Desmond  Gerber

Desmond Gerber


How to Test Driven Development for Java using JUnit

How to Test Driven Development for Java using JUnit


Before we get started, let us understand some basics. Software testing plays an important role in the life cycle of software development. It is imperative to identify bugs and errors during software development and increase the quality of the product. Additionally we need software testing to ensure that the software fulfils the client specifications, responds correctly to inputs (input validation), runs in a reasonable time (performance testing), is easy to install and run (deployment testing), and meets the stakeholders' goals.

Therefore, one must focus on software testing. There are many approaches and TDD approach is one of them. It is a key practice for extreme programming, it suggests that the code is developed or changed exclusively based on the Unit Testing.

What is Test Driven Development?

TDD is a software development process which includes test-first development. It means that the developer first writes a fully automated test case before writing the production code to fulfil that test and refactoring. Steps for the same are given below -

  1. Firstly, add a test.
  2. Run all the tests and see if any new test fails.
  3. Update the code to make it pass the new tests.
  4. Run the test again and if they fail then refactor again and repeat.

What is Behaviour Driven Development (BDD)?

It is similar to Test Driven Development. In other words, BDD is the extended version of TDD. The process is similar to it. In this also, the code is first written in Behaviour Driven Development and the production code. But, the main difference is that in Behaviour Driven Development the test is written in plain descriptive English type grammar as opposed to TDD. This type of development -

  • Explained the behaviour of the software/program.
  • User friendly

The major benefit of it is that it can easily be understood by a non-technical person also.

What is a Legacy Code?

In simple words, a code without testing is known as legacy code. A big disadvantage of legacy code is that it’s not easily understandable (for both developments as well as the business team) and that is the only reason why it is difficult to change the code for new features. Therefore, a code without tests is bad code. It is necessary to write code with tests for best productivity and easy modifications.

What are the advantages?

  1. It gives a way to think through our requirements or design before we write our functional code.
  2. Enables us to take small steps during building software.
  3. Makes us more productive in nature rather as compared attempting to code in large steps.

Let's take an example, assume that you write some code and then compile it and then test it and maybe there are chances of failure. In this case, it becomes easy to find and fix those defects if you've written two new lines of code than a thousand. Basically, a TDD is -

  • The most efficient and attractive way to proceed in smaller and smaller steps.
  • Following TDD means -
    • Fewer bugs
    • Higher quality software
    • Focus on single functionality at a given point in time

Why is Test Driven Development Important?

  • Requirements - Drive out requirement issues early (more focus on requirements in depth).
  • Rapid Feedback - Many small changes Vs One big change.
  • Values Refactoring - Refactor often to lower impact and risk.
  • Design to Test - Testing driving good design practice.
  • Tests as information - Documenting decisions and assumptions.

Why We Use Test Driven Development

Test Driven Development with Java

In the Java community, it plays an important role in designing and implementation of a software/program. Test-Driven Development helps the programmer in several ways, such as -

  • Improving the code
  • Side by side, increasing the programmer’s productivity.

Using Test-Driven Development concept in our programming skills -

  • Will save our time which is getting wasted for rework.
  • Able to identify the error/problem quicker and faster.
  • The programmer will be able to write small classes which will be focused only on a single functionality instead of writing the big classes.

The major problem with programmers is that, while programming whenever the code base gets bigger it becomes very difficult to change and debug the code because there is a high chance of the code getting messed up. But, if we are using Test Driven Development technique -

  • Means we have automated tests
  • We are writing the test cases for our program which is a safe side for the programmers.

It becomes easy to view what the error is, where it is and how it is paralyzing our code.

API Testing in TDD

API Testing is one of the types of testing techniques. This type of technique is used in the following cases -

  • Testing APIs (Application Programming Interfaces)
  • To determine if the API created meets the expectations.
  • End-to-end functionality (how an API technically works).
  • Response time.
  • Load Testing
  • Only API functions are tested.

During API testing if the API returns a valid/correct response, then that API will say to have passed. The outputs of an API testing are of three types -

  1. The output can contain status.
  2. The output can contain any type of data or information.
  3. Or an API can be calling another API.

API Testing can be done by -

  • Unit testing (testing the API methods and checking if the output meets the expectations).
  • Using many tools for checking the performance and load i.e how many requests can be handled by the API at the same time and many more. We can use Apache JMeter for performance and load testing.

What are the best Test-Driven Development Tools for java?

