def test_it(self):
import bezier
nodes1 = np.asfortranarray([[0.0, 1.0, 0.0], [0.0, 0.0, 1.0]])
triangle1 = bezier.Triangle(nodes1, degree=1, copy=False)
nodes2 = np.asfortranarray([[0.25, -0.75, 0.25], [0.25, 0.25, -0.75]])
triangle2 = bezier.Triangle(nodes2, degree=1, copy=False)
edge_nodes = tuple(edge._nodes for edge in triangle1.edges) + tuple(
edge._nodes for edge in triangle2.edges)
edge_info = (
(0, 0.0, 0.25),
(5, 0.75, 1.0),
(3, 0.0, 0.25),
(2, 0.75, 1.0),
)
result = self._call_function_under_test(edge_info, edge_nodes)
self.assertIsInstance(result, bezier.CurvedPolygon)
self.assertEqual(result._metadata, edge_info)
self.assertEqual(result.num_sides, 4)
# pylint: disable=unbalanced-tuple-unpacking
edge0, edge1, edge2, edge3 = result._edges
# pylint: enable=unbalanced-tuple-unpacking
# First edge.
expected = np.asfortranarray([[0.0, 0.25], [0.0, 0.0]])
self.assertEqual(edge0._nodes, expected)
# Second edge.
expected = np.asfortranarray([[0.25, 0.25], [0.0, 0.25]])
self.assertEqual(edge1._nodes, expected)
# Third edge.
expected = np.asfortranarray([[0.25, 0.0], [0.25, 0.25]])
self.assertEqual(edge2._nodes, expected)
# Fourth edge.
expected = np.asfortranarray([[0.0, 0.0], [0.25, 0.0]])
self.assertEqual(edge3._nodes, expected)
def unit_triangle():
"""Image for :class:`.triangle.Triangle` docstring."""
if NO_IMAGES:
return
nodes = np.asfortranarray([[0.0, 1.0, 0.0], [0.0, 0.0, 1.0]])
triangle = bezier.Triangle(nodes, degree=1)
ax = triangle.plot(256, color=BLUE)
ax.axis("scaled")
_plot_helpers.add_plot_boundary(ax)
save_image(ax.figure, "unit_triangle.png")