




# Lint as: python3

import hashlib
from typing import Union





def 							A__   (snake_case      :		Union[str, int, bytes]							)    ->	bytes:
     if isinstance(snake_case		,  snake_case							):
          # Data already in bytes, returns as it as
          return hash_data
     elif isinstance(snake_case		,  snake_case							):
          # We keep the data as it as for it ot be later encoded to UTF-8
          # However replace `\\` with `/` for Windows compatibility
          __UpperCamelCase				:  int								=			hash_data.replace("""\\"""		,  """/"""							)
     elif isinstance(snake_case		,  snake_case							):
          __UpperCamelCase				:  Tuple								=			str(snake_case							)
     else:
          # If data is not of the required type, raise error
          raise InvalidKeyError(snake_case							)

     return hash_data.encode("""utf-8"""							)


class       SCREAMING_SNAKE_CASE_							(					_UpperCamelCase      ):



 """simple docstring"""


 def __init__(				self		:	Optional[Any]				,    lowerCAmelCase		:	Optional[Any]  )  ->					List[Any]:







      """simple docstring"""







      __UpperCamelCase				:  str								=			"""\nFAILURE TO GENERATE DATASET: Invalid key type detected"""
      __UpperCamelCase				:  str								=			F'''\nFound Key {hash_data} of type {type(lowerCAmelCase  )}'''
      __UpperCamelCase				:  Tuple								=			"""\nKeys should be either str, int or bytes type"""
      super().__init__(F'''{self.prefix}{self.err_msg}{self.suffix}'''  )






class       SCREAMING_SNAKE_CASE_							(					_UpperCamelCase      ):



 """simple docstring"""


 def __init__(				self		:	Any				,    lowerCAmelCase		:	Optional[int]				,    lowerCAmelCase		:	Tuple				,    lowerCAmelCase		:	str=""  )  ->					str:







      """simple docstring"""







      __UpperCamelCase				:  Tuple								=			key
      __UpperCamelCase				:  Tuple								=			duplicate_key_indices
      __UpperCamelCase				:  Tuple								=			fix_msg
      __UpperCamelCase				:  Tuple								=			"""Found multiple examples generated with the same key"""
      if len(lowerCAmelCase  ) <= 20:
           __UpperCamelCase				:  Tuple								=			F'''\nThe examples at index {", ".join(lowerCAmelCase  )} have the key {key}'''
      else:
           __UpperCamelCase				:  Dict								=			F'''\nThe examples at index {", ".join(duplicate_key_indices[:20]  )}... ({len(lowerCAmelCase  ) - 20} more) have the key {key}'''
      __UpperCamelCase				:  Union[str, Any]								=			"""\n""" + fix_msg if fix_msg else """"""
      super().__init__(F'''{self.prefix}{self.err_msg}{self.suffix}'''  )






class       SCREAMING_SNAKE_CASE_							:



 """simple docstring"""


 def __init__(				self		:	int				,    lowerCAmelCase		:	str  )  ->					Any:







      """simple docstring"""







      __UpperCamelCase				:  int								=			hashlib.mda(_as_bytes(lowerCAmelCase  )  )






 def 				lowerCamelCase__    (				self		:	Any				,    lowerCAmelCase		:	Union[str, int, bytes]  )  ->					int:







      """simple docstring"""







      __UpperCamelCase				:  Any								=			self._split_mda.copy()
      __UpperCamelCase				:  str								=			_as_bytes(lowerCAmelCase  )
      mda.update(lowerCAmelCase  )
      # Convert to integer with hexadecimal conversion
      return int(mda.hexdigest()				,    16  )












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


a__		    =    logging.get_logger(__name__)

a__		    =    {
    '''apple/mobilevit-small''': '''https://huggingface.co/apple/mobilevit-small/resolve/main/config.json''',
    '''apple/mobilevit-x-small''': '''https://huggingface.co/apple/mobilevit-x-small/resolve/main/config.json''',
    '''apple/mobilevit-xx-small''': '''https://huggingface.co/apple/mobilevit-xx-small/resolve/main/config.json''',
    '''apple/deeplabv3-mobilevit-small''': (
        '''https://huggingface.co/apple/deeplabv3-mobilevit-small/resolve/main/config.json'''
    ),
    '''apple/deeplabv3-mobilevit-x-small''': (
        '''https://huggingface.co/apple/deeplabv3-mobilevit-x-small/resolve/main/config.json'''
    ),
    '''apple/deeplabv3-mobilevit-xx-small''': (
        '''https://huggingface.co/apple/deeplabv3-mobilevit-xx-small/resolve/main/config.json'''
    ),
    # See all MobileViT models at https://huggingface.co/models?filter=mobilevit
}


class       SCREAMING_SNAKE_CASE_							(					_UpperCamelCase      ):



