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;

    }

    /*
     * Decode floating point numbers
     */

    /**
     * Decodes a float value from little-endian byte order.
     *
     * @param src the source byte array
     * @param si the starting index in the source array
     * @return the decoded float value
     */
    public static float dec_floatle(final byte[] src, final int si) {

	VFMULVV		X10, V2, V3			// ERROR "expected vector register in vs1 position"
	VFMULVF		X10, V2, V3			// ERROR "expected float register in rs1 position"
	VFDIVVV		X10, V2, V3			// ERROR "expected vector register in vs1 position"
	VFDIVVF		X10, V2, V3			// ERROR "expected float register in rs1 position"
	VFRDIVVF	X10, V2, V3			// ERROR "expected float register in rs1 position"

    }

    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) {

        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);

#include "tensorflow/core/platform/tstring.h"
#include "tensorflow/core/platform/types.h"
#include "tensorflow/core/protobuf/tensorflow_server.pb.h"

// Return a tensor handle containing a float scalar
TFE_TensorHandle* TestScalarTensorHandle(TFE_Context* ctx, float value);

// Return a tensor handle containing a int scalar
TFE_TensorHandle* TestScalarTensorHandle(TFE_Context* ctx, int value);

// Return a tensor handle containing a bool scalar

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};

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(

pkg math/big, method (*Float) Mode() RoundingMode
pkg math/big, method (*Float) Mul(*Float, *Float) *Float
pkg math/big, method (*Float) Neg(*Float) *Float
pkg math/big, method (*Float) Parse(string, int) (*Float, int, error)
pkg math/big, method (*Float) Prec() uint
pkg math/big, method (*Float) Quo(*Float, *Float) *Float
pkg math/big, method (*Float) Rat(*Rat) (*Rat, Accuracy)
pkg math/big, method (*Float) Set(*Float) *Float