

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 		_snake_case(       SCREAMING_SNAKE_CASE__     :      Optional[Any] )				-> List[Any]:





    '''simple docstring'''






    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 		snake_case__	( self					:			Optional[Any]						)->       List[Any]:





        '''simple docstring'''







        A__        =  fields(self						)

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

        A__        =  getattr(self,class_fields[0].name						)
        A__        =  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():
                A__        =  value
        else:
            for field in class_fields:
                A__        =  getattr(self,field.name						)
                if v is not None:
                    A__        =  v


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





        '''simple docstring'''







        raise Exception(F'You cannot use ``__delitem__`` on a {self.__class__.__name__} instance.'						)


    def 		snake_case__	( self					:			Union[str, Any],*lowercase_					:			Optional[int],**lowercase_					:			Dict						)->       List[str]:





        '''simple docstring'''







        raise Exception(F'You cannot use ``setdefault`` on a {self.__class__.__name__} instance.'						)


    def 		snake_case__	( self					:			Union[str, Any],*lowercase_					:			int,**lowercase_					:			Tuple						)->       Optional[int]:





        '''simple docstring'''







        raise Exception(F'You cannot use ``pop`` on a {self.__class__.__name__} instance.'						)


    def 		snake_case__	( self					:			Optional[Any],*lowercase_					:			Union[str, Any],**lowercase_					:			Dict						)->       Optional[Any]:





        '''simple docstring'''







        raise Exception(F'You cannot use ``update`` on a {self.__class__.__name__} instance.'						)


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





        '''simple docstring'''







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


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





        '''simple docstring'''







        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:





        '''simple docstring'''







        super().__setitem__(lowercase_,lowercase_						)
        # Don't call self.__setattr__ to avoid recursion errors
        super().__setattr__(lowercase_,lowercase_						)


    def 		snake_case__	( self					:			List[str]						)->       Tuple[Any]:





        '''simple docstring'''







        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_						)

