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|
{ lib
, baycomp
, bottleneck
, buildPythonPackage
, chardet
, copyDesktopItems
, cython
, fetchFromGitHub
, fetchurl
, httpx
, joblib
, keyring
, keyrings-alt
, makeDesktopItem
, matplotlib
, nix-update-script
, numpy
, oldest-supported-numpy
, openpyxl
, opentsne
, orange-canvas-core
, orange-widget-base
, pandas
, pyqtgraph
, pyqtwebengine
, python
, python-louvain
, pythonOlder
, pyyaml
, qt5
, qtconsole
, recommonmark
, requests
, scikit-learn
, scipy
, serverfiles
, setuptools
, sphinx
, wheel
, xlrd
, xlsxwriter
}:
let
self = buildPythonPackage rec {
pname = "orange3";
version = "3.36.1";
disabled = pythonOlder "3.7";
src = fetchFromGitHub {
owner = "biolab";
repo = "orange3";
rev = "refs/tags/${version}";
hash = "sha256-O5ZN5O1vMkqiv83Q5UoaDefGnqVnDLPmYLLG20cdajk=";
};
postPatch = ''
substituteInPlace pyproject.toml \
--replace "setuptools>=41.0.0,<50.0" "setuptools"
sed -i 's;\(scikit-learn\)[^$]*;\1;g' requirements-core.txt
sed -i 's;pyqtgraph[^$]*;;g' requirements-gui.txt # TODO: remove after bump with a version greater than 0.13.1
'';
nativeBuildInputs = [
copyDesktopItems
cython
oldest-supported-numpy
qt5.wrapQtAppsHook
recommonmark
setuptools
sphinx
wheel
];
enableParallelBuilding = true;
propagatedBuildInputs = [
numpy
scipy
chardet
openpyxl
opentsne
qtconsole
bottleneck
matplotlib
joblib
requests
keyring
scikit-learn
pandas
pyqtwebengine
serverfiles
orange-canvas-core
python-louvain
xlrd
xlsxwriter
httpx
pyqtgraph
orange-widget-base
keyrings-alt
pyyaml
baycomp
];
# FIXME: ImportError: cannot import name '_variable' from partially initialized module 'Orange.data' (most likely due to a circular import) (/build/source/Orange/data/__init__.py)
doCheck = false;
pythonImportsCheck = [ "Orange" "Orange.data._variable" ];
desktopItems = [
(makeDesktopItem {
name = "orange";
exec = "orange-canvas";
desktopName = "Orange Data Mining";
genericName = "Data Mining Suite";
comment = "Explore, analyze, and visualize your data";
icon = "orange-canvas";
mimeTypes = [ "application/x-extension-ows" ];
categories = [ "Science" "Education" "ArtificialIntelligence" "DataVisualization" "NumericalAnalysis" "Qt" ];
keywords = [ "Machine Learning" "Scientific Visualization" "Statistical Analysis" ];
})
];
postInstall = ''
wrapProgram $out/bin/orange-canvas \
"${"$"}{qtWrapperArgs[@]}"
mkdir -p $out/share/icons/hicolor/{256x256,48x48}/apps
cp distribute/icon-256.png $out/share/icons/hicolor/256x256/apps/orange-canvas.png
cp distribute/icon-48.png $out/share/icons/hicolor/48x48/apps/orange-canvas.png
'';
passthru = {
updateScript = nix-update-script { };
tests.unittests = self.overridePythonAttrs (old: {
pname = "${old.pname}-tests";
format = "other";
preCheck = ''
export HOME=$(mktemp -d)
export QT_PLUGIN_PATH="${qt5.qtbase.bin}/${qt5.qtbase.qtPluginPrefix}"
export QT_QPA_PLATFORM_PLUGIN_PATH="${qt5.qtbase.bin}/lib/qt-${qt5.qtbase.version}/plugins";
export QT_QPA_PLATFORM=offscreen
rm Orange -rf
cp -r ${self}/${python.sitePackages}/Orange .
chmod +w -R .
rm Orange/tests/test_url_reader.py # uses network
rm Orange/tests/test_ada_boost.py # broken: The 'base_estimator' parameter of AdaBoostRegressor must be an object implementing 'fit' and 'predict' or a str among {'deprecated'}. Got None instead.
'';
checkPhase = ''
runHook preCheck
${python.interpreter} -m unittest -b -v ./Orange/**/test*.py
runHook postCheck
'';
postInstall = "";
doBuild = false;
doInstall = false;
nativeBuildInputs = [ self ] ++ old.nativeBuildInputs;
});
};
meta = with lib; {
description = "Data mining and visualization toolbox for novice and expert alike";
homepage = "https://orangedatamining.com/";
changelog = "https://github.com/biolab/orange3/blob/${version}/CHANGELOG.md";
license = with licenses; [ gpl3Plus ];
maintainers = with maintainers; [ lucasew ];
mainProgram = "orange-canvas";
};
};
in
self
|