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Programming Leftovers

Submitted by Roy Schestowitz on Thursday 23rd of December 2021 02:16:37 AM Filed under
Development
  • Stochastic bisection in Git [LWN.net]

    Regressions are no fun; among other things, finding the source of a regression among thousands of changes can be a needle-in-the-haystack sort of problem. The git bisect command can help; it is a (relatively) easy way to sift through large numbers of commits to find the one that introduces a regression. When it works well, it can quickly point out the change that causes a specific problem. Bisection is not a perfect tool, though; it can go badly wrong in situations where a bug cannot be reliably reproduced. In an attempt to make bisection more useful in such cases, Jan Kara is proposing to add "stochastic bisection" support to Git.

    Bisection looks for problem commits using a binary search. The developer identifies the latest known good commit with git bisect good and the earliest known commit showing the bug with git bisect bad. Git will then find a commit near the midpoint between the two, check out that commit, and wait for the developer to try to reproduce the bug. Another git bisect command is used to mark the commit as "good" or "bad", and the process repeats, dividing the range of commits in half each time, until only one commit remains. That commit must be the one that introduced the bug in question.

    This technique can be powerful. A bug introduced in a 12,000-commit kernel merge window can be narrowed to a single commit in 14 bisect cycles, which makes the process of finding the actual bug much easier. But it works less well when dealing with bugs that are difficult to reproduce and which, thus, may not manifest in any given testing cycle. A 14-step bisection is 14 opportunities for the developer to provide an incorrect result, and it only takes one such to throw the entire process off. It is not uncommon to see nonsensical bisection results posted to mailing lists; they are often caused by just this kind of problem.

  • Linux: Linker-Alternative Mold wants to be faster than GNU Gold and LLVM’s lld [Ed: Automated translation]

    lld developer Rui Ueyama has released Mold 1.0, a new linker alternative to GNUs Gold and LLVM’s lld. With version 1.0, a software project is generally considered stable and can be used without hesitation. Mold currently runs on Linux systems, support for macOS and Windows is planned.

    Faster thanks to faster algorithms

    LLVM is a compiler architecture that is used in Linux and FreeBSD, among others. LLVM lld is an alternative to the GNU tools ld and gold. Die Linker-Alternative Mold (English for “Schimmel”, der is recognizable in the logo) does not offer any new linker functions compared to lld or gold, but it should be noticeably faster.

  • Day 23 – The Life of Raku Module Authoring – Raku Advent Calendar

    Hello, world! This article is a lot about fez and how you can get started writing your first module and making it available to other users. Presuming you have rakudo and zef installed, install fez!

  • Perl Weekly Challenge 144: Semiprimes and Ulam Sequence
  • Wrangling the typing PEPs [LWN.net]

    When last we looked in on the great typing PEP debate for Python, back in August, two PEPs were still being discussed as alternatives for handling annotations in the language. The steering council was considering the issue after deferring on a decision for the Python 3.10 release, but the question has been deferred again for Python 3.11. More study is needed and the council is looking for help from the Python community to guide its decision. In the meantime, though, discussion about the deferral has led to the understanding that annotations are not a general-purpose feature, but are only meant for typing information. In addition, there is a growing realization that typing information is effectively becoming mandatory for Python libraries.

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today's howtos

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    In this tutorial, we are going to explore how to install go on Ubuntu 22.04 Golang is an open-source programming language that is easy to learn and use. It is built-in concurrency and has a robust standard library. It is reliable, builds fast, and efficient software that scales fast. Its concurrency mechanisms make it easy to write programs that get the most out of multicore and networked machines, while its novel-type systems enable flexible and modular program constructions. Go compiles quickly to machine code and has the convenience of garbage collection and the power of run-time reflection. In this guide, we are going to learn how to install golang 1.19beta on Ubuntu 22.04. Go 1.19beta1 is not yet released. There is so much work in progress with all the documentation.

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