


from datetime import datetime

import matplotlib.pyplot as plt
import torch







def     lowerCAmelCase_					( __lowerCamelCase     ):
							for param in module.parameters():
														__snake_case		:      Union[str, Any]										=       False







def     lowerCAmelCase_					( ):
							__snake_case		:      Optional[int]										=       "cuda" if torch.cuda.is_available() else "cpu"
							if torch.backends.mps.is_available() and torch.backends.mps.is_built():
														__snake_case		:      Union[str, Any]										=       "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_					( __lowerCamelCase     ):
							__snake_case		:      Union[str, Any]										=       plt.imshow(__lowerCamelCase     )
							fig.axes.get_xaxis().set_visible(__lowerCamelCase     )
							fig.axes.get_yaxis().set_visible(__lowerCamelCase     )
							plt.show()







def     lowerCAmelCase_					( ):
							__snake_case		:      Optional[int]										=       datetime.now()
							__snake_case		:      Any										=       current_time.strftime("%H:%M:%S"     )
							return timestamp







def     lowerCAmelCase_					( __lowerCamelCase							,     __lowerCamelCase							,     __lowerCamelCase							,     __lowerCamelCase							,     __lowerCamelCase							,     __lowerCamelCase     ):
							if index == r:
														for j in range(__lowerCamelCase     ):
																					print(data[j]							,     end=" "     )
														print(" "     )
														return
							#  When no more elements are there to put in data[]
							if i >= n:
														return
							# current is included, put next at next location
							__snake_case		:      Union[str, Any]										=       arr[i]
							combination_util(__lowerCamelCase							,     __lowerCamelCase							,     __lowerCamelCase							,     index + 1							,     __lowerCamelCase							,     i + 1     )
							# current is excluded, replace it with
							# next (Note that i+1 is passed, but
							# index is not changed)
							combination_util(__lowerCamelCase							,     __lowerCamelCase							,     __lowerCamelCase							,     __lowerCamelCase							,     __lowerCamelCase							,     i + 1     )
							# The main function that prints all combinations
							# of size r in arr[] of size n. This function
							# mainly uses combinationUtil()







def     lowerCAmelCase_					( __lowerCamelCase							,     __lowerCamelCase							,     __lowerCamelCase     ):
							# A temporary array to store all combination one by one
							__snake_case		:      Union[str, Any]										=       [0] * r
							# Print all combination using temporary array 'data[]'
							combination_util(__lowerCamelCase							,     __lowerCamelCase							,     __lowerCamelCase							,     0							,     __lowerCamelCase							,     0     )


if __name__ == "__main__":
			# Driver code to check the function above
			_snake_case					:		List[str]      =    [10, 20, 30, 40, 50]
			print_combination(arr, len(arr), 3)
			# This code is contributed by Ambuj sahu

