Expn typing #1792
Triggered via pull request
October 22, 2025 18:41
Status
Cancelled
Total duration
16m 51s
Artifacts
–
ci.yml
on: pull_request
Ruff
6s
Typos
4s
basedpyright
2m 31s
Documentation
2m 4s
Conda Pytest
16m 26s
Conda Pytest Symengine
16m 25s
Conda Examples
2m 14s
Matrix: downstream_tests
Annotations
43 errors and 30 warnings
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Documentation
Process completed with exit code 2.
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Conda Examples
Process completed with exit code 1.
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basedpyright
Process completed with exit code 1.
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basedpyright
5 errors
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basedpyright:
sumpy/test/test_kernels.py#L851
Argument of type "floating[Any]" cannot be assigned to parameter "error" of type "float" in function "add_data_point"
"floating[Any]" is not assignable to "float" (reportArgumentType)
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basedpyright:
sumpy/symbolic.py#L364
Type "SympyLikeExpression" is not assignable to return type "Expr"
"Basic" is not assignable to "Expr" (reportReturnType)
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basedpyright:
sumpy/symbolic.py#L341
Type "SympyLikeExpression" is not assignable to return type "Expr"
"Basic" is not assignable to "Expr" (reportReturnType)
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basedpyright:
sumpy/kernel.py#L449
Type "SympyLikeExpression" is not assignable to return type "Expr"
"Basic" is not assignable to "Expr" (reportReturnType)
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basedpyright:
sumpy/kernel.py#L444
Type "Unknown | SympyLikeExpression" is not assignable to return type "Expr"
Type "Unknown | SympyLikeExpression" is not assignable to type "Expr"
"Basic" is not assignable to "Expr" (reportReturnType)
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Conda Pytest Symengine
Canceling since a higher priority waiting request for expn-typing exists
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Conda Pytest Symengine:
test/sumpy/test/test_fmm.py#L127
test_sumpy_fmm[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-knl1-LinearPDEConformingVolumeTaylorLocalExpansion-LinearPDEConformingVolumeTaylorMultipoleExpansion-False-True-True-pyvkfft]
TypeError: LinearPDEBasedExpansionTermsWrangler.__init__() missing 1 required positional argument: 'knl'
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Conda Pytest Symengine:
test/sumpy/test/test_fmm.py#L446
test_unified_single_and_double[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>]
TypeError: LinearPDEBasedExpansionTermsWrangler.__init__() missing 1 required positional argument: 'knl'
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Conda Pytest Symengine:
test/sumpy/test/test_fmm.py#L127
test_sumpy_fmm[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-knl5-LinearPDEConformingVolumeTaylorLocalExpansion-LinearPDEConformingVolumeTaylorMultipoleExpansion-False-True-True-loopy]
TypeError: LinearPDEBasedExpansionTermsWrangler.__init__() missing 1 required positional argument: 'knl'
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Conda Pytest Symengine:
test/sumpy/test/test_fmm.py#L127
test_sumpy_fmm[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-knl1-LinearPDEConformingVolumeTaylorLocalExpansion-LinearPDEConformingVolumeTaylorMultipoleExpansion-False-True-True-loopy]
TypeError: LinearPDEBasedExpansionTermsWrangler.__init__() missing 1 required positional argument: 'knl'
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Conda Pytest Symengine:
test/sumpy/test/test_fmm.py#L361
test_coeff_magnitude_rscale[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-knl1]
AssertionError: np.float64(55851775.859486066)
assert np.float64(55851775.859486066) < (10 ** 6)
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Conda Pytest Symengine:
test/sumpy/test/test_fmm.py#L131
test_sumpy_fmm[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-knl5-LinearPDEConformingVolumeTaylorLocalExpansion-LinearPDEConformingVolumeTaylorMultipoleExpansion-False-True-False-None]
TypeError: LinearPDEBasedExpansionTermsWrangler.__init__() missing 1 required positional argument: 'knl'
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Conda Pytest Symengine:
test/sumpy/test/test_fmm.py#L131
test_sumpy_fmm[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-knl1-LinearPDEConformingVolumeTaylorLocalExpansion-LinearPDEConformingVolumeTaylorMultipoleExpansion-False-True-False-None]
