mirror of https://github.com/tqdm/tqdm.git
50 lines
1.6 KiB
Python
50 lines
1.6 KiB
Python
from __future__ import print_function
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from time import sleep
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from tqdm import tqdm, trange
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from random import random
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from multiprocessing import Pool, freeze_support
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from concurrent.futures import ThreadPoolExecutor
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from functools import partial
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import sys
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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):
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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 tqdm(range(total), desc=text, 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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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("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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p = Pool(initializer=tqdm.set_lock, initargs=(tqdm.get_lock(),))
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p.map(progresser, L)
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# unfortunately need ncols
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# to print spaces over leftover multi-processing bars (#796)
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with tqdm(leave=False) as t:
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ncols = t.ncols or 80
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print(("{msg:<{ncols}}").format(msg="Multi-threading", ncols=ncols))
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with ThreadPoolExecutor() as p:
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progresser_thread = partial(progresser, write_safe=not PY2)
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p.map(progresser_thread, L)
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