As discussed above, there are many tools available for testing and improving the overall design and implementation of the software system. Some of the most common testing tools are listed below -

JUnit for Unit Tests 

JUnit For Unit Testing

JUnit is a unit testing framework designed for Java programming language. Since unit tests are the smallest elements in the test automation process. With the help of unit tests, we can check the business logic of any class. So JUnit plays an important role in the development of a test driven development framework. It is one of the families of unit testing frameworks which is collectively known as the xUnit that originated with SUnit.

JMeter for Load/Performance Testing

JMeter For Load and Performance Testing

Apache JMeter may be used to test performance both on static and dynamic resources, Web dynamic applications (Mainly for Load/Performance testing). Basically, it is used to simulate a heavy load on a server, group of servers, network or object to test its strength or to analyze overall performance under different load types.

Features of Apache JMeter -

Ability to load and performs tests on many different applications/server/protocol types, some of them are listed below -

  1. Web - HTTP, HTTPS (Java, NodeJS, PHP, ASP.NET, …)
  2. SOAP/REST Webservices
  3. FTP
  4. Database via JDBC
  5. LDAP
  6. Message-oriented middleware (MOM) via JMS
  7. Mail - SMTP(S), POP3(S) and IMAP(S)
  8. Native commands or shell scripts
  9. TCP
  10. Java Objects

Mockito for Rest API Testing

Mockito For REST API Testing

Mockito is designed as an open-source testing framework for Java which is available under an MIT License. It allows programmers to create and test double objects (mock objects) in automated unit tests for the purpose of TDD. In simple words, we can say that Mockito is a framework that we specifically use to efficiently write certain kind of tests.

How to set up environment for Test Driven Development in Java?

The steps to set up environment for TDD in Java are listed below:

Setting up it with JUnit

  • Install Java first.
  • Then we need Eclipse or any other IDE(Integrated Development Environment).
  • Create a new project (Maven project) and place the JUnit maven dependency in pom.xml file.

OR If it’s not a Maven project then download the JUnit jar and include it in your project.

Setting up it with JMeter

  • Install Java.
  • Install Apache JMeter
    • For Ubuntu - $ Sudo apt-get install JMeter
    • For CentOS7 - Sudo yum install JMeter

Setting Up TDD with Mockito

  • Install Java.
  • Then we need Eclipse or any other IDE(Integrated Development Environment).
  • Create a new project and download the mockito jar and include it in the project and if it is a maven project then add mockito dependency in pom.xml file for that particular project.

How to implementing Java Test Driven Development?

The steps to implement Java TDD are described below:

Naming the test class

We use common conventions in naming the test class. Let’s start with the name of the class which is being tested and assume the name of that class is “Student”. In that case, the name of the test class should be “StudentTest”. We have to append “Test” to it. The same naming convention is used in the case of methods. If there is a method “DisplayStudentAddress()”, then the name of the method in testing should be “testDisplayStudentAddress()”.

Naming in Production

Naming in Testing





Packages for production code

We don’t use the same package for production code and testing code. The best practice is to use different source directories, “src/main/java” for production and “src/test/java” for testing. 3. Structure and Annotation - @Test annotation (JUnit4/5) tells JUnit to execute the testDisplayStudentAddress() method as a test method and report whether it passes or fails. As long as all assertions (if any) pass and no exceptions are thrown, the test is considered to pass. So our test code should follow AAA (Arrange Act Assert) pattern.

    • Create student object that will be tested (arrange) - Student student = new Student("Joe", "Brian");
    • Exercise the production code’s Student.getdisplayStudentName() method(act) - String displayName = student.getdisplayStudentName();
    • Verify if the result is as expected (assert) - assertEquals("Joe, Brian", displayName); If the result did not match, the test would be marked as failed.

Unit Testing With JUnit

  • Production Code

public class Student { public String displayStudentName(String firstName, String lastName) {  return firstName + lastName; } }

  • Testing Code

Import org.junit.Test;
Import static org.junit.Assert.*;
Public class StudentTest {
 Public void testDisplayStudentName() {
  Student student = new Student();
  String studentName = student.displayStudentName(“Anshuman”, ”Nain”);
  assertEquals(“AnshumanNain”, studentName);

Now build the project and runUnit Testing With JUnit

Unit Testing With JMeter

Let’s test a login API (POST Method) using JMeter for performance testing. Below are the Steps for scripting the rest API -

  • First of all, we need to add an HTTP Request Sampler inside a thread group (Test Plan -> Thread Group -> Sampler->HTTP Request)

Unit Testing With JMeter - we need to add an HTTP Request Sampler inside a thread group

  • Next, we need to enter the Server Name or IP of the API and its port (if required) in the web server section.

