ran reindent.py to clean up whitespace

3 files changed, 3 insertions, 6 deletions

diff --git a/numpy/oldnumeric/arrayfns.py b/numpy/oldnumeric/arrayfns.py
index e80246a57..4c31a6827 100644
--- a/numpy/oldnumeric/arrayfns.py
+++ b/numpy/oldnumeric/arrayfns.py
@@ -94,5 +94,3 @@ def to_corners(arr, nv, nvsum):
 
 def construct3(mask, itype):
     raise NotImplementedError
-
-
diff --git a/numpy/oldnumeric/ma.py b/numpy/oldnumeric/ma.py
index 857c554ec..601ff88af 100644
--- a/numpy/oldnumeric/ma.py
+++ b/numpy/oldnumeric/ma.py
@@ -12,4 +12,3 @@ def average(a, axis=0, weights=None, returned=0):
 
 def take(a, indices, axis=0):
     return nca.average(a, indices, axis=0)
-
diff --git a/numpy/oldnumeric/random_array.py b/numpy/oldnumeric/random_array.py
index 94c54603f..73564811d 100644
--- a/numpy/oldnumeric/random_array.py
+++ b/numpy/oldnumeric/random_array.py
@@ -81,13 +81,13 @@ def multivariate_normal(mean, cov, shape=[]):
     """multivariate_normal(mean, cov) or multivariate_normal(mean, cov, [m, n, ...])
     returns an array containing multivariate normally distributed random numbers
     with specified mean and covariance.
-    
+
     mean must be a 1 dimensional array. cov must be a square two dimensional
     array with the same number of rows and columns as mean has elements.
-    
+
     The first form returns a single 1-D array containing a multivariate
     normal.
-    
+
     The second form returns an array of shape (m, n, ..., cov.shape[0]).
     In this case, output[i,j,...,:] is a 1-D array containing a multivariate
     normal."""