Repository: facebookresearch/CRAG Branch: main Commit: ad1518887dd4 Files: 63 Total size: 2.9 MB Directory structure: gitextract_bmvl_zfa/ ├── .gitignore ├── CODE_OF_CONDUCT.md ├── CONTRIBUTING.md ├── LICENSE ├── README.md ├── data/ │ ├── .gitattributes │ ├── crag_task_1_and_2_dev_v4.jsonl.bz2 │ ├── crag_task_1_and_2_dev_v5.jsonl.bz2 │ ├── crag_task_3_dev_v4.tar.bz2.part1 │ ├── crag_task_3_dev_v4.tar.bz2.part2 │ ├── crag_task_3_dev_v4.tar.bz2.part3 │ ├── crag_task_3_dev_v4.tar.bz2.part4 │ ├── crag_task_3_dev_v5.tar.bz2.part0 │ ├── crag_task_3_dev_v5.tar.bz2.part1 │ ├── crag_task_3_dev_v5.tar.bz2.part2 │ └── crag_task_3_dev_v5.tar.bz2.part3 ├── docs/ │ ├── baselines.md │ ├── dataset.md │ └── download_baseline_model_weights.md ├── example_data/ │ └── dev_data.jsonl.bz2 ├── local_evaluation.py ├── mock_api/ │ ├── .gitignore │ ├── README.md │ ├── apiwrapper/ │ │ ├── example_call.ipynb │ │ └── pycragapi.py │ ├── cragapi/ │ │ ├── __init__.py │ │ ├── fast_bm25.py │ │ ├── finance.py │ │ ├── movie.py │ │ ├── music.py │ │ ├── open.py │ │ └── sports.py │ ├── cragkg/ │ │ ├── .gitattributes │ │ ├── finance/ │ │ │ └── company_name.dict │ │ ├── movie/ │ │ │ ├── movie_db.json │ │ │ ├── person_db.json │ │ │ └── year_db.json │ │ ├── music/ │ │ │ ├── artist_dict_simplified.pickle │ │ │ ├── artist_work_dict.pickle │ │ │ ├── grammy_df.pickle │ │ │ ├── rank_dict_hot100.pickle │ │ │ ├── song_dict_hot100.pickle │ │ │ └── song_dict_simplified.pickle │ │ ├── open/ │ │ │ ├── kg.0.jsonl.bz2 │ │ │ └── kg.1.jsonl.bz2 │ │ └── sports/ │ │ └── soccer_team_match_stats.pkl │ ├── requirements.txt │ └── server.py ├── models/ │ ├── README.md │ ├── dummy_model.py │ ├── rag_knowledge_graph_baseline.py │ ├── rag_llama_baseline.py │ ├── user_config.py │ ├── utils.py │ └── vanilla_llama_baseline.py ├── prompts/ │ └── templates.py ├── requirements.txt ├── tokenizer/ │ ├── README.md │ ├── special_tokens_map.json │ ├── tokenizer.json │ ├── tokenizer.model │ └── tokenizer_config.json └── utils/ └── cragapi_wrapper.py ================================================ FILE CONTENTS ================================================ ================================================ FILE: .gitignore ================================================ .vscode __pycache__ .DS_Store ================================================ FILE: CODE_OF_CONDUCT.md ================================================ # Code of Conduct Meta has adopted a Code of Conduct that we expect project participants to adhere to. Please read the [full text](https://opensource.fb.com/code-of-conduct/) so that you can understand what actions will and will not be tolerated. ================================================ FILE: CONTRIBUTING.md ================================================ # Contributing to CRAG We want to make contributing to this project as easy and transparent as possible. ## Pull Requests We actively welcome your pull requests. 1. Fork the repo and create your branch from `master`. 2. If you've added code that should be tested, add tests. 3. If you've changed APIs, update the documentation. 4. Ensure the test suite passes. 5. Make sure your code lints. 6. If you haven't already, complete the Contributor License Agreement ("CLA"). ## Contributor License Agreement ("CLA") In order to accept your pull request, we need you to submit a CLA. You only need to do this once to work on any of Meta's open source projects. Complete your CLA here: ## Issues We use GitHub issues to track public bugs. 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Creative Commons may be contacted at creativecommons.org. ================================================ FILE: README.md ================================================ # CRAG: Comprehensive RAG Benchmark The Comprehensive RAG Benchmark (CRAG) is a rich and comprehensive factual question answering benchmark designed to advance research in RAG. Besides question-answer pairs, CRAG provides mock APIs to simulate web and knowledge graph search. CRAG is designed to encapsulate a diverse array of questions across five domains and eight question categories, reflecting varied entity popularity from popular to long-tail, and temporal dynamisms ranging from years to seconds. This repository is migrated from [meta-comprehensive-rag-benchmark-kdd-cup-2024](https://gitlab.aicrowd.com/aicrowd/challenges/meta-comprehensive-rag-benchmark-kdd-cup-2024). ## 📊 Dataset and Mock APIs Please find more details about the CRAG dataset (download, schema, etc.) in [docs/dataset.md](docs/dataset.md) and mock APIs in [mock_api](mock_api). ## 📏 Evaluation Metrics RAG systems are evaluated using a scoring method that measures response quality to questions in the evaluation set. Responses are rated as perfect, acceptable, missing, or incorrect: - Perfect: The response correctly answers the user question and contains no hallucinated content. - Acceptable: The response provides a useful answer to the user question, but may contain minor errors that do not harm the usefulness of the answer. - Missing: The answer does not provide the requested information. Such as “I don’t know”, “I’m sorry I can’t find …” or similar sentences without providing a concrete answer to the question. - Incorrect: The response provides wrong or irrelevant information to answer the user question Auto-evaluation: - Automatic evaluation employs rule-based matching and LLM assessment to check answer correctness. It will assign three scores: correct (1 point), missing (0 points), and incorrect (-1 point). Please refer to [local_evaluation.py](local_evaluation.py) for more details on how the evaluation was implemented. ## ✍️ How to run end-to-end evaluation? 1. **Install** specific dependencies ```bash pip install -r requirements.txt ``` 2. Please follow the instructions in [models/README.md](models/README.md) for instructions and examples on how to write your own models. 3. After writing your own model(s), update [models/user_config.py](models/user_config.py) For example, in models/user_config.py, specify InstructModel to call llama3-8b-instruct model ```bash from models.vanilla_llama_baseline import InstructModel UserModel = InstructModel ``` 4. Test your model locally using `python local_evaluation.py`. This script will run answer generation and auto-evaluation. ## 🏁 Baselines We include three baselines for demonstration purposes, and you can read more about them in [docs/baselines.md](docs/baselines.md). ## Citations ``` @article{yang2024crag, title={CRAG -- Comprehensive RAG Benchmark}, author={Xiao Yang and Kai Sun and Hao Xin and Yushi Sun and Nikita Bhalla and Xiangsen Chen and Sajal Choudhary and Rongze Daniel Gui and Ziran Will Jiang and Ziyu Jiang and Lingkun Kong and Brian Moran and Jiaqi Wang and Yifan Ethan Xu and An Yan and Chenyu Yang and Eting Yuan and Hanwen Zha and Nan Tang and Lei Chen and Nicolas Scheffer and Yue Liu and Nirav Shah and Rakesh Wanga and Anuj Kumar and Wen-tau Yih and Xin Luna Dong}, year={2024}, journal={arXiv preprint arXiv:2406.04744}, url={https://arxiv.org/abs/2406.04744} } ``` ## License This project is licensed under the [Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0)](LICENSE). This license permits sharing and adapting the work, provided it's not used for commercial purposes and appropriate credit is given. For a quick overview, visit [Creative Commons License](https://creativecommons.org/licenses/by-nc/4.0/). ================================================ FILE: data/.gitattributes ================================================ *.bz2 filter=lfs diff=lfs merge=lfs -text *.bz2.part* filter=lfs diff=lfs merge=lfs -text ================================================ FILE: data/crag_task_1_and_2_dev_v4.jsonl.bz2 ================================================ version https://git-lfs.github.com/spec/v1 oid sha256:afa29f2b3facfb5d15aa9cded00d5ec90ff76f3e67279e7b99cfe86659a641ca size 739384484 ================================================ FILE: data/crag_task_1_and_2_dev_v5.jsonl.bz2 ================================================ version https://git-lfs.github.com/spec/v1 oid sha256:d4c14897d8ea2f450a24e098b595d8247c6575f996f9869d6f27a020fe020618 size 739310088 ================================================ FILE: data/crag_task_3_dev_v4.tar.bz2.part1 ================================================ version https://git-lfs.github.com/spec/v1 oid sha256:3a3f642643adc427b356b34fd078ba867c3905aa4341fc181457197aee9a55cf size 2097152000 ================================================ FILE: data/crag_task_3_dev_v4.tar.bz2.part2 ================================================ version https://git-lfs.github.com/spec/v1 oid sha256:abd76c029079b93065aba7fb4fc0e129a803de7ee0e1511432d0037d1782aa7c size 2097152000 ================================================ FILE: data/crag_task_3_dev_v4.tar.bz2.part3 ================================================ version https://git-lfs.github.com/spec/v1 oid sha256:d82e3c94e29a361635ed6b56797747b77ef3cf07dc454736d661461f32c23dab size 2097152000 ================================================ FILE: data/crag_task_3_dev_v4.tar.bz2.part4 ================================================ version https://git-lfs.github.com/spec/v1 oid sha256:ed48b1ca55606a7d22be4809b10d7de0251d429f01e689a066c6def2428995ad size 1432877269 ================================================ FILE: data/crag_task_3_dev_v5.tar.bz2.part0 ================================================ version https://git-lfs.github.com/spec/v1 oid sha256:0220e4b43356ff32a00f35647a4cb375301773c7e66a48daf9329781fdfec3d7 size 2147483648 ================================================ FILE: data/crag_task_3_dev_v5.tar.bz2.part1 ================================================ version https://git-lfs.github.com/spec/v1 oid sha256:9628e5f24bb4273afbdc380c13c68533fc5e5e788e00a973a7e2765566161330 size 2147483648 ================================================ FILE: data/crag_task_3_dev_v5.tar.bz2.part2 ================================================ version https://git-lfs.github.com/spec/v1 oid sha256:533bb48a5bed3818262edd02219eff351493a2f35a276958d62b9614257471f5 size 2147483648 ================================================ FILE: data/crag_task_3_dev_v5.tar.bz2.part3 ================================================ version https://git-lfs.github.com/spec/v1 oid sha256:cc8c4b0224a3d1512283433ed6418c2a4f633dfab98f76ef4acd38fd63b26464 size 1283117287 ================================================ FILE: docs/baselines.md ================================================ # CRAG Baselines For the CRAG benchmark, we provide users with three baseline models to help get started. Detailed implementations of these baseline models are accessible through the links provided below. Refer to [this page](download_baseline_model_weights.md) for steps to download (and check in) the models weights required for the baseline models. ## Available Baseline Models: 1. [**Vanilla Llama 3 Model**](../models/vanilla_llama_baseline.py): For an implementation guide and further details, refer to the Vanilla Llama 3 model inline documentation [here](../models/vanilla_llama_baseline.py). 2. [**RAG Baseline Model**](../models/rag_llama_baseline.py): For an implementation guide and further details, refer to the RAG Baseline model inline documentation [here](../models/rag_llama_baseline.py). 3. [**RAG Knowledge Graph Baseline Model**](../models/rag_knowledge_graph_baseline.py): For an implementation guide and further details, refer to the RAG Baseline model inline documentation [here](../models/rag_knowledge_graph_baseline.py). ================================================ FILE: docs/dataset.md ================================================ # CRAG Dataset Documentation ## Overview The CRAG dataset is designed to support the development and evaluation of Retrieval-Augmented Generation (RAG) models. It consists of two main types of data: 1. **Question Answering Pairs:** Pairs of questions and their corresponding answers. 2. **Retrieval Contents:** Contents for information retrieval to support answer generation. Retrieval contents are divided into two types to simulate practical scenarios for RAG: 1. **Web Search Results:** For each question, up to `50` **full HTML pages** are stored, retrieved using the question text as a search query. For Task 1 & 2, `5 pages` are **randomly selected** from the `top-10 pages`. These pages are likely relevant to the question, but relevance is not guaranteed. 2. **Mock KGs and APIs:** The Mock API is designed to mimic real-world **Knowledge Graphs (KGs)** or **API searches**. Given some input parameters, they output relevant results, which may or may not be helpful in answering the user's question. ## Download CRAG Data - **Task #1:** [QA Pairs & Retrieval Contents](https://github.com/facebookresearch/CRAG/raw/refs/heads/main/data/crag_task_1_and_2_dev_v4.jsonl.bz2?download=) - **Task #2:** [QA Pairs & Retrieval Contents](https://github.com/facebookresearch/CRAG/raw/refs/heads/main/data/crag_task_1_and_2_dev_v4.jsonl.bz2?download=), [Mock KGs and APIs](/mock_api) - **Task #3:** QA Pairs & Retrieval Contents (download part [1](https://github.com/facebookresearch/CRAG/raw/refs/heads/main/data/crag_task_3_dev_v4.tar.bz2.part1?download=), [2](https://github.com/facebookresearch/CRAG/raw/refs/heads/main/data/crag_task_3_dev_v4.tar.bz2.part2?download=), [3](https://github.com/facebookresearch/CRAG/raw/refs/heads/main/data/crag_task_3_dev_v4.tar.bz2.part3?download=), and [4](https://github.com/facebookresearch/CRAG/raw/refs/heads/main/data/crag_task_3_dev_v4.tar.bz2.part4?download=); then merge them by `cat crag_task_3_dev_v4.tar.bz2.part* > crag_task_3_dev_v4.tar.bz2`), [Mock KGs and APIs](/mock_api) ## Data Schema | Field Name | Type | Description | |------------------------|---------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------| | `interaction_id` | string | A unique identifier for each example. | | `query_time` | string | Date and time when the query and the web search occurred. | | `domain` | string | Domain label for the query. Possible values: "finance", "music", "movie", "sports", "open". "Open" includes any factual queries not among the previous four domains. | | `question_type` | string | Type label about the query. Possible values include: "simple", "simple_w_condition", "comparison", "aggregation", "set", "false_premise", "post-processing", "multi-hop". | | `static_or_dynamic` | string | Indicates whether the answer to a question changes and the expected rate of change. Possible values: "static", "slow-changing", "fast-changing", and "real-time". | | `query` | string | The question for RAG to answer. | | `answer` | string | The gold standard answer to the question. | | `alt_ans` | list | Other valid gold standard answers to the question. | | `split` | integer | Data split indicator, where 0 is for validation and 1 is for the public test. | | `popularity` | string | Popularity category of the entity mentioned in the question, with "head", "torso" and "tail" corresponding to the top, middle, and bottom popularity. We defined popularity based on heuristics for each entity type and created a roughly equal number of questions for each bucket. All questions with popularity labels non-empty are Knowledge Graph (KG) questions - questions with answers coming from the KG. When popularity is an empty string, it means the answer to the question comes from the web. | `search_results` | list of JSON | Contains up to `k` HTML pages for each query (`k=5` for Task #1 and `k=50` for Task #3), including page name, URL, snippet, full HTML, and last modified time. | ### Search Results Detail | Key | Type | Description | |----------------------|--------|---------------------------------------------------------| | `page_name` | string | The name of the webpage. | | `page_url` | string | The URL of the webpage. | | `page_snippet` | string | A short paragraph describing the major content of the page. | | `page_result` | string | The full HTML of the webpage. | | `page_last_modified` | string | The time when the page was last modified. | ================================================ FILE: docs/download_baseline_model_weights.md ================================================ ### Setting Up and Downloading Baseline Model weights with Hugging Face This guide outlines the steps to download (and check in) the models weights required for the baseline models. We will focus on the `Meta-Llama-3-8B-Instruct` and `all-MiniLM-L6-v2` models. But the steps should work equally well for any other models on hugging face. #### Preliminary Steps: 1. **Install the Hugging Face Hub Package**: Begin by installing the `huggingface_hub` package, which includes the `hf_transfer` utility, by running the following command in your terminal: ```bash pip install huggingface_hub[hf_transfer] ``` 2. **Accept the Llama Terms**: You must accept the Llama model's terms of use by visiting: [meta-llama/Meta-Llama-3-8B-Instruct Terms](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct). 3. **Create a Hugging Face CLI Token**: Generate a CLI token by navigating to: [Hugging Face Token Settings](https://huggingface.co/settings/tokens). You will need this token for authentication. #### Hugging Face Authentication: 1. **Login via CLI**: Authenticate yourself with the Hugging Face CLI using the token created in the previous step. Run: ```bash huggingface-cli login ``` When prompted, enter the token. #### Model Downloads: 1. **Download LLaMA-2-7b Model**: Execute the following command to download the `Meta-Llama-3-8B-Instruct` model to a local subdirectory. This command excludes unnecessary files to save space: ```bash HF_HUB_ENABLE_HF_TRANSFER=1 huggingface-cli download \ meta-llama/Meta-Llama-3-8B-Instruct \ --local-dir-use-symlinks False \ --local-dir models/meta-llama/Meta-Llama-3-8B-Instruct \ --exclude *.pth # These are alternates to the safetensors hence not needed ``` 3. **Download MiniLM-L6-v2 Model (for sentence embeddings)**: Similarly, download the `sentence-transformers/all-MiniLM-L6-v2` model using the following command: ```bash HF_HUB_ENABLE_HF_TRANSFER=1 huggingface-cli download \ sentence-transformers/all-MiniLM-L6-v2 \ --local-dir-use-symlinks False \ --local-dir models/sentence-transformers/all-MiniLM-L6-v2 \ --exclude *.bin *.h5 *.ot # These are alternates to the safetensors hence not needed ``` ================================================ FILE: local_evaluation.py ================================================ # Copyright (c) Meta Platforms, Inc. and affiliates. # All rights reserved. # This source code is licensed under the license found in the # LICENSE file in the root directory of this source tree. import bz2 import json import os import re from datetime import datetime from loguru import logger from openai import APIConnectionError, OpenAI, RateLimitError from prompts.templates import IN_CONTEXT_EXAMPLES, INSTRUCTIONS from tqdm.auto import tqdm from transformers import LlamaTokenizerFast from auto_gptq import AutoGPTQForCausalLM, BaseQuantizeConfig tokenizer = LlamaTokenizerFast.from_pretrained("tokenizer") def load_json_file(file_path): """Load and return the content of a JSON file.""" logger.info(f"Loading JSON from {file_path}") with open(file_path) as f: return json.load(f) def get_system_message(): """Returns the system message containing instructions and in context examples.""" return INSTRUCTIONS + "\n" + IN_CONTEXT_EXAMPLES def attempt_api_call(client, model_name, messages, max_retries=10): """Attempt an API call with retries upon encountering specific errors.""" # todo: add default response when all efforts fail for attempt in range(max_retries): try: response = client.chat.completions.create( model=model_name, messages=messages, response_format={"type": "json_object"}, temperature=0.0, ) return response.choices[0].message.content except (APIConnectionError, RateLimitError): logger.warning(f"API call failed on attempt {attempt + 1}, retrying...") except Exception as e: logger.error(f"Unexpected error: {e}") break return None def log_response(messages, response, output_directory="api_responses"): """Save the response from the API to a file.""" os.makedirs(output_directory, exist_ok=True) file_name = datetime.now().strftime("%d-%m-%Y-%H-%M-%S.json") file_path = os.path.join(output_directory, file_name) with open(file_path, "w") as f: json.dump({"messages": messages, "response": response}, f) def parse_response(response: str): """ Return a tuple of (explanation, score) from the response, where score is 0 if the prediction is wrong, 1 if the prediction is correct. Need to handle Corner case 1: {"explanation": ...} Wait, no! I made a mistake. The prediction does not exactly match the ground truth. ... {...} Corner case 2: {"score": 0, "explanation": "The prediction does not contain item, nick "goose" bradshaw, that is in the ground truth."} return a tuple of (explanation, score) """ matches = re.findall(r"{([^}]*)}", response) text = "" for match in matches: text = "{" + match + "}" try: score = -1 # Pattern to match the score score_pattern = r'"score"\s*:\s*(\d+)' score_match = re.search(score_pattern, text) if score_match: score = int(score_match.group(1)) if score != 0 and score != 1: raise Exception("bad score: " + response) else: return "Parse Err: Score not found", -1 # Pattern to match the explanation explanation_pattern = r'"explanation"\s*:\s*"(.+)"' explanation_match = re.search(explanation_pattern, text) if explanation_match: explanation = explanation_match.group(1) return explanation, score else: return text, score except Exception as e: print(f"Parsing Error with resp: {response}") print(f"Error: {e}") return response, -1 def trim_predictions_to_max_token_length(prediction): """Trims prediction output to 75 tokens using Llama2 tokenizer""" max_token_length = 75 tokenized_prediction = tokenizer.encode(prediction) trimmed_tokenized_prediction = tokenized_prediction[1 : max_token_length + 1] trimmed_prediction = tokenizer.decode(trimmed_tokenized_prediction) return trimmed_prediction def load_data_in_batches(dataset_path, batch_size): """ Generator function that reads data from a compressed file and yields batches of data. Each batch is a dictionary containing lists of interaction_ids, queries, search results, query times, and answers. Args: dataset_path (str): Path to the dataset file. batch_size (int): Number of data items in each batch. Yields: dict: A batch of data. """ def initialize_batch(): """ Helper function to create an empty batch. """ return {"interaction_id": [], "query": [], "search_results": [], "query_time": [], "answer": []} try: with bz2.open(dataset_path, "rt") as file: batch = initialize_batch() for line in file: try: item = json.loads(line) for key in batch: batch[key].append(item[key]) if len(batch["query"]) == batch_size: yield batch batch = initialize_batch() except json.JSONDecodeError: logger.warn("Warning: Failed to decode a line.") # Yield any remaining data as the last batch if batch["query"]: yield batch except FileNotFoundError as e: logger.error(f"Error: The file {dataset_path} was not found.") raise e except IOError as e: logger.error(f"Error: An error occurred while reading the file {dataset_path}.") raise e def generate_predictions(dataset_path, participant_model): """ Processes batches of data from a dataset to generate predictions using a model. Args: dataset_path (str): Path to the dataset. participant_model (object): UserModel that provides `get_batch_size()` and `batch_generate_answer()` interfaces. Returns: tuple: A tuple containing lists of queries, ground truths, and predictions. """ queries, ground_truths, predictions = [], [], [] batch_size = participant_model.get_batch_size() for batch in tqdm(load_data_in_batches(dataset_path, batch_size), desc="Generating predictions"): batch_ground_truths = batch.pop("answer") # Remove answers from batch and store them batch_predictions = participant_model.batch_generate_answer(batch) queries.extend(batch["query"]) ground_truths.extend(batch_ground_truths) predictions.extend(batch_predictions) return queries, ground_truths, predictions def evaluate_predictions(queries, ground_truths_list, predictions, evaluation_model_name): """ Evaluates the predictions generated by a model against ground truth answers. Args: queries (List[str]): List of queries. ground_truths_list (List[List[str]]): List of lists of ground truth answers. Note each query can have multiple ground truth answers. predictions (list): List of predictions generated by the model. evaluation_model_name (str): Name of the evaluation model. Returns: dict: A dictionary containing evaluation results. """ if "chat" in evaluation_model_name.lower(): # now we are using chatgpt openai_client = OpenAI() n_miss, n_correct = 0, 0 system_message = get_system_message() for _idx, prediction in enumerate(tqdm( predictions, total=len(predictions), desc="Evaluating Predictions" )): query = queries[_idx] ground_truths = ground_truths_list[_idx].strip() # trim prediction to 75 tokens using Llama2 tokenizer prediction = trim_predictions_to_max_token_length(prediction) prediction = prediction.strip() if "i don't know" in prediction_lowercase: n_miss += 1 continue accuracy = -1 for ground_truth in ground_truths: ground_truth_lowercase = ground_truth.lower() prediction_lowercase = prediction.lower() messages = [ {"role": "system", "content": system_message}, { "role": "user", "content": f"Question: {query}\n Ground truth: {ground_truth}\n Prediction: {prediction}\n", }, ] if prediction_lowercase == ground_truth_lowercase: # exact correct accuracy = 1 break elif "invalid" in prediction_lowercase and "invalid" in ground_truth_lowercase: accuracy = 1 break elif "invalid" in prediction_lowercase and "invalid" not in ground_truth_lowercase: # hallucination accuracy = 0 continue elif "invalid" not in prediction_lowercase and "invalid" in ground_truth_lowercase: # hallucination accuracy = 0 continue else: # need to use the OpenAI evaluation model to get the accuracy result (0 means wrong, 1 means correct) response = attempt_api_call(openai_client, evaluation_model_name, messages) if response: log_response(messages, response) _, accuracy = parse_response(response) if accuracy == 1: # no need to check other ground truth(s) break if accuracy == 1: n_correct += 1 n = len(predictions) results = { "score": (2 * n_correct + n_miss) / n - 1, "accuracy": n_correct / n, "hallucination": (n - n_correct - n_miss) / n, "missing": n_miss / n, "n_miss": n_miss, "n_correct": n_correct, "n_hallucination": n - n_correct - n_miss, "total": n, } logger.info(results) return results elif "llama" in evaluation_model_name.lower(): # now we are using llama model to evaluate # to be filled by Jiaqi raise NotImplementedError("Llama evaluation model is not implemented yet.") else: raise NotImplementedError(f"Unknown evaluation model: {evaluation_model_name}") if __name__ == "__main__": from models.user_config import UserModel DATASET_PATH = "example_data/dev_data.jsonl.bz2" EVALUATION_MODEL_NAME = os.getenv("EVALUATION_MODEL_NAME", "gpt-4-0125-preview") # Generate predictions participant_model = UserModel() queries, ground_truths, predictions = generate_predictions(DATASET_PATH, participant_model) # Evaluate Predictions openai_client = OpenAI() evaluation_results = evaluate_predictions( queries, ground_truths, predictions, EVALUATION_MODEL_NAME, openai_client ) ================================================ FILE: mock_api/.gitignore ================================================ __pycache__/ .ipynb_checkpoints ================================================ FILE: mock_api/README.md ================================================ # Comprehensive RAG Benchmark (CRAG) Mock API ## Prerequisites Before diving into the setup and usage of the CRAG Mock API, ensure you have the following prerequisites installed and set up on your system: - Git (for cloning the repository) - Python 3.10 ## Installation Guide ### Setting Up Your Environment First, clone the repository to your local machine using Git. Then, navigate to the repository directory and install the necessary dependencies: ``` cd mock_api pip install -r requirements.txt ``` ## Running the API Server To launch the API server on your local machine, use the following Uvicorn command. This starts a fast, asynchronous server to handle API requests. ``` uvicorn server:app --reload ``` Access the API documentation and test the endpoints at `http://127.0.0.1:8000/docs`. For custom server configurations, specify the host and port as follows: ``` uvicorn server:app --reload --host [HOST] --port [PORT] ``` ## System Requirements - **Supported OS**: Linux, Windows, macOS - **Python Version**: 3.10 - See `requirements.txt` for a complete list of Python package dependencies. ## Python API Wrapper For Python developers, the [/mock_api/apiwrapper/pycragapi.py](/mock_api/apiwrapper/pycragapi.py) provides a convenient way to interact with the API. An example usage is demonstrated in [/mock_api/apiwrapper/example_call.ipynb](/mock_api/apiwrapper/example_call.ipynb), showcasing how to efficiently integrate the API into your development workflow. ================================================ FILE: mock_api/apiwrapper/example_call.ipynb ================================================ { "cells": [ { "cell_type": "code", "execution_count": 1, "id": "e5a9060c-445e-4504-8c58-dddc83d2b7b5", "metadata": {}, "outputs": [], "source": [ "from pycragapi import CRAG\n", "\n", "api = CRAG()" ] }, { "cell_type": "code", "execution_count": 2, "id": "c99462a5-567e-4980-8db9-d9cb1ec058cd", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "{'result': ['Florida',\n", " 'Florida City, Florida',\n", " 'Tallahassee, Florida',\n", " 'Bushnell, Florida',\n", " 'Florida College',\n", " 'Florida (disambiguation)',\n", " 'Gainesville, Florida',\n", " 'Florida, Massachusetts',\n", " 'Florida Territory',\n", " 'Orlando, Florida']}" ] }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [ "api.open_search_entity_by_name(\"florida\")" ] }, { "cell_type": "code", "execution_count": 3, "id": "bba4579b-861a-46b6-9b93-681a24558000", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "{'result': {'summary_text': 'Florida City is a city in Miami-Dade County, Florida, United States. It is the southernmost municipality in the South Florida metropolitan area. Florida City is primarily a Miami suburb and a major agricultural area. As of the 2020 census, it had a population of 13,085, up from 11,245 in 2010.\\nThe city lies to the south and west of, and is contiguous with, Homestead. Both cities suffered catastrophic damage in August 1992 when Hurricane Andrew struck South Florida.\\nThe city originated as a land promotion named \"Detroit\". There were no buildings in the area when the first thirty families arrived in 1910, and they had to stay in Homestead until their houses could be built. The name was changed to \"Florida City\" when the town incorporated in 1914. It has a small historic area, but much of the city is hotels and other tourist facilities.\\nThe city is at the eastern end of the only road running through the Everglades National Park, which terminates at Flamingo. Florida City is the southernmost city in the United States which is not on an island. It is also the last stop on the mainland north of the Florida Keys. The southern terminus of the Homestead Extension of Florida\\'s Turnpike where it ends at its junction with U.S. 1 is located in Florida City. Homestead is immediately north and east of Florida City, and these two cities comprise the greater Homestead-Florida City area. Some of the notable unincorporated communities in the area are Redland, Leisure City, Naranja, and Princeton.',\n", " 'summary_structured': {'name': 'Florida City',\n", " 'settlement_type': '[[List of communities in Miami-Dade County, Florida|City]]',\n", " 'official_name': 'City of Florida City',\n", " 'other_name': '',\n", " 'native_name': '',\n", " 'nickname': '',\n", " 'motto': 'Gateway to the Florida Keys and the Everglades{{cite web|url=http://floridacityfl.net/ |archive-url=https://web.archive.org/web/20130603060421/http://floridacityfl.net/ |url-status=dead |archive-date=June 3, 2013 |title= City of Florida City (Website)|publisher= City of Florida City (Website has had its motto on its website since June 3, 2013) via [[Wayback Machine]] |access-date= March 4, 2019}}',\n", " 'image_skyline': 'Florida City FL city hall02.jpg',\n", " 'image_caption': '',\n", " 'image_flag': '',\n", " 'flag_size': '',\n", " 'image_seal': '',\n", " 'seal_size': '',\n", " 'image_shield': '',\n", " 'shield_size': '',\n", " 'image_map': 'Miami-Dade_County_Florida_Incorporated_and_Unincorporated_areas_Florida_City_Highlighted.svg',\n", " 'mapsize': '250x200px',\n", " 'map_caption': 'Location in [[Miami-Dade County, Florida|Miami-Dade County]] and the state of Florida',\n", " 'image_map1': 'Florida_City.gif',\n", " 'mapsize1': '250x200px',\n", " 'map_caption1': 'U.S. Census Bureau map showing city limits',\n", " 'pushpin_map': '',\n", " 'pushpin_map_caption': '',\n", " 'pushpin_mapsize': '',\n", " 'subdivision_type': '[[List of sovereign states|Country]]',\n", " 'subdivision_name': '{{Nowrap|{{Flag|United States of America|size=23px}}}}',\n", " 'subdivision_type1': '[[U.S. state|State]]',\n", " 'subdivision_name1': '{{Flag|Florida|size=23px}}',\n", " 'subdivision_type2': '[[List of counties in Florida|County]]',\n", " 'subdivision_name2': '{{Flagicon image|Flag of Miami-Dade County, Florida.png|size=23px}} [[Miami-Dade County, Florida|Miami-Dade]]',\n", " 'government_footnotes': '',\n", " 'government_type': '[[Mayor-Council government|Mayor-Council]]',\n", " 'leader_title': '[[mayor (United States)|Mayor]]',\n", " 'leader_name': 'Otis T. Wallace',\n", " 'leader_title1': '[[Vice Mayor]]',\n", " 'leader_name1': 'Walter Thompson Sr.',\n", " 'leader_title2': '[[city council|Commissioners]]',\n", " 'leader_name2': 'James Gold,
Sharon Butler, and
Eugene D. Berry',\n", " 'leader_title3': '[[City Manager]]',\n", " 'leader_name3': 'Mayor Otis T. Wallace',\n", " 'leader_title4': '[[City Clerk]]',\n", " 'leader_name4': 'Jennifer A. Evelyn',\n", " 'established_title': '[[municipal corporation|Incorporated]]',\n", " 'established_date': 'December 29, 1914',\n", " 'established_title2': '',\n", " 'established_date2': '',\n", " 'established_title3': '',\n", " 'established_date3': '',\n", " 'unit_pref': 'Imperial',\n", " 'area_footnotes': '{{cite web |title=2022 U.S. Gazetteer Files: Florida |url=https://www2.census.gov/geo/docs/maps-data/data/gazetteer/2022_Gazetteer/2022_gaz_place_12.txt |publisher=United States Census Bureau |accessdate=December 23, 2022}}',\n", " 'area_total_km2': '15.69',\n", " 'area_land_km2': '15.51',\n", " 'area_water_km2': '0.18',\n", " 'area_total_sq_mi': '6.06',\n", " 'area_land_sq_mi': '5.99',\n", " 'area_water_sq_mi': '0.07',\n", " 'area_water_percent': '0',\n", " 'population_as_of': '[[2020 United States census|2020]]',\n", " 'population_footnotes': '{{Cite web| url=https://data.census.gov/cedsci/table?q=&g=1600000US1222975&tid=DECENNIALPL2020.P1| title=P1. Race – Florida City city, Florida: 2020 DEC Redistricting Data (PL 94-171)| publisher=U.S. Census Bureau| access-date=December 23, 2022}}',\n", " 'population_note': '',\n", " 'population_total': '13085',\n", " 'population_density_km2': '843.49',\n", " 'population_density_sq_mi': '2184.47',\n", " 'pop_est_as_of': '',\n", " 'pop_est_footnotes': '',\n", " 'population_est': '',\n", " 'population_density_metro_sq_mi': '',\n", " 'population_density_urban_sq_mi': '',\n", " 'timezone': 'Eastern (EST)',\n", " 'utc_offset': '-5',\n", " 'timezone_DST': 'EDT',\n", " 'utc_offset_DST': '-4',\n", " 'coordinates': '{{coord|25|27|05|N|80|29|04|W|region:US-FL|display=inline,title}}',\n", " 'elevation_footnotes': '',\n", " 'elevation_m': '',\n", " 'elevation_ft': '5',\n", " 'postal_code_type': '[[ZIP code]]s',\n", " 'postal_code': '33034, 33035',\n", " 'area_code': '[[Area code 305|305]], [[Area code 786|786]], [[Area code 645|645]]',\n", " 'blank_name': '[[Federal Information Processing Standard|FIPS code]]',\n", " 'blank_info': '12-22975{{cite web |url=https://www.census.gov |publisher=[[United States Census Bureau]] |access-date=2008-01-31 |title=U.S. Census website }}',\n", " 'blank1_name': '[[Geographic Names Information System|GNIS]] feature ID',\n", " 'blank1_info': '0282605{{cite web|url=http://geonames.usgs.gov|access-date=2008-01-31|title=US Board on Geographic Names|publisher=[[United States Geological Survey]]|date=2007-10-25}}',\n", " 'website': '{{URL|www.floridacityfl.gov}}',\n", " 'footnotes': ''},\n", " 'raw_mediawiki': '{{About|the city known as Florida City|the 2003 film|Florida City (film)}}\\n{{use mdy dates |date=June 2020}}\\n{{Infobox settlement\\n\\n|name = Florida City\\n|settlement_type = [[List of communities in Miami-Dade County, Florida|City]]\\n|official_name = City of Florida City\\n|other_name =\\n|native_name = \\n|nickname =\\n|motto = Gateway to the Florida Keys and the Everglades{{cite web|url=http://floridacityfl.net/ |archive-url=https://web.archive.org/web/20130603060421/http://floridacityfl.net/ |url-status=dead |archive-date=June 3, 2013 |title= City of Florida City (Website)|publisher= City of Florida City (Website has had its motto on its website since June 3, 2013) via [[Wayback Machine]] |access-date= March 4, 2019}}\\n\\n|image_skyline = Florida City FL city hall02.jpg\\n|image_caption =\\n|image_flag =\\n|flag_size =\\n|image_seal =\\n|seal_size =\\n|image_shield =\\n|shield_size =\\n|image_map = Miami-Dade_County_Florida_Incorporated_and_Unincorporated_areas_Florida_City_Highlighted.svg\\n|mapsize = 250x200px\\n|map_caption = Location in [[Miami-Dade County, Florida|Miami-Dade County]] and the state of Florida\\n|image_map1 = Florida_City.gif\\n|mapsize1 = 250x200px\\n|map_caption1 = U.S. Census Bureau map showing city limits\\n|pushpin_map = \\n|pushpin_map_caption =\\n|pushpin_mapsize =\\n\\n|subdivision_type = [[List of sovereign states|Country]]\\n|subdivision_name = {{Nowrap|{{Flag|United States of America|size=23px}}}}\\n|subdivision_type1 = [[U.S. state|State]]\\n|subdivision_name1 = {{Flag|Florida|size=23px}}\\n|subdivision_type2 = [[List of counties in Florida|County]]\\n|subdivision_name2 = {{Flagicon image|Flag of Miami-Dade County, Florida.png|size=23px}} [[Miami-Dade County, Florida|Miami-Dade]]\\n\\n|government_footnotes =\\n|government_type = [[Mayor-Council government|Mayor-Council]]\\n|leader_title = [[mayor (United States)|Mayor]]\\n|leader_name = Otis T. Wallace\\n|leader_title1 = [[Vice Mayor]]\\n|leader_name1 = Walter Thompson Sr.\\n|leader_title2 = [[city council|Commissioners]]\\n|leader_name2 = James Gold,
Sharon Butler, and
Eugene D. Berry\\n|leader_title3 = [[City Manager]]\\n|leader_name3 = Mayor Otis T. Wallace\\n|leader_title4 = [[City Clerk]]\\n|leader_name4 = Jennifer A. Evelyn\\n|established_title = [[municipal corporation|Incorporated]]\\n|established_date = December 29, 1914\\n|established_title2 = \\n|established_date2 =\\n|established_title3 = \\n|established_date3 =\\n\\n|unit_pref = Imperial\\n|area_footnotes = {{cite web |title=2022 U.S. Gazetteer Files: Florida |url=https://www2.census.gov/geo/docs/maps-data/data/gazetteer/2022_Gazetteer/2022_gaz_place_12.txt |publisher=United States Census Bureau |accessdate=December 23, 2022}}\\n|area_total_km2 = 15.69\\n\\n|area_land_km2 = 15.51\\n\\n|area_water_km2 = 0.18\\n|area_total_sq_mi = 6.06\\n|area_land_sq_mi = 5.99\\n|area_water_sq_mi = 0.07\\n|area_water_percent = 0\\n\\n|population_as_of = [[2020 United States census|2020]]\\n|population_footnotes = {{Cite web| url=https://data.census.gov/cedsci/table?q=&g=1600000US1222975&tid=DECENNIALPL2020.P1| title=P1. Race – Florida City city, Florida: 2020 DEC Redistricting Data (PL 94-171)| publisher=U.S. Census Bureau| access-date=December 23, 2022}}\\n|population_note =\\n|population_total = 13085\\n|population_density_km2 = 843.49\\n|population_density_sq_mi = 2184.47\\n|pop_est_as_of =\\n|pop_est_footnotes =\\n|population_est =\\n|population_density_metro_sq_mi =\\n|population_density_urban_sq_mi =\\n\\n|timezone = Eastern (EST)\\n|utc_offset = -5\\n|timezone_DST = EDT\\n|utc_offset_DST = -4\\n|coordinates = {{coord|25|27|05|N|80|29|04|W|region:US-FL|display=inline,title}}\\n|elevation_footnotes = \\n|elevation_m =\\n|elevation_ft = 5\\n\\n|postal_code_type = [[ZIP code]]s\\n|postal_code = 33034, 33035\\n|area_code = [[Area code 305|305]], [[Area code 786|786]], [[Area code 645|645]]\\n|blank_name = [[Federal Information Processing Standard|FIPS code]]\\n|blank_info = 12-22975{{cite web |url=https://www.census.gov |publisher=[[United States Census Bureau]] |access-date=2008-01-31 |title=U.S. Census website }}\\n|blank1_name = [[Geographic Names Information System|GNIS]] feature ID\\n|blank1_info = 0282605{{cite web|url=http://geonames.usgs.gov|access-date=2008-01-31|title=US Board on Geographic Names|publisher=[[United States Geological Survey]]|date=2007-10-25}}\\n|website = {{URL|www.floridacityfl.gov}}\\n|footnotes =\\n}}\\n\\n\\'\\'\\'Florida City\\'\\'\\' is a city in [[Miami-Dade County, Florida|Miami-Dade County]], Florida, United States. It is the southernmost municipality in the [[South Florida metropolitan area]]. Florida City is primarily a [[Miami]] suburb and a major agricultural area. As of the [[2020 United States census|2020 census]], it had a population of 13,085, up from 11,245 in 2010.\\n\\nThe city lies to the south and west of, and is contiguous with, [[Homestead, Florida|Homestead]]. Both cities suffered catastrophic damage in August 1992 when [[Hurricane Andrew]] struck South Florida.\\n\\nThe city originated as a land promotion named \"Detroit\". There were no buildings in the area when the first thirty families arrived in 1910, and they had to stay in Homestead until their houses could be built. The name was changed to \"Florida City\" when the town incorporated in 1914.{{cite book |last=Taylor |first=Jean |date=1985 |title=Villages of South Dade|location=St. Petersburg, Fla |publisher=B. Kennedy |oclc=18906834 |lccn=88132899 |pages=203–205}} It has a small historic area, but much of the city is hotels and other tourist facilities.\\n\\nThe city is at the eastern end of the only road running through the [[Everglades National Park]], which terminates at [[Flamingo, Florida|Flamingo]]. Florida City is the southernmost city in the United States which is not on an island. It is also the last stop on the mainland north of the [[Florida Keys]]. The southern terminus of the [[Homestead Extension of Florida\\'s Turnpike]] where it ends at its junction with [[U.S. Route 1 in Florida|U.S. 1]] is located in Florida City. Homestead is immediately north and east of Florida City, and these two cities comprise the greater Homestead-Florida City area. Some of the notable unincorporated communities in the area are [[Redland, Florida|Redland]], [[Leisure City, Florida|Leisure City]], [[Naranja, Florida|Naranja]], and [[Princeton, Florida|Princeton]].\\n\\n==Physiography and natural history==\\nFlorida City is situated mostly atop a limestone ridge called the [[Miami Rock Ridge]]{{cite web |url=http://www.miamidade.gov/derm/Ecosystems/pinerocklands.asp |title=Miami-Dade County - Ecosystems |website=www.miamidade.gov |url-status=dead |archive-url=https://web.archive.org/web/20030728142720/http://www.miamidade.gov/derm/Ecosystems/pinerocklands.asp |archive-date=2003-07-28}} that extends south from present day [[North Miami Beach, Florida|North Miami Beach]][http://www.citynmb.com/ City of North Miami Beach, Florida - North Miami Beach] to a location in [[Everglades National Park]].[http://www.nps.gov/ever/ Everglades National Park (U.S. National Park Service)] The ridge, consisting of Miami [[limestone]],[http://www.dep.state.fl.us/geology/geologictopics/rocks/miami_limestone.htm DRAM, FGS, Miami Limestone] serves as the higher ground within the community. The ridge extended from northeast to southwest across the city. The old location of the Florida East Coast Railway track marks the approximate boundary of the location of the limestone ridge south of Davis Parkway. The range of elevation of the ridge is from 5 to 8 feet (1.5–2.4 meters) above sea level.\\n\\nBefore settlement, the ridge was vegetated by South Florida Slash Pine trees, which were alternatively known as [[Slash Pine|Dade County Pine]] \\'\\'(Pinus elliottii var. densa)\\'\\'. (Remnants of these pines can be seen today in local parks and in Everglades National Park at the Long Pine Key picnic area.) These [[pine rocklands]] were crushed by equipment and converted to farmland during the 1900s.{{Cite web |url=http://www.southmiamidadewatershed.com/Presentations/Hydrology%20May%202002%20WAC_files/frame.htm |title=PowerPoint Presentation |access-date=2006-10-14 |archive-url=https://web.archive.org/web/20071008044418/http://www.southmiamidadewatershed.com/Presentations/Hydrology%20May%202002%20WAC_files/frame.htm |archive-date=2007-10-08 |url-status=dead }} Tomatoes, squash, and other truck crops were grown in the area during the winter months and packed at the Florida City State Farmers\\' Market[http://www.florida-agriculture.com/marketing/markets/floridacity_market.htm Florida City State Farmers\\' Market: Marketing Florida Agriculture] near Krome Avenue and Palm Drive, driving the local economy throughout the 1900s.\\n\\nEast of the natural ridge was a broad area of marshlands surrounding the area. Old timers of Florida City called these coastal glades the \"East Glade\". This was an extension of Everglades that extended from areas west and south of Florida City to its east. East of the East Glade, marshlands gave way to [[mangrove swamp]][http://www.sfrc.ufl.edu/4h/Ecosystems/Mangrove/mangrove.html Mangrove] prior to reaching Biscayne Bay.[http://www.nps.gov/bisc/ Biscayne National Park (U.S. National Park Service)] Soils in the East Glade primarily consisted of a limey soil called Biscayne Marl.[http://soils.usda.gov/survey/online_surveys/florida/dade/dsm.html#dsm13 Detailed Soil Map Units (SS of Dade, Florida) | NRCS Soils]\\n\\nDevelopment schemes in the East Glade led to the construction of canals in the early 1900s.{{Cite web |url=http://www.southmiamidadewatershed.com/Presentations/Habitat_May%202002%20WAC_files/frame.htm |title=PowerPoint Presentation |access-date=2006-10-14 |archive-url=https://web.archive.org/web/20071008044522/http://www.southmiamidadewatershed.com/Presentations/Habitat_May%202002%20WAC_files/frame.htm |archive-date=2007-10-08 |url-status=dead }} This led to a lowering of water tables. Although development the East Glade was not extensive prior to the 1980s, agricultural development did occur. Potatoes were the primary crop grown in the East Glade before the construction of extensive housing developments within the areas annexed by the [[Homestead, Florida|City of Homestead]][http://ci.homestead.fl.us/ City of Homestead - Online] in the late 1970s. Potatoes mostly were harvested from February to March.\\n\\nFlorida City was historically bisected by a [[Slough (hydrology)|slough]]. Sloughs commonly were found crossing the limestone ridge at a roughly perpendicular angle from Miami to Florida City. Florida City\\'s slough (officially called \"Long Slough\" or \"Long Glade Slough\") entered the city near Redland Road and Lucy Street, and extended across the city to the southeast to a location near today\\'s NW 3rd Street and NW 3rd Avenue. East of this point, the slough entered the East Glade.\\n\\nLong Slough was a slow flowing body of water that originated in the Everglades just south of the [[Miami Homestead General Aviation Airport]].{{Cite web |url=http://www.miami-airport.com/html/homestead_general_.html |title=Homestead General |access-date=2006-10-14 |archive-url=https://web.archive.org/web/20061018094832/http://www.miami-airport.com/html/homestead_general_.html |archive-date=2006-10-18 |url-status=dead }} As canals were constructed in the 1900s, and especially the 1960s, the slough was drained and became a low valley in the limestone ridge. Roadways (such as Redland Road near West Homestead Elementary School,[http://whe.dadeschools.net/ Welcome to West Homestead Elementary] NW 6th Avenue north of Davis Parkway, and NW 3rd Avenue about fifty feet north of NW 3rd Street) had culverts constructed under them to allow water to pass through the slough. NW 4th Street east of NW 5th Avenue dead ended near the approximate location where a fictional NW 4th Avenue would intersect that street. During the late 1980s, the street was constructed to reach NW 3rd Avenue since water in the slough had been drained away. Eventually fill was added to the slough and it was destroyed.\\n\\nExtensive filling operations were conducted in Long Slough near NW 3rd Avenue in the late 1970s. Fill was obtained as waste rock from a nearby rock cutting operation (utilizing Key Largo Limestone,[http://www.dep.state.fl.us/geology/geologictopics/rocks/key_largo.htm DRAM, FGS, Key Largo Limestone] a local coral rock) and was allowed to be dumped in the location by the landowners. Today, this portion of Long Slough serves as a housing development.\\n\\nAn additional natural feature existed along Davis Parkway, extending into the Florida City Camper Park. This feature was a live oak [[Hammock (ecology)|hammock]].[http://www.sfrc.ufl.edu/4h/Ecosystems/Tropical_Hammocks/tropical_hammocks.html Tropical Hammocks] The understory of the hammock was cleared for the camper park, but much of the hammock remained undisturbed to the south of Davis Parkway and NW 1st Road before the late 1970s.\\n\\nFlorida City today serves as the southern terminus of the [[Homestead Extension of Florida\\'s Turnpike]].[http://www.floridasturnpike.com/ Florida\\'s Turnpike - The Less Stressway] Motels and eateries are located along US 1 before taking the highway south into the Florida Keys. Along with serving as the mainland entrance to the [[Florida Keys]],[http://www.fla-keys.com/ The Official Tourism Council Web Site for the Florida Keys! Key Largo, Islamorada, Marathon, Lower Keys, Key West] Florida City also serves as the gateway to the main section of [[Everglades National Park]].[http://www.nps.gov/ever Everglades National Park (U.S. National Park Service)]\\n\\n==Geography==\\nFlorida City is located at {{Coord|25.451331|-80.484383|type:city_region:US|format=dms|display=inline}}.{{cite web|url=https://www.census.gov/geographies/reference-files/time-series/geo/gazetteer-files.html|publisher=[[United States Census Bureau]]|access-date=2011-04-23|date=2011-02-12|title=US Gazetteer files: 2010, 2000, and 1990}}\\n\\nAccording to the [[United States Census Bureau]], the city has a total area of {{convert|6.1|sqmi}}, of which {{convert|0.07|sqmi|2}}, or 1.14%, are water.\\n\\n==Demographics==\\n{{US Census population\\n|1920= 355\\n|1930= 452\\n|1940= 752\\n|1950= 1547\\n|1960= 4114\\n|1970= 5133\\n|1980= 6174\\n|1990= 5806\\n|2000= 7843\\n|2010= 11245\\n|2020= 13085\\n|footnote=U.S. Decennial Census{{cite web|url=https://www.census.gov/programs-surveys/decennial-census.html|title=Census of Population and Housing|publisher=Census.gov|access-date=June 4, 2015}}\\n}}\\n\\n===2020 census===\\n{| class=\"wikitable\"\\n|+\\'\\'\\'Florida City racial composition\\'\\'\\'
(Hispanics excluded from racial categories)
(\\'\\'NH = Non-Hispanic\\'\\'){{Cite web|title=Explore Census Data|url=https://data.census.gov/cedsci/table?g=1600000US1222975&tid=DECENNIALPL2020.P2|access-date=2022-02-08|website=data.census.gov}}\\n!Race\\n!Number\\n!Percentage\\n|-\\n|[[Non-Hispanic or Latino whites|White]] (NH)\\n|498\\n|3.81%\\n|-\\n|[[Non-Hispanic or Latino African Americans|Black or African American]] (NH)\\n|5,786\\n|44.22%\\n|-\\n|[[Native Americans in the United States|Native American]] or [[Alaska Native]] (NH)\\n|13\\n|0.10%\\n|-\\n|[[Asian Americans|Asian]] (NH)\\n|24\\n|0.18%\\n|-\\n|[[Pacific Islander Americans|Pacific Islander]] or [[Native Hawaiian]] (NH)\\n|3\\n|0.02%\\n|-\\n|[[Other races (U.S. Census)|Some Other Race]] (NH)\\n|56\\n|0.43%\\n|-\\n|[[Multiracial Americans|Two or more races/Multiracial]] (NH)\\n|182\\n|1.39%\\n|-\\n|[[Hispanic and Latino Americans|Hispanic or Latino]] (any race)\\n|6,523\\n|49.85%\\n|-\\n|\\'\\'\\'Total\\'\\'\\'\\n|\\'\\'\\'13,085\\'\\'\\'\\n|\\'\\'\\'100.00%\\'\\'\\'\\n|}\\n\\nAs of the [[2020 United States census]], there were 13,085 people, 3,050 households, and 2,247 families residing in the city.{{Cite web|title=S1101 HOUSEHOLDS AND FAMILIES - 2020: Florida City city, Florida|url=https://data.census.gov/table?q=Florida+City+city;+Florida+&tid=ACSST5Y2020.S1101|website=[[United States Census Bureau]]}}\\n\\n===2010 census===\\n{| class=\"wikitable\" style=\"float: left; margin-right: 2em; width: 35%; font-size: 75%;\"\\n!colspan=4|Florida City Demographics\\n|-\\n![[United States Census, 2010|2010 Census]]||Florida City||Miami-Dade County||Florida\\n|-\\n|Total population||11,245||2,496,435||18,801,310\\n|-\\n|Population, percent change, 2000 to 2010||+43.4%||+10.8%||+17.6%\\n|-\\n|Population density||1,888.7/sq mi||1,315.5/sq mi||350.6/sq mi\\n|-\\n|[[White (U.S. Census)|White or Caucasian]] (including [[White Hispanic]])||5.6%||?%||?%\\n|-\\n|([[Non-Hispanic Whites|Non-Hispanic White or Caucasian]])||5.6%||15.4%||57.9%\\n|-\\n|[[Black (U.S. Census)|Black or African-American]]||52.4%||18.9%||16.0%\\n|-\\n|[[Hispanic (U.S. Census)|Hispanic or Latino (of any race)]]||42.4%||65.0%||22.5%\\n|-\\n|[[Asian (U.S. Census)|Asian]]||0.3%||1.5%||2.4%\\n|-\\n|[[Native American (U.S. Census)|Native American]] or [[Native Alaskan]]||0.2%||0.2%||0.4%\\n|-\\n|[[Pacific Islander (U.S. Census)|Pacific Islander]] or [[Native Hawaiian]]||0.0%||0.0%||0.1%\\n|-\\n|[[Multiracial American|Two or more races (Multiracial)]]||2.6%||2.4%||2.5%\\n|-\\n|[[Other races (U.S. Census)|Some Other Race]]||5.4%||3.2%||3.6%\\n|}\\n\\nAs of the [[2010 United States census]], there were 11,245 people, 2,883 households, and 2,216 families residing in the city.{{Cite web|title=S1101 HOUSEHOLDS AND FAMILIES - 2010: Florida City city, Florida|url=https://data.census.gov/table?q=Florida+City+city;+Florida+&tid=ACSST5Y2010.S1101|website=[[United States Census Bureau]]}}\\n\\nBased on 2010 data, the ancestries of only the Hispanic and Latino population from highest to lowest were as follows: [[Mexican people|Mexicans]] made up the 42.52%, [[Cuban people|Cubans]] were at 19.13%, [[Central American]]s accounted for 13.37%, [[Puerto Rican people|Puerto Ricans]] totaled 12.87%, and [[South American]]s were 3.74% of all residents.{{cite web |url=http://www.usa.com/florida-city-fl-population-and-races.htm |title=Florida City, FL Population and Races |publisher=usatoday.com |access-date=2015-01-16}}\\n\\n===2000 census===\\nIn 2000, 46.5% had children under the age of 18 living with them, 35.6% were married couples living together, 34.0% had a female householder with no husband present, and 23.1% were non-families. 18.1% of all households were made up of individuals, and 6.7% had someone living alone who was 65 years of age or older. The average household size was 3.48 and the average family size was 3.95.\\n\\nIn 2000, the city population was spread out, with 39.7% under the age of 18, 11.0% from 18 to 24, 26.3% from 25 to 44, 15.8% from 45 to 64, and 7.2% who were 65 years of age or older. The median age was 24 years. For every 100 females, there were 94.7 males. For every 100 females age 18 and over, there were 89.7 males.\\n\\nIn 2000, the median income for a household in the city was $14,923, and the median income for a family was $18,777. Males had a median income of $23,622 versus $20,060 for females. The [[per capita income]] for the city was $8,270. 43.3% of the population and 41.7% of families were below the [[poverty line]]. 57.1% of those under the age of 18 and 25.6% of those 65 and older were living below the poverty line.\\n\\nAs of 2000, [[English language|English]] was spoken as a [[first language]] by 65.64% of the population, [[Spanish language|Spanish]] speakers made up 28.33% of all residents, and [[Haitian Creole|French Creole]] was spoken by 6.03% of the populace.{{cite web |url=http://www.mla.org/map_data_results&state_id=12&county_id=&mode=place&zip=&place_id=22975&cty_id=&ll=&a=&ea=&order=r |title=MLA Data Center Results of Florida City, Fla. |publisher=[[Modern Language Association]] |access-date=2007-11-03}}\\n\\n===Crime===\\nAs of 2020, Florida City was rated as the number one \"most dangerous\" city in the state of Florida. Within a population of 11,826, it had a violent crime rate of 2,908.8 per 100,000. The poverty rate of the city was listed at 14%.{{Cite web|url=https://www.msn.com/en-us/money/realestate/25-most-dangerous-cities-in-florida/ss-AAQMh4q#image=26|title = 25 Most Dangerous Cities in Florida|website = [[MSN]]}}\\n\\n==Government and infrastructure==\\nThe [[Florida Department of Corrections]] operates the [[Dade Correctional Institution]] and the [[Homestead Correctional Institution]] in an [[unincorporated area]] near Florida City.\"[http://nl.newsbank.com/nl-search/we/Archives?p_product=MH&s_site=miami&p_multi=MH&p_theme=realcities&p_action=search&p_maxdocs=200&p_topdoc=1&p_text_direct-0=0EB5D36377DE75DD&p_field_direct-0=document_id&p_perpage=10&p_sort=YMD_date:D&s_trackval=GooglePM STATE\\'S PRISON INMATES SHUFFLED MOVES BENEFIT FEMALE PRISONERS].\" \\'\\'[[Miami Herald]]\\'\\'. August 12, 1999. B1. Broward. Retrieved on May 15, 2010. \"Nearly 500 male youthful offenders at Dade Correctional Institution in Florida City...\"\"[http://www.dc.state.fl.us/facilities/region4/463.html Dade Correctional Institution] {{Webarchive|url=https://web.archive.org/web/20100428033554/http://www.dc.state.fl.us/facilities/region4/463.html |date=April 28, 2010 }}.\" [[Florida Department of Corrections]]. Retrieved on May 15, 2010.\"[http://www.dc.state.fl.us/facilities/region4/419.html Homestead Correctional Institution] {{Webarchive|url=https://web.archive.org/web/20100528232506/http://www.dc.state.fl.us/facilities/region4/419.html |date=May 28, 2010 }}.\" [[Florida Department of Corrections]]. Retrieved on May 15, 2010.\"[http://nl.newsbank.com/nl-search/we/Archives?p_product=BH&s_site=bradenton&p_multi=BH&p_theme=realcities&p_action=search&p_maxdocs=200&p_topdoc=1&p_text_direct-0=1032A45263CBEE84&p_field_direct-0=document_id&p_perpage=10&p_sort=YMD_date:D&s_trackval=GooglePM THEFT CHARGE PUTS CORDES BACK IN COURT].\" \\'\\'[[Bradenton Herald]]\\'\\'. June 10, 2004. 1C Local & State. Retrieved on May 15, 2010. \"Jackie Postma who was convicted of seconddegree murder is serving her sentence at Homestead Correctional Institution in Florida City just south of Miami.\" The Dade CI was originally the Dade Correctional Institution Annex, and the Homestead CI was originally the Dade Correctional Institution; the two received their current names on July 1, 2003.\"[http://www.dc.state.fl.us/pub/annual/0203/pdfs/facilities.pdf FACILITIES ON JUNE 30, 2003] {{Webarchive|url=https://web.archive.org/web/20120229161226/http://www.dc.state.fl.us/pub/annual/0203/pdfs/facilities.pdf |date=February 29, 2012 }}.\" [[Florida Department of Corrections]]. Retrieved on May 15, 2010.\\n\\nThe [[United States Postal Service]] operates the Florida City Post Office.\"[http://usps.whitepages.com/service/post_office/florida-city-1000-w-palm-dr-homestead-fl-1438681 Post Office Location - FLORIDA CITY] {{Webarchive|url=https://web.archive.org/web/20100512080124/http://usps.whitepages.com/service/post_office/florida-city-1000-w-palm-dr-homestead-fl-1438681 |date=2010-05-12 }}.\" [[United States Postal Service]]. Retrieved on May 15, 2010.\\n\\n==Education==\\nFlorida City is a part of the [[Miami-Dade County Public Schools]] system.\\n\\nFlorida City is zoned to:\\n* Florida City Elementary School (Florida City)\\n* Homestead Middle School ([[Homestead, Florida|Homestead]])\\n* [[Homestead High School (Homestead, Florida)|Homestead High School]] (Homestead)\\n\\nIn addition [[Rise Academy-South Dade Charter School]] is in the area.{{Cite web |url=http://www.riseschools.org/ |title=Rise Schools |access-date=2019-12-17 |archive-url=https://web.archive.org/web/20090614081327/http://riseschools.org/ |archive-date=2009-06-14 |url-status=dead }}\\n\\nFlorida City also has the following [[Charter School]]s:\\n* Lawrence Academy Charter\\n* Lincoln Marti International Campus\\n* Miami Community Charter\\n\\n==Climate==\\nThe [[Köppen Climate Classification]] sub-type for this climate is \"[[Tropical savanna climate|Aw]]\". (Tropical Savanna Climate) with long, hot summers and short, warm winters.[http://www.weatherbase.com/weather/weather-summary.php3?s=67780&cityname=Florida+City%2C+Florida%2C+United+States+of+America&units= Climate Summary for Florida City, FL]\\n{{Weather box\\n|location = Florida City\\n|single line = Yes\\n|Jan high F = 78\\n|Feb high F = 80\\n|Mar high F = 82\\n|Apr high F = 85\\n|May high F = 88\\n|Jun high F = 90\\n|Jul high F = 91\\n|Aug high F = 92\\n|Sep high F = 90\\n|Oct high F = 87\\n|Nov high F = 83\\n|Dec high F = 79\\n|year high F = 85\\n|Jan low F = 54\\n|Feb low F = 56\\n|Mar low F = 58\\n|Apr low F = 61\\n|May low F = 66\\n|Jun low F = 71\\n|Jul low F = 73\\n|Aug low F = 73\\n|Sep low F = 73\\n|Oct low F = 69\\n|Nov low F = 63\\n|Dec low F = 57\\n|year low F = 65\\n|Jan precipitation inch = 1.6\\n|Feb precipitation inch = 1.8\\n|Mar precipitation inch = 2\\n|Apr precipitation inch = 2.7\\n|May precipitation inch = 5.9\\n|Jun precipitation inch = 9.1\\n|Jul precipitation inch = 7\\n|Aug precipitation inch = 8.1\\n|Sep precipitation inch = 8.7\\n|Oct precipitation inch = 5.5\\n|Nov precipitation inch = 2.3\\n|Dec precipitation inch = 1.4\\n|year precipitation inch = 56.1\\n|source 1 = Weatherbase \\n{{cite web\\n|url =http://www.weatherbase.com/weather/weather.php3?s=67780&cityname=Florida-City-Florida\\n|publisher=Weatherbase\\n|title=Weatherbase.com\\n|year=2013\\n}}\\nRetrieved on August 2, 2013.\\n\\n|date=August 2013\\n}}\\n\\n==Notable people==\\n* [[James Burgess (American football, born 1994)|James Burgess]], American football player\\n* [[Rashad Smith (American football)|Rashad Smith]], American football player\\n* [[Sean Taylor]], American Football Player\\n* [[Glenn Simmons]], outdoorsman and guide\\n\\n==References==\\n{{reflist}}\\n\\n==External links==\\n{{Wikivoyage|Florida City}}\\n* {{Official|www.floridacityfl.gov}}\\n* [http://www.floridacityes.org/ Florida City Elementary School]\\n\\n{{Geographic location\\n| Northwest = Unincorporated [[Miami-Dade County, Florida|Miami-Dade County]]\\n| North = [[Homestead, Florida|Homestead]]\\n| Northeast = [[Homestead, Florida|Homestead]]\\n| West = Unincorporated [[Miami-Dade County, Florida|Miami-Dade County]]\\n| Center = Florida City\\n| East = [[Homestead, Florida|Homestead]]\\n| Southwest =Unincorporated [[Miami-Dade County, Florida|Miami-Dade County]]\\n| South = Unincorporated [[Miami-Dade County, Florida|Miami-Dade County]]\\n| Southeast = Unincorporated [[Miami-Dade County, Florida|Miami-Dade County]]\\n}}\\n{{Dade County, Florida}}\\n{{authority control}}\\n\\n[[Category:Florida City, Florida| ]]\\n[[Category:Cities in Miami-Dade County, Florida]]\\n[[Category:Populated places established in 1914]]\\n[[Category:Cities in Florida]]\\n[[Category:Cities in Miami metropolitan area]]\\n[[Category:1914 establishments in Florida]]'}}" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "api.open_get_entity(\"Florida City, Florida\")" ] }, { "cell_type": "code", "execution_count": 4, "id": "d21bf052-cbb5-4b28-a3b6-72901318eed8", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "{'result': [{'acted_movies': [137113],\n", " 'id': 2949449,\n", " 'birthday': None,\n", " 'name': 'Jackson'},\n", " {'acted_movies': [454293],\n", " 'id': 2669821,\n", " 'birthday': None,\n", " 'name': 'Noelle Jackson'},\n", " {'acted_movies': [78192, 616815, 622146, 893018, 1226841],\n", " 'id': 992668,\n", " 'birthday': '1953-10-15',\n", " 'name': 'Tito Jackson'},\n", " {'acted_movies': [109410, 19912, 118612, 15670, 14047, 84653, 152023],\n", " 'id': 94429,\n", " 'birthday': None,\n", " 'name': 'Jackson Walker'},\n", " {'acted_movies': [7453, 682377, 208295, 890280, 991642],\n", " 'id': 53352,\n", " 'birthday': '1991-12-03',\n", " 'name': 'Dominique Jackson'},\n", " {'acted_movies': [12107,\n", " 508003,\n", " 8291,\n", " 75009,\n", " 35688,\n", " 17202,\n", " 44944,\n", " 622146,\n", " 23756,\n", " 120406,\n", " 131246,\n", " 1037102,\n", " 695874,\n", " 851629,\n", " 893018,\n", " 1050238,\n", " 1081735],\n", " 'id': 54421,\n", " 'birthday': '1966-05-16',\n", " 'name': 'Janet Jackson'},\n", " {'acted_movies': [13, 523518],\n", " 'id': 1465241,\n", " 'birthday': None,\n", " 'name': 'Lazarus Jackson'},\n", " {'acted_movies': [505444],\n", " 'id': 3077816,\n", " 'birthday': None,\n", " 'name': 'Jackson Blairwest'},\n", " {'acted_movies': [12483, 87496],\n", " 'id': 1185258,\n", " 'birthday': None,\n", " 'name': 'Jackson Warris'},\n", " {'acted_movies': [653364,\n", " 158762,\n", " 45888,\n", " 420476,\n", " 1246860,\n", " 718838,\n", " 869935,\n", " 944194],\n", " 'id': 115573,\n", " 'oscar_awards': [{'year_ceremony': 1971,\n", " 'ceremony': 43,\n", " 'category': 'ACTRESS',\n", " 'name': 'Glenda Jackson',\n", " 'film': 'Women in Love',\n", " 'winner': True},\n", " {'year_ceremony': 1972,\n", " 'ceremony': 44,\n", " 'category': 'ACTRESS',\n", " 'name': 'Glenda Jackson',\n", " 'film': 'Sunday Bloody Sunday',\n", " 'winner': False},\n", " {'year_ceremony': 1974,\n", " 'ceremony': 46,\n", " 'category': 'ACTRESS',\n", " 'name': 'Glenda Jackson',\n", " 'film': 'A Touch of Class',\n", " 'winner': True},\n", " {'year_ceremony': 1976,\n", " 'ceremony': 48,\n", " 'category': 'ACTRESS',\n", " 'name': 'Glenda Jackson',\n", " 'film': 'Hedda',\n", " 'winner': False}],\n", " 'birthday': '1936-05-09',\n", " 'name': 'Glenda Jackson'}]}" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "api.movie_get_person_info(\"Jackson\")" ] }, { "cell_type": "code", "execution_count": 5, "id": "6fb246d0-7ebc-47d1-a868-2a173d529841", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "{'result': [{'budget': 25000000,\n", " 'genres': [{'id': 27, 'name': 'Horror'}],\n", " 'id': 14564,\n", " 'original_language': 'en',\n", " 'original_title': 'Rings',\n", " 'release_date': '2017-02-01',\n", " 'revenue': 83080890,\n", " 'title': 'Rings',\n", " 'cast': [{'gender': 1,\n", " 'id': 1464589,\n", " 'name': 'Matilda Lutz',\n", " 'character': 'Julia',\n", " 'order': 0},\n", " {'gender': 2,\n", " 'id': 1167375,\n", " 'name': 'Alex Roe',\n", " 'character': 'Holt Anthony',\n", " 'order': 1},\n", " {'gender': 2,\n", " 'id': 16478,\n", " 'name': 'Johnny Galecki',\n", " 'character': 'Gabriel Brown',\n", " 'order': 2},\n", " {'gender': 2,\n", " 'id': 7132,\n", " 'name': \"Vincent D'Onofrio\",\n", " 'character': 'Galen Burke',\n", " 'order': 3},\n", " {'gender': 1,\n", " 'id': 145836,\n", " 'name': 'Aimee Teegarden',\n", " 'character': 'Skye Johnston',\n", " 'order': 4},\n", " {'gender': 1,\n", " 'id': 58517,\n", " 'name': 'Bonnie Morgan',\n", " 'character': 'Samara Morgan',\n", " 'order': 5},\n", " {'gender': 2,\n", " 'id': 1502945,\n", " 'name': 'Chuck David Willis',\n", " 'character': 'Blue',\n", " 'order': 6},\n", " {'gender': 2,\n", " 'id': 1635137,\n", " 'name': 'Patrick Walker',\n", " 'character': 'Jamal',\n", " 'order': 7},\n", " {'gender': 2,\n", " 'id': 221841,\n", " 'name': 'Zach Roerig',\n", " 'character': 'Carter',\n", " 'order': 8},\n", " {'gender': 1,\n", " 'id': 439253,\n", " 'name': 'Laura Slade Wiggins',\n", " 'character': 'Faith',\n", " 'order': 9},\n", " {'gender': 1,\n", " 'id': 84432,\n", " 'name': 'Lizzie Brocheré',\n", " 'character': 'Kelly',\n", " 'order': 10},\n", " {'gender': 0,\n", " 'id': 1386131,\n", " 'name': 'Drew Grey',\n", " 'character': 'Sam',\n", " 'order': 11},\n", " {'gender': 1,\n", " 'id': 1731341,\n", " 'name': 'Kayli Carter',\n", " 'character': 'Evelyn Borden',\n", " 'order': 12},\n", " {'gender': 1,\n", " 'id': 196843,\n", " 'name': 'Jill Jane Clements',\n", " 'character': 'Karen Styx',\n", " 'order': 13},\n", " {'gender': 1,\n", " 'id': 1731344,\n", " 'name': 'Andrea Laing',\n", " 'character': 'Libby',\n", " 'order': 14},\n", " {'gender': 1,\n", " 'id': 1731337,\n", " 'name': 'Surely Alvelo',\n", " 'character': 'Shanda',\n", " 'order': 15},\n", " {'gender': 2,\n", " 'id': 1287005,\n", " 'name': 'Adam Fristoe',\n", " 'character': 'Chris',\n", " 'order': 16},\n", " {'gender': 1,\n", " 'id': 106949,\n", " 'name': 'Andrea Powell',\n", " 'character': \"Julia's Mom\",\n", " 'order': 17},\n", " {'gender': 2,\n", " 'id': 1227437,\n", " 'name': 'Michael Sanders',\n", " 'character': 'Capt. J Forsett',\n", " 'order': 18},\n", " {'gender': 2,\n", " 'id': 1622086,\n", " 'name': 'Chris Greene',\n", " 'character': 'Officer Gonzalez',\n", " 'order': 19}],\n", " 'crew': [{'name': 'Debra Zane', 'job': 'Casting', 'id': 495},\n", " {'name': 'Chris Bender', 'job': 'Executive Producer', 'id': 298},\n", " {'name': 'Walter F. Parkes', 'job': 'Producer', 'id': 2212},\n", " {'name': 'Neal Edelstein', 'job': 'Executive Producer', 'id': 5625},\n", " {'name': 'Akiva Goldsman', 'job': 'Screenplay', 'id': 5575},\n", " {'name': 'Meg Everist', 'job': 'Set Decoration', 'id': 6412},\n", " {'name': 'Ehren Kruger', 'job': 'Executive Producer', 'id': 15244},\n", " {'name': 'Laurie MacDonald', 'job': 'Producer', 'id': 8701},\n", " {'name': 'Steve Mirkovich', 'job': 'Editor', 'id': 8751},\n", " {'name': 'Lenny Vullo', 'job': 'Production Manager', 'id': 10398},\n", " {'name': 'Marc Fishman', 'job': 'Sound Re-Recording Mixer', 'id': 13177},\n", " {'name': 'Tony Lamberti', 'job': 'Sound Re-Recording Mixer', 'id': 13179},\n", " {'name': 'Keith Campbell', 'job': 'Stunt Coordinator', 'id': 15318},\n", " {'name': 'Kevin Kavanaugh', 'job': 'Production Design', 'id': 15328},\n", " {'name': 'Naaman Marshall',\n", " 'job': 'Supervising Art Director',\n", " 'id': 17677},\n", " {'name': 'J.C. Spink', 'job': 'Executive Producer', 'id': 20223},\n", " {'name': 'Roy Lee', 'job': 'Executive Producer', 'id': 21036},\n", " {'name': \"Jeremiah O'Driscoll\", 'job': 'Editor', 'id': 23781},\n", " {'name': 'Kôji Suzuki', 'job': 'Novel', 'id': 27786},\n", " {'name': 'Sharone Meir', 'job': 'Director of Photography', 'id': 53181},\n", " {'name': 'Dawn Fintor', 'job': 'Foley Artist', 'id': 113045},\n", " {'name': 'Alicia Stevenson', 'job': 'Foley Artist', 'id': 113090},\n", " {'name': 'Mike Macari', 'job': 'Executive Producer', 'id': 63984},\n", " {'name': 'David Loucka', 'job': 'Screenplay', 'id': 68039},\n", " {'name': 'David Loucka', 'job': 'Story', 'id': 68039},\n", " {'name': 'Jacob Aaron Estes', 'job': 'Screenplay', 'id': 72034},\n", " {'name': 'Jacob Aaron Estes', 'job': 'Story', 'id': 72034},\n", " {'name': 'Bob Shelley', 'job': 'Special Effects Coordinator', 'id': 74783},\n", " {'name': 'Brian Relyea', 'job': 'First Assistant Director', 'id': 75379},\n", " {'name': 'Chris Silver Finigan',\n", " 'job': 'Production Accountant',\n", " 'id': 91931},\n", " {'name': 'F. Javier Gutiérrez', 'job': 'Director', 'id': 94403},\n", " {'name': 'Bart Mixon', 'job': 'Makeup Effects', 'id': 104028},\n", " {'name': 'Joy Ellison', 'job': 'Dialect Coach', 'id': 165734},\n", " {'name': 'Arjen Tuiten', 'job': 'Makeup Effects Designer', 'id': 229811},\n", " {'name': 'Christopher Peterson', 'job': 'Costume Design', 'id': 582807},\n", " {'name': 'Matthew Margeson',\n", " 'job': 'Original Music Composer',\n", " 'id': 969021},\n", " {'name': 'Kevin McKeever', 'job': 'Music Editor', 'id': 1027022},\n", " {'name': 'Bill Sturgeon', 'job': 'Makeup Effects Designer', 'id': 1286358},\n", " {'name': 'Sam Restivo', 'job': 'First Assistant Editor', 'id': 1333160},\n", " {'name': 'Hartsell Taylor', 'job': 'Costume Supervisor', 'id': 1333607},\n", " {'name': 'Chris Terhune', 'job': 'Sound Effects Editor', 'id': 1338484},\n", " {'name': 'Lisa Reynolds', 'job': 'Special Effects', 'id': 1339427},\n", " {'name': 'John Marquis', 'job': 'Sound Designer', 'id': 1345594},\n", " {'name': 'Chase Paris', 'job': 'Local Casting', 'id': 1345610},\n", " {'name': 'Tara Feldstein Bennett', 'job': 'Casting', 'id': 1345611},\n", " {'name': 'Maida N. Morgan', 'job': 'Location Manager', 'id': 1355973},\n", " {'name': 'David V. Butler', 'job': 'Dialogue Editor', 'id': 1357059},\n", " {'name': 'David V. Butler', 'job': 'ADR Editor', 'id': 1357059},\n", " {'name': 'Thomas Tannenberger',\n", " 'job': 'Visual Effects Producer',\n", " 'id': 1358022},\n", " {'name': 'Dane Allan Smith',\n", " 'job': 'Visual Effects Producer',\n", " 'id': 1386918},\n", " {'name': 'Bob Gorelick', 'job': 'Steadicam Operator', 'id': 1395281},\n", " {'name': 'Jennifer Badger', 'job': 'Stunt Driver', 'id': 1399126},\n", " {'name': 'Amy Pawlowski',\n", " 'job': 'Digital Intermediate Editor',\n", " 'id': 1400354},\n", " {'name': 'Kira Roessler', 'job': 'Dialogue Editor', 'id': 1404718},\n", " {'name': 'Stephanie Lowry', 'job': 'Music Editor', 'id': 1409877},\n", " {'name': 'Kelly E. 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Hooker', 'job': 'Supervising Sound Editor', 'id': 1451992},\n", " {'name': 'Mark Powers', 'job': 'Animation', 'id': 1455534},\n", " {'name': 'Nikki Sass', 'job': 'Set Dresser', 'id': 1469387},\n", " {'name': 'Elizabeth Rainey', 'job': 'Foley', 'id': 1532614},\n", " {'name': 'Diane Durant', 'job': 'Script Supervisor', 'id': 1533038},\n", " {'name': 'Sarah Downer', 'job': 'Key Costumer', 'id': 1533086},\n", " {'name': 'Elan Yaari', 'job': 'Chief Lighting Technician', 'id': 1533530},\n", " {'name': 'Gary Edelman',\n", " 'job': 'Transportation Coordinator',\n", " 'id': 1538447},\n", " {'name': 'Andrew Silver', 'job': 'Music Editor', 'id': 1546457},\n", " {'name': 'Andrew Silver',\n", " 'job': 'Supervising Music Editor',\n", " 'id': 1546457},\n", " {'name': 'Aaron Sowd', 'job': 'Storyboard Artist', 'id': 1549218},\n", " {'name': 'Quantrell D. Colbert',\n", " 'job': 'Still Photographer',\n", " 'id': 1560972},\n", " {'name': 'Dan Charbit', 'job': 'Visual Effects Supervisor', 'id': 1569340},\n", " {'name': 'John Moredock', 'job': 'Set Designer', 'id': 1580943},\n", " {'name': 'Sara Cobbeldick', 'job': 'Set Costumer', 'id': 1580964},\n", " {'name': 'Ed White', 'job': 'Sound Mixer', 'id': 1612788},\n", " {'name': 'Natasha Leonnet', 'job': 'Digital Intermediate', 'id': 1634460},\n", " {'name': 'Kelly Bellini', 'job': 'Stunt Double', 'id': 1635195},\n", " {'name': 'Carole-Anne Hébert',\n", " 'job': 'Visual Effects Coordinator',\n", " 'id': 1637293},\n", " {'name': 'Cynthia Mourou',\n", " 'job': 'Visual Effects Producer',\n", " 'id': 1637298},\n", " {'name': 'Margaux Susi', 'job': 'Casting Assistant', 'id': 1660709},\n", " {'name': 'Dylan Jury', 'job': 'Casting Associate', 'id': 1660711},\n", " {'name': 'Ryan Bradley', 'job': 'Animation', 'id': 1713277},\n", " {'name': 'Mélissa Massé',\n", " 'job': 'Visual Effects Coordinator',\n", " 'id': 1724965},\n", " {'name': 'Michelle Sink Langford',\n", " 'job': 'Art Department Coordinator',\n", " 'id': 1737614},\n", " {'name': 'Karen A. Felix', 'job': 'Property Master', 'id': 1737615},\n", " {'name': 'Marlow Sanchez',\n", " 'job': 'Construction Coordinator',\n", " 'id': 1737616},\n", " {'name': 'Greg Tresan', 'job': 'Animal Coordinator', 'id': 1737622},\n", " {'name': 'Greg Tresan', 'job': 'Animal Wrangler', 'id': 1737622},\n", " {'name': 'Colleen Ehrlich',\n", " 'job': 'Assistant Costume Designer',\n", " 'id': 1737626},\n", " {'name': 'Keith Hudson', 'job': 'Ager/Dyer', 'id': 1737627},\n", " {'name': 'Sara Pope', 'job': 'Tailor', 'id': 1737629},\n", " {'name': 'Chris D. 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'Foley Mixer', 'id': 1737660},\n", " {'name': 'Kim Perrodin', 'job': 'Key Makeup Artist', 'id': 1737666},\n", " {'name': 'Kurt Peterson', 'job': 'Boom Operator', 'id': 1738166},\n", " {'name': 'Tracie Morrison', 'job': 'Hairstylist', 'id': 1761878},\n", " {'name': 'Dave Wilson', 'job': 'ADR Voice Casting', 'id': 1773870},\n", " {'name': 'Alizée Plourde',\n", " 'job': 'Visual Effects Coordinator',\n", " 'id': 1790957},\n", " {'name': 'Jayme Leach Long', 'job': 'Set Designer', 'id': 1822757},\n", " {'name': 'Malinda Shelley', 'job': 'Special Effects', 'id': 1822827},\n", " {'name': 'Greg Pruett', 'job': 'Special Effects', 'id': 1822829},\n", " {'name': 'Donny Eidson', 'job': 'Special Effects', 'id': 1822832},\n", " {'name': 'Budd Lower', 'job': 'Special Effects', 'id': 1822834},\n", " {'name': 'Zach Dunlap', 'job': 'Lighting Technician', 'id': 1822836},\n", " {'name': 'Eric Rick Kline', 'job': 'Grip', 'id': 1822838},\n", " {'name': 'Oren Malik', 'job': 'Loader', 'id': 1822840},\n", " {'name': 'Carol Tresan', 'job': 'Animal Wrangler', 'id': 1825139},\n", " {'name': \"David 'Rudy' Grossman\", 'job': 'CGI Supervisor', 'id': 1929023},\n", " {'name': 'Lucas Glashoff',\n", " 'job': 'Visual Effects Coordinator',\n", " 'id': 2068492},\n", " {'name': 'Jacqueline Hagerty',\n", " 'job': 'Visual Effects Coordinator',\n", " 'id': 2068493},\n", " {'name': 'Craig Gilmore', 'job': 'Storyboard Artist', 'id': 2072492},\n", " {'name': 'David Waters',\n", " 'job': 'Second Assistant Director',\n", " 'id': 2137392},\n", " {'name': 'Rick Roesch', 'job': 'Payroll Accountant', 'id': 2219102},\n", " {'name': 'Heather Morris', 'job': 'Hair Department Head', 'id': 2439074},\n", " {'name': 'Ashley Rae Trisler', 'job': 'Utility Stunts', 'id': 2463201},\n", " {'name': 'Jake Koenig', 'job': 'Grip', 'id': 2666790}],\n", " 'rating': 4.966,\n", " 'length': 102},\n", " {'budget': 79000000,\n", " 'genres': [{'id': 12, 'name': 'Adventure'},\n", " {'id': 14, 'name': 'Fantasy'},\n", " {'id': 28, 'name': 'Action'}],\n", " 'id': 121,\n", " 'original_language': 'en',\n", " 'original_title': 'The Lord of the Rings: The Two Towers',\n", " 'release_date': '2002-12-18',\n", " 'revenue': 926287400,\n", " 'title': 'The Lord of the Rings: The Two Towers',\n", " 'cast': [{'gender': 2,\n", " 'id': 109,\n", " 'name': 'Elijah Wood',\n", " 'character': 'Frodo Baggins',\n", " 'order': 0},\n", " {'gender': 2,\n", " 'id': 1328,\n", " 'name': 'Sean Astin',\n", " 'character': 'Samwise Gamgee',\n", " 'order': 1},\n", " {'gender': 2,\n", " 'id': 1333,\n", " 'name': 'Andy Serkis',\n", " 'character': 'Gollum / Smeagol',\n", " 'order': 2},\n", " {'gender': 2,\n", " 'id': 110,\n", " 'name': 'Viggo Mortensen',\n", " 'character': 'Aragorn',\n", " 'order': 3},\n", " {'gender': 2,\n", " 'id': 1327,\n", " 'name': 'Ian McKellen',\n", " 'character': 'Gandalf',\n", " 'order': 4},\n", " {'gender': 2,\n", " 'id': 1369,\n", " 'name': 'Bernard Hill',\n", " 'character': 'Théoden',\n", " 'order': 5},\n", " {'gender': 2,\n", " 'id': 1330,\n", " 'name': 'Dominic Monaghan',\n", " 'character': 'Meriadoc \"Merry\" Brandybuck',\n", " 'order': 6},\n", " {'gender': 2,\n", " 'id': 1329,\n", " 'name': 'Billy Boyd',\n", " 'character': 'Peregrin \"Pippin\" Took',\n", " 'order': 7},\n", " {'gender': 2,\n", " 'id': 655,\n", " 'name': 'John Rhys-Davies',\n", " 'character': 'Gimli / Treebeard (voice)',\n", " 'order': 8},\n", " {'gender': 2,\n", " 'id': 114,\n", " 'name': 'Orlando Bloom',\n", " 'character': 'Legolas',\n", " 'order': 9},\n", " {'gender': 2,\n", " 'id': 113,\n", " 'name': 'Christopher Lee',\n", " 'character': 'Saruman',\n", " 'order': 10},\n", " {'gender': 1,\n", " 'id': 502,\n", " 'name': 'Miranda Otto',\n", " 'character': 'Éowyn',\n", " 'order': 11},\n", " {'gender': 2,\n", " 'id': 1371,\n", " 'name': 'David Wenham',\n", " 'character': 'Faramir',\n", " 'order': 12},\n", " {'gender': 2,\n", " 'id': 1370,\n", " 'name': 'Brad Dourif',\n", " 'character': 'Gríma',\n", " 'order': 13},\n", " {'gender': 2,\n", " 'id': 1372,\n", " 'name': 'Karl Urban',\n", " 'character': 'Éomer',\n", " 'order': 14},\n", " {'gender': 1,\n", " 'id': 882,\n", " 'name': 'Liv Tyler',\n", " 'character': 'Arwen',\n", " 'order': 15},\n", " {'gender': 1,\n", " 'id': 112,\n", " 'name': 'Cate Blanchett',\n", " 'character': 'Galadriel',\n", " 'order': 16},\n", " {'gender': 2,\n", " 'id': 1331,\n", " 'name': 'Hugo Weaving',\n", " 'character': 'Elrond',\n", " 'order': 17},\n", " {'gender': 2,\n", " 'id': 1332,\n", " 'name': 'Craig Parker',\n", " 'character': 'Haldir',\n", " 'order': 18},\n", " {'gender': 2,\n", " 'id': 173431,\n", " 'name': 'Bruce Allpress',\n", " 'character': 'Aldor',\n", " 'order': 19},\n", " {'gender': 2,\n", " 'id': 29094,\n", " 'name': 'John Bach',\n", " 'character': 'Madril',\n", " 'order': 20},\n", " {'gender': 2,\n", " 'id': 1366,\n", " 'name': 'Sala Baker',\n", " 'character': 'Man Flesh Uruk',\n", " 'order': 21},\n", " {'gender': 2,\n", " 'id': 173451,\n", " 'name': 'Jed Brophy',\n", " 'character': 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'job': 'Stunts', 'id': 3499452},\n", " {'name': 'Nerina Labuschagne', 'job': 'Stunts', 'id': 3499453}],\n", " 'rating': 7.306,\n", " 'length': 122},\n", " {'budget': 0,\n", " 'genres': [{'id': 10770, 'name': 'TV Movie'},\n", " {'id': 18, 'name': 'Drama'},\n", " {'id': 35, 'name': 'Comedy'}],\n", " 'id': 425640,\n", " 'original_language': 'en',\n", " 'original_title': 'Lord of Misrule',\n", " 'release_date': '1996-05-06',\n", " 'revenue': 0,\n", " 'title': 'Lord of Misrule',\n", " 'cast': [{'gender': 2,\n", " 'id': 47874,\n", " 'name': 'Richard Wilson',\n", " 'character': '',\n", " 'order': 0},\n", " {'gender': 1,\n", " 'id': 1246,\n", " 'name': 'Emily Mortimer',\n", " 'character': '',\n", " 'order': 1},\n", " {'gender': 2,\n", " 'id': 32203,\n", " 'name': 'Stephen Moyer',\n", " 'character': '',\n", " 'order': 2},\n", " {'gender': 2,\n", " 'id': 47632,\n", " 'name': 'Rob Brydon',\n", " 'character': '',\n", " 'order': 3},\n", " {'gender': 1,\n", " 'id': 55643,\n", " 'name': 'Prunella 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"api.finance_get_eps(\"META\")" ] }, { "cell_type": "code", "execution_count": 16, "id": "ce6512ca-5abb-4974-a717-f5e9169c44de", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "{'result': 21.199127}" ] }, "execution_count": 16, "metadata": {}, "output_type": "execute_result" } ], "source": [ "api.finance_get_pe_ratio(\"META\")" ] }, { "cell_type": "code", "execution_count": 17, "id": "f48d601f-07df-4d5e-a365-32348222accd", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "{'result': {'address1': '1 Meta Way',\n", " 'city': 'Menlo Park',\n", " 'state': 'CA',\n", " 'zip': '94025',\n", " 'country': 'United States',\n", " 'phone': '650 543 4800',\n", " 'website': 'https://investor.fb.com',\n", " 'industry': 'Internet Content & Information',\n", " 'industryKey': 'internet-content-information',\n", " 'industryDisp': 'Internet Content & Information',\n", " 'sector': 'Communication Services',\n", " 'sectorKey': 'communication-services',\n", " 'sectorDisp': 'Communication Services',\n", " 'longBusinessSummary': 'Meta Platforms, Inc. engages in the development of products that enable people to connect and share with friends and family through mobile devices, personal computers, virtual reality headsets, and wearables worldwide. It operates in two segments, Family of Apps and Reality Labs. The Family of Apps segment offers Facebook, which enables people to share, discuss, discover, and connect with interests; Instagram, a community for sharing photos, videos, and private messages, as well as feed, stories, reels, video, live, and shops; Messenger, a messaging application for people to connect with friends, family, communities, and businesses across platforms and devices through text, audio, and video calls; and WhatsApp, a messaging application that is used by people and businesses to communicate and transact privately. The Reality Labs segment provides augmented and virtual reality related products comprising consumer hardware, software, and content that help people feel connected, anytime, and anywhere. The company was formerly known as Facebook, Inc. and changed its name to Meta Platforms, Inc. in October 2021. The company was incorporated in 2004 and is headquartered in Menlo Park, California',\n", " 'fullTimeEmployees': 67317,\n", " 'companyOfficers': [{'maxAge': 1,\n", " 'name': 'Mr. Mark Elliot Zuckerberg',\n", " 'age': 39,\n", " 'title': 'Founder, Chairman & CEO',\n", " 'yearBorn': 1984,\n", " 'fiscalYear': 2022,\n", " 'totalPay': 27110418,\n", " 'exercisedValue': 0,\n", " 'unexercisedValue': 0},\n", " {'maxAge': 1,\n", " 'name': 'Ms. Susan J. S. 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8.134698,\n", " 'lastFiscalYearEnd': 1703980800,\n", " 'nextFiscalYearEnd': 1735603200,\n", " 'mostRecentQuarter': 1703980800,\n", " 'earningsQuarterlyGrowth': 2.012,\n", " 'netIncomeToCommon': 39097999360,\n", " 'trailingEps': 14.85,\n", " 'forwardEps': 22.95,\n", " 'pegRatio': 0.93,\n", " 'enterpriseToRevenue': 9.001,\n", " 'enterpriseToEbitda': 20.175,\n", " '52WeekChange': 1.8084996,\n", " 'SandP52WeekChange': 0.28516293,\n", " 'lastDividendValue': 0.5,\n", " 'lastDividendDate': 1708473600,\n", " 'exchange': 'NMS',\n", " 'quoteType': 'EQUITY',\n", " 'symbol': 'META',\n", " 'underlyingSymbol': 'META',\n", " 'shortName': 'Meta Platforms, Inc.',\n", " 'longName': 'Meta Platforms, Inc.',\n", " 'firstTradeDateEpochUtc': 1337347800,\n", " 'timeZoneFullName': 'America/New_York',\n", " 'timeZoneShortName': 'EST',\n", " 'uuid': 'e59f1c4f-b1aa-3d70-a8c3-eb59ff3e461b',\n", " 'messageBoardId': 'finmb_20765463',\n", " 'gmtOffSetMilliseconds': -18000000,\n", " 'currentPrice': 486.52,\n", " 'targetHighPrice': 575.0,\n", " 'targetLowPrice': 245.0,\n", " 'targetMeanPrice': 504.54,\n", " 'targetMedianPrice': 525.0,\n", " 'recommendationMean': 1.9,\n", " 'recommendationKey': 'buy',\n", " 'numberOfAnalystOpinions': 54,\n", " 'totalCash': 65402998784,\n", " 'totalCashPerShare': 25.654,\n", " 'ebitda': 60183998464,\n", " 'totalDebt': 37923999744,\n", " 'quickRatio': 2.552,\n", " 'currentRatio': 2.671,\n", " 'totalRevenue': 134901997568,\n", " 'debtToEquity': 24.76,\n", " 'revenuePerShare': 52.409,\n", " 'returnOnAssets': 0.14748,\n", " 'returnOnEquity': 0.28039,\n", " 'freeCashflow': 31726000128,\n", " 'operatingCashflow': 71112998912,\n", " 'earningsGrowth': 2.002,\n", " 'revenueGrowth': 0.247,\n", " 'grossMargins': 0.80722,\n", " 'ebitdaMargins': 0.44612998,\n", " 'operatingMargins': 0.40727,\n", " 'financialCurrency': 'USD',\n", " 'trailingPegRatio': 1.1078}}" ] }, "execution_count": 17, "metadata": {}, "output_type": "execute_result" } ], "source": [ "api.finance_get_info(\"META\")" ] }, { "cell_type": "code", "execution_count": 18, "id": "cf078d42-b39b-4633-abad-15406f8226e2", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "{'result': ['Lady Gaga',\n", " 'Ga-Ga',\n", " 'Gaga',\n", " 'El Gaga',\n", " 'Gaga Dilo',\n", " 'GAGA Dimantha',\n", " 'Gaga Girls',\n", " 'Lady',\n", " 'LADY',\n", " '.lady.']}" ] }, "execution_count": 18, "metadata": {}, "output_type": "execute_result" } ], "source": [ "api.music_search_artist_entity_by_name(\"lady gaga\")" ] }, { "cell_type": "code", "execution_count": 19, "id": "3d835ef4-a2ab-4e6f-8c30-64705a62efd1", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "{'result': ['Can U Feel It?',\n", " 'Can U Feel It',\n", " 'can u feel it?',\n", " 'Can U Feel It!',\n", " 'Can You Feel It?',\n", " 'Can You Feel It',\n", " 'CAN YOU FEEL IT?',\n", " 'Can you feel it',\n", " 'I Can Feel It',\n", " 'I can feel it']}" ] }, "execution_count": 19, "metadata": {}, "output_type": "execute_result" } ], "source": [ "api.music_search_song_entity_by_name(\"I can feel IT\")" ] }, { "cell_type": "code", "execution_count": 20, "id": "43164f6c-3576-4be4-8bf2-175928a526b5", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "{'result': [[\"Texas Hold 'Em\"], ['Beyonce']]}" ] }, "execution_count": 20, "metadata": {}, "output_type": "execute_result" } ], "source": [ "api.music_get_billboard_rank_date(1, \"2024-02-28\")" ] }, { "cell_type": "code", "execution_count": 21, "id": "9237c97a-bee4-4b4a-aa27-a1e95054d7e3", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "{'result': '2'}" ] }, "execution_count": 21, "metadata": {}, "output_type": "execute_result" } ], "source": [ "api.music_get_billboard_attributes(\"2024-02-28\", \"weeks_in_chart\", \"Texas Hold 'Em\")" ] }, { "cell_type": "code", "execution_count": 22, "id": "ae6e4ed6-5f82-4862-8457-77706b9910de", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "{'result': ['Lauryn Hill']}" ] }, "execution_count": 22, "metadata": {}, "output_type": "execute_result" } ], "source": [ "api.music_grammy_get_best_artist_by_year(1998)" ] }, { "cell_type": "code", "execution_count": 23, "id": "7a4ebb2f-c5a0-439f-9135-8a045e214ed1", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "{'result': 16}" ] }, "execution_count": 23, "metadata": {}, "output_type": "execute_result" } ], "source": [ "api.music_grammy_get_award_count_by_artist(\"Adele\")" ] }, { "cell_type": "code", "execution_count": 24, "id": "67e034ed-6fd6-43c1-9042-58390d79b1bb", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "{'result': 0}" ] }, "execution_count": 24, "metadata": {}, "output_type": "execute_result" } ], "source": [ "api.music_grammy_get_award_count_by_song(\"I Can Feel It\")" ] }, { "cell_type": "code", "execution_count": 25, "id": "13a062b7-cc73-4c4b-b99f-6085b9923c78", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "{'result': ['My Heart Will Go On (Love Theme From Titanic)']}" ] }, "execution_count": 25, "metadata": {}, "output_type": "execute_result" } ], "source": [ "api.music_grammy_get_best_song_by_year(1998)" ] }, { "cell_type": "code", "execution_count": 26, "id": "caf00307-eb9b-48c3-9df6-aa163529a4ea", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "{'result': [2016, 2008, 2011, 2012, 2013]}" ] }, "execution_count": 26, "metadata": {}, "output_type": "execute_result" } ], "source": [ "api.music_grammy_get_award_date_by_artist(\"Adele\")" ] }, { "cell_type": "code", "execution_count": 27, "id": "62a26fcc-3ca3-4def-bfca-b7113553d6fa", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "{'result': ['The Miseducation Of Lauryn Hill']}" ] }, "execution_count": 27, "metadata": {}, "output_type": "execute_result" } ], "source": [ "api.music_grammy_get_best_album_by_year(1998)" ] }, { "cell_type": "code", "execution_count": 28, "id": "59e02feb-31f3-4b2f-924b-94ed9a19d532", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "{'result': ['Billie Eilish',\n", " 'Dua Lipa',\n", " 'Alessia Cara',\n", " 'Chance The Rapper',\n", " 'Meghan Trainor',\n", " 'Sam Smith',\n", " 'Macklemore & Ryan Lewis',\n", " 'Fun.',\n", " 'Bon Iver',\n", " 'Esperanza Spalding',\n", " 'Zac Brown Band',\n", " 'Adele',\n", " 'Amy Winehouse',\n", " 'Carrie Underwood',\n", " 'John Legend',\n", " 'Maroon 5',\n", " 'Evanescence',\n", " 'Norah Jones',\n", " 'Alicia Keys',\n", " 'Shelby Lynne',\n", " 'Christina Aguilera',\n", " 'Lauryn Hill',\n", " 'Paula Cole',\n", " 'LeAnn Rimes',\n", " 'Hootie & The Blowfish',\n", " 'Sheryl Crow',\n", " 'Toni Braxton',\n", " 'Arrested Development',\n", " 'Marc Cohn',\n", " 'Mariah Carey',\n", " 'Tracy Chapman',\n", " 'Jody Watley',\n", " 'Bruce Hornsby & The Range',\n", " 'Sade',\n", " 'Cyndi Lauper',\n", " 'Culture Club',\n", " 'Men At Work',\n", " 'Sheena Easton',\n", " 'Christopher Cross',\n", " 'Rickie Lee Jones',\n", " 'A Taste Of Honey',\n", " 'Bette Midler',\n", " 'Bobbie Gentry',\n", " 'Tom Jones']}" ] }, "execution_count": 28, "metadata": {}, "output_type": "execute_result" } ], "source": [ "api.music_grammy_get_all_awarded_artists()" ] }, { "cell_type": "code", "execution_count": 29, "id": "234ad0f4-a967-43db-9acc-1ec0daadb545", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "{'result': 'NO'}" ] }, "execution_count": 29, "metadata": {}, "output_type": "execute_result" } ], "source": [ "api.music_get_artist_birth_place(\"Adele\")" ] }, { "cell_type": "code", "execution_count": 30, "id": "a93f4a5e-3406-453a-bc78-56ab463ed3cf", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "{'result': '1987'}" ] }, "execution_count": 30, "metadata": {}, "output_type": "execute_result" } ], "source": [ "api.music_get_artist_birth_date(\"Adele\")" ] }, { "cell_type": "code", "execution_count": 31, "id": "17732a6d-2a02-47e4-9f82-0e9291fe1d2e", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "{'result': ['James Valentine',\n", " 'Matt Flynn',\n", " 'Ryan Dusick',\n", " 'PJ Morton',\n", " 'Mickey Madden',\n", " 'Jesse Carmichael',\n", " 'Adam Levine']}" ] }, "execution_count": 31, "metadata": {}, "output_type": "execute_result" } ], "source": [ "api.music_get_members(\"Maroon 5\")" ] }, { "cell_type": "code", "execution_count": 32, "id": "fd12b64b-7f8f-4791-8930-256dfcad5e7a", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "{'result': ['1987', None]}" ] }, "execution_count": 32, "metadata": {}, "output_type": "execute_result" } ], "source": [ "api.music_get_lifespan(\"Adele\")" ] }, { "cell_type": "code", "execution_count": 33, "id": "5abb0d38-dd8c-4714-bbc7-65276777bbe6", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "{'result': 'Kane Brown'}" ] }, "execution_count": 33, "metadata": {}, "output_type": "execute_result" } ], "source": [ "api.music_get_song_author(\"I Can Feel It\")" ] }, { "cell_type": "code", "execution_count": 34, "id": "83854cfc-dd98-4ac5-838e-e5254bbadd5c", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "{'result': 'XW'}" ] }, "execution_count": 34, "metadata": {}, "output_type": "execute_result" } ], "source": [ "api.music_get_song_release_country(\"I Can Feel It\")" ] }, { "cell_type": "code", "execution_count": 35, "id": "2b8cb036-c7d8-434d-a95e-c2d1481d8553", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "{'result': '2023-09-21'}" ] }, "execution_count": 35, "metadata": {}, "output_type": "execute_result" } ], "source": [ "api.music_get_song_release_date(\"I Can Feel It\")" ] }, { "cell_type": "code", "execution_count": 36, "id": "5176cb00-4270-4457-a93b-55ac1de938cb", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "{'result': ['Hometown Glory',\n", " 'Hometown Glory (remixes)',\n", " 'Rumour Has It',\n", " 'Rolling in the Deep (Jamie xx shuffle)',\n", " 'Faces Pour EP',\n", " '2011-04-08: Paradiso FM, Amsterdam, Netherlands',\n", " 'Rolling in the Deep (The Remixes)',\n", " '2011-02-25: Morning Becomes Eclectic, KCRW-FM, Santa Monica, CA, USA',\n", " 'Adele Live at the Royal Albert Hall',\n", " \"2008-09-22: BBC Radio 1's Live Lounge: London, UK\",\n", " 'Hometown Glory (High Contrast Remixes)',\n", " 'Ep & Demos',\n", " 'Rolling in the Deep (Remixes)',\n", " '2008-06-03: The Current Studios, St. Paul, MN, USA',\n", " '2010-10-21: The Current Studios, St. Paul, MN, USA',\n", " '2015-11-02: Live at the BBC',\n", " 'Skyfall (remixes)',\n", " 'Someone Like You (Remixes)',\n", " 'Rolling in the Deep (Dirty Noise ‘Meets the Dubstep’ remix)',\n", " 'Music Sounds Better Fundamentals',\n", " 'Not Drunk Enuff',\n", " 'Someone Like You (Live at her home)',\n", " '19 (2018 Remastered Edition)',\n", " 'Live From the Artist Den 2012',\n", " 'Easy on Me',\n", " 'Hiding My Heart',\n", " 'Send My Love (to Your New Lover)',\n", " 'Greatest Hits 2012',\n", " \"Easy On Me (Louis La Roche '1988' Remix)\",\n", " 'Glastonbury 2016',\n", " 'Rolling In The Deep (Remixes)',\n", " 'Set Fire to the Rain (remixes)',\n", " '2015-11-22: Saturday Night Live: New York, NY, USA',\n", " 'Rarities, Covers, and B-Sides']}" ] }, "execution_count": 36, "metadata": {}, "output_type": "execute_result" } ], "source": [ "api.music_get_artist_all_works(\"Adele\")" ] }, { "cell_type": "code", "execution_count": 37, "id": "80ce9857-0bb4-4d0e-a044-4e6625fab875", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "{'result': {'date': {\"('ENG-Premier League', '2324', 'Everton', '2024-03-09 Manchester Utd-Everton')\": '2024-03-09T00:00:00.000'},\n", " 'time': {\"('ENG-Premier League', '2324', 'Everton', '2024-03-09 Manchester Utd-Everton')\": '12:30:00'},\n", " 'round': {\"('ENG-Premier League', '2324', 'Everton', '2024-03-09 Manchester Utd-Everton')\": 'Matchweek 28'},\n", " 'day': {\"('ENG-Premier League', '2324', 'Everton', '2024-03-09 Manchester Utd-Everton')\": 'Sat'},\n", " 'venue': {\"('ENG-Premier League', '2324', 'Everton', '2024-03-09 Manchester Utd-Everton')\": 'Away'},\n", " 'result': {\"('ENG-Premier League', '2324', 'Everton', '2024-03-09 Manchester Utd-Everton')\": 'L'},\n", " 'GF': {\"('ENG-Premier League', '2324', 'Everton', '2024-03-09 Manchester Utd-Everton')\": '0'},\n", " 'GA': {\"('ENG-Premier League', '2324', 'Everton', '2024-03-09 Manchester Utd-Everton')\": '2'},\n", " 'opponent': {\"('ENG-Premier League', '2324', 'Everton', '2024-03-09 Manchester Utd-Everton')\": 'Manchester Utd'},\n", " 'xG': {\"('ENG-Premier League', '2324', 'Everton', '2024-03-09 Manchester Utd-Everton')\": 1.6},\n", " 'xGA': {\"('ENG-Premier League', '2324', 'Everton', '2024-03-09 Manchester Utd-Everton')\": 2.7},\n", " 'Poss': {\"('ENG-Premier League', '2324', 'Everton', '2024-03-09 Manchester Utd-Everton')\": 49},\n", " 'Attendance': {\"('ENG-Premier League', '2324', 'Everton', '2024-03-09 Manchester Utd-Everton')\": 73601},\n", " 'Captain': {\"('ENG-Premier League', '2324', 'Everton', '2024-03-09 Manchester Utd-Everton')\": 'James Tarkowski'},\n", " 'Formation': {\"('ENG-Premier League', '2324', 'Everton', '2024-03-09 Manchester Utd-Everton')\": '4-4-1-1'},\n", " 'Referee': {\"('ENG-Premier League', '2324', 'Everton', '2024-03-09 Manchester Utd-Everton')\": 'Simon Hooper'},\n", " 'match_report': {\"('ENG-Premier League', '2324', 'Everton', '2024-03-09 Manchester Utd-Everton')\": '/en/matches/fede7f6e/Manchester-United-Everton-March-9-2024-Premier-League'},\n", " 'Notes': {\"('ENG-Premier League', '2324', 'Everton', '2024-03-09 Manchester Utd-Everton')\": None}}}" ] }, "execution_count": 37, "metadata": {}, "output_type": "execute_result" } ], "source": [ "api.sports_soccer_get_games_on_date(\"2024-03-09\", \"Everton\")" ] }, { "cell_type": "code", "execution_count": 38, "id": "71ec2989", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "{'result': {'date': {\"('ESP-La Liga', '2324', 'Almería', '2024-03-01 Celta Vigo-Almería')\": '2024-03-01T00:00:00.000',\n", " \"('ESP-La Liga', '2324', 'Celta Vigo', '2024-03-01 Celta Vigo-Almería')\": '2024-03-01T00:00:00.000',\n", " \"('FRA-Ligue 1', '2324', 'Monaco', '2024-03-01 Monaco-Paris S-G')\": '2024-03-01T00:00:00.000',\n", " \"('FRA-Ligue 1', '2324', 'Paris S-G', '2024-03-01 Monaco-Paris S-G')\": '2024-03-01T00:00:00.000'},\n", " 'time': {\"('ESP-La Liga', '2324', 'Almería', '2024-03-01 Celta Vigo-Almería')\": '21:00:00',\n", " \"('ESP-La Liga', '2324', 'Celta Vigo', '2024-03-01 Celta Vigo-Almería')\": '21:00:00',\n", " \"('FRA-Ligue 1', '2324', 'Monaco', '2024-03-01 Monaco-Paris S-G')\": '21:00:00',\n", " \"('FRA-Ligue 1', '2324', 'Paris S-G', '2024-03-01 Monaco-Paris S-G')\": '21:00:00'},\n", " 'round': {\"('ESP-La Liga', '2324', 'Almería', '2024-03-01 Celta Vigo-Almería')\": 'Matchweek 27',\n", " \"('ESP-La Liga', '2324', 'Celta Vigo', '2024-03-01 Celta Vigo-Almería')\": 'Matchweek 27',\n", " \"('FRA-Ligue 1', '2324', 'Monaco', '2024-03-01 Monaco-Paris S-G')\": 'Matchweek 24',\n", " \"('FRA-Ligue 1', '2324', 'Paris S-G', '2024-03-01 Monaco-Paris S-G')\": 'Matchweek 24'},\n", " 'day': {\"('ESP-La Liga', '2324', 'Almería', '2024-03-01 Celta Vigo-Almería')\": 'Fri',\n", " \"('ESP-La Liga', '2324', 'Celta Vigo', '2024-03-01 Celta Vigo-Almería')\": 'Fri',\n", " \"('FRA-Ligue 1', '2324', 'Monaco', '2024-03-01 Monaco-Paris S-G')\": 'Fri',\n", " \"('FRA-Ligue 1', '2324', 'Paris S-G', '2024-03-01 Monaco-Paris S-G')\": 'Fri'},\n", " 'venue': {\"('ESP-La Liga', '2324', 'Almería', '2024-03-01 Celta Vigo-Almería')\": 'Away',\n", " \"('ESP-La Liga', '2324', 'Celta Vigo', '2024-03-01 Celta Vigo-Almería')\": 'Home',\n", " \"('FRA-Ligue 1', '2324', 'Monaco', '2024-03-01 Monaco-Paris S-G')\": 'Home',\n", " \"('FRA-Ligue 1', '2324', 'Paris S-G', '2024-03-01 Monaco-Paris S-G')\": 'Away'},\n", " 'result': {\"('ESP-La Liga', '2324', 'Almería', '2024-03-01 Celta Vigo-Almería')\": 'L',\n", " \"('ESP-La Liga', '2324', 'Celta Vigo', '2024-03-01 Celta Vigo-Almería')\": 'W',\n", " \"('FRA-Ligue 1', '2324', 'Monaco', '2024-03-01 Monaco-Paris S-G')\": 'D',\n", " \"('FRA-Ligue 1', '2324', 'Paris S-G', '2024-03-01 Monaco-Paris S-G')\": 'D'},\n", " 'GF': {\"('ESP-La Liga', '2324', 'Almería', '2024-03-01 Celta Vigo-Almería')\": 0,\n", " \"('ESP-La Liga', '2324', 'Celta Vigo', '2024-03-01 Celta Vigo-Almería')\": 1,\n", " \"('FRA-Ligue 1', '2324', 'Monaco', '2024-03-01 Monaco-Paris S-G')\": '0',\n", " \"('FRA-Ligue 1', '2324', 'Paris S-G', '2024-03-01 Monaco-Paris S-G')\": 0},\n", " 'GA': {\"('ESP-La Liga', '2324', 'Almería', '2024-03-01 Celta Vigo-Almería')\": 1,\n", " \"('ESP-La Liga', '2324', 'Celta Vigo', '2024-03-01 Celta Vigo-Almería')\": 0,\n", " \"('FRA-Ligue 1', '2324', 'Monaco', '2024-03-01 Monaco-Paris S-G')\": '0',\n", " \"('FRA-Ligue 1', '2324', 'Paris S-G', '2024-03-01 Monaco-Paris S-G')\": 0},\n", " 'opponent': {\"('ESP-La Liga', '2324', 'Almería', '2024-03-01 Celta Vigo-Almería')\": 'Celta Vigo',\n", " \"('ESP-La Liga', '2324', 'Celta Vigo', '2024-03-01 Celta Vigo-Almería')\": 'Almería',\n", " \"('FRA-Ligue 1', '2324', 'Monaco', '2024-03-01 Monaco-Paris S-G')\": 'Paris S-G',\n", " \"('FRA-Ligue 1', '2324', 'Paris S-G', '2024-03-01 Monaco-Paris S-G')\": 'Monaco'},\n", " 'xG': {\"('ESP-La Liga', '2324', 'Almería', '2024-03-01 Celta Vigo-Almería')\": 0.1,\n", " \"('ESP-La Liga', '2324', 'Celta Vigo', '2024-03-01 Celta Vigo-Almería')\": 1.5,\n", " \"('FRA-Ligue 1', '2324', 'Monaco', '2024-03-01 Monaco-Paris S-G')\": 1.6,\n", " \"('FRA-Ligue 1', '2324', 'Paris S-G', '2024-03-01 Monaco-Paris S-G')\": 1.5},\n", " 'xGA': {\"('ESP-La Liga', '2324', 'Almería', '2024-03-01 Celta Vigo-Almería')\": 1.5,\n", " \"('ESP-La Liga', '2324', 'Celta Vigo', '2024-03-01 Celta Vigo-Almería')\": 0.1,\n", " \"('FRA-Ligue 1', '2324', 'Monaco', '2024-03-01 Monaco-Paris S-G')\": 1.5,\n", " \"('FRA-Ligue 1', '2324', 'Paris S-G', '2024-03-01 Monaco-Paris S-G')\": 1.6},\n", " 'Poss': {\"('ESP-La Liga', '2324', 'Almería', '2024-03-01 Celta Vigo-Almería')\": 34,\n", " \"('ESP-La Liga', '2324', 'Celta Vigo', '2024-03-01 Celta Vigo-Almería')\": 66,\n", " \"('FRA-Ligue 1', '2324', 'Monaco', '2024-03-01 Monaco-Paris S-G')\": 32,\n", " \"('FRA-Ligue 1', '2324', 'Paris S-G', '2024-03-01 Monaco-Paris S-G')\": 68},\n", " 'Attendance': {\"('ESP-La Liga', '2324', 'Almería', '2024-03-01 Celta Vigo-Almería')\": 18005,\n", " \"('ESP-La Liga', '2324', 'Celta Vigo', '2024-03-01 Celta Vigo-Almería')\": 18005,\n", " \"('FRA-Ligue 1', '2324', 'Monaco', '2024-03-01 Monaco-Paris S-G')\": 14700,\n", " \"('FRA-Ligue 1', '2324', 'Paris S-G', '2024-03-01 Monaco-Paris S-G')\": 14700},\n", " 'Captain': {\"('ESP-La Liga', '2324', 'Almería', '2024-03-01 Celta Vigo-Almería')\": 'Lucas Robertone',\n", " \"('ESP-La Liga', '2324', 'Celta Vigo', '2024-03-01 Celta Vigo-Almería')\": 'Carl Starfelt',\n", " \"('FRA-Ligue 1', '2324', 'Monaco', '2024-03-01 Monaco-Paris S-G')\": 'Wissam Ben Yedder',\n", " \"('FRA-Ligue 1', '2324', 'Paris S-G', '2024-03-01 Monaco-Paris S-G')\": 'Kylian Mbappé'},\n", " 'Formation': {\"('ESP-La Liga', '2324', 'Almería', '2024-03-01 Celta Vigo-Almería')\": '4-2-3-1',\n", " \"('ESP-La Liga', '2324', 'Celta Vigo', '2024-03-01 Celta Vigo-Almería')\": '4-4-2',\n", " \"('FRA-Ligue 1', '2324', 'Monaco', '2024-03-01 Monaco-Paris S-G')\": '4-4-2',\n", " \"('FRA-Ligue 1', '2324', 'Paris S-G', '2024-03-01 Monaco-Paris S-G')\": '4-3-3'},\n", " 'Referee': {\"('ESP-La Liga', '2324', 'Almería', '2024-03-01 Celta Vigo-Almería')\": 'José Sánchez',\n", " \"('ESP-La Liga', '2324', 'Celta Vigo', '2024-03-01 Celta Vigo-Almería')\": 'José Sánchez',\n", " \"('FRA-Ligue 1', '2324', 'Monaco', '2024-03-01 Monaco-Paris S-G')\": 'Ruddy Buquet',\n", " \"('FRA-Ligue 1', '2324', 'Paris S-G', '2024-03-01 Monaco-Paris S-G')\": 'Ruddy Buquet'},\n", " 'match_report': {\"('ESP-La Liga', '2324', 'Almería', '2024-03-01 Celta Vigo-Almería')\": '/en/matches/7ab6dcd9/Celta-Vigo-Almeria-March-1-2024-La-Liga',\n", " \"('ESP-La Liga', '2324', 'Celta Vigo', '2024-03-01 Celta Vigo-Almería')\": '/en/matches/7ab6dcd9/Celta-Vigo-Almeria-March-1-2024-La-Liga',\n", " \"('FRA-Ligue 1', '2324', 'Monaco', '2024-03-01 Monaco-Paris S-G')\": '/en/matches/4be6a76c/Monaco-Paris-Saint-Germain-March-1-2024-Ligue-1',\n", " \"('FRA-Ligue 1', '2324', 'Paris S-G', '2024-03-01 Monaco-Paris S-G')\": '/en/matches/4be6a76c/Monaco-Paris-Saint-Germain-March-1-2024-Ligue-1'},\n", " 'Notes': {\"('ESP-La Liga', '2324', 'Almería', '2024-03-01 Celta Vigo-Almería')\": None,\n", " \"('ESP-La Liga', '2324', 'Celta Vigo', '2024-03-01 Celta Vigo-Almería')\": None,\n", " \"('FRA-Ligue 1', '2324', 'Monaco', '2024-03-01 Monaco-Paris S-G')\": None,\n", " \"('FRA-Ligue 1', '2324', 'Paris S-G', '2024-03-01 Monaco-Paris S-G')\": None}}}" ] }, "execution_count": 38, "metadata": {}, "output_type": "execute_result" } ], "source": [ "api.sports_soccer_get_games_on_date(\"2024-03-01\")" ] }, { "cell_type": "code", "execution_count": 39, "id": "08c2a1c3-00b8-436a-898d-b97874bd7a2c", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "{'result': {'season_id': {'0': '12022'},\n", " 'team_id_home': {'0': '1610612741'},\n", " 'team_abbreviation_home': {'0': 'CHI'},\n", " 'team_name_home': {'0': 'Chicago Bulls'},\n", " 'game_id': {'0': '0012200049'},\n", " 'game_date': {'0': '2022-10-11 00:00:00'},\n", " 'matchup_home': {'0': 'CHI vs. MIL'},\n", " 'wl_home': {'0': 'W'},\n", " 'min': {'0': 240},\n", " 'fgm_home': {'0': 50.0},\n", " 'fga_home': {'0': 94.0},\n", " 'fg_pct_home': {'0': 0.532},\n", " 'fg3m_home': {'0': 10.0},\n", " 'fg3a_home': {'0': 31.0},\n", " 'fg3_pct_home': {'0': 0.323},\n", " 'ftm_home': {'0': 17.0},\n", " 'fta_home': {'0': 23.0},\n", " 'ft_pct_home': {'0': 0.739},\n", " 'oreb_home': {'0': 16.0},\n", " 'dreb_home': {'0': 41.0},\n", " 'reb_home': {'0': 57.0},\n", " 'ast_home': {'0': 32.0},\n", " 'stl_home': {'0': 8.0},\n", " 'blk_home': {'0': 4.0},\n", " 'tov_home': {'0': 15.0},\n", " 'pf_home': {'0': 14.0},\n", " 'pts_home': {'0': 127.0},\n", " 'plus_minus_home': {'0': 23},\n", " 'video_available_home': {'0': 1},\n", " 'team_id_away': {'0': '1610612749'},\n", " 'team_abbreviation_away': {'0': 'MIL'},\n", " 'team_name_away': {'0': 'Milwaukee Bucks'},\n", " 'matchup_away': {'0': 'MIL @ CHI'},\n", " 'wl_away': {'0': 'L'},\n", " 'fgm_away': {'0': 37.0},\n", " 'fga_away': {'0': 92.0},\n", " 'fg_pct_away': {'0': 0.402},\n", " 'fg3m_away': {'0': 16.0},\n", " 'fg3a_away': {'0': 51.0},\n", " 'fg3_pct_away': {'0': 0.314},\n", " 'ftm_away': {'0': 14.0},\n", " 'fta_away': {'0': 21.0},\n", " 'ft_pct_away': {'0': 0.667},\n", " 'oreb_away': {'0': 7.0},\n", " 'dreb_away': {'0': 28.0},\n", " 'reb_away': {'0': 35.0},\n", " 'ast_away': {'0': 25.0},\n", " 'stl_away': {'0': 10.0},\n", " 'blk_away': {'0': 6.0},\n", " 'tov_away': {'0': 14.0},\n", " 'pf_away': {'0': 21.0},\n", " 'pts_away': {'0': 104.0},\n", " 'plus_minus_away': {'0': -23},\n", " 'video_available_away': {'0': 1},\n", " 'season_type': {'0': 'Pre Season'}}}" ] }, "execution_count": 39, "metadata": {}, "output_type": "execute_result" } ], "source": [ "api.sports_nba_get_games_on_date(\"2022-10-11\", \"Chicago Bulls\")" ] }, { "cell_type": "code", "execution_count": 40, "id": "6ea672c4", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "{'result': {'season_id': {'0': '12022',\n", " '1': '12022',\n", " '2': '12022',\n", " '3': '12022',\n", " '4': '12022'},\n", " 'team_id_home': {'0': '1610612765',\n", " '1': '1610612753',\n", " '2': '1610612741',\n", " '3': '1610612762',\n", " '4': '1610612744'},\n", " 'team_abbreviation_home': {'0': 'DET',\n", " '1': 'ORL',\n", " '2': 'CHI',\n", " '3': 'UTA',\n", " '4': 'GSW'},\n", " 'team_name_home': {'0': 'Detroit Pistons',\n", " '1': 'Orlando Magic',\n", " '2': 'Chicago Bulls',\n", " '3': 'Utah Jazz',\n", " '4': 'Golden State Warriors'},\n", " 'game_id': {'0': '0012200047',\n", " '1': '0012200048',\n", " '2': '0012200049',\n", " '3': '0012200050',\n", " '4': '0012200051'},\n", " 'game_date': {'0': '2022-10-11 00:00:00',\n", " '1': '2022-10-11 00:00:00',\n", " '2': '2022-10-11 00:00:00',\n", " '3': '2022-10-11 00:00:00',\n", " '4': '2022-10-11 00:00:00'},\n", " 'matchup_home': {'0': 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None,\n", " '103': \"MISS Drummond 2' Driving Layup\",\n", " '104': None,\n", " '105': None,\n", " '106': None,\n", " '107': None,\n", " '108': None,\n", " '109': None,\n", " '110': 'MISS Williams 3PT Jump Shot',\n", " '111': None,\n", " '112': 'Green S.FOUL (P1.T1) (J.Williams)',\n", " '113': None,\n", " '114': None,\n", " '115': None,\n", " '116': 'SUB: Jones Jr. FOR Green',\n", " '117': 'Williams REBOUND (Off:2 Def:1)',\n", " '118': 'Williams Lost Ball Turnover (P1.T6)',\n", " '119': 'Dosunmu S.FOUL (P1.T2) (R.Hussey)',\n", " '120': None,\n", " '121': None,\n", " '122': 'Williams Driving Dunk (7 PTS) (Caruso 5 AST)',\n", " '123': 'Drummond S.FOUL (P1.T3) (J.Williams)',\n", " '124': None,\n", " '125': None,\n", " '126': None,\n", " '127': 'Williams Driving Dunk (9 PTS) (Caruso 6 AST)',\n", " '128': None,\n", " '129': None,\n", " '130': 'Dosunmu Free Throw 1 of 2 (1 PTS)',\n", " '131': 'Dosunmu Free Throw 2 of 2 (2 PTS)',\n", " '132': None,\n", " '133': 'Dosunmu REBOUND (Off:0 Def:1)',\n", " '134': \"MISS Williams 25' 3PT Running Jump Shot\",\n", " '135': 'Drummond REBOUND (Off:1 Def:0)',\n", " '136': 'Drummond Putback Dunk (4 PTS)',\n", " '137': 'Jones Jr. S.FOUL (P1.T4) (R.Hussey)',\n", " '138': None,\n", " '139': 'SUB: Terry FOR Caruso',\n", " '140': None,\n", " '141': None,\n", " '142': 'Drummond Free Throw 1 of 2 (5 PTS)',\n", " '143': None,\n", " '144': 'Drummond Free Throw 2 of 2 (6 PTS)',\n", " '145': None,\n", " '146': \"Williams 6' Turnaround Fadeaway (11 PTS) (Dosunmu 1 AST)\",\n", " '147': None,\n", " '148': None,\n", " '149': \"Jones Jr. 26' 3PT Jump Shot (3 PTS) (Terry 3 AST)\",\n", " '150': None,\n", " '151': 'Terry S.FOUL (P1.PN) (A.Nagy)',\n", " '152': 'BULLS Timeout: Regular (Full 2 Short 0)',\n", " '153': None,\n", " '154': None,\n", " '155': 'Drummond Driving Dunk (8 PTS) (Williams 3 AST)',\n", " '156': 'Drummond S.FOUL (P2.PN) (J.Williams)',\n", " '157': None,\n", " '158': 'SUB: White FOR Drummond',\n", " '159': 'SUB: Vucevic FOR Dosunmu',\n", " '160': 'SUB: Dragic FOR Williams',\n", " '161': None,\n", " '162': \"Jones Jr. 1' Cutting Dunk Shot (5 PTS) (Dragic 2 AST)\",\n", " '163': None,\n", " '164': \"MISS Dragic 25' 3PT Jump Shot\",\n", " '165': None,\n", " '166': None,\n", " '167': 'Vucevic REBOUND (Off:0 Def:2)',\n", " '168': \"Vucevic 2' Driving Layup (11 PTS) (Terry 4 AST)\",\n", " '169': None,\n", " '170': 'SUB: Caruso FOR Jones Jr.',\n", " '171': 'SUB: Green FOR Terry',\n", " '172': None,\n", " '173': None,\n", " '174': None,\n", " '175': 'Vucevic Bad Pass Turnover (P3.T7)',\n", " '176': None,\n", " '177': 'Vucevic REBOUND (Off:0 Def:3)',\n", " '178': None,\n", " '179': \"MISS Caruso 26' 3PT Pullup Jump Shot\",\n", " '180': 'Dragic REBOUND (Off:1 Def:1)',\n", " '181': \"Dragic 2' Driving Finger Roll Layup (6 PTS)\",\n", " '182': None,\n", " '183': 'Caruso REBOUND (Off:0 Def:3)',\n", " '184': \"MISS Vucevic 25' 3PT Jump Shot\",\n", " '185': None,\n", " '186': 'Vucevic Violation:Kicked Ball (A.Nagy)',\n", " '187': None,\n", " '188': None,\n", " '189': None,\n", " '190': \"MISS White 16' Fadeaway Jumper\",\n", " '191': None,\n", " '192': 'White BLOCK (1 BLK)',\n", " '193': 'Vucevic REBOUND (Off:0 Def:4)',\n", " '194': 'MISS Caruso 3PT Jump Shot',\n", " '195': 'Green REBOUND (Off:1 Def:1)',\n", " '196': None,\n", " '197': 'Green Free Throw 1 of 2 (6 PTS)',\n", " '198': 'Green Free Throw 2 of 2 (7 PTS)',\n", " '199': None,\n", " '200': 'Vucevic REBOUND (Off:0 Def:5)',\n", " '201': 'MISS White 