You write standard Python with types:

```Python
from datetime import date

from pydantic import BaseModel

# Declare a variable as a str
# and get editor support inside the function
def main(user_id: str):
    return user_id


# A Pydantic model
class User(BaseModel):
    id: int
    name: str
    joined: date
```

Você escreve Python padrão com tipos:

```Python
from datetime import date

from pydantic import BaseModel

# Declare uma variável como str
# e obtenha suporte do editor dentro da função
def main(user_id: str):
    return user_id


# Um modelo do Pydantic
class User(BaseModel):
    id: int
    name: str
    joined: date

          }
        }
      }
    },
    /*
     * This one comes last to work around b/367716565. (One *possible* alternative would be to not
     * declare any methods in this enum, converting assertFailsToDecode into a static method that is
     * implemented with a `switch`. I haven't tested that.)
     */
    @GwtIncompatible // decodingStream(Reader)
    DECODING_STREAM {

  abstract void handleAllCompleted();

  /** Adds the chain to the seen set, and returns whether all the chain was new to us. */
  private static boolean addCausalChain(Set<Throwable> seen, Throwable param) {
    // Declare a "true" local variable so that the Checker Framework will infer nullness.
    Throwable t = param;

    for (; t != null; t = t.getCause()) {
      boolean firstTimeSeen = seen.add(t);
      if (!firstTimeSeen) {

///

### Create the `Settings` object { #create-the-settings-object }

Import `BaseSettings` from Pydantic and create a sub-class, very much like with a Pydantic model.

The same way as with Pydantic models, you declare class attributes with type annotations, and possibly default values.

You can use all the same validation features and tools you use for Pydantic models, like different data types and additional validations with `Field()`.

    return startIndex == endIndex
        ? EMPTY
        : new ImmutableLongArray(array, start + startIndex, start + endIndex);
  }

  @IgnoreJRERequirement // used only from APIs that use streams
  /*
   * We declare this as package-private, rather than private, to avoid generating a synthetic
   * accessor method (under -target 8) that would lack the Android flavor's @IgnoreJRERequirement.
   */
  Spliterator.OfLong spliterator() {

    return startIndex == endIndex
        ? EMPTY
        : new ImmutableIntArray(array, start + startIndex, start + endIndex);
  }

  /*
   * We declare this as package-private, rather than private, to avoid generating a synthetic
   * accessor method (under -target 8) that would lack the Android flavor's @IgnoreJRERequirement.
   */
  Spliterator.OfInt spliterator() {

    checkNotNull(fromKey);
    return newView(sortedDelegate.tailMap(fromKey));
  }

  public ImmutableSortedMap<K, V> tailMap(K fromKeyParam, boolean inclusive) {
    // Declare a "true" local variable so that the Checker Framework will infer nullness.
    K fromKey = fromKeyParam;
    checkNotNull(fromKey);
    if (!inclusive) {
      fromKey = higher(fromKey);
      if (fromKey == null) {

///

{* ../../docs_src/security/tutorial005_an_py310.py hl[156] *}

## Declare escopos em *operações de rota* e dependências

Agora nós declaramos que a *operação de rota* para `/users/me/items/` exige o escopo `items`.

Para isso, nós importamos e utilizamos `Security` de `fastapi`.

     *
     * Unfortunately, we don't distinguish between these two cases in our public API: Joiner.on(...)
     * and Joiner.on(...).useForNull(...) both declare the same return type: plain Joiner. To ensure
     * that users *can* pass null arguments to Joiner, we annotate it as if it always tolerates null
     * inputs, rather than as if it never tolerates them.
     *