Repository: simoninithomas/CatDCGAN
Branch: master
Commit: 643666da8c4a
Files: 43
Total size: 20.3 MB

Directory structure:
gitextract_ci0x_bfb/

├── Cat DCGAN.ipynb
├── README.md
├── docs/
│   ├── 404.html
│   ├── about.txt
│   ├── assets/
│   │   ├── css/
│   │   │   └── style.css
│   │   ├── font awesome/
│   │   │   ├── HELP-US-OUT.txt
│   │   │   ├── css/
│   │   │   │   └── font-awesome.css
│   │   │   ├── fonts/
│   │   │   │   └── FontAwesome.otf
│   │   │   ├── less/
│   │   │   │   ├── animated.less
│   │   │   │   ├── bordered-pulled.less
│   │   │   │   ├── core.less
│   │   │   │   ├── fixed-width.less
│   │   │   │   ├── font-awesome.less
│   │   │   │   ├── icons.less
│   │   │   │   ├── larger.less
│   │   │   │   ├── list.less
│   │   │   │   ├── mixins.less
│   │   │   │   ├── path.less
│   │   │   │   ├── rotated-flipped.less
│   │   │   │   ├── screen-reader.less
│   │   │   │   ├── stacked.less
│   │   │   │   └── variables.less
│   │   │   └── scss/
│   │   │       ├── _animated.scss
│   │   │       ├── _bordered-pulled.scss
│   │   │       ├── _core.scss
│   │   │       ├── _fixed-width.scss
│   │   │       ├── _icons.scss
│   │   │       ├── _larger.scss
│   │   │       ├── _list.scss
│   │   │       ├── _mixins.scss
│   │   │       ├── _path.scss
│   │   │       ├── _rotated-flipped.scss
│   │   │       ├── _screen-reader.scss
│   │   │       ├── _stacked.scss
│   │   │       ├── _variables.scss
│   │   │       └── font-awesome.scss
│   │   └── js/
│   │       └── app.js
│   └── index.html
├── helper.py
├── models/
│   ├── checkpoint
│   ├── model.ckpt.index
│   └── model.ckpt.meta
└── start.sh

================================================
FILE CONTENTS
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================================================
FILE: Cat DCGAN.ipynb
================================================
{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Cat DCGAN 🐱‍💻"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Outputs from our DCGAN: "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<img src=\"assets/output.png\" alt=\"CatDCGAN Output\" />"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<p> Cat DCGAN is a Deep Convolutional Generative Adversarial Network (DCGAN) <b>that generates pictures of cats</b> </p>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This is an open source project"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<p> If you have any questions, feel free to ask me: </p>\n",
    "<p> 📧: <a href=\"mailto:hello@simoninithomas.com\">hello@simoninithomas.com</a>  </p>\n",
    "<p> Github: https://github.com/simoninithomas/CatDCGAN </p>\n",
    "<p> 🌐 : https://www.simoninithomas.com </p>\n",
    "<p> Twitter: <a href=\"https://twitter.com/ThomasSimonini\">@ThomasSimonini</a> </p>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Important note 🤔\n",
    "<b> You can't run this on your computer </b> (except if you have GPUs or wait 10 years 😅), personally I train this DCGAN for 20 hours with Microsoft Azure and their Deep Learning Virtual Machine (they offer 170$)\n",
    "https://azuremarketplace.microsoft.com/en-us/marketplace/apps/microsoft-ads.dsvm-deep-learning\n",
    "<br>\n",
    "⚠️ I don't have any business relations with them. I just loved their excellent customer service.\n",
    "\n",
    "If you have some troubles to use follow the explainations of this excellent article here (without last the part fast.ai): https://medium.com/@manikantayadunanda/setting-up-deeplearning-machine-and-fast-ai-on-azure-a22eb6bd6429"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Checklist 📝\n",
    "- Download the dataset here: https://www.kaggle.com/crawford/cat-dataset\n",
    "- Type `sh start.sh` it will handle extract, remove outliers, normalization and face centering\n",
    "- Change `do_preprocess = True` ⚠️⚠️⚠️ important!\n",
    "\n",
    "### If you want to train from scratch\n",
    "- Change `from_checkpoint = False`\n",
    "\n",
    "### If you want to train from last model saved (you save 20 hours of training 🎉)\n",
    "- Change `from_checkpoint = True`\n",
    "\n",
    "\n",
    "## Acknowledgement 👏\n",
    "This project was made possible thanks to:\n",
    "- Udacity Face Generator Project \n",
    "- The start.sh and preprocess part (modified) made by Alexia Jolicoeur-Martineau https://ajolicoeur.wordpress.com/cats/\n",
    "- Siraj's Raval PokeGan https://github.com/llSourcell/Pokemon_GAN\n",
    "- The choice of learning rate by Alexia Jolicoeur-Martineau https://ajolicoeur.wordpress.com/cats/\n",
    "\n",
    "\n",
    "<br>\n",
    "<br>\n",
    "<img src=\"assets/training2.gif\" alt=\"Training DCGAN\" />"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import tensorflow as tf\n",
    "import numpy as np\n",
    "\n",
    "import helper\n",
    "from glob import glob\n",
    "import pickle as pkl\n",
    "import scipy.misc\n",
    "\n",
    "import time\n",
    "\n",
    "import cv2\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "\n",
    "do_preprocess = False\n",
    "from_checkpoint = False"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## The Data 📚\n",
    "### Resize images to 128x128"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_dir = './cats_bigger_than_128x128' # Data\n",
    "data_resized_dir = \"./resized_data\"# Resized data\n",
    "\n",
    "if do_preprocess == True:\n",
    "    os.mkdir(data_resized_dir)\n",
    "\n",
    "    for each in os.listdir(data_dir):\n",
    "        image = cv2.imread(os.path.join(data_dir, each))\n",
    "        image = cv2.resize(image, (128, 128))\n",
    "        cv2.imwrite(os.path.join(data_resized_dir, each), image)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# This part was taken from Udacity Face generator project\n",
    "def get_image(image_path, width, height, mode):\n",
    "    \"\"\"\n",
    "    Read image from image_path\n",
    "    :param image_path: Path of image\n",
    "    :param width: Width of image\n",
    "    :param height: Height of image\n",
    "    :param mode: Mode of image\n",
    "    :return: Image data\n",
    "    \"\"\"\n",
    "    image = Image.open(image_path)\n",
    "\n",
    "    return np.array(image.convert(mode))\n",
    "\n",
    "def get_batch(image_files, width, height, mode):\n",
    "    data_batch = np.array(\n",
    "        [get_image(sample_file, width, height, mode) for sample_file in image_files]).astype(np.float32)\n",
    "\n",
    "    # Make sure the images are in 4 dimensions\n",
    "    if len(data_batch.shape) < 4:\n",
    "        data_batch = data_batch.reshape(data_batch.shape + (1,))\n",
    "\n",
    "    return data_batch"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Explore the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "show_n_images = 25\n",
    "mnist_images = helper.get_batch(glob(os.path.join(data_resized_dir, '*.jpg'))[:show_n_images], 64, 64, 'RGB')\n",
    "plt.imshow(helper.images_square_grid(mnist_images, 'RGB'))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## The DCGAN 🤖"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In this part we're going to implement the DCGAN.\n",
    "Our Architecture:<br><br>\n",
    "<img src=\"assets/GDSchema.png\" alt=\"Cat DCGAN Architecture\"/>\n",
    "\n",
    "Cat Icon made by <a href=\"https://www.flaticon.com/authors/vectors-market\">  Vector Market </a> from www.flaticon.com \n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Check the version of Tensorflow and access to GPU"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Taken from Udacity face generator project\n",
    "from distutils.version import LooseVersion\n",
    "import warnings\n",
    "import tensorflow as tf\n",
    "\n",
    "# Check TensorFlow Version\n",
    "assert LooseVersion(tf.__version__) >= LooseVersion('1.0'), 'Please use TensorFlow version 1.0 or newer.  You are using {}'.format(tf.__version__)\n",
    "print('TensorFlow Version: {}'.format(tf.__version__))\n",
    "\n",
    "# Check for a GPU\n",
    "if not tf.test.gpu_device_name():\n",
    "    warnings.warn('No GPU found. Please use a GPU to train your neural network.')\n",
    "else:\n",
    "    print('Default GPU Device: {}'.format(tf.test.gpu_device_name()))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Input\n",
    "Create TF placeholders for the Neural Network:\n",
    "- Real input images placeholder `real_dim`.\n",
    "- Z input placeholder `z_dim`.\n",
    "- Learning rate G placeholder.\n",
    "- Learning rate D placeholder.\n",
    "<br><br>\n",
    "Return the placeholders in a tuple"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "def model_inputs(real_dim, z_dim):\n",
    "    \"\"\"\n",
    "    Create the model inputs\n",
    "    :param real_dim: tuple containing width, height and channels\n",
    "    :param z_dim: The dimension of Z\n",
    "    :return: Tuple of (tensor of real input images, tensor of z data, learning rate G, learning rate D)\n",
    "    \"\"\"\n",
    "    inputs_real = tf.placeholder(tf.float32, (None, *real_dim), name='inputs_real')\n",
    "    inputs_z = tf.placeholder(tf.float32, (None, z_dim), name=\"input_z\")\n",
    "    learning_rate_G = tf.placeholder(tf.float32, name=\"learning_rate_G\")\n",
    "    learning_rate_D = tf.placeholder(tf.float32, name=\"learning_rate_D\")\n",
    "    \n",
    "    return inputs_real, inputs_z, learning_rate_G, learning_rate_D\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Generator Network\n",
    "\n",
    "<img src=\"assets/generator.png\" alt=\"Generator\"/>\n",
    "\n",
    "\n",
    "#### Variable Scope\n",
    "Use tf.variable_scope <b> for 2 reasons </b>:\n",
    "<ul>\n",
    "    <li> Make sure all varaibles names start with generator / discriminator (will help out later when training the separate networks </li>\n",
    "    <li> Also want <b> to reuse these networks with different inputs </b></li>\n",
    "        <ul>\n",
    "            <li> For the generator: we're going to train it but also <b>sample from it as we're training after training </b> </li>\n",
    "            <li> For the discriminator: need to share variables between the fake and real input images </li>\n",
    "    </ul>\n",
    "</ul>\n",
    "<p> So we can use the reuse keyword to <b> tell TensorFlow to reuse the var instead of createing new one if we build the graph again</b></p>\n",
    "\n",
    "#### Leaky ReLU\n",
    "Avoid gradient vanishing\n",
    "\n",
    "#### Tanh Output\n",
    "Generator has been found to perform the best <b> with tanh for the generator output </b>\n",
    "<br>\n",
    "\n",
    "- Leaky ReLU in all layers except for the last tanh layer\n",
    "- Normalization on all the transposed convnets except the last one\n",
    "\n",
    "<br>\n",
    "<b>Transposed convnets --> normalization --> leaky ReLU</b>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "def generator(z, output_channel_dim, is_train=True):\n",
    "    ''' Build the generator network.\n",
    "    \n",
    "        Arguments\n",
    "        ---------\n",
    "        z : Input tensor for the generator\n",
    "        output_channel_dim : Shape of the generator output\n",
    "        n_units : Number of units in hidden layer\n",
    "        reuse : Reuse the variables with tf.variable_scope\n",
    "        alpha : leak parameter for leaky ReLU\n",
    "        \n",
    "        Returns\n",
    "        -------\n",
    "        out: \n",
    "    '''\n",
    "    with tf.variable_scope(\"generator\", reuse= not is_train):\n",
    "        \n",
    "        # First FC layer --> 8x8x1024\n",
    "        fc1 = tf.layers.dense(z, 8*8*1024)\n",
    "        \n",
    "        # Reshape it\n",
    "        fc1 = tf.reshape(fc1, (-1, 8, 8, 1024))\n",
    "        \n",
    "        # Leaky ReLU\n",
    "        fc1 = tf.nn.leaky_relu(fc1, alpha=alpha)\n",
    "\n",
    "        \n",
    "        # Transposed conv 1 --> BatchNorm --> LeakyReLU\n",
    "        # 8x8x1024 --> 16x16x512\n",
    "        trans_conv1 = tf.layers.conv2d_transpose(inputs = fc1,\n",
    "                                  filters = 512,\n",
    "                                  kernel_size = [5,5],\n",
    "                                  strides = [2,2],\n",
    "                                  padding = \"SAME\",\n",
    "                                kernel_initializer=tf.truncated_normal_initializer(stddev=0.02),\n",
    "                                name=\"trans_conv1\")\n",
    "        \n",
    "        batch_trans_conv1 = tf.layers.batch_normalization(inputs = trans_conv1, training=is_train, epsilon=1e-5, name=\"batch_trans_conv1\")\n",
    "       \n",
    "        trans_conv1_out = tf.nn.leaky_relu(batch_trans_conv1, alpha=alpha, name=\"trans_conv1_out\")\n",
    "        \n",
    "        \n",
    "        # Transposed conv 2 --> BatchNorm --> LeakyReLU\n",
    "        # 16x16x512 --> 32x32x256\n",
    "        trans_conv2 = tf.layers.conv2d_transpose(inputs = trans_conv1_out,\n",
    "                                  filters = 256,\n",
    "                                  kernel_size = [5,5],\n",
    "                                  strides = [2,2],\n",
    "                                  padding = \"SAME\",\n",
    "                                kernel_initializer=tf.truncated_normal_initializer(stddev=0.02),\n",
    "                                name=\"trans_conv2\")\n",
    "        \n",
    "        batch_trans_conv2 = tf.layers.batch_normalization(inputs = trans_conv2, training=is_train, epsilon=1e-5, name=\"batch_trans_conv2\")\n",
    "       \n",
    "        trans_conv2_out = tf.nn.leaky_relu(batch_trans_conv2, alpha=alpha, name=\"trans_conv2_out\")\n",
    "        \n",
    "        \n",
    "        # Transposed conv 3 --> BatchNorm --> LeakyReLU\n",
    "        # 32x32x256 --> 64x64x128\n",
    "        trans_conv3 = tf.layers.conv2d_transpose(inputs = trans_conv2_out,\n",
    "                                  filters = 128,\n",
    "                                  kernel_size = [5,5],\n",
    "                                  strides = [2,2],\n",
    "                                  padding = \"SAME\",\n",
    "                                kernel_initializer=tf.truncated_normal_initializer(stddev=0.02),\n",
    "                                name=\"trans_conv3\")\n",
    "        \n",
    "        batch_trans_conv3 = tf.layers.batch_normalization(inputs = trans_conv3, training=is_train, epsilon=1e-5, name=\"batch_trans_conv3\")\n",
    "       \n",
    "        trans_conv3_out = tf.nn.leaky_relu(batch_trans_conv3, alpha=alpha, name=\"trans_conv3_out\")\n",
    "\n",
    "        \n",
    "        # Transposed conv 4 --> BatchNorm --> LeakyReLU\n",
    "        # 64x64x128 --> 128x128x64\n",
    "        trans_conv4 = tf.layers.conv2d_transpose(inputs = trans_conv3_out,\n",
    "                                  filters = 64,\n",
    "                                  kernel_size = [5,5],\n",
    "                                  strides = [2,2],\n",
    "                                  padding = \"SAME\",\n",
    "                                kernel_initializer=tf.truncated_normal_initializer(stddev=0.02),\n",
    "                                name=\"trans_conv4\")\n",
    "        \n",
    "        batch_trans_conv4 = tf.layers.batch_normalization(inputs = trans_conv4, training=is_train, epsilon=1e-5, name=\"batch_trans_conv4\")\n",
    "       \n",
    "        trans_conv4_out = tf.nn.leaky_relu(batch_trans_conv4, alpha=alpha, name=\"trans_conv4_out\")\n",
    "\n",
    "        \n",
    "        # Transposed conv 5 --> tanh\n",
    "        # 128x128x64 --> 128x128x3\n",
    "        logits = tf.layers.conv2d_transpose(inputs = trans_conv4_out,\n",
    "                                  filters = 3,\n",
    "                                  kernel_size = [5,5],\n",
    "                                  strides = [1,1],\n",
    "                                  padding = \"SAME\",\n",
    "                                kernel_initializer=tf.truncated_normal_initializer(stddev=0.02),\n",
    "                                name=\"logits\")\n",
    "         \n",
    "        out = tf.tanh(logits, name=\"out\")\n",
    "        \n",
    "        return out"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Discriminator\n",
    "<img src=\"assets/discriminator.png\" alt=\"Discriminator\"/>\n",
    "\n",
    "- Input is 128x128x3\n",
    "- Depths starting with 32 and then *2 depth as you add layers\n",
    "- No downsampling using only <b> strided conv layers with no maxpool layers </b>\n",
    "- No batchnorm in input layer\n",
    "\n",
    "<b> convolution > batch norm > leaky ReLU </b>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "def discriminator(x, is_reuse=False, alpha = 0.2):\n",
    "    ''' Build the discriminator network.\n",
    "    \n",
    "        Arguments\n",
    "        ---------\n",
    "        x : Input tensor for the discriminator\n",
    "        n_units: Number of units in hidden layer\n",
    "        reuse : Reuse the variables with tf.variable_scope\n",
    "        alpha : leak parameter for leaky ReLU\n",
    "        \n",
    "        Returns\n",
    "        -------\n",
    "        out, logits: \n",
    "    '''\n",
    "    with tf.variable_scope(\"discriminator\", reuse = is_reuse): \n",
    "        \n",
    "        # Input layer 128*128*3 --> 64x64x64\n",
    "        # Conv --> BatchNorm --> LeakyReLU   \n",
    "        conv1 = tf.layers.conv2d(inputs = x,\n",
    "                                filters = 64,\n",
    "                                kernel_size = [5,5],\n",
    "                                strides = [2,2],\n",
    "                                padding = \"SAME\",\n",
    "                                kernel_initializer=tf.truncated_normal_initializer(stddev=0.02),\n",
    "                                name='conv1')\n",
    "        \n",
    "        batch_norm1 = tf.layers.batch_normalization(conv1,\n",
    "                                                   training = True,\n",
    "                                                   epsilon = 1e-5,\n",
    "                                                     name = 'batch_norm1')\n",
    "\n",
    "        conv1_out = tf.nn.leaky_relu(batch_norm1, alpha=alpha, name=\"conv1_out\")\n",
    "        \n",
    "        \n",
    "        # 64x64x64--> 32x32x128\n",
    "        # Conv --> BatchNorm --> LeakyReLU   \n",
    "        conv2 = tf.layers.conv2d(inputs = conv1_out,\n",
    "                                filters = 128,\n",
    "                                kernel_size = [5, 5],\n",
    "                                strides = [2, 2],\n",
    "                                padding = \"SAME\",\n",
    "                                kernel_initializer=tf.truncated_normal_initializer(stddev=0.02),\n",
    "                                name='conv2')\n",
    "        \n",
    "        batch_norm2 = tf.layers.batch_normalization(conv2,\n",
    "                                                   training = True,\n",
    "                                                   epsilon = 1e-5,\n",
    "                                                     name = 'batch_norm2')\n",
    "        \n",
    "        conv2_out = tf.nn.leaky_relu(batch_norm2, alpha=alpha, name=\"conv2_out\")\n",
    "\n",
    "        \n",
    "        \n",
    "        # 32x32x128 --> 16x16x256\n",
    "        # Conv --> BatchNorm --> LeakyReLU   \n",
    "        conv3 = tf.layers.conv2d(inputs = conv2_out,\n",
    "                                filters = 256,\n",
    "                                kernel_size = [5, 5],\n",
    "                                strides = [2, 2],\n",
    "                                padding = \"SAME\",\n",
    "                                kernel_initializer=tf.truncated_normal_initializer(stddev=0.02),\n",
    "                                name='conv3')\n",
    "        \n",
    "        batch_norm3 = tf.layers.batch_normalization(conv3,\n",
    "                                                   training = True,\n",
    "                                                   epsilon = 1e-5,\n",
    "                                                name = 'batch_norm3')\n",
    "        \n",
    "        conv3_out = tf.nn.leaky_relu(batch_norm3, alpha=alpha, name=\"conv3_out\")\n",
    "\n",
    "        \n",
    "        \n",
    "        # 16x16x256 --> 16x16x512\n",
    "        # Conv --> BatchNorm --> LeakyReLU   \n",
    "        conv4 = tf.layers.conv2d(inputs = conv3_out,\n",
    "                                filters = 512,\n",
    "                                kernel_size = [5, 5],\n",
    "                                strides = [1, 1],\n",
    "                                padding = \"SAME\",\n",
    "                                kernel_initializer=tf.truncated_normal_initializer(stddev=0.02),\n",
    "                                name='conv4')\n",
    "        \n",
    "        batch_norm4 = tf.layers.batch_normalization(conv4,\n",
    "                                                   training = True,\n",
    "                                                   epsilon = 1e-5,\n",
    "                                                name = 'batch_norm4')\n",
    "        \n",
    "        conv4_out = tf.nn.leaky_relu(batch_norm4, alpha=alpha, name=\"conv4_out\")\n",
    "\n",
    "        \n",
    "        \n",
    "        # 16x16x512 --> 8x8x1024\n",
    "        # Conv --> BatchNorm --> LeakyReLU   \n",
    "        conv5 = tf.layers.conv2d(inputs = conv4_out,\n",
    "                                filters = 1024,\n",
    "                                kernel_size = [5, 5],\n",
    "                                strides = [2, 2],\n",
    "                                padding = \"SAME\",\n",
    "                                kernel_initializer=tf.truncated_normal_initializer(stddev=0.02),\n",
    "                                name='conv5')\n",
    "        \n",
    "        batch_norm5 = tf.layers.batch_normalization(conv5,\n",
    "                                                   training = True,\n",
    "                                                   epsilon = 1e-5,\n",
    "                                                name = 'batch_norm5')\n",
    "        \n",
    "        conv5_out = tf.nn.leaky_relu(batch_norm5, alpha=alpha, name=\"conv5_out\")\n",
    "\n",
    "         \n",
    "        # Flatten it\n",
    "        flatten = tf.reshape(conv5_out, (-1, 8*8*1024))\n",
    "        \n",
    "        # Logits\n",
    "        logits = tf.layers.dense(inputs = flatten,\n",
    "                                units = 1,\n",
    "                                activation = None)\n",
    "        \n",
    "        \n",
    "        out = tf.sigmoid(logits)\n",
    "        \n",
    "        return out, logits"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Discriminator and generator losses"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We train the g and d <b> at the same time </b> so we need losses for <b> both networks </b>\n",
    "\n",
    "#### Discriminator Loss\n",
    "Sum of loss for real and fake images\n",
    "<br>\n",
    "`d_loss = d_loss_real + d_loss_fake`\n",
    "<br><br>\n",
    "The losses will by <b> sigmoid cross entropy + wrap with tf.reduce_mean to get the mean for all the images in the batch.\n",
    "</b>\n",
    "\n",
    "##### Real image loss\n",
    "- Use `d_logits_real` and labels <b> are all 1 (since all real data is real) </b>\n",
    "- Label smoothing:  To help the discriminator generalize better, the labels are <b>reduced a bit from 1.0 to 0.9</b>\n",
    "`labels = tf.ones_like(tensor) * (1 - smooth)`\n",
    "For the real image loss, use the real logits and (smoothed) labels of ones. \n",
    "\n",
    "##### Fake image loss\n",
    "- Remember that we want the discriminator to output 1 for real images and 0 for fake images, so we need to set up the losses to reflect that\n",
    "- For the fake image loss, use the fake logits with labels of all zeros\n",
    "\n",
    "#### Generator Loss\n",
    "- The generator loss again uses the fake logits from the discriminator, but this time the labels are all ones because the generator wants to fool the discriminator."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "def model_loss(input_real, input_z, output_channel_dim, alpha):\n",
    "    \"\"\"\n",
    "    Get the loss for the discriminator and generator\n",
    "    :param input_real: Images from the real dataset\n",
    "    :param input_z: Z input\n",
    "    :param out_channel_dim: The number of channels in the output image\n",
    "    :return: A tuple of (discriminator loss, generator loss)\n",
    "    \"\"\"\n",
    "    # Generator network here\n",
    "    g_model = generator(input_z, output_channel_dim)   \n",
    "    # g_model is the generator output\n",
    "    \n",
    "    # Discriminator network here\n",
    "    d_model_real, d_logits_real = discriminator(input_real, alpha=alpha)\n",
    "    d_model_fake, d_logits_fake = discriminator(g_model,is_reuse=True, alpha=alpha)\n",
    "    \n",
    "    # Calculate losses\n",
    "    d_loss_real = tf.reduce_mean(\n",
    "                  tf.nn.sigmoid_cross_entropy_with_logits(logits=d_logits_real, \n",
    "                                                          labels=tf.ones_like(d_model_real)))\n",
    "    d_loss_fake = tf.reduce_mean(\n",
    "                  tf.nn.sigmoid_cross_entropy_with_logits(logits=d_logits_fake, \n",
    "                                                          labels=tf.zeros_like(d_model_fake)))\n",
    "    d_loss = d_loss_real + d_loss_fake\n",
    "\n",
    "    g_loss = tf.reduce_mean(\n",
    "             tf.nn.sigmoid_cross_entropy_with_logits(logits=d_logits_fake,\n",
    "                                                     labels=tf.ones_like(d_model_fake)))\n",
    "    \n",
    "    return d_loss, g_loss"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Optimizers\n",
    "<ul>\n",
    "    <li>Update the generator and discriminator <b>separately</b></li>\n",
    "    <li> So we need to get the var for each part : we use `tf.trainable_variables()`. This creates a list of all the variables we've defined in our graph. </li>\n",
    "</ul>\n",
    "- The train operations are wrapped in a with tf.control_dependencies block so the batch normalization layers can update their population statistics."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "def model_optimizers(d_loss, g_loss, lr_D, lr_G, beta1):\n",
    "    \"\"\"\n",
    "    Get optimization operations\n",
    "    :param d_loss: Discriminator loss Tensor\n",
    "    :param g_loss: Generator loss Tensor\n",
    "    :param learning_rate: Learning Rate Placeholder\n",
    "    :param beta1: The exponential decay rate for the 1st moment in the optimizer\n",
    "    :return: A tuple of (discriminator training operation, generator training operation)\n",
    "    \"\"\"    \n",
    "    # Get the trainable_variables, split into G and D parts\n",
    "    t_vars = tf.trainable_variables()\n",
    "    g_vars = [var for var in t_vars if var.name.startswith(\"generator\")]\n",
    "    d_vars = [var for var in t_vars if var.name.startswith(\"discriminator\")]\n",
    "    \n",
    "    update_ops = tf.get_collection(tf.GraphKeys.UPDATE_OPS)\n",
    "    \n",
    "    # Generator update\n",
    "    gen_updates = [op for op in update_ops if op.name.startswith('generator')]\n",
    "    \n",
    "    # Optimizers\n",
    "    with tf.control_dependencies(gen_updates):\n",
    "        d_train_opt = tf.train.AdamOptimizer(learning_rate=lr_D, beta1=beta1).minimize(d_loss, var_list=d_vars)\n",
    "        g_train_opt = tf.train.AdamOptimizer(learning_rate=lr_G, beta1=beta1).minimize(g_loss, var_list=g_vars)\n",
    "        \n",
    "    return d_train_opt, g_train_opt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Training 🏃‍♂️\n",
    "### Show output\n",
    "Use this function to show the current output of the generator during training. It will help you determine how well the GANs is training."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "def show_generator_output(sess, n_images, input_z, out_channel_dim, image_mode, image_path, save, show):\n",
    "    \"\"\"\n",
    "    Show example output for the generator\n",
    "    :param sess: TensorFlow session\n",
    "    :param n_images: Number of Images to display\n",
    "    :param input_z: Input Z Tensor\n",
    "    :param out_channel_dim: The number of channels in the output image\n",
    "    :param image_mode: The mode to use for images (\"RGB\" or \"L\")\n",
    "    :param image_path: Path to save the image\n",
    "    \"\"\"\n",
    "    cmap = None if image_mode == 'RGB' else 'gray'\n",
    "    z_dim = input_z.get_shape().as_list()[-1]\n",
    "    example_z = np.random.uniform(-1, 1, size=[n_images, z_dim])\n",
    "\n",
    "    samples = sess.run(\n",
    "        generator(input_z, out_channel_dim, False),\n",
    "        feed_dict={input_z: example_z})\n",
    "\n",
    "    images_grid = helper.images_square_grid(samples, image_mode)\n",
    "    \n",
    "    if save == True:\n",
    "        # Save image\n",
    "        images_grid.save(image_path, 'JPEG')\n",
    "    \n",
    "    if show == True:\n",
    "        plt.imshow(images_grid, cmap=cmap)\n",
    "        plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "def train(epoch_count, batch_size, z_dim, learning_rate_D, learning_rate_G, beta1, get_batches, data_shape, data_image_mode, alpha):\n",
    "    \"\"\"\n",
    "    Train the GAN\n",
    "    :param epoch_count: Number of epochs\n",
    "    :param batch_size: Batch Size\n",
    "    :param z_dim: Z dimension\n",
    "    :param learning_rate: Learning Rate\n",
    "    :param beta1: The exponential decay rate for the 1st moment in the optimizer\n",
    "    :param get_batches: Function to get batches\n",
    "    :param data_shape: Shape of the data\n",
    "    :param data_image_mode: The image mode to use for images (\"RGB\" or \"L\")\n",
    "    \"\"\"\n",
    "    # Create our input placeholders\n",
    "    input_images, input_z, lr_G, lr_D = model_inputs(data_shape[1:], z_dim)\n",
    "        \n",
    "    # Losses\n",
    "    d_loss, g_loss = model_loss(input_images, input_z, data_shape[3], alpha)\n",
    "    \n",
    "    # Optimizers\n",
    "    d_opt, g_opt = model_optimizers(d_loss, g_loss, lr_D, lr_G, beta1)\n",
    "    \n",
    "    i = 0\n",
    "    \n",
    "    version = \"firstTrain\"\n",
    "    with tf.Session() as sess:\n",
    "        sess.run(tf.global_variables_initializer())\n",
    "        \n",
    "        # Saver\n",
    "        saver = tf.train.Saver()\n",
    "        \n",
    "        num_epoch = 0\n",
    "        \n",
    "        if from_checkpoint == True:\n",
    "            saver.restore(sess, \"./models/model.ckpt\")\n",
    "            \n",
    "            show_generator_output(sess, 4, input_z, data_shape[3], data_image_mode, image_path, True, False)\n",
    "            \n",
    "        else:\n",
    "            for epoch_i in range(epoch_count):        \n",
    "                num_epoch += 1\n",
    "\n",
    "                if num_epoch % 5 == 0:\n",
    "\n",
    "                    # Save model every 5 epochs\n",
    "                    #if not os.path.exists(\"models/\" + version):\n",
    "                    #    os.makedirs(\"models/\" + version)\n",
    "                    save_path = saver.save(sess, \"./models/model.ckpt\")\n",
    "                    print(\"Model saved\")\n",
    "\n",
    "                for batch_images in get_batches(batch_size):\n",
    "                    # Random noise\n",
    "                    batch_z = np.random.uniform(-1, 1, size=(batch_size, z_dim))\n",
    "\n",
    "                    i += 1\n",
    "\n",
    "                    # Run optimizers\n",
    "                    _ = sess.run(d_opt, feed_dict={input_images: batch_images, input_z: batch_z, lr_D: learning_rate_D})\n",
    "                    _ = sess.run(g_opt, feed_dict={input_images: batch_images, input_z: batch_z, lr_G: learning_rate_G})\n",
    "\n",
    "                    if i % 10 == 0:\n",
    "                        train_loss_d = d_loss.eval({input_z: batch_z, input_images: batch_images})\n",
    "                        train_loss_g = g_loss.eval({input_z: batch_z})\n",
    "\n",
    "                        # Save it\n",
    "                        image_name = str(i) + \".jpg\"\n",
    "                        image_path = \"./images/\" + image_name\n",
    "                        show_generator_output(sess, 4, input_z, data_shape[3], data_image_mode, image_path, True, False) \n",
    "\n",
    "                    # Print every 5 epochs (for stability overwize the jupyter notebook will bug)\n",
    "                    if i % 1500 == 0:\n",
    "\n",
    "                        image_name = str(i) + \".jpg\"\n",
    "                        image_path = \"./images/\" + image_name\n",
    "                        print(\"Epoch {}/{}...\".format(epoch_i+1, epochs),\n",
    "                              \"Discriminator Loss: {:.4f}...\".format(train_loss_d),\n",
    "                              \"Generator Loss: {:.4f}\".format(train_loss_g))\n",
    "                        show_generator_output(sess, 4, input_z, data_shape[3], data_image_mode, image_path, False, True)\n",
    "                \n",
    "            \n",
    "                    \n",
    "    return losses, samples"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Hyperparameters\n",
    "Gans are <b> very sensitive to hyperparemeters </b>\n",
    "In general, you want the discriminator loss to be around 0.3, this means it is correctly classifying images as fake or real about 50% of the time."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Size input image for discriminator\n",
    "real_size = (128,128,3)\n",
    "\n",
    "# Size of latent vector to generator\n",
    "z_dim = 100\n",
    "learning_rate_D =  .00005 # Thanks to Alexia Jolicoeur Martineau https://ajolicoeur.wordpress.com/cats/\n",
    "learning_rate_G = 2e-4 # Thanks to Alexia Jolicoeur Martineau https://ajolicoeur.wordpress.com/cats/\n",
    "batch_size = 64\n",
    "epochs = 215\n",
    "alpha = 0.2\n",
    "beta1 = 0.5\n",
    "\n",
    "# Create the network\n",
    "#model = DGAN(real_size, z_size, learning_rate, alpha, beta1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Load the data and train the network here\n",
    "dataset = helper.Dataset(glob(os.path.join(data_resized_dir, '*.jpg')))\n",
    "\n",
    "with tf.Graph().as_default():\n",
    "    losses, samples = train(epochs, batch_size, z_dim, learning_rate_D, learning_rate_G, beta1, dataset.get_batches,\n",
    "          dataset.shape, dataset.image_mode, alpha)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Training Loss 📈"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "fig, ax = plt.subplots()\n",
    "losses = np.array(losses)\n",
    "plt.plot(losses.T[0], label='Discriminator', alpha=0.5)\n",
    "plt.plot(losses.T[1], label='Generator', alpha=0.5)\n",
    "plt.title(\"Training Losses\")\n",
    "plt.legend()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python [conda env:gameplai]",
   "language": "python",
   "name": "conda-env-gameplai-py"
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   "codemirror_mode": {
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   "version": "3.6.4"
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================================================
FILE: README.md
================================================
# CatDCGAN 🐱‍💻
A DGAN that generate Cat pictures
<br>
<img src="assets/output.png" alt="CatDCGAN Output" />

<p> Cat DCGAN is a Deep Convolutional Generative Adversarial Network (DCGAN) <b>that generates pictures of cats</b> </p>
This is an open source project 
<br>

## The tutorial 📃
If you want to implement it by yourself and understand how it works, <b>please read my article on FreeCodeCamp</b>  https://medium.freecodecamp.org/how-ai-can-learn-to-generate-pictures-of-cats-ba692cb6eae4

<br>

## Links 🔗
🌐 : https://simoninithomas.github.io/CatDCGAN/
<br><br>
<p> If you have any questions, <b> feel free to ask me: </b> </p>
<p> 📧: <a href="mailto:hello@simoninithomas.com">hello@simoninithomas.com</a>  </p>
<p> Github: https://github.com/simoninithomas/CatDCGAN </p>
<p> 🌐 : https://www.simoninithomas.com </p>
<p> Twitter: <a href="https://twitter.com/ThomasSimonini">@ThomasSimonini</a> </p>

In this part we're going to implement the DCGAN.
Our Architecture:<br><br>
<img src="assets/GDSchema.png" alt="Cat DCGAN Architecture"/>

## Getting Started 📝
- Download the dataset here: https://www.kaggle.com/crawford/cat-dataset
- <b> Download the model checkpoint </b> : https://drive.google.com/drive/folders/1zdZZ91fjOUiOsIdAQKZkUTATXzqy7hiz?usp=sharing
- Type `sh start.sh` it will handle extract, remove outliers, normalization and face centering
- Launch Jupyter Notebook `jupyter notebook --no-browser`
- Launch CatDCGAN
- Change `do_preprocess = True` ⚠️⚠️⚠️ important!
- <b> If you want to train from scratch </b>: change `from_checkpoint = False`
- <b> If you want to train from last model saved (you save 20 hours of training 🎉)</b> : change `from_checkpoint = True`

## Important note 🤔
<b> You can't run this on your computer </b> (except if you have GPUs or wait 10 years 😅), personally I train this DCGAN for 20 hours with Microsoft Azure and their Deep Learning Virtual Machine (they offer 170$)
https://azuremarketplace.microsoft.com/en-us/marketplace/apps/microsoft-ads.dsvm-deep-learning
<br>
⚠️ I don't have any business relations with them. I just loved their excellent customer service.

