



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
from ...utils.backbone_utils import BackboneConfigMixin, get_aligned_output_features_output_indices


snake_case_			:     List[str]  	=  logging.get_logger(__name__)

snake_case_			:     List[str]  	=  {
    'microsoft/resnet-50': 'https://huggingface.co/microsoft/resnet-50/blob/main/config.json',
}






class 							lowercase__     (							__lowercase						, __lowercase       ):
	lowercase__      =      '''resnet'''
	lowercase__      =      ['''basic''', '''bottleneck''']





	def __init__(			self :    Dict			,lowerCamelCase__ :    int=3			,lowerCamelCase__ :    Optional[int]=64			,lowerCamelCase__ :    Optional[int]=[256, 512, 1024, 2048]			,lowerCamelCase__ :    Optional[int]=[3, 4, 6, 3]			,lowerCamelCase__ :    List[Any]="bottleneck"			,lowerCamelCase__ :    int="relu"			,lowerCamelCase__ :    Union[str, Any]=False			,lowerCamelCase__ :    Tuple=None			,lowerCamelCase__ :    Dict=None			,**lowerCamelCase__ :    Any			,):







							'''simple docstring'''
							super().__init__(**lowerCamelCase__			)
							if layer_type not in self.layer_types:
													raise ValueError(F'layer_type={layer_type} is not one of {",".join(self.layer_types			)}'			)
							_UpperCamelCase :		Tuple			    =       num_channels
							_UpperCamelCase :		List[Any]			    =       embedding_size
							_UpperCamelCase :		int			    =       hidden_sizes
							_UpperCamelCase :		List[Any]			    =       depths
							_UpperCamelCase :		int			    =       layer_type
							_UpperCamelCase :		Optional[Any]			    =       hidden_act
							_UpperCamelCase :		List[Any]			    =       downsample_in_first_stage
							_UpperCamelCase :		Tuple			    =       ["""stem"""] + [F'stage{idx}' for idx in range(1			,len(lowerCamelCase__			) + 1			)]
							_UpperCamelCase :		List[str]			    =       get_aligned_output_features_output_indices(
							    out_features=lowerCamelCase__			,out_indices=lowerCamelCase__			,stage_names=self.stage_names			)






class 							lowercase__     (							__lowercase       ):
	lowercase__      =      version.parse("""1.11"""       )





	@property
	def      UpperCamelCase_  (			self :    Optional[int]			):







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





	@property
	def      UpperCamelCase_  (			self :    str			):







							'''simple docstring'''
							return 1E-3







'''simple docstring'''
from __future__ import annotations

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

from matplotlib import pyplot as plt






def A__   (					UpperCAmelCase_  ,  UpperCAmelCase_  ,  UpperCAmelCase_							):
						if not arr:
												return None, None, 0
						if low == high:
												return low, high, arr[low]

						_UpperCamelCase :		str			    =       (low + high) // 2
						_UpperCamelCase    ,      _UpperCamelCase    ,      _UpperCamelCase :		Dict			    =       max_subarray(UpperCAmelCase_  ,  UpperCAmelCase_  ,  UpperCAmelCase_							)
						_UpperCamelCase    ,      _UpperCamelCase    ,      _UpperCamelCase :		List[Any]			    =       max_subarray(UpperCAmelCase_  ,  mid + 1  ,  UpperCAmelCase_							)
						_UpperCamelCase    ,      _UpperCamelCase    ,      _UpperCamelCase :		Tuple			    =       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 A__   (					UpperCAmelCase_  ,  UpperCAmelCase_  ,  UpperCAmelCase_  ,  UpperCAmelCase_							):
						_UpperCamelCase    ,      _UpperCamelCase :		Optional[Any]			    =       float('-inf'							), -1
						_UpperCamelCase    ,      _UpperCamelCase :		int			    =       float('-inf'							), -1

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

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

						return max_left, max_right, (left_sum + right_sum)






def A__   (					UpperCAmelCase_							):
						_UpperCamelCase :		List[str]			    =       [randint(1  ,  UpperCAmelCase_							) for _ in range(UpperCAmelCase_							)]
						_UpperCamelCase :		Optional[Any]			    =       time.time()
						max_subarray(UpperCAmelCase_  ,  0  ,  input_size - 1							)
						_UpperCamelCase :		str			    =       time.time()
						return end - start






def A__   (					):
						_UpperCamelCase :		Any			    =       [1_0, 1_0_0, 1_0_0_0, 1_0_0_0_0, 5_0_0_0_0, 1_0_0_0_0_0, 2_0_0_0_0_0, 3_0_0_0_0_0, 4_0_0_0_0_0, 5_0_0_0_0_0]
						_UpperCamelCase :		Dict			    =       [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()


