Process completed with exit code 1.

test_convolution[<context factory for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>] pytools.persistent_dict.NoSuchEntryError: TranslationUnit(callables_table=constantdict({'loopy_kernel': CallableKernel(arg_id_to_dtype=constantdict({'f': np:dtype('float32'), 0: np:dtype('float32'), 'img': np:dtype('float32'), 1: np:dtype('float32'), 'out': np:dtype('float32'), -1: np:dtype('float32'), 'im_h': np:dtype('int32'), 2: np:dtype('int32'), 'im_w': np:dtype('int32'), 3: np:dtype('int32'), 'nfeats': np:dtype('int32'), 4: np:dtype('int32'), 'nimgs': np:dtype('int32'), 5: np:dtype('int32')}), arg_id_to_descr=constantdict({'f': ArrayArgDescriptor(shape=(Variable('nfeats'), 7, 7, 3), address_space=<AddressSpace.GLOBAL: 2>, dim_tags=(FixedStrideArrayDimTag(layout_nesting_level=3, stride=147, target_axis=0), FixedStrideArrayDimTag(layout_nesting_level=2, stride=21, target_axis=0), FixedStrideArrayDimTag(layout_nesting_level=1, stride=3, target_axis=0), FixedStrideArrayDimTag(layout_nesting_level=0, stride=1, target_axis=0))), 'img': ArrayArgDescriptor(shape=(Sum((1, Variable('nimgs'))), Sum((0, Variable('im_w'), 6)), Sum((0, Variable('im_h'), 6)), 3), address_space=<AddressSpace.GLOBAL: 2>, dim_tags=(FixedStrideArrayDimTag(layout_nesting_level=3, stride=Product((3, Sum((0, Variable('im_h'), 6)), Sum((0, Variable('im_w'), 6)))), target_axis=0), FixedStrideArrayDimTag(layout_nesting_level=2, stride=Product((3, Sum((0, Variable('im_h'), 6)))), target_axis=0), FixedStrideArrayDimTag(layout_nesting_level=1, stride=3, target_axis=0), FixedStrideArrayDimTag(layout_nesting_level=0, stride=1, target_axis=0))), 'out': ArrayArgDescriptor(shape=(Sum((1, Variable('nimgs'))), Variable('nfeats'), Variable('im_w'), Variable('im_h')), address_space=<AddressSpace.GLOBAL: 2>, dim_tags=(FixedStrideArrayDimTag(layout_nesting_level=3, stride=Product((1, Variable('im_h'), Variable('im_w'), Variable('nfeats'))), target_axis=0), FixedStrideArrayDimTag(layout_nesting_level=2, stride=Product((1, Variable('im_h'), Variable('im_w'))), target_axis=0), FixedStrideArrayDimTag(layout_nesting_level=1, stride=Product((1, Variable('im_h'))), target_axis=0), FixedStrideArrayDimTag(layout_nesting_level=0, stride=1, target_axis=0))), 'im_h': ValueArgDescriptor(), 'im_w': ValueArgDescriptor(), 'nfeats': ValueArgDescriptor(), 'nimgs': ValueArgDescriptor(), 0: ArrayArgDescriptor(shape=(Variable('nfeats'), 7, 7, 3), address_space=<AddressSpace.GLOBAL: 2>, dim_tags=(FixedStrideArrayDimTag(layout_nesting_level=3, stride=147, target_axis=0), FixedStrideArrayDimTag(layout_nesting_level=2, stride=21, target_axis=0), FixedStrideArrayDimTag(layout_nesting_level=1, stride=3, target_axis=0), FixedStrideArrayDimTag(layout_nesting_level=0, stride=1, target_axis=0))), 1: ArrayArgDescriptor(shape=(Sum((1, Variable('nimgs'))), Sum((0, Variable('im_w'), 6)), Sum((0, Variable('im_h'), 6)), 3), address_space=<AddressSpace.GLOBAL: 2>, dim_tags=(FixedStrideArrayDimTag(layout_nesting_level=3, stride=Product((3, Sum((0, Variable('im_h'), 6)), Sum((0, Variable('im_w'), 6)))), target_axis=0), FixedStrideArrayDimTag(layout_nesting_level=2, stride=Product((3, Sum((0, Variable('im_h'), 6)))), target_axis=0), FixedStrideArrayDimTag(layout_nesting_level=1, stride=3, target_axis=0), FixedStrideArrayDimTag(layout_nesting_level=0, stride=1, target_axis=0))), -1: ArrayArgDescriptor(shape=(Sum((1, Variable('nimgs'))), Variable('nfeats'), Variable('im_w'), Variable('im_h')), address_space=<AddressSpace.GLOBAL: 2>, dim_tags=(FixedStrideArrayDimTag(layout_nesting_level=3, stride=Product((1, Variable('im_h'), Variable('im_w'), Variable('nfeats'))), target_axis=0), FixedStrideArrayDimTag(layout_nesting_level=2, stride=Product((1, Variable('im_h'), Variable('im_w'))), target_axis=0), FixedStrideArrayDimTag(layout_nesting_level=1, stride=Product((1, Variable('im_h'))), target_axis=0), FixedStrideArrayDimTag(layout_nesting_level=0, stride=1, target_axis=0))), 2: ValueArgDescriptor(), 3: ValueArgDescriptor(), 4: ValueArgDescriptor(), 5: ValueArgDescriptor()}), subke

