* @return the result of invoking {@link Float#compare(float, float)}
   */
  @InlineMe(replacement = "Float.compare(a, b)")
  public static int compare(float a, float b) {
    return Float.compare(a, b);
  }

  /**
   * Returns {@code true} if {@code value} represents a real number. This is equivalent to, but not
   * necessarily implemented as, {@code !(Float.isInfinite(value) || Float.isNaN(value))}.

   * @return the result of invoking {@link Float#compare(float, float)}
   */
  @InlineMe(replacement = "Float.compare(a, b)")
  public static int compare(float a, float b) {
    return Float.compare(a, b);
  }

  /**
   * Returns {@code true} if {@code value} represents a real number. This is equivalent to, but not
   * necessarily implemented as, {@code !(Float.isInfinite(value) || Float.isNaN(value))}.

    assertThat(Floats.constrainToRange((float) 1, (float) 1, (float) 5)).isEqualTo((float) 1);
    assertThat(Floats.constrainToRange((float) 1, (float) 3, (float) 5)).isEqualTo((float) 3);
    assertThat(Floats.constrainToRange((float) 0, (float) -5, (float) -1)).isEqualTo((float) -1);
    assertThat(Floats.constrainToRange((float) 5, (float) 2, (float) 2)).isEqualTo((float) 2);

    assertThat(Floats.constrainToRange((float) 1, (float) 1, (float) 5)).isEqualTo((float) 1);
    assertThat(Floats.constrainToRange((float) 1, (float) 3, (float) 5)).isEqualTo((float) 3);
    assertThat(Floats.constrainToRange((float) 0, (float) -5, (float) -1)).isEqualTo((float) -1);
    assertThat(Floats.constrainToRange((float) 5, (float) 2, (float) 2)).isEqualTo((float) 2);

        serialization_alias: Union[str, None] = None,
        title: Optional[str] = None,
        description: Optional[str] = None,
        gt: Optional[float] = None,
        ge: Optional[float] = None,
        lt: Optional[float] = None,
        le: Optional[float] = None,
        min_length: Optional[int] = None,
        max_length: Optional[int] = None,
        pattern: Optional[str] = None,
        regex: Annotated[

  }

  public void testCheckNonNegative_zeroFloat() {
    MathPreconditions.checkNonNegative("float", 0f);
  }

  public void testCheckNonNegative_maxFloat() {
    MathPreconditions.checkNonNegative("float", Float.MAX_VALUE);
  }

  public void testCheckNonNegative_minFloat() {
    MathPreconditions.checkNonNegative("float", Float.MIN_VALUE);
  }

  public void testCheckNonNegative_positiveFloat() {

  GetDims(theta_tensor, theta_dims.data());

  // Initialize auxilary data structures.
  vector<float> thetaPlus_data(num_elems);
  vector<float> thetaMinus_data(num_elems);
  AbstractTensorHandle* f_outputs[1];

  // Numerical Grad Check
  for (int i = 0; i < num_elems; i++) {
    // Get relative epsilon value
    float epsilon = theta_data[i] == 0 ? 1e-4 : std::abs(theta_data[i] * 1e-4);
    AbstractTensorHandlePtr two_eps;

            """
        ),
    ] = None,
    gt: Annotated[
        Optional[float],
        Doc(
            """
            Greater than. If set, value must be greater than this. Only applicable to
            numbers.
            """
        ),
    ] = None,
    ge: Annotated[
        Optional[float],
        Doc(
            """

from typing_extensions import Annotated

app = FastAPI()


@app.post("/")
async def get(
    x: Annotated[float, Query(allow_inf_nan=True)] = 0,
    y: Annotated[float, Query(allow_inf_nan=False)] = 0,
    z: Annotated[float, Query()] = 0,
    b: Annotated[float, Body(allow_inf_nan=False)] = 0,
) -> str:
    return "OK"


client = TestClient(app)


@pytest.mark.parametrize(

TEST_P(GradientCheckerTest, TestMatMul) {
  float A_vals[] = {1.0f, 2.0f, 3.0f, 4.0f};
  int64_t A_dims[] = {2, 2};
  AbstractTensorHandlePtr A;
  {
    AbstractTensorHandle* A_raw;
    absl::Status s = TestTensorHandleWithDims<float, TF_FLOAT>(
        ctx_.get(), A_vals, A_dims, 2, &A_raw);
    ASSERT_EQ(errors::OK, s.code()) << s.message();
    A.reset(A_raw);
  }
  float B_vals[] = {.5f, -1.0f, 1.0f, 1.0f};