





'''simple docstring'''






import importlib
import os
import sys


# This is required to make the module import works (when the python process is running from the root of the repo)
sys.path.append(".")



def        UpperCamelCase__		(						__magic_name__  :   Optional[Any]      )				->			str:
 '''simple docstring'''






 snake_case__     :					List[str]    =  test_file.split(os.path.sep      )
 if components[0:2] != ["tests", "models"]:
  raise ValueError(
      """`test_file` should start with `tests/models/` (with `/` being the OS specific path separator). Got """
      f"{test_file} instead."      )
 snake_case__     :					Tuple    =  components[-1]
 if not test_fn.endswith("""py"""      ):
  raise ValueError(f"`test_file` should be a python file. Got {test_fn} instead."      )
 if not test_fn.startswith("""test_modeling_"""      ):
  raise ValueError(
      f"`test_file` should point to a file name of the form `test_modeling_*.py`. Got {test_fn} instead."      )

 snake_case__     :					Optional[Any]    =  components[:-1] + [test_fn.replace(""".py"""		,       """"""      )]
 snake_case__     :					List[str]    =  """.""".join(__magic_name__      )

 return test_module_path



def        UpperCamelCase__		(						__magic_name__  :   Optional[int]      )				->			Dict:
 '''simple docstring'''






 snake_case__     :					str    =  get_module_path(__magic_name__      )
 snake_case__     :					Optional[Any]    =  importlib.import_module(__magic_name__      )

 return test_module



def        UpperCamelCase__		(						__magic_name__  :   str      )				->			Optional[Any]:
 '''simple docstring'''






 snake_case__     :					Any    =  []
 snake_case__     :					Any    =  get_test_module(__magic_name__      )
 for attr in dir(__magic_name__      ):
  if attr.endswith("""ModelTester"""      ):
   tester_classes.append(getattr(__magic_name__		,       __magic_name__      )      )

    # sort with class names
 return sorted(__magic_name__		,       key=lambda __magic_name__      : x.__name__      )



def        UpperCamelCase__		(						__magic_name__  :   Any      )				->			Optional[int]:
 '''simple docstring'''






 snake_case__     :					Union[str, Any]    =  []
 snake_case__     :					Union[str, Any]    =  get_test_module(__magic_name__      )
 for attr in dir(__magic_name__      ):
  snake_case__     :					List[str]    =  getattr(__magic_name__		,       __magic_name__      )
  # (TF/Flax)ModelTesterMixin is also an attribute in specific model test module. Let's exclude them by checking
  # `all_model_classes` is not empty (which also excludes other special classes).
  snake_case__     :					Any    =  getattr(__magic_name__		,       """all_model_classes"""		,       []      )
  if len(__magic_name__      ) > 0:
   test_classes.append(__magic_name__      )

    # sort with class names
 return sorted(__magic_name__		,       key=lambda __magic_name__      : x.__name__      )



def        UpperCamelCase__		(						__magic_name__  :   Optional[int]      )				->			List[str]:
 '''simple docstring'''






 snake_case__     :					Optional[Any]    =  get_test_classes(__magic_name__      )
 snake_case__     :					Union[str, Any]    =  set()
 for test_class in test_classes:
  model_classes.update(test_class.all_model_classes      )

 # sort with class names
 return sorted(__magic_name__		,       key=lambda __magic_name__      : x.__name__      )



def        UpperCamelCase__		(						__magic_name__  :   str      )				->			Optional[Any]:
 '''simple docstring'''






 snake_case__     :					Optional[int]    =  test_class()
 if hasattr(__magic_name__		,       """setUp"""      ):
  test.setUp()

 snake_case__     :					List[Any]    =  None
 if hasattr(__magic_name__		,       """model_tester"""      ):
  # `(TF/Flax)ModelTesterMixin` has this attribute default to `None`. Let's skip this case.
  if test.model_tester is not None:
   snake_case__     :					Optional[Any]    =  test.model_tester.__class__

 return model_tester



def        UpperCamelCase__		(						__magic_name__  :   List[Any]		,       __magic_name__  :   int      )				->			Dict:
 '''simple docstring'''






 snake_case__     :					List[str]    =  get_test_classes(__magic_name__      )

 snake_case__     :					str    =  []
 for test_class in test_classes:
  if model_class in test_class.all_model_classes:
   target_test_classes.append(__magic_name__      )

