'''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        __A      ( unittest.TestCase	):



    def 					_lowercase						(self    :    Optional[Any] ):
         UpperCAmelCase_           =   torch.tensor([-100, -1, -0.1, 0, 0.1, 1.0, 100] )
         UpperCAmelCase_           =   get_activation("gelu" )
         self.assertTrue(torch.allclose(gelu_python(__a )   ,			torch_builtin(__a ) ) )
         self.assertFalse(torch.allclose(gelu_python(__a )   ,			gelu_new(__a ) ) )



    def 					_lowercase						(self    :    List[str] ):
         UpperCAmelCase_           =   torch.tensor([-100, -1, -0.1, 0, 0.1, 1.0, 100] )
         UpperCAmelCase_           =   get_activation("gelu" )
         UpperCAmelCase_           =   get_activation("gelu_10" )

         UpperCAmelCase_           =   torch_builtin(__a )
         UpperCAmelCase_           =   geluaa(__a )

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

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



    def 					_lowercase						(self    :    Optional[int] ):
         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 					_lowercase						(self    :    Optional[Any] ):
         UpperCAmelCase_           =   get_activation("gelu" )
         UpperCAmelCase_           =   1
         UpperCAmelCase_           =   get_activation("gelu" )
         self.assertEqual(acta.a   ,			1 )
         with self.assertRaises(__a ):
              UpperCAmelCase_           =   acta.a






'''simple docstring'''







from __future__ import annotations

import string
from itertools import cycle, product
from pathlib import Path

lowercase    :							str      =					(
    string.ascii_letters + string.digits + string.punctuation + string.whitespace
)
lowercase    :							list[int]      =					[ord(letter) for letter in string.ascii_lowercase]
lowercase    :							set[int]      =					{ord(char) for char in VALID_CHARS}

lowercase    :							list[str]      =					["the", "be", "to", "of", "and", "in", "that", "have"]







def 				SCREAMING_SNAKE_CASE__	(   __A			,				__A	)       ->	str | None:
	_snake_case   						=		""
	_snake_case   						=		42
	_snake_case   						=		42
	_snake_case   						=		42

	for keychar, cipherchar in zip(cycle(__A	)			,				__A	):
		_snake_case   						=		cipherchar ^ keychar
		if decodedchar not in VALID_INTS:
			return None
		decoded += chr(__A	)

	return decoded







def 				SCREAMING_SNAKE_CASE__	(   __A	)       ->	list[str]:
	_snake_case   						=		[]
	for key in product(__A			,				repeat=3	):
		_snake_case   						=		try_key(__A			,				__A	)
		if encoded is not None:
			possibles.append(__A	)
	return possibles







def 				SCREAMING_SNAKE_CASE__	(   __A			,				__A	)       ->	list[str]:
	return [possible for possible in possibles if common_word in possible.lower()]







def 				SCREAMING_SNAKE_CASE__	(   __A = "p059_cipher.txt"	)       ->	int:
	_snake_case   						=		42
	_snake_case   						=		42
	_snake_case   						=		42
	_snake_case   						=		42
	_snake_case   						=		Path(__A	).parent.joinpath(__A	).read_text(encoding='utf-8'	)

	_snake_case   						=		[int(__A	) for number in data.strip().split(','	)]

	_snake_case   						=		filter_valid_chars(__A	)
	for common_word in COMMON_WORDS:
		_snake_case   						=		filter_common_word(__A			,				__A	)
		if len(__A	) == 1:
			break

	_snake_case   						=		possibles[0]
	return sum(ord(__A	) for char in decoded_text	)


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

