mirror of https://github.com/tqdm/tqdm.git
61 lines
2.1 KiB
Python
61 lines
2.1 KiB
Python
from __future__ import print_function
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from concurrent.futures import ThreadPoolExecutor
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from functools import partial
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from multiprocessing import Pool, RLock, freeze_support
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from random import random
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from threading import RLock as TRLock
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from time import sleep
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import sys
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from tqdm.auto import tqdm, trange
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from tqdm.contrib.concurrent import process_map, thread_map
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NUM_SUBITERS = 9
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PY2 = sys.version_info[:1] <= (2,)
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def progresser(n, auto_position=True, write_safe=False, blocking=True, progress=False):
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interval = random() * 0.002 / (NUM_SUBITERS - n + 2)
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total = 5000
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text = "#{}, est. {:<04.2}s".format(n, interval * total)
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for _ in trange(total, desc=text, disable=not progress,
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lock_args=None if blocking else (False,),
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position=None if auto_position else n):
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sleep(interval)
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# NB: may not clear instances with higher `position` upon completion
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# since this worker may not know about other bars #796
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if write_safe:
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# we think we know about other bars (currently only py3 threading)
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if n == 6:
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tqdm.write("n == 6 completed")
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return n + 1
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if __name__ == '__main__':
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freeze_support() # for Windows support
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L = list(range(NUM_SUBITERS))[::-1]
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print("Simple thread mapping")
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thread_map(partial(progresser, write_safe=not PY2), L, max_workers=4)
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print("Simple process mapping")
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process_map(partial(progresser), L, max_workers=4)
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print("Manual nesting")
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for i in trange(16, desc="1"):
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for _ in trange(16, desc="2 @ %d" % i, leave=i % 2):
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sleep(0.01)
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print("Multi-processing")
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tqdm.set_lock(RLock())
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p = Pool(initializer=tqdm.set_lock, initargs=(tqdm.get_lock(),))
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p.map(partial(progresser, progress=True), L)
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print("Multi-threading")
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tqdm.set_lock(TRLock())
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pool_args = {}
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if not PY2:
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pool_args.update(initializer=tqdm.set_lock, initargs=(tqdm.get_lock(),))
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with ThreadPoolExecutor(**pool_args) as p:
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p.map(partial(progresser, progress=True, write_safe=not PY2, blocking=False), L)
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