<pre>
const (
	c1 = imag(2i)                    // imag(2i) = 2.0 is a constant
	c2 = len([10]float64{2})         // [10]float64{2} contains no function calls
	c3 = len([10]float64{c1})        // [10]float64{c1} contains no function calls
	c4 = len([10]float64{imag(2i)})  // imag(2i) is a constant and no function call is issued
	c5 = len([10]float64{imag(z)})   // invalid: imag(z) is a (non-constant) function call
)
var z complex128
</pre>

			case uint:
				field.ReflectValueOf(ctx, value).SetFloat(float64(data))
			case uint8:
				field.ReflectValueOf(ctx, value).SetFloat(float64(data))
			case uint16:
				field.ReflectValueOf(ctx, value).SetFloat(float64(data))
			case uint32:
				field.ReflectValueOf(ctx, value).SetFloat(float64(data))
			case uint64:
				field.ReflectValueOf(ctx, value).SetFloat(float64(data))
			case []byte:

		}
	case obj.TYPE_FCONST:
		switch sz {
		case 4:
			nameAddr.Sym.WriteFloat32(p.ctxt, nameAddr.Offset, float32(valueAddr.Val.(float64)))
		case 8:
			nameAddr.Sym.WriteFloat64(p.ctxt, nameAddr.Offset, valueAddr.Val.(float64))
		default:
			p.errorf("bad float size for DATA argument: %d", sz)
		}
	case obj.TYPE_SCONST:

		case '^':
			p.next()
			value ^= p.term()
		default:
			return value
		}
	}
}

// floatExpr = fconst | '-' floatExpr | '+' floatExpr | '(' floatExpr ')'
func (p *Parser) floatExpr() float64 {
	tok := p.next()
	switch tok.ScanToken {
	case '(':
		v := p.floatExpr()
		if p.next().ScanToken != ')' {
			p.errorf("missing closing paren")
		}
		return v
	case '+':

        probably silently use `float32` in TensorFlow2, and a warning will be
        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

Example

As a simple example, consider a package that uses cgo to call C.sin.
The following code will be generated by cgo:

	// compiled by gc

	//go:cgo_ldflag "-lm"

	type _Ctype_double float64

	//go:cgo_import_static _cgo_gcc_Cfunc_sin
	//go:linkname __cgo_gcc_Cfunc_sin _cgo_gcc_Cfunc_sin
	var __cgo_gcc_Cfunc_sin byte
	var _cgo_gcc_Cfunc_sin = unsafe.Pointer(&__cgo_gcc_Cfunc_sin)

- Fixed a bug in the `NestedNumberAsFloat64` Unstructured field accessor that could have caused it to return rounded float64 values instead of errors when accessing very large int64 values. ([#128099](https://github.com/kubernetes/kubernetes/pull/128099), [@benluddy](https://github.com/benluddy))

 } // quickCheckConfig returns a quick.Config that scales the max count by the // given factor if the -short flag is not set. func quickCheckConfig(slowScale int) *quick.Config { cfg := new(quick.Config) if !testing.Short() { cfg.MaxCountScale = float64(slowScale) } return cfg } func generateFieldElement(rand *mathrand.Rand) Element { const maskLow52Bits = (1 << 52) - 1 return Element{ rand.Uint64() & maskLow52Bits, rand.Uint64() & maskLow52Bits, rand.Uint64() & maskLow52Bits, rand.Uint64() & maskLow52Bits,...