Skip cumulative_sum in the nan propogation special case test

asmeurer · asmeurer · commit ebb4f3794c80 · 2024-05-16T12:02:19.000-06:00
nan propogation for cumulative_sum is more complicated. It would be better to
just check this directly in test_cumulative_sum.
diff --git a/array_api_tests/test_special_cases.py b/array_api_tests/test_special_cases.py
@@ -1323,7 +1323,8 @@ def test_empty_arrays(func_name, expected):  # TODO: parse docstrings to get exp
 
 
 @pytest.mark.parametrize(
-    "func_name", [f.__name__ for f in category_to_funcs["statistical"]]
+    "func_name", [f.__name__ for f in category_to_funcs["statistical"]
+                  if f.__name__ != 'cumulative_sum']
 )
 @given(
     x=hh.arrays(dtype=xps.floating_dtypes(), shape=hh.shapes(min_side=1)),

Original file line number	Diff line number	Diff line change
`@@ -1323,7 +1323,8 @@ def test_empty_arrays(func_name, expected): # TODO: parse docstrings to get exp`
`1323`	`1323`
`1324`	`1324`
`1325`	`1325`	`@pytest.mark.parametrize(`
`1326`		`- "func_name", [f.__name__ for f in category_to_funcs["statistical"]]`
	`1326`	`+ "func_name", [f.__name__ for f in category_to_funcs["statistical"]`
	`1327`	`+ if f.__name__ != 'cumulative_sum']`
`1327`	`1328`	`)`
`1328`	`1329`	`@given(`
`1329`	`1330`	`x=hh.arrays(dtype=xps.floating_dtypes(), shape=hh.shapes(min_side=1)),`