3PT Jump Shot',\n", " '202': None,\n", " '203': None,\n", " '204': 'BULLS Rebound',\n", " '205': 'SUB: Williams FOR Green',\n", " '206': None,\n", " '207': None,\n", " '208': 'White Free Throw 1 of 2 (3 PTS)',\n", " '209': 'MISS White Free Throw 2 of 2',\n", " '210': None,\n", " '211': None,\n", " '212': None,\n", " '213': \"MISS Caruso 9' Driving Layup\",\n", " '214': None,\n", " '215': 'Vucevic STEAL (2 STL)',\n", " '216': \"Caruso 1' Driving Layup (4 PTS) (Dragic 3 AST)\",\n", " '217': None,\n", " '218': \"MISS Vucevic 10' Turnaround Fadeaway Shot\",\n", " '219': None,\n", " '220': None,\n", " '221': \"MISS White 10' Driving Floating Jump Shot\",\n", " '222': 'Vucevic REBOUND (Off:1 Def:5)',\n", " '223': None,\n", " '224': 'MISS Vucevic Free Throw 1 of 2',\n", " '225': 'BULLS Rebound',\n", " '226': 'SUB: Dosunmu FOR White',\n", " '227': None,\n", " '228': 'Vucevic Free Throw 2 of 2 (12 PTS)',\n", " '229': 'Caruso STEAL (2 STL)',\n", " '230': 'Dragic 3PT Jump Shot (9 PTS) (Caruso 7 AST)',\n", " '231': None,\n", " '232': 'Vucevic REBOUND (Off:1 Def:6)',\n", " '233': \"MISS Caruso 24' 3PT Jump Shot\",\n", " '234': None,\n", " '235': None,\n", " '236': 'Dosunmu REBOUND (Off:0 Def:2)',\n", " '237': None,\n", " '238': None,\n", " '239': None,\n", " '240': 'Vucevic REBOUND (Off:1 Def:7)',\n", " '241': \"MISS Dragic 15' Pullup Jump Shot\",\n", " '242': None,\n", " '243': 'Dragic P.FOUL (P1.T1) (A.Nagy)',\n", " '244': None,\n", " '245': 'Caruso REBOUND (Off:0 Def:4)',\n", " '246': \"Dragic 2' Running Layup (11 PTS) (Caruso 8 AST)\",\n", " '247': None,\n", " '248': None,\n", " '249': \"Vucevic 19' Jump Shot (14 PTS) (Dragic 4 AST)\",\n", " '250': None,\n", " '251': None,\n", " '252': None,\n", " '253': 'Vucevic REBOUND (Off:1 Def:8)',\n", " '254': \"Dosunmu 1' Running Layup (4 PTS) (Vucevic 1 AST)\",\n", " '255': None,\n", " '256': 'Caruso REBOUND (Off:0 Def:5)',\n", " '257': \"Caruso 1' Cutting Layup Shot (6 PTS) (Vucevic 2 AST)\",\n", " '258': None,\n", " '259': None,\n", " '260': \"MISS Williams 2' Alley Oop Layup\",\n", " '261': None,\n", " '262': None,\n", " '263': None,\n", " '264': \"MISS Williams 26' 3PT Pullup Jump Shot\",\n", " '265': 'Vucevic REBOUND (Off:2 Def:8)',\n", " '266': \"MISS Dragic 25' 3PT Jump Shot\",\n", " '267': None,\n", " '268': 'Williams STEAL (1 STL)',\n", " '269': 'Dosunmu Traveling Turnover (P2.T8)',\n", " '270': None,\n", " '271': \"Dragic 1' Driving Finger Roll Layup (13 PTS) (Vucevic 3 AST)\",\n", " '272': None,\n", " '273': 'Vucevic REBOUND (Off:2 Def:9)',\n", " '274': \"Williams 1' Running Dunk (13 PTS) (Vucevic 4 AST)\",\n", " '275': 'Caruso STEAL (3 STL)',\n", " '276': \"Dosunmu 1' Driving Dunk (6 PTS) (Caruso 9 AST)\",\n", " '277': None,\n", " '278': 'SUB: White FOR Dragic',\n", " '279': None,\n", " '280': None,\n", " '281': None,\n", " '282': \"MISS White 25' 3PT Jump Shot\",\n", " '283': 'Williams Tip Layup Shot (15 PTS)',\n", " '284': 'Williams REBOUND (Off:3 Def:1)',\n", " '285': None,\n", " '286': 'Caruso REBOUND (Off:0 Def:6)',\n", " '287': 'Vucevic Bad Pass Turnover (P4.T9)',\n", " '288': 'Caruso Transition Take Foul (P0.T1) (R.Hussey)',\n", " '289': None,\n", " '290': None,\n", " '291': 'Caruso REBOUND (Off:0 Def:7)',\n", " '292': \"MISS Caruso 3' Driving Layup\",\n", " '293': None,\n", " '294': None,\n", " '295': \"Vucevic 26' 3PT Jump Shot (17 PTS) (Williams 4 AST)\",\n", " '296': None,\n", " '297': None,\n", " '298': None,\n", " '299': 'SUB: Drummond FOR Caruso',\n", " '300': 'SUB: Terry 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(Off:1 Def:2)',\n", " '330': \"Drummond 2' Driving Finger Roll Layup (10 PTS)\",\n", " '331': None,\n", " '332': None,\n", " '333': None,\n", " '334': \"MISS Green 3' Driving Layup\",\n", " '335': None,\n", " '336': 'Terry P.FOUL (P2.T2) (A.Nagy)',\n", " '337': None,\n", " '338': None,\n", " '339': None,\n", " '340': None,\n", " '341': 'White 3PT Jump Bank Shot (9 PTS) (Drummond 1 AST)',\n", " '342': None,\n", " '343': None,\n", " '344': \"MISS White 27' 3PT Fadeaway Jumper\",\n", " '345': None,\n", " '346': 'Terry S.FOUL (P3.T1) (R.Hussey)',\n", " '347': None,\n", " '348': None,\n", " '349': None,\n", " '350': \"MISS Green 2' Driving Dunk\",\n", " '351': 'White REBOUND (Off:1 Def:1)',\n", " '352': \"Drummond 2' Layup (12 PTS)\",\n", " '353': None,\n", " '354': 'Terry REBOUND (Off:0 Def:4)',\n", " '355': None,\n", " '356': None,\n", " '357': \"MISS Jones Jr. 4' Alley Oop Layup\",\n", " '358': None,\n", " '359': 'Drummond S.FOUL (P3.T2) (R.Hussey)',\n", " '360': None,\n", " '361': 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None,\n", " '339': 'End of 3rd Period (9:45 PM EST)',\n", " '340': 'Start of 4th Period (9:48 PM EST)',\n", " '341': None,\n", " '342': None,\n", " '343': None,\n", " '344': None,\n", " '345': None,\n", " '346': None,\n", " '347': None,\n", " '348': None,\n", " '349': None,\n", " '350': None,\n", " '351': None,\n", " '352': None,\n", " '353': None,\n", " '354': None,\n", " '355': None,\n", " '356': None,\n", " '357': None,\n", " '358': None,\n", " '359': None,\n", " '360': None,\n", " '361': None,\n", " '362': None,\n", " '363': None,\n", " '364': None,\n", " '365': None,\n", " '366': None,\n", " '367': None,\n", " '368': None,\n", " '369': None,\n", " '370': None,\n", " '371': None,\n", " '372': None,\n", " '373': None,\n", " '374': None,\n", " '375': None,\n", " '376': None,\n", " '377': None,\n", " '378': None,\n", " '379': None,\n", " '380': None,\n", " '381': None,\n", " '382': None,\n", " '383': None,\n", " '384': None,\n", " '385': None,\n", " '386': None,\n", " '387': None,\n", " '388': None,\n", " '389': None,\n", " '390': None,\n", " '391': None,\n", " '392': None,\n", " '393': None,\n", " '394': None,\n", " '395': None,\n", " '396': None,\n", " '397': None,\n", " '398': None,\n", " '399': None,\n", " '400': None,\n", " '401': None,\n", " '402': None,\n", " '403': None,\n", " '404': None,\n", " '405': None,\n", " '406': None,\n", " '407': None,\n", " '408': None,\n", " '409': None,\n", " '410': None,\n", " '411': None,\n", " '412': None,\n", " '413': None,\n", " '414': None,\n", " '415': None,\n", " '416': None,\n", " '417': None,\n", " '418': None,\n", " '419': None,\n", " '420': None,\n", " '421': None,\n", " '422': None,\n", " '423': None,\n", " '424': None,\n", " '425': None,\n", " '426': None,\n", " '427': None,\n", " '428': None,\n", " '429': None,\n", " '430': None,\n", " '431': None,\n", " '432': None,\n", " '433': None,\n", " '434': None,\n", " '435': None,\n", " '436': None,\n", " '437': None,\n", " '438': None,\n", " '439': None,\n", " '440': None,\n", " '441': None,\n", " '442': None,\n", " '443': None,\n", " '444': None,\n", " '445': None,\n", " '446': None,\n", " '447': None,\n", " '448': None,\n", " '449': None,\n", " '450': None,\n", " '451': None,\n", " '452': None,\n", " '453': None,\n", " '454': None,\n", " '455': None,\n", " '456': None,\n", " '457': None,\n", " '458': None,\n", " '459': None,\n", " '460': None,\n", " '461': None,\n", " '462': None,\n", " '463': None,\n", " '464': None,\n", " '465': None,\n", " '466': None,\n", " '467': None,\n", " '468': None,\n", " '469': None,\n", " '470': None,\n", " '471': None,\n", " '472': None,\n", " '473': None,\n", " '474': None,\n", " '475': None,\n", " '476': None,\n", " '477': None,\n", " '478': None,\n", " '479': None,\n", " '480': 'End of 4th Period (10:16 PM EST)'},\n", " 'visitordescription': {'0': None,\n", " '1': None,\n", " '2': None,\n", " '3': 'Nwora REBOUND (Off:0 Def:1)',\n", " '4': \"MISS Carter 26' 3PT Pullup Jump Shot\",\n", " '5': 'Nwora REBOUND (Off:1 Def:1)',\n", " '6': \"Bolden 24' Jump Shot (2 PTS) (Nwora 1 AST)\",\n", " '7': None,\n", " '8': \"Nwora 2' Driving Layup (2 PTS) (Mamukelashvili 1 AST)\",\n", " '9': None,\n", " '10': 'MISS Mamukelashvili 3PT Jump Shot',\n", " '11': None,\n", " '12': 'Mamukelashvili STEAL (1 STL)',\n", " '13': \"Beauchamp 2' Driving Finger Roll Layup (2 PTS) (Bolden 1 AST)\",\n", " '14': None,\n", " '15': \"Beauchamp 1' Cutting Dunk Shot (4 PTS) (Carter 1 AST)\",\n", " '16': 'Nwora STEAL (1 STL)',\n", " '17': \"Carter 26' 3PT Running Jump Shot (3 PTS) (Nwora 2 AST)\",\n", " '18': None,\n", " '19': None,\n", " '20': \"MISS Mamukelashvili 6' Turnaround Jump Shot\",\n", " '21': None,\n", " '22': None,\n", " '23': None,\n", " '24': None,\n", " '25': 'Beauchamp Violation:Defensive Goaltending (J.Williams)',\n", " '26': \"Nwora 23' Fadeaway Jumper (4 PTS)\",\n", " '27': 'Bolden S.FOUL (P1.T1) (A.Nagy)',\n", " '28': None,\n", " '29': None,\n", " '30': 'SUB: Green FOR Bolden',\n", " '31': 'Green REBOUND (Off:0 Def:1)',\n", " '32': 'Mamukelashvili Out of Bounds - Bad Pass Turnover Turnover (P1.T1)',\n", " '33': None,\n", " '34': 'Carter REBOUND (Off:0 Def:1)',\n", " '35': \"Mamukelashvili 26' 3PT Jump Shot (3 PTS) (Carter 2 AST)\",\n", " '36': None,\n", " '37': 'Mamukelashvili REBOUND (Off:0 Def:1)',\n", " '38': \"MISS Nwora 21' Step Back Jump Shot\",\n", " '39': 'Carter REBOUND (Off:1 Def:1)',\n", " '40': 'Nwora OFF.Foul (P1) (J.Williams)',\n", " '41': 'Nwora Offensive Foul Turnover (P1.T2)',\n", " '42': None,\n", " '43': 'Bucks Rebound',\n", " '44': None,\n", " '45': 'SUB: Wigginton FOR Beauchamp',\n", " '46': \"MISS Nwora 29' 3PT Jump Shot\",\n", " '47': None,\n", " '48': None,\n", " '49': 'Green S.FOUL (P1.T2) (A.Nagy)',\n", " '50': None,\n", " '51': None,\n", " '52': None,\n", " '53': 'MISS Green 3PT Pullup Jump Shot',\n", " '54': None,\n", " '55': None,\n", " '56': 'Nwora Bad Pass Turnover (P2.T3)',\n", " '57': 'Wigginton STEAL (1 STL)',\n", " '58': 'Nwora 3PT Pullup Jump Shot (7 PTS) (Green 1 AST)',\n", " '59': 'Carter P.FOUL (P1.T3) (R.Hussey)',\n", " '60': 'SUB: Vildoza FOR Carter',\n", " '61': None,\n", " '62': None,\n", " '63': 'MISS Mamukelashvili Free Throw 1 of 2',\n", " '64': 'Bucks Rebound',\n", " '65': 'SUB: Beauchamp FOR Nwora',\n", " '66': 'SUB: Bolden FOR Green',\n", " '67': 'Mamukelashvili Free Throw 2 of 2 (4 PTS)',\n", " '68': 'Mamukelashvili STEAL (2 STL)',\n", " '69': \"MISS Wigginton 26' 3PT Jump Shot\",\n", " '70': None,\n", " '71': None,\n", " '72': 'Beauchamp REBOUND (Off:0 Def:1)',\n", " '73': \"MISS Beauchamp 13' Driving Floating Jump Shot\",\n", " '74': None,\n", " '75': None,\n", " '76': 'Bucks Timeout: Regular (Reg.1 Short 0)',\n", " '77': None,\n", " '78': None,\n", " '79': 'SUB: Green FOR Mamukelashvili',\n", " '80': 'Green Lost Ball Turnover (P1.T4)',\n", " '81': None,\n", " '82': 'Wigginton Step Out of Bounds Turnover (P1.T5)',\n", " '83': None,\n", " '84': None,\n", " '85': None,\n", " '86': 'Bolden Dunk (4 PTS) (Beauchamp 1 AST)',\n", " '87': None,\n", " '88': \"MISS Beauchamp 24' Step Back Jump Shot\",\n", " '89': None,\n", " '90': None,\n", " '91': 'MISS Beauchamp 3PT Jump Shot',\n", " '92': 'Green REBOUND (Off:1 Def:1)',\n", " '93': \"MISS Beauchamp 3' Driving Dunk\",\n", " '94': None,\n", " '95': None,\n", " '96': \"MISS Vildoza 18' Pullup Jump Shot\",\n", " '97': None,\n", " '98': None,\n", " '99': 'Green REBOUND (Off:1 Def:2)',\n", " '100': \"MISS Green 26' 3PT Jump Shot\",\n", " '101': 'Bucks Rebound',\n", " '102': 'Bucks Turnover: Shot Clock (T#6)',\n", " '103': None,\n", " '104': 'Vildoza REBOUND (Off:0 Def:1)',\n", " '105': \"MISS Vildoza 76' 3PT Jump Shot\",\n", " '106': 'Bucks Rebound',\n", " '107': None,\n", " '108': None,\n", " '109': \"Carter 27' 3PT Jump Shot (6 PTS)\",\n", " '110': None,\n", " '111': 'Mamukelashvili REBOUND (Off:0 Def:2)',\n", " '112': None,\n", " '113': 'MISS Wigginton Free Throw 1 of 2',\n", " '114': 'Bucks Rebound',\n", " '115': 'MISS Wigginton Free Throw 2 of 2',\n", " '116': None,\n", " '117': None,\n", " '118': 'Nwora STEAL (2 STL)',\n", " '119': None,\n", " '120': 'Carter Free Throw 1 of 2 (7 PTS)',\n", " '121': 'Carter Free Throw 2 of 2 (8 PTS)',\n", " '122': None,\n", " '123': None,\n", " '124': 'Carter Free Throw 1 of 2 (9 PTS)',\n", " '125': 'SUB: Green FOR Wigginton',\n", " '126': 'Carter Free Throw 2 of 2 (10 PTS)',\n", " '127': None,\n", " '128': \"Mamukelashvili 11' Turnaround Jump Shot (6 PTS)\",\n", " '129': 'Carter S.FOUL (P2.T1) (A.Nagy)',\n", " '130': None,\n", " '131': None,\n", " '132': \"MISS Carter 25' 3PT Pullup Jump Shot\",\n", " '133': None,\n", " '134': None,\n", " '135': None,\n", " '136': None,\n", " '137': None,\n", " '138': 'Nwora Free Throw 1 of 2 (8 PTS)',\n", " '139': None,\n", " '140': 'Nwora Free Throw 2 of 2 (9 PTS)',\n", " '141': 'Carter S.FOUL (P3.T2) (A.Nagy)',\n", " '142': None,\n", " '143': 'SUB: Beauchamp FOR Bolden',\n", " '144': None,\n", " '145': \"Nwora 29' 3PT Step Back Jump Shot (12 PTS)\",\n", " '146': None,\n", " '147': 'Nwora Violation:Defensive Goaltending (A.Nagy)',\n", " '148': \"Green 26' 3PT Pullup Jump Shot (3 PTS) (Nwora 3 AST)\",\n", " '149': None,\n", " '150': \"Mamukelashvili 1' Driving Dunk (8 PTS) (Carter 3 AST)\",\n", " '151': None,\n", " '152': None,\n", " '153': 'SUB: Vildoza FOR Carter',\n", " '154': 'Mamukelashvili Free Throw 1 of 1 (9 PTS)',\n", " '155': None,\n", " '156': None,\n", " '157': 'Mamukelashvili Free Throw 1 of 2 (10 PTS)',\n", " '158': None,\n", " '159': None,\n", " '160': None,\n", " '161': 'Mamukelashvili Free Throw 2 of 2 (11 PTS)',\n", " '162': None,\n", " '163': \"Nwora 8' Pullup Jump Shot (14 PTS)\",\n", " '164': None,\n", " '165': 'Bucks Rebound',\n", " '166': \"MISS Mamukelashvili 25' 3PT Jump Shot\",\n", " '167': None,\n", " '168': None,\n", " '169': 'Bucks Timeout: Regular (Reg.2 Short 0)',\n", " '170': None,\n", " '171': None,\n", " '172': 'SUB: Wigginton FOR Nwora',\n", " '173': 'SUB: Bolden FOR Mamukelashvili',\n", " '174': \"Green 29' 3PT Jump Shot (6 PTS) (Beauchamp 2 AST)\",\n", " '175': 'Bolden STEAL (1 STL)',\n", " '176': \"MISS Green 26' 3PT Jump Shot\",\n", " '177': None,\n", " '178': 'Bolden P.FOUL (P2.T3) (R.Hussey)',\n", " '179': None,\n", " '180': None,\n", " '181': None,\n", " '182': \"MISS Green 26' 3PT Jump Shot\",\n", " '183': None,\n", " '184': None,\n", " '185': 'Bolden REBOUND (Off:0 Def:1)',\n", " '186': None,\n", " '187': 'SUB: Carter FOR Green',\n", " '188': \"Beauchamp 8' Driving Floating Jump Shot (6 PTS)\",\n", " '189': 'Wigginton P.FOUL (P1.T4) (J.Williams)',\n", " '190': None,\n", " '191': 'Wigginton REBOUND (Off:0 Def:1)',\n", " '192': \"MISS Wigginton 5' Driving Layup\",\n", " '193': None,\n", " '194': None,\n", " '195': None,\n", " '196': 'Wigginton S.FOUL (P2.PN) (R.Hussey)',\n", " '197': None,\n", " '198': None,\n", " '199': \"MISS Wigginton 24' 3PT Jump Shot\",\n", " '200': None,\n", " '201': None,\n", " '202': 'Carter REBOUND (Off:1 Def:2)',\n", " '203': \"MISS Carter 11' Driving Floating Jump Shot\",\n", " '204': None,\n", " '205': None,\n", " '206': 'SUB: Nwora FOR Vildoza',\n", " '207': 'Carter S.FOUL (P4.PN) (A.Nagy)',\n", " '208': None,\n", " '209': None,\n", " '210': 'SUB: Mamukelashvili FOR Beauchamp',\n", " '211': 'Nwora REBOUND (Off:1 Def:2)',\n", " '212': \"Bolden 1' Driving Dunk (6 PTS) (Wigginton 1 AST)\",\n", " '213': None,\n", " '214': 'Bolden REBOUND (Off:0 Def:2)',\n", " '215': 'Carter Lost Ball Turnover (P1.T7)',\n", " '216': None,\n", " '217': \"Bolden 25' 3PT Jump Shot (9 PTS) (Wigginton 2 AST)\",\n", " '218': None,\n", " '219': 'Nwora REBOUND (Off:1 Def:3)',\n", " '220': \"Carter 24' 3PT Jump Shot (13 PTS) (Wigginton 3 AST)\",\n", " '221': None,\n", " '222': None,\n", " '223': 'Bolden S.FOUL (P3.PN) (J.Williams)',\n", " '224': None,\n", " '225': None,\n", " '226': None,\n", " '227': 'SUB: Beauchamp FOR Bolden',\n", " '228': None,\n", " '229': 'Carter Bad Pass Turnover (P2.T8)',\n", " '230': None,\n", " '231': \"MISS Wigginton 12' Pullup Jump Shot\",\n", " '232': None,\n", " '233': None,\n", " '234': 'Carter REBOUND (Off:1 Def:3)',\n", " '235': \"MISS Carter 27' 3PT Pullup Jump Shot\",\n", " '236': None,\n", " '237': None,\n", " '238': None,\n", " '239': 'MISS Carter 3PT Jump Shot',\n", " '240': None,\n", " '241': None,\n", " '242': 'Mamukelashvili REBOUND (Off:0 Def:3)',\n", " '243': None,\n", " '244': 'MISS Nwora 3PT Jump Shot',\n", " '245': None,\n", " '246': None,\n", " '247': \"Bolden 1' Dunk (11 PTS)\",\n", " '248': 'Nwora Violation:Kicked Ball (J.Williams)',\n", " '249': None,\n", " '250': \"MISS Beauchamp 24' 3PT Pullup Jump Shot\",\n", " '251': 'Bucks Rebound',\n", " '252': \"MISS Mamukelashvili 1' Driving Finger Roll Layup\",\n", " '253': None,\n", " '254': None,\n", " '255': \"MISS Nwora 28' 3PT Pullup Jump Shot\",\n", " '256': None,\n", " '257': None,\n", " '258': 'Bucks Timeout: Regular (Reg.3 Short 0)',\n", " '259': \"Beauchamp 1' Driving Finger Roll Layup (8 PTS) (Bolden 2 AST)\",\n", " '260': None,\n", " '261': 'Mamukelashvili REBOUND (Off:0 Def:4)',\n", " '262': 'Beauchamp Offensive Charge Foul (P1) (J.Williams)',\n", " '263': 'Beauchamp Offensive Foul Turnover (P1.T9)',\n", " '264': None,\n", " '265': None,\n", " '266': None,\n", " '267': 'Mamukelashvili REBOUND (Off:0 Def:5)',\n", " '268': 'Carter Bad Pass Turnover (P3.T10)',\n", " '269': None,\n", " '270': \"Nwora 1' Driving Layup (16 PTS)\",\n", " '271': None,\n", " '272': \"MISS Carter 26' 3PT Pullup Jump Shot\",\n", " '273': None,\n", " '274': None,\n", " '275': 'Beauchamp Bad Pass Turnover (P2.T11)',\n", " '276': None,\n", " '277': 'Bucks Timeout: Regular (Reg.4 Short 0)',\n", " '278': None,\n", " '279': 'SUB: Green FOR Carter',\n", " '280': 'SUB: Wigginton FOR Bolden',\n", " '281': \"Beauchamp 26' 3PT Pullup Jump Shot (11 PTS) (Green 2 AST)\",\n", " '282': None,\n", " '283': None,\n", " '284': None,\n", " '285': \"MISS Mamukelashvili 25' 3PT Jump Shot\",\n", " '286': None,\n", " '287': 'Nwora STEAL (3 STL)',\n", " '288': None,\n", " '289': 'Nwora Free Throw 1 of 1 (17 PTS)',\n", " '290': \"MISS Green 25' 3PT Jump Shot\",\n", " '291': None,\n", " '292': None,\n", " '293': 'Mamukelashvili REBOUND (Off:0 Def:6)',\n", " '294': \"Nwora 2' Driving Layup (19 PTS)\",\n", " '295': None,\n", " '296': 'Nwora 3PT Pullup Jump Shot (22 PTS) (Mamukelashvili 2 AST)',\n", " '297': 'Bucks Violation: Delay of game Violation',\n", " '298': 'Green P.FOUL (P2.T1) (A.Nagy)',\n", " '299': None,\n", " '300': None,\n", " '301': 'SUB: Bolden FOR Beauchamp',\n", " '302': 'SUB: Vildoza FOR Mamukelashvili',\n", " '303': 'Nwora BLOCK (1 BLK)',\n", " '304': 'Wigginton REBOUND (Off:0 Def:2)',\n", " '305': \"Green 13' Turnaround Jump Shot (8 PTS) (Wigginton 4 AST)\",\n", " '306': None,\n", " '307': 'Bolden REBOUND (Off:0 Def:3)',\n", " '308': \"MISS Nwora 29' 3PT Running Jump Shot\",\n", " '309': None,\n", " '310': None,\n", " '311': \"MISS Nwora 6' Driving Layup\",\n", " '312': None,\n", " '313': 'Vildoza BLOCK (1 BLK)',\n", " '314': 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Green',\n", " '55': 'Nikola Vucevic',\n", " '56': 'Jordan Nwora',\n", " '57': 'Nikola Vucevic',\n", " '58': 'Jordan Nwora',\n", " '59': 'Jevon Carter',\n", " '60': 'Jevon Carter',\n", " '61': 'Goran Dragic',\n", " '62': 'Nikola Vucevic',\n", " '63': 'Sandro Mamukelashvili',\n", " '64': None,\n", " '65': 'Jordan Nwora',\n", " '66': 'AJ Green',\n", " '67': 'Sandro Mamukelashvili',\n", " '68': 'Alex Caruso',\n", " '69': 'Lindell Wigginton',\n", " '70': 'Alex Caruso',\n", " '71': 'Javonte Green',\n", " '72': 'MarJon Beauchamp',\n", " '73': 'MarJon Beauchamp',\n", " '74': 'Nikola Vucevic',\n", " '75': 'Nikola Vucevic',\n", " '76': None,\n", " '77': 'Coby White',\n", " '78': 'Nikola Vucevic',\n", " '79': 'Sandro Mamukelashvili',\n", " '80': 'AJ Green',\n", " '81': 'Andre Drummond',\n", " '82': 'Lindell Wigginton',\n", " '83': 'Patrick Williams',\n", " '84': 'Patrick Williams',\n", " '85': 'Patrick Williams',\n", " '86': 'Marques Bolden',\n", " '87': 'Javonte Green',\n", " '88': 'MarJon Beauchamp',\n", " '89': None,\n", " '90': 'Alex Caruso',\n", " '91': 'MarJon Beauchamp',\n", " '92': 'AJ Green',\n", " '93': 'MarJon Beauchamp',\n", " '94': 'Goran Dragic',\n", " '95': 'Goran Dragic',\n", " '96': 'Luca Vildoza',\n", " '97': 'Alex Caruso',\n", " '98': 'Alex Caruso',\n", " '99': 'AJ Green',\n", " '100': 'AJ Green',\n", " '101': None,\n", " '102': None,\n", " '103': 'Andre Drummond',\n", " '104': 'Luca Vildoza',\n", " '105': 'Luca Vildoza',\n", " '106': None,\n", " '107': None,\n", " '108': None,\n", " '109': 'Jevon Carter',\n", " '110': 'Patrick Williams',\n", " '111': 'Sandro Mamukelashvili',\n", " '112': 'Javonte Green',\n", " '113': 'Lindell Wigginton',\n", " '114': None,\n", " '115': 'Lindell Wigginton',\n", " '116': 'Javonte Green',\n", " '117': 'Patrick Williams',\n", " '118': 'Patrick Williams',\n", " '119': 'Ayo Dosunmu',\n", " '120': 'Jevon Carter',\n", " '121': 'Jevon Carter',\n", " '122': 'Patrick Williams',\n", " '123': 'Andre Drummond',\n", " '124': 'Jevon Carter',\n", " '125': 'Lindell Wigginton',\n", " '126': 'Jevon Carter',\n", " '127': 'Patrick Williams',\n", " '128': 'Sandro Mamukelashvili',\n", " '129': 'Jevon Carter',\n", " '130': 'Ayo Dosunmu',\n", " '131': 'Ayo Dosunmu',\n", " '132': 'Jevon Carter',\n", " '133': 'Ayo Dosunmu',\n", " '134': 'Patrick Williams',\n", " '135': 'Andre Drummond',\n", " '136': 'Andre Drummond',\n", " '137': 'Derrick Jones Jr.',\n", " '138': 'Jordan Nwora',\n", " '139': 'Alex Caruso',\n", " '140': 'Jordan Nwora',\n", " '141': 'Jevon Carter',\n", " '142': 'Andre Drummond',\n", " '143': 'Marques Bolden',\n", " '144': 'Andre Drummond',\n", " '145': 'Jordan Nwora',\n", " '146': 'Patrick Williams',\n", " '147': 'Jordan Nwora',\n", " '148': 'AJ Green',\n", " '149': 'Derrick Jones Jr.',\n", " '150': 'Sandro Mamukelashvili',\n", " '151': 'Dalen Terry',\n", " '152': None,\n", " '153': 'Jevon Carter',\n", " '154': 'Sandro Mamukelashvili',\n", " '155': 'Andre Drummond',\n", " '156': 'Andre Drummond',\n", " '157': 'Sandro Mamukelashvili',\n", " '158': 'Andre Drummond',\n", " '159': 'Ayo Dosunmu',\n", " '160': 'Patrick Williams',\n", " '161': 'Sandro Mamukelashvili',\n", " '162': 'Derrick Jones Jr.',\n", " '163': 'Jordan Nwora',\n", " '164': 'Goran Dragic',\n", " '165': None,\n", " '166': 'Sandro Mamukelashvili',\n", " '167': 'Nikola Vucevic',\n", " '168': 'Nikola Vucevic',\n", " '169': None,\n", " '170': 'Derrick Jones Jr.',\n", " '171': 'Dalen Terry',\n", " '172': 'Jordan Nwora',\n", " '173': 'Sandro Mamukelashvili',\n", " '174': 'AJ Green',\n", " '175': 'Nikola Vucevic',\n", " '176': 'AJ Green',\n", " '177': 'Nikola Vucevic',\n", " '178': 'Marques Bolden',\n", " '179': 'Alex Caruso',\n", " '180': 'Goran Dragic',\n", " '181': 'Goran Dragic',\n", " '182': 'AJ Green',\n", " '183': 'Alex Caruso',\n", " '184': 'Nikola Vucevic',\n", " '185': 'Marques Bolden',\n", " '186': 'Nikola Vucevic',\n", " '187': 'AJ Green',\n", " '188': 'MarJon Beauchamp',\n", " '189': 'Lindell Wigginton',\n", " '190': 'Coby White',\n", " '191': 'Lindell Wigginton',\n", " '192': 'Lindell Wigginton',\n", " '193': 'Nikola Vucevic',\n", " '194': 'Alex Caruso',\n", " '195': 'Javonte Green',\n", " '196': 'Lindell Wigginton',\n", " '197': 'Javonte Green',\n", " '198': 'Javonte Green',\n", " '199': 'Lindell Wigginton',\n", " '200': 'Nikola Vucevic',\n", " '201': 'Coby White',\n", " '202': 'Jevon Carter',\n", " '203': 'Jevon Carter',\n", " '204': None,\n", " '205': 'Javonte Green',\n", " '206': 'Luca Vildoza',\n", " '207': 'Jevon Carter',\n", " '208': 'Coby White',\n", " '209': 'Coby White',\n", " '210': 'MarJon Beauchamp',\n", " '211': 'Jordan Nwora',\n", " '212': 'Marques Bolden',\n", " '213': 'Alex Caruso',\n", " '214': 'Marques Bolden',\n", " '215': 'Jevon Carter',\n", " '216': 'Alex Caruso',\n", " '217': 'Marques Bolden',\n", " '218': 'Nikola Vucevic',\n", " '219': 'Jordan Nwora',\n", " '220': 'Jevon Carter',\n", " '221': 'Coby White',\n", " '222': 'Nikola Vucevic',\n", " '223': 'Marques Bolden',\n", " '224': 'Nikola Vucevic',\n", " '225': None,\n", " '226': 'Coby White',\n", " '227': 'Marques Bolden',\n", " '228': 'Nikola Vucevic',\n", " '229': 'Jevon Carter',\n", " '230': 'Goran Dragic',\n", " '231': 'Lindell Wigginton',\n", " '232': 'Nikola Vucevic',\n", " '233': 'Alex Caruso',\n", " '234': 'Jevon Carter',\n", " '235': 'Jevon Carter',\n", " '236': 'Ayo Dosunmu',\n", " '237': None,\n", " '238': None,\n", " '239': 'Jevon Carter',\n", " '240': 'Nikola Vucevic',\n", " '241': 'Goran Dragic',\n", " '242': 'Sandro Mamukelashvili',\n", " '243': 'Goran Dragic',\n", " '244': 'Jordan Nwora',\n", " '245': 'Alex Caruso',\n", " '246': 'Goran Dragic',\n", " '247': 'Marques Bolden',\n", " '248': 'Jordan Nwora',\n", " '249': 'Nikola Vucevic',\n", " '250': 'MarJon Beauchamp',\n", " '251': None,\n", " '252': 'Sandro Mamukelashvili',\n", " '253': 'Nikola Vucevic',\n", " '254': 'Ayo Dosunmu',\n", " '255': 'Jordan Nwora',\n", " '256': 'Alex Caruso',\n", " '257': 'Alex Caruso',\n", " '258': None,\n", " '259': 'MarJon Beauchamp',\n", " '260': 'Patrick Williams',\n", " '261': 'Sandro Mamukelashvili',\n", " '262': 'MarJon Beauchamp',\n", " '263': 'MarJon Beauchamp',\n", " '264': 'Patrick Williams',\n", " '265': 'Nikola Vucevic',\n", " '266': 'Goran Dragic',\n", " '267': 'Sandro Mamukelashvili',\n", " '268': 'Jevon Carter',\n", " '269': 'Ayo Dosunmu',\n", " '270': 'Jordan Nwora',\n", " '271': 'Goran Dragic',\n", " '272': 'Jevon Carter',\n", " '273': 'Nikola Vucevic',\n", " '274': 'Patrick Williams',\n", " '275': 'MarJon Beauchamp',\n", " '276': 'Ayo Dosunmu',\n", " '277': None,\n", " '278': 'Goran Dragic',\n", " '279': 'Jevon Carter',\n", " '280': 'Marques Bolden',\n", " '281': 'MarJon Beauchamp',\n", " '282': 'Coby White',\n", " '283': 'Patrick Williams',\n", " '284': 'Patrick Williams',\n", " '285': 'Sandro Mamukelashvili',\n", " '286': 'Alex Caruso',\n", " '287': 'Nikola Vucevic',\n", " '288': 'Alex Caruso',\n", " '289': 'Jordan Nwora',\n", " '290': 'AJ Green',\n", " '291': 'Alex Caruso',\n", " '292': 'Alex Caruso',\n", " '293': 'Sandro Mamukelashvili',\n", " '294': 'Jordan Nwora',\n", " '295': 'Nikola Vucevic',\n", " '296': 'Jordan Nwora',\n", " '297': None,\n", " '298': 'AJ Green',\n", " '299': 'Alex Caruso',\n", " '300': 'Nikola Vucevic',\n", " '301': 'MarJon Beauchamp',\n", " '302': 'Sandro Mamukelashvili',\n", " '303': 'Patrick Williams',\n", " '304': 'Lindell Wigginton',\n", " '305': 'AJ Green',\n", " '306': 'Ayo Dosunmu',\n", " '307': 'Marques Bolden',\n", " '308': 'Jordan Nwora',\n", " '309': 'Andre Drummond',\n", " '310': 'Ayo Dosunmu',\n", " '311': 'Jordan Nwora',\n", " '312': 'Dalen Terry',\n", " '313': 'Ayo Dosunmu',\n", " '314': 'AJ Green',\n", " '315': 'Jordan Nwora',\n", " '316': 'Coby White',\n", " '317': 'Dalen Terry',\n", " '318': 'Lindell Wigginton',\n", " '319': 'Andre Drummond',\n", " '320': 'Coby White',\n", " '321': 'Marques Bolden',\n", " '322': 'Coby White',\n", " '323': 'Ayo Dosunmu',\n", " '324': 'Patrick Williams',\n", " '325': 'Jordan Nwora',\n", " '326': 'Marques Bolden',\n", " '327': 'Luca Vildoza',\n", " '328': 'Luca Vildoza',\n", " '329': 'Javonte Green',\n", " '330': 'Andre Drummond',\n", " '331': 'Marques Bolden',\n", " '332': 'Marques Bolden',\n", " '333': 'Marques Bolden',\n", " '334': 'Javonte Green',\n", " '335': 'MarJon Beauchamp',\n", " '336': 'Dalen Terry',\n", " '337': 'AJ Green',\n", " '338': None,\n", " '339': None,\n", " '340': None,\n", " '341': 'Coby White',\n", " '342': 'Luca Vildoza',\n", " '343': 'Luca Vildoza',\n", " '344': 'Coby White',\n", " '345': 'Sandro Mamukelashvili',\n", " '346': 'Dalen Terry',\n", " '347': 'Sandro Mamukelashvili',\n", " '348': None,\n", " '349': 'Sandro Mamukelashvili',\n", " '350': 'Javonte Green',\n", " '351': 'Coby White',\n", " '352': 'Andre Drummond',\n", " '353': 'AJ Green',\n", " '354': 'Dalen Terry',\n", " '355': 'AJ Green',\n", " '356': 'AJ Green',\n", " '357': 'Derrick Jones Jr.',\n", " '358': 'Sandro Mamukelashvili',\n", " '359': 'Andre Drummond',\n", " '360': 'Sandro Mamukelashvili',\n", " '361': 'Sandro Mamukelashvili',\n", " '362': 'Andre Drummond',\n", " '363': 'Javonte Green',\n", " '364': 'Jordan Nwora',\n", " '365': 'Andre Drummond',\n", " '366': 'Jordan Nwora',\n", " '367': 'Jordan Nwora',\n", " '368': 'Lindell Wigginton',\n", " '369': 'Dalen Terry',\n", " '370': 'Dalen Terry',\n", " '371': 'Javonte Green',\n", " '372': 'Andre Drummond',\n", " '373': 'Andre Drummond',\n", " '374': 'Jordan Nwora',\n", " '375': 'Coby White',\n", " '376': 'Coby White',\n", " '377': 'MarJon Beauchamp',\n", " '378': 'Andre Drummond',\n", " '379': 'Andre Drummond',\n", " '380': 'Luca Vildoza',\n", " '381': 'Andre Drummond',\n", " '382': 'Coby White',\n", " '383': None,\n", " '384': 'Jordan Nwora',\n", " '385': 'Luca Vildoza',\n", " '386': 'AJ Green',\n", " '387': 'Andre Drummond',\n", " '388': 'Sandro Mamukelashvili',\n", " '389': 'Derrick Jones Jr.',\n", " '390': 'Derrick Jones Jr.',\n", " '391': 'Andre Drummond',\n", " '392': 'Andre Drummond',\n", " '393': 'MarJon Beauchamp',\n", " '394': 'Sandro Mamukelashvili',\n", " '395': 'Lindell Wigginton',\n", " '396': 'Andre Drummond',\n", " '397': 'Lindell Wigginton',\n", " '398': 'Patrick Williams',\n", " '399': 'Sandro Mamukelashvili',\n", " '400': 'Derrick Jones Jr.',\n", " '401': 'Patrick Williams',\n", " '402': 'Lindell Wigginton',\n", " '403': 'Marques Bolden',\n", " '404': 'Marques Bolden',\n", " '405': None,\n", " '406': 'Andre Drummond',\n", " '407': 'Sandro Mamukelashvili',\n", " '408': 'Derrick Jones Jr.',\n", " '409': 'Patrick Williams',\n", " '410': 'Dalen Terry',\n", " '411': 'AJ Green',\n", " '412': 'Lindell Wigginton',\n", " '413': 'MarJon Beauchamp',\n", " '414': 'Patrick Williams',\n", " '415': 'Derrick Jones Jr.',\n", " '416': 'Patrick Williams',\n", " '417': 'Marques Bolden',\n", " '418': 'Tony Bradley',\n", " '419': 'MarJon Beauchamp',\n", " '420': 'Javonte Green',\n", " '421': None,\n", " '422': 'Patrick Williams',\n", " '423': 'Javonte Green',\n", " '424': 'MarJon Beauchamp',\n", " '425': 'Javonte Green',\n", " '426': 'Coby White',\n", " '427': 'Kostas Antetokounmpo',\n", " '428': 'Kostas Antetokounmpo',\n", " '429': 'Luca Vildoza',\n", " '430': 'Javonte Green',\n", " '431': 'Dalen Terry',\n", " '432': 'Kostas Antetokounmpo',\n", " '433': 'MarJon Beauchamp',\n", " '434': None,\n", " '435': 'MarJon Beauchamp',\n", " '436': None,\n", " '437': 'MarJon Beauchamp',\n", " '438': 'Coby White',\n", " '439': 'Javonte Green',\n", " '440': 'Dalen Terry',\n", " '441': 'Tony Bradley',\n", " '442': 'Tony Bradley',\n", " '443': 'Tony Bradley',\n", " '444': 'Tony Bradley',\n", " '445': 'Tony Bradley',\n", " '446': None,\n", " '447': None,\n", " '448': 'MarJon Beauchamp',\n", " '449': 'Marques Bolden',\n", " '450': 'Marques Bolden',\n", " '451': 'Carlik Jones',\n", " '452': 'Lindell Wigginton',\n", " '453': None,\n", " '454': 'Kostas Antetokounmpo',\n", " '455': None,\n", " '456': 'AJ Green',\n", " '457': 'Kostas Antetokounmpo',\n", " '458': 'Marko Simonovic',\n", " '459': 'Marques Bolden',\n", " '460': 'Malcolm Hill',\n", " '461': 'Malcolm Hill',\n", " '462': 'Malcolm Hill',\n", " '463': 'MarJon Beauchamp',\n", " '464': 'Luca Vildoza',\n", " '465': 'Malcolm Hill',\n", " '466': 'AJ Green',\n", " '467': 'Kostas Antetokounmpo',\n", " '468': 'Tony Bradley',\n", " '469': 'Tony Bradley',\n", " '470': 'MarJon Beauchamp',\n", " '471': 'Kostas Antetokounmpo',\n", " '472': 'Kostas Antetokounmpo',\n", " '473': None,\n", " '474': 'MarJon Beauchamp',\n", " '475': 'Marko Simonovic',\n", " '476': 'Marko Simonovic',\n", " '477': 'Lindell Wigginton',\n", " '478': None,\n", " '479': 'MarJon Beauchamp',\n", " '480': None},\n", " 'player1_team_id': {'0': None,\n", " '1': '1610612741.0',\n", " '2': '1610612741.0',\n", " '3': '1610612749.0',\n", " '4': '1610612749.0',\n", " '5': '1610612749.0',\n", " '6': '1610612749.0',\n", " '7': '1610612741.0',\n", " '8': '1610612749.0',\n", " '9': '1610612741.0',\n", " '10': '1610612749.0',\n", " '11': None,\n", " '12': '1610612741.0',\n", " '13': '1610612749.0',\n", " '14': '1610612741.0',\n", " '15': '1610612749.0',\n", " '16': '1610612741.0',\n", " '17': '1610612749.0',\n", " '18': None,\n", " '19': '1610612741.0',\n", " '20': '1610612749.0',\n", " '21': '1610612741.0',\n", " '22': '1610612741.0',\n", " '23': '1610612741.0',\n", " '24': '1610612741.0',\n", " '25': '1610612749.0',\n", " '26': '1610612749.0',\n", " '27': '1610612749.0',\n", " '28': '1610612741.0',\n", " '29': '1610612741.0',\n", " '30': '1610612749.0',\n", " '31': '1610612749.0',\n", " '32': '1610612749.0',\n", " '33': '1610612741.0',\n", " '34': '1610612749.0',\n", " '35': '1610612749.0',\n", " '36': '1610612741.0',\n", " '37': '1610612749.0',\n", " '38': '1610612749.0',\n", " '39': '1610612749.0',\n", " '40': '1610612749.0',\n", " '41': '1610612749.0',\n", " '42': '1610612741.0',\n", " '43': None,\n", " '44': '1610612741.0',\n", " '45': '1610612749.0',\n", " '46': '1610612749.0',\n", " '47': '1610612741.0',\n", " '48': '1610612741.0',\n", " '49': '1610612749.0',\n", " '50': '1610612741.0',\n", " '51': '1610612741.0',\n", " '52': '1610612741.0',\n", " '53': '1610612749.0',\n", " '54': '1610612741.0',\n", " '55': '1610612741.0',\n", " '56': '1610612749.0',\n", " '57': '1610612741.0',\n", " '58': '1610612749.0',\n", " '59': '1610612749.0',\n", " '60': '1610612749.0',\n", " '61': '1610612741.0',\n", " '62': '1610612741.0',\n", " '63': '1610612749.0',\n", " '64': None,\n", " '65': '1610612749.0',\n", " '66': '1610612749.0',\n", " '67': '1610612749.0',\n", " '68': '1610612741.0',\n", " '69': '1610612749.0',\n", " '70': '1610612741.0',\n", " '71': '1610612741.0',\n", " '72': '1610612749.0',\n", " '73': '1610612749.0',\n", " '74': '1610612741.0',\n", " '75': '1610612741.0',\n", " '76': None,\n", " '77': '1610612741.0',\n", " '78': '1610612741.0',\n", " '79': '1610612749.0',\n", " '80': '1610612749.0',\n", " '81': '1610612741.0',\n", " '82': '1610612749.0',\n", " '83': 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================================================ # Copyright (c) Meta Platforms, Inc. and affiliates. # All rights reserved. # This source code is licensed under the license found in the # LICENSE file in the root directory of this source tree. import json import os from typing import List import requests class CRAG(object): """ A client for interacting with the CRAG server, offering methods to query various domains such as Open, Movie, Finance, Music, and Sports. Each method corresponds to an API endpoint on the CRAG server. Attributes: server (str): The base URL of the CRAG server. Defaults to "http://127.0.0.1:8000". Methods: open_search_entity_by_name(query: str) -> dict: Search for entities by name in the Open domain. open_get_entity(entity: str) -> dict: Retrieve detailed information about an entity in the Open domain. movie_get_person_info(person_name: str) -> dict: Get information about a person related to movies. movie_get_movie_info(movie_name: str) -> dict: Get information about a movie. movie_get_year_info(year: str) -> dict: Get information about movies released in a specific year. movie_get_movie_info_by_id(movie_id: int) -> dict: Get movie information by its unique ID. movie_get_person_info_by_id(person_id: int) -> dict: Get person information by their unique ID. finance_get_company_name(query: str) -> dict: Search for company names in the finance domain. finance_get_ticker_by_name(query: str) -> dict: Retrieve the ticker symbol for a given company name. finance_get_price_history(ticker_name: str) -> dict: Get the price history for a given ticker symbol. finance_get_detailed_price_history(ticker_name: str) -> dict: Get detailed price history for a ticker symbol. finance_get_dividends_history(ticker_name: str) -> dict: Get dividend history for a ticker symbol. finance_get_market_capitalization(ticker_name: str) -> dict: Retrieve market capitalization for a ticker symbol. finance_get_eps(ticker_name: str) -> dict: Get earnings per share (EPS) for a ticker symbol. finance_get_pe_ratio(ticker_name: str) -> dict: Get the price-to-earnings (PE) ratio for a ticker symbol. finance_get_info(ticker_name: str) -> dict: Get financial information for a ticker symbol. music_search_artist_entity_by_name(artist_name: str) -> dict: Search for music artists by name. music_search_song_entity_by_name(song_name: str) -> dict: Search for songs by name. music_get_billboard_rank_date(rank: int, date: str = None) -> dict: Get Billboard ranking for a specific rank and date. music_get_billboard_attributes(date: str, attribute: str, song_name: str) -> dict: Get attributes of a song from Billboard rankings. music_grammy_get_best_artist_by_year(year: int) -> dict: Get the Grammy Best New Artist for a specific year. music_grammy_get_award_count_by_artist(artist_name: str) -> dict: Get the total Grammy awards won by an artist. music_grammy_get_award_count_by_song(song_name: str) -> dict: Get the total Grammy awards won by a song. music_grammy_get_best_song_by_year(year: int) -> dict: Get the Grammy Song of the Year for a specific year. music_grammy_get_award_date_by_artist(artist_name: str) -> dict: Get the years an artist won a Grammy award. music_grammy_get_best_album_by_year(year: int) -> dict: Get the Grammy Album of the Year for a specific year. music_grammy_get_all_awarded_artists() -> dict: Get all artists awarded the Grammy Best New Artist. music_get_artist_birth_place(artist_name: str) -> dict: Get the birthplace of an artist. music_get_artist_birth_date(artist_name: str) -> dict: Get the birth date of an artist. music_get_members(band_name: str) -> dict: Get the member list of a band. music_get_lifespan(artist_name: str) -> dict: Get the lifespan of an artist. music_get_song_author(song_name: str) -> dict: Get the author of a song. music_get_song_release_country(song_name: str) -> dict: Get the release country of a song. music_get_song_release_date(song_name: str) -> dict: Get the release date of a song. music_get_artist_all_works(artist_name: str) -> dict: Get all works by an artist. sports_soccer_get_games_on_date(team_name: str, date: str) -> dict: Get soccer games on a specific date. Result includes game attributes such as date, time, GF: GF: Goals For - the number of goals scored by the team in question during the match, GA: Goals Against - the number of goals conceded by the team during the match, xG: Expected Goals - a statistical measure that estimates the number of goals a team should have scored based on the quality of chances they created, xGA: Expected Goals Against - a measure estimating the number of goals a team should have conceded based on the quality of chances allowed to the opponent, Poss: Possession - the percentage of the match time during which the team had possession of the ball. sports_nba_get_games_on_date(team_name: str, date: str) -> dict: Get NBA games on a specific date. Result includes game attributes such as team_name_home: The full name of the home team, wl_home: The outcome of the game for the home team, pts_home: The total number of points scored by the home team. sports_nba_get_play_by_play_data_by_game_ids(game_ids: List[str]) -> dict: Get NBA play by play data for a set of game ids. Result includes play-by-play event time, description, player etc. Note: Each method performs a POST request to the corresponding API endpoint and returns the response as a JSON dictionary. """ def __init__(self): self.server = os.environ.get('CRAG_SERVER', "http://127.0.0.1:8000") def open_search_entity_by_name(self, query:str): url = self.server + '/open/search_entity_by_name' headers={'accept': "application/json"} data = {'query': query} result = requests.post(url, json=data, headers=headers) return json.loads(result.text) def open_get_entity(self, entity:str): url = self.server + '/open/get_entity' headers={'accept': "application/json"} data = {'query': entity} result = requests.post(url, json=data, headers=headers) return json.loads(result.text) def movie_get_person_info(self, person_name:str): url = self.server + '/movie/get_person_info' headers={'accept': "application/json"} data = {'query': person_name} result = requests.post(url, json=data, headers=headers) return json.loads(result.text) def movie_get_movie_info(self, movie_name:str): url = self.server + '/movie/get_movie_info' headers={'accept': "application/json"} data = {'query': movie_name} result = requests.post(url, json=data, headers=headers) return json.loads(result.text) def movie_get_year_info(self, year:str): url = self.server + '/movie/get_year_info' headers={'accept': "application/json"} data = {'query': year} result = requests.post(url, json=data, headers=headers) return json.loads(result.text) def movie_get_movie_info_by_id(self, movid_id:int): url = self.server + '/movie/get_movie_info_by_id' headers={'accept': "application/json"} data = {'query': movid_id} result = requests.post(url, json=data, headers=headers) return json.loads(result.text) def movie_get_person_info_by_id(self, person_id:int): url = self.server + '/movie/get_person_info_by_id' headers={'accept': "application/json"} data = {'query': person_id} result = requests.post(url, json=data, headers=headers) return json.loads(result.text) def finance_get_company_name(self, query:str): url = self.server + '/finance/get_company_name' headers={'accept': "application/json"} data = {'query': query} result = requests.post(url, json=data, headers=headers) return json.loads(result.text) def finance_get_ticker_by_name(self, query:str): url = self.server + '/finance/get_ticker_by_name' headers={'accept': "application/json"} data = {'query': query} result = requests.post(url, json=data, headers=headers) return json.loads(result.text) def finance_get_price_history(self, ticker_name:str): url = self.server + '/finance/get_price_history' headers={'accept': "application/json"} data = {'query': ticker_name} result = requests.post(url, json=data, headers=headers) return json.loads(result.text) def finance_get_detailed_price_history(self, ticker_name:str): url = self.server + '/finance/get_detailed_price_history' headers={'accept': "application/json"} data = {'query': ticker_name} result = requests.post(url, json=data, headers=headers) return json.loads(result.text) def finance_get_dividends_history(self, ticker_name:str): url = self.server + '/finance/get_dividends_history' headers={'accept': "application/json"} data = {'query': ticker_name} result = requests.post(url, json=data, headers=headers) return json.loads(result.text) def finance_get_market_capitalization(self, ticker_name:str): url = self.server + '/finance/get_market_capitalization' headers={'accept': "application/json"} data = {'query': ticker_name} result = requests.post(url, json=data, headers=headers) return json.loads(result.text) def finance_get_eps(self, ticker_name:str): url = self.server + '/finance/get_eps' headers={'accept': "application/json"} data = {'query': ticker_name} result = requests.post(url, json=data, headers=headers) return json.loads(result.text) def finance_get_pe_ratio(self, ticker_name:str): url = self.server + '/finance/get_pe_ratio' headers={'accept': "application/json"} data = {'query': ticker_name} result = requests.post(url, json=data, headers=headers) return json.loads(result.text) def finance_get_info(self, ticker_name:str): url = self.server + '/finance/get_info' headers={'accept': "application/json"} data = {'query': ticker_name} result = requests.post(url, json=data, headers=headers) return json.loads(result.text) def music_search_artist_entity_by_name(self, artist_name:str): url = self.server + '/music/search_artist_entity_by_name' headers={'accept': "application/json"} data = {'query': artist_name} result = requests.post(url, json=data, headers=headers) return json.loads(result.text) def music_search_song_entity_by_name(self, song_name:str): url = self.server + '/music/search_song_entity_by_name' headers={'accept': "application/json"} data = {'query': song_name} result = requests.post(url, json=data, headers=headers) return json.loads(result.text) def music_get_billboard_rank_date(self, rank:int, date:str=None): url = self.server + '/music/get_billboard_rank_date' headers={'accept': "application/json"} data = {'rank': rank, 'date': date} result = requests.post(url, json=data, headers=headers) return json.loads(result.text) def music_get_billboard_attributes(self, date:str, attribute:str, song_name:str): url = self.server + '/music/get_billboard_attributes' headers={'accept': "application/json"} data = {'date': date, 'attribute': attribute, 'song_name': song_name} result = requests.post(url, json=data, headers=headers) return json.loads(result.text) def music_grammy_get_best_artist_by_year(self, year:int): url = self.server + '/music/grammy_get_best_artist_by_year' headers={'accept': "application/json"} data = {'query': year} result = requests.post(url, json=data, headers=headers) return json.loads(result.text) def music_grammy_get_award_count_by_artist(self, artist_name:str): url = self.server + '/music/grammy_get_award_count_by_artist' headers={'accept': "application/json"} data = {'query': artist_name} result = requests.post(url, json=data, headers=headers) return json.loads(result.text) def music_grammy_get_award_count_by_song(self, song_name:str): url = self.server + '/music/grammy_get_award_count_by_song' headers={'accept': "application/json"} data = {'query': song_name} result = requests.post(url, json=data, headers=headers) return json.loads(result.text) def music_grammy_get_best_song_by_year(self, year:int): url = self.server + '/music/grammy_get_best_song_by_year' headers={'accept': "application/json"} data = {'query': year} result = requests.post(url, json=data, headers=headers) return json.loads(result.text) def music_grammy_get_award_date_by_artist(self, artist_name:str): url = self.server + '/music/grammy_get_award_date_by_artist' headers={'accept': "application/json"} data = {'query': artist_name} result = requests.post(url, json=data, headers=headers) return json.loads(result.text) def music_grammy_get_best_album_by_year(self, year:int): url = self.server + '/music/grammy_get_best_album_by_year' headers={'accept': "application/json"} data = {'query': year} result = requests.post(url, json=data, headers=headers) return json.loads(result.text) def music_grammy_get_all_awarded_artists(self): url = self.server + '/music/grammy_get_all_awarded_artists' headers={'accept': "application/json"} result = requests.post(url, headers=headers) return json.loads(result.text) def music_get_artist_birth_place(self, artist_name:str): url = self.server + '/music/get_artist_birth_place' headers={'accept': "application/json"} data = {'query': artist_name} result = requests.post(url, json=data, headers=headers) return json.loads(result.text) def music_get_artist_birth_date(self, artist_name:str): url = self.server + '/music/get_artist_birth_date' headers={'accept': "application/json"} data = {'query': artist_name} result = requests.post(url, json=data, headers=headers) return json.loads(result.text) def music_get_members(self, band_name:str): url = self.server + '/music/get_members' headers={'accept': "application/json"} data = {'query': band_name} result = requests.post(url, json=data, headers=headers) return json.loads(result.text) def music_get_lifespan(self, artist_name:str): url = self.server + '/music/get_lifespan' headers={'accept': "application/json"} data = {'query': artist_name} result = requests.post(url, json=data, headers=headers) return json.loads(result.text) def music_get_song_author(self, song_name:str): url = self.server + '/music/get_song_author' headers={'accept': "application/json"} data = {'query': song_name} result = requests.post(url, json=data, headers=headers) return json.loads(result.text) def music_get_song_release_country(self, song_name:str): url = self.server + '/music/get_song_release_country' headers={'accept': "application/json"} data = {'query': song_name} result = requests.post(url, json=data, headers=headers) return json.loads(result.text) def music_get_song_release_date(self, song_name:str): url = self.server + '/music/get_song_release_date' headers={'accept': "application/json"} data = {'query': song_name} result = requests.post(url, json=data, headers=headers) return json.loads(result.text) def music_get_artist_all_works(self, song_name:str): url = self.server + '/music/get_artist_all_works' headers={'accept': "application/json"} data = {'query': song_name} result = requests.post(url, json=data, headers=headers) return json.loads(result.text) def sports_soccer_get_games_on_date(self, date:str, team_name:str=None): url = self.server + '/sports/soccer/get_games_on_date' headers={'accept': "application/json"} data = {'team_name': team_name, 'date': date} result = requests.post(url, json=data, headers=headers) return json.loads(result.text) def sports_nba_get_games_on_date(self, date:str, team_name:str=None): url = self.server + '/sports/nba/get_games_on_date' headers={'accept': "application/json"} data = {'team_name': team_name, 'date': date} result = requests.post(url, json=data, headers=headers) return json.loads(result.text) def sports_nba_get_play_by_play_data_by_game_ids(self, game_ids:List[str]): url = self.server + '/sports/nba/get_play_by_play_data_by_game_ids' headers={'accept': "application/json"} data = {'game_ids': game_ids} result = requests.post(url, json=data, headers=headers) return json.loads(result.text) ================================================ FILE: mock_api/cragapi/__init__.py ================================================ ================================================ FILE: mock_api/cragapi/fast_bm25.py ================================================ ''' MIT License Copyright (c) 2021 Teo Orthlieb Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. ''' import collections import heapq import math import pickle import sys PARAM_K1 = 1.5 PARAM_B = 0.75 IDF_CUTOFF = 4 class BM25: """Fast Implementation of Best Matching 25 ranking function. Attributes ---------- t2d : > Dictionary with terms frequencies for each document in `corpus`. idf: Pre computed IDF score for every term. doc_len : list of int List of document lengths. avgdl : float Average length of document in `corpus`. """ def __init__(self, corpus, k1=PARAM_K1, b=PARAM_B, alpha=IDF_CUTOFF): """ Parameters ---------- corpus : list of list of str Given corpus. k1 : float Constant used for influencing the term frequency saturation. After saturation is reached, additional presence for the term adds a significantly less additional score. According to [1]_, experiments suggest that 1.2 < k1 < 2 yields reasonably good results, although the optimal value depends on factors such as the type of documents or queries. b : float Constant used for influencing the effects of different document lengths relative to average document length. When b is bigger, lengthier documents (compared to average) have more impact on its effect. According to [1]_, experiments suggest that 0.5 < b < 0.8 yields reasonably good results, although the optimal value depends on factors such as the type of documents or queries. alpha: float IDF cutoff, terms with a lower idf score than alpha will be dropped. A higher alpha will lower the accuracy of BM25 but increase performance """ self.k1 = k1 self.b = b self.alpha = alpha self.avgdl = 0 self.t2d = {} self.idf = {} self.doc_len = [] if corpus: self._initialize(corpus) @property def corpus_size(self): return len(self.doc_len) def _initialize(self, corpus): """Calculates frequencies of terms in documents and in corpus. Also computes inverse document frequencies.""" for i, document in enumerate(corpus): self.doc_len.append(len(document)) for word in document: if word not in self.t2d: self.t2d[word] = {} if i not in self.t2d[word]: self.t2d[word][i] = 0 self.t2d[word][i] += 1 self.avgdl = sum(self.doc_len)/len(self.doc_len) to_delete = [] for word, docs in self.t2d.items(): idf = math.log(self.corpus_size - len(docs) + 0.5) - math.log(len(docs) + 0.5) # only store the idf score if it's above the threshold if idf > self.alpha: self.idf[word] = idf else: to_delete.append(word) #print(f"Dropping {len(to_delete)} terms") for word in to_delete: del self.t2d[word] self.average_idf = sum(self.idf.values())/len(self.idf) if self.average_idf < 0: print( f'Average inverse document frequency is less than zero. Your corpus of {self.corpus_size} documents' ' is either too small or it does not originate from natural text. BM25 may produce' ' unintuitive results.', file=sys.stderr ) def get_top_n(self, query, documents, n=5): """ Retrieve the top n documents for the query. Parameters ---------- query: list of str The tokenized query documents: list The documents to return from n: int The number of documents to return Returns ------- list The top n documents """ assert self.corpus_size == len(documents), "The documents given don't match the index corpus!" scores = collections.defaultdict(float) for token in query: if token in self.t2d: for index, freq in self.t2d[token].items(): denom_cst = self.k1 * (1 - self.b + self.b * self.doc_len[index] / self.avgdl) scores[index] += self.idf[token]*freq*(self.k1 + 1)/(freq + denom_cst) return [documents[i] for i in heapq.nlargest(n, scores.keys(), key=scores.__getitem__)] def save(self, filename): with open(f"{filename}.pkl", "wb") as fsave: pickle.dump(self, fsave, protocol=pickle.HIGHEST_PROTOCOL) @staticmethod def load(filename): with open(f"{filename}.pkl", "rb") as fsave: return pickle.load(fsave) ================================================ FILE: mock_api/cragapi/finance.py ================================================ # Copyright (c) Meta Platforms, Inc. and affiliates. # All rights reserved. # This source code is licensed under the license found in the # LICENSE file in the root directory of this source tree. import json import os import random import string import numpy as np import pandas as pd from loguru import logger from rank_bm25 import BM25Okapi from sqlitedict import SqliteDict KG_BASE_DIRECTORY = os.getenv("KG_BASE_DIRECTORY", "cragkg") ########################################################################################## # The following are the mock API functions needed for the Finance domain. ########################################################################################## class FinanceKG(): def __init__(self): self.fuzzy_n = 10 company_dict_file_path = os.path.join(KG_BASE_DIRECTORY, "finance", 'company_name.dict') logger.info(f"Reading {company_dict_file_path}") df = pd.read_csv(company_dict_file_path)[["Name", "Symbol"]] self.name_dict = dict(df.values) self.key_map = dict() self.corpus = [] for e in self.name_dict: ne = self.normalize(e) if ne not in self.key_map: self.key_map[ne] = [] self.key_map[ne].append(e) self.corpus.append(ne.split()) self.bm25 = BM25Okapi(self.corpus) self._load_db() logger.info("Finance KG initialized ✅") def _load_db(self): # Price history price_history_path = os.path.join(KG_BASE_DIRECTORY, "finance", "finance_price.sqlite") logger.info(f"Reading price history from: {price_history_path}") self.price_history = SqliteDict(price_history_path) # Detailed price history detailed_price_history_path = os.path.join(KG_BASE_DIRECTORY, "finance", "finance_detailed_price.sqlite") logger.info(f"Reading detailed price history from: {detailed_price_history_path}") self.detailed_price_history = SqliteDict(detailed_price_history_path) # Dividend history dividend_history_path = os.path.join(KG_BASE_DIRECTORY, "finance", "finance_dividend.sqlite") logger.info(f"Reading dividend history from: {dividend_history_path}") self.dividend_history = SqliteDict(dividend_history_path) # Market cap market_cap_path = os.path.join(KG_BASE_DIRECTORY, "finance", "finance_marketcap.sqlite") logger.info(f"Reading market capitalization from: {market_cap_path}") self.market_cap = SqliteDict(market_cap_path) # Financial info financial_info_path = os.path.join(KG_BASE_DIRECTORY, "finance", "finance_info.sqlite") logger.info(f"Reading financial information from: {financial_info_path}") self.financial_info = SqliteDict(financial_info_path) def normalize(self, x:str) -> str: """ Normalize a given string. arg: x: str output: normalized string value: str """ return " ".join(x.lower().replace("_", " ").translate(str.maketrans('', '', string.punctuation)).split()) def get_company_name(self, query:str) -> list[str]: """ Given a query, return top matched company names. arg: query: str output: top matched company names: list[str] """ query = self.normalize(query) scores = self.bm25.get_scores(query.split()) top_idx = np.argsort(scores)[::-1][:self.fuzzy_n] top_ne = [" ".join(self.corpus[i]) for i in top_idx if scores[i] != 0] top_e = [] for ne in top_ne: assert(ne in self.key_map) top_e += self.key_map[ne] return top_e[:self.fuzzy_n] def get_ticker_by_name(self, company_name:str) -> str: """ Return ticker name by company name. arg: company_name: the company name: str output: the ticker name of the company: str """ return self.name_dict.get(company_name, None) def get_price_history(self, ticker_name:str): """ Return 1 year history of daily Open price, Close price, High price, Low price and trading Volume. arg: ticker_name: str output: 1 year daily price history: json example: {'2023-02-28 00:00:00 EST': {'Open': 17.258894515434886, 'High': 17.371392171233836, 'Low': 17.09014892578125, 'Close': 17.09014892578125, 'Volume': 45100}, '2023-03-01 00:00:00 EST': {'Open': 17.090151299382544, 'High': 17.094839670907174, 'Low': 16.443295499989794, 'Close': 16.87453269958496, 'Volume': 104300}, ... } """ db = self.price_history if ticker_name in db: return db[ticker_name] def get_detailed_price_history(self, ticker_name:str): """ Return the past 5 days' history of 1 minute Open price, Close price, High price, Low price and trading Volume, starting from 09:30:00 EST to 15:59:00 EST. Note that the Open, Close, High, Low, Volume are the data for the 1 min duration. However, the Open at 9:30:00 EST may not be equal to the daily Open price, and Close at 15:59:00 EST may not be equal to the daily Close price, due to handling of the paper trade. The sum of the 1 minute Volume may not be equal to the daily Volume. arg: ticker_name: str output: past 5 days' 1 min price history: json example: {'2024-02-22 09:30:00 EST': {'Open': 15.920000076293945, 'High': 15.920000076293945, 'Low': 15.920000076293945, 'Close': 15.920000076293945, 'Volume': 629}, '2024-02-22 09:31:00 EST': {'Open': 15.989999771118164, 'High': 15.989999771118164, 'Low': 15.989999771118164, 'Close': 15.989999771118164, 'Volume': 108}, ... } """ db = self.detailed_price_history if ticker_name in db: return db[ticker_name] def get_dividends_history(self, ticker_name:str): """ Return dividend history of a ticker. arg: ticker_name: str output: dividend distribution history: json example: {'2019-12-19 00:00:00 EST': 0.058, '2020-03-19 00:00:00 EST': 0.2, '2020-06-12 00:00:00 EST': 0.2, ... } """ db = self.dividend_history if ticker_name in db: return db[ticker_name] def get_market_capitalization(self, ticker_name: str) -> float: """ Return the market capitalization of a ticker. arg: ticker_name: str output: market capitalization: float """ db = self.market_cap if ticker_name in db: return db[ticker_name] def get_eps(self, ticker_name:str) -> float: """ Return earnings per share of a ticker. arg: ticker_name: str output: earnings per share: float """ db = self.financial_info if ticker_name in db and 'forwardEps' in db[ticker_name]: return db[ticker_name]['forwardEps'] def get_pe_ratio(self, ticker_name:str) -> float: """ Return price-to-earnings ratio of a ticker. arg: ticker_name: str output: price-to-earnings ratio: float """ db = self.financial_info if ticker_name in db and 'forwardPE' in db[ticker_name]: return db[ticker_name]['forwardPE'] def get_info(self, ticker_name:str): """ Return meta data of a ticker. arg: ticker_name: str output: meta information: json """ db = self.financial_info if ticker_name in db: return db[ticker_name] ================================================ FILE: mock_api/cragapi/movie.py ================================================ # Copyright (c) Meta Platforms, Inc. and affiliates. # All rights reserved. # This source code is licensed under the license found in the # LICENSE file in the root directory of this source tree. import json import os import string from typing import Any, Dict, List, Tuple import numpy as np from loguru import logger from rank_bm25 import BM25Okapi KG_BASE_DIRECTORY = os.getenv("KG_BASE_DIRECTORY", "cragkg") class MovieKG: '''Knowledge Graph API for movie domain Mock KG API for movie domain. Supports getting information of movies and of persons including cast and crew. ''' def __init__(self, top_n: int=10) -> None: '''Initialize API and load data. Loads 3 dbs from json Args: top_n: max number of entities to return in entity search ''' # Reading the year database year_db_path = os.path.join(KG_BASE_DIRECTORY, "movie", "year_db.json") logger.info(f"Reading year database from: {year_db_path}") with open(year_db_path) as f: self._year_db = json.load(f) # Reading the person database person_db_path = os.path.join(KG_BASE_DIRECTORY, "movie", "person_db.json") logger.info(f"Reading person database from: {person_db_path}") with open(person_db_path) as f: self._person_db = json.load(f) # Reading the movie database movie_db_path = os.path.join(KG_BASE_DIRECTORY, "movie", "movie_db.json") logger.info(f"Reading movie database from: {movie_db_path}") with open(movie_db_path) as f: self._movie_db = json.load(f) self._top_n = top_n self._person_db_lookup = self._get_direct_lookup_db(self._person_db) self._movie_db_lookup = self._get_direct_lookup_db(self._movie_db) self._movie_corpus, self._movie_bm25 = self._get_ranking_db(self._movie_db) self._person_corpus, self._person_bm25 = self._get_ranking_db(self._person_db) logger.info("Movie KG initialized ✅") def _normalize(self, x: str) -> str: '''Helper function for normalizing text Args: x: string to be normalized Returns: normalized string ''' return " ".join(x.lower().replace("_", " ").translate(str.maketrans('', '', string.punctuation)).split()) def _get_ranking_db(self, db: Dict[str, Any]) -> Tuple[List[str], BM25Okapi]: '''Helper function to get BM25 index Args: db: dictionary of entities keyed by entity name Returns: corpus: list of entity names corresponding to BM25 index position bm25: BM25 index ''' corpus = [i.split() for i in db.keys()] bm25 = BM25Okapi(corpus) return corpus, bm25 def _get_direct_lookup_db(self, db: Dict[str, Any]) -> Dict[int, Any]: '''Converts name-indexed db to id-indexed db for latency optimization Args: db: dictionary of entities keyed by normalized entity name Returns: dictionary of entities keyed by unique entity id ''' temp_db = {} for key, value in db.items(): if 'id' in value: temp_db[value['id']] = value return temp_db def _search_entity_by_name(self, query: str, bm25: BM25Okapi, corpus: List[str], map_db: Dict[str, Any]) -> List[Dict[str, Any]]: '''BM25 search for top n=10 matching entities Args: query: string to be searched bm25: BM25 index corpus: list of entity names corresponding to BM25 index position map_db: dictionary of entities keyed by normalized entity name Returns: list of top n matching entities. Each entity is a tuple of (normalized entity name, entity info) ''' n = self._top_n query = self._normalize(query) scores = bm25.get_scores(query.split()) top_idx = np.argsort(scores)[::-1][:n] top_ne = [" ".join(corpus[i]) for i in top_idx if scores[i] != 0] top_e = [] for ne in top_ne[:n]: assert(ne in map_db) top_e.append(map_db[ne]) return top_e[:n] def get_person_info(self, person_name: str) -> List[Dict[str, Any]]: '''Gets person info in database through BM25. Gets person info through BM25 Search. The returned entities MAY contain the following fields: - name (string): name of person - id (int): unique id of person - acted_movies (list[int]): list of movie ids in which person acted - directed_movies (list[int]): list of movie ids in which person directed - birthday (string): string of person's birthday, in the format of "YYYY-MM-DD" - oscar_awards: list of oscar awards (dict), win or nominated, in which the person was the entity. The format for oscar award entity are: 'year_ceremony' (int): year of the oscar ceremony, 'ceremony' (int): which ceremony. for example, ceremony = 50 means the 50th oscar ceremony, 'category' (string): category of this oscar award, 'name' (string): name of the nominee, 'film' (string): name of the film, 'winner' (bool): whether the person won the award Args: person_name: string to be searched Returns: list of top n matching entities. Entities are ranked by BM25 score. ''' res = self._search_entity_by_name(person_name, self._person_bm25, self._person_corpus, self._person_db) return res def get_movie_info(self, person_name: str) -> List[Dict[str, Any]]: '''Gets movie info in database through BM25. Gets movie info through BM25 Search. The returned entities MAY contain the following fields: - title (string): title of movie - id (int): unique id of movie - release_date (string): string of movie's release date, in the format of "YYYY-MM-DD" - original_title (string): original title of movie, if in another language other than english - original_language (string): original language of movie. Example: 'en', 'fr' - budget (int): budget of movie, in USD - revenue (int): revenue of movie, in USD - rating (float): rating of movie, in range [0, 10] - genres (list[dict]): list of genres of movie. Sample genre object is {'id': 123, 'name': 'action'} - oscar_awards: list of oscar awards (dict), win or nominated, in which the movie was the entity. The format for oscar award entity are: 'year_ceremony' (int): year of the oscar ceremony, 'ceremony' (int): which ceremony. for example, ceremony = 50 means the 50th oscar ceremony, 'category' (string): category of this oscar award, 'name' (string): name of the nominee, 'film' (string): name of the film, 'winner' (bool): whether the person won the award - cast (list [dict]): list of cast members of the movie and their roles. The format of the cast member entity is: 'name' (string): name of the cast member, 'id' (int): unique id of the cast member, 'character' (string): character played by the cast member in the movie, 'gender' (string): the reported gender of the cast member. Use 2 for actor and 1 for actress, 'order' (int): order of the cast member in the movie. For example, the actress with the lowest order is the main actress, - crew' (list [dict]): list of crew members of the movie and their roles. The format of the crew member entity is: 'name' (string): name of the crew member, 'id' (int): unique id of the crew member, 'job' (string): job of the crew member, Args: movie_name: string to be searched Returns: list of top n matching entities. Entities are ranked by BM25 score. ''' res = self._search_entity_by_name(person_name, self._movie_bm25, self._movie_corpus, self._movie_db) return res def get_year_info(self, year: str) -> Dict[str, Any]: '''Gets info of a specific year Gets year info. The returned entity MAY contain the following fields: - movie_list: list of movie ids in the year. This field can be very long to a few thousand films - oscar_awards: list of oscar awards (dict), held in that particular year. The format for oscar award entity are: 'year_ceremony' (int): year of the oscar ceremony, 'ceremony' (int): which ceremony. for example, ceremony = 50 means the 50th oscar ceremony, 'category' (string): category of this oscar award, 'name' (string): name of the nominee, 'film' (string): name of the film, 'winner' (bool): whether the person won the award Args: year: string of year. Note that we only support years between 1990 and 2021 Returns: an entity representing year information ''' if int(year) not in range(1990, 2022): raise ValueError("Year must be between 1990 and 2021") return self._year_db.get(str(year), None) def get_movie_info_by_id(self, movie_id: int) -> Dict[str, Any]: '''Helper fast lookup function to get movie info directly by id Return a movie entity with same format as the entity in get_movie_info. Args: movie_id: unique id of movie Returns: an entity representing movie information ''' return self._movie_db_lookup.get(movie_id, None) def get_person_info_by_id(self, person_id: int) -> Dict[str, Any]: '''Helper fast lookup function to get person info directly by id Return a person entity with same format as the entity in get_person_info. Args: person_id: unique id of person Returns: an entity representing person information ''' return self._person_db_lookup.get(person_id, None) ================================================ FILE: mock_api/cragapi/music.py ================================================ # Copyright (c) Meta Platforms, Inc. and affiliates. # All rights reserved. # This source code is licensed under the license found in the # LICENSE file in the root directory of this source tree. import csv import json import os import pickle import string import time from datetime import datetime import numpy as np import pandas as pd from loguru import logger from tqdm import tqdm from .fast_bm25 import BM25 KG_BASE_DIRECTORY = os.getenv("KG_BASE_DIRECTORY", "cragkg") class MusicKG(object): def __init__(self): # Reading the artist dictionary artist_dict_path = os.path.join(KG_BASE_DIRECTORY, "music", "artist_dict_simplified.pickle") logger.info(f"Reading artist dictionary from: {artist_dict_path}") with open(artist_dict_path, 'rb') as file: self.artist_dict = pickle.load(file) # Reading the song dictionary song_dict_path = os.path.join(KG_BASE_DIRECTORY, "music", "song_dict_simplified.pickle") logger.info(f"Reading song dictionary from: {song_dict_path}") with open(song_dict_path, 'rb') as file: self.song_dict = pickle.load(file) # Reading the Grammy DataFrame grammy_df_path = os.path.join(KG_BASE_DIRECTORY, "music", "grammy_df.pickle") logger.info(f"Reading Grammy DataFrame from: {grammy_df_path}") with open(grammy_df_path, 'rb') as file: self.grammy_df = pickle.load(file) # Reading the rank dictionary for Hot 100 rank_dict_hot_path = os.path.join(KG_BASE_DIRECTORY, "music", "rank_dict_hot100.pickle") logger.info(f"Reading rank dictionary for Hot 100 from: {rank_dict_hot_path}") with open(rank_dict_hot_path, 'rb') as file: self.rank_dict_hot = pickle.load(file) # Reading the song dictionary for Hot 100 song_dict_hot_path = os.path.join(KG_BASE_DIRECTORY, "music", "song_dict_hot100.pickle") logger.info(f"Reading song dictionary for Hot 100 from: {song_dict_hot_path}") with open(song_dict_hot_path, 'rb') as file: self.song_dict_hot = pickle.load(file) # Reading the artist work dictionary artist_work_dict_path = os.path.join(KG_BASE_DIRECTORY, "music", "artist_work_dict.pickle") logger.info(f"Reading artist work dictionary from: {artist_work_dict_path}") with open(artist_work_dict_path, 'rb') as file: self.artist_work_dict = pickle.load(file) self.key_map_artist = {} self.corpus_artist = [] for e in self.artist_dict.keys(): ne = self.normalize(e) ne_split = str(ne.split()) if ne_split not in self.key_map_artist: self.key_map_artist[ne_split] = [] self.key_map_artist[ne_split].append(e) self.corpus_artist.append(ne) self.corpus_artist = list(set(self.corpus_artist)) self.corpus_artist.sort() self.corpus_artist = [ne.split() for ne in self.corpus_artist] self.bm25_artist = BM25(self.corpus_artist) self.key_map_song = {} self.corpus_song = [] for e in self.song_dict.keys(): ne = self.normalize(e) ne_split = str(ne.split()) if ne_split not in self.key_map_song: self.key_map_song[ne_split] = [] self.key_map_song[ne_split].append(e) self.corpus_song.append(ne) self.corpus_song = list(set(self.corpus_song)) self.corpus_song.sort() self.corpus_song = [ne.split() for ne in self.corpus_song] self.bm25_song = BM25(self.corpus_song) logger.info("Music KG initialized ✅") def normalize(self, x): return " ".join(x.lower().replace("_", " ").translate(str.maketrans('', '', string.punctuation)).split()) def search_artist_entity_by_name(self, query): """ Return the fuzzy matching results of the query (artist name); we only return the top-10 similar results from our KB Args: query (str): artist name Returns: Top-10 similar entity name in a list """ n = 10 query = self.normalize(query) results = self.bm25_artist.get_top_n(query.split(), self.corpus_artist, n=n) top_e = [] for cur_ne_str in results: assert(str(cur_ne_str) in self.key_map_artist.keys()) top_e += self.key_map_artist[str(cur_ne_str)] return top_e[:n] def search_song_entity_by_name(self, query): """ Return the fuzzy matching results of the query (song name); we only return the top-10 similar results from our KB Args: query (str): song name Returns: Top-10 similar entity name in a list """ n = 10 query = self.normalize(query) results = self.bm25_song.get_top_n(query.split(), self.corpus_song, n=n) top_e = [] for cur_ne_str in results: assert(str(cur_ne_str) in self.key_map_song.keys()) top_e += self.key_map_song[str(cur_ne_str)] return top_e[:n] def get_billboard_rank_date(self, rank, date=None): """ Return the song name(s) and the artist name(s) of a certain rank on a certain date; If no date is given, return the list of of a certain rank of all dates. Args: rank (int): the interested rank in billboard; from 1 to 100. date (Optional, str, in YYYY-MM-DD format): the interested date; leave it blank if do not want to specify the date. Returns: rank_list (list): a list of song names of a certain rank (on a certain date). artist_list (list): a list of author names corresponding to the song names returned. """ rank_list = [] artist_list = [] if not str(rank) in self.rank_dict_hot.keys(): return None, None else: if date: for item in self.rank_dict_hot[str(rank)]: if item['Date'] == date: return [item['Song']], [item['Artist']] else: for item in self.rank_dict_hot[str(rank)]: rank_list.append(item['Song']) artist_list.append(item['Artist']) return rank_list, artist_list def get_billboard_attributes(self, date, attribute, song_name): """ Return the attributes of a certain song on a certain date Args: date (str, in YYYY-MM-DD format): the interested date of the song attribute (str): attributes from ['rank_last_week', 'weeks_in_chart', 'top_position', 'rank'] song_name (str): the interested song name Returns: cur_value (str): the value of the interested attribute of a song on a certain date """ if not song_name in self.song_dict_hot: return None else: cur_dict = self.song_dict_hot[song_name] if not date in cur_dict.keys(): return None else: row = cur_dict[date] if row[6] == '-': if attribute == 'rank_last_week': cur_value = row[6] elif attribute == 'weeks_in_chart': cur_value = row[5] elif attribute == 'top_position': cur_value = row[4] else: cur_value = row[3] else: if attribute == 'rank_last_week': cur_value = row[4] elif attribute == 'weeks_in_chart': cur_value = row[6] elif attribute == 'top_position': cur_value = row[5] else: cur_value = row[3] return cur_value def grammy_get_best_artist_by_year(self, year): """ Return the Best New Artist of a certain year in between 1958 and 2019 Args: year (int, in YYYY format): the interested year Returns: artist_list (list): the list of artists who win the award """ if year<1957 or year>2019: return None else: filtered_df = self.grammy_df[(self.grammy_df['category'] == 'Best New Artist') & (self.grammy_df['year'] == year)] artist_list = filtered_df['nominee'].tolist() return artist_list def grammy_get_award_count_by_artist(self, artist_name): """ Return the number of awards won by a certain artist between 1958 and 2019 Args: artist_name (str): the name of the artist Returns: the number of total awards (int) """ total_unique_rows_artist = 0 total_unique_rows_nominee = 0 total_unique_rows_worker = 0 for value in self.grammy_df['nominee']: if artist_name in str(value): total_unique_rows_nominee += 1 for value in self.grammy_df['artist']: if artist_name in str(value): total_unique_rows_artist += 1 for value in self.grammy_df['workers']: if artist_name in str(value): total_unique_rows_worker += 1 return total_unique_rows_nominee + total_unique_rows_artist + total_unique_rows_worker def grammy_get_award_count_by_song(self, song_name): """ Return the number of awards won by a certain song between 1958 and 2019 Args: song_name (str): the name of the song Returns: the number of total awards (int) """ total_unique_rows_nominee = len(self.grammy_df[self.grammy_df['nominee']==song_name]) return total_unique_rows_nominee def grammy_get_best_song_by_year(self, year): """ Return the Song Of The Year in a certain year between 1958 and 2019 Args: year (int, in YYYY format): the interested year Returns: song_list (list): the list of the song names that win the Song Of The Year in a certain year """ if year<1957 or year>2019: return None else: filtered_df = self.grammy_df[(self.grammy_df['category'] == 'Song Of The Year') & (self.grammy_df['year'] == year)] song_list = filtered_df['nominee'].tolist() return song_list def grammy_get_award_date_by_artist(self, artist_name): """ Return the award winning years of a certain artist Args: artist_name (str): the name of the artist Returns: selected_years (list): the list of years the artist is awarded """ idx = [] for i, value in enumerate(self.grammy_df['nominee']): if artist_name in str(value): idx.append(i) for i, value in enumerate(self.grammy_df['artist']): if artist_name in str(value): idx.append(i) for i, value in enumerate(self.grammy_df['workers']): if artist_name in str(value): idx.append(i) selected_idx = list(set(idx)) selected_years = [] for cur_idx in selected_idx: selected_years.append(self.grammy_df['year'][cur_idx]) selected_years = list(set(selected_years)) selected_years = [int(x) for x in selected_years] return selected_years def grammy_get_best_album_by_year(self, year): """ Return the Album Of The Year of a certain year between 1958 and 2019 Args: year (int, in YYYY format): the interested year Returns: song_list (list): the list of albums that won the Album Of The Year in a certain year """ if year<1957 or year>2019: return None else: filtered_df = self.grammy_df[(self.grammy_df['category'] == 'Album Of The Year') & (self.grammy_df['year'] == year)] song_list = filtered_df['nominee'].tolist() return song_list def grammy_get_all_awarded_artists(self): """Return all the artists ever awarded Grammy Best New Artist between 1958 and 2019 Args: None Returns: nominee_values (list): the list of artist ever awarded Grammy Best New Artist """ nominee_values = self.grammy_df[self.grammy_df['category'] == 'Best New Artist']['nominee'].dropna().unique().tolist() return nominee_values def get_artist_birth_place(self, artist_name): """ Return the birth place country code (2-digit) for the input artist Args: artist_name (str): the name of the artist Returns: country (str): the two-digit country code following ISO-3166 """ try: d = self.artist_dict[artist_name] country = d['country'] if country: return country else: return None except: return None def get_artist_birth_date(self, artist_name): """ Return the birth date of the artist Args: artist_name (str): the name of the artist Returns: life_span_begin (str, in YYYY-MM-DD format if possible): the birth date of the person or the begin date of a band """ try: d = self.artist_dict[artist_name] life_span_begin = d['birth_date'] if life_span_begin: return life_span_begin else: return None except: return None def get_members(self, band_name): """ Return the member list of a band Args: band_name (str): the name of the band Returns: the list of members' names. """ try: d = self.artist_dict[band_name] members = d['members'] return list(set(members)) except: return None def get_lifespan(self, artist_name): """ Return the lifespan of the artist Args: artist_name (str): the name of the artist Returns: the birth and death dates in a list """ try: d = self.artist_dict[artist_name] life_span_begin = d['birth_date'] life_span_end = d['end_date'] life = [life_span_begin, life_span_end] return life except: return [None, None] def get_song_author(self, song_name): """ Return the author of the song Args: song_name (str): the name of the song Returns: author (str): the author of the song """ try: d = self.song_dict[song_name] author = d['author'] if author: return author else: return None except: return None def get_song_release_country(self, song_name): """ Return the release country of the song Args: song_name (str): the name of the song Returns: country (str): the two-digit country code following ISO-3166 """ try: d = self.song_dict[song_name] country = d['country'] if country: return country else: return None except: return None def get_song_release_date(self, song_name): """ Return the release date of the song Args: song_name (str): the name of the song Returns: date (str in YYYY-MM-DD format): the date of the song """ try: d = self.song_dict[song_name] date = d['date'] if date: return date else: return None except: return None def get_artist_all_works(self, artist_name): """ Return the list of all works of a certain artist Args: artist_name (str): the name of the artist Returns: work_list (list): the list of all work names """ if artist_name in self.artist_work_dict.keys(): work_list = self.artist_work_dict[artist_name] return work_list else: return None ================================================ FILE: mock_api/cragapi/open.py ================================================ # Copyright (c) Meta Platforms, Inc. and affiliates. # All rights reserved. # This source code is licensed under the license found in the # LICENSE file in the root directory of this source tree. import bz2 import json import os import string import numpy as np from loguru import logger from rank_bm25 import BM25Okapi KG_BASE_DIRECTORY = os.getenv("KG_BASE_DIRECTORY", "cragkg") class OpenKG(object): def __init__(self): self.kg = {} for i in range(2): open_kg_file = os.path.join(KG_BASE_DIRECTORY, "open", "kg."+str(i)+".jsonl.bz2") logger.info(f"Reading open_kg file from: {open_kg_file}") with bz2.open(open_kg_file, "rt", encoding='utf8') as f: l = f.readline() while l: l = json.loads(l) self.kg[l[0]] = l[1] l = f.readline() self.key_map = {} self.corpus = [] for e in self.kg: ne = self.normalize(e) if ne not in self.key_map: self.key_map[ne] = [] self.key_map[ne].append(e) self.corpus.append(ne) self.corpus = list(set(self.corpus)) self.corpus.sort() self.corpus = [ne.split() for ne in self.corpus] self.bm25 = BM25Okapi(self.corpus) logger.info("Open KG initialized ✅") def normalize(self, x): return " ".join(x.lower().replace("_", " ").translate(str.maketrans('', '', string.punctuation)).split()) def search_entity_by_name(self, query): n = 10 query = self.normalize(query) scores = self.bm25.get_scores(query.split()) top_idx = np.argsort(scores)[::-1][:n] top_ne = [" ".join(self.corpus[i]) for i in top_idx if scores[i] != 0] top_e = [] for ne in top_ne: assert(ne in self.key_map) top_e += self.key_map[ne] return top_e[:n] def get_entity(self, entity): return self.kg[entity] if entity in self.kg else None ================================================ FILE: mock_api/cragapi/sports.py ================================================ # Copyright (c) Meta Platforms, Inc. and affiliates. # All rights reserved. # This source code is licensed under the license found in the # LICENSE file in the root directory of this source tree. import datetime import json import os import random import sqlite3 as sql import numpy as np import pandas as pd from dateutil import parser as dateutil_parser from loguru import logger KG_BASE_DIRECTORY = os.getenv("KG_BASE_DIRECTORY", "cragkg") class SoccerKG: def __init__(self, file_name='soccer_team_match_stats.pkl'): """ Load soccer KG at different time stamp for public and private set """ soccer_kg_file = os.path.join(KG_BASE_DIRECTORY, "sports", file_name) logger.info(f"Reading soccer KG from: {soccer_kg_file}") team_match_stats = pd.read_pickle(os.path.join(KG_BASE_DIRECTORY, "sports", file_name)) self.team_match_stats = team_match_stats[team_match_stats.index.get_level_values('league').notna()] logger.info("Soccer KG initialized ✅") # ==================== APIs for competitors ==================== def get_games_on_date(self, date_str, soccer_team_name=None): """ Description: Get all soccer game rows given date_str Input: - soccer_team_name: soccer team name, if None, get results for all teams - date_str: in format of %Y-%m-%d, %Y-%m or %Y, e.g. 2024-03-01, 2024-03, 2024 Output: a json contains info of the games """ parts = date_str.split('-') if soccer_team_name is None: filtered_df = self.team_match_stats else: filtered_df = self.team_match_stats.loc[(slice(None), slice(None), soccer_team_name, slice(None)), :] if len(parts) == 3: # date filtered_df = filtered_df[filtered_df['date'].dt.strftime('%Y-%m-%d') == date_str] elif len(parts) == 2: # month year filtered_df = filtered_df[filtered_df['date'].dt.strftime('%Y-%m') == date_str] elif len(parts) == 1: # year filtered_df = filtered_df[filtered_df['date'].dt.strftime('%Y') == date_str] else: filtered_df = None if filtered_df is not None and len(filtered_df) > 0: return filtered_df.to_json(date_format='iso') class NBAKG: # ==================== Helper funcs ==================== def __init__(self): nba_kg_file = os.path.join(KG_BASE_DIRECTORY, "sports", 'nba.sqlite') logger.info(f"Reading NBA KG from: {nba_kg_file}") self.conn = sql.connect(nba_kg_file) # create connection object to database logger.info("NBA KG initialized ✅") def get_time_cond(self, date_str): """Helper funcs""" parts = date_str.split('-') if len(parts) == 3: # date return f"strftime('%Y-%m-%d',game_date) = '{date_str}'" elif len(parts) == 2: # month year return f"strftime('%Y-%m',game_date) = '{date_str}'" elif len(parts) == 1: # year return f"strftime('%Y',game_date) = '{date_str}'" else: return "1" def team_in_game_cond(self, basketball_team_name): """Helper funcs""" return f"(team_name_home = '{basketball_team_name}' or team_name_away = '{basketball_team_name}')" # ==================== API for competitors ==================== def get_games_on_date(self, date_str, basketball_team_name=None): """ Description: Get all nba game rows given date_str Input: date_str in format of %Y-%m-%d, %Y-%m, or %Y, e.g. 2023-01-01, 2023-01, 2023, basketball_team_name (Optional) Output: a json contains info of the game """ if basketball_team_name is not None: team_cond = self.team_in_game_cond(basketball_team_name) time_cond = self.get_time_cond(date_str) df_game_by_team = pd.read_sql(f"select * from game where {team_cond} and {time_cond}", self.conn) if len(df_game_by_team) > 0: return df_game_by_team.to_json(date_format='iso') else: time_cond = self.get_time_cond(date_str) df_game_by_team = pd.read_sql(f"select * from game where {time_cond}", self.conn) if len(df_game_by_team) > 0: return df_game_by_team.to_json(date_format='iso') def get_play_by_play_data_by_game_ids(self, game_ids): """ Description: Get all nba play by play rows given game ids Input: list of nba game ids, e.g., ["0022200547", "0029600027"] Output: info of the play by play events of given game id """ game_ids_str = ', '.join(f"'{game_id}'" for game_id in game_ids) df_play_by_play_by_gameids = pd.read_sql(f"select * from play_by_play where game_id in ({game_ids_str})", self.conn) if len(df_play_by_play_by_gameids) > 0: return df_play_by_play_by_gameids.to_json(date_format='iso') ================================================ FILE: mock_api/cragkg/.gitattributes ================================================ 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sha256:bb8e988448b76518eb0e16ae894afa982187f972956dd12bd8e787b1a9f732f4 size 234549979 ================================================ FILE: mock_api/cragkg/open/kg.0.jsonl.bz2 ================================================ version https://git-lfs.github.com/spec/v1 oid sha256:3c25a6533bab6d13254f627ddb2f69f60a127233ec51990c9109bf88e800ee30 size 26290049 ================================================ FILE: mock_api/cragkg/open/kg.1.jsonl.bz2 ================================================ version https://git-lfs.github.com/spec/v1 oid sha256:a636adabb4b5af258f734bf2ad1a24a82ef84f451aaaec5e5324c4ce5753971a size 17313388 ================================================ FILE: mock_api/cragkg/sports/soccer_team_match_stats.pkl ================================================ version https://git-lfs.github.com/spec/v1 oid sha256:86c78cb0e43f294f94d329083b4cfd31f05efed23d3ba51ed9e40dbcad656724 size 462407 ================================================ FILE: mock_api/requirements.txt ================================================ fastapi==0.103.0 uvicorn[standard] pydantic==2.5.3 rank_bm25 tqdm pandas==2.0.3 lxml sqlitedict==2.1.0 loguru ================================================ FILE: mock_api/server.py ================================================ # Copyright (c) Meta Platforms, Inc. and affiliates. # All rights reserved. # This source code is licensed under the license found in the # LICENSE file in the root directory of this source tree. import json from typing import Annotated from typing import Optional from typing import List from contextlib import asynccontextmanager from fastapi import FastAPI, Query from pydantic import BaseModel from cragapi.open import OpenKG from cragapi.movie import MovieKG from cragapi.finance import FinanceKG from cragapi.music import MusicKG from cragapi.sports import SoccerKG, NBAKG API = {} @asynccontextmanager async def lifespan(app: FastAPI): # startup API["open"] = OpenKG() API["movie"] = MovieKG() API["finance"] = FinanceKG() API["music"] = MusicKG() API["sports"] = {"soccer": SoccerKG(), "nba": NBAKG()} yield # shutdown app = FastAPI( swagger_ui_parameters={"tryItOutEnabled": True}, title="CRAG API", description="API for Meta KDD Cup '24 CRAG: Comprehensive RAG Benchmark", lifespan=lifespan ) @app.get("/") async def root(): return {"message": "The CRAG API service is running"} class QueryOpenName(BaseModel): query: str model_config = { "json_schema_extra": { "examples": [ { "query": "florida", } ] } } @app.post("/open/search_entity_by_name", responses={ 200: { "content": { "application/json": { "example": "[[Click 'Execute' to get the response]]" } } } }) async def open_search_entity_by_name(query: QueryOpenName): """ Get a list of entities that best match the query. It returns at most 10 entities at a time. Args: - query (str): the query Returns: - A list of entities (List[str]) """ result = API["open"].search_entity_by_name(query.query) return {"result": result} class QueryOpenEntity(BaseModel): query: str model_config = { "json_schema_extra": { "examples": [ { "query": "Florida City, Florida", } ] } } @app.post("/open/get_entity", responses={ 200: { "content": { "application/json": { "example": "[[Click 'Execute' to get the response]]" } } } }) async def open_get_entity(entity: QueryOpenEntity): """ Get the details of the entity. Args: - query (str): the entity Returns: - None if the entity is not found. Otherwise, there are three fields in the returned Dict: * "summary_text": It is in a similar form as the lead section of an article from Wikipedia without structured information. * "summary_structured": It is a Dict[str, str], whose function is similar to the infobox in a Wikipedia article, but in a key-value Dict parsed by mwparserfromhell. * "raw_mediawiki": It is in the same format as the source code of a whole article from Wikpedia. """ result = API["open"].get_entity(entity.query) return {"result": result} class QueryMoviePerson(BaseModel): query: str model_config = { "json_schema_extra": { "examples": [ { "query": "Jackson", } ] } } @app.post("/movie/get_person_info", responses={ 200: { "content": { "application/json": { "example": "[[Click 'Execute' to get the response]]" } } } }) async def movie_get_person_info(person_name: QueryMoviePerson): """ Gets person info in database through BM25. Args: - query (str): person name to be searched Returns: - list of top n matching entities (List[Dict[str, Any]]). Entities are ranked by BM25 score. The returned entities MAY contain the following fields: - name (string): name of person - id (int): unique id of person - acted_movies (list[int]): list of movie ids in which person acted - directed_movies (list[int]): list of movie ids in which person directed - birthday (string): string of person's birthday, in the format of "YYYY-MM-DD" - oscar_awards: list of oscar awards (dict), win or nominated, in which the person was the entity. The format for oscar award entity are: - 'year_ceremony' (int): year of the oscar ceremony, - 'ceremony' (int): which ceremony. for example, ceremony = 50 means the 50th oscar ceremony, - 'category' (string): category of this oscar award, - 'name' (string): name of the nominee, - 'film' (string): name of the film, - 'winner' (bool): whether the person won the award """ result = API["movie"].get_person_info(person_name.query) return {"result": result} class QueryMovieMovie(BaseModel): query: str model_config = { "json_schema_extra": { "examples": [ { "query": "Lord of the Rings", } ] } } @app.post("/movie/get_movie_info", responses={ 200: { "content": { "application/json": { "example": "[[Click 'Execute' to get the response]]" } } } }) async def movie_get_movie_info(person_name: QueryMovieMovie): """ Gets movie info in database through BM25. Args: - query (str): movie name to be searched Returns: - list of top n matching entities (List[Dict[str, Any]]). Entities are ranked by BM25 score. The returned entities MAY contain the following fields: - title (string): title of movie - id (int): unique id of movie - release_date (string): string of movie's release date, in the format of "YYYY-MM-DD" - original_title (string): original title of movie, if in another language other than english - original_language (string): original language of movie. Example: 'en', 'fr' - budget (int): budget of movie, in USD - revenue (int): revenue of movie, in USD - rating (float): rating of movie, in range [0, 10] - genres (list[dict]): list of genres of movie. Sample genre object is {'id': 123, 'name': 'action'} - oscar_awards: list of oscar awards (dict), win or nominated, in which the movie was the entity. The format for oscar award entity are: - 'year_ceremony' (int): year of the oscar ceremony, - 'ceremony' (int): which ceremony. for example, ceremony = 50 means the 50th oscar ceremony, - 'category' (string): category of this oscar award, - 'name' (string): name of the nominee, - 'film' (string): name of the film, - 'winner' (bool): whether the person won the award - cast (list [dict]): list of cast members of the movie and their roles. The format of the cast member entity is: - 'name' (string): name of the cast member, - 'id' (int): unique id of the cast member, - 'character' (string): character played by the cast member in the movie, - 'gender' (string): the reported gender of the cast member. Use 2 for actor and 1 for actress, - 'order' (int): order of the cast member in the movie. For example, the actress with the lowest order is the main actress, - crew' (list [dict]): list of crew members of the movie and their roles. The format of the crew member entity is: - 'name' (string): name of the crew member, - 'id' (int): unique id of the crew member, - 'job' (string): job of the crew member, """ result = API["movie"].get_movie_info(person_name.query) return {"result": result} class QueryMovieYear(BaseModel): query: str model_config = { "json_schema_extra": { "examples": [ { "query": "1992", } ] } } @app.post("/movie/get_year_info", responses={ 200: { "content": { "application/json": { "example": "[[Click 'Execute' to get the response]]" } } } }) async def movie_get_year_info(year: QueryMovieYear): """ Gets info of a specific year Args: - query (str): string of year. Note that we only support years between 1990 and 2021 Returns: - An entity representing year information (Dict[str, Any]). The returned entity MAY contain the following fields: - movie_list: list of movie ids in the year. This field can be very long to a few thousand films - oscar_awards: list of oscar awards (dict), held in that particular year. The format for oscar award entity are: - 'year_ceremony' (int): year of the oscar ceremony, - 'ceremony' (int): which ceremony. for example, ceremony = 50 means the 50th oscar ceremony, - 'category' (string): category of this oscar award, - 'name' (string): name of the nominee, - 'film' (string): name of the film, - 'winner' (bool): whether the person won the award """ result = API["movie"].get_year_info(year.query) return {"result": result} class QueryMovieID(BaseModel): query: int model_config = { "json_schema_extra": { "examples": [ { "query": 100, } ] } } @app.post("/movie/get_movie_info_by_id", responses={ 200: { "content": { "application/json": { "example": "[[Click 'Execute' to get the response]]" } } } }) async def movie_get_movie_info_by_id(movie_id: QueryMovieID): """ Helper fast lookup function to get movie info directly by id Args: - query (int): unique id of movie Returns: - A movie entity (Dict[str, Any]) with same format as the entity in get_movie_info. """ result = API["movie"].get_movie_info_by_id(movie_id.query) return {"result": result} @app.post("/movie/get_person_info_by_id", responses={ 200: { "content": { "application/json": { "example": "[[Click 'Execute' to get the response]]" } } } }) async def movie_get_person_info_by_id(person_id: QueryMovieID): """ Helper fast lookup function to get person info directly by id Args: - query (int): unique id of person Returns: - A person entity (Dict[str, Any]) with same format as the entity in get_person_info. """ result = API["movie"].get_person_info_by_id(person_id.query) return {"result": result} class QueryFinanceName(BaseModel): query: str model_config = { "json_schema_extra": { "examples": [ { "query": "Apple", } ] } } @app.post("/finance/get_company_name", responses={ 200: { "content": { "application/json": { "example": "[[Click 'Execute' to get the response]]" } } } }) async def finance_get_company_name(query: QueryFinanceName): """ Given a query, return top matched company names. Args: - query (str): the query Returns: - Top matched company names (list[str]). """ result = API["finance"].get_company_name(query.query) return {"result": result} class QueryFinanceCompanyName(BaseModel): query: str model_config = { "json_schema_extra": { "examples": [ { "query": "Inflection Point Acquisition Corp. II Unit", } ] } } @app.post("/finance/get_ticker_by_name", responses={ 200: { "content": { "application/json": { "example": "[[Click 'Execute' to get the response]]" } } } }) async def finance_get_ticker_by_name(company_name: QueryFinanceCompanyName): """ Return ticker name by company name. Args: - query (str): the company name Returns: - The ticker name of the company (str). """ result = API["finance"].get_ticker_by_name(company_name.query) return {"result": result} class QueryFinanceTicker(BaseModel): query: str model_config = { "json_schema_extra": { "examples": [ { "query": "META", } ] } } @app.post("/finance/get_price_history", responses={ 200: { "content": { "application/json": { "example": "[[Click 'Execute' to get the response]]" } } } }) async def finance_get_price_history(ticker_name: QueryFinanceTicker): """ Return 1 year history of daily Open price, Close price, High price, Low price and trading Volume. Args: - query (str): ticker_name Returns: - 1 year daily price history whose format follows the below example: {'2023-02-28 00:00:00 EST': {'Open': 17.258894515434886, 'High': 17.371392171233836, 'Low': 17.09014892578125, 'Close': 17.09014892578125, 'Volume': 45100}, '2023-03-01 00:00:00 EST': {'Open': 17.090151299382544, 'High': 17.094839670907174, 'Low': 16.443295499989794, 'Close': 16.87453269958496, 'Volume': 104300}, ... } """ result = API["finance"].get_price_history(ticker_name.query) return {"result": result} @app.post("/finance/get_detailed_price_history", responses={ 200: { "content": { "application/json": { "example": "[[Click 'Execute' to get the response]]" } } } }) async def finance_get_detailed_price_history(ticker_name: QueryFinanceTicker): """ Return the past 5 days' history of 1 minute Open price, Close price, High price, Low price and trading Volume, starting from 09:30:00 EST to 15:59:00 EST. Note that the Open, Close, High, Low, Volume are the data for the 1 min duration. However, the Open at 9:30:00 EST may not be equal to the daily Open price, and Close at 15:59:00 EST may not be equal to the daily Close price, due to handling of the paper trade. The sum of the 1 minute Volume may not be equal to the daily Volume. Args: - query (str): ticker_name Returns: - Past 5 days' 1 min price history whose format follows the below example: {'2024-02-22 09:30:00 EST': {'Open': 15.920000076293945, 'High': 15.920000076293945, 'Low': 15.920000076293945, 'Close': 15.920000076293945, 'Volume': 629}, '2024-02-22 09:31:00 EST': {'Open': 15.989999771118164, 'High': 15.989999771118164, 'Low': 15.989999771118164, 'Close': 15.989999771118164, 'Volume': 108}, ... } """ result = API["finance"].get_detailed_price_history(ticker_name.query) return {"result": result} @app.post("/finance/get_dividends_history", responses={ 200: { "content": { "application/json": { "example": "[[Click 'Execute' to get the response]]" } } } }) async def finance_get_dividends_history(ticker_name: QueryFinanceTicker): """ Return dividend history of a ticker. Args: - query (str): ticker_name Returns: - Dividend distribution history whose format follows the below example: {'2019-12-19 00:00:00 EST': 0.058, '2020-03-19 00:00:00 EST': 0.2, '2020-06-12 00:00:00 EST': 0.2, ... } """ result = API["finance"].get_dividends_history(ticker_name.query) return {"result": result} @app.post("/finance/get_market_capitalization", responses={ 200: { "content": { "application/json": { "example": "[[Click 'Execute' to get the response]]" } } } }) async def finance_get_market_capitalization(ticker_name: QueryFinanceTicker): """ Return the market capitalization of a ticker. Args: - query (str): ticker_name Returns: - Market capitalization (float) """ result = API["finance"].get_market_capitalization(ticker_name.query) return {"result": result} @app.post("/finance/get_eps", responses={ 200: { "content": { "application/json": { "example": "[[Click 'Execute' to get the response]]" } } } }) async def finance_get_eps(ticker_name: QueryFinanceTicker): """ Return earnings per share of a ticker. Args: - query (str): ticker_name Returns: - Earnings per share (float) """ result = API["finance"].get_eps(ticker_name.query) return {"result": result} @app.post("/finance/get_pe_ratio", responses={ 200: { "content": { "application/json": { "example": "[[Click 'Execute' to get the response]]" } } } }) async def finance_get_pe_ratio(ticker_name: QueryFinanceTicker): """ Return price-to-earnings ratio of a ticker. Args: - query (str): ticker_name Returns: - Price-to-earnings ratio (float) """ result = API["finance"].get_pe_ratio(ticker_name.query) return {"result": result} @app.post("/finance/get_info", responses={ 200: { "content": { "application/json": { "example": "[[Click 'Execute' to get the response]]" } } } }) async def finance_get_info(ticker_name: QueryFinanceTicker): """ Return meta data of a ticker. Args: - query (str): ticker_name: Returns: - Meta information """ result = API["finance"].get_info(ticker_name.query) return {"result": result} class QueryMusicArtistName(BaseModel): query: str model_config = { "json_schema_extra": { "examples": [ { "query": "lady gaga", } ] } } @app.post("/music/search_artist_entity_by_name", responses={ 200: { "content": { "application/json": { "example": "[[Click 'Execute' to get the response]]" } } } }) async def music_search_artist_entity_by_name(query: QueryMusicArtistName): """ Return the fuzzy matching results of the query (artist name). Args: - query (str): artist name Returns: - Top-10 similar entity name in a list """ result = API["music"].search_artist_entity_by_name(query.query) return {"result": result} class QueryMusicSongName(BaseModel): query: str model_config = { "json_schema_extra": { "examples": [ { "query": "I can feel IT", } ] } } @app.post("/music/search_song_entity_by_name", responses={ 200: { "content": { "application/json": { "example": "[[Click 'Execute' to get the response]]" } } } }) async def music_search_song_entity_by_name(query: QueryMusicSongName): """ Return the fuzzy matching results of the query (song name). Args: - query (str): song name Returns: - Top-10 similar entity name in a list """ result = API["music"].search_song_entity_by_name(query.query) return {"result": result} class QueryMusicRank(BaseModel): rank: int date: Optional[str] = None model_config = { "json_schema_extra": { "examples": [ { "rank": 1, "date": '2024-02-28' } ] } } @app.post("/music/get_billboard_rank_date", responses={ 200: { "content": { "application/json": { "example": "[[Click 'Execute' to get the response]]" } } } }) async def music_get_billboard_rank_date(query: QueryMusicRank): """ Return the song name(s) and the artist name(s) of a certain rank on a certain date; If no date is given, return the list of of a certain rank of all dates. Args: - rank (int): the interested rank in billboard; from 1 to 100. - date (Optional, str, in YYYY-MM-DD format): the interested date; leave it blank if do not want to specify the date. Returns: - rank_list (list): a list of song names of a certain rank (on a certain date). - artist_list (list): a list of author names corresponding to the song names returned. """ result = API["music"].get_billboard_rank_date(query.rank, query.date) return {"result": result} class QueryMusicAttribute(BaseModel): date: str attribute: str song_name: str model_config = { "json_schema_extra": { "examples": [ { "date": '2024-02-28', "attribute": 'weeks_in_chart', "song_name": 'Texas Hold \'Em' } ] } } @app.post("/music/get_billboard_attributes", responses={ 200: { "content": { "application/json": { "example": "[[Click 'Execute' to get the response]]" } } } }) async def music_get_billboard_attributes(query: QueryMusicAttribute): """ Return the attributes of a certain song on a certain date Args: - date (str, in YYYY-MM-DD format): the interested date of the song - attribute (str): attributes from ['rank_last_week', 'weeks_in_chart', 'top_position', 'rank'] - song_name (str): the interested song name Returns: - the value (str) of the interested attribute of a song on a certain date """ result = API["music"].get_billboard_attributes(query.date, query.attribute, query.song_name) return {"result": result} class QueryMusicYear(BaseModel): query: int model_config = { "json_schema_extra": { "examples": [ { "query": 1998, } ] } } @app.post("/music/grammy_get_best_artist_by_year", responses={ 200: { "content": { "application/json": { "example": "[[Click 'Execute' to get the response]]" } } } }) async def music_grammy_get_best_artist_by_year(year: QueryMusicYear): """ Return the Best New Artist of a certain year in between 1958 and 2019 Args: - query (int, in YYYY format): the interested year Returns: - the list of artists who win the award """ result = API["music"].grammy_get_best_artist_by_year(year.query) return {"result": result} class QueryMusicArtist(BaseModel): query: str model_config = { "json_schema_extra": { "examples": [ { "query": "Adele", } ] } } @app.post("/music/grammy_get_award_count_by_artist", responses={ 200: { "content": { "application/json": { "example": "[[Click 'Execute' to get the response]]" } } } }) async def music_grammy_get_award_count_by_artist(artist_name: QueryMusicArtist): """ Return the number of awards won by a certain artist between 1958 and 2019 Args: - query (str): the name of the artist Returns: - the number of total awards (int) """ result = API["music"].grammy_get_award_count_by_artist(artist_name.query) return {"result": result} class QueryMusicSong(BaseModel): query: str model_config = { "json_schema_extra": { "examples": [ { "query": "I Can Feel It", } ] } } @app.post("/music/grammy_get_award_count_by_song", responses={ 200: { "content": { "application/json": { "example": "[[Click 'Execute' to get the response]]" } } } }) async def music_grammy_get_award_count_by_song(song_name: QueryMusicSong): """ Return the number of awards won by a certain artist between 1958 and 2019 Args: - query (str): the name of the song Returns: - the number of total awards (int) """ result = API["music"].grammy_get_award_count_by_song(song_name.query) return {"result": result} @app.post("/music/grammy_get_best_song_by_year", responses={ 200: { "content": { "application/json": { "example": "[[Click 'Execute' to get the response]]" } } } }) async def music_grammy_get_best_song_by_year(year: QueryMusicYear): """ Return the Song Of The Year in a certain year between 1958 and 2019 Args: - query (int, in YYYY format): the interested year Returns: - the list of the song names that win the Song Of The Year in a certain year """ result = API["music"].grammy_get_best_song_by_year(year.query) return {"result": result} @app.post("/music/grammy_get_award_date_by_artist", responses={ 200: { "content": { "application/json": { "example": "[[Click 'Execute' to get the response]]" } } } }) async def music_grammy_get_award_date_by_artist(artist_name: QueryMusicArtist): """ Return the award winning years of a certain artist Args: - query (str): the name of the artist Returns: - the list of years the artist is awarded """ result = API["music"].grammy_get_award_date_by_artist(artist_name.query) return {"result": result} @app.post("/music/grammy_get_best_album_by_year", responses={ 200: { "content": { "application/json": { "example": "[[Click 'Execute' to get the response]]" } } } }) async def music_grammy_get_best_album_by_year(year: QueryMusicYear): """ Return the Album Of The Year of a certain year between 1958 and 2019 Args: - query (int, in YYYY format): the interested year Returns: - the list of albums that won the Album Of The Year in a certain year """ result = API["music"].grammy_get_best_album_by_year(year.query) return {"result": result} @app.post("/music/grammy_get_all_awarded_artists", responses={ 200: { "content": { "application/json": { "example": "[[Click 'Execute' to get the response]]" } } } }) async def music_grammy_get_all_awarded_artists(): """ Return all the artists ever awarded Grammy Best New Artist between 1958 and 2019 Returns: - the list of artist ever awarded Grammy Best New Artist (list) """ result = API["music"].grammy_get_all_awarded_artists() return {"result": result} @app.post("/music/get_artist_birth_place", responses={ 200: { "content": { "application/json": { "example": "[[Click 'Execute' to get the response]]" } } } }) async def music_get_artist_birth_place(artist_name: QueryMusicArtist): """ Return the birth place country code (2-digit) for the input artist Args: - query (str): the name of the artist Returns: - the two-digit country code following ISO-3166 (str) """ result = API["music"].get_artist_birth_place(artist_name.query) return {"result": result} @app.post("/music/get_artist_birth_date", responses={ 200: { "content": { "application/json": { "example": "[[Click 'Execute' to get the response]]" } } } }) async def music_get_artist_birth_date(artist_name: QueryMusicArtist): """ Return the birth date of the artist Args: - query (str): the name of the artist Returns: - life_span_begin (str, in YYYY-MM-DD format if possible): the birth date of the person or the begin date of a band """ result = API["music"].get_artist_birth_date(artist_name.query) return {"result": result} class QueryMusicBand(BaseModel): query: str model_config = { "json_schema_extra": { "examples": [ { "query": "Maroon 5", } ] } } @app.post("/music/get_members", responses={ 200: { "content": { "application/json": { "example": "[[Click 'Execute' to get the response]]" } } } }) async def music_get_members(band_name: QueryMusicBand): """ Return the member list of a band Args: - query (str): the name of the band Returns: - the list of members' names. """ result = API["music"].get_members(band_name.query) return {"result": result} @app.post("/music/get_lifespan", responses={ 200: { "content": { "application/json": { "example": "[[Click 'Execute' to get the