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multiprocessing --- プロセスベースの並列処理 — Python 3.14.8 ドキュメント 14271
ナビゲーション 索引 モジュール | 次へ | 前へ | Python » 3.14.8 Documentation » The Python standard library » 並行実行 » multiprocessing --- プロセスベースの並列処理 テーマ 自動 ライト ダーク | multiprocessing --- プロセスベースの並列処理 ¶ ... multiple processors on a given machine. It runs on both POSIX and Windows. The multiprocessing module also introduces the Pool object which offers a convenient means of parallelizing the execution of a function across multiple input values, distribu ... ions in a module so that child processes can successfully import that module. This basic example of data parallelism using Pool , from multiprocessing import Pool def f ( x ): return x * x if __name__ == '__main__' : with Pool ( 5 ) as p : print ( p ... the threading module, like the ability to terminate , interrupt or kill a running process. 参考 concurrent.futures.ProcessPoolExecutor offers a higher level interface to push tasks to a background process without blocking execution of the calling pr ...
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multiprocessing --- プロセスベースの並列処理 — Python 3.14.8 ドキュメント 14199
ナビゲーション 索引 モジュール | 次へ | 前へ | Python » 3.14.8 Documentation » The Python standard library » 並行実行 » multiprocessing --- プロセスベースの並列処理 テーマ 自動 ライト ダーク | multiprocessing --- プロセスベースの並列処理 ¶ ... multiple processors on a given machine. It runs on both POSIX and Windows. The multiprocessing module also introduces the Pool object which offers a convenient means of parallelizing the execution of a function across multiple input values, distribu ... ions in a module so that child processes can successfully import that module. This basic example of data parallelism using Pool , from multiprocessing import Pool def f ( x ): return x * x if __name__ == '__main__' : with Pool ( 5 ) as p : print ( p ... the threading module, like the ability to terminate , interrupt or kill a running process. 参考 concurrent.futures.ProcessPoolExecutor offers a higher level interface to push tasks to a background process without blocking execution of the calling pr ...
https://man.mtool.work/python/3.14/library/multiprocessing.html
itertools --- 効率的なループ用のイテレータ生成関数群 — Python 3.14.8 ドキュメン... 9118
ナビゲーション 索引 モジュール | 次へ | 前へ | Python » 3.14.8 Documentation » The Python standard library » 関数型プログラミング用モジュール » itertools --- 効率的なループ用のイテレータ生成関数群 テーマ 自動 ライト ダーク | itertools --- 効 ... combinations ( iterable , r ): # combinations('ABCD', 2) → AB AC AD BC BD CD # combinations(range(4), 3) → 012 013 023 123 pool = tuple ( iterable ) n = len ( pool ) if r > n : return indices = list ( range ( r )) yield tuple ( pool [ i ] for i in in ... : break else : return indices [ i ] += 1 for j in range ( i + 1 , r ): indices [ j ] = indices [ j - 1 ] + 1 yield tuple ( pool [ i ] for i in indices ) itertools. combinations_with_replacement ( iterable , r ) ¶ 入力 iterable から、それぞれの要素が複 ... 等価です: def combinations_with_replacement ( iterable , r ): # combinations_with_replacement('ABC', 2) → AA AB AC BB BC CC pool = tuple ( iterable ) n = len ( pool ) if not n and r : return indices = [ 0 ] * r yield tuple ( pool [ i ] for i in indice ...