TypeError: LinearPDEBasedExpansionTermsWrangler.__init__() missing 1 required positional argument: 'knl'
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Conda Pytest Symengine:
test/sumpy/test/test_fmm.py#L131
test_sumpy_fmm[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-knl5-LinearPDEConformingVolumeTaylorLocalExpansion-LinearPDEConformingVolumeTaylorMultipoleExpansion-False-False-False-None]
TypeError: LinearPDEBasedExpansionTermsWrangler.__init__() missing 1 required positional argument: 'knl'
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Conda Pytest Symengine:
test/sumpy/test/test_fmm.py#L131
test_sumpy_fmm[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-knl1-LinearPDEConformingVolumeTaylorLocalExpansion-LinearPDEConformingVolumeTaylorMultipoleExpansion-False-False-False-None]
TypeError: LinearPDEBasedExpansionTermsWrangler.__init__() missing 1 required positional argument: 'knl'
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Conda Pytest Symengine:
test/sumpy/test/test_fmm.py#L361
test_coeff_magnitude_rscale[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-knl0]
AssertionError: np.float64(631085140.223572)
assert np.float64(631085140.223572) < (10 ** 6)
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Conda Pytest
Canceling since a higher priority waiting request for expn-typing exists
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Conda Pytest:
test/sumpy/test/test_fmm.py#L127
test_sumpy_fmm[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-knl1-LinearPDEConformingVolumeTaylorLocalExpansion-LinearPDEConformingVolumeTaylorMultipoleExpansion-False-True-True-pyvkfft]
TypeError: LinearPDEBasedExpansionTermsWrangler.__init__() missing 1 required positional argument: 'knl'
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Conda Pytest:
test/sumpy/test/test_fmm.py#L446
test_unified_single_and_double[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>]
TypeError: LinearPDEBasedExpansionTermsWrangler.__init__() missing 1 required positional argument: 'knl'
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Conda Pytest:
test/sumpy/test/test_fmm.py#L127
test_sumpy_fmm[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-knl5-LinearPDEConformingVolumeTaylorLocalExpansion-LinearPDEConformingVolumeTaylorMultipoleExpansion-False-True-True-loopy]
TypeError: LinearPDEBasedExpansionTermsWrangler.__init__() missing 1 required positional argument: 'knl'
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Conda Pytest:
test/sumpy/test/test_fmm.py#L127
test_sumpy_fmm[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-knl1-LinearPDEConformingVolumeTaylorLocalExpansion-LinearPDEConformingVolumeTaylorMultipoleExpansion-False-True-True-loopy]
TypeError: LinearPDEBasedExpansionTermsWrangler.__init__() missing 1 required positional argument: 'knl'
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Conda Pytest:
test/sumpy/test/test_fmm.py#L361
test_coeff_magnitude_rscale[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-knl1]
AssertionError: np.float64(55851775.859486066)
assert np.float64(55851775.859486066) < (10 ** 6)
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Conda Pytest:
test/sumpy/test/test_fmm.py#L131
test_sumpy_fmm[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-knl5-LinearPDEConformingVolumeTaylorLocalExpansion-LinearPDEConformingVolumeTaylorMultipoleExpansion-False-True-False-None]
TypeError: LinearPDEBasedExpansionTermsWrangler.__init__() missing 1 required positional argument: 'knl'
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Conda Pytest:
test/sumpy/test/test_fmm.py#L131
test_sumpy_fmm[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-knl1-LinearPDEConformingVolumeTaylorLocalExpansion-LinearPDEConformingVolumeTaylorMultipoleExpansion-False-True-False-None]
TypeError: LinearPDEBasedExpansionTermsWrangler.__init__() missing 1 required positional argument: 'knl'
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Conda Pytest:
test/sumpy/test/test_fmm.py#L131
test_sumpy_fmm[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-knl5-LinearPDEConformingVolumeTaylorLocalExpansion-LinearPDEConformingVolumeTaylorMultipoleExpansion-False-False-False-None]
TypeError: LinearPDEBasedExpansionTermsWrangler.__init__() missing 1 required positional argument: 'knl'
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Conda Pytest:
test/sumpy/test/test_fmm.py#L361
