Shubhendu <******@****.***> 1726156740 +0530

@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;
    }

    /**

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.

    public void setPageNumberList(final List<String> pageNumberList) {
        this.pageNumberList = pageNumberList;
    }

    /**
     * Sets whether the results are partial due to timeout or other issues.
     *
     * @param partialResults true if results are partial
     */
    public void setPartialResults(final boolean partialResults) {
        this.partialResults = 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
    }

        d.readBytesWireFormat(buf, 0);

        // Flags should not be set for partial read
        assertFalse(d.getParametersDone(), "parametersDone should be false for partial read");
        assertFalse(d.getDataDone(), "dataDone should be false for partial read");
        assertTrue(d.getHasMore(), "hasMore should remain true for partial read");
    }

    /**
     * Test scenario with no data to read
     */

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()

### 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.
* Gerar um `dict` sem valores padrão a partir do modelo de entrada (usando `exclude_unset`).

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.