pyrox.dev
python3Packages.nifty8: 8.5.2 -> 8.5.4 (#368906)
authored by Arne Keller and committed by GitHub 4138c1b3 85d08481
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pkgs/development/python-modules/nifty8/default.nix
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pkgs/development/python-modules/nifty8/default.nix
···
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buildPythonPackage rec {
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pname = "nifty8";
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-
version = "8.5.2";
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pyproject = true;
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src = fetchFromGitLab {
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domain = "gitlab.mpcdf.mpg.de";
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owner = "ift";
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repo = "nifty";
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rev = "v${version}";
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hash = "sha256-EWsJX+iqKOhQXEWlQfYUiPYqyfOfrwLtbI+DVn7vCQI=";
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};
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build-system = [ setuptools ];
···
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meta = {
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homepage = "https://gitlab.mpcdf.mpg.de/ift/nifty";
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description = "Bayesian Imaging library for high-dimensional posteriors";
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license = lib.licenses.gpl3;
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maintainers = with lib.maintainers; [ parras ];
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};
···
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buildPythonPackage rec {
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pname = "nifty8";
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version = "8.5.4";
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pyproject = true;
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src = fetchFromGitLab {
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domain = "gitlab.mpcdf.mpg.de";
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owner = "ift";
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repo = "nifty";
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tag = "v${version}";
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hash = "sha256-Q42ZhQ/T8JmkG75BexevbvVKQqfDmMG6+oTYR0Ze718=";
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};
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build-system = [ setuptools ];
···
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meta = {
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homepage = "https://gitlab.mpcdf.mpg.de/ift/nifty";
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changelog = "https://gitlab.mpcdf.mpg.de/ift/nifty/-/blob/${src.tag}/ChangeLog.md";
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description = "Bayesian Imaging library for high-dimensional posteriors";
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longDescription = ''
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NIFTy, "Numerical Information Field Theory", is a Bayesian imaging library.
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It is designed to infer the million to billion dimensional posterior
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distribution in the image space from noisy input data. At the core of
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NIFTy lies a set of powerful Gaussian Process (GP) models and accurate
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Variational Inference (VI) algorithms.
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'';
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license = lib.licenses.gpl3;
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maintainers = with lib.maintainers; [ parras ];
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};