139 lines
2.3 KiB
Nix
139 lines
2.3 KiB
Nix
{
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lib,
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buildPythonPackage,
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fetchFromGitHub,
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pytestCheckHook,
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pythonOlder,
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alembic,
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boto3,
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botorch,
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catboost,
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cma,
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cmaes,
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colorlog,
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distributed,
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fakeredis,
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google-cloud-storage,
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lightgbm,
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matplotlib,
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mlflow,
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moto,
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numpy,
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packaging,
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pandas,
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plotly,
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pytest-xdist,
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pytorch-lightning,
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pyyaml,
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redis,
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scikit-learn,
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scikit-optimize,
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scipy,
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setuptools,
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shap,
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sqlalchemy,
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tensorflow,
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torch,
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torchaudio,
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torchvision,
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tqdm,
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wandb,
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wheel,
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xgboost,
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}:
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buildPythonPackage rec {
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pname = "optuna";
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version = "4.0.0";
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pyproject = true;
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disabled = pythonOlder "3.7";
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src = fetchFromGitHub {
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owner = "optuna";
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repo = "optuna";
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rev = "refs/tags/v${version}";
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hash = "sha256-ZCK6otX90s8SB91TLkKwJ4net2dGmAKdIESeHXy87K0=";
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};
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nativeBuildInputs = [
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setuptools
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wheel
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];
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propagatedBuildInputs = [
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alembic
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colorlog
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numpy
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packaging
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sqlalchemy
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tqdm
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pyyaml
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];
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passthru.optional-dependencies = {
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integration = [
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botorch
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catboost
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cma
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distributed
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lightgbm
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mlflow
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pandas
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# pytorch-ignite
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pytorch-lightning
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scikit-learn
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scikit-optimize
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shap
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tensorflow
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torch
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torchaudio
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torchvision
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wandb
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xgboost
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];
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optional = [
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boto3
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botorch
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cmaes
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google-cloud-storage
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matplotlib
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pandas
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plotly
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redis
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scikit-learn
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];
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};
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preCheck = ''
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export PATH=$out/bin:$PATH
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'';
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nativeCheckInputs = [
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fakeredis
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moto
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pytest-xdist
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pytestCheckHook
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scipy
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] ++ fakeredis.optional-dependencies.lua ++ passthru.optional-dependencies.optional;
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pytestFlagsArray = [ "-m 'not integration'" ];
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disabledTestPaths = [
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# require unpackaged kaleido and building it is a bit difficult
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"tests/visualization_tests"
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# ImportError: cannot import name 'mock_s3' from 'moto'
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"tests/artifacts_tests/test_boto3.py"
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];
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pythonImportsCheck = [ "optuna" ];
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meta = with lib; {
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description = "Hyperparameter optimization framework";
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homepage = "https://optuna.org/";
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changelog = "https://github.com/optuna/optuna/releases/tag/${version}";
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license = licenses.mit;
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maintainers = with maintainers; [ natsukium ];
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mainProgram = "optuna";
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};
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}
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