Fit nessecheatsheet
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This document provides a cheat sheet for using FitNesse with examples of: 1) Command line options for running FitNesse, 2) Formatting techniques for wiki syntax including headings, images, links, and tables, 3) Types of special FitNesse pages like SetUp, TearDown, and more, 4) Examples of using SLIM tables for decisions, queries, scripts, and comparisons.
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![FitNesse Cheat Sheet
java -jar fitnesse.jar
Define port number -p 8888
Disable versioning (zip files) -e 0
Command Line options
Comment #text
Italics ‘‘ text ’’
Bold ‘‘‘ text ‘‘‘
Strike-Through -- text --
As/Is-escaping !- CamelCaseNoLink -!
Character Formatting
Child >ChildPage
Sister SisterPage
Top .TopPage
SomePath .TopPage.PathToPage
Parent <ParentPage
Page Navigation
By default Decision Table:
Prevent wikification: ! | fixture specification |
SLIM Fixtures
Horizontal line ----
Note !note text
Headings !1 largest heading text
up to
!6 smallest heading text
Centered !c text
Collaps expanded !* [Title]
Multi-line wiki text
*!
Collaps collapsed !*> [Title]
Multi-line wiki text
*!
Line & Block Formatting
Contents tree !contents -R2 -g
Last Modified !lastmodified
Include page !include -c AnyPagePath
Picture insert !img url-to-image-file
Cross reference !see AnyPagePath
Links & Includes
/root Good place to put initialization
SetUp Called before each test
TearDown Called after each test
SuiteSetUp Called before suite execution
SuiteTearDown Called after suite execution
Special Pages
! | Order a snack |
| quantity | snack | for user | result? |
| 1 | Pizza | Joe | success |
SLIM Decision Table
! | Query: Get todays orders |
| quantity | snack | price |
| 1 | Pizza | € 5,3 |
SLIM Query Table
! | Script | Given |
| a user | Joe | with credits | 10 |
| check | that credits for | Joe | is | 10 |
| show | todays total order price |
| ensure | that no one has negative credits |
SLIM Script Table
! | Some Decision Table |
| input | output? |
| 3 | <5 |
| 5 | >=3 |
| 8 | 3<_<9 |
You can use all the normal operators:
<,>,<=,>=,!=,
~= means approximately equal (for float)
Value Comparisions
| Some Decision Table |
| input | output? |
| 3 | $VariableName= |
| $VariableName | 8 |
Using Variables
UserGuide
http://fitnesse.org/FitNesse.UserGuide
Real world example
http://AgileAcceptanceTesting.GoogleCode.com
More info
To shorten fixture names in your testpages:
! | Import |
| YourNameSpace |
Import namespaces](https://image.slidesharecdn.com/fitnessecheatsheet-150326070154-conversion-gate01/85/Fit-nessecheatsheet-1-320.jpg)
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In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Full-RAG: A modern architecture for hyper-personalization
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
Generating privacy-protected synthetic data using Secludy and Milvus
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
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.
20240605 QFM017 Machine Intelligence Reading List May 2024
Everything I found interesting about machines behaving intelligently during May 2024
Microsoft - Power Platform_G.Aspiotis.pdf
Revolutionizing Application Development
with AI-powered low-code, presentation by George Aspiotis, Sr. Partner Development Manager, Microsoft
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
Choosing The Best AWS Service For Your Website + API.pptx
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
Mind map of terminologies used in context of Generative AI
Mind map of common terms used in context of Generative AI.
Infrastructure Challenges in Scaling RAG with Custom AI models
Building Retrieval-Augmented Generation (RAG) systems with open-source and custom AI models is a complex task. This talk explores the challenges in productionizing RAG systems, including retrieval performance, response synthesis, and evaluation. We’ll discuss how to leverage open-source models like text embeddings, language models, and custom fine-tuned models to enhance RAG performance. Additionally, we’ll cover how BentoML can help orchestrate and scale these AI components efficiently, ensuring seamless deployment and management of RAG systems in the cloud.
