


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







							def      snake_case							(	self      ):
										__lowerCAmelCase							       =     get_test_to_tester_mapping(__a      )
										__lowerCAmelCase							       =     get_test_to_tester_mapping(__a      )

										__lowerCAmelCase							       =     {"BertModelTest": "BertModelTester"}

										__lowerCAmelCase							       =     {
										    "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      ):
										__lowerCAmelCase							       =     get_model_to_test_mapping(__a      )
										__lowerCAmelCase							       =     get_model_to_test_mapping(__a      )

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



							def      snake_case							(	self      ):
										__lowerCAmelCase							       =     get_model_to_tester_mapping(__a      )
										__lowerCAmelCase							       =     get_model_to_tester_mapping(__a      )

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








"""simple docstring"""


from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


A	:  Union[str, Any]            =     {
    "configuration_timesformer": ["TIMESFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP", "TimesformerConfig"],
}

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	A	:  Optional[int]            =     [
	    "TIMESFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
	    "TimesformerModel",
	    "TimesformerForVideoClassification",
	    "TimesformerPreTrainedModel",
	]

if TYPE_CHECKING:
	from .configuration_timesformer import TIMESFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, TimesformerConfig

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_timesformer import (
		    TIMESFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
		    TimesformerForVideoClassification,
		    TimesformerModel,
		    TimesformerPreTrainedModel,
		)

else:
	import sys

	A	:  List[str]            =     _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)




