The rapid growth of digital platforms has brought image safety into sharp focus. Harmful imagery—ranging from explicit content to depictions…
Development
Developing effective multi-modal AI systems for real-world applications requires handling diverse tasks such as fine-grained recognition, visual grounding, reasoning, and…
We are expanding our TestNG suite to run multiple tests. Doing so we’ve encountered a strange occurrence.
In one suite I have two tests. Both tests have one class each. Tests in IntegrationTest.java has a @BeforeClass annotation.
This is my testng.xml:
<suite name=”Suite”>
<test name=”Test”>
<classes>
<class name=”testng.Jenkins”/>
</classes>
</test>
<test name=”Test2″>
<classes>
<class name=”testng.integrationTest.IntegrationTest”/>
</classes>
</test>
</suite>
Two tests, one class each.
Below is my TestNG output console:
There is no mention of the method under @BeforeClass annotation in IntegrationTest.java.
The method got executed (it has sysout in the console) but it is not shown in this TestNG results console.
Shouldn’t @BeforeClass execute before @Test?
This the class:
public class IntegrationTest {
//@BeforeSuite
//public void beforeSuite() {
//
// System.out.println(“Before suite”);
//
//
//
//}
@BeforeClass
public void beforeClass() {
System.out.println(“Before class”);open(“http://www.google.com”);
}
@Test
public void IDEEACamsEndtoEndTest() {
System.out.println(“Actual test”);
}
}
So, @BeforeCLass method doesn’t get displayed in TestNG output window (picture above) until I uncomment @BeforeSuite. Then both get displayed (picture below):
Comments Source: Read MoreÂ
Multi-modal Large Language Models (MLLMs) have revolutionized various image and video-related tasks, including visual question answering, narrative generation, and interactive…
Large language models (LLMs) like GPT-4, PaLM, Bard, and Copilot have made a huge impact in natural language processing (NLP).…
Autoregressive pre-training has proved to be revolutionary in machine learning, especially concerning sequential data processing. Predictive modeling of the following…
A Laravel wrapper for version 4 of the IGDB API (Apicalypse) including webhook handling Source: Read MoreÂ
A Cos storage filesystem for Laravel. Source: Read MoreÂ
Test Guild – Automation Testing Tools Community
Top 8 Automation Testing Trends Shaping 2025
As we enter 2025, here are some automation testing trends I think will significantly shape the future of software testing. My analysis for this post integrates data from hundreds of interviews and a comprehensive automation testing survey spanning 2018-2025, with an average of 200 responses per year, revealing considerable shifts in testing priorities and persistent
You’re reading Top 8 Automation Testing Trends Shaping 2025, originally posted on Test Guild – Automation Testing Tools Community – and copyrighted by Joe Colantonio
Large Language Models (LLMs) have revolutionized generative AI, showing remarkable capabilities in producing human-like responses. However, these models face a…
Test automation plays an important role in software development and quality assurance today, especially in the realm of software testing. This includes regression testing. However, if not managed properly, automated test suites can sometimes cost more than their benefits. To reduce test automation maintenance costs and improve maintenance efforts, it’s essential to follow best practices
The post Test Automation Maintenance Costs: Smart Ways to Reduce appeared first on Codoid.
The rise of multimodal applications has highlighted the importance of instruction data in training MLMs to handle complex image-based queries…
Multi-hop queries have always given LLM agents a hard time with their solutions, necessitating multiple reasoning steps and information from…
Large Language Models (LLMs) have shown remarkable capabilities across diverse natural language processing tasks, from generating text to contextual reasoning.…
Understanding and processing human language has always been a difficult challenge in artificial intelligence. Early AI systems often struggled to…
Comments Source: Read MoreÂ
Large language models (LLMs) have recently been enhanced through retrieval-augmented generation (RAG), which dynamically integrates external knowledge sources to improve…
Artificial General Intelligence (AGI) seeks to create systems that can perform various tasks, reasoning, and learning with human-like adaptability. Unlike…
Laravel’s API Resources provide elegant methods for conditionally including attributes in your responses, allowing you to create flexible and efficient…