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Add ARM CI tests #1530

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edmundmiller
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@edmundmiller edmundmiller commented Mar 26, 2025

Uses runs-on to validate ARM64 runs.

After writing this PR, I don't know if we should bother with this.

I think #1529 across all of the pipelines will cover our "end-to-end this pipeline runs on ARM" stamp.

We're also ensuring that the modules work container-wise at the nf-core/modules level. So this would probably be more headache than it's worth?

@edmundmiller edmundmiller self-assigned this Mar 26, 2025
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github-actions bot commented Mar 26, 2025

nf-core pipelines lint overall result: Passed ✅ ⚠️

Posted for pipeline commit 7128543

+| ✅ 191 tests passed       |+
#| ❔   9 tests were ignored |#
!| ❗  10 tests had warnings |!

❗ Test warnings:

  • files_exist - File not found: assets/multiqc_config.yml
  • files_exist - File not found: .github/workflows/awstest.yml
  • files_exist - File not found: .github/workflows/awsfulltest.yml
  • pipeline_todos - TODO string in nextflow.config: Update the field with the details of the contributors to your pipeline. New with Nextflow version 24.10.0
  • pipeline_todos - TODO string in ro-crate-metadata.json: "description": "

    \n \n <source media="(prefers-color-scheme: dark)" srcset="docs/images/nf-core-rnaseq_logo_dark.png">\n <img alt="nf-core/rnaseq" src="docs/images/nf-core-rnaseq_logo_light.png">\n \n

    \n\nGitHub Actions CI Status\nGitHub Actions Linting StatusAWS CICite with Zenodo\nnf-test\n\nNextflow\nrun with conda\nrun with docker\nrun with singularity\nLaunch on Seqera Platform\n\nGet help on SlackFollow on TwitterFollow on MastodonWatch on YouTube\n\n## Introduction\n\nnf-core/rnaseq is a bioinformatics pipeline that ...\n\n TODO nf-core:\n Complete this sentence with a 2-3 sentence summary of what types of data the pipeline ingests, a brief overview of the\n major pipeline sections and the types of output it produces. You're giving an overview to someone new\n to nf-core here, in 15-20 seconds. For an example, see https://github.com/nf-core/rnaseq/blob/master/README.md#introduction\n\n\n Include a figure that guides the user through the major workflow steps. Many nf-core\n workflows use the "tube map" design for that. See https://nf-co.re/docs/contributing/design_guidelines#examples for examples. \n Fill in short bullet-pointed list of the default steps in the pipeline 1. Read QC (FastQC)2. Present QC for raw reads (MultiQC)\n\n## Usage\n\n> [!NOTE]\n> If you are new to Nextflow and nf-core, please refer to this page on how to set-up Nextflow. Make sure to test your setup with -profile test before running the workflow on actual data.\n\n Describe the minimum required steps to execute the pipeline, e.g. how to prepare samplesheets.\n Explain what rows and columns represent. For instance (please edit as appropriate):\n\nFirst, prepare a samplesheet with your input data that looks as follows:\n\nsamplesheet.csv:\n\ncsv\nsample,fastq_1,fastq_2\nCONTROL_REP1,AEG588A1_S1_L002_R1_001.fastq.gz,AEG588A1_S1_L002_R2_001.fastq.gz\n\n\nEach row represents a fastq file (single-end) or a pair of fastq files (paired end).\n\n\n\nNow, you can run the pipeline using:\n\n update the following command to include all required parameters for a minimal example \n\nbash\nnextflow run nf-core/rnaseq \\\n -profile <docker/singularity/.../institute> \\\n --input samplesheet.csv \\\n --outdir <OUTDIR>\n\n\n> [!WARNING]\n> Please provide pipeline parameters via the CLI or Nextflow -params-file option. Custom config files including those provided by the -c Nextflow option can be used to provide any configuration except for parameters; see docs.\n\nFor more details and further functionality, please refer to the usage documentation and the parameter documentation.\n\n## Pipeline output\n\nTo see the results of an example test run with a full size dataset refer to the results tab on the nf-core website pipeline page.\nFor more details about the output files and reports, please refer to the\noutput documentation.\n\n## Credits\n\nnf-core/rnaseq was originally written by Harshil Patel, Phil Ewels, Rickard Hammar\u00e9n.\n\nWe thank the following people for their extensive assistance in the development of this pipeline:\n\n If applicable, make list of people who have also contributed \n\n## Contributions and Support\n\nIf you would like to contribute to this pipeline, please see the contributing guidelines.\n\nFor further information or help, don't hesitate to get in touch on the Slack #rnaseq channel (you can join with this invite).\n\n## Citations\n\n Add citation for pipeline after first release. Uncomment lines below and update Zenodo doi and badge at the top of this file. \n If you use nf-core/rnaseq for your analysis, please cite it using the following doi: 10.5281/zenodo.XXXXXX \n\n Add bibliography of tools and data used in your pipeline \n\nAn extensive list of references for the tools used by the pipeline can be found in the CITATIONS.md file.\n\nYou can cite the nf-core publication as follows:\n\n> The nf-core framework for community-curated bioinformatics pipelines.\n>\n> Philip Ewels, Alexander Peltzer, Sven Fillinger, Harshil Patel, Johannes Alneberg, Andreas Wilm, Maxime Ulysse Garcia, Paolo Di Tommaso & Sven Nahnsen.\n>\n> Nat Biotechnol. 2020 Feb 13. doi: 10.1038/s41587-020-0439-x.\n",
  • pipeline_todos - TODO string in main.nf: Optionally add in-text citation tools to this list.
  • pipeline_todos - TODO string in main.nf: Optionally add bibliographic entries to this list.
  • pipeline_todos - TODO string in main.nf: Only uncomment below if logic in toolCitationText/toolBibliographyText has been filled!
  • pipeline_todos - TODO string in base.config: Check the defaults for all processes
  • pipeline_todos - TODO string in methods_description_template.yml: #Update the HTML below to your preferred methods description, e.g. add publication citation for this pipeline

❔ Tests ignored:

✅ Tests passed:

Run details

  • nf-core/tools version 3.2.0
  • Run at 2025-03-26 17:39:04

@edmundmiller
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Discussed with @nf-core/infrastructure, and we decided it wasn't worth it.

We're going to test at

  1. module level: To make sure the build is working and get any minor hashing changes
  2. Megatests: Does the pipeline run end-2-end, and is the speed comparable or faster?

Not bothering with the nf-test pipeline level. Could it catch things? Maybe. Will it be a ton of CI hours and probably result in people fighting failing tests more? Definitely.

@github-project-automation github-project-automation bot moved this from In Progress to Done in nf-core infrastructure projects Apr 1, 2025
@edmundmiller edmundmiller deleted the arm-runners branch April 1, 2025 12:57
@edmundmiller
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edmundmiller commented Apr 22, 2025

For reference, GPU tests are a different story. It tests different functionality in the pipeline, not the same code, just a different architecture.

The only edge case we're not catching is that local modules differ. And those aren't worth the complexity in the CI, and I'd rather encourage people to contribute their local modules to nf-core/modules

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