Process completed with exit code 1.

Process completed with exit code 2.

Argument of type "int64" cannot be assigned to parameter "dtype" of type "dtype[Any]" in function "add_store"   Type "int64" is not assignable to type "dtype[Any]" (reportArgumentType)

Argument of type "Expression" cannot be assigned to parameter "expr" of type "ScalarExpression" in function "__init__"   Type "Expression" is not assignable to type "ScalarExpression"     Type "tuple[Expression, ...]" is not assignable to type "ScalarExpression"       "tuple[Expression, ...]" is not assignable to "int"       "tuple[Expression, ...]" is not assignable to "integer[Any]"       "tuple[Expression, ...]" is not assignable to "float"       "tuple[Expression, ...]" is not assignable to "complex"       "tuple[Expression, ...]" is not assignable to "inexact[Any, float | complex]"       "tuple[Expression, ...]" is not assignable to "ExpressionNode" ... (reportArgumentType)

Cannot access attribute "array" for class "SparseMatmul*"   Attribute "array" is unknown (reportAttributeAccessIssue)

Cannot access attribute "matrix" for class "SparseMatmul*"   Attribute "matrix" is unknown (reportAttributeAccessIssue)

"dtype" incorrectly overrides property of same name in class "Array" (reportIncompatibleMethodOverride)

Cannot access attribute "array" for class "SparseMatmul*"   Attribute "array" is unknown (reportAttributeAccessIssue)

Cannot access attribute "matrix" for class "SparseMatmul*"   Attribute "matrix" is unknown (reportAttributeAccessIssue)

"shape" incorrectly overrides property of same name in class "Array" (reportIncompatibleMethodOverride)

Base classes for class "SparseMatmul" define variable "non_equality_tags" in incompatible way (reportIncompatibleVariableOverride)

Base classes for class "SparseMatmul" define variable "axes" in incompatible way (reportIncompatibleVariableOverride)

Process completed with exit code 1.

test_array_context_np_workalike[<_PytatoPyOpenCLArrayContextForTests for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-maximum-2-float64] NotImplementedError: ReductionBoundsCollector cannot handle <class 'pymbolic.primitives.NaN'>

test_array_context_np_workalike[<_PytatoPyOpenCLArrayContextForTests for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-minimum-2-float64] NotImplementedError: ReductionBoundsCollector cannot handle <class 'pymbolic.primitives.NaN'>

The strategy configuration was canceled because "downstream_tests.arraycontext" failed

The operation was canceled.

test_geometric_factors_regular_refinement[<PytatoPyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-box3d] NotImplementedError: ReductionBoundsCollector cannot handle <class 'pymbolic.primitives.NaN'>

test_geometric_factors_regular_refinement[<PytatoPyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-box2d] NotImplementedError: ReductionBoundsCollector cannot handle <class 'pymbolic.primitives.NaN'>

test_geometric_factors_regular_refinement[<PytatoPyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-interval] NotImplementedError: ReductionBoundsCollector cannot handle <class 'pymbolic.primitives.NaN'>

The strategy configuration was canceled because "downstream_tests.arraycontext" failed

The operation was canceled.

test_dof_array_pickling[<PytatoPyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>] NotImplementedError: ReductionBoundsCollector cannot handle <class 'pymbolic.primitives.NaN'>

test_container_norm[<PytatoPyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-inf] NotImplementedError: ReductionBoundsCollector cannot handle <class 'pymbolic.primitives.NaN'>

Process completed with exit code 1.

