





"""simple docstring"""


import string

def      UpperCamelCase							(SCREAMING_SNAKE_CASE     ):
						UpperCamelCase				:		Union[str, Any]				   =			""""""
						for i in sequence:
												UpperCamelCase				:		Dict				   =			ord(SCREAMING_SNAKE_CASE     )
												if 65 <= extract <= 90:
																		output += chr(155 - extract     )
												elif 97 <= extract <= 122:
																		output += chr(219 - extract     )
												else:
																		output += i
						return output

def      UpperCamelCase							(SCREAMING_SNAKE_CASE     ):
						UpperCamelCase				:		Optional[Any]				   =			string.ascii_letters
						UpperCamelCase				:		Dict				   =			string.ascii_lowercase[::-1] + string.ascii_uppercase[::-1]
						return "".join(
						    letters_reversed[letters.index(SCREAMING_SNAKE_CASE     )] if c in letters else c for c in sequence     )

def      UpperCamelCase							():
						from timeit import timeit

						print("""Running performance benchmarks..."""     )
						UpperCamelCase				:		Any				   =			"""from string import printable ; from __main__ import atbash, atbash_slow"""
						print(f"""> atbash_slow(): {timeit("atbash_slow(printable)"							,     setup=SCREAMING_SNAKE_CASE     )} seconds"""     )
						print(f""">      atbash(): {timeit("atbash(printable)"							,     setup=SCREAMING_SNAKE_CASE     )} 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

# rely on isort to merge the imports
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


__snake_case						  =		{"""configuration_focalnet""": ["""FOCALNET_PRETRAINED_CONFIG_ARCHIVE_MAP""", """FocalNetConfig"""]}


try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       __snake_case						  =		[
           """FOCALNET_PRETRAINED_MODEL_ARCHIVE_LIST""",
           """FocalNetForImageClassification""",
           """FocalNetForMaskedImageModeling""",
           """FocalNetBackbone""",
           """FocalNetModel""",
           """FocalNetPreTrainedModel""",
       ]

if TYPE_CHECKING:
       from .configuration_focalnet import FOCALNET_PRETRAINED_CONFIG_ARCHIVE_MAP, FocalNetConfig

       try:
              if not is_torch_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_focalnet import (
                  FOCALNET_PRETRAINED_MODEL_ARCHIVE_LIST,
                  FocalNetBackbone,
                  FocalNetForImageClassification,
                  FocalNetForMaskedImageModeling,
                  FocalNetModel,
                  FocalNetPreTrainedModel,
              )

else:
       import sys

       __snake_case						  =		_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)

