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        "author": "Alex Markov",
        "author_email": "alex@markovs.me",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 4 - Beta",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 2.6",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.2",
            "Programming Language :: Python :: 3.3",
            "Programming Language :: Python :: 3.4",
            "Topic :: Software Development :: Libraries :: Python Modules"
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        "description": "====\ns3io\n====\n\nAbout\n-----\n\ns3io is a minimalistic python module which provides file object access to data on S3.\n\nAll data manipulations are done via temporary local files - so you will actually work with local temp file which is a file object with all its methods supported.\n\nJust keep in mind these facts:\n\n1. Reading: the whole file will be downloaded to local temporary location at entering the context.\n2. Writing: temp file will be provided at entering the context. Actual saving to S3 will be performed at exit from context. Thus such methods as ``flush`` will not influence the process of saving to S3.\n\nDependencies\n------------\n\n- `boto <https://github.com/boto/boto>`_\n\nExamples\n--------\n\ns3io is intended to be used via context manager only.\n\nThere are three ways to provide access to s3:\n\n1. Directly providing ``s3_connection``.\n2. Providing credentials: ``aws_access_key_id`` and ``aws_secret_access_key``.\n3. Providing ``profile_name``. This method is recommended to use. See `boto docs <http://boto.readthedocs.org/en/latest/boto_config_tut.html>`_ for more info.\n\nReading file using existing S3 connection::\n\n        import s3io\n\n        s3 = boto.connect_s3()\n        with s3io.open('s3://<bucket>/<key>', s3_connection=s3) as s3_file:\n            contents = s3_file.read()\n\nReading file using credentials::\n\n        credentials = dict(\n            aws_access_key_id='<ACCESS_KEY>',\n            aws_secret_access_key='<SECRET_KEY>',\n        )\n        with s3io.open('s3://<bucket>/<key>', **credentials) as s3_file:\n            contents = s3_file.read()\n\nReading file using profile::\n\n        with s3io.open('s3://<bucket>/<key>', profile_name='<profile>') as s3_file:\n            contents = s3_file.read()\n\nWriting file using profile::\n\n        with s3io.open('s3://<bucket>/<key>', mode='w', profile_name='<profile>') as s3_file:\n            s3_file.write('Some data.')\n\nExceptions\n----------\n\nPossible exceptions:\n\n1. s3io.BucketNotFoundError\n2. s3io.KeyNotFoundError\n3. s3io.UrlParseError",
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        "license": "MIT",
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        "maintainer_email": null,
        "name": "s3io",
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        "summary": "Access resources on Amazon S3 as a File Object.",
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