response]]" } } } }) async def music_get_lifespan(artist_name: QueryMusicArtist): """ Return the lifespan of the artist Args: - query (str): the name of the artist Returns: - the birth and death dates in a list """ result = API["music"].get_lifespan(artist_name.query) return {"result": result} @app.post("/music/get_song_author", responses={ 200: { "content": { "application/json": { "example": "[[Click 'Execute' to get the response]]" } } } }) async def music_get_song_author(song_name: QueryMusicSong): """ Return the author of the song Args: - query (str): the name of the song Returns: - the author of the song (str) """ result = API["music"].get_song_author(song_name.query) return {"result": result} @app.post("/music/get_song_release_country", responses={ 200: { "content": { "application/json": { "example": "[[Click 'Execute' to get the response]]" } } } }) async def music_get_song_release_country(song_name: QueryMusicSong): """ Return the release country of the song Args: - query (str): the name of the song Returns: - the two-digit country code following ISO-3166 (str) """ result = API["music"].get_song_release_country(song_name.query) return {"result": result} @app.post("/music/get_song_release_date", responses={ 200: { "content": { "application/json": { "example": "[[Click 'Execute' to get the response]]" } } } }) async def music_get_song_release_date(song_name: QueryMusicSong): """ Return the release date of the song Args: - query (str): the name of the song Returns: - the date of the song (str in YYYY-MM-DD format) """ result = API["music"].get_song_release_date(song_name.query) return {"result": result} @app.post("/music/get_artist_all_works", responses={ 200: { "content": { "application/json": { "example": "[[Click 'Execute' to get the response]]" } } } }) async def music_get_artist_all_works(artist_name: QueryMusicArtist): """ Return the list of all works of a certain artist Args: - query (str): the name of the artist Returns: - the list of all work names """ result = API["music"].get_artist_all_works(artist_name.query) return {"result": result} class QuerySportsSoccer(BaseModel): date: str team_name: Optional[str] = None model_config = { "json_schema_extra": { "examples": [ { "date": "2024-03-09", "team_name": "Everton" } ] } } @app.post("/sports/soccer/get_games_on_date", responses={ 200: { "content": { "application/json": { "example": "[[Click 'Execute' to get the response]]" } } } }) async def sports_soccer_get_games_on_date(query: QuerySportsSoccer): """ Get soccer games given date Args: - date (str, in YYYY-MM-DD/YYYY-MM/YYYY format): e.g., 2024-03-01, 2024-03, 2024 - team_name (Optional, str) Returns: - info of the games, such as - venue: whether the team is home or away in game - result: win lose result of the game - GF: goals of the team in game - opponent: opponent of the team - Captain: Captain of the team """ try: result = json.loads(API["sports"]["soccer"].get_games_on_date(query.date, query.team_name)) except: result = None return {"result": result} class QuerySportsNBA(BaseModel): date: str team_name: Optional[str] = None model_config = { "json_schema_extra": { "examples": [ { "date": "2022-10-11", "team_name": "Chicago Bulls" } ] } } @app.post("/sports/nba/get_games_on_date", responses={ 200: { "content": { "application/json": { "example": "[[Click 'Execute' to get the response]]" } } } }) async def sports_nba_get_games_on_date(query: QuerySportsNBA): """ Get all nba game rows given date_str Args: - date (str, in YYYY-MM-DD/YYYY-MM/YYYY format): the time of the games, e.g. 2023-01-01, 2023-01, 2023 - team_name (Optional, str): basketball team name, like Los Angeles Lakers Returns: - info of the games found, such as - game_id: id of the game - team_name_home: home team name - team_name_away: away team name - wl_home: win lose result of home team - wl_away: win lose result of away team - pts_home: home team points in the game - pts_away: away team points in the game """ try: result = json.loads(API["sports"]["nba"].get_games_on_date(query.date, query.team_name)) except: result = None return {"result": result} class QuerySportsNBAGameIds(BaseModel): game_ids: List[str] model_config = { "json_schema_extra": { "examples": [ { "game_ids": ["0022200547", "0029600027"], } ] } } @app.post("/sports/nba/get_play_by_play_data_by_game_ids", responses={ 200: { "content": { "application/json": { "example": "[[Click 'Execute' to get the response]]" } } } }) async def sports_nba_get_play_by_play_data_by_game_ids(query: QuerySportsNBAGameIds): """ Get all nba play by play rows given game ids Args: - game_ids (List[str]): nba game ids, e.g., ["0022200547", "0029600027"] Returns: - info of the play by play events of given game id, such as - game_id: A unique identifier for each game. - eventmsgtype: A code representing the type of event. - eventmsgactiontype: A code representing the action type of event message. - period: The period of the game in which the event occurred. - wctimestring: Wall clock time when the event occurred. - pctimestring: Game clock time when the event occurred. - homedescription: A description of the event from the perspective of the home team. - neutraldescription: A neutral description of the event. - visitordescription: A description of the event from the perspective of the visiting team. - player1_id: A unique identifier for the first player involved in the event. - player1_name: The name of the first player involved in the event. """ try: result = json.loads(API["sports"]["nba"].get_play_by_play_data_by_game_ids(query.game_ids)) except: result = None return {"result": result} ================================================ FILE: models/README.md ================================================ # Guide to Writing Your Own Models ## Model Base Class Your models should follow the format from the `DummyModel` class found in [dummy_model.py](dummy_model.py). We provide the example model, `dummy_model.py`, to illustrate the structure your own model. Crucially, your model class must implement the `batch_generate_answer` method. ## Selecting which model to use To ensure your model is recognized and utilized correctly, please specify your model class name in the [`user_config.py`](user_config.py) file, by following the instructions in the inline comments. ## Model Inputs and Outputs ### Inputs Your model will receive a batch of input queries as a dictionary, where the dictionary has the following keys: ``` - 'query' (List[str]): List of user queries. - 'search_results' (List[List[Dict]]): List of search result lists, each corresponding to a query. - 'query_time' (List[str]): List of timestamps (represented as a string), each corresponding to when a query was made. ``` ### Outputs The output from your model's `batch_generate_answer` function should be a list of string responses for all the queries in the input batch. ================================================ FILE: models/dummy_model.py ================================================ # Copyright (c) Meta Platforms, Inc. and affiliates. # All rights reserved. # This source code is licensed under the license found in the # LICENSE file in the root directory of this source tree. import os from typing import Any, Dict, List from models.utils import trim_predictions_to_max_token_length # Load the environment variable that specifies the URL of the MockAPI. This URL is essential # for accessing the correct API endpoint in Task 2 and Task 3. The value of this environment variable # may vary across different evaluation settings, emphasizing the importance of dynamically obtaining # the API URL to ensure accurate endpoint communication. # **Note**: This environment variable will not be available for Task 1 evaluations. CRAG_MOCK_API_URL = os.getenv("CRAG_MOCK_API_URL", "http://localhost:8000") class DummyModel: def __init__(self): """ Initialize your model(s) here if necessary. This is the constructor for your DummyModel class, where you can set up any required initialization steps for your model(s) to function correctly. """ pass def get_batch_size(self) -> int: """ Determines the batch size that is used by the evaluator when calling the `batch_generate_answer` function. Returns: int: The batch size, an integer between 1 and 16. This value indicates how many queries should be processed together in a single batch. It can be dynamic across different batch_generate_answer calls, or stay a static value. """ self.batch_size = 4 return self.batch_size def batch_generate_answer(self, batch: Dict[str, Any]) -> List[str]: """ Generates answers for a batch of queries using associated (pre-cached) search results and query times. Parameters: batch (Dict[str, Any]): A dictionary containing a batch of input queries with the following keys: - 'interaction_id; (List[str]): List of interaction_ids for the associated queries - 'query' (List[str]): List of user queries. - 'search_results' (List[List[Dict]]): List of search result lists, each corresponding to a query. - 'query_time' (List[str]): List of timestamps (represented as a string), each corresponding to when a query was made. Returns: List[str]: A list of plain text responses for each query in the batch. Each response is limited to 75 tokens. If the generated response exceeds 75 tokens, it will be truncated to fit within this limit. Notes: - If the correct answer is uncertain, it's preferable to respond with "I don't know" to avoid the penalty for hallucination. - Response Time: Ensure that your model processes and responds to each query within 30 seconds. Failing to adhere to this time constraint **will** result in a timeout during evaluation. """ batch_interaction_ids = batch["interaction_id"] queries = batch["query"] search_results = batch["search_results"] query_times = batch["query_time"] answers = [] for idx, query in enumerate(queries): # Implement logic to generate answers based on search results and query times answers.append("i don't know") # Default placeholder response return answers ================================================ FILE: models/rag_knowledge_graph_baseline.py ================================================ # Copyright (c) Meta Platforms, Inc. and affiliates. # All rights reserved. # This source code is licensed under the license found in the # LICENSE file in the root directory of this source tree. import json import os import sys from collections import defaultdict from json import JSONDecoder from typing import Any, Dict, List import numpy as np import ray import torch import vllm from blingfire import text_to_sentences_and_offsets from bs4 import BeautifulSoup from loguru import logger from sentence_transformers import SentenceTransformer from utils.cragapi_wrapper import CRAG ###################################################################################################### ###################################################################################################### ### ### Please pay special attention to the comments that start with "TUNE THIS VARIABLE" ### as they depend on your model and the available GPU resources. ### ### DISCLAIMER: This baseline has NOT been tuned for performance ### or efficiency, and is provided as is for demonstration. ###################################################################################################### # Load the environment variable that specifies the URL of the MockAPI. This URL is essential # for accessing the correct API endpoint in Task 2 and Task 3. The value of this environment variable # may vary across different evaluation settings, emphasizing the importance of dynamically obtaining # the API URL to ensure accurate endpoint communication. CRAG_MOCK_API_URL = os.getenv("CRAG_MOCK_API_URL", "http://localhost:8000") #### CONFIG PARAMETERS --- # Define the number of context sentences to consider for generating an answer. NUM_CONTEXT_SENTENCES = 20 # Set the maximum length for each context sentence (in characters). MAX_CONTEXT_SENTENCE_LENGTH = 1000 # Set the maximum context references length (in characters). MAX_CONTEXT_REFERENCES_LENGTH = 4000 # Batch size you wish the evaluators will use to call the `batch_generate_answer` function SUBMISSION_BATCH_SIZE = 8 # TUNE THIS VARIABLE depending on the number of GPUs you are requesting and the size of your model. # VLLM Parameters VLLM_TENSOR_PARALLEL_SIZE = 4 # TUNE THIS VARIABLE depending on the number of GPUs you are requesting and the size of your model. VLLM_GPU_MEMORY_UTILIZATION = 0.85 # TUNE THIS VARIABLE depending on the number of GPUs you are requesting and the size of your model. # Sentence Transformer Parameters SENTENTENCE_TRANSFORMER_BATCH_SIZE = 128 # TUNE THIS VARIABLE depending on the size of your embedding model and GPU mem available # entity extraction template Entity_Extract_TEMPLATE = """ You are given a Query and Query Time. Do the following: 1) Determine the domain the query is about. The domain should be one of the following: "finance", "sports", "music", "movie", "encyclopedia". If none of the domain applies, use "other". Use "domain" as the key in the result json. 2) Extract structured information from the query. Include different keys into the result json depending on the domains, amd put them DIRECTLY in the result json. Here are the rules: For `encyclopedia` and `other` queries, these are possible keys: - `main_entity`: extract the main entity of the query. For `finance` queries, these are possible keys: - `market_identifier`: stock identifiers including individual company names, stock symbols. - `metric`: financial metrics that the query is asking about. This must be one of the following: `price`, `dividend`, `P/E ratio`, `EPS`, `marketCap`, and `other`. - `datetime`: time frame that query asks about. When datetime is not explicitly mentioned, use `Query Time` as default. For `movie` queries, these are possible keys: - `movie_name`: name of the movie - `movie_aspect`: if the query is about a movie, which movie aspect the query asks. This must be one of the following: `budget`, `genres`, `original_language`, `original_title`, `release_date`, `revenue`, `title`, `cast`, `crew`, `rating`, `length`. - `person`: person name related to moves - `person_aspect`: if the query is about a person, which person aspect the query asks. This must be one of the following: `acted_movies`, `directed_movies`, `oscar_awards`, `birthday`. - `year`: if the query is about movies released in a specific year, extract the year For `music` queries, these are possible keys: - `artist_name`: name of the artist - `artist_aspect`: if the query is about an artist, extract the aspect of the artist. This must be one of the following: `member`, `birth place`, `birth date`, `lifespan`, `artist work`, `grammy award count`, `grammy award date`. - `song_name`: name of the song - `song_aspect`: if the query is about a song, extract the aspect of the song. This must be one of the following: `auther`, `grammy award count`, `release country`, `release date`. For `sports` queries, these are possible keys: - `sport_type`: one of `basketball`, `soccer`, `other` - `tournament`: such as NBA, World Cup, Olympic. - `team`: teams that user interested in. - `datetime`: time frame that user interested in. When datetime is not explicitly mentioned, use `Query Time` as default. Return the results in a FLAT json. *NEVER include ANY EXPLANATION or NOTE in the output, ONLY OUTPUT JSON* """ #### CONFIG PARAMETERS END--- class ChunkExtractor: @ray.remote def _extract_chunks(self, interaction_id, html_source): """ Extracts and returns chunks from given HTML source. Note: This function is for demonstration purposes only. We are treating an independent sentence as a chunk here, but you could choose to chunk your text more cleverly than this. Parameters: interaction_id (str): Interaction ID that this HTML source belongs to. html_source (str): HTML content from which to extract text. Returns: Tuple[str, List[str]]: A tuple containing the interaction ID and a list of sentences extracted from the HTML content. """ # Parse the HTML content using BeautifulSoup soup = BeautifulSoup(html_source, "lxml") text = soup.get_text(" ", strip=True) # Use space as a separator, strip whitespaces if not text: # Return a list with empty string when no text is extracted return interaction_id, [""] # Extract offsets of sentences from the text _, offsets = text_to_sentences_and_offsets(text) # Initialize a list to store sentences chunks = [] # Iterate through the list of offsets and extract sentences for start, end in offsets: # Extract the sentence and limit its length sentence = text[start:end][:MAX_CONTEXT_SENTENCE_LENGTH] chunks.append(sentence) return interaction_id, chunks def extract_chunks(self, batch_interaction_ids, batch_search_results): """ Extracts chunks from given batch search results using parallel processing with Ray. Parameters: batch_interaction_ids (List[str]): List of interaction IDs. batch_search_results (List[List[Dict]]): List of search results batches, each containing HTML text. Returns: Tuple[np.ndarray, np.ndarray]: A tuple containing an array of chunks and an array of corresponding interaction IDs. """ # Setup parallel chunk extraction using ray remote ray_response_refs = [ self._extract_chunks.remote( self, interaction_id=batch_interaction_ids[idx], html_source=html_text["page_result"] ) for idx, search_results in enumerate(batch_search_results) for html_text in search_results ] # Wait until all sentence extractions are complete # and collect chunks for every interaction_id separately chunk_dictionary = defaultdict(list) for response_ref in ray_response_refs: interaction_id, _chunks = ray.get(response_ref) # Blocking call until parallel execution is complete chunk_dictionary[interaction_id].extend(_chunks) # Flatten chunks and keep a map of corresponding interaction_ids chunks, chunk_interaction_ids = self._flatten_chunks(chunk_dictionary) return chunks, chunk_interaction_ids def _flatten_chunks(self, chunk_dictionary): """ Flattens the chunk dictionary into separate lists for chunks and their corresponding interaction IDs. Parameters: chunk_dictionary (defaultdict): Dictionary with interaction IDs as keys and lists of chunks as values. Returns: Tuple[np.ndarray, np.ndarray]: A tuple containing an array of chunks and an array of corresponding interaction IDs. """ chunks = [] chunk_interaction_ids = [] for interaction_id, _chunks in chunk_dictionary.items(): # De-duplicate chunks within the scope of an interaction ID unique_chunks = list(set(_chunks)) chunks.extend(unique_chunks) chunk_interaction_ids.extend([interaction_id] * len(unique_chunks)) # Convert to numpy arrays for convenient slicing/masking operations later chunks = np.array(chunks) chunk_interaction_ids = np.array(chunk_interaction_ids) return chunks, chunk_interaction_ids def extract_json_objects(text, decoder=JSONDecoder()): """Find JSON objects in text, and yield the decoded JSON data """ pos = 0 results = [] while True: match = text.find("{", pos) if match == -1: break try: result, index = decoder.raw_decode(text[match:]) results.append(result) pos = match + index except ValueError: pos = match + 1 return results class RAG_KG_Model: """ An example RAGModel """ def __init__(self): self.initialize_models() self.chunk_extractor = ChunkExtractor() def initialize_models(self): # Initialize Meta Llama 3 - 8B Instruct Model self.model_name = "models/meta-llama/Meta-Llama-3-8B-Instruct" if not os.path.exists(self.model_name): raise Exception( f""" The evaluators expect the model weights to be checked into the repository, but we could not find the model weights at {self.model_name} Please follow the instructions in the docs below to download and check in the model weights. https://github.com/facebookresearch/CRAG/blob/main/docs/download_baseline_model_weights.md """ ) # Initialize the model with vllm self.llm = vllm.LLM( self.model_name, worker_use_ray=True, tensor_parallel_size=VLLM_TENSOR_PARALLEL_SIZE, gpu_memory_utilization=VLLM_GPU_MEMORY_UTILIZATION, trust_remote_code=True, dtype= "half", # note: bfloat16 is not supported on nvidia-T4 GPUs enforce_eager=True ) self.tokenizer = self.llm.get_tokenizer() # Load a sentence transformer model optimized for sentence embeddings, using CUDA if available. self.sentence_model = SentenceTransformer( "models/sentence-transformers/all-MiniLM-L6-v2", device=torch.device( "cuda" if torch.cuda.is_available() else "cpu" ), ) def calculate_embeddings(self, sentences): """ Compute normalized embeddings for a list of sentences using a sentence encoding model. This function leverages multiprocessing to encode the sentences, which can enhance the processing speed on multi-core machines. Args: sentences (List[str]): A list of sentences for which embeddings are to be computed. Returns: np.ndarray: An array of normalized embeddings for the given sentences. """ embeddings = self.sentence_model.encode( sentences=sentences, normalize_embeddings=True, batch_size=SENTENTENCE_TRANSFORMER_BATCH_SIZE, ) # Note: There is an opportunity to parallelize the embedding generation across 4 GPUs # but sentence_model.encode_multi_process seems to interefere with Ray # on the evaluation servers. # todo: this can also be done in a Ray native approach. # return embeddings def get_batch_size(self) -> int: """ Determines the batch size that is used by the evaluator when calling the `batch_generate_answer` function. The evaluation timeouts linearly scale with the batch size. i.e.: time out for the `batch_generate_answer` call = batch_size * per_sample_timeout Returns: int: The batch size, an integer between 1 and 16. It can be dynamic across different batch_generate_answer calls, or stay a static value. """ self.batch_size = SUBMISSION_BATCH_SIZE return self.batch_size def batch_generate_answer(self, batch: Dict[str, Any]) -> List[str]: """ Generates answers for a batch of queries using associated (pre-cached) search results and query times. Parameters: batch (Dict[str, Any]): A dictionary containing a batch of input queries with the following keys: - 'interaction_id; (List[str]): List of interaction_ids for the associated queries - 'query' (List[str]): List of user queries. - 'search_results' (List[List[Dict]]): List of search result lists, each corresponding to a query. - 'query_time' (List[str]): List of timestamps (represented as a string), each corresponding to when a query was made. Returns: List[str]: A list of plain text responses for each query in the batch. Each response is limited to 75 tokens. If the generated response exceeds 75 tokens, it will be truncated to fit within this limit. Notes: - If the correct answer is uncertain, it's preferable to respond with "I don't know" to avoid the penalty for hallucination. - Response Time: Ensure that your model processes and responds to each query within 30 seconds. Failing to adhere to this time constraint **will** result in a timeout during evaluation. """ batch_interaction_ids = batch["interaction_id"] queries = batch["query"] batch_search_results = batch["search_results"] query_times = batch["query_time"] # Chunk all search results using ChunkExtractor chunks, chunk_interaction_ids = self.chunk_extractor.extract_chunks( batch_interaction_ids, batch_search_results ) # Calculate all chunk embeddings chunk_embeddings = self.calculate_embeddings(chunks) # Calculate embeddings for queries query_embeddings = self.calculate_embeddings(queries) # Retrieve top matches for the whole batch batch_retrieval_results = [] for _idx, interaction_id in enumerate(batch_interaction_ids): query = queries[_idx] query_time = query_times[_idx] query_embedding = query_embeddings[_idx] # Identify chunks that belong to this interaction_id relevant_chunks_mask = chunk_interaction_ids == interaction_id # Filter out the said chunks and corresponding embeddings relevant_chunks = chunks[relevant_chunks_mask] relevant_chunks_embeddings = chunk_embeddings[relevant_chunks_mask] # Calculate cosine similarity between query and chunk embeddings, cosine_scores = (relevant_chunks_embeddings * query_embedding).sum(1) # and retrieve top-N results. retrieval_results = relevant_chunks[ (-cosine_scores).argsort()[:NUM_CONTEXT_SENTENCES] ] # You might also choose to skip the steps above and # use a vectorDB directly. batch_retrieval_results.append(retrieval_results) # Retrieve knowledge graph results entities = self.extract_entity(batch) batch_kg_results = self.get_kg_results(entities) # Prepare formatted prompts from the LLM formatted_prompts = self.format_prompts(queries, query_times, batch_retrieval_results, batch_kg_results) # Generate responses via vllm responses = self.llm.generate( formatted_prompts, vllm.SamplingParams( n=1, # Number of output sequences to return for each prompt. top_p=0.9, # Float that controls the cumulative probability of the top tokens to consider. temperature=0.1, # Randomness of the sampling skip_special_tokens=True, # Whether to skip special tokens in the output. max_tokens=50, # Maximum number of tokens to generate per output sequence. # Note: We are using 50 max new tokens instead of 75, # because the 75 max token limit for the competition is checked using the Llama2 tokenizer. # Llama3 instead uses a different tokenizer with a larger vocabulary # This allows the Llama3 tokenizer to represent the same content more efficiently, # while using fewer tokens. ), use_tqdm=False # you might consider setting this to True during local development ) # Aggregate answers into List[str] answers = [] for response in responses: answers.append(response.outputs[0].text) return answers def format_prompts(self, queries, query_times, batch_retrieval_results=[], batch_kg_results=[]): """ Formats queries, corresponding query_times and retrieval results using the chat_template of the model. Parameters: - queries (List[str]): A list of queries to be formatted into prompts. - query_times (List[str]): A list of query_time strings corresponding to each query. - batch_retrieval_results (List[str]) - batch_kg_results (List[str]) """ system_prompt = "You are provided with a question and various references. Your task is to answer the question succinctly, using the fewest words possible. If the references do not contain the necessary information to answer the question, respond with 'I don't know'. There is no need to explain the reasoning behind your answers." formatted_prompts = [] for _idx, query in enumerate(queries): query_time = query_times[_idx] retrieval_results = batch_retrieval_results[_idx] kg_results = batch_kg_results[_idx] user_message = "" retrieval_references = "" if len(retrieval_results) > 0: # Format the top sentences as references in the model's prompt template. for _snippet_idx, snippet in enumerate(retrieval_results): retrieval_references += f"- {snippet.strip()}\n" # Limit the length of references to fit the model's input size. retrieval_references = retrieval_references[: int(MAX_CONTEXT_REFERENCES_LENGTH / 2)] kg_results = kg_results[: int(MAX_CONTEXT_REFERENCES_LENGTH / 2)] references = "### References\n" + \ "# Web\n" + \ retrieval_references + \ "# Knowledge Graph\n" + \ kg_results user_message += f"{references}\n------\n\n" user_message user_message += f"Using only the references listed above, answer the following question: \n" user_message += f"Current Time: {query_time}\n" user_message += f"Question: {query}\n" formatted_prompts.append( self.tokenizer.apply_chat_template( [ {"role": "system", "content": system_prompt}, {"role": "user", "content": user_message}, ], tokenize=False, add_generation_prompt=True, ) ) return formatted_prompts def extract_entity(self, batch): queries = batch["query"] query_times = batch["query_time"] formatted_prompts = self.format_prompts_for_entity_extraction(queries, query_times) responses = self.llm.generate( formatted_prompts, vllm.SamplingParams( n=1, # Number of output sequences to return for each prompt. top_p=0.9, # Float that controls the cumulative probability of the top tokens to consider. temperature=0.1, # Randomness of the sampling skip_special_tokens=True, # Whether to skip special tokens in the output. max_tokens=4096, # Maximum number of tokens to generate per output sequence. ), use_tqdm=False # you might consider setting this to True during local development ) entities = [] for response in responses: res = response.outputs[0].text try: res = json.loads(res) except: res = extract_json_objects(res) entities.append(res) return entities def get_kg_results(self, entities): # examples for "open" (encyclopedia), "movie" or "other" domains api = CRAG(server=CRAG_MOCK_API_URL) batch_kg_results = [] for entity in entities: kg_results = [] res = "" if "domain" in entity.keys(): domain = entity["domain"] if domain in ["encyclopedia", "other"]: if "main_entity" in entity.keys(): try: top_entity_name = api.open_search_entity_by_name(entity["main_entity"])["result"][0] res = api.open_get_entity(top_entity_name)["result"] kg_results.append({top_entity_name: res}) except Exception as e: logger.warning(f"Error in open_get_entity: {e}") pass if domain == "movie": if "movie_name" in entity.keys() and entity["movie_name"] is not None: if isinstance(entity["movie_name"], str): movie_names = entity["movie_name"].split(",") else: movie_names = entity["movie_name"] for movie_name in movie_names: try: res = api.movie_get_movie_info(movie_name)["result"][0] res = res[entity["movie_aspect"]] kg_results.append({movie_name + "_" + entity["movie_aspect"]: res}) except Exception as e: logger.warning(f"Error in movie_get_movie_info: {e}") pass if "person" in entity.keys() and entity["person"] is not None: if isinstance(entity["person"], str): person_list = entity["person"].split(",") else: person_list = entity["person"] for person in person_list: try: res = api.movie_get_person_info(person)["result"][0] aspect = entity["person_aspect"] if aspect in ["oscar_awards", "birthday"]: res = res[aspect] kg_results.append({person + "_" + aspect: res}) if aspect in ["acted_movies", "directed_movies"]: movie_info = [] for movie_id in res[aspect]: movie_info.append(api.movie_get_movie_info_by_id(movie_id)) kg_results.append({person + "_" + aspect: movie_info}) except Exception as e: logger.warning(f"Error in movie_get_person_info: {e}") pass if "year" in entity.keys() and entity["year"] is not None: if isinstance(entity["year"], str) or isinstance(entity["year"], int): years = str(entity["year"]).split(",") else: years = entity["year"] for year in years: try: res = api.movie_get_year_info(year)["result"] all_movies = [] oscar_movies = [] for movie_id in res["movie_list"]: all_movies.append(api.movie_get_movie_info_by_id(movie_id)["result"]["title"]) for movie_id in res["oscar_awards"]: oscar_movies.append(api.movie_get_movie_info_by_id(movie_id)["result"]["title"]) kg_results.append({year + "_all_movies": all_movies}) kg_results.append({year + "_oscar_movies": oscar_movies}) except Exception as e: logger.warning(f"Error in movie_get_year_info: {e}") pass batch_kg_results.append("\n".join([str(res) for res in kg_results]) if len(kg_results) > 0 else "") return batch_kg_results def format_prompts_for_entity_extraction(self, queries, query_times): formatted_prompts = [] for _idx, query in enumerate(queries): query_time = query_times[_idx] user_message = "" user_message += f"Query: {query}\n" user_message += f"Query Time: {query_time}\n" formatted_prompts.append( self.tokenizer.apply_chat_template( [ {"role": "system", "content": Entity_Extract_TEMPLATE}, {"role": "user", "content": user_message}, ], tokenize=False, add_generation_prompt=True, ) ) return formatted_prompts ================================================ FILE: models/rag_llama_baseline.py ================================================ # Copyright (c) Meta Platforms, Inc. and affiliates. # All rights reserved. # This source code is licensed under the license found in the # LICENSE file in the root directory of this source tree. import os from collections import defaultdict from typing import Any, Dict, List import numpy as np import ray import torch import vllm from blingfire import text_to_sentences_and_offsets from bs4 import BeautifulSoup from sentence_transformers import SentenceTransformer ###################################################################################################### ###################################################################################################### ### ### Please pay special attention to the comments that start with "TUNE THIS VARIABLE" ### as they depend on your model and the available GPU resources. ### ### DISCLAIMER: This baseline has NOT been tuned for performance ### or efficiency, and is provided as is for demonstration. ###################################################################################################### # Load the environment variable that specifies the URL of the MockAPI. This URL is essential # for accessing the correct API endpoint in Task 2 and Task 3. The value of this environment variable # may vary across different evaluation settings, emphasizing the importance of dynamically obtaining # the API URL to ensure accurate endpoint communication. CRAG_MOCK_API_URL = os.getenv("CRAG_MOCK_API_URL", "http://localhost:8000") #### CONFIG PARAMETERS --- # Define the number of context sentences to consider for generating an answer. NUM_CONTEXT_SENTENCES = 20 # Set the maximum length for each context sentence (in characters). MAX_CONTEXT_SENTENCE_LENGTH = 1000 # Set the maximum context references length (in characters). MAX_CONTEXT_REFERENCES_LENGTH = 4000 # Batch size you wish the evaluators will use to call the `batch_generate_answer` function SUBMISSION_BATCH_SIZE = 8 # TUNE THIS VARIABLE depending on the number of GPUs you are requesting and the size of your model. # VLLM Parameters VLLM_TENSOR_PARALLEL_SIZE = 4 # TUNE THIS VARIABLE depending on the number of GPUs you are requesting and the size of your model. VLLM_GPU_MEMORY_UTILIZATION = 0.85 # TUNE THIS VARIABLE depending on the number of GPUs you are requesting and the size of your model. # Sentence Transformer Parameters SENTENTENCE_TRANSFORMER_BATCH_SIZE = 128 # TUNE THIS VARIABLE depending on the size of your embedding model and GPU mem available #### CONFIG PARAMETERS END--- class ChunkExtractor: @ray.remote def _extract_chunks(self, interaction_id, html_source): """ Extracts and returns chunks from given HTML source. Note: This function is for demonstration purposes only. We are treating an independent sentence as a chunk here, but you could choose to chunk your text more cleverly than this. Parameters: interaction_id (str): Interaction ID that this HTML source belongs to. html_source (str): HTML content from which to extract text. Returns: Tuple[str, List[str]]: A tuple containing the interaction ID and a list of sentences extracted from the HTML content. """ # Parse the HTML content using BeautifulSoup soup = BeautifulSoup(html_source, "lxml") text = soup.get_text(" ", strip=True) # Use space as a separator, strip whitespaces if not text: # Return a list with empty string when no text is extracted return interaction_id, [""] # Extract offsets of sentences from the text _, offsets = text_to_sentences_and_offsets(text) # Initialize a list to store sentences chunks = [] # Iterate through the list of offsets and extract sentences for start, end in offsets: # Extract the sentence and limit its length sentence = text[start:end][:MAX_CONTEXT_SENTENCE_LENGTH] chunks.append(sentence) return interaction_id, chunks def extract_chunks(self, batch_interaction_ids, batch_search_results): """ Extracts chunks from given batch search results using parallel processing with Ray. Parameters: batch_interaction_ids (List[str]): List of interaction IDs. batch_search_results (List[List[Dict]]): List of search results batches, each containing HTML text. Returns: Tuple[np.ndarray, np.ndarray]: A tuple containing an array of chunks and an array of corresponding interaction IDs. """ # Setup parallel chunk extraction using ray remote ray_response_refs = [ self._extract_chunks.remote( self, interaction_id=batch_interaction_ids[idx], html_source=html_text["page_result"] ) for idx, search_results in enumerate(batch_search_results) for html_text in search_results ] # Wait until all sentence extractions are complete # and collect chunks for every interaction_id separately chunk_dictionary = defaultdict(list) for response_ref in ray_response_refs: interaction_id, _chunks = ray.get(response_ref) # Blocking call until parallel execution is complete chunk_dictionary[interaction_id].extend(_chunks) # Flatten chunks and keep a map of corresponding interaction_ids chunks, chunk_interaction_ids = self._flatten_chunks(chunk_dictionary) return chunks, chunk_interaction_ids def _flatten_chunks(self, chunk_dictionary): """ Flattens the chunk dictionary into separate lists for chunks and their corresponding interaction IDs. Parameters: chunk_dictionary (defaultdict): Dictionary with interaction IDs as keys and lists of chunks as values. Returns: Tuple[np.ndarray, np.ndarray]: A tuple containing an array of chunks and an array of corresponding interaction IDs. """ chunks = [] chunk_interaction_ids = [] for interaction_id, _chunks in chunk_dictionary.items(): # De-duplicate chunks within the scope of an interaction ID unique_chunks = list(set(_chunks)) chunks.extend(unique_chunks) chunk_interaction_ids.extend([interaction_id] * len(unique_chunks)) # Convert to numpy arrays for convenient slicing/masking operations later chunks = np.array(chunks) chunk_interaction_ids = np.array(chunk_interaction_ids) return chunks, chunk_interaction_ids class RAGModel: """ An example RAGModel """ def __init__(self): self.initialize_models() self.chunk_extractor = ChunkExtractor() def initialize_models(self): # Initialize Meta Llama 3 - 8B Instruct Model self.model_name = "models/meta-llama/Meta-Llama-3-8B-Instruct" if not os.path.exists(self.model_name): raise Exception( f""" The evaluators expect the model weights to be checked into the repository, but we could not find the model weights at {self.model_name} """ ) # Initialize the model with vllm self.llm = vllm.LLM( self.model_name, worker_use_ray=True, tensor_parallel_size=VLLM_TENSOR_PARALLEL_SIZE, gpu_memory_utilization=VLLM_GPU_MEMORY_UTILIZATION, trust_remote_code=True, dtype="half", # note: update the dtype based on the available GPU enforce_eager=True ) self.tokenizer = self.llm.get_tokenizer() # Load a sentence transformer model optimized for sentence embeddings, using CUDA if available. self.sentence_model = SentenceTransformer( "models/sentence-transformers/all-MiniLM-L6-v2", device=torch.device( "cuda" if torch.cuda.is_available() else "cpu" ), ) def calculate_embeddings(self, sentences): """ Compute normalized embeddings for a list of sentences using a sentence encoding model. This function leverages multiprocessing to encode the sentences, which can enhance the processing speed on multi-core machines. Args: sentences (List[str]): A list of sentences for which embeddings are to be computed. Returns: np.ndarray: An array of normalized embeddings for the given sentences. """ embeddings = self.sentence_model.encode( sentences=sentences, normalize_embeddings=True, batch_size=SENTENTENCE_TRANSFORMER_BATCH_SIZE, ) # Note: There is an opportunity to parallelize the embedding generation across 4 GPUs # but sentence_model.encode_multi_process seems to interefere with Ray # on the evaluation servers. # todo: this can also be done in a Ray native approach. # return embeddings def get_batch_size(self) -> int: """ Determines the batch size that is used by the evaluator when calling the `batch_generate_answer` function. The evaluation timeouts linearly scale with the batch size. i.e.: time out for the `batch_generate_answer` call = batch_size * per_sample_timeout Returns: int: The batch size, an integer between 1 and 16. It can be dynamic across different batch_generate_answer calls, or stay a static value. """ self.batch_size = SUBMISSION_BATCH_SIZE return self.batch_size def batch_generate_answer(self, batch: Dict[str, Any]) -> List[str]: """ Generates answers for a batch of queries using associated (pre-cached) search results and query times. Parameters: batch (Dict[str, Any]): A dictionary containing a batch of input queries with the following keys: - 'interaction_id; (List[str]): List of interaction_ids for the associated queries - 'query' (List[str]): List of user queries. - 'search_results' (List[List[Dict]]): List of search result lists, each corresponding to a query. - 'query_time' (List[str]): List of timestamps (represented as a string), each corresponding to when a query was made. Returns: List[str]: A list of plain text responses for each query in the batch. Each response is limited to 75 tokens. If the generated response exceeds 75 tokens, it will be truncated to fit within this limit. Notes: - If the correct answer is uncertain, it's preferable to respond with "I don't know" to avoid the penalty for hallucination. - Response Time: Ensure that your model processes and responds to each query within 30 seconds. Failing to adhere to this time constraint **will** result in a timeout during evaluation. """ batch_interaction_ids = batch["interaction_id"] queries = batch["query"] batch_search_results = batch["search_results"] query_times = batch["query_time"] # Chunk all search results using ChunkExtractor chunks, chunk_interaction_ids = self.chunk_extractor.extract_chunks( batch_interaction_ids, batch_search_results ) # Calculate all chunk embeddings chunk_embeddings = self.calculate_embeddings(chunks) # Calculate embeddings for queries query_embeddings = self.calculate_embeddings(queries) # Retrieve top matches for the whole batch batch_retrieval_results = [] for _idx, interaction_id in enumerate(batch_interaction_ids): query = queries[_idx] query_time = query_times[_idx] query_embedding = query_embeddings[_idx] # Identify chunks that belong to this interaction_id relevant_chunks_mask = chunk_interaction_ids == interaction_id # Filter out the said chunks and corresponding embeddings relevant_chunks = chunks[relevant_chunks_mask] relevant_chunks_embeddings = chunk_embeddings[relevant_chunks_mask] # Calculate cosine similarity between query and chunk embeddings, cosine_scores = (relevant_chunks_embeddings * query_embedding).sum(1) # and retrieve top-N results. retrieval_results = relevant_chunks[ (-cosine_scores).argsort()[:NUM_CONTEXT_SENTENCES] ] # You might also choose to skip the steps above and # use a vectorDB directly. batch_retrieval_results.append(retrieval_results) # Prepare formatted prompts from the LLM formatted_prompts = self.format_prompts(queries, query_times, batch_retrieval_results) # Generate responses via vllm responses = self.llm.generate( formatted_prompts, vllm.SamplingParams( n=1, # Number of output sequences to return for each prompt. top_p=0.9, # Float that controls the cumulative probability of the top tokens to consider. temperature=0.1, # Randomness of the sampling skip_special_tokens=True, # Whether to skip special tokens in the output. max_tokens=50, # Maximum number of tokens to generate per output sequence. # Note: We are using 50 max new tokens instead of 75, # because the 75 max token limit for the competition is checked using the Llama2 tokenizer. # Llama3 instead uses a different tokenizer with a larger vocabulary # This allows the Llama3 tokenizer to represent the same content more efficiently, # while using fewer tokens. ), use_tqdm=False # you might consider setting this to True during local development ) # Aggregate answers into List[str] answers = [] for response in responses: answers.append(response.outputs[0].text) return answers def format_prompts(self, queries, query_times, batch_retrieval_results=[]): """ Formats queries, corresponding query_times and retrieval results using the chat_template of the model. Parameters: - queries (List[str]): A list of queries to be formatted into prompts. - query_times (List[str]): A list of query_time strings corresponding to each query. - batch_retrieval_results (List[str]) """ system_prompt = "You are provided with a question and various references. Your task is to answer the question succinctly, using the fewest words possible. If the references do not contain the necessary information to answer the question, respond with 'I don't know'. There is no need to explain the reasoning behind your answers." formatted_prompts = [] for _idx, query in enumerate(queries): query_time = query_times[_idx] retrieval_results = batch_retrieval_results[_idx] user_message = "" references = "" if len(retrieval_results) > 0: references += "# References \n" # Format the top sentences as references in the model's prompt template. for _snippet_idx, snippet in enumerate(retrieval_results): references += f"- {snippet.strip()}\n" references = references[:MAX_CONTEXT_REFERENCES_LENGTH] # Limit the length of references to fit the model's input size. user_message += f"{references}\n------\n\n" user_message user_message += f"Using only the references listed above, answer the following question: \n" user_message += f"Current Time: {query_time}\n" user_message += f"Question: {query}\n" formatted_prompts.append( self.tokenizer.apply_chat_template( [ {"role": "system", "content": system_prompt}, {"role": "user", "content": user_message}, ], tokenize=False, add_generation_prompt=True, ) ) return formatted_prompts ================================================ FILE: models/user_config.py ================================================ # Copyright (c) Meta Platforms, Inc. and affiliates. # All rights reserved. # This source code is licensed under the license found in the # LICENSE file in the root directory of this source tree. # isort: skip_file # from models.dummy_model import DummyModel # UserModel = DummyModel # Uncomment the lines below to use the Vanilla LLAMA baseline from models.vanilla_llama_baseline import InstructModel UserModel = InstructModel # Uncomment the lines below to use the RAG LLAMA baseline # from models.rag_llama_baseline import RAGModel # UserModel = RAGModel # Uncomment the lines below to use the RAG KG LLAMA baseline # from models.rag_knowledge_graph_baseline import RAG_KG_Model # UserModel = RAG_KG_Model ================================================ FILE: models/utils.py ================================================ # Copyright (c) Meta Platforms, Inc. and affiliates. # All rights reserved. # This source code is licensed under the license found in the # LICENSE file in the root directory of this source tree. import os from transformers import LlamaTokenizerFast tokenizer_path = os.path.join(os.path.dirname(__file__), "..", "tokenizer") tokenizer = LlamaTokenizerFast.from_pretrained(tokenizer_path) def trim_predictions_to_max_token_length(prediction): """Trims prediction output to 75 tokens""" max_token_length = 75 tokenized_prediction = tokenizer.encode(prediction) trimmed_tokenized_prediction = tokenized_prediction[1: max_token_length+1] trimmed_prediction = tokenizer.decode(trimmed_tokenized_prediction) return trimmed_prediction ================================================ FILE: models/vanilla_llama_baseline.py ================================================ # Copyright (c) Meta Platforms, Inc. and affiliates. # All rights reserved. # This source code is licensed under the license found in the # LICENSE file in the root directory of this source tree. import os from typing import Any, Dict, List import numpy as np import torch import vllm from models.utils import trim_predictions_to_max_token_length ###################################################################################################### ###################################################################################################### ### ### Please pay special attention to the comments that start with "TUNE THIS VARIABLE" ### as they depend on your model and the available GPU resources. ### ### DISCLAIMER: This baseline has NOT been tuned for performance ### or efficiency, and is provided as is for demonstration. ###################################################################################################### # Load the environment variable that specifies the URL of the MockAPI. This URL is essential # for accessing the correct API endpoint in Task 2 and Task 3. The value of this environment variable # may vary across different evaluation settings, emphasizing the importance of dynamically obtaining # the API URL to ensure accurate endpoint communication. CRAG_MOCK_API_URL = os.getenv("CRAG_MOCK_API_URL", "http://localhost:8000") #### CONFIG PARAMETERS --- # Batch size you wish the evaluators will use to call the `batch_generate_answer` function BATCH_SIZE = 8 # TUNE THIS VARIABLE depending on the number of GPUs you are requesting and the size of your model. # VLLM Parameters VLLM_TENSOR_PARALLEL_SIZE = 4 # TUNE THIS VARIABLE depending on the number of GPUs you are requesting and the size of your model. VLLM_GPU_MEMORY_UTILIZATION = 0.85 # TUNE THIS VARIABLE depending on the number of GPUs you are requesting and the size of your model. #### CONFIG PARAMETERS END--- class InstructModel: def __init__(self): """ Initialize your model(s) here if necessary. This is the constructor for your DummyModel class, where you can set up any required initialization steps for your model(s) to function correctly. """ self.initialize_models() def initialize_models(self): # Initialize Meta Llama 3 - 8B Instruct Model self.model_name = "models/meta-llama/Meta-Llama-3-8B-Instruct" if not os.path.exists(self.model_name): raise Exception( f""" The evaluators expect the model weights to be checked into the repository, but we could not find the model weights at {self.model_name} """ ) # initialize the model with vllm self.llm = vllm.LLM( self.model_name, worker_use_ray=True, tensor_parallel_size=VLLM_TENSOR_PARALLEL_SIZE, gpu_memory_utilization=VLLM_GPU_MEMORY_UTILIZATION, trust_remote_code=True, dtype="half", # note: update the dtype based on the available GPU enforce_eager=True ) self.tokenizer = self.llm.get_tokenizer() def get_batch_size(self) -> int: """ Determines the batch size that is used by the evaluator when calling the `batch_generate_answer` function. Returns: int: The batch size, an integer between 1 and 16. This value indicates how many queries should be processed together in a single batch. It can be dynamic across different batch_generate_answer calls, or stay a static value. """ self.batch_size = BATCH_SIZE return self.batch_size def batch_generate_answer(self, batch: Dict[str, Any]) -> List[str]: """ Generates answers for a batch of queries using associated (pre-cached) search results and query times. Parameters: batch (Dict[str, Any]): A dictionary containing a batch of input queries with the following keys: - 'interaction_id; (List[str]): List of interaction_ids for the associated queries - 'query' (List[str]): List of user queries. - 'search_results' (List[List[Dict]]): List of search result lists, each corresponding to a query. - 'query_time' (List[str]): List of timestamps (represented as a string), each corresponding to when a query was made. Returns: List[str]: A list of plain text responses for each query in the batch. Each response is limited to 75 tokens. If the generated response exceeds 75 tokens, it will be truncated to fit within this limit. Notes: - If the correct answer is uncertain, it's preferable to respond with "I don't know" to avoid the penalty for hallucination. - Response Time: Ensure that your model processes and responds to each query within 30 seconds. Failing to adhere to this time constraint **will** result in a timeout during evaluation. """ batch_interaction_ids = batch["interaction_id"] queries = batch["query"] batch_search_results = batch["search_results"] query_times = batch["query_time"] formatted_prompts = self.format_prommpts(queries, query_times) # Generate responses via vllm breakpoint() responses = self.llm.generate( formatted_prompts, vllm.SamplingParams( n=1, # Number of output sequences to return for each prompt. top_p=0.9, # Float that controls the cumulative probability of the top tokens to consider. temperature=0.1, # randomness of the sampling skip_special_tokens=True, # Whether to skip special tokens in the output. max_tokens=50, # Maximum number of tokens to generate per output sequence. # Note: We are using 50 max new tokens instead of 75, # because the 75 max token limit is checked using the Llama2 tokenizer. # The Llama3 model instead uses a differet tokenizer with a larger vocabulary # This allows it to represent the same content more efficiently, using fewer tokens. ), use_tqdm = False ) # Aggregate answers into List[str] answers = [] for response in responses: answers.append(response.outputs[0].text) return answers def format_prommpts(self, queries, query_times): """ Formats queries and corresponding query_times using the chat_template of the model. Parameters: - queries (list of str): A list of queries to be formatted into prompts. - query_times (list of str): A list of query_time strings corresponding to each query. """ system_prompt = "You are provided with a question and various references. Your task is to answer the question succinctly, using the fewest words possible. If the references do not contain the necessary information to answer the question, respond with 'I don't know'." formatted_prompts = [] for _idx, query in enumerate(queries): query_time = query_times[_idx] user_message = "" user_message += f"Current Time: {query_time}\n" user_message += f"Question: {query}\n" formatted_prompts.append( self.tokenizer.apply_chat_template( [ {"role": "system", "content": system_prompt}, {"role": "user", "content": user_message}, ], tokenize=False, add_generation_prompt=True, ) ) return formatted_prompts ================================================ FILE: prompts/templates.py ================================================ # Copyright (c) Meta Platforms, Inc. and affiliates. # All rights reserved. # This source code is licensed under the license found in the # LICENSE file in the root directory of this source tree. INSTRUCTIONS = """Assume you are a human expert in grading predictions given by a model. You are given a question and a model prediction. Judge if the prediction matches the ground truth answer by following these steps: 1: Take it as granted that the Ground Truth is always correct. 2: If the Prediction indicates it is not sure about the answer, "score" should be "0"; otherwise, go the next step. 3: If the Prediction exactly matches the Ground Truth, "score" is 1. 4: If the Prediction does not exactly match the Ground Truth, go through the following steps and likely give a score as 0. 5: If the Ground Truth is a number, "score" is 1 if and only if the Prediction gives a number that almost exactly matches the ground truth. 6: If the Prediction is self-contradictory, "score" must be 0. 7: If the prediction is not answering the question, "score" must be 0. 8: If the prediction is a concise and correct summary of the ground truth, "score" is 1. 9: If ground truth contains a set of items, prediction must contain exactly same items for the score to be 1. 10: Otherwise, "score" is 0. ### Output a JSON blob with an "explanation" field explaining your answer as short as possible and an "score" field with value 1 or 0.""" IN_CONTEXT_EXAMPLES = """You should make the judgment based on provided examples. Examples: Question: "which company has higher eps, btu or cma?" Ground Truth: "cma" Prediction: "it is not possible to determine which company has a higher eps." Output: {"score": 0, "explanation": "The prediction is not sure about the answer."} Question: "who is taller, a or b?" Ground Truth: "a" Prediction: "The answer is a. a is of height 1.75 m and b is of height 1.82 m. So b is taller." Output: {"score": 0, "explanation": "The prediction is self-contradictory."} Question: "who among patricia place and lana clarkson is younger?" Ground Truth: "lana clarkson" Prediction: "lana clarkson (born april 5, 1962) is younger than patricia clarkson (born december 29, 1959)." Output: {"score": 1, "explanation": "The prediction gives the correct answer."} Question: "did lakers win more games than warriors in 2024-4?" Ground Truth: "yes" Prediction: "yes, lakers won more games than warriors in 2023-2024 season." Output: {"score": 0, "explanation": "The prediction is not answering the question."} Question: "what is the height of the building where citigroup is headquartered?" Ground Truth: "151 m" Prediction: "the height is 915 feet (279 m)." Output: {"score": 0, "explanation": "The prediction, 151 m, does not match the ground truth, 279 m."} Question: "who were the last 3 prime ministers of uk?" Ground Truth: "rishi sunak, liz truss, and boris johnson" Prediction: "1. liz truss, 2. boris johnson, 3.theresa may" Output: {"score": 0, "explanation": "The prediction does not contain item, rishi sunak, that is in the grount truth."} Question: "who authored the taming of the shrew?" Ground Truth: "william shakespeare" Prediction: "william shakespeare" Output: {"score": 1, "explanation": "The prediction exactly matches the ground truth."} Question: "who authored The Taming of the Shrew?" Ground Truth: "william shakespeare" Prediction: "w shakespeare" Output: {"score": 1, "explanation": "The prediction matches the ground truth as w is the abbreviation of william."} Question: "what is the state bird of california?" Ground Truth: "california quail" Prediction: "california valley quail" Output: {"score": 1, "explanation": "The prediction matches the ground truth as california quail is also known as california valley quail."} Question: "what country is maharashtra metro rail corporation limited located in?" Ground truth: "india" Prediction: "indianapolis" Output: {"score": 0, "explanation": "The prediction doesn't match the ground truth answers."} Question: "what was wolves's record in their last game in eng-premier league?" Ground Truth: "w" Prediction: "wolves's record in their last game in the eng-premier League was a 2-1 win over fulham." Output: {"score": 1, "explanation": "The prediction correctly answers the result is a win."} Question: "how many seconds is 3 minutes 15 seconds?" Ground Truth: "195 seconds" Prediction: "3 minutes 15 seconds is 195 seconds." Output: {"score": 1, "explanation": "The prediction matches ground truth as it correctly states the number of seconds asked in the question."} Question: "on which days did am distribute dividends in the last year?" Ground Truth: "2023-01-24, 2023-04-25, 2023-07-25, 2023-10-24" Prediction: "the company distributed dividends on october 24, 2023 and january 24, 2023." Output: {"score": 0, "explanation": "The prediction partially matches the ground truth, but it is incomplete."} Question: "on which days did xxx distribute dividends in the last year?" Ground Truth: "2023-01-13, 2023-03-25, 2023-11-21" Prediction: "xxx distributed dividends on 1. 2023-01-13, 2. 2023-03-25, 3. 2023-10-21." Output: {"score": 0, "explanation": "The prediction contains an item, 2023-10-21, which is not in ground truth."} Question: "who are current band members of maroon 5?" Ground Truth: "adam Levine, jesse carmichael, james valentine, matt flynn, pj morton, sam farrar" Prediction: "they are jesse carmichael, matt flynn, adam levine, pj morton, sam farrar, and james valentine." Output: {"score": 1, "explanation": "The prediction exactly matches the ground truth."} Question: "which movies comprise the matrix franchise?" Ground Truth: "the matrix, the matrix reloaded, the matrix revolutions, the matrix resurrections" Prediction: "the matrix, the matrix reloaded, the matrix revolutions, the animatrix, and the matrix resurrections." Output: {"score": 0, "explanation": "The prediction covers more items than what are given by the ground truth."} Question: "how deep is the deepest lake of new york?" Ground Truth: "618 ft" Prediction: "the deepest lake in new york is seneca lake, with a depth of 618.23 feet." Output: {"score": 1, "explanation": "The prediction exactly matches the number in ground truth after rounding."} Question: "what is the closing price of meta yesterday?" Ground Truth: "$310.17" Prediction: "310.2" Output: {"score": 1, "explanation": "The prediction exactly matches the number in ground truth after rounding."} Question: "what is the current market cap of appl?" Ground Truth: "2.81 trillion" Prediction: "2.667 trillion" Output: {"score": 0, "explanation": "The prediction does not match the number in ground truth."} Question: "what is the current pe ratio of appl?" Ground Truth: "28.3" Prediction: "the current pe ratio of apple is 26.66" Output: {"score": 0, "explanation": "The prediction does not match the number in ground truth."} Question: "how much is tesla's stock price down from its all-time high?" Ground Truth: "$221.83" Prediction: "209.52" Output: {"score": 0, "explanation": "The prediction does not match the number in ground truth."} Question: "what is the length of amazon river?" Ground Truth: "over 4000 miles" Prediction: "the length of amazon river is 4,000 miles" Output: {"score": 0, "explanation": "The prediction does not say Amazon River is longer than 4000 miles."} Question: "how many copies x were sold?" Ground Truth: "2 million." Prediction: "it is over 2 million" Output: {"score": 0, "explanation": "The prediction does not match the ground truth."} Question: "what is the population of country x?" Ground Truth: "3,576,873" Prediction: "the population of country x is 3.3 million." Output: {"score": 0, "explanation": "The prediction, 3.3 M, does not match the number, 3.6 M, in ground truth."} Question: "what is the current market value of stock x?" Ground Truth: "$2,237,578,268" Prediction: "$2.16 billion." Output: {"score": 0, "explanation": "The prediction, 2.16 B, does not match the number, 2.2 B, in ground truth."} Question: "how old is michael jordan?" Ground Truth: "61" Prediction: "mj was born on February 17, 1963." Output: {"score": 0, "explanation": "The prediction does not explicitly say the age."} Question: "how long did amy teach as a teacher?" Ground Truth: "24 years and 255 days" Prediction: "25 years." Output: {"score": 0, "explanation": "The prediction does not exactly match the ground truth."} Question: "at what age did usher perform in the half time show of superbowl?" Ground Truth: "45 years old" Prediction: "usher has not performed at a super bowl halftime show." Output: {"score": 0, "explanation": "The prediction does not match the ground truth."} Question: "what year did olivia rodrigo win the grammys best new artist award?" Ground Truth: "2022" Prediction: "sure! here's an answer in three words or fewer: 2022 grammy awards." Output: {"score": 1, "explanation": "The prediction answers the correct number of the year."} Question: "how many times have zendaya and tom holland starred in a film together?" Ground Truth: "3" Prediction: "they have starred in 3 films together: spider-man: homecoming, spider-man: far from home, and spider-man: no way home." Output: {"score": 1, "explanation": "The prediction gives the right number and it is reasonable."} Question: "who is younger, timothee chalamet or tom holland?" Ground Truth: "tom holland" Prediction: "timothée chalamet is younger than tom holland." Output: {"score": 0, "explanation": "The prediction does not match the ground truth."} Question: "who had more number one hits on the us billboard, a or b?" Ground Truth: "a had more number one hits on the us billboard than b, with 20 number one hits compared to b's 15." Prediction: "a" Output: {"score": 1, "explanation": "The prediction is a concise and correct summary of the ground truth."} Question: "what is xxx's birthdate?" Ground Truth: "1996-01-01." Prediction: "02/01/1996" Output: {"score": 0, "explanation": "The prediction does not match the ground truth."} Question: "what was the worldwide box office haul for movie x?" Ground Truth: "101756123." Prediction: "102 million" Output: {"score": 1, "explanation": "The prediction exactly matches the number in ground truth after rounding."} Question: "how much has spotify's user base increased by since 2020 in na?" Ground Truth: "spotify's user base increased by 34 million since 2020." Prediction: "spotify's north american user base increased from 36 million in 2020 to 85 million by 2021" Output: {"score": 0, "explanation": "The prediction is not answering the question as it only gives the increase from 2020 to 2021."} """ ================================================ FILE: requirements.txt ================================================ accelerate beautifulsoup4 bitsandbytes blingfire hf-transfer huggingface-hub loguru lxml openai==1.13.3 sentence_transformers torch transformers vllm>=0.4.2 ================================================ FILE: tokenizer/README.md ================================================ # hf-internal-testing/llama-tokenizer This tokenizer has been obtained from: https://huggingface.co/hf-internal-testing/llama-tokenizer ================================================ FILE: tokenizer/special_tokens_map.json ================================================ { "bos_token": { "content": "", "lstrip": false, "normalized": true, "rstrip": false, "single_word": false }, "eos_token": { "content": "", "lstrip": false, "normalized": true, "rstrip": false, "single_word": false }, "unk_token": { "content": "", "lstrip": false, "normalized": true, "rstrip": false, "single_word": false } } ================================================ FILE: tokenizer/tokenizer.json ================================================ { "version": "1.0", "truncation": null, "padding": null, "added_tokens": [ { "id": 0, "content": "", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "special": true }, { "id": 1, "content": "", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "special": true }, { "id": 2, "content": "", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "special": true } ], "normalizer": { "type": "Sequence", "normalizers": [ { "type": "Prepend", "prepend": "▁" }, { "type": "Replace", "pattern": { "String": " " }, "content": "▁" } ] }, "pre_tokenizer": null, "post_processor": { "type": "TemplateProcessing", "single": [ { "SpecialToken": { "id": "", "type_id": 0 } }, { "Sequence": { "id": "A", "type_id": 0 } } ], "pair": [ { "SpecialToken": { "id": "", "type_id": 0 } }, { "Sequence": { "id": "A", "type_id": 0 } }, { "SpecialToken": { "id": "", "type_id": 1 } }, { "Sequence": { "id": "B", "type_id": 1 } } ], "special_tokens": { "": { "id": "", "ids": [ 1 ], "tokens": [ "" ] } } }, "decoder": { "type": "Sequence", "decoders": [ { "type": "Replace", "pattern": { "String": "▁" }, "content": " " }, { "type": "ByteFallback" }, { "type": "Fuse" }, { "type": "Strip", "content": " ", "start": 1, "stop": 0 } ] }, "model": { "type": "BPE", "dropout": null, "unk_token": "", "continuing_subword_prefix": null, "end_of_word_suffix": null, "fuse_unk": true, "byte_fallback": true, "vocab": { "": 0, "": 1, "": 2, "<0x00>": 3, "<0x01>": 4, "<0x02>": 5, "<0x03>": 6, "<0x04>": 7, "<0x05>": 8, "<0x06>": 9, "<0x07>": 10, "<0x08>": 11, "<0x09>": 12, 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"parameters": 16744, "граф": 16745, "Authentication": 16746, "touch": 16747, "Az": 16748, "▁gray": 16749, "encing": 16750, "boldmath": 16751, "▁сайте": 16752, "▁Za": 16753, "anje": 16754, "▁polar": 16755, "▁ули": 16756, "kil": 16757, "▁hover": 16758, "▁REST": 16759, "▁Come": 16760, "jb": 16761, "▁Georgia": 16762, "▁Estado": 16763, "OutputStream": 16764, "ћи": 16765, "▁dump": 16766, "▁Age": 16767, "▁swo": 16768, "mobile": 16769, "occup": 16770, "шего": 16771, "▁constitution": 16772, "good": 16773, "aku": 16774, "▁анг": 16775, "ieck": 16776, "▁Psych": 16777, "▁roots": 16778, "▁vest": 16779, "▁годах": 16780, "▁República": 16781, "▁pian": 16782, "igration": 16783, "▁préc": 16784, "▁generates": 16785, "LY": 16786, "(`": 16787, "▁=~": 16788, "шения": 16789, "▁Rah": 16790, "▁connecting": 16791, "ží": 16792, "▁fő": 16793, "▁appel": 16794, "▁Railway": 16795, "гли": 16796, "▁développ": 16797, "▁apo": 16798, "fran": 16799, "▁immediate": 16800, "вого": 16801, "Runner": 16802, "äg": 16803, 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"omsnitt": 17047, "▁rund": 17048, "▁claimed": 17049, "зня": 17050, "sha": 17051, "▁rag": 17052, "crement": 17053, "▁fünf": 17054, "▁rival": 17055, "rin": 17056, "slash": 17057, "▁thirty": 17058, "sleep": 17059, "ологи": 17060, "SM": 17061, "gate": 17062, "izations": 17063, "vik": 17064, "▁bless": 17065, "▁Illinois": 17066, "▁TE": 17067, "uting": 17068, "▁solving": 17069, "GER": 17070, "▁XIV": 17071, "▁Indians": 17072, "express": 17073, "▁Heil": 17074, "▁mujer": 17075, "▁invånare": 17076, "']);": 17077, "▁aur": 17078, "boost": 17079, "GO": 17080, "▁nin": 17081, "tok": 17082, "god": 17083, "oter": 17084, ")$$": 17085, "▁descend": 17086, "рю": 17087, "▁Language": 17088, "▁diver": 17089, "▁Assuming": 17090, "▁frequent": 17091, "чні": 17092, "▁Biography": 17093, ",[": 17094, "urm": 17095, "▁walked": 17096, "▁federal": 17097, "▁Michigan": 17098, "▁facts": 17099, "▁Integr": 17100, "LES": 17101, "▁Alan": 17102, "▁coup": 17103, "Ber": 17104, "▁particles": 17105, "ће": 17106, "Inflater": 17107, "+(": 17108, "Bound": 17109, "▁Sü": 17110, "Audio": 17111, "citet": 17112, "yect": 17113, "▁nr": 17114, "xe": 17115, "▁Brun": 17116, "▁_,": 17117, "avor": 17118, "▁discipl": 17119, "alm": 17120, "▁ноября": 17121, "▁SSL": 17122, "▁Kaiser": 17123, "▁recher": 17124, "ygon": 17125, "▁regardless": 17126, "▁configur": 17127, "▁unnecess": 17128, "▁Clark": 17129, "PHP": 17130, "▁FALSE": 17131, "▁pad": 17132, "$}": 17133, "▁valu": 17134, "▁disease": 17135, "▁maior": 17136, "▁hommes": 17137, "▁Edition": 17138, "slant": 17139, "▁ending": 17140, "▁settled": 17141, "urus": 17142, "hed": 17143, "Pattern": 17144, "▁година": 17145, "▁Philadel": 17146, "tikzpicture": 17147, "▁coal": 17148, "▁sede": 17149, "▁satisfies": 17150, "▁trim": 17151, "▁bat": 17152, "▁américain": 17153, "▁luglio": 17154, "▁поча": 17155, "ffff": 17156, "▁Target": 17157, "generate": 17158, "▁Zie": 17159, "ția": 17160, "▁gard": 17161, "▁workers": 17162, "▁Job": 17163, "▁urban": 17164, "ahlen": 17165, "▁Building": 17166, "▁neu": 17167, "▁chron": 17168, "▁Earl": 17169, "gro": 17170, "USE": 17171, "▁XII": 17172, "▁wealth": 17173, "inae": 17174, "▁Бра": 17175, "▁libert": 17176, "iros": 17177, ":$": 17178, "lee": 17179, "ieves": 17180, "▁Justice": 17181, "▁oil": 17182, "▁Athlet": 17183, "▁clo": 17184, "Scale": 17185, "▁lips": 17186, "▁april": 17187, "▁impression": 17188, "▁perce": 17189, "▁участи": 17190, "vil": 17191, "éch": 17192, "▁equality": 17193, "▁мет": 17194, "▁annotation": 17195, "ernal": 17196, "▁Mach": 17197, "▁intitul": 17198, "problem": 17199, "ющих": 17200, "oplus": 17201, "▁thousands": 17202, "▁calculations": 17203, "umps": 17204, "▁triangle": 17205, "phal": 17206, "▁Dorf": 17207, "▁dollars": 17208, "▁denen": 17209, "lès": 17210, "olid": 17211, "▁Results": 17212, "▁Stadium": 17213, "▁Desp": 17214, "▁Eisen": 17215, "imir": 17216, "▁sotto": 17217, "▁či": 17218, "atable": 17219, "orum": 17220, "▁convergence": 17221, "▁jeune": 17222, "oking": 17223, "▁живо": 17224, "aining": 17225, "pointer": 17226, "culo": 17227, "▁jsou": 17228, "▁grab": 17229, "akte": 17230, "▁hoping": 17231, "▁Mak": 17232, "▁sag": 17233, "origine": 17234, "▁послед": 17235, "▁Veg": 17236, "▁theoret": 17237, "▁Tru": 17238, "nement": 17239, "▁faces": 17240, "Hor": 17241, "Join": 17242, "arel": 17243, "▁около": 17244, "However": 17245, "▁catal": 17246, "bourg": 17247, "▁mysqli": 17248, "acions": 17249, "▁Initial": 17250, "▁rain": 17251, "iture": 17252, "▁Sciences": 17253, "▁Kreis": 17254, ".__": 17255, "▁cinq": 17256, "▁Auß": 17257, "ithmet": 17258, "itors": 17259, "amazon": 17260, "▁gap": 17261, "▁ignored": 17262, "adv": 17263, "кої": 17264, "▁часть": 17265, "▁corpor": 17266, "цер": 17267, "▁crime": 17268, "uous": 17269, "▁налази": 17270, "DataFrame": 17271, "води": 17272, "Ign": 17273, "▁Lincoln": 17274, "▁menos": 17275, "▁Luft": 17276, "▁Lind": 17277, "▁Cook": 17278, "▁materials": 17279, "apped": 17280, "ignore": 17281, "▁откры": 17282, "fried": 17283, "▁gouvernement": 17284, "▁fired": 17285, "▁screenshot": 17286, "сен": 17287, "▁[(": 17288, "▁организа": 17289, "Graphics": 17290, "▁проти": 17291, "▁phen": 17292, "craft": 17293, "▁brain": 17294, "▁Como": 17295, "▁Everything": 17296, "anes": 17297, "IGN": 17298, "▁nederbörd": 17299, "▁Forest": 17300, "zahl": 17301, "▁Among": 17302, "Qt": 17303, "▁togg": 17304, "▁variant": 17305, "▁hill": 17306, "писи": 17307, "colon": 17308, "▁dicembre": 17309, "гор": 17310, "▁Wind": 17311, "ünstler": 17312, "▁=\\": 17313, "saved": 17314, "▁nej": 17315, "unte": 17316, "utto": 17317, "▁recens": 17318, "▁sick": 17319, "▁desen": 17320, "UST": 17321, "▁worst": 17322, "▁Angel": 17323, "odox": 17324, "▁Province": 17325, "▁Maz": 17326, "▁agreement": 17327, "▁Bass": 17328, "▁segunda": 17329, "onces": 17330, "▁Linki": 17331, "▁CL": 17332, "▁já": 17333, "itement": 17334, "▁área": 17335, "▁scalar": 17336, "▁Рес": 17337, "awt": 17338, "sieme": 17339, "▁juni": 17340, "▁худож": 17341, "ikus": 17342, "▁lid": 17343, "ppel": 17344, "avi": 17345, "▁balance": 17346, "ipping": 17347, "cussion": 17348, "ческих": 17349, "(\".": 17350, "Also": 17351, "▁whis": 17352, "HOME": 17353, "▁brown": 17354, "▁día": 17355, "▁può": 17356, "plotlib": 17357, "▁Jahrhunderts": 17358, "DK": 17359, "▁anchor": 17360, "...]": 17361, "▁Austria": 17362, "▁marca": 17363, "▁gez": 17364, "iously": 17365, "▁lazy": 17366, "xa": 17367, "▁Channel": 17368, "▁neuen": 17369, "das": 17370, "▁searched": 17371, "▁staat": 17372, "▁Так": 17373, "▁Josef": 17374, "▁Sher": 17375, "pois": 17376, "▁enem": 17377, "▁accessing": 17378, "▁неко": 17379, "▁furono": 17380, "▁pseudo": 17381, "?>": 17382, "▁estadoun": 17383, "▁Види": 17384, "▁motiv": 17385, "▁recall": 17386, "isson": 17387, "ób": 17388, ")--": 17389, "▁Erz": 17390, "▁савез": 17391, "Direct": 17392, "соб": 17393, "▁sho": 17394, "völker": 17395, "Ap": 17396, "gens": 17397, "ништво": 17398, "▁Amsterdam": 17399, "usk": 17400, "пло": 17401, "▁simulation": 17402, "▁BC": 17403, "▁Woj": 17404, "autom": 17405, "Alex": 17406, "▁economic": 17407, "гом": 17408, "ikai": 17409, "▁altre": 17410, "▁'-": 17411, "▁Weg": 17412, "NotFound": 17413, "йской": 17414, "▁converting": 17415, "phabet": 17416, "atrice": 17417, "bourne": 17418, "alom": 17419, "▁comparing": 17420, "▁Zo": 17421, "▁fla": 17422, "вая": 17423, "▁entra": 17424, "▁charset": 17425, "developers": 17426, "ística": 17427, "}>": 17428, "▁Jazz": 17429, "▁Howard": 17430, "шта": 17431, "▁clone": 17432, "door": 17433, "▁Pin": 17434, "***": 17435, "▁silent": 17436, "ecycle": 17437, "isce": 17438, "▁mud": 17439, "▁Display": 17440, "▁lip": 17441, "▁использова": 17442, "▁characteristic": 17443, "▁sb": 17444, "firebase": 17445, "▁Bew": 17446, "Calendar": 17447, "▁uso": 17448, "èse": 17449, "▁Rat": 17450, "▁esper": 17451, "▁throwing": 17452, "▁rodz": 17453, "▁yards": 17454, "▁grass": 17455, "▁marker": 17456, "▁Kos": 17457, "Theta": 17458, "▁organis": 17459, "kernel": 17460, "▁personas": 17461, "keep": 17462, "▁exclaimed": 17463, "oslav": 17464, "▁Entertain": 17465, "нер": 17466, "▁inwon": 17467, "▁Rand": 17468, "reduce": 17469, "fac": 17470, "expression": 17471, "yj": 17472, "▁differenti": 17473, "aglia": 17474, "▁templates": 17475, "▁mű": 17476, "▁prv": 17477, "▁mois": 17478, "▁gewann": 17479, "▁була": 17480, "bibli": 17481, "demo": 17482, "▁Anderson": 17483, "▁ред": 17484, "▁porque": 17485, "▁Pologne": 17486, "▁trip": 17487, "▁exemple": 17488, "▁Internacional": 17489, "▁као": 17490, "Insert": 17491, "general": 17492, "SESSION": 17493, "berga": 17494, "hält": 17495, "unas": 17496, "мира": 17497, "▁yields": 17498, "mapsto": 17499, "spot": 17500, "▁+\\": 17501, "лла": 17502, "▁precisely": 17503, "▁член": 17504, "shadow": 17505, "Are": 17506, "unal": 17507, "▁dispar": 17508, "▁título": 17509, "nest": 17510, "▁Low": 17511, "▁prot": 17512, "▁Costa": 17513, "named": 17514, "▁gained": 17515, "lesia": 17516, "▁administration": 17517, "Import": 17518, "branch": 17519, "▁sympath": 17520, "voj": 17521, "▁EC": 17522, "▁municipio": 17523, "▁animated": 17524, "▁directories": 17525, "▁roof": 17526, "ząd": 17527, "imet": 17528, "proto": 17529, "bla": 17530, ":]": 17531, "have": 17532, "atem": 17533, "▁ns": 17534, "▁sector": 17535, "three": 17536, "owane": 17537, "wers": 17538, "ових": 17539, "rence": 17540, "▁extr": 17541, "igten": 17542, "▁occident": 17543, "ță": 17544, "▁eat": 17545, "▁hydro": 17546, "ubernetes": 17547, "[@": 17548, "▁Moon": 17549, "▁Sho": 17550, "▁elsewhere": 17551, "üller": 17552, "Upload": 17553, "ланд": 17554, "▁För": 17555, "wissenschaft": 17556, "KS": 17557, "▁physics": 17558, "tz": 17559, "▁серед": 17560, "▁Arbeit": 17561, "▁мест": 17562, "▁Gebiet": 17563, "▁insect": 17564, "Ah": 17565, "izado": 17566, "▁temple": 17567, "▁annual": 17568, "stad": 17569, "▁habitat": 17570, "▁AB": 17571, "wort": 17572, "▁repos": 17573, "▁Neu": 17574, "▁$(\".": 17575, "Vorlage": 17576, "▁reprezent": 17577, "estanden": 17578, "Intern": 17579, ".`": 17580, "▁failing": 17581, "▁Material": 17582, "▁effectively": 17583, "телем": 17584, "▁гла": 17585, "▁nahm": 17586, "▁differently": 17587, "extension": 17588, "▁Verm": 17589, "enabled": 17590, "configure": 17591, "nio": 17592, "ciones": 17593, "▁Beach": 17594, "сона": 17595, "▁copying": 17596, "▁україн": 17597, "▁призна": 17598, "zh": 17599, "Desktop": 17600, "▁sost": 17601, "▁subsequently": 17602, "▁Lehr": 17603, "▁ó": 17604, "lär": 17605, "odor": 17606, "phon": 17607, "nc": 17608, "iterator": 17609, "▁эти": 17610, "▁europé": 17611, "▁Toronto": 17612, "ódigo": 17613, "▁posto": 17614, "ffe": 17615, "▁crew": 17616, "▁Schwar": 17617, "Sa": 17618, "square": 17619, "▁beside": 17620, "▁Мі": 17621, "▁ath": 17622, "▁advent": 17623, "cji": 17624, "written": 17625, "▁russ": 17626, "rost": 17627, "HI": 17628, "▁dice": 17629, "cca": 17630, "▁dép": 17631, "ply": 17632, "bigg": 17633, "ział": 17634, "ütt": 17635, "▁одно": 17636, "JECT": 17637, "ському": 17638, "nos": 17639, "mock": 17640, "Launch": 17641, "same": 17642, "▁jobs": 17643, "▁widely": 17644, "▁defines": 17645, "▁Pse": 17646, "▁neighbour": 17647, "ющие": 17648, "▁closer": 17649, "▁располо": 17650, "▁clubs": 17651, "fly": 17652, "шим": 17653, "▁suffered": 17654, "▁nar": 17655, "▁lavor": 17656, "Extension": 17657, "itionally": 17658, "▁grace": 17659, "▁Campeonato": 17660, "▁Christmas": 17661, "middle": 17662, "othek": 17663, "elements": 17664, "▁sondern": 17665, "▁tarde": 17666, "▁permanent": 17667, "▁conclude": 17668, "Seg": 17669, "▁акаде": 17670, "}\",": 17671, "▁февраля": 17672, "řed": 17673, "▁IL": 17674, "jud": 17675, "▁USS": 17676, "▁Nature": 17677, "ifference": 17678, "Serializer": 17679, "▁twelve": 17680, "tid": 17681, "мия": 17682, "ческого": 17683, "▁calendar": 17684, "concat": 17685, "▁intersection": 17686, "▁PA": 17687, "azure": 17688, "▁située": 17689, "▁kinds": 17690, "▁ausge": 17691, "▁rural": 17692, "Theme": 17693, "▁tale": 17694, "noindent": 17695, "going": 17696, "rx": 17697, "agi": 17698, "wrapper": 17699, "▁Coast": 17700, "mbH": 17701, "▁перед": 17702, "spre": 17703, "▁}\\": 17704, "▁LI": 17705, "znam": 17706, "itled": 17707, "Sample": 17708, "uliar": 17709, "*\\": 17710, "▁resistance": 17711, "stock": 17712, "ked": 17713, "▁HE": 17714, "▁possession": 17715, "▁Ring": 17716, "▁magyar": 17717, "outs": 17718, "▁Secretary": 17719, "nde": 17720, "▁Wald": 17721, "-(": 17722, "▁ISO": 17723, "▁afternoon": 17724, "ionen": 17725, "▁stops": 17726, "▁constants": 17727, "guard": 17728, "bow": 17729, "▁ers": 17730, "▁Firebase": 17731, "▁Clear": 17732, "▁Holy": 17733, "Win": 17734, "▁titles": 17735, "▁трав": 17736, "▁contrib": 17737, "häng": 17738, "▁photograph": 17739, "▁Distribution": 17740, "ifts": 17741, "▁aunque": 17742, "comb": 17743, "ADD": 17744, "▁publication": 17745, "▁служ": 17746, "▁кня": 17747, "▁ayant": 17748, "▁restore": 17749, "▁belief": 17750, "▁vég": 17751, "▁extensions": 17752, "▁decom": 17753, "вший": 17754, "WT": 17755, "▁parti": 17756, "▁gioc": 17757, "▁мира": 17758, "▁issu": 17759, "pipe": 17760, "▁props": 17761, "▁willing": 17762, "▁nest": 17763, "aso": 17764, "pot": 17765, "▁handles": 17766, "▁фо": 17767, "▁moder": 17768, "▁ebenfalls": 17769, "▁fighting": 17770, "umbn": 17771, "▁transparent": 17772, "▁Krist": 17773, "▁homes": 17774, "▁voyage": 17775, "Failed": 17776, "▁Bird": 17777, "▁Heart": 17778, "Counter": 17779, "▁Scottish": 17780, "ática": 17781, "▁arbeit": 17782, "^{-\\": 17783, "▁Sor": 17784, "▁engaged": 17785, "▁aside": 17786, "▁Fou": 17787, "▁wiel": 17788, "▁reconst": 17789, "ousin": 17790, "▁hosted": 17791, "▁classe": 17792, "▁contest": 17793, "...\"": 17794, "мом": 17795, "▁bean": 17796, "gem": 17797, "▁consultato": 17798, "▁bio": 17799, "▁subjects": 17800, "boBox": 17801, "▁Schrift": 17802, "▁dinner": 17803, "ăr": 17804, "▁równ": 17805, "▁%%": 17806, "bage": 17807, "▁veröff": 17808, "▁detected": 17809, "ienn": 17810, "rose": 17811, "▁Ton": 17812, "Complete": 17813, "▁proto": 17814, "ichts": 17815, "STAT": 17816, "Checked": 17817, "▁inten": 17818, "▁smile": 17819, "▁strip": 17820, "neut": 17821, "');\r": 17822, "four": 17823, "▁todas": 17824, "Controls": 17825, "▁thorough": 17826, "rup": 17827, "▁држави": 17828, "ită": 17829, "Protocol": 17830, "Ка": 17831, "▁expanded": 17832, "extra": 17833, "oport": 17834, "▁Станов": 17835, "leases": 17836, "▁notion": 17837, "▁guest": 17838, "▁Islands": 17839, "icked": 17840, "▁Dave": 17841, "▁reflection": 17842, "liv": 17843, "ální": 17844, "▁revealed": 17845, "▁sog": 17846, "▁Tax": 17847, "▁periodo": 17848, "▁Weltkrie": 17849, "catalina": 17850, "qué": 17851, "▁Father": 17852, "▁Bir": 17853, "expect": 17854, "▁regression": 17855, "iné": 17856, "▁dabei": 17857, "perm": 17858, "мене": 17859, "▁Abd": 17860, "▁CF": 17861, "arks": 17862, "resolve": 17863, "wedge": 17864, "▁initialization": 17865, "▁Véase": 17866, "▁приня": 17867, "stmt": 17868, "▁income": 17869, "MY": 17870, "▁odkazy": 17871, "▁Siehe": 17872, "▁bodies": 17873, "▁soc": 17874, "Random": 17875, "▁senza": 17876, "ablo": 17877, "▁regarded": 17878, "onCreate": 17879, "▁Magazine": 17880, "▁Raf": 17881, "▁Buenos": 17882, "ил": 17883, ")));": 17884, "capt": 17885, "redirect": 17886, "▁petit": 17887, "▁farm": 17888, "▁rôle": 17889, "▁статьи": 17890, "    ": 17891, "subfigure": 17892, "èces": 17893, "ziel": 17894, "▁окон": 17895, "EE": 17896, "mee": 17897, "▁perten": 17898, "▁représent": 17899, "▁LA": 17900, "?'": 17901, "▁тру": 17902, "▁rational": 17903, "osof": 17904, "▁kne": 17905, "▁artists": 17906, "Flow": 17907, "▁Аль": 17908, "izard": 17909, "▁numero": 17910, "actic": 17911, "▁destruct": 17912, "▁Пра": 17913, "onsieur": 17914, "qt": 17915, "abestanden": 17916, "ność": 17917, "Connect": 17918, "▁oracle": 17919, "▁Stockholm": 17920, "sizeof": 17921, "▁gemäß": 17922, "ACT": 17923, "▁expert": 17924, "utions": 17925, "▁hacia": 17926, "▁logger": 17927, "▁fool": 17928, "rypto": 17929, "ær": 17930, "▁cidade": 17931, "▁составе": 17932, "oker": 17933, "▁Transfer": 17934, "▁denied": 17935, "Track": 17936, "▁radi": 17937, "zec": 17938, "▁Historic": 17939, "▁Einwohner": 17940, "кою": 17941, "▁хра": 17942, "▁Category": 17943, "▁Disney": 17944, "▁swap": 17945, "Begin": 17946, "▁mientras": 17947, "▁dance": 17948, "▁tête": 17949, "▁droit": 17950, "erta": 17951, "▁birds": 17952, "▁convin": 17953, "parator": 17954, "дра": 17955, "▁ES": 17956, "▁Ressources": 17957, "EGIN": 17958, "ücke": 17959, "▁Cruz": 17960, "abling": 17961, "▁\"@": 17962, "▁metres": 17963, "▁Beg": 17964, "▁Gründ": 17965, "▁Boh": 17966, "▁mile": 17967, "▁Technology": 17968, "\"+": 17969, "acco": 17970, "▁ss": 17971, "▁Fed": 17972, "▁Hend": 17973, "usch": 17974, "itä": 17975, "folk": 17976, "▁absor": 17977, "antal": 17978, "odge": 17979, "▁WHEN": 17980, "▁Externí": 17981, "▁Regiment": 17982, "▁evaluation": 17983, "▁Tai": 17984, "▁vocals": 17985, "▁experimental": 17986, "embed": 17987, "▁Minn": 17988, "▁вме": 17989, "prec": 17990, "every": 17991, "▁hoof": 17992, "▁Fernando": 17993, "▁Bibliographie": 17994, "▁nag": 17995, "amerikanischer": 17996, "▁marks": 17997, "▁UTC": 17998, "▁uncertain": 17999, "дия": 18000, "olia": 18001, "▁cup": 18002, "▁fille": 18003, "▁dok": 18004, "useppe": 18005, "esterd": 18006, "▁Brand": 18007, "▁Third": 18008, "PP": 18009, "nodes": 18010, "▁Pad": 18011, "▁loved": 18012, "swing": 18013, "▁surprised": 18014, "ardi": 18015, "▁GR": 18016, "]\"": 18017, "▁equally": 18018, "ihe": 18019, "care": 18020, "писок": 18021, "lijk": 18022, "rinn": 18023, "▁\\[\\": 18024, "▁sons": 18025, "▁tät": 18026, "icamente": 18027, "▁listing": 18028, "iellement": 18029, "▁nyelven": 18030, "▁ds": 18031, "▁agricult": 18032, "▁Hermann": 18033, "▁besides": 18034, "progress": 18035, "▁peculiar": 18036, "focus": 18037, "cn": 18038, "-$": 18039, "ственный": 18040, "ourg": 18041, "▁wyn": 18042, "▁conducted": 18043, "▁Становништво": 18044, "connected": 18045, "▁bott": 18046, "▁смер": 18047, "▁Poz": 18048, "unct": 18049, "conda": 18050, "▁савезној": 18051, "▁havet": 18052, "ligt": 18053, "orted": 18054, "▁entering": 18055, "multip": 18056, "▁Temple": 18057, "▁Plant": 18058, "typeof": 18059, "▁Vlad": 18060, "▁qued": 18061, "▁reste": 18062, "▁май": 18063, "▁Very": 18064, "ambiguation": 18065, "▁challeng": 18066, "▁respective": 18067, "▁тор": 18068, "Ctrl": 18069, "▁absence": 18070, "aru": 18071, "вое": 18072, "▁först": 18073, "▁sq": 18074, "▁Emperor": 18075, "▁Ign": 18076, "▁това": 18077, ":`": 18078, "adoop": 18079, "▁Madame": 18080, "▁gruppo": 18081, "stud": 18082, "▁externas": 18083, "▁Александр": 18084, "▁dign": 18085, "▁живе": 18086, "Amount": 18087, "▁correlate": 18088, "▁Fant": 18089, "▁rails": 18090, "fp": 18091, "министратив": 18092, "▁bought": 18093, "▁filters": 18094, "▁ancora": 18095, "▁partner": 18096, "▁quand": 18097, "symbol": 18098, "ulating": 18099, "▁zd": 18100, "awn": 18101, "▁Grant": 18102, "because": 18103, "rable": 18104, "\\}": 18105, "ísticas": 18106, "▁уче": 18107, "▁période": 18108, "▁ske": 18109, "▁Anyway": 18110, "▁indexes": 18111, "▁directions": 18112, "▁RAM": 18113, "chrome": 18114, "▁apost": 18115, "▁warnings": 18116, "▁Airport": 18117, "VI": 18118, "abile": 18119, "▁lord": 18120, "provider": 18121, "▁Ji": 18122, "ostream": 18123, "▁gemeente": 18124, "tableView": 18125, "Extra": 18126, "cursor": 18127, "eground": 18128, "▁Moz": 18129, "▁rib": 18130, "▁morph": 18131, "loads": 18132, "elsk": 18133, "▁MAX": 18134, "▁Santiago": 18135, "▁Him": 18136, "codes": 18137, "▁lanz": 18138, "▁counts": 18139, "rinningsområ": 18140, "щё": 18141, "▁spé": 18142, "▁pierws": 18143, "▁Sver": 18144, "▁acknow": 18145, "Boolean": 18146, "▁фамили": 18147, "▁Senate": 18148, "шов": 18149, "agers": 18150, "▁Nueva": 18151, "bil": 18152, "kiem": 18153, "▁Mey": 18154, "wij": 18155, "▁GmbH": 18156, "validation": 18157, "▁ensuite": 18158, "inking": 18159, "▁campion": 18160, "▁financial": 18161, "izon": 18162, "Headers": 18163, "▁deprecated": 18164, "▁fonction": 18165, "REG": 18166, "▁volumes": 18167, "▁Chi": 18168, "▁encountered": 18169, "lak": 18170, "рая": 18171, "▁continues": 18172, "▁~[": 18173, "uerte": 18174, "▁\\;": 18175, "▁Dok": 18176, "▁weights": 18177, "▁rh": 18178, "▁Napole": 18179, "▁naturally": 18180, "sku": 18181, "pas": 18182, "▁gegründ": 18183, "etr": 18184, "▁Ku": 18185, "icted": 18186, "▁fabric": 18187, "▁ASC": 18188, "▁Entertainment": 18189, "▁energ": 18190, "клад": 18191, "omon": 18192, "theme": 18193, "▁харак": 18194, "▁draft": 18195, "▁channels": 18196, "▁desert": 18197, "▁través": 18198, "▁Lock": 18199, "▁siendo": 18200, "фек": 18201, "même": 18202, "▁packet": 18203, "▁Mountain": 18204, "▁Fahr": 18205, "braio": 18206, "пере": 18207, "▁genannt": 18208, "▁deployment": 18209, "Pal": 18210, "ног": 18211, "стру": 18212, "Prim": 18213, "für": 18214, "▁dangerous": 18215, "▁szám": 18216, "reck": 18217, "▁popup": 18218, "icky": 18219, "inar": 18220, "cowo": 18221, "нцикло": 18222, "ítás": 18223, "▁plugins": 18224, "▁driven": 18225, "лев": 18226, "▁\"(": 18227, "tta": 18228, "▁Ú": 18229, "▁eb": 18230, "▁'';": 18231, "▁knock": 18232, "▁основа": 18233, "▁maison": 18234, "гля": 18235, "▁Honor": 18236, "tail": 18237, "ritz": 18238, "▁guys": 18239, "▁combinations": 18240, "ondere": 18241, "▁Ald": 18242, "▁fiddle": 18243, "дав": 18244, "urd": 18245, "▁projection": 18246, "▁También": 18247, "verb": 18248, "▁terre": 18249, "rugu": 18250, "▁september": 18251, "▁=": 18572, "▁Beat": 18573, "▁Sax": 18574, "vertical": 18575, "кто": 18576, "▁plants": 18577, "▁Références": 18578, "▁ogni": 18579, "▁curs": 18580, "▁SK": 18581, "они": 18582, "▁destac": 18583, "\");\r": 18584, "▁Sure": 18585, "▁partido": 18586, "▁Folge": 18587, "▁Moore": 18588, "▁wz": 18589, "скус": 18590, "ltre": 18591, "ondo": 18592, "▁pose": 18593, "imos": 18594, "бой": 18595, "ципа": 18596, "jus": 18597, ".....": 18598, "▁época": 18599, "▁quanto": 18600, "▁Support": 18601, "geschichte": 18602, "SERVER": 18603, "▁Georges": 18604, "enum": 18605, "▁herm": 18606, "▁nebo": 18607, "▁Chr": 18608, "character": 18609, "▁***": 18610, "▁Forsch": 18611, "iami": 18612, "▁¿": 18613, "cych": 18614, "▁fifth": 18615, "sent": 18616, "▁anderem": 18617, "▁proportion": 18618, "▁prest": 18619, "▁Girl": 18620, "▁drama": 18621, "wand": 18622, "▁Mail": 18623, "▁Lux": 18624, "▁který": 18625, "▁Gesellschaft": 18626, "▁Hinweis": 18627, "nisse": 18628, "▁mondo": 18629, "Eq": 18630, "▁perí": 18631, "▁eastern": 18632, "▁UEFA": 18633, "uale": 18634, "▁convex": 18635, "▁поль": 18636, "▁Hey": 18637, "zenie": 18638, "initely": 18639, "▁Zusammen": 18640, "SSL": 18641, "ocal": 18642, "▁canal": 18643, "voy": 18644, "▁Кри": 18645, "▁között": 18646, "▁cars": 18647, "▁versión": 18648, "Environment": 18649, "Her": 18650, "▁señ": 18651, "▁spatial": 18652, "ymi": 18653, "Fire": 18654, "▁veget": 18655, "▁Wie": 18656, "▁znaj": 18657, "▁damage": 18658, "▁endl": 18659, "gif": 18660, "▁quali": 18661, "▁которых": 18662, "ellan": 18663, "▁mens": 18664, "▁plug": 18665, "▁abund": 18666, "FIG": 18667, "▁sf": 18668, "▁confl": 18669, "▁населения": 18670, "▁principles": 18671, "▁Gabriel": 18672, "ibe": 18673, "▁{%": 18674, "▁població": 18675, "ніципа": 18676, "▁extreme": 18677, "▁asse": 18678, "▁vu": 18679, "Mock": 18680, "▁spielte": 18681, "▁Aer": 18682, "▁datos": 18683, "endes": 18684, "▁Gel": 18685, "▁Gor": 18686, "Christ": 18687, "chos": 18688, "Processor": 18689, "▁instruct": 18690, "▁picked": 18691, "nahme": 18692, "fahr": 18693, "▁indicated": 18694, "▁%.": 18695, "▁ts": 18696, "▁notable": 18697, "▁qualified": 18698, "▁Ал": 18699, "Black": 18700, "▁council": 18701, "▁overhead": 18702, "aci": 18703, "année": 18704, "▁initWith": 18705, "bió": 18706, "▁introduction": 18707, "▁companion": 18708, "▁expon": 18709, "▁kör": 18710, "oby": 18711, "burn": 18712, "gnu": 18713, "virtual": 18714, "▁intellect": 18715, "▁держа": 18716, "'+": 18717, "бле": 18718, "▁strictly": 18719, "▁recognize": 18720, "hour": 18721, "▁Wrest": 18722, "ennen": 18723, "$).": 18724, "fff": 18725, "▁Centro": 18726, "▁Pitt": 18727, "▁dział": 18728, "▁cela": 18729, "▁francese": 18730, "рами": 18731, "special": 18732, "▁Dup": 18733, "toire": 18734, "каль": 18735, "COUNT": 18736, "▁Brook": 18737, "▁руково": 18738, "publique": 18739, "▁seconda": 18740, "▁compt": 18741, "▁bland": 18742, "Before": 18743, "▁Pack": 18744, "alty": 18745, "öder": 18746, "▁intervals": 18747, "▁Datenbank": 18748, "Movie": 18749, "▁transm": 18750, "▁tap": 18751, "▁поч": 18752, "fon": 18753, "iai": 18754, "▁fib": 18755, "▁wyd": 18756, "▁hung": 18757, "▁alive": 18758, "Clear": 18759, "▁pushed": 18760, "▁tuple": 18761, "achen": 18762, "гово": 18763, "▁revers": 18764, "▁augment": 18765, "▁challenge": 18766, "lost": 18767, "▁deuxième": 18768, "structor": 18769, "▁mehrerer": 18770, "atural": 18771, "Split": 18772, "стем": 18773, "шла": 18774, ")\\\\": 18775, "▁Dog": 18776, "▁developers": 18777, "▁nod": 18778, "▁сторо": 18779, "▁NaN": 18780, "▁priest": 18781, "▁exha": 18782, "UND": 18783, "pair": 18784, "alone": 18785, "▁moon": 18786, "▁#!/": 18787, "▁guns": 18788, "rola": 18789, "чита": 18790, "▁Encyclopedia": 18791, "atis": 18792, "▁'\"": 18793, "zych": 18794, "▁superfic": 18795, "▁эк": 18796, "едера": 18797, "feed": 18798, "LAY": 18799, "Fi": 18800, "unks": 18801, "isecond": 18802, "▁'@": 18803, "▁Adding": 18804, "рое": 18805, "▁tang": 18806, "цо": 18807, "hung": 18808, "bis": 18809, "ského": 18810, "▁advert": 18811, "▁занима": 18812, "uzz": 18813, "ágina": 18814, "▁Tel": 18815, "sig": 18816, "▁Ez": 18817, "▁guarantee": 18818, "▁teaching": 18819, "oty": 18820, "termin": 18821, "▁distributions": 18822, "FLA": 18823, "▁Giuseppe": 18824, "querySelector": 18825, "▁/\\": 18826, "▁Squad": 18827, "gz": 18828, "delay": 18829, "▁surrounding": 18830, "▁manus": 18831, "▁Hou": 18832, "²,": 18833, "▁cultiv": 18834, "▁troubles": 18835, "▁raison": 18836, "expand": 18837, "▁cov": 18838, "nungen": 18839, ")){": 18840, "▁geen": 18841, "▁außer": 18842, "▁Лі": 18843, "ři": 18844, "▁situations": 18845, "▁telep": 18846, "▁Jed": 18847, "▁travail": 18848, "lias": 18849, "bullet": 18850, "▁selecting": 18851, "avier": 18852, "▁essential": 18853, "(/": 18854, "yyyy": 18855, "ště": 18856, "ulty": 18857, "▁kra": 18858, "▁tabs": 18859, "▁experienced": 18860, "azi": 18861, "▁Directory": 18862, "▁cron": 18863, "▁spend": 18864, "▁RA": 18865, "▁selenium": 18866, "▁Thé": 18867, "Elements": 18868, "cii": 18869, "▁plat": 18870, "▁archive": 18871, "▁assistance": 18872, "▁neck": 18873, "▁Avenue": 18874, "▁wheel": 18875, "▁hade": 18876, "Common": 18877, "▁Dialog": 18878, "▁forg": 18879, "▁surely": 18880, "▁hockey": 18881, "któ": 18882, "▁tk": 18883, "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁": 18884, "▁Bruce": 18885, "▁enorm": 18886, ",’": 18887, "▁Christopher": 18888, "jev": 18889, "▁quad": 18890, "▁AJAX": 18891, "▁relief": 18892, "▁modes": 18893, "sklär": 18894, "▁Vid": 18895, "▁Serial": 18896, "▁tokens": 18897, "▁Poland": 18898, "\\]": 18899, "▁vide": 18900, "rooms": 18901, "omas": 18902, "▁Bureau": 18903, "cx": 18904, "ностью": 18905, "▁signs": 18906, "шение": 18907, "lossen": 18908, "▁Queens": 18909, "▁membre": 18910, "▁mez": 18911, "▁Bool": 18912, "▁Naj": 18913, "▁Memory": 18914, "▁Khan": 18915, "▁là": 18916, "▁Hud": 18917, "▁dismiss": 18918, "ighth": 18919, "▁fs": 18920, "prevent": 18921, "▁меда": 18922, "▁Police": 18923, "▁ско": 18924, "finite": 18925, "▁ami": 18926, "▁Much": 18927, "owania": 18928, "ORY": 18929, "iors": 18930, "▁Premio": 18931, "▁textbox": 18932, "dm": 18933, "▁afin": 18934, "▁Donald": 18935, "▁Priv": 18936, "▁decid": 18937, "▁Maurice": 18938, "agan": 18939, "▁Britannica": 18940, "▁oft": 18941, "▁consecutive": 18942, "\"?>": 18943, "овий": 18944, "student": 18945, "▁peque": 18946, "▁dieses": 18947, "▁retour": 18948, "étr": 18949, "▁сез": 18950, "▁kre": 18951, "▁votes": 18952, "ruption": 18953, "izada": 18954, "▁Wiel": 18955, "▁Gray": 18956, "▁Leop": 18957, "teilung": 18958, "(['": 18959, "▁whites": 18960, "frica": 18961, "animation": 18962, "curl": 18963, "lings": 18964, "=\"$": 18965, "loyd": 18966, "textsc": 18967, "ору": 18968, "▁села": 18969, "esian": 18970, "▁Mission": 18971, "▁неза": 18972, "▁ultimately": 18973, "бов": 18974, "olen": 18975, "скому": 18976, "nete": 18977, "▁Dit": 18978, "▁costru": 18979, "dependent": 18980, "▁Resource": 18981, "▁hosts": 18982, "▁rear": 18983, "Duration": 18984, "ників": 18985, "Ма": 18986, "▁planning": 18987, "▁prediction": 18988, "▁Lyn": 18989, "▁kir": 18990, "▁Legisl": 18991, "мат": 18992, "▁Soccer": 18993, "▁survey": 18994, "▁estadounidense": 18995, "orgen": 18996, "jourd": 18997, "▁aprile": 18998, "▁ids": 18999, "ське": 19000, "▁employee": 19001, "▁Schauspieler": 19002, "ръ": 19003, "▁multimedia": 19004, "▁свою": 19005, "▁wine": 19006, "▁EU": 19007, "ică": 19008, "▁Rhein": 19009, "▁Palmar": 19010, "oteca": 19011, "▁prepare": 19012, "▁Tot": 19013, "▁Null": 19014, "▁kin": 19015, "inals": 19016, "▁Newton": 19017, "▁tbl": 19018, "▁Sold": 19019, "▁verf": 19020, "aturing": 19021, "▁laptop": 19022, "▁Совет": 19023, "secret": 19024, "▁Olympic": 19025, "▁footballer": 19026, "▁Rudolf": 19027, "▁conhe": 19028, "zysk": 19029, "▁evaluated": 19030, "»)": 19031, "shop": 19032, "repository": 19033, "▁zach": 19034, "▁losing": 19035, "etter": 19036, "▁Wirtschaft": 19037, "так": 19038, "▁unnecessary": 19039, "▁Phot": 19040, "anska": 19041, "▁Native": 19042, "CCE": 19043, "▁fifty": 19044, "▁erw": 19045, "rh": 19046, "issent": 19047, "}{(": 19048, "▁lanç": 19049, "▁Xcode": 19050, "город": 19051, "cir": 19052, "▁película": 19053, "▁Oscar": 19054, "▁shore": 19055, "▁supplied": 19056, "examples": 19057, "Mess": 19058, "VICE": 19059, "▁exclude": 19060, "▁hen": 19061, "▁губер": 19062, "▁Fragment": 19063, "▁Bitte": 19064, "▁Besides": 19065, "▁hes": 19066, "▁ihrem": 19067, "▁Serge": 19068, "▁artific": 19069, "=\"${": 19070, "лово": 19071, "uteur": 19072, "taire": 19073, "пас": 19074, "▁easiest": 19075, "▁famiglia": 19076, "Normal": 19077, "▁dalle": 19078, "▁nations": 19079, "rp": 19080, "thead": 19081, "▁області": 19082, "▁Democratic": 19083, "▁челове": 19084, "мож": 19085, "▁гер": 19086, "▁smallest": 19087, "▁Publishing": 19088, "▁Ts": 19089, "▁laughed": 19090, "lle": 19091, "▁Amt": 19092, "▁IIS": 19093, "FORM": 19094, "Mag": 19095, "дон": 19096, "▁storia": 19097, "▁organized": 19098, "ční": 19099, "▁ox": 19100, "lingen": 19101, "▁luego": 19102, "cció": 19103, "▁rely": 19104, "▁tussen": 19105, "erten": 19106, "▁honour": 19107, "▁Claude": 19108, "▁Korea": 19109, "▁Metropol": 19110, "Super": 19111, "rien": 19112, "érature": 19113, "attro": 19114, "▁біль": 19115, "▁Herbert": 19116, "▁auteurs": 19117, "▁darauf": 19118, "▁mental": 19119, "▁rang": 19120, "▁són": 19121, "▁Soph": 19122, ")\",": 19123, "Descriptor": 19124, "prepare": 19125, "▁Landkreis": 19126, "HC": 19127, "cross": 19128, "лиза": 19129, "▁Login": 19130, "onen": 19131, "Feature": 19132, "▁museum": 19133, "vek": 19134, "▁Nelson": 19135, "▁rejo": 19136, "▁команди": 19137, "▁summar": 19138, "▁следу": 19139, "ämp": 19140, "▁Gas": 19141, "вом": 19142, "VALUE": 19143, "inge": 19144, "period": 19145, "lassen": 19146, "ával": 19147, "▁altogether": 19148, "umph": 19149, "istro": 19150, "ąż": 19151, "▁Keep": 19152, "▁Marco": 19153, "▁étant": 19154, "▁Dre": 19155, 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19214, "▁Settings": 19215, "!=": 19216, "ematic": 19217, "argv": 19218, "▁Basic": 19219, "▁consideration": 19220, "▁habe": 19221, "-%": 19222, "▁mountains": 19223, "▁peak": 19224, "▁fallen": 19225, "eded": 19226, "logic": 19227, "▁matched": 19228, "▁typing": 19229, ")},": 19230, "▁fancy": 19231, "▁elegant": 19232, "ال": 19233, "▁участ": 19234, "▁Sarah": 19235, "▁Verd": 19236, "▁tego": 19237, "rules": 19238, "▁mounted": 19239, "▁ім": 19240, "еру": 19241, "stoff": 19242, "fahren": 19243, "distance": 19244, "▁License": 19245, "▁LEFT": 19246, "▁wp": 19247, "/{": 19248, "▁amazon": 19249, ">&": 19250, "▁első": 19251, "quarters": 19252, "▁shock": 19253, "nick": 19254, "▁Archite": 19255, "▁Square": 19256, "▁rates": 19257, "iore": 19258, "▁Nat": 19259, "▁Charlot": 19260, "reichen": 19261, "▁variation": 19262, "osis": 19263, "life": 19264, "slide": 19265, "abi": 19266, "uki": 19267, "mysq": 19268, "▁primitive": 19269, "▁universitaire": 19270, "LENG": 19271, "ależ": 19272, "ebook": 19273, "syn": 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21056, "біль": 21057, "cmp": 21058, "ituto": 21059, "zett": 21060, "▁envi": 21061, "▁kot": 21062, "$:": 21063, "upper": 21064, "▁Alberto": 21065, "kb": 21066, "Anal": 21067, "ört": 21068, "▁[-": 21069, "▁führte": 21070, "iah": 21071, "▁Tun": 21072, "▁искус": 21073, "uwe": 21074, "ispecies": 21075, "Pub": 21076, "Sync": 21077, "▁Colombia": 21078, "akers": 21079, "▁Imperial": 21080, "oving": 21081, "▁intelligence": 21082, "▁equipment": 21083, "ein": 21084, "dagger": 21085, "▁Edge": 21086, "▁Республи": 21087, "adratkilometer": 21088, "▁Anto": 21089, "▁charges": 21090, "▁Ocean": 21091, "▁simplify": 21092, "▁miesz": 21093, "running": 21094, "▁Lac": 21095, "genommen": 21096, "▁representative": 21097, "=.": 21098, "▁Pred": 21099, "▁spite": 21100, "ciale": 21101, "▁nave": 21102, "▁extens": 21103, "▁neutral": 21104, "▁которая": 21105, ".::": 21347, "шёл": 21348, "▁principales": 21349, "▁цар": 21350, "▁tied": 21351, "▁alta": 21352, "▁Cit": 21353, "lined": 21354, "major": 21355, "▁punk": 21356, "▁cinco": 21357, "ický": 21358, "▁raggi": 21359, "typen": 21360, "тельство": 21361, "▁conference": 21362, "▁сіль": 21363, "▁heut": 21364, "iš": 21365, "ета": 21366, "velope": 21367, "hbox": 21368, "nown": 21369, "▁zar": 21370, "ktiv": 21371, "ieß": 21372, "▁стре": 21373, "▁EventArgs": 21374, "▁Ira": 21375, "▁VBA": 21376, "▁Santo": 21377, "▁Fach": 21378, "▁FF": 21379, "▁Raymond": 21380, "мец": 21381, "implementation": 21382, "▁brothers": 21383, "▁côté": 21384, "▁controllers": 21385, "▁Cle": 21386, "▁cable": 21387, "▁confer": 21388, "▁{-": 21389, "▁czł": 21390, "▁Filip": 21391, "atorio": 21392, "▁wicht": 21393, "▁beaucoup": 21394, "▁Lit": 21395, "▁sessions": 21396, "▁Success": 21397, "▁routing": 21398, "niu": 21399, "▁Vice": 21400, "▁krit": 21401, "updated": 21402, "▁Invalid": 21403, "▁Mannschaft": 21404, "▁aos": 21405, "▁tudi": 21406, "▁després": 21407, "qua": 21408, "Contains": 21409, "Company": 21410, "▁persona": 21411, "adapter": 21412, "сни": 21413, "▁voj": 21414, "▁escri": 21415, "agt": 21416, "▁ство": 21417, "▁distrito": 21418, "apan": 21419, "▁aspects": 21420, "▁zal": 21421, ")^{\\": 21422, "▁système": 21423, "▁ана": 21424, "iums": 21425, "▁premiers": 21426, "▁поэ": 21427, "▁mère": 21428, "▁Gun": 21429, "aping": 21430, "▁Rain": 21431, "▁igual": 21432, "▁processor": 21433, "')`": 21434, "bling": 21435, "▁mism": 21436, "bráz": 21437, "▁closest": 21438, "▁Reading": 21439, "▁попу": 21440, "cono": 21441, "▁kult": 21442, "▁!!": 21443, "▁Expression": 21444, "▁induction": 21445, "ahren": 21446, "▁cp": 21447, "▁violence": 21448, "ientí": 21449, "cente": 21450, "▁Dob": 21451, "jack": 21452, "song": 21453, "bucket": 21454, "▁deport": 21455, "кими": 21456, "lm": 21457, "▁innoc": 21458, "Changes": 21459, "▁prohib": 21460, "angol": 21461, "iseconds": 21462, "▁пор": 21463, "▁hip": 21464, "▁pů": 21465, "endorf": 21466, "▁scheduled": 21467, "▁Flug": 21468, "acyj": 21469, "▁Films": 21470, "athedral": 21471, "Power": 21472, "ardin": 21473, "kap": 21474, "icken": 21475, "resize": 21476, "eus": 21477, "rr": 21478, "лян": 21479, "▁Hav": 21480, "▁ora": 21481, "FROM": 21482, "лося": 21483, "▁terug": 21484, "▁Width": 21485, "▁accepts": 21486, "бен": 21487, "▁mich": 21488, "▁Czech": 21489, "▁Bedeut": 21490, "▁вид": 21491, "ôme": 21492, "▁Loop": 21493, "spect": 21494, "ük": 21495, "eston": 21496, "▁slot": 21497, "▁została": 21498, "▁Charlotte": 21499, "▁составляет": 21500, "▁Promise": 21501, "▁epo": 21502, "▁diction": 21503, "▁Franklin": 21504, "▁Riv": 21505, "руг": 21506, "cida": 21507, "▁Explorer": 21508, "cookie": 21509, "▁formerly": 21510, "▁municipality": 21511, "▁Stefan": 21512, "lists": 21513, "COMP": 21514, "Len": 21515, "▁Staat": 21516, "▁NBA": 21517, "dens": 21518, "▁oscill": 21519, "!.": 21520, "▁PO": 21521, "ône": 21522, "eses": 21523, "▁националь": 21524, "voor": 21525, "▁копи": 21526, "▁пози": 21527, "ulu": 21528, "Constraint": 21529, "▁своей": 21530, "▁algebraic": 21531, "чня": 21532, "Dict": 21533, "▁appearing": 21534, "▁prav": 21535, "▁Universal": 21536, "Browser": 21537, "▁Singap": 21538, "ennessee": 21539, "]_": 21540, "▁Sof": 21541, "▁Cad": 21542, "ounce": 21543, "▁costs": 21544, "]{\\": 21545, "../../": 21546, "ській": 21547, "ühl": 21548, "iety": 21549, "пр": 21550, "▁interpreted": 21551, "ajn": 21552, "colog": 21553, "YS": 21554, "mans": 21555, "▁metrics": 21556, "▁registr": 21557, "istance": 21558, "▁Поль": 21559, "▁anonymous": 21560, "▁institutions": 21561, "▁zdob": 21562, "prüng": 21563, "▁арти": 21564, "▁estat": 21565, "acci": 21566, "▁academic": 21567, "▁chiesa": 21568, "▁Gian": 21569, "contrib": 21570, "umed": 21571, "▁Gir": 21572, "▁baseball": 21573, "numeric": 21574, "Generator": 21575, "GM": 21576, "▁tiny": 21577, "▁distinction": 21578, "гер": 21579, "▁rust": 21580, "▁FIFA": 21581, "▁Properties": 21582, "^-": 21583, "▁экс": 21584, "▁Stanis": 21585, "▁Ajax": 21586, "escape": 21587, "▁consp": 21588, "▁Chen": 21589, "▁Naval": 21590, "Bit": 21591, "▁bât": 21592, "скими": 21593, "drive": 21594, "▁Round": 21595, "photo": 21596, "▁Level": 21597, "▁geg": 21598, "Tom": 21599, "▁Mobile": 21600, "▁Trop": 21601, "Direction": 21602, "isan": 21603, ")^{-": 21604, "▁Setting": 21605, "▁Probably": 21606, "лья": 21607, "▁assets": 21608, "▁atte": 21609, "▁bulk": 21610, "ést": 21611, "▁wing": 21612, "nius": 21613, "▁wins": 21614, "▁lud": 21615, "ushing": 21616, "▁deven": 21617, "ограф": 21618, "burger": 21619, "▁embar": 21620, "FilterChain": 21621, "▁tum": 21622, "▁öss": 21623, "▁nommé": 21624, "▁pir": 21625, "▁luc": 21626, "dbo": 21627, "agues": 21628, "▁alcan": 21629, "ouwen": 21630, "▁Stanley": 21631, "циали": 21632, "▁grown": 21633, "▁preserved": 21634, "▁solar": 21635, "▁Население": 21636, "▁performances": 21637, "▁Cow": 21638, "▁engineering": 21639, "▁scaling": 21640, "atomic": 21641, "endance": 21642, "▁ace": 21643, "ängen": 21644, "Anim": 21645, "phase": 21646, "zburg": 21647, "Old": 21648, "▁servant": 21649, "▁gemeins": 21650, "▁Observ": 21651, "translate": 21652, "▁covering": 21653, "▁están": 21654, "▁problema": 21655, "▁установ": 21656, "▁llev": 21657, "▁czerw": 21658, "éal": 21659, "mez": 21660, "REE": 21661, "ERR": 21662, "тури": 21663, "segu": 21664, "▁profit": 21665, "▁multiplication": 21666, "kommen": 21667, "▁faut": 21668, "▁candidates": 21669, "▁Uri": 21670, "▁Laura": 21671, "▁sap": 21672, "▁висини": 21673, "▁Between": 21674, "fade": 21675, "▁reserved": 21676, "▁involving": 21677, "▁Mare": 21678, "▁Container": 21679, "▁назна": 21680, "▁DEBUG": 21681, "▁hurt": 21682, "▁Polski": 21683, "▁lux": 21684, "CB": 21685, "wach": 21686, "▁период": 21687, "▁Catherine": 21688, "▁ganz": 21689, "uchte": 21690, "▁consumer": 21691, "▁crossed": 21692, "ordered": 21693, "away": 21694, "techn": 21695, "▁subscri": 21696, "▁shortcut": 21697, "▁производ": 21698, "▁simultaneously": 21699, "▁rating": 21700, "▁Kings": 21701, "▁relationships": 21702, "▁Sex": 21703, "▁Tool": 21704, "agh": 21705, "acters": 21706, "logger": 21707, "homme": 21708, "engers": 21709, "▁Ri": 21710, "earance": 21711, "▁appearances": 21712, "Real": 21713, "▁passe": 21714, "iclopedia": 21715, "чко": 21716, "terre": 21717, "▁Ontario": 21718, "▁переда": 21719, "footer": 21720, "archivi": 21721, "ifiz": 21722, "▁Protest": 21723, "▁LIN": 21724, "unnable": 21725, "▁centuries": 21726, "▁Bayer": 21727, "цію": 21728, "овин": 21729, "▁Andrea": 21730, "selection": 21731, "▁calm": 21732, "▁modification": 21733, "▁shortly": 21734, "inaire": 21735, "▁fusion": 21736, "▁feelings": 21737, "PK": 21738, "▁Roberto": 21739, "гне": 21740, "Shared": 21741, "▁mehrere": 21742, "▁Niem": 21743, "omp": 21744, "Env": 21745, "▁Article": 21746, "▁Pok": 21747, "▁VARCHAR": 21748, "▁dil": 21749, "▁afford": 21750, "▁confront": 21751, "owanie": 21752, "▁ministre": 21753, "adesh": 21754, "▁Poly": 21755, "▁Распо": 21756, "▁Gruppe": 21757, "▁Helen": 21758, "▁cc": 21759, "▁portrait": 21760, "bew": 21761, "▁beta": 21762, "▁Wir": 21763, "▁Audio": 21764, "▁(\\<": 21765, "riority": 21766, "▁nit": 21767, "▁представи": 21768, "▁Vie": 21769, "▁wür": 21770, "▁Hold": 21771, "▁Sad": 21772, "▁Tochter": 21773, "▁oltre": 21774, "▁Activ": 21775, "▁Jason": 21776, "▁wieku": 21777, "▁regards": 21778, "▁taste": 21779, "agnostic": 21780, "лася": 21781, "▁Self": 21782, "▁apr": 21783, "▁Deep": 21784, "scop": 21785, "Activ": 21786, "▁typedef": 21787, "ContentView": 21788, "compiler": 21789, "▁Roth": 21790, "xc": 21791, "зик": 21792, "▁largo": 21793, "▁Rena": 21794, "heiten": 21795, "▁platforms": 21796, "ulla": 21797, "▁glance": 21798, "▁mascul": 21799, "▁mex": 21800, "▁Jorge": 21801, "▁funcion": 21802, "choose": 21803, "▁reviews": 21804, "▁Alban": 21805, "▁Glo": 21806, "▁Species": 21807, "▁Fame": 21808, "▁Roll": 21809, "▁Puerto": 21810, "▁\\)": 21811, "ymnas": 21812, "environ": 21813, "▁iphone": 21814, "▁Wrestling": 21815, "ały": 21816, "▁Indiana": 21817, "Radio": 21818, "VS": 21819, "▁independence": 21820, "тай": 21821, "▁decode": 21822, "White": 21823, "▁journ": 21824, "ículo": 21825, "▁Barb": 21826, "▁Evangel": 21827, "▁Andy": 21828, "▁Welcome": 21829, "▁Device": 21830, "gef": 21831, "▁remembered": 21832, "▁variations": 21833, "▁Adolf": 21834, "itaine": 21835, "▁надморској": 21836, "▁steam": 21837, "▁concerns": 21838, "▁`|": 21839, "▁био": 21840, "тельства": 21841, "▁quattro": 21842, "extend": 21843, "▁trabajo": 21844, "enberg": 21845, "▁scenarios": 21846, "ânt": 21847, "▁kommt": 21848, "▁domestic": 21849, "▁Basketball": 21850, "▁Cooper": 21851, "sock": 21852, "держа": 21853, "={\\": 21854, "▁inici": 21855, "▁Phill": 21856, "▁генерал": 21857, "archiviato": 21858, "ън": 21859, "Rob": 21860, "▁tong": 21861, "▁characteristics": 21862, "▁amaz": 21863, "▁Mode": 21864, "▁inaugur": 21865, "wehr": 21866, "rant": 21867, "ionali": 21868, "▁Mother": 21869, "Ma": 21870, "équ": 21871, "▁Kelly": 21872, "cile": 21873, "▁besteht": 21874, "▁estimates": 21875, "ruguay": 21876, "▁Ans": 21877, "Mad": 21878, "▁нав": 21879, "▁données": 21880, "▁tropical": 21881, "▁Several": 21882, "elter": 21883, "▁Pho": 21884, "kem": 21885, "▁Customer": 21886, "▁складі": 21887, "▁courses": 21888, "Platform": 21889, "navbar": 21890, "learning": 21891, "▁Swedish": 21892, "▁zast": 21893, "▁Lig": 21894, "management": 21895, "▁lod": 21896, "uffle": 21897, "Texture": 21898, "arga": 21899, "átum": 21900, "▁DDR": 21901, "нії": 21902, "▁Société": 21903, "▁domains": 21904, "▁permitted": 21905, "▁externe": 21906, "▁quelque": 21907, "vt": 21908, "yman": 21909, "▁Ward": 21910, "▁agli": 21911, "▁andra": 21912, "Snapshot": 21913, "▁må": 21914, "▁yeah": 21915, "дена": 21916, "ępu": 21917, "askell": 21918, "▁République": 21919, "inject": 21920, "▁';": 21921, "änn": 21922, "▁zelf": 21923, "▁Entwicklung": 21924, "ária": 21925, "onomy": 21926, "▁svil": 21927, "iese": 21928, "▁conser": 21929, "▁nim": 21930, "▁rész": 21931, "▁Итали": 21932, "▁partici": 21933, "▁Lion": 21934, "sr": 21935, "always": 21936, "▁Владимир": 21937, "ческие": 21938, "[,": 21939, "▁Definition": 21940, "nant": 21941, "oem": 21942, "Ids": 21943, "▁вне": 21944, "▁[...]": 21945, "▁направ": 21946, "▁GO": 21947, "▁års": 21948, "▁után": 21949, "▁outros": 21950, "▁región": 21951, "▁Mong": 21952, "▁filme": 21953, "▁triple": 21954, "▁spons": 21955, "Develop": 21956, "▁outcome": 21957, "▁Bible": 21958, "▁имени": 21959, "Canvas": 21960, "пута": 21961, "curr": 21962, "ások": 21963, "){\\": 21964, "ningar": 21965, "`;": 21966, "▁Flash": 21967, ":#": 21968, "must": 21969, "cpu": 21970, "▁formats": 21971, "Har": 21972, "▁episodio": 21973, "▁Rosa": 21974, "▁dès": 21975, "emit": 21976, "riteria": 21977, "Annotation": 21978, "Flag": 21979, "gmail": 21980, "▁Normal": 21981, "ollary": 21982, "▁foss": 21983, "▁concurrent": 21984, "▁crashes": 21985, "▁виде": 21986, "▁Minor": 21987, "▁Sit": 21988, "▁SN": 21989, "▁scar": 21990, "▁femin": 21991, "▁specification": 21992, "soap": 21993, "▁operate": 21994, "▁principalmente": 21995, "▁aust": 21996, "ibile": 21997, "itime": 21998, "лежа": 21999, "iframe": 22000, "▁concepts": 22001, "▁tack": 22002, "▁viss": 22003, "▁carbon": 22004, "tery": 22005, "▁naming": 22006, "▁Orts": 22007, "idente": 22008, "▁Capit": 22009, "▁expr": 22010, "▁насељу": 22011, "▁Selected": 22012, "▁hinter": 22013, "▁iframe": 22014, "▁zb": 22015, "indexPath": 22016, "coll": 22017, "▁wrześ": 22018, "▁acht": 22019, "▁gradually": 22020, "▁чу": 22021, "зей": 22022, "haft": 22023, "▁tran": 22024, "▁laquelle": 22025, "ytics": 22026, "IDE": 22027, "▁pygame": 22028, "▁Package": 22029, "▁className": 22030, "Bal": 22031, "perl": 22032, "тина": 22033, "Occ": 22034, "▁infrastr": 22035, "▁Champions": 22036, "▁classic": 22037, "▁Raw": 22038, "▁partially": 22039, "▁Ted": 22040, "▁stolet": 22041, "rained": 22042, "WHERE": 22043, "▁vall": 22044, "▁Julia": 22045, "zat": 22046, "▁surrounded": 22047, "SEE": 22048, "▁walking": 22049, "Bad": 22050, "FOR": 22051, "contre": 22052, "▁Palest": 22053, "ático": 22054, "▁engineer": 22055, "▁partners": 22056, "▁Jews": 22057, "ilers": 22058, "▁cerem": 22059, "▁interactions": 22060, "acu": 22061, "sty": 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"▁Cry": 22121, "ITION": 22122, "▁född": 22123, "▁cultura": 22124, "▁Rank": 22125, "▁vuel": 22126, "▁zag": 22127, "▁Maxim": 22128, "ону": 22129, "()))": 22130, "Raw": 22131, "kirche": 22132, "▁además": 22133, "▁tie": 22134, "▁Style": 22135, "сков": 22136, "istant": 22137, "olph": 22138, "▁Zür": 22139, "▁Info": 22140, "DOM": 22141, "usc": 22142, "nahm": 22143, "▁Федера": 22144, "▁Fot": 22145, "▁specifying": 22146, "▁titolo": 22147, "▁Boys": 22148, "iech": 22149, "Place": 22150, "▁Hoff": 22151, "▁cached": 22152, "валь": 22153, "isher": 22154, "rolling": 22155, "opens": 22156, "▁hr": 22157, "------": 22158, "▁maggior": 22159, "▁transactions": 22160, "▁criminal": 22161, "▁retre": 22162, "▁Campbell": 22163, ")):": 22164, "▁ned": 22165, "Pager": 22166, "▁Hero": 22167, "(__": 22168, "▁uncle": 22169, "▁reaches": 22170, "arto": 22171, "▁hello": 22172, "Preferences": 22173, "▁затем": 22174, "Named": 22175, "▁readers": 22176, "хі": 22177, "kern": 22178, "▁упо": 22179, "кин": 22180, "▁lav": 22181, 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22240, "eor": 22241, "▁dzie": 22242, "▁mest": 22243, "▁Io": 22244, "CRE": 22245, "зви": 22246, "▁Medic": 22247, "▁nä": 22248, "▁zab": 22249, "▁Slov": 22250, "utlich": 22251, "▁amplit": 22252, "▁Frankreich": 22253, "▁кіль": 22254, "IND": 22255, "execution": 22256, "▁Karriere": 22257, "dostęp": 22258, "▁réal": 22259, "engo": 22260, "▁severe": 22261, "зма": 22262, "▁турни": 22263, "▁Carter": 22264, "▁Robinson": 22265, "getElementsBy": 22266, "▁prototype": 22267, "▁japon": 22268, "führung": 22269, "▁consegu": 22270, "▁studi": 22271, "▁lire": 22272, "▁schließ": 22273, "▁Buff": 22274, "▁redund": 22275, "▁ern": 22276, "▁myster": 22277, "▁proprio": 22278, "ateful": 22279, "▁Parent": 22280, "▁ladies": 22281, "rack": 22282, "тика": 22283, "enburg": 22284, "▁качестве": 22285, "▁EF": 22286, "▁stam": 22287, "▁nueva": 22288, "▁filtered": 22289, "reten": 22290, "▁Ian": 22291, "▁Matthew": 22292, "kih": 22293, "▁ő": 22294, "▁компози": 22295, "▁forever": 22296, "oires": 22297, ":\\\\": 22298, "▁études": 22299, "▁soup": 22300, "▁pleased": 22301, ")}(": 22302, "▁Stop": 22303, "Setter": 22304, "▁Help": 22305, "▁bars": 22306, "▁ERR": 22307, "▁(?": 22308, "▁poetry": 22309, "▁Util": 22310, "AK": 22311, "▁fick": 22312, "▁IM": 22313, "▁proud": 22314, "носи": 22315, "▁muerte": 22316, "▁Palmarès": 22317, "▁Nas": 22318, "щих": 22319, "▁quer": 22320, "▁apenas": 22321, "]['": 22322, "▁Konst": 22323, "пон": 22324, "▁Schiff": 22325, "▁mp": 22326, "▁благо": 22327, "fram": 22328, "▁household": 22329, "▁tract": 22330, "encoding": 22331, "▁undert": 22332, "▁Aug": 22333, "ован": 22334, "▁Arten": 22335, "▁invoked": 22336, "▁dynast": 22337, "▁fleet": 22338, "чество": 22339, "▁Murray": 22340, "▁gut": 22341, "elihood": 22342, "▁SSH": 22343, "ответ": 22344, "▁personally": 22345, "прия": 22346, "▁financi": 22347, "▁Thompson": 22348, "alu": 22349, "identity": 22350, "▁Grab": 22351, "addle": 22352, "Ét": 22353, "▁Tob": 22354, "▁verlor": 22355, "▁Sainte": 22356, "▁dop": 22357, "▁вере": 22358, "___": 22359, "▁promotion": 22360, "▁-=": 22361, "▁отде": 22362, "▁ambigu": 22363, "ORDER": 22364, "▁Communic": 22365, "▁imply": 22366, "oned": 22367, "cluding": 22368, "▁collision": 22369, "▁fragments": 22370, "scription": 22371, "▁'{": 22372, "лях": 22373, "▁hans": 22374, "ус": 22375, "wire": 22376, "namespace": 22377, "▁sword": 22378, "refresh": 22379, "▁kwam": 22380, "zs": 22381, "commons": 22382, "▁cosa": 22383, "▁regime": 22384, "grep": 22385, "▁dioc": 22386, "▁Contact": 22387, "▁estas": 22388, "▁Stewart": 22389, "▁viele": 22390, "това": 22391, "▁Ran": 22392, "annes": 22393, "iday": 22394, "▁snapshot": 22395, "orrow": 22396, "▁zač": 22397, "▁участие": 22398, "▁promised": 22399, "Assembly": 22400, "▁championship": 22401, "▁Define": 22402, "▁eren": 22403, "▁ново": 22404, "▁thinks": 22405, "Age": 22406, "▁gev": 22407, "varchar": 22408, "ività": 22409, "compos": 22410, "▁Mutter": 22411, "CONT": 22412, "armée": 22413, "agnet": 22414, "▁Brow": 22415, ".