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        "author": "Ty-Lucas Kelley",
        "author_email": "tylucaskelley@gmail.com",
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            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Operating System :: MacOS :: MacOS X",
            "Operating System :: POSIX :: Linux",
            "Programming Language :: Python",
            "Topic :: Database",
            "Topic :: Software Development :: Libraries :: Python Modules"
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        "description": "# Bx\n\nIn-memory storage for Python\n\n![build-status](https://travis-ci.org/tylucaskelley/bx-python.svg?branch=master)\n![version](https://pypip.in/version/bx/badge.svg)\n![downloads](https://pypip.in/download/bx/badge.svg)\n\n---\n\n```\n                  __\n           ___~~~`  `~~__\n     ___~~~              `~~_\n     |~_                     `~_\n     |  ~_               ___ ~~ |\n     |    ~_        __~~~       |\n     |      ~_ __~~~            |\n     |        |                 |\n     |        |                 |\n     |        |       bx        |\n      ~_      |               __|\n         ~_   |          __~~~\n           ~_ |     __~~~\n             ~|__~~~\n```\n\nbx lets you store things in memory. It has a few special features:\n\n* Thread safe\n* Setting a timeout before object is destroyed\n* JSON Schema validation\n* Clean & simple API\n* Badass ASCII art\n* Supports Python 2.7 and 3.4\n\n## Installation\n\nJust make sure you have Python 2.7.x or 3.4.x and pip installed:\n\n```bash\n$ pip install bx\n```\n\n## Usage\n\nThe code is pretty simple and well-commented, but here's some example usage. If\nyou want more detail, run `pydoc bx.Db` once you've installed it or look through\nthe code to get info.\n\n```python\nimport bx\n\nstudent = {\n    'title': 'student',\n    'type': 'object',\n    'required': ['name', 'major', 'gpa'],\n    'properties': {\n        'name': {\n            'type': 'string'\n        },\n        'major': {\n            'type': 'string'\n        },\n        'gpa': {\n            'type': 'number'\n        }\n    }\n}\n\n# The schema argument defaults to None, and there is also an optional\n# debug mode (for console logging) that defaults to False\ndb = bx.Db(schema=student)\n\ntry:\n    db.put('bad', 'data')\nexcept bx.db.ValidationError: # same as jsonschema.exceptions.ValidationError\n    print('This does not fit the schema!')\n\njohn = {\n    'name': 'John Doe',\n    'major': 'Computer Science',\n    'gpa': 3.6\n}\n\nsusan = {\n    'name': 'Susan Jones',\n    'major': 'Physics',\n    'gpa': 3.96\n}\n\ndb.put('john', john)\ndb.put('susan', susan)\n\n# get average gpa\nprint(sum([v['gpa'] for v in db.vals()]) / len(db.vals()))\n\ndb.delete('susan')\n\ntry:\n    db.delete('bob')\nexcept KeyError:\n    print('bob is not in the data store!')\n```",
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        "license": "MIT",
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