mirror of
https://github.com/CHN-beta/nixpkgs.git
synced 2026-01-13 19:43:02 +08:00
e0464e4788
In preparation for the deprecation of `stdenv.isX`. These shorthands are not conducive to cross-compilation because they hide the platforms. Darwin might get cross-compilation for which the continued usage of `stdenv.isDarwin` will get in the way One example of why this is bad and especially affects compiler packages https://www.github.com/NixOS/nixpkgs/pull/343059 There are too many files to go through manually but a treewide should get users thinking when they see a `hostPlatform.isX` in a place where it doesn't make sense. ``` fd --type f "\.nix" | xargs sd --fixed-strings "stdenv.is" "stdenv.hostPlatform.is" fd --type f "\.nix" | xargs sd --fixed-strings "stdenv'.is" "stdenv'.hostPlatform.is" fd --type f "\.nix" | xargs sd --fixed-strings "clangStdenv.is" "clangStdenv.hostPlatform.is" fd --type f "\.nix" | xargs sd --fixed-strings "gccStdenv.is" "gccStdenv.hostPlatform.is" fd --type f "\.nix" | xargs sd --fixed-strings "stdenvNoCC.is" "stdenvNoCC.hostPlatform.is" fd --type f "\.nix" | xargs sd --fixed-strings "inherit (stdenv) is" "inherit (stdenv.hostPlatform) is" fd --type f "\.nix" | xargs sd --fixed-strings "buildStdenv.is" "buildStdenv.hostPlatform.is" fd --type f "\.nix" | xargs sd --fixed-strings "effectiveStdenv.is" "effectiveStdenv.hostPlatform.is" fd --type f "\.nix" | xargs sd --fixed-strings "originalStdenv.is" "originalStdenv.hostPlatform.is" ```
63 lines
1.3 KiB
Nix
63 lines
1.3 KiB
Nix
{
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stdenv,
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lib,
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buildPythonPackage,
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fetchFromGitHub,
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poetry-core,
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scikit-learn,
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numpy,
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scipy,
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colorama,
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jupyter,
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matplotlib,
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nbconvert,
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nbformat,
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pytestCheckHook,
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pythonOlder,
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}:
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buildPythonPackage rec {
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pname = "bayesian-optimization";
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version = "1.5.1";
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pyproject = true;
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disabled = pythonOlder "3.9";
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src = fetchFromGitHub {
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owner = "bayesian-optimization";
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repo = "BayesianOptimization";
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rev = "refs/tags/v${version}";
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hash = "sha256-pDgvdQhlJ5aMRGdi2qXRXVCdJRvrOP/Nr0SSZyHH1WM=";
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};
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build-system = [ poetry-core ];
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propagatedBuildInputs = [
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scikit-learn
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numpy
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scipy
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colorama
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];
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nativeCheckInputs = [
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jupyter
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matplotlib
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nbconvert
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nbformat
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pytestCheckHook
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];
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pythonImportsCheck = [ "bayes_opt" ];
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meta = with lib; {
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broken = stdenv.hostPlatform.isLinux && stdenv.hostPlatform.isAarch64;
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description = ''
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A Python implementation of global optimization with gaussian processes
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'';
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homepage = "https://github.com/bayesian-optimization/BayesianOptimization";
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changelog = "https://github.com/bayesian-optimization/BayesianOptimization/releases/tag/v${version}";
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license = licenses.mit;
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maintainers = [ maintainers.juliendehos ];
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};
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}
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