#!/usr/bin/env python

import random

class nn_network:

	#makes a plain, random, stupid network
	def __init__(self,size):
		self.networkSize = size
		self.weights = []
		count = 0
		for layerLoop in xrange(0,len(self.networkSize)):
			for neuronLoop in xrange(0,self.networkSize[layerLoop]):
				if layerLoop != 0:
					for weightLoop in xrange(0,self.networkSize[layerLoop-1]):
						self.weights.append(random.randint(-5,5))	
#			neurons
		repr(self.weights)

	def print_weights(self):
		repr(self.weights)


network = nn_network([3,5,2])
network.print_weights()