516. Ordered Iterator
A ledger keeps entries in a binary search tree, and a clerk wants to read them aloud from the smallest key to the largest, one entry at a time, without first copying the whole tree into a list.
Implement a class OrderedIterator. Its constructor receives the root of the search tree. next() returns the smallest key that has not been returned yet. hasNext() returns true if at least one key is still unreturned and false otherwise. next() is only called when keys remain. Every call should run in amortized O(1) time using O(h) memory, where h is the tree height. The tree may be empty.
Example 1
- Input:
- operations = ["OrderedIterator","next","next","hasNext","next","next","next","next","next","hasNext"]arguments = [[[12,5,18,2,9,15,21]],[],[],[],[],[],[],[],[],[]]
- Output:
- [null,2,5,true,9,12,15,18,21,false]
- Explanation:
The keys come out in increasing order 2, 5, 9, 12, 15, 18, 21; hasNext is true while keys remain and false after 21 has been returned.
Example 2
- Input:
- operations = ["OrderedIterator","hasNext","next","hasNext"]arguments = [[[4]],[],[],[]]
- Output:
- [null,true,4,false]
- Explanation:
A single node yields its key once and then hasNext becomes false.
Constraints
0 ≤ number of nodes ≤ 105
-104 ≤ node key ≤ 104
The tree is a valid binary search tree with distinct keys. At most 2 * 105 calls are made, and next() is called only while hasNext() would be true.
How this problem is judged
- Answers
- Your answer must match exactly. Numbers compare by value, so 2 and 2.0 are equal.
- Input
- Each case is an operation log.
operationsnames the class first and then each method call;argumentsholds the arguments for each, in the same order. Your answer is one list with a result per operation -nullfor the constructor and for methods that return nothing. - Time per case
- Python 1,200 msC++ 300 msJava 600 msJavaScript 600 msTypeScript 600 ms
Expected complexity
- Time
- O(1) amortized per call
- Space
- O(h)