Cannot access attribute "name" for class "float"   Attribute "name" is unknown (reportAttributeAccessIssue)

Cannot access attribute "name" for class "integer[Any]"   Attribute "name" is unknown (reportAttributeAccessIssue)

Cannot access attribute "name" for class "int"   Attribute "name" is unknown (reportAttributeAccessIssue)

Method "map_call" overrides class "PymbolicToSympyLikeMapper" in an incompatible manner   Return type mismatch: base method returns type "SympyLikeExpression", override returns type "type[AppliedUndef] | SympyLikeExpression"     Type "type[AppliedUndef] | SympyLikeExpression" is not assignable to type "SympyLikeExpression"       Type "type[AppliedUndef]" is not assignable to type "SympyLikeExpression" (reportIncompatibleMethodOverride)

Method "map_subscript" overrides class "PymbolicToSympyMapper" in an incompatible manner   Return type mismatch: base method returns type "SympyLikeExpression", override returns type "Symbol | None"     Type "Symbol | None" is not assignable to type "SympyLikeExpression"       "None" is not assignable to "Basic" (reportIncompatibleMethodOverride)

Operator "-" not supported for type "Expression" (reportOperatorIssue)

Operator "/" not supported for types "Literal[1]" and "Expression"   Operator "/" not supported for types "Literal[1]" and "tuple[Expression, ...]" (reportOperatorIssue)

Type "CombinedMapper" is not assignable to declared type "(expr: Unknown) -> Expression"   Type "CombinedMapper" is not assignable to type "(expr: Unknown) -> Expression"     Position-only parameter mismatch; parameter "expr" is not position-only     Position-only parameter mismatch; expected 1 but received 0 (reportAssignmentType)

Expected 0 positional arguments (reportCallIssue)

Cannot access attribute "args" for class "object"   Attribute "args" is unknown (reportAttributeAccessIssue)

test_identity_convergence[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-case0] ImportError: cannot import name 'FMMLevelToOrder' from 'sumpy.fmm' (/home/runner/work/sumpy/sumpy/pytential/.conda-root/envs/testing/lib/python3.13/site-packages/sumpy/fmm.py)

test_sphere_eigenvalues[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-fmmlib-2-3-3] ImportError: cannot import name 'FMMLevelToOrder' from 'sumpy.fmm' (/home/runner/work/sumpy/sumpy/pytential/.conda-root/envs/testing/lib/python3.13/site-packages/sumpy/fmm.py)

test_cost_model_correctness[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-3-False-False] ImportError: cannot import name 'FMMLevelToOrder' from 'sumpy.fmm' (/home/runner/work/sumpy/sumpy/pytential/.conda-root/envs/testing/lib/python3.13/site-packages/sumpy/fmm.py)

test_single_plus_double_with_single_fmm[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>] ImportError: cannot import name 'FMMLevelToOrder' from 'sumpy.fmm' (/home/runner/work/sumpy/sumpy/pytential/.conda-root/envs/testing/lib/python3.13/site-packages/sumpy/fmm.py)

test_sphere_eigenvalues[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-sumpy-2-3-3] ImportError: cannot import name 'FMMLevelToOrder' from 'sumpy.fmm' (/home/runner/work/sumpy/sumpy/pytential/.conda-root/envs/testing/lib/python3.13/site-packages/sumpy/fmm.py)

test_cost_model_correctness[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-2-True-False] ImportError: cannot import name 'FMMLevelToOrder' from 'sumpy.fmm' (/home/runner/work/sumpy/sumpy/pytential/.conda-root/envs/testing/lib/python3.13/site-packages/sumpy/fmm.py)

test_off_surface_eval_vs_direct[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>] ImportError: cannot import name 'FMMLevelToOrder' from 'sumpy.fmm' (/home/runner/work/sumpy/sumpy/pytential/.conda-root/envs/testing/lib/python3.13/site-packages/sumpy/fmm.py)

test_ellipse_eigenvalues[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-2-7-5-False] ImportError: cannot import name 'FMMLevelToOrder' from 'sumpy.fmm' (/home/runner/work/sumpy/sumpy/pytential/.conda-root/envs/testing/lib/python3.13/site-packages/sumpy/fmm.py)

test_ellipse_eigenvalues[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-1-7-5-False] ImportError: cannot import name 'FMMLevelToOrder' from 'sumpy.fmm' (/home/runner/work/sumpy/sumpy/pytential/.conda-root/envs/testing/lib/python3.13/site-packages/sumpy/fmm.py)

test_off_surface_eval[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-True] ImportError: cannot import name 'FMMLevelToOrder' from 'sumpy.fmm' (/home/runner/work/sumpy/sumpy/pytential/.conda-root/envs/testing/lib/python3.13/site-packages/sumpy/fmm.py)

context: https://github.com/pylint-dev/pylint/issues/10112

modifying pylint run because we're on Python 3.13

Argument type is unknown   Argument corresponds to parameter "args" in function "info" (reportUnknownArgumentType)

Argument type is unknown   Argument corresponds to parameter "a" in function "isclose" (reportUnknownArgumentType)

Argument type is unknown   Argument corresponds to parameter "args" in function "info" (reportUnknownArgumentType)

Argument type is unknown   Argument corresponds to parameter "a" in function "isclose" (reportUnknownArgumentType)

