math/big: use built-in clear to simplify code

src/math/big/int.go

@@ -533,10 +533,8 @@ func (x *Int) Bytes() []byte {
 //
 // If the absolute value of x doesn't fit in buf, FillBytes will panic.
 func (x *Int) FillBytes(buf []byte) []byte {
-	// Clear whole buffer. (This gets optimized into a memclr.)
-	for i := range buf {
-		buf[i] = 0
-	}
+	// Clear whole buffer.
+	clear(buf)
 	x.abs.bytes(buf)
 	return buf
 }

src/math/big/nat.go

@@ -44,12 +44,6 @@ func (z nat) String() string {
 	return "0x" + string(z.itoa(false, 16))
 }
 
-func (z nat) clear() {
-	for i := range z {
-		z[i] = 0
-	}
-}
-
 func (z nat) norm() nat {
 	i := len(z)
 	for i > 0 && z[i-1] == 0 {
@@ -196,7 +190,7 @@ func (z nat) mulAddWW(x nat, y, r Word) nat {
 // basicMul multiplies x and y and leaves the result in z.
 // The (non-normalized) result is placed in z[0 : len(x) + len(y)].
 func basicMul(z, x, y nat) {
-	z[0 : len(x)+len(y)].clear() // initialize z
+	clear(z[0 : len(x)+len(y)]) // initialize z
 	for i, d := range y {
 		if d != 0 {
 			z[len(x)+i] = addMulVVW(z[i:i+len(x)], x, d)
@@ -222,7 +216,7 @@ func (z nat) montgomery(x, y, m nat, k Word, n int) nat {
 		panic("math/big: mismatched montgomery number lengths")
 	}
 	z = z.make(n * 2)
-	z.clear()
+	clear(z)
 	var c Word
 	for i := 0; i < n; i++ {
 		d := y[i]
@@ -443,8 +437,8 @@ func (z nat) mul(x, y nat) nat {
 	y0 := y[0:k]              // y0 is not normalized
 	z = z.make(max(6*k, m+n)) // enough space for karatsuba of x0*y0 and full result of x*y
 	karatsuba(z, x0, y0)
-	z = z[0 : m+n]  // z has final length but may be incomplete
-	z[2*k:].clear() // upper portion of z is garbage (and 2*k <= m+n since k <= n <= m)
+	z = z[0 : m+n] // z has final length but may be incomplete
+	clear(z[2*k:]) // upper portion of z is garbage (and 2*k <= m+n since k <= n <= m)
 
 	// If xh != 0 or yh != 0, add the missing terms to z. For
 	//
@@ -497,7 +491,7 @@ func basicSqr(z, x nat) {
 	n := len(x)
 	tp := getNat(2 * n)
 	t := *tp // temporary variable to hold the products
-	t.clear()
+	clear(t)
 	z[1], z[0] = mulWW(x[0], x[0]) // the initial square
 	for i := 1; i < n; i++ {
 		d := x[i]
@@ -592,7 +586,7 @@ func (z nat) sqr(x nat) nat {
 	z = z.make(max(6*k, 2*n))
 	karatsubaSqr(z, x0) // z = x0^2
 	z = z[0 : 2*n]
-	z[2*k:].clear()
+	clear(z[2*k:])
 
 	if k < n {
 		tp := getNat(2 * k)
@@ -723,7 +717,7 @@ func (z nat) shl(x nat, s uint) nat {
 	n := m + int(s/_W)
 	z = z.make(n + 1)
 	z[n] = shlVU(z[n-m:n], x, s%_W)
-	z[0 : n-m].clear()
+	clear(z[0 : n-m])
 
 	return z.norm()
 }
@@ -769,7 +763,7 @@ func (z nat) setBit(x nat, i uint, b uint) nat {
 	case 1:
 		if j >= n {
 			z = z.make(j + 1)
-			z[n:].clear()
+			clear(z[n:])
 		} else {
 			z = z.make(n)
 		}

src/math/big/natdiv.go

@@ -734,7 +734,7 @@ func (z nat) divRecursive(u, v nat) {
 	tmp := getNat(3 * len(v))
 	temps := make([]*nat, recDepth)
 
-	z.clear()
+	clear(z)
 	z.divRecursiveStep(u, v, 0, tmp, temps)
 
 	// Free temporaries.
@@ -758,7 +758,7 @@ func (z nat) divRecursiveStep(u, v nat, depth int, tmp *nat, temps []*nat) {
 	u = u.norm()
 	v = v.norm()
 	if len(u) == 0 {
-		z.clear()
+		clear(z)
 		return
 	}
 
@@ -816,7 +816,7 @@ func (z nat) divRecursiveStep(u, v nat, depth int, tmp *nat, temps []*nat) {
 
 		// Compute the 2-by-1 guess q̂, leaving r̂ in uu[s:B+n].
 		qhat := *temps[depth]
-		qhat.clear()
+		clear(qhat)
 		qhat.divRecursiveStep(uu[s:B+n], v[s:], depth+1, tmp, temps)
 		qhat = qhat.norm()
 
@@ -833,7 +833,7 @@ func (z nat) divRecursiveStep(u, v nat, depth int, tmp *nat, temps []*nat) {
 		// But we can do the subtraction directly, as in the comment above
 		// and in long division, because we know that q̂ is wrong by at most one.
 		qhatv := tmp.make(3 * n)
-		qhatv.clear()
+		clear(qhatv)
 		qhatv = qhatv.mul(qhat, v[:s])
 		for i := 0; i < 2; i++ {
 			e := qhatv.cmp(uu.norm())
@@ -864,11 +864,11 @@ func (z nat) divRecursiveStep(u, v nat, depth int, tmp *nat, temps []*nat) {
 	// Choose shift = B-1 again.
 	s := B - 1
 	qhat := *temps[depth]
-	qhat.clear()
+	clear(qhat)
 	qhat.divRecursiveStep(u[s:].norm(), v[s:], depth+1, tmp, temps)
 	qhat = qhat.norm()
 	qhatv := tmp.make(3 * n)
-	qhatv.clear()
+	clear(qhatv)
 	qhatv = qhatv.mul(qhat, v[:s])
 	// Set the correct remainder as before.
 	for i := 0; i < 2; i++ {