}

// Return a tensor handle containing a 100x100 matrix of floats
TFE_TensorHandle* TestMatrixTensorHandle100x100(TFE_Context* ctx);

// Return a tensor handle containing a 3x2 matrix of doubles
TFE_TensorHandle* DoubleTestMatrixTensorHandle3X2(TFE_Context* ctx);

// Return a tensor handle containing a 3x2 matrix of floats
TFE_TensorHandle* TestMatrixTensorHandle3X2(TFE_Context* ctx);

        return l;
    }


    /*
     * Encode floats
     */

    public static int enc_floatle ( float f, byte[] dst, int di ) {
        return enc_uint32le(Float.floatToIntBits(f), dst, di);
    }


    public static int enc_floatbe ( float f, byte[] dst, int di ) {
        return enc_uint32be(Float.floatToIntBits(f), dst, di);
    }


    /*

    List<Byte> bytes = Arrays.asList((byte) 0, (byte) 1, (byte) 2);
    List<Short> shorts = Arrays.asList((short) 0, (short) 1, (short) 2);
    List<Integer> ints = Arrays.asList(0, 1, 2);
    List<Float> floats = Arrays.asList((float) 0, (float) 1, (float) 2);
    List<Long> longs = Arrays.asList((long) 0, (long) 1, (long) 2);
    List<Double> doubles = Arrays.asList((double) 0, (double) 1, (double) 2);

pkg runtime/metrics, const KindUint64 = 1
pkg runtime/metrics, const KindUint64 ValueKind
pkg runtime/metrics, func All() []Description
pkg runtime/metrics, func Read([]Sample)
pkg runtime/metrics, method (Value) Float64() float64
pkg runtime/metrics, method (Value) Float64Histogram() *Float64Histogram
pkg runtime/metrics, method (Value) Kind() ValueKind
pkg runtime/metrics, method (Value) Uint64() uint64

    List<Byte> bytes = Arrays.asList((byte) 0, (byte) 1, (byte) 2);
    List<Short> shorts = Arrays.asList((short) 0, (short) 1, (short) 2);
    List<Integer> ints = Arrays.asList(0, 1, 2);
    List<Float> floats = Arrays.asList((float) 0, (float) 1, (float) 2);
    List<Long> longs = Arrays.asList((long) 0, (long) 1, (long) 2);
    List<Double> doubles = Arrays.asList((double) 0, (double) 1, (double) 2);

        return l;
    }

    /* Encode floats
     */

    public static int enc_floatle( float f, byte[] dst, int di )
    {
        return enc_uint32le( Float.floatToIntBits( f ), dst, di );
    }
    public static int enc_floatbe( float f, byte[] dst, int di )
    {
        return enc_uint32be( Float.floatToIntBits( f ), dst, di );
    }

    /* Decode floating point numbers

    List<Byte> bytes = Arrays.asList((byte) 0, (byte) 1, (byte) 2);
    List<Short> shorts = Arrays.asList((short) 0, (short) 1, (short) 2);
    List<Integer> ints = Arrays.asList(0, 1, 2);
    List<Float> floats = Arrays.asList((float) 0, (float) 1, (float) 2);
    List<Long> longs = Arrays.asList((long) 0, (long) 1, (long) 2);
    List<Double> doubles = Arrays.asList((double) 0, (double) 1, (double) 2);

  values[0] = v;
  return TF_NewTensor(TF_DOUBLE, nullptr, 0, values, num_bytes,
                      &DoubleDeallocator, nullptr);
}

TF_Tensor* FloatTensor(float v) {
  const int num_bytes = sizeof(float);
  float* values = new float[1];
  values[0] = v;
  return TF_NewTensor(TF_FLOAT, nullptr, 0, values, num_bytes,
                      &FloatDeallocator, nullptr);
}

///

```Python hl_lines="9"
{!> ../../docs_src/path_params_numeric_validations/tutorial005.py!}
```

////

## Number validations: floats, greater than and less than

Number validations also work for `float` values.

  private static long hashLength33To64(byte[] bytes, int offset, int length) {
    long z = load64(bytes, offset + 24);
    long a = load64(bytes, offset) + (length + load64(bytes, offset + length - 16)) * K0;
    long b = rotateRight(a + z, 52);
    long c = rotateRight(a, 37);
    a += load64(bytes, offset + 8);
    c += rotateRight(a, 7);
    a += load64(bytes, offset + 16);
    long vf = a + z;
    long vs = b + rotateRight(a, 31) + c;