As the title of question suggests that we have to find the number of occurences of particular string in a grid of characters of size N(<=1000). We can only go diagonally. For Example
5 //N
B X A X X //grid
X A X X X
X B B X X
X A X A X
X X B X X
ABA //Finding its occurence in the above grid
Answer is 14
I don't know how to solve this question. I have seen people doing this with some kind of recursion (they say it's backtracking).
What I have done till now
I tried to solve this using BFS and it gives right answer for small cases but not giving anything for large N.
My code for BFS that I have tried
#include <bits/stdc++.h>
using namespace std;
#define pb push_back
#define nline puts("\n")
vector<pair<int,int> >v;
#define e .00000001
string s;
char ch[1000][1000];
int dx[4] = {1, 1, -1, -1};
int dy[4] = { -1, 1, 1, -1 };
char vis[1000][1000];
int n,total=0;
struct data
{
int x,y;
void set(int _x,int _y)
{
x=_x;
y=_y;
}
};
void bfs(data src)
{
vis[src.x][src.y]=true;
queue<data>Q;
Q.push(src);
int len=1;
while(not Q.empty())
{
data ss=Q.front();
Q.pop();
for(int i=0;i<4;i++)
{
int xx=dx[i]+ss.x;
int yy=dy[i]+ss.y;
if(len<=s.length()-1 and ch[xx][yy]==s[len] and xx>=0 and xx<n and yy>=0 and yy<n and (not vis[xx][yy]))
{
vis[xx][yy]=true;
data tem;
tem.set(xx,yy);
Q.push(tem);
len++;
}
}
}
if(len==s.length())total++;
}
int main() {
cin>>n;
for(int i=0;i<n;i++)
for(int j=0;j<n;j++)
cin>>ch[i][j];
cin>>s;
for(int i=0;i<n;i++)
{
for(int j=0;j<n;j++)
{
if(ch[i][j]==s[0])
{
data start;
start.set(i,j);
bfs(start);
memset(vis,0,sizeof vis);
}
}
}
cout<<total<<endl;
return 0;
}
Can anyone help me out? :)
答案 0 :(得分:0)
递归解决方案,不是你要求的,但我希望它有所帮助。
我们将使用一个函数来检查矩阵的每个元素的出现次数。如果grid[1][1]
匹配字符串的第一个字符,我们需要检查对角线相邻元素是否与字符串的第二个字符匹配。我们可以删除字符串的第一个字符,只需使用新字符串在相邻元素上调用相同的函数。
(Python代码,但即使你不了解Python也应该是可以理解的)
首先,我们创建一个辅助函数来返回有效的对角线邻居。
def valid_neighbors(i,j, N):
# Returns a list of valid diagonal neighbors(Do not exceed matrix borders).
neighbors = [(i-1, j-1), (i+1, j+1), (i+1, j-1), (i-1, j+1)]
return [m for m in neighbors if (0 <= m[0] < N) and (0 <= m[1] < N)]
接下来是检查事件的递归函数(注释解释逻辑)。
def find(matrix, N, i, j, string):
occurrences = 0
if string == matrix[i][j]:
# Found one occurrence, nothing else to do.
return 1
if string[0] == matrix[i][j]:
# First letter of the string match, seek for possible occurrences.
for new_i, new_j in valid_neighbors(i, j, N):
# Go over all valid diagonal moves
if matrix[new_i][new_j] == string[1]:
# If the char in the new location match the next character of the string,
# recursively call this function with the new position and the input string
# minus the first character ("ABCD" -> "BCD").
occurrences += find(matrix, N, new_i, new_j, string[1:])
# Finally return the number of occurrences found.
return occurrences
它适用于矩阵的单个元素,我们需要为每个元素调用函数并对结果求和。
def wrapper(matrix, string):
# Call find on every element of the matrix and sum the results.
occurrences = 0
N = len(matrix)
for i in range(N):
for j in range(N):
occurrences += find(matrix, N, i, j, string)
return occurrences
您可以构建一个缓存机制来提高性能。
在输入矩阵上运行代码:
mat = [
['B', 'X', 'A', 'X', 'X'],
['X', 'A', 'X', 'X', 'X'],
['X', 'B', 'B', 'X', 'X'],
['X', 'A', 'X', 'A', 'X'],
['X', 'X', 'B', 'X', 'X']
]
print wrapper(mat, "ABA")
14