}
	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")
	}

        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));

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] *}

////

            ],
            "msg": "value is not a valid integer",
            "type": "type_error.integer"
        }
    ]
}
```

вы получите текстовую версию:

```
1 validation error
path -> item_id
  value is not a valid integer (type=type_error.integer)
```

#### `RequestValidationError` или `ValidationError`

/// warning | Внимание

import org.codelibs.fess.util.RenderDataUtil;
import org.lastaflute.web.Execute;
import org.lastaflute.web.response.HtmlResponse;
import org.lastaflute.web.ruts.process.ActionRuntime;
import org.lastaflute.web.validation.exception.ValidationErrorException;

/**
 * Admin action for Plugin management.
 * This class provides functionality for installing, deleting, and managing plugins in the Fess system.
 *
 */

        void testRpcCPfNoAutoRetry() {
            assertEquals(0x80, DcerpcConstants.RPC_C_PF_NO_AUTO_RETRY, "RPC_C_PF_NO_AUTO_RETRY should be 0x80");
        }
    }

    @Nested
    @DisplayName("Constants Validation Tests")
    class ConstantsValidationTests {

        @Test
        @DisplayName("All fragment flags should have unique values")
        void testFragmentFlagsUniqueness() {

                        null);

        // The implementation accepts any tag number without validation
        assertDoesNotThrow(() -> {
            NegTokenInit parsed = new NegTokenInit(token);
            assertNotNull(parsed.getMechanisms(), "Should parse mechanisms");

            ],
            "msg": "value is not a valid integer",
            "type": "type_error.integer"
        }
    ]
}
```

obtendrás una versión en texto, con:

```
1 validation error
path -> item_id
  value is not a valid integer (type=type_error.integer)
```

#### `RequestValidationError` vs `ValidationError`

/// warning | Advertencia