

from __future__ import annotations

def       __snake_case						( __UpperCamelCase	: list[int]    ):  # This function is recursive



      """simple docstring"""

      A_						  =				len(__UpperCamelCase    )
      # If the array contains only one element, we return it (it's the stop condition of
      # recursion)
      if array_length <= 1:
            return array
            # Else
      A_						  =				array[0]
      A_						  =				False
      A_						  =				1
      A_						  =				[]
      while not is_found and i < array_length:
            if array[i] < pivot:
                  A_						  =				True
                  A_						  =				[element for element in array[i:] if element >= array[i]]
                  A_						  =				longest_subsequence(__UpperCamelCase    )
                  if len(__UpperCamelCase    ) > len(__UpperCamelCase    ):
                        A_						  =				temp_array
            else:
                  i += 1

      A_						  =				[element for element in array[1:] if element >= pivot]
      A_						  =				[pivot, *longest_subsequence(__UpperCamelCase    )]
      if len(__UpperCamelCase    ) > len(__UpperCamelCase    ):
            return temp_array
      else:
            return longest_subseq


if __name__ == "__main__":
      import doctest

      doctest.testmod()





"""simple docstring"""

from datetime import datetime

import matplotlib.pyplot as plt
import torch






def 		_snake_case	(   _snake_case				:   Dict				)       ->   Optional[Any]:






      '''simple docstring'''


      for param in module.parameters():
            _A     =  False






def 		_snake_case	(   )       ->   Tuple:






      '''simple docstring'''


      _A     =  'cuda' if torch.cuda.is_available() else 'cpu'
      if torch.backends.mps.is_available() and torch.backends.mps.is_built():
            _A     =  'mps'
      if device == "mps":
            print(
                'WARNING: MPS currently doesn\'t seem to work, and messes up backpropagation without any visible torch'
                ' errors. I recommend using CUDA on a colab notebook or CPU instead if you\'re facing inexplicable issues'
                ' with generations.'				)
      return device






def 		_snake_case	(   _snake_case				:   Dict				)       ->   Optional[Any]:






      '''simple docstring'''


      _A     =  plt.imshow(_snake_case				)
      fig.axes.get_xaxis().set_visible(_snake_case				)
      fig.axes.get_yaxis().set_visible(_snake_case				)
      plt.show()







def 		_snake_case	(   )       ->   Optional[Any]:






      '''simple docstring'''


      _A     =  datetime.now()
      _A     =  current_time.strftime('%H:%M:%S'				)
      return timestamp

