确保你创建一个[虚拟环境](../virtual-environments.md)，激活它，然后再安装，例如：

```console
$ pip install python-multipart
```

///

/// note | 注意

自 FastAPI 版本 `0.113.0` 起支持此功能。🤓

///

## 表单的 Pydantic 模型 { #pydantic-models-for-forms }

你只需声明一个 **Pydantic 模型**，其中包含你希望接收的**表单字段**，然后将参数声明为 `Form`：

{* ../../docs_src/request_form_models/tutorial001_an_py310.py hl[9:11,15] *}

**FastAPI** 将从请求中的**表单数据**中**提取**出**每个字段**的数据，并提供你定义的 Pydantic 模型。

{* ../../docs_src/query_params_str_validations/tutorial004_an_py310.py hl[11] *}

This specific regular expression pattern checks that the received parameter value:

* `^`: starts with the following characters, doesn't have characters before.
* `fixedquery`: has the exact value `fixedquery`.
* `$`: ends there, doesn't have any more characters after `fixedquery`.

```console
$ pip install pytest

---> 100%
```

</div>

它會自動偵測檔案與測試、執行它們，並把結果回報給你。

用以下指令執行測試：

<div class="termy">

```console
$ pytest

================ test session starts ================
platform linux -- Python 3.6.9, pytest-5.3.5, py-1.8.1, pluggy-0.13.1
rootdir: /home/user/code/superawesome-cli/app
plugins: forked-1.1.3, xdist-1.31.0, cov-2.8.1
collected 6 items

---> 100%

```console
$ pip install pytest

---> 100%
```

</div>

他会自动检测文件和测试，执行测试，然后向你报告结果。

执行测试：

<div class="termy">

```console
$ pytest

================ test session starts ================
platform linux -- Python 3.6.9, pytest-5.3.5, py-1.8.1, pluggy-0.13.1
rootdir: /home/user/code/superawesome-cli/app
plugins: forked-1.1.3, xdist-1.31.0, cov-2.8.1
collected 6 items

---> 100%

    public void addFilter(final Filter filter) {
        filterList.add(filter);
        createFilterChain();
    }

    /**
     * Creates the filter chain from the registered filters.
     * The chain starts with the default filter chain and appends each registered filter.
     */
    protected void createFilterChain() {
        FilterChain chain = createDefaultFilterChain();
        for (final Filter element : filterList) {

            + positionFrac * (dataset[positionFloor + 1] - dataset[positionFloor]);
      }
    }
  },

  /**
   * Uses quickselect. When calculating multiple quantiles, each quickselect starts from scratch.
   */
  QUICKSELECT {

    @Override
    double singleQuantile(int index, int scale, double[] dataset) {
      long numerator = (long) index * (dataset.length - 1);

        }
    }

    /**
     * Updates the digest with the specified data.
     *
     * @param input the input buffer containing data to digest
     * @param offset the offset in the buffer where data starts
     * @param len the length of data to digest
     */
    public void update(final byte[] input, final int offset, final int len) {
        if (LogStream.level >= 5) {

  HashFunctionEnum hashFunctionEnum;

  private String[] strings;

  static final int SAMPLES = 0x100;
  static final int SAMPLE_MASK = 0xFF;

  /**
   * Compute arrays of valid unicode text, and store it in 3 forms: byte arrays, Strings, and
   * StringBuilders (in a CharSequence[] to make it a little harder for the JVM).
   */
  @BeforeExperiment
  void setUp() {
    long seed = 99;
    Random rnd = new Random(seed);

   * {@link Set}, instead of the {@link java.util.Collection} specified in the {@link Multimap}
   * interface.
   *
   * <p>Any duplicates in {@code values} will be stored in the multimap once.
   */
  @CanIgnoreReturnValue
  @Override
  Set<V> replaceValues(@ParametricNullness K key, Iterable<? extends V> values);

  /**
   * {@inheritDoc}
   *

   * {@link Set}, instead of the {@link java.util.Collection} specified in the {@link Multimap}
   * interface.
   *
   * <p>Any duplicates in {@code values} will be stored in the multimap once.
   */
  @CanIgnoreReturnValue
  @Override
  Set<V> replaceValues(@ParametricNullness K key, Iterable<? extends V> values);

  /**
   * {@inheritDoc}
   *