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        "author": "Denis Sazonov",
        "author_email": "den@saz.lt",
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        "classifiers": [
            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 3"
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        "description": "jsonextra\n=====\n[![Build Status](https://travis-ci.org/den4uk/jsonextra.svg?branch=master)](https://travis-ci.org/den4uk/jsonextra)\n[![Codecov](https://codecov.io/gh/den4uk/jsonextra/branch/master/graph/badge.svg)](https://codecov.io/gh/den4uk/jsonextra)\n[![PyPI Version](http://img.shields.io/pypi/v/jsonextra.svg)](https://pypi.python.org/pypi/jsonextra)\n[![License](https://img.shields.io/github/license/den4uk/jsonextra.svg)](https://pypi.python.org/pypi/jsonextra)\n\n_same as `json` library, but with extra support for `bytes`, `uuid` and `datetime` data classes_\n\n## Installation\n\n```\n$ pip install jsonextra\n```\n\n\n## Usage\n\nUse just like `json` as normal once imported, but with addition of extra data classes.\n\n```python\nimport uuid, datetime  # for creation of `my_data` object\nimport jsonextra\n\nmy_data = {'id': uuid.uuid4(), 'created': datetime.date.today()}\n# my_data --> {'id': uuid.UUID('5f7660c5-88ea-46b6-93e2-860d5b7a0271'), 'created': datetime.date(2019, 6, 16)}\n\n# Serializes the key values to stringified versions\nmy_json = jsonextra.dumps(my_data)\n# my_json --> '{\"id\": \"5f7660c5-88ea-46b6-93e2-860d5b7a0271\", \"created\": \"2019-06-16\"}'\n\n# Deserializes the object and confirms the output matches `my_data`\nassert jsonextra.loads(my_json) == my_data  # True\n```\n\n\n##### `.dump(obj, fp, **kwargs)` & `.dumps(obj, **kwargs)`\nWill serialize extra data classes into their string (`__str__`) or special representations (_eg: `.isoformat`, etc._).\n\n\n##### `.load(fp, **kwargs)` & `.loads(s, **kwargs)`\nWill deserialize any stings, which match patterns of extra supported data classes.\nFor example, if something looks like a _uuid_ - it will be converted to `uuid.UUID`.\nIf this behaviour is undesired, please use the built-in `json.loads` method instead of `jsonextra.loads`.\n\n\n## Supported extra data classes\n\n| Python Data Class | Python Object (deserialized) | JSON Object (serialized) |\n|-------------------|------------------------------|--------------------------|\n| `datetime.date` | `datetime.date(2019, 1, 1)` | `\"2019-01-01\"` |\n| `datetime.time` | `datetime.time(23, 59, 11)` | `\"23:59:11\"`  |\n| `datetime.datetime` | `datetime.datetime(2019, 1, 1, 23, 59, 11)` | `\"2019-01-01T23:59:11\"` |\n| `uuid.UUID` | `uuid.UUID('5f7660c5-88ea-46b6-93e2-860d5b7a0271')` | `\"5f7660c5-88ea-46b6-93e2-860d5b7a0271\"` |\n| `bytes` | `b'\\xd6aO\\x1d\\xd71Y\\x05'` | `\"base64:1mFPHdcxWQU=\"` |\n\nMore examples of serialized/deserialized values can be found in tests ;p\n\n\n## Why?\n\n_Why would you want to use this library?_\n\n- If you work with a model-less data structures, and its data types expend beyond the JSON standard supports.\n- If your model schemas are too dynamic to be able to use model-based serializers, and requires to store more data types.\n- If your data structure does not fit with the JSON standard, and it needs expanding to support one or more data types.\n\n\n## How it works\n\nAn extra supported python object is dumped to a _string_ value.\nWhen loading a serialized json object, any values matching the string supported data class, will be converted to their expected data class instances.\n> _If it looks like a duck, swims like a duck, and quacks like a duck, then it probably is a duck_.\n\n\n## Contributions\n\nContibutions are welcome, please submit your pull requests into `dev` branch for a review.\n\n\n",
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