1247. Minimum Swaps to Make Strings Equal
Problem Description
In this problem, we are given two strings s1
and s2
. Both strings have the same length and contain only the characters 'x'
and 'y'
. Our objective is to make the two strings identical by performing swaps between the characters of the two strings. A swap involves taking one character from s1
and one character from s2
and exchanging them. The goal is to determine the minimum number of swaps required to make the two strings identical. If it's not possible to make the strings equal, we must return -1
.
Intuition
The solution is based on counting how many characters are out of place when comparing both strings. We look for characters that are 'x'
in s1
and 'y'
in s2
, and vice versa, since these are the only ones that need to be swapped to make the strings equal. There are two types of mismatches:
- An
'xy'
mismatch: wheres1
has an'x'
ands2
has a'y'
at the same position. - A
'yx'
mismatch: wheres1
has a'y'
ands2
has an'x'
at the same position.
- If we have an even number of
'xy'
and'yx'
mismatches, we can always solve the problem. - We can swap odd mismatches within themselves, for instance, an odd count of
'xy'
mismatches can be made even by performing one swap inside the'xy'
set (changing two'xy'
to two'yx'
). This adds one more swap to our answer for each odd count. - Each pair of mismatches ('xy' with 'yx') can be solved with one swap, so the pair count contributes directly to the total number of swaps.
The algorithm checks if there is an even total number of mismatches. If it's odd, we return -1
because we would always end up with one character that cannot be matched. If it's even, we sum the half of each count (because a swap fixes two mismatches) and case for odd counts, which contributes one additional swap for each.
Solution Approach
The implementation of the solution uses a simple counter-based approach without any sophisticated data structures or patterns. The core of the solution revolves around counting the discrepancies between the two strings and categorizing them as xy
or yx
, followed by calculating the number of swaps needed based on these counts.
Let's walk through the steps present in the Python code provided:
- Initialize two counters
xy
andyx
to 0. These will hold the counts for mismatches wheres1[i]
is 'x' ands2[i]
is 'y', and wheres1[i]
is 'y' ands2[i]
is 'x', respectively. - Iterate over both strings in parallel by using the
zip
function, which allows us to obtain pairs of characters (a, b) froms1
ands2
. - For each pair (a, b), increment the
xy
counter ifa < b
, which means we have an 'x' ins1
and a 'y' ins2
. Similarly, increment theyx
counter ifa > b
, which indicates a 'y' ins1
and an 'x' ins2
. - Once we've counted all mismatches, we check whether the sum of
xy
andyx
is even. If it's not ((xy + yx) % 2
is truthy), we return-1
because this means it's impossible to make the strings equal. - If the sum is even, we calculate the number of swaps. We calculate
xy // 2
to see how many pairs of 'xy' mismatches can be swapped directly, which also applies toyx // 2
pairs of 'yx' mismatches. Additionally, for each type of mismatch, if there's an odd one out (checked byxy % 2
andyx % 2
), it requires an extra swap. - The minimum number of swaps required is the sum of these values, which is
xy // 2 + yx // 2 + xy % 2 + yx % 2
, meaning the number of direct swaps for pairs plus the extra swaps for any remaining mismatch.
The logic applied here uses basic arithmetic and logic to deduce the number of required actions to align the two strings. It's a pragmatic approach that is both efficient and clear in its purpose.
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Let's illustrate the solution approach with a small example. Consider two strings s1 = "xyyx"
and s2 = "yxyx"
.
Following the steps of the solution:
-
Initialize counters
xy
andyx
to 0. -
Iterate over both strings
s1
ands2
and compare the corresponding characters usingzip
:- For the first pair (
s1[0] = 'x'
,s2[0] = 'y'
), sinces1[0] < s2[0]
, incrementxy
to 1. - For the second pair (
s1[1] = 'y'
,s2[1] = 'x'
),s1[1] > s2[1]
, so incrementyx
to 1. - The third pair (
s1[2] = 'y'
,s2[2] = 'y'
) matches, so no counter is incremented. - For the fourth pair (
s1[3] = 'x'
,s2[3] = 'x'
), again they match, so no counter is increased.
After this step,
xy
equals 1, andyx
equals 1. - For the first pair (
-
Check if the sum of
xy
andyx
is even:1 + 1 = 2
which is even, so continue. -
Calculate the minimum number of swaps:
- Pairs of 'xy' mismatches that can be swapped directly:
xy // 2 = 1 // 2 = 0
. - Pairs of 'yx' mismatches that can be swapped directly:
yx // 2 = 1 // 2 = 0
. - An extra swap is needed for the one 'xy' mismatch:
xy % 2 = 1 % 2 = 1
. - An extra swap is needed for the one 'yx' mismatch:
yx % 2 = 1 % 2 = 1
.
- Pairs of 'xy' mismatches that can be swapped directly:
-
The total number of swaps needed is:
xy // 2 + yx // 2 + xy % 2 + yx % 2 = 0 + 0 + 1 + 1 = 2
.
Therefore, for s1 = "xyyx"
and s2 = "yxyx"
, it takes a minimum of 2 swaps to make the strings identical. The swaps that could be performed would be between the first character of s1
with the second character of s2
, and the second character of s1
with the first character of s2
. After these swaps, both s1
and s2
will be "xyxy"
.
