


"""simple docstring"""





from typing import Optional
from urllib.parse import quote

import huggingface_hub as hfh
from packaging import version


def    _snake_case  (  _snake_case :	str       ,      _snake_case :	str       ,      _snake_case :	Optional[str] = None	):
      if version.parse(hfh.__version__	).release < version.parse('''0.11.0'''	).release:
            # old versions of hfh don't url-encode the file path
            lowerCAmelCase    :		str				=      quote(_snake_case	)
      return hfh.hf_hub_url(_snake_case       ,      _snake_case       ,      repo_type='''dataset'''       ,      revision=_snake_case	)






"""simple docstring"""





from datetime import datetime

import matplotlib.pyplot as plt
import torch


def    _snake_case  (  _snake_case :	int	):
      for param in module.parameters():
            lowerCAmelCase    :		Optional[int]				=      False


def    _snake_case  (  ):
      lowerCAmelCase    :		List[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    _snake_case  (  _snake_case :	Dict	):
      lowerCAmelCase    :		Optional[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  (  ):
      lowerCAmelCase    :		List[str]				=      datetime.now()
      lowerCAmelCase    :		Union[str, Any]				=      current_time.strftime('''%H:%M:%S'''	)
      return timestamp


