TEST: I think it's fair to require navalues/rawlevels/newlevels to be numpy

arrays and not lists

funpack/tests/test_cleaning.py

@@ -298,7 +298,7 @@ def test_applyNewLevels():
 
     codes1 = np.random.randint(100, 200, 10)
     codes2 = np.random.randint(100, 200, 10)
-    codes3 = list(reversed(range(10)))
+    codes3 = np.arange(9, -1, -1)
 
     exp1 = [codes1[data[i, 1]] for i in range(50)]
     exp2 = [codes2[data[i, 2]] for i in range(50)]
@@ -308,11 +308,11 @@ def test_applyNewLevels():
 
     with warnings.catch_warnings():
         warnings.simplefilter('ignore')
-        vartable['RawLevels'][1] = list(range(10))
+        vartable['RawLevels'][1] = np.arange(10)
         vartable['NewLevels'][1] = codes1
-        vartable['RawLevels'][2] = list(range(10))
+        vartable['RawLevels'][2] = np.arange(10)
         vartable['NewLevels'][2] = codes2
-        vartable['RawLevels'][3] = list(range(10))
+        vartable['RawLevels'][3] = np.arange(10)
         vartable['NewLevels'][3] = codes3
 
 
@@ -347,8 +347,8 @@ def test_applyNAInsertion():
     data       = np.random.randint(0, 10, (100, 3)).astype(np.float32)
     data[:, 0] = np.arange(1, 101)
 
-    miss1 = list(np.random.choice(range(10), 4, replace=False))
-    miss2 = list(np.random.choice(range(10), 4, replace=False))
+    miss1 = np.random.choice(range(10), 4, replace=False)
+    miss2 = np.random.choice(range(10), 4, replace=False)
 
     exp1 = data[:, 1].copy()
     exp2 = data[:, 2].copy()
@@ -362,7 +362,7 @@ def test_applyNAInsertion():
         warnings.simplefilter("ignore")
         vartable['NAValues'][1] = miss1
         vartable['NAValues'][2] = miss2
-        vartable['NAValues'][3] = [1, 2, 3]
+        vartable['NAValues'][3] = np.array([1, 2, 3])
 
     cols = ['eid', '1-0.0', '2-0.0']