Angel Ortega (he/they) joyoyoyoyoyo

If you run App.java with the "all" argument you should get no errors. "all-with-serialization" also works because the pointer-to-native-memory that gets serialized is still valid as long as the JVM doesn't terminate.

If you run App.java once with "initiate" and then subsequently with "complete" you will receive the following exception only if libnss is in use:

Exception in thread "main" com.esotericsoftware.kryo.KryoException: Error during Java deserialization.
Serialization trace:
sessionRef (sun.security.pkcs11.Session)
session (sun.security.pkcs11.SessionKeyRef)
sessionKeyRef (sun.security.pkcs11.P11Key$P11SecretKey)

	package sbt
	package internal
	package fix

	import scalafix.v1._
	import scala.meta._

	class Sbt0_13BuildSyntax extends SyntacticRule("Sbt0_13BuildSyntax") {
	override def fix(implicit doc: SyntacticDocument): Patch = {
	doc.tree.collect {

	# Setup HomeBrew: https://brew.sh/
	brew install openblas
	pip download --no-binary :all: --no-deps numpy
	unzip numpy-1.18.2.zip # (you may have newer version)
	cd numpy-1.18.2

	cat > site.cfg <<EOF
	[openblas]
	libraries = openblas
	library_dirs = $(brew --prefix openblas)/lib

	#!/bin/sh
	# From https://www.hiroom2.com/2017/09/24/parrotsec-3-8-docker-engine-en/

	# Changelog:
	# @DavoedM: Apr 3, 2020
	# @C922A10971734: Jan 19, 2023

	set -e

	# Install dependencies.

	import java.io.*;

	public class A implements Serializable {
	private static final long serialVersionUID = 100L;

	private int value;

	public A(int n) {
	this.value = n;
	}

	#!/usr/bin/env bash

	# test access without cost
	aws emr create-cluster \
	--name "1-node dummy cluster" \
	--ec2-attributes KeyName=???,SubnetId=subnet-??? \
	--instance-type m4.large \
	--release-label emr-5.23.0 \
	--instance-count 1 \
	--use-default-roles \

	AWSTemplateFormatVersion: '2010-09-09'
	Description: Cloud Formation example for Glue Spark Job with metrics and scheduler

	Parameters:
	ArtifactBucket:
	Description: A global deployable artefact bucket
	Type: String
	Default: artefacts
	ServiceName:
	Description: Service Name that owns the stack when created

	FROM openjdk:8-alpine
	RUN apk --update add wget tar bash python
	RUN wget http://apache.mirror.anlx.net/spark/spark-2.4.2/spark-2.4.2-bin-hadoop2.7.tgz
	RUN tar -xzf spark-2.4.2-bin-hadoop2.7.tgz && mv spark-2.4.2-bin-hadoop2.7 spark && rm spark-2.4.2-bin-hadoop2.7.tgz
	RUN printf "#!/bin/sh\n/spark/bin/spark-class org.apache.spark.deploy.master.Master --host \$SPARK_MASTER_HOST --port \$SPARK_MASTER_PORT --webui-port \$SPARK_MASTER_WEBUI_PORT" > /start-master.sh
	RUN chmod +x /start-master.sh
	RUN printf "#!/bin/sh\n/spark/bin/spark-class org.apache.spark.deploy.worker.Worker --webui-port \$SPARK_WORKER_WEBUI_PORT \$SPARK_MASTER_URL" > /start-worker.sh
	RUN chmod +x /start-worker.sh
	COPY cloudera-10k.txt /cloudera-10k.txt
	COPY employee.txt /spark/examples/src/main/scala/org/apache/spark/examples/sql/employee.txt

	package hadoopsters.spark.scala.monitoring.listeners

	import org.apache.spark.streaming.kafka010.OffsetRange
	import org.apache.spark.streaming.scheduler._
	import org.joda.time.DateTime

	/**
	* :: ExampleStreamingListener ::
	* A simple StreamingListener that accesses summary statistics across Spark Streaming batches; inherits from DeveloperAPI.
	*

	package tv.spotx.scala.dbutils

	import java.sql.{Connection, DriverManager}
	import java.util.Properties

	import org.apache.commons.pool2.impl.{DefaultPooledObject, GenericObjectPool}
	import org.apache.commons.pool2.{BasePooledObjectFactory, PooledObject}
	import org.apache.logging.log4j.scala.Logging