

"""simple docstring"""






import secrets
from random import shuffle
from string import ascii_letters, ascii_lowercase, ascii_uppercase, digits, punctuation





def 	lowercase      (   __UpperCamelCase = 8						) ->      str:
 __magic_name__     =      ascii_letters + digits + punctuation
 return "".join(secrets.choice(__UpperCamelCase						) for _ in range(__UpperCamelCase						)						)





def 	lowercase      (   __UpperCamelCase      ,   __UpperCamelCase						) ->      str:
 # Password Generator = full boot with random_number, random_letters, and
 # random_character FUNCTIONS
 # Put your code here...
 i -= len(__UpperCamelCase						)
 __magic_name__     =      i // 3
 __magic_name__     =      i % 3
 # chars = chars_incl + random_letters(ascii_letters, i / 3 + remainder) +
 #     random_number(digits, i / 3) + random_characters(punctuation, i / 3)
 __magic_name__     =      (
     chars_incl
     + random(__UpperCamelCase      ,   quotient + remainder						)
     + random(__UpperCamelCase      ,   __UpperCamelCase						)
     + random(__UpperCamelCase      ,   __UpperCamelCase						)
 )
 __magic_name__     =      list(__UpperCamelCase						)
 shuffle(__UpperCamelCase						)
 return "".join(__UpperCamelCase						)

 # random is a generalised function for letters, characters and numbers





def 	lowercase      (   __UpperCamelCase      ,   __UpperCamelCase						) ->      str:
 return "".join(secrets.choice(__UpperCamelCase						) for _ in range(__UpperCamelCase						)						)





def 	lowercase      (   __UpperCamelCase      ,   __UpperCamelCase						) ->      int:
 pass  # Put your code here...





def 	lowercase      (   __UpperCamelCase      ,   __UpperCamelCase						) ->      Dict:
 pass  # Put your code here...





def 	lowercase      (   __UpperCamelCase      ,   __UpperCamelCase						) ->      Union[str, Any]:
 pass  # Put your code here...





def 	lowercase      (   __UpperCamelCase      ,   __UpperCamelCase = 8						) ->      bool:

 if len(__UpperCamelCase						) < min_length:
  # Your Password must be at least 8 characters long
  return False

 __magic_name__     =      any(char in ascii_uppercase for char in password						)
 __magic_name__     =      any(char in ascii_lowercase for char in password						)
 __magic_name__     =      any(char in digits for char in password						)
 __magic_name__     =      any(char in punctuation for char in password						)

 return upper and lower and num and spec_char
 # Passwords should contain UPPERCASE, lowerase
 # numbers, and special characters





def 	lowercase      (   ) ->      Tuple:
 __magic_name__     =      int(input('''Please indicate the max length of your password: '''						).strip()						)
 __magic_name__     =      input(
     '''Please indicate the characters that must be in your password: '''						).strip()
 print('''Password generated:'''      ,   password_generator(__UpperCamelCase						)						)
 print(
     '''Alternative Password generated:'''      ,   alternative_password_generator(__UpperCamelCase      ,   __UpperCamelCase						)      ,   )
 print('''[If you are thinking of using this passsword, You better save it.]'''						)


if __name__ == "__main__":
 main()




"""simple docstring"""






import os
import unittest

from transformers import FunnelTokenizer, FunnelTokenizerFast
from transformers.models.funnel.tokenization_funnel import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin
@require_tokenizers
class        _lowercase					(     __UpperCAmelCase   , unittest.TestCase     ):
     _lowerCamelCase     =       FunnelTokenizer
     _lowerCamelCase     =       FunnelTokenizerFast
     _lowerCamelCase     =       True
     _lowerCamelCase     =       True







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

      __magic_name__     =      [
          '''<unk>''',
          '''<cls>''',
          '''<sep>''',
          '''want''',
          '''##want''',
          '''##ed''',
          '''wa''',
          '''un''',
          '''runn''',
          '''##ing''',
          ''',''',
          '''low''',
          '''lowest''',
      ]
      __magic_name__     =      os.path.join(self.tmpdirname ,						VOCAB_FILES_NAMES['''vocab_file''']       )
      with open(self.vocab_file ,						'''w''' ,						encoding='''utf-8'''       ) as vocab_writer:
       vocab_writer.write(''''''.join([x + '''\n''' for x in vocab_tokens]       )       )







     def 	lowerCAmelCase__    (      self ,						**UpperCamelCase_       ):
      return FunnelTokenizer.from_pretrained(self.tmpdirname ,						**UpperCamelCase_       )







     def 	lowerCAmelCase__    (      self ,						**UpperCamelCase_       ):
      return FunnelTokenizerFast.from_pretrained(self.tmpdirname ,						**UpperCamelCase_       )







     def 	lowerCAmelCase__    (      self ,						UpperCamelCase_       ):
      __magic_name__     =      '''UNwant\u00E9d,running'''
      __magic_name__     =      '''unwanted, running'''
      return input_text, output_text







     def 	lowerCAmelCase__    (      self       ):
      __magic_name__     =      self.tokenizer_class(self.vocab_file       )

      __magic_name__     =      tokenizer.tokenize('''UNwant\u00E9d,running'''       )
      self.assertListEqual(UpperCamelCase_ ,						['''un''', '''##want''', '''##ed''', ''',''', '''runn''', '''##ing''']       )
      self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCamelCase_       ) ,						[7, 4, 5, 10, 8, 9]       )







     def 	lowerCAmelCase__    (      self       ):
      __magic_name__     =      self.get_tokenizers(do_lower_case=UpperCamelCase_       )
      for tokenizer in tokenizers:
       __magic_name__     =      tokenizer('''UNwant\u00E9d,running'''       )
       __magic_name__     =      len(inputs['''input_ids''']       ) - 1
       self.assertListEqual(inputs['''token_type_ids'''] ,						[2] + [0] * sentence_len       )

       __magic_name__     =      tokenizer('''UNwant\u00E9d,running''' ,						'''UNwant\u00E9d,running'''       )
       self.assertListEqual(inputs['''token_type_ids'''] ,						[2] + [0] * sentence_len + [1] * sentence_len       )

