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https://github.com/explosion/spaCy.git
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50 lines
1.6 KiB
Python
50 lines
1.6 KiB
Python
import pathlib
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from spacy import hu
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from .util import set_lang_class, get_lang_class
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from .about import __version__
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from . import en
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from . import de
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from . import zh
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from . import es
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from . import it
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from . import fr
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from . import pt
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try:
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basestring
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except NameError:
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basestring = str
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set_lang_class(en.English.lang, en.English)
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set_lang_class(de.German.lang, de.German)
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set_lang_class(es.Spanish.lang, es.Spanish)
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set_lang_class(pt.Portuguese.lang, pt.Portuguese)
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set_lang_class(fr.French.lang, fr.French)
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set_lang_class(it.Italian.lang, it.Italian)
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set_lang_class(hu.Hungarian.lang, hu.Hungarian)
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set_lang_class(zh.Chinese.lang, zh.Chinese)
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def load(name, **overrides):
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target_name, target_version = util.split_data_name(name)
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data_path = overrides.get('path', util.get_data_path())
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if target_name == 'en' and 'add_vectors' not in overrides:
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if 'vectors' in overrides:
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vec_path = util.match_best_version(overrides['vectors'], None, data_path)
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if vec_path is None:
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raise IOError(
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'Could not load data pack %s from %s' % (overrides['vectors'], data_path))
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else:
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vec_path = util.match_best_version('en_glove_cc_300_1m_vectors', None, data_path)
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if vec_path is not None:
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vec_path = vec_path / 'vocab' / 'vec.bin'
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overrides['add_vectors'] = lambda vocab: vocab.load_vectors_from_bin_loc(vec_path)
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path = util.match_best_version(target_name, target_version, data_path)
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cls = get_lang_class(target_name)
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return cls(path=path, **overrides)
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