python312Packages.numpyro: 0.16.1 -> 0.17.0 (#379958)
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@@ -28,14 +28,14 @@
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buildPythonPackage rec {
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pname = "numpyro";
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version = "0.16.1";
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version = "0.17.0";
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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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hash = "sha256-S5A5wBb2ZMxpLvP/EYahdg2BqgzKGvnzvZOII76O/+w=";
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};
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build-system = [ setuptools ];
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@@ -76,64 +76,25 @@ buildPythonPackage rec {
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];
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disabledTests = [
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# jax.errors.UnexpectedTracerError: Encountered an unexpected tracer
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"test_haiku_state_dropout_smoke"
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"test_flax_state_dropout_smoke"
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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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# since jax update to 0.5.0
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"test_analytic_kl_2"
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"test_analytic_kl_3"
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"test_apply_kernel"
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"test_beta_bernoulli"
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"test_biject_to"
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"test_bijective_transforms"
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"test_change_point_x64"
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"test_cholesky_update"
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"test_dais_vae"
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"test_discrete_gibbs_multiple_sites_chain"
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"test_cpu"
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"test_entropy_categorical"
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"test_gaussian_model"
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"test_get_proposal_loc_and_scale"
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"test_guide_plate_contraction"
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"test_kernel_forward"
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# > with pytest.warns(UserWarning, match="Hessian of log posterior"):
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# E Failed: DID NOT WARN. No warnings of type (<class 'UserWarning'>,) were emitted.
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# E Emitted warnings: [].
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"test_laplace_approximation_warning"
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"test_log_prob_gradient"
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"test_logistic_regression"
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"test_logistic_regression_x64"
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"test_scale"
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"test_scan_svi"
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"test_stein_particle_loss"
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"test_weight_convergence"
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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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