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<!-- The actual name of your proposed change page should look something like: Changes/Your_Change_Proposal_Name.  This keeps all change proposals in the same namespace -->
= NumPy2 =
= NumPy2 =
{{Change_Proposal_Banner}}


== Summary ==
== Summary ==
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== Current status ==
== Current status ==
[[Category:ChangePageIncomplete]]
[[Category:ChangeAcceptedF42]]
<!-- When your change proposal page is completed and ready for review and announcement -->
<!-- When your change proposal page is completed and ready for review and announcement -->
<!-- remove Category:ChangePageIncomplete and change it to Category:ChangeReadyForWrangler -->
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<!-- After review, the Wrangler will move your page to Category:ChangeReadyForFesco... if it still needs more work it will move back to Category:ChangePageIncomplete-->
<!-- After review, the Wrangler will move your page to Category:ChangeReadyForFesco... if it still needs more work it will move back to Category:ChangePageIncomplete-->


<!-- Select proper category, default is Self Contained Change -->
[[Category:SystemWideChange]]
[[Category:SelfContainedChange]]
<!-- [[Category:SystemWideChange]] -->


* Targeted release: [https://docs.fedoraproject.org/en-US/releases/f<VERSION>/ Fedora Linux <VERSION>]
* Targeted release: [https://docs.fedoraproject.org/en-US/releases/f42/ Fedora Linux 42]
* Last updated: <!-- this is an automatic macro — you don't need to change this line -->  {{REVISIONYEAR}}-{{REVISIONMONTH}}-{{REVISIONDAY2}}  
* Last updated: <!-- this is an automatic macro — you don't need to change this line -->  {{REVISIONYEAR}}-{{REVISIONMONTH}}-{{REVISIONDAY2}}  
<!-- After the change proposal is accepted by FESCo, tracking bug is created in Bugzilla and linked to this page  
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ON_QA -> change is fully code complete
ON_QA -> change is fully code complete
-->
-->
* [Announced]
* [https://lists.fedoraproject.org/archives/list/devel-announce@lists.fedoraproject.org/thread/2GKHRODNKHKDZXZJ6J3OUN2XBYBT3TEJ/ Announced]
* [<will be assigned by the Wrangler> Discussion thread]
* [https://discussion.fedoraproject.org/t/f42-change-proposal-numpy-2-system-wide/136633 Discussion thread]
* FESCo issue: <will be assigned by the Wrangler>
* FESCo issue: [https://pagure.io/fesco/issue/3295 #3295]
* Tracker bug: <will be assigned by the Wrangler>
* Tracker bug: [https://bugzilla.redhat.com/show_bug.cgi?id=2332647 #2332647]
* Release notes tracker: <will be assigned by the Wrangler>
* Release notes tracker: <will be assigned by the Wrangler>


== Detailed Description ==
== Detailed Description ==
<!-- Expand on the summary, if appropriate. A couple sentences suffices to explain the goal, but the more details you can provide the better. -->
Updating numpy from the 1.x to 2.x series will Just Work for some packages. Those using the C API will need to be rebuilt. Additionally, many packages are pinned to numpy < 2, and these will need to be loosened.


== Feedback ==
== Feedback ==
<!-- Summarize the feedback from the community and address why you chose not to accept proposed alternatives. This section is optional for all change proposals but is strongly suggested. Incorporating feedback here as it is raised gives FESCo a clearer view of your proposal and leaves a good record for the future. If you get no feedback, that is useful to note in this section as well. For innovative or possibly controversial ideas, consider collecting feedback before you file the change proposal. -->
<!-- Summarize the feedback from the community and address why you chose not to accept proposed alternatives. This section is optional for all change proposals but is strongly suggested. Incorporating feedback here as it is raised gives FESCo a clearer view of your proposal and leaves a good record for the future. If you get no feedback, that is useful to note in this section as well. For innovative or possibly controversial ideas, consider collecting feedback before you file the change proposal. -->
I've experimented with this in copr, as well as tracked updates to a few packages in preparation for this. One example is scipy, which was recently updated to a version supporting numpy2, and this will reduce the number of impacted packages.