Solution Implementation
1class Solution:
2 def minimumSwap(self, s1: str, s2: str) -> int:
3 # Counters for "x-y" and "y-x" pairs
4 count_xy = count_yx = 0
5
6 # Iterate over characters of both strings simultaneously
7 for char1, char2 in zip(s1, s2):
8 # If we find a "x-y" pair, increment count_xy
9 if char1 == 'x' and char2 == 'y':
10 count_xy += 1
11 # If we find a "y-x" pair, increment count_yx
12 elif char1 == 'y' and char2 == 'x':
13 count_yx += 1
14
15 # If the sum of both counts is odd, we can't make them equal, thus return -1
16 if (count_xy + count_yx) % 2 != 0:
17 return -1
18
19 # For pairs "xy" or "yx" that match directly, each pair takes one swap
20 swaps = count_xy // 2 + count_yx // 2
21
22 # For the remaining unpaired "xy" or "yx", they take two swaps to balance
23 # As there would be one "xy" and one "yx" remaining for an even total of mismatches
24 swaps += 2 * (count_xy % 2)
25
26 return swaps
27
1class Solution {
2 public int minimumSwap(String s1, String s2) {
3 // Counters for 'x' in s1 and 'y' in s2, and 'y' in s1 and 'x' in s2
4 int countXY = 0, countYX = 0;
5
6 // Loop through the strings to count 'xy' and 'yx' pairs
7 for (int i = 0; i < s1.length(); i++) {
8 char charS1 = s1.charAt(i), charS2 = s2.charAt(i);
9 // If s1 has 'x' and s2 has 'y', increment countXY
10 if (charS1 == 'x' && charS2 == 'y') {
11 countXY++;
12 }
13 // If s1 has 'y' and s2 has 'x', increment countYX
14 if (charS1 == 'y' && charS2 == 'x') {
15 countYX++;
16 }
17 }
18
19 // If the sum of countXY and countYX is odd, return -1, as it's impossible to swap to equality
20 if ((countXY + countYX) % 2 == 1) {
21 return -1;
22 }
23
24 // The minimum swaps is the sum of:
25 // - Half the pairs of 'xy' and 'yx', as two swaps can solve two pairs,
26 // - and one swap for each of the remaining 'xy' or 'yx' if there is an odd count.
27 return countXY / 2 + countYX / 2 + countXY % 2 + countYX % 2;
28 }
29}
30
1class Solution {
2public:
3 // Function to calculate the minimum number of swaps to make two strings equal
4 int minimumSwap(string s1, string s2) {
5 int countXY = 0; // Number of occurrences where 'x' in s1 is aligned with 'y' in s2
6 int countYX = 0; // Number of occurrences where 'y' in s1 is aligned with 'x' in s2
7
8 // Loop through both strings character by character
9 for (int i = 0; i < s1.size(); ++i) {
10 char charFromS1 = s1[i], charFromS2 = s2[i];
11 if (charFromS1 == 'x' && charFromS2 == 'y') {
12 // Increment count for 'x' in s1 and 'y' in s2
13 countXY++;
14 } else if (charFromS1 == 'y' && charFromS2 == 'x') {
15 // Increment count for 'y' in s1 and 'x' in s2
16 countYX++;
17 }
18 }
19
20 // If the sum of countXY and countYX is odd, it's not possible to make the strings equal
21 if ((countXY + countYX) % 2 != 0) {
22 return -1; // Return -1 to indicate the impossibility
23 }
24
25 // The number of swaps is calculated by adding:
26 // - Half of countXY because two 'xy' pairs can be corrected by a single swap
27 // - Half of countYX for the same reason as above
28 // - The remainder of countXY divided by 2, because one 'xy' cannot be solved without an extra 'yx' pair
29 // Similarly, one cannot solve an extra 'yx' without an extra 'xy' so countYX % 2 is also needed
30 return countXY / 2 + countYX / 2 + countXY % 2 + countYX % 2;
31 }
32};
33
1function minimumSwap(s1: string, s2: string): number {
2 let countXY = 0, // count of 'x' in s1 and 'y' in s2 at the same position
3 countYX = 0; // count of 'y' in s1 and 'x' in s2 at the same position
4
5 // Iterate through the strings to count 'xy' and 'yx' pairs
6 for (let i = 0; i < s1.length; ++i) {
7 const charS1 = s1[i],
8 charS2 = s2[i];
9
10 if (charS1 === 'x' && charS2 === 'y') {
11 ++countXY; // Increase count for 'xy' pair
12 }
13 if (charS1 === 'y' && charS2 === 'x') {
14 ++countYX; // Increase count for 'yx' pair
15 }
16 }
17
18 // Check if the sum of 'xy' and 'yx' pairs is odd, return -1 since it's not possible to swap to equality
19 if ((countXY + countYX) % 2 === 1) {
20 return -1;
21 }
22
23 // Calculate minimum swaps:
24 // Each pair of 'xy' or 'yx' requires one swap
25 // If there's an odd number of 'xy' or 'yx', it takes two additional swaps to fix both
26 return Math.floor(countXY / 2) + Math.floor(countYX / 2) + (countXY % 2) + (countYX % 2);
27}
28
Time and Space Complexity
Time Complexity
The time complexity of the given function is O(n)
, where n
is the length of the strings s1
and s2
. This is because the function consists of a single loop that iterates through all characters of s1
and s2
in a pairwise manner using the zip
function. Within the loop, only constant time operations are performed (comparison and addition).
Space Complexity
The space complexity of the given function is O(1)
. There are only a fixed number of integer variables (xy
and yx
) initialized and used for counting the occurrences, which do not depend on the size of the input strings. Thus, the amount of additional memory required remains constant regardless of the input size.
Learn more about how to find time and space complexity quickly using problem constraints.
In a binary min heap, the minimum element can be found in:
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