spaCy/spacy/en/__init__.py

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# encoding: utf8
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from __future__ import unicode_literals, print_function
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from os import path
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from ..util import match_best_version
from ..util import get_data_path
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from ..language import Language
from ..lemmatizer import Lemmatizer
from ..vocab import Vocab
from ..tokenizer import Tokenizer
from ..attrs import LANG
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from .language_data import *
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class English(Language):
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lang = 'en'
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class Defaults(Language.Defaults):
lex_attr_getters = dict(Language.Defaults.lex_attr_getters)
lex_attr_getters[LANG] = lambda text: 'en'
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tokenizer_exceptions = TOKENIZER_EXCEPTIONS
tag_map = TAG_MAP
stop_words = STOP_WORDS
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lemma_rules = LEMMA_RULES
def __init__(self, **overrides):
# Make a special-case hack for loading the GloVe vectors, to support
# deprecated <1.0 stuff. Phase this out once the data is fixed.
overrides = _fix_deprecated_glove_vectors_loading(overrides)
Language.__init__(self, **overrides)
def _fix_deprecated_glove_vectors_loading(overrides):
if 'data_dir' in overrides and 'path' not in overrides:
raise ValueError("The argument 'data_dir' has been renamed to 'path'")
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if overrides.get('path') is False:
return overrides
if overrides.get('path') in (None, True):
data_path = get_data_path()
else:
path = overrides['path']
data_path = path.parent
vec_path = None
if 'add_vectors' not in overrides:
if 'vectors' in overrides:
vec_path = match_best_version(overrides['vectors'], None, data_path)
if vec_path is None:
raise IOError(
'Could not load data pack %s from %s' % (overrides['vectors'], data_path))
else:
vec_path = match_best_version('en_glove_cc_300_1m_vectors', None, data_path)
if vec_path is not None:
vec_path = vec_path / 'vocab' / 'vec.bin'
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if vec_path is not None:
overrides['add_vectors'] = lambda vocab: vocab.load_vectors_from_bin_loc(vec_path)
return overrides