mirror of
https://github.com/explosion/spaCy.git
synced 2025-11-04 01:48:04 +03:00
438 lines
16 KiB
Cython
438 lines
16 KiB
Cython
from __future__ import unicode_literals
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from libc.stdio cimport fopen, fclose, fread, fwrite, FILE
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from libc.string cimport memset
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from libc.stdint cimport int32_t
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from libc.stdint cimport uint64_t
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import bz2
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from os import path
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import io
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import math
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import json
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import tempfile
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from .lexeme cimport EMPTY_LEXEME
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from .lexeme cimport Lexeme
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from .strings cimport hash_string
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from .orth cimport word_shape
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from .typedefs cimport attr_t
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from .cfile cimport CFile
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from .lemmatizer import Lemmatizer
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from . import attrs
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from . import symbols
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from cymem.cymem cimport Address
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from . import util
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from .serialize.packer cimport Packer
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from .attrs cimport PROB
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try:
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import copy_reg
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except ImportError:
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import copyreg as copy_reg
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DEF MAX_VEC_SIZE = 100000
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cdef float[MAX_VEC_SIZE] EMPTY_VEC
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memset(EMPTY_VEC, 0, sizeof(EMPTY_VEC))
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memset(&EMPTY_LEXEME, 0, sizeof(LexemeC))
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EMPTY_LEXEME.repvec = EMPTY_VEC
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cdef class Vocab:
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'''A map container for a language's LexemeC structs.
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'''
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@classmethod
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def from_dir(cls, data_dir, get_lex_attr=None):
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if not path.exists(data_dir):
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raise IOError("Directory %s not found -- cannot load Vocab." % data_dir)
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if not path.isdir(data_dir):
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raise IOError("Path %s is a file, not a dir -- cannot load Vocab." % data_dir)
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tag_map = json.load(open(path.join(data_dir, 'tag_map.json')))
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lemmatizer = Lemmatizer.from_dir(path.join(data_dir, '..'))
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if path.exists(path.join(data_dir, 'serializer.json')):
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serializer_freqs = json.load(open(path.join(data_dir, 'serializer.json')))
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else:
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serializer_freqs = None
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cdef Vocab self = cls(get_lex_attr=get_lex_attr, tag_map=tag_map,
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lemmatizer=lemmatizer, serializer_freqs=serializer_freqs)
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self.load_lexemes(path.join(data_dir, 'strings.txt'), path.join(data_dir, 'lexemes.bin'))
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if path.exists(path.join(data_dir, 'vec.bin')):
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self.vectors_length = self.load_vectors_from_bin_loc(path.join(data_dir, 'vec.bin'))
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return self
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def __init__(self, get_lex_attr=None, tag_map=None, lemmatizer=None, serializer_freqs=None):
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if tag_map is None:
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tag_map = {}
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if lemmatizer is None:
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lemmatizer = Lemmatizer({}, {}, {})
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self.mem = Pool()
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self._by_hash = PreshMap()
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self._by_orth = PreshMap()
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self.strings = StringStore()
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# Load strings in a special order, so that we have an onset number for
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# the vocabulary. This way, when words are added in order, the orth ID
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# is the frequency rank of the word, plus a certain offset. The structural
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# strings are loaded first, because the vocab is open-class, and these
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# symbols are closed class.
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for name in symbols.NAMES + list(sorted(tag_map.keys())):
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if name:
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_ = self.strings[name]
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self.get_lex_attr = get_lex_attr
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self.morphology = Morphology(self.strings, tag_map, lemmatizer)
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self.serializer_freqs = serializer_freqs
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self.length = 1
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self._serializer = None
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property serializer:
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def __get__(self):
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if self._serializer is None:
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freqs = []
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self._serializer = Packer(self, self.serializer_freqs)
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return self._serializer
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def __len__(self):
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"""The current number of lexemes stored."""
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return self.length
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def __reduce__(self):
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# TODO: Dump vectors
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tmp_dir = tempfile.mkdtemp()
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lex_loc = path.join(tmp_dir, 'lexemes.bin')
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str_loc = path.join(tmp_dir, 'strings.txt')
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vec_loc = path.join(self.data_dir, 'vec.bin') if self.data_dir is not None else None
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self.dump(lex_loc)
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self.strings.dump(str_loc)
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state = (str_loc, lex_loc, vec_loc, self.morphology, self.get_lex_attr,
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self.serializer_freqs, self.data_dir)
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return (unpickle_vocab, state, None, None)
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cdef const LexemeC* get(self, Pool mem, unicode string) except NULL:
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'''Get a pointer to a LexemeC from the lexicon, creating a new Lexeme
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if necessary, using memory acquired from the given pool. If the pool
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is the lexicon's own memory, the lexeme is saved in the lexicon.'''
