






'''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


UpperCAmelCase__						:List[str]          =			logging.get_logger(__name__)

UpperCAmelCase__						:Optional[int]          =			{
    """facebook/data2vec-vision-base-ft""": (
        """https://huggingface.co/facebook/data2vec-vision-base-ft/resolve/main/config.json"""
    ),
}







class 	SCREAMING_SNAKE_CASE	(      UpperCAmelCase__  ):
       snake_case__    :     List[Any]   		=			"data2vec-vision"




       def __init__(					self      : Any	,    A__      : List[str]=768	,    A__      : Optional[Any]=12	,    A__      : List[str]=12	,    A__      : Optional[Any]=3072	,    A__      : Dict="gelu"	,    A__      : List[Any]=0.0	,    A__      : str=0.0	,    A__      : List[str]=0.02	,    A__      : Any=1e-1_2	,    A__      : Any=224	,    A__      : Dict=16	,    A__      : Optional[Any]=3	,    A__      : str=False	,    A__      : Optional[int]=False	,    A__      : Optional[Any]=False	,    A__      : int=False	,    A__      : List[Any]=0.1	,    A__      : Dict=0.1	,    A__      : str=True	,    A__      : int=[3, 5, 7, 11]	,    A__      : Optional[Any]=[1, 2, 3, 6]	,    A__      : List[Any]=True	,    A__      : Optional[Any]=0.4	,    A__      : Dict=256	,    A__      : Optional[int]=1	,    A__      : List[str]=False	,    A__      : Dict=255	,    **A__      : List[Any]	,    ):


            """simple docstring"""







            super().__init__(**lowerCamelCase__					)

            __lowerCamelCase						:       Tuple				   =				hidden_size
            __lowerCamelCase						:       int				   =				num_hidden_layers
            __lowerCamelCase						:       List[Any]				   =				num_attention_heads
            __lowerCamelCase						:       Tuple				   =				intermediate_size
            __lowerCamelCase						:       Dict				   =				hidden_act
            __lowerCamelCase						:       Union[str, Any]				   =				hidden_dropout_prob
            __lowerCamelCase						:       Optional[Any]				   =				attention_probs_dropout_prob
            __lowerCamelCase						:       List[str]				   =				initializer_range
            __lowerCamelCase						:       Optional[Any]				   =				layer_norm_eps

            __lowerCamelCase						:       Tuple				   =				image_size
            __lowerCamelCase						:       Optional[Any]				   =				patch_size
            __lowerCamelCase						:       Dict				   =				num_channels
            __lowerCamelCase						:       Union[str, Any]				   =				use_mask_token
            __lowerCamelCase						:       List[Any]				   =				use_absolute_position_embeddings
            __lowerCamelCase						:       Union[str, Any]				   =				use_relative_position_bias
            __lowerCamelCase						:       Any				   =				use_shared_relative_position_bias
            __lowerCamelCase						:       List[str]				   =				layer_scale_init_value
            __lowerCamelCase						:       Dict				   =				drop_path_rate
            __lowerCamelCase						:       List[Any]				   =				use_mean_pooling
            # decode head attributes (semantic segmentation)
            __lowerCamelCase						:       Dict				   =				out_indices
            __lowerCamelCase						:       Any				   =				pool_scales
            # auxiliary head attributes (semantic segmentation)
            __lowerCamelCase						:       Union[str, Any]				   =				use_auxiliary_head
            __lowerCamelCase						:       Optional[int]				   =				auxiliary_loss_weight
            __lowerCamelCase						:       List[str]				   =				auxiliary_channels
            __lowerCamelCase						:       List[Any]				   =				auxiliary_num_convs
            __lowerCamelCase						:       Optional[Any]				   =				auxiliary_concat_input
            __lowerCamelCase						:       List[Any]				   =				semantic_loss_ignore_index







class 	SCREAMING_SNAKE_CASE	(      UpperCAmelCase__  ):
       snake_case__    :     Any   		=			version.parse('1.11'  )




       @property
       def 					a_					(					self      : Optional[int]					):


            """simple docstring"""







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




       @property
       def 					a_					(					self      : Dict					):


            """simple docstring"""







            return 1e-4











'''simple docstring'''

import math
def     __lowercase  ()   ->     None:


     """simple docstring"""
     __lowerCamelCase						:       Optional[int]				   =				input("""Enter message: """     )
     __lowerCamelCase						:       Optional[Any]				   =				int(input(f"Enter key [2-{len(_lowercase     ) - 1}]: "     )     )
     __lowerCamelCase						:       Dict				   =				input("""Encryption/Decryption [e/d]: """     )

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

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


     """simple docstring"""
     __lowerCamelCase						:       int				   =				[""""""] * key
     for col in range(_lowercase     ):
          __lowerCamelCase						:       Optional[Any]				   =				col
          while pointer < len(_lowercase     ):
               cipher_text[col] += message[pointer]
               pointer += key
     return "".join(_lowercase     )
def     __lowercase  (_lowercase,						_lowercase     )   ->     str:


     """simple docstring"""
     __lowerCamelCase						:       List[str]				   =				math.ceil(len(_lowercase     ) / key     )
     __lowerCamelCase						:       List[str]				   =				key
     __lowerCamelCase						:       Tuple				   =				(num_cols * num_rows) - len(_lowercase     )
     __lowerCamelCase						:       List[str]				   =				[""""""] * num_cols
     __lowerCamelCase						:       List[str]				   =				0
     __lowerCamelCase						:       List[Any]				   =				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						:       int				   =				0
               row += 1

     return "".join(_lowercase     )


if __name__ == "__main__":
   import doctest

   doctest.testmod()
   main()



