





from .stack import Stack


def 					__SCREAMING_SNAKE_CASE  (							__lowercase:		str):



  '''simple docstring'''






  __lowerCAmelCase			=				Stack()
  __lowerCAmelCase			=				{'''(''': ''')''', '''[''': ''']''', '''{''': '''}'''}
  for bracket in parentheses:
    if bracket in bracket_pairs:
      stack.push(__lowercase)
    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()

      __lowercase													=			["""((()))""", """((())""", """(()))"""]
      print("""Balanced parentheses demonstration:\n""")
      for example in examples:
            __lowercase													=			"""""" if balanced_parentheses(example) else """not """
            print(f"""{example} is {not_str}balanced""")







from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_sentencepiece_available,
    is_speech_available,
    is_torch_available,
)


__lowercase													=			{
    """configuration_speech_to_text_2""": ["""SPEECH_TO_TEXT_2_PRETRAINED_CONFIG_ARCHIVE_MAP""", """Speech2Text2Config"""],
    """processing_speech_to_text_2""": ["""Speech2Text2Processor"""],
    """tokenization_speech_to_text_2""": ["""Speech2Text2Tokenizer"""],
}


try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      __lowercase													=			[
          """SPEECH_TO_TEXT_2_PRETRAINED_MODEL_ARCHIVE_LIST""",
          """Speech2Text2ForCausalLM""",
          """Speech2Text2PreTrainedModel""",
      ]


if TYPE_CHECKING:
      from .configuration_speech_to_text_a import SPEECH_TO_TEXT_2_PRETRAINED_CONFIG_ARCHIVE_MAP, SpeechaTextaConfig
      from .processing_speech_to_text_a import SpeechaTextaProcessor
      from .tokenization_speech_to_text_a import SpeechaTextaTokenizer

      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_speech_to_text_a import (
                SPEECH_TO_TEXT_2_PRETRAINED_MODEL_ARCHIVE_LIST,
                SpeechaTextaForCausalLM,
                SpeechaTextaPreTrainedModel,
            )

else:
      import sys

      __lowercase													=			_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)
