This document discusses using the Ring programming language to create natural language programs based on classes and objects. It provides an example of defining classes to represent the natural language instructions "I want window" and "Window title =". The example shows how objects can execute code for each instruction. The document also discusses changing the Ring keyword "and" to avoid conflicts when parsing natural language statements. In summary, this document demonstrates how Ring allows programmers to build natural language interfaces by defining classes for natural language statements.
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!SOFTTECHHUB
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AIVladimir Iglovikov, Ph.D.
Presented by Vladimir Iglovikov:
- https://www.linkedin.com/in/iglovikov/
- https://x.com/viglovikov
- https://www.instagram.com/ternaus/
This presentation delves into the journey of Albumentations.ai, a highly successful open-source library for data augmentation.
Created out of a necessity for superior performance in Kaggle competitions, Albumentations has grown to become a widely used tool among data scientists and machine learning practitioners.
This case study covers various aspects, including:
People: The contributors and community that have supported Albumentations.
Metrics: The success indicators such as downloads, daily active users, GitHub stars, and financial contributions.
Challenges: The hurdles in monetizing open-source projects and measuring user engagement.
Development Practices: Best practices for creating, maintaining, and scaling open-source libraries, including code hygiene, CI/CD, and fast iteration.
Community Building: Strategies for making adoption easy, iterating quickly, and fostering a vibrant, engaged community.
Marketing: Both online and offline marketing tactics, focusing on real, impactful interactions and collaborations.
Mental Health: Maintaining balance and not feeling pressured by user demands.
Key insights include the importance of automation, making the adoption process seamless, and leveraging offline interactions for marketing. The presentation also emphasizes the need for continuous small improvements and building a friendly, inclusive community that contributes to the project's growth.
Vladimir Iglovikov brings his extensive experience as a Kaggle Grandmaster, ex-Staff ML Engineer at Lyft, sharing valuable lessons and practical advice for anyone looking to enhance the adoption of their open-source projects.
Explore more about Albumentations and join the community at:
GitHub: https://github.com/albumentations-team/albumentations
Website: https://albumentations.ai/
LinkedIn: https://www.linkedin.com/company/100504475
Twitter: https://x.com/albumentations
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AI
The Ring programming language version 1.5.2 book - Part 37 of 181
1. Ring Documentation, Release 1.5.2
see t[2] + nl
next
next
see copy("*",50) + nl
for x in aResult
see x["name"] + nl
next
close()
}
Output:
Test the sqlite Class Methods
1
Mahmoud
29
Jeddah
20000.0
2
Ahmed
27
Jeddah
15000.0
3
Mohammed
31
Egypt
20000.0
4
Ibrahim
24
Egypt
65000.0
**************************************************
Mahmoud
Ahmed
Mohammed
Ibrahim
43.18 Security Class
Methods:
Method Description/Output
md5(cString) Calculate the MD5 hash.
sha1(cString) Calculate the SHA1 hash.
sha256(cString) Calculate the SHA256 hash.
sha512(cString) Calculate the SHA512 hash.
sha384(cString) Calculate the SHA384 hash.
sha224(cString) Calculate the SHA224 hash.
encrypt(cString,cKey,cIV) Cncrypts the data using the Blowfish algorithm.
decrypt(cString,cKey,cIV) Decrypt the data encrypted using the Encrypt() method.
randbytes(nSize) Generate a string of pseudo-random bytes.
example:
43.18. Security Class 335
2. Ring Documentation, Release 1.5.2
Load "stdlib.ring"
osecuirty = new secuirty
See "Test the secuirty Class Methods" + nl
oSecuirty {
see md5("hello") + nl +
sha1("hello") + nl + sha256("hello") + nl +
sha512("hello") + nl + sha384("hello") + nl +
sha256("hello") + nl
list = 0:15 cKey="" for x in list cKey += char(x) next
list = 1:8 cIV = "" for x in list cIV += char(x) next
cCipher = encrypt("hello",cKey,cIV)
see cCipher + nl + decrypt(cCipher,cKey,cIV) + nl
}
43.19 Internet Class
Methods:
• download(cURL)
• sendemail(cSMTPServer,cEmail,cPassword,cSender,cReceiver,cCC,cTitle,cContent)
example:
Load "stdlib.ring"
ointernet = new internet
See "Test the internet Class Methods" + nl
ointernet {
see download("www.ring-lang.sf.net")
}
43.19. Internet Class 336
3. CHAPTER
FORTYFOUR
DECLARATIVE PROGRAMMING USING NESTED STRUCTURES
In this chapter we are going to learn how to build declarative programming world using nested structures on the top of
object oriented.