    # sort with class names
 return sorted(__magic_name__		,       key=lambda __magic_name__      : x.__name__      )



def        UpperCamelCase__		(						__magic_name__  :   List[str]		,       __magic_name__  :   Dict      )				->			Optional[int]:
 '''simple docstring'''






 snake_case__     :					Tuple    =  get_test_classes_for_model(__magic_name__		,       __magic_name__      )

 snake_case__     :					List[Any]    =  []
 for test_class in test_classes:
  snake_case__     :					List[str]    =  get_model_tester_from_test_class(__magic_name__      )
  if tester_class is not None:
   tester_classes.append(__magic_name__      )

    # sort with class names
 return sorted(__magic_name__		,       key=lambda __magic_name__      : x.__name__      )



def        UpperCamelCase__		(						__magic_name__  :   Tuple      )				->			Optional[int]:
 '''simple docstring'''






 snake_case__     :					List[Any]    =  get_test_classes(__magic_name__      )
 snake_case__     :					Union[str, Any]    =  {test_class: get_model_tester_from_test_class(__magic_name__      ) for test_class in test_classes}
 return test_tester_mapping



def        UpperCamelCase__		(						__magic_name__  :   Tuple      )				->			str:
 '''simple docstring'''






 snake_case__     :					Any    =  get_model_classes(__magic_name__      )
 snake_case__     :					str    =  {
     model_class: get_test_classes_for_model(__magic_name__		,       __magic_name__      ) for model_class in model_classes
 }
 return model_test_mapping



def        UpperCamelCase__		(						__magic_name__  :   Dict      )				->			Union[str, Any]:
 '''simple docstring'''






 snake_case__     :					int    =  get_model_classes(__magic_name__      )
 snake_case__     :					Union[str, Any]    =  {
     model_class: get_tester_classes_for_model(__magic_name__		,       __magic_name__      ) for model_class in model_classes
 }
 return model_to_tester_mapping





def        UpperCamelCase__		(						__magic_name__  :   Tuple      )				->			Any:
 '''simple docstring'''






 if isinstance(__magic_name__		,       __magic_name__      ):
  return o
 elif isinstance(__magic_name__		,       __magic_name__      ):
  return o.__name__
 elif isinstance(__magic_name__		,       (list, tuple)      ):
  return [to_json(__magic_name__      ) for x in o]
 elif isinstance(__magic_name__		,       __magic_name__      ):
  return {to_json(__magic_name__      ): to_json(__magic_name__      ) for k, v in o.items()}
 else:
  return o








"""simple docstring"""
from collections import OrderedDict

from ...utils import logging
from .auto_factory import _BaseAutoModelClass, _LazyAutoMapping, auto_class_update
from .configuration_auto import CONFIG_MAPPING_NAMES


UpperCAmelCase				=						logging.get_logger(__name__)


