LeetCode 341 - Flatten Nested List Iterator


http://www.cnblogs.com/grandyang/p/5358793.html
Given a nested list of integers, implement an iterator to flatten it.
Each element is either an integer, or a list -- whose elements may also be integers or other lists.
Example 1:
Given the list [[1,1],2,[1,1]],
By calling next repeatedly until hasNext returns false, the order of elements returned by next should be:[1,1,2,1,1].
Example 2:
Given the list [1,[4,[6]]],
By calling next repeatedly until hasNext returns false, the order of elements returned by next should be:[1,4,6].
- What if the NestedInteger can be null
X. Using Stack
https://zhuhan0.blogspot.com/2017/08/leetcode-341-flatten-nested-list.html
Say there are n nested integers, and they have an average depth of d. Constructor takes O(n). next() takes O(d). hasNext() takes O(d).
https://www.jiuzhang.com/solutions/flatten-nested-list-iterator/
这道题让我们建立压平嵌套链表的迭代器,关于嵌套链表的数据结构最早出现在Nested List Weight Sum中,而那道题是用的递归的方法来解的,而迭代器一般都是用迭代的方法来解的,而递归一般都需用栈来辅助遍历,由于栈的后进先出的特性,我们在对向量遍历的时候,从后往前把对象压入栈中,那么第一个对象最后压入栈就会第一个取出来处理,我们的hasNext()函数需要遍历栈,并进行处理,如果栈顶元素是整数,直接返回true,如果不是,那么移除栈顶元素,并开始遍历这个取出的list,还是从后往前压入栈,循环停止条件是栈为空,返回false
https://leetcode.com/problems/flatten-nested-list-iterator/discuss/80147/Simple-Java-solution-using-a-stack-with-explanation
A question before this is the Nested List Weight Sum, and it requires recursion to solve. As it carries to this problem that we will need recursion to solve it. But since we need to access each NestedInteger at a time, we will use a stack to help.
In the constructor, we push all the nestedList into the stack from back to front, so when we pop the stack, it returns the very first element. Second, in the hasNext() function, we peek the first element in stack currently, and if it is an Integer, we will return true and pop the element. If it is a list, we will further flatten it. This is iterative version of flatting the nested list. Again, we need to iterate from the back to front of the list.
call hasNext() before next() internally to avoid exception

public class NestedIterator implements Iterator<Integer> {

    private Stack<NestedInteger> stack;

    public NestedIterator(List<NestedInteger> nestedList) {
        stack = new Stack<>();
        flattenList(nestedList);
    }

    @Override
    public Integer next() {
        return hasNext() ? stack.pop().getInteger() : null;
    }

    @Override
    public boolean hasNext() {
        while (!stack.isEmpty()) {
            if (stack.peek().isInteger()) return true;
            flattenList(stack.pop().getList());
        }
        return false;
    }

