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MNT: Fix welcome message formatting and instructions #3039

Merged
merged 1 commit into from
Jun 14, 2023
Merged

MNT: Fix welcome message formatting and instructions #3039

merged 1 commit into from
Jun 14, 2023

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DimitriPapadopoulos
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@DimitriPapadopoulos DimitriPapadopoulos commented Jun 14, 2023 •
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Changes proposed in this pull request

Fix the welcome message so that it looks less horrible:

Welcome

Unless I am mistaken, I can see no contributors.json file, just a .maint/developers.json file for the creators and a .maint/CONTRIBUTORS.md file.

Should the following files be fixed accordingly? Perhaps not, they might be legacy files:

fmriprep/.maint/paper_author_list.py

Lines 19 to 21 in eef5c7c

if __name__ == '__main__':
devs = json.loads(Path('.maint/developers.json').read_text())
contribs = json.loads(Path('.maint/contributors.json').read_text())

fmriprep/.maint/update_zenodo.py

Lines 94 to 103 in eef5c7c

creators = json.loads(Path('.maint/developers.json').read_text())
zen_creators, miss_creators = sort_contributors(
creators, data,
exclude=json.loads(Path('.maint/former.json').read_text()),
last=CREATORS_LAST)
contributors = json.loads(Path('.maint/contributors.json').read_text())
zen_contributors, miss_contributors = sort_contributors(
contributors, data,
exclude=json.loads(Path('.maint/former.json').read_text()),
last=CONTRIBUTORS_LAST)

Documentation that should be reviewed

-

@DimitriPapadopoulos DimitriPapadopoulos changed the title MAINT: .maint/contributors.json → CONTRIBUTORS.md MNT: .maint/contributors.json → CONTRIBUTORS.md Jun 14, 2023
@DimitriPapadopoulos DimitriPapadopoulos changed the title MNT: .maint/contributors.json → CONTRIBUTORS.md MNT: contributors.json → CONTRIBUTORS.md Jun 14, 2023
@effigies
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Yes, good catch. I didn't really want to dig into figuring out the changes needed for update_zenodo.py. If you're interested, please go for it.

@DimitriPapadopoulos
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Perhaps in a different PR? I'd rather see a more welcoming welcome message soon, and defer fixes to the zenodo script (although I expect the required change to be quite easy).

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Sounds good.

@effigies effigies changed the title MNT: contributors.json → CONTRIBUTORS.md MNT: Fix welcome message formatting and instructions Jun 14, 2023
@effigies effigies merged commit e329aa1 into nipreps:master Jun 14, 2023
@DimitriPapadopoulos DimitriPapadopoulos deleted the contributors.json branch June 14, 2023 15:57
effigies added a commit that referenced this pull request Jan 10, 2024
@effigies
Merge tag '23.2.0'
de72651 
23.2.0 (January 10, 2024)

New feature release in the 23.2.x series.

This release wraps up a significant refactor of fMRIPrep. The main new features
can be used with the ``--level`` and ``--derivatives`` flags.

The ``--level`` flag can take the arguments ``minimal``, ``resampling`` or
``full``. The default is ``full``, which should produce nearly the same results
as previous versions. ``minimal`` will produce only the minimum necessary to
deterministically generate the remaining derivatives. ``resampling`` will produce
some additional derivatives, intended to simplify resampling with other tools.

The ``--derivatives`` flag takes arguments of the form ``name=/path/to/dir``,
for example ``--derivatives anat=$SMRIPREP_DIR``.  If provided, fMRIPrep will
read the specified directories for pre-computed derivatives. If a derivative is
found, it will be used instead of computing it from scratch. If a derivative is
not found, fMRIPrep will compute it and proceed as usual.

Taken together, these features can allow a dataset provider to run a minimal
fMRIPrep run, targeting many output spaces, while a user can then run a
``--derivatives`` run to generate additional derivatives in only the output
spaces they need. Another use case is to provide an precomputed derivative
to override the default fMRIPrep behavior, enabling easier workarounds for
bugs or experimentation with alternatives.

Additionally, this release includes a number of bug fixes and improvements.
This release adds support for MSM-Sulc, improving the alignment of subject
surfaces to the fsLR template. This process is enabled by default, but may
be disabled with the ``--no-msm`` flag.

This release resolves a number of issues with fieldmaps inducing distortions
during correction. Phase difference and direct fieldmaps are now masked correctly,
preventing the overestimation of distortions outside the brain. Additionally,
we now implement Jacobian weighting during unwarping, which corrects for compression
and expansion effects on signal intensity. To disable Jacobian weighting, use
``--ignore fmap-jacobian``.

Finally, a new resampling method has been added, to better account for
susceptibility distortion and motion in a single shot resampling to a volumetric
target space. We anticipate extending this to surface targets in the future.