We will learn about
• Creating Objects inside Lists
• Composition and Returning Objects and Lists by Reference
• Executing code after the end of object access
• Declarative Programming on the top of Object-Oriented
44.1 Creating Objects inside Lists
We can create objects inside lists during list definition. Also we can add objects to the list at any time using the Add()
function or the + operator.
Example:
alist = [new point, new point, new point] # create list contains three objects
alist + [1,2,3] # add another item to the list
see "Item 4 is a list contains 3 items" + nl
see alist[4]
add(alist , new point)
alist + new point
alist[5] { x = 100 y = 200 z = 300 }
alist[6] { x = 50 y = 150 z = 250 }
see "Object inside item 5" + nl
see alist[5]
see "Object inside item 6" + nl
see alist[6]
class point x y z
Output:
Item 4 is a list contains 3 items
1
2
337
4. Ring Documentation, Release 1.5.2
3
Object inside item 5
x: 100.000000
y: 200.000000
z: 300.000000
Object inside item 6
x: 50.000000
y: 150.000000
z: 250.000000
44.2 Composition and Returning Objects and Lists by Reference
When we use composition and have object as one of the class attributes, when we return that object it will be returned
by reference.
if the called used the assignment operator, another copy of the object will be created.
The caller can avoid using the assignment operator and use the returned reference directly to access the object.
The same is done also if the attribute is a list (not object).
Note: Objects and Lists are treated using the same rules. When you pass them to function they are passed by
reference,
when you return them from functions they are returned by value except if it’s an object attribute where a return by
reference will be done.
Example:
o1 = new Container
myobj = o1.addobj() # the assignment will create another copy
myobj.x = 100
myobj.y = 200
myobj.z = 300
see o1.aobjs[1] # print the object inside the container
see myobj # print the copy
Class Container
aObjs = []
func addobj
aobjs + new point
return aobjs[len(aobjs)] # return object by reference
Class point
x = 10
y = 20
z = 30
Output:
x: 10.000000
y: 20.000000
z: 30.000000
x: 100.000000
y: 200.000000
z: 300.000000
44.2. Composition and Returning Objects and Lists by Reference 338
5. Ring Documentation, Release 1.5.2
Example(2):
func main
o1 = new screen {
content[point()] {
x = 100
y = 200
z = 300
}
content[point()] {
x = 50
y = 150
z = 250
}
}
see o1.content[1]
see o1.content[2]
Class Screen
content = []
func point
content + new point
return len(content)
Class point
x = 10
y = 20
z = 30
Output:
x: 100.000000
y: 200.000000
z: 300.000000
x: 50.000000
y: 150.000000
z: 250.000000
Example(3):
func main
o1 = New Screen {
point() { # access the object using reference
x = 100
y = 200
z = 300
}
point() { # access the object using reference
x = 50
y = 150
z = 250
}
}
see o1.content[1]
see o1.content[2]
Class Screen
content = []
func point
content + new point
44.2. Composition and Returning Objects and Lists by Reference 339
6. Ring Documentation, Release 1.5.2
return content[len(content)] # return the object by reference
Class point x=10 y=20 z=30
Output:
x: 100.000000
y: 200.000000
z: 300.000000
x: 50.000000
y: 150.000000
z: 250.000000
44.3 Executing code after the end of object access
We can access an object using { } to use object attributes and methods.
if the object contains a method called BraceEnd(), it will be executed before the end of the object access.
Example:
New Point { See "How are you?" + nl }
Class Point x y z
func braceend
see "I'm fine, Thank you!" + nl
Output:
How are you?
I'm fine, Thank you!
