LinkedHashMultimap<String, Integer> multimap = LinkedHashMultimap.create();
    for (int z = 1; z <= 100; z++) {
      multimap.put("a", z);
      // The Eclipse compiler (and hence GWT) rejects a parameterized cast.
      @SuppressWarnings("unchecked")
      LinkedHashMultimap<String, Integer>.ValueSet valueSet =
          (LinkedHashMultimap.ValueSet) multimap.backingMap().get("a");
      assertEquals(z, valueSet.size());

    ```

    For a single component e.g. softmax op:

    ```bash
    bazel test ${flags} tensorflow/python/kernel_tests/nn_ops:softmax_op_test
    ```

    For a single/parameterized test e.g. `test_capture_variables` in
    `tensorflow/python/saved_model/load_test.py`:

    (Requires `python>=3.7`)

    ```bash

        return constructor.newInstance(args);
      } catch (InstantiationException e) {
        throw new RuntimeException(constructor + " failed.", e);
      }
    }

    /**
     * If the class is parameterized, such as {@link java.util.ArrayList ArrayList}, this returns
     * {@code ArrayList<E>}.
     */
    @Override
    Type getGenericReturnType() {
      Class<?> declaringClass = getDeclaringClass();

   * contained references are {@linkplain Object#equals equal} to each other or both are absent.
   * Note that {@code Optional} instances of differing parameterized types can be equal.
   *
   * <p><b>Comparison to {@code java.util.Optional}:</b> no differences.
   */
  @Override
  public abstract boolean equals(@Nullable Object object);

  /**

 *
 * <p>This class incurs IO because it scans the classpath and reads classpath resources.
 *
 * @author Ben Yu
 * @since 14.0
 */
// TODO: Switch to JUnit 4 and use @Parameterized and @BeforeClass
// Note: @Test annotations are deliberate, as some subclasses specify @RunWith(JUnit4).
@GwtIncompatible
@J2ktIncompatible
@J2ObjCIncompatible // com.google.common.reflect.ClassPath
@NullMarked

  int counter_;
};

// Helper macros for the TF_OperationGetAttr* tests.
// TODO(ashankar): Use gmock matchers instead?
// (https://github.com/google/googletest/blob/master/googlemock/docs/CookBook.md#writing-new-parameterized-matchers-quickly)
// That will require setting up the tensorflow build with gmock.
#define EXPECT_TF_META(attr_name, expected_list_size, expected_type, \
                       expected_total_size)                          \

        <field>
          <name>stringFiltering</name>
          <version>4.1.0+</version>
          <description>
            <![CDATA[
            Whether resources are filtered to replace tokens with parameterized values.
            The values are taken from the {@code properties} element and from the properties
            in the files listed in the {@code filters} element.

            "p": {"title": "P", "type": "string"},
        },
        "required": ["p"],
        "title": body_model_name,
        "type": "object",
    }


@pytest.mark.parametrize("json", [None, {}])
@pytest.mark.parametrize(
    "path",
    ["/required-str", "/model-required-str"],
)
def test_required_str_missing(path: str, json: Union[dict[str, Any], None]):
    client = TestClient(app)

            "in": "header",
        }
    ]


@pytest.mark.parametrize(
    "path",
    ["/optional-str", "/model-optional-str"],
)
def test_optional_str_missing(path: str):
    client = TestClient(app)
    response = client.get(path)
    assert response.status_code == 200
    assert response.json() == {"p": None}


@pytest.mark.parametrize(
    "path",
    ["/optional-str", "/model-optional-str"],
)

class HeaderModelRequiredStr(BaseModel):
    p: str


@app.get("/model-required-str")
async def read_model_required_str(p: Annotated[HeaderModelRequiredStr, Header()]):
    return {"p": p.p}


@pytest.mark.parametrize(
    "path",
    ["/required-str", "/model-required-str"],
)
def test_required_str_schema(path: str):
    assert app.openapi()["paths"][path]["get"]["parameters"] == [
        {
            "required": True,