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            "Framework :: Jupyter",
            "Intended Audience :: Developers",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.3",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
            "Topic :: Software Development :: Build Tools"
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        "description": "## IPyProgressBar\n\n[![saythanks](https://img.shields.io/badge/Say%20Thanks-!-1EAEDB.svg)](https://saythanks.io/to/WillahScott)\n\nA small package that provides an python-asynchronous progressbar widgets for use in Jupyter/IPython in conjunction with `ipywidgets`.\n\n\n### Why\n\nMany times, when building a small dashboard on IPython there are functions that take some time to be executed but cannot be split into chunks, in the middle of which we could update a progress bar.\n\nSince we want to give the user feedback that we are actually doing something and now he has to wait for a little, we can simply display the prototypical `Loading...`.\n\nHowever for some (most?) functions we may actually have a rough estimate of the time of wait and can make the wait a little more visual with a progressbar!\n\n\n### \"Python-Asynchronous\"\n\nThe progressbar needs to be updated (filled) while python is working on other things. Therefore, we can use a python thread to update the value of the progressbar. That way, our main python process can take care of other code meanwhile.\n\n\n### Usage\n\n```python\n# Create the progress bar object (not the widget)\nmy_progressbar = AsyncProgressBar(time=2, description='Loading dataset:')\n\n# Return the widget for display\nmy_progressbar.display()\n\n# ...\n\n# Trigger the progressbar\nmy_progressbar.run()\n```\n\nThe object also has a `close()` method (and its inverse `reopen()`), for hiding the progressbar whenever we want:\n\n```python\nmy_progressbar.run()\nfunction_that_takes_long()\nmy_progressbar.close(on_finish=True)  # or set close_on_finish=True on creating the progressbar object\n```\n\nHowever,for a typical use case in which we just want a temporal progressbar, we can specify the `close_on_finish` on creation:\n\n```python\n# Create the progress bar object (not the widget)\nmy_progressbar = AsyncProgressBar(time=2, description='Loading dataset:', close_on_finish=True)\n\n# ...\n\n# Trigger the progressbar\nmy_progressbar.run()  # when done the progress bar will hide\n```\n\n\n\n### Contact\n\nCreated by: [WillahScott](https://github.com/WillahScott/)\n\n\n",
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        "keywords": "widget jupyter progressbar asynchronous",
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