


class 	lowerCamelCase_       :



					'''simple docstring'''







					def __init__(				self						)   ->			Any:







								'''simple docstring'''

								__lowercase 					=   0
								__lowercase 					=   0
								__lowercase 					=   {}






					def A      (				self ,       snake_case_						)   ->			Dict:







								'''simple docstring'''

								if vertex not in self.adjacency:
											__lowercase 					=   {}
											self.num_vertices += 1






					def A      (				self ,       snake_case_ ,       snake_case_ ,       snake_case_						)   ->			Any:







								'''simple docstring'''

								self.add_vertex(snake_case_						)
								self.add_vertex(snake_case_						)

								if head == tail:
											return

								__lowercase 					=   weight
								__lowercase 					=   weight






					def A      (				self						)   ->			str:







								'''simple docstring'''

								__lowercase 					=   self.get_edges()
								for edge in edges:
											__lowercase					, __lowercase					, __lowercase 					=   edge
											edges.remove((tail, head, weight)						)
								for i in range(len(snake_case_						)						):
											__lowercase 					=   list(edges[i]						)

								edges.sort(key=lambda snake_case_						: e[2]						)
								for i in range(len(snake_case_						) - 1						):
											if edges[i][2] >= edges[i + 1][2]:
														__lowercase 					=   edges[i][2] + 1
								for edge in edges:
											__lowercase					, __lowercase					, __lowercase 					=   edge
											__lowercase 					=   weight
											__lowercase 					=   weight






					def __str__(				self						)   ->			Any:







								'''simple docstring'''

								__lowercase 					=   ''''''
								for tail in self.adjacency:
											for head in self.adjacency[tail]:
														__lowercase 					=   self.adjacency[head][tail]
														string += F'{head} -> {tail} == {weight}\n'
								return string.rstrip('''\n'''						)






					def A      (				self						)   ->			Optional[Any]:







								'''simple docstring'''

								__lowercase 					=   []
								for tail in self.adjacency:
											for head in self.adjacency[tail]:
														output.append((tail, head, self.adjacency[head][tail])						)
								return output






					def A      (				self						)   ->			List[str]:







								'''simple docstring'''

								return self.adjacency.keys()






					@staticmethod
					def A      (				snake_case_=None ,       snake_case_=None						)   ->			Optional[int]:







								'''simple docstring'''

								__lowercase 					=   Graph()
								if vertices is None:
											__lowercase 					=   []
								if edges is None:
											__lowercase 					=   []
								for vertex in vertices:
											g.add_vertex(snake_case_						)
								for edge in edges:
											g.add_edge(*snake_case_						)
								return g
					class 	lowerCamelCase_       :



										'''simple docstring'''







										def __init__(				self						)   ->			List[str]:







													'''simple docstring'''

													__lowercase 					=   {}
													__lowercase 					=   {}






										def __len__(				self						)   ->			Any:







													'''simple docstring'''

													return len(self.parent						)






										def A      (				self ,       snake_case_						)   ->			List[str]:







													'''simple docstring'''

													if item in self.parent:
																return self.find(snake_case_						)

													__lowercase 					=   item
													__lowercase 					=   0
													return item






										def A      (				self ,       snake_case_						)   ->			Any:







													'''simple docstring'''

													if item not in self.parent:
																return self.make_set(snake_case_						)
													if item != self.parent[item]:
																__lowercase 					=   self.find(self.parent[item]						)
													return self.parent[item]






										def A      (				self ,       snake_case_ ,       snake_case_						)   ->			Optional[Any]:







													'''simple docstring'''

													__lowercase 					=   self.find(snake_case_						)
													__lowercase 					=   self.find(snake_case_						)

													if roota == roota:
																return roota

													if self.rank[roota] > self.rank[roota]:
																__lowercase 					=   roota
																return roota

													if self.rank[roota] < self.rank[roota]:
																__lowercase 					=   roota
																return roota

													if self.rank[roota] == self.rank[roota]:
																self.rank[roota] += 1
																__lowercase 					=   roota
																return roota
													return None






					@staticmethod
					def A      (				snake_case_						)   ->			Dict:







								'''simple docstring'''

								__lowercase 					=   graph.num_vertices

								__lowercase 					=   Graph.UnionFind()
								__lowercase 					=   []
								while num_components > 1:
											__lowercase 					=   {}
											for vertex in graph.get_vertices():
														__lowercase 					=   -1

											__lowercase 					=   graph.get_edges()
											for edge in edges:
														__lowercase					, __lowercase					, __lowercase 					=   edge
														edges.remove((tail, head, weight)						)
											for edge in edges:
														__lowercase					, __lowercase					, __lowercase 					=   edge
														__lowercase 					=   union_find.find(snake_case_						)
														__lowercase 					=   union_find.find(snake_case_						)
														if seta != seta:
																	if cheap_edge[seta] == -1 or cheap_edge[seta][2] > weight:
																				__lowercase 					=   [head, tail, weight]

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






import argparse

from transformers import TaConfig, TaForConditionalGeneration, load_tf_weights_in_ta
from transformers.utils import logging


logging.set_verbosity_info()


def 		lowercase_  (     _UpperCamelCase       ,			_UpperCamelCase       ,			_UpperCamelCase  ):


			'''simple docstring'''







			__lowercase 					=   TaConfig.from_json_file(_UpperCamelCase  )
			print(F'Building PyTorch model from configuration: {config}'  )
			__lowercase 					=   TaForConditionalGeneration(_UpperCamelCase  )

			# Load weights from tf checkpoint
			load_tf_weights_in_ta(_UpperCamelCase       ,			_UpperCamelCase       ,			_UpperCamelCase  )

			# Save pytorch-model
			print(F'Save PyTorch model to {pytorch_dump_path}'  )
			model.save_pretrained(_UpperCamelCase  )


if __name__ == "__main__":
	a : Optional[int]		=				argparse.ArgumentParser()
	# Required parameters
	parser.add_argument(
	    '''--tf_checkpoint_path''', default=None, type=str, required=True, help='''Path to the TensorFlow checkpoint path.'''
	)
	parser.add_argument(
	    '''--config_file''',
	    default=None,
	    type=str,
	    required=True,
	    help=(
	        '''The config json file corresponding to the pre-trained T5 model. \nThis specifies the model architecture.'''
	    ),
	)
	parser.add_argument(
	    '''--pytorch_dump_path''', default=None, type=str, required=True, help='''Path to the output PyTorch model.'''
	)
	a : str		=				parser.parse_args()
	convert_tf_checkpoint_to_pytorch(args.tf_checkpoint_path, args.config_file, args.pytorch_dump_path)