—": 22416, "▁Television": 22417, "▁Для": 22418, "▁vm": 22419, "▁ordin": 22420, "▁Михай": 22421, "▁aproxim": 22422, "')->": 22423, "▁zoo": 22424, "ippi": 22425, "▁sino": 22426, "▁Québec": 22427, "rages": 22428, "äck": 22429, "eing": 22430, "arlo": 22431, "pios": 22432, "▁Chan": 22433, "▁elli": 22434, "▁incons": 22435, "gestellt": 22436, "ppers": 22437, "Jean": 22438, "anstalt": 22439, "▁Dance": 22440, "▁toen": 22441, "▁decis": 22442, "▁Резу": 22443, "▁officially": 22444, "ätze": 22445, "▁доро": 22446, "▁enumer": 22447, "▁troisième": 22448, "typ": 22449, "offs": 22450, "боль": 22451, "odn": 22452, "▁Zar": 22453, "▁друго": 22454, "quia": 22455, "▁Nicolas": 22456, "пису": 22457, "▁mob": 22458, "paces": 22459, "нього": 22460, "Alg": 22461, "éroï": 22462, "Errors": 22463, "▁гре": 22464, "▁женщи": 22465, "inch": 22466, "▁Korean": 22467, "▁Apost": 22468, "▁Liver": 22469, "▁elementary": 22470, "▁DI": 22471, "виси": 22472, "▁soil": 22473, "▁DLL": 22474, "▁risp": 22475, "▁Shakespe": 22476, "▁Gaussian": 22477, "▁Kurt": 22478, "Vertex": 22479, "ebol": 22480, "organisation": 22481, "ären": 22482, "▁YES": 22483, "CUR": 22484, "▁началь": 22485, "▁постро": 22486, "▁Luigi": 22487, "▁caching": 22488, "preventDefault": 22489, "amd": 22490, "▁Vit": 22491, "subst": 22492, "▁строи": 22493, "▁Campion": 22494, "chr": 22495, "фере": 22496, "▁Список": 22497, "NF": 22498, "▁cím": 22499, "▁hé": 22500, "rebbe": 22501, "ocy": 22502, "below": 22503, "▁bylo": 22504, "▁Уи": 22505, "▁\\({\\": 22506, "▁`:": 22507, "giore": 22508, "San": 22509, "▁Gate": 22510, "▁вс": 22511, "▁olimp": 22512, "▁Matrix": 22513, "▁hearing": 22514, "rii": 22515, "tfrac": 22516, "▁allemand": 22517, "▁Vue": 22518, "лн": 22519, "▁compiling": 22520, "▁Ens": 22521, "▁investigation": 22522, "▁Ax": 22523, "▁chars": 22524, "▁targets": 22525, "▁loud": 22526, "usement": 22527, "▁Nether": 22528, "commerce": 22529, "IGHT": 22530, "ocoa": 22531, "ifecycle": 22532, "▁Leo": 22533, "priv": 22534, "▁goods": 22535, "adamente": 22536, "Austral": 22537, "▁reboot": 22538, "Gest": 22539, "▁representations": 22540, "ceu": 22541, "▁doctrine": 22542, "cers": 22543, "▁Krak": 22544, "▁advoc": 22545, "▁squadra": 22546, "▁arbeitete": 22547, "üst": 22548, "▁pill": 22549, "Answer": 22550, "▁квіт": 22551, "▁Wa": 22552, "umann": 22553, "▁Dynam": 22554, "Famil": 22555, "▁tennis": 22556, "▁Engineering": 22557, "▁circles": 22558, "▁Maryland": 22559, "▁besta": 22560, "▁bases": 22561, "▁znajdu": 22562, "ктора": 22563, "▁arrest": 22564, "лер": 22565, "▁Gia": 22566, "▁remarkable": 22567, "▁могу": 22568, "▁Supreme": 22569, "▁`%": 22570, "dor": 22571, "▁aujourd": 22572, "▁wis": 22573, "WIDTH": 22574, "▁misma": 22575, "▁fluid": 22576, "▁petite": 22577, "▁Tow": 22578, "Registry": 22579, "emed": 22580, "▁Wisconsin": 22581, "▁Racing": 22582, "▁registration": 22583, "/%": 22584, "third": 22585, "▁monuments": 22586, "чей": 22587, "▁jet": 22588, "▁Urban": 22589, "álva": 22590, "▁milieu": 22591, "▁possess": 22592, "▁germ": 22593, "dependencies": 22594, "▁enemies": 22595, "▁samen": 22596, "▁Werner": 22597, "▁hizo": 22598, "▁td": 22599, "▁yesterday": 22600, "▁Ад": 22601, "▁hasn": 22602, "cellation": 22603, "ování": 22604, "lika": 22605, "Week": 22606, "▁Ing": 22607, "▁Email": 22608, "▁mètres": 22609, "▁OCLC": 22610, "▁amongst": 22611, "▁splend": 22612, "fur": 22613, "antics": 22614, "▁XXX": 22615, "▁группы": 22616, "lach": 22617, "▁cousin": 22618, "▁invariant": 22619, "ђу": 22620, "▁Beispiel": 22621, "▁harder": 22622, "▁bell": 22623, "▁orch": 22624, "tb": 22625, "Footnote": 22626, "regon": 22627, "Martin": 22628, "▁incon": 22629, "▁attacked": 22630, "_{-": 22631, "▁Tras": 22632, "party": 22633, "iteit": 22634, "▁saint": 22635, "rások": 22636, "▁containers": 22637, "Mo": 22638, "▁Sn": 22639, "quantity": 22640, "▁ras": 22641, "▁Canal": 22642, "ccion": 22643, "uvo": 22644, "▁idx": 22645, "typename": 22646, "▁Rugby": 22647, "▁Seems": 22648, "▁transmit": 22649, "▁Präsident": 22650, "зне": 22651, "▁Baker": 22652, "inth": 22653, "▁több": 22654, "verein": 22655, "▁especie": 22656, ",(": 22657, "▁téc": 22658, "▁WITH": 22659, "▁unos": 22660, "▁politics": 22661, "createElement": 22662, "▁stats": 22663, "▁Tennessee": 22664, "▁Bedeutung": 22665, "▁Screen": 22666, "▁Straße": 22667, "anze": 22668, "▁partly": 22669, "manuel": 22670, "olation": 22671, "horizontal": 22672, "érieure": 22673, "ampio": 22674, "▁струк": 22675, "Weight": 22676, "Land": 22677, "poly": 22678, "▁Dak": 22679, "▁Assume": 22680, "\".$": 22681, "▁casi": 22682, "▁gross": 22683, "▁entertain": 22684, "▁década": 22685, "'.$": 22686, "encer": 22687, "▁guaranteed": 22688, "]$.": 22689, "лися": 22690, "▁acceptable": 22691, "raise": 22692, "irus": 22693, "weit": 22694, "▁Ана": 22695, "▁hills": 22696, "ipage": 22697, "BIT": 22698, "▁nucle": 22699, "▁utilis": 22700, "CAA": 22701, "ènes": 22702, "▁Schweiz": 22703, "▁AA": 22704, "ninger": 22705, "▁bands": 22706, "▁tender": 22707, "som": 22708, "Warning": 22709, "▁Bischof": 22710, "▁Arc": 22711, "▁Woman": 22712, "▁transmission": 22713, "чни": 22714, "istre": 22715, "BY": 22716, "▁SI": 22717, "▁Пар": 22718, "▁}).": 22719, "▁presenta": 22720, "▁René": 22721, "▁happiness": 22722, "▁Punk": 22723, "cols": 22724, "▁Desde": 22725, "рёх": 22726, "▁мона": 22727, "▁scratch": 22728, "▁tcp": 22729, "êtes": 22730, "itated": 22731, "▁diferen": 22732, "geh": 22733, "nahmen": 22734, "Пе": 22735, "cki": 22736, "▁Teatro": 22737, "▁Remember": 22738, "▁fright": 22739, "▁Yam": 22740, "western": 22741, "leted": 22742, "▁встре": 22743, "▁település": 22744, "зин": 22745, "▁Quant": 22746, "▁supre": 22747, "ája": 22748, "дія": 22749, "▁carrera": 22750, "kret": 22751, "para": 22752, "▁SUM": 22753, "▁pit": 22754, "źdz": 22755, "éo": 22756, "рення": 22757, "▁Chor": 22758, "▁voix": 22759, "▁executive": 22760, "▁allerdings": 22761, "Maybe": 22762, "▁день": 22763, "▁flying": 22764, "▁parliament": 22765, "ждан": 22766, "▁fram": 22767, "▁жовт": 22768, "▁ugly": 22769, "▁буду": 22770, "igny": 22771, "\\|_{": 22772, "▁bitter": 22773, "sce": 22774, "▁pole": 22775, 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"▁муніципалі": 22835, "▁памя": 22836, "estaur": 22837, "▁Josh": 22838, "▁Fritz": 22839, "DBC": 22840, "дён": 22841, "posa": 22842, "▁golden": 22843, "▁pc": 22844, "▁comte": 22845, "▁Ziel": 22846, "▁présente": 22847, "marks": 22848, "igneur": 22849, "▁Drive": 22850, "▁neglect": 22851, "▁rozp": 22852, "▁Five": 22853, "spaces": 22854, "▁Medi": 22855, "▁existed": 22856, "▁była": 22857, "джи": 22858, "▁frente": 22859, "тник": 22860, "odd": 22861, "▁answering": 22862, "bian": 22863, "▁Eugen": 22864, "▁Publications": 22865, "▁Dia": 22866, "lá": 22867, "▁'_": 22868, "▁recuper": 22869, "ому": 22870, "▁Append": 22871, "obar": 22872, "▁employees": 22873, "▁compens": 22874, "emetery": 22875, "▁элект": 22876, "MON": 22877, "olin": 22878, "▁historic": 22879, "his": 22880, "ąd": 22881, "nm": 22882, "▁Goth": 22883, "▁stress": 22884, "▁partecip": 22885, "▁Aw": 22886, "▁sar": 22887, "▁hu": 22888, "▁matplotlib": 22889, "▁Myst": 22890, "();`": 22891, "schein": 22892, "Longrightarrow": 22893, "▁ря": 22894, "▁Isra": 22895, "[^": 22896, "nou": 22897, "▁synd": 22898, "working": 22899, "▁Nation": 22900, "▁Pent": 22901, "▁klass": 22902, "▁applicable": 22903, "▁Diam": 22904, "▁brasile": 22905, "▁pac": 22906, "▁Height": 22907, "Put": 22908, "▁intro": 22909, "▁unusual": 22910, "nas": 22911, "▁Gebäude": 22912, "▁beam": 22913, "▁Rect": 22914, "▁Primera": 22915, "▁haut": 22916, "▁trait": 22917, "prüft": 22918, "inación": 22919, "▁configurations": 22920, "▁gilt": 22921, "▁territoire": 22922, "hez": 22923, "▁alte": 22924, "relative": 22925, "Excel": 22926, "▁Wright": 22927, "GV": 22928, "поли": 22929, "Quant": 22930, "▁gauge": 22931, "▁multiply": 22932, "ASS": 22933, "ственно": 22934, "ану": 22935, "▁jeden": 22936, "▁literary": 22937, "▁Dro": 22938, "▁advise": 22939, "itzen": 22940, "▁disag": 22941, "website": 22942, "▁дія": 22943, "▁observer": 22944, "▁január": 22945, "vě": 22946, "kup": 22947, "▁Ses": 22948, "▁wojew": 22949, "▁stages": 22950, "▁времени": 22951, "łuż": 22952, "нос": 22953, 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"▁Quart": 24664, "Mont": 24665, "vb": 24666, "tick": 24667, "WD": 24668, "mine": 24669, "▁modific": 24670, "notification": 24671, "▁denn": 24672, "▁algo": 24673, "▁Spo": 24674, "▁mistrzost": 24675, "/:": 24676, "▁apresent": 24677, "▁прод": 24678, "Volume": 24679, "ską": 24680, "protected": 24681, "▁Turkish": 24682, "azy": 24683, "▁pouv": 24684, "▁período": 24685, "skog": 24686, "▁entropy": 24687, "zed": 24688, "тори": 24689, "▁lij": 24690, "boards": 24691, "▁стату": 24692, "Bool": 24693, "▁polity": 24694, "@\",": 24695, "▁рік": 24696, "née": 24697, "▁Zug": 24698, "▁Uniti": 24699, "émet": 24700, "atience": 24701, "dimen": 24702, "▁Steven": 24703, "Ha": 24704, "ACTION": 24705, "▁wand": 24706, "▁Navar": 24707, "▁січня": 24708, "Watch": 24709, "▁Stuart": 24710, "▁zde": 24711, "▁контро": 24712, "dataset": 24713, "yó": 24714, "▁Bush": 24715, "▁себя": 24716, "▁worthy": 24717, "▁Ble": 24718, "▁propor": 24719, "▁Village": 24720, "▁ry": 24721, "▁voit": 24722, "▁копия": 24723, "▁zp": 24724, 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"=\"": 25230, "Orientation": 25231, "cid": 25232, "Cart": 25233, "▁murm": 25234, "▁assez": 25235, "▁linking": 25236, "building": 25237, "▁reconna": 25238, "▁shook": 25239, "managed": 25240, "landa": 25241, "▁León": 25242, "▁création": 25243, "дой": 25244, "ocity": 25245, "▁wij": 25246, "▁wieś": 25247, "xtart": 25248, "▁Move": 25249, "lungen": 25250, "ствует": 25251, "orney": 25252, "optional": 25253, "macro": 25254, "Condition": 25255, "▁squares": 25256, "▁mistaken": 25257, "ánt": 25258, "▁Ris": 25259, "▁sentences": 25260, "erea": 25261, "▁mij": 25262, "Und": 25263, "▁nombr": 25264, "zA": 25265, "▁Independent": 25266, "▁preview": 25267, "imas": 25268, "▁males": 25269, "inental": 25270, "Thank": 25271, "▁popol": 25272, "▁pover": 25273, "▁grasp": 25274, "▁imped": 25275, "▁campionato": 25276, "▁Wei": 25277, "▁titled": 25278, "▁Además": 25279, "▁Password": 25280, "▁Pam": 25281, "UILD": 25282, "▁липня": 25283, "werb": 25284, "................": 25285, "▁Río": 25286, "▁teeth": 25287, "bp": 25288, "▁SW": 25289, "ulaire": 25290, "▁seized": 25291, "▁Stef": 25292, "úl": 25293, "▁viz": 25294, "iony": 25295, "▁junt": 25296, "▁která": 25297, "▁września": 25298, "<>": 25299, "▁surg": 25300, "▁tutte": 25301, "▁Hob": 25302, "повід": 25303, "▁wohl": 25304, "▁trag": 25305, "▁Crown": 25306, "▁trova": 25307, "стову": 25308, "▁Vienna": 25309, "esehen": 25310, "▁metropol": 25311, "▁reflected": 25312, "тета": 25313, "▁traduc": 25314, "▁Bast": 25315, "▁erschien": 25316, "woord": 25317, "()\"": 25318, "talet": 25319, "▁roads": 25320, "ведения": 25321, "ührung": 25322, "▁cogn": 25323, "▁Valle": 25324, "▁landing": 25325, "▁Regex": 25326, "▁Iowa": 25327, "dział": 25328, "▁erreichte": 25329, "aum": 25330, "▁founder": 25331, "apolis": 25332, "Compiler": 25333, "▁kop": 25334, "▁marc": 25335, "▁територ": 25336, "))`": 25337, "▁lei": 25338, "geon": 25339, "▁weapons": 25340, "▁horn": 25341, "▁elif": 25342, "▁Capital": 25343, "će": 25344, "▁forall": 25345, "▁эта": 25346, "preview": 25347, "▁DNA": 25348, "▁sid": 25349, "orch": 25350, "▁Ras": 25351, "▁arab": 25352, "Best": 25353, "▁счита": 25354, "▁López": 25355, "ança": 25356, "▁funkc": 25357, "▁tienen": 25358, ";&": 25359, "museum": 25360, "▁Err": 25361, "▁resort": 25362, "Nov": 25363, "▁kal": 25364, "MW": 25365, "шь": 25366, "anchor": 25367, "▁роман": 25368, "leading": 25369, "▁manten": 25370, "▁Silva": 25371, "dade": 25372, "▁designated": 25373, "▁revista": 25374, "Oct": 25375, "percent": 25376, "▁уні": 25377, "identifier": 25378, "mass": 25379, "@@": 25380, "ulsion": 25381, "germeister": 25382, "▁predicted": 25383, "▁сви": 25384, "жной": 25385, "▁Ergeb": 25386, "▁cust": 25387, "▁removes": 25388, "charg": 25389, "пример": 25390, "▁forming": 25391, "asma": 25392, "stdout": 25393, "Fun": 25394, "yme": 25395, "tered": 25396, "ursive": 25397, "ighed": 25398, "▁след": 25399, "verband": 25400, "▁LOG": 25401, "rams": 25402, "éon": 25403, "endra": 25404, "▁Bereich": 25405, "▁temporal": 25406, "▁langue": 25407, "▁Inn": 25408, "▁moreover": 25409, "▁tutorials": 25410, "Middle": 25411, "▁советский": 25412, "▁maintenance": 25413, "asures": 25414, "▁válto": 25415, "BASE": 25416, "▁disappear": 25417, "ския": 25418, "▁conocido": 25419, "▁Нау": 25420, "▁Libert": 25421, "▁Harold": 25422, "▁lifetime": 25423, "▁Tür": 25424, "▁zawod": 25425, "omic": 25426, "▁Retrieved": 25427, "architecture": 25428, "čka": 25429, "iformes": 25430, "development": 25431, "ordnung": 25432, "Inf": 25433, "leben": 25434, "▁Stars": 25435, "signal": 25436, "▁grammar": 25437, "▁corso": 25438, "▁Wagner": 25439, "▁geht": 25440, "▁royale": 25441, "warn": 25442, "umbled": 25443, "▁instit": 25444, "▁Ши": 25445, "hh": 25446, "▁refuge": 25447, "▁favorite": 25448, "ierto": 25449, "▁condado": 25450, "▁Ther": 25451, "▁человека": 25452, "▁Food": 25453, "▁seizo": 25454, "▁Initialize": 25455, "▁connu": 25456, "▁overlap": 25457, "▁Emil": 25458, "▁Martí": 25459, "▁жовтня": 25460, "erva": 25461, "▁boats": 25462, "ações": 25463, "▁derrot": 25464, "▁malloc": 25465, "▁conject": 25466, "jk": 25467, "▁sare": 25468, "лемен": 25469, "▁sums": 25470, "Authorization": 25471, "▁Kun": 25472, "]$,": 25473, "gemeinde": 25474, "odot": 25475, "defin": 25476, "▁emission": 25477, "▁Крас": 25478, "▁appart": 25479, "▁stopping": 25480, "▁Сред": 25481, "▁conjug": 25482, "▁insight": 25483, "▁Broadcast": 25484, "▁PMID": 25485, "▁advantages": 25486, "enes": 25487, "▁residence": 25488, "ljen": 25489, "isseur": 25490, "▁pubblicato": 25491, "▁GitHub": 25492, "▁Peru": 25493, "▁galaxies": 25494, "▁annotations": 25495, "gas": 25496, "▁répond": 25497, "Js": 25498, "▁independently": 25499, "NP": 25500, "▁inqu": 25501, "▁grounds": 25502, "Components": 25503, "▁anten": 25504, "▁вз": 25505, "▁hos": 25506, "▁sint": 25507, "▁hiding": 25508, "▁województ": 25509, "Messages": 25510, "▁показа": 25511, "===": 25512, "▁Abstract": 25513, "▁läng": 25514, "▁Formula": 25515, "dawn": 25516, "▁designs": 25517, "Img": 25518, "▁Portuguese": 25519, "▁incluy": 25520, "avigator": 25521, "▁Brothers": 25522, "▁continent": 25523, "▁evidently": 25524, "race": 25525, "цького": 25526, "▁reck": 25527, "▁серпня": 25528, "▁Grey": 25529, "▁appeal": 25530, "▁unlike": 25531, "▁powershell": 25532, "▁racc": 25533, "fers": 25534, "▁burning": 25535, "fasst": 25536, "installed": 25537, "▁Give": 25538, "▁colonial": 25539, "▁€": 25540, "▁Rö": 25541, "▁christ": 25542, "nehm": 25543, "там": 25544, "▁corpo": 25545, "▁convirti": 25546, "yter": 25547, "Sym": 25548, "▁Greece": 25549, "▁moth": 25550, "▁Johan": 25551, "▁monarch": 25552, "▁Download": 25553, "▁craft": 25554, "už": 25555, "▁Luke": 25556, "▁suffix": 25557, "\\/": 25558, "Have": 25559, "▁карь": 25560, "▁comfortable": 25561, "▁tips": 25562, "▁Після": 25563, "▁броја": 25564, "▁информа": 25565, "MQ": 25566, "бран": 25567, "▁tx": 25568, "▁slaves": 25569, "▁firewall": 25570, "▁Forces": 25571, "atif": 25572, "▁Quellen": 25573, "▁théâtre": 25574, "льных": 25575, "▁расположен": 25576, "▁Details": 25577, "ką": 25578, "▁longitud": 25579, "INST": 25580, "▁naval": 25581, "Fernseh": 25582, "essel": 25583, "Grad": 25584, "▁belang": 25585, "▁aggi": 25586, "ZygoteInit": 25587, "łów": 25588, "▁Sug": 25589, "sil": 25590, "▁exterior": 25591, "щі": 25592, "ORD": 25593, "enser": 25594, "▁rapide": 25595, "▁темпера": 25596, "incie": 25597, "Si": 25598, "avam": 25599, "arded": 25600, "▁Added": 25601, "Endpoint": 25602, "hardt": 25603, "стран": 25604, "▁estilo": 25605, "▁Haz": 25606, "▁musste": 25607, "uo": 25608, "iii": 25609, "▁ří": 25610, "anzen": 25611, "жений": 25612, "aha": 25613, "ARNING": 25614, "▁renov": 25615, "▁divine": 25616, "▁convinced": 25617, "▁humans": 25618, "▁departure": 25619, "▁Mediter": 25620, "qa": 25621, "▁possessed": 25622, "▁церкви": 25623, "giv": 25624, "▁свої": 25625, "▁Ortste": 25626, "Rich": 25627, "puis": 25628, "increment": 25629, "▁Hannover": 25630, "▁ucz": 25631, "Done": 25632, "▁alguns": 25633, "FIX": 25634, "▁Heritage": 25635, "removeClass": 25636, "фер": 25637, "▁abc": 25638, "Dr": 25639, "▁семей": 25640, "{:": 25641, "▁seule": 25642, "zeichnungen": 25643, "addy": 25644, "▁París": 25645, "üsseld": 25646, "▁reception": 25647, "folio": 25648, "tiny": 25649, "▁recensement": 25650, "▁Nur": 25651, "▁kier": 25652, "▁gmina": 25653, "staat": 25654, "ándose": 25655, "ческая": 25656, "▁speaker": 25657, "▁exponential": 25658, "▁Dieu": 25659, "▁приз": 25660, "▁Rafael": 25661, "▁ggplot": 25662, "▁Template": 25663, "oure": 25664, "▁Inner": 25665, "ogne": 25666, "igare": 25667, "▁Arte": 25668, "▁Cov": 25669, "▁aufgrund": 25670, "▁Бы": 25671, "▁ceremony": 25672, "▁Spart": 25673, "jective": 25674, "yi": 25675, "▁inizi": 25676, "▁latin": 25677, "▁Nevertheless": 25678, "▁Done": 25679, "тря": 25680, "▁Arr": 25681, "season": 25682, "▁складу": 25683, "▁podczas": 25684, "▁Beautiful": 25685, "▁Weltkrieg": 25686, "▁зо": 25687, "▁overcome": 25688, "▁Praha": 25689, "▁району": 25690, "▁subscription": 25691, "igent": 25692, "▁пока": 25693, "latex": 25694, "▁beach": 25695, "▁роках": 25696, "geg": 25697, "▁probl": 25698, "arguments": 25699, "▁organizations": 25700, "▁Nan": 25701, "▁stones": 25702, "▁Hunter": 25703, "▁regularly": 25704, "шого": 25705, "▁flexible": 25706, "opts": 25707, "ář": 25708, "witz": 25709, "▁')": 25710, "PASS": 25711, "▁kraj": 25712, "▁fake": 25713, "heits": 25714, "osph": 25715, "parseInt": 25716, "FALSE": 25717, "▁profess": 25718, "people": 25719, "▁precip": 25720, "dirname": 25721, "▁perpet": 25722, "▁Updated": 25723, "rayed": 25724, "▁provoc": 25725, "▁травня": 25726, "▁categorie": 25727, "▁тео": 25728, "сну": 25729, "otr": 25730, "▁Верхов": 25731, "▁compét": 25732, "Cost": 25733, "▁wider": 25734, "▁Obviously": 25735, "писан": 25736, "▁настоя": 25737, "▁seeking": 25738, "()),": 25739, "▁équipe": 25740, "▁commits": 25741, "▁Svens": 25742, "ябре": 25743, "atern": 25744, "▁heter": 25745, "▁Bootstrap": 25746, "éné": 25747, "▁derivatives": 25748, "▁Detroit": 25749, "▁provincial": 25750, "onomie": 25751, "EB": 25752, "▁cuer": 25753, "▁относи": 25754, "▁ней": 25755, ")».": 25756, "▁Ciudad": 25757, "IAL": 25758, "zyst": 25759, ")\")": 25760, "▁Alc": 25761, "blogs": 25762, "▁parmi": 25763, "▁Albums": 25764, "▁Boliv": 25765, "▁clés": 25766, "Products": 25767, "uerdo": 25768, "▁gelang": 25769, "znik": 25770, "hagen": 25771, "anonymous": 25772, "▁svg": 25773, "▁Conseil": 25774, "▁Ari": 25775, "coli": 25776, "▁czy": 25777, "▁CV": 25778, "▁ford": 25779, "▁Außer": 25780, "▁CI": 25781, "▁tempt": 25782, "▁Organisation": 25783, "áš": 25784, "▁cycles": 25785, "▁geslacht": 25786, "▁людей": 25787, "ými": 25788, "▁Spieler": 25789, "efe": 25790, "▁Marvel": 25791, "▁portal": 25792, "▁Серг": 25793, "▁grado": 25794, "▁handlers": 25795, "▁Interface": 25796, "AME": 25797, "▁seriously": 25798, "▁Binding": 25799, "▁Rang": 25800, "▁nada": 25801, "oce": 25802, "▁integra": 25803, "ocracy": 25804, "▁альбо": 25805, "▁stability": 25806, "Uns": 25807, "▁veter": 25808, "------+": 25809, "▁serait": 25810, "▁omitted": 25811, "▁uncertainty": 25812, "onian": 25813, "▁resto": 25814, "▁желез": 25815, "▁одной": 25816, "▁Bevölkerung": 25817, "▁Kraft": 25818, "стр": 25819, "▁Moscow": 25820, "lane": 25821, "arab": 25822, "▁spole": 25823, "▁своего": 25824, "?:": 25825, "START": 25826, "▁интер": 25827, "▁sympt": 25828, "▁Lorenzo": 25829, "▁ejec": 25830, "▁prosper": 25831, "DAT": 25832, "лимпий": 25833, "▁shapes": 25834, "valueOf": 25835, "▁associate": 25836, "▁Medien": 25837, "ENV": 25838, "▁сре": 25839, "▁државе": 25840, "▁theories": 25841, "heb": 25842, "▁Wayne": 25843, "▁StringBuilder": 25844, "iwers": 25845, "▁Maps": 25846, "Phys": 25847, "\\}\\": 25848, "▁Parte": 25849, "▁Hudson": 25850, "лон": 25851, "Lng": 25852, "▁ры": 25853, "стей": 25854, "lau": 25855, "ancer": 25856, "▁Coppa": 25857, "▁війсь": 25858, "▁ucc": 25859, "▁Pattern": 25860, "▁garbage": 25861, "▁González": 25862, "▁Encyclop": 25863, "etten": 25864, "External": 25865, "REF": 25866, ">;": 25867, "lijke": 25868, "▁intersect": 25869, "▁Unless": 25870, "▁deeper": 25871, "▁жі": 25872, "dent": 25873, "lef": 25874, "▁chanson": 25875, "▁diffus": 25876, "▁primi": 25877, "▁Wieder": 25878, "▁aws": 25879, "owana": 25880, "▁sociale": 25881, "ikk": 25882, "льной": 25883, "▁divisions": 25884, "лосо": 25885, "▁Claud": 25886, "▁Ya": 25887, "▁voce": 25888, "▁Branch": 25889, "▁fitted": 25890, "orr": 25891, "ôtel": 25892, "stroke": 25893, "listener": 25894, "iman": 25895, "восто": 25896, "▁Shah": 25897, "Introduction": 25898, "▁newline": 25899, "▁tile": 25900, "']))": 25901, "▁travaux": 25902, "CONFIG": 25903, "▁quadratic": 25904, "onneur": 25905, "▁Giorg": 25906, "▁identific": 25907, "éricaine": 25908, "▁UIView": 25909, "▁Liberal": 25910, "▁Koch": 25911, "▁Berliner": 25912, "▁notifications": 25913, "▁Susan": 25914, "▁cadre": 25915, "▁Kloster": 25916, "▁examine": 25917, "▁един": 25918, "▁UNION": 25919, "▁alten": 25920, "▁finit": 25921, "▁pedig": 25922, "cyk": 25923, "▁mouvement": 25924, "IOS": 25925, "▁британ": 25926, "▁bout": 25927, "▁автор": 25928, "ництво": 25929, "ето": 25930, "lera": 25931, 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25992, "▁waited": 25993, "▁Tomatoes": 25994, "▁fas": 25995, "verte": 25996, "▁succession": 25997, "сор": 25998, "▁sols": 25999, "▁Render": 26000, "▁leadership": 26001, "▁significance": 26002, "▁gauche": 26003, "cano": 26004, "▁Pie": 26005, "ensoort": 26006, "▁cambio": 26007, "▁уз": 26008, "▁endeav": 26009, "Completed": 26010, "▁Архивная": 26011, "jd": 26012, "órico": 26013, "▁churches": 26014, "▁animate": 26015, "SG": 26016, "compute": 26017, "▁uniformly": 26018, "INIT": 26019, "lles": 26020, "HttpRequest": 26021, "Ко": 26022, "Diff": 26023, "▁sah": 26024, "airo": 26025, "maybe": 26026, "UTE": 26027, "▁Dow": 26028, "human": 26029, "▁aurait": 26030, "dark": 26031, "▁repair": 26032, "▁ner": 26033, "▁Dabei": 26034, "▁Botan": 26035, "Original": 26036, "ază": 26037, "▁NAT": 26038, "imper": 26039, "▁Youth": 26040, "thes": 26041, "▁округа": 26042, "▁Flo": 26043, "▁breakfast": 26044, "urls": 26045, "▁übernahm": 26046, "ários": 26047, "▁Orange": 26048, "▁Affairs": 26049, "ske": 26050, "▁notify": 26051, "imoine": 26052, "▁Arena": 26053, "▁liberal": 26054, "▁obec": 26055, "ifa": 26056, "guez": 26057, "iono": 26058, "ператор": 26059, "▁retained": 26060, "failed": 26061, "bine": 26062, "тных": 26063, "▁CGRect": 26064, "camera": 26065, "idenote": 26066, "KB": 26067, "▁lights": 26068, "▁Pictures": 26069, "▁Squadron": 26070, "▁Volk": 26071, "▁burg": 26072, ",]": 26073, "Gi": 26074, "êque": 26075, "makeText": 26076, "▁everybody": 26077, "▁Hyper": 26078, "▁Deux": 26079, "▁glory": 26080, "presentation": 26081, "onica": 26082, "▁frère": 26083, "aget": 26084, "▁hints": 26085, "▁tunnel": 26086, "▁Ej": 26087, "ális": 26088, "▁Viv": 26089, "ственных": 26090, "▁caps": 26091, "PART": 26092, "oci": 26093, "▁prices": 26094, "currency": 26095, "▁achter": 26096, "romagnet": 26097, "gender": 26098, "▁suis": 26099, "versions": 26100, "▁Training": 26101, "inside": 26102, "ege": 26103, "▁totale": 26104, "▁Daar": 26105, "▁grudnia": 26106, "▁Ier": 26107, "▁occasions": 26108, "▁kde": 26109, "▁tensorflow": 26110, "▁ór": 26111, "Methods": 26112, "▁looping": 26113, "▁directeur": 26114, "kę": 26115, "▁isomorphism": 26116, "▁João": 26117, "▁aligned": 26118, "онов": 26119, "urger": 26120, "▁nova": 26121, "morrow": 26122, "altern": 26123, "HD": 26124, "▁marqu": 26125, "ativas": 26126, "ggreg": 26127, "▁ancien": 26128, "nit": 26129, "▁secured": 26130, "mier": 26131, "▁Ole": 26132, "▁инте": 26133, "▁minus": 26134, "▁clearer": 26135, "▁nello": 26136, "▁információk": 26137, "▁propre": 26138, "{.": 26139, "ilog": 26140, "▁Quick": 26141, "▁accus": 26142, "employee": 26143, "▁зу": 26144, "цький": 26145, "фіцій": 26146, "▁публи": 26147, "▁bent": 26148, "▁позво": 26149, "▁Пор": 26150, "ází": 26151, "ánico": 26152, "emptyset": 26153, "▁surtout": 26154, "reno": 26155, "unya": 26156, "▁уез": 26157, "▁Millionen": 26158, "▁listopada": 26159, "▁Maine": 26160, "▁grupos": 26161, "▁Storage": 26162, "▁apple": 26163, "▁Lö": 26164, "oused": 26165, "дро": 26166, "sci": 26167, "▁hibernate": 26168, "dog": 26169, "▁восто": 26170, "▁intensity": 26171, "legend": 26172, "▁Wille": 26173, "▁szerint": 26174, "gesellschaft": 26175, "▁Living": 26176, "allo": 26177, "▁Split": 26178, "dru": 26179, "need": 26180, "▁Джон": 26181, "▁Swiss": 26182, "▁spraw": 26183, "▁beho": 26184, "▁fotograf": 26185, "▁rencontre": 26186, "▁kis": 26187, "▁signing": 26188, "akult": 26189, "▁indexing": 26190, "apor": 26191, "▁conception": 26192, "aggreg": 26193, "▁Савез": 26194, "▁affair": 26195, "ění": 26196, "August": 26197, "▁секре": 26198, "▁mieszkań": 26199, "UIImage": 26200, "▁bishop": 26201, "▁servants": 26202, "▁trail": 26203, "digit": 26204, "▁joins": 26205, "▁Near": 26206, "öffentlich": 26207, ">{": 26208, "▁skład": 26209, "geführt": 26210, "▁Holz": 26211, "▁Militär": 26212, "achi": 26213, "Upper": 26214, "pine": 26215, "utzt": 26216, "▁nuova": 26217, "ibration": 26218, "▁Bien": 26219, "▁первый": 26220, "▁Creating": 26221, "Once": 26222, "▁einmal": 26223, "▁geometric": 26224, "stvo": 26225, "▁kW": 26226, "▁decomposition": 26227, "▁comedy": 26228, "▁activation": 26229, "▁angry": 26230, "illeurs": 26231, "▁instantly": 26232, "▁suggesting": 26233, "▁Clay": 26234, "cot": 26235, "▁Gén": 26236, "($(": 26237, "unwrap": 26238, "▁lifted": 26239, "▁Kit": 26240, "▁linea": 26241, "ок": 26242, "hart": 26243, "->_": 26244, "▁nuit": 26245, "▁Issue": 26246, "лии": 26247, "▁röm": 26248, "Tasks": 26249, "▁Sr": 26250, "▁seis": 26251, "asia": 26252, "}}$.": 26253, ":{": 26254, "controls": 26255, "▁Stim": 26256, "▁Recht": 26257, "ociación": 26258, "▁Natal": 26259, "▁Philippines": 26260, "ulen": 26261, "Fixed": 26262, "▁switched": 26263, "Zip": 26264, "ospel": 26265, "▁начале": 26266, "▁Blan": 26267, "urst": 26268, "▁autour": 26269, "Ca": 26270, "▁latitude": 26271, "▁Frei": 26272, "▁Musée": 26273, "▁Kurz": 26274, "▁região": 26275, "swap": 26276, "▁hate": 26277, "▁modifications": 26278, "▁Ком": 26279, "▁Antoine": 26280, "uga": 26281, "RECT": 26282, "éter": 26283, "GROUP": 26284, "▁sacrific": 26285, "▁Whe": 26286, "▁Stevens": 26287, "ologische": 26288, "Summary": 26289, "obs": 26290, "hnen": 26291, "<%=": 26292, "dienst": 26293, "remark": 26294, "▁veröffentlicht": 26295, "ел": 26296, "▁Mock": 26297, "▁Льв": 26298, "▁três": 26299, "gb": 26300, "▁celebrated": 26301, "▁Eb": 26302, "▁costa": 26303, "▁Geographic": 26304, "▁attachment": 26305, "mannschaft": 26306, "▁dependence": 26307, "��": 26308, "▁attitude": 26309, "etal": 26310, "vic": 26311, "baut": 26312, "▁дов": 26313, "▁interven": 26314, "▁Gü": 26315, "ónica": 26316, "▁Pon": 26317, "▁disponible": 26318, "▁Feb": 26319, "▁worship": 26320, "▁Specifically": 26321, "Hy": 26322, "iju": 26323, "▁cb": 26324, "▁spac": 26325, "leveland": 26326, "▁localidad": 26327, "▁preceding": 26328, "▁Hessen": 26329, "xp": 26330, "▁Wein": 26331, "▁Româ": 26332, "▁giorno": 26333, "▁квітня": 26334, "llaços": 26335, "▁Academia": 26336, "▁kül": 26337, "▁Års": 26338, "▁нај": 26339, "uclide": 26340, "Internet": 26341, "orton": 26342, "▁corn": 26343, "ями": 26344, "▁\"*": 26345, "▁Felix": 26346, "apat": 26347, "▁свои": 26348, "MIT": 26349, "made": 26350, "▁locomot": 26351, "хода": 26352, "FP": 26353, "▁pm": 26354, ".*;": 26355, "▁Hamm": 26356, "`}": 26357, "LayoutInflater": 26358, "==\"": 26359, "▁Eur": 26360, "▁dogs": 26361, "жении": 26362, "▁azon": 26363, "▁emulator": 26364, "▁ricon": 26365, "beeld": 26366, "▁ну": 26367, "▁approximate": 26368, "LM": 26369, "▁Bond": 26370, "▁enh": 26371, "ędz": 26372, "▁solit": 26373, "RelativeLayout": 26374, "eteor": 26375, "amentos": 26376, "▁indirect": 26377, "iből": 26378, "▁gros": 26379, "▁Originals": 26380, "commands": 26381, "Export": 26382, "▁Avec": 26383, "▁solemn": 26384, "▁correction": 26385, "▁проводи": 26386, "▁Mosk": 26387, "▁подо": 26388, "▁gebied": 26389, "▁następ": 26390, "▁Driver": 26391, "▁Ook": 26392, "▁Vec": 26393, "▁lungo": 26394, "ficos": 26395, "▁svol": 26396, "▁kid": 26397, "nja": 26398, "▁Hr": 26399, "▁поддер": 26400, "▁visibility": 26401, "▁Méd": 26402, "▁cpu": 26403, "discussion": 26404, "Asset": 26405, "▁defense": 26406, "▁Anyone": 26407, "▁Justin": 26408, "iszt": 26409, "▁Collins": 26410, "▁Valent": 26411, "▁Pale": 26412, "▁fuel": 26413, "▁nose": 26414, "ríguez": 26415, "▁Schles": 26416, "▁Malays": 26417, "▁commut": 26418, "dro": 26419, "uing": 26420, "▁Rico": 26421, "▁Emma": 26422, "orp": 26423, "▁Kirk": 26424, "▁Quando": 26425, "▁Neue": 26426, "▁demande": 26427, "▁Cover": 26428, "▁rescue": 26429, "▁gewählt": 26430, "▁Calendar": 26431, "▁Madonna": 26432, "WP": 26433, "oshi": 26434, "▁Maven": 26435, "▁belle": 26436, "▁wx": 26437, "▁sugar": 26438, "▁Betrieb": 26439, "▁equilibrium": 26440, "EAR": 26441, "▁texts": 26442, "слов": 26443, "▁czerwca": 26444, "▁Düsseld": 26445, "▁ELSE": 26446, "▁amery": 26447, "▁ani": 26448, "▁obey": 26449, "▁Nell": 26450, "▁inne": 26451, "▁тро": 26452, "FD": 26453, "cco": 26454, "▁Zob": 26455, "alette": 26456, "▁május": 26457, "ected": 26458, "▁Turkey": 26459, "▁Whether": 26460, "qi": 26461, "▁што": 26462, "▁headquarters": 26463, "endi": 26464, "arus": 26465, "opus": 26466, "▁золо": 26467, "▁destru": 26468, "▁Lok": 26469, "▁satisfaction": 26470, "()\r": 26471, "▁Тер": 26472, "Jose": 26473, "▁conquer": 26474, "▁Effect": 26475, "LayoutParams": 26476, "iez": 26477, "▁externs": 26478, "▁gegenüber": 26479, "▁ESP": 26480, "olta": 26481, "processor": 26482, "▁Kult": 26483, "▁Atlanta": 26484, "▁tier": 26485, "Operator": 26486, "▁диа": 26487, "▁пись": 26488, "▁groß": 26489, "▁hearts": 26490, "▁millimeter": 26491, "although": 26492, "alles": 26493, "▁Magic": 26494, "training": 26495, "oline": 26496, "▁органі": 26497, ">\\<^": 26498, "ціаль": 26499, "exports": 26500, "Workbook": 26501, "▁вересня": 26502, "▁teles": 26503, "▁economy": 26504, "▁trap": 26505, "▁refuse": 26506, "▁stranger": 26507, "▁instinct": 26508, "пода": 26509, "olan": 26510, "▁ning": 26511, "inflate": 26512, "itatea": 26513, "acks": 26514, "▁Joy": 26515, "FLAG": 26516, "ailand": 26517, "▁sorti": 26518, "▁впер": 26519, "▁pén": 26520, "Nothing": 26521, "▁száz": 26522, "▁Áng": 26523, "▁AUT": 26524, "Actions": 26525, "Every": 26526, "▁червня": 26527, "▁автомо": 26528, "▁routine": 26529, "▁estruct": 26530, "▁Gang": 26531, "▁holes": 26532, "thesis": 26533, "▁concl": 26534, "▁pé": 26535, "riers": 26536, "ровой": 26537, "adic": 26538, "Speed": 26539, "▁commanded": 26540, "▁Nazionale": 26541, "Managed": 26542, "▁DECLARE": 26543, "▁sedan": 26544, "Strings": 26545, "▁sacred": 26546, "tersuch": 26547, "▁abitanti": 26548, "brit": 26549, "▁NCAA": 26550, "▁СП": 26551, "▁aged": 26552, "▁Chiesa": 26553, "▁revision": 26554, "opro": 26555, "▁overwrite": 26556, "embros": 26557, "▁sortie": 26558, "▁otten": 26559, "xiv": 26560, "▁deli": 26561, "▁Asp": 26562, "▁balls": 26563, "kaf": 26564, "▁brave": 26565, "▁всего": 26566, "egn": 26567, "jpeg": 26568, "▁Osten": 26569, "Constants": 26570, "▁Infantry": 26571, "▁Nev": 26572, "▁яких": 26573, "▁муниципа": 26574, "cija": 26575, "▁poem": 26576, "▁negro": 26577, "хар": 26578, "▁Ask": 26579, "▁avo": 26580, "▁Meyer": 26581, "▁Westen": 26582, "▁oko": 26583, "agin": 26584, "▁Süden": 26585, "entries": 26586, "▁Republik": 26587, "CollectionView": 26588, "-------": 26589, "▁firefox": 26590, "▁alcune": 26591, "▁фото": 26592, "▁отрима": 26593, "~~~~~~~~": 26594, "▁Раз": 26595, "▁Complex": 26596, "▁pia": 26597, "▁publicada": 26598, "wei": 26599, "cedure": 26600, "occupation": 26601, "▁medicine": 26602, "▁drove": 26603, "Problem": 26604, "▁beginner": 26605, "▁thoroughly": 26606, "uria": 26607, "avant": 26608, "ucha": 26609, "▁lever": 26610, "▁teatro": 26611, "AVA": 26612, "squ": 26613, "trat": 26614, "ivatal": 26615, "▁dirty": 26616, "▁seconde": 26617, "▁gravit": 26618, "▁proposition": 26619, "hbar": 26620, "omini": 26621, "▁”": 26622, "▁Camil": 26623, "▁queen": 26624, "modifier": 26625, "Jan": 26626, "▁lyr": 26627, "ComboBox": 26628, "ionic": 26629, "▁holy": 26630, "▁Sebastian": 26631, "|_{": 26632, "▁{@": 26633, "▁можно": 26634, "▁Creative": 26635, "▁interess": 26636, "▁CT": 26637, "ições": 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26696, "▁Nil": 26697, "▁прода": 26698, "▁Warner": 26699, "▁Nau": 26700, "triangle": 26701, "▁concentration": 26702, "▁gentlemen": 26703, "ächt": 26704, "filters": 26705, "incipal": 26706, "VALID": 26707, "▁депута": 26708, "adó": 26709, "▁konst": 26710, "gså": 26711, "agas": 26712, "▁meilleur": 26713, "▁данным": 26714, "єдна": 26715, "encoded": 26716, "<'": 26717, "▁sheets": 26718, "cuador": 26719, "▁використову": 26720, "▁Deput": 26721, "▁manière": 26722, "ąg": 26723, "csol": 26724, ")$-": 26725, "UIView": 26726, "▁millones": 26727, "▁Ehren": 26728, "Sil": 26729, "▁atac": 26730, "▁Cold": 26731, "\"\\": 26732, "▁approached": 26733, "▁Årsmed": 26734, "WM": 26735, "▁Deport": 26736, "mis": 26737, "andbox": 26738, "observ": 26739, "setting": 26740, "ható": 26741, "▁strat": 26742, "▁spre": 26743, "▁personne": 26744, "▁dirige": 26745, "pull": 26746, "dating": 26747, "▁Fact": 26748, "▁manipulate": 26749, "▁MAC": 26750, "▁dej": 26751, "ultimo": 26752, "FX": 26753, "Life": 26754, "▁crack": 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26872, "▁Mant": 26873, "▁связи": 26874, "▁javafx": 26875, "▁cependant": 26876, "▁intu": 26877, "▁твор": 26878, "▁Ó": 26879, "guer": 26880, "rado": 26881, "▁Revol": 26882, "▁fémin": 26883, "▁Orleans": 26884, "▁poj": 26885, "▁prez": 26886, "Tex": 26887, "ouwd": 26888, "?(": 26889, "▁LIM": 26890, "istique": 26891, "esar": 26892, "▁heures": 26893, "icki": 26894, "▁dbo": 26895, "skih": 26896, "confirm": 26897, "▁világ": 26898, "▁ciutat": 26899, "▁DR": 26900, "▁Hawai": 26901, "ched": 26902, "▁spher": 26903, "▁Artikel": 26904, "▁Multiple": 26905, "ciu": 26906, "▁мы": 26907, "▁lipca": 26908, "](/": 26909, "Strategy": 26910, "▁Alabama": 26911, "SDK": 26912, "UTC": 26913, "__.": 26914, "Arguments": 26915, "▁setContentView": 26916, "île": 26917, "ByVal": 26918, "▁JVM": 26919, "ющего": 26920, "▁Leonard": 26921, "▁justify": 26922, "цем": 26923, "▁nab": 26924, "CCESS": 26925, "▁hopes": 26926, ")&": 26927, "sero": 26928, "▁зай": 26929, "слід": 26930, "▁Rég": 26931, "▁Sang": 26932, "▁fung": 26933, 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"▁прис": 27167, "▁обы": 27168, "▁Marina": 27169, "▁occurrence": 27170, "rikt": 27171, "▁физи": 27172, "▁schwer": 27173, "▁Гре": 27174, "Reset": 27175, "▁mucho": 27176, "andr": 27177, "▁Wies": 27178, "▁Keith": 27179, "▁Julian": 27180, "▁cole": 27181, "ciendo": 27182, "▁Contempor": 27183, "etry": 27184, "elian": 27185, "гии": 27186, "▁голо": 27187, "▁dél": 27188, "▁decent": 27189, "РСР": 27190, "▁szeptember": 27191, "мест": 27192, "castle": 27193, "▁держав": 27194, "}\")": 27195, "▁ASCII": 27196, "▁Glen": 27197, "itzerland": 27198, "Toggle": 27199, "▁tradicional": 27200, "▁Plat": 27201, "vee": 27202, "abgerufen": 27203, "(|": 27204, "CLI": 27205, "}}$,": 27206, "▁Bowl": 27207, "▁Male": 27208, "▁Bres": 27209, "▁пси": 27210, "▁Challenge": 27211, "zó": 27212, "▁projekt": 27213, "▁negoti": 27214, "above": 27215, "▁перио": 27216, "▁longest": 27217, "authentic": 27218, "▁tradu": 27219, "▁mujeres": 27220, "▁Andre": 27221, "▁hadn": 27222, "▁Schule": 27223, "odel": 27224, "bled": 27225, "▁Trade": 27226, "▁mobil": 27227, "▁algunas": 27228, "▁Lak": 27229, "▁Connecticut": 27230, "▁alco": 27231, "▁Selbst": 27232, "ił": 27233, "▁alb": 27234, "ouverneur": 27235, "▁sr": 27236, "▁vba": 27237, "loped": 27238, "▁Partei": 27239, "uate": 27240, "▁Authentication": 27241, "bei": 27242, "}}.": 27243, "▁konnten": 27244, "▁допо": 27245, "▁hyd": 27246, "Office": 27247, "données": 27248, "▁Cleveland": 27249, "rita": 27250, "íos": 27251, "▁выше": 27252, "▁Roberts": 27253, "▁élections": 27254, "▁'')": 27255, "▁publishing": 27256, "▁bapt": 27257, "<>();": 27258, "missing": 27259, "ровано": 27260, "▁housing": 27261, "▁inference": 27262, "▁Renaissance": 27263, "▁règ": 27264, "▁Steph": 27265, "CES": 27266, "ERE": 27267, "кет": 27268, "OU": 27269, "▁grouping": 27270, "verkehr": 27271, "jih": 27272, "agli": 27273, "▁milk": 27274, "lait": 27275, "Stage": 27276, "▁byly": 27277, "▁wooden": 27278, "keley": 27279, "etra": 27280, "▁Peg": 27281, "▁donné": 27282, "adal": 27283, "sequently": 27284, "▁insbesondere": 27285, "ELD": 27286, "▁Mam": 27287, "▁volte": 27288, "▁prospect": 27289, "нове": 27290, "▁denoted": 27291, "▁overlay": 27292, "Permission": 27293, "een": 27294, "▁EM": 27295, "▁uz": 27296, "Mc": 27297, "olit": 27298, "▁servi": 27299, "▁Heidel": 27300, "▁Wiener": 27301, "▁illegal": 27302, "▁predictions": 27303, "▁goog": 27304, "hon": 27305, "▁Cinema": 27306, "▁револю": 27307, "▁Rule": 27308, "wod": 27309, "▁radiation": 27310, "oł": 27311, "ової": 27312, "▁Perform": 27313, "▁prisoner": 27314, "▁amet": 27315, "▁figura": 27316, "▁Commander": 27317, "▁официаль": 27318, "▁trov": 27319, "▁acted": 27320, "▁workflow": 27321, "▁Республики": 27322, "▁guidance": 27323, "▁мене": 27324, "National": 27325, "▁Kel": 27326, "webpack": 27327, "простра": 27328, "▁llamado": 27329, "alog": 27330, "terra": 27331, "ixen": 27332, "legraph": 27333, "äischen": 27334, "▁teachers": 27335, "uden": 27336, "▁også": 27337, "possible": 27338, "▁Soul": 27339, "▁Geography": 27340, "▁зада": 27341, "hit": 27342, "▁anger": 27343, "▁remporte": 27344, "Pod": 27345, "чке": 27346, "▁aria": 27347, "▁Astronom": 27348, "chapter": 27349, "▁fork": 27350, "▁Cuando": 27351, "mense": 27352, "▁Christians": 27353, "gc": 27354, "▁#(": 27355, "Organ": 27356, "▁steady": 27357, "pse": 27358, "жить": 27359, "ignes": 27360, "aterra": 27361, "movie": 27362, "posta": 27363, "raste": 27364, "▁Ressource": 27365, "▁País": 27366, "▁();": 27367, "▁penalty": 27368, "тт": 27369, "▁trasfer": 27370, "century": 27371, "▁cleaner": 27372, "selenium": 27373, "ortheast": 27374, "xic": 27375, "лії": 27376, "▁inglese": 27377, "▁Tang": 27378, "▁gods": 27379, "frent": 27380, "ciente": 27381, "starts": 27382, "▁musica": 27383, "ymnasium": 27384, "----+": 27385, "▁terrest": 27386, "▁retrieved": 27387, "iare": 27388, "unning": 27389, "▁Marcus": 27390, "▁promote": 27391, "warning": 27392, "тый": 27393, "})$,": 27394, "Transport": 27395, "▁reson": 27396, "▁Clo": 27397, "▁erm": 27398, "▁eliminate": 27399, "heimer": 27400, "▁saves": 27401, "▁prayer": 27402, "Classes": 27403, "Express": 27404, "▁Akademie": 27405, "Else": 27406, "Turn": 27407, "▁ikke": 27408, "▁rei": 27409, "▁dirett": 27410, "▁Rost": 27411, "▁Papa": 27412, "▁jsf": 27413, "лением": 27414, "▁Tul": 27415, "▁Zak": 27416, "▁niemieck": 27417, "Tw": 27418, "amour": 27419, "nested": 27420, "ppets": 27421, "шп": 27422, "dit": 27423, "зен": 27424, "zyma": 27425, "hrte": 27426, "Constraints": 27427, "▁ownership": 27428, "Arm": 27429, "▁consumption": 27430, "▁fet": 27431, "ivari": 27432, "chrom": 27433, "setAttribute": 27434, "▁compose": 27435, "▁backing": 27436, "▁Paz": 27437, "▁scri": 27438, "▁Mechan": 27439, "▁Norway": 27440, "▁Jup": 27441, "▁mér": 27442, "▁administrator": 27443, "▁cabe": 27444, "ivalent": 27445, "▁throne": 27446, "▁dues": 27447, "▁humor": 27448, "▁Adri": 27449, "▁abort": 27450, "ñas": 27451, "▁Київ": 27452, "jící": 27453, "▁zweite": 27454, "▁doub": 27455, "ershell": 27456, "шой": 27457, "▁Fam": 27458, "åk": 27459, "▁tweede": 27460, "▁Rib": 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28455, "▁nunca": 28456, "!(\"": 28457, "▁położ": 28458, "Secret": 28459, "▁Domain": 28460, "▁возмож": 28461, "XV": 28462, "lv": 28463, "ikh": 28464, "▁Sony": 28465, "mq": 28466, "otrop": 28467, "▁Logger": 28468, "▁threat": 28469, "asted": 28470, "зько": 28471, "▁freely": 28472, "▁improvements": 28473, "istema": 28474, "▁illustrate": 28475, "▁tact": 28476, "▁figur": 28477, "ués": 28478, "riminal": 28479, "odon": 28480, "intendo": 28481, "▁influenced": 28482, "FFER": 28483, "▁Ghost": 28484, "▁совер": 28485, "nad": 28486, "ioned": 28487, "▁Events": 28488, "▁wrapping": 28489, "---------+": 28490, "fif": 28491, "▁(**": 28492, "={{": 28493, "маль": 28494, "▁losses": 28495, "▁Galerie": 28496, "tel": 28497, "▁лютого": 28498, "▁Kru": 28499, "▁Polen": 28500, "нім": 28501, "near": 28502, "▁shame": 28503, "▁moyenne": 28504, "▁CP": 28505, "preis": 28506, "▁passenger": 28507, "lek": 28508, "ionales": 28509, "kafka": 28510, "▁participe": 28511, "▁membership": 28512, "[_": 28513, "lando": 28514, "stelling": 28515, "Sem": 28516, "gon": 28517, "▁Correct": 28518, "▁valle": 28519, "▁readily": 28520, "▁Dokument": 28521, "honneur": 28522, "▁testim": 28523, "ulative": 28524, "doFilter": 28525, "▁dominant": 28526, "ammer": 28527, "▁која": 28528, "▁Monsieur": 28529, "zeg": 28530, "▁війни": 28531, "▁Fo": 28532, "▁Amy": 28533, "▁¡": 28534, "▁február": 28535, "▁downloading": 28536, "▁leng": 28537, "\\}$,": 28538, "▁neat": 28539, "▁Cache": 28540, "ICATION": 28541, "▁deve": 28542, "▁sorrow": 28543, "slow": 28544, "▁hinaus": 28545, "▁reconoc": 28546, "▁Linked": 28547, "▁Shaw": 28548, "market": 28549, "▁Dic": 28550, "▁Ski": 28551, "▁delimiter": 28552, "▁MainActivity": 28553, "▁Musical": 28554, "▁Reyn": 28555, "ScrollView": 28556, "▁conventional": 28557, "ença": 28558, "▁refactor": 28559, "'-": 28560, "▁Hed": 28561, "sprech": 28562, "▁athlet": 28563, "▁especies": 28564, "▁Schön": 28565, "▁kleinen": 28566, "шко": 28567, "▁Йо": 28568, "▁Happy": 28569, "multirow": 28570, "▁augusti": 28571, "▁Gand": 28572, "▁appointment": 28573, "▁Mediabestanden": 28574, "Three": 28575, "▁Kenneth": 28576, "NEW": 28577, "▁Notification": 28578, "▁Marx": 28579, "▁insc": 28580, "Mor": 28581, "вый": 28582, "väst": 28583, "vidia": 28584, "▁demonstrated": 28585, "fonts": 28586, "▁kamen": 28587, "▁Ster": 28588, "▁mieszkańców": 28589, "▁Koh": 28590, "~$\\": 28591, "»).": 28592, "rene": 28593, "insic": 28594, "ická": 28595, "xygen": 28596, "▁mn": 28597, "▁sched": 28598, "ASC": 28599, "Ig": 28600, "▁Constant": 28601, "▁opportun": 28602, "▁MyClass": 28603, "sef": 28604, "oped": 28605, "▁injured": 28606, "VIS": 28607, "▁Pero": 28608, "▁Until": 28609, "▁flesh": 28610, "orphism": 28611, "▁Portal": 28612, "▁gminy": 28613, "▁власти": 28614, "▁Nä": 28615, "ктиче": 28616, "▁hrab": 28617, "▁Cub": 28618, "avoir": 28619, "▁Lars": 28620, "▁Бело": 28621, "▁seizoen": 28622, "▁Genomsnitt": 28623, "▁Lil": 28624, "▁Pool": 28625, "▁Dios": 28626, "TX": 28627, "aes": 28628, "autore": 28629, "Alpha": 28630, "states": 28631, "Lab": 28632, "nederbörd": 28633, "erton": 28634, "▁brid": 28635, "▁richt": 28636, "▁Ela": 28637, "▁сла": 28638, "▁weapon": 28639, "▁combatt": 28640, "agar": 28641, "▁regnig": 28642, "▁utilisé": 28643, "▁servir": 28644, "▁brick": 28645, "▁gateway": 28646, "▁torraste": 28647, "▁procedures": 28648, "▁årsnederbörd": 28649, "▁Genomsnittlig": 28650, "чёт": 28651, "▁områ": 28652, "▁regnigaste": 28653, "▁честь": 28654, "▁amid": 28655, "▁grateful": 28656, "▁DIS": 28657, "DAY": 28658, "▁ору": 28659, "▁rivière": 28660, "heure": 28661, "▁Richmond": 28662, "▁Compar": 28663, "▁Нор": 28664, "DOC": 28665, "esia": 28666, "calc": 28667, "▁IU": 28668, "▁vorg": 28669, "▁habían": 28670, "çoit": 28671, "▁arist": 28672, "▁кли": 28673, "▁Sue": 28674, "▁Touch": 28675, "▁Writing": 28676, "ifiable": 28677, "▁wc": 28678, "▁withdraw": 28679, "зар": 28680, "▁presently": 28681, "▁FK": 28682, "▁prakt": 28683, "▁colored": 28684, "usb": 28685, "▁Perú": 28686, "▁plata": 28687, "▁wishes": 28688, "▁кам": 28689, "azar": 28690, "ável": 28691, "▁lamp": 28692, "bishop": 28693, "▁inclusion": 28694, "jq": 28695, "arth": 28696, "▁Flag": 28697, "▁нор": 28698, "ædia": 28699, "UNCTION": 28700, "▁Bahnhof": 28701, "▁approaching": 28702, "▁Gött": 28703, "▁cube": 28704, "▁argued": 28705, "▁Things": 28706, "Gui": 28707, "дови": 28708, "▁recre": 28709, "▁réseau": 28710, "▁significa": 28711, "Git": 28712, "gebracht": 28713, "▁liga": 28714, "▁assured": 28715, "alus": 28716, "рит": 28717, "▁энциклопеди": 28718, "▁%).": 28719, "▁Première": 28720, "▁declarations": 28721, "▁tricky": 28722, "▁profiles": 28723, "▁Fon": 28724, "▁Jas": 28725, "âr": 28726, "babel": 28727, "▁Friday": 28728, "▁június": 28729, "▁cols": 28730, "▁EXISTS": 28731, "▁Italiana": 28732, "▁authorization": 28733, "▁sulle": 28734, "▁Emb": 28735, "▁Variable": 28736, "trees": 28737, "▁Fly": 28738, "riors": 28739, "▁damals": 28740, "▁findet": 28741, "▁Sept": 28742, "▁mundial": 28743, "▁removal": 28744, "▁longitude": 28745, "clic": 28746, "▁fade": 28747, "▁gradle": 28748, "▁zák": 28749, "▁timing": 28750, "trightarrow": 28751, "atia": 28752, "-.": 28753, "uche": 28754, "▁serialize": 28755, "▁Hmm": 28756, "▁Representatives": 28757, "bah": 28758, "rend": 28759, "assador": 28760, "▁shield": 28761, "ucion": 28762, "▁américaine": 28763, "zę": 28764, "villa": 28765, "▁hombre": 28766, "áss": 28767, "▁SF": 28768, "▁repeating": 28769, "▁criter": 28770, "▁Struct": 28771, "???": 28772, "▁cheap": 28773, "▁rings": 28774, "abhäng": 28775, "▁corte": 28776, "▁administ": 28777, "ixon": 28778, "gypt": 28779, "▁puntos": 28780, "▁mezi": 28781, "▁pochod": 28782, "isko": 28783, "nię": 28784, "▁осу": 28785, "▁ár": 28786, "тельной": 28787, "▁Metropolitan": 28788, "jin": 28789, "zess": 28790, "▁віці": 28791, "▁conflicts": 28792, "ijst": 28793, "▁Market": 28794, "стров": 28795, "▁\",\"": 28796, "▁Scroll": 28797, "gun": 28798, "тара": 28799, "▁amateur": 28800, "▁róż": 28801, "poss": 28802, "▁generalized": 28803, "▁Harm": 28804, "cita": 28805, "▁Switzerland": 28806, "icola": 28807, "▁muit": 28808, "located": 28809, "▁có": 28810, "▁arose": 28811, "▁communauté": 28812, "})^": 28813, "visibility": 28814, "ída": 28815, "▁FB": 28816, "▁Freund": 28817, "gat": 28818, "\":{\"": 28819, "intellij": 28820, "ifie": 28821, "hmen": 28822, "▁édition": 28823, "▁које": 28824, "▁інших": 28825, "oming": 28826, "▁arquitect": 28827, "▁Presidente": 28828, "▁Під": 28829, "▁cabin": 28830, "Theorem": 28831, "▁Gay": 28832, "ifice": 28833, "▁hect": 28834, "lą": 28835, "irmingham": 28836, "▁semantic": 28837, "▁Louisiana": 28838, "▁sacrifice": 28839, "▁Christoph": 28840, "▁Executive": 28841, "_+": 28842, "ják": 28843, "▁seria": 28844, "▁Overflow": 28845, "▁Lucy": 28846, "▁melhor": 28847, "▁voices": 28848, "cza": 28849, "▁капи": 28850, "▁университета": 28851, "INCT": 28852, "▁coloc": 28853, "▁prue": 28854, "▁geomet": 28855, "▁diretto": 28856, "reso": 28857, "▁Akt": 28858, "▁unh": 28859, "▁сери": 28860, "▁Alert": 28861, "Wel": 28862, "audi": 28863, "äler": 28864, "▁guests": 28865, "▁иде": 28866, "Studio": 28867, "▁кате": 28868, "▁exponent": 28869, "rze": 28870, "pmod": 28871, "rolle": 28872, "▁Limited": 28873, "Allemagne": 28874, "▁pity": 28875, "▁lä": 28876, "▁runner": 28877, "kende": 28878, "EQ": 28879, "▁MM": 28880, "szág": 28881, "поді": 28882, "▁regret": 28883, "▁publié": 28884, "▁departamento": 28885, "▁accused": 28886, "hp": 28887, "▁Pfl": 28888, "▁Sint": 28889, "▁ekonom": 28890, "ractor": 28891, "▁Пів": 28892, "▁awful": 28893, "ować": 28894, "]->": 28895, "▁Fine": 28896, "Са": 28897, "tis": 28898, "éta": 28899, "▁Роди": 28900, "▁Düsseldorf": 28901, "LOB": 28902, "osas": 28903, "werke": 28904, "▁lance": 28905, "▁листопада": 28906, "▁incomplete": 28907, "▁Picture": 28908, "('\\": 28909, "esters": 28910, "▁belonged": 28911, "▁Sank": 28912, "ammed": 28913, "▁repositories": 28914, "▁addr": 28915, "Collect": 28916, "Hot": 28917, "▁tyl": 28918, "▁instanceof": 28919, "▁bonus": 28920, "ový": 28921, "▁моря": 28922, "▁interactive": 28923, "▁Mys": 28924, "▁Edmund": 28925, "fileName": 28926, "emor": 28927, "▁Три": 28928, "▁Rosen": 28929, "▁Prima": 28930, "▁voting": 28931, "▁XP": 28932, "▁Zero": 28933, "▁Led": 28934, "amsung": 28935, "▁enables": 28936, "▁redirects": 28937, "AST": 28938, "Paint": 28939, "acker": 28940, "lecht": 28941, "▁chairman": 28942, "▁Aven": 28943, "▁Sach": 28944, "(\"<": 28945, "кер": 28946, "▁mistakes": 28947, "▁Weit": 28948, "▁prowad": 28949, "▁didnt": 28950, "énario": 28951, "unless": 28952, "▁backwards": 28953, "boa": 28954, "duino": 28955, "```": 28956, "stor": 28957, "Completion": 28958, "puesta": 28959, "▁dinast": 28960, "últ": 28961, "▁SY": 28962, "ifolia": 28963, "œuvres": 28964, "▁racing": 28965, "▁cabinet": 28966, "▁cutting": 28967, "▁thumb": 28968, "▁Кара": 28969, "highlight": 28970, "куп": 28971, "▁sd": 28972, "▁національ": 28973, "▁campagne": 28974, "▁registers": 28975, "▁educational": 28976, "▁pesar": 28977, "üge": 28978, "▁oro": 28979, "burgo": 28980, "▁Athletics": 28981, "▁MTV": 28982, "getMessage": 28983, "▁Hyp": 28984, "▁victim": 28985, "))\\": 28986, "▁drums": 28987, "hostname": 28988, "tał": 28989, "making": 28990, "▁powiat": 28991, "őd": 28992, "threads": 28993, "▁absolv": 28994, "▁люди": 28995, "▁stepped": 28996, "exist": 28997, "▁NK": 28998, "▁ves": 28999, "istiche": 29000, "%'": 29001, "ativos": 29002, "▁такой": 29003, "▁MongoDB": 29004, "▁Ung": 29005, "▁Рус": 29006, "▁elim": 29007, "▁Fif": 29008, "icación": 29009, "▁Tennis": 29010, "▁Jefferson": 29011, "ján": 29012, "fog": 29013, "anha": 29014, "zor": 29015, "▁університе": 29016, "ahu": 29017, "iada": 29018, "Sdk": 29019, "Setting": 29020, "▁Kill": 29021, "▁Wend": 29022, "▁bald": 29023, "▁Kub": 29024, "▁visto": 29025, "▁jeunes": 29026, "collections": 29027, "ací": 29028, "вропей": 29029, "▁arise": 29030, "оні": 29031, "MAIN": 29032, "доступ": 29033, "▁berg": 29034, "▁criticism": 29035, "▁Torre": 29036, "▁descript": 29037, "ières": 29038, "▁estudio": 29039, "▁ili": 29040, "▁militare": 29041, "▁Clara": 29042, "▁Ellen": 29043, "limited": 29044, "лм": 29045, "▁Españ": 29046, "▁infinitely": 29047, "America": 29048, "ouc": 29049, "glass": 29050, "▁rud": 29051, "▁zat": 29052, "▁rin": 29053, "▁Bibliografía": 29054, "▁merchant": 29055, "tensorflow": 29056, "▁dér": 29057, "▁ActiveRecord": 29058, "IES": 29059, "▁linker": 29060, "▁estudios": 29061, "cdnjs": 29062, "▁Государ": 29063, "ánchez": 29064, "appe": 29065, "club": 29066, "▁další": 29067, "▁Algorithm": 29068, "dfs": 29069, "▁Bac": 29070, "▁кафе": 29071, "▁&=\\": 29072, "▁ат": 29073, "▁Глав": 29074, "▁Mou": 29075, "Machine": 29076, "(...)": 29077, "▁compart": 29078, "▁augusztus": 29079, "avan": 29080, "▁rolled": 29081, "▁еди": 29082, "Scan": 29083, "▁регі": 29084, "▁świata": 29085, "▁mines": 29086, "},{": 29087, "▁Tier": 29088, "Cannot": 29089, "мін": 29090, "▁NEW": 29091, "▁Вол": 29092, "▁Manh": 29093, "▁Gregory": 29094, "▁principe": 29095, "ISO": 29096, "prog": 29097, "▁Fail": 29098, "▁aa": 29099, "▁fecha": 29100, "▁WCF": 29101, "▁magistr": 29102, "▁Zach": 29103, "▁unicode": 29104, "▁converter": 29105, "▁dispers": 29106, "ksam": 29107, "▁Uncle": 29108, "PropertyChanged": 29109, "▁lider": 29110, "▁opts": 29111, "▁там": 29112, "locked": 29113, "zak": 29114, "▁counted": 29115, "▁persone": 29116, "▁hurried": 29117, "ätter": 29118, "▁outras": 29119, "▁genu": 29120, "BD": 29121, "veg": 29122, "due": 29123, "▁Pract": 29124, "▁posible": 29125, "▁contribute": 29126, "UMN": 29127, "▁Bürger": 29128, "▁wars": 29129, "▁exhibition": 29130, "hill": 29131, "▁astr": 29132, "▁музе": 29133, "▁CASE": 29134, "manifest": 29135, "yellow": 29136, "Fn": 29137, "▁RC": 29138, "▁sott": 29139, "▁sujet": 29140, "▁Socket": 29141, "▁Chine": 29142, "▁frameworks": 29143, "Hold": 29144, "êts": 29145, "▁філь": 29146, "Loaded": 29147, "ophe": 29148, "texte": 29149, "▁expres": 29150, "▁consume": 29151, "▁Richtung": 29152, "ografi": 29153, "▁magnific": 29154, "àt": 29155, "▁indul": 29156, "ryty": 29157, "▁offici": 29158, "▁assault": 29159, "rund": 29160, "▁variants": 29161, "▁сельсов": 29162, "▁excitement": 29163, "Times": 29164, "kotlin": 29165, "▁gering": 29166, "▁Engel": 29167, "▁Timer": 29168, "²).": 29169, "▁Ng": 29170, "ässt": 29171, "schau": 29172, "SError": 29173, "▁Edwards": 29174, "▁Terminal": 29175, "lict": 29176, "Under": 29177, "▁spawn": 29178, "ürgen": 29179, "▁Außerdem": 29180, "▁kitchen": 29181, "fahrt": 29182, "▁Colors": 29183, "▁система": 29184, "▁terminated": 29185, "▁LaTeX": 29186, "igkeiten": 29187, "▁mesure": 29188, "▁Amts": 29189, "▁empir": 29190, "▁striking": 29191, "▁exclusive": 29192, "тех": 29193, "▁rez": 29194, "▁quan": 29195, "▁Glasgow": 29196, "▁lecture": 29197, "▁Testament": 29198, "▁funds": 29199, "▁stessa": 29200, "▁tribes": 29201, "▁parfois": 29202, "▁treball": 29203, "nitz": 29204, "bove": 29205, "▁заслу": 29206, "▁absent": 29207, "▁Lauf": 29208, "Smith": 29209, "▁Николай": 29210, "▁européenne": 29211, "lr": 29212, "▁programma": 29213, "▁midst": 29214, "▁daughters": 29215, "Syn": 29216, "oben": 29217, "ână": 29218, "idan": 29219, "▁ther": 29220, "odore": 29221, "sdl": 29222, "▁Quint": 29223, "▁casos": 29224, "▁Zam": 29225, "▁страны": 29226, "▁sprite": 29227, "кал": 29228, "▁nasc": 29229, "▁сотруд": 29230, "▁trava": 29231, "▁хозяй": 29232, "▁Uruguay": 29233, "▁sparse": 29234, "▁поле": 29235, "▁mystery": 29236, "▁Mang": 29237, "registr": 29238, "▁CGFloat": 29239, "▁submission": 29240, "вана": 29241, "▁\":": 29242, "▁Traceback": 29243, "▁Pit": 29244, "▁Ehr": 29245, "▁сра": 29246, "▁Graphics": 29247, "Updated": 29248, "▁svensk": 29249, "▁spacing": 29250, "tritt": 29251, "▁Guinea": 29252, "▁França": 29253, "Associ": 29254, "▁Tová": 29255, "stab": 29256, "▁Learning": 29257, "▁Bright": 29258, "śc": 29259, "▁idő": 29260, "}}_{\\": 29261, "▁droite": 29262, "▁raising": 29263, "getting": 29264, "ythm": 29265, "onyme": 29266, "żs": 29267, "▁blah": 29268, "TagName": 29269, "Vertical": 29270, "▁aper": 29271, "postgresql": 29272, "▁Handle": 29273, "zew": 29274, "▁skulle": 29275, 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30279, "ή": 30280, "ラ": 30281, "Џ": 30282, "ك": 30283, "₇": 30284, "מ": 30285, "ת": 30286, "一": 30287, "Π": 30288, "า": 30289, "・": 30290, "Σ": 30291, "Α": 30292, "Δ": 30293, "ש": 30294, "ز": 30295, "्": 30296, "ร": 30297, "い": 30298, "ʻ": 30299, "Њ": 30300, "₉": 30301, "ʼ": 30302, "リ": 30303, "‐": 30304, "ク": 30305, "∞": 30306, "⁄": 30307, "ύ": 30308, "Ş": 30309, "ア": 30310, "Ε": 30311, "ɪ": 30312, "人": 30313, "Κ": 30314, "∀": 30315, "र": 30316, "ッ": 30317, "►": 30318, "子": 30319, "¬": 30320, "خ": 30321, "◄": 30322, "َ": 30323, "ע": 30324, "日": 30325, "し": 30326, "ḥ": 30327, "נ": 30328, "山": 30329, "、": 30330, "Ї": 30331, "る": 30332, "文": 30333, "Ñ": 30334, "ド": 30335, "ד": 30336, "ն": 30337, "Ђ": 30338, "Γ": 30339, "þ": 30340, "’": 30341, "®": 30342, "ک": 30343, "“": 30344, "⚭": 30345, "本": 30346, "ℕ": 30347, "น": 30348, "ѝ": 30349, "̶": 30350, "อ": 30351, "ў": 30352, "に": 30353, "数": 30354, "ე": 30355, "国": 30356, "Ω": 30357, "　": 30358, "ǎ": 30359, "ص": 30360, "”": 30361, "Μ": 30362, " ": 30363, "と": 30364, "⁠": 30365, "た": 30366, "ط": 30367, "ր": 30368, "タ": 30369, "ÿ": 30370, "な": 30371, "أ": 30372, "シ": 30373, "新": 30374, "﹕": 30375, "ʃ": 30376, "ľ": 30377, "ロ": 30378, "⁴": 30379, "்": 30380, "⇒": 30381, "ţ": 30382, "：": 30383, "Ț": 30384, "ക": 30385, "≥": 30386, "ി": 30387, "マ": 30388, "ん": 30389, "ṣ": 30390, "ジ": 30391, "是": 30392, "이": 30393, "⋅": 30394, "田": 30395, "を": 30396, "道": 30397, "ง": 30398, "¨": 30399, "ـ": 30400, "เ": 30401, "村": 30402, "Ê": 30403, "ם": 30404, "›": 30405, "用": 30406, "ώ": 30407, "天": 30408, "）": 30409, "་": 30410, "镇": 30411, "か": 30412, "不": 30413, "Τ": 30414, "学": 30415, "ư": 30416, "有": 30417, "ո": 30418, "（": 30419, "レ": 30420, "گ": 30421, "‏": 30422, "フ": 30423, "न": 30424, "ก": 30425, "ɑ": 30426, "す": 30427, "ח": 30428, "上": 30429, "‌": 30430, "∧": 30431, "ṭ": 30432, "ק": 30433, "ξ": 30434, "¤": 30435, "ि": 30436, "会": 30437, "ന": 30438, "カ": 30439, "ų": 30440, "ま": 30441, "ു": 30442, "͡": 30443, "क": 30444, "া": 30445, "小": 30446, "ן": 30447, "行": 30448, "は": 30449, "ʁ": 30450, "Ő": 30451, "Þ": 30452, "り": 30453, "キ": 30454, "Λ": 30455, "რ": 30456, "三": 30457, "が": 30458, "コ": 30459, "ζ": 30460, "市": 30461, "王": 30462, "ℝ": 30463, "Ź": 30464, "う": 30465, "て": 30466, "区": 30467, "ാ": 30468, "‚": 30469, "年": 30470, "פ": 30471, "ի": 30472, "ſ": 30473, "‹": 30474, "त": 30475, "ŏ": 30476, "‑": 30477, "̃": 30478, "Ć": 30479, "ى": 30480, "「": 30481, "」": 30482, "ს": 30483, "Ā": 30484, "म": 30485, "生": 30486, "≠": 30487, "Љ": 30488, "स": 30489, "↔": 30490, "Ο": 30491, "ว": 30492, "ლ": 30493, "成": 30494, "定": 30495, "ล": 30496, "¶": 30497, "כ": 30498, "で": 30499, "ּ": 30500, "ม": 30501, "个": 30502, "和": 30503, "ס": 30504, "在": 30505, "Β": 30506, "ิ": 30507, "Ι": 30508, "⁵": 30509, "ั": 30510, "ɡ": 30511, "━": 30512, "ら": 30513, "オ": 30514, "¼": 30515, "ե": 30516, "バ": 30517, "ָ": 30518, "ŋ": 30519, "ŭ": 30520, "グ": 30521, "⁶": 30522, "Ь": 30523, "⁰": 30524, "方": 30525, "บ": 30526, "—": 30527, "高": 30528, "ệ": 30529, "Ν": 30530, "ѣ": 30531, "ィ": 30532, "地": 30533, "月": 30534, "Ô": 30535, "™": 30536, "ウ": 30537, "き": 30538, "公": 30539, "ạ": 30540, "ო": 30541, "ɾ": 30542, "่": 30543, "出": 30544, "法": 30545, "Θ": 30546, "ส": 30547, "名": 30548, "ย": 30549, "ത": 30550, "Φ": 30551, "↓": 30552, "れ": 30553, "ג": 30554, "Ё": 30555, "ơ": 30556, "下": 30557, "ә": 30558, "ψ": 30559, "┼": 30560, "ャ": 30561, "√": 30562, "¥": 30563, "社": 30564, "ṇ": 30565, "さ": 30566, "ِ": 30567, "く": 30568, "े": 30569, "Ы": 30570, "ἐ": 30571, "テ": 30572, "为": 30573, "乡": 30574, "川": 30575, "ナ": 30576, "之": 30577, "字": 30578, "ム": 30579, "ी": 30580, "海": 30581, "ブ": 30582, "≈": 30583, "！": 30584, "پ": 30585, "¯": 30586, "ἀ": 30587, "ƒ": 30588, "こ": 30589, "ְ": 30590, "東": 30591, "明": 30592, "ὶ": 30593, "时": 30594, "ท": 30595, "ɨ": 30596, "デ": 30597, "️": 30598, "ʊ": 30599, "エ": 30600, "南": 30601, "西": 30602, "ल": 30603, "メ": 30604, "プ": 30605, "平": 30606, "式": 30607, "ῖ": 30608, "қ": 30609, "व": 30610, "غ": 30611, "Ò": 30612, "家": 30613, "ʒ": 30614, "サ": 30615, "≡": 30616, "ダ": 30617, "ต": 30618, "∃": 30619, "₹": 30620, "प": 30621, "第": 30622, "ര": 30623, "ض": 30624, "▄": 30625, "城": 30626, "ミ": 30627, "ɐ": 30628, "¦": 30629, "美": 30630, "件": 30631, "ნ": 30632, "Ð": 30633, "ַ": 30634, "ニ": 30635, "部": 30636, "ņ": 30637, "ǐ": 30638, "ט": 30639, "य": 30640, "あ": 30641, "¾": 30642, "ả": 30643, "ち": 30644, "ュ": 30645, "÷": 30646, "女": 30647, "神": 30648, "♦": 30649, "¢": 30650, "以": 30651, "้": 30652, "র": 30653, "太": 30654, "্": 30655, "チ": 30656, "յ": 30657, "前": 30658, "金": 30659, "ւ": 30660, "野": 30661, "北": 30662, "ห": 30663, "‰": 30664, "っ": 30665, "加": 30666, "原": 30667, "ʲ": 30668, "置": 30669, "安": 30670, "ガ": 30671, "我": 30672, "Ḥ": 30673, "യ": 30674, "京": 30675, "▀": 30676, "მ": 30677, "ვ": 30678, "ʾ": 30679, "∨": 30680, "ִ": 30681, "可": 30682, "取": 30683, "县": 30684, "二": 30685, "▒": 30686, "理": 30687, "自": 30688, "信": 30689, "代": 30690, "ี": 30691, "צ": 30692, "်": 30693, "द": 30694, "⁸": 30695, "̯": 30696, "お": 30697, "要": 30698, "ῦ": 30699, "க": 30700, "ễ": 30701, "ु": 30702, "ƒ": 30703, "ʰ": 30704, "化": 30705, "✓": 30706, "പ": 30707, "의": 30708, "다": 30709, "木": 30710, "ُ": 30711, "̀": 30712, "ˌ": 30713, "ह": 30714, "パ": 30715, "水": 30716, "ế": 30717, "ด": 30718, "ズ": 30719, "⁹": 30720, "島": 30721, "‍": 30722, "も": 30723, "正": 30724, "■": 30725, "آ": 30726, "พ": 30727, "内": 30728, "Ì": 30729, "ǔ": 30730, "┬": 30731, "作": 30732, "合": 30733, "ὸ": 30734, "み": 30735, "▼": 30736, "ῶ": 30737, "⊙": 30738, "～": 30739, "ị": 30740, "ْ": 30741, "回": 30742, "了": 30743, "所": 30744, "事": 30745, "表": 30746, "ำ": 30747, "分": 30748, "⁷": 30749, "ү": 30750, "€": 30751, "入": 30752, "全": 30753, "إ": 30754, "里": 30755, "Χ": 30756, "ं": 30757, "ハ": 30758, "ค": 30759, "⁻": 30760, "モ": 30761, "郎": 30762, "据": 30763, "●": 30764, "州": 30765, "∩": 30766, "者": 30767, "通": 30768, "都": 30769, "ℤ": 30770, "♭": 30771, "╌": 30772, "つ": 30773, "ḍ": 30774, "江": 30775, "ז": 30776, "Ý": 30777, "ө": 30778, "์": 30779, "到": 30780, "ி": 30781, "ʂ": 30782, "对": 30783, "스": 30784, "使": 30785, "ি": 30786, "よ": 30787, "Ἀ": 30788, "Ï": 30789, "∘": 30790, "사": 30791, "ন": 30792, "世": 30793, "ɕ": 30794, "կ": 30795, "უ": 30796, "ട": 30797, "ბ": 30798, "ो": 30799, "വ": 30800, "果": 30801, "十": 30802, "ุ": 30803, "藤": 30804, "来": 30805, "面": 30806, "け": 30807, "ĕ": 30808, "ビ": 30809, "这": 30810, "지": 30811, "ം": 30812, "街": 30813, "石": 30814, "能": 30815, "空": 30816, "տ": 30817, "ئ": 30818, "武": 30819, "ʹ": 30820, "ϕ": 30821, "后": 30822, "ะ": 30823, "元": 30824, "ʔ": 30825, "리": 30826, "기": 30827, "河": 30828, "町": 30829, "花": 30830, "ὐ": 30831, "类": 30832, "░": 30833, "物": 30834, "Η": 30835, "¸": 30836, "ு": 30837, "თ": 30838, "ث": 30839, "െ": 30840, "╠": 30841, "⊆": 30842, "》": 30843, "ツ": 30844, "版": 30845, "动": 30846, "如": 30847, "真": 30848, "ɲ": 30849, "号": 30850, "ذ": 30851, "정": 30852, "林": 30853, "書": 30854, "民": 30855, "口": 30856, "ّ": 30857, "示": 30858, "മ": 30859, "아": 30860, "图": 30861, "∪": 30862, "戦": 30863, "李": 30864, "ല": 30865, "《": 30866, "光": 30867, "白": 30868, "心": 30869, "த": 30870, "ज": 30871, "设": 30872, "ί": 30873, "路": 30874, "ग": 30875, "∥": 30876, "한": 30877, "最": 30878, "Ћ": 30879, "手": 30880, "ս": 30881, "？": 30882, "型": 30883, "ầ": 30884, "セ": 30885, "建": 30886, "ェ": 30887, "主": 30888, "시": 30889, "대": 30890, "ῆ": 30891, "‡": 30892, "集": 30893, "დ": 30894, "目": 30895, "Ρ": 30896, "ァ": 30897, "度": 30898, "長": 30899, "星": 30900, "ノ": 30901, "ộ": 30902, "가": 30903, "五": 30904, "چ": 30905, "로": 30906, "ョ": 30907, "重": 30908, "于": 30909, "发": 30910, "史": 30911, "ظ": 30912, "ช": 30913, "え": 30914, "國": 30915, "ĭ": 30916, "ப": 30917, "인": 30918, "你": 30919, "駅": 30920, "‒": 30921, "♥": 30922, "多": 30923, "ħ": 30924, "Қ": 30925, "ồ": 30926, "士": 30927, "四": 30928, "┴": 30929, "ம": 30930, "司": 30931, "ে": 30932, "ὰ": 30933, "∂": 30934, "╬": 30935, "次": 30936, "Ľ": 30937, "⟶": 30938, "立": 30939, "点": 30940, "音": 30941, "⠀": 30942, "器": 30943, "하": 30944, "井": 30945, "存": 30946, "ֹ": 30947, "当": 30948, "Ë": 30949, "★": 30950, "寺": 30951, "性": 30952, "也": 30953, "め": 30954, "だ": 30955, "位": 30956, "ങ": 30957, "ہ": 30958, "值": 30959, "古": 30960, "გ": 30961, "ব": 30962, "院": 30963, "േ": 30964, "▶": 30965, "ர": 30966, "界": 30967, "語": 30968, "സ": 30969, "수": 30970, "ǒ": 30971, "愛": 30972, "✔": 30973, "時": 30974, "ọ": 30975, "റ": 30976, "մ": 30977, "ケ": 30978, "东": 30979, "同": 30980, "주": 30981, "保": 30982, "Õ": 30983, "ố": 30984, "ἰ": 30985, "青": 30986, "ゴ": 30987, "体": 30988, "清": 30989, "相": 30990, "จ": 30991, "ء": 30992, "情": 30993, "𝕜": 30994, "ক": 30995, "ḫ": 30996, "ờ": 30997, "将": 30998, "族": 30999, "동": 31000, "Υ": 31001, "┌": 31002, "ボ": 31003, "宮": 31004, "』": 31005, "ম": 31006, "『": 31007, "ļ": 31008, "श": 31009, "ป": 31010, "Ա": 31011, "ब": 31012, "자": 31013, "政": 31014, "ா": 31015, "间": 31016, "fi": 31017, "松": 31018, "ṃ": 31019, "始": 31020, "息": 31021, "少": 31022, "教": 31023, "获": 31024, "列": 31025, "开": 31026, "ტ": 31027, "ワ": 31028, "კ": 31029, "科": 31030, "春": 31031, "治": 31032, "吉": 31033, "ས": 31034, "ศ": 31035, "ɒ": 31036, "台": 31037, "ネ": 31038, "း": 31039, "ĩ": 31040, "工": 31041, "ά": 31042, "知": 31043, "八": 31044, "場": 31045, "画": 31046, "百": 31047, "☆": 31048, "記": 31049, "得": 31050, "ソ": 31051, "氏": 31052, "ာ": 31053, "에": 31054, "ল": 31055, "ṛ": 31056, "关": 31057, "ġ": 31058, "έ": 31059, "∑": 31060, "ベ": 31061, "标": 31062, "니": 31063, "ὴ": 31064, "ֵ": 31065, "外": 31066, "♠": 31067, "わ": 31068, "間": 31069, "ภ": 31070, "校": 31071, "制": 31072, "แ": 31073, "力": 31074, "門": 31075, "好": 31076, "ғ": 31077, "Ù": 31078, "ℓ": 31079, "ֶ": 31080, "는": 31081, "┐": 31082, "∗": 31083, "指": 31084, "色": 31085, "返": 31086, "馬": 31087, "请": 31088, "≫": 31089, "風": 31090, "ό": 31091, "接": 31092, "서": 31093, "↳": 31094, "せ": 31095, "志": 31096, "̲": 31097, "魔": 31098, "ң": 31099, "更": 31100, "程": 31101, "김": 31102, "郡": 31103, "ོ": 31104, "ũ": 31105, "ച": 31106, "利": 31107, "県": 31108, "周": 31109, "そ": 31110, "や": 31111, "谷": 31112, "香": 31113, "♯": 31114, "じ": 31115, "،": 31116, "期": 31117, "∅": 31118, "┘": 31119, "初": 31120, "福": 31121, "片": 31122, "ザ": 31123, "動": 31124, "参": 31125, "성": 31126, "Ə": 31127, "╦": 31128, "어": 31129, "ხ": 31130, "義": 31131, "च": 31132, "象": 31133, "功": 31134, "♂": 31135, "도": 31136, "고": 31137, "过": 31138, "վ": 31139, "皇": 31140, "特": 31141, "ậ": 31142, "长": 31143, "英": 31144, "ấ": 31145, "ണ": 31146, "Ъ": 31147, "স": 31148, "其": 31149, "ত": 31150, "流": 31151, "除": 31152, "일": 31153, "ু": 31154, "្": 31155, "永": 31156, "直": 31157, "상": 31158, "千": 31159, "ắ": 31160, "館": 31161, "Ť": 31162, "朝": 31163, "ட": 31164, "ɣ": 31165, "单": 31166, "ʀ": 31167, "格": 31168, "德": 31169, "전": 31170, "☺": 31171, "ピ": 31172, "歌": 31173, "进": 31174, "限": 31175, "夫": 31176, "트": 31177, "⊢": 31178, "園": 31179, "量": 31180, "土": 31181, "放": 31182, "码": 31183, "等": 31184, "系": 31185, "∼": 31186, "華": 31187, "↵": 31188, "소": 31189, "常": 31190, "否": 31191, "見": 31192, "源": 31193, "ׁ": 31194, "实": 31195, "博": 31196, "라": 31197, "원": 31198, "보": 31199, "⊕": 31200, "解": 31201, "〜": 31202, "男": 31203, "দ": 31204, "ポ": 31205, "ろ": 31206, "나": 31207, "ག": 31208, "無": 31209, "Û": 31210, "̥": 31211, "ұ": 31212, "查": 31213, "̣": 31214, "╗": 31215, "╩": 31216, "条": 31217, "য": 31218, "ὁ": 31219, "後": 31220, "他": 31221, "网": 31222, "ல": 31223, "≃": 31224, "화": 31225, "ە": 31226, "阿": 31227, "ေ": 31228, "户": 31229, "∫": 31230, "구": 31231, "ར": 31232, "မ": 31233, "▸": 31234, "լ": 31235, "○": 31236, "命": 31237, "就": 31238, "龍": 31239, "君": 31240, "夏": 31241, "": 31242, "言": 31243, "先": 31244, "➜": 31245, "შ": 31246, "ძ": 31247, "ਾ": 31248, "வ": 31249, "ど": 31250, "ヒ": 31251, "ไ": 31252, "ன": 31253, "ば": 31254, "ギ": 31255, "գ": 31256, "ἄ": 31257, "ヤ": 31258, "典": 31259, "府": 31260, "̄": 31261, "신": 31262, "组": 31263, "改": 31264, "ὲ": 31265, "华": 31266, "与": 31267, "调": 31268, "╝": 31269, "ヴ": 31270, "ქ": 31271, "由": 31272, "修": 31273, "學": 31274, "♣": 31275, "消": 31276, "符": 31277, "ʌ": 31278, "부": 31279, "ớ": 31280, "‾": 31281, "▲": 31282, "录": 31283, "ള": 31284, "연": 31285, "을": 31286, "ひ": 31287, "영": 31288, "┤": 31289, "已": 31290, "陽": 31291, "င": 31292, "국": 31293, "容": 31294, "未": 31295, "宗": 31296, "ᴇ": 31297, "び": 31298, "장": 31299, "龙": 31300, "්": 31301, "提": 31302, "ĝ": 31303, "六": 31304, "形": 31305, "제": 31306, "Հ": 31307, "伊": 31308, "ϵ": 31309, "ข": 31310, "Ű": 31311, "ゃ": 31312, "火": 31313, "Ṣ": 31314, "佐": 31315, "⊥": 31316, "̪": 31317, "ứ": 31318, "□": 31319, "结": 31320, "九": 31321, "雄": 31322, "թ": 31323, "ា": 31324, "而": 31325, "བ": 31326, "우": 31327, "张": 31328, "ट": 31329, "ष": 31330, "向": 31331, "ῥ": 31332, "选": 31333, "공": 31334, "ゲ": 31335, "ʐ": 31336, "仁": 31337, "堂": 31338, "ך": 31339, "ု": 31340, "ἔ": 31341, "അ": 31342, "ề": 31343, "ད": 31344, "선": 31345, "오": 31346, "久": 31347, "œ": 31348, "义": 31349, "अ": 31350, "╔": 31351, "无": 31352, "
": 31353, "은": 31354, "ʷ": 31355, "那": 31356, "線": 31357, "务": 31358, "基": 31359, "属": 31360, "配": 31361, "미": 31362, "軍": 31363, "โ": 31364, "津": 31365, "完": 31366, "研": 31367, "注": 31368, "失": 31369, "应": 31370, "က": 31371, "╚": 31372, "友": 31373, "章": 31374, "Ψ": 31375, "求": 31376, "ण": 31377, "경": 31378, "‬": 31379, "भ": 31380, "们": 31381, "模": 31382, "需": 31383, "ச": 31384, "電": 31385, "প": 31386, "դ": 31387, "へ": 31388, "此": 31389, "夜": 31390, "或": 31391, "橋": 31392, "根": 31393, "Ī": 31394, "玉": 31395, "ู": 31396, "ṅ": 31397, "交": 31398, "品": 31399, "良": 31400, "ང": 31401, "ォ": 31402, "则": 31403, "開": 31404, "Ζ": 31405, "문": 31406, "被": 31407, "조": 31408, "株": 31409, "记": 31410, "會": 31411, "经": 31412, "ू": 31413, "ょ": 31414, "转": 31415, "崎": 31416, "마": 31417, "⌘": 31418, "比": 31419, "造": 31420, "ܐ": 31421, "ื": 31422, "没": 31423, "现": 31424, "七": 31425, "Ά": 31426, "商": 31427, "ை": 31428, "机": 31429, "阳": 31430, "ĉ": 31431, "角": 31432, "站": 31433, "բ": 31434, "해": 31435, "及": 31436, "ध": 31437, "術": 31438, "认": 31439, "‘": 31440, "创": 31441, "編": 31442, "ղ": 31443, "ḩ": 31444, "伝": 31445, "岡": 31446, "ड": 31447, "ホ": 31448, "港": 31449, "任": 31450, "登": 31451, "ི": 31452, "็": 31453, "布": 31454, "究": 31455, "帝": 31456, "여": 31457, "산": 31458, "န": 31459, "◦": 31460, "密": 31461, "变": 31462, "序": 31463, "♀": 31464, "∣": 31465, "计": 31466, "曲": 31467, "Ă": 31468, "ύ": 31469, "ʋ": 31470, "传": 31471, "】": 31472, "包": 31473, "意": 31474, "去": 31475, "沙": 31476, "⸮": 31477, "【": 31478, "写": 31479, "超": 31480, "ய": 31481, "今": 31482, "┈": 31483, "森": 31484, "ි": 31485, "⊗": 31486, "비": 31487, "հ": 31488, "Ḩ": 31489, "ǫ": 31490, "黄": 31491, "∙": 31492, "드": 31493, "🌍": 31494, "景": 31495, "湖": 31496, "ք": 31497, "ိ": 31498, "ⁿ": 31499, "̂": 31500, "ペ": 31501, "何": 31502, "宇": 31503, "張": 31504, "语": 31505, "老": 31506, "例": 31507, "Ṭ": 31508, "鉄": 31509, "克": 31510, "☉": 31511, "™": 31512, "ɹ": 31513, "ἱ": 31514, "ⴰ": 31515, "然": 31516, "를": 31517, "ǧ": 31518, "報": 31519, "服": 31520, "Ď": 31521, "想": 31522, "‖": 31523, "ユ": 31524, "実": 31525, "载": 31526, "요": 31527, "ℚ": 31528, "波": 31529, "马": 31530, "状": 31531, "线": 31532, "유": 31533, "洋": 31534, "万": 31535, "진": 31536, "জ": 31537, "添": 31538, "球": 31539, "機": 31540, "支": 31541, "显": 31542, "拉": 31543, "ὑ": 31544, "送": 31545, "隊": 31546, "ธ": 31547, "处": 31548, "師": 31549, "⊂": 31550, "像": 31551, "়": 31552, "黒": 31553, "ց": 31554, "": 31555, "ủ": 31556, "只": 31557, "起": 31558, "段": 31559, "တ": 31560, "區": 31561, "選": 31562, "천": 31563, "業": 31564, "算": 31565, "广": 31566, "រ": 31567, "视": 31568, "秋": 31569, "因": 31570, "년": 31571, "ے": 31572, "输": 31573, "̱": 31574, "Մ": 31575, "∆": 31576, "康": 31577, "세": 31578, "思": 31579, "死": 31580, "聖": 31581, "민": 31582, "－": 31583, "头": 31584, "ർ": 31585, "∉": 31586, "車": 31587, "┃": 31588, "▇": 31589, "按": 31590, "⍵": 31591, "夢": 31592, "汉": 31593, "从": 31594, "ী": 31595, "题": 31596, "ˆ": 31597, "ἡ": 31598, "展": 31599, "省": 31600, "ུ": 31601, "葉": 31602, "호": 31603, "ਰ": 31604, "素": 31605, "関": 31606, "그": 31607, "；": 31608, "න": 31609, "页": 31610, "共": 31611, "宿": 31612, "态": 31613, "ན": 31614, "技": 31615, "乐": 31616, "控": 31617, "移": 31618, "影": 31619, "ụ": 31620, "ゆ": 31621, "ご": 31622, "್": 31623, "管": 31624, "ൾ": 31625, "╣": 31626, "戸": 31627, "⇔": 31628, "函": 31629, "ẓ": 31630, "尾": 31631, "场": 31632, "介": 31633, "": 31634, "育": 31635, "ර": 31636, "泉": 31637, "ൽ": 31638, "说": 31639, "换": 31640, "必": 31641, "紀": 31642, "མ": 31643, "ེ": 31644, "ợ": 31645, "ൻ": 31646, "宝": 31647, "気": 31648, "门": 31649, "令": 31650, "左": 31651, "漢": 31652, "若": 31653, "屋": 31654, "局": 31655, "打": 31656, "発": 31657, "问": 31658, "恋": 31659, "兵": 31660, "別": 31661, "ા": 31662, "Ս": 31663, "߬": 31664, "গ": 31665, "并": 31666, "ख": 31667, "ή": 31668, "节": 31669, "ʑ": 31670, "ץ": 31671, "Ḫ": 31672, "ℂ": 31673, "引": 31674, "统": 31675, "智": 31676, "̩": 31677, "ै": 31678, "电": 31679, "현": 31680, "✅": 31681, "赤": 31682, "断": 31683, "ね": 31684, "称": 31685, "শ": 31686, "身": 31687, "首": 31688, "付": 31689, "⅓": 31690, "ਸ": 31691, "連": 31692, "ზ": 31693, "官": 31694, "持": 31695, "奈": 31696, "御": 31697, "親": 31698, "군": 31699, "库": 31700, "秀": 31701, "址": 31702, "守": 31703, "活": 31704, "ལ": 31705, "ふ": 31706, "藏": 31707, "ស": 31708, "竹": 31709, "草": 31710, "結": 31711, "ා": 31712, "昌": 31713, "樹": 31714, "ள": 31715, "무": 31716, "হ": 31717, "ゼ": 31718, "̈": 31719, "շ": 31720, "勝": 31721, "足": 31722, "ရ": 31723, "위": 31724, "į": 31725, "Ἰ": 31726, "航": 31727, "陳": 31728, "业": 31729, "富": 31730, "雪": 31731, "आ": 31732, "再": 31733, "안": 31734, "默": 31735, "박": 31736, "용": 31737, "✿": 31738, "楽": 31739, "沢": 31740, "羅": 31741, "Ė": 31742, "ʎ": 31743, "忠": 31744, "错": 31745, "단": 31746, "면": 31747, "ķ": 31748, "桥": 31749, "雲": 31750, "该": 31751, "ṯ": 31752, "岩": 31753, "남": 31754, "ỹ": 31755, "专": 31756, "切": 31757, "店": 31758, "朱": 31759, "ף": 31760, "ず": 31761, "幸": 31762, "母": 31763, "ɫ": 31764, "々": 31765, "∷": 31766, "串": 31767, "击": 31768, "Ἐ": 31769, "設": 31770, "⊤": 31771, "ₗ": 31772, "經": 31773, "강": 31774, "ပ": 31775, "।": 31776, "ѐ": 31777, "ᾶ": 31778, "➖": 31779, "座": 31780, "씨": 31781, "ぶ": 31782, "Ţ": 31783, "云": 31784, "告": 31785, "変": 31786, "试": 31787, "隆": 31788, "개": 31789, "պ": 31790, "判": 31791, "劉": 31792, "˜": 31793, "ˠ": 31794, "编": 31795, "ณ": 31796, "ữ": 31797, "达": 31798, "Ě": 31799, "ܝ": 31800, "ြ": 31801, "ḷ": 31802, "右": 31803, "들": 31804, "ŝ": 31805, "ӏ": 31806, "్": 31807, "എ": 31808, "ற": 31809, "复": 31810, "看": 31811, "話": 31812, "坂": 31813, "尔": 31814, "衛": 31815, "զ": 31816, "차": 31817, "丸": 31818, "样": 31819, "鬼": 31820, "़": 31821, "학": 31822, "喜": 31823, "斯": 31824, "銀": 31825, "만": 31826, "Ξ": 31827, "ც": 31828, "群": 31829, "近": 31830, "塔": 31831, "ϊ": 31832, "ந": 31833, "む": 31834, "确": 31835, "索": 31836, "∇": 31837, "非": 31838, "望": 31839, "❯": 31840, "希": 31841, "ỳ": 31842, "甲": 31843, "越": 31844, "鳥": 31845, "麻": 31846, "雅": 31847, "拳": 31848, "ក": 31849, "溪": 31850, "测": 31851, "话": 31852, "池": 31853, "菜": 31854, "食": 31855, "터": 31856, "ਿ": 31857, "渡": 31858, "速": 31859, "ھ": 31860, "ರ": 31861, "陈": 31862, "健": 31863, "ো": 31864, "ක": 31865, "ὺ": 31866, "军": 31867, "庄": 31868, "红": 31869, "Ħ": 31870, "論": 31871, "Ÿ": 31872, "Έ": 31873, "ự": 31874, "孝": 31875, "頭": 31876, "飛": 31877, "˚": 31878, "▓": 31879, "ً": 31880, "‭": 31881, "么": 31882, "達": 31883, "ѫ": 31884, "巴": 31885, "洞": 31886, "貴": 31887, "项": 31888, "ദ": 31889, "ɵ": 31890, "̍": 31891, "ҡ": 31892, "种": 31893, "运": 31894, "식": 31895, "ྱ": 31896, "ḳ": 31897, "彦": 31898, "⥤": 31899, "书": 31900, "构": 31901, "米": 31902, "连": 31903, "操": 31904, "装": 31905, "과": 31906, "ぐ": 31907, "反": 31908, "̌": 31909, "仮": 31910, "员": 31911, "昭": 31912, "ശ": 31913, "兴": 31914, "客": 31915, "删": 31916, "ම": 31917, "ව": 31918, "პ": 31919, "ċ": 31920, "ഷ": 31921, "သ": 31922, "ᵉ": 31923, "居": 31924, "타": 31925, "𝓝": 31926, "थ": 31927, "現": 31928, "ˇ": 31929, "종": 31930, "助": 31931, "唐": 31932, "瀬": 31933, "ន": 31934, "微": 31935, "１": 31936, "Ġ": 31937, "ほ": 31938, "舞": 31939, "내": 31940, "중": 31941, "Ē": 31942, "导": 31943, "效": 31944, "방": 31945, "ḏ": 31946, "深": 31947, "梅": 31948, "料": 31949, "월": 31950, "每": 31951, "洲": 31952, "회": 31953, "茶": 31954, "败": 31955, "ഞ": 31956, "ể": 31957, "ヨ": 31958, "些": 31959, "双": 31960, "嘉": 31961, "모": 31962, "바": 31963, "ษ": 31964, "進": 31965, "음": 31966, "ญ": 31967, "丁": 31968, "故": 31969, "計": 31970, "遠": 31971, "교": 31972, "재": 31973, "候": 31974, "房": 31975, "명": 31976, "两": 31977, "ფ": 31978, "才": 31979, "합": 31980, "止": 31981, "番": 31982, "ɯ": 31983, "奇": 31984, "怪": 31985, "联": 31986, "역": 31987, "泰": 31988, "백": 31989, "ὀ": 31990, "げ": 31991, "べ": 31992, "边": 31993, "还": 31994, "黃": 31995, "왕": 31996, "收": 31997, "弘": 31998, "给": 31999 }, "merges": [ "▁ t", "e r", "i n", "▁ a", "e n", "o n", "▁t h", "▁ th", "e s", "▁ s", "▁ d", "a t", "o r", "a n", "▁ c", "i s", "r e", "i t", "▁t he", "▁th e", "▁ the", "a r", "l e", "▁ w", "▁ p", "o u", "a l", "▁ 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"▁la s", "▁ las", "▁n ull", "▁nu ll", "▁ null", "▁in form", "▁inf orm", "▁info rm", "▁ Л", "▁v ersion", "▁vers ion", "▁ version", "▁c hang", "▁ch ang", "▁cha ng", "ag er", "age r", "a ger", "▁C omm", "▁Com m", "▁Co mm", "▁ Comm", "л і", "us h", "u sh", "▁G e", "▁ Ge", "▁h igh", "▁hi gh", "▁ high", "▁in put", "▁ input", "og le", "o gle", "ro s", "r os", "bo x", "b ox", "ge n", "g en", "▁s te", "▁st e", "▁ ste", "▁l ocal", "▁lo cal", "▁loc al", "▁ local", "I m", "▁pro cess", "▁proc ess", "▁proces s", "▁ process", "ter nal", "tern al", "t ernal", "iz ed", "ize d", "i zed", "г и", "é t", "▁I nd", "▁In d", "▁ Ind", "▁o ch", "▁oc h", "▁ och", "l t", "▁col umn", "▁ column", "▁t ried", "▁tr ied", "▁tri ed", "▁comm and", "▁comma nd", "▁ command", "▁b est", "▁be st", "▁bes t", "▁ best", "as ter", "ast er", "aste r", "a ster", "з а", "▁p rim", "▁pr im", "▁pri m", "▁ prim", "▁m odel", "▁mod el", "▁mo del", "▁mode l", "▁ model", "▁ і", "▁th ose", "it ies", "iti es", "itie s", "i ties", "è re", "▁р е", "▁ ре", "ј е", "ш и", "qu es", "que s", "q ues", "▁A m", "▁ Am", "▁o wn", "▁ow n", "▁ own", "li n", "l in", "з и", "Val ue", "th ing", "t hing", "▁ ,", "▁T e", "▁ Te", "▁st ud", "▁ stud", "▁u m", "▁ um", "▁ser ver", "▁serv er", "▁serve r", "▁ server", "il le", "ill e", "i lle", "▁p ut", "▁pu t", "▁ put", "at iv", "ati v", "g y", "ов и", "о ви", "ra f", "r af", "ов о", "о во", "▁wur de", "▁W hen", "▁Wh en", "▁Whe n", "▁ When", "▁d iv", "▁di v", "▁ div", "an ts", "ant s", "▁t er", "▁te r", "▁ ter", "▁part ic", "▁parti c", "▁ т", "▁D o", "▁ Do", "▁N o", "▁ No", "se rt", "ser t", "s ert", "id o", "i do", "math cal", "ad e", "a de", "▁I I", "▁ II", "le ar", "lea r", "l ear", "og raph", "o graph", "en se", "ens e", "▁r ow", "▁ro w", "▁ row", "nu m", "n um", "▁pos sible", "▁poss ible", "▁possib le", "▁ possible", "▁s ince", "▁sin ce", "▁ since", "▁B o", "▁ Bo", "ct ions", "ction s", "▁I m", "▁ Im", "O R", "ц і", "▁i de", "▁id e", "▁ ide", "ma p", "m ap", "▁cor rect", "▁corre ct", "▁corr ect", "▁ correct", "ve s", "v es", "ph p", "p hp", "▁out put", "▁ output", "▁P h", "▁ Ph", "A L", "ar ed", "are d", "a red", "\\ \\", "▁im age", "▁imag e", "▁ image", "es ch", "esc h", "e sch", "ж и", "▁con f", "▁ conf", "po r", "p or", "qu ery", "que ry", "quer y", "ur es", "ure s", "u res", "iu m", "i um", "en ds", "end s", "▁A b", "▁ Ab", "SB N", "і д", "et her", "eth er", "ethe r", "e ther", "pt ions", "ption s", "it u", "i tu", "li b", "l ib", "n s", "k i", "▁work ing", "▁wor king", "▁ working", "▁c omo", "▁com o", "▁co mo", "▁ como", "▁T hen", "▁The n", "▁Th en", "▁ Then", "M L", "ke y", "k ey", "cl ass", "cla ss", "c lass", "op le", "o ple", "itt le", "▁m atch", "▁mat ch", "▁ match", "way s", "wa ys", "w ays", "math bb", "▁re quire", "▁requ ire", "▁ require", "al t", "a lt", "▁v is", "▁vi s", "▁ vis", "▁b l", "▁ bl", "▁c alled", "▁cal led", "▁call ed", "▁ called", "It em", "I tem", "ur a", "u ra", "ve c", "v ec", "em e", "e me", "▁d ella", "▁de lla", "▁del la", "▁dell a", "em bre", "emb re", "ur g", "u rg", "S e", "▁re quest", "▁requ est", "▁req uest", "▁ request", "is che", "isch e", "isc he", "i sche", "▁p ort", "▁po rt", "▁por t", "▁ port", "▁inst ead", "= \\", "▁ У", "ho r", "h or", "en te", "ent e", "um e", "u me", "er d", "e rd", "с а", "▁w hy", "▁wh y", "▁ why", "ri st", "ris t", "r ist", "▁p erson", "▁per son", "▁pers on", "▁ person", "▁. ..", "▁.. .", "▁ ...", "▁p rivate", "▁priv ate", "▁ private", "▁t ot", "▁to t", "▁ tot", "ph a", "p ha", "if t", "i ft", "it a", "i ta", "lo c", "l oc", "▁o ld", "▁ol d", "▁ old", "о н", "▁n el", "▁ne l", "▁ nel", "' ]", "t i", "ie t", "i et", "ci te", "cit e", "c ite", "ple ment", "pl ement", "p lement", "▁a bove", "▁ab ove", "▁ above", "k s", "re ady", "read y", "rea dy", "▁c ome", "▁com e", "▁co me", "▁ come", "se ction", "sec tion", "sect ion", "s ection", "▁P ol", "▁Po l", "▁ Pol", "▁w rit", "▁wr it", "▁ writ", "▁htt ps", "▁http s", "▁ https", "▁$ $", "▁ $$", "▁ »", "▁bu ild", "▁ build", "it o", "i to", "▁cons ider", "▁consid er", "af t", "a ft", "Ap p", "A pp", ", \\", "ind ows", "indow s", "indo ws", "com m", "co mm", "c omm", "▁ ;", "gr ound", "gro und", "g round", "▁p lace", "▁pl ace", "▁pla ce", "▁ place", "B y", "▁pro ject", "▁ project", "Ob ject", "Obj ect", "O bject", "▁re pr", "▁rep r", "en ces", "ence s", "enc es", "ind ow", "indo w", "z t", "▁f iles", "▁file s", "▁fil es", "▁fi les", "▁ files", "c z", "iv ity", "ivi ty", "i vity", "▁in it", "▁i nit", "▁ init", "▁p rob", "▁pro b", "▁pr ob", "▁ prob", "▁s k", "▁ sk", "or th", "ort h", "im ent", "ime nt", "imen t", "i ment", "ou ble", "at al", "ata l", "a tal", "ir c", "i rc", "▁ è", "▁b re", "▁br e", "▁ bre", "is ta", "ist a", "i sta", "in put", "▁ И", "но й", "su m", "s um", "pa th", "pat h", "p ath", "▁c our", "▁co ur", "▁cou r", "▁t oo", "▁to o", "▁A d", "▁ Ad", "▁G u", "▁ Gu", "▁f alse", "▁fal se", "▁ false", "▁f un", "▁fu n", "▁ fun", "▁с т", "▁ ст", "oo d", "o od", "è s", "▁e nc", "▁en c", "▁ enc", "bo l", "b ol", "r l", "ar get", "arg et", "or der", "ord er", "orde r", "▁me an", "▁ mean", "п е", "ig en", "ige n", "i gen", "▁п ре", "▁пр е", "▁ пре", "wid th", "w idth", "; \r", "it or", "ito r", "i tor", "▁st ate", "▁stat e", "▁sta te", "▁ state", "▁gre at", "en n", "e nn", "bi n", "b in", "E r", "Mo d", "M od", "o z", "▁w on", "▁wo n", "▁ won", "▁f act", "▁fa ct", "▁fac t", "▁ fact", "▁j ava", "▁ja va", "▁jav a", "▁ java", "▁Un ivers", "▁ Univers", "▁c ap", "▁ca p", "▁ cap", "is tor", "ist or", "isto r", "i stor", "} (", "k u", "it her", "ith er", "i ther", "al es", "ale s", "a les", "▁o u", "▁ ou", "ro ss", "ros s", "r oss", "▁t ake", "▁tak e", "▁ta ke", "▁ take", "ri x", "r ix", "lo b", "l ob", "▁e ine", "▁ein e", "as es", "ase s", "▁a ccess", "▁acc ess", "▁ac cess", "▁ access", "it é", "i té", "is tr", "ist r", "i str", "iz ation", "iza tion", "▁app ro", "▁ap pro", "▁ appro", "ba ll", "bal l", "b all", "▁m ak", "▁ma k", "} ^", "▁C ons", "▁Con s", "▁Co ns", "▁ Cons", "pr ess", "pre ss", "pres s", "p ress", "se rv", "ser v", "s erv", "() .", "( ).", "a f", "▁re f", "▁r ef", "▁ ref", ") \\", "▁cont in", "s u", "iv er", "ive r", "i ver", "▁c ond", "▁con d", "▁co nd", "▁ cond", "▁ex pect", "▁exp ect", "▁ expect", "▁char act", "▁cha ract", "ber t", "be rt", "b ert", "el t", "e lt", "ter s", "te rs", "t ers", "scri pt", "scr ipt", "s cript", "▁E d", "▁ Ed", "ap t", "a pt", "') ;", "' );", "pr int", "▁s ize", "▁si ze", "▁ size", "▁s ich", "▁si ch", "▁sic h", "fa ce", "fac e", "f ace", "en den", "end en", "ende n", "▁A mer", "▁Am er", "▁ Amer", "if ied", "ifi ed", "ifie d", "ó w", "▁S u", "▁ Su", "te s", "t es", "me d", "m ed", "▁R eg", "▁Re g", "▁ Reg", "so le", "sol e", "s ole", "▁in clud", "▁incl ud", "▁inclu d", "▁ includ", "in i", "i ni", "in ci", "inc i", "▁p la", "▁pl a", "▁ pla", "▁l eft", "▁le ft", "▁ left", "d f", "Pa r", "P ar", "▁A ll", "▁Al l", "▁ All", "▁o cc", "▁oc c", "▁ occ", "▁A t", "▁ At", "▁c r", "▁ cr", "Q u", "▁g iven", "▁giv en", "▁give n", "▁gi ven", "▁S ystem", "▁Syst em", "▁ System", "ic an", "ica n", "i can", "▁f inal", "▁fin al", "▁fi nal", "▁ final", "it ions", "ition s", "iti ons", "▁б ы", "▁ бы", "▁per form", "▁perf orm", "▁ perform", "A N", "▁M e", "▁ Me", "ur o", "u ro", "▁T hat", "▁Th at", "▁ That", "г ра", "▁П о", "▁ По", "▁в и", "▁ ви", "ab ly", "abl y", "▁pr esent", "▁pre sent", "▁pres ent", "▁ present", "du ct", "d uct", "ri c", "r ic", "▁E ng", "▁En g", "▁ Eng", "tr y", "t ry", "▁l ar", "▁la r", "▁ lar", "b l", "id d", "i dd", "▁ä r", "▁ är", "or a", "o ra", "L L", "os s", "o ss", "▁I SBN", "▁ ISBN", "▁th ree", "▁thr ee", "▁thre e", "▁ three", "j o", "n í", "r c", "▁f ar", "▁fa r", "▁ far", "▁N ot", "▁No t", "▁ Not", "▁l ittle", "▁litt le", "di s", "d is", "at i", "a ti", "fun ction", "func tion", "f unction", "▁a ble", "▁ab le", "▁ able", "le ss", "les s", "l ess", "с о", "▁p ath", "▁pat h", "▁pa th", "▁ path", "▁p res", "▁pr es", "▁pre s", "▁ pres", "lo se", "los e", "l ose", "P I", "▁iss ue", "▁issu e", "▁ issue", "ack age", "ti me", "tim e", "t ime", "ig e", "i ge", "am s", "a ms", "▁C l", "▁ Cl", "ail s", "ai ls", "a ils", "al k", "i i", "ш е", "pe n", "p en", "Q L", "▁e as", "R L", "ce l", "c el", "▁s l", "▁ sl", "▁a sk", "▁as k", "▁ ask", "▁n om", "▁no m", "▁ nom", "▁t op", "▁to p", "▁ top", "id es", "ide s", "i des", "in dex", "ind ex", "inde x", "é m", "▁h app", "▁ha pp", "o x", "c d", "▁b etter", "▁bet ter", "▁lo ad", "▁ load", "ad os", "ado s", "ze n", "z en", "▁c e", "▁ ce", "▁f a", "▁ fa", "▁J ohn", "▁Joh n", "▁Jo hn", "▁ John", "IM A", "I MA", "▁B ar", "▁Ba r", "▁ Bar", "over flow", "▁д е", "▁ де", "ne ss", "nes s", "n ess", "ce r", "c er", "▁H ere", "▁He re", "▁Her e", "▁ Here", "re t", "r et", "▁s z", "▁ sz", "amb da", "op y", "o py", "ur l", "u rl", "p y", "r t", "▁under stand", "a ł", "he r", "h er", "# #", "▁ch ild", "▁chi ld", "▁ child", "▁ex ec", "▁ exec", "▁app lication", "▁applic ation", "▁ application", "▁st ruct", "▁str uct", "▁stru ct", "▁ struct", "▁ я", "Fil e", "Fi le", "F ile", "▁c ert", "▁ce rt", "▁cer t", "▁ cert", "is on", "iso n", "i son", "▁vari able", "▁ variable", "D E", "r s", "▁re ally", "▁real ly", "Po rt", "P ort", "b a", "▁B er", "▁Be r", "▁ Ber", "▁in te", "▁int e", "▁ inte", "▁st atic", "▁stat ic", "▁stati c", "▁ static", "▁con fig", "▁conf ig", "▁ config", "▁S he", "▁Sh e", "▁ She", "est ions", "estion s", "esti ons", "▁p lus", "▁pl us", "▁ plus", "▁h ab", "▁ha b", "▁ hab", "op e", "o pe", "▁m us", "▁mu s", "▁ mus", "▁c ount", "▁co unt", "▁coun t", "▁cou nt", "▁ count", "M E", "▁su pport", "▁supp ort", "▁sup port", "▁ support", "▁pe ople", "▁ people", "▁b eh", "▁be h", "▁al ready", "T r", "▁d one", "▁do ne", "▁don e", "▁ done", "de m", "d em", "si ze", "s ize", "al pha", "alph a", "▁d isc", "▁di sc", "▁dis c", "] )", "▁M an", "▁Ma n", "▁ Man", "▁m il", "▁mi l", "▁ mil", "▁st and", "▁sta nd", "▁stan d", "▁ stand", "▁gr oup", "▁gro up", "▁ group", "▁sm all", "▁ small", "▁m ag", "▁ma g", "▁ mag", "ст ь", "с ть", "▁de fault", "▁def ault", "▁ default", "▁sing le", "▁sin gle", "▁ single", "lin k", "l ink", "cl ude", "clud e", "▁e ar", "▁ ear", "il ar", "ila r", "i lar", "** **", "*** *", "* ***", "▁f ix", "▁fi x", "▁ fix", "le y", "l ey", "▁p as", "▁pa s", "▁ pas", "ни й", "iss ion", "▁im plement", "▁imp lement", "▁impl ement", "it ch", "▁го да", "▁год а", "▁al ways", "▁ always", "▁J ah", "▁Ja h", "pr ing", "p ring", "ç ão", "pl ate", "pla te", "p late", "▁de scri", "▁des cri", "▁desc ri", "▁h ead", "▁he ad", "▁ head", "in it", "ini t", "i nit", "og raf", "▁qu ery", "▁que ry", "▁quer y", "▁ query", "iv ed", "ive d", "i ved", "▁in g", "▁i ng", "▁ ing", "pt y", "p ty", "h a", "▁m ov", "▁mo v", "▁ mov", "▁ э", "et te", "ett e", "e tte", "il y", "i ly", "▁g ot", "▁go t", "▁ got", "il ed", "ile d", "i led", "ic ro", "i cro", "▁w r", "▁ wr", "р я", "▁n ever", "▁ne ver", "▁nev er", "or es", "ore s", "o res", "▁b as", "▁ba s", "▁ bas", "io s", "i os", "la ck", "lac k", "l ack", "ain t", "ai nt", "a int", "vi ous", "v ious", "▁g ive", "▁giv e", "▁gi ve", "id ad", "ida d", "E n", "ны й", "н ый", "ta ble", "tab le", "t able", "▁Н а", "▁ На", "▁p at", "▁pa t", "▁ pat", "то р", "т ор", "an gu", "ang u", "lo y", "l oy", "▁s eg", "▁se g", "▁ seg", "ar ray", "arr ay", "▁F l", "▁ Fl", "▁in dex", "▁ind ex", "▁inde x", "▁ index", "▁s w", "▁ sw", "IMA GE", "IM AGE", "▁k m", "▁ km", "б и", "Cl ass", "Cla ss", "C lass", "en a", "e na", "ме н", "м ен", "com p", "co mp", "c omp", "at us", "atu s", "ra p", "r ap", "▁L ist", "▁Li st", "▁Lis t", "▁ List", "Er ror", "Err or", "E rror", "▁t yp", "▁ty p", "▁ typ", "▁м а", "▁ ма", "c s", "' :", "j i", "▁How ever", "▁ However", "▁т е", "▁ те", "▁be low", "▁bel ow", "▁ below", "▁A pp", "▁Ap p", "▁ App", "щ е", "} _", "bu m", "b um", "vi r", "v ir", "ée s", "é es", "▁re cord", "▁rec ord", "▁ record", "ta in", "t ain", "le m", "l em", "it al", "ita l", "i tal", "▁i mp", "▁im p", "▁ imp", "eg o", "e go", "▁o d", "▁ od", "▁re ce", "▁rec e", "▁ rece", "mi t", "m it", "ff ic", "f fic", "stack overflow", "ie ve", "iev e", "▁ З", "▁n ov", "▁no v", "▁ nov", "ц е", "▁In tern", "▁Int ern", "▁Inter n", "▁ Intern", "b u", "▁s ugg", "▁su gg", "▁sug g", "▁l oop", "▁lo op", "▁ loop", "ri de", "rid e", "r ide", "▁$ (", "▁ $(", "▁s uper", "▁su per", "▁sup er", "▁ super", "ri d", "r id", "ны х", "н ых", "▁P er", "▁Pe r", "▁ Per", "▁d om", "▁do m", "▁ dom", "= '", "ut sch", "uts ch", "le n", "l en", "▁w rite", "▁writ e", "▁wr ite", "▁ write", "▁in v", "▁ inv", "ou th", "out h", "o uth", "▁H er", "▁He r", "▁ Her", "▁y ears", "▁year s", "▁ye ars", "▁or iginal", "▁orig inal", "▁origin al", "▁ original", "eg a", "e ga", "▁S te", "▁St e", "▁ Ste", "▁se ems", "▁see ms", "▁seem s", "é g", "▁n ext", "▁ne xt", "▁ next", "ed er", "ede r", "e der", "▁N e", "▁ Ne", "av as", "ava s", "a vas", "ific ation", "ifi cation", "ifica tion", "Ex ception", "▁D er", "▁De r", "▁ Der", "▁v e", "▁ ve", "at ic", "ati c", "ha t", "h at", "br ary", "bra ry", "re turn", "ret urn", "ur ch", "is ion", "isi on", "m i", "oi nt", "oin t", "o int", "▁d ay", "▁da y", "▁ day", "ic tion", "ict ion", "i ction", "á l", "▁é s", "▁ és", "▁th ough", "▁thou gh", "▁ though", "ac tion", "act ion", "a ction", "í t", "un gen", "ung en", "unge n", "ou rs", "our s", "o urs", "▁s cript", "▁scr ipt", "▁scri pt", "▁ script", "▁in formation", "▁inform ation", "▁ information", "▁mult i", "▁mul ti", "▁ multi", "▁\\ \\", "▁ \\\\", "st er", "ste r", "s ter", "к е", "A C", "ci es", "cie s", "c ies", "▁dis play", "▁disp lay", "▁ display", "om an", "oma n", "o man", "Tim e", "T ime", "iu s", "i us", ")) ;", ") );", "tr e", "t re", "▁l im", "▁li m", "▁ lim", "at ely", "ate ly", "atel y", "é d", "is te", "ist e", "i ste", "▁с а", "▁ са", "pos t", "po st", "p ost", "ue l", "u el", "im g", "▁ ч", "ск а", "с ка", "el d", "e ld", "pp er", "ppe r", "p per", "ul a", "u la", "▁gener al", "▁gen eral", "▁gene ral", "▁ general", "A l", "For m", "F orm", "▁u pon", "▁up on", "z o", "am ente", "ament e", "amen te", "a mente", "▁p rom", "▁pro m", "▁pr om", "▁ prom", "▁ ü", "le x", "l ex", "▁t urn", "▁tu rn", "▁tur n", "▁ turn", "▁м е", "▁ ме", "en tion", "ent ion", "enti on", "ле н", "л ен", "▁a f", "▁ af", "ic le", "i cle", "ст в", "с тв", "▁F il", "▁ Fil", "▁ Ф", "ava script", "avas cript", "Ma n", "M an", "ar a", "a ra", "wa re", "war e", "w are", "al ign", "ali gn", "an gle", "ang le", "▁S c", "▁ Sc", "un ic", "uni c", "u nic", "▁f ran", "▁fr an", "▁fra n", "▁ fran", "U n", "z i", "me t", "m et", "Ad d", "A dd", "▁p ub", "▁pu b", "▁ pub", "ко в", "к ов", "▁g en", "▁ge n", "▁ gen", "▁p od", "▁po d", "▁ pod", "▁s um", "▁su m", "▁ sum", "▁h aving", "▁ha ving", "▁hav ing", "▁a vec", "▁av ec", "▁ave c", "s l", "▁f ig", "▁fi g", "▁ fig", "▁R es", "▁Re s", "▁ Res", "Dat e", "Da te", "D ate", "ul es", "ule s", "u les", "wi th", "w ith", "ски й", "с кий", "g u", "E T", "▁b ro", "▁br o", "▁ bro", "ri e", "r ie", "ap s", "a ps", "en ding", "end ing", "endi ng", "ma il", "mai l", "m ail", "oo k", "o ok", "▁su ccess", "▁succ ess", "▁suc cess", "▁ success", "ber g", "be rg", "b erg", "▁d eb", "▁de b", "▁ deb", "el ta", "elt a", "() `", "( )`", "ent ial", "enti al", "fr ame", "fra me", "fram e", "f rame", "Ke y", "K ey", "in n", "i nn", "▁sim ple", "▁simp le", "▁simpl e", "▁ simple", "iv al", "iva l", "i val", "▁c are", "▁car e", "▁ca re", "▁ care", "▁W eb", "▁We b", "▁ Web", "\") .", "\" ).", ">< /", "> ", "▁ />", "k o", "▁ex per", "▁exp er", "▁se par", "▁sep ar", "▁ separ", "y l", "ou rn", "our n", "o urn", "▁d ev", "▁de v", "▁ dev", "▁a uch", "▁au ch", "▁auc h", "▁ auch", "▁b lock", "▁bl ock", "▁blo ck", "▁ block", "bo ok", "b ook", "▁m ap", "▁ma p", "▁ map", "il la", "ill a", "i lla", "▁com put", "▁comp ut", "▁ comput", "▁s pace", "▁sp ace", "▁spac e", "▁ space", "res ult", ") }", "▁e cho", "▁ec ho", "▁ echo", "con fig", "conf ig", "h i", "▁lar ge", "▁larg e", "▁ large", "▁w idth", "▁wid th", "▁ width", "▁G o", "▁ Go", "ma t", "m at", "▁d iff", "▁di ff", "▁dif f", "▁ diff", "▁k ind", "▁ki nd", "▁kin d", "▁ kind", "an ces", "ance s", "anc es", "yn am", "yna m", "y nam", "▁col or", "▁co lor", "▁ color", "In t", "I nt", "so l", "s ol", "▁p i", "▁ pi", "▁char acter", "▁charact er", "▁ character", "om ent", "ome nt", "omen t", "o ment", "▁res ponse", "▁respons e", "▁ response", "ig ma", "ward s", "war ds", "w ards", "ar row", "arr ow", "с у", "ti es", "t ies", "▁ü ber", "▁ über", "Im age", "y d", "▁п ере", "▁пер е", "▁пе ре", "▁ пере", "▁n ode", "▁no de", "▁nod e", "▁ node", "▁it em", "▁i tem", "▁ item", "ach ine", "achi ne", "im a", "i ma", "▁v a", "▁ va", "▁appro ach", "▁w er", "▁we r", "▁ wer", "▁ч е", "▁ че", "O n", "ol low", "oll ow", "он а", "о на", "ct ed", "c ted", "ur ed", "ure d", "u red", "Cont roller", "Control ler", "li ed", "lie d", "l ied", "▁j o", "▁ jo", "▁d al", "▁da l", "▁ dal", "un k", "▁ î", "st art", "sta rt", "star t", "ol a", "o la", "▁com pon", "▁comp on", "I C", "bi t", "b it", "▁b ase", "▁bas e", "▁ba se", "▁ base", "п у", "▁id ea", "▁ide a", "▁ idea", "▁d ire", "▁di re", "▁dir e", "▁ dire", "▁r ad", "▁ra d", "▁ rad", "gr oup", "gro up", "▁W ith", "▁Wi th", "▁Wit h", "▁ With", "ser ver", "serv er", "serve r", "si de", "s ide", "si ng", "sin g", "s ing", "▁d ies", "▁di es", "▁die s", "▁n ear", "▁ne ar", "▁ near", "▁v oor", "▁vo or", "▁ voor", "▁arg ument", "▁ argument", "▁} ,", "▁ },", "▁l and", "▁la nd", "▁lan d", "▁ land", "▁n ames", "▁name s", "▁na mes", "▁nam es", "▁ names", "▁o ption", "▁op tion", "▁opt ion", "▁ option", "ith ub", "pp ed", "ppe d", "p ped", "au g", "a ug", "▁l inks", "▁link s", "▁lin ks", "▁ links", "▁f ull", "▁fu ll", "▁ful l", "▁ full", "▁s itu", "▁si tu", "▁sit u", "▁con sole", "▁cons ole", "▁ console", "▁e tc", "▁et c", "▁ etc", "au x", "a ux", "▁C or", "▁Co r", "▁ Cor", "icro soft", "▁c ame", "▁cam e", "▁ca me", "lo cal", "loc al", "l ocal", "▁k nown", "▁kn own", "▁know n", "▁ known", "▁multi ple", "▁multip le", "▁ multiple", "angu age", "▁t otal", "▁to tal", "▁tot al", "▁ total", "ol ogy", "olog y", "olo gy", "ä t", "▁ Х", "▁f re", "▁fr e", "▁ fre", "▁t en", "▁te n", "▁ ten", "ide o", "▁b es", "▁be s", "▁ bes", "tr ue", "Qu ery", "Que ry", "om m", "o mm", "▁A rt", "▁Ar t", "▁ Art", "▁ke ep", "▁ keep", "▁Un iversity", "▁Univers ity", "re ate", "rea te", "pp ort", "ppo rt", "p port", "▁p ython", "▁ python", "tr a", "t ra", "ect or", "ec tor", "e ctor", "р і", "op h", "o ph", "▁c onc", "▁con c", "▁co nc", "▁f our", "▁fo ur", "▁fou r", "▁ four", "vi ron", "vir on", "▁v ia", "▁vi a", "▁ via", "? \"", "im age", "ima ge", "ol l", "o ll", "ны е", "н ые", "▁con text", "▁cont ext", "▁conte xt", "▁ context", "▁s em", "▁se m", "▁ sem", ". _", "▁e ng", "▁en g", "▁ eng", "ma r", "m ar", "A D", "▁m or", "▁mo r", "▁ mor", "▁C al", "▁Ca l", "▁ Cal", "▁c ell", "▁ce ll", "▁cel l", "▁ cell", "im al", "ima l", "i mal", "AT E", "A TE", "▁in f", "▁ inf", "ö n", "uf fer", "uff er", "s q", ".. ..", "... .", ". ...", "▁z ur", "▁zu r", "W ith", "ра н", "р ан", "ch n", "c hn", "▁d oor", "▁do or", "▁ door", "cont ent", "▁m iss", "▁mi ss", "▁mis s", "▁ miss", "▁s imp", "▁sim p", "▁si mp", "▁ simp", "á r", "ir a", "i ra", "▁h at", "▁ha t", "▁ hat", "Te st", "T est", "▁c ertain", "▁cert ain", "▁cer tain", "▁ certain", "N S", "▁c ho", "▁ch o", "▁ cho", "▁ad v", "▁ adv", "wh ere", "w here", "▁lo oking", "▁look ing", "▁ looking", "▁t imes", "▁time s", "▁tim es", "▁ti mes", "▁ times", "ни х", "н их", "ut o", "u to", "▁ É", "ca n", "c an", "ho st", "hos t", "h ost", "▁( *", "▁ (*", "lo at", "▁n icht", "▁ni cht", "▁nic ht", "▁nich t", "Fi eld", "F ield", "bu rg", "bur g", "b urg", "con st", "cons t", "ad es", "ade s", "a des", "▁M us", "▁Mu s", "▁ Mus", "▁n othing", "▁not hing", "▁no thing", "▁ nothing", "▁in cre", "▁inc re", "▁M in", "▁Mi n", "▁ Min", "▁p ower", "▁po wer", "▁pow er", "▁ power", "▁Amer ican", "▁America n", "▁ American", "l n", "val id", "un gs", "ung s", "▁N ational", "▁Nat ional", "▁Nation al", "▁ National", "▁S an", "▁Sa n", "▁ San", "▁Y ork", "Re quest", "ch ar", "cha r", "c har", "▁Z e", "▁ Ze", "but ton", "b utton", "▁a lg", "▁al g", "▁ alg", "SO N", "S ON", "▁a p", "▁ ap", "uf f", "u ff", "ab ility", "abil ity", "е м", "▁any thing", "el a", "e la", "() )", "( ))", "б а", "amp ion", "ampio n", "▁p ot", "▁po t", "▁ pot", "▁f ut", "▁fu t", "ail able", "▁p rop", "▁pro p", "▁pr op", "▁ prop", "\" ]", "▁l ess", "▁le ss", "▁les s", "▁ less", "la g", "l ag", "▁A ugust", "▁Aug ust", "▁ August", "I t", "▁p lease", "▁ple ase", "▁st yle", "▁sty le", "▁ style", "▁Al so", "▁Als o", "▁ Also", "b t", "▁pro bably", "▁prob ably", "▁O ne", "▁On e", "▁ One", "▁p oss", "▁po ss", "▁pos s", "▁ poss", "U I", "ui t", "u it", "▁W est", "▁We st", "▁Wes t", "▁ West", "h n", "+ \\", "But ton", "Butt on", "B utton", "js on", "j son", "er r", "e rr", "ra me", "ram e", "r ame", "do m", "d om", "il on", "ilo n", "i lon", "al f", "▁c lient", "▁cl ient", "▁cli ent", "▁ client", "▁cont inu", "▁contin u", "▁ continu", "x ml", "pe c", "p ec", "ad or", "ado r", "a dor", "l s", "▁how ever", "▁A ny", "▁An y", "▁ Any", "än d", "ä nd", "math rm", "▁u rl", "▁ur l", "▁ url", "▁b ook", "▁bo ok", "▁ book", "▁g l", "▁ gl", "iv es", "ive s", "i ves", "g i", "▁t ro", "▁tr o", "▁U S", "▁ US", "po int", "p oint", "op en", "ope n", "o pen", "▁c ur", "▁cu r", "▁ cur", "▁e ra", "▁er a", "▁ era", "▁part icular", "▁partic ular", "▁particul ar", "▁parti cular", "▁H T", "▁ HT", "oo t", "o ot", "el lo", "ell o", "lo bal", "lob al", "▁a ction", "▁act ion", "▁ac tion", "▁ action", "▁I nt", "▁In t", "▁ Int", "▁in clude", "▁incl ude", "▁includ e", "▁inclu de", "▁ include", "▁el ements", "▁element s", "▁ele ments", "▁elem ents", "▁ elements", "на я", "ar ds", "ard s", "▁B l", "▁ Bl", "▁h um", "▁hu m", "▁ hum", "fr om", "f rom", "ch ange", "chan ge", "▁function s", "▁fun ctions", "▁ functions", "he n", "h en", "Ser vice", "Serv ice", "▁he ight", "▁ height", "▁L and", "▁La nd", "▁Lan d", "▁ Land", "ia s", "i as", "g s", "ió n", "i ón", "ло в", "л ов", "no de", "n ode", ". ”", "ha nd", "han d", "h and", "▁б у", "▁ бу", "▁a mb", "▁am b", "▁ amb", "▁L u", "▁ Lu", "▁th row", "▁thr ow", "▁thro w", "▁ throw", "▁m ot", "▁mo t", "▁ mot", "▁A ct", "▁Ac t", "▁ Act", "▁w orld", "▁wor ld", "▁ world", "_ \\", "ba se", "bas e", "b ase", "▁C o", "▁ Co", "▁ar ch", "▁arc h", "▁ arch", "▁## ##", "▁### #", "▁ ####", "ge d", "g ed", "pr il", "p ril", "ol der", "old er", "o lder", "Mod el", "Mode l", "Mo del", "M odel", "▁sever al", "li e", "l ie", "che ck", "c heck", "] {", "con s", "co ns", "c ons", "▁T ra", "▁Tr a", "▁ Tra", "he ck", "▁l east", "▁le ast", "do wn", "d own", "eb ru", "e bru", "De f", "D ef", "par am", "pa ram", "para m", "p aram", "is cher", "isch er", "ische r", "isc her", "i scher", "▁c as", "▁ca s", "▁ cas", "C H", "▁add ress", "▁addr ess", "▁ address", "▁ра з", "▁ раз", "uf en", "ufe n", "u fen", "ur ope", "uro pe", "urop e", "е й", "▁b ound", "▁bo und", "▁bou nd", "▁ bound", "C O", "▁A ng", "▁An g", "▁ Ang", "▁M a", "▁ Ma", "In dex", "Ind ex", "co re", "cor e", "c ore", "ou ch", "ouc h", "o uch", "at abase", "ata base", "rib ution", "ribu tion", "doc ument", "d ocument", "L e", "}_ {", "} _{", "ve rn", "ver n", "v ern", "▁stat ement", "▁state ment", "▁ statement", "▁B rit", "▁Br it", "on o", "o no", "ps ilon", "psi lon", "▁le vel", "▁lev el", "▁ level", "▁pro duct", "▁produ ct", "▁prod uct", "▁ product", "I S", "▁c ourse", "▁cour se", "▁cours e", "▁ course", "▁M r", "▁ Mr", "> \r", "▁back ground", "▁ background", "▁re t", "▁r et", "▁ ret", "er ing", "eri ng", "e ring", "mo st", "mos t", "m ost", "сь ко", "ськ о", "▁th read", "▁thr ead", "▁thre ad", "▁ thread", "it ional", "ition al", "iti onal", "it es", "ite s", "i tes", "P l", "▁d os", "▁do s", "g a", "da y", "d ay", "▁G ener", "▁Ge ner", "▁Gen er", "▁Gene r", "▁ Gener", "▁t w", "▁ tw", "A d", "\"> <", "\" ><", "▁( $", "▁ ($", "▁m oment", "▁mo ment", "▁mom ent", "tit le", "t itle", "cre ate", "c reate", "vers ion", "v ersion", "Man ager", "▁f ur", "▁fu r", "▁ fur", "pp ing", "ppi ng", "p ping", "ij n", "о с", "▁r 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"B ox", "ap ter", "apt er", "▁comp let", "▁comple t", "▁compl et", "ни к", "ma x", "m ax", "ob ject", "obj ect", "o bject", "( {", "img ur", "it ive", "iti ve", "un ch", "unc h", "▁S ub", "▁Su b", "▁ Sub", "en de", "end e", "e nde", "г у", "ateg ory", "ategor y", "т ы", "ia no", "ian o", "i ano", "▁u pd", "▁up d", "▁A ust", "▁Aus t", "▁Au st", "}{ \\", "} {\\", "to p", "t op", "la s", "l as", "pi s", "p is", "in ess", "ine ss", "ines s", "i ness", "▁{ \r", "▁ {\r", "▁ Е", "G r", "▁A S", "▁ AS", "▁в е", "▁ ве", "th ers", "ther s", "the rs", "▁d efined", "▁def ined", "▁define d", "▁defin ed", "▁ defined", "az ione", "azi one", "a zione", "▁o ffic", "▁of fic", "▁off ic", "▁au tom", "▁aut om", "▁auto m", "▁ autom", "ü n", "▁b row", "▁br ow", "▁bro w", "▁ brow", "▁s erv", "▁se rv", "▁ser v", "▁ serv", "▁re move", "▁rem ove", "▁remov e", "▁ remove", "ir o", "i ro", "▁B ibli", "▁Bib li", "E D", "▁w hole", "▁wh ole", "▁who le", "▁ ш", "▁J ava", "▁Ja va", "▁ Java", "▁z um", "▁zu m", "u a", "p m", "de v", "d ev", "к ра", "ol ds", "old s", "▁W ar", "▁Wa r", "ä n", "pa ss", "pas s", "p ass", "u z", "[ \"", "▁t ri", "▁tr i", "▁ tri", "is ed", "ise d", "i sed", "х а", "▁mem ory", "▁memor y", "▁ memory", "▁P ort", "▁Po rt", "▁Por t", "▁ Port", "op er", "ope r", "o per", "U p", "▁Th ank", "▁ Thank", "▁M ich", "▁Mi ch", "▁Mic h", "▁ Mich", "yc h", "y ch", "bo ard", "boa rd", "б у", "In st", "▁b egin", "▁be gin", "▁beg in", "▁ begin", "in ation", "ina tion", "▁M od", "▁Mo d", "▁ Mod", "_ ,", "▁D en", "▁De n", "▁ Den", "op tion", "opt ion", "o ption", "▁con struct", "▁const ruct", "▁constru ct", "▁ construct", "▁J ust", "▁Ju st", "▁ Just", "Ma p", "M ap", "ru n", "r un", "▁re spect", "▁res pect", "▁resp ect", "ha m", "h am", "ма н", "м ан", "im edia", "ime dia", "i media", "▁a pply", "▁app ly", "▁ap ply", "▁ apply", "cri ption", "cript ion", "ma in", "mai n", "m ain", "▁К а", "▁ Ка", "oi d", "o id", "Co de", "C ode", "} ;", "In fo", "Inf o", "▁for mat", "▁form at", "▁forma t", "▁ format", "Lo g", "L og", "▁с у", "▁ су", "▁l at", "▁la t", "▁ lat", "ut or", "uto r", "u tor", "▁re ference", "▁refer ence", "▁ reference", "▁cal cul", "▁calc ul", "▁ calcul", "on n", "o nn", "L o", "in fty", "inf ty", "▁a long", "▁al ong", "▁ č", "▁t ask", "▁ta sk", "▁ task", "▁e v", "▁ ev", "th eta", "the ta", "ra s", "r as", "jo r", "j or", "▁б о", "▁ бо", "▁princi p", "▁prin cip", "M y", "▁e iner", "▁ein er", "▁eine r", "▁E s", "▁ Es", "om b", "o mb", "qu ad", "qua d", "^{ -", "^ {-", "um p", "u mp", "▁t ill", "▁til l", "▁ti ll", "д і", "▁lo oks", "▁look s", "▁o k", "▁ ok", "ц а", "n u", "Fi l", "F il", "▁s ont", "▁so nt", "▁son t", "▁M ed", "▁Me d", "▁ Med", "ag ue", "agu e", "a gue", "▁c ost", "▁co st", "▁cos t", "▁ cost", "▁S im", "▁Si m", "▁ Sim", "▁com ment", "▁comm ent", "▁comme nt", "▁ comment", "▁( \\", "▁ (\\", "eg en", "ege n", "e gen", "▁para meter", "▁param eter", "▁paramet er", "▁ parameter", "▁F rance", "▁Fran ce", "▁Fr ance", "▁Franc e", "▁ France", "re p", "r ep", "▁T H", "▁ TH", "▁y et", "▁ye t", "▁a way", "▁aw ay", "▁ away", "▁c irc", "▁ci rc", "▁cir c", "▁ circ", "▁A PI", "▁AP I", "▁ API", "em p", "e mp", "в і", "L ayout", "▁l ines", "▁li nes", "▁line s", "▁lin es", "▁ lines", "▁P art", "▁Par t", "▁Pa rt", "▁ Part", "em pt", "emp t", "▁B i", "▁ Bi", "▁m ind", "▁min d", "▁mi nd", "▁ mind", "k y", "gi ng", "gin g", "g ing", "▁re port", "▁rep ort", "▁repo rt", "▁ report", "▁A dd", "▁Ad d", "▁ Add", "ро д", "р од", "▁r ange", "▁ran ge", "▁rang e", "▁ range", "ci as", "cia s", "c ias", "li p", "l ip", "▁K ar", "▁Ka r", "▁ Kar", "▁Comm ons", "▁Common s", "ger ufen", "af f", "a ff", "se c", "s ec", "▁h tml", "▁ html", "li g", "l ig", "▁w indow", "▁wind ow", "▁ window", "in ition", "ini tion", "init ion", "ci s", "c is", "▁u t", "▁ ut", "el n", "e ln", "▁a ux", "▁au x", "▁ aux", "▁n eg", "▁ne g", "▁ neg", "Ha nd", "H and", "▁) ;", "▁ );", "▁a nal", "▁an al", "▁ anal", "▁f ri", "▁fr i", "▁ fri", "▁с и", "▁ си", "et ch", "etc h", "m d", "pa ge", "pag e", "p age", "▁l ibrary", "▁li brary", "▁ library", "▁: =", "▁ :=", "RO M", "R OM", "Y ou", "sp ace", "s pace", "▁d urch", "▁dur ch", "▁h ost", "▁ho st", "▁hos t", "▁ host", "av en", "ave n", "a ven", "▁F ile", "▁Fil e", "▁ File", "al le", "all e", "a lle", "ти в", "▁p ap", "▁pa p", "ст во", "ств о", "с тво", "mar k", "m ark", "▁m ais", "▁ma is", "▁mai s", "er man", "erm an", "Si ze", "S ize", "е к", "▁М а", "▁ Ма", "▁is n", "▁i sn", "▁c opy", "▁co py", "▁cop y", "▁ copy", "st en", "ste n", "s ten", "ri ver", "riv er", "rive r", "r iver", "▁w ent", "▁we nt", "▁wen t", "▁j avascript", "▁java script", "▁ javascript", "▁s am", "▁sa m", "▁ sam", "▁f rame", "▁fr ame", "▁fra me", "▁fram e", "▁ frame", "▁v i", "▁ vi", "▁pre vious", "▁prev ious", "▁ previous", "ro du", "rod u", "r odu", "▁method s", "▁ methods", "▁ne cess", "▁neces s", "▁ necess", "N A", "ck et", "cke t", "c ket", "▁o pt", "▁op t", "▁ opt", "Lo c", "L oc", "ho w", "h ow", "▁î n", "▁ în", "sh ip", "s hip", "▁it self", "▁its elf", "▁P lease", "▁Ple ase", "▁ Please", "ie ne", "ien e", "i ene", "ве р", "в ер", "▁< <", "▁ <<", "▁m ill", "▁mil l", "▁mi ll", "▁ mill", "▁t rad", "▁tr ad", "▁tra d", "▁ trad", "pa ce", "p ace", "▁H ar", "▁Ha r", "▁ Har", "it en", "ite n", "i ten", "wi se", "w ise", "writ e", "wr ite", "w rite", "ци и", "р ы", "Lin e", "Li ne", "L ine", "ol o", "o lo", "▁ac cept", "▁ accept", "he ight", "▁e lect", "▁el ect", "▁ele ct", "▁ elect", "el la", "ell a", "e lla", "▁p å", "Se lect", "S elect", "▁ ли", "▁\\ <", "▁ \\<", "( (", "▁I D", "▁ ID", "op s", "o ps", "ва н", "в ан", "i ó", "T P", "» ,", "ne ction", "nect ion", "n ection", "par ent", "pa rent", "▁M ag", "▁Ma g", "▁ Mag", "Tab le", "T able", "O ver", "▁n etwork", "▁net work", "▁ network", "с по", "▁as sign", "▁ass ign", "▁ assign", "ig ger", "igg er", "ir m", "i rm", ") `", "ot tom", "ott om", "otto m", "be ta", "bet a", "b eta", "▁d ell", "▁de ll", "▁del l", "▁b ody", "▁bo dy", "▁bod y", "▁ body", "▁д а", "▁ да", "▁Y our", "▁You r", "▁ Your", "▁f ue", "▁fu e", "▁p ackage", "▁pack age", "▁ package", "▁l ight", "▁lig ht", "▁ light", "▁* *", "▁ **", "M P", "▁c ou", "▁co u", "▁ cou", "ye s", "y es", ": \\", "▁ Ч", "▁m ention", "▁men tion", "▁ment ion", "en sch", "ens ch", "▁d eg", "▁de g", "▁ deg", "▁con vert", "▁conver t", "▁conv ert", "▁ convert", "▁D av", "▁Da v", "ad t", "a dt", "Res ult", "th ough", "▁b us", "▁bu s", "▁ bus", "x y", "▁s een", "▁se en", "▁see n", "▁ seen", "Al l", "A ll", "pu blic", "pub lic", "p ublic", "iv ely", "ive ly", "ivel y", "▁R ec", "▁Re c", "▁ Rec", "▁H is", "▁Hi s", "si m", "s im", "▁f ör", "▁fö r", "▁ för", "▁h istor", "▁his tor", "▁hi stor", "▁hist or", "▁ histor", "▁s ett", "▁se tt", "▁set t", "▁ sett", "ra t", "r at", "ab led", "able d", "abl ed", "a bled", "▁» ,", "▁ »,", "go ogle", "We b", "W eb", "é l", "▁t itle", "▁tit le", "▁ title", "▁J anu", "▁Jan u", "▁Ja nu", "ј а", "▁t ook", "▁to ok", "▁too k", "id en", "ide n", "i den", "s z", "▁G et", "▁Ge t", "▁ Get", "▁object s", "▁ 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"▁ac h", "▁ ach", "ia log", "ial og", "i alog", "▁s td", "▁st d", "▁ std", "a e", "▁f oot", "▁fo ot", "▁foo t", "▁ foot", "▁un ter", "▁ unter", "gr ess", "gres s", "gre ss", "g ress", "No t", "N ot", "ra d", "r ad", "f ér", "▁u til", "▁ut il", "▁ util", "or em", "ore m", "o rem", "▁s ou", "▁so u", "op t", "o pt", "▁o g", "▁ og", "▁u ma", "▁um a", "▁ uma", "it ar", "ita r", "i tar", "▁O k", "▁ Ok", "ü ck", "sq rt", "▁a nt", "▁an t", "▁ ant", "▁wer den", "▁werd en", "å r", "}) ;", "} );", "▁P aris", "▁Par is", "▁Pa ris", "▁ex ception", "▁except ion", "▁ exception", "▁de term", "▁det erm", "▁V ol", "▁Vo l", "▁ Vol", "▁S am", "▁Sa m", "▁ Sam", "▁e ss", "▁es s", "▁ ess", "li es", "lie s", "l ies", "ion i", "io ni", "i oni", "od ing", "odi ng", "o ding", "id get", "idge t", "▁p ri", "▁pr i", "▁wh ether", "▁whe ther", "▁п од", "▁по д", "▁num bers", "▁number s", "▁ numbers", "▁ ~", "ev ent", "even t", "e vent", "▁sh ows", "▁show s", "▁sho ws", "at ures", "atur es", "ature s", "atu res", "▁h 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"▁U I", "▁ UI", "▁B el", "▁Be l", "▁ Bel", "in c", "i nc", "▁cont ains", "▁contain s", "▁ contains", "O ut", "as ure", "p u", "ot o", "o to", "▁g ame", "▁ga me", "▁gam e", "▁ game", "z n", "▁W hy", "▁Wh y", "▁ Why", "or ith", "ori th", "bi g", "b ig", "ки й", "sig ma", "s igma", "▁qu ite", "▁qui te", "▁quit e", "▁j ed", "▁je d", "▁ jed", "re c", "r ec", "▁S QL", "▁ SQL", "б е", "▁M art", "▁Mar t", "▁Ma rt", "▁ Mart", "y a", "▁sch ool", "▁ school", "▁sim ply", "▁simp ly", "▁simpl y", "▁v or", "▁vo r", "▁ vor", "▁d ouble", "▁dou ble", "▁doub le", "▁ double", "ра в", "▁S tr", "▁St r", "▁ Str", "ie m", "i em", "▁al bum", "▁alb um", "▁ album", "▁re sol", "▁res ol", "▁ resol", "▁d ei", "▁de i", "▁W ik", "▁Wi k", "▁ Wik", "▁a w", "▁ aw", "um b", "u mb", "ol s", "o ls", "▁* /", "▁ */", "▁z e", "▁ ze", "▁a nim", "▁an im", "▁ani m", "▁ anim", "/ >", "ri s", "r is", "re sh", "res h", "r esh", "N o", "ique s", "iqu es", "i ques", "cur rent", "curr ent", "c urrent", "▁per iod", "▁peri od", "▁ 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"▁ First", "an der", "and er", "ande r", "a nder", "▁D ec", "▁De c", "▁ Dec", "re quest", "req uest", "ст