test_convolution_with_nonzero_base[<context factory for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>] pytools.persistent_dict.NoSuchEntryError: TranslationUnit(callables_table=constantdict({'loopy_kernel': CallableKernel(arg_id_to_dtype=constantdict({'f': np:dtype('float32'), 0: np:dtype('float32'), 'img': np:dtype('float32'), 1: np:dtype('float32'), 'out': np:dtype('float32'), -1: np:dtype('float32'), 'f_w': np:dtype('int32'), 2: np:dtype('int32'), 'im_h': np:dtype('int32'), 3: np:dtype('int32'), 'im_w': np:dtype('int32'), 4: np:dtype('int32'), 'nfeats': np:dtype('int32'), 5: np:dtype('int32'), 'nimgs': np:dtype('int32'), 6: np:dtype('int32')}), arg_id_to_descr=constantdict({'f': ArrayArgDescriptor(shape=(Variable('nfeats'), Sum((1, Product((2, Variable('f_w'))))), Sum((1, Product((2, Variable('f_w'))))), 3), address_space=<AddressSpace.GLOBAL: 2>, dim_tags=(FixedStrideArrayDimTag(layout_nesting_level=3, stride=Product((3, Sum((1, Product((2, Variable('f_w'))))), Sum((1, Product((2, Variable('f_w'))))))), target_axis=0), FixedStrideArrayDimTag(layout_nesting_level=2, stride=Product((3, Sum((1, Product((2, Variable('f_w'))))))), target_axis=0), FixedStrideArrayDimTag(layout_nesting_level=1, stride=3, target_axis=0), FixedStrideArrayDimTag(layout_nesting_level=0, stride=1, target_axis=0))), 'img': ArrayArgDescriptor(shape=(Sum((1, Variable('nimgs'))), Variable('im_w'), Variable('im_h'), 3), address_space=<AddressSpace.GLOBAL: 2>, dim_tags=(FixedStrideArrayDimTag(layout_nesting_level=3, stride=Product((3, Variable('im_h'), Variable('im_w'))), target_axis=0), FixedStrideArrayDimTag(layout_nesting_level=2, stride=Product((3, Variable('im_h'))), target_axis=0), FixedStrideArrayDimTag(layout_nesting_level=1, stride=3, target_axis=0), FixedStrideArrayDimTag(layout_nesting_level=0, stride=1, target_axis=0))), 'out': ArrayArgDescriptor(shape=(Sum((1, Variable('nimgs'))), Variable('nfeats'), Sum((0, Variable('im_w'), Product((-2, Variable('f_w'))))), Sum((0, Variable('im_h'), Product((-2, Variable('f_w')))))), address_space=<AddressSpace.GLOBAL: 2>, dim_tags=(FixedStrideArrayDimTag(layout_nesting_level=3, stride=Product((1, Sum((0, Variable('im_h'), Product((-2, Variable('f_w'))))), Sum((0, Variable('im_w'), Product((-2, Variable('f_w'))))), Variable('nfeats'))), target_axis=0), FixedStrideArrayDimTag(layout_nesting_level=2, stride=Product((1, Sum((0, Variable('im_h'), Product((-2, Variable('f_w'))))), Sum((0, Variable('im_w'), Product((-2, Variable('f_w'))))))), target_axis=0), FixedStrideArrayDimTag(layout_nesting_level=1, stride=Product((1, Sum((0, Variable('im_h'), Product((-2, Variable('f_w'))))))), target_axis=0), FixedStrideArrayDimTag(layout_nesting_level=0, stride=1, target_axis=0))), 'f_w': ValueArgDescriptor(), 'im_h': ValueArgDescriptor(), 'im_w': ValueArgDescriptor(), 'nfeats': ValueArgDescriptor(), 'nimgs': ValueArgDescriptor(), 0: ArrayArgDescriptor(shape=(Variable('nfeats'), Sum((1, Product((2, Variable('f_w'))))), Sum((1, Product((2, Variable('f_w'))))), 3), address_space=<AddressSpace.GLOBAL: 2>, dim_tags=(FixedStrideArrayDimTag(layout_nesting_level=3, stride=Product((3, Sum((1, Product((2, Variable('f_w'))))), Sum((1, Product((2, Variable('f_w'))))))), target_axis=0), FixedStrideArrayDimTag(layout_nesting_level=2, stride=Product((3, Sum((1, Product((2, Variable('f_w'))))))), target_axis=0), FixedStrideArrayDimTag(layout_nesting_level=1, stride=3, target_axis=0), FixedStrideArrayDimTag(layout_nesting_level=0, stride=1, target_axis=0))), 1: ArrayArgDescriptor(shape=(Sum((1, Variable('nimgs'))), Variable('im_w'), Variable('im_h'), 3), address_space=<AddressSpace.GLOBAL: 2>, dim_tags=(FixedStrideArrayDimTag(layout_nesting_level=3, stride=Product((3, Variable('im_h'), Variable('im_w'))), target_axis=0), FixedStrideArrayDimTag(layout_nesting_level=2, stride=Product((3, Variable('im_h'))), target_axis=0), FixedStrideArrayDimTag(layout_nesting_level=1, stride=3, target_axis=0), FixedStrideArrayDimTag(layout_nesting_level=0, stride=1, target_axis=0))), -1: ArrayArgDes

test_incomplete_entrypoint_raises_type_inf_failure pytools.persistent_dict.NoSuchEntryError: TranslationUnit(callables_table=constantdict({'cuatroify': CallableKernel(arg_id_to_dtype=None, arg_id_to_descr=None, subkernel=LoopKernel(domains=[BasicSet("{ : }"), BasicSet("{ [i] : 0 <= i <= 9 }"), BasicSet("{ [i_0] : 0 <= i_0 <= 9 }")], instructions=[CallInstruction(assignees=(SubArrayRef((Variable('i'),), Subscript(Variable('y'), (Sum((0, Product((1, ...)))),))),), conflicts_with_groups=frozenset(), depends_on_is_final=True, expression=Call(Variable('dosify'), (SubArrayRef((Variable('i_0'),), Subscript(Variable('x'), (Sum((0, ...)),))),)), groups=frozenset(), happens_after=constantdict({}), id='insn', no_sync_with=frozenset(), predicates=frozenset(), priority=0, tags=frozenset(), temp_var_types=(Optional(),), within_inames=frozenset(), within_inames_is_final=False), CallInstruction(assignees=(SubArrayRef((Variable('i'),), Subscript(Variable('y'), (Sum((0, Product((1, ...)))),))),), conflicts_with_groups=frozenset(), depends_on_is_final=True, expression=Call(Variable('dosify'), (SubArrayRef((Variable('i'),), Subscript(Variable('y'), (Sum((0, ...)),))),)), groups=frozenset(), happens_after=constantdict({'insn': HappensAfter(variable_name=None, instances_rel=None)}), id='insn_0', no_sync_with=frozenset(), predicates=frozenset(), priority=0, tags=frozenset(), temp_var_types=(Optional(),), within_inames=frozenset(), within_inames_is_final=False)], args=[<x: type: <auto/runtime>, shape: (10), dim_tags: (N0:stride:1) in aspace: global>, <y: type: <auto/runtime>, shape: (10), dim_tags: (N0:stride:1) in/out aspace: global>], assumptions=BasicSet("{ : }"), temporary_variables={}, inames={'i': Iname(name='i', tags=frozenset()), 'i_0': Iname(name='i_0', tags=frozenset())}, substitutions={}, options=Options(allow_fp_reordering=True, allow_terminal_colors=True, annotate_inames=False, build_options=[], check_dep_resolution=True, cl_exec_manage_array_events=True, disable_global_barriers=False, edit_code=False, enforce_array_accesses_within_bounds=True, enforce_variable_access_ordered=True, insert_gbarriers=False, no_numpy=False, return_dict=False, skip_arg_checks=False, trace_assignment_values=False, trace_assignments=False, write_code=False, write_wrapper=False), target=<loopy.target.pyopencl.PyOpenCLTarget object at 0x7fdd900e0fd0>, tags=frozenset(), state=<KernelState.INITIAL: 0>, name='cuatroify', preambles=(), preamble_generators=(), symbol_manglers=(), linearization=None, iname_slab_increments=constantdict({}), loop_priority=frozenset(), applied_iname_rewrites=(), index_dtype=np:dtype('int32'), silenced_warnings=[], overridden_get_grid_sizes_for_insn_ids=None)), 'dosify': CallableKernel(arg_id_to_dtype=None, arg_id_to_descr=None, subkernel=LoopKernel(domains=[BasicSet("{ [i] : 0 <= i <= 9 }")], instructions=[Assignment(assignee=Subscript(Variable('y'), Variable('i')), atomicity=(), conflicts_with_groups=frozenset(), depends_on_is_final=False, expression=Product((2, Subscript(Variable('x'), Variable('i')))), groups=frozenset(), happens_after=constantdict({}), id='insn', no_sync_with=frozenset(), predicates=frozenset(), priority=0, tags=frozenset(), temp_var_type=Optional(), within_inames=frozenset({'i'}), within_inames_is_final=False)], args=[<x: type: <auto/runtime>, shape: (10), dim_tags: (N0:stride:1) in aspace: global>, <y: type: <auto/runtime>, shape: (10), dim_tags: (N0:stride:1) out aspace: global>], assumptions=BasicSet("{ : }"), temporary_variables={}, inames={'i': Iname(name='i', tags=frozenset())}, substitutions={}, options=Options(allow_fp_reordering=True, allow_terminal_colors=True, annotate_inames=False, build_options=[], check_dep_resolution=True, cl_exec_manage_array_events=True, disable_global_barriers=False, edit_code=False, enforce_array_accesses_within_bounds=True, enforce_variable_access_ordered=True, insert_gbarriers=False, no_numpy=False, return_dict=False, skip_arg_checks=False, trace_assignment_values=False, trace_assignments=False, write_code=False, write_wrapper=False), target=<loopy.target.pyopencl.P

