





'''simple docstring'''






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             =			{
    'microsoft/beit-base-patch16-224-pt22k': (
        'https://huggingface.co/microsoft/beit-base-patch16-224-pt22k/resolve/main/config.json'
    ),
    # See all BEiT models at https://huggingface.co/models?filter=beit
}







class 			lowerCamelCase					(						__UpperCAmelCase  ):
					_SCREAMING_SNAKE_CASE							   =    "beit"


					def __init__(					self	:  Dict       ,     __snake_case	:  Any=81_92       ,     __snake_case	:  Any=7_68       ,     __snake_case	:  Optional[Any]=12       ,     __snake_case	:  Any=12       ,     __snake_case	:  str=30_72       ,     __snake_case	:  List[str]="gelu"       ,     __snake_case	:  Any=0.0       ,     __snake_case	:  List[Any]=0.0       ,     __snake_case	:  str=0.02       ,     __snake_case	:  Tuple=1e-12       ,     __snake_case	:  Dict=2_24       ,     __snake_case	:  Optional[int]=16       ,     __snake_case	:  str=3       ,     __snake_case	:  str=False       ,     __snake_case	:  str=False       ,     __snake_case	:  Optional[Any]=False       ,     __snake_case	:  Tuple=False       ,     __snake_case	:  int=0.1       ,     __snake_case	:  Union[str, Any]=0.1       ,     __snake_case	:  Optional[Any]=True       ,     __snake_case	:  Union[str, Any]=[3, 5, 7, 11]       ,     __snake_case	:  Optional[Any]=[1, 2, 3, 6]       ,     __snake_case	:  Dict=True       ,     __snake_case	:  List[str]=0.4       ,     __snake_case	:  List[Any]=2_56       ,     __snake_case	:  int=1       ,     __snake_case	:  Optional[Any]=False       ,     __snake_case	:  int=2_55       ,     **__snake_case	:  Dict       ,     ):





											'''simple docstring'''





											super().__init__(**_UpperCAmelCase       )

											_snake_case:   Tuple  					=		vocab_size
											_snake_case:   int  					=		hidden_size
											_snake_case:   int  					=		num_hidden_layers
											_snake_case:   List[Any]  					=		num_attention_heads
											_snake_case:   Optional[Any]  					=		intermediate_size
											_snake_case:   int  					=		hidden_act
											_snake_case:   Tuple  					=		hidden_dropout_prob
											_snake_case:   Any  					=		attention_probs_dropout_prob
											_snake_case:   List[str]  					=		initializer_range
											_snake_case:   List[str]  					=		layer_norm_eps

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







class 			lowerCamelCase					(						__UpperCAmelCase  ):
					_SCREAMING_SNAKE_CASE							   =    version.parse("1.11"  )


					@property
					def    SCREAMING_SNAKE_CASE_		(					self	:  Optional[Any]       ):





											'''simple docstring'''





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




					@property
					def    SCREAMING_SNAKE_CASE_		(					self	:  Tuple       ):





											'''simple docstring'''





											return 1e-4












'''simple docstring'''






from __future__ import annotations

A   : Union[str, Any]             =			[-10, -5, 0, 5, 5.1, 11, 13, 21, 3, 4, -21, -10, -5, -1, 0]
A   : Optional[int]             =			[-5, 0, 5, 5.1, 11, 13, 21, -1, 4, -1, -10, -5, -1, 0, -1]





def       lowercase_      (		lowercase__						)   ->list[float]:
						_snake_case:   Tuple  					=		[]
						_snake_case:   List[Any]  					=		len(lowercase__						)

						for i in range(lowercase__						):
												_snake_case:   float  					=		-1
												for j in range(i + 1				,  lowercase__						):
																		if arr[i] < arr[j]:
																								_snake_case:   List[str]  					=		arr[j]
																								break
												result.append(lowercase__						)
						return result





def       lowercase_      (		lowercase__						)   ->list[float]:
						_snake_case:   Tuple  					=		[]
						for i, outer in enumerate(lowercase__						):
												_snake_case:   float  					=		-1
												for inner in arr[i + 1 :]:
																		if outer < inner:
																								_snake_case:   List[Any]  					=		inner
																								break
												result.append(lowercase__						)
						return result





def       lowercase_      (		lowercase__						)   ->list[float]:
						_snake_case:   int  					=		len(lowercase__						)
						_snake_case:   list[float]  					=		[]
						_snake_case:   list[float]  					=		[-1] * arr_size

						for index in reversed(range(lowercase__						)						):
												if stack:
																		while stack[-1] <= arr[index]:
																								stack.pop()
																								if not stack:
																														break
												if stack:
																		_snake_case:   Dict  					=		stack[-1]
												stack.append(arr[index]						)
						return result


if __name__ == "__main__":
		from doctest import testmod
		from timeit import timeit

		testmod()
		print(next_greatest_element_slow(arr))
		print(next_greatest_element_fast(arr))
		print(next_greatest_element(arr))

		A   : Union[str, Any]             =			(
		    'from __main__ import arr, next_greatest_element_slow, '
		    'next_greatest_element_fast, next_greatest_element'
		)
		print(
		    'next_greatest_element_slow():',
		    timeit('next_greatest_element_slow(arr)', setup=setup),
		)
		print(
		    'next_greatest_element_fast():',
		    timeit('next_greatest_element_fast(arr)', setup=setup),
		)
		print(
		    '     next_greatest_element():',
		    timeit('next_greatest_element(arr)', setup=setup),
		)





