




import unittest

from transformers import is_torch_available
from transformers.testing_utils import require_torch


if is_torch_available():
  import torch

  from transformers.activations import gelu_new, gelu_python, get_activation


@require_torch
class     UpperCamelCase_   (			unittest.TestCase					):

    '''simple docstring'''






    def 	SCREAMING_SNAKE_CASE							(      self				:     str)						->List[Any]:





           '''simple docstring'''

           A__							=   torch.tensor([-100, -1, -0.1, 0, 0.1, 1.0, 100])
           A__							=   get_activation('''gelu''')
           self.assertTrue(torch.allclose(gelu_python(UpperCAmelCase__) ,			torch_builtin(UpperCAmelCase__)))
           self.assertFalse(torch.allclose(gelu_python(UpperCAmelCase__) ,			gelu_new(UpperCAmelCase__)))


    def 	SCREAMING_SNAKE_CASE							(      self				:     str)						->Union[str, Any]:





           '''simple docstring'''

           A__							=   torch.tensor([-100, -1, -0.1, 0, 0.1, 1.0, 100])
           A__							=   get_activation('''gelu''')
           A__							=   get_activation('''gelu_10''')

           A__							=   torch_builtin(UpperCAmelCase__)
           A__							=   geluaa(UpperCAmelCase__)

           A__							=   torch.where(y_gelu_aa < 10.0 ,			1 ,			0)

           self.assertTrue(torch.max(UpperCAmelCase__).item() == 10.0)
           self.assertTrue(torch.allclose(y_gelu * clipped_mask ,			y_gelu_aa * clipped_mask))


    def 	SCREAMING_SNAKE_CASE							(      self				:     str)						->List[Any]:





           '''simple docstring'''

           get_activation('''gelu''')
           get_activation('''gelu_10''')
           get_activation('''gelu_fast''')
           get_activation('''gelu_new''')
           get_activation('''gelu_python''')
           get_activation('''gelu_pytorch_tanh''')
           get_activation('''linear''')
           get_activation('''mish''')
           get_activation('''quick_gelu''')
           get_activation('''relu''')
           get_activation('''sigmoid''')
           get_activation('''silu''')
           get_activation('''swish''')
           get_activation('''tanh''')
           with self.assertRaises(UpperCAmelCase__):
                  get_activation('''bogus''')
           with self.assertRaises(UpperCAmelCase__):
                  get_activation(UpperCAmelCase__)





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





           '''simple docstring'''

           A__							=   get_activation('''gelu''')
           A__							=   1
           A__							=   get_activation('''gelu''')
           self.assertEqual(acta.a ,			1)
           with self.assertRaises(UpperCAmelCase__):
                  A__							=   acta.a








_lowerCamelCase     :		dict[str, float]								=       {
    "km/h": 1.0,
    "m/s": 3.6,
    "mph": 1.609_344,
    "knot": 1.852,
}

_lowerCamelCase     :		dict[str, float]								=       {
    "km/h": 1.0,
    "m/s": 0.277_777_778,
    "mph": 0.621_371_192,
    "knot": 0.539_956_803,
}







def SCREAMING_SNAKE_CASE    (	lowercase_			,    lowercase_			,    lowercase_						)       ->	float:



       """simple docstring"""

       if unit_to not in speed_chart or unit_from not in speed_chart_inverse:
              A__							=   (
                  f"""Incorrect 'from_type' or 'to_type' value: {unit_from!r}, {unit_to!r}\n"""
                  f"""Valid values are: {", ".join(lowercase_						)}"""
              )
              raise ValueError(lowercase_						)
       return round(speed * speed_chart[unit_from] * speed_chart_inverse[unit_to]			,    3						)


if __name__ == "__main__":
  import doctest

  doctest.testmod()


