[3.5.23] test failures: TypeError: Cannot cast array data from dtype('int64') to dtype('int32') according to the rule 'safe'

While updating the Fedora package, I see quite a few tests failing with this error:

TypeError: Cannot cast array data from dtype('int64') to dtype('int32') according to the rule 'safe'

The failed “scratch build” is here: https://koji.fedoraproject.org/koji/taskinfo?taskID=40470914 Since the build will be trashed in a few days, I’ve attached the complete build logs here:

trimesh-3.5.14-build-fail.txt trimesh-3.5.14-build-fail-state.txt trimesh-3.5.14-build-fail-hw.txt

It seems to be arch specific. If I force the build to run on an x86_64 builder, I only get two failed tests:

=================================== FAILURES ===================================
____________________________ ExportTest.test_layer _____________________________
self = <tests.test_svg.ExportTest testMethod=test_layer>
    def test_layer(self):
        from shapely.geometry import Point
    
        # create two disjoint circles and apply layers
        a = g.trimesh.load_path(Point([0, 0]).buffer(1))
        a.apply_layer('ACIRCLE')
    
        b = g.trimesh.load_path(Point([2, 0]).buffer(1))
        b.apply_layer('BCIRCLE')
    
        # combine two circles
        c = a + b
    
        # should be combined
        assert g.np.isclose(c.area, a.area + b.area)
    
        # export C with just layer of A
        aX = g.trimesh.load(g.io_wrap(
            c.export(file_type='svg',
                     layers=['ACIRCLE'])),
            file_type='svg')
    
        # export C with all layers
        cX = g.trimesh.load(g.io_wrap(
            c.export(file_type='svg',
                     layers=None)),
            file_type='svg')
    
>       assert len(cX.entities) == len(c.entities)
E       AssertionError: assert 1 == 2
E         -1
E         +2
../tests/test_svg.py:59: AssertionError
_____________________________ ExportTest.test_svg ______________________________
self = <tests.test_svg.ExportTest testMethod=test_svg>
    def test_svg(self):
        for d in g.get_2D():
            # export as svg string
            exported = d.export(file_type='svg')
            # load the exported SVG
            stream = g.trimesh.util.wrap_as_stream(exported)
    
            if g.np.isclose(d.area, 0.0):
                continue
    
            loaded = g.trimesh.load(stream, file_type='svg')
    
            # we only have line and arc primitives as SVG
            # export and import
            if all(i.__class__.__name__ in ['Line', 'Arc']
                   for i in d.entities):
                # perimeter should stay the same-ish
                # on export/import
>               assert g.np.isclose(d.length,
                                    loaded.length,
                                    rtol=.01)
E               AssertionError: assert False
E                +  where False = <function isclose at 0x7f5cb37e0f70>(15.16883270309641, 10.88659282532712, rtol=0.01)
E                +    where <function isclose at 0x7f5cb37e0f70> = <module 'numpy' from '/usr/lib64/python3.8/site-packages/numpy/__init__.py'>.isclose
E                +      where <module 'numpy' from '/usr/lib64/python3.8/site-packages/numpy/__init__.py'> = g.np
E                +    and   15.16883270309641 = <trimesh.Path2D(vertices.shape=(4, 2), len(entities)=4)>.length
E                +    and   10.88659282532712 = <trimesh.Path2D(vertices.shape=(4, 2), len(entities)=1)>.length
../tests/test_svg.py:27: AssertionError
=============================== warnings summary ===============================
/usr/lib/python3.8/site-packages/svg/path/path.py:3
  /usr/lib/python3.8/site-packages/svg/path/path.py:3: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated since Python 3.3, and in 3.9 it will stop working
    from collections import MutableSequence
tests/test_normals.py::NormalsTest::test_weighted_vertex_normals
  /builddir/build/BUILD/trimesh-3.5.14/trimesh/triangles.py:109: RuntimeWarning: invalid value encountered in true_divide
    u /= util.row_norm(u).reshape((-1, 1))
tests/test_triangles.py::TrianglesTest::test_zero_angle
  /builddir/build/BUILD/trimesh-3.5.14/trimesh/triangles.py:111: RuntimeWarning: invalid value encountered in true_divide
    w /= util.row_norm(w).reshape((-1, 1))
-- Docs: https://docs.pytest.org/en/latest/warnings.html
====== 2 failed, 324 passed, 12 deselected, 3 warnings in 219.35 seconds =======

The logs from this build are here: https://koji.fedoraproject.org/koji/taskinfo?taskID=40471476

trimesh-3.5.14-build-fail-2.txt trimesh-3.5.14-build-fail-hw-2.txt trimesh-3.5.14-build-fail-state-2.txt

Cheers,

[musicinmybrain]

All of the failures are still due to:

TypeError: Cannot cast array data from dtype('int64') to dtype('int32') according to the rule 'safe'

The list of failing tests is:

BinvoxTest.test_load_save_invariance
BoundsTest.test_bounding_egg
EncodingTest.test_composite
EncodingTest.test_dense
EncodingTest.test_flat
EncodingTest.test_flipped
EncodingTest.test_reshape
EncodingTest.test_transpose
PrimitiveTest.test_cyl_buffer
NearestTest.test_coplanar_signed_distance
RleTest.test_brle_encode_decode
RleTest.test_brle_length
RleTest.test_brle_logical_not
RleTest.test_brle_to_dense
RleTest.test_brle_to_rle
RleTest.test_brle_encode_decode
ContainsTest.test_inside
VoxelGridTest.test_local

[musicinmybrain]

A new failure has appeared in 3.17.0, similar to the existing 32-bit failures:

_______________________ SubDivideTest.test_loop_correct ________________________
self = <tests.test_remesh.SubDivideTest testMethod=test_loop_correct>
    def test_loop_correct(self):
        box = g.trimesh.creation.box()
        big_sphere = g.trimesh.creation.icosphere(radius=0.5)
        small_sphere = g.trimesh.creation.icosphere(radius=0.4)
        sub = box.subdivide_loop(iterations=2)
        # smaller than 0.5 sphere
>       assert big_sphere.contains(sub.vertices).all()
/builddir/build/BUILD/trimesh-3.17.0/tests/test_remesh.py:160: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
/builddir/build/BUILD/trimesh-3.17.0/trimesh/base.py:2887: in contains
    return self.ray.contains_points(points)
/builddir/build/BUILD/trimesh-3.17.0/trimesh/ray/ray_triangle.py:191: in contains_points
    return contains_points(self, points)
/builddir/build/BUILD/trimesh-3.17.0/trimesh/constants.py:146: in timed
    result = method(*args, **kwargs)
/builddir/build/BUILD/trimesh-3.17.0/trimesh/ray/ray_util.py:76: in contains_points
    bi_hits = np.bincount(
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
args = (array([ 41,  94, 106,  56,  80, 188,  81,  57,  33, 118, 150,  74, 157,
        89, 171,  77, 137,  79, 110,  54, 121... 45,  25, 131, 101,
       117, 103,   2,  46,  43,  95,  10, 168, 194,  60, 141, 167,  23,
       175], dtype=int64),)
kwargs = {'minlength': 196}
relevant_args = (array([ 41,  94, 106,  56,  80, 188,  81,  57,  33, 118, 150,  74, 157,
        89, 171,  77, 137,  79, 110,  54, 121... 25, 131, 101,
       117, 103,   2,  46,  43,  95,  10, 168, 194,  60, 141, 167,  23,
       175], dtype=int64), None)
>   ???
E   TypeError: Cannot cast array data from dtype('int64') to dtype('int32') according to the rule 'safe'
<__array_function__ internals>:180: TypeError