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{
    "workbench.colorTheme": "Default Light+",
    "workbench.colorCustomizations": {
        "editor.background": "#f1f1f1",
    },
    "editor.tokenColorCustomizations": {
        "variables": "#000000",
        "keywords": "#0086a4",
        "comments": "#c1c1c1",
        "functions": "#980000",

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package main
 
import (
    "bufio"
    . "fmt"
    "os"
    "math"
)

var (

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FROM python

RUN mkdir src
WORKDIR /src/
COPY test.py .

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f = open("foo/config.json", "r")
print(f.read())

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apiVersion: v1
kind: Pod
metadata:
  name: mypod
spec:
  containers:
  - name: mypod
    image: test/map:1.0
    command: ["python", "/src/test.py"]
    imagePullPolicy: Never

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int n;
int m;
int dx[4] = {-1, 0, 1, 0};
int dy[4] = {0, 1, 0, -1};

int Solution::black(vector<string> &A) {
    n = A.size();
    if (n == 0) return 0;
    m = A[0].length();
    vector < vector < bool > > visited(n, vector < bool > (m, false));

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/*
Sample Input
10
5 4 8 1 6 10 3 7 2 9

Sample Output
PreOrder Recursive : 
5 4 1 3 2 8 6 7 10 9 
PreOrder iterative : 
5 4 1 3 2 8 6 7 10 9 

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/*
Below code is function which returns number of strongly connected components.

https://www.youtube.com/watch?v=TyWtx7q2D7Y
https://www.tutorialspoint.com/Tarjan-s-Algorithm-for-Strongly-Connected-Components
*/

int id;
int ans;

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/*
Problems:
https://practice.geeksforgeeks.org/problems/left-view-of-binary-tree/1
*/

/*
SAMPLE INPUT
1
8
5 4 7 1 2 8 9 10

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"""
Bhavik Dhandhalya
BITS Pilani, ME Computer Science batch 2020
"""
from fractions import gcd
from random import randint
import time

def f(x, c, n):
    return (x ** 2 + c) % n