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        "author": "Konstantin Tretyakov",
        "author_email": "kt@ut.ee",
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            "Development Status :: 4 - Beta",
            "Framework :: IPython",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 3"
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        "description": "=================================================\nIPython Magic for sending notifications to Slack\n=================================================\n\nInstallation\n------------\n::\n\n    $ pip install ipyslack\n    \nUsage\n-----\n1. Load the extension::\n\n    %load_ext ipyslack\n\n2. Configure Slack API::\n\n    %slack_setup -t <api_token> -c <target_channel>\n\n   To obtain the API token visit `this page <https://api.slack.com/custom-integrations/legacy-tokens>`_.\n   The ``<target_channel>`` parameter may either denote a channel (e.g. ``#general``) or a user (e.g. ``@me``).\n    \n   Adding the option ``-u true`` to ``%slack_setup`` will make yourself the sender of all messages. Otherwise (default) the messages originate from ``slackbot``.\n\n   In order to avoid having to write the API token in every notebook, you can create a file containing the same configuration line::\n   \n     -t <api_token> -c <target_channel> -u false\n    \n   You can then load this configuration in the notebook by invoking::\n   \n     %slack_setup <filename>\n     \n   Even simpler, if you don't call ``%slack_setup`` at all, the extension will try to auto-configure itself on first use\n   by searching for the files ``~/.ipyslack.cfg`` and ``.ipyslack.cfg`` (in this order) and\n   trying to load configuration from these.\n   \n   Later files in this search order override the settings of the previous ones. That is, you can specify ``-t <api_token> -c #default_group`` \n   in the global ``~/.ipyslack.cfg``, and only override ``-c #project_group`` in the local ``.ipyslack.cfg``.\n   \n3. Now adding::\n\n    %%slack_notify <message>\n\n   at the top of any cell will send ``<message>`` to ``<target_channel>`` whenever cell execution is completed. \n\n   The patterns ``{out}`` and ``{err}`` within ``<message>`` will be substituted with stdout or stderr from the cell's execution. The pattern ``{exc}`` denotes the exception (if any was thrown). The string ``\\n`` denotes a new line. Simiarly, any variable named ``x`` in your workspace can be referred to as ``{x}`` (in fact, you can use the standard format string notation).\n\n   Example::\n\n     %%slack_notify *Completed {len(results)} trials. Last result: {results[-1]}!* :heavy_plus_sign:\\nStdout: {out}\\nStderr: {err}\\nException: {exc}\n\n4. In addition, the line-magic ``%slack_send <message>`` lets you send notifications about partial results. E.g.::\n\n      %%slack_notify Completed. Final accuracy: {accuracy}. {exc}\n      ... computation ...\n      %slack_send Half-way! Current accuracy: {accuracy}\n      ... computation ...\n\nSee also\n--------\n\n* IPyTelegram: https://github.com/kalaidin/ipytelegram/",
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        "keywords": "matplotlib plotting charts venn-diagrams",
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        "name": "ipyslack",
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