"""simple docstring"""




import string

# frequency taken from https://en.wikipedia.org/wiki/Letter_frequency
_a   :	Optional[int] 					=     {
    'E': 12.70,
    'T': 9.06,
    'A': 8.17,
    'O': 7.51,
    'I': 6.97,
    'N': 6.75,
    'S': 6.33,
    'H': 6.09,
    'R': 5.99,
    'D': 4.25,
    'L': 4.03,
    'C': 2.78,
    'U': 2.76,
    'M': 2.41,
    'W': 2.36,
    'F': 2.23,
    'G': 2.02,
    'Y': 1.97,
    'P': 1.93,
    'B': 1.29,
    'V': 0.98,
    'K': 0.77,
    'J': 0.15,
    'X': 0.15,
    'Q': 0.10,
    'Z': 0.07,
}
_a   :	List[Any] 					=     'ETAOINSHRDLCUMWFGYPBVKJXQZ'
_a   :	Optional[Any] 					=     'ABCDEFGHIJKLMNOPQRSTUVWXYZ'





def 							SCREAMING_SNAKE_CASE  (    _lowerCamelCase		: str			) ->   dict[str, int]:
  _lowerCAmelCase		: Optional[int]						    =  {letter: 0 for letter in string.ascii_uppercase}
  for letter in message.upper():
    if letter in LETTERS:
      letter_count[letter] += 1

  return letter_count





def 							SCREAMING_SNAKE_CASE  (    _lowerCamelCase		: tuple			) ->   str:
  return x[0]





def 							SCREAMING_SNAKE_CASE  (    _lowerCamelCase		: str			) ->   str:
  _lowerCAmelCase		: Any						    =  get_letter_count(_lowerCamelCase			)
  _lowerCAmelCase		: dict[int, list[str]]						    =  {
      freq: [] for letter, freq in letter_to_freq.items()
  }
  for letter in LETTERS:
    freq_to_letter[letter_to_freq[letter]].append(_lowerCamelCase			)

  _lowerCAmelCase		: dict[int, str]						    =  {}

  for freq in freq_to_letter:
    freq_to_letter[freq].sort(key=ETAOIN.find    ,reverse=_lowerCamelCase			)
    _lowerCAmelCase		: Dict						    =  """""".join(freq_to_letter[freq]			)

  _lowerCAmelCase		: str						    =  list(freq_to_letter_str.items()			)
  freq_pairs.sort(key=_lowerCamelCase    ,reverse=_lowerCamelCase			)

  _lowerCAmelCase		: list[str]						    =  [freq_pair[1] for freq_pair in freq_pairs]

  return "".join(_lowerCamelCase			)





def 							SCREAMING_SNAKE_CASE  (    _lowerCamelCase		: str			) ->   int:
  _lowerCAmelCase		: Union[str, Any]						    =  get_frequency_order(_lowerCamelCase			)
  _lowerCAmelCase		: Union[str, Any]						    =  0
  for common_letter in ETAOIN[:6]:
    if common_letter in freq_order[:6]:
      match_score += 1

  for uncommon_letter in ETAOIN[-6:]:
    if uncommon_letter in freq_order[-6:]:
      match_score += 1

  return match_score


if __name__ == "__main__":
     import doctest

     doctest.testmod()





"""simple docstring"""




import pickle
import unittest

import torch

from accelerate import Accelerator
from accelerate.state import AcceleratorState
from accelerate.test_utils import require_cpu
@require_cpu
class 		__A							(				unittest.TestCase	):






     def 					__A						(	self						):
       _lowerCAmelCase		: str						    =  torch.nn.Linear(10       ,  10						)
       _lowerCAmelCase		: Optional[Any]						    =  torch.optim.SGD(model.parameters()       ,  0.1						)
       _lowerCAmelCase		: Optional[Any]						    =  Accelerator()
       _lowerCAmelCase		: Tuple						    =  accelerator.prepare(a__						)
       try:
         pickle.loads(pickle.dumps(a__						)						)
       except Exception as e:
         self.fail(F"Accelerated optimizer pickling failed with {e}"						)
       AcceleratorState._reset_state()




