depot/third_party/nixpkgs/pkgs/development/python-modules/pymc/default.nix
Default email ca5ab3a501 Project import generated by Copybara.
GitOrigin-RevId: 4a01ca36d6bfc133bc617e661916a81327c9bbc8
2022-07-14 08:49:19 -04:00

71 lines
1.3 KiB
Nix

{ lib
, aeppl
, aesara
, arviz
, buildPythonPackage
, cachetools
, cloudpickle
, fastprogress
, fetchFromGitHub
, numpy
, pythonOlder
, pythonRelaxDepsHook
, scipy
, typing-extensions
}:
buildPythonPackage rec {
pname = "pymc";
version = "4.1.2";
format = "setuptools";
disabled = pythonOlder "3.7";
src = fetchFromGitHub {
owner = "pymc-devs";
repo = "pymc";
rev = "refs/tags/v${version}";
hash = "sha256-QSM9wQwX5EdU6w8ALDSabTpo89GNIBMEB8hJEp9jQB4=";
};
nativeBuildInputs = [
pythonRelaxDepsHook
];
propagatedBuildInputs = [
aeppl
aesara
arviz
cachetools
cloudpickle
fastprogress
numpy
scipy
typing-extensions
];
postPatch = ''
substituteInPlace setup.py \
--replace ', "pytest-cov"' ""
'';
pythonRelaxDeps = [
"aesara"
"aeppl"
];
# 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";
license = licenses.asl20;
maintainers = with maintainers; [ nidabdella ];
};
}