
"""simple docstring"""



import os
from math import logaa
def 					lowerCamelCase   (     _snake_case = "base_exp.txt" ):
    UpperCAmelCase__	:      float     							=					0
    UpperCAmelCase__	:      Union[str, Any]     							=					0
    for i, line in enumerate(open(os.path.join(os.path.dirname(_snake_case )    ,_snake_case ) ) ):
        UpperCAmelCase__							,							UpperCAmelCase__	:      Dict     							=					list(map(_snake_case    ,line.split(',' ) ) )
        if x * logaa(_snake_case ) > largest:
            UpperCAmelCase__	:      List[str]     							=					x * logaa(_snake_case )
            UpperCAmelCase__	:      List[str]     							=					i + 1
    return result


if __name__ == "__main__":
    print(solution())





"""simple docstring"""
from datetime import datetime

import matplotlib.pyplot as plt
import torch

def 				_snake_case      (   __snake_case							:      List[str]   ):




   """simple docstring"""







   for param in module.parameters():
      _lowerCamelCase	:					Optional[Any]   =		False

def 				_snake_case      (   ):




   """simple docstring"""







   _lowerCamelCase	:					Any   =		"""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 				_snake_case      (   __snake_case							:      Union[str, Any]   ):




   """simple docstring"""







   _lowerCamelCase	:					int   =		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      (   ):




   """simple docstring"""







   _lowerCamelCase	:					Tuple   =		datetime.now()
   _lowerCamelCase	:					Optional[Any]   =		current_time.strftime("""%H:%M:%S"""   )
   return timestamp

