2023-10-09 19:29:22 +00:00
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{ lib
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, buildPythonPackage
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, fetchFromGitHub
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, setuptools
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, numpy
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, scipy
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, pandas
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, matplotlib
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, pytestCheckHook
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, pythonOlder
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}:
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buildPythonPackage rec {
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pname = "seasonal";
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version = "0.3.1";
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pyproject = true;
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2023-10-19 13:55:26 +00:00
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disabled = pythonOlder "3.6";
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2023-10-09 19:29:22 +00:00
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src = fetchFromGitHub {
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owner = "welch";
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repo = "seasonal";
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# There are no tags or releases, but this commit corresponds to the 0.3.1 version
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# PyPI project contains only a wheel
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rev = "2a2396014d46283d0c7aff34cde5dafb6c462c58";
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hash = "sha256-8YedGylH70pI0OyefiS1PG1yc+sg+tchlgcuNvxcNqE=";
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};
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postPatch = ''
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substituteInPlace setup.py \
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--replace 'setup_requires=["pytest-runner"],' ""
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'';
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nativeBuildInputs = [
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setuptools
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];
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propagatedBuildInputs = [
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numpy
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scipy
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];
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passthru.optional-dependencies = {
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csv = [
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pandas
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];
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plot = [
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matplotlib
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];
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};
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pythonImportsCheck = [ "seasonal" "seasonal.trend" "seasonal.periodogram" ];
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nativeCheckInputs = [
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pytestCheckHook
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] ++ lib.flatten (builtins.attrValues passthru.optional-dependencies);
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meta = with lib; {
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description = "Robustly estimate trend and periodicity in a timeseries";
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homepage = "https://github.com/welch/seasonal";
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license = licenses.mit;
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maintainers = with maintainers; [ mbalatsko ];
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};
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}
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