Bug#1020060: statsmodels: FTBFS: make[1]: *** [debian/rules:105: override_dh_auto_test] Error 1
Lucas Nussbaum
lucas at debian.org
Sun Sep 18 07:02:46 BST 2022
Source: statsmodels
Version: 0.13.2+dfsg-4
Severity: serious
Justification: FTBFS
Tags: bookworm sid ftbfs
User: lucas at debian.org
Usertags: ftbfs-20220917 ftbfs-bookworm
Hi,
During a rebuild of all packages in sid, your package failed to build
on amd64.
Relevant part (hopefully):
> make[1]: Entering directory '/<<PKGBUILDDIR>>'
> TEST_SUCCESS=true ; cd tools && for testpy3ver in `py3versions -vs` ; do \
> for testpath in ../.pybuild/*${testpy3ver}*/*/statsmodels ; do \
> PYTHONPATH=${testpath}/.. python${testpy3ver} -m pytest -v ${testpath} || TEST_SUCCESS=false ; \
> rm -rf ${testpath}/.pytest_cache ; \
> done ; done ; [ `dpkg --print-architecture` = mips64el ] || [ `dpkg --print-architecture` = armel ] || ${TEST_SUCCESS}
> ============================= test session starts ==============================
> platform linux -- Python 3.10.7, pytest-7.1.2, pluggy-1.0.0+repack -- /usr/bin/python3.10
> cachedir: .pytest_cache
> rootdir: /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10_statsmodels/build/statsmodels, configfile: setup.cfg
> plugins: forked-1.4.0
> collecting ... collected 16890 items
>
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/base/tests/test_data.py::TestArrays::test_orig PASSED [ 0%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/base/tests/test_data.py::TestArrays::test_endogexog PASSED [ 0%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/base/tests/test_data.py::TestArrays::test_attach PASSED [ 0%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/base/tests/test_data.py::TestArrays::test_names PASSED [ 0%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/base/tests/test_data.py::TestArrays::test_labels PASSED [ 0%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/base/tests/test_data.py::TestArrays2dEndog::test_orig PASSED [ 0%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/base/tests/test_data.py::TestArrays2dEndog::test_attach PASSED [ 0%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/base/tests/test_data.py::TestArrays2dEndog::test_names PASSED [ 0%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/base/tests/test_data.py::TestArrays2dEndog::test_labels PASSED [ 0%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/base/tests/test_data.py::TestArrays2dEndog::test_endogexog PASSED [ 0%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/base/tests/test_data.py::TestArrays1dExog::test_endogexog PASSED [ 0%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/base/tests/test_data.py::TestArrays1dExog::test_attach PASSED [ 0%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/base/tests/test_data.py::TestArrays1dExog::test_names PASSED [ 0%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/base/tests/test_data.py::TestArrays1dExog::test_labels PASSED [ 0%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/base/tests/test_data.py::TestArrays1dExog::test_orig PASSED [ 0%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/base/tests/test_data.py::TestDataFrames::test_names PASSED [ 0%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/base/tests/test_data.py::TestDataFrames::test_labels PASSED [ 0%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/base/tests/test_data.py::TestDataFrames::test_orig PASSED [ 0%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/base/tests/test_data.py::TestDataFrames::test_endogexog PASSED [ 0%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/base/tests/test_data.py::TestDataFrames::test_attach PASSED [ 0%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/base/tests/test_data.py::TestDataFramesWithMultiIndex::test_names PASSED [ 0%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/base/tests/test_data.py::TestDataFramesWithMultiIndex::test_labels PASSED [ 0%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/base/tests/test_data.py::TestDataFramesWithMultiIndex::test_orig PASSED [ 0%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/base/tests/test_data.py::TestDataFramesWithMultiIndex::test_endogexog PASSED [ 0%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/base/tests/test_data.py::TestDataFramesWithMultiIndex::test_attach PASSED [ 0%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/base/tests/test_data.py::TestLists::test_orig PASSED [ 0%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/base/tests/test_data.py::TestLists::test_endogexog PASSED [ 0%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/base/tests/test_data.py::TestLists::test_attach PASSED [ 0%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/base/tests/test_data.py::TestLists::test_names PASSED [ 0%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/base/tests/test_data.py::TestLists::test_labels PASSED [ 0%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/base/tests/test_data.py::TestListDataFrame::test_names PASSED [ 0%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/base/tests/test_data.py::TestListDataFrame::test_labels PASSED [ 0%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/base/tests/test_data.py::TestListDataFrame::test_attach PASSED [ 0%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/base/tests/test_data.py::TestListDataFrame::test_endogexog PASSED [ 0%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/base/tests/test_data.py::TestListDataFrame::test_orig PASSED [ 0%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/base/tests/test_data.py::TestDataFrameList::test_names PASSED [ 0%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/base/tests/test_data.py::TestDataFrameList::test_labels PASSED [ 0%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/base/tests/test_data.py::TestDataFrameList::test_attach PASSED [ 0%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/base/tests/test_data.py::TestDataFrameList::test_endogexog PASSED [ 0%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/base/tests/test_data.py::TestDataFrameList::test_orig PASSED [ 0%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/base/tests/test_data.py::TestArrayDataFrame::test_names PASSED [ 0%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/base/tests/test_data.py::TestArrayDataFrame::test_labels PASSED [ 0%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/base/tests/test_data.py::TestArrayDataFrame::test_attach PASSED [ 0%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/base/tests/test_data.py::TestArrayDataFrame::test_endogexog PASSED [ 0%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/base/tests/test_data.py::TestArrayDataFrame::test_orig PASSED [ 0%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/base/tests/test_data.py::TestDataFrameArray::test_names PASSED [ 0%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/base/tests/test_data.py::TestDataFrameArray::test_labels PASSED [ 0%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/base/tests/test_data.py::TestDataFrameArray::test_attach PASSED [ 0%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/base/tests/test_data.py::TestDataFrameArray::test_endogexog PASSED [ 0%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/base/tests/test_data.py::TestDataFrameArray::test_orig PASSED [ 0%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/base/tests/test_data.py::TestSeriesDataFrame::test_names PASSED [ 0%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/base/tests/test_data.py::TestSeriesDataFrame::test_labels PASSED [ 0%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/base/tests/test_data.py::TestSeriesDataFrame::test_endogexog PASSED [ 0%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/base/tests/test_data.py::TestSeriesDataFrame::test_attach PASSED [ 0%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/base/tests/test_data.py::TestSeriesSeries::test_attach PASSED [ 0%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/base/tests/test_data.py::TestSeriesSeries::test_orig PASSED [ 0%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/base/tests/test_data.py::TestSeriesSeries::test_endogexog PASSED [ 0%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/base/tests/test_data.py::test_alignment PASSED [ 0%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/base/tests/test_data.py::TestMultipleEqsArrays::test_orig PASSED [ 0%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/base/tests/test_data.py::TestMultipleEqsArrays::test_endogexog PASSED [ 0%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/base/tests/test_data.py::TestMultipleEqsDataFrames::test_orig PASSED [ 0%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/base/tests/test_data.py::TestMissingArray::test_raise_no_missing PASSED [ 0%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/base/tests/test_data.py::test_dtype_object PASSED [ 0%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/base/tests/test_distributed_estimation.py::test_calc_grad PASSED [ 0%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/base/tests/test_distributed_estimation.py::test_calc_wdesign_mat PASSED [ 0%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/base/tests/test_distributed_estimation.py::test_est_regularized_debiased PASSED [ 0%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericOLSOneExog::test_ftest_pvalues PASSED [ 0%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericOLSOneExog::test_fitted PASSED [ 0%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericOLSOneExog::test_predict_types PASSED [ 0%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericPoisson::test_ttest_tvalues PASSED [ 0%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericPoisson::test_ftest_pvalues PASSED [ 0%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericPoisson::test_fitted SKIPPED [ 0%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericPoisson::test_predict_types PASSED [ 0%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericPoisson::test_zero_constrained PASSED [ 0%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericPoisson::test_zero_collinear PASSED [ 0%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericPoissonOffset::test_ttest_tvalues PASSED [ 0%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericPoissonOffset::test_ftest_pvalues PASSED [ 0%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericPoissonOffset::test_fitted SKIPPED [ 0%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericPoissonOffset::test_predict_types PASSED [ 0%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericPoissonOffset::test_zero_constrained PASSED [ 0%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericPoissonOffset::test_zero_collinear PASSED [ 0%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP::test_null PASSED [ 3%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP::test_summary PASSED [ 3%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP::test_params PASSED [ 3%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP::test_conf_int PASSED [ 3%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP::test_bic PASSED [ 3%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP::test_fit_regularized PASSED [ 3%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP::test_minimize PASSED [ 3%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP_predict::test_mean PASSED [ 3%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP_predict::test_var PASSED [ 3%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP_predict::test_predict_prob PASSED [ 3%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP_predict::test_predict_generic_zi PASSED [ 3%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP_predict2::test_mean PASSED [ 3%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP_predict2::test_zero_nonzero_mean PASSED [ 3%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestPandasOffset::test_pd_offset_exposure PASSED [ 3%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_diagnostic.py::TestCountDiagnostic::test_count PASSED [ 3%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_diagnostic.py::TestCountDiagnostic::test_probs PASSED [ 3%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_fit_regularized_invalid_method PASSED [ 3%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_params PASSED [ 3%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_conf_int PASSED [ 3%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_zstat PASSED [ 3%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_pvalues PASSED [ 3%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_cov_params PASSED [ 3%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_llf PASSED [ 3%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_llnull PASSED [ 3%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_llr PASSED [ 3%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_llr_pvalue PASSED [ 3%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_normalized_cov_params XFAIL [ 3%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_bse PASSED [ 3%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_dof PASSED [ 3%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_aic PASSED [ 3%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_bic PASSED [ 3%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_predict PASSED [ 3%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_predict_xb PASSED [ 3%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_loglikeobs PASSED [ 3%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_jac PASSED [ 3%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_summary_latex PASSED [ 3%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_pred_table PASSED [ 3%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_resid_dev PASSED [ 3%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_resid_generalized PASSED [ 3%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_resid_response PASSED [ 3%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_init_kwargs PASSED [ 3%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_fit_regularized_invalid_method PASSED [ 3%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_params PASSED [ 3%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_conf_int PASSED [ 3%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_zstat PASSED [ 3%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_pvalues PASSED [ 3%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_cov_params PASSED [ 3%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_llf PASSED [ 3%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_llnull PASSED [ 3%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_llr PASSED [ 3%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_llr_pvalue PASSED [ 3%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_normalized_cov_params XFAIL [ 3%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_bse PASSED [ 3%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_dof PASSED [ 3%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_aic PASSED [ 3%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_bic PASSED [ 3%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_predict PASSED [ 3%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_predict_xb PASSED [ 3%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_loglikeobs PASSED [ 3%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_jac PASSED [ 3%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_summary_latex PASSED [ 3%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_pred_table PASSED [ 3%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_resid_dev PASSED [ 3%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_resid_generalized PASSED [ 3%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_resid_response PASSED [ 3%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_fit_regularized_invalid_method PASSED [ 3%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_params PASSED [ 3%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_conf_int PASSED [ 3%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_zstat PASSED [ 3%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_pvalues PASSED [ 3%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_cov_params PASSED [ 3%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_llf PASSED [ 3%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_llnull PASSED [ 3%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_llr PASSED [ 3%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_llr_pvalue PASSED [ 3%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_normalized_cov_params XFAIL [ 3%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_bse PASSED [ 3%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_dof PASSED [ 3%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_aic PASSED [ 3%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_bic PASSED [ 3%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_predict PASSED [ 3%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_predict_xb PASSED [ 3%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_loglikeobs PASSED [ 3%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_jac PASSED [ 3%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_summary_latex PASSED [ 3%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_pred_table PASSED [ 3%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_resid_dev PASSED [ 3%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_resid_generalized PASSED [ 3%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_resid_response PASSED [ 3%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_fit_regularized_invalid_method PASSED [ 3%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_params PASSED [ 3%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_conf_int PASSED [ 3%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_zstat PASSED [ 3%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_pvalues PASSED [ 3%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_cov_params PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_llf PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_llnull PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_llr PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_llr_pvalue PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_normalized_cov_params XFAIL [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_bse PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_dof PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_aic PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_bic PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_predict PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_predict_xb PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_loglikeobs PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_jac PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_summary_latex PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_pred_table PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_resid_dev PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_resid_generalized PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_resid_response PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_fit_regularized_invalid_method PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_params PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_conf_int PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_zstat PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_pvalues PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_cov_params PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_llf PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_llnull PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_llr PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_llr_pvalue PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_normalized_cov_params XFAIL [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_bse PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_dof PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_aic PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_bic PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_predict PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_predict_xb PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_loglikeobs PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_jac PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_summary_latex PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_pred_table PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_resid_dev PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_resid_generalized PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_resid_response PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_fit_regularized_invalid_method PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_params PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_conf_int PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_zstat PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_pvalues PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_cov_params PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_llf PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_llnull PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_llr PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_llr_pvalue PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_normalized_cov_params XFAIL [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_bse PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_dof PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_aic PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_bic PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_predict PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_predict_xb PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_loglikeobs PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_jac PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_summary_latex PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_pred_table PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_resid_dev PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_resid_generalized PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_resid_response PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_fit_regularized_invalid_method PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_params PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_conf_int PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_zstat PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_pvalues PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_cov_params PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_llf PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_llnull PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_llr PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_llr_pvalue PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_normalized_cov_params XFAIL [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_bse PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_dof PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_aic PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_bic PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_predict PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_predict_xb PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_loglikeobs PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_jac PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_summary_latex PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_pred_table PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_resid_dev PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_resid_generalized PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_resid_response PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_fit_regularized_invalid_method PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_params PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_conf_int PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_zstat PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_pvalues PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_cov_params PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_llf PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_llnull PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_llr PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_llr_pvalue PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_normalized_cov_params XFAIL [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_bse PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_dof PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_aic PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_bic PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_predict PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_predict_xb PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_loglikeobs PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_jac PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_summary_latex PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_pred_table PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_resid_dev PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_resid_generalized PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_resid_response PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_fit_regularized_invalid_method PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_params PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_conf_int PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_zstat PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_pvalues PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_cov_params PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_llf PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_llnull PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_llr PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_llr_pvalue PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_normalized_cov_params XFAIL [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_bse PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_dof PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_aic PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_bic PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_predict PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_predict_xb PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_loglikeobs PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_jac PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_summary_latex PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_pred_table PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_resid_dev PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_resid_generalized PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_resid_response PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_fit_regularized_invalid_method PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_params PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_conf_int PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_zstat PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_pvalues PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_cov_params PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_llf PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_llnull PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_llr PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_llr_pvalue PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_normalized_cov_params XFAIL [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_bse PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_dof PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_aic PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_bic PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_predict PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_predict_xb PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_loglikeobs PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_jac PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_summary_latex PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_pred_table PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_resid_dev PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_resid_generalized PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_resid_response PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitL1::test_params PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitL1::test_conf_int PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitL1::test_bse PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitL1::test_nnz_params PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitL1::test_aic PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitL1::test_bic PASSED [ 4%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitL1::test_cov_params PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitL1::test_params PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitL1::test_conf_int PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitL1::test_bse PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitL1::test_nnz_params PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitL1::test_aic PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitL1::test_bic PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitL1::test_params PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitL1::test_conf_int PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitL1::test_bse PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitL1::test_nnz_params PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitL1::test_aic PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitL1::test_bic PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitL1::test_cov_params PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestCVXOPT::test_cvxopt_versus_slsqp PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestSweepAlphaL1::test_sweep_alpha PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestPoissonL1Compatability::test_params PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestPoissonL1Compatability::test_cov_params PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestPoissonL1Compatability::test_df PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestPoissonL1Compatability::test_t_test PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestPoissonL1Compatability::test_f_test PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestPoissonL1Compatability::test_bad_r_matrix PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialL1Compatability::test_params PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialL1Compatability::test_cov_params PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialL1Compatability::test_df PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialL1Compatability::test_t_test PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialL1Compatability::test_f_test PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialL1Compatability::test_bad_r_matrix PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeoL1Compatability::test_params PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeoL1Compatability::test_cov_params PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeoL1Compatability::test_df PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeoL1Compatability::test_t_test PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeoL1Compatability::test_f_test PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeoL1Compatability::test_bad_r_matrix PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitL1Compatability::test_params PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitL1Compatability::test_cov_params PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitL1Compatability::test_df PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitL1Compatability::test_t_test PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitL1Compatability::test_f_test PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitL1Compatability::test_bad_r_matrix PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitL1Compatability::test_params PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitL1Compatability::test_cov_params PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitL1Compatability::test_df PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitL1Compatability::test_bad_r_matrix PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitL1Compatability::test_t_test PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitL1Compatability::test_f_test SKIPPED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitL1Compatability::test_params PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitL1Compatability::test_cov_params PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitL1Compatability::test_df PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitL1Compatability::test_t_test PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitL1Compatability::test_f_test PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitL1Compatability::test_bad_r_matrix PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestL1AlphaZeroLogit::test_basic_results PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestL1AlphaZeroLogit::test_tests PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestL1AlphaZeroLogit::test_converged PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestL1AlphaZeroProbit::test_basic_results PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestL1AlphaZeroProbit::test_tests PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestL1AlphaZeroMNLogit::test_basic_results PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_dydxoverall PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_dydxmean PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_dydxmedian PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_dydxzero PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_dyexoverall PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_dyexmean PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_dyexmedian PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_dyexzero PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_eydxoverall PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_eydxmean PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_eydxmedian PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_eydxzero PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_eyexoverall PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_eyexmean PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_eyexmedian PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_eyexzero PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_dummy_dydxoverall PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_dummy_dydxmean PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_dummy_eydxoverall PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_dummy_eydxmean PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_count_dydxoverall PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_count_dydxmean PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_count_dummy_dydxoverall PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_count_dummy_dydxmean PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_fit_regularized_invalid_method PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_params PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_conf_int PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_zstat PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_pvalues PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_cov_params PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_llf PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_llnull PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_llr PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_llr_pvalue PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_normalized_cov_params XFAIL [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_bse PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_dof PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_aic PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_bic PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_predict PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_predict_xb PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_loglikeobs PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_jac PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_summary_latex PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_pred_table PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_resid_dev PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_resid_generalized PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_resid_response PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_resid_pearson PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_exog1 PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_exog2 PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_dummy_exog1 PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_dummy_exog2 PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_diagnostic PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_dydxoverall PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_dydxmean PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_dydxmedian PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_dydxzero PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_dyexoverall PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_dyexmean PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_dyexmedian PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_dyexzero PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_eydxoverall PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_eydxmean PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_eydxmedian PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_eydxzero PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_eyexoverall PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_eyexmean PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_eyexmedian PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_eyexzero PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_dummy_dydxoverall PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_dummy_dydxmean PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_dummy_eydxoverall PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_dummy_eydxmean PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_count_dydxoverall PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_count_dydxmean PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_count_dummy_dydxoverall PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_count_dummy_dydxmean PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_resid_pearson PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_exog1 PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_exog2 PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_dummy_exog1 PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_dummy_exog2 PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_dydxoverall PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_dydxmean PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_dydxmedian PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_dydxzero PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_dyexoverall PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_dyexmean PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_dyexmedian PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_dyexzero PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_eydxoverall PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_eydxmean PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_eydxmedian PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_eydxzero PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_eyexoverall PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_eyexmean PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_eyexmedian PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_eyexzero PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_dummy_dydxoverall PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_dummy_dydxmean PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_dummy_eydxoverall PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_dummy_eydxmean PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_count_dydxoverall PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_count_dydxmean PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_count_dummy_dydxoverall PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_count_dummy_dydxmean PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_fit_regularized_invalid_method PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_params PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_conf_int PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_zstat PASSED [ 5%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_pvalues PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_cov_params PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_llf PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_llnull PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_llr PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_llr_pvalue PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_normalized_cov_params XFAIL [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_bse PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_dof PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_aic PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_bic PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_predict PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_predict_xb PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_loglikeobs PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_jac PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_summary_latex PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_pred_table PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_resid_dev PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_resid_generalized PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_resid_response PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_fit_regularized_invalid_method PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_params PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_conf_int PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_zstat PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_pvalues PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_llf PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_llnull PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_llr PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_llr_pvalue PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_normalized_cov_params XFAIL [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_bse PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_dof PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_aic PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_bic PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_predict PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_predict_xb PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_loglikeobs PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_jac PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_summary_latex PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_margeff_overall PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_margeff_dummy_overall PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_resid PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_predict_prob PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_cov_params XFAIL [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_fit_regularized_invalid_method PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_cov_params SKIPPED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_llf PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_llnull PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_llr PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_llr_pvalue PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_normalized_cov_params XFAIL [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_dof PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_aic PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_bic PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_loglikeobs PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_jac PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_summary_latex PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_pvalues XFAIL [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_bse PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_params PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_alpha PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_conf_int PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_zstat PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_fittedvalues PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_predict PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_predict_xb PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_fit_regularized_invalid_method PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_cov_params SKIPPED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_llf PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_llnull PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_llr PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_llr_pvalue PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_normalized_cov_params XFAIL [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_bse PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_dof PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_aic PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_bic PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_loglikeobs PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_jac PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_summary_latex PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_pvalues XFAIL [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_zstat PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_lnalpha PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_params PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_conf_int PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_predict XFAIL [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_predict_xb XFAIL [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_fit_regularized_invalid_method PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_cov_params SKIPPED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_llf PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_llnull PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_llr PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_llr_pvalue PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_normalized_cov_params XFAIL [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_dof PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_aic PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_bic PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_loglikeobs PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_jac PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_summary_latex PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_pvalues XFAIL [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_bse PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_params PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_alpha PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_conf_int PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_zstat PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_fittedvalues PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_predict PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_predict_xb PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_fit_regularized_invalid_method PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_cov_params SKIPPED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_llf PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_llnull PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_llr PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_llr_pvalue PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_normalized_cov_params XFAIL [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_bse PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_dof PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_aic PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_bic PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_loglikeobs PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_jac PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_summary_latex PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_pvalues XFAIL [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_zstat PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_lnalpha PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_params PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_conf_int PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_predict XFAIL [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_predict_xb XFAIL [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_fit_regularized_invalid_method PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_cov_params SKIPPED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_llnull PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_llr_pvalue PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_normalized_cov_params XFAIL [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_dof PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_loglikeobs PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_jac PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_summary_latex PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_pvalues XFAIL [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_aic PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_bic PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_conf_int PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_fittedvalues PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_predict PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_params PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_predict_xb PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_zstat PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_llf PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_llr PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_bse PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_fit_regularized_invalid_method PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_params PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_conf_int PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_zstat PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_pvalues PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_llf PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_llnull PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_llr PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_llr_pvalue PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_normalized_cov_params XFAIL [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_bse PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_dof PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_aic PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_bic PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_predict PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_predict_xb PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_loglikeobs PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_jac PASSED [ 6%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_summary_latex PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_margeff_overall PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_margeff_mean PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_margeff_dummy PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_j PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_k PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_endog_names PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_pred_table PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_resid PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_cov_params XFAIL [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_fit_regularized_invalid_method PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_params PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_conf_int PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_zstat PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_pvalues PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_llf PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_llnull PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_llr PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_llr_pvalue PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_normalized_cov_params XFAIL [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_bse PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_dof PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_aic PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_bic PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_predict PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_predict_xb PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_loglikeobs PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_jac PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_summary_latex PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_margeff_overall PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_margeff_mean PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_margeff_dummy PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_j PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_k PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_endog_names PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_pred_table PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_resid PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_cov_params XFAIL [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::test_perfect_prediction PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::test_poisson_predict PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::test_poisson_newton PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::test_issue_339 PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::test_issue_341 PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::test_iscount PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::test_isdummy PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::test_non_binary PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::test_mnlogit_factor PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::test_mnlogit_factor_categorical PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::test_formula_missing_exposure PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::test_predict_with_exposure PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::test_binary_pred_table_zeros PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p2::test_bse PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p2::test_params PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p2::test_alpha PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p2::test_conf_int PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p2::test_aic PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p2::test_bic PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p2::test_df PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p2::test_llf PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p2::test_wald PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p2::test_t PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_transparams::test_bse PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_transparams::test_params PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_transparams::test_alpha PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_transparams::test_conf_int PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_transparams::test_aic PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_transparams::test_bic PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_transparams::test_df PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_transparams::test_llf PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p1::test_llf PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p1::test_score PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p1::test_hessian PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p1::test_t PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p1::test_fit_regularized PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p1::test_init_kwds PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_underdispersion::test_basic PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_underdispersion::test_newton PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_underdispersion::test_mean_var PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_underdispersion::test_predict_prob PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_fit_regularized_invalid_method PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_cov_params SKIPPED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_llf PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_llnull PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_llr PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_llr_pvalue PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_normalized_cov_params XFAIL [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_dof PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_aic PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_bic PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_loglikeobs PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_jac PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_summary_latex PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_pvalues XFAIL [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_bse PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_params PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_alpha PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_conf_int PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_zstat PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_fittedvalues PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_predict PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_predict_xb PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_fit_regularized_invalid_method PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_cov_params SKIPPED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_llf PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_llnull PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_llr PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_llr_pvalue PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_normalized_cov_params XFAIL [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_bse PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_dof PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_aic PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_bic PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_loglikeobs PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_jac PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_summary_latex PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_pvalues XFAIL [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_zstat PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_lnalpha PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_params PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_conf_int PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_predict PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_predict_xb PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_fit_regularized_invalid_method PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_cov_params SKIPPED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_llf PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_llnull PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_llr PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_llr_pvalue PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_normalized_cov_params XFAIL [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_dof PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_aic PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_bic PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_loglikeobs PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_jac PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_summary_latex PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_pvalues XFAIL [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_bse PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_params PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_alpha PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_conf_int PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_zstat PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_fittedvalues PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_predict PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_predict_xb PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_fit_regularized_invalid_method PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_cov_params SKIPPED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_llnull PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_llr_pvalue PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_normalized_cov_params XFAIL [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_dof PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_loglikeobs PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_jac PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_summary_latex PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_pvalues XFAIL [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_bse PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_aic PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_bic PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_llf PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_llr PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_zstat PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_lnalpha PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_params PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_conf_int PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_predict PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_predict_xb PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_init_kwds PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPL1Compatability::test_params PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPL1Compatability::test_cov_params PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPL1Compatability::test_df PASSED [ 7%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPL1Compatability::test_t_test PASSED [ 8%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPL1Compatability::test_f_test PASSED [ 8%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPL1Compatability::test_bad_r_matrix PASSED [ 8%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPPredictProb::test_predict_prob_p1 PASSED [ 8%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPPredictProb::test_predict_prob_p2 PASSED [ 8%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestPoissonNull::test_llnull PASSED [ 8%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Null::test_llnull PASSED [ 8%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Null::test_llnull PASSED [ 8%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNBP2Null::test_llnull PASSED [ 8%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNBP2Null::test_start_null PASSED [ 8%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNBP1Null::test_llnull PASSED [ 8%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNBP1Null::test_start_null PASSED [ 8%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoissonNull::test_llnull PASSED [ 8%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::test_null_options PASSED [ 8%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::test_optim_kwds_prelim PASSED [ 8%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::test_unchanging_degrees_of_freedom PASSED [ 8%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::test_mnlogit_float_name PASSED [ 8%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::test_cov_confint_pandas PASSED [ 8%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::test_t_test PASSED [ 8%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_margins.py::TestPoissonMargin::test_margins_table PASSED [ 8%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_margins.py::TestPoissonMarginDummy::test_margins_table PASSED [ 8%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_margins.py::TestNegBinMargin::test_margins_table PASSED [ 8%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_margins.py::TestNegBinMarginDummy::test_margins_table PASSED [ 8%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_margins.py::TestNegBinPMargin::test_margins_table PASSED [ 8%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonClu::test_basic PASSED [ 8%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonClu::test_oth PASSED [ 8%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonClu::test_ttest PASSED [ 8%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonClu::test_waldtest PASSED [ 8%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonCluGeneric::test_basic PASSED [ 8%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonCluGeneric::test_oth PASSED [ 