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{ buildPythonPackage, fetchFromGitHub, lib, pythonOlder
, clang_12, python
, graphviz, matplotlib, numpy, pandas, plotly, scipy, six
, withCuda ? false, cudatoolkit }:
buildPythonPackage rec {
pname = "catboost";
# nixpkgs-update: no auto update
version = "1.0.5";
disabled = pythonOlder "3.4";
src = fetchFromGitHub {
owner = "catboost";
repo = "catboost";
rev = "refs/tags/v${version}";
hash = "sha256-ILemeZUBI9jPb9G6F7QX/T1HaVhQ+g6y7YmsT6DFCJk";
};
nativeBuildInputs = [ clang_12 ];
propagatedBuildInputs = [ graphviz matplotlib numpy pandas scipy plotly six ]
++ lib.optionals withCuda [ cudatoolkit ];
patches = [
./nix-support.patch
];
postPatch = ''
# substituteInPlace is too slow for these large files, and the target has lots of numbers in it that change often.
sed -e 's|\$(YMAKE_PYTHON3-.*)/python3|${python.interpreter}|' -i make/*.makefile
'';
preBuild = ''
cd catboost/python-package
'';
setupPyBuildFlags = [ "--with-ymake=no" ];
CUDA_ROOT = lib.optional withCuda cudatoolkit;
enableParallelBuilding = true;
# Tests use custom "ya" tool, not yet supported.
dontUseSetuptoolsCheck = true;
pythonImportsCheck = [ "catboost" ];
passthru = {
# Do not update to catboost 1.1.x because the patch doesn't apply cleanly
skipBulkUpdate = true;
};
meta = with lib; {
description = "High-performance library for gradient boosting on decision trees.";
longDescription = ''
A fast, scalable, high performance Gradient Boosting on Decision Trees
library, used for ranking, classification, regression and other machine
learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
'';
license = licenses.asl20;
platforms = [ "x86_64-linux" ];
homepage = "https://catboost.ai";
maintainers = with maintainers; [ PlushBeaver ];
# _catboost.pyx.cpp:226822:19: error: use of undeclared identifier '_PyGen_Send'
broken = withCuda;
};
}
|