return (n < factorials.length) ? factorials[n] : Long.MAX_VALUE;
  }

  static final long[] factorials = {
    1L,
    1L,
    1L * 2,
    1L * 2 * 3,
    1L * 2 * 3 * 4,
    1L * 2 * 3 * 4 * 5,
    1L * 2 * 3 * 4 * 5 * 6,
    1L * 2 * 3 * 4 * 5 * 6 * 7,
    1L * 2 * 3 * 4 * 5 * 6 * 7 * 8,
    1L * 2 * 3 * 4 * 5 * 6 * 7 * 8 * 9,
    1L * 2 * 3 * 4 * 5 * 6 * 7 * 8 * 9 * 10,

    return (n < factorials.length) ? factorials[n] : Long.MAX_VALUE;
  }

  static final long[] factorials = {
    1L,
    1L,
    1L * 2,
    1L * 2 * 3,
    1L * 2 * 3 * 4,
    1L * 2 * 3 * 4 * 5,
    1L * 2 * 3 * 4 * 5 * 6,
    1L * 2 * 3 * 4 * 5 * 6 * 7,
    1L * 2 * 3 * 4 * 5 * 6 * 7 * 8,
    1L * 2 * 3 * 4 * 5 * 6 * 7 * 8 * 9,
    1L * 2 * 3 * 4 * 5 * 6 * 7 * 8 * 9 * 10,

	}
	n, err = Sscan("234", &i, &j)
	if n != 1 || i != 234 {
		t.Errorf("Sscan expected one value of 234; got %d %d", n, i)
	}
	if err != io.EOF {
		t.Errorf("Sscan expected EOF; got %q", err)
	}
	// Trailing space is tougher.
	n, err = Sscan("234 ", &i, &j)
	if n != 1 || i != 234 {
		t.Errorf("Sscan expected one value of 234; got %d %d", n, i)
	}
	if err != io.EOF {

                      std::vector<Output>* grad_outputs) {
  // The SegmentSum operation sums segments of the Tensor that have the same
  // index in the segment_ids parameter.
  // i.e z = [2, 3, 4, 5], segment_ids [0, 0, 0, 1]
  // will produce [2 + 3 + 4, 5] = [9, 5]
  // The gradient that will flow back to the gather operation will look like
  // [x1, x2], it will have the same shape as the output of the SegmentSum

      "dev": true,
      "dependencies": {
        "hosted-git-info": "^2.1.4",
        "resolve": "^1.10.0",
        "semver": "2 || 3 || 4 || 5",
        "validate-npm-package-license": "^3.0.1"
      }
    },
    "node_modules/npm-run-all/node_modules/path-key": {
      "version": "2.0.1",

	SYS___POW_H                         = 0x928 // 2344
	SYS___POWF_H                        = 0x929 // 2345
	SYS___POWL_H                        = 0x92A // 2346
	SYS___REMAINDER_H                   = 0x92B // 2347
	SYS___RINT_H                        = 0x92C // 2348
	SYS___SCALB_H                       = 0x92D // 2349
	SYS___SIN_H                         = 0x92E // 2350

    %4 = "tf.D"(%2, %3) : (tensor<f32>, tensor<f32>) -> (tensor<f32>)
    %5 = "tf.D"(%2, %3, %4) : (tensor<f32>, tensor<f32>, tensor<f32>) -> (tensor<f32>)
    %6 = "tf.D"(%2, %3, %4, %5) : (tensor<f32>, tensor<f32>, tensor<f32>, tensor<f32>) -> (tensor<f32>)
    %7 = "tf.D"(%2, %3, %4, %5, %6) : (tensor<f32>, tensor<f32>, tensor<f32>, tensor<f32>, tensor<f32>) -> (tensor<f32>)

  %4 = "tf.AddN"(%1, %1) : (tensor<2xf32>, tensor<2xf32>) -> tensor<2xf32>
  %5 = "tf.AddN"(%arg0, %1, %0) : (tensor<2xf32>, tensor<2xf32>, tensor<2xf32>) -> tensor<2xf32>
  func.return %2, %3, %4, %5: tensor<2xf32>, tensor<2xf32>, tensor<2xf32>, tensor<2xf32>
}

// CHECK-LABEL: func @addNWithZerosInt
func.func @addNWithZerosInt(%arg0: tensor<2xi32>) -> (tensor<2xi32>, tensor<2xi32>, tensor<2xi32>, tensor<2xi32>) {

}

func TestOutboundListenerRoute(t *testing.T) {
	testOutboundListenerRoute(t,
		buildService("test1.com", "1.2.3.4", "unknown", tnow.Add(1*time.Second)),
		buildService("test2.com", "2.3.4.5", protocol.HTTP, tnow),
		buildService("test3.com", "3.4.5.6", "unknown", tnow.Add(2*time.Second)))
}

func TestOutboundListenerConfig_WithSidecar(t *testing.T) {
	// Add a service and verify it's config

	return in, out
}


func min(xs []uint64) uint64 {
	m := xs[0]
	for i := 1; i < len(xs); i++ {
		if xs[i] < m {
			m = xs[i]
		}
	}
	return m
}


func main() {
	F := []uint64{2, 3, 5}
	var n = len(F)
	OUT := []uint64{
		2, 3, 4, 5, 6, 8, 9, 10, 12, 15, 16, 18, 20, 24, 25, 27, 30, 32, 36,
		40, 45, 48, 50, 54, 60, 64, 72, 75, 80, 81, 90, 96, 100, 108, 120, 125,