""" 算法题:二元组 Given an array of integers, return indices of the two numbers such that they add up to a specific target. You may assume that each input would have exactly one solution, and you may not use the same element twice. Example: Given nums = [2, 7, 11, 15], target = 9, Because nums[0] + nums[1] = 2 + 7 = 9, return [0, 1]. auther:Jacob """
class Solution:
def permute(self,numbers,target,num):
result = []
permute_result = list(itertools.permutations(numbers,num))
for i in permute_result:
if sum(i) == target:
result.append(i)
return result
if __name__ == '__main__':
nums = [2, 7, 11, 15]
solution = Solution()
print(solution.permute(nums,9,2))
""" * 算法题:三元组 * 给出一个有 n 个整数的数组 S,在 S 中找到三个整数 a, b, c,使得 a + b + c = 0。写一个函数找到所有满足要求的三元组。 * 注意事项: 在三元组(a, b, c),要求a <= b <= c。结果不能包含重复的三元组。 格式: 输入行输入一个有 n 个整数的数组 S,最后输出所有满足要求的三元组。 样例输入 S = [ -1,0,1,2,-1,-4 ] 样例输出 ( -1, 0, 1 ) ( -1, -1, 2 ) """
class Solution:
"""
@param numbersbers : Give an array numbersbers of n integer
@return : Find all unique triplets in the array which gives the sum of zero.
"""
def threeSum(self, numbers):
result = []
combinations = list(itertools.combinations(numbers, 3))
for i in combinations:
if sum(i) == 0 and sorted(list(i)) not in result:
i = list(i)
i.sort()
result.append(i)
return sorted(result)
if __name__ == '__main__':
nums = [-1,0,1,2,-1,-4]
solution = Solution()
print(solution.threeSum(nums))
给一个包含 n 个整数的数组 num,写一个函数找到和与给定整数 target 最接近的三元组,返回这三个数的和。 注意事项: 只需要返回三元组之和,无需返回三元组本身。 格式: 输入行依次输入一个整数数组 num 和一个给定的整数 target,最后输出和与 target 最接近的三元组的和。 样例输入 num = [ -1,2,1,-4 ] target = 1 样例输出 2 // -1 + 2 + 1 = 2
import itertools
class Solution:
def threeSumClosest(self, numbers, target):
# write your code here
combinations = list(itertools.combinations(numbers, 3))
minNumber = sum(combinations[0])
for i in combinations:
if abs(sum(i) - target) < abs(minNumber - target):
minNumber = sum(i)
return minNumber
if __name__ == '__main__':
nums =[-1, 2, 1, -4]
solution = Solution()
print(solution.threeSumClosest(nums,1))