

'''simple docstring'''







def    UpperCAmelCase__     (   UpperCAmelCase__,							UpperCAmelCase__					)      ->      str:
       A_						       =   [[] for _ in range(UpperCAmelCase__					)]
       A_						       =   key - 1

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

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

       return output_string
def    UpperCAmelCase__     (   UpperCAmelCase__,							UpperCAmelCase__					)      ->      str:
       A_						       =   []
       A_						       =   key - 1

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

       A_						       =   [[] for _ in range(UpperCAmelCase__					)]  # generates template
       for position in range(len(UpperCAmelCase__					)					):
              A_						       =   position % (lowest * 2)  # puts it in bounds
              A_						       =   min(UpperCAmelCase__,							lowest * 2 - num					)  # creates zigzag pattern
              temp_grid[num].append("""*"""					)

       A_						       =   0
       for row in temp_grid:  # fills in the characters
              A_						       =   input_string[counter : counter + len(UpperCAmelCase__					)]
              grid.append(list(UpperCAmelCase__					)					)
              counter += len(UpperCAmelCase__					)

       A_						       =   """"""  # reads as zigzag
       for position in range(len(UpperCAmelCase__					)					):
              A_						       =   position % (lowest * 2)  # puts it in bounds
              A_						       =   min(UpperCAmelCase__,							lowest * 2 - num					)  # creates zigzag pattern
              output_string += grid[num][0]
              grid[num].pop(0					)
       return output_string
def    UpperCAmelCase__     (   UpperCAmelCase__					)      ->      dict[int, str]:
       A_						       =   {}
       for key_guess in range(1,							len(UpperCAmelCase__					)					):  # tries every key
              A_						       =   decrypt(UpperCAmelCase__,							UpperCAmelCase__					)
       return results


if __name__ == "__main__":
      import doctest

      doctest.testmod()



'''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


__lowerCamelCase									=     logging.get_logger(__name__)

__lowerCamelCase									=     {
    '''microsoft/resnet-50''': '''https://huggingface.co/microsoft/resnet-50/blob/main/config.json''',
}


class        A__   (   _snake_case    ,    _snake_case      ):
    lowercase						       =		"resnet"
    lowercase						       =		["basic", "bottleneck"]



    def __init__(       self		,					UpperCamelCase__=3		,					UpperCamelCase__=64		,					UpperCamelCase__=[256, 512, 1024, 2048]		,					UpperCamelCase__=[3, 4, 6, 3]		,					UpperCamelCase__="bottleneck"		,					UpperCamelCase__="relu"		,					UpperCamelCase__=False		,					UpperCamelCase__=None		,					UpperCamelCase__=None		,					**UpperCamelCase__		,					)    ->   List[str]:





           '''simple docstring'''
           super().__init__(**UpperCamelCase__							)
           if layer_type not in self.layer_types:
                  raise ValueError(f'''layer_type={layer_type} is not one of {",".join(self.layer_types							)}'''							)
           A_						       =   num_channels
           A_						       =   embedding_size
           A_						       =   hidden_sizes
           A_						       =   depths
           A_						       =   layer_type
           A_						       =   hidden_act
           A_						       =   downsample_in_first_stage
           A_						       =   ["""stem"""] + [f'''stage{idx}''' for idx in range(1		,					len(UpperCamelCase__							) + 1							)]
           A_       ,      A_						       =   get_aligned_output_features_output_indices(
               out_features=UpperCamelCase__		,					out_indices=UpperCamelCase__		,					stage_names=self.stage_names							)


class        A__   (   _snake_case      ):
    lowercase						       =		version.parse("1.11"      )



    @property
    def        snake_case_      (       self							)    ->   Mapping[str, Mapping[int, str]]:





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







    @property
    def        snake_case_      (       self							)    ->   float:





           '''simple docstring'''
           return 1e-3