If you have some troubles to use follow the explainations of this excellent article here (without last the part fast.ai): https://medium.com/@manikantayadunanda/setting-up-deeplearning-machine-and-fast-ai-on-azure-a22eb6bd6429

## Contributing 🙌
If you want to contribute to the project, your help is very welcome. This is an open source project.

![](https://media.giphy.com/media/14cAg6Rn5jndIc/giphy.gif)


We currently working on improving our Generative adversarial network architecture. If you're motivated come join us and submit your pull requests.

## Acknowledgements 👏
This project was made possible thanks to:
- Udacity Face Generator Project 
- The start.sh and preprocess part (modified) made by Alexia Jolicoeur-Martineau https://ajolicoeur.wordpress.com/cats/
- Siraj's Raval PokeGan https://github.com/llSourcell/Pokemon_GAN
- The choice of learning rate by Alexia Jolicoeur-Martineau https://ajolicoeur.wordpress.com/cats/


<br>
<br>
<img src="assets/training2.gif" alt="Training DCGAN" />


================================================
FILE: docs/404.html
================================================
<!DOCTYPE html>
<html lang="en">
<head>
	<meta charset="utf-8">
	<meta http-equiv="X-UA-Compatible" content="IE=edge">
	<meta name="viewport" content="width=device-width, initial-scale=1">
	<!-- The above 3 meta tags *must* come first in the head; any other head content must come *after* these tags -->
	<title>404 Not Found</title>


	<!-- CSS -->
	<!-- Bootstrap CSS -->
	<link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/4.0.0-alpha.6/css/bootstrap.min.css" integrity="sha384-rwoIResjU2yc3z8GV/NPeZWAv56rSmLldC3R/AZzGRnGxQQKnKkoFVhFQhNUwEyJ" crossorigin="anonymous">

	<!-- Custom CSS -->
	<link href="assets/css/style.css" rel="stylesheet">

	<!-- Font Awesome -->
	<link href="assets/font awesome/css/font-awesome.min.css" rel="stylesheet">
</head>
<body>
	<div class="container-fluid hiw-section" style="text-align: center">
		<h1 > 404 Not Found </h1>
		<h2> Holey Moley a stoned cat! </h2>
		<br>
		<a href="https://github.com/simoninithomas/catDCGAN">
			<button type="button" class="btn btn-success"> Go home
			</button>
		</a>
		<br>
		<iframe src="https://giphy.com/embed/ssF5LFJblIdHi" width="371" height="480" frameBorder="0" class="giphy-embed" allowFullScreen></iframe><p><a href="https://giphy.com/gifs/cat-drugs-colors-ssF5LFJblIdHi">via GIPHY</a></p>
	</div>




================================================
FILE: docs/about.txt
================================================
This docs folder is where we put our website


================================================
FILE: docs/assets/css/style.css
================================================
@import url('https://fonts.googleapis.com/css?family=Roboto:300');
@import url('https://fonts.googleapis.com/css?family=Raleway');
@import url('https://fonts.googleapis.com/css?family=Open+Sans');
@import url('https://fonts.googleapis.com/css?family=Lato');
@import url('https://fonts.googleapis.com/css?family=Press+Start+2P');

.cat-image img {
	max-width: 80%!important;
	max-height:80%!important;
}

/*****************************************************
*                   General styles
*****************************************************/
a {
    color:white;
}

a:hover
{
    color:#778492!important;
}

.nav-link a:hover
{
    color:#778492;
}
.center {
    text-align: center;
}
.center img{
    text-align: center!important;
}

.padding{
    padding: 15px;
}

.video{
    padding: 0px;
}
.red{
    background-color: red;
    height: 150px;
}
.blue{
    background-color:blue;
    height: 150px;
}
h1 {
    font-family: 'Lato', cursive!important;
    color:white;
}

h2 {
    font-family: 'Lato',  cursive!important;
}

p {
    font-family: 'Open Sans', sans-serif;
}
li {
    display: block;
}

/*****************************************************
*                   Header section
*****************************************************/
/* Navbar */
.navbar {
    background: none !important;

}



.header-section {
    
    -webkit-background-size: cover;
    -moz-background-size: cover;
    background-size: cover;
    -o-background-size: cover;
    
}
.header-section *{
	color: black!important;
}


body, html {
    height: 100%;
}

.center{
    text-align: center!important;
}





.background-video {
    position: fixed;
    left: 0;
    top: 0;
    right:0;
    bottom:0;
    z-index: -99;

    /*width: 100%;
    height: 100vh;
    text-align: center;
    color: #000;*/
}
.above-background-video {
    z-index: 2;
    text-align: center;
    filter: blur(0px);
}




.about {
    position: absolute;
    height: 100vh;
    top: 90%;
    width: 100%;
    text-align: center;
    color: #000;
}

.catchphrase h1, p{
    color: white;
}

.logo {
    font-family: 'Lato', sans-serif;
}


/*****************************************************
*                   How it works section
*****************************************************/
.hiw-section{
    background-color:rgb(39,40,34);
    padding: 0!important;
}
.hiw-section h2{
    color:white;
}

.hiw-section p{
    color:white;
}
/*****************************************************
*                   Join section
*****************************************************/
.join-section p{
    color:black;
}
/********************************
Social icons
*********************************/
.social li {
    display: inline;
}
.socialBig li {
    display: inline;
}
.social-facebook a {
    background-color: #3b5998;
    width: 54px;
    height: 54px;
    display: inline-block;
    -webkit-border-radius: 50%;
    -moz-border-radius: 50%;
    -ms-border-radius: 50%;
    -o-border-radius: 50%;
    border-radius: 50%;
    -moz-background-clip: padding;
    -webkit-background-clip: padding-box;
    background-clip: padding-box;
    color: #fff;
    text-align: center;
}

.social-twitter a {
    background-color: #1da1f2;
    width: 54px;
    height: 54px;
    display: inline-block;
    -webkit-border-radius: 50%;
    -moz-border-radius: 50%;
    -ms-border-radius: 50%;
    -o-border-radius: 50%;
    border-radius: 50%;
    -moz-background-clip: padding;
    -webkit-background-clip: padding-box;
    background-clip: padding-box;
    color: #fff;
    text-align: center;
}
.social-angelList a {
    background-color: #34bf49;
    width: 54px;
    height: 54px;
    display: inline-block;
    -webkit-border-radius: 50%;
    -moz-border-radius: 50%;
    -ms-border-radius: 50%;
    -o-border-radius: 50%;
    border-radius: 50%;
    -moz-background-clip: padding;
    -webkit-background-clip: padding-box;
    background-clip: padding-box;
    color: #fff;
    text-align: center;
}
.social-productHunt a {
    background-color: #da552f;
    width: 54px;
    height: 54px;
    display: inline-block;
    -webkit-border-radius: 50%;
    -moz-border-radius: 50%;
    -ms-border-radius: 50%;
    -o-border-radius: 50%;
    border-radius: 50%;
    -moz-background-clip: padding;
    -webkit-background-clip: padding-box;
    background-clip: padding-box;
    color: #fff;
    text-align: center;
}

.social-stackoverflow a {
    background-color: #fe7a15;
    width: 54px;
    height: 54px;
    display: inline-block;
    -webkit-border-radius: 50%;
    -moz-border-radius: 50%;
    -ms-border-radius: 50%;
    -o-border-radius: 50%;
    border-radius: 50%;
    -moz-background-clip: padding;
    -webkit-background-clip: padding-box;
    background-clip: padding-box;
    color: #fff;
    text-align: center;
}

.social-stackoverflow a {
    background-color: #fe7a15;
    width: 54px;
    height: 54px;
    display: inline-block;
    -webkit-border-radius: 50%;
    -moz-border-radius: 50%;
    -ms-border-radius: 50%;
    -o-border-radius: 50%;
    border-radius: 50%;
    -moz-background-clip: padding;
    -webkit-background-clip: padding-box;
    background-clip: padding-box;
    color: #fff;
    text-align: center;
}

.social-email a {
    background-color: #34bf49;
    width: 54px;
    height: 54px;
    display: inline-block;
    -webkit-border-radius: 50%;
    -moz-border-radius: 50%;
    -ms-border-radius: 50%;
    -o-border-radius: 50%;
    border-radius: 50%;
    -moz-background-clip: padding;
    -webkit-background-clip: padding-box;
    background-clip: padding-box;
    color: #fff;
    text-align: center;
}


.social-github a {
    background-color: #333;
    width: 54px;
    height: 54px;
    display: inline-block;
    -webkit-border-radius: 50%;
    -moz-border-radius: 50%;
    -ms-border-radius: 50%;
    -o-border-radius: 50%;
    border-radius: 50%;
    -moz-background-clip: padding;
    -webkit-background-clip: padding-box;
    background-clip: padding-box;
    color: #fff;
    text-align: center;
}

.social-quora a {
    background-color: #a82400;
    width: 54px;
    height: 54px;
    display: inline-block;
    -webkit-border-radius: 50%;
    -moz-border-radius: 50%;
    -ms-border-radius: 50%;
    -o-border-radius: 50%;
    border-radius: 50%;
    -moz-background-clip: padding;
    -webkit-background-clip: padding-box;
    background-clip: padding-box;
    color: #fff;
    text-align: center;
}

.social-twitchBig a {
    background-color: #6441a5;
    width: 108px;
    height: 108px;
    display: inline-block;
    -webkit-border-radius: 50%;
    -moz-border-radius: 50%;
    -ms-border-radius: 50%;
    -o-border-radius: 50%;
    border-radius: 50%;
    -moz-background-clip: padding;
    -webkit-background-clip: padding-box;
    background-clip: padding-box;
    color: #fff;
    text-align: center;
}

.social-youtubeBig a {
    background-color: #ff0000;
    width: 108px;
    height: 108px;
    display: inline-block;
    -webkit-border-radius: 50%;
    -moz-border-radius: 50%;
    -ms-border-radius: 50%;
    -o-border-radius: 50%;
    border-radius: 50%;
    -moz-background-clip: padding;
    -webkit-background-clip: padding-box;
    background-clip: padding-box;
    color: #fff;
    text-align: center;
}

.social-twitch a {
    background-color: #6441a5;
    width: 54px;
    height: 54px;
    display: inline-block;
    -webkit-border-radius: 50%;
    -moz-border-radius: 50%;
    -ms-border-radius: 50%;
    -o-border-radius: 50%;
    border-radius: 50%;
    -moz-background-clip: padding;
    -webkit-background-clip: padding-box;
    background-clip: padding-box;
    color: #fff;
    text-align: center;
}

.social-youtube a {
    background-color: #ff0000;
    width: 54px;
    height: 54px;
    display: inline-block;
    -webkit-border-radius: 50%;
    -moz-border-radius: 50%;
    -ms-border-radius: 50%;
    -o-border-radius: 50%;
    border-radius: 50%;
    -moz-background-clip: padding;
    -webkit-background-clip: padding-box;
    background-clip: padding-box;
    color: #fff;
    text-align: center;
}
.social a:hover {
    filter: grayscale(1);
        -webkit-filter: grayscale(1);
        -moz-filter: grayscale(1);
        -o-filter: grayscale(1);
        -ms-filter: grayscale(1);
}

.social a .fa {
    font-size: 25px;
    padding-top: 14px;
}

.socialBig a .fa {
    font-size: 50px;
    padding-top: 28px;
}
.socialBig a:hover {
   filter: grayscale(1);
        -webkit-filter: grayscale(1);
        -moz-filter: grayscale(1);
        -o-filter: grayscale(1);
        -ms-filter: grayscale(1);
}

.nav-item *{
	font-size: 1.2em;
}

/*****************************************************
*                   Footer
*****************************************************/

footer p, a{
    color:black;
}

/*footer{
    background-color:rgb(39,40,34);
}*/









================================================
FILE: docs/assets/font awesome/HELP-US-OUT.txt
================================================
I hope you love Font Awesome. If you've found it useful, please do me a favor and check out my latest project,
Fort Awesome (https://fortawesome.com). It makes it easy to put the perfect icons on your website. Choose from our awesome,
comprehensive icon sets or copy and paste your own.

Please. Check it out.

-Dave Gandy


================================================
FILE: docs/assets/font awesome/css/font-awesome.css
================================================
/*!
 *  Font Awesome 4.7.0 by @davegandy - http://fontawesome.io - @fontawesome
 *  License - http://fontawesome.io/license (Font: SIL OFL 1.1, CSS: MIT License)
 */
/* FONT PATH
 * -------------------------- */
@font-face {
  font-family: 'FontAwesome';
  src: url('../fonts/fontawesome-webfont.eot?v=4.7.0');
  src: url('../fonts/fontawesome-webfont.eot?#iefix&v=4.7.0') format('embedded-opentype'), url('../fonts/fontawesome-webfont.woff2?v=4.7.0') format('woff2'), url('../fonts/fontawesome-webfont.woff?v=4.7.0') format('woff'), url('../fonts/fontawesome-webfont.ttf?v=4.7.0') format('truetype'), url('../fonts/fontawesome-webfont.svg?v=4.7.0#fontawesomeregular') format('svg');
  font-weight: normal;
  font-style: normal;
}
.fa {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
}
/* makes the font 33% larger relative to the icon container */
.fa-lg {
  font-size: 1.33333333em;
  line-height: 0.75em;
  vertical-align: -15%;
}
.fa-2x {
  font-size: 2em;
}
.fa-3x {
  font-size: 3em;
}
.fa-4x {
  font-size: 4em;
}
.fa-5x {
  font-size: 5em;
}
.fa-fw {
  width: 1.28571429em;
  text-align: center;
}
.fa-ul {
  padding-left: 0;
  margin-left: 2.14285714em;
  list-style-type: none;
}
.fa-ul > li {
  position: relative;
}
.fa-li {
  position: absolute;
  left: -2.14285714em;
  width: 2.14285714em;
  top: 0.14285714em;
  text-align: center;
}
.fa-li.fa-lg {
  left: -1.85714286em;
}
.fa-border {
  padding: .2em .25em .15em;
  border: solid 0.08em #eeeeee;
  border-radius: .1em;
}
.fa-pull-left {
  float: left;
}
.fa-pull-right {
  float: right;
}
.fa.fa-pull-left {
  margin-right: .3em;
}
.fa.fa-pull-right {
  margin-left: .3em;
}
/* Deprecated as of 4.4.0 */
.pull-right {
  float: right;
}
.pull-left {
  float: left;
}
.fa.pull-left {
  margin-right: .3em;
}
.fa.pull-right {
  margin-left: .3em;
}
.fa-spin {
  -webkit-animation: fa-spin 2s infinite linear;
  animation: fa-spin 2s infinite linear;
}
.fa-pulse {
  -webkit-animation: fa-spin 1s infinite steps(8);
  animation: fa-spin 1s infinite steps(8);
}
@-webkit-keyframes fa-spin {
  0% {
    -webkit-transform: rotate(0deg);
    transform: rotate(0deg);
  }
  100% {
    -webkit-transform: rotate(359deg);
    transform: rotate(359deg);
  }
}
@keyframes fa-spin {
  0% {
    -webkit-transform: rotate(0deg);
    transform: rotate(0deg);
  }
  100% {
    -webkit-transform: rotate(359deg);
    transform: rotate(359deg);
  }
}
.fa-rotate-90 {
  -ms-filter: "progid:DXImageTransform.Microsoft.BasicImage(rotation=1)";
  -webkit-transform: rotate(90deg);
  -ms-transform: rotate(90deg);
  transform: rotate(90deg);
}
.fa-rotate-180 {
  -ms-filter: "progid:DXImageTransform.Microsoft.BasicImage(rotation=2)";
  -webkit-transform: rotate(180deg);
  -ms-transform: rotate(180deg);
  transform: rotate(180deg);
}
.fa-rotate-270 {
  -ms-filter: "progid:DXImageTransform.Microsoft.BasicImage(rotation=3)";
  -webkit-transform: rotate(270deg);
  -ms-transform: rotate(270deg);
  transform: rotate(270deg);
}
.fa-flip-horizontal {
  -ms-filter: "progid:DXImageTransform.Microsoft.BasicImage(rotation=0, mirror=1)";
  -webkit-transform: scale(-1, 1);
  -ms-transform: scale(-1, 1);
  transform: scale(-1, 1);
}
.fa-flip-vertical {
  -ms-filter: "progid:DXImageTransform.Microsoft.BasicImage(rotation=2, mirror=1)";
  -webkit-transform: scale(1, -1);
  -ms-transform: scale(1, -1);
  transform: scale(1, -1);
}
:root .fa-rotate-90,
:root .fa-rotate-180,
:root .fa-rotate-270,
:root .fa-flip-horizontal,
:root .fa-flip-vertical {
  filter: none;
}
.fa-stack {
  position: relative;
  display: inline-block;
  width: 2em;
  height: 2em;
  line-height: 2em;
  vertical-align: middle;
}
.fa-stack-1x,
.fa-stack-2x {
  position: absolute;
  left: 0;
  width: 100%;
  text-align: center;
}
.fa-stack-1x {
  line-height: inherit;
}
.fa-stack-2x {
  font-size: 2em;
}
.fa-inverse {
  color: #ffffff;
}
/* Font Awesome uses the Unicode Private Use Area (PUA) to ensure screen
   readers do not read off random characters that represent icons */
.fa-glass:before {
  content: "\f000";
}
.fa-music:before {
  content: "\f001";
}
.fa-search:before {
  content: "\f002";
}
.fa-envelope-o:before {
  content: "\f003";
}
.fa-heart:before {
  content: "\f004";
}
.fa-star:before {
  content: "\f005";
}
.fa-star-o:before {
  content: "\f006";
}
.fa-user:before {
  content: "\f007";
}
.fa-film:before {
  content: "\f008";
}
.fa-th-large:before {
  content: "\f009";
}
.fa-th:before {
  content: "\f00a";
}
.fa-th-list:before {
  content: "\f00b";
}
.fa-check:before {
  content: "\f00c";
}
.fa-remove:before,
.fa-close:before,
.fa-times:before {
  content: "\f00d";
}
.fa-search-plus:before {
  content: "\f00e";
}
.fa-search-minus:before {
  content: "\f010";
}
.fa-power-off:before {
  content: "\f011";
}
.fa-signal:before {
  content: "\f012";
}
.fa-gear:before,
.fa-cog:before {
  content: "\f013";
}
.fa-trash-o:before {
  content: "\f014";
}
.fa-home:before {
  content: "\f015";
}
.fa-file-o:before {
  content: "\f016";
}
.fa-clock-o:before {
  content: "\f017";
}
.fa-road:before {
  content: "\f018";
}
.fa-download:before {
  content: "\f019";
}
.fa-arrow-circle-o-down:before {
  content: "\f01a";
}
.fa-arrow-circle-o-up:before {
  content: "\f01b";
}
.fa-inbox:before {
  content: "\f01c";
}
.fa-play-circle-o:before {
  content: "\f01d";
}
.fa-rotate-right:before,
.fa-repeat:before {
  content: "\f01e";
}
.fa-refresh:before {
  content: "\f021";
}
.fa-list-alt:before {
  content: "\f022";
}
.fa-lock:before {
  content: "\f023";
}
.fa-flag:before {
  content: "\f024";
}
.fa-headphones:before {
  content: "\f025";
}
.fa-volume-off:before {
  content: "\f026";
}
.fa-volume-down:before {
  content: "\f027";
}
.fa-volume-up:before {
  content: "\f028";
}
.fa-qrcode:before {
  content: "\f029";
}
.fa-barcode:before {
  content: "\f02a";
}
.fa-tag:before {
  content: "\f02b";
}
.fa-tags:before {
  content: "\f02c";
}
.fa-book:before {
  content: "\f02d";
}
.fa-bookmark:before {
  content: "\f02e";
}
.fa-print:before {
  content: "\f02f";
}
.fa-camera:before {
  content: "\f030";
}
.fa-font:before {
  content: "\f031";
}
.fa-bold:before {
  content: "\f032";
}
.fa-italic:before {
  content: "\f033";
}
.fa-text-height:before {
  content: "\f034";
}
.fa-text-width:before {
  content: "\f035";
}
.fa-align-left:before {
  content: "\f036";
}
.fa-align-center:before {
  content: "\f037";
}
.fa-align-right:before {
  content: "\f038";
}
.fa-align-justify:before {
  content: "\f039";
}
.fa-list:before {
  content: "\f03a";
}
.fa-dedent:before,
.fa-outdent:before {
  content: "\f03b";
}
.fa-indent:before {
  content: "\f03c";
}
.fa-video-camera:before {
  content: "\f03d";
}
.fa-photo:before,
.fa-image:before,
.fa-picture-o:before {
  content: "\f03e";
}
.fa-pencil:before {
  content: "\f040";
}
.fa-map-marker:before {
  content: "\f041";
}
.fa-adjust:before {
  content: "\f042";
}
.fa-tint:before {
  content: "\f043";
}
.fa-edit:before,
.fa-pencil-square-o:before {
  content: "\f044";
}
.fa-share-square-o:before {
  content: "\f045";
}
.fa-check-square-o:before {
  content: "\f046";
}
.fa-arrows:before {
  content: "\f047";
}
.fa-step-backward:before {
  content: "\f048";
}
.fa-fast-backward:before {
  content: "\f049";
}
.fa-backward:before {
  content: "\f04a";
}
.fa-play:before {
  content: "\f04b";
}
.fa-pause:before {
  content: "\f04c";
}
.fa-stop:before {
  content: "\f04d";
}
.fa-forward:before {
  content: "\f04e";
}
.fa-fast-forward:before {
  content: "\f050";
}
.fa-step-forward:before {
  content: "\f051";
}
.fa-eject:before {
  content: "\f052";
}
.fa-chevron-left:before {
  content: "\f053";
}
.fa-chevron-right:before {
  content: "\f054";
}
.fa-plus-circle:before {
  content: "\f055";
}
.fa-minus-circle:before {
  content: "\f056";
}
.fa-times-circle:before {
  content: "\f057";
}
.fa-check-circle:before {
  content: "\f058";
}
.fa-question-circle:before {
  content: "\f059";
}
.fa-info-circle:before {
  content: "\f05a";
}
.fa-crosshairs:before {
  content: "\f05b";
}
.fa-times-circle-o:before {
  content: "\f05c";
}
.fa-check-circle-o:before {
  content: "\f05d";
}
.fa-ban:before {
  content: "\f05e";
}
.fa-arrow-left:before {
  content: "\f060";
}
.fa-arrow-right:before {
  content: "\f061";
}
.fa-arrow-up:before {
  content: "\f062";
}
.fa-arrow-down:before {
  content: "\f063";
}
.fa-mail-forward:before,
.fa-share:before {
  content: "\f064";
}
.fa-expand:before {
  content: "\f065";
}
.fa-compress:before {
  content: "\f066";
}
.fa-plus:before {
  content: "\f067";
}
.fa-minus:before {
  content: "\f068";
}
.fa-asterisk:before {
  content: "\f069";
}
.fa-exclamation-circle:before {
  content: "\f06a";
}
.fa-gift:before {
  content: "\f06b";
}
.fa-leaf:before {
  content: "\f06c";
}
.fa-fire:before {
  content: "\f06d";
}
.fa-eye:before {
  content: "\f06e";
}
.fa-eye-slash:before {
  content: "\f070";
}
.fa-warning:before,
.fa-exclamation-triangle:before {
  content: "\f071";
}
.fa-plane:before {
  content: "\f072";
}
.fa-calendar:before {
  content: "\f073";
}
.fa-random:before {
  content: "\f074";
}
.fa-comment:before {
  content: "\f075";
}
.fa-magnet:before {
  content: "\f076";
}
.fa-chevron-up:before {
  content: "\f077";
}
.fa-chevron-down:before {
  content: "\f078";
}
.fa-retweet:before {
  content: "\f079";
}
.fa-shopping-cart:before {
  content: "\f07a";
}
.fa-folder:before {
  content: "\f07b";
}
.fa-folder-open:before {
  content: "\f07c";
}
.fa-arrows-v:before {
  content: "\f07d";
}
.fa-arrows-h:before {
  content: "\f07e";
}
.fa-bar-chart-o:before,
.fa-bar-chart:before {
  content: "\f080";
}
.fa-twitter-square:before {
  content: "\f081";
}
.fa-facebook-square:before {
  content: "\f082";
}
.fa-camera-retro:before {
  content: "\f083";
}
.fa-key:before {
  content: "\f084";
}
.fa-gears:before,
.fa-cogs:before {
  content: "\f085";
}
.fa-comments:before {
  content: "\f086";
}
.fa-thumbs-o-up:before {
  content: "\f087";
}
.fa-thumbs-o-down:before {
  content: "\f088";
}
.fa-star-half:before {
  content: "\f089";
}
.fa-heart-o:before {
  content: "\f08a";
}
.fa-sign-out:before {
  content: "\f08b";
}
.fa-linkedin-square:before {
  content: "\f08c";
}
.fa-thumb-tack:before {
  content: "\f08d";
}
.fa-external-link:before {
  content: "\f08e";
}
.fa-sign-in:before {
  content: "\f090";
}
.fa-trophy:before {
  content: "\f091";
}
.fa-github-square:before {
  content: "\f092";
}
.fa-upload:before {
  content: "\f093";
}
.fa-lemon-o:before {
  content: "\f094";
}
.fa-phone:before {
  content: "\f095";
}
.fa-square-o:before {
  content: "\f096";
}
.fa-bookmark-o:before {
  content: "\f097";
}
.fa-phone-square:before {
  content: "\f098";
}
.fa-twitter:before {
  content: "\f099";
}
.fa-facebook-f:before,
.fa-facebook:before {
  content: "\f09a";
}
.fa-github:before {
  content: "\f09b";
}
.fa-unlock:before {
  content: "\f09c";
}
.fa-credit-card:before {
  content: "\f09d";
}
.fa-feed:before,
.fa-rss:before {
  content: "\f09e";
}
.fa-hdd-o:before {
  content: "\f0a0";
}
.fa-bullhorn:before {
  content: "\f0a1";
}
.fa-bell:before {
  content: "\f0f3";
}
.fa-certificate:before {
  content: "\f0a3";
}
.fa-hand-o-right:before {
  content: "\f0a4";
}
.fa-hand-o-left:before {
  content: "\f0a5";
}
.fa-hand-o-up:before {
  content: "\f0a6";
}
.fa-hand-o-down:before {
  content: "\f0a7";
}
.fa-arrow-circle-left:before {
  content: "\f0a8";
}
.fa-arrow-circle-right:before {
  content: "\f0a9";
}
.fa-arrow-circle-up:before {
  content: "\f0aa";
}
.fa-arrow-circle-down:before {
  content: "\f0ab";
}
.fa-globe:before {
  content: "\f0ac";
}
.fa-wrench:before {
  content: "\f0ad";
}
.fa-tasks:before {
  content: "\f0ae";
}
.fa-filter:before {
  content: "\f0b0";
}
.fa-briefcase:before {
  content: "\f0b1";
}
.fa-arrows-alt:before {
  content: "\f0b2";
}
.fa-group:before,
.fa-users:before {
  content: "\f0c0";
}
.fa-chain:before,
.fa-link:before {
  content: "\f0c1";
}
.fa-cloud:before {
  content: "\f0c2";
}
.fa-flask:before {
  content: "\f0c3";
}
.fa-cut:before,
.fa-scissors:before {
  content: "\f0c4";
}
.fa-copy:before,
.fa-files-o:before {
  content: "\f0c5";
}
.fa-paperclip:before {
  content: "\f0c6";
}
.fa-save:before,
.fa-floppy-o:before {
  content: "\f0c7";
}
.fa-square:before {
  content: "\f0c8";
}
.fa-navicon:before,
.fa-reorder:before,
.fa-bars:before {
  content: "\f0c9";
}
.fa-list-ul:before {
  content: "\f0ca";
}
.fa-list-ol:before {
  content: "\f0cb";
}
.fa-strikethrough:before {
  content: "\f0cc";
}
.fa-underline:before {
  content: "\f0cd";
}
.fa-table:before {
  content: "\f0ce";
}
.fa-magic:before {
  content: "\f0d0";
}
.fa-truck:before {
  content: "\f0d1";
}
.fa-pinterest:before {
  content: "\f0d2";
}
.fa-pinterest-square:before {
  content: "\f0d3";
}
.fa-google-plus-square:before {
  content: "\f0d4";
}
.fa-google-plus:before {
  content: "\f0d5";
}
.fa-money:before {
  content: "\f0d6";
}
.fa-caret-down:before {
  content: "\f0d7";
}
.fa-caret-up:before {
  content: "\f0d8";
}
.fa-caret-left:before {
  content: "\f0d9";
}
.fa-caret-right:before {
  content: "\f0da";
}
.fa-columns:before {
  content: "\f0db";
}
.fa-unsorted:before,
.fa-sort:before {
  content: "\f0dc";
}
.fa-sort-down:before,
.fa-sort-desc:before {
  content: "\f0dd";
}
.fa-sort-up:before,
.fa-sort-asc:before {
  content: "\f0de";
}
.fa-envelope:before {
  content: "\f0e0";
}
.fa-linkedin:before {
  content: "\f0e1";
}
.fa-rotate-left:before,
.fa-undo:before {
  content: "\f0e2";
}
.fa-legal:before,
.fa-gavel:before {
  content: "\f0e3";
}
.fa-dashboard:before,
.fa-tachometer:before {
  content: "\f0e4";
}
.fa-comment-o:before {
  content: "\f0e5";
}
.fa-comments-o:before {
  content: "\f0e6";
}
.fa-flash:before,
.fa-bolt:before {
  content: "\f0e7";
}
.fa-sitemap:before {
  content: "\f0e8";
}
.fa-umbrella:before {
  content: "\f0e9";
}
.fa-paste:before,
.fa-clipboard:before {
  content: "\f0ea";
}
.fa-lightbulb-o:before {
  content: "\f0eb";
}
.fa-exchange:before {
  content: "\f0ec";
}
.fa-cloud-download:before {
  content: "\f0ed";
}
.fa-cloud-upload:before {
  content: "\f0ee";
}
.fa-user-md:before {
  content: "\f0f0";
}
.fa-stethoscope:before {
  content: "\f0f1";
}
.fa-suitcase:before {
  content: "\f0f2";
}
.fa-bell-o:before {
  content: "\f0a2";
}
.fa-coffee:before {
  content: "\f0f4";
}
.fa-cutlery:before {
  content: "\f0f5";
}
.fa-file-text-o:before {
  content: "\f0f6";
}
.fa-building-o:before {
  content: "\f0f7";
}
.fa-hospital-o:before {
  content: "\f0f8";
}
.fa-ambulance:before {
  content: "\f0f9";
}
.fa-medkit:before {
  content: "\f0fa";
}
.fa-fighter-jet:before {
  content: "\f0fb";
}
.fa-beer:before {
  content: "\f0fc";
}
.fa-h-square:before {
  content: "\f0fd";
}
.fa-plus-square:before {
  content: "\f0fe";
}
.fa-angle-double-left:before {
  content: "\f100";
}
.fa-angle-double-right:before {
  content: "\f101";
}
.fa-angle-double-up:before {
  content: "\f102";
}
.fa-angle-double-down:before {
  content: "\f103";
}
.fa-angle-left:before {
  content: "\f104";
}
.fa-angle-right:before {
  content: "\f105";
}
.fa-angle-up:before {
  content: "\f106";
}
.fa-angle-down:before {
  content: "\f107";
}
.fa-desktop:before {
  content: "\f108";
}
.fa-laptop:before {
  content: "\f109";
}
.fa-tablet:before {
  content: "\f10a";
}
.fa-mobile-phone:before,
.fa-mobile:before {
  content: "\f10b";
}
.fa-circle-o:before {
  content: "\f10c";
}
.fa-quote-left:before {
  content: "\f10d";
}
.fa-quote-right:before {
  content: "\f10e";
}
.fa-spinner:before {
  content: "\f110";
}
.fa-circle:before {
  content: "\f111";
}
.fa-mail-reply:before,
.fa-reply:before {
  content: "\f112";
}
.fa-github-alt:before {
  content: "\f113";
}
.fa-folder-o:before {
  content: "\f114";
}
.fa-folder-open-o:before {
  content: "\f115";
}
.fa-smile-o:before {
  content: "\f118";
}
.fa-frown-o:before {
  content: "\f119";
}
.fa-meh-o:before {
  content: "\f11a";
}
.fa-gamepad:before {
  content: "\f11b";
}
.fa-keyboard-o:before {
  content: "\f11c";
}
.fa-flag-o:before {
  content: "\f11d";
}
.fa-flag-checkered:before {
  content: "\f11e";
}
.fa-terminal:before {
  content: "\f120";
}
.fa-code:before {
  content: "\f121";
}
.fa-mail-reply-all:before,
.fa-reply-all:before {
  content: "\f122";
}
.fa-star-half-empty:before,
.fa-star-half-full:before,
.fa-star-half-o:before {
  content: "\f123";
}
.fa-location-arrow:before {
  content: "\f124";
}
.fa-crop:before {
  content: "\f125";
}
.fa-code-fork:before {
  content: "\f126";
}
.fa-unlink:before,
.fa-chain-broken:before {
  content: "\f127";
}
.fa-question:before {
  content: "\f128";
}
.fa-info:before {
  content: "\f129";
}
.fa-exclamation:before {
  content: "\f12a";
}
.fa-superscript:before {
  content: "\f12b";
}
.fa-subscript:before {
  content: "\f12c";
}
.fa-eraser:before {
  content: "\f12d";
}
.fa-puzzle-piece:before {
  content: "\f12e";
}
.fa-microphone:before {
  content: "\f130";
}
.fa-microphone-slash:before {
  content: "\f131";
}
.fa-shield:before {
  content: "\f132";
}
.fa-calendar-o:before {
  content: "\f133";
}
.fa-fire-extinguisher:before {
  content: "\f134";
}
.fa-rocket:before {
  content: "\f135";
}
.fa-maxcdn:before {
  content: "\f136";
}
.fa-chevron-circle-left:before {
  content: "\f137";
}
.fa-chevron-circle-right:before {
  content: "\f138";
}
.fa-chevron-circle-up:before {
  content: "\f139";
}
.fa-chevron-circle-down:before {
  content: "\f13a";
}
.fa-html5:before {
  content: "\f13b";
}
.fa-css3:before {
  content: "\f13c";
}
.fa-anchor:before {
  content: "\f13d";
}
.fa-unlock-alt:before {
  content: "\f13e";
}
.fa-bullseye:before {
  content: "\f140";
}
.fa-ellipsis-h:before {
  content: "\f141";
}
.fa-ellipsis-v:before {
  content: "\f142";
}
.fa-rss-square:before {
  content: "\f143";
}
.fa-play-circle:before {
  content: "\f144";
}
.fa-ticket:before {
  content: "\f145";
}
.fa-minus-square:before {
  content: "\f146";
}
.fa-minus-square-o:before {
  content: "\f147";
}
.fa-level-up:before {
  content: "\f148";
}
.fa-level-down:before {
  content: "\f149";
}
.fa-check-square:before {
  content: "\f14a";
}
.fa-pencil-square:before {
  content: "\f14b";
}
.fa-external-link-square:before {
  content: "\f14c";
}
.fa-share-square:before {
  content: "\f14d";
}
.fa-compass:before {
  content: "\f14e";
}
.fa-toggle-down:before,
.fa-caret-square-o-down:before {
  content: "\f150";
}
.fa-toggle-up:before,
.fa-caret-square-o-up:before {
  content: "\f151";
}
.fa-toggle-right:before,
.fa-caret-square-o-right:before {
  content: "\f152";
}
.fa-euro:before,
.fa-eur:before {
  content: "\f153";
}
.fa-gbp:before {
  content: "\f154";
}
.fa-dollar:before,
.fa-usd:before {
  content: "\f155";
}
.fa-rupee:before,
.fa-inr:before {
  content: "\f156";
}
.fa-cny:before,
.fa-rmb:before,
.fa-yen:before,
.fa-jpy:before {
  content: "\f157";
}
.fa-ruble:before,
.fa-rouble:before,
.fa-rub:before {
  content: "\f158";
}
.fa-won:before,
.fa-krw:before {
  content: "\f159";
}
.fa-bitcoin:before,
.fa-btc:before {
  content: "\f15a";
}
.fa-file:before {
  content: "\f15b";
}
.fa-file-text:before {
  content: "\f15c";
}
.fa-sort-alpha-asc:before {
  content: "\f15d";
}
.fa-sort-alpha-desc:before {
  content: "\f15e";
}
.fa-sort-amount-asc:before {
  content: "\f160";
}
.fa-sort-amount-desc:before {
  content: "\f161";
}
.fa-sort-numeric-asc:before {
  content: "\f162";
}
.fa-sort-numeric-desc:before {
  content: "\f163";
}
.fa-thumbs-up:before {
  content: "\f164";
}
.fa-thumbs-down:before {
  content: "\f165";
}
.fa-youtube-square:before {
  content: "\f166";
}
.fa-youtube:before {
  content: "\f167";
}
.fa-xing:before {
  content: "\f168";
}
.fa-xing-square:before {
  content: "\f169";
}
.fa-youtube-play:before {
  content: "\f16a";
}
.fa-dropbox:before {
  content: "\f16b";
}
.fa-stack-overflow:before {
  content: "\f16c";
}
.fa-instagram:before {
  content: "\f16d";
}
.fa-flickr:before {
  content: "\f16e";
}
.fa-adn:before {
  content: "\f170";
}
.fa-bitbucket:before {
  content: "\f171";
}
.fa-bitbucket-square:before {
  content: "\f172";
}
.fa-tumblr:before {
  content: "\f173";
}
.fa-tumblr-square:before {
  content: "\f174";
}
.fa-long-arrow-down:before {
  content: "\f175";
}
.fa-long-arrow-up:before {
  content: "\f176";
}
.fa-long-arrow-left:before {
  content: "\f177";
}
.fa-long-arrow-right:before {
  content: "\f178";
}
.fa-apple:before {
  content: "\f179";
}
.fa-windows:before {
  content: "\f17a";
}
.fa-android:before {
  content: "\f17b";
}
.fa-linux:before {
  content: "\f17c";
}
.fa-dribbble:before {
  content: "\f17d";
}
.fa-skype:before {
  content: "\f17e";
}
.fa-foursquare:before {
  content: "\f180";
}
.fa-trello:before {
  content: "\f181";
}
.fa-female:before {
  content: "\f182";
}
.fa-male:before {
  content: "\f183";
}
.fa-gittip:before,
.fa-gratipay:before {
  content: "\f184";
}
.fa-sun-o:before {
  content: "\f185";
}
.fa-moon-o:before {
  content: "\f186";
}
.fa-archive:before {
  content: "\f187";
}
.fa-bug:before {
  content: "\f188";
}
.fa-vk:before {
  content: "\f189";
}
.fa-weibo:before {
  content: "\f18a";
}
.fa-renren:before {
  content: "\f18b";
}
.fa-pagelines:before {
  content: "\f18c";
}
.fa-stack-exchange:before {
  content: "\f18d";
}
.fa-arrow-circle-o-right:before {
  content: "\f18e";
}
.fa-arrow-circle-o-left:before {
  content: "\f190";
}
.fa-toggle-left:before,
.fa-caret-square-o-left:before {
  content: "\f191";
}
.fa-dot-circle-o:before {
  content: "\f192";
}
.fa-wheelchair:before {
  content: "\f193";
}
.fa-vimeo-square:before {
  content: "\f194";
}
.fa-turkish-lira:before,
.fa-try:before {
  content: "\f195";
}
.fa-plus-square-o:before {
  content: "\f196";
}
.fa-space-shuttle:before {
  content: "\f197";
}
.fa-slack:before {
  content: "\f198";
}
.fa-envelope-square:before {
  content: "\f199";
}
.fa-wordpress:before {
  content: "\f19a";
}
.fa-openid:before {
  content: "\f19b";
}
.fa-institution:before,
.fa-bank:before,
.fa-university:before {
  content: "\f19c";
}
.fa-mortar-board:before,
.fa-graduation-cap:before {
  content: "\f19d";
}
.fa-yahoo:before {
  content: "\f19e";
}
.fa-google:before {
  content: "\f1a0";
}
.fa-reddit:before {
  content: "\f1a1";
}
.fa-reddit-square:before {
  content: "\f1a2";
}
.fa-stumbleupon-circle:before {
  content: "\f1a3";
}
.fa-stumbleupon:before {
  content: "\f1a4";
}
.fa-delicious:before {
  content: "\f1a5";
}
.fa-digg:before {
  content: "\f1a6";
}
.fa-pied-piper-pp:before {
  content: "\f1a7";
}
.fa-pied-piper-alt:before {
  content: "\f1a8";
}
.fa-drupal:before {
  content: "\f1a9";
}
.fa-joomla:before {
  content: "\f1aa";
}
.fa-language:before {
  content: "\f1ab";
}
.fa-fax:before {
  content: "\f1ac";
}
.fa-building:before {
  content: "\f1ad";
}
.fa-child:before {
  content: "\f1ae";
}
.fa-paw:before {
  content: "\f1b0";
}
.fa-spoon:before {
  content: "\f1b1";
}
.fa-cube:before {
  content: "\f1b2";
}
.fa-cubes:before {
  content: "\f1b3";
}
.fa-behance:before {
  content: "\f1b4";
}
.fa-behance-square:before {
  content: "\f1b5";
}
.fa-steam:before {
  content: "\f1b6";
}
.fa-steam-square:before {
  content: "\f1b7";
}
.fa-recycle:before {
  content: "\f1b8";
}
.fa-automobile:before,
.fa-car:before {
  content: "\f1b9";
}
.fa-cab:before,
.fa-taxi:before {
  content: "\f1ba";
}
.fa-tree:before {
  content: "\f1bb";
}
.fa-spotify:before {
  content: "\f1bc";
}
.fa-deviantart:before {
  content: "\f1bd";
}
.fa-soundcloud:before {
  content: "\f1be";
}
.fa-database:before {
  content: "\f1c0";
}
.fa-file-pdf-o:before {
  content: "\f1c1";
}
.fa-file-word-o:before {
  content: "\f1c2";
}
.fa-file-excel-o:before {
  content: "\f1c3";
}
.fa-file-powerpoint-o:before {
  content: "\f1c4";
}
.fa-file-photo-o:before,
.fa-file-picture-o:before,
.fa-file-image-o:before {
  content: "\f1c5";
}
.fa-file-zip-o:before,
.fa-file-archive-o:before {
  content: "\f1c6";
}
.fa-file-sound-o:before,
.fa-file-audio-o:before {
  content: "\f1c7";
}
.fa-file-movie-o:before,
.fa-file-video-o:before {
  content: "\f1c8";
}
.fa-file-code-o:before {
  content: "\f1c9";
}
.fa-vine:before {
  content: "\f1ca";
}
.fa-codepen:before {
  content: "\f1cb";
}
.fa-jsfiddle:before {
  content: "\f1cc";
}
.fa-life-bouy:before,
.fa-life-buoy:before,
.fa-life-saver:before,
.fa-support:before,
.fa-life-ring:before {
  content: "\f1cd";
}
.fa-circle-o-notch:before {
  content: "\f1ce";
}
.fa-ra:before,
.fa-resistance:before,
.fa-rebel:before {
  content: "\f1d0";
}
.fa-ge:before,
.fa-empire:before {
  content: "\f1d1";
}
.fa-git-square:before {
  content: "\f1d2";
}
.fa-git:before {
  content: "\f1d3";
}
.fa-y-combinator-square:before,
.fa-yc-square:before,
.fa-hacker-news:before {
  content: "\f1d4";
}
.fa-tencent-weibo:before {
  content: "\f1d5";
}
.fa-qq:before {
  content: "\f1d6";
}
.fa-wechat:before,
.fa-weixin:before {
  content: "\f1d7";
}
.fa-send:before,
.fa-paper-plane:before {
  content: "\f1d8";
}
.fa-send-o:before,
.fa-paper-plane-o:before {
  content: "\f1d9";
}
.fa-history:before {
  content: "\f1da";
}
.fa-circle-thin:before {
  content: "\f1db";
}
.fa-header:before {
  content: "\f1dc";
}
.fa-paragraph:before {
  content: "\f1dd";
}
.fa-sliders:before {
  content: "\f1de";
}
.fa-share-alt:before {
  content: "\f1e0";
}
.fa-share-alt-square:before {
  content: "\f1e1";
}
.fa-bomb:before {
  content: "\f1e2";
}
.fa-soccer-ball-o:before,
.fa-futbol-o:before {
  content: "\f1e3";
}
.fa-tty:before {
  content: "\f1e4";
}
.fa-binoculars:before {
  content: "\f1e5";
}
.fa-plug:before {
  content: "\f1e6";
}
.fa-slideshare:before {
  content: "\f1e7";
}
.fa-twitch:before {
  content: "\f1e8";
}
.fa-yelp:before {
  content: "\f1e9";
}
.fa-newspaper-o:before {
  content: "\f1ea";
}
.fa-wifi:before {
  content: "\f1eb";
}
.fa-calculator:before {
  content: "\f1ec";
}
.fa-paypal:before {
  content: "\f1ed";
}
.fa-google-wallet:before {
  content: "\f1ee";
}
.fa-cc-visa:before {
  content: "\f1f0";
}
.fa-cc-mastercard:before {
  content: "\f1f1";
}
.fa-cc-discover:before {
  content: "\f1f2";
}
.fa-cc-amex:before {
  content: "\f1f3";
}
.fa-cc-paypal:before {
  content: "\f1f4";
}
.fa-cc-stripe:before {
  content: "\f1f5";
}
.fa-bell-slash:before {
  content: "\f1f6";
}
.fa-bell-slash-o:before {
  content: "\f1f7";
}
.fa-trash:before {
  content: "\f1f8";
}
.fa-copyright:before {
  content: "\f1f9";
}
.fa-at:before {
  content: "\f1fa";
}
.fa-eyedropper:before {
  content: "\f1fb";
}
.fa-paint-brush:before {
  content: "\f1fc";
}
.fa-birthday-cake:before {
  content: "\f1fd";
}
.fa-area-chart:before {
  content: "\f1fe";
}
.fa-pie-chart:before {
  content: "\f200";
}
.fa-line-chart:before {
  content: "\f201";
}
.fa-lastfm:before {
  content: "\f202";
}
.fa-lastfm-square:before {
  content: "\f203";
}
.fa-toggle-off:before {
  content: "\f204";
}
.fa-toggle-on:before {
  content: "\f205";
}
.fa-bicycle:before {
  content: "\f206";
}
.fa-bus:before {
  content: "\f207";
}
.fa-ioxhost:before {
  content: "\f208";
}
.fa-angellist:before {
  content: "\f209";
}
.fa-cc:before {
  content: "\f20a";
}
.fa-shekel:before,
.fa-sheqel:before,
.fa-ils:before {
  content: "\f20b";
}
.fa-meanpath:before {
  content: "\f20c";
}
.fa-buysellads:before {
  content: "\f20d";
}
.fa-connectdevelop:before {
  content: "\f20e";
}
.fa-dashcube:before {
  content: "\f210";
}
.fa-forumbee:before {
  content: "\f211";
}
.fa-leanpub:before {
  content: "\f212";
}
.fa-sellsy:before {
  content: "\f213";
}
.fa-shirtsinbulk:before {
  content: "\f214";
}
.fa-simplybuilt:before {
  content: "\f215";
}
.fa-skyatlas:before {
  content: "\f216";
}
.fa-cart-plus:before {
  content: "\f217";
}
.fa-cart-arrow-down:before {
  content: "\f218";
}
.fa-diamond:before {
  content: "\f219";
}
.fa-ship:before {
  content: "\f21a";
}
.fa-user-secret:before {
  content: "\f21b";
}
.fa-motorcycle:before {
  content: "\f21c";
}
.fa-street-view:before {
  content: "\f21d";
}
.fa-heartbeat:before {
  content: "\f21e";
}
.fa-venus:before {
  content: "\f221";
}
.fa-mars:before {
  content: "\f222";
}
.fa-mercury:before {
  content: "\f223";
}
.fa-intersex:before,
.fa-transgender:before {
  content: "\f224";
}
.fa-transgender-alt:before {
  content: "\f225";
}
.fa-venus-double:before {
  content: "\f226";
}
.fa-mars-double:before {
  content: "\f227";
}
.fa-venus-mars:before {
  content: "\f228";
}
.fa-mars-stroke:before {
  content: "\f229";
}
.fa-mars-stroke-v:before {
  content: "\f22a";
}
.fa-mars-stroke-h:before {
  content: "\f22b";
}
.fa-neuter:before {
  content: "\f22c";
}
.fa-genderless:before {
  content: "\f22d";
}
.fa-facebook-official:before {
  content: "\f230";
}
.fa-pinterest-p:before {
  content: "\f231";
}
.fa-whatsapp:before {
  content: "\f232";
}
.fa-server:before {
  content: "\f233";
}
.fa-user-plus:before {
  content: "\f234";
}
.fa-user-times:before {
  content: "\f235";
}
.fa-hotel:before,
.fa-bed:before {
  content: "\f236";
}
.fa-viacoin:before {
  content: "\f237";
}
.fa-train:before {
  content: "\f238";
}
.fa-subway:before {
  content: "\f239";
}
.fa-medium:before {
  content: "\f23a";
}
.fa-yc:before,
.fa-y-combinator:before {
  content: "\f23b";
}
.fa-optin-monster:before {
  content: "\f23c";
}
.fa-opencart:before {
  content: "\f23d";
}
.fa-expeditedssl:before {
  content: "\f23e";
}
.fa-battery-4:before,
.fa-battery:before,
.fa-battery-full:before {
  content: "\f240";
}
.fa-battery-3:before,
.fa-battery-three-quarters:before {
  content: "\f241";
}
.fa-battery-2:before,
.fa-battery-half:before {
  content: "\f242";
}
.fa-battery-1:before,
.fa-battery-quarter:before {
  content: "\f243";
}
.fa-battery-0:before,
.fa-battery-empty:before {
  content: "\f244";
}
.fa-mouse-pointer:before {
  content: "\f245";
}
.fa-i-cursor:before {
  content: "\f246";
}
.fa-object-group:before {
  content: "\f247";
}
.fa-object-ungroup:before {
  content: "\f248";
}
.fa-sticky-note:before {
  content: "\f249";
}
.fa-sticky-note-o:before {
  content: "\f24a";
}
.fa-cc-jcb:before {
  content: "\f24b";
}
.fa-cc-diners-club:before {
  content: "\f24c";
}
.fa-clone:before {
  content: "\f24d";
}
.fa-balance-scale:before {
  content: "\f24e";
}
.fa-hourglass-o:before {
  content: "\f250";
}
.fa-hourglass-1:before,
.fa-hourglass-start:before {
  content: "\f251";
}
.fa-hourglass-2:before,
.fa-hourglass-half:before {
  content: "\f252";
}
.fa-hourglass-3:before,
.fa-hourglass-end:before {
  content: "\f253";
}
.fa-hourglass:before {
  content: "\f254";
}
.fa-hand-grab-o:before,
.fa-hand-rock-o:before {
  content: "\f255";
}
.fa-hand-stop-o:before,
.fa-hand-paper-o:before {
  content: "\f256";
}
.fa-hand-scissors-o:before {
  content: "\f257";
}
.fa-hand-lizard-o:before {
  content: "\f258";
}
.fa-hand-spock-o:before {
  content: "\f259";
}
.fa-hand-pointer-o:before {
  content: "\f25a";
}
.fa-hand-peace-o:before {
  content: "\f25b";
}
.fa-trademark:before {
  content: "\f25c";
}
.fa-registered:before {
  content: "\f25d";
}
.fa-creative-commons:before {
  content: "\f25e";
}
.fa-gg:before {
  content: "\f260";
}
.fa-gg-circle:before {
  content: "\f261";
}
.fa-tripadvisor:before {
  content: "\f262";
}
.fa-odnoklassniki:before {
  content: "\f263";
}
.fa-odnoklassniki-square:before {
  content: "\f264";
}
.fa-get-pocket:before {
  content: "\f265";
}
.fa-wikipedia-w:before {
  content: "\f266";
}
.fa-safari:before {
  content: "\f267";
}
.fa-chrome:before {
  content: "\f268";
}
.fa-firefox:before {
  content: "\f269";
}
.fa-opera:before {
  content: "\f26a";
}
.fa-internet-explorer:before {
  content: "\f26b";
}
.fa-tv:before,
.fa-television:before {
  content: "\f26c";
}
.fa-contao:before {
  content: "\f26d";
}
.fa-500px:before {
  content: "\f26e";
}
.fa-amazon:before {
  content: "\f270";
}
.fa-calendar-plus-o:before {
  content: "\f271";
}
.fa-calendar-minus-o:before {
  content: "\f272";
}
.fa-calendar-times-o:before {
  content: "\f273";
}
.fa-calendar-check-o:before {
  content: "\f274";
}
.fa-industry:before {
  content: "\f275";
}
.fa-map-pin:before {
  content: "\f276";
}
.fa-map-signs:before {
  content: "\f277";
}
.fa-map-o:before {
  content: "\f278";
}
.fa-map:before {
  content: "\f279";
}
.fa-commenting:before {
  content: "\f27a";
}
.fa-commenting-o:before {
  content: "\f27b";
}
.fa-houzz:before {
  content: "\f27c";
}
.fa-vimeo:before {
  content: "\f27d";
}
.fa-black-tie:before {
  content: "\f27e";
}
.fa-fonticons:before {
  content: "\f280";
}
.fa-reddit-alien:before {
  content: "\f281";
}
.fa-edge:before {
  content: "\f282";
}
.fa-credit-card-alt:before {
  content: "\f283";
}
.fa-codiepie:before {
  content: "\f284";
}
.fa-modx:before {
  content: "\f285";
}
.fa-fort-awesome:before {
  content: "\f286";
}
.fa-usb:before {
  content: "\f287";
}
.fa-product-hunt:before {
  content: "\f288";
}
.fa-mixcloud:before {
  content: "\f289";
}
.fa-scribd:before {
  content: "\f28a";
}
.fa-pause-circle:before {
  content: "\f28b";
}
.fa-pause-circle-o:before {
  content: "\f28c";
}
.fa-stop-circle:before {
  content: "\f28d";
}
.fa-stop-circle-o:before {
  content: "\f28e";
}
.fa-shopping-bag:before {
  content: "\f290";
}
.fa-shopping-basket:before {
  content: "\f291";
}
.fa-hashtag:before {
  content: "\f292";
}
.fa-bluetooth:before {
  content: "\f293";
}
.fa-bluetooth-b:before {
  content: "\f294";
}
.fa-percent:before {
  content: "\f295";
}
.fa-gitlab:before {
  content: "\f296";
}
.fa-wpbeginner:before {
  content: "\f297";
}
.fa-wpforms:before {
  content: "\f298";
}
.fa-envira:before {
  content: "\f299";
}
.fa-universal-access:before {
  content: "\f29a";
}
.fa-wheelchair-alt:before {
  content: "\f29b";
}
.fa-question-circle-o:before {
  content: "\f29c";
}
.fa-blind:before {
  content: "\f29d";
}
.fa-audio-description:before {
  content: "\f29e";
}
.fa-volume-control-phone:before {
  content: "\f2a0";
}
.fa-braille:before {
  content: "\f2a1";
}
.fa-assistive-listening-systems:before {
  content: "\f2a2";
}
.fa-asl-interpreting:before,
.fa-american-sign-language-interpreting:before {
  content: "\f2a3";
}
.fa-deafness:before,
.fa-hard-of-hearing:before,
.fa-deaf:before {
  content: "\f2a4";
}
.fa-glide:before {
  content: "\f2a5";
}
.fa-glide-g:before {
  content: "\f2a6";
}
.fa-signing:before,
.fa-sign-language:before {
  content: "\f2a7";
}
.fa-low-vision:before {
  content: "\f2a8";
}
.fa-viadeo:before {
  content: "\f2a9";
}
.fa-viadeo-square:before {
  content: "\f2aa";
}
.fa-snapchat:before {
  content: "\f2ab";
}
.fa-snapchat-ghost:before {
  content: "\f2ac";
}
.fa-snapchat-square:before {
  content: "\f2ad";
}
.fa-pied-piper:before {
  content: "\f2ae";
}
.fa-first-order:before {
  content: "\f2b0";
}
.fa-yoast:before {
  content: "\f2b1";
}
.fa-themeisle:before {
  content: "\f2b2";
}
.fa-google-plus-circle:before,
.fa-google-plus-official:before {
  content: "\f2b3";
}
.fa-fa:before,
.fa-font-awesome:before {
  content: "\f2b4";
}
.fa-handshake-o:before {
  content: "\f2b5";
}
.fa-envelope-open:before {
  content: "\f2b6";
}
.fa-envelope-open-o:before {
  content: "\f2b7";
}
.fa-linode:before {
  content: "\f2b8";
}
.fa-address-book:before {
  content: "\f2b9";
}
.fa-address-book-o:before {
  content: "\f2ba";
}
.fa-vcard:before,
.fa-address-card:before {
  content: "\f2bb";
}
.fa-vcard-o:before,
.fa-address-card-o:before {
  content: "\f2bc";
}
.fa-user-circle:before {
  content: "\f2bd";
}
.fa-user-circle-o:before {
  content: "\f2be";
}
.fa-user-o:before {
  content: "\f2c0";
}
.fa-id-badge:before {
  content: "\f2c1";
}
.fa-drivers-license:before,
.fa-id-card:before {
  content: "\f2c2";
}
.fa-drivers-license-o:before,
.fa-id-card-o:before {
  content: "\f2c3";
}
.fa-quora:before {
  content: "\f2c4";
}
.fa-free-code-camp:before {
  content: "\f2c5";
}
.fa-telegram:before {
  content: "\f2c6";
}
.fa-thermometer-4:before,
.fa-thermometer:before,
.fa-thermometer-full:before {
  content: "\f2c7";
}
.fa-thermometer-3:before,
.fa-thermometer-three-quarters:before {
  content: "\f2c8";
}
.fa-thermometer-2:before,
.fa-thermometer-half:before {
  content: "\f2c9";
}
.fa-thermometer-1:before,
.fa-thermometer-quarter:before {
  content: "\f2ca";
}
.fa-thermometer-0:before,
.fa-thermometer-empty:before {
  content: "\f2cb";
}
.fa-shower:before {
  content: "\f2cc";
}
.fa-bathtub:before,
.fa-s15:before,
.fa-bath:before {
  content: "\f2cd";
}
.fa-podcast:before {
  content: "\f2ce";
}
.fa-window-maximize:before {
  content: "\f2d0";
}
.fa-window-minimize:before {
  content: "\f2d1";
}
.fa-window-restore:before {
  content: "\f2d2";
}
.fa-times-rectangle:before,
.fa-window-close:before {
  content: "\f2d3";
}
.fa-times-rectangle-o:before,
.fa-window-close-o:before {
  content: "\f2d4";
}
.fa-bandcamp:before {
  content: "\f2d5";
}
.fa-grav:before {
  content: "\f2d6";
}
.fa-etsy:before {
  content: "\f2d7";
}
.fa-imdb:before {
  content: "\f2d8";
}
.fa-ravelry:before {
  content: "\f2d9";
}
.fa-eercast:before {
  content: "\f2da";
}
.fa-microchip:before {
  content: "\f2db";
}
.fa-snowflake-o:before {
  content: "\f2dc";
}
.fa-superpowers:before {
  content: "\f2dd";
}
.fa-wpexplorer:before {
  content: "\f2de";
}
.fa-meetup:before {
  content: "\f2e0";
}
.sr-only {
  position: absolute;
  width: 1px;
  height: 1px;
  padding: 0;
  margin: -1px;
  overflow: hidden;
  clip: rect(0, 0, 0, 0);
  border: 0;
}
.sr-only-focusable:active,
.sr-only-focusable:focus {
  position: static;
  width: auto;
  height: auto;
  margin: 0;
  overflow: visible;
  clip: auto;
}


