def test_find_best_matching_array():
values = [
[0, 10, 30, 40],
[0, 11, 29, 42],
[10, 21, 25, 39, 52],
[0, 9, 15, 29, 32, 41],
[0, 10, 29, 35, 36, 40],
[0, 9, 41],
[
0,
33,
],
]
correct_results = [([0, 11, 29, 42], 4), ([10, 21, 39, 52], 4),
([0, 9, 29, 41], 3), ([0, 10, 29, 40], 1),
([0, 9, 30, 41], 2), ([0, 10, 33, 40], 3)]
model = np.array(values[0])
for i, row in enumerate(values[1:]):
row = np.array(row)
corrected_row, diffsum = find_best_matching_array(row, model)
corr_res_row, corr_diffsum = correct_results[i]
assert np.array_equal(corrected_row, corr_res_row)
assert diffsum == corr_diffsum
def test_find_best_matching_array():
values = [
[0, 10, 30, 40],
[0, 11, 29, 42],
[10, 21, 25, 39, 52],
[0, 9, 15, 29, 32, 41],
[0, 10, 29, 35, 36, 40],
[0, 9, 41],
[0, 33, ],
]
correct_results = [
([0, 11, 29, 42], 4),
([10, 21, 39, 52], 4),
([0, 9, 29, 41], 3),
([0, 10, 29, 40], 1),
([0, 9, 30, 41], 2),
([0, 10, 33, 40], 3)
]
model = np.array(values[0])
for i, row in enumerate(values[1:]):
row = np.array(row)
corrected_row, diffsum = find_best_matching_array(row, model)
corr_res_row, corr_diffsum = correct_results[i]
assert np.array_equal(corrected_row, corr_res_row)
assert diffsum == corr_diffsum
def test_find_best_matching_array_exceptions():
with pytest.raises(TypeError):
find_best_matching_array([1, 2, 3], np.array([1, 2, 3]))
with pytest.raises(TypeError):
find_best_matching_array(np.array([1, 2, 3]), [1, 2, 3])
with pytest.raises(ValueError):
find_best_matching_array(np.array([]), np.array([1, 2, 3]))
with pytest.raises(ValueError):
find_best_matching_array(np.array([1, 2, 3]), np.array([]))
def test_find_best_matching_array_exceptions():
with pytest.raises(TypeError):
find_best_matching_array([1, 2, 3], np.array([1, 2, 3]))
with pytest.raises(TypeError):
find_best_matching_array(np.array([1, 2, 3]), [1, 2, 3])
with pytest.raises(ValueError):
find_best_matching_array(np.array([]), np.array([1, 2, 3]))
with pytest.raises(ValueError):
find_best_matching_array(np.array([1, 2, 3]), np.array([]))
def test_find_best_matching_array_hypothesis(model, trials):
model = np.array(model)
for row in trials:
row = np.array(row)
corrected_row, diffsum = find_best_matching_array(row, model)
assert len(corrected_row) == len(model)
assert diffsum >= 0
def test_find_best_matching_array_hypothesis(model, trials):
model = np.array(model)
for row in trials:
row = np.array(row)
corrected_row, diffsum = find_best_matching_array(row, model)
assert len(corrected_row) == len(model)
assert diffsum >= 0