





'''simple docstring'''




import os
import sys
import unittest


lowercase__   :				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,
)


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


class 			SCREAMING_SNAKE_CASE   (unittest.TestCase							):


     def 							SCREAMING_SNAKE_CASE  (						self):

          '''simple docstring'''






          __A						:			str								=	get_test_to_tester_mapping(_UpperCAmelCase)
          __A						:			List[str]								=	get_test_to_tester_mapping(_UpperCAmelCase)

          __A						:			List[Any]								=	{'BertModelTest': 'BertModelTester'}

          __A						:			Union[str, Any]								=	{
              'BlipModelTest': 'BlipModelTester',
              'BlipTextImageModelTest': 'BlipTextImageModelsModelTester',
              'BlipTextModelTest': 'BlipTextModelTester',
              'BlipTextRetrievalModelTest': 'BlipTextRetrievalModelTester',
              'BlipVQAModelTest': 'BlipVQAModelTester',
              'BlipVisionModelTest': 'BlipVisionModelTester',
          }

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


     def 							SCREAMING_SNAKE_CASE  (						self):

          '''simple docstring'''






          __A						:			Union[str, Any]								=	get_model_to_test_mapping(_UpperCAmelCase)
          __A						:			Tuple								=	get_model_to_test_mapping(_UpperCAmelCase)

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

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

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


     def 							SCREAMING_SNAKE_CASE  (						self):

          '''simple docstring'''






          __A						:			Any								=	get_model_to_tester_mapping(_UpperCAmelCase)
          __A						:			str								=	get_model_to_tester_mapping(_UpperCAmelCase)

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

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

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






'''simple docstring'''




def 	_lowerCAmelCase      (  __snake_case  :			str			,							__snake_case  :			str      )					->					float:

     def get_matched_characters(__snake_case  :			str			,							__snake_case  :			str      ) -> str:
          __A						:			Optional[int]								=	[]
          __A						:			Optional[Any]								=	min(len(_stra      )			,							len(_stra      )      ) // 2
          for i, l in enumerate(_stra      ):
               __A						:			str								=	int(max(0			,							i - limit      )      )
               __A						:			str								=	int(min(i + limit + 1			,							len(_stra      )      )      )
               if l in _stra[left:right]:
                    matched.append(__snake_case      )
                    __A						:			Dict								=	f'{_stra[0:_stra.index(__snake_case      )]} {_stra[_stra.index(__snake_case      ) + 1:]}'

          return "".join(__snake_case      )

     # matching characters
     __A						:			Any								=	get_matched_characters(__snake_case			,							__snake_case      )
     __A						:			str								=	get_matched_characters(__snake_case			,							__snake_case      )
     __A						:			str								=	len(__snake_case      )

     # transposition
     __A						:			Tuple								=	(
         len([(ca, ca) for ca, ca in zip(__snake_case			,							__snake_case      ) if ca != ca]      ) // 2
     )

     if not match_count:
          __A						:			int								=	0.0
     else:
          __A						:			Union[str, Any]								=	(
              1
              / 3
              * (
                  match_count / len(__snake_case      )
                  + match_count / len(__snake_case      )
                  + (match_count - transpositions) / match_count
              )
          )

     # common prefix up to 4 characters
     __A						:			Tuple								=	0
     for ca, ca in zip(stra[:4]			,							stra[:4]      ):
          if ca == ca:
               prefix_len += 1
          else:
               break

     return jaro + 0.1 * prefix_len * (1 - jaro)


if __name__ == "__main__":
  import doctest

  doctest.testmod()
  print(jaro_winkler('''hello''', '''world'''))