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.

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:
  1. Initialization : Start with two pointers:
    left
    set to 1 (the first version) and
    right
    set to
    n
    (the last version).
  2. Binary Search Loop :
    • Calculate the middle point:
      mid = (left + right) // 2
      .
    • Use the
      isBadVersion(mid)
      API to check if
      mid
      is a bad version.
    • If
      mid
      is a bad version, it means that the first bad version could be
      mid
      itself or another version before
      mid
      . Hence, adjust the
      right
      pointer to
      mid
      .
    • If
      mid
      is not a bad version, it means that the first bad version must be after
      mid
      . Therefore, adjust the
      left
      pointer to
      mid + 1
      .
  3. Termination : The binary search loop continues until
    left
    is equal to
    right
    . This point,
    left
    (or
    right
    as both will be equal), will be the first bad version.
  4. Here is the detailed pseudocode to achieve the solution:
                                                
    # 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

  5. Initialization :
    • We set two pointers,
      left
      and
      right
      , to represent the current search range.
    • left
      starts at 1 (the beginning of the versions), and
      right
      starts at
      n
      (the end of the versions).
  6. Binary Search Loop :
    • Calculate the midpoint to split the search range into two halves.
    • Use the
      isBadVersion(mid)
      to determine if the midpoint is a bad version.
    • If
      isBadVersion(mid)
      returns
      True
      , adjust the
      right
      pointer to
      mid
      , effectively narrowing the search range to the left half including
      mid
      .
    • If
      isBadVersion(mid)
      returns
      False
      , adjust the
      left
      pointer to
      mid + 1
      , narrowing the search range to the right half excluding
      mid
      .
  7. Termination :
    • The loop ends when
      left
      equals
      right
      , which ensures that the first bad version is found. This will be the point where
      left
      and
      right
      meet.
This approach ensures that we find the first bad version with the minimum number of API calls, in O(log n) time complexity, making it very efficient for large values of
n
.
Feel free to ask if you need any additional clarification or further breakdown of any part of the solution!