test_coeff_magnitude_rscale[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-knl0]
AssertionError: np.float64(631085140.2235717)
assert np.float64(631085140.2235717) < (10 ** 6)
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Conda Pytest:
test/sumpy/test/test_fmm.py#L131
test_sumpy_fmm[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-knl1-LinearPDEConformingVolumeTaylorLocalExpansion-LinearPDEConformingVolumeTaylorMultipoleExpansion-False-False-False-None]
TypeError: LinearPDEBasedExpansionTermsWrangler.__init__() missing 1 required positional argument: 'knl'
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Tests for downstream project pytential
Canceling since a higher priority waiting request for expn-typing exists
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Tests for downstream project pytential:
pytential/test/test/test_layer_pot_identity.py#L337
test_identity_convergence[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-case2]
TypeError: LinearPDEBasedExpansionTermsWrangler.__init__() missing 1 required positional argument: 'knl'
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Tests for downstream project pytential:
pytential/test/test/test_layer_pot_identity.py#L337
test_identity_convergence[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-case1]
TypeError: LinearPDEBasedExpansionTermsWrangler.__init__() missing 1 required positional argument: 'knl'
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Tests for downstream project pytential:
pytential/test/test/test_layer_pot_identity.py#L337
test_identity_convergence[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-case0]
TypeError: LinearPDEBasedExpansionTermsWrangler.__init__() missing 1 required positional argument: 'knl'
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Tests for downstream project pytential:
pytential/test/test/test_layer_pot.py#L434
test_unregularized_off_surface_fmm_vs_direct[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>]
TypeError: LinearPDEBasedExpansionTermsWrangler.__init__() missing 1 required positional argument: 'knl'
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Tests for downstream project pytential:
pytential/test/test/test_layer_pot.py#L302
test_single_plus_double_with_single_fmm[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>]
TypeError: LinearPDEBasedExpansionTermsWrangler.__init__() missing 1 required positional argument: 'knl'
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Tests for downstream project pytential:
pytential/test/test/test_layer_pot_eigenvalues.py#L334
test_sphere_eigenvalues[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-sumpy-2-3-3]
TypeError: LinearPDEBasedExpansionTermsWrangler.__init__() missing 1 required positional argument: 'knl'
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Tests for downstream project pytential:
pytential/test/test/test_layer_pot.py#L214
test_off_surface_eval_vs_direct[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>]
TypeError: LinearPDEBasedExpansionTermsWrangler.__init__() missing 1 required positional argument: 'knl'
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Tests for downstream project pytential:
pytential/test/test/test_layer_pot_eigenvalues.py#L161
test_ellipse_eigenvalues[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-2-7-5-False]
TypeError: LinearPDEBasedExpansionTermsWrangler.__init__() missing 1 required positional argument: 'knl'
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Tests for downstream project pytential:
pytential/test/test/test_layer_pot_eigenvalues.py#L161
test_ellipse_eigenvalues[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-1-7-5-False]
TypeError: LinearPDEBasedExpansionTermsWrangler.__init__() missing 1 required positional argument: 'knl'
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Tests for downstream project pytential:
pytential/test/test/test_layer_pot.py#L130
test_off_surface_eval[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-True]
TypeError: LinearPDEBasedExpansionTermsWrangler.__init__() missing 1 required positional argument: 'knl'
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CI
Canceling since a higher priority waiting request for expn-typing exists
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Conda Pytest Symengine:
.conda-root/envs/testing/lib/python3.13/site-packages/loopy/isl_helpers.py#L198
Aff.is_equal with implicit conversion of self to PwAff is deprecated and will stop working in 2026. Explicitly convert to PwAff, using .to_pw_aff().
