



def        A       (      _lowerCamelCase       ,				_lowerCamelCase       ,				_lowerCamelCase=False						):





							'''simple docstring'''




							if isinstance(_lowerCamelCase       ,				_lowerCamelCase						) and isinstance(_lowerCamelCase       ,				_lowerCamelCase						):
														_lowerCAmelCase  :							Optional[int]				     =					len(set_a.intersection(_lowerCamelCase						)						)

														if alternative_union:
																					_lowerCAmelCase  :							Dict				     =					len(_lowerCamelCase						) + len(_lowerCamelCase						)
														else:
																					_lowerCAmelCase  :							Optional[Any]				     =					len(set_a.union(_lowerCamelCase						)						)

														return intersection / union

							if isinstance(_lowerCamelCase       ,				(list, tuple)						) and isinstance(_lowerCamelCase       ,				(list, tuple)						):
														_lowerCAmelCase  :							Optional[Any]				     =					[element for element in set_a if element in set_b]

														if alternative_union:
																					_lowerCAmelCase  :							Optional[Any]				     =					len(_lowerCamelCase						) + len(_lowerCamelCase						)
																					return len(_lowerCamelCase						) / union
														else:
																					_lowerCAmelCase  :							List[str]				     =					set_a + [element for element in set_b if element not in set_a]
																					return len(_lowerCamelCase						) / len(_lowerCamelCase						)

														return len(_lowerCamelCase						) / len(_lowerCamelCase						)
							return None


if __name__ == "__main__":
						_snake_case	=						{"a", "b", "c", "d", "e"}
						_snake_case	=						{"c", "d", "e", "f", "h", "i"}
						print(jaccard_similarity(set_a, set_b))





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


_snake_case	=						logging.get_logger(__name__)

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



class 						UpperCAmelCase_					( a):
							lowerCamelCase__         =	'data2vec-vision'







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

														'''simple docstring'''

														super().__init__(**__a)

														_lowerCAmelCase  :							Dict				     =					hidden_size
														_lowerCAmelCase  :							List[Any]				     =					num_hidden_layers
														_lowerCAmelCase  :							Any				     =					num_attention_heads
														_lowerCAmelCase  :							str				     =					intermediate_size
														_lowerCAmelCase  :							Optional[Any]				     =					hidden_act
														_lowerCAmelCase  :							int				     =					hidden_dropout_prob
														_lowerCAmelCase  :							Dict				     =					attention_probs_dropout_prob
														_lowerCAmelCase  :							Dict				     =					initializer_range
														_lowerCAmelCase  :							List[str]				     =					layer_norm_eps

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



class 						UpperCAmelCase_					( a):
							lowerCamelCase__         =	version.parse('1.11')







							@property
							def      snake_case__   (     self):

														'''simple docstring'''

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







							@property
							def      snake_case__   (     self):

														'''simple docstring'''

														return 1E-4
