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{ lib
, buildPythonPackage
, fetchFromGitHub
, setuptools
, numpy
, scipy
, pandas
, matplotlib
, pytestCheckHook
, pythonOlder
}:
buildPythonPackage rec {
pname = "seasonal";
version = "0.3.1";
pyproject = true;
disabled = pythonOlder "3.6";
src = fetchFromGitHub {
owner = "welch";
repo = "seasonal";
# There are no tags or releases, but this commit corresponds to the 0.3.1 version
# PyPI project contains only a wheel
rev = "2a2396014d46283d0c7aff34cde5dafb6c462c58";
hash = "sha256-8YedGylH70pI0OyefiS1PG1yc+sg+tchlgcuNvxcNqE=";
};
postPatch = ''
substituteInPlace setup.py \
--replace 'setup_requires=["pytest-runner"],' ""
'';
nativeBuildInputs = [
setuptools
];
propagatedBuildInputs = [
numpy
scipy
];
passthru.optional-dependencies = {
csv = [
pandas
];
plot = [
matplotlib
];
};
pythonImportsCheck = [ "seasonal" "seasonal.trend" "seasonal.periodogram" ];
nativeCheckInputs = [
pytestCheckHook
] ++ lib.flatten (builtins.attrValues passthru.optional-dependencies);
meta = with lib; {
description = "Robustly estimate trend and periodicity in a timeseries";
homepage = "https://github.com/welch/seasonal";
license = licenses.mit;
maintainers = with maintainers; [ mbalatsko ];
};
}
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