


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   ):




      '''simple docstring'''


      def 					_snake_case     (    self:	List[Any]    ):
       __lowerCamelCase		:							int		 =						torch.tensor([-100, -1, -0.1, 0, 0.1, 1.0, 100]    )
       __lowerCamelCase		:							str		 =						get_activation('gelu'    )
       self.assertTrue(torch.allclose(gelu_python(a    )						,				torch_builtin(a    )    )    )
       self.assertFalse(torch.allclose(gelu_python(a    )						,				gelu_new(a    )    )    )




      def 					_snake_case     (    self:	Optional[int]    ):
       __lowerCamelCase		:							int		 =						torch.tensor([-100, -1, -0.1, 0, 0.1, 1.0, 100]    )
       __lowerCamelCase		:							int		 =						get_activation('gelu'    )
       __lowerCamelCase		:							Tuple		 =						get_activation('gelu_10'    )

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

       __lowerCamelCase		:							Dict		 =						torch.where(y_gelu_aa < 1_0.0						,				1						,				0    )

       self.assertTrue(torch.max(a    ).item() == 1_0.0    )
       self.assertTrue(torch.allclose(y_gelu * clipped_mask						,				y_gelu_aa * clipped_mask    )    )




      def 					_snake_case     (    self:	List[str]    ):
       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(a    ):
        get_activation('bogus'    )
       with self.assertRaises(a    ):
        get_activation(a    )




      def 					_snake_case     (    self:	List[Any]    ):
       __lowerCamelCase		:							Optional[int]		 =						get_activation('gelu'    )
       __lowerCamelCase		:							Optional[int]		 =						1
       __lowerCamelCase		:							Tuple		 =						get_activation('gelu'    )
       self.assertEqual(acta.a						,				1    )
       with self.assertRaises(a    ):
        __lowerCamelCase		:							List[str]		 =						acta.a





from maths.is_square_free import is_square_free
from maths.prime_factors import prime_factors
def 				UpperCamelCase__					(  SCREAMING_SNAKE_CASE__						):
 __lowerCamelCase		:							Dict		 =						prime_factors(SCREAMING_SNAKE_CASE__						)
 if is_square_free(SCREAMING_SNAKE_CASE__						):
  return -1 if len(SCREAMING_SNAKE_CASE__						) % 2 else 1
 return 0


if __name__ == "__main__":
       import doctest

       doctest.testmod()

