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authorMohammad Akhlaghi <mohammad@akhlaghi.org>2021-04-09 01:08:31 +0100
committerMohammad Akhlaghi <mohammad@akhlaghi.org>2021-04-09 02:00:18 +0100
commita63900bc5a83052081e6ca6bcc0a2bb4ee5a860e (patch)
tree15c7dcdff040b4c60110547de71d08ff0f5fadd0 /tex/img
parent55d6570aecc5f442399262b7faa441d16ccd4556 (diff)
Comments by Konrad Hinsen implemented
Konrad had kindly gone through the paper and the appendices with very good feedback that is now being addressed in the paper (thanks a lot Konrad!): - IPOL recently also allows Python code. So the respective parts of the description of IPOL have been updated. To address the dependency issue, I also added a sentence that only certain dependencies (with certain versions) are acceptable. - On Active Papers (AP: which is written by Konrad) corrections were made based on the following parts of his comments: - "The fundamental issue with ActivePapers is its platform dependence on either Java or Python, neither of which is attractive." - "The one point which is overemphasized, in my opinion, is the necessity to download large data files if some analysis script refers to it. That is true in the current implementation (which I consider a research prototype), but not a fundamental feature of the approach. Implementing an on-demand download strategy is not particularly complicated, it just needs to be done, and it wasn't a priority for my own use cases." - "A historical anecdote: you mention that HDF View requires registering for download. This is true today, but wasn't when I started ActivePapers. Otherwise I'd never have built on HDF5. What happened is that the HDF Group, formerly part of NCSA and thus a public research infrastructure, was turned into a semi-commercial entity. They have committed to keeping the core HDF5 library Open Source, but not any of the tooling around it. Many users have moved away from HDF5 as a consequence. The larger lesson is that Richard Stallman was right: if software isn't GPLed, then you never know what will happen to it in the future." - On Guix, some further clarification was added to address Konrad's quote below (with a link to the blog-post mentioned there). In short, I clarified that I mean storing the Guix commit hash with any respective high-level analysis change is the extra step. - "I also looked at the discussion of Nix and Guix, which is what I am mainly using today. It is mostly correct as well, the one exception being the claim that 'it is up to the user to ensure that their created environment is recorded properly for reproducibility in the future'. The environment is *recorded* in all detail, automatically. What requires some effort is extracting a human-readable description of that environment. For Guix, I have described how to do this in a blog post (https://guix.gnu.org/en/blog/2020/reproducible-computations-with-guix/), and in less detail in a recent CiSE paper (https://hal.archives-ouvertes.fr/hal-02877319). There should definitely be a better user interface for this, but it's no more than a user interface issue. What is pretty nice in Guix by now is the user interface for re-creating an environment, using the "guix time-machine" subcommand." - The sentence on Software Heritage being based on Git was reworded to fit this comment of Konrad: "The plural sounds quite optimistic. As far as I know, SWH is the only archive of its kind, and in view of the enormous resources and long-time commitments it requires, I don't expect to see a second one." - When introducing hashes, Konrad suggested the following useful paper that shows how they are used in content-based storage: DOI:10.1109/MCSE.2019.2949441 - On Snakemake, Konrad had the following comment: "[A system call in Python is] No slower than from bash, or even from any C code. Meaning no slower than Make. It's the creation of a new process that takes most of the time." So the point was just shifted to the many quotations necessary for calling external programs and how it is best suited for a Python-based project. In addition some minor typos that I found during the process are also fixed.
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