STY: Giant whitespace cleanup.

Now is as good a time as any with open PR's at a low.

4 files changed, 3 insertions, 4 deletions

diff --git a/numpy/lib/index_tricks.py b/numpy/lib/index_tricks.py
index ca3d60869..b2ea5e965 100644
--- a/numpy/lib/index_tricks.py
+++ b/numpy/lib/index_tricks.py
@@ -657,7 +657,7 @@ def fill_diagonal(a, val, wrap=False):
       Value to be written on the diagonal, its type must be compatible with
       that of the array a.
 
-    wrap : bool 
+    wrap : bool
       For tall matrices in NumPy version up to 1.6.2, the
       diagonal "wrapped" after N columns. You can have this behavior
       with this option. This affect only tall matrices.
diff --git a/numpy/lib/tests/test_index_tricks.py b/numpy/lib/tests/test_index_tricks.py
index 32b3c7036..01b705b5d 100644
--- a/numpy/lib/tests/test_index_tricks.py
+++ b/numpy/lib/tests/test_index_tricks.py
@@ -256,7 +256,7 @@ def test_ndindex():
     assert_equal(x, [()])
 
     x = list(np.ndindex(()))
-    assert_equal(x, [()])    
+    assert_equal(x, [()])
 
 
 if __name__ == "__main__":
diff --git a/numpy/lib/type_check.py b/numpy/lib/type_check.py
index da9e13847..d52ad095d 100644
--- a/numpy/lib/type_check.py
+++ b/numpy/lib/type_check.py
@@ -603,4 +603,3 @@ def common_type(*arrays):
         return array_type[1][precision]
     else:
         return array_type[0][precision]
-
diff --git a/numpy/lib/user_array.py b/numpy/lib/user_array.py
index d675d3702..cc9612427 100644
--- a/numpy/lib/user_array.py
+++ b/numpy/lib/user_array.py
@@ -12,7 +12,7 @@ from numpy.core import (
         bitwise_xor, invert, less, less_equal, not_equal, equal, greater,
         greater_equal, shape, reshape, arange, sin, sqrt, transpose
         )
-from numpy.compat import long 
+from numpy.compat import long
 
 class container(object):
     def __init__(self, data, dtype=None, copy=True):