mirror of
https://github.com/explosion/spaCy.git
synced 2024-11-11 04:08:09 +03:00
Merge remote-tracking branch 'refs/remotes/honnibal/master'
This commit is contained in:
commit
c27393a85d
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@ -12,9 +12,9 @@ environment:
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PYTHON_VERSION: "2.7.10"
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PYTHON_ARCH: "64"
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#- PYTHON: "C:\\Python27.10-x32"
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# PYTHON_VERSION: "2.7.10"
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# PYTHON_ARCH: "32"
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- PYTHON: "C:\\Python27.10-x32"
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PYTHON_VERSION: "2.7.10"
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PYTHON_ARCH: "32"
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# The lastest Python 3.4.
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- PYTHON: "C:\\Python34-x64"
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@ -38,10 +38,11 @@ install:
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- "SET PYTHONPATH=%CD%;%PYTHONPATH%"
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# Filesystem root
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- ps: "ls \"C:/\""
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#- ps: "ls \"C:/\""
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#- SET
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# Installed SDKs
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- ps: "ls \"C:/Program Files/Microsoft SDKs/Windows\""
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#- ps: "ls \"C:/Program Files/Microsoft SDKs/Windows\""
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# Checking stdint.h
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#- ps: "ls \"C:/projects/spacy/include/\""
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@ -191,7 +191,8 @@ def setup_vocab(get_lex_attr, tag_map, src_dir, dst_dir):
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else:
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lexeme.cluster = 0
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vocab.dump(str(dst_dir / 'lexemes.bin'))
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vocab.strings.dump(str(dst_dir / 'strings.txt'))
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with (dst_dir / 'strings.json').open('w') as file_:
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vocab.strings.dump(file_)
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with (dst_dir / 'oov_prob').open('w') as file_:
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file_.write('%f' % oov_prob)
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2
fabfile.py
vendored
2
fabfile.py
vendored
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@ -68,7 +68,7 @@ def publish(version):
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local('git push origin %s' % version)
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local('python setup.py sdist')
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local('python setup.py register')
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local('twine upload dist/%s.tar.gz' % version)
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local('twine upload dist/spacy-%s.tar.gz' % version)
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def env(lang="python2.7"):
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6
setup.py
6
setup.py
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@ -129,11 +129,13 @@ def cython_setup(mod_names, language, includes):
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version=VERSION,
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url="http://honnibal.github.io/spaCy/",
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package_data={"spacy": ["*.pxd"],
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"spacy.tokens": ["*.pxd"],
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"spacy.serialize": ["*.pxd"],
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"spacy.en": ["*.pxd", "data/pos/*",
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"data/wordnet/*", "data/tokenizer/*",
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"data/vocab/tag_map.json",
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"data/vocab/lexemes.bin",
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"data/vocab/strings.txt"],
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"data/vocab/strings.json"],
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"spacy.syntax": ["*.pxd"]},
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ext_modules=exts,
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cmdclass={'build_ext': build_ext_cython_subclass},
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@ -175,7 +177,7 @@ def run_setup(exts):
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headers_workaround.install_headers('numpy')
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VERSION = '0.96'
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VERSION = '0.97'
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def main(modules, is_pypy):
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language = "cpp"
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includes = ['.', path.join(sys.prefix, 'include')]
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@ -1,5 +1,4 @@
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from __future__ import print_function
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from os import path
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import sys
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import os
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import tarfile
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@ -8,52 +7,58 @@ import plac
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from . import uget
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try:
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FileExistsError
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except NameError:
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FileExistsError = Exception
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# TODO: Read this from the same source as the setup
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VERSION = '0.9.5'
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VERSION = '0.9.6'
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AWS_STORE = 'https://s3-us-west-1.amazonaws.com/media.spacynlp.com'
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ALL_DATA_DIR_URL = '%s/en_data_all-%s.tgz' % (AWS_STORE, VERSION)
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DEST_DIR = path.join(path.dirname(path.abspath(__file__)), 'data')
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DEST_DIR = os.path.dirname(os.path.abspath(__file__))
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def download_file(url, dest_dir):
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return uget.download(url, dest_dir, console=sys.stdout)
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def download_file(url, download_path):
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return uget.download(url, download_path, console=sys.stdout)
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def install_data(url, dest_dir):
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filename = download_file(url, dest_dir)
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t = tarfile.open(filename)
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t.extractall(dest_dir)
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def install_data(url, extract_path, download_path):
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try:
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os.makedirs(extract_path)
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except FileExistsError:
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pass
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def install_parser_model(url, dest_dir):
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filename = download_file(url, dest_dir)
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t = tarfile.open(filename, mode=":gz")
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t.extractall(dest_dir)
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def install_dep_vectors(url, dest_dir):
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download_file(url, dest_dir)
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tmp = download_file(url, download_path)
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assert tmp == download_path
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t = tarfile.open(download_path)
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t.extractall(extract_path)
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@plac.annotations(
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force=("Force overwrite", "flag", "f", bool),
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)
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def main(data_size='all', force=False):
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if data_size == 'all':
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data_url = ALL_DATA_DIR_URL
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elif data_size == 'small':
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data_url = SM_DATA_DIR_URL
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filename = ALL_DATA_DIR_URL.rsplit('/', 1)[1]
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download_path = os.path.join(DEST_DIR, filename)
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data_path = os.path.join(DEST_DIR, 'data')
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if force and path.exists(DEST_DIR):
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shutil.rmtree(DEST_DIR)
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if force and os.path.exists(download_path):
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os.unlink(download_path)
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if not os.path.exists(DEST_DIR):
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os.makedirs(DEST_DIR)
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if force and os.path.exists(data_path):
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shutil.rmtree(data_path)
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install_data(data_url, DEST_DIR)
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if os.path.exists(data_path):
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print('data already installed at %s, overwrite with --force' % DEST_DIR)
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sys.exit(1)
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install_data(ALL_DATA_DIR_URL, DEST_DIR, download_path)
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if __name__ == '__main__':
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@ -1,5 +1,6 @@
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from os import path
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from warnings import warn
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import io
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try:
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import ujson as json
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@ -247,7 +248,10 @@ class Language(object):
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self.parser.model.end_training(path.join(data_dir, 'deps', 'model'))
