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analysis/analysis-api/src/org/jetbrains/kotlin/analysis/api/renderer/declarations/modifiers/renderers/KtModifierListRenderer.kt
analysisSession: KaSession, symbol: KaDeclarationSymbol, declarationModifiersRenderer: KaDeclarationModifiersRenderer, printer: PrettyPrinter, ) public object AS_LIST : KaModifierListRenderer { override fun renderModifiers( analysisSession: KaSession, symbol: KaDeclarationSymbol, declarationModifiersRenderer: KaDeclarationModifiersRenderer,
Registered: Wed Jun 12 09:53:16 UTC 2024 - Last Modified: Wed May 22 06:28:34 UTC 2024 - 2.6K bytes - Viewed (0) -
docs/em/docs/tutorial/body-nested-models.md
* 🚥 👆 🐍 ⏬ 🔅 🌘 3️⃣.9️⃣, 🗄 👫 🌓 ⏬ ⚪️➡️ `typing` 🕹 * 🚶♀️ 🔗 🆎(Ⓜ) "🆎 🔢" ⚙️ ⬜ 🗜: `[` & `]` 🐍 3️⃣.9️⃣ ⚫️ 🔜: ```Python my_list: list[str] ``` ⏬ 🐍 ⏭ 3️⃣.9️⃣, ⚫️ 🔜: ```Python from typing import List my_list: List[str] ``` 👈 🌐 🐩 🐍 ❕ 🆎 📄. ⚙️ 👈 🎏 🐩 ❕ 🏷 🔢 ⏮️ 🔗 🆎. , 👆 🖼, 👥 💪 ⚒ `tags` 🎯 "📇 🎻": === "🐍 3️⃣.6️⃣ & 🔛"
Registered: Mon Jun 17 08:32:26 UTC 2024 - Last Modified: Fri Mar 22 01:42:11 UTC 2024 - 9.2K bytes - Viewed (0) -
docs/de/docs/tutorial/body-nested-models.md
* Überreichen Sie den/die inneren Typ(en) von eckigen Klammern umschlossen, `[` und `]`, als „Typ-Parameter“ In Python 3.9 wäre das: ```Python my_list: list[str] ``` Und in Python-Versionen vor 3.9: ```Python from typing import List my_list: List[str] ``` Das ist alles Standard-Python-Syntax für Typdeklarationen. Verwenden Sie dieselbe Standardsyntax für Modellattribute mit inneren Typen.
Registered: Mon Jun 17 08:32:26 UTC 2024 - Last Modified: Fri Mar 22 01:42:11 UTC 2024 - 10.4K bytes - Viewed (0) -
analysis/analysis-api/src/org/jetbrains/kotlin/analysis/api/renderer/declarations/impl/KtDeclarationRendererForSource.kt
bodyMemberScopeSorter = KaRendererBodyMemberScopeSorter.ENUM_ENTRIES_AT_BEGINING superTypeRenderer = KaSuperTypeRenderer.WITH_OUT_APPROXIMATION superTypeListRenderer = KaSuperTypeListRenderer.AS_LIST superTypesFilter = KaSuperTypesFilter.NO_DEFAULT_TYPES superTypesArgumentRenderer = KaSuperTypesCallArgumentsRenderer.EMPTY_PARENS functionLikeBodyRenderer = KaFunctionLikeBodyRenderer.NO_BODY
Registered: Wed Jun 12 09:53:16 UTC 2024 - Last Modified: Wed May 22 06:28:34 UTC 2024 - 6.2K bytes - Viewed (0) -
docs/ru/docs/tutorial/body-nested-models.md
* Передайте внутренний(ие) тип(ы) как "параметры типа", используя квадратные скобки: `[` и `]` В Python версии 3.9 это будет выглядеть так: ```Python my_list: list[str] ``` В версиях Python до 3.9 это будет выглядеть так: ```Python from typing import List my_list: List[str] ``` Это всё стандартный синтаксис Python для объявления типов.
Registered: Mon Jun 17 08:32:26 UTC 2024 - Last Modified: Fri Mar 22 01:42:11 UTC 2024 - 14.9K bytes - Viewed (0) -
docs/en/docs/tutorial/body-nested-models.md
* Pass the internal type(s) as "type parameters" using square brackets: `[` and `]` In Python 3.9 it would be: ```Python my_list: list[str] ``` In versions of Python before 3.9, it would be: ```Python from typing import List my_list: List[str] ``` That's all standard Python syntax for type declarations. Use that same standard syntax for model attributes with internal types.
Registered: Mon Jun 17 08:32:26 UTC 2024 - Last Modified: Fri Mar 22 01:42:11 UTC 2024 - 9.5K bytes - Viewed (0) -
docs/pt/docs/tutorial/body-nested-models.md
* Importe os do modulo `typing` * Passe o(s) tipo(s) interno(s) como "parâmetros de tipo" usando colchetes: `[` e `]` ```Python from typing import List my_list: List[str] ``` Essa é a sintaxe padrão do Python para declarações de tipo. Use a mesma sintaxe padrão para atributos de modelo com tipos internos.
Registered: Mon Jun 17 08:32:26 UTC 2024 - Last Modified: Thu Apr 18 19:53:19 UTC 2024 - 7.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/g3doc/space_to_depth.md
kernel_initializer=tf.variance_scaling_initializer(), data_format=data_format) # Use the image size without space-to-depth transform as the input of conv0. batch_size, h, w, channel = inputs.get_shape().as_list() conv0.build([ batch_size, h * space_to_depth_block_size, w * space_to_depth_block_size, channel // (space_to_depth_block_size**2) ]) kernel = conv0.weights[0]
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Oct 24 02:51:43 UTC 2020 - 8.3K bytes - Viewed (0) -
docs/ko/docs/tutorial/body-nested-models.md
``` ### 타입 매개변수로 `List` 선언 `list`, `dict`, `tuple`과 같은 타입 매개변수(내부 타입)를 갖는 타입을 선언하려면: * `typing` 모듈에서 임포트 * 대괄호를 사용하여 "타입 매개변수"로 내부 타입 전달: `[` 및 `]` ```Python from typing import List my_list: List[str] ``` 이 모든 것은 타입 선언을 위한 표준 파이썬 문법입니다. 내부 타입을 갖는 모델 어트리뷰트에 대해 동일한 표준 문법을 사용하세요. 마찬가지로 예제에서 `tags`를 구체적으로 "문자열의 리스트"로 만들 수 있습니다: ```Python hl_lines="14"
Registered: Mon Jun 17 08:32:26 UTC 2024 - Last Modified: Wed Jun 12 12:49:35 UTC 2024 - 7.6K bytes - Viewed (0) -
docs/zh/docs/tutorial/body-nested-models.md
``` ### 声明具有子类型的 List 要声明具有子类型的类型,例如 `list`、`dict`、`tuple`: * 从 `typing` 模块导入它们 * 使用方括号 `[` 和 `]` 将子类型作为「类型参数」传入 ```Python from typing import List my_list: List[str] ``` 这完全是用于类型声明的标准 Python 语法。 对具有子类型的模型属性也使用相同的标准语法。 因此,在我们的示例中,我们可以将 `tags` 明确地指定为一个「字符串列表」: === "Python 3.10+" ```Python hl_lines="12"
Registered: Mon Jun 17 08:32:26 UTC 2024 - Last Modified: Fri Mar 22 01:42:11 UTC 2024 - 9.3K bytes - Viewed (0)