test_c_target_strides_nonsquare pytools.persistent_dict.NoSuchEntryError: TranslationUnit(callables_table=constantdict({'nonsquare_strides': CallableKernel(arg_id_to_dtype=constantdict({'out': np:dtype('float32'), -1: np:dtype('float32'), 'a': np:dtype('float32'), 0: np:dtype('float32')}), arg_id_to_descr=constantdict({'out': ArrayArgDescriptor(shape=(np.int64(10), np.int64(5), np.int64(8)), address_space=<AddressSpace.GLOBAL: 2>, dim_tags=(FixedStrideArrayDimTag(layout_nesting_level=2, stride=np.int64(40), target_axis=0), FixedStrideArrayDimTag(layout_nesting_level=1, stride=np.int64(8), target_axis=0), FixedStrideArrayDimTag(layout_nesting_level=0, stride=1, target_axis=0))), 'a': ArrayArgDescriptor(shape=(np.int64(10), np.int64(5), np.int64(8)), address_space=<AddressSpace.GLOBAL: 2>, dim_tags=(FixedStrideArrayDimTag(layout_nesting_level=2, stride=np.int64(40), target_axis=0), FixedStrideArrayDimTag(layout_nesting_level=1, stride=np.int64(8), target_axis=0), FixedStrideArrayDimTag(layout_nesting_level=0, stride=1, target_axis=0))), -1: ArrayArgDescriptor(shape=(np.int64(10), np.int64(5), np.int64(8)), address_space=<AddressSpace.GLOBAL: 2>, dim_tags=(FixedStrideArrayDimTag(layout_nesting_level=2, stride=np.int64(40), target_axis=0), FixedStrideArrayDimTag(layout_nesting_level=1, stride=np.int64(8), target_axis=0), FixedStrideArrayDimTag(layout_nesting_level=0, stride=1, target_axis=0))), 0: ArrayArgDescriptor(shape=(np.int64(10), np.int64(5), np.int64(8)), address_space=<AddressSpace.GLOBAL: 2>, dim_tags=(FixedStrideArrayDimTag(layout_nesting_level=2, stride=np.int64(40), target_axis=0), FixedStrideArrayDimTag(layout_nesting_level=1, stride=np.int64(8), target_axis=0), FixedStrideArrayDimTag(layout_nesting_level=0, stride=1, target_axis=0)))}), subkernel=LoopKernel(domains=[BasicSet("{ [i] : 0 <= i <= 9 }"), BasicSet("{ [j] : 0 <= j <= 4 }"), BasicSet("{ [k] : 0 <= k <= 7 }")], instructions=[Assignment(assignee=Subscript(Variable('out'), (Variable('i'), Variable('j'), Variable('k'))), atomicity=(), conflicts_with_groups=frozenset(), depends_on_is_final=False, expression=Product((2, Subscript(Variable('a'), (Variable('i'), Variable('j'), Variable('k'))))), groups=frozenset(), happens_after=constantdict({}), id='insn', no_sync_with=frozenset(), predicates=frozenset(), priority=0, tags=frozenset(), temp_var_type=Optional(), within_inames=frozenset({'k', 'i', 'j'}), within_inames_is_final=False)], args=[<out: type: np:dtype('float32'), shape: (10, 5, 8), dim_tags: (N2:stride:40, N1:stride:8, N0:stride:1) out aspace: global>, <a: type: np:dtype('float32'), shape: (10, 5, 8), dim_tags: (N2:stride:40, N1:stride:8, N0:stride:1) in aspace: global>], assumptions=BasicSet("{ : }"), temporary_variables={}, inames={'k': Iname(name='k', tags=frozenset()), 'i': Iname(name='i', tags=frozenset()), 'j': Iname(name='j', tags=frozenset())}, substitutions={}, options=Options(allow_fp_reordering=True, allow_terminal_colors=True, annotate_inames=False, build_options=[], check_dep_resolution=True, cl_exec_manage_array_events=True, disable_global_barriers=False, edit_code=False, enforce_array_accesses_within_bounds=True, enforce_variable_access_ordered=True, insert_gbarriers=False, no_numpy=False, return_dict=False, skip_arg_checks=False, trace_assignment_values=False, trace_assignments=False, write_code=False, write_wrapper=False), target=<loopy.target.c.ExecutableCTarget object at 0x7f9377bbd470>, tags=frozenset(), state=<KernelState.LINEARIZED: 3>, name='nonsquare_strides', preambles=(), preamble_generators=(), symbol_manglers=(), linearization=[CallKernel(kernel_name='nonsquare_strides'), EnterLoop(iname='i'), EnterLoop(iname='j'), EnterLoop(iname='k'), RunInstruction(insn_id='insn'), LeaveLoop(iname='k'), LeaveLoop(iname='j'), LeaveLoop(iname='i'), ReturnFromKernel(kernel_name='nonsquare_strides')], iname_slab_increments=constantdict({}), loop_priority=frozenset(), applied_iname_rewrites=(), index_dtype=np:dtype('int32'), silenced_warnings=[], overridden_get_grid_sizes_for_insn_ids=None))}), target=<loopy.target.c.ExecutableCTarget ob

