* for configuring the extraction parameters and handling the underlying complexities of content processing,
 * such as MIME type detection, extractor selection, and content length validation.
 * </p>
 *
 * <p>
 * Example usage:
 * </p>
 *
 * <pre>
 * {@code
 * try (InputStream in = new FileInputStream("example.pdf")) {

	}

	n = len(b0) - len(b)
	switch {
	case err == ErrWriteTooLong:
		return n, errMissData // Not possible; implies bug in validation logic
	case err != nil:
		return n, err
	case sw.logicalRemaining() == 0 && sw.physicalRemaining() > 0:
		return n, errUnrefData // Not possible; implies bug in validation logic
	case overwrite:
		return n, ErrWriteTooLong
	default:
		return n, nil
	}
}

            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

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

	"github.com/dustin/go-humanize"
	"github.com/minio/pkg/v3/wildcard"
	"gopkg.in/yaml.v3"
)

//go:generate msgp -file $GOFILE
//msgp:ignore BatchJobYamlErr

// BatchJobYamlErr can be used to return yaml validation errors with line,
// column information guiding user to fix syntax errors
type BatchJobYamlErr struct {
	line, col int
	msg       string
}

// message returns the error message excluding line, col information.

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

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.
 *
 */

 *
 * 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

import org.codelibs.fess.util.ComponentUtil;

import jakarta.annotation.PostConstruct;

/**
 * Helper class for managing and validating URL protocols in Fess crawling system.
 * This class handles the initialization and validation of web and file protocols
 * used by the crawler to determine which URLs can be crawled.
 */
public class ProtocolHelper {

Поля `example` как такового не существует в стандартах **JSON Schema**. В последних версиях JSON-схемы определено поле <a href="https://json-schema.org/draft/2019-09/json-schema-validation.html#rfc.section.9.5" class="external-link" target="_blank">`examples`</a>, но OpenAPI 3.0.3 основан на более старой версии JSON-схемы, которая не имела поля `examples`.