



import unittest

import torch
from torch import nn

from diffusers.models.activations import get_activation
class 			_snake_case     (   unittest.TestCase):




				def 							A__ (  self   :  Optional[Any]  ):
							lowercase__   					=			get_activation("swish"  )

							self.assertIsInstance(__lowercase,   nn.SiLU  )

							self.assertEqual(act(torch.tensor(-100,   dtype=torch.floataa  )  ).item(),   0  )
							self.assertNotEqual(act(torch.tensor(-1,   dtype=torch.floataa  )  ).item(),   0  )
							self.assertEqual(act(torch.tensor(0,   dtype=torch.floataa  )  ).item(),   0  )
							self.assertEqual(act(torch.tensor(20,   dtype=torch.floataa  )  ).item(),   20  )




				def 							A__ (  self   :  List[str]  ):
							lowercase__   					=			get_activation("silu"  )

							self.assertIsInstance(__lowercase,   nn.SiLU  )

							self.assertEqual(act(torch.tensor(-100,   dtype=torch.floataa  )  ).item(),   0  )
							self.assertNotEqual(act(torch.tensor(-1,   dtype=torch.floataa  )  ).item(),   0  )
							self.assertEqual(act(torch.tensor(0,   dtype=torch.floataa  )  ).item(),   0  )
							self.assertEqual(act(torch.tensor(20,   dtype=torch.floataa  )  ).item(),   20  )




				def 							A__ (  self   :  Dict  ):
							lowercase__   					=			get_activation("mish"  )

							self.assertIsInstance(__lowercase,   nn.Mish  )

							self.assertEqual(act(torch.tensor(-200,   dtype=torch.floataa  )  ).item(),   0  )
							self.assertNotEqual(act(torch.tensor(-1,   dtype=torch.floataa  )  ).item(),   0  )
							self.assertEqual(act(torch.tensor(0,   dtype=torch.floataa  )  ).item(),   0  )
							self.assertEqual(act(torch.tensor(20,   dtype=torch.floataa  )  ).item(),   20  )




				def 							A__ (  self   :  List[str]  ):
							lowercase__   					=			get_activation("gelu"  )

							self.assertIsInstance(__lowercase,   nn.GELU  )

							self.assertEqual(act(torch.tensor(-100,   dtype=torch.floataa  )  ).item(),   0  )
							self.assertNotEqual(act(torch.tensor(-1,   dtype=torch.floataa  )  ).item(),   0  )
							self.assertEqual(act(torch.tensor(0,   dtype=torch.floataa  )  ).item(),   0  )
							self.assertEqual(act(torch.tensor(20,   dtype=torch.floataa  )  ).item(),   20  )









from collections import namedtuple

import requests
from lxml import html  # type: ignore

lowercase_						=       namedtuple("""covid_data""", """cases deaths recovered""")



def __lowerCAmelCase	(       SCREAMING_SNAKE_CASE_ = "https://www.worldometers.info/coronavirus/"					):
			lowercase__   					=			"//div[@class = \"maincounter-number\"]/span/text()"
			return covid_data(*html.fromstring(requests.get(SCREAMING_SNAKE_CASE_					).content					).xpath(SCREAMING_SNAKE_CASE_					)					)


lowercase_						=       """Total COVID-19 cases in the world: {}
Total deaths due to COVID-19 in the world: {}
Total COVID-19 patients recovered in the world: {}"""




print(fmt.format(*covid_stats()))




