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1029. Two City Scheduling.py
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1029. Two City Scheduling.py
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'''
There are 2N people a company is planning to interview. The cost of flying the i-th person to city A is costs[i][0], and the cost of flying the i-th person to city B is costs[i][1].
Return the minimum cost to fly every person to a city such that exactly N people arrive in each city.
Example 1:
Input: [[10,20],[30,200],[400,50],[30,20]]
Output: 110
Explanation:
The first person goes to city A for a cost of 10.
The second person goes to city A for a cost of 30.
The third person goes to city B for a cost of 50.
The fourth person goes to city B for a cost of 20.
The total minimum cost is 10 + 30 + 50 + 20 = 110 to have half the people interviewing in each city.
Note:
1 <= costs.length <= 100
It is guaranteed that costs.length is even.
1 <= costs[i][0], costs[i][1] <= 1000
'''
class Solution:
def twoCitySchedCost(self, costs: List[List[int]]) -> int:
a = 0
b = 0
cost = 0
costs.sort(key=lambda x : (abs(x[0]-x[1]),x[0]), reverse=True)
print(costs)
for i in range(len(costs)):
if costs[i][0]<=costs[i][1]:
if a<len(costs)//2:
cost+=costs[i][0]
a+=1
else:
cost+=costs[i][1]
b+=1
else:
if b<len(costs)//2:
cost+=costs[i][1]
b+=1
else:
cost+=costs[i][0]
a+=1
return cost