Hand of Straights

Hand of Straights: Checking Consecutive Card Groups

The Hand of Straights problem involves rearranging cards into groups of a specified size such that the card values in each group are consecutive.

This problem challenges us to implement an efficient algorithm to determine if such a rearrangement is possible.

Maximum Subarray

Problem Description

Given:

  1. An integer array hand, where hand[i] is the value of the ithi^{th} card.
  2. An integer groupSize, representing the required size of each group.

Goal

Determine if it is possible to divide all cards into groups of size groupSize, where the card values in each group are consecutive. Return true if possible, otherwise false.

Explanation:
The cards can be rearranged as [1,2,3,4] and [2,3,4,5].

Explanation: The closest we can get is [1,2,3,4] and [3,5,6,7], but the cards in the second group are not consecutive.

Approach

Key Insights

  1. Grouping by Size:

    • To divide all cards into groups of size k=groupSizek = the total number of cards (n) must be divisible by k: n  mod k=0
  2. Using a Frequency Map:

    • Count the occurrences of each card using a frequency map (or dictionary).
    • Always start forming groups from the smallest card value available to ensure proper sequencing.
  3. Forming Consecutive Groups:

    • For each card, if it is the starting card of a new group:
      • Ensure the next k−1k-1 consecutive cards exist.
      • Decrease their counts in the frequency map.
  4. Invalid Cases:

    • If any card count is too low to start a group, return false.

Algorithm

  1. Precheck:

    • If nmod  k≠0n \mod k \neq 0, immediately return false.
  2. Frequency Map:

    • Create a frequency map to track the count of each card in hand.
  3. Iterate Over Cards:

    • Sort the card values.
    • For each card, attempt to form a group starting with that card.
    • If any card cannot form a valid group, return false.
  4. Return Result:

    • If all cards are successfully grouped, return true.

There are mainly Four  approach to solve this problem – 

  1. Brute Force
  2. Sweep Line Algorithm
  3. Min Heap
  4. Min Segment Tree (Lazy Propagation)

1. Sorting

  • Time complexity: O(nlogn)
  • Space complexity: O(n)

2. Heap

Time & Space Complexity
  • Time complexity: O(nlog⁡n)
  • Space complexity: O(n)

3. Ordered Map

Time & Space Complexity
  • Time complexity: O(
  • Space complexity: O(n)

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