mirror of
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193 lines
6.6 KiB
Cython
193 lines
6.6 KiB
Cython
# cython: embedsignature=True
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from cpython.ref cimport Py_INCREF
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from cymem.cymem cimport Pool
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from murmurhash.mrmr cimport hash64
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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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from libc.string cimport memset
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from .orth cimport word_shape
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from .typedefs cimport attr_t, flags_t
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import numpy
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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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memset(&EMPTY_LEXEME, 0, sizeof(LexemeC))
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cdef class Lexeme:
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"""An entry in the vocabulary. A Lexeme has no string context --- it's a
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word-type, as opposed to a word token. It therefore has no part-of-speech
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tag, dependency parse, or lemma (lemmatization depends on the part-of-speech
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tag).
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"""
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def __init__(self, Vocab vocab, int orth):
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self.vocab = vocab
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self.orth = orth
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self.c = <LexemeC*><void*>vocab.get_by_orth(vocab.mem, orth)
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assert self.c.orth == orth
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def set_flag(self, attr_id_t flag_id, bint value):
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Lexeme.c_set_flag(self.c, flag_id, value)
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def check_flag(self, attr_id_t flag_id):
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return True if Lexeme.c_check_flag(self.c, flag_id) else False
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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 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.vector[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_norm:
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def __get__(self):
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return self.c.l2_norm
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def __set__(self, float value):
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self.c.l2_norm = value
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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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vector_view = <float[:length,]>self.c.vector
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return numpy.asarray(vector_view)
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def __set__(self, vector):
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assert len(vector) == self.vocab.vectors_length
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cdef float value
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for i, value in enumerate(vector):
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self.c.vector[i] = value
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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 orth_:
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def __get__(self):
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return self.vocab.strings[self.c.orth]
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property lower:
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def __get__(self): return self.c.lower
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def __set__(self, int x): self.c.lower = x
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property norm:
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def __get__(self): return self.c.norm
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def __set__(self, int x): self.c.norm = x
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property shape:
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def __get__(self): return self.c.shape
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def __set__(self, int x): self.c.shape = x
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property prefix:
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def __get__(self): return self.c.prefix
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def __set__(self, int x): self.c.prefix = x
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property suffix:
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def __get__(self): return self.c.suffix
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def __set__(self, int x): self.c.suffix = x
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property cluster:
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def __get__(self): return self.c.cluster
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def __set__(self, int x): self.c.cluster = x
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property prob:
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def __get__(self): return self.c.prob
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def __set__(self, float x): self.c.prob = x
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property lower_:
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def __get__(self): return self.vocab.strings[self.c.lower]
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def __set__(self, unicode x): self.c.lower = self.vocab.strings[x]
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property norm_:
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def __get__(self): return self.vocab.strings[self.c.norm]
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def __set__(self, unicode x): self.c.norm = self.vocab.strings[x]
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property shape_:
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def __get__(self): return self.vocab.strings[self.c.shape]
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def __set__(self, unicode x): self.c.shape = self.vocab.strings[x]
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property prefix_:
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def __get__(self): return self.vocab.strings[self.c.prefix]
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def __set__(self, unicode x): self.c.prefix = self.vocab.strings[x]
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property suffix_:
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def __get__(self): return self.vocab.strings[self.c.suffix]
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def __set__(self, unicode x): self.c.suffix = self.vocab.strings[x]
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property flags:
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def __get__(self): return self.c.flags
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def __set__(self, flags_t x): self.c.flags = x
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property is_oov:
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def __get__(self): return Lexeme.c_check_flag(self.c, IS_OOV)
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def __set__(self, bint x): Lexeme.c_set_flag(self.c, IS_OOV, x)
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property is_stop:
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def __get__(self): return Lexeme.c_check_flag(self.c, IS_STOP)
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def __set__(self, bint x): Lexeme.c_set_flag(self.c, IS_STOP, x)
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property is_alpha:
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def __get__(self): return Lexeme.c_check_flag(self.c, IS_ALPHA)
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def __set__(self, bint x): Lexeme.c_set_flag(self.c, IS_ALPHA, x)
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property is_ascii:
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def __get__(self): return Lexeme.c_check_flag(self.c, IS_ASCII)
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def __set__(self, bint x): Lexeme.c_set_flag(self.c, IS_ASCII, x)
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property is_digit:
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def __get__(self): return Lexeme.c_check_flag(self.c, IS_DIGIT)
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def __set__(self, bint x): Lexeme.c_set_flag(self.c, IS_DIGIT, x)
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property is_lower:
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def __get__(self): return Lexeme.c_check_flag(self.c, IS_LOWER)
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def __set__(self, bint x): Lexeme.c_set_flag(self.c, IS_LOWER, x)
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property is_title:
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def __get__(self): return Lexeme.c_check_flag(self.c, IS_TITLE)
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def __set__(self, bint x): Lexeme.c_set_flag(self.c, IS_TITLE, x)
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property is_punct:
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def __get__(self): return Lexeme.c_check_flag(self.c, IS_PUNCT)
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def __set__(self, bint x): Lexeme.c_set_flag(self.c, IS_PUNCT, x)
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property is_space:
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def __get__(self): return Lexeme.c_check_flag(self.c, IS_SPACE)
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def __set__(self, bint x): Lexeme.c_set_flag(self.c, IS_SPACE, x)
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property like_url:
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def __get__(self): return Lexeme.c_check_flag(self.c, LIKE_URL)
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def __set__(self, bint x): Lexeme.c_set_flag(self.c, LIKE_URL, x)
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property like_num:
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def __get__(self): return Lexeme.c_check_flag(self.c, LIKE_NUM)
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def __set__(self, bint x): Lexeme.c_set_flag(self.c, LIKE_NUM, x)
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property like_email:
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def __get__(self): return Lexeme.c_check_flag(self.c, LIKE_EMAIL)
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def __set__(self, bint x): Lexeme.c_set_flag(self.c, LIKE_EMAIL, x)
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