在我们的依赖项 `get_settings()` 的情况下，该函数甚至不接受任何参数，因此它始终返回相同的值。

这样，它的行为几乎就像是一个全局变量。但由于它使用了依赖项函数，我们可以在测试时很容易地覆盖它。

`@lru_cache` 是 `functools` 的一部分，它属于 Python 标准库。你可以在 [Python 文档中关于 `@lru_cache` 的章节](https://docs.python.org/3/library/functools.html#functools.lru_cache)阅读更多信息。

## 小结 { #recap }

你可以使用 Pydantic Settings 来处理应用的设置或配置，享受 Pydantic 模型的全部能力。

- 通过使用依赖项，你可以简化测试。
- 你可以与它一起使用 `.env` 文件。

// license that can be found in the LICENSE file.

// This wrapper uses syscall.Flock to prevent concurrent adb commands,
// so for now it only builds on platforms that support that system call.
// TODO(#33974): use a more portable library for file locking.

//go:build darwin || dragonfly || freebsd || illumos || linux || netbsd || openbsd

// This program can be used as go_android_GOARCH_exec by the Go tool.

container in the pod will run with the FSGroup as a supplemental group
  * Volumes that support SELinux labelling are now automatically relabeled with the
Pod’s SELinux context, if specified
  * A stable client library release\_1\_2 is added. The library is [here](pkg/client/clientset_generated/), and detailed doc is [here](docs/devel/generating-clientset.md#released-clientsets). We will keep the interface of this go client stable.

   * identically to this equivalence.
   *
   * <p><b>Warning: do not depend</b> on the behavior of this method.
   *
   * <p>Historically, {@code Equivalence} instances in this library have implemented this method to
   * recognize certain cases where distinct {@code Equivalence} instances would in fact behave
   * identically. However, as code migrates to {@code java.util.function}, that behavior will

semi-abstract instruction set and turn it into instructions to be
input to the linker.
If you want to see what the instructions look like in assembly for a given architecture, say amd64, there
are many examples in the sources of the standard library, in packages such as
<a href="/pkg/runtime/"><code>runtime</code></a> and
<a href="/pkg/math/big/"><code>math/big</code></a>.
You can also examine what the compiler emits as assembly code

        tf.Tensor` The `tf.ExtensionType` base class works similarly to
        [`typing.NamedTuple`](https://docs.python.org/3/library/typing.html#typing.NamedTuple)
        and
        [`@dataclasses.dataclass`](https://docs.python.org/3/library/dataclasses.html#dataclasses.dataclass)
        from the standard Python library.
    *   Extension types are supported by Keras, tf.data, TF-hub, SavedModel,

### Step 1: Ensure minimum requirements are met

MinIO requires Kafka version 0.10 or 0.9. Internally MinIO uses the [Shopify/sarama](https://github.com/Shopify/sarama/) library and so has the same version compatibility as provided by this library.

### Step 2: Add Kafka endpoint to MinIO

この方法は、ほとんどグローバル変数のように振る舞います。しかし、依存関数を使っているので、テストのために簡単にオーバーライドできます。

`@lru_cache` は Python 標準ライブラリの `functools` の一部です。詳細は [Python の `@lru_cache` ドキュメント](https://docs.python.org/3/library/functools.html#functools.lru_cache)を参照してください。

## まとめ { #recap }

Pydantic Settings を使うことで、アプリケーションの設定や構成を、Pydantic モデルの力を活かして扱えます。

* 依存関係を使うことで、テストを簡素化できます。
* `.env` ファイルを利用できます。

  /**
   * Invokes {@code consumer} for each value contained in this array, in order.
   *
   * @since 33.4.0 (but since 22.0 in the JRE flavor)
   */
  @IgnoreJRERequirement // We rely on users not to call this without library desugaring.
  public void forEach(LongConsumer consumer) {
    checkNotNull(consumer);
    for (int i = start; i < end; i++) {
      consumer.accept(array[i]);
    }
  }

  /**

            <option value="$PROJECT_DIR$/platforms/jvm/plugins-java" />
            <option value="$PROJECT_DIR$/platforms/jvm/plugins-java-base" />
            <option value="$PROJECT_DIR$/platforms/jvm/plugins-java-library" />
            <option value="$PROJECT_DIR$/platforms/jvm/plugins-jvm-test-fixtures" />
            <option value="$PROJECT_DIR$/platforms/jvm/plugins-jvm-test-suite" />