is_scalar_field(field)
                or is_scalar_sequence_field(field)
                or (
                    lenient_issubclass(field.type_, BaseModel)
                    # For Pydantic v1
                    and getattr(field, "shape", 1) == 1
                )
            )

    return ParamDetails(type_annotation=type_annotation, depends=depends, field=field)

# Field name for document ID in the index.
index.field.doc_id=doc_id
# Field name for internal ID in the index.
index.field.id=_id
# Field name for version in the index.
index.field.version=_version
# Field name for sequence number in the index.
index.field.seq_no=_seq_no
# Field name for primary term in the index.
index.field.primary_term=_primary_term
# Field name for language in the index.
index.field.lang=lang

        }
    }

    // Helper method to set private dialectIndex field using reflection
    private void setDialectIndex(SmbComNegotiateResponse response, int dialectIndex) {
        try {
            Field field = response.getClass().getDeclaredField("dialectIndex");
            field.setAccessible(true);
            field.set(response, dialectIndex);
        } catch (Exception e) {

func (z *ActiveWorkerStat) DecodeMsg(dc *msgp.Reader) (err error) {
	var field []byte
	_ = field
	var zb0001 uint32
	zb0001, err = dc.ReadMapHeader()
	if err != nil {
		err = msgp.WrapError(err)
		return
	}
	for zb0001 > 0 {
		zb0001--
		field, err = dc.ReadMapKeyPtr()
		if err != nil {
			err = msgp.WrapError(err)
			return
		}
		switch msgp.UnsafeString(field) {
		case "Curr":
			z.Curr, err = dc.ReadInt()

				tx.AddError(rel.Field.Set(tx.Statement.Context, reflectValue.Index(i), reflect.MakeSlice(rel.Field.IndirectFieldType, 0, 10).Interface()))
			default:
				tx.AddError(rel.Field.Set(tx.Statement.Context, reflectValue.Index(i), reflect.New(rel.Field.FieldType).Interface()))
			}
		}
	}

	for i := 0; i < reflectResults.Len(); i++ {
		elem := reflectResults.Index(i)
		for idx, field := range relForeignFields {

    protected AvgAggregationBuilder regAvgA(String name, String field) {
        AvgAggregationBuilder builder = AggregationBuilders.avg(name).field(field);
        regA(builder);
        return builder;
    }

    protected MaxAggregationBuilder regMaxA(String name, String field) {
        MaxAggregationBuilder builder = AggregationBuilders.max(name).field(field);
        regA(builder);
        return builder;
    }

        assertEquals("abcdefghijklmnopqrstuvwxyz", result);
    }

    @Test
    public void test_uppercaseAlphabet() throws Exception {
        FullWidthToHalfWidthAlphabetNormalizer normalizer = new FullWidthToHalfWidthAlphabetNormalizer();

        String result = normalizer.normalize("ＡＢＣＤＥＦＧＨＩＪＫＬＭＮＯＰＱＲＳＴＵＶＷＸＹＺ", "field");

## Importe `Field` { #import-field }

Primeiro, você tem que importá-lo:

{* ../../docs_src/body_fields/tutorial001_an_py310.py hl[4] *}

/// warning | Atenção

Note que `Field` é importado diretamente do `pydantic`, não do `fastapi` como todo o resto (`Query`, `Path`, `Body`, etc).

///

     * @param name The name of the field.
     * @param value The value of the field.
     * @return The result data body.
     */
    protected String getResultDataBody(final String name, final String value) {
        // TODO: Support other XML footer types
        // TODO: Support other field types and trimming options

 * governing permissions and limitations under the License.
 */
package org.codelibs.core.exception;

import static org.codelibs.core.collection.ArrayUtil.asArray;

import java.lang.reflect.Field;

/**
 * Exception thrown when a {@link Field} cannot be found.
 *
 * @author higa
 *
 */
public class FieldNotFoundRuntimeException extends ClRuntimeException {

    private static final long serialVersionUID = -2715036865146285893L;