





from datetime import datetime

import matplotlib.pyplot as plt
import torch






def 							_lowerCAmelCase (  _a   :					Optional[Any]			)	->			Union[str, Any]:
     for param in module.parameters():
          lowerCAmelCase_					:       Union[str, Any]    =		False






def 							_lowerCAmelCase (  )	->			Dict:
     lowerCAmelCase_					:       List[Any]    =		"""cuda""" if torch.cuda.is_available() else """cpu"""
     if torch.backends.mps.is_available() and torch.backends.mps.is_built():
          lowerCAmelCase_					:       Optional[int]    =		"""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 							_lowerCAmelCase (  _a   :					Any			)	->			Tuple:
     lowerCAmelCase_					:       Dict    =		plt.imshow(_a			)
     fig.axes.get_xaxis().set_visible(_a			)
     fig.axes.get_yaxis().set_visible(_a			)
     plt.show()







def 							_lowerCAmelCase (  )	->			List[Any]:
     lowerCAmelCase_					:       Tuple    =		datetime.now()
     lowerCAmelCase_					:       Tuple    =		current_time.strftime("""%H:%M:%S"""			)
     return timestamp







from __future__ import annotations






def 							_lowerCAmelCase (  _a   :					list[int]			)	->			list[int]:  # This function is recursive
     lowerCAmelCase_					:       List[Any]    =		len(_a			)
     # If the array contains only one element, we return it (it's the stop condition of
     # recursion)
     if array_length <= 1:
          return array
          # Else
     lowerCAmelCase_					:       Union[str, Any]    =		array[0]
     lowerCAmelCase_					:       str    =		False
     lowerCAmelCase_					:       Optional[int]    =		1
     lowerCAmelCase_					:       list[int]    =		[]
     while not is_found and i < array_length:
          if array[i] < pivot:
               lowerCAmelCase_					:       Optional[Any]    =		True
               lowerCAmelCase_					:       Tuple    =		[element for element in array[i:] if element >= array[i]]
               lowerCAmelCase_					:       Any    =		longest_subsequence(_a			)
               if len(_a			) > len(_a			):
                    lowerCAmelCase_					:       List[Any]    =		temp_array
          else:
               i += 1

     lowerCAmelCase_					:       Tuple    =		[element for element in array[1:] if element >= pivot]
     lowerCAmelCase_					:       List[Any]    =		[pivot, *longest_subsequence(_a			)]
     if len(_a			) > len(_a			):
          return temp_array
     else:
          return longest_subseq


if __name__ == "__main__":
      import doctest

      doctest.testmod()
