






"""simple docstring"""
from __future__ import annotations

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





def 				lowercase__		(					):
				_SCREAMING_SNAKE_CASE   :		List[Any]       		=    [randint(-1_000,						1_000       ) for i in range(10       )]
				_SCREAMING_SNAKE_CASE   :		Tuple       		=    randint(-5_000,						5_000       )
				return (arr, r)


lowerCAmelCase__    						=			make_dataset()





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





def 				lowercase__		(					lowerCamelCase,						lowerCamelCase       ):
				arr.sort()
				_SCREAMING_SNAKE_CASE   :		str       		=    len(lowerCamelCase       )
				for i in range(n - 1       ):
								_SCREAMING_SNAKE_CASE		,						_SCREAMING_SNAKE_CASE   :		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 				lowercase__		(					):
				_SCREAMING_SNAKE_CASE   :		int       		=    '\nfrom __main__ import dataset, triplet_sum1, triplet_sum2\n'
				_SCREAMING_SNAKE_CASE   :		List[Any]       		=    '\ntriplet_sum1(*dataset)\n'
				_SCREAMING_SNAKE_CASE   :		List[str]       		=    '\ntriplet_sum2(*dataset)\n'
				_SCREAMING_SNAKE_CASE   :		Any       		=    repeat(setup=lowerCamelCase,						stmt=lowerCamelCase,						repeat=5,						number=10_000       )
				_SCREAMING_SNAKE_CASE   :		Any       		=    repeat(setup=lowerCamelCase,						stmt=lowerCamelCase,						repeat=5,						number=10_000       )
				return (min(lowerCamelCase       ), min(lowerCamelCase       ))


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]}.')









"""simple docstring"""
from ...utils import is_torch_available, is_transformers_available


if is_transformers_available() and is_torch_available():
			from .pipeline_vq_diffusion import LearnedClassifierFreeSamplingEmbeddings, VQDiffusionPipeline

