try to fix stubtest errors

Author: jswhit2

test/test_masked2.py

@@ -64,7 +64,7 @@ def setUp(self):
         v = f.createVariable('v',np.float32,'x',zlib=True,least_significant_digit=1)
         # assign masked array to that variable with one missing value.
         data =\
-        ma.array([1.5678,99.99,3.75145,4.127654],mask=np.array([False,True,False,False],np.bool_))
+        ma.MaskedArray([1.5678,99.99,3.75145,4.127654],mask=np.array([False,True,False,False],np.bool_))
         data.mask[1]=True
         v[:] = data
         f.close()

test/test_masked3.py

@@ -19,7 +19,7 @@ def setUp(self):
 
         self.fillval = default_fillvals["i2"]
         self.v    = np.array([self.fillval, 5, 4, -9999], dtype = "i2")
-        self.v_ma = ma.array([self.fillval, 5, 4, -9999], dtype = "i2", mask = [True, False, False, True])
+        self.v_ma = ma.MaskedArray([self.fillval, 5, 4, -9999], dtype = "i2", mask = [True, False, False, True])
 
         self.scale_factor = 10.
         self.add_offset = 5.

test/test_masked4.py

@@ -20,7 +20,7 @@ def setUp(self):
         self.valid_max = 32765
         self.valid_range = [self.valid_min,self.valid_max]
         self.v    = np.array([self.valid_min-1, 5, 4, self.valid_max+1], dtype = "i2")
-        self.v_ma = ma.array([self.valid_min-1, 5, 4, self.valid_max+1], dtype = "i2", mask = [True, False, False, True])
+        self.v_ma = ma.MaskedArray([self.valid_min-1, 5, 4, self.valid_max+1], dtype = "i2", mask = [True, False, False, True])
 
         self.scale_factor = 10.
         self.add_offset = 5.

test/test_masked5.py

@@ -17,7 +17,7 @@ def setUp(self):
 
         self.missing_values = [-999,999,0]
         self.v    = np.array([-999,0,1,2,3,999], dtype = "i2")
-        self.v_ma = ma.array([-1,0,1,2,3,4], dtype = "i2", \
+        self.v_ma = ma.MaskedArray([-1,0,1,2,3,4], dtype = "i2", \
                     mask = [True, True, False, False, False, True])
 
         f = Dataset(self.testfile, 'w')

test/test_masked6.py

@@ -18,7 +18,7 @@ def setUp(self):
         self.testfile = tempfile.NamedTemporaryFile(suffix='.nc', delete=False).name
 
         self.v = np.array([4, 3, 2, 1], dtype="i2")
-        self.w = np.ma.array([-1, -2, -3, -4], mask=[False, True, False, False], dtype="i2")
+        self.w = np.ma.MaskedArray([-1, -2, -3, -4], mask=[False, True, False, False], dtype="i2")
 
         f = Dataset(self.testfile, 'w')
         _ = f.createDimension('x', None)

test/test_scaled.py

@@ -22,7 +22,7 @@ def setUp(self):
         self.missing_value = -9999
 
         self.v    = np.array([0, 5, 4, self.missing_value], dtype = "i2")
-        self.v_ma = ma.array([0, 5, 4, self.missing_value], dtype = "i2",
+        self.v_ma = ma.MaskedArray([0, 5, 4, self.missing_value], dtype = "i2",
                              mask = [True, False, False, True], fill_value = self.fillval)
 
         self.scale_factor = 10.

test/test_types.py

@@ -22,7 +22,7 @@
 zlib=False; complevel=0; shuffle=False; least_significant_digit=None
 datatypes = ['f8','f4','i1','i2','i4','i8','u1','u2','u4','u8','S1']
 FillValue = 1.0
-issue273_data = np.ma.array(['z']*10,dtype='S1',\
+issue273_data = np.ma.MaskedArray(['z']*10,dtype='S1',\
 mask=[False,False,False,False,False,True,False,False,False,False])
 
 class PrimitiveTypesTestCase(unittest.TestCase):