from typing import Any, Dict, List, Optional, Union, cast

from fastapi.exceptions import HTTPException
from fastapi.openapi.models import OAuth2 as OAuth2Model
from fastapi.openapi.models import OAuthFlows as OAuthFlowsModel
from fastapi.param_functions import Form
from fastapi.security.base import SecurityBase
from fastapi.security.utils import get_authorization_scheme_param
from starlette.requests import Request

platforms/core-configuration/kotlin-dsl-provider-plugins/   @gradle/bt-kotlin-dsl-maintainers
platforms/core-configuration/kotlin-dsl-tooling-builders/   @gradle/bt-kotlin-dsl-maintainers
platforms/core-configuration/kotlin-dsl-tooling-models/     @gradle/bt-kotlin-dsl-maintainers

# Core automation platform (Declarative DSL)
platforms/core-configuration/declarative-dsl-api/                   @gradle/bt-declarative-dsl

Vamos imaginar que o carregamento do modelo pode **demorar bastante tempo**, porque ele tem que ler muitos **dados do disco**. Então você não quer fazer isso a cada requisição.

```

/// warning | "Aviso"

Note que `Field` é importado diretamente do `pydantic`, não do `fastapi` como todo o resto (`Query`, `Path`, `Body`, etc).

///

## Declare atributos do modelo

Você pode então utilizar `Field` com atributos do modelo:

```Python hl_lines="11-14"
{!../../docs_src/body_fields/tutorial001.py!}
```

`Field` funciona da mesma forma que `Query`, `Path` e `Body`, ele possui todos os mesmos parâmetros, etc.

## Resources

*   [TensorFlow.org](https://www.tensorflow.org)
*   [TensorFlow Tutorials](https://www.tensorflow.org/tutorials/)
*   [TensorFlow Official Models](https://github.com/tensorflow/models/tree/master/official)
*   [TensorFlow Examples](https://github.com/tensorflow/examples)
*   [TensorFlow Codelabs](https://codelabs.developers.google.com/?cat=TensorFlow)

    }

    static Model transform(Model model, MavenProject project) {
        String packaging = model.getPackaging();
        if (POM_PACKAGING.equals(packaging)) {
            // raw to consumer transform
            model = model.withRoot(false).withModules(null).withSubprojects(null);
            if (model.getParent() != null) {
                model = model.withParent(model.getParent().withRelativePath(null));

import org.apache.maven.api.model.Model;
import org.apache.maven.api.model.ModelBase;
import org.apache.maven.api.model.Plugin;
import org.apache.maven.api.model.PluginContainer;
import org.apache.maven.api.model.PluginExecution;
import org.apache.maven.api.model.Profile;
import org.apache.maven.api.model.ReportPlugin;
import org.apache.maven.api.model.ReportSet;
import org.apache.maven.api.model.Reporting;

import jetbrains.buildServer.configs.kotlin.RelativeId
import model.CIBuildModel
import model.FlameGraphGeneration
import model.FunctionalTestBucketProvider
import model.GRADLE_BUILD_SMOKE_TEST_NAME
import model.PerformanceTestBucketProvider
import model.PerformanceTestCoverage
import model.SpecificBuild
import model.Stage
import model.StageName
import model.TestCoverage
import model.TestType

class StageProject(
    model: CIBuildModel,

        handleModelVersion(model);
        handleParent(pomFile, context, model);
        handleReactorDependencies(context, model);
        handleCiFriendlyVersion(context, model);
    }

    //
    // Infer modelVersion from namespace URI
    //
    void handleModelVersion(Model model) {
        String namespace = model.getDelegate().getNamespaceUri();

        org.apache.maven.api.model.Model model = read(path, null, null, options);
        return new org.apache.maven.model.Model(model);
    }

    @Override
    public org.apache.maven.model.Model read(InputStream input, Map<String, ?> options) throws IOException {
        Objects.requireNonNull(input, "input cannot be null");
        try (InputStream in = input) {
            org.apache.maven.api.model.Model model = read(null, in, null, options);