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- Object Life Cycle — Python 3.14.8 ドキュメント 13370
- 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 » オブジェクト実装サポート (object implementation support) » Object Life Cycle テーマ 自動 ライト ダーク | Object Life Cycle ¶ This
...raverse reachable->tp_traverse not in a cyclic isolate reachable->tp_traverse periodic cyclic isolate detection finalized? marked as finalized? reachable->finalized? no refs tp_finalize tp_finalize reachable->tp_finalize resurrected (maybe remove final...nit completes, the object is ready to use. Some time after the last reference to an object is removed: If an object is not marked as finalized , it might be finalized by marking it as finalized and calling its tp_finalize function. Python does not fina...ce to it is deleted; use PyObject_CallFinalizerFromDealloc() to ensure that tp_finalize is always called. If the object is marked as finalized, tp_clear might be called by the garbage collector to clear references held by the object. It is not called w... - https://man.mtool.work/python/3.14/c-api/lifecycle.html
- Object Life Cycle — Python 3.14.8 ドキュメント 12066
- 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 » オブジェクト実装サポート (object implementation support) » Object Life Cycle テーマ 自動 ライト ダーク | Object Life Cycle ¶ This
...raverse reachable->tp_traverse not in a cyclic isolate reachable->tp_traverse periodic cyclic isolate detection finalized? marked as finalized? reachable->finalized? no refs tp_finalize tp_finalize reachable->tp_finalize resurrected (maybe remove final...nit completes, the object is ready to use. Some time after the last reference to an object is removed: If an object is not marked as finalized , it might be finalized by marking it as finalized and calling its tp_finalize function. Python does not fina...ce to it is deleted; use PyObject_CallFinalizerFromDealloc() to ensure that tp_finalize is always called. If the object is marked as finalized, tp_clear might be called by the garbage collector to clear references held by the object. It is not called w... - https://man.mtool.work/python/3.14/c-api/lifecycle.html
- graphlib --- グラフ構造を操作する機能 — Python 3.14.8 ドキュメント 9726
- 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 » データ型 » graphlib --- グラフ構造を操作する機能 テーマ 自動 ライト ダーク | graphlib --- グラフ構造を操作する機能 ¶ ソースコード:
...either there are still nodes ready that haven't yet been returned by TopologicalSorter.get_ready() or the number of nodes marked TopologicalSorter.done() is less than the number that have been returned by TopologicalSorter.get_ready() . The __bool__()...eturned in the future by a call to TopologicalSorter.get_ready() . Raises ValueError if any node in nodes has already been marked as processed by a previous call to this method or if a node was not added to the graph by using TopologicalSorter.add() ,...Returns a tuple with all the nodes that are ready. Initially it returns all nodes with no predecessors, and once those are marked as processed by calling TopologicalSorter.done() , further calls will return all new nodes that have all their predecessor... - https://man.mtool.work/python/3.14/library/graphlib.html
- typing --- 型ヒントのサポート — Python 3.14.8 ドキュメント 9726
- 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 » 開発ツール » typing --- 型ヒントのサポート テーマ 自動 ライト ダーク | typing --- 型ヒントのサポート ¶ Added in version 3.5. ソース
...e return type of a user-defined type predicate function. TypeIs only accepts a single type argument. At runtime, functions marked this way should return a boolean and take at least one positional argument. TypeIs aims to benefit type narrowing -- a tec...through the type parameter syntax or when infer_variance=True is passed. Manually created type variables may be explicitly marked covariant or contravariant by passing covariant=True or contravariant=True . By default, manually created type variables a...will raise TypeError . __name__ ¶ The name of the type variable. __covariant__ ¶ Whether the type var has been explicitly marked as covariant. __contravariant__ ¶ Whether the type var has been explicitly marked as contravariant. __infer_variance__ ¶ W... - https://man.mtool.work/python/3.14/library/typing.html
- graphlib --- グラフ構造を操作する機能 — Python 3.14.8 ドキュメント 9726
- 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 » データ型 » graphlib --- グラフ構造を操作する機能 テーマ 自動 ライト ダーク | graphlib --- グラフ構造を操作する機能 ¶ ソースコード:
...either there are still nodes ready that haven't yet been returned by TopologicalSorter.get_ready() or the number of nodes marked TopologicalSorter.done() is less than the number that have been returned by TopologicalSorter.get_ready() . The __bool__()...eturned in the future by a call to TopologicalSorter.get_ready() . Raises ValueError if any node in nodes has already been marked as processed by a previous call to this method or if a node was not added to the graph by using TopologicalSorter.add() ,...Returns a tuple with all the nodes that are ready. Initially it returns all nodes with no predecessors, and once those are marked as processed by calling TopologicalSorter.done() , further calls will return all new nodes that have all their predecessor... - https://man.mtool.work/python/3.14/library/graphlib.html
