def test_given_a_basic_mapping_yields_expected_results_with_scale_change(self):
height = 1.0
lower_points = {
(1.0, 1.0): (1.0, 1.0),
(0.0, 1.0): (-1.0, 1.0),
(1.0, 0.0): (1.0, -1.0),
(0.0, 0.0): (-1.0, -1.0)
}
upper_points = {
(1.0, 1.0): (1.0, 1.0),
(0.0, 1.0): (-1.0, 1.0),
(1.0, 0.0): (1.0, -1.0),
(0.0, 0.0): (-1.0, -1.0)
}
scale = 0.5
transformer = HomogenousTransformer(scale, height, lower_points, upper_points)
test_points = [[1.0, 1.0, 0.0], [-1.0, -1.0, 0.0], [0.0, 0.0, 0.0], [0.5, 0.5, 0.0]]
expected_points_pre = [(0.75, 0.75), (0.25, 0.25), (0.5, 0.5), (0.625, 0.625)]
expected_points_post = [(1.0, 1.0), (0.0, 0.0), (0.5, 0.5), (0.75, 0.75)]
actual_points_pre = [transformer.transform(point) for point in test_points]
transformer.set_scale(1.0)
actual_points_post = [transformer.transform(point) for point in test_points]
self.assertEquals(expected_points_pre, actual_points_pre)
self.assertEquals(expected_points_post, actual_points_post)
def test_given_a_basic_mapping_yields_expected_results_with_scale_change(
self):
height = 1.0
lower_points = {
(1.0, 1.0): (1.0, 1.0),
(0.0, 1.0): (-1.0, 1.0),
(1.0, 0.0): (1.0, -1.0),
(0.0, 0.0): (-1.0, -1.0)
}
upper_points = {
(1.0, 1.0): (1.0, 1.0),
(0.0, 1.0): (-1.0, 1.0),
(1.0, 0.0): (1.0, -1.0),
(0.0, 0.0): (-1.0, -1.0)
}
scale = 0.5
transformer = HomogenousTransformer(scale, height, lower_points,
upper_points)
test_points = [[1.0, 1.0, 0.0], [-1.0, -1.0, 0.0], [0.0, 0.0, 0.0],
[0.5, 0.5, 0.0]]
expected_points_pre = [(0.75, 0.75), (0.25, 0.25), (0.5, 0.5),
(0.625, 0.625)]
expected_points_post = [(1.0, 1.0), (0.0, 0.0), (0.5, 0.5),
(0.75, 0.75)]
actual_points_pre = [
transformer.transform(point) for point in test_points
]
transformer.set_scale(1.0)
actual_points_post = [
transformer.transform(point) for point in test_points
]
self.assertEquals(expected_points_pre, actual_points_pre)
self.assertEquals(expected_points_post, actual_points_post)
def test_given_a_basic_mapping_yields_expected_results(self):
height = 1.0
lower_points = {
(1.0, 1.0): (1.0, 1.0),
(0.0, 1.0): (-1.0, 1.0),
(1.0, 0.0): (1.0, -1.0),
(0.0, 0.0): (-1.0, -1.0)
}
upper_points = {
(1.0, 1.0): (1.0, 1.0),
(0.0, 1.0): (-1.0, 1.0),
(1.0, 0.0): (1.0, -1.0),
(0.0, 0.0): (-1.0, -1.0)
}
scale = 1.0
transformer = HomogenousTransformer(scale, height, lower_points, upper_points)
test_points = [
[1.0, 1.0, 0.0], [-1.0, -1.0, 0.0], [0.0, 0.0, 0.0], [0.5, 0.5, 0.0],
[1.0, 1.0, 2.5], [-1.0, -1.0, 2.5], [0.0, 0.0, 2.5], [0.5, 0.5, 2.5],
[1.0, 1.0, 5.0], [-1.0, -1.0, 5.0], [0.0, 0.0, 5.0], [0.5, 0.5, 5.0]]
expected_points = [((x + 1.0) / 2.0, (y + 1.0) / 2.0) for (x, y, z) in test_points]
