Question
Given an unsorted integer array nums, return the smallest missing positive integer.
You must implement an algorithm that runs in O(n) time and uses constant extra space.
Example 1:
Input: nums = [1,2,0] Output: 3 Explanation: The numbers in the range [1,2] are all in the array.
Example 2:
Input: nums = [3,4,-1,1] Output: 2 Explanation: 1 is in the array but 2 is missing.
Example 3:
Input: nums = [7,8,9,11,12] Output: 1 Explanation: The smallest positive integer 1 is missing.
Constraints:
1 <= nums.length <= 105-231 <= nums[i] <= 231 - 1
Python Solution
class Solution:
def firstMissingPositive(self, nums: List[int]) -> int:
d = {}
l = len(nums)
if nums == []:
return 1
if nums==[1]:
return 2
for i in range(l):
d[nums[i]] = i
for i in range(1,l+1):
if i not in d:
if i==None:
break
else:
return i
return l+1

![[Solved] You are given an integer n and an integer start. Define an array nums where nums[i] = start + 2 * i (0-indexed) and n == nums.length. Return the bitwise XOR of all elements of nums.](https://machinelearningprojects.net/wp-content/uploads/2022/09/Leetcode-solutions-MLP-Feature-Image-1024x536.webp)