spaCy/spacy/kb.pyx

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# cython: profile=True
# coding: utf8
cdef class KnowledgeBase:
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def __init__(self):
self._entry_index = PreshMap()
self._alias_index = PreshMap()
self.mem = Pool()
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self.strings = StringStore()
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def __len__(self):
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return self.get_size_entities()
def get_size_entities(self):
return self._entries.size()
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def get_size_aliases(self):
return self._aliases_table.size()
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def add_entity(self, unicode entity_id, float prob, vectors=None, features=None):
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cdef hash_t id_hash = self.strings.add(entity_id)
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# TODO: more friendly check for non-unique name
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if id_hash in self._entry_index:
return
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cdef int32_t dummy_value = 342
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self.c_add_entity(entity_key=id_hash, prob=prob, vector_rows=&dummy_value, feats_row=dummy_value)
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# TODO self._vectors_table.get_pointer(vectors),
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# self._features_table.get(features))
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def add_alias(self, unicode alias, entities, probabilities):
"""For a given alias, add its potential entities and prior probabilies to the KB."""
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cdef hash_t alias_hash = self.strings.add(alias)
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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.strings[entity]
if not entity_hash in self._entry_index:
raise ValueError("Alias '" + alias + "' defined for unknown entity '" + entity + "'")
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entry_index = <int64_t>self._entry_index.get(entity_hash)
entry_indices.push_back(int(entry_index))
probs.push_back(float(prob))
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# TODO: check that alias hadn't been defined before
# TODO: check sum(probabilities) <= 1
# TODO: check len(entities) == len(probabilities)
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self.c_add_aliases(alias_key=alias_hash, entry_indices=entry_indices, probs=probs)
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def get_candidates(self, unicode alias):
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cdef hash_t alias_hash = self.strings.add(alias)
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alias_index = <int64_t>self._alias_index.get(alias_hash)
return self._aliases_table[alias_index]