


'''simple docstring'''
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_  (     UpperCAmelCase      ,							unittest.TestCase	):
       __UpperCAmelCase					=BioGptTokenizer
       __UpperCAmelCase					=False






       def   UpperCamelCase						( self   )->      List[str]:
            super().setUp()

            # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
            _A				=							[
                '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>',
            ]
            _A				=							dict(zip(_UpperCamelCase			,     range(len(_UpperCamelCase   )   )   )   )
            _A				=							['l o 123', 'lo w 1456', 'e r</w> 1789', '']

            _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'   ) as fp:
                 fp.write(json.dumps(_UpperCamelCase   )   )
            with open(self.merges_file			,     'w'   ) as fp:
                 fp.write('\n'.join(_UpperCamelCase   )   )






       def   UpperCamelCase						( self			,     _UpperCamelCase   )->      List[str]:
            _A				=							'lower newer'
            _A				=							'lower newer'
            return input_text, output_text






       def   UpperCamelCase						( self   )->      str:
            _A				=							BioGptTokenizer(self.vocab_file			,     self.merges_file   )

            _A				=							'lower'
            _A				=							['low', 'er</w>']
            _A				=							tokenizer.tokenize(_UpperCamelCase   )
            self.assertListEqual(_UpperCamelCase			,     _UpperCamelCase   )

            _A				=							tokens + ['<unk>']
            _A				=							[14, 15, 20]
            self.assertListEqual(tokenizer.convert_tokens_to_ids(_UpperCamelCase   )			,     _UpperCamelCase   )






       @slow
       def   UpperCamelCase						( self   )->      Optional[Any]:
            _A				=							BioGptTokenizer.from_pretrained('microsoft/biogpt'   )

            _A				=							tokenizer.encode('sequence builders'			,     add_special_tokens=_UpperCamelCase   )
            _A				=							tokenizer.encode('multi-sequence build'			,     add_special_tokens=_UpperCamelCase   )

            _A				=							tokenizer.build_inputs_with_special_tokens(_UpperCamelCase   )
            _A				=							tokenizer.build_inputs_with_special_tokens(_UpperCamelCase			,     _UpperCamelCase   )

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









'''simple docstring'''
def 					lowerCamelCase_ ( __UpperCamelCase					:       int		)					->	bool:







     """simple docstring"""
     return str(__UpperCamelCase		) == str(__UpperCamelCase		)[::-1]

def 					lowerCamelCase_ ( __UpperCamelCase					:       int		)					->	int:







     """simple docstring"""
     return int(__UpperCamelCase		) + int(str(__UpperCamelCase		)[::-1]		)

def 					lowerCamelCase_ ( __UpperCamelCase					:       int = 1_0_0_0_0		)					->	int:







     """simple docstring"""
     _A				=							[]
     for num in range(1							,    __UpperCamelCase		):
          _A				=							0
          _A				=							num
          while iterations < 5_0:
               _A				=							sum_reverse(__UpperCamelCase		)
               iterations += 1
               if is_palindrome(__UpperCamelCase		):
                    break
          else:
               lychrel_nums.append(__UpperCamelCase		)
     return len(__UpperCamelCase		)


if __name__ == "__main__":
    print(F'{solution() = }')





