n\",\"Soufian BENAMARA, #NOid\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"gtaO2qGf_mdG\",\"tags\":[\"pdf-title\"]},\"source\":[\"# Generative Adversarial Networks (GANs)\\n\",\"\\n\",\"So far in this course, all the applications of neural networks that we have explored have been **discriminative models** that take an input and are trained to produce a labeled output. This has ranged from straightforward classification of image categories to sentence generation (which was still phrased as a classification problem, our labels were in vocabulary space and we’d learned a recurrence to capture multi-word labels). In this notebook, we will expand our repetoire, and build **generative models** using neural networks. Specifically, we will learn how to build models which generate novel images that resemble a set of training images.\\n\",\"\\n\",\"### What is a GAN?\\n\",\"\\n\",\"In 2014, [Goodfellow et al.](https://arxiv.org/abs/1406.2661) presented a method for training generative models called Generative Adversarial Networks (GANs for short). In a GAN, we build two different neural networks. Our first network is a traditional classification network, called the **discriminator**. We will train the discriminator to take images, and classify them as being real (belonging to the training set) or fake (not present in the training set). Our other network, called the **generator**, will take random noise as input and transform it using a neural network to produce images. The goal of the generator is to fool the discriminator into thinking the images it produced are real.\\n\",\"\\n\",\"We can think of this back and forth process of the generator ($G$) trying to fool the discriminator ($D$), and the discriminator trying to correctly classify real vs. fake as a minimax game:\\n\",\"$$\\\\underset{G}{\\\\text{minimize}}\\\\; \\\\underset{D}{\\\\text{maximize}}\\\\; \\\\mathbb{E}_{x \\\\sim p_\\\\text{data}}\\\\left[\\\\log D(x)\\\\right] + \\\\mathbb{E}_{z \\\\sim p(z)}\\\\left[\\\\log \\\\left(1-D(G(z))\\\\right)\\\\right]$$\\n\",\"where $z \\\\sim p(z)$ are the random noise samples, $G(z)$ are the generated images using the neural network generator $G$, and $D$ is the output of the discriminator, specifying the probability of an input being real. In [Goodfellow et al.](https://arxiv.org/abs/1406.2661), they analyze this minimax game and show how it relates to minimizing the Jensen-Shannon divergence between the training data distribution and the generated samples from $G$.\\n\",\"\\n\",\"To optimize this minimax game, we will aternate between taking gradient *descent* steps on the objective for $G$, and gradient *ascent* steps on the objective for $D$:\\n\",\"1. update the **generator** ($G$) to minimize the probability of the __discriminator making the correct choice__. \\n\",\"2. update the **discriminator** ($D$) to maximize the probability of the __discriminator making the correct choice__.\\n\",\"\\n\",\"While these updates are useful for analysis, they do not perform well in practice. Instead, we will use a different objective when we update the generator: maximize the probability of the **discriminator making the incorrect choice**. This small change helps to allevaiate problems with the generator gradient vanishing when the discriminator is confident. This is the standard update used in most GAN papers, and was used in the original paper from [Goodfellow et al.](https://arxiv.org/abs/1406.2661). \\n\",\"\\n\",\"In this assignment, we will alternate the following updates:\\n\",\"1. Update the generator ($G$) to maximize the probability of the discriminator making the incorrect choice on generated data:\\n\",\"$$\\\\underset{G}{\\\\text{maximize}}\\\\;  \\\\mathbb{E}_{z \\\\sim p(z)}\\\\left[\\\\log D(G(z))\\\\right]$$\\n\",\"2. Update the discriminator ($D$), to maximize the probability of the discriminator making the correct choice on real and generated data:\\n\",\"$$\\\\underset{D}{\\\\text{maximize}}\\\\; \\\\mathbb{E}_{x \\\\sim p_\\\\text{data}}\\\\left[\\\\log D(x)\\\\right] + \\\\mathbb{E}_{z \\\\sim p(z)}\\\\left[\\\\log \\\\left(1-D(G(z))\\\\right)\\\\right]$$\\n\",\"\\n\",\"### What else is there?\\n\",\"Since 2014, GANs have exploded into a huge research area, with massive [workshops](https://sites.google.com/site/nips2016adversarial/), and [hundreds of new papers](https://github.com/hindupuravinash/the-gan-zoo). Compared to other approaches for generative models, they often produce the highest quality samples but are some of the most difficult and finicky models to train (see [this github repo](https://github.com/soumith/ganhacks) that contains a set of 17 hacks that are useful for getting models working). Improving the stabiilty and robustness of GAN training is an open research question, with new papers coming out every day! For a more recent tutorial on GANs, see [here](https://arxiv.org/abs/1701.00160). There is also some even more recent exciting work that changes the objective function to Wasserstein distance and yields much more stable results across model architectures: [WGAN](https://arxiv.org/abs/1701.07875), [WGAN-GP](https://arxiv.org/abs/1704.00028).\\n\",\"\\n\",\"\\n\",\"GANs are not the only way to train a generative model! For other approaches to generative modeling check out the [deep generative model chapter](http://www.deeplearningbook.org/contents/generative_models.html) of the Deep Learning [book](http://www.deeplearningbook.org). Another popular way of training neural networks as generative models is Variational Autoencoders (co-discovered [here](https://arxiv.org/abs/1312.6114) and [here](https://arxiv.org/abs/1401.4082)). Variatonal autoencoders combine neural networks with variationl inference to train deep generative models. These models tend to be far more stable and easier to train but currently don't produce samples that are as pretty as GANs.\\n\",\"\\n\",\"Here's an example of what your outputs from the 3 different models you're going to train should look like... note that GANs are sometimes finicky, so your outputs might not look exactly like this... this is just meant to be a *rough* guideline of the kind of quality you can expect:\\n\",\"\\n\",\"![caption](https://web.eecs.umich.edu/~justincj/teaching/eecs498/assets/a6/gan_outputs_pytorch.png)\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"UzKziWkw_mdK\",\"tags\":[\"pdf-ignore\"]},\"source\":[\"## Setup code\\n\",\"Before getting started, we need to run some boilerplate code to set up our environment, same as previous assignments. You'll need to rerun this setup code each time you start the notebook.\\n\",\"\\n\",\"First, run this cell load the autoreload extension. This allows us to edit .py source files, and re-import them into the notebook for a seamless editing and debugging experience.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"GOondkpep9v5\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1615497018927,\"user_tz\":-60,\"elapsed\":1588,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}}},\"source\":[\"%load_ext autoreload\\n\",\"%autoreload 2\"],\"execution_count\":1,\"outputs\":[]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"sPrpYW0Fp_4N\"},\"source\":[\"### Google Colab Setup\\n\",\"Next we need to run a few commands to set up our environment on Google Colab. If you are running this notebook on a local machine you can skip this section.\\n\",\"\\n\",\"Run the following cell to mount your Google Drive. Follow the link, sign in to your Google account (the same account you used to store this notebook!) and copy the authorization code into the text box that appears below.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"hNe2zxXIqx2Z\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1615497036533,\"user_tz\":-60,\"elapsed\":17014,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"2dfe27e8-0d52-441e-e8f1-e0d64b08929b\"},\"source\":[\"from google.colab import drive\\n\",\"drive.mount('/content/drive')\"],\"execution_count\":2,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Mounted at /content/drive\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"uaoUvjWXqHo9\"},\"source\":[\"Now recall the path in your Google Drive where you uploaded this notebook, fill it in below. If everything is working correctly then running the folowing cell should print the filenames from the assignment:\\n\",\"\\n\",\"```\\n\",\"['eecs598', 'gan.py', 'generative_adversarial_networks.ipynb', 'a6_helper.py', 'vae.py', 'variational_autoencoders.ipynb']\\n\",\"```\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"-gEkt4gsqICp\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1615497051224,\"user_tz\":-60,\"elapsed\":1072,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"2a0dd20b-8598-44a4-bc88-8371a5a9c520\"},\"source\":[\"import os\\n\",\"\\n\",\"# TODO: Fill in the Google Drive path where you uploaded the assignment\\n\",\"# Example: If you create a 2020FA folder and put all the files under A5 folder, then '2020FA/A5'\\n\",\"GOOGLE_DRIVE_PATH_AFTER_MYDRIVE = '2020FA/A6'\\n\",\"GOOGLE_DRIVE_PATH = os.path.join('drive', 'My Drive', GOOGLE_DRIVE_PATH_AFTER_MYDRIVE)\\n\",\"print(os.listdir(GOOGLE_DRIVE_PATH))\"],\"execution_count\":3,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"['gan.py', 'eecs598', '__pycache__', 'a6_helper.py', 'vae_generation.jpg', 'conditional_vae_generation.jpg', 'vae.py', 'variational_autoencoders.ipynb', 'generative_adversarial_networks.ipynb']\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"at01aCfTqVpZ\"},\"source\":[\"Once you have successfully mounted your Google Drive and located the path to this assignment, run th following cell to allow us to import from the `.py` files of this assignment. If it works correctly, it should print the message:\\n\",\"\\n\",\"```\\n\",\"Hello from gan.py!\\n\",\"Hello from a6_helper.py!\\n\",\"```\\n\",\"\\n\",\"as well as the last edit time for the file `gan.py`.\\n\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"h10YGmfmqWfH\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1615497067133,\"user_tz\":-60,\"elapsed\":6189,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"2c1a5014-4cda-4446-f785-8d8ccf09d11b\"},\"source\":[\"import sys\\n\",\"sys.path.append(GOOGLE_DRIVE_PATH)\\n\",\"\\n\",\"import time, os\\n\",\"os.environ[\\\"TZ\\\"] = \\\"US/Eastern\\\"\\n\",\"time.tzset()\\n\",\"\\n\",\"from gan import hello_gan\\n\",\"hello_gan()\\n\",\"\\n\",\"from a6_helper import hello_helper\\n\",\"hello_helper()\"],\"execution_count\":4,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Hello from gan.py!\\n\",\"Hello from a6_helper.py!\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"78rH-FoC_mdL\",\"tags\":[\"pdf-ignore\"],\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1615497073227,\"user_tz\":-60,\"elapsed\":3849,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}}},\"source\":[\"import math\\n\",\"import torch\\n\",\"import torch.nn as nn\\n\",\"from torch.nn import init\\n\",\"import torchvision\\n\",\"import torchvision.transforms as T\\n\",\"import torch.optim as optim\\n\",\"from torch.utils.data import DataLoader\\n\",\"from torch.utils.data import sampler\\n\",\"import torchvision.datasets as dset\\n\",\"\\n\",\"import matplotlib.pyplot as plt\\n\",\"import matplotlib.gridspec as gridspec\\n\",\"\\n\",\"from eecs598.grad import rel_error\\n\",\"from eecs598.utils import reset_seed\\n\",\"\\n\",\"%matplotlib inline\\n\",\"plt.rcParams['figure.figsize'] = (10.0, 8.0) # set default size of plots\\n\",\"plt.rcParams['image.interpolation'] = 'nearest'\\n\",\"plt.rcParams['image.cmap'] = 'gray'\"],\"execution_count\":5,\"outputs\":[]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"FudOhR-d_mdg\",\"tags\":[\"pdf-ignore\"]},\"source\":[\"Note that if CUDA is not enabled, `torch.cuda.is_available()` will return False and this notebook will fallback to CPU mode.\\n\",\"\\n\",\"The global variables `dtype` and `device` will control the data types throughout this assignment.\\n\",\"\\n\",\"We will be using `torch.float = torch.float32` for all operations.\\n\",\"\\n\",\"Please refer to https://pytorch.org/docs/stable/tensor_attributes.html#torch-dtype for more details about data types.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"blz1sXlkIL_q\",\"tags\":[\"pdf-ignore-input\"],\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1615497073731,\"user_tz\":-60,\"elapsed\":689,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"2127a98d-7226-4bf6-92a3-69b943c2ee38\"},\"source\":[\"if torch.cuda.is_available():\\n\",\"  print('Good to go!')\\n\",\"else:\\n\",\"\\n\",\"  print('Please set GPU via Edit -> Notebook Settings.')\"],\"execution_count\":6,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Good to go!\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"Fa68wtAMQJKr\"},\"source\":[\" Now we'll import some helper functions from the `a6_helper.py` we've provided to help us visualize the MNIST dataset, verify the neural networks you implement, and initialize weights in the `torch.nn` modules you'll write.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"CzZnoR2pZ5rY\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1615497085963,\"user_tz\":-60,\"elapsed\":773,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}}},\"source\":[\"from a6_helper import show_images, count_params, initialize_weights\\n\",\"\\n\",\"dtype = torch.float\\n\",\"device = 'cuda'\\n\",\"answers = {}\\n\",\"\\n\"],\"execution_count\":7,\"outputs\":[]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"K6MV195M_mdR\",\"tags\":[\"pdf-ignore\"]},\"source\":[\"## Dataset\\n\",\" GANs are notoriously finicky with hyperparameters, and also require many training epochs. In order to make this assignment approachable, we will be working on the MNIST dataset, which is 60,000 training and 10,000 test images. Each picture contains a centered image of white digit on black background (0 through 9). This was one of the first datasets used to train convolutional neural networks and it is fairly easy -- a standard CNN model can easily exceed 99% accuracy. \\n\",\"\\n\",\"To simplify our code here, we will use the PyTorch MNIST wrapper, which downloads and loads the MNIST dataset. See the [documentation](https://github.com/pytorch/vision/blob/master/torchvision/datasets/mnist.py) for more information about the interface. The default parameters will take 5,000 of the training examples and place them into a validation dataset. The data will be saved into a folder called `MNIST_data`. \"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"hVIGFRTz_mdS\",\"tags\":[\"pdf-ignore\"],\"colab\":{\"base_uri\":\"https://localhost:8080/\",\"height\":646},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1615497196624,\"user_tz\":-60,\"elapsed\":4732,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"0174b6a0-0463-41f8-ee90-8a08099f8710\"},\"source\":[\"batch_size = 128\\n\",\"NOISE_DIM = 96\\n\",\"\\n\",\"print('download MNIST if not exist')\\n\",\"\\n\",\"mnist_train = dset.MNIST('./MNIST_data', train=True, download=True,\\n\",\"                           transform=T.ToTensor())\\n\",\"loader_train = DataLoader(mnist_train, batch_size=batch_size,\\n\",\"                          shuffle=True, drop_last=True, num_workers=2)\\n\",\"\\n\",\"\\n\",\"imgs = loader_train.__iter__().next()[0].view(batch_size, 784)\\n\",\"show_images(imgs)\"],\"execution_count\":12,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"download MNIST if not exist\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 864x864 with 128 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"fZvir2Cm_mdV\"},\"source\":[\"## Random Noise\\n\",\"The first step is to generate uniform noise from -1 to 1 with shape `[batch_size, noise_dim]`\\n\",\"\\n\",\"Hint: use `torch.rand`.\\n\",\"\\n\",\"Implement `sample_noise` and verify all tests pass below\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"NdUieMiy_mdZ\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1615497336591,\"user_tz\":-60,\"elapsed\":970,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"35ee9a05-f992-46d3-aa0c-5cf395226112\"},\"source\":[\"from gan import sample_noise\\n\",\"reset_seed(0)\\n\",\"\\n\",\"\\n\",\"batch_size = 3\\n\",\"noise_dim = 4\\n\",\"\\n\",\"z = sample_noise(batch_size, noise_dim)\\n\",\"assert z.shape == (batch_size, noise_dim)\\n\",\"assert torch.is_tensor(z)\\n\",\"assert torch.all(z >= -1.0) and torch.all(z <= 1.0)\\n\",\"assert torch.any(z < 0.0) and torch.any(z > 0.0)\\n\",\"print('All tests passed!')\"],\"execution_count\":13,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"All tests passed!\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"16F3IOHK_mdj\"},\"source\":[\"# Discriminator\\n\",\"Our first step is to build a discriminator. All fully connected layers should include bias terms. The architecture is:\\n\",\" * Fully connected layer with input size 784 and output size 256\\n\",\" * LeakyReLU with alpha 0.01\\n\",\" * Fully connected layer with input_size 256 and output size 256\\n\",\" * LeakyReLU with alpha 0.01\\n\",\" * Fully connected layer with input size 256 and output size 1\\n\",\" \\n\",\"Recall that the Leaky ReLU nonlinearity computes $f(x) = \\\\max(\\\\alpha x, x)$ for some fixed constant $\\\\alpha$; for the LeakyReLU nonlinearities in the architecture above we set $\\\\alpha=0.01$.\\n\",\" \\n\",\"The output of the discriminator should have shape `[batch_size, 1]`, and contain real numbers corresponding to the scores that each of the `batch_size` inputs is a real image. \"]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"6O2hnRu9_mdo\"},\"source\":[\"Implement `discriminator` in `gan.py` and test your solution by running the cell below. Be sure to use `nn.Sequential` for this model definition and all future models in this notebook.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"D0bfhJhp_mdp\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1615497462672,\"user_tz\":-60,\"elapsed\":558,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"5779187e-ba36-4cbb-e164-658d3b32839b\"},\"source\":[\"from gan import discriminator\\n\",\"\\n\",\"def test_discriminator(true_count=267009):\\n\",\"  model = discriminator()\\n\",\"  cur_count = count_params(model)\\n\",\"  print(cur_count)\\n\",\"  if cur_count != true_count:\\n\",\"    print('Incorrect number of parameters in discriminator. Check your achitecture.')\\n\",\"  else:\\n\",\"    print('Correct number of parameters in discriminator.')     \\n\",\"\\n\",\"test_discriminator()\"],\"execution_count\":16,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"267009\\n\",\"Correct number of parameters in discriminator.\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"gIorZ7EK_mds\"},\"source\":[\"# Generator\\n\",\"Now to build the generator network:\\n\",\" * Fully connected layer from noise_dim to 1024\\n\",\" * `ReLU`\\n\",\" * Fully connected layer with size 1024 \\n\",\" * `ReLU`\\n\",\" * Fully connected layer with size 784\\n\",\" * `TanH` (to clip the image to be in the range of [-1,1])\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"CCOQsxPR_mdx\"},\"source\":[\"Implement `generator` in `gan.py` and test your solution by running the cell below.