"properties": {
                            "errors": {
                                "title": "Errors",
                                "type": "array",
                                "items": {"$ref": "#/components/schemas/Error"},
                            }
                        },
                    },
                }
            },
        }

Kısmi güncellemeler almak istiyorsanız, Pydantic modelinin `.model_dump()` metodundaki `exclude_unset` parametresini kullanmak çok faydalıdır.

Örneğin: `item.model_dump(exclude_unset=True)`.

Bu, `item` modeli oluşturulurken set edilmiş verileri içeren; varsayılan değerleri hariç tutan bir `dict` üretir.

  $zulu_root = \"c:\\openjdk\"; \
  (New-Object Net.WebClient).DownloadFile($zulu_url, $zulu_zip); \
  [System.IO.Compression.ZipFile]::ExtractToDirectory($zulu_zip, \"c:\\temp\"); \
  Move-Item $zulu_extracted_path -Destination $zulu_root; \
  Remove-Item $zulu_zip; \
  $env:PATH = [Environment]::GetEnvironmentVariable(\"PATH\", \"Machine\") + \";${zulu_root}\\bin\"; \
  [Environment]::SetEnvironmentVariable(\"PATH\", $env:PATH, \"Machine\"); \

    private List<String> getDayItems() {
        final List<String> items = new ArrayList<>();
        for (int i = 0; i < 32; i++) {
            items.add(Integer.toString(i));
        }
        for (int i = 40; i < 370; i += 10) {
            items.add(Integer.toString(i));
        }
        items.add(Integer.toString(365));
        return items;
    }

    private boolean isRagSectionVisible() {

                                "detail": {
                                    "title": "Detail",
                                    "type": "array",
                                    "items": {
                                        "$ref": "#/components/schemas/ValidationError"
                                    },
                                }
                            },
                        },

}

func getIAMConfig(item any, data []byte, itemPath string) error {
	data, err := decryptData(data, itemPath)
	if err != nil {
		return err
	}
	json := jsoniter.ConfigCompatibleWithStandardLibrary
	return json.Unmarshal(data, item)
}

func (ies *IAMEtcdStore) loadIAMConfig(ctx context.Context, item any, path string) error {
	data, err := readKeyEtcd(ctx, ies.client, path)

* Ihnen die erhaltenen Daten im Parameter `item` übergeben.
    * Da Sie ihn in der Funktion als vom Typ `Item` deklariert haben, erhalten Sie auch die volle Unterstützung des Editors (Autovervollständigung, usw.) für alle Attribute und deren Typen.

## Example

```python
from fastapi import FastAPI, status

app = FastAPI()


@app.get("/items/", status_code=status.HTTP_418_IM_A_TEAPOT)
def read_items():
    return [{"name": "Plumbus"}, {"name": "Portal Gun"}]
```

                                "content": {
                                    "application/json": {
                                        "schema": {
                                            "items": {},
                                            "type": "array",
                                            "title": "Response Get People  Get",
                                        }
                                    }

        else:
            return deepcopy(field.default), []
    return field.validate(value, values, loc=loc)


def _is_json_field(field: ModelField) -> bool:
    return any(type(item) is Json for item in field.field_info.metadata)


def _get_multidict_value(
    field: ModelField, values: Mapping[str, Any], alias: str | None = None
) -> Any:
    alias = alias or get_validation_alias(field)
    if (