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    "info": {
        "author": "See AUTHORS",
        "author_email": "maarten@adimian.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 4 - Beta",
            "License :: OSI Approved :: MIT License",
            "Operating System :: MacOS :: MacOS X",
            "Operating System :: Microsoft :: Windows",
            "Operating System :: POSIX",
            "Programming Language :: Python",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3.3",
            "Programming Language :: Python :: 3.4"
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        "description": "Example usage\n==============\n::\n\n    import time\n    from kabutopy.client import Client\n\n    # make a client instance with the base url of the kabuto service\n    client = Client(\"http://localhost:5000\")\n\n    # registering a user\n    client.register(\"user\", \"password\", \"email@email.com\")\n\n    # loging in with a user, the client keeps track of the cookies\n    client.login(\"user\", \"password\")\n\n    # creating an image\n    # name: string\n    # dockerfile: raw string / open file / path to a file\n    # repo_url: string\n    # nocache: boolean\n    image = client.create_image(\"my_image\", dockerfile=\"some file\", repo_url=None, nocache=False)\n\n    # requesting the image status and image id will poll the server\n    # if the id is still empty, or is the status is PENDING\n    # it will update id, state and output if the state is SUCCESS\n    # it will update state, error and output if the state is FAIL\n\n    while image.status == 'PENDING':\n        sleep(1)\n\n    # creating a pipeline\n    # name: string\n    pipeline = client.create_pipeline(\"my_pipeline\")\n\n    # creating a job\n    # command: string\n    # image: Image / int / string that is castable to int\n    # attachment: open file / path to a file (a list of these things also works when multiple files need to be uploaded)\n    # pipeline: Pipeline / int / string that is castable to int\n    job = client.create_job(command, image, attachments, pipeline)\n\n    # getting logs\n    # job: Job / int / string that is castable to int\n    # job_id: int / string that is castable to int\n    # you are able to get the logs trough the client\n    logs = client.get_job_logs(job)\n\n    # trough the job itself\n    # job_id: int / string that is castable to int\n    logs = job.get_logs()\n\n    # getting results\n    # job: Job / int / string that is castable to int\n    # trough the client\n    # will return None if the job has not yet started, is still running or has failed\n    result = client.get_job_results(job)\n\n    # trough the job itself\n    result = job.get_results()\n\n\nClasses and Methods\n===================\n\nClient:\n-------\n\n    - register(user, password, email)\n    - login(user, password)\n    - create_image(name, dockerfile=None, repo_url=None, nocache=False) returns Image\n    - create_pipeline(name) returns Pipeline\n    - create_job(command, image, attachments, pipeline) returns Job\n    - submit_pipeline(pipeline)\n    - get_job_logs(job, log_id=None) returns Log\n    - get_job_results(job, pipeline=None) returns None or ByteIO\n    - load_image(self, eid) returns loaded Image\n    - load_pipeline(self, eid) returns loaded Pipeline\n    - load_job(self, eid, pipeline) returns loaded Job\n\nImage:\n------\n\n    - classmethod:load(eid) returns loaded image\n\nPipeline:\n---------\n\n    - submit()\n    - classmethod:load(eid) returns loaded pipeline\n\nJob:\n----\n\n    - get_logs(log_id=None) returns Log\n    - get_results() returns None or ByteIO\n    - classmethod:load(eid, pipeline) returns loaded job\n\nLog:\n----\n\n    - readlines(raw=True) returns lines or (line_id, line) if raw is False\n    - refresh()",
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        "license": "MIT/Expat",
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        "maintainer_email": null,
        "name": "kabutopy",
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        "summary": "client for the kabuto service",
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