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https://github.com/explosion/spaCy.git
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* Extend word vectors support, with .similarity() function, vector_norm property, and rename repvec to vector. Keep repvec name as well for now for backwards compatibility.
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@ -3,6 +3,13 @@ from cpython.ref cimport Py_INCREF
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from cymem.cymem cimport Pool
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from cymem.cymem cimport Pool
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from murmurhash.mrmr cimport hash64
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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 libc.string cimport memset
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from .orth cimport word_shape
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from .orth cimport word_shape
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@ -35,6 +42,26 @@ cdef class Lexeme:
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def py_check_flag(self, attr_id_t flag_id):
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def py_check_flag(self, attr_id_t flag_id):
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return True if Lexeme.check_flag(self.c, flag_id) else False
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return True if Lexeme.check_flag(self.c, flag_id) else False
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def similarity(self, other):
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return numpy.dot(self.vector, other.vector) / (self.vector_norm * other.vector_norm)
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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.repvec_length
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repvec_view = <float[:length,]>self.c.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 orth_:
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property orth_:
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def __get__(self):
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def __get__(self):
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return self.vocab.strings[self.c.orth]
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return self.vocab.strings[self.c.orth]
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@ -3,7 +3,9 @@ from libc.string cimport memcpy, memset
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from libc.stdint cimport uint32_t
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from libc.stdint cimport uint32_t
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import numpy
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import numpy
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import numpy.linalg
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import struct
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import struct
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cimport numpy as np
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from ..lexeme cimport Lexeme
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from ..lexeme cimport Lexeme
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from ..lexeme cimport EMPTY_LEXEME
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from ..lexeme cimport EMPTY_LEXEME
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@ -118,6 +120,22 @@ cdef class Doc:
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def __str__(self):
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def __str__(self):
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return u''.join([t.string for t in self])
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return u''.join([t.string for t in self])
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def similarity(self, other):
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return numpy.dot(self.vector, other.vector) / (self.vector_norm * other.vector_norm)
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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:
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def __get__(self):
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return sum(t.vector for t in self if not t.is_stop) / len(self)
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property vector_norm:
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def __get__(self):
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return numpy.linalg.norm(self.vector)
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@property
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@property
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def string(self):
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def string(self):
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return u''.join([t.string for t in self])
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return u''.join([t.string for t in self])
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@ -1,5 +1,8 @@
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from __future__ import unicode_literals
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from __future__ import unicode_literals
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from collections import defaultdict
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from collections import defaultdict
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import numpy
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import numpy.linalg
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cimport numpy as np
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from ..structs cimport TokenC, LexemeC
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from ..structs cimport TokenC, LexemeC
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from ..typedefs cimport flags_t, attr_t
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from ..typedefs cimport flags_t, attr_t
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@ -52,6 +55,17 @@ cdef class Span:
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def merge(self, unicode tag, unicode lemma, unicode ent_type):
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def merge(self, unicode tag, unicode lemma, unicode ent_type):
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self._seq.merge(self[0].idx, self[-1].idx + len(self[-1]), tag, lemma, ent_type)
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self._seq.merge(self[0].idx, self[-1].idx + len(self[-1]), tag, lemma, ent_type)
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def similarity(self, other):
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return numpy.dot(self.vector, other.vector) / (self.vector_norm * other.vector_norm)
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property vector:
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def __get__(self):
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return sum(t.vector for t in self if not t.is_stop) / len(self)
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property vector_norm:
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def __get__(self):
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return numpy.linalg.norm(self.vector)
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property text:
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property text:
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def __get__(self):
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def __get__(self):
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return u' '.join([t.text for t in self])
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return u' '.join([t.text for t in self])
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@ -49,6 +49,9 @@ cdef class Token:
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def nbor(self, int i=1):
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def nbor(self, int i=1):
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return self.doc[self.i+i]
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return self.doc[self.i+i]
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def similarity(self, other):
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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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property lex_id:
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def __get__(self):
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def __get__(self):
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return self.c.lex.id
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return self.c.lex.id
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@ -125,12 +128,20 @@ cdef class Token:
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def __get__(self):
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def __get__(self):
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return self.c.dep
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return self.c.dep
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property repvec:
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property vector:
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def __get__(self):
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def __get__(self):
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cdef int length = self.vocab.repvec_length
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cdef int length = self.vocab.repvec_length
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repvec_view = <float[:length,]>self.c.lex.repvec
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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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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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property n_lefts:
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def __get__(self):
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def __get__(self):
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cdef int n = 0
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cdef int n = 0
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@ -302,6 +313,9 @@ cdef class Token:
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property is_oov:
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property is_oov:
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def __get__(self): return Lexeme.check_flag(self.c.lex, IS_OOV)
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def __get__(self): return Lexeme.check_flag(self.c.lex, IS_OOV)
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property is_stop:
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def __get__(self): return Lexeme.check_flag(self.c.lex, IS_STOP)
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property is_alpha:
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property is_alpha:
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def __get__(self): return Lexeme.check_flag(self.c.lex, IS_ALPHA)
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def __get__(self): return Lexeme.check_flag(self.c.lex, IS_ALPHA)
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