Tux Machines

Programming Leftovers

Posted by Roy Schestowitz on Jun 24, 2023

Security Leftovers

Gemini Articles of Interest

Remi Collet: PHP version 8.1.21RC1 and 8.2.8RC1

↺ Remi Collet: PHP version 8.1.21RC1 and 8.2.8RC1

> Release Candidate versions are available in testing repository for Fedora and Enterprise Linux (RHEL / CentOS / Alma / Rocky and other clones) to allow more people to test them. They are available as Software Collections, for a parallel installation, perfect solution for such tests, and also as base packages.

> RPM of PHP version 8.2.8RC1 are available

Ready to embark for Embedded Open Source Summit

↺ Ready to embark for Embedded Open Source Summit

> Taking place at the Prague Congress Centre from June 27 to 30, this new 4-day umbrella event brings multiple conferences, including Automotive Linux Summit (ALS) and Embedded Linux Conference (ELC), all under one roof.

a2ps @ Savannah: a2ps 4.15.5 released [stable]

↺ a2ps @ Savannah: a2ps 4.15.5 released [stable]

> This release is a minor bugfix release: it fixes the psnup delegation (for PSUtils), which has been broken since version 4.14.90. Here are the compressed sources and a GPG detached signature:   https://ftpmirror.gnu.org/a2ps/a2ps-4.15.5.tar.gz   https://ftpmirror.gnu.org/a2ps/a2ps-4.15.5.tar.gz.sig Use a mirror for higher download bandwidth:   https://www.gnu.org/order/ftp.html Here are the SHA1 and SHA256 checksums:

Symphytum personal database compiled in OE

↺ Symphytum personal database compiled in OE

> More than that, it is also going to be builtin in the next release of EasyOS.

> The LibreOffice database is a challenge to use, whereas Symphytum is very easy. OK, Symphytum does not have all the features as big professional database systems, but it sure works nice for a personal database. Forum member Subito Piano agrees: [...]

Qt Creator 11 Beta2 released

↺ Qt Creator 11 Beta2 released

> We are happy to announce the release of Qt Creator 11 Beta2!

Wasmer 4.0

↺ Wasmer 4.0

> Today we are thrilled to release Wasmer 4.0, shipping with amazing features that have been in the making for a few months.

Deep Dive into Python’s assertEqual() Method: Ensuring Accuracy in Testing

↺ Deep Dive into Python’s assertEqual() Method: Ensuring Accuracy in Testing

> Testing is a crucial component in software development. It ensures that the software product meets the desired standards and satisfies user requirements. Testing helps identify errors, bugs, or issues before production release, saving both time and resources. With the increasing complexity of software systems, sound testing practices have become necessary for ensuring quality, reliability,

The Art of Precision: Understanding Python’s assertAlmostEqual() Method

↺ The Art of Precision: Understanding Python’s assertAlmostEqual() Method

> Programming is all about accuracy and precision. As software developers, we strive to create programs that are not only functional but also reliable. Inaccurate or imprecise coding can lead to errors in data processing, incorrect output, and even system crashes.

A Study on Identity Testing in Python: The assertIs() Method

↺ A Study on Identity Testing in Python: The assertIs() Method

> As a Python developer, you are likely familiar with the concept of testing your code to ensure its correctness and reliability. One crucial aspect of software testing is identity testing, which determines if two objects are the same or not. In Python, this can be achieved using the assertIs() method.

assertIsInstance() in Python: Validating Object Classes in Unit Testing

↺ assertIsInstance() in Python: Validating Object Classes in Unit Testing

> Unit testing is an essential part of software development. It involves testing small, isolated units of code to ensure that they are working as expected. This process is critical as it helps developers catch any bugs or errors early on in the development cycle.

The Role of assertIsNone() in Python Testing: A Detailed Guide

↺ The Role of assertIsNone() in Python Testing: A Detailed Guide

> Software testing is a crucial aspect of software development that ensures the quality, reliability, and performance of software products. It involves the process of identifying defects or bugs in a program to ensure it meets the requirements and specifications set out by stakeholders.

Proving Truthfulness with Python: A Look at assertTrue() Method

↺ Proving Truthfulness with Python: A Look at assertTrue() Method

> When it comes to programming, truthfulness is a fundamental concept that cannot be overlooked. In essence, truthfulness refers to the accuracy and integrity of the code that developers create. A truthful program is one that performs exactly as intended, with no errors or unexpected results.

Navigating Python’s assertIn() Method: A Key to Efficient Testing

↺ Navigating Python’s assertIn() Method: A Key to Efficient Testing

> Software testing is an integral part of the software development process. It ensures that the application behaves as expected, meets the requirements and specifications, and is reliable for end-users. Testing can uncover bugs, errors, or vulnerabilities that can lead to unexpected behavior or crashes in the application.

Mock Objects in Python: Enhancing Test Flexibility and Control

↺ Mock Objects in Python: Enhancing Test Flexibility and Control

> Mock objects play an essential role in enhancing flexibility and control over software testing scenarios while reducing dependencies on external systems or components. They provide improved speed and efficiency during test execution. However, it is essential to avoid overuse or misuse of mock objects to prevent false positives and negatives.

Unveiling the Power of patch(): Dynamic Alterations in Python Testing

↺ Unveiling the Power of patch(): Dynamic Alterations in Python Testing

> Throughout this article, we explored the power of patch() function in achieving dynamic alterations in Python testing. We defined the patch() function and provided a step-by-step guide to using it for mocking and side effects.

Stubs in Python: A Practical Approach to Test Dummies

↺ Stubs in Python: A Practical Approach to Test Dummies

> Stubs are a powerful tool for simplifying tests involving complex dependencies. The use of these dummies allows developers to test code more efficiently and effectively while also improving maintainability during an SDLC. As with any tool, it is important not to overuse stubs to ensure tests cover all cases effectively and avoid false positives that could lead to issues in real-world scenarios.

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