Unit Testing With JMeter - enter the Server Name or IP of the API and its port (if required) in the web server section.

  • The user also needs to add HTTP Header Manager as a child to the HTTP Request sampler (for the current example this is not required) with the content-type header.

Unit Testing With JMeter - add HTTP Header Manager as a child to the HTTP Request sampler

  • At last, we add different listeners like 'Summary Report' to conclude.

Summary Report - Unit Testing With JMeter

Then finally run the test.Unit Testing With JMeter - run the testIn the above example, we hit 1000 requests per sec, out of which 992 were successful.

Unit Testing With Mockito

Basic Simple Demo code for using mockito with JUnit -

  • Production Code

public class TestService {
 public int getUniqueId() {
  return 43;
  • Testing Code

public class JUnitServiceTestExample {

 public void testGetInt() {
  // create mock
  TestService test = Mockito.mock(TestService.class);

  // define return value for method getUniqueId()

  // use mock in test....
  assertEquals(test.getUniqueId(), 43);


In the end, it is safe to say that Test Driven Development must be adopted by as many developers as possible, in order increase their productivity and improve not only the code quality but also to increase the productivity and overall development of software/program. TDD also leads to more modularized, flexible and extensible code.

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We follow the Test Driven Development Approach in the development of Enterprise-level Applications following Agile Scrum Methodology.

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Original article source at:

#java #test #developement 

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How to Test Driven Development for Java using JUnit
Joseph  Murray

Joseph Murray


7 Test Frameworks To Follow in 2021 for Java/Fullstack Developers

It is time to learn new test frameworks in 2021 to improve your code quality and decrease the time of your testing phase. Let’s explore 6 options for devs.

It is time to learn new test frameworks to improve your code quality and decrease the time of your testing phase. I have selected six testing frameworks that sound promising. Some have existed for quite a long time but I have not heard about them before.

At the end of the article, please tell me what you think about them and what your favorite ones are.

Robot Framework

Robot Framework is a generic open-source automation framework. It can be used for test automation and robotic process automation (RPA).

Robot Framework is open and extensible and can be integrated with virtually any other tool to create powerful and flexible automation solutions. Being open-source also means that Robot Framework is free to use without licensing costs.

The RoboFramework is a framework** to write test cases and automation processes.** It means that it may replace** your classic combo Selenium + Cucumber + Gherkins**. To be more precise, the Cucumber Gherkins custom implementation you wrote will be handled by RoboFramework and Selenium invoked below.

For the Java developers, this framework can be executed with Maven or Gradle (but less mature for the latter solution).

#java #testing #test #java framework #java frameworks #testing and developing #java testing #robot framework #test framework #2021

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Tyrique  Littel

Tyrique Littel


How to Install OpenJDK 11 on CentOS 8

What is OpenJDK?

OpenJDk or Open Java Development Kit is a free, open-source framework of the Java Platform, Standard Edition (or Java SE). It contains the virtual machine, the Java Class Library, and the Java compiler. The difference between the Oracle OpenJDK and Oracle JDK is that OpenJDK is a source code reference point for the open-source model. Simultaneously, the Oracle JDK is a continuation or advanced model of the OpenJDK, which is not open source and requires a license to use.

In this article, we will be installing OpenJDK on Centos 8.

#tutorials #alternatives #centos #centos 8 #configuration #dnf #frameworks #java #java development kit #java ee #java environment variables #java framework #java jdk #java jre #java platform #java sdk #java se #jdk #jre #open java development kit #open source #openjdk #openjdk 11 #openjdk 8 #openjdk runtime environment

Chloe  Butler

Chloe Butler


Pdf2gerb: Perl Script Converts PDF Files to Gerber format


Perl script converts PDF files to Gerber format

Pdf2Gerb generates Gerber 274X photoplotting and Excellon drill files from PDFs of a PCB. Up to three PDFs are used: the top copper layer, the bottom copper layer (for 2-sided PCBs), and an optional silk screen layer. The PDFs can be created directly from any PDF drawing software, or a PDF print driver can be used to capture the Print output if the drawing software does not directly support output to PDF.

