





'''simple docstring'''




import os
import sys
import unittest


a__					:			Any          =     os.path.abspath(os.path.dirname(os.path.dirname(os.path.dirname(__file__))))
sys.path.append(os.path.join(git_repo_path, '''utils'''))

import get_test_info  # noqa: E402
from get_test_info import (  # noqa: E402
    get_model_to_test_mapping,
    get_model_to_tester_mapping,
    get_test_to_tester_mapping,
)


a__					:			Dict          =     os.path.join('''tests''', '''models''', '''bert''', '''test_modeling_bert.py''')
a__					:			Optional[Any]          =     os.path.join('''tests''', '''models''', '''blip''', '''test_modeling_blip.py''')






class 				__snake_case     (					unittest.TestCase							):





	def   _snake_case   (		self		)      ->		List[Any]:
		snake_case__	       =   get_test_to_tester_mapping(__a		)
		snake_case__	       =   get_test_to_tester_mapping(__a		)

		snake_case__	       =   {'BertModelTest': 'BertModelTester'}

		snake_case__	       =   {
		    'BlipModelTest': 'BlipModelTester',
		    'BlipTextImageModelTest': 'BlipTextImageModelsModelTester',
		    'BlipTextModelTest': 'BlipTextModelTester',
		    'BlipTextRetrievalModelTest': 'BlipTextRetrievalModelTester',
		    'BlipVQAModelTest': 'BlipVQAModelTester',
		    'BlipVisionModelTest': 'BlipVisionModelTester',
		}

		self.assertEqual(get_test_info.to_json(__a		)      ,       __a		)
		self.assertEqual(get_test_info.to_json(__a		)      ,       __a		)





	def   _snake_case   (		self		)      ->		Optional[Any]:
		snake_case__	       =   get_model_to_test_mapping(__a		)
		snake_case__	       =   get_model_to_test_mapping(__a		)

		snake_case__	       =   {
		    'BertForMaskedLM': ['BertModelTest'],
		    'BertForMultipleChoice': ['BertModelTest'],
		    'BertForNextSentencePrediction': ['BertModelTest'],
		    'BertForPreTraining': ['BertModelTest'],
		    'BertForQuestionAnswering': ['BertModelTest'],
		    'BertForSequenceClassification': ['BertModelTest'],
		    'BertForTokenClassification': ['BertModelTest'],
		    'BertLMHeadModel': ['BertModelTest'],
		    'BertModel': ['BertModelTest'],
		}

		snake_case__	       =   {
		    'BlipForConditionalGeneration': ['BlipTextImageModelTest'],
		    'BlipForImageTextRetrieval': ['BlipTextRetrievalModelTest'],
		    'BlipForQuestionAnswering': ['BlipVQAModelTest'],
		    'BlipModel': ['BlipModelTest'],
		    'BlipTextModel': ['BlipTextModelTest'],
		    'BlipVisionModel': ['BlipVisionModelTest'],
		}

		self.assertEqual(get_test_info.to_json(__a		)      ,       __a		)
		self.assertEqual(get_test_info.to_json(__a		)      ,       __a		)





	def   _snake_case   (		self		)      ->		Optional[Any]:
		snake_case__	       =   get_model_to_tester_mapping(__a		)
		snake_case__	       =   get_model_to_tester_mapping(__a		)

		snake_case__	       =   {
		    'BertForMaskedLM': ['BertModelTester'],
		    'BertForMultipleChoice': ['BertModelTester'],
		    'BertForNextSentencePrediction': ['BertModelTester'],
		    'BertForPreTraining': ['BertModelTester'],
		    'BertForQuestionAnswering': ['BertModelTester'],
		    'BertForSequenceClassification': ['BertModelTester'],
		    'BertForTokenClassification': ['BertModelTester'],
		    'BertLMHeadModel': ['BertModelTester'],
		    'BertModel': ['BertModelTester'],
		}

		snake_case__	       =   {
		    'BlipForConditionalGeneration': ['BlipTextImageModelsModelTester'],
		    'BlipForImageTextRetrieval': ['BlipTextRetrievalModelTester'],
		    'BlipForQuestionAnswering': ['BlipVQAModelTester'],
		    'BlipModel': ['BlipModelTester'],
		    'BlipTextModel': ['BlipTextModelTester'],
		    'BlipVisionModel': ['BlipVisionModelTester'],
		}

		self.assertEqual(get_test_info.to_json(__a		)      ,       __a		)
		self.assertEqual(get_test_info.to_json(__a		)      ,       __a		)







"""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     _UpperCamelCase    (  unittest.TestCase						):
							'''simple docstring'''







							def      snake_case							(	self      ):
										__lowerCAmelCase							       =     torch.tensor([-1_00, -1, -0.1, 0, 0.1, 1.0, 1_00]      )
										__lowerCAmelCase							       =     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      ):
										__lowerCAmelCase							       =     torch.tensor([-1_00, -1, -0.1, 0, 0.1, 1.0, 1_00]      )
										__lowerCAmelCase							       =     get_activation("gelu"      )
										__lowerCAmelCase							       =     get_activation("gelu_10"      )

										__lowerCAmelCase							       =     torch_builtin(__a      )
										__lowerCAmelCase							       =     geluaa(__a      )

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