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Conda Pytest Symengine:
.conda-root/envs/testing/lib/python3.13/site-packages/loopy/isl_helpers.py#L198
Aff.is_equal with implicit conversion of self to PwAff is deprecated and will stop working in 2026. Explicitly convert to PwAff, using .to_pw_aff().
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Conda Pytest Symengine:
.conda-root/envs/testing/lib/python3.13/site-packages/loopy/isl_helpers.py#L198
Aff.is_equal with implicit conversion of self to PwAff is deprecated and will stop working in 2026. Explicitly convert to PwAff, using .to_pw_aff().
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Conda Pytest Symengine:
.conda-root/envs/testing/lib/python3.13/site-packages/loopy/isl_helpers.py#L198
Aff.is_equal with implicit conversion of self to PwAff is deprecated and will stop working in 2026. Explicitly convert to PwAff, using .to_pw_aff().
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Conda Pytest Symengine:
.conda-root/envs/testing/lib/python3.13/site-packages/loopy/isl_helpers.py#L198
Aff.is_equal with implicit conversion of self to PwAff is deprecated and will stop working in 2026. Explicitly convert to PwAff, using .to_pw_aff().
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Conda Pytest Symengine:
.conda-root/envs/testing/lib/python3.13/site-packages/loopy/isl_helpers.py#L198
Aff.is_equal with implicit conversion of self to PwAff is deprecated and will stop working in 2026. Explicitly convert to PwAff, using .to_pw_aff().
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Conda Pytest Symengine:
.conda-root/envs/testing/lib/python3.13/site-packages/boxtree/array_context.py#L57
Using the base PyOpenCLArrayContext.transform_loopy_program to transform a translation unit. This is largely a no-op and unlikely to result in fast generated code.Instead, subclass PyOpenCLArrayContext and implement the specific transform logic required to transform the program for your package or application. Check higher-level packages (e.g. meshmode), which may already have subclasses you may want to build on.
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Conda Pytest Symengine:
.conda-root/envs/testing/lib/python3.13/site-packages/loopy/isl_helpers.py#L198
Aff.is_equal with implicit conversion of self to PwAff is deprecated and will stop working in 2026. Explicitly convert to PwAff, using .to_pw_aff().
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Conda Pytest Symengine:
.conda-root/envs/testing/lib/python3.13/site-packages/loopy/isl_helpers.py#L198
Aff.is_equal with implicit conversion of self to PwAff is deprecated and will stop working in 2026. Explicitly convert to PwAff, using .to_pw_aff().
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Conda Pytest Symengine:
.conda-root/envs/testing/lib/python3.13/site-packages/loopy/isl_helpers.py#L198
Aff.is_equal with implicit conversion of self to PwAff is deprecated and will stop working in 2026. Explicitly convert to PwAff, using .to_pw_aff().
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Conda Pytest:
.conda-root/envs/testing/lib/python3.14/site-packages/loopy/isl_helpers.py#L198
Aff.is_equal with implicit conversion of self to PwAff is deprecated and will stop working in 2026. Explicitly convert to PwAff, using .to_pw_aff().
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Conda Pytest:
.conda-root/envs/testing/lib/python3.14/site-packages/loopy/isl_helpers.py#L198
Aff.is_equal with implicit conversion of self to PwAff is deprecated and will stop working in 2026. Explicitly convert to PwAff, using .to_pw_aff().
