




def 					UpperCAmelCase__     (   lowerCamelCase,	lowerCamelCase      ):
  lowercase			:list[list[str]]							=  [[] for _ in range(lowerCamelCase      )]
  lowercase			:Union[str, Any]							=  key - 1

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

  for position, character in enumerate(lowerCamelCase      ):
    lowercase			:Optional[Any]							=  position % (lowest * 2)  # puts it in bounds
    lowercase			:int							=  min(lowerCamelCase,	lowest * 2 - num      )  # creates zigzag pattern
    temp_grid[num].append(lowerCamelCase      )
  lowercase			:Optional[int]							=  ["".join(lowerCamelCase      ) for row in temp_grid]
  lowercase			:Tuple							=  "".join(lowerCamelCase      )

  return output_string



def 					UpperCAmelCase__     (   lowerCamelCase,	lowerCamelCase      ):
  lowercase			:Tuple							=  []
  lowercase			:List[str]							=  key - 1

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

  lowercase			:list[list[str]]							=  [[] for _ in range(lowerCamelCase      )]  # generates template
  for position in range(len(lowerCamelCase      )      ):
    lowercase			:int							=  position % (lowest * 2)  # puts it in bounds
    lowercase			:Tuple							=  min(lowerCamelCase,	lowest * 2 - num      )  # creates zigzag pattern
    temp_grid[num].append("*"      )

  lowercase			:Union[str, Any]							=  0
  for row in temp_grid:  # fills in the characters
    lowercase			:Union[str, Any]							=  input_string[counter : counter + len(lowerCamelCase      )]
    grid.append(list(lowerCamelCase      )      )
    counter += len(lowerCamelCase      )

  lowercase			:Optional[Any]							=  ""  # reads as zigzag
  for position in range(len(lowerCamelCase      )      ):
    lowercase			:int							=  position % (lowest * 2)  # puts it in bounds
    lowercase			:int							=  min(lowerCamelCase,	lowest * 2 - num      )  # creates zigzag pattern
    output_string += grid[num][0]
    grid[num].pop(0      )
  return output_string



def 					UpperCAmelCase__     (   lowerCamelCase      ):
  lowercase			:Any							=  {}
  for key_guess in range(1,	len(lowerCamelCase      )      ):  # tries every key
    lowercase			:Dict							=  decrypt(lowerCamelCase,	lowerCamelCase      )
  return results


if __name__ == "__main__":
     import doctest

     doctest.testmod()









from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


_UpperCAmelCase		:  List[str]	=   {
    "configuration_blenderbot": [
        "BLENDERBOT_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "BlenderbotConfig",
        "BlenderbotOnnxConfig",
    ],
    "tokenization_blenderbot": ["BlenderbotTokenizer"],
}

try:
     if not is_tokenizers_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     _UpperCAmelCase		:  Optional[int]	=   ["BlenderbotTokenizerFast"]

try:
     if not is_torch_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     _UpperCAmelCase		:  int	=   [
         "BLENDERBOT_PRETRAINED_MODEL_ARCHIVE_LIST",
         "BlenderbotForCausalLM",
         "BlenderbotForConditionalGeneration",
         "BlenderbotModel",
         "BlenderbotPreTrainedModel",
     ]


try:
     if not is_tf_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     _UpperCAmelCase		:  Any	=   [
         "TFBlenderbotForConditionalGeneration",
         "TFBlenderbotModel",
         "TFBlenderbotPreTrainedModel",
     ]


try:
     if not is_flax_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     _UpperCAmelCase		:  Optional[int]	=   [
         "FlaxBlenderbotForConditionalGeneration",
         "FlaxBlenderbotModel",
         "FlaxBlenderbotPreTrainedModel",
     ]


if TYPE_CHECKING:
     from .configuration_blenderbot import (
         BLENDERBOT_PRETRAINED_CONFIG_ARCHIVE_MAP,
         BlenderbotConfig,
         BlenderbotOnnxConfig,
     )
     from .tokenization_blenderbot import BlenderbotTokenizer

     try:
          if not is_tokenizers_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .tokenization_blenderbot_fast import BlenderbotTokenizerFast

     try:
          if not is_torch_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_blenderbot import (
              BLENDERBOT_PRETRAINED_MODEL_ARCHIVE_LIST,
              BlenderbotForCausalLM,
              BlenderbotForConditionalGeneration,
              BlenderbotModel,
              BlenderbotPreTrainedModel,
          )

     try:
          if not is_tf_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_tf_blenderbot import (
              TFBlenderbotForConditionalGeneration,
              TFBlenderbotModel,
              TFBlenderbotPreTrainedModel,
          )

     try:
          if not is_flax_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_flax_blenderbot import (
              FlaxBlenderbotForConditionalGeneration,
              FlaxBlenderbotModel,
              FlaxBlenderbotPreTrainedModel,
          )

else:
     import sys

     _UpperCAmelCase		:  Union[str, Any]	=   _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)



