




'''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			(_lowerCamelCase				:  Union[str, Any]						)-> Dict:




     '''simple docstring'''





     __snake_case            =	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            =	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            =	components[:-1] + [test_fn.replace('''.py''' ,						''''''						)]
     __snake_case            =	'''.'''.join(_lowerCamelCase						)

     return test_module_path







def       _UpperCamelCase			(_lowerCamelCase				:  Union[str, Any]						)-> Dict:




     '''simple docstring'''





     __snake_case            =	get_module_path(_lowerCamelCase						)
     __snake_case            =	importlib.import_module(_lowerCamelCase						)

     return test_module







def       _UpperCamelCase			(_lowerCamelCase				:  int						)-> List[str]:




     '''simple docstring'''





     __snake_case            =	[]
     __snake_case            =	get_test_module(_lowerCamelCase						)
     for attr in dir(_lowerCamelCase						):
          if attr.endswith('''ModelTester'''						):
               tester_classes.append(getattr(_lowerCamelCase ,						_lowerCamelCase						)						)

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







def       _UpperCamelCase			(_lowerCamelCase				:  Optional[Any]						)-> List[Any]:




     '''simple docstring'''





     __snake_case            =	[]
     __snake_case            =	get_test_module(_lowerCamelCase						)
     for attr in dir(_lowerCamelCase						):
          __snake_case            =	getattr(_lowerCamelCase ,						_lowerCamelCase						)
          # (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            =	getattr(_lowerCamelCase ,						'''all_model_classes''' ,						[]						)
          if len(_lowerCamelCase						) > 0:
               test_classes.append(_lowerCamelCase						)

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







def       _UpperCamelCase			(_lowerCamelCase				:  List[str]						)-> str:




     '''simple docstring'''





     __snake_case            =	get_test_classes(_lowerCamelCase						)
     __snake_case            =	set()
     for test_class in test_classes:
          model_classes.update(test_class.all_model_classes						)

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







def       _UpperCamelCase			(_lowerCamelCase				:  Tuple						)-> Any:




     '''simple docstring'''





     __snake_case            =	test_class()
     if hasattr(_lowerCamelCase ,						'''setUp'''						):
          test.setUp()

     __snake_case            =	None
     if hasattr(_lowerCamelCase ,						'''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            =	test.model_tester.__class__

     return model_tester







def       _UpperCamelCase			(_lowerCamelCase				:  Union[str, Any] ,						_lowerCamelCase				:  Optional[Any]						)-> str:




     '''simple docstring'''





     __snake_case            =	get_test_classes(_lowerCamelCase						)

     __snake_case            =	[]
     for test_class in test_classes:
          if model_class in test_class.all_model_classes:
               target_test_classes.append(_lowerCamelCase						)

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







def       _UpperCamelCase			(_lowerCamelCase				:  List[Any] ,						_lowerCamelCase				:  int						)-> Optional[int]:




     '''simple docstring'''





     __snake_case            =	get_test_classes_for_model(_lowerCamelCase ,						_lowerCamelCase						)

     __snake_case            =	[]
     for test_class in test_classes:
          __snake_case            =	get_model_tester_from_test_class(_lowerCamelCase						)
          if tester_class is not None:
               tester_classes.append(_lowerCamelCase						)

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







def       _UpperCamelCase			(_lowerCamelCase				:  Union[str, Any]						)-> Union[str, Any]:




     '''simple docstring'''





     __snake_case            =	get_test_classes(_lowerCamelCase						)
     __snake_case            =	{test_class: get_model_tester_from_test_class(_lowerCamelCase						) for test_class in test_classes}
     return test_tester_mapping







def       _UpperCamelCase			(_lowerCamelCase				:  Optional[Any]						)-> Union[str, Any]:




     '''simple docstring'''





     __snake_case            =	get_model_classes(_lowerCamelCase						)
     __snake_case            =	{
         model_class: get_test_classes_for_model(_lowerCamelCase ,						_lowerCamelCase						) for model_class in model_classes
     }
     return model_test_mapping







def       _UpperCamelCase			(_lowerCamelCase				:  Optional[Any]						)-> Dict:




     '''simple docstring'''





     __snake_case            =	get_model_classes(_lowerCamelCase						)
     __snake_case            =	{
         model_class: get_tester_classes_for_model(_lowerCamelCase ,						_lowerCamelCase						) for model_class in model_classes
     }
     return model_to_tester_mapping







def       _UpperCamelCase			(_lowerCamelCase				:  Optional[Any]						)-> str:




