Spec URL: https://ankursinha.fedorapeople.org/python-tvb-data/python-tvb-data.spec SRPM URL: https://ankursinha.fedorapeople.org/python-tvb-data/python-tvb-data-1.5.6-1.20191229git7d2d05b.fc29.src.rpm Description: The Virtual Brain Project (TVB Project) has the purpose of offering some modern tools to the Neurosciences community, for computing, simulating and analyzing functional and structural data of human brains. Various demonstration datasets for use with The Virtual Brain are provided here. Fedora Account System Username: ankursinha rawhide scratch build: https://koji.fedoraproject.org/koji/taskinfo?taskID=31716759
Empty %check?
Please BR python3-setuptools explicitly.
Updated: https://ankursinha.fedorapeople.org/python-tvb-data/python-tvb-data.spec https://ankursinha.fedorapeople.org/python-tvb-data/python-tvb-data-1.5.6-2.20191229git7d2d05b.fc29.src.rpm Rawhide scratch build: https://koji.fedoraproject.org/koji/taskinfo?taskID=31854227 Cheers, Ankur
Links for Fedora Review: Spec URL: https://ankursinha.fedorapeople.org/python-tvb-data/python-tvb-data.spec SRPM URL: https://ankursinha.fedorapeople.org/python-tvb-data/python-tvb-data-1.5.6-2.20191229git7d2d05b.fc29.src.rpm
From LICENSE: This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. That's GPLv3+ as well.
Fedora review is choking on this one for a while. python-tvb-data.src: W: spelling-error %description -l en_US datasets -> data sets, data-sets, databases python3-tvb-data.noarch: W: spelling-error %description -l en_US datasets -> data sets, data-sets, databases 2 packages and 0 specfiles checked; 0 errors, 2 warnings. Good. $ rpm -qp --requires python3-tvb-data-1.5.6-2.20191229git7d2d05b.fc30.noarch.rpm python(abi) = 3.7 rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PartialHardlinkSets) <= 4.0.4-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1 rpmlib(PayloadIsXz) <= 5.2-1 $ rpm -qp --requires python-tvb-data-1.5.6-2.20191229git7d2d05b.fc30.src.rpm python3-devel python3-setuptools rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 $ rpm -qp --provides python3-tvb-data-1.5.6-2.20191229git7d2d05b.fc30.noarch.rpm python3-tvb-data = 1.5.6-2.20191229git7d2d05b.fc30 python3.7dist(tvb-data) = 1.5.6 python3dist(tvb-data) = 1.5.6 Note that there is code in the package, not only data, and the code has 3rd party requirements: $ rg import usr/lib/python3.7/site-packages/tvb_data/sensors/view_h5_3d.py 1:import numpy 2:import h5py 3:from mayavi import mlab 65:import os.path usr/lib/python3.7/site-packages/tvb_data/obj/scale_obj.py 42:import math 43:import numpy as np usr/lib/python3.7/site-packages/tvb_data/surfaceData/surface_fixes.py 1:import os usr/lib/python3.7/site-packages/tvb_data/mantini66/adapt.py 49:import numpy 50:import os.path 51:import scipy.io 52:import tvb_data.connectivity.epfl 53:import tvb_data.regionMapping.epfl_ph0036 54:from tvb.adapters.uploaders.abcuploader import ABCUploader 55:from tvb.core.entities.file.files_helper import FilesHelper usr/lib/python3.7/site-packages/tvb_data/cff/networkx_migration.py 35:import networkx 36:import tempfile 37:import os 38:import shutil 39:from cfflib import load, save_to_cff usr/lib/python3.7/site-packages/tvb_data/regionMapping/for_toronto_parcelation_96/volume_to_regionmap.py 40:from tvb_data.regionMapping.for_toronto_parcelation_96.svmap import load_nii, load_region_id_to_index_map 41:from tvb_data.regionMapping.for_toronto_parcelation_96.svmap import load_region_centers, load_vertices, Mapper 45: import matplotlib.pyplot as plt usr/lib/python3.7/site-packages/tvb_data/regionMapping/for_toronto_parcelation_96/svmap.py 35:import numpy as np 36:import nibabel 37:from collections import Counter usr/lib/python3.7/site-packages/tvb_data/mantini66/process_images/transparent_background.py 31:import os 32:from PIL import Image usr/lib/python3.7/site-packages/tvb_data/mantini66/process_images/glue_images.py 31:from PIL import Image
(In reply to Miro Hrončok from comment #6) > Fedora review is choking on this one for a while. It's a largish src rpm (300+M) :/ > > Note that there is code in the package, not only data, and the code has 3rd > party requirements: > Ugh, I missed that. Sorry. I'll update the spec. Fortunately, all the libraries it imports seem to be available in Fedora already.
