



import os
import sys
import unittest


A__	      =       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__	      =       os.path.join("""tests""", """models""", """bert""", """test_modeling_bert.py""")
A__	      =       os.path.join("""tests""", """models""", """blip""", """test_modeling_blip.py""")





class 					__lowerCAmelCase (     unittest.TestCase       ):




				def 							snake_case   (							self		):



									"""simple docstring"""





									_lowerCAmelCase						=    get_test_to_tester_mapping(_snake_case		)
									_lowerCAmelCase						=    get_test_to_tester_mapping(_snake_case		)

									_lowerCAmelCase						=    {"""BertModelTest""": """BertModelTester"""}

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

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




				def 							snake_case   (							self		):



									"""simple docstring"""





									_lowerCAmelCase						=    get_model_to_test_mapping(_snake_case		)
									_lowerCAmelCase						=    get_model_to_test_mapping(_snake_case		)

									_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(_snake_case		)						,				_snake_case		)
									self.assertEqual(get_test_info.to_json(_snake_case		)						,				_snake_case		)




				def 							snake_case   (							self		):



									"""simple docstring"""





									_lowerCAmelCase						=    get_model_to_tester_mapping(_snake_case		)
									_lowerCAmelCase						=    get_model_to_tester_mapping(_snake_case		)

									_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(_snake_case		)						,				_snake_case		)
									self.assertEqual(get_test_info.to_json(_snake_case		)						,				_snake_case		)





from unittest import TestCase

from datasets import Dataset
from minhash_deduplication import deduplicate_dataset, make_duplicate_clusters


def       A       (					)   ->  Union[str, Any]:
		'''simple docstring'''

		UpperCamelCase		=     {
		    'repo_name': ['test_repo1', 'test_repo2', 'test_repo3'],
		    'path': ['test_1.py', 'test_2.py', 'unit_test.py'],
		    'content': ['a ' * 20, 'a ' * 30, 'b ' * 7],
		}
		UpperCamelCase		=     Dataset.from_dict(lowercase )
		return dataset


class 				lowercase					(		_SCREAMING_SNAKE_CASE   ):



		def __UpperCamelCase ( self       )  ->					Tuple:
				"""simple docstring"""
				UpperCamelCase		=     get_dataset()
				UpperCamelCase		=     make_duplicate_clusters(A_				,      0.85       )
				self.assertEqual(len(duplicate_clusters[0]       )				,      2       )



		def __UpperCamelCase ( self       )  ->					Any:
				"""simple docstring"""
				UpperCamelCase		=     get_dataset()
				UpperCamelCase	,  UpperCamelCase		=     deduplicate_dataset(A_       )
				self.assertEqual(len(A_       )				,      2       )
				print(A_       )
				self.assertEqual(duplicate_clusters[0][0]['copies']				,      2       )
				self.assertEqual(duplicate_clusters[0][0]['is_extreme']				,      A_       )
