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     lowerCAmelCase_     (       __lowercase,  unittest.TestCase ):
							UpperCAmelCase				   =     LayoutLMTokenizer
							UpperCAmelCase				   =     LayoutLMTokenizerFast
							UpperCAmelCase				   =     True
							UpperCAmelCase				   =     True







							def  UpperCamelCase_						(   self      :     List[Any]		):
												super().setUp()

												_UpperCamelCase			     =     [
												    '''[UNK]''',
												    '''[CLS]''',
												    '''[SEP]''',
												    '''want''',
												    '''##want''',
												    '''##ed''',
												    '''wa''',
												    '''un''',
												    '''runn''',
												    '''##ing''',
												    ''',''',
												    '''low''',
												    '''lowest''',
												]
												_UpperCamelCase			     =     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  UpperCamelCase_						(   self      :     Optional[int] ,			**_A      :     Union[str, Any]		):
												return LayoutLMTokenizer.from_pretrained(self.tmpdirname ,			**_A		)







							def  UpperCamelCase_						(   self      :     int ,			_A      :     Any		):
												_UpperCamelCase			     =     '''UNwant\u00E9d,running'''
												_UpperCamelCase			     =     '''unwanted, running'''
												return input_text, output_text







							def  UpperCamelCase_						(   self      :     Any		):
												_UpperCamelCase			     =     self.tokenizer_class(self.vocab_file		)

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







							def  UpperCamelCase_						(   self      :     List[str]		):
												pass

import math
class     lowerCAmelCase_     :







							def __init__(   self      :     Tuple ,			_A      :     int=0		):  # a graph with Node 0,1,...,N-1
												_UpperCamelCase			     =     n
												_UpperCamelCase			     =     [
												    [math.inf for j in range(0 ,			_A		)] for i in range(0 ,			_A		)
												]  # adjacency matrix for weight
												_UpperCamelCase			     =     [
												    [math.inf for j in range(0 ,			_A		)] for i in range(0 ,			_A		)
												]  # dp[i][j] stores minimum distance from i to j







							def  UpperCamelCase_						(   self      :     Dict ,			_A      :     str ,			_A      :     List[str] ,			_A      :     Optional[Any]		):
												_UpperCamelCase			     =     w







							def  UpperCamelCase_						(   self      :     Optional[int]		):
												for k in range(0 ,			self.n		):
																	for i in range(0 ,			self.n		):
																						for j in range(0 ,			self.n		):
																											_UpperCamelCase			     =     min(self.dp[i][j] ,			self.dp[i][k] + self.dp[k][j]		)







							def  UpperCamelCase_						(   self      :     List[str] ,			_A      :     Optional[int] ,			_A      :     Optional[int]		):
												return self.dp[u][v]


if __name__ == "__main__":
					_lowerCAmelCase       =		Graph(5)
					graph.add_edge(0, 2, 9)
					graph.add_edge(0, 4, 10)
					graph.add_edge(1, 3, 5)
					graph.add_edge(2, 3, 7)
					graph.add_edge(3, 0, 10)
					graph.add_edge(3, 1, 2)
					graph.add_edge(3, 2, 1)
					graph.add_edge(3, 4, 6)
					graph.add_edge(4, 1, 3)
					graph.add_edge(4, 2, 4)
					graph.add_edge(4, 3, 9)
					graph.floyd_warshall()
					graph.show_min(1, 4)
					graph.show_min(0, 3)
