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        "author": "Dominic Slee",
        "author_email": "domslee1@gmail.com",
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        "description": "# multiprocessing-wrap\n\n[![Build Status](https://travis-ci.org/domsleee/multiprocessing-wrap.svg?branch=master)](https://travis-ci.org/domsleee/multiprocessing-wrap)\n[![PyPI shield](https://img.shields.io/pypi/v/multiprocessing-wrap.svg?style=flat-square)](https://pypi.org/project/multiprocessing-wrap/)\n\nA simple interface for writing concurrent scripts. Get the most out of `multiprocessing` without all the boilerplate and confusing syntax!\n\n## Features\n\n* Sensible error propagation - having a stack trace showing where your code speeds debugging and development\n* Built-in loading bar as default using [tqdm](https://github.com/tqdm/tqdm)\n* Uses [dill](https://github.com/uqfoundation/dill) for pickling, which extends the types that can be passed to your workers (see [here](http://docs.python.org/library/pickle.html#what-can-be-pickled-and-unpickled) for documentation of the limitations of python's default pickling)\n\n## Installation\n\nTo install using pip:\n\n~~~bash\npip install multiprocessing-wrap\n~~~\n\n## Usage\n\nYou can use the functional `multiprocess` for single line multiprocessing:\n\n~~~python\nfrom multiprocess import multiprocess\n\nf = lambda: print(1)\nmultiprocess(f, [(), (), ()])\n~~~\n\n~~~bash\n1  \n1  \n1\n~~~\n\nOtherwise you can use the `Multiprocess` class to use the more explicit `add_tasks` and `do_tasks` directives:\n\n~~~python\nfrom multiprocess import Multiprocess\n\nm = Multiprocess(show_loading_bar=False)\nf = lambda: print(1)\nm.add_tasks(f, [(), (), ()])\nm.do_tasks() # blocking\nm.close()\n~~~\n\nA more involved example of sorting numbers using `sleep`. Since the worker function is run in a different process, to transfer data between the processes we use a thread-safe `Queue`. Note the following only works if you have at least 2 threads:\n~~~python\nfrom multiprocess import multiprocess, Queue\nfrom time import sleep\n\ndef sleep_sort():\n  q = Queue()\n  def f(q, x):\n    sleep(x)\n    q.push(x)\n\n  multiprocess(f, [(q, 1,), (q, 2,)])\n  print('SORTED')\n  while not q.empty():\n    print(q.pop())\n\nsleep_sort()\n~~~\n\n~~~bash \n1  \n2\n~~~\n\n## Error handling\nErrors from within a process are propagated back to the parent with stack information. For example:\n\n~~~python\nfrom multiprocess import Multiprocess\n\nm = Multiprocess()\ndef f(x):\n  raise ValueError('bad error')\n\nm.add_tasks(f, [(1,)])\nm.do_tasks()\nm.close()\n~~~\n\n~~~bash\nTraceback (most recent call last):\n  File \"<stdin>\", line 1, in <module>\n  File \"/Users/dom/Documents/git/Multiprocess/multiprocess/multiprocessClass.py\", line 61, in do_tasks\n    self._check_for_exceptions()\n  File \"/Users/dom/Documents/git/Multiprocess/multiprocess/multiprocessClass.py\", line 79, in _check_for_exceptions\n    \"\\n\".join(['ERROR: ' + str(e) for e in exceptions]))\nmultiprocess.multiprocessClass.MultiprocessProcessException: 1 errors occurred:\nERROR: Error in function call \"f((1,))\"\nTraceback (most recent call last):\n  File \"/Users/dom/Documents/git/Multiprocess/multiprocess/multiprocessClass.py\", line 95, in my_worker\n    fn(*rem_args)\n  File \"<stdin>\", line 2, in f\nValueError: bad errorr\n~~~\n\n\n\n",
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