First Bad Version
To solve this coding challenge, we need to find the first bad version of a product efficiently, given the constraint that a version is bad if and only if all subsequent versions are also bad. This problem is a classic example of utilizing a binary search algorithm to minimize the number of API calls to check whether a version is bad.
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Feel free to ask if you need any additional clarification or further breakdown of any part of the solution!
Explanation
The problem itself is well-suited for a binary search approach due to the ordered nature of the versions from 1 to n. With binary search, we can halve the search space after each API call, which ensures that we are efficiently narrowing down to the first bad version. To break down the approach step-by-step:-
Initialization
: Start with two pointers:
left
right
n
- Binary Search Loop :
-
Calculate the middle point:
mid = (left + right) // 2
-
Use the
isBadVersion(mid)
mid
-
If
mid
mid
mid
right
mid
-
If
mid
mid
left
mid + 1
-
Termination
: The binary search loop continues until
left
right
left
right
Here is the detailed pseudocode to achieve the solution:
- Initialization :
-
We set two pointers,
left
right
-
left
right
n
- Binary Search Loop :
- Calculate the midpoint to split the search range into two halves.
-
Use the
isBadVersion(mid)
-
If
isBadVersion(mid)
True
right
mid
mid
-
If
isBadVersion(mid)
False
left
mid + 1
mid
- Termination :
-
The loop ends when
left
right
left
right
# Initialize the binary search variables
left = 1 # Starting from the first version
right = n # Ending at the last version
# Perform binary search
while left < right:
mid = left + (right - left) // 2 # Compute the middle point to avoid overflow
if isBadVersion(mid): # Check if mid version is bad
right = mid # If mid is bad, the first bad version is at mid or before it
else:
left = mid + 1 # If mid is not bad, the first bad version is after mid
# At the end of the loop, left will be the first bad version
return left
Step-by-Step Explanation
n