Problem Statement: Given n machine learning models, each with an associated cost and feature compatibility. The cost of the ith} model is specified by the array element cost[i]. Additionally, each model is characterized by a binary string, featureAvailability[i], indicating its suitability for two distinct features:
A set of models is considered k-capable if the number of models in that set suitable for feature A and the number of models suitable for feature B are both greater than or equal to k.
For each value of k, ranging from 1 to n, the goal is to determine the minimum cost required to assemble a set of k-capable machine learning models. The task is to return an array of n integers, where the ith integer denotes the minimum cost of acquiring a set of i-capable models. If there exists no feasible combination of i-capable models, the corresponding ith integer will be -1.
Example:
Problem Statement: A number of bids are received for a project. Determine the number of distinct pairs of project costs where their absolute difference is some target value. Two pairs are distinct if they differ in at least one value.
Example:
There are 2 pairs [1, 3], [3, 5] with the target difference target = 2. Therefore, 2 is returned.
Function Description: Complete the function countPairs with the following parameters:
Return: