


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	: Union[str, Any]  				=logging.get_logger(__name__)

__lowerCAmelCase	: str  				={
    'facebook/data2vec-vision-base-ft': (
        'https://huggingface.co/facebook/data2vec-vision-base-ft/resolve/main/config.json'
    ),
}
class        _lowercase      (			A__       ):






				'''simple docstring'''



				SCREAMING_SNAKE_CASE__				:			Dict						=		'''data2vec-vision'''


				def __init__(       self			:List[Any]			,			lowerCAmelCase__			:Union[str, Any]=768			,			lowerCAmelCase__			:Union[str, Any]=12			,			lowerCAmelCase__			:List[Any]=12			,			lowerCAmelCase__			:Optional[Any]=3_072			,			lowerCAmelCase__			:Dict="gelu"			,			lowerCAmelCase__			:List[Any]=0.0			,			lowerCAmelCase__			:str=0.0			,			lowerCAmelCase__			:Union[str, Any]=0.02			,			lowerCAmelCase__			:int=1E-1_2			,			lowerCAmelCase__			:int=224			,			lowerCAmelCase__			:Union[str, Any]=16			,			lowerCAmelCase__			:Tuple=3			,			lowerCAmelCase__			:str=False			,			lowerCAmelCase__			:Union[str, Any]=False			,			lowerCAmelCase__			:int=False			,			lowerCAmelCase__			:List[Any]=False			,			lowerCAmelCase__			:str=0.1			,			lowerCAmelCase__			:str=0.1			,			lowerCAmelCase__			:Dict=True			,			lowerCAmelCase__			:List[Any]=[3, 5, 7, 11]			,			lowerCAmelCase__			:List[str]=[1, 2, 3, 6]			,			lowerCAmelCase__			:Optional[Any]=True			,			lowerCAmelCase__			:Any=0.4			,			lowerCAmelCase__			:Optional[int]=256			,			lowerCAmelCase__			:Tuple=1			,			lowerCAmelCase__			:Any=False			,			lowerCAmelCase__			:str=255			,			**lowerCAmelCase__			:Optional[Any]			,			)		->			Dict:
										super().__init__(**lowerCAmelCase__	)

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

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




class        _lowercase      (			A__       ):






				'''simple docstring'''



				SCREAMING_SNAKE_CASE__				:			Union[str, Any]						=		version.parse('''1.11'''       )


				@property
				def 		__magic_name__(       self			:Optional[int]	)		->			Mapping[str, Mapping[int, str]]:
										return OrderedDict(
										    [
										        ('''pixel_values''', {0: '''batch''', 1: '''num_channels''', 2: '''height''', 3: '''width'''}),
										    ]	)



				@property
				def 		__magic_name__(       self			:List[str]	)		->			float:
										return 1E-4




from __future__ import annotations

import bisect


def        _UpperCamelCase							(      lowercase__    ,       lowercase__    ,       lowercase__ = 0    ,       lowercase__ = -1      ):
						if hi < 0:
												__SCREAMING_SNAKE_CASE						:     Union[str, Any]					=		len(lowercase__      )

						while lo < hi:
												__SCREAMING_SNAKE_CASE						:     Any					=		lo + (hi - lo) // 2
												if sorted_collection[mid] < item:
																		__SCREAMING_SNAKE_CASE						:     Union[str, Any]					=		mid + 1
												else:
																		__SCREAMING_SNAKE_CASE						:     Optional[Any]					=		mid

						return lo


def        _UpperCamelCase							(      lowercase__    ,       lowercase__    ,       lowercase__ = 0    ,       lowercase__ = -1      ):
						if hi < 0:
												__SCREAMING_SNAKE_CASE						:     List[Any]					=		len(lowercase__      )

						while lo < hi:
												__SCREAMING_SNAKE_CASE						:     Optional[int]					=		lo + (hi - lo) // 2
												if sorted_collection[mid] <= item:
																		__SCREAMING_SNAKE_CASE						:     Any					=		mid + 1
												else:
																		__SCREAMING_SNAKE_CASE						:     Optional[int]					=		mid

						return lo


def        _UpperCamelCase							(      lowercase__    ,       lowercase__    ,       lowercase__ = 0    ,       lowercase__ = -1      ):
						sorted_collection.insert(bisect_left(lowercase__    ,       lowercase__    ,       lowercase__    ,       lowercase__      )    ,       lowercase__      )


def        _UpperCamelCase							(      lowercase__    ,       lowercase__    ,       lowercase__ = 0    ,       lowercase__ = -1      ):
						sorted_collection.insert(bisect_right(lowercase__    ,       lowercase__    ,       lowercase__    ,       lowercase__      )    ,       lowercase__      )


def        _UpperCamelCase							(      lowercase__    ,       lowercase__      ):
						__SCREAMING_SNAKE_CASE						:     Any					=		0
						__SCREAMING_SNAKE_CASE						:     List[Any]					=		len(lowercase__      ) - 1

						while left <= right:
												__SCREAMING_SNAKE_CASE						:     str					=		left + (right - left) // 2
												__SCREAMING_SNAKE_CASE						:     List[str]					=		sorted_collection[midpoint]
												if current_item == item:
																		return midpoint
												elif item < current_item:
																		__SCREAMING_SNAKE_CASE						:     int					=		midpoint - 1
												else:
																		__SCREAMING_SNAKE_CASE						:     Dict					=		midpoint + 1
						return None


def        _UpperCamelCase							(      lowercase__    ,       lowercase__      ):
						__SCREAMING_SNAKE_CASE						:     Union[str, Any]					=		bisect.bisect_left(lowercase__    ,       lowercase__      )
						if index != len(lowercase__      ) and sorted_collection[index] == item:
												return index
						return None


def        _UpperCamelCase							(      lowercase__    ,       lowercase__    ,       lowercase__    ,       lowercase__      ):
						if right < left:
												return None

						__SCREAMING_SNAKE_CASE						:     int					=		left + (right - left) // 2

						if sorted_collection[midpoint] == item:
												return midpoint
						elif sorted_collection[midpoint] > item:
												return binary_search_by_recursion(lowercase__    ,       lowercase__    ,       lowercase__    ,       midpoint - 1      )
						else:
												return binary_search_by_recursion(lowercase__    ,       lowercase__    ,       midpoint + 1    ,       lowercase__      )


if __name__ == "__main__":
						__lowerCAmelCase	: Dict  				=input('Enter numbers separated by comma:\n').strip()
						__lowerCAmelCase	: str  				=sorted(int(item) for item in user_input.split(','))
						__lowerCAmelCase	: Tuple  				=int(input('Enter a single number to be found in the list:\n'))
						__lowerCAmelCase	: Tuple  				=binary_search(collection, target)
						if result is None:
												print(f"""{target} was not found in {collection}.""")
						else:
												print(f"""{target} was found at position {result} in {collection}.""")
