mirror of
https://github.com/explosion/spaCy.git
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358 lines
10 KiB
Cython
358 lines
10 KiB
Cython
from libc.string cimport memcpy
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from cpython.mem cimport PyMem_Malloc, PyMem_Free
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# Compiler crashes on memory view coercion without this. Should report bug.
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from cython.view cimport array as cvarray
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cimport numpy as np
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np.import_array()
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import numpy
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from ..lexeme cimport Lexeme
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from .. import parts_of_speech
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from ..attrs cimport LEMMA
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from ..attrs cimport ID, ORTH, NORM, LOWER, SHAPE, PREFIX, SUFFIX, LENGTH, CLUSTER
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from ..attrs cimport POS, LEMMA, TAG, DEP
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from ..parts_of_speech cimport CONJ, PUNCT
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from ..attrs cimport IS_ALPHA, IS_ASCII, IS_DIGIT, IS_LOWER, IS_PUNCT, IS_SPACE
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from ..attrs cimport IS_TITLE, IS_UPPER, LIKE_URL, LIKE_NUM, LIKE_EMAIL, IS_STOP
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from ..attrs cimport IS_OOV
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from ..lexeme cimport Lexeme
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cdef class Token:
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"""An individual token --- i.e. a word, a punctuation symbol, etc. Created
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via Doc.__getitem__ and Doc.__iter__.
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"""
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def __cinit__(self, Vocab vocab, Doc doc, int offset):
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self.vocab = vocab
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self.doc = doc
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self.c = &self.doc.data[offset]
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self.i = offset
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self.array_len = doc.length
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def __len__(self):
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return self.c.lex.length
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def __unicode__(self):
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return self.string
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def __str__(self):
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return self.string
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cpdef bint check_flag(self, attr_id_t flag_id) except -1:
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return Lexeme.c_check_flag(self.c.lex, flag_id)
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def nbor(self, int i=1):
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return self.doc[self.i+i]
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def similarity(self, other):
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if self.vector_norm == 0 or other.vector_norm == 0:
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return 0.0
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return numpy.dot(self.vector, other.vector) / (self.vector_norm * other.vector_norm)
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property lex_id:
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def __get__(self):
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return self.c.lex.id
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property string:
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def __get__(self):
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cdef unicode orth = self.vocab.strings[self.c.lex.orth]
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if self.c.spacy:
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return orth + u' '
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else:
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return orth
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property text:
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def __get__(self):
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return self.orth_
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property text_with_ws:
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def __get__(self):
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cdef unicode orth = self.vocab.strings[self.c.lex.orth]
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if self.c.spacy:
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return orth + u' '
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else:
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return orth
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property prob:
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def __get__(self):
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return self.c.lex.prob
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property idx:
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def __get__(self):
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return self.c.idx
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property cluster:
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def __get__(self):
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return self.c.lex.cluster
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property orth:
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def __get__(self):
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return self.c.lex.orth
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property lower:
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def __get__(self):
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return self.c.lex.lower
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property norm:
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def __get__(self):
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return self.c.lex.norm
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property shape:
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def __get__(self):
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return self.c.lex.shape
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property prefix:
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def __get__(self):
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return self.c.lex.prefix
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property suffix:
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def __get__(self):
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return self.c.lex.suffix
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property lemma:
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def __get__(self):
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return self.c.lemma
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property pos:
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def __get__(self):
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return self.c.pos
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property tag:
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def __get__(self):
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return self.c.tag
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property dep:
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def __get__(self):
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return self.c.dep
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property has_vector:
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def __get__(self):
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cdef int i
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for i in range(self.vocab.vectors_length):
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if self.c.lex.repvec[i] != 0:
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return True
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else:
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return False
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property vector:
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def __get__(self):
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cdef int length = self.vocab.vectors_length
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if length == 0:
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raise ValueError(
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"Word vectors set to length 0. This may be because the "
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"data is not installed. If you haven't already, run"
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"\npython -m spacy.en.download all\n"
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"to install the data."
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)
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repvec_view = <float[:length,]>self.c.lex.repvec
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return numpy.asarray(repvec_view)
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property repvec:
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def __get__(self):
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return self.vector
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property vector_norm:
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def __get__(self):
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return self.c.lex.l2_norm
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property n_lefts:
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def __get__(self):
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cdef int n = 0
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cdef const TokenC* ptr = self.c - self.i
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while ptr != self.c:
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if ptr + ptr.head == self.c:
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n += 1
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ptr += 1
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return n
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property n_rights:
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def __get__(self):
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cdef int n = 0
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cdef const TokenC* ptr = self.c + (self.array_len - self.i)
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while ptr != self.c:
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if ptr + ptr.head == self.c:
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n += 1
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ptr -= 1
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return n
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property lefts:
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def __get__(self):
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"""The leftward immediate children of the word, in the syntactic
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dependency parse.
