diff --git a/tests/python/unittest/test_numpy_interoperability.py b/tests/python/unittest/test_numpy_interoperability.py
index 9097c25093b7..7195ca39dc43 100644
--- a/tests/python/unittest/test_numpy_interoperability.py
+++ b/tests/python/unittest/test_numpy_interoperability.py
@@ -53,9 +53,9 @@ def _prepare_workloads():
         '1x1x0': np.array([[[]]])
     }
 
-    dt_int = [np.int8, np.int32, np.int64, np.uint8]
-    dt_float = [np.float16, np.float32, np.float64]
-    dt = dt_int + dt_float
+    DT_INT = [np.int8, np.int32, np.int64, np.uint8]
+    DT_FLOAT = [np.float16, np.float32, np.float64]
+    DT = DT_INT + DT_FLOAT
 
     # workloads for array function protocol
     OpArgMngr.add_workload('argmax', np.random.uniform(size=(4, 5, 6, 7, 8)), 0)
@@ -106,7 +106,7 @@ def _prepare_workloads():
     OpArgMngr.add_workload('concatenate', [array_pool['4x1'], array_pool['4x1']], axis=1)
     OpArgMngr.add_workload('copy', array_pool['4x1'])
 
-    for ctype in dt:
+    for ctype in DT:
         OpArgMngr.add_workload('cumsum', np.array([1, 2, 10, 11, 6, 5, 4], dtype=ctype))
         OpArgMngr.add_workload('cumsum', np.array([[1, 2, 3, 4], [5, 6, 7, 9], [10, 3, 4, 5]], dtype=ctype), axis=0)
         OpArgMngr.add_workload('cumsum', np.array([[1, 2, 3, 4], [5, 6, 7, 9], [10, 3, 4, 5]], dtype=ctype), axis=1)
@@ -375,7 +375,7 @@ def _signs(dt):
         else:
             return (+1, -1)
 
-    for ct in dt:
+    for ct in DT:
         for sg1, sg2 in itertools.product(_signs(ct), _signs(ct)):
             a = np.array(sg1*71, dtype=ct)
             b = np.array(sg2*19, dtype=ct)
@@ -397,7 +397,7 @@ def _signs(dt):
         OpArgMngr.add_workload('remainder', fa, fb)
 
     # test_float_remainder_roundoff
-    for ct in dt_float:
+    for ct in DT_FLOAT:
         for sg1, sg2 in itertools.product((+1, -1), (+1, -1)):
             a = np.array(sg1*78*6e-8, dtype=ct)
             b = np.array(sg2*6e-8, dtype=ct)
@@ -405,7 +405,7 @@ def _signs(dt):
 
     # test_float_remainder_corner_cases
     # Check remainder magnitude.
-    for ct in dt_float:
+    for ct in DT_FLOAT:
         b = _np.array(1.0)
         a = np.array(_np.nextafter(_np.array(0.0), -b), dtype=ct)
         b = np.array(b, dtype=ct)