



'''simple docstring'''





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 				snake_case (unittest.TestCase   ):



       def 							_a      (				self      )  ->							Dict:

           '''simple docstring'''





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



       def 							_a      (				self      )  ->							Optional[int]:

           '''simple docstring'''





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

           lowercase__		       =						torch_builtin(lowercase_      )
           lowercase__		       =						geluaa(lowercase_      )

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

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



       def 							_a      (				self      )  ->							Union[str, 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(lowercase_      ):
               get_activation("bogus"      )
           with self.assertRaises(lowercase_      ):
               get_activation(lowercase_      )







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

           '''simple docstring'''





           lowercase__		       =						get_activation("gelu"      )
           lowercase__		       =						1
           lowercase__		       =						get_activation("gelu"      )
           self.assertEqual(acta.a     ,1      )
           with self.assertRaises(lowercase_      ):
               lowercase__		       =						acta.a









'''simple docstring'''





def        lowerCamelCase  (				_snake_case  :						list[int]     ,_snake_case  :						list[int]       ):





    '''simple docstring'''


    lowercase__		       =						len(_snake_case       )
    print("The following activities are selected:"       )

    # The first activity is always selected
    lowercase__		       =						0
    print(_snake_case     ,end=","       )

    # Consider rest of the activities
    for j in range(_snake_case       ):
        # If this activity has start time greater than
        # or equal to the finish time of previously
        # selected activity, then select it
        if start[j] >= finish[i]:
            print(_snake_case     ,end=","       )
            lowercase__		       =						j


if __name__ == "__main__":
 import doctest

 doctest.testmod()

 SCREAMING_SNAKE_CASE__      					=     [1, 3, 0, 5, 8, 5]
 SCREAMING_SNAKE_CASE__      					=     [2, 4, 6, 7, 9, 9]
 print_max_activities(start, finish)




