-
Notifications
You must be signed in to change notification settings - Fork 3
/
Copy path1074.number-of-submatrices-that-sum-to-target.py
87 lines (65 loc) · 2.36 KB
/
1074.number-of-submatrices-that-sum-to-target.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
from lc import *
# https://leetcode.com/problems/number-of-submatrices-that-sum-to-target
class Solution:
def numSubmatrixSumTarget(self, m: List[List[int]], t: int) -> int:
m, w, r = [[*accumulate(a)]for a in m],len(m[0]),0
for j in range(w):
for k in range(j,w):
c = Counter([0])
s = 0
for x in m:
s += x[k] - (j and x[j-1])
r += c[s-t]
c[s] += 1
return r
class Solution:
def numSubmatrixSumTarget(self, m: List[List[int]], t: int) -> int:
m,w,r=[[*accumulate(a)]for a in m],len(m[0]),0;[(c:=Counter([0]),s:=0,[c.update([(r:=r+c[(s:=s+x[k]-(j and x[j-1]))-t],s)[1]])for x in m])for j in range(w)for k in range(j,w)];return r
class Solution:
def numSubmatrixSumTarget(self, m: List[List[int]], t: int) -> int:
a=0
for i in range(len(m)):
u = [0]*len(m[0])
for r in m[i:]:
u = [*map(add,u,r)]
c = Counter([0])
s = 0
for x in u:
s += x
a += c[s-t]
c[s] += 1
return a
class Solution:
def numSubmatrixSumTarget(self, m: List[List[int]], t: int) -> int:
a=0;[(u:=[0]*len(m[0]),[(u:=[*map(add,u,r)],c:=Counter([0]),s:=0,[(a:=a+c[(s:=s+x)-t],c.update([s]))for x in u])for r in m[i:]])for i in range(len(m))];return a
test('''
1074. Number of Submatrices That Sum to Target
Hard
3069
65
Add to List
Share
Given a matrix and a target, return the number of non-empty submatrices that sum to target.
A submatrix x1, y1, x2, y2 is the set of all cells matrix[x][y] with x1 <= x <= x2 and y1 <= y <= y2.
Two submatrices (x1, y1, x2, y2) and (x1', y1', x2', y2') are different if they have some coordinate that is different: for example, if x1 != x1'.
Example 1:
Input: matrix = [[0,1,0],[1,1,1],[0,1,0]], target = 0
Output: 4
Explanation: The four 1x1 submatrices that only contain 0.
Example 2:
Input: matrix = [[1,-1],[-1,1]], target = 0
Output: 5
Explanation: The two 1x2 submatrices, plus the two 2x1 submatrices, plus the 2x2 submatrix.
Example 3:
Input: matrix = [[904]], target = 0
Output: 0
Constraints:
1 <= matrix.length <= 100
1 <= matrix[0].length <= 100
-1000 <= matrix[i] <= 1000
-10^8 <= target <= 10^8
Accepted
91,491
Submissions
131,343
''')