mirror of https://github.com/explosion/spaCy.git
62 lines
1.5 KiB
Python
62 lines
1.5 KiB
Python
import pathlib
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from .util import set_lang_class, get_lang_class
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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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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(zh.Chinese.lang, zh.Chinese)
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def blank(name, vocab=None, tokenizer=None, parser=None, tagger=None, entity=None,
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matcher=None, serializer=None, vectors=None, pipeline=None):
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target_name, target_version = util.split_data_name(name)
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cls = get_lang_class(target_name)
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return cls(
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path,
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vectors=vectors,
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vocab=vocab,
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tokenizer=tokenizer,
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tagger=tagger,
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parser=parser,
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entity=entity,
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matcher=matcher,
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pipeline=pipeline,
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serializer=serializer)
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def load(name, vocab=True, tokenizer=True, parser=True, tagger=True, entity=True,
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matcher=True, serializer=True, vectors=True, pipeline=True, via=None):
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if via is None:
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via = util.get_data_path()
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target_name, target_version = util.split_data_name(name)
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path = util.match_best_version(target_name, target_version, via)
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if isinstance(vectors, basestring):
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vectors = util.match_best_version(vectors, None, via)
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cls = get_lang_class(target_name)
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return cls(
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path,
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vectors=vectors,
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vocab=vocab,
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tokenizer=tokenizer,
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tagger=tagger,
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parser=parser,
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entity=entity,
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matcher=matcher,
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pipeline=pipeline,
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serializer=serializer)
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