tqdm/examples/parallel_bars.py

64 lines
2.2 KiB
Python

from __future__ import print_function
from time import sleep
from tqdm.auto import tqdm, trange
from tqdm.contrib.concurrent import process_map, thread_map
from random import random
from multiprocessing import Pool, freeze_support
from concurrent.futures import ThreadPoolExecutor
from threading import RLock
from functools import partial
import sys
NUM_SUBITERS = 9
PY2 = sys.version_info[:1] <= (2,)
def progresser(n, auto_position=True, write_safe=False, blocking=True,
progress=False):
interval = random() * 0.002 / (NUM_SUBITERS - n + 2)
total = 5000
text = "#{}, est. {:<04.2}s".format(n, interval * total)
for _ in trange(total, desc=text, disable=not progress,
lock_args=None if blocking else (False,),
position=None if auto_position else n):
sleep(interval)
# NB: may not clear instances with higher `position` upon completion
# since this worker may not know about other bars #796
if write_safe:
# we think we know about other bars (currently only py3 threading)
if n == 6:
tqdm.write("n == 6 completed")
return n + 1
if __name__ == '__main__':
freeze_support() # for Windows support
L = list(range(NUM_SUBITERS))[::-1]
print("Simple thread mapping")
thread_map(partial(progresser, write_safe=not PY2), L, max_workers=4)
print("Simple process mapping")
process_map(partial(progresser), L, max_workers=4)
print("Manual nesting")
for i in trange(16, desc="1"):
for _ in trange(16, desc="2 @ %d" % i, leave=i % 2):
sleep(0.01)
print("Multi-processing")
p = Pool(initializer=tqdm.set_lock, initargs=(tqdm.get_lock(),))
p.map(partial(progresser, progress=True), L)
# unfortunately need ncols
# to print spaces over leftover multi-processing bars (#796)
with tqdm(leave=False) as t:
ncols = t.ncols or 80
print(("{msg:<{ncols}}").format(msg="Multi-threading", ncols=ncols))
# explicitly set just threading lock for nonblocking progress
tqdm.set_lock(RLock())
with ThreadPoolExecutor() as p:
p.map(partial(progresser, progress=True, write_safe=not PY2,
blocking=False), L)