Smoke statistical functions

Author: honno

array_api_tests/test_statistical_functions.py

@@ -0,0 +1,54 @@
+from hypothesis import given
+
+from . import _array_module as xp
+from . import hypothesis_helpers as hh
+from . import xps
+
+
+# TODO generate kwargs
+@given(xps.arrays(dtype=xps.numeric_dtypes(), shape=hh.shapes(min_side=1)))
+def test_min(x):
+    xp.min(x)
+    # TODO
+
+
+# TODO generate kwargs
+@given(xps.arrays(dtype=xps.numeric_dtypes(), shape=hh.shapes(min_side=1)))
+def test_max(x):
+    xp.max(x)
+    # TODO
+
+
+# TODO generate kwargs
+@given(xps.arrays(dtype=xps.floating_dtypes(), shape=hh.shapes(min_side=1)))
+def test_mean(x):
+    xp.mean(x)
+    # TODO
+
+
+# TODO generate kwargs
+@given(xps.arrays(dtype=xps.numeric_dtypes(), shape=hh.shapes(min_side=1)))
+def test_prod(x):
+    xp.prod(x)
+    # TODO
+
+
+# TODO generate kwargs
+@given(xps.arrays(dtype=xps.floating_dtypes(), shape=hh.shapes(min_side=1)))
+def test_std(x):
+    xp.std(x)
+    # TODO
+
+
+# TODO generate kwargs
+@given(xps.arrays(dtype=xps.numeric_dtypes(), shape=hh.shapes(min_side=1)))
+def test_sum(x):
+    xp.sum(x)
+    # TODO
+
+
+# TODO generate kwargs
+@given(xps.arrays(dtype=xps.floating_dtypes(), shape=hh.shapes(min_side=1)))
+def test_var(x):
+    xp.var(x)
+    # TODO