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https://github.com/explosion/spaCy.git
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Fix memory leak in beam parser
This commit is contained in:
parent
86ddf692a1
commit
2512ea9eeb
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@ -9,36 +9,31 @@ from thinc.typedefs cimport hash_t, class_t
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from thinc.extra.search cimport MaxViolation
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from .transition_system cimport TransitionSystem, Transition
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from .stateclass cimport StateClass
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from ..gold cimport GoldParse
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from .stateclass cimport StateC, StateClass
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# These are passed as callbacks to thinc.search.Beam
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cdef int _transition_state(void* _dest, void* _src, class_t clas, void* _moves) except -1:
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dest = <StateClass>_dest
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src = <StateClass>_src
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dest = <StateC*>_dest
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src = <StateC*>_src
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moves = <const Transition*>_moves
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dest.clone(src)
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moves[clas].do(dest.c, moves[clas].label)
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dest.c.push_hist(clas)
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moves[clas].do(dest, moves[clas].label)
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dest.push_hist(clas)
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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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def _cleanup(Beam beam):
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for i in range(beam.width):
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Py_XDECREF(<PyObject*>beam._states[i].content)
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Py_XDECREF(<PyObject*>beam._parents[i].content)
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state = <StateC*>_state
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return state.is_final()
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cdef hash_t _hash_state(void* _state, void* _) except 0:
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state = <StateClass>_state
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if state.c.is_final():
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state = <StateC*>_state
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if state.is_final():
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return 1
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else:
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return state.c.hash()
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return state.hash()
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cdef class ParserBeam(object):
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@ -55,14 +50,15 @@ cdef class ParserBeam(object):
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self.golds = golds
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self.beams = []
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cdef Beam beam
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cdef StateClass state, st
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cdef StateClass state
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cdef StateC* st
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for state in states:
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beam = Beam(self.moves.n_moves, width, density)
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beam.initialize(self.moves.init_beam_state, state.c.length,
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state.c._sent)
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for i in range(beam.width):
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st = <StateClass>beam.at(i)
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st.c.offset = state.c.offset
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st = <StateC*>beam.at(i)
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st.offset = state.c.offset
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self.beams.append(beam)
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self.dones = [False] * len(self.beams)
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@ -86,13 +82,14 @@ cdef class ParserBeam(object):
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if self.golds is not None:
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self._set_costs(beam, self.golds[i], follow_gold=follow_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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beam.advance(_transition_state, _hash_state, <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.check_done(_check_final_state, NULL)
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# This handles the non-monotonic stuff for the parser.
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if beam.is_done and self.golds is not None:
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for j in range(beam.size):
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state = <StateClass>beam.at(j)
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state = StateClass.borrow(<StateC*>beam.at(j))
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if state.is_final():
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try:
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if self.moves.is_gold_parse(state, self.golds[i]):
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@ -107,11 +104,11 @@ cdef class ParserBeam(object):
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cdef int nr_state = min(scores.shape[0], beam.size)
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cdef int nr_class = scores.shape[1]
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for i in range(nr_state):
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state = <StateClass>beam.at(i)
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state = <StateC*>beam.at(i)
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if not state.is_final():
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for j in range(nr_class):
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beam.scores[i][j] = c_scores[i * nr_class + j]
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self.moves.set_valid(beam.is_valid[i], state.c)
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self.moves.set_valid(beam.is_valid[i], state)
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else:
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for j in range(beam.nr_class):
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beam.scores[i][j] = 0
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@ -119,8 +116,8 @@ cdef class ParserBeam(object):
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def _set_costs(self, Beam beam, GoldParse gold, int follow_gold=False):
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for i in range(beam.size):
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state = <StateClass>beam.at(i)
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if not state.c.is_final():
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state = StateClass.borrow(<StateC*>beam.at(i))
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if not state.is_final():
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self.moves.set_costs(beam.is_valid[i], beam.costs[i],
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state, gold)
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if follow_gold:
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@ -157,7 +154,7 @@ def update_beam(TransitionSystem moves, int nr_feature, int max_steps,
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pbeam = ParserBeam(moves, states, golds,
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width=width, density=density)
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gbeam = ParserBeam(moves, states, golds,
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width=width, density=0.0)
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width=width, density=density)
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cdef StateClass state
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beam_maps = []
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backprops = []
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@ -231,7 +228,7 @@ def get_states(pbeams, gbeams, beam_map, nr_update):
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p_indices.append([])
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g_indices.append([])
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for i in range(pbeam.size):
