





'''simple docstring'''






import unittest

import torch
from torch import nn

from diffusers.models.activations import get_activation




class 					UpperCAmelCase	(     unittest.TestCase  ):




      def 							lowercase__       (     self     :					int    )							-> int:
            _lowerCAmelCase					=				get_activation("""swish"""    )

            self.assertIsInstance(__snake_case     ,     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 							lowercase__       (     self     :					List[Any]    )							-> Any:
            _lowerCAmelCase					=				get_activation("""silu"""    )

            self.assertIsInstance(__snake_case     ,     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 							lowercase__       (     self     :					List[Any]    )							-> Tuple:
            _lowerCAmelCase					=				get_activation("""mish"""    )

            self.assertIsInstance(__snake_case     ,     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 							lowercase__       (     self     :					Optional[int]    )							-> Optional[Any]:
            _lowerCAmelCase					=				get_activation("""gelu"""    )

            self.assertIsInstance(__snake_case     ,     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    )













'''simple docstring'''






from __future__ import annotations

import numpy as np
def   UpperCamelCase__ (						lowerCAmelCase    ):





      """simple docstring"""


      _lowerCAmelCase	,				_lowerCAmelCase					=				np.shape(lowerCAmelCase    )
      if rows != columns:
            _lowerCAmelCase					=				(
                """'table' has to be of square shaped array but got a """
                f"{rows}x{columns} array:\n{table}"
            )
            raise ValueError(lowerCAmelCase    )

      _lowerCAmelCase					=				np.zeros((rows, columns)    )
      _lowerCAmelCase					=				np.zeros((rows, columns)    )
      for i in range(lowerCAmelCase    ):
            for j in range(lowerCAmelCase    ):
                  _lowerCAmelCase					=				sum(lower[i][k] * upper[k][j] for k in range(lowerCAmelCase    )    )
                  if upper[j][j] == 0:
                        raise ArithmeticError("""No LU decomposition exists"""    )
                  _lowerCAmelCase					=				(table[i][j] - total) / upper[j][j]
            _lowerCAmelCase					=				1
            for j in range(lowerCAmelCase				,      lowerCAmelCase    ):
                  _lowerCAmelCase					=				sum(lower[i][k] * upper[k][j] for k in range(lowerCAmelCase    )    )
                  _lowerCAmelCase					=				table[i][j] - total
      return lower, upper


if __name__ == "__main__":
      import doctest

      doctest.testmod()






