



"""simple docstring"""


import string

def  _lowerCAmelCase      (   lowercase_						):
						UpperCAmelCase             = ''
						for i in sequence:
												UpperCAmelCase             = 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_						):
						UpperCAmelCase             = string.ascii_letters
						UpperCAmelCase             = 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      (   ):
						from timeit import timeit

						print('Running performance benchmarks...'						)
						UpperCAmelCase             = '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()










'''simple docstring'''


_lowerCamelCase	:       int      	=	"0.21.0"

from .accelerator import Accelerator
from .big_modeling import (
    cpu_offload,
    cpu_offload_with_hook,
    disk_offload,
    dispatch_model,
    init_empty_weights,
    init_on_device,
    load_checkpoint_and_dispatch,
)
from .data_loader import skip_first_batches
from .launchers import debug_launcher, notebook_launcher
from .state import PartialState
from .utils import (
    DeepSpeedPlugin,
    DistributedDataParallelKwargs,
    DistributedType,
    FullyShardedDataParallelPlugin,
    GradScalerKwargs,
    InitProcessGroupKwargs,
    find_executable_batch_size,
    infer_auto_device_map,
    is_rich_available,
    load_checkpoint_in_model,
    synchronize_rng_states,
)


if is_rich_available():
   from .utils import rich

