Kth Largest Element in a Stream

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Kth Largest Element in a Stream — KPMG interview prep · Heap / Priority Queue

Classic interview problem #703.

Input (stdin)

Line 1: nums\nLine 2: k

Output (stdout)

Heap pattern (Kth Largest Element in a Stream)

Your program must read from stdin and write the answer to stdout (no extra debug text).

Examples

Sample

Input

3 2 1 5 6 4
2

Output

Static hints

Input format: Line 1: nums\nLine 2: k
DSA Interview 150 — Heap / Priority Queue
Problem #703
Frequently asked at KPMG
Heap / Priority Queue

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Your solution

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using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;

class Program
{
    static int[] Ria(string line = null)
    {
        line ??= Console.ReadLine();
        if (string.IsNullOrWhiteSpace(line)) return Array.Empty<int>();
        return line.Trim().Split(new[] { ' ', ',', '\t' }, StringSplitOptions.RemoveEmptyEntries)
            .Select(int.Parse).ToArray();
    }
    static string[] Rsa()
    {
        int n = int.Parse(Console.ReadLine());
        var arr = new string[n];
        for (int i = 0; i < n; i++) arr[i] = Console.ReadLine();
        return arr;
    }
    static void W(params object[] parts) => Console.WriteLine(string.Join(" ", parts));
    static void Wb(bool v) => Console.WriteLine(v ? "true" : "false");
    static void Wi(int v) => Console.WriteLine(v);
    static void Ws(string v) => Console.WriteLine(v);

static void Main()
    {
        // Read from stdin (see problem statement for format)
        // Line 1: nums\nLine 2: k

}
}

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Official solution

using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;

class Program
{
    static int[] Ria(string line = null)
    {
        line ??= Console.ReadLine();
        if (string.IsNullOrWhiteSpace(line)) return Array.Empty<int>();
        return line.Trim().Split(new[] { ' ', ',', '\t' }, StringSplitOptions.RemoveEmptyEntries)
            .Select(int.Parse).ToArray();
    }
    static string[] Rsa()
    {
        int n = int.Parse(Console.ReadLine());
        var arr = new string[n];
        for (int i = 0; i < n; i++) arr[i] = Console.ReadLine();
        return arr;
    }
    static void W(params object[] parts) => Console.WriteLine(string.Join(" ", parts));
    static void Wb(bool v) => Console.WriteLine(v ? "true" : "false");
    static void Wi(int v) => Console.WriteLine(v);
    static void Ws(string v) => Console.WriteLine(v);

    static void Main()
    {
var nums = Ria();
int k = int.Parse(Console.ReadLine());
Wi(nums.OrderByDescending(x => x).Skip(k - 1).First());
    }
}

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Explanation

Step 1 / 1

KPMG interview context: Kth Largest Element in a Stream is a Easy Heap / Priority Queue problem — Top-K and merge-K patterns use a min/max heap of size K.

Use the animation above to step through each move before writing code.

Pattern: Heap / Priority Queue

Read from stdin, write to stdout. Classic interview problem #703.

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