test_array_context_np_like[<PytatoPyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-zeros_like-1-float64] ValueError: cache collision detected on <class 'pytato.array.IndexLambda'> in <class 'arraycontext.impl.pytato.utils._DatawrapperToBoundPlaceholderMapper'>.

test_array_context_np_like[<PytatoPyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-zeros_like-1-complex128] ValueError: cache collision detected on <class 'pytato.array.IndexLambda'> in <class 'arraycontext.impl.pytato.utils._DatawrapperToBoundPlaceholderMapper'>.

test_array_context_np_like[<PytatoJAXArrayContext>-zeros_like-1-float64] ValueError: cache collision detected on <class 'pytato.array.IndexLambda'> in <class 'pytato.transform.InputGatherer'>.

test_array_context_np_like[<PytatoJAXArrayContext>-zeros_like-1-complex128] ValueError: cache collision detected on <class 'pytato.array.IndexLambda'> in <class 'pytato.transform.InputGatherer'>.

test_array_context_np_like[<PytatoJAXArrayContext>-ones_like-1-float64] ValueError: cache collision detected on <class 'pytato.array.IndexLambda'> in <class 'pytato.transform.InputGatherer'>.

test_array_context_np_like[<PytatoPyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-ones_like-1-float64] ValueError: cache collision detected on <class 'pytato.array.IndexLambda'> in <class 'arraycontext.impl.pytato.utils._DatawrapperToBoundPlaceholderMapper'>.

test_array_context_np_like[<PytatoJAXArrayContext>-ones_like-1-complex128] ValueError: cache collision detected on <class 'pytato.array.IndexLambda'> in <class 'pytato.transform.InputGatherer'>.

test_array_context_np_like[<PytatoPyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-ones_like-1-complex128] ValueError: cache collision detected on <class 'pytato.array.IndexLambda'> in <class 'arraycontext.impl.pytato.utils._DatawrapperToBoundPlaceholderMapper'>.

test_container_map[<PytatoJAXArrayContext>] ValueError: cache collision detected on <class 'pytato.array.IndexLambda'> in <class 'pytato.transform.InputGatherer'>.

test_container_map[<PytatoPyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>] ValueError: cache collision detected on <class 'pytato.array.IndexLambda'> in <class 'arraycontext.impl.pytato.utils._DatawrapperToBoundPlaceholderMapper'>.

The job was canceled because "arraycontext" failed.

The operation was canceled.

The job was canceled because "arraycontext" failed.

The operation was canceled.

Process completed with exit code 1.

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.

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'>.

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

<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 '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 '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'>.

<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.

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.