





def A_	(		A__		,      A__				)  ->		str:
       a__						:	list[list[str]] =				[[] for _ in range(A__				)]
       a__						:	Optional[int] =				key - 1

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

       for position, character in enumerate(A__				):
              a__						:	Union[str, Any] =				position % (lowest * 2)  # puts it in bounds
              a__						:	List[Any] =				min(A__		,      lowest * 2 - num				)  # creates zigzag pattern
              temp_grid[num].append(A__				)
       a__						:	Any =				[''.join(A__				) for row in temp_grid]
       a__						:	Optional[Any] =				''.join(A__				)

       return output_string



def A_	(		A__		,      A__				)  ->		str:
       a__						:	Optional[int] =				[]
       a__						:	str =				key - 1

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

       a__						:	list[list[str]] =				[[] for _ in range(A__				)]  # generates template
       for position in range(len(A__				)				):
              a__						:	List[Any] =				position % (lowest * 2)  # puts it in bounds
              a__						:	Tuple =				min(A__		,      lowest * 2 - num				)  # creates zigzag pattern
              temp_grid[num].append('*'				)

       a__						:	List[Any] =				0
       for row in temp_grid:  # fills in the characters
              a__						:	Optional[int] =				input_string[counter : counter + len(A__				)]
              grid.append(list(A__				)				)
              counter += len(A__				)

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



def A_	(		A__				)  ->		dict[int, str]:
       a__						:	Dict =				{}
       for key_guess in range(1		,      len(A__				)				):  # tries every key
              a__						:	Tuple =				decrypt(A__		,      A__				)
       return results


if __name__ == "__main__":
    import doctest

    doctest.testmod()









from ..utils import is_flax_available, is_torch_available


if is_torch_available():
    from .autoencoder_kl import AutoencoderKL
    from .controlnet import ControlNetModel
    from .dual_transformer_ad import DualTransformeraDModel
    from .modeling_utils import ModelMixin
    from .prior_transformer import PriorTransformer
    from .ta_film_transformer import TaFilmDecoder
    from .transformer_ad import TransformeraDModel
    from .unet_ad import UNetaDModel
    from .unet_ad import UNetaDModel
    from .unet_ad_condition import UNetaDConditionModel
    from .unet_ad_condition import UNetaDConditionModel
    from .vq_model import VQModel

if is_flax_available():
    from .controlnet_flax import FlaxControlNetModel
    from .unet_ad_condition_flax import FlaxUNetaDConditionModel
    from .vae_flax import FlaxAutoencoderKL


