def test_stationary_profile_is_two_points(self):
# Create the two points the same as each other
position = {"sample_y": 1.0, "sample_x": 1.5}
point = Point()
point.lower = position
point.positions = position
point.upper = position
point.duration = 0.1
# Turnaround interval on P99
min_turnaround = 0.002
min_interval = 0.002
time_arrays, velocity_arrays = profile_between_points(
self.axis_mapping,
point,
point,
min_time=min_turnaround,
min_interval=min_interval,
)
expected_time_arrays = {
"sample_x": [0.0, 0.002],
"sample_y": [0.0, 0.002],
}
expected_velocity_arrays = {
"sample_x": [0.0, 0.0],
"sample_y": [0.0, 0.0],
}
self.assertEqual(time_arrays, expected_time_arrays)
self.assertEqual(velocity_arrays, expected_velocity_arrays)
def point_gen():
for n in range_(10):
p = Point()
p.indexes = [n]
p.positions = {"x": n / 10.}
p.lower = {"x": (n - 0.5) / 10.}
p.upper = {"x": (n + 0.5) / 10.}
yield p
def test_consistent_python_jython(self):
p = Point()
p.indexes = [0]
p.positions = {"x": 1, "y": 2}
p.lower = {"x": 0.5, "y": 1.75}
p.upper = {"x": 1.5, "y": 2.25}
m = RandomOffsetMutator(1, ["y"], [0.01])
q = m.mutate(p, 0)
# Generated with Python 3.7.3, but should be consistent with all Python/Jython
self.assertAlmostEqual(2.00454337, q.positions["y"])
self.assertAlmostEqual(2.25045721, q.upper["y"])
self.assertAlmostEqual(1.74735178, q.lower["y"])
def test_approximately_stationary_axis_results_in_2_profile_points(self):
# The stationary point which causes a problem on P99 testing
position = {"sample_y": 1.0000000000000888, "sample_x": 1.5}
point = Point()
point.lower = position
point.positions = position
point.upper = position
point.duration = 0.1
next_position = {"sample_y": 1.0000000000000666, "sample_x": 1.0}
next_point = Point()
next_point.lower = next_position
next_point.positions = next_position
next_point.upper = next_position
next_point.duration = 0.1
# Turnaround interval on P99
min_turnaround = 0.002
min_interval = 0.002
time_arrays, velocity_arrays = profile_between_points(
self.axis_mapping,
point,
next_point,
min_time=min_turnaround,
min_interval=min_interval,
)
expected_time_arrays = {
"sample_x": [0.0, 0.1, 0.284, 0.384],
"sample_y": [0.0, 0.384],
}
expected_velocity_arrays = {
"sample_x": [0.0, -1.760563380282, -1.760563380282, 0.0],
"sample_y": [0, 0],
}
self.assertEqual(time_arrays, expected_time_arrays)
self.assertEqual(velocity_arrays, expected_velocity_arrays)