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1{ 2 lib, 3 buildPythonPackage, 4 fetchFromGitHub, 5 setuptools, 6 numpy, 7 scipy, 8 pandas, 9 matplotlib, 10 pytestCheckHook, 11 pythonOlder, 12}: 13 14buildPythonPackage rec { 15 pname = "seasonal"; 16 version = "0.3.1"; 17 pyproject = true; 18 19 disabled = pythonOlder "3.6"; 20 21 src = fetchFromGitHub { 22 owner = "welch"; 23 repo = "seasonal"; 24 # There are no tags or releases, but this commit corresponds to the 0.3.1 version 25 # PyPI project contains only a wheel 26 rev = "2a2396014d46283d0c7aff34cde5dafb6c462c58"; 27 hash = "sha256-8YedGylH70pI0OyefiS1PG1yc+sg+tchlgcuNvxcNqE="; 28 }; 29 30 postPatch = '' 31 substituteInPlace setup.py \ 32 --replace 'setup_requires=["pytest-runner"],' "" 33 ''; 34 35 nativeBuildInputs = [ setuptools ]; 36 37 propagatedBuildInputs = [ 38 numpy 39 scipy 40 ]; 41 42 optional-dependencies = { 43 csv = [ pandas ]; 44 plot = [ matplotlib ]; 45 }; 46 47 pythonImportsCheck = [ 48 "seasonal" 49 "seasonal.trend" 50 "seasonal.periodogram" 51 ]; 52 nativeCheckInputs = [ 53 pytestCheckHook 54 ] 55 ++ lib.flatten (builtins.attrValues optional-dependencies); 56 57 meta = with lib; { 58 description = "Robustly estimate trend and periodicity in a timeseries"; 59 homepage = "https://github.com/welch/seasonal"; 60 license = licenses.mit; 61 maintainers = with maintainers; [ mbalatsko ]; 62 }; 63}