Argument type is unknown   Argument corresponds to parameter "args" in function "info" (reportUnknownArgumentType)

Argument type is unknown   Argument corresponds to parameter "error" in function "add_data_point" (reportUnknownArgumentType)

Argument type is unknown   Argument corresponds to parameter "args" in function "info" (reportUnknownArgumentType)

Argument type is unknown   Argument corresponds to parameter "values" in function "print" (reportUnknownArgumentType)

Argument type is unknown   Argument corresponds to parameter "object" in function "append" (reportUnknownArgumentType)

Argument type is partially unknown   Argument corresponds to parameter "preamble_generators"   Argument type is "list[(preamble_info: Unknown) -> Generator[tuple[Literal['fp_contract_fast_pocl'], Literal['#pragma clang fp contract(fast)']], Any, None]]" (reportUnknownArgumentType)

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.

'bcast_numpy_array=True' is deprecated and will be unsupported from 2025.

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.

'bcast_numpy_array=True' is deprecated and will be unsupported from 2025.

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.

'bcast_numpy_array=True' is deprecated and will be unsupported from 2025.

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.

'bcast_numpy_array=True' is deprecated and will be unsupported from 2025.

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.

'bcast_numpy_array=True' is deprecated and will be unsupported from 2025.

Aff.is_equal with implicit conversion of self to PwAff is deprecated and will stop working in 2026. Explicitly convert to PwAff, using .to_pw_aff().

Using the base PyOpenCLArrayContext.transform_loopy_program to transform a translation unit. This is largely a no-op and unlikely to result in fast generated code.Instead, subclass PyOpenCLArrayContext and implement the specific transform logic required to transform the program for your package or application. Check higher-level packages (e.g. meshmode), which may already have subclasses you may want to build on.

Aff.is_equal with implicit conversion of self to PwAff is deprecated and will stop working in 2026. Explicitly convert to PwAff, using .to_pw_aff().

Aff.is_equal with implicit conversion of self to PwAff is deprecated and will stop working in 2026. Explicitly convert to PwAff, using .to_pw_aff().

Using the base PyOpenCLArrayContext.transform_loopy_program to transform a translation unit. This is largely a no-op and unlikely to result in fast generated code.Instead, subclass PyOpenCLArrayContext and implement the specific transform logic required to transform the program for your package or application. Check higher-level packages (e.g. meshmode), which may already have subclasses you may want to build on.

Aff.is_equal with implicit conversion of self to PwAff is deprecated and will stop working in 2026. Explicitly convert to PwAff, using .to_pw_aff().

Aff.is_equal with implicit conversion of self to PwAff is deprecated and will stop working in 2026. Explicitly convert to PwAff, using .to_pw_aff().

Using the base PyOpenCLArrayContext.transform_loopy_program to transform a translation unit. This is largely a no-op and unlikely to result in fast generated code.Instead, subclass PyOpenCLArrayContext and implement the specific transform logic required to transform the program for your package or application. Check higher-level packages (e.g. meshmode), which may already have subclasses you may want to build on.

Aff.is_equal with implicit conversion of self to PwAff is deprecated and will stop working in 2026. Explicitly convert to PwAff, using .to_pw_aff().

Aff.is_equal with implicit conversion of self to PwAff is deprecated and will stop working in 2026. Explicitly convert to PwAff, using .to_pw_aff().

Aff.is_equal with implicit conversion of self to PwAff is deprecated and will stop working in 2026. Explicitly convert to PwAff, using .to_pw_aff().

Using the base PyOpenCLArrayContext.transform_loopy_program to transform a translation unit. This is largely a no-op and unlikely to result in fast generated code.Instead, subclass PyOpenCLArrayContext and implement the specific transform logic required to transform the program for your package or application. Check higher-level packages (e.g. meshmode), which may already have subclasses you may want to build on.

Aff.is_equal with implicit conversion of self to PwAff is deprecated and will stop working in 2026. Explicitly convert to PwAff, using .to_pw_aff().

Aff.is_equal with implicit conversion of self to PwAff is deprecated and will stop working in 2026. Explicitly convert to PwAff, using .to_pw_aff().

Using the base PyOpenCLArrayContext.transform_loopy_program to transform a translation unit. This is largely a no-op and unlikely to result in fast generated code.Instead, subclass PyOpenCLArrayContext and implement the specific transform logic required to transform the program for your package or application. Check higher-level packages (e.g. meshmode), which may already have subclasses you may want to build on.

Aff.is_equal with implicit conversion of self to PwAff is deprecated and will stop working in 2026. Explicitly convert to PwAff, using .to_pw_aff().

Aff.is_equal with implicit conversion of self to PwAff is deprecated and will stop working in 2026. Explicitly convert to PwAff, using .to_pw_aff().

Using the base PyOpenCLArrayContext.transform_loopy_program to transform a translation unit. This is largely a no-op and unlikely to result in fast generated code.Instead, subclass PyOpenCLArrayContext and implement the specific transform logic required to transform the program for your package or application. Check higher-level packages (e.g. meshmode), which may already have subclasses you may want to build on.

Aff.is_equal with implicit conversion of self to PwAff is deprecated and will stop working in 2026. Explicitly convert to PwAff, using .to_pw_aff().