"""simple docstring"""




import math







def 				_UpperCAmelCase		(							):





		"""simple docstring"""




		lowerCAmelCase__   = input("""Enter message: """  )
		lowerCAmelCase__   = int(input(f"""Enter key [2-{len(lowerCamelCase__  ) - 1}]: """  )  )
		lowerCAmelCase__   = input("""Encryption/Decryption [e/d]: """  )

		if mode.lower().startswith("""e"""  ):
				lowerCAmelCase__   = encrypt_message(lowerCamelCase__      ,	lowerCamelCase__  )
		elif mode.lower().startswith("""d"""  ):
				lowerCAmelCase__   = decrypt_message(lowerCamelCase__      ,	lowerCamelCase__  )

		# Append pipe symbol (vertical bar) to identify spaces at the end.
		print(f"""Output:\n{text + '|'}"""  )







def 				_UpperCAmelCase		(							lowerCamelCase__      ,	lowerCamelCase__  ):





		"""simple docstring"""




		lowerCAmelCase__   = [""""""] * key
		for col in range(lowerCamelCase__  ):
				lowerCAmelCase__   = col
				while pointer < len(lowerCamelCase__  ):
						cipher_text[col] += message[pointer]
						pointer += key
		return "".join(lowerCamelCase__  )







def 				_UpperCAmelCase		(							lowerCamelCase__      ,	lowerCamelCase__  ):





		"""simple docstring"""




		lowerCAmelCase__   = math.ceil(len(lowerCamelCase__  ) / key  )
		lowerCAmelCase__   = key
		lowerCAmelCase__   = (num_cols * num_rows) - len(lowerCamelCase__  )
		lowerCAmelCase__   = [""""""] * num_cols
		lowerCAmelCase__   = 0
		lowerCAmelCase__   = 0

		for symbol in message:
				plain_text[col] += symbol
				col += 1

				if (
				    (col == num_cols)
				    or (col == num_cols - 1)
				    and (row >= num_rows - num_shaded_boxes)
				):
						lowerCAmelCase__   = 0
						row += 1

		return "".join(lowerCamelCase__  )


if __name__ == "__main__":
			import doctest

			doctest.testmod()
			main()





"""simple docstring"""




import torch
from torch import nn
from transformers import CLIPPreTrainedModel, CLIPVisionModel

from ...models.attention import BasicTransformerBlock
from ...utils import logging


__lowerCAmelCase     :				int    				=    logging.get_logger(__name__)  # pylint: disable=invalid-name

class    a_   (  __UpperCamelCase      ):




					def __init__(						self    :  Optional[int]	,    snake_case__    :  Any	,    snake_case__    :  Union[str, Any]=768  ):
							super().__init__(snake_case__  )
							lowerCAmelCase__   = proj_size

							lowerCAmelCase__   = CLIPVisionModel(snake_case__  )
							lowerCAmelCase__   = PaintByExampleMapper(snake_case__  )
							lowerCAmelCase__   = nn.LayerNorm(config.hidden_size  )
							lowerCAmelCase__   = nn.Linear(config.hidden_size	,    self.proj_size  )

							# uncondition for scaling
							lowerCAmelCase__   = nn.Parameter(torch.randn((1, 1, self.proj_size)  )  )




					def     _SCREAMING_SNAKE_CASE    (						self    :  List[Any]	,    snake_case__    :  Optional[int]	,    snake_case__    :  Optional[Any]=False  ):
							lowerCAmelCase__   = self.model(pixel_values=snake_case__  )
							lowerCAmelCase__   = clip_output.pooler_output
							lowerCAmelCase__   = self.mapper(latent_states[:, None]  )
							lowerCAmelCase__   = self.final_layer_norm(snake_case__  )
							lowerCAmelCase__   = self.proj_out(snake_case__  )
							if return_uncond_vector:
									return latent_states, self.uncond_vector

							return latent_states

class    a_   (  nn.Module      ):




					def __init__(						self    :  int	,    snake_case__    :  Dict  ):
							super().__init__()
							lowerCAmelCase__   = (config.num_hidden_layers + 1) // 5
							lowerCAmelCase__   = config.hidden_size
							lowerCAmelCase__   = 1
							lowerCAmelCase__   = nn.ModuleList(
							    [
							        BasicTransformerBlock(snake_case__	,    snake_case__	,    snake_case__	,    activation_fn="""gelu"""	,    attention_bias=snake_case__  )
							        for _ in range(snake_case__  )
							    ]  )




					def     _SCREAMING_SNAKE_CASE    (						self    :  int	,    snake_case__    :  Optional[int]  ):
							for block in self.blocks:
									lowerCAmelCase__   = block(snake_case__  )

							return hidden_states