* FIX: Restore --ignore sbref functionality (#3180)
* FIX: Retrieve atlas ROIs at requested density (#3179)
* FIX: Keep minctracc executable in FreeSurfer installation (#3175)
* FIX: Exclude echo entity from optimally combined derivatives (#3166)
* FIX: Disable boldref-space outputs unless requested (#3159)
* FIX: Tag memory estimates in resamplers (#3150)
* FIX: Final revisions for next branch (#3134)
* FIX: Minor fixes to work with MSMSulc-enabled smriprep-next (#3098)
* FIX: Connect EPI-to-fieldmap transform (#3099)
* FIX: Use Py2-compatible version file template for fmriprep-docker (#3101)
* FIX: Update connections to unwarp_wf, convert ITK transforms to text (#3077)
* ENH: Allow --ignore fmap-jacobian to disable Jacobian determinant modulation during fieldmap correction (#3186)
* ENH: Exclude non-steady-state volumes from confound correlation plot (#3171)
* ENH: Pass FLAIR images to anatomical workflow builder to include in boilerplate (#3146)
* ENH: Restore carpetplot and other final adjustments (#3131)
* ENH: Restore CIFTI-2 generation (#3129)
* ENH: Restore resampling to surface GIFTIs (#3126)
* ENH: Restore confound generation (#3120)
* ENH: Restore resampling BOLD to volumetric templates (#3121)
* ENH: Restore resampling to T1w target (#3116)
* ENH: Add MSMSulc (#3085)
* ENH: Add reporting workflow for BOLD fit (#3082)
* ENH: Generate anatomical derivatives useful for resampling (#3081)
* RF: Load reportlets interfaces from nireports rather than niworkflows (#3176, #3184)
* RF: Separate goodvoxels mask creation from fsLR resampling (#3170)
* RF: Write out anatomical template derivatives (#3136)
* RF: Update primary bold workflow to incorporate single shot resampling (#3114)
* RF: Update derivative cache spec, calculate per-BOLD, reuse boldref2fmap (#3078)
* RF: Split fMRIPrep into fit and derivatives workflows (#2913)
* RPT: Rename CSF/WM confounds in fMRIPlot (#3172)
* TST: Add smoke tests for full workflow and most branching flags (#3155)
* TST: Add smoke-tests for bold_fit_wf (#3152)
* DOC: Fix documentation and description for init_bold_grayords_wf (#3051)
* DOC: Minor updates in outputs.rst (#3148)
* STY: Apply a couple refurb suggestions (#3151)
* STY: Fix flake8 warnings (#3044)
* STY: Apply pyupgrade suggestions (#3043)
* MNT: Restore mritotal subcommands to Dockerfile (#3149)
* MNT: Update smriprep to 0.13.1 (#3153)
* MNT: optimise size of PNG files (#3145)
* MNT: update vendored docs script ``github_link.py`` (#3144)
* MNT: Update tedana pin, test on Python 3.12 (#3141)
* MNT: Bump environment (#3132)
* MNT: Bump version requirements (#3107)
* MNT: http:// → https:// (#3097)
* MNT: Remove mritotal and dependencies from FreeSurfer ignore file (#3090)
* MNT: Update environment (#3073)
* MNT: Depend on newer sphinx (#3067)
* MNT: Install ANTs from conda-forge (#3061)
* MNT: Drop Python 3.8 and numpy 1.21 support (NEP29) (#3052)
* MNT: update update_zenodo.py script (#3042)
* MNT: Fix welcome message formatting and instructions (#3039)
* MNT: Python 3.11 should be supported (#3038)
* CI: Bump actions/setup-python from 4 to 5 (#3181)
* CI: Stop testing legacy layout (#3079)
* CI: Improve tag detection for docker builds (#3066)
* CI: Clean up pre-release builds (#3040)
NingAnMe added a commit to NingAnMe/fmriprep that referenced this pull request Jan 11, 2024
@NingAnMe
Merge tag '23.2.0' into deepprep
a84f452 
23.2.0 (January 10, 2024)

New feature release in the 23.2.x series.

This release wraps up a significant refactor of fMRIPrep. The main new features
can be used with the ``--level`` and ``--derivatives`` flags.

The ``--level`` flag can take the arguments ``minimal``, ``resampling`` or
``full``. The default is ``full``, which should produce nearly the same results
as previous versions. ``minimal`` will produce only the minimum necessary to
deterministically generate the remaining derivatives. ``resampling`` will produce
some additional derivatives, intended to simplify resampling with other tools.

The ``--derivatives`` flag takes arguments of the form ``name=/path/to/dir``,
for example ``--derivatives anat=$SMRIPREP_DIR``.  If provided, fMRIPrep will
read the specified directories for pre-computed derivatives. If a derivative is
found, it will be used instead of computing it from scratch. If a derivative is
not found, fMRIPrep will compute it and proceed as usual.

Taken together, these features can allow a dataset provider to run a minimal
fMRIPrep run, targeting many output spaces, while a user can then run a
``--derivatives`` run to generate additional derivatives in only the output
spaces they need. Another use case is to provide an precomputed derivative
to override the default fMRIPrep behavior, enabling easier workarounds for
bugs or experimentation with alternatives.

Additionally, this release includes a number of bug fixes and improvements.
This release adds support for MSM-Sulc, improving the alignment of subject
surfaces to the fsLR template. This process is enabled by default, but may
be disabled with the ``--no-msm`` flag.

