ran reindent.py to clean up whitespace

7 files changed, 16 insertions, 17 deletions

diff --git a/numpy/lib/function_base.py b/numpy/lib/function_base.py
index 2d7bc6189..0463c48f5 100644
--- a/numpy/lib/function_base.py
+++ b/numpy/lib/function_base.py
@@ -1,7 +1,7 @@
 __docformat__ = "restructuredtext en"
 __all__ = ['logspace', 'linspace',
            'select', 'piecewise', 'trim_zeros',
-           'copy', 'iterable', 
+           'copy', 'iterable',
            'diff', 'gradient', 'angle', 'unwrap', 'sort_complex', 'disp',
            'unique', 'extract', 'place', 'nansum', 'nanmax', 'nanargmax',
            'nanargmin', 'nanmin', 'vectorize', 'asarray_chkfinite', 'average',
diff --git a/numpy/lib/index_tricks.py b/numpy/lib/index_tricks.py
index 8e6f36e30..26a44976c 100644
--- a/numpy/lib/index_tricks.py
+++ b/numpy/lib/index_tricks.py
@@ -125,7 +125,7 @@ class nd_grid(object):
                   [2],
                   [3],
                   [4]]), array([[0, 1, 2, 3, 4]])]
-           
+
     """
     def __init__(self, sparse=False):
         self.sparse = sparse
@@ -319,7 +319,7 @@ class r_class(concatenator):
         For example:
         >>> r_[array([1,2,3]), 0, 0, array([4,5,6])]
         array([1, 2, 3, 0, 0, 4, 5, 6])
-        
+
     """
     def __init__(self):
         concatenator.__init__(self, 0)
diff --git a/numpy/lib/shape_base.py b/numpy/lib/shape_base.py
index 95b2bf2ce..9ac77666f 100644
--- a/numpy/lib/shape_base.py
+++ b/numpy/lib/shape_base.py
@@ -299,7 +299,7 @@ def dstack(tup):
                [[2, 3]],
         <BLANKLINE>
                [[3, 4]]])
-        
+
     """
     return _nx.concatenate(map(atleast_3d,tup),2)
 
diff --git a/numpy/lib/tests/test_shape_base.py b/numpy/lib/tests/test_shape_base.py
index c819ba366..320871a95 100644
--- a/numpy/lib/tests/test_shape_base.py
+++ b/numpy/lib/tests/test_shape_base.py
@@ -410,4 +410,3 @@ def compare_results(res,desired):
 
 if __name__ == "__main__":
     NumpyTest().run()
- 
diff --git a/numpy/lib/twodim_base.py b/numpy/lib/twodim_base.py
index a067139af..4852097f3 100644
--- a/numpy/lib/twodim_base.py
+++ b/numpy/lib/twodim_base.py
@@ -143,7 +143,7 @@ def vander(x, N=None):
         X[:,i] = x**(N-i-1)
     return X
 
-    
+
 def histogram2d(x,y, bins=10, range=None, normed=False, weights=None):
     """histogram2d(x,y, bins=10, range=None, normed=False) -> H, xedges, yedges
 
@@ -151,27 +151,27 @@ def histogram2d(x,y, bins=10, range=None, normed=False, weights=None):
 
     :Parameters:
       - `x,y` : Sample arrays (1D).
-      - `bins` : Number of bins -or- [nbin x, nbin y] -or- 
+      - `bins` : Number of bins -or- [nbin x, nbin y] -or-
              [bin edges] -or- [x bin edges, y bin edges].
       - `range` : A sequence of lower and upper bin edges (default: [min, max]).
       - `normed` : Boolean, if False, return the number of samples in each bin,
                 if True, returns the density.
-      - `weights` : An array of weights. The weights are normed only if normed 
+      - `weights` : An array of weights. The weights are normed only if normed
                 is True. Should weights.sum() not equal N, the total bin count \
                 will not be equal to the number of samples.
-    
+
     :Return:
       - `hist` :    Histogram array.
-      - `xedges, yedges` : Arrays defining the bin edges. 
-    
+      - `xedges, yedges` : Arrays defining the bin edges.
+
     Example:
       >>> x = random.randn(100,2)
       >>> hist2d, xedges, yedges = histogram2d(x, bins = (6, 7))
-    
+
     :SeeAlso: histogramdd
     """
     from numpy import histogramdd
-    
+
     try:
         N = len(bins)
     except TypeError:
diff --git a/numpy/lib/type_check.py b/numpy/lib/type_check.py
index 60c84e335..20817ab01 100644
--- a/numpy/lib/type_check.py
+++ b/numpy/lib/type_check.py
@@ -7,7 +7,7 @@ __all__ = ['iscomplexobj','isrealobj','imag','iscomplex',
 
 import numpy.core.numeric as _nx
 from numpy.core.numeric import asarray, asanyarray, array, isnan, \
-		obj2sctype, zeros
+                obj2sctype, zeros
 from ufunclike import isneginf, isposinf
 
 _typecodes_by_elsize = 'GDFgdfQqLlIiHhBb?'
diff --git a/numpy/lib/utils.py b/numpy/lib/utils.py
index fa69e6718..386506bd6 100644
--- a/numpy/lib/utils.py
+++ b/numpy/lib/utils.py
@@ -118,7 +118,7 @@ def byte_bounds(a):
     high is just *past* the last byte
 
     If the array is not single-segment, then it may not actually
-    use every byte between these bounds. 
+    use every byte between these bounds.
 
     The array provided must conform to the Python-side of the array interface
     """
@@ -140,7 +140,7 @@ def byte_bounds(a):
                 a_high += (shape-1)*stride
         a_high += bytes_a
     return a_low, a_high
-    
+
 
 def may_share_memory(a, b):
     """Determine if two arrays can share memory
@@ -275,7 +275,7 @@ def info(object=None,maxwidth=76,output=sys.stdout,toplevel='numpy'):
        Example:
           >>> from numpy import *
           >>> info(polyval) # doctest: +SKIP
-          
+
           polyval(p, x)
 
             Evaluate the polymnomial p at x.