mirror of
https://github.com/explosion/spaCy.git
synced 2024-12-25 17:36:30 +03:00
132 lines
4.4 KiB
Cython
132 lines
4.4 KiB
Cython
# cython: profile=True
|
|
# coding: utf8
|
|
from spacy.errors import Errors, Warnings, user_warning
|
|
|
|
|
|
cdef class Candidate:
|
|
|
|
def __init__(self, KnowledgeBase kb, entity_hash, alias_hash, prior_prob):
|
|
self.kb = kb
|
|
self.entity_hash = entity_hash
|
|
self.alias_hash = alias_hash
|
|
self.prior_prob = prior_prob
|
|
|
|
@property
|
|
def entity(self):
|
|
"""RETURNS (uint64): hash of the entity's KB ID/name"""
|
|
return self.entity_hash
|
|
|
|
@property
|
|
def entity_(self):
|
|
"""RETURNS (unicode): ID/name of this entity in the KB"""
|
|
return self.kb.vocab.strings[self.entity]
|
|
|
|
@property
|
|
def alias(self):
|
|
"""RETURNS (uint64): hash of the alias"""
|
|
return self.alias_hash
|
|
|
|
@property
|
|
def alias_(self):
|
|
"""RETURNS (unicode): ID of the original alias"""
|
|
return self.kb.vocab.strings[self.alias]
|
|
|
|
@property
|
|
def prior_prob(self):
|
|
return self.prior_prob
|
|
|
|
|
|
cdef class KnowledgeBase:
|
|
|
|
def __init__(self, Vocab vocab):
|
|
self.vocab = vocab
|
|
self._entry_index = PreshMap()
|
|
self._alias_index = PreshMap()
|
|
self.mem = Pool()
|
|
self._create_empty_vectors()
|
|
|
|
def __len__(self):
|
|
return self.get_size_entities()
|
|
|
|
def get_size_entities(self):
|
|
return self._entries.size() - 1 # not counting dummy element on index 0
|
|
|
|
def get_size_aliases(self):
|
|
return self._aliases_table.size() - 1 # not counting dummy element on index 0
|
|
|
|
def add_entity(self, unicode entity, float prob=0.5, vectors=None, features=None):
|
|
"""
|
|
Add an entity to the KB.
|
|
Return the hash of the entity ID at the end
|
|
"""
|
|
cdef hash_t entity_hash = self.vocab.strings.add(entity)
|
|
|
|
# Return if this entity was added before
|
|
if entity_hash in self._entry_index:
|
|
user_warning(Warnings.W018.format(entity=entity))
|
|
return
|
|
|
|
cdef int32_t dummy_value = 342
|
|
self.c_add_entity(entity_hash=entity_hash, prob=prob,
|
|
vector_rows=&dummy_value, feats_row=dummy_value)
|
|
# TODO self._vectors_table.get_pointer(vectors),
|
|
# self._features_table.get(features))
|
|
|
|
return entity_hash
|
|
|
|
def add_alias(self, unicode alias, entities, probabilities):
|
|
"""
|
|
For a given alias, add its potential entities and prior probabilies to the KB.
|
|
Return the alias_hash at the end
|
|
"""
|
|
|
|
# Throw an error if the length of entities and probabilities are not the same
|
|
if not len(entities) == len(probabilities):
|
|
raise ValueError(Errors.E132.format(alias=alias,
|
|
entities_length=len(entities),
|
|
probabilities_length=len(probabilities)))
|
|
|
|
# Throw an error if the probabilities sum up to more than 1
|
|
prob_sum = sum(probabilities)
|
|
if prob_sum > 1:
|
|
raise ValueError(Errors.E133.format(alias=alias, sum=prob_sum))
|
|
|
|
cdef hash_t alias_hash = self.vocab.strings.add(alias)
|
|
|
|
# Return if this alias was added before
|
|
if alias_hash in self._alias_index:
|
|
user_warning(Warnings.W017.format(alias=alias))
|
|
return
|
|
|
|
cdef hash_t entity_hash
|
|
|
|
cdef vector[int64_t] entry_indices
|
|
cdef vector[float] probs
|
|
|
|
for entity, prob in zip(entities, probabilities):
|
|
entity_hash = self.vocab.strings[entity]
|
|
if not entity_hash in self._entry_index:
|
|
raise ValueError(Errors.E134.format(alias=alias, entity=entity))
|
|
|
|
entry_index = <int64_t>self._entry_index.get(entity_hash)
|
|
entry_indices.push_back(int(entry_index))
|
|
probs.push_back(float(prob))
|
|
|
|
self.c_add_aliases(alias_hash=alias_hash, entry_indices=entry_indices, probs=probs)
|
|
|
|
return alias_hash
|
|
|
|
|
|
def get_candidates(self, unicode alias):
|
|
""" TODO: where to put this functionality ?"""
|
|
cdef hash_t alias_hash = self.vocab.strings[alias]
|
|
alias_index = <int64_t>self._alias_index.get(alias_hash)
|
|
alias_entry = self._aliases_table[alias_index]
|
|
|
|
return [Candidate(kb=self,
|
|
entity_hash=self._entries[entry_index].entity_hash,
|
|
alias_hash=alias_hash,
|
|
prior_prob=prob)
|
|
for (entry_index, prob) in zip(alias_entry.entry_indices, alias_entry.probs)
|
|
if entry_index != 0]
|