mirror of
https://github.com/NixOS/nixpkgs.git
synced 2026-06-07 13:53:42 +00:00
135 lines
3.1 KiB
Nix
135 lines
3.1 KiB
Nix
{
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lib,
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buildPythonPackage,
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fetchFromGitHub,
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# build-system
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hatch-vcs,
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hatchling,
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# dependencies
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dask-glm,
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distributed,
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multipledispatch,
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numba,
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numpy,
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packaging,
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pandas,
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scikit-learn,
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scipy,
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dask,
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# tests
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pytest-mock,
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pytestCheckHook,
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}:
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buildPythonPackage rec {
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pname = "dask-ml";
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version = "2025.1.0";
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pyproject = true;
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src = fetchFromGitHub {
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owner = "dask";
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repo = "dask-ml";
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tag = "v${version}";
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hash = "sha256-DHxx0LFuJmGWYuG/WGHj+a5XHAEekBmlHUUb90rl2IY=";
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};
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postPatch = ''
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substituteInPlace pyproject.toml \
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--replace-fail 'addopts = "-rsx -v --durations=10 --color=yes"' \
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'addopts = ["-rsx", "-v", "--durations=10", "--color=yes"]'
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'';
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build-system = [
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hatch-vcs
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hatchling
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];
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dependencies = [
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dask-glm
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distributed
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multipledispatch
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numba
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numpy
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packaging
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pandas
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scikit-learn
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scipy
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]
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++ dask.optional-dependencies.array
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++ dask.optional-dependencies.dataframe;
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pythonImportsCheck = [
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"dask_ml"
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"dask_ml.naive_bayes"
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"dask_ml.wrappers"
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"dask_ml.utils"
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];
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nativeCheckInputs = [
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pytest-mock
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pytestCheckHook
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];
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disabledTestPaths = [
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# RuntimeError: Attempting to use an asynchronous Client in a synchronous context of `dask.compute`
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# https://github.com/dask/dask-ml/issues/1016
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"tests/model_selection/test_hyperband.py"
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"tests/model_selection/test_incremental.py"
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"tests/model_selection/test_incremental_warns.py"
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"tests/model_selection/test_successive_halving.py"
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# MockClassifier predates sklearn 1.6 __sklearn_tags__
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"tests/model_selection/dask_searchcv/test_model_selection.py"
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"tests/model_selection/dask_searchcv/test_model_selection_sklearn.py"
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];
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disabledTests = [
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# AssertionError: Regex pattern did not match.
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"test_unknown_category_transform_array"
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# ValueError: cannot broadcast shape (nan,) to shape (nan,)
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# https://github.com/dask/dask-ml/issues/1012
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"test_fit_array"
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"test_fit_frame"
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"test_fit_transform_frame"
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"test_laziness"
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"test_lr_score"
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"test_ok"
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"test_scoring_string"
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# sklearn 1.7+: PCA / IncrementalPCA missing power_iteration_normalizer
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"test_pca_randomized_solver"
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"test_pca_check_projection"
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"test_pca_inverse"
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"test_pca_score"
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"test_pca_score2"
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"test_randomized_pca_check_projection"
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"test_randomized_pca_inverse"
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"test_pca_int_dtype_upcast_to_double"
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"test_incremental_pca"
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"test_incremental_pca_against_pca_iris"
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"test_incremental_pca_against_pca_random_data"
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"test_singular_values"
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"test_whitening"
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# sklearn 1.8 API drift in LogisticRegression/ParallelPostFit
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"test_predict"
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"test_multiclass"
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# XPASS becomes failure under xfail_strict (now honored on pytest 9)
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"test_soft_voting_frame"
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];
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__darwinAllowLocalNetworking = true;
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meta = {
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description = "Scalable Machine Learn with Dask";
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homepage = "https://github.com/dask/dask-ml";
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license = lib.licenses.bsd3;
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maintainers = with lib.maintainers; [ GaetanLepage ];
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};
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}
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