





'''simple docstring'''




from __future__ import annotations

from typing import Any




class      UpperCamelCase__					:




					"""simple docstring"""


					def __init__(						self				:			Optional[int]      ,						lowerCamelCase_				:			int						):

							'''simple docstring'''



							SCREAMING_SNAKE_CASE :				Optional[int]		=			num_of_nodes
							SCREAMING_SNAKE_CASE :				list[list[int]]		=			[]
							SCREAMING_SNAKE_CASE :				dict[int, int]		=			{}


					def lowerCamelCase_			(						self				:			str      ,						lowerCamelCase_				:			int      ,						lowerCamelCase_				:			int      ,						lowerCamelCase_				:			int						):

							'''simple docstring'''



							self.m_edges.append([u_node, v_node, weight]						)


					def lowerCamelCase_			(						self				:			Union[str, Any]      ,						lowerCamelCase_				:			int						):

							'''simple docstring'''



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


					def lowerCamelCase_			(						self				:			Dict      ,						lowerCamelCase_				:			int						):

							'''simple docstring'''



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


					def lowerCamelCase_			(						self				:			List[Any]      ,						lowerCamelCase_				:			list[int]      ,						lowerCamelCase_				:			int      ,						lowerCamelCase_				:			int						):

							'''simple docstring'''



							if component_size[u_node] <= component_size[v_node]:
									SCREAMING_SNAKE_CASE :				Dict		=			v_node
									component_size[v_node] += component_size[u_node]
									self.set_component(lowerCamelCase_						)

							elif component_size[u_node] >= component_size[v_node]:
									SCREAMING_SNAKE_CASE :				Optional[int]		=			self.find_component(lowerCamelCase_						)
									component_size[u_node] += component_size[v_node]
									self.set_component(lowerCamelCase_						)



					def lowerCamelCase_			(						self				:			List[Any]						):

							'''simple docstring'''



							SCREAMING_SNAKE_CASE :				Optional[int]		=			[]
							SCREAMING_SNAKE_CASE :				str		=			0

							SCREAMING_SNAKE_CASE :				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						)

							SCREAMING_SNAKE_CASE :				Dict		=			self.m_num_of_nodes

							while num_of_components > 1:
									for edge in self.m_edges:
											SCREAMING_SNAKE_CASE,							SCREAMING_SNAKE_CASE,							SCREAMING_SNAKE_CASE :				Optional[Any]		=			edge

											SCREAMING_SNAKE_CASE :				Tuple		=			self.m_component[u]
											SCREAMING_SNAKE_CASE :				int		=			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
															):
																	SCREAMING_SNAKE_CASE :				List[Any]		=			[u, v, w]

									for edge in minimum_weight_edge:
											if isinstance(lowerCamelCase_      ,						lowerCamelCase_						):
													SCREAMING_SNAKE_CASE,							SCREAMING_SNAKE_CASE,							SCREAMING_SNAKE_CASE :				List[str]		=			edge

													SCREAMING_SNAKE_CASE :				Union[str, Any]		=			self.m_component[u]
													SCREAMING_SNAKE_CASE :				Any		=			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

									SCREAMING_SNAKE_CASE :				List[str]		=			[-1] * self.m_num_of_nodes
							print(f'''The total weight of the minimal spanning tree is: {mst_weight}'''						)







def 		__A		(  ):


		"""simple docstring"""





if __name__ == "__main__":
							import doctest

							doctest.testmod()










'''simple docstring'''




from ...configuration_utils import PretrainedConfig
from ...utils import logging


__UpperCAmelCase            =       logging.get_logger(__name__)

__UpperCAmelCase            =       {
    """google/fnet-base""": """https://huggingface.co/google/fnet-base/resolve/main/config.json""",
    """google/fnet-large""": """https://huggingface.co/google/fnet-large/resolve/main/config.json"""
    # See all FNet models at https://huggingface.co/models?filter=fnet
}




class      UpperCamelCase__					(					lowercase_			):




					"""simple docstring"""
					SCREAMING_SNAKE_CASE__				=	'''fnet'''


					def __init__(						self				:			Any      ,						lowerCamelCase_				:			List[str]=3_20_00      ,						lowerCamelCase_				:			List[Any]=7_68      ,						lowerCamelCase_				:			Union[str, Any]=12      ,						lowerCamelCase_				:			Optional[Any]=30_72      ,						lowerCamelCase_				:			Optional[Any]="gelu_new"      ,						lowerCamelCase_				:			Any=0.1      ,						lowerCamelCase_				:			Union[str, Any]=5_12      ,						lowerCamelCase_				:			Optional[int]=4      ,						lowerCamelCase_				:			Optional[int]=0.02      ,						lowerCamelCase_				:			str=1e-12      ,						lowerCamelCase_				:			Any=False      ,						lowerCamelCase_				:			str=5_12      ,						lowerCamelCase_				:			str=3      ,						lowerCamelCase_				:			int=1      ,						lowerCamelCase_				:			Optional[Any]=2      ,						**lowerCamelCase_				:			Optional[int]      ,						):

							'''simple docstring'''



							super().__init__(pad_token_id=lowerCamelCase_      ,						bos_token_id=lowerCamelCase_      ,						eos_token_id=lowerCamelCase_      ,						**lowerCamelCase_						)

							SCREAMING_SNAKE_CASE :				Dict		=			vocab_size
							SCREAMING_SNAKE_CASE :				Dict		=			max_position_embeddings
							SCREAMING_SNAKE_CASE :				str		=			hidden_size
							SCREAMING_SNAKE_CASE :				Optional[Any]		=			num_hidden_layers
							SCREAMING_SNAKE_CASE :				Union[str, Any]		=			intermediate_size
							SCREAMING_SNAKE_CASE :				int		=			hidden_act
							SCREAMING_SNAKE_CASE :				Dict		=			hidden_dropout_prob
							SCREAMING_SNAKE_CASE :				Tuple		=			initializer_range
							SCREAMING_SNAKE_CASE :				List[Any]		=			type_vocab_size
							SCREAMING_SNAKE_CASE :				Any		=			layer_norm_eps
							SCREAMING_SNAKE_CASE :				int		=			use_tpu_fourier_optimizations
							SCREAMING_SNAKE_CASE :				List[Any]		=			tpu_short_seq_length



