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107 lines
3.7 KiB
107 lines
3.7 KiB
"""
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Thin wrappers around `concurrent.futures`.
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"""
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from __future__ import absolute_import
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from tqdm import TqdmWarning
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from tqdm.auto import tqdm as tqdm_auto
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from copy import deepcopy
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try:
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from operator import length_hint
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except ImportError:
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def length_hint(it, default=0):
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"""Returns `len(it)`, falling back to `default`"""
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try:
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return len(it)
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except TypeError:
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return default
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try:
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from os import cpu_count
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except ImportError:
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try:
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from multiprocessing import cpu_count
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except ImportError:
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def cpu_count():
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return 4
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import sys
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__author__ = {"github.com/": ["casperdcl"]}
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__all__ = ['thread_map', 'process_map']
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def _executor_map(PoolExecutor, fn, *iterables, **tqdm_kwargs):
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"""
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Implementation of `thread_map` and `process_map`.
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Parameters
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----------
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tqdm_class : [default: tqdm.auto.tqdm].
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max_workers : [default: min(32, cpu_count() + 4)].
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chunksize : [default: 1].
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"""
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kwargs = deepcopy(tqdm_kwargs)
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if "total" not in kwargs:
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kwargs["total"] = len(iterables[0])
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tqdm_class = kwargs.pop("tqdm_class", tqdm_auto)
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max_workers = kwargs.pop("max_workers", min(32, cpu_count() + 4))
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chunksize = kwargs.pop("chunksize", 1)
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pool_kwargs = dict(max_workers=max_workers)
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sys_version = sys.version_info[:2]
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if sys_version >= (3, 7):
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# share lock in case workers are already using `tqdm`
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pool_kwargs.update(
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initializer=tqdm_class.set_lock, initargs=(tqdm_class.get_lock(),))
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map_args = {}
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if not (3, 0) < sys_version < (3, 5):
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map_args.update(chunksize=chunksize)
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with PoolExecutor(**pool_kwargs) as ex:
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return list(tqdm_class(
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ex.map(fn, *iterables, **map_args), **kwargs))
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def thread_map(fn, *iterables, **tqdm_kwargs):
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"""
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Equivalent of `list(map(fn, *iterables))`
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driven by `concurrent.futures.ThreadPoolExecutor`.
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Parameters
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----------
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tqdm_class : optional
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`tqdm` class to use for bars [default: tqdm.auto.tqdm].
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max_workers : int, optional
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Maximum number of workers to spawn; passed to
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`concurrent.futures.ThreadPoolExecutor.__init__`.
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[default: max(32, cpu_count() + 4)].
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"""
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from concurrent.futures import ThreadPoolExecutor
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return _executor_map(ThreadPoolExecutor, fn, *iterables, **tqdm_kwargs)
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def process_map(fn, *iterables, **tqdm_kwargs):
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"""
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Equivalent of `list(map(fn, *iterables))`
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driven by `concurrent.futures.ProcessPoolExecutor`.
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Parameters
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----------
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tqdm_class : optional
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`tqdm` class to use for bars [default: tqdm.auto.tqdm].
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max_workers : int, optional
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Maximum number of workers to spawn; passed to
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`concurrent.futures.ProcessPoolExecutor.__init__`.
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[default: min(32, cpu_count() + 4)].
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chunksize : int, optional
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Size of chunks sent to worker processes; passed to
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`concurrent.futures.ProcessPoolExecutor.map`. [default: 1].
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"""
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from concurrent.futures import ProcessPoolExecutor
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if iterables and "chunksize" not in tqdm_kwargs:
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# default `chunksize=1` has poor performance for large iterables
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# (most time spent dispatching items to workers).
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longest_iterable_len = max(map(length_hint, iterables))
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if longest_iterable_len > 1000:
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from warnings import warn
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warn("Iterable length %d > 1000 but `chunksize` is not set."
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" This may seriously degrade multiprocess performance."
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" Set `chunksize=1` or more." % longest_iterable_len,
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TqdmWarning, stacklevel=2)
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return _executor_map(ProcessPoolExecutor, fn, *iterables, **tqdm_kwargs)
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