"path",
                "item_id"
            ],
            "msg": "value is not a valid integer",
            "type": "type_error.integer"
        }
    ]
}

```

被替换为了以下文本格式的错误信息：

```
1 validation error
path -> item_id
  value is not a valid integer (type=type_error.integer)

```

### `RequestValidationError` vs `ValidationError`

     *
     * @param <T> the target type to unwrap to
     * @param type the class of the target type
     * @return the referral adapted to type
     * @throws ClassCastException
     *             if the type is not valid for this object
     */
    <T extends DfsReferralData> T unwrap(Class<T> type);

    /**
     * Get the server this referral points to
     *
     * @return the server this referral points to
     */

    assert response.json() == {
        "detail": [
            {
                "type": "int_parsing",
                "loc": ["path", "item_id"],
                "msg": "Input should be a valid integer, unable to parse string as an integer",
                "input": "foo",
            }
        ]
    }


def test_openapi_schema(client: TestClient):
    response = client.get("/openapi.json")

  }

  companion object {
    /** Arbitrary code point that's 2 bytes in UTF-8 and valid in IdnaMappingTable.txt. */
    private const val UNICODE_2 = 0x1a5

    /** Arbitrary code point that's 3 bytes in UTF-8 and valid in IdnaMappingTable.txt. */
    private const val UNICODE_3 = 0x2202

    /** Arbitrary code point that's 4 bytes in UTF-8 and valid in IdnaMappingTable.txt. */
    private const val UNICODE_4 = 0x1d11e

    /**

            assertEquals(0, result);
        }
    }

    @Nested
    @DisplayName("readBytesWireFormat tests")
    class ReadBytesWireFormatTests {

        @Test
        @DisplayName("Should read valid structure with size 4")
        void testReadBytesWireFormatValid() throws SMBProtocolDecodingException {
            // Given
            byte[] buffer = new byte[10];
            int bufferIndex = 2;

    assert response.json() == {
        "detail": [
            {
                "type": "int_parsing",
                "loc": ["path", "item_id"],
                "msg": "Input should be a valid integer, unable to parse string as an integer",
                "input": "foo",
            }
        ]
    }


def test_get_http_error():
    response = client.get("/items/3")

@NullUnmarked
public class ServiceTest extends TestCase {

  /** Assert on the comparison ordering of the State enum since we guarantee it. */
  public void testStateOrdering() {
    // List every valid (direct) state transition.
    assertLessThan(NEW, STARTING);
    assertLessThan(NEW, TERMINATED);

    assertLessThan(STARTING, RUNNING);
    assertLessThan(STARTING, STOPPING);
    assertLessThan(STARTING, FAILED);

     *
     * @return the signing key or null if not available
     */
    byte[] getSigningKey();

    /**
     * Validates authentication credentials
     *
     * @return true if credentials are valid
     */
    boolean validateCredentials();

    /**
     * Clears sensitive authentication data
     */
    void clearSensitiveData();

    /**
     * Gets authentication metadata for auditing
     *

    * The generated schema will specify that it's a `str` with `binary` "format".
* `Decimal`:
    * Standard Python `Decimal`.
    * In requests and responses, handled the same as a `float`.
* You can check all the valid Pydantic data types here: <a href="https://docs.pydantic.dev/latest/usage/types/types/" class="external-link" target="_blank">Pydantic data types</a>.

## Example { #example }

    # insert_assert(response.json())
    assert response.json() == {
        "detail": [
            {
                "type": "string_type",
                "loc": ["tags", 3],
                "msg": "Input should be a valid string",
                "input": {"sneaky": "object"},
            }
        ]
    }


def test_openapi_schema(client: TestClient):
    response = client.get("/openapi.json")