LeetCode_CC150
  • Introduction
  • LeetCode
    • Single Number
    • Contains Duplicate
    • Happy Number
    • Valid Anagram
    • Contains Duplicate II
    • Count Primes
    • Isomorphic Strings
    • Word Pattern
    • Island Perimeter
    • Find the Difference
    • Palindrome Permutation
    • Two Sum III - Data structure design
    • Number of Boomerangs
    • Longest Palindrome
    • Logger Rate Limiter
    • Find All Anagrams in a String
    • Keyboard Row
    • Distribute Candies
    • Shortest Word Distance
    • Majority Element
    • Plus One
    • Best Time to Buy and Sell Stock
    • Best Time to Buy and Sell Stock II
    • Pascal's Triangle
    • Remove Element
    • Rotate Array
    • Pascal's Triangle II
    • Two Sum II - Input array is sorted
    • Third Maximum Number
    • Max Consecutive Ones
    • K-diff Pairs in an Array
    • Maximum Product of Three Numbers
    • Maximum Distance in Arrays
    • Shortest Unsorted Continuous Subarray
    • Roman to Integer
    • Count and Say
    • Valid Parentheses
    • Longest Common Prefix
    • Valid Palindrome
    • Length of Last Word
    • Repeated Substring Pattern
    • Number of Segments in a String
    • Valid Word Abbreviation
    • Longest Uncommon Subsequence I
    • Student Attendance Record I
    • Reverse Words in a String III
    • Arranging Coins
    • Guess Number Higher or Lower
    • Search Insert Position
    • Min Stack
    • Diameter of Binary Tree
    • Unique Binary Search Trees
    • Unique Binary Search Trees II
    • Binary Tree Zigzag Level Order Traversal
    • Nim Game
    • Add Digits
    • Fizz Buzz
    • Climbing Stairs
    • Array Partition I
    • Power of Three
    • Power of Four
    • Power of Two
    • Ugly Number
    • Find All Numbers Disappeared in an Array
    • Find All Duplicates in an Array
    • Minimum Moves to Equal Array Elements
    • Meeting Rooms
    • Subsets
    • Subsets II
    • Count Complete Tree Nodes
    • Minimum Size Subarray Sum
    • Maximum Size Subarray Sum Equals k
    • Sparse Matrix Multiplication
    • Meeting Rooms II
    • Letter Combinations of a Phone Number
    • Binary Tree Vertical Order Traversal
    • Find the Celebrity
    • Merge Intervals
    • One Edit Distance
    • Multiply Strings
  • Array&String
    • Subarray Sum
    • Maximum Subarray
    • Intersection of Two Arrays
    • Intersection of Two Arrays II
    • Partition List
    • Merge Sorted Array
    • Two Sum
    • 3Sum
    • Product of Array Except Self
    • Rotate Image
    • Spiral Matrix
  • Linked List
    • Merge Two Sorted Lists
    • Insert into a Cyclic Sorted List
    • Sort List
    • Linked List Cycle
    • Copy List with Random Pointer
    • Add Two Numbers
    • Delete Node in a Linked List
    • Reverse Linked List
    • Odd Even Linked List
    • Intersection of Two Linked Lists
    • Palindrome Linked List
    • Insertion Sort List
    • Remove Linked List Elements
    • Remove Duplicates from Sorted List
    • Swap Nodes in Pairs
    • Remove Nth Node From End of List
  • Binary Search
    • Missing Number
    • Valid Perfect Square
    • 744. Find Smallest Letter Greater Than Target
    • Sqrt(x)
    • First Bad Version
    • Pow(x, n)
    • Find the Duplicate Number
    • Find Minimum in Rotated Sorted Array
    • Find Minimum in Rotated Sorted Array II
    • Total Occurrence of Target
    • Search in a Big Sorted Array
    • Longest Increasing Subsequence
    • Find Peak Element
    • Search in Rotated Sorted Array
    • Search a 2D Matrix
    • Search a 2D Matrix II
    • Closest Number in Sorted Array
    • Search in Rotated Sorted Array II
    • Search for a Range
    • Maximum Number in Mountain Sequence
    • Last Position of Target
    • K Closest Numbers In Sorted Array
    • Sqrt(x) II
  • Binary Tree
    • Maximum Depth of Binary Tree
    • Invert Binary Tree
    • Same Tree
    • Binary Tree Paths
    • Lowest Common Ancestor of a Binary Search Tree
    • Balanced Binary Tree
    • Convert Sorted Array to Binary Search Tree
    • Symmetric Tree
    • Path Sum
    • Minimum Depth of Binary Tree
    • Binary Tree Preorder Traversal
    • Binary Tree Inorder Traversal
    • Binary Tree Level Order Traversal
    • Binary Tree Level Order Traversal II
    • Minimum Subtree
    • Flatten Binary Tree to Linked List
    • Binary Tree Longest Consecutive Sequence
    • Subtree with Maximum Average
    • Number of Islands
    • Serialize and Deserialize Binary Tree
    • Clone Graph
  • Data Structure
    • Hash Table
    • Bubble Sort
    • Selection Sort
    • Binary Search
    • Merge Sort
    • Binary Tree
    • 递归
    • DFS BFS
    • python技巧
  • two pointers
    • Reverse Vowels of a String
    • Reverse String
    • Remove Duplicates from Sorted Array
    • LeetCode 11. Container With Most Water
    • Strobogrammatic Number
    • Move Zeroes
    • Implement strStr()
  • 哈希表
    • Ransom Note
    • Minimum Index Sum of Two Lists
    • Longest Harmonious Subsequence
    • Untitled
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  • 解题思路:
  • 二刷:

