Loading pkgs/development/python-modules/bayesian-optimization/default.nix +16 −14 Original line number Diff line number Diff line { stdenv, lib, stdenv, buildPythonPackage, fetchFromGitHub, # build-system poetry-core, # dependencies scikit-learn, numpy, scipy, colorama, # tests jupyter, matplotlib, nbconvert, nbformat, pytestCheckHook, pythonOlder, }: buildPythonPackage rec { pname = "bayesian-optimization"; version = "1.5.1"; version = "2.0.0"; pyproject = true; disabled = pythonOlder "3.9"; src = fetchFromGitHub { owner = "bayesian-optimization"; repo = "BayesianOptimization"; rev = "refs/tags/v${version}"; hash = "sha256-pDgvdQhlJ5aMRGdi2qXRXVCdJRvrOP/Nr0SSZyHH1WM="; hash = "sha256-XAO+UeHsOFAmUXqzMY/Iws1E738ZnU4Wz7E4YNIeGKY="; }; build-system = [ poetry-core ]; propagatedBuildInputs = [ dependencies = [ scikit-learn numpy scipy Loading @@ -49,14 +52,13 @@ buildPythonPackage rec { pythonImportsCheck = [ "bayes_opt" ]; meta = with lib; { broken = stdenv.hostPlatform.isLinux && stdenv.hostPlatform.isAarch64; description = '' A Python implementation of global optimization with gaussian processes ''; __darwinAllowLocalNetworking = true; meta = { description = "Python implementation of global optimization with gaussian processes"; homepage = "https://github.com/bayesian-optimization/BayesianOptimization"; changelog = "https://github.com/bayesian-optimization/BayesianOptimization/releases/tag/v${version}"; license = licenses.mit; maintainers = [ maintainers.juliendehos ]; license = lib.licenses.mit; maintainers = [ lib.maintainers.juliendehos ]; }; } Loading
pkgs/development/python-modules/bayesian-optimization/default.nix +16 −14 Original line number Diff line number Diff line { stdenv, lib, stdenv, buildPythonPackage, fetchFromGitHub, # build-system poetry-core, # dependencies scikit-learn, numpy, scipy, colorama, # tests jupyter, matplotlib, nbconvert, nbformat, pytestCheckHook, pythonOlder, }: buildPythonPackage rec { pname = "bayesian-optimization"; version = "1.5.1"; version = "2.0.0"; pyproject = true; disabled = pythonOlder "3.9"; src = fetchFromGitHub { owner = "bayesian-optimization"; repo = "BayesianOptimization"; rev = "refs/tags/v${version}"; hash = "sha256-pDgvdQhlJ5aMRGdi2qXRXVCdJRvrOP/Nr0SSZyHH1WM="; hash = "sha256-XAO+UeHsOFAmUXqzMY/Iws1E738ZnU4Wz7E4YNIeGKY="; }; build-system = [ poetry-core ]; propagatedBuildInputs = [ dependencies = [ scikit-learn numpy scipy Loading @@ -49,14 +52,13 @@ buildPythonPackage rec { pythonImportsCheck = [ "bayes_opt" ]; meta = with lib; { broken = stdenv.hostPlatform.isLinux && stdenv.hostPlatform.isAarch64; description = '' A Python implementation of global optimization with gaussian processes ''; __darwinAllowLocalNetworking = true; meta = { description = "Python implementation of global optimization with gaussian processes"; homepage = "https://github.com/bayesian-optimization/BayesianOptimization"; changelog = "https://github.com/bayesian-optimization/BayesianOptimization/releases/tag/v${version}"; license = licenses.mit; maintainers = [ maintainers.juliendehos ]; license = lib.licenses.mit; maintainers = [ lib.maintainers.juliendehos ]; }; }