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WEIGHT3 - VEGETABLE SHOPKEEPER 3 |
The cost of the vegetables is directly proportional to its weight. The vegetable shopkeeper wants to minimize the loss and maximize his profit.
At first, the customer picks n number of vegetables with their sum of weight >= target weight. This is given as input.
Then the shopkeeper can choose any combination of the vegetables picked by the customer. But the sum of weight must remain >= target weight.
The shopkeeper is experienced enough to estimate the weight of any vegetable by looking at it.
Given the target weight and the individual weights of all the vegetables, find the minimum weight loss for the shopkeeper.
weight loss = sum of weight of vegetables chosen by shopkeeper - target weight.
Input
The first line consists of an integer t, the number of test cases. For each test case the first line consists of two integers n and W, the number of vegetables picked by the customer and the target weight respectively. The next line consists of n integers denoting the weights of each vegetable.
Output
For each test case, find the minimum weight loss for the shopkeeper.
Constraints
1 <= t <= 100
1 <= n <= 100
1 <= weight of each vegetable <= 1000
1 <= W <= 50000
Sample
Input 3 3 40 20 15 15 5 24 5 9 7 10 10 4 40 20 15 15 8 Output 10 0 3
See also tutorial version (easy test cases): VEGETABLE SHOPKEEPER 1
Added by: | cegprakash |
Date: | 2016-11-18 |
Time limit: | 3s |
Source limit: | 50000B |
Memory limit: | 1536MB |
Cluster: | Cube (Intel G860) |
Languages: | All except: MAWK BC BF NCSHARP COFFEE DART FORTH GOSU JULIA KTLN OCT PROLOG PYPY3 R RACKET SQLITE SWIFT UNLAMBDA |
hide comments
2016-11-27 06:17:59 cegprakash
It shouldn't. Spoj's cube cluster can run 10^9 operations in a second. |
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2016-11-27 04:08:13
Does O(10^9) also cause TLE ? |
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2016-11-27 03:29:11 cegprakash
If you are using a recursion without avoiding recomputation, it will lead to an exponential time solution leading to a TLE. |