import operator
MIN_FLOAT=-3.14e100

def get_top_states(t_state_v,K=4):
	items = t_state_v.items()
	topK= sorted(items,key=operator.itemgetter(1),reverse=True)[:K]
	return [x[0] for x in topK]

def viterbi(obs, states, start_p, trans_p, emit_p):
	V = [{}] #tabular
	mem_path = [{}]
	all_states = trans_p.keys()
	for y in states.get(obs[0],all_states): #init
		V[0][y] = start_p[y] + emit_p[y].get(obs[0],MIN_FLOAT)
		mem_path[0][y] = ''
	for t in range(1,len(obs)):
		V.append({})
		mem_path.append({})
		prev_states = get_top_states(V[t-1])
		prev_states =[ x for x in mem_path[t-1].keys() if len(trans_p[x])>0 ]

		prev_states_expect_next = set( (y  for x in prev_states for y in trans_p[x].keys() ) )
		obs_states = states.get(obs[t],all_states)
		obs_states = set(obs_states) &  set(prev_states_expect_next)

		if len(obs_states)==0: obs_states = all_states
		for y in obs_states:
			(prob,state ) = max([(V[t-1][y0] + trans_p[y0].get(y,MIN_FLOAT) + emit_p[y].get(obs[t],MIN_FLOAT) ,y0) for y0 in prev_states])
			V[t][y] =prob
			mem_path[t][y] = state

	last = [(V[-1][y], y) for y in mem_path[-1].keys() ]
	#if len(last)==0:
		#print obs
	(prob, state) = max(last)

	route = [None] * len(obs)
	i = len(obs)-1
	while i>=0:
		route[i] = state
		state = mem_path[i][state]
		i-=1
	return (prob, route)