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from pyspark.sql import SparkSession

# The important thing that seems to be often omitted in the docs is the
# spark.jars.packages option.
# Be sure to change the value to reflect your particular version of the spark-mongo connector you are using

spark = SparkSession \
    .builder \
    .appName("pysparktestapp") \
    .config("spark.mongodb.input.uri", "mongodb://127.0.0.1/<database>.<collection>") \

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namespace DisconnectAsyncTaskExtension
{
    static class DisconnectAsyncTaskExtension
    {
        public static Task<SocketAsyncEventArgs> DisconnectAsyncTask(this Socket that, SocketAsyncEventArgs disconnectArgs)
        {
            TaskCompletionSource<SocketAsyncEventArgs> tcs = new TaskCompletionSource<SocketAsyncEventArgs>();
            
            disconnectArgs.Completed += (object sender, SocketAsyncEventArgs completedArgs) => {
                try

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import { readFileSync } from 'fs';

const expenses = readFileSync('input.txt').toString('utf8').split('\n').map(n => parseInt(n));

const threeNumberSumIndices = (numbers: number[], targetSum: number) : [number, number, number] | null=> {
    let first, second, third;
    for (let i = 0; i < numbers.length; i++) {
        first = numbers[i];
        for (let j = i + 1; j < numbers.length; j++) {
            second = numbers[j];

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import { readFileSync } from 'fs';

type PasswordPolicy = {
    [key: string]: any
}
type OcurrencePasswordPolicy = {
    [key: string]: { min: number, max: number }
}
type PositionPasswordPolicy = {
    [key: string]: number[]

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import { readFileSync } from 'fs';

const map = readFileSync('input.txt').toString('utf8').split('\n');
const patternWidth = map[0].length;

const countTreesInSlope = (right: number, down: number) => {
    let totalTrees = 0;
    let y= 0;
    for (let x = 0; x < map.length; x = x + down) {
        const line = map[x];

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import { readFileSync } from 'fs';
import * as jf from 'joiful';

class Passport {
    @jf.string().required()
    public byr = '';
    @jf.string().required()
    public iyr = '';
    @jf.string().required()
    public eyr = '';

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import { readFileSync } from 'fs';

const findRowNumber = (address: string, lowerBoundary: number, upperBoundary: number): number => {
    if (!address.length) {
        return lowerBoundary;
    }

    const remainingAddress = address.slice(1);
    const distance = ((upperBoundary - lowerBoundary) / 2);
    if (address[0] === 'F' || address[0] === 'L') {