


'''simple docstring'''



from __future__ import annotations

import string
from itertools import cycle, product
from pathlib import Path

A__						:   str				=    (
    string.ascii_letters + string.digits + string.punctuation + string.whitespace
)
A__						:   list[int]				=    [ord(letter) for letter in string.ascii_lowercase]
A__						:   set[int]				=    {ord(char) for char in VALID_CHARS}

A__						:   list[str]				=    ["the", "be", "to", "of", "and", "in", "that", "have"]



def      UpperCAmelCase__   (      UpperCAmelCase_       :							list[int] ,       UpperCAmelCase_       :							tuple[int, ...]				)	->						str | None:
     __lowerCamelCase  :      str														=						""
     __lowerCamelCase  :      int
     __lowerCamelCase  :      int
     __lowerCamelCase  :      int

     for keychar, cipherchar in zip(cycle(UpperCAmelCase_				) ,       UpperCAmelCase_				):
          __lowerCamelCase  :      Union[str, Any]														=						cipherchar ^ keychar
          if decodedchar not in VALID_INTS:
               return None
          decoded += chr(UpperCAmelCase_				)

     return decoded



def      UpperCAmelCase__   (      UpperCAmelCase_       :							list[int]				)	->						list[str]:
     __lowerCamelCase  :      list[str]														=						[]
     for key in product(UpperCAmelCase_ ,       repeat=3				):
          __lowerCamelCase  :      int														=						try_key(UpperCAmelCase_ ,       UpperCAmelCase_				)
          if encoded is not None:
               possibles.append(UpperCAmelCase_				)
     return possibles



def      UpperCAmelCase__   (      UpperCAmelCase_       :							list[str] ,       UpperCAmelCase_       :							str				)	->						list[str]:
     return [possible for possible in possibles if common_word in possible.lower()]



def      UpperCAmelCase__   (      UpperCAmelCase_       :							str = "p059_cipher.txt"				)	->						int:
     __lowerCamelCase  :      list[int]
     __lowerCamelCase  :      list[str]
     __lowerCamelCase  :      str
     __lowerCamelCase  :      str
     __lowerCamelCase  :      str														=						Path(UpperCAmelCase_				).parent.joinpath(UpperCAmelCase_				).read_text(encoding='utf-8'				)

     __lowerCamelCase  :      Tuple														=						[int(UpperCAmelCase_				) for number in data.strip().split(','				)]

     __lowerCamelCase  :      Union[str, Any]														=						filter_valid_chars(UpperCAmelCase_				)
     for common_word in COMMON_WORDS:
          __lowerCamelCase  :      Any														=						filter_common_word(UpperCAmelCase_ ,       UpperCAmelCase_				)
          if len(UpperCAmelCase_				) == 1:
               break

     __lowerCamelCase  :      int														=						possibles[0]
     return sum(ord(UpperCAmelCase_				) for char in decoded_text				)


if __name__ == "__main__":
      print(f'''{solution() = }''')














import gc
import threading
import time

import psutil
import torch
class 		SCREAMING_SNAKE_CASE__	:

  '''simple docstring'''







  def __init__(      self		:			Union[str, Any]							)						->	str:


         """simple docstring"""
         _UpperCAmelCase							=    psutil.Process()
         _UpperCAmelCase							=    False


  def  lowerCamelCase       (      self		:			List[Any]							)						->	int:


         """simple docstring"""
         _UpperCAmelCase							=    -1

         while True:
                _UpperCAmelCase							=    max(self.process.memory_info().rss       ,				self.cpu_memory_peak							)

                # can't sleep or will not catch the peak right (this comment is here on purpose)
                if not self.peak_monitoring:
                       break


  def  lowerCamelCase       (      self		:			Optional[Any]							)						->	List[Any]:


         """simple docstring"""
         _UpperCAmelCase							=    True
         _UpperCAmelCase							=    threading.Thread(target=self.peak_monitor							)
         _UpperCAmelCase							=    True
         self.thread.start()





  def  lowerCamelCase       (      self		:			Optional[int]							)						->	List[str]:


         """simple docstring"""
         _UpperCAmelCase							=    False
         self.thread.join()
         return self.cpu_memory_peak



__a:     Union[str, Any]   					=					PeakCPUMemory()




def       _SCREAMING_SNAKE_CASE (							)				->						List[Any]:
       # Time
       _UpperCAmelCase							=    {"""time""": time.time()}

       gc.collect()
       torch.cuda.empty_cache()

       # CPU mem
       _UpperCAmelCase							=    psutil.Process().memory_info().rss
       cpu_peak_tracker.start()

       # GPU mem
       for i in range(torch.cuda.device_count() ):
              _UpperCAmelCase							=    torch.cuda.memory_allocated(__snake_case )
       torch.cuda.reset_peak_memory_stats()

       return measures




def       _SCREAMING_SNAKE_CASE (							__snake_case )				->						Union[str, Any]:
       # Time
       _UpperCAmelCase							=    {"""time""": time.time() - start_measures["""time"""]}

       gc.collect()
       torch.cuda.empty_cache()

       # CPU mem
       _UpperCAmelCase							=    (psutil.Process().memory_info().rss - start_measures["""cpu"""]) / 2**2_0
       _UpperCAmelCase							=    (cpu_peak_tracker.stop() - start_measures["""cpu"""]) / 2**2_0

       # GPU mem
       for i in range(torch.cuda.device_count() ):
              _UpperCAmelCase							=    (torch.cuda.memory_allocated(__snake_case ) - start_measures[str(__snake_case )]) / 2**2_0
              _UpperCAmelCase							=    (torch.cuda.max_memory_allocated(__snake_case ) - start_measures[str(__snake_case )]) / 2**2_0

       return measures





def       _SCREAMING_SNAKE_CASE (							__snake_case   ,      __snake_case )				->						str:
       print(f"""{description}:""" )
       print(f"""- Time: {measures["time"]:.2f}s""" )
       for i in range(torch.cuda.device_count() ):
              print(f"""- GPU {i} allocated: {measures[str(__snake_case )]:.2f}MiB""" )
              _UpperCAmelCase							=    measures[f"""{i}-peak"""]
              print(f"""- GPU {i} peak: {peak:.2f}MiB""" )
       print(f"""- CPU RAM allocated: {measures["cpu"]:.2f}MiB""" )
       print(f"""- CPU RAM peak: {measures["cpu-peak"]:.2f}MiB""" )