Find derivative recurrences from PDE (via parametric derivative taking) #1734
Triggered via pull request
September 9, 2025 15:49
Status
Failure
Total duration
39m 49s
Artifacts
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ci.yml
on: pull_request
Ruff
6s
Typos
4s
basedpyright
2m 52s
Pylint
2m 37s
Documentation
2m 12s
Conda Pytest
2m 16s
Conda Pytest Symengine
36m 12s
Conda Examples
2m 15s
Matrix: downstream_tests
Annotations
16 errors and 47 warnings
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Typos
Process completed with exit code 2.
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Ruff
Process completed with exit code 1.
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Documentation
Process completed with exit code 2.
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Conda Pytest
Process completed with exit code 1.
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Pylint
Process completed with exit code 2.
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basedpyright:
sumpy/recurrence.py#L450
Expected class but received "list[type[int] | type[Expr]]" (reportGeneralTypeIssues)
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basedpyright:
sumpy/recurrence.py#L450
List expression not allowed in type expression
Use list[T] to indicate a list type or T1 | T2 to indicate a union type (reportInvalidTypeForm)
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basedpyright:
sumpy/recurrence.py#L312
Cannot access attribute "subs" for class "int"
Attribute "subs" is unknown (reportAttributeAccessIssue)
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basedpyright:
sumpy/recurrence.py#L265
Type "Unknown | Literal[0]" is not assignable to return type "Expr"
Type "Unknown | Literal[0]" is not assignable to type "Expr"
"Literal[0]" is not assignable to "Expr" (reportReturnType)
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basedpyright:
sumpy/recurrence.py#L249
Expected type arguments for generic class "list" (reportMissingTypeArgument)
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basedpyright:
sumpy/recurrence.py#L241
Type "int" is not assignable to return type "Expr"
"int" is not assignable to "Expr" (reportReturnType)
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basedpyright:
sumpy/recurrence.py#L182
Type "Expr | Basic" is not assignable to return type "Expr"
Type "Expr | Basic" is not assignable to type "Expr"
"Basic" is not assignable to "Expr" (reportReturnType)
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basedpyright:
sumpy/recurrence.py#L133
Expected type arguments for generic class "dict" (reportMissingTypeArgument)
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basedpyright:
sumpy/recurrence.py#L130
Type "tuple[Expr | Unknown | Literal[0], ObjectArray1D[Symbol], int]" is not assignable to return type "tuple[Expr, ndarray[_AnyShape, dtype[Any]], int]"
Type "Expr | Unknown | Literal[0]" is not assignable to type "Expr"
"Literal[0]" is not assignable to "Expr"
"ObjectArray[tuple[int], Symbol]" is not assignable to "ndarray[_AnyShape, dtype[Any]]" (reportReturnType)
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basedpyright:
sumpy/recurrence.py#L128
Cannot access attribute "subs" for class "Literal[0]"
Attribute "subs" is unknown (reportAttributeAccessIssue)
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Conda Pytest Symengine
Process completed with exit code 1.
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Typos:
./sumpy/recurrence.py#L477
"SUBSITUTED" should be "SUBSTITUTED".
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Typos:
./test/test_recurrence_qbx.py#L187
"reccurrence" should be "recurrence".
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Typos:
./test/test_recurrence_qbx.py#L163
"reccurrence" should be "recurrence".
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Typos:
./test/test_recurrence_qbx.py#L128
"refinment" should be "refinement".
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Typos:
./test/test_recurrence_qbx.py#L123
"refinment" should be "refinement".
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Conda Pytest:
test/test_recurrence_qbx.py#L337
invalid escape sequence '\i'
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Conda Pytest:
sumpy/recurrence.py#L77
use obj_array.new_1d instead
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Conda Pytest:
sumpy/recurrence.py#L77
use obj_array.new_1d instead
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Conda Pytest:
sumpy/recurrence.py#L77
use obj_array.new_1d instead
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Conda Pytest:
sumpy/recurrence.py#L77
use obj_array.new_1d instead
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Conda Pytest:
sumpy/recurrence.py#L77
use obj_array.new_1d instead
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Conda Pytest:
sumpy/recurrence.py#L77
use obj_array.new_1d instead
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Conda Pytest:
sumpy/recurrence.py#L77
use obj_array.new_1d instead
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Conda Pytest:
sumpy/recurrence.py#L77
use obj_array.new_1d instead
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Conda Pytest:
sumpy/recurrence.py#L77
use obj_array.new_1d instead
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Pylint
modifying pylint run because we're on Python 3.13
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basedpyright:
sumpy/p2p.py#L731
Argument type is partially unknown
Argument corresponds to parameter "__p0"
Argument type is "TranslationUnit | Unknown" (reportUnknownArgumentType)
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basedpyright:
sumpy/p2p.py#L730
Argument type is partially unknown
Argument corresponds to parameter "__p0"
Argument type is "TranslationUnit | Unknown" (reportUnknownArgumentType)
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basedpyright:
sumpy/p2p.py#L729
Argument type is partially unknown
Argument corresponds to parameter "__p0"
Argument type is "TranslationUnit | Unknown" (reportUnknownArgumentType)
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basedpyright:
sumpy/p2p.py#L727
Argument type is partially unknown
Argument corresponds to parameter "__p0"
Argument type is "TranslationUnit | Unknown" (reportUnknownArgumentType)
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basedpyright:
sumpy/p2p.py#L726
Argument type is partially unknown
Argument corresponds to parameter "__p0"
Argument type is "TranslationUnit | Unknown" (reportUnknownArgumentType)
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basedpyright:
sumpy/p2p.py#L719
Argument type is partially unknown
Argument corresponds to parameter "__p0"
Argument type is "TranslationUnit | Unknown" (reportUnknownArgumentType)
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basedpyright:
sumpy/p2p.py#L718
Argument type is partially unknown
Argument corresponds to parameter "__p0"
Argument type is "TranslationUnit | Unknown" (reportUnknownArgumentType)
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basedpyright:
sumpy/p2p.py#L713
Argument type is partially unknown
Argument corresponds to parameter "__p0"
Argument type is "TranslationUnit | Unknown" (reportUnknownArgumentType)
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basedpyright:
sumpy/p2p.py#L665
Return type, "TranslationUnit | Unknown", is partially unknown (reportUnknownParameterType)
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basedpyright:
sumpy/derivative_taker.py#L288
Argument type is unknown
Argument corresponds to parameter "expr" in function "add_to_sac" (reportUnknownArgumentType)
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Conda Pytest Symengine:
sumpy/recurrence.py#L77
use obj_array.new_1d instead
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Conda Pytest Symengine:
sumpy/recurrence.py#L77
use obj_array.new_1d instead
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Conda Pytest Symengine:
sumpy/recurrence.py#L77
use obj_array.new_1d instead
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Conda Pytest Symengine:
sumpy/recurrence.py#L77
use obj_array.new_1d instead
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Conda Pytest Symengine:
sumpy/recurrence.py#L77
use obj_array.new_1d instead
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Conda Pytest Symengine:
sumpy/recurrence.py#L77
use obj_array.new_1d instead
|
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Conda Pytest Symengine:
sumpy/recurrence.py#L77
use obj_array.new_1d instead
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Conda Pytest Symengine:
sumpy/recurrence.py#L77
use obj_array.new_1d instead
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Conda Pytest Symengine:
sumpy/recurrence.py#L77
use obj_array.new_1d instead
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Conda Pytest Symengine:
sumpy/recurrence.py#L77
use obj_array.new_1d instead
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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.
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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.
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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.
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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
'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.
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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.
|
|
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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