Например, вы можете использовать это для добавления дополнительной информации для пользовательского интерфейса в вашем веб-приложении и т.д.

///

## Дополнительные аргументы поля `Field`

При использовании `Field()` с моделями Pydantic, вы также можете объявлять дополнительную информацию для **JSON Schema**, передавая любые другие произвольные аргументы в функцию.

            addFieldToSource(sourceMap, "sessionId", sessionId);
        }
        return sourceMap;
    }

    protected void addFieldToSource(Map<String, Object> sourceMap, String field, Object value) {
        sourceMap.put(field, value);
    }

    // ===================================================================================
    //                                                                      Basic Override

            addFieldToSource(sourceMap, "value", value);
        }
        return sourceMap;
    }

    protected void addFieldToSource(Map<String, Object> sourceMap, String field, Object value) {
        sourceMap.put(field, value);
    }

    // ===================================================================================
    //                                                                      Basic Override

        try {
            java.lang.reflect.Field ptypeField = jcifs.dcerpc.DcerpcMessage.class.getDeclaredField("ptype");
            ptypeField.setAccessible(true);
            assertEquals(0, ptypeField.get(msrpcSamrOpenAlias), "ptype should be initialized to 0");

            java.lang.reflect.Field flagsField = jcifs.dcerpc.DcerpcMessage.class.getDeclaredField("flags");

	"gorm.io/gorm/schema"
)

// Dialector GORM database dialector
type Dialector interface {
	Name() string
	Initialize(*DB) error
	Migrator(db *DB) Migrator
	DataTypeOf(*schema.Field) string
	DefaultValueOf(*schema.Field) clause.Expression
	BindVarTo(writer clause.Writer, stmt *Statement, v interface{})
	QuoteTo(clause.Writer, string)
	Explain(sql string, vars ...interface{}) string
}

// Plugin GORM plugin interface

    public void test_execute_withQueryBuilder() {
        QueryBuilder queryBuilder = QueryBuilders.termQuery("field", "value");
        updateLabelJob.query(queryBuilder);

        String result = updateLabelJob.execute();
        assertNotNull(result);
        assertTrue(result.contains("3 docs"));
        // queryBuilder field is protected, so we can't directly assert it
    }

    // Test execute() method with exception handling

set before starting MinIO server. After the data and parity drives for each storage class are defined using environment variables,
you can set the storage class of an object via request metadata field `x-amz-storage-class`. MinIO server then honors the storage class by
saving the object in specific number of data and parity drives.

## Storage usage

import static org.junit.jupiter.api.Assertions.assertEquals;
import static org.junit.jupiter.api.Assertions.assertThrows;
import static org.junit.jupiter.api.Assertions.assertTrue;

import java.lang.reflect.Field;
import java.lang.reflect.Modifier;
import java.util.Map;
import java.util.regex.Pattern;

import org.junit.jupiter.api.DisplayName;
import org.junit.jupiter.api.Test;

/**

            }

            @Override
            public List<String> convert(String text, final String field, String... langs) throws IOException {
                return null;
            }
        };

        final Normalizer normalizer = (text, field, lang) -> null;

        final Suggester suggester = Suggester.builder()

	AssertEqual(t, err, gorm.ErrPrimaryKeyRequired)
}

type (
	myType           string
	emptyQueryClause struct {
		Field *schema.Field
	}
)

func (myType) QueryClauses(f *schema.Field) []clause.Interface {
	return []clause.Interface{emptyQueryClause{Field: f}}
}

func (sd emptyQueryClause) Name() string {
	return "empty"
}

func (sd emptyQueryClause) Build(clause.Builder) {
}