113 lines
2.4 KiB
Nix
113 lines
2.4 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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setuptools,
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# dependencies
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jax,
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jaxlib,
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multipledispatch,
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numpy,
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tqdm,
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# tests
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dm-haiku,
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flax,
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funsor,
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graphviz,
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optax,
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pyro-api,
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pytest-xdist,
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pytestCheckHook,
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scikit-learn,
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tensorflow-probability,
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}:
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buildPythonPackage rec {
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pname = "numpyro";
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version = "0.16.1";
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pyproject = true;
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src = fetchFromGitHub {
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owner = "pyro-ppl";
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repo = "numpyro";
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tag = version;
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hash = "sha256-6i7LPdmMakGeLujhA9d7Ep9oiVcND3ni/jzUkqgEqxw=";
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};
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build-system = [ setuptools ];
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dependencies = [
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jax
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jaxlib
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multipledispatch
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numpy
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tqdm
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];
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nativeCheckInputs = [
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dm-haiku
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flax
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funsor
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graphviz
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optax
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pyro-api
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pytest-xdist
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pytestCheckHook
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scikit-learn
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tensorflow-probability
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];
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pythonImportsCheck = [ "numpyro" ];
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pytestFlagsArray = [
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# A few tests fail with:
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# UserWarning: There are not enough devices to run parallel chains: expected 2 but got 1.
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# Chains will be drawn sequentially. If you are running MCMC in CPU, consider using `numpyro.set_host_device_count(2)` at the beginning of your program.
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# You can double-check how many devices are available in your system using `jax.local_device_count()`.
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"-W"
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"ignore::UserWarning"
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];
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disabledTests = [
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# AssertionError due to tolerance issues
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"test_beta_binomial_log_prob"
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"test_collapse_beta"
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"test_cpu"
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"test_gamma_poisson"
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"test_gof"
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"test_hpdi"
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"test_kl_dirichlet_dirichlet"
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"test_kl_univariate"
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"test_mean_var"
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# Tests want to download data
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"data_load"
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"test_jsb_chorales"
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# RuntimeWarning: overflow encountered in cast
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"test_zero_inflated_logits_probs_agree"
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# NameError: unbound axis name: _provenance
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"test_model_transformation"
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# ValueError: compiling computation that requires 2 logical devices, but only 1 XLA devices are available (num_replicas=2)
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"test_chain"
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];
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disabledTestPaths = [
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# require jaxns (unpackaged)
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"test/contrib/test_nested_sampling.py"
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];
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meta = {
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description = "Library for probabilistic programming with NumPy";
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homepage = "https://num.pyro.ai/";
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changelog = "https://github.com/pyro-ppl/numpyro/releases/tag/${version}";
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license = lib.licenses.asl20;
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maintainers = with lib.maintainers; [ fab ];
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};
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}
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