def test_ordering(self):
expected = [[2, 1], [1, 2, 2, 0], [1, 1], [2, 1, 0], [0, 2, 0]]
test = [[0, 2, 0], [1, 2, 2, 0], [2, 1, 0], [2, 1], [1, 1]]
# Sort test using the max normalised score
result = sorted(test, key=lambda x: calculate_max_normalised_score(x),
reverse=True)
assert expected == result
def test_ordering(self):
expected = [[2, 1], [1, 2, 2, 0], [1, 1], [2, 1, 0], [0, 2, 0]]
test = [[0, 2, 0], [1, 2, 2, 0], [2, 1, 0], [2, 1], [1, 1]]
# Sort test using the max normalised score
result = sorted(test,
key=lambda x: calculate_max_normalised_score(x),
reverse=True)
assert expected == result
def test_calculate_max_normalised_score(self):
def assert_within_delta(test, expected):
result = calculate_max_normalised_score(test)
assert -0.01 < result - expected < 0.01
assert calculate_max_normalised_score([]) == 0
assert_within_delta([0, ], 0.0)
assert_within_delta([2, ], 1.0)
assert_within_delta([0, 1], 0.125)
assert_within_delta([2, 1], 0.625)
assert_within_delta([2, 2, 1], 0.885)
assert_within_delta([1, 2, 2, 1], 0.625)
def test_calculate_max_normalised_score(self):
def assert_within_delta(test, expected):
result = calculate_max_normalised_score(test)
assert -0.01 < result - expected < 0.01
assert calculate_max_normalised_score([]) == 0
assert_within_delta([
0,
], 0.0)
assert_within_delta([
2,
], 1.0)
assert_within_delta([0, 1], 0.125)
assert_within_delta([2, 1], 0.625)
assert_within_delta([2, 2, 1], 0.885)
assert_within_delta([1, 2, 2, 1], 0.625)
def assert_within_delta(test, expected):
result = calculate_max_normalised_score(test)
assert -0.01 < result - expected < 0.01
def assert_within_delta(test, expected):
result = calculate_max_normalised_score(test)
assert -0.01 < result - expected < 0.01