ва", "ств а", "с тва", "▁str ucture", "▁struct ure", "▁ structure", "▁| |", "▁ ||", "▁C omp", "▁Com p", "▁Co mp", "▁ Comp", "act ory", "actor y", "▁M il", "▁Mi l", "▁ Mil", "▁S ome", "▁So me", "▁Som e", "▁ Some", "St ream", "▁as sum", "▁ass um", "ue n", "u en", "▁w ords", "▁word s", "▁wor ds", "▁ words", "▁Se ptember", "▁Sept ember", "▁К о", "▁ Ко", "▁d ays", "▁da ys", "▁day s", "▁ days", "or ies", "ori es", "orie s", "o ries", "ста в", "s m", "vi n", "v in", "part ial", "▁par ent", "▁pa rent", "▁pare nt", "▁ parent", "o j", "ни и", "! \"", "ug in", "u gin", "▁W indows", "▁Wind ows", "▁Window s", "▁ Windows", "E d", ": }", "▁ q", "▁b en", "▁be n", "▁ ben", "ia na", "ian a", "i ana", "▁l abel", "▁la bel", "▁lab el", "▁ label", "st ate", "sta te", "stat e", "ut ed", "ute d", "u ted", "▁( )", "▁ ()", "▁с во", "▁e dit", "▁ed it", "▁ edit", "ur ing", "uri ng", "u ring", "▁N S", "▁ NS", "▁J ahr", "▁Jah r", "▁Ja hr", "▁prov ide", "H e", "▁Y es", "▁Ye s", "▁ Yes", "an el", "ane l", "a nel", "en ame", "ena me", "e name", "▁D on", "▁Do n", "▁ Don", "is k", "i sk", "gr a", "g ra", "el ij", "eli j", "e lij", "▁r oot", "▁ro ot", "▁ root", "* /", "▁F re", "▁Fr e", "▁ Fre", "▁M or", "▁Mo r", "▁ Mor", "us ed", "use d", "u sed", "ran ge", "r ange", "▁t amb", "▁ta mb", "▁tam b", "▁mod ule", "▁ module", "▁d irectory", "▁direct ory", "▁director y", "▁ directory", "ound s", "oun ds", "Act ivity", "Activ ity", "▁m u", "▁ mu", "in fo", "inf o", "▁f ree", "▁fr ee", "▁fre e", "▁ free", "or ge", "org e", "ta b", "t ab", ") =", "la ng", "lan g", "l ang", "▁о с", "▁ ос", "▁F ROM", "▁FR OM", "▁ FROM", "▁en ter", "▁ent er", "▁ enter", "▁bec ame", "id ae", "ida e", "х и", "▁St ates", "▁State s", "▁Stat es", "▁Sta tes", "ver se", "vers e", "▁ex pl", "▁exp l", "▁ expl", "yn t", "y nt", "U N", "e e", "en dent", "end ent", "enden t", "ende nt", "▁m aking", "▁ma king", "▁mak ing", "▁ making", "▁\" $", "un i", "u ni", "qu ence", "▁l ui", "▁lu i", "H T", "▁us es", "▁use s", "▁ uses", "zi e", "z ie", "ni a", "n ia", "Cont ent", "▁C ount", "▁Co unt", "▁Coun t", "▁Cou nt", "▁ Count", "▁stand ard", "▁ standard", "EN T", "E NT", "▁ко н", "▁к он", "▁ кон", "fo rt", "for t", "f ort", "ad as", "ada s", "a das", "з у", "S ystem", "▁S w", "▁ Sw", "▁e ver", "▁ev er", "▁ ever", "L O", "▁cor respond", "▁P o", "▁ Po", "ar gin", "arg in", "к т", "і й", "▁re main", "▁rem ain", "ci o", "c io", "▁act ual", "▁actu al", "▁ actual", "ст у", "с ту", "▁s ind", "▁si nd", "▁sin d", "▁P e", "▁ Pe", "▁ch anged", "▁change d", "▁chang ed", "▁ changed", "▁N ote", "▁No te", "▁Not e", "▁ Note", "sk ie", "ski e", "s kie", "▁famil y", "▁fam ily", "▁ family", "it à", "co s", "c os", "tx t", "t xt", "ke r", "k er", "ce ed", "c eed", "▁a rr", "▁ar r", "▁ arr", "▁c am", "▁ca m", "▁ cam", "iz er", "ize r", "i zer", "▁D an", "▁Da n", "▁ Dan", "he l", "h el", "ic ult", "icul t", "H P", "il er", "ile r", "i ler", "▁S al", "▁Sa l", "▁ Sal", "▁con nection", "▁conne ction", "▁connect ion", "▁conn ection", "▁ connection", "us ion", "k n", "R I", "▁v om", "▁vo m", "List ener", "▁ ö", "▁d im", "▁di m", "▁ dim", "▁p ress", "▁pr ess", "▁pre ss", "▁pres s", "▁ press", "▁e sc", "▁es c", "▁ esc", "▁T ry", "▁Tr y", "▁ Try", "at alog", "ata log", "atal og", "▁th anks", "▁than ks", "▁thank s", "D O", "▁w ritten", "▁writ ten", "▁wr itten", "▁ written", "di r", "d ir", "re w", "r ew", "▁f ire", "▁fi re", "▁fir e", "▁ fire", "▁N ach", "▁Na ch", "▁ á", "en c", "e nc", "▁or igin", "▁orig in", "▁ origin", "▁Nov ember", "▁} ;", "▁ };", "Co unt", "C ount", "▁З а", "▁ За", "▁g raph", "▁gr aph", "▁gra ph", "▁ graph", "▁m is", "▁mi s", "▁ mis", "▁Ex ternal", "▁Ext ernal", "▁Extern al", "▁Externa l", "▁ External", "▁o ptions", "▁option s", "▁opt ions", "▁ options", "▁U RL", "▁ URL", "▁p hp", "▁ph p", "▁ php", "▁in tegr", "▁int egr", "▁inte gr", "▁ integr", "Con fig", "Conf ig", "▁T ext", "▁Te xt", "▁Tex t", "▁ Text", "in ner", "inn er", "▁c rit", "▁cr it", "▁cri t", "▁ crit", ", ”", "▁t og", "▁to g", "$ $", "no f", "n of", "▁s es", "▁se s", "üh r", "ü hr", "▁S ince", "▁Sin ce", "▁ Since", "De s", "D es", "ub e", "u be", "▁s ection", "▁se ction", "▁sec tion", "▁sect ion", "▁ section", "▁g i", "▁ gi", "fo rd", "for d", "f ord", "▁A ss", "▁As s", "▁ Ass", "ain er", "ai ner", "aine r", "a iner", "tt p", "t tp", "▁be hav", "▁beh av", "port s", "por ts", "dr aw", "dra w", "d raw", "Th is", "T his", "ran ch", "r anch", "in ding", "ind ing", "indi ng", "▁e stab", "▁est ab", "▁es tab", "▁esta b", "▁ob tain", "▁obt ain", "ri ch", "ric h", "r ich", "li cit", "lic it", "е в", "▁qu al", "▁q ual", "▁ qual", "▁z a", "▁ za", "▁h ar", "▁ha r", "▁ har", "▁f ac", "▁fa c", "▁ fac", "aa r", "a ar", "je t", "j et", "ic les", "icle s", "i cles", "▁A us", "▁Au s", "▁ Aus", "▁h or", "▁ho r", "▁ hor", "▁re mov", "▁rem ov", "▁w ie", "▁ wie", "Cl ient", "C lient", "▁n atur", "▁nat ur", "hi p", "h ip", "Su b", "S ub", "▁r andom", "▁ran 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vo", "iv a", "i va", "ic y", "i cy", "zi one", "z ione", "No de", "N ode", "▁: )", "▁ :)", "▁am ong", "▁O b", "▁ Ob", "▁c ases", "▁case s", "▁cas es", "▁ cases", "ha ps", "h aps", "se rs", "ser s", "s ers", "ar ter", "art er", "arte r", "śc i", "ś ci", "▁it er", "▁i ter", "▁ iter", "▁n amed", "▁name d", "▁na med", "▁nam ed", "▁ named", "ex ec", "exe c", "▁se ason", "▁sea son", "▁ season", "to t", "t ot", "= >", "gr aph", "gra ph", "g raph", "▁n il", "▁ni l", "▁ nil", "ac ional", "acion al", "aci onal", "▁N ULL", "▁ NULL", "▁spe cial", "▁spec ial", "▁ special", "ст е", "с те", "cs s", "c ss", "▁\\ (", "v s", "ae l", "a el", "▁c ity", "▁ci ty", "▁cit y", "▁ city", "ov a", "o va", "▁art icle", "▁ article", "▁S outh", "▁So uth", "▁Sou th", "Act ion", "Ac tion", "A ction", "ç a", "sp ring", "spr ing", "s pring", "it ude", "itu de", "itud e", "▁com plex", "▁comp lex", "▁comple x", "▁compl ex", "▁ complex", "▁ч то", "bu ild", "g amma", "▁E nt", "▁En t", "▁ Ent", "ie rs", "ier s", "i ers", "' 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"▁ classes", "▁in fl", "▁inf l", "▁ infl", "h l", "ро м", "р ом", "▁ad ding", "▁add ing", "▁ adding", "▁f ail", "▁fa il", "▁ fail", "x x", "õ es", "S c", "ut il", "uti l", "u til", "▁l ocation", "▁lo cation", "▁loc ation", "▁ location", "le ge", "leg e", "l ege", "ag o", "a go", "▁pro perties", "▁proper ties", "▁ properties", "ab il", "abi l", "a bil", "va s", "v as", "}$ ,", "} $,", "it ted", "itt ed", "itte d", "ó d", "▁D em", "▁De m", "▁as ked", "▁ask ed", "▁t ab", "▁ta b", "▁ tab", "S ource", "▁error s", "▁err ors", "▁ errors", "ograph ie", "▁ж и", "▁ жи", "▁m al", "▁ma l", "▁ mal", "st ract", "str act", "stra ct", "▁d ro", "▁dr o", "▁ dro", "ra k", "r ak", "▁n ote", "▁not e", "▁no te", "▁ note", "▁set ting", "▁sett ing", "▁ setting", "▁f em", "▁fe m", "▁s aw", "▁sa w", "ia r", "i ar", "HE R", "H ER", "е с", "▁p red", "▁pr ed", "▁pre d", "▁ pred", "▁O ut", "▁ Out", "▁it ems", "▁item s", "▁ items", "ла н", "л ан", "▁w erd", "▁we rd", "▁wer d", "ers ion", "li a", "l ia", "▁s in", "▁si n", "▁ sin", "ich te", "icht e", "i chte", "▁fe el", "▁fee l", "▁п ра", "▁пр а", "▁ пра", "▁o der", "▁od er", "▁ oder", "U E", "oc ument", "▁m ode", "▁mod e", "▁mo de", "▁ mode", "▁N a", "▁ Na", "де н", "д ен", "me s", "m es", "frame work", "▁a uto", "▁au to", "▁aut o", "▁ auto", "ны м", "н ым", "ub y", "u by", "▁tem plate", "▁temp late", "▁ template", "▁m ess", "▁me ss", "▁mes s", "▁ mess", "ie der", "ied er", "i eder", "▁rel ated", "▁rela ted", "▁relate d", "▁ related", "ok en", "oke n", "o ken", "▁follow s", "se arch", "s earch", "am i", "a mi", "▁w ait", "▁wa it", "▁ wait", "ig r", "i gr", "▁l ow", "▁lo w", "▁ low", "ски х", "ск их", "с ких", "ска я", "с кая", "▁M ark", "▁Mar k", "▁ Mark", "▁i ll", "▁il l", "▁ ill", "am ento", "ament o", "amen to", "\\ <", "▁d f", "▁ df", "os ition", "osi tion", "▁В и", "is f", "i sf", "▁De utsch", "ah l", "a hl", "wa r", "w ar", "it ect", "ite ct", "▁s al", "▁sa l", "▁ sal", "el en", "ele n", "e len", "By Id", "▁g ru", "▁gr u", "▁ gru", "s v", "▁pass ed", "▁pas sed", "▁passe d", "▁a ñ", "▁ añ", "Sc h", "S ch", "▁sol ve", "we ise", "weis e", "wei se", "at os", "ato s", "▁m eg", "▁me g", "▁m ember", "▁mem ber", "▁memb er", "▁ member", "er name", "ern ame", "erna me", "▁con nect", "▁conne ct", "▁conn ect", "▁ connect", "ip s", "i ps", "▁r ound", "▁ro und", "▁rou nd", "▁ round", "▁ ]", "ne s", "n es", "▁d ir", "▁di r", "▁ dir", "▁Lond on", "d y", "F A", "▁rece ived", "▁receive d", "re et", "ree t", "▁L og", "▁Lo g", "▁ Log", "▁Sch ool", "an go", "ang o", "▁The se", "▁Th ese", "▁M ont", "▁Mon t", "▁Mo nt", "▁ Mont", "▁e ner", "▁en er", "▁ ener", "la d", "l ad", "▁def ine", "▁defin e", "▁ define", "si gn", "sig n", "s ign", "▁c le", "▁cl e", "▁ cle", "fig ure", "▁V iew", "▁Vi ew", "▁Vie w", "▁ View", "text bf", "$ \\", "з ы", "num ber", "n umber", "▁d in", "▁di n", "▁ din", "el ler", "ell er", "elle r", "orith m", "ori thm", "fal se", "f alse", "fo l", "f ol", "ffic ient", "▁HT ML", "▁ HTML", "li che", "lic he", "lich e", "l 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"u str", "▁b lack", "▁bl ack", "▁bla ck", "▁ black", "▁select ed", "▁sel ected", "▁sele cted", "▁ selected", "ch er", "che r", "c her", "▁l iter", "▁li ter", "▁lit er", "▁ liter", "ro ot", "r oot", "л ся", "▁L ife", "▁Li fe", "▁ Life", "▁in sert", "▁ins ert", "▁inser t", "▁inse rt", "▁ insert", "▁mat rix", "▁ matrix", "is es", "ise s", ") ]", "▁p el", "▁pe l", "▁ pel", "Over ride", "ry pt", "▁for mer", "▁form er", "▁forme r", "▁ former", "▁Fil m", "▁N orth", "▁Nor th", "cl ient", "cli ent", "c lient", "▁n ight", "▁ night", "хо ди", "ход и", "▁A ustral", "▁Aust ral", "▁ Austral", "▁R et", "▁Re t", "▁ Ret", "rh o", "r ho", "▁п ер", "▁пе р", "▁ пер", "ip edia", "ipe dia", "▁ex press", "▁exp ress", "▁expr ess", "▁expres s", "▁ express", "▁th ird", "▁ third", "▁ma jor", "▁maj or", "▁ major", "▁g rad", "▁gr ad", "▁gra d", "▁ grad", "ow e", "o we", "▁bel ieve", "our nal", "ourn al", "▁st atus", "▁stat us", "▁ status", "un c", "u nc", "▁d ou", "▁do u", "▁J SON", "▁JS ON", "▁ JSON", "ui s", "u is", "▁pop ulation", "▁popula tion", "▁popul ation", "en z", "▁Will iam", "s f", "▁O bject", "▁Ob ject", "▁ Object", "▁c in", "▁ci n", "▁ cin", "▁D i", "▁ Di", "cur ity", "c urity", "▁O pen", "▁Op en", "▁ Open", "▁ ле", "la r", "l ar", "ad ding", "add ing", "▁k om", "▁ko m", "▁ kom", "}( \\", "} (\\", "▁k il", "▁ki l", "▁ kil", "um er", "ume r", "u mer", "\"/ >", "\" />", "▁fe ature", "▁ feature", "▁A re", "▁Ar e", "▁ Are", "ck s", "c ks", "▁Intern et", "▁Inter net", "▁ Internet", "▁i h", "▁ ih", "▁start ed", "▁star ted", "▁ear ly", "▁be gan", "▁beg an", "T H", "p ython", "as p", "a sp", "▁F r", "▁ Fr", "▁c los", "▁cl os", "▁clo s", "▁ clos", "ist ic", "isti c", "▁mus ic", "▁ music", "▁d ig", "▁di g", "▁ dig", "▁it al", "▁i tal", "▁ ital", "▁D avid", "▁Dav id", "▁Da vid", "▁ David", "▁web site", "▁ website", "▁cont roller", "▁control ler", "▁ controller", "▁M er", "▁Me r", "▁ Mer", "con text", "cont ext", "pro duct", "produ ct", "prod uct", "os p", "o sp", "▁j un", "▁ju n", "ro wn", "row n", "r own", "▁A z", "▁ Az", "\": \"", "\" :\"", "▁a an", "▁aa n", "▁D ate", "▁Da te", "▁Dat e", "▁ Date", "mu lt", "mul t", "m ult", "▁b rowser", "▁brow ser", "▁ browser", "ре д", "wh ich", "R A", "qu are", "qua re", "▁R uss", "▁Ru ss", "▁Rus s", "▁ Russ", "▁s oon", "▁so on", "▁P re", "▁Pr e", "▁ Pre", "ta u", "t au", "▁we ek", "▁ week", "▁б а", "▁ ба", "▁o ct", "▁oc t", "▁ oct", "▁t own", "▁to wn", "▁ town", "ro y", "r oy", "▁e ls", "▁el s", "▁ els", "bl ic", "b lic", "und le", "▁H istor", "▁His tor", "▁Hi stor", "▁Hist or", "▁f oi", "▁fo i", "▁mod els", "▁model s", "▁mode ls", "▁ models", "з о", "on ym", "ony m", "o nym", "Par am", "Pa ram", "P aram", "▁M et", "▁Me t", "▁ Met", "ge ner", "gen er", "g ener", "j ą", "▁e spe", "▁es pe", "▁esp e", "C E", "▁de vice", "▁dev ice", "▁devi ce", "▁ device", "el low", "ell ow", "ello w", "▁de bug", "▁deb ug", "▁ debug", "ér ie", "éri e", "é rie", "us ing", "u sing", "ан г", "а нг", "▁* )", "▁ *)", "ud i", "u di", "▁M iss", "▁Mi ss", "▁Mis s", "▁ Miss", "ко м", "к ом", "pos ed", "po sed", "pose d", "p osed", "▁z we", "▁zw e", "і н", "▁Ro bert", "▁Rob ert", "▁O ct", "▁ Oct", "lo p", "l op", "ja r", "j ar", "▁a ver", "▁av er", "▁ave r", "▁ aver", "▁ha bit", "▁hab it", "▁: :", "▁ ::", "än g", "ä ng", "St art", "Star t", "▁p ow", "▁po w", "▁ pow", "▁s rc", "▁sr c", "▁ src", "▁pat tern", "▁ pattern", "▁ Э", "▁b i", "▁ bi", "ot es", "ote s", "o tes", "▁_ _", "▁ __", "▁s ens", "▁se ns", "▁sen s", "▁ sens", "▁a void", "▁av oid", "▁avo id", "ex ample", "ut t", "u tt", "La bel", "Lab el", "L abel", "te x", "t ex", "bo ot", "b oot", "es to", "est o", "e sto", "▁M arch", "▁Mar ch", "▁Marc h", "▁e asy", "▁eas y", "ict ure", "Gr oup", "▁f ather", "▁fa ther", "▁fat her", "▁ father", "▁up dated", "▁update d", "▁upd ated", "▁ updated", "▁V o", "▁I II", "▁II I", "▁ III", "om ega", "ome ga", "▁a lle", "▁al le", "▁all e", "▁ alle", "Re c", "R ec", "y g", "з е", "▁D im", "▁Di m", "▁ Dim", "ne ct", "n ect", "▁T or", "▁To r", "▁de utsch", "▁ deutsch", "▁wh ite", "▁ white", "▁n ational", "▁nation al", "▁nat ional", "pp e", "p pe", "▁a ir", "▁ai r", "▁ air", "▁pass word", "▁ password", "de t", "d et", "▁b ig", "▁bi g", "▁ big", "▁U se", "▁Us e", "▁ Use", "cal l", "ca ll", "c all", "▁ex tra", "▁ext ra", "▁extr a", "▁ extra", "W e", "an ia", "ani a", "a nia", "▁h old", "▁ho ld", "▁hol d", "▁ hold", "Cont rol", "▁C O", "▁ CO", "▁м і", "▁ мі", "it i", "i ti", "▁K e", "▁ Ke", "en u", "e nu", "▁P ark", "▁Par k", "то м", "т ом", "▁a uth", "▁au th", "▁aut h", "▁ auth", "▁c enter", "▁cent er", "▁ center", "P h", "то в", "т ов", "id ing", "idi ng", "i ding", "▁a cross", "▁ac ross", "▁s ong", "▁so ng", "▁son g", "▁ song", "▁ph ys", "▁ phys", "▁n umer", "▁num er", "▁nu mer", "▁ numer", "щ а", "▁A lex", "▁Al ex", "▁Ale x", "▁ Alex", "▁problem s", "▁proble ms", "▁probl ems", "▁E rror", "▁Er ror", "▁Err or", "▁ Error", "form at", "for mat", "▁A cc", "▁Ac c", "▁ Acc", "▁s ix", "▁si x", "▁ six", "▁d b", "▁ db", "▁C ast", "▁Cas t", "▁Ca st", "▁ Cast", "om s", "o ms", "pro ject", "proj ect", "▁v ert", "▁ver t", "▁ve rt", "▁ vert", "cre t", "cr et", "c ret", "▁he ader", "▁head er", "▁ header", "▁st ream", "▁stre am", "▁ stream", "id s", "i ds", "▁t or", "▁to r", "▁ tor", "▁se pt", "▁sep t", "▁est im", "▁es tim", "▁de cl", "▁dec l", "▁ decl", "▁g ave", "▁ga ve", "▁p layer", "▁pl ayer", "▁play er", "▁pla yer", "▁ player", "ys is", "▁д ру", "▁др у", "am m", "a mm", "щ о", "▁( \"", "▁ (\"", "▁a x", "▁ ax", "Pro perty", "us r", "u sr", "▁some one", "▁im pro", "▁imp ro", "▁impr o", "ad en", "ade n", "a den", "ro te", "rot e", "r ote", "▁М и", "i h", "++ )", "+ +)", "▁v ideo", "▁vide o", "▁ video", "▁ex ists", "▁exist s", "▁ exists", "к ла", "▁comp lete", "▁comple te", "▁complet e", "▁compl ete", "▁ complete", "▁s ession", "▁sess ion", "▁ session", "▁const ant", "▁ constant", "ic os", "ico s", "i cos", "▁p ack", "▁pa ck", "▁pac k", "▁ pack", "ro me", "rom e", "r ome", "eg r", "e gr", "App lication", "▁y es", "▁ye s", "▁ yes", "▁e 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"▁per fect", "▁perf ect", "() {", "( ){", "vis ion", "v ision", "act ive", "activ e", "li er", "lie r", "l ier", "ri j", "r ij", "s d", "▁k ö", "▁ kö", "▁n ie", "▁ni e", "▁ nie", "▁re lig", "▁rel ig", "▁reli g", "▁o t", "▁ ot", "▁m achine", "▁mach ine", "▁ machine", "▁h eld", "▁he ld", "▁hel d", ")$ .", ") $.", "==== ====", "ck er", "cke r", "c ker", "в ы", "bo rn", "bor n", "b orn", "▁p ast", "▁pas t", "▁pa st", "ри я", "▁D r", "▁ Dr", "▁reg ular", "▁regul ar", "▁ regular", "▁prov ided", "▁provide d", "TE R", "T ER", "▁un ivers", "▁ univers", "▁g ets", "▁get s", "▁ge ts", "▁ gets", "▁n u", "▁ nu", "▁/ *", "▁ /*", "ob er", "obe r", "o ber", "fi n", "f in", "▁n ella", "▁ne lla", "▁nel la", "▁nell a", "▁be come", "▁bec ome", "▁becom e", "▁` `", "▁ ``", "▁h istory", "▁histor y", "▁hi story", "▁hist ory", "▁ history", "▁S ol", "▁So l", "▁ Sol", "▁R ad", "▁Ra d", "▁ Rad", "▁term s", "▁ter ms", "▁even ts", "▁event s", "▁ev ents", "▁ events", "ly mp", ")) )", ") ))", "ро ва", "ров а", "р ова", "▁ab sol", "▁abs ol", "▁so ft", "▁ soft", "lin ks", "link s", "l inks", "▁h ope", "▁ho pe", "▁hop e", "▁su bject", "▁sub ject", "▁ subject", "\") ,", "\" ),", "▁cre ating", "▁} \r", "▁ }\r", "▁S k", "▁ Sk", "▁f low", "▁fl ow", "▁flo w", "▁ flow", "▁Р а", "▁as sert", "▁ass ert", "▁asse rt", "▁ assert", "ze t", "z et", "▁F rank", "▁Fran k", "▁Fr ank", "s a", "▁dist ribution", "▁distribu tion", "▁distrib ution", "▁ distribution", "c u", "ba nd", "ban d", "b and", "iz z", "i zz", "▁j ob", "▁jo b", "▁ job", "in er", "ine r", "i ner", "st ruct", "str uct", "stru ct", "á k", "T O", "au f", "a uf", "▁ext ends", "▁extend s", "▁G ra", "▁Gr a", "dis play", "▁sign ific", "on ey", "one y", "o ney", "s ource", "m icrosoft", "in der", "ind er", "inde r", "i nder", "▁qu ick", "▁qui ck", "▁ quick", "▁w onder", "▁won der", "▁wo nder", "Inst ance", "el les", "ell es", "elle s", "e lles", "è me", "▁comp any", "▁compan y", "▁ company", "u ß", ". }", "▁separ ate", "U M", "HER E", "HE RE", "H ERE", 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"agem ent", "▁` .", "▁ `.", "▁pre tty", "▁pret ty", "▁re comm", "▁rec omm", "▁recom m", "▁s ud", "▁su d", "▁re qu", "▁r equ", "▁req u", "▁об ла", "at ives", "ative s", "ativ es", "ati ves", "▁H igh", "▁Hi gh", "▁ High", "á z", "ou l", "o ul", "re st", "res t", "r est", "▁T er", "▁Te r", "un der", "und er", "unde r", "u nder", "th ern", "ther n", "the rn", "cent er", "cen ter", "cente r", "c enter", "▁u r", "▁ ur", "la t", "l at", "▁inter face", "▁ interface", "▁и н", "▁ ин", "▁wh ose", "▁who se", "ic as", "ica s", "i cas", "am en", "ame n", "a men", "Fil ter", "▁st ation", "▁stat ion", "▁sta tion", "▁stati on", "▁ station", "Pa ge", "P age", "▁a rm", "▁ar m", "▁ arm", "▁e yes", "▁eye s", "▁ра й", "▁s eu", "▁se u", "ol i", "o li", "wi n", "w in", "li k", "l ik", "ge x", "g ex", "ch an", "cha n", "c han", "id ence", "iden ce", "ar gs", "arg s", "ak ing", "aki ng", "a king", "▁Go ogle", "▁ Google", "▁St ud", "▁Stu d", "▁h o", "▁ ho", "то ры", "тор ы", "S u", "▁autom at", "▁auto mat", "êm 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"bu g", "b ug", "▁m oved", "▁mov ed", "▁mo ved", "▁move d", "C L", "▁data s", "▁dat as", "▁ datas", "S O", "о ло", "▁Ge org", "▁re ach", "▁r each", ": \"", "▁e valu", "▁ev alu", "▁eval u", "▁ evalu", "▁H el", "▁He l", "▁ Hel", "▁R iver", "▁Riv er", "▁Ri ver", "▁А р", "▁ Ар", "// //", "/// /", "/ ///", "▁s ets", "▁se ts", "▁set s", "▁ sets", "▁O lymp", "Ad apter", ". 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t", "▁ Att", "▁N one", "▁No ne", "▁Non e", "▁ None", "app lication", "ü d", "▁f it", "▁fi t", "▁ fit", "▁M aria", "▁Mar ia", "▁Ma ria", "▁Mari a", "▁n ord", "▁no rd", "▁nor d", "▁s plit", "▁sp lit", "▁spl it", "▁ split", "▁st ru", "▁str u", "▁ stru", "▁o fficial", "▁off icial", "▁offic ial", "▁offici al", "▁exec ute", "▁execut e", "▁ execute", "ou ve", "ouv e", "o uve", "{ {", "▁A p", "▁ Ap", "▁к у", "▁ ку", "I L", "▁ ^", "di m", "d im", "▁set up", "▁ setup", "с к", "▁sh are", "▁ share", "▁min utes", "▁minute s", "gl e", "g le", "oc o", "o co", "st ell", "ste ll", "▁C oun", "▁Co un", "▁Cou n", "▁tem per", "▁temp er", "▁ temper", "ke it", "сь кий", "a o", "▁L ong", "▁Lo ng", "▁ Long", "( &", "ка н", "к ан", "▁d ens", "▁de ns", "▁den s", "▁ dens", "Bu t", "B ut", "X X", "DA TE", "DAT E", "D ATE", "ga n", "g an", ".) .", ". ).", "▁en try", "▁ent ry", "▁entr y", "▁ entry", "inst all", "▁з на", "▁ зна", "▁S om", "▁So m", "Comm and", "ße n", "ß en", "▁start ing", "▁star ting", "▁s to", "▁st o", "▁ sto", "I G", "▁min im", "▁mi nim", "▁mini m", "▁exp licit", "▁explic it", "▁by tes", "▁byte s", "▁ bytes", "▁par ty", "▁part y", "▁ party", "to ber", "t ober", "▁G rand", "▁Gr and", "▁Gra nd", "▁Gran d", "▁V or", "▁Vo r", "▁ Vor", "▁l eur", "▁le ur", "▁ leur", "Doc ument", "D ocument", "er c", "e rc", "ens ive", "C P", "en v", "▁arg uments", "▁argument s", "▁ arguments", "▁G ran", "▁Gr an", "▁Gra n", "ar ily", "ari ly", "▁l in", "▁li n", "▁ lin", "t n", "( -", "ge q", "g eq", "▁F amil", "▁Fa mil", "▁Fam il", "▁ Famil", "▁Б о", "▁t our", "▁to ur", "▁tou r", "▁n av", "▁na v", "▁ nav", "▁proper ly", "▁M rs", "▁Mr s", "▁M el", "▁Me l", "▁sc ale", "▁scal e", "▁ scale", "ast ic", "d s", "▁S ir", "▁Si r", "▁Ch urch", "}^ {\\", "}^{ \\", "} ^{\\", "yo u", "y ou", "/ .", "S o", "▁br ought", "▁r ole", "▁ro le", "▁rol e", "▁ role", "▁S ur", "▁Su r", "▁ Sur", "▁f ond", "▁fo nd", "▁fon d", "▁g es", "▁ge s", "▁ ges", "ż e", "et en", "ete n", "e ten", "▁é tait", "▁ét ait", "▁ était", "SE R", "S ER", "▁ко торы", "▁кото ры", "▁equ ation", "▁ equation", "as px", "asp x", "▁A fr", "▁Af r", "▁d it", "▁di t", "▁ dit", "em pty", "emp ty", "empt y", "al ement", "ale ment", "alem ent", "a lement", "wr ap", "w rap", "▁B et", "▁Be t", "▁col lect", "▁coll ect", "▁colle ct", "▁ collect", "▁g it", "▁gi t", "▁ git", "▁v ie", "▁vi e", "▁ vie", "▁. .", "▁ ..", "ро й", "▁< ?", "▁ ", "▁В а", "no st", "nos t", "n ost", "▁n em", "▁ne m", "▁ nem", "▁p en", "▁pe n", "▁ pen", "Op en", "O pen", "▁ch urch", "ко н", "к он", "▁a verage", "▁aver age", "▁ave rage", "▁com ments", "▁comm ents", "▁comment s", "▁ comments", "▁correspond ing", "lev ant", "▁b ed", "▁be d", "▁ bed", "▁mean ing", "V ersion", "Lin k", "L ink", "be l", "b el", "▁ext ract", "▁extra ct", "▁extr act", "▁ extract", "ś ć", "▁I V", "▁ IV", "▁I r", "▁comp uter", "▁comput er", "▁compute r", "▁a ffect", "▁af fect", "▁aff ect", "▁С та", "▁Ст а", "A X", "so rt", "s ort", "▁s pecies", "▁spe cies", "▁spec ies", "▁specie s", "▁ species", "▁O per", "▁Op er", "▁ Oper", "▁h ash", "▁ha sh", "▁has h", "▁ hash", "ch es", "che s", "c hes", "▁Einz eln", "▁Einzel n", "▁ke ys", "▁key s", "▁ keys", "▁mar zo", "▁inter pret", "▁interpre t", "ho od", "h ood", "▁co ordin", "▁coord in", "ö s", "ra ge", "rag e", "r age", "et z", "e tz", "iz a", "i za", "де р", "д ер", "ü t", "^ *", "▁mod ify", "▁term in", "▁ter min", "▁ termin", "▁c red", "▁cre d", "▁cr ed", "▁ cred", "zo n", "z on", "ну ю", "н ую", "▁m ie", "▁mi e", "▁' '", "▁ ''", "▁M os", "▁Mo s", "▁conne cted", "▁connect ed", "▁conn ected", "▁ connected", "N O", "▁comp ile", "▁ compile", "▁\" \\", "▁ \"\\", "▁c at", "▁ca t", "▁ cat", "f iddle", "ut a", "u ta", "Acc ess", "Ac cess", "A ccess", "▁S to", "▁St o", "▁ Sto", "▁B ur", "▁Bu r", "▁n orth", "▁nor th", "G amma", "▁al loc", "▁all oc", "▁allo c", "▁ alloc", "In it", "I nit", "▁L ink", "▁Lin k", "▁ Link", "ial ize", "iali ze", "Im pl", "Imp l", "ou pe", "oup e", "rop ri", "▁G old", "▁Go ld", "▁Gol d", "▁s olo", "▁so lo", "▁sol o", "▁D ist", "▁Dis t", "▁Di st", "▁ Dist", ", -", "na v", "n av", "▁al ert", "▁ale rt", "▁ alert", "es is", "esi s", "▁O s", "▁ Os", "// /", "/ //", "▁f eb", "▁fe b", "▁- ->", "▁-- >", "▁ -->", "fo ot", "foo t", "f oot", "▁F ried", "▁Fr ied", "▁Fri ed", "▁Einzeln ach", "▁Einzel nach", "▁re v", "▁r ev", "▁ rev", "ze it", "▁S tat", "▁St at", "▁Sta t", "▁ Stat", "▁S eg", "▁Se g", "▁ Seg", "▁b lo", "▁bl o", "▁ blo", "wi ck", "w ick", "E L", "ca ption", "cap tion", "capt ion", "he ader", "head er", "▁pres ident", "▁presiden t", "▁mult ip", "▁multi p", "▁mul tip", "▁ multip", "▁Einzelnach weise", "▁se ine", "▁sein e", "▁sei ne", "? ”", "Func tion", "Fun ction", "F unction", "▁St and", "▁Sta nd", "▁Stan d", "▁ Stand", "▁F unction", "▁Fun ction", "▁ Function", "▁? >", "▁ ?>", "▁B ill", "▁Bi ll", "▁Bil l", "▁s pect", "▁sp ect", "▁spe ct", "▁spec t", "▁ spect", "▁re direct", "▁red irect", "▁ redirect", "ru pt", "rup t", "r upt", "▁w alk", "▁wal k", "▁ walk", "в ши", "spring framework", "pl ace", "pla ce", "p lace", "é ho", "Ent ity", "▁Ser vice", "▁Serv ice", "▁ Service", "in te", "int e", "▁tr aining", "▁tra ining", "▁train ing", "▁ training", "▁( `", "▁ (`", "фо р", "ф ор", "▁к ра", "▁ кра", "au r", "a ur", "▁f etch", "▁fet ch", "▁ fetch", "▁ †", "▁m ême", "▁ même", "▁( '", "▁ ('", "at ively", "ative ly", "ativ ely", "▁exec ut", "ä ch", "▁Catalog ue", "ba sed", "base d", "bas ed", "b ased", "Att ribute", "▁s pring", "▁sp ring", "▁spr ing", "▁ spring", "ph one", "phon e", "т ра", "▁п и", "▁ пи", "те ра", "тер а", "т ера", "▁` \\", "▁O d", "On e", "O ne", "se nd", "sen d", "s end", "bo n", "b on", "▁ °", "M O", "▁as king", "▁ask ing", "▁o ù", "▁ing år", "▁test ing", "▁ testing", "▁ф а", "▁ фа", "▁B ook", "▁Bo ok", "▁ Book", "im m", "i mm", "▁pro gress", "▁ progress", "br o", "b ro", "F irst", "▁p hot", "▁ph ot", "▁O N", "▁ ON", "Tem plate", "Temp late", "develop er", "an not", "ann ot", "anno t", "▁> =", "▁ >=", "miss ion", "m ission", "▁k tó", "▁ któ", "p c", "ba ch", "b ach", "ze nt", "zen t", "z ent", "ue d", "u ed", "▁o nes", "▁on es", "▁one s", "▁ ones", "ј и", "▁r out", "▁ro ut", "▁rou t", "▁ rout", "▁К и", "Pos t", "Po st", "P ost", "ці ї", "ц ії", "▁V ir", "▁Vi r", "ne k", "n ek", "ag ing", "agi ng", "agin g", "a ging", "▁о к", "▁ ок", "iz ont", "izo nt", "izon t", "▁ag osto", "▁ago sto", "▁cho ose", "▁ choose", "▁ \r", "▁system s", "▁syst ems", "lo ss", "los s", "l oss", "ien te", "ient e", "i ente", "▁C re", "▁Cr e", "▁ Cre", "▁con tra", "▁cont ra", "▁contr a", "▁ contra", "um s", "u ms", "▁begin ning", "em y", "e my", "ist ics", "istic s", "isti cs", "▁s erved", "▁ser ved", "▁serv ed", "▁serve d", "Do wn", "D own", "option s", "opt ions", "o ptions", "▁G overn", "▁Go vern", "▁B Y", "▁ BY", "▁j est", "▁je st", "▁ jest", "t é", "▁cont inue", "▁contin ue", "▁continu e", "▁ continue", "pe rs", "per s", "p ers", "▁eas ier", "▁c os", "▁co s", "▁ cos", "es so", "ess o", "> >", "Ne t", "N et", "▁B or", "▁Bo r", "▁C r", "▁ Cr", "▁trans fer", "▁C SS", "▁CS S", "▁ CSS", "▁fin ns", "▁х о", "▁ хо", "us ername", "user name", "▁con stru", "▁const ru", "▁p ain", "▁pa in", "▁T em", "▁Te m", "▁ Tem", "▁spec ified", "▁b rit", "▁br it", "▁ brit", "ски е", "с кие", "ir k", "ra pper", "rap per", "r apper", "▁c ounter", "▁co unter", "▁count er", "▁coun ter", "▁ counter", "▁[ \"", "▁ [\"", "ode d", "od ed", "o ded", "да н", "д ан", "pro perty", "ha rd", "har d", "h ard", "ist rict", "istr ict", ") /", "▁P our", "▁Po ur", "▁W here", "▁Wh ere", "▁Whe re", "▁ Where", "▁= ==", "▁== =", "▁ ===", "▁s owie", "▁so wie", "▁sow ie", "▁П ро", "▁d ess", "▁de ss", "▁des s", "▁ dess", "▁t ras", "▁tr as", "▁tra s", "▁ tras", "▁у ча", "▁O ver", "▁ Over", "no te", "not e", "n ote", "▁Amer ica", "▁ America", "c p", "▁gr ande", "▁gra nde", "▁gran de", "▁grand e", "M e", ") -", "Mod e", "Mo de", "M ode", "▁pass ing", "▁pas sing", "▁g iving", "▁giv ing", "▁gi ving", "C l", "} /", "Me nu", "Men u", "M enu", "! !", "ang ular", "angu lar", "▁la unch", "▁ launch", "var phi", "▁Joh ann", "▁Johan n", "▁for each", "▁fore ach", "▁ foreach", "r ó", "se qu", "seq u", "s equ", "if i", "i fi", "A m", "ar p", "a rp", "▁b uffer", "▁buf fer", "▁buff er", "▁ buffer", "▁n i", "▁ ni", "▁m ix", "▁mi x", "▁ mix", "▁M useum", "▁Muse um", "▁me ant", "▁mean t", "as i", "a si", "▁k an", "▁ka n", "▁ kan", "пра в", "п рав", "Com p", "Co mp", "C omp", "is toire", "ist oire", "isto ire", "if ul", "i ful", "je r", "j er", "iss ions", "ission s", "Re source", "Res ource", "▁в оз", "▁во з", "▁S T", "▁ ST", "▁sol utions", "▁solution s", "▁be long", "▁bel ong", "▁As soci", "▁Ass oci", "▁ Associ", "c f", "▁M är", "▁g rid", "▁gr id", "▁ grid", "M ult", "▁require s", "▁requ ires", "k k", "▁t each", "▁te ach", "▁tea ch", "eme inde", "emein de", "▁s quare", "▁squ are", "▁ square", "▁ко ман", "▁ком ан", "▁E vent", "▁Ev ent", "▁Even t", "▁ Event", "▁r ules", "▁rule s", "▁ru les", "▁ rules", "▁b ur", "▁bu r", "▁ bur", "▁e ing", "▁ein g", "▁ eing", "▁M ai", "▁Ma i", "▁n am", "▁na m", "▁ nam", "▁s lä", "▁sl ä", "hö r", "h ör", "▁t ip", "▁ti p", "▁ tip", "▁Liter atur", "▁s cope", "▁sc ope", "▁scop e", "▁ scope", "over line", "▁ex it", "▁ exit", ") ?", "be t", "b et", "▁v ict", "▁vi ct", "▁vic t", "Of f", "O ff", "▁appro xim", "▁G eb", "▁Ge b", "kt op", "k top", "he it", "▁ Ю", "tem plate", "temp late", "ро н", "р он", "▁u no", "▁un o", "▁ uno", "Ser v", "Se rv", "S erv", "▁frame work", "▁ framework", "oper ator", "opera tor", "▁gener ally", "▁general ly", "▁h undred", "▁d ivers", "▁di vers", "▁div ers", "▁diver s", "ov i", "o vi", "▁r és", "▁ré s", "▁ rés", "ab s", "a bs", "▁g al", "▁ga l", "▁ gal", "ça is", "ç ais", "▁fe et", "▁fee t", "▁v irtual", "▁virt ual", "▁ virtual", "cz y", "c zy", "ск у", "с ку", ". /", "h u", "an cy", "anc y", "▁recomm end", "▁п ід", "▁пі д", "▁m oney", "▁mon ey", "▁mo ney", "▁vers ions", "▁version s", "▁ versions", "▁hel ps", "▁help s", "▁H or", "▁Ho r", "▁ Hor", "Item s", "It ems", "lo ok", "l ook", "con nect", "conne ct", "conn ect", "an ges", "ang es", "ange s", "View Controller", "el ijk", "elij k", "eli jk", "e lijk", "▁occ up", "▁oc cup", "▁ occup", "▁ed itor", "▁edit or", "▁ editor", "au to", "aut o", "a uto", "ö g", "▁second s", "▁sec onds", "▁ seconds", "▁ob vious", "v m", "ak es", "ake s", "a kes", "▁g egen", "▁ge gen", "▁geg en", "▁t il", "▁ti l", "▁ til", "ject ion", "je ction", "j ection", "ле ння", "лен ня", "▁oper ations", "▁operation s", "▁E ast", "og y", "o gy", "▁P olit", "▁Pol it", "▁Po lit", "ut en", "ute n", "u ten", "▁Jose ph", "\" `", "▁Comp any", "▁ Company", "▁call back", "▁ callback", "▁s en", "▁se n", "▁ sen", "cc ión", "cció n", "c ción", "▁associ ated", "▁associate d", "▁cont aining", "▁contain ing", "▁pract ice", "elij ke", "elijk e", "e lijke", "ok e", "o ke", "ér a", "é ra", "un s", "u ns", "an ta", "ant a", "ve y", "v ey", "z u", "▁B es", "▁Be s", "▁F lor", "▁Fl or", "▁Flo r", "me m", "m em", "yc z", "y cz", "▁arch itect", "▁an ni", "▁ann i", "▁ anni", "▁cont act", "▁ contact", "Y PE", "▁C as", "▁Ca s", "▁по лу", "▁пол у", "ov o", "o vo", "▁b ring", "▁br ing", "▁con cept", "▁conce pt", "▁j s", "▁ js", "▁Refer encias", "em ble", "emb le", "embl e", "▁ н", "▁supp orted", "▁support ed", "▁ supported", "Bi g", "B ig", "▁H ans", "▁Ha ns", "▁Han s", "er v", "e rv", "▁M aj", "▁Ma j", "▁ar riv", "▁arr iv", "▁H ave", "▁Ha ve", "▁Hav e", "▁ Have", "▁prob ability", "▁probabil ity", "▁P op", "▁Po p", "▁ Pop", "▁P ass", "▁Pa ss", "▁Pas s", "▁ Pass", "to ken", "tok en", "t oken", "Pro vider", "▁R a", "Re ader", "Read er", "oot h", "oo th", "o oth", "la p", "l ap", "▁ass ist", "ad ow", "ado w", "▁t ests", "▁test s", "▁ tests", "сс и", "с си", "▁k ing", "▁ki ng", "▁kin g", "▁ king", "lang le", "lan gle", "l angle", "▁S um", "▁Su m", "▁ Sum", "O IN", "▁se curity", "▁sec urity", "▁ security", "ni s", "n is", ".. /", ". ./", "▁bas ic", "▁ basic", "un ity", "uni ty", "unit y", "` :", "▁ко то", "ko w", "k ow", "▁Bibli othèque", "as ion", "asi on", "al o", "a lo", "if est", "ife st", "i fest", "▁nov embre", "▁p eu", "▁pe u", "▁ Ж", "en schaft", "ensch aft", "cl us", "c lus", "ј у", "He ight", "ú n", "▁t ur", "▁tu r", "▁ide as", "▁idea s", "▁c es", "▁ce s", "▁ ces", "fr ak", "fra k", "f rak", "▁pre mier", "▁prem ier", "▁premi er", "it ation", "ita tion", "itat ion", "▁s é", "HT ML", "▁Ro yal", "▁Roy al", "сь кої", "сько ї", "▁by te", "▁ byte", "P S", "▁s egu", "▁se gu", "▁seg u", "▁ segu", "in en", "ine n", "i nen", "▁Gre at", "▁К у", "▁ex ternal", "▁ext ernal", "▁extern al", "▁ external", "T itle", "To p", "T op", "Pro cess", "Proc ess", "it ät", "itä t", "▁` /", "▁se cret", "▁sec ret", "▁secre t", "▁ secret", "pos itory", "▁pot ential", "▁B ud", "▁Bu d", "name s", "na mes", "nam es", "n ames", "as ons", "ason s", "aso ns", "stack exchange", "back ground", "пе р", "п ер", "со в", "с ов", "aft er", "af ter", "a fter", "▁p ero", "▁per o", "▁pe ro", "▁so ftware", "▁soft ware", "▁ software", "▁s ed", "▁se d", "▁ sed", "▁array s", "▁arr ays", "tm p", "t mp", "▁a sp", "▁as p", "▁ asp", "sc ale", "scal e", "▁L at", "▁La t", "▁ Lat", "an al", "ana l", "a nal", "▁g em", "▁ge m", "▁ gem", "P U", "▁Al tri", "▁Alt ri", "Th at", "T hat", "▁Н и", "if act", "ifa ct", "i fact", "Add ress", "▁s outh", "▁so uth", "▁sou th", "▁sout h", "▁form ula", "▁Col leg", "▁Coll eg", "▁і н", "▁ ін", "kt ion", "k tion", "▁s ac", "▁sa c", "S H", "aj o", "a jo", "et c", "e tc", "v c", "` ](", "▁D ur", "▁Du r", "▁М е", "▁Sm ith", "▁ Smith", "it ems", "ite ms", "item s", "C K", "el o", "e lo", "▁pl ugin", "▁plug in", "▁ plugin", "▁s erie", "▁se rie", "▁ser ie", "▁ serie", "ien ne", "ienn e", "i enne", "▁и ли", "Ma r", "M ar", "▁Im age", "▁ Image", "go t", "g ot", "an das", "and as", "anda s", "▁mat ches", "▁match es", "▁ matches", "▁w orth", "▁wor th", "▁ worth", "▁D eb", "▁De b", "▁ Deb", "▁c ache", "▁ca che", "▁ cache", "▁f elt", "▁fe lt", "▁fel t", "er sch", "ers ch", "iz es", "ize s", "i zes", "Op er", "O per", "▁Jah re", "▁Jahr e", "▁Ja hre", "▁comm une", "▁commun e", "th read", "▁n y", "▁ ny", "de c", "d ec", "ou w", "o uw", "▁sur face", "▁P or", "▁Po r", "▁St reet", "▁Stre et", "пр и", "п ри", "▁c andid", "▁can did", "▁cand id", "▁Re turn", "▁Ret urn", "▁ Return", "▁K om", "▁Ko m", "gr u", "g ru", "▁т и", "▁ ти", "[ \\", "▁dep ends", "▁depend s", "▁in flu", "▁inf lu", "▁infl u", "▁to wards", "▁toward s", "ain ed", "ai ned", "aine d", "a ined", "▁r ank", "▁ran k", "▁ rank", "▁Janu ar", "▁com ponents", "▁compon ents", "▁component s", "▁ components", "ge st", "ges t", "g est", "getElement ById", "▁check ed", "▁ checked", "air s", "ai rs", "a irs", "jo in", "j oin", "▁d ead", "▁de ad", "▁h it", "▁hi t", "▁ hit", "én y", "é ny", "▁equ ivalent", "▁equival ent", "▁П ре", "▁app ropri", "Pa ss", "P ass", "▁pr imer", "▁prim er", "▁pri mer", "▁prime r", "engl isch", "▁app ar", "▁ap par", "▁D uring", "▁Du ring", "▁Dur ing", "▁know ledge", "▁tr igger", "▁trig ger", "▁ trigger", "▁c ore", "▁cor e", "▁co re", "▁ core", "▁O l", "▁P rodu", "▁Pro du", "▁Pr odu", "▁ Produ", "▁F ern", "▁Fe rn", "▁Fer n", "▁ Fern", "▁на ча", "▁ нача", "T e", "▁M ot", "▁Mo t", "er ve", "erv e", "тв о", "т во", "▁m id", "▁mi d", "▁ mid", "▁fin ally", "▁final ly", "air es", "ai res", "aire s", "a ires", "▁es pecially", "▁espe cially", "▁especial ly", "▁t ut", "▁tu t", "▁rece ive", "ad re", "adr e", "▁ne igh", "▁nei gh", "kt et", "kte t", "il de", "ild e", "▁rad io", "▁radi o", "▁ radio", "▁d river", "▁dr iver", "▁drive r", "▁dri ver", "▁driv er", "▁ driver", "ли сь", "end encies", "enden cies", "▁I E", "▁ IE", "▁s aved", "▁sa ved", "▁sav ed", "▁save d", "▁ saved", "ff ect", "ffe ct", "f fect", "▁Way back", "ia t", "i at", "▁p adding", "▁pad ding", "▁ padding", "wind ow", "w indow", "ти че", "▁m ur", "▁mu r", "ac tor", "act or", "a ctor", "▁H an", "▁Ha n", "он аль", "она ль", "о наль", "▁g ar", "▁ga r", "▁ gar", "▁famil jen", "ó s", "▁n ationale", "▁national e", "▁nation ale", "▁nat ionale", "▁p ré", "▁pr é", "de d", "d ed", "on al", "ona l", "o nal", "▁Pres ident", "▁\\ ,", "▁ \\,", "▁place d", "▁pla ced", "er ni", "ern i", "▁sign al", "▁sig nal", "▁ signal", "na b", "n ab", "h m", "Mo n", "M on", "▁v s", "▁ vs", "S C", "▁proget ti", "▁ Ü", "▁for ms", "▁form s", "▁ forms", "▁message s", "▁mess ages", "▁ messages", "in f", "us ers", "use rs", "user s", "u sers", "GE T", "G ET", "▁d els", "▁de ls", "▁del s", "Col lection", "Coll ection", "Collect ion", "▁G ood", "▁Go od", "▁ Good", "▁May be", "▁ Maybe", "▁com pr", "▁comp r", "▁lar ger", "▁large r", "▁larg er", "gr es", "gre s", "g res", "ap er", "ape r", "a per", "▁П ри", "un des", "und es", "unde s", "▁s ea", "▁se a", "▁S pring", "▁Sp ring", "▁Spr ing", "▁ Spring", "ul o", "u lo", "▁me chan", "▁s ans", "▁sa ns", "▁san s", "G B", "Val id", "▁comm unic", "▁commun ic", "▁ communic", "▁p ra", "▁pr a", "vi er", "vie r", "v ier", "▁С е", "▁a in", "▁ai n", "▁ ain", "ту ра", "тур а", "ko m", "k om", "sk iego", "ski ego", "skie go", "ко во", "ков о", "к ово", "ad ata", "ada ta", "a data", "▁Р е", "▁bo olean", "▁ boolean", "se ts", "set s", "s ets", "▁eff ort", ". [", "▁z ostał", "P A", "▁V ict", "▁Vi ct", "▁Vic t", "S D", "ow ał", "owa ł", "▁e mb", "▁em b", "▁ emb", "▁pr ima", "▁prim a", "▁pri ma", "▁h our", "▁ho ur", "▁ hour", "sub section", "▁F ort", "▁For t", "▁Fo rt", "math frak", "ig in", "igi n", "i gin", "G L", ") +", "f i", "▁an ci", "▁anc i", "▁ anci", "▁p an", "▁pa n", "▁ pan", "\\ )", "▁l ug", "▁lu g", "▁dep loy", "▁ deploy", "do main", "dom ain", "▁s light", "▁sl ight", "JS ON", "J SON", "▁mor ning", "▁h i", "▁ hi", "▁comp are", "▁compar e", "▁ compare", "ij e", "i je", "▁bl ue", "▁ blue", "▁A c", "▁ Ac", "▁m iddle", "▁ middle", "an den", "and en", "ande n", "▁sh ared", "▁share d", "▁ shared", "▁C amp", "▁Cam p", "▁Ca mp", "▁ Á", "ound ed", "oun ded", "u w", "ier ung", "St ack", "▁e ines", "▁ein es", "▁eine s", "▁D a", "▁ Da", "li j", "l ij", "en ti", "ent i", "▁ й", "U til", "▁exper ience", "▁experien ce", "▁a wait", "▁aw ait", "▁ await", "ul s", "u ls", "▁request s", "▁requ ests", "▁ requests", "▁im pos", "▁imp os", "▁const raint", "▁ constraint", "Ch ange", "em ph", "emp h", "бе р", "б ер", "▁An other", "C ustom", "▁signific ant", "▁significa nt", "c r", "▁mill ion", "re ek", "ree k", "▁d alla", "▁da lla", "▁dal la", "▁dall a", "▁G erm", "▁Ge rm", "▁Ger m", "ot al", "ota l", "o tal", "at eur", "ate ur", "bt n", "b tn", "▁th inking", "▁think ing", "▁thin king", "▁inter val", "▁ interval", "on ne", "onn e", "▁l iv", "▁li v", "▁ liv", "() :", "( ):", "▁В е", "o e", "▁E v", "me ta", "met a", "m eta", "▁b road", "▁bro ad", "Re m", "R em", "ap ply", "app ly", "a pply", "▁cou ple", "▁coup le", "▁te chni", "▁techn i", "id ades", "ida des", "idad es", "idade s", "▁go al", "▁ goal", "▁C D", "▁ CD", "ha b", "h ab", "▁ex plan", "▁exp lan", "▁expla n", "▁expl an", "an ner", "ann er", "anne r", "▁B ecause", "bl og", "blo g", "b log", "include graphics", "▁vo ice", "▁ voice", "▁M ap", "▁Ma p", "▁ Map", "vent ion", "ven tion", "v ention", "S ession", "▁L iens", "▁Li ens", "▁Lie ns", "▁s or", "▁so r", "c ategory", "ash ington", "▁Mär z", "po p", "p op", "il let", "ill et", "ille t", "▁z wei", "▁zwe i", "▁zw ei", "▁L ie", "▁Li e", "N ull", "add ress", "addr ess", "▁f actor", "▁fact or", "▁fa ctor", "▁fac tor", "▁ factor", "▁l igne", "▁lig ne", "▁HT TP", "▁ HTTP", "▁s uf", "▁su f", "▁person al", "▁pers onal", "▁persona l", "ci p", "c ip", "▁D ar", "▁Da r", "▁a dm", "▁ad m", "ко й", "▁E xt", "▁Ex t", "▁ Ext", "▁g od", "▁go d", "▁ god", "a a", "R ight", "ét é", "é té", "▁d ynamic", "▁dynam ic", "▁ dynamic", "▁main tain", "to r", "t or", "#### ####", "▁F ra", "▁Fr a", "▁cho ice", "▁ choice", "▁с то", "▁ст о", "▁ сто", "С Р", "▁F eder", "▁Fe der", "▁Fed er", "st on", "sto n", "s ton", "▁f lag", "▁fl ag", "▁fla g", "▁ flag", "ki t", "k it", "Mod ule", "▁с по", "▁сп о", "▁ спо", "▁S tra", "▁St ra", "▁Str a", "ic ks", "ick s", "i cks", "▁h aven", "▁ha ven", "▁have n", "▁hav en", "▁M ass", "▁Ma ss", "▁Mas s", "▁E mp", "▁Em p", "▁ Emp", "▁P i", "▁ Pi", "▁P en", "▁Pe n", "Re ct", "Rec t", "R ect", "▁K r", "it at", "ita t", "i tat", "el er", "ele r", "e ler", "я бря", "it et", "ite t", "▁St art", "▁Sta rt", "▁Star t", "▁ Start", "▁produ ced", "▁produce d", "▁по л", "▁ пол", "( _", "▁de let", "▁del et", "▁h ot", "▁ho t", "▁ hot", "▁Gesch ichte", "~ ~", "▁month s", "▁mont hs", "▁t od", "▁to d", "▁ tod", "▁н и", "▁ ни", "ú s", "te mp", "tem p", "t emp", "▁D ez", "▁De z", "ype s", "yp es", "y pes", "▁c ui", "▁cu i", "om mun", "omm un", "act ions", "action s", "a ctions", "▁e igen", "▁eig en", "▁immedi ately", "▁immediate ly", "P L", "▁Г о", "▁B al", "▁Ba l", "▁ Bal", "љ е", "ul ui", "ulu i", "▁on line", "▁ online", "▁a ños", "▁añ os", "▁año s", "▁name space", "▁names pace", "▁ namespace", "▁m ond", "▁mon d", "▁mo nd", "▁ mond", "▁B ase", "▁Bas e", "▁Ba se", "▁ Base", "▁Can ada", "▁Canad a", "et zt", "etz t", "} -", "▁de fin", "▁def in", "▁ defin", "▁dou bt", "▁doub t", "▁inv estig", "▁invest ig", "view s", "vie ws", "▁L ine", "▁Li ne", "▁Lin e", "▁ Line", "▁st age", "▁sta ge", "▁stag e", "▁ stage", "ett ings", "ub re", "u bre", "f loat", "▁P lay", "▁Pl ay", "▁Pla y", "▁ Play", "▁L as", "▁La s", "pt r", "p tr", "▁be comes", "▁become s", "▁becom es", "est amp", "esta mp", "▁in dependent", "▁indep endent", "▁independ ent", "▁anal ysis", "▁ analysis", "▁L ook", "▁Lo ok", "▁ Look", "la in", "l ain", "▁ра с", "Re ference", "▁s orry", "▁sor ry", "▁supp osed", "▁suppose d", "▁sup posed", "û t", "▁deg ree", "ut z", "u tz", "M M", "▁des ired", "▁desire d", "ł y", "▁l en", "▁le n", "▁ len", "▁al one", "▁ alone", "sign ed", "sig ned", "s igned", "▁S ta", "▁St a", "Per son", "Pers on", "P erson", "▁app lied", "▁B ack", "▁Ba ck", "▁Bac k", "▁ Back", "▁m ars", "▁ma rs", "▁mar s", "Par t", "Pa rt", "P art", "▁D id", "▁Di d", "▁ Did", "▁extern es", "▁externe s", "▁n p", "▁ np", "on go", "ong o", "▁e sta", "▁est a", "▁es ta", "▁ esta", "Bl ock", "B lock", "▁p ou", "▁po u", "ad ores", "ado res", "ador es", "▁St udio", "▁Stud io", "▁ Studio", ". $", "▁re ached", "▁reach ed", "bo t", "b ot", "▁J uni", "▁Ju ni", "▁Jun i", "to ns", "ton s", "t ons", "it el", "ite l", "i tel", "▁G ar", "▁Ga r", "▁art icles", "▁article s", "▁ articles", "▁D istrict", "▁Dist rict", "▁tr ouble", "▁trou ble", "li de", "l ide", "▁F ound", "▁Fou nd", "▁Fo und", "▁ Found", "á d", "▁e quip", "▁equ ip", "▁in ternal", "▁int ernal", "▁inter nal", "▁intern al", "▁ internal", "'] ,", "' ],", "▁a sync", "▁as ync", "▁ async", "U B", "ge l", "g el", "▁a i", "▁ ai", "ens ure", "▁app eared", "▁appear ed", "▁appe ared", "▁$ _", "▁ $_", "▁max imum", "▁maxim um", "▁С и", "р ь", "▁ann oun", "▁anno un", "ла сь", "▁c m", "▁ cm", "га н", "г ан", "au pt", "a upt", "▁l atter", "▁lat ter", "▁pl atform", "▁plat form", "▁ platform", "▁d ra", "▁dr a", "▁ dra", "▁cap ital", "▁capit al", "▁sol ved", "▁solve d", "ri z", "r iz", "ed ic", "edi c", "e dic", "▁M ur", "▁Mu r", "▁T op", "▁To p", "▁ Top", "т ся", "Pa nel", "Pane l", "Pan el", "P anel", "ru le", "r ule", "et ic", "eti c", "▁R en", "▁Re n", "▁Wik imedia", "▁ Wikimedia", "▁T O", "▁ TO", "se cond", "sec ond", "is l", "i sl", "▁h y", "▁ hy", "▁n iet", "▁nie t", "▁ni et", "▁lo aded", "▁load ed", "▁ loaded", "di g", "d ig", "▁ma yo", "▁may o", "[ :", "Ac c", "A cc", "▁b ek", "▁be k", "▁ bek", "ни ю", "lo gin", "log in", "t x", "▁F ur", "▁Fu r", "▁S anta", "▁San ta", "▁Sant a", "az z", "a zz", "▁con duct", "▁cond uct", "▁condu ct", "▁In dia", "▁Ind ia", "Or der", "Ord er", "ir th", "irt h", "t w", "} +", "▁w ieder", "▁wie der", "▁E du", "▁Ed u", "A V", "▁` ``", "▁`` `", "▁ ```", "▁man ually", "▁manual ly", "▁R ead", "▁Re ad", "▁ Read", "fortun ately", "▁R un", "▁Ru n", "▁ Run", "▁A ward", "▁Aw ard", "▁F oot", "▁Foo t", "▁Fo ot", "▁ Foot", "* )", "par ams", "param s", "pa rams", "para ms", "п і", "▁n ative", "▁nat ive", "▁ native", "ri ft", "rif t", "r ift", "▁ ä", "AT H", "A TH", "▁your self", "▁yours elf", "▁p rior", "▁pr ior", "▁pri or", "▁c it", "▁ci t", "▁ cit", "ä h", "▁tre at", "▁me as", "rib uted", "ribute d", "ribu ted", "▁c lar", "▁cl ar", "▁cla r", "▁ clar", "ca rd", "car d", "c ard", "RO R", "R OR", "il les", "ill es", "ille s", "i lles", "▁l ayer", "▁la yer", "▁lay er", "▁ layer", "au er", "a uer", "▁r at", "▁ra t", "▁ rat", "bern ate", "▁st ato", "▁stat o", "▁sta to", "▁Ch ina", "▁Chi na", "▁$ ('#", "▁$(' #", "▁n aar", "▁na ar", "zi p", "z ip", "▁$ {\\", "▁${ \\", "▁appreci ated", "▁appreciate d", "▁и ме", "▁им е", "ż y", "▁prze z", "▁prz ez", "▁Ind ian", "▁India n", "▁T od", "▁To d", "▁S ource", "▁ Source", "▁дру ги", "in ternal", "int ernal", "inter nal", "intern al", "ion ale", "ional e", "iona le", "Pro duct", "Produ ct", "▁M en", "▁Me n", "▁ Men", "▁u pper", "▁up per", "▁upp er", "▁ upper", "▁E very", "▁Ev ery", "▁Ever y", "▁ Every", "}, \\", "} ,\\", "▁print f", "▁prin tf", "▁ printf", "▁contin ued", "▁continu ed", "▁continue d", "▁n odes", "▁no des", "▁node s", "▁nod es", "▁ nodes", "л ки", "▁n ice", "▁ni ce", "▁nic e", "▁ nice", "mod ules", "module s", "ei gn", "e ign", "▁M ex", "▁Me x", "▁Acc ording", "▁un defined", "▁und efined", "▁ undefined", "▁b inary", "▁bin ary", "▁ binary", "cu t", "c ut", "Cur rent", "C urrent", "ed y", "e dy", "}} {", "} }{", "ble s", "bl es", "b les", "▁во й", "▁ вой", "sc ri", "scr i", "s cri", "eq n", "Ch anged", "Change d", "▁kö z", "▁rem ote", "▁ remote", "в ля", "▁qu el", "▁que l", "▁q uel", "▁ quel", "▁al ign", "▁ali gn", "▁ align", "▁п ар", "▁па р", "▁ пар", "S V", "ye r", "y er", "▁Cal iforn", "▁p laces", "▁pl aces", "▁place s", "▁pla ces", "▁prim ary", "▁pri mary", "▁prima ry", "▁ primary", "▁con v", "▁ conv", "▁J uli", "▁Jul i", "▁Ju li", "▁vis ual", "▁ visual", "▁S elect", "▁Se lect", "▁Sel ect", "▁Sele ct", "▁ Select", "at ory", "ator y", "ato ry", "= (", "is er", "ise r", "i ser", "▁int ent", "▁inte nt", "▁inten t", "▁ intent", "su r", "s ur", "cont ainer", "ic ed", "ice d", "i ced", "▁bo ard", "▁ board", "as tr", "ast r", "a str", "om ial", "omi al", "ве т", "в ет", "з ва", "▁c ru", "▁cr u", "▁Ok tober", "sa ve", "s ave", "▁gre ater", "▁great er", "▁in n", "▁i nn", "▁ inn", "▁p icture", "▁ picture", "▁Т о", "▁obtain ed", "▁obt ained", "Wik imedia", "ú blic", "▁l ors", "▁lo rs", "▁m ont", "▁mon t", "▁mo nt", "▁ mont", "ob re", "o bre", "▁c ivil", "▁ci vil", "▁civ il", "▁const ruction", "▁construct ion", "▁constru ction", "▁W elt", "▁We lt", "▁Wel t", "▁U nder", "▁Un der", "▁Und er", "▁ Under", "und ert", "under t", "unde rt", "▁ed ge", "▁ edge", "▁L iste", "▁List e", "▁Li ste", "▁Lis te", "cs v", "c sv", "▁ex periment", "▁exper iment", "local host", "▁E dit", "▁Ed it", "▁ Edit", "gr eg", "gre g", "g reg", "ov á", "o vá", "љ а", "ms g", "m sg", "▁G reen", "▁Gr een", "▁Gre en", "▁Gree n", "▁ Green", "Di alog", "D ialog", "Id ent", "I dent", "▁J S", "▁ JS", "^{ (", "^ {(", "▁slä ktet", "__ __", "___ _", "_ ___", "Pro ject", "▁bes kre", "▁b er", "▁be r", "▁ ber", "▁would n", "▁re act", "▁ react", "He l", "H el", "z w", "▁W ashington", "or ie", "ori e", "o rie", "ta sk", "t ask", "▁c ategory", "▁categ ory", "▁categor y", "▁ category", "▁art ist", "an no", "ann o", "▁o ok", "▁ ook", "am men", "amm en", "▁Min ister", "▁de clar", "▁dec lar", "▁decl ar", "▁decla r", "▁K ey", "▁Ke y", "▁ Key", ", .", "▁m ach", "▁ma ch", "▁mac h", "▁w w", "▁ ww", "is en", "ise n", "i sen", "Fr an", "F ran", "▁Ро сси", "▁Рос си", "бо р", "б ор", "т ри", "▁r ock", "▁ro ck", "▁ rock", "qu is", "qui s", "q uis", "mo s", "m os", "пе ра", "пер а", "п ера", "▁est erni", "▁g old", "▁go ld", "▁gol d", "Window s", "W indows", "% %", "▁part ial", "▁parti al", "▁ partial", "▁we ight", "▁ weight", "▁s pr", "▁sp r", "▁ spr", "}) .", "} ).", "▁fran çais", "fu n", "f un", "▁th ous", "▁thou s", "ho lder", "hol der", "hold er", "h older", "▁g one", "▁go ne", "▁ Č", "▁re nd", "▁r end", "▁ren d", "▁ rend", "D A", "▁answer ed", "▁F alse", "▁Fal se", "▁ False", "B uffer", "▁d augh", "▁da ugh", ".- -", ". --", "▁S how", "▁Sh ow", "▁Sho w", "▁ Show", "▁re ct", "▁r ect", "▁rec t", "▁ rect", "▁K re", "▁Kr e", "d r", "os oph", "oso ph", "▁y ield", "ur ity", "uri ty", "to String", "av al", "ava l", "a val", "Po l", "P ol", "▁l ock", "▁lo ck", "▁loc k", "▁ lock", "im ation", "ima tion", "imat ion", "ant ic", "anti c", "Lo cal", "Loc al", "L ocal", "▁beskre vs", "it és", "ité s", "gr id", "g rid", "у т", "▁_ {", "▁ _{", "с і", "FI LE", "▁к м", "▁spe ak", "sum mary", "pr op", "pro p", "p rop", "java script", "j avascript", "z k", "izont al", "izon tal", "▁tr ois", "▁tro is", "▁R od", "▁Ro d", "pr ise", "ро во", "ров о", "р ово", "▁o dd", "▁od d", "▁ odd", "▁g est", "▁ge st", "▁ges t", "▁ gest", "▁produ ce", "▁prod uce", "▁w aar", "▁wa ar", "▁A v", "▁ Av", "ri bu", "rib u", "ва ння", "ван ня", "▁fin ished", "▁finish ed", "▁ad apt", "▁S ar", "▁Sa r", "text it", "tex tit", "▁C e", "▁F a", "▁ Fa", "os en", "ose n", "o sen", "▁de riv", "▁der iv", "▁s hip", "▁sh ip", "▁ ship", "▁o pin", "▁op in", "▁E ven", "▁Ev en", "ge sch", "ges ch", "g esch", "▁supp ose", "▁sup pose", "▁F er", "▁Fe r", "ско е", "▁w orden", "▁word en", "▁wor den", "se y", "s ey", "hl ine", "h line", "▁Un ion", "▁ Union", "▁/ **", "▁/* *", "▁ /**", "▁v ez", "▁ve z", "▁ vez", "▁Colleg amenti", "▁Soci ety", "▁Soc iety", "▁e conom", "▁econ om", "▁ec onom", "š í", "o i", "▁or ient", "▁ orient", "▁T eil", "▁Te il", "re nt", "ren t", "r ent", "ле кс", "лек с", "▁s olid", "▁sol id", "▁c art", "▁car t", "▁ca rt", "▁ cart", "******** ********", "▁c ab", "▁ca b", "▁M essage", "▁Mess age", "▁ Message", "do ts", "dot s", "d ots", "▁é g", "▁ ég", "▁t we", "▁tw e", "ag a", "a ga", "▁n az", "▁na z", "▁M icrosoft", "▁Micro soft", "▁ Microsoft", "▁under arter", "pp en", "ppe n", "p pen", "▁re cent", "▁rec ent", "▁rece nt", "▁n et", "▁ne t", "▁ net", "▁res ources", "▁resource s", "▁ resources", "St e", "S te", ". \\", "▁S O", "▁ SO", "ло м", "л ом", "▁c ele", "▁ce le", "▁cel e", "▁l ic", "▁li c", "▁ lic", "▁ben ef", "▁bene f", "ld ots", "l dots", "▁se rial", "▁ser ial", "▁seria l", "▁ serial", "In teger", "cl es", "cle s", "c les", "▁m iles", "▁mil es", "▁mi les", "▁mile s", "▁A le", "▁Al e", "▁en tered", "▁ent ered", "▁enter ed", "▁T wo", "▁Tw o", "▁ Two", "wi e", "w ie", "▁in cludes", "▁incl udes", "▁includ es", "▁include s", "▁inclu des", "▁ includes", "▁E ach", "▁ Each", "el ling", "ell ing", "elli ng", "qu er", "que r", "q uer", "▁D om", "▁Do m", "▁ Dom", "p f", "W S", "▁stra ight", "▁S tan", "▁St an", "▁Sta n", "▁n os", "▁no s", "▁ nos", "í cul", "at ro", "atr o", "▁C enter", "▁Cent er", "▁ Center", "F T", "▁In ga", "▁Ing a", "il o", "i lo", "▁w ww", "▁ww w", "▁ www", "js fiddle", "ni c", "n ic", "▁Europe an", "▁com mer", "▁comm er", "▁comme r", "▁g irl", "▁gi rl", "▁gir l", "to tal", "tot al", "t otal", "▁S tar", "▁St ar", "▁Sta r", "▁ Star", "▁sugg ested", "▁suggest ed", "pa l", "p al", "▁zw ischen", "пи са", "пис а", "I M", "▁hand ler", "▁handle r", "▁ handler", "▁Pro gram", "▁Pr ogram", "▁ Program", "xs l", "x sl", "ál y", "á ly", "B U", ",- -", ", --", "▁v id", "▁vi d", "▁ vid", "▁estab lished", "▁establish ed", "▁S piel", "▁Sp iel", "om etry", "ome try", "omet ry", "un es", "une s", "u nes", "▁s it", "▁si t", "▁in her", "▁p uis", "▁pu is", "▁ puis", "▁ être", "▁M ost", "▁Mo st", "▁Mos t", "He ader", "Head er", "in sert", "ins ert", "▁s ist", "▁si st", "▁f avor", "▁fa vor", "▁fav or", "de st", "des t", "d est", "▁ent ity", "▁ entity", "Ca l", "C al", "▁There fore", "D D", "; ;", "▁Dez ember", "▁R h", "im ents", "iment s", "imen ts", "i ments", "▁return ing", "st o", "s to", "▁Val ue", "▁ Value", "▁l iber", "▁li ber", "▁lib er", "▁Res ult", "▁ Result", "▁b ind", "▁bi nd", "▁bin d", "▁ bind", "vo ir", "v oir", "▁T im", "▁Ti m", "▁ Tim", "▁M ovie", "▁Mo vie", "▁Mov ie", "▁ Movie", "we g", "w eg", "ke t", "k et", "▁и сто", "▁ис то", "▁fri ends", "▁friend s", "▁f n", "▁ fn", "▁é l", "▁ él", "▁& =", "▁ &=", "ar den", "ard en", "arde n", "ff icial", "ffic ial", "▁comm unity", "▁commun ity", "▁ community", "▁a pi", "▁ap i", "▁ api", "Ar gs", "Arg s", "ie ren", "ier en", "iere n", "i eren", "▁d ann", "▁da nn", "▁dan n", "om orph", "ad r", "a dr", "lo op", "l oop", "um an", "uma n", "u man", "▁v ous", "▁vo us", "▁vou s", "▁ vous", "bs t", "b st", "sub mit", "\\ |", "ти н", "т ин", "Cont ainer", "as ket", "ask et", "? )", "Se c", "S ec", "▁d rive", "▁dr ive", "▁dri ve", "▁driv e", "▁ drive", "As s", "A ss", "▁s we", "▁sw e", "▁a mer", "▁am er", "▁ amer", "▁m ine", "▁min e", "▁mi ne", "▁ mine", "▁H am", "▁Ha m", "▁av ait", "▁ avait", "▁H on", "▁Ho n", "▁a près", "▁ap rès", "▁apr ès", "▁ après", "▁M ann", "▁Man n", "▁Ma nn", "сь ка", "ськ а", "▁incre ase", "▁t y", "▁ ty", "sk y", "s ky", "▁acc ur", "▁ac cur", "art icle", "we ight", "weig ht", "▁s ex", "▁se x", "▁ sex", "▁list ade", "▁lista de", "/* *", "/ **", "▁est á", "}} $", "} }$", "ar go", "arg o", "def ine", "defin e", "▁со став", "▁соста в", "s ession", "ad s", "a ds", "ст ви", "ств и", "▁L aw", "▁La w", "▁d ialog", "▁di alog", "▁dia log", "▁ dialog", "▁dup licate", "▁é p", "▁ ép", "▁v oc", "▁vo c", "fr i", "f ri", "▁g reen", "▁gr een", "▁gre en", "▁ green", "▁h idden", "▁hid den", "▁ hidden", "▁Is land", "▁di ag", "▁dia g", "ow ej", "owe j", "my sql", "mys ql", "mysq l", "te il", "tei l", "t eil", "r ä", "ik an", "ika n", "i kan", "▁Jos é", "al ed", "ale d", "a led", "Run time", "R untime", "▁t rain", "▁tr ain", "▁tra in", "▁ train", "▁Di vision", "▁Div ision", "ни ц", "▁S pan", "▁Sp an", "▁ Span", "ни ма", "ним а", ")= \\", ") =\\", "та н", "т ан", "▁st ay", "▁sta y", "▁f oo", "▁fo o", "▁ foo", "▁acc om", "▁ac com", "▁h ers", "▁he rs", "▁her s", "▁на у", "▁M ün", "ide os", "ideo s", "st atic", "stat ic", "▁re ady", "▁read y", "▁ ready", "] `", "▁vis ible", "▁vi sible", "▁ visible", "▁H ope", "▁Ho pe", "▁Hop e", "ul ated", "ula ted", "ulate d", "▁C ult", "▁Cu lt", "ст ро", "стр о", "с тро", "C o", "▁sm aller", "▁small er", "at ura", "atur a", "atu ra", "▁perfect ly", "re q", "r eq", "▁pro posed", "▁prop osed", "▁propos ed", "▁propose d", "▁deg li", "Se arch", "S earch", "▁i ch", "▁ic h", "▁ ich", "Ma x", "M ax", "▁vol ume", "▁ 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"▁plan t", "▁ plant", "▁enc oding", "▁ encoding", "▁th rows", "▁thr ows", "▁throw s", "▁thro ws", "▁R ock", "▁Ro ck", "▁Roc k", "zo ne", "zon e", "z one", "ga ng", "gan g", "g ang", "wid get", "w idget", "▁interest ing", "DE R", "D ER", "▁d emon", "▁de mon", "▁dem on", "▁demo n", "▁off ice", "▁offic e", "▁ office", "am t", "a mt", "ät er", "ä ter", "▁Wh ite", "▁Whit e", "▁ White", "▁v ersch", "▁ver sch", "▁vers ch", "▁die ser", "▁dies er", "▁diese r", "▁M ount", "▁Mo unt", "▁Mou nt", "▁ Mount", "▁stud ents", "▁student s", "▁P ub", "▁Pu b", "▁ Pub", "▁Д е", "ij a", "i ja", "▁C y", "▁ Cy", "▁Californ ia", "▁ab ril", "äl l", "ä ll", "▁ч ем", "▁че м", "T V", "▁m és", "▁mé s", "▁decl ared", "▁decla red", "▁declar ed", "▁declare d", "▁ ю", "ő l", "ap pa", "app a", "a ppa", "▁Б е", "ec ho", "ech o", "e cho", "num er", "nu mer", "n umer", "▁po sted", "▁pos ted", "▁post ed", "▁poste d", "▁в ер", "▁ве р", "▁ вер", "▁годи не", "▁we ak", "▁ weak", "▁Re public", "▁Rep ublic", "▁Repub lic", "▁ch 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"▁ Call", "▁explan ation", "or ing", "ori ng", "o ring", "AT A", "A TA", "ch ter", "cht er", "chte r", "wh en", "w hen", "V C", "▁Jah rh", "▁Jahr h", "Ca se", "C ase", "▁comm ands", "▁command s", "▁ commands", "▁r ich", "▁ric h", "▁ri ch", "▁ rich", "bu s", "b us", "F e", "mb ox", "m box", "▁re con", "▁rec on", "ñ o", "▁s hape", "▁sh ape", "▁ shape", "ow y", "o wy", "en try", "ent ry", "entr y", "it able", "ita ble", "i table", "▁e lection", "▁el ection", "▁elect ion", "▁ele ction", "є ться", "▁p rep", "▁pr ep", "▁pre p", "▁ prep", "v á", "▁in fin", "▁inf in", "lo t", "l ot", "▁bo oks", "▁book s", "▁ books", "▁U SA", "▁US A", "▁ USA", "ли н", "л ин", "▁p om", "▁po m", "▁ pom", "▁n as", "▁na s", "▁ nas", "▁t ags", "▁tag s", "▁ta gs", "▁ tags", "▁exec uted", "▁execute d", "▁execut ed", "ail le", "ai lle", "a ille", "lu ng", "l ung", "▁Java Script", "▁ JavaScript", "▁b all", "▁bal l", "▁ba ll", "▁ ball", "▁ain si", "▁P ri", "▁Pr i", "{ $", "▁U N", "▁ UN", "▁R am", "▁Ra m", "▁h ear", "▁he ar", "▁U buntu", ">( );", ">() ;", "> ();", "▁p ure", "▁pu re", "▁pur e", "▁em bed", "▁emb ed", "▁ embed", "a ção", "cont roller", "control ler", "▁mar ried", "▁F ol", "▁Fo l", "fa mil", "f amil", "▁p rec", "▁pr ec", "▁pre c", "▁ prec", "▁rec urs", "pa d", "p ad", "istr ation", "istra tion", "▁respect ively", "▁respective ly", "[ $", "au tor", "aut or", "auto r", "a utor", "▁g rav", "▁gr av", "▁gra v", "ie ra", "ier a", "i era", "az ioni", "azi oni", "a zioni", "▁B ul", "▁Bu l", "▁Austral ia", "mon d", "mo nd", "m ond", "▁T ro", "▁Tr o", "▁E le", "▁El e", "pack ages", "package s", "ms dn", "▁A ls", "▁Al s", "▁pr zy", "▁prz y", "AR T", "A RT", "▁char ge", "▁charg e", "▁ charge", "▁app lications", "▁application s", "▁applic ations", "Un it", "Uni t", "U nit", "ar en", "are n", "a ren", "▁sud den", "om eter", "ome ter", "omet er", "o meter", "▁d ot", "▁do t", "▁ dot", "ac ji", "a cji", "кт ор", "кто р", "к тор", "im in", "imi n", "i min", "en ing", "eni ng", "e ning", "▁d onde", "▁do nde", "▁don de", "▁H o", "tr ee", "tre e", "t ree", "m b", "▁d rag", "▁dr ag", "▁dra g", "▁ drag", "aj e", "a je", "▁in valid", "▁ invalid", "▁fin ish", "la im", "▁f eed", "▁fe ed", "▁fee d", "▁ feed", "▁N ap", "▁Na p", "ro om", "r oom", "im ages", "ima ges", "image s", "▁са й", "▁su cc", "▁suc c", "if fer", "iff er", "iffe r", "▁a ño", "▁añ o", "▁c ual", "▁cu al", "ме ри", "мер и", "D R", "▁B ilder", "▁Bi lder", "▁Bild er", "▁Bil der", "б ра", "ra it", "rai t", "r ait", "pa n", "p an", "ен ь", "е нь", "▁dist inct", "▁K n", "ön ig", "ö nig", "an ced", "ance d", "anc ed", "▁lo ading", "▁load ing", "▁ loading", "▁Te chn", "▁S el", "▁Se l", "mu s", "m us", "▁r ail", "▁ra il", "▁st udent", "▁stud ent", "▁ student", "▁not ice", "▁s la", "▁sl a", "▁Д а", "▁gu ard", "▁ guard", "▁D ay", "▁Da y", "▁ Day", "ва ли", "вал и", "в али", "Op tion", "Opt ion", "O ption", "ais on", "ai son", "a ison", "ip p", "i pp", "▁J un", "▁Ju n", "▁f ell", "▁fe ll", "▁fel l", "▁ab solute", "▁absol ute", "▁ absolute", "ов е", "о ве", "de bug", "deb ug", "▁S ud", "▁Su d", "п ы", "ug ins", "ugin s", "▁view s", "▁vie ws", "▁ views", "la y", "l ay", "▁s urr", "▁su rr", "▁sur r", "▁st ood", "▁sto od", "▁ stood", "▁в і", "▁ ві", "select ed", "sel ected", "г і", "▁att ributes", "▁attribute s", "▁ attributes", "fin al", "fi nal", "f inal", "en da", "end a", "▁B on", "▁Bo n", "ne rs", "ner s", "n ers", "▁W er", "▁We r", "bu r", "b ur", "it tel", "itt el", "itte l", "▁m oving", "▁mov ing", "▁mo ving", "▁P lan", "▁Pl an", "▁Pla n", "▁ Plan", "is ches", "isch es", "ische s", "isc hes", "J ava", "▁b asis", "▁bas is", "▁B us", "▁Bu s", "▁ Bus", "▁A u", "▁I ll", "▁Il l", "▁ Ill", "▁вре мя", "▁ц ент", "▁ цент", "hand le", "сту п", "▁F ar", "▁Fa r", "▁o raz", "▁or az", "▁ora z", "oc r", "o cr", "▁se it", "▁sei t", "on der", "ond er", "onde r", "o nder", "до м", "д ом", ": /", "ch or", "cho r", "c hor", "▁T own", "▁To wn", "▁Tow n", "▁def init", "▁defin it", "re act", "rea ct", "▁pie ce", "▁Kar l", "▁Ka rl", "C I", "▁App lication", "▁ Application", "un ter", "unt er", "unte r", "▁for med", "▁form ed", "▁forme d", "▁ formed", "▁п у", "▁ пу", "B o", "▁Dan iel", "▁ Daniel", "▁п ла", "▁ пла", "Bo dy", "B ody", "}) $", "} )$", "▁бы ли", "▁был и", "▁e arth", "▁ear th", "г ла", "Th ere", "The re", "T here", "▁с тра", "▁ст ра", "▁ стра", "▁v ille", "▁vi lle", "▁vill e", "▁vil le", "▁ ville", "▁c entre", "▁cent re", ") \r", "▁help ful", "▁+ +", "▁ ++", "▁C G", "▁ CG", "iz ione", "izi one", "izio ne", "i zione", "▁G ame", "▁Ga me", "▁Gam e", "▁ Game", "▁Wh ich", "▁p ip", "▁pi p", "▁ pip", "▁Port ug", "D S", "▁de scribe", "▁des cribe", "▁descri be", "▁check ing", "▁man ager", "▁manage r", "▁ manager", "B O", "▁B undes", "▁Bund es", "▁Bun des", "bu ch", "b uch", "▁dec ided", "▁decide d", "▁decid ed", "▁Jahrh undert", "▁f if", "▁fi f", "▁ fif", "e fficient", "an ci", "anc i", "br aries", "bra ries", "▁f ails", "▁fa ils", "▁fail s", "▁k ernel", "▁ker nel", "▁ kernel", "▁G l", "▁N acional", "▁pro ceed", "▁proc eed", "▁f uer", "▁fue r", "▁fu er", "▁l iving", "▁li ving", "▁liv ing", "▁success fully", "▁successful ly", "▁f aster", "▁fa ster", "▁fast er", "▁fas ter", "▁con tre", "▁cont re", "▁contr e", "▁ contre", "▁pr ison", "▁pri son", "▁pris on", "OR T", "O RT", "he lp", "hel p", "▁a utor", "▁au tor", "▁aut or", "▁auto r", "▁ autor", "ła w", "ł aw", "aj ą", "a ją", "▁A rm", "▁Ar m", "▁ Arm", "▁pro vin", "▁prov in", "▁na am", "/ #", "se d", "s ed", "▁g esch", "▁ge sch", "▁ges ch", "▁ gesch", "▁м ар", "▁ма р", "▁ мар", "es k", "e sk", "ter m", "te rm", "t erm", "▁T ex", "▁Te x", "▁ Tex", "ir ing", "iri ng", "i ring", "▁t ools", "▁to ols", "▁too ls", "▁tool s", "▁ tools", "PD F", "P DF", "▁u lt", "▁ul t", "▁ ult", "iss enschaft", "issen schaft", "▁could n", "di ng", "din g", "d ing", "De p", "D ep", "{ -", "▁pre dict", "▁pred ict", "▁ predict", "ant age", "anta ge", "▁L ike", "▁Li ke", "▁ Like", "▁Б и", "to ols", "tool s", "t ools", "es tra", "est ra", "estr a", "e stra", "▁k i", "▁ ki", "▁J im", "▁Ji m", "st ar", "sta r", "s tar", "▁re mark", "▁r emark", "▁rem ark", "▁ remark", "ó g", "na bla", "nab la", "▁Al though", "mod e", "mo de", "m ode", "H ost", "▁st range", "▁str ange", "▁stran ge", "No ne", "Non e", "N one", "bl ack", "bla ck", "b lack", "▁F estival", "▁Fest ival", "▁I S", "▁ IS", "an za", "anz a", "▁( -", "▁ (-", "ic ket", "ick et", "i cket", "ко ла", "кол а", "▁J es", "▁Je s", "▁f lex", "▁fl ex", "▁fle x", "▁ flex", "▁ À", "▁N etwork", "▁Net work", "▁ Network", "▁E X", "▁ EX", "▁e nero", "▁en ero", "▁ener o", "! ”", "▁O rt", "▁Or t", "▁al ors", "▁Or iginal", "▁Origin al", "▁Orig inal", "▁ Original", "▁z o", "▁ zo", "ны ми", "ным и", "▁s pl", "▁sp l", "▁ spl", "Dra w", "Dr aw", "D raw", "yo nd", "y ond", "─ ─", "▁O t", "▁d ram", "▁dr am", "▁dra m", "▁di vision", "▁div ision", "▁divis ion", "▁e fficient", "▁effic ient", "▁ efficient", "▁Г а", "▁v ier", "▁vi er", "▁vie r", "▁ vier", "na k", "n ak", "L S", "▁sp irit", "▁spir it", "zeich net", "▁d ici", "▁di ci", "▁dic i", "cl ear", "cle ar", "c lear", "co py", "cop y", "c opy", "ya r", "y ar", "▁ро ці", "us qu", "u squ", "▁n ous", "▁no us", "▁nou s", "▁b lev", "▁bl ev", "▁ble v", "ж де", "Ar g", "A rg", "▁per formed", "▁perform ed", "▁M ake", "▁Ma ke", "▁Mak e", "▁ Make", "▁Car ol", "▁Ca rol", "et to", "ett o", "e tto", "▁S and", "▁San d", "▁Sa nd", "▁D isc", "▁Dis c", "▁Di sc", "En c", "E nc", "re ro", "rer o", "r ero", "ha sh", "has h", "h ash", "▁f ocus", "▁fo cus", "▁foc us", "▁ focus", "▁att ention", "▁a gre", "▁ag re", "▁agr e", "▁di vis", "▁div is", "▁бы ло", "▁был о", "▁e j", "▁ ej", "▁m arch", "▁mar ch", "▁marc h", "▁ph ase", "▁ phase", "ía s", "í as", "▁ph il", "▁P ap", "▁Pa p", "▁r iver", "▁riv er", "▁ri ver", "▁ river", "▁c aused", "▁caus ed", "▁cause d", "▁ca used", "pl ugin", "▁Te am", "▁ Team", "ul er", "ule r", "u ler", "▁$ (\"#", "▁$(\" #", "ie j", "i ej", "I SBN", "na m", "n am", "▁f ight", "▁fig ht", "vi d", "v id", "▁L ud", "▁Lu d", "Select ed", ":@ \"", ": @\"", "▁P od", "▁Po d", "▁ Pod", "▁ann ées", "▁année s", "ar ios", "ari os", "ario s", "a rios", "▁deutsch er", "▁deutsche r", "▁N A", "▁ NA", "▁и ю", "▁d ictionary", "▁diction ary", "▁ dictionary", "▁Л а", "▁T ri", "▁Tr i", "▁ Tri", "è n", "▁polit ical", "rid ge", "r idge", "at ten", "att en", "atte n", "▁circ le", "▁cir cle", "▁ circle", "▁trans port", "▁ transport", "em as", "ema s", "e mas", "F C", "▁replace d", "▁repla ced", "▁A ud", "▁Au d", "is ka", "isk a", "i ska", "Config uration", "▁so ort", "▁Н е", "▁s equ", "▁se qu", "▁seq u", "▁ sequ", "PR O", "P RO", "▁b ud", "▁bu d", "▁ bud", "▁{ {", "▁ {{", "lie ß", "l ieß", "▁M as", "▁Ma s", "de rs", "der s", "d ers", "us ammen", "es a", "e sa", "▁L y", "в ро", "ma c", "m ac", "▁и спо", "▁ис по", "▁s uc", "▁su c", "u y", "▁ill ustr", "▁prim era", "▁prime ra", "▁primer a", "il ation", "ila tion", "i lation", "▁st orage", "▁stor age", "▁sto rage", "▁ storage", "▁par ams", "▁para ms", "▁param s", "▁pa rams", "▁ params", "ka z", "k az", "▁term inal", "▁termin al", "ра ль", "рал ь", "р аль", "▁h olds", "▁hold s", "▁hol ds", "▁ holds", "ло сь", "▁n ad", "▁na d", "▁ nad", "” .", "▁oct ubre", "bu l", "b ul", "▁h us", "▁hu s", "▁ hus", "UL T", "U LT", "▁ég alement", "▁M ill", "▁Mil l", "▁Mi ll", "▁ Mill", "ła d", "ł ad", "▁cont iene", "\" ?", "▁> >>", "▁>> >", "Qu e", "Q ue", "   ", "▁p lain", "▁pl ain", "▁pla in", "▁ plain", "at iva", "ativ a", "ati va", "oc ker", "ock er", "o cker", "Name s", "Na mes", "N ames", "▁J ud", "▁Ju d", "▁ag ree", "▁agre e", "▁agr ee", "▁G emeinde", "▁Geme inde", "la re", "lar e", "l are", "ка за", "каз а", "▁st arts", "▁start s", "▁star ts", "▁ starts", "▁p rice", "▁pr ice", "▁pri ce", "▁ price", "T arget", "cu s", "c us", "▁Inst ead", ". ;", "▁altern ative", "▁alter native", "▁в ла", "I E", "▁organ iz", "in u", "i nu", "▁comp leted", "▁comple ted", "▁complet ed", "▁complete d", "▁car ry", "at om", "ato m", "a tom", "▁dep ending", "▁depend ing", "▁O ur", "▁in sp", "▁ins p", "▁& \\", "▁ &\\", "ail y", "ai ly", "a ily", "ir ection", "ire ction", "irect ion", "ф а", "▁d efe", "▁de fe", "▁def e", "TA C", "T AC", "▁de signed", "▁des igned", "▁design ed", "▁v oir", "▁vo ir", "▁ voir", "bre ak", "▁part ie", "▁parti e", "▁J ahren", "▁Jah ren", "▁Jahr en", "▁Jahre n", "▁Ja hren", "▁st udio", "▁stud io", "▁studi o", "▁ studio", "▁j our", "▁jo ur", "▁jou r", "▁N otes", "▁No tes", "▁Not es", "▁Note s", "fi re", "fir e", "f ire", "ho use", "hou se", "h ouse", "su ccess", "▁J uan", "▁Ju an", "J S", "▁C ustom", "▁ Custom", "▁b esch", "▁be sch", "▁bes ch", "▁st ated", "▁stat ed", "▁state d", "▁sta ted", "boot strap", "öt t", "ö tt", "oz zá", "▁C ON", "▁CO N", "▁ CON", "ha v", "h av", "▁s leep", "▁sle ep", "▁ sleep", "ed a", "e da", "ho t", "h ot", "án d", "á nd", "▁S y", "▁tem ps", "▁temp s", "▁ temps", "am ar", "ama r", "a mar", "▁s cal", "▁sc al", "▁ scal", "▁a st", "▁as t", "▁ ast", "▁op ening", "▁open ing", "cli pse", "clip se", "c lipse", "▁program ming", "▁ programming", "▁let ters", "▁letter s", "▁lett ers", "▁pro file", "▁prof ile", "▁profil e", "▁ profile", "na h", "n ah", "▁be yond", "▁Fur ther", "face s", "fa ces", "fac es", "f aces", "▁c hart", "▁ch art", "▁char t", "▁cha rt", "▁ chart", "зд а", "з да", "ai gn", "a ign", "ні й", "н ій", "▁R ol", "▁Ro l", "ова но", "ован о", "ter ior", "te rior", "we d", "w ed", "▁her self", "▁hers elf", "▁n g", "▁ ng", "angu ages", "anguage s", "}= \\", "} =\\", "ynam ic", "yna mic", "▁j ug", "▁ju g", "▁Ex ample", "▁ Example", "▁( †", "▁play ing", "▁pla ying", "▁us age", "▁ usage", "▁man aged", "▁manage d", "▁ managed", "▁N atur", "▁Nat ur", "те ри", "тер и", "▁E t", "er ia", "eri a", "e ria", "▁daugh ter", "ни ем", "ние м", "F ragment", "▁h ol", "▁ho l", "▁ hol", "F l", "огра фи", "ограф и", "о графи", "▁i hn", "▁ih n", "ü h", "inst ance", "▁com un", "▁co mun", "▁tr uth", "▁са мо", "▁сам о", "▁implement ed", "▁any way", "▁C ro", "▁Cr o", "ф е", "G C", "ub untu", "u buntu", "ty pes", "type s", "typ es", "t ypes", "ê s", ".~ \\", ". ~\\", "fo ld", "fol d", "f old", "▁jo ined", "▁join ed", "? ?", "▁m é", "▁ mé", "▁w ild", "▁wil d", "к лю", "row ser", "rows er", "▁H ome", "▁Ho me", "▁Hom e", "▁ Home", "sk iej", "ski ej", "skie j", "s kiej", "▁J OIN", "▁ju in", "ho f", "h of", "▁data set", "▁dat aset", "▁datas et", "▁ dataset", "ж ду", "') )", "' ))", "▁mie js", "AP I", "A PI", "▁ed ited", "▁edit ed", "ool s", "oo ls", "o ols", "▁se eing", "▁see ing", "ij d", "i jd", "▁pro cedure", "▁proced ure", "▁B ras", "▁Br as", "▁Bra s", "▁s igned", "▁sign ed", "▁sig ned", "▁ signed", "▁extern os", "▁dis app", "▁D irect", "▁Di rect", "▁Dire ct", "▁Dir ect", "▁ Direct", "cy c", "c yc", "▁cons ult", "ör d", "ö rd", "W idget", "ci ous", "cio us", "c ious", "se ct", "sec t", "s ect", "▁Д и", "▁w ind", "▁win d", "▁ wind", "▁Archiv ado", "am l", "a ml", "с с", "W h", "kb d", "k bd", "▁Ar my", "▁Arm y", "▁s uffer", "▁suf fer", "▁suff er", "art ifact", "▁resol ve", "▁ resolve", "▁S port", "▁Sp ort", "▁Spo rt", "▁ц е", "▁ це", "id as", "ida s", "i das", "▁t ax", "▁ta x", "▁ tax", "id i", "i di", "▁a ctions", "▁act ions", "▁action s", "▁ actions", "пр а", "п ра", "pu és", "p ués", "▁n aj", "▁na j", "F alse", "▁ch ance", "▁та ко", "▁так о", "ä d", "▁d ol", "▁do l", "▁en v", "▁ env", "▁bas ically", "▁basic ally", "▁Coun cil", "zt e", "z te", "▁display ed", "ni l", "n il", "comp lete", "comple te", "▁L em", "▁Le m", "ian ce", "i ance", "▁ос нов", "▁de pend", "▁dep end", "pl om", "ens us", "ut s", "u ts", "▁H ot", "▁Ho t", "▁ Hot", "bit r", "bi tr", "▁valid ation", "▁ validation", "ab b", "a bb", "▁т ре", "▁ тре", "k m", "z d", "ö ff", "W E", "▁inter ested", "▁interest ed", "▁{ \"", "▁ {\"", "ar o", "a ro", "▁cor rel", "▁corre l", "▁corr el", "▁d edic", "▁de dic", "▁ded ic", "▁l ists", "▁list s", "▁ lists", "▁Bibli ografia", "▁ear lier", "pr ogram", "pro gram", "prog ram", "▁prem ière", "▁premi ère", "fr ont", "f ront", "T ab", "ст ву", "ств у", "dr op", "dro p", "d rop", "▁f ear", "▁fe ar", "▁En laces", "▁C 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"n ed", "cd ots", "cdot s", "c dots", "reg ister", "ny m", "n ym", ".) :", ". ):", "▁J ew", "▁Je w", "▁t rès", "▁tr ès", "ни че", "▁D or", "▁Do r", "▁p roc", "▁pro c", "▁pr oc", "▁ proc", "▁g an", "▁ga n", "▁ gan", "▁ є", "▁S av", "▁Sa v", "v í", "Setting s", "S ettings", "▁V ari", "▁Var i", "▁Va ri", "▁ Vari", "▁c ours", "▁co urs", "▁cour s", "▁cou rs", "R o", "▁con j", "▁re asons", "▁reason s", "▁re ader", "▁read er", "▁ reader", "лекс анд", "ic ate", "ica te", "}) ,", "} ),", "▁task s", "▁ tasks", "▁R ay", "▁Ra y", "▁r ic", "▁ri c", "▁ ric", "K e", "on ie", "oni e", "o nie", "r f", ") [", "▁sub sequ", "▁subs equ", "▁T urn", "▁Tur n", "▁Tu rn", "▁ Turn", "▁VI AF", "math sf", "H E", "▁dec lare", "▁decl are", "▁decla re", "▁declar e", "▁pro tocol", "▁proto col", "▁ protocol", "▁P C", "▁ PC", "ци он", "View ById", "▁an imation", "▁anim ation", "▁ animation", "▁conf used", "ви ч", "▁en abled", "▁enable d", "▁ enabled", "ow o", "o wo", "ás t", "á st", "ö t", "▁m and", "▁ma nd", "▁man d", "▁R ail", "▁Ra il", "field s", "▁K ap", "▁Ka p", "▁al gebra", "▁ algebra", "▁С у", "fér ence", "▁C urrent", "▁Cur rent", "▁ Current", "с но", "▁L im", "▁Li m", "Par ams", "Param s", "Pa rams", "▁Ant onio", "▁Anton io", "▁Anto nio", "▁t v", "▁ tv", "la te", "lat e", "l ate", "if er", "ife r", "i fer", "En try", "Ent ry", "▁S erv", "▁Se rv", "▁Ser v", "▁ Serv", "▁mus ical", "▁music al", "▁musica l", "▁t race", "▁tr ace", "▁tra ce", "▁trac e", "▁ trace", "▁s cient", "▁sc ient", "▁sci ent", "fi c", "f ic", "▁for got", "▁forg ot", "v ideo", "▁o lder", "▁old er", "▁ol der", "▁ older", "Tr ee", "T ree", "▁u ns", "▁un s", "▁ uns", "ни ки", "ник и", "▁E uropa", "▁Europ a", "▁Euro pa", "▁Z we", "▁Zw e", "▁б е", "▁ бе", "▁v ec", "▁ve c", "▁ vec", "ж у", "Mat ch", "M atch", "sp an", "s pan", "▁bl ank", "▁blan k", "▁ blank", "▁sp äter", "▁T y", "▁ Ty", "▁d ict", "▁di ct", "▁dic t", "▁ dict", "ñ a", "▁conf irm", "▁confir m", "▁ confirm", "▁v ý", "за н", "з ан", "Re l", "R el", "fil m", "fi lm", "▁R ot", "▁Ro t", "▁ Rot", "▁H y", "▁ Hy", "ка х", "▁dem and", "▁min ist", "▁mini st", "▁Mad rid", "▁us ual", "sp iel", "s piel", "er os", "ero s", "e ros", "▁t utorial", "▁tut orial", "▁ tutorial", "▁С сылки", "s ys", "ци аль", "▁sp read", "▁spr ead", "▁spre ad", "▁con vers", "▁conver s", "▁conv ers", "▁r oll", "▁ro ll", "▁rol l", "▁ roll", "artifact Id", "▁N umber", "▁Num ber", "▁ Number", "▁sym met", "▁M ult", "▁Mu lt", "▁Mul t", "▁ Mult", "ex pected", "exp ected", "expect ed", "▁a xis", "▁ax is", "▁ axis", "▁match ing", "▁f ood", "▁fo od", "▁foo d", "group Id", "Map p", "Ma pp", "M app", "▁с вя", "▁v end", "▁ve nd", "▁ven d", "F ound", "ot to", "ott o", "o tto", "Ca t", "C at", "cri t", "cr it", "c rit", "ist ent", "iste nt", "isten t", "▁d rei", "▁dr ei", "▁dre i", "▁en ded", "▁end ed", "▁ende d", "▁ ended", "▁T ele", "▁Te le", "▁Tel e", "com ponent", "▁invol ved", "▁involve d", "▁Est ados", "▁Estado s", "▁Estad os", "▁d anger", "▁dan ger", "▁ch ain", "▁cha in", "▁ chain", "▁P rom", "▁Pro m", "▁Pr om", "▁ Prom", "ho m", "h om", "▁pol ít", "co p", "c op", "▁n ap", "▁na p", "▁ nap", "ri f", "r if", "ple ments", "pl ements", "plement s", "▁v ent", "▁ve nt", "▁ven t", "▁ vent", "an na", "ann a", "an ted", "ant ed", "ante d", "date d", "da ted", "dat ed", "d ated", "an th", "ant h", "a nth", "▁thread s", "▁thre ads", "▁ threads", "зо ва", "зов а", "з ова", "▁ста нов", "▁стан ов", "▁ станов", "▁e erst", "▁eer st", "bu f", "b uf", "he id", "▁R u", "▁P rim", "▁Pr im", "▁Pri m", "▁ Prim", "▁m igr", "▁mi gr", "▁mig r", "▁ migr", "▁Un idos", "▁ar bitr", "▁r oman", "▁ro man", "▁rom an", "ount ry", "oun try", "ult ur", "▁K önig", "▁Kö nig", "▁an not", "▁ann ot", "▁anno t", "▁ annot", "ach ing", "ac hing", "achi ng", "▁H aupt", "▁Ha upt", "um in", "umi n", "u min", "▁h em", "▁he m", "▁ hem", "ck ets", "cket s", "cke ts", "ba u", "b au", "ect ion", "ec tion", "e ction", "ef t", "e ft", "▁package s", "▁pack ages", "▁ packages", "▁K ur", "▁Ku r", "th ur", "▁p ays", "▁pa ys", "▁pay 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"irt schaft", "ки м", "к им", "▁Fin ally", "▁Final ly", "ph en", "phe n", "p hen", "▁P ac", "▁Pa c", "▁Array List", "▁ ArrayList", "▁re cover", "▁rec over", "▁e ducation", "▁educ ation", "mod els", "model s", "mode ls", "pe d", "p ed", "▁h appy", "▁ha ppy", "▁happ y", "ч у", "▁guer ra", "me dia", "med ia", "medi a", "m edia", "O F", "▁ens ure", "▁ ensure", "Mar k", "M ark", "data base", "dat abase", "datab ase", "d atabase", "og gle", "▁pub lish", "▁publi sh", "▁ publish", "O W", "▁B au", "▁Ba u", "? .", "▁ча сти", "▁час ти", "▁част и", "▁re pository", "▁repos itory", "▁ repository", "▁M att", "▁Ma tt", "▁Mat t", "hi gh", "h igh", "ov en", "ove n", "o ven", "▁g er", "▁ge r", "▁ ger", "▁un known", "▁ unknown", "Am er", "A mer", "▁B rown", "▁Br own", "▁Bro wn", "▁Brow n", "AL L", "A LL", "▁result ing", "▁b or", "▁bo r", "▁ bor", "▁po et", "ни ми", "ним и", "Em ail", "E mail", "F ont", "▁h ist", "▁his t", "▁hi st", "▁to day", "▁tod ay", "▁toda y", "▁ today", "▁B erg", "▁Be rg", "▁Ber g", "▁but tons", "▁button s", "та л", "т ал", "▁s ni", "▁sn i", "▁че лов", "Cr e", "C re", "▁un ion", "▁ union", "▁z ich", "ish op", "i shop", "▁qu ando", "▁quand o", "▁quan do", "P o", "CT ION", "▁C ost", "▁Co st", "▁Cos t", "▁ Cost", "су дар", "er ved", "erv ed", "erve d", "Not e", "No te", "N ote", "Equ al", "Eq ual", "E qual", "ли я", "бу р", "б ур", "▁ab stract", "▁abstra ct", "▁ abstract", "st op", "sto p", "s top", "▁ad vice", "▁adv ice", "▁i con", "▁ic on", "▁ icon", "▁tr avel", "▁tra vel", "▁trav el", "B S", "ve ns", "ven s", "v ens", "▁b atch", "▁bat ch", "▁ batch", "li que", "liqu e", "l ique", "she et", "s heet", "▁i hre", "▁ih re", "▁ihr e", "em on", "emo n", "e mon", "ber to", "bert o", "▁as signed", "▁ass igned", "▁assign ed", "ь ю", "Ph one", "▁a ward", "▁aw ard", "▁function ality", "▁functional ity", "al la", "all a", "a lla", "▁D am", "▁Da m", "▁ci udad", "▁cl uster", "▁clust er", "▁ cluster", "De scription", "Des cription", "▁s heet", "▁she et", "▁ sheet", "▁Austral ian", "▁Australia n", "▁» .", "▁ ».", "▁\" <", "▁wonder ing", "ain e", "ai ne", "a ine", "▁represent ed", "▁repres ented", "ka ppa", "kap pa", "k appa", "n b", "▁s y", "▁K ö", "=\" #", "▁s even", "▁se ven", "Direct ory", "D irectory", "▁s ister", "▁si ster", "▁sist er", "pl ates", "plate s", "pla tes", "▁l uck", "▁lu ck", "▁luc k", "▁rem aining", "▁remain ing", "▁V ill", "▁Vi ll", "▁Vil l", "wer k", "w erk", "an ni", "ann i", "et ti", "ett i", "fun c", "fu nc", "f unc", "▁b an", "▁ba n", "▁ ban", "im s", "i ms", "mi ss", "mis s", "m iss", "ag raph", "agr aph", "a graph", "ек си", "е кси", "▁R ef", "▁Re f", "▁ Ref", "ni tt", "nit t", "n itt", "▁G ab", "▁Ga b", "▁and ere", "▁jed och", "result s", "! \\", "▁l isted", "▁li sted", "▁list ed", "▁liste d", "▁l oro", "▁lo ro", "▁kn ows", "▁know s", "ж но", "R ad", "▁s ocket", "▁so cket", "▁soc ket", "▁ socket", "mult i", "mul ti", "▁р і", "▁ рі", "ra ils", "rai ls", "r ails", "▁t ar", "▁ta r", "▁ tar", "▁gent le", "se tt", "set t", "s ett", "serv ices", "service s", "bo und", "b ound", "ig keit", "aj a", "a ja", "▁c md", "▁cm d", "▁ cmd", "ag ger", "agg er", "▁b a", "▁ ba", "▁Be lg", "▁Bel g", "▁K le", "▁Kl e", "▁word t", "▁wor dt", "▁f ost", "▁fo st", "▁fos t", "▁dim ension", "An g", "A ng", "um ing", "umin g", "umi ng", "u ming", "Ob j", "не н", "н ен", "▁M arie", "▁Mar ie", "▁Ma rie", "▁Mari e", "▁ Marie", "ex ists", "exist s", "т ро", "▁бо ль", "▁ боль", "em ente", "ement e", "emen te", "e mente", "▁J on", "▁Jo n", "SE RT", "SER T", "S ERT", "▁high est", "ak i", "a ki", "▁t res", "▁tr es", "▁tre s", "▁ tres", "▁circ um", "▁D own", "▁Do wn", "▁Dow n", "▁ Down", "om men", "omm en", "ur er", "ure r", "u rer", "▁caus es", "▁cause s", "▁ca uses", "ven ue", "iss ance", "▁influ ence", "▁influen ce", "▁f at", "▁fa t", "ре ди", "ред и", "р еди", "}\\ \\", "} \\\\", "▁en tr", "▁ent r", "▁ entr", "▁S ign", "▁Si gn", "▁Sig n", "▁ Sign", "▁к ла", "▁ кла", "▁b inding", "▁bind ing", "▁bin ding", "▁ binding", "es sen", "ess en", "esse n", "▁Ф ран", "▁L ocal", "▁Lo cal", "▁Loc al", "▁ Local", "▁я вля", "ap pro", "app ro", "▁dep endencies", "▁depend encies", "▁ dependencies", "▁talk ing", "▁tal king", "▁zur ück", "con nection", "connect ion", "conne ction", "conn ection", "Act ive", "Activ e", "bb e", "b be", "ir ls", "irl s", "▁In f", "▁ Inf", "w d", "▁и с", "▁ ис", "ro ad", "▁con ven", "▁conv en", "ě t", "ве з", "в ез", "▁ent ries", "▁entr ies", "▁ entries", "es c", "e sc", "▁b its", "▁bit s", "▁bi ts", "▁ bits", "as so", "ass o", "W R", "sh ips", "ship s", "s hips", "▁d és", "▁dé s", "es p", "e sp", "Ma ke", "M ake", "▁famil iar", "▁familia r", "Ar t", "A rt", "▁ar my", "▁arm y", "ct r", "c tr", "ér ic", "éri c", "é ric", "que ue", "▁\\ {", "▁ \\{", "ue la", "uel a", "u ela", "am iento", "ami ento", "ши х", "ш их", "▁\" \"\"", "▁\"\" \"", "con tr", "cont r", "лл е", "л ле", "F S", "▁mar ket", "▁mark et", "▁ market", "ån g", "å ng", "cite p", "cit ep", "Il l", "I ll", "ran k", "r ank", "▁s ender", "▁se nder", "▁send er", "▁sen der", "▁ sender", "▁be im", "▁bei m", "ра к", "▁com pat", "▁comp at", "▁ compat", "▁occ urs", "▁occur s", "▁d iese", "▁di ese", "▁die se", "▁dies e", "сти ту", "aw a", "a wa", "▁i OS", "▁Ch inese", "▁Chine se", "▁T R", "▁ TR", "▁K en", "▁Ke n", "▁U ne", "▁Un e", "▁cre ates", "▁create s", "▁sh owed", "▁show ed", "▁sho wed", "▁é v", "▁ év", "olog ia", "olo gia", "▁pro test", "▁prote st", "▁prot est", "▁P f", "▁s quad", "▁squ ad", "++ ,", "á v", "▁ess ere", "з я", "ko l", "k ol", "▁slight ly", "ad dr", "add r", "â n", "▁red uce", "▁redu ce", "▁ reduce", "▁\\ (\\", "▁\\( \\", "▁D ep", "▁De p", "▁ Dep", "▁gener ic", "▁gene ric", "▁ generic", "Lo ader", "Load er", "ț i", "▁п ос", "▁по с", "▁occ asion", "▁occas ion", "▁L ady", "▁La dy", "▁Lad y", "ent ity", "enti ty", "▁av ant", "▁ avant", "▁P as", "▁Pa s", "ag gio", "aggi o", "agg io", "\\ {", "па д", "athol ic", "Pass word", "▁res pond", "▁resp ond", "▁ respond", "▁N on", "▁No n", "▁ Non", "A G", "ne g", "n eg", "▁у с", "▁ 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s", "▁ fois", "▁n ell", "▁ne ll", "▁nel l", "▁ nell", "es i", "e si", "ё т", "lo or", "l oor", "▁U l", "▁resol ution", "▁f ot", "▁fo t", "▁through out", "▁r i", "▁ ri", "Le vel", "po ol", "p ool", "▁id entity", "▁ident ity", "▁ identity", "▁j anu", "▁jan u", "▁ja nu", "▁im per", "▁imp er", "▁ imper", "▁ö ver", "} `", "▁in fer", "▁inf er", "▁d ates", "▁da tes", "▁dat es", "▁date s", "▁ dates", "▁Stand ard", "▁ Standard", "for ce", "oc key", "ock ey", "ter a", "te ra", "t era", "▁dist ingu", "▁pres ence", "li ca", "lic a", "l ica", "▁le aving", "it ung", "itu ng", "é b", "▁estab lish", "▁m aar", "▁ma ar", "ad i", "a di", "▁New s", "▁Ne ws", "▁ News", "az on", "a zon", "fo lg", "fol g", "f olg", "▁H ence", "▁Hen ce", "▁Y e", "▁f ab", "▁fa b", "▁ fab", "▁f ühr", "▁ führ", "it map", "▁V ers", "▁Ver s", "▁Ve rs", "ro v", "r ov", "Si gn", "S ign", "de vice", "dev ice", "S igma", "▁wet enschapp", "▁P s", "PA TH", "P ATH", "▁t orn", "▁to rn", "▁tor n", "ve st", "ves t", "v est", "ст ов", "сто в", "с тов", "ac count", "acc ount", "acco unt", "▁lar gest", "▁large st", "▁larg est", "▁per cent", "▁perce nt", "▁ percent", "▁W omen", "▁Wo men", "▁im g", "▁ img", "to ol", "t ool", "▁r oce", "▁ro ce", "▁a y", "▁ ay", "in et", "ine t", "i net", "▁ao ût", "▁pol ynomial", "▁integr al", "▁integra l", "▁a reas", "▁are as", "▁area s", "} '", "▁h yp", "▁hy p", "loy ee", "та ль", "тал ь", "т аль", "▁pro xy", "▁ proxy", "▁W y", "▁М екси", "▁Ме кси", "▁es cape", "▁esc ape", "▁ escape", "ol ar", "ola r", "o lar", "▁mis take", "▁mist ake", ")} {", ") }{", "▁P ot", "▁Po t", "▁process es", "▁proc esses", "\"> \r", "\" >\r", "hal ten", "halt en", "zz a", "z za", "am o", "a mo", "к ре", "▁W ood", "▁Wo od", "ø r", "▁с ер", "▁се р", "▁ сер", "oc ia", "oci a", "o cia", "tw o", "t wo", "pro file", "prof ile", "▁A st", "▁As t", "em bro", "emb ro", "▁ar ms", "▁arm s", "in as", "ina s", "i nas", "in nen", "inn en", "▁m sg", "▁ms g", "▁ msg", "IN T", "I NT", "▁b atter", "▁batt er", "▁bat ter", "ign ment", "▁v y", "▁ vy", "H rsg", "▁G rund", "▁Gr und", "▁Gru nd", "ro c", "r oc", "se g", "s eg", "▁de cor", "▁dec or", "▁ decor", "▁event ually", "> ,", "▁p ag", "▁pa g", "▁ pag", "an ten", "ant en", "ante n", "a nten", "▁str ugg", "▁stru gg", "}^ \\", "} ^\\", "date n", "da ten", "dat en", "d aten", "▁re la", "▁r ela", "▁rel a", "по в", "п ов", "▁ко ро", "▁кор о", "▁B os", "▁Bo s", "▁l abor", "▁la bor", "▁lab or", "▁Se cret", "▁Sec ret", "▁ Secret", "ug en", "uge n", "u gen", "▁j ap", "▁ja p", "▁hus band", "▁Al bum", "▁Alb um", "▁et wa", "▁про из", "ri cht", "ric ht", "rich t", "r icht", "ra ch", "rac h", "r ach", "ba t", "b at", "▁pre par", "▁prep ar", "▁St ock", "▁Sto ck", "▁l ack", "▁la ck", "▁lac k", "▁ lack", "хі д", "х ід", "▁h ogy", "▁ho gy", "▁Ch rome", "▁Chr ome", "▁Ad min", "▁ Admin", "▁com parison", "▁compar ison", "▁incre asing", "н г", "im i", "i mi", "D b", "▁g ef", "▁ge f", "▁ gef", "uch t", "uc ht", "u cht", "és e", "é se", "gen ce", "g ence", "▁C ore", "▁Cor e", "▁Co re", "▁ Core", "▁in correct", "▁incor rect", "▁ass uming", "▁assum ing", "our se", "ours e", "ie ron", "ier on", "iero n", "▁The orem", "▁ Theorem", "▁c asa", "▁cas a", "▁ca sa", "je s", "j es", "▁д ере", "▁де ре", "▁` \"", "L D", "ä ß", "De b", "D eb", "▁su iv", "▁B ank", "▁Ban k", "li bs", "lib s", "▁Le on", "▁Leo n", "▁qu art", "▁quar t", "▁prof essional", "▁profession al", "▁profess ional", "▁t iene", "▁ti ene", "▁tie ne", "▁acc omp", "▁ac comp", "▁accom p", "ст ер", "сте р", "с тер", "▁U K", "▁ UK", "N N", "▁l í", "ц я", "ke l", "k el", "▁ •", "▁d ise", "▁di se", "▁dis e", "on to", "ont o", "▁m á", "if s", "i fs", "bi ld", "bil d", "b ild", "▁comp ute", "▁comput e", "▁ compute", "▁é d", "▁ éd", "j ę", "▁M é", "▁l anguages", "▁language s", "▁T imes", "▁Time s", "▁Tim es", "▁Ti mes", "▁ Times", "ce n", "c en", "▁ав то", "ý m", "en ez", "ene z", "e nez", "▁u pp", "▁up p", "▁ upp", "▁m éd", "▁mé d", "▁cu ando", "о д", "Int ent", "ee rd", "e erd", "▁T al", "▁Ta l", "off set", "offs et", "▁h aben", "▁ha ben", "▁hab en", "▁habe n", "re me", "rem e", "r eme", "▁St ack", "▁Sta ck", "▁ Stack", "▁d ri", "▁dr i", "▁ dri", "▁sein em", "▁seine m", "▁sei nem", "▁f évrier", "▁comb ination", "▁combin ation", "▁s oll", "▁so ll", "▁sol l", "▁mov ement", "▁mo vement", "▁move ment", "Sp ec", "Spe c", "S pec", "к ры", "ret ch", "r etch", "Off set", "Ro ot", "R oot", "А р", "wa rt", "war t", "w art", "▁F ollow", "▁Fol low", "▁So cial", "▁Soci al", "▁Soc ial", "ни ков", "ник ов", "▁ →", "Do n", "D on", "▁h arm", "▁ha rm", "▁har m", "▁ harm", "ag r", "a gr", "ne go", "neg o", "n ego", "re source", "res ource", "▁L uc", "▁Lu c", "▁se inen", "▁sein en", "▁seine n", "▁sei nen", "▁De partment", "▁Depart ment", "▁Up date", "▁ Update", "▁Tex as", "▁re ve", "▁rev e", "▁P os", "▁Po s", "▁ Pos", "▁s hot", "▁sh ot", "▁sho t", "▁ shot", "ot he", "oth e", "o the", "▁repe ated", "▁repeat ed", "▁rec ently", "▁recent ly", "áb an", "á ban", "ak s", "a ks", "па н", "п ан", "▁c ha", "▁ch a", "▁ cha", "oh l", "o hl", "▁t end", "▁te nd", "▁ten d", "▁д во", "ch ts", "cht s", "ça ise", "çais e", "pl ing", "p ling", "al bum", "e j", "▁` [", "ma ps", "map s", "m aps", "▁un its", "▁unit s", "▁< !--", "▁", "St and", "▁techn ique", "▁techni que", "▁E ss", "▁Es s", "▁Ox ford", "▁ ла", "t ikz", "ли й", "Log in", "Lo gin", "▁min ister", "▁minist er", "▁mini ster", "▁ minister", "▁c url", "▁cu rl", "▁cur l", "▁ curl", "ka n", "k an", "▁m aps", "▁ma ps", "▁map s", "▁ maps", "in da", "ind a", "ri eb", "rie b", "r ieb", "▁E ND", "▁EN D", "▁ END", "if ies", "ifi es", "ifie s", "con sole", "cons ole", "bu ry", "bur y", "b ury", "▁L E", "▁ LE", "▁indep end", "▁inde pend", "▁t a", "▁ ta", "▁ Ś", "on el", "one l", "o nel", "és z", "é sz", "▁I st", "▁Is t", "ut ive", "uti ve", "ё л", "▁Reg ion", "▁ Region", "▁( =", "▁comp act", "ço is", "ç ois", "▁label s", "▁lab els", "▁ labels", "autor ité", "▁s tan", "▁st an", "▁sta n", "▁ stan", "▁fran çaise", "▁français e", "▁rem oving", "▁remov ing", "y c", "} |", "▁Ex 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d", "▁delet ed", "▁A uto", "▁Aut o", "▁Au to", "▁ Auto", "▁m eter", "▁me ter", "▁met er", "▁ meter", "C G", "ъ л", "▁p ent", "▁pe nt", "▁pen t", "▁ pent", "▁be zeichnet", "Su m", "S um", "db c", "d bc", "▁Pl atz", "▁Pla tz", "▁Plat z", "ect ors", "ector s", "e ctors", "▁L ittle", "QU E", "Q UE", "ці я", "ц ія", "те ля", "тел я", "nig ht", "n ight", "▁l l", "▁ ll", "▁most ly", "UI D", "U ID", "▁b ez", "▁be z", "▁ bez", "do b", "d ob", "кс и", "к си", "ter ne", "tern e", "t erne", "▁cor ner", "▁corn er", "at y", "a ty", "▁impro ve", "▁improv e", "▁impr ove", "▁in tr", "▁int r", "▁` @", "ar od", "aro d", "a rod", "▁install ation", "▁instal lation", "▁Refer ências", "ig an", "iga n", "i gan", "▁crit ic", "ad el", "ade l", "a del", "▁се ло", ", \r", "at ori", "ator i", "ato ri", "▁F ri", "▁Fr i", "▁ Fri", "▁ré férences", "▁Int ent", "▁ Intent", "▁t ant", "▁tan t", "▁ta nt", "un ci", "unc i", "▁level s", "▁lev els", "er es", "ere s", "e res", "▁e mer", "▁em er", "▁ emer", "sa fe", "t k", "▁c ham", "▁ch am", "▁cha m", "▁great ly", "▁we it", "▁ weit", "▁co ach", "▁to ward", "Hom e", "H ome", "▁Bo olean", "▁ Boolean", "те л", "т ел", "▁m ock", "▁mo ck", "▁ mock", "▁appreci ate", "▁C ross", "▁Cr oss", "▁Cro ss", "▁T ake", "▁Ta ke", "▁Tak e", "▁ Take", "D P", "▁s ides", "▁si des", "▁side s", "▁sid es", "▁Norm daten", "де й", "д ей", "st al", "sta l", "s tal", "▁c out", "▁co ut", "▁cou t", "▁ cout", "b n", "▁V ert", "▁Ver t", "▁Ve rt", "▁ Vert", "▁b ird", "▁bi rd", "▁bir d", "▁ bird", "▁dynam ically", "▁dynamic ally", "▁D ol", "▁Do l", "▁B urg", "▁Bu rg", "▁Bur g", "▁d og", "▁do g", "▁ dog", "ät t", "ä tt", "▁n uc", "▁nu c", "E C", "By tes", "Byte s", "▁a k", "▁ ak", "re land", "rel and", "r eland", "▁gu itar", "▁reg arding", "▁regard ing", "▁F uß", "▁Fu ß", "▁до л", "▁ дол", "au ss", "aus s", "a uss", "▁j ej", "▁je j", "ac o", "a co", "▁up dates", "▁update s", "▁upd ates", "ру к", "р ук", "(' /", "▁c old", "▁col d", "▁co ld", "▁G iven", "▁Gi ven", "▁Give n", "hi n", "h in", "▁fe eling", "▁feel ing", "▁fee ling", "ig li", "fa h", "f ah", "ст ре", "стр е", "с тре", "bo ol", "b ool", "init ial", "▁станов ника", "▁An na", "▁Ann a", "▁h ors", "▁hor s", "▁ho rs", "▁d oll", "▁do ll", "▁dol l", "▁con sum", "▁cons um", "▁ consum", "ub er", "ube r", "u ber", "stand ing", "stan ding", "act iv", "з і", "check ed", "▁perm issions", "▁permission s", "▁M onte", "▁Mon te", "▁Mont e", "Write Line", "pl us", "p lus", "▁E qu", "▁Eq u", "▁ Equ", "▁и х", "▁ их", "ч ки", "un que", "▁L O", "▁ LO", "e a", "sam ple", "s ample", "ie sz", "ies z", "i esz", "or al", "ora l", "o ral", "▁И н", "os ton", "ost on", "osto n", "o ston", "▁S imon", "▁Sim on", "▁Si mon", "fa st", "fas t", "f ast", "m k", "as sen", "ass en", "asse n", "▁arch itecture", "▁architect ure", "▁ architecture", "ens es", "ense s", "▁ Å", "▁to pic", "▁top ic", "▁ topic", "▁dis able", "▁ disable", "▁C ru", "▁Cr u", "▁Cont rol", "▁ Control", "▁cre ation", "▁hy per", "▁hyp er", "▁ hyper", "it ud", "itu d", "же ния", 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rm", "▁Ter m", "▁ Term", "▁time out", "▁ timeout", "Pr int", "▁in vent", "▁inv ent", "▁inve nt", "la is", "l ais", "▁mon itor", "ha lb", "hal b", "▁W ild", "▁Wil d", "▁Wi ld", "▁le ader", "▁lead er", "▁с ель", "▁се ль", "▁util iz", "▁par ents", "▁parent s", "▁for ced", "▁force d", "▁pro ved", "▁pr oved", "▁prov ed", "▁prove d", "▁effect ive", "▁l lam", "▁ll am", "▁С по", "or b", "o rb", "gg i", "g gi", "▁ass umption", "▁assum ption", "▁su bm", "▁sub m", "▁в ій", "▁ві й", "il ia", "ili a", "i lia", "▁re verse", "▁revers e", "▁rever se", "▁ reverse", "' \"", "▁qu otes", "▁quot es", "▁quote s", "▁s ites", "▁si tes", "▁site s", "▁sit es", "▁ sites", "ig ung", "igu ng", "▁A rg", "▁Ar g", "▁ Arg", "D ouble", "▁s creens", "▁sc reens", "▁screen s", "▁cl ause", "▁cla use", "▁b undle", "▁bund le", "▁ bundle", "▁phil osoph", "▁N um", "▁Nu m", "▁ Num", "▁g leich", "▁gle ich", "▁ gleich", "ul y", "u ly", "dir ect", "di rect", "dire ct", "d irect", "asket ball", "ow any", "owa ny", "owan y", "\\} $", "\\ }$", "▁rad ius", "▁radi us", "▁ radius", "▁S earch", "▁Se arch", "▁ Search", "Pro perties", "▁e lev", "▁el ev", "▁ele v", "▁p rod", "▁pro d", "▁pr od", "▁ prod", "▁\" %", "is ión", "isi ón", "De bug", "Deb ug", "Se cond", "Sec ond", "( !", "▁C atholic", "ро ван", "ров ан", "рова н", "р ован", "le z", "l ez", "P a", "ps on", "p son", "▁er ste", "▁erst e", "▁ers te", "▁F u", "▁l it", "▁li t", "▁ lit", "▁S aison", "▁Sa ison", "▁H ash", "▁Ha sh", "▁Has h", "▁ Hash", "▁ex em", "▁пред став", ") *", "▁e u", "▁ eu", "▁ │", "▁g ab", "▁ga b", "eta iled", "Co py", "C opy", "▁д ва", "ev en", "e ven", "K ind", "▁Jack son", "а л", "▁con sec", "▁cons ec", "▁conse c", "US ER", "USE R", "U SER", "▁T ok", "▁To k", "( .", "▁$ |", "▁T amb", "▁Ta mb", "▁Tam b", "▁Lem ma", "ha ng", "han g", "h ang", "▁cont ribution", "▁contrib ution", "▁contribu tion", "roll ers", "rol lers", "roller s", "rolle rs", "▁stud ies", "▁studi es", "▁p oi", "▁po i", "ge ms", "gem s", "g ems", "▁U P", "▁ UP", "▁W ol", "▁Wo l", "> \"", "▁f loor", "▁fl oor", "▁flo or", "▁ floor", "▁init ialize", "▁initial ize", "▁ initialize", "▁L ew", "▁Le w", "ze k", "z ek", "ar te", "art e", "▁pos itions", "▁position s", "▁posit ions", "▁por tion", "▁port ion", "co ver", "cov er", "c over", "w p", "ов ого", "ово го", "о вого", "▁p iano", "▁pi ano", "▁pian o", "▁pia no", "▁m etal", "▁me tal", "▁met al", "▁meta l", "▁s amples", "▁sam ples", "▁sample s", "▁ samples", "▁С ан", "▁Са н", "vari able", "▁ста ть", "▁inte gers", "▁integer s", "Wh ere", "W here", "famil y", "▁n un", "▁nu n", "▁in crement", "▁incre ment", "▁ increment", "ix ed", "▁he eft", "ft e", "f te", "▁v il", "▁vi l", "▁ vil", "▁ot ros", "▁otro s", "Mult imedia", "Multi media", "▁Hen ri", "ad ed", "ade d", "a ded", "ге н", "г ен", "▁cap it", "▁ca pit", "▁други х", "is p", "i sp", "IT Y", "I TY", "▁constraint s", "▁K irche", "▁Kir che", "▁Kirch e", "fo und", "f ound", "ши й", "▁p ic", "▁pi c", "▁ pic", "▁t ou", "▁to u", "cre d", "cr ed", "c red", "ро б", "р об", "▁M ess", "▁Me ss", "▁Mes s", "▁ Mess", "Jo b", "J ob", "▁M ais", "▁Ma is", "▁Mai s", "▁st yles", "▁style s", "▁sty les", "▁ styles", "fa ll", "fal l", "f all", "▁U k", "▁st reet", "▁stre et", "▁ street", "oc cer", "occ er", "es en", "ese n", "e sen", "▁col ors", "▁color s", "▁ colors", "ce an", "ю ще", "con ne", "conn e", "c onne", "▁r atio", "▁rat io", "an ton", "ant on", "anto n", "▁F el", "▁Fe l", "▁custom er", "▁cust omer", "▁ customer", "▁P rix", "▁Pr ix", "▁Pri x", "rá s", "r ás", "pr ed", "pre d", "p red", "▁elect ron", "▁electro n", "s ym", "▁ве ли", "▁ вели", "▁over flow", "▁ overflow", "▁$ [", "▁P OST", "▁PO ST", "▁ POST", "▁C in", "▁Ci n", "sc heid", "sche id", "(\" /", "( \"/", "▁search ing", "▁pur poses", "▁purpose s", "▁arr ived", "▁arriv ed", "▁arrive d", "▁p unt", "▁pu nt", "▁pun t", "▁l ad", "▁la d", "▁ lad", "P ython", "▁le ads", "▁lead s", "▁s and", "▁sa nd", "▁san d", "па да", "пад а", "▁comm unes", "▁commun es", "▁commune s", "▁CH AP", "▁c aso", "▁cas o", "▁ca so", "r z", "▁d w", "▁ dw", "ac a", "a ca", "▁Col umb", "child ren", "ê t", "sch emas", "sche mas", "schema s", "▁instru ctions", "▁instruction s", "▁instruct ions", "▁- \\", "▁ -\\", "▁Is rael", "▁Isra el", "no ści", "▁об раз", "▁обра з", "▁ образ", "▁со вет", "▁сов ет", "▁imm agini", "▁F red", "▁Fre d", "▁Fr ed", "▁G lobal", "▁Glo bal", "▁ Global", "▁th ick", "▁ thick", "▁fue ron", "▁fuer on", "▁th rown", "▁thr own", "▁throw n", "▁thro wn", "▁c lock", "▁cl ock", "▁clo ck", "▁ clock", "en able", "ena ble", "'' '", "' ''", "▁S und", "▁Su nd", "▁Sun d", "▁cont empor", "an swer", "ans wer", "▁man ufact", "▁i o", "▁ io", "q quad", "OU T", "O UT", "▁L ab", "▁La b", "▁ Lab", "▁Z w", "le gal", "leg al", "▁V el", "▁Ve l", "▁ra ise", "▁ raise", "▁de liver", "▁del iver", "▁deli ver", "▁V oir", "▁Vo ir", "▁ass umed", "▁assum ed", "▁assume d", "Le t", "L et", "ier ten", "iert en", "ierte n", "i erten", "▁K ong", "▁Kon g", "▁Ko ng", "▁E xp", "▁Ex p", "▁ Exp", "▁J ug", "▁Ju g", "▁dec laration", "▁declar ation", "▁F ish", "m é", "▁spe ech", "▁t ent", "▁te nt", "▁ten t", "▁R oute", "▁Ro ute", "▁Rou te", "▁Rout e", "▁ Route", "__ (", "_ _(", "▁ré alis", "▁réal is", "▁De sign", "▁Des ign", "set Text", "▁St ation", "▁Stat ion", "▁Sta tion", "▁Stati on", "▁ Station", "ar chy", "arch y", "arc hy", "▁ка то", "▁d ent", "▁de nt", "▁den t", "▁ dent", "▁K l", "i ß", "▁r isk", "▁ris k", "▁ri sk", "▁B road", "▁Bro ad", "▁v ectors", "▁ve ctors", "▁vector s", "▁S pec", "▁Sp ec", "▁Spe c", "▁ Spec", "▁ro utes", "▁route s", "▁rout es", "▁rou tes", "▁ routes", "ym n", "y mn", "▁G reg", "▁Gr eg", "▁Gre g", "▁полу чи", "gi e", "g ie", "OR M", "ве де", "вед е", "в еде", "wa lt", "wal t", "w alt", "▁e fter", "P tr", "▁su bt", "▁sub t", "▁b irth", "▁bir th", "▁dr awn", "▁draw n", "▁dra wn", "me ss", "mes s", "m ess", "мери кан", "V E", "▁P ut", "▁Pu t", "▁ Put", "▁a sc", "▁as c", "▁ asc", "▁f eder", "▁fe der", "▁fed er", "с ли", "▁P rin", "▁Pr in", "▁Pri n", "▁s tick", "▁st ick", "re set", "res et", "y k", "st udio", "stud io", "▁St ill", "Con st", "Cons t", "ac ió", "aci ó", "a ció", "▁Portug al", "▁script s", "▁scri pts", "▁ scripts", "und ial", "▁l ives", "▁li ves", "▁live s", "▁liv es", "▁s zer", "▁sz er", "▁sze r", "▁est ado", "▁esta do", "▁estad o", "fo lder", "fol der", "fold er", "f older", "▁communic ation", "Ro ute", "Rout e", "R oute", "▁sw ift", "▁ swift", "те н", "т ен", "▁k ill", "▁kil l", "▁ki ll", "▁ kill", "▁P R", "▁ PR", "jo int", "join t", "j oint", "▁ob jective", "▁object ive", "▁comp licated", "▁Ü ber", "es h", "e sh", "p icture", "ra ine", "rain e", "rai ne", "r aine", "com put", "comp ut", "▁pro port", "▁pr oport", "▁prop ort", "▁propor t", "og s", "o gs", "ül t", "ü lt", "▁quant um", "к ри", "▁s op", "▁so p", "▁lo ops", "▁loop s", "▁Re ference", "▁Refer ence", "▁ Reference", "▁n ei", "▁ne i", "IC E", "I CE", "▁v erm", "▁ver m", "▁ve rm", "▁a dj", "▁ad j", "▁ adj", "▁per ò", "▁t rou", "▁tr ou", "▁tro u", "is ions", "ision s", "isi ons", "▁App le", "▁Ap ple", "serv able", "▁B oston", "▁Bo ston", "▁Bos ton", "or et", "ore t", "o ret", "ok s", "o ks", "▁k g", "▁ kg", "def ined", "define d", "defin ed", "d efined", "pl atform", "cl er", "cle r", "c ler", "ograph ic", "ri tt", "rit t", "r itt", "▁d ic", "▁di c", "▁ dic", "▁M ond", "▁Mon d", "▁Mo nd", "▁I reland", "▁Ir eland", "▁U na", "▁Un a", "▁commer cial", "▁P u", "D i", "▁е ё", "▁pre cis", "▁prec is", "на род", "нар од", "▁qu atre", "ust ral", "ustr al", "▁d ag", "▁da g", "▁ dag", "ig ue", "igu e", "i gue", "▁b urn", "▁bu rn", "▁bur n", "▁ burn", "▁offic er", "▁office r", "▁А в", "▁high light", "▁ highlight", "▁Supp ose", "▁Sup pose", "od i", "o di", "serv let", "▁En cyc", "▁Enc yc", "▁R ange", "▁Ran ge", "▁Rang e", "▁ Range", "ти й", "P lease", "▁ро ків", "qu ant", "qua nt", "▁f lat", "▁fl at", "▁fla t", "▁ flat", "▁Ré férence", "сле дова", "след ова", "ro le", "rol e", "r ole", "▁d iesen", "▁di esen", "▁die sen", "▁dies en", "▁diese n", "}} (", "} }(", "▁Ind ust", "▁nú mer", "▁\" ;", "▁ \";", "lu s", "l us", "ô le", "▁z m", "▁ zm", "de g", "d eg", "▁r ough", "▁ro ugh", "▁rou gh", "▁ rough", "In v", "▁h ur", "▁hu r", "▁R ess", "▁Re ss", "▁Res s", "ch s", "c hs", "▁turn s", "▁tur ns", "ne ro", "ner o", "n ero", "function s", "fun ctions", "ал и", "а ли", "▁hab itants", "▁habit ants", "а т", "iss ues", "issue s", "▁h uge", "▁hu ge", "Util s", "▁S at", "▁Sa t", "▁го судар", "▁co ast", "sh ape", "sha pe", "s hape", "L C", "▁log ging", "▁ logging", "en dor", "end or", "endo r", "▁l ies", "▁li es", "▁lie s", "▁ lies", "▁d ifer", "▁di fer", "▁dif er", "▁crit ical", "▁critic al", "X T", "ми на", "мин а", "an sk", "ans k", "Result s", "k c", "ivers e", "iver se", "i verse", "EX T", "E XT", "AL SE", "▁v ál", "▁vá l", "P i", "comp ile", "hel lo", "hell o", "h ello", "▁чем пи", "▁It alia", "▁Ital ia", "▁ Italia", "ко ло", "кол о", "к оло", "▁ed ition", "▁edit ion", "gr und", "gru nd", "g rund", "▁data frame", "▁Follow ing", "re ib", "rei b", "▁J eff", "▁Je ff", "▁citt à", "IT able", "I Table", "▁$ (\\", "▁$( \\", "▁redu ced", "▁reduce d", "ob il", "obi l", "o bil", "▁any where", "' (", "▁p hr", "▁ph r", "▁ phr", "▁K h", "▁F rame", "▁Fr ame", "▁Fra me", "▁ Frame", "▁man ual", "▁ manual", "▁c ra", "▁cr a", "▁ cra", "▁V S", "▁ VS", "% =", "Instance State", "▁б ра", "▁ бра", "▁D rag", "▁Dr ag", "▁Dra g", "▁ Drag", "▁H err", "▁He rr", "▁Her r", "▁г у", "▁ гу", "▁m ús", "To ol", "T ool", "▁P rivate", "▁Priv ate", "▁ Private", "▁s ynchron", "▁syn chron", "ir ation", "ira tion", "irat ion", "▁о бо", "▁об о", "▁typ ically", "▁typical ly", "▁imp licit", "or ient", "ori ent", "orie nt", "▁t imer", "▁time r", "▁tim er", "▁ti mer", "▁ timer", "▁kön nen", "ie st", "ies t", "i est", "ra id", "rai d", "▁expression s", "▁express ions", "▁expr essions", "▁a im", "▁ai m", "▁s tre", "▁st re", "▁str e", "▁ stre", "▁w rap", "▁wr ap", "▁wra p", "▁ wrap", "▁B art", "▁Bar t", "▁Ba rt", "▁b ron", "▁br on", "▁bro n", "▁key board", "po w", "p ow", "▁gru po", "▁grup o", "▁ре зу", "▁prof essor", "▁profess or", "▁H ead", "▁He ad", "▁ Head", "но ю", "min us", "m inus", "▁Mich el", "▁Mic hel", "NO T", "N OT", "mo r", "m or", "] }", "wide hat", "ar is", "ari s", "a ris", "тера тура", "de fn", "def n", "is trz", "ist rz", "istr z", "▁t anto", "▁tan to", "▁tant o", "▁P ow", "▁Po w", "▁ind icate", "▁indic ate", "▁W inter", "▁Win ter", "res hold", "resh old", "рі в", "р ів", "▁` (", "▁o wner", "▁own er", "▁ow ner", "▁ owner", "▁d isp", "▁di sp", "▁dis p", "▁к ри", "▁ кри", "ме т", "м ет", "мен т", "м ент", "re port", "rep ort", "repo rt", "re quire", "▁v oy", "▁vo y", "▁ voy", "▁A P", "▁ AP", "▁Esp aña", "▁Españ a", "▁S ão", "j är", "No n", "N on", "Li brary", "L ibrary", "ich ten", "icht en", "ichte n", "i chten", "▁struct ures", "▁structure s", "▁m uy", "▁mu y", "ár io", "á rio", "▁cert ificate", "▁certific ate", "чно го", "ч ного", "▁prov ince", "▁provin ce", "pa ges", "page s", "pag es", "p ages", "da l", "d al", "▁Fre der", "▁Fr eder", "▁Fred er", "ь е", "Exec ute", "▁an cient", "▁anci ent", "▁anc ient", "▁ancien t", "▁fil ms", "▁film s", "▁Al fred", "▁Alf red", "Aut o", "A uto", "▁a tom", "▁at om", "▁ atom", "▁e ll", "▁el l", "▁ ell", "▁H arr", "▁Har r", "▁Ha rr", "й н", "▁\" #", "▁n acional", "▁nac ional", "▁neigh bor", "▁neighb or", "сту па", "ступ а", "▁w it", "Po p", "P op", "▁G reek", "▁Gre ek", "▁Gree k", "▁re peat", "▁repe at", "▁ repeat", "ba d", "b ad", "▁S C", "▁ SC", "▁Date Time", "▁ DateTime", "ш ти", "▁W H", "▁ WH", "▁пра ви", "▁прав и", "▁ прави", "▁Т и", "▁s aison", "▁sa ison", "▁H art", "▁Har t", "▁Ha rt", "direct ory", "d irectory", "ua n", "u an", "no rm", "nor m", "n orm", "▁Phil ipp", "▁Phili pp", "▁Philip p", "▁su spect", "▁sus pect", "▁susp ect", "▁an no", "▁ann o", "▁ anno", "b c", "с ла", "$ (", "▁be find", "▁bef ind", "oc s", "o cs", "la test", "lat est", "late st", ";\" >", "; \">", "▁after wards", "PU T", "P UT", "▁j a", "▁ ja", "▁H il", "▁Hi l", "y z", "▁B our", "▁Bo ur", "▁Bou r", "▁la id", "▁Д же", "▁Дж е", "pi e", "p ie", "w atch", "▁E q", "▁ Eq", "cont act", "ib er", "ibe r", "i ber", "check box", "▁esp añ", "▁espa ñ", "an se", "ans e", "▁ш ко", "▁ шко", "ef f", "e ff", "xx x", "x xx", "▁G ET", "▁ GET", "▁l ov", "▁lo v", "▁ lov", "it ute", "itu te", "itut e", "ze ch", "zec h", "z ech", "ter e", "te re", "t ere", "▁p urs", "▁pu rs", "▁pur s", "ke ns", "ken s", "k ens", "ian te", "i ante", "▁F ree", "▁Fre e", "▁Fr ee", "▁ Free", "▁ор гани", "▁орган и", "kre is", "▁{ :", "▁ {:", "sh ared", "share d", "sha red", "▁G raph", "▁Gr aph", "▁Gra ph", "▁ Graph", "▁conne ctions", "▁connection s", "▁connect ions", "▁D OM", "▁DO M", "▁ DOM", "▁C art", "▁Car t", "▁Ca rt", "▁ Cart", "ss on", "s son", "▁H amilton", "те ли", "тел и", "▁r estaur", "▁rest aur", "▁resta ur", "Re sol", "Res ol", "Dr iver", "D river", "▁en f", "▁ enf", "ED IT", "▁p rev", "▁pr ev", "▁pre v", "▁ prev", "▁i k", "▁ ik", "▁s ă", "j ö", "▁С ССР", "▁col our", "ch ten", "cht en", "chte n", "▁e stad", "▁est ad", "▁esta d", "in ois", "ino is", "▁con fir", "▁conf ir", "▁v é", "▁ vé", "▁C es", "▁Ce s", "▁N ever", "▁Ne ver", "▁Nev er", "om er", "ome r", "o mer", "ж да", "с лу", "че ния", "dl l", "d ll", "▁y outh", "▁you th", "▁yo uth", "em en", "eme n", "e men", "▁stud ied", "▁studi ed", "▁K il", "▁Ki l", "ci on", "cio n", "c ion", "▁n avig", "▁nav ig", "re quired", "require d", "orith ms", "orithm s", "il or", "ilo r", "i lor", "▁Deutsch en", "▁Deutsche n", "▁person s", "▁pers ons", "▁Barcel ona", "▁form ation", "▁format ion", "▁forma tion", "▁ formation", "ab ei", "abe i", "a bei", "▁про тив", "▁проти в", "Eng ine", "ON E", "O NE", "og rá", "Ca p", "C ap", "ri r", "r ir", "▁g ate", "▁ga te", "▁gat e", "▁ gate", "or ation", "ora tion", "ma ven", "m aven", "▁comb ined", "▁combin ed", "▁combine d", "▁at tr", "▁att r", "▁ attr", "▁h ook", "▁ho ok", "▁ hook", "▁которы й", "▁ser vers", "▁server s", "▁serv ers", "▁serve rs", "uct ure", "же ння", "жен ня", "t v", "▁re q", "▁r eq", "▁ req", "ja l", "j al", "▁loc ally", "▁local ly", "}} {\\", "}}{ \\", "} }{\\", "B r", "▁H ier", "▁Hi er", "мо р", "м ор", "▁a part", "▁ap art", "▁apar t", "\"] ,", "\" ],", "▁%> %", "▁z usammen", "▁zus ammen", "▁ident ify", "▁Al tern", "▁Alt ern", "▁Alter n", "▁б ро", "▁ бро", "▁ц и", "▁ ци", "g h", "▁T en", "▁Te n", "R S", "фор ма", "▁n elle", "▁ne lle", "▁nel le", "▁nell e", "▁ nelle", "▁H in", "▁Hi n", "ound ing", "oun ding", "▁re prés", "▁rep rés", "▁repr és", "ap h", "a ph", "▁[ \\", "▁ [\\", "▁S ports", "▁Sport s", "ра л", "р ал", "▁t hre", "▁th re", "▁thr e", "▁p rin", "▁pr in", "▁pri n", "▁El iz", "▁Eli z", "▁F our", "▁Fou r", "▁Fo ur", "▁soci ety", "▁soc iety", "Trans action", "▁v eg", "▁ve g", "▁ veg", "▁sch ools", "▁school s", "▁over all", "▁t ail", "▁ta il", "▁ tail", "üb er", "ü ber", "▁S ov", "▁So v", "▁С ер", "▁Се р", "▁r app", "▁ra pp", "▁rap p", "▁tra ffic", "qu estion", "quest ion", "ques tion", "▁en viron", "▁envi ron", "▁ environ", "ate ien", "ic us", "i cus", "▁n arrow", "▁narr ow", "▁nar row", "▁p ray", "▁pr ay", "▁pra y", "▁B ou", "▁Bo u", "▁C lient", "▁Cl ient", "▁ Client", "ab l", "a bl", "▁Aud iod", "▁Audio d", "▁n pm", "▁np m", "▁ npm", "▁Col umn", "▁ Column", "▁G ames", "▁Game s", "▁Ga mes", "▁Gam es", "av er", "ave r", "a ver", "ony mes", "onym es", "onyme s", "▁По сле", "n ą", "▁N u", "▁D ick", "▁Di ck", "▁Dic k", "▁t ensor", "▁tens or", "▁ tensor", "▁@ \"", "▁ @\"", "v é", "I con", "▁по да", "▁под а", "▁ пода", "▁G on", "▁Go n", "/) .", "/ ).", "is tra", "ist ra", "istr a", "i stra", "▁Audiod ateien", "De lete", "Del ete", "}} }", "} }}", "▁j ump", "▁ju mp", "▁О б", "▁princi ple", "▁princip le", "▁Ét ats", "ok ed", "oke d", "o ked", "▁В ла", "Inter val", "▁s au", "▁sa u", "en code", "enc ode", "▁p on", "▁po n", "▁ pon", "cat ch", "c atch", "▁t iem", "▁ti em", "▁tie m", "▁G ust", "▁Gu st", "M C", "lim its", "limit s", "▁ke eping", "▁keep ing", "▁s ongs", "▁son gs", "▁song s", "▁ав гу", "▁рай он", "▁райо н", "▁not ification", "▁ notification", "▁off ered", "▁offer ed", "Co r", "C or", "▁sh ut", "error s", "err ors", "▁E N", "▁ EN", "▁lat ach", "▁sel bst", "▁check box", "▁ checkbox", "▁c ool", "▁co ol", "▁f actory", "▁fact ory", "▁factor y", "▁ factory", "▁pa id", "dim ensional", "ni ej", "nie j", "n iej", "pt on", "pto n", "p ton", "▁p in", "▁pi n", "▁ pin", "ak ed", "ake d", "a ked", "▁re li", "▁r eli", "▁rel i", "▁T aylor", "▁S omething", "▁Some thing", "▁Som ething", "▁ Something", "im um", "▁V in", "▁Vi n", "▁iter ation", "Fin d", "Fi nd", "F ind", "ко ви", "ков и", "к ови", "▁bo ys", "▁boy s", "▁Sim ple", "▁ Simple", "▁C rist", "▁Cr ist", "▁Cris t", "▁W as", "▁Wa s", "ân d", "â nd", "▁V a", "▁т ра", "▁ тра", "▁dest ination", "▁destin ation", "▁ destination", "li mp", "lim p", "l imp", "▁K at", "▁Ka t", "wor th", "wort h", "w orth", "▁K or", "▁Ko r", "i ção", "= `", "▁fair ly", "fall s", "fal ls", "f alls", "▁re ject", "▁d ream", "▁dre am", "be ll", "bel l", "b ell", "▁t oute", "▁to ute", "▁tout e", "▁tou te", "▁$ \\{", "▁$\\ {", "▁st one", "▁sto ne", "▁ stone", "▁prote ct", "▁prot ect", "▁ex cell", "▁exc ell", "▁excel l", "▁Me xico", "▁Mex ico", "▁d ash", "▁da sh", "▁das h", "▁ dash", "▁f ault", "▁fa ult", "▁ fault", "p matrix", "al ler", "all er", "alle r", "▁guer re", "or igin", "ori gin", "orig in", "hi bernate", "í lia", "▁Reg ister", "▁ Register", "un to", "unt o", "▁B at", "▁Ba t", "▁b ow", "▁bo w", "▁ bow", "сь ких", "ськ их", "et à", "▁L uis", "▁Lu is", "▁f ou", "▁fo u", "▁Cam bridge", "▁Camb ridge", "▁o tt", "▁ot t", "▁ ott", "su p", "s up", "re as", "rea s", "▁point ers", "▁pointer s", "▁Bo ard", "▁ Board", "▁р и", "▁ ри", "▁d riv", "▁dr iv", "▁dri v", "ни н", "н ин", "▁C irc", "▁Ci rc", "▁Cir c", "▁ Circ", "▁t hou", "▁th ou", "Di v", "D iv", "sp ark", "s park", "la ment", "lam ent", "l ament", "▁V AL", "▁ VAL", "Se nd", "S end", "▁Ir ish", "o y", "▁T u", "▁ Tu", "▁t rivial", "Form s", "For ms", "▁as í", "▁Im per", "▁Imp er", "▁sign ature", "un os", "uno s", "u nos", "▁N eg", "▁Ne g", "▁can cel", "▁ cancel", "▁Hein rich", "ee d", "e ed", "Ill ustration", "▁s ulla", "▁su lla", "▁sul la", "▁sull a", "▁qu arter", "▁quart er", "▁quar ter", "as z", "a sz", "▁b log", "▁bl og", "▁blo g", "▁ blog", "fi ca", "fic a", "f ica", "wo n", "w on", "qu et", "que t", "q uet", "]) )", "] ))", "▁gener ation", "▁c aught", "▁ caught", "▁l ands", "▁land s", "▁lan ds", "▁ lands", "▁King dom", "schaft en", "ro ns", "ron s", "r ons", "ann els", "annel s", "anne ls", "▁Spe cial", "▁Spec ial", "▁ Special", "t utorial", "ti p", "t ip", "▁\" \",", "▁\"\" ,", "▁Az ure", "▁ Azure", "▁b ounded", "▁bound ed", "▁ bounded", "S m", "ta r", "t ar", "ве н", "в ен", "▁з ем", "▁зе м", "▁ зем", "▁not ation", "▁ notation", "▁ap ache", "▁ apache", "▁g az", "▁ga z", "ier no", "i erno", "an gen", "ang en", "ange n", "pect ive", "▁elect ric", "▁s emi", "▁se mi", "▁sem i", "MA X", "M AX", "ed erb", "eder b", "ede rb", "object s", "▁dif ferences", "▁differ ences", "▁difference s", "is ted", "ist ed", "iste d", "i sted", "hr ef", "hre f", "h ref", "ic ip", "ici p", "i cip", "▁num py", "▁ numpy", "▁ф утбо", "lo ader", "load er", "▁d ich", "▁di ch", "▁dic h", "љ у", "▁D é", "H z", "▁P aram", "▁Par am", "▁Pa ram", "▁Para m", "▁ Param", "document ation", "ir craft", "irc raft", "E M", "▁inst itution", "▁instit ution", "com pat", "comp at", "▁а ль", "▁ал ь", "▁ аль", "сла в", "с лав", "▁N et", "▁Ne t", "▁ Net", "ци ональ", "цион аль", "циона ль", "▁broad cast", "date time", "dat etime", "as ync", "asy nc", "a sync", "vr e", "v re", "me an", "▁C hem", "▁Ch em", "▁Che m", "▁est imate", "▁estim ate", "ic ana", "ica na", "ican a", "▁g rep", "▁gr ep", "▁gre p", "▁ grep", "te k", "t ek", "ä m", "or ig", "ori g", "o rig", "▁Vict or", "▁Vi ctor", "▁Vic tor", "ut enant", "ute nant", "uten ant", "an ga", "ang a", "pi n", "p in", "▁ver tex", "▁vert ex", "▁verte x", "▁CHAP TER", "ci ty", "cit y", "c ity", "ug by", "gr een", "gre en", "g reen", "▁K er", "▁Ke r", "▁dif fér", "▁diff ér", "▁necess arily", "D C", "Line ar", "Lin ear", "Li near", "al em", "ale m", "a lem", "▁L ater", "▁La ter", "▁Lat er", "▁Late r", "▁m eta", "▁me ta", "▁met a", "▁ meta", "je m", "j em", "ra gen", "rag en", "rage n", "r agen", "Ma y", "M ay", "▁Mitg lied", "▁s orted", "▁sort ed", "▁sor ted", "▁sorte d", "▁ sorted", "us sen", "uss en", "▁sp oke", "▁spo ke", "▁dis abled", "▁disable d", "▁ disabled", "▁accompl ish", "▁accomp lish", "▁Russ ia", "th ere", "ther e", "the re", "t here", "ee s", "e es", "▁h all", "▁ha ll", "▁hal l", "▁ hall", "▁met ric", "▁ metric", "att ribute", "то го", "т ого", "ab out", "▁L am", "▁La m", "ch annel", "chan nel", "▁e pisode", "▁epis ode", "▁$ ('.", "▁$( '.", "▁$(' .", "▁ ought", "▁E ste", "▁Est e", "▁Es te", "Object s", "▁valid ate", "▁ validate", "▁r im", "▁ri m", "▁ rim", "▁numer ous", "▁numero us", "▁J avascript", "▁Java script", "▁G L", "▁ GL", "▁It aly", "▁Ital y", "ederb örd", "on ato", "ona to", "bo oks", "book s", "st one", "ston e", "sto ne", "х у", "▁j el", "▁je l", "▁ jel", "ir i", "i ri", "▁A SP", "▁AS P", "G A", "▁st ata", "▁stat a", "▁sta ta", "▁b az", "▁ba z", "▁ baz", "Da y", "D ay", "th m", "t hm", "d h", "▁F iles", "▁Fil es", "▁File s", "▁ Files", "Android Runtime", "▁che cks", "▁check s", "k r", "▁v enne", "▁ven ne", "S L", "av ia", "avi a", "a via", "ka zy", "kaz y", "k azy", "▁Th ree", "▁ Three", "Ad min", "▁col lege", "▁coll ege", "▁colleg e", "▁colle ge", "G lobal", "ti on", "t ion", "▁cur ious", "sh ort", "▁b ass", "▁bas s", "▁ba ss", "де ла", "▁де я", "Sch ema", "' \\", "di ff", "d iff", "▁C A", "▁ CA", "▁Cor por", "▁oper ators", "▁operator s", "om rå", "▁ed ges", "▁edge s", "); `", ") ;`", "in ds", "ind s", "▁g ing", "▁gi ng", "▁ ging", "& &", "}- \\", "} -\\", "ra no", "ran o", "r ano", "▁s ão", "▁ad ds", "▁add s", "el or", "elo r", "e lor", "▁un signed", "▁uns igned", "▁ unsigned", "▁п р", "▁ пр", "▁Con fig", "▁Conf ig", "▁ Config", "▁E sc", "▁Es c", "▁ch ose", "▁cho se", "▁pie ces", "▁piece s", "▁reg ions", "▁region s", "Es t", "E st", "▁B attle", "▁Batt le", "▁f oc", "▁fo c", "▁L ight", "▁Lig ht", "▁ Light", "pad ding", "p adding", "ab en", "abe n", "a ben", "▁e urop", "▁eu rop", "▁euro p", "il lon", "ill on", "illo n", "▁е сть", "▁b ord", "▁bo rd", "▁bor d", "▁о тно", "▁от но", "▁H ong", "▁Hon g", "▁Ho ng", "▁v ul", "▁vu l", "pl ugins", "plugin s", "▁' <", "▁k ur", "▁ kur", "reg ion", "▁Re pub", "▁Rep ub", "ic her", "ich er", "iche r", "i cher", "}_ \\", "} _\\", "▁me dal", "▁med al", "▁More over", "B I", "A v", "ut er", "ute r", "u ter", "▁s can", "▁sc an", "▁ scan", "▁M unicip", "▁Mun icip", "▁contr ast", "▁contra st", "▁I g", "▁ Ig", "▁го род", "▁горо д", "▁гор од", "▁ город", "rel ated", "al ing", "ali ng", "alin g", "a ling", "▁м ат", "▁ма т", "▁ мат", "ün st", "▁Ch ris", "▁Chr is", "w y", "▁Act ually", "▁Univers idad", "Event Listener", "▁tempor ada", "▁ass ignment", "▁assign ment", "▁M ike", "▁Mi ke", "▁Mik e", "▁w ährend", "▁ś wi", "▁św i", "▁с ред", "▁сре д", "ка де", "▁calcul ated", "▁calculate d", "▁calc ulated", "▁el ler", "▁elle r", "▁ell er", "▁ eller", "▁A sh", "▁As h", "ri el", "rie l", "r iel", "▁hard ware", "▁int ens", "▁inte ns", "▁inten s", "(' .", "( '.", "il li", "ill i", "ag on", "ago n", "a gon", "▁G y", "▁he ute", "▁heut e", "▁s le", "▁sl e", "▁liter ature", "se m", "s em", "man ager", "mana ger", "▁Gr ande", "▁Gra nde", "▁Grand e", "▁Gran de", "▁m ixed", "▁mix ed", "▁В ер", "▁Ве р", "í cí", "▁s oit", "▁so it", "▁wel come", "че ние", "▁Univers ität", "▁bu ilder", "▁build er", "▁ builder", "sim ple", "simp le", "ic ode", "ico de", "i code", "ř e", "in dent", "ind ent", "inden t", "inde nt", "op o", "o po", "▁ad vanced", "▁adv anced", "▁advance d", "tem per", "temp er", "ed ge", "▁dat etime", "▁date time", "▁ datetime", "▁d onc", "▁do nc", "▁don c", "ла ння", "лан ня", "▁v erd", "▁ver d", "▁ve rd", "д но", "it os", "ito s", "▁he at", "vi sible", "vis ible", "me l", "m el", "▁Giov anni", "▁var iety", "▁vari ety", "▁r outer", "▁ro uter", "▁route r", "▁rout er", "▁rou ter", "▁ router", "Vec tor", "V ector", "▁W alk", "▁Wal k", "▁ob viously", "▁obvious ly", "he in", "h ein", "Fi n", "F in", "ITable View", "Y ear", "▁E conom", "▁vel ocity", "▁veloc ity", "▁C ivil", "▁Ci vil", "▁ ј", "al ert", "ale rt", "aler t", "Ident ifier", "èn cia", "▁normal ly", "▁norm ally", "▁E gypt", "▁Egy pt", "▁c tx", "▁ ctx", "▁Ver ein", "▁Vere in", "▁H u", "ult ure", "ultur e", "ни те", "l é", "▁W ien", "▁Wi en", "▁Wie n", "▁P rz", "▁Pr z", "By te", "▁n ah", "▁na h", "▁ nah", "is ms", "ism s", "▁Pub lish", "▁He rz", "▁Her z", "ic ul", "i cul", "pis ode", "ч і", "▁die sem", "▁dies em", "▁diese m", "k ö", "Vis ible", "▁r ig", "▁ri g", "▁ rig", "`) .", "` ).", "Par se", "P arse", "▁Jac ques", "N I", "▁g lass", "▁gl ass", "▁gla ss", "▁ glass", "-- -+", "--- +", "- --+", "▁initial ly", "▁initi ally", "▁k r", "▁ kr", "CC N", "C CN", "pl ays", "play s", "pla ys", "▁s igu", "▁si gu", "▁sig u", "F older", "st orage", "sto rage", "stor age", "▁\\ |", "▁ \\|", "iv os", "ivo s", "i vos", "ск ую", "ску ю", "▁M oh", "▁Mo h", "▁Comm ittee", "▁K im", "▁Ki m", "e u", "те м", "т ем", "▁orig inale", "▁original