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import boto3

bucket = '<bucket name>'
s3_client = boto3.client('s3')
object_response_paginator = s3_client.get_paginator('list_object_versions')

delete_marker_list = []
version_list = []

for object_response_itr in object_response_paginator.paginate(Bucket=bucket):

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Use `--compatibility` to convert the docker compose file to v2 api as the resource limitation are not in the v3 API of docker compose:

> docker-compose --compatibility up


```
version: "3.4"

services:
  redis:

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```
import os
import random
import uuid
from datetime import datetime
import string

with open("test.csv", "w") as file:
    for x in range(0,10000):
        file.write(

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#!$JAVA_HOME/bin/java --source 11
public class Factorial {
  public static void main(String[] args) {
    int n = Integer.parseInt(args[0]);
    ...
    System.out.println(n);
  }
}

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FROM python:alpine

ARG CLI_VERSION=1.16.86

RUN apk -uv add --no-cache groff jq less && \
    pip install --no-cache-dir awscli==$CLI_VERSION

WORKDIR /aws

CMD python3 -m http.server 8000

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    private <K, V> List<ProducerRecord<K, V>> drainProducerRecords(final TopologyTestDriver driver,
                                                                          final String topic,
                                                                          final Deserializer<K> keyDeserializer,
                                                                          final Deserializer<V> valueDeserializer) {
        final List<ProducerRecord<K, V>> result = new LinkedList<>();
        for (ProducerRecord<K, V> next = driver.readOutput(topic, keyDeserializer, valueDeserializer);
             next != null;
             next = driver.readOutput(topic, keyDeserializer, valueDeserializer)) {
            result.add(next);
        }

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Checkstyle rules (xml files):

https://github.com/checkstyle/checkstyle/tree/master/src/main/resources

Google Java style guide:

https://checkstyle.sourceforge.io/styleguides/google-java-style-20180523/javaguide.html

Maven plugin:

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## Effective Java, 2nd Edition

by Joshua Bloch

*I, [Michael Parker](http://omgitsmgp.com/), own this book and took these notes to further my own learning. If you enjoy these notes, please [purchase the book](http://www.amazon.com/Effective-Java-Edition-Joshua-Bloch/dp/0321356683)!*

### Chapter 2: Creating and Destroying Objects

#### Item 1: Consider static factories instead of constructors
* An instance-controlled class is one that uses static factories to strictly control what instances exist at any time.

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1. General Background and Overview

• Probabilistic Data Structures for Web Analytics and Data Mining : A great overview of the space of probabilistic data structures and how they are used in approximation algorithm implementation.
• Models and Issues in Data Stream Systems
• Philippe Flajolet’s contribution to streaming algorithms : A presentation by Jérémie Lumbroso that visits some of the hostorical perspectives and how it all began with Flajolet
• Approximate Frequency Counts over Data Streams by Gurmeet Singh Manku & Rajeev Motwani : One of the early papers on the subject.
• [Methods for Finding Frequent Items in Data Streams](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.187.9800&rep

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Project Title

One Paragraph of project description goes here

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.

Prerequisites