depot/third_party/nixpkgs/pkgs/development/python-modules/prophet/default.nix
Default email 587713944a Project import generated by Copybara.
GitOrigin-RevId: 6143fc5eeb9c4f00163267708e26191d1e918932
2024-04-21 17:54:59 +02:00

70 lines
1.4 KiB
Nix

{ lib
, buildPythonPackage
, pythonOlder
, fetchFromGitHub
, setuptools
, cmdstanpy
, numpy
, matplotlib
, pandas
, holidays
, tqdm
, importlib-resources
, dask
, distributed
, pytestCheckHook
}:
buildPythonPackage rec {
pname = "prophet";
version = "1.1.5";
pyproject = true;
disabled = pythonOlder "3.7";
src = fetchFromGitHub {
owner = "facebook";
repo = "prophet";
rev = version;
hash = "sha256-liTg5Hm+FPpRQajBnnJKBh3JPGyu0Hflntf0isj1FiQ=";
};
sourceRoot = "${src.name}/python";
env.PROPHET_REPACKAGE_CMDSTAN = "false";
nativeBuildInputs = [ setuptools ];
propagatedBuildInputs = [
cmdstanpy
numpy
matplotlib
pandas
holidays
tqdm
importlib-resources
];
passthru.optional-dependencies.parallel = [ dask distributed ] ++ dask.optional-dependencies.dataframe;
preCheck = ''
# use the generated files from $out for testing
mv prophet/tests .
rm -r prophet
'';
nativeCheckInputs = [ pytestCheckHook ];
pythonImportsCheck = [ "prophet" ];
meta = {
changelog = "https://github.com/facebook/prophet/releases/tag/${src.rev}";
description = "A tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth";
homepage = "https://facebook.github.io/prophet/";
license = lib.licenses.mit;
maintainers = with lib.maintainers; [ tomasajt ];
};
}