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"-3Og3IjU_mdz\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1615497507142,\"user_tz\":-60,\"elapsed\":671,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"26969d58-9c99-4028-a970-e24f8e1e1cea\"},\"source\":[\"from gan import generator\\n\",\"\\n\",\"def test_generator(true_count=1858320):\\n\",\"  model = generator(4)\\n\",\"  cur_count = count_params(model)\\n\",\"  print(cur_count)\\n\",\"  if cur_count != true_count:\\n\",\"    print('Incorrect number of parameters in generator. Check your achitecture.')\\n\",\"  else:\\n\",\"    print('Correct number of parameters in generator.')\\n\",\"\\n\",\"test_generator()\"],\"execution_count\":17,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"1858320\\n\",\"Correct number of parameters in generator.\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"ayjC9wo8_md1\"},\"source\":[\"# GAN Loss\\n\",\"\\n\",\"Compute the generator and discriminator loss. The generator loss is:\\n\",\"$$\\\\ell_G  =  -\\\\mathbb{E}_{z \\\\sim p(z)}\\\\left[\\\\log D(G(z))\\\\right]$$\\n\",\"and the discriminator loss is:\\n\",\"$$ \\\\ell_D = -\\\\mathbb{E}_{x \\\\sim p_\\\\text{data}}\\\\left[\\\\log D(x)\\\\right] - \\\\mathbb{E}_{z \\\\sim p(z)}\\\\left[\\\\log \\\\left(1-D(G(z))\\\\right)\\\\right]$$\\n\",\"Note that these are negated from the equations presented earlier as we will be *minimizing* these losses.\\n\",\"\\n\",\"For the purpose of these equations, we assume that the output from the discriminator is a real number in the range $0 < D(x) < 1$ which results from squashing the raw score from the discriminator through a sigmoid function. However for a cleaner and more numerically stable implementation, we have not included the sigmoid in the discriminator architecture above -- instead we will implement the sigmoid as part of the loss function.\\n\",\"\\n\",\"**HINTS**: You can use the function [`torch.nn.functional.binary_cross_entropy_with_logits`](https://pytorch.org/docs/stable/nn.functional.html#binary-cross-entropy-with-logits) to compute these losses in a numerically stable manner.\\n\",\"\\n\",\"Given a score $s\\\\in\\\\mathbb{R}$ and a label $y\\\\in\\\\{0, 1\\\\}$, the binary cross entropy loss (with logits) is defined as:\\n\",\"\\n\",\"$$ bce(s, y) = -y * \\\\log(\\\\sigma(s)) - (1 - y) * \\\\log(1 - \\\\sigma(s)) $$\\n\",\"\\n\",\"where $\\\\sigma(s)=1/(1+\\\\exp(-s))$ is the sigmoid function.\\n\",\"\\n\",\"A naive implementation of this formula can be numerically unstable, so you should prefer to use the built-in PyTorch implementation.\\n\",\"\\n\",\"You will also need to compute labels corresponding to real or fake and use the logit arguments to determine their size. Make sure you cast these labels to the correct data type using the global `dtype` variable, for example:\\n\",\"\\n\",\"`true_labels = torch.ones(size, device=device)`\\n\",\"\\n\",\"Instead of computing the expectation of $\\\\log D(G(z))$, $\\\\log D(x)$ and $\\\\log \\\\left(1-D(G(z))\\\\right)$, we will be averaging over elements of the minibatch, so make sure to combine the loss by averaging instead of summing.\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"RNjvlGIP_md8\"},\"source\":[\"Implement `discriminator_loss` and `generator_loss` in `gan.py` and test your solution by running the cell below.. You should see errors < `1e-7`.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"vcQsiznb_md9\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1615497978542,\"user_tz\":-60,\"elapsed\":872,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"e1d3b39e-b303-46dc-f68f-25f8073c3d5b\"},\"source\":[\"from gan import discriminator_loss\\n\",\"\\n\",\"answers['logits_fake'] = torch.tensor(\\n\",\"  [-1.80865868,  0.09030055, -0.4428902 , -0.07879368, -0.37655044,\\n\",\"    0.32084742, -0.28590837,  1.01376281,  0.99241439,  0.39394346],\\n\",\"  dtype=dtype, device=device)\\n\",\"answers['d_loss_true'] = torch.tensor(1.8423983904443109, dtype=dtype, device=device)\\n\",\"answers['logits_real'] = torch.tensor(\\n\",\"  [ 0.93487311, -1.01698916, -0.57304769, -0.88162704, -1.40129389,\\n\",\"   -1.45395693, -1.54239755, -0.57273325,  0.98584429,  0.13312152],\\n\",\"  dtype=dtype, device=device)\\n\",\"\\n\",\"def test_discriminator_loss(logits_real, logits_fake, d_loss_true):\\n\",\"  d_loss = discriminator_loss(logits_real, logits_fake)\\n\",\"  print(\\\"Maximum error in d_loss: %g\\\"%rel_error(d_loss_true, d_loss))\\n\",\"test_discriminator_loss(answers['logits_real'], answers['logits_fake'],\\n\",\"                        answers['d_loss_true'])\"],\"execution_count\":22,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Maximum error in d_loss: 0\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"c_q2hBzD_meA\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1615498012207,\"user_tz\":-60,\"elapsed\":673,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"8d1024c3-40d8-4379-9ddf-9ef52542fa03\"},\"source\":[\"from gan import generator_loss\\n\",\"\\n\",\"answers['g_loss_true'] = torch.tensor(0.771286196423346, dtype=dtype, device=device)\\n\",\"\\n\",\"def test_generator_loss(logits_fake, g_loss_true):\\n\",\"  g_loss = generator_loss(logits_fake)\\n\",\"  print(\\\"Maximum error in g_loss: %g\\\"%rel_error(g_loss_true, g_loss))\\n\",\"\\n\",\"test_generator_loss(answers['logits_fake'], answers['g_loss_true'])\"],\"execution_count\":23,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Maximum error in g_loss: 0\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"zE1L2nqy_meD\"},\"source\":[\"# Optimizing our loss\\n\",\"\\n\",\"\\n\",\"Next, you'll define a function that returns an `optim.Adam` optimizer for the given model with a 1e-3 learning rate, beta1=0.5, beta2=0.999. We'll use this to construct optimizers for the generators and discriminators for the rest of the notebook in `get_optimizer`.\\n\",\"\\n\",\"Implement `get_optimizer` in `gan.py` before moving forward in the notebook\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"674H6PyJ_meH\"},\"source\":[\"# Training a GAN!\\n\",\"\\n\",\"We provide you the main training loop... you won't need to change this function, but we encourage you to read through and understand it. \"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"8NVHWpSd_meI\",\"tags\":[\"pdf-ignore\"],\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1615498093251,\"user_tz\":-60,\"elapsed\":812,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}}},\"source\":[\"def run_a_gan(D, G, D_solver, G_solver, discriminator_loss, generator_loss, save_filename, show_every=250, \\n\",\"              batch_size=128, noise_size=96, num_epochs=10):\\n\",\"  \\\"\\\"\\\"\\n\",\"  Train a GAN!\\n\",\"  \\n\",\"  Inputs:\\n\",\"  - D, G: PyTorch models for the discriminator and generator\\n\",\"  - D_solver, G_solver: torch.optim Optimizers to use for training the\\n\",\"    discriminator and generator.\\n\",\"  - discriminator_loss, generator_loss: Functions to use for computing the generator and\\n\",\"    discriminator loss, respectively.\\n\",\"  - show_every: Show samples after every show_every iterations.\\n\",\"  - batch_size: Batch size to use for training.\\n\",\"  - noise_size: Dimension of the noise to use as input to the generator.\\n\",\"  - num_epochs: Number of epochs over the training dataset to use for training.\\n\",\"  \\\"\\\"\\\"\\n\",\"  iter_count = 0\\n\",\"  for epoch in range(num_epochs):\\n\",\"    for x, _ in loader_train:\\n\",\"      if len(x) != batch_size:\\n\",\"        continue\\n\",\"      D_solver.zero_grad()\\n\",\"      real_data = x.view(-1, 784).to(device)\\n\",\"      logits_real = D(2* (real_data - 0.5))\\n\",\"\\n\",\"      g_fake_seed = sample_noise(batch_size, noise_size, dtype=real_data.dtype, device=real_data.device)\\n\",\"      fake_images = G(g_fake_seed).detach()\\n\",\"      logits_fake = D(fake_images)\\n\",\"\\n\",\"      d_total_error = discriminator_loss(logits_real, logits_fake)\\n\",\"      d_total_error.backward()        \\n\",\"      D_solver.step()\\n\",\"\\n\",\"      G_solver.zero_grad()\\n\",\"      g_fake_seed = sample_noise(batch_size, noise_size, dtype=real_data.dtype, device=real_data.device)\\n\",\"      fake_images = G(g_fake_seed)\\n\",\"\\n\",\"      gen_logits_fake = D(fake_images)\\n\",\"      g_error = generator_loss(gen_logits_fake)\\n\",\"      g_error.backward()\\n\",\"      G_solver.step()\\n\",\"\\n\",\"      if (iter_count % show_every == 0):\\n\",\"        print('Iter: {}, D: {:.4}, G:{:.4}'.format(iter_count,d_total_error.item(),g_error.item()))\\n\",\"        imgs_numpy = fake_images.data.cpu()#.numpy()\\n\",\"        show_images(imgs_numpy[0:16])\\n\",\"        plt.show()\\n\",\"        print()\\n\",\"      iter_count += 1\\n\",\"    if epoch == num_epochs - 1:\\n\",\"      show_images(imgs_numpy[0:16])\\n\",\"      plt.savefig(os.path.join(GOOGLE_DRIVE_PATH,save_filename))\"],\"execution_count\":24,\"outputs\":[]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"Mtn7BrtHOOPB\"},\"source\":[\"Now run the cell below to train your first GAN! Your last epoch results will be stored in `fc_gan_results.jpg` for you to submit to the autograder\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"-Bh2wehE_meR\",\"colab\":{\"base_uri\":\"https://localhost:8080/\",\"height\":1000},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1615498940466,\"user_tz\":-60,\"elapsed\":73457,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"8b334f75-0bf6-4227-d3cf-8db506c52299\"},\"source\":[\"from gan import get_optimizer\\n\",\"reset_seed(0)\\n\",\"\\n\",\"# Make the discriminator\\n\",\"D = discriminator().to(device)\\n\",\"\\n\",\"# Make the generator\\n\",\"G = generator().to(device)\\n\",\"\\n\",\"# Use the function you wrote earlier to get optimizers for the Discriminator and the Generator\\n\",\"D_solver = get_optimizer(D)\\n\",\"G_solver = get_optimizer(G)\\n\",\"# Run it!\\n\",\"run_a_gan(D, G, D_solver, G_solver, discriminator_loss, generator_loss, 'fc_gan_results.jpg')\"],\"execution_count\":36,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Iter: 0, D: 1.371, G:0.6864\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 288x288 with 16 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"\\n\",\"Iter: 250, D: 1.437, G:0.8818\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 288x288 with 16 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"\\n\",\"Iter: 500, D: 1.358, G:1.034\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 288x288 with 16 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"\\n\",\"Iter: 750, D: 1.266, G:1.045\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 288x288 with 16 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"\\n\",\"Iter: 1000, D: 1.29, G:0.9043\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 288x288 with 16 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"\\n\",\"Iter: 1250, D: 1.188, G:1.094\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 288x288 with 16 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"\\n\",\"Iter: 1500, D: 1.358, G:1.117\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 288x288 with 16 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"\\n\",\"Iter: 1750, D: 1.255, G:1.432\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 288x288 with 16 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"\\n\",\"Iter: 2000, D: 1.33, G:1.122\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 288x288 with 16 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"\\n\",\"Iter: 2250, D: 1.387, G:0.8417\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 288x288 with 16 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"\\n\",\"Iter: 2500, D: 1.388, G:0.9223\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 288x288 with 16 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"\\n\",\"Iter: 2750, D: 1.258, G:0.9605\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 288x288 with 16 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"\\n\",\"Iter: 3000, D: 1.32, G:1.077\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 288x288 with 16 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"\\n\",\"Iter: 3250, D: 1.289, G:0.8737\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 288x288 with 16 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"\\n\",\"Iter: 3500, D: 1.505, G:0.804\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 288x288 with 16 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"\\n\",\"Iter: 3750, D: 1.244, G:0.8046\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 288x288 with 16 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"\\n\",\"Iter: 4000, D: 1.287, G:0.7989\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 288x288 with 16 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"\\n\",\"Iter: 4250, D: 1.353, G:0.8758\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 288x288 with 16 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"\\n\",\"Iter: 4500, D: 1.304, G:0.7464\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 288x288 with 16 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\\n\",\"text/plain\":[\"<Figure size 288x288 with 16 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"qOAzglMK_meW\",\"tags\":[\"pdf-ignore\"]},\"source\":[\"Well that wasn't so hard, was it? In the iterations in the low 100s you should see black backgrounds, fuzzy shapes as you approach iteration 1000, and decent shapes, about half of which will be sharp and clearly recognizable as we pass 3000.\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"ujBJ8SLm_meX\"},\"source\":[\"# Least Squares GAN\\n\",\"We'll now look at [Least Squares GAN](https://arxiv.org/abs/1611.04076), a newer, more stable alernative to the original GAN loss function. For this part, all we have to do is change the loss function and retrain the model. We'll implement equation (9) in the paper, with the generator loss:\\n\",\"$$\\\\ell_G  =  \\\\frac{1}{2}\\\\mathbb{E}_{z \\\\sim p(z)}\\\\left[\\\\left(D(G(z))-1\\\\right)^2\\\\right]$$\\n\",\"\\n\",\"and the discriminator loss:\\n\",\"\\n\",\"$$ \\\\ell_D = \\\\frac{1}{2}\\\\mathbb{E}_{x \\\\sim p_\\\\text{data}}\\\\left[\\\\left(D(x)-1\\\\right)^2\\\\right] + \\\\frac{1}{2}\\\\mathbb{E}_{z \\\\sim p(z)}\\\\left[ \\\\left(D(G(z))\\\\right)^2\\\\right]$$\\n\",\"\\n\",\"In these equations, we assume that the output from the discriminator is an unbounded real number $-\\\\infty < D(x) < \\\\infty$.\\n\",\"\\n\",\"\\n\",\"**HINTS**: Instead of computing the expectation, we will be averaging over elements of the minibatch, so make sure to combine the loss by averaging instead of summing. When plugging in for $D(x)$ and $D(G(z))$ use the direct output from the discriminator (`scores_real` and `scores_fake`).\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"i1fn2OqI_mea\"},\"source\":[\"Verify your implementation below, you should see relative errors of < `1e-7` or less\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"WGrWDusD_meb\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1615498175110,\"user_tz\":-60,\"elapsed\":687,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"6c796cf4-7522-4bc1-f1c9-f1be6319732d\"},\"source\":[\"from gan import ls_discriminator_loss\\n\",\"from gan import ls_generator_loss\\n\",\"\\n\",\"answers['d_loss_lsgan_true'] = torch.tensor(1.8770293614440594, dtype=dtype, device=device)\\n\",\"answers['g_loss_lsgan_true'] = torch.tensor(0.816954786997558, dtype=dtype, device=device)\\n\",\"def test_lsgan_loss(score_real, score_fake, d_loss_true, g_loss_true):\\n\",\"  d_loss = ls_discriminator_loss(score_real, score_fake)\\n\",\"  g_loss = ls_generator_loss(score_fake)\\n\",\"  print(\\\"Maximum error in d_loss: %g\\\"%rel_error(d_loss_true, d_loss))\\n\",\"  print(\\\"Maximum error in g_loss: %g\\\"%rel_error(g_loss_true, g_loss))\\n\",\"\\n\",\"test_lsgan_loss(answers['logits_real'], answers['logits_fake'],\\n\",\"                answers['d_loss_lsgan_true'], answers['g_loss_lsgan_true'])\"],\"execution_count\":26,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Maximum error in d_loss: 0\\n\",\"Maximum error in g_loss: 0\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"wu8O7N75_mee\"},\"source\":[\"Run the following cell to train your model! Your last epoch results will be stored in `ls_gan_results.jpg` for you to submit to the autograder\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"9aMeH5iR_mef\",\"colab\":{\"base_uri\":\"https://localhost:8080/\",\"height\":1000},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1615499036333,\"user_tz\":-60,\"elapsed\":73422,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"e98656ec-c78e-4252-8720-66464c576924\"},\"source\":[\"reset_seed(0)\\n\",\"\\n\",\"D_LS = discriminator().to(device)\\n\",\"G_LS = generator().to(device)\\n\",\"\\n\",\"D_LS_solver = get_optimizer(D_LS)\\n\",\"G_LS_solver = get_optimizer(G_LS)\\n\",\"\\n\",\"run_a_gan(D_LS, G_LS, D_LS_solver, G_LS_solver, ls_discriminator_loss, ls_generator_loss, 'ls_gan_results.jpg')\"],\"execution_count\":37,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Iter: 0, D: 0.442, G:0.4588\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 288x288 with 16 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"\\n\",\"Iter: 250, D: 0.1505, G:0.4346\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 288x288 with 16 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"\\n\",\"Iter: 500, D: 0.1209, G:0.3327\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 288x288 with 16 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"\\n\",\"Iter: 750, D: 0.1663, G:0.5709\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 288x288 with 16 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"\\n\",\"Iter: 1000, D: 0.1778, G:0.3331\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 288x288 with 16 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"\\n\",\"Iter: 1250, D: 0.1459, G:0.3064\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 288x288 with 16 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"\\n\",\"Iter: 1500, D: 0.2053, G:0.3495\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 288x288 with 16 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"\\n\",\"Iter: 1750, D: 0.2367, G:0.1749\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 288x288 with 16 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"\\n\",\"Iter: 2000, D: 0.19, G:0.2417\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 288x288 with 16 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"\\n\",\"Iter: 2250, D: 0.2206, G:0.1623\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 288x288 with 16 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"\\n\",\"Iter: 2500, D: 0.2236, G:0.1587\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 288x288 with 16 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"\\n\",\"Iter: 2750, D: 0.2212, G:0.1496\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 288x288 with 16 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"\\n\",\"Iter: 3000, D: 0.2443, G:0.1685\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 288x288 with 16 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"\\n\",\"Iter: 3250, D: 0.2274, G:0.1639\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 288x288 with 16 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"\\n\",\"Iter: 3500, D: 0.217, G:0.1683\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 288x288 with 16 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"\\n\",\"Iter: 3750, D: 0.2266, G:0.1637\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 288x288 with 16 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"\\n\",\"Iter: 4000, D: 0.2199, G:0.1784\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 288x288 with 16 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"\\n\",\"Iter: 4250, D: 0.2459, G:0.1586\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 288x288 with 16 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"\\n\",\"Iter: 4500, D: 0.2345, G:0.1779\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 288x288 with 16 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\\n\",\"text/plain\":[\"<Figure size 288x288 with 16 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"ULFkXw00_mej\"},\"source\":[\"# Deeply Convolutional GANs\\n\",\"In the first part of the notebook, we implemented an almost direct copy of the original GAN network from Ian Goodfellow. However, this network architecture allows no real spatial reasoning. It is unable to reason about things like \\\"sharp edges\\\" in general because it lacks any convolutional layers. Thus, in this section, we will implement some of the ideas from [DCGAN](https://arxiv.org/abs/1511.06434), where we use convolutional networks.