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UTD Server Kafka & ELK Stack

This tutorial outlines how to set up Zookeeper, Kafka, Elasticsearch, Kibana, and Logstash on the UTD server.

Table of Contents:

1. Setup
2. Install Zookeper
3. Install Kafka (depends on Zookeeper)
4. Install PCRE

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package net.mooctest;

import org.junit.Test;

import static org.junit.Assert.*;

import java.util.ArrayList;
import java.util.List;

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import math

dot_product = lambda X, Y: sum(map(lambda x, y: x * y, X, Y))

def sigma(t):
    return 1 / (1 + math.exp(-t))
    
def sigma_prime(t):
    sigma_value = sigma(t)
    return sigma_value * (1 - sigma_value)

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(ns clojure-rock-paper-scissors.clojure_rock_paper_scissor
  (:require [clojure-rock-paper-scissors.utils :refer :all]))

(def results #{:player-1-win :player-2-win :tie})
(def types #{:rock :paper :scissor})
(def game-modes #{:one-player :two-player})
(def guess-map {"r" :rock, "p" :paper, "s" :scissor})

(defn get-type [raw-type]
  (get guess-map raw-type))

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.eqv	WIDTH	64
.eqv	HEIGHT	64

.eqv	RED	0x00FF0000
.eqv	GREEN	0x0000FF00
.eqv	BLUE	0x000000FF
.eqv	WHITE	0x00FFFFFF
.eqv	YELLOW	0x00FFFF00
.eqv	CYAN	0x0000FFFF
.eqv	MAGENTA	0x00FF00FF

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.data
	buffer:				.space	80
	numbers:			.space	80
	inputFileName:			.asciiz	"input.txt"
	messageBefore:			.asciiz	"The array before: "
	messageAfter:			.asciiz	"\nThe array after: "
	meanMessage:			.asciiz	"\nThe mean is: "
	medianMessage:			.asciiz	"\nThe median is: "
	standardOfDeviationMessage:	.asciiz	"\nThe standard of deviation is: "
	delimeter:			.asciiz	" "

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.data
	prompt:			.asciiz	"Input some text dude"
	charactersMessage:	.asciiz	"Characters: "
	wordsMessage:		.asciiz	"Words: "
	input:			.space	100
	newLine:		.asciiz	"\n"

.text
	# prompts for the text to analyze
	li	$v0,	54

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import 'dart:convert';

import 'package:http/http.dart' as http;

void main() {
  stuff();
}

void stuff() {
  var thing = fetchOmg();

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import java.io.*;
import java.util.InputMismatchException;
import java.util.StringTokenizer;

public final class FastReader {

    private BufferedReader bufferedReader;
    private StringTokenizer stringTokenizer;

    public FastReader() {

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username: "Test"
password: "123456"