mirror of
https://github.com/explosion/spaCy.git
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Merge branch 'feature/group_by' into develop
This commit is contained in:
commit
9fd085bf90
3
setup.py
3
setup.py
|
@ -54,6 +54,9 @@ exts = [
|
|||
Extension("spacy.spacy",
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["spacy/spacy.pyx", "ext/MurmurHash3.cpp", "ext/MurmurHash2.cpp"],
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language="c++", include_dirs=includes),
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Extension("spacy.tokens",
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["spacy/tokens.pyx", "ext/MurmurHash3.cpp", "ext/MurmurHash2.cpp"],
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language="c++", include_dirs=includes),
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Extension("spacy.string_tools",
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["spacy/string_tools.pyx", "ext/MurmurHash3.cpp", "ext/MurmurHash2.cpp"],
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language="c++", include_dirs=includes),
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|
|
11
spacy/en.pxd
11
spacy/en.pxd
|
@ -1,15 +1,18 @@
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from libcpp.vector cimport vector
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from spacy.spacy cimport StringHash
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from spacy.spacy cimport Vocab
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from spacy.lexeme cimport Lexeme
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from spacy.lexeme cimport Lexeme_addr
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from spacy.spacy cimport Language
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from spacy.tokens cimport Tokens
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cdef Vocab* VOCAB
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cdef dict BACOV
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cdef class English(spacy.Language):
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cdef int find_split(self, unicode word, size_t length)
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cdef English EN
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cpdef Lexeme_addr lookup(unicode word) except 0
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cpdef vector[Lexeme_addr] tokenize(unicode string) except *
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cpdef Tokens tokenize(unicode string)
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cpdef unicode unhash(StringHash hash_value)
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|
|
73
spacy/en.pyx
73
spacy/en.pyx
|
@ -11,54 +11,27 @@ from libcpp.vector cimport vector
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from spacy.lexeme cimport Lexeme
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from spacy.string_tools cimport substr
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from . import util
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cimport spacy
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BACOV = {}
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VOCAB = new Vocab(100000)
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VOCAB.set_empty_key(0)
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spacy.load_tokenization(VOCAB, BACOV, util.read_tokenization('en'))
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cpdef vector[Lexeme_addr] tokenize(unicode string) except *:
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return spacy.tokenize(VOCAB, BACOV, find_split, string)
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cpdef Lexeme_addr lookup(unicode string) except 0:
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return spacy.lookup(VOCAB, BACOV, find_split, -1, string, len(string))
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cpdef unicode unhash(StringHash hash_value):
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return spacy.unhash(BACOV, hash_value)
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cdef vector[StringHash] make_string_views(unicode word):
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cdef unicode s
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return vector[StringHash]()
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#if word.isdigit() and len(word) == 4:
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# return '!YEAR'
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#elif word[0].isdigit():
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# return '!DIGITS'
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#else:
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# return word.lower()
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cdef int find_split(unicode word, size_t length):
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cdef int i = 0
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# Contractions
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if word.endswith("'s"):
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return length - 2
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# Leading punctuation
|
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if is_punct(word, 0, length):
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return 1
