Created
March 20, 2023 14:18
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Concurrent map()
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from __future__ import annotations | |
import concurrent.futures | |
from typing import Callable, Iterable | |
def concurrent_map(func: Callable[[T], T2], *it: Iterable[T], max_n_threads: int) -> list[T2]: | |
""" | |
Map a function to an iterable asynchronously | |
Examples: | |
>>> import time, requests | |
... list_of_urls = ... | |
... print('N URLs:', len(list_of_urls)) | |
... start = time.perf_counter() | |
... concurrent_map(requests.get, list_of_urls, max_n_threads=10) | |
... print('Time taken:', time.perf_counter() - start) | |
N URLs: 100 | |
Time taken: 0.7726614000002883 | |
""" | |
with concurrent.futures.ThreadPoolExecutor(max_workers=max_n_threads) as executor: | |
# it's necessary to exhaust the iterator to "re-raise" the exceptions that happened when executing the function | |
return list(executor.map(func, *it)) |
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