
Problem Statement
In the context of software development, managing different versions of a product is critical, especially when identifying defective (bad) versions that may affect subsequent releases. As a product manager in such a scenario, your objective is to find the earliest bad version from a sequential list of versions labeled from 1 to n. Once a version is identified as bad, all subsequent versions are also deemed bad due to cumulative updates and dependencies.
You are provided with a helper function isBadVersion(version)
that returns a boolean indicating whether a given version is bad. The challenge lies in minimizing the number of API calls made to isBadVersion()
to efficiently determine the first bad version in the sequence.
Examples
Example 1
Input:
n = 5, bad = 4
Output:
4
Explanation:
call isBadVersion(3) -> false call isBadVersion(5) -> true call isBadVersion(4) -> true Then 4 is the first bad version.
Example 2
Input:
n = 1, bad = 1
Output:
1
Constraints
1 <= bad <= n <= 231 - 1
Approach and Intuition
The problem is essentially about finding the first occurrence of a bad version when versions are arranged sequentially. Given the nature of the problem where all versions subsequent to a bad version are also bad, we realize we can employ a binary search technique to optimize our search:
- Start with two pointers:
left
initialized at 1, andright
initialized at n (the total number of versions). - Calculate the midpoint
mid
using the formulamid = left + (right - left) / 2
. - Use the
isBadVersion(mid)
function to check if the midpoint version is bad:- If
isBadVersion(mid)
isfalse
, it means that the first bad version must be aftermid
, thus setleft
tomid + 1
. - If
isBadVersion(mid)
istrue
, it could be the first bad version, but there might be earlier bad versions. Thus, setright
tomid
.
- If
- Continue the process until the
left
pointer matches theright
pointer, which will then point to the first bad version.
This binary search approach reduces the potential number of isBadVersion()
calls from n
(in a worst-case linear scan) to log(n)
, improving efficiency significantly.
By analyzing examples:
- For n = 5 and the first bad version at 4, the method gradually narrows down the range from 1-5 to 4-5, pinpointing version 4 using just three checks.
- In a minimal case where n = 1 and it itself is bad, the approach quickly identifies the version as bad in a single check.
The constraint 1 <= bad <= n <= 2^31 - 1
assures us that our approach is efficient even for large values of n, fitting within reasonable computational limits.
Solutions
- Java
public int findBadVersion(int total) {
int start = 1;
int end = total;
while (start < end) {
int middle = start + (end - start) / 2;
if (isBadVersion(middle)) {
end = middle;
} else {
start = middle + 1;
}
}
return start;
}
This solution is aimed at identifying the first bad version in a series. Implementing a binary search algorithm in Java, the provided function, findBadVersion
, efficiently narrows down the range of potential bad versions to determine which was the first to fail.
Initialize two pointers,
start
at 1 andend
at the total number of versions.Use a binary search:
- Calculate
middle
by averagingstart
andend
, adjusted for integer division. - If
middle
points to a bad version, adjustend
tomiddle
as any version after and includingmiddle
could be the starting point of bad versions. - If
middle
is not a bad version, adjuststart
tomiddle + 1
as the first bad version must be aftermiddle
.
- Calculate
When
start
equalsend
, they point to the first bad version.
The function returns start
as the first bad version. This process reduces the number of checks significantly compared to a linear search, optimizing the process for larger data sets. Ensure an implementation of isBadVersion(version)
API method is available to utilize this function effectively.
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