Import "matplotlib.pyplot" could not be resolved (reportMissingImports)

Argument of type "dtype[Any]" cannot be assigned to parameter "dtype" of type "type" in function "__init__"   "dtype[Any]" is not assignable to "type" (reportArgumentType)

Import "matplotlib.pyplot" could not be resolved (reportMissingImports)

Import "matplotlib.pyplot" could not be resolved (reportMissingImports)

Import "scipy.special" could not be resolved (reportMissingImports)

Import "scipy.special" could not be resolved (reportMissingImports)

"l3dterms" is unknown import symbol (reportAttributeAccessIssue)

"l2dterms" is unknown import symbol (reportAttributeAccessIssue)

"h3dterms" is unknown import symbol (reportAttributeAccessIssue)

"h2dterms" is unknown import symbol (reportAttributeAccessIssue)

The operation was canceled.

Canceling since a higher priority waiting request for bpr exists

The operation was canceled.

Canceling since a higher priority waiting request for bpr exists

The operation was canceled.

Canceling since a higher priority waiting request for bpr exists

Canceling since a higher priority waiting request for bpr exists

Argument type is partially unknown   Argument corresponds to parameter "kernel_data" in function "make_kernel"   Argument type is "list[ValueArg | ArrayArg | Unknown | str]" (reportUnknownArgumentType)

Argument type is partially unknown   Argument corresponds to parameter "fixed_parameters" in function "make_kernel"   Argument type is "dict[str, Unknown]" (reportUnknownArgumentType)

Argument type is partially unknown   Argument corresponds to parameter "kernel_data" in function "make_kernel"   Argument type is "list[ValueArg | ArrayArg | Unknown | str]" (reportUnknownArgumentType)

Argument type is partially unknown   Argument corresponds to parameter "fixed_parameters" in function "make_kernel"   Argument type is "dict[str, Unknown | int]" (reportUnknownArgumentType)

Argument type is partially unknown   Argument corresponds to parameter "kernel_data" in function "make_kernel"   Argument type is "list[ArrayArg | ValueArg | EllipsisType | Unknown]" (reportUnknownArgumentType)

Argument type is partially unknown   Argument corresponds to parameter "instructions" in function "make_function"   Argument type is "list[Unknown]" (reportUnknownArgumentType)

Argument type is partially unknown   Argument corresponds to parameter "domains" in function "make_function"   Argument type is "list[Unknown]" (reportUnknownArgumentType)

Argument type is partially unknown   Argument corresponds to parameter "fixed_parameters" in function "make_kernel"   Argument type is "dict[str, Unknown]" (reportUnknownArgumentType)

Argument type is partially unknown   Argument corresponds to parameter "kernel_data" in function "make_kernel"   Argument type is "list[ArrayArg | ValueArg | Unknown | str]" (reportUnknownArgumentType)

Argument type is partially unknown   Argument corresponds to parameter "ary" in function "to_device"   Argument type is "Any | Unknown" (reportUnknownArgumentType)

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

modifying pylint run because we're on Python 3.13

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.

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.

'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.

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.

'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().

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().

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().

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().