import os
import unittest

from transformers.models.bertweet.tokenization_bertweet import VOCAB_FILES_NAMES, BertweetTokenizer

from ...test_tokenization_common import TokenizerTesterMixin


class 						a__							(   __snake_case      ,						unittest.TestCase		):
			A__				:   Dict								=			BertweetTokenizer
			A__				:   str								=			False



			def __SCREAMING_SNAKE_CASE							(						self    ) ->    Tuple:
								super().setUp()

								# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
								__a							=   ['I', 'm', 'V@@', 'R@@', 'r', 'e@@']
								__a							=   dict(zip(UpperCAmelCase      ,						range(len(UpperCAmelCase    )    )    )    )
								__a							=   ['#version: 0.2', 'a m</w>']
								__a							=   {'unk_token': '<unk>'}

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



			def __SCREAMING_SNAKE_CASE							(						self      ,						**UpperCAmelCase    ) ->    Optional[int]:
								kwargs.update(self.special_tokens_map    )
								return BertweetTokenizer.from_pretrained(self.tmpdirname      ,						**UpperCAmelCase    )



			def __SCREAMING_SNAKE_CASE							(						self      ,						UpperCAmelCase    ) ->    Optional[int]:
								__a							=   'I am VinAI Research'
								__a							=   'I <unk> m V<unk> <unk> <unk> I Re<unk> e<unk> <unk> <unk> <unk>'
								return input_text, output_text







			def __SCREAMING_SNAKE_CASE							(						self    ) ->    List[Any]:
								__a							=   BertweetTokenizer(self.vocab_file      ,						self.merges_file      ,						**self.special_tokens_map    )
								__a							=   'I am VinAI Research'
								__a							=   'I a@@ m V@@ i@@ n@@ A@@ I R@@ e@@ s@@ e@@ a@@ r@@ c@@ h'.split()
								__a							=   tokenizer.tokenize(UpperCAmelCase    )
								self.assertListEqual(UpperCAmelCase      ,						UpperCAmelCase    )

								__a							=   tokens + [tokenizer.unk_token]

								__a							=   [4, 3, 5, 6, 3, 3, 3, 4, 7, 9, 3, 9, 3, 3, 3, 3, 3]
								self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCAmelCase    )      ,						UpperCAmelCase    )





def 							lowerCAmelCase(	__lowerCamelCase = 10**6						):

					if n <= 0:
										raise ValueError('Please enter an integer greater than 0'						)

					__a							=   list(range(n + 1						)						)
					for number in range(2      ,				n + 1						):
										if phi[number] == number:
															phi[number] -= 1
															for multiple in range(number * 2      ,				n + 1      ,				__lowerCamelCase						):
																				__a							=   (phi[multiple] // number) * (number - 1)

					__a							=   1
					for number in range(1      ,				n + 1						):
										if (answer / phi[answer]) < (number / phi[number]):
															__a							=   number

					return answer


if __name__ == "__main__":
	print(solution())




