


"""simple docstring"""







def      lowercase			(				A_  ,   A_       )->      str:
  '''simple docstring'''







  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      lowercase			(				A_  ,   A_       )->      str:
  '''simple docstring'''







  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      lowercase			(				A_       )->      dict[int, str]:
  '''simple docstring'''







  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 typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowercase      :       List[Any]									=  {
    """configuration_nllb_moe""": [
        """NLLB_MOE_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """NllbMoeConfig""",
    ]
}

try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    lowercase      :       Dict									=  [
        """NLLB_MOE_PRETRAINED_MODEL_ARCHIVE_LIST""",
        """NllbMoeForConditionalGeneration""",
        """NllbMoeModel""",
        """NllbMoePreTrainedModel""",
        """NllbMoeTop2Router""",
        """NllbMoeSparseMLP""",
    ]


if TYPE_CHECKING:
    from .configuration_nllb_moe import (
        NLLB_MOE_PRETRAINED_CONFIG_ARCHIVE_MAP,
        NllbMoeConfig,
    )

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_nllb_moe import (
            NLLB_MOE_PRETRAINED_MODEL_ARCHIVE_LIST,
            NllbMoeForConditionalGeneration,
            NllbMoeModel,
            NllbMoePreTrainedModel,
            NllbMoeSparseMLP,
            NllbMoeTopaRouter,
        )


else:
    import sys

    lowercase      :       List[Any]									=  _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)


