* `pip install -U "tensorflow==1.*"`

  Otherwise your code may be broken by the change.

  """)

# Make sure directory containing top level submodules is in
# the __path__ so that "from tensorflow.foo import bar" works.
# We're using bitwise, but there's nothing special about that.
_API_MODULE = _sys.modules[__name__].bitwise  # pylint: disable=undefined-variable
_current_module = _sys.modules[__name__]

Because we are passing it as a **value to an argument** instead of putting it in a **type annotation**, we have to use `Union` even in Python 3.10.

If it was in a type annotation we could have used the vertical bar, as:

```Python
some_variable: PlaneItem | CarItem
```

	}

	tests := []struct {
		pkg  string
		want bool
	}{
		{"net/http", true},
		{"net/http/internal-foo", true},
		{"net/http/internal", false},
		{"net/http/internal/bar", false},
		{"internal/foo", false},
		{"internal", false},
	}
	for _, tt := range tests {
		got := !internalPkg.MatchString(tt.pkg)
		if got != tt.want {

## Создаём экземпляр { #create-an-instance }

Мы можем создать экземпляр этого класса так:

{* ../../docs_src/dependencies/tutorial011_an_py39.py hl[18] *}

Так мы «параметризуем» нашу зависимость: теперь внутри неё хранится "bar" в атрибуте `checker.fixed_content`.

## Используем экземпляр как зависимость { #use-the-instance-as-a-dependency }

 * for the following multimap definition:
 *
 * {@snippet :
 * Multimap<K, V> multimap = LinkedListMultimap.create();
 * multimap.put(key1, foo);
 * multimap.put(key2, bar);
 * multimap.put(key1, baz);
 * }
 *
 * ... the iteration order for {@link #keys()} is {@code [key1, key2, key1]}, and similarly for

    return Response(content="Foo")


@app.get("/no_response_model-annotation_json_response_class")
def no_response_model_annotation_json_response_class() -> JSONResponse:
    return JSONResponse(content={"foo": "bar"})


client = TestClient(app)


def test_no_response_model_no_annotation_return_model():
    response = client.get("/no_response_model-no_annotation-return_model")

 *
 * <p>Using {@link Comparator} avoids certain types of bugs, for example when you meant to write
 * {@code .compare(a.foo, b.foo)} but you actually wrote {@code .compare(a.foo, a.foo)} or {@code
 * .compare(a.foo, b.bar)}. {@code ComparisonChain} also has a potential performance problem that
 * {@code Comparator} doesn't: it evaluates all the parameters of all the {@code .compare} calls,

Pero si tus datos tienen valores para los campos del modelo con valores por defecto, como el artículo con ID `bar`:

```Python hl_lines="3  5"
{
    "name": "Bar",
    "description": "The bartenders",
    "price": 62,
    "tax": 20.2
}
```

serán incluidos en el response.

   * @param max the upper bound (inclusive) of the range to constrain {@code value} to
   * @throws IllegalArgumentException if {@code min > max}
   * @since 21.0
   */
  // A call to bare "min" or "max" would resolve to our varargs method, not to any static import.
  @SuppressWarnings("StaticImportPreferred")
  public static int constrainToRange(int value, int min, int max) {

    }

    protected ArtifactRepository badRemoteRepository() throws Exception {
        return artifactRepositoryFactory.createArtifactRepository(
                "test", "http://foo.bar/repository", repoLayout, null, null);
    }

    protected void assertRemoteArtifactPresent(Artifact artifact) throws Exception {
        ArtifactRepository remoteRepo = remoteRepository();