It seems that 4.4.1 introduced a new failure with NumPy 2. The test seems to pass with NumPy 1.
$ python -m pytest tests/test_gltf.py::GLTFTest::test_vertex_colors_import -vv
========================================================= test session starts =========================================================
platform linux -- Python 3.10.14, pytest-8.2.2, pluggy-1.5.0 -- /tmp/trimesh/.venv/bin/python
cachedir: .pytest_cache
rootdir: /tmp/trimesh
configfile: pyproject.toml
plugins: xdist-3.6.1
collected 1 item
tests/test_gltf.py::GLTFTest::test_vertex_colors_import FAILED [100%]
============================================================== FAILURES ===============================================================
_________________________________________________ GLTFTest.test_vertex_colors_import __________________________________________________
self = <tests.test_gltf.GLTFTest testMethod=test_vertex_colors_import>
def test_vertex_colors_import(self):
# get a mesh with face colors
m = g.get_mesh("cubevc.glb")
assert len(m.geometry.items()) > 0
mesh = next(iter(m.geometry.items()))[1]
assert mesh is not None
# Loaded mesh should have vertex colors
assert hasattr(mesh.visual, "vertex_colors")
# Loaded mesh should have all vertex colors filled with magenta color
magenta = g.np.array([255, 0, 255, 255])
for color in mesh.visual.vertex_colors:
is_magenta = g.np.array_equal(color, magenta)
> assert is_magenta, f"Imported vertex color is not of expected value: got {color}, expected {magenta}"
E AssertionError: Imported vertex color is not of expected value: got [ 1 0 1 255], expected [255 0 255 255]
E assert False
tests/test_gltf.py:814: AssertionError
======================================================= short test summary info =======================================================
FAILED tests/test_gltf.py::GLTFTest::test_vertex_colors_import - AssertionError: Imported vertex color is not of expected value: got [ 1 0 1 255], expected [255 0 255 255]
assert False
========================================================== 1 failed in 0.28s ==========================================================
It seems that 4.4.1 introduced a new failure with NumPy 2. The test seems to pass with NumPy 1.