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self.entity.model.end_training(path.join(data_dir, 'ner', 'model'))
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self.tagger.model.end_training(path.join(data_dir, 'pos', 'model'))
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self.vocab.strings.dump(path.join(data_dir, 'vocab', 'strings.txt'))
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strings_loc = path.join(data_dir, 'vocab', 'strings.json')
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with io.open(strings_loc, 'w', encoding='utf8') as file_:
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self.vocab.strings.dump(file_)
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with open(path.join(data_dir, 'vocab', 'serializer.json'), 'w') as file_:
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file_.write(
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@ -12,8 +12,15 @@ from libc.stdint cimport int64_t
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from .typedefs cimport hash_t, attr_t
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try:
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import codecs as io
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except ImportError:
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import io
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SEPARATOR = '\n|-SEP-|\n'
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try:
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import ujson as json
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except ImportError:
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import json
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cpdef hash_t hash_string(unicode string) except 0:
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@ -114,7 +121,11 @@ cdef class StringStore:
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def __iter__(self):
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cdef int i
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for i in range(self.size):
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yield self[i]
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if i == 0:
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yield u''
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else:
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utf8str = &self.c[i]
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yield _decode(utf8str)
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def __reduce__(self):
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strings = [""]
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@ -138,28 +149,22 @@ cdef class StringStore:
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self.size += 1
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return &self.c[self.size-1]
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def dump(self, loc):
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cdef Utf8Str* string
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cdef unicode py_string
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cdef int i
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with codecs.open(loc, 'w', 'utf8') as file_:
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for i in range(1, self.size):
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string = &self.c[i]
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py_string = _decode(string)
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file_.write(py_string)
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if (i+1) != self.size:
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file_.write(SEPARATOR)
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def dump(self, file_):
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string_data = json.dumps([s for s in self])
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if not isinstance(string_data, unicode):
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string_data = string_data.decode('utf8')
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file_.write(string_data)
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def load(self, loc):
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with codecs.open(loc, 'r', 'utf8') as file_:
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strings = file_.read().split(SEPARATOR)
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def load(self, file_):
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strings = json.load(file_)
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if strings == ['']:
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return None
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cdef unicode string
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cdef bytes byte_string
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for string in strings:
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byte_string = string.encode('utf8')
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self.intern(byte_string, len(byte_string))
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if string:
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byte_string = string.encode('utf8')
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self.intern(byte_string, len(byte_string))
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def _realloc(self):
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# We want to map straight to pointers, but they'll be invalidated if
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@ -120,6 +120,9 @@ cdef class Doc:
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def __str__(self):
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return u''.join([t.string for t in self])
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def __repr__(self):
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return u''.join([t.string for t in self])
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def similarity(self, other):
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if self.vector_norm == 0 or other.vector_norm == 0:
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return 0.0
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@ -46,6 +46,12 @@ cdef class Span:
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return 0
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return self.end - self.start
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def __repr__(self):
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text = self.text_with_ws
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if self[-1].whitespace_:
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text = text[:-1]
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return text
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def __getitem__(self, object i):
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if isinstance(i, slice):
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start, end = normalize_slice(len(self), i.start, i.stop, i.step)
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@ -43,6 +43,9 @@ cdef class Token:
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def __str__(self):
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return self.string
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def __repr__(self):
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return self.string
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cpdef bint check_flag(self, attr_id_t flag_id) except -1:
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return Lexeme.c_check_flag(self.c.lex, flag_id)
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@ -62,7 +62,9 @@ cdef class Vocab:
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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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with io.open(path.join(data_dir, 'strings.json'), 'r', encoding='utf8') as file_:
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self.strings.load(file_)
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self.load_lexemes(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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@ -106,11 +108,12 @@ cdef class Vocab:
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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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str_loc = path.join(tmp_dir, 'strings.json')
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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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with io.open(str_loc, 'w', encoding='utf8') as file_:
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self.strings.dump(file_)
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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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@ -250,8 +253,7 @@ cdef class Vocab:
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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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def load_lexemes(self, 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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@ -369,7 +371,9 @@ def unpickle_vocab(strings_loc, lex_loc, vec_loc, morphology, get_lex_attr,
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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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with io.open(strings_loc, 'r', encoding='utf8') as file_:
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vocab.strings.load(file_)
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vocab.load_lexemes(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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|
|
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@ -1,12 +1,13 @@
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# -*- coding: utf8 -*-
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from __future__ import unicode_literals
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import pickle
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import io
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from spacy.strings import StringStore
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import pytest
|
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|
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import io
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@pytest.fixture
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def sstore():
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|
@ -92,4 +93,12 @@ def test_pickle_string_store(sstore):
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assert loaded[hello_id] == u'Hi'
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def test_dump_load(sstore):
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id_ = sstore[u'qqqqq']
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loc = '/tmp/sstore.json'
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with io.open(loc, 'w', encoding='utf8') as file_:
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sstore.dump(file_)
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new_store = StringStore()
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with io.open(loc, 'r', encoding='utf8') as file_:
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new_store.load(file_)
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assert new_store[id_] == u'qqqqq'
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|
|
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