Gaetan Lepage
135 lines
2.6 KiB
Nix
135 lines
2.6 KiB
Nix
{
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lib,
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stdenv,
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buildPythonPackage,
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fetchFromGitHub,
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fetchpatch,
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pythonAtLeast,
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# build-system
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setuptools,
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# dependencies
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numpy,
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pandas,
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pydantic,
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tqdm,
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toolz,
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# optional dependencies (torch)
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torch,
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lightning,
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scipy,
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# tests
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pytestCheckHook,
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distutils,
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matplotlib,
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pyarrow,
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statsmodels,
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writableTmpDirAsHomeHook,
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which,
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}:
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buildPythonPackage (finalAttrs: {
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pname = "gluonts";
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version = "0.16.2";
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pyproject = true;
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src = fetchFromGitHub {
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owner = "awslabs";
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repo = "gluonts";
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tag = "v${finalAttrs.version}";
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hash = "sha256-h0+RYgGMz0gPchiKGIu0/NGcWBky5AWNTJKzoupn/iQ=";
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};
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# pydantic.v1.errors.ConfigError: unable to infer type for attribute "target"
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disabled = pythonAtLeast "3.14";
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patches = [
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# Fixes _pickle.UnpicklingError: Weights only load failed.
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# https://github.com/awslabs/gluonts/pull/3269
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(fetchpatch {
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name = "fix-torch-load_from_checkpoint";
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url = "https://github.com/awslabs/gluonts/pull/3269/commits/6420e75cfbeabcd94e2ff09dfed3b2eeb4881710.patch";
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hash = "sha256-UeLjgKra+Y3uPoTBle+YCxD0a1ahu6d5anrMHn4HH2I=";
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})
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];
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build-system = [
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setuptools
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];
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dependencies = [
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numpy
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pandas
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pydantic
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tqdm
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toolz
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];
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optional-dependencies = {
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torch = [
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torch
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lightning
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scipy
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];
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};
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pythonRelaxDeps = [
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"numpy"
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"toolz"
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];
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pythonImportsCheck = [
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"gluonts"
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"gluonts.core"
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"gluonts.dataset"
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"gluonts.ev"
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"gluonts.evaluation"
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"gluonts.ext"
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"gluonts.model"
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"gluonts.shell"
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"gluonts.time_feature"
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"gluonts.torch"
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"gluonts.transform"
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];
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nativeCheckInputs = [
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pytestCheckHook
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distutils
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matplotlib
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pyarrow
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statsmodels
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writableTmpDirAsHomeHook
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which
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]
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++ finalAttrs.passthru.optional-dependencies.torch;
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disabledTestPaths = [
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# requires `cpflows`, not in Nixpkgs
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"test/torch/model"
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]
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++ lib.optionals stdenv.hostPlatform.isDarwin [
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# Trace/BPT trap: 5
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"test/torch/test_torch_item_id_info.py"
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];
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disabledTests = [
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# tries to access network
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"test_against_former_evaluator"
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]
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++ lib.optionals stdenv.hostPlatform.isDarwin [
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# RuntimeError: *** -[__NSPlaceholderArray initWithObjects:count:]: attempt to insert nil object from objects[1]
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"test_forecast"
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];
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meta = {
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description = "Probabilistic time series modeling in Python";
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homepage = "https://ts.gluon.ai";
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changelog = "https://github.com/awslabs/gluonts/releases/tag/${finalAttrs.src.tag}";
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license = lib.licenses.asl20;
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maintainers = with lib.maintainers; [ bcdarwin ];
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};
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})
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