81 lines
1.6 KiB
Nix
81 lines
1.6 KiB
Nix
{
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lib,
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buildPythonPackage,
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fetchFromGitHub,
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fetchpatch2,
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# build-system
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setuptools,
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versioneer,
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# dependencies
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arviz,
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cachetools,
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cloudpickle,
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numpy,
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pandas,
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pytensor,
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rich,
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scipy,
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threadpoolctl,
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typing-extensions,
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}:
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buildPythonPackage rec {
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pname = "pymc";
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version = "5.25.1";
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pyproject = true;
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src = fetchFromGitHub {
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owner = "pymc-devs";
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repo = "pymc";
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tag = "v${version}";
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hash = "sha256-zh6FsCEviuyqapguTrUDsWKq70ef0IKRhnn2dkgQ/KA=";
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};
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patches = [
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# TODO: remove at next release
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# https://github.com/pymc-devs/pytensor/pull/1471
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(fetchpatch2 {
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name = "pytensor-2-32-compat";
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url = "https://github.com/pymc-devs/pymc/commit/59176b6adda88971e546a0cf93ca04424af5197f.patch";
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hash = "sha256-jkDwlKwxbn9DwpkxEbSXk/kbGjT/Xu8bsZHFBWYpMgA=";
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})
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];
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build-system = [
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setuptools
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versioneer
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];
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dependencies = [
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arviz
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cachetools
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cloudpickle
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numpy
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pandas
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pytensor
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rich
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scipy
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threadpoolctl
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typing-extensions
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];
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# The test suite is computationally intensive and test failures are not
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# indicative for package usability hence tests are disabled by default.
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doCheck = false;
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pythonImportsCheck = [ "pymc" ];
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meta = {
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description = "Bayesian estimation, particularly using Markov chain Monte Carlo (MCMC)";
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homepage = "https://github.com/pymc-devs/pymc";
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changelog = "https://github.com/pymc-devs/pymc/releases/tag/v${version}";
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license = lib.licenses.asl20;
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maintainers = with lib.maintainers; [
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nidabdella
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ferrine
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];
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};
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}
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