8%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonCluGeneric::test_ttest PASSED [ 8%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonCluGeneric::test_waldtest PASSED [ 8%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonHC1Generic::test_basic PASSED [ 8%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonHC1Generic::test_oth PASSED [ 8%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonHC1Generic::test_ttest PASSED [ 8%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonHC1Generic::test_waldtest PASSED [ 8%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonCluFit::test_basic PASSED [ 8%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonCluFit::test_oth PASSED [ 8%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonCluFit::test_ttest PASSED [ 8%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonCluFit::test_waldtest PASSED [ 8%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonCluFit::test_basic_inference PASSED [ 8%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonHC1Fit::test_basic PASSED [ 8%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonHC1Fit::test_oth PASSED [ 8%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonHC1Fit::test_ttest PASSED [ 8%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonHC1Fit::test_waldtest PASSED [ 8%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonHC1FitExposure::test_basic PASSED [ 8%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonHC1FitExposure::test_oth PASSED [ 8%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonHC1FitExposure::test_ttest PASSED [ 8%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonHC1FitExposure::test_waldtest PASSED [ 8%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonCluExposure::test_basic PASSED [ 8%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonCluExposure::test_oth PASSED [ 8%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonCluExposure::test_ttest PASSED [ 8%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonCluExposure::test_waldtest PASSED [ 8%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonCluExposureGeneric::test_basic PASSED [ 8%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonCluExposureGeneric::test_oth PASSED [ 8%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonCluExposureGeneric::test_ttest PASSED [ 8%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonCluExposureGeneric::test_waldtest PASSED [ 8%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMPoissonClu::test_basic PASSED [ 8%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMPoissonClu::test_oth PASSED [ 8%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMPoissonClu::test_ttest PASSED [ 8%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMPoissonClu::test_waldtest PASSED [ 8%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMPoissonCluGeneric::test_basic PASSED [ 8%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMPoissonCluGeneric::test_oth PASSED [ 8%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMPoissonCluGeneric::test_ttest PASSED [ 8%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMPoissonCluGeneric::test_waldtest PASSED [ 8%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMPoissonHC1Generic::test_basic PASSED [ 8%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMPoissonHC1Generic::test_oth PASSED [ 8%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMPoissonHC1Generic::test_ttest PASSED [ 8%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMPoissonHC1Generic::test_waldtest PASSED [ 8%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMPoissonCluFit::test_basic PASSED [ 8%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMPoissonCluFit::test_oth PASSED [ 8%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMPoissonCluFit::test_ttest PASSED [ 8%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMPoissonCluFit::test_waldtest PASSED [ 8%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMPoissonHC1Fit::test_basic PASSED [ 8%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMPoissonHC1Fit::test_oth PASSED [ 8%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMPoissonHC1Fit::test_ttest PASSED [ 8%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMPoissonHC1Fit::test_waldtest PASSED [ 8%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestNegbinClu::test_basic PASSED [ 8%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestNegbinClu::test_oth PASSED [ 8%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestNegbinClu::test_ttest PASSED [ 8%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestNegbinClu::test_waldtest PASSED [ 8%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestNegbinCluExposure::test_basic PASSED [ 8%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestNegbinCluExposure::test_oth PASSED [ 8%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestNegbinCluExposure::test_ttest PASSED [ 8%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestNegbinCluExposure::test_waldtest PASSED [ 8%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestNegbinCluGeneric::test_basic PASSED [ 8%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestNegbinCluGeneric::test_oth PASSED [ 8%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestNegbinCluGeneric::test_ttest PASSED [ 8%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestNegbinCluGeneric::test_waldtest PASSED [ 8%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestNegbinCluFit::test_basic PASSED [ 8%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestNegbinCluFit::test_oth PASSED [ 8%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestNegbinCluFit::test_ttest PASSED [ 8%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestNegbinCluFit::test_waldtest PASSED [ 8%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestNegbinCluExposureFit::test_basic PASSED [ 8%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestNegbinCluExposureFit::test_oth PASSED [ 8%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestNegbinCluExposureFit::test_ttest PASSED [ 8%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestNegbinCluExposureFit::test_waldtest PASSED [ 8%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMLogit::test_basic PASSED [ 8%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMProbit::test_basic PASSED [ 8%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMProbit::test_score_hessian PASSED [ 8%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMGaussNonRobust::test_basic PASSED [ 8%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMGaussClu::test_basic PASSED [ 8%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMGaussHC::test_basic PASSED [ 8%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMGaussHAC::test_basic PASSED [ 8%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/families/tests/test_family.py::test_invalid_family_link[Gamma-links2] PASSED [ 10%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/families/tests/test_family.py::test_invalid_family_link[Binomial-links3] PASSED [ 10%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/families/tests/test_family.py::test_invalid_family_link[InverseGaussian-links4] PASSED [ 10%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/families/tests/test_family.py::test_invalid_family_link[NegativeBinomial-links5] PASSED [ 10%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/families/tests/test_family.py::test_invalid_family_link[Tweedie-links6] PASSED [ 10%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/families/tests/test_family.py::test_family_link[Poisson-links0] PASSED [ 10%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/families/tests/test_family.py::test_family_link[Gaussian-links1] PASSED [ 10%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/families/tests/test_family.py::test_family_link[Gamma-links2] PASSED [ 10%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/families/tests/test_family.py::test_family_link[Binomial-links3] PASSED [ 10%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/families/tests/test_family.py::test_family_link[InverseGaussian-links4] PASSED [ 10%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/families/tests/test_family.py::test_family_link[NegativeBinomial-links5] PASSED [ 10%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/families/tests/test_family.py::test_family_link[Tweedie-links6] PASSED [ 10%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/families/tests/test_link.py::test_inverse PASSED [ 10%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/families/tests/test_link.py::test_deriv PASSED [ 10%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/families/tests/test_link.py::test_deriv2 PASSED [ 10%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/families/tests/test_link.py::test_inverse_deriv PASSED [ 10%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/families/tests/test_link.py::test_inverse_deriv2 PASSED [ 10%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/families/tests/test_link.py::test_invlogit_stability PASSED [ 10%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/families/tests/test_link.py::test_cdflink[link10-link20-__call__] PASSED [ 10%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/families/tests/test_link.py::test_cdflink[link10-link20-deriv] PASSED [ 10%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/families/tests/test_link.py::test_cdflink[link10-link20-inverse] PASSED [ 10%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/families/tests/test_link.py::test_cdflink[link10-link20-inverse_deriv] PASSED [ 10%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/families/tests/test_link.py::test_cdflink[link10-link20-deriv2] PASSED [ 10%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/families/tests/test_link.py::test_cdflink[link10-link20-inverse_deriv2] PASSED [ 10%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/families/tests/test_link.py::test_cdflink[link11-link21-__call__] PASSED [ 10%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/families/tests/test_link.py::test_cdflink[link11-link21-deriv] PASSED [ 10%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/families/tests/test_link.py::test_cdflink[link11-link21-inverse] PASSED [ 10%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/families/tests/test_link.py::test_cdflink[link11-link21-inverse_deriv] PASSED [ 10%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/families/tests/test_link.py::test_cdflink[link11-link21-deriv2] PASSED [ 10%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/families/tests/test_link.py::test_cdflink[link11-link21-inverse_deriv2] PASSED [ 10%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/families/tests/test_link.py::test_cdflink[link12-link22-__call__] PASSED [ 10%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/families/tests/test_link.py::test_cdflink[link12-link22-deriv] PASSED [ 10%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/families/tests/test_link.py::test_cdflink[link12-link22-inverse] PASSED [ 10%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/families/tests/test_link.py::test_cdflink[link12-link22-inverse_deriv] PASSED [ 10%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/families/tests/test_link.py::test_cdflink[link12-link22-deriv2] PASSED [ 10%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/families/tests/test_link.py::test_cdflink[link13-link23-__call__] PASSED [ 10%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/families/tests/test_link.py::test_cdflink[link14-link24-__call__] PASSED [ 10%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/families/tests/test_link.py::test_cdflink[link14-link24-deriv] PASSED [ 10%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/families/tests/test_link.py::test_cdflink[link14-link24-inverse] PASSED [ 10%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/families/tests/test_link.py::test_cdflink[link14-link24-inverse_deriv] PASSED [ 10%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/families/tests/test_link.py::test_cdflink[link14-link24-deriv2] PASSED [ 10%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/families/tests/test_link.py::test_cdflink[link14-link24-inverse_deriv2] PASSED [ 10%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/families/tests/test_link.py::test_cdflink[link15-link25-__call__] PASSED [ 10%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/families/tests/test_link.py::test_cdflink[link15-link25-deriv] PASSED [ 10%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/families/tests/test_link.py::test_cdflink[link15-link25-inverse] PASSED [ 10%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/families/tests/test_link.py::test_cdflink[link15-link25-inverse_deriv] PASSED [ 10%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/families/tests/test_link.py::test_cdflink[link15-link25-deriv2] PASSED [ 10%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/families/tests/test_link.py::test_cdflink[link15-link25-inverse_deriv2] PASSED [ 10%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_bayes_mixed_glm.py::test_simple_logit_map PASSED [ 10%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_bayes_mixed_glm.py::test_simple_poisson_map PASSED [ 10%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_bayes_mixed_glm.py::test_poisson_formula PASSED [ 10%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_bayes_mixed_glm.py::test_scale_vb PASSED [ 10%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_bayes_mixed_glm.py::test_scale_map PASSED [ 10%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_bayes_mixed_glm.py::test_doc_examples PASSED [ 10%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_constrained.py::TestGLMGaussianOffset::test_params PASSED [ 10%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_constrained.py::TestGLMGaussianOffsetHC::test_params PASSED [ 10%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_constrained.py::TestGLMGaussianOffsetHC::test_se PASSED [ 10%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_constrained.py::TestGLMGaussianOffsetHC::test_resid PASSED [ 10%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_constrained.py::TestGLMGaussianConstrainedHC::test_se PASSED [ 10%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_constrained.py::TestGLMGaussianConstrainedHC::test_resid PASSED [ 10%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_constrained.py::TestGLMWtdGaussianOffset::test_params PASSED [ 10%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_constrained.py::TestGLMWtdGaussianOffset::test_se PASSED [ 10%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_constrained.py::TestGLMWtdGaussianConstrained::test_resid PASSED [ 10%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_constrained.py::TestGLMWtdGaussianOffsetHC::test_params PASSED [ 10%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_constrained.py::TestGLMWtdGaussianOffsetHC::test_se PASSED [ 10%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_constrained.py::TestGLMWtdGaussianConstrainedHC::test_params PASSED [ 10%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_constrained.py::TestGLMWtdGaussianConstrainedHC::test_se PASSED [ 10%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_constrained.py::TestGLMWtdGaussianConstrainedHC::test_resid PASSED [ 10%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_constrained.py::TestGLMBinomialCountConstrained::test_params PASSED [ 10%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_constrained.py::TestGLMBinomialCountConstrained::test_se PASSED [ 10%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_constrained.py::TestGLMBinomialCountConstrained::test_resid PASSED [ 10%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_constrained.py::TestGLMBinomialCountConstrained::test_glm_attr PASSED [ 10%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_constrained.py::TestGLMBinomialCountConstrained::test_wald PASSED [ 10%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_constrained.py::TestGLMBinomialCountConstrainedHC::test_glm_attr PASSED [ 10%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_constrained.py::TestGLMBinomialCountConstrainedHC::test_wald PASSED [ 10%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_margins_gaussian PASSED [ 10%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_margins_logistic PASSED [ 10%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_margins_multinomial PASSED [ 10%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_nominal_plot PASSED [ 10%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_margins_poisson PASSED [ 10%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_multinomial PASSED [ 10%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_weighted PASSED [ 10%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_poisson_epil PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_missing PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_missing_formula PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_invalid_args[False-False] PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_invalid_args[False-True] PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_invalid_args[True-False] PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_invalid_args[True-True] PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_default_time PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_logistic PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_autoregressive PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_post_estimation PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_scoretest PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_compare_score_test[Independence] PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_compare_score_test[Exchangeable] PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_compare_score_test_warnings PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_constraint_covtype PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_linear PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_linear_constrained PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_nested_linear PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_nested_pandas PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_ordinal PASSED [ 11%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_ordinal_independence PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_nominal_independence PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_ordinal_plot PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_nominal PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_poisson PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_groups PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_compare_OLS PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_formulas PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_compare_logit PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_compare_poisson PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_predict PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_stationary_grid PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_stationary_nogrid PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_predict_exposure PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_offset_formula PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_sensitivity PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_equivalence PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_equivalence_from_pairs PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEEPoissonCovType::test_cov_type PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEEPoissonCovType::test_wrapper PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEEPoissonFormulaCovType::test_cov_type PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEEOrdinalCovType::test_cov_type PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEEOrdinalCovType::test_wrapper PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEEMultinomialCovType::test_cov_type PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEEMultinomialCovType::test_wrapper PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_gee.py::test_regularized_poisson PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_gee.py::test_regularized_gaussian PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_gee.py::test_plots PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_gee.py::test_missing PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_gee.py::test_ql_known[Gaussian] PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_gee.py::test_ql_known[Poisson] PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_gee.py::test_ql_diff[Gaussian] PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_gee.py::test_ql_diff[Binomial] PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_gee.py::test_ql_diff[Poisson] PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_gee.py::test_qic_warnings PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_gee.py::test_quasipoisson[False] PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_gee.py::test_quasipoisson[True] PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_gee.py::test_grid_ar PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_gee.py::test_unstructured_complete PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_gee.py::test_unstructured_incomplete PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_gee.py::test_ar_covsolve PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_gee.py::test_ex_covsolve PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_gee.py::test_stationary_covsolve PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_gee_glm.py::TestCompareLogit::test_basic PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_gee_glm.py::TestCompareLogit::test_resid PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_gee_glm.py::TestComparePoisson::test_basic PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_gee_glm.py::TestComparePoisson::test_resid PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_gee_glm.py::TestCompareGaussian::test_basic PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_gee_glm.py::TestCompareGaussian::test_resid PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_gee_glm.py::TestCompareGamma::test_basic PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_gee_glm.py::TestCompareGamma::test_resid PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_params PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_standard_errors PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_residuals PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_aic_R PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_aic_Stata PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_deviance PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_scale PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_loglike PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_null_deviance PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_bic PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_degrees PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_fittedvalues PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_tpvalues PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_pearson_chi2 PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_prsquared PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_summary PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_summary2 PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_get_distribution PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_compare_OLS PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussianGradient::test_params PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussianGradient::test_standard_errors PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussianGradient::test_residuals PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussianGradient::test_aic_R PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussianGradient::test_aic_Stata PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussianGradient::test_deviance PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussianGradient::test_scale PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussianGradient::test_loglike PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussianGradient::test_null_deviance PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussianGradient::test_bic PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussianGradient::test_degrees PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussianGradient::test_fittedvalues PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussianGradient::test_tpvalues PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussianGradient::test_pearson_chi2 PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussianGradient::test_prsquared PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussianGradient::test_summary PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussianGradient::test_summary2 PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussianGradient::test_get_distribution PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussianGradient::test_compare_OLS PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_params PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_standard_errors PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_residuals PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_aic_R PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_aic_Stata PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_deviance PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_scale PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_loglike PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_null_deviance PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_bic PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_degrees PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_fittedvalues PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_tpvalues PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_pearson_chi2 PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_prsquared PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_summary PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_summary2 PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_get_distribution PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGaussianInverse::test_params PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGaussianInverse::test_standard_errors PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGaussianInverse::test_residuals PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGaussianInverse::test_aic_R PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGaussianInverse::test_aic_Stata PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGaussianInverse::test_deviance PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGaussianInverse::test_scale PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGaussianInverse::test_loglike PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGaussianInverse::test_null_deviance PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGaussianInverse::test_bic PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGaussianInverse::test_degrees PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGaussianInverse::test_fittedvalues PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGaussianInverse::test_tpvalues PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGaussianInverse::test_pearson_chi2 PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGaussianInverse::test_prsquared PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGaussianInverse::test_summary PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGaussianInverse::test_summary2 PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGaussianInverse::test_get_distribution PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBinomial::test_params PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBinomial::test_standard_errors PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBinomial::test_residuals PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBinomial::test_aic_R PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBinomial::test_aic_Stata PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBinomial::test_deviance PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBinomial::test_scale PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBinomial::test_loglike PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBinomial::test_null_deviance PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBinomial::test_bic PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBinomial::test_degrees PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBinomial::test_fittedvalues PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBinomial::test_tpvalues PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBinomial::test_pearson_chi2 PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBinomial::test_prsquared PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBinomial::test_summary PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBinomial::test_summary2 PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBinomial::test_get_distribution PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBinomial::test_endog_dtype PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBinomial::test_invalid_endog PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBinomial::test_invalid_endog_formula PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBinomial::test_get_distribution_binom_count PASSED [ 11%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBernoulli::test_compare_discrete PASSED [ 12%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBernoulli::test_score_test PASSED [ 12%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBernoulli::test_params PASSED [ 12%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBernoulli::test_standard_errors PASSED [ 12%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBernoulli::test_residuals PASSED [ 12%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBernoulli::test_aic_R PASSED [ 12%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBernoulli::test_aic_Stata PASSED [ 12%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBernoulli::test_deviance PASSED [ 12%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBernoulli::test_scale PASSED [ 12%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBernoulli::test_loglike PASSED [ 12%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBernoulli::test_null_deviance PASSED [ 12%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBernoulli::test_bic PASSED [ 12%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBernoulli::test_degrees PASSED [ 12%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBernoulli::test_fittedvalues PASSED [ 12%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBernoulli::test_tpvalues PASSED [ 12%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBernoulli::test_pearson_chi2 PASSED [ 12%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBernoulli::test_prsquared PASSED [ 12%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBernoulli::test_summary PASSED [ 12%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBernoulli::test_summary2 PASSED [ 12%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgauss::test_null_deviance PASSED [ 12%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgauss::test_bic PASSED [ 12%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgauss::test_degrees PASSED [ 12%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgauss::test_fittedvalues PASSED [ 12%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgauss::test_pearson_chi2 PASSED [ 12%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgauss::test_prsquared PASSED [ 12%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussLog::test_params PASSED [ 12%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussLog::test_residuals PASSED [ 12%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussLog::test_aic_R PASSED [ 12%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussLog::test_aic_Stata PASSED [ 12%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussLog::test_deviance PASSED [ 12%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussLog::test_scale PASSED [ 12%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussLog::test_loglike PASSED [ 12%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussLog::test_degrees PASSED [ 12%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussLog::test_fittedvalues PASSED [ 12%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussLog::test_pearson_chi2 PASSED [ 12%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussLog::test_summary PASSED [ 12%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussIdentity::test_params PASSED [ 12%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussIdentity::test_standard_errors PASSED [ 12%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussIdentity::test_residuals PASSED [ 12%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussIdentity::test_aic_R PASSED [ 12%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussIdentity::test_aic_Stata PASSED [ 12%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussIdentity::test_deviance PASSED [ 12%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussIdentity::test_scale PASSED [ 12%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussIdentity::test_loglike PASSED [ 12%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussIdentity::test_null_deviance PASSED [ 12%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussIdentity::test_bic PASSED [ 12%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussIdentity::test_degrees PASSED [ 12%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussIdentity::test_fittedvalues PASSED [ 12%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussIdentity::test_tpvalues PASSED [ 12%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussIdentity::test_pearson_chi2 PASSED [ 12%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussIdentity::test_prsquared PASSED [ 12%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussIdentity::test_summary PASSED [ 12%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmNegbinomial::test_params PASSED [ 12%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmNegbinomial::test_standard_errors PASSED [ 12%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmNegbinomial::test_residuals PASSED [ 12%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmNegbinomial::test_aic_R PASSED [ 12%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmNegbinomial::test_aic_Stata PASSED [ 12%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmNegbinomial::test_deviance PASSED [ 12%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmNegbinomial::test_scale PASSED [ 12%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmNegbinomial::test_loglike PASSED [ 12%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmNegbinomial::test_null_deviance PASSED [ 12%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmNegbinomial::test_bic PASSED [ 12%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmNegbinomial::test_degrees PASSED [ 12%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmNegbinomial::test_fittedvalues PASSED [ 12%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmNegbinomial::test_tpvalues PASSED [ 12%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmNegbinomial::test_pearson_chi2 PASSED [ 12%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmNegbinomial::test_prsquared PASSED [ 12%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmNegbinomial::test_summary PASSED [ 12%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmNegbinomial::test_summary2 PASSED [ 12%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmNegbinomial::test_get_distribution PASSED [ 12%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmPoissonOffset::test_params PASSED [ 12%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmPoissonOffset::test_standard_errors PASSED [ 12%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmPoissonOffset::test_residuals PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmPoissonOffset::test_aic_R PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmPoissonOffset::test_aic_Stata PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmPoissonOffset::test_deviance PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmPoissonOffset::test_scale PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmPoissonOffset::test_loglike PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmPoissonOffset::test_null_deviance PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmPoissonOffset::test_bic PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmPoissonOffset::test_degrees PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmPoissonOffset::test_fittedvalues PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmPoissonOffset::test_tpvalues PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmPoissonOffset::test_pearson_chi2 PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmPoissonOffset::test_prsquared PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmPoissonOffset::test_summary PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmPoissonOffset::test_summary2 PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmPoissonOffset::test_get_distribution PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmPoissonOffset::test_missing PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmPoissonOffset::test_offset_exposure PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmPoissonOffset::test_predict PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::test_perfect_pred PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::test_score_test_ols PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::test_attribute_writable_resettable PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestStartParams::test_params PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestStartParams::test_standard_errors PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestStartParams::test_residuals PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestStartParams::test_aic_R PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestStartParams::test_aic_Stata PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestStartParams::test_deviance PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestStartParams::test_scale PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestStartParams::test_loglike PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestStartParams::test_null_deviance PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestStartParams::test_bic PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestStartParams::test_degrees PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestStartParams::test_fittedvalues PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestStartParams::test_tpvalues PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestStartParams::test_pearson_chi2 PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestStartParams::test_prsquared PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestStartParams::test_summary PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestStartParams::test_summary2 PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestStartParams::test_get_distribution PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::test_glm_start_params PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::test_loglike_no_opt PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::test_formula_missing_exposure PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::test_plots PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::test_summary PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::test_gradient_irls PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::test_gradient_irls_eim PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::test_glm_irls_method PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoisson::test_params PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoisson::test_standard_errors PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoisson::test_aic PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoisson::test_deviance PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoisson::test_scale PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoisson::test_loglike PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoisson::test_null_deviance PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoisson::test_bic PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoisson::test_fittedvalues PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoisson::test_tpvalues PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonNewton::test_params PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonNewton::test_standard_errors PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonNewton::test_aic PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonNewton::test_deviance PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonNewton::test_scale PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonNewton::test_loglike PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonNewton::test_null_deviance PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonNewton::test_bic PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonNewton::test_fittedvalues PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonNewton::test_tpvalues PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonHC0::test_params PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonHC0::test_standard_errors PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonHC0::test_aic PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonHC0::test_deviance PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonHC0::test_scale PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonHC0::test_loglike PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonHC0::test_null_deviance PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonHC0::test_bic PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonHC0::test_fittedvalues PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonHC0::test_tpvalues PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonClu::test_params PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonClu::test_standard_errors PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonClu::test_aic PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonClu::test_deviance PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonClu::test_scale PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonClu::test_loglike PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonClu::test_null_deviance PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonClu::test_bic PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonClu::test_fittedvalues PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonClu::test_tpvalues PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmBinomial::test_params PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmBinomial::test_standard_errors PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmBinomial::test_aic PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmBinomial::test_deviance PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmBinomial::test_scale PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmBinomial::test_loglike PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmBinomial::test_null_deviance PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmBinomial::test_bic PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmBinomial::test_fittedvalues PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmBinomial::test_tpvalues PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmNegativeBinomial::test_params PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmNegativeBinomial::test_standard_errors PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmNegativeBinomial::test_aic PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmNegativeBinomial::test_deviance PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmNegativeBinomial::test_scale PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmNegativeBinomial::test_loglike PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmNegativeBinomial::test_null_deviance PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmNegativeBinomial::test_bic PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmNegativeBinomial::test_fittedvalues PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmNegativeBinomial::test_tpvalues PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGamma::test_params PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGamma::test_standard_errors PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGamma::test_aic PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGamma::test_deviance PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGamma::test_scale PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGamma::test_loglike PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGamma::test_null_deviance PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGamma::test_bic PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGamma::test_fittedvalues PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGamma::test_tpvalues PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGaussian::test_params PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGaussian::test_standard_errors PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGaussian::test_aic PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGaussian::test_deviance PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGaussian::test_scale PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGaussian::test_loglike PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGaussian::test_null_deviance PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGaussian::test_bic PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGaussian::test_fittedvalues PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGaussian::test_tpvalues PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmInverseGaussian::test_params PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmInverseGaussian::test_standard_errors PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmInverseGaussian::test_aic PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmInverseGaussian::test_deviance PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmInverseGaussian::test_scale PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmInverseGaussian::test_loglike PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmInverseGaussian::test_null_deviance PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmInverseGaussian::test_bic PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmInverseGaussian::test_fittedvalues PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmInverseGaussian::test_tpvalues PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaNewton::test_params PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaNewton::test_standard_errors PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaNewton::test_aic PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaNewton::test_deviance PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaNewton::test_scale PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaNewton::test_loglike PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaNewton::test_null_deviance PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaNewton::test_bic PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaNewton::test_fittedvalues PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaNewton::test_tpvalues PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaNewton::test_init_kwargs PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaScale_X2::test_params PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaScale_X2::test_standard_errors PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaScale_X2::test_aic PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaScale_X2::test_deviance PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaScale_X2::test_scale PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaScale_X2::test_loglike PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaScale_X2::test_null_deviance PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaScale_X2::test_bic PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaScale_X2::test_fittedvalues PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaScale_X2::test_tpvalues PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaScale_dev::test_params PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaScale_dev::test_standard_errors PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaScale_dev::test_aic PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaScale_dev::test_deviance PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaScale_dev::test_scale PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaScale_dev::test_loglike PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaScale_dev::test_null_deviance PASSED [ 13%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaScale_dev::test_fittedvalues PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaScale_dev::test_tpvalues PASSED [ 13%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaScale_dev::test_missing PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdTweedieLog::test_params PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdTweedieLog::test_standard_errors PASSED [ 14%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdTweedieLog::test_deviance PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdTweedieLog::test_scale PASSED [ 14%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdTweedieLog::test_null_deviance PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdTweedieLog::test_bic PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdTweedieLog::test_fittedvalues PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdTweedieLog::test_tpvalues PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdTweediePower2::test_params PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdTweediePower2::test_standard_errors PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdTweediePower2::test_aic PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdTweediePower2::test_deviance PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdTweediePower2::test_scale PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdTweediePower2::test_loglike PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdTweediePower2::test_null_deviance PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdTweediePower2::test_bic PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdTweediePower2::test_fittedvalues PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdTweediePower2::test_tpvalues PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdTweediePower15::test_params PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdTweediePower15::test_standard_errors PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdTweediePower15::test_aic PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdTweediePower15::test_deviance PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdTweediePower15::test_scale PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdTweediePower15::test_loglike PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdTweediePower15::test_null_deviance PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdTweediePower15::test_bic PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdTweediePower15::test_fittedvalues PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdTweediePower15::test_tpvalues PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::test_wtd_patsy_missing PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestTweediePower15::test_resid PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestTweediePower15::test_bse PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestTweediePower15::test_params PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestTweediePower15::test_deviance PASSED [ 14%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestTweediePower15::test_fittedvalues PASSED [ 14%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestTweediePower2::test_bse PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestTweediePower2::test_params PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestTweediePower2::test_deviance PASSED [ 14%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestTweediePower2::test_fittedvalues PASSED [ 14%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestTweedieSpecialLog0::test_mu PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestTweedieSpecialLog0::test_resid PASSED [ 14%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::test_tweedie_EQL_upper_limit PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::testTweediePowerEstimate PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::test_glm_lasso_6431 PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestRegularized::test_regularized PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestConvergence::test_convergence_atol_only PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestConvergence::test_convergence_rtol_only PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestConvergence::test_convergence_atol_rtol PASSED [ 14%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestConvergence::test_convergence_atol_rtol_params PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::test_poisson_deviance PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::test_non_invertible_hessian_fails_summary PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::test_int_scale PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::test_int_exog[int8] PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::test_int_exog[int16] PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::test_int_exog[int32] PASSED [ 14%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::test_glm_bic PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::test_glm_bic_warning PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::test_output_exposure_null PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::test_qaic PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm.py::test_tweedie_score PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonPlain::test_basic PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonPlain::test_residuals PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonPlain::test_compare_optimizers PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonPlain::test_pearson_chi2 PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonFwNr::test_basic PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonFwNr::test_residuals PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonFwNr::test_compare_optimizers PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonFwNr::test_pearson_chi2 PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonAwNr::test_basic PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonAwNr::test_residuals PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonAwNr::test_compare_optimizers PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonAwNr::test_pearson_chi2 PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonPwNr::test_residuals PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonPwNr::test_pearson_chi2 PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonPwNr::test_basic XFAIL [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonPwNr::test_compare_optimizers XFAIL [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonFwHC::test_basic PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonFwHC::test_residuals PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonFwHC::test_compare_optimizers PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonFwHC::test_pearson_chi2 PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonAwHC::test_basic PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonAwHC::test_residuals PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonAwHC::test_compare_optimizers PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonAwHC::test_pearson_chi2 PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonFwClu::test_basic PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonFwClu::test_residuals PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonFwClu::test_compare_optimizers PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonFwClu::test_pearson_chi2 PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmTweedieAwNr::test_basic PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmTweedieAwNr::test_residuals PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmTweedieAwNr::test_compare_optimizers PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmTweedieAwNr::test_pearson_chi2 PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmGammaAwNr::test_basic PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmGammaAwNr::test_residuals PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmGammaAwNr::test_compare_optimizers PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmGammaAwNr::test_pearson_chi2 PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmGammaAwNr::test_r_llf PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmGaussianAwNr::test_basic PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmGaussianAwNr::test_residuals PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmGaussianAwNr::test_compare_optimizers PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmGaussianAwNr::test_pearson_chi2 PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmGaussianAwNr::test_r_llf PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::test_wtd_gradient_irls PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestRepeatedvsAggregated::test_basic PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestRepeatedvsAggregated::test_residuals PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestRepeatedvsAggregated::test_compare_optimizers PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestRepeatedvsAggregated::test_pearson_chi2 PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestRepeatedvsAverage::test_basic PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestRepeatedvsAverage::test_residuals PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestRepeatedvsAverage::test_compare_optimizers PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestRepeatedvsAverage::test_pearson_chi2 PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestTweedieRepeatedvsAggregated::test_basic PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestTweedieRepeatedvsAggregated::test_residuals PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestTweedieRepeatedvsAggregated::test_compare_optimizers PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestTweedieRepeatedvsAggregated::test_pearson_chi2 PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestTweedieRepeatedvsAverage::test_basic PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestTweedieRepeatedvsAverage::test_residuals PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestTweedieRepeatedvsAverage::test_compare_optimizers PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestTweedieRepeatedvsAverage::test_pearson_chi2 PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestBinomial0RepeatedvsAverage::test_basic PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestBinomial0RepeatedvsAverage::test_residuals PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestBinomial0RepeatedvsAverage::test_compare_optimizers PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestBinomial0RepeatedvsAverage::test_pearson_chi2 PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestBinomial0RepeatedvsDuplicated::test_basic PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestBinomial0RepeatedvsDuplicated::test_residuals PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestBinomial0RepeatedvsDuplicated::test_compare_optimizers PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestBinomial0RepeatedvsDuplicated::test_pearson_chi2 PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::test_warnings_raised PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::test_weights_different_formats[list] PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::test_weights_different_formats[ndarray] PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::test_weights_different_formats[Series] PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestBinomialVsVarWeights::test_basic PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestBinomialVsVarWeights::test_residuals PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestBinomialVsVarWeights::test_compare_optimizers PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestBinomialVsVarWeights::test_pearson_chi2 PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmGaussianWLS::test_basic PASSED [ 14%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmGaussianWLS::test_residuals PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmGaussianWLS::test_compare_optimizers PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmGaussianWLS::test_pearson_chi2 PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::test_incompatible_input PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::test_poisson_residuals PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_qif.py::test_qif_numdiff[cov_struct0-fam0] PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_qif.py::test_qif_numdiff[cov_struct0-fam1] PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_qif.py::test_qif_numdiff[cov_struct0-fam2] PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_qif.py::test_qif_numdiff[cov_struct1-fam0] PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_qif.py::test_qif_numdiff[cov_struct1-fam1] PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_qif.py::test_qif_numdiff[cov_struct1-fam2] PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_qif.py::test_qif_numdiff[cov_struct2-fam0] PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_qif.py::test_qif_numdiff[cov_struct2-fam1] PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_qif.py::test_qif_numdiff[cov_struct2-fam2] PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_qif.py::test_qif_fit[cov_struct0-fam0] PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_qif.py::test_qif_fit[cov_struct0-fam1] PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_qif.py::test_qif_fit[cov_struct0-fam2] PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_qif.py::test_qif_fit[cov_struct1-fam0] PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_qif.py::test_qif_fit[cov_struct1-fam1] PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_qif.py::test_qif_fit[cov_struct1-fam2] PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_qif.py::test_qif_fit[cov_struct2-fam0] PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_qif.py::test_qif_fit[cov_struct2-fam1] PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_qif.py::test_qif_fit[cov_struct2-fam2] PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_qif.py::test_formula[cov_struct0] PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_qif.py::test_formula[cov_struct1] PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_qif.py::test_formula[cov_struct2] PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_score_test.py::TestScoreTest::test_wald_score PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_score_test.py::TestScoreTest::test_dispersion PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_score_test.py::TestScoreTestDispersed::test_wald_score PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_score_test.py::TestScoreTestDispersed::test_dispersion PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_score_test.py::TestScoreTestPoisson::test_dispersion PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_score_test.py::TestScoreTestPoisson::test_wald_score PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_score_test.py::TestScoreTestPoissonDispersed::test_dispersion PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/genmod/tests/test_score_test.py::TestScoreTestPoissonDispersed::test_wald_score PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_agreement.py::test_mean_diff_plot PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_boxplots.py::test_violinplot PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_boxplots.py::test_violinplot_bw_factor PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_boxplots.py::test_beanplot PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_boxplots.py::test_beanplot_jitter PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_boxplots.py::test_beanplot_side_right PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_boxplots.py::test_beanplot_side_left PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_boxplots.py::test_beanplot_legend_text PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_correlation.py::test_plot_corr PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_correlation.py::test_plot_corr_grid PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_dotplot.py::test_all PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_factorplots.py::TestInteractionPlot::test_plot_both PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_factorplots.py::TestInteractionPlot::test_plot_rainbow PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_factorplots.py::TestInteractionPlot::test_plot_pandas[str] PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_factorplots.py::TestInteractionPlot::test_plot_pandas[int] PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_factorplots.py::TestInteractionPlot::test_formatting PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_factorplots.py::TestInteractionPlot::test_formatting_errors PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_factorplots.py::TestInteractionPlot::test_plottype PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_factorplots.py::TestInteractionPlot::test_recode_series PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_functional.py::test_hdr_basic PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_functional.py::test_hdr_basic_brute PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_functional.py::test_hdr_plot PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_functional.py::test_hdr_alpha PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_functional.py::test_hdr_multiple_alpha PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_functional.py::test_hdr_threshold PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_functional.py::test_hdr_bw PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_functional.py::test_hdr_ncomp PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_functional.py::test_banddepth_BD2 PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_functional.py::test_banddepth_MBD PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_functional.py::test_fboxplot_rainbowplot PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_qqplot PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_ppplot PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_probplot PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_probplot_exceed PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_qqplot_other_array PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_ppplot_other_array PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_probplot_other_array XFAIL [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_qqplot_other_prbplt PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_ppplot_other_prbplt PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_probplot_other_prbplt XFAIL [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_qqplot_custom_labels PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_ppplot_custom_labels PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_probplot_custom_labels PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_qqplot_pltkwargs PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_ppplot_pltkwargs PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_probplot_pltkwargs PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_fit_params PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_qqplot PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_ppplot PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_probplot PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_probplot_exceed PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_qqplot_other_array PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_ppplot_other_array PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_probplot_other_array XFAIL [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_qqplot_other_prbplt PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_ppplot_other_prbplt PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_probplot_other_prbplt XFAIL [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_qqplot_custom_labels PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_ppplot_custom_labels PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_probplot_custom_labels PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_qqplot_pltkwargs PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_ppplot_pltkwargs PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_probplot_pltkwargs PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_fit_params PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_qqplot PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_ppplot PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_probplot PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_probplot_exceed PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_qqplot_other_array PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_ppplot_other_array PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_probplot_other_array XFAIL [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_qqplot_other_prbplt PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_ppplot_other_prbplt PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_probplot_other_prbplt XFAIL [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_qqplot_custom_labels PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_ppplot_custom_labels PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_probplot_custom_labels PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_qqplot_pltkwargs PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_ppplot_pltkwargs PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_probplot_pltkwargs PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_fit_params PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_qqplot PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_ppplot PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_probplot PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_probplot_exceed PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_qqplot_other_array PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_ppplot_other_array PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_probplot_other_array XFAIL [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_qqplot_other_prbplt PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_ppplot_other_prbplt PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_probplot_other_prbplt XFAIL [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_qqplot_custom_labels PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_ppplot_custom_labels PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_probplot_custom_labels PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_qqplot_pltkwargs PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_ppplot_pltkwargs PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_probplot_pltkwargs PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_fit_params PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_qqplot PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_ppplot PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_probplot PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_probplot_exceed PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_qqplot_other_array PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_ppplot_other_array PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_probplot_other_array XFAIL [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_qqplot_other_prbplt PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_ppplot_other_prbplt PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_probplot_other_prbplt XFAIL [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_qqplot_custom_labels PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_ppplot_custom_labels PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_probplot_custom_labels PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_qqplot_pltkwargs PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_ppplot_pltkwargs PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_probplot_pltkwargs PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_fit_params PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_loc_set PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_scale_set PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_exceptions PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestCompareSamplesDifferentSize::test_qqplot PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestCompareSamplesDifferentSize::test_ppplot PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_qqplot PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_ppplot PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_probplot PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_probplot_exceed PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_qqplot_other_array PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_ppplot_other_array PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_probplot_other_array XFAIL [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_qqplot_other_prbplt PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_ppplot_other_prbplt PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_probplot_other_prbplt XFAIL [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_qqplot_custom_labels PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_ppplot_custom_labels PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_probplot_custom_labels PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_qqplot_pltkwargs PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_ppplot_pltkwargs PASSED [ 15%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_probplot_pltkwargs PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_fit_params PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_loc_set PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_scale_set PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_loc_set_in_dist PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_scale_set_in_dist PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestTopLevel::test_qqplot PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestTopLevel::test_qqplot_pltkwargs PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestTopLevel::test_qqplot_2samples_prob_plot_objects PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestTopLevel::test_qqplot_2samples_arrays PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::test_invalid_dist_config PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::test_qqplot_unequal PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestCheckDist::test_good PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestCheckDist::test_bad PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestDoPlot::test_baseline PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestDoPlot::test_with_ax PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestDoPlot::test_plot_full_options PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestDoPlot::test_step_baseline PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestDoPlot::test_step_full_options PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestDoPlot::test_plot_qq_line PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestDoPlot::test_step_qq_line PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestQQLine::test_badline PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestQQLine::test_non45_no_x PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestQQLine::test_non45_no_y PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestQQLine::test_non45_no_x_no_y PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestQQLine::test_45 PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestQQLine::test_45_fmt PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestQQLine::test_45_fmt_lineoptions PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestQQLine::test_r PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestQQLine::test_r_fmt PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestQQLine::test_r_fmt_lineoptions PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestQQLine::test_s PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestQQLine::test_s_fmt PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestQQLine::test_s_fmt_lineoptions PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestQQLine::test_q PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestQQLine::test_q_fmt PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestQQLine::test_q_fmt_lineoptions PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestPlottingPosition::test_weibull PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestPlottingPosition::test_lininterp PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestPlottingPosition::test_piecewise PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestPlottingPosition::test_approx_med_unbiased PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestPlottingPosition::test_cunnane PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::test_param_unpacking PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[None-30-30-labels0] PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[None-30-30-labels1] PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[None-30-50-labels0] PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[None-30-50-labels1] PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[None-50-30-labels0] PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[None-50-30-labels1] PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[None-50-50-labels0] PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[None-50-50-labels1] PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[45-30-30-labels0] PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[45-30-30-labels1] PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[45-30-50-labels0] PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[45-30-50-labels1] PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[45-50-30-labels0] PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[45-50-30-labels1] PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[45-50-50-labels0] PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[45-50-50-labels1] PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[s-30-30-labels0] PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[s-30-30-labels1] PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[s-30-50-labels0] PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[s-30-50-labels1] PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[s-50-30-labels0] PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[s-50-30-labels1] PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[s-50-50-labels0] PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[s-50-50-labels1] PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[r-30-30-labels0] PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[r-30-30-labels1] PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[r-30-50-labels0] PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[r-30-50-labels1] PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[r-50-30-labels0] PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[r-50-30-labels1] PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[r-50-50-labels0] PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[r-50-50-labels1] PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[q-30-30-labels0] PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[q-30-30-labels1] PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[q-30-50-labels0] PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[q-30-50-labels1] PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[q-50-30-labels0] PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[q-50-30-labels1] PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[q-50-50-labels0] PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[q-50-50-labels1] PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::test_axis_order PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_mosaicplot.py::test_data_conversion PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_mosaicplot.py::test_mosaic_simple PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_mosaicplot.py::test_mosaic PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_mosaicplot.py::test_mosaic_very_complex PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_mosaicplot.py::test_axes_labeling PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_mosaicplot.py::test_mosaic_empty_cells PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_mosaicplot.py::test_recursive_split PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_mosaicplot.py::test__reduce_dict PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_mosaicplot.py::test__key_splitting PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_mosaicplot.py::test_proportion_normalization PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_mosaicplot.py::test_false_split PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_mosaicplot.py::test_rect_pure_split PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_mosaicplot.py::test_rect_deformed_split PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_mosaicplot.py::test_gap_split PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_mosaicplot.py::test_default_arg_index PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_mosaicplot.py::test_missing_category PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_regressionplots.py::TestPlot::test_plot_fit PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_regressionplots.py::TestPlot::test_plot_oth PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_regressionplots.py::TestPlot::test_plot_influence PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_regressionplots.py::TestPlot::test_plot_leverage_resid2 PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_regressionplots.py::TestPlotPandas::test_plot_fit PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_regressionplots.py::TestPlotPandas::test_plot_oth PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_regressionplots.py::TestPlotPandas::test_plot_influence PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_regressionplots.py::TestPlotPandas::test_plot_leverage_resid2 PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_regressionplots.py::TestPlotFormula::test_plot_fit PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_regressionplots.py::TestPlotFormula::test_plot_oth PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_regressionplots.py::TestPlotFormula::test_plot_influence PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_regressionplots.py::TestPlotFormula::test_plot_leverage_resid2 PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_regressionplots.py::TestPlotFormula::test_one_column_exog PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_regressionplots.py::TestABLine::test_abline_model PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_regressionplots.py::TestABLine::test_abline_model_ax PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_regressionplots.py::TestABLine::test_abline_ab PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_regressionplots.py::TestABLine::test_abline_ab_ax PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_regressionplots.py::TestABLine::test_abline_remove PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_regressionplots.py::TestABLinePandas::test_abline_model PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_regressionplots.py::TestABLinePandas::test_abline_model_ax PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_regressionplots.py::TestABLinePandas::test_abline_ab PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_regressionplots.py::TestABLinePandas::test_abline_ab_ax PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_regressionplots.py::TestABLinePandas::test_abline_remove PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_regressionplots.py::TestAddedVariablePlot::test_added_variable_poisson PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_regressionplots.py::TestPartialResidualPlot::test_partial_residual_poisson PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_regressionplots.py::TestCERESPlot::test_ceres_poisson PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_regressionplots.py::test_partregress_formula_env PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_tsaplots.py::test_plot_acf PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_tsaplots.py::test_plot_acf_irregular PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_tsaplots.py::test_plot_pacf PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_tsaplots.py::test_plot_pacf_kwargs PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_tsaplots.py::test_plot_acf_kwargs PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_tsaplots.py::test_plot_acf_missing PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_tsaplots.py::test_plot_pacf_irregular PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_tsaplots.py::test_plot_month XFAIL [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_tsaplots.py::test_plot_quarter PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_tsaplots.py::test_seasonal_plot PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_tsaplots.py::test_predict_plot[None-True-model_and_args0] PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_tsaplots.py::test_predict_plot[None-True-model_and_args1] PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_tsaplots.py::test_predict_plot[None-False-model_and_args0] PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_tsaplots.py::test_predict_plot[None-False-model_and_args1] PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_tsaplots.py::test_predict_plot[0.1-True-model_and_args0] PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_tsaplots.py::test_predict_plot[0.1-True-model_and_args1] PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_tsaplots.py::test_predict_plot[0.1-False-model_and_args0] PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/graphics/tests/test_tsaplots.py::test_predict_plot[0.1-False-model_and_args1] PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/imputation/tests/test_bayes_mi.py::test_pat PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/imputation/tests/test_bayes_mi.py::test_2x2 PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/imputation/tests/test_bayes_mi.py::test_MI PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/imputation/tests/test_bayes_mi.py::test_MI_stat PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/imputation/tests/test_bayes_mi.py::test_mi_formula PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/imputation/tests/test_mice.py::TestMICEData::test_default PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/imputation/tests/test_mice.py::TestMICEData::test_settingwithcopywarning PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/imputation/tests/test_mice.py::TestMICEData::test_next_sample PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/imputation/tests/test_mice.py::TestMICEData::test_pertmeth PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/imputation/tests/test_mice.py::TestMICEData::test_phreg PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/imputation/tests/test_mice.py::TestMICEData::test_set_imputer PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/imputation/tests/test_mice.py::TestMICEData::test_plot_missing_pattern PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/imputation/tests/test_mice.py::TestMICEData::test_plot_bivariate PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/imputation/tests/test_mice.py::TestMICEData::test_fit_obs PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/imputation/tests/test_mice.py::TestMICEData::test_plot_imputed_hist PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/imputation/tests/test_mice.py::TestMICE::test_MICE PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/imputation/tests/test_mice.py::TestMICE::test_MICE1 PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/imputation/tests/test_mice.py::TestMICE::test_MICE1_regularized PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/imputation/tests/test_mice.py::TestMICE::test_MICE2 PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/imputation/tests/test_mice.py::TestMICE::test_combine XFAIL [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/imputation/tests/test_mice.py::test_micedata_miss1 PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/imputation/tests/test_ros.py::Test__ros_sort::test_baseline PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/imputation/tests/test_ros.py::Test__ros_sort::test_censored_greater_than_max PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/imputation/tests/test_ros.py::Test_cohn_numbers::test_baseline PASSED [ 16%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/imputation/tests/test_ros.py::Test_cohn_numbers::test_no_NDs PASSED [ 17%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/imputation/tests/test_ros.py::Test__detection_limit_index::test_empty PASSED [ 17%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/imputation/tests/test_ros.py::Test__detection_limit_index::test_populated PASSED [ 17%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/imputation/tests/test_ros.py::Test__detection_limit_index::test_out_of_bounds PASSED [ 17%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/imputation/tests/test_ros.py::test__ros_group_rank PASSED [ 17%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/imputation/tests/test_ros.py::Test__ros_plot_pos::test_uncensored_1 PASSED [ 17%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/imputation/tests/test_ros.py::Test__ros_plot_pos::test_uncensored_2 PASSED [ 17%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/imputation/tests/test_ros.py::Test__ros_plot_pos::test_censored_1 PASSED [ 17%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/imputation/tests/test_ros.py::Test__ros_plot_pos::test_censored_2 PASSED [ 17%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/imputation/tests/test_ros.py::test__norm_plot_pos PASSED [ 17%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/imputation/tests/test_ros.py::test_plotting_positions PASSED [ 17%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/imputation/tests/test_ros.py::test__impute PASSED [ 17%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/imputation/tests/test_ros.py::test__do_ros PASSED [ 17%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/imputation/tests/test_ros.py::Test_ROS_HelselAppendixB::test_ros_df PASSED [ 17%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/imputation/tests/test_ros.py::Test_ROS_HelselAppendixB::test_ros_arrays PASSED [ 17%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/imputation/tests/test_ros.py::Test_ROS_HelselAppendixB::test_cohn PASSED [ 17%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/imputation/tests/test_ros.py::Test_ROS_HelselArsenic::test_ros_df PASSED [ 17%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/imputation/tests/test_ros.py::Test_ROS_HelselArsenic::test_ros_arrays PASSED [ 17%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/imputation/tests/test_ros.py::Test_ROS_HelselArsenic::test_cohn PASSED [ 17%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/imputation/tests/test_ros.py::Test_ROS_RNADAdata::test_ros_df PASSED [ 17%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/imputation/tests/test_ros.py::Test_ROS_RNADAdata::test_ros_arrays PASSED [ 17%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/imputation/tests/test_ros.py::Test_ROS_RNADAdata::test_cohn PASSED [ 17%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/imputation/tests/test_ros.py::Test_NoOp_ZeroND::test_ros_df PASSED [ 17%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/imputation/tests/test_ros.py::Test_NoOp_ZeroND::test_ros_arrays PASSED [ 17%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/imputation/tests/test_ros.py::Test_NoOp_ZeroND::test_cohn PASSED [ 17%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/imputation/tests/test_ros.py::Test_ROS_OneND::test_ros_df PASSED [ 17%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/imputation/tests/test_ros.py::Test_ROS_OneND::test_ros_arrays PASSED [ 17%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/imputation/tests/test_ros.py::Test_ROS_OneND::test_cohn PASSED [ 17%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/imputation/tests/test_ros.py::Test_HalfDLs_80pctNDs::test_ros_df PASSED [ 17%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/imputation/tests/test_ros.py::Test_HalfDLs_80pctNDs::test_ros_arrays PASSED [ 17%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/imputation/tests/test_ros.py::Test_HalfDLs_80pctNDs::test_cohn PASSED [ 17%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/imputation/tests/test_ros.py::Test_HaflDLs_OneUncensored::test_ros_df PASSED [ 17%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/imputation/tests/test_ros.py::Test_HaflDLs_OneUncensored::test_ros_arrays PASSED [ 17%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/imputation/tests/test_ros.py::Test_HaflDLs_OneUncensored::test_cohn PASSED [ 17%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/imputation/tests/test_ros.py::Test_ROS_MaxCen_GT_MaxUncen::test_ros_df PASSED [ 17%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/imputation/tests/test_ros.py::Test_ROS_MaxCen_GT_MaxUncen::test_ros_arrays PASSED [ 17%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/imputation/tests/test_ros.py::Test_ROS_MaxCen_GT_MaxUncen::test_cohn PASSED [ 17%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/imputation/tests/test_ros.py::Test_ROS_OnlyDL_GT_MaxUncen::test_ros_df PASSED [ 17%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/imputation/tests/test_ros.py::Test_ROS_OnlyDL_GT_MaxUncen::test_ros_arrays PASSED [ 17%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/imputation/tests/test_ros.py::Test_ROS_OnlyDL_GT_MaxUncen::test_cohn PASSED [ 17%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/iolib/tests/test_pickle.py::test_pickle PASSED [ 17%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/iolib/tests/test_pickle.py::test_pickle_supports_open PASSED [ 17%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/iolib/tests/test_summary.py::test_escaped_variable_name PASSED [ 17%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/iolib/tests/test_summary.py::test_wrong_len_xname PASSED [ 17%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/iolib/tests/test_summary2.py::TestSummaryLatex::test_summarycol PASSED [ 17%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/iolib/tests/test_summary2.py::TestSummaryLatex::test_summarycol_float_format PASSED [ 17%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/iolib/tests/test_summary2.py::TestSummaryLatex::test_summarycol_drop_omitted PASSED [ 17%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/iolib/tests/test_summary2.py::TestSummaryLatex::test_summary_col_ordering_preserved PASSED [ 17%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/iolib/tests/test_summary2.py::TestSummaryLatex::test_OLSsummary PASSED [ 17%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/iolib/tests/test_summary2.py::test_ols_summary_rsquared_label PASSED [ 17%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/iolib/tests/test_summary_old.py::test_regression_summary XFAIL [ 17%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/iolib/tests/test_table.py::TestSimpleTable::test_simple_table_2 PASSED [ 17%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/iolib/tests/test_table.py::TestSimpleTable::test_regression_with_tuples PASSED [ 17%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/iolib/tests/test_table.py::TestSimpleTable::test_default_alignment PASSED [ 17%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/iolib/tests/test_table_econpy.py::TestCell::test_celldata PASSED [ 17%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/miscmodels/tests/test_generic_mle.py::TestMyPareto1::test_summary PASSED [ 17%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/miscmodels/tests/test_ordinal_model.py::TestLogitModelFormula::test_setup PASSED [ 17%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/miscmodels/tests/test_ordinal_model.py::TestCLogLogModel::test_basic PASSED [ 17%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/miscmodels/tests/test_ordinal_model.py::TestCLogLogModel::test_unordered PASSED [ 17%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/miscmodels/tests/test_ordinal_model.py::TestLogitBinary::test_attributes PASSED [ 17%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/miscmodels/tests/test_poisson.py::TestPoissonMLE::test_params PASSED [ 17%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/miscmodels/tests/test_poisson.py::TestPoissonMLE::test_cov_params PASSED [ 17%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/miscmodels/tests/test_poisson.py::TestPoissonMLE::test_predict_distribution PASSED [ 17%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/miscmodels/tests/test_poisson.py::TestPoissonOffset::test_ttest PASSED [ 17%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/miscmodels/tests/test_tarma.py::TestTArma::test_params PASSED [ 17%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/multivariate/factor_rotation/tests/test_rotation.py::TestAnalyticRotation::test_orthogonal_target PASSED [ 17%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/multivariate/factor_rotation/tests/test_rotation.py::TestGPARotation::test_CF PASSED [ 17%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/multivariate/factor_rotation/tests/test_rotation.py::TestGPARotation::test_oblimin PASSED [ 17%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/multivariate/factor_rotation/tests/test_rotation.py::TestGPARotation::test_orthogonal_partial_target PASSED [ 17%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/multivariate/factor_rotation/tests/test_rotation.py::TestGPARotation::test_orthomax PASSED [ 17%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/multivariate/factor_rotation/tests/test_rotation.py::TestWrappers::test_methods PASSED [ 17%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/multivariate/tests/test_cancorr.py::test_cancorr PASSED [ 17%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/multivariate/tests/test_factor.py::test_auto_col_name PASSED [ 17%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/multivariate/tests/test_factor.py::test_direct_corr_matrix PASSED [ 17%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/multivariate/tests/test_factor.py::test_unknown_fa_method_error PASSED [ 17%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/multivariate/tests/test_factor.py::test_example_compare_to_R_output PASSED [ 17%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/multivariate/tests/test_factor.py::test_plots PASSED [ 17%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/multivariate/tests/test_factor.py::test_getframe_smoke PASSED [ 17%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/multivariate/tests/test_factor.py::test_factor_missing PASSED [ 17%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/multivariate/tests/test_factor.py::test_factor_scoring PASSED [ 17%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/multivariate/tests/test_manova.py::test_manova_sas_example PASSED [ 17%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/multivariate/tests/test_manova.py::test_endog_1D_array PASSED [ 17%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/multivariate/tests/test_ml_factor.py::test_loglike PASSED [ 17%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/multivariate/tests/test_ml_factor.py::test_score PASSED [ 17%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/multivariate/tests/test_ml_factor.py::test_exact PASSED [ 17%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/multivariate/tests/test_ml_factor.py::test_exact_em PASSED [ 17%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/multivariate/tests/test_ml_factor.py::test_fit_ml_em_random_state PASSED [ 17%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/multivariate/tests/test_ml_factor.py::test_em PASSED [ 17%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/multivariate/tests/test_ml_factor.py::test_2factor PASSED [ 17%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/multivariate/tests/test_multivariate_ols.py::test_glm_dogs_example PASSED [ 17%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/multivariate/tests/test_multivariate_ols.py::test_specify_L_M_by_string PASSED [ 17%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/multivariate/tests/test_multivariate_ols.py::test_independent_variable_singular PASSED [ 17%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/multivariate/tests/test_multivariate_ols.py::test_from_formula_vs_no_formula PASSED [ 17%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/multivariate/tests/test_multivariate_ols.py::test_L_M_matrices_1D_array PASSED [ 17%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/multivariate/tests/test_multivariate_ols.py::test_exog_1D_array PASSED [ 17%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/multivariate/tests/test_multivariate_ols.py::test_endog_1D_array PASSED [ 17%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/multivariate/tests/test_multivariate_ols.py::test_affine_hypothesis PASSED [ 17%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/multivariate/tests/test_pca.py::TestPCA::test_smoke_plot_and_repr PASSED [ 17%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/multivariate/tests/test_pca.py::TestPCA::test_eig_svd_equiv PASSED [ 17%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/multivariate/tests/test_pca.py::TestPCA::test_options PASSED [ 17%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/multivariate/tests/test_pca.py::TestPCA::test_against_reference PASSED [ 17%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/multivariate/tests/test_pca.py::TestPCA::test_warnings_and_errors PASSED [ 17%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/multivariate/tests/test_pca.py::TestPCA::test_pandas PASSED [ 17%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/multivariate/tests/test_pca.py::TestPCA::test_gls_and_weights PASSED [ 17%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/multivariate/tests/test_pca.py::TestPCA::test_wide PASSED [ 17%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/multivariate/tests/test_pca.py::TestPCA::test_projection PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/multivariate/tests/test_pca.py::TestPCA::test_replace_missing PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/multivariate/tests/test_pca.py::TestPCA::test_rsquare PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/multivariate/tests/test_pca.py::TestPCA::test_missing_dataframe PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/multivariate/tests/test_pca.py::TestPCA::test_equivalence PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/multivariate/tests/test_pca.py::TestPCA::test_equivalence_full_matrices PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/multivariate/tests/test_pca.py::test_missing PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/multivariate/tests/test_pca.py::test_too_many_missing PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/multivariate/tests/test_pca.py::test_gls_warning PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels[case0] PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels[case1] PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels[case2] PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels[case3] PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels[case4] PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels[case5] PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels[case6] PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels[case7] PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels_vectorized[case0] PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels_vectorized[case1] PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels_vectorized[case2] PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels_vectorized[case3] PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels_vectorized[case4] PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels_vectorized[case5] PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels_vectorized[case6] PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels_vectorized[case7] PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels_weights[case0] PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels_weights[case1] PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels_weights[case2] PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels_weights[case3] PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels_weights[case4] PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels_weights[case5] PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels_weights[case6] PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels_weights[case7] PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsUnit::test_kernels[case0] PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsUnit::test_kernels[case1] PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsUnit::test_kernels_vectorized[case0] PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsUnit::test_kernels_vectorized[case1] PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsUnit::test_kernels_weights[case0] PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsUnit::test_kernels_weights[case1] PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_bandwidths.py::TestBandwidthCalculation::test_calculate_bandwidth_gaussian PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_bandwidths.py::TestBandwidthCalculation::test_calculate_normal_reference_bandwidth PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_bandwidths.py::TestEpanechnikov::test_calculate_normal_reference_constant PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_bandwidths.py::TestGaussian::test_calculate_normal_reference_constant PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_bandwidths.py::TestBiweight::test_calculate_normal_reference_constant PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_bandwidths.py::TestTriweight::test_calculate_normal_reference_constant PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_bandwidths.py::TestAllBandwidthZero::test_bandwidth_zero PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_bandwidths.py::TestAnyBandwidthZero::test_bandwidth_zero PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEExceptions::test_check_is_fit_exception PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEExceptions::test_non_weighted_fft_exception PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEExceptions::test_wrong_weight_length_exception PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEExceptions::test_non_gaussian_fft_exception PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEGauss::test_density PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEGauss::test_evaluate PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEGauss::test_support_gridded PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEGauss::test_cdf_gridded PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEGauss::test_sf_gridded PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEGauss::test_icdf_gridded PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEEpanechnikov::test_density PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEEpanechnikov::test_evaluate PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDETriangular::test_density PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDETriangular::test_evaluate PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEBiweight::test_density PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEBiweight::test_evaluate PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKdeWeights::test_density PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKdeWeights::test_evaluate PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEGaussFFT::test_density PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEGaussFFT::test_evaluate PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEWGauss::test_density XFAIL [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEWGauss::test_evaluate PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEWGauss::test_compare PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEWGauss::test_kernel_constants PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEWEpa::test_density XFAIL [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEWEpa::test_evaluate PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEWEpa::test_compare PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEWEpa::test_kernel_constants PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEWTri::test_density XFAIL [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEWTri::test_evaluate PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEWTri::test_compare PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEWTri::test_kernel_constants PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEWBiw::test_density XFAIL [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEWBiw::test_evaluate PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEWBiw::test_compare PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEWBiw::test_kernel_constants PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEWCos::test_density XFAIL [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEWCos::test_evaluate SKIPPED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEWCos::test_compare PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEWCos::test_kernel_constants PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEWCos2::test_density XFAIL [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEWCos2::test_evaluate PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEWCos2::test_compare PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEWCos2::test_kernel_constants PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestNormConstant::test_norm_constant_calculation PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::test_kde_bw_positive PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::test_fit_self PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDECustomBandwidth::test_check_is_fit_ok_with_custom_bandwidth PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDECustomBandwidth::test_check_is_fit_ok_with_standard_custom_bandwidth PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDECustomBandwidth::test_check_is_fit_ok_with_float_bandwidth[True] PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDECustomBandwidth::test_check_is_fit_ok_with_float_bandwidth[False] PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEUnivariate::test_pdf_non_fft PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEUnivariate::test_weighted_pdf_non_fft PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEUnivariate::test_all_samples_same_location_bw PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEUnivariate::test_int PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariate::test_pdf_mixeddata_CV_LS PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariate::test_pdf_mixeddata_LS_vs_ML PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariate::test_pdf_mixeddata_CV_ML PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariate::test_pdf_continuous PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariate::test_pdf_ordered PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariate::test_unordered_CV_LS PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariate::test_continuous_cdf PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariate::test_mixeddata_cdf PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariate::test_continuous_cvls_efficient PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariate::test_continuous_cvml_efficient PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariate::test_efficient_notrandom PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariate::test_efficient_user_specified_bw PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariateConditional::test_mixeddata_CV_LS PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariateConditional::test_continuous_CV_ML PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariateConditional::test_unordered_CV_LS PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariateConditional::test_pdf_continuous PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariateConditional::test_pdf_mixeddata PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariateConditional::test_continuous_normal_ref PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariateConditional::test_continuous_cdf PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariateConditional::test_mixeddata_cdf PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariateConditional::test_continuous_cvml_efficient PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariateConditional::test_efficient_user_specified_bw PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_density.py::test_all_kernels[biw] PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_density.py::test_all_kernels[cos] PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_density.py::test_all_kernels[epa] PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_density.py::test_all_kernels[gau] PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_density.py::test_all_kernels[tri] PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_density.py::test_all_kernels[triw] PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_density.py::test_all_kernels[uni] PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_ordered_lc_cvls PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_continuousdata_lc_cvls PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_continuousdata_ll_cvls PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_continuous_mfx_ll_cvls PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_mixed_mfx_ll_cvls PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_mfx_nonlinear_ll_cvls XFAIL [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_continuous_cvls_efficient PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_censored_ll_cvls PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_continuous_lc_aic PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_significance_continuous PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_significance_discrete PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_user_specified_kernel PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_censored_user_specified_kernel PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_efficient_user_specificed_bw PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_censored_efficient_user_specificed_bw PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_regression.py::test_invalid_bw PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_regression.py::test_invalid_kernel PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kernels.py::TestEpan::test_smoothconf PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kernels.py::TestEpan::test_smoothconf_data PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kernels.py::TestGau::test_smoothconf PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kernels.py::TestGau::test_smoothconf_data PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kernels.py::TestUniform::test_smoothconf PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kernels.py::TestUniform::test_smoothconf_data PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kernels.py::TestTriangular::test_smoothconf PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kernels.py::TestTriangular::test_smoothconf_data PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kernels.py::TestCosine::test_smoothconf_data PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kernels.py::TestCosine::test_smoothconf XFAIL [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kernels.py::TestBiweight::test_smoothconf PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kernels.py::TestBiweight::test_smoothconf_data PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_kernels.py::test_tricube PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_lowess.py::TestLowess::test_import PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_lowess.py::TestLowess::test_flat PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_lowess.py::TestLowess::test_range PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_lowess.py::TestLowess::test_simple PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_lowess.py::TestLowess::test_iter_0 PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_lowess.py::TestLowess::test_iter_0_3 PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_lowess.py::TestLowess::test_frac_2_3 PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_lowess.py::TestLowess::test_frac_1_5 PASSED [ 18%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_lowess.py::TestLowess::test_delta_0 PASSED [ 19%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_lowess.py::TestLowess::test_delta_rdef PASSED [ 19%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_lowess.py::TestLowess::test_delta_1 PASSED [ 19%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_lowess.py::TestLowess::test_options PASSED [ 19%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_lowess.py::TestLowess::test_spike PASSED [ 19%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_lowess.py::TestLowess::test_exog_predict PASSED [ 19%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/tests/test_lowess.py::test_returns_inputs PASSED [ 19%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/othermod/tests/test_beta.py::TestBetaModel::test_income_coefficients PASSED [ 19%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/othermod/tests/test_beta.py::TestBetaModel::test_income_precision PASSED [ 19%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/othermod/tests/test_beta.py::TestBetaModel::test_methylation_coefficients PASSED [ 19%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/othermod/tests/test_beta.py::TestBetaModel::test_methylation_precision PASSED [ 19%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestSMWSolver::test_smw_solver[0.5-2-8-10] PASSED [ 19%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestSMWSolver::test_smw_solver[0.5-3-4-10] PASSED [ 19%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestSMWSolver::test_smw_solver[0.5-3-8-5] PASSED [ 19%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestSMWLogdet::test_smw_logdet[0-2-4-5] PASSED [ 19%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestSMWLogdet::test_smw_logdet[0-2-4-10] PASSED [ 19%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestSMWLogdet::test_smw_logdet[0-2-8-5] PASSED [ 19%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestSMWLogdet::test_smw_logdet[0-2-8-10] PASSED [ 19%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestSMWLogdet::test_smw_logdet[0-3-4-5] PASSED [ 19%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestSMWLogdet::test_smw_logdet[0-3-4-10] PASSED [ 19%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestSMWLogdet::test_smw_logdet[0-3-8-5] PASSED [ 19%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestSMWLogdet::test_smw_logdet[0-3-8-10] PASSED [ 19%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestSMWLogdet::test_smw_logdet[0.5-2-4-5] PASSED [ 19%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestSMWLogdet::test_smw_logdet[0.5-2-4-10] PASSED [ 19%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestSMWLogdet::test_smw_logdet[0.5-2-8-5] PASSED [ 19%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestSMWLogdet::test_smw_logdet[0.5-2-8-10] PASSED [ 19%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestSMWLogdet::test_smw_logdet[0.5-3-4-5] PASSED [ 19%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestSMWLogdet::test_smw_logdet[0.5-3-4-10] PASSED [ 19%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestSMWLogdet::test_smw_logdet[0.5-3-8-5] PASSED [ 19%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestSMWLogdet::test_smw_logdet[0.5-3-8-10] PASSED [ 19%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_OLS::test_fvalue PASSED [ 22%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_OLS::test_aic PASSED [ 22%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_OLS::test_bic PASSED [ 22%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_OLS::test_pvalues PASSED [ 22%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_OLS::test_wresid PASSED [ 22%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_OLS::test_resids PASSED [ 22%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_OLS::test_norm_resids PASSED [ 22%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestYuleWalker::test_params PASSED [ 22%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestDataDimensions::test_params PASSED [ 22%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestDataDimensions::test_standarderrors PASSED [ 22%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestDataDimensions::test_confidenceintervals PASSED [ 22%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestDataDimensions::test_conf_int_subset PASSED [ 22%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestDataDimensions::test_scale PASSED [ 22%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestDataDimensions::test_rsquared PASSED [ 22%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestDataDimensions::test_rsquared_adj PASSED [ 22%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestDataDimensions::test_degrees PASSED [ 22%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestDataDimensions::test_ess PASSED [ 22%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestDataDimensions::test_sumof_squaredresids PASSED [ 22%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestDataDimensions::test_mse_resid PASSED [ 22%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestDataDimensions::test_mse_model PASSED [ 22%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestDataDimensions::test_mse_total PASSED [ 22%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestDataDimensions::test_fvalue PASSED [ 22%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestDataDimensions::test_loglike PASSED [ 22%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestDataDimensions::test_aic PASSED [ 22%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestDataDimensions::test_bic PASSED [ 22%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestDataDimensions::test_pvalues PASSED [ 22%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestDataDimensions::test_wresid PASSED [ 22%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestDataDimensions::test_resids PASSED [ 22%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestDataDimensions::test_norm_resids PASSED [ 22%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_large_data::test_params PASSED [ 22%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_large_data::test_confidenceintervals PASSED [ 22%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_large_data::test_conf_int_subset PASSED [ 22%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_large_data::test_rsquared PASSED [ 22%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_large_data::test_rsquared_adj PASSED [ 22%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_large_data::test_degrees PASSED [ 22%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_large_data::test_ess PASSED [ 22%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_large_data::test_sumof_squaredresids PASSED [ 22%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_large_data::test_mse_resid PASSED [ 22%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_large_data::test_mse_total PASSED [ 22%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_large_data::test_fvalue PASSED [ 22%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_large_data::test_pvalues PASSED [ 22%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_large_data::test_wresid PASSED [ 22%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_large_data::test_resids PASSED [ 22%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_large_data::test_norm_resids PASSED [ 22%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_large_data::test_large_equal_params PASSED [ 22%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_large_data::test_large_equal_loglike PASSED [ 22%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxNx::test_params PASSED [ 22%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxNx::test_confidenceintervals PASSED [ 22%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxNx::test_conf_int_subset PASSED [ 22%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxNx::test_scale PASSED [ 22%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxNx::test_rsquared PASSED [ 22%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxNx::test_rsquared_adj PASSED [ 22%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxNx::test_degrees PASSED [ 22%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxNx::test_sumof_squaredresids PASSED [ 22%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxNx::test_mse_model PASSED [ 22%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxNx::test_fvalue PASSED [ 22%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxNx::test_loglike PASSED [ 22%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxNx::test_bic PASSED [ 22%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxNx::test_norm_resids PASSED [ 22%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxOneNx::test_rsquared PASSED [ 22%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxOneNx::test_rsquared_adj PASSED [ 22%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxOneNx::test_degrees PASSED [ 22%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxOneNx::test_ess PASSED [ 22%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxOneNx::test_sumof_squaredresids PASSED [ 22%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxOneNx::test_mse_resid PASSED [ 22%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxOneNx::test_mse_model PASSED [ 22%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxOneNx::test_mse_total PASSED [ 22%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxOneNx::test_fvalue PASSED [ 22%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxOneNx::test_loglike PASSED [ 22%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxOneNx::test_aic PASSED [ 22%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxOneNx::test_bic PASSED [ 22%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxOneNx::test_pvalues PASSED [ 22%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxOneNx::test_wresid PASSED [ 22%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxOneNx::test_resids PASSED [ 22%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxOneNx::test_norm_resids PASSED [ 22%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxNxOne::test_params PASSED [ 23%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxNxOne::test_standarderrors PASSED [ 23%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxNxOne::test_confidenceintervals PASSED [ 23%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxNxOne::test_conf_int_subset PASSED [ 23%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxNxOne::test_scale PASSED [ 23%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxNxOne::test_rsquared PASSED [ 23%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxNxOne::test_rsquared_adj PASSED [ 23%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxNxOne::test_degrees PASSED [ 23%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxNxOne::test_ess PASSED [ 23%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxNxOne::test_sumof_squaredresids PASSED [ 23%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxNxOne::test_mse_resid PASSED [ 23%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxNxOne::test_mse_model PASSED [ 23%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxNxOne::test_mse_total PASSED [ 23%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxNxOne::test_fvalue PASSED [ 23%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxNxOne::test_loglike PASSED [ 23%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxNxOne::test_aic PASSED [ 23%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxNxOne::test_bic PASSED [ 23%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxNxOne::test_pvalues PASSED [ 23%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxNxOne::test_wresid PASSED [ 23%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxNxOne::test_resids PASSED [ 23%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxNxOne::test_norm_resids PASSED [ 23%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_regression.py::test_bad_size PASSED [ 23%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_save_load[250-3-False-False-0] PASSED [ 24%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_has_nan[250-3-False-False-0.1] PASSED [ 24%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-3-False-False-0.1-None-nonrobust] PASSED [ 24%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-3-False-False-0.1-None-HC0] PASSED [ 24%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-3-False-False-0.1-True-nonrobust] PASSED [ 24%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-3-False-False-0.1-True-HC0] PASSED [ 24%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-3-False-False-0.1-False-nonrobust] PASSED [ 24%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-3-False-False-0.1-False-HC0] PASSED [ 24%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_raise[250-3-False-False-0.1] PASSED [ 24%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_save_load[250-3-False-False-0.1] PASSED [ 24%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_has_nan[250-0-True-True-0] PASSED [ 25%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-0-True-True-0-None-nonrobust] PASSED [ 25%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-0-True-True-0-None-HC0] PASSED [ 25%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-0-True-True-0-True-nonrobust] PASSED [ 25%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-0-True-True-0-True-HC0] PASSED [ 25%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-0-True-True-0-False-nonrobust] PASSED [ 25%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_raise[250-0-True-True-0] PASSED [ 25%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_save_load[250-0-True-True-0] PASSED [ 25%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_has_nan[250-0-True-True-0.1] PASSED [ 25%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-0-True-True-0.1-None-nonrobust] PASSED [ 25%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-0-True-True-0.1-None-HC0] PASSED [ 25%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-0-True-True-0.1-True-nonrobust] PASSED [ 25%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-0-True-True-0.1-True-HC0] PASSED [ 25%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-0-True-True-0.1-False-nonrobust] PASSED [ 25%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-0-True-True-0.1-False-HC0] PASSED [ 25%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_raise[250-0-True-True-0.1] PASSED [ 25%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_save_load[250-0-True-True-0.1] PASSED [ 25%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_has_nan[250-0-True-False-0] PASSED [ 25%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-0-True-False-0-None-nonrobust] PASSED [ 25%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-0-True-False-0-True-nonrobust] PASSED [ 25%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-0-True-False-0-True-HC0] PASSED [ 25%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-0-True-False-0-False-nonrobust] PASSED [ 25%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_raise[250-0-True-False-0] PASSED [ 25%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_has_nan[250-0-True-False-0.1] PASSED [ 25%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-0-True-False-0.1-None-nonrobust] PASSED [ 25%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-0-True-False-0.1-None-HC0] PASSED [ 25%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-0-True-False-0.1-True-nonrobust] PASSED [ 25%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-0-True-False-0.1-True-HC0] PASSED [ 25%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-0-True-False-0.1-False-nonrobust] PASSED [ 25%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-0-True-False-0.1-False-HC0] PASSED [ 25%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_raise[250-0-True-False-0.1] PASSED [ 25%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_weighted_against_wls[250-3-True-True-0-True] PASSED [ 25%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_weighted_against_wls[250-3-True-True-0-False] PASSED [ 25%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_weighted_against_wls[250-3-True-True-0.1-True] PASSED [ 25%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_weighted_against_wls[250-3-True-True-0.1-False] PASSED [ 25%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_weighted_against_wls[250-3-True-False-0-True] PASSED [ 25%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_weighted_against_wls[250-3-True-False-0-False] PASSED [ 25%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_weighted_against_wls[250-3-True-False-0.1-True] PASSED [ 25%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_weighted_against_wls[250-3-True-False-0.1-False] PASSED [ 25%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_weighted_against_wls[250-3-False-True-0-True] PASSED [ 25%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_weighted_against_wls[250-3-False-True-0-False] PASSED [ 25%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_weighted_against_wls[250-3-False-True-0.1-True] PASSED [ 25%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_weighted_against_wls[250-3-False-True-0.1-False] PASSED [ 25%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_weighted_against_wls[250-3-False-False-0-True] PASSED [ 25%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_weighted_against_wls[250-3-False-False-0-False] PASSED [ 25%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_weighted_against_wls[250-3-False-False-0.1-False] PASSED [ 25%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_weighted_against_wls[250-0-True-True-0-True] PASSED [ 25%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_weighted_against_wls[250-0-True-True-0-False] PASSED [ 25%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_weighted_against_wls[250-0-True-True-0.1-True] PASSED [ 25%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_weighted_against_wls[250-0-True-True-0.1-False] PASSED [ 25%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_weighted_against_wls[250-0-True-False-0-True] PASSED [ 25%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_error PASSED [ 25%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_expanding[250-3-True-True-0] PASSED [ 25%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_min_nobs[250-3-True-True-0.1] PASSED [ 25%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmBisquareHuber::test_predict PASSED [ 26%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmAndrewsHuber::test_params PASSED [ 26%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmAndrewsHuber::test_standarderrors PASSED [ 26%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmAndrewsHuber::test_confidenceintervals PASSED [ 26%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmAndrewsHuber::test_scale PASSED [ 26%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmAndrewsHuber::test_weights PASSED [ 26%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmAndrewsHuber::test_residuals PASSED [ 26%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmAndrewsHuber::test_degrees PASSED [ 26%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmAndrewsHuber::test_bcov_unscaled SKIPPED [ 26%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmAndrewsHuber::test_bcov_scaled PASSED [ 26%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmAndrewsHuber::test_tvalues SKIPPED [ 26%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmAndrewsHuber::test_tpvalues PASSED [ 26%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmAndrewsHuber::test_summary PASSED [ 26%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmAndrewsHuber::test_summary2 PASSED [ 26%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmAndrewsHuber::test_chisq PASSED [ 26%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmAndrewsHuber::test_predict PASSED [ 26%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmSresid::test_params PASSED [ 26%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmSresid::test_standarderrors PASSED [ 26%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmSresid::test_confidenceintervals SKIPPED [ 26%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmSresid::test_scale PASSED [ 26%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmSresid::test_weights PASSED [ 26%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmSresid::test_residuals PASSED [ 26%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmSresid::test_degrees PASSED [ 26%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmSresid::test_bcov_unscaled PASSED [ 26%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmSresid::test_bcov_scaled PASSED [ 26%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmSresid::test_tvalues PASSED [ 26%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmSresid::test_tpvalues PASSED [ 26%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/robust/tests/test_rlm.py::test_missing PASSED [ 26%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/robust/tests/test_rlm.py::test_rlm_start_values PASSED [ 26%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/robust/tests/test_rlm.py::test_rlm_start_values_errors PASSED [ 26%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/robust/tests/test_rlm.py::test_perfect_fit[AndrewWave] PASSED [ 26%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/robust/tests/test_rlm.py::test_perfect_const[AndrewWave] PASSED [ 26%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/robust/tests/test_rlm.py::test_perfect_fit[LeastSquares] PASSED [ 26%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/robust/tests/test_rlm.py::test_perfect_const[LeastSquares] PASSED [ 26%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/robust/tests/test_rlm.py::test_perfect_fit[HuberT] PASSED [ 26%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/robust/tests/test_rlm.py::test_perfect_const[HuberT] PASSED [ 26%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/robust/tests/test_rlm.py::test_perfect_fit[TrimmedMean] PASSED [ 26%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/robust/tests/test_rlm.py::test_perfect_const[TrimmedMean] PASSED [ 26%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/robust/tests/test_rlm.py::test_perfect_fit[TukeyBiweight] PASSED [ 26%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/robust/tests/test_rlm.py::test_perfect_const[TukeyBiweight] PASSED [ 26%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/robust/tests/test_rlm.py::test_perfect_fit[Hampel] PASSED [ 26%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/robust/tests/test_rlm.py::test_perfect_const[Hampel] PASSED [ 26%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/robust/tests/test_rlm.py::test_perfect_fit[RamsayE] PASSED [ 26%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/robust/tests/test_rlm.py::test_perfect_const[RamsayE] PASSED [ 26%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/robust/tests/test_rlm.py::test_alt_criterion[weights] PASSED [ 26%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/robust/tests/test_rlm.py::test_alt_criterion[coefs] PASSED [ 26%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/robust/tests/test_rlm.py::test_alt_criterion[sresid] PASSED [ 26%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/robust/tests/test_rlm.py::test_bad_criterion PASSED [ 26%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/robust/tests/test_scale.py::TestChem::test_mean PASSED [ 26%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/robust/tests/test_scale.py::TestChem::test_median PASSED [ 26%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/robust/tests/test_scale.py::TestChem::test_mad PASSED [ 26%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/robust/tests/test_scale.py::TestChem::test_iqr PASSED [ 26%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/robust/tests/test_scale.py::TestChem::test_qn PASSED [ 26%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/robust/tests/test_scale.py::TestChem::test_huber_scale PASSED [ 26%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/robust/tests/test_scale.py::TestChem::test_huber_location PASSED [ 26%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/robust/tests/test_scale.py::TestChem::test_huber_huberT PASSED [ 26%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/robust/tests/test_scale.py::TestChem::test_huber_Hampel PASSED [ 26%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/robust/tests/test_scale.py::TestMad::test_mad PASSED [ 26%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/robust/tests/test_scale.py::TestMad::test_mad_empty PASSED [ 26%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/robust/tests/test_scale.py::TestMad::test_mad_center PASSED [ 26%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/robust/tests/test_scale.py::TestMadAxes::test_axis0 PASSED [ 26%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/robust/tests/test_scale.py::TestMadAxes::test_axis1 PASSED [ 26%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/robust/tests/test_scale.py::TestMadAxes::test_axis2 PASSED [ 26%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/robust/tests/test_scale.py::TestMadAxes::test_axisneg1 PASSED [ 26%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/robust/tests/test_scale.py::TestIqr::test_iqr PASSED [ 26%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/robust/tests/test_scale.py::TestIqr::test_iqr_empty PASSED [ 26%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/robust/tests/test_scale.py::TestIqrAxes::test_axis0 PASSED [ 26%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/robust/tests/test_scale.py::TestIqrAxes::test_axis1 PASSED [ 26%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/robust/tests/test_scale.py::TestIqrAxes::test_axis2 PASSED [ 26%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/robust/tests/test_scale.py::TestIqrAxes::test_axisneg1 PASSED [ 26%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/robust/tests/test_scale.py::TestQn::test_qn_naive PASSED [ 26%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/robust/tests/test_scale.py::TestQn::test_qn_robustbase PASSED [ 26%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/robust/tests/test_scale.py::TestQn::test_qn_empty PASSED [ 26%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/robust/tests/test_scale.py::TestQnAxes::test_axis0 PASSED [ 26%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/robust/tests/test_scale.py::TestQnAxes::test_axis1 PASSED [ 26%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/robust/tests/test_scale.py::TestQnAxes::test_axis2 PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/robust/tests/test_scale.py::TestQnAxes::test_axisneg1 PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/robust/tests/test_scale.py::TestHuber::test_huber_result_shape PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/robust/tests/test_scale.py::TestHuberAxes::test_default PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/robust/tests/test_scale.py::TestHuberAxes::test_axis1 PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/robust/tests/test_scale.py::TestHuberAxes::test_axis2 PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/robust/tests/test_scale.py::TestHuberAxes::test_axisneg1 PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/robust/tests/test_scale.py::test_mad_axis_none PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/distributions/tests/test_extras.py::test_skewnorm PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/distributions/tests/test_extras.py::test_skewt PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/distributions/tests/test_gof_new.py::test_loop_vectorized_batch_equivalence PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/distributions/tests/test_multivariate.py::Test_MVN_MVT_prob::test_mvn_mvt_1 PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/distributions/tests/test_multivariate.py::Test_MVN_MVT_prob::test_mvn_mvt_2 PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/distributions/tests/test_multivariate.py::Test_MVN_MVT_prob::test_mvn_mvt_3 PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/distributions/tests/test_multivariate.py::Test_MVN_MVT_prob::test_mvn_mvt_4 PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/distributions/tests/test_multivariate.py::Test_MVN_MVT_prob::test_mvn_mvt_5 PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/distributions/tests/test_multivariate.py::TestMVDistributions::test_mvn_pdf PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/distributions/tests/test_multivariate.py::TestMVDistributions::test_mvt_pdf PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/distributions/tests/test_norm_expan.py::TestExpandNormMom::test_dist1 PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/distributions/tests/test_norm_expan.py::TestExpandNormMom::test_cdf_ppf_roundtrip PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/distributions/tests/test_norm_expan.py::TestExpandNormMom::test_pdf PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/distributions/tests/test_norm_expan.py::TestExpandNormMom::test_mvsk PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/distributions/tests/test_norm_expan.py::TestExpandNormSample::test_ks PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/distributions/tests/test_norm_expan.py::TestExpandNormSample::test_mvsk PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/distributions/tests/test_transf.py::Test_Transf2::test_equivalent PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/distributions/tests/test_transf.py::Test_Transf2::test_equivalent_negsq PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/nonparametric/tests/test_kernel_extras.py::TestSemiLinear::test_basic PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/nonparametric/tests/test_smoothers.py::TestPolySmoother1::test_predict PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/nonparametric/tests/test_smoothers.py::TestPolySmoother1::test_coef PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/nonparametric/tests/test_smoothers.py::TestPolySmoother1::test_df PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/nonparametric/tests/test_smoothers.py::TestPolySmoother2::test_predict PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/nonparametric/tests/test_smoothers.py::TestPolySmoother2::test_coef PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/nonparametric/tests/test_smoothers.py::TestPolySmoother2::test_df PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/nonparametric/tests/test_smoothers.py::TestPolySmoother3::test_predict PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/nonparametric/tests/test_smoothers.py::TestPolySmoother3::test_coef PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/nonparametric/tests/test_smoothers.py::TestPolySmoother3::test_df PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/panel/tests/test_random_panel.py::test_short_panel PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::test_iv2sls_r PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::test_ivgmm0_r PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::test_ivgmm1_stata PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMOLS::test_basic PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMOLS::test_other XFAIL [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMSt1::test_basic PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMSt1::test_other PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMSt1::test_hypothesis PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMSt1::test_summary PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMSt1::test_use_t PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStTwostep::test_basic PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStTwostep::test_other PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStTwostep::test_hypothesis PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStTwostep::test_summary PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStTwostep::test_use_t PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStTwostepNO::test_basic PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStTwostepNO::test_other PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStTwostepNO::test_hypothesis PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStTwostepNO::test_summary PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStTwostepNO::test_use_t PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOnestep::test_basic PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOnestep::test_hypothesis PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOnestep::test_summary PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOnestep::test_use_t PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOnestep::test_bse_other PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOnestep::test_other XFAIL [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOnestepNO::test_basic PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOnestepNO::test_hypothesis PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOnestepNO::test_summary PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOnestepNO::test_use_t PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOnestepNO::test_other XFAIL [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiter::test_basic PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiter::test_hypothesis PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiter::test_summary PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiter::test_use_t PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiter::test_other XFAIL [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiter::test_bse_other PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO::test_basic PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO::test_hypothesis PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO::test_summary PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO::test_use_t PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO::test_other XFAIL [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO_Linear::test_basic PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO_Linear::test_hypothesis PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO_Linear::test_summary PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO_Linear::test_use_t PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO_Linear::test_other XFAIL [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO_Nonlinear::test_basic PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO_Nonlinear::test_hypothesis PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO_Nonlinear::test_summary PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO_Nonlinear::test_use_t PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO_Nonlinear::test_other XFAIL [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO_Nonlinear::test_score PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterOLS_Linear::test_basic PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterOLS_Linear::test_hypothesis PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterOLS_Linear::test_summary PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterOLS_Linear::test_use_t PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterOLS_Linear::test_other XFAIL [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMSt2::test_basic PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestIV2SLSSt1::test_basic PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestIV2SLSSt1::test_other PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestIV2SLSSt1::test_hypothesis PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestIV2SLSSt1::test_hausman PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestIV2SLSSt1::test_summary PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestIV2SLSSt1::test_input_dimensions PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::test_noconstant PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::test_gmm_basic PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMAddOnestep::test_basic PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMAddOnestep::test_other PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMAddOnestep::test_summary PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMAddTwostep::test_basic PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMAddTwostep::test_other PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMAddTwostep::test_summary PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMMultOnestep::test_basic PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMMultOnestep::test_other PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMMultOnestep::test_summary PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMMultTwostep::test_basic PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMMultTwostep::test_other PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMMultTwostep::test_summary PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMMultTwostepDefault::test_basic PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMMultTwostepDefault::test_other PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMMultTwostepDefault::test_summary PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMMultTwostepCenter::test_basic PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMMultTwostepCenter::test_other PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMMultTwostepCenter::test_summary PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMMultTwostepCenter::test_more PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/stats/tests/test_multicomp.py::test_tukey_pvalues PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/stats/tests/test_runs.py::test_mean_cutoff PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/stats/tests/test_runs.py::test_median_cutoff PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/stats/tests/test_runs.py::test_numeric_cutoff PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/tests/test_gam.py::TestAdditiveModel::test_predict PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/tests/test_gam.py::TestAdditiveModel::test_params PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/tests/test_gam.py::TestAdditiveModel::test_df XFAIL [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/tests/test_gam.py::TestAdditiveModel::test_fitted PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/tests/test_gam.py::TestGAMPoisson::test_predict PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/tests/test_gam.py::TestGAMPoisson::test_fitted XFAIL [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/tests/test_gam.py::TestGAMPoisson::test_params PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/tests/test_gam.py::TestGAMPoisson::test_df XFAIL [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/tests/test_gam.py::TestGAMPoisson::test_mu PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/tests/test_gam.py::TestGAMPoisson::test_prediction PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/tests/test_gam.py::TestGAMBinomial::test_predict PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/tests/test_gam.py::TestGAMBinomial::test_fitted XFAIL [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/tests/test_gam.py::TestGAMBinomial::test_params PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/tests/test_gam.py::TestGAMBinomial::test_df XFAIL [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/tests/test_gam.py::TestGAMBinomial::test_mu PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/tests/test_gam.py::TestGAMBinomial::test_prediction PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/tests/test_gam.py::TestGAMGaussianLogLink::test_predict XFAIL [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/tests/test_gam.py::TestGAMGaussianLogLink::test_fitted XFAIL [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/tests/test_gam.py::TestGAMGaussianLogLink::test_params XFAIL [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/tests/test_gam.py::TestGAMGaussianLogLink::test_df XFAIL [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/tests/test_gam.py::TestGAMGaussianLogLink::test_mu XFAIL [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/tests/test_gam.py::TestGAMGaussianLogLink::test_prediction XFAIL [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/tests/test_gam.py::TestGAMGamma::test_predict PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/tests/test_gam.py::TestGAMGamma::test_fitted XFAIL [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/tests/test_gam.py::TestGAMGamma::test_params PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/tests/test_gam.py::TestGAMGamma::test_df XFAIL [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/tests/test_gam.py::TestGAMGamma::test_mu PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/tests/test_gam.py::TestGAMGamma::test_prediction PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/tests/test_gam.py::TestGAMNegativeBinomial::test_predict XFAIL [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/tests/test_gam.py::TestGAMNegativeBinomial::test_params XFAIL [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/tests/test_gam.py::TestGAMNegativeBinomial::test_mu XFAIL [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/tests/test_gam.py::TestGAMNegativeBinomial::test_prediction XFAIL [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/tests/test_gam.py::TestGAMNegativeBinomial::test_fitted XFAIL [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/tests/test_gam.py::TestGAMNegativeBinomial::test_df XFAIL [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/tests/test_pca.py::test_pca_princomp PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/tests/test_pca.py::test_pca_svd PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/tests/test_predict_functional.py::TestPredFunc::test_formula PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/tests/test_predict_functional.py::TestPredFunc::test_lm_contrast PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/tests/test_predict_functional.py::TestPredFunc::test_glm_formula_contrast PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/tests/test_predict_functional.py::TestPredFunc::test_scb PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/tests/test_predict_functional.py::TestPredFunc::test_glm_formula PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/tests/test_predict_functional.py::TestPredFunc::test_noformula_prediction PASSED [ 27%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/libqsturng/tests/test_qsturng.py::TestQsturng::test_scalar PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/libqsturng/tests/test_qsturng.py::TestQsturng::test_vector PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/libqsturng/tests/test_qsturng.py::TestQsturng::test_invalid_parameters PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/libqsturng/tests/test_qsturng.py::TestQsturng::test_handful_to_tbl PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/libqsturng/tests/test_qsturng.py::TestQsturng::test_all_to_tbl SKIPPED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/libqsturng/tests/test_qsturng.py::TestQsturng::test_handful_to_ch PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/libqsturng/tests/test_qsturng.py::TestQsturng::test_10000_to_ch PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/libqsturng/tests/test_qsturng.py::TestPsturng::test_scalar PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/libqsturng/tests/test_qsturng.py::TestPsturng::test_vector PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/libqsturng/tests/test_qsturng.py::TestPsturng::test_v_equal_one PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/libqsturng/tests/test_qsturng.py::TestPsturng::test_invalid_parameters PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/libqsturng/tests/test_qsturng.py::TestPsturng::test_handful_to_known_values PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/libqsturng/tests/test_qsturng.py::TestPsturng::test_100_random_values PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_anova.py::TestAnovaLM::test_results PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_anova.py::TestAnovaLMNoconstant::test_results PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_anova.py::TestAnovaLMCompare::test_results PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_anova.py::TestAnovaLMCompareNoconstant::test_results PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_anova.py::TestAnova2::test_results PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_anova.py::TestAnova2Noconstant::test_results PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_anova.py::TestAnova2HC0::test_results PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_anova.py::TestAnova2HC1::test_results PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_anova.py::TestAnova2HC2::test_results PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_anova.py::TestAnova2HC3::test_results PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_anova.py::TestAnova3::test_results PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_anova.py::TestAnova3HC0::test_results PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_anova.py::TestAnova3HC1::test_results PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_anova.py::TestAnova3HC2::test_results PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_anova.py::TestAnova3HC3::test_results PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_anova_rm.py::test_single_factor_repeated_measures_anova PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_anova_rm.py::test_two_factors_repeated_measures_anova PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_anova_rm.py::test_three_factors_repeated_measures_anova PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_anova_rm.py::test_repeated_measures_invalid_factor_name PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_anova_rm.py::test_repeated_measures_collinearity PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_anova_rm.py::test_repeated_measures_unbalanced_data PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_anova_rm.py::test_repeated_measures_aggregation PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_anova_rm.py::test_repeated_measures_aggregation_one_subject_duplicated PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_anova_rm.py::test_repeated_measures_aggregate_func PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_anova_rm.py::test_repeated_measures_aggregate_func_mean PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_anova_rm.py::test_repeated_measures_aggregate_compare_with_ezANOVA PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_base.py::test_holdertuple PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_base.py::test_holdertuple2 PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::test_homogeneity PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::test_SquareTable_from_data PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::test_SquareTable_nonsquare PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::test_cumulative_odds PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::test_local_odds PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::test_shifting PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::test_stratified_table_cube PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::test_resids PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::test_ordinal_association PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::test_chi2_association PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::test_symmetry PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::test_mcnemar PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::test_from_data_stratified PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::test_from_data_2x2 PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::test_cochranq PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::TestStratified1::test_oddsratio_pooled PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::TestStratified1::test_logodds_pooled PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::TestStratified1::test_null_odds PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::TestStratified1::test_oddsratio_pooled_confint PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::TestStratified1::test_logodds_pooled_confint PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::TestStratified1::test_equal_odds PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::TestStratified1::test_pandas PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::TestStratified1::test_from_data PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::TestStratified2::test_oddsratio_pooled PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::TestStratified2::test_logodds_pooled PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::TestStratified2::test_null_odds PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::TestStratified2::test_oddsratio_pooled_confint PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::TestStratified2::test_logodds_pooled_confint PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::TestStratified2::test_equal_odds PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::TestStratified2::test_pandas PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::TestStratified2::test_from_data PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::TestStratified3::test_oddsratio_pooled PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::TestStratified3::test_logodds_pooled PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::TestStratified3::test_null_odds PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::TestStratified3::test_oddsratio_pooled_confint PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::TestStratified3::test_logodds_pooled_confint PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::TestStratified3::test_equal_odds PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::TestStratified3::test_pandas PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::TestStratified3::test_from_data PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::Test2x2_1::test_oddsratio PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::Test2x2_1::test_log_oddsratio PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::Test2x2_1::test_log_oddsratio_se PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::Test2x2_1::test_oddsratio_pvalue PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::Test2x2_1::test_oddsratio_confint PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::Test2x2_1::test_riskratio PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::Test2x2_1::test_log_riskratio PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::Test2x2_1::test_log_riskratio_se PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::Test2x2_1::test_riskratio_pvalue PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::Test2x2_1::test_riskratio_confint PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::Test2x2_1::test_log_riskratio_confint PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::Test2x2_1::test_from_data PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::Test2x2_1::test_summary PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_contrast.py::TestContrast::test_contrast1 PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_contrast.py::TestContrast::test_contrast2 PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_contrast.py::TestContrast::test_contrast3 PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_contrast.py::TestContrast::test_estimable PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_contrast.py::test_constraints PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_correlation.py::test_kernel_covariance PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_corrpsd.py::test_corr_psd PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_corrpsd.py::TestCovPSD::test_cov_nearest PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_corrpsd.py::TestCorrPSD1::test_nearest PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_corrpsd.py::TestCorrPSD1::test_clipped PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_corrpsd.py::TestCorrPSD1::test_cov_nearest PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_corrpsd.py::test_corrpsd_threshold[0] PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_corrpsd.py::test_corrpsd_threshold[1e-15] PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_corrpsd.py::test_corrpsd_threshold[1e-10] PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_corrpsd.py::test_corrpsd_threshold[1e-06] PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_corrpsd.py::Test_Factor::test_corr_nearest_factor_arrpack PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_corrpsd.py::Test_Factor::test_corr_nearest_factor[1] PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_corrpsd.py::Test_Factor::test_corr_nearest_factor[2] PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_corrpsd.py::Test_Factor::test_corr_nearest_factor_sparse[1] PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_corrpsd.py::Test_Factor::test_corr_nearest_factor_sparse[2] PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_corrpsd.py::Test_Factor::test_spg_optim PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_corrpsd.py::Test_Factor::test_decorrelate PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_corrpsd.py::Test_Factor::test_logdet PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_corrpsd.py::Test_Factor::test_solve PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_corrpsd.py::Test_Factor::test_cov_nearest_factor_homog[1] PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_corrpsd.py::Test_Factor::test_cov_nearest_factor_homog[2] PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_corrpsd.py::Test_Factor::test_cov_nearest_factor_homog_sparse[1] PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_corrpsd.py::Test_Factor::test_cov_nearest_factor_homog_sparse[2] PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_corrpsd.py::Test_Factor::test_corr_thresholded PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_descriptivestats.py::test_sign_test PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_descriptivestats.py::TestSimpleTable::test_basic_1 XFAIL [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_descriptivestats.py::TestSimpleTable::test_basic_2 PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_descriptivestats.py::TestSimpleTable::test_describe_summary_float_ndarray PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_descriptivestats.py::TestSimpleTable::test_basic_4 PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_descriptivestats.py::TestSimpleTable::test_basic_1a XFAIL [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_descriptivestats.py::TestSimpleTable::test_basic_1b XFAIL [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_descriptivestats.py::TestSimpleTable::test_basic_2a PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_descriptivestats.py::TestSimpleTable::test_basic_3 PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_descriptivestats.py::TestSimpleTable::test_basic_4a PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_descriptivestats.py::test_description_exceptions PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_descriptivestats.py::test_description_basic PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_descriptivestats.py::test_odd_percentiles PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_descriptivestats.py::test_large_ntop PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_descriptivestats.py::test_use_t PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_descriptivestats.py::test_special_stats[ci] PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_descriptivestats.py::test_special_stats[jarque_bera] PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_descriptivestats.py::test_special_stats[mode] PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_descriptivestats.py::test_special_stats[top] PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_descriptivestats.py::test_special_stats[freq] PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_descriptivestats.py::test_empty_columns PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_descriptivestats.py::test_extension_types PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_descriptivestats.py::test_describe PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::test_gq PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_basic PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_hac PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_het_goldfeldquandt PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_het_breusch_pagan PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_het_breusch_pagan_nonrobust PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_het_white PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_het_white_error PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_het_arch PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_het_arch2 PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_acorr_breusch_godfrey PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_acorr_breusch_godfrey_multidim PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_acorr_breusch_godfrey_exogs PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_acorr_ljung_box PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_acorr_ljung_box_big_default PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_acorr_ljung_box_small_default PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_acorr_ljung_box_against_r PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_harvey_collier PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_rainbow PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_compare_lr PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_compare_j PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_compare_error[compare_cox] PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_compare_error[compare_j] PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_compare_nested[compare_cox] PASSED [ 28%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_compare_nested[compare_j] PASSED [ 29%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_compare_cox PASSED [ 29%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_cusum_ols PASSED [ 29%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_breaks_hansen PASSED [ 29%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_recursive_residuals PASSED [ 29%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_normality PASSED [ 29%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_influence PASSED [ 29%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_basic PASSED [ 29%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_hac PASSED [ 29%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_het_goldfeldquandt PASSED [ 29%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_het_breusch_pagan PASSED [ 29%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_het_breusch_pagan_nonrobust PASSED [ 29%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_het_white PASSED [ 29%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_het_white_error PASSED [ 29%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_het_arch PASSED [ 29%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_het_arch2 PASSED [ 29%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_acorr_breusch_godfrey PASSED [ 29%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_acorr_breusch_godfrey_multidim PASSED [ 29%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_acorr_breusch_godfrey_exogs PASSED [ 29%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_acorr_ljung_box PASSED [ 29%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_acorr_ljung_box_big_default PASSED [ 29%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_acorr_ljung_box_small_default PASSED [ 29%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_acorr_ljung_box_against_r PASSED [ 29%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_harvey_collier PASSED [ 29%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_rainbow PASSED [ 29%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_compare_lr PASSED [ 29%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_compare_j PASSED [ 29%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_knockoff.py::test_testers[equi-tester5-49] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_knockoff.py::test_testers[equi-tester5-50] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_knockoff.py::test_testers[sdp-tester0-49] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_knockoff.py::test_testers[sdp-tester0-50] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_knockoff.py::test_testers[sdp-tester1-49] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_knockoff.py::test_testers[sdp-tester1-50] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_knockoff.py::test_testers[sdp-tester2-49] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_knockoff.py::test_testers[sdp-tester2-50] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_knockoff.py::test_testers[sdp-tester3-49] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_knockoff.py::test_testers[sdp-tester3-50] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_knockoff.py::test_testers[sdp-tester4-49] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_knockoff.py::test_testers[sdp-tester4-50] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_knockoff.py::test_testers[sdp-tester5-49] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_knockoff.py::test_testers[sdp-tester5-50] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_knockoff.py::test_sim[tester0-300-100-6-equi] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_knockoff.py::test_sim[tester0-300-100-6-sdp] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_knockoff.py::test_sim[tester1-300-100-3.5-equi] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_knockoff.py::test_sim[tester1-300-100-3.5-sdp] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_knockoff.py::test_sim[tester2-300-100-3.5-equi] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_knockoff.py::test_sim[tester2-300-100-3.5-sdp] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_knockoff.py::test_sim[tester3-3000-200-3.5-equi] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_knockoff.py::test_sim[tester3-3000-200-3.5-sdp] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_lilliefors.py::TestLilliefors::test_normal PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_lilliefors.py::TestLilliefors::test_normal_table PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_lilliefors.py::TestLilliefors::test_expon PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_lilliefors.py::TestLilliefors::test_pval_bounds PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_lilliefors.py::TestLilliefors::test_min_nobs PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_lilliefors.py::TestLilliefors::test_large_sample PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_lilliefors.py::TestLilliefors::test_x_dims PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_lilliefors.py::test_get_lilliefors_errors PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_lilliefors.py::test_ksstat PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_mediation.py::test_framing_example PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_mediation.py::test_framing_example_moderator PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_mediation.py::test_framing_example_formula PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_mediation.py::test_framing_example_moderator_formula PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_mediation.py::test_mixedlm XFAIL [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_mediation.py::test_surv PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_meta.py::TestEffectsizeBinom::test_effectsize PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_meta.py::TestEffSmdMeta::test_smd PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_meta.py::TestMetaK1::test_tau_kacker PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_meta.py::TestMetaK1::test_pm PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_meta.py::TestMetaK1::test_dl PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_meta.py::TestMetaBinOR::test_basic PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_meta.py::TestMetaBinOR::test_plot PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_moment_helpers.py::test_cov2corr PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_moment_helpers.py::test_moment_conversion[mom0] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_moment_helpers.py::test_moment_conversion[mom1] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_moment_helpers.py::test_moment_conversion[mom2] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_moment_helpers.py::test_moment_conversion[mom3] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_moment_helpers.py::test_moment_conversion[mom4] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_moment_helpers.py::test_moment_conversion[mom5] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_moment_helpers.py::test_moment_conversion[mom6] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_moment_helpers.py::test_moment_conversion[mom7] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_moment_helpers.py::test_moment_conversion[mom8] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_moment_helpers.py::test_moment_conversion[mom9] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_moment_helpers.py::test_moment_conversion[mom10] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_moment_helpers.py::test_multidimensional[test_vals0] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_moment_helpers.py::test_multidimensional[test_vals1] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_moment_helpers.py::test_moment_conversion_types[cum2mc0] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_moment_helpers.py::test_moment_conversion_types[cum2mc1] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_moment_helpers.py::test_moment_conversion_types[mc2cum] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_moment_helpers.py::test_moment_conversion_types[mc2mnc] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_moment_helpers.py::test_moment_conversion_types[mc2mvsk] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_moment_helpers.py::test_moment_conversion_types[mnc2cum] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_moment_helpers.py::test_moment_conversion_types[mnc2mc0] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_moment_helpers.py::test_moment_conversion_types[mnc2mc1] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_moment_helpers.py::test_moment_conversion_types[mvsk2mc] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_moment_helpers.py::test_moment_conversion_types[mvsk2mnc] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests1::test_multi_pvalcorrection_rmethods[BH-val0] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests1::test_multi_pvalcorrection_rmethods[BY-val1] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests1::test_multi_pvalcorrection_rmethods[Bonferroni-val2] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests1::test_multi_pvalcorrection_rmethods[Hochberg-val3] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests1::test_multi_pvalcorrection_rmethods[Holm-val4] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests1::test_multi_pvalcorrection_rmethods[SidakSD-val5] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests1::test_multi_pvalcorrection_rmethods[SidakSS-val6] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests1::test_multi_pvalcorrection_rmethods[TSBH_0.05-val7] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests1::test_multi_pvalcorrection_rmethods[rawp-val8] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests1::test_multi_pvalcorrection PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests2::test_multi_pvalcorrection_rmethods[BH-val0] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests2::test_multi_pvalcorrection_rmethods[BY-val1] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests2::test_multi_pvalcorrection_rmethods[Bonferroni-val2] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests2::test_multi_pvalcorrection_rmethods[Hochberg-val3] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests2::test_multi_pvalcorrection_rmethods[Holm-val4] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests2::test_multi_pvalcorrection_rmethods[SidakSD-val5] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests2::test_multi_pvalcorrection_rmethods[SidakSS-val6] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests2::test_multi_pvalcorrection_rmethods[TSBH_0.05-val7] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests2::test_multi_pvalcorrection_rmethods[rawp-val8] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests2::test_multi_pvalcorrection PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests3::test_multi_pvalcorrection_rmethods[BH-val0] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests3::test_multi_pvalcorrection_rmethods[BY-val1] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests3::test_multi_pvalcorrection_rmethods[Bonferroni-val2] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests3::test_multi_pvalcorrection_rmethods[Hochberg-val3] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests3::test_multi_pvalcorrection_rmethods[Holm-val4] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests3::test_multi_pvalcorrection_rmethods[SidakSD-val5] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests3::test_multi_pvalcorrection_rmethods[SidakSS-val6] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests3::test_multi_pvalcorrection_rmethods[TSBH_0.05-val7] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests3::test_multi_pvalcorrection_rmethods[rawp-val8] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests3::test_multi_pvalcorrection PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests4::test_multi_pvalcorrection_rmethods[BH-val0] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests4::test_multi_pvalcorrection_rmethods[BY-val1] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests4::test_multi_pvalcorrection_rmethods[Bonferroni-val2] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests4::test_multi_pvalcorrection_rmethods[Hochberg-val3] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests4::test_multi_pvalcorrection_rmethods[Holm-val4] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests4::test_multi_pvalcorrection_rmethods[SidakSD-val5] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests4::test_multi_pvalcorrection_rmethods[SidakSS-val6] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests4::test_multi_pvalcorrection_rmethods[TSBH_0.05-val7] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests4::test_multi_pvalcorrection_rmethods[rawp-val8] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests4::test_multi_pvalcorrection PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-b-0.01] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-b-0.05] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-b-0.1] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-s-0.01] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-s-0.05] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-s-0.1] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-sh-0.01] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-sh-0.05] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-sh-0.1] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-hs-0.01] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-hs-0.05] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-hs-0.1] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-h-0.01] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-h-0.05] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-h-0.1] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-hommel-0.01] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-hommel-0.05] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-hommel-0.1] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-fdr_i-0.01] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-fdr_i-0.05] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-fdr_i-0.1] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-fdr_n-0.01] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-fdr_n-0.05] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-fdr_n-0.1] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-fdr_tsbky-0.01] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-fdr_tsbky-0.05] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-fdr_tsbky-0.1] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-fdr_tsbh-0.01] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-fdr_tsbh-0.05] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-fdr_tsbh-0.1] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-fdr_gbs-0.01] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-fdr_gbs-0.05] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-fdr_gbs-0.1] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-b-0.01] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-b-0.05] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-b-0.1] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-s-0.01] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-s-0.05] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-s-0.1] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-sh-0.01] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-sh-0.05] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-sh-0.1] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-hs-0.01] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-hs-0.05] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-hs-0.1] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-h-0.01] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-h-0.05] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-h-0.1] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-hommel-0.01] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-hommel-0.05] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-hommel-0.1] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-fdr_i-0.01] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-fdr_i-0.05] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-fdr_i-0.1] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-fdr_n-0.01] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-fdr_n-0.05] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-fdr_n-0.1] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-fdr_tsbky-0.01] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-fdr_tsbky-0.05] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-fdr_tsbky-0.1] PASSED [ 