for (final ReadingConverter converter : converters) {
            converter.init();
        }
    }

    @Override
    public List<String> convert(final String text, final String field, final String... lang) throws IOException {
        final Queue<String> queue = new LinkedList<>();
        queue.add(text);
        final List<String> convertedTexts = new ArrayList<>(getMaxReadingNum());

            addFieldToSource(sourceMap, "thumbnail_id", thumbnailId);
        }
        return sourceMap;
    }

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

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

from typing import Dict, List, Optional

from fastapi import FastAPI
from pydantic import BaseModel, Field
from starlette.testclient import TestClient

app = FastAPI()


class Item(BaseModel):
    name: str = Field(alias="aliased_name")
    price: Optional[float] = None
    owner_ids: Optional[List[int]] = None


@app.get("/items/valid", response_model=Item)
def get_valid():
    return Item(aliased_name="valid", price=1.0)

	Tags                  []Tag    `xml:"Tag,omitempty"`
}

// isEmpty returns true if Tags field is null
func (a And) isEmpty() bool {
	return len(a.Tags) == 0 && !a.Prefix.set &&
		a.ObjectSizeGreaterThan == 0 && a.ObjectSizeLessThan == 0
}

// Validate - validates the And field
func (a And) Validate() error {
	// > This is used in a Lifecycle Rule Filter to apply a logical AND to two or more predicates.

    /** Atomic compare-and-set of the {@link AggregateFutureState#seenExceptions} field. */
    abstract void compareAndSetSeenExceptions(
        AggregateFutureState<?> state, @CheckForNull Set<Throwable> expect, Set<Throwable> update);

    /** Atomic decrement-and-get of the {@link AggregateFutureState#remaining} field. */
    abstract int decrementAndGetRemainingCount(AggregateFutureState<?> state);
  }

    FOO,
    BAR
  }

  @J2ktIncompatible
  @GwtIncompatible // reflection
  public void testGetField() {
    Field foo = Enums.getField(AnEnum.FOO);
    assertEquals("FOO", foo.getName());
    assertTrue(foo.isAnnotationPresent(ExampleAnnotation.class));

    Field bar = Enums.getField(AnEnum.BAR);
    assertEquals("BAR", bar.getName());
    assertFalse(bar.isAnnotationPresent(ExampleAnnotation.class));
  }

Por exemplo, você pode usar isso para adicionar metadados para uma interface de usuário de front-end, etc.

///

## `Field` de argumentos adicionais

Ao usar `Field ()` com modelos Pydantic, você também pode declarar informações extras para o **JSON Schema** passando quaisquer outros argumentos arbitrários para a função.

  private Enums() {}

  /**
   * Returns the {@link Field} in which {@code enumValue} is defined. For example, to get the {@code
   * Description} annotation on the {@code GOLF} constant of enum {@code Sport}, use {@code
   * Enums.getField(Sport.GOLF).getAnnotation(Description.class)}.
   *
   * @since 12.0
   */
  @GwtIncompatible // reflection
  public static Field getField(Enum<?> enumValue) {
    Class<?>

	if cc2.Name != "bar" {
		t.Errorf("Failed to query CustomizeColumn")
	}
}

func TestCustomColumnAndIgnoredFieldClash(t *testing.T) {
	// Make sure an ignored field does not interfere with another field's custom
	// column name that matches the ignored field.
	type CustomColumnAndIgnoredFieldClash struct {
		Body    string `gorm:"-"`
		RawBody string `gorm:"column:body"`
	}

        IsDict(
            {
                "detail": [
                    {
                        "type": "missing",
                        "loc": ["cookie", "session_id"],
                        "msg": "Field required",
                        "input": {},
                    }
                ]
            }
        )
        | IsDict(
            # TODO: remove when deprecating Pydantic v1
            {