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    "info": {
        "author": "Zach Kurtz",
        "author_email": "zkurtz@gmail.com",
        "bugtrack_url": null,
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        "description": "When will it end\n================\n\nThis consists of a single class ``LoopProgressMonitor`` that you\ninstantiate right before a loop and then call inside the loop. It\nmonitors how long each iteration is taking and issues a forecast of when\nthe loop will conclude based on the number of iterations remaining and\nthe average time per iteration so far. It prints a new predicted end\ntime only when the most recent forecast falls too far from its internal\nestimate modulo some tolerance.\n\nRequirements\n------------\n\nPython 3 with the following modules: ``math``, ``time``\n\nSetup\n-----\n\nFrom pypi: ``pip install when_will_it_end``\n\nAlternatively, clone\nthe\\ `source <https://github.com/zkurtz/when_will_it_end>`__\\ and -\n``cd when_will_it_end`` - ``python setup.py install``\n\nExample\n-------\n\n.. code:: python\n\n   import numpy as np\n   import time\n   import when_will_it_end as wwie\n\n   number_of_iterations = 10\n\n   print('Starting time: ' + wwie.format_time(time.time()))\n\n   lpm = wwie.LoopProgressMonitor(n = number_of_iterations)\n   for k in range(number_of_iterations):\n       lpm()\n       _ = np.random.uniform(0,1,size=100000000)\n\n   print('Actual ending time: ' + wwie.format_time(time.time()))\n\nResults:\n\n::\n\n   Starting time: 18:04:42\n   Starting first of 10 iterations ...\n   Est. total 18.0 seconds, finish 18:05:00 after 9 iters at 1.8 sec/iter\n   Est. total 20.0 seconds, finish 18:05:02 after 6 iters at 2.0 sec/iter\n   Actual ending time: 18:05:01",
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        "keywords": "",
        "license": "MIT",
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        "name": "when-will-it-end",
        "package_url": "https://pypi.org/project/when-will-it-end/",
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        "summary": "A simpler progress monitor",
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