|
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elif length >= 1:
|
||||
# Split off all trailing punctuation characters
|
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i = 0
|
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while i < length and not is_punct(word, i, length):
|
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i += 1
|
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return i
|
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cdef class English(spacy.Language):
|
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cdef int find_split(self, unicode word, size_t length):
|
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cdef int i = 0
|
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# Contractions
|
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if word.endswith("'s"):
|
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return length - 2
|
||||
# Leading punctuation
|
||||
if is_punct(word, 0, length):
|
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return 1
|
||||
elif length >= 1:
|
||||
# Split off all trailing punctuation characters
|
||||
i = 0
|
||||
while i < length and not is_punct(word, i, length):
|
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i += 1
|
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return i
|
||||
|
||||
|
||||
cdef bint is_punct(unicode word, size_t i, size_t length):
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|
@ -74,4 +47,16 @@ cdef bint is_punct(unicode word, size_t i, size_t length):
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return not word[i].isalnum()
|
||||
|
||||
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#spacy.load_browns(VOCAB, BACOV, find_split)
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EN = English('en')
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|
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cpdef Tokens tokenize(unicode string):
|
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return EN.tokenize(string)
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|
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cpdef Lexeme_addr lookup(unicode string) except 0:
|
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return EN.lookup(-1, string, len(string))
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|
||||
|
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cpdef unicode unhash(StringHash hash_value):
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return EN.unhash(hash_value)
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|
|
|
@ -1,15 +1,18 @@
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|||
from libcpp.vector cimport vector
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|
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from spacy.spacy cimport StringHash
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from spacy.spacy cimport Vocab
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from spacy.spacy cimport Language
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from spacy.lexeme cimport Lexeme
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from spacy.lexeme cimport Lexeme_addr
|
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from spacy.tokens cimport Tokens
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|
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|
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cdef Vocab* VOCAB
|
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cdef dict BACOV
|
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cdef class EnglishPTB(Language):
|
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cdef int find_split(self, unicode word, size_t length)
|
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|
||||
|
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cdef EnglishPTB EN_PTB
|
||||
|
||||
cpdef Lexeme_addr lookup(unicode word) except 0
|
||||
cpdef vector[Lexeme_addr] tokenize(unicode string) except *
|
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cpdef Tokens tokenize(unicode string)
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||||
cpdef unicode unhash(StringHash hash_value)
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|
|
|
@ -10,55 +10,27 @@ from libcpp.vector cimport vector
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|
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from spacy.lexeme cimport Lexeme
|
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from spacy.string_tools cimport substr
|
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from spacy.spacy cimport Language
|
||||
from . import util
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|
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cimport spacy
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BACOV = {}
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VOCAB = new Vocab(100000)
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VOCAB.set_empty_key(0)
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spacy.load_tokenization(VOCAB, BACOV, util.read_tokenization('en_ptb'))
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cpdef vector[Lexeme_addr] tokenize(unicode string) except *:
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return spacy.tokenize(VOCAB, BACOV, find_split, string)
