def test_determinant_computing(self):
process = cramer.Cramer('test_2.csv')
process.check_if_cramers_rule_assumptions_are_met()
assert process.matrix_determinant == -2
process = cramer.Cramer('test_1.csv')
process.check_if_cramers_rule_assumptions_are_met()
assert process.matrix_determinant == 9
def test_check_if_matrix_is_n_dimensional_square_matrix(self):
process = cramer.Cramer('test_1.csv')
assert process._check_if_matrix_is_square() is True
assert process.matrix_dimension == 3
assert process.unknowns == {'x', 'y', 'z'}
process = cramer.Cramer('test_2.csv')
assert process._check_if_matrix_is_square() is True
assert process.matrix_dimension == 4
assert process.unknowns == {'w', 'x', 'y', 'z'}
def test_open_file_and_create_data(self):
process = cramer.Cramer('test_1.csv')
assert process.file_name == 'test_1.csv'
assert process.raw_data == {
0: {
'x': '2',
'y': '5',
'z': '3',
's': '5'
},
1: {
'x': '4',
'y': '2',
'z': '5',
's': '4'
},
2: {
'x': '3',
'y': '8',
'z': '4',
's': '9'
},
}
assert process.data == {
0: {
'x': '2',
'y': '5',
'z': '3'
},
1: {
'x': '4',
'y': '2',
'z': '5'
},
2: {
'x': '3',
'y': '8',
'z': '4'
},
}
def test_finding_determinants_for_parameters(self):
process = cramer.Cramer('test_1.csv')
process.solve()
assert process.matrix_determinant == 9
def test_if_cramers_rule_can_be_applied(
self
): # expand test cases with data that do not meet Cramer's assumptions
process = cramer.Cramer('test_2.csv')
assert process.check_if_cramers_rule_assumptions_are_met() is True
def test_determinant_is_not_zero(
self): # rebuild test to check if determinant IS zero
process = cramer.Cramer('test_2.csv')
process._check_if_matrix_is_square()
assert process._check_if_determinant_is_not_zero() is True
assert process.matrix_determinant == -2
def test_check_non_square_matrix(self):
process = cramer.Cramer('wrong.csv')
with pytest.raises(Exception):
process._check_if_matrix_is_square()
def test_creating_subarrays(self):
process = cramer.Cramer('test_1.csv')
assert process.sums == [5, 4, 9]
