c := a * b
	return c, c/b == a
}

// int64MultiplyScale10 multiplies a by 10, or returns false if that would overflow. This method is faster than
// int64Multiply(a, 10) because the compiler can optimize constant factor multiplication.
func int64MultiplyScale10(a int64) (int64, bool) {
	if a == 0 || a == 1 {
		return a * 10, true
	}
	if a == mostNegative {
		return 0, false
	}
	c := a * 10
	return c, c/10 == a
}

// register is 128-bits wide and so holds 2 of these elements.
// Using 26-bit limbs allows us plenty of headroom to accommodate
// accumulations before and after multiplication without
// overflowing either 32-bits (before multiplication) or 64-bits
// (after multiplication).
//
// In order to parallelise the operations required to calculate
// the sum we use two separate accumulators and then sum those

    %4:2 = tf_executor.island wraps "tf.Mul"(%2#1, %2#1) {T = "tfdtype$DT_INT32"} : (tensor<i32>, tensor<i32>) -> tensor<i32> loc("Multiplication")
    %5:3 = tf_executor.Merge %3#0, %4#0 : tensor<i32> {device = "", N = 2, T = "tfdtype$DT_INT32"} loc("Merge")
    tf_executor.fetch
  }
  func.return
}

	// may be a nonzero exponent exp. The radix point amounts to a
	// division by b**(-fcount). An exponent means multiplication by
	// ebase**exp. Finally, mantissa normalization (shift left) requires
	// a correcting multiplication by 2**(-shiftcount). Multiplications
	// are commutative, so we can apply them in any order as long as there
	// is no loss of precision. We only have powers of 2 and 10, and

// license that can be found in the LICENSE file.

package math

import "internal/goarch"

const MaxUintptr = ^uintptr(0)

// MulUintptr returns a * b and whether the multiplication overflowed.
// On supported platforms this is an intrinsic lowered by the compiler.
func MulUintptr(a, b uintptr) (uintptr, bool) {
	if a|b < 1<<(4*goarch.PtrSize) || a == 0 {
		return a * b, false
	}

// run

// Copyright 2010 The Go Authors. All rights reserved.
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.

// Test arithmetic on complex numbers, including multiplication and division.

package main

const (
	R = 5
	I = 6i

	C1 = R + I    // ADD(5,6)
	C2 = R - I    // SUB(5,-6)
	C3 = -(R + I) // ADD(5,6) NEG(-5,-6)
	C4 = -(R - I) // SUB(5,-6) NEG(-5,6)

      if (x.length() != (originalString.length() * count)) {
        throw new RuntimeException("Wrong length: " + x);
      }
    }
  }

  private static String oldRepeat(String string, int count) {
    // If this multiplication overflows, a NegativeArraySizeException or
    // OutOfMemoryError is not far behind
    final int len = string.length();
    final int size = len * count;
    char[] array = new char[size];

      long result = 1;
      for (int i = n1 + 1; i <= n2; i++) {
        result *= i;
      }
      return BigInteger.valueOf(result);
    }

    /*
     * We want each multiplication to have both sides with approximately the same number of digits.
     * Currently, we just divide the range in half.
     */
    int mid = (n1 + n2) >>> 1;

}

var basepointTablePrecomp struct {
	table    [32]affineLookupTable
	initOnce sync.Once
}

// ScalarBaseMult sets v = x * B, where B is the canonical generator, and
// returns v.
//
// The scalar multiplication is done in constant time.
func (v *Point) ScalarBaseMult(x *Scalar) *Point {
	basepointTable := basepointTable()

	// Write x = sum(x_i * 16^i) so  x*B = sum( B*x_i*16^i )
	// as described in the Ed25519 paper
	//

      if (x.length() != (originalString.length() * count)) {
        throw new RuntimeException("Wrong length: " + x);
      }
    }
  }

  private static String oldRepeat(String string, int count) {
    // If this multiplication overflows, a NegativeArraySizeException or
    // OutOfMemoryError is not far behind
    final int len = string.length();
    final int size = len * count;
    char[] array = new char[size];