test_c_optimizations pytools.persistent_dict.NoSuchEntryError: TranslationUnit(callables_table=constantdict({'loopy_kernel': CallableKernel(arg_id_to_dtype=constantdict({'out': np:dtype('float32'), -1: np:dtype('float32'), 'a': np:dtype('float32'), 0: np:dtype('float32')}), arg_id_to_descr=constantdict({'out': ArrayArgDescriptor(shape=(np.int64(1), np.int64(7), np.int64(8)), address_space=<AddressSpace.GLOBAL: 2>, dim_tags=(FixedStrideArrayDimTag(layout_nesting_level=2, stride=np.int64(56), target_axis=0), FixedStrideArrayDimTag(layout_nesting_level=1, stride=np.int64(8), target_axis=0), FixedStrideArrayDimTag(layout_nesting_level=0, stride=1, target_axis=0))), 'a': ArrayArgDescriptor(shape=(np.int64(1), np.int64(7), np.int64(8)), address_space=<AddressSpace.GLOBAL: 2>, dim_tags=(FixedStrideArrayDimTag(layout_nesting_level=2, stride=np.int64(56), target_axis=0), FixedStrideArrayDimTag(layout_nesting_level=1, stride=np.int64(8), target_axis=0), FixedStrideArrayDimTag(layout_nesting_level=0, stride=1, target_axis=0))), -1: ArrayArgDescriptor(shape=(np.int64(1), np.int64(7), np.int64(8)), address_space=<AddressSpace.GLOBAL: 2>, dim_tags=(FixedStrideArrayDimTag(layout_nesting_level=2, stride=np.int64(56), target_axis=0), FixedStrideArrayDimTag(layout_nesting_level=1, stride=np.int64(8), target_axis=0), FixedStrideArrayDimTag(layout_nesting_level=0, stride=1, target_axis=0))), 0: ArrayArgDescriptor(shape=(np.int64(1), np.int64(7), np.int64(8)), address_space=<AddressSpace.GLOBAL: 2>, dim_tags=(FixedStrideArrayDimTag(layout_nesting_level=2, stride=np.int64(56), target_axis=0), FixedStrideArrayDimTag(layout_nesting_level=1, stride=np.int64(8), target_axis=0), FixedStrideArrayDimTag(layout_nesting_level=0, stride=1, target_axis=0)))}), subkernel=LoopKernel(domains=[BasicSet("{ [i_outer, i_inner] : i_outer = 0 and i_inner = 0 }"), BasicSet("{ [j] : 0 <= j <= 6 }"), BasicSet("{ [k] : 0 <= k <= 7 }")], instructions=[Assignment(assignee=Subscript(Variable('out'), (Sum((Variable('i_inner'), Product((Variable('i_outer'), 4)))), Variable('j'), Variable('k'))), atomicity=(), conflicts_with_groups=frozenset(), depends_on_is_final=False, expression=Product((2, Subscript(Variable('a'), (Sum((Variable('i_inner'), Product((..., 4)))), Variable('j'), Variable('k'))))), groups=frozenset(), happens_after=constantdict({}), id='insn', no_sync_with=frozenset(), predicates=frozenset(), priority=0, tags=frozenset(), temp_var_type=Optional(), within_inames=frozenset({'k', 'j', 'i_outer', 'i_inner'}), within_inames_is_final=False)], args=[<out: type: np:dtype('float32'), shape: (1, 7, 8), dim_tags: (N2:stride:56, N1:stride:8, N0:stride:1) out aspace: global>, <a: type: np:dtype('float32'), shape: (1, 7, 8), dim_tags: (N2:stride:56, N1:stride:8, N0:stride:1) in aspace: global>], assumptions=BasicSet("{ : }"), temporary_variables={}, inames={'i_inner': Iname(name='i_inner', tags=frozenset({UnrolledIlpTag()})), 'k': Iname(name='k', tags=frozenset()), 'j': Iname(name='j', tags=frozenset()), 'i_outer': Iname(name='i_outer', tags=frozenset())}, substitutions={}, options=Options(allow_fp_reordering=True, allow_terminal_colors=True, annotate_inames=False, build_options=[], check_dep_resolution=True, cl_exec_manage_array_events=True, disable_global_barriers=False, edit_code=False, enforce_array_accesses_within_bounds=True, enforce_variable_access_ordered=True, insert_gbarriers=False, no_numpy=False, return_dict=False, skip_arg_checks=False, trace_assignment_values=False, trace_assignments=False, write_code=False, write_wrapper=False), target=<loopy.target.c.ExecutableCTarget object at 0x7f9377a05630>, tags=frozenset(), state=<KernelState.LINEARIZED: 3>, name='loopy_kernel', preambles=(), preamble_generators=(), symbol_manglers=(), linearization=[CallKernel(kernel_name='loopy_kernel'), EnterLoop(iname='k'), EnterLoop(iname='j'), EnterLoop(iname='i_outer'), EnterLoop(iname='i_inner'), RunInstruction(insn_id='insn'), LeaveLoop(iname='i_inner'), LeaveLoop(iname='i_outer'), LeaveLoop(iname='j'), LeaveLoop(iname='k'), ReturnFromKernel(kernel_name='loopy_kernel')]

