Greetings, aspiring coders! Today we're going to delve into the complexities of data structures, specifically handling queries efficiently using C#. This is a common challenge encountered in numerous data science and algorithmic problems. Let's explore how to efficiently manage sorted sets using C#'s powerful built-in data structures and engage in some interactive problem-solving!

In C#, you can directly employ the SortedSet class to achieve sorted set functionality without manually managing the sorting order. This class automatically maintains order for insertions and deletions.

To maintain a sorted set in C#:

• Adding an element to a SortedSet automatically inserts it in the correct position, ensuring O(log N) time complexity for insertion.
• Removing an element from a SortedSet also maintains O(log N) complexity.
• Finding the smallest element greater than or equal to a given value is efficiently performed by using the .GetViewBetween() method or other C# methods for accessing specific elements.

Understanding these operations allows us to leverage SortedSet efficiently for our problem.

We are tasked with designing a C# function named ProcessQueries that can process a series of distinct requests or queries efficiently. The queries comprise a list of two integers — the type of operation and the operand.

There are three types of operations we'll handle:

• Adding an integer to the set (operation type 0)
• Removing an integer from the set (operation type 1). Whenever this operation is invoked, we can guarantee that the integer exists in the set.
• Finding the smallest integer that is greater than or equal to a given value (operation type 2).

The function should return the current size of the set when the operation type is 0 or 1, and the smallest possible integer when the operation type is 2. If such an integer does not exist, the function should return -1.

Let's go through a set of queries in detail using C#.

using System;
using System.Collections.Generic;

public class QueryProcessor
{
    public static List<int> ProcessQueries(List<int[]> queries)
    {
        SortedSet<int> sortedSet = new SortedSet<int>();
        List<int> results = new List<int>();

        foreach (var query in queries)
        {
            int operation = query[0];
            int value = query[1];

            if (operation == 0)
            {
                sortedSet.Add(value);
                results.Add(sortedSet.Count);
            }
            else if (operation == 1)
            {
                sortedSet.Remove(value);
                results.Add(sortedSet.Count);
            }
            else if (operation == 2)
            {
                var view = sortedSet.GetViewBetween(value, Int32.MaxValue);
                if (view.Count > 0)
                {
                    results.Add(view.Min);
                }
                else
                {
                    results.Add(-1);
                }
            }
        }

        return results;
    }

    public static void Main()
    {
        List<int[]> queries = new List<int[]>
        {
            new int[] { 0, 10 },  // Add 10 to the set
            new int[] { 2, 10 },  // Find the smallest integer >= 10
            new int[] { 0, 20 },  // Add 20 to the set
            new int[] { 1, 10 },  // Remove 10 from the set
            new int[] { 2, 10 }   // Find the smallest integer >= 10
        };

        List<int> results = ProcessQueries(queries);
        Console.WriteLine(String.Join(", ", results)); // Output: 1, 10, 2, 1, 20
    }
}