https://man.mtool.work/python/3.14/library/itertools.html
itertools --- 効率的なループ用のイテレータ生成関数群 — Python 3.14.8 ドキュメン... 9118
ナビゲーション 索引 モジュール | 次へ | 前へ | Python » 3.14.8 Documentation » The Python standard library » 関数型プログラミング用モジュール » itertools --- 効率的なループ用のイテレータ生成関数群 テーマ 自動 ライト ダーク | itertools --- 効 ... combinations ( iterable , r ): # combinations('ABCD', 2) → AB AC AD BC BD CD # combinations(range(4), 3) → 012 013 023 123 pool = tuple ( iterable ) n = len ( pool ) if r > n : return indices = list ( range ( r )) yield tuple ( pool [ i ] for i in in ... : break else : return indices [ i ] += 1 for j in range ( i + 1 , r ): indices [ j ] = indices [ j - 1 ] + 1 yield tuple ( pool [ i ] for i in indices ) itertools. combinations_with_replacement ( iterable , r ) ¶ 入力 iterable から、それぞれの要素が複 ... 等価です: def combinations_with_replacement ( iterable , r ): # combinations_with_replacement('ABC', 2) → AA AB AC BB BC CC pool = tuple ( iterable ) n = len ( pool ) if not n and r : return indices = [ 0 ] * r yield tuple ( pool [ i ] for i in indice ...
https://man.mtool.work/python/3.14/library/itertools.html
Event loop — Python 3.14.8 ドキュメント 8230
ナビゲーション 索引 モジュール | 次へ | 前へ | Python » 3.14.8 Documentation » The Python standard library » ネットワーク通信とプロセス間通信 » asyncio --- 非同期 I/O » Event loop テーマ 自動 ライト ダーク | Event loop ¶ ソースコード: Lib/a ... ( timeout = None ) ¶ Schedule the closure of the default executor and wait for it to join all of the threads in the ThreadPoolExecutor . Once this method has been called, using the default executor with loop.run_in_executor() will raise a RuntimeErr ... です。 注釈 Both getaddrinfo and getnameinfo internally utilize their synchronous versions through the loop's default thread pool executor. When this executor is saturated, these methods may experience delays, which higher-level networking libraries ma ... executor is None . The default executor can be set by loop.set_default_executor() , otherwise, a concurrent.futures.ThreadPoolExecutor will be lazy-initialized and used by run_in_executor() if needed. 以下はプログラム例です: import asyncio import co ...
https://man.mtool.work/python/3.14/library/asyncio-eventloop.html
concurrent.futures --- 並列タスク実行 — Python 3.14.8 ドキュメント 8230
ナビゲーション 索引 モジュール | 次へ | 前へ | Python » 3.14.8 Documentation » The Python standard library » 並行実行 » concurrent.futures --- 並列タスク実行 テーマ 自動 ライト ダーク | concurrent.futures --- 並列タスク実行 ¶ Added in versi ... el interface for asynchronously executing callables. The asynchronous execution can be performed with threads, using ThreadPoolExecutor or InterpreterPoolExecutor , or separate processes, using ProcessPoolExecutor . Each implements the same interface ... s) として実行するようにスケジュールし、呼び出し可能オブジェクトの実行を表現する Future オブジェクトを返します。 with ThreadPoolExecutor ( max_workers = 1 ) as executor : future = executor . submit ( pow , 323 , 1235 ) print ( future . result ()) map ... りません。 もし fn の呼び出しが例外を送出した場合、その例外はイテレータから値を受け取る時に送出されます。 When using ProcessPoolExecutor , this method chops iterables into a number of chunks which it submits to the pool as separate tasks. The (approxi ...
https://man.mtool.work/python/3.14/library/concurrent.futures.html
Event loop — Python 3.14.8 ドキュメント 8230
ナビゲーション 索引 モジュール | 次へ | 前へ | Python » 3.14.8 Documentation » The Python standard library » ネットワーク通信とプロセス間通信 » asyncio --- 非同期 I/O » Event loop テーマ 自動 ライト ダーク | Event loop ¶ ソースコード: Lib/a ... ( timeout = None ) ¶ Schedule the closure of the default executor and wait for it to join all of the threads in the ThreadPoolExecutor . Once this method has been called, using the default executor with loop.run_in_executor() will raise a RuntimeErr ... です。 注釈 Both getaddrinfo and getnameinfo internally utilize their synchronous versions through the loop's default thread pool executor. When this executor is saturated, these methods may experience delays, which higher-level networking libraries ma ... executor is None . The default executor can be set by loop.set_default_executor() , otherwise, a concurrent.futures.ThreadPoolExecutor will be lazy-initialized and used by run_in_executor() if needed. 以下はプログラム例です: import asyncio import co ...
