Data Structure and Algorithms
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    • Min Stack
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    • Subarray Sum
    • Anagrams
    • Longest Consecutive Sequence
    • Data Stream Median
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    • Ugly Number
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  • Misc
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  • Array and Numbers
    • Merge Sorted Array
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    • Median of two Sorted Arrays
    • Best Time to Buy and Sell Stock
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    • Maximum Subarray
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    • Maximum Subarray III
    • Minimum Subarray
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    • Two Sum
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    • 3Sum Closest
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    • Partition Array
    • Sort Letters by Case
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    • Spiral Matrix
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  • Dynamic Programming I
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    • 01 Matrix
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    • Word Break
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  • Binary Tree And Divide Conquer
    • Binary Tree Preorder Traversal*
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    • Maximum Depth of Binary Tree
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    • 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
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    • 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
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  1. Data Structure

Longest Consecutive Sequence

Given an unsorted array of integers, find the length of the longest consecutive elements sequence.

Clarification

Your algorithm should run in O(n) complexity.

Example

Given [100, 4, 200, 1, 3, 2],

The longest consecutive elements sequence is [1, 2, 3, 4]. Return its length: 4.

Solution

(1) 先排序在计算

It's a very tricky question, when do the sort , it's possbile to get dupliate value, it's very important to jump from the duplicate value.

0 1 1 2 3 4 5

(2) 利用哈希表来实现。

这道题利用HashSet的唯一性解决,能使时间复杂度达到O(n)。首先先把所有num值放入HashSet,然后遍历整个数组,如果HashSet中存在该值,就先向下找到边界,找的同时把找到的值一个一个从set中删去,然后再向上找边界,同样要把找到的值都从set中删掉。所以每个元素最多会被遍历两边,时间复杂度为O(n)。

class Solution:
    """
    @param num, a list of integer
    @return an integer
    """
    def longestConsecutive(self, num):
        dict = []
        longest = 0 

        for n in num:
            dict.append(n)

        for n in num:
            down = n - 1
            while down in dict:
                dict.remove(down)
                down -= 1

            up = n + 1
            while up in dict:
                dict.remove(up)
                up += 1
            longest = max(longest, up - down - 1)
        return longest
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