at 23.05-pre 1.3 kB view raw
1{ lib 2, aeppl 3, aesara 4, arviz 5, buildPythonPackage 6, cachetools 7, cloudpickle 8, fastprogress 9, fetchFromGitHub 10, numpy 11, pythonOlder 12, pythonRelaxDepsHook 13, scipy 14, typing-extensions 15}: 16 17buildPythonPackage rec { 18 pname = "pymc"; 19 version = "4.3.0"; 20 format = "setuptools"; 21 22 disabled = pythonOlder "3.7"; 23 24 src = fetchFromGitHub { 25 owner = "pymc-devs"; 26 repo = "pymc"; 27 rev = "refs/tags/v${version}"; 28 hash = "sha256-pkeAcsdVBDc7eKC03+FDJCYT48PaVcXT8K8U8T4gGKo="; 29 }; 30 31 nativeBuildInputs = [ 32 pythonRelaxDepsHook 33 ]; 34 35 propagatedBuildInputs = [ 36 aeppl 37 aesara 38 arviz 39 cachetools 40 cloudpickle 41 fastprogress 42 numpy 43 scipy 44 typing-extensions 45 ]; 46 47 postPatch = '' 48 substituteInPlace setup.py \ 49 --replace ', "pytest-cov"' "" 50 ''; 51 52 pythonRelaxDeps = [ 53 "aesara" 54 "aeppl" 55 ]; 56 57 # The test suite is computationally intensive and test failures are not 58 # indicative for package usability hence tests are disabled by default. 59 doCheck = false; 60 61 pythonImportsCheck = [ 62 "pymc" 63 ]; 64 65 meta = with lib; { 66 description = "Bayesian estimation, particularly using Markov chain Monte Carlo (MCMC)"; 67 homepage = "https://github.com/pymc-devs/pymc3"; 68 license = licenses.asl20; 69 maintainers = with maintainers; [ nidabdella ]; 70 }; 71}