




'''simple docstring'''





import unittest

import torch
from torch import nn

from diffusers.models.activations import get_activation

class        _a    (						unittest.TestCase							):






     def     _lowercase     (			self   )							->      str:
          _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   )							->      int:
          _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   )							->      Optional[Any]:
          _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   )							->      List[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'''





import fire

from utils import calculate_rouge, save_json





def      __a     (       _UpperCamelCase:   Tuple ,						_UpperCamelCase:   Optional[int] ,						_UpperCamelCase:   Optional[int]=None ,						**_UpperCamelCase:   Any   )						->			Optional[Any]:

     """simple docstring"""




     _snake_case							=				[x.strip() for x in open(_UpperCamelCase   ).readlines()]
     _snake_case							=				[x.strip() for x in open(_UpperCamelCase   ).readlines()][: len(_UpperCamelCase   )]
     _snake_case							=				calculate_rouge(_UpperCamelCase ,						_UpperCamelCase ,						**_UpperCamelCase   )
     if save_path is not None:
          save_json(_UpperCamelCase ,						_UpperCamelCase ,						indent=_UpperCamelCase   )
     return metrics  # these print nicely


if __name__ == "__main__":
   fire.Fire(calculate_rouge_path)