== Benefit to Fedora ==
== Benefit to Fedora ==
In addition to tracking upstream and receiving more up-to-date fixes and security updates, numpy2 brings many improvements to the library:
https://numpy.org/devdocs/release/2.0.0-notes.html
https://blog.scientific-python.org/numpy/numpy2/
<!-- What is the benefit to the distribution?  Will the software we generate be improved? How will the process of creating Fedora releases be improved?
<!-- What is the benefit to the distribution?  Will the software we generate be improved? How will the process of creating Fedora releases be improved?
    
    
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== Scope ==
== Scope ==
* Proposal owners:
* Proposal owners:
Update numpy2 package to 2.1.x in f43 immediately after f42 mass branching.
Help rebuild and patch impacted packages as needed.
<!-- What work do the feature owners have to accomplish to complete the feature in time for release?  Is it a large change affecting many parts of the distribution or is it a very isolated change? What are those changes?-->
<!-- What work do the feature owners have to accomplish to complete the feature in time for release?  Is it a large change affecting many parts of the distribution or is it a very isolated change? What are those changes?-->


* Other developers: <!-- REQUIRED FOR SYSTEM WIDE CHANGES -->
* Other developers: <!-- REQUIRED FOR SYSTEM WIDE CHANGES -->
Rebuild and patch impacted packages. Most will only require a pin adjustment and/or rebuild.
<!-- What work do other developers have to accomplish to complete the feature in time for release?  Is it a large change affecting many parts of the distribution or is it a very isolated change? What are those changes?-->
<!-- What work do other developers have to accomplish to complete the feature in time for release?  Is it a large change affecting many parts of the distribution or is it a very isolated change? What are those changes?-->


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== Upgrade/compatibility impact ==
== Upgrade/compatibility impact ==
Successfully rebuilt packages should not have any compatibility issues.
<!-- What happens to systems that have had a previous versions of Fedora installed and are updated to the version containing this change? Will anything require manual configuration or data migration? Will any existing functionality be no longer supported? -->
<!-- What happens to systems that have had a previous versions of Fedora installed and are updated to the version containing this change? Will anything require manual configuration or data migration? Will any existing functionality be no longer supported? -->


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== How To Test ==
== How To Test ==
Run applications that use numpy or one of it's dependencies.
<!-- This does not need to be a full-fledged document. Describe the dimensions of tests that this change implementation is expected to pass when it is done.  This can be based off of the above section if early testing has been completed. If it needs to be tested with different hardware or software configurations, indicate them.  The more specific you can be, the better the community testing can be.  
<!-- This does not need to be a full-fledged document. Describe the dimensions of tests that this change implementation is expected to pass when it is done.  This can be based off of the above section if early testing has been completed. If it needs to be tested with different hardware or software configurations, indicate them.  The more specific you can be, the better the community testing can be.  


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== User Experience ==
== User Experience ==
End users should not notice any changes.
Python developers will need to rebuild C API code against numpy2, and can then take advantage of new features.
<!-- If this change proposal is noticeable by users, how will their experiences change as a result?
<!-- If this change proposal is noticeable by users, how will their experiences change as a result?


