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configure.py
write_action_env_to_bazelrc('TF_SYSTEM_LIBS', syslibs) for varname in ('PREFIX', 'PROTOBUF_INCLUDE_PATH'): if varname in environ_cp: write_to_bazelrc('build --define=%s=%s' % (varname, environ_cp[varname])) def set_windows_build_flags(environ_cp): """Set Windows specific build options.""" # First available in VS 16.4. Speeds up Windows compile times by a lot. See
Created: Tue Apr 07 12:39:13 GMT 2026 - Last Modified: Fri Dec 19 16:32:04 GMT 2025 - 48.3K bytes - Click Count (0) -
src/main/java/org/codelibs/fess/helper/IntervalControlHelper.java
public void setCrawlerRunning(final boolean crawlerRunning) { this.crawlerRunning = crawlerRunning; } /** * Represents a rule for controlling crawler intervals. * Each rule defines a time range, applicable days, and delay amount. */ public static class IntervalRule { /** Starting hour of the interval */ protected int fromHours;
Created: Tue Mar 31 13:07:34 GMT 2026 - Last Modified: Sun Nov 23 12:34:02 GMT 2025 - 10K bytes - Click Count (0) -
guava-tests/test/com/google/common/util/concurrent/JSR166TestCase.java
import java.util.concurrent.atomic.AtomicReference; import junit.framework.AssertionFailedError; import junit.framework.TestCase; import org.jspecify.annotations.NullUnmarked; /** * Base class for JSR166 Junit TCK tests. Defines some constants, utility methods and classes, as * well as a simple framework for helping to make sure that assertions failing in generated threads
Created: Fri Apr 03 12:43:13 GMT 2026 - Last Modified: Sat Mar 07 02:20:33 GMT 2026 - 8.8K bytes - Click Count (0) -
src/main/webapp/js/popper.min.js
/** * @popperjs/core v2.11.8 - MIT License */
Created: Tue Mar 31 13:07:34 GMT 2026 - Last Modified: Sun Jan 12 06:14:02 GMT 2025 - 19.7K bytes - Click Count (0) -
src/main/resources/fess_message_nl.properties
errors.app.double.submit.request = Dit verzoek is mogelijk al verwerkt. Probeer de bewerking opnieuw. # _/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/ # you can define your messages here: # e.g. # errors.xxx = ... # info.xxx = ... # _/_/_/_/_/_/_/_/_/_/ # ======================================================================================== # Fess # ======
Created: Tue Mar 31 13:07:34 GMT 2026 - Last Modified: Sat Mar 28 06:59:19 GMT 2026 - 12.9K bytes - Click Count (0) -
src/main/resources/fess_message_ru.properties
errors.app.double.submit.request = Возможно, он был обработан до этого запроса. Пожалуйста, попробуйте еще раз. # _/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/ # you can define your messages here: # e.g. # errors.xxx = ... # info.xxx = ... # _/_/_/_/_/_/_/_/_/_/ # ======================================================================================== # Fess # ======
Created: Tue Mar 31 13:07:34 GMT 2026 - Last Modified: Sat Mar 28 06:59:19 GMT 2026 - 17.2K bytes - Click Count (0) -
architecture/standards/0006-use-of-provider-apis-in-gradle.md
If the nested type is a managed type (Gradle can generate its implementation), you can define a nested property with: ``` interface NestedType { Property<String> getSomeProperty() } class Example { @Nested NestedType getNestedProperty() } ```
Created: Wed Apr 01 11:36:16 GMT 2026 - Last Modified: Thu Mar 05 12:39:41 GMT 2026 - 10K bytes - Click Count (0) -
docs/ko/docs/tutorial/body-nested-models.md
## 중첩 모델 { #nested-models } Pydantic 모델의 각 어트리뷰트는 타입을 갖습니다. 그런데 그 타입 자체가 또 다른 Pydantic 모델일 수 있습니다. 따라서 특정한 어트리뷰트 이름, 타입, 검증을 사용하여 깊게 중첩된 JSON "객체"를 선언할 수 있습니다. 모든 것이 임의의 깊이로 중첩됩니다. ### 서브모델 정의 { #define-a-submodel } 예를 들어, `Image` 모델을 정의할 수 있습니다: {* ../../docs_src/body_nested_models/tutorial004_py310.py hl[7:9] *} ### 서브모델을 타입으로 사용 { #use-the-submodel-as-a-type } 그리고 이를 어트리뷰트의 타입으로 사용할 수 있습니다:Created: Sun Apr 05 07:19:11 GMT 2026 - Last Modified: Fri Mar 20 14:06:26 GMT 2026 - 7.7K bytes - Click Count (0) -
docs/zh/docs/tutorial/body-nested-models.md
而且,每当你输出该数据时,即使源数据有重复,它们也将作为一组唯一项输出。 并且还会被相应地标注 / 记录文档。 ## 嵌套模型 { #nested-models } Pydantic 模型的每个属性都具有类型。 但是这个类型本身可以是另一个 Pydantic 模型。 因此,你可以声明拥有特定属性名称、类型和校验的深度嵌套的 JSON 对象。 上述这些都可以任意的嵌套。 ### 定义子模型 { #define-a-submodel } 例如,我们可以定义一个 `Image` 模型: {* ../../docs_src/body_nested_models/tutorial004_py310.py hl[7:9] *} ### 将子模型用作类型 { #use-the-submodel-as-a-type } 然后我们可以将其用作一个属性的类型:Created: Sun Apr 05 07:19:11 GMT 2026 - Last Modified: Fri Mar 20 17:06:37 GMT 2026 - 6.8K bytes - Click Count (0) -
docs/pt/docs/how-to/migrate-from-pydantic-v1-to-pydantic-v2.md
{* ../../docs_src/pydantic_v1_in_v2/tutorial003_an_py310.py hl[2:3,6,12,21:22] *} No exemplo acima, o modelo de entrada é um modelo Pydantic v1, e o modelo de saída (definido em `response_model=ItemV2`) é um modelo Pydantic v2. ### Parâmetros do Pydantic v1 { #pydantic-v1-parameters }Created: Sun Apr 05 07:19:11 GMT 2026 - Last Modified: Thu Mar 19 18:20:43 GMT 2026 - 5.8K bytes - Click Count (0)