mirror of https://github.com/explosion/spaCy.git
236 lines
8.5 KiB
Cython
236 lines
8.5 KiB
Cython
# cython: infer_types=True
|
|
from __future__ import print_function
|
|
from cymem.cymem cimport Pool
|
|
|
|
from collections import Counter
|
|
import srsly
|
|
|
|
from . cimport _beam_utils
|
|
from ...typedefs cimport weight_t, attr_t
|
|
from ...tokens.doc cimport Doc
|
|
from ...structs cimport TokenC
|
|
from .stateclass cimport StateClass
|
|
|
|
from ...errors import Errors
|
|
from ... import util
|
|
|
|
|
|
cdef weight_t MIN_SCORE = -90000
|
|
|
|
|
|
class OracleError(Exception):
|
|
pass
|
|
|
|
|
|
cdef void* _init_state(Pool mem, int length, void* tokens) except NULL:
|
|
cdef StateC* st = new StateC(<const TokenC*>tokens, length)
|
|
return <void*>st
|
|
|
|
|
|
cdef int _del_state(Pool mem, void* state, void* x) except -1:
|
|
cdef StateC* st = <StateC*>state
|
|
del st
|
|
|
|
|
|
cdef class TransitionSystem:
|
|
def __init__(self, StringStore string_table, labels_by_action=None, min_freq=None):
|
|
self.mem = Pool()
|
|
self.strings = string_table
|
|
self.n_moves = 0
|
|
self._size = 100
|
|
|
|
self.c = <Transition*>self.mem.alloc(self._size, sizeof(Transition))
|
|
|
|
self.labels = {}
|
|
if labels_by_action:
|
|
self.initialize_actions(labels_by_action, min_freq=min_freq)
|
|
self.root_label = self.strings.add('ROOT')
|
|
self.init_beam_state = _init_state
|
|
self.del_beam_state = _del_state
|
|
|
|
def __reduce__(self):
|
|
return (self.__class__, (self.strings, self.labels), None, None)
|
|
|
|
def init_batch(self, docs):
|
|
cdef StateClass state
|
|
states = []
|
|
offset = 0
|
|
for doc in docs:
|
|
state = StateClass(doc, offset=offset)
|
|
states.append(state)
|
|
offset += len(doc)
|
|
return states
|
|
|
|
def get_oracle_sequence(self, Example example, _debug=False):
|
|
states, golds, _ = self.init_gold_batch([example])
|
|
if not states:
|
|
return []
|
|
state = states[0]
|
|
gold = golds[0]
|
|
if _debug:
|
|
return self.get_oracle_sequence_from_state(state, gold, _debug=example)
|
|
else:
|
|
return self.get_oracle_sequence_from_state(state, gold)
|
|
|
|
def get_oracle_sequence_from_state(self, StateClass state, gold, _debug=None):
|
|
cdef Pool mem = Pool()
|
|
# n_moves should not be zero at this point, but make sure to avoid zero-length mem alloc
|
|
assert self.n_moves > 0
|
|
costs = <float*>mem.alloc(self.n_moves, sizeof(float))
|
|
is_valid = <int*>mem.alloc(self.n_moves, sizeof(int))
|
|
|
|
history = []
|
|
debug_log = []
|
|
while not state.is_final():
|
|
self.set_costs(is_valid, costs, state.c, gold)
|
|
for i in range(self.n_moves):
|
|
if is_valid[i] and costs[i] <= 0:
|
|
action = self.c[i]
|
|
history.append(i)
|
|
if _debug:
|
|
s0 = state.S(0)
|
|
b0 = state.B(0)
|
|
example = _debug
|
|
debug_log.append(" ".join((
|
|
self.get_class_name(i),
|
|
"S0=", (example.x[s0].text if s0 >= 0 else "__"),
|
|
"B0=", (example.x[b0].text if b0 >= 0 else "__"),
|
|
"S0 head?", str(state.has_head(state.S(0))),
|
|
)))
|
|
action.do(state.c, action.label)
|
|
break
|
|
else:
|
|
if _debug:
|
|
example = _debug
|
|
print("Actions")
|
|
for i in range(self.n_moves):
|
|
print(self.get_class_name(i))
|
|
print("Gold")
|
|
for token in example.y:
|
|
print(token.text, token.dep_, token.head.text)
|
|
s0 = state.S(0)
|
|
b0 = state.B(0)
|
|
debug_log.append(" ".join((
|
|
"?",
|
|
"S0=", (example.x[s0].text if s0 >= 0 else "-"),
|
|
"B0=", (example.x[b0].text if b0 >= 0 else "-"),
|
|
"S0 head?", str(state.has_head(state.S(0))),
|
|
)))
|
|
print("\n".join(debug_log))
|
|
raise ValueError(Errors.E024)
|
|
return history
|
|
|
|
def apply_transition(self, StateClass state, name):
|
|
if not self.is_valid(state, name):
|
|
raise ValueError(Errors.E170.format(name=name))
|
|
action = self.lookup_transition(name)
|
|