test_random_dag_against_numpy[<context factory for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>] NotImplementedError: ReductionBoundsCollector cannot handle <class 'pymbolic.primitives.NaN'>

test_distributed_execution_random_dag subprocess.CalledProcessError: Command '['mpiexec', '-np', '2', '--oversubscribe', '-x', 'RUN_WITHIN_MPI=1', '-x', 'INVOCATION_INFO=gAWVRQAAAAAAAACMEHRlc3RfZGlzdHJpYnV0ZWSUjClfZG9fdGVzdF9kaXN0cmlidXRlZF9leGVjdXRpb25fcmFuZG9tX2RhZ5STlCmGlC4=', '/home/runner/work/pytato/pytato/.conda-root/envs/testing/bin/python3', '-m', 'mpi4py', '/home/runner/work/pytato/pytato/test/test_distributed.py']' returned non-zero exit status 1.

test_deterministic_codegen NotImplementedError: ReductionBoundsCollector cannot handle <class 'pymbolic.primitives.NaN'>

test_regression_reduction_in_conditional[<context factory for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>] NotImplementedError: ReductionBoundsCollector cannot handle <class 'pymbolic.primitives.NaN'>

test_maximum_minimum[<context factory for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-minimum] NotImplementedError: ReductionBoundsCollector cannot handle <class 'pymbolic.primitives.NaN'>

test_maximum_minimum[<context factory for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-maximum] NotImplementedError: ReductionBoundsCollector cannot handle <class 'pymbolic.primitives.NaN'>

No point in testing mirgecom at the moment, see https://github.com/illinois-ceesd/mirgecom/pull/898. Test not performed.

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

Type of "dtype" is unknown (reportUnknownMemberType)

Type of "array" is unknown (reportUnknownMemberType)

Argument type is unknown   Argument corresponds to parameter "arrays_and_dtypes" in function "result_type" (reportUnknownArgumentType)

Type of "dtype" is unknown (reportUnknownMemberType)

Type of "matrix" is unknown (reportUnknownMemberType)

Type of "shape" is unknown (reportUnknownMemberType)

Type of "array" is unknown (reportUnknownMemberType)

Type of "shape" is unknown (reportUnknownMemberType)

Type of "matrix" is unknown (reportUnknownMemberType)

Return type, "tuple[Unknown, *tuple[Unknown, ...]]", is partially unknown (reportUnknownVariableType)

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.

Broadcasting array context array types across <class 'test_reductions.MyContainer'> 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.

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.

Broadcasting array context array types across <class 'test_reductions.MyContainer'> 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.

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.

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

'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.

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.

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.

TranslationUnit.__call__ is uncached as of 2025, meaning it will incur possibly substantial compilation cost with every invocation. Use TranslationUnit.executor to obtain an object that holds longer-lived caches.

TranslationUnit.__call__ is uncached as of 2025, meaning it will incur possibly substantial compilation cost with every invocation. Use TranslationUnit.executor to obtain an object that holds longer-lived caches.

TranslationUnit.__call__ is uncached as of 2025, meaning it will incur possibly substantial compilation cost with every invocation. Use TranslationUnit.executor to obtain an object that holds longer-lived caches.

TranslationUnit.__call__ is uncached as of 2025, meaning it will incur possibly substantial compilation cost with every invocation. Use TranslationUnit.executor to obtain an object that holds longer-lived caches.

TranslationUnit.__call__ is uncached as of 2025, meaning it will incur possibly substantial compilation cost with every invocation. Use TranslationUnit.executor to obtain an object that holds longer-lived caches.

TranslationUnit.__call__ is uncached as of 2025, meaning it will incur possibly substantial compilation cost with every invocation. Use TranslationUnit.executor to obtain an object that holds longer-lived caches.

TranslationUnit.__call__ is uncached as of 2025, meaning it will incur possibly substantial compilation cost with every invocation. Use TranslationUnit.executor to obtain an object that holds longer-lived caches.

TranslationUnit.__call__ is uncached as of 2025, meaning it will incur possibly substantial compilation cost with every invocation. Use TranslationUnit.executor to obtain an object that holds longer-lived caches.

TranslationUnit.__call__ is uncached as of 2025, meaning it will incur possibly substantial compilation cost with every invocation. Use TranslationUnit.executor to obtain an object that holds longer-lived caches.