================================================
FILE: docs/assets/font awesome/less/animated.less
================================================
// Animated Icons
// --------------------------

.@{fa-css-prefix}-spin {
  -webkit-animation: fa-spin 2s infinite linear;
          animation: fa-spin 2s infinite linear;
}

.@{fa-css-prefix}-pulse {
  -webkit-animation: fa-spin 1s infinite steps(8);
          animation: fa-spin 1s infinite steps(8);
}

@-webkit-keyframes fa-spin {
  0% {
    -webkit-transform: rotate(0deg);
            transform: rotate(0deg);
  }
  100% {
    -webkit-transform: rotate(359deg);
            transform: rotate(359deg);
  }
}

@keyframes fa-spin {
  0% {
    -webkit-transform: rotate(0deg);
            transform: rotate(0deg);
  }
  100% {
    -webkit-transform: rotate(359deg);
            transform: rotate(359deg);
  }
}


================================================
FILE: docs/assets/font awesome/less/bordered-pulled.less
================================================
// Bordered & Pulled
// -------------------------

.@{fa-css-prefix}-border {
  padding: .2em .25em .15em;
  border: solid .08em @fa-border-color;
  border-radius: .1em;
}

.@{fa-css-prefix}-pull-left { float: left; }
.@{fa-css-prefix}-pull-right { float: right; }

.@{fa-css-prefix} {
  &.@{fa-css-prefix}-pull-left { margin-right: .3em; }
  &.@{fa-css-prefix}-pull-right { margin-left: .3em; }
}

/* Deprecated as of 4.4.0 */
.pull-right { float: right; }
.pull-left { float: left; }

.@{fa-css-prefix} {
  &.pull-left { margin-right: .3em; }
  &.pull-right { margin-left: .3em; }
}


================================================
FILE: docs/assets/font awesome/less/core.less
================================================
// Base Class Definition
// -------------------------

.@{fa-css-prefix} {
  display: inline-block;
  font: normal normal normal @fa-font-size-base/@fa-line-height-base FontAwesome; // shortening font declaration
  font-size: inherit; // can't have font-size inherit on line above, so need to override
  text-rendering: auto; // optimizelegibility throws things off #1094
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;

}


================================================
FILE: docs/assets/font awesome/less/fixed-width.less
================================================
// Fixed Width Icons
// -------------------------
.@{fa-css-prefix}-fw {
  width: (18em / 14);
  text-align: center;
}


================================================
FILE: docs/assets/font awesome/less/font-awesome.less
================================================
/*!
 *  Font Awesome 4.7.0 by @davegandy - http://fontawesome.io - @fontawesome
 *  License - http://fontawesome.io/license (Font: SIL OFL 1.1, CSS: MIT License)
 */

@import "variables.less";
@import "mixins.less";
@import "path.less";
@import "core.less";
@import "larger.less";
@import "fixed-width.less";
@import "list.less";
@import "bordered-pulled.less";
@import "animated.less";
@import "rotated-flipped.less";
@import "stacked.less";
@import "icons.less";
@import "screen-reader.less";


================================================
FILE: docs/assets/font awesome/less/icons.less
================================================
/* Font Awesome uses the Unicode Private Use Area (PUA) to ensure screen
   readers do not read off random characters that represent icons */

