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https://github.com/explosion/spaCy.git
synced 2025-01-12 18:26:30 +03:00
Allow beam parsing for NER
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parent
f77a5bb60a
commit
931feb3360
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@ -2,6 +2,7 @@
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# cython: cdivision=True
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# cython: infer_types=True
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from __future__ import unicode_literals
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from cpython.ref cimport PyObject, Py_INCREF, Py_XDECREF
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import ctypes
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import os
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@ -293,7 +294,23 @@ cdef int _get_root(int word, const GoldParseC* gold) nogil:
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return word
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cdef void* _init_state(Pool mem, int length, void* tokens) except NULL:
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cdef StateClass st = StateClass.init(<const TokenC*>tokens, length)
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# Ensure sent_start is set to 0 throughout
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for i in range(st.c.length):
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st.c._sent[i].sent_start = False
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st.c._sent[i].l_edge = i
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st.c._sent[i].r_edge = i
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st.fast_forward()
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Py_INCREF(st)
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return <void*>st
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cdef class ArcEager(TransitionSystem):
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def __init__(self, *args, **kwargs):
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TransitionSystem.__init__(self, *args, **kwargs)
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self.init_beam_state = _init_state
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@classmethod
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def get_actions(cls, **kwargs):
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actions = kwargs.get('actions',
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@ -83,7 +83,7 @@ cdef class BeamParser(Parser):
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cdef int _parseC(self, TokenC* tokens, int length, int nr_feat, int nr_class) except -1:
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cdef Beam beam = Beam(self.moves.n_moves, self.beam_width, min_density=self.beam_density)
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beam.initialize(_init_state, length, tokens)
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beam.initialize(self.moves.init_beam_state, length, tokens)
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beam.check_done(_check_final_state, NULL)
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if beam.is_done:
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_cleanup(beam)
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@ -99,14 +99,17 @@ cdef class BeamParser(Parser):
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def update(self, Doc tokens, GoldParse gold_parse, itn=0):
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self.moves.preprocess_gold(gold_parse)
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cdef Beam pred = Beam(self.moves.n_moves, self.beam_width)
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pred.initialize(_init_state, tokens.length, tokens.c)
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pred.initialize(self.moves.init_beam_state, tokens.length, tokens.c)
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pred.check_done(_check_final_state, NULL)
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# Hack for NER
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for i in range(pred.size):
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stcls = <StateClass>pred.at(i)
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self.moves.initialize_state(stcls.c)
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cdef Beam gold = Beam(self.moves.n_moves, self.beam_width, min_density=0.0)
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gold.initialize(_init_state, tokens.length, tokens.c)
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gold.initialize(self.moves.init_beam_state, tokens.length, tokens.c)
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gold.check_done(_check_final_state, NULL)
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violn = MaxViolation()
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itn = 0
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while not pred.is_done and not gold.is_done:
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# We search separately here, to allow for ambiguity in the gold parse.
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self._advance_beam(pred, gold_parse, False)
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@ -114,7 +117,6 @@ cdef class BeamParser(Parser):
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violn.check_crf(pred, gold)
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if pred.loss > 0 and pred.min_score > (gold.score + self.model.time):
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break
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itn += 1
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else:
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# The non-monotonic oracle makes it difficult to ensure final costs are
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# correct. Therefore do final correction
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@ -124,8 +126,10 @@ cdef class BeamParser(Parser):
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elif pred._states[i].loss == 0.0:
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pred._states[i].loss = 1.0
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violn.check_crf(pred, gold)
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assert pred.size >= 1
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assert gold.size >= 1
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if pred.size < 1:
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raise Exception("No candidates", tokens.length)
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if gold.size < 1:
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raise Exception("No gold", tokens.length)
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if pred.loss == 0:
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self.model.update_from_histories(self.moves, tokens, [(0.0, [])])
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elif True:
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@ -164,17 +168,29 @@ cdef class BeamParser(Parser):
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self.moves.set_valid(beam.is_valid[i], stcls.c)
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self.model.set_scoresC(beam.scores[i], features, nr_feat)
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if gold is not None:
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n_gold = 0
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lines = []
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for i in range(beam.size):
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stcls = <StateClass>beam.at(i)
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if not stcls.c.is_final():
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self.moves.set_costs(beam.is_valid[i], beam.costs[i], stcls, gold)
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if follow_gold:
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for j in range(self.moves.n_moves):
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beam.is_valid[i][j] *= beam.costs[i][j] <= 0
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if beam.costs[i][j] >= 1:
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beam.is_valid[i][j] = 0
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lines.append((stcls.B(0), stcls.B(1),
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stcls.B_(0).ent_iob, stcls.B_(1).ent_iob,
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stcls.B_(1).sent_start,
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j,
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beam.is_valid[i][j], 'set invalid',
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beam.costs[i][j], self.moves.c[j].move, self.moves.c[j].label))
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n_gold += 1 if beam.is_valid[i][j] else 0
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if follow_gold and n_gold == 0:
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raise Exception("No gold")
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if follow_gold:
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beam.advance(_transition_state, NULL, <void*>self.moves.c)
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else:
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beam.advance(_transition_state, _hash_state, <void*>self.moves.c)
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beam.advance(_transition_state, NULL, <void*>self.moves.c)
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beam.check_done(_check_final_state, NULL)
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@ -187,19 +203,6 @@ cdef int _transition_state(void* _dest, void* _src, class_t clas, void* _moves)
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moves[clas].do(dest.c, moves[clas].label)
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cdef void* _init_state(Pool mem, int length, void* tokens) except NULL:
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cdef StateClass st = StateClass.init(<const TokenC*>tokens, length)
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# Ensure sent_start is set to 0 throughout
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# Ensure sent_start is set to 0 throughout
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for i in range(st.c.length):
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st.c._sent[i].sent_start = False
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st.c._sent[i].l_edge = i
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st.c._sent[i].r_edge = i
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st.fast_forward()
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Py_INCREF(st)
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return <void*>st
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cdef int _check_final_state(void* _state, void* extra_args) except -1:
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return (<StateClass>_state).is_final()
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@ -52,7 +52,7 @@ cdef bint _entity_is_sunk(StateClass st, Transition* golds) nogil:
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cdef class BiluoPushDown(TransitionSystem):
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@classmethod
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def get_actions(cls, **kwargs):
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actions = kwargs.get('actions',
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actions = kwargs.get('actions',
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{
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MISSING: {'': True},
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BEGIN: {},
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@ -159,6 +159,7 @@ cdef class BiluoPushDown(TransitionSystem):
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return t
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cdef int initialize_state(self, StateC* st) nogil:
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# This is especially necessary when we use limited training data.
