Information is present in the screenshot and below. Based on that need help in solving the code for this problem in python. The time complexity has to be as less as possible (nlogn or n at best, no n^2). Apply dynamic programming. Do not use recursion. Make sure ALL test cases return expected outputs. Output Format Output a single line containing the fastest time to get to square N from square 1. Sample Input 0 5 2 1 4 1 3 Sample Output 0 6 Explanation 0 The optimal answer is to: RUN to square 2 (+2 seconds). Sonic now has 1 energy. DASH to square 3 (+1 second). Sonic now has 0 energy. RUN to square 4 (+2 seconds). Sonic now has 1 energy. DASH to square 5 (+1 second). Sonic now has 0 energy. Total time is 6 seconds. Sample Input 1 5 4 2 10 0 Sample Output 1 12 Explanation 1 The optimal answer is to: RUN to square 2 (+4 seconds). Sonic now has 1 energy. RUN to square 3 (+4 seconds). Sonic now has 2 energy. DASH to square 4 (+2 seconds). Sonic now has 1 energy. DASH to square 5 (+2 seconds). Sonic now has 0 energy. Total time is 12 seconds. Sample Input 2 7 1 5 0 2 1 2 Sample Output 2 6 The actual code def solve(n,a,b,c,k,slippery): # compute and return answer here n, a, b, c, k = list(map(int,input().rstrip().split(" "))) slippery = [] if k == 0 else list(map(int,input().rstrip().split(" "))) print(solve(n,a,b,c,k,slippery))
Information is present in the screenshot and below. Based on that need help in solving the code for this problem in python. The time complexity has to be as less as possible (nlogn or n at best, no n^2). Apply dynamic programming. Do not use recursion. Make sure ALL test cases return expected outputs. Output Format Output a single line containing the fastest time to get to square N from square 1. Sample Input 0 5 2 1 4 1 3 Sample Output 0 6 Explanation 0 The optimal answer is to: RUN to square 2 (+2 seconds). Sonic now has 1 energy. DASH to square 3 (+1 second). Sonic now has 0 energy. RUN to square 4 (+2 seconds). Sonic now has 1 energy. DASH to square 5 (+1 second). Sonic now has 0 energy. Total time is 6 seconds. Sample Input 1 5 4 2 10 0 Sample Output 1 12 Explanation 1 The optimal answer is to: RUN to square 2 (+4 seconds). Sonic now has 1 energy. RUN to square 3 (+4 seconds). Sonic now has 2 energy. DASH to square 4 (+2 seconds). Sonic now has 1 energy. DASH to square 5 (+2 seconds). Sonic now has 0 energy. Total time is 12 seconds. Sample Input 2 7 1 5 0 2 1 2 Sample Output 2 6 The actual code def solve(n,a,b,c,k,slippery): # compute and return answer here n, a, b, c, k = list(map(int,input().rstrip().split(" "))) slippery = [] if k == 0 else list(map(int,input().rstrip().split(" "))) print(solve(n,a,b,c,k,slippery))
Chapter4: Making Decisions
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Problem 8E: In the game Rock paper Scissors, two players simultaneously choose one of three options: rock,...
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Information is present in the screenshot and below. Based on that need help in solving the code for this problem in python. The time complexity has to be as less as possible (nlogn or n at best, no n^2). Apply dynamic
Output Format
Output a single line containing the fastest time to get to square N from square 1.
Sample Input 0
5 2 1 4 1
3
Sample Output 0
6
Explanation 0
The optimal answer is to:
- RUN to square 2 (+2 seconds). Sonic now has 1 energy.
- DASH to square 3 (+1 second). Sonic now has 0 energy.
- RUN to square 4 (+2 seconds). Sonic now has 1 energy.
- DASH to square 5 (+1 second). Sonic now has 0 energy.
Total time is 6 seconds.
Sample Input 1
5 4 2 10 0
Sample Output 1
12
Explanation 1
The optimal answer is to:
- RUN to square 2 (+4 seconds). Sonic now has 1 energy.
- RUN to square 3 (+4 seconds). Sonic now has 2 energy.
- DASH to square 4 (+2 seconds). Sonic now has 1 energy.
- DASH to square 5 (+2 seconds). Sonic now has 0 energy.
Total time is 12 seconds.
Sample Input 2
7 1 5 0 2
1 2
Sample Output 2
6
The actual code
def solve(n,a,b,c,k,slippery): # compute and return answer here n, a, b, c, k = list(map(int,input().rstrip().split(" "))) slippery = [] if k == 0 else list(map(int,input().rstrip().split(" "))) print(solve(n,a,b,c,k,slippery)) |
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