





"""simple docstring"""






import os
import unittest

from transformers.models.bartpho.tokenization_bartpho import VOCAB_FILES_NAMES, BartphoTokenizer
from transformers.testing_utils import get_tests_dir

from ...test_tokenization_common import TokenizerTesterMixin


A 			=  get_tests_dir('''fixtures/test_sentencepiece_bpe.model''')




class 				__lowercase			(			_UpperCamelCase   ,      unittest.TestCase							):







					'''simple docstring'''




					__lowerCAmelCase  =  BartphoTokenizer
					__lowerCAmelCase  =  False
					__lowerCAmelCase  =  True







					def  _lowerCamelCase		(						self     ):
									super().setUp()

									__a :						Tuple			       =  ['''▁This''', '''▁is''', '''▁a''', '''▁t''', '''est''']
									__a :						Optional[Any]			       =  dict(zip(_UpperCAmelCase	,			range(len(_UpperCAmelCase     )     )     )     )
									__a :						Any			       =  {'''unk_token''': '''<unk>'''}

									__a :						Dict			       =  os.path.join(self.tmpdirname	,			VOCAB_FILES_NAMES['''monolingual_vocab_file''']     )
									with open(self.monolingual_vocab_file	,			'''w'''	,			encoding='''utf-8'''     ) as fp:
													for token in vocab_tokens:
																	fp.write(f"""{token} {vocab_tokens[token]}\n"""     )

									__a :						Optional[int]			       =  BartphoTokenizer(_UpperCAmelCase	,			self.monolingual_vocab_file	,			**self.special_tokens_map     )
									tokenizer.save_pretrained(self.tmpdirname     )







					def  _lowerCamelCase		(						self	,			**_UpperCAmelCase     ):
									kwargs.update(self.special_tokens_map     )
									return BartphoTokenizer.from_pretrained(self.tmpdirname	,			**_UpperCAmelCase     )







					def  _lowerCamelCase		(						self	,			_UpperCAmelCase     ):
									__a :						Any			       =  '''This is a là test'''
									__a :						Tuple			       =  '''This is a<unk><unk> test'''
									return input_text, output_text







					def  _lowerCamelCase		(						self     ):
									__a :						Dict			       =  BartphoTokenizer(_UpperCAmelCase	,			self.monolingual_vocab_file	,			**self.special_tokens_map     )
									__a :						List[str]			       =  '''This is a là test'''
									__a :						Optional[int]			       =  '''▁This ▁is ▁a ▁l à ▁t est'''.split()
									__a :						List[Any]			       =  tokenizer.tokenize(_UpperCAmelCase     )
									self.assertListEqual(_UpperCAmelCase	,			_UpperCAmelCase     )

									__a :						Tuple			       =  tokens + [tokenizer.unk_token]
									__a :						Dict			       =  [4, 5, 6, 3, 3, 7, 8, 3]
									self.assertListEqual(tokenizer.convert_tokens_to_ids(_UpperCAmelCase     )	,			_UpperCAmelCase     )






"""simple docstring"""






from __future__ import annotations

import typing
from collections import Counter

def     __A      (			a_						:int)		->		typing.Counter[int]:
				__a :						typing.Counter[int]			       =  Counter()
				for base in range(1   ,       max_perimeter + 1):
								for perpendicular in range(a_   ,       max_perimeter + 1):
												__a :						Any			       =  (base * base + perpendicular * perpendicular) ** 0.5
												if hypotenuse == int(a_):
																__a :						List[Any]			       =  int(base + perpendicular + hypotenuse)
																if perimeter > max_perimeter:
																				continue
																triplets[perimeter] += 1
				return triplets

def     __A      (			a_						:int = 10_00)		->		int:
				__a :						Dict			       =  pythagorean_triple(a_)
				return triplets.most_common(1)[0][0]


if __name__ == "__main__":
		print(F'Perimeter {solution()} has maximum solutions')