action.do(state.c, action.label)
|
|
|
|
cdef Transition lookup_transition(self, object name) except *:
|
|
raise NotImplementedError
|
|
|
|
cdef Transition init_transition(self, int clas, int move, attr_t label) except *:
|
|
raise NotImplementedError
|
|
|
|
def is_valid(self, StateClass stcls, move_name):
|
|
action = self.lookup_transition(move_name)
|
|
return action.is_valid(stcls.c, action.label)
|
|
|
|
cdef int set_valid(self, int* is_valid, const StateC* st) nogil:
|
|
cdef int i
|
|
for i in range(self.n_moves):
|
|
is_valid[i] = self.c[i].is_valid(st, self.c[i].label)
|
|
|
|
cdef int set_costs(self, int* is_valid, weight_t* costs,
|
|
const StateC* state, gold) except -1:
|
|
raise NotImplementedError
|
|
|
|
def get_class_name(self, int clas):
|
|
act = self.c[clas]
|
|
return self.move_name(act.move, act.label)
|
|
|
|
def initialize_actions(self, labels_by_action, min_freq=None):
|
|
self.labels = {}
|
|
self.n_moves = 0
|
|
added_labels = []
|
|
added_actions = {}
|
|
for action, label_freqs in sorted(labels_by_action.items()):
|
|
action = int(action)
|
|
# Make sure we take a copy here, and that we get a Counter
|
|
self.labels[action] = Counter()
|
|
# Have to be careful here: Sorting must be stable, or our model
|
|
# won't be read back in correctly.
|
|
sorted_labels = [(f, L) for L, f in label_freqs.items()]
|
|
sorted_labels.sort()
|
|
sorted_labels.reverse()
|
|
for freq, label_str in sorted_labels:
|
|
if freq < 0:
|
|
added_labels.append((freq, label_str))
|
|
added_actions.setdefault(label_str, []).append(action)
|
|
else:
|
|
self.add_action(int(action), label_str)
|
|
self.labels[action][label_str] = freq
|
|
added_labels.sort(reverse=True)
|
|
for freq, label_str in added_labels:
|
|
for action in added_actions[label_str]:
|
|
self.add_action(int(action), label_str)
|
|
self.labels[action][label_str] = freq
|
|
|
|
def add_action(self, int action, label_name):
|
|
cdef attr_t label_id
|
|
if not isinstance(label_name, int) and \
|
|
not isinstance(label_name, long):
|
|
label_id = self.strings.add(label_name)
|
|
else:
|
|
label_id = label_name
|
|
# Check we're not creating a move we already have, so that this is
|
|
# idempotent
|
|
for trans in self.c[:self.n_moves]:
|
|
if trans.move == action and trans.label == label_id:
|
|
return 0
|
|
if self.n_moves >= self._size:
|
|
self._size *= 2
|
|
self.c = <Transition*>self.mem.realloc(self.c, self._size * sizeof(self.c[0]))
|
|
self.c[self.n_moves] = self.init_transition(self.n_moves, action, label_id)
|
|
self.n_moves += 1
|
|
# Add the new (action, label) pair, making up a frequency for it if
|
|
# necessary. To preserve sort order, the frequency needs to be lower
|
|
# than previous frequencies.
|
|
if self.labels.get(action, []):
|
|
new_freq = min(self.labels[action].values())
|
|
else:
|
|
self.labels[action] = Counter()
|
|
new_freq = -1
|
|
if new_freq > 0:
|
|
new_freq = 0
|
|
self.labels[action][label_name] = new_freq-1
|
|
return 1
|
|
|
|
def to_disk(self, path, **kwargs):
|
|
with path.open('wb') as file_:
|
|
file_.write(self.to_bytes(**kwargs))
|
|
|
|
def from_disk(self, path, **kwargs):
|
|
with path.open('rb') as file_:
|
|
byte_data = file_.read()
|
|
self.from_bytes(byte_data, **kwargs)
|
|
return self
|
|
|
|
def to_bytes(self, exclude=tuple()):
|
|
transitions = []
|
|
serializers = {
|
|
'moves': lambda: srsly.json_dumps(self.labels),
|
|
'strings': lambda: self.strings.to_bytes()
|
|
}
|
|
return util.to_bytes(serializers, exclude)
|
|
|
|
def from_bytes(self, bytes_data, exclude=tuple()):
|
|
labels = {}
|
|
deserializers = {
|
|
'moves': lambda b: labels.update(srsly.json_loads(b)),
|
|
'strings': lambda b: self.strings.from_bytes(b)
|
|
}
|
|
msg = util.from_bytes(bytes_data, deserializers, exclude)
|
|
self.initialize_actions(labels)
|
|
return self
|