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== Dependencies ==
== Dependencies ==
apbs
APLpy
arbor
astrometry
asv
aubio
blender
boost
bout++
cantera
coin-or-HiGHS
Cython
DisplayCAL
dolfin
espresso
flatbuffers
gau2grid
gdal
gdl
ginga
gnuradio
gr-air-modes
grass
h5py
ipython
lammps
libarrow
libcint
libfreenect
libxc
mathgl
Mayavi
mlir
mlir17
mlpack
moose
mopac
morphio
mypaint
myst-nb
nanovna-saver
netcdf4-python
nfsometer
NLopt
ocaml-pyml
onnx
onnxruntime
opencv
openmeeg
openms
openshadinglanguage
openvdb
paraview
PDAL
petsc
pgzero
plplot
ProDy
psi4
pybind11
pygame
pygrib
pygsl
PyMca
pymol
pyplane
pyproj
pytest
python-adjustText
python-animatplot
python-annarchy
python-array-api-strict
python-arviz
python-ase
python-astroML
python-astroplan
python-astropy
python-astropy-healpix
python-astroquery
python-astroscrappy
python-autograd
python-basemap
python-bioframe
python-biopython
python-bioread
python-blosc
python-blosc2
python-bluepyopt
python-Bottleneck
python-boutdata
python-boututils
python-branca
python-brian2
python-brukerapi
python-cairocffi
python-calcephpy
python-cartopy
python-ccdproc
python-cclib
python-cftime
python-chaospy
python-cma
python-cmake-build-extension
python-cmap
python-collada
python-colormath2
python-colorspacious
python-contextualbandits
python-contourpy
python-cramjam
python-crick
python-cro
python-cyipopt
python-dask
python-deap
python-deepdiff
python-dijitso
python-dipy
python-distributed
python-ducc0
python-duecredit
python-earthpy
python-eccodes
python-efel
python-elasticsearch
python-elephant
python-emcee
python-ephyviewer
python-exdir
python-ezdxf
python-fastavro
python-fast-simplification
python-ffc
python-fiat
python-fiona
python-fireflyalgorithm
python-fisx
python-fitsio
python-folium
python-formulaic
python-fsleyes
python-fsleyes-props
python-fsleyes-widgets
python-fslpy
python-fsspec
python-geomdl
python-geopandas
python-geotiler
python-glymur
python-gradunwarp
python-graph-tool
python-gsd
python-h5io
python-hamcrest
python-hdf5storage
python-hdmf
python-healpy
python-hypothesis
python-igraph
python-imagecodecs
python-imageio
python-imbalanced-learn
python-img2pdf
python-indexed_gzip
python-inkex
python-inspyred
python-intern
python-joblib
python-jsonpickle
python-klusta
python-lazyarray
python-lazy-loader
python-lazy-ops
python-lfpy
python-lfpykit
python-libNeuroML
python-libpysal
python-llama-cpp-python
python-logdetective
python-lqrt
python-lsp-server
python-mapbox-earcut
python-mapclassify
python-matplotlib
python-meautility
python-meshio
python-missingno
python-mizani
python-mmtf
python-mne
python-mne-bids
python-mockito
python-mrcfile
python-multiecho
python-music21
python-nashpy
python-ndindex
python-neatdend
python-neo
python-netpyne
python-neurodsp
python-neurom
python-neurosynth
python-niaaml
python-niaarm
python-niaclass
python-niapy
python-nibabel
python-nifti-mrs
python-nilearn
python-nipy
python-nixio
python-nmrglue
python-nptyping
python-numcodecs
python-numexpr
python-numpoly
python-numpy-stl
python-openctm
python-opfunu
python-optking
python-optuna
python-opytimark
python-opytimizer
python-orjson
python-pandas
python-pandas-datareader
python-partd
python-periodictable
python-photutils
python-pillow
python-pingouin
python-pint
python-plotnine
python-probeinterface
python-pyABF
python-pyairvisual
python-pybbi
python-pybids
python-pybv
python-pydantic-core
python-pydapsys
python-pydicom
python-pyedflib
python-pyelectro
python-pyemd
python-pyerfa
python-pyface
python-pygmtools
python-pykdtree
python-pymapvbvd
python-pymatreader
python-pynn
python-pynwb
python-pyongc
python-pyopencl
python-pyopengl
python-pypet
python-pyphi
python-pyqtgraph
python-pyriemann
python-pyscf
python-pyshtools
python-pyside6
python-pyspike
python-pytest7
python-pytest-arraydiff
python-pytest-doctestplus
python-pytest-randomly
python-pytest-regressions
python-python-fcl
python-pytools
python-pyunicorn
python-pywt
python-pyxdf
python-qcelemental
python-quantities
python-qudida
python-rapidfuzz
python-rasterio
python-ratinabox
python-redis
python-reproject
python-Rtree
python-SALib
python-scikit-image
python-scikit-learn
python-scikit-misc
python-seaborn
python-sep
python-sgp4
python-shapely
python-simframe
python-sklearn-genetic
python-sklearn-genetic-opt
python-sklearn-nature-inspired-algorithms
python-smart_open
python-snuggs
python-sortedcontainers
python-sphinx-gallery
python-sport-activities-features
python-spyking-circus
python-stackprinter
python-statsmodels
python-steps
python-stochastic
python-succulent
python-superqt
python-supersmoother
python-tables
python-tabulate
python-textdistance
python-tifffile
python-tinygrad
python-toml
python-torch
python-torchvision
python-tqdm
python-Traits
python-traitsui
python-transforms3d
python-trimesh
python-trx-python
python-tvb-gdist
python-typish
python-uranium
python-vedo
python-vhacdx
python-wavio
python-wordcloud
python-wxpython4
python-xarray
python-xarray-einstats
python-yfinance
python-zarr
python-zmq
python-zoidberg
pythran
quantum-espresso
root
R-reticulate
scipy
setzer
shybrid
SoapySDR
spec2nii
spglib
stats-collect
sympy
uhd
urh
veusz
vigra
wult
xcfun
xtensor
xtensor-python
<!-- What other packages (RPMs) depend on this package?  Are there changes outside the developers' control on which completion of this change depends?  In other words, completion of another change owned by someone else and might cause you to not be able to finish on time or that you would need to coordinate?  Other upstream projects like the kernel (if this is not a kernel change)? -->
<!-- What other packages (RPMs) depend on this package?  Are there changes outside the developers' control on which completion of this change depends?  In other words, completion of another change owned by someone else and might cause you to not be able to finish on time or that you would need to coordinate?  Other upstream projects like the kernel (if this is not a kernel change)? -->