    private void flattenList(List<NestedInteger> list) {
        for (int i = list.size() - 1; i >= 0; i--) {
            stack.push(list.get(i));
        }
    }
}
X. Better Using a stack of ListIterators.
http://buttercola.blogspot.com/2016/06/leetcode-341-flatten-nested-list.html
The question asks to flatten a nested list of integers. So we may think of using a stack(?). The trick here is that the stack stores the iterator of each list. So each time we call the hasNext() we first check the top of the stack, and iterate the list. If the data in the list is an integer, we print it out; else, push the iterator into the stack. If the iterator has reached to the end, we pop out it from the stack. 
https://leetcode.com/problems/flatten-nested-list-iterator/discuss/80146/Real-iterator-in-Python-Java-C%2B%2B
In my opinion an iterator shouldn't copy the entire data (which some solutions have done) but just iterate over the original data structure.
I keep the current progress in a stack. My hasNext tries to find an integer. My next returns it and moves on. I call hasNext in next because hasNext is optional. Some user of the iterator might call only next and never hasNext, e.g., if they know how many integers are in the structure or if they want to handle the ending with exception handling
https://leetcode.com/problems/flatten-nested-list-iterator/discuss/80175/share-my-java-neat-solution-8ms
what I do is just to keep an additional field storing the next integer
If we call hasNext() multiple times before calling next() it will not give the right result since you are calling next on Iterator<NestedInteger> in hasNext() method which means that every time you call hasNext() it will remove the next Integer from the list.
public class NestedIterator implements Iterator<Integer> {
    Stack<Iterator<NestedInteger>> stack;
    Integer nextInteger;
    public NestedIterator(List<NestedInteger> nestedList) {
        stack = new Stack<Iterator<NestedInteger>>();
        stack.push(nestedList.iterator());
        nextInteger = null;
    }
    public Integer next() {
        Integer next = null;
        if(hasNext()) {
            next = nextInteger;
            nextInteger=null;
        }
        return next;
    }
    public boolean hasNext() {
        if(nextInteger==null) {
            while(!stack.isEmpty()) {
            Iterator<NestedInteger> cIterator = stack.peek();
            if(cIterator.hasNext()) {
                NestedInteger c = cIterator.next();
                if(c.isInteger()) {
                    nextInteger = c.getInteger();
                    return true;
                } else {
                    stack.push(c.getList().iterator());
                }
            }
            else stack.pop();
        }
        return false;
        } else return true;
    }   
}
https://leetcode.com/discuss/95937/simple-iterative-dfs-using-stack
hasNext should be idempotent and optional (so it can be called several times before each next or not at all, and next should still work properly).
public class NestedIterator implements Iterator<Integer> { Stack<Iterator<NestedInteger>> stack = new Stack<>(); Integer current = null; public NestedIterator(List<NestedInteger> nestedList) { if (nestedList != null) { stack.push(nestedList.iterator()); } } @Override public Integer next() { hasNext(); Integer value = current; current = null; return value; } @Override public boolean hasNext() { while (current == null && !stack.isEmpty()) { Iterator<NestedInteger> node = stack.peek(); if (!node.hasNext()) { stack.pop(); continue; } NestedInteger value = node.next(); if (value.isInteger()) { current = value.getInteger(); return true; } else { stack.push(value.getList().iterator()); } } return false; } }
https://discuss.leetcode.com/topic/41870/real-iterator-in-python-java-c
In my opinion an iterator shouldn't copy the entire data (which some solutions have done) but just iterate over the original data structure.
I keep the current progress in a stack. My hasNext tries to find an integer. My next returns it and moves on. I call hasNext in nextbecause hasNext is optional. Some user of the iterator might call only next and never hasNext, e.g., if they know how many integers are in the structure or if they want to handle the ending with exception handling.
public class NestedIterator implements Iterator<Integer> {

    public NestedIterator(List<NestedInteger> nestedList) {
        lists = new Stack<>();
        lists.push(nestedList.listIterator());
    }

    public Integer next() {
        hasNext();
        return lists.peek().next().getInteger();
    }

    public boolean hasNext() {
        while (!lists.empty()) {
            if (!lists.peek().hasNext()) {
                lists.pop();
            } else {
                NestedInteger x = lists.peek().next();
                if (x.isInteger())
                    return lists.peek().previous() == x; //previous to cancel side effects of next. ==x, weird

                lists.push(x.getList().listIterator());
            }
        }
        return false;
    }
    
    private Stack<ListIterator<NestedInteger>> lists;
}
http://www.cnblogs.com/grandyang/p/5358793.html
class NestedIterator {
public:
    NestedIterator(vector<NestedInteger> &nestedList) {
        for (int i = nestedList.size() - 1; i >= 0; --i) {
            s.push(nestedList[i]);
        }
    }

    int next() {
        NestedInteger t = s.top(); s.pop();
        return t.getInteger();
    }

