





"""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        _lowerCamelCase      (       unittest.TestCase ):


						def     snake_case_   (self		) ->   int:
								UpperCamelCase   =	torch.tensor([-1_00, -1, -0.1, 0, 0.1, 1.0, 1_00]		)
								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     snake_case_   (self		) ->   List[Any]:
								UpperCamelCase   =	torch.tensor([-1_00, -1, -0.1, 0, 0.1, 1.0, 1_00]		)
								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     snake_case_   (self		) ->   Tuple:
								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		) ->   int:
								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 typing import TYPE_CHECKING

from ...utils import _LazyModule


lowerCAmelCase__     			=			{'''tokenization_bertweet''': ['''BertweetTokenizer''']}


if TYPE_CHECKING:
						from .tokenization_bertweet import BertweetTokenizer

else:
						import sys

						lowerCAmelCase__     			=			_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)






