Stokes/Elasticity using biharmonic/Laplace #162
Annotations
10 errors and 10 warnings
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Main Script:
test/test/test_stokes.py#L811
test_elasticity_pde[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-3-Biharmonic-0.5-True]
TypeError: no default __reduce__ due to non-trivial __cinit__
when serializing dict item 'L'
when serializing pytential.symbolic.pde.system_utils.LUFactorization state
when serializing pytential.symbolic.pde.system_utils.LUFactorization object
when serializing tuple item 0
when serializing dict item (<class 'pytools._HasKwargs'>, frozenset({('hashable_kernel_arguments', (('mu', 1),)), ('order', None)}))
when serializing dict item '_memoize_dic_pytential.symbolic.pde.system_utils_get_base_kernel_matrix_lu_factorization'
when serializing sumpy.kernel.BiharmonicKernel state
when serializing sumpy.kernel.BiharmonicKernel object
when serializing tuple item 0
when serializing tuple item 1
when serializing tuple item 0
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Main Script:
test/test/test_stokes.py#L832
test_elasticity_pde[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-3-Laplace-0.4-False]
assert (np.float64(0.004949806116489725) > (3 - 1) or np.float64(1.2315758792579679) < 1e-10)
+ where np.float64(0.004949806116489725) = order_estimate()
+ where order_estimate = <pytools.convergence.EOCRecorder object at 0x7f1149297930>.order_estimate
+ and np.float64(1.2315758792579679) = max_error()
+ where max_error = <pytools.convergence.EOCRecorder object at 0x7f1149297930>.max_error
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Main Script:
test/test/test_stokes.py#L832
test_elasticity_pde[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-3-Laplace-0.5-False]
assert (np.float64(0.0038143254534405346) > (3 - 1) or np.float64(0.4542183888389744) < 1e-10)
+ where np.float64(0.0038143254534405346) = order_estimate()
+ where order_estimate = <pytools.convergence.EOCRecorder object at 0x7f1149690af0>.order_estimate
+ and np.float64(0.4542183888389744) = max_error()
+ where max_error = <pytools.convergence.EOCRecorder object at 0x7f1149690af0>.max_error
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Main Script:
test/test/test_stokes.py#L811
test_elasticity_pde[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-3-Biharmonic-0.4-True]
TypeError: no default __reduce__ due to non-trivial __cinit__
when serializing dict item 'L'
when serializing pytential.symbolic.pde.system_utils.LUFactorization state
when serializing pytential.symbolic.pde.system_utils.LUFactorization object
when serializing tuple item 0
when serializing dict item (<class 'pytools._HasKwargs'>, frozenset({('hashable_kernel_arguments', (('mu', 1),)), ('order', None)}))
when serializing dict item '_memoize_dic_pytential.symbolic.pde.system_utils_get_base_kernel_matrix_lu_factorization'
when serializing sumpy.kernel.BiharmonicKernel state
when serializing sumpy.kernel.BiharmonicKernel object
when serializing tuple item 0
when serializing tuple item 1
when serializing tuple item 0
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Main Script:
test/test/test_stokes.py#L811
test_elasticity_pde[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-2-Biharmonic-0.5-False]
TypeError: no default __reduce__ due to non-trivial __cinit__
when serializing dict item 'L'
when serializing pytential.symbolic.pde.system_utils.LUFactorization state
when serializing pytential.symbolic.pde.system_utils.LUFactorization object
when serializing tuple item 0
when serializing dict item (<class 'pytools._HasKwargs'>, frozenset({('hashable_kernel_arguments', (('mu', 1),)), ('order', None)}))
when serializing dict item '_memoize_dic_pytential.symbolic.pde.system_utils_get_base_kernel_matrix_lu_factorization'
when serializing sumpy.kernel.BiharmonicKernel state
when serializing sumpy.kernel.BiharmonicKernel object
when serializing tuple item 0
when serializing tuple item 1
when serializing tuple item 0
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Main Script:
test/test/test_stokes.py#L811
test_elasticity_pde[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-2-Biharmonic-0.5-True]
TypeError: no default __reduce__ due to non-trivial __cinit__
when serializing dict item 'L'
when serializing pytential.symbolic.pde.system_utils.LUFactorization state
when serializing pytential.symbolic.pde.system_utils.LUFactorization object
when serializing tuple item 0
when serializing dict item (<class 'pytools._HasKwargs'>, frozenset({('hashable_kernel_arguments', (('mu', 1),)), ('order', None)}))
when serializing dict item '_memoize_dic_pytential.symbolic.pde.system_utils_get_base_kernel_matrix_lu_factorization'
when serializing sumpy.kernel.BiharmonicKernel state
when serializing sumpy.kernel.BiharmonicKernel object
when serializing tuple item 0
when serializing tuple item 1
when serializing tuple item 0
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Main Script:
test/test/test_stokes.py#L811
test_elasticity_pde[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-2-Biharmonic-0.4-False]
TypeError: no default __reduce__ due to non-trivial __cinit__
when serializing dict item 'L'
when serializing pytential.symbolic.pde.system_utils.LUFactorization state
when serializing pytential.symbolic.pde.system_utils.LUFactorization object
when serializing tuple item 0