This release resolves a number of issues with fieldmaps inducing distortions
during correction. Phase difference and direct fieldmaps are now masked correctly,
preventing the overestimation of distortions outside the brain. Additionally,
we now implement Jacobian weighting during unwarping, which corrects for compression
and expansion effects on signal intensity. To disable Jacobian weighting, use
``--ignore fmap-jacobian``.

Finally, a new resampling method has been added, to better account for
susceptibility distortion and motion in a single shot resampling to a volumetric
target space. We anticipate extending this to surface targets in the future.

* FIX: Restore --ignore sbref functionality (nipreps#3180)
* FIX: Retrieve atlas ROIs at requested density (nipreps#3179)
* FIX: Keep minctracc executable in FreeSurfer installation (nipreps#3175)
* FIX: Exclude echo entity from optimally combined derivatives (nipreps#3166)
* FIX: Disable boldref-space outputs unless requested (nipreps#3159)
* FIX: Tag memory estimates in resamplers (nipreps#3150)
* FIX: Final revisions for next branch (nipreps#3134)
* FIX: Minor fixes to work with MSMSulc-enabled smriprep-next (nipreps#3098)
* FIX: Connect EPI-to-fieldmap transform (nipreps#3099)
* FIX: Use Py2-compatible version file template for fmriprep-docker (nipreps#3101)
* FIX: Update connections to unwarp_wf, convert ITK transforms to text (nipreps#3077)
* ENH: Allow --ignore fmap-jacobian to disable Jacobian determinant modulation during fieldmap correction (nipreps#3186)
* ENH: Exclude non-steady-state volumes from confound correlation plot (nipreps#3171)
* ENH: Pass FLAIR images to anatomical workflow builder to include in boilerplate (nipreps#3146)
* ENH: Restore carpetplot and other final adjustments (nipreps#3131)
* ENH: Restore CIFTI-2 generation (nipreps#3129)
* ENH: Restore resampling to surface GIFTIs (nipreps#3126)
* ENH: Restore confound generation (nipreps#3120)
* ENH: Restore resampling BOLD to volumetric templates (nipreps#3121)
* ENH: Restore resampling to T1w target (nipreps#3116)
* ENH: Add MSMSulc (nipreps#3085)
* ENH: Add reporting workflow for BOLD fit (nipreps#3082)
* ENH: Generate anatomical derivatives useful for resampling (nipreps#3081)
* RF: Load reportlets interfaces from nireports rather than niworkflows (nipreps#3176, nipreps#3184)
* RF: Separate goodvoxels mask creation from fsLR resampling (nipreps#3170)
* RF: Write out anatomical template derivatives (nipreps#3136)
* RF: Update primary bold workflow to incorporate single shot resampling (nipreps#3114)
* RF: Update derivative cache spec, calculate per-BOLD, reuse boldref2fmap (nipreps#3078)
* RF: Split fMRIPrep into fit and derivatives workflows (nipreps#2913)
* RPT: Rename CSF/WM confounds in fMRIPlot (nipreps#3172)
* TST: Add smoke tests for full workflow and most branching flags (nipreps#3155)
* TST: Add smoke-tests for bold_fit_wf (nipreps#3152)
* DOC: Fix documentation and description for init_bold_grayords_wf (nipreps#3051)
* DOC: Minor updates in outputs.rst (nipreps#3148)
* STY: Apply a couple refurb suggestions (nipreps#3151)
* STY: Fix flake8 warnings (nipreps#3044)
* STY: Apply pyupgrade suggestions (nipreps#3043)
* MNT: Restore mritotal subcommands to Dockerfile (nipreps#3149)
* MNT: Update smriprep to 0.13.1 (nipreps#3153)
* MNT: optimise size of PNG files (nipreps#3145)
* MNT: update vendored docs script ``github_link.py`` (nipreps#3144)
* MNT: Update tedana pin, test on Python 3.12 (nipreps#3141)
* MNT: Bump environment (nipreps#3132)
* MNT: Bump version requirements (nipreps#3107)
* MNT: http:// → https:// (nipreps#3097)
* MNT: Remove mritotal and dependencies from FreeSurfer ignore file (nipreps#3090)
* MNT: Update environment (nipreps#3073)
* MNT: Depend on newer sphinx (nipreps#3067)
* MNT: Install ANTs from conda-forge (nipreps#3061)
* MNT: Drop Python 3.8 and numpy 1.21 support (NEP29) (nipreps#3052)
* MNT: update update_zenodo.py script (nipreps#3042)
* MNT: Fix welcome message formatting and instructions (nipreps#3039)
* MNT: Python 3.11 should be supported (nipreps#3038)
* CI: Bump actions/setup-python from 4 to 5 (nipreps#3181)
* CI: Stop testing legacy layout (nipreps#3079)
* CI: Improve tag detection for docker builds (nipreps#3066)
* CI: Clean up pre-release builds (nipreps#3040)
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@DimitriPapadopoulos @effigies