# HG changeset patch
# User Olivier Delalleau <delallea@iro>
# Date 1243014203 14400
# Node ID 0c73cf7d37488abb97896857d1b958b91df67c2b
# Parent  55f77c7c30758dd8abcc3ea2ff78a0740a7923c7
Cosmetic changes

diff -r 55f77c7c3075 -r 0c73cf7d3748 pylearn/algorithms/sandbox/DAA_inputs_groups.py
--- a/pylearn/algorithms/sandbox/DAA_inputs_groups.py	Fri May 22 10:04:04 2009 -0400
+++ b/pylearn/algorithms/sandbox/DAA_inputs_groups.py	Fri May 22 13:43:23 2009 -0400
@@ -128,13 +128,13 @@
 			self.define_gradients()
 			self.define_interface()
 		
-	def define_behavioural(self,container, input, idx_list , auxinput):
+	def define_behavioural(self, container, input, idx_list, auxinput):
 		self.define_propup(container, input, idx_list , auxinput)
 		container.hidden = self.hid_fn(container.hidden_activation)
 		self.define_propdown(container, idx_list , auxinput)
 		container.rec = self.hid_fn(container.rec_activation)
 		
-	def define_propup(self, container, input, idx_list , auxinput):
+	def define_propup(self, container, input, idx_list, auxinput):
 		if not(self.input is None):
 			container.hidden_activation = self.filter_up(input,self.wenc,self.benc)
 			if not(self.auxinput is None):