Line 146: Line 866:


<!-- If you cannot complete your feature by the final development freeze, what is the backup plan?  This might be as simple as "Revert the shipped configuration".  Or it might not (e.g. rebuilding a number of dependent packages).  If you feature is not completed in time we want to assure others that other parts of Fedora will not be in jeopardy.  -->
<!-- If you cannot complete your feature by the final development freeze, what is the backup plan?  This might be as simple as "Revert the shipped configuration".  Or it might not (e.g. rebuilding a number of dependent packages).  If you feature is not completed in time we want to assure others that other parts of Fedora will not be in jeopardy.  -->
* Contingency mechanism: (What to do?  Who will do it?) N/A (not a System Wide Change)  <!-- REQUIRED FOR SYSTEM WIDE CHANGES -->
* Contingency mechanism: Depending on scope of packages not fixed, Gwyn will either help fix those packages, or create a compat package and patch packages to use that. <!-- REQUIRED FOR SYSTEM WIDE CHANGES -->
<!-- When is the last time the contingency mechanism can be put in place?  This will typically be the beta freeze. -->
<!-- When is the last time the contingency mechanism can be put in place?  This will typically be the beta freeze. -->
* Contingency deadline: N/A (not a System Wide Change)  <!-- REQUIRED FOR SYSTEM WIDE CHANGES -->
* Contingency deadline: Beta Freeze <!-- REQUIRED FOR SYSTEM WIDE CHANGES -->
<!-- Does finishing this feature block the release, or can we ship with the feature in incomplete state? -->
<!-- Does finishing this feature block the release, or can we ship with the feature in incomplete state? -->
* Blocks release? N/A (not a System Wide Change), Yes/No <!-- REQUIRED FOR SYSTEM WIDE CHANGES -->
* Blocks release? No <!-- REQUIRED FOR SYSTEM WIDE CHANGES -->




Line 157: Line 877:


<!-- REQUIRED FOR SYSTEM WIDE CHANGES -->
<!-- REQUIRED FOR SYSTEM WIDE CHANGES -->
N/A (not a System Wide Change)
Links provided above to upstream release notes. Document compat package if applicable.


