


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        a					(			unittest.TestCase   ):





     def  SCREAMING_SNAKE_CASE__       (    self					:				List[Any]							):
        __lowerCamelCase:				Optional[Any]     =	torch.tensor([-100, -1, -0.1, 0, 0.1, 1.0, 100]							)
        __lowerCamelCase:				int     =	get_activation("""gelu"""							)
        self.assertTrue(torch.allclose(gelu_python(SCREAMING_SNAKE_CASE_							)    ,	torch_builtin(SCREAMING_SNAKE_CASE_							)							)							)
        self.assertFalse(torch.allclose(gelu_python(SCREAMING_SNAKE_CASE_							)    ,	gelu_new(SCREAMING_SNAKE_CASE_							)							)							)





     def  SCREAMING_SNAKE_CASE__       (    self					:				Dict							):
        __lowerCamelCase:				Optional[int]     =	torch.tensor([-100, -1, -0.1, 0, 0.1, 1.0, 100]							)
        __lowerCamelCase:				Optional[int]     =	get_activation("""gelu"""							)
        __lowerCamelCase:				Any     =	get_activation("""gelu_10"""							)

        __lowerCamelCase:				Dict     =	torch_builtin(SCREAMING_SNAKE_CASE_							)
        __lowerCamelCase:				List[str]     =	geluaa(SCREAMING_SNAKE_CASE_							)

        __lowerCamelCase:				Union[str, Any]     =	torch.where(y_gelu_aa < 10.0    ,	1    ,	0							)

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





     def  SCREAMING_SNAKE_CASE__       (    self					:				Dict							):
        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(SCREAMING_SNAKE_CASE_							):
           get_activation("""bogus"""							)
        with self.assertRaises(SCREAMING_SNAKE_CASE_							):
           get_activation(SCREAMING_SNAKE_CASE_							)







     def  SCREAMING_SNAKE_CASE__       (    self					:				Any							):
        __lowerCamelCase:				Any     =	get_activation("""gelu"""							)
        __lowerCamelCase:				int     =	1
        __lowerCamelCase:				Any     =	get_activation("""gelu"""							)
        self.assertEqual(acta.a    ,	1							)
        with self.assertRaises(SCREAMING_SNAKE_CASE_							):
           __lowerCamelCase:				str     =	acta.a






def     __lowerCAmelCase						(							snake_case	:    int = 1000000 )       ->							int:
   __lowerCamelCase:				Union[str, Any]     =	set(range(3						,      snake_case						,      2 ) )
   primes.add(2 )
   for p in range(3						,      snake_case						,      2 ):
      if p not in primes:
         continue
      primes.difference_update(set(range(p * p						,      snake_case						,      snake_case ) ) )

   __lowerCamelCase:				Any     =	[float(snake_case ) for n in range(limit + 1 )]

   for p in primes:
      for n in range(snake_case						,      limit + 1						,      snake_case ):
         phi[n] *= 1 - 1 / p

   return int(sum(phi[2:] ) )


if __name__ == "__main__":
   print(F"""{solution() = }""")