https://man.mtool.work/python/3.14/library/asyncio-eventloop.html
concurrent.futures --- 並列タスク実行 — Python 3.14.8 ドキュメント 8230
ナビゲーション 索引 モジュール | 次へ | 前へ | Python » 3.14.8 Documentation » The Python standard library » 並行実行 » concurrent.futures --- 並列タスク実行 テーマ 自動 ライト ダーク | concurrent.futures --- 並列タスク実行 ¶ Added in versi ... el interface for asynchronously executing callables. The asynchronous execution can be performed with threads, using ThreadPoolExecutor or InterpreterPoolExecutor , or separate processes, using ProcessPoolExecutor . Each implements the same interface ... s) として実行するようにスケジュールし、呼び出し可能オブジェクトの実行を表現する Future オブジェクトを返します。 with ThreadPoolExecutor ( max_workers = 1 ) as executor : future = executor . submit ( pow , 323 , 1235 ) print ( future . result ()) map ... りません。 もし fn の呼び出しが例外を送出した場合、その例外はイテレータから値を受け取る時に送出されます。 When using ProcessPoolExecutor , this method chops iterables into a number of chunks which it submits to the pool as separate tasks. The (approxi ...
https://man.mtool.work/python/3.14/library/concurrent.futures.html
random --- 疑似乱数を生成する — Python 3.14.8 ドキュメント 8001
ナビゲーション 索引 モジュール | 次へ | 前へ | Python » 3.14.8 Documentation » The Python standard library » 数値と数学モジュール » random --- 疑似乱数を生成する テーマ 自動 ライト ダーク | random --- 疑似乱数を生成する ¶ ソースコード: Lib/ ... ndom def random_product ( * iterables , repeat = 1 ): "Random selection from itertools.product(*iterables, repeat=repeat)" pools = tuple ( map ( tuple , iterables )) * repeat return tuple ( map ( random . choice , pools )) def random_permutation ( it ... erable , r = None ): "Random selection from itertools.permutations(iterable, r)" pool = tuple ( iterable ) r = len ( pool ) if r is None else r return tuple ( random . sample ( pool , r )) def random_combinat ... ion ( iterable , r ): "Random selection from itertools.combinations(iterable, r)" pool = tuple ( iterable ) n = len ( pool ) indices = sorted ( random . sample ( range ( n ), r )) return tuple ( pool [ i ] for ...
https://man.mtool.work/python/3.14/library/random.html
random --- 疑似乱数を生成する — Python 3.14.8 ドキュメント 8001
ナビゲーション 索引 モジュール | 次へ | 前へ | Python » 3.14.8 Documentation » The Python standard library » 数値と数学モジュール » random --- 疑似乱数を生成する テーマ 自動 ライト ダーク | random --- 疑似乱数を生成する ¶ ソースコード: Lib/ ... ndom def random_product ( * iterables , repeat = 1 ): "Random selection from itertools.product(*iterables, repeat=repeat)" pools = tuple ( map ( tuple , iterables )) * repeat return tuple ( map ( random . choice , pools )) def random_permutation ( it ... erable , r = None ): "Random selection from itertools.permutations(iterable, r)" pool = tuple ( iterable ) r = len ( pool ) if r is None else r return tuple ( random . sample ( pool , r )) def random_combinat ... ion ( iterable , r ): "Random selection from itertools.combinations(iterable, r)" pool = tuple ( iterable ) n = len ( pool ) indices = sorted ( random . sample ( range ( n ), r )) return tuple ( pool [ i ] for ...
https://man.mtool.work/python/3.14/library/random.html
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