if err != nil {
		apiErr := errorCodes.ToAPIErr(ErrMalformedXML)
		apiErr.Description = err.Error()
		writeErrorResponse(ctx, w, apiErr, r.URL)
		return
	}
	// validate the request
	if err := rreq.validate(ctx, objectAPI); err != nil {
		apiErr := errorCodes.ToAPIErr(ErrMalformedXML)
		apiErr.Description = err.Error()
		writeErrorResponse(ctx, w, apiErr, r.URL)
		return
	}

    }

    @Test
    @DisplayName("Arrays: non-null, same length, and exact contents")
    void arrays_are_well_formed_and_match() {
        // Validate arrays existence and alignment (edge and structure checks)
        assertNotNull(WinError.WINERR_CODES, "WINERR_CODES should not be null");
        assertNotNull(WinError.WINERR_MESSAGES, "WINERR_MESSAGES should not be null");

func (evnot *EventNotifier) set(bucket string, meta BucketMetadata) {
	config := meta.notificationConfig
	if config == nil {
		return
	}
	region := globalSite.Region()
	config.SetRegion(region)
	if err := config.Validate(region, globalEventNotifier.targetList); err != nil {
		if _, ok := err.(*event.ErrARNNotFound); !ok {
			internalLogIf(GlobalContext, err)
		}
	}
	evnot.AddRulesMap(bucket, config.ToRulesMap())
}

 *
 * Performance optimizations:
 * - Uses ConcurrentLinkedQueue for O(1) operations
 * - Lock-free operations for better concurrency
 * - Proper buffer validation and limits
 */
public class BufferCache {

    /**
     * Private constructor to prevent instantiation of this utility class.
     */
    private BufferCache() {
        // Utility class - not instantiable

So, even with the code above that doesn't use Pydantic explicitly, FastAPI is using Pydantic to convert those standard dataclasses to Pydantic's own flavor of dataclasses.

And of course, it supports the same:

* data validation
* data serialization
* data documentation, etc.

This works the same way as with Pydantic models. And it is actually achieved in the same way underneath, using Pydantic.

/// info

			expectedErr:    false,
			expectedUpdate: true,
		},
	}

	t.Parallel()
	for _, testCase := range testCases {
		t.Run(testCase.name, func(t *testing.T) {
			update, err := testCase.meta.validate(testCase.pools)
			if testCase.expectedErr {
				t.Log(err)
			}
			if err != nil && !testCase.expectedErr {
				t.Errorf("Expected success, but found %s", err)
			}
			if err == nil && testCase.expectedErr {

		HTTPStatusCode: http.StatusBadRequest,
	},
	ErrSTSInvalidClientGrantsToken: {
		Code:           "InvalidClientGrantsToken",
		Description:    "The client grants token that was passed could not be validated by MinIO.",
		HTTPStatusCode: http.StatusBadRequest,
	},
	ErrSTSMalformedPolicyDocument: {
		Code:           "MalformedPolicyDocument",

import org.lastaflute.web.response.HtmlResponse;
import org.lastaflute.web.response.render.RenderData;
import org.lastaflute.web.ruts.process.ActionRuntime;
import org.lastaflute.web.validation.VaErrorHook;
import org.lastaflute.web.validation.exception.ValidationErrorException;

import jakarta.annotation.Resource;

/**
 * Admin action for Mapping management.
 *
 */

			[]byte("10000;chunk-signature=ad80c730a21e5b8d04586a2213dd63b9a0e99e0e2307b0ade35a65485a288648    \t \n"),
			[]byte("10000"),
			[]byte("ad80c730a21e5b8d04586a2213dd63b9a0e99e0e2307b0ade35a65485a288648"),
		},
	}
	// Validate chunk extension removal.
	for i, tt := range tests {
		// Extract chunk size and chunk signature after parsing a standard chunk-extension format.
		hexChunkSize, hexChunkSignature := parseS3ChunkExtension(tt.buf)

            c = b;
            b = a % b;
            a = c;
        }
        return u * v / a;
    }

    /**
     * Calculates a MAC (Message Authentication Code) for PAC data validation.
     * @param type the checksum type to use
     * @param keys map of available Kerberos keys indexed by encryption type
     * @param data the data to calculate the MAC for
     * @return the calculated mac bytes