Optimal Account Balancing
A group of friends went on holiday and sometimes lent each other money. For example, Alice paid for Bill's lunch for $10. Then later Chris gave Alice $5 for a taxi ride. We can model each transaction as a tuple (x, y, z) which means person x gave person y $z. Assuming Alice, Bill, and Chris are person 0, 1, and 2 respectively (0, 1, 2 are the person's ID), the transactions can be represented as [[0, 1, 10], [2, 0, 5]]
.
Given a list of transactions between a group of people, return the minimum number of transactions required to settle the debt.
Note:
A transaction will be given as a tuple (x, y, z). Note that
x ≠ y
andz > 0
.Person's IDs may not be linear, e.g. we could have the persons 0, 1, 2 or we could also have the persons 0, 2, 6.
Example 1:
Input:
[[0,1,10], [2,0,5]]
Output:
2
Explanation:
Person #0 gave person #1 $10.
Person #2 gave person #0 $5.
Two transactions are needed. One way to settle the debt is person #1 pays person #0 and #2 $5 each.
Example 2:
Input:
[[0,1,10], [1,0,1], [1,2,5], [2,0,5]]
Output:
1
Explanation:
Person #0 gave person #1 $10.
Person #1 gave person #0 $1.
Person #1 gave person #2 $5.
Person #2 gave person #0 $5.
Therefore, person #1 only need to give person #0 $4, and all debt is settled.
分析
每个人付出-,收到+,建立map, values做 debts list
dfs从某起点开始,loop加入后面每个debts,进行下一步dfs(start+1),记得debts数组要恢复。debts==0忽略
等于每次清掉start的债务,丢掉start,然后继续下一轮,直到全部债务清除。
class Solution:
def minTransfers(self, transactions: List[List[int]]) -> int:
mm = collections.defaultdict(int)
for a,b,m in transactions:
mm[a] = mm.get(a,0) - m
mm[b] = mm.get(b,0) + m
debts = list(mm.values())
n = len(debts)
def dfs(pos):
while pos < n and debts[pos] == 0:
pos += 1
if pos == n:
return 0
r = float('inf')
for i in range(pos+1, n):
if debts[i]*debts[pos] < 0:
debts[i] += debts[pos]
r= min(r,1+dfs(pos+1))
debts[i] -= debts[pos]
return r
return dfs(0)
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