

"""simple docstring"""






from datetime import datetime

import matplotlib.pyplot as plt
import torch

def 		lowerCamelCase__		(					_lowerCamelCase   ):

    '''simple docstring'''



    for param in module.parameters():
        _lowerCAmelCase       :   Any  =    False

def 		lowerCamelCase__		(					):

    '''simple docstring'''



    _lowerCAmelCase       :   str  =    'cuda' if torch.cuda.is_available() else 'cpu'
    if torch.backends.mps.is_available() and torch.backends.mps.is_built():
        _lowerCAmelCase       :   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   ):

    '''simple docstring'''



    _lowerCAmelCase       :   str  =    plt.imshow(_lowerCamelCase   )
    fig.axes.get_xaxis().set_visible(_lowerCamelCase   )
    fig.axes.get_yaxis().set_visible(_lowerCamelCase   )
    plt.show()

def 		lowerCamelCase__		(					):

    '''simple docstring'''



    _lowerCAmelCase       :   Any  =    datetime.now()
    _lowerCAmelCase       :   List[str]  =    current_time.strftime('%H:%M:%S'   )
    return timestamp








"""simple docstring"""






import baseaa

def 		lowerCamelCase__		(					_lowerCamelCase   ):

    '''simple docstring'''



    return baseaa.aaaencode(string.encode('utf-8'   )   )

def 		lowerCamelCase__		(					_lowerCamelCase   ):

    '''simple docstring'''



    return baseaa.aaadecode(_lowerCamelCase   ).decode('utf-8'   )


if __name__ == "__main__":
 import doctest

 doctest.testmod()