test_double_hw_axes_used_in_knl_call[True] pytools.persistent_dict.NoSuchEntryError: TranslationUnit(callables_table=constantdict({'outer': CallableKernel(arg_id_to_dtype=None, arg_id_to_descr=constantdict({'x': ArrayArgDescriptor(shape=(10, 10), address_space=<AddressSpace.GLOBAL: 2>, dim_tags=(FixedStrideArrayDimTag(layout_nesting_level=1, stride=10, target_axis=0), FixedStrideArrayDimTag(layout_nesting_level=0, stride=1, target_axis=0))), 'y': ArrayArgDescriptor(shape=(10, 10), address_space=<AddressSpace.GLOBAL: 2>, dim_tags=(FixedStrideArrayDimTag(layout_nesting_level=1, stride=10, target_axis=0), FixedStrideArrayDimTag(layout_nesting_level=0, stride=1, target_axis=0))), 0: ArrayArgDescriptor(shape=(10, 10), address_space=<AddressSpace.GLOBAL: 2>, dim_tags=(FixedStrideArrayDimTag(layout_nesting_level=1, stride=10, target_axis=0), FixedStrideArrayDimTag(layout_nesting_level=0, stride=1, target_axis=0))), -1: ArrayArgDescriptor(shape=(10, 10), address_space=<AddressSpace.GLOBAL: 2>, dim_tags=(FixedStrideArrayDimTag(layout_nesting_level=1, stride=10, target_axis=0), FixedStrideArrayDimTag(layout_nesting_level=0, stride=1, target_axis=0)))}), subkernel=LoopKernel(domains=[BasicSet("{ [i] : 0 <= i <= 9 }"), BasicSet("{ [] : }"), BasicSet("{ [] : }"), BasicSet("{ [twic_i] : 0 <= twic_i <= 9 }")], instructions=[NoOpInstruction(conflicts_with_groups=frozenset(), depends_on_is_final=False, groups=frozenset(), happens_after=constantdict({}), id='twic__start', no_sync_with=frozenset(), predicates=frozenset(), priority=0, tags=frozenset(), within_inames=frozenset({'i'}), within_inames_is_final=False), Assignment(assignee=Subscript(Variable('y'), (Sum((0, Product((1, Variable('twic_i'))))), Variable('i'))), atomicity=(), conflicts_with_groups=frozenset(), depends_on_is_final=True, expression=Product((2, Subscript(Variable('x'), (Sum((0, Product((1, ...)))), Variable('i'))))), groups=frozenset(), happens_after=constantdict({'twic__start': HappensAfter(variable_name=None, instances_rel=None)}), id='twic_insn', no_sync_with=frozenset(), predicates=frozenset(), priority=0, tags=frozenset(), temp_var_type=Optional(), within_inames=frozenset({'twic_i', 'i'}), within_inames_is_final=False), NoOpInstruction(conflicts_with_groups=frozenset(), depends_on_is_final=True, groups=frozenset(), happens_after=constantdict({'twic_insn': HappensAfter(variable_name=None, instances_rel=None)}), id='insn', no_sync_with=frozenset(), predicates=frozenset(), priority=0, tags=frozenset(), within_inames=frozenset({'i'}), within_inames_is_final=False)], args=[<x: type: np:dtype('float64'), shape: (10, 10), dim_tags: (N1:stride:10, N0:stride:1) in aspace: global>, <y: type: <auto/runtime>, shape: (10, 10), dim_tags: (N1:stride:10, N0:stride:1) out aspace: global>], assumptions=BasicSet("{ : }"), temporary_variables={}, inames={'twic_i': Iname(name='twic_i', tags=frozenset({LocalInameTag(axis=0)})), 'i': Iname(name='i', tags=frozenset({LocalInameTag(axis=0)}))}, substitutions={}, options=Options(allow_fp_reordering=True, allow_terminal_colors=True, annotate_inames=False, build_options=[], check_dep_resolution=True, cl_exec_manage_array_events=True, disable_global_barriers=False, edit_code=False, enforce_array_accesses_within_bounds=True, enforce_variable_access_ordered=True, insert_gbarriers=False, no_numpy=False, return_dict=False, skip_arg_checks=False, trace_assignment_values=False, trace_assignments=False, write_code=False, write_wrapper=False), target=<loopy.target.pyopencl.PyOpenCLTarget object at 0x7fdd901743d0>, tags=frozenset(), state=<KernelState.CALLS_RESOLVED: 1>, name='outer', preambles=(), preamble_generators=(), symbol_manglers=(), linearization=None, iname_slab_increments=constantdict({}), loop_priority=frozenset(), applied_iname_rewrites=(), index_dtype=np:dtype('int32'), silenced_warnings=[], overridden_get_grid_sizes_for_insn_ids=None))}), target=<loopy.target.pyopencl.PyOpenCLTarget object at 0x7fdd901743d0>, entrypoints=frozenset({'outer'}))

test_double_hw_axes_used_in_knl_call[False] pytools.persistent_dict.NoSuchEntryError: TranslationUnit(callables_table=constantdict({'outer': CallableKernel(arg_id_to_dtype=None, arg_id_to_descr=None, subkernel=LoopKernel(domains=[BasicSet("{ [i] : 0 <= i <= 9 }"), BasicSet("{ [i_0] : 0 <= i_0 <= 9 }"), BasicSet("{ [i_1] : 0 <= i_1 <= 9 }")], instructions=[CallInstruction(assignees=(SubArrayRef((Variable('i_0'),), Subscript(Variable('y'), (Sum((0, Product((1, ...)))), Variable('i')))),), conflicts_with_groups=frozenset(), depends_on_is_final=False, expression=Call(Variable('twice'), (SubArrayRef((Variable('i_1'),), Subscript(Variable('x'), (Sum((0, ...)), Variable('i')))),)), groups=frozenset(), happens_after=constantdict({}), id='insn', no_sync_with=frozenset(), predicates=frozenset(), priority=0, tags=frozenset(), temp_var_types=(Optional(),), within_inames=frozenset({'i'}), within_inames_is_final=False)], args=[<x: type: np:dtype('float64'), shape: (10, 10), dim_tags: (N1:stride:10, N0:stride:1) in aspace: global>, <y: type: <auto/runtime>, shape: (10, 10), dim_tags: (N1:stride:10, N0:stride:1) out aspace: global>], assumptions=BasicSet("{ : }"), temporary_variables={}, inames={'i_1': Iname(name='i_1', tags=frozenset()), 'i': Iname(name='i', tags=frozenset({LocalInameTag(axis=0)})), 'i_0': Iname(name='i_0', tags=frozenset())}, substitutions={}, options=Options(allow_fp_reordering=True, allow_terminal_colors=True, annotate_inames=False, build_options=[], check_dep_resolution=True, cl_exec_manage_array_events=True, disable_global_barriers=False, edit_code=False, enforce_array_accesses_within_bounds=True, enforce_variable_access_ordered=True, insert_gbarriers=False, no_numpy=False, return_dict=False, skip_arg_checks=False, trace_assignment_values=False, trace_assignments=False, write_code=False, write_wrapper=False), target=<loopy.target.pyopencl.PyOpenCLTarget object at 0x7fdd91a929d0>, tags=frozenset(), state=<KernelState.INITIAL: 0>, name='outer', preambles=(), preamble_generators=(), symbol_manglers=(), linearization=None, iname_slab_increments=constantdict({}), loop_priority=frozenset(), applied_iname_rewrites=(), index_dtype=np:dtype('int32'), silenced_warnings=[], overridden_get_grid_sizes_for_insn_ids=None)), 'twice': CallableKernel(arg_id_to_dtype=None, arg_id_to_descr=None, subkernel=LoopKernel(domains=[BasicSet("{ [i] : 0 <= i <= 9 }")], instructions=[Assignment(assignee=Subscript(Variable('y'), Variable('i')), atomicity=(), conflicts_with_groups=frozenset(), depends_on_is_final=False, expression=Product((2, Subscript(Variable('x'), Variable('i')))), groups=frozenset(), happens_after=constantdict({}), id='insn', no_sync_with=frozenset(), predicates=frozenset(), priority=0, tags=frozenset(), temp_var_type=Optional(), within_inames=frozenset({'i'}), within_inames_is_final=False)], args=[<x: type: <auto/runtime>, shape: (10), dim_tags: (N0:stride:1) in aspace: global>, <y: type: <auto/runtime>, shape: (10), dim_tags: (N0:stride:1) out aspace: global>], assumptions=BasicSet("{ : }"), temporary_variables={}, inames={'i': Iname(name='i', tags=frozenset({LocalInameTag(axis=0)}))}, substitutions={}, options=Options(allow_fp_reordering=True, allow_terminal_colors=True, annotate_inames=False, build_options=[], check_dep_resolution=True, cl_exec_manage_array_events=True, disable_global_barriers=False, edit_code=False, enforce_array_accesses_within_bounds=True, enforce_variable_access_ordered=True, insert_gbarriers=False, no_numpy=False, return_dict=False, skip_arg_checks=False, trace_assignment_values=False, trace_assignments=False, write_code=False, write_wrapper=False), target=<loopy.target.pyopencl.PyOpenCLTarget object at 0x7fdd8bfc1850>, tags=frozenset(), state=<KernelState.INITIAL: 0>, name='twice', preambles=(), preamble_generators=(), symbol_manglers=(), linearization=None, iname_slab_increments=constantdict({}), loop_priority=frozenset(), applied_iname_rewrites=(), index_dtype=np:dtype('int32'), silenced_warnings=[], overridden_get_grid_sizes_for_insn_ids=None))}), target=<loopy.target.pyopencl.PyOpenCLTarge

