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1-TwoSum.py
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110 lines (98 loc) · 2.77 KB
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# Python3 暴力枚举 时间复杂度O(N^2), 空间复杂度O(1)
class Solution:
def twoSum(self, nums, target):
n = len(nums)
for i in range(n):
for j in range(i + 1, n):
if nums[i] + nums[j] == target:
return [i, j]
return []
# Python3 哈希表 时间复杂度O(N), 空间复杂度O(N)
class Solution2:
def twoSum(self, nums, target):
hashtable = dict()
for i, num in enumerate(nums):
if target - num in hashtable:
return [hashtable[target - num], i]
hashtable[nums[i]] = i
return []
def main():
test = Solution2()
nums = [2, 5, 6, 8, 9]
target = 7
ans = test.twoSum(nums, target)
print(ans)
if __name__ == "__main__":
main()
# C 暴力枚举
int* twoSum(int* nums, int numsSize, int target, int* returnSize) {
for (int i = 0; i < numsSize; ++i) {
for (int j = i + 1; j < numsSize; ++j) {
if (nums[i] + nums[j] == target) {
int* ret = malloc(sizeof(int) * 2);
ret[0] = i, ret[1] = j;
*returnSize = 2;
return ret;
}
}
}
*returnSize = 0;
return NULL;
}
# C++ 暴力枚举
class Solution {
public:
vector<int> twoSum(vector<int>& nums, int target) {
int n = nums.size();
for (int i = 0; i < n; ++i) {
for (int j = i + 1; j < n; ++j) {
if (nums[i] + nums[j] == target) {
return {i, j};
}
}
}
return {};
}
};
# C++ 哈希表
class Solution2 {
public:
vector<int> twoSum(vector<int>& nums, int target) {
unordered_map<int, int> hashtable;
for (int i = 0; i < nums.size(); ++i) {
auto it = hashtable.find(target - nums[i]);
if (it != hashtable.end()) {
return {it->second, i}
}
hashtable[nums[i]] = i;
}
return {};
}
};
#Java 暴力枚举
class Solution {
public int[] twoSum(int[] nums, int target) {
int n = nums.length;
for (int i = 0; i < n; ++i) {
for (int j = i + 1; j < n; ++j) {
if (nums[i] + nums[j] == target) {
return new int[]{i,j};
}
}
}
return new int[0];
}
}
#Java 哈希表
class Solution2 {
public int[] twoSum(int[] nums, int target) {
Map<Integer, Integer> hashtable = new HashMap<Integer, Integer>();
for (int i = 0; i < nums.length; ++i) {
if (hashtable.containsKey(target - nums[i])) {
return new int[]{hashtable.get(target - nums[i]), i};
}
hashtable.put(nums[i], i);
}
return new int[0];
}
}