The `python-version` input is not set. The version of Python currently in `PATH` will be used.

Non-empty compiler output encountered. Set the environment variable PYOPENCL_COMPILER_OUTPUT=1 to see more.

Non-empty compiler output encountered. Set the environment variable PYOPENCL_COMPILER_OUTPUT=1 to see more.

Non-empty compiler output encountered. Set the environment variable PYOPENCL_COMPILER_OUTPUT=1 to see more.

Non-empty compiler output encountered. Set the environment variable PYOPENCL_COMPILER_OUTPUT=1 to see more.

Non-empty compiler output encountered. Set the environment variable PYOPENCL_COMPILER_OUTPUT=1 to see more.

Non-empty compiler output encountered. Set the environment variable PYOPENCL_COMPILER_OUTPUT=1 to see more.

Non-empty compiler output encountered. Set the environment variable PYOPENCL_COMPILER_OUTPUT=1 to see more.

Non-empty compiler output encountered. Set the environment variable PYOPENCL_COMPILER_OUTPUT=1 to see more.

Non-empty compiler output encountered. Set the environment variable PYOPENCL_COMPILER_OUTPUT=1 to see more.

Non-empty compiler output encountered. Set the environment variable PYOPENCL_COMPILER_OUTPUT=1 to see more.

Casting complex values to real discards the imaginary part

Casting complex values to real discards the imaginary part

Casting complex values to real discards the imaginary part

Casting complex values to real discards the imaginary part

Kernel 'mult' has been retrieved more than once. Each retrieval creates a new, independent kernel, at possibly considerable expense. To avoid the expense, reuse the retrieved kernel instance. To avoid this warning, use cl.Kernel(prg, name).

Kernel 'mult' has been retrieved more than once. Each retrieval creates a new, independent kernel, at possibly considerable expense. To avoid the expense, reuse the retrieved kernel instance. To avoid this warning, use cl.Kernel(prg, name).

Casting complex values to real discards the imaginary part

Casting complex values to real discards the imaginary part

Casting complex values to real discards the imaginary part

Casting complex values to real discards the imaginary part

Non-empty compiler output encountered. Set the environment variable PYOPENCL_COMPILER_OUTPUT=1 to see more.

Non-empty compiler output encountered. Set the environment variable PYOPENCL_COMPILER_OUTPUT=1 to see more.

The global interpreter lock (GIL) has been enabled to load module 'pyopencl._cl', which has not declared that it can run safely without the GIL. To override this behavior and keep the GIL disabled (at your own risk), run with PYTHON_GIL=0 or -Xgil=0.

The global interpreter lock (GIL) has been enabled to load module 'pyopencl._cl', which has not declared that it can run safely without the GIL. To override this behavior and keep the GIL disabled (at your own risk), run with PYTHON_GIL=0 or -Xgil=0.

The global interpreter lock (GIL) has been enabled to load module 'pyopencl._cl', which has not declared that it can run safely without the GIL. To override this behavior and keep the GIL disabled (at your own risk), run with PYTHON_GIL=0 or -Xgil=0.

The global interpreter lock (GIL) has been enabled to load module 'pyopencl._cl', which has not declared that it can run safely without the GIL. To override this behavior and keep the GIL disabled (at your own risk), run with PYTHON_GIL=0 or -Xgil=0.

The global interpreter lock (GIL) has been enabled to load module 'pyopencl._cl', which has not declared that it can run safely without the GIL. To override this behavior and keep the GIL disabled (at your own risk), run with PYTHON_GIL=0 or -Xgil=0.

The global interpreter lock (GIL) has been enabled to load module 'pyopencl._cl', which has not declared that it can run safely without the GIL. To override this behavior and keep the GIL disabled (at your own risk), run with PYTHON_GIL=0 or -Xgil=0.

The global interpreter lock (GIL) has been enabled to load module 'pyopencl._cl', which has not declared that it can run safely without the GIL. To override this behavior and keep the GIL disabled (at your own risk), run with PYTHON_GIL=0 or -Xgil=0.

The global interpreter lock (GIL) has been enabled to load module 'pyopencl._cl', which has not declared that it can run safely without the GIL. To override this behavior and keep the GIL disabled (at your own risk), run with PYTHON_GIL=0 or -Xgil=0.

