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

eine Textversion:

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

#### `RequestValidationError` vs. `ValidationError`

```

#### *Enumeration Değerini* Edinelim

`model_name.value` veya genel olarak `your_enum_member.value` tanımlarını kullanarak (bu durumda bir `str` olan) gerçek değere ulaşabilirsiniz:

```Python hl_lines="20"
{!../../../docs_src/path_params/tutorial005.py!}
```

!!! tip "İpucu"
    `"lenet"` değerine `ModelName.lenet.value` tanımı ile de ulaşabilirsiniz.

#### *Enumeration Üyelerini* Döndürelim

    return _annotation_is_sequence(annotation) or _annotation_is_sequence(
        get_origin(annotation)
    )


def value_is_sequence(value: Any) -> bool:
    return isinstance(value, sequence_types) and not isinstance(value, (str, bytes))  # type: ignore[arg-type]


def _annotation_is_complex(annotation: Union[Type[Any], None]) -> bool:
    return (

    If not provided, it's `None` by default, here we provide `"World"` as the default value to use.

Then you could call that Python program:

<div class="termy">

```console
// Here we don't set the env var yet
$ python main.py

// As we didn't set the env var, we get the default value

Hello World from Python

            }
        )
        # TODO: remove when deprecating Pydantic v1
        | IsDict(
            {
                "ctx": {"limit_value": 1},
                "loc": ["query", "foo"],
                "msg": "ensure this value has at least 1 characters",
                "type": "value_error.any_str.min_length",
            }
        )
    ]
}


@pytest.mark.parametrize(
    "path,expected_status,expected_response",

            return str(v)

        @classmethod
        def _validate(cls, __input_value: Any, _: Any) -> str:
            logger.warning(
                "email-validator not installed, email fields will be treated as str.\n"
                "To install, run: pip install email-validator"
            )
            return str(__input_value)

        @classmethod
        def __get_pydantic_json_schema__(

    ```Python hl_lines="12"
    {!> ../../../docs_src/request_files/tutorial001.py!}
    ```

Using `UploadFile` has several advantages over `bytes`:

* You don't have to use `File()` in the default value of the parameter.
* It uses a "spooled" file:
    * A file stored in memory up to a maximum size limit, and after passing this limit it will be stored in disk.

    {!> ../../../docs_src/sql_databases/sql_app/schemas.py!}
    ```

!!! tip
    Notice it's assigning a value with `=`, like:

    `orm_mode = True`

    It doesn't use `:` as for the type declarations before.

    This is setting a config value, not declaring a type.

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

вы получите текстовую версию:

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

#### `RequestValidationError` или `ValidationError`

Jedes spezifische Beispiel-`dict` in den `examples` kann Folgendes enthalten:

* `summary`: Kurze Beschreibung für das Beispiel.
* `description`: Eine lange Beschreibung, die Markdown-Text enthalten kann.
* `value`: Dies ist das tatsächlich angezeigte Beispiel, z. B. ein `dict`.