class 				__lowerCAmelCase					:



 '''simple docstring'''

 def __init__(     self    :						Optional[Any]    ,     lowerCamelCase    :						int					)	->							None:
        _UpperCamelCase       :    Tuple					  =					data
        _UpperCamelCase       :    int
        _UpperCamelCase       :    Node







def SCREAMING_SNAKE_CASE			(       lowercase_:		Node			):
       _UpperCamelCase       :    Tuple					  =					0
       _UpperCamelCase       :    List[str]					  =					x


def SCREAMING_SNAKE_CASE			(       lowercase_:		Node						,  lowercase_:		Node			):
       _UpperCamelCase  , _UpperCamelCase       :    List[str]					  =					find_set(lowercase_			), find_set(lowercase_			)
       if x == y:
              return

       elif x.rank > y.rank:
              _UpperCamelCase       :    List[Any]					  =					x
       else:
              _UpperCamelCase       :    List[Any]					  =					y
              if x.rank == y.rank:
                     y.rank += 1


def SCREAMING_SNAKE_CASE			(       lowercase_:		Node			):
       if x != x.parent:
              _UpperCamelCase       :    Any					  =					find_set(x.parent			)
       return x.parent


def SCREAMING_SNAKE_CASE			(       lowercase_:		Node			):
       _UpperCamelCase       :    List[str]					  =					({0, 1, 2}, {3, 4, 5})
       for s in sets:
              if node.data in s:
                     return s
       _UpperCamelCase       :    List[Any]					  =					F"{node.data} is not in {sets}"
       raise ValueError(lowercase_			)


def SCREAMING_SNAKE_CASE			(       ):
       _UpperCamelCase       :    int					  =					[Node(lowercase_			) for i in range(6			)]
       for v in vertex:
              make_set(lowercase_			)

       union_set(vertex[0]						,  vertex[1]			)
       union_set(vertex[1]						,  vertex[2]			)
       union_set(vertex[3]						,  vertex[4]			)
       union_set(vertex[3]						,  vertex[5]			)

       for nodea in vertex:
              for nodea in vertex:
                     if find_python_set(lowercase_			).isdisjoint(find_python_set(lowercase_			)			):
                            assert find_set(lowercase_			) != find_set(lowercase_			)
                     else:
                            assert find_set(lowercase_			) == find_set(lowercase_			)


if __name__ == "__main__":
 test_disjoint_set()




from typing import TYPE_CHECKING

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


UpperCAmelCase     						=			{
    '''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:
 UpperCAmelCase     						=			[
     '''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

 UpperCAmelCase     						=			_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)



