165. Compare Version Numbers
Problem Description
The challenge is to compare two version numbers, version1
and version2
. A version number is a sequence of numbers separated by dots, with each number called a revision. The task is to compare the version numbers revision by revision, starting from the left (the first revision is revision 0, the next is revision 1, etc.).
Revision comparison is done based on the integer value of each revision, without considering any leading zeros. If a revision is missing in one of the version numbers, it should be treated as 0
. Based on the comparison, if version1
is less than version2
, we return -1
; if version1
is greater than version2
, we return 1
; and if both version numbers are the same, we return 0
.
This problem requires careful parsing of the string that represents each version number and a clear understanding of how version numbers are structured and compared.
Intuition
The intuition behind the solution is to simulate the way we compare version numbers in a real-world scenario. We start by comparing the first revision of each version. If they are equal, we proceed to the next one; if not, we determine the result based on which one is greater.
Translating this into code, we iterate through both string representations of the version numbers version1
and version2
simultaneously. Using two pointers, i
for version1
and j
for version2
, we process each revision separately. We consider the end of a revision to be either the end of the string or the character '.'
.
For each revision, we parse the number, skipping any leading zeroes, by multiplying the current value by 10
and adding the next digit. Once we have the integer values a
and b
for the current revisions of version1
and version2
, respectively, we compare these values.
If we find a difference between a
and b
, we return -1
if a
is smaller; otherwise, we return 1
. If a
and b
are equal, we move on to the next revision. If we reach the end of both strings without finding any differences, we return 0
.
The solution ensures that we only compare integer values of revisions and handles cases where the versions have a different number of revisions by treating missing revisions as 0
.
Learn more about Two Pointers patterns.
Solution Approach
The implementation of the solution employs a straightforward parsing technique to compare version numbers. Here's a step-by-step walk-through:
-
Initialize pointers and lengths: Start with defining two pointers,
i
andj
, for iterating overversion1
andversion2
respectively. Also, determine the lengths of the two versions,m
andn
. -
Iterate over the version strings: Use a
while
loop to continue the iteration as long as eitheri < m
orj < n
. This is done to handle scenarios where one version string is longer than the other. -
Parse revisions: Parse the current revision for both versions. This is done in two nested
while
loops, one for each version. A temporary variable (saya
forversion1
andb
forversion2
) is set to0
. For each digit encountered that is not a dot, multiply the current value ofa
orb
by10
and add the integer value of the current character. This effectively strips leading zeros and converts the string to an integer. Increments the appropriate pointer,i
orj
, when a digit is read. -
Compare revisions: Once both revisions are extracted, compare these integer values. If they are not equal, decide the return value based on which one is less. Return
-1
if the integer fromversion1
(a
) is less than the integer fromversion2
(b
), and return1
if it's the other way around. -
Move to the next revision: Increment the pointers
i
andj
to skip the dot and proceed to the next revision. -
Return
0
if no differences are found: If the loop concludes without returning-1
or1
, this means all revisions were equal or non-specified revisions were implicitly treated as0
. Hence, return0
.
The algorithm avoids the use of additional storage or complex data structures, opting for a simple linear parsing approach. It leverages the properties of integer arithmetic to process revisions, and pointer arithmetic to move through the version strings. Additionally, by treating non-specified revisions as 0
, the algorithm cleverly simplifies the case handling for version numbers with a different number of revisions.
The use of while-loops and conditional logic is quite efficient, ensuring that each character in the version strings is processed exactly once, giving the algorithm a time complexity of O(max(N, M)), where N and M are the lengths of the version strings. There is no reliance on additional significant space, making the space complexity O(1).
This approach to breaking down the problem, iterating through each character, and avoiding unnecessary complexity is a hallmark of many string parsing problems. By focusing on one revision at a time, the solution achieves a balance between clarity and efficiency.
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Start EvaluatorExample Walkthrough
Let's walk through a small example to illustrate how the solution approach works. We will compare two version numbers:
version1
: "1.02"
version2
: "1.2.1"
As per the given solution approach:
-
Initialize pointers and lengths:
We seti = 0
,j = 0
,m = length of "1.02" = 4
, andn = length of "1.2.1" = 5
. -
Iterate over the version strings:
We start awhile
loop wherei < m
orj < n
; in this case,0 < 4
or0 < 5
is true. -
Parse revisions:
We begin by parsing the first revision of each:- For
version1
, we parse until we encounter a dot. We skip the leading zero, anda = 1
. - For
version2
, we do the same and getb = 1
.
The pointers now point to the dots, soi = 2
andj = 2
.
- For
-
Compare revisions:
- Since
a (1) == b (1)
, we move forward.
- Since
-
Move to the next revision:
- We increment
i
andj
to skip the dot, soi = 3
andj = 3
.
- We increment
-
Parse and compare the next revisions:
- For
version1
, there is no dot until the end, so parse the next number, gettinga = 2
. - For
version2
, we getb = 2
after parsing until the next dot atj = 4
. - The comparison shows
a (2) == b (2)
, so we move forward.
- For
-
Move to the next revision:
- Increment
i
andj
to skip the dots.i
is nowm
(end ofversion1
), butj = 5
is still withinversion2
.
- Increment
-
Parse remaining revisions:
- Since
i
has reached the end,a
remains0
. - For
version2
,b
is parsed asb = 1
.
- Since
-
Final comparison and result:
- The next comparison is between
a (0)
andb (1)
. Sincea
is less, according to our rule, we return-1
.
- The next comparison is between
Therefore, for the example given version1: "1.02"
and version2: "1.2.1"
, the result of our version number comparison would be -1
, indicating that version1
is less than version2
.
