mirror of
https://github.com/NixOS/nixpkgs.git
synced 2024-12-21 05:04:00 +00:00
65 lines
2.0 KiB
Nix
65 lines
2.0 KiB
Nix
{ buildPythonPackage, fetchFromGitHub, lib, pythonOlder
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, clang_12, python
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, graphviz, matplotlib, numpy, pandas, plotly, scipy, six
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, withCuda ? false, cudatoolkit }:
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buildPythonPackage rec {
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pname = "catboost";
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# nixpkgs-update: no auto update
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version = "1.0.5";
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disabled = pythonOlder "3.4";
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src = fetchFromGitHub {
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owner = "catboost";
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repo = "catboost";
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rev = "refs/tags/v${version}";
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hash = "sha256-ILemeZUBI9jPb9G6F7QX/T1HaVhQ+g6y7YmsT6DFCJk";
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};
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nativeBuildInputs = [ clang_12 ];
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propagatedBuildInputs = [ graphviz matplotlib numpy pandas scipy plotly six ]
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++ lib.optionals withCuda [ cudatoolkit ];
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patches = [
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./nix-support.patch
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];
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postPatch = ''
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# substituteInPlace is too slow for these large files, and the target has lots of numbers in it that change often.
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sed -e 's|\$(YMAKE_PYTHON3-.*)/python3|${python.interpreter}|' -i make/*.makefile
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'';
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preBuild = ''
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cd catboost/python-package
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'';
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setupPyBuildFlags = [ "--with-ymake=no" ];
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CUDA_ROOT = lib.optional withCuda cudatoolkit;
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enableParallelBuilding = true;
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# Tests use custom "ya" tool, not yet supported.
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dontUseSetuptoolsCheck = true;
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pythonImportsCheck = [ "catboost" ];
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passthru = {
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# Do not update to catboost 1.1.x because the patch doesn't apply cleanly
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skipBulkUpdate = true;
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};
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meta = with lib; {
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description = "High-performance library for gradient boosting on decision trees.";
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longDescription = ''
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A fast, scalable, high performance Gradient Boosting on Decision Trees
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library, used for ranking, classification, regression and other machine
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learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
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'';
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license = licenses.asl20;
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platforms = [ "x86_64-linux" ];
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homepage = "https://catboost.ai";
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maintainers = with maintainers; [ PlushBeaver ];
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# _catboost.pyx.cpp:226822:19: error: use of undeclared identifier '_PyGen_Send'
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broken = withCuda;
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};
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}
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