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prepro_utils.py
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prepro_utils.py
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# coding=utf-8
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import unicodedata
import six
from functools import partial
SPIECE_UNDERLINE = '▁'
def printable_text(text):
"""Returns text encoded in a way suitable for print or `tf.logging`."""
# These functions want `str` for both Python2 and Python3, but in one case
# it's a Unicode string and in the other it's a byte string.
if six.PY3:
if isinstance(text, str):
return text
elif isinstance(text, bytes):
return text.decode("utf-8", "ignore")
else:
raise ValueError("Unsupported string type: %s" % (type(text)))
elif six.PY2:
if isinstance(text, str):
return text
elif isinstance(text, unicode):
return text.encode("utf-8")
else:
raise ValueError("Unsupported string type: %s" % (type(text)))
else:
raise ValueError("Not running on Python2 or Python 3?")
def print_(*args):
new_args = []
for arg in args:
if isinstance(arg, list):
s = [printable_text(i) for i in arg]
s = ' '.join(s)
new_args.append(s)
else:
new_args.append(printable_text(arg))
print(*new_args)
def preprocess_text(inputs, lower=False, remove_space=True, keep_accents=False):
if remove_space:
outputs = ' '.join(inputs.strip().split())
else:
outputs = inputs
outputs = outputs.replace("``", '"').replace("''", '"')
if six.PY2 and isinstance(outputs, str):
outputs = outputs.decode('utf-8')
if not keep_accents:
outputs = unicodedata.normalize('NFKD', outputs)
outputs = ''.join([c for c in outputs if not unicodedata.combining(c)])
if lower:
outputs = outputs.lower()
return outputs
def encode_pieces(sp_model, text, return_unicode=True, sample=False):
# return_unicode is used only for py2
# note(zhiliny): in some systems, sentencepiece only accepts str for py2
if six.PY2 and isinstance(text, unicode):
text = text.encode('utf-8')
if not sample:
pieces = sp_model.EncodeAsPieces(text)
else:
pieces = sp_model.SampleEncodeAsPieces(text, 64, 0.1)
new_pieces = []
for piece in pieces:
if len(piece) > 1 and piece[-1] == ',' and piece[-2].isdigit():
cur_pieces = sp_model.EncodeAsPieces(
piece[:-1].replace(SPIECE_UNDERLINE, ''))
if piece[0] != SPIECE_UNDERLINE and cur_pieces[0][0] == SPIECE_UNDERLINE:
if len(cur_pieces[0]) == 1:
cur_pieces = cur_pieces[1:]
else:
cur_pieces[0] = cur_pieces[0][1:]
cur_pieces.append(piece[-1])
new_pieces.extend(cur_pieces)
else:
new_pieces.append(piece)
# note(zhiliny): convert back to unicode for py2
if six.PY2 and return_unicode:
ret_pieces = []
for piece in new_pieces:
if isinstance(piece, str):
piece = piece.decode('utf-8')
ret_pieces.append(piece)
new_pieces = ret_pieces
return new_pieces
def encode_ids(sp_model, text, sample=False):
pieces = encode_pieces(sp_model, text, return_unicode=False, sample=sample)
ids = [sp_model.PieceToId(piece) for piece in pieces]
return ids
if __name__ == '__main__':
import sentencepiece as spm
sp = spm.SentencePieceProcessor()
sp.load('sp10m.uncased.v3.model')
print_(u'I was born in 2000, and this is falsé.')
print_(u'ORIGINAL', sp.EncodeAsPieces(u'I was born in 2000, and this is falsé.'))
print_(u'OURS', encode_pieces(sp, u'I was born in 2000, and this is falsé.'))
print(encode_ids(sp, u'I was born in 2000, and this is falsé.'))
print_('')
prepro_func = partial(preprocess_text, lower=True)
print_(prepro_func('I was born in 2000, and this is falsé.'))
print_('ORIGINAL', sp.EncodeAsPieces(prepro_func('I was born in 2000, and this is falsé.')))
print_('OURS', encode_pieces(sp, prepro_func('I was born in 2000, and this is falsé.')))
print(encode_ids(sp, prepro_func('I was born in 2000, and this is falsé.')))
print_('')
print_('I was born in 2000, and this is falsé.')
print_('ORIGINAL', sp.EncodeAsPieces('I was born in 2000, and this is falsé.'))
print_('OURS', encode_pieces(sp, 'I was born in 2000, and this is falsé.'))
print(encode_ids(sp, 'I was born in 2000, and this is falsé.'))
print_('')
print_('I was born in 92000, and this is falsé.')
print_('ORIGINAL', sp.EncodeAsPieces('I was born in 92000, and this is falsé.'))
print_('OURS', encode_pieces(sp, 'I was born in 92000, and this is falsé.'))
print(encode_ids(sp, 'I was born in 92000, and this is falsé.'))