import os
import sys
import unittest


lowercase__			:				Optional[int]		=	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,
)


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




class    lowercase_  (  unittest.TestCase						):



	"""simple docstring"""





	def 			SCREAMING_SNAKE_CASE_				(							self				)						->Union[str, Any]:
								lowerCAmelCase			=		get_test_to_tester_mapping(lowerCAmelCase_				)
								lowerCAmelCase			=		get_test_to_tester_mapping(lowerCAmelCase_				)

								lowerCAmelCase			=		{"BertModelTest": "BertModelTester"}

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

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


	def 			SCREAMING_SNAKE_CASE_				(							self				)						->str:
								lowerCAmelCase			=		get_model_to_test_mapping(lowerCAmelCase_				)
								lowerCAmelCase			=		get_model_to_test_mapping(lowerCAmelCase_				)

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

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

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




	def 			SCREAMING_SNAKE_CASE_				(							self				)						->List[str]:
								lowerCAmelCase			=		get_model_to_tester_mapping(lowerCAmelCase_				)
								lowerCAmelCase			=		get_model_to_tester_mapping(lowerCAmelCase_				)

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

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

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











"""simple docstring"""
from torch import nn

def 				snake_case      (   A__						):
			if act_fn in ["swish", "silu"]:
						return nn.SiLU()
			elif act_fn == "mish":
						return nn.Mish()
			elif act_fn == "gelu":
						return nn.GELU()
			else:
						raise ValueError(F"""Unsupported activation function: {act_fn}"""						)



