






from __future__ import annotations






def 							lowerCamelCase__ (       __lowerCamelCase     :	str						):
  return [ord(UpperCamelCase__						) - 96 for elem in plain]






def 							lowerCamelCase__ (       __lowerCamelCase     :	list[int]						):
  return "".join(chr(elem + 96						) for elem in encoded						)






def 							lowerCamelCase__ (       ):
  __UpperCAmelCase				:      Dict	 =    encode(input("""-> """						).strip().lower()						)
  print("""Encoded: """    ,						UpperCamelCase__						)
  print("""Decoded:"""    ,						decode(UpperCamelCase__						)						)


if __name__ == "__main__":
       main()






_lowercase							:   Dict						=						"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



