def test_sample_evaluations_with_moving_average(sample_data):
sample_line = "moving_average(high, 5) > close"
result = evaluate_line(sample_data, sample_line)
assert isinstance(result, pd.Series)
assert result.any()
def test_evaluation_with_and(sample_data):
sample_line = "(year == 2019) & (year == 2019)"
result = evaluate_line(sample_data, sample_line)
assert isinstance(result, pd.Series)
assert result.all()
def test_sample_evaluations_with_functions(sample_data):
sample_line = "highest(high, 5) == 0"
result = evaluate_line(sample_data, sample_line)
assert isinstance(result, pd.Series)
assert ~result.any()
def test_sample_line_evaluations_with_mul(sample_data):
sample_line = "high * 0 == 0"
result = evaluate_line(sample_data, sample_line)
assert isinstance(result, pd.Series)
assert result.all()
def test_sample_line_evaluations_equality_when_same_shift(sample_data):
sample_line = "high[5] == high[5]"
result = evaluate_line(sample_data, sample_line)
assert isinstance(result, pd.Series)
assert result.iloc[5:].all()
def test_sample_line_evaluations_with_shift(sample_data):
sample_line = "high > open[5]"
result = evaluate_line(sample_data, sample_line)
assert isinstance(result, pd.Series)
def test_sample_line_evaluations(sample_data):
sample_line = "close > open"
result = evaluate_line(sample_data, sample_line)
assert isinstance(result, pd.Series)