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Posts tagged as “medium”

花花酱 LeetCode 1860. Incremental Memory Leak

You are given two integers memory1 and memory2 representing the available memory in bits on two memory sticks. There is currently a faulty program running that consumes an increasing amount of memory every second.

At the ith second (starting from 1), i bits of memory are allocated to the stick with more available memory (or from the first memory stick if both have the same available memory). If neither stick has at least i bits of available memory, the program crashes.

Return an array containing [crashTime, memory1crash, memory2crash], where crashTime is the time (in seconds) when the program crashed and memory1crash and memory2crash are the available bits of memory in the first and second sticks respectively.

Example 1:

Input: memory1 = 2, memory2 = 2
Output: [3,1,0]
Explanation: The memory is allocated as follows:
- At the 1st second, 1 bit of memory is allocated to stick 1. The first stick now has 1 bit of available memory.
- At the 2nd second, 2 bits of memory are allocated to stick 2. The second stick now has 0 bits of available memory.
- At the 3rd second, the program crashes. The sticks have 1 and 0 bits available respectively.

Example 2:

Input: memory1 = 8, memory2 = 11
Output: [6,0,4]
Explanation: The memory is allocated as follows:
- At the 1st second, 1 bit of memory is allocated to stick 2. The second stick now has 10 bit of available memory.
- At the 2nd second, 2 bits of memory are allocated to stick 2. The second stick now has 8 bits of available memory.
- At the 3rd second, 3 bits of memory are allocated to stick 1. The first stick now has 5 bits of available memory.
- At the 4th second, 4 bits of memory are allocated to stick 2. The second stick now has 4 bits of available memory.
- At the 5th second, 5 bits of memory are allocated to stick 1. The first stick now has 0 bits of available memory.
- At the 6th second, the program crashes. The sticks have 0 and 4 bits available respectively.

Constraints:

  • 0 <= memory1, memory2 <= 231 - 1

Solution: Simulation

Time complexity: O(max(memory1, memory2)0.5)
Space complexity: O(1)

Python3

花花酱 LeetCode 1855. Maximum Distance Between a Pair of Values

You are given two non-increasing 0-indexed integer arrays nums1​​​​​​ and nums2​​​​​​.

A pair of indices (i, j), where 0 <= i < nums1.length and 0 <= j < nums2.length, is valid if both i <= j and nums1[i] <= nums2[j]. The distance of the pair is j - i​​​​.

Return the maximum distance of any valid pair (i, j). If there are no valid pairs, return 0.

An array arr is non-increasing if arr[i-1] >= arr[i] for every 1 <= i < arr.length.

Example 1:

Input: nums1 = [55,30,5,4,2], nums2 = [100,20,10,10,5]
Output: 2
Explanation: The valid pairs are (0,0), (2,2), (2,3), (2,4), (3,3), (3,4), and (4,4).
The maximum distance is 2 with pair (2,4).

Example 2:

Input: nums1 = [2,2,2], nums2 = [10,10,1]
Output: 1
Explanation: The valid pairs are (0,0), (0,1), and (1,1).
The maximum distance is 1 with pair (0,1).

Example 3:

Input: nums1 = [30,29,19,5], nums2 = [25,25,25,25,25]
Output: 2
Explanation: The valid pairs are (2,2), (2,3), (2,4), (3,3), and (3,4).
The maximum distance is 2 with pair (2,4).

Example 4:

Input: nums1 = [5,4], nums2 = [3,2]
Output: 0
Explanation: There are no valid pairs, so return 0.

Constraints:

  • 1 <= nums1.length <= 105
  • 1 <= nums2.length <= 105
  • 1 <= nums1[i], nums2[j] <= 105
  • Both nums1 and nums2 are non-increasing.

Solution: Two Pointers

For each i, find the largest j such that nums[j] >= nums[i].

Time complexity: O(n + m)
Space complexity: O(1)

C++

花花酱 LeetCode 1850. Minimum Adjacent Swaps to Reach the Kth Smallest Number

You are given a string num, representing a large integer, and an integer k.

We call some integer wonderful if it is a permutation of the digits in num and is greater in value than num. There can be many wonderful integers. However, we only care about the smallest-valued ones.

  • For example, when num = "5489355142":
    • The 1st smallest wonderful integer is "5489355214".
    • The 2nd smallest wonderful integer is "5489355241".
    • The 3rd smallest wonderful integer is "5489355412".
    • The 4th smallest wonderful integer is "5489355421".