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state = <StateClass>pbeam.at(i)
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state = StateClass.borrow(<StateC*>pbeam.at(i))
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if not state.is_final():
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key = tuple([eg_id] + pbeam.histories[i])
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assert key not in seen, (key, seen)
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@ -240,7 +237,7 @@ def get_states(pbeams, gbeams, beam_map, nr_update):
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states.append(state)
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beam_map.update(seen)
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for i in range(gbeam.size):
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state = <StateClass>gbeam.at(i)
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state = StateClass.borrow(<StateC*>gbeam.at(i))
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if not state.is_final():
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key = tuple([eg_id] + gbeam.histories[i])
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if key in seen:
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@ -292,12 +292,16 @@ cdef int _get_root(int word, const GoldParseC* gold) nogil:
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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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for i in range(st.c.length):
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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 = new StateC(<const TokenC*>tokens, length)
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for i in range(st.length):
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if st._sent[i].dep == 0:
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st._sent[i].l_edge = i
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st._sent[i].r_edge = i
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st._sent[i].head = 0
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st._sent[i].dep = 0
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st._sent[i].l_kids = 0
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st._sent[i].r_kids = 0
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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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@ -533,18 +537,18 @@ cdef class ArcEager(TransitionSystem):
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assert n_gold >= 1
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def get_beam_annot(self, Beam beam):
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length = (<StateClass>beam.at(0)).c.length
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length = (<StateC*>beam.at(0)).length
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heads = [{} for _ in range(length)]
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deps = [{} for _ in range(length)]
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probs = beam.probs
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for i in range(beam.size):
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stcls = <StateClass>beam.at(i)
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self.finalize_state(stcls.c)
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if stcls.is_final():
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state = <StateC*>beam.at(i)
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self.finalize_state(state)
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if state.is_final():
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prob = probs[i]
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for j in range(stcls.c.length):
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head = j + stcls.c._sent[j].head
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dep = stcls.c._sent[j].dep
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for j in range(state.length):
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head = j + state._sent[j].head
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dep = state._sent[j].dep
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heads[j].setdefault(head, 0.0)
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heads[j][head] += prob
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deps[j].setdefault(dep, 0.0)
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@ -123,14 +123,14 @@ cdef class BiluoPushDown(TransitionSystem):
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entities = {}
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probs = beam.probs
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for i in range(beam.size):
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stcls = <StateClass>beam.at(i)
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if stcls.is_final():
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self.finalize_state(stcls.c)
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state = <StateC*>beam.at(i)
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if state.is_final():
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self.finalize_state(state)
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prob = probs[i]
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for j in range(stcls.c._e_i):
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start = stcls.c._ents[j].start
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end = stcls.c._ents[j].end
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label = stcls.c._ents[j].label
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for j in range(state._e_i):
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start = state._ents[j].start
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end = state._ents[j].end
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label = state._ents[j].label
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entities.setdefault((start, end, label), 0.0)
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entities[(start, end, label)] += prob
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return entities
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@ -139,15 +139,15 @@ cdef class BiluoPushDown(TransitionSystem):
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parses = []
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probs = beam.probs
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for i in range(beam.size):
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stcls = <StateClass>beam.at(i)
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if stcls.is_final():
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self.finalize_state(stcls.c)
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state = <StateC*>beam.at(i)
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if state.is_final():
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self.finalize_state(state)
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prob = probs[i]
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parse = []
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for j in range(stcls.c._e_i):
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start = stcls.c._ents[j].start
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end = stcls.c._ents[j].end
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label = stcls.c._ents[j].label
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for j in range(state._e_i):
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start = state._ents[j].start
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end = state._ents[j].end
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label = state._ents[j].label
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parse.append((start, end, self.strings[label]))
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parses.append((prob, parse))
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return parses
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@ -224,6 +224,16 @@ cdef void cpu_regression_loss(float* d_scores,
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d_scores[i] = diff
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def _collect_states(beams):
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cdef StateClass state
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cdef Beam beam
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states = []
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for beam in beams:
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state = StateClass.borrow(<StateC*>beam.at(0))
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states.append(state)
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return states
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cdef class Parser:
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"""
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Base class of the DependencyParser and EntityRecognizer.
