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from multiprocessing import cpu_count |
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from multiprocessing.pool import Pool |
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from tqdm import tqdm |
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View Code Duplication |
def pool_process(func, iterable, cpus=cpu_count(), return_vals=False, cpu_reduction=0, progress_bar=False): |
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""" |
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Multiprocessing helper function for performing looped operation using multiple processors. |
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:param func: Function to call |
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:param iterable: Iterable object to perform each function on |
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:param cpus: Number of cpu cores, defaults to system's cpu count |
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:param return_vals: Bool, returns output values when True |
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:param cpu_reduction: Number of cpu core's to not use |
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:param progress_bar: Display text based progress bar |
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:return: |
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""" |
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with Pool(cpus - abs(cpu_reduction)) as pool: |
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# Return values returned by 'func' |
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if return_vals: |
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# Show progress bar |
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if progress_bar: |
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vals = [v for v in tqdm(pool.imap_unordered(func, iterable), total=len(iterable))] |
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# No progress bar |
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else: |
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vals = pool.map(func, iterable) |
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# Close pool and return values |
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pool.close() |
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# pool.join() |
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return vals |
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# Don't capture values returned by 'func' |
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else: |
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pool.map(func, iterable) |
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pool.close() |
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return True |
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View Code Duplication |
class PoolProcess: |
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_func = None |
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_iterable = None |
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def __init__(self, func, iterable, cpus=cpu_count(), cpu_reduction=0, filter_nulls=False): |
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""" |
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Multiprocessing helper function for performing looped operation using multiple processors. |
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:param func: Function to call |
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:param iterable: Iterable object to perform each function on |
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:param cpus: Number of cpu cores, defaults to system's cpu count |
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:param cpu_reduction: Number of cpu core's to not use |
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:param filter_nulls: Bool, when true None values are removed from the result list before return |
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""" |
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self._func = func |
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self._iterable = iterable |
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self.cpu_count = cpus - abs(cpu_reduction) |
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self.filter_nulls = filter_nulls |
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self._result = None |
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@property |
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def result(self): |
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"""Return the results returned by map_return or map_tqdm methods.""" |
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# Remove None values from self._result if filter_nulls is enabled |
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return [i for i in self._result if i is not None] if self.filter_nulls else self._result |
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def map(self): |
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"""Perform a function on every item in an iterable.""" |
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with Pool(self.cpu_count) as pool: |
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pool.map(self._func, self._iterable) |
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pool.close() |
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return True |
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def map_return(self): |
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"""Perform a function on every item and return a list of yield values.""" |
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with Pool(self.cpu_count) as pool: |
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self._result = pool.map(self._func, self._iterable) |
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pool.close() |
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return self.result |
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def map_tqdm(self, desc=None, unit='it'): |
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""" |
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Perform a function on every item while displaying a progress bar. |
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:param desc: Optional, progress bar description |
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:param unit: Optional, progress bar units (default is 'it' for 'iteration') |
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:return: A list of yielded values |
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""" |
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tqdm_args = dict(total=len(self._iterable), desc=desc, unit=unit) |
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with Pool(self.cpu_count) as pool: |
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self._result = [v for v in tqdm(pool.imap_unordered(self._func, self._iterable), **tqdm_args)] |
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pool.close() |
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return self.result |
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sfneal /
dirutility
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