@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:

import java.lang.annotation.ElementType;
import java.lang.annotation.Retention;
import java.lang.annotation.RetentionPolicy;
import java.lang.annotation.Target;

/**
 * Outer class that exists solely to let us write {@code Partially.GwtIncompatible} instead of plain
 * {@code GwtIncompatible}. This is more accurate for {@link Futures#catching}, which is available
 * under GWT but with a slightly different signature.
 *

import java.lang.annotation.ElementType;
import java.lang.annotation.Retention;
import java.lang.annotation.RetentionPolicy;
import java.lang.annotation.Target;

/**
 * Outer class that exists solely to let us write {@code Partially.GwtIncompatible} instead of plain
 * {@code GwtIncompatible}. This is more accurate for {@link Futures#catching}, which is available
 * under GWT but with a slightly different signature.
 *

///

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"),

     */
    public long getQueryTime() {
        return queryTime;
    }

    /**
     * Checks whether the search results are partial due to timeout or other constraints.
     *
     * @return true if the results are partial, false if complete
     */
    public boolean isPartialResults() {
        return partialResults;
    }

    /**

        String result = Hexdump.toHexString(data);
        assertEquals(2048, result.length()); // 1024 bytes * 2 chars

        // Test partial conversion
        String partial = Hexdump.toHexString(data, 512, 256);
        assertEquals(512, partial.length()); // 256 bytes * 2 chars
        assertTrue(partial.startsWith("00010203")); // 512 % 256 = 0, so starts at 0
    }

from functools import partial
from typing import Optional

from fastapi import FastAPI
from fastapi.testclient import TestClient


def main(some_arg, q: Optional[str] = None):
    return {"some_arg": some_arg, "q": q}


endpoint = partial(main, "foo")

app = FastAPI()

app.get("/")(endpoint)


client = TestClient(app)


def test_partial():
    response = client.get("/?q=bar")
    data = response.json()