




'''simple docstring'''







from typing import List

from .keymap import KEYMAP, get_character





def 						snake_case_							(_a	:							str     ):

    def decorator(_a	:							str     ):
        UpperCAmelCase			       =		getattr(_a    ,   '''handle_key'''    ,   []     )
        handle += [key]
        setattr(_a    ,   '''handle_key'''    ,   _a     )
        return func

    return decorator





def 						snake_case_							(*_a	:							List[str]     ):

    def decorator(_a	:							Optional[int]     ):
        UpperCAmelCase			       =		getattr(_a    ,   '''handle_key'''    ,   []     )
        handle += keys
        setattr(_a    ,   '''handle_key'''    ,   _a     )
        return func

    return decorator


class 			_a  (	__a ):
       def __new__(	cls						:	Tuple   ,				lowercase						:	Tuple   ,				lowercase						:	Optional[int]   ,				lowercase						:	Union[str, Any]				):



           '''simple docstring'''

           UpperCAmelCase			       =		super().__new__(cls   ,				lowercase   ,				lowercase   ,				lowercase				)
           if not hasattr(lowercase   ,				'''key_handler'''				):
               setattr(lowercase   ,				'''key_handler'''   ,				{}				)
           setattr(lowercase   ,				'''handle_input'''   ,				KeyHandler.handle_input				)

           for value in attrs.values():
               UpperCAmelCase			       =		getattr(lowercase   ,				'''handle_key'''   ,				[]				)
               for key in handled_keys:
                   UpperCAmelCase			       =		value
           return new_cls







       @staticmethod
       def     A      (	cls						:	List[str]				):



           '''simple docstring'''

           UpperCAmelCase			       =		get_character()
           if char != KEYMAP["undefined"]:
               UpperCAmelCase			       =		ord(lowercase				)
           UpperCAmelCase			       =		cls.key_handler.get(lowercase				)
           if handler:
               UpperCAmelCase			       =		char
               return handler(cls				)
           else:
               return None






def 						snake_case_							(cls	:							int     ):
    return KeyHandler(cls.__name__    ,   cls.__bases__    ,   cls.__dict__.copy()     )





'''simple docstring'''




from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_torch_available,
)


__lowercase          =  {
    '''configuration_resnet''': ['''RESNET_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''ResNetConfig''', '''ResNetOnnxConfig''']
}

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						__lowercase          =  [
						    '''RESNET_PRETRAINED_MODEL_ARCHIVE_LIST''',
						    '''ResNetForImageClassification''',
						    '''ResNetModel''',
						    '''ResNetPreTrainedModel''',
						    '''ResNetBackbone''',
						]

try:
						if not is_tf_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						__lowercase          =  [
						    '''TF_RESNET_PRETRAINED_MODEL_ARCHIVE_LIST''',
						    '''TFResNetForImageClassification''',
						    '''TFResNetModel''',
						    '''TFResNetPreTrainedModel''',
						]

try:
						if not is_flax_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						__lowercase          =  [
						    '''FlaxResNetForImageClassification''',
						    '''FlaxResNetModel''',
						    '''FlaxResNetPreTrainedModel''',
						]

if TYPE_CHECKING:
						from .configuration_resnet import RESNET_PRETRAINED_CONFIG_ARCHIVE_MAP, ResNetConfig, ResNetOnnxConfig

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_resnet import (
												    RESNET_PRETRAINED_MODEL_ARCHIVE_LIST,
												    ResNetBackbone,
												    ResNetForImageClassification,
												    ResNetModel,
												    ResNetPreTrainedModel,
												)

						try:
												if not is_tf_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_tf_resnet import (
												    TF_RESNET_PRETRAINED_MODEL_ARCHIVE_LIST,
												    TFResNetForImageClassification,
												    TFResNetModel,
												    TFResNetPreTrainedModel,
												)

						try:
												if not is_flax_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_flax_resnet import FlaxResNetForImageClassification, FlaxResNetModel, FlaxResNetPreTrainedModel


else:
						import sys

						__lowercase          =  _LazyModule(__name__, globals()['''__file__'''], _import_structure)