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|
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cpdef Lexeme_addr lookup(unicode string) except 0:
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return spacy.lookup(VOCAB, BACOV, find_split, -1, string, len(string))
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|
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|
||||
cpdef unicode unhash(StringHash hash_value):
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return spacy.unhash(BACOV, hash_value)
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|
||||
|
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cdef vector[StringHash] make_string_views(unicode word):
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cdef unicode s
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return vector[StringHash]()
|
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#if word.isdigit() and len(word) == 4:
|
||||
# return '!YEAR'
|
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#elif word[0].isdigit():
|
||||
# return '!DIGITS'
|
||||
#else:
|
||||
# return word.lower()
|
||||
|
||||
|
||||
cdef int find_split(unicode word, size_t length):
|
||||
cdef int i = 0
|
||||
# Contractions
|
||||
if word.endswith("'s"):
|
||||
return length - 2
|
||||
# Leading punctuation
|
||||
if is_punct(word, 0, length):
|
||||
return 1
|
||||
elif length >= 1:
|
||||
# Split off all trailing punctuation characters
|
||||
i = 0
|
||||
while i < length and not is_punct(word, i, length):
|
||||
i += 1
|
||||
return i
|
||||
cdef class EnglishPTB(Language):
|
||||
cdef int find_split(self, unicode word, size_t length):
|
||||
cdef int i = 0
|
||||
# Contractions
|
||||
if word.endswith("'s"):
|
||||
return length - 2
|
||||
# Leading punctuation
|
||||
if is_punct(word, 0, length):
|
||||
return 1
|
||||
elif length >= 1:
|
||||
# Split off all trailing punctuation characters
|
||||
i = 0
|
||||
while i < length and not is_punct(word, i, length):
|
||||
i += 1
|
||||
return i
|
||||
|
||||
|
||||
cdef bint is_punct(unicode word, size_t i, size_t length):
|
||||
|
@ -72,3 +44,17 @@ cdef bint is_punct(unicode word, size_t i, size_t length):
|
|||
return False
|
||||
punct_chars = set(',;:' + '@#$%&' + '!?' + '[({' + '})]')
|
||||
return word[i] in punct_chars
|
||||
|
||||
|
||||
cdef EnglishPTB EN_PTB = EnglishPTB('en_ptb')
|
||||
|
||||
cpdef Tokens tokenize(unicode string):
|
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return EN_PTB.tokenize(string)
|
||||
|
||||
|
||||
cpdef Lexeme_addr lookup(unicode string) except 0:
|
||||
return EN_PTB.lookup(-1, string, len(string))
|
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|
||||
|
||||
cpdef unicode unhash(StringHash hash_value):
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return EN_PTB.unhash(hash_value)
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||||
|
|
|
@ -5,8 +5,7 @@ ctypedef int ClusterID
|
|||
ctypedef uint64_t StringHash
|
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ctypedef size_t Lexeme_addr
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||||
|
||||
from spacy.spacy cimport Vocab
|
||||
from spacy.spacy cimport Splitter
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||||
from spacy.spacy cimport Language
|
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|
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cdef struct Lexeme:
|
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StringHash sic # Hash of the original string
|
||||
|
@ -25,8 +24,7 @@ cdef struct Lexeme:
|
|||
|
||||
cdef Lexeme BLANK_WORD = Lexeme(0, 0, 0, 0, 0, 0.0, 0, False, False, NULL)
|
||||
|
||||
cdef Lexeme* init_lexeme(Vocab* vocab, dict bacov, Splitter find_split,
|
||||
unicode string, StringHash hashed,
|
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cdef Lexeme* init_lexeme(Language lang, unicode string, StringHash hashed,
|
||||
int split, size_t length)
|
||||
|
||||
# Use these to access the Lexeme fields via get_attr(Lexeme*, LexAttr), which
|
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|
|
|
@ -6,16 +6,13 @@ Lexeme* yourself.
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from __future__ import unicode_literals
|
||||
|
||||
from spacy.string_tools cimport substr
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from spacy.spacy cimport hash_string
|
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from spacy.spacy cimport lookup
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|
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from libc.stdlib cimport malloc, calloc, free
|
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from libc.stdint cimport uint64_t
|
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from libcpp.vector cimport vector
|
||||
|
||||
|
||||
cdef Lexeme* init_lexeme(Vocab* vocab, dict bacov, Splitter find_split,
|
||||
unicode string, StringHash hashed,
|
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cdef Lexeme* init_lexeme(Language lang, unicode string, StringHash hashed,
|
||||
int split, size_t length):
|
||||
assert split <= length
|
||||
cdef Lexeme* word = <Lexeme*>calloc(1, sizeof(Lexeme))
|
||||
|
@ -39,13 +36,13 @@ cdef Lexeme* init_lexeme(Vocab* vocab, dict bacov, Splitter find_split,
|
|||
assert normed
|
||||
assert len(normed)
|
||||
|
||||
word.lex = hash_string(lex, len(lex))
|
