Online Stock Span
Write a class StockSpanner
which collects daily price quotes for some stock, and returns the span of that stock's price for the current day.
The span of the stock's price today is defined as the maximum number of consecutive days (starting from today and going backwards) for which the price of the stock was less than or equal to today's price.
For example, if the price of a stock over the next 7 days were [100, 80, 60, 70, 60, 75, 85]
, then the stock spans would be [1, 1, 1, 2, 1, 4, 6]
.
Example 1:
Input: ["StockSpanner","next","next","next","next","next","next","next"],
[[],[100],[80],[60],[70],[60],[75],[85]] Output: [null,1,1,1,2,1,4,6] Explanation: First, S = StockSpanner() is initialized. Then: S.next(100) is called and returns 1, S.next(80) is called and returns 1, S.next(60) is called and returns 1, S.next(70) is called and returns 2, S.next(60) is called and returns 1, S.next(75) is called and returns 4, S.next(85) is called and returns 6. Note that (for example) S.next(75) returned 4, because the last 4 prices (including today's price of 75) were less than or equal to today's price.
Note:
- Calls to
StockSpanner.next(int price)
will have1 <= price <= 10^5
. - There will be at most
10000
calls toStockSpanner.next
per test case. - There will be at most
150000
calls toStockSpanner.next
across all test cases. - The total time limit for this problem has been reduced by 75% for C++, and 50% for all other languages.
class StockSpanner {
Stack<Integer> prices, weights;
public StockSpanner() {
prices = new Stack();
weights = new Stack();
}
public int next(int price) {
int w = 1;
while (!prices.isEmpty() && prices.peek() <= price) {
prices.pop();
w += weights.pop();
}
prices.push(price);
weights.push(w);
return w;
}
}
/**
* Your StockSpanner object will be instantiated and called as such:
* StockSpanner obj = new StockSpanner();
* int param_1 = obj.next(price);
*/
Here, we are going to solve using Stack. One stack is used for weights and other stack is used for price.
1) Whenever price is called, by default w is 1. Until while condition true(stack is not empty and previous price less than or equal to current price), pop price and also add previous weights to w.
2) Push price and w to appropriate stack.
3) Finally return w.
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