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Direct Solver: Recursive Skeletonization #1878

Direct Solver: Recursive Skeletonization

Direct Solver: Recursive Skeletonization #1878

Triggered via pull request November 5, 2025 08:12
Status Failure
Total duration 36m 37s
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11 errors and 41 warnings
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Process completed with exit code 2.
basedpyright: pytential/linalg/cluster.py#L498
Argument of type "Array" cannot be assigned to parameter "x" of type "float" in function "text"   "Array" is not assignable to "float" (reportArgumentType)
basedpyright: pytential/linalg/cluster.py#L496
Argument of type "Array" cannot be assigned to parameter "radius" of type "float" in function "__init__"   "Array" is not assignable to "float" (reportArgumentType)
basedpyright: pytential/linalg/cluster.py#L496
Argument of type "tuple[Array, Array]" cannot be assigned to parameter "xy" of type "tuple[float, float]" in function "__init__"   "tuple[Array, Array]" is not assignable to "tuple[float, float]"     Tuple entry 1 is incorrect type       "Array" is not assignable to "float" (reportArgumentType)
basedpyright: pytential/linalg/cluster.py#L494
Argument of type "Array" cannot be assigned to parameter "radius" of type "float" in function "__init__"   "Array" is not assignable to "float" (reportArgumentType)
basedpyright: pytential/linalg/cluster.py#L494
Argument of type "tuple[Array, Array]" cannot be assigned to parameter "xy" of type "tuple[float, float]" in function "__init__"   "tuple[Array, Array]" is not assignable to "tuple[float, float]"     Tuple entry 1 is incorrect type       "Array" is not assignable to "float" (reportArgumentType)
basedpyright: pytential/linalg/cluster.py#L298
Type "ndarray[_AnyShape, dtype[Any]]" is not assignable to return type "ObjectArray1D[Array1D[Any]]"   "ndarray[_AnyShape, dtype[Any]]" is not assignable to "ObjectArray[tuple[int], Array1D[Any]]" (reportReturnType)
basedpyright: pytential/linalg/cluster.py#L258
Argument of type "integer[Any]" cannot be assigned to parameter "j" of type "int" in function "make_block"   "integer[Any]" is not assignable to "int" (reportArgumentType)
basedpyright: pytential/linalg/cluster.py#L258
Argument of type "integer[Any]" cannot be assigned to parameter "i" of type "int" in function "make_block"   "integer[Any]" is not assignable to "int" (reportArgumentType)
basedpyright: pytential/linalg/cluster.py#L254
Argument of type "integer[Any]" cannot be assigned to parameter "x" of type "tuple[int | slice[Any, Any, Any], ...]" in function "__getitem__"   "integer[Any]" is not assignable to "tuple[int | slice[Any, Any, Any], ...]" (reportArgumentType)
basedpyright: pytential/linalg/cluster.py#L254
No overloads for "__getitem__" match the provided arguments (reportCallIssue)
Ruff
The `python-version` input is not set. The version of Python currently in `PATH` will be used.
basedpyright: pytential/linalg/cluster.py#L397
Argument type is Any   Argument corresponds to parameter "leaf_cluster_box_ids" in function "__init__" (reportAny)
basedpyright: pytential/linalg/cluster.py#L390
Argument type is Any   Argument corresponds to parameter "iterable" in function "__new__" (reportAny)
basedpyright: pytential/linalg/cluster.py#L390
Type of "ibox" is Any (reportAny)
basedpyright: pytential/linalg/cluster.py#L387
Argument type is Any   Argument corresponds to parameter "obj" in function "len" (reportAny)
basedpyright: pytential/linalg/cluster.py#L382
Type of "nonzero" is Any (reportAny)
basedpyright: pytential/linalg/cluster.py#L382
Type of "leaf_boxes" is Any (reportAny)
basedpyright: pytential/linalg/cluster.py#L377
Type of "get" is partially unknown   Type of "get" is "(queue: Unknown, **kwargs: Unknown) -> Tree" (reportUnknownMemberType)
basedpyright: pytential/linalg/cluster.py#L372
Argument type is Any   Argument corresponds to parameter "particles" in function "__call__" (reportAny)
basedpyright: pytential/linalg/cluster.py#L254
Argument type is partially unknown   Argument corresponds to parameter "arrays" in function "concatenate"   Argument type is "list[Unknown]" (reportUnknownArgumentType)
basedpyright: pytential/linalg/cluster.py#L199
Return type is Any (reportAny)
Pytest Mac: .conda-root/envs/testing/lib/python3.13/site-packages/meshmode/dof_array.py#L79
Broadcasting array context array types across <class 'meshmode.dof_array.DOFArray'> has been implicitly enabled. As of 2026, this will no longer work. Use arraycontext.Bcast* object wrappers for roughly equivalent functionality. See the discussion in https://github.com/inducer/arraycontext/pull/190. To opt out now (and avoid this warning), pass _bcast_actx_array_type=False.