UpperCAmelCase				=						OrderedDict(
    [
        # Base model mapping
        ("""albert""", """FlaxAlbertModel"""),
        ("""bart""", """FlaxBartModel"""),
        ("""beit""", """FlaxBeitModel"""),
        ("""bert""", """FlaxBertModel"""),
        ("""big_bird""", """FlaxBigBirdModel"""),
        ("""blenderbot""", """FlaxBlenderbotModel"""),
        ("""blenderbot-small""", """FlaxBlenderbotSmallModel"""),
        ("""clip""", """FlaxCLIPModel"""),
        ("""distilbert""", """FlaxDistilBertModel"""),
        ("""electra""", """FlaxElectraModel"""),
        ("""gpt-sw3""", """FlaxGPT2Model"""),
        ("""gpt2""", """FlaxGPT2Model"""),
        ("""gpt_neo""", """FlaxGPTNeoModel"""),
        ("""gptj""", """FlaxGPTJModel"""),
        ("""longt5""", """FlaxLongT5Model"""),
        ("""marian""", """FlaxMarianModel"""),
        ("""mbart""", """FlaxMBartModel"""),
        ("""mt5""", """FlaxMT5Model"""),
        ("""opt""", """FlaxOPTModel"""),
        ("""pegasus""", """FlaxPegasusModel"""),
        ("""regnet""", """FlaxRegNetModel"""),
        ("""resnet""", """FlaxResNetModel"""),
        ("""roberta""", """FlaxRobertaModel"""),
        ("""roberta-prelayernorm""", """FlaxRobertaPreLayerNormModel"""),
        ("""roformer""", """FlaxRoFormerModel"""),
        ("""t5""", """FlaxT5Model"""),
        ("""vision-text-dual-encoder""", """FlaxVisionTextDualEncoderModel"""),
        ("""vit""", """FlaxViTModel"""),
        ("""wav2vec2""", """FlaxWav2Vec2Model"""),
        ("""whisper""", """FlaxWhisperModel"""),
        ("""xglm""", """FlaxXGLMModel"""),
        ("""xlm-roberta""", """FlaxXLMRobertaModel"""),
    ]
)

UpperCAmelCase				=						OrderedDict(
    [
        # Model for pre-training mapping
        ("""albert""", """FlaxAlbertForPreTraining"""),
        ("""bart""", """FlaxBartForConditionalGeneration"""),
        ("""bert""", """FlaxBertForPreTraining"""),
        ("""big_bird""", """FlaxBigBirdForPreTraining"""),
        ("""electra""", """FlaxElectraForPreTraining"""),
        ("""longt5""", """FlaxLongT5ForConditionalGeneration"""),
        ("""mbart""", """FlaxMBartForConditionalGeneration"""),
        ("""mt5""", """FlaxMT5ForConditionalGeneration"""),
        ("""roberta""", """FlaxRobertaForMaskedLM"""),
        ("""roberta-prelayernorm""", """FlaxRobertaPreLayerNormForMaskedLM"""),
        ("""roformer""", """FlaxRoFormerForMaskedLM"""),
        ("""t5""", """FlaxT5ForConditionalGeneration"""),
        ("""wav2vec2""", """FlaxWav2Vec2ForPreTraining"""),
        ("""whisper""", """FlaxWhisperForConditionalGeneration"""),
        ("""xlm-roberta""", """FlaxXLMRobertaForMaskedLM"""),
    ]
)

UpperCAmelCase				=						OrderedDict(
    [
        # Model for Masked LM mapping
        ("""albert""", """FlaxAlbertForMaskedLM"""),
        ("""bart""", """FlaxBartForConditionalGeneration"""),
        ("""bert""", """FlaxBertForMaskedLM"""),
        ("""big_bird""", """FlaxBigBirdForMaskedLM"""),
        ("""distilbert""", """FlaxDistilBertForMaskedLM"""),
        ("""electra""", """FlaxElectraForMaskedLM"""),
        ("""mbart""", """FlaxMBartForConditionalGeneration"""),
        ("""roberta""", """FlaxRobertaForMaskedLM"""),
        ("""roberta-prelayernorm""", """FlaxRobertaPreLayerNormForMaskedLM"""),
        ("""roformer""", """FlaxRoFormerForMaskedLM"""),
        ("""xlm-roberta""", """FlaxXLMRobertaForMaskedLM"""),
    ]
)

UpperCAmelCase				=						OrderedDict(
    [
        # Model for Seq2Seq Causal LM mapping
        ("""bart""", """FlaxBartForConditionalGeneration"""),
        ("""blenderbot""", """FlaxBlenderbotForConditionalGeneration"""),
        ("""blenderbot-small""", """FlaxBlenderbotSmallForConditionalGeneration"""),
        ("""encoder-decoder""", """FlaxEncoderDecoderModel"""),
        ("""longt5""", """FlaxLongT5ForConditionalGeneration"""),
        ("""marian""", """FlaxMarianMTModel"""),
        ("""mbart""", """FlaxMBartForConditionalGeneration"""),
        ("""mt5""", """FlaxMT5ForConditionalGeneration"""),
        ("""pegasus""", """FlaxPegasusForConditionalGeneration"""),
        ("""t5""", """FlaxT5ForConditionalGeneration"""),
    ]
)

