




'''simple docstring'''







import requests





def 		snake_case_							(_a			:							str					,     _a			:							str  ):
    UpperCAmelCase     =	{'''Content-Type''': '''application/json'''}
    UpperCAmelCase     =	requests.post(_a					,     json={'''text''': message_body}					,     headers=_a  )
    if response.status_code != 2_0_0:
        UpperCAmelCase     =	(
            '''Request to slack returned an error '''
            F"{response.status_code}, the response is:\n{response.text}"
        )
        raise ValueError(_a  )


if __name__ == "__main__":
   # Set the slack url to the one provided by Slack when you create the webhook at
   # https://my.slack.com/services/new/incoming-webhook/
   send_slack_message('<YOUR MESSAGE BODY>', '<SLACK CHANNEL URL>')










'''simple docstring'''







from datetime import datetime

import matplotlib.pyplot as plt
import torch





def 		snake_case_							(_a			:							List[str]  ):
    for param in module.parameters():
        UpperCAmelCase     =	False





def 		snake_case_							():
    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 		snake_case_							(_a			:							Optional[Any]  ):
    UpperCAmelCase     =	plt.imshow(_a  )
    fig.axes.get_xaxis().set_visible(_a  )
    fig.axes.get_yaxis().set_visible(_a  )
    plt.show()







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




