143 lines
2.3 KiB
Nix
143 lines
2.3 KiB
Nix
{ 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 = "3.6.1";
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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-+ZqMRIza4K5VWTUm7tC87S08SI+C8GKd2Uh3rGoHwd0=";
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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:$PATH
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'';
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nativeCheckInputs = [
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fakeredis
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moto
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pytest-xdist
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pytestCheckHook
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scipy
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] ++ fakeredis.optional-dependencies.lua
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++ passthru.optional-dependencies.optional;
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pytestFlagsArray = [
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"-m 'not integration'"
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];
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disabledTestPaths = [
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# require unpackaged kaleido and building it is a bit difficult
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"tests/visualization_tests"
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# ImportError: cannot import name 'mock_s3' from 'moto'
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"tests/artifacts_tests/test_boto3.py"
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];
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pythonImportsCheck = [
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"optuna"
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];
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meta = with lib; {
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description = "A hyperparameter optimization framework";
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homepage = "https://optuna.org/";
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changelog = "https://github.com/optuna/optuna/releases/tag/${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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