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if string == u'':
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return &EMPTY_LEXEME
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cdef LexemeC* lex
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cdef hash_t key = hash_string(string)
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lex = <LexemeC*>self._by_hash.get(key)
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cdef size_t addr
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if lex != NULL:
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if lex.orth != self.strings[string]:
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raise LookupError.mismatched_strings(
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lex.orth, self.strings[lex.orth], string)
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return lex
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else:
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return self._new_lexeme(mem, string)
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cdef const LexemeC* get_by_orth(self, Pool mem, attr_t orth) except NULL:
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'''Get a pointer to a LexemeC from the lexicon, creating a new Lexeme
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if necessary, using memory acquired from the given pool. If the pool
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is the lexicon's own memory, the lexeme is saved in the lexicon.'''
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if orth == 0:
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return &EMPTY_LEXEME
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cdef LexemeC* lex
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lex = <LexemeC*>self._by_orth.get(orth)
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if lex != NULL:
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return lex
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else:
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return self._new_lexeme(mem, self.strings[orth])
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cdef const LexemeC* _new_lexeme(self, Pool mem, unicode string) except NULL:
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cdef hash_t key
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cdef bint is_oov = mem is not self.mem
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if len(string) < 3:
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mem = self.mem
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lex = <LexemeC*>mem.alloc(sizeof(LexemeC), 1)
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lex.orth = self.strings[string]
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lex.length = len(string)
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lex.id = self.length
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lex.repvec = <float*>mem.alloc(self.vectors_length, sizeof(float))
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if self.get_lex_attr is not None:
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for attr, func in self.get_lex_attr.items():
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value = func(string)
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if isinstance(value, unicode):
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value = self.strings[value]
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if attr == PROB:
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lex.prob = value
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else:
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Lexeme.set_struct_attr(lex, attr, value)
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if is_oov:
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lex.id = 0
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else:
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key = hash_string(string)
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self._add_lex_to_vocab(key, lex)
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assert lex != NULL, string
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return lex
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cdef int _add_lex_to_vocab(self, hash_t key, const LexemeC* lex) except -1:
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self._by_hash.set(key, <void*>lex)
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self._by_orth.set(lex.orth, <void*>lex)
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self.length += 1
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def __iter__(self):
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cdef attr_t orth
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cdef size_t addr
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for orth, addr in self._by_orth.items():
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yield Lexeme(self, orth)
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def __getitem__(self, id_or_string):
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'''Retrieve a lexeme, given an int ID or a unicode string. If a previously
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unseen unicode string is given, a new lexeme is created and stored.
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Args:
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id_or_string (int or unicode):
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The integer ID of a word, or its unicode string. If an int >= Lexicon.size,
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IndexError is raised. If id_or_string is neither an int nor a unicode string,
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ValueError is raised.
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Returns:
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lexeme (Lexeme):
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An instance of the Lexeme Python class, with data copied on
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instantiation.
