Field field = null;
                Class<?> clazz = this.getClass();
                while (clazz != null && field == null) {
                    try {
                        field = clazz.getDeclaredField(fieldName);
                    } catch (NoSuchFieldException e) {
                        clazz = clazz.getSuperclass();
                    }
                }
                if (field == null) {

    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;
    }

	switch value := dbValue.(type) {
	case []byte:
		err = field.Set(ctx, dst, bytes.TrimPrefix(value, c.prefix))
	case string:
		err = field.Set(ctx, dst, strings.TrimPrefix(value, string(c.prefix)))
	default:
		err = fmt.Errorf("unsupported data %#v", dbValue)
	}
	return err
}

func (c *CustomSerializer) Value(ctx context.Context, field *schema.Field, dst reflect.Value, fieldValue interface{}) (interface{}, error) {

        String text = "";
        String field = "content";
        String lang = "en";

        List<AnalyzeToken> tokens = analyzer.analyze(text, field, lang);

        assertNotNull(tokens);
        assertTrue(tokens.isEmpty());
    }

    @Test
    public void testAnalyzeWithNullText() {
        // Test analyze with null text
        String text = null;
        String field = "content";
        String lang = "en";

          <required>true</required>
          <type>String</type>
        </field>
        <field>
          <name>version</name>
          <description>The version of the extension.</description>
          <version>1.0.0+</version>
          <required>true</required>
          <type>String</type>
        </field>
        <field>
          <name>classLoadingStrategy</name>

        return analyzerSettingsIndexName;
    }

    /**
     * Returns the name of the reading analyzer for a given field and language.
     * @param field The field name.
     * @param lang The language.
     * @return The reading analyzer name.
     */
    public String getReadingAnalyzerName(final String field, final String lang) {

        String text = "test";
        String field = "content";

        List<String> readings = converter.convert(text, field);

        assertNotNull(readings);
        assertEquals(1, readings.size());
        assertEquals("TEST", readings.get(0));
    }

    @Test
    public void testConvertWithNullField() throws IOException {
        // Test convert with null field
        converter.init();

                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)

          </description>
          <type>String</type>
        </field>
        <field>
          <name>protocol</name>
          <version>1.0.0+</version>
          <description>
            The proxy protocol.
          </description>
          <type>String</type>
          <defaultValue>http</defaultValue>
        </field>
        <field>
          <name>username</name>
          <version>1.0.0+</version>

    from fastapi._compat import v2

    field_info = FieldInfo(annotation=Union[list[str], None])
    field = v2.ModelField(name="items", field_info=field_info)
    result = v2.serialize_sequence_value(field=field, value=["a", "b", "c"])
    assert result == ["a", "b", "c"]
    assert isinstance(result, list)


@needs_py310