44.4 Declarative Programming on the top of Object-Oriented
The next features enable us to build and use declartive programming environment using nested structures on the top
of object oriented
• using {} to access the object attributes and methods
• BraceEnd() Method
• returning objects by reference
• Setter/Getter Methods (optional)
Example:
# Declartive Programming (Nested Structures)
Screen()
{
point()
{
x = 100
y = 200
z = 300
44.3. Executing code after the end of object access 340
7. Ring Documentation, Release 1.5.2
}
point()
{
x = 50
y = 150
z = 250
}
}
# Functions and Classes
Func screen return new screen
Class Screen
content = []
func point
content + new point
return content[len(content)]
func braceend
see "I have " + len(content) + " points!"
Class point
x=10 y=20 z=30
func braceend
see self
Output:
x: 100.000000
y: 200.000000
z: 300.000000
x: 50.000000
y: 150.000000
z: 250.000000
I have 2 points!
44.5 More beautiful Code
We can get better results and a more beautiful code when we can avoid writing () after the method name when
the methods doesn’t take parameters. This feature is not provided directly by the Ring language because there is a
difference between object methods and object attributes. We can get a similar effect on the syntax of the code when
we define a getter method for the object attribute. For example instead of defining the point() method. we will define
the point attribute then the getpoint() method that will be executed once you try to get the value of the point attribute.
since we write the variable name direcly without () we can write point instead of point() and the method getpoint()
will create the object and return the object reference for us.
Example:
new Container
{
44.5. More beautiful Code 341
8. Ring Documentation, Release 1.5.2
Point
{
x=10
y=20
z=30
}
}
Class Container
aObjs = []
point
func getpoint
aObjs + new Point
return aObjs[len(aObjs)]
Class Point x y z
func braceend
see "3D Point" + nl + x + nl + y + nl + z + nl
Output
3D Point
10
20
30
44.5. More beautiful Code 342
9. CHAPTER
FORTYFIVE
NATURAL LANGUAGE PROGRAMMING
Using the Ring programming language, we can create Natural programming languages based on classes and objects.
45.1 History
In 2010, I developed a new programming language called Supernova (developed using PWCT). This language uses
a code that looks similar to Natural Language statements to create simple GUI applications. Now after five years, In
the Ring programming language, we can get similar results, but now we have the ability to create/use code similar to
Natural language statements in any domain that we like or need.
The Ring programming language comes with the Supernova sprite, but with more generalization and with mix of other
languages sprites.
45.2 Example
The next example presents how to create a class that define two instructions
The first instruction is : I want window
The second instruction is : Window title = <expr>
Also keywords that can be ignored like the ‘the’ keyword
New App
{
I want window
The window title = "hello world"
}
Class App
# Attributes for the instruction I want window
i want window
nIwantwindow = 0
# Attributes for the instruction Window title
# Here we don't define the window attribute again
title
nWindowTitle = 0
# Keywords to ignore, just give them any value
the=0
func geti
343
10. Ring Documentation, Release 1.5.2
if nIwantwindow = 0
nIwantwindow++
ok
func getwant
if nIwantwindow = 1
nIwantwindow++
ok
func getwindow
if nIwantwindow = 2
nIwantwindow= 0
see "Instruction : I want window" + nl
ok
if nWindowTitle = 0
nWindowTitle++
ok
func settitle cValue
if nWindowTitle = 1
nWindowTitle=0
see "Instruction : Window Title = " + cValue + nl
ok
Output:
Instruction : I want window
Instruction : Window Title = hello world
45.3 Change the Ring Keyword ‘And’
What if we want to connect between the two instructions using ‘and’
We have a problem because in Ring ‘and’ is a keyword
We can change that using the ChangeRingKeyword command.
Syntax:
ChangeRingKeyword <oldkeyword> <newkeyword>
Note: remember to restore the keyword again
Tip: The ChangeRingKeyword command is executed in the scanner stage by the compiler (before parsing).
Example:
ChangeRingKeyword and _and
New App
{
I want window and the window title = "hello world"
}
Class App
45.3. Change the Ring Keyword ‘And’ 344