Yes but the footprint of them combined is quite large. Please check how exactly are those files used and if they need to be shipped or if the dependencies might become optional.
I've updated the spec to include the required packages. They're not optional, unfortunately. We're going to be seeing such large footprints for a lot of the neuro-imaging software that includes data-sets also: ./tvb_data/tables/__init__.py ./tvb_data/connectivity/__init__.py ./tvb_data/obj/__init__.py ./tvb_data/gifti/__init__.py ./tvb_data/__init__.py ./tvb_data/regionMapping/for_toronto_parcelation_96/__init__.py ./tvb_data/regionMapping/__init__.py ./tvb_data/mantini66/__init__.py ./tvb_data/mantini66/process_images/__init__.py ./tvb_data/local_connectivity/__init__.py ./tvb_data/projectionMatrix/__init__.py ./tvb_data/nifti/__init__.py ./tvb_data/mouse/__init__.py ./tvb_data/surfaceData/__init__.py ./tvb_data/h5/__init__.py ./tvb_data/sensors/__init__.py ./tvb_data/cff/__init__.py One of the deps, cfflib, is not packaged, and does not work with python3. Upstream has said it's a dead project. I've spoken to the tvb-devs, and they've said that they'll work on replacing that module (it'll come up again in tvb-library). So, for the time being, I've set it as a weak dependency. Updated spec/srpm: https://ankursinha.fedorapeople.org/python-tvb-data/python-tvb-data.spec https://ankursinha.fedorapeople.org/python-tvb-data/python-tvb-data-1.5.6-4.20191229git7d2d05b.fc29.src.rpm Cheers, Ankur.
Sorry for the delay. Package APPROVED.
Thanks very much. SCM requested: https://pagure.io/releng/fedora-scm-requests/issue/9485
(fedscm-admin): The Pagure repository was created at https://src.fedoraproject.org/rpms/python-tvb-data
python-tvb-data-1.5.6-4.20191229git7d2d05b.fc28 has been submitted as an update to Fedora 28. https://bodhi.fedoraproject.org/updates/FEDORA-2019-5e7dbe87d4
python-tvb-data-1.5.6-4.20191229git7d2d05b.fc29 has been submitted as an update to Fedora 29. https://bodhi.fedoraproject.org/updates/FEDORA-2019-872277e166
python-tvb-data-1.5.6-4.20191229git7d2d05b.fc29 has been pushed to the Fedora 29 testing repository. If problems still persist, please make note of it in this bug report. See https://fedoraproject.org/wiki/QA:Updates_Testing for instructions on how to install test updates. You can provide feedback for this update here: https://bodhi.fedoraproject.org/updates/FEDORA-2019-872277e166
python-tvb-data-1.5.6-4.20191229git7d2d05b.fc28 has been pushed to the Fedora 28 testing repository. If problems still persist, please make note of it in this bug report. See https://fedoraproject.org/wiki/QA:Updates_Testing for instructions on how to install test updates. You can provide feedback for this update here: https://bodhi.fedoraproject.org/updates/FEDORA-2019-5e7dbe87d4
python-tvb-data-1.5.6-4.20191229git7d2d05b.fc28 has been pushed to the Fedora 28 stable repository. If problems still persist, please make note of it in this bug report.
python-tvb-data-1.5.6-4.20191229git7d2d05b.fc29 has been pushed to the Fedora 29 stable repository. If problems still persist, please make note of it in this bug report.