delete the elements of an array

Author: tinayz

hidden_layer.py

@@ -26,14 +26,20 @@ def calcOutputs(self):
 for n in self.neurons:
 self.outputValues.append(n.calc_output())
 
-def setWeightsUpdated(self , updatedWeights):
-#TODO: testing...
-x = len(self.getWeights())
-updatedWeightsTemp = updatedWeights[:x]
-# if updatedWeights is numpy delete is false
-del updatedWeights[:x]
-for n in self.neurons:
-n.updatedWeights(updatedWeightsTemp)
+#
+# set Weight Updated
+#
+# def setWeightsUpdated(self , updatedWeights):
+#	#TODO: testing...
+#	x = len(self.getWeights())
+#	updatedWeightsTemp = updatedWeights[:x]
+#	# if updatedWeights is numpy delete is false
+#	del updatedWeights[:x]
+#	for n in self.neurons:
+#	n.updatedWeights(updatedWeightsTemp)
+#
+#
+#
 
 def getOutput(self):
 return self.outputValues

input_layer.py

@@ -42,18 +42,22 @@ def calcOutputs(self):
 def getOutput(self):
 return self.outputValues
 
-def setWeightsUpdated(self , updatedWeights):
-#TODO: testing...
-x = len(self.getWeights())
-updatedWeightsTemp = updatedWeights[:x]
-# if updatedWeights is numpy delete is false
-del updatedWeights[:x]
-for n in self.neurons:
-n.updatedWeights(updatedWeightsTemp)
-
-
+#
+# set weight updated
+#
+# def setWeightsUpdated(self , updatedWeights):
+#	#TODO: testing...
+#	x = len(self.getWeights())
+#	updatedWeightsTemp = updatedWeights[:x]
+#	# if updatedWeights is numpy delete is false
+#	updatedWeights = np.array([:x])
+#	for n in self.neurons:
+#	n.updatedWeights(updatedWeightsTemp)
+#
+#
+#
 
-def getWeights(self ):
+def getWeights(self):
 li = []
 for n in self.neurons:
 li.extend(n.getWeights())

neuron.py

@@ -27,30 +27,18 @@ def calc_output(self):
 self.calc_activation()
 return self.output
 
-def updateWeights(self, updatedWeights):
-#TODO: delete one elements 
-self.weights = self.weights[-1]
-self.weights = np.delete(self.weights , 0)
-self.weights = updatedWeights
+# def updateWeights(self, updatedWeights):
+# #TODO: delete one elements 
+# self.weights = self.weights[-1]
+# self.weights = np.delete(self.weights , 0)
+#	np.place(self.weights , updatedWeights , )
 
 def setNewInput(self, newInput):
 cnt = 0
 #print ("newInput in Neuron: " ,newInput)
-
-# 
-# 
-# TODO:delete elemet
-# 
-# 
-# 
-# self.pixel_values = self.pixel_values[-1]
-# self.pixel_values = np.delete(self.pixel_values , 0)
-#print(self.pixel_values)
-
+self.pixel_values = np.array([])
+print("pixel" , self.pixel_values)
 #print(type(newInput))
-#for i in range (0,newInput.length):
-#cnt +=1
-#print(cnt)
 self.pixel_values = np.asarray(newInput)
 #print(len(newInput))
 #print(self.pixel_values.size)

output_layer.py

@@ -24,14 +24,20 @@ def calcOutputs(self):
 for n in self.neurons:
 self.outputValues.append(n.calc_output())
 
-def setWeightsUpdated(self , updatedWeights):
-#TODO: testing...
-x = len(self.getWeights())
-updatedWeightsTemp = updatedWeights[:x]
-# if updatedWeights is numpy delete is false
-del updatedWeights[:x]
-for n in self.neurons:
-n.updatedWeights(updatedWeightsTemp)
+#
+# set Weight updated
+#
+# def setWeightsUpdated(self , updatedWeights):
+#	#TODO: testing...
+#	x = len(self.getWeights())
+#	updatedWeightsTemp = updatedWeights[:x]
+#	# if updatedWeights is numpy delete is false
+#	del updatedWeights[:x]
+#	for n in self.neurons:
+#	n.updatedWeights(updatedWeightsTemp)
+#
+#
+#
 
 def getOutput(self):
 return self.outputValues