





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


lowerCAmelCase_    =				logging.get_logger(__name__)

lowerCAmelCase_    =				{
    '''facebook/data2vec-vision-base-ft''': (
        '''https://huggingface.co/facebook/data2vec-vision-base-ft/resolve/main/config.json'''
    ),
}



class 					__lowerCAmelCase       (			_a     ):
			lowerCamelCase_     :     Any       			=      '''data2vec-vision'''






			def __init__(self					,							__magic_name__=768					,							__magic_name__=12					,							__magic_name__=12					,							__magic_name__=3072					,							__magic_name__="gelu"					,							__magic_name__=0.0					,							__magic_name__=0.0					,							__magic_name__=0.02					,							__magic_name__=1e-12					,							__magic_name__=224					,							__magic_name__=16					,							__magic_name__=3					,							__magic_name__=False					,							__magic_name__=False					,							__magic_name__=False					,							__magic_name__=False					,							__magic_name__=0.1					,							__magic_name__=0.1					,							__magic_name__=True					,							__magic_name__=[3, 5, 7, 11]					,							__magic_name__=[1, 2, 3, 6]					,							__magic_name__=True					,							__magic_name__=0.4					,							__magic_name__=256					,							__magic_name__=1					,							__magic_name__=False					,							__magic_name__=255					,							**__magic_name__					,							)     ->   int:


							'''simple docstring'''



							super().__init__(**__magic_name__    )

							snake_case_						:    Any				=  hidden_size
							snake_case_						:    Dict				=  num_hidden_layers
							snake_case_						:    Union[str, Any]				=  num_attention_heads
							snake_case_						:    Optional[int]				=  intermediate_size
							snake_case_						:    Dict				=  hidden_act
							snake_case_						:    Any				=  hidden_dropout_prob
							snake_case_						:    Optional[int]				=  attention_probs_dropout_prob
							snake_case_						:    Tuple				=  initializer_range
							snake_case_						:    str				=  layer_norm_eps

							snake_case_						:    Optional[int]				=  image_size
							snake_case_						:    Any				=  patch_size
							snake_case_						:    Union[str, Any]				=  num_channels
							snake_case_						:    Any				=  use_mask_token
							snake_case_						:    Union[str, Any]				=  use_absolute_position_embeddings
							snake_case_						:    Any				=  use_relative_position_bias
							snake_case_						:    List[Any]				=  use_shared_relative_position_bias
							snake_case_						:    Optional[int]				=  layer_scale_init_value
							snake_case_						:    List[str]				=  drop_path_rate
							snake_case_						:    Dict				=  use_mean_pooling
							# decode head attributes (semantic segmentation)
							snake_case_						:    str				=  out_indices
							snake_case_						:    Dict				=  pool_scales
							# auxiliary head attributes (semantic segmentation)
							snake_case_						:    str				=  use_auxiliary_head
							snake_case_						:    List[str]				=  auxiliary_loss_weight
							snake_case_						:    List[Any]				=  auxiliary_channels
							snake_case_						:    List[str]				=  auxiliary_num_convs
							snake_case_						:    Dict				=  auxiliary_concat_input
							snake_case_						:    Any				=  semantic_loss_ignore_index




class 					__lowerCAmelCase       (			_a     ):
			lowerCamelCase_     :     List[Any]       			=      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







from __future__ import annotations






def      lowerCamelCase_						(				_UpperCamelCase ,				_UpperCamelCase ,				_UpperCamelCase )		->						tuple[float, list[float]]:






				"""simple docstring"""


				snake_case_						:    Dict				=  list(range(len(_UpperCamelCase ) ) )
				snake_case_						:    Dict				=  [v / w for v, w in zip(_UpperCamelCase ,				_UpperCamelCase )]
				index.sort(key=lambda _UpperCamelCase : ratio[i] ,				reverse=_UpperCamelCase )

				snake_case_						:    float				=  0
				snake_case_						:    list[float]				=  [0] * len(_UpperCamelCase )
				for i in index:
								if weight[i] <= capacity:
												snake_case_						:    Dict				=  1
												max_value += value[i]
												capacity -= weight[i]
								else:
												snake_case_						:    Union[str, Any]				=  capacity / weight[i]
												max_value += value[i] * capacity / weight[i]
												break

				return max_value, fractions


if __name__ == "__main__":
	import doctest

	doctest.testmod()