The general workflow is as follows:

  1. Design the PCB using your favorite CAD or drawing software.
  2. Print the top and bottom copper and top silk screen layers to a PDF file.
  3. Run Pdf2Gerb on the PDFs to create Gerber and Excellon files.
  4. Use a Gerber viewer to double-check the output against the original PCB design.
  5. Make adjustments as needed.
  6. Submit the files to a PCB manufacturer.

Please note that Pdf2Gerb does NOT perform DRC (Design Rule Checks), as these will vary according to individual PCB manufacturer conventions and capabilities. Also note that Pdf2Gerb is not perfect, so the output files must always be checked before submitting them. As of version 1.6, Pdf2Gerb supports most PCB elements, such as round and square pads, round holes, traces, SMD pads, ground planes, no-fill areas, and panelization. However, because it interprets the graphical output of a Print function, there are limitations in what it can recognize (or there may be bugs).

See docs/Pdf2Gerb.pdf for install/setup, config, usage, and other info.

#Pdf2Gerb config settings:
#Put this file in same folder/directory as itself (global settings),
#or copy to another folder/directory with PDFs if you want PCB-specific settings.
#There is only one user of this file, so we don't need a custom package or namespace.
#NOTE: all constants defined in here will be added to main namespace.
#package pdf2gerb_cfg;

use strict; #trap undef vars (easier debug)
use warnings; #other useful info (easier debug)

#configurable settings:
#change values here instead of in main file

use constant WANT_COLORS => ($^O !~ m/Win/); #ANSI colors no worky on Windows? this must be set < first DebugPrint() call

#just a little warning; set realistic expectations:
#DebugPrint("${\(CYAN)} ${\(VERSION)}, $^O O/S\n${\(YELLOW)}${\(BOLD)}${\(ITALIC)}This is EXPERIMENTAL software.  \nGerber files MAY CONTAIN ERRORS.  Please CHECK them before fabrication!${\(RESET)}", 0); #if WANT_DEBUG

use constant METRIC => FALSE; #set to TRUE for metric units (only affect final numbers in output files, not internal arithmetic)
use constant APERTURE_LIMIT => 0; #34; #max #apertures to use; generate warnings if too many apertures are used (0 to not check)
use constant DRILL_FMT => '2.4'; #'2.3'; #'2.4' is the default for PCB fab; change to '2.3' for CNC

use constant WANT_DEBUG => 0; #10; #level of debug wanted; higher == more, lower == less, 0 == none
use constant GERBER_DEBUG => 0; #level of debug to include in Gerber file; DON'T USE FOR FABRICATION
use constant WANT_STREAMS => FALSE; #TRUE; #save decompressed streams to files (for debug)
use constant WANT_ALLINPUT => FALSE; #TRUE; #save entire input stream (for debug ONLY)

#DebugPrint(sprintf("${\(CYAN)}DEBUG: stdout %d, gerber %d, want streams? %d, all input? %d, O/S: $^O, Perl: $]${\(RESET)}\n", WANT_DEBUG, GERBER_DEBUG, WANT_STREAMS, WANT_ALLINPUT), 1);
#DebugPrint(sprintf("max int = %d, min int = %d\n", MAXINT, MININT), 1); 

