mirror of https://github.com/explosion/spaCy.git
* Work on get_array method of Tokens
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@ -1,3 +1,6 @@
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import numpy as np
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cimport numpy as np
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from cymem.cymem cimport Pool
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from cymem.cymem cimport Pool
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from .lexeme cimport Lexeme
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from .lexeme cimport Lexeme
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@ -28,6 +31,8 @@ cdef class Tokens:
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cdef int push_back(self, int i, Lexeme* lexeme) except -1
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cdef int push_back(self, int i, Lexeme* lexeme) except -1
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cpdef int set_tag(self, int i, TagType tag_type, int tag) except -1
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cpdef int set_tag(self, int i, TagType tag_type, int tag) except -1
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cpdef np.ndarray[atom_t, ndim=2] get_array(self, list features)
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cdef class Token:
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cdef class Token:
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cdef StringStore _string_store
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cdef StringStore _string_store
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@ -102,6 +102,16 @@ cdef class Tokens:
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elif tag_type == ENTITY:
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elif tag_type == ENTITY:
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self.ner[i] = tag
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self.ner[i] = tag
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cpdef np.ndarray[atom_t, ndim=2] get_array(self, list features):
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cdef int i, j
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cdef np.ndarray[atom_t, ndim=2] output
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output = np.ndarray(shape=(self.length, len(features)), dtype=int)
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for i in range(self.length):
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for j, feature in enumerate(features):
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output[i, j] = self.lex[i].sic
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#output[i, j] = lexeme_get_feature(self.lex[i], feature)
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return output
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def _realloc(self, new_size):
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def _realloc(self, new_size):
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self.max_length = new_size
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self.max_length = new_size
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n = new_size + (PADDING * 2)
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n = new_size + (PADDING * 2)
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