In augmentation, elastic_transform, it only applies a random transform on one input image array. I would think to be used for training, the image and mask pair should be transform in the same way. However, this single-input-image, single-output-image method makes it very inconvenient. Could we deform a list of images (np.arrays) using the same transformation in this method ? Thanks!

This is also true for fetch_atlas_juelich since they both share the same internal logic.
maps should indeed be the Nifti1Image, but we should either remove filename or change it to be the path to the Nifti1Image.

Also, this is the only fetcher which returns a Bunch object without a description.

from nilearn import datasets
b = datasets.fetch_atlas_harvard_oxford("c

Cancelling "Create new X as ..." dialogue creates new object with the default name (as if from "Create new X"), but clicking Cancel should not produce any object.
I think this happens in several modules, with different types of object, including Table and Volume.

Steps to reproduce

Invoke "Create new Table as ..." dialogue, such as for the Output table of the **Segment St

The date and time on the output of the running docker container isn't correct, adding a volume "-v /etc/localtime:/etc/localtime:ro" might fix this?

This would help me know how long a process

Some is already in .gitignore, but some is not. We should check all examples.

Problem

The sample column in events.tsv encodes the following:

OPTIONAL. Onset of the event according to the sampling scheme of the recorded modality (i.e., referring to the raw data file that the events.tsv file accompanies).

As identified by @robertoostenveld, we do

Summary

This is based on an idea @emdupre had when she was looking at NiMARE's documentation. Basically, our Sphinx configuration includes a width restriction by default, but said restriction may not make things more readable.

Before

![image](https://user-images.githubusercontent.com/8228902/142676336-a1873e8b-a0e1-4e56-a260-c6264e109123

Following our work on migrating interactive prompts to Click, some shortcomings regarding the current user experience wrt to interactivity surfaced.

Some pipelines provide the caller with the ability to set some parameters in an interactive fashion, which does not play nice with cluster usage where prompts may hang execution indefinitely. One pi

It would be good to have the choice of the format in which we want to save save-tensors outputs (.pt or .nii.gz). Indeed nifti is better to visualize and save space.
Then we also would have to change the name of the command line ?

Summary

The CFF file format is relatively new and supported in GitHub, Zenodo, and Zotero.

Additional details

See https://docs.github.com/en/repositories/managing-your-repositorys-settings-and-features/customizing-your-repository/about-citation-files

Next steps