



"""simple docstring"""


from collections import OrderedDict
from dataclasses import fields
from typing import Any, Tuple

import numpy as np

from .import_utils import is_torch_available

def 					_lowerCAmelCase (  lowercase_		):






						if is_torch_available():
												import torch

												if isinstance(SCREAMING_SNAKE_CASE__						,      torch.Tensor		):
																		return True

						return isinstance(SCREAMING_SNAKE_CASE__						,      np.ndarray		)







class  A_     (	_UpperCAmelCase							):



						"""simple docstring"""






						def       UpperCAmelCase__	(   self					:Optional[Any]   )							->     List[Any]:
												UpperCAmelCase			 =					fields(self   )

												# Safety and consistency checks
												if not len(lowercase_   ):
																		raise ValueError(f"""{self.__class__.__name__} has no fields."""   )

												UpperCAmelCase			 =					getattr(self  ,    class_fields[0].name   )
												UpperCAmelCase			 =					all(getattr(self  ,    field.name   ) is None for field in class_fields[1:]   )

												if other_fields_are_none and isinstance(lowercase_  ,    lowercase_   ):
																		for key, value in first_field.items():
																								UpperCAmelCase			 =					value
												else:
																		for field in class_fields:
																								UpperCAmelCase			 =					getattr(self  ,    field.name   )
																								if v is not None:
																														UpperCAmelCase			 =					v






						def __delitem__(   self					:Optional[int]  ,    *lowercase_					:Union[str, Any]  ,    **lowercase_					:List[str]   )							->     List[Any]:
												raise Exception(f"""You cannot use ``__delitem__`` on a {self.__class__.__name__} instance."""   )






						def       UpperCAmelCase__	(   self					:Union[str, Any]  ,    *lowercase_					:Optional[int]  ,    **lowercase_					:Dict   )							->     List[str]:
												raise Exception(f"""You cannot use ``setdefault`` on a {self.__class__.__name__} instance."""   )






						def       UpperCAmelCase__	(   self					:Union[str, Any]  ,    *lowercase_					:int  ,    **lowercase_					:Tuple   )							->     Optional[int]:
												raise Exception(f"""You cannot use ``pop`` on a {self.__class__.__name__} instance."""   )






						def       UpperCAmelCase__	(   self					:Optional[Any]  ,    *lowercase_					:Union[str, Any]  ,    **lowercase_					:Dict   )							->     Optional[Any]:
												raise Exception(f"""You cannot use ``update`` on a {self.__class__.__name__} instance."""   )






						def __getitem__(   self					:Optional[Any]  ,    lowercase_					:Tuple   )							->     int:







												if isinstance(lowercase_  ,    lowercase_   ):
																		UpperCAmelCase			 =					dict(self.items()   )
																		return inner_dict[k]
												else:
																		return self.to_tuple()[k]






						def __setattr__(   self					:Optional[Any]  ,    lowercase_					:int  ,    lowercase_					:int   )							->     List[str]:







												if name in self.keys() and value is not None:
																		# Don't call self.__setitem__ to avoid recursion errors
																		super().__setitem__(lowercase_  ,    lowercase_   )
												super().__setattr__(lowercase_  ,    lowercase_   )






						def __setitem__(   self					:Union[str, Any]  ,    lowercase_					:Any  ,    lowercase_					:Optional[Any]   )							->     Dict:
												super().__setitem__(lowercase_  ,    lowercase_   )
												# Don't call self.__setattr__ to avoid recursion errors
												super().__setattr__(lowercase_  ,    lowercase_   )






						def       UpperCAmelCase__	(   self					:List[str]   )							->     Tuple[Any]:
												return tuple(self[k] for k in self.keys()   )








import warnings

from ...utils import logging
from .image_processing_mobilenet_va import MobileNetVaImageProcessor


lowercase_									=    logging.get_logger(__name__)


class 					A		(				_UpperCAmelCase					):







    """simple docstring"""





    def __init__( self					:			str,*lowercase_					:			List[Any],**lowercase_					:			Dict						)->       None:





        '''simple docstring'''







        warnings.warn(
            'The class MobileNetV1FeatureExtractor is deprecated and will be removed in version 5 of Transformers.'
            ' Please use MobileNetV1ImageProcessor instead.',lowercase_,)
        super().__init__(*lowercase_,**lowercase_						)