     '''simple docstring'''





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












'''simple docstring'''



from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging
from ...utils.backbone_utils import BackboneConfigMixin, get_aligned_output_features_output_indices


UpperCAmelCase_							:	int	     =		logging.get_logger(__name__)

UpperCAmelCase_							:	Dict	     =		{
    '''microsoft/swin-tiny-patch4-window7-224''': (
        '''https://huggingface.co/microsoft/swin-tiny-patch4-window7-224/resolve/main/config.json'''
    ),
    # See all Swin models at https://huggingface.co/models?filter=swin
}





class      lowerCAmelCase (			__lowerCAmelCase					, __lowerCAmelCase):
       __lowercase	:   List[Any]										=      '''swin'''

       __lowercase	:   str										=      {
           '''num_attention_heads''': '''num_heads''',
           '''num_hidden_layers''': '''num_layers''',
       }


       def __init__( self     ,	__SCREAMING_SNAKE_CASE=224     ,	__SCREAMING_SNAKE_CASE=4     ,	__SCREAMING_SNAKE_CASE=3     ,	__SCREAMING_SNAKE_CASE=96     ,	__SCREAMING_SNAKE_CASE=[2, 2, 6, 2]     ,	__SCREAMING_SNAKE_CASE=[3, 6, 12, 24]     ,	__SCREAMING_SNAKE_CASE=7     ,	__SCREAMING_SNAKE_CASE=4.0     ,	__SCREAMING_SNAKE_CASE=True     ,	__SCREAMING_SNAKE_CASE=0.0     ,	__SCREAMING_SNAKE_CASE=0.0     ,	__SCREAMING_SNAKE_CASE=0.1     ,	__SCREAMING_SNAKE_CASE="gelu"     ,	__SCREAMING_SNAKE_CASE=False     ,	__SCREAMING_SNAKE_CASE=0.02     ,	__SCREAMING_SNAKE_CASE=1E-5     ,	__SCREAMING_SNAKE_CASE=32     ,	__SCREAMING_SNAKE_CASE=None     ,	__SCREAMING_SNAKE_CASE=None     ,	**__SCREAMING_SNAKE_CASE     ,	)   ->	int:



            '''simple docstring'''




            super().__init__(**__SCREAMING_SNAKE_CASE	)

            __snake_case            =	image_size
            __snake_case            =	patch_size
            __snake_case            =	num_channels
            __snake_case            =	embed_dim
            __snake_case            =	depths
            __snake_case            =	len(__SCREAMING_SNAKE_CASE	)
            __snake_case            =	num_heads
            __snake_case            =	window_size
            __snake_case            =	mlp_ratio
            __snake_case            =	qkv_bias
            __snake_case            =	hidden_dropout_prob
            __snake_case            =	attention_probs_dropout_prob
            __snake_case            =	drop_path_rate
            __snake_case            =	hidden_act
            __snake_case            =	use_absolute_embeddings
            __snake_case            =	layer_norm_eps
            __snake_case            =	initializer_range
            __snake_case            =	encoder_stride
            # we set the hidden_size attribute in order to make Swin work with VisionEncoderDecoderModel
            # this indicates the channel dimension after the last stage of the model
            __snake_case            =	int(embed_dim * 2 ** (len(__SCREAMING_SNAKE_CASE	) - 1)	)
            __snake_case            =	['''stem'''] + [F'''stage{idx}''' for idx in range(1     ,	len(__SCREAMING_SNAKE_CASE	) + 1	)]
            __snake_case       ,     __snake_case            =	get_aligned_output_features_output_indices(
                out_features=__SCREAMING_SNAKE_CASE     ,	out_indices=__SCREAMING_SNAKE_CASE     ,	stage_names=self.stage_names	)





class      lowerCAmelCase (			__lowerCAmelCase):
       __lowercase	:   Optional[int]										=      version.parse('''1.11''')


       @property
       def    lowerCAmelCase   ( self	)   ->	Mapping[str, Mapping[int, str]]:



            '''simple docstring'''




            return OrderedDict(
                [
                    ('''pixel_values''', {0: '''batch''', 1: '''num_channels''', 2: '''height''', 3: '''width'''}),
                ]	)




       @property
       def    lowerCAmelCase   ( self	)   ->	float:



            '''simple docstring'''




            return 1E-4