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@ -336,7 +346,7 @@ cdef class Parser:
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beam_density=beam_density)
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beam = beams[0]
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output = self.moves.get_beam_annot(beam)
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state = <StateClass>beam.at(0)
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state = StateClass.borrow(<StateC*>beam.at(0))
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self.set_annotations([doc], [state], tensors=tokvecs)
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_cleanup(beam)
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return output
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@ -356,10 +366,10 @@ cdef class Parser:
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if beam_density is None:
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beam_density = self.cfg.get('beam_density', 0.0)
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cdef Doc doc
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cdef Beam beam
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for batch in cytoolz.partition_all(batch_size, docs):
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batch = list(batch)
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by_length = sorted(list(batch), key=lambda doc: len(doc))
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batch_in_order = list(batch)
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by_length = sorted(batch_in_order, key=lambda doc: len(doc))
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batch_beams = []
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for subbatch in cytoolz.partition_all(8, by_length):
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subbatch = list(subbatch)
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if beam_width == 1:
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@ -369,21 +379,20 @@ cdef class Parser:
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beams, tokvecs = self.beam_parse(subbatch,
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beam_width=beam_width,
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beam_density=beam_density)
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parse_states = []
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for beam in beams:
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parse_states.append(<StateClass>beam.at(0))
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self.set_annotations(subbatch, parse_states, tensors=tokvecs)
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yield from batch
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for beam in beams:
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_cleanup(beam)
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parse_states = _collect_states(beams)
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self.set_annotations(subbatch, parse_states, tensors=None)
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for beam in beams:
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_cleanup(beam)
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for doc in batch_in_order:
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yield doc
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def parse_batch(self, docs):
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cdef:
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precompute_hiddens state2vec
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StateClass stcls
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Pool mem
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const float* feat_weights
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StateC* st
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StateClass stcls
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vector[StateC*] states
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int guess, nr_class, nr_feat, nr_piece, nr_dim, nr_state, nr_step
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int j
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@ -488,14 +497,14 @@ cdef class Parser:
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beam = Beam(nr_class, beam_width, min_density=beam_density)
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beam.initialize(self.moves.init_beam_state, doc.length, doc.c)
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for i in range(beam.width):
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stcls = <StateClass>beam.at(i)
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stcls.c.offset = offset
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state = <StateC*>beam.at(i)
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state.offset = offset
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offset += len(doc)
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beam.check_done(_check_final_state, NULL)
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while not beam.is_done:
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states = []
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for i in range(beam.size):
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stcls = <StateClass>beam.at(i)
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stcls = StateClass.borrow(<StateC*>beam.at(i))
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# This way we avoid having to score finalized states
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# We do have to take care to keep indexes aligned, though
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if not stcls.is_final():
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@ -511,9 +520,9 @@ cdef class Parser:
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j = 0
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c_scores = <float*>scores.data
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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.is_final():
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self.moves.set_valid(beam.is_valid[i], stcls.c)
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state = <StateC*>beam.at(i)
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if not state.is_final():
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self.moves.set_valid(beam.is_valid[i], state)
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for k in range(nr_class):
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beam.scores[i][k] = c_scores[j * scores.shape[1] + k]
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j += 1
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@ -965,27 +974,40 @@ cdef int arg_max_if_valid(const weight_t* scores, const int* is_valid, int n) no
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# These are passed as callbacks to thinc.search.Beam
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cdef int _transition_state(void* _dest, void* _src, class_t clas, void* _moves) except -1:
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dest = <StateClass>_dest
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src = <StateClass>_src
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dest = <StateC*>_dest
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src = <StateC*>_src
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moves = <const Transition*>_moves
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dest.clone(src)
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moves[clas].do(dest.c, moves[clas].label)
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dest.c.push_hist(clas)
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moves[clas].do(dest, moves[clas].label)
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dest.push_hist(clas)
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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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state = <StateC*>_state
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return state.is_final()
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def _cleanup(Beam beam):
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cdef StateC* state
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# Once parsing has finished, states in beam may not be unique. Is this
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# correct?
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seen = set()
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for i in range(beam.width):
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Py_XDECREF(<PyObject*>beam._states[i].content)
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Py_XDECREF(<PyObject*>beam._parents[i].content)
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addr = <size_t>beam._parents[i].content
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if addr not in seen:
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state = <StateC*>addr
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del state
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seen.add(addr)
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addr = <size_t>beam._states[i].content
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if addr not in seen:
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state = <StateC*>addr
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del state
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seen.add(addr)
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cdef hash_t _hash_state(void* _state, void* _) except 0:
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state = <StateClass>_state
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if state.c.is_final():
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state = <StateC*>_state
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if state.is_final():
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return 1
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else:
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return state.c.hash()
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return state.hash()
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@ -13,12 +13,22 @@ from ._state cimport StateC
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cdef class StateClass:
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cdef Pool mem
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cdef StateC* c
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cdef int _borrowed
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@staticmethod
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cdef inline StateClass init(const TokenC* sent, int length):
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cdef StateClass self = StateClass()
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self.c = new StateC(sent, length)
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return self
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@staticmethod
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cdef inline StateClass borrow(StateC* ptr):
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cdef StateClass self = StateClass()
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del self.c
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self.c = ptr
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self._borrowed = 1
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return self
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@staticmethod
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cdef inline StateClass init_offset(const TokenC* sent, int length, int
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@ -11,12 +11,14 @@ cdef class StateClass:
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def __init__(self, Doc doc=None, int offset=0):
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cdef Pool mem = Pool()
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self.mem = mem
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self._borrowed = 0
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if doc is not None:
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self.c = new StateC(doc.c, doc.length)
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self.c.offset = offset
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def __dealloc__(self):
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del self.c
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if self._borrowed != 1:
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del self.c
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@property
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def stack(self):
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@ -23,8 +23,7 @@ class OracleError(Exception):
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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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Py_INCREF(st)
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cdef StateC* st = new StateC(<const TokenC*>tokens, length)
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return <void*>st
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