t.Fatalf("error copying %s: %v", file, err)
		}
	}

	want := []devirtualization{
		// ExerciseIface
		{
			pos:    "./devirt.go:101:20",
			callee: "mult.Mult.Multiply",
		},
		{
			pos:    "./devirt.go:101:39",
			callee: "Add.Add",
		},
		// ExerciseFuncConcrete
		{
			pos:    "./devirt.go:173:36",
			callee: "AddFn",
		},
		{

                        Multiplier multiplier = new Multiplier();
                        Assert.assertEquals(1, multiplier.multiply(1, 1));
                        Assert.assertEquals(4, multiplier.multiply(2, 2));
                        Assert.assertEquals(2, multiplier.multiply(1, 2));
                    }
                }
            """
            file("transitive/build.gradle") << """

  // CHECK: %[[X_CENTER:.+]] = mhlo.subtract %[[X]], %[[MEAN_BCAST]] : tensor<4x256xf32>
  // CHECK: %[[X_SCALED:.+]] = mhlo.multiply %[[X_CENTER]], %[[SCALE_BCAST]] : tensor<4x256xf32>
  // CHECK: %[[X_NORMED:.+]] = mhlo.divide %[[X_SCALED]], %[[STDDEV_BCAST]] : tensor<4x256xf32>

        }
        return new Amount<>(units.scaleTo(value, other.units).subtract(other.value), other.units);
    }

    public Amount<Q> multiply(BigDecimal other) {
        return new Amount<>(value.multiply(other), units);
    }

    public Amount<Q> div(long other) {
        return div(BigDecimal.valueOf(other));
    }
    public Amount<Q> div(BigDecimal other) {

  %10 = mhlo.add %arg0, %5 : tensor<2xf32>
  %11 = mhlo.clamp %7, %10, %3 : tensor<2xf32>
  %12 = mhlo.clamp %9, %11, %1 : tensor<2xf32>
  %13 = mhlo.multiply %arg0, %12 : tensor<2xf32>
  %14 = mhlo.divide %13, %1 : tensor<2xf32>
  return %14 : tensor<2xf32>
}

// CHECK-LABEL:   func.func @hardswish(

// It also runs ssa/check and gccheck to be sure that those are checked at least a
// little in each run.bash.  It does not check or run the generated code.
// The test file is however a useful example of fused-vs-cascaded multiply-add.
func TestFmaHash(t *testing.T) {
	switch runtime.GOOS {
	case "linux", "darwin":
	default:
		t.Skipf("Slow test, usually avoid it, os=%s not linux or darwin", runtime.GOOS)
	}
	switch runtime.GOARCH {

// CHECK-NEXT:    %0 = stablehlo.custom_call @Sharding(%arg0) {mhlo.sharding = ""} : (tensor<2x3xi32>) -> tensor<2x3xi32>
// CHECK-NEXT:    %1 = stablehlo.multiply %0, %0 : tensor<2x3xi32>
// CHECK-NEXT:    return %1 : tensor<2x3xi32>
// CHECK-NEXT:  }

  // expected-error @+1 {{Node `mhlo.dynamic_iota` must have compile-time constant}}
  %3 = "mhlo.dynamic_iota"(%2) <{iota_dimension = 0 : i64}> : (tensor<1xi64>) -> tensor<?xi32>
  %4 = mhlo.multiply %3, %3 : tensor<?xi32>
  return %4 : tensor<?xi32>

        if (flakinessRate == null || baseDuration == null) {
            return baseDuration;
        }
        return baseDuration + flakinessRate.multiply(BigDecimal.valueOf(baseDuration)).longValue();
    }

  // CHECK: %[[CONSTANT2:.*]] = stablehlo.constant dense<1.000000e+03> : tensor<1024x3xf32>
  // CHECK: %[[ADD:.*]] = stablehlo.add %[[INPUT1]], %[[CONSTANT2]] : tensor<1024x3xf32>
  // CHECK: %[[MUL:.*]] = stablehlo.multiply %[[INPUT1]], %[[INPUT2]] : tensor<1024x3xf32>
  // CHECK: return %[[ADD]], %[[MUL]]
  // CHECK: }

  // CHECK: @serving_default