package application;

                import org.junit.Assert;
                import org.junit.Test;

                public class AdderTest {
                    @Test
                    public void testAdd() {
                        Adder adder = new Adder();
                        Assert.assertEquals(2, adder.add(1, 1));
                        Assert.assertEquals(4, adder.add(2, 2));

		a := test.a.DeepCopy()
		a.Neg()
		// ensure value is same
		if a.Cmp(test.expected) != 0 {
			t.Errorf("[%d] Expected %q, got %q", i, test.expected.String(), a.String())
		}
	}
}

func TestAdd(t *testing.T) {
	tests := []struct {
		a        Quantity
		b        Quantity
		expected Quantity
	}{
		{decQuantity(10, 0, DecimalSI), decQuantity(1, 1, DecimalSI), decQuantity(20, 0, DecimalSI)},

  %0 = "tfl.logical_not"(%arg0) : (tensor<? x i32>) -> tensor<? x i32>
  func.return %0 : tensor<? x i32>
}

// Binary math ops
// -----

// CHECK-LABEL: testAdd
func.func @testAdd(tensor<? x i32>, tensor<? x i32>) -> tensor<? x i32> {
^bb0(%arg0: tensor<? x i32>, %arg1: tensor<? x i32>):
  // TODO(jpienaar): Enable specifying label of enum for parsing.

}

// -----

// TODO(hinsu): Move this to MLIR core once the test dialect have a custom type.

// Check that broadcastable trait accepts TF specific element type
// CHECK-LABEL: func @testAdd
func.func @testAdd(%arg0: tensor<4x2x!tf_type.string>, %arg1: tensor<2x!tf_type.string>) -> tensor<4x2x!tf_type.string> {
  %0 = "tf.Add"(%arg0, %arg1) : (tensor<4x2x!tf_type.string>, tensor<2x!tf_type.string>) -> tensor<4x2x!tf_type.string>