add new tests to improve coverage

Author: vtavana

tests/test_statistics.py

@@ -1,3 +1,4 @@
+import dpctl.tensor as dpt
 import numpy
 import pytest
 from numpy.testing import assert_allclose
@@ -61,27 +62,44 @@ def test_max_min_bool(axis, keepdims):
     assert_allclose(dpnp_res, np_res)
 
 
-@pytest.mark.parametrize("axis", [None, 0, 1, -1, 2, -2, (1, 2), (0, -2)])
-@pytest.mark.parametrize("keepdims", [False, True])
-@pytest.mark.parametrize("dtype", get_all_dtypes(no_bool=True))
-def test_max_min_out(axis, keepdims, dtype):
-    a = numpy.arange(768, dtype=dtype).reshape((4, 4, 6, 8))
+def test_max_min_out():
+    a = numpy.arange(6).reshape((2, 3))
     ia = dpnp.array(a)
 
-    np_res = numpy.max(a, axis=axis, keepdims=keepdims)
+    np_res = numpy.max(a, axis=0)
     dpnp_res = dpnp.array(numpy.empty_like(np_res))
-    dpnp.max(ia, axis=axis, keepdims=keepdims, out=dpnp_res)
+    dpnp.max(ia, axis=0, out=dpnp_res)
+    assert_allclose(dpnp_res, np_res)
 
-    assert dpnp_res.shape == np_res.shape
+    dpnp_res = dpt.asarray(numpy.empty_like(np_res))
+    dpnp.max(ia, axis=0, out=dpnp_res)
     assert_allclose(dpnp_res, np_res)
 
-    np_res = numpy.min(a, axis=axis, keepdims=keepdims)
+    dpnp_res = numpy.empty_like(np_res)
+    with pytest.raises(TypeError):
+        dpnp.max(ia, axis=0, out=dpnp_res)
+
+    dpnp_res = dpnp.array(numpy.empty((2, 3)))
+    with pytest.raises(ValueError):
+        dpnp.max(ia, axis=0, out=dpnp_res)
+
+    np_res = numpy.min(a, axis=0)
     dpnp_res = dpnp.array(numpy.empty_like(np_res))
-    dpnp.min(ia, axis=axis, keepdims=keepdims, out=dpnp_res)
+    dpnp.min(ia, axis=0, out=dpnp_res)
+    assert_allclose(dpnp_res, np_res)
 
-    assert dpnp_res.shape == np_res.shape
+    dpnp_res = dpt.asarray(numpy.empty_like(np_res))
+    dpnp.min(ia, axis=0, out=dpnp_res)
     assert_allclose(dpnp_res, np_res)
 
+    dpnp_res = numpy.empty_like(np_res)
+    with pytest.raises(TypeError):
+        dpnp.min(ia, axis=0, out=dpnp_res)
+
+    dpnp_res = dpnp.array(numpy.empty((2, 3)))
+    with pytest.raises(ValueError):
+        dpnp.min(ia, axis=0, out=dpnp_res)
+
 
 def test_max_min_NotImplemented():
     ia = dpnp.arange(5)
@@ -94,7 +112,7 @@ def test_max_min_NotImplemented():
     with pytest.raises(NotImplementedError):
         dpnp.min(ia, where=False)
     with pytest.raises(NotImplementedError):
-        dpnp.max(ia, initial=6)
+        dpnp.min(ia, initial=6)
 
 
 @pytest.mark.usefixtures("allow_fall_back_on_numpy")