def get_result(model,sys_dic,sentences):
score = 0
scores = []
for param_1 in [-1.,-2.,1.,2.]:
for param_2 in [-1.,-2.,1.,2.]:
print param_1,param_2
for i,p in enumerate(sentences):
words = p.split()
for q in words[0:-1]:
#print q,words[-1]
if model.__contains__(q) and model.__contains__(words[-1]): #and q in sys_dic and words[-1] in sys_dic:
score += c1.inner_product(model.vector[q],model.vector[words[-1]],model.vocab[q],param_1,param_2)
scores.append(score)
score = 0
print 'calculation finish'
for sq in heapq.nlargest(50,range(len(scores)),scores.__getitem__):
print sentences[sq]
#print scores[sq]
scores = []
