import gc
import threading
import time

import psutil
import torch





class UpperCAmelCase						:


				'''simple docstring'''






				def __init__(						self ):



						"""simple docstring"""





						A_		:    Optional[Any]         =				psutil.Process()
						A_		:    Optional[Any]         =				False
				def   lowerCAmelCase_       (						self ):



						"""simple docstring"""





						A_		:    Dict         =				-1

						while True:
								A_		:    Optional[int]         =				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 ):



						"""simple docstring"""





						A_		:    Dict         =				True
						A_		:    Tuple         =				threading.Thread(target=self.peak_monitor )
						A_		:    Union[str, Any]         =				True
						self.thread.start()







				def   lowerCAmelCase_       (						self ):



						"""simple docstring"""





						A_		:    int         =				False
						self.thread.join()
						return self.cpu_memory_peak

_UpperCAmelCase            =		PeakCPUMemory()




def     UpperCamelCase						(	):
		'''simple docstring'''




		A_		:    Any         =				{'time': time.time()}

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

		# CPU mem
		A_		:    Optional[int]         =				psutil.Process().memory_info().rss
		cpu_peak_tracker.start()

		# GPU mem
		for i in range(torch.cuda.device_count()     ):
				A_		:    List[Any]         =				torch.cuda.memory_allocated(__lowercase     )
		torch.cuda.reset_peak_memory_stats()

		return measures




def     UpperCamelCase						(	__lowercase						:			Optional[int]     ):
		'''simple docstring'''




		A_		:    Union[str, Any]         =				{'time': time.time() - start_measures['time']}

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

		# CPU mem
		A_		:    Tuple         =				(psutil.Process().memory_info().rss - start_measures['cpu']) / 2**20
		A_		:    Optional[Any]         =				(cpu_peak_tracker.stop() - start_measures['cpu']) / 2**20

		# GPU mem
		for i in range(torch.cuda.device_count()     ):
				A_		:    List[Any]         =				(torch.cuda.memory_allocated(__lowercase     ) - start_measures[str(__lowercase     )]) / 2**20
				A_		:    Union[str, Any]         =				(torch.cuda.max_memory_allocated(__lowercase     ) - start_measures[str(__lowercase     )]) / 2**20

		return measures




def     UpperCamelCase						(	__lowercase						:			Union[str, Any]						,__lowercase						:			int     ):
		'''simple docstring'''




		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(__lowercase     )]:.2f}MiB'''     )
				A_		:    Dict         =				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'''     )







_UpperCAmelCase            =		"""ABCDEFGHIJKLMNOPQRSTUVWXYZ"""




def     UpperCamelCase						(	):
		'''simple docstring'''




		A_		:    Tuple         =				input('Enter message: '     )
		A_		:    int         =				input('Enter key [alphanumeric]: '     )
		A_		:    Optional[Any]         =				input('Encrypt/Decrypt [e/d]: '     )

		if mode.lower().startswith('e'     ):
				A_		:    List[Any]         =				'encrypt'
				A_		:    int         =				encrypt_message(__lowercase						,__lowercase     )
		elif mode.lower().startswith('d'     ):
				A_		:    Optional[Any]         =				'decrypt'
				A_		:    Dict         =				decrypt_message(__lowercase						,__lowercase     )

		print(f'''\n{mode.title()}ed message:'''     )
		print(__lowercase     )




def     UpperCamelCase						(	__lowercase						:			str						,__lowercase						:			str     ):
		'''simple docstring'''




		return translate_message(__lowercase						,__lowercase						,'encrypt'     )




def     UpperCamelCase						(	__lowercase						:			str						,__lowercase						:			str     ):
		'''simple docstring'''




		return translate_message(__lowercase						,__lowercase						,'decrypt'     )




def     UpperCamelCase						(	__lowercase						:			str						,__lowercase						:			str						,__lowercase						:			str     ):
		'''simple docstring'''




		A_		:    Tuple         =				[]
		A_		:    str         =				0
		A_		:    Optional[int]         =				key.upper()

		for symbol in message:
				A_		:    Optional[Any]         =				LETTERS.find(symbol.upper()     )
				if num != -1:
						if mode == "encrypt":
								num += LETTERS.find(key[key_index]     )
						elif mode == "decrypt":
								num -= LETTERS.find(key[key_index]     )

						num %= len(__lowercase     )

						if symbol.isupper():
								translated.append(LETTERS[num]     )
						elif symbol.islower():
								translated.append(LETTERS[num].lower()     )

						key_index += 1
						if key_index == len(__lowercase     ):
								A_		:    str         =				0
				else:
						translated.append(__lowercase     )
		return "".join(__lowercase     )


if __name__ == "__main__":
	main()






