



"""simple docstring"""






import json
import os
import unittest

from transformers.models.xlm.tokenization_xlm import VOCAB_FILES_NAMES, XLMTokenizer
from transformers.testing_utils import slow

from ...test_tokenization_common import TokenizerTesterMixin






class 	__snake_case	(     _lowercase  ,					unittest.TestCase):
  snake_case__    :       List[Any]        =						XLMTokenizer
  snake_case__    :       Union[str, Any]        =						False




  def 						SCREAMING_SNAKE_CASE    (			self					:						int		):






         """simple docstring"""






         super().setUp()

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

         _lowerCamelCase						:    Tuple         =			os.path.join(self.tmpdirname						, VOCAB_FILES_NAMES['''vocab_file''']		)
         _lowerCamelCase						:    List[Any]         =			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 						SCREAMING_SNAKE_CASE    (			self					:						Union[str, Any]						, __lowerCAmelCase					:						Tuple		):






         """simple docstring"""






         _lowerCamelCase						:    List[str]         =			'''lower newer'''
         _lowerCamelCase						:    List[Any]         =			'''lower newer'''
         return input_text, output_text




  def 						SCREAMING_SNAKE_CASE    (			self					:						Any		):






         """simple docstring"""






         _lowerCamelCase						:    List[Any]         =			XLMTokenizer(self.vocab_file						, self.merges_file		)

         _lowerCamelCase						:    Dict         =			'''lower'''
         _lowerCamelCase						:    Union[str, Any]         =			['''low''', '''er</w>''']
         _lowerCamelCase						:    List[str]         =			tokenizer.tokenize(__lowerCAmelCase		)
         self.assertListEqual(__lowerCAmelCase						, __lowerCAmelCase		)

         _lowerCamelCase						:    Optional[int]         =			tokens + ['''<unk>''']
         _lowerCamelCase						:    Any         =			[1_4, 1_5, 2_0]
         self.assertListEqual(tokenizer.convert_tokens_to_ids(__lowerCAmelCase		)						, __lowerCAmelCase		)




  @slow
  def 						SCREAMING_SNAKE_CASE    (			self					:						Optional[int]		):






         """simple docstring"""






         _lowerCamelCase						:    Optional[int]         =			XLMTokenizer.from_pretrained('''xlm-mlm-en-2048'''		)

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

         _lowerCamelCase						:    int         =			tokenizer.build_inputs_with_special_tokens(__lowerCAmelCase		)
         _lowerCamelCase						:    List[str]         =			tokenizer.build_inputs_with_special_tokens(__lowerCAmelCase						, __lowerCAmelCase		)

         assert encoded_sentence == [0] + text + [1]
         assert encoded_pair == [0] + text + [1] + text_a + [1]







"""simple docstring"""






def 	snake_case_  (				A_ :		int						):


       '''simple docstring'''





       return 1 if digit in (0, 1) else (digit * factorial(digit - 1						))






def 	snake_case_  (				A_ :		int						):


       '''simple docstring'''





       _lowerCamelCase						:    str         =			0
       _lowerCamelCase						:    Any         =			number
       while duplicate > 0:
              _lowerCamelCase      ,   _lowerCamelCase						:    Union[str, Any]         =			divmod(A_,    10						)
              fact_sum += factorial(A_						)
       return fact_sum == number


if __name__ == "__main__":
   print('''Program to check whether a number is a Krisnamurthy Number or not.''')
   lowerCAmelCase__      =    int(input('''Enter number: ''').strip())
   print(
       F"""{number} is {"" if krishnamurthy(number) else "not "}a Krishnamurthy Number."""
   )


