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