\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"7pz0MKv434KQ\"},\"source\":[\"#### Discriminator\\n\",\"We will use a discriminator inspired by the TensorFlow MNIST classification tutorial, which is able to get above 99% accuracy on the MNIST dataset fairly quickly. \\n\",\"* Reshape into image tensor (Use `nn.Unflatten`!)\\n\",\"* Conv2D: 32 Filters, 5x5, Stride 1\\n\",\"* Leaky ReLU(alpha=0.01)\\n\",\"* Max Pool 2x2, Stride 2\\n\",\"* Conv2D: 64 Filters, 5x5, Stride 1\\n\",\"* Leaky ReLU(alpha=0.01)\\n\",\"* Max Pool 2x2, Stride 2\\n\",\"* Flatten\\n\",\"* Fully Connected with output size 4 x 4 x 64\\n\",\"* Leaky ReLU(alpha=0.01)\\n\",\"* Fully Connected with output size 1\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"KB_tDRgT_mek\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1615498325537,\"user_tz\":-60,\"elapsed\":692,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"03cdc8e4-6476-4862-904e-da203faf20e1\"},\"source\":[\"from gan import build_dc_classifier\\n\",\"\\n\",\"data = next(enumerate(loader_train))[-1][0].to(dtype=dtype, device=device)\\n\",\"batch_size = data.size(0)\\n\",\"b = build_dc_classifier().to(device)\\n\",\"data = data.view(-1, 784)\\n\",\"out = b(data)\\n\",\"print(out.size())\"],\"execution_count\":28,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"torch.Size([128, 1])\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"2sNaW7rw_men\"},\"source\":[\"Check the number of parameters in your classifier as a sanity check:\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"Hnzw9vXq_meo\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1615498329737,\"user_tz\":-60,\"elapsed\":843,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"33569fb3-64d0-4041-cb1e-94797821a0ed\"},\"source\":[\"def test_dc_classifer(true_count=1102721):\\n\",\"  model = build_dc_classifier()\\n\",\"  cur_count = count_params(model)\\n\",\"  print(cur_count)\\n\",\"  if cur_count != true_count:\\n\",\"    print('Incorrect number of parameters in generator. Check your achitecture.')\\n\",\"  else:\\n\",\"    print('Correct number of parameters in generator.')\\n\",\"\\n\",\"test_dc_classifer()\"],\"execution_count\":29,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"1102721\\n\",\"Correct number of parameters in generator.\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"RfH2fcBv_mew\"},\"source\":[\"#### Generator\\n\",\"For the generator, we will copy the architecture exactly from the [InfoGAN paper](https://arxiv.org/pdf/1606.03657.pdf). See Appendix C.1 MNIST. See the documentation for [nn.ConvTranspose2d](https://pytorch.org/docs/stable/nn.html#convtranspose2d). We are always \\\"training\\\" in GAN mode. \\n\",\"* Fully connected with output size 1024\\n\",\"* `ReLU`\\n\",\"* BatchNorm\\n\",\"* Fully connected with output size 7 x 7 x 128 \\n\",\"* `ReLU`\\n\",\"* BatchNorm\\n\",\"* Reshape into Image Tensor of shape 7 x 7 x 128\\n\",\"* Conv2D^T (Transpose): 64 filters of 4x4, stride 2, 'same' padding (use `padding=1`)\\n\",\"* `ReLU`\\n\",\"* BatchNorm\\n\",\"* Conv2D^T (Transpose): 1 filter of 4x4, stride 2, 'same' padding (use `padding=1`)\\n\",\"* `TanH`\\n\",\"* Should have a 28 x 28 x 1 image, reshape back into 784 vector\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"qJRCSqvm_mew\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1615498501391,\"user_tz\":-60,\"elapsed\":731,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"d65a2106-8aca-4def-94b5-0f9f86593a04\"},\"source\":[\"from gan import build_dc_generator\\n\",\"\\n\",\"test_g_gan = build_dc_generator().to(device)\\n\",\"test_g_gan.apply(initialize_weights)\\n\",\"\\n\",\"fake_seed = torch.randn(batch_size, NOISE_DIM, dtype=dtype, device=device)\\n\",\"fake_images = test_g_gan.forward(fake_seed)\\n\",\"fake_images.size()\"],\"execution_count\":32,\"outputs\":[{\"output_type\":\"execute_result\",\"data\":{\"text/plain\":[\"torch.Size([128, 784])\"]},\"metadata\":{\"tags\":[]},\"execution_count\":32}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"uIz2DO7M_me0\"},\"source\":[\"Check the number of parameters in your generator as a sanity check:\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"a9uu1yy2_me1\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1615498511775,\"user_tz\":-60,\"elapsed\":577,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"1b989aa9-15ab-4532-ce4b-5a5ba26e6a2c\"},\"source\":[\"def test_dc_generator(true_count=6580801):\\n\",\"  model = build_dc_generator(4)\\n\",\"  cur_count = count_params(model)\\n\",\"  print(cur_count)\\n\",\"  if cur_count != true_count:\\n\",\"    print('Incorrect number of parameters in generator. Check your achitecture.')\\n\",\"  else:\\n\",\"    print('Correct number of parameters in generator.')\\n\",\"\\n\",\"test_dc_generator()\"],\"execution_count\":33,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"6580801\\n\",\"Correct number of parameters in generator.\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"KZ2275lrSZAS\"},\"source\":[\"Now, let's train our DC-GAN! Your last epoch results will be stored in `dc_gan_results.jpg` for you to submit to the autograder\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"FZUM0ygr_me6\",\"colab\":{\"base_uri\":\"https://localhost:8080/\",\"height\":1000},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1615499096823,\"user_tz\":-60,\"elapsed\":49574,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"0b305f0b-791b-4f54-f12c-27285c4625f1\"},\"source\":[\"reset_seed(0)\\n\",\"\\n\",\"D_DC = build_dc_classifier().to(device) \\n\",\"D_DC.apply(initialize_weights)\\n\",\"G_DC = build_dc_generator().to(device)\\n\",\"G_DC.apply(initialize_weights)\\n\",\"\\n\",\"D_DC_solver = get_optimizer(D_DC)\\n\",\"G_DC_solver = get_optimizer(G_DC)\\n\",\"\\n\",\"run_a_gan(D_DC, G_DC, D_DC_solver, G_DC_solver, discriminator_loss, generator_loss, 'dc_gan_results.jpg', num_epochs=5)\"],\"execution_count\":38,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Iter: 0, D: 1.392, G:0.8583\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"iVBORw0KGgoAAAANSUhEUgAAAOwAAADnCAYAAAAdFLrXAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+WH4yJAAAgAElEQVR4nOzdedyXY/o//mMsWcaSQdQMM3bGLmOdZEkoYjKTNaIsicIgYmpaxCC7YrJlSzFhGI1IiCHbhLGUrclW+cqSJaT790ff53G976vu++O/3+f+Pq7jn1u39329r+s8z/fxOl6v43We75/U1dVFFVVU0TRiqf+/b6CKKqr48VF9YKuooglF9YGtooomFNUHtooqmlBUH9gqqmhCsUxj/3Pw4MF1EREff/xxRET8/Oc/j4iIrbfeOiIivvnmm5g0aVJERPTs2TMiIv7+979HRMRXX30VERH/5//8n4iI2HLLLSMiYty4cRERMWvWrIiIOOCAA+KHH36o9zcLFy6MiIiVV145IiK+//77iIho2bJlRESssMIKERGxzTbbRETE3LlzIyLiyiuvzNe45tJLLx0REfvss09ERBx55JE/qX3Gu+++uy4i4p///GdERJx44okREfHpp5/mdV588cWIiOjcuXNERFxwwQUREbHrrrtGRMSvf/3riIj417/+FRER2267bUREvPvuuxER8cUXX8ROO+0UERHPPfdcRETsvPPOERHx5JNPRkTEJptsEhER11xzTUQUY/zCCy9ERMTRRx8dERE77LBD/OxnP4uIiGuvvTYiIn7zm9/Uu9aQIUPyGR9++OG6iGLuPv/883rj06JFizjmmGMiIuKRRx6JiIgjjjgiIiLOPffciIh48803IyJipZVWiohiTldZZZWIWDQPr732WkREXHHFFRERceSRR0ZExMSJEyMi4r///W9EROy///4REfHUU09FRMQpp5wSERFrrbVWRETcc889OfZ77713RER88sknERH5HkOHDq03h9bpRx99FBERzZo1i9pn3nnnnePSSy+td80HH3yw3rNsvvnmERGx4447RkTEX/7yl3rPMWfOnPzbb775JiIi5s2bFxERq622WkQUa8g6+eCDDyIi4o033qg3frvttls+S+vWrSMico3NmTMnIurPYW1UCFtFFU0oGkVYyAYVvvzyy4iIGD16dEQsykIQbMKECRFRZJMTTjghIoqM271794goEHbs2LERETFq1KiYPn16RET88Y9/jIiI+++/PyIi1l9//YhYlHUjClSSnaH2Z599FhGLMqv3O+OMMyKiQBIZrRyyoGvJ5q+88kpERGyxxRbx+9//PiIi+vfvHxEFosrGXbp0iYgio3fr1i0iCgT6y1/+Etttt129ez300EMjokDrW2+9NSIi3nvvvYiI+N3vfhcREY8//njeR0TEP/7xj3jmmWciImKppRbl2z/84Q8RETF//vzFnu/999+PiIhLLrkkIiJefvnliIh4+OGHI2IRKl988cURUSDUVlttFRHFPIwZMyYiIm6++eaIKND/6quvjohFKLnnnntGRIFIq6++ekREDBs2LCIi9thjj4iIRLo+ffpERIGsq666akQsWmOqitNPPz0iIt56661691MO466KOfXUUyOiqBhmz54dxx9/fERE8B14X+N/zjnnRETkWhw6dGhEROy3334RsWidbrTRRhER0a5du4iIuPPOOyOiWDPGZ9q0aRERscYaa0RERNeuXSMi4qCDDspnNT433HBDRBRzucwyjX4kK4StooqmFI1+nP/zn/9ERJFJZODbbrstIiJuv/322G233SKiyMJQWCb/yU8WleJ77bVXRERMnTo1IopMe9111yUKyKy9evWKiIinn346IiLuvffeiCj4sQwmK0GECRMmJDc577zzIqLgDS+99NISn1HGxSHatm1b7z579uyZ94oz42My5i9+8YuIiDjzzDPr/e13330XEYt42/LLLx8RBeoecMABEVFUMRdeeGFEFNXDBhtsEBER/fr1i4iIu+66KyIiNtxww+SFdAPve9hhhy32fLNnz46IolpZccUV673veeedF7/85S8jIvJned6h/VlnnRURBSr89a9/jYiIAw88MB577LGIKLggBPnb3/5Wb+w8J51CVQCFzjjjjOS5nmeXXXap95zloKOo6qCn995kk01ST1CpGOftt98+IorqztzSAwYMGBARESNHjsxqTaX3xBNPRETE119/HREFPzYuqg4akDXYtm3buPzyyyOiWOuDBg2KiIjnn39+ic8oKoStooomFI0iLC4ASWRgiDZ69Oi48sorI6LgAC1atIiISM4GWc8///yIKDgclG7fvn1eT/bF766//vqIiNh4440jokCyX/3qVxFRZF4cYsCAAcnNqNCyn+qgHK6Jl7799tsRUfCmfffdN9ZZZ52IKLKvn7JyWSXGKamJW2yxRSIa5VsFctJJJ9X72+OOOy4iIo499tiIiORNEPf555/PLOxn3759I6JAlNrYcMMNI6JQy1U8uNLEiRMT5VQsFNJ///vfEVGg4euvvx4RhQr75z//OSIWjTV1nupKaZ4yZUq9a+LL+B6lffz48RGxSJ3v2LFjRBRagP/305/+NCIKVBT0CvMxatSoiCjWyVFHHRUPPfRQRBRVg9eqHsy7Ck1FRAkeNWpUtG/fPiKK8V6wYEFEFHqM+7B+jSd9pLabYU1RxFUP5r2hqBC2iiqaUDSKsPpwsj6e16FDh4hYlDEOP/zwiCgUQ5mLGkzpk631Gw8++OD89+DBgyOiyOR48HXXXVfvPiiOkEX/C6fYZ599MlPhRF4LDcqBP0MeiiNlvGfPnvHOO+9ERMHTKYf6k/ihzKs/Spnu1q1bqqfUUeqk95f5N9tss4goVGPo5/XTp0+PmTNnRkTBJW+55ZaIiNQTauPRRx+NiIKLDRkyJCKKXuGMGTNi2WWXjYgCQVUMKit9Wn9D8e3Ro0dELNIB7rjjjogoqh3Pqe+rAlN96CroL1N4d9lll6y4VGsqGjy4HLfffntEFGioq0D7eP/99+Pbb7+tdz8qLxUArm+dnHbaaRFRjO2qq66a46KK0D1Q/Vx11VURUXDosvdAlTdz5swcW6+57777IiLyPhuKRj+wSLSLGGzCxcCBA7OUM+kGQrtE+eJDZWDc4DrrrJMfVAKQRWzClA0XXXTREq+pbNxmm23ydxaTsmjttdde4jMSgSQQpbQkMWbMmFwoxAML+09/+lNEFCWY3/uwSTDPPvtsnH322RFRlIDKKW0Ei1J5ZbFNnjw57yNiUXmoXPMh8cE98MADF3s+4o/nk+SeffbZiFg05pr1H374YUQUSVZbxPxo5xBVJO4DDzww6QuRTPKQ7GfMmBERRdvKv4kvxmqllVbK9znqqKMioiiF0ZdyHHLIIRFRlPmSgLbbCiusEDfddFM+b0Tkv82D+0VZ9t1334iIaNOmTUQsog4StDYewcjnZNNNN42I4gPtOaxPrbXVV1891xLjhHEhhhEUy1GVxFVU0YSiUYRVFspKUAp6HXzwwVkOMkwobfxeGQ11ZE1ZfezYsZmRCBIEDKYBJSYhY7311ouIAtGUaEOHDk2ELxsRkPzf/va39Z5RdvQ6GV8rZ9y4cWmigLoEE20mz65VI7NCvkcffTT/BuLXZtuIojUBCVEMCMzCd9BBB2WJajyUyNBZSyuimAe/I/qpiGbMmJFtKGU7FJb9URTtNJWF9stGG22U86wd4lrmUGmvOjBW7oso2aFDh6RPWkXGRHVWDlUISyi0ZBUcNGhQml6Uq+ydxlJbhTBkbqH2F198kWtW2YxeKJWJpu6/U6dOEREpoqlCrr/++lwP6667bkQUNlbUoaGoELaKKppQNIqwpHgcAWqx/40YMSJrfi0giIFzIeKazjiOlscKK6yQnEN2IY9rGRERZMndd9990c3/3+zn55ZbbpkbCHBkz6BNUw5I5po4BH743nvvxQ477BARBRrbfHDyySdHRGHV1JSHKgMHDsz3ME7MAAQcogNOY2wF5DJGo0ePzg0CWgC465Ka7hAa7zdWWg933nln3rfnatWqVUQUKEwU1Boh3ECjvfbaK9t3UEW7xGsYP+ggOPuNN94YEcXGj1mzZmWVZFOD9khDxxmpMNy/KoKJY9y4cdlmVC2xymoNChZJ44Zbt2zZMpEU//Za64BQZdwImP6/tbjqqqvms/gbXN/aMZ7lqBC2iiqaUDSKsDgELqtNAS1HjRqVNjbb0jS5KYtsdDIpBJbVv/rqq1SavQ8Z3N/KWHgOpGO+oML9+9//TkWbwiyTQdBysI+VLXX40pAhQ5KzQRgKOBT2WtY9PBkyPPjgg6ks4ko4FOTX7sLPyf4qBUh73333pYHFczMyfPHFF4s9n3aVzI2PUoJnz56dCK0agrC47HLLLRcRke0tajLEePvtt1N1ZQgpm+rZNG1coLgyLHivadOm5TrQprE1UqVTDlWK1pV5UEW8+eabqeCq0vBiarxOBE7rvXQm5s+fn3NgzfgcaD9a0ypCLTrVpnE9+uijs2uA6+PhKq+GokLYKqpoQvGTxo45veeee+oiiiwIcWWjAQMG5JankSNHRkSBflBJBpNRqK+U1BdffDGb+5rt6nomDJsAGPnV+9CQOrfXXnulknv33XdHRMFRKHRHH310vY3Bt912W11EwcHLrz/iiCOSd0IUHBt3VQEYS/dXu6VPc934lDdB4HB4qbFgldMLbteuXZpCqJYUTapt7ebnCRMm1EUUvW2Gdcrl73//+7wH84tvQxuVDlTCh1UaZ555ZlY2bKTUYNfEyfRGoRNeSKU/88wzs69NOXXv3q9///5LPITAffo7zzVz5szst1OldTrMB3Xb/bBFGvehQ4emocOz6W6wLNIsPLPKRbeAqeeJJ57IZ/QafVeVaKdOnaoN7FVU0dSjUYQdOHBgXUTRM5ON9D3nzp2b6GdrHF5Z3mxcywkjil7ZW2+9FWuuuWZEFDxN5sJdqHEyLY5IeWRNiyj4A85KUdVfvfXWW+tlriFDhtRFFD1H6HHZZZdFxCK1UH9YzwzC9e7dOyIK5Pfs+pV46MyZMzOTQiD8TM8OSuulQjfcBrqsueaaOebUW31qPd6+ffvmM7Zp06YuokA2nIzi/8MPPyS6ua5KgsNI/12PXUXkeVu0aJFzpTdODVZlQHZzRsnFuzmOTjrppFw70MYcqlL+8Ic/1JvD6667ri6i4MkqHJx2jTXWyE4HZMPLoSFF2hY9fXJ8eqONNkpk9VNHQXWE9+KlEJf24r6+++67RHIaEFWdyr777rtXCFtFFU09GlWJqY8QlvJKyXrrrbeSq8puMqe/kfWhkV4hjtC3b99USHlFIZisjO/xdf7jH/+IiAJx9XYvvvjifD89OTyPw6Uc0N3mYgqjDPjJJ58kr/WMzZs3j4iI4cOHR0ShBkM8aOk5rr/++nwGWdaRJTK4nrPtcHy6jiOh9p522mmJuubDpgPoWRtUUajpPvztiiuumPzOPamGaAR6xHiq5zLGBx54YPJHir8KBX+DOsZKL9cxKrXH3EAuCjnuzNtcDuq9Nabv6RkHDhyYPN84UHRtVtAl8N5llG/WrFkq+PQFCK5aocCrhlSR+Dp/8meffZbI7lqqSDy5oagQtooqmlA0ymHPO++8uogi6+s74oPLLLNM7vrADfQIqWscI7If5Y4Sudlmm2UWhlz6gRwsepZ+cqtwkkDopZZaKjkRnuH53HuPHj3qcQPPKAtSr3Gq1VdfPX2++m84MzSxVQx6UKp5W+vq6pIj1x5+VntNvFzloW+I+0KX119/PTM5tRpnxplatWqVzzhu3Li62uvoCdbuBnH/+D9kVa34PX6vosHz1l9//fydrYd6kPqrNtBDVM9drko23XTTREx8Es+D9Mcdd1y9OXzsscfqIgpFnaag5zts2LC8hnktH+RnTVtzlF9I2KJFi5wb1QBOrxLE11VA7ldPWjV3zjnnZOXD2UbbMG6tW7euOGwVVTT1aJTD6p3pWTmChLPjhBNOyMxAqcR/9DFlVCqcTb/6pFdffXX2BPlL7daRmai0OAGUgnCcUZ06dUo3DheQDcoNcQO8wjNRMf27T58+ee/GA2+HTK6BJ5UPmO7YsWP2Bqm/0IuqyiFGWfaelFtos+KKK6aKXnsESkTRh6w9jA2H551VgaiMxo4dmxxRVYKb4s8qH0hibvHSK6+8MvkznotHQi7VhjnzXNYPzePxxx9Pnk2Vp6ByR5VD9UTVNi56/3V1dTl3qhLrD9JZH7oddAFjse222+YGdKqwbolq0TjxJFCHjYF1vvPOOyfSm2f3YS5VZOVotCR++umn6yKKEtRCIZx07tw5t60p03xATQDrnQ8Qos58sf322+cDG2iLWoujnDCUGkQS29vuv//+NFtoYyhxmPx79uxZr9RQMhIKDKqSbdttt83JUwqbKCUYg7jWgUVrkT700EM5QeUTIC0Cz65VooS1CC3sAQMG5Ph4P0Kfcve8887LZ3zhhRfqIootYeZQiTpu3Li08EmYBC+LmK2SQcV6ePXVVyNikcGl/CEnLqJKkprFrLy2bRCdmDNnToqLFry15Rrt2rWrN4dTpkypiyjKW1v5bD+89dZb88Nk7NCWsilGCYzS2Z646aabJm0x3pIsgcrat4YkR+ubsPTCCy9k6StxmWfiYtXWqaKK/wei0ZLYJlvZUJko43344YdZQpTPTNIqUBYyCJTP0hk7dmxmKmisUe8nAUb2FsoJJokBAwZka4jV0CYEaF0+ekP5pRTxb1m6ffv2iRbKPvcuk3p/4hd0J2AtXLgwBQtZ2uZq90fo8f+NhRIfEu266655fe01rShCVm3Yxmg8lMbKtK233jrLRfMtIIRxZ2yB9qjBGmuskegGbYhI0Bp6qyyYNQiO2irffvttlv8qGxsVrKnyOlAdEd2sSe/RvHnzxTbuE7aIPgQhrULtHtXkVVddlVWSlpCKy7lmKg7mB61E68bYvPvuu2nccK+ODlL5NBQVwlZRRROKRhFW9scZR4wYERGFqWCfffbJLKypjA/htoQDiIJLyn6ff/75YseXsL7ZdCxTeX/bu2Qy8voqq6yS6EOAId8zKJQD4uOWWliyZp8+fXIcoBweZiuZBr0qg7HDtefMmZNIyQCO5zJfQFYbzFUE0MXv582bl6KbcVLxGOva8P9wTO0hnHHcuHFp+bPJw0/jbuucw9dwNRxxzz33zHGHcqofbT6iJNGJjc/zuZ8PPvgg+Tux0dg1dPKlisf9QUKiYMeOHRNBoSKNwlqmQ6gIaDu45p577pnfCkEoZKgpayrMFjirSgx/btu2bX4+6AEQ3TnVDUWFsFVU0YSiUYSlsMq4srPWx8EHH5zHZeAiOKDMwZBApSOrs/ltsMEGeTQpBdP7alDjW7bdMV888MADeY2IRQ1rPAtCytK4NAVSyHTaKSx1VOxLL700ubtM7hR/KKKNI3tDddeeOXNmPptxog7aWK4ioMTi4hAYT+7Ro0ciu3nR1sCZ/YwolEwqtGxPDZ04cWLOFQ6uQmBg8U1ugtKPQy9YsCD/prwh2/x7fmYXiEaF9fMnP/lJtvPw7fJaKodjdyG+ik1b57jjjktNQHWmemCztMZ0MxzIwDL6k5/8JPUPx/UwaNjW6JmtD4YbbSmfgebNm+d1zQtubX1Yt+WoELaKKppQ/Kjv1qEK6hXpP6688sqJOjZes2dpckNS2YgVTUYdP358ZjUGfIhFDYQ+sh4+Bull1NNOOy15Bm7imu5TQ19QSN0fKyU+9Omnn2bWU03gLng5hMPL9PCYSFq0aJG8V58VKuBKUFPf0n0yhUC1FVdcMQ0ktioaS+NYG8YSz6dk4oXff/99oqO58lzu2fNDGGYM1Uy/fv2SN+preh8VC7XVNXBKdlPGkv322y8VVJ2FsiZQDgiHb9JCGBzatm2bCjitQhXkGxdUadY4Fdl73n333cldzZl5UCXxA9BBrC3aC/7evHnzVIONoYpK1dZQVAhbRRVNKBp1Ol111VV1EQVaceVQLJ988snkSzInpGC2dowK2xsuwS208cYbJ5/R3+L2cC0OF44bCMutwtY1Y8aM7KPp68lY+m2DBw+u5yAZO3ZsXURhoMc/IMazzz6bnFkP0WFanoVqKwNTRt3X/Pnz83e4Ky6t12gc8S7GddzbWDz11FPJ6fSO9fCg8dVXX53PaA71kh1CoCrYfvvtExVVUra1mVPIYIxUCcZl5MiR2WdVDek5QjlzCuFUYlRZKLTZZpulKq/asO7M4WWXXVZvDh944IG6iKJKop5DujfeeCPXAWRXPeKd1HRoTgmnyfTo0SOfl4PNM6i4oKRrWoMqltojdXQ4qOr+H0572GGHVU6nKqpo6tEoh6Uw4koUXhnvk08+yX4WF4rsRmWV0WU//IQqdvHFFy/m88TFOHccEaJXBY3wZgpkr169kr/I0hDqfzo+0vY/aqHe6g477JDPRuFkfoeauJ4v0lJVQKhjjz02fbmqAwjHUG/cmNI5nzw7dBs5cuRibhgIqIqpDT1CVYx+qOx/zz335H3bdEGd9Z48yv6Gw0kvfd68eclR/S3ktE0NH7VVj9ecEi0mTZqUfnCbEiD/kr6dL6LQFhjmrQ+cfMaMGamocxbhrhxaqiFKf9nQ/+mnn+ZaMr8+F74Ui3ahajKnxh7X/tWvfpVjB32tedVSQ1EhbBVVNKFoFGFlBAobxFP/L7300rlNS+1PqaMkyj44BD6Mf/7nP/9ZzM1DYS4fCVPOQn5PxZw0aVIqprIaVCx/JYNQCXAxuW8ulRNPPDEzN17DF+zZ8E69XH1l6LnJJpsk7y17SB0RgrPiwf6NU6tIzjrrrOw/y/7U6PIXfUUUvWxjiddRJ3v27Jm7oPBO/XbX9ZzmnTqvaunVq1f2M6G0Sse4U/ghrsoLl1PhfPfdd9krxRlVO7hzOfA+/FQVwYt+9NFHJ8Jar96XZ1xFpu+tAnCtO++8Mzfpq5KMpX/rVlCHbfDHU1UOm2yySV6XQwwf1s1YkmstokLYKqpoUtEowlIWcQjeTFypZcuWyW9kOT5KiMC1Aimgji9JOvvss9PnyxGC75X7s3qk1NHy0S3du3dPpNRnK3OncrhvvTReaJlvnXXWyR4hbgTZqddcK+VDuPCz2g3lEN8OjvKXKBsv4whp9QlbtmyZHIoziS9Zpq8NHBjv5XDiVX7zzTeTk0I0FQsUhs5lno8fn3vuubnDhtoLpe3Zdeia/qZ1w39rnn744YfsGYvafu+SwnjzteuhG6cHH3ww+9rWLj6Ms/ppDXpPz3rEEUfk9VRlVHlqtsqDiq8i4432nnvssUd2UXyVCWTXRVAZlaNC2CqqaELRKMLinbISjqbf9Nxzz6WvUv8TYlF0cQOOFkojp81zzz2XXAmHoqBCXjtcqMH+v/tR70+YMCGdVHi3DEaNK/M8CitvKXUQep1xxhnZb8UzvAckoBpDMTydy+jKK6/MCoO/GFdVxUBrfcqylxi6bb755sldqdfuHSqoDiIKLm48brnllnwu96Giof7TISAH9IeSqhgVzqhRo5K384HrCuCqDho3DlDRNSjSvXv3TnVY79mcQWE8WPAYq3AgHW/xfffdl1zVmi7vOKJTUJaNk/E//fTT82/oDvi58XAssLl1ioXqCIr37t07x0VXQC//f+pmNPqBNUFlWxthZurUqblYCEV+Kgtsp0O4CQFsh6+++mp+6Bnc2cG0GzyoQTdByjqiyWOPPZZiAiufD2xD3w+rDWEBWbTOnho/fnwasbVpLBgTorw3+BKLjfdz587NNgehQnmnRCbCsSxKJJKZErJz586ZEHxw2emW1NaxRVEiIsop9ebNm5fzLEFKhBKOsShTAELOgw8+mO8tMWvzKI3ds5JZwtYCQaGeeOKJpEA+5EpR818Ov7fxAA3QGvvmm28yuUn+ArBIONaa8tUzzpgxI8VOmyFQBWvahx0VMreenbnkoosuyuvajGFMreUlCYgRVUlcRRVNKn7Uyf/QUvZR9hx66KGZ3SAtVNQK0F6BmsoI5Pqzzz7LDAUF2duU08QU5RTrV/kb2c8///xELhI70aahIDYxiRCBIMUOO+yQopGsx85Jvlc6KiWJN9Bl4sSJeT3lvGeDXtAYarMHEkGIFMOGDUvRjUXO/Ghr1Ia5UtGYH6Jc8+bNs8RDLWR/4pp5V1kxKqgWNtlkk6xCILdS0oYI6KSs9O/yAWa33357VgHQjyWRIFcOlUb55EZW0ptuuinLfnOlEmOHdQyS8VbZQN5x48Zl21EYbyf/exbH8ljryv3a77FVFaE6PgMoU0NRIWwVVTShaNT8P2zYsLqIAikcOymbdunSJbcUke+ZvDWocVpckvjBFL7VVlulaMOaCJVxKdckKqj7CQNMCccee+xix9lAWJzkz3/+cz1T9aRJk+oiimxePvBt2rRp2c7yrAQVWRvSsCi6BuFqueWWy9fg1hrzJH8n5jMn4OcqF4h71llnJTpAOq0aZoVTTz01n/GSSy6pq32tTRdQtU2bNlklQTKtN8/n+XFzhhpcrkWLFjmfXqNiwRkhLxRSnZhTouWUKVPScE88cjSMY2T69OlTbw5POeWUuohijplTjO28efOynUT0VAEwdJhbfFNrCMfu3r17PgvTC12CsKfSsz7xemuQjjB37tzkqt5X65CGcvbZZ1fm/yqqaOrRKMI+9NBDdRGF+klxFK+88krW6xQ5IVNRPWUbdbyM8uyzzyaPINuT3qmW+B+0ltFwCNx22223zf/2Wuirqd6tW7d6mat///51EYWlzrWpio899lgiJd5JUWbkoE5CT5UI7te9e/e0dVKYKYkUWsZxfIfVj6mBkeLaa69NA4exh6zU86FDhy62va7cstFOOuSQQ5LXMqsbV3PFIIArGgddg8022yy5KpON7YmUU+OpKnKEj3GoPbrHmsEjVTTm9vTTT683h3feeWddRIHqKgOo3alTp1TZ2RxVbcaQYUbLjj5gLK6//vpcl9ajzQAOIPRZwkfpI6ora3CttdbKZ8N/mX+838knn1whbBVVNPVoFGGrqKKK/11RIWwVVTShaLQPO2iC4Q0AACAASURBVGjQoHoKI5VM/X3NNdckn2JJ1KvT18KvyiZ7zpYFCxYkZ/FaVi7XwhlZ7iiROIS+28yZM7O/hRs6lK3mG8fqcYPbbrutrvZ+9HxZGffaa69UbPUHqYPUTL1byq8tUq7ZrFmz5Ic4ntfg2ML740n4mD7l119/nXoAtxCF2zjWqqiXX355PRUch2aF69atW6r+7oUjh5KrN0ilZZu0RWz+/PnZV9Xf1WfHBZnZaRfmEC80x998802uL/Nt7VBbu3btWm8OhwwZUhdRzIPX6ytPnTo1+aNxsMY8C25PtWZDxSn33Xff3PRubbtnegnfAn5MmdZb198eMWJErlNf9GbLpPV69NFHVxy2iiqaejSKsEJ20kOVdTp06JCqJvcRxZQfVLaEMHq6FOeZM2fmV0HoJ8oyNgDLVOUvdtIvpPzdddddi33lhSwIYcvh9zJeOcNedNFFuTVLTxRacMXw2FKTywdM//GPf0wkoaz6fxAImnidjQR60dxMW2655WJfXUlJtu2rNlxXNUAFp8jvtddeixn39YS9t3mBqPzXPOB33nlnVk7M/HrrEMS64LuGtNRZ1VK/fv3SO6wHSoFekpMronCgUaSht6+9mDhxYvb2HT4ALT2jsdTjVoGodKZOnZrHunAwqXQgpz62OdTz5dzTz37zzTdTtdZf1/fXeWgoKoStooomFI0iLA4p40EHPuENNtgge116j7I9jyzOBjU5S