UpperCAmelCase				=						OrderedDict(
    [
        # Model for Image-classsification
        ("""beit""", """FlaxBeitForImageClassification"""),
        ("""regnet""", """FlaxRegNetForImageClassification"""),
        ("""resnet""", """FlaxResNetForImageClassification"""),
        ("""vit""", """FlaxViTForImageClassification"""),
    ]
)

UpperCAmelCase				=						OrderedDict(
    [
        ("""vision-encoder-decoder""", """FlaxVisionEncoderDecoderModel"""),
    ]
)

UpperCAmelCase				=						OrderedDict(
    [
        # Model for Causal LM mapping
        ("""bart""", """FlaxBartForCausalLM"""),
        ("""bert""", """FlaxBertForCausalLM"""),
        ("""big_bird""", """FlaxBigBirdForCausalLM"""),
        ("""electra""", """FlaxElectraForCausalLM"""),
        ("""gpt-sw3""", """FlaxGPT2LMHeadModel"""),
        ("""gpt2""", """FlaxGPT2LMHeadModel"""),
        ("""gpt_neo""", """FlaxGPTNeoForCausalLM"""),
        ("""gptj""", """FlaxGPTJForCausalLM"""),
        ("""opt""", """FlaxOPTForCausalLM"""),
        ("""roberta""", """FlaxRobertaForCausalLM"""),
        ("""roberta-prelayernorm""", """FlaxRobertaPreLayerNormForCausalLM"""),
        ("""xglm""", """FlaxXGLMForCausalLM"""),
        ("""xlm-roberta""", """FlaxXLMRobertaForCausalLM"""),
    ]
)

UpperCAmelCase				=						OrderedDict(
    [
        # Model for Sequence Classification mapping
        ("""albert""", """FlaxAlbertForSequenceClassification"""),
        ("""bart""", """FlaxBartForSequenceClassification"""),
        ("""bert""", """FlaxBertForSequenceClassification"""),
        ("""big_bird""", """FlaxBigBirdForSequenceClassification"""),
        ("""distilbert""", """FlaxDistilBertForSequenceClassification"""),
        ("""electra""", """FlaxElectraForSequenceClassification"""),
        ("""mbart""", """FlaxMBartForSequenceClassification"""),
        ("""roberta""", """FlaxRobertaForSequenceClassification"""),
        ("""roberta-prelayernorm""", """FlaxRobertaPreLayerNormForSequenceClassification"""),
        ("""roformer""", """FlaxRoFormerForSequenceClassification"""),
        ("""xlm-roberta""", """FlaxXLMRobertaForSequenceClassification"""),
    ]
)

UpperCAmelCase				=						OrderedDict(
    [
        # Model for Question Answering mapping
        ("""albert""", """FlaxAlbertForQuestionAnswering"""),
        ("""bart""", """FlaxBartForQuestionAnswering"""),
        ("""bert""", """FlaxBertForQuestionAnswering"""),
        ("""big_bird""", """FlaxBigBirdForQuestionAnswering"""),
        ("""distilbert""", """FlaxDistilBertForQuestionAnswering"""),
        ("""electra""", """FlaxElectraForQuestionAnswering"""),
        ("""mbart""", """FlaxMBartForQuestionAnswering"""),
        ("""roberta""", """FlaxRobertaForQuestionAnswering"""),
        ("""roberta-prelayernorm""", """FlaxRobertaPreLayerNormForQuestionAnswering"""),
        ("""roformer""", """FlaxRoFormerForQuestionAnswering"""),
        ("""xlm-roberta""", """FlaxXLMRobertaForQuestionAnswering"""),
    ]
)

