Results of 1 - 10 of about 101 for important (0.003 sec.)
- PyTime C API — Python 3.14.8 ドキュメント 14697
- ナビゲーション 索引 モジュール | 次へ | 前へ | Python » 3.14.8 Documentation » Python/C API reference manual » ユーティリティ » PyTime C API テーマ 自動 ライト ダーク | PyTime C API ¶ Added in version 3.13. クロック C API は、システムクロッ
...an attached thread state . int PyTime_Monotonic ( PyTime_t * result ) ¶ Read the monotonic clock. See time.monotonic() for important details on this clock. int PyTime_PerfCounter ( PyTime_t * result ) ¶ Read the performance counter. See time.perf_counter(...) for important details on this clock. int PyTime_Time ( PyTime_t * result ) ¶ Read the “wall clock” time. See time.time() for details imp...ワード PyTime clock don't time exception functions thread state attached Similar require integer Time range they return Read important details double クロック timestamp reference timestamps epoch 目次 PyTime C API 型 Clock Functions Raw Clock Functions Conv... - https://man.mtool.work/python/3.14/c-api/time.html
- PyTime C API — Python 3.14.8 ドキュメント 12427
- ナビゲーション 索引 モジュール | 次へ | 前へ | Python » 3.14.8 Documentation » Python/C API reference manual » ユーティリティ » PyTime C API テーマ 自動 ライト ダーク | PyTime C API ¶ Added in version 3.13. クロック C API は、システムクロッ
...an attached thread state . int PyTime_Monotonic ( PyTime_t * result ) ¶ Read the monotonic clock. See time.monotonic() for important details on this clock. int PyTime_PerfCounter ( PyTime_t * result ) ¶ Read the performance counter. See time.perf_counter(...) for important details on this clock. int PyTime_Time ( PyTime_t * result ) ¶ Read the “wall clock” time. See time.time() for details imp... - https://man.mtool.work/python/3.14/c-api/time.html
- A Conceptual Overview of asyncio — Python 3.14.8 ドキュメント 9832
- ナビゲーション 索引 モジュール | 次へ | 前へ | Python » 3.14.8 Documentation » Python HOWTO » A Conceptual Overview of asyncio テーマ 自動 ライト ダーク | A Conceptual Overview of asyncio ¶ This HOWTO article seeks to help you build a sturd
...not reach the following print statement until the # coroutine main() finishes. print ( "coroutine main() is done!" ) It's important to be aware that the task itself is not added to the event loop, only a callback to the task is. This matters if the task...ask will cede control from the current task or coroutine to the event loop. In the process of relinquishing control, a few important things happen. We'll use the following code example to illustrate: async def plant_a_tree (): dig_the_hole_task = asyncio...pausing for a moment here and making sure you followed the various ways that control flow and values were passed. A lot of important ideas were covered and it's worth ensuring your understanding is firm. The only way to yield (or effectively cede control)... - https://man.mtool.work/python/3.14/howto/a-conceptual-overview-of-asyncio.html
- A Conceptual Overview of asyncio — Python 3.14.8 ドキュメント 9832
- ナビゲーション 索引 モジュール | 次へ | 前へ | Python » 3.14.8 Documentation » Python HOWTO » A Conceptual Overview of asyncio テーマ 自動 ライト ダーク | A Conceptual Overview of asyncio ¶ This HOWTO article seeks to help you build a sturd
...not reach the following print statement until the # coroutine main() finishes. print ( "coroutine main() is done!" ) It's important to be aware that the task itself is not added to the event loop, only a callback to the task is. This matters if the task...ask will cede control from the current task or coroutine to the event loop. In the process of relinquishing control, a few important things happen. We'll use the following code example to illustrate: async def plant_a_tree (): dig_the_hole_task = asyncio...pausing for a moment here and making sure you followed the various ways that control flow and values were passed. A lot of important ideas were covered and it's worth ensuring your understanding is firm. The only way to yield (or effectively cede control)... - https://man.mtool.work/python/3.14/howto/a-conceptual-overview-of-asyncio.html
- Python support for the Linux perf profiler — Python 3.14.8 ドキュメント 8535
- ナビゲーション 索引 モジュール | 次へ | 前へ | Python » 3.14.8 Documentation » Python HOWTO » Python support for the Linux perf profiler テーマ 自動 ライト ダーク | Python support for the Linux perf profiler ¶ author : Pablo Galindo The Lin
...tes, but you can change the size by passing it after a comma like --call-graph dwarf,16384 . The size of the stack dump is important because if the size is too small perf will not be able to unwind the stack and the output will be incomplete. On the other...e able to sample the process as frequently as it would like as the overhead will be higher. The stack size is particularly important when profiling Python code compiled with low optimization levels (like -O0 ), as these builds tend to have larger stack fr... - https://man.mtool.work/python/3.14/howto/perf_profiling.html
