


from datetime import datetime

import matplotlib.pyplot as plt
import torch
def      _a					( SCREAMING_SNAKE_CASE	):


		"""simple docstring"""




		for param in module.parameters():
				lowercase__				= False
def      _a					( ):


		"""simple docstring"""




		lowercase__				= '''cuda''' if torch.cuda.is_available() else '''cpu'''
		if torch.backends.mps.is_available() and torch.backends.mps.is_built():
				lowercase__				= '''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      _a					( SCREAMING_SNAKE_CASE	):


		"""simple docstring"""




		lowercase__				= 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      _a					( ):


		"""simple docstring"""




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










import copy
from dataclasses import dataclass, field
from typing import ClassVar, Dict

from ..features import Audio, ClassLabel, Features
from .base import TaskTemplate




@dataclass(frozen=lowercase_)
class       snake_case__ (				lowercase_):

       '''simple docstring'''
       lowerCamelCase				:					str								=			field(default="audio-classification"						,     metadata={"include_in_asdict_even_if_is_default": True})
       lowerCamelCase				:					ClassVar[Features]								=			Features({"audio": Audio()})
       lowerCamelCase				:					ClassVar[Features]								=			Features({"labels": ClassLabel})
       lowerCamelCase				:					str								=			"audio"
       lowerCamelCase				:					str								=			"labels"



       def        __lowercase    (				self      ,    a__     )			->   Dict:






            '''simple docstring'''





            if self.label_column not in features:
                 raise ValueError(F'''Column {self.label_column} is not present in features.'''     )
            if not isinstance(features[self.label_column]      ,    a__     ):
                 raise ValueError(F'''Column {self.label_column} is not a ClassLabel.'''     )
            __snake_case      :Any 							=    copy.deepcopy(self     )
            __snake_case      :List[Any] 							=    self.label_schema.copy()
            __snake_case      :List[Any] 							=    features[self.label_column]
            __snake_case      :Optional[Any] 							=    label_schema
            return task_template



       @property
       def        __lowercase    (				self     )			->   Dict[str, str]:






            '''simple docstring'''





            return {
                self.audio_column: "audio",
                self.label_column: "labels",
            }