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"""
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cdef const TokenC* ptr = self.c - (self.i - self.c.l_edge)
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while ptr < self.c:
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# If this head is still to the right of us, we can skip to it
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# No token that's between this token and this head could be our
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# child.
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if (ptr.head >= 1) and (ptr + ptr.head) < self.c:
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ptr += ptr.head
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elif ptr + ptr.head == self.c:
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yield self.doc[ptr - (self.c - self.i)]
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ptr += 1
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else:
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ptr += 1
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property rights:
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def __get__(self):
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"""The rightward immediate children of the word, in the syntactic
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dependency parse."""
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cdef const TokenC* ptr = self.c + (self.c.r_edge - self.i)
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tokens = []
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while ptr > self.c:
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# If this head is still to the right of us, we can skip to it
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# No token that's between this token and this head could be our
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# child.
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if (ptr.head < 0) and ((ptr + ptr.head) > self.c):
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ptr += ptr.head
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elif ptr + ptr.head == self.c:
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tokens.append(self.doc[ptr - (self.c - self.i)])
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ptr -= 1
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else:
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ptr -= 1
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tokens.reverse()
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for t in tokens:
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yield t
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property children:
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def __get__(self):
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yield from self.lefts
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yield from self.rights
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property subtree:
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def __get__(self):
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for word in self.lefts:
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yield from word.subtree
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yield self
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for word in self.rights:
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yield from word.subtree
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property left_edge:
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def __get__(self):
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return self.doc[self.c.l_edge]
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property right_edge:
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def __get__(self):
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return self.doc[self.c.r_edge]
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property head:
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def __get__(self):
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"""The token predicted by the parser to be the head of the current token."""
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return self.doc[self.i + self.c.head]
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property conjuncts:
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def __get__(self):
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"""Get a list of conjoined words."""
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cdef Token word
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conjuncts = []
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if self.dep_ != 'conj':
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for word in self.rights:
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if word.dep_ == 'conj':
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yield word
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yield from word.conjuncts
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conjuncts.append(word)
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conjuncts.extend(word.conjuncts)
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property ent_type:
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def __get__(self):
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return self.c.ent_type
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property ent_iob:
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def __get__(self):
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return self.c.ent_iob
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property ent_type_:
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def __get__(self):
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return self.vocab.strings[self.c.ent_type]
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property ent_iob_:
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def __get__(self):
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iob_strings = ('', 'I', 'O', 'B')
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return iob_strings[self.c.ent_iob]
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property whitespace_:
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def __get__(self):
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return self.string[self.c.lex.length:]
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property orth_:
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def __get__(self):
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return self.vocab.strings[self.c.lex.orth]
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property lower_:
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def __get__(self):
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return self.vocab.strings[self.c.lex.lower]
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property norm_:
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def __get__(self):
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return self.vocab.strings[self.c.lex.norm]
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property shape_:
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def __get__(self):
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return self.vocab.strings[self.c.lex.shape]
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property prefix_:
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def __get__(self):
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return self.vocab.strings[self.c.lex.prefix]
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property suffix_:
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def __get__(self):
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return self.vocab.strings[self.c.lex.suffix]
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property lemma_:
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def __get__(self):
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return self.vocab.strings[self.c.lemma]
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property pos_:
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def __get__(self):
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return parts_of_speech.NAMES[self.c.pos]
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property tag_:
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def __get__(self):
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return self.vocab.strings[self.c.tag]
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property dep_:
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def __get__(self):
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return self.vocab.strings[self.c.dep]
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property is_oov:
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def __get__(self): return Lexeme.c_check_flag(self.c.lex, IS_OOV)
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property is_stop:
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def __get__(self): return Lexeme.c_check_flag(self.c.lex, IS_STOP)
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property is_alpha:
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def __get__(self): return Lexeme.c_check_flag(self.c.lex, IS_ALPHA)
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property is_ascii:
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def __get__(self): return Lexeme.c_check_flag(self.c.lex, IS_ASCII)
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property is_digit:
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def __get__(self): return Lexeme.c_check_flag(self.c.lex, IS_DIGIT)
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property is_lower:
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def __get__(self): return Lexeme.c_check_flag(self.c.lex, IS_LOWER)
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property is_title:
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def __get__(self): return Lexeme.c_check_flag(self.c.lex, IS_TITLE)
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property is_punct:
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def __get__(self): return Lexeme.c_check_flag(self.c.lex, IS_PUNCT)
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property is_space:
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def __get__(self): return Lexeme.c_check_flag(self.c.lex, IS_SPACE)
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property like_url:
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def __get__(self): return Lexeme.c_check_flag(self.c.lex, LIKE_URL)
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property like_num:
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def __get__(self): return Lexeme.c_check_flag(self.c.lex, LIKE_NUM)
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property like_email:
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def __get__(self): return Lexeme.c_check_flag(self.c.lex, LIKE_EMAIL)
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