mirror of
https://github.com/explosion/spaCy.git
synced 2024-11-10 19:57:17 +03:00
* Refactor for string view features. Working on setting up flags and enums.
This commit is contained in:
parent
9fd085bf90
commit
057c21969b
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@ -1,8 +1,8 @@
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from libcpp.vector cimport vector
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from spacy.spacy cimport StringHash
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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 Lexeme
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from spacy.spacy 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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@ -9,7 +9,6 @@ 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
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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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@ -2,8 +2,8 @@ from libcpp.vector cimport vector
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from spacy.spacy cimport StringHash
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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.spacy cimport Lexeme
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from spacy.spacy cimport Lexeme_addr
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from spacy.tokens cimport Tokens
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@ -4,11 +4,11 @@ boldly assume no collisions.
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'''
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from __future__ import unicode_literals
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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
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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
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from . import util
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@ -4,29 +4,48 @@ from libc.stdint cimport uint64_t
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ctypedef int ClusterID
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ctypedef uint64_t StringHash
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ctypedef size_t Lexeme_addr
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ctypedef char Bits8
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ctypedef uint64_t Bits64
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from spacy.spacy cimport Language
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cdef struct Orthography:
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StringHash last3
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StringHash shape
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StringHash norm
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Py_UNICODE first
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Bits8 flags
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cdef struct Distribution:
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double prob
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ClusterID cluster
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Bits64 tagdict
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Bits8 flags
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cdef struct Lexeme:
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StringHash sic # Hash of the original string
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StringHash lex # Hash of the word, with punctuation and clitics split off
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StringHash normed # Hash of the normalized version of lex
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StringHash last3 # Last 3 characters of the token
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Py_UNICODE first # First character of the token
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double prob # What is the log probability of the lex value?
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ClusterID cluster # Brown cluster of the token
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bint oft_upper # Is the lowered version of the lex value often in all caps?
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bint oft_title # Is the lowered version of the lex value often title-cased?
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Distribution* dist # Distribution info, lazy loaded
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Orthography* orth # Extra orthographic views
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Lexeme* tail # Lexemes are linked lists, to deal with sub-tokens
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cdef Lexeme BLANK_WORD = Lexeme(0, 0, 0, 0, 0, 0.0, 0, False, False, NULL)
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cdef Lexeme BLANK_WORD = Lexeme(0, 0, NULL, NULL, NULL)
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cdef Lexeme* init_lexeme(Language lang, unicode string, StringHash hashed,
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int split, size_t length)
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cpdef StringHash lex_of(size_t lex_id) except 0
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cpdef StringHash norm_of(size_t lex_id) except 0
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#cdef Lexeme* init_lexeme(Language lang, unicode string, StringHash hashed,
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# int split, size_t length)
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# Use these to access the Lexeme fields via get_attr(Lexeme*, LexAttr), which
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# has a conditional to pick out the correct item. This allows safe iteration
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# over the Lexeme, via:
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@ -11,49 +11,7 @@ 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
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cdef Lexeme* init_lexeme(Language lang, unicode string, StringHash hashed,
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int split, size_t length):
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assert split <= length
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cdef Lexeme* word = <Lexeme*>calloc(1, sizeof(Lexeme))
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word.first = <Py_UNICODE>(string[0] if string else 0)
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word.sic = hashed
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cdef unicode tail_string
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cdef unicode lex
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if split != 0 and split < length:
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lex = substr(string, 0, split, length)
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tail_string = substr(string, split, length, length)
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else:
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lex = string
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tail_string = ''
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assert lex
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#cdef unicode normed = normalize_word_string(lex)
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cdef unicode normed = '?'
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cdef unicode last3 = substr(string, length - 3, length, length)
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assert normed
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assert len(normed)
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word.lex = lang.hash_string(lex, len(lex))
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word.normed = lang.hash_string(normed, len(normed))
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word.last3 = lang.hash_string(last3, len(last3))
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lang.bacov[word.lex] = lex
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lang.bacov[word.normed] = normed
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lang.bacov[word.last3] = last3
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# These are loaded later
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word.prob = 0
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word.cluster = 0
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word.oft_upper = False
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word.oft_title = False
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# Now recurse, and deal with the tail
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if tail_string:
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word.tail = <Lexeme*>lang.lookup(-1, tail_string, len(tail_string))
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return word
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from spacy.spacy cimport StringHash
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cpdef StringHash sic_of(size_t lex_id) except 0:
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@ -82,6 +40,20 @@ cpdef StringHash lex_of(size_t lex_id) except 0:
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return (<Lexeme*>lex_id).lex
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cpdef StringHash norm_of(size_t lex_id) except 0:
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'''Access the `lex' field of the Lexeme pointed to by lex_id.
