at 23.11-beta 63 lines 1.3 kB view raw
1{ lib 2, buildPythonPackage 3, fetchFromGitHub 4, setuptools 5, numpy 6, scipy 7, pandas 8, matplotlib 9, pytestCheckHook 10, pythonOlder 11}: 12 13buildPythonPackage rec { 14 pname = "seasonal"; 15 version = "0.3.1"; 16 pyproject = true; 17 18 disabled = pythonOlder "3.6"; 19 20 src = fetchFromGitHub { 21 owner = "welch"; 22 repo = "seasonal"; 23 # There are no tags or releases, but this commit corresponds to the 0.3.1 version 24 # PyPI project contains only a wheel 25 rev = "2a2396014d46283d0c7aff34cde5dafb6c462c58"; 26 hash = "sha256-8YedGylH70pI0OyefiS1PG1yc+sg+tchlgcuNvxcNqE="; 27 }; 28 29 postPatch = '' 30 substituteInPlace setup.py \ 31 --replace 'setup_requires=["pytest-runner"],' "" 32 ''; 33 34 nativeBuildInputs = [ 35 setuptools 36 ]; 37 38 propagatedBuildInputs = [ 39 numpy 40 scipy 41 ]; 42 43 passthru.optional-dependencies = { 44 csv = [ 45 pandas 46 ]; 47 plot = [ 48 matplotlib 49 ]; 50 }; 51 52 pythonImportsCheck = [ "seasonal" "seasonal.trend" "seasonal.periodogram" ]; 53 nativeCheckInputs = [ 54 pytestCheckHook 55 ] ++ lib.flatten (builtins.attrValues passthru.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}