我正在致力于这项名为相似度测量的编码挑战。现在的问题是我的代码对于某些测试用例工作正常,并且由于时间限制超出问题而失败。不过,我的代码并没有错,输入范围10^4需要超过25秒。
我需要知道我能做些什么来提高效率,我想不出比我的代码更好的解决方案。
问题是这样的:
Problems states that given an array of positive integers, and now we have to answer based upon the Q queries.
Query: Given two indices L,R, determine the maximum absolute difference of index of two same elements lies between L and R
If in a range, there are no two same inputs then return 0
INPUT FORMAT
The first line contains N, no. of elements in the array A The Second line contains N space separated integers that are elements of the array A The third line contains Q the number of queries Each of the Q lines contains L, R
CONSTRAINTS
1 <= N, Q <= 10^4 1 <= Ai <= 10^4 1 <= L, R <= N
OUTPUT FORMAT
For each query, print the ans in a new line
Sample Input
5 1 1 2 1 2 5 2 3 3 4 2 4 3 5 1 5
Sample Output
0 0 2 2 3
Explanation
[2,3] - No two elements are same [3,4] - No two elements are same [2,4] - there are two 1's so ans = |4-2| = 2 [3,5] - there are two 2's so ans = |5-3| = 2 [1,5] - there are three 1's and two 2's so ans = max(|4-2|, |5-3|, |4-1|, |2-1|) = 3
这是我的算法:
- To take the input and test the range in a different method
- Input will be L, R and the Array
- For difference between L and R equal to 1, check if the next element is equal, return 1 else return 0
- For difference more than 1, loop through array
- Make a nested loop to check for the same element, if yes, store the difference into maxVal variable
- Return maxVal
我的代码:
def ansArray(L, R, arr):
maxVal = 0
if abs(R - L) == 1:
if arr[L-1] == arr[R-1]: return 1
else: return 0
else:
for i in range(L-1, R):
for j in range(i+1, R):
if arr[i] == arr[j]:
if (j-i) > maxVal: maxVal = j-i
return maxVal
if __name__ == '__main__':
input()
arr = (input().split())
for i in range(int(input())):
L, R = input().split()
print(ansArray(int(L), int(R), arr))
请帮我解决这个问题。我真的很想学习一种不同的、更有效的方法来解决这个问题。需要通过所有测试用例。 :)
最佳答案
您可以尝试以下代码:
import collections
def ansArray(L, R, arr):
dct = collections.defaultdict(list)
for index in range(L - 1, R):
dct[arr[index]].append(index)
return max(lst[-1] - lst[0] for lst in dct.values())
if __name__ == '__main__':
input()
arr = (input().split())
for i in range(int(input())):
L, R = input().split()
print(ansArray(int(L), int(R), arr))
说明:
dct
是一个字典,它为每个看到的数字保留一个索引列表。该列表已排序,因此 lst[-1] - lst[0]
将给出该数字的最大绝对差值。将 max
应用于所有这些差异,您就会得到答案。代码复杂度为 O(R - L)。
关于python - Python 中的相似性度量,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/58155169/