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word.normed = hash_string(normed, len(normed))
|
||||
word.last3 = hash_string(last3, len(last3))
|
||||
word.lex = lang.hash_string(lex, len(lex))
|
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word.normed = lang.hash_string(normed, len(normed))
|
||||
word.last3 = lang.hash_string(last3, len(last3))
|
||||
|
||||
bacov[word.lex] = lex
|
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bacov[word.normed] = normed
|
||||
bacov[word.last3] = last3
|
||||
lang.bacov[word.lex] = lex
|
||||
lang.bacov[word.normed] = normed
|
||||
lang.bacov[word.last3] = last3
|
||||
|
||||
# These are loaded later
|
||||
word.prob = 0
|
||||
|
@ -55,8 +52,7 @@ cdef Lexeme* init_lexeme(Vocab* vocab, dict bacov, Splitter find_split,
|
|||
|
||||
# Now recurse, and deal with the tail
|
||||
if tail_string:
|
||||
word.tail = <Lexeme*>lookup(vocab, bacov, find_split, -1, tail_string,
|
||||
len(tail_string))
|
||||
word.tail = <Lexeme*>lang.lookup(-1, tail_string, len(tail_string))
|
||||
return word
|
||||
|
||||
|
||||
|
|
|
@ -3,6 +3,7 @@ from libc.stdint cimport uint64_t
|
|||
|
||||
from ext.sparsehash cimport dense_hash_map
|
||||
|
||||
|
||||
# Circular import problems here
|
||||
ctypedef size_t Lexeme_addr
|
||||
ctypedef uint64_t StringHash
|
||||
|
@ -11,15 +12,17 @@ ctypedef int (*Splitter)(unicode word, size_t length)
|
|||
|
||||
|
||||
from spacy.lexeme cimport Lexeme
|
||||
from spacy.tokens cimport Tokens
|
||||
|
||||
cdef load_tokenization(Vocab* vocab, dict bacov, token_rules)
|
||||
cdef load_browns(Vocab* vocab, dict bacov, Splitter find_split)
|
||||
cdef vector[Lexeme_addr] tokenize(Vocab* vocab, dict bacov, Splitter splitter,
|
||||
unicode string) except *
|
||||
cdef Lexeme_addr lookup(Vocab* vocab, dict bacov, Splitter splitter, int start,
|
||||
Py_UNICODE* string, size_t length) except 0
|
||||
cdef StringHash hash_string(Py_UNICODE* s, size_t length) nogil
|
||||
cdef unicode unhash(dict bacov, StringHash hash_value)
|
||||
|
||||
|
||||
cpdef vector[size_t] expand_chunk(size_t addr) except *
|
||||
cdef class Language:
|
||||
cdef object name
|
||||
cdef Vocab* vocab
|
||||
cdef dict bacov
|
||||
cdef int find_split(self, unicode word, size_t length)
|
||||
|
||||
cdef Lexeme_addr lookup(self, int split, Py_UNICODE* string, size_t length) except 0
|
||||
cdef StringHash hash_string(self, Py_UNICODE* string, size_t length) except 0
|
||||
cdef unicode unhash(self, StringHash hashed)
|
||||
|
||||
cpdef Tokens tokenize(self, unicode text)
|
||||
cdef Lexeme* _add(self, StringHash hashed, unicode string, int split, size_t length)
|
||||
|
|
208
spacy/spacy.pyx
208
spacy/spacy.pyx
|
@ -16,76 +16,112 @@ from os import path
|
|||
cimport cython
|
||||
|
||||
|
||||
cdef load_tokenization(Vocab* vocab, dict bacov, token_rules):
|
||||
cdef Lexeme* word
|
||||
cdef StringHash hashed
|
||||
for chunk, lex, tokens in token_rules:
|
||||
hashed = hash_string(chunk, len(chunk))
|
||||
assert vocab[0][hashed] == 0, chunk
|
||||
word = _add(vocab, bacov, <Splitter>NULL, hashed, lex, len(lex), len(lex))
|
||||
for i, lex in enumerate(tokens):
|
||||
token_string = '%s:@:%d:@:%s' % (chunk, i, lex)
|
||||
length = len(token_string)
|
||||
hashed = hash_string(token_string, length)
|
||||
word.tail = _add(vocab, bacov, <Splitter>NULL, hashed, lex, 0, len(lex))
|
||||
word = word.tail
|
||||
cdef class Language:
|
||||
def __cinit__(self, name):
|
||||
self.name = name
|
||||
self.bacov = {}
|
||||
self.vocab = new Vocab()
|
||||
self.vocab[0].set_empty_key(0)
|
||||
self.load_tokenization(util.read_tokenization(name))
|
||||
|
||||
def load_tokenization(self, token_rules=None):
|
||||
cdef Lexeme* word
|
||||
cdef StringHash hashed
|
||||
for chunk, lex, tokens in token_rules:
|
||||
hashed = self.hash_string(chunk, len(chunk))
|
||||
word = self._add(hashed, lex, len(lex), len(lex))
|
||||
for i, lex in enumerate(tokens):
|
||||
token_string = '%s:@:%d:@:%s' % (chunk, i, lex)
|
||||
length = len(token_string)
|
||||
hashed = self.hash_string(token_string, length)
|
||||
word.tail = self._add(hashed, lex, 0, len(lex))
|
||||
word = word.tail
|
||||
|
||||
def load_clusters(self):
|
||||
cdef Lexeme* w
|
||||
data_dir = path.join(path.dirname(__file__), '..', 'data', 'en')
|
||||
case_stats = util.load_case_stats(data_dir)
|
||||
brown_loc = path.join(data_dir, 'clusters')
|
||||
cdef size_t start
|
||||
cdef int end
|
||||
with util.utf8open(brown_loc) as browns_file:
|
||||
for i, line in enumerate(browns_file):
|
||||
cluster_str, token_string, freq_str = line.split()
|
||||
# Decode as a little-endian string, so that we can do & 15 to get
|
||||
# the first 4 bits. See redshift._parse_features.pyx
|
||||
cluster = int(cluster_str[::-1], 2)
|
||||
upper_pc, title_pc = case_stats.get(token_string.lower(), (0.0, 0.0))
|
||||
hashed = self.hash_string(token_string, len(token_string))
|
||||
word = self._add(hashed, token_string,
|
||||
len(token_string), len(token_string))
|
||||
|
||||
cdef StringHash hash_string(self, Py_UNICODE* s, size_t length) except 0:
|
||||
'''Hash unicode with MurmurHash64A'''
|
||||
return MurmurHash64A(<Py_UNICODE*>s, length * sizeof(Py_UNICODE), 0)
|
||||
|
||||
cdef unicode unhash(self, StringHash hash_value):
|
||||
'''Fetch a string from the reverse index, given its hash value.'''
