






'''simple docstring'''







from argparse import ArgumentParser

from . import BaseTransformersCLICommand
def     A__      (					__lowerCAmelCase		:      Optional[int]    ):
						return DownloadCommand(args.model ,     args.cache_dir ,     args.force ,     args.trust_remote_code    )





class 		UpperCamelCase__     (a      ):




		'''simple docstring'''





		@staticmethod
		def       UpperCamelCase_       (   _lowerCAmelCase							):
								lowerCamelCase__								=	parser.add_parser("""download"""							)
								download_parser.add_argument(
								    """--cache-dir""" ,type=_lowerCAmelCase ,default=_lowerCAmelCase ,help="""Path to location to store the models"""							)
								download_parser.add_argument(
								    """--force""" ,action="""store_true""" ,help="""Force the model to be download even if already in cache-dir"""							)
								download_parser.add_argument(
								    """--trust-remote-code""" ,action="""store_true""" ,help="""Whether or not to allow for custom models defined on the Hub in their own modeling files. Use only if you've reviewed the code as it will execute on your local machine""" ,)
								download_parser.add_argument("""model""" ,type=_lowerCAmelCase ,help="""Name of the model to download"""							)
								download_parser.set_defaults(func=_lowerCAmelCase							)






		def __init__(   self ,_lowerCAmelCase ,_lowerCAmelCase ,_lowerCAmelCase ,_lowerCAmelCase							):
								lowerCamelCase__								=	model
								lowerCamelCase__								=	cache
								lowerCamelCase__								=	force
								lowerCamelCase__								=	trust_remote_code






		def       UpperCamelCase_       (   self							):
								from ..models.auto import AutoModel, AutoTokenizer

								AutoModel.from_pretrained(
								    self._model ,cache_dir=self._cache ,force_download=self._force ,trust_remote_code=self._trust_remote_code							)
								AutoTokenizer.from_pretrained(
								    self._model ,cache_dir=self._cache ,force_download=self._force ,trust_remote_code=self._trust_remote_code							)




from __future__ import annotations

from typing import Any

class __UpperCamelCase     :






					'''simple docstring'''



					def __init__(				self				,      lowerCamelCase__						):
						UpperCAmelCase__:	Optional[int]									= num_of_nodes
						UpperCAmelCase__:	list[list[int]]									= []
						UpperCAmelCase__:	dict[int, int]									= {}





					def    _UpperCAmelCase    (				self				,      lowerCamelCase__				,      lowerCamelCase__				,      lowerCamelCase__						):
						self.m_edges.append([u_node, v_node, weight]						)





					def    _UpperCAmelCase    (				self				,      lowerCamelCase__						):

						if self.m_component[u_node] == u_node:
							return u_node
						return self.find_component(self.m_component[u_node]						)





					def    _UpperCAmelCase    (				self				,      lowerCamelCase__						):

						if self.m_component[u_node] != u_node:
							for k in self.m_component:
								UpperCAmelCase__:	Optional[Any]									= self.find_component(lowerCamelCase__						)





					def    _UpperCAmelCase    (				self				,      lowerCamelCase__				,      lowerCamelCase__				,      lowerCamelCase__						):

						if component_size[u_node] <= component_size[v_node]:
							UpperCAmelCase__:	Tuple									= v_node
							component_size[v_node] += component_size[u_node]
							self.set_component(lowerCamelCase__						)

						elif component_size[u_node] >= component_size[v_node]:
							UpperCAmelCase__:	Dict									= self.find_component(lowerCamelCase__						)
							component_size[u_node] += component_size[v_node]
							self.set_component(lowerCamelCase__						)





					def    _UpperCAmelCase    (				self						):
						UpperCAmelCase__:	Dict									= []
						UpperCAmelCase__:	int									= 0

						UpperCAmelCase__:	list[Any]									= [-1] * self.m_num_of_nodes

						# A list of components (initialized to all of the nodes)
						for node in range(self.m_num_of_nodes						):
							self.m_component.update({node: node}						)
							component_size.append(1						)

						UpperCAmelCase__:	Union[str, Any]									= self.m_num_of_nodes

						while num_of_components > 1:
							for edge in self.m_edges:
								UpperCAmelCase__							,						UpperCAmelCase__							,						UpperCAmelCase__:	str									= edge

								UpperCAmelCase__:	str									= self.m_component[u]
								UpperCAmelCase__:	Optional[Any]									= self.m_component[v]

								if u_component != v_component:

									for component in (u_component, v_component):
										if (
										    minimum_weight_edge[component] == -1
										    or minimum_weight_edge[component][2] > w
										):
											UpperCAmelCase__:	List[Any]									= [u, v, w]

							for edge in minimum_weight_edge:
								if isinstance(lowerCamelCase__				,      lowerCamelCase__						):
									UpperCAmelCase__							,						UpperCAmelCase__							,						UpperCAmelCase__:	str									= edge

									UpperCAmelCase__:	str									= self.m_component[u]
									UpperCAmelCase__:	int									= self.m_component[v]

									if u_component != v_component:
										mst_weight += w
										self.union(lowerCamelCase__				,      lowerCamelCase__				,      lowerCamelCase__						)
										print(F"Added edge [{u} - {v}]\nAdded weight: {w}\n"						)
										num_of_components -= 1

							UpperCAmelCase__:	Any									= [-1] * self.m_num_of_nodes
						print(F"The total weight of the minimal spanning tree is: {mst_weight}"						)



def 			_A	(      ):
	pass


if __name__ == "__main__":
					import doctest

					doctest.testmod()