actual_points = [transformer.transform(point) for point in test_points]
self.assertEquals(expected_points, actual_points)
def test_given_a_basic_mapping_yields_expected_results(self):
height = 1.0
lower_points = {
(1.0, 1.0): (1.0, 1.0),
(0.0, 1.0): (-1.0, 1.0),
(1.0, 0.0): (1.0, -1.0),
(0.0, 0.0): (-1.0, -1.0)
}
upper_points = {
(1.0, 1.0): (1.0, 1.0),
(0.0, 1.0): (-1.0, 1.0),
(1.0, 0.0): (1.0, -1.0),
(0.0, 0.0): (-1.0, -1.0)
}
scale = 1.0
transformer = HomogenousTransformer(scale, height, lower_points,
upper_points)
test_points = [[1.0, 1.0, 0.0], [-1.0, -1.0, 0.0], [0.0, 0.0, 0.0],
[0.5, 0.5, 0.0], [1.0, 1.0, 2.5], [-1.0, -1.0, 2.5],
[0.0, 0.0, 2.5], [0.5, 0.5, 2.5], [1.0, 1.0, 5.0],
[-1.0, -1.0, 5.0], [0.0, 0.0, 5.0], [0.5, 0.5, 5.0]]
expected_points = [((x + 1.0) / 2.0, (y + 1.0) / 2.0)
for (x, y, z) in test_points]
actual_points = [transformer.transform(point) for point in test_points]
self.assertEquals(expected_points, actual_points)
def test_given_a_basic_mapping_yields_expected_results_with_scale(self):
height = 1.0
lower_points = {
(1.0, 1.0): (1.0, 1.0),
(0.0, 1.0): (-1.0, 1.0),
(1.0, 0.0): (1.0, -1.0),
(0.0, 0.0): (-1.0, -1.0)
}
upper_points = {
(1.0, 1.0): (1.0, 1.0),
(0.0, 1.0): (-1.0, 1.0),
(1.0, 0.0): (1.0, -1.0),
(0.0, 0.0): (-1.0, -1.0)
}
scale = 0.5
transformer = HomogenousTransformer(scale, height, lower_points,
upper_points)
test_points = [[1.0, 1.0, 0.0], [-1.0, -1.0, 0.0], [0.0, 0.0, 0.0],
[0.5, 0.5, 0.0]]
expected_points = [(0.75, 0.75), (0.25, 0.25), (0.5, 0.5),
(0.625, 0.625)]
actual_points = [transformer.transform(point) for point in test_points]
#self.assertEquals(expected_points, actual_points)
for idx in range(0, len(expected_points)):
self.assertAlmostEquals(expected_points[idx][0],
actual_points[idx][0])
self.assertAlmostEquals(expected_points[idx][1],
actual_points[idx][1])
def test_given_a_basic_mapping_yields_expected_results_2(self):
height = 2.0
lower_points = {
(0.75, 0.75): (4.0, 4.0),
(0.25, 0.75): (-4.0, 4.0),
(0.75, 0.25): (4.0, -4.0),
(0.25, 0.25): (-4.0, -4.0)
}
upper_points = {
(1.0, 1.0): (4.0, 4.0),
(0.0, 1.0): (-4.0, 4.0),
(1.0, 0.0): (4.0, -4.0),
(0.0, 0.0): (-4.0, -4.0)
}
scale = 1.0
transformer = HomogenousTransformer(scale, height, lower_points,
upper_points)
test_points = [
[4.0, 4.0, 0.0],
[4.0, 4.0, 2.0],
# [-1.0, -1.0, 0.0], [0.0, 0.0, 0.0], [0.5, 0.5, 0.0],
# [1.0, 1.0, 2.5], [-1.0, -1.0,2.5], [0.0, 0.0,2.5], [0.5, 0.5,2.5],
# [1.0, 1.0, 5.0], [-1.0, -1.0, 5.0], [0.0, 0.0, 5.0], [0.5, 0.5, 5.0]
]
expected_points = [
(0.75, 0.75),
(1.0, 1.0),
# (0.3750, 0.3750), (0.5000, 0.5000), (0.5625, 0.5625),
# (0.6667, 0.6667), (0.3333, 0.3333), (0.5000, 0.5000), (0.5833, 0.5833),
# (1.0000, 1.0000), (0.0000, 0.0000), (0.5000, 0.5000), (0.7500, 0.7500)
]