|
||||
return self.bacov[hash_value]
|
||||
|
||||
cdef Lexeme_addr lookup(self, int start, Py_UNICODE* string, size_t length) except 0:
|
||||
'''Fetch a Lexeme representing a word string. If the word has not been seen,
|
||||
construct one, splitting off any attached punctuation or clitics. A
|
||||
reference to BLANK_WORD is returned for the empty string.
|
||||
|
||||
To specify the boundaries of the word if it has not been seen, use lookup_chunk.
|
||||
'''
|
||||
if length == 0:
|
||||
return <Lexeme_addr>&BLANK_WORD
|
||||
cdef StringHash hashed = self.hash_string(string, length)
|
||||
cdef Lexeme* word_ptr = <Lexeme*>self.vocab[0][hashed]
|
||||
if word_ptr == NULL:
|
||||
start = self.find_split(string, length) if start == -1 else start
|
||||
word_ptr = self._add(hashed, string, start, length)
|
||||
return <Lexeme_addr>word_ptr
|
||||
|
||||
cdef Lexeme* _add(self, StringHash hashed, unicode string, int split, size_t length):
|
||||
word = init_lexeme(self, string, hashed, split, length)
|
||||
self.vocab[0][hashed] = <Lexeme_addr>word
|
||||
self.bacov[hashed] = string
|
||||
return word
|
||||
|
||||
cpdef Tokens tokenize(self, unicode string):
|
||||
cdef size_t length = len(string)
|
||||
cdef Py_UNICODE* characters = <Py_UNICODE*>string
|
||||
|
||||
cdef size_t i
|
||||
cdef Py_UNICODE c
|
||||
|
||||
cdef Tokens tokens = Tokens(self)
|
||||
cdef Py_UNICODE* current = <Py_UNICODE*>calloc(len(string), sizeof(Py_UNICODE))
|
||||
cdef size_t word_len = 0
|
||||
cdef Lexeme* token
|
||||
for i in range(length):
|
||||
c = characters[i]
|
||||
if _is_whitespace(c):
|
||||
if word_len != 0:
|
||||
token = <Lexeme*>self.lookup(-1, current, word_len)
|
||||
while token != NULL:
|
||||
tokens.append(<Lexeme_addr>token)
|
||||
token = token.tail
|
||||
for j in range(word_len+1):
|
||||
current[j] = 0
|
||||
word_len = 0
|
||||
else:
|
||||
current[word_len] = c
|
||||
word_len += 1
|
||||
if word_len != 0:
|
||||
token = <Lexeme*>self.lookup(-1, current, word_len)
|
||||
while token != NULL:
|
||||
tokens.append(<Lexeme_addr>token)
|
||||
token = token.tail
|
||||
free(current)
|
||||
return tokens
|
||||
|
||||
cdef int find_split(self, unicode word, size_t length):
|
||||
return -1
|
||||
|
||||
|
||||
cdef load_browns(Vocab* vocab, dict bacov, Splitter find_split):
|
||||
cdef Lexeme* w
|
||||
data_dir = path.join(path.dirname(__file__), '..', 'data', 'en')
|
||||
case_stats = util.load_case_stats(data_dir)
|
||||
brown_loc = path.join(data_dir, 'clusters')
