79 lines
2.3 KiB
Python
79 lines
2.3 KiB
Python
from unittest.mock import patch
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import numpy as np
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from anyimage.operators.cutout_tool import balloon
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from anyimage.operators.cutout_tool.balloon import poisson_balloon_profile
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def test_poisson_balloon_profile_is_zero_on_boundary_and_positive_inside():
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points = np.asarray(
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((0, 0), (2, 0), (2, 2), (0, 2), (1, 1)),
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dtype=float,
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)
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faces = ((0, 1, 4), (1, 2, 4), (2, 3, 4), (3, 0, 4))
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boundary = np.asarray((True, True, True, True, False))
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profile = poisson_balloon_profile(points, faces, boundary)
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assert np.all(profile[:4] == 0.0)
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assert profile[4] > 0.0
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def test_poisson_balloon_profile_scales_in_world_units():
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points = np.asarray(
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((0, 0), (2, 0), (2, 2), (0, 2), (1, 1)),
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dtype=float,
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)
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faces = ((0, 1, 4), (1, 2, 4), (2, 3, 4), (3, 0, 4))
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boundary = np.asarray((True, True, True, True, False))
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original = poisson_balloon_profile(points, faces, boundary)
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scaled = poisson_balloon_profile(points * 2.0, faces, boundary)
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assert np.isclose(scaled[4], original[4] * 2.0, atol=1e-6)
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def test_poisson_balloon_profile_makes_wide_selections_thicker():
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faces = ((0, 1, 4), (1, 2, 4), (2, 3, 4), (3, 0, 4))
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boundary = np.asarray((True, True, True, True, False))
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wide = np.asarray(
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((0, 0), (4, 0), (4, 2), (0, 2), (2, 1)),
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dtype=float,
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)
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narrow = np.asarray(
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((0, 0), (4, 0), (4, 0.6), (0, 0.6), (2, 0.3)),
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dtype=float,
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)
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wide_profile = poisson_balloon_profile(wide, faces, boundary)
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narrow_profile = poisson_balloon_profile(narrow, faces, boundary)
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assert wide_profile[4] > narrow_profile[4]
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def test_teddy_balloon_profile_uses_chordal_axis_radius():
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points = np.asarray(
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((0, 0), (4, 0), (4, 2), (0, 2), (2, 1)),
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dtype=float,
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)
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faces = ((0, 1, 4), (1, 2, 4), (2, 3, 4), (3, 0, 4))
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boundary = np.asarray((True, True, True, True, False))
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nodes = np.asarray(((1, 1), (3, 1)), dtype=float)
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with patch.object(
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balloon,
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"chordal_axis",
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return_value=(nodes, [(0, 1)], np.asarray((1.0, 1.0))),
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):
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profile = balloon.teddy_balloon_heights(
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points,
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faces,
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points[:4],
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boundary,
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0.45,
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)
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assert np.all(profile[:4] == 0.0)
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assert np.isclose(profile[4], 0.45, atol=1e-6)
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