135 lines
3 KiB
Nix
135 lines
3 KiB
Nix
{
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lib,
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stdenv,
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# bazel wheel
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buildBazelPackage,
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fetchFromGitHub,
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# nativeBuildInputs
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python,
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setuptools,
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wheel,
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absl-py,
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bazel_6,
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cctools,
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# python package
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buildPythonPackage,
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# dependencies
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cloudpickle,
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decorator,
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dm-tree,
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gast,
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keras,
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numpy,
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six,
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tensorflow,
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# tests
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hypothesis,
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matplotlib,
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mock,
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mpmath,
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pandas,
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pytest,
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scipy,
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}:
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let
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version = "0.24.0";
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pname = "tensorflow-probability";
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# first build all binaries and generate setup.py using bazel
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bazel-wheel = buildBazelPackage {
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name = "tensorflow_probability-${version}-py2.py3-none-any.whl";
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src = fetchFromGitHub {
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owner = "tensorflow";
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repo = "probability";
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rev = "refs/tags/v${version}";
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hash = "sha256-V6aw4NtGOHlvcbgLWMH29x81eck1PyzV93ANelvpL4c=";
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};
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nativeBuildInputs = [
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absl-py
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# needed to create the output wheel in installPhase
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python
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setuptools
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tensorflow
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wheel
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];
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bazel = bazel_6;
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bazelTargets = [ ":pip_pkg" ];
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LIBTOOL = lib.optionalString stdenv.isDarwin "${cctools}/bin/libtool";
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fetchAttrs = {
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sha256 = "sha256-TbWcWYidyXuAMgBnO2/k0NKCzc4wThf2uUeC3QxdBJY=";
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};
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buildAttrs = {
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preBuild = ''
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patchShebangs .
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'';
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installPhase = ''
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# work around timestamp issues
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# https://github.com/NixOS/nixpkgs/issues/270#issuecomment-467583872
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export SOURCE_DATE_EPOCH=315532800
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# First build, then move. Otherwise pip_pkg would create the dir $out
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# and then put the wheel in that directory. However we want $out to
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# point directly to the wheel file.
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./bazel-bin/pip_pkg . --release
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mv *.whl "$out"
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'';
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};
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};
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in
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buildPythonPackage {
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inherit version pname;
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format = "wheel";
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src = bazel-wheel;
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dependencies = [
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cloudpickle
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decorator
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dm-tree
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gast
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keras
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numpy
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six
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tensorflow
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];
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# Listed here:
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# https://github.com/tensorflow/probability/blob/f3777158691787d3658b5e80883fe1a933d48989/testing/dependency_install_lib.sh#L83
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nativeCheckInputs = [
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hypothesis
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matplotlib
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mock
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mpmath
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pandas
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pytest
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scipy
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];
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# Ideally, we run unit tests with pytest, but in checkPhase, only the Bazel-build wheel is available.
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# But it seems not guaranteed that running the tests with pytest will even work, see
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# https://github.com/tensorflow/probability/blob/c2a10877feb2c4c06a4dc58281e69c37a11315b9/CONTRIBUTING.md?plain=1#L69
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# Ideally, tests would be run using Bazel. For now, lets's do a...
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# sanity check
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pythonImportsCheck = [ "tensorflow_probability" ];
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meta = {
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description = "Library for probabilistic reasoning and statistical analysis";
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homepage = "https://www.tensorflow.org/probability/";
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changelog = "https://github.com/tensorflow/probability/releases/tag/v${version}";
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license = lib.licenses.asl20;
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maintainers = with lib.maintainers; [ GaetanLepage ];
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};
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}
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