}

        @Test
        @DisplayName("Should handle multiple parameter updates")
        void testMultipleParameterUpdates() {
            // Initial setup
            request.setReadLength(1000);
            request.setOffset(500L);
            request.setMinimumCount(100);

            // Update parameters
            request.setReadLength(2000);
            request.setOffset(1000L);

   * Comparable} element.</b> Proper calls will resolve to the version in {@code
   * ImmutableSortedMultiset}, not this dummy version.
   *
   * @throws UnsupportedOperationException always
   * @deprecated <b>Pass the parameters of type {@code Comparable} to use {@link
   *     ImmutableSortedMultiset#of(Comparable, Comparable)}.</b>
   */
  @DoNotCall("Elements must be Comparable. (Or, pass a Comparator to orderedBy or copyOf.)")
  @Deprecated

    private static Boolean isCi;
    private static Integer defaultParallel;
    private static Boolean isSnapshotBuild;
    private static Provider<BwcVersions> bwcVersions;

    /**
     * Initialize global build parameters. This method accepts and a initialization function which in turn accepts a
     * {@link MutableBuildParams}. Initialization can be done in "stages", therefore changes override existing values, and values from

    /** OAuth2 state parameter name. */
    protected static final String STATE = "state";

    /** OAuth2 error parameter name. */
    protected static final String ERROR = "error";

    /** OAuth2 error description parameter name. */
    protected static final String ERROR_DESCRIPTION = "error_description";

    /** OAuth2 error URI parameter name. */

# Header 参数模型 { #header-parameter-models }

如果您有一组相关的 **header 参数**，您可以创建一个 **Pydantic 模型**来声明它们。

这将允许您在**多个地方**能够**重用模型**，并且可以一次性声明所有参数的验证和元数据。😎

/// note | 注意

自 FastAPI 版本 `0.115.0` 起支持此功能。🤓

///

## 使用 Pydantic 模型的 Header 参数 { #header-parameters-with-a-pydantic-model }

在 **Pydantic 模型**中声明所需的 **header 参数**，然后将参数声明为 `Header` :

{* ../../docs_src/header_param_models/tutorial001_an_py310.py hl[9:14,18] *}

# 標頭參數模型 { #header-parameter-models }

如果你有一組相關的標頭參數，可以建立一個 Pydantic 模型來宣告它們。

這能讓你在多處重複使用該模型，並一次性為所有參數宣告驗證與中繼資料。😎

/// note | 注意

自 FastAPI 版本 `0.115.0` 起支援。🤓

///

## 以 Pydantic 模型宣告標頭參數 { #header-parameters-with-a-pydantic-model }

在 Pydantic 模型中宣告你需要的標頭參數，然後將參數宣告為 `Header`：

{* ../../docs_src/header_param_models/tutorial001_an_py310.py hl[9:14,18] *}

FastAPI 會從請求的標頭為每個欄位擷取資料，並交給你已定義的 Pydantic 模型實例。

```

If you need to upgrade all of the packages in requirements lock file, just pass
the `--upgrade` parameter:

```
bazel run //ci/official/requirements_updater:requirements.update --repo_env=HERMETIC_PYTHON_VERSION=3.12 -- --upgrade
```

For the full set of supported parameters please check
[pip-compile](https://pip-tools.readthedocs.io/en/latest/cli/pip-compile/)

Prefer to set the entrypoint in `pyproject.toml` when possible.

## Use `Annotated`

Always prefer the `Annotated` style for parameter and dependency declarations.

It keeps the function signatures working in other contexts, respects the types, allows reusability.

### In Parameter Declarations

Use `Annotated` for parameter declarations, including `Path`, `Query`, `Header`, etc.:

```python
from typing import Annotated

   * that conversion is safe.
   *
   * <p>This method is intended to help with usages of type parameters that have {@linkplain
   * ParametricNullness parametric nullness}. If a type parameter instead ranges over only non-null
   * types (or if the type is a non-variable type, like {@code String}), then code should almost

   * that conversion is safe.
   *
   * <p>This method is intended to help with usages of type parameters that have {@linkplain
   * ParametricNullness parametric nullness}. If a type parameter instead ranges over only non-null
   * types (or if the type is a non-variable type, like {@code String}), then code should almost