--- a/pmat.py	Wed May 07 12:18:11 2008 -0400
+++ b/pmat.py	Wed May 07 12:19:36 2008 -0400
@@ -36,13 +36,6 @@
 
 #import numarray, sys, os, os.path
 import numpy.numarray, sys, os, os.path
-pyplearn_import_failed = False
-try:
-    from plearn.pyplearn.plearn_repr import plearn_repr, format_list_elements
-except ImportError:
-    pyplearn_import_failed = True
-    
-                             
 
 def array_columns( a, cols ):
     indices = None
@@ -422,25 +415,6 @@
     def __len__(self):
         return self.length
 
-    if not pyplearn_import_failed:
-        def __str__( self ):
-            return plearn_repr(self, indent_level=0)
-    
-        def plearn_repr( self, indent_level=0, inner_repr=plearn_repr ):
-            # asking for plearn_repr could be to send specification over
-            # to another prg so that will open the .pmat
-            # So we make sure data is flushed to disk.
-            self.flush()
-    
-            def elem_format( elem ):
-                k, v = elem
-                return '%s = %s' % ( k, inner_repr(v, indent_level+1) )
-    
-            options = [ ( 'filename',   self.fname      ),
-                        ( 'inputsize',  self.inputsize  ), 
-                        ( 'targetsize', self.targetsize ),
-                        ( 'weightsize', self.weightsize ) ]
-            return 'FileVMatrix(%s)' % format_list_elements( options, elem_format, indent_level+1 )
             
 if __name__ == '__main__':
     pmat = PMat( 'tmp.pmat', 'w', fieldnames=['F1', 'F2'] )