.@{fa-css-prefix}-glass:before { content: @fa-var-glass; }
.@{fa-css-prefix}-music:before { content: @fa-var-music; }
.@{fa-css-prefix}-search:before { content: @fa-var-search; }
.@{fa-css-prefix}-envelope-o:before { content: @fa-var-envelope-o; }
.@{fa-css-prefix}-heart:before { content: @fa-var-heart; }
.@{fa-css-prefix}-star:before { content: @fa-var-star; }
.@{fa-css-prefix}-star-o:before { content: @fa-var-star-o; }
.@{fa-css-prefix}-user:before { content: @fa-var-user; }
.@{fa-css-prefix}-film:before { content: @fa-var-film; }
.@{fa-css-prefix}-th-large:before { content: @fa-var-th-large; }
.@{fa-css-prefix}-th:before { content: @fa-var-th; }
.@{fa-css-prefix}-th-list:before { content: @fa-var-th-list; }
.@{fa-css-prefix}-check:before { content: @fa-var-check; }
.@{fa-css-prefix}-remove:before,
.@{fa-css-prefix}-close:before,
.@{fa-css-prefix}-times:before { content: @fa-var-times; }
.@{fa-css-prefix}-search-plus:before { content: @fa-var-search-plus; }
.@{fa-css-prefix}-search-minus:before { content: @fa-var-search-minus; }
.@{fa-css-prefix}-power-off:before { content: @fa-var-power-off; }
.@{fa-css-prefix}-signal:before { content: @fa-var-signal; }
.@{fa-css-prefix}-gear:before,
.@{fa-css-prefix}-cog:before { content: @fa-var-cog; }
.@{fa-css-prefix}-trash-o:before { content: @fa-var-trash-o; }
.@{fa-css-prefix}-home:before { content: @fa-var-home; }
.@{fa-css-prefix}-file-o:before { content: @fa-var-file-o; }
.@{fa-css-prefix}-clock-o:before { content: @fa-var-clock-o; }
.@{fa-css-prefix}-road:before { content: @fa-var-road; }
.@{fa-css-prefix}-download:before { content: @fa-var-download; }
.@{fa-css-prefix}-arrow-circle-o-down:before { content: @fa-var-arrow-circle-o-down; }
.@{fa-css-prefix}-arrow-circle-o-up:before { content: @fa-var-arrow-circle-o-up; }
.@{fa-css-prefix}-inbox:before { content: @fa-var-inbox; }
.@{fa-css-prefix}-play-circle-o:before { content: @fa-var-play-circle-o; }
.@{fa-css-prefix}-rotate-right:before,
.@{fa-css-prefix}-repeat:before { content: @fa-var-repeat; }
.@{fa-css-prefix}-refresh:before { content: @fa-var-refresh; }
.@{fa-css-prefix}-list-alt:before { content: @fa-var-list-alt; }
.@{fa-css-prefix}-lock:before { content: @fa-var-lock; }
.@{fa-css-prefix}-flag:before { content: @fa-var-flag; }
.@{fa-css-prefix}-headphones:before { content: @fa-var-headphones; }
.@{fa-css-prefix}-volume-off:before { content: @fa-var-volume-off; }
.@{fa-css-prefix}-volume-down:before { content: @fa-var-volume-down; }
.@{fa-css-prefix}-volume-up:before { content: @fa-var-volume-up; }
.@{fa-css-prefix}-qrcode:before { content: @fa-var-qrcode; }
.@{fa-css-prefix}-barcode:before { content: @fa-var-barcode; }
.@{fa-css-prefix}-tag:before { content: @fa-var-tag; }
.@{fa-css-prefix}-tags:before { content: @fa-var-tags; }
.@{fa-css-prefix}-book:before { content: @fa-var-book; }
.@{fa-css-prefix}-bookmark:before { content: @fa-var-bookmark; }
.@{fa-css-prefix}-print:before { content: @fa-var-print; }
.@{fa-css-prefix}-camera:before { content: @fa-var-camera; }
.@{fa-css-prefix}-font:before { content: @fa-var-font; }
.@{fa-css-prefix}-bold:before { content: @fa-var-bold; }
.@{fa-css-prefix}-italic:before { content: @fa-var-italic; }
.@{fa-css-prefix}-text-height:before { content: @fa-var-text-height; }
.@{fa-css-prefix}-text-width:before { content: @fa-var-text-width; }
.@{fa-css-prefix}-align-left:before { content: @fa-var-align-left; }
.@{fa-css-prefix}-align-center:before { content: @fa-var-align-center; }
.@{fa-css-prefix}-align-right:before { content: @fa-var-align-right; }
.@{fa-css-prefix}-align-justify:before { content: @fa-var-align-justify; }
.@{fa-css-prefix}-list:before { content: @fa-var-list; }
.@{fa-css-prefix}-dedent:before,
.@{fa-css-prefix}-outdent:before { content: @fa-var-outdent; }
.@{fa-css-prefix}-indent:before { content: @fa-var-indent; }
.@{fa-css-prefix}-video-camera:before { content: @fa-var-video-camera; }
.@{fa-css-prefix}-photo:before,
.@{fa-css-prefix}-image:before,
.@{fa-css-prefix}-picture-o:before { content: @fa-var-picture-o; }
.@{fa-css-prefix}-pencil:before { content: @fa-var-pencil; }
.@{fa-css-prefix}-map-marker:before { content: @fa-var-map-marker; }
.@{fa-css-prefix}-adjust:before { content: @fa-var-adjust; }
.@{fa-css-prefix}-tint:before { content: @fa-var-tint; }
.@{fa-css-prefix}-edit:before,
.@{fa-css-prefix}-pencil-square-o:before { content: @fa-var-pencil-square-o; }
.@{fa-css-prefix}-share-square-o:before { content: @fa-var-share-square-o; }
.@{fa-css-prefix}-check-square-o:before { content: @fa-var-check-square-o; }
.@{fa-css-prefix}-arrows:before { content: @fa-var-arrows; }
.@{fa-css-prefix}-step-backward:before { content: @fa-var-step-backward; }
.@{fa-css-prefix}-fast-backward:before { content: @fa-var-fast-backward; }
.@{fa-css-prefix}-backward:before { content: @fa-var-backward; }
.@{fa-css-prefix}-play:before { content: @fa-var-play; }
.@{fa-css-prefix}-pause:before { content: @fa-var-pause; }
.@{fa-css-prefix}-stop:before { content: @fa-var-stop; }
.@{fa-css-prefix}-forward:before { content: @fa-var-forward; }
.@{fa-css-prefix}-fast-forward:before { content: @fa-var-fast-forward; }
.@{fa-css-prefix}-step-forward:before { content: @fa-var-step-forward; }
.@{fa-css-prefix}-eject:before { content: @fa-var-eject; }
.@{fa-css-prefix}-chevron-left:before { content: @fa-var-chevron-left; }
.@{fa-css-prefix}-chevron-right:before { content: @fa-var-chevron-right; }
.@{fa-css-prefix}-plus-circle:before { content: @fa-var-plus-circle; }
.@{fa-css-prefix}-minus-circle:before { content: @fa-var-minus-circle; }
.@{fa-css-prefix}-times-circle:before { content: @fa-var-times-circle; }
.@{fa-css-prefix}-check-circle:before { content: @fa-var-check-circle; }
.@{fa-css-prefix}-question-circle:before { content: @fa-var-question-circle; }
.@{fa-css-prefix}-info-circle:before { content: @fa-var-info-circle; }
.@{fa-css-prefix}-crosshairs:before { content: @fa-var-crosshairs; }
.@{fa-css-prefix}-times-circle-o:before { content: @fa-var-times-circle-o; }
.@{fa-css-prefix}-check-circle-o:before { content: @fa-var-check-circle-o; }
.@{fa-css-prefix}-ban:before { content: @fa-var-ban; }
.@{fa-css-prefix}-arrow-left:before { content: @fa-var-arrow-left; }
.@{fa-css-prefix}-arrow-right:before { content: @fa-var-arrow-right; }
.@{fa-css-prefix}-arrow-up:before { content: @fa-var-arrow-up; }
.@{fa-css-prefix}-arrow-down:before { content: @fa-var-arrow-down; }
.@{fa-css-prefix}-mail-forward:before,
.@{fa-css-prefix}-share:before { content: @fa-var-share; }
.@{fa-css-prefix}-expand:before { content: @fa-var-expand; }
.@{fa-css-prefix}-compress:before { content: @fa-var-compress; }
.@{fa-css-prefix}-plus:before { content: @fa-var-plus; }
.@{fa-css-prefix}-minus:before { content: @fa-var-minus; }
.@{fa-css-prefix}-asterisk:before { content: @fa-var-asterisk; }
.@{fa-css-prefix}-exclamation-circle:before { content: @fa-var-exclamation-circle; }
.@{fa-css-prefix}-gift:before { content: @fa-var-gift; }
.@{fa-css-prefix}-leaf:before { content: @fa-var-leaf; }
.@{fa-css-prefix}-fire:before { content: @fa-var-fire; }
.@{fa-css-prefix}-eye:before { content: @fa-var-eye; }
.@{fa-css-prefix}-eye-slash:before { content: @fa-var-eye-slash; }
.@{fa-css-prefix}-warning:before,
.@{fa-css-prefix}-exclamation-triangle:before { content: @fa-var-exclamation-triangle; }
.@{fa-css-prefix}-plane:before { content: @fa-var-plane; }
.@{fa-css-prefix}-calendar:before { content: @fa-var-calendar; }
.@{fa-css-prefix}-random:before { content: @fa-var-random; }
.@{fa-css-prefix}-comment:before { content: @fa-var-comment; }
.@{fa-css-prefix}-magnet:before { content: @fa-var-magnet; }
.@{fa-css-prefix}-chevron-up:before { content: @fa-var-chevron-up; }
.@{fa-css-prefix}-chevron-down:before { content: @fa-var-chevron-down; }
.@{fa-css-prefix}-retweet:before { content: @fa-var-retweet; }
.@{fa-css-prefix}-shopping-cart:before { content: @fa-var-shopping-cart; }
.@{fa-css-prefix}-folder:before { content: @fa-var-folder; }
.@{fa-css-prefix}-folder-open:before { content: @fa-var-folder-open; }
.@{fa-css-prefix}-arrows-v:before { content: @fa-var-arrows-v; }
.@{fa-css-prefix}-arrows-h:before { content: @fa-var-arrows-h; }
.@{fa-css-prefix}-bar-chart-o:before,
.@{fa-css-prefix}-bar-chart:before { content: @fa-var-bar-chart; }
.@{fa-css-prefix}-twitter-square:before { content: @fa-var-twitter-square; }
.@{fa-css-prefix}-facebook-square:before { content: @fa-var-facebook-square; }
.@{fa-css-prefix}-camera-retro:before { content: @fa-var-camera-retro; }
.@{fa-css-prefix}-key:before { content: @fa-var-key; }
.@{fa-css-prefix}-gears:before,
.@{fa-css-prefix}-cogs:before { content: @fa-var-cogs; }
.@{fa-css-prefix}-comments:before { content: @fa-var-comments; }
.@{fa-css-prefix}-thumbs-o-up:before { content: @fa-var-thumbs-o-up; }
.@{fa-css-prefix}-thumbs-o-down:before { content: @fa-var-thumbs-o-down; }
.@{fa-css-prefix}-star-half:before { content: @fa-var-star-half; }
.@{fa-css-prefix}-heart-o:before { content: @fa-var-heart-o; }
.@{fa-css-prefix}-sign-out:before { content: @fa-var-sign-out; }
.@{fa-css-prefix}-linkedin-square:before { content: @fa-var-linkedin-square; }
.@{fa-css-prefix}-thumb-tack:before { content: @fa-var-thumb-tack; }
.@{fa-css-prefix}-external-link:before { content: @fa-var-external-link; }
.@{fa-css-prefix}-sign-in:before { content: @fa-var-sign-in; }
.@{fa-css-prefix}-trophy:before { content: @fa-var-trophy; }
.@{fa-css-prefix}-github-square:before { content: @fa-var-github-square; }
.@{fa-css-prefix}-upload:before { content: @fa-var-upload; }
.@{fa-css-prefix}-lemon-o:before { content: @fa-var-lemon-o; }
.@{fa-css-prefix}-phone:before { content: @fa-var-phone; }
.@{fa-css-prefix}-square-o:before { content: @fa-var-square-o; }
.@{fa-css-prefix}-bookmark-o:before { content: @fa-var-bookmark-o; }
.@{fa-css-prefix}-phone-square:before { content: @fa-var-phone-square; }
.@{fa-css-prefix}-twitter:before { content: @fa-var-twitter; }
.@{fa-css-prefix}-facebook-f:before,
.@{fa-css-prefix}-facebook:before { content: @fa-var-facebook; }
.@{fa-css-prefix}-github:before { content: @fa-var-github; }
.@{fa-css-prefix}-unlock:before { content: @fa-var-unlock; }
.@{fa-css-prefix}-credit-card:before { content: @fa-var-credit-card; }
.@{fa-css-prefix}-feed:before,
.@{fa-css-prefix}-rss:before { content: @fa-var-rss; }
.@{fa-css-prefix}-hdd-o:before { content: @fa-var-hdd-o; }
.@{fa-css-prefix}-bullhorn:before { content: @fa-var-bullhorn; }
.@{fa-css-prefix}-bell:before { content: @fa-var-bell; }
.@{fa-css-prefix}-certificate:before { content: @fa-var-certificate; }
.@{fa-css-prefix}-hand-o-right:before { content: @fa-var-hand-o-right; }
.@{fa-css-prefix}-hand-o-left:before { content: @fa-var-hand-o-left; }
.@{fa-css-prefix}-hand-o-up:before { content: @fa-var-hand-o-up; }
.@{fa-css-prefix}-hand-o-down:before { content: @fa-var-hand-o-down; }
.@{fa-css-prefix}-arrow-circle-left:before { content: @fa-var-arrow-circle-left; }
.@{fa-css-prefix}-arrow-circle-right:before { content: @fa-var-arrow-circle-right; }
.@{fa-css-prefix}-arrow-circle-up:before { content: @fa-var-arrow-circle-up; }
.@{fa-css-prefix}-arrow-circle-down:before { content: @fa-var-arrow-circle-down; }
.@{fa-css-prefix}-globe:before { content: @fa-var-globe; }
.@{fa-css-prefix}-wrench:before { content: @fa-var-wrench; }
.@{fa-css-prefix}-tasks:before { content: @fa-var-tasks; }
.@{fa-css-prefix}-filter:before { content: @fa-var-filter; }
.@{fa-css-prefix}-briefcase:before { content: @fa-var-briefcase; }
.@{fa-css-prefix}-arrows-alt:before { content: @fa-var-arrows-alt; }
.@{fa-css-prefix}-group:before,
.@{fa-css-prefix}-users:before { content: @fa-var-users; }
.@{fa-css-prefix}-chain:before,
.@{fa-css-prefix}-link:before { content: @fa-var-link; }
.@{fa-css-prefix}-cloud:before { content: @fa-var-cloud; }
.@{fa-css-prefix}-flask:before { content: @fa-var-flask; }
.@{fa-css-prefix}-cut:before,
.@{fa-css-prefix}-scissors:before { content: @fa-var-scissors; }
.@{fa-css-prefix}-copy:before,
.@{fa-css-prefix}-files-o:before { content: @fa-var-files-o; }
.@{fa-css-prefix}-paperclip:before { content: @fa-var-paperclip; }
.@{fa-css-prefix}-save:before,
.@{fa-css-prefix}-floppy-o:before { content: @fa-var-floppy-o; }
.@{fa-css-prefix}-square:before { content: @fa-var-square; }
.@{fa-css-prefix}-navicon:before,
.@{fa-css-prefix}-reorder:before,
.@{fa-css-prefix}-bars:before { content: @fa-var-bars; }
.@{fa-css-prefix}-list-ul:before { content: @fa-var-list-ul; }
.@{fa-css-prefix}-list-ol:before { content: @fa-var-list-ol; }
.@{fa-css-prefix}-strikethrough:before { content: @fa-var-strikethrough; }
.@{fa-css-prefix}-underline:before { content: @fa-var-underline; }
.@{fa-css-prefix}-table:before { content: @fa-var-table; }
.@{fa-css-prefix}-magic:before { content: @fa-var-magic; }
.@{fa-css-prefix}-truck:before { content: @fa-var-truck; }
.@{fa-css-prefix}-pinterest:before { content: @fa-var-pinterest; }
.@{fa-css-prefix}-pinterest-square:before { content: @fa-var-pinterest-square; }
.@{fa-css-prefix}-google-plus-square:before { content: @fa-var-google-plus-square; }
.@{fa-css-prefix}-google-plus:before { content: @fa-var-google-plus; }
.@{fa-css-prefix}-money:before { content: @fa-var-money; }
.@{fa-css-prefix}-caret-down:before { content: @fa-var-caret-down; }
.@{fa-css-prefix}-caret-up:before { content: @fa-var-caret-up; }
.@{fa-css-prefix}-caret-left:before { content: @fa-var-caret-left; }
.@{fa-css-prefix}-caret-right:before { content: @fa-var-caret-right; }
.@{fa-css-prefix}-columns:before { content: @fa-var-columns; }
.@{fa-css-prefix}-unsorted:before,
.@{fa-css-prefix}-sort:before { content: @fa-var-sort; }
.@{fa-css-prefix}-sort-down:before,
.@{fa-css-prefix}-sort-desc:before { content: @fa-var-sort-desc; }
.@{fa-css-prefix}-sort-up:before,
.@{fa-css-prefix}-sort-asc:before { content: @fa-var-sort-asc; }
.@{fa-css-prefix}-envelope:before { content: @fa-var-envelope; }
.@{fa-css-prefix}-linkedin:before { content: @fa-var-linkedin; }
.@{fa-css-prefix}-rotate-left:before,
.@{fa-css-prefix}-undo:before { content: @fa-var-undo; }
.@{fa-css-prefix}-legal:before,
.@{fa-css-prefix}-gavel:before { content: @fa-var-gavel; }
.@{fa-css-prefix}-dashboard:before,
.@{fa-css-prefix}-tachometer:before { content: @fa-var-tachometer; }
.@{fa-css-prefix}-comment-o:before { content: @fa-var-comment-o; }
.@{fa-css-prefix}-comments-o:before { content: @fa-var-comments-o; }
.@{fa-css-prefix}-flash:before,
.@{fa-css-prefix}-bolt:before { content: @fa-var-bolt; }
.@{fa-css-prefix}-sitemap:before { content: @fa-var-sitemap; }
.@{fa-css-prefix}-umbrella:before { content: @fa-var-umbrella; }
.@{fa-css-prefix}-paste:before,
.@{fa-css-prefix}-clipboard:before { content: @fa-var-clipboard; }
.@{fa-css-prefix}-lightbulb-o:before { content: @fa-var-lightbulb-o; }
.@{fa-css-prefix}-exchange:before { content: @fa-var-exchange; }
.@{fa-css-prefix}-cloud-download:before { content: @fa-var-cloud-download; }
.@{fa-css-prefix}-cloud-upload:before { content: @fa-var-cloud-upload; }
.@{fa-css-prefix}-user-md:before { content: @fa-var-user-md; }
.@{fa-css-prefix}-stethoscope:before { content: @fa-var-stethoscope; }
.@{fa-css-prefix}-suitcase:before { content: @fa-var-suitcase; }
.@{fa-css-prefix}-bell-o:before { content: @fa-var-bell-o; }
.@{fa-css-prefix}-coffee:before { content: @fa-var-coffee; }
.@{fa-css-prefix}-cutlery:before { content: @fa-var-cutlery; }
.@{fa-css-prefix}-file-text-o:before { content: @fa-var-file-text-o; }
.@{fa-css-prefix}-building-o:before { content: @fa-var-building-o; }
.@{fa-css-prefix}-hospital-o:before { content: @fa-var-hospital-o; }
.@{fa-css-prefix}-ambulance:before { content: @fa-var-ambulance; }
.@{fa-css-prefix}-medkit:before { content: @fa-var-medkit; }
.@{fa-css-prefix}-fighter-jet:before { content: @fa-var-fighter-jet; }
.@{fa-css-prefix}-beer:before { content: @fa-var-beer; }
.@{fa-css-prefix}-h-square:before { content: @fa-var-h-square; }
.@{fa-css-prefix}-plus-square:before { content: @fa-var-plus-square; }
.@{fa-css-prefix}-angle-double-left:before { content: @fa-var-angle-double-left; }
.@{fa-css-prefix}-angle-double-right:before { content: @fa-var-angle-double-right; }
.@{fa-css-prefix}-angle-double-up:before { content: @fa-var-angle-double-up; }
.@{fa-css-prefix}-angle-double-down:before { content: @fa-var-angle-double-down; }
.@{fa-css-prefix}-angle-left:before { content: @fa-var-angle-left; }
.@{fa-css-prefix}-angle-right:before { content: @fa-var-angle-right; }
.@{fa-css-prefix}-angle-up:before { content: @fa-var-angle-up; }
.@{fa-css-prefix}-angle-down:before { content: @fa-var-angle-down; }
.@{fa-css-prefix}-desktop:before { content: @fa-var-desktop; }
.@{fa-css-prefix}-laptop:before { content: @fa-var-laptop; }
.@{fa-css-prefix}-tablet:before { content: @fa-var-tablet; }
.@{fa-css-prefix}-mobile-phone:before,
.@{fa-css-prefix}-mobile:before { content: @fa-var-mobile; }
.@{fa-css-prefix}-circle-o:before { content: @fa-var-circle-o; }
.@{fa-css-prefix}-quote-left:before { content: @fa-var-quote-left; }
.@{fa-css-prefix}-quote-right:before { content: @fa-var-quote-right; }
.@{fa-css-prefix}-spinner:before { content: @fa-var-spinner; }
.@{fa-css-prefix}-circle:before { content: @fa-var-circle; }
.@{fa-css-prefix}-mail-reply:before,
.@{fa-css-prefix}-reply:before { content: @fa-var-reply; }
.@{fa-css-prefix}-github-alt:before { content: @fa-var-github-alt; }
.@{fa-css-prefix}-folder-o:before { content: @fa-var-folder-o; }
.@{fa-css-prefix}-folder-open-o:before { content: @fa-var-folder-open-o; }
.@{fa-css-prefix}-smile-o:before { content: @fa-var-smile-o; }
.@{fa-css-prefix}-frown-o:before { content: @fa-var-frown-o; }
.@{fa-css-prefix}-meh-o:before { content: @fa-var-meh-o; }
.@{fa-css-prefix}-gamepad:before { content: @fa-var-gamepad; }
.@{fa-css-prefix}-keyboard-o:before { content: @fa-var-keyboard-o; }
.@{fa-css-prefix}-flag-o:before { content: @fa-var-flag-o; }
.@{fa-css-prefix}-flag-checkered:before { content: @fa-var-flag-checkered; }
.@{fa-css-prefix}-terminal:before { content: @fa-var-terminal; }
.@{fa-css-prefix}-code:before { content: @fa-var-code; }
.@{fa-css-prefix}-mail-reply-all:before,
.@{fa-css-prefix}-reply-all:before { content: @fa-var-reply-all; }
.@{fa-css-prefix}-star-half-empty:before,
.@{fa-css-prefix}-star-half-full:before,
.@{fa-css-prefix}-star-half-o:before { content: @fa-var-star-half-o; }
.@{fa-css-prefix}-location-arrow:before { content: @fa-var-location-arrow; }
.@{fa-css-prefix}-crop:before { content: @fa-var-crop; }
.@{fa-css-prefix}-code-fork:before { content: @fa-var-code-fork; }
.@{fa-css-prefix}-unlink:before,
.@{fa-css-prefix}-chain-broken:before { content: @fa-var-chain-broken; }
.@{fa-css-prefix}-question:before { content: @fa-var-question; }
.@{fa-css-prefix}-info:before { content: @fa-var-info; }
.@{fa-css-prefix}-exclamation:before { content: @fa-var-exclamation; }
.@{fa-css-prefix}-superscript:before { content: @fa-var-superscript; }
.@{fa-css-prefix}-subscript:before { content: @fa-var-subscript; }
.@{fa-css-prefix}-eraser:before { content: @fa-var-eraser; }
.@{fa-css-prefix}-puzzle-piece:before { content: @fa-var-puzzle-piece; }
.@{fa-css-prefix}-microphone:before { content: @fa-var-microphone; }
.@{fa-css-prefix}-microphone-slash:before { content: @fa-var-microphone-slash; }
.@{fa-css-prefix}-shield:before { content: @fa-var-shield; }
.@{fa-css-prefix}-calendar-o:before { content: @fa-var-calendar-o; }
.@{fa-css-prefix}-fire-extinguisher:before { content: @fa-var-fire-extinguisher; }
.@{fa-css-prefix}-rocket:before { content: @fa-var-rocket; }
.@{fa-css-prefix}-maxcdn:before { content: @fa-var-maxcdn; }
.@{fa-css-prefix}-chevron-circle-left:before { content: @fa-var-chevron-circle-left; }
.@{fa-css-prefix}-chevron-circle-right:before { content: @fa-var-chevron-circle-right; }
.@{fa-css-prefix}-chevron-circle-up:before { content: @fa-var-chevron-circle-up; }
.@{fa-css-prefix}-chevron-circle-down:before { content: @fa-var-chevron-circle-down; }
.@{fa-css-prefix}-html5:before { content: @fa-var-html5; }
.@{fa-css-prefix}-css3:before { content: @fa-var-css3; }
.@{fa-css-prefix}-anchor:before { content: @fa-var-anchor; }
.@{fa-css-prefix}-unlock-alt:before { content: @fa-var-unlock-alt; }
.@{fa-css-prefix}-bullseye:before { content: @fa-var-bullseye; }
.@{fa-css-prefix}-ellipsis-h:before { content: @fa-var-ellipsis-h; }
.@{fa-css-prefix}-ellipsis-v:before { content: @fa-var-ellipsis-v; }
.@{fa-css-prefix}-rss-square:before { content: @fa-var-rss-square; }
.@{fa-css-prefix}-play-circle:before { content: @fa-var-play-circle; }
.@{fa-css-prefix}-ticket:before { content: @fa-var-ticket; }
.@{fa-css-prefix}-minus-square:before { content: @fa-var-minus-square; }
.@{fa-css-prefix}-minus-square-o:before { content: @fa-var-minus-square-o; }
.@{fa-css-prefix}-level-up:before { content: @fa-var-level-up; }
.@{fa-css-prefix}-level-down:before { content: @fa-var-level-down; }
.@{fa-css-prefix}-check-square:before { content: @fa-var-check-square; }
.@{fa-css-prefix}-pencil-square:before { content: @fa-var-pencil-square; }
.@{fa-css-prefix}-external-link-square:before { content: @fa-var-external-link-square; }
.@{fa-css-prefix}-share-square:before { content: @fa-var-share-square; }
.@{fa-css-prefix}-compass:before { content: @fa-var-compass; }
.@{fa-css-prefix}-toggle-down:before,
.@{fa-css-prefix}-caret-square-o-down:before { content: @fa-var-caret-square-o-down; }
.@{fa-css-prefix}-toggle-up:before,
.@{fa-css-prefix}-caret-square-o-up:before { content: @fa-var-caret-square-o-up; }
.@{fa-css-prefix}-toggle-right:before,
.@{fa-css-prefix}-caret-square-o-right:before { content: @fa-var-caret-square-o-right; }
.@{fa-css-prefix}-euro:before,
.@{fa-css-prefix}-eur:before { content: @fa-var-eur; }
.@{fa-css-prefix}-gbp:before { content: @fa-var-gbp; }
.@{fa-css-prefix}-dollar:before,
.@{fa-css-prefix}-usd:before { content: @fa-var-usd; }
.@{fa-css-prefix}-rupee:before,
.@{fa-css-prefix}-inr:before { content: @fa-var-inr; }
.@{fa-css-prefix}-cny:before,
.@{fa-css-prefix}-rmb:before,
.@{fa-css-prefix}-yen:before,
.@{fa-css-prefix}-jpy:before { content: @fa-var-jpy; }
.@{fa-css-prefix}-ruble:before,
.@{fa-css-prefix}-rouble:before,
.@{fa-css-prefix}-rub:before { content: @fa-var-rub; }
.@{fa-css-prefix}-won:before,
.@{fa-css-prefix}-krw:before { content: @fa-var-krw; }
.@{fa-css-prefix}-bitcoin:before,
.@{fa-css-prefix}-btc:before { content: @fa-var-btc; }
.@{fa-css-prefix}-file:before { content: @fa-var-file; }
.@{fa-css-prefix}-file-text:before { content: @fa-var-file-text; }
.@{fa-css-prefix}-sort-alpha-asc:before { content: @fa-var-sort-alpha-asc; }
.@{fa-css-prefix}-sort-alpha-desc:before { content: @fa-var-sort-alpha-desc; }
.@{fa-css-prefix}-sort-amount-asc:before { content: @fa-var-sort-amount-asc; }
.@{fa-css-prefix}-sort-amount-desc:before { content: @fa-var-sort-amount-desc; }
.@{fa-css-prefix}-sort-numeric-asc:before { content: @fa-var-sort-numeric-asc; }
.@{fa-css-prefix}-sort-numeric-desc:before { content: @fa-var-sort-numeric-desc; }
.@{fa-css-prefix}-thumbs-up:before { content: @fa-var-thumbs-up; }
.@{fa-css-prefix}-thumbs-down:before { content: @fa-var-thumbs-down; }
.@{fa-css-prefix}-youtube-square:before { content: @fa-var-youtube-square; }
.@{fa-css-prefix}-youtube:before { content: @fa-var-youtube; }
.@{fa-css-prefix}-xing:before { content: @fa-var-xing; }
.@{fa-css-prefix}-xing-square:before { content: @fa-var-xing-square; }
.@{fa-css-prefix}-youtube-play:before { content: @fa-var-youtube-play; }
.@{fa-css-prefix}-dropbox:before { content: @fa-var-dropbox; }
.@{fa-css-prefix}-stack-overflow:before { content: @fa-var-stack-overflow; }
.@{fa-css-prefix}-instagram:before { content: @fa-var-instagram; }
.@{fa-css-prefix}-flickr:before { content: @fa-var-flickr; }
.@{fa-css-prefix}-adn:before { content: @fa-var-adn; }
.@{fa-css-prefix}-bitbucket:before { content: @fa-var-bitbucket; }
.@{fa-css-prefix}-bitbucket-square:before { content: @fa-var-bitbucket-square; }
.@{fa-css-prefix}-tumblr:before { content: @fa-var-tumblr; }
.@{fa-css-prefix}-tumblr-square:before { content: @fa-var-tumblr-square; }
.@{fa-css-prefix}-long-arrow-down:before { content: @fa-var-long-arrow-down; }
.@{fa-css-prefix}-long-arrow-up:before { content: @fa-var-long-arrow-up; }
.@{fa-css-prefix}-long-arrow-left:before { content: @fa-var-long-arrow-left; }
.@{fa-css-prefix}-long-arrow-right:before { content: @fa-var-long-arrow-right; }
.@{fa-css-prefix}-apple:before { content: @fa-var-apple; }
.@{fa-css-prefix}-windows:before { content: @fa-var-windows; }
.@{fa-css-prefix}-android:before { content: @fa-var-android; }
.@{fa-css-prefix}-linux:before { content: @fa-var-linux; }
.@{fa-css-prefix}-dribbble:before { content: @fa-var-dribbble; }
.@{fa-css-prefix}-skype:before { content: @fa-var-skype; }
.@{fa-css-prefix}-foursquare:before { content: @fa-var-foursquare; }
.@{fa-css-prefix}-trello:before { content: @fa-var-trello; }
.@{fa-css-prefix}-female:before { content: @fa-var-female; }
.@{fa-css-prefix}-male:before { content: @fa-var-male; }
.@{fa-css-prefix}-gittip:before,
.@{fa-css-prefix}-gratipay:before { content: @fa-var-gratipay; }
.@{fa-css-prefix}-sun-o:before { content: @fa-var-sun-o; }
.@{fa-css-prefix}-moon-o:before { content: @fa-var-moon-o; }
.@{fa-css-prefix}-archive:before { content: @fa-var-archive; }
.@{fa-css-prefix}-bug:before { content: @fa-var-bug; }
.@{fa-css-prefix}-vk:before { content: @fa-var-vk; }
.@{fa-css-prefix}-weibo:before { content: @fa-var-weibo; }
.@{fa-css-prefix}-renren:before { content: @fa-var-renren; }
.@{fa-css-prefix}-pagelines:before { content: @fa-var-pagelines; }
.@{fa-css-prefix}-stack-exchange:before { content: @fa-var-stack-exchange; }
.@{fa-css-prefix}-arrow-circle-o-right:before { content: @fa-var-arrow-circle-o-right; }
.@{fa-css-prefix}-arrow-circle-o-left:before { content: @fa-var-arrow-circle-o-left; }
.@{fa-css-prefix}-toggle-left:before,
.@{fa-css-prefix}-caret-square-o-left:before { content: @fa-var-caret-square-o-left; }
.@{fa-css-prefix}-dot-circle-o:before { content: @fa-var-dot-circle-o; }
.@{fa-css-prefix}-wheelchair:before { content: @fa-var-wheelchair; }
.@{fa-css-prefix}-vimeo-square:before { content: @fa-var-vimeo-square; }
.@{fa-css-prefix}-turkish-lira:before,
.@{fa-css-prefix}-try:before { content: @fa-var-try; }
.@{fa-css-prefix}-plus-square-o:before { content: @fa-var-plus-square-o; }
.@{fa-css-prefix}-space-shuttle:before { content: @fa-var-space-shuttle; }
.@{fa-css-prefix}-slack:before { content: @fa-var-slack; }
.@{fa-css-prefix}-envelope-square:before { content: @fa-var-envelope-square; }
.@{fa-css-prefix}-wordpress:before { content: @fa-var-wordpress; }
.@{fa-css-prefix}-openid:before { content: @fa-var-openid; }
.@{fa-css-prefix}-institution:before,
.@{fa-css-prefix}-bank:before,
.@{fa-css-prefix}-university:before { content: @fa-var-university; }
.@{fa-css-prefix}-mortar-board:before,
.@{fa-css-prefix}-graduation-cap:before { content: @fa-var-graduation-cap; }
.@{fa-css-prefix}-yahoo:before { content: @fa-var-yahoo; }
.@{fa-css-prefix}-google:before { content: @fa-var-google; }
.@{fa-css-prefix}-reddit:before { content: @fa-var-reddit; }
.@{fa-css-prefix}-reddit-square:before { content: @fa-var-reddit-square; }
.@{fa-css-prefix}-stumbleupon-circle:before { content: @fa-var-stumbleupon-circle; }
.@{fa-css-prefix}-stumbleupon:before { content: @fa-var-stumbleupon; }
.@{fa-css-prefix}-delicious:before { content: @fa-var-delicious; }
.@{fa-css-prefix}-digg:before { content: @fa-var-digg; }
.@{fa-css-prefix}-pied-piper-pp:before { content: @fa-var-pied-piper-pp; }
.@{fa-css-prefix}-pied-piper-alt:before { content: @fa-var-pied-piper-alt; }
.@{fa-css-prefix}-drupal:before { content: @fa-var-drupal; }
.@{fa-css-prefix}-joomla:before { content: @fa-var-joomla; }
.@{fa-css-prefix}-language:before { content: @fa-var-language; }
.@{fa-css-prefix}-fax:before { content: @fa-var-fax; }
.@{fa-css-prefix}-building:before { content: @fa-var-building; }
.@{fa-css-prefix}-child:before { content: @fa-var-child; }
.@{fa-css-prefix}-paw:before { content: @fa-var-paw; }
.@{fa-css-prefix}-spoon:before { content: @fa-var-spoon; }
.@{fa-css-prefix}-cube:before { content: @fa-var-cube; }
.@{fa-css-prefix}-cubes:before { content: @fa-var-cubes; }
.@{fa-css-prefix}-behance:before { content: @fa-var-behance; }
.@{fa-css-prefix}-behance-square:before { content: @fa-var-behance-square; }
.@{fa-css-prefix}-steam:before { content: @fa-var-steam; }
.@{fa-css-prefix}-steam-square:before { content: @fa-var-steam-square; }
.@{fa-css-prefix}-recycle:before { content: @fa-var-recycle; }
.@{fa-css-prefix}-automobile:before,
.@{fa-css-prefix}-car:before { content: @fa-var-car; }
.@{fa-css-prefix}-cab:before,
.@{fa-css-prefix}-taxi:before { content: @fa-var-taxi; }
.@{fa-css-prefix}-tree:before { content: @fa-var-tree; }
.@{fa-css-prefix}-spotify:before { content: @fa-var-spotify; }
.@{fa-css-prefix}-deviantart:before { content: @fa-var-deviantart; }
.@{fa-css-prefix}-soundcloud:before { content: @fa-var-soundcloud; }
.@{fa-css-prefix}-database:before { content: @fa-var-database; }
.@{fa-css-prefix}-file-pdf-o:before { content: @fa-var-file-pdf-o; }
.@{fa-css-prefix}-file-word-o:before { content: @fa-var-file-word-o; }
.@{fa-css-prefix}-file-excel-o:before { content: @fa-var-file-excel-o; }
.@{fa-css-prefix}-file-powerpoint-o:before { content: @fa-var-file-powerpoint-o; }
.@{fa-css-prefix}-file-photo-o:before,
.@{fa-css-prefix}-file-picture-o:before,
.@{fa-css-prefix}-file-image-o:before { content: @fa-var-file-image-o; }
.@{fa-css-prefix}-file-zip-o:before,
.@{fa-css-prefix}-file-archive-o:before { content: @fa-var-file-archive-o; }
.@{fa-css-prefix}-file-sound-o:before,
.@{fa-css-prefix}-file-audio-o:before { content: @fa-var-file-audio-o; }
.@{fa-css-prefix}-file-movie-o:before,
.@{fa-css-prefix}-file-video-o:before { content: @fa-var-file-video-o; }
.@{fa-css-prefix}-file-code-o:before { content: @fa-var-file-code-o; }
.@{fa-css-prefix}-vine:before { content: @fa-var-vine; }
.@{fa-css-prefix}-codepen:before { content: @fa-var-codepen; }
.@{fa-css-prefix}-jsfiddle:before { content: @fa-var-jsfiddle; }
.@{fa-css-prefix}-life-bouy:before,
.@{fa-css-prefix}-life-buoy:before,
.@{fa-css-prefix}-life-saver:before,
.@{fa-css-prefix}-support:before,
.@{fa-css-prefix}-life-ring:before { content: @fa-var-life-ring; }
.@{fa-css-prefix}-circle-o-notch:before { content: @fa-var-circle-o-notch; }
.@{fa-css-prefix}-ra:before,
.@{fa-css-prefix}-resistance:before,
.@{fa-css-prefix}-rebel:before { content: @fa-var-rebel; }
.@{fa-css-prefix}-ge:before,
.@{fa-css-prefix}-empire:before { content: @fa-var-empire; }
.@{fa-css-prefix}-git-square:before { content: @fa-var-git-square; }
.@{fa-css-prefix}-git:before { content: @fa-var-git; }
.@{fa-css-prefix}-y-combinator-square:before,
.@{fa-css-prefix}-yc-square:before,
.@{fa-css-prefix}-hacker-news:before { content: @fa-var-hacker-news; }
.@{fa-css-prefix}-tencent-weibo:before { content: @fa-var-tencent-weibo; }
.@{fa-css-prefix}-qq:before { content: @fa-var-qq; }
.@{fa-css-prefix}-wechat:before,
.@{fa-css-prefix}-weixin:before { content: @fa-var-weixin; }
.@{fa-css-prefix}-send:before,
.@{fa-css-prefix}-paper-plane:before { content: @fa-var-paper-plane; }
.@{fa-css-prefix}-send-o:before,
.@{fa-css-prefix}-paper-plane-o:before { content: @fa-var-paper-plane-o; }
.@{fa-css-prefix}-history:before { content: @fa-var-history; }
.@{fa-css-prefix}-circle-thin:before { content: @fa-var-circle-thin; }
.@{fa-css-prefix}-header:before { content: @fa-var-header; }
.@{fa-css-prefix}-paragraph:before { content: @fa-var-paragraph; }
.@{fa-css-prefix}-sliders:before { content: @fa-var-sliders; }
.@{fa-css-prefix}-share-alt:before { content: @fa-var-share-alt; }
.@{fa-css-prefix}-share-alt-square:before { content: @fa-var-share-alt-square; }
.@{fa-css-prefix}-bomb:before { content: @fa-var-bomb; }
.@{fa-css-prefix}-soccer-ball-o:before,
.@{fa-css-prefix}-futbol-o:before { content: @fa-var-futbol-o; }
.@{fa-css-prefix}-tty:before { content: @fa-var-tty; }
.@{fa-css-prefix}-binoculars:before { content: @fa-var-binoculars; }
.@{fa-css-prefix}-plug:before { content: @fa-var-plug; }
.@{fa-css-prefix}-slideshare:before { content: @fa-var-slideshare; }
.@{fa-css-prefix}-twitch:before { content: @fa-var-twitch; }
.@{fa-css-prefix}-yelp:before { content: @fa-var-yelp; }
.@{fa-css-prefix}-newspaper-o:before { content: @fa-var-newspaper-o; }
.@{fa-css-prefix}-wifi:before { content: @fa-var-wifi; }
.@{fa-css-prefix}-calculator:before { content: @fa-var-calculator; }
.@{fa-css-prefix}-paypal:before { content: @fa-var-paypal; }
.@{fa-css-prefix}-google-wallet:before { content: @fa-var-google-wallet; }
.@{fa-css-prefix}-cc-visa:before { content: @fa-var-cc-visa; }
.@{fa-css-prefix}-cc-mastercard:before { content: @fa-var-cc-mastercard; }
.@{fa-css-prefix}-cc-discover:before { content: @fa-var-cc-discover; }
.@{fa-css-prefix}-cc-amex:before { content: @fa-var-cc-amex; }
.@{fa-css-prefix}-cc-paypal:before { content: @fa-var-cc-paypal; }
.@{fa-css-prefix}-cc-stripe:before { content: @fa-var-cc-stripe; }
.@{fa-css-prefix}-bell-slash:before { content: @fa-var-bell-slash; }
.@{fa-css-prefix}-bell-slash-o:before { content: @fa-var-bell-slash-o; }
.@{fa-css-prefix}-trash:before { content: @fa-var-trash; }
.@{fa-css-prefix}-copyright:before { content: @fa-var-copyright; }
.@{fa-css-prefix}-at:before { content: @fa-var-at; }
.@{fa-css-prefix}-eyedropper:before { content: @fa-var-eyedropper; }
.@{fa-css-prefix}-paint-brush:before { content: @fa-var-paint-brush; }
.@{fa-css-prefix}-birthday-cake:before { content: @fa-var-birthday-cake; }
.@{fa-css-prefix}-area-chart:before { content: @fa-var-area-chart; }
.@{fa-css-prefix}-pie-chart:before { content: @fa-var-pie-chart; }
.@{fa-css-prefix}-line-chart:before { content: @fa-var-line-chart; }
.@{fa-css-prefix}-lastfm:before { content: @fa-var-lastfm; }
.@{fa-css-prefix}-lastfm-square:before { content: @fa-var-lastfm-square; }
.@{fa-css-prefix}-toggle-off:before { content: @fa-var-toggle-off; }
.@{fa-css-prefix}-toggle-on:before { content: @fa-var-toggle-on; }
.@{fa-css-prefix}-bicycle:before { content: @fa-var-bicycle; }
.@{fa-css-prefix}-bus:before { content: @fa-var-bus; }
.@{fa-css-prefix}-ioxhost:before { content: @fa-var-ioxhost; }
.@{fa-css-prefix}-angellist:before { content: @fa-var-angellist; }
.@{fa-css-prefix}-cc:before { content: @fa-var-cc; }
.@{fa-css-prefix}-shekel:before,
.@{fa-css-prefix}-sheqel:before,
.@{fa-css-prefix}-ils:before { content: @fa-var-ils; }
.@{fa-css-prefix}-meanpath:before { content: @fa-var-meanpath; }
.@{fa-css-prefix}-buysellads:before { content: @fa-var-buysellads; }
.@{fa-css-prefix}-connectdevelop:before { content: @fa-var-connectdevelop; }
.@{fa-css-prefix}-dashcube:before { content: @fa-var-dashcube; }
.@{fa-css-prefix}-forumbee:before { content: @fa-var-forumbee; }
.@{fa-css-prefix}-leanpub:before { content: @fa-var-leanpub; }
.@{fa-css-prefix}-sellsy:before { content: @fa-var-sellsy; }
.@{fa-css-prefix}-shirtsinbulk:before { content: @fa-var-shirtsinbulk; }
.@{fa-css-prefix}-simplybuilt:before { content: @fa-var-simplybuilt; }
.@{fa-css-prefix}-skyatlas:before { content: @fa-var-skyatlas; }
.@{fa-css-prefix}-cart-plus:before { content: @fa-var-cart-plus; }
.@{fa-css-prefix}-cart-arrow-down:before { content: @fa-var-cart-arrow-down; }
.@{fa-css-prefix}-diamond:before { content: @fa-var-diamond; }
.@{fa-css-prefix}-ship:before { content: @fa-var-ship; }
.@{fa-css-prefix}-user-secret:before { content: @fa-var-user-secret; }
.@{fa-css-prefix}-motorcycle:before { content: @fa-var-motorcycle; }
.@{fa-css-prefix}-street-view:before { content: @fa-var-street-view; }
.@{fa-css-prefix}-heartbeat:before { content: @fa-var-heartbeat; }
.@{fa-css-prefix}-venus:before { content: @fa-var-venus; }
.@{fa-css-prefix}-mars:before { content: @fa-var-mars; }
.@{fa-css-prefix}-mercury:before { content: @fa-var-mercury; }
.@{fa-css-prefix}-intersex:before,
.@{fa-css-prefix}-transgender:before { content: @fa-var-transgender; }
.@{fa-css-prefix}-transgender-alt:before { content: @fa-var-transgender-alt; }
.@{fa-css-prefix}-venus-double:before { content: @fa-var-venus-double; }
.@{fa-css-prefix}-mars-double:before { content: @fa-var-mars-double; }
.@{fa-css-prefix}-venus-mars:before { content: @fa-var-venus-mars; }
.@{fa-css-prefix}-mars-stroke:before { content: @fa-var-mars-stroke; }
.@{fa-css-prefix}-mars-stroke-v:before { content: @fa-var-mars-stroke-v; }
.@{fa-css-prefix}-mars-stroke-h:before { content: @fa-var-mars-stroke-h; }
.@{fa-css-prefix}-neuter:before { content: @fa-var-neuter; }
.@{fa-css-prefix}-genderless:before { content: @fa-var-genderless; }
.@{fa-css-prefix}-facebook-official:before { content: @fa-var-facebook-official; }
.@{fa-css-prefix}-pinterest-p:before { content: @fa-var-pinterest-p; }
.@{fa-css-prefix}-whatsapp:before { content: @fa-var-whatsapp; }
.@{fa-css-prefix}-server:before { content: @fa-var-server; }
.@{fa-css-prefix}-user-plus:before { content: @fa-var-user-plus; }
.@{fa-css-prefix}-user-times:before { content: @fa-var-user-times; }
.@{fa-css-prefix}-hotel:before,
.@{fa-css-prefix}-bed:before { content: @fa-var-bed; }
.@{fa-css-prefix}-viacoin:before { content: @fa-var-viacoin; }
.@{fa-css-prefix}-train:before { content: @fa-var-train; }
.@{fa-css-prefix}-subway:before { content: @fa-var-subway; }
.@{fa-css-prefix}-medium:before { content: @fa-var-medium; }
.@{fa-css-prefix}-yc:before,
.@{fa-css-prefix}-y-combinator:before { content: @fa-var-y-combinator; }
.@{fa-css-prefix}-optin-monster:before { content: @fa-var-optin-monster; }
.@{fa-css-prefix}-opencart:before { content: @fa-var-opencart; }
.@{fa-css-prefix}-expeditedssl:before { content: @fa-var-expeditedssl; }
.@{fa-css-prefix}-battery-4:before,
.@{fa-css-prefix}-battery:before,
.@{fa-css-prefix}-battery-full:before { content: @fa-var-battery-full; }
.@{fa-css-prefix}-battery-3:before,
.@{fa-css-prefix}-battery-three-quarters:before { content: @fa-var-battery-three-quarters; }
.@{fa-css-prefix}-battery-2:before,
.@{fa-css-prefix}-battery-half:before { content: @fa-var-battery-half; }
.@{fa-css-prefix}-battery-1:before,
.@{fa-css-prefix}-battery-quarter:before { content: @fa-var-battery-quarter; }
.@{fa-css-prefix}-battery-0:before,
.@{fa-css-prefix}-battery-empty:before { content: @fa-var-battery-empty; }
.@{fa-css-prefix}-mouse-pointer:before { content: @fa-var-mouse-pointer; }
.@{fa-css-prefix}-i-cursor:before { content: @fa-var-i-cursor; }
.@{fa-css-prefix}-object-group:before { content: @fa-var-object-group; }
.@{fa-css-prefix}-object-ungroup:before { content: @fa-var-object-ungroup; }
.@{fa-css-prefix}-sticky-note:before { content: @fa-var-sticky-note; }
.@{fa-css-prefix}-sticky-note-o:before { content: @fa-var-sticky-note-o; }
.@{fa-css-prefix}-cc-jcb:before { content: @fa-var-cc-jcb; }
.@{fa-css-prefix}-cc-diners-club:before { content: @fa-var-cc-diners-club; }
.@{fa-css-prefix}-clone:before { content: @fa-var-clone; }
.@{fa-css-prefix}-balance-scale:before { content: @fa-var-balance-scale; }
.@{fa-css-prefix}-hourglass-o:before { content: @fa-var-hourglass-o; }
.@{fa-css-prefix}-hourglass-1:before,
.@{fa-css-prefix}-hourglass-start:before { content: @fa-var-hourglass-start; }
.@{fa-css-prefix}-hourglass-2:before,
.@{fa-css-prefix}-hourglass-half:before { content: @fa-var-hourglass-half; }
.@{fa-css-prefix}-hourglass-3:before,
.@{fa-css-prefix}-hourglass-end:before { content: @fa-var-hourglass-end; }
.@{fa-css-prefix}-hourglass:before { content: @fa-var-hourglass; }
.@{fa-css-prefix}-hand-grab-o:before,
.@{fa-css-prefix}-hand-rock-o:before { content: @fa-var-hand-rock-o; }
.@{fa-css-prefix}-hand-stop-o:before,
.@{fa-css-prefix}-hand-paper-o:before { content: @fa-var-hand-paper-o; }
.@{fa-css-prefix}-hand-scissors-o:before { content: @fa-var-hand-scissors-o; }
.@{fa-css-prefix}-hand-lizard-o:before { content: @fa-var-hand-lizard-o; }
.@{fa-css-prefix}-hand-spock-o:before { content: @fa-var-hand-spock-o; }
.@{fa-css-prefix}-hand-pointer-o:before { content: @fa-var-hand-pointer-o; }
.@{fa-css-prefix}-hand-peace-o:before { content: @fa-var-hand-peace-o; }
.@{fa-css-prefix}-trademark:before { content: @fa-var-trademark; }
.@{fa-css-prefix}-registered:before { content: @fa-var-registered; }
.@{fa-css-prefix}-creative-commons:before { content: @fa-var-creative-commons; }
.@{fa-css-prefix}-gg:before { content: @fa-var-gg; }
.@{fa-css-prefix}-gg-circle:before { content: @fa-var-gg-circle; }
.@{fa-css-prefix}-tripadvisor:before { content: @fa-var-tripadvisor; }
.@{fa-css-prefix}-odnoklassniki:before { content: @fa-var-odnoklassniki; }
.@{fa-css-prefix}-odnoklassniki-square:before { content: @fa-var-odnoklassniki-square; }
.@{fa-css-prefix}-get-pocket:before { content: @fa-var-get-pocket; }
.@{fa-css-prefix}-wikipedia-w:before { content: @fa-var-wikipedia-w; }
.@{fa-css-prefix}-safari:before { content: @fa-var-safari; }
.@{fa-css-prefix}-chrome:before { content: @fa-var-chrome; }
.@{fa-css-prefix}-firefox:before { content: @fa-var-firefox; }
.@{fa-css-prefix}-opera:before { content: @fa-var-opera; }
.@{fa-css-prefix}-internet-explorer:before { content: @fa-var-internet-explorer; }
.@{fa-css-prefix}-tv:before,
.@{fa-css-prefix}-television:before { content: @fa-var-television; }
.@{fa-css-prefix}-contao:before { content: @fa-var-contao; }
.@{fa-css-prefix}-500px:before { content: @fa-var-500px; }
.@{fa-css-prefix}-amazon:before { content: @fa-var-amazon; }
.@{fa-css-prefix}-calendar-plus-o:before { content: @fa-var-calendar-plus-o; }
.@{fa-css-prefix}-calendar-minus-o:before { content: @fa-var-calendar-minus-o; }
.@{fa-css-prefix}-calendar-times-o:before { content: @fa-var-calendar-times-o; }
.@{fa-css-prefix}-calendar-check-o:before { content: @fa-var-calendar-check-o; }
.@{fa-css-prefix}-industry:before { content: @fa-var-industry; }
.@{fa-css-prefix}-map-pin:before { content: @fa-var-map-pin; }
.@{fa-css-prefix}-map-signs:before { content: @fa-var-map-signs; }
.@{fa-css-prefix}-map-o:before { content: @fa-var-map-o; }
.@{fa-css-prefix}-map:before { content: @fa-var-map; }
.@{fa-css-prefix}-commenting:before { content: @fa-var-commenting; }
.@{fa-css-prefix}-commenting-o:before { content: @fa-var-commenting-o; }
.@{fa-css-prefix}-houzz:before { content: @fa-var-houzz; }
.@{fa-css-prefix}-vimeo:before { content: @fa-var-vimeo; }
.@{fa-css-prefix}-black-tie:before { content: @fa-var-black-tie; }
.@{fa-css-prefix}-fonticons:before { content: @fa-var-fonticons; }
.@{fa-css-prefix}-reddit-alien:before { content: @fa-var-reddit-alien; }
.@{fa-css-prefix}-edge:before { content: @fa-var-edge; }
.@{fa-css-prefix}-credit-card-alt:before { content: @fa-var-credit-card-alt; }
.@{fa-css-prefix}-codiepie:before { content: @fa-var-codiepie; }
.@{fa-css-prefix}-modx:before { content: @fa-var-modx; }
.@{fa-css-prefix}-fort-awesome:before { content: @fa-var-fort-awesome; }
.@{fa-css-prefix}-usb:before { content: @fa-var-usb; }
.@{fa-css-prefix}-product-hunt:before { content: @fa-var-product-hunt; }
.@{fa-css-prefix}-mixcloud:before { content: @fa-var-mixcloud; }
.@{fa-css-prefix}-scribd:before { content: @fa-var-scribd; }
.@{fa-css-prefix}-pause-circle:before { content: @fa-var-pause-circle; }
.@{fa-css-prefix}-pause-circle-o:before { content: @fa-var-pause-circle-o; }
.@{fa-css-prefix}-stop-circle:before { content: @fa-var-stop-circle; }
.@{fa-css-prefix}-stop-circle-o:before { content: @fa-var-stop-circle-o; }
.@{fa-css-prefix}-shopping-bag:before { content: @fa-var-shopping-bag; }
.@{fa-css-prefix}-shopping-basket:before { content: @fa-var-shopping-basket; }
.@{fa-css-prefix}-hashtag:before { content: @fa-var-hashtag; }
.@{fa-css-prefix}-bluetooth:before { content: @fa-var-bluetooth; }
.@{fa-css-prefix}-bluetooth-b:before { content: @fa-var-bluetooth-b; }
.@{fa-css-prefix}-percent:before { content: @fa-var-percent; }
.@{fa-css-prefix}-gitlab:before { content: @fa-var-gitlab; }
.@{fa-css-prefix}-wpbeginner:before { content: @fa-var-wpbeginner; }
.@{fa-css-prefix}-wpforms:before { content: @fa-var-wpforms; }
.@{fa-css-prefix}-envira:before { content: @fa-var-envira; }
.@{fa-css-prefix}-universal-access:before { content: @fa-var-universal-access; }
.@{fa-css-prefix}-wheelchair-alt:before { content: @fa-var-wheelchair-alt; }
.@{fa-css-prefix}-question-circle-o:before { content: @fa-var-question-circle-o; }
.@{fa-css-prefix}-blind:before { content: @fa-var-blind; }
.@{fa-css-prefix}-audio-description:before { content: @fa-var-audio-description; }
.@{fa-css-prefix}-volume-control-phone:before { content: @fa-var-volume-control-phone; }
.@{fa-css-prefix}-braille:before { content: @fa-var-braille; }
.@{fa-css-prefix}-assistive-listening-systems:before { content: @fa-var-assistive-listening-systems; }
.@{fa-css-prefix}-asl-interpreting:before,
.@{fa-css-prefix}-american-sign-language-interpreting:before { content: @fa-var-american-sign-language-interpreting; }
.@{fa-css-prefix}-deafness:before,
.@{fa-css-prefix}-hard-of-hearing:before,
.@{fa-css-prefix}-deaf:before { content: @fa-var-deaf; }
.@{fa-css-prefix}-glide:before { content: @fa-var-glide; }
.@{fa-css-prefix}-glide-g:before { content: @fa-var-glide-g; }
.@{fa-css-prefix}-signing:before,
.@{fa-css-prefix}-sign-language:before { content: @fa-var-sign-language; }
.@{fa-css-prefix}-low-vision:before { content: @fa-var-low-vision; }
.@{fa-css-prefix}-viadeo:before { content: @fa-var-viadeo; }
.@{fa-css-prefix}-viadeo-square:before { content: @fa-var-viadeo-square; }
.@{fa-css-prefix}-snapchat:before { content: @fa-var-snapchat; }
.@{fa-css-prefix}-snapchat-ghost:before { content: @fa-var-snapchat-ghost; }
.@{fa-css-prefix}-snapchat-square:before { content: @fa-var-snapchat-square; }
.@{fa-css-prefix}-pied-piper:before { content: @fa-var-pied-piper; }
.@{fa-css-prefix}-first-order:before { content: @fa-var-first-order; }
.@{fa-css-prefix}-yoast:before { content: @fa-var-yoast; }
.@{fa-css-prefix}-themeisle:before { content: @fa-var-themeisle; }
.@{fa-css-prefix}-google-plus-circle:before,
.@{fa-css-prefix}-google-plus-official:before { content: @fa-var-google-plus-official; }
.@{fa-css-prefix}-fa:before,
.@{fa-css-prefix}-font-awesome:before { content: @fa-var-font-awesome; }
.@{fa-css-prefix}-handshake-o:before { content: @fa-var-handshake-o; }
.@{fa-css-prefix}-envelope-open:before { content: @fa-var-envelope-open; }
.@{fa-css-prefix}-envelope-open-o:before { content: @fa-var-envelope-open-o; }
.@{fa-css-prefix}-linode:before { content: @fa-var-linode; }
.@{fa-css-prefix}-address-book:before { content: @fa-var-address-book; }
.@{fa-css-prefix}-address-book-o:before { content: @fa-var-address-book-o; }
.@{fa-css-prefix}-vcard:before,
.@{fa-css-prefix}-address-card:before { content: @fa-var-address-card; }
.@{fa-css-prefix}-vcard-o:before,
.@{fa-css-prefix}-address-card-o:before { content: @fa-var-address-card-o; }
.@{fa-css-prefix}-user-circle:before { content: @fa-var-user-circle; }
.@{fa-css-prefix}-user-circle-o:before { content: @fa-var-user-circle-o; }
.@{fa-css-prefix}-user-o:before { content: @fa-var-user-o; }
.@{fa-css-prefix}-id-badge:before { content: @fa-var-id-badge; }
.@{fa-css-prefix}-drivers-license:before,
.@{fa-css-prefix}-id-card:before { content: @fa-var-id-card; }
.@{fa-css-prefix}-drivers-license-o:before,
.@{fa-css-prefix}-id-card-o:before { content: @fa-var-id-card-o; }
.@{fa-css-prefix}-quora:before { content: @fa-var-quora; }
.@{fa-css-prefix}-free-code-camp:before { content: @fa-var-free-code-camp; }
.@{fa-css-prefix}-telegram:before { content: @fa-var-telegram; }
.@{fa-css-prefix}-thermometer-4:before,
.@{fa-css-prefix}-thermometer:before,
.@{fa-css-prefix}-thermometer-full:before { content: @fa-var-thermometer-full; }
.@{fa-css-prefix}-thermometer-3:before,
.@{fa-css-prefix}-thermometer-three-quarters:before { content: @fa-var-thermometer-three-quarters; }
.@{fa-css-prefix}-thermometer-2:before,
.@{fa-css-prefix}-thermometer-half:before { content: @fa-var-thermometer-half; }
.@{fa-css-prefix}-thermometer-1:before,
.@{fa-css-prefix}-thermometer-quarter:before { content: @fa-var-thermometer-quarter; }
.@{fa-css-prefix}-thermometer-0:before,
.@{fa-css-prefix}-thermometer-empty:before { content: @fa-var-thermometer-empty; }
.@{fa-css-prefix}-shower:before { content: @fa-var-shower; }
.@{fa-css-prefix}-bathtub:before,
.@{fa-css-prefix}-s15:before,
.@{fa-css-prefix}-bath:before { content: @fa-var-bath; }
.@{fa-css-prefix}-podcast:before { content: @fa-var-podcast; }
.@{fa-css-prefix}-window-maximize:before { content: @fa-var-window-maximize; }
.@{fa-css-prefix}-window-minimize:before { content: @fa-var-window-minimize; }
.@{fa-css-prefix}-window-restore:before { content: @fa-var-window-restore; }
.@{fa-css-prefix}-times-rectangle:before,
.@{fa-css-prefix}-window-close:before { content: @fa-var-window-close; }
.@{fa-css-prefix}-times-rectangle-o:before,
.@{fa-css-prefix}-window-close-o:before { content: @fa-var-window-close-o; }
.@{fa-css-prefix}-bandcamp:before { content: @fa-var-bandcamp; }
.@{fa-css-prefix}-grav:before { content: @fa-var-grav; }
.@{fa-css-prefix}-etsy:before { content: @fa-var-etsy; }
.@{fa-css-prefix}-imdb:before { content: @fa-var-imdb; }
.@{fa-css-prefix}-ravelry:before { content: @fa-var-ravelry; }
.@{fa-css-prefix}-eercast:before { content: @fa-var-eercast; }
.@{fa-css-prefix}-microchip:before { content: @fa-var-microchip; }
.@{fa-css-prefix}-snowflake-o:before { content: @fa-var-snowflake-o; }
.@{fa-css-prefix}-superpowers:before { content: @fa-var-superpowers; }
.@{fa-css-prefix}-wpexplorer:before { content: @fa-var-wpexplorer; }
.@{fa-css-prefix}-meetup:before { content: @fa-var-meetup; }


