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What happens if I push all of nixpkgs
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1.7 kB · 85 lines
Nix
at llvm-cleanup
1234567891011121314151617181920212223242526272829303132333435363738394041424344454647484950515253545556575859606162636465666768697071727374757677787980818283848586{ lib, buildPythonPackage, colorlog, dataclasses-json, fetchPypi, nltk-data, numpy, pandas, poetry-core, pydantic, pydateinfer, python-dateutil, pythonOlder, pythonRelaxDepsHook, scipy, symlinkJoin, type-infer,}:let testNltkData = symlinkJoin { name = "nltk-test-data"; paths = [ nltk-data.punkt nltk-data.stopwords ]; };inbuildPythonPackage rec { pname = "dataprep-ml"; version = "24.5.1.2"; pyproject = true;
disabled = pythonOlder "3.8";
# using PyPI as github repo does not contain tags or release branches src = fetchPypi { pname = "dataprep_ml"; inherit version; hash = "sha256-pZhHlNcQJLBww7ur2Z6Yb2IdbRsBtjzQAzfa4UzGKt4="; };
pythonRelaxDeps = [ "pydantic" ];
nativeBuildInputs = [ poetry-core pythonRelaxDepsHook ];
propagatedBuildInputs = [ colorlog dataclasses-json numpy pandas pydantic pydateinfer python-dateutil scipy type-infer ];
# PyPI tarball has no tests doCheck = false;
# Package import requires NLTK data to be downloaded # It is the only way to set NLTK_DATA environment variable, # so that it is available in pythonImportsCheck env.NLTK_DATA = testNltkData; pythonImportsCheck = [ "dataprep_ml" "dataprep_ml.cleaners" "dataprep_ml.helpers" "dataprep_ml.imputers" "dataprep_ml.insights" "dataprep_ml.recommenders" "dataprep_ml.splitters" ];
meta = with lib; { description = "Data utilities for Machine Learning pipelines"; homepage = "https://github.com/mindsdb/dataprep_ml"; license = licenses.gpl3Only; maintainers = with maintainers; [ mbalatsko ]; };}