e", "▁origin ale", "ir s", "i rs", "▁R eb", "▁Re b", "it ut", "itu t", "n l", "▁P ier", "▁Pi er", "▁Pie r", "▁] ;", "▁ ];", "▁F al", "▁Fa l", "▁\" \";", "▁\"\" ;", "mv c", "m vc", "▁fe male", "▁fem ale", "▁b ridge", "▁br idge", "▁brid ge", "▁ bridge", "▁t ít", "kt r", "k tr", "> )", "▁se at", "▁sea t", "▁v ess", "▁ve ss", "▁ves s", "▁U SB", "▁US B", "▁Art icles", "▁Article s", "▁De scription", "▁Des cription", "▁Descri ption", "▁ Description", "▁o c", "▁ oc", "▁h ouses", "▁house s", "▁ho uses", "▁hous es", "▁П ет", "▁Пе т", "lo n", "l on", "Not ification", "▁press ure", "▁ку ль", "▁ куль", "ig ned", "ign ed", "igne d", "▁relig ious", "fa n", "f an", "ig lia", "igli a", "▁class ification", "▁classific ation", "og ether", "oge ther", "▁S DK", "▁SD K", "▁ SDK", "▁H uman", "▁Hu man", "▁Hum an", "▁com mission", "▁comm ission", "▁О р", "▁an tes", "▁ant es", "▁ante s", "▁ antes", "D T", "èt e", "è te", "pr és", "p rés", "/ \"", "▁( «", "▁h ö", "▁ hö", "▁ча с", "▁ час", "▁j ak", "▁ja k", "▁ jak", "ie nen", "ien en", "iene n", "i enen", "ug g", "u gg", "W A", "▁place holder", "▁ placeholder", "Wil l", "W ill", ", ,", "▁K am", "▁Ka m", "▁w en", "▁we n", "▁ wen", "▁Sch ul", "ți e", "ț ie", "▁a ud", "▁au d", "▁ aud", "▁s ue", "▁su e", "▁re ferred", "▁refer red", "ва т", "в ат", "▁P ara", "▁Par a", "▁Pa ra", "▁b la", "▁bl a", "▁ bla", "UE S", "U ES", "▁stat ist", "▁stati st", "▁т у", "▁ ту", "▁Wars za", "gu e", "g ue", "▁I de", "▁Id e", "math scr", "▁l ieu", "▁li eu", "▁lie u", "▁b od", "▁bo d", "▁r us", "▁ru s", "▁ rus", "▁bo at", "xs pace", "x space", "▁mod al", "▁mo dal", "▁ modal", "ле к", "л ек", "to pic", "top ic", "ma ny", "man y", "m any", "sk ý", "▁organ ization", "▁organiz ation", "▁г ене", "▁ге не", "▁Wil son", "▁com fort", "ib il", "i bil", ": -", "▁an imal", "▁anim al", "▁ani mal", "Re port", "Rep ort", "ка ми", "кам и", "jo n", "j on", "▁k er", "▁ke r", "▁ ker", "▁к ни", "moz illa", "Pr ice", "P rice", "ant in", "anti n", "em ento", "ement o", "emen to", "ma y", "m ay", "▁l ung", "▁lu ng", "▁lun g", "▁ lung", "▁b low", "▁bl ow", "▁blo w", "ede ut", "▁type d", "▁typ ed", "▁ty ped", "▁dec ember", "▁. ...", "▁... .", "▁.. ..", "▁ ....", "li ance", "l iance", "▁v iel", "▁vi el", "▁vie l", "▁Ф и", "pr esa", "pre sa", "pres a", "▁ос іб", "▁N am", "▁Na m", "▁G ren", "▁Gr en", "▁Gre n", "си лання", "VI D", "V ID", "st re", "str e", "s tre", "we is", "wei s", "▁prote ction", "▁protect ion", "▁prot ection", "ta ient", "t aient", "▁offic ers", "▁office rs", "▁officer s", "т но", "▁B rig", "▁Br ig", "▁int ellig", "▁intel lig", "я х", "IT H", "I TH", "▁separ ated", "▁separate d", "▁L CCN", "ní m", "n ím", "cl ock", "clo ck", "c lock", "▁ap are", "▁apar e", "яв и", "я ви", "▁Eliz abeth", "▁W ater", "▁Wat er", "▁Wa ter", "geb iet", "▁con vent", "▁conv ent", "▁conven t", "fu rt", "fur t", "f urt", "▁be iden", "▁bei den", "▁beide n", "ba sh", "bas h", "b ash", "▁че рез", "▁чер ез", "▁u b", "▁ ub", "▁Stat ist", "▁Stati st", "▁lim its", "▁limit s", "▁ limits", "V ol", "ct x", "c tx", "▁но в", "▁н ов", "▁ нов", "gu ide", "gui de", "mi c", "m ic", "ie sa", "ies a", "i esa", "▁h uvud", "R T", "Fi g", "F ig", "▁l ect", "▁le ct", "▁ lect", "con n", "co nn", "c onn", "im it", "imi t", "i mit", "га р", "г ар", "▁b ajo", "▁ba jo", "scri be", "scr ibe", "s cribe", "re gex", "reg ex", "▁C ass", "▁Cas s", "▁Ca ss", "▁pro pag", "▁prop ag", "' $", "▁prof es", "un ique", "uni que", "▁S ql", "▁ Sql", "un ion", "uni on", "ri os", "rio s", "r ios", "pi p", "p ip", "-- +", "- -+", "ka dem", "k adem", "column s", "▁v ary", "▁var y", "▁va ry", "▁bere its", "▁d oi", "▁do i", "▁Com mon", "▁Comm on", "▁ Common", "▁Ro bin", "▁Rob in", "▁ ×", "▁s ei", "▁se i", "▁s yst", "▁sy st", "▁sys t", "▁v ä", "▁ vä", "▁De fault", "▁Def ault", "▁ Default", "▁t ym", "▁ty m", "pe l", "p el", "▁bel ieved", "▁believe d", "▁pro vider", "▁prov ider", "▁provide r", "▁ provider", "▁min imal", "▁minim al", "▁mini mal", "та ли", "тал и", "т али", "ain es", "ai nes", "aine s", "a ines", "K it", "iz io", "izi o", "is sen", "iss en", "isse n", "pr essed", "press ed", "pres sed", "▁s tag", "▁st ag", "▁sta g", "▁ stag", "▁u int", "▁ui nt", "▁ uint", "ko r", "k or", "▁ра спо", "▁рас по", "▁in herit", "▁inher it", "▁comp iled", "▁compile d", "▁f ebru", "▁fe bru", "▁feb ru", "▁t mp", "▁tm p", "▁ tmp", "work s", "wor ks", "ч на", "draw able", "▁N av", "▁Na v", "▁ Nav", "▁though ts", "▁thought s", "ro ute", "rout e", "rou te", "r oute", "▁con cert", "▁conc ert", "▁conce rt", "▁option al", "▁opt ional", "▁ optional", "▁b ras", "▁br as", "▁bra s", "▁ bras", "▁prov iding", "со м", "с ом", "id x", "i dx", "emp lo", "empl o", "▁ко ли", "▁ коли", "▁B ere", "▁Be re", "▁Ber e", "▁E ls", "▁El s", "ре мен", "рем ен", "▁де ка", "co ut", "cou t", "c out", "la yer", "lay er", "l ayer", "▁g lob", "▁gl ob", "▁glo b", "▁ glob", "fore ach", "for each", "▁E ducation", "▁Edu cation", "P O", "▁im prov", "▁imp rov", "▁impro v", "▁impr ov", "▁cl ients", "▁client s", "▁cli ents", "gr oups", "group s", "gro ups", "▁k ont", "▁kon t", "▁ko nt", "De l", "D el", "re tt", "ret t", "r ett", "▁s up", "▁su p", "▁ sup", "▁m og", "▁mo g", "ta n", "t an", "▁com pl", "▁comp l", "ir ty", "irt y", "▁nouve au", "os z", "o sz", "▁N avy", "▁Na vy", "▁Nav y", "ber e", "be re", "b ere", "ma sk", "mas k", "m ask", "ov é", "o vé", "zi l", "z il", "PE R", "P ER", "▁pobla ción", "▁població n", "▁d etailed", "▁detail ed", "ле т", "л ет", "▁famil ies", "▁familie s", "ab et", "abe t", "a bet", "е вич", "änd er", "än der", "ände r", "ä nder", "▁å r", "▁ år", "▁p endant", "▁b il", "▁bi l", "▁ bil", "▁h int", "▁hi nt", "▁hin t", "ode n", "od en", "o den", "▁exp ansion", "▁p ont", "▁po nt", "▁pon t", "▁ pont", "as ant", "asa nt", "▁K ind", "▁Ki nd", "▁Kin d", "▁ Kind", "ij i", "i ji", "▁A uth", "▁Aut h", "▁Au th", "▁ Auth", "laim ed", "ref lect", "] =", "by tes", "byte s", "ho ver", "hov er", "h over", "▁ц ер", "▁це р", "▁ цер", "grad le", "Ar ch", "ap est", "ape st", "apes t", "ás a", "á sa", "Car d", "Ca rd", "C ard", "▁tempor ary", "▁départ ement", "class es", "жи ва", "▁х удо", "▁m ole", "▁mo le", "▁mol e", "R Y", "L P", "▁p ec", "▁pe c", "▁ pec", "rodu ction", "▁Gu ard", "▁Par liament", "▁inst anti", "▁instant i", "▁not amment", "▁D oug", "▁Do ug", "▁Dou g", "▁Mar sh", "▁Mars h", ". ~", "▁\\ \"", "▁ \\\"", "▁t hé", "▁th é", "▁li bre", "▁lib re", "do es", "▁dé but", "▁U nit", "▁Un it", "▁ Unit", "▁с ту", "▁ст у", "▁ сту", "▁le ague", "▁qu ale", "▁q uale", "▁qual e", "▁состав ля", "▁соста вля", "Se curity", "Sec urity", "▁appar ently", "▁apparent ly", "▁tro ops", "ic ano", "ica no", "ican o", "i cano", "▁M B", "▁ MB", "en ze", "enz e", "lo ading", "load ing", "▁dist ributed", "▁distribu ted", "▁distrib uted", "write r", "writ er", "wr iter", "w riter", "res ources", "resource s", "h ö", "ut ils", "util s", "uti ls", "▁prep ared", "▁prepar ed", "▁prepare d", "ci er", "cie r", "c ier", "op ol", "opo l", "o pol", "▁län kar", "he s", "h es", "н ва", "▁op ens", "▁open s", "▁ opens", "ag og", "ago g", "inter face", "▁F und", "▁Fu nd", "▁Fun d", "▁pent ru", "ní ch", "n ích", "▁config ured", "▁configure d", "▁configur ed", "▁Web site", "▁list ener", "▁listen er", "▁liste ner", "▁ listener", "iv el", "ive l", "i vel", "n ę", "min a", "mi na", "m ina", "▁in vest", "▁inv est", "▁inve st", "▁м іс", "▁мі с", "▁d av", "▁da v", "▁p atch", "▁pat ch", "▁ patch", "pi eler", "piel er", "pie ler", "▁Ext erna", "▁Extern a", "t f", "▁e red", "▁er ed", "▁ere d", "▁ ered", "▁Ass embly", "▁ Assembly", "▁s out", "▁so ut", "▁sou t", "▁v erk", "▁ver k", "▁ verk", "me rs", "mer s", "m ers", "t oggle", "▁up dating", "▁upd ating", "▁K ent", "▁Ke nt", "▁Ken t", "ec a", "e ca", "FA ULT", "▁tit re", "▁ti tre", "▁K enn", "▁Ke nn", "▁Ken n", "▁Ми ха", "ст ор", "сто р", "с тор", "▁p ode", "▁po de", "▁pod e", "▁S eb", "▁Se b", "це в", "ц ев", "E Y", "▁sil ver", "▁cap acity", "▁capac ity", "▁comple tion", "▁complet ion", "▁Pe dro", "▁Ped ro", "fe l", "f el", "va no", "van o", "v ano", "ze ug", "▁in terior", "▁inter ior", "▁inte rior", "▁Res ponse", "▁ Response", "éd ia", "é dia", "▁World Cat", "▁c ă", "qu el", "que l", "q uel", "So l", "S ol", "іс ля", "▁D omin", "▁Do min", "▁Dom in", "▁c um", "▁cu m", "ce p", "c ep", "▁M use", "▁Mus e", "▁Mu se", "▁M aría", "▁Mar ía", "▁Ma ría", "▁function al", "▁ad apter", "▁adapt er", "▁ adapter", "config uration", "▁t ipo", "▁tip o", "▁ti po", "▁B ry", "▁Br y", "v y", "U L", "▁tra vers", "▁trav ers", "! (", "▁absol utely", "▁absolute ly", "л та", "тт я", "т тя", "▁I T", "▁ IT", "▁во ен", "yc le", "y cle", "be st", "bes t", "b est", "▁construct ed", "▁constru cted", "▁фи ль", "▁ филь", "ci do", "cid o", "c ido", "ex it", "ga rt", "gar t", "g art", "▁provin cia", "ve z", "v ez", "ci pl", "cip l", "▁Face book", "▁Fac ebook", "▁y ellow", "▁ yellow", "▁Sum mer", "▁point ing", "▁poss ibility", "▁possib ility", "▁possibil ity", "▁leg isl", "▁мо ж", "▁ мож", "de rn", "der n", "d ern", "ко но", "кон о", "▁mechan ism", "▁Bern ard", "ex pr", "exp r", "ло ви", "лов и", "л ови", "▁dig its", "▁digit s", "▁de legate", "▁deleg ate", "▁ delegate", "og ram", "o gram", "▁D ictionary", "▁ Dictionary", "is y", "▁s po", "▁sp o", "/ $", "clude d", "clud ed", "▁M VC", "▁t ém", "▁té m", "▁print ed", "▁prin ted", "▁G ott", "▁Go tt", "▁Got t", "▁O m", "▁ Om", "ans as", "▁D urch", "▁Dur ch", "▁I dent", "▁Id ent", "▁Ide nt", "▁ Ident", "Q U", "ht m", "h tm", "▁S ul", "▁Su l", "'] .", "' ].", "▁du ty", "▁dut y", "▁Aut hor", "▁Auth or", "▁ Author", "▁n ě", "▁ ně", "ow ego", "owe go", "pu s", "p us", "em bl", "emb l", "Exec utor", "B L", "▁M ens", "▁Me ns", "▁Men s", "dis patch", "▁M id", "▁Mi d", "ap ps", "app s", "Trans form", "▁D at", "▁Da t", "▁ Dat", "▁im pl", "▁imp l", "▁ impl", "ou x", "o ux", "ho lm", "hol m", "▁I ns", "▁In s", "▁Emp ire", "ру п", "▁Ap ache", "SI ON", "S ION", "▁pass age", "######## ########", "▁ex pressed", "▁express ed", "▁expr essed", "▁expres sed", "на д", "▁o l", "▁ ol", "▁h avia", "▁ha via", "▁hav ia", "▁бо лее", "▁enjo y", "form ance", "▁dim ensions", "▁dimension s", "▁ч ер", "▁че р", "▁ чер", "Se e", "S ee", "▁m outh", "▁mo uth", "▁mou th", "▁ mouth", "▁g au", "▁ga u", "ien cy", "i ency", "▁Carol ina", "Dis t", "Di st", "D ist", "rad io", "li mit", "lim it", "l imit", "/ ?", "▁B all", "▁Ba ll", "▁Bal l", "ні сть", "Mem ber", "M ember", "wa ter", "w ater", "▁mur der", "▁stand ing", "▁stan ding", "▁ standing", "▁V II", "▁VI I", "Cent er", "C enter", "pp a", "p pa", "ur eau", "ure au", "▁Le ip", "▁ob jet", "▁obj et", "▁Act ivity", "▁Activ ity", "▁ Activity", "em bers", "ember s", "emb ers", "v r", "▁con du", "▁cond u", "Cell s", "C ells", "in us", "inu s", "▁' ,", "▁ ',", "▁af raid", "▁х а", "▁ ха", "▁V ic", "▁Vi c", "test ing", "tes ting", "Tu be", "T ube", "▁v ast", "▁va st", "▁vas t", "P M", "ni h", "n ih", "SS N", "S SN", "▁Ch ile", "▁Chi le", "yl van", "▁B ow", "▁Bo w", "▁relig ion", "op her", "oph er", "ophe r", "o pher", "▁C oll", "▁Col l", "▁Co ll", "▁ Coll", "▁dig ital", "▁digit al", "zi oni", "z ioni", "Se ction", "Sec tion", "S ection", "▁резу льта", "Foo t", "F oot", "con vert", "conv ert", "▁rece iving", "Cont act", "▁h ero", "▁he ro", "▁her o", "sa m", "s am", "▁pos terior", "▁poster ior", "▁poste rior", "ow i", "o wi", "An t", "A nt", "▁fl ags", "▁flag s", "▁fla gs", "▁ flags", "▁Ze aland", "▁b ounds", "▁bound s", "▁ bounds", "▁where as", "▁whe reas", "in fl", "inf l", "Pl ay", "P lay", "▁d emo", "▁de mo", "▁dem o", "▁ demo", "▁g ibt", "▁gi bt", "▁h ospital", "▁hosp ital", "▁v olta", "▁vol ta", "▁volt a", "л ё", "▁f ashion", "▁ex ceed", "▁exc eed", "el enium", "elen ium", "It er", "I ter", "kr ie", "k rie", "▁integr ation", "▁integra tion", "▁ integration", "▁Other wise", "ad u", "a du", "Sh e", "S he", "on de", "ond e", "o nde", "ui nt", "u int", "rad ius", "▁r am", "▁ra m", "▁ ram", "▁ál bum", "▁т ур", "▁ту р", "▁ тур", "▁d y", "▁ dy", "▁O tt", "▁Ot t", "▁пер и", "▁пе ри", "re v", "r ev", "ri or", "rio r", "r ior", "í d", "ir at", "ira t", "i rat", "▁в клю", "▁import ante", "▁important e", "▁Du ke", "▁caus a", "▁ca usa", "▁Math emat", "▁di plom", "▁N icol", "▁Nic ol", "▁Ni col", "▁ex clus", "▁exc lus", "▁debug ging", "▁G h", "or iginal", "origin al", "orig inal", "ly n", "l yn", "▁P la", "▁Pl a", "su ite", "suit e", "ch at", "cha t", "c hat", "▁e stud", "▁est ud", "ue lle", "uel le", "u elle", "▁p ert", "▁per t", "▁pe rt", "▁ pert", "▁import ance", "▁appro aches", "▁approach es", "▁d la", "▁про ф", "Pr es", "Pre s", "P res", "< \\", "pre fix", "p refix", "SS ION", "S SION", "ро ди", "род и", "count ry", "c ountry", "it zer", "itz er", "▁ко р", "▁к ор", "▁ кор", "▁sing ular", "go v", "g ov", "ри н", "р ин", "▁F A", "▁ FA", "▁mat rices", "ol are", "ola re", "olar e", "o lare", "ni ka", "nik a", "n ika", "po wer", "pow er", "p ower", "ll a", "l la", "▁des ire", "▁famil ia", "▁fam ilia", "до р", "д ор", "▁f an", "▁fa n", "▁ fan", "gener ated", "generate d", "▁C os", "▁Co s", "▁ż e", "▁ że", "▁D iese", "▁Die se", "▁Di ese", "▁Dies e", "mo v", "m ov", "▁de note", "▁den ote", "\") ]", "\" )]", "ou vern", "ouv ern", "ouve rn", "ouver n", "am an", "ama n", "a man", "▁in ser", "▁ins er", "▁inse r", "ij k", "i jk", "ot ta", "ott a", "o tta", "er al", "era l", "e ral", "де ль", "д ель", "() ->", "( )->", "▁p oder", "▁po der", "▁pod er", "▁pode r", "ig es", "ige s", "i ges", "▁On line", "▁we ird", "ia c", "i ac", "▁quel ques", "▁quelque s", "ère nt", "è rent", "▁t el", "▁te l", "▁ tel", "▁L atin", "▁Lat in", "ver ter", "vert er", "verte r", "ля р", "ро и", "▁p df", "▁pd f", "▁ pdf", "▁key word", "▁ keyword", "Hand le", "A fter", "re ce", "rec e", "▁ident ical", "style sheet", "styles heet", "▁стан ови", "▁станов и", "▁k a", "▁ ka", "ce ment", "cem ent", "c ement", "те т", "т ет", "▁c hat", "▁ch at", "▁cha t", "▁ chat", "▁M un", "▁Mu n", "ał a", "a ła", "AN T", "A NT", "ol óg", "▁f ant", "▁fa nt", "▁fan t", "▁for est", "▁fo rest", "▁fore st", "▁ви ко", "cu ss", "cus s", "c uss", "▁se hr", "pa g", "p ag", "ot ic", "oti c", "▁á ll", "▁ál l", "▁ áll", "ма ти", "мат и", "▁\" '", "+ \"", "An imation", "Anim ation", "ходи т", "ход ит", "az u", "a zu", "▁pl ays", "▁play s", "▁pla ys", "▁ plays", "iz ioni", "izi oni", "izio ni", "i zioni", "ми че", "▁b omb", "▁bo mb", "▁bom b", "▁mer ely", "▁mere ly", "▁hold ing", "▁hol ding", "▁w enn", "▁we nn", "▁wen n", "▁m edic", "▁me dic", "▁med ic", "▁medi c", "▁spe aking", "▁speak ing", "ong odb", "ongo db", "▁Cam pe", "▁Camp e", "in ity", "ini ty", "init y", "▁я нва", "() `.", "()` .", "( )`.", "lu ss", "lus s", "l uss", "▁H istoire", "▁His toire", "▁Hist oire", "▁oper ating", "▁opera ting", "Ch annel", "▁accur acy", "▁b os", "▁bo s", "▁ bos", "▁ev ident", "ци ю", "event s", "ev ents", "even ts", "text rm", "or eign", "ore ign", "▁i i", "▁ ii", "hr en", "hre n", "h ren", "lo wer", "low er", "l ower", "▁т ом", "▁то м", "▁ том", "▁Ab out", "▁ About", "▁a j", "▁ aj", "er i", "e ri", "сту пи", "ступ и", "▁di git", "▁dig it", "▁ digit", "▁Sp ain", "▁D aten", "▁Date n", "▁Da ten", "▁Dat en", "▁for me", "▁form e", "▁ш та", "▁ шта", "▁B ach", "▁Ba ch", "▁Bac h", "no number", "non umber", "▁recomm ended", "▁recommend ed", "▁re ads", "▁read s", "his toire", "h istoire", "▁s ang", "▁sa ng", "▁san g", "▁? ?", "▁ ??", "▁с тал", "▁ст ал", "▁ста л", "sc ore", "s core", "fa s", "f as", "▁c ub", "▁cu b", "▁g rew", "▁gr ew", "▁gre w", "▁cent ro", "▁bek annt", "Event s", "BE R", "B ER", "he w", "h ew", "сс а", "с са", "▁major ity", "ît re", "î tre", "en ci", "enc i", "▁Qu ery", "▁Que ry", "▁ Query", "▁któ re", "i ć", "▁complex ity", "▁Fran çois", "const raint", "ур на", "═ ═", "▁iter ate", "le tt", "let t", "l ett", "pe ror", "per or", "▁Neder land", "sh are", "sha re", "▁incl u", "▁inc lu", "än ger", "äng er", "änge r", "▁N ic", "▁Ni c", "ч о", "F ull", "▁ra pport", "▁rapp ort", "▁rap port", "ec lipse", "e clipse", "▁indust ry", "he aders", "head ers", "header s", "▁Р и", "ch sel", "chs el", "▁po lic", "▁pol ic", "sch ied", "% ,", "O D", "▁J ak", "▁Ja k", "({ \\", "( {\\", "al igned", "align ed", "▁frequ ently", "▁frequent ly", "▁su oi", "▁suo i", "▁ess entially", "▁essential ly", "▁R ic", "▁Ri c", "▁re ports", "▁report s", "▁dec imal", "ra r", "r ar", "▁F oo", "▁Fo o", "▁ Foo", "▁K a", "▁D C", "▁ DC", "▁sim pler", "▁simple r", "▁simp ler", "▁simpl er", "Pa ne", "Pan e", "P ane", "? }", "So rt", "S ort", "▁pos it", "cd n", "c dn", "kt ur", "▁aw k", "▁ awk", "зе р", "з ер", "P F", "u ur", "▁R oss", "▁Ro ss", "▁Ros s", "▁m ant", "▁ma nt", "▁man t", "N a", "Con s", "Co ns", "C ons", ")) ))", "))) )", ") )))", "▁techn iques", "▁techni ques", "▁technique s", "im pl", "imp l", "▁dro pped", "▁drop ped", "▁L ista", "▁List a", "▁Li sta", "▁Lis ta", "▁Bas ically", "▁Basic ally", "en tal", "ent al", "enta l", "▁cel ui", "▁str ategy", "▁strateg y", "▁strat egy", "▁W ales", "▁Wal es", "▁Wa les", "na n", "n an", "▁g min", "▁gr öß", "▁eer ste", "▁eerst e", "T im", "nt en", "n ten", "re sp", "res p", "r esp", "▁s table", "▁st able", "▁sta ble", "▁ stable", "no v", "n ov", "ro b", "r ob", "но ј", "▁mar riage", "get String", "Aut hor", "Auth or", "▁G raf", "▁Gr af", "▁Gra f", "▁di agram", "▁diag ram", "▁dia gram", "gi a", "g ia", "Net work", "N etwork", "▁com posed", "▁comp osed", "▁compos ed", "▁compose d", "▁miss ed", "▁mis sed", "▁M eg", "▁Me g", "▁пра во", "▁прав о", "▁hom onymes", "▁Bo oks", "▁Book s", "▁en cou", "▁enc ou", "port e", "por te", "p orte", "▁rot ation", "▁f ir", "▁fi r", "▁ fir", "те льно", "тель но", "▁g un", "▁gu n", "▁ gun", "▁A ff", "▁Af f", "▁ Aff", "но к", "н ок", "▁Fuß ball", "▁St ory", "▁Sto ry", "▁ Story", "▁Ch ap", "▁Cha p", "▁) .", "▁ ).", "▁Se it", "мо н", "м он", "▁t élé", "▁té lé", "▁cop ied", "▁cons istent", "▁consist ent", "▁dr ink", "▁C ham", "▁Ch am", "▁Cha m", "▁mat ters", "▁matter s", "▁render ed", "▁rend ered", "▁rende red", "▁hyp oth", "œ uv", "▁me er", "▁par sing", "▁P RO", "▁PR O", "▁ PRO", "se ries", "ser ies", "serie s", "s eries", "▁z á", "▁ zá", "stra ße", "▁B oot", "▁Bo ot", "▁ Boot", "▁re po", "▁rep o", "▁ repo", "wo r", "w or", "▁St ream", "▁Stre am", "▁ Stream", "▁A N", "▁ AN", "▁п ів", "▁пі в", "▁S M", "▁ SM", "▁A rn", "▁Ar n", "▁ Ž", "▁[ ];", "▁[] ;", "Res ources", "Resource s", "▁el abor", "▁ela bor", "▁E th", "▁Et h", "▁l iste", "▁li ste", "▁list e", "▁rel atively", "▁relative ly", "▁relativ ely", "ch ant", "chan t", "cha nt", "=\" \"", "= \"\"", "▁l ift", "▁li ft", "▁lif t", "C N", "Service s", "Serv ices", "ME NT", "M ENT", "▁и гра", "▁иг ра", "▁ игра", "б ре", "▁J ord", "▁Jo rd", "▁t ec", "▁te c", "ш ка", "▁S up", "▁Su p", "▁infl uen", "▁influ en", "on ds", "ond s", "hand ler", "handle r", "▁b anda", "▁band a", "▁ban da", "▁vert ices", "▁z ap", "▁za p", "▁c ord", "▁cor d", "▁co rd", "▁ cord", "al ter", "alt er", "ze nia", "zen ia", "z enia", "ât eau", "âte au", "▁know ing", "▁Argent ina", "Ar ea", "Are a", "A rea", "ан е", "а не", "f c", "=\" /", "= \"/", "▁M ik", "▁Mi k", "at ă", "ie ux", "ieu x", "▁deutsch en", "▁deutsche n", "▁trad itional", "▁tradition al", "de code", "dec ode", "ve x", "v ex", "▁size of", "▁ sizeof", "▁F un", "▁Fu n", "▁ Fun", "▁par ser", "▁parse r", "▁ parser", "▁Flor ida", "▁build ings", "▁building s", "▁Man uel", "ri le", "ril e", "r ile", "▁log ged", "▁strong ly", "▁re vol", "▁rev ol", "не е", "xi co", "xic o", "x ico", "▁F air", "▁Fa ir", "ca rt", "car t", "c art", "▁W ort", "▁Wo rt", "▁Wor t", "▁Jes us", "em es", "eme s", "e mes", "sch rift", "Input Stream", "wa d", "w ad", "▁gran des", "▁grand es", "▁grande s", "▁númer o", "▁O tto", "▁Ot to", "▁Ott o", "ien tes", "ient es", "iente s", "i entes", "▁fam ous", "ol ogne", "olog ne", "J e", "ни ш", "▁Guer ra", "bar a", "ba ra", "b ara", "▁c ad", "▁ca d", "el ve", "br ace", "bra ce", "b race", "▁J r", "st able", "sta ble", "stab le", "s table", "EC T", "E CT", "lem ma", "med iate", "medi ate", "media te", "▁v in", "▁vi n", "▁ vin", "▁mon ument", "▁c v", "▁ cv", "▁w inter", "▁win ter", "▁trans formation", "▁transform ation", "▁N ick", "▁Nic k", "▁Ni ck", "str onom", "▁f rag", "▁fr ag", "▁fra g", "▁in tel", "▁int el", "▁inte l", "ra ction", "rac tion", "ract ion", "r action", "▁consider ing", "▁consid ering", "▁F le", "▁Fl e", "▁ ло", "▁A près", "▁Ap rès", "▁A M", "▁ AM", "▁H um", "▁Hu m", "▁m undo", "NE R", "N ER", "▁Be low", "▁Bel ow", "▁го рода", "▁горо да", "▁город а", "ar ters", "art ers", "arter s", "arte rs", "-- \"", "▁П е", "▁ Пе", "î t", "▁t xt", "▁tx t", "▁ txt", "an gers", "ang ers", "ange rs", "anger s", "▁t hy", "▁th y", "▁ thy", "CL A", "C LA", "ib les", "ible s", "i bles", "▁request ed", "▁requ ested", "▁Alex and", "▁fact ors", "▁fa ctors", "▁factor s", "▁produ ces", "▁produce s", "ning en", "n ingen", "▁со стоя", "▁optim ization", "ch od", "cho d", "c hod", "> `", "▁Wik ip", "nost i", "nos ti", "n osti", "▁compet ition", "▁H ann", "▁Ha nn", "▁Han n", "▁z ona", "▁zo na", "d c", "de sign", "des ign", "▁Z u", "▁e spec", "▁es pec", "▁espe c", "▁esp ec", "equ ality", "equal ity", "e quality", "▁A bb", "▁Ab b", "▁develop er", "▁ developer", "▁\" ^", "▁Sh ort", "▁Sho rt", "▁ Short", "▁pl ans", "▁pla ns", "▁plan s", "▁v it", "▁vi t", "iz able", "iza ble", "burg h", "bur gh", "ag em", "age m", "a gem", "▁Pr int", "▁Pri nt", "▁Prin t", "▁ Print", "í v", "▁su itable", "▁suit able", "pi cker", "pic ker", "pick er", "p icker", "Pro file", "an dy", "and y", "▁qu ot", "▁ quot", "▁Dur ante", "▁Durant e", "▁Fran cia", "▁Fr ancia", "▁Franc ia", "▁t art", "▁tar t", "▁ta rt", "▁V enez", "▁Ve nez", "▁Ven ez", "▁dis patch", "▁disp atch", "▁ dispatch", "▁observ ations", "▁observation s", "▁ ż", "In valid", "▁occ urr", "▁occur r", "▁oc curr", "т ки", "Mem ento", "M emento", "▁S yd", "▁Sy d", "▁tiem po", "▁st aff", "▁sta ff", "▁se ctions", "▁section s", "▁sect ions", "▁ sections", "▁s sh", "▁ss h", "▁ ssh", "▁N GC", "ë l", "▁er re", "▁err e", "▁div ided", "▁divide d", "▁divid ed", "▁With out", "▁du rant", "▁dur ant", "▁j aar", "▁ja ar", "▁ −", "▁sold iers", "▁soldier s", "ун к", "la pse", "lap se", "laps e", "▁Val ley", "▁Vall ey", "▁Valle y", "▁( :", "▁ (:", "re ra", "rer a", "r era", "▁d ével", "▁dé vel", "▁p éri", "▁pé ri", "▁calcul ation", "▁calc ulation", "▁ke ine", "▁kein e", "er tain", "ert ain", "erta in", "▁те ле", "ру д", "▁c ul", "▁cu l", "▁ cul", "▁cl oth", "▁clo th", "; }", "▁pr zed", "▁prze d", "▁prz ed", "Mon th", "Mo nth", "Mont h", "Pi cker", "P icker", "▁S V", "▁ SV", "ar ian", "ari an", "aria n", "a rian", "▁Re view", "▁Rev iew", "▁h ang", "▁ha ng", "▁han g", "▁ hang", "▁о кт", "▁ок т", "▁F ront", "▁Fr ont", "▁Fro nt", "▁ Front", "ot lin", "▁trans lation", "▁transl ation", "▁m odo", "▁mod o", "▁mo do", "▁stat istics", "▁statist ics", "▁N ue", "▁Nu e", "▁Ни кола", "NU M", "N UM", "▁s hips", "▁sh ips", "▁ship s", "▁ ships", "▁Re port", "▁Rep ort", "▁ Report", "{ [", "E ffect", "ie ri", "ier i", "i eri", "▁par ties", "▁part ies", "▁partie s", "▁parti es", "pl a", "p la", "r w", "▁Work s", "▁Wor ks", "▁i ron", "▁ir on", "▁att ract", "▁attr act", "▁attra ct", "▁c ort", "▁cor t", "▁co rt", "n á", "▁Ste ve", "▁b ene", "▁be ne", "▁ben e", "то н", "т он", "ícul a", "Tw o", "T wo", "▁г лав", "▁гла в", "▁V ideo", "▁ Video", "▁power ful", "au ch", "auc h", "a uch", "ma nde", "man de", "m ande", "äch st", "ächs t", "La t", "L at", "▁z na", "▁zn a", "▁ zna", "▁fig ures", "▁figure s", "▁figur es", "▁a lias", "▁al ias", "▁ali as", "▁ alias", "ne x", "n ex", "▁c ategories", "▁categ ories", "▁categor ies", "▁categorie s", "▁ categories", "cal led", "call ed", "c alled", "▁Sim ilar", "▁g irls", "▁girl s", "▁gir ls", "pe z", "p ez", "▁j oint", "▁jo int", "▁join t", "▁ joint", "ро го", "р ого", "ik en", "ike n", "i ken", "чи на", "чин а", "an cia", "anc ia", "anci a", "▁t ijd", "▁ti jd", "▁R ose", "▁Ro se", "▁Ros e", "▁alg orithms", "▁algorithm s", "▁print ing", "▁prin ting", "ne a", "n ea", "▁exec uting", "▁execut ing", "▁l ambda", "▁ lambda", "▁reg ional", "▁region al", "▁Co pa", "▁Cop a", "F oo", "ph ys", "phy s", "z m", "▁L aur", "▁La ur", "▁Lau r", "▁candid ate", "▁J a", "zy m", "z ym", "Ex ample", "▁s piel", "▁sp iel", "▁ spiel", "▁д ей", "▁де й", "▁ дей", "ne hmen", "neh men", "nehm en", "ke iten", "keit en", "▁с ент", "int ent", "inte nt", ". (", "▁пер вы", "pr om", "pro m", "p rom", "▁n at", "▁na t", "▁ nat", "▁im agine", "▁imag ine", "call back", "com ponents", "component s", "with out", "▁a quest", "▁aqu est", "Su pport", "Supp ort", "▁respons ible", "▁j ego", "▁je go", "l j", "wi ll", "w ill", "le an", "lea n", "el and", "ela nd", "e land", "olog ía", "m c", "Pro xy", "▁o cup", "▁oc up", "▁на ходи", "▁r ub", "▁ru b", "ні в", "н ів", "▁F all", "▁Fa ll", "▁Fal l", "am os", "amo s", "a mos", "▁E p", "en tre", "ent re", "entr e", "fa il", "f ail", "W orld", "▁Ed itor", "▁Edit or", "▁ Editor", "▁ex pos", "▁exp os", "▁f inds", "▁find s", "▁fin ds", "▁C ulture", "▁Cult ure", "▁ Culture", "LE ASE", "▁m ovie", "▁mov ie", "▁mo vie", "▁ movie", "< =", "omet ric", "o metric", "el ing", "eli ng", "elin g", "e ling", "numer able", "ou rd", "our d", "o urd", "▁S ea", "▁Se a", "▁b ild", "▁bi ld", "▁bil d", "▁ bild", "▁о ста", "▁ос та", "▁ост а", "bl o", "b lo", "▁l ose", "▁lo se", "▁los e", "▁ lose", "at eurs", "ate urs", "ateur s", "ou red", "our ed", "oure d", "o ured", "▁B att", "▁Ba tt", "▁Bat t", "() ;\r", "(); \r", "( );\r", "▁p oz", "▁po z", "pos ts", "post s", "pe nd", "pen d", "p end", "cer tain", "cert ain", "c ertain", "ни ком", "ник ом", "J ust", "web kit", "dem ás", "~~ ~~", "▁indic ates", "▁indicate s", "▁p ark", "▁par k", "▁ park", "ri que", "r ique", "vo d", "v od", "▁Ch amp", "▁Cham p", "▁Cha mp", "ft ware", "OP T", "O PT", "dj ango", "d jango", "re lease", "▁ È", "S R", "▁polit ician", "▁r oi", "▁ro i", "at uren", "atur en", "ature n", "atu ren", "▁Deutsch e", "ta gon", "tag on", "t agon", "▁M ov", "▁Mo v", "ob ierno", "obi erno", "▁da ß", "ut her", "uth er", "u ther", "in di", "ind i", "▁Wik ipedia", "▁Wikip edia", "▁Wikiped ia", "▁a nos", "▁an os", "▁ano s", "▁ anos", "▁ob serve", "▁obser ve", "▁observ e", "▁obs erve", "el ly", "ell y", "▁rail way", "at on", "ato n", "a ton", "▁e num", "▁en um", "▁ enum", "hu s", "h us", "▁in hab", "P si", "oir e", "oi re", "o ire", "▁Х о", "▁S pace", "▁Sp ace", "▁ Space", "▁Ар хи", "▁an terior", "▁ante rior", "▁ Ł", "is ons", "ison s", "iso ns", "I l", "▁am éric", "la ps", "lap s", "l aps", "▁B BC", "▁BB C", "QUE ST", "Con stra", "Const ra", "Cons tra", "mon t", "mo nt", "m ont", "ä ft", "▁ä ven", "ub ern", "ube rn", "uber n", "u bern", "< !--", "▁c oding", "▁co ding", "▁cod ing", "the ory", "at hed", "ath ed", "▁Ar be", "▁ш и", "▁ ши", "for Each", "om orphism", "omorph ism", "det ails", "detail s", "ach sen", "in tegr", "int egr", "inte gr", "V or", "Un known", "ace ae", "a ceae", "in ue", "inu e", "es ome", "eso me", "e some", "▁F ir", "ch ain", "cha in", "▁extrem ely", "▁extreme ly", "mult icol", "multi col", "▁Sw ift", "▁address es", "▁addr esses", "hs pace", "h space", "▁Ro ger", "▁Rog er", "▁d essen", "▁des sen", "▁dess en", "▁con sequ", "▁cons equ", "▁conse qu", "ual mente", "▁Pre mier", "▁Prem ier", "▁Re cord", "▁Rec ord", "▁ Record", "▁B ron", "▁Br on", "▁Bro n", "ki r", "k ir", "se x", "s ex", "in tern", "int ern", "inter n", "inte rn", "▁benef it", "▁bene fit", "um en", "ume n", "u men", "▁be coming", "▁bec oming", "▁becom ing", "▁l ig", "▁li g", "▁ lig", "▁pop ula", "▁popul a", "os c", "o sc", "▁c iv", "▁ci v", "▁great est", "▁pro ces", "▁proc es", "] *", "▁ме сто", "▁мест о", "▁' $", "▁ '$", "he ll", "hel l", "h ell", "(\" \\", "( \"\\", "▁n ine", "▁ni ne", "▁nin e", "▁F ac", "▁Fa c", "ul pt", "ulp t", "jo urs", "jou rs", "j ours", "▁C opy", "▁Co py", "▁Cop y", "▁ Copy", "▁activ ities", "▁Dem ocr", "▁Demo cr", "E s", "Su ccess", "▁E sta", "▁Est a", "▁Es ta", "it ul", "itu l", "is ti", "ist i", "▁B ed", "▁Be d", "ja s", "j as", "▁т ем", "▁те м", "▁ тем", "▁H ung", "▁Hu ng", "▁Hun g", "G ame", "▁he av", "onn ées", "▁branch es", "▁bran ches", "bo rg", "bor g", "b org", "▁v l", "▁ vl", "▁slow ly", "F a", "Go ogle", "em i", "e mi", "▁circumst ances", "▁' %", "▁U nd", "▁Un d", "▁ Und", "▁Vict oria", "▁Victor ia", "▁T yp", "▁Ty p", "▁ Typ", "rupt ed", "rup ted", "▁rel ativ", "▁s lo", "▁sl o", "▁p adre", "▁pad re", "▁d aily", "▁da ily", "▁dai ly", "▁or th", "▁ort h", "▁ orth", "чни й", "ч ний", "▁fran zös", "▁t eil", "▁te il", "▁ teil", "▁Se curity", "▁Sec urity", "▁ Security", "or don", "ord on", "ordo n", "▁s weet", "▁swe et", "SI ZE", "▁C el", "▁Ce l", "èt res", "è tres", "om mes", "omm es", "▁с і", "▁ сі", "▁effort s", "ą z", "▁oh ne", "▁South ern", "▁Sou thern", "▁approxim ately", "▁approximate ly", "це н", "ц ен", "(' #", "▁s aving", "▁sa ving", "▁sav ing", "nb sp", "▁trans late", "▁transl ate", "▁ translate", "▁Î n", "mem ber", "m ember", "▁l aws", "▁la ws", "▁law s", "▁ж ен", "▁же н", "▁ жен", "▁си сте", "t c", "> \\", "el te", "elt e", "▁e hem", "▁con trad", "▁cont rad", "▁contr ad", "▁contra d", "▁ру с", "▁р ус", "▁ рус", "ь я", "▁M iddle", "▁ Middle", "qu ip", "qui p", "▁c hez", "▁ch ez", "▁che z", "▁ chez", "Field s", "▁per mit", "▁perm it", "ik el", "ike l", "i kel", "▁w ir", "▁t rial", "▁tr ial", "▁tri al", "▁ver schied", "▁versch ied", "▁ф ев", "▁фе в", "▁m ale", "▁ma le", "▁mal e", "▁ male", "▁я зы", "▁ny el", "ak ter", "akt er", "akte r", "a kter", "▁den omin", "cept or", "cep tor", "▁W at", "▁Wa t", "▁f ino", "▁fin o", "▁fi no", "▁XV III", "▁XVI II", "▁XVII I", "ry ption", "rypt ion", "de sc", "des c", "d esc", "ap a", "a pa", "ле на", "лен а", "л ена", "▁k ol", "▁ko l", "▁ kol", "▁ Є", "▁dep endent", "▁depend ent", "▁ dependent", "▁C ra", "▁Cr a", "▁st orm", "▁stor m", "▁sto rm", "▁Г ер", "▁Ге р", "▁p ipe", "▁pi pe", "▁pip e", "▁ pipe", "▁att ended", "▁attend ed", "▁v ita", "▁vi ta", "▁vit a", "uz ione", "u zione", "cz as", "cza s", "c zas", "on da", "ond a", "▁b old", "▁bo ld", "▁bol d", "▁ bold", "Column s", "ic ió", "ici ó", "i ció", "▁c zę", "▁cz ę", "▁из вест", "▁Cl oud", "▁Clo ud", "▁ Cloud", "▁w arm", "▁war m", "▁wa rm", "▁с ы", "▁ сы", "▁с те", "▁ст е", "▁ сте", "▁produ cer", "▁produce r", "▁Lud wig", "▁Nor thern", "▁North ern", "ł ą", "NS String", "▁H ad", "▁Ha d", "▁И ван", "▁E g", "▁I mp", "▁Im p", "▁ Imp", "ш і", "▁A uch", "▁Au ch", "то к", "т ок", "▁H it", "▁Hi t", "▁qu ien", "▁qui en", "▁de partment", "▁depart ment", "▁erh ielt", "▁u i", "▁ ui", "▁S pr", "▁Sp r", "се р", "с ер", "ou rt", "our t", "o urt", "▁Ste phen", "▁Step hen", "▁Steph en", "te am", "▁z ip", "▁ zip", "▁B ang", "▁Ba ng", "▁Ban g", "▁grow th", "▁j am", "▁ja m", "▁K ais", "▁Ka is", "b matrix", "▁As ia", "▁rég ion", "= /", "▁Pac ific", "▁author ity", "▁# [", "та ми", "там и", "▁every one", "▁att end", "▁atte nd", "▁ attend", "▁tim estamp", "▁ timestamp", "▁t ries", "▁tr ies", "▁tri es", "▁f f", "▁ ff", "ше й", "ш ей", "▁develop ing", "ol t", "o lt", "up s", "u ps", "▁moment o", "▁mom ento", "▁S ain", "▁Sa in", "Te rm", "T erm", "▁c elle", "▁ce lle", "▁cell e", "▁cel le", "G R", "Mo use", "M ouse", "▁челов ек", "▁челове к", "▁Col lection", "▁Coll ection", "▁Collect ion", "▁ Collection", "ât re", "â tre", "▁W rite", "▁Writ e", "▁ Write", "▁P om", "▁Po m", "[ -", "Ca m", "C am", "▁loc ations", "▁location s", "▁J son", "▁ Json", "el led", "ell ed", "elle d", "select or", "sel ector", "re peat", "ct ors", "ctor s", "ot te", "ott e", "o tte", "ви зи", "änd e", "än de", "ä nde", "▁ach ieved", "▁achieve d", "▁achiev ed", "▁main ly", "____ ____", "! )", "▁явля ется", "▁c ities", "▁ci ties", "▁cit ies", "sing le", "sin gle", "г ре", "▁P ak", "▁Pa k", "▁allow ing", "▁allo wing", "fer red", "▁а пре", "хо дя", "ход я", "▁brow sers", "▁browser s", "▁es crit", "▁esc rit", "▁escri t", "▁mount ain", "▁network s", "▁net works", "ki nd", "kin d", "k ind", "li ver", "live r", "liv er", "l iver", "▁cl osing", "▁clos ing", "▁clo sing", "▁sk ip", "▁ski p", "▁ skip", "ú t", "▁d uration", "▁dur ation", "▁ duration", "ét ait", "éta it", "é tait", "▁s cr", "▁sc r", "▁ scr", "B B", "ór ia", "ó ria", "▁K ultur", "▁Kult ur", "▁output s", "multi column", "multicol umn", "▁bel ongs", "▁belong s", "fe ature", "uc ky", "uck y", "▁j uli", "▁ju li", "▁jul i", "▁рай она", "▁райо на", "▁район а", "з во", "fact ory", "factor y", "f actory", "Fun c", "F unc", "▁ut ter", "▁ utter", "▁TO DO", "▁o bt", "▁ob t", "ateg ories", "ategor ies", "▁com bine", "▁comb ine", "▁combin e", "▁W all", "▁Wal l", "▁Wa ll", "▁under lying", "ar ono", "aron o", "aro no", "▁P rote", "▁Pro te", "▁Pr ote", "c ów", "st an", "sta n", "s tan", "▁G ew", "▁Ge w", "▁opt imal", "▁optim al", "▁Archiv link", "▁S cript", "▁ Script", "▁destroy ed", "х е", "▁Fire fox", "▁s ole", "▁so le", "▁sol e", "▁ sole", "La yer", "L ayer", "т ку", "▁st ores", "▁stor es", "▁store s", "▁sto res", "▁dis plays", "▁display s", "is hing", "ish ing", "ishi ng", "▁о ст", "▁ос т", "▁inst ant", "▁el ő", "▁habit antes", "▁Ein wo", "▁a li", "▁al i", "▁ ali", "▁ER ROR", "▁ERR OR", "▁ ERROR", "▁a head", "▁ah ead", "▁go als", "▁goal s", "▁m ár", "▁má r", "▁s ą", "▁m art", "▁ma rt", "▁mar t", "▁ mart", "мини стра", "F r", "▁V illa", "▁Vill a", "▁Vi lla", "▁Vil la", "▁M arc", "▁Mar c", "▁Ma rc", "ro py", "rop y", "r opy", "ag ram", "agr am", "a gram", "ha pe", "h ape", "ме й", "м ей", "▁A L", "▁ AL", "▁conne xes", "▁En tre", "▁Ent re", "St ep", "Ste p", "лі в", "л ів", "▁De ath", "▁r ise", "▁ris e", "▁ri se", "▁f os", "▁fo s", "▁l ev", "▁le v", "▁ lev", "ga be", "g abe", "▁b roke", "▁br oke", "▁bro ke", "product s", "▁m edi", "▁me di", "▁med i", "▁ medi", "▁dis pon", "▁disp on", "Pack age", "P ackage", "Image View", "▁N ag", "▁Na g", "uj ą", "u ją", "W ord", "▁k ole", "▁ko le", "▁kol e", "ße r", "ß er", ")` .", ") `.", "▁r ol", "▁ro l", "▁ rol", "▁ í", "те й", "т ей", "Pro gress", "be an", "▁s empre", "▁sem pre", "State ment", "Stat ement", "UP DATE", "▁mond iale", "▁w rapper", "▁wr apper", "▁wra pper", "▁wrap per", "▁ wrapper", "▁C hart", "▁Ch art", "▁Char t", "▁Cha rt", "▁ Chart", "▁on Click", "че ння", "чен ня", "LO G", "some thing", "som ething", "s omething", "▁IN SERT", "▁ INSERT", "ще ния", "ue t", "u et", "wer p", "we rp", "ro und", "rou nd", "r ound", "ic hen", "ich en", "iche n", "i chen", "▁X VI", "▁XV I", "з ни", "▁ave va", "▁St ore", "▁Sto re", "▁ Store", "▁x s", "▁ xs", "ra cht", "rac ht", "rach t", "r acht", "sc ar", "s car", "▁op era", "▁oper a", "▁ opera", "▁deg rees", "▁degree s", "▁cit iz", "äs ident", "▁class ical", "▁classic al", "▁Jer sey", "▁er sch", "▁ers ch", "▁ ersch", "▁treat ment", "▁насе ље", "н ня", "▁bo ost", "▁ boost", "am ount", "amo unt", "a mount", "▁со зда", "ér ieur", "érie ur", "éri eur", "▁t elling", "▁tell ing", "▁tel ling", "Ha s", "H as", "▁in iti", "▁init i", "▁П и", "ev al", "e val", "▁M atch", "▁Mat ch", "▁ Match", "▁cor re", "▁corr e", "Point er", "Po inter", "▁pass es", "▁passe s", "comp any", "▁а н", "▁ ан", "ach es", "ac hes", "ache s", "a ches", "▁sig lo", "не м", "н ем", "▁ex change", "▁ exchange", "ci to", "cit o", "c ito", "▁B ab", "▁Ba b", "Do c", "D oc", "ze ś", "▁на род", "▁ народ", "▁conf lict", "▁conflic t", "▁confl ict", "▁nov ember", "ea u", "e au", "ö v", "▁H ub", "▁Hu b", "▁ Hub", "▁p oco", "▁po co", "▁poc o", "en sa", "ens a", "sch ließ", "lass e", "las se", "l asse", "data s", "dat as", "▁с ти", "▁ст и", "▁ сти", "un ivers", "uni vers", "ek s", "e ks", "▁C ho", "▁Ch o", "▁ Cho", "▁c ô", "▁( .", "▁ (.", "ew nę", "▁Ch ief", "▁Chi ef", "▁ch ef", "▁che f", "▁у прав", "ul i", "u li", "▁' ''", "▁'' '", "▁ '''", "nap shot", "▁re lac", "▁rel ac", "▁rela c", "ég e", "é ge", "w t", "we nd", "wen d", "w end", "os ing", "osi ng", "o sing", "▁ha cer", "▁hace r", "▁ф ран", "au tres", "aut res", "autre s", "▁f ils", "▁fil s", "▁fi ls", "er ed", "ere d", "e red", "▁По силання", "▁th erm", "▁the rm", "▁ther m", "ер жа", "su ch", "s uch", "▁i hren", "▁ih ren", "▁ihr en", "▁ihre n", "▁en contr", "▁l ots", "▁lo ts", "▁lot s", "lo go", "log o", "l ogo", "▁W i", "/ (", "ш ње", "DA TA", "DAT A", "D ATA", "▁P layer", "▁Pl ayer", "▁Play er", "▁Pla yer", "▁ Player", "▁Leip zig", "▁rel atives", "▁relative s", "▁relativ es", "ре в", "р ев", "▁new sp", "▁news p", "? ,", "▁St utt", "▁Stu tt", "▁d ual", "▁du al", "▁compan ies", "▁z am", "▁za m", "put ation", "▁in equality", "▁t rem", "▁tr em", "▁tre m", "hi ps", "hip s", "h ips", "an ch", "anc h", "▁ Ż", "бур г", "▁cop ies", "da sh", "das h", "d ash", "во р", "в ор", "spiel er", "s pieler", "▁Re volution", "▁Revol ution", "es ty", "est y", "e sty", "▁j unto", "▁jun to", "▁junt o", "▁Ind eed", "ok al", "oka l", "o kal", "ctr ine", "▁F ord", "▁For d", "▁Fo rd", "▁C REATE", "▁ CREATE", "▁w alls", "▁wall s", "▁wal ls", "▁a ute", "▁au te", "▁aut e", "S U", "wh y", "w hy", "plement ation", "ro ut", "rou t", "r out", "Mat rix", "▁s ad", "▁sa d", "ан а", "а на", "▁P ic", "▁Pi c", ". “", "▁A C", "▁ AC", "▁F est", "▁Fe st", "▁des ktop", "▁ desktop", "▁P ay", "▁Pa y", "▁ Pay", "ome times", "omet imes", "▁T ak", "▁Ta k", "ра б", "▁S ever", "▁Se ver", "▁nor thern", "▁north ern", "an ter", "ant er", "ante r", "▁Mod ern", "▁Mo dern", "▁Mode rn", "wa l", "w al", "{ \r", "on line", "ö k", "▁brit ann", "$ _", "▁j ar", "▁ja r", "▁ jar", "T L", "xx xx", "xxx x", "x xxx", "mer ge", "▁N amen", "▁Name n", "▁Na men", "▁Nam en", "▁K EY", "▁ KEY", "▁re fers", "▁ref ers", "▁refer s", "▁h in", "▁hi n", "▁ hin", "▁Vol ks", "▁Volk s", "st eller", "stell er", "stelle r", "vi ation", "via tion", "v iation", "on io", "oni o", "o nio", "ight er", "igh ter", "Com pat", "Comp at", "▁C E", "▁ CE", "▁p ró", "▁pr ó", "▁encuent ra", "the orem", "▁pub li", "▁Develop ment", "н д", "▁r os", "▁ro s", "▁ ros", "▁s hr", "▁sh r", "se au", "s eau", "▁gener ating", "▁gene rating", "▁difficult y", "▁Ex press", "▁Exp ress", "▁ Express", "Al ignment", "de utsch", "▁Вла ди", "▁sugg ests", "▁suggest s", "▁Famil y", "▁Fam ily", "▁ Family", "bb i", "b bi", "]) .", "] ).", "st aw", "sta w", "▁pres idente", "▁president e", "▁presiden te", "▁st esso", "in x", "i nx", "set up", "▁con form", "▁conf orm", "▁f ro", "▁fr o", "=\\ \"", "= \\\"", "▁d å", "ic iones", "ici ones", "icio nes", "icion es", "i ciones", "▁e volution", "▁evol ution", "pr ote", "pro te", "p rote", "▁pr ints", "▁print s", "▁prin ts", "▁P ont", "▁Po nt", "▁Pon t", "▁conf usion", "▁ Й", "▁d ello", "▁del lo", "▁dell o", "▁man if", "Def inition", "ár a", "á ra", "ma ls", "mal s", "m als", "▁s ale", "▁sa le", "▁sal e", "▁drop down", "▁ dropdown", "Ch ain", "Amer ican", "America n", "▁m k", "▁ mk", "▁B ez", "▁Be z", "▁F ue", "▁Fu e", "▁N E", "▁ NE", "гра фи", "граф и", "doc ker", "do cker", "d ocker", "▁^ {", "▁ ^{", "As sert", "Ass ert", "▁hor izontal", "▁horizon tal", "▁ horizontal", "(@ \"", "( @\"", "▁д ву", "pro xy", "U ri", "gen cy", "g ency", "▁\" [", "▁Q t", "▁ Qt", "▁N ames", "▁Name s", "▁Na mes", "▁Nam es", "▁ Names", "▁evalu ate", "▁eval uate", "! /", "▁ein ges", "▁eing es", "▁syn th", "▁sy nth", "▁You Tube", "▁turn ing", "▁tur ning", "▁E ric", "▁Er ic", "▁б ли", "▁ бли", "▁k lub", "▁kl ub", "pl orer", "▁s ports", "▁sport s", "▁s ia", "▁si a", "о ш", "▁d ai", "▁da i", "▁e urope", "▁europ e", "▁euro pe", "ic ians", "ici ans", "ician s", "icia ns", "ings områ", "▁d re", "▁dr e", "▁work around", "▁s uit", "▁su it", "▁ suit", "amb igu", "▁quant ity", "▁ quantity", "▁seg undo", "Sym bol", "S ymbol", "▁m oral", "▁mo ral", "▁mor al", "Ch art", "Char t", "C hart", "▁da mit", "▁dam it", "▁attempt s", "▁d onn", "▁do nn", "▁don n", "jo s", "j os", "▁e re", "▁er e", "▁ ere", "▁hom me", "▁ homme", "si mp", "sim p", "s imp", "rypt ed", "▁act s", "▁ac ts", "inner HTML", "▁tourn ament", "▁s ky", "▁sk y", "▁ sky", "Time r", "Tim er", "T imer", "▁mill ions", "▁million s", "^ +", "ag ent", "age nt", "agen t", "a gent", "') );", "')) ;", "' ));", "▁o st", "▁os t", "▁ ost", "▁g la", "▁gl a", "▁по мо", "▁f ün", "ст вом", "ств ом", "ство м", "ewnę trz", "▁Mé xico", "▁l ub", "▁lu b", "▁ lub", "▁É d", "if ik", "ifi k", "i fik", "че ский", "▁im mer", "▁imm er", "▁ immer", "en sen", "ens en", "ense n", "an ny", "ann y", "in line", "▁g over", "▁go ver", "au c", "a uc", "▁re pre", "▁rep re", "▁repr e", "▁histor ia", "▁hist oria", "A g", "▁p lt", "▁pl t", "▁Pr inci", "▁Prin ci", "im eter", "ime ter", "imet er", "i meter", "ő s", "š e", "▁U E", "▁ UE", "Equ als", "Equal s", "Eq uals", "Dis patch", "le gen", "leg en", "lege n", "l egen", "ла зи", "чно й", "ч ной", "▁st ell", "▁ste ll", "▁ stell", "ń st", "▁c ri", "▁cr i", "▁ cri", "▁In dep", "▁Ind ep", "è de", "}\\ )", "} \\)", "▁w yst", "▁wy st", "▁wys t", "▁fig ured", "▁figure d", "▁figur ed", "AT CH", "éb en", "é ben", "la cht", "lac ht", "lach t", "l acht", "▁succeed ed", "gr y", "g ry", "▁p ret", "▁pr et", "▁pre t", "▁ pret", "▁S af", "▁Sa f", "▁\" );", "▁\") ;", "▁ \");", "e h", "▁offic iel", "▁offici el", "краї н", "wi nd", "win d", "w ind", "▁sc atter", "▁F ox", "▁Fo x", "ic ious", "ici ous", "icio us", "i cious", "Man y", "Ma ny", "M any", "up er", "u per", "▁Con vert", "▁ Convert", "st erd", "ste rd", "ster d", "▁St ein", "▁Ste in", "▁О т", "}^ {(", "}^{ (", "} ^{(", "bet ween", "hi re", "h ire", "▁on Create", "▁ onCreate", "; ", "- ->", "▁p ří", "▁př í", "pan das", "p andas", "▁P lus", "▁Pl us", "▁ Plus", "yl l", "y ll", "▁t error", "▁te rror", "▁ter ror", "▁c rim", "▁cr im", "▁cri m", "▁z ak", "▁za k", "▁ zak", "iss ue", "pa nel", "pan el", "p anel", "sv g", "▁re b", "▁r eb", "▁ reb", "Custom er", "sw itch", "об ра", "о бра", "▁Champion ships", "▁Championship s", "▁Champions hips", "cl o", "c lo", "at te", "att e", "a tte", "▁any more", "▁excell ent", "▁opport unity", "▁opportun ity", "▁B ahn", "▁Ba hn", "▁Bah n", "чи н", "ч ин", "et ing", "eti ng", "e ting", "▁inc ident", "to m", "t om", "Per s", "Pe rs", "P ers", "bb en", "bbe n", "b ben", "ствен ной", "ственно й", "и х", "ro uter", "route r", "rout er", "rou ter", "r outer", "▁new ly", "▁sil ence", "▁G NU", "▁R ails", "▁Ra ils", "▁Rail s", "▁A mb", "▁Am b", "▁Q ual", "▁Qu al", "▁ Qual", "▁Sch aus", "▁Sc haus", "▁S ohn", "▁So hn", "▁A LL", "▁AL L", "▁ ALL", "▁ro yal", "▁roy al", "▁ £", "wi ę", "w ię", "▁ent fer", "▁Re move", "▁Rem ove", "▁ Remove", "▁hard ly", "Us ing", "U sing", "ло г", "▁I ch", "▁d erni", "▁der ni", "▁Con nection", "▁Connect ion", "▁ Connection", "fi sh", "f ish", "▁In form", "▁Inf orm", "▁Info rm", "▁E ner", "▁En er", "ro it", "r oit", "B bb", "View Model", "V ideo", "il ey", "ile y", "i ley", "▁м ного", "▁мно го", "▁G em", "▁Ge m", "▁comp reh", "▁compr eh", "en umerate", "ul as", "ula s", "u las", "▁B ah", "▁Ba h", "▁Y et", "▁Ye t", "B R", "х ра", "▁count y", "▁coun ty", "▁H ist", "▁His t", "▁Hi st", "▁Г у", "▁ Ј", "▁m ari", "▁ma ri", "▁mar i", "▁C lar", "▁Cl ar", "▁Cla r", "Bit map", "B itmap", "▁C z", "▁m ån", "▁må n", "▁m ere", "▁me re", "▁mer e", "▁mus ique", "al so", "als o", "date s", "da tes", "dat es", "d ates", "▁D VD", "▁g ol", "▁go l", "fo ny", "fon y", "f ony", "▁Cast le", "▁фа ми", "▁arr ang", "▁Bus iness", "▁K az", "▁Ka z", "▁o sc", "▁os c", "▁ osc", "▁se colo", "▁sec olo", "▁aff ected", "▁affect ed", "▁He alth", "re b", "r eb", "ed itor", "edit or", "edi tor", "▁own ed", "▁ow ned", "▁ owned", "t l", "▁v í", "▁ ví", "чни х", "ч них", "к ви", "▁dev ient", "▁devi ent", "M utable", "▁t egen", "▁te gen", "Reg ister", "є ю", "▁car acter", "лл и", "л ли", "▁n ouvelle", "▁nouve lle", "ok o", "o ko", "icht et", "ichte t", "▁e vol", "▁ev ol", "▁H ab", "▁Ha b", "▁mil itar", "▁milit ar", "▁p uts", "▁put s", "▁pu ts", "end if", "endi f", "▁Dav is", "▁Da vis", "▁Scot land", "reg ular", "▁Con text", "▁Cont ext", "▁ Context", "is piel", "isp iel", "i spiel", "▁G allery", "▁Gall ery", "\", \r", "\" ,\r", "▁a rc", "▁ar c", "▁ arc", "▁IN FO", "▁ INFO", "▁c od", "▁co d", "▁ cod", "ді в", "д ів", "▁v archar", "▁var char", "▁ varchar", "▁tou jours", "at ial", "ati al", "atia l", "▁h anno", "▁han no", "▁проф ес", "▁launch ed", "▁насе лення", "▁t on", "▁to n", "▁ ton", "au sed", "ause d", "aus ed", "a used", "▁і з", "▁t ö", "▁P ur", "▁Pu r", "▁o lymp", "AR N", "ó m", "▁a ugust", "▁aug ust", "▁f urn", "▁fur n", "▁fu rn", "▁Col omb", "▁Sta ats", "▁Staat s", "ho ra", "hor a", "h ora", "▁м ор", "▁мо р", "▁ мор", "can vas", "▁gr ave", "▁gra ve", "▁grav e", "▁com position", "▁comp osition", "▁compos ition", "ac ja", "▁которы е", "▁ч о", "▁ чо", "Gener al", "Gen eral", "ан і", "а ні", "▁Joh annes", "▁Johann es", "▁Johan nes", "ка р", "к ар", "▁ча ст", "▁час т", "▁Ва си", "ss h", "s sh", "▁repla cing", "▁< >", "▁ <>", "ці в", "ц ів", "la us", "lau s", "l aus", "en y", "e ny", "äh l", "ä hl", "▁m arg", "▁ma rg", "▁mar g", "ci ence", "c ience", "▁inst ruction", "▁instru ction", "▁instruct ion", "▁ко ји", "Ed itor", "Edit or", "▁fund amental", "mu nd", "mun d", "m und", "▁exception s", "▁except ions", "▁p late", "▁pl ate", "▁pla te", "▁plat e", "▁ plate", "▁L is", "▁Li s", "▁d eren", "▁de ren", "▁der en", "▁dere n", "pr ep", "pre p", "p rep", "▁janu ari", "Sc ope", "S cope", "yn ast", "yna st", "r v", "or sz", "ors z", "▁T ony", "▁To ny", "▁Ton y", "▁д і", "▁ ді", "▁о дна", "▁од на", "▁s ab", "▁sa b", "ot i", "o ti", "je l", "j el", "▁gener ator", "▁ generator", "▁' .", "▁ '.", "▁sh arp", "▁ sharp", "▁то лько", "▁account s", "▁ž e", "▁ že", "▁for am", "▁fo ram", "▁g ouvern", "TI ME", "T IME", "▁Sov iet", "▁G é", "▁ex ped", "▁exp ed", "▁ord inary", "▁ordin ary", "▁ ordinary", "▁Con 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"▁d ub", "▁du b", "un ächst", "find ViewById", "▁M and", "▁Man d", "▁Ma nd", "ál l", "á ll", "na ire", "n aire", "▁dest in", "is ting", "ist ing", "isti ng", "ag gi", "agg i", "a ggi", "ch art", "char t", "cha rt", "c hart", "▁just ice", "Sim ple", "▁un fortunately", "і р", "▁qu esta", "▁que sta", "▁quest a", "▁ questa", "▁Govern or", "я в", "▁mús ica", "▁equ ipo", "▁equip o", "▁D est", "▁De st", "▁Des t", "▁ Dest", "el ect", "ele ct", "e lect", "Stack Trace", "зо м", "з ом", "pr oc", "pro c", "p roc", "ent in", "enti n", "ad ora", "ado ra", "ador a", "▁Л ю", "▁register ed", "H L", "face book", "fac ebook", "▁st oring", "▁stor ing", "▁sto ring", "▁Current ly", "▁qu adr", "▁quad r", "Stand ard", "tr im", "tri m", "t rim", "ear s", "ea rs", "e ars", "se nder", "sen der", "send er", "s ender", "▁V as", "▁Va s", "▁ed ific", "▁B ür", "▁Bü r", "▁C ountry", "▁Count ry", "▁Coun try", "▁ Country", "th a", "t ha", "; \"", "no r", "n or", "▁Do ctor", "▁Doc tor", "ru ment", "rum ent", "r ument", "Ge n", "G en", "▁B uen", "▁Bu en", "ra de", "rad e", "r ade", "▁k un", "n avigation", "Pa y", "P ay", "▁capt ured", "▁capture d", "▁st ruck", "▁str uck", "▁stru ck", "ven ir", "ém ent", "é ment", "▁T ree", "▁Tr ee", "▁Tre e", "▁ Tree", "▁x x", "▁ xx", "▁n arr", "▁na rr", "▁nar r", "ль ного", "льно го", "▁inst alling", "▁install ing", "▁instal ling", "▁associ ation", "▁insert ed", "▁inser ted", "er ner", "ern er", "erne r", "valid ate", "▁l ut", "▁lu t", "▁g lo", "▁gl o", "▁techn ology", "▁P lace", "▁Pl ace", "▁Pla ce", "▁ Place", "$ ?", "▁z v", "с лі", "E P", "▁at mos", "ug o", "u go", "ér t", "é rt", "▁W erk", "▁Wer k", "▁% }", "te le", "tel e", "t ele", "Sp an", "S pan", "▁R aj", "▁Ra j", "▁Person en", "▁Pers onen", "▁C ant", "▁Can t", "▁Ca nt", "▁com bat", "▁comb at", "▁observ ation", "▁obs ervation", "param eter", "para meter", "▁agre ed", "▁agree d", "▁agr eed", "pu r", "p ur", "▁sh adow", "▁ shadow", "▁g ł", "Key s", "Ke ys", "Cre d", "Cr ed", "C red", "ou ri", "our i", "o uri", "▁p ale", "▁pa le", "▁pal e", "ic ké", "ick é", "▁We ek", "▁ Week", "▁Pr ime", "▁Pri me", "▁Prim e", "> .", "Init ial", "▁о дин", "▁од ин", "▁' ',", "▁'' ,", "▁у чи", "▁In v", "▁ Inv", "col a", "co la", "c ola", "ci ble", "c ible", "▁The atre", "▁b em", "▁be m", "▁satisf y", "x l", "▁ра зви", "▁раз ви", "▁p ixel", "▁pix el", "lá n", "l án", "▁tw ee", "▁twe e", "ço n", "ç on", "не ния", "▁A T", "▁ AT", "èg e", "è ge", "▁M ort", "▁Mor t", "▁Mo rt", "▁my sq", "▁ mysq", "ft en", "fte n", "f ten", "▁п ес", "▁пе с", "ém a", "é ma", "▁Service s", "▁Serv ices", "▁ Services", "custom er", "▁A WS", "ъ т", "▁A ch", "▁Ac h", "% .", "▁clar ify", "▁уни версите", "xt ure", "um i", "u mi", "▁s å", "▁P el", "▁Pe l", "se rial", "ser ial", "UR I", "U RI", "▁r g", "▁ rg", "▁со ста", "ch estra", "che stra", "ches tra", "]. 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"▁Blo ck", "▁ Block", "▁ident ified", "List View", "▁attempt ing", "▁typ ical", "ps um", "p sum", "os ter", "ost er", "o ster", "▁ж урна", "P e", "mer ce", "▁un expected", "hu i", "h ui", "let ter", "lett er", "lette r", "l etter", "▁nue vo", "▁а бо", "▁VAL UES", "▁I z", "Fl ags", "Flag s", "▁TR UE", "▁ TRUE", "iz ación", "iza ción", "▁gro wing", "▁grow ing", "es tre", "est re", "estr e", "e stre", "▁p oly", "▁po ly", "▁pol y", "▁ poly", "▁St one", "▁Sto ne", "▁V III", "▁VI II", "▁VII I", "▁local host", "▁ localhost", "äh lt", "ähl t", "▁embed ded", "jd bc", "j dbc", "▁con vention", "▁conv ention", "▁conven tion", "▁convent ion", "▁s cala", "▁sc ala", "▁scal a", "▁ scala", "со к", "с ок", "▁an alog", "▁anal og", "▁\" +", "▁ \"+", "ц ю", "oc c", "o cc", "▁l itt", "▁li tt", "▁lit t", "P N", "▁а ктив", "▁ак тив", "att ributes", "attribute s", "▁F erd", "▁Fe rd", "▁Fer d", "▁az ure", "▁ azure", "ș ti", "ño s", "ñ os", "pi ng", "pin g", "p ing", "▁te acher", "▁teach er", "▁tea cher", "} &", "ip e", "i pe", "▁N ob", "▁No b", "▁и ма", "▁им а", "Bi nd", "B ind", "▁mag ic", "▁Trans port", "▁ Transport", "ix el", "▁comp uted", "▁comput ed", "▁compute d", "ag na", "agn a", "er st", "ers t", "H A", "W ait", "▁author s", "▁auth ors", "▁; )", "cl am", "cla m", "c lam", "▁Pen nsylvan", "▁d rug", "▁dr ug", "▁dru g", "▁v ain", "▁va in", "▁employ ed", "▁individ uals", "▁individual s", "▁an ge", "▁ang e", "▁ ange", "ut at", "uta t", "u tat", "▁$ -", "▁ $-", "cor rect", "corr ect", "▁exper iments", "▁experiment s", "Arg ument", "▁I B", "▁ IB", "▁p ère", "▁B rian", "▁Br ian", "ber ger", "berg er", "Ma c", "M ac", "ia st", "ias t", "i ast", "Per m", "Pe rm", "P erm", "Ca st", "C ast", "▁{ };", "▁{} ;", "▁St udent", "▁Stud ent", "▁Stu dent", "▁ Student", "▁st att", "▁stat t", "▁sta tt", "al gebra", "▁equ als", "▁equal s", "▁eq uals", "▁ equals", "▁pro jet", "▁prés ident", "Activity Thread", "▁ein z", "en ia", "eni a", "e nia", "re z", "r ez", "ess ional", "ession al", "▁авгу ста", "over 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со", "- )", "os es", "ose s", "cal cul", "calc ul", "▁C annot", "▁Can not", "▁ Cannot", "Gener ic", "em o", "e mo", "▁A utor", "▁Aut or", "▁Au tor", "▁Auto r", "лё н", "л ён", "ла га", "vo te", "v ote", "lic ates", "licate s", "lica tes", "ru s", "r us", "él i", "é li", "op f", "o pf", "at ique", "ati que", "sc ala", "scal a", "s cala", "▁Oh io", "▁Brit ann", "▁b ef", "▁be f", "▁Е вро", "▁Ев ро", "▁Care er", "is ée", "isé e", "ó t", "bo se", "bos e", "b ose", "▁Б ер", "▁Бе р", "▁Cont roller", "▁Control ler", "▁ Controller", "po le", "pol e", "p ole", "▁al len", "▁all en", "▁alle n", "▁ allen", "▁h ack", "▁ha ck", "▁ext ent", "▁cal ci", "▁calc i", "Me r", "M er", "▁sum mary", "▁summar y", "▁summ ary", "▁ summary", "Mar t", "Ma rt", "M art", "▁histor ical", "▁historic al", "im at", "ima t", "i mat", "bu d", "b ud", "▁F OR", "▁FO R", "▁ FOR", "ex port", "exp ort", "ed i", "e di", "Map ping", "Mapp ing", "Ma pping", "M apping", "▁A y", "▁R uby", "▁Ru by", "▁Rub y", "▁definition s", "▁defin 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vy", "▁To ast", "al las", "all as", "alla s", "▁p úblic", "▁ass umes", "▁assum es", "▁assume s", "▁чемпи она", "yc ler", "ycle r", "y cler", "▁Juni or", "▁Jun ior", "▁F ich", "▁estim ated", "▁estimate d", "ze rw", "zer w", "di alog", "dia log", "d ialog", "ши н", "ш ин", "sh ell", "she ll", "s hell", "▁н их", "▁ни х", "▁ них", "▁p itch", "▁pit ch", "до л", "out ube", "▁S anti", "▁San ti", "▁Sant i", "On ClickListener", "▁M agyar", "▁Mag yar", "▁v ue", "▁vu e", "▁ vue", "i ão", "▁` #", "col lect", "coll ect", "▁R ou", "▁Ro u", "anal ysis", "istrz ost", "▁Dig ital", "▁ Digital", "▁c rist", "▁cr ist", "▁cri st", "ri ere", "rie re", "rier e", "r iere", "▁cam po", "▁camp o", "U s", "▁circ a", "▁cir ca", "▁Com ponent", "▁ Component", "▁NS String", "▁ NSString", "p d", "▁pr ince", "▁prin ce", "▁in voke", "▁inv oke", "▁ invoke", "▁Mar ine", "▁Mari ne", "Al low", "All ow", "est ic", "esti c", "ри сти", "рис ти", "рист и", "bo ne", "bon e", "b one", "ту ры", "тур ы", "▁pass ion", "ác ió", "á ció", "▁o rn", "▁or n", "▁ orn", "ве д", "▁in vari", "▁inv ari", "▁н і", "▁ ні", "Re move", "Rem ove", "en cies", "enc ies", "enci es", "il ib", "ili b", "i lib", "▁Direct or", "▁Dire ctor", "▁Dir ector", "\" \"", "▁Con se", "▁Cons e", "google apis", "ó k", "▁У кра", "▁H aving", "▁Ha ving", "▁Hav ing", "Do main", "Dom ain", "ie rz", "ier z", "но логи", "н ологи", "Ch o", "C ho", "un defined", "und efined", "al loc", "all oc", "allo c", "▁p ied", "▁pi ed", "▁pie d", "▁f raction", "▁fr action", "▁fra ction", "bi a", "b ia", "▁п оло", "▁по ло", "▁пол о", "▁ поло", "ug no", "min ister", "▁princip ale", "▁principal e", "▁ref used", "▁refuse d", "brow ser", "b rowser", "* ,", "▁H ospital", "▁univers al", "▁Ern st", "wh o", "w ho", "▁G ard", "▁Gar d", "▁Ga rd", "' _", "con de", "co nde", "cond e", "c onde", "▁[ {", "▁ [{", "so b", "s ob", "▁C rit", "▁Cr it", "▁дека бря", "▁p unto", "▁pun to", "▁punt o", "▁einges etzt", "▁t ör", "▁tö r", "▁N i", "▁w orry", "▁wor ry", "▁leg end", "▁ legend", "▁бу ли", "▁k omm", "▁kom m", "▁ko mm", "ri jk", "rij k", "r ijk", "ef fect", "eff ect", "e ffect", "Or i", "O ri", "RE S", "R ES", "▁P eters", "▁Pe ters", "▁Peter s", "▁Pet ers", "▁B aron", "▁Bar on", "▁Ba ron", "▁G ot", "▁Go t", "▁hon est", "▁ho nest", "är e", "ä re", "ás z", "á sz", "▁no ble", "▁nob le", "▁con clusion", "▁conclus ion", "▁concl usion", "▁form atting", "▁format ting", "▁formatt ing", "▁o tto", "▁ot to", "▁ott o", "▁ otto", "▁de leg", "▁del eg", "м б", "pt op", "pto p", "p top", "▁s ends", "▁send s", "▁sen ds", "ur name", "urn ame", "▁f estival", "▁fest ival", "▁festiv al", ", ‎", "ру с", "р ус", "▁d och", "▁do ch", "▁doc h", "sub ject", "su bject", "▁care ful", "qu ent", "que nt", "q uent", "▁Lo ad", "▁ Load", "temper aturen", "▁r ue", "▁ru e", "Mem ory", "ț a", "ion a", "io na", "i ona", "▁dent ro", "▁beg ann", "▁began n", "▁A qu", "▁scient ific", "ka ń", "ло к", "л ок", "el de", "eld e", "▁Th ose", "qu ier", "qui er", "act ér", "▁Auf lage", ") '", "▁grad ient", "▁ gradient", "in teger", "inte ger", "▁Im port", "▁Imp ort", "▁ Import", "S K", "▁St atus", "▁Stat us", "▁ Status", "▁exp lo", "▁expl o", "A E", "Sh ell", "She ll", "S hell", "▁Pa ulo", "▁Paul o", ". »", "} '", "hav ior", "le i", "l ei", "ul f", "▁ge ometry", "▁geom etry", "▁geomet ry", "▁ geometry", "pr ev", "pre v", "p rev", "em pl", "emp l", "▁L é", "an son", "ans on", "▁A lice", "▁Al ice", "▁Ali ce", "pro totype", "proto type", "RE AD", "ic ular", "icul ar", "i cular", "▁б і", "▁ бі", "▁deutsch e", "▁Re present", "si tes", "site s", "s ites", "▁Me an", "▁d iss", "▁di ss", "▁dis s", "▁Z ur", "▁Zu r", "▁п рез", "▁пре з", "▁пр ез", "PA R", "P AR", "▁' #", "▁D ra", "▁Dr a", "▁ Dra", "со н", "с он", "▁ste ht", "mar kt", "mark t", "▁e ase", "▁eas e", "Draw ing", "Dra wing", "= %", "St op", "Sto p", "S top", "▁s erving", "▁ser ving", "▁serv ing", "▁servi ng", "▁tak że", "▁D NS", "▁liter al", "▁lit eral", "Di e", "D ie", "▁в ос", "▁во с", "▁sen ior", "ac ion", "aci on", "a cion", "▁u buntu", "▁ub untu", "▁ ubuntu", "▁Frank furt", "▁Sun day", "▁Sund ay", "á b", "▁jour ney", "▁journ ey", "is sa", "iss a", "ber ry", "▁s ep", "▁se p", "▁ sep", "▁i on", "▁io n", "▁ ion", "wer t", "we rt", "w ert", "or szág", "orsz ág", "ser ve", "serv e", "s erve", "▁Mil ano", "▁Milan o", "▁ве ка", "ра х", "▁ию ля", "▁man era", "▁st ations", "▁stat ions", "▁station s", "▁stati ons", "▁adopt ed", "▁any body", "VER SION", "F E", "do rf", "dor f", "d orf", ".. .,", "... ,", "▁обра зова", "▁образ ова", "Log ger", "фи циаль", "фици аль", "WR ITE", "▁h am", "▁ha m", "▁ ham", "▁F uture", "▁Fut ure", "▁ Future", "ot en", "ote n", "o ten", "▁A G", "▁ AG", "▁t rained", "▁tr ained", "▁tra ined", "▁train ed", "▁N ich", "▁Nic h", "▁Ni ch", "▁un iversity", "▁univers ity", "▁Olymp ics", "▁Olympic s", "▁d oit", "▁do it", "▁doi t", "▁cult ural", "▁cultura l", "Con f", "▁Con ference", "or no", "orn o", "▁M P", "▁ MP", "▁b ou", "▁bo u", "ci n", "c in", "Hi gh", "H igh", "ann te", "annt e", "▁display ing", "▁ch apter", "▁chap ter", "▁ chapter", "▁Fra uen", "▁Frau en", "▁real ized", "▁realiz ed", "▁realize d", "▁attempt ed", "▁pre ferred", "▁prefer red", "Da t", "D at", "▁tr ouve", "▁tro uve", "▁trou ve", "▁trouv e", "▁int ention", "▁intent ion", "▁inten tion", "▁Not ice", "tim estamp", "* (", "▁Ш а", "an as", "ana s", "a nas", "cl a", "c la", "is z", "i sz", "tb l", "t bl", "Ar r", "A rr", "▁in verse", "▁ter rible", "▁occup ied", "J AX", "< -", "▁Phil osoph", "▁Cor ps", "bu ilder", "build er", "▁beg ins", "▁begin s", "▁c ensus", "▁cens us", ". ’", "▁pro ven", "▁pr oven", "▁prov en", "▁prove n", "met ric", "▁incre ases", "▁increase s", "wi ch", "w ich", "▁A BC", "▁AB C", "▁ ABC", "project s", "▁T hor", "▁Th or", "▁conf idence", "▁u fficiale", "el m", "e lm", "▁g arden", "▁gar den", "▁gard en", "▁rob ust", "▁cos ì", "ie dz", "ied z", "▁Is lam", "▁Add ress", "▁ Address", "▁div ide", "▁divid e", "▁E u", "ca tal", "cat al", "c atal", "de tail", "det ail", "ep endant", "f g", "▁b ew", "▁be w", "▁ bew", "▁f is", "▁fi s", "▁B O", "▁ BO", "▁w sp", "▁ws p", "▁p ipeline", "▁pip eline", "▁pipe line", "h d", "▁S ession", "▁ Session", "lä nd", "l änd", "iv eau", "ive au", "es tr", "est r", "e str", "▁p article", "▁part icle", "▁partic le", "▁parti cle", "▁lar avel", "▁ laravel", "pi c", "p ic", "▁n au", "▁na u", "▁f ins", "▁fin s", "▁fi ns", "▁V il", "▁Vi l", "▁f us", "▁fu s", "▁qu asi", "oper ation", "opera tion", "▁al ler", "▁all er", "▁alle r", "▁ aller", "▁an aly", "▁anal y", "▁ analy", "▁О н", "▁M es", "▁Me s", "▁о пера", "▁оп ера", "▁hand led", "▁handle d", "▁de prec", "▁dep rec", "tt o", "t to", "▁E k", "▁st ran", "▁str an", "▁stra n", "▁ang lais", "ju re", "j ure", "▁Sil ver", "▁close ly", "▁clos ely", "en kins", "enk ins", "an os", "ano s", "a nos", "st ed", "ste d", "s ted", "▁сент ября", "br and", "bra nd", "b rand", "нь о", "▁prés ent", "▁pré sent", "ro k", "r ok", "mo unt", "m ount", "▁Anth ony", "▁Further more", "in ha", "▁ар хи", "▁раз ли", "▁окт ября", "▁p int", "▁pi nt", "▁pin t", "n ý", "pt s", "p ts", "▁ital ien", "▁ре ги", "ле з", "л ез", "ди на", "дин а", "ather ine", "In ternal", "Int ernal", "Inter nal", "Intern al", "Qu estion", "▁sett lement", "▁В се", "▁fol ders", "▁folder s", "д ри", "▁val or", "▁va lor", "▁M iller", "▁Mil ler", "▁Mill er", "▁As sert", "▁Ass ert", "▁ Assert", "▁pat ient", "▁N ieder", "▁Ni eder", "▁Nie der", "▁Nied er", "▁E P", "▁ EP", "▁A gr", "▁Ag r", "▁o nde", "▁on de", "▁ onde", "▁s cop", "▁sc op", "▁ scop", "se quence", "sequ ence", "▁P L", "▁ PL", "▁se ek", "▁see k", "java se", "jav ase", "▁V ector", "▁Ve ctor", "▁Vec tor", "▁ Vector", "▁n á", "▁ ná", "▁categor ía", "cl one", "clo ne", "N R", "av ailable", "▁B esch", "▁Be sch", "▁Bes ch", "▁e clipse", "▁ec lipse", "▁ eclipse", "wick lung", "dep loy", "en ie", "eni e", "e nie", "▁\" )", "▁ \")", "äs t", "ä st", "▁s ync", "▁syn c", "▁sy nc", "▁ sync", "CO DE", "▁Ч е", "▁flo ating", "▁float ing", "/ `", "▁ret ired", "▁retir ed", "de b", "d eb", "▁part icul", "▁partic ul", "▁parti cul", "▁coll ected", "▁collect ed", "▁colle cted", "▁down loaded", "▁download ed", "ni ce", "nic e", "n ice", "▁B uffer", "▁Buff er", "▁ Buffer", "▁Acc ount", "▁Ac count", "▁ Account", "▁m aggio", "▁mag gio", "▁ре да", "▁ред а", "▁s ales", "▁sa les", "▁sal es", "▁sale s", "▁statunit ense", "▁K i", "▁F err", "▁Fe rr", "▁Fer r", "Lo ck", "Loc k", "L ock", "▁Is abel", "▁Isa bel", "cl ar", "cla r", "c lar", "▁p ov", "▁po v", "at ra", "atr a", "a tra", "▁Fr au", "▁Fra u", "▁sort ing", "▁sor ting", "▁sorti ng", "▁phr ase", "▁апре ля", "▁дея тель", "▁And ré", "def inition", "defin ition", "writ ing", "wr iting", "ér é", "é ré", "щ у", "▁O rd", "▁Or d", "▁ Ord", "▁r um", "▁ru m", "▁ rum", "▁T urk", "▁Tur k", "▁I van", "th eless", "the less", "▁г и", "▁ ги", "▁s ake", "▁sa ke", "▁B ased", "▁Bas ed", "▁Ba sed", "▁Base d", "de ck", "dec k", "or us", "oru s", "o rus", "▁tut ti", "▁b lan", "▁bl an", "▁bla n", "▁П у", "De tail", "Det ail", "▁Н о", "▁S ky", "▁Sk y", "▁p rès", "▁pr ès", "▁ près", "мо й", "col n", "co ln", "че ской", "et i", "e ti", "▁ar row", "▁arr ow", "▁ arrow", "▁C ha", "▁Ch a", "ch mark", "œ ur", "fa b", "f ab", "ку ль", "Grid View", "▁Back ground", "▁ Background", "s n", "▁segu ito", "▁n ic", "▁ni c", "▁ nic", "co u", "c ou", "ті в", "т ів", "▁b zw", "add EventListener", "syn c", "s ync", "az zo", "azz o", "ab stract", "as sets", "ass ets", "asse ts", "asset s", "▁D ru", "▁Dr u", "з д", "ord net", "▁b igger", "▁big ger", "▁initial ized", "▁initialize d", "ка з", "og ene", "ogen e", "oge ne", "vi ously", "vious ly", "v iously", "▁g uid", "▁gu id", "scheid ung", "▁Z ent", "▁Ze nt", "▁fr ames", "▁frame s", "▁fra mes", "▁fram es", "▁ frames", "ri eben", "rie ben", "rieb en", "r ieben", "▁iss ued", "▁issue d", "▁issu ed", "▁d ow", "▁do w", "▁descri bes", "▁describe s", "il st", "ils t", "i lst", "▁c riteria", "▁crit eria", "▁criter ia", "▁gentle man", "Bas ic", "ne z", "n ez", "De v", "D ev", "Mo ve", "M ove", "▁est aba", "▁estab a", "▁esta ba", "▁set tembre", "▁sett embre", "circ le", "cir cle", "▁f ais", "▁fa is", "▁m yst", "▁my st", "▁arch iv", "▁ archiv", "d ynamic", "j à", "it as", "ita s", "▁я кий", "▁d or", "▁do r", "▁ dor", "▁Am azon", "▁Ama zon", "▁ne ces", "▁Mar cel", "▁Marc el", "▁e lla", "▁el la", "▁ell a", "▁ ella", "ро к", "р ок", "▁Pennsylvan ia", "cul ar", "cu lar", "c ular", "Pa ck", "P ack", "it age", "ita ge", "▁B urn", "▁Bu rn", "▁Bur n", "▁R O", "▁ RO", "▁о ни", "▁он и", "▁ они", "~ $", "Te X", "as sign", "ass ign", "▁be at", "id ense", "iden se", "ac ent", "ace nt", "a cent", "Al ert", "▁str ateg", "▁strat eg", "▁mån aden", "LO C", "L OC", "▁c atalog", "▁cat alog", "▁catal og", "▁ catalog", "print StackTrace", "() ).", "()) .", "( )).", "us ted", "ust ed", "u sted", "▁Frame work", "▁ Framework", "EC K", "E CK", "▁a té", "▁at é", "Frame work", "▁att acks", "▁attack s", "▁B ert", "▁Be rt", "▁Ber t", "▁т ран", "▁тра н", ": %", "ar si", "ars i", "not ation", "▁log ical", "▁logic al", "we et", "▁vis ited", "▁visit ed", "br u", "b ru", "▁sur prise", "▁surpr ise", "^ ^", "in ale", "inal e", "ina le", "rem ote", "'} ,", "' },", "Syn tax", "S yntax", "ia ne", "ian e", "i ane", "on nen", "onn en", "onne n", "▁bre aking", "▁break ing", "par ser", "parse r", "ap k", "a pk", "▁Mig uel", "▁ §", "▁act ing", "▁ac ting", "▁g ebru", "▁ge bru", "▁geb ru", "At Index", "ють ся", "ю ться", "▁of fers", "▁off ers", "▁offer s", "▁p rac", "▁pr ac", "▁pra c", "▁g rant", "▁gr ant", "▁gra nt", "▁gran t", "tern oon", "▁ac quired", "▁acqu ired", "▁N y", "▁com ma", "▁comm a", "ní k", "n ík", "▁St ep", "▁Ste p", "▁ Step", "in ners", "inn ers", "inner s", "▁S A", "▁ SA", "▁w at", "▁wa t", "da ys", "day s", "d ays", "▁rect angle", "da r", "d ar", "▁t rac", "▁tr ac", "▁tra c", "▁Ind ones", "▁feed back", "▁bre aks", "▁break s", "part ition", "ic ans", "ica ns", "ican s", "▁Not ices", "▁Notice s", "▁impro ved", "▁improve d", "▁improv ed", "▁impr oved", "ph an", "pha n", "p han", "▁differ ential", "▁different ial", "▁differenti al", "script s", "scri pts", "▁X III", "▁XII I", "▁XI II", "▁L abor", "▁La bor", "▁Lab or", "▁prec ision", "▁precis ion", "▁s eed", "▁se ed", "▁see d", "▁ seed", "bund le", "b undle", "id ents", "ident s", "iden ts", "hr e", "h re", "▁Doug las", "ul d", "u ld", "▁second ary", "▁seconda ry", "▁b rig", "▁br ig", "▁confirm ed", "▁confir med", "▁cla ims", "▁claim s", "Ro le", "R ole", "▁Jew ish", "▁p řed", "▁př ed", "▁ho tel", "▁hot el", "▁comp te", "▁compt e", "▁rec ursive", "▁recurs ive", "](# )", "▁rot ate", "▁ rotate", "▁ch rome", "▁chr ome", "▁chrom e", "▁ chrome", "in ea", "ine a", "i nea", "%; \r", "% ;\r", "▁En vironment", "▁ Environment", "pl atz", "pla tz", "▁Sing le", "▁Sin gle", "▁ Single", "▁s event", "▁se vent", "▁seven t", "▁pos ting", "▁post ing", "▁de aling", "▁deal ing", "param eters", "parameter s", "гра ф", "Auth entication", "to uch", "t ouch", "A z", "▁g ray", "▁gr ay", "▁gra y", "▁ gray", "en cing", "enc ing", "enci ng", "bold math", "▁сай те", "▁сайт е", "▁Z a", "an je", "▁p olar", "▁po lar", "▁pol ar", "▁у ли", "ki l", "k il", "▁h over", "▁ho ver", "▁ hover", "▁RE ST", "▁C ome", "▁Com e", "▁Co me", "▁ Come", "j b", "▁Georg ia", "▁Est ado", "▁Esta do", "▁Estad o", "Output Stream", "ћ и", "▁d ump", "▁du mp", "▁ dump", "▁A ge", "▁Ag e", "▁ Age", "▁s wo", "▁sw o", "m obile", "oc cup", "occ up", "ше го", "ш его", "▁const itution", "▁constitu tion", "▁constit ution", "go od", "g ood", "ak u", "a ku", "▁а нг", "▁ан г", "▁ анг", "ie ck", "iec k", "▁Ps ych", "▁ro ots", "▁root s", "▁v est", "▁ve st", "▁ves t", "▁ vest", "▁го дах", "▁года х", "▁Rep ública", "▁p ian", "▁pi an", "▁pia n", "igr ation", "▁pr éc", "▁pré c", "▁gener ates", "▁generate s", "L Y", "( `", "▁= ~", "ше ния", "▁R ah", "▁Ra h", "▁connect ing", "ž í", "▁f ő", "▁a ppel", "▁app el", "▁ap pel", "▁appe l", "▁Rail way", "г ли", "▁dével opp", "▁a po", "▁ap o", "fr an", "fra n", "f ran", "▁im mediate", "▁immedi ate", "во го", "в ого", "Run ner", "ä g", "Some thing", "S omething", "▁gén éra", "Event Args", "in ction", "inc tion", "inct ion", "gl y", "g ly", "▁D ue", "▁Du e", "▁p rost", "▁pro st", "▁pr ost", "▁pros t", "▁refer ring", "▁j og", "▁jo g", "▁exec utable", "▁execut able", "▁D ream", "▁Dre am", "ac s", "a cs", "▁C ole", "▁Col e", "▁Co le", "am pf", "amp f", "▁B is", "▁Bi s", "▁ию ня", "li eder", "lied er", "lie der", "l ieder", "те к", "т ек", "▁v b", "▁ vb", "▁m om", "▁mo m", "▁: (", "▁ :(", "▁der nier", "▁derni er", "' =>", "▁э того", "▁это го", "▁ne ue", "▁neu e", "▁Ч а", "▁weiter e", "▁weit ere", "▁al leg", "▁all eg", "▁alle g", "▁re ality", "▁real ity", "▁jud ge", "▁B alt", "▁Ba lt", "▁Bal t", "▁t hin", "▁th in", "▁G ed", "▁Ge d", "ie val", "iev al", "i eval", "m x", "ці ональ", "▁вы пу", "▁I X", "▁ IX", "▁bl ind", "▁Mo tor", "▁Mot or", "▁ш а", "▁ ша", "▁approxim ation", "da m", "d am", "▁f og", "▁fo g", "▁ fog", "ко р", "к ор", "▁W rit", "▁l ing", "▁li ng", "▁lin g", "▁ ling", "▁пи са", "▁ писа", "▁M ars", "▁Mar s", "▁Ma rs", "ot ti", "ott i", "En um", "E num", "▁T rib", "▁Tr ib", "▁Tri b", "▁m erc", "▁me rc", "▁mer c", "zu ng", "z ung", "van ced", "v anced", "cf g", "c fg", "на х", "sch en", "sc hen", "sche n", "s chen", "\"] .", "\" ].", "be k", "b ek", "▁s ter", "▁st er", "▁ste r", "▁ ster", "j p", "▁R ap", "▁Ra p", "▁rec ording", "▁record ing", "▁pe int", "▁l ets", "▁le ts", "▁let s", "▁ lets", "än ge", "äng e", ">\" ;", "> \";", "▁міс це", "▁c aval", "▁ca val", "▁cav al", "▁C SV", "▁CS V", "▁ent stand", "▁hel per", "▁help er", "▁ helper", "en det", "end et", "ende t", "▁G ram", "▁Gr am", "▁Gra m", "▁D iego", "▁Die go", "▁Di ego", "▁B ishop", "▁Bi shop", "TA G", "T AG", "▁e cc", "▁ec c", "▁E en", "▁A V", "▁ AV", "C ity", "▁Gu ide", "hi nd", "hin d", "h ind", "ri cal", "ric al", "rica l", "r ical", "▁Ос нов", "Bu s", "B us", "▁z unächst", "▁t ick", "▁ti ck", "▁ tick", "▁Col onel", "Th anks", "Thank s", "▁f erm", "▁fe rm", "▁fer m", "▁gr anted", "▁gran ted", "▁grant ed", "▁th reshold", "omorph ic", "▁H un", "▁Hu n", "en is", "eni s", "e nis", "▁п рав", "▁пра в", "▁ прав", "▁я кі", "▁як і", "P G", "▁w s", "▁ ws", "▁techn ical", "▁techni cal", "est ro", "estr o", "kl är", "k lär", "va rs", "var s", "v ars", "oc rat", "ocr at", "▁оп шти", "on so", "ons o", "ib a", "i ba", "▁S ave", "▁Sa ve", "▁Sav e", "▁ Save", "▁program a", "▁в ъ", "▁inv ån", ">( )", "> ()", "▁me jor", "▁с лова", "▁сло ва", "▁rep lacement", "▁replace ment", "▁repla cement", "▁im pr", "▁imp r", "▁Frances co", "▁Ho tel", "▁Hot el", "▁UP DATE", "▁ UPDATE", "▁му зы", "ug s", "u gs", "va rd", "var d", "v ard", "▁f az", "▁fa z", "in ton", "int on", "into n", "▁ar ts", "▁art s", "▁ arts", "▁K y", "▁I ls", "▁Il s", "▁s era", "▁se ra", "▁ser a", "▁Vol ume", "▁ Volume", "▁gi ugno", "▁a sym", "▁as ym", "▁P ir", "▁Pi r", "▁N AS", "▁NA S", "▁T am", "▁Ta m", "ě l", "Se qu", "Seq u", "S equ", "km al", "k mal", "▁E ins", "▁Ein s", "▁ком па", "▁комп а", "ob e", "o be", "oo r", "o or", "▁he ap", "ct l", "c tl", "▁separ ately", "▁separate ly", "re ader", "read er", "rea der", "▁signific antly", "▁significant ly", "▁L ag", "▁La g", "no tes", "not es", "note s", "n otes", "▁s ele", "▁se le", "▁sel e", "▁dedic ated", "▁H ost", "▁Ho st", "▁ Host", "cho ice", "wi ng", "win g", "w ing", "▁T itel", "▁Tit el", "▁Ti tel", "▁befind et", "lar ge", "larg e", "▁con ten", "▁cont en", "▁co nten", "▁conte n", "Java Script", "▁de ser", "▁des er", "▁G ordon", "▁Gor don", "с пе", "▁p atri", "▁pat ri", "▁pa tri", "▁patr i", "▁R andom", "▁Rand om", "▁Ran dom", "▁ Random", "▁Return s", "ы м", "ро ма", "ром а", "▁Stud ies", "S l", "▁fr ü", "TE XT", "T EXT", "in ate", "ina te", "▁T ol", "▁To l", "▁every where", "ar ta", "art a", "▁or bit", "▁orb it", "▁A ires", "▁Air es", "▁I ss", "▁Is s", "▁te ż", "▁d iverse", "▁di verse", "▁divers e", "▁diver se", "▁n umeric", "▁numer ic", "▁ numeric", "ma z", "m az", "▁m ise", "▁mi se", "▁mis e", "▁batt ery", "▁batter y", "▁bat tery", "▁A kadem", "▁Ak adem", "не ние", "▁simult ane", "▁D ead", "▁De ad", "▁cl ust", "▁ot ro", "▁c erca", "▁cer ca", "() `,", "()` ,", "( )`,", "ro z", "r oz", "ă t", "▁M O", "▁ MO", "ri ften", "rift en", "rif ten", "import ant", "▁je ho", "▁find ViewById", "▁ findViewById", "▁con sequence", "▁conse quence", "▁consequ ence", "▁measure d", "▁meas ured", "is hes", "ish es", "▁s ze", "▁sz e", "ien do", "i endo", "▁W ahl", "▁Wa hl", "st rip", "str ip", "AR D", "▁op acity", "▁ opacity", "WOR D", "W ORD", "▁В і", "▁L ocation", "▁Lo cation", "▁Loc ation", "▁ Location", "ra i", "r ai", "пе н", "п ен", "▁r if", "▁ri f", "▁ rif", "auss ian", "File Name", "▁dis co", "▁disc o", "il en", "ile n", "i len", "▁v agy", "▁va gy", "li city", "lic ity", "licit y", "l icity", "B order", "▁T rack", "▁Tr ack", "▁Tra ck", "▁ Track", "бо м", "б ом", "fa ct", "fac t", "f act", "ok a", "o ka", "▁g ior", "▁gi or", "▁ gior", "▁XV II", "▁XVI I", "▁d är", "Si te", "S ite", "ał o", "a ło", "sk á", "s ká", "▁pix els", "▁pixel s", "vi ty", "v ity", "j Query", "▁sc ulpt", "▁c argo", "▁car go", "▁direct ive", "▁w al", "▁wa l", "▁ wal", "▁c onna", "▁con na", "▁conn a", "▁Th rough", "▁э том", "▁это м", "St atic", "Stat ic", "oms nitt", "▁r und", "▁run d", "▁ru nd", "▁ rund", "▁c laimed", "▁claim ed", "з ня", "sh a", "s ha", "▁r ag", "▁ra g", "▁ rag", "cre ment", "cr ement", "▁fün f", "▁r ival", "▁riv al", "▁ri val", "▁ rival", "ri n", "r in", "sl ash", "▁th irty", "s leep", "оло ги", "о логи", "S M", "ga te", "gat e", "g ate", "iz ations", "ization s", "vi k", "v ik", "▁b less", "▁bl ess", "▁ble ss", "▁Ill inois", "▁T E", "▁ TE", "ut ing", "uti ng", "u ting", "▁sol ving", "GE R", "G ER", "▁X IV", "▁XI V", "▁Ind ians", "▁India ns", "▁Indian s", "ex press", "exp ress", "expr ess", "▁H eil", "▁He il", "▁mu jer", "▁invån are", "'] );", "']) ;", "' ]);", "▁a ur", "▁au r", "▁ aur", "bo ost", "G O", "▁n in", "▁ni n", "to k", "t ok", "go d", "g od", "ot er", "ote r", "o ter", ")$ $", ") $$", "▁desc end", "р ю", "▁L anguage", "▁ Language", "▁d iver", "▁di ver", "▁div er", "▁Ass uming", "▁fre quent", "▁frequ ent", "ч ні", "▁Bi ography", ", [", "ur m", "u rm", "▁walk ed", "▁wal ked", "▁feder al", "▁fed eral", "▁Mich igan", "▁fact s", "▁fac ts", "▁In tegr", "▁Int egr", "▁ Integr", "LE S", "L ES", "▁A lan", "▁Al an", "▁c oup", "▁co up", "▁cou p", "Be r", "B er", "▁p articles", "▁part icles", "▁partic les", "▁particle s", "▁parti cles", "ћ е", "Infl ater", "+ (", "Bo und", "B ound", "▁S ü", "A udio", "cite t", "cit et", "c itet", "ye ct", "y ect", "▁n r", "▁ nr", "x e", "▁B run", "▁Br un", "▁Bru n", "▁_ ,", "▁ _,", "av or", "avo r", "a vor", "▁dis cipl", "al m", "a lm", "▁но ября", "▁S SL", "▁SS L", "▁ SSL", "▁Ka iser", "▁Kais er", "▁re cher", "▁rec her", "yg on", "y gon", "▁regard less", "▁config ur", "▁un necess", "▁Cl ark", "▁Clar k", "PH P", "P HP", "▁F ALSE", "▁ FALSE", "▁p ad", "▁pa d", "▁ pad", "$ }", "▁v alu", "▁val u", "▁va lu", "▁ valu", "▁dise ase", "▁ma ior", "▁mai or", "▁h ommes", "▁hom mes", "▁homme s", "▁Ed ition", "▁Edit ion", "sl ant", "s lant", "▁en ding", "▁end ing", "▁ ending", "▁sett led", "ur us", "uru s", "u rus", "he d", "h ed", "Pat tern", "▁го дина", "▁годи на", "▁Phil adel", "tikz picture", "▁co al", "▁s ede", "▁se de", "▁sed e", "▁satisf ies", "▁t rim", "▁tr im", "▁tri m", "▁ trim", "▁b at", "▁ba t", "▁ bat", "▁améric ain", "▁lug lio", "▁по ча", "▁поч а", "ff ff", "fff f", "f fff", "▁T arget", "▁Tar get", "▁ Target", "gener ate", "▁Z ie", "ți a", "ț ia", "▁g ard", "▁gar d", "▁ga rd", "▁work ers", "▁worker s", "▁J ob", "▁Jo b", "▁ Job", "▁ur ban", "▁urb an", "▁ urban", "ah len", "ahl en", "a hlen", "▁Build ing", "▁n eu", "▁ne u", "▁ch ron", "▁chr on", "▁ chron", "▁Ear l", "gr o", "g ro", "US E", "U SE", "▁X II", "▁XI I", "▁we alth", "▁ wealth", "in ae", "ina e", "▁Б ра", "▁li bert", "▁lib ert", "▁liber t", "ir os", "iro s", "i ros", ": $", "le e", "l ee", "ie ves", "ieve s", "iev es", "▁Just ice", "▁o il", "▁Ath let", "▁c lo", "▁cl o", "▁ clo", "Sc ale", "Scal e", "▁l ips", "▁li ps", "▁lip s", "▁a pril", "▁ap ril", "▁apr il", "▁im pression", "▁imp ression", "▁impr ession", "▁impress ion", "▁per ce", "▁уча сти", "▁участ и", "vi l", "v il", "éc h", "é ch", "▁e quality", "▁equ ality", "▁equal ity", "▁ equality", "▁м ет", "▁ме т", "▁ мет", "▁an notation", "▁annot ation", "▁ annotation", "er nal", "ern al", "erna l", "▁M ach", "▁Ma ch", "▁Mac h", "▁int itul", "pro blem", "prob lem", "ющи х", "ю щих", "op lus", "o plus", "▁thous ands", "▁thousand s", "▁calcul ations", "▁calculation s", "▁calc ulations", "um ps", "ump s", "▁tri angle", "▁ triangle", "ph al", "pha l", "p hal", "▁D orf", "▁Do rf", "▁Dor f", "▁doll ars", "▁d enen", "▁de nen", "▁den en", "l ès", "ol id", "oli d", "▁Result s", "▁ Results", "▁Stad ium", "▁D esp", "▁De sp", "▁Des p", "▁E isen", "im ir", "imi r", "i mir", "▁s otto", "▁so tto", "▁sott o", "▁č i", "▁ či", "at able", "ata ble", "a table", "or um", "oru m", "o rum", "▁conver gence", "▁je une", "▁jeu ne", "ok ing", "oki ng", "o king", "▁жи во", "ain ing", "ai ning", "a ining", "po inter", "point er", "cul o", "cu lo", "c ulo", "▁js ou", "▁g rab", "▁gr ab", "▁gra b", "ak te", "akt e", "a kte", "▁ho ping", "▁hop ing", "▁M ak", "▁Ma k", "▁s ag", "▁sa g", "origin e", "orig ine", "▁по след", "▁после д", "▁V eg", "▁Ve g", "▁the oret", "▁T ru", "▁Tr u", "ne ment", "nem ent", "n ement", "▁f aces", "▁fa ces", "▁face s", "▁fac es", "▁ faces", "H or", "Jo in", "J oin", "ar el", "are l", "a rel", "▁о коло", "▁ок оло", "How ever", "▁c atal", "▁ca tal", "▁cat al", "▁ catal", "bo urg", "bour g", "b ourg", "▁mysql i", "▁mysq li", "▁ mysqli", "ac ions", "acion s", "aci ons", "▁Init ial", "▁ Initial", "▁r ain", "▁ra in", "▁ rain", "it ure", "itu re", "▁Sci ences", "▁Science s", "▁Kre is", "._ _", ". __", "▁cin q", "▁A uß", "▁Au ß", "ith met", "it ors", "ito rs", "itor s", "am azon", "ama zon", "▁g ap", "▁ga p", "▁ign ored", "▁ignore d", "▁ignor ed", "ad v", "ко ї", "▁ча сть", "▁час ть", "▁част ь", "▁cor por", "▁corpo r", "це р", "ц ер", "▁cr ime", "▁cri me", "▁crim e", "uo us", "u ous", "▁на лази", "Data Frame", "во ди", "вод и", "Ig n", "I gn", "▁Lin coln", "▁me nos", "▁men os", "▁Lu ft", "▁L ind", "▁Li nd", "▁Lin d", "▁C ook", "▁Co ok", "▁ Cook", "▁material s", "ap ped", "app ed", "appe d", "a pped", "ign ore", "▁от кры", "fr ied", "fri ed", "f ried", "▁gouvern ement", "▁f ired", "▁fire d", "▁fi red", "▁fir ed", "▁screen shot", "▁screens hot", "се н", "с ен", "▁[ (", "▁ [(", "▁органи за", "Graph ics", "▁про ти", "▁p hen", "▁ph en", "▁ phen", "cr aft", "cra ft", "c raft", "▁b rain", "▁br ain", "▁bra in", "▁C omo", "▁Com o", "▁Co mo", "▁Every thing", "an es", "ane s", "a nes", "IG N", "I GN", "▁n ederbörd", "▁ nederbörd", "▁For est", "▁Fore st", "▁Fo rest", "za hl", "z ahl", "▁Am ong", "Q t", "▁to gg", "▁tog g", "▁vari ant", "▁ variant", "▁h ill", "▁hi ll", "▁ hill", "пи си", "пис и", "col on", "co lon", "colo n", "▁dic embre", "го р", "г ор", "▁W ind", "▁Win d", "▁Wi nd", "ünst ler", "▁= \\", "▁ =\\", "sa ved", "save d", "s aved", "▁n ej", "▁ne j", "▁ nej", "un te", "unt e", "ut to", "utt o", "u tto", "▁rec ens", "▁rece ns", "▁s ick", "▁si ck", "▁sic k", "▁d esen", "▁de sen", "▁des en", "US T", "U ST", "▁wor st", "▁An gel", "▁Ang el", "od ox", "odo x", "▁Prov ince", "▁Provin ce", "▁M az", "▁Ma z", "▁agre ement", "▁agree ment", "▁B ass", "▁Bas s", "▁Ba ss", "▁seg unda", "on ces", "once s", "onc es", "▁Lin ki", "▁Link i", "▁C L", "▁ CL", "▁j á", "it ement", "ite ment", "item ent", "▁á rea", "▁ár ea", "▁scal ar", "▁scala r", "▁Р ес", "▁Ре с", "aw t", "a wt", "si eme", "▁j uni", "▁ju ni", "▁jun i", "▁худо ж", "ik us", "iku s", "▁l id", "▁li d", "pp el", "ppe l", "p pel", "av i", "a vi", "▁bal ance", "ip ping", "ipp ing", "ippi ng", "i pping", "cuss ion", "че ских", "(\" .", "( \".", "Al so", "▁w his", "▁wh is", "HO ME", "▁b rown", "▁br own", "▁bro wn", "▁brow n", "▁d ía", "▁dí a", "▁pu ò", "plot lib", "▁Jahrhundert s", "D K", "▁an chor", "▁anc hor", "▁anch or", "▁ anchor", ".. .]", "... ]", "▁Aust ria", "▁m arca", "▁mar ca", "▁marc a", "▁g ez", "▁ge z", "ious ly", "i ously", "▁l azy", "▁la zy", "x a", "▁Ch annel", "▁Chan nel", "▁ Channel", "▁ne uen", "▁neue n", "▁neu en", "da s", "d as", "▁search ed", "▁sta at", "▁ staat", "▁Та к", "▁Jo sef", "▁Jose f", "▁Jos ef", "▁S her", "▁Sh er", "▁She r", "po is", "p ois", "▁e nem", "▁en em", "▁access ing", "▁не ко", "▁fur ono", "▁pse udo", "▁pseud o", "? >", "▁estado un", "▁estad oun", "▁Ви ди", "▁mot iv", "▁re call", "▁rec all", "is son", "iss on", "i sson", "ó b", ")- -", ") --", "▁E rz", "▁Er z", "▁са вез", "Dir ect", "Di rect", "D irect", "со б", "с об", "▁s ho", "▁sh o", "v ölker", "A p", "ge ns", "gen s", "g ens", "ниш тво", "▁Am sterdam", "us k", "u sk", "п ло", "▁sim ulation", "▁B C", "▁ BC", "▁W oj", "▁Wo j", "au tom", "aut om", "auto m", "Al ex", "A lex", "▁econom ic", "▁econ omic", "го м", "г ом", "ik ai", "ika i", "▁a ltre", "▁al tre", "▁alt re", "▁' -", "▁ '-", "▁W eg", "▁We g", "Not Found", "й ской", "▁convert ing", "▁conver ting", "ph abet", "pha bet", "at rice", "atr ice", "atri ce", "bour ne", "al om", "alo m", "▁comp aring", "▁compar ing", "▁Z o", "▁f la", "▁fl a", "ва я", "▁en tra", "▁ent ra", "▁entr a", "▁char set", "▁chars et", "develop ers", "developer s", "íst ica", "} >", "▁J azz", "▁Ja zz", "▁How ard", "▁Ho ward", "ш та", "▁cl one", "▁clo ne", "▁ clone", "do or", "d oor", "▁P in", "▁Pi n", "** *", "* **", "▁sil ent", "ec ycle", "e cycle", "is ce", "isc e", "i sce", "▁m ud", "▁mu d", "▁Dis play", "▁ Display", "▁l ip", "▁li p", "▁ lip", "▁исполь зова", "▁character istic", "▁s b", "▁ sb", "fire base", "▁B ew", "▁Be w", "Cal endar", "▁u so", "▁us o", "▁ uso", "ès e", "è se", "▁R at", "▁Ra t", "▁es per", "▁espe r", "▁esp er", "▁ esper", "▁throw ing", "▁thro wing", "▁ro dz", "▁rod z", "▁y ards", "▁yard s", "▁g rass", "▁gr ass", "▁gra ss", "▁mar ker", "▁mark er", "▁ marker", "▁K os", "▁Ko s", "Th eta", "The ta", "▁organ is", "ker nel", "kern el", "k ernel", "▁person as", "▁pers onas", "▁persona s", "ke ep", "kee p", "▁exc laimed", "os lav", "▁Ent ertain", "▁Enter tain", "не р", "н ер", "▁in won", "▁R and", "▁Ra nd", "▁Ran d", "red uce", "redu ce", "fa c", "f ac", "ex pression", "exp ression", "expr ession", "express ion", "y j", "▁differ enti", "▁different i", "ag lia", "agli a", "▁tem plates", "▁template s", "▁ templates", "▁m ű", "▁p rv", "▁pr v", "▁m ois", "▁mo is", "▁moi s", "▁gew ann", "▁бу ла", "bib li", "b ibli", "de mo", "dem o", "d emo", "▁And erson", "▁Anders on", "▁ре д", "▁ ред", "▁por que", "▁P ologne", "▁Pol ogne", "▁t rip", "▁tr ip", "▁tri p", "▁exem ple", "▁exempl e", "▁Intern acional", "▁ка о", "In sert", "gen eral", "gener al", "SE SSION", "ber ga", "berg a", "hä lt", "h ält", "un as", "una s", "u nas", "ми ра", "мир а", "▁yield s", "map sto", "maps to", "sp ot", "s pot", "▁+ \\", "▁ +\\", "лл а", "л ла", "▁precis ely", "▁precise ly", "▁ч лен", "sh adow", "Ar e", "A re", "un al", "una l", "u nal", "▁dis par", "▁disp ar", "▁tít ulo", "ne st", "nes t", "n est", "▁L ow", "▁Lo w", "▁p rot", "▁pro t", "▁pr ot", "▁C osta", "▁Co sta", "▁Cost a", "▁Cos ta", "name d", "na med", "nam ed", "n amed", "▁g ained", "▁ga ined", "▁gain ed", "les ia", "l esia", "▁admin istration", "▁administr ation", "Im port", "Imp ort", "br anch", "b ranch", "▁sym path", "vo j", "v oj", "▁E C", "▁ EC", "▁municip io", "▁anim ated", "▁animate d", "▁direct ories", "▁director ies", "▁ro of", "zą d", "z ąd", "im et", "ime t", "i met", "pr oto", "pro to", "bl a", "b la", ": ]", "ha ve", "hav e", "h ave", "at em", "ate m", "a tem", "▁n s", "▁ ns", "▁s ector", "▁se ctor", "▁sec tor", "▁sect or", "th ree", "ow ane", "owa ne", "owan e", "wer s", "we rs", "w ers", "ов их", "ови х", "ren ce", "r ence", "▁ex tr", "▁ext r", "ig ten", "igt en", "igte n", "▁occ ident", "ț ă", "▁e at", "▁h ydro", "▁hy dro", "▁hyd ro", "ubern etes", "[ @", "▁M oon", "▁Mo on", "▁S ho", "▁Sh o", "▁else where", "ül ler", "üll er", "Up load", "ла нд", "лан д", "л анд", "▁F ör", "w issenschaft", "K S", "▁phys ics", "▁ physics", "t z", "▁се ред", "▁Ar beit", "▁Arbe it", "▁ме ст", "▁ мест", "▁Geb iet", "▁in sect", "▁ins ect", "▁inse ct", "A h", "iz ado", "iza do", "▁tem ple", "▁temp le", "▁ann ual", "st ad", "sta d", "▁hab itat", "▁habit at", "▁A B", "▁ AB", "wo rt", "wor t", "w ort", "▁re pos", "▁rep os", "▁repo s", "▁N eu", "▁Ne u", "▁$ (\".", "▁$( \".", "▁$(\" .", "Vor lage", "▁repre zent", "est anden", "In tern", "Int ern", "Inter n", ". `", "▁fa iling", "▁fail ing", "▁M aterial", "▁Mate rial", "▁ Material", "▁effect ively", "▁effective ly", "те лем", "тел ем", "▁г ла", "▁ гла", "▁na hm", "▁nah m", "▁ nahm", "▁differ ently", "▁different ly", "ext ension", "▁V erm", "▁Ver m", "▁Ve rm", "en abled", "ena bled", "enable d", "con figure", "config ure", "ni o", "n io", "ci ones", "cio nes", "cion es", "c iones", "▁B each", "▁Be ach", "со на", "сон а", "с она", "▁copy ing", "▁cop ying", "▁у країн", "▁при зна", "▁приз на", "z h", "Des ktop", "▁s ost", "▁so st", "▁sub sequently", "▁subsequ ently", "▁subsequent ly", "▁Le hr", "▁ ó", "lä r", "l är", "od or", "odo r", "o dor", "ph on", "p hon", "n c", "iter ator", "▁э ти", "▁europ é", "▁Tor onto", "ód igo", "▁p osto", "▁po sto", "▁pos to", "▁post o", "ff e", "f fe", "▁c rew", "▁cre w", "▁cr ew", "▁Sch war", "▁Schw ar", "S a", "squ are", "s quare", "▁be side", "▁bes ide", "▁М і", "▁a th", "▁at h", "▁ ath", "▁ad vent", "▁adv ent", "c ji", "writ ten", "wr itten", "w ritten", "▁r uss", "▁ru ss", "▁rus s", "ro st", "ros t", "r ost", "H I", "▁d ice", "▁di ce", "▁dic e", "cc a", "c ca", "▁d ép", "▁dé p", "pl y", "p ly", "big g", "bi gg", "b igg", "zi ał", "zia ł", "z iał", "üt t", "ü tt", "▁о дно", "▁од но", "J ECT", "сь кому", "сько му", "ськ ому", "no s", "n os", "mo ck", "m ock", "La unch", "sa me", "sam e", "s ame", "▁j obs", "▁jo bs", "▁job s", "▁wide ly", "▁wid ely", "▁def ines", "▁define s", "▁defin es", "▁P se", "▁Ps e", "▁neigh bour", "▁neighb our", "ющи е", "▁cl oser", "▁close r", "▁clos er", "▁clo ser", "▁рас поло", "▁распо ло", "▁cl ubs", "▁club s", "fl y", "f ly", "ши м", "ш им", "▁suffer ed", "▁suff ered", "▁n ar", "▁na r", "▁ nar", "▁l avor", "▁la vor", "▁lav or", "Ext ension", "ition ally", "itional ly", "▁g race", "▁gr ace", "▁gra ce", "▁Campe onato", "▁Christ mas", "m iddle", "oth ek", "othe k", "el ements", "element s", "ele ments", "elem ents", "▁son dern", "▁t arde", "▁tar de", "▁tard e", "▁perman ent", "▁con clude", "▁concl ude", "Se g", "S eg", "▁а каде", "}\" ,", "} \",", "▁февра ля", "ře d", "ř ed", "▁I L", "▁ IL", "ju d", "j ud", "▁U SS", "▁US S", "▁N ature", "▁Natur e", "▁Nat ure", "if ference", "iffer ence", "iffe rence", "Serial izer", "▁tw elve", "ti d", "t id", "ми я", "че ского", "▁cal endar", "▁ calendar", "con cat", "▁inter section", "▁intersect ion", "▁P A", "▁ PA", "az ure", "azu re", "▁situ ée", "▁situé e", "▁k inds", "▁kind s", "▁kin ds", "▁aus ge", "▁r ural", "▁ru ral", "Th eme", "The me", "▁t ale", "▁tal e", "▁ta le", "no indent", "go ing", "r x", "ag i", "a gi", "wrap per", "wr apper", "w rapper", "▁Co ast", "mb H", "▁пере д", "▁пе ред", "sp re", "spr e", "s pre", "▁} \\", "▁ }\\", "▁L I", "▁ LI", "zn am", "zna m", "z nam", "it led", "itle d", "Sam ple", "S ample", "ul iar", "uli ar", "* \\", "▁res istance", "▁resist ance", "st ock", "sto ck", "ke d", "k ed", "▁H E", "▁ HE", "▁pos session", "▁poss ession", "▁possess ion", "▁R ing", "▁Ri ng", "▁m agyar", "▁mag yar", "ou ts", "out s", "o uts", "▁Secret ary", "nd e", "n de", "▁W ald", "▁Wal d", "▁Wa ld", "- (", "▁I SO", "▁IS O", "▁ ISO", "▁af ternoon", "ion en", "io nen", "ione n", "i onen", "▁st ops", "▁stop s", "▁sto ps", "▁const ants", "▁constant s", "gu ard", "bo w", "b ow", "▁e rs", "▁er s", "▁ ers", "▁Fire base", "▁C lear", "▁Cl ear", "▁Cle ar", "▁ Clear", "▁H oly", "▁Hol y", "▁Ho ly", "W in", "▁title s", "▁tit les", "▁т рав", "▁тра в", "▁cont rib", "▁contr ib", "▁ contrib", "hä ng", "h äng", "▁phot ograph", "▁photo graph", "▁Dist ribution", "if ts", "ift s", "▁a unque", "com b", "co mb", "c omb", "AD D", "A DD", "▁public ation", "▁pub lication", "▁publi cation", "▁слу ж", "▁к ня", "▁ay ant", "▁re store", "▁r estore", "▁rest ore", "▁resto re", "▁bel ief", "▁v ég", "▁vé g", "▁ext ensions", "▁extension s", "▁extens ions", "▁ extensions", "▁de com", "▁dec om", "вши й", "в ший", "W T", "▁par ti", "▁part i", "▁gi oc", "▁ми ра", "▁ мира", "▁is su", "▁iss u", "pi pe", "pip e", "p ipe", "▁pro ps", "▁pr ops", "▁prop s", "▁ props", "▁w illing", "▁will ing", "▁wil ling", "▁n est", "▁ne st", "▁ nest", "as o", "a so", "po t", "p ot", "▁hand les", "▁handle s", "▁ф о", "▁ фо", "▁m oder", "▁mod er", "▁mo der", "▁mode r", "▁eben falls", "▁fight ing", "um bn", "umb n", "▁trans parent", "▁K rist", "▁Kr ist", "▁home s", "▁hom es", "▁ho mes", "▁voy age", "Fa iled", "Fail ed", "▁B ird", "▁Bi rd", "▁Bir d", "▁He art", "Count er", "Co unter", "C ounter", "▁Scott ish", "át ica", "▁ar beit", "▁ arbeit", "^{ -\\", "^{- \\", "▁S or", "▁So r", "▁eng aged", "▁engag ed", "▁a side", "▁as ide", "▁asi de", "▁F ou", "▁Fo u", "▁w iel", "▁wie l", "▁re const", "▁recon st", "ou sin", "ous in", "▁host ed", "▁ho sted", "▁hos ted", "▁c lasse", "▁class e", "▁cl asse", "▁clas se", "▁con test", "▁cont est", "▁conte st", ".. .\"", "... \"", "мо м", "м ом", "▁be an", "▁ bean", "ge m", "g em", "▁consult ato", "▁b io", "▁bi o", "▁ bio", "▁subject s", "bo Box", "▁Sch rift", "▁d inner", "▁din ner", "ă r", "▁r ówn", "▁% %", "▁ %%", "ba ge", "bag e", "b age", "▁ver öff", "▁det ected", "▁detect ed", "ie nn", "ien n", "i enn", "ro se", "ros e", "r ose", "▁T on", "▁To n", "Comp lete", "Comple te", "▁pro to", "▁pr oto", "▁prot o", "▁ proto", "ich ts", "icht s", "i chts", "ST AT", "Check ed", "▁in ten", "▁i nten", "▁int en", "▁inte n", "▁s mile", "▁sm ile", "▁st rip", "▁str ip", "▁stri p", "▁ strip", "ne ut", "') ;\r", "'); \r", "' );\r", "fo ur", "f our", "▁to das", "▁tod as", "▁toda s", "Control s", "▁thor ough", "ru p", "r up", "▁држа ви", "it ă", "Pro tocol", "К а", "▁expand ed", "ex tra", "ext ra", "op ort", "opo rt", "o port", "▁Ста нов", "le ases", "lease s", "▁n otion", "▁not ion", "▁no tion", "▁g uest", "▁gu est", "▁Is lands", "▁Island s", "ic ked", "ick ed", "▁D ave", "▁Dav e", "▁Da ve", "▁ref lection", "▁reflect ion", "li v", "l iv", "ál ní", "▁reve aled", "▁s og", "▁so g", "▁T ax", "▁Ta x", "▁period o", "▁peri odo", "▁Welt krie", "catal ina", "qu é", "q ué", "▁F ather", "▁Fa ther", "▁B ir", "▁Bi r", "ex pect", "exp ect", "▁re gression", "▁reg ression", "in é", "i né", "▁d abei", "▁da bei", "pe rm", "per m", "p erm", "ме не", "мен е", "м ене", "▁A bd", "▁Ab d", "▁C F", "▁ CF", "ar ks", "ark s", "resol ve", "wed ge", "w edge", "▁initial ization", "▁Vé ase", "▁при ня", "st mt", "▁in come", "▁inc ome", "M Y", "▁od kazy", "▁Sie he", "▁bod ies", "▁s oc", "▁so c", "R andom", "▁s enza", "▁sen za", "ab lo", "abl o", "a blo", "▁reg arded", "▁regard ed", "on Create", "▁Mag azine", "▁R af", "▁Ra f", "▁Buen os", "и л", ")) );", "))) ;", ") ));", "ca pt", "cap t", "c apt", "re direct", "red irect", "▁pe tit", "▁pet it", "▁f arm", "▁far m", "▁fa rm", "▁r ôle", "▁стать и", "     ", "sub figure", "èce s", "è ces", "zi el", "zie l", "z iel", "▁о кон", "▁ок он", "E E", "me e", "m ee", "▁p erten", "▁per ten", "▁pert en", "▁représ ent", "▁L A", "▁ LA", "? '", "▁т ру", "▁r ational", "▁rat ional", "▁ratio nal", "os of", "oso f", "▁k ne", "▁kn e", "▁art ists", "▁artist s", "Fl ow", "F low", "▁А ль", "▁Ал ь", "iz ard", "iza rd", "izar d", "▁num ero", "▁numer o", "act ic", "a ctic", "▁de struct", "▁dest ruct", "▁destru ct", "▁П ра", "ons ieur", "q t", "ab estanden", "no ść", "Con nect", "Conne ct", "▁o racle", "▁or acle", "▁ora cle", "▁ oracle", "▁Stock holm", "size of", "▁gem äß", "AC T", "A CT", "▁ex pert", "▁exp ert", "▁exper t", "ut ions", "ution s", "uti ons", "▁h acia", "▁ha cia", "▁log ger", "▁ logger", "▁f ool", "▁fo ol", "▁foo l", "ry pto", "rypt o", "æ r", "▁c idade", "▁ci dade", "▁состав е", "▁соста ве", "ok er", "oke r", "o ker", "▁Trans fer", "▁den ied", "Tr ack", "Tra ck", "T rack", "▁r adi", "▁ra di", "▁rad i", "ze c", "z ec", "▁Histor ic", "▁Einwo hner", "ко ю", "▁х ра", "▁ хра", "▁C ategory", "▁ Category", "▁Dis ney", "▁sw ap", "▁ swap", "Be gin", "B egin", "▁m ientras", "▁d ance", "▁dan ce", "▁t ête", "▁d roit", "▁dr oit", "▁dro it", "er ta", "ert a", "▁bird s", "▁bir ds", "▁con vin", "▁conv in", "par ator", "para tor", "д ра", "▁E S", "▁ ES", "▁Ress ources", "▁Ressource s", "EG IN", "ück e", "ü cke", "▁Cr uz", "▁Cru z", "ab ling", "abl ing", "a bling", "▁\" @", "▁me tres", "▁met res", "▁B eg", "▁Be g", "▁Gr ünd", "▁B oh", "▁Bo h", "▁m ile", "▁mil e", "▁mi le", "▁ mile", "▁Techn ology", "\" +", "ac co", "acc o", "a cco", "▁s s", "▁ ss", "▁F ed", "▁Fe d", "▁H end", "▁He nd", "▁Hen d", "us ch", "usc h", "u sch", "it ä", "fol k", "f olk", "▁abs or", "an tal", "ant al", "anta l", "od ge", "▁WH EN", "▁Extern í", "▁Reg iment", "▁evalu ation", "▁T ai", "▁Ta i", "▁voc als", "▁vocal s", "▁ex perimental", "▁experiment al", "em bed", "emb ed", "▁M inn", "▁Min n", "▁Mi nn", "▁в ме", "pr ec", "pre c", "p rec", "ever y", "ev ery", "e very", "▁ho of", "▁Fern ando", "▁Bibli ographie", "▁n ag", "▁na g", "amerikan ischer", "▁m arks", "▁mar ks", "▁mark s", "▁ marks", "▁U TC", "▁ UTC", "▁un certain", "ди я", "ol ia", "oli a", "o lia", "▁c up", "▁cu p", "▁ cup", "▁f ille", "▁fil le", "▁fill e", "▁fi lle", "▁d ok", "▁do k", "use ppe", "est erd", "ester d", "este rd", "e sterd", "▁B rand", "▁Br and", "▁Bra nd", "▁Bran d", "▁Th ird", "P P", "no des", "node s", "n odes", "▁P ad", "▁Pa d", "▁ Pad", "▁l oved", "▁lo ved", "▁love d", "▁lov ed", "sw ing", "s wing", "▁surpr ised", "▁surprise d", "ar di", "ard i", "▁G R", "▁ GR", "] \"", "▁equ ally", "▁equal ly", "▁eq ually", "ih e", "i he", "ca re", "car e", "c are", "пи сок", "пис ок", "li jk", "lij k", "l ijk", "ri nn", "rin n", "r inn", "▁\\ [\\", "▁\\[ \\", "▁s ons", "▁so ns", "▁son s", "▁t ät", "ic amente", "ica mente", "▁l isting", "▁list ing", "iel lement", "ielle ment", "▁nyel ven", "▁d s", "▁ ds", "▁agr icult", "▁H ermann", "▁Her mann", "▁Herm ann", "▁bes ides", "▁beside s", "pro gress", "prog ress", "▁pec uliar", "fo cus", "f ocus", "c n", "- $", "ствен ный", "ou rg", "our g", "o urg", "▁w yn", "▁wy n", "▁conduct ed", "▁condu cted", "▁Станов ништво", "connect ed", "conne cted", "conn ected", "▁b ott", "▁bo tt", "▁bot t", "▁с мер", "▁см ер", "▁P oz", "▁Po z", "un ct", "unc t", "con da", "cond a", "c onda", "▁савез ној", "▁ha vet", "▁have t", "▁hav et", "li gt", "lig t", "l igt", "or ted", "ort ed", "orte d", "▁ent ering", "▁enter ing", "mult ip", "multi p", "mul tip", "▁Tem ple", "▁Temp le", "▁P lant", "▁Pl ant", "▁Plan t", "▁Pla nt", "type of", "▁V lad", "▁qu ed", "▁que d", "▁q ued", "▁re ste", "▁r este", "▁res te", "▁rest e", "▁ма й", "▁ май", "▁V ery", "▁Ver y", "▁Ve ry", "ambigu ation", "▁ch alleng", "▁res pective", "▁respect ive", "▁т ор", "▁то р", "▁ тор", "C trl", "▁abs ence", "ar u", "a ru", "во е", "▁för st", "▁s q", "▁ sq", "▁Em peror", "▁I gn", "▁Ig n", "▁ Ign", "▁т ова", "▁то ва", "▁ това", ": `", "ad oop", "ado op", "▁Mad ame", "▁gru ppo", "▁grup po", "st ud", "▁extern as", "▁Александ р", "▁d ign", "▁di gn", "▁dig n", "▁жи ве", "Am ount", "A mount", "▁correl ate", "▁corre late", "▁F ant", "▁Fa nt", "▁r ails", "▁ra ils", "▁rail s", "▁ rails", "f p", "министра тив", "▁b ought", "▁fil ters", "▁filter s", "▁ filters", "▁anc ora", "▁part ner", "▁qu and", "▁quan d", "sym bol", "s ymbol", "ul ating", "ula ting", "▁z d", "▁ zd", "aw n", "a wn", "▁G rant", "▁Gr ant", "▁Gra nt", "▁Gran t", "bec ause", "b ecause", "ra ble", "rab le", "r able", "\\ }", "íst icas", "ística s", "▁у че", "▁péri ode", "▁s ke", "▁sk e", "▁ ske", "▁Any way", "▁index es", "▁inde xes", "▁direct ions", "▁dire ctions", "▁direction s", "▁R AM", "▁RA M", "▁ RAM", "ch rome", "chr ome", "chrom e", "▁a post", "▁ap ost", "▁apo st", "▁war nings", "▁warning s", "▁warn ings", "▁Air port", "V I", "ab ile", "abil e", "abi le", "▁l ord", "▁lo rd", "pro vider", "prov ider", "▁J i", "ost ream", "o stream", "▁geme ente", "table View", "Ex tra", "Ext ra", "c ursor", "eg round", "egr ound", "e ground", "▁M oz", "▁Mo z", "▁r ib", "▁ri b", "▁ rib", "▁m orph", "▁mor ph", "lo ads", "load s", "el sk", "els k", "▁M AX", "▁MA X", "▁ MAX", "▁Santi ago", "▁H im", "▁Hi m", "code s", "co des", "cod es", "c odes", "▁l anz", "▁lan z", "▁count s", "▁coun ts", "rinn ingsområ", "щ ё", "▁sp é", "▁pier ws", "▁pierw s", "▁S ver", "▁Sv er", "▁a cknow", "▁ac know", "Bo olean", "▁фами ли", "▁Sen ate", "шо в", "ш ов", "ag ers", "age rs", "ager s", "a gers", "▁Nue va", "bi l", "b il", "ki em", "kie m", "k iem", "▁M ey", "▁Me y", "wi j", "w ij", "▁G mbH", "valid ation", "▁en suite", "in king", "ink ing", "▁c ampion", "▁camp ion", "▁finan cial", "▁financi al", "iz on", "izo n", "i zon", "He aders", "Head ers", "Header s", "▁deprec ated", "▁fon ction", "RE G", "R EG", "▁vol umes", "▁volume s", "▁C hi", "▁Ch i", "▁encounter ed", "la k", "l ak", "ра я", "▁contin ues", "▁continu es", "▁continue s", "▁~ [", "uer te", "u erte", "▁\\ ;", "▁ \\;", "▁D ok", "▁Do k", "▁we ights", "▁weight s", "▁r h", "▁ rh", "▁Na pole", "▁Nap ole", "▁natur ally", "▁natural ly", "sk u", "s ku", "pa s", "p as", "▁g egründ", "et r", "e tr", "▁K u", "ic ted", "ict ed", "i cted", "▁fab ric", "▁A SC", "▁AS C", "▁ ASC", "▁Entertain ment", "▁en erg", "▁ener g", "кла д", "к лад", "om on", "omo n", "o mon", "th eme", "the me", "▁ха рак", "▁d raft", "▁dr aft", "▁dra ft", "▁ch annels", "▁channel s", "▁de sert", "▁des ert", "▁deser t", "▁tra vés", "▁trav és", "▁L ock", "▁Lo ck", "▁Loc k", "▁ Lock", "▁s iendo", "▁si endo", "фе к", "ф ек", "m ême", "▁pa cket", "▁pack et", "▁pac ket", "▁Mount ain", "▁F ahr", "▁Fa hr", "bra io", "пе ре", "пер е", "п ере", "▁gen annt", "▁dep loyment", "▁deploy ment", "Pa l", "P al", "но г", "ст ру", "стр у", "Pr im", "P rim", "f ür", "▁danger ous", "▁sz ám", "re ck", "rec k", "▁pop up", "ic ky", "ick y", "in ar", "ina r", "i nar", "co wo", "cow o", "c owo", "нци кло", "ít ás", "▁pl ugins", "▁plugin s", "▁plug ins", "▁ plugins", "▁dr iven", "▁drive n", "▁dri ven", "▁driv en", "ле в", "л ев", "▁\" (", "tt a", "t ta", "▁ Ú", "▁e b", "▁ eb", "▁' ';", "▁'' ;", "▁kn ock", "▁ос нова", "▁основ а", "▁m aison", "▁ma ison", "▁mais on", "▁mai son", "г ля", "▁Hon or", "▁Ho nor", "ta il", "t ail", "ri tz", "rit z", "r itz", "▁gu ys", "▁combin ations", "▁combination s", "ond ere", "onder e", "onde re", "▁A ld", "▁Al d", "▁f iddle", "▁ fiddle", "да в", "ur d", "u rd", "▁pro jection", "▁project ion", "▁Tamb ién", "ve rb", "ver b", "v erb", "▁ter re", "▁ terre", "ru gu", "rug u", "▁se ptember", "▁sept ember", "▁< !", "co st", "cos t", "c ost", "▁n ut", "▁nu t", "▁ nut", "{ %", "▁ub ic", "am arin", "ama rin", "amar in", "ти и", "▁pat ron", "▁patr on", "▁am ely", "▁e sto", "▁est o", "▁es to", "▁ esto", "▁li stop", "▁list op", "fa l", "f al", "▁P rop", "▁Pro p", "▁Pr op", "▁ Prop", "▁O nt", "▁On t", "▁M ade", "▁Ma de", "▁Mad e", "TE ST", "▁N em", "▁Ne m", "▁N ations", "▁Nat ions", "▁Nation s", "▁в у", "▁ ву", "in cluding", "includ ing", "▁spect rum", "▁L an", "▁La n", "▁E ver", "▁Ev er", "Pa ul", "t m", "App end", "Ap pend", "Rel ative", "dis abled", "disable d", "return s", "▁flow ers", "▁flo wers", "▁flower s", "ik u", "i ku", "▁| \\", "▁ |\\", "▁Jord an", "▁Sm all", "▁c ic", "▁ci c", "▁sex ual", "au tre", "aut re", "ва л", "в ал", "▁r ip", "▁ri p", "▁ rip", "ou st", "ous t", "o ust", "▁Philadel phia", "▁u k", "▁ uk", "▁M ongo", "▁Mon go", "▁Mong o", "xml ns", "▁sh op", "▁sho p", "▁ shop", "▁debug ger", "▁z aj", "▁za j", "▁B illy", "▁Bill y", "▁Bil ly", "▁n iem", "▁nie m", "▁ni em", "ol is", "oli s", "o lis", "▁ро ссий", "ag ner", "agn er", "agne r", "▁m aven", "▁ma ven", "▁ maven", "▁Gu stav", "▁Gust av", "A us", "comp are", "▁j eu", "▁je u", "ud er", "ude r", "u der", "ish ment", "▁ди визи", "▁Fin land", "ну т", "н ут", "z és", "▁Liga ções", "▁Lig ações", "▁qu ello", "▁quel lo", "an notation", "annot ation", "▁th rew", "▁thr ew", "▁thre w", "▁Pro of", "▁ Proof", "▁A rea", "▁Ar ea", "▁Are a", "▁ Area", "as hi", "ash i", "▁F O", "▁ FO", "ja min", "j amin", "ден т", "д ент", "▁un us", "fri end", ".\" );", ".\") ;", ". \");", "▁tra kten", "document class", "an ka", "ank a", "▁ar rive", "▁arr ive", "▁arriv e", "▁d onne", "▁don ne", "▁donn e", "ol y", "o ly", "▁R ein", "▁Re in", "▁face book", "▁fac ebook", "▁ facebook", "ic ina", "ici na", "sl ice", "s lice", "▁n agy", "▁na gy", "▁nag y", "▁he bben", "▁I C", "▁ IC", "▁B ag", "▁Ba g", "▁ Bag", "▁circ ul", "▁cir cul", "ác t", "á ct", "mit t", "mi tt", "m itt", "▁g rey", "▁gr ey", "▁gre y", "▁c av", "▁ca v", "▁осо би", "▁sym metric", "▁symmet ric", "▁S ic", "▁Si c", "▁med ium", "▁medi um", "▁ medium", "▁U TF", "▁ UTF", "▁D opo", "▁Do po", "í ch", "bar e", "ba re", "b are", "dz ie", "d zie", "▁he aven", "▁heav en", "▁cam pe", "▁camp e", "ester day", "esterd ay", "▁W issenschaft", "по ль", "пол ь", "di d", "d id", "al er", "ale r", "a ler", "▁citiz ens", "▁Marg aret", "▁s ought", "ch arts", "char ts", "chart s", "CL C", "C LC", "ol ly", "oll y", "ys z", "y sz", "wa ld", "wal d", "w ald", "▁f en", "▁fe n", "▁ fen", "▁S ix", "▁Si x", "▁U rs", "▁Ur s", "▁ор ган", "▁T rad", "▁Tr ad", "▁Tra d", "cu e", "c ue", "sch utz", "▁prec ise", "▁precis e", "▁W indow", "▁Wind ow", "▁ Window", "ти е", "ло ві", "лов і", "it ori", "ito ri", "itor i", "dis ambiguation", "▁х и", "▁ хи", "▁N atural", "▁Natur al", "▁Nat ural", "da n", "d an", "▁con crete", "ци ја", "▁s pel", "▁sp el", "▁spe l", "▁Fa iled", "▁Fail ed", "▁ Failed", "ści e", "śc ie", "ś cie", "▁b uf", "▁bu f", "▁ buf", "uc a", "u ca", "ic ional", "ici onal", "icio nal", "icion al", "▁ott obre", "▁otto bre", "▁ф і", "▁ фі", "▁submit ted", "▁subm itted", "la ve", "lav e", "l ave", "▁P lot", "▁Pl ot", "▁ Plot", "▁col leg", "▁coll eg", "▁colle g", "ad em", "ade m", "a dem", "▁ch aque", "▁cha que", "▁neighbor hood", "▁calci atore", "Lo op", "L oop", "▁G ast", "▁Ga st", "▁Gas t", "▁ко гда", "▁indust rial", "▁industri al", "▁f atal", "▁fa tal", "▁fat al", "▁C ert", "▁Ce rt", "▁Cer t", "▁ Cert", "la tion", "lat ion", "l ation", "▁О дна", "▁Од на", "▁jam ais", "▁acc um", "Id entity", "Ident ity", "▁Me dal", "▁Med al", "Met adata", "Meta data", "▁лю дя", "br idge", "brid ge", "b ridge", "Go od", "G ood", "▁что бы", "▁comp oser", "▁compos er", "▁compose r", "▁b read", "▁br ead", "▁bre ad", "▁clos ure", "▁ closure", "▁large ly", "▁larg ely", "F B", "▁обла сть", "▁autom atic", "▁automat ic", "ar ía", "a ría", "▁sufficient ly", "▁ital iana", "▁ка че", "▁J ó", "hi story", "histor y", "h istory", "▁H D", "▁ HD", "▁sigu iente", "ne ll", "nel l", "n ell", "▁G ree", "▁Gr ee", "▁Gre e", "▁T i", "▁trans ferred", "▁transfer red", "équ ipe", "é quipe", "▁Phili ppe", "▁Philipp e", "▁Philip pe", "▁encou rag", "▁V ietnam", "▁graph s", "▁symmet ry", "fr ed", "fre d", "f red", "we ek", "▁bron ze", "ry s", "r ys", "▁name ly", "▁nam ely", "on ders", "ond ers", "onder s", "onde rs", "lem agne", "X Y", "Con vert", "}] (", "} ](", "Reg ion", "pe cies", "pec ies", "▁te xture", "▁text ure", "▁c hr", "▁ch r", "▁ chr", "не го", "н его", "▁some body", "a qu", "er as", "era s", "e ras", "▁Н ово", "▁Но во", "▁Нов о", "▁d ez", "▁de z", "an iu", "ani u", "a niu", "ok rat", "▁co vers", "▁cover s", "▁cov ers", "▁sign als", "▁signal s", "ђ е", "▁H eb", "▁He b", "▁An ti", "▁Ant i", "IV E", "I VE", "▁re ss", "▁r ess", "▁res s", "▁ ress", "LE TE", "yn a", "y na", "п ла", "жде ния", "ж дения", "▁ch amp", "▁cha mp", "▁cham p", "▁vill ages", "▁village s", "▁villa ges", "Z one", "▁i Phone", "▁sou vent", "сь кі", "ськ і", "▁feb braio", "ér cito", "▁X I", "ok at", "oka t", "▁mem bres", "▁memb res", "▁membre s", "ju nit", "j unit", "▁D raw", "▁Dr aw", "▁Dra w", "▁ Draw", "▁п рово", "▁про во", "▁пров о", "▁пр ово", "aud io", "audi o", "a udio", "en dl", "end l", "▁N ad", "▁Na d", "▁magn itude", "Su r", "S ur", "ic ing", "ici ng", "i cing", "▁un w", "▁о три", "▁от ри", "▁B ey", "▁Be y", "▁V ik", "▁Vi k", "▁polít ica", "port er", "por ter", "porte r", "p orter", "▁Bar bara", "▁Barb ara", "ál t", "á lt", "bi b", "b ib", "▁accom pan", "▁accomp an", "V P", "▁en coded", "▁enc oded", "▁encode d", "▁ encoded", "▁S ometimes", "▁Some times", "bi rd", "bir d", "b ird", "▁U lt", "▁Ul t", "▁t un", "▁tu n", "get Text", "▁ar rival", "▁arr ival", "▁arriv al", "script style", "{ `", "▁pers pective", "LI NE", "LIN E", "L INE", "Form atter", "Format ter", "▁b om", "▁bo m", "в ра", "DE BUG", "Bound s", "B ounds", "▁T itle", "▁Tit le", "▁ Title", "l ó", "Da n", "D an", "▁g ene", "▁ge ne", "▁gen e", "▁B it", "▁Bi t", "▁ Bit", "▁reprodu ce", "▁graph ics", "▁ graphics", "▁с ем", "▁се м", "р ё", "▁ре ки", "us alem", "usa lem", "ро ж", "▁D ES", "▁DE S", "▁So ftware", "ur ance", "u rance", "ithmet ic", "en ess", "ene ss", "enes s", "e ness", "ic hi", "ich i", "i chi", "Con verter", "Convert er", "▁g ithub", "▁ github", "erd ings", "gl ise", "ác h", "á ch", "▁bu ried", "▁bur ied", "▁v ision", "▁vis ion", "▁ vision", "M iss", "▁s ees", "▁se es", "▁see s", "▁person nes", "▁pers onnes", "▁personn es", "▁personne s", "▁In tel", "▁Int el", "el ia", "eli a", "e lia", "▁č lán", "▁c hi", "▁ch i", "▁ chi", "▁k las", "▁kl as", "au té", "aut é", "▁st ark", "▁star k", "cz e", "c ze", "▁dr ivers", "▁driver s", "▁drive rs", "▁dri vers", "▁driv ers", "v n", "! ,", "▁го ды", "▁год ы", "H i", "▁expla ins", "▁expl ains", "▁explain s", "art icles", "article s", "▁z ug", "▁zu g", "▁ zug", "Pro m", "Pr om", "P rom", "> =", "▁Be at", "▁S ax", "▁Sa x", "vert ical", "кт о", "к то", "▁pl ants", "▁plan ts", "▁plant s", "▁Ré férences", "▁Référence s", "▁og ni", "▁c urs", "▁cu rs", "▁cur s", "▁S K", "▁ SK", "он и", "о ни", "▁des tac", "▁dest ac", "\") ;\r", "\"); \r", "\" );\r", "▁S ure", "▁Su re", "▁Sur e", "▁part ido", "▁parti do", "▁Fol ge", "▁Mo ore", "▁w z", "ск ус", "ску с", "lt re", "l tre", "on do", "ond o", "▁p ose", "▁po se", "▁pos e", "▁ pose", "im os", "imo s", "i mos", "бо й", "ци па", "ju s", "j us", ".. ...", "... ..", ".... .", ". ....", "▁ép oca", "▁qu anto", "▁quant o", "▁quan to", "▁Su pport", "▁Supp ort", "▁Sup port", "▁ Support", "gesch ichte", "SER VER", "▁George s", "▁Georg es", "en um", "enu m", "e num", "▁h erm", "▁he rm", "▁her m", "▁ne bo", "▁C hr", "▁Ch r", "▁ Chr", "char acter", "▁* **", "▁** *", "▁ ***", "▁For sch", "ia mi", "iam i", "i ami", "▁ ¿", "cy ch", "cyc h", "c ych", "▁fif th", "se nt", "sen t", "s ent", "▁and erem", "▁andere m", "▁proport ion", "▁propor tion", "▁p rest", "▁pr est", "▁pre st", "▁pres t", "▁G irl", "▁Gi rl", "▁Gir l", "▁d rama", "▁dr ama", "▁dra ma", "▁dram a", "wa nd", "wan d", "w and", "▁M ail", "▁Ma il", "▁Mai l", "▁ Mail", "▁L ux", "▁Lu x", "▁kter ý", "▁Ges ellschaft", "▁Hin weis", "nis se", "n isse", "▁m ondo", "▁mon do", "▁mond o", "E q", "▁per í", "▁pe rí", "▁e astern", "▁eas tern", "▁east ern", "▁UE FA", "ual e", "ua le", "u ale", "▁con vex", "▁conv ex", "▁по ль", "▁пол ь", "▁ поль", "▁H ey", "▁He y", "ze nie", "zen ie", "z enie", "init ely", "▁Z usammen", "SS L", "S SL", "oc al", "oca l", "o cal", "▁c anal", "▁can al", "▁ca nal", "vo y", "v oy", "▁К ри", "▁köz ött", "▁c ars", "▁car s", "▁ca rs", "▁vers ión", "En vironment", "He r", "H er", "▁se ñ", "▁sp atial", "ym i", "y mi", "Fi re", "F ire", "▁ve get", "▁veg et", "▁W ie", "▁Wi e", "▁zn aj", "▁zna j", "▁dam age", "▁en dl", "▁end l", "▁ endl", "gi f", "g if", "▁qu ali", "▁qual i", "▁которы х", "el lan", "ell an", "ella n", "▁m ens", "▁me ns", "▁men s", "▁pl ug", "▁a bund", "▁ab und", "FI G", "F IG", "▁s f", "▁ sf", "▁con fl", "▁conf l", "▁насе ления", "▁princi ples", "▁princip les", "▁principle s", "▁Gab riel", "ib e", "i be", "▁{ %", "▁ {%", "▁pobla ció", "ні ципа", "▁ext reme", "▁extrem e", "▁extr eme", "▁as se", "▁ass e", "▁ asse", "▁v u", "▁ vu", "Mo ck", "M ock", "▁spiel te", "▁A er", "▁d atos", "▁dat os", "en des", "end es", "ende s", "▁G el", "▁Ge l", "▁G or", "▁Go r", "Ch rist", "Chr ist", "ch os", "cho s", "c hos", "Process or", "Proc essor", "▁in struct", "▁inst ruct", "▁instru ct", "▁p icked", "▁pick ed", "▁pic ked", "nah me", "nahm e", "fa hr", "fah r", "f ahr", "▁indic ated", "▁indicate d", "▁% .", "▁ %.", "▁t s", "▁ ts", "▁not able", "▁no table", "▁qual ified", "▁А л", "Bl ack", "B lack", "▁coun cil", "▁over head", "ac i", "a ci", "an née", "ann ée", "▁init With", "bi ó", "b ió", "▁int roduction", "▁introdu ction", "▁compan ion", "▁ex pon", "▁exp on", "▁k ör", "▁kö r", "ob y", "o by", "bu rn", "bur n", "b urn", "gn u", "g nu", "virt ual", "v irtual", "▁intel lect", "▁д ержа", "▁ держа", "' +", "б ле", "▁strict ly", "▁recogn ize", "ho ur", "hou r", "h our", "▁W rest", "en nen", "enn en", "enne n", "$) .", "$ ).", "ff f", "f ff", "▁Cent ro", "▁P itt", "▁Pi tt", "▁Pit t", "▁d ział", "▁dz iał", "▁ dział", "▁c ela", "▁ce la", "▁cel a", "▁frances e", "▁franc ese", "ра ми", "spe cial", "spec ial", "▁D up", "▁Du p", "to ire", "t oire", "ка ль", "кал ь", "к аль", "CO UNT", "▁Br ook", "▁Bro ok", "▁ру ково", "pub lique", "▁se conda", "▁second a", "▁sec onda", "▁com pt", "▁comp t", "▁b land", "▁bl and", "▁bla nd", "▁blan d", "Be fore", "▁P ack", "▁Pa ck", "▁Pac k", "▁ Pack", "al ty", "alt y", "öd er", "ö der", "▁interval s", "▁Daten bank", "Mo vie", "M ovie", "▁trans m", "▁tran sm", "▁t ap", "▁ta p", "▁по ч", "fo n", "f on", "ia i", "i ai", "▁f ib", "▁fi b", "▁w yd", "▁wy d", "▁h ung", "▁hun g", "▁hu ng", "▁ hung", "▁a live", "▁al ive", "▁ali ve", "Cl ear", "C lear", "▁p ushed", "▁push ed", "▁tu ple", "▁ tuple", "ach en", "ac hen", "ache n", "a chen", "го во", "гов о", "г ово", "▁re vers", "▁rev ers", "▁reve rs", "▁rever s", "▁au gment", "▁aug ment", "▁ch allenge", "▁challeng e", "lo st", "los t", "l ost", "▁deux ième", "struct or", "stru ctor", "▁mehr erer", "▁mehrere r", "at ural", "atur al", "atura l", "atu ral", "Sp lit", "S plit", "ст ем", "сте м", "с тем", "ш ла", ")\\ \\", ") \\\\", "▁D og", "▁Do g", "▁develop ers", "▁developer s", "▁ developers", "▁n od", "▁no d", "▁сто ро", "▁Na N", "▁ NaN", "▁pr iest", "▁pri est", "▁ex ha", "UN D", "U ND", "pa ir", "p air", "al one", "alo ne", "▁m oon", "▁mo on", "▁# !/", "▁g uns", "▁gu ns", "▁gun s", "ro la", "rol a", "r ola", "чи та", "▁Encyc lopedia", "▁Encyclop edia", "at is", "ati s", "a tis", "▁' \"", "▁ '\"", "zy ch", "z ych", "▁super fic", "▁э к", "еде ра", "fe ed", "f eed", "LA Y", "F i", "un ks", "unk s", "ise cond", "i second", "▁' @", "▁Ad ding", "▁Add ing", "ро е", "▁t ang", "▁tan g", "▁ta ng", "ц о", "hu ng", "h ung", "bi s", "b is", "sk ého", "ské ho", "▁ad vert", "▁adv ert", "▁за нима", "uz z", "u zz", "ág ina", "▁T el", "▁Te l", "si g", "s ig", "▁E z", "▁guarante e", "▁te aching", "▁teach ing", "ot y", "o ty", "ter min", "term in", "▁distribution s", "▁distrib utions", "FL A", "F LA", "▁Gi useppe", "query Selector", "▁/ \\", "▁ /\\", "▁S quad", "g z", "de lay", "del ay", "▁surr ounding", "▁m anus", "▁man us", "▁H ou", "▁Ho u", "² ,", "▁cult iv", "▁trouble s", "▁trou bles", "▁r aison", "▁ra ison", "exp and", "▁c ov", "▁co v", "▁ cov", "nung en", "n ungen", ")) {", ") ){", "▁g een", "▁ge en", "▁au ßer", "▁Л і", "ř i", "▁situ ations", "▁situation s", "▁tele p", "▁tel ep", "▁J ed", "▁Je d", "▁trav ail", "▁trava il", "li as", "lia s", "l ias", "bul let", "▁select ing", "av ier", "avi er", "a vier", "▁ess ential", "( /", "yy yy", "št ě", "ul ty", "ult y", "▁k ra", "▁kr a", "▁t abs", "▁tab s", "▁ta bs", "▁ tabs", "▁experience d", "▁experien ced", "az i", "a zi", "▁D irectory", "▁Direct ory", "▁Director y", "▁ Directory", "▁c ron", "▁cr on", "▁cro n", "▁s pend", "▁sp end", "▁spe nd", "▁R A", "▁ RA", "▁s elenium", "▁sel enium", "▁ selenium", "▁T hé", "▁Th é", "Element s", "El ements", "ci i", "c ii", "▁p lat", "▁pl at", "▁pla t", "▁arch ive", "▁archiv e", "▁ archive", "▁ass istance", "▁assist ance", "▁ne ck", "▁A venue", "▁Aven ue", "▁w heel", "▁whe el", "▁h ade", "▁ha de", "▁had e", "Com mon", "Comm on", "▁D ialog", "▁Di alog", "▁Dia log", "▁ Dialog", "▁f org", "▁for g", "▁fo rg", "▁sur ely", "▁sure ly", "▁h ockey", "kt ó", "k tó", "▁t k", "▁ tk", "▁Br uce", "▁Bru ce", "▁e norm", "▁en orm", ", ’", "▁Christ opher", "▁Christoph er", "je v", "j ev", "▁qu ad", "▁ quad", "▁A JAX", "▁rel ief", "▁reli ef", "▁m odes", "▁mod es", "▁mo des", "▁mode s", "sk lär", "s klär", "▁V id", "▁Vi d", "▁Se rial", "▁Ser ial", "▁ Serial", "▁to kens", "▁token s", "▁Pol and", "▁Po land", "\\ ]", "▁v ide", "▁vi de", "▁vid e", "ro oms", "room s", "om as", "oma s", "o mas", "▁B ureau", "▁Bur eau", "c x", "ность ю", "ност ью", "▁sign s", "▁sig ns", "ше ние", "los sen", "loss en", "l ossen", "▁Que ens", "▁Queen s", "▁m embre", "▁mem bre", "▁memb re", "▁m ez", "▁me z", "▁ mez", "▁B ool", "▁Bo ol", "▁ Bool", "▁N aj", "▁Na j", "▁Mem ory", "▁ Memory", "▁K han", "▁Kh an", "▁l à", "▁ là", "▁H ud", "▁Hu d", "▁d ismiss", "▁dis miss", "ight h", "igh th", "▁f s", "▁ fs", "pr event", "pre vent", "prev ent", "▁ме да", "▁Pol ice", "▁Po lice", "▁с ко", "▁ ско", "fin ite", "▁a mi", "▁am i", "▁ ami", "▁M uch", "▁Mu ch", "ow ania", "owa nia", "owan ia", "OR Y", "O RY", "io rs", "ior s", "i ors", "▁Prem io", "▁text box", "d m", "▁a fin", "▁af in", "▁Don ald", "▁ Donald", "▁P riv", "▁Pr iv", "▁Pri v", "▁de cid", "▁dec id", "▁Maur ice", "▁Mau rice", "ag an", "aga n", "a gan", "▁Britann ica", "▁o ft", "▁of t", "▁consec utive", "\"? >", "\" ?