================================================
FILE: docs/assets/font awesome/less/larger.less
================================================
// Icon Sizes
// -------------------------

/* makes the font 33% larger relative to the icon container */
.@{fa-css-prefix}-lg {
  font-size: (4em / 3);
  line-height: (3em / 4);
  vertical-align: -15%;
}
.@{fa-css-prefix}-2x { font-size: 2em; }
.@{fa-css-prefix}-3x { font-size: 3em; }
.@{fa-css-prefix}-4x { font-size: 4em; }
.@{fa-css-prefix}-5x { font-size: 5em; }


================================================
FILE: docs/assets/font awesome/less/list.less
================================================
// List Icons
// -------------------------

.@{fa-css-prefix}-ul {
  padding-left: 0;
  margin-left: @fa-li-width;
  list-style-type: none;
  > li { position: relative; }
}
.@{fa-css-prefix}-li {
  position: absolute;
  left: -@fa-li-width;
  width: @fa-li-width;
  top: (2em / 14);
  text-align: center;
  &.@{fa-css-prefix}-lg {
    left: (-@fa-li-width + (4em / 14));
  }
}


================================================
FILE: docs/assets/font awesome/less/mixins.less
================================================
// Mixins
// --------------------------

.fa-icon() {
  display: inline-block;
  font: normal normal normal @fa-font-size-base/@fa-line-height-base FontAwesome; // shortening font declaration
  font-size: inherit; // can't have font-size inherit on line above, so need to override
  text-rendering: auto; // optimizelegibility throws things off #1094
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;

}

.fa-icon-rotate(@degrees, @rotation) {
  -ms-filter: "progid:DXImageTransform.Microsoft.BasicImage(rotation=@{rotation})";
  -webkit-transform: rotate(@degrees);
      -ms-transform: rotate(@degrees);
          transform: rotate(@degrees);
}

.fa-icon-flip(@horiz, @vert, @rotation) {
  -ms-filter: "progid:DXImageTransform.Microsoft.BasicImage(rotation=@{rotation}, mirror=1)";
  -webkit-transform: scale(@horiz, @vert);
      -ms-transform: scale(@horiz, @vert);
          transform: scale(@horiz, @vert);
}


// Only display content to screen readers. A la Bootstrap 4.
//
// See: http://a11yproject.com/posts/how-to-hide-content/

.sr-only() {
  position: absolute;
  width: 1px;
  height: 1px;
  padding: 0;
  margin: -1px;
  overflow: hidden;
  clip: rect(0,0,0,0);
  border: 0;
}

// Use in conjunction with .sr-only to only display content when it's focused.
//
// Useful for "Skip to main content" links; see http://www.w3.org/TR/2013/NOTE-WCAG20-TECHS-20130905/G1
//
// Credit: HTML5 Boilerplate

.sr-only-focusable() {
  &:active,
  &:focus {
    position: static;
    width: auto;
    height: auto;
    margin: 0;
    overflow: visible;
    clip: auto;
  }
}


================================================
FILE: docs/assets/font awesome/less/path.less
================================================
/* FONT PATH
 * -------------------------- */

@font-face {
  font-family: 'FontAwesome';
  src: url('@{fa-font-path}/fontawesome-webfont.eot?v=@{fa-version}');
  src: url('@{fa-font-path}/fontawesome-webfont.eot?#iefix&v=@{fa-version}') format('embedded-opentype'),
    url('@{fa-font-path}/fontawesome-webfont.woff2?v=@{fa-version}') format('woff2'),
    url('@{fa-font-path}/fontawesome-webfont.woff?v=@{fa-version}') format('woff'),
    url('@{fa-font-path}/fontawesome-webfont.ttf?v=@{fa-version}') format('truetype'),
    url('@{fa-font-path}/fontawesome-webfont.svg?v=@{fa-version}#fontawesomeregular') format('svg');
  // src: url('@{fa-font-path}/FontAwesome.otf') format('opentype'); // used when developing fonts
  font-weight: normal;
  font-style: normal;
}


================================================
FILE: docs/assets/font awesome/less/rotated-flipped.less
================================================
// Rotated & Flipped Icons
// -------------------------

.@{fa-css-prefix}-rotate-90  { .fa-icon-rotate(90deg, 1);  }
.@{fa-css-prefix}-rotate-180 { .fa-icon-rotate(180deg, 2); }
.@{fa-css-prefix}-rotate-270 { .fa-icon-rotate(270deg, 3); }

.@{fa-css-prefix}-flip-horizontal { .fa-icon-flip(-1, 1, 0); }
.@{fa-css-prefix}-flip-vertical   { .fa-icon-flip(1, -1, 2); }

// Hook for IE8-9
// -------------------------

:root .@{fa-css-prefix}-rotate-90,
:root .@{fa-css-prefix}-rotate-180,
:root .@{fa-css-prefix}-rotate-270,
:root .@{fa-css-prefix}-flip-horizontal,
:root .@{fa-css-prefix}-flip-vertical {
  filter: none;
}


================================================
FILE: docs/assets/font awesome/less/screen-reader.less
================================================
// Screen Readers
// -------------------------

.sr-only { .sr-only(); }
.sr-only-focusable { .sr-only-focusable(); }


================================================
FILE: docs/assets/font awesome/less/stacked.less
================================================
// Stacked Icons
// -------------------------

.@{fa-css-prefix}-stack {
  position: relative;
  display: inline-block;
  width: 2em;
  height: 2em;
  line-height: 2em;
  vertical-align: middle;
}
.@{fa-css-prefix}-stack-1x, .@{fa-css-prefix}-stack-2x {
  position: absolute;
  left: 0;
  width: 100%;
  text-align: center;
}
.@{fa-css-prefix}-stack-1x { line-height: inherit; }
.@{fa-css-prefix}-stack-2x { font-size: 2em; }
.@{fa-css-prefix}-inverse { color: @fa-inverse; }


================================================
FILE: docs/assets/font awesome/less/variables.less
================================================
// Variables
// --------------------------

@fa-font-path:        "../fonts";
@fa-font-size-base:   14px;
@fa-line-height-base: 1;
//@fa-font-path:        "//netdna.bootstrapcdn.com/font-awesome/4.7.0/fonts"; // for referencing Bootstrap CDN font files directly
@fa-css-prefix:       fa;
@fa-version:          "4.7.0";
@fa-border-color:     #eee;
@fa-inverse:          #fff;
@fa-li-width:         (30em / 14);

