id("${asDocsTestId(model, os)}_Trigger")
        name = docsTestProject.name + " (Trigger)"
        type = Type.COMPOSITE

        applyDefaultSettings()

        dependencies {
            snapshotDependencies(docsTestProject.docsTests)
        }
    })

enum class DocsTestType(
    val ccEnabled: Boolean,
    val docsTestName: String,
    val docsTestDesc: String,
) {

package org.apache.maven.api.di;

import java.lang.annotation.Documented;
import java.lang.annotation.Retention;

import static java.lang.annotation.RetentionPolicy.RUNTIME;

/**
 * Provides a unique identifier for dependencies when multiple implementations
 * of the same type are available.
 * <p>
 * This annotation can be used in conjunction with {@link Inject} to specify
 * which implementation should be injected when multiple candidates exist.

register_toolchains("@rules_ml_toolchain//cc:linux_aarch64_linux_aarch64")

register_toolchains("@rules_ml_toolchain//cc:linux_aarch64_linux_aarch64_cuda")

# Initialize the TensorFlow repository and all dependencies.
#
# The cascade of load() statements and tf_workspace?() calls works around the
# restriction that load() statements need to be at the top of .bzl files.

			</plugin>
			<plugin>
				<groupId>net.revelc.code.formatter</groupId>
				<artifactId>formatter-maven-plugin</artifactId>
			</plugin>
		</plugins>
	</build>
	<dependencies>
		<dependency>
			<groupId>org.codelibs</groupId>
			<artifactId>corelib</artifactId>
			<version>${corelib.version}</version>
		</dependency>
		<dependency>
			<groupId>commons-codec</groupId>

        }
        return getBasedir().resolve(dir);
    }

    /**
     * {@return the project direct dependencies (directly specified or inherited)}.
     */
    @Nonnull
    List<DependencyCoordinates> getDependencies();

    /**
     * {@return the project managed dependencies (directly specified or inherited)}.
     */
    @Nonnull
    List<DependencyCoordinates> getManagedDependencies();

If you want to secure your API, there are several better things you can do, for example:

* Make sure you have well defined Pydantic models for your request bodies and responses.
* Configure any required permissions and roles using dependencies.
* Never store plaintext passwords, only password hashes.
* Implement and use well-known cryptographic tools, like pwdlib and JWT tokens, etc.
* Add more granular permission controls with OAuth2 scopes where needed.
* ...etc.

Um mehr darüber zu erfahren, siehe den Abschnitt [Benchmarks](https://fastapi.tiangolo.com/de/benchmarks/).

## Abhängigkeiten { #dependencies }

FastAPI hängt von Pydantic und Starlette ab.

### `standard`-Abhängigkeiten { #standard-dependencies }

Wenn Sie FastAPI mit `pip install "fastapi[standard]"` installieren, kommt es mit der `standard`-Gruppe optionaler Abhängigkeiten:

Verwendet von Pydantic:

Чтобы узнать больше, см. раздел [Бенчмарки](https://fastapi.tiangolo.com/ru/benchmarks/).

## Зависимости { #dependencies }

FastAPI зависит от Pydantic и Starlette.

### Зависимости `standard` { #standard-dependencies }

Когда вы устанавливаете FastAPI с помощью `pip install "fastapi[standard]"`, он идёт с группой опциональных зависимостей `standard`:

Используется Pydantic:

    @get:Input
    abstract val nullawayEnabled: Property<Boolean>

    // TODO(https://github.com/gradle/gradle/issues/27582): We cannot use a SetProperty<ResolvedArtifactResult> because some projects
    //  have no task dependencies and thus are non-CC serializable.
    @get:Input
    abstract val nullawayAwareDeps: Property<ArtifactCollection>

    init {

<dependency>
  <groupId>com.google.guava</groupId>
  <artifactId>guava-testlib</artifactId>
  <version>33.5.0-jre</version>
  <scope>test</scope>
</dependency>
```

To add a dependency using Gradle:

```gradle
dependencies {
  test 'com.google.guava:guava-testlib:33.5.0-jre'
}
```

## Links

-   [GitHub project](https://github.com/google/guava)