



import os
import unittest

from transformers import LayoutLMTokenizer, LayoutLMTokenizerFast
from transformers.models.layoutlm.tokenization_layoutlm import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin

@require_tokenizers
class   _A   ( _lowercase  ,						unittest.TestCase	):


						'''simple docstring'''





						_snake_case			:     int      							=      LayoutLMTokenizer
						_snake_case			:     List[str]      							=      LayoutLMTokenizerFast
						_snake_case			:     List[str]      							=      True
						_snake_case			:     Tuple      							=      True



						def     _snake_case	(	self	:							Optional[int]	):






							'''simple docstring'''



							super().setUp()

							__lowercase		       =			[
							    "[UNK]",
							    "[CLS]",
							    "[SEP]",
							    "want",
							    "##want",
							    "##ed",
							    "wa",
							    "un",
							    "runn",
							    "##ing",
							    ",",
							    "low",
							    "lowest",
							]
							__lowercase		       =			os.path.join(self.tmpdirname							,      VOCAB_FILES_NAMES["vocab_file"]	)
							with open(self.vocab_file							,      "w"							,      encoding="utf-8"	) as vocab_writer:
								vocab_writer.write("".join([x + "\n" for x in vocab_tokens]	)	)



						def     _snake_case	(	self	:							Dict							,      **lowerCamelCase	:							Union[str, Any]	):






							'''simple docstring'''



							return LayoutLMTokenizer.from_pretrained(self.tmpdirname							,      **lowerCamelCase	)



						def     _snake_case	(	self	:							Dict							,      lowerCamelCase	:							Any	):






							'''simple docstring'''



							__lowercase		       =			"UNwant\u00E9d,running"
							__lowercase		       =			"unwanted, running"
							return input_text, output_text



						def     _snake_case	(	self	:							str	):






							'''simple docstring'''



							__lowercase		       =			self.tokenizer_class(self.vocab_file	)

							__lowercase		       =			tokenizer.tokenize("UNwant\u00E9d,running"	)
							self.assertListEqual(lowerCamelCase							,      ["un", "##want", "##ed", ",", "runn", "##ing"]	)
							self.assertListEqual(tokenizer.convert_tokens_to_ids(lowerCamelCase	)							,      [7, 4, 5, 10, 8, 9]	)



						def     _snake_case	(	self	:							Dict	):






							'''simple docstring'''



							pass








from __future__ import annotations

from typing import Any

class   _A   :


						'''simple docstring'''





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






							'''simple docstring'''



							__lowercase		       =			num_of_nodes
							__lowercase		       =			[]
							__lowercase		       =			{}



						def     _snake_case	(	self	:							Dict							,      lowerCamelCase	:							int							,      lowerCamelCase	:							int							,      lowerCamelCase	:							int	):






							'''simple docstring'''



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



						def     _snake_case	(	self	:							List[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     _snake_case	(	self	:							Union[str, Any]							,      lowerCamelCase	:							int	):






							'''simple docstring'''



							if self.m_component[u_node] != u_node:
								for k in self.m_component:
									__lowercase		       =			self.find_component(lowerCamelCase	)



						def     _snake_case	(	self	:							Union[str, Any]							,      lowerCamelCase	:							list[int]							,      lowerCamelCase	:							int							,      lowerCamelCase	:							int	):






							'''simple docstring'''



							if component_size[u_node] <= component_size[v_node]:
								__lowercase		       =			v_node
								component_size[v_node] += component_size[u_node]
								self.set_component(lowerCamelCase	)

							elif component_size[u_node] >= component_size[v_node]:
								__lowercase		       =			self.find_component(lowerCamelCase	)
								component_size[u_node] += component_size[v_node]
								self.set_component(lowerCamelCase	)



						def     _snake_case	(	self	:							Any	):






							'''simple docstring'''



							__lowercase		       =			[]
							__lowercase		       =			0

							__lowercase		       =			[-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	)

							__lowercase		       =			self.m_num_of_nodes

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

									__lowercase		       =			self.m_component[u]
									__lowercase		       =			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
											):
												__lowercase		       =			[u, v, w]

								for edge in minimum_weight_edge:
									if isinstance(lowerCamelCase							,      lowerCamelCase	):
										__lowercase       ,    __lowercase       ,    __lowercase		       =			edge

										__lowercase		       =			self.m_component[u]
										__lowercase		       =			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

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



def    snake_case_				(    ):
	pass


if __name__ == "__main__":
	import doctest

	doctest.testmod()



