mirror of
https://github.com/morpheus65535/bazarr.git
synced 2024-09-20 15:35:58 +08:00
106 lines
3.9 KiB
Python
106 lines
3.9 KiB
Python
"""
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Thin wrappers around `concurrent.futures`.
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"""
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from contextlib import contextmanager
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from operator import length_hint
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from os import cpu_count
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from ..auto import tqdm as tqdm_auto
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from ..std import TqdmWarning
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__author__ = {"github.com/": ["casperdcl"]}
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__all__ = ['thread_map', 'process_map']
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@contextmanager
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def ensure_lock(tqdm_class, lock_name=""):
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"""get (create if necessary) and then restore `tqdm_class`'s lock"""
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old_lock = getattr(tqdm_class, '_lock', None) # don't create a new lock
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lock = old_lock or tqdm_class.get_lock() # maybe create a new lock
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lock = getattr(lock, lock_name, lock) # maybe subtype
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tqdm_class.set_lock(lock)
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yield lock
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if old_lock is None:
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del tqdm_class._lock
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else:
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tqdm_class.set_lock(old_lock)
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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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lock_name : [default: "":str].
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"""
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kwargs = tqdm_kwargs.copy()
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if "total" not in kwargs:
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kwargs["total"] = length_hint(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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lock_name = kwargs.pop("lock_name", "")
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with ensure_lock(tqdm_class, lock_name=lock_name) as lk:
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# share lock in case workers are already using `tqdm`
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with PoolExecutor(max_workers=max_workers, initializer=tqdm_class.set_lock,
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initargs=(lk,)) as ex:
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return list(tqdm_class(ex.map(fn, *iterables, chunksize=chunksize), **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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lock_name : str, optional
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Member of `tqdm_class.get_lock()` to use [default: mp_lock].
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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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if "lock_name" not in tqdm_kwargs:
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tqdm_kwargs = tqdm_kwargs.copy()
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tqdm_kwargs["lock_name"] = "mp_lock"
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return _executor_map(ProcessPoolExecutor, fn, *iterables, **tqdm_kwargs)
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