[Neuroimaging] ANN: NiBabel 5.0

[JB Poline]

Thanks a lot for that !
JB

On Mon, Jan 9, 2023 at 10:57 AM Bertrand Thirion <bertrand.thirion at inria.fr>
wrote:

> Congrats indeed !
>
> Bertrand Thirion
> Head of science (délégué scientifique) Inria Saclay
> Neurospin, CEA Saclay, 91191 Gif sur Yvette
> +33 1 69 08 79 92
> http://pages.saclay.inria.fr/bertrand.thirion
>
> ------------------------------
>
> *From: *"Zvi Baratz" <z.baratz at gmail.com>
> *To: *"Neuroimaging analysis in Python" <neuroimaging at python.org>
> *Sent: *Monday, January 9, 2023 4:41:17 PM
> *Subject: *Re: [Neuroimaging] ANN: NiBabel 5.0
>
> 🎉 🙌
>
> Thank you for all your work on this release!
>
> On Mon, Jan 9, 2023 at 5:36 PM Christopher Markiewicz <
> markiewicz at stanford.edu> wrote:
>
>> Hi all,
>>
>> I'm pleased to announce the release of NiBabel 5.0!
>>
>> This version requires Python 3.8 and numpy 1.19, in accordance with our
>> version support schedule <https://github.com/nipy/nibabel/issues/803>.
>>
>> As with other major version releases, there are DeprecationWarnings that
>> will now become ExpiredDeprecationErrors, and ExpiredDeprecationErrors that
>> will now become AttributeErrors, as the deprecated features are
>> progressively removed.
>>
>> We had a shortened 4.x lifetime because it was discovered that a growing
>> number of images were being created with int64 data types and causing
>> problems with other neuroimaging tools. While the NIfTI standards permit
>> int64 data, it is not widely adopted and there is no clear use case that is
>> not better handled by float64. Therefore in 4.0, we introduced a warning if
>> users generated int64 images (easy to do with
>> `Nifti1Image(data.astype(int), affine)`) without providing an explicit
>> dtype (or pre-generated header). With 5.0, this warning has become an error.
>>
>> Additional changes in 5.0 include an updated SerializableImage interface
>> that allows you to serialize images to/from custom filehandles with
>> to_stream()/from_stream(), as well as load images from URLs using, e.g.,
>> Nifti1Image.from_url().
>>
>> With many thanks to everybody who reported issues, submitted patches, and
>> especially reviewed PRs.
>>
>> Please test out the new version and report any issues you have to
>> https://github.com/nipy/nibabel/issues.
>>
>> The full changelog can be found at
>> https://github.com/nipy/nibabel/releases/tag/5.0.0.
>>
>> Best,
>> --
>> Christopher J. Markiewicz, PhD
>> Center for Reproducible Neuroscience
>> Stanford University
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>>
>
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