Zum Beispiel bietet **FastAPI** selbst eine alternative API-Dokumentation (verwendet ReDoc), welche Sie unter <a href="http://127.0.0.1:8000/redoc" class="external-link" target="_blank">http://127.0.0.1:8000/redoc</a> einsehen können:

<img src="/img/tutorial/path-params/image02.png">

        }
    }

    /**
     * DuplicateMerger
     */
    protected static class DuplicateMerger extends MavenModelMerger {

        public void mergePlugin(Plugin target, Plugin source) {
            super.mergePlugin(target, source, false, Collections.emptyMap());
        }
    }

    @Override
    public void injectDefaultValues(Model model, ModelBuildingRequest request, ModelProblemCollector problems) {

Docker Hubは 多くのツールや環境、データベース、アプリケーションに対応している予め作成された**公式のコンテナ・イメージ**をパブリックに提供しています。

例えば、公式イメージの1つに<a href="https://hub.docker.com/_/python" class="external-link" target="_blank">Python Image</a>があります。

その他にも、データベースなどさまざまなイメージがあります：

* <a href="https://hub.docker.com/_/postgres" class="external-link" target="_blank">PostgreSQL</a>

            }
        }
    }

    protected void mergeToolchainModelConfiguration(ToolchainModel target, ToolchainModel source) {
        Xpp3Dom src = (Xpp3Dom) source.getConfiguration();
        if (src != null) {
            Xpp3Dom tgt = (Xpp3Dom) target.getConfiguration();
            if (tgt == null) {
                tgt = Xpp3Dom.mergeXpp3Dom(new Xpp3Dom(src), tgt);
            } else {

# START MACOS CROSS-COMPILE CONFIGS
common:cross_compile_macos_x86 --config=cross_compile_base
common:cross_compile_macos_x86 --config=nonccl
# Target Catalina (10.15) as the minimum supported OS
common:cross_compile_macos_x86 --action_env  MACOSX_DEPLOYMENT_TARGET=10.15

# Set the target CPU to Darwin x86
common:cross_compile_macos_x86 --platforms=//tensorflow/tools/toolchains/cross_compile/config:darwin_x86_64

		Help:      "Total number of bytes replicated to the target",
		Type:      counterMetric,
	}
}

func getRepSentOperationsMD(namespace MetricNamespace) MetricDescription {
	return MetricDescription{
		Namespace: namespace,
		Subsystem: replicationSubsystem,
		Name:      sentCount,
		Help:      "Total number of objects replicated to the target",
		Type:      gaugeMetric,
	}
}

* <a href="https://www.uvicorn.dev/" class="external-link" target="_blank">Uvicorn</a>: высокопроизводительный ASGI‑сервер.
* <a href="https://hypercorn.readthedocs.io/" class="external-link" target="_blank">Hypercorn</a>: ASGI‑сервер, среди прочего совместимый с HTTP/2 и Trio.
* <a href="https://github.com/django/daphne" class="external-link" target="_blank">Daphne</a>: ASGI‑сервер, созданный для Django Channels.

          <execution>
            <id>load</id>
            <phase>validate</phase>
            <configuration>
              <resourcePaths>maven-core-it.properties</resourcePaths>
              <pluginClassLoaderOutput>target/pcl.properties</pluginClassLoaderOutput>
            </configuration>
            <goals>
              <goal>load</goal>
            </goals>
          </execution>
        </executions>
      </plugin>

* <a href="https://www.stainless.com/?utm_source=fastapi&utm_medium=referral" class="external-link" target="_blank">Stainless</a>
* <a href="https://developers.liblab.com/tutorials/sdk-for-fastapi?utm_source=fastapi" class="external-link" target="_blank">liblab</a>

### Установка `pydantic-settings` { #install-pydantic-settings }

Сначала убедитесь, что вы создали [виртуальное окружение](../virtual-environments.md){.internal-link target=_blank}, активировали его, а затем установили пакет `pydantic-settings`:

<div class="termy">

```console