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The lex field is the hash of the string you would expect to get back from
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a standard tokenizer, i.e. the word with punctuation and other non-whitespace
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delimited tokens split off. The other fields refer to properties of the
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string that the lex field stores a hash of, except sic and tail.
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>>> [unhash(lex_of(lex_id) for lex_id in from_string(u'Hi! world')]
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[u'Hi', u'!', u'world']
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'''
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return (<Lexeme*>lex_id).orth.norm
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cpdef ClusterID cluster_of(size_t lex_id):
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'''Access the `cluster' field of the Lexeme pointed to by lex_id, which
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gives an integer representation of the cluster ID of the word,
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while "dapple" is totally different. On the other hand, "scalable" receives
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the same cluster ID as "pineapple", which is not what we'd like.
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'''
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return (<Lexeme*>lex_id).cluster
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return (<Lexeme*>lex_id).dist.cluster
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cpdef Py_UNICODE first_of(size_t lex_id):
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>>> unhash(first_of(lex_id))
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u'H'
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'''
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return (<Lexeme*>lex_id).first
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return (<Lexeme*>lex_id).orth.first
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cpdef double prob_of(size_t lex_id):
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@ -133,7 +105,8 @@ cpdef StringHash last3_of(size_t lex_id):
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>>> [unhash(last3_of(lex_id)) for lex_id in lex_ids]
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[u'llo', u'!']
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'''
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return (<Lexeme*>lex_id).last3
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cdef Lexeme* w = <Lexeme*>lex_id
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return w.orth.last3 if w.orth != NULL else 0
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cpdef bint is_oft_upper(size_t lex_id):
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>>> is_oft_upper(lookup(u'aBc')) # This must get the same answer
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True
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'''
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return (<Lexeme*>lex_id).oft_upper
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return False
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#cdef Lexeme* w = <Lexeme*>lex_id
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#return w.orth.last3 if w.orth != NULL else 0
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#return (<Lexeme*>lex_id).oft_upper
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cpdef bint is_oft_title(size_t lex_id):
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>>> is_oft_title(lookup(u'MARCUS')) # This must get the same value
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True
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'''
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return (<Lexeme*>lex_id).oft_title
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return False
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#return (<Lexeme*>lex_id).oft_title
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@ -7,16 +7,27 @@ from ext.sparsehash cimport dense_hash_map
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# Circular import problems here
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ctypedef size_t Lexeme_addr
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ctypedef uint64_t StringHash
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ctypedef dense_hash_map[StringHash, Lexeme_addr] Vocab
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ctypedef int (*Splitter)(unicode word, size_t length)
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ctypedef dense_hash_map[StringHash, size_t] Vocab
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from spacy.lexeme cimport Lexeme
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from spacy.tokens cimport Tokens
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# Put these above import to avoid circular import problem
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ctypedef char Bits8
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ctypedef uint64_t Bits64
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ctypedef int ClusterID
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from spacy.lexeme cimport Lexeme
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from spacy.tokens cimport Tokens
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from spacy.lexeme cimport Distribution
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from spacy.lexeme cimport Orthography
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cdef class Language:
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cdef object name
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cdef Vocab* vocab
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cdef Vocab* distri
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cdef Vocab* ortho
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cdef dict bacov
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cdef int find_split(self, unicode word, size_t length)
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cpdef Tokens tokenize(self, unicode text)
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cdef Lexeme* _add(self, StringHash hashed, unicode string, int split, size_t length)
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cdef Lexeme* init_lexeme(self, unicode string, StringHash hashed,
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int split, size_t length)
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cdef Orthography* init_orth(self, StringHash hashed, unicode lex)
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@ -6,22 +6,43 @@ from libc.stdlib cimport calloc, free
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from ext.murmurhash cimport MurmurHash64A
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from ext.murmurhash cimport MurmurHash64B
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from spacy.lexeme cimport init_lexeme
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from spacy.lexeme cimport Lexeme
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from spacy.lexeme cimport BLANK_WORD
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from spacy.string_tools cimport is_whitespace
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from spacy.string_tools cimport substr
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from . import util
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from os import path
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cimport cython
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def get_normalized(unicode lex, size_t length):
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return lex.lower()
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#if lex.isdigit():
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# return '!YEAR' if length == 4 else '!DIGIT'
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#else:
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# return lex.lower()
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def get_word_shape(lex, length):
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return lex
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def set_orth_flags(lex, length):
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return 0
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cdef class Language:
