from fastapi.testclient import TestClient

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(

TFE_TensorHandle* TestMatrixTensorHandleWithInput(TFE_Context* ctx,
                                                  float data[], int64_t dims[],
                                                  int num_dims);

// Get a Matrix TensorHandle with given float values and dimensions
TFE_TensorHandle* TestTensorHandleWithDimsFloat(TFE_Context* ctx, float data[],
                                                int64_t dims[], int num_dims);

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

    }

    /**
     * Encodes a float value in big-endian byte order.
     *
     * @param f the float value to encode
     * @param dst the destination byte array
     * @param di the starting index in the destination array
     * @return the number of bytes written (4)
     */
    public static int enc_floatbe(final float f, final byte[] dst, final int di) {
        return enc_uint32be(Float.floatToIntBits(f), dst, di);
    }

    /**
     * Returns a new array with the specified float value appended to the end of the float array.
     *
     * @param array
     *            the array. Must not be {@literal null}
     * @param value
     *            the value to add
     * @return a new array with the value appended
     */
    public static float[] add(final float[] array, final float value) {
        assertArgumentNotNull("array", array);

   */
  public abstract ComparisonChain compare(long left, long right);

  /**
   * Compares two {@code float} values as specified by {@link Float#compare}, <i>if</i> the result
   * of this comparison chain has not already been determined.
   */
  public abstract ComparisonChain compare(float left, float right);

  /**
   * Compares two {@code double} values as specified by {@link Double#compare}, <i>if</i> the result

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};

public abstract class FloatsMethodsForWeb {

  @JsMethod(name = "Math.min", namespace = JsPackage.GLOBAL)
  public static native float min(float... array);

  @JsMethod(name = "Math.max", namespace = JsPackage.GLOBAL)
  public static native float max(float... array);

    }

    public void setBoost_Equal(Float boost) {
        setBoost_Term(boost, null);
    }

    public void setBoost_Equal(Float boost, ConditionOptionCall<TermQueryBuilder> opLambda) {
        setBoost_Term(boost, opLambda);
    }

    public void setBoost_Term(Float boost) {
        setBoost_Term(boost, null);
    }

    public void setBoost_Term(Float boost, ConditionOptionCall<TermQueryBuilder> opLambda) {

a {
    display: block;
    float: left;
    width: 300px;
    height: 50px;
    padding: 2px;
    font-family: Verdana, sans-serif;
    font-size: 10pt;
    color: #000000;
    text-decoration: none
}
a.plain {
    display: inline;
    float: none;
    width: auto;
    height: auto
}
a.sort {
    display: block;
    float: left;
    width: 100px;
    height: 15px;
    font-family: Verdana, sans-serif;