Count Special Strings
Imagine you're working with Amazon's data analysis team, specifically focusing on analyzing customer behavior through clickstream data. This data consists of sequences of user actions on the website, represented as binary strings. A '1' could represent a significant action (like adding an item to the cart of making a purchase), and a 'O' could represent a less significant action (like browsing or viewing a product).
You are given a binary string s that represents a user's interaction history. A behavior pattern (substring) is considered "special" if the number of insignificant actions ('O's) equals the square of the number of significant actions ('1's) within that pattern.
The challenge is to identify and count all "special" behavior patterns in the user's interaction history. These patterns might indicate critical points in the user's journey where their browsing behavior was well-balanced with key actions, which could be important for understanding user engagement or predicting future purchases.
Complete the function countSpecialSubstrings in the editor.
countSpecialSubstrings has the following parameter:
String s: a binary string representing user interaction history
Returns
int: the count of special behavior patterns
1Example 1
2Example 2
Constraints
Limits and guarantees your solution can rely on.