

'''simple docstring'''



class lowerCamelCase					:



			'''simple docstring'''






			def __init__( self			:		Tuple					)     ->						List[Any]:





									'''simple docstring'''
									A__	:  Optional[int]           =0
									A__	:  List[Any]           =0
									A__	:  Optional[Any]           ={}


			def lowercase__		( self			:		Optional[int]						,     lowerCAmelCase_			:		Tuple					)     ->						List[str]:





									'''simple docstring'''
									if vertex not in self.adjacency:
															A__	:  Any           ={}
															self.num_vertices += 1


			def lowercase__		( self			:		Optional[int]						,     lowerCAmelCase_			:		List[Any]						,     lowerCAmelCase_			:		Any						,     lowerCAmelCase_			:		Optional[int]					)     ->						Any:





									'''simple docstring'''
									self.add_vertex(lowerCAmelCase_					)
									self.add_vertex(lowerCAmelCase_					)

									if head == tail:
															return

									A__	:  Union[str, Any]           =weight
									A__	:  Optional[Any]           =weight


			def lowercase__		( self			:		int					)     ->						Any:





									'''simple docstring'''
									A__	:  Optional[int]           =self.get_edges()
									for edge in edges:
															A__	:  Any           =edge
															edges.remove((tail, head, weight)					)
									for i in range(len(lowerCAmelCase_					)					):
															A__	:  Optional[int]           =list(edges[i]					)

									edges.sort(key=lambda lowerCAmelCase_					: e[2]					)
									for i in range(len(lowerCAmelCase_					) - 1					):
															if edges[i][2] >= edges[i + 1][2]:
																					A__	:  Optional[int]           =edges[i][2] + 1
									for edge in edges:
															A__	:  int           =edge
															A__	:  Any           =weight
															A__	:  List[Any]           =weight


			def __str__( self			:		int					)     ->						Optional[Any]:





									'''simple docstring'''
									A__	:  List[Any]           =''
									for tail in self.adjacency:
															for head in self.adjacency[tail]:
																					A__	:  Union[str, Any]           =self.adjacency[head][tail]
																					string += f"{head} -> {tail} == {weight}\n"
									return string.rstrip("""\n"""					)


			def lowercase__		( self			:		List[Any]					)     ->						Dict:





									'''simple docstring'''
									A__	:  int           =[]
									for tail in self.adjacency:
															for head in self.adjacency[tail]:
																					output.append((tail, head, self.adjacency[head][tail])					)
									return output


			def lowercase__		( self			:		str					)     ->						Union[str, Any]:





									'''simple docstring'''
									return self.adjacency.keys()


			@staticmethod
			def lowercase__		( lowerCAmelCase_			:		Any=None						,     lowerCAmelCase_			:		Optional[Any]=None					)     ->						Optional[Any]:





									'''simple docstring'''
									A__	:  List[Any]           =Graph()
									if vertices is None:
															A__	:  List[str]           =[]
									if edges is None:
															A__	:  Dict           =[]
									for vertex in vertices:
															g.add_vertex(lowerCAmelCase_					)
									for edge in edges:
															g.add_edge(*lowerCAmelCase_					)
									return g



			class lowerCamelCase					:



						'''simple docstring'''






						def __init__( self			:		Optional[Any]					)     ->						Optional[int]:





												'''simple docstring'''
												A__	:  List[Any]           ={}
												A__	:  Any           ={}


						def __len__( self			:		List[Any]					)     ->						Optional[int]:





												'''simple docstring'''
												return len(self.parent					)


						def lowercase__		( self			:		int						,     lowerCAmelCase_			:		Optional[int]					)     ->						Optional[int]:





												'''simple docstring'''
												if item in self.parent:
																		return self.find(lowerCAmelCase_					)

												A__	:  Optional[Any]           =item
												A__	:  int           =0
												return item


						def lowercase__		( self			:		List[str]						,     lowerCAmelCase_			:		Optional[Any]					)     ->						Any:





												'''simple docstring'''
												if item not in self.parent:
																		return self.make_set(lowerCAmelCase_					)
												if item != self.parent[item]:
																		A__	:  Tuple           =self.find(self.parent[item]					)
												return self.parent[item]



						def lowercase__		( self			:		Union[str, Any]						,     lowerCAmelCase_			:		List[str]						,     lowerCAmelCase_			:		Dict					)     ->						Optional[int]:





												'''simple docstring'''
												A__	:  Dict           =self.find(lowerCAmelCase_					)
												A__	:  List[Any]           =self.find(lowerCAmelCase_					)

												if roota == roota:
																		return roota

												if self.rank[roota] > self.rank[roota]:
																		A__	:  Dict           =roota
																		return roota

												if self.rank[roota] < self.rank[roota]:
																		A__	:  Tuple           =roota
																		return roota

												if self.rank[roota] == self.rank[roota]:
																		self.rank[roota] += 1
																		A__	:  Union[str, Any]           =roota
																		return roota
												return None


			@staticmethod
			def lowercase__		( lowerCAmelCase_			:		List[str]					)     ->						Optional[Any]:





									'''simple docstring'''
									A__	:  Optional[int]           =graph.num_vertices

									A__	:  str           =Graph.UnionFind()
									A__	:  List[Any]           =[]
									while num_components > 1:
															A__	:  Optional[Any]           ={}
															for vertex in graph.get_vertices():
																					A__	:  Any           =-1

															A__	:  List[Any]           =graph.get_edges()
															for edge in edges:
																					A__	:  List[Any]           =edge
																					edges.remove((tail, head, weight)					)
															for edge in edges:
																					A__	:  Optional[Any]           =edge
																					A__	:  Tuple           =union_find.find(lowerCAmelCase_					)
																					A__	:  Optional[int]           =union_find.find(lowerCAmelCase_					)
																					if seta != seta:
																											if cheap_edge[seta] == -1 or cheap_edge[seta][2] > weight:
																																	A__	:  Any           =[head, tail, weight]

																											if cheap_edge[seta] == -1 or cheap_edge[seta][2] > weight:
																																	A__	:  Optional[Any]           =[head, tail, weight]
															for vertex in cheap_edge:
																					if cheap_edge[vertex] != -1:
																											A__	:  int           =cheap_edge[vertex]
																											if union_find.find(lowerCAmelCase_					) != union_find.find(lowerCAmelCase_					):
																																	union_find.union(lowerCAmelCase_						,     lowerCAmelCase_					)
																																	mst_edges.append(cheap_edge[vertex]					)
																																	A__	:  Optional[int]           =num_components - 1
									A__	:  str           =Graph.build(edges=lowerCAmelCase_					)
									return mst






"""simple docstring"""







from typing import TYPE_CHECKING

from ...file_utils import _LazyModule, is_torch_available
from ...utils import OptionalDependencyNotAvailable


a_							=    {
    """configuration_gpt_neox_japanese""": ["""GPT_NEOX_JAPANESE_PRETRAINED_CONFIG_ARCHIVE_MAP""", """GPTNeoXJapaneseConfig"""],
    """tokenization_gpt_neox_japanese""": ["""GPTNeoXJapaneseTokenizer"""],
}

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	a_							=    [
	    """GPT_NEOX_JAPANESE_PRETRAINED_MODEL_ARCHIVE_LIST""",
	    """GPTNeoXJapaneseForCausalLM""",
	    """GPTNeoXJapaneseLayer""",
	    """GPTNeoXJapaneseModel""",
	    """GPTNeoXJapanesePreTrainedModel""",
	]


if TYPE_CHECKING:
	from .configuration_gpt_neox_japanese import GPT_NEOX_JAPANESE_PRETRAINED_CONFIG_ARCHIVE_MAP, GPTNeoXJapaneseConfig
	from .tokenization_gpt_neox_japanese import GPTNeoXJapaneseTokenizer

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_gpt_neox_japanese import (
		    GPT_NEOX_JAPANESE_PRETRAINED_MODEL_ARCHIVE_LIST,
		    GPTNeoXJapaneseForCausalLM,
		    GPTNeoXJapaneseLayer,
		    GPTNeoXJapaneseModel,
		    GPTNeoXJapanesePreTrainedModel,
		)


else:
	import sys

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