30%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-fdr_tsbh-0.01] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-fdr_tsbh-0.05] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-fdr_tsbh-0.1] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-fdr_gbs-0.01] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-fdr_gbs-0.05] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-fdr_gbs-0.1] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-b-0.01] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-b-0.05] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-b-0.1] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-s-0.01] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-s-0.05] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-s-0.1] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-sh-0.01] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-sh-0.05] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-sh-0.1] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-hs-0.01] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-hs-0.05] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-hs-0.1] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-h-0.01] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-h-0.05] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-h-0.1] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-hommel-0.01] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-hommel-0.05] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-hommel-0.1] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-fdr_i-0.01] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-fdr_i-0.05] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-fdr_i-0.1] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-fdr_n-0.01] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-fdr_n-0.05] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-fdr_n-0.1] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-fdr_tsbky-0.01] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-fdr_tsbky-0.05] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-fdr_tsbky-0.1] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-fdr_tsbh-0.01] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-fdr_tsbh-0.05] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-fdr_tsbh-0.1] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-fdr_gbs-0.01] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-fdr_gbs-0.05] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-fdr_gbs-0.1] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-b-0.01] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-b-0.05] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-b-0.1] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-s-0.01] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-s-0.05] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-s-0.1] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-sh-0.01] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-sh-0.05] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-sh-0.1] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-hs-0.01] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-hs-0.05] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-hs-0.1] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-h-0.01] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-h-0.05] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-h-0.1] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-hommel-0.01] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-hommel-0.05] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-hommel-0.1] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-fdr_i-0.01] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-fdr_i-0.05] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-fdr_i-0.1] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-fdr_n-0.01] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-fdr_n-0.05] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-fdr_n-0.1] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-fdr_tsbky-0.01] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-fdr_tsbky-0.05] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-fdr_tsbky-0.1] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-fdr_tsbh-0.01] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-fdr_tsbh-0.05] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-fdr_tsbh-0.1] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-fdr_gbs-0.01] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-fdr_gbs-0.05] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-fdr_gbs-0.1] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-b-0.01] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-b-0.05] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-b-0.1] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-s-0.01] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-s-0.05] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-s-0.1] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-sh-0.01] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-sh-0.05] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-sh-0.1] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-hs-0.01] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-hs-0.05] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-hs-0.1] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-h-0.01] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-h-0.05] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-h-0.1] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-hommel-0.01] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-hommel-0.05] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-hommel-0.1] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-fdr_i-0.01] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-fdr_i-0.05] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-fdr_i-0.1] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-fdr_n-0.01] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-fdr_n-0.05] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-fdr_n-0.1] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-fdr_tsbky-0.01] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-fdr_tsbky-0.05] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-fdr_tsbky-0.1] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-fdr_tsbh-0.01] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-fdr_tsbh-0.05] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-fdr_tsbh-0.1] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-fdr_gbs-0.01] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-fdr_gbs-0.05] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-fdr_gbs-0.1] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-b-0.01] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-b-0.05] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-b-0.1] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-s-0.01] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-s-0.05] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-s-0.1] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-sh-0.01] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-sh-0.05] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-sh-0.1] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-hs-0.01] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-hs-0.05] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-hs-0.1] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-h-0.01] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-h-0.05] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-h-0.1] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-hommel-0.01] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-hommel-0.05] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-hommel-0.1] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-fdr_i-0.01] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-fdr_i-0.05] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-fdr_i-0.1] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-fdr_n-0.01] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-fdr_n-0.05] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-fdr_n-0.1] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-fdr_tsbky-0.01] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-fdr_tsbky-0.05] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-fdr_tsbky-0.1] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-fdr_tsbh-0.01] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-fdr_tsbh-0.05] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-fdr_tsbh-0.1] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-fdr_gbs-0.01] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-fdr_gbs-0.05] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-fdr_gbs-0.1] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-b-0.01] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-b-0.05] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-b-0.1] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-s-0.01] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-s-0.05] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-s-0.1] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-sh-0.01] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-sh-0.05] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-sh-0.1] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-hs-0.01] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-hs-0.05] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-hs-0.1] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-h-0.01] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-h-0.05] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-h-0.1] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-hommel-0.01] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-hommel-0.05] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-hommel-0.1] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-fdr_i-0.01] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-fdr_i-0.05] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-fdr_i-0.1] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-fdr_n-0.01] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-fdr_n-0.05] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-fdr_n-0.1] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-fdr_tsbky-0.01] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-fdr_tsbky-0.05] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-fdr_tsbky-0.1] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-fdr_tsbh-0.01] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-fdr_tsbh-0.05] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-fdr_tsbh-0.1] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-fdr_gbs-0.01] PASSED [ 31%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-fdr_gbs-0.05] PASSED [ 32%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-fdr_gbs-0.1] PASSED [ 32%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-b-0.01] PASSED [ 32%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-b-0.05] PASSED [ 32%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-b-0.1] PASSED [ 32%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-s-0.01] PASSED [ 32%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-s-0.05] PASSED [ 32%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-s-0.1] PASSED [ 32%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-sh-0.01] PASSED [ 32%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-sh-0.05] PASSED [ 32%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-sh-0.1] PASSED [ 32%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-hs-0.01] PASSED [ 32%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-hs-0.05] PASSED [ 32%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-hs-0.1] PASSED [ 32%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-h-0.01] PASSED [ 32%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-h-0.05] PASSED [ 32%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-h-0.1] PASSED [ 32%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-hommel-0.01] PASSED [ 32%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-hommel-0.05] PASSED [ 32%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-hommel-0.1] PASSED [ 32%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-fdr_i-0.01] PASSED [ 32%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-fdr_i-0.05] PASSED [ 32%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-fdr_i-0.1] PASSED [ 32%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-fdr_n-0.01] PASSED [ 32%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-fdr_n-0.05] PASSED [ 32%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-fdr_n-0.1] PASSED [ 32%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-fdr_tsbky-0.01] PASSED [ 32%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-fdr_tsbky-0.05] PASSED [ 32%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-fdr_tsbky-0.1] PASSED [ 32%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-fdr_tsbh-0.01] PASSED [ 32%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-fdr_tsbh-0.05] PASSED [ 32%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-fdr_tsbh-0.1] PASSED [ 32%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-fdr_gbs-0.01] PASSED [ 32%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-fdr_gbs-0.05] PASSED [ 32%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-fdr_gbs-0.1] PASSED [ 32%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-b-0.01] PASSED [ 32%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-b-0.05] PASSED [ 32%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-b-0.1] PASSED [ 32%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-s-0.01] PASSED [ 32%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-s-0.05] PASSED [ 32%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-s-0.1] PASSED [ 32%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-sh-0.01] PASSED [ 32%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-sh-0.05] PASSED [ 32%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-sh-0.1] PASSED [ 32%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-hs-0.01] PASSED [ 32%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-hs-0.05] PASSED [ 32%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-hs-0.1] PASSED [ 32%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-h-0.01] PASSED [ 32%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-h-0.05] PASSED [ 32%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-h-0.1] PASSED [ 32%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-hommel-0.01] PASSED [ 32%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-hommel-0.05] PASSED [ 32%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-hommel-0.1] PASSED [ 32%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-fdr_i-0.01] PASSED [ 32%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-fdr_i-0.05] PASSED [ 32%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-fdr_i-0.1] PASSED [ 32%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-fdr_n-0.01] PASSED [ 32%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-fdr_n-0.05] PASSED [ 32%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-fdr_n-0.1] PASSED [ 32%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-fdr_tsbky-0.01] PASSED [ 32%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-fdr_tsbky-0.05] PASSED [ 32%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-fdr_tsbky-0.1] PASSED [ 32%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-fdr_tsbh-0.01] PASSED [ 32%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-fdr_tsbh-0.05] PASSED [ 32%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-fdr_tsbh-0.1] PASSED [ 32%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-fdr_gbs-0.01] PASSED [ 32%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-fdr_gbs-0.05] PASSED [ 32%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-fdr_gbs-0.1] PASSED [ 32%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[9-b-0.01] PASSED [ 32%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[9-b-0.05] PASSED [ 32%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[9-s-0.05] PASSED [ 32%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[9-s-0.1] PASSED [ 32%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestWeightstats::test_weightstats_ddof_tests PASSED [ 34%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestWeightstats::test_comparemeans_convenient_interface PASSED [ 34%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestWeightstats::test_comparemeans_convenient_interface_1d PASSED [ 34%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestWeightstats1d_ddof::test_basic PASSED [ 34%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestWeightstats1d_ddof::test_confint_mean PASSED [ 34%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestWeightstats2d::test_ttest_2sample PASSED [ 34%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestWeightstats2d::test_confint_mean PASSED [ 34%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestWeightstats2d::test_corr PASSED [ 34%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestWeightstats2d_ddof::test_confint_mean PASSED [ 34%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestWeightstats2d_ddof::test_corr PASSED [ 34%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestWeightstats2d_nobs::test_corr PASSED [ 34%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::test_ttest_ind_with_uneq_var PASSED [ 34%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::test_ztest_ztost PASSED [ 34%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestZTest::test PASSED [ 34%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tests/test_package.py::test_lazy_imports PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tests/test_package.py::test_docstring_optimization_compat PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_catadd.py::test_add_indep PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_data.py::test_missing_data_pandas PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_data.py::test_dataframe PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_data.py::test_patsy_577 PASSED [ 35%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_decorators.py::test_deprecated_alias[None-None-UserWarning] PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_decorators.py::test_deprecated_alias[None-0.11-FutureWarning] PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_decorators.py::test_deprecated_alias[None-0.11-UserWarning] PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_docstring.py::test_remove_parameter PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_docstring.py::test_insert_parameters PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_docstring.py::test_set_unknown PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_docstring.py::test_replace_block PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_docstring.py::test_repeat PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_docstring.py::test_bad PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_docstring.py::test_empty_ds PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_docstring.py::test_yield_return PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_docstring.py::test_multiple_sig PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_eval_measures.py::test_eval_measures PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_eval_measures.py::test_ic_equivalence[aic-aic_sigma] PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_eval_measures.py::test_ic_equivalence[aicc-aicc_sigma] PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_eval_measures.py::test_ic_equivalence[bic-bic_sigma] PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_eval_measures.py::test_ic_equivalence[hqic-hqic_sigma] PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_eval_measures.py::test_ic PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_eval_measures.py::test_iqr_axis PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_grouputils.py::TestMultiIndexGrouping::test_reindex PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_grouputils.py::TestMultiIndexGrouping::test_count_categories PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_grouputils.py::TestMultiIndexGrouping::test_sort PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_grouputils.py::TestMultiIndexGrouping::test_transform_dataframe PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_grouputils.py::TestMultiIndexGrouping::test_transform_array PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_grouputils.py::TestMultiIndexGrouping::test_transform_slices PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_grouputils.py::TestMultiIndexGrouping::test_dummies_groups PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_grouputils.py::TestMultiIndexGrouping::test_dummy_sparse PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_grouputils.py::TestIndexGrouping::test_reindex PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_grouputils.py::TestIndexGrouping::test_count_categories PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_grouputils.py::TestIndexGrouping::test_sort PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_grouputils.py::TestIndexGrouping::test_transform_dataframe PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_grouputils.py::TestIndexGrouping::test_transform_array PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_grouputils.py::TestIndexGrouping::test_transform_slices PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_grouputils.py::TestIndexGrouping::test_dummies_groups PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_grouputils.py::TestIndexGrouping::test_dummy_sparse PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_grouputils.py::test_init_api PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_grouputils.py::test_combine_indices PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_grouputils.py::test_group_sums PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_grouputils.py::test_group_class PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_grouputils.py::test_dummy_sparse PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_linalg.py::test_stationary_solve_1d PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_linalg.py::test_stationary_solve_2d PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_numdiff.py::TestGradMNLogit::test_score PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_numdiff.py::TestGradMNLogit::test_hess PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_numdiff.py::TestGradLogit::test_score PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_numdiff.py::TestGradLogit::test_hess PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_numdiff.py::TestDerivativeFun::test_grad_fun1_fd PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_numdiff.py::TestDerivativeFun::test_grad_fun1_fdc PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_numdiff.py::TestDerivativeFun::test_grad_fun1_cs PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_numdiff.py::TestDerivativeFun::test_hess_fun1_fd PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_numdiff.py::TestDerivativeFun::test_hess_fun1_cs PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_numdiff.py::TestDerivativeFun2::test_grad_fun1_fd PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_numdiff.py::TestDerivativeFun2::test_grad_fun1_fdc PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_numdiff.py::TestDerivativeFun2::test_grad_fun1_cs PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_numdiff.py::TestDerivativeFun2::test_hess_fun1_fd PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_numdiff.py::TestDerivativeFun2::test_hess_fun1_cs PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_numdiff.py::TestDerivativeFun1::test_grad_fun1_fd PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_numdiff.py::TestDerivativeFun1::test_grad_fun1_fdc PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_numdiff.py::TestDerivativeFun1::test_grad_fun1_cs PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_numdiff.py::TestDerivativeFun1::test_hess_fun1_fd PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_numdiff.py::TestDerivativeFun1::test_hess_fun1_cs PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_numdiff.py::test_dtypes PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_numdiff.py::test_vectorized PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_parallel.py::test_parallel PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_rootfinding.py::test_brentq_expanding PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_sequences.py::test_discrepancy PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_sequences.py::test_van_der_corput PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_sequences.py::test_primes PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_sequences.py::test_halton PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_testing.py::test_bad_table PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_testing.py::test_holder PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestTools::test_add_constant_list PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestTools::test_add_constant_1d PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestTools::test_add_constant_has_constant1d PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestTools::test_add_constant_has_constant2d PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestTools::test_add_constant_series PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestTools::test_add_constant_dataframe PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestTools::test_add_constant_zeros PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestTools::test_recipr PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestTools::test_recipr0 PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestTools::test_extendedpinv PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestTools::test_extendedpinv_singular PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestTools::test_fullrank PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_tools.py::test_estimable PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestCategoricalNumerical::test_array2d PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestCategoricalNumerical::test_array1d PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestCategoricalNumerical::test_array1d_col_error PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestCategoricalNumerical::test_array2d_drop PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestCategoricalNumerical::test_array1d_drop PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestCategoricalNumerical::test_arraylike2d SKIPPED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestCategoricalNumerical::test_arraylike1d SKIPPED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestCategoricalNumerical::test_arraylike2d_drop SKIPPED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestCategoricalNumerical::test_arraylike1d_drop SKIPPED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestCategoricalString::test_array1d_col_error PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestCategoricalString::test_array2d SKIPPED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestCategoricalString::test_array1d SKIPPED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestCategoricalString::test_array2d_drop SKIPPED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestCategoricalString::test_array1d_drop PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestCategoricalString::test_arraylike2d SKIPPED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestCategoricalString::test_arraylike1d SKIPPED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestCategoricalString::test_arraylike2d_drop SKIPPED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestCategoricalString::test_arraylike1d_drop SKIPPED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_tools.py::test_pandas_const_series PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_tools.py::test_pandas_const_series_prepend PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_tools.py::test_pandas_const_df PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_tools.py::test_pandas_const_df_prepend PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestNanDot::test_11 PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestNanDot::test_12 PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestNanDot::test_13 PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestNanDot::test_14 PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestNanDot::test_41 PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestNanDot::test_23 PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestNanDot::test_32 PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestNanDot::test_24 PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestNanDot::test_25 PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestNanDot::test_66 PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestEnsure2d::test_enfore_numpy PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestEnsure2d::test_pandas PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestEnsure2d::test_numpy PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_tools.py::test_categorical_pandas_errors PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_tools.py::test_categorical_series PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_tools.py::test_categorical_dataframe PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_tools.py::test_categorical_errors PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_transform_model.py::test_standardize1 PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_transform_model.py::test_standardize_ols PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_web.py::TestWeb::test_string PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_web.py::TestWeb::test_function PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_web.py::TestWeb::test_nothing PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_web.py::TestWeb::test_errors PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::TestArrayLike::test_1d[True] PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::TestArrayLike::test_1d[False] PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::TestArrayLike::test_2d[True] PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::TestArrayLike::test_2d[False] PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::TestArrayLike::test_3d PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::TestArrayLike::test_right_squeeze_and_pad PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::TestArrayLike::test_contiguous PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::TestArrayLike::test_dtype PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::TestArrayLike::test_dot[True] XFAIL [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::TestArrayLike::test_dot[False] XFAIL [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::TestArrayLike::test_slice[True] PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::TestArrayLike::test_slice[False] PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::test_right_squeeze PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::test_wrap_pandas[True] PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::test_wrap_pandas[False] PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::test_wrap_pandas_append PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::test_wrap_pandas_append_non_string PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::test_optional_dict_like[dict] PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::test_optional_dict_like[OrderedDict] PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::test_optional_dict_like[CustomDict] PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::test_optional_dict_like[None] PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::test_optional_dict_like_error PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::test_string PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::test_optional_string PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::test_float_like[1.0] PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::test_float_like[1.1] PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::test_float_like[floating2] PASSED [ 35%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::test_float_like[floating3] PASSED [ 36%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::test_float_like[(1.2+0j)] PASSED [ 36%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::test_not_float_like[True] PASSED [ 36%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::test_not_float_like[3.2] PASSED [ 36%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::test_not_float_like[None] PASSED [ 36%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::test_int_like[1.0] PASSED [ 36%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::test_not_bool_like PASSED [ 36%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-n-True-None-True-True] PASSED [ 36%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-c-True-2-False-False] PASSED [ 36%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-n-True-2-False-False] PASSED [ 36%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-n-True-2-True-False] PASSED [ 36%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-c-True-2-False-True] PASSED [ 36%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-c-True-2-True-True] PASSED [ 36%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-n-True-2-False-True] PASSED [ 36%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-n-True-2-True-True] PASSED [ 36%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-c-True-None-False-False] PASSED [ 36%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-c-True-None-True-False] PASSED [ 36%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-n-True-None-False-False] PASSED [ 36%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-n-True-None-True-False] PASSED [ 36%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-c-True-None-False-True] PASSED [ 36%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-c-True-None-True-True] PASSED [ 36%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-n-True-None-False-True] PASSED [ 36%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-n-True-None-True-True] PASSED [ 36%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order1-ct-False-2-False-False] PASSED [ 36%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order1-ct-False-2-True-False] PASSED [ 36%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order1-ct-False-2-False-True] PASSED [ 36%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order1-ct-False-2-True-True] PASSED [ 36%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-2-ct-False-2-False-False] PASSED [ 36%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-ct-False-2-False-False] PASSED [ 36%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-ct-False-2-True-False] PASSED [ 36%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-ct-False-2-False-True] PASSED [ 36%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-ct-False-2-True-True] PASSED [ 36%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-ct-False-None-False-False] PASSED [ 36%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-ct-False-None-True-False] PASSED [ 36%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-ct-False-None-False-True] PASSED [ 36%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-ct-False-None-True-True] PASSED [ 36%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-ct-True-2-False-False] PASSED [ 36%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-ct-True-2-True-False] PASSED [ 36%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-ct-True-2-False-True] PASSED [ 36%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-ct-True-2-True-True] PASSED [ 36%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-ct-True-None-False-False] PASSED [ 36%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-ct-True-None-True-False] PASSED [ 36%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-ct-True-None-False-True] PASSED [ 36%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-ct-True-None-True-True] PASSED [ 36%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-c-False-2-False-False] PASSED [ 36%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-c-False-2-True-False] PASSED [ 36%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-n-False-2-False-False] PASSED [ 36%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-n-False-2-True-False] PASSED [ 36%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-c-False-2-False-True] PASSED [ 36%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-c-False-2-True-True] PASSED [ 36%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-n-False-2-False-True] PASSED [ 36%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-n-False-2-True-True] PASSED [ 36%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-c-False-None-False-False] PASSED [ 36%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-c-False-None-True-False] PASSED [ 36%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-n-False-None-False-False] PASSED [ 36%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-n-False-None-True-False] PASSED [ 36%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-c-False-None-False-True] PASSED [ 36%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-c-False-None-True-True] PASSED [ 36%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-n-False-None-False-True] PASSED [ 36%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-n-False-None-True-True] PASSED [ 36%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-c-True-2-False-False] PASSED [ 36%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-c-True-2-True-False] PASSED [ 36%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-n-True-2-False-False] PASSED [ 36%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-n-True-2-True-False] PASSED [ 36%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-c-True-2-False-True] PASSED [ 36%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-c-True-2-True-True] PASSED [ 36%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-n-True-2-False-True] PASSED [ 36%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-n-True-2-True-True] PASSED [ 36%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-c-True-None-False-False] PASSED [ 36%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-c-True-None-True-False] PASSED [ 36%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-n-True-None-False-False] PASSED [ 36%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-n-True-None-True-False] PASSED [ 36%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-c-True-None-False-True] PASSED [ 36%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-c-True-None-True-True] PASSED [ 36%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-n-True-None-False-True] PASSED [ 36%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-n-True-None-True-True] PASSED [ 36%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-ct-False-2-False-False] PASSED [ 36%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-ct-False-2-True-False] PASSED [ 36%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-ct-False-2-False-True] PASSED [ 36%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-ct-False-2-True-True] PASSED [ 36%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-ct-False-2-False-False] PASSED [ 36%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-ct-False-2-False-False] PASSED [ 36%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-ct-False-2-True-False] PASSED [ 36%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-ct-False-2-False-True] PASSED [ 36%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-ct-False-2-True-True] PASSED [ 36%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-ct-False-None-False-False] PASSED [ 36%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-ct-False-None-True-False] PASSED [ 36%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-ct-False-None-False-True] PASSED [ 36%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-ct-False-None-True-True] PASSED [ 36%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-ct-True-2-False-False] PASSED [ 36%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-ct-True-2-True-False] PASSED [ 36%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-ct-True-2-False-True] PASSED [ 36%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-ct-True-2-True-True] PASSED [ 36%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-ct-True-None-False-False] PASSED [ 36%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-ct-True-None-True-False] PASSED [ 36%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-ct-True-None-False-True] PASSED [ 36%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-ct-True-None-True-True] PASSED [ 36%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-c-False-2-False-False] PASSED [ 36%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-c-False-2-True-False] PASSED [ 36%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-n-False-2-False-False] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-n-False-2-True-False] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-c-False-2-False-True] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-c-False-2-True-True] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-n-False-2-False-True] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-n-False-2-True-True] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-c-False-None-False-False] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-c-False-None-True-False] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-n-False-None-False-False] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-n-False-None-True-False] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-c-False-None-False-True] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-c-False-None-True-True] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-n-False-None-False-True] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-n-False-None-True-True] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-c-True-2-False-False] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-c-True-2-True-False] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-n-True-2-False-False] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-n-True-2-True-False] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-c-True-2-False-True] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-c-True-2-True-True] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-n-True-2-False-True] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-n-True-2-True-True] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-c-True-None-False-False] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-c-True-None-True-False] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-n-True-None-False-False] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-n-True-None-True-False] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-c-True-None-False-True] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-c-True-None-True-True] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-n-True-None-False-True] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-n-True-None-True-True] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-ct-False-2-False-False] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-ct-False-2-True-False] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-ct-False-2-False-True] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-ct-False-2-True-True] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-ct-False-None-False-False] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-ct-False-None-True-False] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-ct-False-None-False-True] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-ct-False-None-True-True] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-ct-True-2-False-False] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-ct-True-2-True-False] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-ct-True-2-False-True] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-ct-True-2-True-True] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-ct-True-None-False-False] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-ct-True-None-True-False] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-ct-True-None-False-True] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-ct-True-None-True-True] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-c-False-2-False-False] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-c-False-2-True-False] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-n-False-2-False-False] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-n-False-2-True-False] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-c-False-2-False-True] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-c-False-2-True-True] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-n-False-2-False-True] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-n-False-2-True-True] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-c-False-None-False-False] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-c-False-None-True-False] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-n-False-None-False-False] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-n-False-None-True-False] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-c-False-None-False-True] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-c-False-None-True-True] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-n-False-None-False-True] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-n-False-None-True-True] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-c-True-2-False-False] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-c-True-2-True-False] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-n-True-2-False-False] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-n-True-2-True-False] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-c-True-2-False-True] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-c-True-2-True-True] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-n-True-2-False-True] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-n-True-2-True-True] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-c-True-None-False-False] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-c-True-None-True-False] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-n-True-None-False-False] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-n-True-None-True-False] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-c-True-None-False-True] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-c-True-None-True-True] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-n-True-None-False-True] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-n-True-None-True-True] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-ct-False-2-False-False] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-ct-False-2-True-False] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-ct-False-2-False-True] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-ct-False-2-True-True] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-ct-False-2-False-False] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-ct-False-2-True-False] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-ct-False-2-False-True] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-ct-False-2-True-True] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-ct-False-None-False-False] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-ct-False-None-True-False] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-ct-False-None-False-True] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-ct-False-None-True-True] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-ct-False-None-False-False] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-ct-False-None-True-False] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-ct-False-None-False-True] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-ct-False-None-True-True] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-ct-True-2-False-False] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-ct-True-2-True-False] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-ct-True-2-False-True] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-ct-True-2-True-True] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-ct-True-2-False-False] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-ct-True-2-True-False] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-ct-True-2-False-True] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-ct-True-2-True-True] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-ct-True-None-False-False] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-ct-True-None-True-False] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-ct-True-None-False-True] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-ct-True-None-True-True] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-ct-True-None-False-False] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-ct-True-None-True-False] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-ct-True-None-False-True] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-ct-True-None-True-True] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-c-False-2-False-False] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-c-False-2-True-False] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-n-False-2-False-False] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-n-False-2-True-False] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-c-False-2-False-True] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-c-False-2-True-True] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-n-False-2-False-True] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-n-False-2-True-True] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-c-False-2-False-False] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-c-False-2-True-False] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-n-False-2-False-False] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-n-False-2-True-False] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-c-False-2-False-True] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-c-False-2-True-True] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-n-False-2-False-True] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-n-False-2-True-True] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-c-False-None-False-False] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-c-False-None-True-False] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-n-False-None-False-False] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-n-False-None-True-False] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-c-False-None-False-True] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-c-False-None-True-True] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-n-False-None-False-True] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-n-False-None-True-True] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-c-False-None-False-False] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-c-False-None-True-False] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-n-False-None-False-False] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-n-False-None-True-False] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-c-False-None-False-True] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-c-False-None-True-True] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-n-False-None-False-True] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-n-False-None-True-True] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-c-True-2-False-False] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-c-True-2-True-False] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-n-True-2-False-False] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-n-True-2-True-False] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-c-True-2-False-True] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-c-True-2-True-True] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-n-True-2-False-True] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-n-True-2-True-True] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-c-True-2-False-False] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-c-True-2-True-False] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-n-True-2-False-False] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-n-True-2-True-False] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-c-True-2-False-True] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-c-True-2-True-True] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-n-True-2-False-True] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-n-True-2-True-True] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-c-True-None-False-False] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-c-True-None-True-False] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-n-True-None-False-False] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-n-True-None-True-False] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-c-True-None-False-True] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-c-True-None-True-True] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-n-True-None-False-True] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-n-True-None-True-True] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-c-True-None-False-False] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-c-True-None-True-False] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-n-True-None-False-False] PASSED [ 37%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-n-True-None-True-False] PASSED [ 38%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-c-True-None-False-True] PASSED [ 38%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-c-True-None-True-True] PASSED [ 38%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-n-True-None-False-True] PASSED [ 38%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-n-True-None-True-True] PASSED [ 38%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-ct-False-2-True-False] PASSED [ 38%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-ct-False-2-False-True] PASSED [ 38%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-ct-False-2-True-True] PASSED [ 38%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-ct-False-None-False-False] PASSED [ 38%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-ct-False-None-True-False] PASSED [ 38%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-ct-False-None-False-True] PASSED [ 38%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-ct-False-None-True-True] PASSED [ 38%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-ct-False-None-False-False] PASSED [ 38%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-ct-False-None-True-False] PASSED [ 38%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-ct-False-None-False-True] PASSED [ 38%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-ct-False-None-True-True] PASSED [ 38%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-ct-True-2-False-False] PASSED [ 38%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-ct-True-2-True-False] PASSED [ 38%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-ct-True-2-False-True] PASSED [ 38%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-ct-True-2-True-True] PASSED [ 38%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-ct-True-2-False-False] PASSED [ 38%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-ct-True-2-True-False] PASSED [ 38%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-ct-True-2-False-True] PASSED [ 38%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order1-ct-True-None-True-False] PASSED [ 38%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order1-ct-True-None-False-True] PASSED [ 38%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order1-ct-True-None-True-True] PASSED [ 38%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order1-n-False-2-False-False] PASSED [ 38%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-2-n-False-2-True-False] PASSED [ 38%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-2-c-False-2-True-True] PASSED [ 38%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order1-c-False-None-False-False] PASSED [ 38%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order1-n-False-None-False-False] PASSED [ 38%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order2-n-True-2-True-True] PASSED [ 39%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order2-c-True-None-False-False] PASSED [ 39%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order2-c-True-None-True-False] PASSED [ 39%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order2-n-True-None-False-False] PASSED [ 39%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order2-n-True-None-True-False] PASSED [ 39%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order2-c-True-None-False-True] PASSED [ 39%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order2-c-True-None-True-True] PASSED [ 39%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order2-n-True-None-False-True] PASSED [ 39%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order2-n-True-None-True-True] PASSED [ 39%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order2-c-True-None-False-False] PASSED [ 39%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order2-c-True-None-True-False] PASSED [ 39%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order2-n-True-None-False-False] PASSED [ 39%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order2-n-True-None-True-False] PASSED [ 39%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order2-c-True-None-False-True] PASSED [ 39%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order2-c-True-None-True-True] PASSED [ 39%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order2-n-True-None-False-True] PASSED [ 39%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order2-n-True-None-True-True] PASSED [ 39%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-ct-False-2-True-False] PASSED [ 39%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-ct-False-2-False-True] PASSED [ 39%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-ct-False-2-True-True] PASSED [ 39%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-ct-False-2-False-False] PASSED [ 39%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-ct-False-2-True-False] PASSED [ 39%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-ct-False-2-False-True] PASSED [ 39%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-ct-False-2-True-True] PASSED [ 39%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-ct-False-2-False-False] PASSED [ 39%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-ct-False-2-False-False-None] PASSED [ 39%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-ct-False-2-True-False-None] PASSED [ 39%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-ct-False-2-False-True-None] PASSED [ 39%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-ct-False-2-True-True-None] PASSED [ 39%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-ct-False-None-False-False-None] PASSED [ 39%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-ct-False-None-True-False-None] PASSED [ 39%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-ct-False-None-False-True-None] PASSED [ 39%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-ct-False-None-True-True-None] PASSED [ 39%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-ct-True-2-False-False-None] PASSED [ 39%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-ct-True-2-True-False-None] PASSED [ 39%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-ct-True-2-False-True-None] PASSED [ 39%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-ct-True-2-True-True-None] PASSED [ 39%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-ct-True-None-False-False-None] PASSED [ 39%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-ct-True-None-True-False-None] PASSED [ 39%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-ct-True-None-False-True-None] PASSED [ 39%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-ct-True-None-True-True-None] PASSED [ 39%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-c-False-2-False-False-None] PASSED [ 39%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-c-False-2-True-False-None] PASSED [ 39%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-n-False-2-False-False-None] PASSED [ 39%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-n-False-2-True-False-None] PASSED [ 39%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-c-False-2-False-True-None] PASSED [ 39%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-c-False-2-True-True-None] PASSED [ 39%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-n-False-2-False-True-None] PASSED [ 39%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-n-False-2-True-True-None] PASSED [ 39%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-c-False-None-False-False-None] PASSED [ 39%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-c-False-None-True-False-None] PASSED [ 39%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-n-False-None-False-False-None] PASSED [ 39%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-n-False-None-True-False-None] PASSED [ 39%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-c-False-None-False-True-None] PASSED [ 39%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-c-False-None-True-True-None] PASSED [ 39%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-n-False-None-False-True-None] PASSED [ 39%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-n-False-None-True-True-None] PASSED [ 39%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-c-True-2-False-False-None] PASSED [ 39%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-c-True-2-True-False-None] PASSED [ 39%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-n-True-2-False-False-None] PASSED [ 39%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-n-True-2-True-False-None] PASSED [ 39%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-c-True-2-False-True-None] PASSED [ 39%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-c-True-2-True-True-None] PASSED [ 39%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-n-True-2-False-True-None] PASSED [ 39%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-n-True-2-True-True-None] PASSED [ 39%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-c-True-None-False-False-None] PASSED [ 39%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-c-True-None-True-False-None] PASSED [ 39%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-n-True-None-False-False-None] PASSED [ 39%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-n-True-None-True-False-None] PASSED [ 39%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-c-True-None-False-True-None] PASSED [ 39%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-c-True-None-True-True-None] PASSED [ 39%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-n-True-None-False-True-None] PASSED [ 39%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-n-True-None-True-True-None] PASSED [ 39%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-ct-False-2-False-False-None] PASSED [ 39%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-ct-False-2-True-False-None] PASSED [ 39%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-ct-False-2-False-True-None] PASSED [ 39%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-ct-False-2-True-True-None] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-ct-False-None-False-False-None] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-ct-False-None-True-False-None] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-ct-False-None-False-True-None] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-ct-False-None-True-True-None] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-ct-True-2-False-False-None] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-ct-True-2-True-False-None] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-ct-True-2-False-True-None] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-ct-True-2-True-True-None] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-ct-True-None-False-False-None] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-ct-True-None-True-False-None] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-ct-True-None-False-True-None] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-ct-True-None-True-True-None] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-c-False-2-False-False-None] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-c-False-2-True-False-None] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-n-False-2-False-False-None] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-n-False-2-True-False-None] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-c-False-2-False-True-None] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-c-False-2-True-True-None] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-n-False-2-False-True-None] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-n-False-2-True-True-None] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-c-False-None-False-False-None] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-c-False-None-True-False-None] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-n-False-None-False-False-None] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-n-False-None-True-False-None] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-c-False-None-False-True-None] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-c-False-None-True-True-None] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-n-False-None-False-True-None] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-n-False-None-True-True-None] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-c-True-2-False-False-None] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-c-True-2-True-False-None] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-n-True-2-False-False-None] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-n-True-2-True-False-None] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-c-True-2-False-True-None] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-c-True-2-True-True-None] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-n-True-2-False-True-None] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-n-True-2-True-True-None] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-c-True-None-False-False-None] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-c-True-None-True-False-None] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-n-True-None-False-False-None] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-n-True-None-True-False-None] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-c-True-None-False-True-None] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-c-True-None-True-True-None] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-n-True-None-False-True-None] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-n-True-None-True-True-None] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-ct-False-2-False-False-None] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-ct-False-2-True-False-None] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-ct-False-2-False-True-None] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-ct-False-2-True-True-None] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-ct-False-None-False-False-None] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-ct-False-None-True-False-None] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-ct-False-None-False-True-None] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-ct-False-None-True-True-None] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-ct-True-2-False-False-None] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-ct-True-2-True-False-None] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-ct-True-2-False-True-None] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-ct-True-2-True-True-None] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-ct-True-None-False-False-None] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-ct-True-None-True-False-None] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-ct-True-None-False-True-None] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-ct-True-None-True-True-None] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-c-False-2-False-False-None] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-c-False-2-True-False-None] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-n-False-2-False-False-None] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-n-False-2-True-False-None] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-c-False-2-False-True-None] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-c-False-2-True-True-None] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-n-False-2-False-True-None] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-n-False-2-True-True-None] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-c-False-None-False-False-None] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-c-False-None-True-False-None] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-n-False-None-False-False-None] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-n-False-None-True-False-None] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-c-False-None-False-True-None] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-c-False-None-True-True-None] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-n-False-None-False-True-None] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-n-False-None-True-True-None] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-c-True-2-False-False-None] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-c-True-2-True-False-None] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-n-True-2-False-False-None] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-n-True-2-True-False-None] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-c-True-2-False-True-None] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-c-True-2-True-True-None] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-n-True-2-False-True-None] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-n-True-2-True-True-None] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-c-True-None-False-False-None] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-c-True-None-True-False-None] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-n-True-None-False-False-None] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-n-True-None-True-False-None] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-c-True-None-False-True-None] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-c-True-None-True-True-None] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-n-True-None-False-True-None] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-n-True-None-True-True-None] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-ct-False-2-False-False-10] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-ct-False-2-True-False-10] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-ct-False-2-False-True-10] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-ct-False-2-True-True-10] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-ct-False-None-False-False-10] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-ct-False-None-True-False-10] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-ct-False-None-False-True-10] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-ct-False-None-True-True-10] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-ct-True-2-False-False-10] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-ct-True-2-True-False-10] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-ct-True-2-False-True-10] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-ct-True-2-True-True-10] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-ct-True-None-False-False-10] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-ct-True-None-True-False-10] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-ct-True-None-False-True-10] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-ct-True-None-True-True-10] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-c-False-2-False-False-10] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-c-False-2-True-False-10] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-n-False-2-False-False-10] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-n-False-2-True-False-10] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-c-False-2-False-True-10] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-c-False-2-True-True-10] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-n-False-2-False-True-10] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-n-False-2-True-True-10] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-c-False-None-False-False-10] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-c-False-None-True-False-10] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-n-False-None-False-False-10] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-n-False-None-True-False-10] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-c-False-None-False-True-10] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-c-False-None-True-True-10] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-n-False-None-False-True-10] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-n-False-None-True-True-10] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-c-True-2-False-False-10] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-c-True-2-True-False-10] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-n-True-2-False-False-10] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-n-True-2-True-False-10] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-c-True-2-False-True-10] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-c-True-2-True-True-10] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-n-True-2-False-True-10] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-n-True-2-True-True-10] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-c-True-None-False-False-10] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-c-True-None-True-False-10] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-n-True-None-False-False-10] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-n-True-None-True-False-10] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-c-True-None-False-True-10] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-c-True-None-True-True-10] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-n-True-None-False-True-10] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-n-True-None-True-True-10] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-ct-False-2-False-False-10] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-ct-False-2-True-False-10] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-ct-False-2-False-True-10] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-ct-False-2-True-True-10] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-ct-False-None-False-False-10] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-ct-False-None-True-False-10] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-ct-False-None-False-True-10] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-ct-False-None-True-True-10] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-ct-True-2-False-False-10] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-ct-True-2-True-False-10] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-ct-True-2-False-True-10] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-ct-True-2-True-True-10] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-ct-True-None-False-False-10] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-ct-True-None-True-False-10] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-ct-True-None-False-True-10] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-ct-True-None-True-True-10] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-c-False-2-False-False-10] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-c-False-2-True-False-10] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-n-False-2-False-False-10] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-n-False-2-True-False-10] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-c-False-2-False-True-10] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-c-False-2-True-True-10] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-n-False-2-False-True-10] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-n-False-2-True-True-10] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-c-False-None-False-False-10] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-c-False-None-True-False-10] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-n-False-None-False-False-10] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-n-False-None-True-False-10] PASSED [ 40%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-c-False-None-False-True-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-c-False-None-True-True-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-n-False-None-False-True-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-n-False-None-True-True-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-c-True-2-False-False-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-c-True-2-True-False-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-n-True-2-False-False-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-n-True-2-True-False-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-c-True-2-False-True-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-c-True-2-True-True-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-n-True-2-False-True-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-n-True-2-True-True-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-c-True-None-False-False-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-c-True-None-True-False-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-n-True-None-False-False-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-n-True-None-True-False-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-c-True-None-False-True-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-c-True-None-True-True-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-n-True-None-False-True-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-n-True-None-True-True-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-ct-False-2-False-False-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-ct-False-2-True-False-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-ct-False-2-False-True-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-ct-False-2-True-True-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-ct-False-None-False-False-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-ct-False-None-True-False-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-ct-False-None-False-True-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-ct-False-None-True-True-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-ct-True-2-False-False-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-ct-True-2-True-False-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-ct-True-2-False-True-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-ct-True-2-True-True-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-ct-True-None-False-False-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-ct-True-None-True-False-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-ct-True-None-False-True-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-ct-True-None-True-True-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-c-False-2-False-False-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-c-False-2-True-False-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-n-False-2-False-False-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-n-False-2-True-False-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-c-False-2-False-True-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-c-False-2-True-True-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-n-False-2-False-True-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-n-False-2-True-True-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-c-False-None-False-False-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-c-False-None-True-False-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-n-False-None-False-False-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-n-False-None-True-False-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-c-False-None-False-True-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-c-False-None-True-True-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-n-False-None-False-True-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-n-False-None-True-True-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-c-True-2-False-False-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-c-True-2-True-False-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-n-True-2-False-False-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-n-True-2-True-False-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-c-True-2-False-True-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-c-True-2-True-True-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-n-True-2-False-True-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-n-True-2-True-True-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-c-True-None-False-False-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-c-True-None-True-False-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-n-True-None-False-False-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-n-True-None-True-False-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-c-True-None-False-True-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-c-True-None-True-True-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-n-True-None-False-True-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-n-True-None-True-True-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-ct-False-2-False-False-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-ct-False-2-True-False-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-ct-False-2-False-True-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-ct-False-2-True-True-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-ct-False-None-False-False-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-ct-False-None-True-False-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-ct-False-None-False-True-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-ct-False-None-True-True-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-ct-True-2-False-False-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-ct-True-2-True-False-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-ct-True-2-False-True-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-ct-True-2-True-True-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-ct-True-None-False-False-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-ct-True-None-True-False-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-ct-True-None-False-True-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-ct-True-None-True-True-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-c-False-2-False-False-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-c-False-2-True-False-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-n-False-2-False-False-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-n-False-2-True-False-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-c-False-2-False-True-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-c-False-2-True-True-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-n-False-2-False-True-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-n-False-2-True-True-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-c-False-None-False-False-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-c-False-None-True-False-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-n-False-None-False-False-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-n-False-None-True-False-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-c-False-None-False-True-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-c-False-None-True-True-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-n-False-None-False-True-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-n-False-None-True-True-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-c-True-2-False-False-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-c-True-2-True-False-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-n-True-2-False-False-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-n-True-2-True-False-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-c-True-2-False-True-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-c-True-2-True-True-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-n-True-2-False-True-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-n-True-2-True-True-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-c-True-None-False-False-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-c-True-None-True-False-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-n-True-None-False-False-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-n-True-None-True-False-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-c-True-None-False-True-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-c-True-None-True-True-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-n-True-None-False-True-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-n-True-None-True-True-10] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-ct-False-2-False-False-None] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-ct-False-2-True-False-None] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-ct-False-2-False-True-None] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-ct-False-2-True-True-None] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-ct-False-None-False-False-None] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-ct-False-None-True-False-None] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-ct-False-None-False-True-None] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-ct-False-None-True-True-None] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-ct-True-2-False-False-None] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-ct-True-2-True-False-None] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-ct-True-2-False-True-None] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-ct-True-2-True-True-None] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-ct-True-None-False-False-None] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-ct-True-None-True-False-None] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-ct-True-None-False-True-None] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-ct-True-None-True-True-None] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-c-False-2-False-False-None] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-c-False-2-True-False-None] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-n-False-2-False-False-None] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-n-False-2-True-False-None] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-c-False-2-False-True-None] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-c-False-2-True-True-None] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-n-False-2-False-True-None] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-n-False-2-True-True-None] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-c-False-None-False-False-None] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-c-False-None-True-False-None] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-n-False-None-False-False-None] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-n-False-None-True-False-None] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-c-False-None-False-True-None] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-c-False-None-True-True-None] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-n-False-None-False-True-None] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-n-False-None-True-True-None] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-c-True-2-False-False-None] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-c-True-2-True-False-None] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-n-True-2-False-False-None] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-n-True-2-True-False-None] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-c-True-2-False-True-None] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-c-True-2-True-True-None] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-n-True-2-False-True-None] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-n-True-2-True-True-None] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-c-True-None-False-False-None] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-c-True-None-True-False-None] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-n-True-None-False-False-None] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-n-True-None-True-False-None] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-c-True-None-False-True-None] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-c-True-None-True-True-None] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-n-True-None-False-True-None] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-n-True-None-True-True-None] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-ct-False-2-False-False] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-ct-False-2-True-False] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-2-ct-False-2-False] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-ct-False-2-False-True] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-ct-False-2-True-True] PASSED [ 41%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-2-ct-False-2-True] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-ct-False-None-False-False] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-ct-False-None-True-False] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-2-ct-False-None-False] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-ct-False-None-False-True] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-ct-False-None-True-True] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-2-ct-False-None-True] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-ct-True-2-False-False] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-ct-True-2-True-False] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-2-ct-True-2-False] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-ct-True-2-False-True] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-ct-True-2-True-True] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-2-ct-True-2-True] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-ct-True-None-False-False] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-ct-True-None-True-False] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-2-ct-True-None-False] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-ct-True-None-False-True] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-ct-True-None-True-True] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-2-ct-True-None-True] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-c-False-2-False-False] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-c-False-2-True-False] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-2-c-False-2-False] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-n-False-2-False-False] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-n-False-2-True-False] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-2-n-False-2-False] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-c-False-2-False-True] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-c-False-2-True-True] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-2-c-False-2-True] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-n-False-2-False-True] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-n-False-2-True-True] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-2-n-False-2-True] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-c-False-None-False-False] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-c-False-None-True-False] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-2-c-False-None-False] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-n-False-None-False-False] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-n-False-None-True-False] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-2-n-False-None-False] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-c-False-None-False-True] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-c-False-None-True-True] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-2-c-False-None-True] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-n-False-None-False-True] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-n-False-None-True-True] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-2-n-False-None-True] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-c-True-2-False-False] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-c-True-2-True-False] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-2-c-True-2-False] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-n-True-2-False-False] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-n-True-2-True-False] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-2-n-True-2-False] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-c-True-2-False-True] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-c-True-2-True-True] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-2-c-True-2-True] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-n-True-2-False-True] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-n-True-2-True-True] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-2-n-True-2-True] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-c-True-None-False-False] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-c-True-None-True-False] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-2-c-True-None-False] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-n-True-None-False-False] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-n-True-None-True-False] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-2-n-True-None-False] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-c-True-None-False-True] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-c-True-None-True-True] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-2-c-True-None-True] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-n-True-None-False-True] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-n-True-None-True-True] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-2-n-True-None-True] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-ct-False-2-False-False] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-ct-False-2-True-False] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-uecm_order1-ct-False-2-False] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-ct-False-2-False-True] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-ct-False-2-True-True] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-uecm_order1-ct-False-2-True] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-ct-False-None-False-False] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-ct-False-None-True-False] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-uecm_order1-ct-False-None-False] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-ct-False-None-False-True] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-ct-False-None-True-True] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-uecm_order1-ct-False-None-True] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-ct-True-2-False-False] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-ct-True-2-True-False] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-uecm_order1-ct-True-2-False] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-ct-True-2-False-True] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-ct-True-2-True-True] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-uecm_order1-ct-True-2-True] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-ct-True-None-False-False] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-ct-True-None-True-False] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-uecm_order1-ct-True-None-False] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-ct-True-None-False-True] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-ct-True-None-True-True] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-uecm_order1-ct-True-None-True] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-c-False-2-False-False] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-c-False-2-True-False] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-uecm_order1-c-False-2-False] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-n-False-2-False-False] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-n-False-2-True-False] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-uecm_order1-n-False-2-False] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-c-False-2-False-True] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-c-False-2-True-True] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-uecm_order1-c-False-2-True] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-n-False-2-False-True] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-n-False-2-True-True] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-uecm_order1-n-False-2-True] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-c-False-None-False-False] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-c-False-None-True-False] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-uecm_order1-c-False-None-False] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-n-False-None-False-False] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-n-False-None-True-False] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-uecm_order1-n-False-None-False] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-c-False-None-False-True] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-c-False-None-True-True] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-uecm_order1-c-False-None-True] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-n-False-None-False-True] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-n-False-None-True-True] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-uecm_order1-n-False-None-True] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-c-True-2-False-False] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-c-True-2-True-False] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-uecm_order1-c-True-2-False] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-n-True-2-False-False] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-n-True-2-True-False] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-uecm_order1-n-True-2-False] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-c-True-2-False-True] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-c-True-2-True-True] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-uecm_order1-c-True-2-True] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-n-True-2-False-True] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-n-True-2-True-True] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-uecm_order1-n-True-2-True] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-c-True-None-False-False] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-c-True-None-True-False] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-uecm_order1-c-True-None-False] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-n-True-None-False-False] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-n-True-None-True-False] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-uecm_order1-n-True-None-False] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-c-True-None-False-True] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-c-True-None-True-True] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-uecm_order1-c-True-None-True] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-n-True-None-False-True] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-n-True-None-True-True] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-uecm_order1-n-True-None-True] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-ct-False-2-False-False] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-ct-False-2-True-False] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-uecm_order1-ct-False-2-False] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-ct-False-2-False-True] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-ct-False-2-True-True] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-uecm_order1-ct-False-2-True] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-ct-False-None-False-False] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-ct-False-None-True-False] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-uecm_order1-ct-False-None-False] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-ct-False-None-False-True] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-ct-False-None-True-True] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-uecm_order1-ct-False-None-True] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-ct-True-2-False-False] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-ct-True-2-True-False] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-uecm_order1-ct-True-2-False] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-ct-True-2-False-True] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-ct-True-2-True-True] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-uecm_order1-ct-True-2-True] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-ct-True-None-False-False] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-ct-True-None-True-False] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-uecm_order1-ct-True-None-False] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-ct-True-None-False-True] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-ct-True-None-True-True] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-uecm_order1-ct-True-None-True] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-c-False-2-False-False] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-c-False-2-True-False] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-uecm_order1-c-False-2-False] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-n-False-2-False-False] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-n-False-2-True-False] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-uecm_order1-n-False-2-False] PASSED [ 42%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-c-False-2-False-True] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-c-False-2-True-True] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-uecm_order1-c-False-2-True] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-n-False-2-False-True] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-n-False-2-True-True] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-uecm_order1-n-False-2-True] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-c-False-None-False-False] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-c-False-None-True-False] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-uecm_order1-c-False-None-False] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-n-False-None-False-False] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-n-False-None-True-False] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-uecm_order1-n-False-None-False] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-c-False-None-False-True] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-c-False-None-True-True] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-uecm_order1-c-False-None-True] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-n-False-None-False-True] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-n-False-None-True-True] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-uecm_order1-n-False-None-True] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-c-True-2-False-False] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-c-True-2-True-False] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-uecm_order1-c-True-2-False] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-n-True-2-False-False] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-n-True-2-True-False] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-uecm_order1-n-True-2-False] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-c-True-2-False-True] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-c-True-2-True-True] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-uecm_order1-c-True-2-True] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-n-True-2-False-True] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-n-True-2-True-True] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-uecm_order1-n-True-2-True] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-c-True-None-False-False] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-c-True-None-True-False] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-uecm_order1-c-True-None-False] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-n-True-None-False-False] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-n-True-None-True-False] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-uecm_order1-n-True-None-False] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-c-True-None-False-True] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-c-True-None-True-True] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-uecm_order1-c-True-None-True] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-n-True-None-False-True] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-n-True-None-True-True] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-uecm_order1-n-True-None-True] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-ct-False-2-False-False] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-ct-False-2-True-False] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-2-ct-False-2-False] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-ct-False-2-False-True] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-ct-False-2-True-True] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-2-ct-False-2-True] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-ct-False-None-False-False] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-ct-False-None-True-False] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-2-ct-False-None-False] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-ct-False-None-False-True] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-ct-False-None-True-True] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-2-ct-False-None-True] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-ct-True-2-False-False] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-ct-True-2-True-False] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-2-ct-True-2-False] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-ct-True-2-False-True] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-ct-True-2-True-True] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-2-ct-True-2-True] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-ct-True-None-False-False] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-ct-True-None-True-False] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-2-ct-True-None-False] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-ct-True-None-False-True] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-ct-True-None-True-True] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-2-ct-True-None-True] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-c-False-2-False-False] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-c-False-2-True-False] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-2-c-False-2-False] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-n-False-2-False-False] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-n-False-2-True-False] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-2-n-False-2-False] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-c-False-2-False-True] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-c-False-2-True-True] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-2-c-False-2-True] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-n-False-2-False-True] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-n-False-2-True-True] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-2-n-False-2-True] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-c-False-None-False-False] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-c-False-None-True-False] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-2-c-False-None-False] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-n-False-None-False-False] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-n-False-None-True-False] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-2-n-False-None-False] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-c-False-None-False-True] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-c-False-None-True-True] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-2-c-False-None-True] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-n-False-None-False-True] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-n-False-None-True-True] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-2-n-False-None-True] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-c-True-2-False-False] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-c-True-2-True-False] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-2-c-True-2-False] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-n-True-2-False-False] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-n-True-2-True-False] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-2-n-True-2-False] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-c-True-2-False-True] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-c-True-2-True-True] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-2-c-True-2-True] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-n-True-2-False-True] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-n-True-2-True-True] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-2-n-True-2-True] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-c-True-None-False-False] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-c-True-None-True-False] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-2-c-True-None-False] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-n-True-None-False-False] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-n-True-None-True-False] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-2-n-True-None-False] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-c-True-None-False-True] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-c-True-None-True-True] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-2-c-True-None-True] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-n-True-None-False-True] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-n-True-None-True-True] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-2-n-True-None-True] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-ct-False-2-True-False] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-ct-False-2-False-True] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-ct-False-2-True-True] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-ct-False-None-False-False] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-ct-False-None-True-False] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-ct-False-None-False-True] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-ct-False-None-True-True] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-ct-False-None-False-False] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-ct-False-None-True-False] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-ct-False-None-False-True] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-ct-False-None-True-True] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-ct-False-None-False-False] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-ct-False-None-True-False] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-ct-False-None-False-True] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-ct-False-None-True-True] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-ct-False-None-False-False] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-ct-False-None-True-False] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-ct-False-None-False-True] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-ct-False-None-True-True] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-ct-True-2-False-False] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-ct-True-2-True-False] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-ct-True-2-False-True] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-ct-True-2-True-True] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-ct-True-2-False-False] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-ct-True-2-True-False] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-ct-True-2-False-True] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-ct-True-2-True-True] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-ct-True-2-False-False] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-ct-True-2-True-False] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-ct-True-2-False-True] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-ct-True-2-True-True] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-ct-True-2-False-False] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-ct-True-2-True-False] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-ct-True-2-False-True] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-ct-True-2-True-True] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-ct-True-None-False-False] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-ct-True-None-True-False] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-ct-True-None-False-True] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-ct-True-None-True-True] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-ct-True-None-False-False] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-ct-True-None-True-False] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-ct-True-None-False-True] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-ct-True-None-True-True] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-ct-True-None-False-False] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-ct-True-None-True-False] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-ct-True-None-False-True] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-ct-True-None-True-True] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-ct-True-None-False-False] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-ct-True-None-True-False] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg[ct-False] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[ct-False-20-None-None] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[ct-False-20-None-0] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[ct-False-20-None-2] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[ct-False-20-None-4] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[ct-False-20-20-None] PASSED [ 43%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[ct-False-20-20-0] PASSED [ 44%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[ct-False-20-20-2] PASSED [ 44%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[ct-False-20-20-4] PASSED [ 44%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[ct-False-True-None-None] PASSED [ 44%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[ct-False-True-None-0] PASSED [ 44%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[ct-False-True-None-2] PASSED [ 44%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[ct-False-True-None-4] PASSED [ 44%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[ct-False-True-20-None] PASSED [ 44%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[ct-False-True-20-0] PASSED [ 44%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[ct-False-True-20-2] PASSED [ 44%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[ct-False-True-20-4] PASSED [ 44%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-ct-True-None-False-True] PASSED [ 44%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-ct-True-None-True-True] PASSED [ 44%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg[ct-True] PASSED [ 44%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[ct-True-20-None-None] PASSED [ 44%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[ct-True-20-None-0] PASSED [ 44%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[ct-True-20-None-2] PASSED [ 44%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[ct-True-20-None-4] PASSED [ 44%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[ct-True-20-20-None] PASSED [ 44%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[ct-True-20-20-0] PASSED [ 44%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[ct-True-20-20-2] PASSED [ 44%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[ct-True-20-20-4] PASSED [ 44%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[ct-True-True-None-None] PASSED [ 44%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[ct-True-True-None-0] PASSED [ 44%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[ct-True-True-None-2] PASSED [ 44%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[ct-True-True-None-4] PASSED [ 44%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[ct-True-True-20-None] PASSED [ 44%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[ct-True-True-20-0] PASSED [ 44%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[ct-True-True-20-2] PASSED [ 44%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[ct-True-True-20-4] PASSED [ 44%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-n-False-2-True-False] PASSED [ 44%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-c-False-2-False-True] PASSED [ 44%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-c-False-2-True-True] PASSED [ 44%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-n-False-2-False-True] PASSED [ 44%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-n-False-2-True-True] PASSED [ 44%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-c-False-2-False-False] PASSED [ 44%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-c-False-2-True-False] PASSED [ 44%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-n-False-2-False-False] PASSED [ 44%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-n-False-2-True-False] PASSED [ 44%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-c-False-2-False-True] PASSED [ 44%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-c-False-2-True-True] PASSED [ 44%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-n-False-2-False-True] PASSED [ 44%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-n-False-2-True-True] PASSED [ 44%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-c-False-2-False-False] PASSED [ 44%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_prediction_exceptions[2-False] PASSED [ 44%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_prediction_replacements[2] PASSED [ 44%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-c-True-None-True-False] PASSED [ 44%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-n-True-None-False-False] PASSED [ 44%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-n-True-None-False-True] PASSED [ 44%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-n-True-None-True-True] PASSED [ 44%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-c-True-None-True-False] PASSED [ 44%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-n-True-None-True-False] PASSED [ 44%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-c-True-None-False-True] PASSED [ 44%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-c-True-None-True-True] PASSED [ 44%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-n-True-None-False-True] PASSED [ 44%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-n-True-None-True-True] PASSED [ 44%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-c-True-None-True-False] PASSED [ 44%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-n-True-None-False-False] PASSED [ 44%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-n-True-None-True-False] PASSED [ 44%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-c-True-None-False-True] PASSED [ 44%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-c-True-None-True-True] PASSED [ 44%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-n-True-None-False-True] PASSED [ 44%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-n-True-None-True-True] PASSED [ 44%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-c-True-None-True-False] PASSED [ 44%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg[c-False] PASSED [ 44%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[c-False-20-None-None] PASSED [ 44%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[c-False-20-None-0] PASSED [ 44%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[c-False-20-None-2] PASSED [ 44%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[c-False-20-None-4] PASSED [ 44%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[c-False-20-20-None] PASSED [ 44%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[c-False-20-20-0] PASSED [ 44%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[c-False-20-20-2] PASSED [ 44%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[c-False-20-20-4] PASSED [ 44%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[c-False-True-None-None] PASSED [ 44%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[c-False-True-None-0] PASSED [ 44%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[c-False-True-None-2] PASSED [ 44%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[c-False-True-None-4] PASSED [ 44%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[c-False-True-20-None] PASSED [ 44%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[c-False-True-20-0] PASSED [ 44%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[c-False-True-20-2] PASSED [ 44%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[c-False-True-20-4] PASSED [ 44%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-n-True-None-True-False] PASSED [ 44%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg[n-False] PASSED [ 44%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[n-False-20-None-None] PASSED [ 44%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[n-False-20-None-0] PASSED [ 45%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[n-False-20-None-2] PASSED [ 45%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[n-False-20-None-4] PASSED [ 45%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[n-False-20-20-None] PASSED [ 45%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[n-False-20-20-0] PASSED [ 45%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[n-False-20-20-2] PASSED [ 45%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[n-False-20-20-4] PASSED [ 45%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[n-False-True-None-None] PASSED [ 45%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[n-False-True-None-0] PASSED [ 45%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[n-False-True-None-2] PASSED [ 45%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[n-False-True-None-4] PASSED [ 45%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[n-False-True-20-None] PASSED [ 45%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[n-False-True-20-0] PASSED [ 45%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[n-False-True-20-2] PASSED [ 45%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg[c-True] PASSED [ 45%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[c-True-20-None-None] PASSED [ 45%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[c-True-20-None-0] PASSED [ 45%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[c-True-20-None-2] PASSED [ 45%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[c-True-20-None-4] PASSED [ 45%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[c-True-20-20-None] PASSED [ 45%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[c-True-20-20-0] PASSED [ 45%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[c-True-20-20-2] PASSED [ 45%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[c-True-20-20-4] PASSED [ 45%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[c-True-True-None-None] PASSED [ 45%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[c-True-True-None-0] PASSED [ 45%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[c-True-True-None-2] PASSED [ 45%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[c-True-True-None-4] PASSED [ 45%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[c-True-True-20-None] PASSED [ 45%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[c-True-True-20-0] PASSED [ 45%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[c-True-True-20-4] PASSED [ 45%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_prediction_exceptions[None-True] PASSED [ 45%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_prediction_replacements[None] PASSED [ 45%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg[n-True] PASSED [ 45%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[n-True-20-None-None] PASSED [ 45%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[n-True-20-None-0] PASSED [ 45%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[n-True-20-None-2] PASSED [ 45%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[n-True-20-None-4] PASSED [ 45%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[n-True-20-20-None] PASSED [ 45%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[n-True-20-20-0] PASSED [ 45%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[n-True-20-20-2] PASSED [ 45%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[n-True-20-20-4] PASSED [ 45%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[n-True-True-20-0] PASSED [ 45%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_gls.py::test_alternate_arma_estimators_valid PASSED [ 45%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_gls.py::test_alternate_arma_estimators_invalid PASSED [ 45%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_gls.py::test_arma_kwargs PASSED [ 45%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_brockwell_davis_example_517 PASSED [ 45%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_itsmr PASSED [ 45%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_initial_order XFAIL [ 45%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_invalid_orders XFAIL [ 45%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_nonconsecutive_lags PASSED [ 45%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_unbiased_error PASSED [ 45%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_set_default_unbiased PASSED [ 45%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_validate_fixed_params[2-ma_order0-None-None] PASSED [ 45%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_validate_fixed_params[ar_order1-0-fixed_params1-None] PASSED [ 45%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_validate_fixed_params[1-3-fixed_params2-invalid_fixed_params2] PASSED [ 45%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_validate_fixed_params[ar_order3-ma_order3-fixed_params3-invalid_fixed_params3] PASSED [ 45%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_validate_fixed_params[0-0-fixed_params4-invalid_fixed_params4] PASSED [ 45%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_validate_fixed_params[5-ma_order5-fixed_params5-invalid_fixed_params5] PASSED [ 45%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_validate_fixed_params[0-2-fixed_params6-None] PASSED [ 45%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_validate_fixed_params[1-0-fixed_params7-None] PASSED [ 45%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_validate_fixed_params[ar_order8-3-fixed_params8-None] PASSED [ 45%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_validate_fixed_params[2-2-fixed_params9-None] PASSED [ 45%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_package_fixed_and_free_params_info[fixed_params0-spec_ar_lags0-spec_ma_lags0-expected_bunch0] PASSED [ 45%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_package_fixed_and_free_params_info[fixed_params1-spec_ar_lags1-spec_ma_lags1-expected_bunch1] PASSED [ 45%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_package_fixed_and_free_params_info[fixed_params2-spec_ar_lags2-spec_ma_lags2-expected_bunch2] PASSED [ 45%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_stitch_fixed_and_free_params[fixed_lags0-free_lags0-fixed_params0-free_params0-spec_lags0-expected_all_params0] PASSED [ 45%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_stitch_fixed_and_free_params[fixed_lags1-free_lags1-fixed_params1-free_params1-spec_lags1-expected_all_params1] PASSED [ 45%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_stitch_fixed_and_free_params[fixed_lags2-free_lags2-fixed_params2-free_params2-spec_lags2-expected_all_params2] PASSED [ 45%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_stitch_fixed_and_free_params[fixed_lags3-free_lags3-fixed_params3-free_params3-spec_lags3-expected_all_params3] PASSED [ 45%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_stitch_fixed_and_free_params[fixed_lags4-free_lags4-fixed_params4-free_params4-spec_lags4-expected_all_params4] PASSED [ 45%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_stitch_fixed_and_free_params[fixed_lags5-free_lags5-fixed_params5-free_params5-spec_lags5-expected_all_params5] PASSED [ 45%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_stitch_fixed_and_free_params[fixed_lags6-free_lags6-fixed_params6-free_params6-spec_lags6-expected_all_params6] PASSED [ 45%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_stitch_fixed_and_free_params[fixed_lags7-free_lags7-fixed_params7-free_params7-spec_lags7-expected_all_params7] PASSED [ 45%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_itsmr_with_fixed_params[fixed_params0] PASSED [ 45%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_itsmr_with_fixed_params[fixed_params1] PASSED [ 45%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_itsmr_with_fixed_params[fixed_params2] PASSED [ 45%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_unbiased_error_with_fixed_params PASSED [ 45%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_set_default_unbiased_with_fixed_params PASSED [ 45%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_innovations.py::test_brockwell_davis_example_515 PASSED [ 45%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_innovations.py::test_innovations_ma_itsmr PASSED [ 45%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_innovations.py::test_innovations_ma_invalid PASSED [ 45%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_innovations.py::test_brockwell_davis_example_524 PASSED [ 45%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_innovations.py::test_brockwell_davis_example_524_variance XFAIL [ 45%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_innovations.py::test_brockwell_davis_example_525 PASSED [ 45%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_innovations.py::test_brockwell_davis_example_541 PASSED [ 45%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_innovations.py::test_innovations_mle_statespace PASSED [ 45%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_innovations.py::test_innovations_mle_statespace_seasonal PASSED [ 45%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_innovations.py::test_innovations_mle_statespace_nonconsecutive PASSED [ 45%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_innovations.py::test_innovations_mle_integrated PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_innovations.py::test_innovations_mle_misc PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_innovations.py::test_innovations_mle_invalid PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_statespace.py::test_basic PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_statespace.py::test_start_params PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_yule_walker.py::test_brockwell_davis_example_511 PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_yule_walker.py::test_brockwell_davis_example_514 PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_yule_walker.py::test_itsmr PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_yule_walker.py::test_invalid PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_yule_walker.py::test_invalid_xfail XFAIL [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/tests/test_model.py::test_default_trend PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/tests/test_model.py::test_invalid PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/tests/test_model.py::test_yule_walker PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/tests/test_model.py::test_burg PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/tests/test_model.py::test_hannan_rissanen PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/tests/test_model.py::test_innovations PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/tests/test_model.py::test_innovations_mle PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/tests/test_model.py::test_statespace PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/tests/test_model.py::test_low_memory PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/tests/test_model.py::test_clone PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/tests/test_model.py::test_constant_integrated_model_error PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/tests/test_model.py::test_forecast PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/tests/test_model.py::test_forecast_with_exog PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/tests/test_model.py::test_append PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/tests/test_model.py::test_append_with_exog PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/tests/test_model.py::test_append_with_exog_and_trend PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/tests/test_model.py::test_append_with_exog_pandas PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/tests/test_model.py::test_cov_type_none PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/tests/test_model.py::test_nonstationary_gls_error PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/tests/test_model.py::test_hannan_rissanen_with_fixed_params[1-1-fixed_params0] PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/tests/test_model.py::test_hannan_rissanen_with_fixed_params[1-1-fixed_params1] PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/tests/test_model.py::test_hannan_rissanen_with_fixed_params[2-3-fixed_params2] PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/tests/test_model.py::test_hannan_rissanen_with_fixed_params[ar_order3-0-fixed_params3] PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/tests/test_model.py::test_hannan_rissanen_with_fixed_params[ar_order4-ma_order4-fixed_params4] PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/tests/test_params.py::test_init PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/tests/test_params.py::test_set_params_single PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/tests/test_params.py::test_set_params_single_nonconsecutive PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/tests/test_params.py::test_set_params_multiple PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/tests/test_params.py::test_set_poly_short_lags PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/tests/test_params.py::test_set_poly_short_lags_nonconsecutive PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/tests/test_params.py::test_set_poly_longer_lags PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/tests/test_params.py::test_is_stationary PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/tests/test_params.py::test_is_invertible PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/tests/test_params.py::test_is_valid PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/tests/test_params.py::test_repr_str PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification_ar_or_ma[0-0-0-0-params0-p] PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification_ar_or_ma[1-0-0-0-params1-p] PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification_ar_or_ma[1-0-0-0-params2-p] PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification_ar_or_ma[2-0-0-0-params3-p] PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification_ar_or_ma[20-0-0-0-params4-p] PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification_ar_or_ma[0-1-0-0-params5-p] PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification_ar_or_ma[0-1-1-4-params6-p] PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification_ar_or_ma[1-1-0-0-params7-p] PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification_ar_or_ma[1-1-1-4-params8-p] PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification_ar_or_ma[0-0-0-0-params9-q] PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification_ar_or_ma[1-0-0-0-params10-q] PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification_ar_or_ma[1-0-0-0-params11-q] PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification_ar_or_ma[2-0-0-0-params12-q] PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification_ar_or_ma[20-0-0-0-params13-q] PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification_ar_or_ma[0-1-0-0-params14-q] PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification_ar_or_ma[0-1-1-4-params15-q] PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification_ar_or_ma[1-1-0-0-params16-q] PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification_ar_or_ma[1-1-1-4-params17-q] PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification[None-None-0-0-0-0-0-0-0-True-True-False] PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification[None-None-1-0-1-0-0-0-0-True-True-False] PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification[None-None-1-1-1-0-0-0-0-True-True-False] PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification[None-None-1-0-0-0-0-0-4-True-True-False] PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification[None-None-0-0-0-1-1-1-4-True-True-False] PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification[None-None-1-0-0-1-0-0-4-True-True-False] PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification[None-None-1-0-0-1-1-1-4-True-True-False] PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification[None-None-2-1-3-4-1-3-12-True-True-False] PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification[None-None-p8-0-0-1-0-0-4-True-True-False] PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification[None-None-0-0-0-0-0-Q9-4-True-True-False] PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification[None-None-p10-0-q10-P10-0-Q10-4-True-True-False] PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification[None-None-2-1-3-4-1-3-12-False-False-True] PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification[None-None-2-1-3-4-1-3-12-True-False-True] PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification[None-None-2-1-3-4-1-3-12-False-True-True] PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification[True-None-2-1-3-4-1-3-12-False-True-True] PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification[None-2-2-1-3-4-1-3-12-False-True-True] PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification[True-2-2-1-3-4-1-3-12-False-True-True] PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification[y-None-2-1-3-4-1-3-12-False-True-True] PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification[None-exog18-2-1-3-4-1-3-12-False-True-True] PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification[y-exog19-2-1-3-4-1-3-12-False-True-True] PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification[y-exog20-2-1-3-4-1-3-12-False-True-True] PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification[True-exog21-2-1-3-4-1-3-12-False-True-True] PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification[y-2-2-1-3-4-1-3-12-False-True-True] PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_misc PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_invalid PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_valid_estimators[order0-seasonal_order0-None-None-None-valid0] PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_valid_estimators[order1-seasonal_order1-None-None-None-valid1] PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_valid_estimators[order2-seasonal_order2-None-None-None-valid2] PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_valid_estimators[order3-seasonal_order3-None-None-None-valid3] PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_valid_estimators[order4-seasonal_order4-None-None-None-valid4] PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_valid_estimators[order5-seasonal_order5-True-None-None-valid5] PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_valid_estimators[order6-seasonal_order6-False-None-None-valid6] PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_valid_estimators[order7-seasonal_order7-None-True-None-valid7] PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_valid_estimators[order8-seasonal_order8-None-False-None-valid8] PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_valid_estimators[order9-seasonal_order9-None-None-True-valid9] PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_invalid_estimator PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/tests/test_tools.py::test_standardize_lag_order_int PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/tests/test_tools.py::test_standardize_lag_order_list_int PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/tests/test_tools.py::test_standardize_lag_order_tuple_int PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/tests/test_tools.py::test_standardize_lag_order_ndarray_int PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/tests/test_tools.py::test_standardize_lag_order_list_bool PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/tests/test_tools.py::test_standardize_lag_order_tuple_bool PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/tests/test_tools.py::test_standardize_lag_order_ndarray_bool PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/tests/test_tools.py::test_standardize_lag_order_misc PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/tests/test_tools.py::test_standardize_lag_order_invalid PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/arima/tests/test_tools.py::test_validate_basic PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/base/tests/test_base.py::test_pandas_nodates_index PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/base/tests/test_base.py::test_predict_freq PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/base/tests/test_base.py::test_keyerror_start_date PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/base/tests/test_base.py::test_period_index PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/base/tests/test_base.py::test_pandas_dates PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/base/tests/test_base.py::test_get_predict_start_end PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/base/tests/test_datetools.py::test_regex_matching_month PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/base/tests/test_datetools.py::test_regex_matching_quarter PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/base/tests/test_datetools.py::test_dates_from_range PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/base/tests/test_prediction.py::test_basic[True] PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/base/tests/test_prediction.py::test_basic[False] PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/base/tests/test_prediction.py::test_dist[True-None] PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/base/tests/test_prediction.py::test_dist[True-norm] PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/base/tests/test_prediction.py::test_dist[True-t] PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/base/tests/test_prediction.py::test_dist[True-dist3] PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/base/tests/test_prediction.py::test_dist[False-None] PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/base/tests/test_prediction.py::test_dist[False-norm] PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/base/tests/test_prediction.py::test_dist[False-t] PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/base/tests/test_prediction.py::test_dist[False-dist3] PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/base/tests/test_tsa_indexes.py::test_instantiation_valid PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/base/tests/test_tsa_indexes.py::test_prediction_increment_unsupported PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/base/tests/test_tsa_indexes.py::test_prediction_increment_nonpandas PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/base/tests/test_tsa_indexes.py::test_prediction_increment_pandas_noindex PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/base/tests/test_tsa_indexes.py::test_prediction_increment_pandas_dates_daily PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/base/tests/test_tsa_indexes.py::test_prediction_increment_pandas_dates_monthly PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/base/tests/test_tsa_indexes.py::test_prediction_increment_pandas_dates_nanosecond PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/base/tests/test_tsa_indexes.py::test_range_index PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/base/tests/test_tsa_indexes.py::test_prediction_rangeindex PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/base/tests/test_tsa_indexes.py::test_prediction_rangeindex_withstep PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/base/tests/test_tsa_indexes.py::test_custom_index PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/base/tests/test_tsa_indexes.py::test_nonmonotonic_periodindex PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/base/tests/test_tsa_indexes.py::test_nonfull_periodindex XFAIL [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/base/tests/test_tsa_indexes.py::test_get_index_loc_quarterly PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/filters/tests/test_filters.py::test_bking1d PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/filters/tests/test_filters.py::test_bking2d PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/filters/tests/test_filters.py::test_hpfilter PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/filters/tests/test_filters.py::test_cfitz_filter PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/filters/tests/test_filters.py::test_bking_pandas PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/filters/tests/test_filters.py::test_cfitz_pandas PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/filters/tests/test_filters.py::test_hpfilter_pandas PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/filters/tests/test_filters.py::TestFilters::test_convolution PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/filters/tests/test_filters.py::TestFilters::test_convolution2d PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/filters/tests/test_filters.py::TestFilters::test_recursive PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/filters/tests/test_filters.py::TestFilters::test_pandas PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/filters/tests/test_filters.py::TestFilters::test_pandas2d PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/filters/tests/test_filters.py::TestFilters::test_odd_length_filter PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/filters/tests/test_filters.py::test_pandas_freq_decorator PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_stl.py::test_smoke PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_stl.py::test_equivalence_forecast[1-ETSModel] PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_stl.py::test_equivalence_forecast[7-ETSModel] PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_stl.py::test_equivalence_forecast[23-ETSModel] PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_stl.py::test_exceptions PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_stl.py::test_get_prediction PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_stl.py::test_no_var_pred[True] PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_stl.py::test_no_var_pred[False] PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-True-True-True-True-None] PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-True-True-True-True-4] PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-True-True-True-True-12] PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-True-True-True-False-None] PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-True-True-True-False-4] PASSED [ 46%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-True-True-True-False-12] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-True-True-False-True-None] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-True-True-False-True-4] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-True-True-False-True-12] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-True-True-False-False-None] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-True-True-False-False-4] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-True-True-False-False-12] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-True-False-True-True-None] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-True-False-True-True-4] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-True-False-True-True-12] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-True-False-True-False-None] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-True-False-True-False-4] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-True-False-True-False-12] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-True-False-False-True-None] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-True-False-False-True-4] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-True-False-False-True-12] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-True-False-False-False-None] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-True-False-False-False-4] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-True-False-False-False-12] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-False-True-True-True-None] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-False-True-True-True-4] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-False-True-True-True-12] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-False-True-True-False-None] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-False-True-True-False-4] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-False-True-True-False-12] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-False-True-False-True-None] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-False-True-False-True-4] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-False-True-False-True-12] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-False-True-False-False-None] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-False-True-False-False-4] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-False-True-False-False-12] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-False-False-True-True-None] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-False-False-True-True-4] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-False-False-True-True-12] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-False-False-True-False-None] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-False-False-True-False-4] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-False-False-True-False-12] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-False-False-False-True-None] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-False-False-False-True-4] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-False-False-False-True-12] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-False-False-False-False-None] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-False-False-False-False-4] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-False-False-False-False-12] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-True-True-True-True-None] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-True-True-True-True-4] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-True-True-True-True-12] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-True-True-True-False-None] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-True-True-True-False-4] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-True-True-True-False-12] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-True-True-False-True-None] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-True-True-False-True-4] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-True-True-False-True-12] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-True-True-False-False-None] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-True-True-False-False-4] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-True-True-False-False-12] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-True-False-True-True-None] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-True-False-True-True-4] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-True-False-True-True-12] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-True-False-True-False-None] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-True-False-True-False-4] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-True-False-True-False-12] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-True-False-False-True-None] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-True-False-False-True-4] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-True-False-False-True-12] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-True-False-False-False-None] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-True-False-False-False-4] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-True-False-False-False-12] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-False-True-True-True-None] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-False-True-True-True-4] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-False-True-True-True-12] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-False-True-True-False-None] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-False-True-True-False-4] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-False-True-True-False-12] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-False-True-False-True-None] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-False-True-False-True-4] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-False-True-False-True-12] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-False-True-False-False-None] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-False-True-False-False-4] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-False-True-False-False-12] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-False-False-True-True-None] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-False-False-True-True-4] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-False-False-True-True-12] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-False-False-True-False-None] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-False-False-True-False-4] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-False-False-True-False-12] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-False-False-False-True-None] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-False-False-False-True-4] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-False-False-False-True-12] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-False-False-False-False-None] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-False-False-False-False-4] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-False-False-False-False-12] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-True-True-True-True-None] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-True-True-True-True-4] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-True-True-True-True-12] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-True-True-True-False-None] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-True-True-True-False-4] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-True-True-True-False-12] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-True-True-False-True-None] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-True-True-False-True-4] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-True-True-False-True-12] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-True-True-False-False-None] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-True-True-False-False-4] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-True-True-False-False-12] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-True-False-True-True-None] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-True-False-True-True-4] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-True-False-True-True-12] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-True-False-True-False-None] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-True-False-True-False-4] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-True-False-True-False-12] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-True-False-False-True-None] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-True-False-False-True-4] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-True-False-False-True-12] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-True-False-False-False-None] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-True-False-False-False-4] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-True-False-False-False-12] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-False-True-True-True-None] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-False-True-True-True-4] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-False-True-True-True-12] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-False-True-True-False-None] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-False-True-True-False-4] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-False-True-True-False-12] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-False-True-False-True-None] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-False-True-False-True-4] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-False-True-False-True-12] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-False-True-False-False-None] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-False-True-False-False-4] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-False-True-False-False-12] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-False-False-True-True-None] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-False-False-True-True-4] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-False-False-True-True-12] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-False-False-True-False-None] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-False-False-True-False-4] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-False-False-True-False-12] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-False-False-False-True-None] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-False-False-False-True-4] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-False-False-False-True-12] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-False-False-False-False-None] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-False-False-False-False-4] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-False-False-False-False-12] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-True-True-True-True-None] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-True-True-True-True-4] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-True-True-True-True-12] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-True-True-True-False-None] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-True-True-True-False-4] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-True-True-True-False-12] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-True-True-False-True-None] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-True-True-False-True-4] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-True-True-False-True-12] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-True-True-False-False-None] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-True-True-False-False-4] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-True-True-False-False-12] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-True-False-True-True-None] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-True-False-True-True-4] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-True-False-True-True-12] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-True-False-True-False-None] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-True-False-True-False-4] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-True-False-True-False-12] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-True-False-False-True-None] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-True-False-False-True-4] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-True-False-False-True-12] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-True-False-False-False-None] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-True-False-False-False-4] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-True-False-False-False-12] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-False-True-True-True-None] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-False-True-True-True-4] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-False-True-True-True-12] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-False-True-True-False-None] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-False-True-True-False-4] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-False-True-True-False-12] PASSED [ 47%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-False-True-False-True-None] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-False-True-False-True-4] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-False-True-False-True-12] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-False-True-False-False-None] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-False-True-False-False-4] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-False-True-False-False-12] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-False-False-True-True-None] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-False-False-True-True-4] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-False-False-True-True-12] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-False-False-True-False-None] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-False-False-True-False-4] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-False-False-True-False-12] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-False-False-False-True-None] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-False-False-False-True-4] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-False-False-False-True-12] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-False-False-False-False-None] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-False-False-False-False-4] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-False-False-False-False-12] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-True-True-True-True-None] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-True-True-True-True-4] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-True-True-True-True-12] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-True-True-True-False-None] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-True-True-True-False-4] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-True-True-True-False-12] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-True-True-False-True-None] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-True-True-False-True-4] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-True-True-False-True-12] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-True-True-False-False-None] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-True-True-False-False-4] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-True-True-False-False-12] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-True-False-True-True-None] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-True-False-True-True-4] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-True-False-True-True-12] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-True-False-True-False-None] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-True-False-True-False-4] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-True-False-True-False-12] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-True-False-False-True-None] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-True-False-False-True-4] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-True-False-False-True-12] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-True-False-False-False-None] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-True-False-False-False-4] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-True-False-False-False-12] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-False-True-True-True-None] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-False-True-True-True-4] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-False-True-True-True-12] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-False-True-True-False-None] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-False-True-True-False-4] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-False-True-True-False-12] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-False-True-False-True-None] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-False-True-False-True-4] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-False-True-False-True-12] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-False-True-False-False-None] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-False-True-False-False-4] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-False-True-False-False-12] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-False-False-True-True-None] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-False-False-True-True-4] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-False-False-True-True-12] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-False-False-True-False-None] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-False-False-True-False-4] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-False-False-True-False-12] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-False-False-False-True-None] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-False-False-False-True-4] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-False-False-False-True-12] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-False-False-False-False-None] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-False-False-False-False-4] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-False-False-False-False-12] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-True-True-True-True-None] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-True-True-True-True-4] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-True-True-True-True-12] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-True-True-True-False-None] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-True-True-True-False-4] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-True-True-True-False-12] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-True-True-False-True-None] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-True-True-False-True-4] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-True-True-False-True-12] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-True-True-False-False-None] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-True-True-False-False-4] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-True-True-False-False-12] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-True-False-True-True-None] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-True-False-True-True-4] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-True-False-True-True-12] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-True-False-True-False-None] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-True-False-True-False-4] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-True-False-True-False-12] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-True-False-False-True-None] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-True-False-False-True-4] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-True-False-False-True-12] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-True-False-False-False-None] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-True-False-False-False-4] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-True-False-False-False-12] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-False-True-True-True-None] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-False-True-True-True-4] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-False-True-True-True-12] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-False-True-True-False-None] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-False-True-True-False-4] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-False-True-True-False-12] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-False-True-False-True-None] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-False-True-False-True-4] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-False-True-False-True-12] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-False-True-False-False-None] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-False-True-False-False-4] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-False-True-False-False-12] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-False-False-True-True-None] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-False-False-True-True-4] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-False-False-True-True-12] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-False-False-True-False-None] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-False-False-True-False-4] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-False-False-True-False-12] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-False-False-False-True-None] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-False-False-False-True-4] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-False-False-False-True-12] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-False-False-False-False-None] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-False-False-False-False-4] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-False-False-False-False-12] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-True-True-True-True-None] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-True-True-True-True-4] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-True-True-True-True-12] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-True-True-True-False-None] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-True-True-True-False-4] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-True-True-True-False-12] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-True-True-False-True-None] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-True-True-False-True-4] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-True-True-False-True-12] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-True-True-False-False-None] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-True-True-False-False-4] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-True-True-False-False-12] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-True-False-True-True-None] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-True-False-True-True-4] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-True-False-True-True-12] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-True-False-True-False-None] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-True-False-True-False-4] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-True-False-True-False-12] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-True-False-False-True-None] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-True-False-False-True-4] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-True-False-False-True-12] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-True-False-False-False-None] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-True-False-False-False-4] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-True-False-False-False-12] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-False-True-True-True-None] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-False-True-True-True-4] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-False-True-True-True-12] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-False-True-True-False-None] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-False-True-True-False-4] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-False-True-True-False-12] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-False-True-False-True-None] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-False-True-False-True-4] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-False-True-False-True-12] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-False-True-False-False-None] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-False-True-False-False-4] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-False-True-False-False-12] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-False-False-True-True-None] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-False-False-True-True-4] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-False-False-True-True-12] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-False-False-True-False-None] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-False-False-True-False-4] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-False-False-True-False-12] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-False-False-False-True-None] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-False-False-False-True-4] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-False-False-False-True-12] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-False-False-False-False-None] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-False-False-False-False-4] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-False-False-False-False-12] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-True-True-True-True-None] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-True-True-True-True-4] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-True-True-True-True-12] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-True-True-True-False-None] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-True-True-True-False-4] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-True-True-True-False-12] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-True-True-False-True-None] PASSED [ 48%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-True-True-False-True-4] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-True-True-False-True-12] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-True-True-False-False-None] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-True-True-False-False-4] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-True-True-False-False-12] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-True-False-True-True-None] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-True-False-True-True-4] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-True-False-True-True-12] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-True-False-True-False-None] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-True-False-True-False-4] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-True-False-True-False-12] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-True-False-False-True-None] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-True-False-False-True-4] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-True-False-False-True-12] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-True-False-False-False-None] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-True-False-False-False-4] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-True-False-False-False-12] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-False-True-True-True-None] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-False-True-True-True-4] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-False-True-True-True-12] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-False-True-True-False-None] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-False-True-True-False-4] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-False-True-True-False-12] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-False-True-False-True-None] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-False-True-False-True-4] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-False-True-False-True-12] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-False-True-False-False-None] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-False-True-False-False-4] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-False-True-False-False-12] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-False-False-True-True-None] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-False-False-True-True-4] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-False-False-True-True-12] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-False-False-True-False-None] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-False-False-True-False-4] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-False-False-True-False-12] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-False-False-False-True-None] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-False-False-False-True-4] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-False-False-False-True-12] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-False-False-False-False-None] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-False-False-False-False-4] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-False-False-False-False-12] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-True-True-True-True-None] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-True-True-True-True-4] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-True-True-True-True-12] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-True-True-True-False-None] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-True-True-True-False-4] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-True-True-True-False-12] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-True-True-False-True-None] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-True-True-False-True-4] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-True-True-False-True-12] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-True-True-False-False-None] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-True-True-False-False-4] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-True-True-False-False-12] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-True-False-True-True-None] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-True-False-True-True-4] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-True-False-True-True-12] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-True-False-True-False-None] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-True-False-True-False-4] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-True-False-True-False-12] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-True-False-False-True-None] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-True-False-False-True-4] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-True-False-False-True-12] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-True-False-False-False-None] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-True-False-False-False-4] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-True-False-False-False-12] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-False-True-True-True-None] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-False-True-True-True-4] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-False-True-True-True-12] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-False-True-True-False-None] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-False-True-True-False-4] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-False-True-True-False-12] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-False-True-False-True-None] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-False-True-False-True-4] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-False-True-False-True-12] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-False-True-False-False-None] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-False-True-False-False-4] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-False-True-False-False-12] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-False-False-True-True-None] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-False-False-True-True-4] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-False-False-True-True-12] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-False-False-True-False-None] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-False-False-True-False-4] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-False-False-True-False-12] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-False-False-False-True-None] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-False-False-False-True-4] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-False-False-False-True-12] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-False-False-False-False-None] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-False-False-False-False-4] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-False-False-False-False-12] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-True-True-True-True-None] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-True-True-True-True-4] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-True-True-True-True-12] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-True-True-True-False-None] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-True-True-True-False-4] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-True-True-True-False-12] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-True-True-False-True-None] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-True-True-False-True-4] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-True-True-False-True-12] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-True-True-False-False-None] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-True-True-False-False-4] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-True-True-False-False-12] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-True-False-True-True-None] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-True-False-True-True-4] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-True-False-True-True-12] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-True-False-True-False-None] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-True-False-True-False-4] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-True-False-True-False-12] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-True-False-False-True-None] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-True-False-False-True-4] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-True-False-False-True-12] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-True-False-False-False-None] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-True-False-False-False-4] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-True-False-False-False-12] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-False-True-True-True-None] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-False-True-True-True-4] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-False-True-True-True-12] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-False-True-True-False-None] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-False-True-True-False-4] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-False-True-True-False-12] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-False-True-False-True-None] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-False-True-False-True-4] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-False-True-False-True-12] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-False-True-False-False-None] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-False-True-False-False-4] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-False-True-False-False-12] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-False-False-True-True-None] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-False-False-True-True-4] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-False-False-True-True-12] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-False-False-True-False-None] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-False-False-True-False-4] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-False-False-True-False-12] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-False-False-False-True-None] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-False-False-False-True-4] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-False-False-False-True-12] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-False-False-False-False-None] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-False-False-False-False-4] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-False-False-False-False-12] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-True-True-True-True-None] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-True-True-True-True-4] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-True-True-True-True-12] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-True-True-True-False-None] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-True-True-True-False-4] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-True-True-True-False-12] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-True-True-False-True-None] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-True-True-False-True-4] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-True-True-False-True-12] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-True-True-False-False-None] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-True-True-False-False-4] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-True-True-False-False-12] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-True-False-True-True-None] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-True-False-True-True-4] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-True-False-True-True-12] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-True-False-True-False-None] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-True-False-True-False-4] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-True-False-True-False-12] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-True-False-False-True-None] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-True-False-False-True-4] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-True-False-False-True-12] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-True-False-False-False-None] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-True-False-False-False-4] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-True-False-False-False-12] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-False-True-True-True-None] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-False-True-True-True-4] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-False-True-True-True-12] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-False-True-True-False-None] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-False-True-True-False-4] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-False-True-True-False-12] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-False-True-False-True-None] PASSED [ 49%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-False-True-False-True-4] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-False-True-False-True-12] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-False-True-False-False-None] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-False-True-False-False-4] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-False-True-False-False-12] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-False-False-True-True-None] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-False-False-True-True-4] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-False-False-True-True-12] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-False-False-True-False-None] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-False-False-True-False-4] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-False-False-True-False-12] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-False-False-False-True-None] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-False-False-False-True-4] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-False-False-False-True-12] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-False-False-False-False-None] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-False-False-False-False-4] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-False-False-False-False-12] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-True-True-True-True-None] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-True-True-True-True-4] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-True-True-True-True-12] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-True-True-True-False-None] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-True-True-True-False-4] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-True-True-True-False-12] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-True-True-False-True-None] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-True-True-False-True-4] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-True-True-False-True-12] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-True-True-False-False-None] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-True-True-False-False-4] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-True-True-False-False-12] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-True-False-True-True-None] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-True-False-True-True-4] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-True-False-True-True-12] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-True-False-True-False-None] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-True-False-True-False-4] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-True-False-True-False-12] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-True-False-False-True-None] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-True-False-False-True-4] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-True-False-False-True-12] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-True-False-False-False-None] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-True-False-False-False-4] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-True-False-False-False-12] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-False-True-True-True-None] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-False-True-True-True-4] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-False-True-True-True-12] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-False-True-True-False-None] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-False-True-True-False-4] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-False-True-True-False-12] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-False-True-False-True-None] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-False-True-False-True-4] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-False-True-False-True-12] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-False-True-False-False-None] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-False-True-False-False-4] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-False-True-False-False-12] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-False-False-True-True-None] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-False-False-True-True-4] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-False-False-True-True-12] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-False-False-True-False-None] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-False-False-True-False-4] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-False-False-True-False-12] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-False-False-False-True-None] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-False-False-False-True-4] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-False-False-False-True-12] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-False-False-False-False-None] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-False-False-False-False-4] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-False-False-False-False-12] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-True-True-True-True-None] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-True-True-True-True-4] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-True-True-True-True-12] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-True-True-True-False-None] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-True-True-True-False-4] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-True-True-True-False-12] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-True-True-False-True-None] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-True-True-False-True-4] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-True-True-False-True-12] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-True-True-False-False-None] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-True-True-False-False-4] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-True-True-False-False-12] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-True-False-True-True-None] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-True-False-True-True-4] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-True-False-True-True-12] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-True-False-True-False-None] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-True-False-True-False-4] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-True-False-True-False-12] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-True-False-False-True-None] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-True-False-False-True-4] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-True-False-False-True-12] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-True-False-False-False-None] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-True-False-False-False-4] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-True-False-False-False-12] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-False-True-True-True-None] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-False-True-True-True-4] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-False-True-True-True-12] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-False-True-True-False-None] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-False-True-True-False-4] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-False-True-True-False-12] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-False-True-False-True-None] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-False-True-False-True-4] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-False-True-False-True-12] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-False-True-False-False-None] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-False-True-False-False-4] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-False-True-False-False-12] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-False-False-True-True-None] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-False-False-True-True-4] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-False-False-True-True-12] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-False-False-True-False-None] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-False-False-True-False-4] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-False-False-True-False-12] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-False-False-False-True-None] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-False-False-False-True-4] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-False-False-False-True-12] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-False-False-False-False-None] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-False-False-False-False-4] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-False-False-False-False-12] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-True-True-True-True-None] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-True-True-True-True-4] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-True-True-True-True-12] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-True-True-True-False-None] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-True-True-True-False-4] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-True-True-True-False-12] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-True-True-False-True-None] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-True-True-False-True-4] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-True-True-False-True-12] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-True-True-False-False-None] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-True-True-False-False-4] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-True-True-False-False-12] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-True-False-True-True-None] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-True-False-True-True-4] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-True-False-True-True-12] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-True-False-True-False-None] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-True-False-True-False-4] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-True-False-True-False-12] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-True-False-False-True-None] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-True-False-False-True-4] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-True-False-False-True-12] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-True-False-False-False-None] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-True-False-False-False-4] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-True-False-False-False-12] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-False-True-True-True-None] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-False-True-True-True-4] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-False-True-True-True-12] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-False-True-True-False-None] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-False-True-True-False-4] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-False-True-True-False-12] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-False-True-False-True-None] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-False-True-False-True-4] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-False-True-False-True-12] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-False-True-False-False-None] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-False-True-False-False-4] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-False-True-False-False-12] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-False-False-True-True-None] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-False-False-True-True-4] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-False-False-True-True-12] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-False-False-True-False-None] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-False-False-True-False-4] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-False-False-True-False-12] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-False-False-False-True-None] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-False-False-False-True-4] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-False-False-False-True-12] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-False-False-False-False-None] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-False-False-False-False-4] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-False-False-False-False-12] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-True-True-True-True-None] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-True-True-True-True-4] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-True-True-True-True-12] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-True-True-True-False-None] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-True-True-True-False-4] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-True-True-True-False-12] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-True-True-False-True-None] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-True-True-False-True-4] PASSED [ 