Update test_amin_amax and use black 22.6.0

Author: vlad-perevezentsev

tests/test_amin_amax.py

@@ -5,11 +5,16 @@
 import numpy
 
 
-@pytest.mark.parametrize("type",
-                         [numpy.float64],
-                         ids=['float64'])
-def test_amax_float64(type):
-    a = numpy.array([[[-2., 3.], [9.1, 0.2]], [[-2., 5.0], [-2, -1.2]], [[1.0, -2.], [5.0, -1.1]]])
+@pytest.mark.parametrize("type", [numpy.float64], ids=[pytest.floatMAX])
+def test_amax_float(type):
+    a = numpy.array(
+        [
+            [[-2.0, 3.0], [9.1, 0.2]],
+            [[-2.0, 5.0], [-2, -1.2]],
+            [[1.0, -2.0], [5.0, -1.1]],
+        ],
+        dtype=pytest.floatMAX,
+    )
     ia = dpnp.array(a)
 
     for axis in range(len(a)):
@@ -18,9 +23,7 @@ def test_amax_float64(type):
         numpy.testing.assert_array_equal(expected, result)
 
 
-@pytest.mark.parametrize("type",
-                         [numpy.int64],
-                         ids=['int64'])
+@pytest.mark.parametrize("type", [numpy.int64], ids=["int64"])
 def test_amax_int(type):
     a = numpy.array([1, 0, 2, -3, -1, 2, 21, -9])
     ia = dpnp.array(a)
@@ -30,11 +33,16 @@ def test_amax_int(type):
     numpy.testing.assert_array_equal(expected, result)
 
 
-@pytest.mark.parametrize("type",
-                         [numpy.float64],
-                         ids=['float64'])
-def test_amin_float64(type):
-    a = numpy.array([[[-2., 3.], [9.1, 0.2]], [[-2., 5.0], [-2, -1.2]], [[1.0, -2.], [5.0, -1.1]]])
+@pytest.mark.parametrize("type", [numpy.float64], ids=[pytest.floatMAX])
+def test_amin_float(type):
+    a = numpy.array(
+        [
+            [[-2.0, 3.0], [9.1, 0.2]],
+            [[-2.0, 5.0], [-2, -1.2]],
+            [[1.0, -2.0], [5.0, -1.1]],
+        ],
+        dtype=pytest.floatMAX,
+    )
     ia = dpnp.array(a)
 
     for axis in range(len(a)):
@@ -43,9 +51,7 @@ def test_amin_float64(type):
         numpy.testing.assert_array_equal(expected, result)
 
 
-@pytest.mark.parametrize("type",
-                         [numpy.int64],
-                         ids=['int64'])
+@pytest.mark.parametrize("type", [numpy.int64], ids=["int64"])
 def test_amin_int(type):
     a = numpy.array([1, 0, 2, -3, -1, 2, 21, -9])
     ia = dpnp.array(a)
@@ -68,12 +74,24 @@ def _get_min_max_input(type, shape):
 
 
 @pytest.mark.usefixtures("allow_fall_back_on_numpy")
-@pytest.mark.parametrize("type",
-                         [numpy.float64, numpy.float32, numpy.int64, numpy.int32],
-                         ids=['float64', 'float32', 'int64', 'int32'])
-@pytest.mark.parametrize("shape",
-                         [(4,), (2, 3), (4, 5, 6)],
-                         ids=['(4,)', '(2,3)', '(4,5,6)'])
+@pytest.mark.parametrize(
+    "type",
+    [
+        pytest.param(
+            numpy.float64,
+            marks=pytest.mark.skipif(
+                pytest.floatMAX != "float64", reason="No float64 support on this device"
+            ),
+        ),
+        numpy.float32,
+        numpy.int64,
+        numpy.int32,
+    ],
+    ids=["float64", "float32", "int64", "int32"],
+)
+@pytest.mark.parametrize(
+    "shape", [(4,), (2, 3), (4, 5, 6)], ids=["(4,)", "(2,3)", "(4,5,6)"]
+)
 def test_amax(type, shape):
     a = _get_min_max_input(type, shape)
 
@@ -89,12 +107,24 @@ def test_amax(type, shape):
 
 
 @pytest.mark.usefixtures("allow_fall_back_on_numpy")
-@pytest.mark.parametrize("type",
-                         [numpy.float64, numpy.float32, numpy.int64, numpy.int32],
-                         ids=['float64', 'float32', 'int64', 'int32'])
-@pytest.mark.parametrize("shape",
-                         [(4,), (2, 3), (4, 5, 6)],
-                         ids=['(4,)', '(2,3)', '(4,5,6)'])
+@pytest.mark.parametrize(
+    "type",
+    [
+        pytest.param(
+            numpy.float64,
+            marks=pytest.mark.skipif(
+                pytest.floatMAX != "float64", reason="No float64 support on this device"
+            ),
+        ),
+        numpy.float32,
+        numpy.int64,
+        numpy.int32,
+    ],
+    ids=["float64", "float32", "int64", "int32"],
+)
+@pytest.mark.parametrize(
+    "shape", [(4,), (2, 3), (4, 5, 6)], ids=["(4,)", "(2,3)", "(4,5,6)"]
+)
 def test_amin(type, shape):
     a = _get_min_max_input(type, shape)