from libc.string cimport memset cimport numpy as np from ..vocab cimport Vocab from ..typedefs cimport hash_t, attr_t from ..morphology cimport list_features, check_feature, get_by_field cdef class MorphAnalysis: """Control access to morphological features for a token.""" def __init__(self, Vocab vocab, features=dict()): self.vocab = vocab self.key = self.vocab.morphology.add(features) analysis = self.vocab.morphology.tags.get(self.key) if analysis is not NULL: self.c = analysis[0] else: memset(&self.c, 0, sizeof(self.c)) @classmethod def from_id(cls, Vocab vocab, hash_t key): """Create a morphological analysis from a given ID.""" cdef MorphAnalysis morph = MorphAnalysis.__new__(MorphAnalysis, vocab) morph.vocab = vocab morph.key = key analysis = vocab.morphology.tags.get(key) if analysis is not NULL: morph.c = analysis[0] else: memset(&morph.c, 0, sizeof(morph.c)) return morph def __contains__(self, feature): """Test whether the morphological analysis contains some feature.""" cdef attr_t feat_id = self.vocab.strings.as_int(feature) return check_feature(&self.c, feat_id) def __iter__(self): """Iterate over the features in the analysis.""" cdef attr_t feature for feature in list_features(&self.c): yield self.vocab.strings[feature] def __len__(self): """The number of features in the analysis.""" return self.c.length def __str__(self): return self.to_json() def __repr__(self): return self.to_json() def __hash__(self): return self.key def __eq__(self, other): return self.key == other.key def __ne__(self, other): return self.key != other.key def get(self, field): """Retrieve a feature by field.""" cdef attr_t field_id = self.vocab.strings.as_int(field) cdef np.ndarray results = get_by_field(&self.c, field_id) return [self.vocab.strings[result] for result in results] def to_json(self): """Produce a json serializable representation as a UD FEATS-style string. """ morph_string = self.vocab.strings[self.c.key] if morph_string == self.vocab.morphology.EMPTY_MORPH: return "" return morph_string def to_dict(self): """Produce a dict representation. """ return self.vocab.morphology.feats_to_dict(self.to_json())