yusufsyaifudin

Each of these commands will run an ad hoc http static server in your current (or specified) directory, available at http://localhost:8000. Use this power wisely.

Discussion on reddit.

Python 2.x

$ python -m SimpleHTTPServer 8000

yusufsyaifudin

# Inspiration: https://b.agilob.net/test-coverage-in-gitlab-ci-in-a-golang-project
# Navigate to: "Settings" -> "CI/CD" -> "Expand" next to "General pipeline settings"
# 1. Add ^coverage:\s(\d+(?:\.\d+)?%) tas your regex in "Test coverage parsing"
# 2. Go to "Pipeline status" to get the badges code

# This file is a template, and might need editing before it works on your project.
image: golang:1.13.4-alpine

services:
  - docker:stable-dind # only docker daemon, so we need to install docker cli and docker compose in separate script

yusufsyaifudin

parameter from request = page and limit

so,
offset = (page - 1) * limit

but you need to check if page <= 0 then page = 1

if limit <= 0 then set it to default minimum limit

yusufsyaifudin

# WARNING: This docker-compose.yml is only for testing purpose.
# Parameters:
# - name: CONFLUENT_PLATFORM_VERSION
#   default: 3.0.0
#   reference: https://hub.docker.com/u/confluentinc/
# Ports:
# - description: Major ports are exposed to host computer
# - zookeeper: 2181
#      kafka1: 9091
#      kafka2: 9092

yusufsyaifudin

#!/bin/bash

# based on https://lebkowski.name/docker-volumes/
# remove exited containers:
docker ps --filter status=dead --filter status=exited -aq | xargs -r docker rm -v

docker volume ls -qf dangling=true | xargs -r docker volume rm
    
# remove unused images:
docker images --no-trunc | grep '<none>' | awk '{ print $3 }' | xargs -r docker rmi

yusufsyaifudin

package main

import (
	"context"
	"fmt"
	"os"
	"os/signal"
	"strings"
	"syscall"
	"time"

yusufsyaifudin

package kafka

import (
	"time"

	"github.com/segmentio/kafka-go"
	"github.com/segmentio/kafka-go/snappy"
)

var writer *kafka.Writer

yusufsyaifudin

# create topic: /opt/kafka/bin/kafka-topics.sh --create --zookeeper zoo1:2181,zoo2:2181 --topic qmessage --partitions 4 --replication-factor 2
# use official zookeeper image since the wurstmeister/zookeeper image does not currently support zookeeper in replicated mode
# (https://github.com/wurstmeister/kafka-docker/issues/372#issuecomment-409166940)
# for the first run, set the KAFKA_CREATE_TOPICS: 'qmessage:4:2' to create new topic or use the command above.
# For every restart, don't set it, since it will recreate the topic, hence your old data will lost and will make your consumer missing some data. 
version: '2'
services:
  zoo1:
    image: zookeeper:3.4.13
    container_name: zoo1

yusufsyaifudin

package test.tokenizer.tokenizerId;

import java.util.ArrayList;

import yusufs.nlp.tokenizerid.Tokenizer;;

/**
 * Hello world!
 *
 */

yusufsyaifudin

String s = "hksaksaggah";//sample string
String temp2="";//string with no duplicates
HashMap<Integer, Character> tc = new HashMap<>();//create a hashmap to store the char's
char [] charArray = s.toCharArray();
for (Character c : charArray)//for each char
{
  if (!tc.containsValue(c))//if the char is not already in the hashmap
  {
    temp2=temp2+c.toString();//add the char to the output string
    tc.put(c.hashCode(),c);//and add the char to the hashmap