spaCy/spacy/syntax/transition_system.pyx

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from cymem.cymem cimport Pool
from ..structs cimport TokenC
from thinc.typedefs cimport weight_t
from .stateclass cimport StateClass
cdef weight_t MIN_SCORE = -90000
class OracleError(Exception):
pass
cdef class TransitionSystem:
def __init__(self, StringStore string_table, dict labels_by_action):
self.mem = Pool()
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self.n_moves = sum(len(labels) for labels in labels_by_action.values())
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self._is_valid = <bint*>self.mem.alloc(self.n_moves, sizeof(bint))
moves = <Transition*>self.mem.alloc(self.n_moves, sizeof(Transition))
cdef int i = 0
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cdef int label_id
self.strings = string_table
for action, label_strs in sorted(labels_by_action.items()):
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for label_str in sorted(label_strs):
label_id = self.strings[unicode(label_str)] if label_str else 0
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moves[i] = self.init_transition(i, int(action), label_id)
i += 1
self.c = moves
cdef int initialize_state(self, StateClass state) except -1:
pass
cdef int finalize_state(self, StateClass state) except -1:
pass
cdef int preprocess_gold(self, GoldParse gold) except -1:
raise NotImplementedError
cdef Transition lookup_transition(self, object name) except *:
raise NotImplementedError
cdef Transition init_transition(self, int clas, int move, int label) except *:
raise NotImplementedError
cdef Transition best_valid(self, const weight_t* scores, StateClass s) except *:
raise NotImplementedError
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cdef int set_valid(self, bint* output, StateClass state) except -1:
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raise NotImplementedError
cdef int set_costs(self, int* output, StateClass stcls, GoldParse gold) except -1:
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cdef int i
for i in range(self.n_moves):
if self.c[i].is_valid(stcls, self.c[i].label):
output[i] = self.c[i].get_cost(stcls, &gold.c, self.c[i].label)
else:
output[i] = 9000
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cdef Transition best_gold(self, const weight_t* scores, StateClass stcls,
GoldParse gold) except *:
cdef Transition best
cdef weight_t score = MIN_SCORE
cdef int i
for i in range(self.n_moves):
if self.c[i].is_valid(stcls, self.c[i].label):
cost = self.c[i].get_cost(stcls, &gold.c, self.c[i].label)
if scores[i] > score and cost == 0:
best = self.c[i]
score = scores[i]
assert score > MIN_SCORE
return best