7hQevXqlRnIazmeZHLZG1flcYVO3nObbbbJ41pkLFmtdstZbdgkb4sUvyqUufnmm3PniUoDOsi0XFzeGz+qRWsOH/cBQekCfLCQF9fCYbmR3njjjXRxGR8oZpdKbfiaEciKj9o99eqrr+b46q/yfXP0mBeB3+PDLVu2zLngcMPF9UbNg7kyZrzfUGrffffNnrTerbHTDy6HyotmwHHm0IKOHTsmp/a+5SNiVXHG0n1zhLVu3To5qp1U5oEeofKqdZFFFIfCe65NN900HXm8xCpPve+GokLYKqpoQtEowvLEytL2g+IbvXr1SkcTT6RszFuMK+GZMio+Mnfu3ERwf0NppPrhJviGvaMQgcK2wgorJKeGEjYK26BcDi4fG5kdWeLrSF544YXkjDgV5HHMqaqBo0UFAB0/++yzzOj4t2fyN34PAaAJZZpGcMghh6QeQDnGA6FEbfC1Qj5fKMaVdeyxx6brCIL4gmi7jjh5zDX9gUq9/vrrpypPE+DMwsk8H3TCZfF93PGmm25KLq4KsB7w43K1pPLituPp9V5TpkxJJ5tdXKrH8v5k2oXOgDX2ySef5HyrsMyNv+FOs3/c66nwnueTTz5J55mx5jxzzw1FhbBVVNGEolGElcHtB5U5qGX33ntvZixZl1cUCsj+0NIufEpa586dMzMJmR5yUhztb3SMBs4m482YMSO5iqMlKZw4QjlkOhnX/fr3GmussVhP2b07OkXfzX35idc/8sgjyfvxHJWAfa6uzcvqbx034u8jCpTw1SWUTIp8bagO9FDNKa6++uqr5/gNGjQoIgqea9eLPqPdM7gzXvzFF1+kGm+Xi94j9HFNOgAU5LdWgY0ZMyYR1H5nY2Ruy2HsVFWqOpXhhRdemLxblUbht3sJt1YpqJr4gr/88sscM5UTrQVnVr1QqVWRtAy8eMyYMTnPwuke5rKhaPQDS+hg/jdgIP6ZZ55JaZtow+RuM7oPgMVtkXnd2LFjc/IILha8ksyElbd/OX6GQPP3v/89y1WlpQWq1FDWC3/r75wnZLL33XffLI+ICcwiyj4LWdmp3LVZferUqSk8KAGNA0O9D4VnNoG2YUlezz33XCYfH2aJjJBRG8pIHy4CGnHjxRdfzORqE4YPt3mxFc0i1/6RaK+55pp8DuVz7XlPEcX33kpEzpSywcOYde7cOT/ETA1KXb83RwJ1k3AAS+0RNt6fGKlFaTxsnLDWzZ1nfeqpp/LDy7AviXqtNUZsKp91LLEcdthhucYBipId9SmfHCmqkriKKppQNGr+32ijjeptr5PRZcnf/OY3mf2UHEo+EjY7GfSEVsq6p556KoUeZaISlFDknFxlllJYRtMUHz58eAoQNlfL/MSnbbfdtp7l68QTT6yLKJrssiixZp111sm2BzMGdGLhU34zJ8jKSqQPPvgg78szaINoi5XtmNDOMxqjZZddNl+r5HIfSsI999wzn3HPPfesiyi2s3k+77P55punQUW5Svwzh9olTAfGn8g1bty4RARClO+FVeE4AZHI5/2VnsrKddZZJ6sjaK2SgmTlQwgOP/zwutox1ZqB7nPnzk1RS1mq9FUBqgiIcSob1dMVV1yRKOxvbMpnuvH50MLSulM9Wfvt27fPuTPWtd8dGxFx3nnnVdbEKqpo6tEoh8UzZT9HdWhRzJo1KzkBsUFd79+a1+VvEYAs//3vf9M0gCNpEUEqyEaMIvtrs8j4xJ+Igr/gDw0dcyqL4zjliuGGG25IfsXOpm1DUIEqWjGQCQ9t1qxZvpYNE2o5SxgCsayR+5kHtEvWX3/9zM7lDf/eozaIfPQI3E3T/4MPPkiuyD6IixP7oJIxUQkRcPbaa68UqIhc0Eh1wqrqOfFf1Rsuedddd+W3wnk+7REGhXI4GoZwRdBRqf3+979P1CXMadvRYNyPZ9O69PuuXbumGAbp6RI2g1iH5s4cqyag/PTp03PN2HQAjZc0h7VRIWwVVTShaBRhtTyYvPER6PXll19mFlanQ0VKGS4jZHxWxTXWWCOvj99Qof2bAg0NGeFlVE34888/P7e4yZz4rWxXbrrLdFoV0FTrapVVVlnMXO5ZHapVu40roqhI8PSddtop2wa+g4bUD01UC7YyQkTPiOsccMABiUpQA9KVD8mOKFRx9k/jwDp6zTXX5IHdkNW8m0PoZ3OD91NNtW7dOnmcazAk4O44It6Lz7kvqvx3332XiKpVyDjR0HenahmqVoytquq5557LdUoR15KBkroYfk+Vd4RNv379khObS+NNNcZprUf3Qfk39g8++GCq9sbaZ8sGk4aiQtgqqmhC0SjCyhCUZP0+zea99947MxLUVa9DiPL3xlJYXevmm2/OvmaZg+B77G04pPuSFXG4888/P3+Hv9iwgB+Xw6Zt94ev4aNDhw5NfgGNKYeytkoAets4oO+27rrrJjowxTO0e0Y8nRqMQ1GrKeXdu3dP5d396EvrT0LAiKIRj9/jlNBymWWWScuh92B+oWFQba2D2v5mxKJxhzqUapzV3Aj3YX4gsYqmT58+OVeeE+9WjZQD0tuqBq30Nu+6665EcHy9/G3zxtkaNG563u3bt8850YHQS4e81oyNLToCtB9GkNtuuy3VaGtZ6IE3FBXCVlFFE4of5XSCkscee2xEFJt7e/funWog6xkOSwV2NCXVGNdhnJ4/f35mRlkQysmckIsiDVG8zuaBMWPGJL/TD4Y6+m7lwBkopO7LM77//vvZX/P/cGpoCR0cVUnpk5179+6diMotRWmEMDisXicua2O1bVhLLbVUorGfEJ5aWRt6q/6fzeB44VtvvZWoApn0laEwV46xtR70yV966aXFVG9jw0lmfVhT0AciWxc77bRTclLb9xwQQNnWBxU2Fugi0ERsnezWrVtWUJR7z1z+xnj6CAS0jk8//fTFjsKlYvMlqAhUD56ZxmFO586dm8o23YO6rjJpaLNKhbBVVNGEolGElWUoZrK0bPXqq69mn5UXV79VZscFoCW/J144e/bsVCP1aClzeqgQTOjD8s5CmkceeSSRVT+VSgzFy4E/4yMM3jjN5MmTc4O098X5eImpxlRN9+O52rZtm2otRwu1FP9xH4zjtAGVSe337eLy+LptWyqg2tC/Nd6yvw0dL730Us4d5HJPUFIvWCVj3HHotddeO+dKheWerCFzyg+M15kXCNOuXbv0Buv7qmwozuXASz0rbUFldPvtt6fTTh/YhgcVomdRtakAVElnn312eoMp21CZH5oDzfZPiKz6UNXcdNNNqRNAcB2Qhp5RVAhbRRVNKBpFWBkcoshg+oy1W7NkTAd6UXplVllHPc97+sknn6QzCH/TI6TK4X24FKVT1oQsI0eOzCzGG4xvQnY8TOilUqLLu3lOOumkVENd0zUo0FBZhvV7CuDmm2+eSqc+NG7taFLVhTHGcTmfVC4PP/xw9g4pyjzLMnlt6IvaaWVs8cQffvghKwOuHmiJV0IS/MqXDzsiZ+edd861QhPgXsPRcHCqMS6rEtLD/Pzzz5PXu0fqa0Nfcgwl6RAQ0FheeOGFWbGYZ/cJhaG6MaCYm8s77rgjjwAqu+Z4sVUk7kPl5dl5nY855picf3rM//Q1k6JC2CqqaELRKMLKjjIVVUyWvvLKK1Ohs+tCrw4XuO222yKiyFz+PzfI5ptvnplaRoIc+CjkxWU5S/QD8b7//ve/ib72FVLwZPByQE88iFJK8dtqq62Si+LyOByOAqUhks3c+PMKK6yQiOL5cXv/1mPkXpK17Um1e+fpp5/OeaGKGmM+WEjovSOKQ8HxO8rrSy+9lIgAWSmoUF3Vgk/jnaqXRx99NKsd/ViVAyRTBeGQqhJzXnugnF6kfrefeH45VAAQDH/GE1deeeV0iqkOVWvWHl8A55GKAfJ+/PHHqew6vlQFWD6yx3FD+DpVXc997bXXTg3BfJtflWpD0egHlrRc/m5XJcuDDz6YgoCyxIZcJRGBSkuG+dpCatmyZZZ/LFy2i/kblkBbxMjjPoQa2aeddlpudtd8NxAGphwmCNnXOtBiWnnllfPDJSmVN4X7IBOGTKhkccopp2SC8gFV3jESSDoWNnFKG8I4Tp8+fbEN/z6oyrfaIJQoxVkjWTcHDx6c/09p7QPCPkpAtG3MWFp033//fT2jfUSRvJgvbNwnshD1LGKC5t57752J2t+K2kRUGzajMOWYOx+UpZdeOtt05s58E7bYSGsPZ4goTChrr7120hPP6Jrl1pT1ySxjsz6B9uOPP85S2Hh4VomjoahK4iqqaELRKMIqObUglEjKmOnTpydCyM6OcWHCV4rIpModgkKrVq2y/NA2sXmYUAQFZTgmA+0Wdsh33nkns51WBDtYQ4KFslLVoOlOpNloo41S9LA9CtLI0t7LNSAtBGrXrl3eo/KacdyzQrPyiX/GXHvhoosuylIcNfAM7tP4RBQ2SUKMMt29RhSiotaKykHpDQVUL9pW7m3nnXfO51ASQ1BCHFFFewkaqsxUL2PGjElkYmJQ8jaEPloiBE6imG2aO+ywQ4pdUM6zeXahWkNzVGjLL798mkKMr/FSVjOamGPGD2sdhdhhhx2yXPe5YDAqn29Wjgphq6iiCUWjR8Tce++9dREF/5HZcbOzzjorWwm4kiyDG/g3EUqGg54ff/xxcg2ZUnaWjSEwscM1WABtRhg1alReV8hqpPjnn3++3tEbgwcProsoqgaZnygxePDgFDG0sLQCVASQlvHAmBJe5s+fn1VC2bLnJ/7DOI6D41R48n333ZdbFn1LmzkwPrXf3j1+/Pi6iAIpZH82yuWWW26xs3hxVFWSVh2uyGbJEnnXXXclb/PsqhHc1b1ZD1pJ5s4aGDNmTPJ5QqA5wZN32223enM4fPjwuojieBWv09IaNmxYim5QmICpVYP3Wrfae+6vY8eOqdeo4oyLa9jEb6O96lLFoBK75ppr8t6sea+hQ1x22WXVETFVVNHU40dtr5OVqJKOKGnVqlXK0NBF9sF3oKVMS42jki2//PJpjaOmaXI7coM8LjtrkUAlqHrZZZelgkfit31Oy6IcOCMjhxaHjLf++usnTy+fos9uictAYG0obYD+/fvnPbMVys7UY4hOkYY4xhqPvOWWW1Lp1G6DVuaJsSKiQB2qMC7s+rfeemsiEoVfK8O91B6TElHMCzR94oknsqPgHvB3phjo4z48l/tRvf3mN7/Ja+CuNtAbg3Lg44wt7ot19Nxzz80NDRCNZdK6xLHNtbVoM/2CBQuya8HsodLTxvGTCcZngn5g/b7++us5dzizFpHNHg1FhbBVVNGE4kcdEVPuz1G2hg8fnlmHFVFDHvLKvEzhGuc4ZceOHZODQUGqG3RgBaScOqqTkicrvvnmm6mc2k6nR0lxpMYKzwJhZTxZdJ111kkObzzwP88qC+NB1Gzbuw444IBUx1Ugtgx6VlY1fAhKQxVKcM+ePfM+cGTK/JK+oc+Y6uMyMrjG559/nrwJMuG0ntsxoxRgVRKV+Morr0zOypiBf5oj6jtNAbIyMqiS9txzz3yNNUMfWdI3G0QU/gAVAuUZFx82bFhqBXQR9+VZHMJHr2BkwXVXW221XKdMH9Yn4wTDj3FRodpMoTJ79NFH02ugWtLFaOhbFkWFsFVU0YSiUZV4ypQpdRHF9iGcAtIOGjQosweLH+VQxsJlZV6WO/8eN25c1v7l4zNxV7wDKuAf+oVQ/q233sq+H07ERqgX1qVLl3rq25133lkXUdjYZGI96JYtW6bTimKo/4ujQiC8VL8Omj/xxBP5Go4WvBd/h+g4OL2Auq5f2Lx58+whQm3c2Vx27tw5n/GBBx6oiyi4pGoFah111FFZQamKXM89qRygPn6HB//2t79NPo+bUZzxShWPdWK89VZVOD//+c+T17OZQnr8bsSIEfXmsE+fPnURhVoPNc3Duuuum8q+cbAZhd1Sz7a28osougdz587NtcHMbx6scXqJPi0EVrXRMVZdddWcK4o/vg29a5X+2qgQtooqmlA0ymFxMfW1nqD+XO3/4wPG62QhW+P0pspZ+uWXX05ei8fIulAaAlADZV78B5q2b98+TeQ2KlBf8c5yyJIUPAhN5bzkkkvSJQMdoCCUKB8/QuWEoqecckpmUO/nvjyTf0Nx/IeqzAn09ddfJ2eXnfUMcenagDKqF/1dPthevXrl+Hpv387m3vA9qAkp9GOHDRuWfBq6QWU/9awZ5Cnbjqzxujlz5qRryv/DJymp5eDdpvhDLz3ViRMnJp/13HqqOL5eP0caNLceeLAjii2CPh/UYhWoLXyqirJDa7nllsuqkBJvnlRiDUWFsFVU0YSiUYSlqNlNQ4Gl0m699dbJN/g38V3KpYxO4St/peSZZ56ZmQn6eB8qocxPfXMt/Ahn6Nq1a/JG16TCQYXy4VaQVIVAvcQPx40bl0hK6fSTKmnXkH4hhFAJjBgxIrmojG0HDPXX7ibZGz+GbrL4Oeeck3wcH+VDpTTXfh2jHivezVsNfSZNmpQVk6oIz8PNVEXm2q4pyHzOOefkfKt6cEZcEfLSBmwQxx2N6bx585I32jbId+25y2H+VVXlw+vPPvvs1DKsKX16irSDFawxHFbV980338S1114bEUVVaV2qLqwZ1Qzftq2eUH6rrbZarApwRJFvgm8oKoStooomFI0irDobl5HBZOsrrrgid7XYXCzbyag4gX4jryyHyezZszOTUxhxRcjl3xDYhmqZDQJcf/312av1frgSf2o5qNUyHiSWFdu2bZt7VMtfLKUS4BmFhpBW361Pnz7JwzwrNxd1FVqpVKiVqgkK6F//+tescLwvVFZVLCmgFS8z5Lj66qsX62dDH1WH3qQx9Pz41913352KvbWBI/obKjeEp/RzBanE6urqcg3ZfeTwt7JPXNAH+IX1YaHpDz/8kMjlPlR4tBW8XWWDLxvrDTbYIOeVg4k3WJWGh/rqE1URDsvl1bdv31wPOCufNq+3sS9HhbBVVNGE4kfth6V2qeFlx9122y17TJwtfKgQQsaiMLomRHnvvfcyY9lRQmWDwrK0a0FD2VlPsWXLlukBdmwlFNRT5MgRsiZvMwXYvXz77bfJ2ajkOKrMLlvq10J3+yGnTJmSz4Sf2b0CyamUOA0HFucTDtamTZtUo/Eu4+G+KOURhXMGskAdf9utW7fsH9vnS/2FuO5Jj10nwLWnTJmS48YzrCqydxayQ0+8GZpbD8OGDctKTvXjFBBzWA6VjOqNd9fYPfXUU/mMKhVzg/8bf/dLcedimj9/fiK33WrmUgVA1bam6CflLzdv1apVdjZ4nHkb+Boaih9l/keyCQRIfffu3VP4YHnz4EoNpTLCrXTyECNHjkyhiEChbCRQsfhZ3IQa0ruJefTRR7OUKH8Pq3KkHFoiTANKVfa86dOn54fForKwtaO0FXzILXCLoUuXLjnxkpNSyOEAFpT2R/mb7E3kyJEjs4yWBJS7Piy1oVwj3JhL73P55Zdn+8yCM/4MK563fA1l7JprrpmClGRCcPMhUnZrgbFcEjT9/PjjjzMhuBagaMgYT1hj93O/nmPTTTfN8lRbxzWVr3vvvXdEFOYH80JwfOWVVxZLjJKgeUfZlO5KemtJa3Hu3LkpuvnAMlnUfi/SkqIqiauooglFowiLeJOn2bhqv/nMxmWNZZlW+wL6EKGIVISMjz76KAm/10JSGZOQ4ZreHzJD/i+++CKzn/LZNi5CSTmgN5M3tFGOvffee2nBUyqy7snOjmHx04Zr6PjKK69kOaWMsjUQ0rpPbSdGcqUZg/6AAQPyeYlutgQqO2sDCkI4ZZoWxIYbbphby5yAid4oiaGOn8QdSFZrDFEpoAneD20xRioGZgdUqU+fPlmWQmHb+lQ45VAql0/tJzQ1b948q0JoXD4dkWVW1US8VLV8+eWXucnAnBlvpa77UM1p1blvBw4MHDgwq1d0TytONdfQCZEVwlZRRROKRhEWWhIK1OYQ5tRTT02+Vj6rly1PS0S2xs20WxYsWJDGb6jm39APP4bOMhmOI2688cbkyBCWgAGVysF8IWsyANR+AwAzBeTUPoG8TBCqDRWBKuKll15KgYY1z08o7RnxUWNANJNx27Rpk9VK+chQbbHacEYyxMBTIUrXrl2zHeE9iCZQk+imAiLc4GQHHHBAIqk2nmswBLg24Q7SlTfdn3766XmP2iZEtIZac1ph1hb0VjF07NhxsSNJrVcaB4GT6YEllHg6derUbB+qALXVzKUqAQ8lZPo9MfKMM85IURQaW8vl75EqR4WwVVTRhKLR7XVXXXVVXUSh+MoU1MN+/fplna7Fgn9AOPK+sGUOcjz88MOJvtpHuGr5O10gHIQvmyLmzJmTf8NWyexQs2G53rYlzwiJZUuy/2uvvZbI4n0peq4NJSiguL/s+fbbb+fvVA24rHHCnZgR8HQo7b022GCDzM5USvdnq17tM15wwQV1EQVnVgH5+dFHH2W7Bkel/ENsTX3vY7yhdrNmzfJ67pMKCjmtA1ydosqS6O+effbZ5MbeX8sIGh5wwAH15vDZZ5+tiygqIfdnzPfdd99s9eDYjPvmmT5jfqjGkPbQQw9N2yLOTy1n8KFZ4Mc0D8js9yuttFKuR9qEa1m3hx12WLW9rooqmno0irBVVFHF/66oELaKKppQNKoSDxs2rC6iqMFxJ2rx6quvnlwLv2A1o6CWv9bBcTA4TMuWLZOLscsJB6d5Xw4Y3ADfwD/32GOPdP/oUeK9+Hf37t3rcYPDDz+8zt9GFMeb2mrWpUuX7FnieI55wWkpfNRU780Bc+mll6azSB/SN8SxtVFNubiMG0eOPvesWbNSFbYJAn90hMnxxx+fz3jllVfW47DUUX3pXXfdNfuJ+q/cPZ4b36bCUpi5wlZbbbU0+1NZ8WljQbl1DaqsPixd4PXXX8+/Nd5601TXvn371pvDCRMm1EUUhnk9bBz2scceS2XXfZpneok55QxjudVz/vrrr9N2Sydxz/QHtk/dFSq3a1D3zzvvvBxrvJZORAc5/PDDKw5bRRVNPRpFWGjJfC2zcG5suumm6UbSd639DsyIIsNSC/XYHM3x8MMPZy8XKuulUqNdQ6bVI6Ue6vW98sormRllWyjX0OZnTiC9RX1R7qGFCxemUZ3XWa+Ms4Y/2DV4oKmWX375ZSKc/0edLH8frIyvmtADp7Iefvjh2RukfOrxqi4gTESB1MZblnfvs2fPzjGCrK4HFTl0+Gv1VI3Dd999lyhv3Kir7lF/2XNCEojM0TV58uR8DmMEFaFyOZj/XQPiuf/11lsvx9WmC50HFY25rXVcRRTzs99++2UV5KsxqeTWqbnVCdHT1/vVp2/VqtVi7iyKeEPPKCqEraKKJhSNIiyE0AuUOdTyyy67bPIcGZaHFO9Vq+Ojen741jXXXJNOGz05Nb9s59gZbhruKZkVL6s9/gWfkEFdqxzui+PJ1ikZeOONN87qQSWAh+PHsiSurbdqh07btm2zejB2end4O0R1zfIXHePUY8eOTc5vXuwGkcFrw3hDVhxSP/Ldd9/NPjJ3Ek2AzxYnw5nxLjFhwoScG240Pl49XBqBDdo4m+d3SMItt9yS/XUbvx3Q5vfGSOhh0lNoC7VbOcvH29Bc7EByH7g9Lmuu11133dzRZf1xetk6imNbz/q1evtQe/jw4fks1rr78rlpKCqEraKKJhSNIix0xDvwQDzxpJNOSu8o7mcPqMOt8Bz7EaGPDDZu3LjkqPZQ4hscN64hW0NUaIjzdO3aNfmE95cNG/qiXGqt+/NTfxrHiij2AduobiO/8TAWfMCqjfnz5+eRJBATGuBOXFHGgKos8zpa5W9/+1siLC3BvktcujYo6caF4guxr7jiitQoIJfdWbiXuTrrrLMionDn8H4feOCBqW9w8HhOfl5aBw5p7Dh78MFTTjkl70fVRiFvaD+sY3RUQPzKtJCWLVvGOeecExHFHOpaeA2vMV0EakP+r7/+Ou/DmlKZcO1Zj54d0npWf9epU6ccF3qMfcOU54aiQtgqqmhC8aOOOaWOqeedDjB+/PjMxnYi6JFSyPx/KEQt9vs//vGPqWBSFqEBb2btsZ0RRaaCwLLmP/7xj1Q8IZXsaz9mOfAyaqBnc4pF3759E3VlXUiGo+BM+LwjPnlvjzjiiFTcZVJ9QN5hiqa/hS44L244b968RDrZWC8Xh6pVl/xIiAAAIABJREFUiVUIeC49wN7O3/3ud/ll0cZM/7N8cBkksS5UNscee2xWCCoD6jAFXzXgeR2HquLClz/66KO8R1WSr7eE9OUwtzi958Cr+/Xrl+sR0uOqxlBXo9xzpuOst956ix2Obn1aBypFu6jcL3W9drebZ+Jhth5oDmVPgmj0AwvKTRQYV9ZMnDhxsc3CvsVOSekD42aVPh52xx13zIkX2gpKyrLYoMVhQmyAv//++7NZbcubREGgKodkYAuXa/kQdOrUKY3gJHflqRJduaW8VRorkfr165flI2FIklGaWkjlY1m8zofxvffeS9OJ0xKVZoSt2rAQLQDGDWX7zTffnB8uH9yykd860LLRMtOaGTduXNIU9y0hmDMfVJSJ6KZF5fWXX355/o5waB0o/dELIRl5tvIZXOeee26Kep4FcJhD19B2tDlAwlljjTVy0zmjiTk1TuZbwkO3rCmJ/cgjj8wDDYyb9/O5cB/lqEriKqpoQtEowipVfS8o1FGyPPPMM1lqaFYrm22VU2rahqcUIWjsvffeiaBKLQ1zcrmMBrVtNrc5m0jx7LPPJtqV2yhQshzuk0Qv89lQfvTRR2fpzRjBOqc1wHzhOJHyESLLLrtslvuqB2YEz64UUl6hFgQuJWPr1q0z60NWrYklbX4mBjlj2jyZt1122SVbPsQkY6edZb7NLeRzgNjFF1+cyOU+CTSQnE0QJYD8jlch/owYMSIrOmW0ygV9KYcDA7SqlMaqlU8//TRR2VpWJVkXkI15xJhapzfddFPSJfdFHLWV0BoybioQ92W9jh8/Pj9LKi7XtpYbigphq6iiCUWj2+uGDBlSF1EgBS4BaXbZZZfkXrKHc39xFmKJTFU+lOvFF19MMcc32kEuAgBO4xvccAG8Wfa++eabk7z7nWvhP6eddlo9U/XVV19dF1GIHziwVlabNm2SK0Ii78uYjx85WxaPw5sPOuigbJGR+nFTXMpxI+4DAtd+B5FxJZTQBwh+rvXwww/nM44YMaIuokAb3wdkfvbaa69sQ6h+mBxYMs0dJGMyoVdsuOGG2SbB69gJmSyMGSFJC0YVVXv8KjOBZyfQqDaOPPLIenNonaoiCHfGcPLkyTlGxD9rmECH99JTVE3MG8ccc0yafaCzccBhVWdEQcfRqj5UO2PHjs2KQlVmLK2/Sy+9tDL/V1FFU49GOay2hMzGage1zj///ERWyii+AenwHZY03FBGOeigg9IKZ7sWg4bMqs7Hg1m9oKi2y4svvpjXt50KwjMqlMP94Zga5X6utdZaySfxM9xNdobe7lNmx6X233//fH/oga+rHijwXucANAd6QevOnTtnW4HCqTKhTtYGngVhZHtK/6effprIaR4c42Ibny1wqicIbPz/9a9/JVf1PK7lJ2sgpGXTU+FB+XfeeSdNOMbA/VFUy0EBV6WYJ1XNmmuumWsWv7Ruqdi0DHPImmr9DBw4MPktCydl17hoJ6kEqflQXdvvxhtvTAWbHuHz4bPWUFQIW0UVTSgaRVgKnp+4LD60yy67JI/TX6OgUSEdsIbnyZZQcdSoUWnaxw1kShkeR2CMltkowrjCJ598kkhvIwGkxB3LoUeGp+oTqyZ69OiRiI6jUIFtkYIqfupT6tuNHz8+x8EGARyGIur3Kg8o7r2ZV/r06ZO8T0Y3XqqL2rBty5Y4P6FQhw4d0lxhCyDkFo6INcfGCmfecMMNU7EuH67NgGLjCKXXhgmdCOto9OjR2bOnBVhT3qN8oLieu/sy13j1Nttsk2vMGtIzpaybH3/jviDhPffck3OlWmArdG0VgcoUj6cS00CmT5+e/X/rT0XIGtlQVAhbRRVNKBpFWNwFR7IZ2jGSK6+8ctbzMhGOJJtQHiEGzuDw57fffnux3hekZdi31Qz6lQ8ll4k7dOiQ70/1o3S6Zjlsv3NNvLP2cHDcGh/DWfAgmRb/wFUg0ODBgxNtjaF+JA6Hb7mGrwyhOPr3+PHjc9uYzA4hl/T1DpAbR9djdT89e/ZMfqzq0QvEc20g0Fcsf8PaV199lcfcsih6duis0qEZGFP9WtVCjx49sldd/t5dc1sOqjlkw8Hx4oceeijXG3RkI7R+WRB9gZb54Al47733EpVtyeSOwq11FrwvHQeaeo7JkyenVmFDg617rt1QVAhbRRVNKBpFWP0sqCiTQ5QFCxYkV+SzpeziuXpVVNHyV3f885//TJM0lNYjxINrt3FFFNlblpYVv/766/Tcynq4KM+uvxUyvv6nbVaQ76OPPspnhKx4JWUXd8SxPBuf9ejRo7OHzQgO1SASpw210jjh/rjW5MmTEwG9H3WYolm7wVsFQVnGIfHUbbbZJu+fR1vFg/+ab9d3DQizxRZbJMrZfAGZIIbxNMcQ3zxRz5999tnUCHDVsg9dv1XQRfB8FaGqqn///jlnxgPyU409E+XfT76BQw89NHvK+rGqCtfQ2zWO0Fy1iRe/8sorqSCrEvm3jX1DUSFsFVU0oWjU6XTCCSfURRQZVh/UFqpVV101MxCupUcn68s6kBeHo+jNnj07fbR4jgypvsdd+D71FClrtjP169cvlTyITzHEZQ888MB6DpJp06bVRRQZFiLopXbq1Ck5u/+HO3p/lQAUt3UQypx11lnpFeVtlp31HI0HHgT5PZvdG7feemu6y1wL58Od99lnn3zGu+++uy6i8PTi3eZnwoQJOZ92zPBK44TlL0y2C8X7zZkzJ/m9+zQWfMh4cHk3ledUWXzzzTfJxa0H68Na6tGjR705fP/99+siioqLWuvvpkyZshi/peCq2qAfnuk+dR2mT5+ePm/IzZes4lHp0SHoBPzilPF//etf2avVfy3P6dlnn105naqooqlHoxwWt6Q06sPZndCsWbN8Db+pYzkhqv2oMhk+gqMtv/zy2btzTKS+qsOdZTAZE9LxI+O8N9xwQzpU/I17xsfdh8DLqISQAWL07t0735fqZ18ovqa3h4fiwRTIZ555JhVYzwhh9JShmD2dqgjXViFsttlmufnb2DreE0+F2hGFSk9pV+EY8+233z7VeIiGVxobe4VVUf7N1bb00ktnFwDqqAzwOxUFFOSrtZY8f69evbK6UTmYZ3qIHWCCp5o/2/rQ41x99dXzb+yoMQ6qC7zTM+ulm/tzzz0351ulR1tRHdA69JztLzaX+uc33nhjIjovsWqFx7qhaLQk7ty5c11EUQIpFyy2iy66KL/xHIlXIhNTLrjggogoGuPlEvDaa6/NxUSYUjpozUgGBll5x8jgWpMnT86BJptr3Lu/++67r16p4dvdlG7EE6VJu3btUlzR8pGUyq0KQcCSePbff//8wDm9wSL0IZPALD7P7ln9/fTp09OuSEBRXkkYtSfjt23bti6i2LihTJOYRowYkWOlxaKEk0x8yLQrJApN/ptvvjkTpbmUVHxoiJASKfupktMHd/fdd88Ppmv6YChnt9hii3pzeOyxx9ZFFDZOWwhZFp955pm0RFpbhCutRB9y65coRgx66KGH8nru1bP4kFufNhD4bGmPmq8FCxbkGNrgoEQ3HkOGDKlK4iqqaOrRaElMclauEE407vfdd98sfQkFspDMpM3i+2dskibFr7feetkuUibJkLKPMgFBL59UD8nefvvtbJDbxqVEY9AvB7O3jOfvoWrfvn3z+W26ZlxXgmmREB2gpSx+ySWX5FZBPwk8yj9b84wxpEJHtAbWXHPNLMHcF0uhNkJtEE+IPioIqLzccsvl9YiK5k4bhYkASrv3WhFO9eGEf8YEVAQa2RqJcijHIf9OO+2Ua0UbRSmpfDX/ggjEXGJrnE3ir776alIAVZHKjxVUea8SM7dK6COPPDKFK2KiliHjjs+AZ4KsxkD19Pjjj+fzE8hULw0dZSQqhK2iiiYUjSKsbIiPyEKywW677ZbcBPppeTDGyzK2eeFi7FpHH3108se2bdtGRGE80E6CDmR1GRhq4tHt2rVLZMJv/a2MWg6kH6fCT4lV3377bWZdHEWFgcN5fxyKKAHxzjzzzERDSEIok6XL2+xkY5UInr7MMsvkfUAQQpWqoDYINyoNgpn228cff5x/5x7oDzgs2yBezSAPNbfffvuspBjdtdUgLsGKhkGUwikh2uTJk7MtBvFVbfhdOdw38wUjCHFszpw5yTPpMSoPYpQ5pLXYUmlOe/funevO50HF5bWqFiYX5givp69svPHGWTnZIG8OjX1DUSFsFVU0oWgUYcuHoUEhquFxxx2XyCoz4ROyL7kc/9EyUNfvtttuaSa3IRqaMFDIVIwKFD8yutbSyy+/nMgkkzJd2KJXDoiDc1FKIeCCBQvS1kZZxanJ9cwIKg8mcSjdt2/f5Dflc4EZJVQE2gjUS/wYMs2YMSOVbxzST8es1AZUgtT+jcv+/Oc/T1M/jkadhQi2OapwVDbMF2uuuWYaT6ja1gpTif/vHF4bt1U42j8tWrTI+ymfgq9dAsmECsi1oLq5Pe+883L+jR39wxZN70lpdz/muGPHjmlrpfZCdBUhHQJ6UoldQ0X0/vvvJ3JTvvF166ChqBC2iiqaUDTah23dunVdRMHdqKCUrY033jgzAw4ig0ES3IBhQr0vS3Xr1i0zFWRiUNCrxAkgHVWY4gcRPvvss0RbCAnhxdNPP12vv3XVVVfVRRTH3ngeSHDZZZelvRG/xYfK3yog00Igit/SSy+dvAwKGBc9UOqxvqxvd2OLxMueeuqpRC/PilPimGuttVY+44svvlgXUWR3SI1nb7XVVmnnNHfMGqonCjB+hRerDtq2bbvY1ktKqWvhuPiw3qr31Lv+7LPPkrOqQlQOePCECRPqzeEDDzxQ71vmqfQ47Pfff5/VDuOK9Ylr28qnirJ+mFJWW221RD/VG25qHbIXGi86jUqEZfHpp5/OStO8l9dfly5dqj5sFVU09WiUw0I8iMr9IWseddRRuSGag0emkslwFVmcWikLffvtt6mc4rk4K85CBfT/oYNret3ChQszc8tgeomOLCmHHqRn0lfm0LnxxhsTyfTsICj+Afkp4OVtYcOHD08+pZqgBuNQ5aNsqJjQFEJvv/32+TfGwf3Yuld7xIueKvcSVdprrrjiitQK9KLxOwjBzskFVPudqRGL+qJUXz/xXVUGHqcaoSb7ydo4evTorEKo8MbXGJbD6/VaVUJ+/+WXX6aii1NTfFUC3gt6upbqbs0118xrqDBUi9YKhDWHPj/62D4jbdq0yf4/lVzF6d8+N+WoELaKKppQNMpht9xyy7qIQo2FHBBt6623TgSThamQMqxMIuvJNvqSl1xySWZdPVQclYcYOnIF6eniEPjdt99+mxmSk4T6R8ndeeed63GD66+/vi6i6IdRCSnhxxxzTGY/PTuo5T24YWR0SrMN7B9++GH6r3E53Mg4eVbVBbUV8kKEO+64IzO560NCSn3tFsLnn3++3vPpDeO922+/fZrUqZu4Fo7qedw73yvv9x577JF9busBkpkb/Xm80v/Xa6/9ShWo56A4qry5Peqoo+rN4cCBA+siCq5rrlUpa6+9dnoKKOqexbr0dSzCc1CGJ02alBWGKsm8U3yNh/61cfQTai611FJ5Pzi0zwm+27Zt24rDVlFFU49GOSwO5igS/FSG/8UvfpE7eNTnDu4SUEi2pODpqe6yyy6p2Mn0uCBk10uVufQ0/X+8ddq0acmzHTMCHeyowZkEHoYn+Te0GTBgQPJhKKKnJ0vjtlRUnB//efTRR5Mnelbc37P5Gz1mfllVB76866675oFdnEBUaxu8a4OCTieACjaaX3fdddk7V8Hgc+bI0TjGDk+FZK1bt86vAIGYFFtVEBVUlYIv+9pJXulDDjkkEYuuQJ3F3cvBi24tUoRVS6eeemr6kKE3tHZf1nT5eBwV4R133JGagc+Bo2JURaoJ1abtldRu1dJmm22Wr7HuVBhQuqGoELaKKppQNIqw5d0fVFkZb/r06YkEkE0Go+ziu5QzfTfI0adPn1TdZH8KKm6Lv8nG+p94AA43evTozKTQDe+WwcrBJcPLyQMNgaZNm7aYoocPQkW7jGRlThto8/bbb+e4ULr1mvFzeyjtkOLv1TeF5vfee28q7cZJNUA/qP1aEiioStBbNYY9e/bMnqOfKgicjQ6gKijvff70008TfTm1HJQOSWykL3Nbh8xxWXHVRRSqsI4DR1xZQVXdQSdzRzc46KCDUoeAdl5j7agujLM5tX7PPffcVIXth8Xl3Z8vxjZevAkQ3y6vpZdeOisP6877G7eGokLYKqpoQtEowjqMi9qGo/F4Hn744ek3diwkHiXb46WyjUxnt8hOO+2U/I67iEJrX6yQrb3OrhnX+uGHH/Ie9XmhkeqgHJw5siI3F1564403JmJRGKEAtMLPKbtOTKjNrHi3HiauanzwY04X1+JP5Xz6/PPP07PM40vxxTkPPfTQfD6ebso7vmffb//+/XOucKzy16tAcroAHg4VJ06cmMjEI067oFmojii+5g5P5eVeuHDhYq4p1UdDfnAI6z0p7pxRRx55ZKJy+UvCaS7uC6e1Tvnb33333bwPXNY8e3aordqk+Hp2/Piyyy7L91U1qOw4wfjpy9HoB5a07cOoBDUJP/zwQy5WZ/ZoFiPktt+xYBEsJINZs2blB9SEKJeIKybXhBAoytuvtttuu1yIrukZlNfl8KFjPvBvE/fVV1/lh8gEeH6b5JX37sf/J4IsXLgwyykTxYLobB/Cj4lzHza0K2G7dOmS5b7y04btJQkWRBNmdiW4dsYxxxyTyYqYouUmAUgajAM+lJ7/b3/7W25jZPDwfObKnBoH7RJlooMNXn755Uyu5t1Zxl5TDs9t/fjAKFk//PDDTGLGEeigCj585se6RqU6deqUCUySMQ82VvgbFMrYowGAZdKkSbmVVFJHpySDhqIqiauooglFowirnQNt2Phqt6LJqEzTSj7IoeXiBEQiiow2bNiwLIEghZIPUsmYym/oI+MReXbdddesArSk2Ao9QzkIa7KxZ5S1Bw0alMipaoBsDOvaTcpb6EFEW3bZZdMowapH4HGaIgRiCpFxPauKZL/99ksbHyRSRSjNjFtEgYLMHq4LJR955JFER2W7aoNQ6BqqJeWibxiYNWtWzq/KBhqiGJBKaa9yIFYR2RYuXJibGFAlbSbimtJdaF1p3ZlTpejJJ5+c61PVYD48M4pijsv3P378+BRSoaAyGw3TylLOEq7MsTH/7rvvUhxVojNQsKI2FBXCVlFFE4pGEVYbQ6Z1Ej/0GTFiRAoDMhGTOR6EI8jwDlbTbunSpUsiA6mbnI87y6gyryytBWIL3ZNPPpkoQHTCEfwsBxGm/N0wUHXDDTdM4cqWOG0oWZhpgEDhWBztr7XXXjtRAgq4T60RbR8orULAlxhAunTpkvPitUQjr60N8+P5mVJUSUOHDl1M3IMyKixnNqsYIKt224UXXpib3Qk9eDHOrHJQWRDZVAmQ9thjj00ubV0wF7iWSksYdxwbAhLF1l133ayKbHqw/oihBE1rXOuOYeWLL75I/m2tGAf2XuvBJgyCkpaNOR45cmRe13hoH6lUGooKYauooglFowir6Q7x8C+o9OSTT6aSh3ey2uGq5e+2KX/j16uvvppojGeq4yE5fgPh2OxwGpn1Zz/7WfIZ13BN5vNyQFSvhxqy6fjx4xPRHNsCnWRwr4X82iyy+A033JAoiPcyIeBBnolRnAJZts4deeSRmcmposZSq6I28CoZ3Rzi+vvvv39WKFCIKl7mrrgYjuY5Z8+end924PgWlZUT7V3bc2jN4XD43RlnnJGahnukqOo0lEMbyjqCzLZKrr/++vmMqiGIbrshtDReUFSlsMEGG6SCz/zv3q1pLc1tt902Ior1ah3XHnuqNYZnm/clfcdvbVQIW0UVTSga3V5XRRVV/O+KCmGrqKIJRaMcdsyYMXURBe/Q38Jhpk2blnU9+6KtXpxF7HP4h54VTrXjjjtm/a43R/XDiylo+B8niZ6anu53332XfI49zX3gZeXNz/fee29dxOJfD4IPjho1Kp+No0pPFDfRl3RUiPvCk+bPn5/PSPHE7djd9C/1rymhuCF+NmvWrFQy8W/X5Lg555xz8hmHDBlSF1EY1PWZ9X0//vjj1CpY/Mwhju6IUvzO611j//33T3O/nrD7xXvxbfzbmsLrOOBWXHHF1BG8D1cW3nfSSSfVm8MRI0bURRSKuEMBKNOvvfZa6h20FQo71dh6ofDaDK+X2qxZsxwHWwRxeGuFslz+/lzrgPr+xRdfpGbi82Ac6CGXXnpptYG9iiqaevwo878s6cuG9Dg/+uijzFBll5LsRh3UG4OAMty4cePSzaPfyikEFblUOJ6goOzHlP/444+nn9O9y2qy3mID8H8VST5P26/0/Lp165YKN6S3bcvWLAq0PrGqAmo88sgjiX78xSoOm7I5wijLPNkyLvfSySefnP1nG7T1eCFvbUA6jjT3pgro0KFDIjWl2ljpCVLhKan6i3qon3/+eY6zjek2HThkgFfa2jF3UNzzL7PMMqnC8v/afEB5Lgd1lntIhUCBnTBhQvaoqcR8Ae7LnPoCM/1xlc8111yTY2nDOr+0LXKqBv82fhRn/959992zd0sdNw5Qu6GoELaKKppQNIqwelA4gU+/Wr1Tp06Z1WU1GZyDwwHWUJrTh0/0Zz/7WfIFPMJhYrKg3p4jN2x3407hwJkzZ06iDUSxW4TfuBzcPJxEkA+HbNGiRb4vBIIwdg9BDdlYQP5Ro0Zl5WFnj7A7hD7gbyAt55jxmjhxYqIurs9lxDddG7VfFBZRbJD2vO3bt8/5dW98rY4mVUHYfWIXFV641FJLJarou1s7qiXVh6rJ/XA1uYejjjoqrw+tIfuSvk4zouCBxorHvPbb4O20whX1ufVw3YfD2GwlpE8sXLgw9QSOJb551Rg9h0/ZtfWD/f+rrroqD6NT3ej163k3FBXCVlFFE4pGERbvkklsguYX3XHHHRPl7HZwLApnj3/b0cIjq3YfMGBAKoiQAzeQnf1/fEPmdcyKDLvrrrumgse/yZXUkEsGx8IzHB0qI//73/9OfqZKkB3xIeok15JMipOvssoq+aW/dstQuiELf7JdQxRJr6fyTpgwIZ01+DbXFN3AnEQU42xDPtcaZXOttdZK1IOkUJgq7/cUXlqCeejatWuiiYqBMsp1hL+5D0qwKkrVsnDhwkQbe2W5oqB2OdyvI3usU3tf77nnnlR/zRnOyhlnfaqEVF7m484770zNgiIOac03XsqfTHvREbFOTjrppNQ3aCiev/YQ+CVFhbBVVNGEolGE1d+TjXlLZYr3338/eYJd9bIhPmQXjx6mozig5sSJE1NBtisE/3XcpZ4V5ZFXk2qNJzdr1ix5pF6xXSENeYn1+hwCrnqAOp9++mlyRGinX4mvGyc/ZU0VwtSpU/O5qeQQEz+3B9UzUTyhee3h6Y4dpRy7V4hbG1De7iMKO5W+V69eqYIL1zWnVGKcFlqqGk466aT8f54Huuj78kRTp1UYkMzhfH/4wx/Sk833bJz5fsthl5e5M8aU4QMPPDAR355WHBbCu4bD0/Fl62bIkCE579YWlDQfdBJ7f1UIeusq1pVWWinXnd62ytPnZ0k7ryL+hw+ssowEr2zTEG7Xrl2WWAQZTW6GbVK3csoRLgb1sMMOy8EhmyP+RBSmAx9GBmkfdBM1bty4FEyUMsp5yaAcnknpKLEQ0bbYYot8X4vMBgdllsl2ap4y3HOddtppKUT4IBKRlPBKcuW3slZpb1G0atUqr8GkQBiRHGtDya0VZPH4ULZv3z4/XOiL1hMK4ogWwpJ2kvJ24MCBi53653RINIFQ6N4lGWOIglx99dUpHPp/1o4PWzmMlf9vLbq/448/PpMOaiSRAwfJjtgn0WlXLrvssvk+hFNlLGONBO3Dhx44ZdE9DBo0KF8DbJTCS/qO39qoSuIqqmhC0SjCyj7aODK4E/1mz56dGULjm/VL45/ELkvLgpDlueeeS8sZUYGI5G+ZGqCnEl15pWTq3LlzCg/EBaWY+4M0wil1WgcyHRSdPn16oofDyGrP/Y0oqAJEIMAQZVZZZZUsIz2jtgZbpXIKimsZaXERPLp06ZLjBfmZRIgbtYFWQBClORSdP39+tr6MgXLRljTVAISwDvx7k002yVIScipnoTQxx/Mq/V3Luthjjz3SrmkslJjMBeUw7qoidIt49c4772RrDsKaD9UaRCV4ejZi1KuvvprPphXjGQlr2ko+A9YNKqfamDBhQtIrVIz4VSFsFVX8PxSNIiweCJUIA2r4KVOmpF0P6jExQD/SOtTE0Zgk3n///azxCReax46IIRiQy5F9FjrnvZ5xxhlphYT8yH1D1kRZT6aX8fDDSy65JBvmUAk/l9GZBXBJwoFnPeSQQxY7mhWi4NiMBcQG4+l1+P2JJ56YRg182yYEGb02bH6AWng2nti1a9fkeowxNmbjrOZb2w3i1m6gNya4K0HK3JkHPA+i+RYBwt7BBx+cFYzD4egd2jXl9o7zgFUaKiEi0cknn5wGEpWL97de8HK2SJUZrtm3b980qtB0aCzWMn2AtuI+VCwEth49eiT/pSUQHc17QyJphbBVVNGEotEN7Pfff39dRIFo6n+1+q9//evMtmxrZGrGbajkfbR7HPvSunXrzCp4LXWayuZaTA1aHTiXbW0zZ85MZMTncFcceqONNqq3belPf/pTXUTB8ZjxGdtXXXXV5MVUQpkV31UJeDZGBuaAn/70p5nBcSloYUuh7CyLG59yI/2BBx5INGNgcG3RvHnzfMauXbvWRRTc0sFw/v3NN99kK4aJxL1BP+0JbQmIiwcOHz481WgGfZZVHJEq6/d4p2toIc2aNSurI+1DVRsL4JAhQ+rN4fHHH18XUVSEkM16+etf/5qVk7n0DOc8Zk4oAAATO0lEQVSee25EFCYRVZP3cqTsr3/969RK3B9doWysoYvQXoS5nTx5cuocqgOhQzJ8+PBqe10VVTT1+FHb66i1mu6QY5NNNkmbFmTSk9L3pA7iIUzn+pLTpk1L7qSOh7SUXpxFhsd58REqYocOHfI4T0YDW/f05soB3aEkvg75WrZsmX1KHBV3xINsNMALPTPuu91226U5QZ8Pv4IweDg0oTC7f33aDTbYIHkw872tYLgsZTaiqDQgHCR3Hx06dEgTh2rJ+OLdKgp8z9xRbd96660cR313z8tEAqkgmorMvfq77bbbLhHfWFBOIWg53J9npETXfseOCorq6xmotRAX16cAO3hv7ty5uY3PMxgvfNN68DrVHQujOWzXrl2Ov88PfcA6bCgqhK2iiiYUjXLY1157rS6i4ASyIKRdddVVU9GVPcrf5Ypn4p22MckoZ599dqIafkXRxScgLceLjKX/WXt0DNVVVob4+mqrrLJKPW7wzjvv1EUUBm79UUrsVlttlZkUl8bX/B6ismnKuBTR0aNHp3LsuekC7hfKuQ89VkqpI2yWW2653K4FwfEhKD148OB8xueee64uojiKE9+CKC1btsz3lPVrN95HFNWR36s0WEZnzJiRyKRrULYCGhPrwFG5OL1xHzlyZKqsbIPen4Zwwgkn1JvDyy+/vC6iUNI9B/V7q622Sg5rzFQH1q/7xJv1xbnoRo8enXzT+7imDoN1q6dadlN5z9NOOy17uTQfHgOaxcCBAysOW0UVTT0a5bD4FRcLDzH17cwzz8yMxE9LYZRxOUdwSH5VaHXzzTenQVw/k7qGE/o9/sGjK2NR9K644op0YeFQEIwnFOIKKCHT6cuqJlZaaaXkW+5L5tRb5AiqzaARBap17tw53S/6b5DOmNo4oNrA9SnmVN22bdsmh5WVcVcOqNqQ7SmcEJv75oILLsjnsXFcb5BTSHXiJ56lZzxr1qy8B95y/UxIjhfjrNDK2OlRHnjggWnyp9SrqFQp5YDOlGfzZXy6d++eVQg0VAk4MKD8t9AZl23Tpk36zlVWes00FhWgylDlp5ery/Lll1/mmOPZ9Bte64aiQtgqqmhC0SiHvfnmm+siCsUVl+X0uO666zJTyEjq+/JxplwzVDkcpnfv3slVqL5QgUsHZ1LfUx5lRcj3/PPPZ+8WuuEVst+gQYPqcYOhQ4fWRRTZEqrj5FOnTk21HLLxGVMxVQuOFTE+nuO4445LJZM67Blswi9v61Kx6GPK/H/6059yaxwE0mN2rM3IkSPzGceOHVsXUbhv8N/ar/fAvfWw9Uq5osqb0VVPxvqVV15JBZdC6qAyGoZxxcVrty9GFPrFLrvsks4gnFkvXyVWPqr2L3/5S11EgWi4rm16rVq1SiXf+ENOmgtu7atn7N6CxM2aNcvPAUcebUUP2Xjh695LP9u20I022ig7IT4XevjmcL/99qs4bBVVNPVolMNyraiz1eK1WUpvFDLgZDIIpNBPpN7qg7Vo0SK/9Ah3wpG8D3RSDeB/9og67mPy5Mmp7lGjZXC903LYEVL+wmdcZ4sttkguB7Xdn2eQWXlr9ZX1HsePH5/cToWBs+DQFFnVgmwMpXlhe/funffKUYWn6z/Whuvj+ZBMz3DMmDHpcIIE/gandS9Q03zovf75z39O/7Fnxg1t9uYKgsqUab5h2sLhhx+e86tqoxXg0OUw7vrRru0++/fvnwiLh3otRxnXmMqQJ9puqdmzZ2f1UNZWcFrHseqQGGvviadfe+21WVnZCWcOzTPkLceP+vY6woeysXYnPwgn6vgbooYPjpaDDewG8/zzz8/SxYYBJaWymYBhMJXIFrMtY927d8/N48zkSvaGzrRVziqNiDIWZ//+/bNkdOIea5oSmdhDjHNfEsxZZ52Vk+kDSVTyvu6bKKVEIsC4/zfeeCPbBJKK0kzytEkiokiUhBHWPCXguHHjcuFJnEpglMRWSS0YpSojRb9+/VJwM99ohHKW5c41mDI8r2ueccYZmUSJNMrthswv7puRxLNKkhMmTEhjD3HMvDOoAAuiaI1FMCIWlcjAiMVQojCXNuFLVg5eQDGsqUmTJuUHlKBmvMxhQ1GVxFVU0YSiUYQl6hBuyt+A/e2332ZWkz0gKXuZTCbLKCNtJ/vlL3+ZaKvUVDbL9DKoLGRTtqwJCWbPnp1Zn4AFjQkz5SD2yKTKQOXYG2+8kSW3csV4KPuJJNCTUKQt9uSTT6bIo2QkejDWu6ZnZPBHQzzPr371qxwX7+u10Lo2tE2calk+0mf33XfPe9LMZ++U/Y2vlhNxDVVYY4010kyj1FRKKmM9ZxlRtAUh87bbbpsVlfFDRZhZyhsilLWQTkmqNB42bFhWRdpbUNx9G0tBPIXA9957b4pJKANUZt0l7EFJ5b6SWHXz/fff56mitWJbRMNHGYkKYauooglFowgrg0BAXImQc8QRR6TRADdgx4OCjBOuIUsyRl966aXZ1IaGxCRtC+gMFWRnGQyXvPHGG1Ncwsvcq/ZCObRLXFPGIxC89tprybtlfqhFUIEm3rt84vvSSy+d3E27AC+D5Hi7o1MYzCE+XjZr1qx8NshCfNKWqQ0tIPxLlWAeVl999bTYQXMmB3NHUGIFZVQgnM2bNy/HT5Wh+iDe/H/t3TtoVF8XBfAjiFiInZWSgMJoFUkKiWksRLEQfKEoKQQVUfABEoNYjAFFSZlKSdJo4YOAEkFJI/gASVCQQbARRARTKKKFERExX/Xb93o/M/X/wtmdk/HOnXPO3WuvtfY54zNs1IDOWv80rly6dCleq56TbPyrATVVbSoGqL5t27bgzMTR6mZ39+270QlULxcuXIj/q8Jh77k2K9Acq3g04eDpfX19UZGqZiD+vw4hKEdG2Bw5ahRtEVZWhhSQQ2P6wMBAyOEyhKwsu2mM12Qga0KD7u7u4Mr4rvZGnAR3slEdD5PpGOZ37twJOZyCRyWlYlcDx4JgDH0cpre3N9RpPMhROTI+/ksdlOnd58jISCCobV74jN9Y1XZpK5/vrFJRdaRUHLvDMsP58XEaQ0oFajL3qbI2vQ8PD0dTCXuKUq6yYJVpkMfpWRNTU1NREeCXGmaMI17HEaC0QjYcvtlshkKuKoO47qsaNA7cmnpOR9m+fXusLcoz5KT8QzwoqvJSIYyPj8c9sr80VZgPTkD1Vw5dS7vs+/fvownFc6J5iMuyUGSEzZGjRtEWYbVpefo1sPt3R0dHKLsarfE6mRXSMYipbrL63NxcqIE4mbY9XioU4gdCCxyb8T86OhqZi+oH0WR+CCpwCNfEh3ir165dC2VbU7ctWRAAKuK2OK1YtWpV8DD8U0UC1fit1GyNBsaan9zb2xtcSYugSsTYlwNyy+S4I97V09MT4803hBRQnk6hSqAaQ8JHjx7FWKhoaACqMyq3KgCHVCVpJ2y1WoFYqgNz8a9jXFMqUNq40AdUc11dXeGR6iFQ+fG/fRZOy0N3MP6uXbtinDV50DtoKLg+D9e13T8Uf/PmTTQFOShB9fqvOSxHRtgcOWoUbRFWhqJ26QJR1588eTK4i64kW6BwVgqZTh3ZjyJ89erV+BuOIAvKcjIX/qNVTiYrHyEqk2syt2EZ0lSDsiur85p5qTdu3AhEoZJDj+pPmVD4jA+18vz588FrKd/UWvwYDzWO0A0fwsG+ffsWaIw7G79/dXPhf8bIQWG28338+DG8a0q/ceVnel3wCqHClStXQsH3PVQSxgz/9H+oyNr98OWxsbGYb99HJcHjXyisOcinA27x4sXRRkmlNoZ0EUfBWON4sc/cvXt38EtVihZF38EhBJBVxUJ/4L13dXXFc8F/1uWHYy/UmpgRNkeOGkVbhIUY0EoWkJ127NgRnStqf51PeJ4Ny7JTdWNwo9EI7qeex6lkePeBb9qkzmOE6j9//gwkxXf0PzuaxeZyQS21dQtf5oeuWbMmEB9Hcm0ICwEo0bw8qH3q1KkYJ/eHK8uw+LixhhLQD0I0m81AQGq6e4cw5aALyPpQH8IfPHgwxhPaG1e8Dv/F5SGscW80GqF3qFjoDzgrD5d36b6otTSHgYGBmAObKHDqco90Oegh5sFnQKs/f/7E+jN3NrRwQmgJNAPrxXiNjo6G/gExqdK4rc+zXvmu7tumhkOHDsVYWmf8dmt8ocgImyNHjaItwuIflFe+Gy555MiRqNupbvo3Hd9Y3T5V3bi7evXq6GTClfA8wfeCOhRFHqWMfPTo0dgxY8uTe5cpq8Ej09tpl5EKYGJiIrw6WRBfo9xCPxycpwsBV65c+X8/v6g/FnfC7VQXxofXS2VfsmRJHK8CLfSqqnL0paZUcHEoSunG7ScnJ+N+q+jn+hBO9q/+/OOPHz/iM2kaODj+rxpxbV6+riAdcp8+fQqEtwWQksyvh07CNe2q4lxYvytWrAj0swldNWT8jR13w5ry946OjpgbVY+5sebK3yGlwodVaRmL06dPRzcZRPd51hSdphoZYXPkqFG0RViZV4azcZqC9v379/AgcVeeE24AFSGtv+slnpubC89Rzc/XwotkLmhuMzK0xhHu3bsXXq2s5ztA42rwxtyfa/MV165dG8eaQkV8Ey+F0hRw6qZM/PLly1AW7U7hW0M6HTYQoNoBhF/u378/EB2H5Pvqfy0HLmasICF0vHXrVmx8d2+4Gb4t20MfWgMF+tevX8Fr8UjKqTHB/3BHVYGqimq9b9++qIa4FHx2Hm816AFUYUq7+33w4EGsC6qvefddVYjGH3+25s6ePRv3QYeBoPoIoCVkN06Uac/R48ePg+NbZ/ZQV3/eoxoZYXPkqFG0RVinCOA9sieeNzs7G9lej6psYo+gf1M29b9Sa69fvx4og0NBLlxE7677oHDqToJOd+/eDbSWISE9X7Dck5tSsROEigj5+J+U6pQKT5k/7HPxNRxfBoZY/f39wYPtF5WtcTmI4wgZ+zRla5n33Llz8R7oC/n/5cNCNP3AxgEP7+npCdXf7hsqt3nQ94yD8YRxxz179kTl5L264jgLrmnXDnTC3XV4Xbx4Md5jbUFKKFiNM2fOpJQKNHTKBa7f2dkZa8xYUa1VKZRdnJpqjBefOHEi9gvjw/QR/NePxLmW8VQ9mIOtW7fGWNJ2rBX6jb7jarR9YD2gbA3k2WIeHx+PhWbBWxDMby2BFrsBYJQPDg4GATcxTHYb1DUqKK+UeTaF++xNmzZFMjGYFoTzcathoJSvSnv3OTk5GeUU0UnJZnB9RyWihgZl9uvXr+PhUtZVfz+VhUJQI2gody3WDx8+hPjBDiOMWDDlMB8EHEnO3L59+zZekyQkIMKMh8ucWWQsmefPn8dDYw7RGwlJWS3Zuqaxs73u1atXIWpJfL4X66cqOrHGPOhomPvs7u6OhGGObElUErNcXMPmBJbZ7Oxs0CVzxhJEd/wfD7sHVTJDE44fPx5Jz/yicABuocglcY4cNYq2CKu0sG1MFrAZfHh4OAQf6MNEhn5KQRAvoyknv3z5EkgqI5W3paVUZCYZHUH3uvay9evXhwCkGrD5gGxeDe/THECUIDQtWrQokMVWPN9Bk4AKAfJpNGdlvHjxIra8ycoENWOpNCufrJdSUVYp1e/fvx8ILqBbuXwX5gWCEFvKLYusOCW1JguIZruaSktpqI3z2LFjUcmoTNwjlDaexDNzaL7MU19fX7StWjOqBHOl/VFAPOOPshCfRkZGYnzRFiIYaqYy0JSvgUVVt2HDhrAXtXmqBKwD4pO1rTQ2P1C12WwGzbMJQsVjnBaKjLA5ctQo2p78PzY2Np9SgZIyGMSdmpoKu0Ttjwuq6xn3uBvRhSixbNmy2MIElYlPEEPW1hoI4arnFa9bty64Edm8ev7tli1b/jpRfWZmZj6lgkOxBogyT58+DWTHpfAh74EuPtPr0O3hw4ch+cvYeLDNClXzne2lWQH6DQ4OhgAFgSAe2638K/PT09PzKRUbOKAXO6W/vz8qByjEvCfYmRfNJKoE4/Ds2bOwhryHqGLsVC7eZ05VSf5++fLlqNIgmTZXltTOnTv/msO9e/fOp1RsTbO2cPvOzs5YY0Qx1ZzqwbplWTpozftbrVboEFDYuHndd7KF1MEK7B0HIBw4cCDGWOXnKCOoPDQ0lE/+z5Gj7tEWYYeGhuZTKrLRkydPUkoFL3n37l3U8cxr6jBJHWcREMbnTk9PB/qS9imlLA0GOhSXaXEsyu7y5csjY1PsIBulrvzbqSmldPv27fmUCg4BNWT3pUuXRpXgbxRnlhB+6X5wJ619GzdujKN0ICVOi0vhZWwQ7W0qAw0grVYrLKuqyY4Pln+XZWJiYj6lolGCVUfJ/Pr1a2R1Y0ctNh8qGt/btXDYRqMR1hA1G3Kx4iAXewUvdcAAm+v3798xzrYCsurw/s2bN/81hzdv3pxPqVB0IWD5GFgI6r5UidDcvFgvqg2VyOfPn6OtlI1Dq6APOJzd/Fi31haLbWZmJsaQSk5bMD+HDx/OCJsjR92jLcLmyJHjvxUZYXPkqFHkBzZHjhpFfmBz5KhR5Ac2R44aRX5gc+SoUeQHNkeOGsX/ABiM9cGmulKvAAAAAElFTkSuQmCC\\n\",\"text/plain\":[\"<Figure size 288x288 with 16 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"\\n\",\"Iter: 250, D: 1.145, G:0.9977\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 288x288 with 16 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"\\n\",\"Iter: 500, D: 1.101, G:0.9532\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 288x288 with 16 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"\\n\",\"Iter: 750, D: 1.318, G:2.506\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 288x288 with 16 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"\\n\",\"Iter: 1000, D: 1.192, G:1.034\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 288x288 with 16 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"\\n\",\"Iter: 1250, D: 1.068, G:1.376\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 288x288 with 16 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"\\n\",\"Iter: 1500, D: 1.161, G:0.9733\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 288x288 with 16 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"\\n\",\"Iter: 1750, D: 1.117, G:1.086\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 288x288 with 16 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"\\n\",\"Iter: 2000, D: 1.098, G:1.302\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"iVBORw0KGgoAAAANSUhEUgAAAOwAAADnCAYAAAAdFLrXAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+WH4yJAAAgAElEQVR4nO2dd7xl47nHv2eKMgZxEaPXS/ToQRLCaFFCChLmElEuGeXiuoiP6IyJKBFcPRFESxAhQnRBtKjRS9RoE2W0mePcP06+693nPXvtuvbeZ5/7/v6Z2Wfvtdb7rnet9/f0p6evr4+EhITuwIhODyAhIaF2pBc2IaGLkF7YhIQuQnphExK6COmFTUjoIoyq9OWYMWP6AD799FMAenp6AOjt7c1+M2JE/zs/00wzDfh3jjnmAGD69OkAvPrqqwBMmzYNgNGjR2e/9xzvv/8+AJ999tmA680444wDzlV6/dLfl8Jj/ddxTZ06taf0dzPMMENf6bnj48udOw8eM3LkyAHH1nOOItDX15fNcaaZZuqDcM9aNSbnXoTXIT6Xz4f39dNPPx2whj6nn3zyCRCeLZ+1ZuZa5LzqQekaliIxbEJCF6Eiw7pjVdqh3LmnTp0KBDaeeeaZB5zDvwt3v97e3uz88S7mZ4+NmbUSPDb+N0a1a9cDj4nZupPwnrV6TEUyUHyualKBz4fH+cy1YiydRmLYhIQuQkWGbUT2d0f/5z//CcDHH39c9nfuXLWwZj3MGkMdRMbPG8dwRTvYfoUVVmDPPfcEYLfddgPaq7c383x0GxLDJiR0ESoybCOQsWTWaju8DFh6bCvG8+6771b8PqFxzD///KyzzjpAsOi22zL+/wWJYRMSuggtY9g8vcIdeKGFFgJgs80245vf/CYAU6ZMAeC+++4D4OqrrwbgmWeeAZqz/uWNJzFs/XANx48fD8CZZ57JHXfcAQwtC/lwRE+lB7anp6fup3nUqP49YNZZZx3wefHFFwfgggsuAGDRRRcF+p3hjiEOzNBc/+ijjwKw//77A3DbbbfVO6wMsUO6kTm2Er4MBouoWtSzsZTOsRXzm3vuuQE45ZRTANhoo42yl/eBBx4o+nKDMNTX0ACPZoxhKXAiIWEYoHCGnW+++QA47bTTAFhllVUAmHfeeYGw+9SCWLz287e//W0giMz1oFO7s5LGLLPMAsAHH3zgeIDgdjriiCMA2HbbbQF47rnnAPjVr34FwIUXXsiHH34IDDbslIRTtoRhx4wZAwRReNKkSQC89dZbrLvuukB7XCydWsM47Pajjz4CwlqOGzcOILsXf/rTnwB4/fXXgcalpFIkhk1I6CIUxrDqXNdccw0QdhmZpRHEuq14+eWXgWC4qmXnUjfs7e3tyO68wAILALD55psD/cY2gPXWW2/A+DTamAihLcBQzscff5wzzjgDgIsuumjAMUov06dPbwnDLrHEEgAccsghAKy//voArL322vz9738v6jJV0QmG7enpYb/99gNgww03BODFF18EghS00047AcHucOaZZwLwm9/8BgjS1bPPPltVEkkMm5AwDFCYW0cddbbZZus/cQPMGjNqzKxCXWKGGWYAanP3+NtOYZdddgFg7733BgJzCkM5jzzySCCw5u677w4Ey+wqq6zCSSedBAQ32LXXXgu0bo6zzz47AN///vcB2HjjjQE4+uijAdrKru2Gc58wYQIHHXTQgL+pw6qjfu5znxvwebnllgOCZOI78uqrr3L++ecD8MgjjwBB98975kVi2ISELkJhDKs8/6Mf/QgIu77JxDF7luqdWtluvfVWIOh1Wk7jY5566qkBf68E9bo555yzpnm0ImF5lllmyRhWFtxjjz2AYEn0/nl9d+WDDz4YCLv3qFGjMnZWD/7jH/8IBD23aKy++upAYAwt2K7XcITPzU9/+lMAdthhh0EeDp9D10gp6T/+4z+AcN++8IUvAEEy7OnpyYKFNtlkE6DfNgHBlpGHxLAJCV2EwhhWRrrxxhuB4KvaYostgKDDvfPOOwBZKNu0adNYa621AHjjjTcAWH755QFYcMEFgcA66nX3338/MFjuL8eKsvSSSy5Z1zyKxEorrZSdd9NNNwXg5ptvLvvbsWPHAkE/nGeeeYAwx2nTpmWJDKeffjpQbMJ2KWQU9epzzjkHgFtuuaUl1xtK0OesJbyUXY3mWmONNYDwXMqgt99++4Bj/bvs+fbbb3PxxRcD8PzzzwPhuauWNJEYNiGhi1B48L+wZIw7if/G6OnpYeLEiUCIkir9DsLuIzv//Oc/ByoHmnuslryXXnqp/kkUhLfeeosnnngCCDtqjFVXXRUIkU4bbLABEHZl46q33XZbfve73wGtD7Q3cmfZZZcFgkXz/wO0ech4vb29mf9f5vT++6x9+ctfBoJl3ziBkuJxABx66KH84he/AAZLR9UkvMSwCQldhJYxbK3YYIMNWHjhhQG47LLLAHjvvfcA2HnnnYGwk8nEsd+v3K4UxyHrG+sEXnrpJV555ZUB4xJKFWa+qL87Z+/FYostBuQn4rcChx12GBB86vfee2/VY7SCy85aSI3yMdLL+/GTn/wEaO+8ykFvhnHqEyZMAIKE9tprr2Xzd02Ea7P11lsDQf+NyyPpxzVSrREkhk1I6CJ0jGG13l500UWZDmAspju68bf6HdUhzKV98803gbDjTZs2LdfKZoZLK2E8tdksDz/8MNBfQkUG8V+t6D/4wQ8AMilDnfWFF14AAst1goG0WF955ZVA5UwcfbS77rorENZmr732AkIEXByNdeCBBwIhx3n8+PFtKSogo+qhUKf8/Oc/DwR2fOyxx4D+9VJqcHwyqZFfPq9xfIBr+vvf/77pcTcd/O/gylRnr3ic4V1HHXVU5vq56667gCA+rbnmmgM+ew1fPoPQFaXfeeedqoaYIgLHnbOLe+qppwJh4Xxx7XZw+OGHZ4Ekili6d3wh3YQ0Qih+KaJpcKsFzSaw+zDrnlAVsRJIybmB/of+gAMOAMJGYzCHSSD/9V//BYTnI37uPNcee+yRuavy0MwaurEYmK9rJg5Y8Dlyo/zoo48yMvA+GBhhUIvPaTwn52pQ0aRJk6q6b1Lwf0LCMEDTIrG7h2KsYoO7i8ygCHzssccCYSc+/fTTs/CsLbfccsA53eVkrHjHWmmllQC45JJLGh5/LaGIMaOuvPLKAFkQvuZ7IYsqOTz88MPZOdyNv/e97wGBWd3hDS+U3TpRc6o0SANgxRVXBAYzrOL8iSeemBlpFPs89vrrrweCFOSavvXWW0BYO9dy4YUXzp6lWt1Wtayh99e6yV4vLxTQvz/77LNAv0vLkMOtttpqwHVrHZ/3aPLkyQ1XlUwMm5DQRSjc6GQpE40o6iymh6kfuXuuvfbaGSMZaK3BwnBCwxrdQdVh42TvWgIp6kVPT09mtpct4rl5fV0z5513HhCkiJ6enmz+O+64IxBK52jcMCzTuarPd5JhTcw+6qijADj33HMHjGmHHXYA+oMLrrrqqgHfCdfkL3/5S9lreW6DYRZddNGsi4C6rPeo0TWEYLjcbrvtgBAuKOI+TkoIpsQts8wyg4qrVUshjRNeYimjESSGTUjoIhTGsMrk6mjqe5rx493R3Wn8+PEZQ8nO6g0G/2+//fYDjpWlZYBagt/zmKqkdEzusYbm6YqJe8d6fZl/o402AoKkMGHCBL72ta8NGLtShcx0+OGHD5hTJyvnO5/JkycDZKlgJ598MgDHH388QBYiefzxx9ctCchW6vJ+nm+++bLzxoEHedeo5doyrN6J+FhDaQ3oUKqaf/75gf7nRGbUzaX7TveOz4XponFxNufVDBLDJiR0EQpj2NgqLHNV0zumT5+e+brcqQy81q8pK8nKMtmf//znooY/CI5/hhlmyEqjxL1k49Kl+lQdr78vLZYus5rAfsUVVwCtSz5vBo5VfU9GMRhCBh45cmS2zjKYuqD3UclLS6msrV/Ua1177bVZgEzss21G6pDdYqtwzLAyq2tYCudkyqOBPn/4wx8GfB8H/hiKaJJ6M0gMm5DQRSiMYd1ZDcxfYYUVgLCzxlC+v+WWW7KwNXcqQ+LcqeKdtsgww7xdu7RtiMy52mqrASFgXd+yu7a7chz91dfXl+3gJvibBN5qZm2mm5y2BCO2tGTHktD555+frckiiywCwN/+9jcgpJzpSzeMVH3w6aefBkLJ1hNPPDG7J7FHoRlLv3pkzPye07nEll9tG++8807mJfA5zUtz9Bjv3zbbbAMEKaIZJIZNSOgiFFZI3B3MAl3GjsZlXoQ7/vTp0wcxUx485q9//SsQolYsGVOLtTCO0RwxYkRfuWMrRc8oNRihpaXzi1/84oDvlSLuvPNOjjvuOCBIIurt9Yy9VpTOMW9+9WCZZZYB4JhjjgGCZGHg/JgxYzJWdF4WJDPp3UQI5+saGvHk8ZUkgXKtSP7194qTGzlyZFZWVCnJOcw111wDzi1bOn7jxM8+++zsb97LWu+prO3cKs0xr+B99n1NV0xISBgSKIxh3bGMB/76178OwHe+8x1gsD5aD+ISMV/60peAEElUT+RIzLAzzTRTHwTdphEmUj/TZ6e0YTmYN998M9tV1deNwzX21hIyRaB0jqNGjeqDYptUaTV2nssttxx33303EKytrnfc9KsI1JutM2LEiEw6MMlcplfiMdJKndrYgH/84x9A9eyzSohtGpXWwvs2bdq0xLAJCd2OwttNyjZG9hgr6k6mbyqO5YTBsZfqNTfccAMQ8gnVhxqxfMa788iRI/saPVcjcG42uLYYuNFURjrZrrORxPVWN3TuNGq1Q4ienp5MVzWmW0ng7bffBoIk0ArEtplasoqSDpuQMAxQkWEb0X/cTeIqEcanWmTMPMixY8dmeaXqcRbuMpImvn4z+lC9u3O7oL9SH69tMPQBq0PVshaVGDZuNNbX19fxudeLeA1boad3CtUYtuILO1Qe5iJQrncqDF2RMXYr1RIAUW6OrqHfqZr47z/+8Y9MPBzqaNStM5QRi8uuUzI6JSQMA3QFw+YFVNQzrrzdeajMsR7kGTHKiVO6rXR9xQkM3YRuY9h6yg9VWsNSJIZNSOgidLzyfy0ogg2aSX4easgbczn9tpmAkDjIpRajTiv668bn7hbUGCo74HPqXpeQMIxQkWHzyk22m5XySlG6G5Xu6vEOH4eFxWglIxSJ0nHGqWHxXEtRYjmu+1qGUWpF9lyxHtzb2zsoLS0OdM8bcy0BK6XFBCqNd6ivYSnitar2nIrEsAkJXYSKVuKEhIShhcSwCQldhIo67Mwzz9wHIawwLu/ZCNSDTMfr6enJdKRGz1uqD+TpM4ZKvv/++wOUhzFjxvRBKKlZWtZFxOeKdcb4ms1YZEsiXXLPleeHLeennGWWWQakD8bHfPbZZ03rfqXB9Sak553TpA/H6rNV6X67JpYq/ec//9mR0MRmyu1Ug/fD+/jGG28kP2xCQrej8OD/WmE62WKLLZa1YmzlDpkXJeMcOx0BVKSls1ICe6tYoh2WWtn5o48+6miKZCthuaRPP/00MWxCQrejog7byt3y9ddfB/qbQpnUbpuEZpoF1YuhkpKlTq+u2cg9KOfDi+dXS5EzEevGlZ6HVj4rXj+vTEszzBq3AZ0yZUrD5yoC1Z7HxLAJCV2EjmXryAZjx47NSqNaEnXSpElAa8p21FrAq9QC3ErdyKLc1113HQAHHHAAAPfcc0/d5yqX6VFNvytl1Vi/LcL6XQTKlMhtOltHa7zleB999FEgtBTt1FxTtk5CwjBC4UXYaoVxofvttx8HH3wwAC+99BIAa665JtBYAbJqqLdEZtEwPtfyps7VHV9/sO06LbdZD0rnWIsF1Thg/43bd1Zjm56eHhZaaCGArNyPzKVdQknC+dXSIrTcdaAxhtVGcPbZZwOw6aabAqFguJLNbbfdBvQ3Gge45pprgH79+d/+7d+AUGjQ1iVF2lyqMWzb0+ucrN3bdtlll2wxDRZo5CGthrzUrHYFjvtCHnHEEUCorRynsHl/rKpohfxmr1vLCxv/ptZ7MnHixKy/rT10rU/tmt5+++0D/q5xpc6a0jX/thSLL754VgfaF9T7rMFTNcyOdDfddBMwcGPRIGXlRTs/+JIXQTApvS4hYRihbQwr1dt/xp1swQUXzHYVu4K1M1G5HcaF2WefnRNPPBEIvYfidDThvbByZLMMW0t3PAMSStPlSv/Ng4XcJk2alK2vDKZ6c9999wFwwgknAIGBv/GNbwBw9dVXA6GrXZEwCKG3tzerRmkHuaWXXhqAr3zlK0Bg3Iceeggo795xbd58800Att9+ewB++MMfArDddtsBodZxK5AYNiGhi9ByhpVJ7LVjJ4CllloK6NexdN+oy3rMUAlqaBTu8HvuuWfWTT4vCTt2nWywwQYA/PrXvy50TOWS3g1IqLXv7pJLLgkEvbSvry8zMp111llAYCOZa+GFFwaCsWfzzTcHghHq8ssvb3RKg9xR8efXXnst05UNrrd/rR3g7bWjhFAJntd+Qvvuuy8AF1xwAQBbbLEF0JoAoMSwCQldhJYxrOyyyiqrAPCzn/0MCFY58cknn2Tdt9Vz4o7brSzC1gq4w+uu2muvvbLQtzh8UCnCFMP4c9FW7HLnqZVZtThfccUVQAjn+/vf/571X41ZRZ3Rrg5ey2PVIe1m3oi7J0ZsaS2V1LS+a0vQzXbKKaeUPVb09PQMsqbbPVHYT+rHP/4xAIceeihQ7LOXGDYhoYtQOMPKCPPMMw8Axx9/PADzzTffgN9phTv//PM5+uijgbD7xgWpak19K7Uu17qrtcIPa5/Yr371q0C/3hoza7xL24f0zjvvBMKOXw8qFWHL87HWMm/Pq566yCKLAMGCPX78+IxJq0HrsedYbLHFgMB8jz/+eE3naRTq1DK8eOqppyoeN2LEiOxYpQAt4D63cYyBwTH33nsvUIxNJjFsQkIXoXCG1Td37rnnAiGiR3+g+o+RMc8///ygXd5SIOrB7r7rrLMOECx6+sP8/f33359ZHWtFkczqeO1ju/rqqwP91m+vo266yy67AHDHHXcAoSO7/kjnFo9v1KhRg7rZO2d3+FIUsatr4T3yyCOBwJLjx48H6otMcz4+J0pirmEjqCc5Y8455wSC9KaFvFpaXW9v76BkFO+D4Zh6QCxHpF5ugQb9tc0ktSSGTUjoIhTGsLLL7rvvDsC6664LhJ3svPPOA+DAAw8Eyu/KMofRUJ5L3507lzuqu6PWOPW/TsFxaoEcO3Zs9p3FyQz2f+aZZ4CgHxqHqhVd6+U777wDBCb6+OOPM5ZWb5S1Sq9XJPbcc08grI8RPs3EfFsiSOlpt912AxpLK6wHSmneswcffBDIT46vBWeeeSbQby0HOOaYY4AQa2AE1MorrwzACius0LBklxg2IaGLUJFh62mX5y5ix3B3Y+V1ddZyu7IRTka/aDXWshyXxlR3U2drNt62USg9aA0+55xzgMCOore3N4sNzosz1Uq80korASET5MknnwTC3B988MFcX2XRjZm97zKsqXJaPZuBc5DZWr2G3j/jAtT71TtribnOg3YCrcKWPzI1z+weGXeDDTbgj3/8Y0PXSgybkNBFqMiwtTRS8jfqpnEDrf/+7/8GgtWzHEx+3nvvvYHgx4ytnjHTe41W6z0xZFb1TaUKfXuxP/Tss8+umsGhX9JoGfVh74G+vr322otLLrmk7DlqjViqFa5DbNkuwrLuvGTxWnJJ8zKcaoHPqWv32GOPASEJvcgyQHoxvvvd7wIhC805X3jhhRnr1ouKd6AWl4A3XHO5i6no68NVaZHXX399IARixy+q4os33RdCcbEVtZ/KwcVWvL3ssssGfI6DI3TGazwrB+e6zTbbAKHSRHwPNLjtu+++2XUbTTivBjceXU7e76effrrpc3uPDMJ3TXV9VIKGzRi1qG6+IOPGjQPgP//zP4EgircidFWDVvwevfrqqw2fM4nECQldhKbdOoqlmrQ1uChqVAtkmGmmmbL0pNh5LnOa8iT7+FmRo12B/bKDxoMlllhiwN+FO+oyyyyTOz4lk4MOOggIbo48sc9z7Lbbbi2vcO/YZDTX8rXXXmv63KYXxupWLWltec9SLaqbDOt1DJRo5b3UoGYwjHWlTHZpBIlhExK6CE27dTSHG8SuocLk5jxzuefeaqutBqXcCZlKfcfPhsiZstVqOFb1dJO042R052plvnI2AFnLIl+GL8bF2GJstdVWQHtcWBdffDEQyrloEGomuMD5/fSnPwWCnmywfy1ulbznsJZEccfufY9DEVuRBKLkpTvM59gayA2ds/lhJSQktAsVGTbulVqpV6kWRUMSDQFbddVVAXjkkUeAEAwhS2655ZaDrH9eR33Yz5deeikQQsHaVULG6y+66KLA4BBAgwAmTpwIBOtxKSyrYviku201aJm1WFkr4VrecsstQH8IHcBVV10FNMc+Pgc77rgjEHTHb37zmw2fsx54v53TfvvtB8DJJ58MhFDRZqSIGNojTJ4Q1aSpSkgMm5DQRajIsLUkjqs/qLeZQuSOdvPNNwOBDWXTUv0vDjSI9Qkdz5ZGLaKMSD2IS744B8dngL6WyH//938HgtV78uTJWUJDtd3Vc8pyprC1A45Nn6/zMsigEWjTuPHGG4HAOiZsPP/88w2fux6o+9u/acUVVwSCpV/mV99sxnqsNVgWV1/Xyq1HpRyqlfhNDJuQ0EUorD+skU2mlsm4+iJlpXrkd0tRxm0f2o1Yh40lAHuu2IbD9Kp6zq3U8POf/xwI/tl2dhVXknj55ZeBcP9lx3qgdBEfe8YZZwChdFC7fOj69K+88kogFDLXtrDrrrsCwQNgKK2sWMs4ZdbVVlsNICtt6zPv9zvuuCP77LNPQ/NIDJuQ0EUovAO7hancZUydc5exRYI+vq222ipLiJaFTcw2xaxTzCpKe9nC4M7k5UqzVIO6v/7q4447DgiM1AizNmN9LL1m3B9WfU/mLWed99qTJ08GYMKECUDw4Z566qlAmGcj8yuihctvf/tbIHgzlI4snCYrWuLIePC77rprUKSV49HzoVRkEXh1V+eqFHX66ac3PP7EsAkJXYSO9YcthalkhxxyCBBkfVPNqhXIqgeN9IeVYU2sN2WwHkZzl1WXsmi6TbL8ezM6XUlMbTbHESNG9FU7r0yh5d7GUWYQOX997b/5zW+AUGBvqaWWysqVmiopG6nXWyJIy3MjbSya6Q8rlIZkQe0jxqV7D1wvpb6PP/44K/Pj37wvMqeF5ZQqTWR/9tlngRCtVsvzHD+nIjFsQkIXoSLD1rI7Fwkjm/TRGXfaSP5gXmxoMx3Y3UHV5aoVPfPa06dP55e//CXQn7wMwS9o9kgj9zjOEhKl3burza+npye7tsyx2WabAWTtN2QMdVcZRUlo1KhRGWPqx9x5552BwTHlzTxLRTCs8N6ZmWQROKUombj0Hsc6fun6QvAxu7Zano3yqycyLzFsQsIwQEWGHTVqVB+0v+2j5WaMcLLJbi27szui/8aNtYrYnS3kpU/P+6OF18LSZqIU7UuNrdPGv/r3Uh22nvnFuuy8884LBD3bMp1xeZOXXnopa7WoNVjrcGxRr2cN4xh2/14qQfzr3C0TAUt9qEoJ6623HhB8uN5/dVaf21rbl5RDHsNWfGFHjhzZB+113kMouaJybkXBaujp6RnUl8eXyRs/bdq0ti12q+Ac45dAkfaTTz6p+sKWE/UaHUfpGOodcz0icjmj2r/O2XVrWA1JJE5IGAaoqWpiuxlWZrW0Rj2IDQHx34cD8tip3DrliaJFrGk997TRjoSlaLdqNhSRGDYhoYtQUYcdPXp0HzTm5B5qKNLoNFRRzigz1OZXRCmWZlxz3YKkwyYkDAMU3h+2Fai2K5daK2WZOFA8L8hAy2qnEwziOcafS10d/j+uZl8uVDK2zjaju1ZahzgQwesYoph3/yudK/4uL/i/FQXUhioSwyYkdBEq6rAJCQlDC4lhExK6CBV12BlnnHGAlbgV/tjS4PO42ZV+tyKlgNj6NsMMMwwIv4z9hRDmXc0PWCnB2u8MmDfszygudT3vdVFW1HnnnbcPQlpbyW+A/jnFCet1XKfhMTaDeA3HjBnTByFE0CB816vSujXiS652TF5oZenxeefK82Zk5655tAkJCR1HYcH/RVjq8uKAi0S8O8fx0rFVtfT/jUTnxFCKMMDeVLUipZfSOY4dO7YPBveO7WbbRbyGSoKxpX84zVEkhk1I6CLUla0Tx4GWPeEQ94lVY9gY9WSkDBWUzrFbotXqeW7iNWx3oYV2IDFsQsIwQE2tOvI+l0MRu1wtTN4qlLOUdvPOXURp0FZCXX7ttdcG+q3ZtrKIy+fkzaWVNo92I7XqSEgYRhhSscQWdX7yySeBUITt2GOPbdk18+JWu5lVSzFUWUdmnTRpEgAbbrghALfddltWZsZ86Gr++E5IYhDYUMu/bSVtJmYLy9hC3wyG1AsbB68bZNBKNFKqpJsw1ERi62HZe8lN+he/+AUAF110EW+//TZQ+2aTlyhR5Ivc09PD4osvDgwmEDsMWvVTSDj/8z//U/N4qgZl1DbchISEoYAhxbB247YOrlXnhrqrSOSxWWlKXKOM3ug9yAt9a/W9dL72ypVlllpqKQDGjRsHhA7z1kB+4YUXGp6j1ywpRtfo8DMYQnrPPfdkPXRELAHEKYR77bUXEDrhWX2ymVTOxLAJCV2EIdFbx2DtK664Agh9T6yD+8QTTxR2rXoDJ+rB5z//eQAWWWQRIBhNnnrqqWz3tZawO7cJ3/bXjZMBVl11VSD0M508eXLV4nSlc+xU+ZS7774bCF0MDcy3a4Jd5OwSV88at6JETNxd8bTTTgPgy1/+stcYdIxMadFAOzLK8CXjBQLjL7300rzwwgtlx5GC/xMShhGGlA67wAILAGE3LtIcnqdfFsGssuYBBxwAwHbbbQfAww8/DPT3uXUHP+qoowD43ve+BwTpwv5BdlFzB5ZptUA+9thjGSu/9tprQLC8Vuv10w4cfvjhAKy++uoD/i6z/uAHPwDgL3/5C8CgnqudgvqpvVsN5KhkZSFKEbcAABWYSURBVJdJXX/dOD7HunfiTg033nhjptvXq68nhk1I6CIMCR1W3U89xp1Lv9cbb7xR2LWKDByXHZdYYgmg34cI8MUvfhEIO+uUKVMyhswrEhcn0NsvVp3WznneKwgB/fZp1Rr54osv1tW9LkYj90K7g71j1deOP/54AH72s58BzfWbKRlfYd3rVlhhBQCuvfZaINzfWnr/KglefvnlQJAuDjvsMCD0g5VZvdcffvghc845JzBYwsjrH5R9X3VUCQkJQwZDQofddtttgeB/Vd9pB5rxS8pwX/3qV4EQmubflRTmmGOO7PxaFmVUd2mhfupOa7RXaQsSg+K33nprAB544IG651AEszrGk046ie9///tAYIwzzjgDgFNOOWXA34cK1lprLQAuvfRSIPiFK/nSXbNHH30UgIMPPhiAm2++GQjrfuuttwLwrW99a8A5vb8ffPBBbhRXNZtKYtiEhC5Cxxm2p6eHiRMnAmEXtgv2W2+91fLrFxHxY3tM9dS4pMzUqVN57LHHgBDpI/saBO+/HqOUcc455wDBX/nee+8VkoxeRJmbW265BejX2dW1zzvvPCBYge2h+re//Q3ofMH2eeaZBwjj9HM1L8KHH37IddddB8Cee+4JBPuCx+qH1YahjSPGpZde2vAaJoZNSOgidNxKPHr06KxTuX6r5ZZbDhhcmrMZtLIZlgyrLhlnGU2fPj2LTlJPd4eVcWSta665Bgg+3VdeeaXu8RQd6eS901L94IMPArDQQgsB/f5mrcHPP/88EPzMs846KwAnnHACEPS/ZtCIlVhL7b333gvA8ssvX/H36pj+fuLEifz1r38d8J1Ql5dZ1d/1j/u9lv+FFlooi46KISvHjceza1UcdUJCwpBCx3XY0aNHZ9ZVrW1FWhTLFQYvGrLgQw89BIT4WVlz1KhRGdMoNfzkJz8B4KabbgLC7mu0TKeSssthwQUXBMJY/ewYZ5tttixCS5/5pptuOuA3xkRrOX3qqafaMXSgf+2NEZ5//vkr/laJU5uDifVTp07NXRPZe9dddwVCPHKsF5uZZNx4OVRb946/sAcddFBmgPnd734HFPvCugCteAHcBDbbbDMAFl10UaC8q8j/77PPPgBccsklg34zVKABTHeVYzXZXFeUtZdee+21zNV0xx13ACFwwhA/EyJM/t5mm22A+qo55hmGFCPjc7lh7rfffuyxxx4AfO5znyt7DtfBl0q3z9SpU6uO5zvf+Q4QEjRUe/xetWfLLbcsO85y48hDEokTEroIHWNYd8X11lsvY9T77rsPKL60B+SLxO7CjdQ+2nzzzYFQ7kRjU6krAPrn6nw1ugxFZlXSMYhA95ruCuclm26yySYAPPfcc4MS8w3TVDT2Hn3ta18DQjhnPWl1eWuYx7wGoXzlK1/Jdd84Jw1pjq8WZl1zzTUB2H///YEggcTjdI4meFRCqpqYkDCM0DGGdRdaaqmlMpm+FdXp47IhMRph1gkTJgAhqMFzy6hrrLEGEBzrp556KhtvvDHQL1FAMe6NomBanoajH/7wh0Ao7+I9Mp3vrLPOAuDZZ58FyksL/s0EDiUM71EjqZN5gQjxc+PvNP4sv/zygwLwhQXflAQqGYSERlKDLxZbbDFgcMKAerwhjEVUsEwMm5DQRajIsK2s2WuQRG9vb7bbvvjii02fN0bcK7QI3HXXXWXPre4X79I77bRTlvq2xRZbACEovtWoJblBG8K7774LBCvx66+/DpAFDFi2U5dHuXPKMuussw4Ae++994DvDbZvJMEjL6wxr8yprrL33nsv01VjFtQV528rQUnkyCOPBAan4sUhqc7VkMYa+wZV/D4xbEJCF6Eiw7ayyLY78JgxYzKLXCuC/YsodRnD3dgd1XHn6T99fX3ZPTRxuV39g2phWK2p6tfqZDLuBRdcAASmjfXPkSNHZucwkWPfffcFgoVZVjaRvZF5580h/rtMbDjobLPNNshy6/X1TKgHx7+TPeeYYw5+9atfASEwRsaNUyd///vfA8EWUI90lxg2IWEYoSkrcU9PT8MFsbfffnugP2pG62MrUWTLCsMLZe9qvX9mnnnmjJXVC7VaFlEyRTSalK6EE0fmPPfcc0AoPaM13BTBHXbYAYD1118/kxxMCPC66qr+1nO2El7b5+qcc87h0EMPBQJjunaycGyBVo9fccUVATjiiCOykqd5ZUwthm40WyNrm/ywCQnDCDXpsI1+Xw5zzz03ECJdpk2blqWUDcXon0pQx5trrrmAwfqiu/a4ceP43//9X6A/6gZC3LGJ3c3M3euW81PWc16Pl3XUP43kMXDewmUyzWeffZbphMYZW4zNY00KaKSMTWz9jVFNtz3rrLM46KCDyp5D1rSsi5KCcb9Gs80555y511f/1d/ajNSUGDYhYRihJh22iAZK6g7rrrsuEOIu33vvvYypugWyiP7LHXfcEQhWQ1PHjKKZMmVKFnfqv7ZXtDyo8bn1IC6ZagpfKWpZO8/jGnmeuPVIabogDIyZtqevTa/uueee7LtaUBrznTfWvGi1apg6dWqmp2s70KqttGDrFC3lRrM513LMJ7P+8pe/BIotuJCHxLAJCV2EigxbpGXV3dld2d1o1llnraloc6NoZUNjmdUdVr+bVlX102WXXTbLFhHqsO709SBurKWfr9EG2DKayfNKDo7Nzy+99BIQiq9deOGFQH82ij7oeiPK4myqUs+D38URRPXigw8+yCQbfaTGOLsudn1XSqpU8EALsxk+WocbQSwBJT9sQsIwQkWGjXNFm9FlPdbdWh/ZuHHjMt+dOkqRpTBbaXnWsmjzqxtuuAEI1lWLcJVWOXA8lgGt1obEe1K6FuqWsd+0Uchc+pONgbXixFVXXQUEyaFIxBVByjFss2vY19eXSQ/LLrssEFpzjB8/Hghx4DEc1/Tp07NzXH/99QCcfPLJQKi80Wwhd6heyqhi1cRRo0ZV7J1axMswYsSIttYvakVvUW/++uuvD8Buu+0GBOPNkksumZVOsXtbtZdMY4cV9a3yN2XKlGwDvf3224EgqpbUXup4f9hmEIvCsZvs008/LWwNd999dwAmTZoEBLVCw6IursMPPzwrlaOBsAhXXK1zFEkkTkjoItTEsEWmpnUarWDYVsI0REPl5pxzziyAwbA/WUFX2a233prNcYYZZii7hkOpKmOtaGVt6VYgT6SvFEKautclJAwjdLzMabvQStdRK6HD33+nTJmSGT9i9045g0VeEbpWpk62Ct00VqgtHTCvKFweEsMmJHQRKjKsLoU8HbaR9LpakGdBi68Vl2gpN5ZqgRO1nKPW8RpooIWxdLds9D55Tp31fX19g+6PCRXqsKUwMMDABsdkut/IkSMHja0TNovShP5YKnB8eVJSK9yBRSAuUlA6nzyJJwX/JyQMI1S0EickJAwtJIZNSOgiVNRhi4h0ivUtdUZ9hx999FH2nbqI8r16V5FSQOyHHT16dB+EVKlK4XDVQuXi7+O5Q7iX6qbeh7zg+UbmXjrHmWeeuQ8G6sB5KDfeUtTju41T/4rUi+M1HDt2bB8MbqJWOtd2+p3j+1fPGiY/bELCMEJFHXbEiBF9UCzDxUw7ffr0QaVNWmnti3fnVsyxFsSW0FYxUD1RQM0wQ4zZZpsNCNboIhkuXsMZZ5yxDwZ3sy+Vmjphq2mmlG08x+yczQ0pISGhnWg7w3Ya8c41cuTIinp6N6JRhi0SeU2Wi0C9UlK7GTYuudNIHHdi2ISEYYCOxRIXlZzcLIYTsw4ltIJZ81DtWWr3M2Y2lTq1ceBGwDXTPiYxbEJCF6HtDOtuOGbMGKDfdzac8m2rwfxWK0jYYCr2IXY7bA5tydf777+/ZdeKpaR2S2/qqj/60Y8AOPDAA4HQ0HurrbYCimni3TGR2FIpiy++eGb6d4LW2TGYwH6sVqerpZfnUMLo0aM599xzgdBTSCgm2a/mhRdeaOvYioYPr3WX/WxFyTPOOKPscSboT58+PVdNyQvoiF/QuEJnq9Qex3zxxRcDoYaXBGSBAdWDItSEJBInJHQRmuqt0wjiXXDrrbfO+pmIOK3KPic777wzEMQs+3X+4Q9/AAJbdQrWtFUEUopYbbXVcmsGu0tb2/jrX/860H1ShFh66aUHfHYtrTBohwBrGwvZpxIb1mpUaiZVshZYBdO5WEDg6aefBuCEE04AQmXQRro65CExbEJCF6FjOqzdzQA23nhjAJZbbjkg7EiGt1kP99577wVC/xN7d1599dUNj6MIA4XnsAeppTMN8O/t7WXKlClASHDQ6OaxyyyzDBCMNWeffXbT4yo9f6sNMF7H3jpxgrafv/SlLwFw9913A8HYVnDoYmHnKoVMqj5uGVuvd+ONNwJw0003AbD22msDsM466wBB121mrolhExK6CB1jWKuln3zyyZx00kkDvouLKsf9TuyPUkQ37yJ2Y3dee7+qQ8keTz75JCeeeCIQ5nL88ccP+OxubQ+Y8847D2hvAEIzUHJQ6ontEBY7t+K+9oZOB87UirnnnjuzM1gwXqnixRdfBPo7vUOYk71ln332WQCuvPJKYGBHv1pKoJYiMWxCQhehYwxbS5lNd+mNNtoI6LcoQ+jpaRd3LbCffPJJR0IN1bUthmYLDXWZG264IdtlLYp29NFHA4PTDTfZZBMg9IB5+OGHgfqKBXQC9rnVn+xYtHZvu+22ADz00EOFX7uVerrP1tZbb535WQ05tC+SzPnqq68Coa/ukksuCQTpyVYqzzzzzKDnP074z0Ni2ISELsKQLCTubmMolzuTvtuPPvoIgOeffx4IumKn9CGvf/DBBwPBL1wueVt9x05322yzDRB2VgPF7YBXz5zK/bZd90Q7hJKC15V97NbXCrRijkpCf/7zn4F+prXfr/YI/a4+j66hUoYF3x955BFgYBmgeMw+I9UK3ieGTUjoIrSdYfVNalldeOGFmXfeeYHge/Szu41MpZ/rsMMOA+rT71oJWxLaV7USHOt9990HBL1cvejHP/4xQNaeslm0ww+70EILZR3l46JrRv10C0yNu+CCC4DwLO60005Zn1wZVVjAfcKECQB84QtfAEKXd3Va46hrsdvkfl/jPBISEoYA2saw7hxa3dx9LrnkkkG7s1Dm1yrc7ZksEO6DO7m7rZkdl112GVCc/7Ud0sd3v/vdQbqX0Wlax4cqfObWWGMNgKxpsxZ/Y55fffXV3Fj1d955B4AzzzwTCPHgNuM2Xlz7RSUkhk1IGEZoG8Mqx6urPfbYY0B/ZIwRQmbjbLHFFkDQd43DHQ7Q+jtu3DgAbr75ZgCOOeYYoHsimyCw06677pr9TYu5jKWUVOT1ioSSwXbbbQfAfPPNB8Cdd94JBH/5BhtskMU/5xVc0NJrfIBRbP6+FntCXPJ30PcVvy0AigMOxMD+0goL1113HQDXX3/9gN/4whoo/+677zY8jk4GFUAQdQxJdJMyRfCBBx4AuqvGlAkLqjQAv/71r4EQilgkihTv4+RzUzh9uSZOnAgEMfbBBx+smr7pM+aLKhSZK62tG4cVSfKQROKEhC5CyxlWEVijSiW4A+msNj1JR7QJwY2g0x3YF1tsMQC+/e1vA4FxdVkVKTq2GjKJZW8guDr233//ll+3CCi9me4nsx555JFASE6pZV0cl6GIGp08pwUXakFpYkA5JIZNSOgiFMawOo81Llk+oxG9w6D5lVZaCaiNnauhk8acmWaaKQv6MBDcnbuIpOZ2w7C90nIw6nrqa61AEQyrW9GwwbnmmgsINhWLxxnYUwlKbT6nv/3tb4FguJItTburhGpd5kVi2ISELkJhDKvF0EB9d6x6gh1Mgta9Y/ieu2G3QT3p6quvzu6LO6m7cRHSQ7sQF1TTovnZZ59lFv5WBmrU2pe3EkyFVBLQZWgShtbtSmyux2P22WcH+ovsQWBrjzUs0wSISlDCqqYzJ4ZNSOgiNM2w7ibK3rH8XtMg/rVjmU7nTrXhhhs2O7yOQCbSirruuutmf9OXfNxxxwGdL81aD77xjW8M+Lc0JdDSL61EXtheLczq82mROEMPL7/8cmBwIkmlc1rmVN+txfd8jg3L1OdeT2eLanNJDJuQ0EUoTIdda621gJCo/Pbbb9d03CyzzJJZGNVhTZ8rMtjfaKl24JBDDgFCQfGRI0dmVmr1cv18RaJV0VxaTI899lggRAnJBldddVXWI6iVKEI/VsKxVM3kyZOBfCu9rDn//PNnFmb19bg4oC1lbMdSj5RZKxLDJiR0EZpmWHc99bV99tkHgN122w0I6Ur6Id2dTZm75JJLMmubgdZx2dNmEOvYrcQiiywChGgf59rb28sTTzwBwN577w0MToIeyjAh2/nFBdZOOOGEwvyvlbqlNyNB+Iwp+VlAzUg8nw/XbN999wVCY7YFFlgg86F7Lr0Xdqv705/+BAy2S8TjriQppCJsCQnDCIXpsLaKtIjYt771LSDEztp1uhzjWbTs8MMPB4rRVbxOOxhWPUe/W5yt8e6772Z6jYW8WtlorBTNlIhRd91pp52AwQXW9FkuuOCCmQTRiYiyWuZoP16zpGwPYwldj9VPGz8vfX192bP9+OOPA+G++Nm5Ox51W+9b6fd51uiUwJ6QMIxQeLbOpEmTgJCEbrxpaVQMBB1uyy23zGKHW8E6rSxC5rl33HFHYLB/0h31gAMOyEpdtrtgnDt2I13uZVgZwrXznMaNL7vssllOcyuRN4da7qlWYdfBdhsWFMhjNvXRl19+OfPhao/R4px3fe+b5yi9RiwBeo5qMeWJYRMSugg9VSxWTdOBmR36JPVD3n///UDrGMfdzH/VK6dMmTLADNfMHN1BzcawzIhzOu2004B+y3mR88yzOvr3zz77LPvBiBEj+kp/Uw+8dzKtfkbbgmpxXXnllXnllVfqPn+j6Ovrq3sNvTf64y0va2sUY70tpGb8ryxaTzZVrMPGJWJKv4vLwvr36dOnlzUXt/yFbSfKiRzeaEXy999/v7AXVnjuzTbbDAhGtGZK2uShp6dn0AvrHMu9sK1cw3b1no1R7YX1OehUymIt9yVv09XYlffCJpE4IaGLMKwYtqenJ3d3deeaNm1a4QzbTowYMWLQHDvFsO1GufkBjBw5su9ffx/wu053hKiEvDHmzVEkhk1I6CIMye51jaKvr2+Q68HPQ3m3rQWlO3Ke073owImhhrw5xNJUN8w1b4wpvS4hYRihLoatZH2zHIrB1I046otAPEYZxtSobkFsRVQHL7cDxyFw5b7r1Hq0AwblG4zjXItm2nLhipCvO8efSwNQ4t/ErqA8JIZNSOgiVLQSJyQkDC0khk1I6CKkFzYhoYuQXtiEhC5CemETEroI6YVNSOgipBc2IaGL8H9mEn9K1+nSHQAAAABJRU5ErkJggg==\\n\",\"text/plain\":[\"<Figure size 288x288 with 16 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}},{\"output_type\":\"stream\",\"text\":[\"\\n\",\"Iter: 2250, D: 1.178, G:1.582\\n\"],\"name\":\"stdout\"},{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 288x288 with 16 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\\n\",\"text/plain\":[\"<Figure size 288x288 with 16 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"ccGkOUt71NpJ\"},\"source\":[\"#### Latent Space Interpolation\\n\",\"As we did with our VAE, our final test of our trained GAN model is to perform interpolation in the latent space. We generate random latent vectors $z_0$ and $z_1$, and linearly interplate between them; we run each interpolated vector through the trained generator to produce an image.\\n\",\"\\n\",\"Each row of the figure below interpolates between two random vectors. For the most part the model should exhibit smooth transitions along each row, demonstrating that the model has learned something nontrivial about the underlying spatial structure of the digits it is modeling.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"_2ZPwZIDwL0l\",\"colab\":{\"base_uri\":\"https://localhost:8080/\",\"height\":683},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1615499452924,\"user_tz\":-60,\"elapsed\":6678,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"4bb750ab-9e66-49b7-f5ac-246f9fdfea2a\"},\"source\":[\"S = 12\\n\",\"z0 = sample_noise(S, NOISE_DIM, device=device)\\n\",\"z1 = sample_noise(S, NOISE_DIM, device=device)\\n\",\"w = torch.linspace(0, 1, S, device=device).view(S, 1, 1)\\n\",\"z = (w * z0 + (1 - w) * z1).transpose(0, 1).reshape(S * S, NOISE_DIM)\\n\",\"\\n\",\"x = G_DC(z)\\n\",\"show_images(x.data.cpu())\"],\"execution_count\":44,\"outputs\":[{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 864x864 with 144 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"8QydfzS7Y1Dx\"},\"source\":[\"## Final Check\\n\",\"\\n\",\"Make sure all your training results (loss + images) are saved in the notebook. You can run \\\"Runtime -> Restart and run all...\\\" to double check before submitting\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"qwS9yIh9RfvG\"},\"source\":[\"# Submit Your Work\\n\",\"\\n\",\"After completing all the notebooks for this assignment, run the following cell to create a .zip file for you to download and turn in. Please MANUALLY SAVE every *.ipynb and *.py files before executing the following cell:\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"V_1_-tM5RrWG\"},\"source\":[\"from eecs598.submit import make_a6_submission\\n\",\"\\n\",\"# TODO: Replace these with your actual uniquename and umid\\n\",\"uniquename = 'BENAMARA'\\n\",\"umid = 'NOid'\\n\",\"make_a6_submission(GOOGLE_DRIVE_PATH, uniquename, umid)\"],\"execution_count\":null,\"outputs\":[]}]}"
  },
  {
    "path": "eecs498-007/A6/vae.py",
    "content": "from __future__ import print_function\nimport matplotlib.pyplot as plt\nimport matplotlib.gridspec as gridspec\nimport numpy as np\nimport torch\nimport torch.utils.data\nfrom torch import nn, optim\nfrom torch.autograd import Variable\nfrom torch.nn import functional as F\nfrom torchvision import datasets, transforms\nfrom torchvision.utils import save_image\n\n\ndef hello_vae():\n    print(\"Hello from vae.py!\")\n\n\nclass VAE(nn.Module):\n    def __init__(self, input_size, latent_size=15):\n        super(VAE, self).__init__()\n        self.input_size = input_size # H*W\n        self.latent_size = latent_size # Z\n        self.hidden_dim = None # H_d\n        self.encoder = None\n        self.mu_layer = None\n        self.logvar_layer = None\n        self.decoder = None\n\n        ############################################################################################\n        # TODO: Implement the fully-connected encoder architecture described in the notebook.      #\n        # Specifically, self.encoder should be a network that inputs a batch of input images of    #\n        # shape (N, 1, H, W) into a batch of hidden features of shape (N, H_d). Set up             #\n        # self.mu_layer and self.logvar_layer to be a pair of linear layers that map the hidden    #\n        # features into estimates of the mean and log-variance of the posterior over the latent    #\n        # vectors; the mean and log-variance estimates will both be tensors of shape (N, Z).       #\n        ############################################################################################\n        # Replace \"pass\" statement with your code\n\n        # Define the hidden dimension as shown in course's lecture example.\n        # Source: https://web.eecs.umich.edu/~justincj/slides/eecs498/498_FA2019_lecture20.pdf\n        # Slide: 12/120.\n        self.hidden_dim = 400\n\n        # Define the encoder: A three Linear+ReLU layers neural network.\n        self.encoder = nn.Sequential(\n          nn.Flatten(),\n          nn.Linear(self.input_size, self.hidden_dim),\n          nn.ReLU(),\n          nn.Linear(self.hidden_dim, self.hidden_dim),\n          nn.ReLU(),\n          nn.Linear(self.hidden_dim, self.hidden_dim),\n          nn.ReLU()\n        )\n\n        # Define the mu_layer, with input (N, H_d) and output (N, Z)\n        self.mu_layer = nn.Linear(self.hidden_dim, self.latent_size)\n        # Define the logvar_layer, with input (N, H_d) and output (N, Z)\n        self.logvar_layer = nn.Linear(self.hidden_dim, self.latent_size)\n\n        ############################################################################################\n        # TODO: Implement the fully-connected decoder architecture described in the notebook.      #\n        # Specifically, self.decoder should be a network that inputs a batch of latent vectors of  #\n        # shape (N, Z) and outputs a tensor of estimated images of shape (N, 1, H, W).             #\n        ############################################################################################\n        # Replace \"pass\" statement with your code\n\n        self.decoder = nn.Sequential(\n          nn.Linear(self.latent_size, self.hidden_dim),\n          nn.ReLU(),\n          nn.Linear(self.hidden_dim, self.hidden_dim),\n          nn.ReLU(),\n          nn.Linear(self.hidden_dim, self.hidden_dim),\n          nn.ReLU(),\n          nn.Linear(self.hidden_dim, self.input_size),\n          nn.Sigmoid(),\n          nn.Unflatten(dim=1, unflattened_size=(1, 28, 28))\n        )\n\n        ############################################################################################\n        #                                      END OF YOUR CODE                                    #\n        ############################################################################################\n\n\n    def forward(self, x):\n        \"\"\"\n        Performs forward pass through FC-VAE model by passing image through \n        encoder, reparametrize trick, and decoder models\n    \n        Inputs:\n        - x: Batch of input images of shape (N, 1, H, W)\n        \n        Returns:\n        - x_hat: Reconstruced input data of shape (N,1,H,W)\n        - mu: Matrix representing estimated posterior mu (N, Z), with Z latent space dimension\n        - logvar: Matrix representing estimataed variance in log-space (N, Z), with Z latent space dimension\n        \"\"\"\n        x_hat = None\n        mu = None\n        logvar = None\n        ############################################################################################\n        # TODO: Implement the forward pass by following these steps                                #\n        # (1) Pass the input batch through the encoder model to get posterior mu and logvariance   #\n        # (2) Reparametrize to compute  the latent vector z                                        #\n        # (3) Pass z through the decoder to resconstruct x                                         #\n        ############################################################################################\n        # Replace \"pass\" statement with your code\n        \n        # Pass input images \"x\" to the encoder. Output shape is: (N, H_d)\n        encoder_out = self.encoder(x)\n\n        # Get the posterior mu from the encoder's output. Its shape is: (N, Z)\n        mu = self.mu_layer(encoder_out)\n        # Get the posterior logvariance from the encoder's output. Its shape is: (N, Z)\n        logvar = self.logvar_layer(encoder_out)\n\n        # Reparametrize to compute the latent vector \"z\", of shape (N, Z)\n        z = reparametrize(mu, logvar)\n\n        # Pass \"z\" through the decoder to resconstruct \"x\", the \"x_hat\".\n        x_hat = self.decoder(z)\n\n        ############################################################################################\n        #                                      END OF YOUR CODE                                    #\n        ############################################################################################\n        return x_hat, mu, logvar\n\n\nclass CVAE(nn.Module):\n    def __init__(self, input_size, num_classes=10, latent_size=15):\n        super(CVAE, self).__init__()\n        self.input_size = input_size # H*W\n        self.latent_size = latent_size # Z\n        self.num_classes = num_classes # C\n        self.hidden_dim = None # H_d\n        self.encoder = None\n        self.mu_layer = None\n        self.logvar_layer = None\n        self.decoder = None\n\n        ############################################################################################\n        # TODO: Define a FC encoder as described in the notebook that transforms the image--after  #\n        # flattening and now adding our one-hot class vector (N, H*W + C)--into a hidden_dimension #               #\n        # (N, H_d) feature space, and a final two layers that project that feature space           #\n        # to posterior mu and posterior log-variance estimates of the latent space (N, Z)          #\n        ############################################################################################\n        # Replace \"pass\" statement with your code\n        \n        # Define the hidden dimension as shown in course's lecture example.\n        # Source: https://web.eecs.umich.edu/~justincj/slides/eecs498/498_FA2019_lecture20.pdf\n        # Slide: 12/120.\n        self.hidden_dim = 400\n\n        # Define the encoder: A three Linear+ReLU layers neural network.\n        # The encoder's input has shape of (N, H*W + C), i.e. The flattened images and their classes.