def test_logical_or(self):
tpl_exp = TupleValueExpression(0)
const_exp = ConstantValueExpression(1)
comparison_expression_left = ComparisonExpression(
ExpressionType.COMPARE_EQUAL, tpl_exp, const_exp)
tpl_exp = TupleValueExpression(0)
const_exp = ConstantValueExpression(1)
comparison_expression_right = ComparisonExpression(
ExpressionType.COMPARE_GREATER, tpl_exp, const_exp)
logical_expr = LogicalExpression(ExpressionType.LOGICAL_OR,
comparison_expression_left,
comparison_expression_right)
frame_1 = Frame(1, np.ones((1, 1)), None)
frame_2 = Frame(2, 2 * np.ones((1, 1)), None)
frame_3 = Frame(3, 3 * np.ones((1, 1)), None)
input_batch = FrameBatch(frames=[
frame_1,
frame_2,
frame_3,
],
info=None)
expected_value = [[True], [True], [True]]
output_value = logical_expr.evaluate(input_batch)
self.assertEqual(expected_value, output_value)
def test_logical_or(self):
const_exp1 = ConstantValueExpression(1)
const_exp2 = ConstantValueExpression(1)
comparison_expression_left = ComparisonExpression(
ExpressionType.COMPARE_EQUAL,
const_exp1,
const_exp2
)
const_exp1 = ConstantValueExpression(1)
const_exp2 = ConstantValueExpression(2)
comparison_expression_right = ComparisonExpression(
ExpressionType.COMPARE_GREATER,
const_exp1,
const_exp2
)
logical_expr = LogicalExpression(
ExpressionType.LOGICAL_OR,
comparison_expression_left,
comparison_expression_right
)
self.assertEqual(
[True],
logical_expr.evaluate(None).frames[0].tolist()
)
def test_short_circuiting_or_partial(self):
# tests whether right-hand side is partially executed with or
tup_val_exp_l = TupleValueExpression(col_name=0)
tup_val_exp_r = TupleValueExpression(col_name=1)
comp_exp_l = ComparisonExpression(
ExpressionType.COMPARE_EQUAL,
tup_val_exp_l,
tup_val_exp_r
)
comp_exp_r = Mock(spec=ComparisonExpression)
comp_exp_r.evaluate = Mock(return_value=Mock(frames=[[True], [False]]))
logical_exp = LogicalExpression(
ExpressionType.LOGICAL_OR,
comp_exp_l,
comp_exp_r
)
tuples = Batch(pd.DataFrame(
{0: [1, 2, 3, 4], 1: [5, 6, 3, 4]}))
self.assertEqual(
[True, False, True, True],
logical_exp.evaluate(tuples).frames[0].tolist()
)
comp_exp_r.evaluate.assert_called_once_with(tuples, mask=[0, 1])
def test_short_circuiting_or_complete(self):
# tests whether right-hand side is bypassed completely with or
tup_val_exp_l = TupleValueExpression(col_name=0)
tup_val_exp_r = TupleValueExpression(col_name=1)
comp_exp_l = ComparisonExpression(
ExpressionType.COMPARE_EQUAL,
tup_val_exp_l,
tup_val_exp_r
)
comp_exp_r = Mock(spec=ComparisonExpression)
logical_exp = LogicalExpression(
ExpressionType.LOGICAL_OR,
comp_exp_l,
comp_exp_r
)
tuples = Batch(pd.DataFrame(
{0: [1, 2, 3], 1: [1, 2, 3]}))
self.assertEqual(
[True, True, True],
logical_exp.evaluate(tuples).frames[0].tolist()
)
comp_exp_r.evaluate.assert_not_called()
def test_logical_not(self):
const_exp1 = ConstantValueExpression(0)
const_exp2 = ConstantValueExpression(1)
comparison_expression_right = ComparisonExpression(
ExpressionType.COMPARE_GREATER, const_exp1, const_exp2)
logical_expr = LogicalExpression(ExpressionType.LOGICAL_NOT, None,
comparison_expression_right)
self.assertEqual([True], logical_expr.evaluate(None))
def test_logical_not(self):
tpl_exp = TupleValueExpression(0)
const_exp = ConstantValueExpression(1)
comparison_expression_right = ComparisonExpression(
ExpressionType.COMPARE_GREATER, tpl_exp, const_exp)
logical_expr = LogicalExpression(ExpressionType.LOGICAL_NOT, None,
comparison_expression_right)
tuple1 = [[1], 2, 3]
self.assertEqual([True], logical_expr.evaluate(tuple1, None))
