import string




def    lowerCAmelCase_  (		lowercase:				str		)     ->					str:







 '''simple docstring'''
 _UpperCamelCase:  Optional[Any]    						=			''''''
 for i in sequence:
  _UpperCamelCase:  Tuple    						=			ord(lowercase		)
  if 65 <= extract <= 90:
   output += chr(155 - extract		)
  elif 97 <= extract <= 122:
   output += chr(219 - extract		)
  else:
   output += i
 return output




def    lowerCAmelCase_  (		lowercase:				str		)     ->					str:







 '''simple docstring'''
 _UpperCamelCase:  Dict    						=			string.ascii_letters
 _UpperCamelCase:  Any    						=			string.ascii_lowercase[::-1] + string.ascii_uppercase[::-1]
 return "".join(
     letters_reversed[letters.index(lowercase		)] if c in letters else c for c in sequence		)




def    lowerCAmelCase_  (		)     ->					None:







 '''simple docstring'''
 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=lowercase		)} seconds"""		)
 print(F""">      atbash(): {timeit('atbash(printable)'	,       setup=lowercase		)} seconds"""		)


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

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_torch_available,
)


UpperCAmelCase_           =				{
    '''configuration_mega''': ['''MEGA_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''MegaConfig''', '''MegaOnnxConfig'''],
}

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  UpperCAmelCase_           =				[
      '''MEGA_PRETRAINED_MODEL_ARCHIVE_LIST''',
      '''MegaForCausalLM''',
      '''MegaForMaskedLM''',
      '''MegaForMultipleChoice''',
      '''MegaForQuestionAnswering''',
      '''MegaForSequenceClassification''',
      '''MegaForTokenClassification''',
      '''MegaModel''',
      '''MegaPreTrainedModel''',
  ]

if TYPE_CHECKING:
  from .configuration_mega import MEGA_PRETRAINED_CONFIG_ARCHIVE_MAP, MegaConfig, MegaOnnxConfig

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_mega import (
        MEGA_PRETRAINED_MODEL_ARCHIVE_LIST,
        MegaForCausalLM,
        MegaForMaskedLM,
        MegaForMultipleChoice,
        MegaForQuestionAnswering,
        MegaForSequenceClassification,
        MegaForTokenClassification,
        MegaModel,
        MegaPreTrainedModel,
    )

else:
  import sys

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