Pytest Mac: .conda-root/envs/testing/lib/python3.13/site-packages/meshmode/dof_array.py#L79
'bcast_numpy_array=True' is deprecated and will be unsupported from 2025.
Pytest Mac: .conda-root/envs/testing/lib/python3.13/site-packages/meshmode/dof_array.py#L79
Broadcasting array context array types across <class 'meshmode.dof_array.DOFArray'> has been implicitly enabled. As of 2026, this will no longer work. Use arraycontext.Bcast* object wrappers for roughly equivalent functionality. See the discussion in https://github.com/inducer/arraycontext/pull/190. To opt out now (and avoid this warning), pass _bcast_actx_array_type=False.
Pytest Mac: .conda-root/envs/testing/lib/python3.13/site-packages/meshmode/dof_array.py#L79
'bcast_numpy_array=True' is deprecated and will be unsupported from 2025.
Pytest Mac: .conda-root/envs/testing/lib/python3.13/site-packages/meshmode/dof_array.py#L79
Broadcasting array context array types across <class 'meshmode.dof_array.DOFArray'> has been implicitly enabled. As of 2026, this will no longer work. Use arraycontext.Bcast* object wrappers for roughly equivalent functionality. See the discussion in https://github.com/inducer/arraycontext/pull/190. To opt out now (and avoid this warning), pass _bcast_actx_array_type=False.
Pytest Mac: .conda-root/envs/testing/lib/python3.13/site-packages/meshmode/dof_array.py#L79
'bcast_numpy_array=True' is deprecated and will be unsupported from 2025.
Pytest Mac: .conda-root/envs/testing/lib/python3.13/site-packages/meshmode/dof_array.py#L79
Broadcasting array context array types across <class 'meshmode.dof_array.DOFArray'> has been implicitly enabled. As of 2026, this will no longer work. Use arraycontext.Bcast* object wrappers for roughly equivalent functionality. See the discussion in https://github.com/inducer/arraycontext/pull/190. To opt out now (and avoid this warning), pass _bcast_actx_array_type=False.
Pytest Mac: .conda-root/envs/testing/lib/python3.13/site-packages/meshmode/dof_array.py#L79
Broadcasting array context array types across <class 'meshmode.dof_array.DOFArray'> has been implicitly enabled. As of 2026, this will no longer work. Use arraycontext.Bcast* object wrappers for roughly equivalent functionality. See the discussion in https://github.com/inducer/arraycontext/pull/190. To opt out now (and avoid this warning), pass _bcast_actx_array_type=False.
Pytest Mac: .conda-root/envs/testing/lib/python3.13/site-packages/meshmode/dof_array.py#L79
'bcast_numpy_array=True' is deprecated and will be unsupported from 2025.
Pytest Mac: .conda-root/envs/testing/lib/python3.13/site-packages/meshmode/dof_array.py#L79
'bcast_numpy_array=True' is deprecated and will be unsupported from 2025.
Pytest with SymEngine: .conda-root/envs/testing/lib/python3.13/site-packages/meshmode/dof_array.py#L79
Broadcasting array context array types across <class 'meshmode.dof_array.DOFArray'> has been implicitly enabled. As of 2026, this will no longer work. Use arraycontext.Bcast* object wrappers for roughly equivalent functionality. See the discussion in https://github.com/inducer/arraycontext/pull/190. To opt out now (and avoid this warning), pass _bcast_actx_array_type=False.
Pytest with SymEngine: .conda-root/envs/testing/lib/python3.13/site-packages/meshmode/dof_array.py#L79
'bcast_numpy_array=True' is deprecated and will be unsupported from 2025.
Pytest with SymEngine: .conda-root/envs/testing/lib/python3.13/site-packages/meshmode/dof_array.py#L79
Broadcasting array context array types across <class 'meshmode.dof_array.DOFArray'> has been implicitly enabled. As of 2026, this will no longer work. Use arraycontext.Bcast* object wrappers for roughly equivalent functionality. See the discussion in https://github.com/inducer/arraycontext/pull/190. To opt out now (and avoid this warning), pass _bcast_actx_array_type=False.
Pytest with SymEngine: .conda-root/envs/testing/lib/python3.13/site-packages/meshmode/dof_array.py#L79
'bcast_numpy_array=True' is deprecated and will be unsupported from 2025.
Pytest with SymEngine: .conda-root/envs/testing/lib/python3.13/site-packages/meshmode/dof_array.py#L79
Broadcasting array context array types across <class 'meshmode.dof_array.DOFArray'> has been implicitly enabled. As of 2026, this will no longer work. Use arraycontext.Bcast* object wrappers for roughly equivalent functionality. See the discussion in https://github.com/inducer/arraycontext/pull/190. To opt out now (and avoid this warning), pass _bcast_actx_array_type=False.