    bool hasNext() {
        while (!s.empty()) {
            NestedInteger t = s.top(); 
            if (t.isInteger()) return true;
            s.pop();
            for (int i = t.getList().size() - 1; i >= 0; --i) {
                s.push(t.getList()[i]);
            }
        }
        return false;
    }

private:
    stack<NestedInteger> s;
};
https://leetcode.com/discuss/95846/easy-to-understand-java-solution
private List<Integer> elements = new LinkedList<>(); public NestedIterator(List<NestedInteger> nestedList) { if ( nestedList == null || nestedList.size() == 0) { return; } flatten(nestedList, elements); } @Override public Integer next() { int ret = -1; if (hasNext()) { ret = elements.remove(0); } return ret; } @Override public boolean hasNext() { return elements.size() > 0; } private void flatten(List<NestedInteger> nestedList, List<Integer> elements) { for (NestedInteger e: nestedList) { if (e.isInteger()) { elements.add(e.getInteger()); } else { flatten(e.getList(), elements); } } }
http://www.cnblogs.com/grandyang/p/5358793.html
虽说迭代器是要用迭代的方法,但是我们可以强行使用递归来解,怎么个强行法呢,就是我们使用一个队列queue,在构造函数的时候就利用迭代的方法把这个嵌套链表全部压平展开,然后在调用hasNext()和next()就很简单了:
https://leetcode.com/discuss/95849/java-dfs-solution
don't maintain the index explicitly,  use queue.remove, queue.isEmpty.
public class NestedIterator implements Iterator<Integer> { List<Integer> result; int index; public NestedIterator(List<NestedInteger> nestedList) { result = new ArrayList<Integer>(); index = 0; dfs(nestedList, result); } @Override public Integer next() { return result.get(index++); // use queue.remove } @Override public boolean hasNext() { return index != result.size(); } private void dfs(List<NestedInteger> list, List<Integer> result) { for(NestedInteger tmp : list) { if(tmp.isInteger()) result.add(tmp.getInteger()); else dfs(tmp.getList(), result); } }
http://www.jiuzhang.com/solutions/flatten-nested-iterate/

X. Just a different way but inefficent
https://discuss.leetcode.com/topic/42772/flatten-the-list-and-iterate-with-plain-next-and-hasnext-java
First flatten the list to a list of Integer by using DFS, then just call the plain next() and hasNext()
private List<Integer> flattenedList;
private Iterator<Integer> it;

public NestedIterator(List<NestedInteger> nestedList) {
    flattenedList = new LinkedList<Integer>();
    flatten(nestedList);
    it = flattenedList.iterator();
}

private void flatten(List<NestedInteger> nestedList) {
    for (NestedInteger i : nestedList) {
        if (i.isInteger()) {
            flattenedList.add(i.getInteger());
        } else {
            flatten(i.getList());
        }
    }
}

@Override
public Integer next() {
    return it.next();
}

@Override
public boolean hasNext() {
    return it.hasNext();
}
https://discuss.leetcode.com/topic/80763/evolve-from-intuition-to-optimal-a-review-of-top-solutions

http://rainykat.blogspot.com/2017/02/leetcodegf-341-flatten-nested-list.html
public class NestedIterator implements Iterator<Integer> {
    List<Integer> list = new ArrayList<>();
    int pos = 0;//current position
    public NestedIterator(List<NestedInteger> nestedList) {
        //use arrayList to store nestedList
        traverse(nestedList);
    }
    public void traverse(List<NestedInteger> nestedList){
        if(nestedList == null) return;
        for(NestedInteger e: nestedList){
            if(e.isInteger()){
                list.add(e.getInteger());
            }else{
                traverse(e.getList());//do recursion when meeting list element
            }
        }
    }
    @Override
    public Integer next() {
        return list.get(pos++);
    }

    @Override
    public boolean hasNext() {
        return pos < list.size();
    }
}

https://github.com/mintycc/OnlineJudge-Solutions/blob/master/Leetcode/341_Flatten_Nested_List_Iterator.java

