"""simple docstring"""




from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging
from ...utils.backbone_utils import BackboneConfigMixin, get_aligned_output_features_output_indices


_a				:		Any	   =       logging.get_logger(__name__)

_a				:		Optional[Any]	   =       {
    'microsoft/resnet-50': 'https://huggingface.co/microsoft/resnet-50/blob/main/config.json',
}
class 						__A							(			SCREAMING_SNAKE_CASE_   ,     SCREAMING_SNAKE_CASE_		):
     _UpperCamelCase							:      Dict		 =		"resnet"
     _UpperCamelCase							:      Any		 =		["basic", "bottleneck"]






     def __init__(		self    ,					a__=3    ,					a__=64    ,					a__=[256, 512, 1024, 2048]    ,					a__=[3, 4, 6, 3]    ,					a__="bottleneck"    ,					a__="relu"    ,					a__=False    ,					a__=None    ,					a__=None    ,					**a__    ,					):
       super().__init__(**a__  )
       if layer_type not in self.layer_types:
         raise ValueError(F"layer_type={layer_type} is not one of {','.join(self.layer_types  )}"  )
       _lowerCAmelCase						:	Dict        =					num_channels
       _lowerCAmelCase						:	Optional[Any]        =					embedding_size
       _lowerCAmelCase						:	List[str]        =					hidden_sizes
       _lowerCAmelCase						:	Dict        =					depths
       _lowerCAmelCase						:	Union[str, Any]        =					layer_type
       _lowerCAmelCase						:	Dict        =					hidden_act
       _lowerCAmelCase						:	Tuple        =					downsample_in_first_stage
       _lowerCAmelCase						:	int        =					["""stem"""] + [F"stage{idx}" for idx in range(1    ,					len(a__  ) + 1  )]
       _lowerCAmelCase      ,     _lowerCAmelCase						:	Union[str, Any]        =					get_aligned_output_features_output_indices(
           out_features=a__    ,					out_indices=a__    ,					stage_names=self.stage_names  )







class 						__A							(			SCREAMING_SNAKE_CASE_		):
     _UpperCamelCase							:      List[str]		 =		version.parse("1.11"		)






     @property
     def    __A  (		self  ):
       return OrderedDict(
           [
               ("""pixel_values""", {0: """batch""", 1: """num_channels""", 2: """height""", 3: """width"""}),
           ]  )






     @property
     def    __A  (		self  ):
       return 1e-3





"""simple docstring"""




import math





def 							SCREAMING_SNAKE_CASE					(      )	->				None:
  _lowerCAmelCase						:	Any        =					input("""Enter message: """     )
  _lowerCAmelCase						:	List[Any]        =					int(input(f"Enter key [2-{len(_lowerCamelCase     ) - 1}]: "     )     )
  _lowerCAmelCase						:	Optional[Any]        =					input("""Encryption/Decryption [e/d]: """     )

  if mode.lower().startswith("""e"""     ):
    _lowerCAmelCase						:	Tuple        =					encrypt_message(_lowerCamelCase      ,_lowerCamelCase     )
  elif mode.lower().startswith("""d"""     ):
    _lowerCAmelCase						:	Dict        =					decrypt_message(_lowerCamelCase      ,_lowerCamelCase     )

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





def 							SCREAMING_SNAKE_CASE					(      _lowerCamelCase						:	int      ,_lowerCamelCase						:	str     )	->				str:
  _lowerCAmelCase						:	Dict        =					[""""""] * key
  for col in range(_lowerCamelCase     ):
    _lowerCAmelCase						:	List[str]        =					col
    while pointer < len(_lowerCamelCase     ):
      cipher_text[col] += message[pointer]
      pointer += key
  return "".join(_lowerCamelCase     )





def 							SCREAMING_SNAKE_CASE					(      _lowerCamelCase						:	int      ,_lowerCamelCase						:	str     )	->				str:
  _lowerCAmelCase						:	str        =					math.ceil(len(_lowerCamelCase     ) / key     )
  _lowerCAmelCase						:	Union[str, Any]        =					key
  _lowerCAmelCase						:	Any        =					(num_cols * num_rows) - len(_lowerCamelCase     )
  _lowerCAmelCase						:	Dict        =					[""""""] * num_cols
  _lowerCAmelCase						:	Optional[Any]        =					0
  _lowerCAmelCase						:	Dict        =					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						:	str        =					0
      row += 1

  return "".join(_lowerCamelCase     )


if __name__ == "__main__":
     import doctest

     doctest.testmod()
     main()