== Release Notes ==
== Release Notes ==

Latest revision as of 20:16, 16 December 2024

NumPy2

Summary

Update the numpy package from 1.x to 2.x (1.26.4 to 2.1.3 currently).

Owner


Current status

Detailed Description

Updating numpy from the 1.x to 2.x series will Just Work for some packages. Those using the C API will need to be rebuilt. Additionally, many packages are pinned to numpy < 2, and these will need to be loosened.

Feedback

I've experimented with this in copr, as well as tracked updates to a few packages in preparation for this. One example is scipy, which was recently updated to a version supporting numpy2, and this will reduce the number of impacted packages.

Benefit to Fedora

In addition to tracking upstream and receiving more up-to-date fixes and security updates, numpy2 brings many improvements to the library:

https://numpy.org/devdocs/release/2.0.0-notes.html

https://blog.scientific-python.org/numpy/numpy2/

Scope

  • Proposal owners:

Update numpy2 package to 2.1.x in f43 immediately after f42 mass branching. Help rebuild and patch impacted packages as needed.

  • Other developers:

Rebuild and patch impacted packages. Most will only require a pin adjustment and/or rebuild.

  • Policies and guidelines: N/A (not needed for this Change)
  • Trademark approval: N/A (not needed for this Change)
  • Alignment with the Fedora Strategy:

Upgrade/compatibility impact

Successfully rebuilt packages should not have any compatibility issues.


Early Testing (Optional)

Do you require 'QA Blueprint' support? Y/N

How To Test

Run applications that use numpy or one of it's dependencies.


User Experience

End users should not notice any changes. Python developers will need to rebuild C API code against numpy2, and can then take advantage of new features.