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def __cinit__(self, name):
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self.name = name
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self.bacov = {}
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self.vocab = new Vocab()
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self.ortho = new Vocab()
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self.distri = new Vocab()
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self.vocab[0].set_empty_key(0)
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self.distri[0].set_empty_key(0)
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self.ortho[0].set_empty_key(0)
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self.load_tokenization(util.read_tokenization(name))
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def load_tokenization(self, token_rules=None):
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return <Lexeme_addr>word_ptr
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cdef Lexeme* _add(self, StringHash hashed, unicode string, int split, size_t length):
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word = init_lexeme(self, string, hashed, split, length)
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word = self.init_lexeme(string, hashed, split, length)
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self.vocab[0][hashed] = <Lexeme_addr>word
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self.bacov[hashed] = string
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return word
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cdef int find_split(self, unicode word, size_t length):
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return -1
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cdef Lexeme* init_lexeme(self, unicode string, StringHash hashed,
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int split, size_t length):
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cdef Lexeme* word = <Lexeme*>calloc(1, sizeof(Lexeme))
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word.sic = hashed
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cdef unicode tail_string
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cdef unicode lex
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if split != 0 and split < length:
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lex = substr(string, 0, split, length)
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tail_string = substr(string, split, length, length)
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else:
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lex = string
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tail_string = ''
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word.lex = self.hash_string(lex, len(lex))
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self.bacov[word.lex] = lex
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word.orth = <Orthography*>self.ortho[0][word.lex]
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if word.orth == NULL:
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word.orth = self.init_orth(word.lex, lex)
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word.dist = <Distribution*>self.distri[0][word.lex]
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# Now recurse, and deal with the tail
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if tail_string:
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word.tail = <Lexeme*>self.lookup(-1, tail_string, len(tail_string))
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return word
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cdef Orthography* init_orth(self, StringHash hashed, unicode lex):
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cdef Orthography* orth = <Orthography*>calloc(1, sizeof(Orthography))
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orth.first = <Py_UNICODE>lex[0]
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cdef int length = len(lex)
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orth.flags = set_orth_flags(lex, length)
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cdef unicode last3 = substr(lex, length - 3, length, length)
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cdef unicode norm = get_normalized(lex, length)
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cdef unicode shape = get_word_shape(lex, length)
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orth.last3 = self.hash_string(last3, len(last3))
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orth.shape = self.hash_string(shape, len(shape))
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orth.norm = self.hash_string(norm, len(norm))
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self.bacov[orth.last3] = last3
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self.bacov[orth.shape] = shape
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self.bacov[orth.norm] = norm
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self.ortho[0][hashed] = <size_t>orth
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return orth
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cdef inline bint _is_whitespace(Py_UNICODE c) nogil:
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cpdef vector[size_t] expand_chunk(size_t addr) except *:
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cdef vector[size_t] tokens = vector[size_t]()
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word = <Lexeme*>addr
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while word is not NULL:
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while word != NULL:
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tokens.push_back(<size_t>word)
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word = word.tail
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return tokens
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# cython: profile=True
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cpdef unicode substr(unicode string, int start, int end, size_t length):
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if end >= length:
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end = -1
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from libcpp.vector cimport vector
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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 Lexeme_addr
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from cython.operator cimport dereference as deref
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from spacy.spacy cimport Language
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@ -2,6 +2,11 @@ from cython.operator cimport dereference as deref
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from cython.operator cimport preincrement as inc
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from spacy.lexeme cimport Lexeme
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from spacy.lexeme cimport norm_of
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from spacy.spacy cimport StringHash
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cdef class Tokens:
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def __cinit__(self, Language lang):
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self.lang = lang
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cpdef dict count_by(self, Field attr):
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counts = {}
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cdef Lexeme_addr t
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cdef Lexeme* word
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cdef StringHash key
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for t in self.vctr[0]:
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word = <Lexeme*>t
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if word.lex not in counts:
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counts[word.lex] = 0
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counts[word.lex] += 1
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key = norm_of(t)
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if key not in counts:
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counts[key] = 0
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counts[key] += 1
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return counts
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