def test_should_work_for_3d_data(self):
# When
num_points = 1000
bounds = (0.0, 1.0, 0.5, 1.5, -1.0, 0.0)
dims = get_nx_ny_nz(num_points, bounds)
# Then
self.assertListEqual(list(dims), [10, 10, 10])
# When
num_points = 1000
bounds = (0.0, 1.0, 0.5, 1.5, -1.0, 2.0)
dims = get_nx_ny_nz(num_points, bounds)
# Then
self.assertListEqual(list(dims), [7, 7, 21])
def _num_points_changed(self, value):
interp = self.interpolator
if interp is not None:
bounds = self.interpolator.bounds
shape = get_nx_ny_nz(value, bounds)
interp.set_domain(bounds, shape)
self._update_plot()
def test_should_work_for_3d_data(self):
# When
num_points = 1000
bounds = (0.0, 1.0, 0.5, 1.5, -1.0, 0.0)
dims = get_nx_ny_nz(num_points, bounds)
# Then
self.assertListEqual(list(dims), [10, 10, 10])
# When
num_points = 1000
bounds = (0.0, 1.0, 0.5, 1.5, -1.0, 2.0)
dims = get_nx_ny_nz(num_points, bounds)
# Then
self.assertListEqual(list(dims), [7, 7, 21])
def _num_points_changed(self, value):
interp = self.interpolator
if interp is not None:
bounds = self.interpolator.bounds
shape = get_nx_ny_nz(value, bounds)
interp.set_domain(bounds, shape)
self._update_plot()
def test_should_work_for_1d_data(self):
# When
num_points = 100
bounds = (0.0, 1.5, 0.0, 0.0, 0.0, 0.0)
dims = get_nx_ny_nz(num_points, bounds)
# Then
self.assertListEqual(list(dims), [100, 1, 1])
# When
num_points = 100
bounds = (0.0, 0.0, 0.0, 1.123, 0.0, 0.0)
dims = get_nx_ny_nz(num_points, bounds)
# Then
self.assertListEqual(list(dims), [1, 100, 1])
# When
num_points = 100
bounds = (0.0, 0.0, 0.0, 0.0, 0.0, 3.0)
dims = get_nx_ny_nz(num_points, bounds)
# Then
self.assertListEqual(list(dims), [1, 1, 100])
def test_should_work_for_1d_data(self):
# When
num_points = 100
bounds = (0.0, 1.5, 0.0, 0.0, 0.0, 0.0)
dims = get_nx_ny_nz(num_points, bounds)
# Then
self.assertListEqual(list(dims), [100, 1, 1])
# When
num_points = 100
bounds = (0.0, 0.0, 0.0, 1.123, 0.0, 0.0)
dims = get_nx_ny_nz(num_points, bounds)
# Then
self.assertListEqual(list(dims), [1, 100, 1])
# When
num_points = 100
bounds = (0.0, 0.0, 0.0, 0.0, 0.0, 3.0)
dims = get_nx_ny_nz(num_points, bounds)
# Then
self.assertListEqual(list(dims), [1, 1, 100])