test_check_bounds_with_caller_assumptions[<context factory for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>] pytools.persistent_dict.NoSuchEntryError: TranslationUnit(callables_table=constantdict({'epoint': CallableKernel(arg_id_to_dtype=None, arg_id_to_descr=None, subkernel=LoopKernel(domains=[BasicSet("{ [i] : 0 <= i <= 19 }")], instructions=[CallInstruction(assignees=(SubArrayRef((Variable('i'),), Subscript(Variable('Y'), Variable('i'))),), conflicts_with_groups=frozenset(), depends_on_is_final=False, expression=Call(Variable('arange'), (Variable('N'),)), groups=frozenset(), happens_after=constantdict({}), id='insn', no_sync_with=frozenset(), predicates=frozenset(), priority=0, tags=frozenset(), temp_var_types=(Optional(),), within_inames=frozenset(), within_inames_is_final=False)], args=[<Y: type: <auto/runtime>, shape: (20), dim_tags: (N0:stride:1) out aspace: global>, <N: ValueArg, type: np:dtype('int32')>], assumptions=BasicSet("{ : }"), temporary_variables={}, inames={'i': Iname(name='i', tags=frozenset())}, substitutions={}, options=Options(allow_fp_reordering=True, allow_terminal_colors=True, annotate_inames=False, build_options=[], check_dep_resolution=True, cl_exec_manage_array_events=True, disable_global_barriers=False, edit_code=False, enforce_array_accesses_within_bounds=True, enforce_variable_access_ordered=True, insert_gbarriers=False, no_numpy=False, return_dict=False, skip_arg_checks=False, trace_assignment_values=False, trace_assignments=False, write_code=False, write_wrapper=False), target=<loopy.target.pyopencl.PyOpenCLTarget object at 0x7fdd89725fd0>, tags=frozenset(), state=<KernelState.INITIAL: 0>, name='epoint', preambles=(), preamble_generators=(), symbol_manglers=(), linearization=None, iname_slab_increments=constantdict({}), loop_priority=frozenset(), applied_iname_rewrites=(), index_dtype=np:dtype('int32'), silenced_warnings=[], overridden_get_grid_sizes_for_insn_ids=None)), 'arange': CallableKernel(arg_id_to_dtype=None, arg_id_to_descr=None, subkernel=LoopKernel(domains=[BasicSet("[n] -> { [i] : 0 <= i < n }")], instructions=[Assignment(assignee=Subscript(Variable('y'), Variable('i')), atomicity=(), conflicts_with_groups=frozenset(), depends_on_is_final=False, expression=Variable('i'), groups=frozenset(), happens_after=constantdict({}), id='insn', no_sync_with=frozenset(), predicates=frozenset(), priority=0, tags=frozenset(), temp_var_type=Optional(), within_inames=frozenset({'i'}), within_inames_is_final=False)], args=[<n: ValueArg, type: <auto/runtime>>, <y: type: <auto/runtime>, shape: (n), dim_tags: (N0:stride:1) out aspace: global>], assumptions=BasicSet("[n] -> { : }"), temporary_variables={}, inames={'i': Iname(name='i', tags=frozenset())}, substitutions={}, options=Options(allow_fp_reordering=True, allow_terminal_colors=True, annotate_inames=False, build_options=[], check_dep_resolution=True, cl_exec_manage_array_events=True, disable_global_barriers=False, edit_code=False, enforce_array_accesses_within_bounds=True, enforce_variable_access_ordered=True, insert_gbarriers=False, no_numpy=False, return_dict=False, skip_arg_checks=False, trace_assignment_values=False, trace_assignments=False, write_code=False, write_wrapper=False), target=<loopy.target.pyopencl.PyOpenCLTarget object at 0x7fdd91a9c750>, tags=frozenset(), state=<KernelState.INITIAL: 0>, name='arange', preambles=(), preamble_generators=(), symbol_manglers=(), linearization=None, iname_slab_increments=constantdict({}), loop_priority=frozenset(), applied_iname_rewrites=(), index_dtype=np:dtype('int32'), silenced_warnings=[], overridden_get_grid_sizes_for_insn_ids=None))}), target=<loopy.target.pyopencl.PyOpenCLTarget object at 0x7fdd89725fd0>, entrypoints=frozenset({'epoint'}))

