





"""simple docstring"""


from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_torch_available,
    is_vision_available,
)


a__					:     int							=				{
    """configuration_tvlt""": ["""TVLT_PRETRAINED_CONFIG_ARCHIVE_MAP""", """TvltConfig"""],
    """feature_extraction_tvlt""": ["""TvltFeatureExtractor"""],
    """processing_tvlt""": ["""TvltProcessor"""],
}

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   a__					:     Any							=				[
       """TVLT_PRETRAINED_MODEL_ARCHIVE_LIST""",
       """TvltModel""",
       """TvltForPreTraining""",
       """TvltForAudioVisualClassification""",
       """TvltPreTrainedModel""",
   ]

try:
   if not is_vision_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   a__					:     Tuple							=				["""TvltImageProcessor"""]


if TYPE_CHECKING:
   from .configuration_tvlt import TVLT_PRETRAINED_CONFIG_ARCHIVE_MAP, TvltConfig
   from .processing_tvlt import TvltProcessor
   from .feature_extraction_tvlt import TvltFeatureExtractor

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_tvlt import (
          TVLT_PRETRAINED_MODEL_ARCHIVE_LIST,
          TvltForAudioVisualClassification,
          TvltForPreTraining,
          TvltModel,
          TvltPreTrainedModel,
      )

   try:
      if not is_vision_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .image_processing_tvlt import TvltImageProcessor


else:
   import sys

   a__					:     str							=				_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)






"""simple docstring"""


class      lowercase_				:

       def __init__(			self   ,					__SCREAMING_SNAKE_CASE     ):






        '''simple docstring'''

        snake_case__    							=				data
        snake_case__    							=				42
        snake_case__    							=				42





def 							a__			(  _UpperCAmelCase	)    ->  None:

 '''simple docstring'''






 snake_case__    							=				0
 snake_case__    							=				x





def 							a__			(  _UpperCAmelCase	,     _UpperCAmelCase	)    ->  None:

 '''simple docstring'''






 snake_case__							,   snake_case__    							=				find_set(_UpperCAmelCase	), find_set(_UpperCAmelCase	)
 if x == y:
  return

 elif x.rank > y.rank:
  snake_case__    							=				x
 else:
  snake_case__    							=				y
  if x.rank == y.rank:
   y.rank += 1





def 							a__			(  _UpperCAmelCase	)    ->  Node:

 '''simple docstring'''






 if x != x.parent:
  snake_case__    							=				find_set(x.parent	)
 return x.parent





def 							a__			(  _UpperCAmelCase	)    ->  set:

 '''simple docstring'''






 snake_case__    							=				({0, 1, 2}, {3, 4, 5})
 for s in sets:
  if node.data in s:
   return s
 snake_case__    							=				f"{node.data} is not in {sets}"
 raise ValueError(_UpperCAmelCase	)





def 							a__			(  )    ->  None:

 '''simple docstring'''






 snake_case__    							=				[Node(_UpperCAmelCase	) for i in range(6	)]
 for v in vertex:
  make_set(_UpperCAmelCase	)

 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(_UpperCAmelCase	).isdisjoint(find_python_set(_UpperCAmelCase	)	):
    assert find_set(_UpperCAmelCase	) != find_set(_UpperCAmelCase	)
   else:
    assert find_set(_UpperCAmelCase	) == find_set(_UpperCAmelCase	)


if __name__ == "__main__":
   test_disjoint_set()

