


"""simple docstring"""


from __future__ import annotations

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






def      a__ (				)	->	tuple[list[int], int]:
				_A					  =			[randint(-1000     ,			1000   ) for i in range(10   )]
				_A					  =			randint(-5000     ,			5000   )
				return (arr, r)


a_       							=    make_dataset()






def      a__ (				__lowercase     ,			__lowercase   )	->	tuple[int, ...]:
				for triplet in permutations(__lowercase     ,			3   ):
								if sum(__lowercase   ) == target:
												return tuple(sorted(__lowercase   )   )
				return (0, 0, 0)






def      a__ (				__lowercase     ,			__lowercase   )	->	tuple[int, int, int]:
				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      a__ (				)	->	tuple[float, float]:
				_A					  =			"\nfrom __main__ import dataset, triplet_sum1, triplet_sum2\n"
				_A					  =			"\ntriplet_sum1(*dataset)\n"
				_A					  =			"\ntriplet_sum2(*dataset)\n"
				_A					  =			repeat(setup=__lowercase     ,			stmt=__lowercase     ,			repeat=5     ,			number=1_0000   )
				_A					  =			repeat(setup=__lowercase     ,			stmt=__lowercase     ,			repeat=5     ,			number=1_0000   )
				return (min(__lowercase   ), min(__lowercase   ))


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

		testmod()
		a_       							=    solution_times()
		print(f'''The time for naive implementation is {times[0]}.''')
		print(f'''The time for optimized implementation is {times[1]}.''')



"""simple docstring"""


import numpy as np






def      a__ (				__lowercase     ,			__lowercase   )	->	np.ndarray:
				return np.where(vector > 0     ,			__lowercase     ,			(alpha * (np.exp(__lowercase   ) - 1))   )


if __name__ == "__main__":
		import doctest

		doctest.testmod()