#define standard trace and pad sizes to reduce scaling or PDF rendering errors:
#This avoids weird aperture settings and replaces them with more standardized values.
#(I'm not sure how photoplotters handle strange sizes).
#Fewer choices here gives more accurate mapping in the final Gerber files.
#units are in inches
use constant TOOL_SIZES => #add more as desired
#round or square pads (> 0) and drills (< 0):
    .010, -.001,  #tiny pads for SMD; dummy drill size (too small for practical use, but needed so StandardTool will use this entry)
    .031, -.014,  #used for vias
    .041, -.020,  #smallest non-filled plated hole
    .051, -.025,
    .056, -.029,  #useful for IC pins
    .070, -.033,
    .075, -.040,  #heavier leads
#    .090, -.043,  #NOTE: 600 dpi is not high enough resolution to reliably distinguish between .043" and .046", so choose 1 of the 2 here
    .100, -.046,
    .115, -.052,
    .130, -.061,
    .140, -.067,
    .150, -.079,
    .175, -.088,
    .190, -.093,
    .200, -.100,
    .220, -.110,
    .160, -.125,  #useful for mounting holes
#some additional pad sizes without holes (repeat a previous hole size if you just want the pad size):
    .090, -.040,  #want a .090 pad option, but use dummy hole size
    .065, -.040, #.065 x .065 rect pad
    .035, -.040, #.035 x .065 rect pad
    .001,  #too thin for real traces; use only for board outlines
    .006,  #minimum real trace width; mainly used for text
    .008,  #mainly used for mid-sized text, not traces
    .010,  #minimum recommended trace width for low-current signals
    .015,  #moderate low-voltage current
    .020,  #heavier trace for power, ground (even if a lighter one is adequate)
    .030,  #heavy-current traces; be careful with these ones!
#Areas larger than the values below will be filled with parallel lines:
#This cuts down on the number of aperture sizes used.
#Set to 0 to always use an aperture or drill, regardless of size.
use constant { MAX_APERTURE => max((TOOL_SIZES)) + .004, MAX_DRILL => -min((TOOL_SIZES)) + .004 }; #max aperture and drill sizes (plus a little tolerance)
#DebugPrint(sprintf("using %d standard tool sizes: %s, max aper %.3f, max drill %.3f\n", scalar((TOOL_SIZES)), join(", ", (TOOL_SIZES)), MAX_APERTURE, MAX_DRILL), 1);

#NOTE: Compare the PDF to the original CAD file to check the accuracy of the PDF rendering and parsing!
#for example, the CAD software I used generated the following circles for holes:
#CAD hole size:   parsed PDF diameter:      error:
#  .014                .016                +.002
#  .020                .02267              +.00267
#  .025                .026                +.001
#  .029                .03167              +.00267
#  .033                .036                +.003
#  .040                .04267              +.00267
#This was usually ~ .002" - .003" too big compared to the hole as displayed in the CAD software.
#To compensate for PDF rendering errors (either during CAD Print function or PDF parsing logic), adjust the values below as needed.
#units are pixels; for example, a value of 2.4 at 600 dpi = .0004 inch, 2 at 600 dpi = .0033"
use constant
    HOLE_ADJUST => -0.004 * 600, #-2.6, #holes seemed to be slightly oversized (by .002" - .004"), so shrink them a little
    RNDPAD_ADJUST => -0.003 * 600, #-2, #-2.4, #round pads seemed to be slightly oversized, so shrink them a little
    SQRPAD_ADJUST => +0.001 * 600, #+.5, #square pads are sometimes too small by .00067, so bump them up a little
    RECTPAD_ADJUST => 0, #(pixels) rectangular pads seem to be okay? (not tested much)
    TRACE_ADJUST => 0, #(pixels) traces seemed to be okay?
    REDUCE_TOLERANCE => .001, #(inches) allow this much variation when reducing circles and rects

#Also, my CAD's Print function or the PDF print driver I used was a little off for circles, so define some additional adjustment values here:
#Values are added to X/Y coordinates; units are pixels; for example, a value of 1 at 600 dpi would be ~= .002 inch
use constant
    CIRCLE_ADJUST_MINY => -0.001 * 600, #-1, #circles were a little too high, so nudge them a little lower
    CIRCLE_ADJUST_MAXX => +0.001 * 600, #+1, #circles were a little too far to the left, so nudge them a little to the right
    SUBST_CIRCLE_CLIPRECT => FALSE, #generate circle and substitute for clip rects (to compensate for the way some CAD software draws circles)
    WANT_CLIPRECT => TRUE, #FALSE, #AI doesn't need clip rect at all? should be on normally?
    RECT_COMPLETION => FALSE, #TRUE, #fill in 4th side of rect when 3 sides found

#allow .012 clearance around pads for solder mask:
#This value effectively adjusts pad sizes in the TOOL_SIZES list above (only for solder mask layers).
use constant SOLDER_MARGIN => +.012; #units are inches

#line join/cap styles:
use constant
    CAP_NONE => 0, #butt (none); line is exact length
    CAP_ROUND => 1, #round cap/join; line overhangs by a semi-circle at either end
    CAP_SQUARE => 2, #square cap/join; line overhangs by a half square on either end
    CAP_OVERRIDE => FALSE, #cap style overrides drawing logic
#number of elements in each shape type:
use constant
    RECT_SHAPELEN => 6, #x0, y0, x1, y1, count, "rect" (start, end corners)
    LINE_SHAPELEN => 6, #x0, y0, x1, y1, count, "line" (line seg)
    CURVE_SHAPELEN => 10, #xstart, ystart, x0, y0, x1, y1, xend, yend, count, "curve" (bezier 2 points)
    CIRCLE_SHAPELEN => 5, #x, y, 5, count, "circle" (center + radius)
#const my %SHAPELEN =
#Readonly my %SHAPELEN =>
    rect => RECT_SHAPELEN,
    line => LINE_SHAPELEN,
    curve => CURVE_SHAPELEN,
    circle => CIRCLE_SHAPELEN,

