Loading pkgs/development/python-modules/nifty8/default.nix +11 −3 Original line number Diff line number Diff line Loading @@ -27,15 +27,15 @@ buildPythonPackage rec { pname = "nifty8"; version = "8.5.2"; version = "8.5.4"; pyproject = true; src = fetchFromGitLab { domain = "gitlab.mpcdf.mpg.de"; owner = "ift"; repo = "nifty"; rev = "v${version}"; hash = "sha256-EWsJX+iqKOhQXEWlQfYUiPYqyfOfrwLtbI+DVn7vCQI="; tag = "v${version}"; hash = "sha256-Q42ZhQ/T8JmkG75BexevbvVKQqfDmMG6+oTYR0Ze718="; }; build-system = [ setuptools ]; Loading Loading @@ -76,7 +76,15 @@ buildPythonPackage rec { meta = { homepage = "https://gitlab.mpcdf.mpg.de/ift/nifty"; changelog = "https://gitlab.mpcdf.mpg.de/ift/nifty/-/blob/${src.tag}/ChangeLog.md"; description = "Bayesian Imaging library for high-dimensional posteriors"; longDescription = '' NIFTy, "Numerical Information Field Theory", is a Bayesian imaging library. It is designed to infer the million to billion dimensional posterior distribution in the image space from noisy input data. At the core of NIFTy lies a set of powerful Gaussian Process (GP) models and accurate Variational Inference (VI) algorithms. ''; license = lib.licenses.gpl3; maintainers = with lib.maintainers; [ parras ]; }; Loading Loading
pkgs/development/python-modules/nifty8/default.nix +11 −3 Original line number Diff line number Diff line Loading @@ -27,15 +27,15 @@ buildPythonPackage rec { pname = "nifty8"; version = "8.5.2"; version = "8.5.4"; pyproject = true; src = fetchFromGitLab { domain = "gitlab.mpcdf.mpg.de"; owner = "ift"; repo = "nifty"; rev = "v${version}"; hash = "sha256-EWsJX+iqKOhQXEWlQfYUiPYqyfOfrwLtbI+DVn7vCQI="; tag = "v${version}"; hash = "sha256-Q42ZhQ/T8JmkG75BexevbvVKQqfDmMG6+oTYR0Ze718="; }; build-system = [ setuptools ]; Loading Loading @@ -76,7 +76,15 @@ buildPythonPackage rec { meta = { homepage = "https://gitlab.mpcdf.mpg.de/ift/nifty"; changelog = "https://gitlab.mpcdf.mpg.de/ift/nifty/-/blob/${src.tag}/ChangeLog.md"; description = "Bayesian Imaging library for high-dimensional posteriors"; longDescription = '' NIFTy, "Numerical Information Field Theory", is a Bayesian imaging library. It is designed to infer the million to billion dimensional posterior distribution in the image space from noisy input data. At the core of NIFTy lies a set of powerful Gaussian Process (GP) models and accurate Variational Inference (VI) algorithms. ''; license = lib.licenses.gpl3; maintainers = with lib.maintainers; [ parras ]; }; Loading