



"""simple docstring"""





def 	UpperCAmelCase     (		A	:						str     ,				A	:						Any       )     ->   Dict:

		'''simple docstring'''


		_UpperCAmelCase							 =		[[] for _ in range(__snake_case       )]
		_UpperCAmelCase							 =		key - 1

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

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

		return output_string




def 	UpperCAmelCase     (		A	:						List[Any]     ,				A	:						Optional[int]       )     ->   Optional[int]:

		'''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(__snake_case       )]  # generates template
		for position in range(len(__snake_case       )       ):
				_UpperCAmelCase							 =		position % (lowest * 2)  # puts it in bounds
				_UpperCAmelCase							 =		min(__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(__snake_case       )]
				grid.append(list(__snake_case       )       )
				counter += len(__snake_case       )

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




def 	UpperCAmelCase     (		A	:						str       )     ->   List[str]:

		'''simple docstring'''


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


if __name__ == "__main__":
					import doctest

					doctest.testmod()







"""simple docstring"""





from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowercase  							=					{
    '''configuration_clipseg''': [
        '''CLIPSEG_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''CLIPSegConfig''',
        '''CLIPSegTextConfig''',
        '''CLIPSegVisionConfig''',
    ],
    '''processing_clipseg''': ['''CLIPSegProcessor'''],
}

try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					lowercase  							=					[
					    '''CLIPSEG_PRETRAINED_MODEL_ARCHIVE_LIST''',
					    '''CLIPSegModel''',
					    '''CLIPSegPreTrainedModel''',
					    '''CLIPSegTextModel''',
					    '''CLIPSegVisionModel''',
					    '''CLIPSegForImageSegmentation''',
					]

if TYPE_CHECKING:
					from .configuration_clipseg import (
					    CLIPSEG_PRETRAINED_CONFIG_ARCHIVE_MAP,
					    CLIPSegConfig,
					    CLIPSegTextConfig,
					    CLIPSegVisionConfig,
					)
					from .processing_clipseg import CLIPSegProcessor

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_clipseg import (
										    CLIPSEG_PRETRAINED_MODEL_ARCHIVE_LIST,
										    CLIPSegForImageSegmentation,
										    CLIPSegModel,
										    CLIPSegPreTrainedModel,
										    CLIPSegTextModel,
										    CLIPSegVisionModel,
										)

else:
					import sys

					lowercase  							=					_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)