|
||||
cdef size_t start
|
||||
cdef int end
|
||||
with util.utf8open(brown_loc) as browns_file:
|
||||
for i, line in enumerate(browns_file):
|
||||
cluster_str, token_string, freq_str = line.split()
|
||||
# Decode as a little-endian string, so that we can do & 15 to get
|
||||
# the first 4 bits. See redshift._parse_features.pyx
|
||||
cluster = int(cluster_str[::-1], 2)
|
||||
upper_pc, title_pc = case_stats.get(token_string.lower(), (0.0, 0.0))
|
||||
start = 0
|
||||
end = -1
|
||||
hashed = hash_string(token_string, len(token_string))
|
||||
|
||||
word = _add(vocab, bacov, find_split, hashed, token_string,
|
||||
len(token_string), len(token_string))
|
||||
|
||||
|
||||
cdef vector[Lexeme_addr] tokenize(Vocab* vocab, dict bacov, Splitter splitter,
|
||||
unicode string) except *:
|
||||
cdef size_t length = len(string)
|
||||
cdef Py_UNICODE* characters = <Py_UNICODE*>string
|
||||
|
||||
cdef size_t i
|
||||
cdef Py_UNICODE c
|
||||
|
||||
cdef vector[Lexeme_addr] tokens = vector[Lexeme_addr]()
|
||||
cdef Py_UNICODE* current = <Py_UNICODE*>calloc(len(string), sizeof(Py_UNICODE))
|
||||
cdef size_t word_len = 0
|
||||
cdef Lexeme* token
|
||||
for i in range(length):
|
||||
c = characters[i]
|
||||
if _is_whitespace(c):
|
||||
if word_len != 0:
|
||||
token = <Lexeme*>lookup(vocab, bacov, splitter, -1, current, word_len)
|
||||
while token != NULL:
|
||||
tokens.push_back(<Lexeme_addr>token)
|
||||
token = token.tail
|
||||
for j in range(word_len+1):
|
||||
current[j] = 0
|
||||
word_len = 0
|
||||
else:
|
||||
current[word_len] = c
|
||||
word_len += 1
|
||||
if word_len != 0:
|
||||
token = <Lexeme*>lookup(vocab, bacov, splitter, -1, current, word_len)
|
||||
while token != NULL:
|
||||
tokens.push_back(<Lexeme_addr>token)
|
||||
token = token.tail
|
||||
free(current)
|
||||
return tokens
|
||||
|
||||
cdef inline bint _is_whitespace(Py_UNICODE c) nogil:
|
||||
if c == ' ':
|
||||
|
@ -97,23 +133,6 @@ cdef inline bint _is_whitespace(Py_UNICODE c) nogil:
|
|||
else:
|
||||
return False
|
||||
|
||||
cdef Lexeme_addr lookup(Vocab* vocab, dict bacov, Splitter find_split, int start,
|
||||
Py_UNICODE* string, size_t length) except 0:
|
||||
'''Fetch a Lexeme representing a word string. If the word has not been seen,
|
||||
construct one, splitting off any attached punctuation or clitics. A
|
||||
reference to BLANK_WORD is returned for the empty string.
|
||||
|
||||
To specify the boundaries of the word if it has not been seen, use lookup_chunk.
