"rules": []
        },
        "swedish_stop": {
          "type":       "stop",

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     */
    @Test
    void testEncode() throws NdrException {
        // When
        ndrObject.encode(mockBuffer);

        // Then
        // Verify that our mock buffer had the expected method called.
        verify(mockBuffer).enc_ndr_long(123);
    }

    /**
     * Test case for the decode method.
     * Verifies that the decode method of a concrete implementation is called

La même chose s'applique pour :

* `gt` : `g`reater `t`han
* `le` : `l`ess than or `e`qual

{* ../../docs_src/path_params_numeric_validations/tutorial004_an_py39.py hl[10] *}

## Validations numériques : supérieur et inférieur ou égal

La même chose s'applique pour :

* `gt` : `g`reater `t`han
* `le` : `l`ess than or `e`qual

Також можна оголошувати числові перевірки:

* `gt`: `g`reater `t`han (більше ніж)
* `ge`: `g`reater than or `e`qual (більше або дорівнює)
* `lt`: `l`ess `t`han (менше ніж)
* `le`: `l`ess than or `e`qual (менше або дорівнює)

/// info | Інформація

And you can also declare numeric validations:

* `gt`: `g`reater `t`han
* `ge`: `g`reater than or `e`qual
* `lt`: `l`ess `t`han
* `le`: `l`ess than or `e`qual

/// info

`Query`, `Path`, and other classes you will see later are subclasses of a common `Param` class.

А также вы можете добавить валидацию числовых данных:

* `gt`: больше (`g`reater `t`han)
* `ge`: больше или равно (`g`reater than or `e`qual)
* `lt`: меньше (`l`ess `t`han)
* `le`: меньше или равно (`l`ess than or `e`qual)

/// info | Информация

## 总结

你能够以与 [查询参数和字符串校验](query-params-str-validations.md){.internal-link target=_blank} 相同的方式使用 `Query`、`Path`（以及其他你还没见过的类）声明元数据和字符串校验。

而且你还可以声明数值校验：

* `gt`：大于（`g`reater `t`han）
* `ge`：大于等于（`g`reater than or `e`qual）
* `lt`：小于（`l`ess `t`han）
* `le`：小于等于（`l`ess than or `e`qual）

/// info

`Query`、`Path` 以及你后面会看到的其他类继承自一个共同的 `Param` 类（不需要直接使用它）。

而且它们都共享相同的所有你已看到并用于添加额外校验和元数据的参数。

///

/// note | 技术细节

# Migrate from Pydantic v1 to Pydantic v2 { #migrate-from-pydantic-v1-to-pydantic-v2 }

If you have an old FastAPI app, you might be using Pydantic version 1.

FastAPI version 0.100.0 had support for either Pydantic v1 or v2. It would use whichever you had installed.

FastAPI version 0.119.0 introduced partial support for Pydantic v1 from inside of Pydantic v2 (as `pydantic.v1`), to facilitate the migration to v2.