def test_category_cond_position(self):
"""Test category output for short-lag transitions."""
masker = transitions.transitions_masker(
self.pool_position, self.output_position, self.pool_category,
self.output_category, self.pool_position, self.output_position,
lambda x, y: np.abs(x - y) < 4)
steps = [[x, y, z.tolist()] for x, y, z in masker]
expected = [[1, 1, [1, 1, 1]], [1, 1, [1, 1, 2, 2]], [2, 2, [2, 2, 2]],
[2, 2, [2]]]
assert steps == expected
def test_position_cond_category(self):
"""Test position output for within-category transitions."""
masker = transitions.transitions_masker(
self.pool_position, self.output_position, self.pool_position,
self.output_position, self.pool_category, self.output_category,
lambda x, y: x == y)
steps = [[x, y, z.tolist()] for x, y, z in masker]
expected = [[1, 3, [2, 3, 4]], [3, 4, [2, 4]], [8, 5, [5, 6, 7]],
[7, 6, [6]]]
assert steps == expected
def test_category(self):
"""Test category output."""
masker = transitions.transitions_masker(self.pool_position,
self.output_position,
self.pool_category,
self.output_category)
steps = [[x, y, z.tolist()] for x, y, z in masker]
expected = [[1, 1, [1, 1, 1, 2, 2, 2, 2]], [1, 1, [1, 1, 2, 2, 2, 2]],
[1, 2, [1, 2, 2, 2, 2]], [2, 2, [1, 2, 2, 2]],
[2, 2, [1, 2]]]
assert steps == expected
def test_position(self):
"""Test serial position output."""
masker = transitions.transitions_masker(self.pool_position,
self.output_position,
self.pool_position,
self.output_position)
steps = [[x, y, z.tolist()] for x, y, z in masker]
expected = [[1, 3, [2, 3, 4, 5, 6, 7, 8]], [3, 4, [2, 4, 5, 6, 7, 8]],
[4, 8, [2, 5, 6, 7, 8]], [8, 5, [2, 5, 6, 7]],
[7, 6, [2, 6]]]
assert steps == expected
def test_category_cond_position(list_data):
"""Test category output for short-lag transitions."""
masker = transitions.transitions_masker(
list_data['pool_position'],
list_data['output_position'],
list_data['pool_category'],
list_data['output_category'],
list_data['pool_position'],
list_data['output_position'],
lambda x, y: np.abs(x - y) < 4,
)
steps = [[p, x, y, z.tolist()] for p, x, y, z in masker]
expected = [[1, 1, 1, [1, 1, 1]], [2, 1, 1, [1, 1, 2, 2]],
[4, 2, 2, [2, 2, 2]], [7, 2, 2, [2]]]
assert steps == expected
def test_position_cond_category(list_data):
"""Test position output for within-category transitions."""
masker = transitions.transitions_masker(
list_data['pool_position'],
list_data['output_position'],
list_data['pool_position'],
list_data['output_position'],
list_data['pool_category'],
list_data['output_category'],
lambda x, y: x == y,
)
steps = [[p, x, y, z.tolist()] for p, x, y, z in masker]
expected = [[1, 1, 3, [2, 3, 4]], [2, 3, 4, [2, 4]], [4, 8, 5, [5, 6, 7]],
[7, 7, 6, [6]]]
assert steps == expected
def test_category(list_data):
"""Test category output."""
masker = transitions.transitions_masker(
list_data['pool_position'],
list_data['output_position'],
list_data['pool_category'],
list_data['output_category'],
)
steps = [[p, x, y, z.tolist()] for p, x, y, z in masker]
expected = [
[1, 1, 1, [1, 1, 1, 2, 2, 2, 2]],
[2, 1, 1, [1, 1, 2, 2, 2, 2]],
[3, 1, 2, [1, 2, 2, 2, 2]],
[4, 2, 2, [1, 2, 2, 2]],
[7, 2, 2, [1, 2]],
]
assert steps == expected
def test_position(list_data):
"""Test serial position output."""
masker = transitions.transitions_masker(
list_data['pool_position'],
list_data['output_position'],
list_data['pool_position'],
list_data['output_position'],
)
steps = [[p, x, y, z.tolist()] for p, x, y, z in masker]
expected = [
[1, 1, 3, [2, 3, 4, 5, 6, 7, 8]],
[2, 3, 4, [2, 4, 5, 6, 7, 8]],
[3, 4, 8, [2, 5, 6, 7, 8]],
[4, 8, 5, [2, 5, 6, 7]],
[7, 7, 6, [2, 6]],
]
assert steps == expected