|
||||
'''
|
||||
if length == 0:
|
||||
return <Lexeme_addr>&BLANK_WORD
|
||||
cdef StringHash hashed = hash_string(string, length)
|
||||
cdef Lexeme* word_ptr = <Lexeme*>vocab[0][hashed]
|
||||
if word_ptr == NULL:
|
||||
start = find_split(string, length) if start == -1 else start
|
||||
word_ptr = _add(vocab, bacov, find_split, hashed, string, start, length)
|
||||
return <Lexeme_addr>word_ptr
|
||||
|
||||
|
||||
cpdef vector[size_t] expand_chunk(size_t addr) except *:
|
||||
cdef vector[size_t] tokens = vector[size_t]()
|
||||
|
@ -122,22 +141,3 @@ cpdef vector[size_t] expand_chunk(size_t addr) except *:
|
|||
tokens.push_back(<size_t>word)
|
||||
word = word.tail
|
||||
return tokens
|
||||
|
||||
|
||||
cdef StringHash hash_string(Py_UNICODE* s, size_t length) nogil:
|
||||
'''Hash unicode with MurmurHash64A'''
|
||||
return MurmurHash64A(<Py_UNICODE*>s, length * sizeof(Py_UNICODE), 0)
|
||||
|
||||
|
||||
cdef unicode unhash(dict bacov, StringHash hash_value):
|
||||
'''Fetch a string from the reverse index, given its hash value.'''
|
||||
return bacov[hash_value]
|
||||
|
||||
|
||||
@cython.nonecheck(False)
|
||||
cdef Lexeme* _add(Vocab* vocab, dict bacov, Splitter find_split, StringHash hashed,
|
||||
unicode string, int split, size_t length):
|
||||
word = init_lexeme(vocab, bacov, find_split, string, hashed, split, length)
|
||||
vocab[0][hashed] = <Lexeme_addr>word
|
||||
bacov[hashed] = string
|
||||
return word
|
||||
|
|
21
spacy/tokens.pxd
Normal file
21
spacy/tokens.pxd
Normal file
|
@ -0,0 +1,21 @@
|
|||
from libcpp.vector cimport vector
|
||||
from spacy.lexeme cimport Lexeme
|
||||
from spacy.lexeme cimport Lexeme_addr
|
||||
|
||||
from cython.operator cimport dereference as deref
|
||||
from spacy.spacy cimport Language
|
||||
|
||||
cdef enum Field:
|
||||
lex
|
||||
|
||||
|
||||
cdef class Tokens:
|
||||
cdef Language lang
|
||||
cdef vector[Lexeme_addr]* vctr
|
||||
cdef size_t length
|
||||
|
||||
cpdef int append(self, Lexeme_addr token)
|
||||
cpdef int extend(self, Tokens other) except -1
|
||||
|
||||
cpdef list group_by(self, Field attr)
|
||||
cpdef dict count_by(self, Field attr)
|
48
spacy/tokens.pyx
Normal file
48
spacy/tokens.pyx
Normal file
|
@ -0,0 +1,48 @@
|
|||
from cython.operator cimport dereference as deref
|
||||
from cython.operator cimport preincrement as inc
|
||||
|
||||
|
||||
cdef class Tokens:
|
||||
def __cinit__(self, Language lang):
|
||||
self.lang = lang
|
||||
self.vctr = new vector[Lexeme_addr]()
|
||||
self.length = 0
|
||||
|
||||
def __dealloc__(self):
|
||||
del self.vctr
|
||||
|
||||
def __iter__(self):
|
||||
cdef vector[Lexeme_addr].iterator it = self.vctr[0].begin()
|
||||
while it != self.vctr[0].end():
|
||||
yield deref(it)
|
||||
inc(it)
|
||||
|
||||
def __getitem__(self, size_t idx):
|
||||
return self.vctr[0].at(idx)
|
||||
|
||||
def __len__(self):
|
||||
return self.length
|
||||
|
||||
cpdef int append(self, Lexeme_addr token):
|
||||
self.vctr[0].push_back(token)
|
||||
self.length += 1
|
||||
|
||||
cpdef int extend(self, Tokens other) except -1:
|
||||
cdef Lexeme_addr el
|
||||
for el in other:
|
||||
self.append(el)
|
||||
|
||||
cpdef list group_by(self, Field attr):
|
||||
pass
|
||||
|
||||
cpdef dict count_by(self, Field attr):
|
||||
counts = {}
|
||||
cdef Lexeme_addr t
|
||||
cdef Lexeme* word
|
||||
for t in self.vctr[0]:
|
||||
word = <Lexeme*>t
|
||||
if word.lex not in counts:
|
||||
counts[word.lex] = 0
|
||||
counts[word.lex] += 1
|
||||
return counts
|
||||
|
Loading…
Reference in New Issue
Block a user