




import unittest

import torch
from torch import nn

from diffusers.models.activations import get_activation




class     snake_case__							(unittest.TestCase   ):
				"""simple docstring"""



				def 							__UpperCAmelCase							(      self				:     str							)					->     int:
							a    =			get_activation("swish"							)

							self.assertIsInstance(__lowerCamelCase					,      nn.SiLU							)

							self.assertEqual(act(torch.tensor(-1_00					,      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 							__UpperCAmelCase							(      self				:     Dict							)					->     Union[str, Any]:
							a    =			get_activation("silu"							)

							self.assertIsInstance(__lowerCamelCase					,      nn.SiLU							)

							self.assertEqual(act(torch.tensor(-1_00					,      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 							__UpperCAmelCase							(      self				:     str							)					->     Tuple:
							a    =			get_activation("mish"							)

							self.assertIsInstance(__lowerCamelCase					,      nn.Mish							)

							self.assertEqual(act(torch.tensor(-2_00					,      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 							__UpperCAmelCase							(      self				:     Optional[Any]							)					->     Optional[Any]:
							a    =			get_activation("gelu"							)

							self.assertIsInstance(__lowerCamelCase					,      nn.GELU							)

							self.assertEqual(act(torch.tensor(-1_00					,      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 bisect import bisect
from itertools import accumulate




def 			__magic_name__				( A		:					Optional[Any],  A		:					List[str],  A		:					Tuple,  A		:					Optional[Any]   ):






			'''simple docstring'''







			a    =			sorted(zip(A,  A   ),  key=lambda A   : x[0] / x[1],  reverse=A   )
			a    ,		a    =			[i[0] for i in r], [i[1] for i in r]
			a    =			list(accumulate(A   )   )
			a    =			bisect(A,  A   )
			return (
			    0
			    if k == 0
			    else sum(vl[:k]   ) + (w - acc[k - 1]) * (vl[k]) / (wt[k])
			    if k != n
			    else sum(vl[:k]   )
			)


if __name__ == "__main__":
		import doctest

		doctest.testmod()






