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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  1. LeetCode

Count and Say

The count-and-say sequence is the sequence of integers with the first five terms as following:

1.     1
2.     11
3.     21
4.     1211
5.     111221

1is read off as"one 1"or11. 11is read off as"two 1s"or21. 21is read off as"one 2, thenone 1"or1211.

Given an integern, generate thenthterm of the count-and-say sequence.

Note: Each term of the sequence of integers will be represented as a string.

Example 1:

Input:
 1

Output:
 "1"

Example 2:

Input:
 4

Output:
 "1211"

题意:

n = 1时,打印一个1。

n = 2时,看n=1那一行,念:1个1,所以打印:11。

n = 3时,看n=2那一行,念:2个1,所以打印:21。

n = 4时,看n=3那一行,念:一个2一个1,所以打印:1211。

思路:

逐个构建序列——根据第i-1个序列构建后第i个。理解题目意思后便知道在扫描前一个序列ret时,需要一个计数变量count记录当前字符重复的次数,以及需要一个字符变量prev记录上一个字符的值。当ret[i] = prev,则先不写入结果,而增加count。当ret[i] != prev时,说明prev的重复结束,需要将count和prev都写入结果,然后重置count为1,prev为ret[i]。

注意:跑完循环之后记得把最后一个字符也加上,因为之前只是计数而已

class Solution(object):
    def countAndSay(self, n):
        """
        :type n: int
        :rtype: str
        """
        result = '1'

        for i in xrange(2, n+1):
            prev = result[0]
            temp = ''
            count = 1
            for j in xrange(1, len(result)):
                if result[j] == prev:
                    count += 1
                else:
                    temp += str(count) + prev
                    prev = result[j]
                    count = 1
            temp += str(count) + prev
            result = temp
        return result

In Python its more efficient to use ''.join() to concatenate strings. So it will be faster to use a list to store the substrings and join them at the end.

Every time you concatenate two strings with the plus operator, the Python’s interpreter allocates some memory and copies the two strings into it, one after the other. When using the join method, Python allocates memory for the joined string only once.

class Solution(object):
    def countAndSay(self, n):
        """
        :type n: int
        :rtype: str
        """
        result = '1'

        for i in xrange(2, n+1):
            prev = result[0]
            temp = []
            count = 1
            for j in xrange(1, len(result)):
                if result[j] == prev:
                    count += 1
                else:
                    temp.append(str(count))
                    temp.append(prev)
                    prev = result[j]
                    count = 1
            temp.append(str(count))
            temp.append(prev)
            result = ''.join(temp)
        return result
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Last updated 5 years ago

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