



import json
import os
import unittest

from transformers.models.biogpt.tokenization_biogpt import VOCAB_FILES_NAMES, BioGptTokenizer
from transformers.testing_utils import slow

from ...test_tokenization_common import TokenizerTesterMixin



class 	lowerCamelCase__      (							lowerCamelCase__				,    unittest.TestCase):




		'''simple docstring'''



		snake_case_     =BioGptTokenizer
		snake_case_     =False



		def 		lowerCAmelCase__				(self			)					->      Optional[Any]:

						"""simple docstring"""






						super().setUp()

						# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
						lowerCAmelCase__					:    str												=					[
						    '''l''',
						    '''o''',
						    '''w''',
						    '''e''',
						    '''r''',
						    '''s''',
						    '''t''',
						    '''i''',
						    '''d''',
						    '''n''',
						    '''w</w>''',
						    '''r</w>''',
						    '''t</w>''',
						    '''lo''',
						    '''low''',
						    '''er</w>''',
						    '''low</w>''',
						    '''lowest</w>''',
						    '''newer</w>''',
						    '''wider</w>''',
						    '''<unk>''',
						]
						lowerCAmelCase__					:    Optional[int]												=					dict(zip(__lowerCamelCase		,range(len(__lowerCamelCase			)			)			)			)
						lowerCAmelCase__					:    Dict												=					['''l o 123''', '''lo w 1456''', '''e r</w> 1789''', '''''']

						lowerCAmelCase__					:    List[str]												=					os.path.join(self.tmpdirname		,VOCAB_FILES_NAMES['''vocab_file''']			)
						lowerCAmelCase__					:    Optional[int]												=					os.path.join(self.tmpdirname		,VOCAB_FILES_NAMES['''merges_file''']			)
						with open(self.vocab_file		,'''w'''			) as fp:
										fp.write(json.dumps(__lowerCamelCase			)			)
						with open(self.merges_file		,'''w'''			) as fp:
										fp.write('''\n'''.join(__lowerCamelCase			)			)



		def 		lowerCAmelCase__				(self		,__lowerCamelCase			)					->      Dict:

						"""simple docstring"""






						lowerCAmelCase__					:    Tuple												=					'''lower newer'''
						lowerCAmelCase__					:    Union[str, Any]												=					'''lower newer'''
						return input_text, output_text



		def 		lowerCAmelCase__				(self			)					->      int:

						"""simple docstring"""






						lowerCAmelCase__					:    str												=					BioGptTokenizer(self.vocab_file		,self.merges_file			)

						lowerCAmelCase__					:    Optional[Any]												=					'''lower'''
						lowerCAmelCase__					:    Tuple												=					['''low''', '''er</w>''']
						lowerCAmelCase__					:    Tuple												=					tokenizer.tokenize(__lowerCamelCase			)
						self.assertListEqual(__lowerCamelCase		,__lowerCamelCase			)

						lowerCAmelCase__					:    Any												=					tokens + ['''<unk>''']
						lowerCAmelCase__					:    Union[str, Any]												=					[14, 15, 20]
						self.assertListEqual(tokenizer.convert_tokens_to_ids(__lowerCamelCase			)		,__lowerCamelCase			)



		@slow
		def 		lowerCAmelCase__				(self			)					->      str:

						"""simple docstring"""






						lowerCAmelCase__					:    str												=					BioGptTokenizer.from_pretrained('''microsoft/biogpt'''			)

						lowerCAmelCase__					:    Optional[int]												=					tokenizer.encode('''sequence builders'''		,add_special_tokens=__lowerCamelCase			)
						lowerCAmelCase__					:    Optional[Any]												=					tokenizer.encode('''multi-sequence build'''		,add_special_tokens=__lowerCamelCase			)

						lowerCAmelCase__					:    Optional[int]												=					tokenizer.build_inputs_with_special_tokens(__lowerCamelCase			)
						lowerCAmelCase__					:    int												=					tokenizer.build_inputs_with_special_tokens(__lowerCamelCase		,__lowerCamelCase			)

						self.assertTrue(encoded_sentence == [2] + text			)
						self.assertTrue(encoded_pair == [2] + text + [2] + text_a			)






def      lowerCAmelCase__		(   lowerCamelCase_		:		int = 1000):





				'''simple docstring'''

				lowerCAmelCase__						,		lowerCAmelCase__					:    int												=					1, 1
				lowerCAmelCase__					:    Any												=					2
				while True:
								lowerCAmelCase__					:    Optional[Any]												=					0
								lowerCAmelCase__					:    Any												=					fa + fa
								lowerCAmelCase__						,		lowerCAmelCase__					:    Optional[Any]												=					fa, f
								index += 1
								for _ in str(lowerCamelCase_):
												i += 1
								if i == n:
												break
				return index


if __name__ == "__main__":
							print(solution(int(str(input()).strip())))

