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compat/maven-model-builder/src/main/java/org/apache/maven/model/composition/DefaultDependencyManagementImporter.java
import org.apache.maven.model.Model; import org.apache.maven.model.building.ModelBuildingRequest; import org.apache.maven.model.building.ModelProblemCollector; /** * Handles the import of dependency management from other models into the target model. * * @deprecated use {@code org.apache.maven.api.services.ModelBuilder} instead */ @Named @Singleton @Deprecated(since = "4.0.0")Created: Sun Dec 28 03:35:09 GMT 2025 - Last Modified: Tue Feb 25 08:27:34 GMT 2025 - 2.8K bytes - Click Count (0) -
tests/test_openapi_schema_type.py
from typing import Optional, Union import pytest from fastapi.openapi.models import Schema, SchemaType @pytest.mark.parametrize( "type_value", [ "array", ["string", "null"], None, ], ) def test_allowed_schema_type( type_value: Optional[Union[SchemaType, list[SchemaType]]], ) -> None: """Test that Schema accepts SchemaType, List[SchemaType] and None for type field."""
Created: Sun Dec 28 07:19:09 GMT 2025 - Last Modified: Wed Dec 17 21:25:59 GMT 2025 - 730 bytes - Click Count (0) -
docs/de/docs/how-to/separate-openapi-schemas.md
Sehen wir uns an, wie das funktioniert und wie Sie es bei Bedarf ändern können. ## Pydantic-Modelle für Eingabe und Ausgabe { #pydantic-models-for-input-and-output } Nehmen wir an, Sie haben ein Pydantic-Modell mit Defaultwerten wie dieses: {* ../../docs_src/separate_openapi_schemas/tutorial001_py310.py ln[1:7] hl[7] *}Created: Sun Dec 28 07:19:09 GMT 2025 - Last Modified: Wed Dec 24 10:28:19 GMT 2025 - 5.2K bytes - Click Count (0) -
impl/maven-core/src/test/java/org/apache/maven/project/DefaultProjectBuilderTest.java
projectId, "Should extract project ID from fileModel when effectiveModel and rawModel are null"); } /** * Test extractProjectId returns empty string when all models are null. */ @Test void testExtractProjectIdAllModelsNull() throws Exception { Method extractProjectIdMethod =Created: Sun Dec 28 03:35:09 GMT 2025 - Last Modified: Tue Nov 18 17:20:31 GMT 2025 - 7.5K bytes - Click Count (0) -
.teamcity/subprojects.json
"unitTests": false, "functionalTests": false, "crossVersionTests": true }, { "name": "declarative-dsl-tooling-models", "path": "platforms/core-configuration/declarative-dsl-tooling-models", "unitTests": false, "functionalTests": false, "crossVersionTests": false }, { "name": "dependency-management",
Created: Wed Dec 31 11:36:14 GMT 2025 - Last Modified: Thu Dec 18 18:40:11 GMT 2025 - 37.5K bytes - Click Count (0) -
compat/maven-model-builder/src/main/java/org/apache/maven/model/composition/DependencyManagementImporter.java
import org.apache.maven.model.Model; import org.apache.maven.model.building.ModelBuildingRequest; import org.apache.maven.model.building.ModelProblemCollector; /** * Handles the import of dependency management from other models into the target model. * * @deprecated use {@code org.apache.maven.api.services.ModelBuilder} instead */ @Deprecated(since = "4.0.0") public interface DependencyManagementImporter { /**Created: Sun Dec 28 03:35:09 GMT 2025 - Last Modified: Tue Feb 25 08:27:34 GMT 2025 - 2K bytes - Click Count (0) -
impl/maven-cli/pom.xml
Created: Sun Dec 28 03:35:09 GMT 2025 - Last Modified: Tue Nov 18 18:03:26 GMT 2025 - 10.2K bytes - Click Count (0) -
docs/en/docs/advanced/path-operation-advanced-configuration.md
You probably have seen how to declare the `response_model` and `status_code` for a *path operation*. That defines the metadata about the main response of a *path operation*. You can also declare additional responses with their models, status codes, etc. There's a whole chapter here in the documentation about it, you can read it at [Additional Responses in OpenAPI](additional-responses.md){.internal-link target=_blank}. ## OpenAPI Extra { #openapi-extra }
Created: Sun Dec 28 07:19:09 GMT 2025 - Last Modified: Sat Dec 20 15:55:38 GMT 2025 - 7.2K bytes - Click Count (0) -
docs/en/docs/advanced/settings.md
Import `BaseSettings` from Pydantic and create a sub-class, very much like with a Pydantic model. The same way as with Pydantic models, you declare class attributes with type annotations, and possibly default values. You can use all the same validation features and tools you use for Pydantic models, like different data types and additional validations with `Field()`. {* ../../docs_src/settings/tutorial001_py39.py hl[2,5:8,11] *} /// tipCreated: Sun Dec 28 07:19:09 GMT 2025 - Last Modified: Sat Dec 20 15:55:38 GMT 2025 - 11.2K bytes - Click Count (0) -
scripts/playwright/header_param_models/image01.py
page.get_by_role("button", name="GET /items/ Read Items").click() page.get_by_role("button", name="Try it out").click() # Manually add the screenshot page.screenshot(path="docs/en/docs/img/tutorial/header-param-models/image01.png") # --------------------- context.close() browser.close() process = subprocess.Popen( ["fastapi", "run", "docs_src/header_param_models/tutorial001.py"] ) try:
Created: Sun Dec 28 07:19:09 GMT 2025 - Last Modified: Tue Sep 17 18:54:10 GMT 2024 - 1.1K bytes - Click Count (0)