spaCy/spacy/tokens/token.pxd

77 lines
2.5 KiB
Cython

from numpy cimport ndarray
from ..vocab cimport Vocab
from ..structs cimport TokenC
from ..attrs cimport *
from ..typedefs cimport attr_t, flags_t
from ..parts_of_speech cimport univ_pos_t
from .doc cimport Doc
from ..lexeme cimport Lexeme
from ..errors import Errors
cdef class Token:
cdef readonly Vocab vocab
cdef TokenC* c
cdef readonly int i
cdef readonly Doc doc
@staticmethod
cdef inline Token cinit(Vocab vocab, const TokenC* token, int offset, Doc doc):
if offset < 0 or offset >= doc.length:
raise IndexError(Errors.E040.format(i=offset, max_length=doc.length))
cdef Token self = Token.__new__(Token, vocab, doc, offset)
return self
#cdef inline TokenC struct_from_attrs(Vocab vocab, attrs):
# cdef TokenC token
# attrs = normalize_attrs(attrs)
cpdef bint check_flag(self, attr_id_t flag_id) except -1
@staticmethod
cdef inline attr_t get_struct_attr(const TokenC* token, attr_id_t feat_name) nogil:
if feat_name < (sizeof(flags_t) * 8):
return Lexeme.c_check_flag(token.lex, feat_name)
elif feat_name == LEMMA:
return token.lemma
elif feat_name == POS:
return token.pos
elif feat_name == TAG:
return token.tag
elif feat_name == DEP:
return token.dep
elif feat_name == HEAD:
return token.head
elif feat_name == SPACY:
return token.spacy
elif feat_name == ENT_IOB:
return token.ent_iob
elif feat_name == ENT_TYPE:
return token.ent_type
elif feat_name == SENT_START:
return token.sent_start
else:
return Lexeme.get_struct_attr(token.lex, feat_name)
@staticmethod
cdef inline attr_t set_struct_attr(TokenC* token, attr_id_t feat_name,
attr_t value) nogil:
if feat_name == LEMMA:
token.lemma = value
elif feat_name == POS:
token.pos = <univ_pos_t>value
elif feat_name == TAG:
token.tag = value
elif feat_name == DEP:
token.dep = value
elif feat_name == HEAD:
token.head = value
elif feat_name == SPACY:
token.spacy = value
elif feat_name == ENT_IOB:
token.ent_iob = value
elif feat_name == ENT_TYPE:
token.ent_type = value
elif feat_name == SENT_START:
token.sent_start = value