Process completed with exit code 2.

Process completed with exit code 1.

Process completed with exit code 2.

Process completed with exit code 1.

Argument of type "Basic" cannot be assigned to parameter "r" of type "Expr" in function "reindex_recurrence_relation"   "Basic" is not assignable to "Expr" (reportArgumentType)

Expected class but received "list[type[int] | type[Expr]]" (reportGeneralTypeIssues)

List expression not allowed in type expression   Use list[T] to indicate a list type or T1 | T2 to indicate a union type (reportInvalidTypeForm)

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

Type "Unknown | Literal[0]" is not assignable to return type "Expr"   Type "Unknown | Literal[0]" is not assignable to type "Expr"     "Literal[0]" is not assignable to "Expr" (reportReturnType)

Expected type arguments for generic class "list" (reportMissingTypeArgument)

Type "int" is not assignable to return type "Expr"   "int" is not assignable to "Expr" (reportReturnType)

Expected type arguments for generic class "dict" (reportMissingTypeArgument)

Type "tuple[Expr | Basic | Unknown | Literal[0], _Array[tuple[int], Any], int]" is not assignable to return type "tuple[Expr, ndarray[_AnyShape, dtype[Any]], int]"   Type "Expr | Basic | Unknown | Literal[0]" is not assignable to type "Expr"     "Literal[0]" is not assignable to "Expr" (reportReturnType)

Cannot access attribute "subs" for class "Literal[0]"   Attribute "subs" is unknown (reportAttributeAccessIssue)

Process completed with exit code 2.

The operation was canceled.

The operation was canceled.

Canceling since a higher priority waiting request for parametric_recurrence exists

Canceling since a higher priority waiting request for parametric_recurrence exists

Canceling since a higher priority waiting request for parametric_recurrence exists

"reccurrence" should be "recurrence".

"reccurrence" should be "recurrence".

"refinment" should be "refinement".

"refinment" should be "refinement".

"SUBSITUTED" should be "SUBSTITUTED".

manifest-file does not contain version 0.7.14, arch x86_64, platform unknown-linux-gnu. Falling back to GitHub releases.

invalid escape sequence '\i'

invalid escape sequence '\i'

Type of "rval" is Any (reportAny)

Type of "symbols" is partially unknown   Type of "symbols" is "(names: Unknown, *, cls: type[Symbol] = Symbol, **args: Unknown) -> Any" (reportUnknownMemberType)

Type of "eps" is Any (reportAny)

Type of "sqrt" is partially unknown   Type of "sqrt" is "(arg: Unknown, evaluate: Unknown | None = None) -> Expr" (reportUnknownMemberType)

Argument type is unknown   Argument corresponds to parameter "stop" in function "__new__" (reportUnknownArgumentType)

Type annotation is missing for parameter "n" (reportMissingParameterType)

Type of parameter "n" is unknown (reportUnknownParameterType)

Type annotation is missing for parameter "name" (reportMissingParameterType)

Type of parameter "name" is unknown (reportUnknownParameterType)

Stub file not found for "sympy" (reportMissingTypeStubs)

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.

'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().

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.

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().

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

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.

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.

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().

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().

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

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().

invalid escape sequence '\i'