test_dependent_loop_bounds pytools.persistent_dict.NoSuchEntryError: TranslationUnit(callables_table=constantdict({'loopy_kernel': CallableKernel(arg_id_to_dtype=None, arg_id_to_descr=None, subkernel=LoopKernel(domains=[BasicSet("[n] -> { [i] : 0 <= i < n }"), BasicSet("[row_len] -> { [jj] : 0 <= jj < row_len }")], instructions=[Assignment(assignee=Variable('row_len'), atomicity=(), conflicts_with_groups=frozenset(), depends_on_is_final=False, expression=Sum((Subscript(Variable('a_rowstarts'), Sum((Variable('i'), 1))), Product((-1, Subscript(Variable('a_rowstarts'), Variable('i')))))), groups=frozenset(), happens_after=constantdict({}), id='insn', no_sync_with=frozenset(), predicates=frozenset(), priority=0, tags=frozenset(), temp_var_type=Optional(), within_inames=frozenset({'i'}), within_inames_is_final=False), Assignment(assignee=Subscript(Variable('a_sum'), Variable('i')), atomicity=(), conflicts_with_groups=frozenset(), depends_on_is_final=False, expression=Reduction(SumReductionOperation, ('jj',), LinearSubscript(Variable('a_values'), Sum((Subscript(Variable('a_rowstarts'), Variable('i')), Variable('jj')))), False), groups=frozenset(), happens_after=constantdict({}), id='insn_0', no_sync_with=frozenset(), predicates=frozenset(), priority=0, tags=frozenset(), temp_var_type=Optional(), within_inames=frozenset({'i'}), within_inames_is_final=False)], args=[<a_rowstarts: type: np:dtype('int32'), shape: (1 + n), dim_tags: (N0:stride:1) in aspace: global>, <a_indices: type: np:dtype('int32'), shape: () in aspace: global>, <a_values: ArrayArg, type: np:dtype('float32'), shape: unknown in aspace: global>, <a_sum: type: np:dtype('float32'), shape: (n), dim_tags: (N0:stride:1) out aspace: global>, <n: ValueArg, type: np:dtype('int32')>], assumptions=BasicSet("[row_len, n] -> { : row_len > 0 and n > 0 }"), temporary_variables={'row_len': <row_len: type: <auto/runtime>, shape: () aspace: auto>}, inames={'jj': Iname(name='jj', tags=frozenset()), 'i': Iname(name='i', tags=frozenset())}, substitutions={}, options=Options(allow_fp_reordering=True, allow_terminal_colors=True, annotate_inames=False, build_options=[], check_dep_resolution=True, cl_exec_manage_array_events=True, disable_global_barriers=False, edit_code=False, enforce_array_accesses_within_bounds=True, enforce_variable_access_ordered=True, insert_gbarriers=False, no_numpy=False, return_dict=False, skip_arg_checks=False, trace_assignment_values=False, trace_assignments=False, write_code=False, write_wrapper=False), target=<loopy.target.pyopencl.PyOpenCLTarget object at 0x7f63c333bad0>, tags=frozenset(), state=<KernelState.INITIAL: 0>, name='loopy_kernel', preambles=(), preamble_generators=(), symbol_manglers=(), linearization=None, iname_slab_increments=constantdict({}), loop_priority=frozenset(), applied_iname_rewrites=(), index_dtype=np:dtype('int32'), silenced_warnings=[], overridden_get_grid_sizes_for_insn_ids=None))}), target=<loopy.target.pyopencl.PyOpenCLTarget object at 0x7f63c333bad0>, entrypoints=frozenset({'loopy_kernel'}))

test_dependent_loop_bounds_2 pytools.persistent_dict.NoSuchEntryError: TranslationUnit(callables_table=constantdict({'loopy_kernel': CallableKernel(arg_id_to_dtype=None, arg_id_to_descr=None, subkernel=LoopKernel(domains=[BasicSet("[n] -> { [i_outer, i_inner] : i_outer >= 0 and 0 <= i_inner <= 127 and i_inner < n - 128i_outer }"), BasicSet("[row_len] -> { [jj] : 0 <= jj < row_len }")], instructions=[Assignment(assignee=Variable('row_start'), atomicity=(), conflicts_with_groups=frozenset(), depends_on_is_final=False, expression=Subscript(Variable('a_rowstarts'), Sum((Variable('i_inner'), Product((Variable('i_outer'), 128))))), groups=frozenset(), happens_after=constantdict({}), id='insn', no_sync_with=frozenset(), predicates=frozenset(), priority=0, tags=frozenset(), temp_var_type=Optional(), within_inames=frozenset({'i_inner', 'i_outer'}), within_inames_is_final=False), Assignment(assignee=Variable('row_len'), atomicity=(), conflicts_with_groups=frozenset(), depends_on_is_final=False, expression=Sum((Subscript(Variable('a_rowstarts'), Sum((Sum((..., ...)), 1))), Product((-1, Variable('row_start'))))), groups=frozenset(), happens_after=constantdict({'insn': HappensAfter(variable_name=None, instances_rel=None)}), id='insn_0', no_sync_with=frozenset(), predicates=frozenset(), priority=0, tags=frozenset(), temp_var_type=Optional(), within_inames=frozenset({'i_inner', 'i_outer'}), within_inames_is_final=False), Assignment(assignee=Subscript(Variable('ax'), Sum((Variable('i_inner'), Product((Variable('i_outer'), 128))))), atomicity=(), conflicts_with_groups=frozenset(), depends_on_is_final=False, expression=Reduction(SumReductionOperation, ('jj',), LinearSubscript(Variable('a_values'), Sum((Variable('row_start'), Variable('jj')))), False), groups=frozenset(), happens_after=constantdict({'insn': HappensAfter(variable_name=None, instances_rel=None)}), id='insn_1', no_sync_with=frozenset(), predicates=frozenset(), priority=0, tags=frozenset(), temp_var_type=Optional(), within_inames=frozenset({'i_inner', 'i_outer'}), within_inames_is_final=False)], args=[<a_rowstarts: type: np:dtype('int32'), shape: (1 + n), dim_tags: (N0:stride:1) in aspace: global>, <a_indices: type: np:dtype('int32'), shape: () in aspace: global>, <a_values: ArrayArg, type: np:dtype('float32'), shape: unknown, dim_tags: (stride:1) in aspace: global>, <ax: type: np:dtype('float32'), shape: (n), dim_tags: (N0:stride:1) out aspace: global>, <n: ValueArg, type: np:dtype('int32')>], assumptions=BasicSet("[row_len, n] -> { : row_len > 0 and n > 0 }"), temporary_variables={'row_start': <row_start: type: <auto/runtime>, shape: () aspace: auto>, 'row_len': <row_len: type: <auto/runtime>, shape: () aspace: auto>}, inames={'i_inner': Iname(name='i_inner', tags=frozenset({LocalInameTag(axis=0)})), 'jj': Iname(name='jj', tags=frozenset()), 'i_outer': Iname(name='i_outer', tags=frozenset({GroupInameTag(axis=0)}))}, substitutions={}, options=Options(allow_fp_reordering=True, allow_terminal_colors=True, annotate_inames=False, build_options=[], check_dep_resolution=True, cl_exec_manage_array_events=True, disable_global_barriers=False, edit_code=False, enforce_array_accesses_within_bounds=True, enforce_variable_access_ordered=True, insert_gbarriers=False, no_numpy=False, return_dict=False, skip_arg_checks=False, trace_assignment_values=False, trace_assignments=False, write_code=False, write_wrapper=False), target=<loopy.target.pyopencl.PyOpenCLTarget object at 0x7f63c333b350>, tags=frozenset(), state=<KernelState.INITIAL: 0>, name='loopy_kernel', preambles=(), preamble_generators=(), symbol_manglers=(), linearization=None, iname_slab_increments=constantdict({'i_outer': (0, 0)}), loop_priority=frozenset(), applied_iname_rewrites=({Variable('i'): Sum((Variable('i_inner'), Product((Variable('i_outer'), 128))))},), index_dtype=np:dtype('int32'), silenced_warnings=[], overridden_get_grid_sizes_for_insn_ids=None))}), target=<loopy.target.pyopencl.PyOpenCLTarget object at 0x7f63c333b350>, entrypoints=frozenset({'loopy_kernel'}))

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

modifying pylint run because we're on Python 3.13

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

'bcast_container_types' is deprecated and will be unsupported from 2025. Use 'container_types_bcast_across', with equivalent meaning.

