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Easy Python multiprocessing

Project description


easy_multip is a small tool designed to simplify Python multiprocessing capabilities.

Current Features

  •, arg_group, leave_one_cpu_free=True)
    • map() or list comprehension type functionality that is parallelized using multiprocessing and includes a progress bar
    • Usage is similar to the below constructs:
      list(map(func, arg_group))
      [func(arg) for arg in arg_group]
  • easy_multip.doloop(func, arg_group, leave_one_cpu_free=True)
    • for loop equivalent that runs a function that returns None
    • Useful in situations like file processing where each operation is expensive and totally independent
    • Allocates jobs evenly among processors and provides a progress bar... of sorts
    • Usage is similar to the below construct:
      for arg in arg_group:
  • easy_multip.decorators.use_multip(func, leave_one_cpu_free=True)
    • Decorator providing capability of quickly adding multiprocessing to a function operating on a list
    • ONLY for functions taking a list first arg that returns a list or None
    • DO NOT USE @decorator syntax! Must use the following pattern:
      def _func(list_arg, *args, **kwargs):
          # stuff happens
          return [] (or None)
      func = use_multip(_func)



Project details

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