UpperCAmelCase				=						OrderedDict(
    [
        # Model for Token Classification mapping
        ("""albert""", """FlaxAlbertForTokenClassification"""),
        ("""bert""", """FlaxBertForTokenClassification"""),
        ("""big_bird""", """FlaxBigBirdForTokenClassification"""),
        ("""distilbert""", """FlaxDistilBertForTokenClassification"""),
        ("""electra""", """FlaxElectraForTokenClassification"""),
        ("""roberta""", """FlaxRobertaForTokenClassification"""),
        ("""roberta-prelayernorm""", """FlaxRobertaPreLayerNormForTokenClassification"""),
        ("""roformer""", """FlaxRoFormerForTokenClassification"""),
        ("""xlm-roberta""", """FlaxXLMRobertaForTokenClassification"""),
    ]
)

UpperCAmelCase				=						OrderedDict(
    [
        # Model for Multiple Choice mapping
        ("""albert""", """FlaxAlbertForMultipleChoice"""),
        ("""bert""", """FlaxBertForMultipleChoice"""),
        ("""big_bird""", """FlaxBigBirdForMultipleChoice"""),
        ("""distilbert""", """FlaxDistilBertForMultipleChoice"""),
        ("""electra""", """FlaxElectraForMultipleChoice"""),
        ("""roberta""", """FlaxRobertaForMultipleChoice"""),
        ("""roberta-prelayernorm""", """FlaxRobertaPreLayerNormForMultipleChoice"""),
        ("""roformer""", """FlaxRoFormerForMultipleChoice"""),
        ("""xlm-roberta""", """FlaxXLMRobertaForMultipleChoice"""),
    ]
)

UpperCAmelCase				=						OrderedDict(
    [
        ("""bert""", """FlaxBertForNextSentencePrediction"""),
    ]
)

UpperCAmelCase				=						OrderedDict(
    [
        ("""speech-encoder-decoder""", """FlaxSpeechEncoderDecoderModel"""),
        ("""whisper""", """FlaxWhisperForConditionalGeneration"""),
    ]
)

UpperCAmelCase				=						OrderedDict(
    [
        ("""whisper""", """FlaxWhisperForAudioClassification"""),
    ]
)

UpperCAmelCase				=						_LazyAutoMapping(CONFIG_MAPPING_NAMES, FLAX_MODEL_MAPPING_NAMES)
UpperCAmelCase				=						_LazyAutoMapping(CONFIG_MAPPING_NAMES, FLAX_MODEL_FOR_PRETRAINING_MAPPING_NAMES)
UpperCAmelCase				=						_LazyAutoMapping(CONFIG_MAPPING_NAMES, FLAX_MODEL_FOR_MASKED_LM_MAPPING_NAMES)
UpperCAmelCase				=						_LazyAutoMapping(
    CONFIG_MAPPING_NAMES, FLAX_MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING_NAMES
)
UpperCAmelCase				=						_LazyAutoMapping(
    CONFIG_MAPPING_NAMES, FLAX_MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING_NAMES
)
UpperCAmelCase				=						_LazyAutoMapping(CONFIG_MAPPING_NAMES, FLAX_MODEL_FOR_VISION_2_SEQ_MAPPING_NAMES)
UpperCAmelCase				=						_LazyAutoMapping(CONFIG_MAPPING_NAMES, FLAX_MODEL_FOR_CAUSAL_LM_MAPPING_NAMES)
UpperCAmelCase				=						_LazyAutoMapping(
    CONFIG_MAPPING_NAMES, FLAX_MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING_NAMES
)
UpperCAmelCase				=						_LazyAutoMapping(
    CONFIG_MAPPING_NAMES, FLAX_MODEL_FOR_QUESTION_ANSWERING_MAPPING_NAMES
)
UpperCAmelCase				=						_LazyAutoMapping(
    CONFIG_MAPPING_NAMES, FLAX_MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING_NAMES
)
UpperCAmelCase				=						_LazyAutoMapping(
    CONFIG_MAPPING_NAMES, FLAX_MODEL_FOR_MULTIPLE_CHOICE_MAPPING_NAMES
)
UpperCAmelCase				=						_LazyAutoMapping(
    CONFIG_MAPPING_NAMES, FLAX_MODEL_FOR_NEXT_SENTENCE_PREDICTION_MAPPING_NAMES
)
UpperCAmelCase				=						_LazyAutoMapping(
    CONFIG_MAPPING_NAMES, FLAX_MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING_NAMES
)
UpperCAmelCase				=						_LazyAutoMapping(
    CONFIG_MAPPING_NAMES, FLAX_MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING_NAMES
)




class 	lowercase__				(					_BaseAutoModelClass				):
   __UpperCAmelCase							       =					FLAX_MODEL_MAPPING







