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* Clean up GreedyParser.train function a bit
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@ -94,27 +94,24 @@ cdef class GreedyParser:
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return 0
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def train(self, Tokens tokens, GoldParse gold, force_gold=False):
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cdef:
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int n_feats
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int cost
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const Feature* feats
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const weight_t* scores
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Transition guess
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Transition best
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atom_t[CONTEXT_SIZE] context
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self.moves.preprocess_gold(gold)
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cdef Pool mem = Pool()
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cdef State* state = new_state(mem, tokens.data, tokens.length)
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self.moves.first_state(state)
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cdef int cost
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cdef const Feature* feats
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cdef const weight_t* scores
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cdef Transition guess
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cdef Transition best
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cdef atom_t[CONTEXT_SIZE] context
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while not is_final(state):
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fill_context(context, state)
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scores = self.model.score(context)
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guess = self.moves.best_valid(scores, state)
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best = self.moves.best_gold(scores, state, gold)
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cost = guess.get_cost(&guess, state, gold)
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assert cost < 9000
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self.model.update(context, guess.clas, best.clas, cost)
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if force_gold:
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