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TST: add skips for broadcast_shapes #392

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TST: add skips for broadcast_shapes #392

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5 changes: 5 additions & 0 deletions dask-xfails.txt
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Original file line number Diff line number Diff line change
Expand Up @@ -129,6 +129,11 @@ array_api_tests/test_linalg.py::test_matrix_norm
array_api_tests/test_linalg.py::test_qr
array_api_tests/test_manipulation_functions.py::test_roll

# 2025.12 support
array_api_tests/test_data_type_functions.py::TestBroadcastShapes::test_broadcast_shapes
array_api_tests/test_data_type_functions.py::TestBroadcastShapes::test_empty
array_api_tests/test_data_type_functions.py::TestBroadcastShapes::test_error

# Stubs have a comment: (**note**: libraries may return ``NaN`` to match Python behavior.)
array_api_tests/test_special_cases.py::test_binary[floor_divide(x1_i is +infinity and isfinite(x2_i) and x2_i > 0) -> +infinity]
array_api_tests/test_special_cases.py::test_binary[floor_divide(x1_i is +infinity and isfinite(x2_i) and x2_i < 0) -> -infinity]
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5 changes: 5 additions & 0 deletions torch-xfails.txt
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Expand Up @@ -166,3 +166,8 @@ array_api_tests/test_operators_and_elementwise_functions.py::test_binary_with_sc
array_api_tests/test_operators_and_elementwise_functions.py::test_binary_with_scalars_bool[logical_and]
array_api_tests/test_operators_and_elementwise_functions.py::test_binary_with_scalars_bool[logical_or]
array_api_tests/test_operators_and_elementwise_functions.py::test_binary_with_scalars_bool[logical_xor]

# 2025.12 support

# torch raises a RuntimeError while the spec requires a ValueError
array_api_tests/test_data_type_functions.py::TestBroadcastShapes::test_error
Comment on lines +170 to +173
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Copilot AI Feb 23, 2026

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PR title/description says “add skips for broadcast_shapes”, but the changes here are adding entries to the xfails lists. If these tests should be skipped (e.g., due to hangs/flakiness), move them to the appropriate *-skips.txt; otherwise update the PR title/description to reflect that these are expected failures (xfails).

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