),
        ] = None,
        discriminator: Union[str, None] = None,
        strict: Union[bool, None] = _Unset,
        multiple_of: Union[float, None] = _Unset,
        allow_inf_nan: Union[bool, None] = _Unset,
        max_digits: Union[int, None] = _Unset,
        decimal_places: Union[int, None] = _Unset,
        examples: Optional[list[Any]] = None,
        example: Annotated[
            Optional[Any],

            If `True`, strict validation is applied to the field.
            """
        ),
    ] = _Unset,
    multiple_of: Annotated[
        Union[float, None],
        Doc(
            """
            Value must be a multiple of this. Only applicable to numbers.
            """
        ),
    ] = _Unset,
    allow_inf_nan: Annotated[
        Union[bool, None],
        Doc(
            """

        "//tensorflow/core:lib",
        "//tensorflow/core:protos_all_cc",
        "//tensorflow/core:session_options",
        "//tensorflow/core:test",
    ],
)

tf_cc_test(
    name = "c_test",
    srcs = ["c_test.c"],
    extra_copts = ["-std=c11"],
    deps = [
        ":c_api",
        ":c_api_experimental",
        ":env",
        ":kernels",
    ],
)

tf_cuda_cc_test(

        "k3": Item(aliased_name="baz", price=2.0, owner_ids=[1, 2, 3]),
    }


@app.get(
    "/items/valid-exclude-unset", response_model=Item, response_model_exclude_unset=True
)
def get_valid_exclude_unset():
    return Item(aliased_name="valid", price=1.0)


@app.get(
    "/items/coerce-exclude-unset",
    response_model=Item,
    response_model_exclude_unset=True,
)
def get_coerce_exclude_unset():

    assertTrue(ArbitraryInstances.get(BitSet.class).isEmpty());
    assertTrue(ArbitraryInstances.get(TreeSet.class).isEmpty());
    assertTrue(ArbitraryInstances.get(TreeMap.class).isEmpty());
    assertFreshInstanceReturned(
        LinkedList.class,
        Deque.class,
        Queue.class,
        PriorityQueue.class,
        BitSet.class,
        TreeSet.class,
        TreeMap.class);
  }

    assertTrue(ArbitraryInstances.get(BitSet.class).isEmpty());
    assertTrue(ArbitraryInstances.get(TreeSet.class).isEmpty());
    assertTrue(ArbitraryInstances.get(TreeMap.class).isEmpty());
    assertFreshInstanceReturned(
        LinkedList.class,
        Deque.class,
        Queue.class,
        PriorityQueue.class,
        BitSet.class,
        TreeSet.class,
        TreeMap.class);
  }

[well-formed commit message]: https://google.github.io/eng-practices/review/developer/cl-descriptions.html

#### Merging pull requests ####

Due to Guava's nature as a subset of Google's internal codebase which is
automatically synced to the public GitHub repository, we are unable to merge
pull requests directly into the master branch. Instead, once a pull request is

Aber dieser Leitfaden zeigt Ihnen mehr oder weniger, wie die beiden normalerweise verwendet werden.

///

### Pydantics `exclude_unset`-Parameter verwenden { #using-pydantics-exclude-unset-parameter }

Wenn Sie Teil-Aktualisierungen entgegennehmen, ist der `exclude_unset`-Parameter in der `.model_dump()`-Methode von Pydantic-Modellen sehr nützlich.

Wie in `item.model_dump(exclude_unset=True)`.

  }

  /** Identifies just tryEnterXxx methods (a subset of {@link #isAnyEnter}), which never block. */
  private static boolean isTryEnter(Method method) {
    return method.getName().startsWith("tryEnter");
  }

  /**
   * Identifies just enterIfXxx methods (a subset of {@link #isAnyEnter}), which are mostly like the
   * enterXxx methods but behave like tryEnterXxx in some scenarios.

Pero esta guía te muestra, más o menos, cómo se pretende que se usen.

///

### Uso del parámetro `exclude_unset` de Pydantic { #using-pydantics-exclude-unset-parameter }

Si quieres recibir actualizaciones parciales, es muy útil usar el parámetro `exclude_unset` en el `.model_dump()` del modelo de Pydantic.

Como `item.model_dump(exclude_unset=True)`.

/// info | Información