





"""simple docstring"""






def       __lowerCamelCase    (       SCREAMING_SNAKE_CASE							)		->       Union[str, Any]:






       """simple docstring"""




       _UpperCAmelCase     =     0
       while num > 0:
              digit_sum += num % 10
              num //= 10
       return digit_sum

def       __lowerCamelCase    (       SCREAMING_SNAKE_CASE = 100							)		->       Union[str, Any]:






       """simple docstring"""




       _UpperCAmelCase     =     1
       _UpperCAmelCase     =     2

       for i in range(2,max_n + 1							):
              _UpperCAmelCase     =     pre_numerator
              _UpperCAmelCase     =     2 * i // 3 if i % 3 == 0 else 1
              _UpperCAmelCase     =     cur_numerator
              _UpperCAmelCase     =     e_cont * pre_numerator + temp

       return sum_digits(__snake_case							)


if __name__ == "__main__":
   print(F'''{solution() = }''')













"""simple docstring"""






from datetime import datetime

import matplotlib.pyplot as plt
import torch

def       __lowerCamelCase    (       SCREAMING_SNAKE_CASE							)		->       Any:






       """simple docstring"""




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

def       __lowerCamelCase    (       )		->       Dict:






       """simple docstring"""




       _UpperCAmelCase     =     'cuda' if torch.cuda.is_available() else 'cpu'
       if torch.backends.mps.is_available() and torch.backends.mps.is_built():
              _UpperCAmelCase     =     '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    (       SCREAMING_SNAKE_CASE							)		->       str:






       """simple docstring"""




       _UpperCAmelCase     =     plt.imshow(SCREAMING_SNAKE_CASE							)
       fig.axes.get_xaxis().set_visible(SCREAMING_SNAKE_CASE							)
       fig.axes.get_yaxis().set_visible(SCREAMING_SNAKE_CASE							)
       plt.show()


def       __lowerCamelCase    (       )		->       Dict:






       """simple docstring"""




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






