Process completed with exit code 1.

Process completed with exit code 1.

Canceling since a higher priority waiting request for expn-typing exists

The operation was canceled.

Canceling since a higher priority waiting request for expn-typing exists

The operation was canceled.

test_line_taylor_coeff_growth ValueError: not enough values to unpack (expected 2, got 1)

Canceling since a higher priority waiting request for expn-typing exists

The operation was canceled.

Canceling since a higher priority waiting request for expn-typing exists

Import "TypeAlias" is not accessed (reportUnusedImport)

Import "TypeAlias" is not accessed (reportUnusedImport)

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().

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().

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.