STY: Giant comma spacing fixup.

Run the 2to3 ws_comma fixer on *.py files. Some lines are now too long
and will need to be broken at some point. OTOH, some lines were already
too long and need to be broken at some point. Now seems as good a time
as any to do this with open PRs at a minimum.

1 files changed, 11 insertions, 11 deletions

diff --git a/numpy/ma/tests/test_regression.py b/numpy/ma/tests/test_regression.py
index eb301aa05..1274833b2 100644
--- a/numpy/ma/tests/test_regression.py
+++ b/numpy/ma/tests/test_regression.py
@@ -10,32 +10,32 @@ rlevel = 1
 class TestRegression(TestCase):
     def test_masked_array_create(self,level=rlevel):
         """Ticket #17"""
-        x = np.ma.masked_array([0,1,2,3,0,4,5,6],mask=[0,0,0,1,1,1,0,0])
-        assert_array_equal(np.ma.nonzero(x),[[1,2,6,7]])
+        x = np.ma.masked_array([0, 1, 2, 3, 0, 4, 5, 6], mask=[0, 0, 0, 1, 1, 1, 0, 0])
+        assert_array_equal(np.ma.nonzero(x), [[1, 2, 6, 7]])
 
     def test_masked_array(self,level=rlevel):
         """Ticket #61"""
-        x = np.ma.array(1,mask=[1])
+        x = np.ma.array(1, mask=[1])
 
     def test_mem_masked_where(self,level=rlevel):
         """Ticket #62"""
         from numpy.ma import masked_where, MaskType
-        a = np.zeros((1,1))
+        a = np.zeros((1, 1))
         b = np.zeros(a.shape, MaskType)
-        c = masked_where(b,a)
+        c = masked_where(b, a)
         a-c
 
     def test_masked_array_multiply(self,level=rlevel):
         """Ticket #254"""
-        a = np.ma.zeros((4,1))
-        a[2,0] = np.ma.masked
-        b = np.zeros((4,2))
+        a = np.ma.zeros((4, 1))
+        a[2, 0] = np.ma.masked
+        b = np.zeros((4, 2))
         a*b
         b*a
 
     def test_masked_array_repeat(self, level=rlevel):
         """Ticket #271"""
-        np.ma.array([1],mask=False).repeat(10)
+        np.ma.array([1], mask=False).repeat(10)
 
     def test_masked_array_repr_unicode(self):
         """Ticket #1256"""
@@ -63,8 +63,8 @@ class TestRegression(TestCase):
 
     def test_ddof_corrcoef(self):
         # See gh-3336
-        x = np.ma.masked_equal([1,2,3,4,5], 4)
-        y = np.array([2,2.5,3.1,3,5])
+        x = np.ma.masked_equal([1, 2, 3, 4, 5], 4)
+        y = np.array([2, 2.5, 3.1, 3, 5])
         r0 = np.ma.corrcoef(x, y, ddof=0)
         r1 = np.ma.corrcoef(x, y, ddof=1)
         # ddof should not have an effect (it gets cancelled out)