@lru_cache
def get_mkdocs_material_langs() -> list[str]:
    material_path = Path(material.__file__).parent
    material_langs_path = material_path / "templates" / "partials" / "languages"
    langs = [file.stem for file in material_langs_path.glob("*.html")]
    return langs


class EnFile(File):
    pass


def on_config(config: MkDocsConfig, **kwargs: Any) -> MkDocsConfig:

///

Como `stored_item_model.model_copy(update=update_data)`:

{* ../../docs_src/body_updates/tutorial002_py310.py hl[33] *}

### Resumen de actualizaciones parciales { #partial-updates-recap }

En resumen, para aplicar actualizaciones parciales deberías:

* (Opcionalmente) usar `PATCH` en lugar de `PUT`.
* Recuperar los datos almacenados.
* Poner esos datos en un modelo de Pydantic.

///

Como `stored_item_model.model_copy(update=update_data)`:

{* ../../docs_src/body_updates/tutorial002_py310.py hl[33] *}

### Recapitulando as atualizações parciais { #partial-updates-recap }

Resumindo, para aplicar atualizações parciais você pode:

* (Opcionalmente) usar `PATCH` em vez de `PUT`.
* Recuperar os dados armazenados.
* Colocar esses dados em um modelo do Pydantic.

Like `stored_item_model.model_copy(update=update_data)`:

{* ../../docs_src/body_updates/tutorial002_py310.py hl[33] *}

### Partial updates recap { #partial-updates-recap }

In summary, to apply partial updates you would:

* (Optionally) use `PATCH` instead of `PUT`.
* Retrieve the stored data.
* Put that data in a Pydantic model.

@pytest.mark.parametrize(
    "route,value",
    [
        ("/partial-function-dependency", "partial-function-dependency"),
        (
            "/partial-async-function-dependency",
            "partial-async-function-dependency",
        ),
        ("/partial-gen-dependency", "partial-gen-dependency"),
        ("/partial-async-gen-dependency", "partial-async-gen-dependency"),
        ("/partial-callable-dependency", "partial-callable-dependency"),

Und die Daten würden mit diesem „neuen“ `tax` von `10.5` gespeichert werden.

## Teil-Aktualisierungen mit `PATCH` { #partial-updates-with-patch }

Sie können auch die <a href="https://developer.mozilla.org/en-US/docs/Web/HTTP/Methods/PATCH" class="external-link" target="_blank">HTTP `PATCH`</a> Operation verwenden, um Daten *teilweise* zu ersetzen.

поскольку оно не включает уже сохраненный атрибут `"tax": 20.2`, входная модель примет значение по умолчанию `"tax": 10.5`.

И данные будут сохранены с этим "новым" `tax`, равным `10,5`.

## Частичное обновление с помощью `PATCH` { #partial-updates-with-patch }

Также можно использовать <a href="https://developer.mozilla.org/en-US/docs/Web/HTTP/Methods/PATCH" class="external-link" target="_blank">HTTP `PATCH`</a> операцию для *частичного* обновления данных.

- ✅ Whitespace and empty string handling

---

### 3. ArchiveExtractorErrorHandlingTest.java
**Purpose**: Test improved error handling in archive extractors.

**Key Test Areas**:
- Enhanced error messages
- Partial extraction (continues on failure)
- Invalid archive handling
- Empty archive handling
- Mixed valid/invalid entries

**Covered Extractors**:
- ZipExtractor
- TarExtractor

**Test Count**: 12 tests

import inspect
import sys
from dataclasses import dataclass, field
from functools import cached_property, partial
from typing import Any, Callable, Optional, Union

from fastapi._compat import ModelField
from fastapi.security.base import SecurityBase
from fastapi.types import DependencyCacheKey
from typing_extensions import Literal

if sys.version_info >= (3, 13):  # pragma: no cover
    from inspect import iscoroutinefunction

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.

FastAPI 0.126.0 dropped support for Pydantic v1, while still supporting `pydantic.v1` for a little while.

/// warning