AI-Powered Food Delivery Transforming App Development in Saudi Arabia.pdf
In this blog post, we'll delve into the intersection of AI and app development in Saudi Arabia, focusing on the food delivery sector. We'll explore how AI is revolutionizing the way Saudi consumers order food, how restaurants manage their operations, and how delivery partners navigate the bustling streets of cities like Riyadh, Jeddah, and Dammam. Through real-world case studies, we'll showcase how leading Saudi food delivery apps are leveraging AI to redefine convenience, personalization, and efficiency.
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.
Columbus Data & Analytics Wednesdays - June 2024
Columbus Data & Analytics Wednesdays, June 2024 with Maria Copot 20
Taking AI to the Next Level in Manufacturing.pdf
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
Best 20 SEO Techniques To Improve Website Visibility In SERP
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
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UiPath Test Automation using UiPath Test Suite series, part 6
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Your One-Stop Shop for Python Success: Top 10 US Python Development Providers
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Essentials of Automations: The Art of Triggers and Actions in FME
Full-RAG: A modern architecture for hyper-personalization
Full-RAG: A modern architecture for hyper-personalization
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Generating privacy-protected synthetic data using Secludy and Milvus
National Security Agency - NSA mobile device best practices
National Security Agency - NSA mobile device best practices
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20240605 QFM017 Machine Intelligence Reading List May 2024
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Choosing The Best AWS Service For Your Website + API.pptx
Choosing The Best AWS Service For Your Website + API.pptx
Mind map of terminologies used in context of Generative AI
Mind map of terminologies used in context of Generative AI
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Infrastructure Challenges in Scaling RAG with Custom AI models
AI-Powered Food Delivery Transforming App Development in Saudi Arabia.pdf
AI-Powered Food Delivery Transforming App Development in Saudi Arabia.pdf
Best 20 SEO Techniques To Improve Website Visibility In SERP
Best 20 SEO Techniques To Improve Website Visibility In SERP
Fit nessecheatsheet
- 1. FitNesse Cheat Sheet java -jar fitnesse.jar Define port number -p 8888 Disable versioning (zip files) -e 0 Command Line options Comment #text Italics ‘‘ text ’’ Bold ‘‘‘ text ‘‘‘ Strike-Through -- text -- As/Is-escaping !- CamelCaseNoLink -! Character Formatting Child >ChildPage Sister SisterPage Top .TopPage SomePath .TopPage.PathToPage Parent <ParentPage Page Navigation By default Decision Table: Prevent wikification: ! | fixture specification | SLIM Fixtures Horizontal line ---- Note !note text Headings !1 largest heading text up to !6 smallest heading text Centered !c text Collaps expanded !* [Title] Multi-line wiki text *! Collaps collapsed !*> [Title] Multi-line wiki text *! Line & Block Formatting Contents tree !contents -R2 -g Last Modified !lastmodified Include page !include -c AnyPagePath Picture insert !img url-to-image-file Cross reference !see AnyPagePath Links & Includes /root Good place to put initialization SetUp Called before each test TearDown Called after each test SuiteSetUp Called before suite execution SuiteTearDown Called after suite execution Special Pages ! | Order a snack | | quantity | snack | for user | result? | | 1 | Pizza | Joe | success | SLIM Decision Table ! | Query: Get todays orders | | quantity | snack | price | | 1 | Pizza | € 5,3 | SLIM Query Table ! | Script | Given | | a user | Joe | with credits | 10 | | check | that credits for | Joe | is | 10 | | show | todays total order price | | ensure | that no one has negative credits | SLIM Script Table ! | Some Decision Table | | input | output? | | 3 | <5 | | 5 | >=3 | | 8 | 3<_<9 | You can use all the normal operators: <,>,<=,>=,!=, ~= means approximately equal (for float) Value Comparisions | Some Decision Table | | input | output? | | 3 | $VariableName= | | $VariableName | 8 | Using Variables UserGuide http://fitnesse.org/FitNesse.UserGuide Real world example http://AgileAcceptanceTesting.GoogleCode.com More info To shorten fixture names in your testpages: ! | Import | | YourNameSpace | Import namespaces