>", "ови й", "st udent", "stud ent", "▁pe que", "▁di eses", "▁dies es", "▁diese s", "▁ret our", "ét r", "é tr", "▁с ез", "▁се з", "▁k re", "▁kr e", "▁ kre", "▁v otes", "▁vo tes", "▁vot es", "▁vote s", "ru ption", "rupt ion", "rup tion", "iz ada", "iza da", "▁W iel", "▁Wi el", "▁Wie l", "▁G ray", "▁Gr ay", "▁Gra y", "▁Le op", "▁Leo p", "teil ung", "tei lung", "([ '", "( ['", "▁wh ites", "▁white s", "fr ica", "fri ca", "f rica", "an imation", "anim ation", "cur l", "cu rl", "c url", "ling s", "lin gs", "l ings", "=\" $", "lo yd", "loy d", "text sc", "ор у", "о ру", "▁се ла", "es ian", "esi an", "esia n", "▁M ission", "▁Miss ion", "▁не за", "▁ult imately", "бо в", "б ов", "ol en", "ole n", "o len", "ско му", "ском у", "ск ому", "с кому", "ne te", "net e", "n ete", "▁D it", "▁Di t", "▁co stru", "▁cost ru", "dep endent", "▁Re source", "▁Res ource", "▁ Resource", "▁host s", "▁hos ts", "▁ hosts", "▁re ar", "▁r ear", "D uration", "ни ків", "ник ів", "М а", "▁pl anning", "▁plan ning", "▁pre diction", "▁pred iction", "▁predict ion", "▁L yn", "▁Ly n", "▁k ir", "▁ki r", "▁ kir", "▁Leg isl", "ма т", "м ат", "▁S occer", "▁Soc cer", "▁sur vey", "▁surv ey", "▁surve y", "▁estadoun idense", "or gen", "org en", "orge n", "jo urd", "jou rd", "j ourd", "▁ap rile", "▁april e", "▁apr ile", "▁i ds", "▁id s", "▁ ids", "сь ке", "ськ е", "▁emp loyee", "▁employ ee", "▁ employee", "▁Schaus pieler", "р ъ", "▁mult imedia", "▁multi media", "▁сво ю", "▁w ine", "▁win e", "▁E U", "ic ă", "▁R hein", "▁Rh ein", "▁Pal mar", "ot eca", "ote ca", "▁prep are", "▁prepar e", "▁ prepare", "▁T ot", "▁To t", "▁N ull", "▁Nu ll", "▁ Null", "▁k in", "▁ki n", "▁ kin", "in als", "inal s", "ina ls", "▁New ton", "▁t bl", "▁ tbl", "▁S old", "▁So ld", "▁Sol d", "▁ver f", "▁ve rf", "at uring", "atur ing", "atu ring", "▁la ptop", "▁lap top", "▁Со вет", "▁Сов ет", "▁Сове т", "se cret", "sec ret", "▁Olymp ic", "▁football er", "▁Rud olf", "▁con he", "zy sk", "▁evalu ated", "▁evaluate d", "» )", "sh op", "re pository", "▁z ach", "▁za ch", "▁l osing", "▁lo sing", "▁los ing", "et ter", "ett er", "ette r", "▁W irtschaft", "та к", "▁unnecess ary", "▁P hot", "▁Ph ot", "▁Pho t", "an ska", "ans ka", "ansk a", "▁N ative", "▁Nat ive", "▁ Native", "CC E", "C CE", "▁fi fty", "▁fif ty", "▁e rw", "▁er w", "r h", "is sent", "iss ent", "isse nt", "issen t", "}{ (", "} {(", "▁lan ç", "▁X code", "го род", "гор од", "ci r", "c ir", "▁pel ícula", "▁O scar", "▁Os car", "▁sh ore", "▁sho re", "▁supp lied", "ex amples", "example s", "Me ss", "M ess", "VI CE", "V ICE", "▁ex clude", "▁h en", "▁he n", "▁ hen", "▁гу бер", "▁F ragment", "▁Fra gment", "▁ Fragment", "▁B itte", "▁Bi tte", "▁Bit te", "▁Bes ides", "▁h es", "▁he s", "▁ hes", "▁ih rem", "▁ihr em", "▁ihre m", "▁Ser ge", "▁art ific", "=\" ${", "=\"$ {", "ло во", "лов о", "л ово", "ut eur", "ute ur", "ta ire", "t aire", "па с", "▁eas iest", "▁fam iglia", "N ormal", "▁d alle", "▁da lle", "▁dal le", "▁dall e", "▁n ations", "▁nation s", "▁nat ions", "r p", "th ead", "the ad", "t head", "▁обла сті", "▁Democr atic", "▁челов е", "мо ж", "▁г ер", "▁ге р", "▁ гер", "▁small est", "▁Publish ing", "▁T s", "▁laugh ed", "ll e", "l le", "▁A mt", "▁Am t", "▁I IS", "▁II S", "FOR M", "F ORM", "Ma g", "M ag", "до н", "д он", "▁st oria", "▁stor ia", "▁sto ria", "▁organ ized", "▁organiz ed", "č ní", "▁o x", "▁ ox", "ling en", "lin gen", "l ingen", "▁lu ego", "cc ió", "c ció", "▁re ly", "▁r ely", "▁rel y", "▁t ussen", "er ten", "ert en", "erte n", "▁hon our", "▁Cla ude", "▁Claud e", "▁Ko rea", "▁Kore a", "▁Kor ea", "▁Met ropol", "▁Metro pol", "Su per", "S uper", "ri en", "rie n", "r ien", "ér ature", "att ro", "attr o", "▁б іль", "▁бі ль", "▁ біль", "▁Her bert", "▁aut eurs", "▁aute urs", "▁dar auf", "▁m ental", "▁men tal", "▁ment al", "▁r ang", "▁ra ng", "▁ran g", "▁s ón", "▁só n", "▁S oph", "▁So ph", ")\" ,", ") \",", "Des criptor", "prep are", "▁Land kreis", "H C", "cr oss", "cro ss", "c ross", "ли за", "▁Lo gin", "▁Log in", "▁ Login", "on en", "one n", "o nen", "Fe ature", "▁m useum", "▁muse um", "▁ museum", "ve k", "v ek", "▁Nel son", "▁re jo", "▁коман ди", "▁sum mar", "▁summ ar", "▁сле ду", "▁след у", "äm p", "ä mp", "▁G as", "▁Ga s", "во м", "в ом", "VAL UE", "in ge", "ing e", "per iod", "lass en", "las sen", "lasse n", "l assen", "áv al", "á val", "▁alt ogether", "um ph", "ump h", "ist ro", "istr o", "ą ż", "▁Ke ep", "▁Mar co", "▁Marc o", "▁ét ant", "▁D re", "▁Dr e", "ge ometry", "▁K as", "▁Ka s", "message s", "mess ages", "Co ok", "C ook", "▁S ide", "▁Si de", "▁Sid e", "▁ Side", "▁ко ми", "▁ком и", "ст ри", "стр и", "с три", "▁ex cess", "▁exc ess", "▁Bi ografia", "XX XX", "XXX X", "X XXX", "▁N ie", "▁Ni e", "ven dor", "v endor", "xs d", "x sd", "Mil l", "M ill", "process ing", "▁Miss ouri", "▁perm ett", "▁permet t", "▁a par", "▁ap ar", "▁cro wd", "▁crow d", "fer t", "fe rt", "f ert", "▁D ou", "▁Do u", "r í", "▁C C", "▁ CC", "▁pay ment", "▁ payment", "▁Hol lywood", "▁V irtual", "▁ Virtual", "▁sp oken", "▁spoke n", "▁spo ken", "▁t ram", "▁tr am", "▁tra m", "▁Comm unity", "▁Commun ity", "▁administr ative", "▁в оло", "▁во ло", "gi or", "gio r", "g ior", "vis or", "▁Укра и", "st age", "sta ge", "stag e", "▁For mat", "▁Form at", "▁ Format", "▁conven ient", "Н а", "▁med ian", "▁media n", "▁medi an", "▁в ра", "▁ вра", "▁Пре ма", "en ig", "eni g", "e nig", "▁Op era", "▁Oper a", "ré s", "r és", "▁f mt", "▁ fmt", "▁effic iency", "ma le", "mal e", "m ale", "Ma ster", "M aster", "Ser ies", "Se ries", "S eries", "▁s yd", "▁sy d", "gener ic", "inter val", "▁e fect", "▁inwon ers", "лим пи", "ir ement", "ire ment", "Er r", "E rr", "ö h", "▁l ying", "▁ly ing", "▁ lying", "▁S ettings", "▁Setting s", "▁ Settings", "! =", "em atic", "emat ic", "arg v", "▁Bas ic", "▁ Basic", "▁consider ation", "▁h abe", "▁ha be", "▁hab e", "- %", "▁mount ains", "▁mountain s", "▁pe ak", "▁f allen", "▁fall en", "▁fal len", "ed ed", "ede d", "e ded", "log ic", "▁mat ched", "▁match ed", "▁typ ing", "▁ty ping", ")} ,", ") },", "▁f ancy", "▁fan cy", "▁eleg ant", "ا ل", "▁уча ст", "▁Sa rah", "▁Sar ah", "▁V erd", "▁Ver d", "▁Ve rd", "▁t ego", "▁te go", "ru les", "rule s", "r ules", "▁mo unted", "▁mount ed", "▁і м", "ер у", "е ру", "st off", "sto ff", "fa hren", "fah ren", "fahr en", "f ahren", "dist ance", "d istance", "▁Lic ense", "▁LE FT", "▁ LEFT", "▁w p", "▁ wp", "/ {", "▁am azon", "▁amaz on", "▁ amazon", "> &", "▁els ő", "qu arters", "▁sh ock", "▁sho ck", "ni ck", "nic k", "n ick", "▁Arch ite", "▁S quare", "▁r ates", "▁ra tes", "▁rate s", "▁rat es", "io re", "ior e", "i ore", "▁N at", "▁Na t", "▁Char lot", "re ichen", "reich en", "rei chen", "reiche n", "▁var iation", "▁vari ation", "os is", "osi s", "li fe", "l ife", "sl ide", "s lide", "ab i", "a bi", "uk i", "u ki", "my sq", "mys q", "▁prim itive", "▁primit ive", "▁univers itaire", "LE NG", "ale ż", "eb ook", "e book", "s yn", "▁G egen", "▁Ge gen", "▁Geg en", "▁K ü", "▁а ле", "▁ал е", "▁L ub", "▁Lu b", "con current", "izz ato", "izza to", "▁st ub", "▁i e", "▁ ie", "▁' ./", "▁'. /", "co d", "c od", "▁intern acional", "▁G las", "▁Gl as", "▁Gla s", "▁m are", "▁ma re", "▁mar e", "▁N eb", "▁Ne b", "▁G B", "▁ GB", "kw args", "▁a ument", "▁au ment", "WI D", "W ID", "▁ро д", "▁р од", "▁ род", "p unkt", "▁G rad", "▁Gr ad", "▁Gra d", "▁ Grad", "S N", "AM P", "A MP", "▁B orn", "▁Bo rn", "▁Bor n", "▁Guer re", "го тов", "▁med io", "▁medi o", "Me d", "M ed", "su pp", "sup p", "s upp", "act ual", "drop down", "▁ok tober", "▁ ř", "▁circ ular", "▁cir cular", "▁circul ar", "▁s kin", "▁sk in", "▁ski n", "▁em phas", "▁emp has", "▁го лов", "▁голо в", "▁p ue", "▁pu e", "▁inform ations", "▁information s", "▁Wolf gang", "▁us eless", "▁use less", "и т", "▁Jo an", "▁б ор", "▁бо р", "▁ бор", "▁G lad", "▁Gl ad", "▁Gla d", "▁K now", "▁Kn ow", "▁Kno w", "ké nt", "k ént", "sp eed", "spe ed", "▁Ke vin", "un ft", "▁ar qu", "▁ arqu", "▁C asa", "▁Cas a", "▁Ca sa", "(. ..", "( ...", "▁rapid ly", "▁pro ble", "▁prob le", "▁probl e", "▁Ви кипеди", "že n", "ž en", "▁N eben", "▁Ne ben", "▁Neb en", "▁M eter", "▁Me ter", "▁Met er", "Child ren", "ce m", "c em", "ig os", "igo s", "aj u", "a ju", "▁Ret rie", "▁H ell", "▁He ll", "▁Hel l", "▁g ig", "▁gi g", "▁contro vers", "▁z oom", "▁zo om", "▁zoo m", "▁c ens", "▁ce ns", "▁alc uni", "▁He ader", "▁Head er", "▁ Header", "Me ta", "Met a", "M eta", "Re quired", "▁ин ститу", "▁s kup", "▁sk up", "▁ing les", "ég l", "é gl", "bi j", "b ij", "▁t ér", "▁té r", "▁com pag", "▁comp ag", "▁comm itted", "▁commit ted", "▁process ed", "▁proc essed", "▁proces sed", "Lo wer", "L ower", "▁F oreign", "▁For eign", "▁Fore ign", "▁ Foreign", "▁s eq", "▁se q", "▁ seq", "sheet s", "she ets", "▁F em", "▁Fe m", "ho z", "h oz", "in ks", "ink s", "▁k all", "▁ka ll", "▁kal l", "vari ant", "▁li bro", "▁lib ro", "▁cl icks", "▁click s", "▁cli cks", "▁g obierno", "ie gel", "ieg el", "мо го", "м ого", "ge me", "gem e", "g eme", "▁t ower", "▁to wer", "▁par ish", "▁T CP", "▁l s", "▁ ls", "▁n ginx", "▁ng inx", "▁ nginx", "Na N", "▁D ir", "▁Di r", "▁ Dir", "▁Begr iffe", "▁Begriff e", "ar ie", "ari e", "a rie", "ím p", "í mp", "ic ios", "ici os", "icio s", "i cios", "▁sh aring", "▁cin éma", "be c", "b ec", "RE D", "R ED", "▁K ra", "▁Kr a", "ab ol", "a bol", "▁fl ux", "▁flu x", "▁exp ensive", "▁су ще", "▁` _", "oc z", "o cz", "ли ст", "▁acqu aint", "▁w ise", "▁wis e", "▁ wise", "▁pou voir", "▁pouv oir", "▁dev ant", "▁moment um", "im mer", "imm er", "▁C oupe", "▁Cou pe", "index Of", "▁does nt", "▁doesn t", "▁за в", "▁lic ense", "▁ â", "CS S", "C SS", "▁r ice", "▁ric e", "▁ri ce", "▁ rice", "Te am", "▁a no", "▁an o", "▁ ano", "li t", "l it", "▁mer ged", "▁merge d", "▁C ell", "▁Ce ll", "▁Cel l", "▁ Cell", "л л", "bo y", "b oy", "as ts", "ast s", "▁s ell", "▁se ll", "▁sel l", "▁gro ße", "▁groß e", "▁virt uel", "▁virtue l", "Can cel", "▁s j", "g ment", ". <", "ча й", "i ë", "ak h", "a kh", "iz ers", "ize rs", "izer s", "pr it", "p rit", "▁T ib", "▁Ti b", "▁elabor ate", "▁f é", "▁м еди", "▁ме ди", "LENG TH", "▁prim arily", "▁sc ores", "▁score s", "▁carry ing", "▁l ake", "▁la ke", "▁lak e", "com pose", "comp ose", "compos e", "▁Town ship", "un ge", "ung e", "▁al berga", "an ych", "any ch", "a nych", "qu elle", "que lle", "quel le", "q uelle", "▁Ar k", "▁p ris", "▁pr is", "▁pri s", "▁v oll", "▁vo ll", "▁vol l", "ш ли", "Valid ation", "▁ce ux", "▁pop ulate", "▁popula te", "▁popul ate", "\" \r", "▁fem mes", "▁femme s", "AN G", "A NG", "▁Desp ite", "вы е", "в ые", "is ke", "isk e", "i ske", "zu g", "z ug", "на ча", "▁h atten", "▁hat ten", "▁hatte n", "IN SERT", "Emp loyee", "▁mo ments", "▁moment s", "▁mom ents", "▁últ ima", "▁h older", "▁hold er", "▁ho lder", "▁hol der", "▁ holder", "bl ank", "Col lections", "Collection s", "Collect ions", "ath ers", "ather s", "a thers", "▁g rade", "▁gr ade", "▁gra de", "▁grad e", "▁ grade", "▁aff airs", "▁affair s", ".$ $", ". $$", "▁d elta", "▁del ta", "▁ delta", "▁Jug end", "▁españ ol", "▁O UT", "▁ OUT", "▁mathemat ical", "▁m ongo", "▁mon go", "▁Ф е", "ul ing", "uli ng", "u ling", "▁re volution", "▁revol ution", "▁c oin", "▁co in", "▁sub class", "\" =>", "äch e", "ä che", "▁p yg", "▁py g", "ща я", "ill ery", "ille ry", "iller y", "▁com enz", "dep th", "▁c él", "▁re size", "▁res ize", "▁ resize", "▁S ame", "▁Sam e", "▁Sa me", "▁st rik", "▁str ik", "▁stri k", "▁t ir", "▁ti r", "▁sc arc", "▁scar c", "▁M ember", "▁Mem ber", "▁ Member", "sub scribe", "ó ż", "út bol", "ex cept", "▁dr iving", "▁dri ving", "▁driv ing", "ki e", "k ie", "zo ny", "zon y", "z ony", "ème s", "è mes", "Da vid", "D avid", "iss ant", "issa nt", "▁т ы", "▁ ты", "▁é lect", "▁él ect", "▁re name", "▁r ename", "▁ren ame", "▁R unning", "▁Run ning", "▁ Running", "▁inter faces", "▁interface s", "//////// ////////", "▁Wal ker", "▁Walk er", "▁soci été", "▁as ks", "▁ask s", "br id", "b rid", "▁je we", "▁se ines", "▁sein es", "▁seine s", "▁sei nes", "▁ag ents", "▁agent s", "▁M Y", "▁ MY", "▁Law rence", "de ss", "des s", "d ess", "ie sen", "ies en", "iese n", "i esen", "▁людя х", "прав и", "пра ви", "▁anc est", "▁wel che", "ra um", "r aum", "▁o rb", "▁or b", "▁ orb", "sc al", "s cal", "▁L ear", "▁Le ar", "▁w ear", "▁we ar", "▁s lave", "▁sl ave", "▁sla ve", "▁re named", "▁ren amed", "▁rename d", "če n", "č en", "ma ste", "mas te", "m aste", "ang les", "angle s", "▁Am érica", "▁t i", "▁ ti", "▁dem sel", "▁bene ath", "bin ary", "b inary", "▁ed ición", "▁kil omet", "▁kilom et", "ui ts", "uit s", "u its", "▁cu atro", "▁ent rance", "▁entr ance", "ond issement", "▁b ag", "▁ba g", "▁ bag", "▁Ar men", "▁Arm en", "ij o", "i jo", "▁L ors", "▁Lo rs", "▁Lor s", "▁demsel ben", "ê m", "▁dis crete", "▁prom inent", "▁J ay", "▁Ja y", "de cor", "dec or", "D L", "▁d í", "St ruct", "Str uct", "▁P roduction", "▁Produ ction", "▁Product ion", "th ey", "the y", "ar ius", "ari us", "sch nitt", "▁C ou", "▁Co u", "▁l ex", "▁le x", "▁ lex", "y outube", "▁рабо та", "st ation", "sta tion", "stat ion", "se p", "s ep", "▁mi rror", "▁mir ror", "▁h its", "▁hit s", "▁hi ts", "▁Be ck", "at ically", "atic ally", "▁L az", "▁La z", "▁w inner", "▁win ner", "DE X", "D EX", "▁I NT", "▁IN T", "▁ INT", "}^ {-", "}^{ -", "} ^{-", "▁w egen", "▁we gen", "▁weg en", "ma d", "m ad", "An gle", "Ang le", "zi ng", "zin g", "z ing", "▁Bay ern", "▁Bayer n", "sa l", "s al", "äg er", "ä ger", "▁bus y", "▁st ör", "▁f olk", "▁fol k", "▁ folk", "▁p rix", "▁pr ix", "▁pri x", "▁al located", "▁alloc ated", "▁allocate d", "▁p t", "▁ pt", "af fen", "aff en", "a ffen", "cl uster", "clus ter", "▁com plement", "▁comp lement", "▁comple ment", "▁compl ement", "ár s", "á rs", "▁Amer ika", "рі й", "р ій", "▁val ley", "▁vall ey", "▁valle y", "▁ro oms", "▁room s", "▁ rooms", "▁m oi", "▁mo i", ".\" ,", ". \",", ";; ;;", "▁lo west", "▁low est", "no g", "n og", "▁land et", "▁lan det", "▁program me", "ch io", "chi o", "▁W ährend", "ánd ez", "▁дол ж", "▁o uv", "▁ou v", "▁ ouv", "om ány", "▁Википеди и", "▁s ó", "▁ele ktr", "De sc", "Des c", "D esc", "▁Be aut", "▁Beau t", "на р", "н ар", "▁мо же", "▁мож е", "P ierre", "es ota", "eso ta", "▁oper ated", "▁opera ted", "▁operate d", "▁f orte", "▁for te", "▁fort e", "ри с", "р ис", "▁op position", "▁opp osition", "▁oppos ition", "al ia", "ali a", "a lia", "▁S yl", "▁Sy l", "get Name", "ве ли", "fi k", "f ik", "▁com prom", "▁comp rom", "▁compr om", "▁Text View", "▁ TextView", "Sp ring", "S pring", "met adata", "meta data", "en gu", "eng u", "/ ,", "▁car ri", "is tol", "ist ol", "isto l", "▁diag onal", "li sta", "list a", "lis ta", "l ista", "iz en", "ize n", "i zen", "▁re nde", "▁r ende", "▁ren de", "▁rend e", "gc c", "g cc", "be ck", "bec k", "li us", "l ius", "ir al", "ira l", "i ral", "Resol ver", "▁percent age", "▁at tra", "▁att ra", "▁attr a", "str ings", "string s", "wi ąz", "od s", "o ds", "во лю", "ę ż", "▁news paper", "▁newsp aper", "im iter", "imi ter", "imit er", "AB C", "A BC", "▁Man chester", "[ {", "Ag ent", "Age nt", "A gent", "▁W or", "▁Wo r", "▁K ath", "▁Kat h", "▁Ka th", "▁по ві", "▁пов і", "▁ent onces", "▁n iveau", "at ted", "att ed", "atte d", "le arn", "lear n", "lea rn", "at iques", "ati ques", "atique s", "▁у би", "▁qu indi", "bin ding", "bind ing", "b inding", "▁import ed", "▁imp orted", "▁H orn", "▁Hor n", "▁Ho rn", "em berg", "ember g", "emb erg", "com plex", "comp lex", "comple x", "▁ne ural", "▁neu ral", "▁neur al", "in formation", "▁recogn ition", "in gt", "ing t", "▁inhab itants", "vu e", "v ue", "▁Be völker", "▁cur ves", "▁curve s", "▁curv es", "▁l eb", "▁le b", "▁ leb", "ді й", "д ій", "▁s ow", "▁so w", "▁sent iment", "P H", "ra che", "rac he", "rach e", "r ache", "▁- (", "▁ -(", "▁e stable", "▁est able", "▁es table", "▁estab le", "▁esta ble", "▁Ferd inand", "▁é crit", "▁éc rit", "▁prime iro", "▁t ex", "▁te x", "▁ tex", "▁inter mediate", "ve rage", "ver age", "vera ge", "ib us", "i bus", "▁s erves", "▁ser ves", "▁serv es", "▁serve s", "iv as", "iva s", "i vas", "▁b ru", "▁br u", "▁ bru", "▁l um", "▁lu m", "att ice", "atti ce", "ч ный", "▁D res", "▁Dr es", "▁Dre s", "▁v ideos", "▁video s", "▁vide os", "d uration", "▁a bit", "▁ab it", "▁e gg", "▁eg g", "ograph ical", "ographic al", "al ph", "ST ATE", "STAT E", "▁па ра", "▁пар а", "▁ пара", "re ading", "read ing", "rea ding", "▁veh icle", "▁fort une", "ult ats", "▁St oria", "▁Sto ria", "mi dt", "mid t", "łą cz", "▁Mem orial", "▁v as", "▁va s", "▁ vas", "▁з ан", "▁за н", "▁ зан", "▁ut ility", "▁util ity", "▁ob sc", "▁obs c", "▁rel acion", "▁rela cion", "▁relac ion", "▁run at", "▁ru nat", "Re lease", "ta ke", "t ake", "▁O liver", "▁Ol iver", "▁Oliv er", "▁S id", "▁Si d", "ul os", "ulo s", "u los", "▁G arc", "▁Gar c", "▁Ga rc", "▁роз та", "▁S ak", "▁Sa k", "P y", "führ t", "f ührt", "▁tra bal", "▁trab al", "* {", "▁z es", "▁ze s", "▁ zes", "▁sz ere", "▁szer e", "▁sze re", "▁v arios", "▁var ios", "▁vari os", "▁va rios", "▁o tra", "▁ot ra", "▁e val", "▁ev al", "▁ eval", "▁situ é", "▁sit ué", "▁w ounded", "▁Vin cent", "▁вико ри", "▁en code", "▁enc ode", "▁ encode", "Mod al", "Mo dal", "▁f orb", "▁for b", "▁fo rb", "▁dynam ics", "▁dynamic s", "▁de pos", "▁dep os", "ar de", "ard e", "▁street s", "▁stre ets", "▁K omm", "▁Kom m", "▁Ko mm", "=$ (", "= $(", "▁по вер", "▁пов ер", "▁пове р", "▁d ois", "▁do is", "▁doi s", "▁v itt", "▁vi tt", "▁vit t", "▁automat isch", "▁re load", "▁ reload", "▁Ver walt", "ber o", "be ro", "b ero", "▁h ub", "▁hu b", "▁m os", "▁mo s", "▁ mos", "▁t utto", "▁tu tto", "▁tut to", "▁Freder ick", "ło w", "ł ow", "ant ages", "anta ges", "antage s", "aqu e", "a que", "pa per", "p aper", "▁ein ige", "`) ,", "` ),", "d j", "▁P le", "▁Pl e", "▁% ,", "▁ %,", "▁B itmap", "▁Bit map", "▁ Bitmap", "▁friend ly", "▁tr uly", "▁st roke", "▁str oke", "▁stro ke", "▁ stroke", "ro ph", "rop h", "r oph", "▁en gl", "▁eng l", "▁ engl", "▁c off", "▁co ff", "▁d ust", "▁du st", "▁dus t", "▁Jah res", "▁Jahr es", "▁Jahre s", "pp i", "p pi", "▁w ys", "▁wy s", "fa ctor", "fact or", "fac tor", "f actor", "sch luss", "▁дере вня", "▁дерев ня", "▁P ast", "▁Pa st", "▁Pas t", "▁до ма", "CO M", "C OM", "▁pu eden", "▁puede n", "▁pue den", "▁g ift", "▁gi ft", "▁G la", "▁Gl a", "▁trigger ed", "él y", "é ly", "ül és", "ü 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"▁Мо ск", "▁Мос к", "▁adm itted", "▁admit ted", "▁relig ios", "зя й", "е го", "▁t ears", "▁te ars", "▁tea rs", "in go", "ing o", "od u", "o du", "iv eness", "ive ness", "iven ess", "▁l ogo", "▁lo go", "▁log o", "▁ logo", "▁últ imo", "▁al iment", "▁ali ment", "▁U ITableView", "▁ UITableView", ") !", "▁n j", "le tte", "let te", "lett e", "l ette", "▁res ident", "▁resid ent", "▁term ine", "▁ter mine", "▁termin e", "▁у же", "▁С те", "▁Ст е", "off ice", "▁c arte", "▁car te", "▁cart e", "▁li vre", "▁liv re", "▁Мо сков", "▁Мос ков", "▁Моск ов", "▁e lections", "▁elect ions", "▁ele ctions", "▁election s", "зи ден", "Tr igger", "▁Ben jamin", "add Class", "ско г", "▁Ob servable", "▁Observ able", "▁ Observable", "Cl a", "C la", "gem ein", "geme in", "g emein", "▁con sent", "▁cons ent", "▁conse nt", "в ри", "▁un fold", "▁unf old", "▁govern or", "▁gover nor", "▁governo r", "на л", "н ал", "▁t oda", "▁to da", "▁tod a", "Rem ote", "ar ias", "ari as", "aria s", "a rias", "▁in stal", "▁inst al", "▁ins 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"match es", "yc i", "y ci", "▁esp èce", "▁Schwe izer", "▁Schweiz er", "N T", "S F", "ac ia", "aci a", "a cia", "for ge", "f orge", "Point s", "Po ints", "num bers", "number s", "▁f alling", "▁fall ing", "▁fal ling", "▁inherit ance", "▁Er st", "▁custom ers", "▁customer s", "▁a ctu", "▁act u", "▁ac tu", "▁m igration", "▁migr ation", "\\ '", "Pl an", "P lan", "M r", "ot hy", "oth y", "o thy", "▁up grad", "би ра", "▁O ffic", "▁Of fic", "▁Off ic", "▁W ait", "▁Wa it", "▁ Wait", "▁to ler", "ar don", "ard on", "ardo n", "▁s lide", "▁sl ide", "▁sli de", "▁ slide", ") _", "▁ста в", "▁ став", "▁nu clear", "▁nuc lear", "▁nucle ar", "▁B il", "▁Bi l", "ow ner", "own er", "o wner", "▁Har ris", "▁Harr is", "In formation", "▁p ó", "▁вклю ча", "▁nu ovo", "▁C av", "▁Ca v", "▁De scri", "▁Des cri", "▁а к", "ód zt", "▁react js", "▁Ad ams", "▁Adam s", "▁Ada ms", "▁Altern atively", "ст рук", "стру к", "стр ук", ")` ,", ") `,", "sub string", "subst ring", "substr ing", "▁mass ive", "▁heav ily", "▁се зо", "▁сез о", "▁A na", "▁An a", "▁v ale", "▁val e", "▁va le", "Pa d", "P ad", "▁E ither", "▁r s", "▁ rs", "an che", "anc he", "anch e", "▁up loaded", "▁upload ed", "▁( /", "▁ (/", "▁с пор", "▁спо р", "▁сп ор", "▁redu ction", "▁Tok yo", "gr en", "gre n", "g ren", "▁m igli", "▁mig li", "▁iter ator", "▁ iterator", "st av", "sta v", "▁support ing", "▁ö sterreich", "▁NS Log", "ist iques", "isti ques", "istique s", "ri min", "rim in", "r imin", "MO DE", "}} }\\", "}}} \\", "} }}\\", "▁exp los", "▁expl os", "▁explo s", "от е", "о те", "▁( „", "Sa l", "S al", "▁simple st", "▁simpl est", "▁gi à", "▁та н", "▁т ан", "▁ тан", "▁c yl", "▁cy l", "bi r", "b ir", "▁measure ments", "▁measurement s", "Create d", "Cre ated", "er ek", "ere k", "e rek", "look up", "w irtschaft", "▁В оло", "▁Во ло", "▁Вол о", "ti mer", "time r", "tim er", "t imer", "de rr", "der r", "d err", "▁ст ала", "▁ста ла", "▁стал а", "▁sc enes", "▁scen es", "▁scene s", "▁per su", "▁pers u", "li est", "lie st", "lies t", "l iest", "▁sch edule", "▁sched ule", "ta l", "t al", "ле но", "лен о", "▁pain ting", "▁paint ing", "▁impro vement", "▁improve ment", "▁improv ement", "so ftware", "soft ware", "▁govern o", "▁gover no", "▁H ir", "▁Hi r", "Exec ution", "▁Ok ay", "Pro p", "Pr op", "P rop", "lo ster", "los ter", "lost er", "l oster", "ніципа лі", "▁peu vent", "ol u", "o lu", "▁Ф а", "roll o", "rol lo", "▁ко ло", "▁к оло", "▁ коло", "▁car rière", "▁carri ère", "▁t oggle", "▁tog gle", "▁togg le", "▁ toggle", "▁( $\\", "▁($ \\", "▁aggreg ate", "▁Б і", "text area", "O k", "it to", "itt o", "i tto", "▁s tim", "▁st im", "▁recurs ion", "▁Feder ation", ")_ {", ") _{", "ate gor", "ateg or", "▁dist ribu", "▁distrib u", "Cl oud", "▁m adre", "▁mad re", "▁i v", "▁ iv", "▁Lie utenant", "▁subst ant", "▁le af", "▁ leaf", "▁Kont rola", "V A", "▁t omb", "▁to mb", "▁tom b", "э н", "ato es", "▁god ine", "▁# >", "C ert", "▁em presa", "▁empres a", "Pro ps", "Pr ops", "Prop s", "▁pl anned", "▁plan ned", "▁random ly", "j ähr", "el em", "ele m", "e lem", "▁Oper ation", "▁Opera tion", "▁ Operation", "* `", "pro tocol", "proto col", "() ));", "()) );", "())) ;", "( )));", "we l", "w el", "▁p raw", "▁pr aw", "▁pra w", "▁с им", "▁си м", "▁w ob", "▁wo b", "▁h ace", "▁ha ce", "▁near est", "dis able", "▁C ommun", "▁Com mun", "▁Comm un", "▁re vel", "▁rev el", "▁reve l", "Fr ee", "Fre e", "F ree", "▁bra ckets", "IO Exception", "▁al to", "▁alt o", "▁mar ry", "▁a uc", "▁au c", "▁ auc", "), \\", ") ,\\", "▁typ o", "▁ty po", "ed ad", "eda d", "ar á", "a rá", "ic ator", "ica tor", "tat ywna", "▁b uff", "▁bu ff", "▁buf f", "▁ buff", "or ders", "ord ers", "order s", "orde rs", "▁as ynchronous", "▁e con", "▁ec on", "▁f eu", "▁fe u", "▁I ron", "▁Ir on", "▁r ising", "▁ris ing", "▁ri sing", "Rad ius", "cl k", "▁zwe iten", "▁zwei ten", "▁zweite n", "` '", "▁un iqu", "▁F M", "▁ FM", "▁B ran", "▁Br an", "▁Bra n", "▁f lu", "▁fl u", "▁ flu", "▁sens itive", "ur re", "urr e", "▁I ter", "▁It er", "▁ Iter", "▁S ein", "▁Se in", "▁difer entes", "▁diferen tes", "▁не го", "▁н его", "▁ него", "ch ia", "chi a", "▁An leitung", "atur day", "▁sh orter", "▁short er", "▁transl ated", "▁translate d", "▁R és", "▁Ré s", "▁r ode", "▁ro de", "▁rod e", "dr ag", "dra g", "d rag", "▁l ange", "▁lang e", "▁lan ge", "B i", "ü b", "le ur", "l eur", "▁order ing", "▁ord ering", "al ous", "alo us", "▁К ор", "▁Ко р", "ar char", "arch ar", "arc har", "dest roy", "erv ation", "erva tion", "]] ,", "] ],", "Accessor Impl", "▁autory tatywna", "Se quence", "Sequ ence", "▁pro yect", "▁b ran", "▁br an", "▁bra n", "▁( +", "▁K ab", "▁Ka b", "▁z em", "▁ze m", "▁ zem", "▁Cal cul", "▁ Calcul", "▁se ul", "▁seu l", "▁N iger", "▁Ni ger", "▁ch iam", "▁chi am", "th row", "▁Plan et", "▁Pla net", "bild ung", "▁z ones", "▁zo nes", "▁zone s", "trans ition", "ле ний", "▁m apped", "▁ma pped", "▁map ped", "on aut", "ona ut", "Pa ir", "P air", "il ian", "ili an", "ilia n", "▁M organ", "▁Mor gan", "▁un to", "▁ unto", "jo u", "j ou", "▁h id", "▁hi d", "▁M eta", "▁Me ta", "▁Met a", "▁ Meta", "▁e lles", "▁el les", "▁elle s", "▁ell es", "▁ elles", "Lo u", "L ou", "ra ma", "ram a", "r ama", "ge ordnet", "▁scarc ely", "▁m int", "▁min t", "▁mi nt", "F ocus", "▁Al ter", "▁Alt er", "▁d io", "▁di o", "▁am pl", "▁amp l", "ière ment", "▁ис следова", "LE D", "L ED", "alg orithm", "▁сай ті", "▁сайт і", "▁\" \")", "▁\"\" )", "Hi story", "H istory", "p k", "▁W hit", "▁Wh it", "▁си стем", "▁систе м", "▁Kir chen", "▁Kirche n", "▁Kirch en", "r à", "AP P", "A PP", "▁< %", "ant ine", "anti ne", "antin e", "▁D isk", "▁Dis k", "▁Di sk", "con v", "we lt", "wel t", "w elt", "▁F ut", "▁Fu t", "▁N om", "▁No m", "or do", "ord o", "el lij", "ell ij", "elli j", "▁rece ives", "▁receive s", "co w", "c ow", "yt u", "y tu", "▁o bras", "▁ob ras", "▁obra s", "▁p urchase", "▁purch ase", "▁ear ned", "▁acc essed", "▁access ed", "ax i", "a xi", "▁M ans", "▁Man s", "▁Ma ns", "iv an", "iva n", "i van", "▁t uvo", "▁tu vo", "▁T race", "▁Tr ace", "▁Tra ce", "▁ Trace", "rim onio", "▁desen vol", "ér ique", "éri que", "é rique", "▁result ed", "▁comp uting", "▁comput ing", "▁insp ired", "▁inspir ed", "▁Pr ize", "▁Pri ze", "* \"", "Com put", "Comp ut", "▁ext ensive", "▁extens ive", "è g", "▁Port ály", "▁cast le", "▁ castle", "▁* .", "▁ *.", "▁ph otos", "▁phot os", "▁photo s", "▁vo et", "ON G", "O NG", "▁A lle", "▁Al le", "▁All e", "▁thre aten", "▁threat en", "st üt", "▁album s", "▁alb ums", "▁d ense", "▁den se", "▁dens e", "fl at", "f lat", "cont inu", "Sub ject", "Su bject", "▁read only", "Op t", "O pt", "пи ско", "пис ко", "▁A ber", "▁Ab er", "▁P osition", "▁Pos ition", "▁ Position", "▁To day", "▁Tod ay", "▁m ini", "▁min i", "▁mi ni", "▁B ef", "▁Be f", "li sten", "list en", "lis ten", "l isten", "ствен ного", "ственно го", "SU B", "S UB", "os sa", "oss a", "▁P ope", "▁Po pe", "▁Pop e", "▁Jim my", "▁Д ру", "ungs seite", "▁t ren", "▁tr en", "▁tre n", "op tim", "opt im", "it sch", "its ch", "▁s amt", "▁sa mt", "▁sam t", "▁испо л", "▁ис пол", "& =", "▁Przyp isy", "▁про дол", "C r", "er mann", "erm ann", "erman n", "▁ма тери", "▁мате ри", "▁H ugo", "▁Hu go", "▁De ze", "▁Dez e", "TR UE", "▁defe at", "▁watch ed", "▁wat ched", "▁G ent", "▁Ge nt", "▁Gen t", "AU T", "A UT", "or ous", "oro us", "▁о преде", "ori entation", "orient ation", "▁distingu ished", "▁distinguish ed", "▁mes mo", "▁s li", "▁sl i", "ме на", "мен а", "м ена", "mit tel", "mitt el", "m ittel", "ge richt", "ger icht", "et on", "eto n", "e ton", "-> {", "- >{", "▁w ont", "▁won t", "▁wo nt", "▁w eg", "▁we g", "▁ weg", "▁class ific", "il us", "i lus", "▁M D", "▁ MD", "task s", "▁c him", "▁ch im", "▁chi m", "aw ait", "awa it", "a wait", "▁g ang", "▁gan g", "▁ga ng", "▁ gang", "▁w ię", "▁ wię", "th rough", "▁Russ ell", "▁guess ing", "▁а кт", "▁ак т", "б лі", "c ategories", "су т", "с ут", "▁F en", "▁Fe n", "▁му ж", "▁ne wer", "▁new er", "▁A sync", "▁As ync", "▁ Async", "▁t erme", "▁term e", "▁ter me", "> /", "па ра", "пар а", "▁T rust", "▁Tr ust", "▁Tru st", "▁O pt", "▁Op t", "▁ Opt", "▁d ah", "▁da h", "▁wonder ful", "adrat kil", "▁Г ра", "ma pping", "map ping", "m apping", "▁disc overy", "▁discover y", "▁disco very", "▁B E", "▁ BE", "En able", "▁Fri end", "с ня", "▁cont rolled", "▁control led", "чно ї", "ч ної", "▁contribution s", "▁contrib utions", "j ší", "▁L ev", "▁Le v", "▁franc és", "▁m ic", "▁mi c", "▁ mic", "zi k", "z ik", "▁a lem", "▁al em", "▁ale m", "▁ alem", "can cel", "! '", "▁g rat", "▁gr at", "▁gra t", "▁Begriff sklär", "Cam era", "if icación", "ific ación", "ifica ción", "ró d", "r ód", "▁Arn old", "▁bezeichnet er", "▁f ought", "▁de put", "▁dep ut", "▁D rop", "▁Dr op", "▁Dro p", "▁ Drop", "ta x", "t ax", "d g", "▁H op", "▁Ho p", "G N", "▁Kir ch", "▁Б ар", "▁Ба р", "In voke", "Inv oke", "▁er halten", "▁ve el", "▁word press", "▁ wordpress", "▁IN NER", "trans action", "▁dé jà", "Fa ct", "F act", "▁над мор", "▁angular js", "▁á t", "▁ át", "▁a lap", "▁al ap", "▁P rice", "▁Pr ice", "▁Pri ce", "▁ Price", "▁eff et", "▁s phere", "▁sp here", "▁spher e", "Class Loader", "▁r ugby", "▁rug by", "▁king dom", "▁M ut", "▁Mu t", "▁ки но", "▁re ward", "ci t", "c it", "▁present e", "▁pres ente", "St o", "S to", "Char acter", "lo gs", "log s", "l ogs", "▁cent rale", "▁central e", "▁m ouv", "▁mo uv", "▁mou v", "▁ok ay", "▁ap lic", "Mo re", "Mor e", "M ore", "ény ek", "▁Kö ln", "ne tt", "net t", "n ett", "▁исто рии", "▁истори и", "▁descri bing", "▁sold ier", "▁N eed", "▁Ne ed", "L ight", "▁\" \\<", "▁\"\\ <", "▁h av", "▁ha v", "▁ hav", "er mo", "erm o", "▁infer ior", "le a", "l ea", "▁g g", "▁ gg", "▁кон це", "fra gment", "f ragment", "s b", "Count ry", "C ountry", "▁v ě", "▁ vě", "▁B eng", "▁Be ng", "▁Ben g", "▁Э то", "▁во до", "ма р", "м ар", "STR ING", "▁ú j", "multi ple", "multip le", "state ment", "stat ement", "▁invol ves", "▁involve s", "▁te cn", "▁tec n", "St udent", "gr é", "g ré", "▁le an", "▁ lean", "▁bring ing", "▁Med ical", "▁Medic al", "▁Medi cal", "▁програ м", "▁V og", "▁Vo g", "▁ж ов", "▁Sp irit", "nt h", "n th", "▁stand ards", "▁standard s", "▁Pro file", "▁Prof ile", "▁Profil e", "▁ Profile", "▁e z", "▁ ez", "▁террито рии", "▁s tem", "▁st em", "▁ste m", "ui l", "u il", "▁O g", "B tn", "na l", "n al", "▁near by", "▁produ cing", "cri v", "cr iv", "c riv", "▁assum ptions", "▁assumption s", "▁S park", "▁Sp ark", "▁L ot", "▁Lo t", "it udes", "itu des", "itude s", "itud es", "af ka", "fi ve", "f ive", "at io", "ati o", "▁distingu ish", "ro ck", "roc k", "r ock", "égl ise", "é glise", "▁rapp res", "▁rap pres", ">\\ <", "> \\<", "лі й", "л ій", "▁ми ни", "▁ мини", "▁intitul é", "}} (\\", "}}( \\", "} }(\\", "▁R out", "▁Ro ut", "▁Rou t", "▁ Rout", "▁B order", "▁Bor der", "▁ Border", "▁over rid", "HO ST", "H OST", "rit ten", "ritt en", "r itten", "sa y", "s ay", "▁Ч и", "icht ung", "▁straight forward", "ob b", "o bb", "▁Ter ra", "▁Terr a", "▁[ :", "▁ [:", "Be n", "B en", "▁compos ite", ")+ \\", ") +\\", "▁c rown", "▁cr own", "▁cro wn", "▁crow n", "dir ection", "direct ion", "dire ction", "d irection", "▁неско лько", "▁av ail", "▁purch ased", "▁purchase d", "ho ok", "h ook", "et ies", "eti es", "e ties", "▁f ase", "▁fa se", "▁fas e", "▁R um", "▁Ru m", "▁ge nom", "▁gen om", "▁d ét", "▁dé t", "ow ą", "mp eg", "▁І н", "des ktop", "▁in jection", "▁inj ection", "▁inject ion", "ag le", "a gle", "▁E dd", "▁Ed d", "_{ (", "_ {(", "▁H em", "▁He m", "ut os", "uto s", "pr oj", "pro j", "▁superfic ie", "Pl ot", "P lot", "▁D ocker", "▁Do cker", "▁Doc ker", "ät z", "ä tz", "kre ich", "k reich", "▁un clear", "▁uncle ar", "▁Un ity", "▁Unit y", "▁stream s", "▁stre ams", "ви д", "▁simpl ified", "Fil l", "Fi ll", "F ill", "▁s ant", "▁sa nt", "▁san t", "▁K ommun", "▁Kom mun", "▁Komm un", "▁d uc", "▁du c", "▁д ве", "▁o bs", "▁ob s", "▁ obs", "ž it", "▁Jane iro", "б я", "▁pr esso", "▁pres so", "▁press o", "▁Min istry", "▁b urst", "▁bur st", "▁re aching", "▁reach ing", "li ter", "lit er", "l iter", "▁response s", "▁respons es", "▁E ug", "▁Eu g", "▁s od", "▁so d", "▁C ord", "▁Cor d", "▁Co rd", "▁P erm", "▁Per m", "▁Pe rm", "▁ Perm", "par ts", "part s", "p arts", "ци ма", "vari ables", "variable s", "▁forgot ten", "Fe rn", "F ern", "ost ęp", "v l", "▁С м", "ki m", "k im", "aj ąc", "ają c", "a jąc", "на ль", "нал ь", "н аль", "г ле", "hel per", "help er", "du p", "d up", "eu w", "e uw", "fr a", "f ra", "ell ite", "elli te", "an ya", "any a", "▁re ign", "▁r eign", "▁rei gn", "ges amt", "се да", "▁R yan", "▁Ry an", "▁form atted", "▁format ted", "▁formatt ed", "▁B org", "▁Bo rg", "▁Bor g", "wal k", "w alk", "▁а л", "▁ ал", "agnost ics", "agnostic s", "▁C ape", "▁Cap e", "▁Ca pe", "▁Fran co", "▁Franc o", "▁f ug", "▁fu g", ": )", "ю з", "F etch", "▁rough ly", "▁M is", "▁Mi s", "uet ooth", "▁Venez uela", "▁a stronom", "▁astr onom", "\") `", "\" )`", "om bres", "omb res", "▁кото рой", "ó p", "ow ed", "owe d", "o wed", "H R", "▁C amer", "▁Cam er", "▁Ca mer", "ки е", "par ison", "▁B ij", "▁Bi j", "tem plates", "template s", "en vironment", "environ ment", "iz ação", "iza ção", "▁é r", "▁ ér", "▁pl enty", "▁Type Error", "▁for ty", "▁fort y", "ко ном", "кон ом", "коно м", "▁S ed", "▁Se d", "▁th ats", "▁that s", "▁gra vity", "▁grav ity", "▁gravit y", "▁ gravity", "▁spirit ual", "▁dup licates", "▁duplicate s", "▁enc ryption", "▁encrypt ion", "▁re ven", "▁r even", "▁rev en", "▁reve n", "▁ reven", "get Instance", "äl lor", "äll or", "dis k", "di sk", "d isk", "▁th ro", "▁thr o", "▁N ak", "▁Na k", "▁p oł", "▁po ł", "▁her aus", "in valid", "s By", "Bo ot", "B oot", "▁bu cket", "▁ bucket", "▁P arse", "▁Par se", "▁ Parse", "he x", "h ex", "Con ne", "C onne", "▁Comp uter", "▁Comput er", "zy k", "z yk", "▁indu ced", "▁Br uno", "▁Bru no", "▁Brun o", "▁address ed", "▁addr essed", "ma nia", "man ia", "m ania", "▁in clus", "▁incl us", "▁inc lus", "▁inclu s", "oun ced", "ounce d", "script size", "scripts ize", "▁E pis", "▁Ep is", "▁v ocal", "▁vo cal", "▁voc al", "▁Jon athan", "у м", "st aden", "sta den", "stad en", "▁Child ren", "▁ Children", "пе й", "п ей", "It alia", "Ital ia", "reib ung", "▁n ost", "▁no st", "▁nos t", "▁ nost", "▁е щё", "▁Wer ke", "▁Werk e", "▁act ress", "▁Minn esota", "ri ke", "rik e", "r ike", "▁t ek", "▁te k", "▁ tek", "▁prime ira", "▁f rat", "▁fr at", "▁fra t", "▁Config uration", "▁ Configuration", "▁b id", "▁bi d", "▁ bid", "tr igger", "Cont ents", "Content s", "▁const antly", "▁constant ly", "!! !", "! !!", "▁d read", "▁dr ead", "▁dre ad", "▁hundred s", "ist ische", "isti sche", "▁card inal", "T ABLE", "▁est os", "▁esto s", "ass oc", "asso c", "gr ay", "gra y", "g ray", "▁Sch loss", "▁Schl oss", "▁s che", "▁sc he", "▁sch e", "▁ sche", "con g", "co ng", "c ong", "▁ko ji", "ète s", "èt es", "è tes", "▁E ra", "▁Er a", "om i", "o mi", "▁S R", "▁ SR", "▁wr apped", "▁wra pped", "▁wrap ped", "▁tr unc", "▁a h", "▁ ah", "eg os", "ego s", "ok i", "o ki", "mo uth", "m outh", "log ging", "▁f asc", "▁fa sc", "▁fas c", "▁S ample", "▁Sam ple", "▁ Sample", "▁c onte", "▁con te", "▁cont e", "▁v illa", "▁vi lla", "▁vill a", "▁vil la", "▁ villa", "com ments", "comm ents", "comment s", "▁b atal", "▁ba tal", "▁bat al", "▁bata l", "▁Garc ía", "▁N orte", "▁Nor te", "▁we chsel", "▁Muse o", "▁enf ants", "▁whis per", "na ke", "nak e", "n ake", "▁jed nak", "l ês", "en ders", "end ers", "ender s", "ende rs", "▁ä l", "▁ äl", "▁V B", "▁ VB", "▁cook ies", "▁cookie s", "ze ti", "zet i", "z eti", "at um", "atu m", "▁d edu", "▁de du", "▁ded u", "▁arr anged", "▁arrang ed", "la z", "l az", "▁cu enta", "ym l", "y ml", "▁f lav", "▁fl av", "▁fla v", "M R", "em et", "eme t", "e met", "бі ль", "б іль", "cm p", "c mp", "it uto", "itu to", "itut o", "ze tt", "zet t", "z ett", "▁en vi", "▁env i", "▁k ot", "▁ko t", "$ :", "up per", "upp er", "u pper", "▁Al berto", "▁Albert o", "k b", "An al", "A nal", "ör t", "ö rt", "▁[ -", "▁ [-", "▁führ te", "▁führt e", "ia h", "i ah", "▁T un", "▁Tu n", "▁и скус", "uw e", "u we", "is pecies", "i species", "P ub", "Syn c", "S ync", "▁Colomb ia", "ak ers", "ake rs", "aker s", "▁Imper ial", "ov ing", "ovi ng", "o ving", "▁int elligence", "▁intellig ence", "▁equip ment", "ei n", "e in", "dag ger", "d agger", "▁Ed ge", "▁ Edge", "▁Рес публи", "adratkil ometer", "▁An to", "▁Ant o", "▁char ges", "▁charge s", "▁charg es", "▁O cean", "▁simpl ify", "▁m iesz", "▁mi esz", "▁mie sz", "run ning", "r unning", "▁L ac", "▁La c", "gen ommen", "▁represent ative", "= .", "▁P red", "▁Pr ed", "▁Pre d", "▁ Pred", "▁sp ite", "ci ale", "cial e", "cia le", "c iale", "▁n ave", "▁na ve", "▁nav e", "▁ext ens", "▁neut ral", "▁кото рая", ".< /", ". : :", "> ::", "ш ёл", "▁princip ales", "▁principal es", "▁principale s", "▁ц ар", "▁t ied", "▁ti ed", "▁tie d", "▁al ta", "▁alt a", "▁C it", "▁Ci t", "li ned", "line d", "lin ed", "l ined", "ma jor", "▁p unk", "▁pun k", "▁cin co", "ick ý", "▁r aggi", "▁ra ggi", "▁rag gi", "ty pen", "type n", "typ en", "тель ство", "▁con ference", "▁confer ence", "▁с іль", "▁сі ль", "▁he ut", "i š", "ет а", "е та", "vel ope", "velop e", "h box", "no wn", "now n", "n own", "▁z ar", "▁za r", "▁ zar", "kt iv", "ie ß", "▁с тре", "▁ст ре", "▁ стре", "▁Event Args", "▁ EventArgs", "▁I ra", "▁Ir a", "▁V BA", "▁VB A", "▁S anto", "▁San to", "▁Sant o", "▁F ach", "▁Fa ch", "▁Fac h", "▁F F", "▁ FF", "▁Ray mond", "ме ц", "im plementation", "▁bro thers", "▁brother s", "▁cô té", "▁cont rollers", "▁control lers", "▁controller s", "▁C le", "▁Cl e", "▁c able", "▁ca ble", "▁cab le", "▁con fer", "▁conf er", "▁{ -", "▁ {-", "▁cz ł", "▁Fil ip", "at orio", "ator io", "ato rio", "atori o", "▁w icht", "▁be aucoup", "▁L it", "▁Li t", "▁s essions", "▁session s", "▁sess ions", "▁Su ccess", "▁ Success", "▁ro uting", "▁rout ing", "▁rou ting", "ni u", "n iu", "▁V ice", "▁Vi ce", "▁Vic e", "▁k rit", "▁kr it", "up dated", "update d", "▁In valid", "▁ Invalid", "▁Mann schaft", "▁a os", "▁ao s", "▁t udi", "▁tu di", "▁tud i", "▁des prés", "▁desp rés", "qu a", "q ua", "Cont ains", "Comp any", "▁person a", "▁pers ona", "ad apter", "с ни", "▁v oj", "▁vo j", "▁ voj", "▁e scri", "▁es cri", "▁esc ri", "ag t", "a gt", "▁с тво", "▁ст во", "▁ ство", "▁dist rito", "ap an", "apa n", "a pan", "▁aspect s", "▁z al", "▁za l", ")^ {\\", ")^{ \\", ") ^{\\", "▁syst ème", "▁а на", "▁ан а", "▁ ана", "ium s", "iu ms", "i ums", "▁prem iers", "▁premi ers", "▁premier s", "▁по э", "▁m ère", "▁G un", "▁Gu n", "ap ing", "api ng", "a ping", "▁R ain", "▁Ra in", "▁ig ual", "▁process or", "▁proc essor", "▁ processor", "') `", "' )`", "bl ing", "b ling", "▁m ism", "▁mi sm", "▁mis m", "br áz", "▁close st", "▁clos est", "▁Re ading", "▁Read ing", "▁по пу", "con o", "co no", "c ono", "▁k ult", "▁! !", "▁ !!", "▁Ex pression", "▁Exp ression", "▁Express ion", "▁ Expression", "▁indu ction", "▁induct ion", "ah ren", "ahr en", "a hren", "▁c p", "▁ cp", "▁viol ence", "ient í", "cent e", "cen te", "c ente", "▁D ob", "▁Do b", "ja ck", "j ack", "so ng", "son g", "s ong", "bu cket", "▁de port", "▁dep ort", "ки ми", "ким и", "l m", "▁in noc", "▁inn oc", "Ch anges", "Change s", "▁pro hib", "ang ol", "ango l", "isecond s", "i seconds", "▁п ор", "▁по р", "▁ пор", "▁h ip", "▁hi p", "▁ hip", "▁p ů", "en dorf", "end orf", "endo rf", "endor f", "▁sch eduled", "▁schedule d", "▁Fl ug", "ac yj", "acy j", "▁Fil ms", "▁Film s", "athed ral", "Po wer", "P ower", "ar din", "ard in", "ardi n", "ka p", "k ap", "ic ken", "ick en", "i cken", "re size", "res ize", "eu s", "e us", "r r", "ля н", "л ян", "▁H av", "▁Ha v", "▁o ra", "▁or a", "▁ ora", "FR OM", "F ROM", "ло ся", "▁te rug", "▁ter ug", "▁W idth", "▁ Width", "▁accept s", "бе н", "б ен", "▁m ich", "▁mi ch", "▁mic h", "▁C zech", "▁Cz ech", "▁B edeut", "▁ви д", "▁ вид", "ô me", "▁L oop", "▁Lo op", "▁ Loop", "sp ect", "spe ct", "spec t", "s pect", "ü k", "es ton", "est on", "esto n", "e ston", "▁s lot", "▁sl ot", "▁slo t", "▁został a", "▁Charlot te", "▁состав ляет", "▁составля ет", "▁Prom ise", "▁e po", "▁ep o", "▁d iction", "▁di ction", "▁dict ion", "▁dic tion", "▁ diction", "▁Frank lin", "▁R iv", "▁Ri v", "ру г", "ci da", "cid a", "c ida", "▁Ex plorer", "cook ie", "▁former ly", "▁municip ality", "▁municipal ity", "▁Ste fan", "▁Stef an", "list s", "lis ts", "l ists", "CO MP", "COM P", "Le n", "L en", "▁Sta at", "▁N BA", "de ns", "den s", "d ens", "▁osc ill", "! .", "▁P O", "▁ PO", "ô ne", "es es", "ese s", "▁на циональ", "vo or", "v oor", "▁ко пи", "▁по зи", "▁ пози", "ul u", "u lu", "Const raint", "Constra int", "▁сво ей", "▁algebra ic", "ч ня", "Di ct", "D ict", "▁appear ing", "▁appe aring", "▁p rav", "▁pr av", "▁pra v", "▁Univers al", "B rowser", "▁Sing ap", "ennes see", "] _", "▁S of", "▁So f", "▁C ad", "▁Ca d", "oun ce", "▁cost s", "▁cos ts", "]{ \\", "] {\\", "../ ../", "ськ ій", "ські й", "üh l", "ü hl", "ie ty", "iet y", "i ety", "п р", "▁interpre ted", "▁interpret ed", "aj n", "col og", "co log", "colo g", "c olog", "Y S", "ma ns", "man s", "m ans", "▁met rics", "▁metric s", "▁reg istr", "▁ registr", "ist ance", "istan ce", "▁По ль", "▁an onymous", "▁ anonymous", "▁institution s", "▁instit utions", "▁z dob", "▁zd ob", "pr üng", "prü ng", "▁ар ти", "▁e stat", "▁est at", "▁es tat", "▁esta t", "ac ci", "acc i", "▁academ ic", "▁ch iesa", "▁chi esa", "▁G ian", "▁Gi an", "▁Gia n", "cont rib", "contr ib", "um ed", "ume d", "u med", "▁G ir", "▁Gi r", "▁base ball", "numer ic", "n umeric", "Gener ator", "G M", "▁t iny", "▁ti ny", "▁tin y", "▁ tiny", "▁dist inction", "▁distinct ion", "ге р", "г ер", "▁r ust", "▁ru st", "▁rus t", "▁ rust", "▁FI FA", "▁Pro perties", "▁ Properties", "^ -", "▁э кс", "▁эк с", "▁Sta nis", "▁Stan is", "▁A jax", "es cape", "esc ape", "▁con sp", "▁cons p", "▁C hen", "▁Ch en", "▁Che n", "▁N aval", "▁Na val", "▁Nav al", "Bi t", "B it", "▁b ât", "ски ми", "ским и", "с кими", "dr ive", "dri ve", "d rive", "▁R ound", "▁Ro und", "▁Rou nd", "ph oto", "▁Le vel", "▁Lev el", "▁ Level", "▁g eg", "▁ge g", "▁ geg", "To m", "T om", "▁M obile", "▁ Mobile", "▁T rop", "▁Tr op", "▁Tro p", "Dir ection", "Direct ion", "D irection", "is an", "isa n", "i san", ")^ {-", ")^{ -", ") ^{-", "▁Set ting", "▁ Setting", "▁Pro bably", "ль я", "л ья", "▁as sets", "▁ass ets", "▁asse ts", "▁asset s", "▁ assets", "▁a tte", "▁at te", "▁att e", "▁ atte", "▁b ulk", "▁bul k", "és t", "é st", "▁w ing", "▁win g", "▁ wing", "ni us", "niu s", "n ius", "▁w ins", "▁win s", "▁l ud", "▁lu d", "us hing", "ush ing", "▁d even", "▁de ven", "▁dev en", "▁deve n", "огра ф", "о граф", "burg er", "bur ger", "b urger", "▁em bar", "▁emb ar", "Filter Chain", "▁t um", "▁tu m", "▁ö ss", "▁nom mé", "▁p ir", "▁pi r", "▁l uc", "▁lu c", "db o", "d bo", "ag ues", "ague s", "agu es", "▁al can", "▁alc an", "ou wen", "ouw en", "▁Stan ley", "ци али", "▁g rown", "▁gr own", "▁gro wn", "▁grow n", "▁pres erved", "▁preserve d", "▁s olar", "▁so lar", "▁sol ar", "▁Насе ление", "▁perform ances", "▁performance s", "▁C ow", "▁Co w", "▁engine ering", "▁engineer ing", "▁sc aling", "▁scal ing", "at omic", "ato mic", "atom ic", "end ance", "▁a ce", "▁ac e", "▁ ace", "än gen", "äng en", "änge n", "An im", "A nim", "ph ase", "pha se", "phas e", "z burg", "O ld", "▁serv ant", "▁geme ins", "▁Ob serv", "trans late", "▁cover ing", "▁cov ering", "▁est án", "▁está n", "▁problem a", "▁proble ma", "▁probl ema", "▁у станов", "▁l lev", "▁ll ev", "▁lle v", "▁c zerw", "é al", "me z", "m ez", "RE E", "R EE", "ER R", "ту ри", "тур и", "se gu", "seg u", "s egu", "▁pro fit", "▁prof it", "▁multip lication", "kom men", "k ommen", "▁f aut", "▁fa ut", "▁candid ates", "▁candidate s", "▁U ri", "▁Ur i", "▁ Uri", "▁La ura", "▁Laur a", "▁Lau ra", "▁s ap", "▁sa p", "▁ви сини", "▁Bet ween", "fa de", "f ade", "▁res erved", "▁reserve d", "▁invol ving", "▁M are", "▁Mar e", "▁Ma re", "▁Cont ainer", "▁ Container", "▁на зна", "▁DE BUG", "▁ DEBUG", "▁h urt", "▁hur t", "▁hu rt", "▁Pol ski", "▁l ux", "▁lu x", "C B", "wa ch", "w ach", "▁пери од", "▁перио д", "▁C atherine", "▁g anz", "▁gan z", "uch te", "ucht e", "u chte", "▁cons umer", "▁consum er", "▁consume r", "▁cross ed", "ord ered", "order ed", "orde red", "aw ay", "awa y", "a way", "te chn", "tech n", "▁sub scri", "▁subs cri", "▁short cut", "▁произ вод", "▁simultane ously", "▁r ating", "▁ra ting", "▁rat ing", "▁ rating", "▁K ings", "▁King s", "▁Kin gs", "▁relations hips", "▁relation ships", "▁relationship s", "▁S ex", "▁Se x", "▁T ool", "▁To ol", "▁ Tool", "ag h", "a gh", "ac ters", "act ers", "acter s", "log ger", "hom me", "en gers", "eng ers", "enger s", "▁R i", "ear ance", "ea rance", "▁appear ances", "▁appearance s", "Re al", "▁p asse", "▁pass e", "▁pas se", "ic lopedia", "ч ко", "ter re", "▁Ont ario", "▁пере да", "▁перед а", "fo oter", "foo ter", "foot er", "arch ivi", "archiv i", "if iz", "ifi z", "▁Pro test", "▁Prote st", "▁L IN", "▁LI N", "▁ LIN", "unn able", "▁cent uries", "▁B ayer", "▁Ba yer", "▁Bay er", "ці ю", "ов ин", "ови н", "о вин", "▁And rea", "▁Andre a", "se lection", "select ion", "sel ection", "▁c alm", "▁cal m", "▁ca lm", "▁mod ification", "▁modific ation", "▁short ly", "in aire", "ina ire", "i naire", "▁f usion", "▁fus ion", "▁feel ings", "▁feeling s", "▁fee lings", "P K", "▁Ro berto", "▁Robert o", "г не", "Sh ared", "▁mehr ere", "▁N iem", "▁Ni em", "▁Nie m", "om p", "o mp", "En v", "▁Art icle", "▁P ok", "▁Po k", "▁V ARCHAR", "▁d il", "▁di l", "▁af ford", "▁aff ord", "▁con front", "▁conf ront", "ow anie", "owa nie", "owan ie", "▁min istre", "▁minist re", "▁mini stre", "ad esh", "ade sh", "ades h", "▁P oly", "▁Pol y", "▁Po ly", "▁Ра спо", "▁Рас по", "▁Gru ppe", "▁H elen", "▁He len", "▁Hel en", "▁c c", "▁ cc", "▁port rait", "be w", "b ew", "▁b eta", "▁be ta", "▁bet a", "▁ beta", "▁W ir", "▁Wi r", "▁A udio", "▁Aud io", "▁ Audio", "▁( \\<", "▁(\\ <", "rior ity", "▁n it", "▁ni t", "▁ nit", "▁пред стави", "▁представ и", "▁V ie", "▁Vi e", "▁w ür", "▁ wür", "▁H old", "▁Hol d", "▁Ho ld", "▁ Hold", "▁S ad", "▁Sa d", "▁To chter", "▁o ltre", "▁ol tre", "▁ oltre", "▁Act iv", "▁ Activ", "▁J ason", "▁Ja son", "▁Jas on", "▁wie ku", "▁reg ards", "▁regard s", "▁t aste", "▁ta ste", "agnost ic", "ла ся", "▁S elf", "▁Sel f", "▁ Self", "▁a pr", "▁ap r", "▁De ep", "sc op", "s cop", "Act iv", "▁type def", "▁typed ef", "Content View", "comp iler", "compile r", "▁R oth", "▁Ro th", "▁Rot h", "x c", "зи к", "▁l argo", "▁lar go", "▁larg o", "▁R ena", "▁Re na", "▁Ren a", "he iten", "heit en", "▁platform s", "▁plat forms", "ul la", "ull a", "u lla", "▁gl ance", "▁mas cul", "▁m ex", "▁me x", "▁J orge", "▁fun cion", "▁func ion", "cho ose", "▁re views", "▁review s", "▁Al ban", "▁Alb an", "▁G lo", "▁Gl o", "▁S pecies", "▁Spe cies", "▁Spec ies", "▁F ame", "▁Fa me", "▁Fam e", "▁R oll", "▁Ro ll", "▁Rol l", "▁P uerto", "▁\\ )", "▁ \\)", "ym nas", "ymn as", "en viron", "▁i phone", "▁Wrest ling", "ał y", "a ły", "▁Ind iana", "▁India na", "▁Indian a", "Rad io", "V S", "▁independ ence", "та й", "▁de code", "▁dec ode", "▁ decode", "Wh ite", "▁j ourn", "▁jo urn", "▁jou rn", "▁jour n", "ícul o", "í culo", "▁Bar b", "▁Ba rb", "▁Ev angel", "▁An dy", "▁And y", "▁Wel come", "▁De vice", "▁Dev ice", "▁ Device", "ge f", "g ef", "▁remember ed", "▁vari ations", "▁variation s", "▁Ad olf", "it aine", "ita ine", "▁надмор ској", "▁s team", "▁ste am", "▁concern s", "▁` |", "▁би о", "тель ства", "▁qu attro", "ext end", "▁trab ajo", "▁trabaj o", "en berg", "▁scen arios", "▁scenario s", "ân t", "â nt", "▁kom mt", "▁komm t", "▁dom estic", "▁B asketball", "▁Co oper", "so ck", "s ock", "дер жа", "д ержа", "={ \\", "= {\\", "▁in ici", "▁P hill", "▁Ph ill", "▁Phil l", "▁гене рал", "archivi ato", "ъ н", "Ro b", "R ob", "▁t ong", "▁to ng", "▁ton g", "▁character istics", "▁characteristic s", "▁a maz", "▁am az", "▁M ode", "▁Mod e", "▁Mo de", "▁ Mode", "▁inaug ur", "we hr", "ra nt", "ran t", "r ant", "ion ali", "ional i", "iona li", "▁M other", "▁Mo ther", "▁Mot her", "M a", "é qu", "▁K elly", "▁Kel ly", "ci le", "cil e", "c ile", "▁beste ht", "▁estim ates", "▁estimate s", "rugu ay", "▁A ns", "▁An s", "Ma d", "M ad", "▁на в", "▁d onnées", "▁donn ées", "▁donné es", "▁ données", "▁trop ical", "▁Sever al", "el ter", "elt er", "elte r", "▁P ho", "▁Ph o", "ke m", "k em", "▁Custom er", "▁ Customer", "▁скла ді", "▁c ourses", "▁course s", "▁cours es", "Pl atform", "nav bar", "le arning", "lear ning", "learn ing", "▁Sw edish", "▁z ast", "▁za st", "▁zas t", "▁L ig", "▁Li g", "man agement", "▁l od", "▁lo d", "uff le", "Text ure", "Te xture", "ar ga", "arg a", "át um", "▁D DR", "ні ї", "н ії", "▁Soci été", "▁dom ains", "▁domain s", "▁perm itted", "▁permit ted", "▁ex terne", "▁ext erne", "▁extern e", "▁quel que", "v t", "ym an", "y man", "▁W ard", "▁War d", "▁Wa rd", "▁ag li", "▁ agli", "▁and ra", "▁an dra", "▁ andra", "S napshot", "▁m å", "▁ye ah", "де на", "ден а", "д ена", "ęp u", "ę pu", "ask ell", "▁Ré publique", "in ject", "▁' ;", "▁ ';", "än n", "ä nn", "▁z elf", "▁Ent wicklung", "ár ia", "á ria", "on omy", "ono my", "onom y", "▁s vil", "▁sv il", "ie se", "ies e", "i ese", "▁con ser", "▁cons er", "▁conse r", "▁n im", "▁ni m", "▁ nim", "▁r ész", "▁ré sz", "▁rés z", "▁И тали", "▁part ici", "▁partic i", "▁parti ci", "▁L ion", "▁Li on", "s r", "al ways", "▁Влади мир", "че ские", "[ ,", "▁Def inition", "▁ Definition", "na nt", "nan t", "n ant", "oe m", "o em", "Id s", "I ds", "▁в не", "▁[ ...]", "▁на прав", "▁нап рав", "▁G O", "▁ GO", "▁å rs", "▁år s", "▁ut án", "▁out ros", "▁reg ión", "▁M ong", "▁Mon g", "▁Mo ng", "▁fil me", "▁film e", "▁tri ple", "▁trip le", "▁sp ons", "▁spo ns", "De velop", "▁out come", "▁B ible", "▁Bi ble", "▁Bib le", "▁и мени", "▁име ни", "▁имен и", "Can vas", "пу та", "cur r", "cu rr", "c urr", "ás ok", "){ \\", ") {\\", "ning ar", "` ;", "▁Fl ash", ": #", "mu st", "mus t", "m ust", "cp u", "c pu", "▁form ats", "▁format s", "▁forma ts", "Ha r", "H ar", "▁epis odio", "▁R osa", "▁Ro sa", "▁Ros a", "▁d ès", "em it", "emi t", "e mit", "rit eria", "rite ria", "riter ia", "An notation", "Fl ag", "F lag", "g mail", "▁N ormal", "▁Nor mal", "▁Norm al", "▁ Normal", "oll ary", "ollar y", "▁f oss", "▁fo ss", "▁fos s", "▁con current", "▁conc urrent", "▁ concurrent", "▁crash es", "▁ви де", "▁вид е", "▁Min or", "▁Mi nor", "▁S it", "▁Si t", "▁S N", "▁ SN", "▁s car", "▁sc ar", "▁ scar", "▁fe min", "▁fem in", "▁spec ification", "▁specific ation", "so ap", "▁o perate", "▁oper ate", "▁opera te", "▁principal mente", "▁a ust", "▁au st", "▁aus t", "ib ile", "ibil e", "it ime", "iti me", "i time", "ле жа", "if rame", "i frame", "▁concept s", "▁conce pts", "▁t ack", "▁ta ck", "▁v iss", "▁vis s", "▁vi ss", "▁car bon", "ter y", "te ry", "t ery", "▁n aming", "▁na ming", "▁nam ing", "▁Or ts", "▁Ort s", "id ente", "ident e", "iden te", "▁Cap it", "▁Ca pit", "▁ex pr", "▁exp r", "▁ expr", "▁насе љу", "▁Select ed", "▁Sel ected", "▁Sele cted", "▁ Selected", "▁h inter", "▁hint er", "▁hin ter", "▁i frame", "▁if rame", "▁ iframe", "▁z b", "index Path", "col l", "co ll", "c oll", "▁wr ześ", "▁a cht", "▁ac ht", "▁ach t", "▁ acht", "▁grad ually", "▁gradu ally", "▁ч у", "▁ чу", "зе й", "з ей", "ha ft", "h aft", "▁t ran", "▁tr an", "▁tra n", "▁la quelle", "yt ics", "ID E", "I DE", "▁py game", "▁pyg ame", "▁P ackage", "▁Pack age", "▁ Package", "▁class Name", "▁ className", "B al", "pe rl", "per l", "ти на", "тин а", "O cc", "▁in frastr", "▁Champion s", "▁Champ ions", "▁class ic", "▁R aw", "▁Ra w", "▁ Raw", "▁partial ly", "▁parti ally", "▁T ed", "▁Te d", "▁sto let", "ra ined", "rain ed", "raine d", "rai ned", "r ained", "WH ERE", "W HERE", "▁v all", "▁val l", "▁va ll", "▁Jul ia", "▁Ju lia", "▁Juli a", "za t", "z at", "▁surr ounded", "SE E", "S EE", "▁walk ing", "▁wal king", "B ad", "FO R", "F OR", "con tre", "cont re", "contr e", "▁Pal est", "▁Pale st", "át ico", "▁engine er", "▁part ners", "▁partner s", "▁Je ws", "▁Jew s", "il ers", "ile rs", "iler s", "i lers", "▁c erem", "▁ce rem", "▁cer em", "▁inter actions", "▁interaction s", "▁interact ions", "ac u", "a cu", "st y", "s ty", "▁Prince ss", "▁Prin cess", "sh arp", "sha rp", "▁Sing les", "▁Single s", "▁ї х", "ch ez", "che z", "c hez", "Rece iver", "Receive r", "▁pat ients", "▁patient s", "string ify", "▁compet ed", "be y", "b ey", "$ ;", "▁B d", "had oop", "h adoop", "▁Div isión", "öl d", "ö ld", "▁restrict ed", "▁comm ander", "▁command er", "▁comma nder", "▁High way", "▁Č esk", "▁m yth", "▁my th", "ча н", "ч ан", "ra ham", "rah am", "▁en qu", "▁p og", "▁po g", "▁com una", "▁comun a", "▁print ln", "▁ println", "▁к руп", "▁de pois", "▁dep ois", "▁se ats", "▁sea ts", "▁seat s", "▁neigh b", "ци она", "цион а", "ag ine", "agi ne", "agin e", "▁cloth es", "▁clo thes", "▁P rior", "▁Pr ior", "▁Pri or", "Br ain", "Bra in", "B rain", "FF FF", "': '", "' :'", "fe atures", "feature s", "▁file system", "▁files ystem", "▁sing les", "▁single s", "▁Mel bourne", "▁dest ruction", "▁destruct ion", "▁destru ction", "▁Ly on", "▁In sel", "▁Ins el", "Na v", "N av", "▁Re place", "▁Rep lace", "▁ Replace", "▁l é", "▁ lé", "Wh o", "W ho", "▁E stad", "▁Est ad", "▁Esta d", "▁dim ensional", "▁dimension al", "▁ dimensional", "▁ö ff", "▁ öff", "▁gr ands", "▁gran ds", "▁grand s", "дж а", "д жа", "pl ane", "plan e", "pla ne", "p lane", "но сті", "ност і", "нос ті", "▁Or igin", "▁Ori gin", "▁Orig in", "▁ Origin", "W I", "än ner", "änn er", "▁C ry", "▁Cr y", "IT ION", "▁fö dd", "▁cult ura", "▁R ank", "▁Ran k", "▁v uel", "▁vue l", "▁vu el", "▁z ag", "▁za g", "▁Ma xim", "▁Max im", "он у", "о ну", "() ))", "()) )", "( )))", "R aw", "kir che", "k irche", "▁a demás", "▁t ie", "▁ti e", "▁St yle", "▁ Style", "ско в", "ск ов", "с ков", "ist ant", "ista nt", "istan t", "ol ph", "▁Z ür", "▁In fo", "▁Inf o", "▁ Info", "DO M", "D OM", "us c", "u sc", "na hm", "nah m", "▁Ф едера", "▁F ot", "▁Fo t", "▁spec ifying", "▁specify ing", "▁tit olo", "▁Bo ys", "▁Boy s", "ie ch", "iec h", "i ech", "Pl ace", "P lace", "▁H off", "▁Ho ff", "▁Hof f", "▁c ached", "▁ca ched", "▁cache d", "ва ль", "вал ь", "в аль", "is her", "ish er", "roll ing", "rol ling", "op ens", "ope ns", "open s", "▁h r", "▁ hr", "-- ----", "---- --", "--- ---", "----- -", "- -----", "▁mag gior", "▁maggio r", "▁trans actions", "▁transaction s", "▁c riminal", "▁crim inal", "▁re tre", "▁ret re", "▁retr e", "▁Camp bell", ")) :", ") ):", "▁n ed", "▁ne d", "▁ ned", "Page r", "Pa ger", "P ager", "▁H ero", "▁He ro", "▁Her o", "(_ _", "( __", "▁un cle", "▁re aches", "▁reach es", "ar to", "art o", "▁h ello", "▁hel lo", "▁hell o", "▁ hello", "Pre ferences", "▁за тем", "Name d", "Na med", "N amed", "▁re aders", "▁read ers", "▁reader s", "х і", "ke rn", "ker n", "k ern", "▁у по", "ки н", "к ин", "▁l av", "▁la v", "▁ lav", "▁n ob", "▁no b", "▁se cre", "▁sec re", "▁List View", "▁ ListView", "ва ния", "▁May or", "bo rough", "bor ough", "▁fil osof", "не ння", "нен ня", "фр и", "ф ри", "▁p atr", "▁pat r", "▁pa tr", "F M", "▁a cid", "▁ac id", "▁Salv ador", "▁a bb", "▁ab b", "▁ abb", "▁G raham", "▁Gra ham", "pol icy", "neg ative", "ński ego", "ń skiego", "▁He imat", "▁d azu", "▁da zu", "▁m ely", "▁me ly", "▁mel y", "▁r ide", "▁rid e", "▁ri de", "▁ ride", "▁du ties", "▁dut ies", "ov ery", "over y", "ove ry", "o very", "▁Pro position", "▁Prop osition", "▁Pa olo", "/ '", "▁M au", "▁Ma u", "im enti", "iment i", "imen ti", "Sa int", "S aint", "fa ther", "f ather", "▁equ ilib", "ph ony", "phon y", "▁c las", "▁cl as", "▁cla s", "▁от ли", "▁Buffer ed", "▁Buff ered", "re k", "r ek", "▁m itt", "▁mit t", "▁mi tt", "▁ mitt", "▁H ur", "▁Hu r", "▁Har vard", "▁demonstr ate", "ua rio", "u ario", "▁do lor", "▁dol or", "▁reject ed", "▁M üller", "▁n ac", "▁na c", "▁B elle", "▁Be lle", "▁Bel le", "▁Bell e", "▁gather ed", "n r", "fr ika", "fri ka", "öl l", "ö ll", "▁chem ical", "ni g", "n ig", "▁cal c", "▁ calc", "▁DE FAULT", "▁ DEFAULT", "▁philosoph y", "▁Lar avel", "▁al ignment", "▁align ment", "E V", "e or", "▁d zie", "▁dz ie", "▁ dzie", "▁m est", "▁me st", "▁mes t", "▁I o", "CR E", "C RE", "з ви", "▁M edic", "▁Me dic", "▁Med ic", "▁Medi c", "▁n ä", "▁z ab", "▁za b", "▁S lov", "▁Sl ov", "▁Slo v", "ut lich", "▁am plit", "▁ampl it", "▁amp lit", "▁Fran kreich", "▁Frank reich", "▁к іль", "▁кі ль", "IN D", "I ND", "exec ution", "▁Kar riere", "d ostęp", "▁r éal", "▁ré al", "en go", "eng o", "▁se vere", "▁sever e", "зм а", "з ма", "▁тур ни", "▁C arter", "▁Car ter", "▁Cart er", "▁Rob inson", "▁Robin son", "getElement sBy", "▁pro totype", "▁proto type", "▁ prototype", "▁jap on", "▁ja pon", "führ ung", "f ührung", "▁con segu", "▁cons egu", "▁conse gu", "▁st udi", "▁stud i", "▁l ire", "▁li re", "▁ lire", "▁sch ließ", "▁ schließ", "▁B uff", "▁Bu ff", "▁red und", "▁redu nd", "▁e rn", "▁er n", "▁ ern", "▁my ster", "▁myst er", "▁prop rio", "▁propri o", "ate ful", "▁Par ent", "▁Pa rent", "▁ Parent", "▁lad ies", "ra ck", "rac k", "r ack", "ти ка", "тик а", "en burg", "▁каче стве", "▁E F", "▁ EF", "▁st am", "▁sta m", "▁nue va", "▁fil tered", "▁filter ed", "re ten", "ret en", "r eten", "▁I an", "▁Matt hew", "▁Matth ew", "ki h", "k ih", "▁ ő", "▁ком пози", "▁for ever", "▁fore ver", "oir es", "oi res", "oire s", "o ires", ":\\ \\", ": \\\\", "▁ét udes", "▁s oup", "▁so up", "▁sou p", "▁p leased", "▁please d", "▁ple ased", ")} (", ") }(", "▁S top", "▁St op", "▁Sto p", "▁ Stop", "Set ter", "S etter", "▁He lp", "▁Hel p", "▁ Help", "▁b ars", "▁bar s", "▁ba rs", "▁ bars", "▁ER R", "▁ ERR", "▁( ?", "▁ (?", "▁po etry", "▁poet ry", "▁U til", "▁Ut il", "▁ Util", "A K", "▁f ick", "▁fi ck", "▁fic k", "▁I M", "▁ IM", "▁pro ud", "▁pr oud", "но си", "нос и", "▁m uerte", "▁mu erte", "▁Palmar ès", "▁N as", "▁Na s", "щи х", "щ их", "▁qu er", "▁que r", "▁q uer", "▁ quer", "▁a penas", "▁ap enas", "][ '", "] ['", "▁Kon st", "по н", "п он", "▁Sch iff", "▁m p", "▁ mp", "▁б лаго", "fr am", "fra m", "f ram", "▁house hold", "▁t ract", "▁tr act", "▁tra ct", "▁trac t", "enc oding", "▁und ert", "▁under t", "▁ undert", "▁A ug", "▁Au g", "ов ан", "ова н", "о ван", "▁Ar ten", "▁Art en", "▁Arte n", "▁inv oked", "▁invoke d", "▁d ynast", "▁fle et", "че ство", "▁Mur ray", "▁g ut", "▁gu t", "eli hood", "▁S SH", "▁SS H", "от вет", "▁person ally", "▁personal ly", "при я", "п рия", "▁fin anci", "▁finan ci", "▁Thom pson", "al u", "a lu", "id entity", "ident ity", "▁G rab", "▁Gr ab", "▁Gra b", "add le", "É t", "▁T ob", "▁To b", "▁ver lor", "▁verl or", "▁Saint e", "▁Sa inte", "▁Sain te", "▁d op", "▁do p", "▁в ере", "▁ве ре", "▁вер е", "__ _", "_ __", "▁prom otion", "▁- =", "▁от де", "▁amb igu", "▁ ambigu", "OR DER", "ORD ER", "▁Comm unic", "▁Commun ic", "▁im ply", "▁imp ly", "▁impl y", "on ed", "one d", "o ned", "clud ing", "▁coll ision", "▁fragment s", "▁frag ments", "script ion", "scri ption", "s cription", "▁' {", "ля х", "л ях", "▁h ans", "▁ha ns", "▁han s", "у с", "wi re", "w ire", "name space", "names pace", "▁s word", "▁sw ord", "▁swo rd", "ref resh", "▁kw am", "z s", "comm ons", "common s", "▁c osa", "▁co sa", "▁cos a", "▁reg ime", "gr ep", "gre p", "g rep", "▁di oc", "▁dio c", "▁Cont act", "▁ Contact", "▁est as", "▁esta s", "▁Ste wart", "▁v iele", "▁vi ele", "▁vie le", "▁viel e", "то ва", "тов а", "т ова", "▁R an", "▁Ra n", "an nes", "ann es", "anne s", "id ay", "ida y", "i day", "▁s napshot", "▁snap shot", "or row", "orr ow", "▁za č", "▁участи е", "▁prom ised", "▁promise d", "Ass embly", "▁champion ship", "▁champions hip", "▁Def ine", "▁e ren", "▁er en", "▁ere n", "▁ eren", "▁но во", "▁н ово", "▁нов о", "▁ ново", "▁th inks", "▁think s", "▁thin ks", "Ag e", "A ge", "▁g ev", "▁ge v", "var char", "v archar", "iv ità", "com pos", "comp os", "▁M utter", "▁Mut ter", "CO NT", "CON T", "arm ée", "ag net", "agn et", "agne t", "▁B row", "▁Br ow", "▁Bro w", ". —", "▁Tele vision", "▁Д ля", "▁v m", "▁ vm", "▁or din", "▁ord in", "▁ ordin", "▁Миха й", "▁apro xim", "') ->", "' )->", "▁z oo", "▁zo o", "ip pi", "ipp i", "i ppi", "▁s ino", "▁si no", "▁sin o", "▁Qu ébec", "ra ges", "rag es", "rage s", "r ages", "ä ck", "ei ng", "ein g", "e ing", "ar lo", "pi os", "pio s", "p ios", "▁C han", "▁Ch an", "▁Cha n", "▁el li", "▁ell i", "▁ elli", "▁in cons", "▁inc ons", "▁incon s", "gest ellt", "g estellt", "pp ers", "pper s", "ppe rs", "p pers", "Je an", "anst alt", "▁D ance", "▁Dan ce", "▁to en", "▁toe n", "▁de cis", "▁dec is", "▁Ре зу", "▁official ly", "▁offici ally", "ät ze", "ätz e", "▁до ро", "▁e numer", "▁en umer", "▁enum er", "▁trois ième", "ty p", "t yp", "of fs", "off s", "бо ль", "od n", "o dn", "▁Z ar", "▁Za r", "▁дру го", "qu ia", "qui a", "▁Nicol as", "▁Nic olas", "▁Nicola s", "пи су", "пис у", "▁m ob", "▁mo b", "pa ces", "pace s", "p aces", "нь ого", "ньо го", "Al g", "A lg", "éro ï", "Error s", "Err ors", "▁г ре", "▁ гре", "▁жен щи", "in ch", "inc h", "▁Kore an", "▁Korea n", "▁A post", "▁Ap ost", "▁L iver", "▁Li ver", "▁Live r", "▁Liv er", "▁element ary", "▁D I", "▁ DI", "ви си", "▁so il", "▁D LL", "▁r isp", "▁ris p", "▁ri sp", "▁Sh akespe", "▁G aussian", "▁K urt", "▁Kur t", "▁Ku rt", "Ver tex", "Vert ex", "eb ol", "e bol", "organ isation", "är en", "äre n", "ä ren", "▁Y ES", "▁ YES", "C UR", "▁нача ль", "▁по стро", "▁пос тро", "▁Lu igi", "▁c aching", "prevent Default", "am d", "a md", "▁V it", "▁Vi t", "sub st", "su bst", "▁ст рои", "▁C ampion", "▁Camp ion", "ch r", "c hr", "фе ре", "фер е", "ф ере", "▁С писок", "N F", "▁c ím", "▁cí m", "▁h é", "▁ hé", "re bbe", "reb be", "oc y", "o cy", "be low", "bel ow", "▁by lo", "▁byl o", "▁У и", "▁\\ ({\\", "▁\\( {\\", "▁` :", "▁ `:", "gi ore", "gio re", "gior e", "g iore", "Sa n", "S an", "▁G ate", "▁Ga te", "▁в с", "▁o limp", "▁ol imp", "▁Mat rix", "▁ Matrix", "▁he aring", "▁hear ing", "ri i", "r ii", "tf rac", "t frac", "▁allem and", "▁V ue", "л н", "▁comp iling", "▁E ns", "▁En s", "▁investig ation", "▁A x", "▁ch ars", "▁char s", "▁cha rs", "▁target s", "▁tar gets", "▁l oud", "▁lo ud", "us ement", "use ment", "▁N ether", "▁Ne ther", "▁Net her", "com merce", "IG HT", "oc oa", "oco a", "if ecycle", "ife cycle", "▁Le o", "pr iv", "p riv", "▁go ods", "▁good s", "ad amente", "ada mente", "A ustral", "▁re boot", "▁reb oot", "Ge st", "G est", "▁represent ations", "▁representation s", "ce u", "c eu", "▁do ctrine", "ce rs", "cer s", "c ers", "▁K rak", "▁Kr ak", "▁Kra k", "▁adv oc", "▁squad ra", "▁arbeit ete", "üs t", "ü st", "▁p ill", "▁pi ll", "▁pil l", "An swer", "▁к віт", "▁W a", "um ann", "uman n", "uma nn", "u mann", "▁D ynam", "▁Dy nam", "Fa mil", "F amil", "▁t ennis", "▁ten nis", "▁Engine ering", "▁circ les", "▁cir cles", "▁circle s", "▁Mary land", "▁b esta", "▁be sta", "▁best a", "▁bes ta", "▁b ases", "▁bas es", "▁base s", "▁znaj du", "ктор а", "кто ра", "к тора", "▁ar rest", "▁arr est", "ле р", "л ер", "▁G ia", "▁Gi a", "▁remark able", "▁мо гу", "▁Sup reme", "▁` %", "do r", "d or", "▁au jourd", "▁w is", "WID TH", "▁mis ma", "▁mism a", "▁fl uid", "▁flu id", "▁pet ite", "▁petit e", "▁T ow", "▁To w", "Reg istry", "em ed", "eme d", "e med", "▁Wis consin", "▁R acing", "▁Ra cing", "▁reg istration", "▁registr ation", "/ %", "th ird", "▁mon uments", "▁monument s", "че й", "ч ей", "▁j et", "▁je t", "▁ jet", "▁Ur ban", "ál va", "▁mil ieu", "▁poss ess", "▁g erm", "▁ge rm", "▁ger m", "dep endencies", "▁enem ies", "▁s amen", "▁sa men", "▁same n", "▁sam en", "▁W erner", "▁Wer ner", "▁h izo", "▁hi zo", "▁t d", "▁ td", "▁y esterday", "▁А д", "▁ha sn", "▁has n", "cel lation", "cell ation", "ov ání", "ová ní", "li ka", "lik a", "l ika", "We ek", "▁I ng", "▁In g", "▁E mail", "▁Em ail", "▁ Email", "▁m ètres", "▁O CLC", "▁among st", "▁spl end", "fu r", "f ur", "ant ics", "anti cs", "antic s", "▁X XX", "▁XX X", "▁ XXX", "▁груп пы", "la ch", "lac h", "l ach", "▁c ousin", "▁cou sin", "▁in variant", "▁invari ant", "ђ у", "▁Be ispiel", "▁Bei spiel", "▁hard er", "▁har der", "▁b ell", "▁be ll", "▁bel l", "▁ bell", "▁or ch", "▁ orch", "t b", "Foot note", "re gon", "reg on", "Mart in", "▁in con", "▁inc on", "▁attack ed", "_{ -", "_ {-", "▁T ras", "▁Tr as", "▁Tra s", "par ty", "part y", "ite it", "▁s aint", "▁sa int", "▁sain t", "rás ok", "r ások", "▁contain ers", "▁container s", "M o", "▁S n", "quant ity", "▁r as", "▁ra s", "▁ ras", "▁C anal", "▁Can al", "▁Ca nal", "cc ion", "c cion", "uv o", "u vo", "▁i dx", "▁id x", "▁ idx", "type name", "typen ame", "typ ename", "▁R ugby", "▁Se ems", "▁See ms", "▁trans mit", "▁transm it", "▁Pr äsident", "з не", "▁B aker", "▁Ba ker", "▁Bak er", "in th", "int h", "i nth", "▁tö bb", "ver ein", "vere in", "▁espe cie", "▁espec ie", ", (", "▁t éc", "▁té c", "▁W ITH", "▁u nos", "▁un os", "▁uno s", "▁ unos", "▁polit ics", "create Element", "▁st ats", "▁stat s", "▁sta ts", "▁ stats", "▁T ennessee", "▁Bedeut ung", "▁S creen", "▁Sc reen", "▁ Screen", "▁Stra ße", "an ze", "anz e", "▁part ly", "man uel", "ol ation", "ola tion", "o lation", "hor izontal", "érie ure", "érieur e", "am pio", "amp io", "▁ст рук", "▁ струк", "We ight", "La nd", "L and", "po ly", "pol y", "p oly", "▁D ak", "▁Da k", "▁Ass ume", "\". $", "\" .$", "▁c asi", "▁cas i", "▁ca si", "▁g ross", "▁gr oss", "▁gro ss", "▁gros s", "▁ent ertain", "▁enter tain", "▁déc ada", "'. $", "' .$", "en cer", "ence r", "enc er", "▁guarante ed", "▁guarantee d", "]$ .", "] $.", "ли ся", "▁accept able", "ra ise", "rai se", "rais e", "ir us", "i rus", "we it", "wei t", "▁А на", "▁Ан а", "▁h ills", "▁hill s", "ip age", "i page", "BI T", "B IT", "▁nu cle", "▁nuc le", "▁ut ilis", "▁util is", "CA A", "C AA", "ène s", "èn es", "è nes", "▁Schwe iz", "▁A A", "▁ AA", "ning er", "n inger", "▁b ands", "▁band s", "▁ban ds", "▁t ender", "▁te nder", "▁ten der", "▁tend er", "so m", "s om", "W arning", "▁B ischof", "▁A rc", "▁Ar c", "▁W oman", "▁Wo man", "▁trans mission", "▁transm ission", "ч ни", "is tre", "ist re", "istr e", "i stre", "B Y", "▁S I", "▁ SI", "▁П ар", "▁Па р", "▁} ).", "▁}) .", "▁ }).", "▁present a", "▁pres enta", "▁Re né", "▁Ren é", "▁happ iness", "▁P unk", "col s", "co ls", "c ols", "▁Des de", "рё х", "▁м она", "▁мо на", "▁scr atch", "▁t cp", "▁ tcp", "ête s", "êt es", "ê tes", "it ated", "ita ted", "itat ed", "itate d", "▁dif eren", "▁difer en", "ge h", "g eh", "na hmen", "nah men", "nahme n", "nahm en", "П е", "ck i", "c ki", "▁Te atro", "▁Re member", "▁Rem ember", "▁f right", "▁fr ight", "▁Y am", "▁Ya m", "west ern", "le ted", "let ed", "lete d", "▁в стре", "▁вс тре", "▁telep ülés", "зи н", "з ин", "▁Qu ant", "▁ Quant", "▁su pre", "▁sup re", "áj a", "á ja", "ді я", "д ія", "▁car rera", "▁carre ra", "kre t", "kr et", "k ret", "par a", "pa ra", "p ara", "▁S UM", "▁SU M", "▁ SUM", "▁p it", "▁pi t", "▁ pit", "ź dz", "é o", "ре ння", "рен ня", "▁C hor", "▁Ch or", "▁Cho r", "▁vo ix", "▁exec utive", "▁execut ive", "▁all erdings", "May be", "▁д ень", "▁де нь", "▁f lying", "▁fl ying", "▁fly ing", "▁par liament", "жда н", "ж дан", "▁f ram", "▁fr am", "▁fra m", "▁ fram", "▁жов т", "▁u gly", "▁бу ду", "ig ny", "ign y", "\\| _{", "\\ |_{", "▁b itter", "▁bit ter", "sc e", "s ce", "▁p ole", "▁po le", "▁pol e", "▁ pole", "Ver lag", "▁total ité", "▁found ation", "j t", "▁s lice", "▁sl ice", "▁sli ce", "▁ slice", "if ique", "ifi que", "▁integr ate", "▁integra te", "st rij", "str ij", "▁asym pt", "▁е му", "▁pert urb", "▁F low", "▁Fl ow", "▁Flo w", "▁ Flow", "jb oss", "RI G", "R IG", "▁A less", "▁Al ess", "▁Ale ss", "XX X", "X XX", "▁s umm", "▁su mm", "▁sum m", "sql ite", "▁che er", "pr ob", "pro b", "p rob", "▁G PU", "▁GP U", "zi ł", "z ił", "(* )", "( *)", "▁in duct", "▁ind uct", "▁indu ct", "RA Y", "bl att", "bla tt", "qu esta", "que sta", "quest a", "ques ta", "or u", "o ru", "▁In side", "▁Ins ide", "▁Mc G", "▁N ep", "▁Ne p", "м п", "▁in ve", "▁inv e", "▁An imal", "▁Anim al", "▁s ob", "▁so b", "▁ sob", "ít ott", "loy ment", "▁b und", "▁bu nd", "▁ bund", "St ation", "Stat ion", "▁B EGIN", "▁part iellement", "ig g", "i gg", "est ore", "esto re", "e store", "▁co inc", "▁coin c", "▁Som mer", "▁m d", "▁ md", "▁loc ked", "▁lock ed", "▁ locked", "math char", "ar ma", "arm a", "pe nt", "pen t", "p ent", "ar ium", "ari um", "a rium", "▁e ars", "▁ear s", "▁ ears", "▁S ongs", "▁Son gs", "▁Song s", "▁similar ly", "▁liter ally", "▁literal ly", "▁in ches", "▁inc hes", "▁af fection", "▁aff ection", "▁affect ion", "l p", "▁con cluded", "▁conclude d", "▁му ніципалі", "▁па мя", "est aur", "esta ur", "▁J osh", "▁Jo sh", "▁Jos h", "▁F ritz", "▁Fr itz", "▁Fri tz", "DB C", "D BC", "д ён", "pos a", "po sa", "p osa", "▁gold en", "▁gol den", "▁p c", "▁ pc", "▁com te", "▁Z iel", "▁Zie l", "▁prés ente", "▁présent e", "mar ks", "mark s", "m arks", "ig neur", "ign eur", "igne ur", "▁D rive", "▁Dr ive", "▁neg lect", "▁roz p", "▁F ive", "sp aces", "space s", "s paces", "▁M edi", "▁Me di", "▁Med i", "▁ex isted", "▁exist ed", "▁existe d", "▁by ła", "▁był a", "дж и", "д жи", "▁fr ente", "т ник", "od d", "o dd", "▁answer ing", "bi an", "bia n", "b ian", "▁E ugen", "▁Eu gen", "▁Eug en", "▁Public ations", "▁Pub lications", "▁D ia", "▁Di a", "l á", "▁' _", "▁ '_", "▁rec uper", "ом у", "о му", "▁App end", "▁Ap pend", "▁ Append", "ob ar", "oba r", "o bar", "▁employ ees", "▁employee s", "▁comp ens", "eme tery", "emet ery", "▁э лект", "MO N", "M ON", "ol in", "oli n", "o lin", "▁histor ic", "hi s", "h is", "ą d", "n m", "▁G oth", "▁Go th", "▁Got h", "▁st ress", "▁str ess", "▁stre ss", "▁parte cip", "▁A w", "▁s ar", "▁sa r", "▁h u", "▁ hu", "▁mat plotlib", "▁M yst", "▁My st", "▁Mys t", "() ;`", "(); `", "( );`", "sch ein", "sc hein", "sche in", "Long rightarrow", "▁р я", "▁ ря", "▁Is ra", "[ ^", "no u", "n ou", "▁syn d", "▁sy nd", "work ing", "wor king", "▁N ation", "▁Na tion", "▁Nat ion", "▁P ent", "▁Pe nt", "▁Pen t", "▁k lass", "▁kl ass", "▁klas s", "▁applic able", "▁D iam", "▁Di am", "▁Dia m", "▁bras ile", "▁p ac", "▁pa c", "▁He ight", "▁ Height", "P ut", "▁int ro", "▁intr o", "▁ intro", "▁unus ual", "na s", "n as", "▁Geb äude", "▁be am", "▁R ect", "▁Re ct", "▁Rec t", "▁ Rect", "▁Prim era", "▁Prime ra", "▁h aut", "▁ha ut", "▁t rait", "▁tr ait", "▁tra it", "prü ft", "in ación", "ina ción", "▁configuration s", "▁configur ations", "▁g ilt", "▁gi lt", "▁territ oire", "he z", "h ez", "▁al te", "▁alt e", "rel ative", "Ex cel", "▁W right", "G V", "по ли", "пол и", "Qu ant", "▁ga uge", "▁gau ge", "▁multi ply", "▁multip ly", "AS S", "A SS", "ствен но", "ан у", "а ну", "▁j eden", "▁je den", "▁jed en", "▁liter ary", "▁D ro", "▁Dr o", "▁adv ise", "▁advis e", "it zen", "itz en", "▁dis ag", "web site", "▁д ія", "▁ді я", "▁ дія", "▁ob server", "▁obser ver", "▁observ er", "▁observe r", "▁janu ár", "v ě", "ku p", "k up", "▁S es", "▁Se s", "▁woj ew", "▁st ages", "▁stage s", "▁sta ges", "▁stag es", "▁вре мени", "▁време ни", "łu ż", "но с", "н ос", "Down load", "ip o", "i po", "▁g raf", "▁gr af", "▁gra f", "▁ро бо", "▁Nik ol", "▁Ni kol", "▁f ic", "▁fi c", "▁ fic", "▁jo ining", "▁join ing", "▁divers os", "▁LI KE", "▁F itz", "▁d imin", "▁di min", "▁dim in", "▁dist rib", "Sa m", "S am", "ko z", "k oz", "▁al phabet", "▁alpha bet", "os er", "ose r", "o ser", "OU R", "O UR", "uk a", "u ka", "ка я", "▁ste el", "▁` --", "▁`- -", "▁t ener", "▁te ner", "▁ten er", "mar ker", "mark er", "▁He aven", "new command", "▁prison ers", "▁prisoner s", "▁K night", "▁Kn ight", "▁present s", "▁pres ents", "▁qu esti", "▁quest i", "▁tr ains", "▁tra ins", "▁train s", "op era", "ope ra", "oper a", "▁Li near", "▁Lin ear", "▁Line ar", "▁ Linear", "▁M E", "▁ ME", "▁B uc", "▁Bu c", "Le g", "L eg", "▁ag ua", "▁ agua", "▁Gr iff", "ol g", "o lg", "ds t", "d st", ". \r", "▁person es", "▁pers ones", "▁persone s", "Ma l", "M al", "бе ре", "бер е", "б ере", "fol ge", "folg e", "▁ac ab", "ct u", "c tu", "pt ic", "▁N avigation", "▁ Navigation", "R uss", "га ль", "г аль", "▁F ul", "▁Fu l", "▁ма є", "чна я", "ч ная", "wn er", "w ner", "con tra", "cont ra", "contr a", "▁jou eur", "▁joue ur", "▁J ess", "▁Je ss", "▁Jes s", "▁re new", "▁ren ew", "▁l ap", "▁la p", "▁ lap", "▁cas ting", "▁cast ing", "ga l", "g al", "▁tém atu", "▁на зыва", "за х", "ч не", ")- \\", ") -\\", "▁ча сто", "▁час то", "▁част о", "}$ -", "} $-", "▁l icz", "▁li cz", "▁lic z", "▁e mot", "▁em ot", "ha rm", "har m", "h arm", "▁occasion ally", "▁hor ror", "▁ho rror", "ea st", "e ast", "▁pr inter", "▁print er", "▁prin ter", "ar an", "ara n", "a ran", "▁Miss iss", "fol low", "f ollow", "▁Bar ry", "▁investig ate", "go w", "g ow", "▁Amer icans", "▁American s", "▁America ns", "S ince", "▁від о", "▁ві до", "▁re un", "os ci", "osc i", "o sci", "▁Ch apter", "▁Chap ter", "▁b ay", "▁ba y", "▁ bay", "ро ме", "ром е", "et he", "eth e", "e the", "éd ie", "é die", "com ot", "co mot", "como t", "▁miejs cowo", "▁stud ierte", "▁studi erte", "ou vert", "ouv ert", "ouve rt", "ouver t", "▁к ур", "▁ку р", "▁ кур", "▁DE SC", "▁DES C", "▁touch ed", "▁tou ched", "▁Jer ry", "ue se", "ues e", "u ese", "ли ще", "auth entication", "authentic ation", "▁col le", "▁co lle", "▁coll e", "he art", "▁reg iment", "▁regime nt", "cri bed", "cribe d", "▁Бо ль", "▁про ис", "ce ae", "▁mass es", "▁sc rolling", "▁scroll ing", "us to", "ust o", "u sto", "S W", "ov at", "ova t", "o vat", "▁gr âce", "▁Архи в", "▁Се вер", "av ait", "ava it", "▁Marsh all", "▁Mars hall", "▁Hash Map", "▁ HashMap", "ac on", "aco n", "a con", "ück en", "ücke n", "ü cken", "[] )", "[ ])", "▁ev angel", "et zung", "etz ung", "tt emberg", "st ers", "ste rs", "ster s", "s ters", "T M", "▁ли тера", "qu ot", "Pr ed", "Pre d", "P red", "▁w erk", "▁wer k", "▁ werk", "▁ha ber", "▁hab er", "▁habe r", "la va", "lav a", "l ava", "vo us", "v ous", "▁L ate", "▁La te", "▁Lat e", "cy cle", "cyc le", "c ycle", "ти рова", "▁про ду", "▁прод у", "▁pop ulations", "▁population s", "▁popul ations", "▁Y an", "▁Ya n", "Pre fix", "P refix", "actér istiques", "+ '", "() `](", "()` ](", "▁Л ь", "фи ль", "▁жи зни", "ft p", "f tp", "▁все х", "▁g dzie", "▁v idea", "▁vid ea", "▁vide a", "oa uth", "o auth", "▁p id", "▁pi d", "▁ pid", "ů m", "▁p esso", "▁pes so", "▁track ing", "▁trac king", "iz in", "izi n", "i zin", "▁Mor ris", "щи й", "▁Provin z", "▁M itte", "▁Mit te", "▁Mi tte", "▁Mitt e", "▁artific ial", "bráz ky", "▁до сти", "▁rest ored", "▁restore d", "▁resto red", "▁commun icate", "▁communic ate", "ag it", "agi t", "a git", "Rec ogn", "▁l on", "▁lo n", "▁ lon", "▁за ня", "▁зан я", "▁Arg ument", "▁ Argument", "fl ush", "flu sh", "ма на", "ман а", "м ана", "sec onds", "second s", "U C", "▁R uth", "▁Ru th", "▁t ub", "▁tu b", "▁B ret", "▁Br et", "▁Bre t", "▁P ere", "▁Per e", "▁Pe re", "▁respons ibility", "ńcz y", "ń czy", "▁environment s", "▁environ ments", "ke e", "k ee", "▁g root", "▁gr oot", "▁gro ot", "▁pain ted", "▁paint ed", "▁Éd itions", "cp y", "c py", "ár t", "á rt", "lich keit", "ar da", "ard a", "B atch", "▁Leop old", "re ason", "rea son", "reas on", "n oreferrer", "se ns", "sen s", "s ens", "▁ro cks", "▁rock s", "▁Hit ler", "ла т", "л ат", "▁qu oted", "▁quot ed", "▁quote d", "▁ко лле", "▁у ров", "ba g", "b ag", ".\" )", ". \")", "▁M L", "▁ ML", "▁kom t", "▁ko mt", "▁[ _", "▁ [_", "▁spect ral", "ed o", "e do", "▁in sieme", "▁suffer ing", "▁suff ering", "sl ider", "slide r", "▁Kenn edy", "ol ate", "ola te", "o late", "▁P atri", "▁Pa tri", "▁Pat ri", "зи и", "O H", "▁те а", "▁пра ва", "▁прав а", "ма х", "re write", "rew rite", "r ewrite", "▁Eins atz", "ex ternal", "ext ernal", "hol ds", "hold s", "h olds", "▁P laces", "▁Pl aces", "▁Pla ces", "▁Place s", "at ype", "aty pe", "a type", "▁vul ner", "▁abandon ed", "Or igin", "Ori gin", "▁max imal", "▁maxim al", "AA AA", "▁Base ball", "▁C lose", "▁Cl ose", "▁Clo se", "▁ Close", "▁pa inter", "▁pain ter", "▁paint er", "▁assign ing", "N B", "bl ast", "bla st", "b last", "▁K ünstler", ")] (", ") ](", "fa ch", "fac h", "f ach", "▁Const antin", "▁Constant in", "ok es", "oke s", "o kes", "▁no body", "▁nob ody", "▁subt ract", "▁fos se", "▁foss e", "▁cert ific", "▁m use", "▁mus e", "▁mu se", "/) ,", "/ ),", "▁Pro fil", "▁Prof il", "▁pro xim", "▁Jer usalem", "▁simp licity", "▁simpl icity", "▁w sz", "▁ws z", "NUM BER", "utt avia", "U ITableView", "ich ter", "icht er", "ichte r", "i chter", "жа н", "ж ан", "▁L av", "▁La v", "it chen", "itch en", "▁Ч ем", "▁Че м", "T u", "▁ge om", "▁zv uky", "▁Sur vey", "AN CE", "▁enc rypted", "▁encrypt ed", "pr of", "pro f", "▁d are", "▁da re", "▁dar e", "▁L oren", "▁Lo ren", "▁Lor en", "т в", "▁А лек", "▁Ал ек", "▁comput ers", "▁computer s", "▁compute rs", "▁expect ation", "▁substant ial", "▁Д ми", "▁` {", "▁д ра", "▁др а", "▁ дра", "ub ble", "▁per forms", "▁perform s", "▁Kr ieg", "▁Krie g", "▁in coming", "▁inc oming", "▁Class ification", "Web View", "▁epis odes", "▁episode s", "ap per", "app er", "appe r", "a pper", "äu fig", "▁gi ov", "▁De part", "▁Dep art", "бо ра", "бор а", "ed ly", "os pod", "osp od", "▁p tr", "▁pt r", "▁ ptr", "▁d átum", "▁est imation", "▁estim ation", "ic ole", "ico le", "icol e", "i cole", "▁- ---", "▁-- --", "▁--- -", "▁ ----", "▁prin ces", "▁prince s", "HE AD", "▁diff usion", "▁diffus ion", "▁d rie", "▁dr ie", "▁dri e", "▁A da", "▁Ad a", "ни це", "ниц е", "ng inx", "n ginx", "sh al", "sha l", "s hal", "▁febru ari", "▁T at", "▁Ta t", "lo oking", "look ing", "ku nd", "k und", "▁De an", "m ongodb", "вши х", "в ших", "▁A ur", "▁Au r", "▁Fl ora", "▁Flor a", "▁Flo ra", "▁Stud ios", "▁Studio s", "ци је", "ei l", "e il", "Inst all", "▁f ranch", "▁fr anch", "▁fran ch", "▁franc h", "▁H MS", "▁pract ices", "▁practice s", "le j", "l ej", "da le", "dal e", "d ale", "▁po ste", "▁pos te", "▁post e", "▁H els", "▁He ls", "▁Hel s", "▁reli able", "źdz ier", "▁ver se", "▁vers e", "▁ verse", "er meister", "erme ister", "▁qu it", "▁qui t", "▁q uit", "▁ quit", "ét ico", "il is", "ili s", "i lis", "ed or", "edo r", "e dor", "▁Cult ural", "▁Cultura l", "дж е", "д же", "▁li ked", "▁like d", "▁lik ed", "▁m ongodb", "▁mongo db", "▁ mongodb", "▁Broad way", "▁I R", "▁ IR", "es zt", "esz t", "ho v", "h ov", "▁m íst", "▁mí st", "re iche", "reich e", "rei che", "▁k B", "ст ом", "сто м", "с том", "▁SQL ite", "▁tor neo", "\\ .", "Or d", "O rd", "▁Admin istration", "▁Administr ation", "▁з да", "▁ зда", "▁H inter", "▁Hin ter", "▁V ia", "▁Vi a", "Dec imal", "or ious", "ori ous", "orio us", "▁nécess aire", "w x", "▁t ej", "▁te j", "▁t ema", "▁te ma", "▁tem a", "O brázky", "ри те", "рит е", "▁build s", "▁l aten", "▁la ten", "▁lat en", "▁late n", "▁г г", "Vis ibility", "lä u", "l äu", "▁se chs", "▁sec hs", "▁лу ч", "ce ra", "cer a", "c era", "Co uld", "C ould", "▁tra ject", "}} ^{", "}}^ {", "} }^{", "▁Jap on", "▁Ja pon", "an other", "ano ther", "I K", "▁belong ing", "▁fac ilities", "▁facil ities", "▁D aily", "▁Da ily", "▁de ce", "▁dec e", "int ro", "▁слу ча", "Name space", "Names pace", "▁B ak", "▁Ba k", "loc ale", "local e", "U G", "=$ {", "= ${", "▁comp añ", "ją c", "j ąc", "▁ar ithmetic", "fo rum", "for um", "f orum", "▁por ta", "▁port a", "on k", "▁g ender", "▁ge nder", "▁gen der", "▁ gender", "▁expect s", "б ка", "▁n ak", "▁na k", "▁ nak", "▁G race", "▁Gr ace", "▁Gra ce", "▁st ro", "▁str o", "ivid ual", "▁C OM", "▁CO M", "▁ COM", "▁F arm", "▁Fa rm", "▁Far m", "▁c anton", "▁can ton", "▁cant on", "то му", "том у", "т ому", "java x", "jav ax", "се й", "с ей", "▁brief ly", "Fa ce", "F ace", "rot ate", "const ant", "▁g allery", "▁gall ery", "ast ro", "astr o", "all ery", "alle ry", "aller y", "▁D J", "char ge", "charg e", "ходи ть", "ходит ь", "C ent", "\\\" ,", "\\ \",", "▁d onna", "▁don na", "▁donn a", "ar ca", "arc a", "la de", "lad e", "l ade", "zi n", "z in", "▁N ed", "▁Ne d", "▁host ing", "▁hos ting", "id or", "ido r", "i dor", "it ative", "itat ive", "ig s", "i gs", "▁п ря", "▁пр я", "▁t icket", "▁tick et", "▁ti cket", "▁stud ying", "▁study ing", "▁des igner", "▁design er", "lap sed", "lapse d", "laps ed", "l apsed", "▁la at", "▁d ix", "▁di x", "▁integr ated", "▁integrate d", "▁integra ted", "▁in formed", "▁inform ed", "▁be have", "▁beh ave", "▁behav e", "▁la bour", "▁lab our", "est ellt", "cal endar", "▁k illing", "▁kil ling", "▁kill ing", "▁tw itter", "▁ twitter", "ia e", "i ae", "▁histor ique", "DE FAULT", "ia ła", "iał a", "i ała", "▁theoret ical", "▁un ders", "▁und ers", "▁under s", "ля ет", "at an", "ata n", "a tan", "▁s urname", "▁sur name", "▁inter cept", "гла сно", "▁општи ни", "▁t ired", "▁tir ed", "▁ti red", "▁B eth", "▁Be th", "▁Bet h", "▁ад министратив", "L i", "▁Т ур", "▁Ту р", "▁Sc anner", "▁S tern", "▁St ern", "▁Ste rn", "▁Ster n", "▁вме сте", "▁report ing", "▁s ull", "▁su ll", "▁sul l", "ци ей", "ber ts", "bert s", "og onal", "ogo nal", "ő k", "▁i psum", "▁ip sum", "▁seu lement", "▁seul ement", "▁seule ment", "▁Se iten", "▁Seit en", "▁Seite n", "word press", "▁fe aturing", "ist ischen", "isti schen", "istische n", "ju b", "j ub", "▁é tr", "▁ét r", "▁ étr", "▁t ea", "▁te a", "▁adapt ed", "▁sc ales", "▁scale s", "▁scal es", "▁n an", "▁na n", "▁ nan", "get Value", "▁Bl ues", "▁Blue s", "ac les", "acle s", "a cles", "▁st ati", "▁stat i", "▁sta ti", "▁ent itled", "▁R alph", "gra vity", "▁entre pr", "któ ber", "li mat", "lim at", "l imat", "li s", "l is", "De mo", "D emo", "re lation", "rel ation", "▁n ep", "▁ne p", "pro wad", "it is", "iti s", "i tis", "▁p up", "▁pu p", "neh mer", "nehm er", "▁disapp oint", "▁et was", "▁etwa s", "an non", "ann on", "anno n", "▁appro ved", "▁cl ever", "▁cle ver", "Lo ading", "Load ing", "▁ver z", "▁ve rz", "res se", "ress e", "r esse", "▁insp ir", "▁sam pling", "▁B ek", "▁Be k", "}) $.", "})$ .", "} )$.", "▁г рома", "▁spe cie", "▁spec ie", "▁re pub", "▁rep ub", "▁lo ader", "▁load er", "▁ loader", "▁e rf", "▁er f", "▁should er", "ra is", "rai s", "r ais", "▁ма те", "▁мат е", "▁Mon th", "▁Mont h", "▁Mo nth", "▁ Month", "Sc ene", "▁block ing", "▁o cean", "ge ben", "geb en", "g eben", "▁Kil ometer", "▁b edeut", "▁M ix", "▁Mi x", "fm t", "f mt", "▁Nor weg", "▁ID s", "par allel", "▁ant icip", "▁anti cip", "▁re vis", "▁rev is", "ха н", "х ан", "▁с вет", "▁све т", "CA SE", "C ASE", "▁f ührt", "▁führ t", "▁ führt", "▁at omic", "▁atom ic", "▁ atomic", "▁dark ness", "▁Fußball spieler", "▁Ж и", "quis ition", "▁S ieg", "▁Sie g", "▁Si eg", "C irc", "▁c ientí", "ne lle", "nel le", "nell e", "n elle", "SH A", "S HA", "▁u rb", "▁ur b", "▁ urb", "▁k si", "leq slant", "▁ф рон", "▁de fect", "▁def ect", "▁defe ct", "▁r á", "▁ rá", "▁strong er", "▁p ł", "▁commun ities", "ни на", "нин а", "en as", "ena s", "e nas", "ienne nt", "ienn ent", "▁safe ly", "▁saf ely", "▁т я", "▁ тя", "▁ben chmark", "▁Bra un", "method s", "arg ument", "vo s", "v os", "ob ox", "o box", "ро ви", "ров и", "р ови", "▁recher che", "m n", "▁br ings", "▁bring s", "m achine", "CE SS", "CES S", "host s", "hos ts", "▁N Y", "Aut ow", "Auto w", "▁сов ремен", "▁G ary", "▁Gar y", "▁Ga ry", "▁s ensor", "▁sens or", "▁document ed", "▁pr endre", "▁prend re", "▁pe er", "en ix", "eni x", "ha i", "h ai", "ar be", "цен т", "ц ент", "_ (", "▁U RI", "▁ URI", "ев а", "е ва", "▁Re gie", "▁Reg ie", "▁Mon ument", "▁onder werp", "B ag", "ti t", "t it", "▁st ir", "▁n erv", "▁ne rv", "▁ner v", "стор ія", "▁s ov", "▁so v", "▁writ ers", "▁write rs", "▁writer s", "▁sort s", "▁sor ts", "ab solute", "▁difficult ies", "▁par lament", "▁parl ament", "▁IE numerable", "▁dis sol", "▁diss ol", "▁CH ECK", "ar ina", "ari na", "arin a", "in burgh", "D M", "▁e ind", "▁ein d", "▁bud get", "▁cert ains", "▁certain s", "▁för sta", "▁först a", "an ja", "a nja", "▁го дов", "▁год ов", "▁т ек", "▁те к", "▁ тек", "▁D uch", "▁Du ch", "▁Duc h", "gu i", "g ui", "▁Te ams", "▁Team s", "▁мно ги", "Mar ie", "Ma rie", "M arie", "In tegr", "Int egr", "Thread Pool", "ru st", "rus t", "r ust", "í k", "% \"", "en f", "sp l", "s pl", "▁be gun", "▁beg un", "lo u", "l ou", "▁Rewrite Rule", "tu ple", "ane ous", "▁mar ine", "▁mari ne", "▁ marine", "at tan", "att an", "atta n", "ik al", "ika l", "i kal", "▁gradu ated", "il lé", "ill é", "▁про ве", "▁пров е", "▁пр ове", "▁Р оз", "▁Ро з", "', \r", "' ,\r", "▁Pf arr", "▁n ivel", "▁ni vel", "▁пра цю", "mus ic", "▁set Timeout", "ER S", "E RS", "▁E rik", "▁Er ik", "pi t", "p it", "▁Х ро", "▁p ił", "▁pi ł", "▁p eri", "▁per i", "▁pe ri", "до к", "д ок", "us zt", "usz t", "▁B ear", "▁Be ar", "Class Name", "▁Par lament", "▁a ix", "▁ai x", "▁inv ited", "▁P ATH", "▁PA TH", "▁ PATH", "xt er", "x ter", "▁R ace", "▁Ra ce", "▁h echo", "▁he cho", "▁T ower", "▁To wer", "▁Tow er", "▁u tf", "▁ut f", "▁ utf", "act ly", "▁бу де", "▁ang les", "▁angle s", "▁ angles", "ня я", "ouv elles", "ouve lles", "ouvel les", "ouvelle s", "▁cl imate", "▁cli mate", "▁clim ate", "▁sing ing", "▁sin ging", "▁navig ate", ">' ;", "> ';", "ad ows", "ado ws", "adow s", "▁l eta", "▁le ta", "▁let a", "▁S itz", "▁Si tz", "▁Sit z", "▁part itions", "▁partition s", "▁d ock", "▁do ck", "▁doc k", "▁ż y", "▁ ży", "▁alloc ate", "▁benef its", "▁benefit s", "▁n ieder", "▁nie der", "▁ni eder", "xp ath", "x path", "me ck", "äl le", "äll e", "ä lle", "▁cou pling", "▁coup ling", "жи л", "ж ил", "For Key", "ar gent", "arg ent", "cl ou", "clo u", "c lou", "▁instru ments", "▁instrument s", "▁ent hus", "▁m ég", "▁mé g", "▁Па в", "▁R ach", "▁Ra ch", "-- ---", "---- -", "--- --", "- ----", "▁API s", "▁AP Is", "▁V ier", "▁Vi er", "▁Vie r", "C md", "it ore", "ito re", "itor e", "▁C uba", "▁Cu ba", "▁Cub a", "▁dátum mal", "▁embed ding", "std io", "▁Gil bert", "▁ge prüft", "▁st ating", "▁stat ing", "▁sta ting", "▁stati ng", "▁trigger s", "▁trig gers", "+ =", "▁spé cial", "▁del iber", "▁deli ber", "ми н", "м ин", "Pro du", "Pr odu", "P rodu", "▁St ati", "▁Stat i", "▁Sta ti", "▁z us", "▁zu s", "kt ionen", "ktion en", "Dispatch er", "id al", "ida l", "i dal", "▁L P", "▁ LP", "op tera", "opt era", "opter a", "▁e star", "▁est ar", "▁es tar", "▁esta r", "▁зна чи", "с мо", "ous es", "ouse s", "o uses", "eng ono", "engo no", "▁W PF", "pub lish", "▁t eor", "▁te or", "el if", "eli f", "▁e rg", "▁er g", "▁ erg", "▁separ ation", "Pa n", "P an", "▁Or chestra", "Pe ter", "P eter", "bound s", "b ounds", "▁Shakespe are", "▁cant ante", "▁d emi", "▁de mi", "▁dem i", "▁Pop ular", "ф р", "ar ring", "arr ing", "ци н", "ц ин", "▁И с", "vo n", "v on", "▁subst itution", "▁lí nea", "\\}$ .", "\\} $.", "\\ }$.", "com o", "co mo", "c omo", "▁ва ж", "wa gen", "w agen", "▁rare ly", "▁period s", "▁peri ods", "gl ob", "g lob", "▁F rid", "▁Fr id", "▁Fri d", "▁T err", "▁Te rr", "▁Ter r", "▁Re lease", "▁ Release", "Brain z", "▁гра ф", "▁ граф", "DI S", "D IS", "compat ible", "▁po č", "LI N", "L IN", "▁K ällor", "▁A rizona", "pp y", "p py", "Se q", "S eq", "▁A in", "▁T ourn", "▁To urn", "▁Tour n", "br ow", "bro w", "b row", "▁K ör", "▁Kö r", "▁a sh", "▁as h", "▁ ash", "ogene ous", "▁dia lect", "▁насе ља", "mysql i", "mysq li", "цо в", "ц ов", "▁f lor", "▁fl or", "▁flo r", "▁ф ло", "IA B", "I AB", "▁With in", "▁Wit hin", "^ (", "▁b ois", "▁bo is", "▁t ank", "▁tan k", "▁aff ili", "▁h ijo", "▁hij o", "▁hi jo", "▁K ate", "▁Kat e", "▁Ka te", "▁Ver l", "▁Ve rl", "▁M iami", "▁Mi ami", "▁type script", "▁types cript", "њ у", "▁V ern", "▁Ver n", "▁Ve rn", "▁ви со", "ie mann", "iem ann", "i emann", "▁co verage", "▁cover age", "br ie", "b rie", "▁Start ing", "▁Star ting", "num py", "▁J enkins", "▁Jen kins", "▁k ét", "▁ké t", "▁g rup", "▁gr up", "▁gru p", "▁S cient", "▁Sc ient", "▁Sci ent", "▁inter rupt", "▁b lob", "▁bl ob", "▁blo b", "▁ blob", "ug el", "uge l", "u gel", "▁Or th", "▁Ort h", "ab ama", "aba ma", "▁B apt", "▁Ba pt", "ow nik", "own ik", "▁бы ть", "▁Jul ius", "▁Ju lius", "▁Juli us", "▁П рез", "▁Пре з", "▁subst itute", "support ed", "supp orted", "ch y", "c hy", "egy zetek", "▁Per formance", "▁Perform ance", "less ly", "Con structor", "▁ext ending", "▁extend ing", "▁Mus lim", "Over flow", "▁J enn", "▁Je nn", "▁Jen n", "▁produ z", "▁prod uz", "мі ї", "м ії", "▁país es", "▁e ux", "▁eu x", "▁f ate", "▁fa te", "▁fat e", "ol oge", "olog e", "olo ge", "у к", "▁wo bei", "▁wob ei", "▁S achsen", "▁Sach sen", "▁са йт", "▁сай т", "Mod els", "Model s", "Mode ls", "▁F ast", "▁Fa st", "bes ondere", "▁F R", "▁ FR", "▁a con", "▁ac on", "▁ acon", "▁Den kmal", "▁an ch", "▁anc h", "▁ anch", "▁públic o", "▁T as", "▁Ta s", "▁c and", "▁can d", "▁ca nd", "▁pa ździer", "▁М он", "▁Мо н", "▁vers us", "ru t", "r ut", "G T", "▁insert ing", "▁inser ting", "▁can ad", "▁ca nad", "є м", "▁M etro", "▁Met ro", "▁Herz og", "Ign ore", "▁decre ase", "▁п ун", "▁пу н", "▁F ischer", "▁M all", "▁Ma ll", "▁Mal l", "▁n örd", "io stream", "i ostream", "▁Lux emb", "pay load", "▁Ze itung", "▁Zeit ung", "▁mod ifying", "▁modify ing", "▁C her", "▁Ch er", "▁Che r", "▁Lu ci", "▁Luc i", "n x", "▁lo ose", "▁top ics", "▁topic s", "▁var ied", "▁vari ed", "▁va ried", "▁p g", "▁ pg", "aj es", "aje s", "a jes", "um m", "u mm", "View s", "▁B eau", "▁Be au", "MA P", "M AP", "ip eline", "ipe line", "▁Inter est", "ar ith", "ari th", "▁seg ún", "▁Geme ins", "▁Att ribute", "▁ Attribute", "comm unity", "▁цент р", "▁kil ometer", "▁kilomet er", "▁kilom eter", "▁é conom", "▁éc onom", "lar ation", "▁к ъ", "▁car riage", "▁carri age", "▁L ane", "▁La ne", "▁Lan e", "▁не об", "ku r", "k ur", "▁A F", "▁ AF", "IN TER", "INT ER", ")) $", ") )$", "▁be ide", "▁bei de", "dest ination", "▁font s", "▁fon ts", "▁ fonts", "append Child", "▁M AR", "▁MA R", "▁g ay", "▁ga y", "mi l", "m il", "le sh", "les h", "l esh", "è t", "▁W ang", "▁Wa ng", "▁Y ears", "▁Year s", "▁Ye ars", "▁S ymbol", "▁Sym bol", "▁ Symbol", "Li ve", "L ive", "qu ency", "▁U sers", "▁Use rs", "▁User s", "▁Us ers", "▁ Users", "▁Un icode", "▁S au", "▁Sa u", "▁t ons", "▁to ns", "▁ton s", "▁ tons", "▁Н і", "▁кра ї", "▁ краї", "AX I", "▁P ick", "▁Pi ck", "▁Pic k", "A I", "▁h ath", "▁ha th", "▁hat h", "▁a inda", "▁ain da", "▁p apa", "▁pa pa", "▁pap a", "▁C enso", "▁B ald", "▁Ba ld", "▁Bal d", "▁Насе ље", "▁sim ulations", "▁simulation s", "▁j aren", "▁ja ren", "▁jar en", "▁inher ited", "▁inherit ed", "▁то й", "▁ той", "▁fe els", "▁feel s", "▁fee ls", "ress ion", "r ession", "▁o któber", "bi d", "b id", "ás i", "á si", "▁m uss", "▁mus s", "▁mu ss", "vent ory", "▁me ist", "▁b ore", "▁bo re", "▁bor e", "▁sl ider", "▁slide r", "▁sli der", "▁ slider", "де ли", "\\ ;", "▁extra cted", "▁extract ed", "ку р", "к ур", "Ed ge", "▁per f", "▁pe rf", "▁Brig ade", "▁гра д", "▁ град", "ie nie", "ien ie", "i enie", "▁N orden", "▁Nor den", "▁Nord en", "▁c ancer", "▁can cer", "\" /", "C ur", "▁С ере", "▁Се ре", "▁Сер е", "▁liqu id", "str ucture", "struct ure", "▁cho osing", "▁Per l", "▁Pe rl", "Si de", "S ide", "ü s", "ри тор", "рито р", "рит ор", "▁k ost", "▁ko st", "▁pa ckets", "▁pack ets", "▁packet s", "▁кото рого", "▁Com un", "▁Co mun", "▁f ingers", "▁fin gers", "▁finger s", "ográ fica", "> :", "▁champion nat", "▁bl ieb", "▁S itu", "▁Si tu", "▁Sit u", "▁su ic", "an dis", "and is", "Fr e", "F re", "▁C onc", "▁Con c", "▁Co nc", "▁re public", "▁rep ublic", "▁repub lic", "▁ar med", "▁arm ed", "▁h ell", "▁he ll", "▁hel l", "▁ hell", "▁h ög", "▁hö g", "rag ma", "▁en se", "▁ens e", "▁ ense", "▁ac res", "▁В ід", "▁Ві д", "▁Re form", "▁Ref orm", "Main Activity", "ke eper", "keep er", "kee per", "er b", "e rb", "▁mon aster", "sub subsection", "▁Ди в", "▁cre ature", "▁indic ating", "▁url s", "▁ur ls", "▁ urls", "▁k ein", "▁ke in", "об раз", "обра з", "pi ck", "pic k", "p ick", "▁Ad mir", "▁old est", "▁ol dest", "▁m uz", "▁mu z", "▁contra diction", "▁contrad iction", "▁contradict ion", "▁prob abil", "illi ant", "▁p av", "▁pa v", "▁pa pel", "▁pap el", "ub s", "u bs", "▁ж ена", "▁же на", "▁жен а", "▁ жена", "AM L", "A ML", "▁re cip", "▁rec ip", "▁reci p", "▁C OL", "▁CO L", "▁ COL", "ad ded", "add ed", "▁cl ue", "▁Uk raine", "▁Ukrain e", "▁jel ent", "че нь", "чен ь", "ч ень", "▁mathemat ics", "Ac cept", "▁с от", "▁со т", "▁се вер", "▁isol ated", "▁по я", "w ür", "Ro uter", "Route r", "Rout er", "R outer", "CA T", "C AT", "rg b", "r gb", "▁L ov", "▁Lo v", "mu table", "mut able", "m utable", "▁W es", "▁We s", "▁Ital ien", "Dra g", "Dr ag", "D rag", "en ium", "eni um", "at ting", "att ing", "atti ng", "tc p", "t cp", "▁erfolg te", "▁Be it", "▁Bei t", "га то", "▁System s", "▁Syst ems", "▁re serve", "▁res erve", "er ee", "ere e", "e ree", "▁Па ри", "▁Пар и", "▁з али", "▁за ли", "▁re nt", "▁r ent", "▁ren t", "▁ rent", "▁s unt", "▁su nt", "▁sun t", "▁G irls", "▁Girl s", "▁Gir ls", "▁Er nest", "▁Ern est", "▁f its", "▁fi ts", "▁fit s", "▁op pon", "▁opp on", "▁живе ло", "▁av aient", "▁Flor ence", "▁Flo rence", "▁чи сле", "▁eng ines", "▁engine s", "D ynamic", "▁stycz nia", "▁b ias", "▁bi as", "▁Ex change", "ди й", "▁histor iques", "▁historique s", "▁H ä", "ho d", "h od", "▁w ł", "sch ap", "▁l ac", "▁la c", "▁ lac", "▁F oi", "▁Fo i", "▁d well", "▁dw ell", "▁Unter nehmen", "UR N", "▁kilomet res", "▁Одна ко", "к ли", "▁S ri", "▁Sr i", "Gr oups", "Group s", "min d", "mi nd", "m ind", "os lov", "fer n", "fe rn", "f ern", "eg u", "e gu", "abel ed", "abe led", "F iddle", "▁Cent ury", "/ -", "▁J egyzetek", "He n", "H en", "ens emble", "▁G ut", "▁Gu t", "_{ {\\", "_ {{\\", "▁ran king", "▁rank ing", "+ $", "ал а", "а ла", "▁# {", "▁ #{", "im ientos", "imiento s", "ach im", "ac him", "achi m", "ri des", "ride s", "rid es", "r ides", "▁K laus", "▁Kl aus", "▁int end", "▁inte nd", "▁inten d", "▁Kent ucky", "ci pe", "cip e", "c ipe", "▁D ienst", "▁Di enst", "▁situ ated", "▁pó ź", "▁s crit", "▁sc rit", "▁scr it", "▁scri t", "cl ip", "cli p", "c lip", "не т", "н ет", "ta bles", "table s", "tab les", "t ables", "▁N ied", "▁Ni ed", "▁Nie d", "▁Mc K", "▁pow st", "▁kun nen", "▁Ev ans", "▁Eva ns", "ж ды", "ва ть", "ват ь", "uch ar", "uc har", "ucha r", "u char", "▁res idents", "▁resid ents", "▁resident s", "ia k", "i ak", "▁Re sol", "▁Res ol", "▁ Resol", "▁ve ces", "▁vec es", "▁satisf ying", "▁satisfy ing", "IN F", "I NF", "▁с ин", "▁си н", "▁cross ing", "ib en", "ibe n", "i ben", "▁ши ро", "pt o", "p to", "IL L", "I LL", "▁ро ль", "▁a ktiv", "▁akt iv", "▁обра щения", "Wik ispecies", "▁Hö he", "cr o", "c ro", "══ ══", "al tra", "alt ra", "▁FI LE", "▁ FILE", "▁u ps", "▁up s", "▁ ups", "▁al location", "▁all ocation", "▁alloc ation", "▁allo cation", "Mich ael", "▁acknow led", "Lin ux", "▁met ros", "▁ metros", "tt e", "t te", "af en", "a fen", "▁x code", "▁тра ди", "spe cies", "spec ies", "s pecies", "▁inj ury", "▁са мы", "▁сам ы", "▁l attice", "M aterial", "and enburg", "anden burg", "▁huvud staden", "st ory", "sto ry", "stor y", "▁var ying", "▁vary ing", "▁kö vet", "▁Росси йской", "ir se", "irs e", "▁d rum", "▁dr um", "▁dru m", "Pr essed", "Press ed", "Pres sed", "La r", "L ar", "▁A gu", "▁Ag u", "▁w eil", "▁we il", "▁comm ence", "▁Seg ún", "Gest ure", "Sh ape", "S hape", "▁V ors", "▁Vo rs", "▁Vor s", "▁succ ès", "▁correct ed", "▁corre cted", "▁corr ected", "K ar", "▁cr uel", "▁cru el", "▁polit ico", "▁Schrift steller", "▁ris ult", "et u", "e tu", "arch iv", "▁gén ero", "▁gé nero", "▁L ü", "▁tri umph", "OR S", "O RS", "L u", "▁person nel", "▁personn el", "▁personne l", "▁H ills", "▁Hill s", "▁Hil ls", "as set", "ass et", "asse t", "do min", "dom in", "d omin", "Rece ive", "▁O ak", "▁K no", "▁Kn o", "▁The ory", "ir ie", "iri e", "i rie", "ow an", "owa n", "o wan", "▁est ava", "▁esta va", "▁exec utes", "▁execute s", "▁execut es", "й т", "óp ez", "ó pez", "по ло", "пол о", "п оло", "ét ica", "▁назва ние", "▁conver ges", "▁not re", "▁no tre", "▁pop ulated", "▁popula ted", "▁popul ated", "▁populate d", "▁mov ements", "▁move ments", "▁movement s", "▁statist ical", "▁Zwe iten", "qu in", "qui n", "▁import antes", "▁important es", "▁importante s", "▁k lein", "▁kle in", "▁kl ein", "▁Seg unda", "schließ end", "Fail ure", "na r", "n ar", "da g", "d ag", "▁ru olo", "▁f iction", "▁fi ction", "▁fic tion", "▁fict ion", "▁исполь зу", "▁cr isis", "▁Get ting", ", %", "▁ар мии", "▁cam pus", "▁camp us", "▁fo oter", "▁foot er", "▁foo ter", "▁ footer", "▁d ías", "▁día s", "▁dí as", "ба н", "б ан", "▁liber ty", "▁libert y", "▁g h", "▁ gh", "▁cham ber", "▁district s", "▁exc ited", "▁can ción", "ter o", "te ro", "t ero", "▁Work ing", "▁Wor king", "▁czę ści", "ль ный", "▁f orum", "▁for um", "▁fo rum", "▁ forum", "▁E he", "▁ка та", "▁ ката", "it ations", "itation s", "itat ions", "To ols", "Tool s", "T ools", "ach iv", "achi v", "▁c res", "▁cre s", "▁cr es", "as to", "ast o", "a sto", "▁re ver", "▁r ever", "▁rev er", "▁reve r", "▁n azionale", "▁naz ionale", "▁do ors", "▁door s", "▁N ancy", "▁Nan cy", "▁is lands", "▁island s", "Im p", "I mp", "▁Ch air", "▁Cha ir", "▁v orm", "▁vo rm", "▁vor m", "se in", "s ein", "▁до ку", "er set", "ers et", "▁tät ig", "▁K rit", "▁Kr it", "▁п я", "▁cons ervation", "▁conserv ation", "▁Part ido", "▁Parti do", "min ipage", "Valid ator", "▁rec overy", "▁recover y", "▁NA SA", "▁NAS A", "▁br east", "▁bre ast", "il ty", "ilt y", "an aly", "ana ly", "anal y", "el ines", "eli nes", "eline s", "elin es", "e lines", "▁S aturday", "em ark", "e mark", "ce j", "c ej", "Ze ro", "Z ero", "▁Tur ner", "▁Turn er", "sec ure", "Ex ists", "▁R ick", "▁Ric k", "▁Ri ck", "ev alu", "eval u", "e valu", "ct rl", "ctr l", "c trl", "▁com pression", "▁comp ression", "▁compr ession", "▁compress ion", "▁C URL", "text color", ")\\ ,", ") \\,", "long rightarrow", "▁Fern seh", "▁ Fernseh", "ic ha", "ich a", "i cha", "▁l oi", "▁lo i", "▁О те", "▁От е", "▁c ave", "▁ca ve", "▁cav e", "▁do zen", "▁expla ining", "▁expl aining", "▁explain ing", "▁in nov", "▁inn ov", "▁Nich olas", "▁dia meter", "▁diam eter", "▁M arian", "▁Mar ian", "▁Ma rian", "▁Maria n", "▁Mari an", "▁f ires", "▁fire s", "▁fi res", "▁fir es", "▁art ifact", "▁ artifact", "▁Par ker", "▁Park er", "▁B und", "▁Bu nd", "▁Bun d", "▁v erte", "▁ver te", "▁vert e", "▁ verte", "▁tal ent", "▁tale nt", "▁Lu cas", "▁Luc as", "re verse", "▁folg enden", "▁S ah", "▁Sa h", "ject ions", "je ctions", "jection s", "▁inve ce", "▁cost itu", "▁s sl", "▁ss l", "▁ ssl", "}} ^", "} }^", "▁viol ent", "▁s pos", "▁sp os", "▁spo s", "Ro ut", "R out", "jd k", "j dk", "▁за ме", "▁f urent", "▁fur ent", "▁fu rent", "an dal", "and al", "anda l", "H om", "▁Sen ior", "▁p ounds", "▁Disc ogs", "▁з е", "▁ зе", "'} [", "' }[", "▁Napole on", "ordin ates", "ordinate s", "à n", "▁k urz", "▁kur z", "▁v ere", "▁ver e", "▁ve re", "▁ vere", "▁re use", "▁Г ен", "▁Ге н", "▁S yst", "▁Sy st", "▁disapp eared", "▁disappear ed", "▁W atch", "▁Wat ch", "▁ Watch", "bibli othek", "▁кор пу", "▁C s", "▁} `", "▁ }`", "▁r ör", "▁де ла", "▁ дела", "V B", "▁calcul us", "▁calc ulus", "ро да", "род а", "▁jud gment", "at ile", "ati le", "▁long ue", "▁lon gue", "▁H us", "▁Hu s", "J ac", "}} )", "} })", "RI PT", "IAB ot", "▁ap ós", "▁a ston", "▁as ton", "▁ast on", "Web achiv", "▁URL s", "▁co at", "▁э коно", "▁l ear", "▁le ar", "▁ lear", "ext ensions", "extension s", "▁Class ic", "T I", "▁T age", "▁Tag e", "▁Ta ge", "▁l á", "▁ lá", "▁s emb", "▁se mb", "▁sem b", "▁développ ement", "IS TS", "IST S", "▁sol ves", "▁solve s", ",\\ ,", ", \\,", "▁чем пі", "ord inary", "ordin ary", "▁B av", "▁Ba v", "▁much os", "▁mu chos", "▁mucho s", "S elf", "▁Ма й", "▁D iet", "▁Die t", "▁Di et", "▁necess ity", "ві д", "в ід", "▁m ano", "▁ma no", "▁man o", "▁С р", "▁car re", "▁Cam era", "▁Camer a", "▁ Camera", "▁N arod", "▁Na rod", "▁Nar od", "▁Ph one", "▁Pho ne", "▁ Phone", "▁pol ym", "▁poly m", "im ore", "imo re", "i more", "is Empty", "▁Hou ston", "▁Re ce", "▁Rec e", "▁ Rece", "▁present ation", "▁pres entation", "▁presenta tion", "▁ presentation", "ни ципа", "ници па", "▁D b", "▁ Db", "▁conf ident", "▁} {", "▁ }{", "▁bul let", "▁ bullet", "▁{ },", "▁{} ,", "AN GE", "ANG E", "▁No tre", "▁Not re", "ch in", "chi n", "c hin", "▁Dr agon", "▁Drag on", "▁Dra gon", "er ca", "erc a", "ia li", "ial i", "i ali", "▁as set", "▁ass et", "▁asse t", "▁ asset", "▁mu ito", "▁muit o", "▁deep ly", "▁rest riction", "▁restrict ion", "▁com merce", "▁commer ce", "▁ commerce", "▁B omb", "▁Bo mb", "▁Bom b", "c aught", "q q", "▁A rag", "▁Ar ag", "▁Ara g", "▁не мец", "▁Anal ysis", "▁člán ku", "▁b aby", "▁ba by", "▁e chter", "▁о дного", "▁од ного", "▁одно го", "же на", "жен а", "ж ена", "▁white space", "▁whites pace", "ç u", "LI ST", "L IST", "fr ique", "fri que", "f rique", "▁v arias", "▁var ias", "▁vari as", "▁va rias", "▁W it", "▁Wi t", "▁Lic encia", "Ex it", "▁sie rp", "▁sier p", "▁ass emb", "▁asse mb", "▁split ting", "▁spl itting", "▁pa lace", "▁pal ace", "▁b locked", "▁block ed", "▁bound aries", "▁iter ations", "▁iteration s", "▁Rot ten", "▁Ver kehr", "▁we er", "Test s", "T ests", "if ting", "ift ing", "▁reg ul", "▁pers ist", "▁Sol ution", "p b", "▁col lapse", "▁ collapse", "▁arr ested", "▁arrest ed", "▁pred icate", "▁Z one", "▁Zo ne", "▁ Zone", "▁in gen", "▁ing en", "▁ ingen", "zá lez", "▁b anks", "▁bank s", "▁ban ks", "pl ant", "plan t", "pla nt", "p lant", "▁N ella", "▁Ne lla", "▁Nel la", "▁Nell a", "▁б ан", "▁ба н", "▁ бан", "▁S now", "▁Sn ow", "▁Kre uz", "í cio", "▁en ters", "▁ent ers", "▁enter s", "▁ex pose", "▁exp ose", "▁expos e", "č i", "ши е", "Qu al", "Q ual", "▁lands cape", "▁пода цима", "ma i", "m ai", "st ag", "sta g", "s tag", "ова ний", "DE F", "D EF", "[] {", "[ ]{", "▁derni ère", "ic ut", "i cut", "▁X ml", "▁ Xml", "▁sub group", "▁Pol sce", "▁W arning", "▁War ning", "▁ Warning", "▁veh icles", "▁vehicle s", "io t", "i ot", "▁d ll", "▁ dll", "ro nt", "ron t", "r ont", "▁Lou ise", "▁Louis e", "▁a ra", "▁ar a", "▁ ara", "▁S cala", "▁Sc ala", "▁canon ical", "▁pl acing", "▁pla cing", "ER Y", "E RY", "▁J ag", "▁Ja g", "▁v irus", "▁vi rus", "▁vir us", "em u", "e mu", "▁} );\r", "▁}); \r", "▁}) ;\r", "▁м м", "▁Tr ying", "▁Try ing", "▁Lex ikon", "ab ord", "abor d", "▁exped ition", "▁demand ed", "▁demande d", "Z yg", "le in", "lei n", "l ein", "▁verw endet", "ри на", "рин а", "wo l", "w ol", "▁p ivot", "▁одна ко", "▁propri et", "▁a wards", "▁aw ards", "▁award s", "to ut", "t out", "▁as sim", "▁ass im", "▁St orm", "▁Sto rm", "Li mit", "L imit", "el in", "eli n", "e lin", "we alth", "ue z", "u ez", "▁rap present", "▁rappres ent", "▁re sta", "▁r esta", "▁res ta", "▁rest a", "▁gegründ et", "▁journal ist", "is ie", "isi e", "▁fac ility", "▁facil ity", "il led", "ill ed", "ille d", "ul k", "▁P K", "▁ PK", "An chor", "▁_ )", "▁ _)", "V F", "LA B", "L AB", "▁n å", "od os", "odo s", "▁bill ion", "vir ti", "virt i", "▁Je ux", "юз а", "ю за", "tom cat", "▁ch arts", "▁char ts", "▁chart s", "▁ charts", "▁B undle", "▁Bund le", "▁ Bundle", "▁l st", "▁ls t", "▁ lst", "▁ex er", "▁fem ales", "▁female s", "▁oblig ed", "▁a by", "▁ab y", "▁ aby", "roll ed", "rol led", "rolle d", "dr i", "d ri", "▁S che", "▁Sch e", "▁Sc he", "▁vess els", "▁vessel s", "IMA RY", "IM ARY", "▁reason ing", "▁про те", "▁пр оте", "FI LES", "FILE S", "ver k", "v erk", "os os", "oso s", "▁ком му", "ді ї", "д ії", "▁d d", "▁ dd", "▁со ответ", "▁IO Exception", "▁ IOException", "sk ých", "ský ch", "▁C LI", "▁CL I", "▁ CLI", "▁ ње", "C M", "T D", "▁possib ilities", "▁possibil ities", "▁Com pos", "▁Comp os", "hal f", "h alf", "▁web page", "▁s wing", "▁sw ing", "▁ swing", "▁z as", "▁za s", "▁ zas", "▁cy cl", "le id", "lei d", "ist ica", "istic a", "isti ca", "▁In sert", "▁Ins ert", "▁ Insert", "▁Sw eden", "▁want ing", "▁ ال", "▁e euw", "▁Admin istr", "▁War ren", "▁b s", "▁ bs", "▁p am", "▁pa m", "an us", "anu s", "Dr a", "D ra", "ex pl", "exp l", "▁K ant", "▁Kan t", "▁Ka nt", "▁Aust in", "▁c sak", "▁cs ak", "▁the atre", "▁compat ibility", "ма тиче", "мати че", "set State", "б ю", "}{ |", "} {|", "▁D y", "▁Zw ischen", "Al t", "A lt", "CLA RE", "st eps", "ste ps", "step s", "▁L age", "▁La ge", "▁Lag e", "▁M itt", "▁Mit t", "▁Mi tt", "▁Dub lin", "▁рабо ты", "de ep", "▁fl ows", "▁flow s", "▁flo ws", "▁Pa lace", "▁Pal ace", "▁Pala ce", "un ix", "uni x", "re fs", "ref s", "um ar", "uma r", "u mar", "as et", "ase t", "a set", "co v", "c ov", "▁p ing", "▁pi ng", "▁pin g", "▁ ping", "▁Saf ari", "fl ug", "flu g", "cre ens", "creen s", "c reens", "{ #", "▁ре а", "ad ors", "ado rs", "ador s", "▁a mor", "▁am or", "uc e", "u ce", "de mic", "dem ic", "▁Nether lands", "▁cluster s", "▁clust ers", "▁en for", "▁enf or", "mar ine", "▁b ugs", "▁bu gs", "▁bug s", "izz ata", "izza ta", "▁s cra", "▁sc ra", "▁scr a", "Le s", "L es", "qu ick", "qui ck", "▁turn o", "▁tur no", "_ *", "ер а", "е ра", "Gener ated", "> [", "▁e stre", "▁est re", "▁es tre", "▁ estre", "or de", "ord e", "▁v erg", "▁ver g", "▁ve rg", "ро з", "р оз", "▁p au", "▁pa u", "in cludes", "include s", "includ es", "as sa", "ass a", "ad ers", "ader s", "ade rs", "a ders", "▁Гер ма", "▁est aven", "▁esta ven", "▁ear liest", "▁res ultado", "▁result ado", "mu n", "m un", "▁pl ots", "▁plot s", "▁ plots", "di n", "d in", "sort ed", "s orted", "▁p reference", "▁pre ference", "▁prefer ence", "ri ó", "r ió", "ту ре", "тур е", "▁L igue", "▁Li gue", "▁Lig ue", "▁за вер", "▁зав ер", "ph r", "p hr", "▁p ocket", "▁po cket", "▁poc ket", "▁par l", "▁pa rl", "▁l ak", "▁la k", "▁ lak", "▁p owie", "▁po wie", "▁pow ie", "▁al tres", "▁alt res", "▁altre s", "$} ;", "$ };", "pl ain", "pla in", "p lain", "▁C red", "▁Cre d", "▁Cr ed", "▁ Cred", "it za", "itz a", "pe rp", "per p", "Gr een", "Gre en", "G reen", "▁dev oted", "product ion", "produ ction", "p roduction", "work er", "wor ker", "el sen", "els en", "else n", "▁v ern", "▁ver n", "▁ve rn", "▁ vern", "▁már cius", "▁Conf eder", "▁Liver pool", "▁му зи", "▁em ails", "▁email s", "▁dist ances", "▁distance s", "▁seg ments", "▁segment s", "▁a nth", "▁an th", "▁ant h", "▁ anth", "▁w rest", "▁wr est", "▁ho og", "▁cin ema", "rr or", "r ror", "▁geb oren", "▁é c", "▁ éc", "Mar ker", "Mark er", "▁Com pet", "▁Comp et", "▁ли сто", "all owed", "allow ed", "allo wed", "vol ume", "Esp agne", "Z e", "▁fix es", "▁fi xes", "▁r ond", "▁ro nd", "▁arrang ement", "/ ~", ".] (", ". ](", "▁For rások", "▁weiter en", "▁weit eren", "▁weitere n", "ex cel", "▁з мі", "▁mod erne", "▁modern e", "▁moder ne", "Eng lish", "▁Transfer markt", "▁be aring", "▁bear ing", "▁cl eared", "▁clear ed", "▁cle ared", "▁са м", "▁di vs", "▁div s", "ć i", "▁э той", "▁это й", "▁Ге ор", "sc ene", "sce ne", "▁a ges", "▁ag es", "▁age s", "▁ ages", "GE N", "G EN", "rä n", "r än", "▁T oul", "▁To ul", "▁A bs", "▁Ab s", "j át", "▁med iante", "▁medi ante", "▁median te", "▁em pres", "▁emp res", "▁Emp loyee", "▁ Employee", "▁polynomial s", "▁optim ize", "▁вы ступа", "fa re", "far e", "f are", "ве й", "в ей", "x f", "qu ez", "que z", "q uez", "▁bo tan", "▁bot an", "▁def end", "▁defe nd", "▁Qu art", "Mon t", "Mo nt", "M ont", "v b", "ti ck", "t ick", "W D", "min e", "mi ne", "m ine", "▁mod ific", "not ification", "▁d enn", "▁de nn", "▁den n", "▁al go", "▁alg o", "▁S po", "▁Sp o", "▁m istrzost", "/ :", "▁a present", "▁apr esent", "▁п род", "▁про д", "▁пр од", "Vol ume", "sk ą", "s ką", "prote cted", "▁Turk ish", "az y", "a zy", "▁p ouv", "▁po uv", "▁pou v", "▁perí odo", "sk og", "sko g", "▁ent ropy", "▁entr opy", "ze d", "z ed", "то ри", "тор и", "▁l ij", "▁li j", "▁ lij", "bo ards", "board s", "▁ста ту", "Bo ol", "B ool", "▁pol ity", "▁polit y", "@\" ,", "@ \",", "▁рі к", "né e", "n ée", "▁Z ug", "▁Zu g", "▁Un iti", "▁Unit i", "ém et", "é met", "at ience", "ati ence", "di men", "dim en", "d imen", "▁St even", "▁Ste ven", "▁Steve n", "H a", "ACT ION", "A CTION", "▁w and", "▁wa nd", "▁ wand", "▁Na var", "▁Nav ar", "▁сі чня", "W atch", "▁Stu art", "▁z de", "▁zd e", "▁кон тро", "data set", "dat aset", "datas et", "y ó", "▁B ush", "▁Bu sh", "▁Bus h", "▁се бя", "▁wor thy", "▁worth y", "▁B le", "▁Bl e", "▁pro por", "▁prop or", "▁Vill age", "▁Villa ge", "▁Vil lage", "▁r y", "▁ ry", "▁v oit", "▁vo it", "▁копи я", "▁z p", "▁c ura", "▁cu ra", "▁cur a", "▁H tml", "▁ Html", "▁Die ser", "▁Dies er", "▁Diese r", "▁D ays", "▁Da ys", "▁Day s", "▁ Days", "on nes", "onn es", "onne s", "▁ant igu", "▁anti gu", "▁Sta aten", "▁Staat en", "▁f aint", "▁fa int", "on gs", "ong s", "▁ö st", "▁ öst", "Re direct", "Red irect", "ел ь", "е ль", "at orial", "ator ial", "ato rial", "atori al", "▁b other", "▁bo ther", "▁both er", "▁bot her", "Edit Text", "▁Gi ul", "▁за во", "▁зав о", "▁pue blo", "▁Mississ ippi", "ja k", "j ak", "▁w ings", "▁win gs", "▁wing s", "on c", "o nc", "ív el", "í vel", "ien cia", "i encia", "ent licht", "entlich t", "▁B TW", "or nal", "orn al", "▁Ко ро", "▁Кор о", "▁од ним", "▁sa lv", "▁sal v", "▁f inden", "▁find en", "▁fin den", "ge o", "▁а виа", "att ung", "vi v", "v iv", "▁L uther", "▁Lu ther", "▁об щи", "▁Ro lle", "▁Rol le", "▁Roll e", "▁Ab raham", "▁cent ered", "▁center ed", "▁sl ash", "▁sla sh", "▁ slash", "is at", "isa t", "em ann", "ema nn", "eman n", "e mann", "O s", "пар та", "▁P ablo", "▁Pa blo", "▁collabor ation", "path s", "pat hs", "éd ition", "▁view ed", "▁vie wed", "▁cons isted", "▁consist ed", "▁recover ed", "▁Mex ican", "▁F ix", "▁sp ell", "▁spe ll", "▁spel l", "Spec ial", "Spe cial", "▁С т", "ess eur", "esse ur", "▁Украи ны", "form er", "for mer", "▁ś w", "▁z eros", "▁ze ros", "▁zero s", "▁Stra ßen", "▁Straße n", "▁organ isation", "▁organis ation", "▁ organisation", "üss en", "üs sen", "▁S ierra", "▁Se ason", "▁Sea son", "▁vol ont", "Bean Factory", "▁помо щ", "▁pres sing", "▁press ing", "▁equival ence", "▁c att", "▁ca tt", "▁cat t", "ic ity", "ici ty", "i city", "▁accompl ished", "▁accomp lished", "▁accomplish ed", "▁y o", "▁ yo", "▁s ic", "▁si c", "▁im ports", "▁import s", "▁accom mod", "▁Port o", "▁Por to", "▁я ка", "▁як а", "▁lo an", "ти ки", "тик и", "▁check out", "▁ass ess", "▁asse ss", "▁Pop ulation", "ur ent", "ure nt", "uren t", "u rent", "clo jure", "▁Sant os", "▁Santo s", "▁inform áció", "PO S", "P OS", "▁g are", "▁gar e", "▁ga re", "▁k ick", "▁ki ck", "▁rad ical", "▁radi cal", "▁Pe ace", "▁stream ing", "▁stre aming", "ca mp", "cam p", "c amp", "zą t", "го вор", "гов ор", "гово р", "▁Reg ierung", "▁proceed ed", "f m", "ле ны", "лен ы", "▁ear nest", "▁Par ad", "▁Pa rad", "▁Para d", "request s", "▁R aum", "▁Ra um", "š č", "▁polic ies", "▁T ig", "▁Ti g", "▁s itt", "▁si tt", "▁sit t", "▁Ener gy", "▁pur ely", "▁pure ly", "▁H aut", "▁Ha ut", "▁Sp eed", "▁Spe ed", "▁ Speed", "bi o", "b io", "▁o range", "▁or ange", "▁big gest", "▁britann ique", "▁No table", "▁Not able", "v u", "ле нии", "би н", "б ин", "▁N ash", "▁Na sh", "▁Nas h", "ще ние", "▁c iel", "▁ci el", "adém ie", "▁гру дня", "▁jo ue", "▁jou e", "▁v oted", "▁vo ted", "▁vot ed", "▁vote d", "ri co", "ric o", "r ico", "▁го р", "▁г ор", "▁ гор", "▁коман ду", "it ivity", "iti vity", "▁щ е", "▁ ще", "▁de finite", "▁defin ite", "▁definit e", "uro pa", "urop a", "!\" );", "! \");", "Default s", "▁неко торы", "éd ération", "▁s illy", "▁sil ly", "▁talk ed", "▁tal ked", "re u", "r eu", "▁L omb", "▁Lo mb", "▁stat ue", "кт а", "к та", "ю р", "um ably", "▁горо де", "▁город е", "▁R untime", "▁Run time", "▁ Runtime", "▁di agn", "▁diag n", "▁dia gn", "▁r etro", "▁ret ro", "▁retr o", "▁Sver ige", "▁in icial", "▁inici al", "ien za", "i enza", "▁fig lio", "▁z og", "▁zo g", "▁re y", "▁r ey", "▁ rey", "▁R und", "▁Run d", "▁Ru nd", "т ный", "▁ce ased", "er no", "ern o", "▁e sa", "▁es a", "▁ esa", "▁tr ouv", "▁tro uv", "▁trou v", "▁Gemeinde n", "▁Geme inden", "▁comer cial", "sk ap", "ska p", "s kap", "en ario", "ena rio", "▁ju ris", "▁jur is", "T B", "на ла", "нал а", "н ала", "▁v ij", "▁vi j", "V O", "▁c lin", "▁cl in", "▁cli n", "jö r", "j ör", "са н", "с ан", "ow ała", "owa ła", "ował a", "rib ución", "ribu ción", "▁urs prüng", "▁con dem", "▁cond em", "▁St age", "▁Sta ge", "▁ Stage", "▁mix ing", "▁рі з", "▁f ans", "▁fa ns", "▁fan s", "há z", "h áz", "so cial", "soci al", "za n", "z an", "▁с вой", "▁сво й", "Cook ie", "▁Ro land", "▁Rol and", "az ionale", "▁Sl oven", "▁Slo ven", "▁Slov en", "▁F iche", "▁Fich e", "▁S é", "h ä", "▁official s", "▁offici als", "▁î nt", "▁în t", "Inter ceptor", "Table s", "Tab les", "T ables", "▁da von", "▁dav on", "init ialize", "initial ize", "]= \"", "] =\"", "▁B ody", "▁Bo dy", "▁Bod y", "▁ Body", "▁U pper", "▁Up per", "▁ Upper", "▁Col lect", "▁Coll ect", "▁ Collect", "▁Zür ich", "Hor izontal", "Ty p", "T yp", "▁polít ico", "▁Rewrite Cond", "▁h oped", "▁hope d", "▁ho ped", "▁hop ed", "▁anx ious", "Li ter", "L iter", "ja hr", "j ahr", "▁ass emble", "▁assemb le", "▁c rypt", "▁cry pt", "lah oma", "AS H", "A SH", "▁Б ри", "▁C ic", "▁Ci c", "tw itter", "hy per", "▁T ell", "▁Te ll", "▁Tel l", "іль ки", "во бо", "▁ba zie", "▁baz ie", "▁contempor ary", "▁Param eter", "▁Para meter", "▁ Parameter", "st wa", "▁bek end", "co ck", "c ock", "pre vious", "prev ious", "en ska", "ens ka", "ensk a", "▁c aller", "▁cal ler", "▁call er", "]] )", "] ])", "▁R az", "▁Ra z", "▁Se lon", "▁Sel on", "▁propos al", "▁b ý", "▁S ied", "▁Sie d", "▁Si ed", "▁Arbe its", "▁Arbeit s", "▁p ride", "▁pr ide", "▁pri de", "▁sl ope", "▁slo pe", "id é", "grad ient", "▁Дже рела", "▁S H", "▁ SH", "▁раз рабо", "ivers ity", "спо дар", "\\{ \\", "\\ {\\", "▁с тали", "▁ст али", "▁ста ли", "▁стал и", "▁Ein zel", "▁Einz el", "▁rg ba", "▁A nim", "▁An im", "▁ Anim", "▁a lles", "▁al les", "▁all es", "▁alle s", "▁ alles", "ба р", "б ар", "er te", "ert e", "▁réalis é", "▁réal isé", "Inst itut", "▁mar kup", "▁mark up", "▁v ars", "▁var s", "▁va rs", "▁ vars", "▁g am", "▁ga m", "▁Васи ль", "iz za", "izz a", "i zza", "▁C ob", "▁Co b", "▁M etal", "▁Me tal", "▁Met al", "▁Meta l", "▁le ak", "▁L anc", "▁La nc", "▁Lan c", "Sw itch", "De lay", "Del ay", "at uur", "atu ur", "▁че ты", "▁анг лий", "▁leg acy", "▁desar roll", "▁top ological", "▁jewe ils", "▁Nederland se", "▁atmos phere", "ur ban", "urb an", "▁s lov", "▁sl ov", "▁slo v", "▁law yer", "pe cially", "▁altern ate", "▁para met", "▁param et", "▁establish ment", "▁wood s", "▁wo ods", "P D", "▁на и", "▁m ang", "▁ma ng", "▁man g", "▁wechsel te", "сь ку", "ськ у", ". =", "▁fif teen", "SU M", "S UM", "▁F ro", "▁Fr o", "▁L ED", "▁LE D", "▁ LED", "ow ano", "owa no", "owan o", "стви е", "▁D onnées", "to l", "t ol", "ży n", "ż yn", "cre f", "cr ef", "c ref", "стви и", "ho rn", "hor n", "h orn", "▁со об", "▁обо ро", "▁Comp lete", "▁Comple te", "▁ Complete", "“ )", "▁kind ly", "▁Cham ber", "s ég", "W H", "▁amb ient", "к ро", "▁ch eval", "▁che val", "▁на писа", "fl u", "f lu", "▁Off iz", "ma te", "mat e", "m ate", "nat ural", "n atural", "se par", "sep ar", "em pre", "emp re", "View Holder", "f w", "▁le tech", "▁let ech", "▁tra iling", "▁trail ing", "at ri", "atr i", "a tri", "▁G ó", "▁B onn", "▁Bo nn", "▁Bon n", "▁un likely", "▁unlike ly", "RA M", "R AM", "en st", "ens t", "St ats", "Stat s", "▁поли тиче", ")- -(", ")-- (", "▁t rom", "▁tr om", "▁tro m", "!. ..", "! ...", "▁Mean while", "ст ана", "ста на", "стан а", "▁Re ino", "▁Rein o", "▁A rist", "▁Ar ist", "▁Ari st", "$} }%", "$ }}%", "▁so lem", "▁sol em", "▁sole m", "clos ure", "ign ation", "ło d", "ł od", "▁di vor", "▁div or", "▁между народ", "=\" ", "▁== >", "Ori entation", "ci d", "c id", "Car t", "Ca rt", "C art", "▁m urm", "▁mu rm", "▁mur m", "▁ass ez", "▁asse z", "▁l inking", "▁link ing", "▁lin king", "build ing", "▁rec onna", "▁recon na", "▁s hook", "▁sh ook", "▁sho ok", "man aged", "mana ged", "land a", "lan da", "l anda", "▁Le ón", "▁cré ation", "до й", "oc ity", "oci ty", "o city", "▁w ij", "▁ wij", "▁wie ś", "xt art", "▁M ove", "▁Mo ve", "▁Mov e", "▁ Move", "lung en", "l ungen", "ству ет", "or ney", "orn ey", "option al", "opt ional", "ma cro", "mac ro", "Cond ition", "▁square s", "▁squ ares", "▁mist aken", "▁mistake n", "án t", "á nt", "▁R is", "▁Ri s", "▁sent ences", "▁sentence s", "er ea", "ere a", "e rea", "▁m ij", "▁mi j", "Un d", "U nd", "▁nom br", "z A", "▁In dependent", "▁Indep endent", "▁Independ ent", "▁p review", "▁pre view", "▁prev iew", "▁ preview", "im as", "ima s", "i mas", "▁m ales", "▁ma les", "▁mal es", "▁male s", "in ental", "inen tal", "inent al", "Th ank", "▁p opol", "▁po pol", "▁pop ol", "▁p over", "▁po ver", "▁pov er", "▁gr asp", "▁gra sp", "▁im ped", "▁imp ed", "▁campion ato", "▁W ei", "▁We i", "▁t itled", "▁title d", "▁tit led", "▁A demás", "▁Pass word", "▁ Password", "▁P am", "▁Pa m", "UI LD", "▁ли пня", "wer b", "we rb", "w erb", "........ ........", "▁R ío", "▁te eth", "b p", "▁S W", "▁ SW", "ul aire", "ula ire", "▁se ized", "▁sei zed", "▁St ef", "▁Ste f", "ú l", "▁v iz", "▁vi z", "ion y", "io ny", "i ony", "▁j unt", "▁ju nt", "▁jun t", "▁kter á", "▁wrześ nia", "< >", "▁s urg", "▁su rg", "▁sur g", "▁tu tte", "▁tut te", "▁H ob", "▁Ho b", "по від", "пов ід", "▁w ohl", "▁wo hl", "▁ wohl", "▁t rag", "▁tr ag", "▁tra g", "▁C rown", "▁Cr own", "▁Cro wn", "▁Crow n", "▁tr ova", "▁tro va", "▁trov a", "сто ву", "стов у", "▁Vien na", "ese hen", "▁met ropol", "▁reflect ed", "те та", "тет а", "т ета", "▁trad uc", "▁tradu c", "▁B ast", "▁Bas t", "▁Ba st", "▁ersch ien", "wo ord", "() \"", "( )\"", "ta let", "tal et", "t alet", "▁ro ads", "▁road s", "ве дения", "веде ния", "ühr ung", "▁c ogn", "▁co gn", "▁V alle", "▁Val le", "▁Va lle", "▁Vall e", "▁land ing", "▁lan ding", "▁Re gex", "▁Reg ex", "▁I owa", "▁Io wa", "dz iał", "d ział", "▁erre ichte", "au m", "a um", "▁found er", "▁fo under", "▁fou nder", "ap olis", "Comp iler", "▁k op", "▁ko p", "▁ kop", "▁m arc", "▁ma rc", "▁mar c", "▁те ритор", ")) `", ") )`", "▁l ei", "▁le i", "▁ lei", "ge on", "geo n", "▁weap ons", "▁weapon s", "▁h orn", "▁hor n", "▁ho rn", "▁ horn", "▁el if", "▁ elif", "▁Cap ital", "▁Capit al", "ć e", "▁for all", "▁ forall", "▁э та", "pre view", "prev iew", "p review", "▁D NA", "▁s id", "▁si d", "or ch", "▁R as", "▁Ra s", "▁a rab", "▁ar ab", "▁ara b", "▁ arab", "Be st", "B est", "▁с чита", "▁L ópez", "an ça", "▁fun kc", "▁t ienen", "▁tiene n", "▁ti enen", "▁tie nen", "; &", "m useum", "▁E rr", "▁Er r", "▁ Err", "▁re sort", "▁res ort", "No v", "N ov", "▁k al", "▁ka l", "▁ kal", "M W", "ш ь", "an chor", "anc hor", "anch or", "▁ро ман", "le ading", "lea ding", "▁m anten", "▁ma nten", "▁man ten", "▁mant en", "▁Sil va", "da de", "d ade", "▁design ated", "▁rev ista", "▁revis ta", "O ct", "per cent", "▁у ні", "ident ifier", "ma ss", "mas s", "m ass", "@ @", "uls ion", "ger meister", "g ermeister", "▁pred icted", "▁predict ed", "▁с ви", "жно й", "ж ной", "▁Er geb", "▁c ust", "▁cu st", "▁remove s", "▁remov es", "ch arg", "char g", "cha rg", "при мер", "▁for ming", "▁form ing", "as ma", "asm a", "std out", "F un", "ym e", "y me", "ter ed", "te red", "tere d", "t ered", "urs ive", "ig hed", "igh ed", "▁сле д", "▁ след", "ver band", "verb and", "▁LO G", "▁ LOG", "ra ms", "ram s", "r ams", "éo n", "é on", "en dra", "end ra", "▁Be reich", "▁Bere ich", "▁tempor al", "▁temp oral", "▁tempo ral", "▁lang ue", "▁lan gue", "▁I nn", "▁In n", "▁more over", "▁tutorial s", "M iddle", "▁совет ский", "▁mainten ance", "as ures", "asure s", "▁vál to", "BA SE", "B ASE", "▁disapp ear", "ски я", "▁conoc ido", "▁На у", "▁Li bert", "▁Lib ert", "▁Liber t", "▁Har old", "▁life time", "▁lif etime", "▁T ür", "▁za wod", "▁zaw od", "om ic", "omi c", "o mic", "▁Retrie ved", "arch itecture", "č ka", "iform es", "develop ment", "ord nung", "In f", "le ben", "leb en", "l eben", "▁St ars", "▁Sta rs", "▁Star s", "sign al", "sig nal", "▁gram mar", "▁cor so", "▁cors o", "▁W agner", "▁ge ht", "▁royal e", "▁roy ale", "wa rn", "war n", "w arn", "um bled", "umb led", "umble d", "▁inst it", "▁ins tit", "▁Ш и", "h h", "▁ref uge", "▁favor ite", "ier to", "iert o", "▁cond ado", "▁T her", "▁The r", "▁Th er", "▁человек а", "▁челове ка", "▁F ood", "▁Foo d", "▁Fo od", "▁se izo", "▁sei zo", "▁Init ialize", "▁Initial ize", "▁con nu", "▁conn u", "▁over lap", "▁E mil", "▁Em il", "▁Mart í", "▁жовт ня", "er va", "erv a", "▁bo ats", "▁boat s", "a ções", "▁der rot", "▁m alloc", "▁mal loc", "▁ malloc", "▁con ject", "▁conj ect", "j k", "▁s are", "▁sa re", "▁sar e", "ле мен", "лем ен", "▁s ums", "▁su ms", "▁sum s", "Author ization", "▁K un", "▁Ku n", "]$ ,", "] $,", "geme inde", "gemein de", "g emeinde", "od ot", "odo t", "o dot", "de fin", "def in", "▁e mission", "▁em ission", "▁Кра с", "▁app art", "▁ap part", "▁appar t", "▁stop ping", "▁sto pping", "▁С ред", "▁conj ug", "▁ins ight", "▁Broad cast", "▁PM ID", "▁adv antages", "▁advantage s", "en es", "ene s", "e nes", "▁res idence", "▁resid ence", "lj en", "l jen", "iss eur", "isse ur", "▁pubblic ato", "▁Git Hub", "▁Per u", "▁Pe ru", "▁galax ies", "▁annot ations", "▁annotation s", "ga s", "g as", "▁ré pond", "▁rép ond", "J s", "▁independent ly", "▁independ ently", "N P", "▁in qu", "▁gr ounds", "▁ground s", "Com ponents", "Component s", "▁a nten", "▁an ten", "▁ant en", "▁ante n", "▁ anten", "▁в з", "▁h os", "▁ho s", "▁ hos", "▁s int", "▁si nt", "▁sin t", "▁h iding", "▁hi ding", "▁hid ing", "▁wojew ództ", "Message s", "Mess ages", "▁по каза", "▁пока за", "== =", "= ==", "▁Ab stract", "▁ Abstract", "▁l äng", "▁län g", "▁lä ng", "▁Form ula", "da wn", "d awn", "▁design s", "Im g", "▁Portug uese", "▁incl uy", "▁inclu y", "avig ator", "▁Bro thers", "▁cont inent", "▁contin ent", "▁evident ly", "ra ce", "rac e", "r ace", "ць кого", "▁re ck", "▁rec k", "▁ reck", "▁сер пня", "▁G rey", "▁Gr ey", "▁Gre y", "▁appe al", "▁un like", "▁power shell", "▁pow ershell", "▁powers hell", "▁r acc", "▁ra cc", "▁rac c", "fer s", "fe rs", "f ers", "▁bur ning", "▁burn ing", "fas st", "fass t", "inst alled", "install ed", "▁G ive", "▁Gi ve", "▁col onial", "▁colon ial", "▁ €", "▁R ö", "▁ch rist", "▁chr ist", "ne hm", "neh m", "та м", "▁cor po", "▁con virti", "yt er", "y ter", "S ym", "▁Gree ce", "▁m oth", "▁mo th", "▁mot h", "▁Joh an", "▁Jo han", "▁mon arch", "▁Down load", "▁ Download", "▁c raft", "▁cr aft", "▁cra ft", "▁ craft", "u ž", "▁Lu ke", "▁suf fix", "▁suff ix", "\\ /", "Ha ve", "H ave", "▁ка рь", "▁кар ь", "▁comfort able", "▁t ips", "▁tip s", "▁ti ps", "▁П ісля", "▁бро ја", "▁ин форма", "M Q", "бра н", "б ран", "▁t x", "▁ tx", "▁sl aves", "▁sla ves", "▁slave s", "▁fire wall", "▁For ces", "▁Force s", "at if", "ati f", "▁Qu ellen", "▁thé âtre", "ль ных", "▁располо жен", "▁Det ails", "▁ Details", "k ą", "▁long itud", "IN ST", "▁n aval", "▁na val", "▁nav al", "Fern seh", "es sel", "ess el", "esse l", "Gr ad", "G rad", "▁be lang", "▁bel ang", "▁a ggi", "▁ag gi", "▁ aggi", "Zygote Init", "ł ów", "▁S ug", "▁Su g", "si l", "s il", "▁ex terior", "щ і", "OR D", "en ser", "ens er", "ense r", "▁rapid e", "▁rap ide", "▁тем пера", "in cie", "inci e", "inc ie", "S i", "av am", "ava m", "ar ded", "ard ed", "arde d", "▁Ad ded", "▁Add ed", "End point", "hard t", "har dt", "ст ран", "стра н", "стр ан", "▁est ilo", "▁H az", "▁Ha z", "▁mus ste", "▁muss te", "u o", "ii i", "i ii", "▁ř í", "▁ ří", "an zen", "anz en", "anze n", "же ний", "ah a", "a ha", "ARN ING", "▁re nov", "▁ren ov", "▁div ine", "▁convin ced", "▁hum ans", "▁human s", "▁hu mans", "▁depart ure", "▁Med iter", "▁Medi ter", "q a", "▁poss essed", "▁possess ed", "▁цер кви", "gi v", "g iv", "▁сво ї", "▁Ort ste", "▁Orts te", "R ich", "pu is", "p uis", "in crement", "▁Hann over", "▁u cz", "Do ne", "Don e", "D one", "▁alg uns", "FI X", "F IX", "▁Her itage", "remove Class", "фе р", "ф ер", "▁a bc", "▁ab c", "▁ abc", "D r", "▁се мей", "▁сем ей", "{ :", "▁se ule", "▁seu le", "▁seul e", "zeich nungen", "zeichnung en", "ad dy", "add y", "▁Par ís", "üss eld", "▁re ception", "▁rece ption", "fo lio", "fol io", "ti ny", "t iny", "▁recens ement", "▁N ur", "▁Nu r", "▁k ier", "▁ki er", "▁g mina", "▁gmin a", "sta at", "ánd ose", "че ская", "▁spe aker", "▁speak er", "▁expon ential", "▁exponent ial", "▁D ieu", "▁Die u", "▁Di eu", "▁при з", "▁пр из", "▁Raf ael", "▁gg plot", "▁Tem plate", "▁Temp late", "▁ Template", "ou re", "our e", "o ure", "▁In ner", "▁Inn er", "▁ Inner", "og ne", "ogn e", "ig are", "iga re", "▁Ar te", "▁Art e", "▁C ov", "▁Co v", "▁auf grund", "▁Б ы", "▁cerem ony", "▁S part", "▁Sp art", "ject ive", "y i", "▁in izi", "▁l atin", "▁lat in", "▁Never theless", "▁D one", "▁Do ne", "▁Don e", "▁ Done", "т ря", "▁A rr", "▁Ar r", "▁ Arr", "se ason", "▁скла ду", "▁pod czas", "▁Beaut iful", "▁Weltkrie g", "▁з о", "▁ зо", "▁over come", "▁Pr aha", "▁Pra ha", "▁рай ону", "▁райо ну", "▁район у", "▁sub scription", "▁subs cription", "▁subscri ption", "ig ent", "igen t", "ige nt", "i gent", "▁по ка", "la tex", "lat ex", "late x", "▁b each", "▁be ach", "▁ро ках", "ge g", "g eg", "▁pro bl", "▁prob l", "arg uments", "argument s", "▁organ izations", "▁organiz ations", "▁organization s", "▁N an", "▁Na n", "▁st ones", "▁sto nes", "▁stone s", "▁H unter", "▁Hun ter", "▁regular ly", "шо го", "ш ого", "▁flex ible", "op ts", "opt s", "o pts", "á ř", "wi tz", "w itz", "▁' )", "▁ ')", "PA SS", "P ASS", "▁k raj", "▁kr aj", "▁kra j", "▁f ake", "▁fa ke", "he its", "heit s", "os ph", "osp h", "parse Int", "F ALSE", "▁prof ess", "▁profes s", "pe ople", "▁pre cip", "▁prec ip", "dir name", "▁per pet", "▁Up dated", "▁Update d", "▁ Updated", "ra yed", "ray ed", "▁prov oc", "▁тра вня", "▁трав ня", "▁categ orie", "▁categor ie", "▁те о", "с ну", "ot r", "o tr", "▁Вер хов", "▁comp ét", "Co st", "C ost", "▁w ider", "▁wide r", "▁wid er", "▁Ob viously", "пи сан", "писа н", "пис ан", "▁на стоя", "▁see king", "▁seek ing", "() ),", "()) ,", "( )),", "▁é quipe", "▁équip e", "▁ équipe", "▁comm its", "▁commit s", "▁S vens", "▁Sv ens", "я бре", "at ern", "ate rn", "ater n", "a tern", "▁h eter", "▁he ter", "▁het er", "▁Boot strap", "én é", "é né", "▁deriv atives", "▁derivative s", "▁Det roit", "▁provin cial", "▁provincia l", "onom ie", "E B", "▁c uer", "▁cu er", "▁от носи", "▁отно си", "▁не й", "▁н ей", "▁ ней", ") ».", "▁Ci udad", "IA L", "I AL", "zy st", "z yst", ")\" )", ") \")", "▁Al c", "bl ogs", "blog s", "blo gs", "b logs", "▁par mi", "▁Album s", "▁Alb ums", "▁Bo liv", "▁Bol iv", "▁c lés", "▁cl és", "Product s", "uer do", "▁ge lang", "▁gel ang", "zn ik", "z nik", "ha gen", "h agen", "an onymous", "▁sv g", "▁ svg", "▁Cons eil", "▁Conse il", "▁A ri", "▁Ar i", "col i", "co li", "c oli", "▁c zy", "▁cz y", "▁ czy", "▁C V", "▁ CV", "▁f ord", "▁for d", "▁fo rd", "▁ ford", "▁Au ßer", "▁Auß er", "▁C I", "▁ CI", "▁t empt", "▁tem pt", "▁temp t", "▁Organ isation", "á š", "▁cy cles", "▁cycle s", "▁cycl es", "▁ges lacht", "▁лю дей", "ým i", "ý mi", "▁S pieler", "▁Spiel er", "ef e", "e fe", "▁Mar vel", "▁por tal", "▁port al", "▁porta l", "▁ portal", "▁Сер г", "▁g rado", "▁gr ado", "▁gra do", "▁grad o", "▁hand lers", "▁handle rs", "▁handler s", "▁Inter face", "▁ Interface", "AM E", "A ME", "▁ser iously", "▁serious ly", "▁B inding", "▁Bin ding", "▁Bind ing", "▁ Binding", "▁R ang", "▁Ra ng", "▁Ran g", "▁n ada", "▁na da", "▁nad a", "oc e", "o ce", "▁inte gra", "▁integr a", "oc racy", "ocr acy", "▁аль бо", "▁st ability", "▁stabil ity", "Un s", "U ns", "▁v eter", "▁ve ter", "-- ----+", "---- --+", "--- ---+", "------ +", "----- -+", "▁se rait", "▁ser ait", "▁sera it", "▁om itted", "▁uncertain ty", "on ian", "oni an", "onia n", "▁re sto", "▁r esto", "▁res to", "▁rest o", "▁же лез", "▁од ной", "▁одно й", "▁Bevölker ung", "▁K raft", "▁Kr aft", "▁Kra ft", "ст р", "▁Mos cow", "la ne", "lan e", "l ane", "ar ab", "ara b", "a rab", "▁s pole", "▁sp ole", "▁spo le", "▁сво его", "? :", "ST ART", "▁ин тер", "▁инте р", "▁sym pt", "▁Loren zo", "▁ej ec", "▁pros per", "DA T", "D AT", "лимпи й", "▁sh apes", "▁shape s", "value Of", "▁associ ate", "▁Med ien", "▁Medi en", "EN V", "▁с ре", "▁држа ве", "▁the ories", "he b", "h eb", "▁Way ne", "▁String Builder", "iw ers", "i wers", "▁M aps", "▁Ma ps", "▁Map s", "Ph ys", "\\} \\", "\\ }\\", "▁P arte", "▁Par te", "▁Part e", "▁Hud son", "ло н", "л он", "L ng", "▁р ы", "▁ ры", "ст ей", "сте й", "с тей", "la u", "l au", "an cer", "ance r", "anc er", "▁Co ppa", "▁Cop pa", "▁вій сь", "▁u cc", "▁Pat tern", "▁ Pattern", "▁gar bage", "▁Gon zález", "▁Encyc lop", "et ten", "ett en", "ette n", "Ex ternal", "Ext ernal", "RE F", "R EF", "> ;", "lij ke", "lijk e", "▁inter sect", "▁Un less", "▁de eper", "▁deep er", "▁ж і", "▁ жі", "de nt", "den t", "d ent", "le f", "l ef", "▁ch anson", "▁diff us", "▁pr imi", "▁prim i", "▁pri mi", "▁W ieder", "▁Wi eder", "▁Wie der", "▁a ws", "▁aw s", "▁ aws", "ow ana", "owa na", "owan a", "▁so ciale", "▁social e", "▁soci ale", "▁soc iale", "ik k", "i kk", "ль ной", "льно й", "▁div isions", "▁division s", "▁divis ions", "ло со", "▁Cl aud", "▁Cla ud", "▁Y a", "▁v oce", "▁vo ce", "▁voc e", "▁B ranch", "▁Br anch", "▁Bran ch", "▁f itted", "▁fit ted", "or r", "o rr", "ôt el", "ô tel", "st roke", "str oke", "list ener", "listen er", "im an", "ima n", "i man", "во сто", "▁Sh ah", "Int roduction", "▁new line", "▁t ile", "▁til e", "▁ti le", "'] ))", "']) )", "' ]))", "▁trav aux", "▁trava ux", "CON FIG", "▁quadr atic", "on neur", "onn eur", "onne ur", "▁Gi org", "▁ident ific", "éric aine", "érica ine", "▁UI View", "▁ UIView", "▁Lib eral", "▁Liber al", "▁K och", "▁Ko ch", "▁Berlin er", "▁Berl iner", "▁not ifications", "▁notification s", "▁Su san", "▁Sus an", "▁c adre", "▁cad re", "▁K loster", "▁Kl oster", "▁exam ine", "▁е дин", "▁еди н", "▁UN ION", "▁al ten", "▁alt en", "▁alte n", "▁f init", "▁fin it", "▁fi nit", "▁pe dig", "▁ped ig", "cy k", "c yk", "▁mouv ement", "▁mou vement", "IO S", "I OS", "▁бри тан", "▁b out", "▁bo ut", "▁bou t", "▁ав тор", "▁авто р", "ниц тво", "ет о", "е то", "le ra", "ler a", "l era", "cl s", "c ls", "▁L ey", "▁Le y", "am y", "a my", "ag ens", "age ns", "agen s", "a gens", "as hed", "ash ed", "▁ok rę", "г ро", "el lett", "ell ett", "elle tt", "▁F ellow", "▁Fel low", "▁manif old", "$) ,", "$ ),", "ld er", "l der", "▁v oz", "▁vo z", "▁be gg", "▁beg g", "▁b aron", "▁bar on", "▁ba ron", "▁f id", "▁fi d", "▁f iring", "▁fi ring", "▁fir ing", "il da", "ild a", "de k", "d ek", "A U", "it are", "ita re", "itar e", "▁A ra", "▁Ar a", "▁Ex it", "▁ Exit", "▁cin emat", "▁cinema t", "▁int ros", "▁intr os", "▁intro s", "▁contact s", "пе ни", "пен и", "▁m öglich", "▁Singap ore", "str öm", "▁H ern", "▁He rn", "▁Her n", "▁six th", "▁public ations", "▁pub lications", "▁publication s", "vi e", "v ie", "▁H at", "▁Ha t", "▁accept ing", "á c", "st wo", "s two", "▁quiet ly", "Ph oto", "▁b asket", "▁bas ket", "▁eigen values", "▁mé dec", "▁méd ec", "▁O limp", "▁Ol imp", "▁цер ков", "al in", "ali n", "a lin", "con sum", "cons um", "▁l assen", "▁las sen", "▁ lassen", "▁ан ти", "▁S eq", "▁Se q", "▁ Seq", "\"; \r", "\" ;\r", "ra re", "rar e", "r are", "▁$ |\\", "▁$| \\", "▁n ick", "▁ni ck", "▁nic k", "▁ nick", "df lare", "V ec", "bind ung", "▁b g", "▁ bg", "ch anges", "change s", "chan ges", "Day s", "Da ys", "D ays", "▁M ouse", "▁Mo use", "▁Mou se", "▁ Mouse", "▁wait ed", "▁wa ited", "▁Tom atoes", "▁f as", "▁fa s", "▁ fas", "ver te", "vert e", "v erte", "▁success ion", "▁succ ession", "со р", "с ор", "▁s ols", "▁so ls", "▁sol s", "▁R ender", "▁Re nder", "▁Ren der", "▁ Render", "▁lead ership", "▁leader ship", "▁leaders hip", "▁signific ance", "▁ga uche", "▁gau che", "ca no", "can o", "c ano", "▁P ie", "▁Pi e", "enso ort", "▁cam bio", "▁camb io", "▁у з", "▁ende av", "Comp leted", "Comple ted", "Complete d", "▁Архив ная", "j d", "ór ico", "ó rico", "▁church es", "▁an imate", "▁anim ate", "▁ani mate", "▁ animate", "S G", "comp ute", "comput e", "▁uniform ly", "IN IT", "ll es", "lle s", "l les", "Http Request", "К о", "Di ff", "D iff", "▁s ah", "▁sa h", "air o", "ai ro", "a iro", "may be", "UT E", "U TE", "▁D ow", "▁Do w", "hu man", "hum an", "h uman", "▁au rait", "▁aur ait", "dar k", "d ark", "▁re pair", "▁rep air", "▁n er", "▁ne r", "▁ ner", "▁D abei", "▁Da bei", "▁Bo tan", "▁Bot an", "Or iginal", "Origin al", "az ă", "▁N AT", "▁NA T", "im per", "imp er", "▁Y outh", "▁You th", "th es", "the s", "t hes", "▁окру га", "▁F lo", "▁Fl o", "▁break fast", "ur ls", "url s", "▁über nahm", "ár ios", "ário s", "á rios", "▁O range", "▁Or ange", "▁Aff airs", "sk e", "s ke", "▁not ify", "▁ notify", "imo ine", "▁Ar ena", "▁Are na", "▁lib eral", "▁liber al", "▁o bec", "▁ob ec", "if a", "i fa", "gu ez", "gue z", "g uez", "ion o", "io no", "i ono", "пера тор", "▁ret ained", "▁retain ed", "fa iled", "fail ed", "bin e", "bi ne", "b ine", "т ных", "▁CG Rect", "cam era", "ide note", "iden ote", "K B", "▁l ights", "▁light s", "▁P ictures", "▁Picture s", "▁Squad ron", "▁V olk", "▁Vol k", "▁b urg", "▁bu rg", "▁bur g", "▁ burg", ", ]", "G i", "ê que", "make Text", "▁every body", "▁Hy per", "▁Hyp er", "▁De ux", "▁gl ory", "▁glo ry", "pres entation", "present ation", "on ica", "oni ca", "onic a", "o nica", "▁fr ère", "ag et", "age t", "a get", "▁h ints", "▁hint s", "▁hin ts", "▁t unnel", "▁tun nel", "▁E j", "ál is", "á lis", "▁V iv", "▁Vi v", "ствен ных", "▁c aps", "▁cap s", "▁ca ps", "PA RT", "PAR T", "P ART", "oc i", "o ci", "▁p rices", "▁pr ices", "▁pri ces", "▁price s", "curr ency", "c urrency", "▁a chter", "▁ach ter", "▁acht er", "rom agnet", "ge nder", "gen der", "gende r", "g ender", "▁s uis", "▁su is", "vers ions", "version s", "▁Tr aining", "▁Tra ining", "▁Train ing", "in side", "ins ide", "eg e", "e ge", "▁tot ale", "▁total e", "▁D aar", "▁Da ar", "▁grud nia", "▁I er", "▁occasion s", "▁occas ions", "▁k de", "▁tensor flow", "▁ tensorflow", "▁ó r", "▁ ór", "Method s", "▁loop ing", "▁direct eur", "k ę", "▁is omorphism", "▁Jo ão", "▁al igned", "▁align ed", "▁ aligned", "он ов", "о нов", "ur ger", "urg er", "▁n ova", "▁no va", "▁nov a", "mor row", "m orrow", "al tern", "alt ern", "alter n", "H D", "▁m arqu", "▁mar qu", "at ivas", "ativ as", "ati vas", "ativa s", "gg reg", "g greg", "▁anci en", "▁anc ien", "ni t", "n it", "▁sec ured", "▁secure d", "mi er", "m ier", "▁O le", "▁Ol e", "▁ин те", "▁m inus", "▁min us", "▁ minus", "▁clear er", "▁n ello", "▁nel lo", "▁nell o", "▁információ k", "▁pro pre", "▁prop re", "{ .", "il og", "ilo g", "i log", "▁Qu ick", "▁acc us", "▁ac cus", "emp loyee", "▁з у", "▁ зу", "ць кий", "фі цій", "▁пу бли", "▁ публи", "▁b ent", "▁be nt", "▁ben t", "▁по зво", "▁П ор", "▁По р", "áz í", "án ico", "á nico", "empty set", "▁sur tout", "re no", "ren o", "r eno", "un ya", "▁у ез", "▁Mill ionen", "▁listop ada", "▁M aine", "▁Ma ine", "▁Main e", "▁Mai ne", "▁gru pos", "▁grupo s", "▁grup os", "▁St orage", "▁Sto rage", "▁ Storage", "▁app le", "▁ap ple", "▁ apple", "▁L ö", "ou sed", "ous ed", "ouse d", "o used", "д ро", "sc i", "s ci", "▁hi bernate", "▁ hibernate", "do g", "d og", "▁во сто", "▁вос то", "▁ восто", "▁intens ity", "leg end", "lege nd", "legen d", "▁W ille", "▁Will e", "▁Wil le", "▁Wi lle", "▁szer int", "ges ellschaft", "▁L iving", "▁Li ving", "▁Liv ing", "al lo", "all o", "▁S plit", "▁Sp lit", "▁ Split", "dr u", "d ru", "ne ed", "n eed", "▁Дж он", "▁Sw iss", "▁sp raw", "▁spr aw", "▁be ho", "▁beh o", "▁fot ograf", "▁ren contre", "▁k is", "▁ki s", "▁sign ing", "▁sig ning", "ak ult", "aku lt", "▁index ing", "ap or", "a por", "▁con ception", "▁concept ion", "▁conce ption", "ag greg", "agg reg", "a ggreg", "▁Са вез", "▁aff air", "ě ní", "A ugust", "▁се кре", "▁miesz kań", "UI Image", "▁b ishop", "▁bi shop", "▁ bishop", "▁serv ants", "▁servant s", "▁tr ail", "▁tra il", "di git", "dig it", "▁jo ins", "▁join s", "▁N ear", "▁Ne ar", "öff entlich", "> {", "▁sk ład", "ge führt", "gef ührt", "▁Hol z", "▁Milit är", "ach i", "ac hi", "a chi", "Up per", "U pper", "pi ne", "pin e", "p ine", "ut zt", "utz t", "▁nu ova", "ibr ation", "▁B ien", "▁Bi en", "▁пер вый", "▁первы й", "▁Cre ating", "On ce", "▁ein mal", "▁ge ometric", "▁geomet ric", "st vo", "▁k W", "▁decom position", "▁com edy", "▁come dy", "▁activ ation", "▁an gry", "▁ang ry", "ill eurs", "ille urs", "▁inst antly", "▁instant ly", "▁suggest ing", "▁C lay", "▁Cl ay", "▁Cla y", "co t", "c ot", "▁G én", "▁Gé n", "($ (", "( $(", "un wrap", "▁lif ted", "▁lift ed", "▁K it", "▁Ki t", "▁ Kit", "▁l inea", "▁li nea", "▁line a", "▁lin ea", "о к", "ha rt", "har t", "h art", "-> _", "▁n uit", "▁nu it", "▁Iss ue", "ли и", "▁r öm", "Task s", "▁S r", "▁se is", "▁sei s", "as ia", "asi a", "}} $.", "}}$ .", "} }$.", ": {", "control s", "contr ols", "▁S tim", "▁St im", "▁Re cht", "▁Rec ht", "ocia ción", "oci ación", "▁N atal", "▁Na tal", "▁Nat al", "▁Philipp ines", "ul en", "ule n", "u len", "F ixed", "▁switch ed", "Z ip", "os pel", "osp el", "▁нача ле", "▁B lan", "▁Bl an", "▁Bla n", "ur st", "urs t", "▁aut our", "▁auto ur", "C a", "▁lat itude", "▁F rei", "▁Fre i", "▁Fr ei", "▁Mus ée", "▁K urz", "▁Kur z", "▁Ku rz", "▁reg ião", "sw ap", "▁h ate", "▁ha te", "▁hat e", "▁mod ifications", "▁modification s", "▁modific ations", "▁К ом", "▁Ко м", "▁Anto ine", "ug a", "u ga", "RE CT", "R ECT", "ét er", "é ter", "G ROUP", "▁sacr ific", "▁W he", "▁Wh e", "▁Ste vens", "▁Steve ns", "▁Steven s", "olog ische", "Sum mary", "ob s", "o bs", "hn en", "h nen", "< %=", "di enst", "d ienst", "re mark", "rem ark", "r emark", "▁veröff entlicht", "е л", "▁M ock", "▁Mo ck", "▁ Mock", "▁Ль в", "▁tr ês", "g b", "▁celebr ated", "▁E b", "▁c osta", "▁co sta", "▁cost a", "▁cos ta", "▁Ge ographic", "▁att achment", "▁attach ment", "mann schaft", "▁depend ence", "� �", "▁att itude", "et al", "eta l", "e tal", "vi c", "v ic", "ba ut", "bau t", "b aut", "▁д ов", "▁до в", "▁ дов", "▁inter ven", "▁G ü", "ón ica", "ó nica", "▁P on", "▁Po n", "▁dispon ible", "▁F eb", "▁Fe b", "▁wor ship", "▁Specific ally", "H y", "ij u", "i ju", "▁c b", "▁ cb", "▁sp ac", "lev eland", "level and", "▁local idad", "▁prec eding", "▁preced ing", "▁H essen", "x p", "▁W ein", "▁We in", "▁Wei n", "▁Rom â", "▁gi orno", "▁gior no", "▁квіт ня", "lla ços", "▁Academ ia", "▁k ül", "▁Å rs", "▁на ј", "uc lide", "Inter net", "Intern et", "or ton", "ort on", "▁c orn", "▁cor n", "▁co rn", "я ми", "▁\" *", "▁Fel ix", "ap at", "apa t", "a pat", "▁сво и", "MI T", "M IT", "ma de", "mad e", "m ade", "▁lo comot", "хо да", "ход а", "F P", "▁p m", "▁ pm", ".* ;", "▁H amm", "▁Ha mm", "▁Ham m", "` }", "Layout Inflater", "== \"", "= =\"", "▁E ur", "▁Eu r", "▁d ogs", "▁do gs", "▁dog s", "же нии", "▁a zon", "▁az on", "▁ azon", "▁em ulator", "▁r icon", "▁ric on", "▁ri con", "be eld", "▁н у", "▁ ну", "▁approxim ate", "L M", "▁B ond", "▁Bo nd", "▁Bon d", "▁en h", "ęd z", "ę dz", "▁s olit", "▁so lit", "▁sol it", "Relative Layout", "et eor", "ete or", "ament os", "amento s", "▁in direct", "▁ind irect", "ib ől", "▁g ros", "▁gr os", "▁gro s", "▁Original s", "▁Origin als", "▁Orig inals", "comm ands", "command s", "Ex port", "Exp ort", "▁A vec", "▁Av ec", "▁sole mn", "▁solem n", "▁correct ion", "▁corre ction", "▁corr ection", "▁про води", "▁прово ди", "▁Mo sk", "▁Mos k", "▁по до", "▁под о", "▁geb ied", "▁nast ęp", "▁D river", "▁Dr iver", "▁Drive r", "▁ Driver", "▁O ok", "▁V ec", "▁Ve c", "▁ Vec", "▁lung o", "▁lun go", "fi cos", "fic os", "fico s", "f icos", "▁s vol", "▁sv ol", "▁svo l", "▁k id", "▁ki d", "n ja", "▁H r", "▁под дер", "▁vis ibility", "▁ visibility", "▁M éd", "▁Mé d", "▁c pu", "▁cp u", "▁ cpu", "dis cussion", "As set", "Ass et", "▁def ense", "▁Any one", "▁Just in", "is zt", "isz t", "▁Coll ins", "▁Val ent", "▁P ale", "▁Pa le", "▁Pal e", "▁f uel", "▁fue l", "▁fu el", "▁n ose", "▁no se", "▁nos e", "rí guez", "▁Sch les", "▁Schl es", "▁Mal ays", "▁com mut", "▁comm ut", "dr o", "d ro", "ui ng", "u ing", "▁R ico", "▁Ric o", "▁Ri co", "▁Em ma", "or p", "o rp", "▁K irk", "▁Kir k", "▁Qu ando", "▁Ne ue", "▁Neu e", "▁de mande", "▁dem ande", "▁demand e", "▁C over", "▁Co ver", "▁Cov er", "▁res cue", "▁gew ählt", "▁Cal endar", "▁ Calendar", "▁Mad onna", "W P", "os hi", "osh i", "▁M aven", "▁Ma ven", "▁b elle", "▁be lle", "▁bel le", "▁bell e", "▁w x", "▁ wx", "▁su gar", "▁sug ar", "▁Bet rieb", "▁equilib rium", "E AR", "▁text s", "▁tex ts", "сло в", "с лов", "▁czerw ca", "▁D üsseld", "▁EL SE", "▁am ery", "▁amer y", "▁a ni", "▁an i", "▁ ani", "▁o bey", "▁ob ey", "▁N ell", "▁Ne ll", "▁Nel l", "▁in ne", "▁inn e", "▁т ро", "▁ тро", "F D", "cc o", "c co", "▁Z ob", "▁Zo b", "al ette", "ale tte", "alet te", "a lette", "▁má jus", "ect ed", "ec ted", "e cted", "▁Tur key", "▁Turk ey", "▁Wh ether", "▁Whe ther", "q i", "▁ш то", "▁head quarters", "en di", "end i", "ar us", "aru s", "a rus", "op us", "o pus", "▁з оло", "▁зо ло", "▁de stru", "▁dest ru", "▁L ok", "▁Lo k", "▁satisf action", "() \r", "( )\r", "▁Т ер", "▁Те р", "Jo se", "J ose", "▁con quer", "▁conqu er", "▁E ffect", "▁ Effect", "Layout Params", "ie z", "i ez", "▁extern s", "▁gegen über", "▁E SP", "▁ES P", "ol ta", "olt a", "process or", "proc essor", "▁K ult", "▁Ku lt", "▁Atl anta", "▁t ier", "▁ti er", "▁tie r", "Oper ator", "▁ди а", "▁пи сь", "▁gro ß", "▁he arts", "▁heart s", "▁hear ts", "▁mill imeter", "al though", "alth ough", "al les", "all es", "alle s", "a lles", "▁Mag ic", "tr aining", "tra ining", "train ing", "ol ine", "oli ne", "olin e", "o line", "▁орган і", ">\\< ^", "> \\<^", "ці аль", "ex ports", "export s", "Work book", "▁вере сня", "▁t eles", "▁te les", "▁tele s", "▁tel es", "▁econom y", "▁econ omy", "▁ec onomy", "▁t rap", "▁tr ap", "▁tra p", "▁ref use", "▁str anger", "▁strange r", "▁stran ger", "▁inst inct", "по да", "ol an", "ola n", "o lan", "▁n ing", "▁ni ng", "▁nin g", "▁ ning", "inf late", "infl ate", "itat ea", "itate a", "ack s", "ac ks", "a cks", "▁J oy", "▁Jo y", "FL AG", "FLA G", "ail and", "ai land", "▁sort i", "▁sor ti", "▁в пер", "▁p én", "▁pé n", "Not hing", "No thing", "N othing", "▁sz áz", "▁Á ng", "▁A UT", "▁ AUT", "Act ions", "Action s", "A ctions", "E very", "▁чер вня", "▁авто мо", "▁rout ine", "▁e struct", "▁est ruct", "▁G ang", "▁Ga ng", "▁Gan g", "▁h oles", "▁ho les", "▁hol es", "▁hole s", "th esis", "thes is", "▁con cl", "▁conc l", "▁p é", "ri ers", "rie rs", "rier s", "r iers", "ро вой", "рово й", "р овой", "ad ic", "adi c", "a dic", "Sp eed", "Spe ed", "▁command ed", "▁N azionale", "▁Naz ionale", "Man aged", "▁DE CLARE", "▁se dan", "▁sed an", "String s", "Str ings", "▁sa cred", "▁sac red", "▁sacr ed", "ter such", "ters uch", "▁abit anti", "br it", "b rit", "▁N CAA", "▁NC AA", "▁С П", "▁a ged", "▁ag ed", "▁age d", "▁ aged", "▁Ch iesa", "▁Chi esa", "▁re vision", "▁rev ision", "▁revis ion", "op ro", "o pro", "▁over write", "emb ros", "embro s", "▁sort ie", "▁sorti e", "▁ot ten", "▁ott en", "xi v", "x iv", "▁d eli", "▁de li", "▁del i", "▁A sp", "▁As p", "▁b alls", "▁bal ls", "▁ball s", "ka f", "k af", "▁br ave", "▁bra ve", "▁все го", "▁вс его", "eg n", "e gn", "jp eg", "▁O sten", "▁Os ten", "▁Ost en", "Const ants", "▁Inf antry", "▁N ev", "▁Ne v", "▁я ких", "▁як их", "▁му ниципа", "ci ja", "c ija", "▁p oem", "▁po em", "▁ne gro", "▁neg ro", "ха р", "х ар", "▁A sk", "▁As k", "▁a vo", "▁av o", "▁ avo", "▁Me yer", "▁Mey er", "▁W esten", "▁We sten", "▁West en", "▁Wes ten", "▁o ko", "▁ok o", "▁ oko", "ag in", "agi n", "a gin", "▁Süd en", "▁Sü den", "ent ries", "entr ies", "▁Rep ublik", "▁Repub lik", "Collection View", "-- -----", "---- ---", "--- ----", "------ -", "----- --", "- ------", "▁fire fox", "▁alc une", "▁фо то", "▁отри ма", "~~~~ ~~~~", "▁Ра з", "▁Com plex", "▁Comp lex", "▁Comple x", "▁p ia", "▁pi a", "▁public ada", "we i", "w ei", "ced ure", "occup ation", "▁medic ine", "▁dr ove", "▁dro ve", "Pro blem", "▁beg inner", "▁begin ner", "▁thorough ly", "ur ia", "uri a", "u ria", "av ant", "ava nt", "avan t", "uch a", "uc ha", "u cha", "▁l ever", "▁le ver", "▁lev er", "▁te atro", "▁teat ro", "AV A", "A VA", "sq u", "s qu", "tr at", "tra t", "t rat", "iv atal", "iva tal", "▁d irty", "▁dir ty", "▁se conde", "▁second e", "▁sec onde", "▁grav it", "▁pro position", "▁prop osition", "▁propos ition", "h bar", "om ini", "omin i", "omi ni", "▁ ”", "▁C amil", "▁Cam il", "▁Ca mil", "▁qu een", "▁que en", "mod ifier", "J an", "▁l yr", "▁ly r", "Com boBox", "ion ic", "io nic", "ioni c", "i onic", "▁h oly", "▁ho ly", "▁hol y", "▁Sebast ian", "| _{", "▁{ @", "▁мо жно", "▁мож но", "▁Cre ative", "▁inter ess", "▁inte ress", "▁C T", "▁ CT", "i ções", "▁ch ant", "▁cha nt", "▁ chant", "▁wsp ół", "▁Мекси ка", "▁ran ked", "▁rank ed", "▁paździer nika", "▁b rut", "▁br ut", "▁bru t", "▁far ther", "▁V erb", "▁Ver b", "▁Ve rb", "▁S even", "▁Se ven", "lb l", "l bl", "▁mention s", "▁ment ions", "▁F ight", "▁Fig ht", "if en", "ife n", "i fen", "▁b og", "▁bo g", "▁re gres", "▁reg res", "▁sc oring", "ic ane", "ica ne", "ican e", "▁El li", "▁Ell i", "▁pie rw", "▁pier w", "me asure", "ński ej", "ń skiej", "# {", "▁де ся", "▁var maste", "▁Un ix", "I Z", "iti é", "Prim ary", "▁Spring er", "▁Spr inger", "ün g", "ü ng", "▁an v", "▁vers ione", "▁version e", "▁should ers", "▁shoulder s", "▁бри га", "▁j av", "▁ja v", "▁ jav", "lt al", "l tal", "▁kall aste", "▁Mitch ell", "▁wire less", "▁wir eless", "▁Á l", "resp ons", "co uld", "cou ld", "c ould", "▁re lax", "▁rel ax", "▁rela x", "▁ relax", "Lo nd", "L ond", "ń cz", "ство вал", "ствова л", "▁pol ski", "en ç", "za r", "z ar", "▁d type", "▁dt ype", "ow ned", "own ed", "un known", "unk nown", "▁m utable", "▁mu table", "▁mut able", "▁ mutable", "▁si empre", "▁Mont real", "▁loc ate", "▁tr aces", "▁tra ces", "▁trace s", "▁trac es", "▁ins gesamt", "▁N il", "▁Ni l", "▁ Nil", "▁п рода", "▁про да", "▁прод а", "▁War ner", "▁N au", "▁Na u", "tri angle", "▁concentr ation", "▁gentle men", "äch t", "ä cht", "fil ters", "filter s", "inci pal", "VAL ID", "▁де пута", "ad ó", "▁kon st", "gs å", "ag as", "aga s", "a gas", "▁meille ur", "▁дан ным", "є дна", "en coded", "enc oded", "encode d", "< '", "▁she ets", "▁sheet s", "▁ sheets", "cu ador", "▁викори стову", "▁De put", "▁Dep ut", "▁man ière", "ą g", "cs ol", "c sol", ")$ -", ") $-", "UI View", "▁mill ones", "▁E hren", "▁Ehr en", "Si l", "S il", "▁a tac", "▁at ac", "▁C old", "▁Col d", "▁Co ld", "\" \\", "▁appro ached", "▁approach ed", "▁Års med", "W M", "▁De port", "▁Dep ort", "mi s", "m is", "and box", "ob serv", "obs erv", "set ting", "sett ing", "ha tó", "hat ó", "h ató", "▁s trat", "▁st rat", "▁str at", "▁stra t", "▁s pre", "▁sp re", "▁spr e", "▁ spre", "▁person ne", "▁pers onne", "▁personn e", "▁dir ige", "▁dirig e", "pu ll", "p ull", "da ting", "dat ing", "d ating", "▁F act", "▁Fa ct", "▁Fac t", "▁ Fact", "▁manip ulate", "▁M AC", "▁MA C", "▁d ej", "▁de j", "ult imo", "F X", "Li fe", "L ife", "▁c rack", "▁cr ack", "▁cra ck", "▁m í", "▁п ове", "▁по ве", "▁пов е", "▁w ore", "▁wor e", "▁wo re", "univers ité", "▁form ulas", "▁formula s", "▁Elis abeth", "pl ots", "plot s", "mi le", "mil e", "m ile", "▁me nor", "▁men or", "ти л", "т ил", "key word", "▁Balt imore", "hr er", "hre r", "h rer", "▁C lement", "▁Cl ement", "▁Cle ment", "vi m", "v im", "ra ss", "ras s", "r ass", "T ake", "▁cím ű", "▁Con vention", "at ge", "se ed", "see d", "s eed", "▁D í", "▁Sp ider", "ah oo", "aho o", "▁име ет", "ühr t", "üh rt", "▁по писа", "▁C ot", "▁Co t", "▁no bles", "▁noble s", "▁nob les", "RE SS", "RES S", "▁che min", "▁chem in", "▁gł ówn", "G G", "▁German ia", "▁Ger mania", "▁Germ ania", "▁Alexand re", "he ns", "hen s", "h ens", "sw ift", "oo p", "o op", "Sub view", "▁requ iring", "ęd zy", "ędz y", "▁f ict", "▁fi ct", "▁fic t", "▁Кон стан", "▁dé put", "▁dép ut", "▁surpr ising", "▁de ix", "▁dei x", "▁unter schied", "in son", "ins on", "▁Char acter", "▁ Character", "▁g estion", "▁ges tion", "▁gest ion", "ch us", "c hus", "com es", "co mes", "come s", "▁n eur", "▁ne ur", "▁neu r", "▁ neur", "▁ye ux", "ol lar", "oll ar", "▁par ad", "▁para d", "▁pa rad", "▁mag giore", "▁maggio re", "▁maggior e", "TR AN", "▁vo tre", "▁vot re", "▁des cent", "▁desc ent", "▁I con", "▁ Icon", "▁Jud ge", "▁occup ation", "▁ occupation", "ep ing", "e ping", "▁ton gue", "▁tong ue", "▁En llaços", "ru f", "r uf", "▁prote in", "▁prot ein", "▁vis itors", "▁visit ors", "▁visitor s", "ax y", "a xy", "es ten", "est en", "este n", "e sten", "bl ica", "blic a", "b lica", "h w", "▁spir its", "▁spirit s", "▁redu ces", "▁reduce s", "▁м ен", "▁ме н", "▁ мен", "▁L amb", "▁La mb", "▁Lam b", "▁M ine", "▁Min e", "▁Mi ne", "▁ver ified", "▁B aby", "▁Ba by", "▁Bab y", "▁pr ize", "▁pri ze", "в ър", "▁rat ings", "▁rating s", "▁f ore", "▁for e", "▁fo re", "▁ fore", "as ha", "ash a", "a sha", "ur rence", "urr ence", "▁int ér", "▁Ol ímp", "cr a", "c ra", "▁comput ational", "▁computation al", "ir che", "irc he", ".:  ", "▁illustr ated", "▁illustrate d", "▁Sh are", "▁house holds", "▁household s", "▁con volution", "oe md", "oem d", "▁zd oby", "▁zdob y", "cc c", "c cc", "▁quant ities", "Ch e", "C he", "Sh ould", "▁ge nius", "▁gen ius", "ad j", "a dj", "х ва", "Пе тер", "EM A", "E MA", "▁R ights", "▁Right s", "▁E li", "▁El i", "VA R", "V AR", "ш ло", "▁з бір", "ift ung", "▁cont ributed", "▁contrib uted", "▁contribu ted", "▁contribute d", "ze f", "z ef", "▁CH AR", "▁ CHAR", "▁S ib", "▁Si b", "▁M ant", "▁Man t", "▁Ma nt", "▁свя зи", "▁java fx", "▁c ependant", "▁in tu", "▁int u", "▁т вор", "▁ Ó", "gu er", "gue r", "g uer", "ra do", "rad o", "r ado", "▁Re vol", "▁Rev ol", "▁fé min", "▁Or leans", "▁p oj", "▁po j", "▁p rez", "▁pr ez", "▁pre z", "Te x", "T ex", "ou wd", "ouw d", "? (", "▁L IM", "▁LI M", "ist ique", "isti que", "es ar", "esa r", "▁he ures", "ic ki", "ick i", "i cki", "▁d bo", "▁db o", "▁ dbo", "sk ih", "ski h", "s kih", "conf irm", "▁vil ág", "▁ci utat", "▁D R", "▁ DR", "▁Haw ai", "ch ed", "che d", "c hed", "▁s pher", "▁sp her", "▁Art ikel", "▁Multi ple", "ci u", "c iu", "▁м ы", "▁ мы", "▁lip ca", "]( /", "] (/", "Str ategy", "▁Al abama", "SD K", "S DK", "UT C", "U TC", "__ .", "_ _.", "Arg uments", "Argument s", "▁set ContentView", "î le", "By Val", "▁J VM", "юще го", "▁Leon ard", "▁just ify", "це м", "ц ем", "▁n ab", "▁na b", "▁ nab", "CCE SS", "C CESS", "▁hope s", "▁ho pes", "▁hop es", ") &", "se ro", "ser o", "s ero", "▁за й", "слі д", "▁R ég", "▁Ré g", "▁S ang", "▁San g", "▁Sa ng", "▁f ung", "▁fun g", "▁fu ng", "ba ar", "b aar", "▁coff ee", "ass embly", "▁В ін", "▁Ві н", "э й", "▁comp rend", "▁compr end", "fil led", "fill ed", "f illed", "р д", "od ia", "odi a", "o dia", "▁g ens", "▁ge ns", "▁gen s", "▁ gens", "fl uss", "flu ss", "f luss", "Draw able", "▁sur ve", "▁surv e", "Set up", "▁n ależ", "▁conj unto", "▁Е го", "▁old al", "▁ol dal", "▁ver bose", "▁verb ose", "▁Elect ric", "▁H arrison", "▁Harr ison", "▁Harris on", "en gen", "eng en", "par agraph", "para graph", "▁n ouvelles", "▁nouve lles", "▁nouvelle s", "▁вре ме", "▁m emor", "▁me mor", "▁mem or", "▁mayo ría", "▁mayor ía", "са д", "▁bat aille", "▁bata ille", "▁therm al", "▁ther mal", "▁Хро нологи", "▁B etter", "▁Bet ter", "by e", "b ye", "▁теа тра", "ro e", "r oe", "▁se gle", "▁seg le", "ro tt", "rot t", "r ott", "▁opin ions", "▁opinion s", ")} )", ") })", "üh le", "ühl e", "▁G ün", "▁Gü n", "▁ Щ", "b ól", "▁Lar ry", "▁so lic", "▁sol ic", "▁z war", "▁zw ar", "▁Car oline", "▁Carol ine", "▁Reich s", "Ext ensions", "Extension s", "mi gr", "m igr", ": @", "▁en umerate", "▁enumer ate", "▁ enumerate", "▁eigen en", "▁eig enen", "▁expl ore", "▁explo re", "ém u", "é mu", "▁g at", "▁ga t", "▁ gat", "▁imper ial", "▁Us ually", "▁t ud", "▁tu d", "▁у кра", "hi m", "h im", "▁cor ners", "▁corner s", "▁corn ers", "▁S ER", "▁SE R", "▁ SER", "▁interpre ter", "▁interpret er", "▁I ce", "▁amount s", "▁P ala", "▁Pa la", "▁Pal a", "▁t inha", "▁tin ha", "vo le", "vol e", "v ole", "▁g le", "▁gl e", "▁ gle", "uc ci", "▁sie he", "Jac k", "J ack", "▁w oll", "▁wo ll", "▁wol l", "▁e lder", "▁el der", "▁ко раб", "▁eng ag", "▁La urent", "▁Laur ent", "▁Lau rent", "▁ach iev", "ist ik", "isti k", "ar ct", "arc t", "тно го", "т ного", "▁g ir", "▁gi r", "▁Sing h", "▁Sin gh", "math op", "US A", "U SA", "▁Pro jekt", "▁de be", "▁deb e", "richt ung", "r ichtung", "▁T sch", "▁Ts ch", "um inate", "umin ate", "▁s zó", "▁sz ó", "ly ph", "зи дент", "зиден т", "▁lim itations", "▁limit ations", "▁limitation s", "юще й", "▁b ila", "▁bi la", "▁bil a", "P ush", "▁off ering", "▁offer ing", "ien nes", "ienne s", "ienn es", "i ennes", "Fr i", "F ri", "▁post gresql", "▁ postgresql", "▁Tom my", "▁partic olare", "▁stolet í", "▁ar rib", "▁arr ib", "▁E va", "▁Ev a", "sch ool", "▁v endor", "▁ven dor", "▁vend or", "▁ vendor", "▁D allas", "▁Dal las", "▁pro long", "CRE ATE", "C REATE", "▁suiv ante", "STAT US", "l à", "k v", "▁h äufig", "▁Agr icult", "▁h uit", "▁hu it", "▁in oltre", "▁L loyd", "▁францу з", "▁вы пол", "▁faith ful", "▁В ар", "▁Ва р", "▁ver l", "▁ve rl", "▁ju ego", "▁Резу лтати", ", ...,", "▁implicit ly", "ir ks", "irk s", "Cal cul", "▁m eses", "▁mes es", "om ed", "ome d", "o med", "▁p ak", "▁pa k", "he rit", "her it", "▁opt ical", "▁І сторія", "ve is", "▁capital e", "▁capit ale", "place holder", "int rag", "▁At las", "▁Atl as", "▁ Atlas", ")] ;", ") ];", "ic ons", "ico ns", "icon s", "i cons", "▁B ent", "▁Be nt", "▁Ben t", "▁W idget", "▁ Widget", "▁vol unt", "av o", "a vo", "ég r", "é gr", "li ge", "lig e", "l ige", "▁N AME", "▁NA ME", "▁ NAME", "▁ab stra", "▁abs tra", "▁f ís", "▁B rowser", "▁Brow ser", "▁ Browser", "▁b ush", "▁bu sh", "▁bus h", "ha ll", "hal l", "h all", "▁cloud s", "▁S UB", "▁SU B", "▁ SUB", "▁t andis", "▁tan dis", "▁Common wealth", "та я", "▁exha ust", "________ ________", "▁Stat istics", "▁Statist ics", "▁Relig ion", "▁Mu ham", "ual s", "ua ls", "u als", "go to", "got o", "g oto", "Dig ital", "Famil y", "▁B un", "▁Bu n", "let in", "Man agement", "▁cap abilities", "an nten", "ann ten", "annt en", "annte n", "▁се бе", "▁st ays", "▁stay s", "▁sta ys", "kt er", "kte r", "k ter", "▁d ost", "▁do st", "▁dos t", "▁Т ре", "ло вич", "лови ч", "л ович", "▁d ying", "▁dy ing", "se ctions", "section s", "sect ions", "án os", "á nos", "▁app arten", "▁appar ten", "▁appart en", "▁zo als", "▁dr essed", "▁dress ed", "▁com press", "▁comp ress", "▁compr ess", "ń ska", "▁sierp nia", "▁ти ту", "diction ary", "d ictionary", "▁r abb", "▁ra bb", "▁vé rit", "В о", "▁sing leton", "▁single ton", "▁v ital", "▁vi tal", "▁vit al", "▁vita l", "Ref resh", "ме ль", "м ель", "▁Z h", "▁Af ghan", "in kel", "ink el", "aa aa", "▁particip ants", "ar in", "ari n", "a rin", "▁M old", "▁Mo ld", "▁Mol d", "▁prim eros", "▁prime ros", "▁primer os", "▁ра н", "▁р ан", "▁ ран", "▁А мери", "▁restaur ant", "év el", "é vel", "▁S L", "▁ SL", "▁R ey", "▁Re y", "ch as", "cha s", "c has", "▁elect rons", "▁electron s", "▁electro ns", "▁Pitt s", "▁Pit ts", "▁J ules", "▁Jul es", "▁Ju les", "ма й", "en ant", "ena nt", "e nant", "- }", "ла д", "▁Мос ква", "▁Моск ва", "go m", "g om", "▁Fern ández", "fun d", "fu nd", "f und", "int erno", "inter no", "intern o", "▁M ari", "▁Mar i", "▁Ma ri", "▁r ius", "▁ri us", "▁Pro zent", "ст рі", "стр і", "▁в нут", "ant erie", "ante rie", "anter ie", "▁п рис", "▁при с", "▁пр ис", "▁о бы", "▁об ы", "▁M arina", "▁Mar ina", "▁Mari na", "▁occ urrence", "▁occur rence", "▁occurr ence", "ri kt", "rik t", "r ikt", "▁фи зи", "▁sch wer", "▁schw er", "▁Г ре", "Re set", "Res et", "▁much o", "▁mu cho", "an dr", "and r", "▁W ies", "▁Wi es", "▁Wie s", "▁Ke ith", "▁Jul ian", "▁Juli an", "▁Julia n", "▁c ole", "▁col e", "▁co le", "▁ cole", "ci endo", "c iendo", "▁Cont empor", "et ry", "etr y", "e try", "el ian", "eli an", "elia n", "ги и", "▁го ло", "▁г оло", "▁d él", "▁dé l", "▁de cent", "▁dec ent", "▁dece nt", "Р СР", "▁sze ptember", "ме ст", "cast le", "▁держа в", "}\" )", "} \")", "▁ASC II", "▁G len", "▁Gl en", "itzer land", "T oggle", "▁trad icional", "▁P lat", "▁Pl at", "▁Pla t", "ve e", "v ee", "ab gerufen", "( |", "CL I", "C LI", "}} $,", "}}$ ,", "} }$,", "▁Bow l", "▁M ale", "▁Ma le", "▁Mal e", "▁B res", "▁Br es", "▁Bre s", "▁п си", "▁Ch allenge", "z ó", "▁pro jekt", "▁neg oti", "ab ove", "a bove", "▁пери о", "▁long est", "▁lon gest", "auth entic", "▁tr adu", "▁tra du", "▁trad u", "▁mujer es", "▁And re", "▁ha dn", "▁had n", "▁Sch ule", "▁Schul e", "ode l", "od el", "o del", "ble d", "bl ed", "b led", "▁T rade", "▁Tr ade", "▁Tra de", "▁Trad e", "▁m obil", "▁mo bil", "▁mob il", "▁alg unas", "▁L ak", "▁La k", "▁Connect icut", "▁al co", "▁alc o", "▁Sel bst", "i ł", "▁a lb", "▁al b", "ouver neur", "ouvern eur", "▁s r", "▁ sr", "▁v ba", "▁vb a", "lo ped", "lop ed", "l oped", "▁Par tei", "▁Part ei", "▁Parte i", "ua te", "u ate", "▁Auth entication", "▁ Authentication", "be i", "b ei", "}} .", "} }.", "▁kon nten", "▁konn ten", "▁konnte n", "▁до по", "▁h yd", "▁hy d", "Off ice", "d onnées", "▁C leveland", "ri ta", "rit a", "r ita", "ío s", "í os", "▁вы ше", "▁Ro berts", "▁Robert s", "▁é lections", "▁élect ions", "▁' ')", "▁'' )", "▁publish ing", "▁b apt", "▁ba pt", "<> ();", "< >();", "miss ing", "mis sing", "рова но", "рован о", "р овано", "▁ho using", "▁hous ing", "▁in ference", "▁infer ence", "▁Rena issance", "▁r èg", "▁Ste ph", "▁Step h", "CE S", "C ES", "ER E", "E RE", "ке т", "к ет", "O U", "▁group ing", "ver kehr", "ji h", "j ih", "ag li", "▁mil k", "la it", "l ait", "St age", "▁by ly", "▁byl y", "▁wood en", "▁wo oden", "ke ley", "kel ey", "kele y", "et ra", "etr a", "e tra", "▁P eg", "▁Pe g", "▁don né", "▁donn é", "ad al", "ada l", "a dal", "sequ ently", "▁ins besondere", "EL D", "E LD", "▁M am", "▁Ma m", "▁vol te", "▁volt e", "▁pro spect", "▁pros pect", "но ве", "нов е", "н ове", "▁den oted", "▁denote d", "▁over lay", "Per mission", "Perm ission", "ee n", "e en", "▁E M", "▁ EM", "▁u z", "▁ uz", "M c", "ol it", "oli t", "o lit", "▁ser vi", "▁serv i", "▁He idel", "▁Wien er", "▁Wi ener", "▁Wie ner", "▁il legal", "▁predict ions", "▁prediction s", "▁go og", "ho n", "h on", "▁Cin ema", "▁ре волю", "▁R ule", "▁Ru le", "▁ Rule", "wo d", "w od", "▁rad iation", "▁radi ation", "o ł", "ово ї", "▁Per form", "▁prison er", "▁a met", "▁am et", "▁fig ura", "▁figur a", "▁Comm ander", "▁Command er", "▁о фициаль", "▁t rov", "▁tr ov", "▁tro v", "▁a cted", "▁act ed", "▁ac ted", "▁work flow", "▁Республи ки", "▁guid ance", "▁м ене", "▁ме не", "▁мен е", "▁ мене", "N ational", "▁K el", "▁Ke l", "web pack", "про стра", "▁llam ado", "al og", "alo g", "a log", "ter ra", "ix en", "le graph", "leg raph", "ä ischen", "▁teach ers", "▁teacher s", "ud en", "ude n", "u den", "▁o gså", "pos sible", "poss ible", "▁S oul", "▁So ul", "▁Sou l", "▁Ge ography", "▁за да", "hi t", "h it", "▁an ger", "▁ang er", "▁ange r", "▁ anger", "▁rem porte", "▁remp orte", "Po d", "P od", "ч ке", "▁a ria", "▁ar ia", "▁ aria", "▁A stronom", "ch apter", "▁f ork", "▁for k", "▁Cu ando", "men se", "m ense", "▁Christ ians", "▁Christian s", "g c", "▁# (", "Or gan", "▁ste ady", "▁stead y", "ps e", "p se", "жи ть", "ig nes", "ign es", "igne s", "ater ra", "a terra", "mo vie", "mov ie", "m ovie", "pos ta", "po sta", "post a", "p osta", "ra ste", "ras te", "r aste", "▁Res source", "▁Ress ource", "▁Pa ís", "▁( );", "▁() ;", "▁ ();", "▁pen alty", "т т", "▁tras fer", "cent ury", "▁clean er", "sel enium", "s elenium", "ort heast", "orth east", "xi c", "x ic", "лі ї", "л ії", "▁ingles e", "▁T ang", "▁Ta ng", "▁Tan g", "▁g ods", "▁go ds", "▁god s", "fr ent", "fre nt", "f rent", "ci ente", "cient e", "c iente", "st arts", "start s", "star ts", "▁mus ica", "▁music a", "ymnas ium", "-- --+", "---- +", "--- -+", "- ---+", "▁ter rest", "▁terre st", "▁retr ieved", "▁retrieve d", "ia re", "iar e", "i are", "un ning", "unn ing", "▁Mar cus", "▁Marc us", "▁prom ote", "war ning", "warn ing", "w arning", "ты й", "т ый", "}) $,", "})$ ,", "} )$,", "Trans port", "▁re son", "▁res on", "▁C lo", "▁Cl o", "▁e rm", "▁er m", "▁ erm", "▁elimin ate", "▁elim inate", "he imer", "heim er", "▁s aves", "▁sa ves", "▁sav es", "▁save s", "▁pr ayer", "▁pra yer", "▁pray er", "Class es", "Ex press", "Exp ress", "Expr ess", "▁Akadem ie", "El se", "Tu rn", "T urn", "▁ik ke", "▁re i", "▁r ei", "▁ rei", "▁di rett", "▁dire tt", "▁dir ett", "▁R ost", "▁Ro st", "▁Ros t", "▁P apa", "▁Pa pa", "▁Pap a", "▁j sf", "▁js f", "ле нием", "ление м", "▁T ul", "▁Tu l", "▁Z ak", "▁Za k", "▁niem ieck", "T w", "am our", "amo ur", "ne sted", "nes ted", "nest ed", "n ested", "pp ets", "ppe ts", "ppet s", "ш п", "di t", "d it", "зе н", "з ен", "zy ma", "zym a", "hr te", "Constra ints", "Constraint s", "▁own ership", "▁owner ship", "Ar m", "A rm", "▁cons umption", "▁consum ption", "▁f et", "▁fe t", "iv ari", "iva ri", "i vari", "ch rom", "chr om", "set Attribute", "▁com pose", "▁comp ose", "▁compos e", "▁ compose", "▁back ing", "▁P az", "▁Pa z", "▁s cri", "▁sc ri", "▁scr i", "▁ scri", "▁Me chan", "▁Nor way", "▁J up", "▁Ju p", "▁m ér", "▁mé r", "▁administr ator", "▁c abe", "▁ca be", "▁cab e", "ival ent", "▁thr one", "▁thro ne", "▁d ues", "▁du es", "▁due s", "▁hum or", "▁hu mor", "▁A dri", "▁Ad ri", "▁ab ort", "ña s", "ñ as", "▁Ки їв", "j ící", "▁zwe ite", "▁zwei te", "▁do ub", "▁dou b", "er shell", "ers hell", "шо й", "▁F am", "▁Fa m", "å k", "▁twe ede", "▁twee de", "▁R ib", "▁Ri b", "▁f ør", "pc ión", "p ción", "in ned", "inn ed", "rv m", "r vm", "▁App ar", "▁Ap par", "▁D j", "▁S hang", "▁Sh ang", "Dist ance", "D istance", "▁d awn", "▁da wn", "▁ dawn", "▁Mat th", "▁Matt h", "▁err ichtet", "ph antom", "phan tom", "▁re leases", "▁release s", "Recogn izer", "▁K op", "▁Ko p", "▁P ul", "▁Pu l", "u é", "na ts", "nat s", "n ats", "re lax", "rel ax", "▁f led", "▁fl ed", "▁fle d", "▁experience s", "▁experien ces", "ще е", "ме ня", "мен я", "▁пер сона", "▁Id entity", "▁Ident ity", "▁ Identity", "re ts", "ret s", "r ets", "k unft", "la rg", "lar g", "l arg", "List Item", "v d", "run ner", "la nt", "lan t", "l ant", "ip art", "i part", "ba y", "b ay", "ie i", "i ei", "▁length s", "▁c attle", "▁catt le", "je ts", "jet s", "j ets", "▁se hen", "J ul", "fa tt", "f att", "▁sur render", "▁surr ender", "▁Tr ump", "▁Tru mp", "дно го", "д ного", "▁Four ier", "▁Fou rier", "ie ben", "ieb en", "i eben", "_ \"", "▁frü her", "▁gar ant", "▁ga rant", "uclide an", "äg t", "ä gt", "▁пів ден", "Page s", "Pa ges", "P ages", "▁r ivers", "▁river s", "▁riv ers", "▁ri vers", "▁don ner", "▁donn er", "▁donne r", "sv n", "s vn", "▁ ł", "ov ě", "o vě", "▁Le ist", "ar ial", "ari al", "aria l", "a rial", "ov ých", "ový ch", "▁f illing", "▁fil ling", "▁fill ing", "▁mus icale", "▁music ale", "▁musical e", "▁musica le", "ma xim", "max im", "▁d ashed", "▁das hed", "▁dash ed", "▁Н ов", "▁Но в", "Draw er", "Dra wer", "▁Medic ine", "▁dok ument", "ow el", "owe l", "o wel", "vi ć", "v ić", "he ly", "hel y", "h ely", "▁e let", "▁el et", "▁ele t", "Sec onds", "Second s", "▁Gon z", "ro u", "r ou", "▁fin ales", "▁final es", "▁finale s", "r n", "f ø", "▁index ed", "class Name", "▁o ber", "▁ob er", "▁ ober", "▁du as", "▁optim ized", "▁optimize d", "▁k dy", "vers ary", "ener gy", "▁цент ра", "▁центр а", "▁c urrency", "▁curr ency", "▁ currency", "zy ż", "Li ke", "L ike", "▁Г и", "so no", "son o", "s ono", "▁pa lab", "▁pal ab", "▁p ushing", "▁push ing", "ub lik", "▁H ass", "▁Ha ss", "▁Has s", "}\\ ,\\", "}\\, \\", "} \\,\\", "un ker", "unk er", "▁F actory", "▁Fact ory", "▁ Factory", "▁Res ources", "▁Resource s", "▁ Resources", "date i", "da tei", "dat ei", "▁T ools", "▁To ols", "▁Tool s", "▁ Tools", "▁ste hen", "si me", "sim e", "s ime", "▁Х у", "▁h och", "▁ho ch", "▁Rod ríguez", "zeit ig", "▁Ter ry", "▁Terr y", "▁о бу", "▁об у", "Us age", "urch ase", "l ö", "▁Int roduction", "▁ Introduction", "▁particip ation", "ο ς", "og li", "ap y", "a py", "▁hope fully", "pon der", "po nder", "pond er", "p onder", "▁Y ang", "▁Yan g", "▁Ya ng", "▁prom ises", "▁promise s", "▁вер ну", "▁о стров", "▁ост ров", "^{ +", "▁most ra", "▁mo stra", "▁mos tra", "▁CURL OPT", "H H", "▁std out", "▁ stdout", "▁br illiant", "▁manus cript", "▁de cir", "▁dec ir", "▁B olog", "▁Bo log", "▁Bol og", "▁ме ста", "▁мест а", "▁in visible", "▁C hal", "▁Ch al", "▁Cha l", "▁analy ze", "▁analyz e", "pr ilis", "pril is", "att end", "atten d", "atte nd", "M vc", "th an", "tha n", "t han", "ck o", "c ko", "▁Que bec", "▁pl anta", "▁plan ta", "▁plant a", "▁télé vis", "▁un install", "èn cies", "▁gmin ie", "▁P ref", "▁Pr ef", "▁Pre f", "▁le quel", "Inv ocation", "▁ Í", "▁trans formed", "▁transform ed", "MA N", "M AN", "ge baut", "geb aut", "▁со хра", "▁вто рой", "▁L ith", "▁Li th", "▁Lit h", "wend ung", "▁Polit ik", "▁Sen ator", "▁L L", "▁ LL", "жде ние", "ш те", "▁C és", "▁b ande", "▁band e", "▁ban de", "▁ba nde", "▁histor ian", "▁historia n", "▁pass words", "▁password s", "mal loc", "m alloc", "▁sem if", "▁semi f", "▁r å", "▁ rå", "unic í", "uni cí", "Av ailable", "Option al", "Opt ional", "▁T we", "▁Tw e", "▁k ró", "▁kr ó", "▁sub sets", "▁subset s", "▁subs ets", "▁D AT", "▁DA T", "▁ DAT", "▁double s", "▁dou bles", "▁doub les", "ни ками", "ника ми", "▁з в", "ge geben", "geg eben", "g egeben", "▁По пис", "▁jú lius", "▁m eteor", "▁met eor", "Mo unt", "M ount", "iv ent", "ive nt", "iven t", "i vent", "▁N athan", "▁Na than", "▁Nat han", "▁Sch utz", "eg ov", "ego v", "e gov", "▁d öd", "▁me at", "▁пун кт", "▁m inds", "▁min ds", "▁mind s", "eli very", "▁T LS", "ре м", "р ем", "cks å", "▁stay ed", "▁sta yed", "▁B in", "▁Bi n", "▁P ia", "▁Pi a", "▁и мен", "▁име н", "▁им ен", "▁Bob by", "▁produ it", "▁prod uit", "em pio", "emp io", "▁redu cing", "▁Y u", "▁Gesch äft", "▁per ché", "▁c ors", "▁cor s", "▁co rs", "▁i cons", "▁icon s", "▁ic ons", "▁ icons", "App Data", "▁H og", "▁Ho g", "▁р ів", "▁рі в", "▁ рів", "▁S ans", "▁San s", "▁Sa ns", "▁si ège", "▁siè ge", "st ellen", "stell en", "stelle n", "Br ush", "OF F", "O FF", "▁vis itor", "▁visit or", "▁b ath", "▁ba th", "▁bat h", "▁f ee", "▁fe e", "at isf", "ati sf", "atis f", "▁cu rv", "▁cur v", "▁fol gender", "▁folg ender", "▁cons cience", "▁Se attle", "▁med ieval", "▁medi eval", "dist ribution", "▁D M", "▁ DM", "▁м я", "▁ мя", "▁R UN", "ak ov", "ako v", "a kov", "ce il", "c eil", "▁let ting", "▁lett ing", "▁d ov", "▁do v", "▁о би", "▁об и", "ki ej", "kie j", "k iej", "▁dire kt", "▁t m", "▁ tm", "col ors", "color s", "colo rs", "▁alt ro", "▁tijd ens", "]{ '", "] {'", "▁B om", "▁Bo m", "▁k unst", "▁kun st", "▁sh elter", "▁r av", "▁ra v", "▁ rav", "pre dict", "pred ict", "▁comenz ó", "▁świ at", "▁św iat", "▁Du rant", "▁Dur ant", "▁sch emes", "▁scheme s", "▁sche mes", "▁m esh", "▁me sh", "▁mes h", "▁ind icator", "▁indic ator", "▁E mer", "▁Em er", "▁gu ilty", "не ц", "▁consequ ences", "▁consequence s", "cl udes", "clude s", "clud es", "▁L ower", "▁Lo wer", "▁Low er", "▁ Lower", "▁по ме", "▁p ace", "▁pa ce", "▁pac e", "▁ pace", "да го", "▁am bos", "▁amb os", "l b", "▁educ ated", "ur ale", "ura le", "ural e", "u rale", "an h", "es ség", "ess ég", "▁associ ations", "▁association s", "to wn", "t own", "▁t rif", "▁tr if", "▁tri f", "sample s", "sam ples", "s amples", "bo s", "b os", "▁S pect", "▁Sp ect", "▁Spe ct", "▁Spec t", "▁Ц е", "alt ung", "▁L ob", "▁Lo b", "▁curios ity", "▁We iter", "▁Wei ter", "▁Weit er", "est one", "esto ne", "eston e", "e stone", "▁dem ol", "▁demo l", "▁ap olog", "▁apo log", "▁D ynamic", "▁Dynam ic", "▁ Dynamic", "In ner", "es per", "esp er", "ec z", "e cz", "uel lement", "uelle ment", "▁Hamilton ian", "At las", "▁ar gue", "▁arg ue", "For eign", "F oreign", "col lapse", "▁tér min", "▁electron ic", "▁electro nic", "▁N R", "▁ NR", "▁c orr", "▁cor r", "▁co rr", "▁ corr", "tem ps", "temp s", "Index Path", "я з", "▁tal ál", "to day", "tod ay", "wa ve", "w ave", "▁s ib", "▁si b", "▁с пи", "▁сп и", "▁con vey", "▁conv ey", "▁Gé ographie", "▁Н ью", "▁Hi bernate", "▁t in", "▁ti n", "di c", "d ic", "pp ings", "pping s", "s weise", "▁roll ing", "▁rol ling", "▁ rolling", "▁select s", ")\\ )", ") \\)", "▁po eta", "▁poet a", "▁сте пени", "▁A br", "▁Ab r", "▁hö ch", "▁s tern", "▁st ern", "▁ste rn", "▁ster n", "▁f jär", "▁inst aller", "▁install er", "▁instal ler", "de cl", "dec l", "▁m iser", "▁mi ser", "▁mis er", "▁mise r", "group by", "sub str", "subst r", "▁phen omen", "▁W ing", "▁Win g", "▁Wi ng", "▁f ills", "▁fil ls", "▁fill s", "▁ú nico", "Run ning", "R unning", "Com e", "Co me", "C ome", "ir able", "ira ble", "i rable", "sim eq", "sime q", "▁re mp", "▁r emp", "▁rem p", "ke le", "kel e", "k ele", "li ers", "lie rs", "lier s", "l iers", "▁kwiet nia", "▁inter rupted", "▁interrupt ed", "▁J et", "▁Je t", "=\\ {", "= \\{", "íd o", "í do", "▁Tai wan", "▁воз ра", "▁altern atives", "▁alternative s", "▁T ir", "▁Ti r", "▁Re serve", "▁Res erve", "▁К ур", "▁Ку р", "▁No bel", "▁Nob el", "▁рабо тал", "▁работа л", "▁a xes", "▁ax es", "▁C ependant", "k á", "▁er neut", "▁D emo", "▁De mo", "▁Dem o", "▁ Demo", "comm unic", "con structor", "construct or", "▁Mon day", "▁Mond ay", "N il", "Hash Map", "pay ment", "▁fix ing", "▁A DD", "▁AD D", "▁ ADD", "re view", "rev iew", "▁poss ibil", "▁possib il", "▁g rote", "▁gr ote", "▁gro te", "▁group ed", "▁groupe d", "▁L ima", "▁Li ma", "▁Lim a", "▁A ugen", "▁Au gen", "▁Aug en", "▁o ckså", "on as", "ona s", "o nas", "▁deb ate", "▁In gl", "▁Ing l", "D a", "SO UR", "S OUR", "ett be", "▁Batt alion", "▁F loat", "▁Flo at", "▁ Float", "▁c one", "▁con e", "▁co ne", "read sheet", "co urt", "cou rt", "c ourt", "li gen", "lig en", "lige n", "l igen", "▁Begin n", "▁Beg inn", "▁LI MIT", "▁LIM IT", "▁enjo yed", "▁enjoy ed", "▁Jak ob", "▁t elt", "▁te lt", "▁tel t", "back end", "▁Gemeins ame", "li nt", "lin t", "l int", "al ling", "all ing", "▁b ör", "gr and", "gra nd", "g rand", "▁divers es", "▁diverse s", "▁z wiąz", "▁Kom pon", "▁inner halb", "▁desar rollo", "▁desarroll o", "▁Ma sters", "▁Mas ters", "▁Master s", "io so", "ios o", "i oso", "]` .", "] `.", "▁frances a", "▁franc esa", "A ff", "in ek", "ine k", "i nek", "▁des sin", "▁dess in", "`. `", "` .`", "▁r anks", "▁ran ks", "▁rank s", "бер г", "▁s kal", "▁sk al", "▁S ultan", "▁Sul tan", "А Н", "▁спо соб", "▁contra dict", "▁contrad ict", "▁re com", "▁rec om", "▁Ok lahoma", "▁Vlad imir", "▁m eters", "▁me ters", "▁met ers", "▁meter s", "trans port", "▁cons ulté", "▁consult é", "▁ consulté", "▁A TP", "▁AT P", "eb b", "e bb", "▁vol unte", "▁volunt e", "▁out line", "LI C", "L IC", "▁e uro", "▁eu ro", "Char Field", "med ium", "medi um", "▁Belg ique", "Pro c", "Pr oc", "P roc", "ro utes", "route s", "rout es", "rou tes", "▁cont ribu", "▁contrib u", "! }", "ší m", "š ím", "▁L ess", "▁Le ss", "▁Les s", "▁K ost", "▁Ko st", "▁Kos t", "▁eredet iből", "re ven", "rev en", "r even", "ver ify", "▁S alt", "▁Sal t", "▁Sa lt", "▁shoot ing", "▁sho oting", "▁dis pose", "▁dispos e", "▁disp ose", "uj í", "▁t ierra", "▁tier ra", "▁po ison", "▁poi son", "sa k", "s ak", "periment al", "▁N é", "▁K id", "▁Ki d", "ag yar", "agy ar", "▁archiv álva", "be reich", "bere ich", "í z", "▁R itter", "▁Хронологи ја", "ze um", "да х", "▁gr ünd", "▁program mer", "▁programme r", "▁cons eil", "▁conse il", "▁enc rypt", "integr ation", "C ulture", "▁Circ le", "▁Cir cle", "Ob servable", "▁gen omsnitt", "▁Se lection", "▁Select ion", "▁Sel ection", "▁Sele ction", "▁ Selection", "▁ir regular", "Aut res", "Per cent", "fa ult", "f ault", "▁virt ue", "ą pi", "▁s ess", "▁se ss", "▁ses s", "▁Так же", "Tim estamp", "▁litt érature", "▁mo ż", "▁b orrow", "▁bor row", "▁con ced", "▁conc ed", "▁conce d", "чни к", "ч ник", "▁L und", "▁Lu nd", "ION S", "IO NS", "yn ie", "y nie", "▁S hin", "▁Sh in", "▁o sob", "▁os ob", "b ě", "▁int uit", "▁intu it", "▁на п", "▁p roph", "▁pro ph", "▁pr oph", "▁prop h", "▁p itt", "▁pi tt", "▁pit t", "▁IB M", "▁T ill", "▁Ti ll", "▁h ina", "▁hi na", "▁hin a", "it test", "itt est", "itte st", "gener ator", "▁N in", "▁Ni n", "▁K ot", "▁Ko t", "▁p asser", "▁pass er", "▁pas ser", "▁passe r", "▁dis position", "▁dispos ition", "▁disp osition", "un ing", "uni ng", "u ning", "▁f ame", "▁fa me", "▁fam e", "▁t enia", "▁te nia", "▁ten ia", "an cement", "ance ment", "anc ement", "▁Su isse", "` -", "▁h ombres", "▁hom bres", "▁hombre s", "▁inf inity", "▁infin ity", "▁окон ча", "▁co sm", "▁cos m", "▁D ennis", "▁Den nis", "ba z", "b az", "ha upt", "h aupt", "▁might y", "▁pr ede", "▁pre de", "▁pred e", "us able", "usa ble", "▁ws zyst", "▁wsz yst", "▁l b", "▁ lb", "AB ASE", "A BASE", "j na", "не в", "н ев", "▁as es", "▁ ases", "▁final mente", "й м", "pe ction", "pect ion", "pec tion", "p ection", "▁Stud ien", "▁Norweg ian", "ce go", "c ego", "IN DEX", "IND EX", "or ten", "ort en", "orte n", "▁friend ship", "▁friends hip", "met ro", "m etro", "th ick", "▁Z el", "▁Ze l", "LO W", "L OW", "▁there by", "un ted", "unt ed", "unte d", "▁sur faces", "▁surface s", "ющи м", "%) .", "% ).", "▁W onder", "▁Wo nder", "▁redund ant", "▁G ros", "▁Gr os", "▁Gro s", "▁web sites", "▁website s", "▁v io", "▁vi o", "▁o cas", "▁oc as", "vé s", "v és", "▁G am", "▁Ga m", "d w", "Ind icator", "▁K ob", "▁Ko b", "▁j ack", "▁ja ck", "▁ jack", "Hi nt", "H int", "▁A pol", "▁Ap ol", "▁други е", "▁N UM", "▁ NUM", "▁o fic", "▁of ic", "yst ycz", "▁were ld", "▁wer eld", "мо сти", "LE FT", "▁T ypes", "▁Type s", "▁Ty pes", "▁Typ es", "▁ Types", "se en", "see n", "s een", "un cia", "unc ia", "unci a", "▁n arod", "▁na rod", "▁nar od", "▁это т", "Side note", "S idenote", "ue il", "u eil", "▁от ме", "▁cour ts", "▁court s", "fi r", "f ir", "ur z", "u rz", "чен ко", "Cred entials", "▁imag ination", "it ats", "ita ts", "itat s", "bu ff", "buf f", "b uff", "fl ash", "▁bad ly", "▁w orn", "▁wor n", "▁wo rn", "▁окру гу", "cat alog", "catal og", "c atalog", "li me", "lim e", "l ime", "▁G ill", "▁Gi ll", "▁Gil l", "▁S ent", "▁Se nt", "▁Sen t", "ie lla", "iel la", "i ella", "▁Cra ig", "▁S ele", "▁Se le", "▁Sel e", "▁Indep end", "▁prov incie", "▁provin cie", "os sen", "oss en", "▁за пад", "▁запа д", "▁inf ant", "▁pr events", "▁prevent s", "▁prev ents", "▁provin ces", "▁province s", "af é", "be g", "b eg", "▁col ours", "▁colour s", "B F", "ë n", "▁Ме жду", "î n", "Ob server", "for sch", "í gen", "um ption", "ump tion", "▁Ill ustr", "ри ст", "рис т", "▁по лови", "▁пол ови", "▁поло ви", "▁` &", "▁o re", "▁or e", "▁ ore", "▁supp lies", "▁parent hes", "Found ation", "▁v ou", "▁vo u", "▁T out", "▁To ut", "Don ald", "▁R ET", "▁RE T", "we ig", "wei g", "▁produ cción", "mi x", "m ix", "▁ut wor", "▁f öl", "▁fö l", "▁ent ão", "▁S ister", "▁Si ster", "Tag s", "T ags", "▁Савез не", "▁privile ges", "▁na zw", "▁naz w", "▁R av", "▁Ra v", "▁re pro", "▁rep ro", "▁repr o", "▁M ason", "▁Ma son", "▁Mas on", "▁Pl atform", "▁Plat form", "▁ Platform", "▁про бле", "▁P érez", "▁bl anc", "▁bla nc", "▁blan c", "Be havior", "фи ци", "ek en", "e ken", "▁me ets", "▁meet s", "(. *", "( .*", "▁f å", "ep en", "e pen", "ma ker", "make r", "m aker", "▁lo yal", "mem bers", "member s", "m embers", "meister schaft", "go al", "ш лен", "▁се веро", "▁север о", "ie nde", "ien de", "i ende", "д ні", "Pro of", "▁exp lic", "▁expl ic", "▁elect ro", "ie ls", "iel s", "i els", "re load", "▁el even", "▁ele ven", "▁elev en", "▁part idos", "▁partido s", "în e", "î ne", "▁R egin", "▁Re gin", "▁Reg in", "▁é x", "▁Bu lg", "▁Bul g", "▁network ing", "▁net working", "▁se parator", "▁separ ator", "User Name", "▁edific io", "▁M ie", "▁Mi e", "▁id le", "ye d", "y ed", "▁pass engers", "▁passenger s", "+ )", "me no", "men o", "m eno", "eg gi", "e ggi", "▁nice ly", "▁nic ely", "end encia", "enden cia", "чи й", "ét és", "été s", "ight arrow", "▁orth ogonal", "▁H alf", "▁Hal f", "▁fe wer", "▁few er", "▁pro pi", "▁prop i", "▁pr imit", "▁prim it", "▁pri mit", "▁primi t", "ic ale", "ical e", "ica le", "▁f lower", "▁fl ower", "▁flow er", "▁flo wer", "mer k", "m erk", "▁Оте че", "▁pers istent", "▁persist ent", "▁V ille", "▁Vill e", "▁Vi lle", "▁Vil le", "Me n", "M en", "ga ben", "gabe n", "g aben", "▁Isa ac", "at ivity", "ativ ity", "ati vity", "▁pół noc", "▁r ok", "▁ro k", "▁ rok", "car ds", "card s", "c ards", "де ния", "▁ю го", "▁extra ordinary", "▁k yr", "(\" ,", "( \",", ")) ]", ") )]", "▁un ix", "▁ unix", "ко л", "▁s ink", "▁sin k", "ap sed", "aps ed", "▁k ommen", "▁kom men", "▁komm en", "▁ kommen", "▁for cing", "Ab out", "▁H alle", "▁Ha lle", "▁Hall e", "▁Hal le", "▁Maj esty", "▁Sw itch", "▁ Switch", "▁ab road", "▁acceler ation", "ur bed", "urb ed", "▁о стан", "▁ос тан", "▁оста н", "▁ост ан", "Re ady", "Read y", "▁пів ні", "Br a", "B ra", "▁ць ого", "▁pl ut", "▁T rain", "▁Tr ain", "▁Tra in", "▁á prilis", "▁p uesto", "▁pu esto", "▁pue sto", "▁t oss", "▁to ss", "▁irre levant", "▁d ip", "▁di p", "se gment", "seg ment", "op acity", "▁lors que", "▁versch ill", "ен а", "е на", "▁D oc", "▁Do c", "▁ Doc", "%%%% %%%%", "▁b orders", "▁border s", "▁bor ders", "▁bord ers", "ge bras", "geb ras", "gebra s", "▁r ies", "▁ri es", "▁ ries", "▁Olymp edia", "▁Gener ation", "met ros", "metro s", "▁hor izon", "▁adapt ation", "▁Z ahl", "▁Za hl", "▁na he", "▁nah e", "▁B ug", "▁Bu g", "P icture", "љ и", "R GB", "O wner", "ad in", "adi n", "a din", "▁Catal unya", "ný ch", "n ých", "▁cual quier", "▁Inst itution", "▁Instit ution", "▁Institut ion", "in sen", "ins en", "▁Bras ile", "▁Brasil e", "▁f itting", "▁fit ting", "De leg", "Del eg", "ic two", "ict wo", "▁Ex per", "▁Exp er", "och astic", "▁d us", "▁du s", "▁по ра", "▁пор а", "▁sub string", "▁subst ring", "▁subs tring", "▁substr ing", "▁ substring", "сси и", "с сии", "oi n", "o in", "▁ш кола", "▁шко ла", "▁c x", "▁ cx", "▁% )", "▁ %)", "▁Bud dh", "▁p ending", "▁pen ding", "▁En try", "▁Ent ry", "▁ Entry", "▁Be rl", "▁Ber l", "▁c ler", "▁cl er", "▁cle r", "▁ cler", "▁S oc", "▁So c", "▁r ounded", "▁round ed", "▁m v", "▁ mv", "ít ett", "▁Di plom", "▁französ ischen", "▁G an", "▁Ga n", "▁Inv estig", "▁index Path", "▁ indexPath", "▁mol ti", "▁molt i", "pers istence", "▁XIX e", "▁Elect ron", "b ü", "ge le", "gel e", "g ele", "▁M aler", "▁Ma ler", "▁Mal er", "▁Male r", "▁proyect o", "▁B ath", "▁Ba th", "▁Bat h", "el lers", "ell ers", "elle rs", "eller s", "▁G P", "▁ GP", "on ing", "oni ng", "o ning", "clou dflare", "▁p ři", "▁př i", "▁d ed", "▁de d", "▁ ded", "▁Od kazy", "▁M sg", "▁ Msg", "▁B eing", "▁Be ing", "▁Bei ng", "▁De puis", "▁Dep uis", "▁Pri mary", "▁Prim ary", "▁Prima ry", "▁ Primary", "▁App ro", "▁Ap pro", "▁form ally", "▁formal ly", "ступ ил", "ступи л", "▁fue ra", "▁fu era", "▁fuer a", "▁R oot", "▁Ro ot", "▁ Root", "▁aut onom", "▁auto nom", "▁secret ary", "▁os ób", "▁cu ales", "▁cual es", "▁Dep ending", "▁a si", "▁as i", "▁ asi", "ve ra", "ver a", "v era", "▁rus se", "▁russ e", "▁pro ves", "▁prov es", "▁prove s", "▁pres iden", "R U", "▁Wat son", "▁web pack", "▁ webpack", "elli gence", "ellig ence", "ка м", "▁Office r", "▁Offic er", "▁d elivery", "▁deliver y", "▁deli very", "ж дён", "▁им пе", "▁w il", "▁v esc", "▁ve sc", "▁ves c", "uszt us", "▁Ge off", "() }", "( )}", "▁F ore", "▁For e", "▁Fo re", "▁w enig", "▁we nig", "▁wen ig", "▁A irl", "▁Air l", "▁E fter", "▁Bre ak", "▁St äd", "is miss", "ism iss", "í p", "▁avoid ed", "▁avo ided", "▁assert ion", "D N", "▁te at", "▁tea t", "ín a", "í na", "▁mechan ical", "is u", "i su", "@ {", "▁n ou", "▁no u", "▁ nou", "Ital ie", "source forge", "▁s vo", "▁sv o", "▁kir ály", "▁Re ferences", "▁Refer ences", "▁Reference s", "si x", "s ix", "▁Arch ives", "▁Archiv es", "▁Archive s", "▁fin ishing", "▁finish ing", "ac je", "ét at", "éta t", "é tat", "if fs", "iff s", "▁st ead", "▁ste ad", "▁fe as", "aw are", "awa re", "a ware", "la nde", "land e", "lan de", "l ande", "In ject", "▁A gent", "▁Ag ent", "▁Age nt", "▁ Agent", "▁Norm datei", "▁a men", "▁am en", "▁ amen", "▁Arch itecture", "az e", "a ze", "ș te", "▁us ar", "▁c ores", "▁cor es", "▁co res", "▁core s", "лі н", "л ін", "▁C astro", "▁Cast ro", "▁v æ", ">\" ,", "> \",", "om ena", "ome na", "omen a", "▁ge sam", "▁ges am", "▁Mart ín", "▁Martí n", "eg ung", "egu ng", "▁spole č", "▁ampl itude", "▁amplit ude", "▁import ing", "▁list view", "TH E", "T HE", "zi ale", "zial e", "zia le", "z iale", "ce des", "ced es", "c edes", "▁particul ier", "▁Распо дела", "▁кра й", "▁d ivent", "▁di vent", "▁div ent", "▁k é", "▁ ké", "qu it", "qui t", "q uit", "то ром", "тор ом", "Check Box", "▁Zob acz", "ph e", "p he", "pt a", "p ta", "▁s jö", "▁sj ö", "▁розта ш", "▁tedes co", "▁s tal", "▁st al", "▁sta l", "▁ stal", "▁Be ruf", "▁Ber uf", "ова я", "о вая", "▁s vě", "▁sv ě", "▁fl ush", "▁flu sh", "▁ flush", "▁від бу", "▁rad ial", "▁radi al", "▁différ entes", "ан та", "▁Per ry", "Col l", "Co ll", "C oll", "li qu", "l iqu", "▁Option al", "▁Opt ional", "▁ Optional", "▁Сан кт", "▁LIN Q", "▁Fran c", "▁Fr anc", "▁Fra nc", "ci je", "c ije", "▁Gu illaume", "kn ow", "k now", "▁Un its", "▁Unit s", "ol k", "▁Syst ème", "▁S ales", "▁Sal es", "▁Sa les", "▁ehemal igen", "ми рова", "мир ова", "x html", "set opt", "▁m ellan", "▁mel lan", "▁z ie", "▁ zie", "▁gi ant", "Bo ard", "▁C aval", "▁Ca val", "▁Cav al", "▁def ence", "-- --------", "---- ------", "-------- --", "--- -------", "------ ----", "----- -----", "------- ---", "ps hire", "p shire", "ma rt", "mar t", "m art", "▁Di oc", "is kt", "isk t", "▁in se", "▁ins e", "▁é pisode", "чи к", "bar s", "ba rs", "b ars", "Si to", "S ito", "▁integr ity", "au ff", "auf f", "a uff", "▁v är", "▁vä r", "Az ure", "▁star b", "▁sta rb", "▁кон тра", "▁Мекси чка", "▁за па", "▁Mount ains", "▁Mountain s", "}} =", "} }=", "▁pull ing", "▁pul ling", "▁sat ellite", "▁at oms", "▁atom s", "▁profes or", "▁repeated ly", "▁repeat edly", "▁inv asion", "▁invas ion", "program ming", "├ ──", "▁L ip", "▁Li p", "вши е", "в шие", "▁k een", "▁ke en", "▁crit ics", "▁critic s", "▁N icola", "▁Nicol a", "▁Nic ola", "▁Ni cola", "▁C and", "▁Can d", "▁Ca nd", "▁dist int", "▁he ading", "▁head ing", "p ragma", "{ |", "ym en", "yme n", "y men", "▁ter rain", "▁terra in", "ied enis", "▁bes onders", "▁nomin ated", "BO OL", "▁K ay", "▁Ka y", "ci an", "cia n", "c ian", "st elle", "ste lle", "stell e", "▁disput e", "▁disp ute", "▁ щ", "Data Set", "no thing", "not hing", "n othing", "Aut om", "Auto m", "hör en", "hö ren", "▁s hed", "▁sh ed", "▁she d", "▁p aused", "▁pa used", "▁pause d", "▁pau sed", "sa n", "s an", "▁nun ca", "!( \"", "! (\"", "▁po łoż", "Se cret", "Sec ret", "▁Do main", "▁Dom ain", "▁ Domain", "▁воз мож", "X V", "l v", "ik h", "i kh", "▁S ony", "▁So ny", "▁Son y", "m q", "ot rop", "otr op", "▁Log ger", "▁ Logger", "▁thre at", "as ted", "ast ed", "aste d", "a sted", "зь ко", "▁fre ely", "▁free ly", "▁improve ments", "▁improv ements", "▁improvement s", "ist ema", "iste ma", "▁illustr ate", "▁t act", "▁ta ct", "▁fig ur", "ué s", "u és", "rim inal", "rimin al", "od on", "odo n", "o don", "int endo", "▁influ enced", "▁influence d", "▁influen ced", "FF ER", "▁G host", "▁Gh ost", "▁со вер", "▁сов ер", "na d", "n ad", "ion ed", "io ned", "ione d", "i oned", "▁Event s", "▁Ev ents", "▁Even ts", "▁ Events", "▁wr apping", "▁wra pping", "▁wrap ping", "-------- -+", "--- ------+", "------ ---+", "----- ----+", "------- --+", "fi f", "f if", "▁( **", "▁(* *", "={ {", "= {{", "ма ль", "м аль", "▁loss es", "▁Gal erie", "te l", "t el", "▁лю того", "▁K ru", "▁Kr u", "▁P olen", "▁Pol en", "▁Po len", "ні м", "ne ar", "nea r", "n ear", "▁sh ame", "▁moy enne", "▁C P", "▁ CP", "pre is", "▁pass enger", "le k", "l ek", "ion ales", "ional es", "ionale s", "iona les", "kaf ka", "k afka", "▁partic ipe", "▁particip e", "▁parti cipe", "▁partici pe", "▁memb ership", "▁member ship", "▁members hip", "[ _", "land o", "lan do", "l ando", "st elling", "stell ing", "Se m", "S em", "go n", "g on", "▁Cor rect", "▁v alle", "▁val le", "▁va lle", "▁vall e", "▁read ily", "▁Dok ument", "hon neur", "h onneur", "▁test im", "ul ative", "do Filter", "▁domin ant", "am mer", "amm er", "▁ко ја", "▁M onsieur", "ze g", "z eg", "▁вій ни", "▁F o", "▁A my", "▁Am y", "▁ ¡", "▁febru ár", "▁down loading", "▁download ing", "▁l eng", "▁le ng", "▁len g", "\\}$ ,", "\\} $,", "\\ }$,", "▁ne at", "▁C ache", "▁Ca che", "▁ Cache", "IC ATION", "▁de ve", "▁dev e", "▁s orrow", "▁sor row", "sl ow", "s low", "▁hin aus", "▁hina us", "▁recon oc", "▁Lin ked", "▁Link ed", "▁Sh aw", "mar ket", "mark et", "▁D ic", "▁Di c", "▁S ki", "▁Sk i", "▁del imiter", "▁Main Activity", "▁ MainActivity", "▁Mus ical", "▁Music al", "▁Re yn", "▁Rey n", "Scroll View", "▁convent ional", "▁convention al", "en ça", "enç a", "▁re factor", "▁ref actor", "' -", "▁H ed", "▁He d", "spr ech", "spre ch", "▁ath let", "▁e species", "▁es pecies", "▁espe cies", "▁espec ies", "▁especie s", "▁Sch ön", "▁kle inen", "▁kleine n", "▁klein en", "ш ко", "▁Й о", "▁H appy", "▁Ha ppy", "multi row", "▁august i", "▁G and", "▁Ga nd", "▁Gan d", "▁appoint ment", "▁Medi abestanden", "Th ree", "▁Kenn eth", "NE W", "▁Not ification", "▁ Notification", "▁Mar x", "▁Ma rx", "▁in sc", "▁ins c", "Mo r", "M or", "вы й", "в ый", "vä st", "v äst", "vi dia", "vid ia", "v idia", "▁demonstr ated", "▁demonstrate d", "font s", "fon ts", "▁k amen", "▁kam en", "▁ka men", "▁S ter", "▁St er", "▁Ste r", "▁mieszkań ców", "▁K oh", "▁Ko h", "~$ \\", "~ $\\", "») .", "» ).", "re ne", "ren e", "r ene", "ins ic", "ic ká", "ick á", "xy gen", "▁m n", "▁ mn", "▁s ched", "▁sc hed", "▁sch ed", "▁sche d", "AS C", "A SC", "I g", "▁Const ant", "▁opport un", "▁My Class", "se f", "s ef", "op ed", "ope d", "o ped", "▁inj ured", "VI S", "V IS", "▁P ero", "▁Per o", "▁Pe ro", "▁U ntil", "▁Un til", "▁f lesh", "▁fl esh", "▁fle sh", "orph ism", "▁Port al", "▁Por tal", "▁gmin y", "▁вла сти", "▁N ä", "кти че", "к тиче", "▁h rab", "▁hr ab", "▁C ub", "▁Cu b", "av oir", "avo ir", "a voir", "▁L ars", "▁La rs", "▁Lar s", "▁Бе ло", "▁seizo en", "▁Gen omsnitt", "▁L il", "▁Li l", "▁P ool", "▁Po ol", "▁ Pool", "▁D ios", "▁Di os", "T X", "ae s", "a es", "aut ore", "auto re", "autor e", "Al pha", "st ates", "state s", "sta tes", "stat es", "La b", "L ab", "n ederbörd", "er ton", "ert on", "▁b rid", "▁br id", "▁ brid", "▁r icht", "▁rich t", "▁ric ht", "▁ri cht", "▁ richt", "▁E la", "▁El a", "▁с ла", "▁ сла", "▁weap on", "▁comb att", "▁combat t", "ag ar", "aga r", "a gar", "▁reg nig", "▁util isé", "▁utilis é", "▁ser vir", "▁serv ir", "▁servi r", "▁b rick", "▁br ick", "▁gate way", "▁tor raste", "▁proced ures", "▁procedure s", "▁års nederbörd", "▁Genomsnitt lig", "чё т", "ч ёт", "▁om rå", "▁ områ", "▁regnig aste", "▁че сть", "▁a mid", "▁am id", "▁ami d", "▁gr ateful", "▁D IS", "▁DI S", "▁ DIS", "DA Y", "▁о ру", "▁ор у", "▁ ору", "▁riv ière", "he ure", "▁Rich mond", "▁Com par", "▁Comp ar", "▁Н ор", "▁Но р", "DO C", "D OC", "es ia", "esi a", "cal c", "▁I U", "▁v org", "▁vo rg", "▁vor g", "▁hab ían", "▁había n", "ço it", "ç oit", "▁a rist", "▁ar ist", "▁к ли", "▁ кли", "▁S ue", "▁Su e", "▁T ouch", "▁To uch", "▁ Touch", "▁Writ ing", "ifi able", "▁w c", "▁with draw", "за р", "з ар", "▁present ly", "▁pres ently", "▁F K", "▁pr akt", "▁pra kt", "▁col ored", "▁color ed", "us b", "u sb", "▁Per ú", "▁pl ata", "▁pla ta", "▁plat a", "▁w ishes", "▁wish es", "▁wis hes", "▁ка м", "▁ кам", "az ar", "aza r", "a zar", "áv el", "á vel", "▁l amp", "▁la mp", "bi shop", "b ishop", "▁in clusion", "▁incl usion", "▁inclus ion", "j q", "ar th", "art h", "▁F lag", "▁Fl ag", "▁ Flag", "▁но р", "▁н ор", "æ dia", "UN CTION", "▁Bahn hof", "▁appro aching", "▁approach ing", "▁G ött", "▁Gö tt", "▁c ube", "▁cu be", "▁cub e", "▁arg ued", "▁argue d", "▁Th ings", "Gu i", "G ui", "до ви", "дов и", "д ови", "▁re cre", "▁rec re", "▁ré seau", "▁rés eau", "▁sign ifica", "▁signific a", "Gi t", "G it", "geb racht", "gebra cht", "▁l iga", "▁li ga", "▁lig a", "▁ liga", "▁ass ured", "al us", "alu s", "a lus", "ри т", "р ит", "▁э нциклопеди", "▁% ).", "▁%) .", "▁ %).", "▁Prem ière", "▁declar ations", "▁declaration s", "▁tr icky", "▁trick y", "▁pro files", "▁prof iles", "▁profile s", "▁profil es", "▁F on", "▁Fo n", "▁J as", "▁Ja s", "â r", "ba bel", "b abel", "▁Fr iday", "▁Fri day", "▁Frid ay", "▁jú nius", "▁c ols", "▁col s", "▁co ls", "▁ cols", "▁EX ISTS", "▁Ital iana", "▁Italian a", "▁Italia na", "▁author ization", "▁s ulle", "▁su lle", "▁sul le", "▁sull e", "▁E mb", "▁Em b", "▁Vari able", "▁ Variable", "tr ees", "tre es", "tree s", "t rees", "▁F ly", "▁Fl y", "ri ors", "rio rs", "rior s", "r iors", "▁da mals", "▁dam als", "▁find et", "▁fin det", "▁Se pt", "▁Sep t", "▁m undial", "▁rem oval", "▁remov al", "▁long itude", "▁longitud e", "cl ic", "cli c", "c lic", "▁f ade", "▁fa de", "▁ fade", "▁grad le", "▁ gradle", "▁z ák", "▁zá k", "▁tim ing", "▁ti ming", "tr ightarrow", "t rightarrow", "at ia", "ati a", "- .", "uch e", "uc he", "u che", "▁ser ialize", "▁serial ize", "▁H mm", "▁Represent atives", "ba h", "b ah", "re nd", "ren d", "r end", "ass ador", "assa dor", "▁sh ield", "uc ion", "u cion", "▁am éricaine", "▁améric aine", "▁américain e", "z ę", "vi lla", "vil la", "v illa", "▁hom bre", "ás s", "á ss", "▁S F", "▁ SF", "▁repe ating", "▁repeat ing", "▁c riter", "▁cr iter", "▁crit er", "▁cri ter", "▁St ruct", "▁Str uct", "▁ Struct", "?? ?", "? ??", "▁che ap", "▁r ings", "▁ring s", "▁rin gs", "ab häng", "▁c orte", "▁cor te", "▁cort e", "▁admin ist", "ix on", "gy pt", "▁punt os", "▁punto s", "▁me zi", "▁mez i", "▁po chod", "▁poc hod", "is ko", "isk o", "i sko", "ni ę", "n ię", "▁о су", "▁ос у", "▁á r", "▁ ár", "те льной", "тель ной", "тельно й", "▁Metropol itan", "ji n", "j in", "ze ss", "zes s", "z ess", "▁ві ці", "▁conflic ts", "▁conflict s", "ij st", "▁Mar ket", "▁Mark et", "ст ров", "стро в", "стр ов", "▁\" ,\"", "▁\", \"", "▁ \",\"", "▁Sc roll", "▁ Scroll", "gu n", "g un", "та ра", "тар а", "▁am ateur", "▁r óż", "pos s", "po ss", "p oss", "▁general ized", "▁H arm", "▁Har m", "▁Ha rm", "ci ta", "cit a", "c ita", "▁Sw itzerland", "ic ola", "ico la", "icol a", "i cola", "▁m uit", "▁mu it", "loc ated", "▁c ó", "▁a rose", "▁ar ose", "▁commun auté", "}) ^", "} )^", "vis ibility", "íd a", "í da", "▁F B", "▁ FB", "▁Fre und", "ga t", "g at", "\": {\"", "int ellij", "if ie", "ifi e", "hm en", "h men", "▁éd ition", "▁ édition", "▁ко је", "▁ін ших", "om ing", "omin g", "omi ng", "o ming", "▁arqu itect", "▁Pres idente", "▁President e", "▁П ід", "▁ca bin", "▁cab in", "The orem", "▁G ay", "▁Ga y", "if ice", "ific e", "ifi ce", "▁h ect", "▁he ct", "l ą", "irm ingham", "▁sem antic", "▁Louis iana", "▁sac rifice", "▁sacr ifice", "▁sacrific e", "▁Christ oph", "▁Exec utive", "_ +", "j ák", "▁s eria", "▁se ria", "▁ser ia", "▁Over flow", "▁ Overflow", "▁Lu cy", "▁Luc y", "▁mel hor", "▁vo ices", "▁voice s", "cz a", "c za", "▁ка пи", "▁университе та", "IN CT", "▁col oc", "▁co loc", "▁pr ue", "▁ge omet", "▁geom et", "▁di retto", "▁dire tto", "▁dir etto", "▁dirett o", "re so", "res o", "r eso", "▁A kt", "▁Ak t", "▁un h", "▁се ри", "▁сер и", "▁Al ert", "▁Ale rt", "▁ Alert", "We l", "W el", "au di", "aud i", "a udi", "äl er", "ä ler", "▁gu ests", "▁guest s", "▁и де", "St udio", "▁ка те", "▁ex ponent", "▁expon ent", "rz e", "r ze", "pm od", "p mod", "ro lle", "roll e", "rol le", "▁Lim ited", "Al lemagne", "▁p ity", "▁pi ty", "▁pit y", "▁l ä", "▁ lä", "▁run ner", "▁ runner", "ke nde", "ken de", "k ende", "E Q", "▁M M", "▁ MM", "sz ág", "по ді", "▁reg ret", "▁publi é", "▁depart amento", "▁acc used", "▁accus ed", "h p", "▁P fl", "▁Pf l", "▁S int", "▁Si nt", "▁Sin t", "▁ek onom", "ra ctor", "rac tor", "ract or", "r actor", "▁П ів", "▁aw ful", "owa ć", "] ->", "▁F ine", "▁Fin e", "С а", "ti s", "t is", "ét a", "é ta", "▁Ро ди", "▁Düsseld orf", "LO B", "L OB", "os as", "osa s", "wer ke", "werk e", "▁l ance", "▁lan ce", "▁листо пада", "▁in complete", "▁P icture", "▁ Picture", "(' \\", "( '\\", "es ters", "est ers", "ester s", "este rs", "e sters", "▁belong ed", "▁S ank", "▁San k", "am med", "amm ed", "▁repos itories", "▁ad dr", "▁add r", "▁ addr", "Col lect", "Coll ect", "H ot", "▁t yl", "▁ty l", "▁instance of", "▁bon us", "ov ý", "▁мо ря", "▁мор я", "▁inter active", "▁interact ive", "▁M ys", "▁My s", "▁Ed mund", "file Name", "em or", "emo r", "e mor", "▁Т ри", "▁R osen", "▁Ro sen", "▁Ros en", "▁Rose n", "▁Pr ima", "▁Pri ma", "▁Prim a", "▁v oting", "▁vo ting", "▁vot ing", "▁X P", "▁Z ero", "▁Ze ro", "▁ Zero", "▁L ed", "▁Le d", "ams ung", "▁en ables", "▁enable s", "▁redirect s", "AS T", "A ST", "Pa int", "P aint", "ack er", "ac ker", "a cker", "le cht", "▁chair man", "▁A ven", "▁Av en", "▁S ach", "▁Sa ch", "▁Sac h", "(\" <", "ке р", "к ер", "▁mist akes", "▁mistake s", "▁We it", "▁Wei t", "▁pro wad", "▁ prowad", "▁did nt", "▁didn t", "én ario", "un less", "▁back wards", "bo a", "b oa", "du ino", "`` `", "` ``", "st or", "sto r", "s tor", "Comple tion", "pu esta", "▁din ast", "úl t", "ú lt", "▁S Y", "▁ SY", "if olia", "œuv res", "œuvre s", "▁r acing", "▁ra cing", "▁rac ing", "▁cab inet", "▁cabin et", "▁cut ting", "▁th umb", "▁Ка ра", "▁Кар а", "high light", "ку п", "▁s d", "▁ sd", "▁на ціональ", "▁camp agne", "▁register s", "▁educ ational", "▁education al", "▁p esar", "▁pes ar", "üg e", "ü ge", "▁o ro", "▁or o", "▁ oro", "burg o", "bur go", "▁Athlet ics", "▁M TV", "get Message", "▁H yp", "▁Hy p", "▁vict im", "▁vic tim", ")) \\", ") )\\", "▁dr ums", "▁dru ms", "▁drum s", "host name", "ta ł", "t ał", "ma king", "m aking", "▁pow iat", "ő d", "thread s", "▁absol v", "▁лю ди", "▁ste pped", "▁step ped", "ex ist", "▁N K", "▁v es", "▁ve s", "▁ ves", "ist iche", "istic he", "isti che", "% '", "at ivos", "ativ os", "ati vos", "ativo s", "▁та кой", "▁тако й", "▁Mongo DB", "▁U ng", "▁Un g", "▁Р ус", "▁Ру с", "▁e lim", "▁el im", "▁F if", "ic ación", "ica ción", "▁T ennis", "▁Ten nis", "▁Jeff erson", "j án", "fo g", "f og", "an ha", "anh a", "zo r", "z or", "▁уні версите", "ah u", "a hu", "ia da", "i ada", "S dk", "Set ting", "▁K ill", "▁Kil l", "▁Ki ll", "▁W end", "▁We nd", "▁b ald", "▁bal d", "▁ba ld", "▁K ub", "▁Ku b", "▁v isto", "▁vis to", "▁vi sto", "▁je unes", "▁jeune s", "▁jeu nes", "col lections", "collection s", "collect ions", "ac í", "a cí", "вро пей", "▁ar ise", "он і", "о ні", "MA IN", "до ступ", "▁b erg", "▁be rg", "▁ber g", "▁ berg", "▁critic ism", "▁Tor re", "▁de script", "▁des cript", "▁descri pt", "ière s", "i ères", "▁e studio", "▁est udio", "▁estud io", "▁i li", "▁il i", "▁ ili", "▁mil itare", "▁milit are", "▁militar e", "▁Cl ara", "▁Cla ra", "▁Clar a", "▁El len", "▁Elle n", "▁Ell en", "lim ited", "limit ed", "л м", "▁Esp añ", "▁inf initely", "▁infinite ly", "Amer ica", "ou c", "o uc", "gl ass", "g lass", "▁r ud", "▁ru d", "▁z at", "▁za t", "▁ zat", "▁r in", "▁ri n", "▁ rin", "▁Bibli ografía", "▁mer chant", "tensor flow", "▁d ér", "▁dé r", "▁Active Record", "IE S", "I ES", "▁link er", "▁lin ker", "▁estud ios", "▁estudio s", "cdn js", "▁Го судар", "án chez", "ap pe", "app e", "a ppe", "cl ub", "c lub", "▁dal ší", "▁Alg orithm", "df s", "d fs", "▁B ac", "▁Ba c", "▁ка фе", "▁& =\\", "▁&= \\", "▁а т", "▁ ат", "▁Г лав", "▁M ou", "▁Mo u", "M achine", "(... )", "( ...)", "▁com part", "▁comp art", "▁compar t", "▁aug usztus", "av an", "ava n", "a van", "▁roll ed", "▁rol led", "▁ rolled", "▁е ди", "▁ еди", "Sc an", "S can", "▁ре гі", "▁świ ata", "▁świat a", "▁m ines", "▁min es", "▁mi nes", "▁mine s", "}, {", "▁T ier", "▁Ti er", "Can not", "C annot", "мі н", "м ін", "▁NE W", "▁ NEW", "▁Во л", "▁M anh", "▁Man h", "▁Greg ory", "▁princi pe", "▁princip e", "▁prin cipe", "IS O", "I SO", "pr og", "pro g", "p rog", "▁F ail", "▁Fa il", "▁ Fail", "▁a a", "▁ aa", "▁fe cha", "▁W CF", "▁mag istr", "▁Z ach", "▁Za ch", "▁un icode", "▁con verter", "▁convert er", "▁conver ter", "▁dis pers", "▁disp ers", "ks am", "k sam", "▁Un cle", "Property Changed", "▁l ider", "▁li der", "▁lid er", "▁o pts", "▁op ts", "▁opt s", "▁ opts", "▁та м", "▁ там", "lock ed", "loc ked", "za k", "z ak", "▁co unted", "▁count ed", "▁coun ted", "▁person e", "▁pers one", "▁hur ried", "ät ter", "ätt er", "ätte r", "▁out ras", "▁ou tras", "▁g enu", "▁ge nu", "▁gen u", "B D", "ve g", "v eg", "du e", "d ue", "▁P ract", "▁Pr act", "▁Pra ct", "▁po sible", "▁pos ible", "▁cont ribute", "▁contrib ute", "▁contribu te", "UM N", "▁Bür ger", "▁w ars", "▁war s", "▁wa rs", "▁exhib ition", "hi ll", "h ill", "▁a str", "▁as tr", "▁ast r", "▁ astr", "▁му зе", "▁C ASE", "▁CA SE", "▁ CASE", "man ifest", "y ellow", "F n", "▁R C", "▁ RC", "▁s ott", "▁so tt", "▁su jet", "▁S ocket", "▁So cket", "▁Soc ket", "▁ Socket", "▁Ch ine", "▁Chi ne", "▁frame works", "▁framework s", "Hol d", "H old", "êt s", "ê ts", "▁ф іль", "▁фі ль", "Lo aded", "Load ed", "op he", "oph e", "o phe", "text e", "tex te", "▁ex pres", "▁exp res", "▁expr es", "▁cons ume", "▁consum e", "▁R ichtung", "ograf i", "▁magn ific", "à t", "▁ind ul", "▁indu l", "ry ty", "▁off ici", "▁offic i", "▁ass ault", "ru nd", "run d", "r und", "▁vari ants", "▁variant s", "▁сель сов", "▁exc itement", "Time s", "Tim es", "T imes", "k otlin", "▁g ering", "▁ge ring", "▁ger ing", "▁En gel", "▁Eng el", "▁T imer", "▁Time r", "▁Tim er", "▁Ti mer", "▁ Timer", "² ).", "▁N g", "äs st", "sch au", "SE rror", "S Error", "▁Ed wards", "▁Edward s", "▁Term inal", "li ct", "lic t", "l ict", "Un der", "Und er", "U nder", "▁sp awn", "ür gen", "▁Außer dem", "▁k itchen", "fah rt", "fahr t", "▁Col ors", "▁Color s", "▁систе ма", "▁систем а", "▁termin ated", "▁terminate d", "▁La TeX", "ig keiten", "igkeit en", "▁mes ure", "▁Am ts", "▁Amt s", "▁emp ir", "▁stri king", "▁strik ing", "▁exclus ive", "те х", "▁re z", "▁r ez", "▁ rez", "▁qu an", "▁q uan", "▁Glas gow", "▁lect ure", "▁Test ament", "▁fun ds", "▁fund s", "▁st essa", "▁tri bes", "▁trib es", "▁tribe s", "▁par fois", "▁tre ball", "ni tz", "nit z", "n itz", "bo ve", "b ove", "▁за слу", "▁ab sent", "▁abs ent", "▁L auf", "▁La uf", "▁Lau f", "Sm ith", "▁Никола й", "▁europé enne", "l r", "▁program ma", "▁mi dst", "▁mid st", "▁daugh ters", "▁daughter s", "S yn", "ob en", "obe n", "o ben", "ân ă", "id an", "ida n", "i dan", "▁t her", "▁th er", "▁the r", "▁ ther", "od ore", "odo re", "odor e", "sd l", "s dl", "▁Q uint", "▁Qu int", "▁cas os", "▁caso s", "▁Z am", "▁Za m", "▁стра ны", "▁sp rite", "▁spr ite", "ка л", "к ал", "▁n asc", "▁na sc", "▁nas c", "▁сот руд", "▁tr ava", "▁tra va", "▁trav a", "▁хо зяй", "▁U ruguay", "▁s parse", "▁sp arse", "▁по ле", "▁пол е", "▁myst ery", "▁myster y", "▁M ang", "▁Man g", "▁Ma ng", "reg istr", "▁CG Float", "▁sub mission", "▁subm ission", "ва на", "ван а", "в ана", "▁\" :", "▁ \":", "▁Trace back", "▁P it", "▁Pi t", "▁E hr", "▁с ра", "▁Graph ics", "▁ Graphics", "Up dated", "Update d", "▁sv ensk", "▁sp acing", "▁spac ing", "tr itt", "tri tt", "t ritt", "▁Gu inea", "▁Fran ça", "▁Fr ança", "As soci", "Ass oci", "▁T ová", "▁To vá", "st ab", "sta b", "s tab", "▁Le arning", "▁Lear ning", "▁B right", "▁Br ight", "▁Brig ht", "ś c", "▁id ő", "}} _{\\", "}}_{ \\", "}}_ {\\", "} }_{\\", "▁dro ite", "▁droit e", "▁ra ising", "get ting", "yth m", "yt hm", "y thm", "on yme", "ony me", "onym e", "ż s", "▁b lah", "▁bl ah", "▁bla h", "▁ blah", "Tag Name", "Vert ical", "▁a per", "▁ap er", "▁ aper", "post gresql", "▁Hand le", "▁ Handle", "ze w", "z ew", "▁sk ulle", "▁op ere", "▁oper e", "lay ers", "layer s", "▁pos sono", "▁poss ono", "▁re late", "▁rel ate", "▁rela te", "ą c", "▁M ih", "▁Mi h", "â ge", "▁Ś wi", "iss es", "isse s", "▁serv let", "▁ servlet", "Lo s", "L os", "▁Ad vanced", "▁Adv anced", "at ica", "ati ca", "atic a", "▁c ed", "▁ce d", "▁ ced", "▁element os", "ро на", "рон а", "р она", "ik s", "i ks", "ar f", "a rf", "ar iat", "ari at", "aria t", "M obile", "ag ua", "agu a", "▁t imp", "▁tim p", "▁ti mp", "▁Com ité", "▁comb ining", "▁combin ing", "wo hl", "w ohl", "▁Stud y", "▁Stu dy", "co ordinate", "▁recommend ation", "▁transform ations", "▁transformation s", "un til", "unt il", "u ntil", "bound ed", "b ounded", "▁и зу", "▁из у", "han ced", "h anced", "▁во про", "▁P rés", "▁Pr és", "▁co ord", "xt y", "x ty", "▁$ ,", "▁ $,", "▁champion s", "▁champ ions", "De n", "D en", "M il", "(' ,", "( ',", "▁Pre is", "▁e igh", "▁eig h", "▁mark ers", "▁marker s", "▁gew esen", "ät ten", "ätt en", "ätte n", "▁p ione", "▁pi one", "m v", "▁ј у", "▁ ју", "zeich nis", "ho ff", "hof f", "h off", "New s", "Ne ws", "▁Stanis ław", "▁Br andenburg", "▁Brand enburg", "▁Fe uer", "= &", "же т", "ж ет", "▁N eil", "▁Ne il", "▁w irk", "▁wir k", "▁soci età", "▁sp are", "▁civil e", "▁civ ile", "sp rach", "spr ach", "▁d isse", "▁dis se", "▁diss e", "▁g ates", "▁ga tes", "▁gate s", "▁gat es", "▁a nom", "▁an om", "▁ano m", "▁Федера ции", "▁t ib", "▁ti b", "▁f útbol", "▁Wikip ed", "ia te", "iat e", "i ate", "Fr ont", "F ront", "▁c raw", "▁cr aw", "▁cra w", "▁R ak", "▁Ra k", "▁з ву", "▁зв у", "st reet", "stre et", "▁A gency", "▁Ag ency", "ва ло", "вал о", "▁Ра с", "▁mk dir", "ac ję", "▁sh ares", "▁share s", "St ory", "Sto ry", "▁re marks", "▁rem arks", "▁remark s", "▁key words", "▁keyword s", "Bo b", "B ob", "▁t oe", "▁to e", "▁V itt", "▁Vi tt", "▁Vit t", "▁r hs", "▁rh s", "RO P", "R OP", "or is", "ori s", "o ris", "/ @", "си и", "▁tra verse", "▁travers e", "▁refer encing", "pr äsident", "ro ng", "ron g", "r ong", "') :", "' ):", "at ies", "ati es", "atie s", "a ties", "A W", "Out let", "▁é vol", "▁év ol", "ik es", "ike s", "i kes", "▁environment al", "ic um", "▁L ied", "▁Li ed", "▁Lie d", "▁w arn", "▁war n", "▁wa rn", "▁ warn", "▁But ler", "▁% ),", "▁%) ,", "▁Zeit schrift", "▁Mon tr", "▁Mont r", "ва жа", "▁Mer cur", "je kte", "jekt e", "me ter", "met er", "m eter", "du cation", "▁att ributed", "▁attribute d", "* $", "▁un f", "▁Vert rag", "zi en", "zie n", "z ien", "▁Р об", "▁Ро б", "li ces", "lic es", "lice s", "l ices", "pp ly", "p ply", "an sen", "ans en", "anse n", "▁ze it", "▁ zeit", "▁im mense", "▁imm ense", "▁lut ego", "▁Bul gar", "▁Bulg ar", "▁mi embros", "▁На циональ", "▁Al low", "▁All ow", "▁ Allow", "▁ang lès", "д ви", "▁T oy", "▁To y", "ту а", "▁y ard", "▁ya rd", "▁ yard", "( %", "is ser", "iss er", "isse r", "▁g olf", "▁gol f", "▁Uk rain", "▁h osp", "▁ho sp", "▁hos p", "In clude", "▁L isa", "▁Li sa", "▁Lis a", "▁c sal", "▁cs al", "▁M ira", "▁Mi ra", "▁Mir a", "rec ogn", "▁К е", "▁h itting", "▁hit ting", "коно мі", "коном і", "▁Tourn ament", "LO AD", "▁Guard ian", "▁da her", "▁dah er", "▁time zone", "▁tom cat", "▁ tomcat", "▁success or", "▁succ essor", "▁successo r", "▁V oid", "▁Vo id", "▁come ç", "▁convert s", "▁conver ts", "äch s", "ä chs", "os ex", "ose x", "o sex", "xe lles", "x elles", "as er", "ase r", "a ser", "▁É s", "▁m ou", "▁mo u", "▁u ng", "▁un g", "▁ ung", "▁or igen", "▁orig en", "▁C row", "▁Cr ow", "▁Cro w", "▁E rd", "▁Er d", "▁s ieben", "▁si eben", "▁sie ben", "lu a", "l ua", "▁B B", "▁ BB", "RE NT", "R ENT", "▁pił kar", "▁mar que", "▁marqu e", "▁La bour", "▁Lab our", "vi ders", "vider s", "vid ers", "v iders", "▁ex empl", "▁exem pl", "So und", "S ound", "▁W ass", "▁Was s", "▁Wa ss", "arr ison", "▁те чение", "▁Of icina", "▁D aw", "▁Da w", "▁K auf", "▁Ka uf", "én t", "é nt", "és ő", "▁= \"", "▁ =\"", "▁k at", "▁ka t", "di ction", "dict ion", "dic tion", "d iction", "▁V oll", "▁Vol l", "▁Vo ll", "▁high way", "J ames", "ze uge", "zeug e", "▁mod elo", "▁model o", "▁mode lo", "Th row", "▁F orum", "▁For um", "▁Fo rum", "(\" @", "▁en fer", "▁enf er", "▁спе циаль", "Number s", "Num bers", "▁B inary", "▁Bin ary", "▁ Binary", "▁Martí nez", "▁Martín ez", "▁St ato", "▁Stat o", "▁Sta to", "▁fest iv", "▁k atol", "▁ka tol", "▁kat ol", "▁А б", "▁lim itation", "▁limit ation", "▁S TR", "▁ST R", "▁ STR", "▁О фициаль", "ip es", "ipe s", "i pes", "▁I sn", "▁Is n", "▁rule d", "▁ru led", "▁c í", "▁ cí", "ge ber", "geb er", "▁lavor o", "▁lav oro", "▁parenthes es", "о з", "▁équip es", "▁équipe s", "▁efficient ly", "▁Per iod", "▁ Period", "▁Reg arding", "le af", "lea f", "▁similar ity", "▁gest ure", "data b", "da tab", "dat ab", "▁term inate", "▁termin ate", "▁sem antics", "▁semantic s", "▁A lo", "▁Al o", "▁c ig", "▁ci g", "▁Open GL", "▁heut igen", "xa ml", "x aml", "▁frequ encies", ")} .", ") }.", "▁threaten ed", "▁threat ened", "ти к", "▁cal cio", "▁calci o", "▁calc io", "▁R iemann", "▁Ri emann", "sl ug", "▁F inale", "▁Fin ale", "▁Final e", "L R", "▁Der by", "▁о ще", "▁de viation", "▁dev iation", "▁devi ation", "äch en", "äche n", "ä chen", "▁C ris", "▁Cr is", "но во", "нов о", "н ово", "▁сто лі", "▁re lev", "▁rel ev", "▁splend id", "▁у чё", "er ving", "erv ing", "ga ble", "g able", "▁général e", "▁généra le", "po m", "p om", "▁Che ers", "▁impr ison", "▁in dent", "▁ind ent", "▁inde nt", "▁ indent", "▁anal yz", "▁analy z", "▁re vert", "▁rev ert", "▁reve rt", "▁rever t", "ér er", "ére r", "é rer", "▁ph ases", "▁phase s", "First Name", "▁m ig", "▁mi g", "▁dist urb", "▁mi xture", "▁) {", "▁ ){", "int ure", "▁T ried", "▁Tr ied", "▁Tri ed", "▁soon er", "▁p els", "▁pe ls", "▁pel s", "▁ét abl", "et ro", "etr o", "it ie", "iti e", "▁quart ier", "▁го во", "▁г ово", "▁ гово", "▁vá ros", "uf e", "u fe", "he ten", "het en", "h eten", "хо м", "х ом", "▁so ap", "▁ soap", "ut ors", "uto rs", "utor s", "▁d uch", "▁du ch", "▁duc h", "syn tax", "s yntax", "▁tr ibe", "▁tri be", "▁trib e", "▁ch ante", "▁chant e", "Tr i", "T ri", "▁M ate", "▁Ma te", "▁Mat e", "qu ality", "qual ity", "uo la", "u ola", "=\" .", "= \".", "ch k", "▁в сі", "▁вс і", "▁prze ci", "▁M eteor", "▁Met eor", "▁scatter ed", "Pl us", "P lus", "tr ad", "tra d", "t rad", "▁stack overflow", "▁ stackoverflow", "▁re tra", "▁r etra", "▁ret ra", "▁retr a", "▁éd itions", "▁édition s", "▁s ain", "▁sa in", "cri be", "cr ibe", "ig non", "ign on", "uc ker", "uck er", "u cker", "▁ма ло", "▁ten ir", "▁ex ports", "▁export s", "▁ exports", "▁aux ili", "▁] ]", "▁ ]]", "▁C BS", "un iform", "uni form", "▁period ic", "ag rant", "agr ant", "▁em ple", "▁emp le", "W il", "▁f res", "▁fr es", "▁fre s", "▁str utt", "▁stru tt", "▁с віт", "▁сві т", "▁be tre", "▁bet re", "▁объ ек", "ти ся", "▁b isher", "▁bis her", "ba um", "bau m", "b aum", "is hi", "ish i", "▁Gaz ette", "background Color", "j l", "▁f iel", "▁fi el", "▁пре ма", "▁protagon ista", "▁Muham mad", "▁sim ulate", "▁H ook", "▁Ho ok", "fe st", "f est", "▁сво их", "▁свои х", "Se nder", "Send er", "S ender", "▁list ened", "▁listen ed", "▁liste ned", "ж і", "je st", "jes t", "j est", "ko rd", "kor d", "k ord", "Cho ice", "▁hoof d", "redu cible", "hp p", "h pp", "▁W u", "š i", "▁M arse", "▁Mar se", "▁Mars e", "▁s oir", "▁so ir", "we sten", "west en", "w esten", "em os", "emo s", "e mos", "▁D uc", "▁Du c", "▁amer ik", "| }{", "▁G ul", "▁Gu l", "▁Sp rache", "▁Spr ache", "▁mis match", "▁mism atch", "Sc al", "S cal", "P ixel", "E F", "▁S ep", "▁Se p", "▁powie cie", "ur k", "▁Nap oli", "▁neighbour hood", "сто ян", "стоя н", "▁search es", "yr us", "y rus", "пе т", "п ет", "He lp", "Hel p", "pon t", "po nt", "p ont", "▁Or ient", "▁Ori ent", "▁Alf onso", "▁monitor ing", "ia o", "i ao", "éd é", "▁Cés ar", "ше е", "Sh ift", "su it", "s uit", "code d", "co ded", "cod ed", "c oded", "но то", "▁Par ti", "▁Part i", "▁la sci", "▁las ci", "▁aw esome", "us ta", "ust a", "u sta", "▁С ове", "▁Со ве", "▁Сов е", "▁F land", "▁Fl and", "oo m", "o om", "▁de vi", "▁dev i", "eng elsk", "end um", "▁Pa scal", "▁Pas cal", "▁B ind", "▁Bi nd", "▁Bin d", "▁ Bind", "▁sigu ientes", "▁siguiente s", "J B", "▁Peters burg", "▁incorrect ly", "▁B ash", "▁Bas h", "▁Ba sh", "▁pe los", "▁pel os", "▁pelo s", "▁zes po", "NS URL", "▁př ek", "▁Cr ime", "na ch", "n ach", "▁th rust", "▁thr ust", "▁Cult ura", "W F", "▁S olo", "▁So lo", "▁Sol o", "▁in vas", "▁inv as", "▁individ ually", "▁individual ly", "ib m", "i bm", "▁et apa", "▁hand ed", "▁han ded", "▁where ver", "▁interpol ation", "▁mus ée", "▁C NN", "id ia", "idi a", "i dia", "ńst w", "▁pr zew", "▁prze w", "▁prz ew", "ug hing", "ugh ing", "▁a ctors", "▁act ors", "▁actor s", "▁Ori ental", "▁Orient al", "▁conven ience", "▁mi asta", "br ains", "bra ins", "▁ме ся", "▁inf atti", "▁All Movie", "▁crit ique", "▁success o", "▁succ esso", "anc ouver", "▁f á", "ъл гар", "▁wis dom", "▁Pho enix", "ho le", "hol e", "h ole", "▁inform ación", "▁Air lines", "▁Airl ines", ". «", "mo rt", "mor t", "m ort", "user Id", "▁*/ \r", "▁C ongo", "▁Con go", "▁Cong o", "▁\" `", "▁ \"`", "co rr", "cor r", "c orr", "▁problem as", "▁proble mas", "▁problema s", "▁probl emas", "▁b ib", "▁bi b", "▁ bib", "▁póź niej", "▁file Name", "▁ fileName", "zo tt", "z ott", "ma cht", "mac ht", "m acht", "▁Ul rich", "C y", "end point", "▁she ep", "▁i bn", "Fe ed", "F eed", "▁sympath y", "▁I b", "▁territ orial", "ra ting", "rat ing", "r ating", "да ми", "▁d st", "▁ds t", "▁ dst", "у ю", "ah o", "a ho", "▁s ug", "▁su g", "em ia", "emi a", "▁t ed", "▁te d", "▁ ted", "▁A pi", "▁Ap i", "▁ Api", "▁R ica", "▁Ric a", "▁Ri ca", "▁M R", "▁ MR", "ński m", "ń skim", "▁V oor", "▁Vo or", "▁de vil", "▁dev il", "▁devi l", "▁Ф о", "▁N är", "▁Nä r", "▁... )", "▁.. .)", "▁ ...)", "▁v ois", "▁vo is", "▁ab bre", "▁abb re", "▁M änner", "xim o", "xi mo", "x imo", "▁intellect ual", "▁t ales", "▁tal es", "▁ta les", "▁tale s", "sim ilar", "ne um", "▁O rig", "▁Or ig", "▁Ori g", "▁po stal", "▁pos tal", "▁post al", "▁h vor", "▁ident ification", "▁identific ation", "▁О д", "ue sto", "ues to", "uest o", "u esto", "▁. ./", "▁.. /", "▁ ../", "▁b ir", "▁bi r", "▁ bir", "▁Л он", "▁Ло н", "▁es empio", "▁E ing", "▁Ein g", "Exp and", "▁PR IMARY", "▁J in", "▁Ji n", "▁vš ak", "ours es", "ourse s", "▁Be tty", "▁Bet ty", "▁W M", "▁ WM", "▁fl ask", "▁fla sk", "hl en", "h len", "▁A del", "▁Ad el", "lar avel", "▁д ет", "▁де т", "сь кою", "сько ю", "▁M undo", "▁Mun do", "ic zn", "icz n", "ifi é", "▁М ор", "▁Мо р", "▁д рев", "▁др ев", "Date Format", "сь ким", "ськ им", "▁d ated", "▁da ted", "▁dat ed", "▁date d", "▁ dated", "ко ли", "кол и", "▁результа те", "\\) .", "\\ ).", "▁delay ed", "so und", "s ound", "▁Ма к", "▁\" ...", "▁\". ..", "▁b innen", "▁bin nen", "▁фа куль", "▁pol ygon", "▁poly gon", "▁eg gs", "▁egg s", "At IndexPath", "AtIndex Path", "мен таль", "мент аль", "мента ль", "▁in cred", "▁incre d", "▁inc red", "ch unk", "web driver", "▁с вобо", "▁сво бо", "▁mi ędzy", "Rece ived", "Receive d", "▁M onde", "▁Mon de", "▁Mo nde", "▁Mond e", "▁J Query", "Bu tt", "But t", "B utt", "▁P DO", "▁for ec", "▁fo rec", "▁fore c", "▁discipl ine", "ch ev", "che v", "на т", "н ат", "▁re dis", "▁red is", "▁hun ting", "▁al k", "▁ alk", "▁proof s", "PR I", "P RI", "▁c hip", "▁ch ip", "▁chi p", "és ie", "▁H O", "▁ HO", "▁r ug", "▁ru g", "▁ rug", "zo s", "z os", "▁s orte", "▁sort e", "▁sor te", "▁ze igt", "▁Phys ics", "leg te", "legt e", "▁proport ional", "▁proportion al", "▁tool bar", "ve ment", "v ement", "not in", "▁prv ní", "bl ah", "bla h", "b lah", "▁prés ence", "▁l loc", "▁ll oc", "▁lí der", "▁Ac cept", "▁ Accept", "▁Al ways", "▁\" {", "▁divers i", "▁diver si", "ik or", "iko r", "i kor", "Per iod", "ж ён", "▁Al liance", "▁All iance", "▁re lay", "▁rel ay", "▁rela y", "Br o", "B ro", "jö n", "j ön", "▁B aud", "▁Ba ud", "▁Bau d", "▁B ian", "▁Bi an", "') [", "' )[", "чи в", "▁P oss", "▁Po ss", "▁Pos s", "▁Mitg lieder", "▁Mitglied er", "▁n ev", "▁ne v", "Dan iel", "▁t ends", "▁ten ds", "▁tend s", "▁compag nie", "▁liv res", "▁livre s", "lu b", "l ub", "▁▁ ▁▁", "▁▁ ▁▁▁▁", "▁▁ ▁▁▁▁▁▁▁▁", "▁▁ ▁▁▁▁▁", "▁▁ ▁▁▁▁▁▁", "▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁", "▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁", "▁▁ ▁▁▁▁▁▁▁▁▁▁", "▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁", "▁▁ ▁▁▁", "▁▁ ▁▁▁▁▁▁▁▁▁", "▁▁ ▁▁▁▁▁▁▁", "▁▁ ▁▁▁▁▁▁▁▁▁▁▁", "▁▁ ▁", "▁▁▁▁ ▁▁", "▁▁▁▁ ▁▁▁▁", "▁▁▁▁ ▁▁▁▁▁▁▁▁", "▁▁▁▁ ▁▁▁▁▁", "▁▁▁▁ ▁▁▁▁▁▁", "▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁", "▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁", "▁▁▁▁ ▁▁▁", "▁▁▁▁ ▁▁▁▁▁▁▁▁▁", "▁▁▁▁ ▁▁▁▁▁▁▁", "▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁", "▁▁▁▁ ▁", "▁▁▁▁▁▁▁▁ ▁▁", "▁▁▁▁▁▁▁▁ ▁▁▁▁", "▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁", "▁▁▁▁▁▁▁▁ ▁▁▁▁▁", "▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁", "▁▁▁▁▁▁▁▁ ▁▁▁", "▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁", "▁▁▁▁▁▁▁▁ ▁", "▁▁▁▁▁ ▁▁", "▁▁▁▁▁ ▁▁▁▁", "▁▁▁▁▁ ▁▁▁▁▁▁▁▁", "▁▁▁▁▁ ▁▁▁▁▁", "▁▁▁▁▁ ▁▁▁▁▁▁", "▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁", "▁▁▁▁▁ ▁▁▁", "▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁", "▁▁▁▁▁ ▁▁▁▁▁▁▁", "▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁", "▁▁▁▁▁ ▁", "▁▁▁▁▁▁ ▁▁", "▁▁▁▁▁▁ ▁▁▁▁", "▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁", "▁▁▁▁▁▁ ▁▁▁▁▁", "▁▁▁▁▁▁ ▁▁▁▁▁▁", "▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁", "▁▁▁▁▁▁ ▁▁▁", "▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁", "▁▁▁▁▁▁ ▁▁▁▁▁▁▁", "▁▁▁▁▁▁ ▁", "▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁", "▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁", "▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁", "▁▁▁▁▁▁▁▁▁▁▁▁ ▁", "▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁", "▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁", "▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁", "▁▁▁▁▁▁▁▁▁▁ ▁▁", "▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁", "▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁", "▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁", "▁▁▁▁▁▁▁▁▁▁ ▁▁▁", "▁▁▁▁▁▁▁▁▁▁ ▁", "▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁", "▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁", "▁▁▁ ▁▁", "▁▁▁ ▁▁▁▁", "▁▁▁ ▁▁▁▁▁▁▁▁", "▁▁▁ ▁▁▁▁▁", "▁▁▁ ▁▁▁▁▁▁", "▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁", "▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁", "▁▁▁ ▁▁▁▁▁▁▁▁▁▁", "▁▁▁ ▁▁▁", "▁▁▁ ▁▁▁▁▁▁▁▁▁", "▁▁▁ ▁▁▁▁▁▁▁", "▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁", "▁▁▁ ▁", "▁▁▁▁▁▁▁▁▁ ▁▁", "▁▁▁▁▁▁▁▁▁ ▁▁▁▁", "▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁", "▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁", "▁▁▁▁▁▁▁▁▁ ▁▁▁", "▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁", "▁▁▁▁▁▁▁▁▁ ▁", "▁▁▁▁▁▁▁ ▁▁", "▁▁▁▁▁▁▁ ▁▁▁▁", "▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁", "▁▁▁▁▁▁▁ ▁▁▁▁▁", "▁▁▁▁▁▁▁ ▁▁▁▁▁▁", "▁▁▁▁▁▁▁ ▁▁▁", "▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁", "▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁", "▁▁▁▁▁▁▁ ▁", "▁▁▁▁▁▁▁▁▁▁▁ ▁▁", "▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁", "▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁", "▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁", "▁▁▁▁▁▁▁▁▁▁▁ ▁", "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁", "▁ ▁▁", "▁ ▁▁▁▁", "▁ ▁▁▁▁▁▁▁▁", "▁ ▁▁▁▁▁", "▁ ▁▁▁▁▁▁", "▁ ▁▁▁▁▁▁▁▁▁▁▁▁", "▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁", "▁ ▁▁▁▁▁▁▁▁▁▁", "▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁", "▁ ▁▁▁", "▁ ▁▁▁▁▁▁▁▁▁", "▁ ▁▁▁▁▁▁▁", "▁ ▁▁▁▁▁▁▁▁▁▁▁", "▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", "▁ ▁" ] } } ================================================ FILE: tokenizer/tokenizer_config.json ================================================ { "add_bos_token": true, "add_eos_token": false, "bos_token": { "__type": "AddedToken", "content": "", "lstrip": false, "normalized": true, "rstrip": false, "single_word": false }, "clean_up_tokenization_spaces": false, "eos_token": { "__type": "AddedToken", "content": "", "lstrip": false, "normalized": true, "rstrip": false, "single_word": false }, "model_max_length": 2048, "pad_token": null, "sp_model_kwargs": {}, "tokenizer_class": "LlamaTokenizer", "unk_token": { "__type": "AddedToken", "content": "", "lstrip": false, "normalized": true, "rstrip": false, "single_word": false } } ================================================ FILE: utils/cragapi_wrapper.py ================================================ # Copyright (c) Meta Platforms, Inc. and affiliates. # All rights reserved. # This source code is licensed under the license found in the # LICENSE file in the root directory of this source tree. import json import os from typing import List import requests """ Borrowed from: https://github.com/facebookresearch/CRAG/blob/main/mock_api/apiwrapper/pycragapi.py """ class CRAG(object): """ A client for interacting with the CRAG server, offering methods to query various domains such as Open, Movie, Finance, Music, and Sports. Each method corresponds to an API endpoint on the CRAG server. Attributes: server (str): The base URL of the CRAG server. Defaults to "http://127.0.0.1:8000". Methods: open_search_entity_by_name(query: str) -> dict: Search for entities by name in the Open domain. open_get_entity(entity: str) -> dict: Retrieve detailed information about an entity in the Open domain. movie_get_person_info(person_name: str) -> dict: Get information about a person related to movies. movie_get_movie_info(movie_name: str) -> dict: Get information about a movie. movie_get_year_info(year: str) -> dict: Get information about movies released in a specific year. movie_get_movie_info_by_id(movie_id: int) -> dict: Get movie information by its unique ID. movie_get_person_info_by_id(person_id: int) -> dict: Get person information by their unique ID. finance_get_company_name(query: str) -> dict: Search for company names in the finance domain. finance_get_ticker_by_name(query: str) -> dict: Retrieve the ticker symbol for a given company name. finance_get_price_history(ticker_name: str) -> dict: Get the price history for a given ticker symbol. finance_get_detailed_price_history(ticker_name: str) -> dict: Get detailed price history for a ticker symbol. finance_get_dividends_history(ticker_name: str) -> dict: Get dividend history for a ticker symbol. finance_get_market_capitalization(ticker_name: str) -> dict: Retrieve market capitalization for a ticker symbol. finance_get_eps(ticker_name: str) -> dict: Get earnings per share (EPS) for a ticker symbol. finance_get_pe_ratio(ticker_name: str) -> dict: Get the price-to-earnings (PE) ratio for a ticker symbol. finance_get_info(ticker_name: str) -> dict: Get financial information for a ticker symbol. music_search_artist_entity_by_name(artist_name: str) -> dict: Search for music artists by name. music_search_song_entity_by_name(song_name: str) -> dict: Search for songs by name. music_get_billboard_rank_date(rank: int, date: str = None) -> dict: Get Billboard ranking for a specific rank and date. music_get_billboard_attributes(date: str, attribute: str, song_name: str) -> dict: Get attributes of a song from Billboard rankings. music_grammy_get_best_artist_by_year(year: int) -> dict: Get the Grammy Best New Artist for a specific year. music_grammy_get_award_count_by_artist(artist_name: str) -> dict: Get the total Grammy awards won by an artist. music_grammy_get_award_count_by_song(song_name: str) -> dict: Get the total Grammy awards won by a song. music_grammy_get_best_song_by_year(year: int) -> dict: Get the Grammy Song of the Year for a specific year. music_grammy_get_award_date_by_artist(artist_name: str) -> dict: Get the years an artist won a Grammy award. music_grammy_get_best_album_by_year(year: int) -> dict: Get the Grammy Album of the Year for a specific year. music_grammy_get_all_awarded_artists() -> dict: Get all artists awarded the Grammy Best New Artist. music_get_artist_birth_place(artist_name: str) -> dict: Get the birthplace of an artist. music_get_artist_birth_date(artist_name: str) -> dict: Get the birth date of an artist. music_get_members(band_name: str) -> dict: Get the member list of a band. music_get_lifespan(artist_name: str) -> dict: Get the lifespan of an artist. music_get_song_author(song_name: str) -> dict: Get the author of a song. music_get_song_release_country(song_name: str) -> dict: Get the release country of a song. music_get_song_release_date(song_name: str) -> dict: Get the release date of a song. music_get_artist_all_works(artist_name: str) -> dict: Get all works by an artist. sports_soccer_get_games_on_date(team_name: str, date: str) -> dict: Get soccer games on a specific date. sports_nba_get_games_on_date(team_name: str, date: str) -> dict: Get NBA games on a specific date. sports_nba_get_play_by_play_data_by_game_ids(game_ids: List[str]) -> dict: Get NBA play by play data for a set of game ids. Note: Each method performs a POST request to the corresponding API endpoint and returns the response as a JSON dictionary. """ def __init__(self, server = None): if server is None: self.server = os.environ.get('CRAG_SERVER', "http://127.0.0.1:8000") else: self.server = server def open_search_entity_by_name(self, query:str): url = self.server + '/open/search_entity_by_name' headers={'accept': "application/json"} data = {'query': query} result = requests.post(url, json=data, headers=headers) return json.loads(result.text) def open_get_entity(self, entity:str): url = self.server + '/open/get_entity' headers={'accept': "application/json"} data = {'query': entity} result = requests.post(url, json=data, headers=headers) return json.loads(result.text) def movie_get_person_info(self, person_name:str): url = self.server + '/movie/get_person_info' headers={'accept': "application/json"} data = {'query': person_name} result = requests.post(url, json=data, headers=headers) return json.loads(result.text) def movie_get_movie_info(self, movie_name:str): url = self.server + '/movie/get_movie_info' headers={'accept': "application/json"} data = {'query': movie_name} result = requests.post(url, json=data, headers=headers) return json.loads(result.text) def movie_get_year_info(self, year:str): url = self.server + '/movie/get_year_info' headers={'accept': "application/json"} data = {'query': year} result = requests.post(url, json=data, headers=headers) return json.loads(result.text) def movie_get_movie_info_by_id(self, movid_id:int): url = self.server + '/movie/get_movie_info_by_id' headers={'accept': "application/json"} data = {'query': movid_id} result = requests.post(url, json=data, headers=headers) return json.loads(result.text) def movie_get_person_info_by_id(self, person_id:int): url = self.server + '/movie/get_person_info_by_id' headers={'accept': "application/json"} data = {'query': person_id} result = requests.post(url, json=data, headers=headers) return json.loads(result.text) def finance_get_company_name(self, query:str): url = self.server + '/finance/get_company_name' headers={'accept': "application/json"} data = {'query': query} result = requests.post(url, json=data, headers=headers) return json.loads(result.text) def finance_get_ticker_by_name(self, query:str): url = self.server + '/finance/get_ticker_by_name' headers={'accept': "application/json"} data = {'query': query} result = requests.post(url, json=data, headers=headers) return json.loads(result.text) def finance_get_price_history(self, ticker_name:str): url = self.server + '/finance/get_price_history' headers={'accept': "application/json"} data = {'query': ticker_name} result = requests.post(url, json=data, headers=headers) return json.loads(result.text) def finance_get_detailed_price_history(self, ticker_name:str): url = self.server + '/finance/get_detailed_price_history' headers={'accept': "application/json"} data = {'query': ticker_name} result = requests.post(url, json=data, headers=headers) return json.loads(result.text) def finance_get_dividends_history(self, ticker_name:str): url = self.server + '/finance/get_dividends_history' headers={'accept': "application/json"} data = {'query': ticker_name} result = requests.post(url, json=data, headers=headers) return json.loads(result.text) def finance_get_market_capitalization(self, ticker_name:str): url = self.server + '/finance/get_market_capitalization' headers={'accept': "application/json"} data = {'query': ticker_name} result = requests.post(url, json=data, headers=headers) return json.loads(result.text) def finance_get_eps(self, ticker_name:str): url = self.server + '/finance/get_eps' headers={'accept': "application/json"} data = {'query': ticker_name} result = requests.post(url, json=data, headers=headers) return json.loads(result.text) def finance_get_pe_ratio(self, ticker_name:str): url = self.server + '/finance/get_pe_ratio' headers={'accept': "application/json"} data = {'query': ticker_name} result = requests.post(url, json=data, headers=headers) return json.loads(result.text) def finance_get_info(self, ticker_name:str): url = self.server + '/finance/get_info' headers={'accept': "application/json"} data = {'query': ticker_name} result = requests.post(url, json=data, headers=headers) return json.loads(result.text) def music_search_artist_entity_by_name(self, artist_name:str): url = self.server + '/music/search_artist_entity_by_name' headers={'accept': "application/json"} data = {'query': artist_name} result = requests.post(url, json=data, headers=headers) return json.loads(result.text) def music_search_song_entity_by_name(self, song_name:str): url = self.server + '/music/search_song_entity_by_name' headers={'accept': "application/json"} data = {'query': song_name} result = requests.post(url, json=data, headers=headers) return json.loads(result.text) def music_get_billboard_rank_date(self, rank:int, date:str=None): url = self.server + '/music/get_billboard_rank_date' headers={'accept': "application/json"} data = {'rank': rank, 'date': date} result = requests.post(url, json=data, headers=headers) return json.loads(result.text) def music_get_billboard_attributes(self, date:str, attribute:str, song_name:str): url = self.server + '/music/get_billboard_attributes' headers={'accept': "application/json"} data = {'date': date, 'attribute': attribute, 'song_name': song_name} result = requests.post(url, json=data, headers=headers) return json.loads(result.text) def music_grammy_get_best_artist_by_year(self, year:int): url = self.server + '/music/grammy_get_best_artist_by_year' headers={'accept': "application/json"} data = {'query': year} result = requests.post(url, json=data, headers=headers) return json.loads(result.text) def music_grammy_get_award_count_by_artist(self, artist_name:str): url = self.server + '/music/grammy_get_award_count_by_artist' headers={'accept': "application/json"} data = {'query': artist_name} result = requests.post(url, json=data, headers=headers) return json.loads(result.text) def music_grammy_get_award_count_by_song(self, song_name:str): url = self.server + '/music/grammy_get_award_count_by_song' headers={'accept': "application/json"} data = {'query': song_name} result = requests.post(url, json=data, headers=headers) return json.loads(result.text) def music_grammy_get_best_song_by_year(self, year:int): url = self.server + '/music/grammy_get_best_song_by_year' headers={'accept': "application/json"} data = {'query': year} result = requests.post(url, json=data, headers=headers) return json.loads(result.text) def music_grammy_get_award_date_by_artist(self, artist_name:str): url = self.server + '/music/grammy_get_award_date_by_artist' headers={'accept': "application/json"} data = {'query': artist_name} result = requests.post(url, json=data, headers=headers) return json.loads(result.text) def music_grammy_get_best_album_by_year(self, year:int): url = self.server + '/music/grammy_get_best_album_by_year' headers={'accept': "application/json"} data = {'query': year} result = requests.post(url, json=data, headers=headers) return json.loads(result.text) def music_grammy_get_all_awarded_artists(self): url = self.server + '/music/grammy_get_all_awarded_artists' headers={'accept': "application/json"} result = requests.post(url, headers=headers) return json.loads(result.text) def music_get_artist_birth_place(self, artist_name:str): url = self.server + '/music/get_artist_birth_place' headers={'accept': "application/json"} data = {'query': artist_name} result = requests.post(url, json=data, headers=headers) return json.loads(result.text) def music_get_artist_birth_date(self, artist_name:str): url = self.server + '/music/get_artist_birth_date' headers={'accept': "application/json"} data = {'query': artist_name} result = requests.post(url, json=data, headers=headers) return json.loads(result.text) def music_get_members(self, band_name:str): url = self.server + '/music/get_members' headers={'accept': "application/json"} data = {'query': band_name} result = requests.post(url, json=data, headers=headers) return json.loads(result.text) def music_get_lifespan(self, artist_name:str): url = self.server + '/music/get_lifespan' headers={'accept': "application/json"} data = {'query': artist_name} result = requests.post(url, json=data, headers=headers) return json.loads(result.text) def music_get_song_author(self, song_name:str): url = self.server + '/music/get_song_author' headers={'accept': "application/json"} data = {'query': song_name} result = requests.post(url, json=data, headers=headers) return json.loads(result.text) def music_get_song_release_country(self, song_name:str): url = self.server + '/music/get_song_release_country' headers={'accept': "application/json"} data = {'query': song_name} result = requests.post(url, json=data, headers=headers) return json.loads(result.text) def music_get_song_release_date(self, song_name:str): url = self.server + '/music/get_song_release_date' headers={'accept': "application/json"} data = {'query': song_name} result = requests.post(url, json=data, headers=headers) return json.loads(result.text) def music_get_artist_all_works(self, song_name:str): url = self.server + '/music/get_artist_all_works' headers={'accept': "application/json"} data = {'query': song_name} result = requests.post(url, json=data, headers=headers) return json.loads(result.text) def sports_soccer_get_games_on_date(self, date:str, team_name:str=None): url = self.server + '/sports/soccer/get_games_on_date' headers={'accept': "application/json"} data = {'team_name': team_name, 'date': date} result = requests.post(url, json=data, headers=headers) return json.loads(result.text) def sports_nba_get_games_on_date(self, date:str, team_name:str=None): url = self.server + '/sports/nba/get_games_on_date' headers={'accept': "application/json"} data = {'team_name': team_name, 'date': date} result = requests.post(url, json=data, headers=headers) return json.loads(result.text) def sports_nba_get_play_by_play_data_by_game_ids(self, game_ids:List[str]): url = self.server + '/sports/nba/get_play_by_play_data_by_game_ids' headers={'accept': "application/json"} data = {'game_ids': game_ids} result = requests.post(url, json=data, headers=headers) return json.loads(result.text)