\n        # Note that the concatenation (between images and classes) is done in the \"forward\" function.\n        self.encoder = nn.Sequential(\n          nn.Linear(self.input_size + self.num_classes, self.hidden_dim),\n          nn.ReLU(),\n          nn.Linear(self.hidden_dim, self.hidden_dim),\n          nn.ReLU(),\n          nn.Linear(self.hidden_dim, self.hidden_dim),\n          nn.ReLU()\n        )\n\n        # Define the mu_layer, with input (N, H_d) and output (N, Z)\n        self.mu_layer = nn.Linear(self.hidden_dim, self.latent_size)\n        # Define the logvar_layer, with input (N, H_d) and output (N, Z)\n        self.logvar_layer = nn.Linear(self.hidden_dim, self.latent_size)\n\n        ############################################################################################\n        # TODO: Define a fully-connected decoder as described in the notebook that transforms the  #\n        # latent space (N, Z + C) to the estimated images of shape (N, 1, H, W).                   #\n        ############################################################################################\n        # Replace \"pass\" statement with your code\n\n        self.decoder = nn.Sequential(\n          nn.Linear(self.latent_size + self.num_classes, self.hidden_dim),\n          nn.ReLU(),\n          nn.Linear(self.hidden_dim, self.hidden_dim),\n          nn.ReLU(),\n          nn.Linear(self.hidden_dim, self.hidden_dim),\n          nn.ReLU(),\n          nn.Linear(self.hidden_dim, self.input_size),\n          nn.Sigmoid(),\n          nn.Unflatten(dim=1, unflattened_size=(1, 28, 28))\n        )\n\n        ############################################################################################\n        #                                      END OF YOUR CODE                                    #\n        ############################################################################################\n\n    def forward(self, x, c):\n        \"\"\"\n        Performs forward pass through FC-CVAE model by passing image through \n        encoder, reparametrize trick, and decoder models\n    \n        Inputs:\n        - x: Input data for this timestep of shape (N, 1, H, W)\n        - c: One hot vector representing the input class (0-9) (N, C)\n        \n        Returns:\n        - x_hat: Reconstruced input data of shape (N, 1, H, W)\n        - mu: Matrix representing estimated posterior mu (N, Z), with Z latent space dimension\n        - logvar: Matrix representing estimated variance in log-space (N, Z),  with Z latent space dimension\n        \"\"\"\n        x_hat = None\n        mu = None\n        logvar = None\n        ############################################################################################\n        # TODO: Implement the forward pass by following these steps                                #\n        # (1) Pass the concatenation of input batch and one hot vectors through the encoder model  #\n        # to get posterior mu and logvariance                                                      #\n        # (2) Reparametrize to compute the latent vector z                                         #\n        # (3) Pass concatenation of z and one hot vectors through the decoder to resconstruct x    #\n        ############################################################################################\n        # Replace \"pass\" statement with your code\n        \n        # Flatten the \"height\" and \"width\" of the input batch 'x'.\n        # Input shape (N, 1, H, W). Output shape: (N, H*W)\n        x_flat = torch.flatten(x, start_dim=1, end_dim=-1)\n\n        # Create the encoder's input 'enc_in' by concatenating flattened images and their classes.\n        # Output shape is: (N, H*W + C)\n        enc_in = torch.cat((x_flat, c), dim=1)\n\n        # Pass 'enc_in' to the encoder. Output shape is: (N, H_d)\n        enc_out = self.encoder(enc_in)\n\n        # Get the posterior mu from the encoder's output. Its shape is: (N, Z)\n        mu = self.mu_layer(enc_out)\n        # Get the posterior logvariance from the encoder's output. Its shape is: (N, Z)\n        logvar = self.logvar_layer(enc_out)\n\n        # Reparametrize to compute the latent vector \"z\", of shape (N, Z)\n        z = reparametrize(mu, logvar)\n\n        # Create the decoder's input 'dec_in' by concatenating the latent vector and its classes.\n        # Output shape is: (N, Z + C)\n        dec_in = torch.cat((z, c), dim=1)\n\n        # Pass \"dec_in\" through the decoder to resconstruct \"x\", the \"x_hat\".\n        # x.shape == x_hat.shape == (N, 1, H, W)\n        x_hat = self.decoder(dec_in)\n\n        ############################################################################################\n        #                                      END OF YOUR CODE                                    #\n        ############################################################################################\n        return x_hat, mu, logvar\n\n\n\ndef reparametrize(mu, logvar):\n    \"\"\"\n    Differentiably sample random Gaussian data with specified mean and variance using the\n    reparameterization trick.\n\n    Suppose we want to sample a random number z from a Gaussian distribution with mean mu and\n    standard deviation sigma, such that we can backpropagate from the z back to mu and sigma.\n    We can achieve this by first sampling a random value epsilon from a standard Gaussian\n    distribution with zero mean and unit variance, then setting z = sigma * epsilon + mu.\n\n    For more stable training when integrating this function into a neural network, it helps to\n    pass this function the log of the variance of the distribution from which to sample, rather\n    than specifying the standard deviation directly.\n\n    Inputs:\n    - mu: Tensor of shape (N, Z) giving means\n    - logvar: Tensor of shape (N, Z) giving log-variances\n\n    Returns: \n    - z: Estimated latent vectors, where z[i, j] is a random value sampled from a Gaussian with\n         mean mu[i, j] and log-variance logvar[i, j].\n    \"\"\"\n    z = None\n    ################################################################################################\n    # TODO: Reparametrize by initializing epsilon as a normal distribution and scaling by          #\n    # posterior mu and sigma to estimate z                                                         #\n    ################################################################################################\n    # Replace \"pass\" statement with your code\n\n    # Convert the \"log of the variance\" to \"sigma\" (standard deviation).\n    sigma = torch.sqrt(torch.exp(logvar))\n\n    # Compute 'z'.\n    # Epsilon is a Tensor that contains random samples from a standard normal\n    # distribution (mu=0, std=1)\n    z = sigma * torch.randn_like(mu) + mu\n\n    ################################################################################################\n    #                              END OF YOUR CODE                                                #\n    ################################################################################################\n    return z\n\n\ndef loss_function(x_hat, x, mu, logvar):\n    \"\"\"\n    Computes the negative variational lower bound loss term of the VAE (refer to formulation in notebook).\n\n    Inputs:\n    - x_hat: Reconstruced input data of shape (N, 1, H, W)\n    - x: Input data for this timestep of shape (N, 1, H, W)\n    - mu: Matrix representing estimated posterior mu (N, Z), with Z latent space dimension\n    - logvar: Matrix representing estimated variance in log-space (N, Z), with Z latent space dimension\n    \n    Returns:\n    - loss: Tensor containing the scalar loss for the negative variational lowerbound\n    \"\"\"\n    loss = None\n    ################################################################################################\n    # TODO: Compute negative variational lowerbound loss as described in the notebook              #\n    ################################################################################################\n    # Replace \"pass\" statement with your code\n    \n    # Get the minibatch size\n    N = mu.shape[0]\n\n    # Compute the reconstruction loss term, using Binary Cross Entropy (BCE) loss.\n    # The \"BCE loss\" have to be adapted to the \"reconstruction loss\" (Expectation) by:\n    # - Changing the reduction mode from 'mean' (default) to 'sum' (used in the Expectation).\n    # - The input to the BCE is 'x_hat' and the target is 'x'. This can be done because we are\n    # operating on MNIST dataset, where each pixel is either 0 or 1.\n    # Note that the minus sign is handled by the BCE loss itself.\n    rec_term = nn.functional.binary_cross_entropy(x_hat, x, reduction='sum')\n\n    # Compute the KL divergence term (kldiv_term).\n    kldiv_term = 1 + logvar - mu**2 - torch.exp(logvar)\n    kldiv_term = -0.5 * kldiv_term.sum()\n\n    # Final loss is the sum of \"reconstruction loss term\" and \"KL divergence term\".\n    loss = rec_term + kldiv_term\n\n    # Average the loss across samples in the minibatch.\n    loss /= N\n\n    ################################################################################################\n    #                            END OF YOUR CODE                                                  #\n    ################################################################################################\n    return loss\n\n"
  },
  {
    "path": "eecs498-007/A6/variational_autoencoders.ipynb",
    "content": "{\"nbformat\":4,\"nbformat_minor\":0,\"metadata\":{\"accelerator\":\"GPU\",\"colab\":{\"name\":\"variational_autoencoders.ipynb\",\"provenance\":[],\"collapsed_sections\":[]},\"kernelspec\":{\"display_name\":\"Python 3\",\"language\":\"python\",\"name\":\"python3\"},\"language_info\":{\"codemirror_mode\":{\"name\":\"ipython\",\"version\":3},\"file_extension\":\".py\",\"mimetype\":\"text/x-python\",\"name\":\"python\",\"nbconvert_exporter\":\"python\",\"pygments_lexer\":\"ipython3\",\"version\":\"3.6.8\"}},\"cells\":[{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"2Vn26lahhFJd\"},\"source\":[\"# EECS 498-007/598-005 Assignment 6-1: Variational AutoEncoders\\n\",\"\\n\",\"Before we start, please put your name and UMID in following format\\n\",\"\\n\",\": Firstname LASTNAME, #00000000   //   e.g.) Justin JOHNSON, #12345678\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"ZsZYgVWdALCH\"},\"source\":[\"**Your Answer:**   \\n\",\"Soufian BENAMARA, #NOid\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"VJZ8AefthL95\"},\"source\":[\"\\n\",\"# Variational Autoencoder\\n\",\"\\n\",\"In this notebook, you will implement a variational autoencoder and a conditional variational autoencoder with slightly different architectures and apply them to the popular MNIST handwritten dataset. Recall from lecture (https://web.eecs.umich.edu/~justincj/slides/eecs498/FA2020/598_FA2020_lecture19.pdf), an autoencoder seeks to learn a latent representation of our training images by using unlabeled data and learning to reconstruct its inputs. The *variational autoencoder* extends this model by adding a probabilistic spin to the encoder and decoder, allowing us to sample from the learned distribution of the latent space to generate new images at inference time.\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"JtA1_PsYhs24\"},\"source\":[\"## Setup Code\\n\",\"Before getting started, we need to run some boilerplate code to set up our environment, same as previous assignments. You'll need to rerun this setup code each time you start the notebook.\\n\",\"\\n\",\"First, run this cell load the autoreload extension. This allows us to edit .py source files, and re-import them into the notebook for a seamless editing and debugging experience.\\n\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"OKXSEQjRh63r\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1615482509288,\"user_tz\":-60,\"elapsed\":1207,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}}},\"source\":[\"%load_ext autoreload\\n\",\"%autoreload 2\"],\"execution_count\":1,\"outputs\":[]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"eIXWSou6h_S6\"},\"source\":[\"### Google Colab Setup\\n\",\"Next we need to run a few commands to set up our environment on Google Colab. If you are running this notebook on a local machine you can skip this section.\\n\",\"\\n\",\"Run the following cell to mount your Google Drive. Follow the link, sign in to your Google account (the same account you used to store this notebook!) and copy the authorization code into the text box that appears below.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"evqEGDXRipC-\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1615482530091,\"user_tz\":-60,\"elapsed\":18934,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"20bb9533-e89f-4ae2-a4b3-f84f1dded8d8\"},\"source\":[\"from google.colab import drive\\n\",\"drive.mount('/content/drive')\"],\"execution_count\":2,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Mounted at /content/drive\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"2y_JbZTlDoai\"},\"source\":[\"Now recall the path in your Google Drive where you uploaded this notebook, fill it in below. If everything is working correctly then running the folowing cell should print the filenames from the assignment:\\n\",\"\\n\",\"```\\n\",\"['eecs598', 'gan.py', 'generative_adversarial_networks.ipynb', 'a6_helper.py', 'vae.py', 'variational_autoencoders.ipynb']\\n\",\"```\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"Z8OU2pRkivyc\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1615482535690,\"user_tz\":-60,\"elapsed\":1748,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"e8ce0af1-1359-4690-fbb0-988b64c135f1\"},\"source\":[\"import os\\n\",\"\\n\",\"# TODO: Fill in the Google Drive path where you uploaded the assignment\\n\",\"# Example: If you create a 2020FA folder and put all the files under A6 folder, then '2020FA/A6'\\n\",\"GOOGLE_DRIVE_PATH_AFTER_MYDRIVE = '2020FA/A6'\\n\",\"GOOGLE_DRIVE_PATH = os.path.join('drive', 'My Drive', GOOGLE_DRIVE_PATH_AFTER_MYDRIVE)\\n\",\"print(os.listdir(GOOGLE_DRIVE_PATH))\"],\"execution_count\":3,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"['generative_adversarial_networks.ipynb', 'gan.py', 'eecs598', '__pycache__', 'a6_helper.py', 'vae_generation.jpg', 'vae.py', 'variational_autoencoders.ipynb']\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"GJ7auXOMi4rw\"},\"source\":[\"Once you have successfully mounted your Google Drive and located the path to \\n\",\"this assignment, run the following cell to allow us to import from the `.py` files of this assignment. If it works correctly, it should print the message:\\n\",\"\\n\",\"```\\n\",\"Hello from vae.py!\\n\",\"Hello from a6_helper.py!\\n\",\"```\\n\",\"\\n\",\"as well as the last edit time for the file `vae.py`.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"5zOOPYIUjCUO\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1615482546118,\"user_tz\":-60,\"elapsed\":6440,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"e46c68d4-f854-450b-8c77-e46e3f241ce7\"},\"source\":[\"import sys\\n\",\"sys.path.append(GOOGLE_DRIVE_PATH)\\n\",\"\\n\",\"import time, os\\n\",\"os.environ[\\\"TZ\\\"] = \\\"US/Eastern\\\"\\n\",\"time.tzset()\\n\",\"\\n\",\"from vae import hello_vae\\n\",\"hello_vae()\\n\",\"\\n\",\"from a6_helper import hello_helper\\n\",\"hello_helper()\"],\"execution_count\":4,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Hello from vae.py!\\n\",\"Hello from a6_helper.py!\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"JuIiv2bhjFoC\"},\"source\":[\"Load several useful packages that are used in this notebook:\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"sLdT7GSljI0f\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1615482554756,\"user_tz\":-60,\"elapsed\":5444,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}}},\"source\":[\"from eecs598.grad import rel_error\\n\",\"from eecs598.utils import reset_seed\\n\",\"import math\\n\",\"import torch\\n\",\"import torch.nn as nn\\n\",\"import torch.nn.functional as F\\n\",\"from torch.nn import init\\n\",\"import torchvision\\n\",\"import torchvision.transforms as T\\n\",\"import torch.optim as optim\\n\",\"from torch.utils.data import DataLoader\\n\",\"from torch.utils.data import sampler\\n\",\"import torchvision.datasets as dset\\n\",\"\\n\",\"import matplotlib.pyplot as plt\\n\",\"%matplotlib inline\\n\",\"\\n\",\"\\n\",\"# for plotting\\n\",\"plt.rcParams['figure.figsize'] = (10.0, 8.0) # set default size of plots\\n\",\"plt.rcParams['font.size'] = 16\\n\",\"plt.rcParams['image.interpolation'] = 'nearest'\\n\",\"plt.rcParams['image.cmap'] = 'gray'\"],\"execution_count\":5,\"outputs\":[]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"_nqWhiLojS8M\"},\"source\":[\"We will use GPUs to accelerate our computation in this notebook. Run the following to make sure GPUs are enabled:\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"RdQhVgi5jVQp\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1615482558046,\"user_tz\":-60,\"elapsed\":921,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"12ac3726-377b-4ad7-b781-5c7b372fe584\"},\"source\":[\"if torch.cuda.is_available():\\n\",\"  print('Good to go!')\\n\",\"else:\\n\",\"  print('Please set GPU via Edit -> Notebook Settings.')\"],\"execution_count\":6,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Good to go!\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"bcqRQILRjchz\"},\"source\":[\"## Load MNIST Dataset\\n\",\"\\n\",\"\\n\",\"VAEs (and GANs as you'll see in the next notebook) are notoriously finicky with hyperparameters, and also require many training epochs. In order to make this assignment approachable, we will be working on the MNIST dataset, which is 60,000 training and 10,000 test images. Each picture contains a centered image of white digit on black background (0 through 9). This was one of the first datasets used to train convolutional neural networks and it is fairly easy -- a standard CNN model can easily exceed 99% accuracy. \\n\",\"\\n\",\"To simplify our code here, we will use the PyTorch MNIST wrapper, which downloads and loads the MNIST dataset. See the [documentation](https://github.com/pytorch/vision/blob/master/torchvision/datasets/mnist.py) for more information about the interface. The default parameters will take 5,000 of the training examples and place them into a validation dataset. The data will be saved into a folder called `MNIST_data`. \"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"mExnwvTXjcF_\",\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1615483398658,\"user_tz\":-60,\"elapsed\":695,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}}},\"source\":[\"batch_size = 128\\n\",\"\\n\",\"mnist_train = dset.MNIST('./MNIST_data', train=True, download=True,\\n\",\"                           transform=T.ToTensor())\\n\",\"loader_train = DataLoader(mnist_train, batch_size=batch_size,\\n\",\"                          shuffle=True, drop_last=True, num_workers=2)\"],\"execution_count\":20,\"outputs\":[]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"CwDmYBjdhTrM\"},\"source\":[\"## Visualize dataset\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"Q2X_21cTwsox\"},\"source\":[\"It is always a good idea to look at examples from the dataset before working with it. Let's visualize the digits in the MNIST dataset. We have defined the function `show_images` in `a6_helper.py` that we call to visualize the images.