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a04b5be1b2
Can be imported as explain from spacy.glossary, or called as spacy.explain(term)
42 lines
1.4 KiB
Python
42 lines
1.4 KiB
Python
# coding: utf8
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from __future__ import unicode_literals
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from . import util
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from .deprecated import resolve_model_name
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from .cli.info import info
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from .glossary import explain
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from . import en, de, zh, es, it, hu, fr, pt, nl, sv, fi, bn, he, nb, ja
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_languages = (en.English, de.German, es.Spanish, pt.Portuguese, fr.French,
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it.Italian, hu.Hungarian, zh.Chinese, nl.Dutch, sv.Swedish,
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fi.Finnish, bn.Bengali, he.Hebrew, nb.Norwegian, ja.Japanese)
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for _lang in _languages:
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util.set_lang_class(_lang.lang, _lang)
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def load(name, **overrides):
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if overrides.get('path') in (None, False, True):
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data_path = util.get_data_path()
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model_name = resolve_model_name(name)
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model_path = data_path / model_name
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if not model_path.exists():
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lang_name = util.get_lang_class(name).lang
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model_path = None
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util.print_msg(
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"Only loading the '{}' tokenizer.".format(lang_name),
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title="Warning: no model found for '{}'".format(name))
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else:
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model_path = util.ensure_path(overrides['path'])
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data_path = model_path.parent
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model_name = ''
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meta = util.parse_package_meta(data_path, model_name, require=False)
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lang = meta['lang'] if meta and 'lang' in meta else name
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cls = util.get_lang_class(lang)
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overrides['meta'] = meta
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overrides['path'] = model_path
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return cls(**overrides)
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