#This will repeat the entire body the number of times indicated along the X or Y axes (files grow accordingly).
#Display elements that overhang PCB boundary can be squashed or left as-is (typically text or other silk screen markings).
#Set "overhangs" TRUE to allow overhangs, FALSE to truncate them.
#xpad and ypad allow margins to be added around outer edge of panelized PCB.
use constant PANELIZE => {'x' => 1, 'y' => 1, 'xpad' => 0, 'ypad' => 0, 'overhangs' => TRUE}; #number of times to repeat in X and Y directions

# Set this to 1 if you need TurboCAD support.
#$turboCAD = FALSE; #is this still needed as an option?

#CIRCAD pad generation uses an appropriate aperture, then moves it (stroke) "a little" - we use this to find pads and distinguish them from PCB holes. 
use constant PAD_STROKE => 0.3; #0.0005 * 600; #units are pixels
#convert very short traces to pads or holes:
use constant TRACE_MINLEN => .001; #units are inches
#use constant ALWAYS_XY => TRUE; #FALSE; #force XY even if X or Y doesn't change; NOTE: needs to be TRUE for all pads to show in FlatCAM and ViewPlot
use constant REMOVE_POLARITY => FALSE; #TRUE; #set to remove subtractive (negative) polarity; NOTE: must be FALSE for ground planes

#PDF uses "points", each point = 1/72 inch
#combined with a PDF scale factor of .12, this gives 600 dpi resolution (1/72 * .12 = 600 dpi)
use constant INCHES_PER_POINT => 1/72; #0.0138888889; #multiply point-size by this to get inches

# The precision used when computing a bezier curve. Higher numbers are more precise but slower (and generate larger files).
#$bezierPrecision = 100;
use constant BEZIER_PRECISION => 36; #100; #use const; reduced for faster rendering (mainly used for silk screen and thermal pads)

# Ground planes and silk screen or larger copper rectangles or circles are filled line-by-line using this resolution.
use constant FILL_WIDTH => .01; #fill at most 0.01 inch at a time

# The max number of characters to read into memory
use constant MAX_BYTES => 10 * M; #bumped up to 10 MB, use const

use constant DUP_DRILL1 => TRUE; #FALSE; #kludge: ViewPlot doesn't load drill files that are too small so duplicate first tool

my $runtime = time(); #Time::HiRes::gettimeofday(); #measure my execution time

print STDERR "Loaded config settings from '${\(__FILE__)}'.\n";
1; #last value must be truthful to indicate successful load


#use Package::Constants;
#use Exporter qw(import); #

#my $caller = "pdf2gerb::";

#sub cfg
#    my $proto = shift;
#    my $class = ref($proto) || $proto;
#    my $settings =
#    {
#        $WANT_DEBUG => 990, #10; #level of debug wanted; higher == more, lower == less, 0 == none
#    };
#    bless($settings, $class);
#    return $settings;

#use constant HELLO => "hi there2"; #"main::HELLO" => "hi there";
#use constant GOODBYE => 14; #"main::GOODBYE" => 12;

#print STDERR "read cfg file\n";

#our @EXPORT_OK = Package::Constants->list(__PACKAGE__); #; NOTE: "_OK" skips short/common names

#print STDERR scalar(@EXPORT_OK) . " consts exported:\n";
#foreach(@EXPORT_OK) { print STDERR "$_\n"; }
#my $val = main::thing("xyz");
#print STDERR "caller gave me $val\n";
#foreach my $arg (@ARGV) { print STDERR "arg $arg\n"; }

Download Details:

Author: swannman
Source Code:

License: GPL-3.0 license


Byte Cipher


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Do you want to hire dedicated Java Developer and offshore Java developers from a reputed software development company in India? You must have to visit ByteCipher Pvt Ltd, we have dedicated and skilled Java developers to provide you world class Java web application development services. For more information about our Java development services and to know how to hire Java developers in India, click here

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