@fa-var-500px: "\f26e";
@fa-var-address-book: "\f2b9";
@fa-var-address-book-o: "\f2ba";
@fa-var-address-card: "\f2bb";
@fa-var-address-card-o: "\f2bc";
@fa-var-adjust: "\f042";
@fa-var-adn: "\f170";
@fa-var-align-center: "\f037";
@fa-var-align-justify: "\f039";
@fa-var-align-left: "\f036";
@fa-var-align-right: "\f038";
@fa-var-amazon: "\f270";
@fa-var-ambulance: "\f0f9";
@fa-var-american-sign-language-interpreting: "\f2a3";
@fa-var-anchor: "\f13d";
@fa-var-android: "\f17b";
@fa-var-angellist: "\f209";
@fa-var-angle-double-down: "\f103";
@fa-var-angle-double-left: "\f100";
@fa-var-angle-double-right: "\f101";
@fa-var-angle-double-up: "\f102";
@fa-var-angle-down: "\f107";
@fa-var-angle-left: "\f104";
@fa-var-angle-right: "\f105";
@fa-var-angle-up: "\f106";
@fa-var-apple: "\f179";
@fa-var-archive: "\f187";
@fa-var-area-chart: "\f1fe";
@fa-var-arrow-circle-down: "\f0ab";
@fa-var-arrow-circle-left: "\f0a8";
@fa-var-arrow-circle-o-down: "\f01a";
@fa-var-arrow-circle-o-left: "\f190";
@fa-var-arrow-circle-o-right: "\f18e";
@fa-var-arrow-circle-o-up: "\f01b";
@fa-var-arrow-circle-right: "\f0a9";
@fa-var-arrow-circle-up: "\f0aa";
@fa-var-arrow-down: "\f063";
@fa-var-arrow-left: "\f060";
@fa-var-arrow-right: "\f061";
@fa-var-arrow-up: "\f062";
@fa-var-arrows: "\f047";
@fa-var-arrows-alt: "\f0b2";
@fa-var-arrows-h: "\f07e";
@fa-var-arrows-v: "\f07d";
@fa-var-asl-interpreting: "\f2a3";
@fa-var-assistive-listening-systems: "\f2a2";
@fa-var-asterisk: "\f069";
@fa-var-at: "\f1fa";
@fa-var-audio-description: "\f29e";
@fa-var-automobile: "\f1b9";
@fa-var-backward: "\f04a";
@fa-var-balance-scale: "\f24e";
@fa-var-ban: "\f05e";
@fa-var-bandcamp: "\f2d5";
@fa-var-bank: "\f19c";
@fa-var-bar-chart: "\f080";
@fa-var-bar-chart-o: "\f080";
@fa-var-barcode: "\f02a";
@fa-var-bars: "\f0c9";
@fa-var-bath: "\f2cd";
@fa-var-bathtub: "\f2cd";
@fa-var-battery: "\f240";
@fa-var-battery-0: "\f244";
@fa-var-battery-1: "\f243";
@fa-var-battery-2: "\f242";
@fa-var-battery-3: "\f241";
@fa-var-battery-4: "\f240";
@fa-var-battery-empty: "\f244";
@fa-var-battery-full: "\f240";
@fa-var-battery-half: "\f242";
@fa-var-battery-quarter: "\f243";
@fa-var-battery-three-quarters: "\f241";
@fa-var-bed: "\f236";
@fa-var-beer: "\f0fc";
@fa-var-behance: "\f1b4";
@fa-var-behance-square: "\f1b5";
@fa-var-bell: "\f0f3";
@fa-var-bell-o: "\f0a2";
@fa-var-bell-slash: "\f1f6";
@fa-var-bell-slash-o: "\f1f7";
@fa-var-bicycle: "\f206";
@fa-var-binoculars: "\f1e5";
@fa-var-birthday-cake: "\f1fd";
@fa-var-bitbucket: "\f171";
@fa-var-bitbucket-square: "\f172";
@fa-var-bitcoin: "\f15a";
@fa-var-black-tie: "\f27e";
@fa-var-blind: "\f29d";
@fa-var-bluetooth: "\f293";
@fa-var-bluetooth-b: "\f294";
@fa-var-bold: "\f032";
@fa-var-bolt: "\f0e7";
@fa-var-bomb: "\f1e2";
@fa-var-book: "\f02d";
@fa-var-bookmark: "\f02e";
@fa-var-bookmark-o: "\f097";
@fa-var-braille: "\f2a1";
@fa-var-briefcase: "\f0b1";
@fa-var-btc: "\f15a";
@fa-var-bug: "\f188";
@fa-var-building: "\f1ad";
@fa-var-building-o: "\f0f7";
@fa-var-bullhorn: "\f0a1";
@fa-var-bullseye: "\f140";
@fa-var-bus: "\f207";
@fa-var-buysellads: "\f20d";
@fa-var-cab: "\f1ba";
@fa-var-calculator: "\f1ec";
@fa-var-calendar: "\f073";
@fa-var-calendar-check-o: "\f274";
@fa-var-calendar-minus-o: "\f272";
@fa-var-calendar-o: "\f133";
@fa-var-calendar-plus-o: "\f271";
@fa-var-calendar-times-o: "\f273";
@fa-var-camera: "\f030";
@fa-var-camera-retro: "\f083";
@fa-var-car: "\f1b9";
@fa-var-caret-down: "\f0d7";
@fa-var-caret-left: "\f0d9";
@fa-var-caret-right: "\f0da";
@fa-var-caret-square-o-down: "\f150";
@fa-var-caret-square-o-left: "\f191";
@fa-var-caret-square-o-right: "\f152";
@fa-var-caret-square-o-up: "\f151";
@fa-var-caret-up: "\f0d8";
@fa-var-cart-arrow-down: "\f218";
@fa-var-cart-plus: "\f217";
@fa-var-cc: "\f20a";
@fa-var-cc-amex: "\f1f3";
@fa-var-cc-diners-club: "\f24c";
@fa-var-cc-discover: "\f1f2";
@fa-var-cc-jcb: "\f24b";
@fa-var-cc-mastercard: "\f1f1";
@fa-var-cc-paypal: "\f1f4";
@fa-var-cc-stripe: "\f1f5";
@fa-var-cc-visa: "\f1f0";
@fa-var-certificate: "\f0a3";
@fa-var-chain: "\f0c1";
@fa-var-chain-broken: "\f127";
@fa-var-check: "\f00c";
@fa-var-check-circle: "\f058";
@fa-var-check-circle-o: "\f05d";
@fa-var-check-square: "\f14a";
@fa-var-check-square-o: "\f046";
@fa-var-chevron-circle-down: "\f13a";
@fa-var-chevron-circle-left: "\f137";
@fa-var-chevron-circle-right: "\f138";
@fa-var-chevron-circle-up: "\f139";
@fa-var-chevron-down: "\f078";
@fa-var-chevron-left: "\f053";
@fa-var-chevron-right: "\f054";
@fa-var-chevron-up: "\f077";
@fa-var-child: "\f1ae";
@fa-var-chrome: "\f268";
@fa-var-circle: "\f111";
@fa-var-circle-o: "\f10c";
@fa-var-circle-o-notch: "\f1ce";
@fa-var-circle-thin: "\f1db";
@fa-var-clipboard: "\f0ea";
@fa-var-clock-o: "\f017";
@fa-var-clone: "\f24d";
@fa-var-close: "\f00d";
@fa-var-cloud: "\f0c2";
@fa-var-cloud-download: "\f0ed";
@fa-var-cloud-upload: "\f0ee";
@fa-var-cny: "\f157";
@fa-var-code: "\f121";
@fa-var-code-fork: "\f126";
@fa-var-codepen: "\f1cb";
@fa-var-codiepie: "\f284";
@fa-var-coffee: "\f0f4";
@fa-var-cog: "\f013";
@fa-var-cogs: "\f085";
@fa-var-columns: "\f0db";
@fa-var-comment: "\f075";
@fa-var-comment-o: "\f0e5";
@fa-var-commenting: "\f27a";
@fa-var-commenting-o: "\f27b";
@fa-var-comments: "\f086";
@fa-var-comments-o: "\f0e6";
@fa-var-compass: "\f14e";
@fa-var-compress: "\f066";
@fa-var-connectdevelop: "\f20e";
@fa-var-contao: "\f26d";
@fa-var-copy: "\f0c5";
@fa-var-copyright: "\f1f9";
@fa-var-creative-commons: "\f25e";
@fa-var-credit-card: "\f09d";
@fa-var-credit-card-alt: "\f283";
@fa-var-crop: "\f125";
@fa-var-crosshairs: "\f05b";
@fa-var-css3: "\f13c";
@fa-var-cube: "\f1b2";
@fa-var-cubes: "\f1b3";
@fa-var-cut: "\f0c4";
@fa-var-cutlery: "\f0f5";
@fa-var-dashboard: "\f0e4";
@fa-var-dashcube: "\f210";
@fa-var-database: "\f1c0";
@fa-var-deaf: "\f2a4";
@fa-var-deafness: "\f2a4";
@fa-var-dedent: "\f03b";
@fa-var-delicious: "\f1a5";
@fa-var-desktop: "\f108";
@fa-var-deviantart: "\f1bd";
@fa-var-diamond: "\f219";
@fa-var-digg: "\f1a6";
@fa-var-dollar: "\f155";
@fa-var-dot-circle-o: "\f192";
@fa-var-download: "\f019";
@fa-var-dribbble: "\f17d";
@fa-var-drivers-license: "\f2c2";
@fa-var-drivers-license-o: "\f2c3";
@fa-var-dropbox: "\f16b";
@fa-var-drupal: "\f1a9";
@fa-var-edge: "\f282";
@fa-var-edit: "\f044";
@fa-var-eercast: "\f2da";
@fa-var-eject: "\f052";
@fa-var-ellipsis-h: "\f141";
@fa-var-ellipsis-v: "\f142";
@fa-var-empire: "\f1d1";
@fa-var-envelope: "\f0e0";
@fa-var-envelope-o: "\f003";
@fa-var-envelope-open: "\f2b6";
@fa-var-envelope-open-o: "\f2b7";
@fa-var-envelope-square: "\f199";
@fa-var-envira: "\f299";
@fa-var-eraser: "\f12d";
@fa-var-etsy: "\f2d7";
@fa-var-eur: "\f153";
@fa-var-euro: "\f153";
@fa-var-exchange: "\f0ec";
@fa-var-exclamation: "\f12a";
@fa-var-exclamation-circle: "\f06a";
@fa-var-exclamation-triangle: "\f071";
@fa-var-expand: "\f065";
@fa-var-expeditedssl: "\f23e";
@fa-var-external-link: "\f08e";
@fa-var-external-link-square: "\f14c";
@fa-var-eye: "\f06e";
@fa-var-eye-slash: "\f070";
@fa-var-eyedropper: "\f1fb";
@fa-var-fa: "\f2b4";
@fa-var-facebook: "\f09a";
@fa-var-facebook-f: "\f09a";
@fa-var-facebook-official: "\f230";
@fa-var-facebook-square: "\f082";
@fa-var-fast-backward: "\f049";
@fa-var-fast-forward: "\f050";
@fa-var-fax: "\f1ac";
@fa-var-feed: "\f09e";
@fa-var-female: "\f182";
@fa-var-fighter-jet: "\f0fb";
@fa-var-file: "\f15b";
@fa-var-file-archive-o: "\f1c6";
@fa-var-file-audio-o: "\f1c7";
@fa-var-file-code-o: "\f1c9";
@fa-var-file-excel-o: "\f1c3";
@fa-var-file-image-o: "\f1c5";
@fa-var-file-movie-o: "\f1c8";
@fa-var-file-o: "\f016";
@fa-var-file-pdf-o: "\f1c1";
@fa-var-file-photo-o: "\f1c5";
@fa-var-file-picture-o: "\f1c5";
@fa-var-file-powerpoint-o: "\f1c4";
@fa-var-file-sound-o: "\f1c7";
@fa-var-file-text: "\f15c";
@fa-var-file-text-o: "\f0f6";
@fa-var-file-video-o: "\f1c8";
@fa-var-file-word-o: "\f1c2";
@fa-var-file-zip-o: "\f1c6";
@fa-var-files-o: "\f0c5";
@fa-var-film: "\f008";
@fa-var-filter: "\f0b0";
@fa-var-fire: "\f06d";
@fa-var-fire-extinguisher: "\f134";
@fa-var-firefox: "\f269";
@fa-var-first-order: "\f2b0";
@fa-var-flag: "\f024";
@fa-var-flag-checkered: "\f11e";
@fa-var-flag-o: "\f11d";
@fa-var-flash: "\f0e7";
@fa-var-flask: "\f0c3";
@fa-var-flickr: "\f16e";
@fa-var-floppy-o: "\f0c7";
@fa-var-folder: "\f07b";
@fa-var-folder-o: "\f114";
@fa-var-folder-open: "\f07c";
@fa-var-folder-open-o: "\f115";
@fa-var-font: "\f031";
@fa-var-font-awesome: "\f2b4";
@fa-var-fonticons: "\f280";
@fa-var-fort-awesome: "\f286";
@fa-var-forumbee: "\f211";
@fa-var-forward: "\f04e";
@fa-var-foursquare: "\f180";
@fa-var-free-code-camp: "\f2c5";
@fa-var-frown-o: "\f119";
@fa-var-futbol-o: "\f1e3";
@fa-var-gamepad: "\f11b";
@fa-var-gavel: "\f0e3";
@fa-var-gbp: "\f154";
@fa-var-ge: "\f1d1";
@fa-var-gear: "\f013";
@fa-var-gears: "\f085";
@fa-var-genderless: "\f22d";
@fa-var-get-pocket: "\f265";
@fa-var-gg: "\f260";
@fa-var-gg-circle: "\f261";
@fa-var-gift: "\f06b";
@fa-var-git: "\f1d3";
@fa-var-git-square: "\f1d2";
@fa-var-github: "\f09b";
@fa-var-github-alt: "\f113";
@fa-var-github-square: "\f092";
@fa-var-gitlab: "\f296";
@fa-var-gittip: "\f184";
@fa-var-glass: "\f000";
@fa-var-glide: "\f2a5";
@fa-var-glide-g: "\f2a6";
@fa-var-globe: "\f0ac";
@fa-var-google: "\f1a0";
@fa-var-google-plus: "\f0d5";
@fa-var-google-plus-circle: "\f2b3";
@fa-var-google-plus-official: "\f2b3";
@fa-var-google-plus-square: "\f0d4";
@fa-var-google-wallet: "\f1ee";
@fa-var-graduation-cap: "\f19d";
@fa-var-gratipay: "\f184";
@fa-var-grav: "\f2d6";
@fa-var-group: "\f0c0";
@fa-var-h-square: "\f0fd";
@fa-var-hacker-news: "\f1d4";
@fa-var-hand-grab-o: "\f255";
@fa-var-hand-lizard-o: "\f258";
@fa-var-hand-o-down: "\f0a7";
@fa-var-hand-o-left: "\f0a5";
@fa-var-hand-o-right: "\f0a4";
@fa-var-hand-o-up: "\f0a6";
@fa-var-hand-paper-o: "\f256";
@fa-var-hand-peace-o: "\f25b";
@fa-var-hand-pointer-o: "\f25a";
@fa-var-hand-rock-o: "\f255";
@fa-var-hand-scissors-o: "\f257";
@fa-var-hand-spock-o: "\f259";
@fa-var-hand-stop-o: "\f256";
@fa-var-handshake-o: "\f2b5";
@fa-var-hard-of-hearing: "\f2a4";
@fa-var-hashtag: "\f292";
@fa-var-hdd-o: "\f0a0";
@fa-var-header: "\f1dc";
@fa-var-headphones: "\f025";
@fa-var-heart: "\f004";
@fa-var-heart-o: "\f08a";
@fa-var-heartbeat: "\f21e";
@fa-var-history: "\f1da";
@fa-var-home: "\f015";
@fa-var-hospital-o: "\f0f8";
@fa-var-hotel: "\f236";
@fa-var-hourglass: "\f254";
@fa-var-hourglass-1: "\f251";
@fa-var-hourglass-2: "\f252";
@fa-var-hourglass-3: "\f253";
@fa-var-hourglass-end: "\f253";
@fa-var-hourglass-half: "\f252";
@fa-var-hourglass-o: "\f250";
@fa-var-hourglass-start: "\f251";
@fa-var-houzz: "\f27c";
@fa-var-html5: "\f13b";
@fa-var-i-cursor: "\f246";
@fa-var-id-badge: "\f2c1";
@fa-var-id-card: "\f2c2";
@fa-var-id-card-o: "\f2c3";
@fa-var-ils: "\f20b";
@fa-var-image: "\f03e";
@fa-var-imdb: "\f2d8";
@fa-var-inbox: "\f01c";
@fa-var-indent: "\f03c";
@fa-var-industry: "\f275";
@fa-var-info: "\f129";
@fa-var-info-circle: "\f05a";
@fa-var-inr: "\f156";
@fa-var-instagram: "\f16d";
@fa-var-institution: "\f19c";
@fa-var-internet-explorer: "\f26b";
@fa-var-intersex: "\f224";
@fa-var-ioxhost: "\f208";
@fa-var-italic: "\f033";
@fa-var-joomla: "\f1aa";
@fa-var-jpy: "\f157";
@fa-var-jsfiddle: "\f1cc";
@fa-var-key: "\f084";
@fa-var-keyboard-o: "\f11c";
@fa-var-krw: "\f159";
@fa-var-language: "\f1ab";
@fa-var-laptop: "\f109";
@fa-var-lastfm: "\f202";
@fa-var-lastfm-square: "\f203";
@fa-var-leaf: "\f06c";
@fa-var-leanpub: "\f212";
@fa-var-legal: "\f0e3";
@fa-var-lemon-o: "\f094";
@fa-var-level-down: "\f149";
@fa-var-level-up: "\f148";
@fa-var-life-bouy: "\f1cd";
@fa-var-life-buoy: "\f1cd";
@fa-var-life-ring: "\f1cd";
@fa-var-life-saver: "\f1cd";
@fa-var-lightbulb-o: "\f0eb";
@fa-var-line-chart: "\f201";
@fa-var-link: "\f0c1";
@fa-var-linkedin: "\f0e1";
@fa-var-linkedin-square: "\f08c";
@fa-var-linode: "\f2b8";
@fa-var-linux: "\f17c";
@fa-var-list: "\f03a";
@fa-var-list-alt: "\f022";
@fa-var-list-ol: "\f0cb";
@fa-var-list-ul: "\f0ca";
@fa-var-location-arrow: "\f124";
@fa-var-lock: "\f023";
@fa-var-long-arrow-down: "\f175";
@fa-var-long-arrow-left: "\f177";
@fa-var-long-arrow-right: "\f178";
@fa-var-long-arrow-up: "\f176";
@fa-var-low-vision: "\f2a8";
@fa-var-magic: "\f0d0";
@fa-var-magnet: "\f076";
@fa-var-mail-forward: "\f064";
@fa-var-mail-reply: "\f112";
@fa-var-mail-reply-all: "\f122";
@fa-var-male: "\f183";
@fa-var-map: "\f279";
@fa-var-map-marker: "\f041";
@fa-var-map-o: "\f278";
@fa-var-map-pin: "\f276";
@fa-var-map-signs: "\f277";
@fa-var-mars: "\f222";
@fa-var-mars-double: "\f227";
@fa-var-mars-stroke: "\f229";
@fa-var-mars-stroke-h: "\f22b";
@fa-var-mars-stroke-v: "\f22a";
@fa-var-maxcdn: "\f136";
@fa-var-meanpath: "\f20c";
@fa-var-medium: "\f23a";
@fa-var-medkit: "\f0fa";
@fa-var-meetup: "\f2e0";
@fa-var-meh-o: "\f11a";
@fa-var-mercury: "\f223";
@fa-var-microchip: "\f2db";
@fa-var-microphone: "\f130";
@fa-var-microphone-slash: "\f131";
@fa-var-minus: "\f068";
@fa-var-minus-circle: "\f056";
@fa-var-minus-square: "\f146";
@fa-var-minus-square-o: "\f147";
@fa-var-mixcloud: "\f289";
@fa-var-mobile: "\f10b";
@fa-var-mobile-phone: "\f10b";
@fa-var-modx: "\f285";
@fa-var-money: "\f0d6";
@fa-var-moon-o: "\f186";
@fa-var-mortar-board: "\f19d";
@fa-var-motorcycle: "\f21c";
@fa-var-mouse-pointer: "\f245";
@fa-var-music: "\f001";
@fa-var-navicon: "\f0c9";
@fa-var-neuter: "\f22c";
@fa-var-newspaper-o: "\f1ea";
@fa-var-object-group: "\f247";
@fa-var-object-ungroup: "\f248";
@fa-var-odnoklassniki: "\f263";
@fa-var-odnoklassniki-square: "\f264";
@fa-var-opencart: "\f23d";
@fa-var-openid: "\f19b";
@fa-var-opera: "\f26a";
@fa-var-optin-monster: "\f23c";
@fa-var-outdent: "\f03b";
@fa-var-pagelines: "\f18c";
@fa-var-paint-brush: "\f1fc";
@fa-var-paper-plane: "\f1d8";
@fa-var-paper-plane-o: "\f1d9";
@fa-var-paperclip: "\f0c6";
@fa-var-paragraph: "\f1dd";
@fa-var-paste: "\f0ea";
@fa-var-pause: "\f04c";
@fa-var-pause-circle: "\f28b";
@fa-var-pause-circle-o: "\f28c";
@fa-var-paw: "\f1b0";
@fa-var-paypal: "\f1ed";
@fa-var-pencil: "\f040";
@fa-var-pencil-square: "\f14b";
@fa-var-pencil-square-o: "\f044";
@fa-var-percent: "\f295";
@fa-var-phone: "\f095";
@fa-var-phone-square: "\f098";
@fa-var-photo: "\f03e";
@fa-var-picture-o: "\f03e";
@fa-var-pie-chart: "\f200";
@fa-var-pied-piper: "\f2ae";
@fa-var-pied-piper-alt: "\f1a8";
@fa-var-pied-piper-pp: "\f1a7";
@fa-var-pinterest: "\f0d2";
@fa-var-pinterest-p: "\f231";
@fa-var-pinterest-square: "\f0d3";
@fa-var-plane: "\f072";
@fa-var-play: "\f04b";
@fa-var-play-circle: "\f144";
@fa-var-play-circle-o: "\f01d";
@fa-var-plug: "\f1e6";
@fa-var-plus: "\f067";
@fa-var-plus-circle: "\f055";
@fa-var-plus-square: "\f0fe";
@fa-var-plus-square-o: "\f196";
@fa-var-podcast: "\f2ce";
@fa-var-power-off: "\f011";
@fa-var-print: "\f02f";
@fa-var-product-hunt: "\f288";
@fa-var-puzzle-piece: "\f12e";
@fa-var-qq: "\f1d6";
@fa-var-qrcode: "\f029";
@fa-var-question: "\f128";
@fa-var-question-circle: "\f059";
@fa-var-question-circle-o: "\f29c";
@fa-var-quora: "\f2c4";
@fa-var-quote-left: "\f10d";
@fa-var-quote-right: "\f10e";
@fa-var-ra: "\f1d0";
@fa-var-random: "\f074";
@fa-var-ravelry: "\f2d9";
@fa-var-rebel: "\f1d0";
@fa-var-recycle: "\f1b8";
@fa-var-reddit: "\f1a1";
@fa-var-reddit-alien: "\f281";
@fa-var-reddit-square: "\f1a2";
@fa-var-refresh: "\f021";
@fa-var-registered: "\f25d";
@fa-var-remove: "\f00d";
@fa-var-renren: "\f18b";
@fa-var-reorder: "\f0c9";
@fa-var-repeat: "\f01e";
@fa-var-reply: "\f112";
@fa-var-reply-all: "\f122";
@fa-var-resistance: "\f1d0";
@fa-var-retweet: "\f079";
@fa-var-rmb: "\f157";
@fa-var-road: "\f018";
@fa-var-rocket: "\f135";
@fa-var-rotate-left: "\f0e2";
@fa-var-rotate-right: "\f01e";
@fa-var-rouble: "\f158";
@fa-var-rss: "\f09e";
@fa-var-rss-square: "\f143";
@fa-var-rub: "\f158";
@fa-var-ruble: "\f158";
@fa-var-rupee: "\f156";
@fa-var-s15: "\f2cd";
@fa-var-safari: "\f267";
@fa-var-save: "\f0c7";
@fa-var-scissors: "\f0c4";
@fa-var-scribd: "\f28a";
@fa-var-search: "\f002";
@fa-var-search-minus: "\f010";
@fa-var-search-plus: "\f00e";
@fa-var-sellsy: "\f213";
@fa-var-send: "\f1d8";
@fa-var-send-o: "\f1d9";
@fa-var-server: "\f233";
@fa-var-share: "\f064";
@fa-var-share-alt: "\f1e0";
@fa-var-share-alt-square: "\f1e1";
@fa-var-share-square: "\f14d";
@fa-var-share-square-o: "\f045";
@fa-var-shekel: "\f20b";
@fa-var-sheqel: "\f20b";
@fa-var-shield: "\f132";
@fa-var-ship: "\f21a";
@fa-var-shirtsinbulk: "\f214";
@fa-var-shopping-bag: "\f290";
@fa-var-shopping-basket: "\f291";
@fa-var-shopping-cart: "\f07a";
@fa-var-shower: "\f2cc";
@fa-var-sign-in: "\f090";
@fa-var-sign-language: "\f2a7";
@fa-var-sign-out: "\f08b";
@fa-var-signal: "\f012";
@fa-var-signing: "\f2a7";
@fa-var-simplybuilt: "\f215";
@fa-var-sitemap: "\f0e8";
@fa-var-skyatlas: "\f216";
@fa-var-skype: "\f17e";
@fa-var-slack: "\f198";
@fa-var-sliders: "\f1de";
@fa-var-slideshare: "\f1e7";
@fa-var-smile-o: "\f118";
@fa-var-snapchat: "\f2ab";
@fa-var-snapchat-ghost: "\f2ac";
@fa-var-snapchat-square: "\f2ad";
@fa-var-snowflake-o: "\f2dc";
@fa-var-soccer-ball-o: "\f1e3";
@fa-var-sort: "\f0dc";
@fa-var-sort-alpha-asc: "\f15d";
@fa-var-sort-alpha-desc: "\f15e";
@fa-var-sort-amount-asc: "\f160";
@fa-var-sort-amount-desc: "\f161";
@fa-var-sort-asc: "\f0de";
@fa-var-sort-desc: "\f0dd";
@fa-var-sort-down: "\f0dd";
@fa-var-sort-numeric-asc: "\f162";
@fa-var-sort-numeric-desc: "\f163";
@fa-var-sort-up: "\f0de";
@fa-var-soundcloud: "\f1be";
@fa-var-space-shuttle: "\f197";
@fa-var-spinner: "\f110";
@fa-var-spoon: "\f1b1";
@fa-var-spotify: "\f1bc";
@fa-var-square: "\f0c8";
@fa-var-square-o: "\f096";
@fa-var-stack-exchange: "\f18d";
@fa-var-stack-overflow: "\f16c";
@fa-var-star: "\f005";
@fa-var-star-half: "\f089";
@fa-var-star-half-empty: "\f123";
@fa-var-star-half-full: "\f123";
@fa-var-star-half-o: "\f123";
@fa-var-star-o: "\f006";
@fa-var-steam: "\f1b6";
@fa-var-steam-square: "\f1b7";
@fa-var-step-backward: "\f048";
@fa-var-step-forward: "\f051";
@fa-var-stethoscope: "\f0f1";
@fa-var-sticky-note: "\f249";
@fa-var-sticky-note-o: "\f24a";
@fa-var-stop: "\f04d";
@fa-var-stop-circle: "\f28d";
@fa-var-stop-circle-o: "\f28e";
@fa-var-street-view: "\f21d";
@fa-var-strikethrough: "\f0cc";
@fa-var-stumbleupon: "\f1a4";
@fa-var-stumbleupon-circle: "\f1a3";
@fa-var-subscript: "\f12c";
@fa-var-subway: "\f239";
@fa-var-suitcase: "\f0f2";
@fa-var-sun-o: "\f185";
@fa-var-superpowers: "\f2dd";
@fa-var-superscript: "\f12b";
@fa-var-support: "\f1cd";
@fa-var-table: "\f0ce";
@fa-var-tablet: "\f10a";
@fa-var-tachometer: "\f0e4";
@fa-var-tag: "\f02b";
@fa-var-tags: "\f02c";
@fa-var-tasks: "\f0ae";
@fa-var-taxi: "\f1ba";
@fa-var-telegram: "\f2c6";
@fa-var-television: "\f26c";
@fa-var-tencent-weibo: "\f1d5";
@fa-var-terminal: "\f120";
@fa-var-text-height: "\f034";
@fa-var-text-width: "\f035";
@fa-var-th: "\f00a";
@fa-var-th-large: "\f009";
@fa-var-th-list: "\f00b";
@fa-var-themeisle: "\f2b2";
@fa-var-thermometer: "\f2c7";
@fa-var-thermometer-0: "\f2cb";
@fa-var-thermometer-1: "\f2ca";
@fa-var-thermometer-2: "\f2c9";
@fa-var-thermometer-3: "\f2c8";
@fa-var-thermometer-4: "\f2c7";
@fa-var-thermometer-empty: "\f2cb";
@fa-var-thermometer-full: "\f2c7";
@fa-var-thermometer-half: "\f2c9";
@fa-var-thermometer-quarter: "\f2ca";
@fa-var-thermometer-three-quarters: "\f2c8";
@fa-var-thumb-tack: "\f08d";
@fa-var-thumbs-down: "\f165";
@fa-var-thumbs-o-down: "\f088";
@fa-var-thumbs-o-up: "\f087";
@fa-var-thumbs-up: "\f164";
@fa-var-ticket: "\f145";
@fa-var-times: "\f00d";
@fa-var-times-circle: "\f057";
@fa-var-times-circle-o: "\f05c";
@fa-var-times-rectangle: "\f2d3";
@fa-var-times-rectangle-o: "\f2d4";
@fa-var-tint: "\f043";
@fa-var-toggle-down: "\f150";
@fa-var-toggle-left: "\f191";
@fa-var-toggle-off: "\f204";
@fa-var-toggle-on: "\f205";
@fa-var-toggle-right: "\f152";
@fa-var-toggle-up: "\f151";
@fa-var-trademark: "\f25c";
@fa-var-train: "\f238";
@fa-var-transgender: "\f224";
@fa-var-transgender-alt: "\f225";
@fa-var-trash: "\f1f8";
@fa-var-trash-o: "\f014";
@fa-var-tree: "\f1bb";
@fa-var-trello: "\f181";
@fa-var-tripadvisor: "\f262";
@fa-var-trophy: "\f091";
@fa-var-truck: "\f0d1";
@fa-var-try: "\f195";
@fa-var-tty: "\f1e4";
@fa-var-tumblr: "\f173";
@fa-var-tumblr-square: "\f174";
@fa-var-turkish-lira: "\f195";
@fa-var-tv: "\f26c";
@fa-var-twitch: "\f1e8";
@fa-var-twitter: "\f099";
@fa-var-twitter-square: "\f081";
@fa-var-umbrella: "\f0e9";
@fa-var-underline: "\f0cd";
@fa-var-undo: "\f0e2";
@fa-var-universal-access: "\f29a";
@fa-var-university: "\f19c";
@fa-var-unlink: "\f127";
@fa-var-unlock: "\f09c";
@fa-var-unlock-alt: "\f13e";
@fa-var-unsorted: "\f0dc";
@fa-var-upload: "\f093";
@fa-var-usb: "\f287";
@fa-var-usd: "\f155";
@fa-var-user: "\f007";
@fa-var-user-circle: "\f2bd";
@fa-var-user-circle-o: "\f2be";
@fa-var-user-md: "\f0f0";
@fa-var-user-o: "\f2c0";
@fa-var-user-plus: "\f234";
@fa-var-user-secret: "\f21b";
@fa-var-user-times: "\f235";
@fa-var-users: "\f0c0";
@fa-var-vcard: "\f2bb";
@fa-var-vcard-o: "\f2bc";
@fa-var-venus: "\f221";
@fa-var-venus-double: "\f226";
@fa-var-venus-mars: "\f228";
@fa-var-viacoin: "\f237";
@fa-var-viadeo: "\f2a9";
@fa-var-viadeo-square: "\f2aa";
@fa-var-video-camera: "\f03d";
@fa-var-vimeo: "\f27d";
@fa-var-vimeo-square: "\f194";
@fa-var-vine: "\f1ca";
@fa-var-vk: "\f189";
@fa-var-volume-control-phone: "\f2a0";
@fa-var-volume-down: "\f027";
@fa-var-volume-off: "\f026";
@fa-var-volume-up: "\f028";
@fa-var-warning: "\f071";
@fa-var-wechat: "\f1d7";
@fa-var-weibo: "\f18a";
@fa-var-weixin: "\f1d7";
@fa-var-whatsapp: "\f232";
@fa-var-wheelchair: "\f193";
@fa-var-wheelchair-alt: "\f29b";
@fa-var-wifi: "\f1eb";
@fa-var-wikipedia-w: "\f266";
@fa-var-window-close: "\f2d3";
@fa-var-window-close-o: "\f2d4";
@fa-var-window-maximize: "\f2d0";
@fa-var-window-minimize: "\f2d1";
@fa-var-window-restore: "\f2d2";
@fa-var-windows: "\f17a";
@fa-var-won: "\f159";
@fa-var-wordpress: "\f19a";
@fa-var-wpbeginner: "\f297";
@fa-var-wpexplorer: "\f2de";
@fa-var-wpforms: "\f298";
@fa-var-wrench: "\f0ad";
@fa-var-xing: "\f168";
@fa-var-xing-square: "\f169";
@fa-var-y-combinator: "\f23b";
@fa-var-y-combinator-square: "\f1d4";
@fa-var-yahoo: "\f19e";
@fa-var-yc: "\f23b";
@fa-var-yc-square: "\f1d4";
@fa-var-yelp: "\f1e9";
@fa-var-yen: "\f157";
@fa-var-yoast: "\f2b1";
@fa-var-youtube: "\f167";
@fa-var-youtube-play: "\f16a";
@fa-var-youtube-square: "\f166";



================================================
FILE: docs/assets/font awesome/scss/_animated.scss
================================================
// Spinning Icons
// --------------------------

.#{$fa-css-prefix}-spin {
  -webkit-animation: fa-spin 2s infinite linear;
          animation: fa-spin 2s infinite linear;
}

.#{$fa-css-prefix}-pulse {
  -webkit-animation: fa-spin 1s infinite steps(8);
          animation: fa-spin 1s infinite steps(8);
}

@-webkit-keyframes fa-spin {
  0% {
    -webkit-transform: rotate(0deg);
            transform: rotate(0deg);
  }
  100% {
    -webkit-transform: rotate(359deg);
            transform: rotate(359deg);
  }
}

@keyframes fa-spin {
  0% {
    -webkit-transform: rotate(0deg);
            transform: rotate(0deg);
  }
  100% {
    -webkit-transform: rotate(359deg);
            transform: rotate(359deg);
  }
}


================================================
FILE: docs/assets/font awesome/scss/_bordered-pulled.scss
================================================
// Bordered & Pulled
// -------------------------

.#{$fa-css-prefix}-border {
  padding: .2em .25em .15em;
  border: solid .08em $fa-border-color;
  border-radius: .1em;
}

.#{$fa-css-prefix}-pull-left { float: left; }
.#{$fa-css-prefix}-pull-right { float: right; }

.#{$fa-css-prefix} {
  &.#{$fa-css-prefix}-pull-left { margin-right: .3em; }
  &.#{$fa-css-prefix}-pull-right { margin-left: .3em; }
}

/* Deprecated as of 4.4.0 */
.pull-right { float: right; }
.pull-left { float: left; }

.#{$fa-css-prefix} {
  &.pull-left { margin-right: .3em; }
  &.pull-right { margin-left: .3em; }
}


================================================
FILE: docs/assets/font awesome/scss/_core.scss
================================================
// Base Class Definition
// -------------------------

.#{$fa-css-prefix} {
  display: inline-block;
  font: normal normal normal #{$fa-font-size-base}/#{$fa-line-height-base} FontAwesome; // shortening font declaration
  font-size: inherit; // can't have font-size inherit on line above, so need to override
  text-rendering: auto; // optimizelegibility throws things off #1094
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;

}


================================================
FILE: docs/assets/font awesome/scss/_fixed-width.scss
================================================
// Fixed Width Icons
// -------------------------
.#{$fa-css-prefix}-fw {
  width: (18em / 14);
  text-align: center;
}


================================================
FILE: docs/assets/font awesome/scss/_icons.scss
================================================
/* Font Awesome uses the Unicode Private Use Area (PUA) to ensure screen
   readers do not read off random characters that represent icons */

