}

		fA, okAf := a.bytesToFloat()
		fB, okBf := b.bytesToFloat()
		if okAf && okBf {
			a.setFloat(fA)
			b.setFloat(fB)
			return nil
		}

		// Check if they int and float combination.
		if okAi && okBf {
			a.setInt(iA)
			b.setFloat(fA)
			return nil
		}
		if okBi && okAf {
			a.setFloat(fA)
			b.setInt(iB)
			return nil
		}

		// Not numeric types at this point.

			case int:
				field.ReflectValueOf(ctx, value).SetFloat(float64(data))
			case int8:
				field.ReflectValueOf(ctx, value).SetFloat(float64(data))
			case int16:
				field.ReflectValueOf(ctx, value).SetFloat(float64(data))
			case int32:
				field.ReflectValueOf(ctx, value).SetFloat(float64(data))
			case uint:
				field.ReflectValueOf(ctx, value).SetFloat(float64(data))
			case uint8:

		// inferring untyped values are numbers.
		if !argVal.isNumeric() {
			if i, ok := argVal.bytesToInt(); ok {
				argVal.setInt(i)
			} else if f, ok := argVal.bytesToFloat(); ok {
				argVal.setFloat(f)
			} else {
				return errNonNumericArg(funcName)
			}
		}
	}

	// Mark that we have seen one non-null value.
	isFirstRow := false
	if !e.aggregate.seen {
		e.aggregate.seen = true

			return
		}
		switch obj.Kind() {
		case reflect.String:
			obj.SetString(obj.String() + "x")
		case reflect.Bool:
			obj.SetBool(!obj.Bool())
		case reflect.Float32, reflect.Float64:
			obj.SetFloat(obj.Float()*2.0 + 1.0)
		case reflect.Int8, reflect.Int16, reflect.Int32, reflect.Int64, reflect.Int:
			obj.SetInt(obj.Int() + 1)
		case reflect.Uint8, reflect.Uint16, reflect.Uint32, reflect.Uint64, reflect.Uint:

	}

	v := reflect.New(t).Elem()
	switch concrete := t; concrete.Kind() {
	case reflect.Bool:
		v.SetBool(rand.Int()&1 == 0)
	case reflect.Float32:
		v.SetFloat(float64(randFloat32(rand)))
	case reflect.Float64:
		v.SetFloat(randFloat64(rand))
	case reflect.Complex64:
		v.SetComplex(complex(float64(randFloat32(rand)), float64(randFloat32(rand))))
	case reflect.Complex128:

			Tag:  `json:"height"`,
		},
		{
			Name: "Age",
			Type: reflect.TypeOf(int(0)),
			Tag:  `json:"age"`,
		},
	})

	v := reflect.New(typ).Elem()
	v.Field(0).SetFloat(0.4)
	v.Field(1).SetInt(2)
	s := v.Addr().Interface()

	w := new(bytes.Buffer)
	if err := json.NewEncoder(w).Encode(s); err != nil {
		panic(err)
	}

	fmt.Printf("value: %+v\n", s)

			return err
		}
		dst.SetUint(utmp)
	case reflect.Float32, reflect.Float64:
		if len(src) == 0 {
			dst.SetFloat(0)
			return nil
		}
		ftmp, err := strconv.ParseFloat(strings.TrimSpace(string(src)), dst.Type().Bits())
		if err != nil {
			return err
		}
		dst.SetFloat(ftmp)
	case reflect.Bool:
		if len(src) == 0 {
			dst.SetBool(false)
			return nil
		}

		v.SetUint(uint64(d.uint16()))
	case reflect.Uint32:
		v.SetUint(uint64(d.uint32()))
	case reflect.Uint64:
		v.SetUint(d.uint64())

	case reflect.Float32:
		v.SetFloat(float64(math.Float32frombits(d.uint32())))
	case reflect.Float64:
		v.SetFloat(math.Float64frombits(d.uint64()))

	case reflect.Complex64:
		v.SetComplex(complex(
			float64(math.Float32frombits(d.uint32())),
			float64(math.Float32frombits(d.uint32())),

 func (v <type 1>) Set (x <type 1>);
 func (v <type 1>) SetBool (x <type -15>);
 func (v <type 1>) SetBytes (x <type 56 [] <type -20>>);
 func (v <type 1>) SetComplex (x <type -18>);
 func (v <type 1>) SetFloat (x <type -10>);
 func (v <type 1>) SetInt (x <type -4>);
 func (v <type 1>) SetLen (n <type -11>);
 func (v <type 1>) SetMapIndex (key <type 1>, val <type 1>);
 func (v <type 1>) SetUint (x <type -8>);

        issued that starts with Layer "layer-name" is casting an input tensor
        from dtype float64 to the layer's dtype of float32. To fix, either set
        the default dtype to float64 with
        `tf.keras.backend.set_floatx('float64')`, or pass `dtype='float64'` to
        each of the Layer constructors. See `tf.keras.layers.Layer` for more
        information.
    *   Some `tf.assert_*` methods now raise assertions at operation creation