Dependencies

apbs

APLpy

arbor

astrometry

asv

aubio

blender

boost

bout++

cantera

coin-or-HiGHS

Cython

DisplayCAL

dolfin

espresso

flatbuffers

gau2grid

gdal

gdl

ginga

gnuradio

gr-air-modes

grass

h5py

ipython

lammps

libarrow

libcint

libfreenect

libxc

mathgl

Mayavi

mlir

mlir17

mlpack

moose

mopac

morphio

mypaint

myst-nb

nanovna-saver

netcdf4-python

nfsometer

NLopt

ocaml-pyml

onnx

onnxruntime

opencv

openmeeg

openms

openshadinglanguage

openvdb

paraview

PDAL

petsc

pgzero

plplot

ProDy

psi4

pybind11

pygame

pygrib

pygsl

PyMca

pymol

pyplane

pyproj

pytest

python-adjustText

python-animatplot

python-annarchy

python-array-api-strict

python-arviz

python-ase

python-astroML

python-astroplan

python-astropy

python-astropy-healpix

python-astroquery

python-astroscrappy

python-autograd

python-basemap

python-bioframe

python-biopython

python-bioread

python-blosc

python-blosc2

python-bluepyopt

python-Bottleneck

python-boutdata

python-boututils

python-branca

python-brian2

python-brukerapi

python-cairocffi

python-calcephpy

python-cartopy

python-ccdproc

python-cclib

python-cftime

python-chaospy

python-cma

python-cmake-build-extension

python-cmap

python-collada

python-colormath2

python-colorspacious

python-contextualbandits

python-contourpy

python-cramjam

python-crick

python-cro

python-cyipopt

python-dask

python-deap

python-deepdiff

python-dijitso

python-dipy

python-distributed

python-ducc0

python-duecredit

python-earthpy

python-eccodes

python-efel

python-elasticsearch

python-elephant

python-emcee

python-ephyviewer

python-exdir

python-ezdxf

python-fastavro

python-fast-simplification

python-ffc

python-fiat

python-fiona

python-fireflyalgorithm

python-fisx

python-fitsio

python-folium

python-formulaic

python-fsleyes

python-fsleyes-props

python-fsleyes-widgets

python-fslpy

python-fsspec

python-geomdl

python-geopandas

python-geotiler

python-glymur

python-gradunwarp

python-graph-tool

python-gsd

python-h5io

python-hamcrest

python-hdf5storage

python-hdmf

python-healpy

python-hypothesis

python-igraph

python-imagecodecs

python-imageio

python-imbalanced-learn

python-img2pdf

python-indexed_gzip

python-inkex

python-inspyred

python-intern

python-joblib

python-jsonpickle

python-klusta

python-lazyarray

python-lazy-loader

python-lazy-ops

python-lfpy

python-lfpykit

python-libNeuroML

python-libpysal

python-llama-cpp-python

python-logdetective

python-lqrt

python-lsp-server

python-mapbox-earcut

python-mapclassify

python-matplotlib

python-meautility

python-meshio

python-missingno

python-mizani

python-mmtf

python-mne

python-mne-bids

python-mockito

python-mrcfile

python-multiecho

python-music21

python-nashpy

python-ndindex

python-neatdend

python-neo

python-netpyne

python-neurodsp

python-neurom

python-neurosynth

python-niaaml

python-niaarm

python-niaclass

python-niapy

python-nibabel

python-nifti-mrs

python-nilearn

python-nipy

python-nixio

python-nmrglue

python-nptyping

python-numcodecs

python-numexpr

python-numpoly

python-numpy-stl

python-openctm

python-opfunu

python-optking

python-optuna

python-opytimark

python-opytimizer

python-orjson

python-pandas

python-pandas-datareader

python-partd

python-periodictable

python-photutils

python-pillow

python-pingouin

python-pint

python-plotnine

python-probeinterface

python-pyABF

python-pyairvisual

python-pybbi

python-pybids

python-pybv

python-pydantic-core

python-pydapsys

python-pydicom

python-pyedflib

python-pyelectro

python-pyemd

python-pyerfa

python-pyface

python-pygmtools

python-pykdtree

python-pymapvbvd

python-pymatreader

python-pynn

python-pynwb

python-pyongc

python-pyopencl

python-pyopengl

python-pypet

python-pyphi

python-pyqtgraph

python-pyriemann

python-pyscf

python-pyshtools

python-pyside6

python-pyspike

python-pytest7

python-pytest-arraydiff

python-pytest-doctestplus

python-pytest-randomly

python-pytest-regressions

python-python-fcl

python-pytools

python-pyunicorn

python-pywt

python-pyxdf

python-qcelemental

python-quantities

python-qudida

python-rapidfuzz

python-rasterio

python-ratinabox

python-redis

python-reproject

python-Rtree

python-SALib

python-scikit-image

python-scikit-learn

python-scikit-misc

python-seaborn

python-sep

python-sgp4

python-shapely

python-simframe

python-sklearn-genetic

python-sklearn-genetic-opt

python-sklearn-nature-inspired-algorithms

python-smart_open

python-snuggs

python-sortedcontainers

python-sphinx-gallery

python-sport-activities-features

python-spyking-circus

python-stackprinter

python-statsmodels

python-steps

python-stochastic

python-succulent

python-superqt

python-supersmoother

python-tables

python-tabulate

python-textdistance

python-tifffile

python-tinygrad

python-toml

python-torch

python-torchvision

python-tqdm

python-Traits

python-traitsui

python-transforms3d

python-trimesh

python-trx-python

python-tvb-gdist

python-typish

python-uranium

python-vedo

python-vhacdx

python-wavio

python-wordcloud

python-wxpython4

python-xarray

python-xarray-einstats

python-yfinance

python-zarr

python-zmq

python-zoidberg

pythran

quantum-espresso

root

R-reticulate

scipy

setzer

shybrid

SoapySDR

spec2nii

spglib

stats-collect

sympy

uhd

urh

veusz

vigra

wult

xcfun

xtensor

xtensor-python



Contingency Plan

  • Contingency mechanism: Depending on scope of packages not fixed, Gwyn will either help fix those packages, or create a compat package and patch packages to use that.
  • Contingency deadline: Beta Freeze
  • Blocks release? No


Documentation

Links provided above to upstream release notes. Document compat package if applicable.

Release Notes

Retrieved from "https://fedoraproject.org/w/index.php?title=Changes/NumPy2&oldid=727325"