.#{$fa-css-prefix}-glass:before { content: $fa-var-glass; }
.#{$fa-css-prefix}-music:before { content: $fa-var-music; }
.#{$fa-css-prefix}-search:before { content: $fa-var-search; }
.#{$fa-css-prefix}-envelope-o:before { content: $fa-var-envelope-o; }
.#{$fa-css-prefix}-heart:before { content: $fa-var-heart; }
.#{$fa-css-prefix}-star:before { content: $fa-var-star; }
.#{$fa-css-prefix}-star-o:before { content: $fa-var-star-o; }
.#{$fa-css-prefix}-user:before { content: $fa-var-user; }
.#{$fa-css-prefix}-film:before { content: $fa-var-film; }
.#{$fa-css-prefix}-th-large:before { content: $fa-var-th-large; }
.#{$fa-css-prefix}-th:before { content: $fa-var-th; }
.#{$fa-css-prefix}-th-list:before { content: $fa-var-th-list; }
.#{$fa-css-prefix}-check:before { content: $fa-var-check; }
.#{$fa-css-prefix}-remove:before,
.#{$fa-css-prefix}-close:before,
.#{$fa-css-prefix}-times:before { content: $fa-var-times; }
.#{$fa-css-prefix}-search-plus:before { content: $fa-var-search-plus; }
.#{$fa-css-prefix}-search-minus:before { content: $fa-var-search-minus; }
.#{$fa-css-prefix}-power-off:before { content: $fa-var-power-off; }
.#{$fa-css-prefix}-signal:before { content: $fa-var-signal; }
.#{$fa-css-prefix}-gear:before,
.#{$fa-css-prefix}-cog:before { content: $fa-var-cog; }
.#{$fa-css-prefix}-trash-o:before { content: $fa-var-trash-o; }
.#{$fa-css-prefix}-home:before { content: $fa-var-home; }
.#{$fa-css-prefix}-file-o:before { content: $fa-var-file-o; }
.#{$fa-css-prefix}-clock-o:before { content: $fa-var-clock-o; }
.#{$fa-css-prefix}-road:before { content: $fa-var-road; }
.#{$fa-css-prefix}-download:before { content: $fa-var-download; }
.#{$fa-css-prefix}-arrow-circle-o-down:before { content: $fa-var-arrow-circle-o-down; }
.#{$fa-css-prefix}-arrow-circle-o-up:before { content: $fa-var-arrow-circle-o-up; }
.#{$fa-css-prefix}-inbox:before { content: $fa-var-inbox; }
.#{$fa-css-prefix}-play-circle-o:before { content: $fa-var-play-circle-o; }
.#{$fa-css-prefix}-rotate-right:before,
.#{$fa-css-prefix}-repeat:before { content: $fa-var-repeat; }
.#{$fa-css-prefix}-refresh:before { content: $fa-var-refresh; }
.#{$fa-css-prefix}-list-alt:before { content: $fa-var-list-alt; }
.#{$fa-css-prefix}-lock:before { content: $fa-var-lock; }
.#{$fa-css-prefix}-flag:before { content: $fa-var-flag; }
.#{$fa-css-prefix}-headphones:before { content: $fa-var-headphones; }
.#{$fa-css-prefix}-volume-off:before { content: $fa-var-volume-off; }
.#{$fa-css-prefix}-volume-down:before { content: $fa-var-volume-down; }
.#{$fa-css-prefix}-volume-up:before { content: $fa-var-volume-up; }
.#{$fa-css-prefix}-qrcode:before { content: $fa-var-qrcode; }
.#{$fa-css-prefix}-barcode:before { content: $fa-var-barcode; }
.#{$fa-css-prefix}-tag:before { content: $fa-var-tag; }
.#{$fa-css-prefix}-tags:before { content: $fa-var-tags; }
.#{$fa-css-prefix}-book:before { content: $fa-var-book; }
.#{$fa-css-prefix}-bookmark:before { content: $fa-var-bookmark; }
.#{$fa-css-prefix}-print:before { content: $fa-var-print; }
.#{$fa-css-prefix}-camera:before { content: $fa-var-camera; }
.#{$fa-css-prefix}-font:before { content: $fa-var-font; }
.#{$fa-css-prefix}-bold:before { content: $fa-var-bold; }
.#{$fa-css-prefix}-italic:before { content: $fa-var-italic; }
.#{$fa-css-prefix}-text-height:before { content: $fa-var-text-height; }
.#{$fa-css-prefix}-text-width:before { content: $fa-var-text-width; }
.#{$fa-css-prefix}-align-left:before { content: $fa-var-align-left; }
.#{$fa-css-prefix}-align-center:before { content: $fa-var-align-center; }
.#{$fa-css-prefix}-align-right:before { content: $fa-var-align-right; }
.#{$fa-css-prefix}-align-justify:before { content: $fa-var-align-justify; }
.#{$fa-css-prefix}-list:before { content: $fa-var-list; }
.#{$fa-css-prefix}-dedent:before,
.#{$fa-css-prefix}-outdent:before { content: $fa-var-outdent; }
.#{$fa-css-prefix}-indent:before { content: $fa-var-indent; }
.#{$fa-css-prefix}-video-camera:before { content: $fa-var-video-camera; }
.#{$fa-css-prefix}-photo:before,
.#{$fa-css-prefix}-image:before,
.#{$fa-css-prefix}-picture-o:before { content: $fa-var-picture-o; }
.#{$fa-css-prefix}-pencil:before { content: $fa-var-pencil; }
.#{$fa-css-prefix}-map-marker:before { content: $fa-var-map-marker; }
.#{$fa-css-prefix}-adjust:before { content: $fa-var-adjust; }
.#{$fa-css-prefix}-tint:before { content: $fa-var-tint; }
.#{$fa-css-prefix}-edit:before,
.#{$fa-css-prefix}-pencil-square-o:before { content: $fa-var-pencil-square-o; }
.#{$fa-css-prefix}-share-square-o:before { content: $fa-var-share-square-o; }
.#{$fa-css-prefix}-check-square-o:before { content: $fa-var-check-square-o; }
.#{$fa-css-prefix}-arrows:before { content: $fa-var-arrows; }
.#{$fa-css-prefix}-step-backward:before { content: $fa-var-step-backward; }
.#{$fa-css-prefix}-fast-backward:before { content: $fa-var-fast-backward; }
.#{$fa-css-prefix}-backward:before { content: $fa-var-backward; }
.#{$fa-css-prefix}-play:before { content: $fa-var-play; }
.#{$fa-css-prefix}-pause:before { content: $fa-var-pause; }
.#{$fa-css-prefix}-stop:before { content: $fa-var-stop; }
.#{$fa-css-prefix}-forward:before { content: $fa-var-forward; }
.#{$fa-css-prefix}-fast-forward:before { content: $fa-var-fast-forward; }
.#{$fa-css-prefix}-step-forward:before { content: $fa-var-step-forward; }
.#{$fa-css-prefix}-eject:before { content: $fa-var-eject; }
.#{$fa-css-prefix}-chevron-left:before { content: $fa-var-chevron-left; }
.#{$fa-css-prefix}-chevron-right:before { content: $fa-var-chevron-right; }
.#{$fa-css-prefix}-plus-circle:before { content: $fa-var-plus-circle; }
.#{$fa-css-prefix}-minus-circle:before { content: $fa-var-minus-circle; }
.#{$fa-css-prefix}-times-circle:before { content: $fa-var-times-circle; }
.#{$fa-css-prefix}-check-circle:before { content: $fa-var-check-circle; }
.#{$fa-css-prefix}-question-circle:before { content: $fa-var-question-circle; }
.#{$fa-css-prefix}-info-circle:before { content: $fa-var-info-circle; }
.#{$fa-css-prefix}-crosshairs:before { content: $fa-var-crosshairs; }
.#{$fa-css-prefix}-times-circle-o:before { content: $fa-var-times-circle-o; }
.#{$fa-css-prefix}-check-circle-o:before { content: $fa-var-check-circle-o; }
.#{$fa-css-prefix}-ban:before { content: $fa-var-ban; }
.#{$fa-css-prefix}-arrow-left:before { content: $fa-var-arrow-left; }
.#{$fa-css-prefix}-arrow-right:before { content: $fa-var-arrow-right; }
.#{$fa-css-prefix}-arrow-up:before { content: $fa-var-arrow-up; }
.#{$fa-css-prefix}-arrow-down:before { content: $fa-var-arrow-down; }
.#{$fa-css-prefix}-mail-forward:before,
.#{$fa-css-prefix}-share:before { content: $fa-var-share; }
.#{$fa-css-prefix}-expand:before { content: $fa-var-expand; }
.#{$fa-css-prefix}-compress:before { content: $fa-var-compress; }
.#{$fa-css-prefix}-plus:before { content: $fa-var-plus; }
.#{$fa-css-prefix}-minus:before { content: $fa-var-minus; }
.#{$fa-css-prefix}-asterisk:before { content: $fa-var-asterisk; }
.#{$fa-css-prefix}-exclamation-circle:before { content: $fa-var-exclamation-circle; }
.#{$fa-css-prefix}-gift:before { content: $fa-var-gift; }
.#{$fa-css-prefix}-leaf:before { content: $fa-var-leaf; }
.#{$fa-css-prefix}-fire:before { content: $fa-var-fire; }
.#{$fa-css-prefix}-eye:before { content: $fa-var-eye; }
.#{$fa-css-prefix}-eye-slash:before { content: $fa-var-eye-slash; }
.#{$fa-css-prefix}-warning:before,
.#{$fa-css-prefix}-exclamation-triangle:before { content: $fa-var-exclamation-triangle; }
.#{$fa-css-prefix}-plane:before { content: $fa-var-plane; }
.#{$fa-css-prefix}-calendar:before { content: $fa-var-calendar; }
.#{$fa-css-prefix}-random:before { content: $fa-var-random; }
.#{$fa-css-prefix}-comment:before { content: $fa-var-comment; }
.#{$fa-css-prefix}-magnet:before { content: $fa-var-magnet; }
.#{$fa-css-prefix}-chevron-up:before { content: $fa-var-chevron-up; }
.#{$fa-css-prefix}-chevron-down:before { content: $fa-var-chevron-down; }
.#{$fa-css-prefix}-retweet:before { content: $fa-var-retweet; }
.#{$fa-css-prefix}-shopping-cart:before { content: $fa-var-shopping-cart; }
.#{$fa-css-prefix}-folder:before { content: $fa-var-folder; }
.#{$fa-css-prefix}-folder-open:before { content: $fa-var-folder-open; }
.#{$fa-css-prefix}-arrows-v:before { content: $fa-var-arrows-v; }
.#{$fa-css-prefix}-arrows-h:before { content: $fa-var-arrows-h; }
.#{$fa-css-prefix}-bar-chart-o:before,
.#{$fa-css-prefix}-bar-chart:before { content: $fa-var-bar-chart; }
.#{$fa-css-prefix}-twitter-square:before { content: $fa-var-twitter-square; }
.#{$fa-css-prefix}-facebook-square:before { content: $fa-var-facebook-square; }
.#{$fa-css-prefix}-camera-retro:before { content: $fa-var-camera-retro; }
.#{$fa-css-prefix}-key:before { content: $fa-var-key; }
.#{$fa-css-prefix}-gears:before,
.#{$fa-css-prefix}-cogs:before { content: $fa-var-cogs; }
.#{$fa-css-prefix}-comments:before { content: $fa-var-comments; }
.#{$fa-css-prefix}-thumbs-o-up:before { content: $fa-var-thumbs-o-up; }
.#{$fa-css-prefix}-thumbs-o-down:before { content: $fa-var-thumbs-o-down; }
.#{$fa-css-prefix}-star-half:before { content: $fa-var-star-half; }
.#{$fa-css-prefix}-heart-o:before { content: $fa-var-heart-o; }
.#{$fa-css-prefix}-sign-out:before { content: $fa-var-sign-out; }
.#{$fa-css-prefix}-linkedin-square:before { content: $fa-var-linkedin-square; }
.#{$fa-css-prefix}-thumb-tack:before { content: $fa-var-thumb-tack; }
.#{$fa-css-prefix}-external-link:before { content: $fa-var-external-link; }
.#{$fa-css-prefix}-sign-in:before { content: $fa-var-sign-in; }
.#{$fa-css-prefix}-trophy:before { content: $fa-var-trophy; }
.#{$fa-css-prefix}-github-square:before { content: $fa-var-github-square; }
.#{$fa-css-prefix}-upload:before { content: $fa-var-upload; }
.#{$fa-css-prefix}-lemon-o:before { content: $fa-var-lemon-o; }
.#{$fa-css-prefix}-phone:before { content: $fa-var-phone; }
.#{$fa-css-prefix}-square-o:before { content: $fa-var-square-o; }
.#{$fa-css-prefix}-bookmark-o:before { content: $fa-var-bookmark-o; }
.#{$fa-css-prefix}-phone-square:before { content: $fa-var-phone-square; }
.#{$fa-css-prefix}-twitter:before { content: $fa-var-twitter; }
.#{$fa-css-prefix}-facebook-f:before,
.#{$fa-css-prefix}-facebook:before { content: $fa-var-facebook; }
.#{$fa-css-prefix}-github:before { content: $fa-var-github; }
.#{$fa-css-prefix}-unlock:before { content: $fa-var-unlock; }
.#{$fa-css-prefix}-credit-card:before { content: $fa-var-credit-card; }
.#{$fa-css-prefix}-feed:before,
.#{$fa-css-prefix}-rss:before { content: $fa-var-rss; }
.#{$fa-css-prefix}-hdd-o:before { content: $fa-var-hdd-o; }
.#{$fa-css-prefix}-bullhorn:before { content: $fa-var-bullhorn; }
.#{$fa-css-prefix}-bell:before { content: $fa-var-bell; }
.#{$fa-css-prefix}-certificate:before { content: $fa-var-certificate; }
.#{$fa-css-prefix}-hand-o-right:before { content: $fa-var-hand-o-right; }
.#{$fa-css-prefix}-hand-o-left:before { content: $fa-var-hand-o-left; }
.#{$fa-css-prefix}-hand-o-up:before { content: $fa-var-hand-o-up; }
.#{$fa-css-prefix}-hand-o-down:before { content: $fa-var-hand-o-down; }
.#{$fa-css-prefix}-arrow-circle-left:before { content: $fa-var-arrow-circle-left; }
.#{$fa-css-prefix}-arrow-circle-right:before { content: $fa-var-arrow-circle-right; }
.#{$fa-css-prefix}-arrow-circle-up:before { content: $fa-var-arrow-circle-up; }
.#{$fa-css-prefix}-arrow-circle-down:before { content: $fa-var-arrow-circle-down; }
.#{$fa-css-prefix}-globe:before { content: $fa-var-globe; }
.#{$fa-css-prefix}-wrench:before { content: $fa-var-wrench; }
.#{$fa-css-prefix}-tasks:before { content: $fa-var-tasks; }
.#{$fa-css-prefix}-filter:before { content: $fa-var-filter; }
.#{$fa-css-prefix}-briefcase:before { content: $fa-var-briefcase; }
.#{$fa-css-prefix}-arrows-alt:before { content: $fa-var-arrows-alt; }
.#{$fa-css-prefix}-group:before,
.#{$fa-css-prefix}-users:before { content: $fa-var-users; }
.#{$fa-css-prefix}-chain:before,
.#{$fa-css-prefix}-link:before { content: $fa-var-link; }
.#{$fa-css-prefix}-cloud:before { content: $fa-var-cloud; }
.#{$fa-css-prefix}-flask:before { content: $fa-var-flask; }
.#{$fa-css-prefix}-cut:before,
.#{$fa-css-prefix}-scissors:before { content: $fa-var-scissors; }
.#{$fa-css-prefix}-copy:before,
.#{$fa-css-prefix}-files-o:before { content: $fa-var-files-o; }
.#{$fa-css-prefix}-paperclip:before { content: $fa-var-paperclip; }
.#{$fa-css-prefix}-save:before,
.#{$fa-css-prefix}-floppy-o:before { content: $fa-var-floppy-o; }
.#{$fa-css-prefix}-square:before { content: $fa-var-square; }
.#{$fa-css-prefix}-navicon:before,
.#{$fa-css-prefix}-reorder:before,
.#{$fa-css-prefix}-bars:before { content: $fa-var-bars; }
.#{$fa-css-prefix}-list-ul:before { content: $fa-var-list-ul; }
.#{$fa-css-prefix}-list-ol:before { content: $fa-var-list-ol; }
.#{$fa-css-prefix}-strikethrough:before { content: $fa-var-strikethrough; }
.#{$fa-css-prefix}-underline:before { content: $fa-var-underline; }
.#{$fa-css-prefix}-table:before { content: $fa-var-table; }
.#{$fa-css-prefix}-magic:before { content: $fa-var-magic; }
.#{$fa-css-prefix}-truck:before { content: $fa-var-truck; }
.#{$fa-css-prefix}-pinterest:before { content: $fa-var-pinterest; }
.#{$fa-css-prefix}-pinterest-square:before { content: $fa-var-pinterest-square; }
.#{$fa-css-prefix}-google-plus-square:before { content: $fa-var-google-plus-square; }
.#{$fa-css-prefix}-google-plus:before { content: $fa-var-google-plus; }
.#{$fa-css-prefix}-money:before { content: $fa-var-money; }
.#{$fa-css-prefix}-caret-down:before { content: $fa-var-caret-down; }
.#{$fa-css-prefix}-caret-up:before { content: $fa-var-caret-up; }
.#{$fa-css-prefix}-caret-left:before { content: $fa-var-caret-left; }
.#{$fa-css-prefix}-caret-right:before { content: $fa-var-caret-right; }
.#{$fa-css-prefix}-columns:before { content: $fa-var-columns; }
.#{$fa-css-prefix}-unsorted:before,
.#{$fa-css-prefix}-sort:before { content: $fa-var-sort; }
.#{$fa-css-prefix}-sort-down:before,
.#{$fa-css-prefix}-sort-desc:before { content: $fa-var-sort-desc; }
.#{$fa-css-prefix}-sort-up:before,
.#{$fa-css-prefix}-sort-asc:before { content: $fa-var-sort-asc; }
.#{$fa-css-prefix}-envelope:before { content: $fa-var-envelope; }
.#{$fa-css-prefix}-linkedin:before { content: $fa-var-linkedin; }
.#{$fa-css-prefix}-rotate-left:before,
.#{$fa-css-prefix}-undo:before { content: $fa-var-undo; }
.#{$fa-css-prefix}-legal:before,
.#{$fa-css-prefix}-gavel:before { content: $fa-var-gavel; }
.#{$fa-css-prefix}-dashboard:before,
.#{$fa-css-prefix}-tachometer:before { content: $fa-var-tachometer; }
.#{$fa-css-prefix}-comment-o:before { content: $fa-var-comment-o; }
.#{$fa-css-prefix}-comments-o:before { content: $fa-var-comments-o; }
.#{$fa-css-prefix}-flash:before,
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.#{$fa-css-prefix}-line-chart:before { content: $fa-var-line-chart; }
.#{$fa-css-prefix}-lastfm:before { content: $fa-var-lastfm; }
.#{$fa-css-prefix}-lastfm-square:before { content: $fa-var-lastfm-square; }
.#{$fa-css-prefix}-toggle-off:before { content: $fa-var-toggle-off; }
.#{$fa-css-prefix}-toggle-on:before { content: $fa-var-toggle-on; }
.#{$fa-css-prefix}-bicycle:before { content: $fa-var-bicycle; }
.#{$fa-css-prefix}-bus:before { content: $fa-var-bus; }
.#{$fa-css-prefix}-ioxhost:before { content: $fa-var-ioxhost; }
.#{$fa-css-prefix}-angellist:before { content: $fa-var-angellist; }
.#{$fa-css-prefix}-cc:before { content: $fa-var-cc; }
.#{$fa-css-prefix}-shekel:before,
.#{$fa-css-prefix}-sheqel:before,
.#{$fa-css-prefix}-ils:before { content: $fa-var-ils; }
.#{$fa-css-prefix}-meanpath:before { content: $fa-var-meanpath; }
.#{$fa-css-prefix}-buysellads:before { content: $fa-var-buysellads; }
.#{$fa-css-prefix}-connectdevelop:before { content: $fa-var-connectdevelop; }
.#{$fa-css-prefix}-dashcube:before { content: $fa-var-dashcube; }
.#{$fa-css-prefix}-forumbee:before { content: $fa-var-forumbee; }
.#{$fa-css-prefix}-leanpub:before { content: $fa-var-leanpub; }
.#{$fa-css-prefix}-sellsy:before { content: $fa-var-sellsy; }
.#{$fa-css-prefix}-shirtsinbulk:before { content: $fa-var-shirtsinbulk; }
.#{$fa-css-prefix}-simplybuilt:before { content: $fa-var-simplybuilt; }
.#{$fa-css-prefix}-skyatlas:before { content: $fa-var-skyatlas; }
.#{$fa-css-prefix}-cart-plus:before { content: $fa-var-cart-plus; }
.#{$fa-css-prefix}-cart-arrow-down:before { content: $fa-var-cart-arrow-down; }
.#{$fa-css-prefix}-diamond:before { content: $fa-var-diamond; }
.#{$fa-css-prefix}-ship:before { content: $fa-var-ship; }
.#{$fa-css-prefix}-user-secret:before { content: $fa-var-user-secret; }
.#{$fa-css-prefix}-motorcycle:before { content: $fa-var-motorcycle; }
.#{$fa-css-prefix}-street-view:before { content: $fa-var-street-view; }
.#{$fa-css-prefix}-heartbeat:before { content: $fa-var-heartbeat; }
.#{$fa-css-prefix}-venus:before { content: $fa-var-venus; }
.#{$fa-css-prefix}-mars:before { content: $fa-var-mars; }
.#{$fa-css-prefix}-mercury:before { content: $fa-var-mercury; }
.#{$fa-css-prefix}-intersex:before,
.#{$fa-css-prefix}-transgender:before { content: $fa-var-transgender; }
.#{$fa-css-prefix}-transgender-alt:before { content: $fa-var-transgender-alt; }
.#{$fa-css-prefix}-venus-double:before { content: $fa-var-venus-double; }
.#{$fa-css-prefix}-mars-double:before { content: $fa-var-mars-double; }
.#{$fa-css-prefix}-venus-mars:before { content: $fa-var-venus-mars; }
.#{$fa-css-prefix}-mars-stroke:before { content: $fa-var-mars-stroke; }
.#{$fa-css-prefix}-mars-stroke-v:before { content: $fa-var-mars-stroke-v; }
.#{$fa-css-prefix}-mars-stroke-h:before { content: $fa-var-mars-stroke-h; }
.#{$fa-css-prefix}-neuter:before { content: $fa-var-neuter; }
.#{$fa-css-prefix}-genderless:before { content: $fa-var-genderless; }
.#{$fa-css-prefix}-facebook-official:before { content: $fa-var-facebook-official; }
.#{$fa-css-prefix}-pinterest-p:before { content: $fa-var-pinterest-p; }
.#{$fa-css-prefix}-whatsapp:before { content: $fa-var-whatsapp; }
.#{$fa-css-prefix}-server:before { content: $fa-var-server; }
.#{$fa-css-prefix}-user-plus:before { content: $fa-var-user-plus; }
.#{$fa-css-prefix}-user-times:before { content: $fa-var-user-times; }
.#{$fa-css-prefix}-hotel:before,
.#{$fa-css-prefix}-bed:before { content: $fa-var-bed; }
.#{$fa-css-prefix}-viacoin:before { content: $fa-var-viacoin; }
.#{$fa-css-prefix}-train:before { content: $fa-var-train; }
.#{$fa-css-prefix}-subway:before { content: $fa-var-subway; }
.#{$fa-css-prefix}-medium:before { content: $fa-var-medium; }
.#{$fa-css-prefix}-yc:before,
.#{$fa-css-prefix}-y-combinator:before { content: $fa-var-y-combinator; }
.#{$fa-css-prefix}-optin-monster:before { content: $fa-var-optin-monster; }
.#{$fa-css-prefix}-opencart:before { content: $fa-var-opencart; }
.#{$fa-css-prefix}-expeditedssl:before { content: $fa-var-expeditedssl; }
.#{$fa-css-prefix}-battery-4:before,
.#{$fa-css-prefix}-battery:before,
.#{$fa-css-prefix}-battery-full:before { content: $fa-var-battery-full; }
.#{$fa-css-prefix}-battery-3:before,
.#{$fa-css-prefix}-battery-three-quarters:before { content: $fa-var-battery-three-quarters; }
.#{$fa-css-prefix}-battery-2:before,
.#{$fa-css-prefix}-battery-half:before { content: $fa-var-battery-half; }
.#{$fa-css-prefix}-battery-1:before,
.#{$fa-css-prefix}-battery-quarter:before { content: $fa-var-battery-quarter; }
.#{$fa-css-prefix}-battery-0:before,
.#{$fa-css-prefix}-battery-empty:before { content: $fa-var-battery-empty; }
.#{$fa-css-prefix}-mouse-pointer:before { content: $fa-var-mouse-pointer; }
.#{$fa-css-prefix}-i-cursor:before { content: $fa-var-i-cursor; }
.#{$fa-css-prefix}-object-group:before { content: $fa-var-object-group; }
.#{$fa-css-prefix}-object-ungroup:before { content: $fa-var-object-ungroup; }
.#{$fa-css-prefix}-sticky-note:before { content: $fa-var-sticky-note; }
.#{$fa-css-prefix}-sticky-note-o:before { content: $fa-var-sticky-note-o; }
.#{$fa-css-prefix}-cc-jcb:before { content: $fa-var-cc-jcb; }
.#{$fa-css-prefix}-cc-diners-club:before { content: $fa-var-cc-diners-club; }
.#{$fa-css-prefix}-clone:before { content: $fa-var-clone; }
.#{$fa-css-prefix}-balance-scale:before { content: $fa-var-balance-scale; }
.#{$fa-css-prefix}-hourglass-o:before { content: $fa-var-hourglass-o; }
.#{$fa-css-prefix}-hourglass-1:before,
.#{$fa-css-prefix}-hourglass-start:before { content: $fa-var-hourglass-start; }
.#{$fa-css-prefix}-hourglass-2:before,
.#{$fa-css-prefix}-hourglass-half:before { content: $fa-var-hourglass-half; }
.#{$fa-css-prefix}-hourglass-3:before,
.#{$fa-css-prefix}-hourglass-end:before { content: $fa-var-hourglass-end; }
.#{$fa-css-prefix}-hourglass:before { content: $fa-var-hourglass; }
.#{$fa-css-prefix}-hand-grab-o:before,
.#{$fa-css-prefix}-hand-rock-o:before { content: $fa-var-hand-rock-o; }
.#{$fa-css-prefix}-hand-stop-o:before,
.#{$fa-css-prefix}-hand-paper-o:before { content: $fa-var-hand-paper-o; }
.#{$fa-css-prefix}-hand-scissors-o:before { content: $fa-var-hand-scissors-o; }
.#{$fa-css-prefix}-hand-lizard-o:before { content: $fa-var-hand-lizard-o; }
.#{$fa-css-prefix}-hand-spock-o:before { content: $fa-var-hand-spock-o; }
.#{$fa-css-prefix}-hand-pointer-o:before { content: $fa-var-hand-pointer-o; }
.#{$fa-css-prefix}-hand-peace-o:before { content: $fa-var-hand-peace-o; }
.#{$fa-css-prefix}-trademark:before { content: $fa-var-trademark; }
.#{$fa-css-prefix}-registered:before { content: $fa-var-registered; }
.#{$fa-css-prefix}-creative-commons:before { content: $fa-var-creative-commons; }
.#{$fa-css-prefix}-gg:before { content: $fa-var-gg; }
.#{$fa-css-prefix}-gg-circle:before { content: $fa-var-gg-circle; }
.#{$fa-css-prefix}-tripadvisor:before { content: $fa-var-tripadvisor; }
.#{$fa-css-prefix}-odnoklassniki:before { content: $fa-var-odnoklassniki; }
.#{$fa-css-prefix}-odnoklassniki-square:before { content: $fa-var-odnoklassniki-square; }
.#{$fa-css-prefix}-get-pocket:before { content: $fa-var-get-pocket; }
.#{$fa-css-prefix}-wikipedia-w:before { content: $fa-var-wikipedia-w; }
.#{$fa-css-prefix}-safari:before { content: $fa-var-safari; }
.#{$fa-css-prefix}-chrome:before { content: $fa-var-chrome; }
.#{$fa-css-prefix}-firefox:before { content: $fa-var-firefox; }
.#{$fa-css-prefix}-opera:before { content: $fa-var-opera; }
.#{$fa-css-prefix}-internet-explorer:before { content: $fa-var-internet-explorer; }
.#{$fa-css-prefix}-tv:before,
.#{$fa-css-prefix}-television:before { content: $fa-var-television; }
.#{$fa-css-prefix}-contao:before { content: $fa-var-contao; }
.#{$fa-css-prefix}-500px:before { content: $fa-var-500px; }
.#{$fa-css-prefix}-amazon:before { content: $fa-var-amazon; }
.#{$fa-css-prefix}-calendar-plus-o:before { content: $fa-var-calendar-plus-o; }
.#{$fa-css-prefix}-calendar-minus-o:before { content: $fa-var-calendar-minus-o; }
.#{$fa-css-prefix}-calendar-times-o:before { content: $fa-var-calendar-times-o; }
.#{$fa-css-prefix}-calendar-check-o:before { content: $fa-var-calendar-check-o; }
.#{$fa-css-prefix}-industry:before { content: $fa-var-industry; }
.#{$fa-css-prefix}-map-pin:before { content: $fa-var-map-pin; }
.#{$fa-css-prefix}-map-signs:before { content: $fa-var-map-signs; }
.#{$fa-css-prefix}-map-o:before { content: $fa-var-map-o; }
.#{$fa-css-prefix}-map:before { content: $fa-var-map; }
.#{$fa-css-prefix}-commenting:before { content: $fa-var-commenting; }
.#{$fa-css-prefix}-commenting-o:before { content: $fa-var-commenting-o; }
.#{$fa-css-prefix}-houzz:before { content: $fa-var-houzz; }
.#{$fa-css-prefix}-vimeo:before { content: $fa-var-vimeo; }
.#{$fa-css-prefix}-black-tie:before { content: $fa-var-black-tie; }
.#{$fa-css-prefix}-fonticons:before { content: $fa-var-fonticons; }
.#{$fa-css-prefix}-reddit-alien:before { content: $fa-var-reddit-alien; }
.#{$fa-css-prefix}-edge:before { content: $fa-var-edge; }
.#{$fa-css-prefix}-credit-card-alt:before { content: $fa-var-credit-card-alt; }
.#{$fa-css-prefix}-codiepie:before { content: $fa-var-codiepie; }
.#{$fa-css-prefix}-modx:before { content: $fa-var-modx; }
.#{$fa-css-prefix}-fort-awesome:before { content: $fa-var-fort-awesome; }
.#{$fa-css-prefix}-usb:before { content: $fa-var-usb; }
.#{$fa-css-prefix}-product-hunt:before { content: $fa-var-product-hunt; }
.#{$fa-css-prefix}-mixcloud:before { content: $fa-var-mixcloud; }
.#{$fa-css-prefix}-scribd:before { content: $fa-var-scribd; }
.#{$fa-css-prefix}-pause-circle:before { content: $fa-var-pause-circle; }
.#{$fa-css-prefix}-pause-circle-o:before { content: $fa-var-pause-circle-o; }
.#{$fa-css-prefix}-stop-circle:before { content: $fa-var-stop-circle; }
.#{$fa-css-prefix}-stop-circle-o:before { content: $fa-var-stop-circle-o; }
.#{$fa-css-prefix}-shopping-bag:before { content: $fa-var-shopping-bag; }
.#{$fa-css-prefix}-shopping-basket:before { content: $fa-var-shopping-basket; }
.#{$fa-css-prefix}-hashtag:before { content: $fa-var-hashtag; }
.#{$fa-css-prefix}-bluetooth:before { content: $fa-var-bluetooth; }
.#{$fa-css-prefix}-bluetooth-b:before { content: $fa-var-bluetooth-b; }
.#{$fa-css-prefix}-percent:before { content: $fa-var-percent; }
.#{$fa-css-prefix}-gitlab:before { content: $fa-var-gitlab; }
.#{$fa-css-prefix}-wpbeginner:before { content: $fa-var-wpbeginner; }
.#{$fa-css-prefix}-wpforms:before { content: $fa-var-wpforms; }
.#{$fa-css-prefix}-envira:before { content: $fa-var-envira; }
.#{$fa-css-prefix}-universal-access:before { content: $fa-var-universal-access; }
.#{$fa-css-prefix}-wheelchair-alt:before { content: $fa-var-wheelchair-alt; }
.#{$fa-css-prefix}-question-circle-o:before { content: $fa-var-question-circle-o; }
.#{$fa-css-prefix}-blind:before { content: $fa-var-blind; }
.#{$fa-css-prefix}-audio-description:before { content: $fa-var-audio-description; }
.#{$fa-css-prefix}-volume-control-phone:before { content: $fa-var-volume-control-phone; }
.#{$fa-css-prefix}-braille:before { content: $fa-var-braille; }
.#{$fa-css-prefix}-assistive-listening-systems:before { content: $fa-var-assistive-listening-systems; }
.#{$fa-css-prefix}-asl-interpreting:before,
.#{$fa-css-prefix}-american-sign-language-interpreting:before { content: $fa-var-american-sign-language-interpreting; }
.#{$fa-css-prefix}-deafness:before,
.#{$fa-css-prefix}-hard-of-hearing:before,
.#{$fa-css-prefix}-deaf:before { content: $fa-var-deaf; }
.#{$fa-css-prefix}-glide:before { content: $fa-var-glide; }
.#{$fa-css-prefix}-glide-g:before { content: $fa-var-glide-g; }
.#{$fa-css-prefix}-signing:before,
.#{$fa-css-prefix}-sign-language:before { content: $fa-var-sign-language; }
.#{$fa-css-prefix}-low-vision:before { content: $fa-var-low-vision; }
.#{$fa-css-prefix}-viadeo:before { content: $fa-var-viadeo; }
.#{$fa-css-prefix}-viadeo-square:before { content: $fa-var-viadeo-square; }
.#{$fa-css-prefix}-snapchat:before { content: $fa-var-snapchat; }
.#{$fa-css-prefix}-snapchat-ghost:before { content: $fa-var-snapchat-ghost; }
.#{$fa-css-prefix}-snapchat-square:before { content: $fa-var-snapchat-square; }
.#{$fa-css-prefix}-pied-piper:before { content: $fa-var-pied-piper; }
.#{$fa-css-prefix}-first-order:before { content: $fa-var-first-order; }
.#{$fa-css-prefix}-yoast:before { content: $fa-var-yoast; }
.#{$fa-css-prefix}-themeisle:before { content: $fa-var-themeisle; }
.#{$fa-css-prefix}-google-plus-circle:before,
.#{$fa-css-prefix}-google-plus-official:before { content: $fa-var-google-plus-official; }
.#{$fa-css-prefix}-fa:before,
.#{$fa-css-prefix}-font-awesome:before { content: $fa-var-font-awesome; }
.#{$fa-css-prefix}-handshake-o:before { content: $fa-var-handshake-o; }
.#{$fa-css-prefix}-envelope-open:before { content: $fa-var-envelope-open; }
.#{$fa-css-prefix}-envelope-open-o:before { content: $fa-var-envelope-open-o; }
.#{$fa-css-prefix}-linode:before { content: $fa-var-linode; }
.#{$fa-css-prefix}-address-book:before { content: $fa-var-address-book; }
.#{$fa-css-prefix}-address-book-o:before { content: $fa-var-address-book-o; }
.#{$fa-css-prefix}-vcard:before,
.#{$fa-css-prefix}-address-card:before { content: $fa-var-address-card; }
.#{$fa-css-prefix}-vcard-o:before,
.#{$fa-css-prefix}-address-card-o:before { content: $fa-var-address-card-o; }
.#{$fa-css-prefix}-user-circle:before { content: $fa-var-user-circle; }
.#{$fa-css-prefix}-user-circle-o:before { content: $fa-var-user-circle-o; }
.#{$fa-css-prefix}-user-o:before { content: $fa-var-user-o; }
.#{$fa-css-prefix}-id-badge:before { content: $fa-var-id-badge; }
.#{$fa-css-prefix}-drivers-license:before,
.#{$fa-css-prefix}-id-card:before { content: $fa-var-id-card; }
.#{$fa-css-prefix}-drivers-license-o:before,
.#{$fa-css-prefix}-id-card-o:before { content: $fa-var-id-card-o; }
.#{$fa-css-prefix}-quora:before { content: $fa-var-quora; }
.#{$fa-css-prefix}-free-code-camp:before { content: $fa-var-free-code-camp; }
.#{$fa-css-prefix}-telegram:before { content: $fa-var-telegram; }
.#{$fa-css-prefix}-thermometer-4:before,
.#{$fa-css-prefix}-thermometer:before,
.#{$fa-css-prefix}-thermometer-full:before { content: $fa-var-thermometer-full; }
.#{$fa-css-prefix}-thermometer-3:before,
.#{$fa-css-prefix}-thermometer-three-quarters:before { content: $fa-var-thermometer-three-quarters; }
.#{$fa-css-prefix}-thermometer-2:before,
.#{$fa-css-prefix}-thermometer-half:before { content: $fa-var-thermometer-half; }
.#{$fa-css-prefix}-thermometer-1:before,
.#{$fa-css-prefix}-thermometer-quarter:before { content: $fa-var-thermometer-quarter; }
.#{$fa-css-prefix}-thermometer-0:before,
.#{$fa-css-prefix}-thermometer-empty:before { content: $fa-var-thermometer-empty; }
.#{$fa-css-prefix}-shower:before { content: $fa-var-shower; }
.#{$fa-css-prefix}-bathtub:before,
.#{$fa-css-prefix}-s15:before,
.#{$fa-css-prefix}-bath:before { content: $fa-var-bath; }
.#{$fa-css-prefix}-podcast:before { content: $fa-var-podcast; }
.#{$fa-css-prefix}-window-maximize:before { content: $fa-var-window-maximize; }
.#{$fa-css-prefix}-window-minimize:before { content: $fa-var-window-minimize; }
.#{$fa-css-prefix}-window-restore:before { content: $fa-var-window-restore; }
.#{$fa-css-prefix}-times-rectangle:before,
.#{$fa-css-prefix}-window-close:before { content: $fa-var-window-close; }
.#{$fa-css-prefix}-times-rectangle-o:before,
.#{$fa-css-prefix}-window-close-o:before { content: $fa-var-window-close-o; }
.#{$fa-css-prefix}-bandcamp:before { content: $fa-var-bandcamp; }
.#{$fa-css-prefix}-grav:before { content: $fa-var-grav; }
.#{$fa-css-prefix}-etsy:before { content: $fa-var-etsy; }
.#{$fa-css-prefix}-imdb:before { content: $fa-var-imdb; }
.#{$fa-css-prefix}-ravelry:before { content: $fa-var-ravelry; }
.#{$fa-css-prefix}-eercast:before { content: $fa-var-eercast; }
.#{$fa-css-prefix}-microchip:before { content: $fa-var-microchip; }
.#{$fa-css-prefix}-snowflake-o:before { content: $fa-var-snowflake-o; }
.#{$fa-css-prefix}-superpowers:before { content: $fa-var-superpowers; }
.#{$fa-css-prefix}-wpexplorer:before { content: $fa-var-wpexplorer; }
.#{$fa-css-prefix}-meetup:before { content: $fa-var-meetup; }


================================================
FILE: docs/assets/font awesome/scss/_larger.scss
================================================
// Icon Sizes
// -------------------------

/* makes the font 33% larger relative to the icon container */
.#{$fa-css-prefix}-lg {
  font-size: (4em / 3);
  line-height: (3em / 4);
  vertical-align: -15%;
}
.#{$fa-css-prefix}-2x { font-size: 2em; }
.#{$fa-css-prefix}-3x { font-size: 3em; }
.#{$fa-css-prefix}-4x { font-size: 4em; }
.#{$fa-css-prefix}-5x { font-size: 5em; }


================================================
FILE: docs/assets/font awesome/scss/_list.scss
================================================
// List Icons
// -------------------------

.#{$fa-css-prefix}-ul {
  padding-left: 0;
  margin-left: $fa-li-width;
  list-style-type: none;
  > li { position: relative; }
}
.#{$fa-css-prefix}-li {
  position: absolute;
  left: -$fa-li-width;
  width: $fa-li-width;
  top: (2em / 14);
  text-align: center;
  &.#{$fa-css-prefix}-lg {
    left: -$fa-li-width + (4em / 14);
  }
}


================================================
FILE: docs/assets/font awesome/scss/_mixins.scss
================================================
// Mixins
// --------------------------

@mixin fa-icon() {
  display: inline-block;
  font: normal normal normal #{$fa-font-size-base}/#{$fa-line-height-base} FontAwesome; // shortening font declaration
  font-size: inherit; // can't have font-size inherit on line above, so need to override
  text-rendering: auto; // optimizelegibility throws things off #1094
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;

}

@mixin fa-icon-rotate($degrees, $rotation) {
  -ms-filter: "progid:DXImageTransform.Microsoft.BasicImage(rotation=#{$rotation})";
  -webkit-transform: rotate($degrees);
      -ms-transform: rotate($degrees);
          transform: rotate($degrees);
}

@mixin fa-icon-flip($horiz, $vert, $rotation) {
  -ms-filter: "progid:DXImageTransform.Microsoft.BasicImage(rotation=#{$rotation}, mirror=1)";
  -webkit-transform: scale($horiz, $vert);
      -ms-transform: scale($horiz, $vert);
          transform: scale($horiz, $vert);
}


// Only display content to screen readers. A la Bootstrap 4.
//
// See: http://a11yproject.com/posts/how-to-hide-content/

@mixin sr-only {
  position: absolute;
  width: 1px;
  height: 1px;
  padding: 0;
  margin: -1px;
  overflow: hidden;
  clip: rect(0,0,0,0);
  border: 0;
}

// Use in conjunction with .sr-only to only display content when it's focused.
//
// Useful for "Skip to main content" links; see http://www.w3.org/TR/2013/NOTE-WCAG20-TECHS-20130905/G1
//
// Credit: HTML5 Boilerplate

@mixin sr-only-focusable {
  &:active,
  &:focus {
    position: static;
    width: auto;
    height: auto;
    margin: 0;
    overflow: visible;
    clip: auto;
  }
}


================================================
FILE: docs/assets/font awesome/scss/_path.scss
================================================
/* FONT PATH
 * -------------------------- */

@font-face {
  font-family: 'FontAwesome';
  src: url('#{$fa-font-path}/fontawesome-webfont.eot?v=#{$fa-version}');
  src: url('#{$fa-font-path}/fontawesome-webfont.eot?#iefix&v=#{$fa-version}') format('embedded-opentype'),
    url('#{$fa-font-path}/fontawesome-webfont.woff2?v=#{$fa-version}') format('woff2'),
    url('#{$fa-font-path}/fontawesome-webfont.woff?v=#{$fa-version}') format('woff'),
    url('#{$fa-font-path}/fontawesome-webfont.ttf?v=#{$fa-version}') format('truetype'),
    url('#{$fa-font-path}/fontawesome-webfont.svg?v=#{$fa-version}#fontawesomeregular') format('svg');
//  src: url('#{$fa-font-path}/FontAwesome.otf') format('opentype'); // used when developing fonts
  font-weight: normal;
  font-style: normal;
}


================================================
FILE: docs/assets/font awesome/scss/_rotated-flipped.scss
================================================
// Rotated & Flipped Icons
// -------------------------

.#{$fa-css-prefix}-rotate-90  { @include fa-icon-rotate(90deg, 1);  }
.#{$fa-css-prefix}-rotate-180 { @include fa-icon-rotate(180deg, 2); }
.#{$fa-css-prefix}-rotate-270 { @include fa-icon-rotate(270deg, 3); }

.#{$fa-css-prefix}-flip-horizontal { @include fa-icon-flip(-1, 1, 0); }
.#{$fa-css-prefix}-flip-vertical   { @include fa-icon-flip(1, -1, 2); }

// Hook for IE8-9
// -------------------------

:root .#{$fa-css-prefix}-rotate-90,
:root .#{$fa-css-prefix}-rotate-180,
:root .#{$fa-css-prefix}-rotate-270,
:root .#{$fa-css-prefix}-flip-horizontal,
:root .#{$fa-css-prefix}-flip-vertical {
  filter: none;
}


================================================
FILE: docs/assets/font awesome/scss/_screen-reader.scss
================================================
// Screen Readers
// -------------------------

.sr-only { @include sr-only(); }
.sr-only-focusable { @include sr-only-focusable(); }


================================================
FILE: docs/assets/font awesome/scss/_stacked.scss
================================================
// Stacked Icons
// -------------------------

.#{$fa-css-prefix}-stack {
  position: relative;
  display: inline-block;
  width: 2em;
  height: 2em;
  line-height: 2em;
  vertical-align: middle;
}
.#{$fa-css-prefix}-stack-1x, .#{$fa-css-prefix}-stack-2x {
  position: absolute;
  left: 0;
  width: 100%;
  text-align: center;
}
.#{$fa-css-prefix}-stack-1x { line-height: inherit; }
.#{$fa-css-prefix}-stack-2x { font-size: 2em; }
.#{$fa-css-prefix}-inverse { color: $fa-inverse; }


================================================
FILE: docs/assets/font awesome/scss/_variables.scss
================================================
// Variables
// --------------------------

$fa-font-path:        "../fonts" !default;
$fa-font-size-base:   14px !default;
$fa-line-height-base: 1 !default;
//$fa-font-path:        "//netdna.bootstrapcdn.com/font-awesome/4.7.0/fonts" !default; // for referencing Bootstrap CDN font files directly
$fa-css-prefix:       fa !default;
$fa-version:          "4.7.0" !default;
$fa-border-color:     #eee !default;
$fa-inverse:          #fff !default;
$fa-li-width:         (30em / 14) !default;

