


# this script builds a small sample spm file tests/fixtures/test_sentencepiece_no_bos.model, with features needed by pegasus

# 1. pip install sentencepiece
#
# 2. wget https://raw.githubusercontent.com/google/sentencepiece/master/data/botchan.txt

# 3. build
import sentencepiece as spm

# pegasus:
# 1. no bos
# 2. eos_id is 1
# 3. unk_id is 2
# build a sample spm file accordingly
spm.SentencePieceTrainer.train(
    '''--input=botchan.txt --model_prefix=test_sentencepiece_no_bos --bos_id=-1 --unk_id=2  --eos_id=1  --vocab_size=1000'''
)

# 4. now update the fixture
# mv test_sentencepiece_no_bos.model ../../tests/fixtures/








from __future__ import annotations



def      _lowerCAmelCase  (							lowerCAmelCase_							:int							)->list[int]:
   '''simple docstring'''






   assert (
       isinstance(lowerCAmelCase_						,  lowerCAmelCase_							) and mask > 0
   ), F'''mask needs to be positive integer, your input {mask}'''
   snake_case_         =   []
   snake_case_         =   mask

   while submask:
      all_submasks.append(lowerCAmelCase_							)
      snake_case_         =   (submask - 1) & mask

   return all_submasks


if __name__ == "__main__":
   import doctest

   doctest.testmod()