Pytest with SymEngine: .conda-root/envs/testing/lib/python3.13/site-packages/meshmode/dof_array.py#L79
Broadcasting array context array types across <class 'meshmode.dof_array.DOFArray'> has been implicitly enabled. As of 2026, this will no longer work. Use arraycontext.Bcast* object wrappers for roughly equivalent functionality. See the discussion in https://github.com/inducer/arraycontext/pull/190. To opt out now (and avoid this warning), pass _bcast_actx_array_type=False.
Pytest with SymEngine: .conda-root/envs/testing/lib/python3.13/site-packages/meshmode/dof_array.py#L79
'bcast_numpy_array=True' is deprecated and will be unsupported from 2025.
Pytest with SymEngine: .conda-root/envs/testing/lib/python3.13/site-packages/meshmode/dof_array.py#L79
'bcast_numpy_array=True' is deprecated and will be unsupported from 2025.
Pytest with SymEngine: .conda-root/envs/testing/lib/python3.13/site-packages/meshmode/dof_array.py#L79
Broadcasting array context array types across <class 'meshmode.dof_array.DOFArray'> has been implicitly enabled. As of 2026, this will no longer work. Use arraycontext.Bcast* object wrappers for roughly equivalent functionality. See the discussion in https://github.com/inducer/arraycontext/pull/190. To opt out now (and avoid this warning), pass _bcast_actx_array_type=False.
Pytest with SymEngine: .conda-root/envs/testing/lib/python3.13/site-packages/meshmode/dof_array.py#L79
'bcast_numpy_array=True' is deprecated and will be unsupported from 2025.
Pytest Linux: .conda-root/envs/testing/lib/python3.13/site-packages/meshmode/dof_array.py#L79
Broadcasting array context array types across <class 'meshmode.dof_array.DOFArray'> has been implicitly enabled. As of 2026, this will no longer work. Use arraycontext.Bcast* object wrappers for roughly equivalent functionality. See the discussion in https://github.com/inducer/arraycontext/pull/190. To opt out now (and avoid this warning), pass _bcast_actx_array_type=False.
Pytest Linux: .conda-root/envs/testing/lib/python3.13/site-packages/meshmode/dof_array.py#L79
'bcast_numpy_array=True' is deprecated and will be unsupported from 2025.
Pytest Linux: .conda-root/envs/testing/lib/python3.13/site-packages/meshmode/dof_array.py#L79
Broadcasting array context array types across <class 'meshmode.dof_array.DOFArray'> has been implicitly enabled. As of 2026, this will no longer work. Use arraycontext.Bcast* object wrappers for roughly equivalent functionality. See the discussion in https://github.com/inducer/arraycontext/pull/190. To opt out now (and avoid this warning), pass _bcast_actx_array_type=False.
Pytest Linux: .conda-root/envs/testing/lib/python3.13/site-packages/meshmode/dof_array.py#L79
'bcast_numpy_array=True' is deprecated and will be unsupported from 2025.
Pytest Linux: .conda-root/envs/testing/lib/python3.13/site-packages/meshmode/dof_array.py#L79
Broadcasting array context array types across <class 'meshmode.dof_array.DOFArray'> has been implicitly enabled. As of 2026, this will no longer work. Use arraycontext.Bcast* object wrappers for roughly equivalent functionality. See the discussion in https://github.com/inducer/arraycontext/pull/190. To opt out now (and avoid this warning), pass _bcast_actx_array_type=False.
Pytest Linux: .conda-root/envs/testing/lib/python3.13/site-packages/meshmode/dof_array.py#L79
'bcast_numpy_array=True' is deprecated and will be unsupported from 2025.
Pytest Linux: .conda-root/envs/testing/lib/python3.13/site-packages/meshmode/dof_array.py#L79
Broadcasting array context array types across <class 'meshmode.dof_array.DOFArray'> has been implicitly enabled. As of 2026, this will no longer work. Use arraycontext.Bcast* object wrappers for roughly equivalent functionality. See the discussion in https://github.com/inducer/arraycontext/pull/190. To opt out now (and avoid this warning), pass _bcast_actx_array_type=False.
Pytest Linux: .conda-root/envs/testing/lib/python3.13/site-packages/meshmode/dof_array.py#L79
'bcast_numpy_array=True' is deprecated and will be unsupported from 2025.
Pytest Linux: .conda-root/envs/testing/lib/python3.13/site-packages/meshmode/dof_array.py#L79
Broadcasting array context array types across <class 'meshmode.dof_array.DOFArray'> has been implicitly enabled. As of 2026, this will no longer work. Use arraycontext.Bcast* object wrappers for roughly equivalent functionality. See the discussion in https://github.com/inducer/arraycontext/pull/190. To opt out now (and avoid this warning), pass _bcast_actx_array_type=False.
Pytest Linux: .conda-root/envs/testing/lib/python3.13/site-packages/meshmode/dof_array.py#L79
'bcast_numpy_array=True' is deprecated and will be unsupported from 2025.