474-ones-and-zeroes¶
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Description¶
You are given an array of binary strings strs and two integers m and n.
Return the size of the largest subset of strs such that there are at most m 0's and n 1's in the subset.
A set x is a subset of a set y if all elements of x are also elements of y.
Example 1:
Input: strs = ["10","0001","111001","1","0"], m = 5, n = 3
Output: 4
Explanation: The largest subset with at most 5 0's and 3 1's is {"10", "0001", "1", "0"}, so the answer is 4.
Other valid but smaller subsets include {"0001", "1"} and {"10", "1", "0"}.
{"111001"} is an invalid subset because it contains 4 1's, greater than the maximum of 3.
Example 2:
Input: strs = ["10","0","1"], m = 1, n = 1
Output: 2
Explanation: The largest subset is {"0", "1"}, so the answer is 2.
Constraints:
1 <= strs.length <= 6001 <= strs[i].length <= 100strs[i]consists only of digits'0'and'1'.1 <= m, n <= 100
Solution(Python)¶
from itertools import chain, combinations
class Solution:
def findMaxForm(self, strs: List[str], m: int, n: int) -> int:
return self.topdowndp(strs, m, n)
# Time Complexity : O(N*2^N)
# Space Complexity: O(2^N)
def bruteforce(self, strs: List[str], m: int, n: int) -> int:
res = 0
for subset in self.powerset(strs):
zeros = sum([s.count("0") for s in subset])
ones = sum([s.count("1") for s in subset])
if zeros < m and ones < n:
if len(subset) > res:
res = len(subset)
return res
def powerset(self, iterable):
"powerset([1,2,3]) --> () (1,) (2,) (3,) (1,2) (1,3) (2,3) (1,2,3)"
s = list(iterable)
return chain.from_iterable(combinations(s, r) for r in range(len(s) + 1))
# Time Complexity : O(n*m*N)
# Space Complexity: O(n*m*N)
def topdowndp(self, strs: List[str], m: int, n: int) -> int:
@cache
def backtrack(m, n, i):
if m < 0 or n < 0:
return float("-inf")
if i >= len(strs):
return 0
zero = 0
one = 0
for c in strs[i]:
if c == "0":
zero += 1
else:
one += 1
include = 1 + backtrack(m - zero, n - one, i + 1)
exclude = backtrack(m, n, i + 1)
return max(include, exclude)
return backtrack(m, n, 0)