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platforms/core-configuration/configuration-cache/src/integTest/groovy/org/gradle/internal/cc/impl/isolated/IsolatedProjectsToolingApiBuildActionIntegrationTest.groovy
} outputContains("creating model for root project 'root'") outputContains("creating model for project ':a'") when: executer.withArguments(ENABLE_CLI) def model2 = runBuildAction(new FetchCustomModelForEachProject()) then: model2.size() == 2 model2[0].message == "It works from project :" model2[1].message == "It works from project :a" and:
Registered: Wed Jun 12 18:38:38 UTC 2024 - Last Modified: Sat Jun 08 11:29:25 UTC 2024 - 18.5K bytes - Viewed (0) -
platforms/core-configuration/configuration-cache/src/integTest/groovy/org/gradle/internal/cc/impl/isolated/IsolatedProjectsToolingModelsWithDependencyResolutionIntegrationTest.groovy
when: executer.withArguments(ENABLE_CLI) def model2 = runBuildAction(new FetchCustomModelForEachProject()) then: model2.size() == 4 model2[0].message == "project :a classpath = 2" model2[1].message == "project :b classpath = 1" model2[2].message == "project :c classpath = 0" model2[3].message == "project :d classpath = 0" and:
Registered: Wed Jun 12 18:38:38 UTC 2024 - Last Modified: Sat Jun 08 11:29:25 UTC 2024 - 19.7K bytes - Viewed (0) -
platforms/core-configuration/configuration-cache/src/integTest/groovy/org/gradle/internal/cc/impl/isolated/IsolatedProjectsToolingApiCoupledProjectsIntegrationTest.groovy
} when: executer.withArguments(ENABLE_CLI) def model2 = runBuildAction(new FetchCustomModelForEachProject()) then: model2.size() == 3 model2[0].message == "project a" model2[1].message == "project b" model2[2].message == "It works from project :c" and: fixture.assertStateLoaded() when:
Registered: Wed Jun 12 18:38:38 UTC 2024 - Last Modified: Sat Jun 08 11:29:25 UTC 2024 - 12.4K bytes - Viewed (0) -
platforms/core-configuration/configuration-cache/src/integTest/groovy/org/gradle/internal/cc/impl/isolated/IsolatedProjectsToolingApiModelQueryIntegrationTest.groovy
when: executer.withArguments(ENABLE_CLI) def model2 = fetchModel(GradleBuild) then: model2.rootProject.name == "root" model2.projects.size() == 3 model2.projects[0].name == "root" model2.projects[1].name == "a" model2.projects[2].name == "b" and: fixture.assertStateLoaded()
Registered: Wed Jun 12 18:38:38 UTC 2024 - Last Modified: Sat Jun 08 11:29:25 UTC 2024 - 10.5K bytes - Viewed (0) -
platforms/core-configuration/configuration-cache/src/integTest/groovy/org/gradle/internal/cc/impl/isolated/IsolatedProjectsToolingApiParallelConfigurationIntegrationTest.groovy
server.expectConcurrent("model-a", "model-b") executer.withArguments(ENABLE_CLI) def model3 = runBuildAction(new FetchCustomModelForEachProjectInParallel()) then: model3.size() == 3 model3[0].message == "It works from project :" model3[1].message == "this is project a" model3[2].message == "this is project b" and:
Registered: Wed Jun 12 18:38:38 UTC 2024 - Last Modified: Sat Jun 08 11:29:25 UTC 2024 - 10.6K bytes - Viewed (0) -
platforms/core-configuration/configuration-cache/src/integTest/groovy/org/gradle/internal/cc/impl/isolated/IsolatedProjectsToolingApiPhasedBuildActionIntegrationTest.groovy
def model2 = models2.right model2.size() == 2 model2[0].message == "It works from project :" model2[1].message == "It works from project :a" and: fixture.assertStateLoaded() outputDoesNotContain("creating model") } def "caches execution of phased BuildAction that queries custom tooling model and that runs tasks"() { given:
Registered: Wed Jun 12 18:38:38 UTC 2024 - Last Modified: Sat Jun 08 11:29:25 UTC 2024 - 10.4K bytes - Viewed (0) -
docs/de/docs/tutorial/body-nested-models.md
Und es wird entsprechend annotiert/dokumentiert. ## Verschachtelte Modelle Jedes Attribut eines Pydantic-Modells hat einen Typ. Aber dieser Typ kann selbst ein anderes Pydantic-Modell sein. Sie können also tief verschachtelte JSON-„Objekte“ deklarieren, mit spezifischen Attributnamen, -typen, und -validierungen.
Registered: Mon Jun 17 08:32:26 UTC 2024 - Last Modified: Fri Mar 22 01:42:11 UTC 2024 - 10.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/quantization/lite/quantize_weights_test.cc
model_ = input_model_->GetModel(); } std::unique_ptr<FlatBufferModel> input_model_; const Model* model_; bool IsModelInputOrOutput(const Model* model, uint32_t tensor_idx) { for (size_t subgraph_idx = 0; subgraph_idx < model_->subgraphs()->size(); ++subgraph_idx) { const auto subgraph = model->subgraphs()->Get(subgraph_idx);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 12 23:15:24 UTC 2024 - 32.3K bytes - Viewed (0) -
docs/ru/docs/tutorial/body-nested-models.md
``` ## Универсальная поддержка редактора И вы получаете поддержку редактора везде. Даже для элементов внутри списков: <img src="/img/tutorial/body-nested-models/image01.png"> Вы не могли бы получить такую поддержку редактора, если бы работали напрямую с `dict`, а не с моделями Pydantic.
Registered: Mon Jun 17 08:32:26 UTC 2024 - Last Modified: Fri Mar 22 01:42:11 UTC 2024 - 14.9K bytes - Viewed (0) -
fastapi/openapi/models.py
Paul <******@****.***> 1713480573 -0400
Registered: Mon Jun 17 08:32:26 UTC 2024 - Last Modified: Thu Apr 18 22:49:33 UTC 2024 - 15K bytes - Viewed (0)