MAINT: always skip test_nan_propagation[cumulative_prod] (#265)

cumulative_sum is excluded, and so should be cumulative_prod

Author: ev-br

cupy-xfails.txt

@@ -191,5 +191,4 @@ array_api_tests/test_signatures.py::test_func_signature[bitwise_or]
 array_api_tests/test_signatures.py::test_func_signature[bitwise_right_shift]
 array_api_tests/test_signatures.py::test_func_signature[bitwise_xor]
 array_api_tests/test_special_cases.py::test_binary[nextafter(x1_i is +0 and x2_i is -0) -> -0]
-array_api_tests/test_special_cases.py::test_nan_propagation[cumulative_prod]
 

dask-xfails.txt

@@ -122,6 +122,7 @@ 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
 
+# 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]
 array_api_tests/test_special_cases.py::test_binary[floor_divide(x1_i is -infinity and isfinite(x2_i) and x2_i > 0) -> -infinity]
@@ -140,4 +141,3 @@ array_api_tests/test_special_cases.py::test_iop[__ifloordiv__(x1_i is -infinity
 array_api_tests/test_special_cases.py::test_iop[__ifloordiv__(x1_i is -infinity and isfinite(x2_i) and x2_i < 0) -> +infinity]
 array_api_tests/test_special_cases.py::test_iop[__ifloordiv__(isfinite(x1_i) and x1_i > 0 and x2_i is -infinity) -> -0]
 array_api_tests/test_special_cases.py::test_iop[__ifloordiv__(isfinite(x1_i) and x1_i < 0 and x2_i is +infinity) -> -0]
-array_api_tests/test_special_cases.py::test_nan_propagation[cumulative_prod]

numpy-1-21-xfails.txt

@@ -187,13 +187,13 @@ array_api_tests/test_signatures.py::test_array_method_signature[__dlpack__]
 array_api_tests/test_manipulation_functions.py::test_repeat
 
 # 2024.12 support
-array_api_tests/test_special_cases.py::test_nan_propagation[cumulative_prod]
-
 array_api_tests/test_signatures.py::test_func_signature[bitwise_and]
 array_api_tests/test_signatures.py::test_func_signature[bitwise_left_shift]
 array_api_tests/test_signatures.py::test_func_signature[bitwise_or]
 array_api_tests/test_signatures.py::test_func_signature[bitwise_right_shift]
 array_api_tests/test_signatures.py::test_func_signature[bitwise_xor]
+
+# Stubs have a comment: (**note**: libraries may return ``NaN`` to match Python behavior.); Apparently,NumPy does just that
 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]
 array_api_tests/test_special_cases.py::test_binary[floor_divide(x1_i is -infinity and isfinite(x2_i) and x2_i > 0) -> -infinity]

numpy-1-26-xfails.txt

@@ -41,13 +41,13 @@ array_api_tests/test_signatures.py::test_array_method_signature[__dlpack__]
 array_api_tests/test_manipulation_functions.py::test_repeat
 
 # 2024.12 support
-array_api_tests/test_special_cases.py::test_nan_propagation[cumulative_prod]
-
 array_api_tests/test_signatures.py::test_func_signature[bitwise_and]
 array_api_tests/test_signatures.py::test_func_signature[bitwise_left_shift]
 array_api_tests/test_signatures.py::test_func_signature[bitwise_or]
 array_api_tests/test_signatures.py::test_func_signature[bitwise_right_shift]
 array_api_tests/test_signatures.py::test_func_signature[bitwise_xor]
+
+# Stubs have a comment: (**note**: libraries may return ``NaN`` to match Python behavior.); Apparently, NumPy does just that
 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]
 array_api_tests/test_special_cases.py::test_binary[floor_divide(x1_i is -infinity and isfinite(x2_i) and x2_i > 0) -> -infinity]

numpy-dev-xfails.txt

@@ -11,13 +11,13 @@ array_api_tests/test_signatures.py::test_extension_func_signature[linalg.vecdot]
 array_api_tests/test_manipulation_functions.py::test_repeat
 
 # 2024.12 support
-array_api_tests/test_special_cases.py::test_nan_propagation[cumulative_prod]
-
 array_api_tests/test_signatures.py::test_func_signature[bitwise_and]
 array_api_tests/test_signatures.py::test_func_signature[bitwise_left_shift]
 array_api_tests/test_signatures.py::test_func_signature[bitwise_or]
 array_api_tests/test_signatures.py::test_func_signature[bitwise_right_shift]
 array_api_tests/test_signatures.py::test_func_signature[bitwise_xor]
+
+# Stubs have a comment: (**note**: libraries may return ``NaN`` to match Python behavior.); Apparently, NumPy does just that
 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]
 array_api_tests/test_special_cases.py::test_binary[floor_divide(x1_i is -infinity and isfinite(x2_i) and x2_i > 0) -> -infinity]

numpy-xfails.txt

@@ -13,8 +13,6 @@ array_api_tests/test_signatures.py::test_array_method_signature[__dlpack__]
 array_api_tests/test_manipulation_functions.py::test_repeat
 
 # 2024.12 support
-array_api_tests/test_special_cases.py::test_nan_propagation[cumulative_prod]
-
 array_api_tests/test_signatures.py::test_func_signature[bitwise_and]
 array_api_tests/test_signatures.py::test_func_signature[bitwise_left_shift]
 array_api_tests/test_signatures.py::test_func_signature[bitwise_or]

torch-xfails.txt

@@ -136,4 +136,3 @@ array_api_tests/test_signatures.py::test_array_method_signature[__lshift__]
 array_api_tests/test_signatures.py::test_array_method_signature[__or__]
 array_api_tests/test_signatures.py::test_array_method_signature[__rshift__]
 array_api_tests/test_signatures.py::test_array_method_signature[__xor__]
-array_api_tests/test_special_cases.py::test_nan_propagation[cumulative_prod]