<class 'testlib.MyContainerDOFBcast'> does not have __array_ufunc__ set. This will cause numpy to attempt broadcasting, in a way that is likely undesired. To avoid this, set __array_ufunc__ = None in <class 'testlib.MyContainerDOFBcast'>.

<class 'testlib.Velocity2D'> does not have __array_ufunc__ set. This will cause numpy to attempt broadcasting, in a way that is likely undesired. To avoid this, set __array_ufunc__ = None in <class 'testlib.Velocity2D'>.

<class 'test_arraycontext.ArrayContainerWithNumpy'> does not have __array_ufunc__ set. This will cause numpy to attempt broadcasting, in a way that is likely undesired. To avoid this, set __array_ufunc__ = None in <class 'test_arraycontext.ArrayContainerWithNumpy'>.

'bcast_container_types' is deprecated and will be unsupported from 2025. Use 'container_types_bcast_across', with equivalent meaning.

<class 'testlib.MyContainerDOFBcast'> does not have __array_ufunc__ set. This will cause numpy to attempt broadcasting, in a way that is likely undesired. To avoid this, set __array_ufunc__ = None in <class 'testlib.MyContainerDOFBcast'>.

<class 'testlib.Velocity2D'> does not have __array_ufunc__ set. This will cause numpy to attempt broadcasting, in a way that is likely undesired. To avoid this, set __array_ufunc__ = None in <class 'testlib.Velocity2D'>.

<class 'test_arraycontext.ArrayContainerWithNumpy'> does not have __array_ufunc__ set. This will cause numpy to attempt broadcasting, in a way that is likely undesired. To avoid this, set __array_ufunc__ = None in <class 'test_arraycontext.ArrayContainerWithNumpy'>.

'bcast_container_types' is deprecated and will be unsupported from 2025. Use 'container_types_bcast_across', with equivalent meaning.

<class 'testlib.MyContainerDOFBcast'> does not have __array_ufunc__ set. This will cause numpy to attempt broadcasting, in a way that is likely undesired. To avoid this, set __array_ufunc__ = None in <class 'testlib.MyContainerDOFBcast'>.

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.

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

swept_inames passed to SubArrayRef was not a tuple. This is deprecated and will stop working in 2025. Pass a tuple instead.

swept_inames passed to SubArrayRef was not a tuple. This is deprecated and will stop working in 2025. Pass a tuple instead.

swept_inames passed to SubArrayRef was not a tuple. This is deprecated and will stop working in 2025. Pass a tuple instead.

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.

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

swept_inames passed to SubArrayRef was not a tuple. This is deprecated and will stop working in 2025. Pass a tuple instead.

swept_inames passed to SubArrayRef was not a tuple. This is deprecated and will stop working in 2025. Pass a tuple instead.

swept_inames passed to SubArrayRef was not a tuple. This is deprecated and will stop working in 2025. Pass a tuple instead.

swept_inames passed to SubArrayRef was not a tuple. This is deprecated and will stop working in 2025. Pass a tuple instead.

swept_inames passed to SubArrayRef was not a tuple. This is deprecated and will stop working in 2025. Pass a tuple instead.

swept_inames passed to SubArrayRef was not a tuple. This is deprecated and will stop working in 2025. Pass a tuple instead.

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.

swept_inames passed to SubArrayRef was not a tuple. This is deprecated and will stop working in 2025. Pass a tuple instead.

swept_inames passed to SubArrayRef was not a tuple. This is deprecated and will stop working in 2025. Pass a tuple instead.

swept_inames passed to SubArrayRef was not a tuple. This is deprecated and will stop working in 2025. Pass a tuple instead.

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.

swept_inames passed to SubArrayRef was not a tuple. This is deprecated and will stop working in 2025. Pass a tuple instead.

swept_inames passed to SubArrayRef was not a tuple. This is deprecated and will stop working in 2025. Pass a tuple instead.

swept_inames passed to SubArrayRef was not a tuple. This is deprecated and will stop working in 2025. Pass a tuple instead.

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.

swept_inames passed to SubArrayRef was not a tuple. This is deprecated and will stop working in 2025. Pass a tuple instead.

swept_inames passed to SubArrayRef was not a tuple. This is deprecated and will stop working in 2025. Pass a tuple instead.

swept_inames passed to SubArrayRef was not a tuple. This is deprecated and will stop working in 2025. Pass a tuple instead.

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.

swept_inames passed to SubArrayRef was not a tuple. This is deprecated and will stop working in 2025. Pass a tuple instead.

swept_inames passed to SubArrayRef was not a tuple. This is deprecated and will stop working in 2025. Pass a tuple instead.

swept_inames passed to SubArrayRef was not a tuple. This is deprecated and will stop working in 2025. Pass a tuple instead.

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.

swept_inames passed to SubArrayRef was not a tuple. This is deprecated and will stop working in 2025. Pass a tuple instead.

swept_inames passed to SubArrayRef was not a tuple. This is deprecated and will stop working in 2025. Pass a tuple instead.

swept_inames passed to SubArrayRef was not a tuple. This is deprecated and will stop working in 2025. Pass a tuple instead.

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.

swept_inames passed to SubArrayRef was not a tuple. This is deprecated and will stop working in 2025. Pass a tuple instead.

swept_inames passed to SubArrayRef was not a tuple. This is deprecated and will stop working in 2025. Pass a tuple instead.

swept_inames passed to SubArrayRef was not a tuple. This is deprecated and will stop working in 2025. Pass a tuple instead.

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.

swept_inames passed to SubArrayRef was not a tuple. This is deprecated and will stop working in 2025. Pass a tuple instead.

swept_inames passed to SubArrayRef was not a tuple. This is deprecated and will stop working in 2025. Pass a tuple instead.

swept_inames passed to SubArrayRef was not a tuple. This is deprecated and will stop working in 2025. Pass a tuple instead.

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.

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.

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

'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 2025, this will no longer work. There is no replacement as of right now. 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_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.

'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 2025, this will no longer work. There is no replacement as of right now. 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_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.

'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.

'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 2025, this will no longer work. There is no replacement as of right now. 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 2025, this will no longer work. There is no replacement as of right now. 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_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.

<class 'grudge.trace_pair.TracePair'> does not have __array_ufunc__ set. This will cause numpy to attempt broadcasting, in a way that is likely undesired. To avoid this, set __array_ufunc__ = None in <class 'grudge.trace_pair.TracePair'>.

<class 'grudge.trace_pair.TracePair'> does not have __array_ufunc__ set. This will cause numpy to attempt broadcasting, in a way that is likely undesired. To avoid this, set __array_ufunc__ = None in <class 'grudge.trace_pair.TracePair'>.

'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.

'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 2025, this will no longer work. There is no replacement as of right now. 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 2025, this will no longer work. There is no replacement as of right now. 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_obj_array' is deprecated and will be unsupported from 2025. Use 'bcasts_across_obj_array', with equivalent meaning.

'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 2025, this will no longer work. There is no replacement as of right now. 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.