UpperCAmelCase				=						auto_class_update(FlaxAutoModel)




class 	lowercase__				(					_BaseAutoModelClass				):
   __UpperCAmelCase							       =					FLAX_MODEL_FOR_PRETRAINING_MAPPING







UpperCAmelCase				=						auto_class_update(FlaxAutoModelForPreTraining, head_doc="""pretraining""")




class 	lowercase__				(					_BaseAutoModelClass				):
   __UpperCAmelCase							       =					FLAX_MODEL_FOR_CAUSAL_LM_MAPPING







UpperCAmelCase				=						auto_class_update(FlaxAutoModelForCausalLM, head_doc="""causal language modeling""")




class 	lowercase__				(					_BaseAutoModelClass				):
   __UpperCAmelCase							       =					FLAX_MODEL_FOR_MASKED_LM_MAPPING







UpperCAmelCase				=						auto_class_update(FlaxAutoModelForMaskedLM, head_doc="""masked language modeling""")




class 	lowercase__				(					_BaseAutoModelClass				):
   __UpperCAmelCase							       =					FLAX_MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING







UpperCAmelCase				=						auto_class_update(
    FlaxAutoModelForSeqaSeqLM, head_doc="""sequence-to-sequence language modeling""", checkpoint_for_example="""t5-base"""
)




class 	lowercase__				(					_BaseAutoModelClass				):
   __UpperCAmelCase							       =					FLAX_MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING







UpperCAmelCase				=						auto_class_update(
    FlaxAutoModelForSequenceClassification, head_doc="""sequence classification"""
)




class 	lowercase__				(					_BaseAutoModelClass				):
   __UpperCAmelCase							       =					FLAX_MODEL_FOR_QUESTION_ANSWERING_MAPPING







UpperCAmelCase				=						auto_class_update(FlaxAutoModelForQuestionAnswering, head_doc="""question answering""")




class 	lowercase__				(					_BaseAutoModelClass				):
   __UpperCAmelCase							       =					FLAX_MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING







UpperCAmelCase				=						auto_class_update(
    FlaxAutoModelForTokenClassification, head_doc="""token classification"""
)




class 	lowercase__				(					_BaseAutoModelClass				):
   __UpperCAmelCase							       =					FLAX_MODEL_FOR_MULTIPLE_CHOICE_MAPPING







UpperCAmelCase				=						auto_class_update(FlaxAutoModelForMultipleChoice, head_doc="""multiple choice""")




class 	lowercase__				(					_BaseAutoModelClass				):
   __UpperCAmelCase							       =					FLAX_MODEL_FOR_NEXT_SENTENCE_PREDICTION_MAPPING







UpperCAmelCase				=						auto_class_update(
    FlaxAutoModelForNextSentencePrediction, head_doc="""next sentence prediction"""
)




class 	lowercase__				(					_BaseAutoModelClass				):
   __UpperCAmelCase							       =					FLAX_MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING







UpperCAmelCase				=						auto_class_update(
    FlaxAutoModelForImageClassification, head_doc="""image classification"""
)




class 	lowercase__				(					_BaseAutoModelClass				):
   __UpperCAmelCase							       =					FLAX_MODEL_FOR_VISION_2_SEQ_MAPPING







UpperCAmelCase				=						auto_class_update(FlaxAutoModelForVisionaSeq, head_doc="""vision-to-text modeling""")




class 	lowercase__				(					_BaseAutoModelClass				):
   __UpperCAmelCase							       =					FLAX_MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING







UpperCAmelCase				=						auto_class_update(
    FlaxAutoModelForSpeechSeqaSeq, head_doc="""sequence-to-sequence speech-to-text modeling"""
)

