depot/third_party/nixpkgs/pkgs/development/python-modules/pymc/default.nix
Default email 5e7c2d6cef Project import generated by Copybara.
GitOrigin-RevId: f99e5f03cc0aa231ab5950a15ed02afec45ed51a
2023-10-09 21:29:22 +02:00

60 lines
1.2 KiB
Nix

{ lib
, arviz
, buildPythonPackage
, cachetools
, cloudpickle
, fastprogress
, fetchFromGitHub
, numpy
, pytensor
, pythonOlder
, scipy
, typing-extensions
}:
buildPythonPackage rec {
pname = "pymc";
version = "5.9.0";
pyproject = true;
disabled = pythonOlder "3.9";
src = fetchFromGitHub {
owner = "pymc-devs";
repo = "pymc";
rev = "refs/tags/v${version}";
hash = "sha256-iaX1+SHGAJ9V2Jv76as5BcL5DcxURwX3aGa+R9YVtXY=";
};
propagatedBuildInputs = [
arviz
cachetools
cloudpickle
fastprogress
numpy
pytensor
scipy
typing-extensions
];
postPatch = ''
substituteInPlace setup.py \
--replace ', "pytest-cov"' ""
'';
# The test suite is computationally intensive and test failures are not
# indicative for package usability hence tests are disabled by default.
doCheck = false;
pythonImportsCheck = [
"pymc"
];
meta = with lib; {
description = "Bayesian estimation, particularly using Markov chain Monte Carlo (MCMC)";
homepage = "https://github.com/pymc-devs/pymc3";
changelog = "https://github.com/pymc-devs/pymc/releases/tag/v${version}";
license = licenses.asl20;
maintainers = with maintainers; [ nidabdella ];
};
}