




"""simple docstring"""




import string
def   lowerCAmelCase						(					__UpperCamelCase      ):
 '''simple docstring'''





 UpperCAmelCase__					:  Optional[int]					   =					""""""
 for i in sequence:
  UpperCAmelCase__					:  Tuple					   =					ord(__UpperCamelCase      )
  if 65 <= extract <= 90:
   output += chr(155 - extract      )
  elif 97 <= extract <= 122:
   output += chr(219 - extract      )
  else:
   output += i
 return output
def   lowerCAmelCase						(					__UpperCamelCase      ):
 '''simple docstring'''





 UpperCAmelCase__					:  Tuple					   =					string.ascii_letters
 UpperCAmelCase__					:  int					   =					string.ascii_lowercase[::-1] + string.ascii_uppercase[::-1]
 return "".join(
     letters_reversed[letters.index(__UpperCamelCase      )] if c in letters else c for c in sequence      )
def   lowerCAmelCase						(					):
 '''simple docstring'''





 from timeit import timeit

 print("""Running performance benchmarks..."""      )
 UpperCAmelCase__					:  Dict					   =					"""from string import printable ; from __main__ import atbash, atbash_slow"""
 print(F"> atbash_slow(): {timeit('atbash_slow(printable)'							,    setup=__UpperCamelCase      )} seconds"      )
 print(F">      atbash(): {timeit('atbash(printable)'							,    setup=__UpperCamelCase      )} seconds"      )


if __name__ == "__main__":
      for example in ("ABCDEFGH", "123GGjj", "testStringtest", "with space"):
            print(F"{example} encrypted in atbash: {atbash(example)}")
      benchmark()








"""simple docstring"""




from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


__UpperCAmelCase =				{
    'configuration_table_transformer': [
        'TABLE_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'TableTransformerConfig',
        'TableTransformerOnnxConfig',
    ]
}

try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      __UpperCAmelCase =				[
          'TABLE_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST',
          'TableTransformerForObjectDetection',
          'TableTransformerModel',
          'TableTransformerPreTrainedModel',
      ]


if TYPE_CHECKING:
      from .configuration_table_transformer import (
          TABLE_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
          TableTransformerConfig,
          TableTransformerOnnxConfig,
      )

      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_table_transformer import (
                TABLE_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
                TableTransformerForObjectDetection,
                TableTransformerModel,
                TableTransformerPreTrainedModel,
            )

else:
      import sys

      __UpperCAmelCase =				_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)





