
from __future__ import annotations

from itertools import permutations
from random import randint
from timeit import repeat



def        UpperCamelCase    (							):
					'''simple docstring'''
					lowercase							=						[randint(-1000 ,			1000		) for i in range(10		)]
					lowercase							=						randint(-5000 ,			5000		)
					return (arr, r)


lowercase__		:Dict   =    make_dataset()



def        UpperCamelCase    (							lowerCAmelCase__ ,			lowerCAmelCase__		):
					'''simple docstring'''
					for triplet in permutations(lowerCAmelCase__ ,			3		):
										if sum(lowerCAmelCase__		) == target:
															return tuple(sorted(lowerCAmelCase__		)		)
					return (0, 0, 0)



def        UpperCamelCase    (							lowerCAmelCase__ ,			lowerCAmelCase__		):
					'''simple docstring'''
					arr.sort()
					lowercase							=						len(lowerCAmelCase__		)
					for i in range(n - 1		):
										lowercase	,						lowercase							=						i + 1, n - 1
										while left < right:
															if arr[i] + arr[left] + arr[right] == target:
																				return (arr[i], arr[left], arr[right])
															elif arr[i] + arr[left] + arr[right] < target:
																				left += 1
															elif arr[i] + arr[left] + arr[right] > target:
																				right -= 1
					return (0, 0, 0)



def        UpperCamelCase    (							):
					'''simple docstring'''
					lowercase							=						'''
from __main__ import dataset, triplet_sum1, triplet_sum2
'''
					lowercase							=						'''
triplet_sum1(*dataset)
'''
					lowercase							=						'''
triplet_sum2(*dataset)
'''
					lowercase							=						repeat(setup=lowerCAmelCase__ ,			stmt=lowerCAmelCase__ ,			repeat=5 ,			number=1_0000		)
					lowercase							=						repeat(setup=lowerCAmelCase__ ,			stmt=lowerCAmelCase__ ,			repeat=5 ,			number=1_0000		)
					return (min(lowerCAmelCase__		), min(lowerCAmelCase__		))


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

							testmod()
							lowercase__		:str   =    solution_times()
							print(F'The time for naive implementation is {times[0]}.')
							print(F'The time for optimized implementation is {times[1]}.')






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


lowercase__		:int   =    logging.get_logger(__name__)

lowercase__		:Any   =    {
    "sail/poolformer_s12": "https://huggingface.co/sail/poolformer_s12/resolve/main/config.json",
    # See all PoolFormer models at https://huggingface.co/models?filter=poolformer
}







class 				lowercase		(					SCREAMING_SNAKE_CASE__		):
							lowercase_       :       Optional[Any]       					='''poolformer'''




							def __init__(				self   ,A__=3   ,A__=1_6   ,A__=1_6   ,A__=3   ,A__=4.0   ,A__=[2, 2, 6, 2]   ,A__=[6_4, 1_2_8, 3_2_0, 5_1_2]   ,A__=[7, 3, 3, 3]   ,A__=[4, 2, 2, 2]   ,A__=[2, 1, 1, 1]   ,A__=4   ,A__=0.0   ,A__="gelu"   ,A__=True   ,A__=1E-5   ,A__=0.02   ,**A__   ,):
												lowercase							=						num_channels
												lowercase							=						patch_size
												lowercase							=						stride
												lowercase							=						padding
												lowercase							=						pool_size
												lowercase							=						hidden_sizes
												lowercase							=						mlp_ratio
												lowercase							=						depths
												lowercase							=						patch_sizes
												lowercase							=						strides
												lowercase							=						num_encoder_blocks
												lowercase							=						drop_path_rate
												lowercase							=						hidden_act
												lowercase							=						use_layer_scale
												lowercase							=						layer_scale_init_value
												lowercase							=						initializer_range
												super().__init__(**A__)







class 				lowercase		(					SCREAMING_SNAKE_CASE__		):
							lowercase_       :       List[Any]       					=version.parse('''1.11'''		)




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





							@property
							def  A__      (				self):
												return 2E-3