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'''
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cdef attr_t orth
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if type(id_or_string) == unicode:
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orth = self.strings[id_or_string]
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else:
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orth = id_or_string
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return Lexeme(self, orth)
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cdef const TokenC* make_fused_token(self, substrings) except NULL:
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cdef int i
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tokens = <TokenC*>self.mem.alloc(len(substrings) + 1, sizeof(TokenC))
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for i, props in enumerate(substrings):
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token = &tokens[i]
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# Set the special tokens up to have morphology and lemmas if
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# specified, otherwise use the part-of-speech tag (if specified)
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token.lex = <LexemeC*>self.get(self.mem, props['F'])
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if 'pos' in props:
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self.morphology.assign_tag(token, props['pos'])
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if 'L' in props:
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tokens[i].lemma = self.strings[props['L']]
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for feature, value in props.get('morph', {}).items():
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self.morphology.assign_feature(&token.morph, feature, value)
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return tokens
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def dump(self, loc):
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if path.exists(loc):
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assert not path.isdir(loc)
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cdef bytes bytes_loc = loc.encode('utf8') if type(loc) == unicode else loc
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cdef CFile fp = CFile(bytes_loc, 'wb')
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cdef size_t st
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cdef size_t addr
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cdef hash_t key
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for key, addr in self._by_hash.items():
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lexeme = <LexemeC*>addr
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fp.write_from(&lexeme.orth, sizeof(lexeme.orth), 1)
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fp.write_from(&lexeme.flags, sizeof(lexeme.flags), 1)
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fp.write_from(&lexeme.id, sizeof(lexeme.id), 1)
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fp.write_from(&lexeme.length, sizeof(lexeme.length), 1)
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fp.write_from(&lexeme.orth, sizeof(lexeme.orth), 1)
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fp.write_from(&lexeme.lower, sizeof(lexeme.lower), 1)
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fp.write_from(&lexeme.norm, sizeof(lexeme.norm), 1)
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fp.write_from(&lexeme.shape, sizeof(lexeme.shape), 1)
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fp.write_from(&lexeme.prefix, sizeof(lexeme.prefix), 1)
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fp.write_from(&lexeme.suffix, sizeof(lexeme.suffix), 1)
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fp.write_from(&lexeme.cluster, sizeof(lexeme.cluster), 1)
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fp.write_from(&lexeme.prob, sizeof(lexeme.prob), 1)
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fp.write_from(&lexeme.sentiment, sizeof(lexeme.sentiment), 1)
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fp.write_from(&lexeme.l2_norm, sizeof(lexeme.l2_norm), 1)
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fp.close()
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def load_lexemes(self, strings_loc, loc):
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self.strings.load(strings_loc)
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if not path.exists(loc):
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raise IOError('LexemeCs file not found at %s' % loc)
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fp = CFile(loc, 'rb')
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cdef LexemeC* lexeme
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cdef hash_t key
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cdef unicode py_str
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cdef attr_t orth
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assert sizeof(orth) == sizeof(lexeme.orth)
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i = 0
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while True:
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try:
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fp.read_into(&orth, 1, sizeof(orth))
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except IOError:
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break
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lexeme = <LexemeC*>self.mem.alloc(sizeof(LexemeC), 1)
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# Copy data from the file into the lexeme
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fp.read_into(&lexeme.flags, 1, sizeof(lexeme.flags))
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fp.read_into(&lexeme.id, 1, sizeof(lexeme.id))
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fp.read_into(&lexeme.length, 1, sizeof(lexeme.length))
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fp.read_into(&lexeme.orth, 1, sizeof(lexeme.orth))
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fp.read_into(&lexeme.lower, 1, sizeof(lexeme.lower))
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fp.read_into(&lexeme.norm, 1, sizeof(lexeme.norm))
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fp.read_into(&lexeme.shape, 1, sizeof(lexeme.shape))
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fp.read_into(&lexeme.prefix, 1, sizeof(lexeme.prefix))
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fp.read_into(&lexeme.suffix, 1, sizeof(lexeme.suffix))
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fp.read_into(&lexeme.cluster, 1, sizeof(lexeme.cluster))
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fp.read_into(&lexeme.prob, 1, sizeof(lexeme.prob))
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fp.read_into(&lexeme.sentiment, 1, sizeof(lexeme.sentiment))
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fp.read_into(&lexeme.l2_norm, 1, sizeof(lexeme.l2_norm))
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lexeme.repvec = EMPTY_VEC
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py_str = self.strings[lexeme.orth]
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key = hash_string(py_str)
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self._by_hash.set(key, lexeme)
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self._by_orth.set(lexeme.orth, lexeme)
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self.length += 1
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i += 1
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fp.close()
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def load_vectors(self, file_):
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cdef LexemeC* lexeme
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cdef attr_t orth
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cdef int32_t vec_len = -1
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for line_num, line in enumerate(file_):
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pieces = line.split()
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word_str = pieces.pop(0)
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if vec_len == -1:
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vec_len = len(pieces)
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elif vec_len != len(pieces):
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raise VectorReadError.mismatched_sizes(file_, line_num,
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vec_len, len(pieces))
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orth = self.strings[word_str]
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lexeme = <LexemeC*><void*>self.get_by_orth(self.mem, orth)
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lexeme.repvec = <float*>self.mem.alloc(self.vectors_length, sizeof(float))
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for i, val_str in enumerate(pieces):