actual_points = [transformer.transform(point) for point in test_points]
for idx in range(0, len(test_points)):
self.assertAlmostEquals(expected_points[idx][0],
actual_points[idx][0])
self.assertAlmostEquals(expected_points[idx][1],
actual_points[idx][1])
def test_points_outside_range_clip(self):
height = 1.0
lower_points = {
(1.0, 1.0): (1.0, 1.0),
(0.0, 1.0): (-1.0, 1.0),
(1.0, 0.0): (1.0, -1.0),
(0.0, 0.0): (-1.0, -1.0)
}
upper_points = {
(1.0, 1.0): (1.0, 1.0),
(0.0, 1.0): (-1.0, 1.0),
(1.0, 0.0): (1.0, -1.0),
(0.0, 0.0): (-1.0, -1.0)
}
scale = 1.0
transformer = HomogenousTransformer(scale, height, lower_points, upper_points)
test_points = [[-2.0, -2.0, 0.0], [2.0, 2.0, 0.0]]
results = []
for test_point in test_points:
results.append(transformer.transform(test_point))
self.assertEquals([(0.0, 0.0), (1.0, 1.0)], results)
def test_points_outside_range_clip(self):
height = 1.0
lower_points = {
(1.0, 1.0): (1.0, 1.0),
(0.0, 1.0): (-1.0, 1.0),
(1.0, 0.0): (1.0, -1.0),
(0.0, 0.0): (-1.0, -1.0)
}
upper_points = {
(1.0, 1.0): (1.0, 1.0),
(0.0, 1.0): (-1.0, 1.0),
(1.0, 0.0): (1.0, -1.0),
(0.0, 0.0): (-1.0, -1.0)
}
scale = 1.0
transformer = HomogenousTransformer(scale, height, lower_points,
upper_points)
test_points = [[-2.0, -2.0, 0.0], [2.0, 2.0, 0.0]]
results = []
for test_point in test_points:
results.append(transformer.transform(test_point))
self.assertEquals([(0.0, 0.0), (1.0, 1.0)], results)
def test_given_a_basic_mapping_yields_expected_results_2(self):
height = 2.0
lower_points = {
(0.75, 0.75): (4.0, 4.0),
(0.25, 0.75): (-4.0, 4.0),
(0.75, 0.25): (4.0, -4.0),
(0.25, 0.25): (-4.0, -4.0)
}
upper_points = {
(1.0, 1.0): (4.0, 4.0),
(0.0, 1.0): (-4.0, 4.0),
(1.0, 0.0): (4.0, -4.0),
(0.0, 0.0): (-4.0, -4.0)
}
scale = 1.0
transformer = HomogenousTransformer(scale, height, lower_points, upper_points)
test_points = [
[4.0, 4.0, 0.0], [4.0, 4.0, 2.0],
# [-1.0, -1.0, 0.0], [0.0, 0.0, 0.0], [0.5, 0.5, 0.0],
# [1.0, 1.0, 2.5], [-1.0, -1.0,2.5], [0.0, 0.0,2.5], [0.5, 0.5,2.5],
# [1.0, 1.0, 5.0], [-1.0, -1.0, 5.0], [0.0, 0.0, 5.0], [0.5, 0.5, 5.0]
]
expected_points = [
(0.75, 0.75), (1.0, 1.0),
# (0.3750, 0.3750), (0.5000, 0.5000), (0.5625, 0.5625),
# (0.6667, 0.6667), (0.3333, 0.3333), (0.5000, 0.5000), (0.5833, 0.5833),
# (1.0000, 1.0000), (0.0000, 0.0000), (0.5000, 0.5000), (0.7500, 0.7500)
]
actual_points = [transformer.transform(point) for point in test_points]
for idx in range(0,len(test_points)):
self.assertAlmostEquals(expected_points[idx][0], actual_points[idx][0])
self.assertAlmostEquals(expected_points[idx][1], actual_points[idx][1])