\\n\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"3JMbbxMkwrYg\",\"colab\":{\"base_uri\":\"https://localhost:8080/\",\"height\":629},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1615483411748,\"user_tz\":-60,\"elapsed\":6157,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"aded9491-97ca-4055-c15d-69955eb2e67b\"},\"source\":[\"from a6_helper import show_images\\n\",\"\\n\",\"imgs = loader_train.__iter__().next()[0].view(batch_size, 784)\\n\",\"show_images(imgs)\"],\"execution_count\":21,\"outputs\":[{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 864x864 with 128 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"tOdQ3r5diEwr\"},\"source\":[\"# Fully Connected VAE\\n\",\"\\n\",\"Our first VAE implementation will consist solely of fully connected layers. We'll take the `1 x 28 x 28` shape of our input and flatten the features to create an input dimension size of 784. In this section you'll define the Encoder and Decoder models in the VAE class of `vae.py` and implement the reparametrization trick, forward pass, and loss function to train your first VAE.\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"aqMjCTSMi0jX\"},\"source\":[\"## FC-VAE Encoder\\n\",\"\\n\",\"Now lets start building our fully-connected VAE network. We'll start with the encoder, which will take our images as input (after flattening C,H,W to D shape) and pass them through a three Linear+ReLU layers. We'll use this hidden dimension representation to predict both the posterior mu and posterior log-variance using two separate linear layers (both shape (N,Z)). \\n\",\"\\n\",\"Note that we are calling this the 'logvar' layer because we'll use the log-variance (instead of variance or standard deviation) to stabilize training. This will specifically matter more when you compute reparametrization and the loss function later. \\n\",\"\\n\",\"*Define an `encoder`, `hidden_dim` (H), `mu_layer`, and `logvar_layer` in the initialization of the VAE class in `vae.py`. Use nn.Sequential to define the encoder, and separate Linear layers for the mu and logvar layers. In all of these layers, H will be a hidden dimension you set and will be the same across all encoder and decoder layers. Architecture for the encoder is described below:*\\n\",\"\\n\",\"\\n\",\" * `Flatten` (Hint: nn.Flatten)\\n\",\" * Fully connected layer with input size 784 (`input_size`) and output size H\\n\",\" * `ReLU`\\n\",\" * Fully connected layer with input_size H and output size H\\n\",\" * `ReLU`\\n\",\" * Fully connected layer with input_size H and output size H\\n\",\" * `ReLU`\\n\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"gTuEAFrgkTyt\"},\"source\":[\"## FC-VAE Decoder\\n\",\"\\n\",\"We'll now define the decoder, which will take the latent space representation and generate a reconstructed image. The architecture is as follows: \\n\",\"\\n\",\" * Fully connected layer with input size as the latent size (Z) and output size H\\n\",\" * `ReLU`\\n\",\" * Fully connected layer with input_size H and output size H\\n\",\" * `ReLU`\\n\",\" * Fully connected layer with input_size H and output size H\\n\",\" * `ReLU`\\n\",\" * Fully connected layer with input_size H and output size 784 (`input_size`)\\n\",\" * `Sigmoid`\\n\",\" * `Unflatten` (nn.Unflatten)\\n\",\"\\n\",\"*Define a `decoder` in the initialization of the VAE class in `vae.py`. Like the encoding step, use `nn.Sequential`*  \\n\",\"\\n\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"aFTb-35TiOZl\"},\"source\":[\"## Reparametrization \\n\",\"\\n\",\"\\n\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"SdD23s3Vf70-\"},\"source\":[\"Now we'll apply a reparametrization trick in order to estimate the posterior $z$ during our forward pass, given the $\\\\mu$ and $\\\\sigma^2$ estimated by the encoder. A simple way to do this could be to simply generate a normal distribution centered at our  $\\\\mu$ and having a std corresponding to our $\\\\sigma^2$. However, we would have to backpropogate through this random sampling that is not differentiable. Instead, we sample initial random data $\\\\epsilon$ from a fixed distrubtion, and compute $z$ as a function of ($\\\\epsilon$, $\\\\sigma^2$, $\\\\mu$). Specifically:\\n\",\"\\n\",\"$z = \\\\mu + \\\\sigma\\\\epsilon$\\n\",\"\\n\",\"We can easily find the partial derivatives w.r.t $\\\\mu$ and $\\\\sigma^2$ and backpropagate through $z$. If $\\\\epsilon = \\\\mathcal{N} (0,1)$, then its easy to verify that the result of our forward pass calculation will be a distribution centered at $\\\\mu$ with variance $\\\\sigma^2$.\\n\",\"\\n\",\"Implement `reparametrization` in `vae.py` and verify your mean and std error are at or less than `1e-4`.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"T236XnbhbVH4\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1615483936863,\"user_tz\":-60,\"elapsed\":1077,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"a06e1637-9b2c-4381-d0b5-4c5f1e5ec652\"},\"source\":[\"reset_seed(0)\\n\",\"from vae import reparametrize\\n\",\"latent_size = 15\\n\",\"size = (1, latent_size)\\n\",\"mu = torch.zeros(size)\\n\",\"logvar = torch.ones(size)\\n\",\"\\n\",\"z = reparametrize(mu, logvar)\\n\",\"\\n\",\"expected_mean = torch.FloatTensor([-0.4363])\\n\",\"expected_std = torch.FloatTensor([1.6860])\\n\",\"z_mean = torch.mean(z, dim=-1)\\n\",\"z_std = torch.std(z, dim=-1)\\n\",\"assert z.size() == size\\n\",\"\\n\",\"print('Mean Error', rel_error(z_mean, expected_mean))\\n\",\"print('Std Error', rel_error(z_std, expected_std))\"],\"execution_count\":23,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Mean Error 5.639056398351415e-05\\n\",\"Std Error 7.1412955526273885e-06\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"XOfC7oDrkUhl\"},\"source\":[\"## FC-VAE Forward\\n\",\"\\n\",\"Complete the VAE class by writing the forward pass. The forward pass should pass the input image through the encoder to calculate the estimation of mu and logvar, reparametrize to estimate the latent space z, and finally pass z into the decoder to generate an image.\\n\",\"\\n\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"IQ0UXWyMi9Gu\"},\"source\":[\"## Loss Function\\n\",\"\\n\",\"Before we're able to train our final model, we'll need to define our loss function. As seen below, the loss function for VAEs contains two terms: A reconstruction loss term (left) and KL divergence term (right). \\n\",\"\\n\",\"$-E_{Z~q_{\\\\phi}(z|x)}[log p_{\\\\theta}(x|z)] + D_{KL}(q_{\\\\phi}(z|x), p(z)))$\\n\",\"\\n\",\"Note that this is the negative of the variational lowerbound shown in lecture--this ensures that when we are minimizing this loss term, we're maximizing the variational lowerbound. The reconstruction loss term can be computed by simply using the binary cross entropy loss between the original input pixels and the output pixels of our decoder (Hint: `nn.functional.binary_cross_entropy`). The KL divergence term works to force the latent space distribution to be close to a prior distribution (we're using a standard normal gaussian as our prior).\\n\",\"\\n\",\"To help you out, we've derived an unvectorized form of the KL divergence term for you.\\n\",\"Suppose that $q_\\\\phi(z|x)$ is a $Z$-dimensional diagonal Gaussian with mean $\\\\mu_{z|x}$ of shape $(Z,)$ and standard deviation $\\\\sigma_{z|x}$ of shape $(Z,)$, and that $p(z)$ is a $Z$-dimensional Gaussian with zero mean and unit variance. Then we can write the KL divergence term as:\\n\",\"\\n\",\"$D_{KL}(q_{\\\\phi}(z|x), p(z))) = -\\\\frac{1}{2} \\\\sum_{j=1}^{J} (1 + log(\\\\sigma_{z|x}^2)_{j} - (\\\\mu_{z|x})^2_{j} - (\\\\sigma_{z|x})^2_{j}$)\\n\",\"\\n\",\"It's up to you to implement a vectorized version of this loss that also operates on minibatches.\\n\",\"You should average the loss across samples in the minibatch.\\n\",\"\\n\",\"Implement `loss_function` in `vae.py` and verify your implementation below. Your relative error should be less than or equal to `1e-5`\\n\",\"\\n\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"vF2ZUj2FjrFa\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1615483940223,\"user_tz\":-60,\"elapsed\":682,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"6d696e09-0be6-4832-b411-63a22ceea74c\"},\"source\":[\"from vae import loss_function\\n\",\"size = (1,15)\\n\",\"\\n\",\"image = torch.sigmoid(torch.FloatTensor([[2,5], [6,7]]).unsqueeze(0).unsqueeze(0))\\n\",\"image_hat = torch.sigmoid(torch.FloatTensor([[1,10], [9,3]]).unsqueeze(0).unsqueeze(0))\\n\",\"\\n\",\"expected_out = torch.tensor(8.5079)\\n\",\"mu, logvar = torch.ones(size), torch.zeros(size)\\n\",\"out = loss_function(image, image_hat, mu, logvar)\\n\",\"print('Loss error', rel_error(expected_out,out))\\n\"],\"execution_count\":24,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Loss error 2.1297676389877955e-06\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"wV8fbzenkAXm\"},\"source\":[\"\\n\",\"## Train a model\\n\",\"\\n\",\"Now that we have our VAE defined and loss function ready, lets train our model! Our training script is provided  in `a6_helper.py`, and we have pre-defined an Adam optimizer, learning rate, and # of epochs for you to use. \\n\",\"\\n\",\"Training for 10 epochs should take ~2 minutes and your loss should be less than 120.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"rWaaacNHsfao\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1615417916757,\"user_tz\":-60,\"elapsed\":56502,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"444b6883-7d8c-42d2-dbfa-208fd0f9436b\"},\"source\":[\"num_epochs = 10\\n\",\"latent_size = 15\\n\",\"from vae import VAE\\n\",\"from a6_helper import train_vae\\n\",\"input_size = 28*28\\n\",\"device = 'cuda'\\n\",\"vae_model = VAE(input_size, latent_size=latent_size)\\n\",\"vae_model.cuda()\\n\",\"for epoch in range(0, num_epochs):\\n\",\"  train_vae(epoch, vae_model, loader_train)\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Train Epoch: 0 \\tLoss: 163.427429\\n\",\"Train Epoch: 1 \\tLoss: 138.039627\\n\",\"Train Epoch: 2 \\tLoss: 123.292709\\n\",\"Train Epoch: 3 \\tLoss: 121.097710\\n\",\"Train Epoch: 4 \\tLoss: 125.457184\\n\",\"Train Epoch: 5 \\tLoss: 114.404221\\n\",\"Train Epoch: 6 \\tLoss: 116.560722\\n\",\"Train Epoch: 7 \\tLoss: 119.169411\\n\",\"Train Epoch: 8 \\tLoss: 112.095634\\n\",\"Train Epoch: 9 \\tLoss: 109.473122\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"JT6Ek-26jjJD\"},\"source\":[\"## Visualize results\\n\",\"\\n\",\"After training our VAE network, we're able to take advantage of its power to generate new training examples. This process simply involves the decoder: we intialize some random distribution for our latent spaces z, and generate new examples by passing these latent space into the decoder. \\n\",\"\\n\",\"Run the cell below to generate new images! You should be able to visually recognize many of the digits, although some may be a bit blurry or badly formed. Our next model will see improvement in these results. \"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"RhhrsgrMTyTi\",\"colab\":{\"base_uri\":\"https://localhost:8080/\",\"height\":84},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1615417927328,\"user_tz\":-60,\"elapsed\":1034,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"6ee80a0c-64a0-44e2-a8f9-a10e065737c1\"},\"source\":[\"z = torch.randn(10, latent_size).to(device='cuda')\\n\",\"import matplotlib.gridspec as gridspec\\n\",\"vae_model.eval()\\n\",\"samples = vae_model.decoder(z).data.cpu().numpy()\\n\",\"\\n\",\"fig = plt.figure(figsize=(10, 1))\\n\",\"gspec = gridspec.GridSpec(1, 10)\\n\",\"gspec.update(wspace=0.05, hspace=0.05)\\n\",\"for i, sample in enumerate(samples):\\n\",\"  ax = plt.subplot(gspec[i])\\n\",\"  plt.axis('off')\\n\",\"  ax.set_xticklabels([])\\n\",\"  ax.set_yticklabels([])\\n\",\"  ax.set_aspect('equal')\\n\",\"  plt.imshow(sample.reshape(28,28), cmap='Greys_r')\\n\",\"  plt.savefig(os.path.join(GOOGLE_DRIVE_PATH,'vae_generation.jpg'))\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 720x72 with 10 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"sx3HGSpXk1MY\"},\"source\":[\"## Latent Space Interpolation\\n\",\"\\n\",\"As a final visual test of our trained VAE model, we can perform interpolation in latent space. We generate random latent vectors $z_0$ and $z_1$, and linearly interplate between them; we run each interpolated vector through the trained generator to produce an image.\\n\",\"\\n\",\"Each row of the figure below interpolates between two random vectors. For the most part the model should exhibit smooth transitions along each row, demonstrating that the model has learned something nontrivial about the underlying spatial structure of the digits it is modeling.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"XZ_4XsFURmN1\",\"colab\":{\"base_uri\":\"https://localhost:8080/\",\"height\":630},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1615417976922,\"user_tz\":-60,\"elapsed\":4771,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"b1c2e540-890e-488e-fb59-cc1b771af454\"},\"source\":[\"S = 12\\n\",\"latent_size = 15\\n\",\"device = 'cuda'\\n\",\"z0 = torch.randn(S,latent_size , device=device)\\n\",\"z1 = torch.randn(S, latent_size, device=device)\\n\",\"w = torch.linspace(0, 1, S, device=device).view(S, 1, 1)\\n\",\"z = (w * z0 + (1 - w) * z1).transpose(0, 1).reshape(S * S, latent_size)\\n\",\"x = vae_model.decoder(z)\\n\",\"show_images(x.data.cpu())\"],\"execution_count\":null,\"outputs\":[{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 864x864 with 144 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"wzS_ufzEkhah\"},\"source\":[\"# Conditional FC-VAE \\n\",\"\\n\",\"The second model you'll develop will be very similar to the FC-VAE, but with a slight conditional twist to it. We'll use what we know about the labels of each MNIST image, and *condition* our latent space and image generation on the specific class. Instead of $q_{\\\\phi} (z|x)$ and $p_{\\\\phi}(x|z)$ we have $q_{\\\\phi} (z|x,c)$  and $p_{\\\\phi}(x|z, c)$\\n\",\"\\n\",\"This will allow us to do some powerful conditional generation at inference time. We can specifically choose to generate more 1s, 2s, 9s, etc. instead of simply generating new digits randomly.\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"hle0JuhwklKc\"},\"source\":[\"## Define Network with class input\\n\",\"\\n\",\"Our CVAE architecture will be the same as our FC-VAE architecture, except we'll now add a one-hot label vector to both the x input (in our case, the flattened image dimensions) and the z latent space. \\n\",\"\\n\",\"If our one-hot vector is called `c`, then `c[label] = 1` and `c = 0` elsewhere.\\n\",\"\\n\",\"For the `CVAE` class in `vae.py` use the same FC-VAE architecture implemented in the last network with the following modifications:\\n\",\"\\n\",\"1. Modify the first linear layer of your `encoder` to take in not only the flattened input image, but also the one-hot label vector `c`\\n\",\"2. Modify the first layer of your `decoder` to project the latent space + one-hot vector to the `hidden_dim`\\n\",\"3. Lastly, implement the `forward` pass to combine the flattened input image with the one-hot vectors (`torch.cat`) before passing them to the `encoder` and combine the latent space with the one-hot vectors (`torch.cat`) before passing them to the `decoder`\"]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"bUzKyFI9kp8i\"},\"source\":[\"## Train model\\n\",\"\\n\",\"Using the same training script, let's now train our CVAE! \\n\",\"\\n\",\"Training for 10 epochs should take ~2 minutes and your loss should be less than 120.\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"N1dzKDUsunbD\",\"colab\":{\"base_uri\":\"https://localhost:8080/\"},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1615485876402,\"user_tz\":-60,\"elapsed\":89452,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"16b991f6-8c91-4399-963c-0c8abe3ba9b5\"},\"source\":[\"from vae import CVAE\\n\",\"num_epochs = 10\\n\",\"latent_size = 15\\n\",\"from a6_helper import train_vae\\n\",\"input_size = 28*28\\n\",\"device = 'cuda'\\n\",\"\\n\",\"cvae = CVAE(input_size, latent_size=latent_size)\\n\",\"cvae.cuda()\\n\",\"for epoch in range(0, num_epochs):\\n\",\"  train_vae(epoch, cvae, loader_train, cond=True)\"],\"execution_count\":32,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Train Epoch: 0 \\tLoss: 143.905441\\n\",\"Train Epoch: 1 \\tLoss: 131.232330\\n\",\"Train Epoch: 2 \\tLoss: 126.080849\\n\",\"Train Epoch: 3 \\tLoss: 119.384857\\n\",\"Train Epoch: 4 \\tLoss: 111.767593\\n\",\"Train Epoch: 5 \\tLoss: 111.876450\\n\",\"Train Epoch: 6 \\tLoss: 119.063759\\n\",\"Train Epoch: 7 \\tLoss: 110.267746\\n\",\"Train Epoch: 8 \\tLoss: 109.231987\\n\",\"Train Epoch: 9 \\tLoss: 102.071381\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"GMAyFBZTkr1Y\"},\"source\":[\"## Visualize Results\\n\",\"\\n\",\"We've trained our CVAE, now lets conditionally generate some new data! This time, we can specify the class we want to generate by adding our one hot matrix of class labels. We use `torch.eye` to create an identity matrix, gives effectively gives us one label for each digit. When you run the cell below, you should get one example per digit. Each digit should be reasonably distinguishable (it is ok to run this cell a few times to save your best results).\\n\",\"\\n\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"GCfwpz0NALdZ\",\"colab\":{\"base_uri\":\"https://localhost:8080/\",\"height\":84},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1615485965142,\"user_tz\":-60,\"elapsed\":1239,\"user\":{\"displayName\":\"Soufian Benamara\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64\",\"userId\":\"08596286217915945464\"}},\"outputId\":\"c2f9acee-16e1-44af-c98e-13291349a4d2\"},\"source\":[\"z = torch.randn(10, latent_size)\\n\",\"c = torch.eye(10, 10) # [one hot labels for 0-9]\\n\",\"import matplotlib.gridspec as gridspec\\n\",\"z = torch.cat((z,c), dim=-1).to(device='cuda')\\n\",\"cvae.eval()\\n\",\"samples = cvae.decoder(z).data.cpu().numpy()\\n\",\"\\n\",\"fig = plt.figure(figsize=(10, 1))\\n\",\"gspec = gridspec.GridSpec(1, 10)\\n\",\"gspec.update(wspace=0.05, hspace=0.05)\\n\",\"for i, sample in enumerate(samples):\\n\",\"  ax = plt.subplot(gspec[i])\\n\",\"  plt.axis('off')\\n\",\"  ax.set_xticklabels([])\\n\",\"  ax.set_yticklabels([])\\n\",\"  ax.set_aspect('equal')\\n\",\"  plt.imshow(sample.reshape(28, 28), cmap='Greys_r')\\n\",\"  plt.savefig(os.path.join(GOOGLE_DRIVE_PATH,'conditional_vae_generation.jpg'))\"],\"execution_count\":36,\"outputs\":[{\"output_type\":\"display_data\",\"data\":{\"image/png\":\"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\\n\",\"text/plain\":[\"<Figure size 720x72 with 10 Axes>\"]},\"metadata\":{\"tags\":[],\"needs_background\":\"light\"}}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"vW8GmNSwY5Jx\"},\"source\":[\"## Final Check\\n\",\"\\n\",\"Make sure all your training results (loss + images) are saved in the notebook. You can run \\\"Runtime -> Restart and run all...\\\" to double check before submitting\"]}]}"
  }
]