from .stack import Stack







def 	UpperCAmelCase       (		lowerCAmelCase_       )	->	bool:
     a  :    Stack[str]				=						Stack()
     a  :    int				=						{'''(''': ''')''', '''[''': ''']''', '''{''': '''}'''}
     for bracket in parentheses:
          if bracket in bracket_pairs:
               stack.push(lowerCAmelCase_       )
          elif bracket in (")", "]", "}"):
               if stack.is_empty() or bracket_pairs[stack.pop()] != bracket:
                    return False
     return stack.is_empty()


if __name__ == "__main__":
  from doctest import testmod

  testmod()

  UpperCAmelCase							   =      ["""((()))""", """((())""", """(()))"""]
  print("""Balanced parentheses demonstration:\n""")
  for example in examples:
    UpperCAmelCase							   =      """""" if balanced_parentheses(example) else """not """
    print(F'''{example} is {not_str}balanced''')
# 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/