



"""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__      =    {
    '''facebook/deit-base-distilled-patch16-224''': (
        '''https://huggingface.co/facebook/deit-base-patch16-224/resolve/main/config.json'''
    ),
    # See all DeiT models at https://huggingface.co/models?filter=deit
}






class 	__snake_case	(     _lowercase):
  snake_case__    :       int        =						"deit"




  def __init__(			self					:						List[str]						, __lowerCAmelCase					:						int=7_6_8						, __lowerCAmelCase					:						Tuple=1_2						, __lowerCAmelCase					:						str=1_2						, __lowerCAmelCase					:						Dict=3_0_7_2						, __lowerCAmelCase					:						List[str]="gelu"						, __lowerCAmelCase					:						Union[str, Any]=0.0						, __lowerCAmelCase					:						Dict=0.0						, __lowerCAmelCase					:						str=0.02						, __lowerCAmelCase					:						List[str]=1E-12						, __lowerCAmelCase					:						Dict=2_2_4						, __lowerCAmelCase					:						str=1_6						, __lowerCAmelCase					:						Union[str, Any]=3						, __lowerCAmelCase					:						str=True						, __lowerCAmelCase					:						int=1_6						, **__lowerCAmelCase					:						int						, ):






         """simple docstring"""






         super().__init__(**__lowerCAmelCase		)

         _lowerCamelCase						:    int         =			hidden_size
         _lowerCamelCase						:    Optional[Any]         =			num_hidden_layers
         _lowerCamelCase						:    Tuple         =			num_attention_heads
         _lowerCamelCase						:    Tuple         =			intermediate_size
         _lowerCamelCase						:    Tuple         =			hidden_act
         _lowerCamelCase						:    Any         =			hidden_dropout_prob
         _lowerCamelCase						:    Dict         =			attention_probs_dropout_prob
         _lowerCamelCase						:    Union[str, Any]         =			initializer_range
         _lowerCamelCase						:    str         =			layer_norm_eps
         _lowerCamelCase						:    Union[str, Any]         =			image_size
         _lowerCamelCase						:    Optional[int]         =			patch_size
         _lowerCamelCase						:    List[str]         =			num_channels
         _lowerCamelCase						:    int         =			qkv_bias
         _lowerCamelCase						:    Optional[Any]         =			encoder_stride






class 	__snake_case	(     _lowercase):
  snake_case__    :       Tuple        =						version.parse("1.11")




  @property
  def 						SCREAMING_SNAKE_CASE    (			self					:						str		):






         """simple docstring"""






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




  @property
  def 						SCREAMING_SNAKE_CASE    (			self					:						Union[str, Any]		):






         """simple docstring"""






         return 1E-4







"""simple docstring"""






from __future__ import annotations

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






def 	snake_case_  (				):


       '''simple docstring'''





       _lowerCamelCase						:    Optional[Any]         =			[randint(-10_00,    10_00						) for i in range(10						)]
       _lowerCamelCase						:    Tuple         =			randint(-50_00,    50_00						)
       return (arr, r)


lowerCAmelCase__      =    make_dataset()






def 	snake_case_  (				A_ :		list[int],    A_ :		int						):


       '''simple docstring'''





       for triplet in permutations(A_,    3						):
              if sum(A_						) == target:
                     return tuple(sorted(A_						)						)
       return (0, 0, 0)






def 	snake_case_  (				A_ :		list[int],    A_ :		int						):


       '''simple docstring'''





       arr.sort()
       _lowerCamelCase						:    Optional[Any]         =			len(A_						)
       for i in range(n - 1						):
              _lowerCamelCase      ,   _lowerCamelCase						:    int         =			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 	snake_case_  (				):


       '''simple docstring'''





       _lowerCamelCase						:    Tuple         =			'''
from __main__ import dataset, triplet_sum1, triplet_sum2
'''
       _lowerCamelCase						:    List[Any]         =			'''
triplet_sum1(*dataset)
'''
       _lowerCamelCase						:    str         =			'''
triplet_sum2(*dataset)
'''
       _lowerCamelCase						:    Optional[int]         =			repeat(setup=A_,    stmt=A_,    repeat=5,    number=1_00_00						)
       _lowerCamelCase						:    Union[str, Any]         =			repeat(setup=A_,    stmt=A_,    repeat=5,    number=1_00_00						)
       return (min(A_						), min(A_						))


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

   testmod()
   lowerCAmelCase__      =    solution_times()
   print(F"""The time for naive implementation is {times[0]}.""")
   print(F"""The time for optimized implementation is {times[1]}.""")