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lexeme.repvec[i] = float(val_str)
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return vec_len
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def load_vectors_from_bin_loc(self, loc):
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cdef CFile file_ = CFile(loc, b'rb')
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cdef int32_t word_len
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cdef int32_t vec_len = 0
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cdef int32_t prev_vec_len = 0
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cdef float* vec
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cdef Address mem
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cdef attr_t string_id
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cdef bytes py_word
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cdef vector[float*] vectors
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cdef int line_num = 0
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cdef Pool tmp_mem = Pool()
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while True:
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try:
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file_.read_into(&word_len, sizeof(word_len), 1)
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except IOError:
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break
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file_.read_into(&vec_len, sizeof(vec_len), 1)
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if prev_vec_len != 0 and vec_len != prev_vec_len:
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raise VectorReadError.mismatched_sizes(loc, line_num,
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vec_len, prev_vec_len)
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if 0 >= vec_len >= MAX_VEC_SIZE:
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raise VectorReadError.bad_size(loc, vec_len)
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chars = <char*>file_.alloc_read(tmp_mem, word_len, sizeof(char))
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vec = <float*>file_.alloc_read(self.mem, vec_len, sizeof(float))
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string_id = self.strings[chars[:word_len]]
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while string_id >= vectors.size():
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vectors.push_back(EMPTY_VEC)
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assert vec != NULL
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vectors[string_id] = vec
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line_num += 1
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cdef LexemeC* lex
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cdef size_t lex_addr
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cdef int i
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for orth, lex_addr in self._by_orth.items():
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lex = <LexemeC*>lex_addr
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if lex.lower < vectors.size():
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lex.repvec = vectors[lex.lower]
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for i in range(vec_len):
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lex.l2_norm += (lex.repvec[i] * lex.repvec[i])
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lex.l2_norm = math.sqrt(lex.l2_norm)
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else:
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lex.repvec = EMPTY_VEC
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return vec_len
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def unpickle_vocab(strings_loc, lex_loc, vec_loc, morphology, get_lex_attr,
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serializer_freqs, data_dir):
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cdef Vocab vocab = Vocab()
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vocab.get_lex_attr = get_lex_attr
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vocab.morphology = morphology
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vocab.strings = morphology.strings
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vocab.data_dir = data_dir
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vocab.serializer_freqs = serializer_freqs
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vocab.load_lexemes(strings_loc, lex_loc)
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if vec_loc is not None:
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vocab.load_vectors_from_bin_loc(vec_loc)
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return vocab
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copy_reg.constructor(unpickle_vocab)
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def write_binary_vectors(in_loc, out_loc):
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cdef CFile out_file = CFile(out_loc, 'wb')
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cdef Address mem
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cdef int32_t word_len
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cdef int32_t vec_len
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cdef char* chars
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with bz2.BZ2File(in_loc, 'r') as file_:
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for line in file_:
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pieces = line.split()
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word = pieces.pop(0)
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mem = Address(len(pieces), sizeof(float))
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vec = <float*>mem.ptr
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for i, val_str in enumerate(pieces):
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vec[i] = float(val_str)
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word_len = len(word)
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vec_len = len(pieces)
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out_file.write_from(&word_len, 1, sizeof(word_len))
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out_file.write_from(&vec_len, 1, sizeof(vec_len))
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chars = <char*>word
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out_file.write_from(chars, len(word), sizeof(char))
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out_file.write_from(vec, vec_len, sizeof(float))
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class LookupError(Exception):
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@classmethod
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def mismatched_strings(cls, id_, id_string, original_string):
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return cls(
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"Error fetching a Lexeme from the Vocab. When looking up a string, "
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"the lexeme returned had an orth ID that did not match the query string. "
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"This means that the cached lexeme structs are mismatched to the "
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"string encoding table. The mismatched:\n"
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"Query string: {query}\n"
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"Orth cached: {orth_str}\n"
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"ID of orth: {orth_id}".format(
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query=original_string, orth_str=id_string, orth_id=id_)
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)
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class VectorReadError(Exception):
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@classmethod
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def mismatched_sizes(cls, loc, line_num, prev_size, curr_size):
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return cls(
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"Error reading word vectors from %s on line %d.\n"
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"All vectors must be the same size.\n"
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"Prev size: %d\n"
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"Curr size: %d" % (loc, line_num, prev_size, curr_size))
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@classmethod
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def bad_size(cls, loc, size):
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return cls(
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"Error reading word vectors from %s.\n"
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"Vector size: %d\n"
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"Max size: %d\n"
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"Min size: 1\n" % (loc, size, MAX_VEC_SIZE))
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