


import unittest

import torch
from torch import nn

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



					'''simple docstring'''







					def A   (					self    ) ->      List[str]:







								'''simple docstring'''

								__lowercase			       = get_activation('''swish'''    )

								self.assertIsInstance(snake_case_			,							nn.SiLU    )

								self.assertEqual(act(torch.tensor(-1_0_0			,							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(2_0			,							dtype=torch.floataa    )    ).item()			,							2_0    )






					def A   (					self    ) ->      str:







								'''simple docstring'''

								__lowercase			       = get_activation('''silu'''    )

								self.assertIsInstance(snake_case_			,							nn.SiLU    )

								self.assertEqual(act(torch.tensor(-1_0_0			,							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(2_0			,							dtype=torch.floataa    )    ).item()			,							2_0    )






					def A   (					self    ) ->      int:







								'''simple docstring'''

								__lowercase			       = get_activation('''mish'''    )

								self.assertIsInstance(snake_case_			,							nn.Mish    )

								self.assertEqual(act(torch.tensor(-2_0_0			,							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(2_0			,							dtype=torch.floataa    )    ).item()			,							2_0    )






					def A   (					self    ) ->      List[Any]:







								'''simple docstring'''

								__lowercase			       = get_activation('''gelu'''    )

								self.assertIsInstance(snake_case_			,							nn.GELU    )

								self.assertEqual(act(torch.tensor(-1_0_0			,							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(2_0			,							dtype=torch.floataa    )    ).item()			,							2_0    )






from __future__ import annotations
class 						lowerCamelCase_							:



					'''simple docstring'''







					def __init__(					self			,							snake_case_    ) ->      None:







								'''simple docstring'''

								__lowercase			       = order

								# a_{0} ... a_{k}
								__lowercase			       = [1.0] + [0.0] * order
								# b_{0} ... b_{k}
								__lowercase			       = [1.0] + [0.0] * order

								# x[n-1] ... x[n-k]
								__lowercase			       = [0.0] * self.order
								# y[n-1] ... y[n-k]
								__lowercase			       = [0.0] * self.order






					def A   (					self			,							snake_case_			,							snake_case_    ) ->      None:







								'''simple docstring'''

								if len(snake_case_    ) < self.order:
											__lowercase			       = [1.0, *a_coeffs]

								if len(snake_case_    ) != self.order + 1:
											__lowercase			       = (
											    F'Expected a_coeffs to have {self.order + 1} elements '
											    F'for {self.order}-order filter, got {len(snake_case_    )}'
											)
											raise ValueError(snake_case_    )

								if len(snake_case_    ) != self.order + 1:
											__lowercase			       = (
											    F'Expected b_coeffs to have {self.order + 1} elements '
											    F'for {self.order}-order filter, got {len(snake_case_    )}'
											)
											raise ValueError(snake_case_    )

								__lowercase			       = a_coeffs
								__lowercase			       = b_coeffs






					def A   (					self			,							snake_case_    ) ->      float:







								'''simple docstring'''

								__lowercase			       = 0.0

								# Start at index 1 and do index 0 at the end.
								for i in range(1			,							self.order + 1    ):
											result += (
											    self.b_coeffs[i] * self.input_history[i - 1]
											    - self.a_coeffs[i] * self.output_history[i - 1]
											)

								__lowercase			       = (result + self.b_coeffs[0] * sample) / self.a_coeffs[0]

								__lowercase			       = self.input_history[:-1]
								__lowercase			       = self.output_history[:-1]

								__lowercase			       = sample
								__lowercase			       = result

								return result


