




from __future__ import annotations

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







def SCREAMING_SNAKE_CASE				(       )   ->       tuple[list[int], int]:



       """simple docstring"""

       A__       =    [randint(-1_000 ,				1_000						) for i in range(10						)]
       A__       =    randint(-5_000 ,				5_000						)
       return (arr, r)


_lowerCamelCase	:		Tuple							       =   make_dataset()







def SCREAMING_SNAKE_CASE				(       lowercase_ ,				lowercase_						)   ->       tuple[int, ...]:



       """simple docstring"""

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







def SCREAMING_SNAKE_CASE				(       lowercase_ ,				lowercase_						)   ->       tuple[int, int, int]:



       """simple docstring"""

       arr.sort()
       A__       =    len(lowercase_						)
       for i in range(n - 1						):
              A__ ,							A__       =    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 SCREAMING_SNAKE_CASE				(       )   ->       tuple[float, float]:



       """simple docstring"""

       A__       =    '''
from __main__ import dataset, triplet_sum1, triplet_sum2
'''
       A__       =    '''
triplet_sum1(*dataset)
'''
       A__       =    '''
triplet_sum2(*dataset)
'''
       A__       =    repeat(setup=lowercase_ ,				stmt=lowercase_ ,				repeat=5 ,				number=10_000						)
       A__       =    repeat(setup=lowercase_ ,				stmt=lowercase_ ,				repeat=5 ,				number=10_000						)
       return (min(lowercase_						), min(lowercase_						))


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

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








from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


_lowerCamelCase	:		List[str]							       =   {"""configuration_vit_msn""": ["""VIT_MSN_PRETRAINED_CONFIG_ARCHIVE_MAP""", """ViTMSNConfig"""]}

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  _lowerCamelCase	:		List[Any]							       =   [
      """VIT_MSN_PRETRAINED_MODEL_ARCHIVE_LIST""",
      """ViTMSNModel""",
      """ViTMSNForImageClassification""",
      """ViTMSNPreTrainedModel""",
  ]

if TYPE_CHECKING:
  from .configuration_vit_msn import VIT_MSN_PRETRAINED_CONFIG_ARCHIVE_MAP, ViTMSNConfig

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_vit_msn import (
        VIT_MSN_PRETRAINED_MODEL_ARCHIVE_LIST,
        ViTMSNForImageClassification,
        ViTMSNModel,
        ViTMSNPreTrainedModel,
    )

else:
  import sys

  _lowerCamelCase	:		Tuple							       =   _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)


