Month: March 2024

Woo stores using Woo Marketplace extensions or themes will be required to install the WooCommerce.com Update Manager to get new updates and streamlined support.

Knowledge graphs are a giant web of information where elements and ideas are linked to show how they are related in the real world. This is beyond databases that just store information. Knowledge graphs also store the connections between information.

This makes knowledge graphs very useful in various fields. Here are a few examples:

User-defined functions (UDFs) are a very useful feature supported in SQL++ (UDF documentation). Couchbase 7.6 introduces improvements that allow for more debuggability and visibility into UDF execution.

This blog will explore two new features in Couchbase 7.6 in the world of UDFs:

Go uses escape analysis to determine the dynamic scope of Go values. Typically, go tries to store all the Go values in the function stack frame. The go compiler can predetermine which memory needs to be freed and emits machine instructions to clean it up. This way it becomes easy to clean up memory without the intervention of the Go Garbage Collector. This way of allocating memory is typically called stack allocation.

But when the compiler cannot determine the lifetime of a Go value it escapes to the heap. A value may also escape to the heap when the compiler does not know the size of the variable, or it’s too large to fit into the stack, or if the compiler cannot determine whether the variable is used after the function ends or the function stack frame is not used anymore.

In the rapidly evolving world of large language models (LLMs), a new challenger has emerged that claims to outperform the reigning champion, OpenAI's GPT-4. Anthropic, a relatively new player in the field of artificial intelligence, has recently announced the release of Claude 3, a powerful language model that comes in three different sizes: Haiku, Sonnet, and Opus.

Compared to previous models, the new Claude 3 model displays enhanced contextual understanding that ultimately results in fewer refusals (as shown in the above image). The company claims that the Claude 3 Opus model rivals or even surpasses GPT-4 considering performance across various benchmarks. Experts engage in lively debates regarding the possible superiority of Claude 3 over GPT-4 as the pre-eminent language model on the market.

This post continues my exploration of concepts and techniques related to both the way so-called “Jewish times” (zmanim) are calculated; as well as the techniques needed to use the PHP Zmanim library – a library of functions that let you easily calculate Jewish times. Once again I owe a huge debt of gratitude to several folks – including Eliyahu Hershfeld, creator of the Kosher Java library, Zachary Weixelbaum (owner of the PHP Zmanim library, a port of Kosher Java), Elyahu Jacobi (who built RoyZmanim.com with those tools and patiently explained so many concepts to me), and Maor Neim, who offered explanations that turned theory into practice.

Introduction

In my last post, I explored both the foundational concepts of Jewish time calculations (zmanim) and also the initial steps needed to install and use PHP Zmanim. We got as far as calculating sunrise with that library.

I blogged about Java stream debugging in the past, but I skipped an important method that's worthy of a post of its own: peek. This blog post delves into the practicalities of using peek() to debug Java streams, complete with code samples and common pitfalls.

Understanding Java Streams

Java Streams represent a significant shift in how Java developers work with collections and data processing, introducing a functional approach to handling sequences of elements. Streams facilitate declarative processing of collections, enabling operations such as filter, map, reduce, and more in a fluent style. This not only makes the code more readable but also more concise compared to traditional iterative approaches.

After JUnit 5 was released, a lot of developers just added this awesome new library to their projects, because unlike other versions, in this new version, it is not necessary to migrate from JUnit 4 to 5, you just need to include the new library in your project, and with all the engine of JUnit 5 you can do your new tests using JUnit 5, and the older one with JUnit 4 or 3, will keep running without problem. 

But what can happen in a big project, a project that was built 10 years ago with two versions of JUnit running in parallel?