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    "info": {
        "author": "Sergio Puche Garc\u00eda",
        "author_email": "serpucga@protonmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 2 - Pre-Alpha",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Natural Language :: English",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7"
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        "description": "===========\nTweet Model\n===========\n\n\n.. image:: https://img.shields.io/pypi/v/tweet_model_serpucga.svg\n        :target: https://pypi.python.org/pypi/tweet_model_serpucga\n\n.. image:: https://readthedocs.org/projects/tweet-model/badge/?version=latest\n        :target: https://tweet-model.readthedocs.io/en/latest/?badge=latest\n        :alt: Documentation Status\n\n\n\n\nA modelization of a tweet object with convenient features and functionalities.\nThis project was thought for integration and usage as a package by the Twitter\nDashboard project.\n\n\n* Free software: MIT license\n* Documentation: https://tweet-model.readthedocs.io.\n\n\nFeatures\n--------\n\n* A modelization of a tweet in the form of class Tweet. This class contains a\n  constructor that initializes all the possible tweet attributes to None\n  except those indicated otherwise.\n* The inner objects of a tweet (\"user\", \"entities\", \"places\", etc.) are stored\n  internally as nested dictionaries.\n* The __getitem__() method for Tweet is overriden to allow a dictionary-like\n  access to the tweet contents. For example, if \"tweet1\" is an instance of\n  Tweet, one could do tweet1[\"id\"] to get the id of that tweet, or\n  tweet1[\"user\"][\"name\"] to get the name of the person that published the\n  tweet.\n\nCredits\n-------\nCreator: Sergio\n\nThis package was created with Cookiecutter_ and the `audreyr/cookiecutter-pypackage`_ project template.\n\n.. _Cookiecutter: https://github.com/audreyr/cookiecutter\n.. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage\n\n\n=======\nHistory\n=======\n\n0.1.0 (2019-03-13)\n------------------\n\n* First release on PyPI.\n\n\n0.2.0 (2019-03-20)\n------------------\n* Completed the Tweet class that allows the user to make usable instances of a\n  tweet model. Includes initialization of all the Tweet attributes indicated in\n  the Twitter documentation (default to None, unless the user provides a value)\n  and overriding of __getitem__ to provide a dictionary-like access to the\n  information.\n\n\n0.3.0 (2019-03-20)\n------------------\n* Added method \"get_tweets_from_csv()\", which gets a CSV file as an argument\n  and returns a list containing as many Tweet objects as lines (minus the\n  header) in the CSV file. The header of the CSV is used to know which \n  attributes should be set.\n* The method will raise an error and exit if any item in the header does not\n  match with the specification of the Tweet object (for example, the header\n  word \"media.sizes.thumb.h\" would be valid, but \"user.lightsaber.color\" would\n  not.\n* At this point, the method took 1.75s aprox to read and return the contents of\n  a 5.7 MB as a list of 'Tweet's. This could be troublesome with very large\n  collections in a future if the progression of time was proportional with the \n  file size (estimation would be 25 minutes for a 5 GB file)\n\n\n0.4.0 (2019-03-26)\n------------------\n\nSince the last release the main improvements have been:\n\n * Raise a custom exception instead of sysexiting when confronted with a wrong \n   CSV file.\n * Change prints for logger messages.\n * Modularize the \"get_tweets_from_csv\" dividing it into 3 functions to provide\n   more isolated functions. Now this function makes use of \n   \"get_tweet_from_csv_line\", which returns a single Tweet object when provided \n   with two lists representing the contents of a CSV header and one of its\n   entries. There is also a \"raw\" alternative of that function, which works \n   with raw lines and converts them to lists to then call the \"non-raw\" version.\n\nVersion 0.4.1:\nThe tweet-manager dependency, necessary for the core functions, has been added \ninto production (in setup.py).\nVersion 0.4.2:\nSeems like that wasn't the right way to add a requirement. Tried now pip\nfreezing to requirements.txt.\nVersion 0.4.3:\nUpdated tweetmanager dependency to current version (1.1.5)\nVersion 0.4.4:\nFixed another requirement error\nVersion 0.4.5:\nChanged f-strings to traditional strings for reasons of compatibility\nVersion 0.4.6:\nTrying to track an error were Tweets are not instantiated if the CSV registry\ncontains certain symbols\nVersion 0.4.7:\nAdded function to generate dicts representing subsets of Tweet content (return\njust the fields indicated by the user and not the full Tweet object)\n\n\n0.5.0 (2019-05-03)\n------------------\n* Code from tweet_model.py now divided in two source files: tweet.py\n  (containing the Tweet class) and utils.py (which contains the rest of the\n  utilities to instantiate Tweet objects from CSVs, return a mini-dict with\n  partial information of a Tweet, etc.)\n* Added two new fields to the Tweet class: \"polarity\" and \"trtext\", which are\n  not part of the original Tweeter tweets, but needed in other project.\n* Added setter methods for \"polarity\" and \"trtext\", which will be probably now\n  set at instantiation time but afterwards\n\nVersion 0.5.1:\nTiny fix in the imports\nVersion 0.5.2:\nAdded method to get Tweet in JSON form\nVersion 0.5.3:\nCoordinates stored as list and not as str\nVersion 0.5.4:\nMinor fix\nVersion 0.5.5:\nImplementing typings\n\n\n0.6.0 (2019-05-16)\n------------------\nMain differences with last major release:\n\n * Tweet objects do not store all the values as str anymore. The most used\n   fields are now attempted to cast to their type on initialization. These\n   improvements were added on the last versions of 0.5.x\n * Tests have been added that cover most of the code in tweets.py and utils.py.\n   In the next versions probably even more will be added.\n\nVersion 0.6.1:\nAdded more tests and the \"as_json()\" function divided in two: \"as_long_json\",\nwhich simply returns the __dict__ of the Tweet instance, with all its key-value\npairs, and \"as_short_json\", which returns just the non-empty key-value pairs\n(and it won't even return nested dicts it they have no content).\nVersion 0.6.2:\nNo changes, just for trying new hooks.\nVersion 0.6.3 & 0.6.4:\nUpdated tweetmanager dependency.\n\n0.7.0 (2019-10-14)\n------------------\n\nMain differences with last major release:\n\n * Accept embedded tweets in \"quoted_status\" and \"retweeted_status\".\n * Accept some other new fields found in some tweets (although they don't seem\n   to appear in the Twitter documentation) such as \"full_text\" or\n   \"display_text_range\"\n * Accept any other argument without throwing an error, but don't do shit with\n   them. Thus, if unexpected and undocumented fields arrive, they won't be used\n   to instantiate the Tweet object, but it won't crash either.\n * Some reformatting\n\nVersion 0.7.1: \nReworks on dependencies\n\n\n",
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        "name": "tweet-model-serpucga",
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