///

```Python
commons: CommonQueryParams ...
```

////

...doesn't have any special meaning for **FastAPI**. FastAPI won't use it for data conversion, validation, etc. (as it is using the `Depends(CommonQueryParams)` for that).

You could actually write just:

//// tab | Python 3.8+

```Python
commons: Annotated[Any, Depends(CommonQueryParams)]
```

                    "schema": {
                        "$ref": "#/components/schemas/Item"
                    }
                }
            }
        },
        "422": {
            "description": "Validation Error",
            "content": {
                "application/json": {
                    "schema": {
                        "$ref": "#/components/schemas/HTTPValidationError"
                    }
                }

	}
	if len(gcsObjects) > 0 {
		return true, nil
	}
	return false, nil
}

func newWarmBackendGCS(conf madmin.TierGCS, tier string) (*warmBackendGCS, error) {
	// Validation code
	if conf.Creds == "" {
		return nil, errors.New("empty credentials unsupported")
	}

	if conf.Bucket == "" {
		return nil, errors.New("no bucket name was provided")
	}

* Support de l'éditeur : vérification d'erreurs, auto-complétion, etc.
* <abbr title="conversion de la chaîne de caractères venant de la requête HTTP en données Python">"Parsing"</abbr> de données.
* Validation de données.
* Annotations d'API et documentation automatique.

## Valeurs par défaut

Les paramètres de requête ne sont pas une partie fixe d'un chemin, ils peuvent être optionnels et avoir des valeurs par défaut.

type contentLengthRange struct {
	Min   int64
	Max   int64
	Valid bool // If content-length-range was part of policy
}

// PostPolicyForm provides strict static type conversion and validation for Amazon S3's POST policy JSON string.
type PostPolicyForm struct {
	Expiration time.Time // Expiration date and time of the POST policy.
	Conditions struct {  // Conditional policy structure.
		Policies []struct {

        if (ComponentUtil.hasIngestFactory()) {
            ingestFactory = ComponentUtil.getIngestFactory();
        }
    }

    /**
     * Stores a document in the index after processing and validation.
     * Handles document transformation, field addition, and batched indexing.
     *
     * @param paramMap the data store parameters
     * @param dataMap the document data to store

    protected enum Result {
        /** Thumbnail was successfully generated */
        OK,
        /** Thumbnail generation failed due to processing errors */
        FAILED,
        /** Image dimensions do not meet validation requirements */
        INVALID_SIZE,
        /** No valid image data was found in the input */
        NO_IMAGE;
    }

        assertDoesNotThrow(stream::close);
        verify(handle, never()).ensureOpen();
        verifyNoInteractions(tree, fd);
    }

    @Nested
    @DisplayName("Constructor input validation")
    class CtorValidation {
        @Test
        @DisplayName("null handle throws NPE")
        void nullHandle() {
            assertThrows(NullPointerException.class, () -> new SmbPipeInputStream(null, tree));

  - true/strict - perform validation and error the request on any invalid fields in the ojbect. It will attempt to perform server-side validation if it is enabled on the apiserver, otherwise it will fall back to client-side validation.

And you could do this even if the data type in the request is not JSON.

For example, in this application we don't use FastAPI's integrated functionality to extract the JSON Schema from Pydantic models nor the automatic validation for JSON. In fact, we are declaring the request content type as YAML, not JSON:

//// tab | Pydantic v2

{* ../../docs_src/path_operation_advanced_configuration/tutorial007.py hl[17:22, 24] *}

////