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for i in range(st.length):
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if st._sent[i].ent_type != 0:
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with gil:
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@ -248,7 +249,7 @@ cdef class In:
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elif st.B_(1).sent_start:
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return False
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return st.entity_is_open() and label != 0 and st.E_(0).ent_type == label
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@staticmethod
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cdef int transition(StateC* st, int label) nogil:
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st.set_ent_tag(st.B(0), 1, label)
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@ -262,7 +263,7 @@ cdef class In:
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cdef int g_act = gold.ner[s.B(0)].move
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cdef int g_tag = gold.ner[s.B(0)].label
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cdef bint is_sunk = _entity_is_sunk(s, gold.ner)
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if g_act == MISSING:
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return 0
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elif g_act == BEGIN:
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@ -304,7 +305,7 @@ cdef class Last:
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cdef int g_act = gold.ner[s.B(0)].move
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cdef int g_tag = gold.ner[s.B(0)].label
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if g_act == MISSING:
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return 0
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elif g_act == BEGIN:
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@ -381,7 +382,7 @@ cdef class Out:
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st.set_ent_tag(st.B(0), 2, 0)
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st.push()
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st.pop()
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@staticmethod
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cdef weight_t cost(StateClass s, const GoldParseC* gold, int label) nogil:
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cdef int g_act = gold.ner[s.B(0)].move
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@ -406,7 +407,7 @@ cdef class Out:
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return 1
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else:
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return 1
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class OracleError(Exception):
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pass
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@ -28,6 +28,7 @@ ctypedef weight_t (*label_cost_func_t)(StateClass state, const GoldParseC* gold,
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ctypedef int (*do_func_t)(StateC* state, int label) nogil
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ctypedef void* (*init_state_t)(Pool mem, int length, void* tokens) except NULL
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cdef class TransitionSystem:
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cdef Pool mem
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@ -37,6 +38,7 @@ cdef class TransitionSystem:
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cdef int _size
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cdef public int root_label
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cdef public freqs
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cdef init_state_t init_beam_state
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cdef int initialize_state(self, StateC* state) nogil
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cdef int finalize_state(self, StateC* state) nogil
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@ -6,6 +6,7 @@ from collections import defaultdict
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from ..structs cimport TokenC
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from .stateclass cimport StateClass
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from ..attrs cimport TAG, HEAD, DEP, ENT_TYPE, ENT_IOB
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from cpython.ref cimport PyObject, Py_INCREF, Py_XDECREF
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cdef weight_t MIN_SCORE = -90000
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pass
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cdef void* _init_state(Pool mem, int length, void* tokens) except NULL:
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cdef StateClass st = StateClass.init(<const TokenC*>tokens, length)
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# Ensure sent_start is set to 0 throughout
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for i in range(st.c.length):
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st.c._sent[i].sent_start = False
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Py_INCREF(st)
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return <void*>st
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cdef class TransitionSystem:
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def __init__(self, StringStore string_table, dict labels_by_action, _freqs=None):
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self.mem = Pool()
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self.strings = string_table
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self.n_moves = 0
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self._size = 100
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self.c = <Transition*>self.mem.alloc(self._size, sizeof(Transition))
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for action, label_strs in sorted(labels_by_action.items()):
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for label_str in sorted(label_strs):
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self.add_action(int(action), label_str)
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self.root_label = self.strings['ROOT']
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self.freqs = {} if _freqs is None else _freqs
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for attr in (TAG, HEAD, DEP, ENT_TYPE, ENT_IOB):
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for i in range(10024):
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self.freqs[HEAD][i] = 1
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self.freqs[HEAD][-i] = 1
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self.init_beam_state = _init_state
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def __reduce__(self):
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labels_by_action = {}
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@ -96,7 +106,7 @@ cdef class TransitionSystem:
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if self.n_moves >= self._size:
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self._size *= 2
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self.c = <Transition*>self.mem.realloc(self.c, self._size * sizeof(self.c[0]))
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self.c[self.n_moves] = self.init_transition(self.n_moves, action, label)
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self.n_moves += 1
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return 1
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