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{
stdenv,
lib,
buildPythonPackage,
fetchFromGitHub,
fetchpatch,
# build-system
setuptools,
# dependencies
numpy,
pandas,
pydantic,
tqdm,
toolz,
# optional dependencies (torch)
torch,
lightning,
scipy,
# test
pytestCheckHook,
distutils,
matplotlib,
pyarrow,
statsmodels,
writableTmpDirAsHomeHook,
which,
}:
buildPythonPackage rec {
pname = "gluonts";
version = "0.16.2";
pyproject = true;
src = fetchFromGitHub {
owner = "awslabs";
repo = "gluonts";
tag = "v${version}";
hash = "sha256-h0+RYgGMz0gPchiKGIu0/NGcWBky5AWNTJKzoupn/iQ=";
};
patches = [
# Fixes _pickle.UnpicklingError: Weights only load failed.
# https://github.com/awslabs/gluonts/pull/3269
(fetchpatch {
name = "fix-torch-load_from_checkpoint";
url = "https://github.com/awslabs/gluonts/pull/3269/commits/6420e75cfbeabcd94e2ff09dfed3b2eeb4881710.patch";
hash = "sha256-UeLjgKra+Y3uPoTBle+YCxD0a1ahu6d5anrMHn4HH2I=";
})
];
build-system = [
setuptools
];
dependencies = [
numpy
pandas
pydantic
tqdm
toolz
];
optional-dependencies = {
torch = [
torch
lightning
scipy
];
};
pythonRelaxDeps = [
"numpy"
"toolz"
];
pythonImportsCheck = [
"gluonts"
"gluonts.core"
"gluonts.dataset"
"gluonts.ev"
"gluonts.evaluation"
"gluonts.ext"
"gluonts.model"
"gluonts.shell"
"gluonts.time_feature"
"gluonts.torch"
"gluonts.transform"
];
nativeCheckInputs = [
pytestCheckHook
distutils
matplotlib
pyarrow
statsmodels
writableTmpDirAsHomeHook
which
]
++ optional-dependencies.torch;
disabledTestPaths = [
# requires `cpflows`, not in Nixpkgs
"test/torch/model"
];
disabledTests = [
# tries to access network
"test_against_former_evaluator"
]
++ lib.optionals stdenv.hostPlatform.isDarwin [
# RuntimeError: *** -[__NSPlaceholderArray initWithObjects:count:]: attempt to insert nil object from objects[1]
"test_forecast"
];
meta = {
description = "Probabilistic time series modeling in Python";
homepage = "https://ts.gluon.ai";
changelog = "https://github.com/awslabs/gluonts/releases/tag/${src.tag}";
license = lib.licenses.asl20;
maintainers = with lib.maintainers; [ bcdarwin ];
};
}
|