
"""simple docstring"""







from __future__ import annotations

import time
from collections.abc import Sequence
from random import randint

from matplotlib import pyplot as plt
def 					__lowerCAmelCase       (_UpperCamelCase ,						_UpperCamelCase ,						_UpperCamelCase	):
	if not arr:
		return None, None, 0
	if low == high:
		return low, high, arr[low]

	__lowerCAmelCase    :		Optional[Any]		    =   (low + high) // 2
	__lowerCAmelCase    :		Dict		    =   max_subarray(_UpperCamelCase ,						_UpperCamelCase ,						_UpperCamelCase	)
	__lowerCAmelCase    :		List[Any]		    =   max_subarray(_UpperCamelCase ,						mid + 1 ,						_UpperCamelCase	)
	__lowerCAmelCase    :		Dict		    =   max_cross_sum(_UpperCamelCase ,						_UpperCamelCase ,						_UpperCamelCase ,						_UpperCamelCase	)
	if left_sum >= right_sum and left_sum >= cross_sum:
		return left_low, left_high, left_sum
	elif right_sum >= left_sum and right_sum >= cross_sum:
		return right_low, right_high, right_sum
	return cross_left, cross_right, cross_sum
def 					__lowerCAmelCase       (_UpperCamelCase ,						_UpperCamelCase ,						_UpperCamelCase ,						_UpperCamelCase	):
	__lowerCAmelCase    :		int		    =   float('-inf'	), -1
	__lowerCAmelCase    :		Tuple		    =   float('-inf'	), -1

	__lowerCAmelCase    :		int | float		    =   0
	for i in range(_UpperCamelCase ,						low - 1 ,						-1	):
		summ += arr[i]
		if summ > left_sum:
			__lowerCAmelCase    :		Any		    =   summ
			__lowerCAmelCase    :		str		    =   i

	__lowerCAmelCase    :		str		    =   0
	for i in range(mid + 1 ,						high + 1	):
		summ += arr[i]
		if summ > right_sum:
			__lowerCAmelCase    :		Tuple		    =   summ
			__lowerCAmelCase    :		str		    =   i

	return max_left, max_right, (left_sum + right_sum)
def 					__lowerCAmelCase       (_UpperCamelCase	):
	__lowerCAmelCase    :		Optional[int]		    =   [randint(1 ,						_UpperCamelCase	) for _ in range(_UpperCamelCase	)]
	__lowerCAmelCase    :		Optional[int]		    =   time.time()
	max_subarray(_UpperCamelCase ,						0 ,						input_size - 1	)
	__lowerCAmelCase    :		Dict		    =   time.time()
	return end - start
def 					__lowerCAmelCase       ():
	__lowerCAmelCase    :		Optional[Any]		    =   [10, 100, 1000, 1_0000, 5_0000, 10_0000, 20_0000, 30_0000, 40_0000, 50_0000]
	__lowerCAmelCase    :		Union[str, Any]		    =   [time_max_subarray(_UpperCamelCase	) for input_size in input_sizes]
	print('No of Inputs\t\tTime Taken'	)
	for input_size, runtime in zip(_UpperCamelCase ,						_UpperCamelCase	):
		print(_UpperCamelCase ,						'\t\t' ,						_UpperCamelCase	)
	plt.plot(_UpperCamelCase ,						_UpperCamelCase	)
	plt.xlabel('Number of Inputs'	)
	plt.ylabel('Time taken in seconds'	)
	plt.show()


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

							testmod()

"""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


lowerCamelCase__           =	logging.get_logger(__name__)

lowerCamelCase__           =	{
    """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 				A__ (			_lowerCamelCase):
		A_		: List[str]            =			'beit'

		def __init__(   self ,	_SCREAMING_SNAKE_CASE=81_92 ,	_SCREAMING_SNAKE_CASE=7_68 ,	_SCREAMING_SNAKE_CASE=12 ,	_SCREAMING_SNAKE_CASE=12 ,	_SCREAMING_SNAKE_CASE=30_72 ,	_SCREAMING_SNAKE_CASE="gelu" ,	_SCREAMING_SNAKE_CASE=0.0 ,	_SCREAMING_SNAKE_CASE=0.0 ,	_SCREAMING_SNAKE_CASE=0.02 ,	_SCREAMING_SNAKE_CASE=1E-12 ,	_SCREAMING_SNAKE_CASE=2_24 ,	_SCREAMING_SNAKE_CASE=16 ,	_SCREAMING_SNAKE_CASE=3 ,	_SCREAMING_SNAKE_CASE=False ,	_SCREAMING_SNAKE_CASE=False ,	_SCREAMING_SNAKE_CASE=False ,	_SCREAMING_SNAKE_CASE=False ,	_SCREAMING_SNAKE_CASE=0.1 ,	_SCREAMING_SNAKE_CASE=0.1 ,	_SCREAMING_SNAKE_CASE=True ,	_SCREAMING_SNAKE_CASE=[3, 5, 7, 11] ,	_SCREAMING_SNAKE_CASE=[1, 2, 3, 6] ,	_SCREAMING_SNAKE_CASE=True ,	_SCREAMING_SNAKE_CASE=0.4 ,	_SCREAMING_SNAKE_CASE=2_56 ,	_SCREAMING_SNAKE_CASE=1 ,	_SCREAMING_SNAKE_CASE=False ,	_SCREAMING_SNAKE_CASE=2_55 ,	**_SCREAMING_SNAKE_CASE ,	):
			super().__init__(**_SCREAMING_SNAKE_CASE				)

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

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




class 				A__ (			_lowerCamelCase):
		A_		: List[str]            =			version.parse('1.11')

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







		@property
		def 							__lowerCamelCase							(   self				):
			return 1E-4