- typing --- 型ヒントのサポート — Python 3.14.8 ドキュメント 9726
- 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 » 開発ツール » typing --- 型ヒントのサポート テーマ 自動 ライト ダーク | typing --- 型ヒントのサポート ¶ Added in version 3.5. ソース
...e return type of a user-defined type predicate function. TypeIs only accepts a single type argument. At runtime, functions marked this way should return a boolean and take at least one positional argument. TypeIs aims to benefit type narrowing -- a tec...through the type parameter syntax or when infer_variance=True is passed. Manually created type variables may be explicitly marked covariant or contravariant by passing covariant=True or contravariant=True . By default, manually created type variables a...will raise TypeError . __name__ ¶ The name of the type variable. __covariant__ ¶ Whether the type var has been explicitly marked as covariant. __contravariant__ ¶ Whether the type var has been explicitly marked as contravariant. __infer_variance__ ¶ W... - https://man.mtool.work/python/3.14/library/typing.html
- dataclasses --- データクラス — Python 3.14.8 ドキュメント 9473
- 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 » Python ランタイムサービス » dataclasses --- データクラス テーマ 自動 ライト ダーク | dataclasses --- データクラス ¶ ソースコード: L
...will have the class name and the name and repr of each field, in the order they are defined in the class. Fields that are marked as being excluded from the repr are not included. For example: InventoryItem(name='widget', unit_price=3.0, quantity_on_ha...s__ will not be generated. Added in version 3.10. kw_only : If true (the default value is False ), then all fields will be marked as keyword-only. If a field is marked as keyword-only, then the only effect is that the __init__() parameter generated fro...le third-parties can each have their own key, to use as a namespace in the metadata. kw_only : If true, this field will be marked as keyword-only. This is used when the generated __init__() method's parameters are computed. Keyword-only fields are also... - https://man.mtool.work/python/3.14/library/dataclasses.html
- dataclasses --- データクラス — Python 3.14.8 ドキュメント 9473
- 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 » Python ランタイムサービス » dataclasses --- データクラス テーマ 自動 ライト ダーク | dataclasses --- データクラス ¶ ソースコード: L
...will have the class name and the name and repr of each field, in the order they are defined in the class. Fields that are marked as being excluded from the repr are not included. For example: InventoryItem(name='widget', unit_price=3.0, quantity_on_ha...s__ will not be generated. Added in version 3.10. kw_only : If true (the default value is False ), then all fields will be marked as keyword-only. If a field is marked as keyword-only, then the only effect is that the __init__() parameter generated fro...le third-parties can each have their own key, to use as a namespace in the metadata. kw_only : If true, this field will be marked as keyword-only. This is used when the generated __init__() method's parameters are computed. Keyword-only fields are also... - https://man.mtool.work/python/3.14/library/dataclasses.html
- A Conceptual Overview of asyncio — Python 3.14.8 ドキュメント 8436
- 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
...ot via tasks). Tasks mark themselves as done when their coroutine is complete. Futures are much more versatile and will be marked as done when you say so. In this way, they're the flexible interface for you to make your own conditions for waiting and r...ction. await asyncio . gather ( * work_tasks ) Below, we use a future to enable custom control over when that task will be marked as done. If future.set_result() (the method responsible for marking that future as done) is never called, then this task w...e event loop. watcher_task = asyncio . create_task ( _sleep_watcher ( future , time_to_wake )) # Block until the future is marked as done. await future Below, we use a rather bare YieldToEventLoop() object to yield from its __await__ method, ceding con... - 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 8436
- 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
...ot via tasks). Tasks mark themselves as done when their coroutine is complete. Futures are much more versatile and will be marked as done when you say so. In this way, they're the flexible interface for you to make your own conditions for waiting and r...ction. await asyncio . gather ( * work_tasks ) Below, we use a future to enable custom control over when that task will be marked as done. If future.set_result() (the method responsible for marking that future as done) is never called, then this task w...e event loop. watcher_task = asyncio . create_task ( _sleep_watcher ( future , time_to_wake )) # Block until the future is marked as done. await future Below, we use a rather bare YieldToEventLoop() object to yield from its __await__ method, ceding con... - https://man.mtool.work/python/3.14/howto/a-conceptual-overview-of-asyncio.html