[Scipy-svn] r3893 - trunk/scipy/sparse

scipy-svn@scip... scipy-svn@scip...
Sun Feb 3 13:44:44 CST 2008


Author: wnbell
Date: 2008-02-03 13:44:39 -0600 (Sun, 03 Feb 2008)
New Revision: 3893

Modified:
   trunk/scipy/sparse/coo.py
   trunk/scipy/sparse/csr.py
   trunk/scipy/sparse/dok.py
   trunk/scipy/sparse/lil.py
Log:
add nnz properties to all sparse matrices
ensure that coo indices are ints


Modified: trunk/scipy/sparse/coo.py
===================================================================
--- trunk/scipy/sparse/coo.py	2008-02-03 19:25:28 UTC (rev 3892)
+++ trunk/scipy/sparse/coo.py	2008-02-03 19:44:39 UTC (rev 3893)
@@ -121,8 +121,8 @@
                 except TypeError:
                     raise TypeError, "invalid input format"
 
-                self.row = array(ij[0],copy=copy)
-                self.col = array(ij[1],copy=copy)
+                self.row = array(ij[0],copy=copy,dtype=intc)
+                self.col = array(ij[1],copy=copy,dtype=intc)
                 self.data = array(obj,copy=copy)
 
                 if shape is None:

Modified: trunk/scipy/sparse/csr.py
===================================================================
--- trunk/scipy/sparse/csr.py	2008-02-03 19:25:28 UTC (rev 3892)
+++ trunk/scipy/sparse/csr.py	2008-02-03 19:44:39 UTC (rev 3893)
@@ -117,8 +117,8 @@
      
         self.sort_indices() #lil_matrix needs sorted rows
         
-        rows,data = lil.rows,lil.data
         ptr,ind,dat = self.indptr,self.indices,self.data
+        rows, data  = lil.rows, lil.data
 
         for n in xrange(self.shape[0]):
             start = ptr[n]

Modified: trunk/scipy/sparse/dok.py
===================================================================
--- trunk/scipy/sparse/dok.py	2008-02-03 19:25:28 UTC (rev 3892)
+++ trunk/scipy/sparse/dok.py	2008-02-03 19:44:39 UTC (rev 3893)
@@ -54,26 +54,26 @@
 
     def getnnz(self):
         return dict.__len__(self)
+    nnz = property(fget=getnnz)
 
     def __len__(self):
         return dict.__len__(self)
 
     def __str__(self):
         val = ''
-        nnz = self.getnnz()
         keys = self.keys()
         keys.sort()
         #TODO why does dok_matrix wipe out .maxprint?
-        if nnz > self.maxprint:
+        if self.nnz > self.maxprint:
             for k in xrange(self.maxprint / 2):
                 key = keys[k]
                 val += "  %s\t%s\n" % (str(key), str(self[key]))
             val = val + "   :    \t  :\n"
-            for k in xrange(nnz-self.maxprint/2, nnz):
+            for k in xrange(self.nnz - self.maxprint/2, self.nnz):
                 key = keys[k]
                 val += "  %s\t%s\n" % (str(key), str(self[key]))
         else:
-            for k in xrange(nnz):
+            for k in xrange(self.nnz):
                 key = keys[k]
                 val += "  %s\t%s\n" % (str(key), str(self[key]))
         return val[:-1]
@@ -536,7 +536,7 @@
     def tocoo(self):
         """ Return a copy of this matrix in COOrdinate format"""
         from coo import coo_matrix
-        if self.getnnz() == 0:
+        if self.nnz == 0:
             return coo_matrix(self.shape, dtype=self.dtype)
         else:
             data    = asarray(self.values(), dtype=self.dtype)

Modified: trunk/scipy/sparse/lil.py
===================================================================
--- trunk/scipy/sparse/lil.py	2008-02-03 19:25:28 UTC (rev 3892)
+++ trunk/scipy/sparse/lil.py	2008-02-03 19:44:39 UTC (rev 3893)
@@ -126,6 +126,7 @@
 
     def getnnz(self):
         return sum([len(rowvals) for rowvals in self.data])
+    nnz = property(fget=getnnz)
 
     def __str__(self):
         val = ''
@@ -134,12 +135,6 @@
                 val += "  %s\t%s\n" % (str((i, j)), str(self.data[i][pos]))
         return val[:-1]
 
-    #def __repr__(self):
-    #    format = self.getformat()
-    #    return "<%dx%d sparse matrix with %d stored "\
-    #           "elements in %s format>" % \
-    #           (self.shape + (self.getnnz(), _formats[format][1]))
-
     def getrowview(self, i):
         """Returns a view of the 'i'th row (without copying).
         """



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