Labels

LeetCode (1432) GeeksforGeeks (1122) LeetCode - Review (1067) Review (882) Algorithm (668) to-do (609) Classic Algorithm (270) Google Interview (237) Classic Interview (222) Dynamic Programming (220) DP (186) Bit Algorithms (145) POJ (141) Math (137) Tree (132) LeetCode - Phone (129) EPI (122) Cracking Coding Interview (119) DFS (115) Difficult Algorithm (115) Lintcode (115) Different Solutions (110) Smart Algorithm (104) Binary Search (96) BFS (91) HackerRank (90) Binary Tree (86) Hard (79) Two Pointers (78) Stack (76) Company-Facebook (75) BST (72) Graph Algorithm (72) Time Complexity (69) Greedy Algorithm (68) Interval (63) Company - Google (62) Geometry Algorithm (61) Interview Corner (61) LeetCode - Extended (61) Union-Find (60) Trie (58) Advanced Data Structure (56) List (56) Priority Queue (53) Codility (52) ComProGuide (50) LeetCode Hard (50) Matrix (50) Bisection (48) Segment Tree (48) Sliding Window (48) USACO (46) Space Optimization (45) Company-Airbnb (41) Greedy (41) Mathematical Algorithm (41) Tree - Post-Order (41) ACM-ICPC (40) Algorithm Interview (40) Data Structure Design (40) Graph (40) Backtracking (39) Data Structure (39) Jobdu (39) Random (39) Codeforces (38) Knapsack (38) LeetCode - DP (38) Recursive Algorithm (38) String Algorithm (38) TopCoder (38) Sort (37) Introduction to Algorithms (36) Pre-Sort (36) Beauty of Programming (35) Must Known (34) Binary Search Tree (33) Follow Up (33) prismoskills (33) Palindrome (32) Permutation (31) Array (30) Google Code Jam (30) HDU (30) Array O(N) (29) Logic Thinking (29) Monotonic Stack (29) Puzzles (29) Code - Detail (27) Company-Zenefits (27) Microsoft 100 - July (27) Queue (27) Binary Indexed Trees (26) TreeMap (26) to-do-must (26) 1point3acres (25) GeeksQuiz (25) Merge Sort (25) Reverse Thinking (25) hihocoder (25) Company - LinkedIn (24) Hash (24) High Frequency (24) Summary (24) Divide and Conquer (23) Proof (23) Game Theory (22) Topological Sort (22) Lintcode - Review (21) Tree - Modification (21) Algorithm Game (20) CareerCup (20) Company - Twitter (20) DFS + Review (20) DP - Relation (20) Brain Teaser (19) DP - Tree (19) Left and Right Array (19) O(N) (19) Sweep Line (19) UVA (19) DP - Bit Masking (18) LeetCode - Thinking (18) KMP (17) LeetCode - TODO (17) Probabilities (17) Simulation (17) String Search (17) Codercareer (16) Company-Uber (16) Iterator (16) Number (16) O(1) Space (16) Shortest Path (16) itint5 (16) DFS+Cache (15) Dijkstra (15) Euclidean GCD (15) Heap (15) LeetCode - Hard (15) Majority (15) Number Theory (15) Rolling Hash (15) Tree Traversal (15) Brute Force (14) Bucket Sort (14) DP - Knapsack (14) DP - Probability (14) Difficult (14) Fast Power Algorithm (14) Pattern (14) Prefix Sum (14) TreeSet (14) Algorithm Videos (13) Amazon Interview (13) Basic Algorithm (13) Codechef (13) Combination (13) Computational Geometry (13) DP - Digit (13) LCA (13) LeetCode - DFS (13) Linked List (13) Long Increasing Sequence(LIS) (13) Math-Divisible (13) Reservoir Sampling (13) mitbbs (13) Algorithm - How To (12) Company - Microsoft (12) DP - Interval (12) DP - Multiple Relation (12) DP - Relation Optimization (12) LeetCode - Classic (12) Level Order Traversal (12) Prime (12) Pruning (12) Reconstruct Tree (12) Thinking (12) X Sum (12) AOJ (11) Bit Mask (11) Company-Snapchat (11) DP - Space Optimization (11) Dequeue (11) Graph DFS (11) MinMax (11) Miscs (11) Princeton (11) Quick Sort (11) Stack - Tree (11) 尺取法 (11) 挑战程序设计竞赛 (11) Coin Change (10) DFS+Backtracking (10) Facebook Hacker Cup (10) Fast Slow Pointers (10) HackerRank Easy (10) Interval Tree (10) Limited Range (10) Matrix - Traverse (10) Monotone Queue (10) SPOJ (10) Starting Point (10) States (10) Stock (10) Theory (10) Tutorialhorizon (10) Kadane - Extended (9) Mathblog (9) Max-Min Flow (9) Maze (9) Median (9) O(32N) (9) Quick Select (9) Stack Overflow (9) System Design (9) Tree - Conversion (9) Use XOR (9) Book Notes (8) Company-Amazon (8) DFS+BFS (8) DP - States (8) Expression (8) Longest Common Subsequence(LCS) (8) One Pass (8) Quadtrees (8) Traversal Once (8) Trie - Suffix (8) 穷竭搜索 (8) Algorithm Problem List (7) All Sub (7) Catalan Number (7) Cycle (7) DP - Cases (7) Facebook Interview (7) Fibonacci Numbers (7) Flood fill (7) Game Nim (7) Graph BFS (7) HackerRank Difficult (7) Hackerearth (7) Inversion (7) Kadane’s Algorithm (7) Manacher (7) Morris Traversal (7) Multiple Data Structures (7) Normalized Key (7) O(XN) (7) Radix Sort (7) Recursion (7) Sampling (7) Suffix Array (7) Tech-Queries (7) Tree - Serialization (7) Tree DP (7) Trie - Bit (7) 蓝桥杯 (7) Algorithm - Brain Teaser (6) BFS - Priority Queue (6) BFS - Unusual (6) Classic Data Structure Impl (6) DP - 2D (6) DP - Monotone Queue (6) DP - Unusual (6) DP-Space Optimization (6) Dutch Flag (6) How To (6) Interviewstreet (6) Knapsack - MultiplePack (6) Local MinMax (6) MST (6) Minimum Spanning Tree (6) Number - Reach (6) Parentheses (6) Pre-Sum (6) Probability (6) Programming Pearls (6) Rabin-Karp (6) Reverse (6) Scan from right (6) Schedule (6) Stream (6) Subset Sum (6) TSP (6) Xpost (6) n00tc0d3r (6) reddit (6) AI (5) Abbreviation (5) Anagram (5) Art Of Programming-July (5) Assumption (5) Bellman Ford (5) Big Data (5) Code - Solid (5) Code Kata (5) Codility-lessons (5) Coding (5) Company - WMware (5) Convex Hull (5) Crazyforcode (5) DFS - Multiple (5) DFS+DP (5) DP - Multi-Dimension (5) DP-Multiple Relation (5) Eulerian Cycle (5) Graph - Unusual (5) Graph Cycle (5) Hash Strategy (5) Immutability (5) Java (5) LogN (5) Manhattan Distance (5) Matrix Chain Multiplication (5) N Queens (5) Pre-Sort: Index (5) Quick Partition (5) Quora (5) Randomized Algorithms (5) Resources (5) Robot (5) SPFA(Shortest Path Faster Algorithm) (5) Shuffle (5) Sieve of Eratosthenes (5) Strongly Connected Components (5) Subarray Sum (5) Sudoku (5) Suffix Tree (5) Swap (5) Threaded (5) Tree - Creation (5) Warshall Floyd (5) Word Search (5) jiuzhang (5)

Popular Posts