diff --git a/dask-xfails.txt b/dask-xfails.txt index 353c6f1..9b6406d 100644 --- a/dask-xfails.txt +++ b/dask-xfails.txt @@ -1,25 +1,3 @@ -# This fails in dask -# import dask.array as da -# a = da.array([1]).reshape((1,1)) -# key = (0, slice(None, None, -1)) -# a[key] = da.array([1]) - -# Failing hypothesis test case -#x=dask.array -#| Draw 1 (key): (slice(None, None, None), slice(None, None, None)) -#| Draw 2 (value): dask.array - -# Various shape mismatches e.g. -ValueError: shape mismatch: value array of shape (0, 2) could not be broadcast to indexing result of shape (0, 2) -array_api_tests/test_array_object.py::test_setitem - -# Fails since bad upcast from uint8 -> int64 -# MRE: -# a = da.array(0, dtype="uint8") -# b = da.array(False) -# a[b] = 0 -array_api_tests/test_array_object.py::test_setitem_masking - # Various indexing errors array_api_tests/test_array_object.py::test_getitem_masking @@ -33,17 +11,6 @@ array_api_tests/test_data_type_functions.py::test_finfo[float32] # (I think the test is not forcing the op to be computed?) array_api_tests/test_creation_functions.py::test_linspace -# out.shape=(2,) but should be (1,) -array_api_tests/test_indexing_functions.py::test_take - -# out=-0, but should be +0 -array_api_tests/test_special_cases.py::test_binary[__pow__(x1_i is -0 and x2_i > 0 and not (x2_i.is_integer() and x2_i % 2 == 1)) -> +0] -array_api_tests/test_special_cases.py::test_iop[__ipow__(x1_i is -0 and x2_i > 0 and not (x2_i.is_integer() and x2_i % 2 == 1)) -> +0] - -# output is nan but should be infinity -array_api_tests/test_special_cases.py::test_iop[__ipow__(x1_i is -infinity and x2_i > 0 and not (x2_i.is_integer() and x2_i % 2 == 1)) -> +infinity] -array_api_tests/test_special_cases.py::test_binary[__pow__(x1_i is -infinity and x2_i > 0 and not (x2_i.is_integer() and x2_i % 2 == 1)) -> +infinity] - # Array methods and attributes not already on da.Array cannot be wrapped array_api_tests/test_has_names.py::test_has_names[array_method-__array_namespace__] array_api_tests/test_has_names.py::test_has_names[array_method-to_device] @@ -63,7 +30,6 @@ array_api_tests/test_set_functions.py::test_unique_values # fails for ndim > 2 array_api_tests/test_linalg.py::test_svdvals -array_api_tests/test_linalg.py::test_cholesky # dtype mismatch got uint64, but should be uint8, NPY_PROMOTION_STATE=weak doesn't help :( array_api_tests/test_linalg.py::test_tensordot @@ -71,17 +37,10 @@ array_api_tests/test_linalg.py::test_tensordot # AssertionError: out.dtype=uint64, but should be uint8 [tensordot(uint8, uint8)] array_api_tests/test_linalg.py::test_linalg_tensordot -# AssertionError: out.shape=(1,), but should be () [linalg.vector_norm(keepdims=True)] -array_api_tests/test_linalg.py::test_vector_norm - # ZeroDivisionError in dask's normalize_chunks/auto_chunks internals array_api_tests/test_linalg.py::test_inv array_api_tests/test_linalg.py::test_matrix_power -# did not raise error for invalid shapes -array_api_tests/test_linalg.py::test_matmul -array_api_tests/test_linalg.py::test_linalg_matmul - # Linalg - these don't exist in dask array_api_tests/test_signatures.py::test_extension_func_signature[linalg.cross] array_api_tests/test_signatures.py::test_extension_func_signature[linalg.det] @@ -94,7 +53,6 @@ array_api_tests/test_linalg.py::test_cross array_api_tests/test_linalg.py::test_det array_api_tests/test_linalg.py::test_eigh array_api_tests/test_linalg.py::test_eigvalsh -array_api_tests/test_linalg.py::test_matrix_norm array_api_tests/test_linalg.py::test_matrix_rank array_api_tests/test_linalg.py::test_pinv array_api_tests/test_linalg.py::test_slogdet @@ -106,14 +64,10 @@ array_api_tests/test_has_names.py::test_has_names[linalg-matrix_power] array_api_tests/test_has_names.py::test_has_names[linalg-pinv] array_api_tests/test_has_names.py::test_has_names[linalg-slogdet] -# missing mode kw -# https://github.com/dask/dask/issues/10388 -array_api_tests/test_linalg.py::test_qr - # Constructing the input arrays fails to a weird shape error... array_api_tests/test_linalg.py::test_solve -# missing full_matrics kw +# missing full_matrices kw # https://github.com/dask/dask/issues/10389 # also only supports 2-d inputs array_api_tests/test_linalg.py::test_svd @@ -128,17 +82,12 @@ array_api_tests/test_has_names.py::test_has_names[creation-from_dlpack] array_api_tests/test_has_names.py::test_has_names[array_method-__dlpack__] array_api_tests/test_has_names.py::test_has_names[array_method-__dlpack_device__] -# Some cases unsupported by dask -array_api_tests/test_manipulation_functions.py::test_roll - # No mT on dask array array_api_tests/meta/test_hypothesis_helpers.py::test_symmetric_matrices -# The test suite is incorrectly checking sums that have loss of significance -# (https://github.com/data-apis/array-api-tests/issues/168) -array_api_tests/test_statistical_functions.py::test_sum -array_api_tests/test_statistical_functions.py::test_prod +# Edge case of args near 2**63 +# https://github.com/dask/dask/issues/11706 +array_api_tests/test_creation_functions.py::test_arange # 2023.12 support array_api_tests/test_manipulation_functions.py::test_repeat -array_api_tests/test_searching_functions.py::test_searchsorted