mirror of
https://github.com/explosion/spaCy.git
synced 2024-12-27 10:26:35 +03:00
83 lines
2.8 KiB
Python
83 lines
2.8 KiB
Python
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from sputnik.dir_package import DirPackage
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from sputnik.package_list import (PackageNotFoundException,
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CompatiblePackageNotFoundException)
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import sputnik
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from . import about
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def get_package(data_dir):
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if not isinstance(data_dir, six.string_types):
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raise RuntimeError('data_dir must be a string')
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return DirPackage(data_dir)
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def get_package_by_name(name=None, via=None):
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if name is None:
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return
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lang = get_lang_class(name)
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try:
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return sputnik.package(about.__title__, about.__version__,
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name, data_path=via)
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except PackageNotFoundException as e:
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raise RuntimeError("Model '%s' not installed. Please run 'python -m "
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"%s.download' to install latest compatible "
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"model." % (name, lang.__module__))
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except CompatiblePackageNotFoundException as e:
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raise RuntimeError("Installed model is not compatible with spaCy "
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"version. Please run 'python -m %s.download "
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"--force' to install latest compatible model." %
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(lang.__module__))
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def read_lang_data(package):
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tokenization = package.load_json(('tokenizer', 'specials.json'))
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with package.open(('tokenizer', 'prefix.txt'), default=None) as file_:
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prefix = read_prefix(file_) if file_ is not None else None
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with package.open(('tokenizer', 'suffix.txt'), default=None) as file_:
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suffix = read_suffix(file_) if file_ is not None else None
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with package.open(('tokenizer', 'infix.txt'), default=None) as file_:
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infix = read_infix(file_) if file_ is not None else None
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return tokenization, prefix, suffix, infix
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def align_tokens(ref, indices): # Deprecated, surely?
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start = 0
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queue = list(indices)
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for token in ref:
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end = start + len(token)
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emit = []
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while queue and queue[0][1] <= end:
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emit.append(queue.pop(0))
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yield token, emit
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start = end
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assert not queue
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def detokenize(token_rules, words): # Deprecated?
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"""To align with treebanks, return a list of "chunks", where a chunk is a
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sequence of tokens that are separated by whitespace in actual strings. Each
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chunk should be a tuple of token indices, e.g.
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>>> detokenize(["ca<SEP>n't", '<SEP>!'], ["I", "ca", "n't", "!"])
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[(0,), (1, 2, 3)]
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"""
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string = ' '.join(words)
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for subtoks in token_rules:
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# Algorithmically this is dumb, but writing a little list-based match
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# machine? Ain't nobody got time for that.
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string = string.replace(subtoks.replace('<SEP>', ' '), subtoks)
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positions = []
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i = 0
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for chunk in string.split():
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subtoks = chunk.split('<SEP>')
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positions.append(tuple(range(i, i+len(subtoks))))
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i += len(subtoks)
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return positions
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