Solution Implementation
1class Solution:
2 def compareVersion(self, version1: str, version2: str) -> int:
3 # Length of the version strings
4 len_version1, len_version2 = len(version1), len(version2)
5
6 # Initialize pointers for each version string
7 pointer1 = pointer2 = 0
8
9 # Loop until the end of the longest version string is reached
10 while pointer1 < len_version1 or pointer2 < len_version2:
11 # Initialize numeric values of the current version parts
12 num1 = num2 = 0
13
14 # Parse the version number from version1 until a dot is found or end is reached
15 while pointer1 < len_version1 and version1[pointer1] != '.':
16 num1 = num1 * 10 + int(version1[pointer1])
17 pointer1 += 1
18
19 # Parse the version number from version2 until a dot is found or end is reached
20 while pointer2 < len_version2 and version2[pointer2] != '.':
21 num2 = num2 * 10 + int(version2[pointer2])
22 pointer2 += 1
23
24 # Compare the parsed numbers
25 if num1 != num2:
26 # If they are not equal, determine which one is larger and return -1 or 1 accordingly
27 return -1 if num1 < num2 else 1
28
29 # Move past the dot for the next iteration
30 pointer1, pointer2 = pointer1 + 1, pointer2 + 1
31
32 # If no differences were found, the versions are equal
33 return 0
34
1class Solution {
2 public int compareVersion(String version1, String version2) {
3 int length1 = version1.length(), length2 = version2.length(); // Store the lengths of the version strings
4
5 // Initialize two pointers for traversing the strings
6 for (int i = 0, j = 0; (i < length1) || (j < length2); ++i, ++j) {
7 int chunkVersion1 = 0, chunkVersion2 = 0; // Initialize version number chunks
8
9 // Compute the whole chunk for version1 until a dot is encountered or the end of the string
10 while (i < length1 && version1.charAt(i) != '.') {
11 // Update the chunk by multiplying by 10 (moving one decimal place)
12 // and adding the integer value of the current character
13 chunkVersion1 = chunkVersion1 * 10 + (version1.charAt(i) - '0');
14 i++; // Move to the next character
15 }
16
17 // Compute the whole chunk for version2 until a dot is encountered or the end of the string
18 while (j < length2 && version2.charAt(j) != '.') {
19 chunkVersion2 = chunkVersion2 * 10 + (version2.charAt(j) - '0');
20 j++; // Move to the next character
21 }
22
23 // Compare the extracted chunks from version1 and version2
24 if (chunkVersion1 != chunkVersion2) {
25 // Return -1 if chunkVersion1 is smaller, 1 if larger
26 return chunkVersion1 < chunkVersion2 ? -1 : 1;
27 }
28 // If chunks are equal, proceed to the next set of chunks
29 }
30 // If all chunks have been successfully compared and are equal, return 0
31 return 0;
32 }
33}
34
1#include <string> // Include necessary header
2
3class Solution {
4public:
5 // Compares two version numbers 'version1' and 'version2'
6 int compareVersion(std::string version1, std::string version2) {
7 int v1Length = version1.size(), v2Length = version2.size(); // Store the sizes of both version strings
8
9 // Iterate over both version strings
10 for (int i = 0, j = 0; i < v1Length || j < v2Length; ++i, ++j) {
11 int num1 = 0, num2 = 0; // Initialize version segment numbers for comparison
12
13 // Parse the next version segment from 'version1'
14 while (i < v1Length && version1[i] != '.') {
15 num1 = num1 * 10 + (version1[i] - '0'); // Convert char to int and accumulate
16 ++i; // Move to the next character
17 }
18
19 // Parse the next version segment from 'version2'
20 while (j < v2Length && version2[j] != '.') {
21 num2 = num2 * 10 + (version2[j] - '0'); // Convert char to int and accumulate
22 ++j; // Move to the next character
23 }
24
25 // Compare the parsed version segments
26 if (num1 != num2) {
27 return num1 < num2 ? -1 : 1; // Return -1 if 'version1' is smaller, 1 if larger
28 }
29 }
30
31 // If we get to this point, the versions are equal
32 return 0;
33 }
34};
35
1function compareVersion(version1: string, version2: string): number {
2 // Split both version strings by the dot (.) to compare them segment by segment.
3 let versionArray1: string[] = version1.split('.'),
4 versionArray2: string[] = version2.split('.');
5
6 // Iterate through the segments for the maximum length of both version arrays.
7 for (let i = 0; i < Math.max(versionArray1.length, versionArray2.length); i++) {
8 // Convert the current segment of each version to a number,
9 // using 0 as the default value if the segment is undefined.
10 let segment1: number = Number(versionArray1[i] || 0),
11 segment2: number = Number(versionArray2[i] || 0);
12
13 // If the current segment of version1 is greater than version2, return 1.
14 if (segment1 > segment2) return 1;
15
16 // If the current segment of version1 is less than version2, return -1.
17 if (segment1 < segment2) return -1;
18 }
19
20 // If all segments are equal, return 0.
21 return 0;
22}
23
Time and Space Complexity
The time complexity of the given code can be considered to be O(max(M, N)), where M
is the length of version1
and N
is the length of version2
. This is because the code uses two while loops that iterate through each character of both version1
and version2
at most once. The inner while loops, which convert the version numbers from string to integer, contribute to the same overall time complexity because they iterate through each subsection of the versions delimited by the period character '.
', still not exceeding the total length of the versions.
The space complexity of the code is O(1), since it only uses a fixed number of integer variables and does not allocate any variable-sized data structures dependent on the size of the input.
Learn more about how to find time and space complexity quickly using problem constraints.
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