





'''simple docstring'''






import json
import os
import unittest

from transformers.models.ctrl.tokenization_ctrl import VOCAB_FILES_NAMES, CTRLTokenizer

from ...test_tokenization_common import TokenizerTesterMixin







class 		UpperCAmelCase   (				lowercase_   ,     unittest.TestCase):


  """simple docstring"""







  lowerCAmelCase_					=				CTRLTokenizer
  lowerCAmelCase_					=				False
  lowerCAmelCase_					=				False


  def   UpperCamelCase__      (				self    :					Dict  )     ->						str:
    super().setUp()

    # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
    _UpperCamelCase       			=['''adapt''', '''re@@''', '''a@@''', '''apt''', '''c@@''', '''t''', '''<unk>''']
    _UpperCamelCase       			=dict(zip(UpperCamelCase__							,	range(len(UpperCamelCase__  )  )  )  )
    _UpperCamelCase       			=['''#version: 0.2''', '''a p''', '''ap t</w>''', '''r e''', '''a d''', '''ad apt</w>''', '''''']
    _UpperCamelCase       			={'''unk_token''': '''<unk>'''}

    _UpperCamelCase       			=os.path.join(self.tmpdirname							,	VOCAB_FILES_NAMES['''vocab_file''']  )
    _UpperCamelCase       			=os.path.join(self.tmpdirname							,	VOCAB_FILES_NAMES['''merges_file''']  )
    with open(self.vocab_file							,	'''w'''							,	encoding='''utf-8'''  ) as fp:
      fp.write(json.dumps(UpperCamelCase__  ) + '''\n'''  )
    with open(self.merges_file							,	'''w'''							,	encoding='''utf-8'''  ) as fp:
      fp.write('''\n'''.join(UpperCamelCase__  )  )


  def   UpperCamelCase__      (				self    :					Dict							,	**UpperCamelCase__    :					List[Any]  )     ->						str:
    kwargs.update(self.special_tokens_map  )
    return CTRLTokenizer.from_pretrained(self.tmpdirname							,	**UpperCamelCase__  )


  def   UpperCamelCase__      (				self    :					Union[str, Any]							,	UpperCamelCase__    :					Optional[int]  )     ->						Any:
    _UpperCamelCase       			='''adapt react readapt apt'''
    _UpperCamelCase       			='''adapt react readapt apt'''
    return input_text, output_text




  def   UpperCamelCase__      (				self    :					Dict  )     ->						Optional[Any]:
    _UpperCamelCase       			=CTRLTokenizer(self.vocab_file							,	self.merges_file							,	**self.special_tokens_map  )
    _UpperCamelCase       			='''adapt react readapt apt'''
    _UpperCamelCase       			='''adapt re@@ a@@ c@@ t re@@ adapt apt'''.split()
    _UpperCamelCase       			=tokenizer.tokenize(UpperCamelCase__  )
    self.assertListEqual(UpperCamelCase__							,	UpperCamelCase__  )

    _UpperCamelCase       			=tokens + [tokenizer.unk_token]

    _UpperCamelCase       			=[0, 1, 2, 4, 5, 1, 0, 3, 6]
    self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCamelCase__  )							,	UpperCamelCase__  )













'''simple docstring'''






def 					_a   (__SCREAMING_SNAKE_CASE  ,      __SCREAMING_SNAKE_CASE   ):


  """simple docstring"""

  _UpperCamelCase       			=[[] for _ in range(__SCREAMING_SNAKE_CASE   )]
  _UpperCamelCase       			=key - 1

  if key <= 0:
    raise ValueError('''Height of grid can\'t be 0 or negative'''   )
  if key == 1 or len(__SCREAMING_SNAKE_CASE   ) <= key:
    return input_string

  for position, character in enumerate(__SCREAMING_SNAKE_CASE   ):
    _UpperCamelCase       			=position % (lowest * 2)  # puts it in bounds
    _UpperCamelCase       			=min(__SCREAMING_SNAKE_CASE  ,      lowest * 2 - num   )  # creates zigzag pattern
    temp_grid[num].append(__SCREAMING_SNAKE_CASE   )
  _UpperCamelCase       			=[''''''.join(__SCREAMING_SNAKE_CASE   ) for row in temp_grid]
  _UpperCamelCase       			=''''''.join(__SCREAMING_SNAKE_CASE   )

  return output_string


def 					_a   (__SCREAMING_SNAKE_CASE  ,      __SCREAMING_SNAKE_CASE   ):


  """simple docstring"""

  _UpperCamelCase       			=[]
  _UpperCamelCase       			=key - 1

  if key <= 0:
    raise ValueError('''Height of grid can\'t be 0 or negative'''   )
  if key == 1:
    return input_string

  _UpperCamelCase       			=[[] for _ in range(__SCREAMING_SNAKE_CASE   )]  # generates template
  for position in range(len(__SCREAMING_SNAKE_CASE   )   ):
    _UpperCamelCase       			=position % (lowest * 2)  # puts it in bounds
    _UpperCamelCase       			=min(__SCREAMING_SNAKE_CASE  ,      lowest * 2 - num   )  # creates zigzag pattern
    temp_grid[num].append('''*'''   )

  _UpperCamelCase       			=0
  for row in temp_grid:  # fills in the characters
    _UpperCamelCase       			=input_string[counter : counter + len(__SCREAMING_SNAKE_CASE   )]
    grid.append(list(__SCREAMING_SNAKE_CASE   )   )
    counter += len(__SCREAMING_SNAKE_CASE   )

  _UpperCamelCase       			=''''''  # reads as zigzag
  for position in range(len(__SCREAMING_SNAKE_CASE   )   ):
    _UpperCamelCase       			=position % (lowest * 2)  # puts it in bounds
    _UpperCamelCase       			=min(__SCREAMING_SNAKE_CASE  ,      lowest * 2 - num   )  # creates zigzag pattern
    output_string += grid[num][0]
    grid[num].pop(0   )
  return output_string


def 					_a   (__SCREAMING_SNAKE_CASE   ):


  """simple docstring"""

  _UpperCamelCase       			={}
  for key_guess in range(1  ,      len(__SCREAMING_SNAKE_CASE   )   ):  # tries every key
    _UpperCamelCase       			=decrypt(__SCREAMING_SNAKE_CASE  ,      __SCREAMING_SNAKE_CASE   )
  return results


if __name__ == "__main__":
      import doctest

      doctest.testmod()






