Mason 2 - July 2011 - Seattle Perl Users Group
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Mason 2.0 is an update to the Mason templating system for Perl that generates dynamic web content. Some key changes in Mason 2.0 include using Moose to define components as classes rather than instances, integrating with PSGI for web serving rather than relying on mod_perl, and standardizing file extensions. The update aims to modernize Mason and address longstanding issues while retaining the ability to write Perl code directly in templates.
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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.
Removing Uninteresting Bytes in Software Fuzzing
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.
National Security Agency - NSA mobile device best practices
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
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Pushing the limits of ePRTC: 100ns holdover for 100 days
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Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!
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UiPath Test Automation using UiPath Test Suite series, part 6
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Communications Mining Series - Zero to Hero - Session 1
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• Phases in Communication Mining
• Demo on Platform overview
• Q/A
Presentation of the OECD Artificial Intelligence Review of Germany
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Mason 2 - July 2011 - Seattle Perl Users Group
- 1. Mason 2 True OO templating for Perl Jonathan Swartz July 26, 2011 Seattle Perl Users Group
- 2. What is Mason? Templating system for generating dynamic content (e.g. web pages) <& header.mi &> <ul> % foreach my $article (@articles) { <li> <a href="<% $article->url %>"> <% $article->title %> </a> </li> %} </ul> <& footer.mi &>
- 3. Mason Timeline • 1998 - HTML::Mason 0.01 • 2001 - HTML::Mason 1.0 • 2002 - HTML::Mason 1.1, O’Reilly book • - Used by many mod_perl sites • 2006 - Amazon switches to Mason • - The lost years • 2011 - Mason 2.0
- 4. History: Past 5 years • Mason enters stasis mode • MVC supplants embedded-code • Web frameworks emerge • Catalyst+TT becomes Perl web “standard” • Mason wiki and mail list fills with weeds • Figured I was done... then they drag me back
- 5. Why Mason 2? • New technologies • Moose • Plack/PSGI • Long-desired syntax and features • Long-standing annoyances • Changes in how people use Mason today
- 6. Mason 1 vs 2 It’s called... HTML::Mason Mason Components are... Instances of a class Classes (Moose) Web integration via... mod_perl + glue PSGI Standardized, Filenames are... Arbitrary, unenforced semi-enforced Plugins are... Limited set of hooks Moose roles
- 7. Components as Moose Classes arguments --> attributes autohandlers --> parent classes “inheritance” --> inheritance subcomponents --> methods common package --> distinct package anon subroutines --> named subroutines Plus the power of Moose (roles, method modifiers, ...)
- 8. PSGI/Plack • PSGI - Interface spec between Perl web apps and servers (like CGI) • Allows Mason to work from mod_perl, Perl-only server, standalone script... • Plack - Common tools, middleware, servers (debug console, error trace, sessions...)
- 9. Catalyst/TT vs Mason Separate M Separate M, V, and C Unified V and C Simplified template Perl in templates language Designer friendly Programmer friendly
- 10. Standard file extensions • .mc - top-level component • .mi - internal component • .mp - pure-perl component
- 11. Demo
- 12. More information • http://search.cpan.org/perldoc?Mason • http://www.openswartz.com/
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