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Conda Pytest:
.conda-root/envs/testing/lib/python3.14/site-packages/loopy/isl_helpers.py#L198
Aff.is_equal with implicit conversion of self to PwAff is deprecated and will stop working in 2026. Explicitly convert to PwAff, using .to_pw_aff().
|
|
Conda Pytest:
.conda-root/envs/testing/lib/python3.14/site-packages/loopy/isl_helpers.py#L198
Aff.is_equal with implicit conversion of self to PwAff is deprecated and will stop working in 2026. Explicitly convert to PwAff, using .to_pw_aff().
|
|
Conda Pytest:
.conda-root/envs/testing/lib/python3.14/site-packages/loopy/isl_helpers.py#L198
Aff.is_equal with implicit conversion of self to PwAff is deprecated and will stop working in 2026. Explicitly convert to PwAff, using .to_pw_aff().
|
|
Conda Pytest:
.conda-root/envs/testing/lib/python3.14/site-packages/loopy/isl_helpers.py#L198
Aff.is_equal with implicit conversion of self to PwAff is deprecated and will stop working in 2026. Explicitly convert to PwAff, using .to_pw_aff().
|
|
Conda Pytest:
.conda-root/envs/testing/lib/python3.14/site-packages/loopy/isl_helpers.py#L198
Aff.is_equal with implicit conversion of self to PwAff is deprecated and will stop working in 2026. Explicitly convert to PwAff, using .to_pw_aff().
|
|
Conda Pytest:
.conda-root/envs/testing/lib/python3.14/site-packages/loopy/isl_helpers.py#L198
Aff.is_equal with implicit conversion of self to PwAff is deprecated and will stop working in 2026. Explicitly convert to PwAff, using .to_pw_aff().
|
|
Conda Pytest:
.conda-root/envs/testing/lib/python3.14/site-packages/loopy/isl_helpers.py#L198
Aff.is_equal with implicit conversion of self to PwAff is deprecated and will stop working in 2026. Explicitly convert to PwAff, using .to_pw_aff().
|
|
Conda Pytest:
.conda-root/envs/testing/lib/python3.14/site-packages/loopy/isl_helpers.py#L198
Aff.is_equal with implicit conversion of self to PwAff is deprecated and will stop working in 2026. Explicitly convert to PwAff, using .to_pw_aff().
|
|
Tests for downstream project pytential:
pytential/.conda-root/envs/testing/lib/python3.13/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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Tests for downstream project pytential:
pytential/.conda-root/envs/testing/lib/python3.13/site-packages/meshmode/dof_array.py#L79
'bcast_numpy_array=True' is deprecated and will be unsupported from 2025.
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Tests for downstream project pytential:
pytential/.conda-root/envs/testing/lib/python3.13/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.
|
|
Tests for downstream project pytential:
pytential/.conda-root/envs/testing/lib/python3.13/site-packages/meshmode/dof_array.py#L79
'bcast_numpy_array=True' is deprecated and will be unsupported from 2025.
|
|
Tests for downstream project pytential:
pytential/.conda-root/envs/testing/lib/python3.13/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.
|
|
Tests for downstream project pytential:
pytential/.conda-root/envs/testing/lib/python3.13/site-packages/meshmode/dof_array.py#L79
'bcast_numpy_array=True' is deprecated and will be unsupported from 2025.
|
|
Tests for downstream project pytential:
pytential/.conda-root/envs/testing/lib/python3.13/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.
|
|
Tests for downstream project pytential:
pytential/.conda-root/envs/testing/lib/python3.13/site-packages/meshmode/dof_array.py#L79
'bcast_numpy_array=True' is deprecated and will be unsupported from 2025.
|
|
Tests for downstream project pytential:
pytential/.conda-root/envs/testing/lib/python3.13/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.
|
|
Tests for downstream project pytential:
pytential/.conda-root/envs/testing/lib/python3.13/site-packages/meshmode/dof_array.py#L79
'bcast_numpy_array=True' is deprecated and will be unsupported from 2025.
|