	"""simple docstring"""


	__magic_name__      :					Any			  =		'mobilevit'






	def __init__(				self		:	int				,    lowerCAmelCase		:	Dict=3				,    lowerCAmelCase		:	Dict=256				,    lowerCAmelCase		:	Any=2				,    lowerCAmelCase		:	Any=[144, 192, 240]				,    lowerCAmelCase		:	int=[16, 32, 64, 96, 128, 160, 640]				,    lowerCAmelCase		:	List[Any]=4				,    lowerCAmelCase		:	Tuple=2.0				,    lowerCAmelCase		:	Tuple=4.0				,    lowerCAmelCase		:	List[str]="silu"				,    lowerCAmelCase		:	Tuple=3				,    lowerCAmelCase		:	Tuple=32				,    lowerCAmelCase		:	Any=0.1				,    lowerCAmelCase		:	List[str]=0.0				,    lowerCAmelCase		:	Union[str, Any]=0.1				,    lowerCAmelCase		:	List[str]=0.02				,    lowerCAmelCase		:	Optional[Any]=1E-5				,    lowerCAmelCase		:	Union[str, Any]=True				,    lowerCAmelCase		:	List[str]=256				,    lowerCAmelCase		:	List[Any]=[6, 12, 18]				,    lowerCAmelCase		:	Tuple=0.1				,    lowerCAmelCase		:	List[str]=255				,    **lowerCAmelCase		:	Union[str, Any]				,    )  ->					Optional[Any]:







						"""simple docstring"""







						super().__init__(**lowerCAmelCase  )

						__UpperCamelCase				:  Tuple								=			num_channels
						__UpperCamelCase				:  Union[str, Any]								=			image_size
						__UpperCamelCase				:  List[Any]								=			patch_size
						__UpperCamelCase				:  Optional[int]								=			hidden_sizes
						__UpperCamelCase				:  Union[str, Any]								=			neck_hidden_sizes
						__UpperCamelCase				:  List[str]								=			num_attention_heads
						__UpperCamelCase				:  Union[str, Any]								=			mlp_ratio
						__UpperCamelCase				:  Tuple								=			expand_ratio
						__UpperCamelCase				:  Optional[Any]								=			hidden_act
						__UpperCamelCase				:  int								=			conv_kernel_size
						__UpperCamelCase				:  Any								=			output_stride
						__UpperCamelCase				:  int								=			hidden_dropout_prob
						__UpperCamelCase				:  Union[str, Any]								=			attention_probs_dropout_prob
						__UpperCamelCase				:  Dict								=			classifier_dropout_prob
						__UpperCamelCase				:  Any								=			initializer_range
						__UpperCamelCase				:  List[str]								=			layer_norm_eps
						__UpperCamelCase				:  Union[str, Any]								=			qkv_bias

						# decode head attributes for semantic segmentation
						__UpperCamelCase				:  Any								=			aspp_out_channels
						__UpperCamelCase				:  Union[str, Any]								=			atrous_rates
						__UpperCamelCase				:  Union[str, Any]								=			aspp_dropout_prob
						__UpperCamelCase				:  List[str]								=			semantic_loss_ignore_index






class       SCREAMING_SNAKE_CASE_							(					_UpperCamelCase      ):



	"""simple docstring"""


	__magic_name__      :					Optional[Any]			  =		version.parse('1.11'      )






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







						"""simple docstring"""







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






	@property
	def 				lowerCamelCase__    (				self		:	List[Any]  )  ->					Mapping[str, Mapping[int, str]]:







						"""simple docstring"""







						if self.task == "image-classification":
											return OrderedDict([("""logits""", {0: """batch"""})]  )
						else:
											return OrderedDict([("""last_hidden_state""", {0: """batch"""}), ("""pooler_output""", {0: """batch"""})]  )






	@property
	def 				lowerCamelCase__    (				self		:	Optional[int]  )  ->					float:







						"""simple docstring"""







						return 1E-4






