Skip the same tests on NumPy as Torch

They also cause floating-point exceptions on CI. There must be some issue with
the underlying CI math library.

Author: asmeurer

numpy-skips.txt

@@ -0,0 +1,10 @@
+# These tests cause a core dump on CI, so we have to skip them entirely
+array_api_tests/test_operators_and_elementwise_functions.py::test_remainder[remainder(x1, x2)]
+array_api_tests/test_operators_and_elementwise_functions.py::test_remainder[__mod__(x, s)]
+array_api_tests/test_operators_and_elementwise_functions.py::test_remainder[__mod__(x1, x2)]
+array_api_tests/test_operators_and_elementwise_functions.py::test_remainder[__imod__(x1, x2)]
+array_api_tests/test_operators_and_elementwise_functions.py::test_remainder[__imod__(x, s)]
+array_api_tests/test_operators_and_elementwise_functions.py::test_floor_divide[floor_divide(x1, x2)]
+array_api_tests/test_operators_and_elementwise_functions.py::test_floor_divide[__floordiv__(x1, x2)]
+array_api_tests/test_operators_and_elementwise_functions.py::test_floor_divide[__ifloordiv__(x1, x2)]
+array_api_tests/test_operators_and_elementwise_functions.py::test_floor_divide[__ifloordiv__(x, s)]