code: # 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/
style_context: def 		snake_case__  (		lowercase = 998001				):
  
     # fetches the next number
     for number in range(n - 1       ,							9999       ,							-1				):
        lowerCAmelCase_:       str         =  str(lowercase				)
  
        # checks whether 'str_number' is a palindrome.
        if str_number == str_number[::-1]:
           lowerCAmelCase_:       List[str]         =  999
  
           # if 'number' is a product of two 3-digit numbers
           # then number is the answer otherwise fetch next number.
           while divisor != 99:
              if (number % divisor == 0) and (len(str(number // divisor				)				) == 3.0):
                 return number
              divisor -= 1
     raise ValueError("That number is larger than our acceptable range."				)
  
  
  if __name__ == "__main__":
   print(f'''{solution() = }''')