





"""simple docstring"""
import os
import sys
import unittest


__UpperCamelCase     :						List[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,
)


__UpperCamelCase     :						Dict						       =  os.path.join('''tests''', '''models''', '''bert''', '''test_modeling_bert.py''')
__UpperCamelCase     :						int						       =  os.path.join('''tests''', '''models''', '''blip''', '''test_modeling_blip.py''')







class       a							(   unittest.TestCase  ):



 def    UpperCamelCase__  (     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    UpperCamelCase__  (     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    UpperCamelCase__  (     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     )







"""simple docstring"""


import logging
from dataclasses import dataclass, field
from pathlib import Path
from typing import Optional, Union

from .generation.configuration_utils import GenerationConfig
from .training_args import TrainingArguments
from .utils import add_start_docstrings


A_    							=					logging.getLogger(__name__)




@dataclass
@add_start_docstrings(TrainingArguments.__doc__			)
class  __lowerCamelCase  ( lowerCAmelCase			):
				a__:      bool          =    field(default=lowerCAmelCase						,	metadata={'help': 'Whether to use SortishSampler or not.'}			)
				a__:      bool          =    field(
				    default=lowerCAmelCase						,	metadata={'help': 'Whether to use generate to calculate generative metrics (ROUGE, BLEU).'}			)
				a__:      Optional[int]          =    field(
				    default=lowerCAmelCase						,	metadata={
				        'help': (
				            'The `max_length` to use on each evaluation loop when `predict_with_generate=True`. Will default '
				            'to the `max_length` value of the model configuration.'
				        )
				    }						,	)
				a__:      Optional[int]          =    field(
				    default=lowerCAmelCase						,	metadata={
				        'help': (
				            'The `num_beams` to use on each evaluation loop when `predict_with_generate=True`. Will default '
				            'to the `num_beams` value of the model configuration.'
				        )
				    }						,	)
				a__:      Optional[Union[str, Path, GenerationConfig]]          =    field(
				    default=lowerCAmelCase						,	metadata={
				        'help': 'Model id, file path or url pointing to a GenerationConfig json file, to use during prediction.'
				    }						,	)




				def        UpperCAmelCase__						(				self   ):
							lowerCamelCase_					=  super().to_dict()
							for k, v in d.items():
										if isinstance(UpperCAmelCase							,						UpperCAmelCase   ):
													lowerCamelCase_					=  v.to_dict()
							return d