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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 havenversions[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 APIbool isBadVersion(version)which will return whetherversionis bad. Implement a function to find the first bad version. You should minimize the number of calls to the API.

题目大意:

你是一名产品经理,正在领导团队开发一个新产品。不幸的是,产品的最新版本没有通过质量检测。由于每一个版本都是基于上一个版本开发的,某一个损坏的版本之后的所有版本全都是坏的。

假设有n个版本[1, 2, ..., n],你想要找出第一个损坏的版本,它导致所有后面的版本都坏掉了。

给你一个APIbool isBadVersion(version),返回某一个版本是否损坏。实现一个函数找出第一个损坏的版本。你应该最小化调用API的次数。

解题思路:

二分法(Binary Search),由于这题很有规律,好版本和坏版本一定有个边界,那么我们用二分法来找这个边界,对mid值调用API函数,如果是坏版本,说明边界在左边,则把mid-1赋值给right,如果是好版本,则说明边界在右边,则把mid+1赋给left,最后返回left即可。需要注意的是,OJ里有个坑,那就是如果left和right都特别大的话,那么left+right可能会溢出,我们的处理方法就是变成left + (right - left) / 2,很好的避免的溢出问题。

为什么最后返回left?

# The isBadVersion API is already defined for you.
# @param version, an integer
# @return a bool
# def isBadVersion(version):

class Solution(object):
    def firstBadVersion(self, n):
        """
        :type n: int
        :rtype: int
        """
        left, right = 1, n
        while left <= right:
            mid = (left + right) / 2
            if isBadVersion(mid):
                right = mid - 1
            else:
                left = mid + 1
        return left

二刷:

这道题有点像在array中找出和target相等的最小index那道题

因为start=mid,end=mid不会错过badversion,所以最后循环结束,start和end中至少有一个badversion

# The isBadVersion API is already defined for you.
# @param version, an integer
# @return a bool
# def isBadVersion(version):

class Solution(object):
    def firstBadVersion(self, n):
        """
        :type n: int
        :rtype: int
        """

        start, end = 1, n
        while start+1 < end:
            mid = (start+end)/2
            if isBadVersion(mid):
                end = mid
            else:
                start = mid
        if isBadVersion(start):
            return start
        return end
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Last updated 5 years ago

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