def test_more_inputs(): output = DummyOutput() n_inputs = 100 bubblesort.options['n_inputs'] = n_inputs bubblesort.run(IntGenerator(), output) assert len(output) == n_inputs for i in range(len(output) - 1): assert output[i] == output[i + 1] + 1
def test_run(): output = DummyOutput() n_inputs = 10 b_tree.options['n_inputs'] = n_inputs b_tree.run(IntGenerator(), output) assert len(output) == n_inputs for i in range(len(output) - 1): assert output[i] == output[i + 1] + 1
def test_min_more_inputs(): output = DummyOutput() n_inputs = 100 red_black_tree.options['n_inputs'] = n_inputs red_black_tree.run(IntGenerator(), output) assert len(output) == n_inputs for i in range(len(output) - 1): assert output[i] == output[i + 1] + 1
def test_run_hoare(): output = DummyOutput() n_inputs = 11 quicksort.options['n_inputs'] = n_inputs quicksort.options['type'] = 'hoare' quicksort.run(IntGenerator(), output) assert len(output) == n_inputs for i, j in enumerate(output): assert j == i + 1 + (255 - n_inputs)
def test_min(): output = DummyOutput() n_inputs = 10 heap.options['n_inputs'] = n_inputs heap.options['type'] = 'min' heap.run(IntGenerator(), output) assert len(output) == n_inputs for i in range(len(output) - 1): assert output[i] == output[i + 1] + 1
def test_run(): output = DummyOutput() n_inputs = 10 bucketsort.options['n_inputs'] = n_inputs bucketsort.run(IntGenerator(), output) assert len(output) == n_inputs assert output[0] == 0 assert output[1] == 255 for i in range(2, len(output)): assert output[i] == i - 2
def test_max_more_inputs(): output = DummyOutput() n_inputs = 100 first_message = 'Tree insertion order:' binary_search_tree.options['n_inputs'] = n_inputs binary_search_tree.options['function'] = 'max' binary_search_tree.run(IntGenerator(), output) assert len(output) == n_inputs + 1 assert output[0] == first_message for i in range(1, len(output) - 1): assert output[i] == 255 - (n_inputs - i)
def test_insert_more_inputs(): output = DummyOutput() n_inputs = 100 final_message_prefix = 'Insert : ' first_message = 'Tree insertion order:' binary_search_tree.options['n_inputs'] = n_inputs binary_search_tree.options['function'] = 'insert' binary_search_tree.run(IntGenerator(), output) assert len(output) == n_inputs + 2 assert output[0] == first_message for i in range(1, len(output) - 1): assert output[i] == 256 - i assert output[-1][:len(final_message_prefix)] == final_message_prefix assert int(output[-1][len(final_message_prefix):]) == 255 - n_inputs
def test_run_mid(): output = DummyOutput() n_inputs = 11 quicksort.options['n_inputs'] = n_inputs quicksort.options['type'] = 'mid' quicksort.run(IntGenerator(), output) assert len(output) == n_inputs expected_value = 255 - 1 for i in range(n_inputs // 2): assert output[i] == expected_value expected_value -= 2 expected_value = 255 for i in range(1, 1 + math.ceil(n_inputs / 2)): assert output[-i] == expected_value expected_value -= 2
def test_small_convex_hull(): output = DummyOutput() n_inputs = 10 convex_hull.options['n_inputs'] = n_inputs convex_hull.run(IntGenerator(), output) assert len(output) == n_inputs
def test_run(): output = DummyOutput() n_inputs = 10 mergesort.options['n_inputs'] = n_inputs mergesort.run(IntGenerator(), output) assert len(output) == n_inputs