Data Structure and Algorithms
  • Introduction
  • 面经
    • 亚马逊面经
  • Sorting
    • Quick Sort
    • Merge Sort
    • Heap Sort
  • Palindrome
    • Check String Palindrom
    • Palindrome Partitioning
    • Palindrome Partitioning II
    • Longest Palindromic Substring
    • Valid Palindrome
  • Linked List
    • Remove Duplicates from Sorted List
    • Remove Duplicates from Sorted List II
    • Remove Nth Node From End of List
    • Remove Linked List Elements
    • Remove Duplicates from Unsorted List
    • Remove duplicate Circular Linked list
    • Reverse Linked List
    • Reverse Linked List II
    • Reverse Nodes in k-Group
    • Partition List
    • Insertion Sort List
    • Reorder List
    • Linked List Cycle
    • Rotate List
    • Merge k Sorted Lists
    • Copy List with Random Pointer
    • Nth to Last Node in List
    • Add Two Numbers
    • Add Two Numbers II
    • Palindrome Linked List
  • Binary Search
    • Sqrt(x)
    • Search a 2D Matrix
    • Search a 2D Matrix II
    • Search Insert Position
    • First Position of Target
    • Last Position of Target
    • Count of Smaller Number
    • Search for a Range
    • Search in a Big Sorted Array
    • First Bad Version
    • Find Minimum in Rotated Sorted Array
    • Find Minimum in Rotated Sorted Array II
    • Search in Rotated Sorted Array
    • Search in Rotated Sorted Array II
    • Find Peak Element*
    • Recover Rotated Sorted Array
    • Rotate String
    • Wood Cut
    • Total Occurrence of Target
    • Closest Number in Sorted Array
    • K Closest Number in Sorted Array
    • Maximum Number in Mountain Sequence
    • Search Insert Position *
    • Pow(x, n)
    • Divide Two Integers
  • Graph
    • Clone Graph
    • Topological Sorting
    • Permutations
    • Permutations II
    • Subsets
    • Subsets II
    • Word Ladder
    • Word Ladder II
    • N-Queens
    • N-Queens II
    • Connected Component in Undirected Graph
    • Six Degrees
    • String Permutation II
    • Letter Case Permutation
  • Data Structure
    • Min Stack
    • Implement a Queue by Two Stacks
    • Largest Rectangle in Histogram
    • Max Tree
    • Rehashing
    • LRU Cache
    • Subarray Sum
    • Anagrams
    • Longest Consecutive Sequence
    • Data Stream Median
    • Heapify
    • Ugly Number
    • Ugly Number II
  • Misc
    • PlaceHolder
    • Fibonacci
  • Array and Numbers
    • Merge Sorted Array
    • Merge Two Sorted Arrays
    • Median of two Sorted Arrays
    • Best Time to Buy and Sell Stock
    • Best Time to Buy and Sell Stock II
    • Best Time to Buy and Sell Stock III
    • Maximum Subarray
    • Maximum Subarray II
    • Maximum Subarray III
    • Minimum Subarray
    • Maximum Subarray Difference
    • Subarray Sum
    • Subarray Sum Closest
    • Two Sum
    • 3Sum
    • 3Sum Closest
    • 4Sum
    • k Sum
    • k Sum II
    • Partition Array
    • Sort Letters by Case
    • Sort Colors
    • Sort Colors II
    • Interleaving Positive and Negative Numbers
    • Spiral Matrix
    • Spiral Matrix II
    • Rotate Image
  • Dynamic Programming I
    • Triangle
    • Minimum Path Sum
    • Unique Paths
    • Unique Paths II
    • Climbing Stairs
    • Jump Game
    • Jump Game II
    • 01 Matrix
    • Longest Line of Consecutive One in Matrix
    • Shortest Path in Binary Matrix
  • Dynamic Programming II
    • Word Break
    • Longest Common Subsequence
    • Longest Common Substring
    • Edit Distance
    • Distinct Subsequences
    • Interleaving String
    • k Sum
  • Binary Tree And Divide Conquer
    • Binary Tree Preorder Traversal*
    • Binary Tree Inorder Traversal*
    • Binary Tree Postorder Traversal*
    • Maximum Depth of Binary Tree
    • Minimum Depth of Binary Tree
    • Balanced Binary Tree
    • Lowest Common Ancestor
    • Binary Tree Maximum Path Sum
    • Binary Tree Maximum Path Sum II
    • Binary Tree Level Order Traversal*
    • Binary Tree Level Order Traversal II
    • Binary Tree Zigzag Level Order Traversal
    • Validate Binary Search Tree
    • Inorder Successor in Binary Search Tree
    • Binary Search Tree Iterator
    • Search Range in Binary Search Tree
    • Insert Node in a Binary Search Tree
    • Remove Node in Binary Search Tree
    • Find the kth largest element in the BST
    • Kth Smallest Element in a BST
    • Serialize and Deserialize Binary Tree*
    • Construct Binary Tree from Preorder and Inorder Traversal
    • Convert Sorted Array to Binary Search Tree
    • Unique Binary Search Trees *
    • Unique Binary Search Trees II *
    • Recover Binary Search Tree
    • Same Tree
    • Symmetric Tree
    • Path Sum*
    • Path Sum II*
    • Flatten Binary Tree to Linked List
    • Populating Next Right Pointers in Each Node
    • Sum Root to Leaf Numbers
    • Binary Tree Right Side View
    • Count Complete Tree Nodes
    • Invert Binary Tree
    • Binary Tree Paths*
    • Subtree of Another Tree
  • A家面试总结
  • Expedia面经收集
  • Python 常用语句
  • lotusflare
  • Microsoft
  • 模板
  • Bing 组面试总结
  • 面试笔记
  • Sliding window
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  1. Binary Search

First Bad Version

You are a product manager and currently leading a team to develop a new product. Unfortunately, the latest version of your product fails the quality check. Since each version is developed based on the previous version, all the versions after a bad version are also bad.

Suppose you have n versions [1, 2, ..., n] and you want to find out the first bad one, which causes all the following ones to be bad.

You are given an API bool isBadVersion(version) which will return whether version is bad. Implement a function to find the first bad version. You should minimize the number of calls to the API.

Solution:

Can be like this way: n = 100 是个自然数,而不是数组,这里的函数可以传递给第几个版本,然后告诉你这个版本是否是坏的。

/**
 * 本代码由九章算法编辑提供。版权所有,转发请注明出处。
 * - 九章算法致力于帮助更多中国人找到好的工作,教师团队均来自硅谷和国内的一线大公司在职工程师。
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 * - 更多详情请见官方网站:http://www.jiuzhang.com/?source=code
 */

class Solution:
    """
    @param n: An integers.
    @return: An integer which is the first bad version.
    """
    def findFirstBadVersion(self, n):
        start, end = 1, n
        while start + 1 < end:
            mid = (start + end) / 2
            if SVNRepo.isBadVersion(mid):
                end = mid
            else:
                start = mid
        if SVNRepo.isBadVersion(start):
            return start
        return end
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Last updated 4 years ago

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