when serializing dict item (<class 'pytools._HasKwargs'>, frozenset({('hashable_kernel_arguments', (('mu', 1), ('nu', 0.4))), ('order', None)}))
when serializing dict item '_memoize_dic_pytential.symbolic.pde.system_utils_get_base_kernel_matrix_lu_factorization'
when serializing sumpy.kernel.BiharmonicKernel state
when serializing sumpy.kernel.BiharmonicKernel object
when serializing tuple item 0
when serializing tuple item 1
when serializing tuple item 0
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Main Script:
test/test/test_stokes.py#L811
test_elasticity_pde[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-2-Biharmonic-0.4-True]
TypeError: no default __reduce__ due to non-trivial __cinit__
when serializing dict item 'L'
when serializing pytential.symbolic.pde.system_utils.LUFactorization state
when serializing pytential.symbolic.pde.system_utils.LUFactorization object
when serializing tuple item 0
when serializing dict item (<class 'pytools._HasKwargs'>, frozenset({('hashable_kernel_arguments', (('mu', 1),)), ('order', None)}))
when serializing dict item '_memoize_dic_pytential.symbolic.pde.system_utils_get_base_kernel_matrix_lu_factorization'
when serializing sumpy.kernel.BiharmonicKernel state
when serializing sumpy.kernel.BiharmonicKernel object
when serializing tuple item 0
when serializing tuple item 1
when serializing tuple item 0
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Main Script:
test/test/test_stokes.py#L811
test_elasticity_pde[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-3-Biharmonic-0.5-False]
TypeError: no default __reduce__ due to non-trivial __cinit__
when serializing dict item 'L'
when serializing pytential.symbolic.pde.system_utils.LUFactorization state
when serializing pytential.symbolic.pde.system_utils.LUFactorization object
when serializing tuple item 0
when serializing dict item (<class 'pytools._HasKwargs'>, frozenset({('hashable_kernel_arguments', (('mu', 1),)), ('order', None)}))
when serializing dict item '_memoize_dic_pytential.symbolic.pde.system_utils_get_base_kernel_matrix_lu_factorization'
when serializing sumpy.kernel.BiharmonicKernel state
when serializing sumpy.kernel.BiharmonicKernel object
when serializing tuple item 0
when serializing tuple item 1
when serializing tuple item 0
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Main Script:
test/test/test_stokes.py#L811
test_elasticity_pde[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-3-Biharmonic-0.4-False]
TypeError: no default __reduce__ due to non-trivial __cinit__
when serializing dict item 'L'
when serializing pytential.symbolic.pde.system_utils.LUFactorization state
when serializing pytential.symbolic.pde.system_utils.LUFactorization object
when serializing tuple item 0
when serializing dict item (<class 'pytools._HasKwargs'>, frozenset({('hashable_kernel_arguments', (('mu', 1), ('nu', 0.4))), ('order', None)}))
when serializing dict item '_memoize_dic_pytential.symbolic.pde.system_utils_get_base_kernel_matrix_lu_factorization'
when serializing sumpy.kernel.BiharmonicKernel state
when serializing sumpy.kernel.BiharmonicKernel object
when serializing tuple item 0
when serializing tuple item 1
when serializing tuple item 0
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Main Script:
.conda-root/envs/testing/lib/python3.14/site-packages/meshmode/dof_array.py#L79
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.
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Main Script:
.conda-root/envs/testing/lib/python3.14/site-packages/meshmode/dof_array.py#L79
'bcast_numpy_array=True' is deprecated and will be unsupported from 2025.
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Main Script:
.conda-root/envs/testing/lib/python3.14/site-packages/meshmode/dof_array.py#L79
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.
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Main Script:
.conda-root/envs/testing/lib/python3.14/site-packages/meshmode/dof_array.py#L79
'bcast_numpy_array=True' is deprecated and will be unsupported from 2025.
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Main Script:
.conda-root/envs/testing/lib/python3.14/site-packages/meshmode/dof_array.py#L79
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.
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Main Script:
.conda-root/envs/testing/lib/python3.14/site-packages/meshmode/dof_array.py#L79
'bcast_numpy_array=True' is deprecated and will be unsupported from 2025.
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Main Script:
.conda-root/envs/testing/lib/python3.14/site-packages/meshmode/dof_array.py#L79
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.
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Main Script:
.conda-root/envs/testing/lib/python3.14/site-packages/meshmode/dof_array.py#L79
'bcast_numpy_array=True' is deprecated and will be unsupported from 2025.
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Main Script:
.conda-root/envs/testing/lib/python3.14/site-packages/meshmode/dof_array.py#L79
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.
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Main Script:
.conda-root/envs/testing/lib/python3.14/site-packages/meshmode/dof_array.py#L79
'bcast_numpy_array=True' is deprecated and will be unsupported from 2025.
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