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    "info": {
        "author": "Amazon Mechanical Turk",
        "author_email": "mturk-requester-preview@amazon.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 5 - Production/Stable",
            "License :: OSI Approved :: Apache Software License",
            "Programming Language :: Python",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3"
        ],
        "description": "Prerequisites\n-------------\nTo use this library, you'll need first follow our `account set-up instructions`_\nto set up your Mechanical Turk and AWS accounts to call the API.\n\nInstantiating the client requires using a Session object from boto3 to\nauthenticate. The `boto3 docs`_ describe how to manage your credentials in more\ndetail.\n\n.. _`account set-up instructions`: https://blog.mturk.com/setting-up-your-mechanical-turk-and-aws-accounts-to-call-the-sentiment-analysis-api-bd4e2a034c5\n.. _`boto3 docs`: http://boto3.readthedocs.io/en/latest/guide/configuration.html\n\nQuick Start\n-----------\nFirst, install the library:\n\n.. code-block:: sh\n\n    $ pip install mturk-crowd-beta-client\n\nThen, from a Python interpreter or script, create your first task:\n\n.. code-block:: python\n\n    from mturk_crowd_beta_client import MTurkCrowdClient\n    from boto3.session import Session\n    import uuid\n\n    # This examples assume you have a local AWS profile called\n    # 'mturk-crowd-caller', but you can authenticate however you like,\n    # including by directly passing in your access key and secret key.\n    session = Session(profile_name='mturk-crowd-caller')\n\n    # Create the client\n    crowd_client = MTurkCrowdClient(session)\n\n    # For this example, we'll give our task a random, unique name. For real\n    # work, you'll probably want to pick a name based on your input source.\n    task_name = 'my-test-task-' + uuid.uuid4().hex\n    function_name = 'sentiment-analysis-test'\n\n    # Create the task\n    put_result = crowd_client.put_task(function_name,\n                                       task_name,\n                                       {'text': 'Everything is wonderful.'})\n    print('PUT response: {}'.format(\n        {'status_code': put_result.status_code, 'task': put_result.json()}))\n    # => PUT response: {\n    #  'status_code': 201,\n    #  'task': {'input': {'text': 'Everything is wonderful.'},\n    #           'problemDetails': None,\n    #           'result': None,\n    #           'state': 'processing',\n    #           'taskName': 'my-test-task-73fbfb29f2bc451d9696d11103dcaf0e'}\n    #   }\n\n    # Get the task we just created. Note that for a production (i.e., non-test)\n    # task, we'd have to poll periodically until the task completed.\n    get_result = crowd_client.get_task(function_name, task_name)\n    print('GET response: {}'.format(\n        {'status_code': get_result.status_code, 'task': get_result.json()}))\n    # => GET response: {\n    #  'status_code': 200,\n    #  'task': {'input': {'text': 'Everything is wonderful.'},\n    #           'problemDetails': None,\n    #           'result': {'sentiment': 'positive'}\n    #           'state': 'completed',\n    #           'taskName': 'my-test-task-73fbfb29f2bc451d9696d11103dcaf0e'}\n    #   }\n\nFurther Reading\n---------------\n\nCheck out our `usage instructions`_ and `API documentation`_ for more details\nabout how to use the API and this client.\n\n.. _`usage instructions`: https://medium.com/@mechanicalturk/instructions-for-calling-our-new-sentiment-analysis-api-21986c2cdff0\n.. _`API documentation`: https://medium.com/@mechanicalturk/mechanical-turk-sentiment-analysis-api-documentation-e0ab8279a70a\n",
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        "keywords": "mturk-crowd-beta-client",
        "license": "Apache License 2.0",
        "maintainer": "",
        "maintainer_email": "",
        "name": "mturk-crowd-beta-client",
        "package_url": "https://pypi.org/project/mturk-crowd-beta-client/",
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        "summary": "A client for the MTurk Crowd REST API",
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