Unable to generate code to automatically find 'N' from 'x': division with remainder in linear solve for 'N'

Unable to generate code to automatically find 'N' from 'x': division with remainder in linear solve for 'N'

Unable to generate code to automatically find 'im_h' from 'img':

Unable to generate code to automatically find 'im_h' from 'img':

'GCCToolchain.copy' is deprecated. This is now a dataclass and should be used with the standard 'replace'.

'GCCToolchain.copy' is deprecated. This is now a dataclass and should be used with the standard 'replace'.

Using default C compiler because gcc-10 was not found. These tests may take a long time, because of https://gcc.gnu.org/bugzilla/show_bug.cgi?id=107127.

'GCCToolchain.copy' is deprecated. This is now a dataclass and should be used with the standard 'replace'.

'GCCToolchain.copy' is deprecated. This is now a dataclass and should be used with the standard 'replace'.

Using default C compiler because gcc-10 was not found. These tests may take a long time, because of https://gcc.gnu.org/bugzilla/show_bug.cgi?id=107127.

Casting complex values to real discards the imaginary part

Casting complex values to real discards the imaginary part

Casting complex values to real discards the imaginary part

Casting complex values to real discards the imaginary part

Casting complex values to real discards the imaginary part

Casting complex values to real discards the imaginary part

Casting complex values to real discards the imaginary part

Casting complex values to real discards the imaginary part

Casting complex values to real discards the imaginary part

Casting complex values to real discards the imaginary part

Encountered 'numpy.ndarray' in a dataclass_array_container. This is deprecated and will stop working in 2026. If you meant an object array, use pytools.obj_array.ObjectArray. For other uses, file an issue to discuss.

Encountered 'numpy.ndarray' in a dataclass_array_container. This is deprecated and will stop working in 2026. If you meant an object array, use pytools.obj_array.ObjectArray. For other uses, file an issue to discuss.

Encountered 'numpy.ndarray' in a dataclass_array_container. This is deprecated and will stop working in 2026. If you meant an object array, use pytools.obj_array.ObjectArray. For other uses, file an issue to discuss.

Encountered 'numpy.ndarray' in a dataclass_array_container. This is deprecated and will stop working in 2026. If you meant an object array, use pytools.obj_array.ObjectArray. For other uses, file an issue to discuss.

Encountered 'numpy.ndarray' in a dataclass_array_container. This is deprecated and will stop working in 2026. If you meant an object array, use pytools.obj_array.ObjectArray. For other uses, file an issue to discuss.

Encountered 'numpy.ndarray' in a dataclass_array_container. This is deprecated and will stop working in 2026. If you meant an object array, use pytools.obj_array.ObjectArray. For other uses, file an issue to discuss.

Encountered 'numpy.ndarray' in a dataclass_array_container. This is deprecated and will stop working in 2026. If you meant an object array, use pytools.obj_array.ObjectArray. For other uses, file an issue to discuss.

Encountered 'numpy.ndarray' in a dataclass_array_container. This is deprecated and will stop working in 2026. If you meant an object array, use pytools.obj_array.ObjectArray. For other uses, file an issue to discuss.

Encountered 'numpy.ndarray' in a dataclass_array_container. This is deprecated and will stop working in 2026. If you meant an object array, use pytools.obj_array.ObjectArray. For other uses, file an issue to discuss.

Encountered 'numpy.ndarray' in a dataclass_array_container. This is deprecated and will stop working in 2026. If you meant an object array, use pytools.obj_array.ObjectArray. For other uses, file an issue to discuss.

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.

Encountered 'numpy.ndarray' in a dataclass_array_container. This is deprecated and will stop working in 2026. If you meant an object array, use pytools.obj_array.ObjectArray. For other uses, file an issue to discuss.

'bcast_obj_array' is deprecated and will be unsupported from 2025. Use 'bcasts_across_obj_array', with equivalent meaning.

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.

Encountered 'numpy.ndarray' in a dataclass_array_container. This is deprecated and will stop working in 2026. If you meant an object array, use pytools.obj_array.ObjectArray. For other uses, file an issue to discuss.

'bcast_obj_array' is deprecated and will be unsupported from 2025. Use 'bcasts_across_obj_array', with equivalent meaning.

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.