spaCy/spacy/deprecated.py

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from pathlib import Path
from . import about
from . import util
from .download import download
def read_lang_data(package):
tokenization = package.load_json(('tokenizer', 'specials.json'))
with package.open(('tokenizer', 'prefix.txt'), default=None) as file_:
prefix = read_prefix(file_) if file_ is not None else None
with package.open(('tokenizer', 'suffix.txt'), default=None) as file_:
suffix = read_suffix(file_) if file_ is not None else None
with package.open(('tokenizer', 'infix.txt'), default=None) as file_:
infix = read_infix(file_) if file_ is not None else None
return tokenization, prefix, suffix, infix
def align_tokens(ref, indices): # Deprecated, surely?
start = 0
queue = list(indices)
for token in ref:
end = start + len(token)
emit = []
while queue and queue[0][1] <= end:
emit.append(queue.pop(0))
yield token, emit
start = end
assert not queue
def detokenize(token_rules, words): # Deprecated?
"""To align with treebanks, return a list of "chunks", where a chunk is a
sequence of tokens that are separated by whitespace in actual strings. Each
chunk should be a tuple of token indices, e.g.
>>> detokenize(["ca<SEP>n't", '<SEP>!'], ["I", "ca", "n't", "!"])
[(0,), (1, 2, 3)]
"""
string = ' '.join(words)
for subtoks in token_rules:
# Algorithmically this is dumb, but writing a little list-based match
# machine? Ain't nobody got time for that.
string = string.replace(subtoks.replace('<SEP>', ' '), subtoks)
positions = []
i = 0
for chunk in string.split():
subtoks = chunk.split('<SEP>')
positions.append(tuple(range(i, i+len(subtoks))))
i += len(subtoks)
return positions
def fix_glove_vectors_loading(overrides):
"""Special-case hack for loading the GloVe vectors, to support deprecated
<1.0 stuff. Phase this out once the data is fixed."""
if 'data_dir' in overrides and 'path' not in overrides:
raise ValueError("The argument 'data_dir' has been renamed to 'path'")
if overrides.get('path') is False:
return overrides
if overrides.get('path') in (None, True):
data_path = util.get_data_path()
else:
path = overrides['path']
if isinstance(path, basestring):
path = Path(path)
data_path = path.parent
vec_path = None
if 'add_vectors' not in overrides:
if 'vectors' in overrides:
vec_path = util.match_best_version(overrides['vectors'], None, data_path)
if vec_path is None:
return overrides
else:
vec_path = util.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'
if vec_path is not None:
overrides['add_vectors'] = lambda vocab: vocab.load_vectors_from_bin_loc(vec_path)
return overrides
class ModelDownload():
"""Replace download modules within en and de with deprecation warning and
download default language model (using shortcut). Use classmethods to allow
importing ModelDownload as download and calling download.en() etc."""
@classmethod
def load(self, lang):
util.print_msg(
"The spacy.{l}.download command is now deprecated. Please use "
"spacy.download [model name or shortcut] instead. For more "
"info and available models, see the documentation: {d}. "
"Downloading default '{l}' model now...".format(d=about.__docs__, l=lang),
title="Warning: deprecated command")
download(lang)
@classmethod
def en(cls, *args, **kwargs):
cls.load('en')
@classmethod
def de(cls, *args, **kwargs):
cls.load('de')