QBMAX line expansion test#316
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10 errors and 10 warnings
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Main Script:
test/test/test_layer_pot_eigenvalues.py#L157
test_ellipse_eigenvalues[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-2-7-5-True]
ValueError: expansion_vec is required when using LineTaylorLocalExpansion
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Main Script:
test/test/test_layer_pot_eigenvalues.py#L157
test_ellipse_eigenvalues[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-2-7-5-True]
ValueError: expansion_vec is required when using LineTaylorLocalExpansion
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Main Script:
test/test/test_beltrami.py#L249
test_beltrami_convergence[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-operator3-solution3]
ValueError: expansion_vec is required when using LineTaylorLocalExpansion
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Main Script:
test/test/test_beltrami.py#L249
test_beltrami_convergence[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-operator3-solution3]
ValueError: expansion_vec is required when using LineTaylorLocalExpansion
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Main Script:
test/test/test_beltrami.py#L244
test_beltrami_convergence[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-operator2-solution2]
ValueError: expansion_vec is required when using LineTaylorLocalExpansion
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Main Script:
test/test/test_beltrami.py#L244
test_beltrami_convergence[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-operator2-solution2]
ValueError: expansion_vec is required when using LineTaylorLocalExpansion
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Main Script:
test/test/test_beltrami.py#L257
test_beltrami_convergence[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-operator1-solution1]
ValueError: expansion_vec is required when using LineTaylorLocalExpansion
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Main Script:
test/test/test_beltrami.py#L257
test_beltrami_convergence[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-operator1-solution1]
ValueError: expansion_vec is required when using LineTaylorLocalExpansion
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Main Script:
test/test/test_beltrami.py#L244
test_beltrami_convergence[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-operator0-solution0]
ValueError: expansion_vec is required when using LineTaylorLocalExpansion
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Main Script:
test/test/test_beltrami.py#L244
test_beltrami_convergence[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-operator0-solution0]
ValueError: expansion_vec is required when using LineTaylorLocalExpansion
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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
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
'bcast_numpy_array=True' is deprecated and will be unsupported from 2025.
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