[Numpy-svn] r3590 - trunk/numpy/lib

numpy-svn@scip... numpy-svn@scip...
Thu Mar 22 17:49:30 CDT 2007


Author: stefan
Date: 2007-03-22 17:49:17 -0500 (Thu, 22 Mar 2007)
New Revision: 3590

Modified:
   trunk/numpy/lib/function_base.py
   trunk/numpy/lib/polynomial.py
Log:
Replace tabs with spaces (see ticket #470).


Modified: trunk/numpy/lib/function_base.py
===================================================================
--- trunk/numpy/lib/function_base.py	2007-03-21 21:19:11 UTC (rev 3589)
+++ trunk/numpy/lib/function_base.py	2007-03-22 22:49:17 UTC (rev 3590)
@@ -143,7 +143,7 @@
     H, edges = histogramdd(x, bins = (5, 6, 7))
 
     See also: histogram
-    
+
     """
 
     try:
@@ -264,7 +264,7 @@
 
     Raises ZeroDivisionError if appropriate.  (The version in MA does
     not -- it returns masked values).
-    
+
     """
     if axis is None:
         a = array(a).ravel()
@@ -403,7 +403,7 @@
 
     Note that one of the condition arrays must be large enough to handle
     the largest array in the choice list.
-    
+
     """
     n = len(condlist)
     n2 = len(choicelist)
@@ -456,7 +456,7 @@
 
       N arrays of the same shape as f giving the derivative of f with respect
       to each dimension.
-       
+
     """
     N = len(f.shape)  # number of dimensions
     n = len(varargs)
@@ -641,7 +641,7 @@
         >>> a = array((0, 0, 0, 1, 2, 3, 2, 1, 0))
         >>> numpy.trim_zeros(a)
         array([1, 2, 3, 2, 1])
-        
+
     """
     first = 0
     trim = trim.upper()
@@ -666,7 +666,7 @@
     Example:
     >>> unique([5,2,4,0,4,4,2,2,1])
     array([0, 1, 2, 4, 5])
-    
+
     """
     try:
         tmp = x.flatten()
@@ -692,7 +692,7 @@
     """Similar to putmask arr[mask] = vals but the 1D array vals has the
     same number of elements as the non-zero values of mask. Inverse of
     extract.
-    
+
     """
     return _insert(arr, mask, vals)
 

Modified: trunk/numpy/lib/polynomial.py
===================================================================
--- trunk/numpy/lib/polynomial.py	2007-03-21 21:19:11 UTC (rev 3589)
+++ trunk/numpy/lib/polynomial.py	2007-03-22 22:49:17 UTC (rev 3590)
@@ -53,11 +53,11 @@
     If the input is a matrix, return the characteristic polynomial.
 
     Example:
-        
+
         >>> b = roots([1,3,1,5,6])
         >>> poly(b)
         array([ 1.,  3.,  1.,  5.,  6.])
-        
+
     """
     seq_of_zeros = atleast_1d(seq_of_zeros)
     sh = seq_of_zeros.shape
@@ -655,5 +655,3 @@
 # Stuff to do on module import
 
 warnings.simplefilter('always',RankWarning)
-
-    



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