
import unittest

import torch
from torch import nn

from diffusers.models.activations import get_activation


class       _lowerCAmelCase   (   unittest.TestCase				):







							'''simple docstring'''

							def 	lowercase							(self  )					->       Tuple:
														_snake_case       =  get_activation("""swish"""  )

														self.assertIsInstance(_SCREAMING_SNAKE_CASE  ,  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 	lowercase							(self  )					->       Union[str, Any]:
														_snake_case       =  get_activation("""silu"""  )

														self.assertIsInstance(_SCREAMING_SNAKE_CASE  ,  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 	lowercase							(self  )					->       int:
														_snake_case       =  get_activation("""mish"""  )

														self.assertIsInstance(_SCREAMING_SNAKE_CASE  ,  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 	lowercase							(self  )					->       str:
														_snake_case       =  get_activation("""gelu"""  )

														self.assertIsInstance(_SCREAMING_SNAKE_CASE  ,  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  )

'''simple docstring'''
from urllib.parse import quote

import pytest

from datasets.utils.hub import hf_hub_url






@pytest.mark.parametrize("""repo_id"""							, ["""canonical_dataset_name""", """org-name/dataset-name"""]				)
@pytest.mark.parametrize("""path"""							, ["""filename.csv""", """filename with blanks.csv"""]				)
@pytest.mark.parametrize("""revision"""							, [None, """v2"""]				)
def  __SCREAMING_SNAKE_CASE				(  _SCREAMING_SNAKE_CASE							, _SCREAMING_SNAKE_CASE							, _SCREAMING_SNAKE_CASE				):
							_snake_case       =  hf_hub_url(repo_id=_SCREAMING_SNAKE_CASE							, path=_SCREAMING_SNAKE_CASE							, revision=_SCREAMING_SNAKE_CASE				)
							assert url == f"""https://huggingface.co/datasets/{repo_id}/resolve/{revision or "main"}/{quote(_SCREAMING_SNAKE_CASE				)}"""