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What happens if I push all of nixpkgs
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3.2 kB · 153 lines
Nix
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# build-system setuptools,
# dependencies click, cloudpickle, fsspec, importlib-metadata, packaging, partd, pyyaml, toolz,
# optional-dependencies numpy, pyarrow, lz4, pandas, distributed, bokeh, jinja2,
# tests hypothesis, pytest-asyncio, pytest-cov-stub, pytest-mock, pytest-rerunfailures, pytest-xdist, pytestCheckHook, versionCheckHook,}:
buildPythonPackage rec { pname = "dask"; version = "2025.3.0"; pyproject = true;
src = fetchFromGitHub { owner = "dask"; repo = "dask"; tag = version; hash = "sha256-j25+DfWReonXKqxkX9OVHjKo+Indh13rlBE5PyGe69c="; };
postPatch = '' # versioneer hack to set version of GitHub package echo "def get_versions(): return {'dirty': False, 'error': None, 'full-revisionid': None, 'version': '${version}'}" > dask/_version.py
substituteInPlace setup.py \ --replace-fail "import versioneer" "" \ --replace-fail "version=versioneer.get_version()," "version='${version}'," \ --replace-fail "cmdclass=versioneer.get_cmdclass()," ""
substituteInPlace pyproject.toml \ --replace-fail ', "versioneer[toml]==0.29"' "" '';
build-system = [ setuptools ];
dependencies = [ click cloudpickle fsspec importlib-metadata packaging partd pyyaml toolz ];
optional-dependencies = lib.fix (self: { array = [ numpy ]; complete = [ pyarrow lz4 ] ++ self.array ++ self.dataframe ++ self.distributed ++ self.diagnostics; dataframe = [ pandas pyarrow ] ++ self.array; distributed = [ distributed ]; diagnostics = [ bokeh jinja2 ]; });
nativeCheckInputs = [ hypothesis pyarrow pytest-asyncio pytest-cov-stub pytest-mock pytest-rerunfailures pytest-xdist pytestCheckHook versionCheckHook ] ++ optional-dependencies.array ++ optional-dependencies.dataframe; versionCheckProgramArg = "--version";
pytestFlags = [ # Rerun failed tests up to three times "--reruns=3" ];
disabledTestMarks = [ # Don't run tests that require network access "network" ];
disabledTests = [ # UserWarning: Insufficient elements for `head`. 10 elements requested, only 5 elements available. Try passing larger `npartitions` to `head`. "test_set_index_head_nlargest_string" ];
__darwinAllowLocalNetworking = true;
pythonImportsCheck = [ "dask" "dask.bag" "dask.bytes" "dask.diagnostics"
# Requires the `dask.optional-dependencies.array` that are only in `nativeCheckInputs` "dask.array" # Requires the `dask.optional-dependencies.dataframe` that are only in `nativeCheckInputs` "dask.dataframe" "dask.dataframe.io" "dask.dataframe.tseries" ];
meta = { description = "Minimal task scheduling abstraction"; mainProgram = "dask"; homepage = "https://dask.org/"; changelog = "https://docs.dask.org/en/latest/changelog.html"; license = lib.licenses.bsd3; maintainers = with lib.maintainers; [ GaetanLepage ]; };}