Alice has some number of cards and she wants to rearrange the cards into groups so that each group is of size groupSize
, and consists of groupSize
consecutive cards.
Given an integer array hand
where hand[i]
is the value written on the ith
card and an integer groupSize
, return true
if she can rearrange the cards, or false
otherwise.
Example 1:
Input: hand = [1,2,3,6,2,3,4,7,8], groupSize = 3 Output: true Explanation: Alice's hand can be rearranged as [1,2,3],[2,3,4],[6,7,8]
Example 2:
Input: hand = [1,2,3,4,5], groupSize = 4 Output: false Explanation: Alice's hand can not be rearranged into groups of 4.
1 <= hand.length <= 10^4
0 <= hand[i] <= 10^9
1 <= groupSize <= hand.length
Note: This question is the same as 1296: https://leetcode.com/problems/divide-array-in-sets-of-k-consecutive-numbers/
from collections import Counter
class Solution:
def isNStraightHand(self, hand: List[int], groupSize: int) -> bool:
if len(hand) % groupSize != 0:
return False
# Count the frequency of each card
card_count = Counter(hand)
# Sort the unique cards
unique_cards = sorted(card_count)
# Try to form groups starting from the smallest card
for card in unique_cards:
if card_count[card] > 0: # There are still cards to form a group
count = card_count[card]
# Try to form a group of groupSize starting from this card
for i in range(card, card + groupSize):
if card_count[i] < count:
return False
card_count[i] -= count
return True
O(nlogn) due to the sorting step, where n is the number of cards. The subsequent operations involving counting and decrementing values in a hash map are O(k) for each group, and since each card is considered exactly once, this is still efficient.
O(n) for the hash map used to store the count of each unique card. In the worst case, this will store as many entries as there are cards if all are unique.