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- multiprocessing.shared_memory --- プロセス間で直接アクセス可能な共有メモリ — Py... 11228
- 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.shared_memory --- プロセス間で直接アクセス可能な共有メモリ テーマ 自動 ライト ダーク | multiprocessing.s
...The following example demonstrates a practical use of the SharedMemory class with NumPy arrays , accessing the same numpy.ndarray from two distinct Python shells: >>> # In the first Python interactive shell >>> import numpy as np >>> a = np . array ([...y . SharedMemory ( create = True , size = a . nbytes ) >>> # Now create a NumPy array backed by shared memory >>> b = np . ndarray ( a . shape , dtype = a . dtype , buffer = shm . buf ) >>> b [:] = a [:] # Copy the original data into shared memory >>> b...array([1, 1, 2, 3, 5, 8]) >>> type ( b ) <class 'numpy.ndarray'> >>> type ( a ) <class 'numpy.ndarray'> >>> shm . name # We did not specify a name so one was chosen for us 'psm_21467_46... - https://man.mtool.work/python/3.14/library/multiprocessing.shared_memory.html
- multiprocessing.shared_memory --- プロセス間で直接アクセス可能な共有メモリ — Py... 7485
- 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.shared_memory --- プロセス間で直接アクセス可能な共有メモリ テーマ 自動 ライト ダーク | multiprocessing.s
...The following example demonstrates a practical use of the SharedMemory class with NumPy arrays , accessing the same numpy.ndarray from two distinct Python shells: >>> # In the first Python interactive shell >>> import numpy as np >>> a = np . array ([...y . SharedMemory ( create = True , size = a . nbytes ) >>> # Now create a NumPy array backed by shared memory >>> b = np . ndarray ( a . shape , dtype = a . dtype , buffer = shm . buf ) >>> b [:] = a [:] # Copy the original data into shared memory >>> b...array([1, 1, 2, 3, 5, 8]) >>> type ( b ) <class 'numpy.ndarray'> >>> type ( a ) <class 'numpy.ndarray'> >>> shm . name # We did not specify a name so one was chosen for us 'psm_21467_46... - https://man.mtool.work/python/3.14/library/multiprocessing.shared_memory.html
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