- Python support for the Linux perf profiler — Python 3.14.8 ドキュメント 8535
- ナビゲーション 索引 モジュール | 次へ | 前へ | Python » 3.14.8 Documentation » Python HOWTO » Python support for the Linux perf profiler テーマ 自動 ライト ダーク | Python support for the Linux perf profiler ¶ author : Pablo Galindo The Lin
...tes, but you can change the size by passing it after a comma like --call-graph dwarf,16384 . The size of the stack dump is important because if the size is too small perf will not be able to unwind the stack and the output will be incomplete. On the other...e able to sample the process as frequently as it would like as the overhead will be higher. The stack size is particularly important when profiling Python code compiled with low optimization levels (like -O0 ), as these builds tend to have larger stack fr... - https://man.mtool.work/python/3.14/howto/perf_profiling.html
- C API Extension Support for Free Threading — Python 3.14.8 ドキュメント 7886
- ナビゲーション 索引 モジュール | 次へ | 前へ | Python » 3.14.8 Documentation » Python HOWTO » C API Extension Support for Free Threading テーマ 自動 ライト ダーク | C API Extension Support for Free Threading ¶ Starting with the 3.13 release
...yMutex is used without a critical section, it will not be released and therefore does not get the same deadlock avoidance. Important Considerations ¶ Critical sections may temporarily release their locks, allowing other threads to modify the protected dat...State Critical Sections What Are Critical Sections? Using Critical Sections How Critical Sections Work Deadlock Avoidance Important Considerations Building Extensions for the Free-Threaded Build Limited C API and Stable ABI Windows 前のトピックへ Python... - https://man.mtool.work/python/3.14/howto/free-threading-extensions.html
- C API Extension Support for Free Threading — Python 3.14.8 ドキュメント 7886
- ナビゲーション 索引 モジュール | 次へ | 前へ | Python » 3.14.8 Documentation » Python HOWTO » C API Extension Support for Free Threading テーマ 自動 ライト ダーク | C API Extension Support for Free Threading ¶ Starting with the 3.13 release
...yMutex is used without a critical section, it will not be released and therefore does not get the same deadlock avoidance. Important Considerations ¶ Critical sections may temporarily release their locks, allowing other threads to modify the protected dat...State Critical Sections What Are Critical Sections? Using Critical Sections How Critical Sections Work Deadlock Avoidance Important Considerations Building Extensions for the Free-Threaded Build Limited C API and Stable ABI Windows 前のトピックへ Python... - https://man.mtool.work/python/3.14/howto/free-threading-extensions.html
- Multiple interpreters in a Python process — Python 3.14.8 ドキュメント 7562
- ナビゲーション 索引 モジュール | 次へ | 前へ | Python » 3.14.8 Documentation » Python/C API reference manual » Multiple interpreters in a Python process テーマ 自動 ライト ダーク | Multiple interpreters in a Python process ¶ ほとんどの場合は
...u can create a sub-interpreter that is completely isolated from other interpreters, including having its own GIL. The most important benefit of this isolation is that such an interpreter can execute Python code without being blocked by other interpreters...t operations executed by such objects may affect the wrong (sub-)interpreter's dictionary of loaded modules. It is equally important to avoid sharing objects from which the above are reachable. サブインタプリタを PyGILState_* API と組み合わせるのが難しいこ... - https://man.mtool.work/python/3.14/c-api/subinterpreters.html
- Multiple interpreters in a Python process — Python 3.14.8 ドキュメント 7562
- ナビゲーション 索引 モジュール | 次へ | 前へ | Python » 3.14.8 Documentation » Python/C API reference manual » Multiple interpreters in a Python process テーマ 自動 ライト ダーク | Multiple interpreters in a Python process ¶ ほとんどの場合は
...u can create a sub-interpreter that is completely isolated from other interpreters, including having its own GIL. The most important benefit of this isolation is that such an interpreter can execute Python code without being blocked by other interpreters...t operations executed by such objects may affect the wrong (sub-)interpreter's dictionary of loaded modules. It is equally important to avoid sharing objects from which the above are reachable. サブインタプリタを PyGILState_* API と組み合わせるのが難しいこ... - https://man.mtool.work/python/3.14/c-api/subinterpreters.html