


"""simple docstring"""




import math





def       a_ (	):
			__lowerCamelCase          =      input("""Enter message: """     )
			__lowerCamelCase          =      int(input(f'Enter key [2-{len(lowercase__     ) - 1}]: '     )     )
			__lowerCamelCase          =      input("""Encryption/Decryption [e/d]: """     )

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

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





def       a_ (	lowercase__ :int,			lowercase__ :str     ):
			__lowerCamelCase          =      [""""""] * key
			for col in range(lowercase__     ):
						__lowerCamelCase          =      col
						while pointer < len(lowercase__     ):
									cipher_text[col] += message[pointer]
									pointer += key
			return "".join(lowercase__     )





def       a_ (	lowercase__ :int,			lowercase__ :str     ):
			__lowerCamelCase          =      math.ceil(len(lowercase__     ) / key     )
			__lowerCamelCase          =      key
			__lowerCamelCase          =      (num_cols * num_rows) - len(lowercase__     )
			__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(lowercase__     )


if __name__ == "__main__":
					import doctest

					doctest.testmod()
					main()








"""simple docstring"""




from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


__magic_name__						: Any    =				{'configuration_glpn': ['GLPN_PRETRAINED_CONFIG_ARCHIVE_MAP', 'GLPNConfig']}

try:
					if not is_vision_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					__magic_name__						: Dict    =				['GLPNFeatureExtractor']
					__magic_name__						: Union[str, Any]    =				['GLPNImageProcessor']

try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					__magic_name__						: int    =				[
					    'GLPN_PRETRAINED_MODEL_ARCHIVE_LIST',
					    'GLPNForDepthEstimation',
					    'GLPNLayer',
					    'GLPNModel',
					    'GLPNPreTrainedModel',
					]


if TYPE_CHECKING:
					from .configuration_glpn import GLPN_PRETRAINED_CONFIG_ARCHIVE_MAP, GLPNConfig

					try:
										if not is_vision_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .feature_extraction_glpn import GLPNFeatureExtractor
										from .image_processing_glpn import GLPNImageProcessor

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_glpn import (
										    GLPN_PRETRAINED_MODEL_ARCHIVE_LIST,
										    GLPNForDepthEstimation,
										    GLPNLayer,
										    GLPNModel,
										    GLPNPreTrainedModel,
										)


else:
					import sys

					__magic_name__						: Optional[int]    =				_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)