Return the minimum number of adjacent digit swaps that needs to be applied to num to reach the kth smallest wonderful integer.

The tests are generated in such a way that kth smallest wonderful integer exists.

Example 1:

Input: num = "5489355142", k = 4
Output: 2
Explanation: The 4th smallest wonderful number is "5489355421". To get this number:
- Swap index 7 with index 8: "5489355142" -> "5489355412"
- Swap index 8 with index 9: "5489355412" -> "5489355421"

Example 2:

Input: num = "11112", k = 4
Output: 4
Explanation: The 4th smallest wonderful number is "21111". To get this number:
- Swap index 3 with index 4: "11112" -> "11121"
- Swap index 2 with index 3: "11121" -> "11211"
- Swap index 1 with index 2: "11211" -> "12111"
- Swap index 0 with index 1: "12111" -> "21111"

Example 3:

Input: num = "00123", k = 1
Output: 1
Explanation: The 1st smallest wonderful number is "00132". To get this number:
- Swap index 3 with index 4: "00123" -> "00132"

Constraints:

  • 2 <= num.length <= 1000
  • 1 <= k <= 1000
  • num only consists of digits.

Solution: Next Permutation + Greedy

Time complexity: O(k*n + n^2)
Space complexity: O(n)

C++

花花酱 LeetCode 1849. Splitting a String Into Descending Consecutive Values

You are given a string s that consists of only digits.

Check if we can split s into two or more non-empty substrings such that the numerical values of the substrings are in descending order and the difference between numerical values of every two adjacent substrings is equal to 1.

  • For example, the string s = "0090089" can be split into ["0090", "089"] with numerical values [90,89]. The values are in descending order and adjacent values differ by 1, so this way is valid.
  • Another example, the string s = "001" can be split into ["0", "01"]["00", "1"], or ["0", "0", "1"]. However all the ways are invalid because they have numerical values [0,1][0,1], and [0,0,1] respectively, all of which are not in descending order.

Return true if it is possible to split s​​​​​​ as described above, or false otherwise.

substring is a contiguous sequence of characters in a string.

Example 1:

Input: s = "1234"
Output: false
Explanation: There is no valid way to split s.

Example 2:

Input: s = "050043"
Output: true
Explanation: s can be split into ["05", "004", "3"] with numerical values [5,4,3].
The values are in descending order with adjacent values differing by 1.

Example 3:

Input: s = "9080701"
Output: false
Explanation: There is no valid way to split s.

Example 4:

Input: s = "10009998"
Output: true
Explanation: s can be split into ["100", "099", "98"] with numerical values [100,99,98].
The values are in descending order with adjacent values differing by 1.

Constraints:

  • 1 <= s.length <= 20
  • s only consists of digits.

Solution: DFS

Time complexity: O(2n)
Space complexity: O(n)

C++

花花酱 LeetCode 1846. Maximum Element After Decreasing and Rearranging

You are given an array of positive integers arr. Perform some operations (possibly none) on arr so that it satisfies these conditions:

  • The value of the first element in arr must be 1.
  • The absolute difference between any 2 adjacent elements must be less than or equal to 1. In other words, abs(arr[i] - arr[i - 1]) <= 1 for each i where 1 <= i < arr.length (0-indexed). abs(x) is the absolute value of x.

There are 2 types of operations that you can perform any number of times:

  • Decrease the value of any element of arr to a smaller positive integer.
  • Rearrange the elements of arr to be in any order.

Return the maximum possible value of an element in arr after performing the operations to satisfy the conditions.

Example 1:

Input: arr = [2,2,1,2,1]
Output: 2
Explanation: 
We can satisfy the conditions by rearranging arr so it becomes [1,2,2,2,1].
The largest element in arr is 2.

Example 2:

Input: arr = [100,1,1000]
Output: 3
Explanation: 
One possible way to satisfy the conditions is by doing the following:
1. Rearrange arr so it becomes [1,100,1000].
2. Decrease the value of the second element to 2.
3. Decrease the value of the third element to 3.
Now arr = [1,2,3], which satisfies the conditions.
The largest element in arr is 3.

Example 3:

Input: arr = [1,2,3,4,5]
Output: 5
Explanation: The array already satisfies the conditions, and the largest element is 5.

Constraints:

  • 1 <= arr.length <= 105
  • 1 <= arr[i] <= 109

Solution: Sort

arr[0] = 1,
arr[i] = min(arr[i], arr[i – 1] + 1)

ans = arr[n – 1]

Time complexity: O(nlogn)
Space complexity: O(1)

C++