Single Element in a Sorted Array
You are given a sorted array consisting of only integers where every element appears exactly twice, except for one element which appears exactly once.
Return the single element that appears only once.
Your solution must run in O(log n)
time and O(1)
space.
Example 1:
Input: nums = [1,1,2,3,3,4,4,8,8] Output: 2
Example 2:
Input: nums = [3,3,7,7,10,11,11] Output: 10
Constraints:
1 <= nums.length <= 105
0 <= nums[i] <= 105
Solution
Observe that the parity (even or odd) of indices ties closely with where the single element is.
We know that the numbers come in pairs before and after the one single element s
.
For the pairs that is to the left of s
: the first element takes an even index e
(as array is 0 indexed) and the second element takes an odd index e+1
.
Then the single element s
takes only one position (even), so that the pattern on the right of s
is reversed.
For the pairs that is to the right of s
: the first element takes an odd index o
, and the second element takes an even index o+1
Therefore, for an even index e
, nums[e]!=nums[e+1]
if the s
is to the left of o
.
Similar for an odd index o
, nums[o]!=nums[o-1]
means s
has already appeared.
We must also keep an eye out for out of bounds
, that is, to check whether idx
is the last index in nums
.
Implementation
1def singleNonDuplicate(self, nums):
2 def to_the_left(idx):
3 if (idx == len(nums)-1):
4 return True
5 elif (idx % 2): # odd
6 return nums[idx] != nums[idx-1]
7 else: # even
8 return nums[idx] != nums[idx+1]
9
10 left, right, ans = 0, len(nums)-1, -1
11 while left <= right:
12 mid = (left + right) // 2
13 if to_the_left(mid):
14 ans = mid
15 right = mid - 1
16 else:
17 left = mid + 1
18
19 return nums[ans]
How many times is a tree node visited in a depth first search?
Solution Implementation
Which two pointer technique does Quick Sort use?
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