$fa-var-500px: "\f26e";
$fa-var-address-book: "\f2b9";
$fa-var-address-book-o: "\f2ba";
$fa-var-address-card: "\f2bb";
$fa-var-address-card-o: "\f2bc";
$fa-var-adjust: "\f042";
$fa-var-adn: "\f170";
$fa-var-align-center: "\f037";
$fa-var-align-justify: "\f039";
$fa-var-align-left: "\f036";
$fa-var-align-right: "\f038";
$fa-var-amazon: "\f270";
$fa-var-ambulance: "\f0f9";
$fa-var-american-sign-language-interpreting: "\f2a3";
$fa-var-anchor: "\f13d";
$fa-var-android: "\f17b";
$fa-var-angellist: "\f209";
$fa-var-angle-double-down: "\f103";
$fa-var-angle-double-left: "\f100";
$fa-var-angle-double-right: "\f101";
$fa-var-angle-double-up: "\f102";
$fa-var-angle-down: "\f107";
$fa-var-angle-left: "\f104";
$fa-var-angle-right: "\f105";
$fa-var-angle-up: "\f106";
$fa-var-apple: "\f179";
$fa-var-archive: "\f187";
$fa-var-area-chart: "\f1fe";
$fa-var-arrow-circle-down: "\f0ab";
$fa-var-arrow-circle-left: "\f0a8";
$fa-var-arrow-circle-o-down: "\f01a";
$fa-var-arrow-circle-o-left: "\f190";
$fa-var-arrow-circle-o-right: "\f18e";
$fa-var-arrow-circle-o-up: "\f01b";
$fa-var-arrow-circle-right: "\f0a9";
$fa-var-arrow-circle-up: "\f0aa";
$fa-var-arrow-down: "\f063";
$fa-var-arrow-left: "\f060";
$fa-var-arrow-right: "\f061";
$fa-var-arrow-up: "\f062";
$fa-var-arrows: "\f047";
$fa-var-arrows-alt: "\f0b2";
$fa-var-arrows-h: "\f07e";
$fa-var-arrows-v: "\f07d";
$fa-var-asl-interpreting: "\f2a3";
$fa-var-assistive-listening-systems: "\f2a2";
$fa-var-asterisk: "\f069";
$fa-var-at: "\f1fa";
$fa-var-audio-description: "\f29e";
$fa-var-automobile: "\f1b9";
$fa-var-backward: "\f04a";
$fa-var-balance-scale: "\f24e";
$fa-var-ban: "\f05e";
$fa-var-bandcamp: "\f2d5";
$fa-var-bank: "\f19c";
$fa-var-bar-chart: "\f080";
$fa-var-bar-chart-o: "\f080";
$fa-var-barcode: "\f02a";
$fa-var-bars: "\f0c9";
$fa-var-bath: "\f2cd";
$fa-var-bathtub: "\f2cd";
$fa-var-battery: "\f240";
$fa-var-battery-0: "\f244";
$fa-var-battery-1: "\f243";
$fa-var-battery-2: "\f242";
$fa-var-battery-3: "\f241";
$fa-var-battery-4: "\f240";
$fa-var-battery-empty: "\f244";
$fa-var-battery-full: "\f240";
$fa-var-battery-half: "\f242";
$fa-var-battery-quarter: "\f243";
$fa-var-battery-three-quarters: "\f241";
$fa-var-bed: "\f236";
$fa-var-beer: "\f0fc";
$fa-var-behance: "\f1b4";
$fa-var-behance-square: "\f1b5";
$fa-var-bell: "\f0f3";
$fa-var-bell-o: "\f0a2";
$fa-var-bell-slash: "\f1f6";
$fa-var-bell-slash-o: "\f1f7";
$fa-var-bicycle: "\f206";
$fa-var-binoculars: "\f1e5";
$fa-var-birthday-cake: "\f1fd";
$fa-var-bitbucket: "\f171";
$fa-var-bitbucket-square: "\f172";
$fa-var-bitcoin: "\f15a";
$fa-var-black-tie: "\f27e";
$fa-var-blind: "\f29d";
$fa-var-bluetooth: "\f293";
$fa-var-bluetooth-b: "\f294";
$fa-var-bold: "\f032";
$fa-var-bolt: "\f0e7";
$fa-var-bomb: "\f1e2";
$fa-var-book: "\f02d";
$fa-var-bookmark: "\f02e";
$fa-var-bookmark-o: "\f097";
$fa-var-braille: "\f2a1";
$fa-var-briefcase: "\f0b1";
$fa-var-btc: "\f15a";
$fa-var-bug: "\f188";
$fa-var-building: "\f1ad";
$fa-var-building-o: "\f0f7";
$fa-var-bullhorn: "\f0a1";
$fa-var-bullseye: "\f140";
$fa-var-bus: "\f207";
$fa-var-buysellads: "\f20d";
$fa-var-cab: "\f1ba";
$fa-var-calculator: "\f1ec";
$fa-var-calendar: "\f073";
$fa-var-calendar-check-o: "\f274";
$fa-var-calendar-minus-o: "\f272";
$fa-var-calendar-o: "\f133";
$fa-var-calendar-plus-o: "\f271";
$fa-var-calendar-times-o: "\f273";
$fa-var-camera: "\f030";
$fa-var-camera-retro: "\f083";
$fa-var-car: "\f1b9";
$fa-var-caret-down: "\f0d7";
$fa-var-caret-left: "\f0d9";
$fa-var-caret-right: "\f0da";
$fa-var-caret-square-o-down: "\f150";
$fa-var-caret-square-o-left: "\f191";
$fa-var-caret-square-o-right: "\f152";
$fa-var-caret-square-o-up: "\f151";
$fa-var-caret-up: "\f0d8";
$fa-var-cart-arrow-down: "\f218";
$fa-var-cart-plus: "\f217";
$fa-var-cc: "\f20a";
$fa-var-cc-amex: "\f1f3";
$fa-var-cc-diners-club: "\f24c";
$fa-var-cc-discover: "\f1f2";
$fa-var-cc-jcb: "\f24b";
$fa-var-cc-mastercard: "\f1f1";
$fa-var-cc-paypal: "\f1f4";
$fa-var-cc-stripe: "\f1f5";
$fa-var-cc-visa: "\f1f0";
$fa-var-certificate: "\f0a3";
$fa-var-chain: "\f0c1";
$fa-var-chain-broken: "\f127";
$fa-var-check: "\f00c";
$fa-var-check-circle: "\f058";
$fa-var-check-circle-o: "\f05d";
$fa-var-check-square: "\f14a";
$fa-var-check-square-o: "\f046";
$fa-var-chevron-circle-down: "\f13a";
$fa-var-chevron-circle-left: "\f137";
$fa-var-chevron-circle-right: "\f138";
$fa-var-chevron-circle-up: "\f139";
$fa-var-chevron-down: "\f078";
$fa-var-chevron-left: "\f053";
$fa-var-chevron-right: "\f054";
$fa-var-chevron-up: "\f077";
$fa-var-child: "\f1ae";
$fa-var-chrome: "\f268";
$fa-var-circle: "\f111";
$fa-var-circle-o: "\f10c";
$fa-var-circle-o-notch: "\f1ce";
$fa-var-circle-thin: "\f1db";
$fa-var-clipboard: "\f0ea";
$fa-var-clock-o: "\f017";
$fa-var-clone: "\f24d";
$fa-var-close: "\f00d";
$fa-var-cloud: "\f0c2";
$fa-var-cloud-download: "\f0ed";
$fa-var-cloud-upload: "\f0ee";
$fa-var-cny: "\f157";
$fa-var-code: "\f121";
$fa-var-code-fork: "\f126";
$fa-var-codepen: "\f1cb";
$fa-var-codiepie: "\f284";
$fa-var-coffee: "\f0f4";
$fa-var-cog: "\f013";
$fa-var-cogs: "\f085";
$fa-var-columns: "\f0db";
$fa-var-comment: "\f075";
$fa-var-comment-o: "\f0e5";
$fa-var-commenting: "\f27a";
$fa-var-commenting-o: "\f27b";
$fa-var-comments: "\f086";
$fa-var-comments-o: "\f0e6";
$fa-var-compass: "\f14e";
$fa-var-compress: "\f066";
$fa-var-connectdevelop: "\f20e";
$fa-var-contao: "\f26d";
$fa-var-copy: "\f0c5";
$fa-var-copyright: "\f1f9";
$fa-var-creative-commons: "\f25e";
$fa-var-credit-card: "\f09d";
$fa-var-credit-card-alt: "\f283";
$fa-var-crop: "\f125";
$fa-var-crosshairs: "\f05b";
$fa-var-css3: "\f13c";
$fa-var-cube: "\f1b2";
$fa-var-cubes: "\f1b3";
$fa-var-cut: "\f0c4";
$fa-var-cutlery: "\f0f5";
$fa-var-dashboard: "\f0e4";
$fa-var-dashcube: "\f210";
$fa-var-database: "\f1c0";
$fa-var-deaf: "\f2a4";
$fa-var-deafness: "\f2a4";
$fa-var-dedent: "\f03b";
$fa-var-delicious: "\f1a5";
$fa-var-desktop: "\f108";
$fa-var-deviantart: "\f1bd";
$fa-var-diamond: "\f219";
$fa-var-digg: "\f1a6";
$fa-var-dollar: "\f155";
$fa-var-dot-circle-o: "\f192";
$fa-var-download: "\f019";
$fa-var-dribbble: "\f17d";
$fa-var-drivers-license: "\f2c2";
$fa-var-drivers-license-o: "\f2c3";
$fa-var-dropbox: "\f16b";
$fa-var-drupal: "\f1a9";
$fa-var-edge: "\f282";
$fa-var-edit: "\f044";
$fa-var-eercast: "\f2da";
$fa-var-eject: "\f052";
$fa-var-ellipsis-h: "\f141";
$fa-var-ellipsis-v: "\f142";
$fa-var-empire: "\f1d1";
$fa-var-envelope: "\f0e0";
$fa-var-envelope-o: "\f003";
$fa-var-envelope-open: "\f2b6";
$fa-var-envelope-open-o: "\f2b7";
$fa-var-envelope-square: "\f199";
$fa-var-envira: "\f299";
$fa-var-eraser: "\f12d";
$fa-var-etsy: "\f2d7";
$fa-var-eur: "\f153";
$fa-var-euro: "\f153";
$fa-var-exchange: "\f0ec";
$fa-var-exclamation: "\f12a";
$fa-var-exclamation-circle: "\f06a";
$fa-var-exclamation-triangle: "\f071";
$fa-var-expand: "\f065";
$fa-var-expeditedssl: "\f23e";
$fa-var-external-link: "\f08e";
$fa-var-external-link-square: "\f14c";
$fa-var-eye: "\f06e";
$fa-var-eye-slash: "\f070";
$fa-var-eyedropper: "\f1fb";
$fa-var-fa: "\f2b4";
$fa-var-facebook: "\f09a";
$fa-var-facebook-f: "\f09a";
$fa-var-facebook-official: "\f230";
$fa-var-facebook-square: "\f082";
$fa-var-fast-backward: "\f049";
$fa-var-fast-forward: "\f050";
$fa-var-fax: "\f1ac";
$fa-var-feed: "\f09e";
$fa-var-female: "\f182";
$fa-var-fighter-jet: "\f0fb";
$fa-var-file: "\f15b";
$fa-var-file-archive-o: "\f1c6";
$fa-var-file-audio-o: "\f1c7";
$fa-var-file-code-o: "\f1c9";
$fa-var-file-excel-o: "\f1c3";
$fa-var-file-image-o: "\f1c5";
$fa-var-file-movie-o: "\f1c8";
$fa-var-file-o: "\f016";
$fa-var-file-pdf-o: "\f1c1";
$fa-var-file-photo-o: "\f1c5";
$fa-var-file-picture-o: "\f1c5";
$fa-var-file-powerpoint-o: "\f1c4";
$fa-var-file-sound-o: "\f1c7";
$fa-var-file-text: "\f15c";
$fa-var-file-text-o: "\f0f6";
$fa-var-file-video-o: "\f1c8";
$fa-var-file-word-o: "\f1c2";
$fa-var-file-zip-o: "\f1c6";
$fa-var-files-o: "\f0c5";
$fa-var-film: "\f008";
$fa-var-filter: "\f0b0";
$fa-var-fire: "\f06d";
$fa-var-fire-extinguisher: "\f134";
$fa-var-firefox: "\f269";
$fa-var-first-order: "\f2b0";
$fa-var-flag: "\f024";
$fa-var-flag-checkered: "\f11e";
$fa-var-flag-o: "\f11d";
$fa-var-flash: "\f0e7";
$fa-var-flask: "\f0c3";
$fa-var-flickr: "\f16e";
$fa-var-floppy-o: "\f0c7";
$fa-var-folder: "\f07b";
$fa-var-folder-o: "\f114";
$fa-var-folder-open: "\f07c";
$fa-var-folder-open-o: "\f115";
$fa-var-font: "\f031";
$fa-var-font-awesome: "\f2b4";
$fa-var-fonticons: "\f280";
$fa-var-fort-awesome: "\f286";
$fa-var-forumbee: "\f211";
$fa-var-forward: "\f04e";
$fa-var-foursquare: "\f180";
$fa-var-free-code-camp: "\f2c5";
$fa-var-frown-o: "\f119";
$fa-var-futbol-o: "\f1e3";
$fa-var-gamepad: "\f11b";
$fa-var-gavel: "\f0e3";
$fa-var-gbp: "\f154";
$fa-var-ge: "\f1d1";
$fa-var-gear: "\f013";
$fa-var-gears: "\f085";
$fa-var-genderless: "\f22d";
$fa-var-get-pocket: "\f265";
$fa-var-gg: "\f260";
$fa-var-gg-circle: "\f261";
$fa-var-gift: "\f06b";
$fa-var-git: "\f1d3";
$fa-var-git-square: "\f1d2";
$fa-var-github: "\f09b";
$fa-var-github-alt: "\f113";
$fa-var-github-square: "\f092";
$fa-var-gitlab: "\f296";
$fa-var-gittip: "\f184";
$fa-var-glass: "\f000";
$fa-var-glide: "\f2a5";
$fa-var-glide-g: "\f2a6";
$fa-var-globe: "\f0ac";
$fa-var-google: "\f1a0";
$fa-var-google-plus: "\f0d5";
$fa-var-google-plus-circle: "\f2b3";
$fa-var-google-plus-official: "\f2b3";
$fa-var-google-plus-square: "\f0d4";
$fa-var-google-wallet: "\f1ee";
$fa-var-graduation-cap: "\f19d";
$fa-var-gratipay: "\f184";
$fa-var-grav: "\f2d6";
$fa-var-group: "\f0c0";
$fa-var-h-square: "\f0fd";
$fa-var-hacker-news: "\f1d4";
$fa-var-hand-grab-o: "\f255";
$fa-var-hand-lizard-o: "\f258";
$fa-var-hand-o-down: "\f0a7";
$fa-var-hand-o-left: "\f0a5";
$fa-var-hand-o-right: "\f0a4";
$fa-var-hand-o-up: "\f0a6";
$fa-var-hand-paper-o: "\f256";
$fa-var-hand-peace-o: "\f25b";
$fa-var-hand-pointer-o: "\f25a";
$fa-var-hand-rock-o: "\f255";
$fa-var-hand-scissors-o: "\f257";
$fa-var-hand-spock-o: "\f259";
$fa-var-hand-stop-o: "\f256";
$fa-var-handshake-o: "\f2b5";
$fa-var-hard-of-hearing: "\f2a4";
$fa-var-hashtag: "\f292";
$fa-var-hdd-o: "\f0a0";
$fa-var-header: "\f1dc";
$fa-var-headphones: "\f025";
$fa-var-heart: "\f004";
$fa-var-heart-o: "\f08a";
$fa-var-heartbeat: "\f21e";
$fa-var-history: "\f1da";
$fa-var-home: "\f015";
$fa-var-hospital-o: "\f0f8";
$fa-var-hotel: "\f236";
$fa-var-hourglass: "\f254";
$fa-var-hourglass-1: "\f251";
$fa-var-hourglass-2: "\f252";
$fa-var-hourglass-3: "\f253";
$fa-var-hourglass-end: "\f253";
$fa-var-hourglass-half: "\f252";
$fa-var-hourglass-o: "\f250";
$fa-var-hourglass-start: "\f251";
$fa-var-houzz: "\f27c";
$fa-var-html5: "\f13b";
$fa-var-i-cursor: "\f246";
$fa-var-id-badge: "\f2c1";
$fa-var-id-card: "\f2c2";
$fa-var-id-card-o: "\f2c3";
$fa-var-ils: "\f20b";
$fa-var-image: "\f03e";
$fa-var-imdb: "\f2d8";
$fa-var-inbox: "\f01c";
$fa-var-indent: "\f03c";
$fa-var-industry: "\f275";
$fa-var-info: "\f129";
$fa-var-info-circle: "\f05a";
$fa-var-inr: "\f156";
$fa-var-instagram: "\f16d";
$fa-var-institution: "\f19c";
$fa-var-internet-explorer: "\f26b";
$fa-var-intersex: "\f224";
$fa-var-ioxhost: "\f208";
$fa-var-italic: "\f033";
$fa-var-joomla: "\f1aa";
$fa-var-jpy: "\f157";
$fa-var-jsfiddle: "\f1cc";
$fa-var-key: "\f084";
$fa-var-keyboard-o: "\f11c";
$fa-var-krw: "\f159";
$fa-var-language: "\f1ab";
$fa-var-laptop: "\f109";
$fa-var-lastfm: "\f202";
$fa-var-lastfm-square: "\f203";
$fa-var-leaf: "\f06c";
$fa-var-leanpub: "\f212";
$fa-var-legal: "\f0e3";
$fa-var-lemon-o: "\f094";
$fa-var-level-down: "\f149";
$fa-var-level-up: "\f148";
$fa-var-life-bouy: "\f1cd";
$fa-var-life-buoy: "\f1cd";
$fa-var-life-ring: "\f1cd";
$fa-var-life-saver: "\f1cd";
$fa-var-lightbulb-o: "\f0eb";
$fa-var-line-chart: "\f201";
$fa-var-link: "\f0c1";
$fa-var-linkedin: "\f0e1";
$fa-var-linkedin-square: "\f08c";
$fa-var-linode: "\f2b8";
$fa-var-linux: "\f17c";
$fa-var-list: "\f03a";
$fa-var-list-alt: "\f022";
$fa-var-list-ol: "\f0cb";
$fa-var-list-ul: "\f0ca";
$fa-var-location-arrow: "\f124";
$fa-var-lock: "\f023";
$fa-var-long-arrow-down: "\f175";
$fa-var-long-arrow-left: "\f177";
$fa-var-long-arrow-right: "\f178";
$fa-var-long-arrow-up: "\f176";
$fa-var-low-vision: "\f2a8";
$fa-var-magic: "\f0d0";
$fa-var-magnet: "\f076";
$fa-var-mail-forward: "\f064";
$fa-var-mail-reply: "\f112";
$fa-var-mail-reply-all: "\f122";
$fa-var-male: "\f183";
$fa-var-map: "\f279";
$fa-var-map-marker: "\f041";
$fa-var-map-o: "\f278";
$fa-var-map-pin: "\f276";
$fa-var-map-signs: "\f277";
$fa-var-mars: "\f222";
$fa-var-mars-double: "\f227";
$fa-var-mars-stroke: "\f229";
$fa-var-mars-stroke-h: "\f22b";
$fa-var-mars-stroke-v: "\f22a";
$fa-var-maxcdn: "\f136";
$fa-var-meanpath: "\f20c";
$fa-var-medium: "\f23a";
$fa-var-medkit: "\f0fa";
$fa-var-meetup: "\f2e0";
$fa-var-meh-o: "\f11a";
$fa-var-mercury: "\f223";
$fa-var-microchip: "\f2db";
$fa-var-microphone: "\f130";
$fa-var-microphone-slash: "\f131";
$fa-var-minus: "\f068";
$fa-var-minus-circle: "\f056";
$fa-var-minus-square: "\f146";
$fa-var-minus-square-o: "\f147";
$fa-var-mixcloud: "\f289";
$fa-var-mobile: "\f10b";
$fa-var-mobile-phone: "\f10b";
$fa-var-modx: "\f285";
$fa-var-money: "\f0d6";
$fa-var-moon-o: "\f186";
$fa-var-mortar-board: "\f19d";
$fa-var-motorcycle: "\f21c";
$fa-var-mouse-pointer: "\f245";
$fa-var-music: "\f001";
$fa-var-navicon: "\f0c9";
$fa-var-neuter: "\f22c";
$fa-var-newspaper-o: "\f1ea";
$fa-var-object-group: "\f247";
$fa-var-object-ungroup: "\f248";
$fa-var-odnoklassniki: "\f263";
$fa-var-odnoklassniki-square: "\f264";
$fa-var-opencart: "\f23d";
$fa-var-openid: "\f19b";
$fa-var-opera: "\f26a";
$fa-var-optin-monster: "\f23c";
$fa-var-outdent: "\f03b";
$fa-var-pagelines: "\f18c";
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================================================
FILE: docs/assets/font awesome/scss/font-awesome.scss
================================================
/*!
 *  Font Awesome 4.7.0 by @davegandy - http://fontawesome.io - @fontawesome
 *  License - http://fontawesome.io/license (Font: SIL OFL 1.1, CSS: MIT License)
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@import "variables";
@import "mixins";
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@import "core";
@import "larger";
@import "fixed-width";
@import "list";
@import "bordered-pulled";
@import "animated";
@import "rotated-flipped";
@import "stacked";
@import "icons";
@import "screen-reader";


================================================
FILE: docs/assets/js/app.js
================================================
/************************************************************************************************************************
 ************************************************************************************************************************
 ************************************************************************************************************************
 *
 *                                                         app.js
 * @Author : SIMONINI Thomas, 2016 simonini_thomas@outlook.fr
 ************************************************************************************************************************
 ************************************************************************************************************************
 ************************************************************************************************************************/
angular.module('app', ['ngRoute', 'ngAnimate'])

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                .when('/terms-of-use', {
                    templateUrl: 'templates/termsfeed-terms-service-html-english.html'
                })



                .otherwise('/')
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    .run(['$rootScope', function ($rootScope) {
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================================================
FILE: docs/index.html
================================================
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    <meta name="author" content="SIMONINI Thomas">

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    <a class="navbar-brand" href="#">CatDCGAN 🐱‍💻</a>

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              <a class="nav-link" href="#hiw" target="_self">How it works?</a>
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<div class="above-background-video">
    <br>
    <h1> An AI that generates pictures of cats </h1>
    <p> All of these pictures were generated by our AI </p>
    
    
        	<div class="cat-image">
        	<img  src="assets/img/output.png" alt="CatDCGAN training"/>
        	</div>
       
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</div>
<br/>
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</section>


<!-- *********************************************************
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    <h2>Latest pictures</h2>
    
            	<div class="cat-image">
        	<img  src="assets/img/output.png" alt="CatDCGAN training"/>
        	</div>
    </section>-->
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<br>
<h2>How it works?</h2>
<br>

<a href="https://medium.freecodecamp.org/how-ai-can-learn-to-generate-pictures-of-cats-ba692cb6eae4">
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    <p> If you want to contribute to the project, <b>your help is very welcome. </b> This is an open source project. 

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        <b>We currently working on improving our Generative adversarial network architecture.  If you're motivated come join us! </b></p>


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================================================
FILE: helper.py
================================================
# Taken from Udacity Face generator Project
import math
import os
import hashlib
from urllib.request import urlretrieve
import zipfile
import gzip
import shutil

import numpy as np
from PIL import Image



def _read32(bytestream):
    """
    Read 32-bit integer from bytesteam
    :param bytestream: A bytestream
    :return: 32-bit integer
    """
    dt = np.dtype(np.uint32).newbyteorder('>')
    return np.frombuffer(bytestream.read(4), dtype=dt)[0]


def _unzip(save_path, _, database_name, data_path):
    """
    Unzip wrapper with the same interface as _ungzip
    :param save_path: The path of the gzip files
    :param database_name: Name of database
    :param data_path: Path to extract to
    :param _: HACK - Used to have to same interface as _ungzip
    """
    print('Extracting {}...'.format(database_name))
    with zipfile.ZipFile(save_path) as zf:
        zf.extractall(data_path)


def _ungzip(save_path, extract_path, database_name, _):
    """
    Unzip a gzip file and extract it to extract_path
    :param save_path: The path of the gzip files
    :param extract_path: The location to extract the data to
    :param database_name: Name of database
    :param _: HACK - Used to have to same interface as _unzip
    """
    # Get data from save_path
    with open(save_path, 'rb') as f:
        with gzip.GzipFile(fileobj=f) as bytestream:
            magic = _read32(bytestream)
            if magic != 2051:
                raise ValueError('Invalid magic number {} in file: {}'.format(magic, f.name))
            num_images = _read32(bytestream)
            rows = _read32(bytestream)
            cols = _read32(bytestream)
            buf = bytestream.read(rows * cols * num_images)
            data = np.frombuffer(buf, dtype=np.uint8)
            data = data.reshape(num_images, rows, cols)

    # Save data to extract_path
    for image_i, image in enumerate(
            tqdm(data, unit='File', unit_scale=True, miniters=1, desc='Extracting {}'.format(database_name))):
        Image.fromarray(image, 'L').save(os.path.join(extract_path, 'image_{}.jpg'.format(image_i)))


def get_image(image_path, width, height, mode):
    """
    Read image from image_path
    :param image_path: Path of image
    :param width: Width of image
    :param height: Height of image
    :param mode: Mode of image
    :return: Image data
    """
    image = Image.open(image_path)


    return np.array(image.convert(mode))


def get_batch(image_files, width, height, mode):
    data_batch = np.array(
        [get_image(sample_file, width, height, mode) for sample_file in image_files]).astype(np.float32)

    # Make sure the images are in 4 dimensions
    if len(data_batch.shape) < 4:
        data_batch = data_batch.reshape(data_batch.shape + (1,))

    return data_batch


def images_square_grid(images, mode):
    """
    Save images as a square grid
    :param images: Images to be used for the grid
    :param mode: The mode to use for images
    :return: Image of images in a square grid
    """
    # Get maximum size for square grid of images
    save_size = math.floor(np.sqrt(images.shape[0]))

    # Scale to 0-255
    images = (((images - images.min()) * 255) / (images.max() - images.min())).astype(np.uint8)

    # Put images in a square arrangement
    images_in_square = np.reshape(
            images[:save_size*save_size],
            (save_size, save_size, images.shape[1], images.shape[2], images.shape[3]))
    if mode == 'L':
        images_in_square = np.squeeze(images_in_square, 4)

    # Combine images to grid image
    new_im = Image.new(mode, (images.shape[1] * save_size, images.shape[2] * save_size))
    for col_i, col_images in enumerate(images_in_square):
        for image_i, image in enumerate(col_images):
            im = Image.fromarray(image, mode)
            new_im.paste(im, (col_i * images.shape[1], image_i * images.shape[2]))

    return new_im


def download_extract(database_name, data_path):
    """
    Download and extract database
    :param database_name: Database name
    """
    DATASET_CELEBA_NAME = 'celeba'
    DATASET_MNIST_NAME = 'mnist'

    if database_name == DATASET_CELEBA_NAME:
        url = 'https://s3-us-west-1.amazonaws.com/udacity-dlnfd/datasets/celeba.zip'
        hash_code = '00d2c5bc6d35e252742224ab0c1e8fcb'
        extract_path = os.path.join(data_path, 'img_align_celeba')
        save_path = os.path.join(data_path, 'celeba.zip')
        extract_fn = _unzip
    elif database_name == DATASET_MNIST_NAME:
        url = 'http://yann.lecun.com/exdb/mnist/train-images-idx3-ubyte.gz'
        hash_code = 'f68b3c2dcbeaaa9fbdd348bbdeb94873'
        extract_path = os.path.join(data_path, 'mnist')
        save_path = os.path.join(data_path, 'train-images-idx3-ubyte.gz')
        extract_fn = _ungzip

    if os.path.exists(extract_path):
        print('Found {} Data'.format(database_name))
        return

    if not os.path.exists(data_path):
        os.makedirs(data_path)

    if not os.path.exists(save_path):
        with DLProgress(unit='B', unit_scale=True, miniters=1, desc='Downloading {}'.format(database_name)) as pbar:
            urlretrieve(
                url,
                save_path,
                pbar.hook)

    assert hashlib.md5(open(save_path, 'rb').read()).hexdigest() == hash_code, \
        '{} file is corrupted.  Remove the file and try again.'.format(save_path)

    os.makedirs(extract_path)
    try:
        extract_fn(save_path, extract_path, database_name, data_path)
    except Exception as err:
        shutil.rmtree(extract_path)  # Remove extraction folder if there is an error
        raise err

    # Remove compressed data
    os.remove(save_path)


class Dataset(object):
    """
    Dataset
    """
    def __init__(self, data_files):
        """
        Initalize the class
        :param dataset_name: Database name
        :param data_files: List of files in the database
        """
        IMAGE_WIDTH = 128
        IMAGE_HEIGHT = 128

        self.image_mode = 'RGB'
        image_channels = 3

        self.data_files = data_files
        self.shape = len(data_files), IMAGE_WIDTH, IMAGE_HEIGHT, image_channels

    def get_batches(self, batch_size):
        """
        Generate batches
        :param batch_size: Batch Size
        :return: Batches of data
        """
        IMAGE_MAX_VALUE = 255

        current_index = 0
        while current_index + batch_size <= self.shape[0]:
            data_batch = get_batch(
                self.data_files[current_index:current_index + batch_size],
                *self.shape[1:3],
                self.image_mode)
            
            current_index += batch_size

            yield data_batch / IMAGE_MAX_VALUE - 0.5





================================================
FILE: models/checkpoint
================================================
model_checkpoint_path: "model.ckpt"
all_model_checkpoint_paths: "model.ckpt"


================================================
FILE: models/model.ckpt.meta
================================================
[File too large to display: 20.0 MB]

================================================
FILE: start.sh
================================================
## This script was taken from Alexia Jolicoeur Martineau's work https://ajolicoeur.wordpress.com/cats/
## I modified some elements such as the link to download the dataset.

## Download CAT dataset
# wget -nc http://www.simoninithomas.com/data/cats.zip

## Setting up folder
unzip cats-dataset.zip -d cat_dataset
unzip cats.zip
mv cat_dataset/CAT_00/* cat_dataset
rmdir cat_dataset/CAT_00
mv cat_dataset/CAT_01/* cat_dataset
rmdir cat_dataset/CAT_01
mv cat_dataset/CAT_02/* cat_dataset
rmdir cat_dataset/CAT_02
mv cat_dataset/CAT_03/* cat_dataset
rmdir cat_dataset/CAT_03
mv cat_dataset/CAT_04/* cat_dataset
rmdir cat_dataset/CAT_04
mv cat_dataset/CAT_05/* cat_dataset
rmdir cat_dataset/CAT_05
mv cat_dataset/CAT_06/* cat_dataset
rmdir cat_dataset/CAT_06

## Error correction
rm cat_dataset/00000003_019.jpg.cat
mv 00000003_015.jpg.cat cat_dataset/00000003_015.jpg.cat

## Removing outliers
# Corrupted, drawings, badly cropped, inverted, impossible to tell it's a cat, blocked face
cd cat_dataset
rm 00000004_007.jpg 00000007_002.jpg 00000045_028.jpg 00000050_014.jpg 00000056_013.jpg 00000059_002.jpg 00000108_005.jpg 00000122_023.jpg 00000126_005.jpg 00000132_018.jpg 00000142_024.jpg 00000142_029.jpg 00000143_003.jpg 00000145_021.jpg 00000166_021.jpg 00000169_021.jpg 00000186_002.jpg 00000202_022.jpg 00000208_023.jpg 00000210_003.jpg 00000229_005.jpg 00000236_025.jpg 00000249_016.jpg 00000254_013.jpg 00000260_019.jpg 00000261_029.jpg 00000265_029.jpg 00000271_020.jpg 00000282_026.jpg 00000316_004.jpg 00000352_014.jpg 00000400_026.jpg 00000406_006.jpg 00000431_024.jpg 00000443_027.jpg 00000502_015.jpg 00000504_012.jpg 00000510_019.jpg 00000514_016.jpg 00000514_008.jpg 00000515_021.jpg 00000519_015.jpg 00000522_016.jpg 00000523_021.jpg 00000529_005.jpg 00000556_022.jpg 00000574_011.jpg 00000581_018.jpg 00000582_011.jpg 00000588_016.jpg 00000588_019.jpg 00000590_006.jpg 00000592_018.jpg 00000593_027.jpg 00000617_013.jpg 00000618_016.jpg 00000619_025.jpg 00000622_019.jpg 00000622_021.jpg 00000630_007.jpg 00000645_016.jpg 00000656_017.jpg 00000659_000.jpg 00000660_022.jpg 00000660_029.jpg 00000661_016.jpg 00000663_005.jpg 00000672_027.jpg 00000673_027.jpg 00000675_023.jpg 00000692_006.jpg 00000800_017.jpg 00000805_004.jpg 00000807_020.jpg 00000823_010.jpg 00000824_010.jpg 00000836_008.jpg 00000843_021.jpg 00000850_025.jpg 00000862_017.jpg 00000864_007.jpg 00000865_015.jpg 00000870_007.jpg 00000877_014.jpg 00000882_013.jpg 00000887_028.jpg 00000893_022.jpg 00000907_013.jpg 00000921_029.jpg 00000929_022.jpg 00000934_006.jpg 00000960_021.jpg 00000976_004.jpg 00000987_000.jpg 00000993_009.jpg 00001006_014.jpg 00001008_013.jpg 00001012_019.jpg 00001014_005.jpg 00001020_017.jpg 00001039_008.jpg 00001039_023.jpg 00001048_029.jpg 00001057_003.jpg 00001068_005.jpg 00001113_015.jpg 00001140_007.jpg 00001157_029.jpg 00001158_000.jpg 00001167_007.jpg 00001184_007.jpg 00001188_019.jpg 00001204_027.jpg 00001205_022.jpg 00001219_005.jpg 00001243_010.jpg 00001261_005.jpg 00001270_028.jpg 00001274_006.jpg 00001293_015.jpg 00001312_021.jpg 00001365_026.jpg 00001372_006.jpg 00001379_018.jpg 00001388_024.jpg 00001389_026.jpg 00001418_028.jpg 00001425_012.jpg 00001431_001.jpg 00001456_018.jpg 00001458_003.jpg 00001468_019.jpg 00001475_009.jpg 00001487_020.jpg
rm 00000004_007.jpg.cat 00000007_002.jpg.cat 00000045_028.jpg.cat 00000050_014.jpg.cat 00000056_013.jpg.cat 00000059_002.jpg.cat 00000108_005.jpg.cat 00000122_023.jpg.cat 00000126_005.jpg.cat 00000132_018.jpg.cat 00000142_024.jpg.cat 00000142_029.jpg.cat 00000143_003.jpg.cat 00000145_021.jpg.cat 00000166_021.jpg.cat 00000169_021.jpg.cat 00000186_002.jpg.cat 00000202_022.jpg.cat 00000208_023.jpg.cat 00000210_003.jpg.cat 00000229_005.jpg.cat 00000236_025.jpg.cat 00000249_016.jpg.cat 00000254_013.jpg.cat 00000260_019.jpg.cat 00000261_029.jpg.cat 00000265_029.jpg.cat 00000271_020.jpg.cat 00000282_026.jpg.cat 00000316_004.jpg.cat 00000352_014.jpg.cat 00000400_026.jpg.cat 00000406_006.jpg.cat 00000431_024.jpg.cat 00000443_027.jpg.cat 00000502_015.jpg.cat 00000504_012.jpg.cat 00000510_019.jpg.cat 00000514_016.jpg.cat 00000514_008.jpg.cat 00000515_021.jpg.cat 00000519_015.jpg.cat 00000522_016.jpg.cat 00000523_021.jpg.cat 00000529_005.jpg.cat 00000556_022.jpg.cat 00000574_011.jpg.cat 00000581_018.jpg.cat 00000582_011.jpg.cat 00000588_016.jpg.cat 00000588_019.jpg.cat 00000590_006.jpg.cat 00000592_018.jpg.cat 00000593_027.jpg.cat 00000617_013.jpg.cat 00000618_016.jpg.cat 00000619_025.jpg.cat 00000622_019.jpg.cat 00000622_021.jpg.cat 00000630_007.jpg.cat 00000645_016.jpg.cat 00000656_017.jpg.cat 00000659_000.jpg.cat 00000660_022.jpg.cat 00000660_029.jpg.cat 00000661_016.jpg.cat 00000663_005.jpg.cat 00000672_027.jpg.cat 00000673_027.jpg.cat 00000675_023.jpg.cat 00000692_006.jpg.cat 00000800_017.jpg.cat 00000805_004.jpg.cat 00000807_020.jpg.cat 00000823_010.jpg.cat 00000824_010.jpg.cat 00000836_008.jpg.cat 00000843_021.jpg.cat 00000850_025.jpg.cat 00000862_017.jpg.cat 00000864_007.jpg.cat 00000865_015.jpg.cat 00000870_007.jpg.cat 00000877_014.jpg.cat 00000882_013.jpg.cat 00000887_028.jpg.cat 00000893_022.jpg.cat 00000907_013.jpg.cat 00000921_029.jpg.cat 00000929_022.jpg.cat 00000934_006.jpg.cat 00000960_021.jpg.cat 00000976_004.jpg.cat 00000987_000.jpg.cat 00000993_009.jpg.cat 00001006_014.jpg.cat 00001008_013.jpg.cat 00001012_019.jpg.cat 00001014_005.jpg.cat 00001020_017.jpg.cat 00001039_008.jpg.cat 00001039_023.jpg.cat 00001048_029.jpg.cat 00001057_003.jpg.cat 00001068_005.jpg.cat 00001113_015.jpg.cat 00001140_007.jpg.cat 00001157_029.jpg.cat 00001158_000.jpg.cat 00001167_007.jpg.cat 00001184_007.jpg.cat 00001188_019.jpg.cat 00001204_027.jpg.cat 00001205_022.jpg.cat 00001219_005.jpg.cat 00001243_010.jpg.cat 00001261_005.jpg.cat 00001270_028.jpg.cat 00001274_006.jpg.cat 00001293_015.jpg.cat 00001312_021.jpg.cat 00001365_026.jpg.cat 00001372_006.jpg.cat 00001379_018.jpg.cat 00001388_024.jpg.cat 00001389_026.jpg.cat 00001418_028.jpg.cat 00001425_012.jpg.cat 00001431_001.jpg.cat 00001456_018.jpg.cat 00001458_003.jpg.cat 00001468_019.jpg.cat 00001475_009.jpg.cat 00001487_020.jpg.cat
cd ..

## Preprocessing and putting in folders for different image sizes
mkdir cats_bigger_than_64x64
mkdir cats_bigger_than_128x128
python preprocess_cat_dataset.py

## Removing cat_dataset
rm -r cat_dataset

## Move to your favorite place
#mv cats_bigger_than_64x64 /home/alexia/Datasets/Meow_64x64
#mv cats_bigger_than_128x128 /home/alexia/Datasets/Meow_128x128