2025-12-18
3652. Best Time to Buy and Sell Stock using Strategy
Topic: Array, Sliding Window, Prefix Sum
Difficulty: Medium
Problem:
You are given two integer arrays
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You are also given an even integer
• Selecting exactly
• Set the first
• Set the last
The profit is defined as the sum of
Return the maximum possible profit you can achieve.
Note: There are no constraints on budget or stock ownership, so all buy and sell operations are feasible regardless of past actions.
Example 1:
Input: prices = 4,2,8, strategy = -1,0,1, k = 2
Output: 10
Explanation:
ModificationStrategyProfit CalculationProfitOriginal-1, 0, 1 + (0 × 2) + (1 × 8) = -4 + 0 + 84Modify 0, 10, 1, 1 + (1 × 2) + (1 × 8) = 0 + 2 + 810Modify 1, 2-1, 0, 1 + (0 × 2) + (1 × 8) = -4 + 0 + 84
Thus, the maximum possible profit is 10, which is achieved by modifying the subarray
Example 2:
Input: prices = 5,4,3, strategy = 1,1,0, k = 2
Output: 9
Explanation:
ModificationStrategyProfit CalculationProfitOriginal1, 1, 0 + (1 × 4) + (0 × 3) = 5 + 4 + 09Modify 0, 10, 1, 0 + (1 × 4) + (0 × 3) = 0 + 4 + 04Modify 1, 21, 0, 1 + (0 × 4) + (1 × 3) = 5 + 0 + 38
Thus, the maximum possible profit is 9, which is achieved without any modification.
Constraints:
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3652. Best Time to Buy and Sell Stock using Strategy
Topic: Array, Sliding Window, Prefix Sum
Difficulty: Medium
Problem:
You are given two integer arrays
prices and strategy, where:•
prices[i] is the price of a given stock on the i^th day.•
strategy[i] represents a trading action on the i^th day, where:•
-1 indicates buying one unit of the stock.•
0 indicates holding the stock.•
1 indicates selling one unit of the stock.You are also given an even integer
k, and may perform at most one modification to strategy. A modification consists of:• Selecting exactly
k consecutive elements in strategy.• Set the first
k / 2 elements to 0 (hold).• Set the last
k / 2 elements to 1 (sell).The profit is defined as the sum of
strategy[i] * prices[i] across all days.Return the maximum possible profit you can achieve.
Note: There are no constraints on budget or stock ownership, so all buy and sell operations are feasible regardless of past actions.
Example 1:
Input: prices = 4,2,8, strategy = -1,0,1, k = 2
Output: 10
Explanation:
ModificationStrategyProfit CalculationProfitOriginal-1, 0, 1 + (0 × 2) + (1 × 8) = -4 + 0 + 84Modify 0, 10, 1, 1 + (1 × 2) + (1 × 8) = 0 + 2 + 810Modify 1, 2-1, 0, 1 + (0 × 2) + (1 × 8) = -4 + 0 + 84
Thus, the maximum possible profit is 10, which is achieved by modifying the subarray
[0, 1].Example 2:
Input: prices = 5,4,3, strategy = 1,1,0, k = 2
Output: 9
Explanation:
ModificationStrategyProfit CalculationProfitOriginal1, 1, 0 + (1 × 4) + (0 × 3) = 5 + 4 + 09Modify 0, 10, 1, 0 + (1 × 4) + (0 × 3) = 0 + 4 + 04Modify 1, 21, 0, 1 + (0 × 4) + (1 × 3) = 5 + 0 + 38
Thus, the maximum possible profit is 9, which is achieved without any modification.
Constraints:
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2 <= prices.length == strategy.length <= 10^5•
1 <= prices[i] <= 10^5•
-1 <= strategy[i] <= 1•
2 <= k <= prices.length•
k is even2025-12-19
2092. Find All People With Secret
Topic: Depth-First Search, Breadth-First Search, Union Find, Graph, Sorting
Difficulty: Hard
Problem:
You are given an integer
Person
The secrets are shared instantaneously. That is, a person may receive the secret and share it with people in other meetings within the same time frame.
Return a list of all the people that have the secret after all the meetings have taken place. You may return the answer in any order.
Example 1:
Example 2:
Example 3:
Constraints:
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2092. Find All People With Secret
Topic: Depth-First Search, Breadth-First Search, Union Find, Graph, Sorting
Difficulty: Hard
Problem:
You are given an integer
n indicating there are n people numbered from 0 to n - 1. You are also given a 0-indexed 2D integer array meetings where meetings[i] = [x_i, y_i, time_i] indicates that person x_i and person y_i have a meeting at time_i. A person may attend multiple meetings at the same time. Finally, you are given an integer firstPerson.Person
0 has a secret and initially shares the secret with a person firstPerson at time 0. This secret is then shared every time a meeting takes place with a person that has the secret. More formally, for every meeting, if a person x_i has the secret at time_i, then they will share the secret with person y_i, and vice versa.The secrets are shared instantaneously. That is, a person may receive the secret and share it with people in other meetings within the same time frame.
Return a list of all the people that have the secret after all the meetings have taken place. You may return the answer in any order.
Example 1:
Input: n = 6, meetings = [[1,2,5],[2,3,8],[1,5,10]], firstPerson = 1
Output: [0,1,2,3,5]
Explanation:
At time 0, person 0 shares the secret with person 1.
At time 5, person 1 shares the secret with person 2.
At time 8, person 2 shares the secret with person 3.
At time 10, person 1 shares the secret with person 5.
Thus, people 0, 1, 2, 3, and 5 know the secret after all the meetings.
Example 2:
Input: n = 4, meetings = [[3,1,3],[1,2,2],[0,3,3]], firstPerson = 3
Output: [0,1,3]
Explanation:
At time 0, person 0 shares the secret with person 3.
At time 2, neither person 1 nor person 2 know the secret.
At time 3, person 3 shares the secret with person 0 and person 1.
Thus, people 0, 1, and 3 know the secret after all the meetings.
Example 3:
Input: n = 5, meetings = [[3,4,2],[1,2,1],[2,3,1]], firstPerson = 1
Output: [0,1,2,3,4]
Explanation:
At time 0, person 0 shares the secret with person 1.
At time 1, person 1 shares the secret with person 2, and person 2 shares the secret with person 3.
Note that person 2 can share the secret at the same time as receiving it.
At time 2, person 3 shares the secret with person 4.
Thus, people 0, 1, 2, 3, and 4 know the secret after all the meetings.
Constraints:
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2 <= n <= 10^5•
1 <= meetings.length <= 10^5•
meetings[i].length == 3•
0 <= x_i, y_i <= n - 1•
x_i != y_i•
1 <= time_i <= 10^5•
1 <= firstPerson <= n - 1