'''simple docstring'''




class 	__UpperCAmelCase				:





       '''simple docstring'''



       def __init__(      self    ,     _SCREAMING_SNAKE_CASE )		->     None:
           A_     =   data
           A_     =   42
           A_     =   42





def      _UpperCAmelCase    (							_UpperCamelCase    :	Node   )	->      None:
    A_     =   0
    A_     =   x





def      _UpperCAmelCase    (							_UpperCamelCase    :	Node,   _UpperCamelCase    :	Node   )	->      None:
    A_   ,A_     =   find_set(_UpperCamelCase   ), find_set(_UpperCamelCase   )
    if x == y:
        return

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





def      _UpperCAmelCase    (							_UpperCamelCase    :	Node   )	->      Node:
    if x != x.parent:
        A_     =   find_set(x.parent   )
    return x.parent





def      _UpperCAmelCase    (							_UpperCamelCase    :	Node   )	->      set:
    A_     =   ({0, 1, 2}, {3, 4, 5})
    for s in sets:
        if node.data in s:
            return s
    A_     =   F'''{node.data} is not in {sets}'''
    raise ValueError(_UpperCamelCase   )





def      _UpperCAmelCase    (							)	->      None:
    A_     =   [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()













from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_torch_available,
)


_lowerCamelCase       =	{
    'configuration_gptsan_japanese': ['GPTSAN_JAPANESE_PRETRAINED_CONFIG_ARCHIVE_MAP', 'GPTSanJapaneseConfig'],
    'tokenization_gptsan_japanese': ['GPTSanJapaneseTokenizer'],
}

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	_lowerCamelCase       =	[
	    'GPTSAN_JAPANESE_PRETRAINED_MODEL_ARCHIVE_LIST',
	    'GPTSanJapaneseForConditionalGeneration',
	    'GPTSanJapaneseModel',
	    'GPTSanJapanesePreTrainedModel',
	]
	_lowerCamelCase       =	[
	    'GPTSanJapaneseTokenizer',
	]


if TYPE_CHECKING:
	from .configuration_gptsan_japanese import GPTSAN_JAPANESE_PRETRAINED_CONFIG_ARCHIVE_MAP, GPTSanJapaneseConfig
	from .tokenization_gptsan_japanese import GPTSanJapaneseTokenizer

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_gptsan_japanese import (
		    GPTSAN_JAPANESE_PRETRAINED_MODEL_ARCHIVE_LIST,
		    GPTSanJapaneseForConditionalGeneration,
		    GPTSanJapaneseModel,
		    GPTSanJapanesePreTrainedModel,
		)
		from .tokenization_gptsan_japanese import GPTSanJapaneseTokenizer


else:
	import sys

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