}

    private static Float toFloat(final String s) {
        if (StringUtil.isEmpty(s)) {
            return null;
        }
        return Float.valueOf(DecimalFormatUtil.normalize(s));
    }

    /**
     * Converts to {@literal float}.
     *
     * @param o
     *            The object to convert
     * @return The converted {@literal float}
     */
    public static float toPrimitiveFloat(final Object o) {

    @Override
    protected List<Float> create(Float[] elements) {
      return asList(elements);
    }
  }

  public static final class FloatsAsListHeadSubListGenerator extends TestFloatListGenerator {
    @Override
    protected List<Float> create(Float[] elements) {
      Float[] suffix = {Float.MIN_VALUE, Float.MAX_VALUE};
      Float[] all = concat(elements, suffix);

    @Override
    protected List<Float> create(Float[] elements) {
      return asList(elements);
    }
  }

  public static final class FloatsAsListHeadSubListGenerator extends TestFloatListGenerator {
    @Override
    protected List<Float> create(Float[] elements) {
      Float[] suffix = {Float.MIN_VALUE, Float.MAX_VALUE};
      Float[] all = concat(elements, suffix);

  }

  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() {

def get_path_param_gt(item_id: float = Path(gt=3)):
    return item_id


@app.get("/path/param-gt0/{item_id}")
def get_path_param_gt0(item_id: float = Path(gt=0)):
    return item_id


@app.get("/path/param-ge/{item_id}")
def get_path_param_ge(item_id: float = Path(ge=3)):
    return item_id


@app.get("/path/param-lt/{item_id}")
def get_path_param_lt(item_id: float = Path(lt=3)):
    return item_id

  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;

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);

        Term term = new Term("title", "fuzzy");
        FuzzyQuery fuzzyQuery = new FuzzyQuery(term);

        // Test with different boost values
        float[] boostValues = { 0.5f, 1.0f, 2.5f, 10.0f };
        for (float boost : boostValues) {
            QueryBuilder result = queryProcessor.execute(context, fuzzyQuery, boost);
            assertNotNull(result);

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;

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};