stream.forEach(field -> {
                count.incrementAndGet();
                assertTrue(field.equals("field1") || field.equals("field2") || field.equals("field3"));
            });
        });

        assertEquals(3, count.get());
    }

    @Test
    public void test_highlightedFields_empty() {
        String[] fields = {};
        queryFieldConfig.setHighlightedFields(fields);

        for (String field : queryFieldConfig.searchFields) {
            assertTrue("Search field " + field + " should be in Set", queryFieldConfig.searchFieldSet.contains(field));
        }
        for (String field : queryFieldConfig.facetFields) {
            assertTrue("Facet field " + field + " should be in Set", queryFieldConfig.facetFieldSet.contains(field));
        }

                for (CacheField field : fields) {
                    field.interpolate(target, interpolateObjectAction);
                }
            }

            boolean isArray() {
                return isArray;
            }
        }

        abstract static class CacheField {
            final Field field;

            CacheField(Field field) {
                this.field = field;

				// Note: Duplicate Columns
				{Field: &schema.Field{Name: "FieldD"}},
			},
		},
		{
			Name:  "uniq_field_e1_e2",
			Class: "UNIQUE",
			Fields: []schema.IndexOption{
				{Field: &schema.Field{Name: "FieldE1"}},
				{Field: &schema.Field{Name: "FieldE2"}},
			},
		},
		{
			Name:  "uniq_field_f1_f2",
			Class: "UNIQUE",
			Fields: []schema.IndexOption{

        SuggestItem item1 = createItemWithFields("text", "field1", "field2");
        SuggestItem item2 = createItemWithFields("text", "field2", "field3");

        SuggestItem merged = SuggestItemMerger.merge(item1, item2);

        String[] fields = merged.getFields();
        Set<String> fieldSet = new HashSet<>(Arrays.asList(fields));

        assertEquals(3, fieldSet.size());

        assertTrue(result.contains("field1"));
        assertTrue(result.contains("exclude1"));
    }

    @Test
    public void test_getCacheKey_sorting() {
        String seed = "test_seed";
        String[] tags = { "zzz", "aaa", "mmm" };
        String[] roles = { "role3", "role1", "role2" };
        String[] fields = { "field3", "field1", "field2" };

# Body - Поля { #body-fields }

Таким же способом, как вы объявляете дополнительную валидацию и метаданные в параметрах *функции обработки пути* с помощью функций `Query`, `Path` и `Body`, вы можете объявлять валидацию и метаданные внутри Pydantic моделей, используя функцию `Field` из Pydantic.

## Импорт `Field` { #import-field }

Сначала вы должны импортировать его:

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

/// warning | Внимание

            .add("field27", Optional.absent())
            // Arrays
            .add("field31", new Object[] {"!!!"})
            .add("field32", new boolean[0])
            .add("field33", new byte[0])
            .add("field34", new char[0])
            .add("field35", new short[0])
            .add("field36", new int[0])
            .add("field37", new long[0])
            .add("field38", new float[0])

			field.IgnoreMigration = true
		case "migration":
			field.IgnoreMigration = true
		}
	}

	if v, ok := field.TagSettings["->"]; ok {
		field.Creatable = false
		field.Updatable = false
		if strings.ToLower(v) == "false" {
			field.Readable = false
		} else {
			field.Readable = true
		}
	}

	if v, ok := field.TagSettings["<-"]; ok {
		field.Creatable = true
		field.Updatable = true

# Body - Alanlar { #body-fields }

`Query`, `Path` ve `Body` ile *path operation function* parametrelerinde ek doğrulama ve metadata tanımlayabildiğiniz gibi, Pydantic modellerinin içinde de Pydantic'in `Field`'ını kullanarak doğrulama ve metadata tanımlayabilirsiniz.

## `Field`'ı import edin { #import-field }

Önce import etmeniz gerekir:

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

/// warning | Uyarı