50%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-True-True-False-True-12] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-True-True-False-False-None] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-True-True-False-False-4] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-True-True-False-False-12] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-True-False-True-True-None] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-True-False-True-True-4] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-True-False-True-True-12] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-True-False-True-False-None] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-True-False-True-False-4] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-True-False-True-False-12] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-True-False-False-True-None] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-True-False-False-True-4] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-True-False-False-True-12] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-True-False-False-False-None] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-True-False-False-False-4] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-True-False-False-False-12] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-False-True-True-True-None] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-False-True-True-True-4] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-False-True-True-True-12] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-False-True-True-False-None] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-False-True-True-False-4] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-False-True-True-False-12] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-False-True-False-True-None] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-False-True-False-True-4] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-False-True-False-True-12] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-False-True-False-False-None] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-False-True-False-False-4] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-False-True-False-False-12] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-False-False-True-True-None] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-False-False-True-True-4] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-False-False-True-True-12] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-False-False-True-False-None] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-False-False-True-False-4] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-False-False-True-False-12] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-False-False-False-True-None] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-False-False-False-True-4] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-False-False-False-True-12] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-False-False-False-False-None] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-False-False-False-False-4] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-False-False-False-False-12] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-True-True-True-True-None] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-True-True-True-True-4] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-True-True-True-True-12] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-True-True-True-False-None] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-True-True-True-False-4] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-True-True-True-False-12] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-True-True-False-True-None] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-True-True-False-True-4] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-True-True-False-True-12] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-True-True-False-False-None] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-True-True-False-False-4] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-True-True-False-False-12] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-True-False-True-True-None] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-True-False-True-True-4] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-True-False-True-True-12] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-True-False-True-False-None] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-True-False-True-False-4] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-True-False-True-False-12] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-True-False-False-True-None] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-True-False-False-True-4] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-True-False-False-True-12] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-True-False-False-False-None] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-True-False-False-False-4] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-True-False-False-False-12] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-False-True-True-True-None] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-False-True-True-True-4] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-False-True-True-True-12] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-False-True-True-False-None] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-False-True-True-False-4] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-False-True-True-False-12] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-False-True-False-True-None] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-False-True-False-True-4] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-False-True-False-True-12] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-False-True-False-False-None] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-False-True-False-False-4] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-False-True-False-False-12] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-False-False-True-True-None] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-False-False-True-True-4] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-False-False-True-True-12] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-False-False-True-False-None] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-False-False-True-False-4] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-False-False-True-False-12] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-False-False-False-True-None] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-False-False-False-True-4] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-False-False-False-True-12] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-False-False-False-False-None] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-False-False-False-False-4] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-False-False-False-False-12] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-True-True-True-True-None] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-True-True-True-True-4] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-True-True-True-True-12] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-True-True-True-False-None] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-True-True-True-False-4] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-True-True-True-False-12] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-True-True-False-True-None] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-True-True-False-True-4] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-True-True-False-True-12] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-True-True-False-False-None] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-True-True-False-False-4] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-True-True-False-False-12] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-True-False-True-True-None] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-True-False-True-True-4] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-True-False-True-True-12] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-True-False-True-False-None] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-True-False-True-False-4] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-True-False-True-False-12] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-True-False-False-True-None] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-True-False-False-True-4] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-True-False-False-True-12] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-True-False-False-False-None] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-True-False-False-False-4] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-True-False-False-False-12] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-False-True-True-True-None] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-False-True-True-True-4] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-False-True-True-True-12] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-False-True-True-False-None] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-False-True-True-False-4] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-False-True-True-False-12] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-False-True-False-True-None] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-False-True-False-True-4] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-False-True-False-True-12] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-False-True-False-False-None] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-False-True-False-False-4] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-False-True-False-False-12] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-False-False-True-True-None] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-False-False-True-True-4] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-False-False-True-True-12] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-False-False-True-False-None] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-False-False-True-False-4] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-False-False-True-False-12] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-False-False-False-True-None] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-False-False-False-True-4] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-False-False-False-True-12] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-False-False-False-False-None] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-False-False-False-False-4] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-False-False-False-False-12] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-True-True-True-True-None] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-True-True-True-True-4] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-True-True-True-True-12] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-True-True-True-False-None] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-True-True-True-False-4] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-True-True-True-False-12] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-True-True-False-True-None] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-True-True-False-True-4] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-True-True-False-True-12] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-True-True-False-False-None] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-True-True-False-False-4] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-True-True-False-False-12] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-True-False-True-True-None] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-True-False-True-True-4] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-True-False-True-True-12] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-True-False-True-False-None] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-True-False-True-False-4] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-True-False-True-False-12] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-True-False-False-True-None] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-True-False-False-True-4] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-True-False-False-True-12] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-True-False-False-False-None] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-True-False-False-False-4] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-True-False-False-False-12] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-False-True-True-True-None] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-False-True-True-True-4] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-False-True-True-True-12] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-False-True-True-False-None] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-False-True-True-False-4] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-False-True-True-False-12] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-False-True-False-True-None] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-False-True-False-True-4] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-False-True-False-True-12] PASSED [ 51%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-False-True-False-False-None] PASSED [ 52%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-False-True-False-False-4] PASSED [ 52%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-False-True-False-False-12] PASSED [ 52%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-False-False-True-True-None] PASSED [ 52%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-False-False-True-True-4] PASSED [ 52%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-False-False-True-True-12] PASSED [ 52%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-False-False-True-False-None] PASSED [ 52%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-False-False-True-False-4] PASSED [ 52%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-False-False-True-False-12] PASSED [ 52%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-False-False-False-True-None] PASSED [ 52%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-False-False-False-True-4] PASSED [ 52%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-False-False-False-True-12] PASSED [ 52%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-False-False-False-False-None] PASSED [ 52%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-False-False-False-False-4] PASSED [ 52%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-False-False-False-False-12] PASSED [ 52%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_alt_index[datetime] PASSED [ 52%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_alt_index[period] PASSED [ 52%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_alt_index[range] PASSED [ 52%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_alt_index[nofreq] PASSED [ 52%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_no_freq PASSED [ 52%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_forecast_errors[type: array, exponential: True] PASSED [ 52%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_forecast_errors[type: array, exponential: False] PASSED [ 52%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_forecast_errors[type: dataframe, exponential: True] PASSED [ 52%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_forecast_errors[type: dataframe, exponential: False] PASSED [ 52%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_forecast_errors[type: series, exponential: True] PASSED [ 52%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_forecast_errors[type: series, exponential: False] PASSED [ 52%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_pi_width PASSED [ 52%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_forecast_seasonal_alignment[type: array, exponential: True-4] PASSED [ 52%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_forecast_seasonal_alignment[type: array, exponential: True-12] PASSED [ 52%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_forecast_seasonal_alignment[type: array, exponential: False-4] PASSED [ 52%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_forecast_seasonal_alignment[type: array, exponential: False-12] PASSED [ 52%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_forecast_seasonal_alignment[type: dataframe, exponential: True-4] PASSED [ 52%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_forecast_seasonal_alignment[type: dataframe, exponential: True-12] PASSED [ 52%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_forecast_seasonal_alignment[type: dataframe, exponential: False-4] PASSED [ 52%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_forecast_seasonal_alignment[type: dataframe, exponential: False-12] PASSED [ 52%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_forecast_seasonal_alignment[type: series, exponential: True-4] PASSED [ 52%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_forecast_seasonal_alignment[type: series, exponential: True-12] PASSED [ 52%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_forecast_seasonal_alignment[type: series, exponential: False-4] PASSED [ 52%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_forecast_seasonal_alignment[type: series, exponential: False-12] PASSED [ 52%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::TestHoltWinters::test_predict PASSED [ 52%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::TestHoltWinters::test_ndarray PASSED [ 52%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::TestHoltWinters::test_forecast XFAIL [ 52%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::TestHoltWinters::test_simple_exp_smoothing PASSED [ 52%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::TestHoltWinters::test_holt PASSED [ 52%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::TestHoltWinters::test_holt_damp_fit PASSED [ 52%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::TestHoltWinters::test_holt_damp_r PASSED [ 52%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::TestHoltWinters::test_hw_seasonal PASSED [ 52%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::TestHoltWinters::test_hw_seasonal_add_mul PASSED [ 52%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::TestHoltWinters::test_hw_seasonal_buggy PASSED [ 52%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_negative_multipliative[trend_seasonal0] PASSED [ 52%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_negative_multipliative[trend_seasonal1] PASSED [ 52%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_negative_multipliative[trend_seasonal2] PASSED [ 52%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_dampen_no_trend[add] PASSED [ 52%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_dampen_no_trend[mul] PASSED [ 52%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_dampen_no_trend[None] PASSED [ 52%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_invalid_seasonal[add] PASSED [ 52%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_invalid_seasonal[mul] PASSED [ 52%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_2d_data PASSED [ 52%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_infer_freq PASSED [ 52%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_start_params[add-add] PASSED [ 52%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_start_params[add-mul] PASSED [ 52%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_start_params[add-None] PASSED [ 52%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_start_params[mul-add] PASSED [ 52%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_start_params[mul-mul] PASSED [ 52%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_start_params[mul-None] PASSED [ 52%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_start_params[None-add] PASSED [ 52%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_start_params[None-mul] PASSED [ 52%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_start_params[None-None] PASSED [ 52%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_no_params_to_optimize PASSED [ 52%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_invalid_start_param_length PASSED [ 52%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_basin_hopping PASSED [ 52%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_debiased PASSED [ 52%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_float_boxcox[add-add] PASSED [ 52%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_float_boxcox[add-mul] PASSED [ 52%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_float_boxcox[add-None] PASSED [ 52%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_float_boxcox[mul-add] PASSED [ 52%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_float_boxcox[mul-mul] PASSED [ 52%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_float_boxcox[mul-None] PASSED [ 52%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_float_boxcox[None-add] PASSED [ 52%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_float_boxcox[None-mul] PASSED [ 52%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_float_boxcox[None-None] PASSED [ 52%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_equivalence_cython_python[add-add] PASSED [ 52%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_equivalence_cython_python[add-mul] PASSED [ 52%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_equivalence_cython_python[add-None] PASSED [ 52%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_equivalence_cython_python[mul-add] PASSED [ 52%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_equivalence_cython_python[mul-mul] PASSED [ 52%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_equivalence_cython_python[mul-None] PASSED [ 52%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_equivalence_cython_python[None-add] PASSED [ 52%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_equivalence_cython_python[None-mul] PASSED [ 52%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_equivalence_cython_python[None-None] PASSED [ 52%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_direct_holt_add PASSED [ 52%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_integer_array PASSED [ 52%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_damping_trend_zero PASSED [ 52%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_different_inputs PASSED [ 52%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_simulate_expected_r[add-True-add-add] PASSED [ 52%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_simulate_expected_r[add-True-add-mul] PASSED [ 52%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_simulate_expected_r[add-True-add-None] PASSED [ 52%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_simulate_expected_r[add-True-mul-add] PASSED [ 52%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_summary_boxcox PASSED [ 53%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_boxcox_components PASSED [ 53%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_estimated_initialization_short_data[9-None-None] PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_estimated_initialization_short_data[9-None-add] PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_estimated_initialization_short_data[9-add-None] PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_estimated_initialization_short_data[9-add-add] PASSED [ 53%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_estimated_initialization_short_data[10-add-add] PASSED [ 53%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/innovations/tests/test_arma_innovations.py::test_innovations_algo_filter_kalman_filter[ar_params0-ma_params0-1] PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/innovations/tests/test_arma_innovations.py::test_innovations_algo_filter_kalman_filter[ar_params1-ma_params1-1] PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/innovations/tests/test_arma_innovations.py::test_innovations_algo_filter_kalman_filter[ar_params2-ma_params2-1] PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/innovations/tests/test_arma_innovations.py::test_innovations_algo_filter_kalman_filter[ar_params3-ma_params3-1] PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/innovations/tests/test_arma_innovations.py::test_innovations_algo_filter_kalman_filter[ar_params4-ma_params4-1.123] PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/innovations/tests/test_arma_innovations.py::test_innovations_algo_filter_kalman_filter[ar_params5-ma_params5-1.123] PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/innovations/tests/test_arma_innovations.py::test_innovations_nonstationary[ar_params0] PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/innovations/tests/test_arma_innovations.py::test_innovations_nonstationary[ar_params1] PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/innovations/tests/test_arma_innovations.py::test_innovations_nonstationary[ar_params2] PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/innovations/tests/test_cython_arma_innovations_fast.py::test_brockwell_davis_ex533 PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/innovations/tests/test_cython_arma_innovations_fast.py::test_brockwell_davis_ex534 PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/innovations/tests/test_cython_arma_innovations_fast.py::test_innovations_algo_filter_kalman_filter[ar_params0-ma_params0-1] PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/innovations/tests/test_cython_arma_innovations_fast.py::test_innovations_algo_filter_kalman_filter[ar_params1-ma_params1-1] PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/innovations/tests/test_cython_arma_innovations_fast.py::test_innovations_algo_filter_kalman_filter[ar_params2-ma_params2-1] PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/innovations/tests/test_cython_arma_innovations_fast.py::test_innovations_algo_filter_kalman_filter[ar_params3-ma_params3-1] PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/innovations/tests/test_cython_arma_innovations_fast.py::test_innovations_algo_filter_kalman_filter[ar_params4-ma_params4-1.123] PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/innovations/tests/test_cython_arma_innovations_fast.py::test_innovations_algo_filter_kalman_filter[ar_params5-ma_params5-1.123] PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/innovations/tests/test_cython_arma_innovations_fast.py::test_innovations_algo_direct_filter_kalman_filter[ar_params0-ma_params0-1] PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/innovations/tests/test_cython_arma_innovations_fast.py::test_innovations_algo_direct_filter_kalman_filter[ar_params1-ma_params1-1] PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/innovations/tests/test_cython_arma_innovations_fast.py::test_innovations_algo_direct_filter_kalman_filter[ar_params2-ma_params2-1] PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/innovations/tests/test_cython_arma_innovations_fast.py::test_innovations_algo_direct_filter_kalman_filter[ar_params3-ma_params3-1] PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/innovations/tests/test_cython_arma_innovations_fast.py::test_innovations_algo_direct_filter_kalman_filter[ar_params4-ma_params4-1.123] PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/innovations/tests/test_cython_arma_innovations_fast.py::test_innovations_algo_direct_filter_kalman_filter[ar_params5-ma_params5-1.123] PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/innovations/tests/test_cython_arma_innovations_fast.py::test_integrated_process[ar_params0-1-ma_params0-1] PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/innovations/tests/test_cython_arma_innovations_fast.py::test_integrated_process[ar_params1-1-ma_params1-1] PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/innovations/tests/test_cython_arma_innovations_fast.py::test_integrated_process[ar_params2-1-ma_params2-1] PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/innovations/tests/test_cython_arma_innovations_fast.py::test_integrated_process[ar_params3-1-ma_params3-1] PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/innovations/tests/test_cython_arma_innovations_fast.py::test_integrated_process[ar_params4-1-ma_params4-1.123] PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/innovations/tests/test_cython_arma_innovations_fast.py::test_integrated_process[ar_params5-1-ma_params5-1.123] PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/innovations/tests/test_cython_arma_innovations_fast.py::test_integrated_process[ar_params6-2-ma_params6-1.123] PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/innovations/tests/test_cython_arma_innovations_fast.py::test_regression_with_arma_errors[ar_params0-ma_params0-1] PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/innovations/tests/test_cython_arma_innovations_fast.py::test_regression_with_arma_errors[ar_params1-ma_params1-1] PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/innovations/tests/test_cython_arma_innovations_fast.py::test_regression_with_arma_errors[ar_params2-ma_params2-1] PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/innovations/tests/test_cython_arma_innovations_fast.py::test_regression_with_arma_errors[ar_params3-ma_params3-1] PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/innovations/tests/test_cython_arma_innovations_fast.py::test_regression_with_arma_errors[ar_params4-ma_params4-1.123] PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/innovations/tests/test_cython_arma_innovations_fast.py::test_regression_with_arma_errors[ar_params5-ma_params5-1.123] PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/interp/tests/test_denton.py::test_denton_quarterly PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/interp/tests/test_denton.py::test_denton_quarterly2 PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::test_predict PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::test_conditional_loglikelihoods PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR2Short::test_llf PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR2Short::test_fit PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR2Short::test_fit_em PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR2Short::test_filter_output PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR2Short::test_smoother_output PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR4::test_llf PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR4::test_fit PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR4::test_fit_em PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR4::test_filtered_regimes PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR4::test_smoothed_regimes PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR4::test_bse PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR2Switch::test_llf PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR2Switch::test_fit PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR2Switch::test_fit_em PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR2Switch::test_smoothed_marginal_probabilities PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR2Switch::test_predict PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR2Switch::test_bse PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR1Switch::test_llf PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR1Switch::test_fit PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR1Switch::test_fit_em PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR1Switch::test_filtered_regimes PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR1Switch::test_smoothed_regimes PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR1Switch::test_expected_durations PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR1SwitchTVTP::test_llf PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR1SwitchTVTP::test_fit PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR1SwitchTVTP::test_fit_em SKIPPED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR1SwitchTVTP::test_filtered_regimes PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR1SwitchTVTP::test_smoothed_regimes PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR1SwitchTVTP::test_expected_durations PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestFilardo::test_llf PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestFilardo::test_fit SKIPPED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestFilardo::test_fit_em SKIPPED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestFilardo::test_filtered_regimes PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestFilardo::test_smoothed_regimes PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestFilardo::test_expected_durations PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestFilardoPandas::test_llf PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestFilardoPandas::test_fit SKIPPED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestFilardoPandas::test_fit_em SKIPPED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestFilardoPandas::test_filtered_regimes PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestFilardoPandas::test_smoothed_regimes PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestFilardoPandas::test_expected_durations PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConst::test_summary PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConst::test_llf PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConst::test_fit PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConst::test_fit_em PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConst::test_filter_output PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConst::test_smoothed_marginal_probabilities PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConst::test_predict PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConst::test_bse PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConstShort::test_summary PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConstShort::test_llf PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConstShort::test_fit PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConstShort::test_fit_em PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConstShort::test_filter_output PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConstShort::test_smoother_output PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConstShort::test_hamilton_filter_order_zero PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConstShort::test_hamilton_filter_order_zero_with_tvtp PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConstShort::test_hamilton_filter_shape_checks PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConstL1::test_summary PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConstL1::test_llf PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConstL1::test_fit PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConstL1::test_fit_em PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConstL1::test_bse PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConstL1Exog::test_summary PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConstL1Exog::test_llf PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConstL1Exog::test_fit_em PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConstL1Exog::test_fit PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConstL1Exog::test_predict PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConstL1Exog::test_bse PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConstL1Exog3::test_summary PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConstL1Exog3::test_llf PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConstL1Exog3::test_fit_em PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConstL1Exog3::test_fit PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestAreturnsConstL1Variance::test_summary PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestAreturnsConstL1Variance::test_llf PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestAreturnsConstL1Variance::test_fit_em PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestAreturnsConstL1Variance::test_fit PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestAreturnsConstL1Variance::test_bse PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestMumpspcNoconstL1Variance::test_summary PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestMumpspcNoconstL1Variance::test_llf PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestMumpspcNoconstL1Variance::test_fit PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestMumpspcNoconstL1Variance::test_fit_em PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::test_avoid_underflow PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::test_exog_tvtp PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_switching.py::test_params PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_switching.py::test_init_endog PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_switching.py::test_init_exog_tvtp PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_switching.py::test_transition_matrix PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_switching.py::test_initial_probabilities PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_switching.py::test_logistic PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_switching.py::test_partials_logistic PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_cfa_simulation_smoothing.py::TestDFM::test_posterior_mean PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_cfa_simulation_smoothing.py::TestDFM::test_posterior_cov PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_cfa_simulation_smoothing.py::TestDFMComplex::test_posterior_mean PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_cfa_simulation_smoothing.py::TestDFMComplex::test_posterior_cov PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_cfa_simulation_smoothing.py::TestDFMAllMissing::test_posterior_mean PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_cfa_simulation_smoothing.py::TestDFMAllMissing::test_posterior_cov PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_cfa_simulation_smoothing.py::TestDFMPartialMissing::test_posterior_mean PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_cfa_simulation_smoothing.py::TestDFMPartialMissing::test_posterior_cov PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_cfa_simulation_smoothing.py::TestDFMMixedMissing::test_posterior_mean PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_cfa_simulation_smoothing.py::TestDFMMixedMissing::test_posterior_cov PASSED [ 53%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_cfa_simulation_smoothing.py::TestVARME::test_posterior_mean PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_cfa_simulation_smoothing.py::TestVARME::test_posterior_cov PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_cfa_simulation_smoothing.py::TestVARMEAllMissing::test_posterior_mean PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_cfa_simulation_smoothing.py::TestVARMEAllMissing::test_posterior_cov PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_cfa_simulation_smoothing.py::TestVARMEPartialMissing::test_posterior_mean PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_cfa_simulation_smoothing.py::TestVARMEPartialMissing::test_posterior_cov PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_cfa_simulation_smoothing.py::TestVARMEMixedMissing::test_posterior_mean PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_cfa_simulation_smoothing.py::TestVARMEMixedMissing::test_posterior_cov PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_cfa_simulation_smoothing.py::TestSARIMAXME::test_posterior_mean PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_cfa_simulation_smoothing.py::TestSARIMAXME::test_posterior_cov PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_cfa_simulation_smoothing.py::TestSARIMAXMEMissing::test_posterior_mean PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_cfa_simulation_smoothing.py::TestSARIMAXMEMissing::test_posterior_cov PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_cfa_simulation_smoothing.py::TestUnobservedComponents::test_posterior_mean PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_cfa_simulation_smoothing.py::TestUnobservedComponents::test_posterior_cov PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_cfa_simulation_smoothing.py::TestUnobservedComponentsMissing::test_posterior_mean PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_cfa_simulation_smoothing.py::TestUnobservedComponentsMissing::test_posterior_cov PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_cfa_simulation_smoothing.py::test_dfm PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_cfa_tvpvar.py::test_tvpvar PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_chandrasekhar.py::test_chandrasekhar_conventional PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_chandrasekhar.py::test_chandrasekhar_univariate PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_chandrasekhar.py::test_invalid PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventional::test_using_collapsed PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventional::test_forecasts PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventional::test_forecasts_error PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventional::test_forecasts_error_cov PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventional::test_filtered_state PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventional::test_filtered_state_cov PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventional::test_predicted_state PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventional::test_predicted_state_cov PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventional::test_loglike PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventional::test_smoothed_states PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventional::test_smoothed_states_cov PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventional::test_smoothed_states_autocov PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventional::test_smoothed_measurement_disturbance SKIPPED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventional::test_smoothed_measurement_disturbance_cov SKIPPED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventional::test_smoothed_state_disturbance PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventional::test_smoothed_state_disturbance_cov PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventional::test_simulation_smoothed_state PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventional::test_simulation_smoothed_measurement_disturbance PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventional::test_simulation_smoothed_state_disturbance PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAlternate::test_using_collapsed PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAlternate::test_forecasts PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAlternate::test_forecasts_error PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAlternate::test_forecasts_error_cov PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAlternate::test_filtered_state PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAlternate::test_filtered_state_cov PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAlternate::test_predicted_state PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAlternate::test_predicted_state_cov PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAlternate::test_loglike PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAlternate::test_smoothed_states PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAlternate::test_smoothed_states_cov PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAlternate::test_smoothed_states_autocov PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAlternate::test_smoothed_measurement_disturbance SKIPPED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAlternate::test_smoothed_measurement_disturbance_cov SKIPPED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAlternate::test_smoothed_state_disturbance PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAlternate::test_smoothed_state_disturbance_cov PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAlternate::test_simulation_smoothed_state PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAlternate::test_simulation_smoothed_measurement_disturbance PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAlternate::test_simulation_smoothed_state_disturbance PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAlternate::test_using_alterate PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissing::test_using_collapsed PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissing::test_forecasts PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissing::test_forecasts_error PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissing::test_forecasts_error_cov PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissing::test_filtered_state PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissing::test_filtered_state_cov PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissing::test_predicted_state PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissing::test_predicted_state_cov PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissing::test_loglike PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissing::test_smoothed_states PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissing::test_smoothed_states_cov PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissing::test_smoothed_states_autocov PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissing::test_smoothed_measurement_disturbance SKIPPED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissing::test_smoothed_measurement_disturbance_cov SKIPPED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissing::test_smoothed_state_disturbance PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissing::test_smoothed_state_disturbance_cov PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissing::test_simulation_smoothed_state PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissing::test_simulation_smoothed_measurement_disturbance PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissing::test_simulation_smoothed_state_disturbance PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissingAlternate::test_using_collapsed PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissingAlternate::test_forecasts PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissingAlternate::test_forecasts_error PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissingAlternate::test_forecasts_error_cov PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissingAlternate::test_filtered_state PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissingAlternate::test_filtered_state_cov PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissingAlternate::test_predicted_state PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissingAlternate::test_predicted_state_cov PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissingAlternate::test_loglike PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissingAlternate::test_smoothed_states PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissingAlternate::test_smoothed_states_cov PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissingAlternate::test_smoothed_states_autocov PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissingAlternate::test_smoothed_measurement_disturbance SKIPPED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissingAlternate::test_smoothed_measurement_disturbance_cov SKIPPED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissingAlternate::test_smoothed_state_disturbance PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissingAlternate::test_smoothed_state_disturbance_cov PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissingAlternate::test_simulation_smoothed_state PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissingAlternate::test_simulation_smoothed_measurement_disturbance PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissingAlternate::test_simulation_smoothed_state_disturbance PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissingAlternate::test_using_alterate PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissing::test_using_collapsed PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissing::test_forecasts PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissing::test_forecasts_error PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissing::test_forecasts_error_cov PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissing::test_filtered_state PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissing::test_filtered_state_cov PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissing::test_predicted_state PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissing::test_predicted_state_cov PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissing::test_loglike PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissing::test_smoothed_states PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissing::test_smoothed_states_cov PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissing::test_smoothed_states_autocov PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissing::test_smoothed_measurement_disturbance SKIPPED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissing::test_smoothed_measurement_disturbance_cov SKIPPED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissing::test_smoothed_state_disturbance PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissing::test_smoothed_state_disturbance_cov PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissing::test_simulation_smoothed_state PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissing::test_simulation_smoothed_measurement_disturbance PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissing::test_simulation_smoothed_state_disturbance PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissingAlternate::test_using_collapsed PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissingAlternate::test_forecasts PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissingAlternate::test_forecasts_error PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissingAlternate::test_forecasts_error_cov PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissingAlternate::test_filtered_state PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissingAlternate::test_filtered_state_cov PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissingAlternate::test_predicted_state PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissingAlternate::test_predicted_state_cov PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissingAlternate::test_loglike PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissingAlternate::test_smoothed_states PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissingAlternate::test_smoothed_states_cov PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissingAlternate::test_smoothed_states_autocov PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissingAlternate::test_smoothed_measurement_disturbance SKIPPED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissingAlternate::test_smoothed_measurement_disturbance_cov SKIPPED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissingAlternate::test_smoothed_state_disturbance PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissingAlternate::test_smoothed_state_disturbance_cov PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissingAlternate::test_simulation_smoothed_state PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissingAlternate::test_simulation_smoothed_measurement_disturbance PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissingAlternate::test_simulation_smoothed_state_disturbance PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissingAlternate::test_using_alterate PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariate::test_using_collapsed PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariate::test_forecasts PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariate::test_forecasts_error PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariate::test_forecasts_error_cov PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariate::test_filtered_state PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariate::test_filtered_state_cov PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariate::test_predicted_state PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariate::test_predicted_state_cov PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariate::test_loglike PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariate::test_smoothed_states PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariate::test_smoothed_states_cov PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariate::test_smoothed_states_autocov PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariate::test_smoothed_measurement_disturbance SKIPPED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariate::test_smoothed_measurement_disturbance_cov SKIPPED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariate::test_smoothed_state_disturbance PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariate::test_smoothed_state_disturbance_cov PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariate::test_simulation_smoothed_state PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariate::test_simulation_smoothed_measurement_disturbance PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariate::test_simulation_smoothed_state_disturbance PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAlternate::test_using_collapsed PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAlternate::test_forecasts PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAlternate::test_forecasts_error PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAlternate::test_forecasts_error_cov PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAlternate::test_filtered_state PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAlternate::test_filtered_state_cov PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAlternate::test_predicted_state PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAlternate::test_predicted_state_cov PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAlternate::test_loglike PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAlternate::test_smoothed_states PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAlternate::test_smoothed_states_cov PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAlternate::test_smoothed_states_autocov PASSED [ 54%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAlternate::test_smoothed_measurement_disturbance SKIPPED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAlternate::test_smoothed_measurement_disturbance_cov SKIPPED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAlternate::test_smoothed_state_disturbance PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAlternate::test_smoothed_state_disturbance_cov PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAlternate::test_simulation_smoothed_state PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAlternate::test_simulation_smoothed_measurement_disturbance PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAlternate::test_simulation_smoothed_state_disturbance PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAlternate::test_using_alterate PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissing::test_using_collapsed PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissing::test_forecasts PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissing::test_forecasts_error PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissing::test_forecasts_error_cov PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissing::test_filtered_state PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissing::test_filtered_state_cov PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissing::test_predicted_state PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissing::test_predicted_state_cov PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissing::test_loglike PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissing::test_smoothed_states PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissing::test_smoothed_states_cov PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissing::test_smoothed_states_autocov PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissing::test_smoothed_measurement_disturbance SKIPPED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissing::test_smoothed_measurement_disturbance_cov SKIPPED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissing::test_smoothed_state_disturbance PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissing::test_smoothed_state_disturbance_cov PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissing::test_simulation_smoothed_state PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissing::test_simulation_smoothed_measurement_disturbance PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissing::test_simulation_smoothed_state_disturbance PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissingAlternate::test_using_collapsed PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissingAlternate::test_forecasts PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissingAlternate::test_forecasts_error PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissingAlternate::test_forecasts_error_cov PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissingAlternate::test_filtered_state PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissingAlternate::test_filtered_state_cov PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissingAlternate::test_predicted_state PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissingAlternate::test_predicted_state_cov PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissingAlternate::test_loglike PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissingAlternate::test_smoothed_states PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissingAlternate::test_smoothed_states_cov PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissingAlternate::test_smoothed_states_autocov PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissingAlternate::test_smoothed_measurement_disturbance SKIPPED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissingAlternate::test_smoothed_measurement_disturbance_cov SKIPPED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissingAlternate::test_smoothed_state_disturbance PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissingAlternate::test_smoothed_state_disturbance_cov PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissingAlternate::test_simulation_smoothed_state PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissingAlternate::test_simulation_smoothed_measurement_disturbance PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissingAlternate::test_simulation_smoothed_state_disturbance PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissingAlternate::test_using_alterate PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissing::test_using_collapsed PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissing::test_forecasts PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissing::test_forecasts_error PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissing::test_forecasts_error_cov PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissing::test_filtered_state PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissing::test_filtered_state_cov PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissing::test_predicted_state PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissing::test_predicted_state_cov PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissing::test_loglike PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissing::test_smoothed_states PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissing::test_smoothed_states_cov PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissing::test_smoothed_states_autocov PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissing::test_smoothed_measurement_disturbance SKIPPED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissing::test_smoothed_measurement_disturbance_cov SKIPPED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissing::test_smoothed_state_disturbance PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissing::test_smoothed_state_disturbance_cov PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissing::test_simulation_smoothed_state PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissing::test_simulation_smoothed_measurement_disturbance PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissing::test_simulation_smoothed_state_disturbance PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissingAlternate::test_using_collapsed PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissingAlternate::test_forecasts PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissingAlternate::test_forecasts_error PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissingAlternate::test_forecasts_error_cov PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissingAlternate::test_filtered_state PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissingAlternate::test_filtered_state_cov PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissingAlternate::test_predicted_state PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissingAlternate::test_predicted_state_cov PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissingAlternate::test_loglike PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissingAlternate::test_smoothed_states PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissingAlternate::test_smoothed_states_cov PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissingAlternate::test_smoothed_states_autocov PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissingAlternate::test_smoothed_measurement_disturbance SKIPPED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissingAlternate::test_smoothed_measurement_disturbance_cov SKIPPED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissingAlternate::test_smoothed_state_disturbance PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissingAlternate::test_smoothed_state_disturbance_cov PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissingAlternate::test_simulation_smoothed_state PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissingAlternate::test_simulation_smoothed_measurement_disturbance PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissingAlternate::test_simulation_smoothed_state_disturbance PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissingAlternate::test_using_alterate PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFM::test_using_collapsed PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFM::test_forecasts PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFM::test_forecasts_error PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFM::test_forecasts_error_cov PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFM::test_filtered_state PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFM::test_filtered_state_cov PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFM::test_predicted_state PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFM::test_predicted_state_cov PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFM::test_loglike PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFM::test_smoothed_states PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFM::test_smoothed_states_cov PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFM::test_smoothed_states_autocov PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFM::test_smoothed_measurement_disturbance SKIPPED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFM::test_smoothed_measurement_disturbance_cov SKIPPED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFM::test_smoothed_state_disturbance PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFM::test_smoothed_state_disturbance_cov PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFM::test_simulation_smoothed_state PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFM::test_simulation_smoothed_measurement_disturbance SKIPPED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFM::test_simulation_smoothed_state_disturbance PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMClassicalSmoothing::test_using_collapsed PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMClassicalSmoothing::test_forecasts PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMClassicalSmoothing::test_forecasts_error PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMClassicalSmoothing::test_forecasts_error_cov PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMClassicalSmoothing::test_filtered_state PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMClassicalSmoothing::test_filtered_state_cov PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMClassicalSmoothing::test_predicted_state PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMClassicalSmoothing::test_predicted_state_cov PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMClassicalSmoothing::test_loglike PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMClassicalSmoothing::test_smoothed_states PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMClassicalSmoothing::test_smoothed_states_cov PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMClassicalSmoothing::test_smoothed_states_autocov PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMClassicalSmoothing::test_smoothed_measurement_disturbance SKIPPED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMClassicalSmoothing::test_smoothed_measurement_disturbance_cov SKIPPED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMClassicalSmoothing::test_smoothed_state_disturbance PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMClassicalSmoothing::test_smoothed_state_disturbance_cov PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMClassicalSmoothing::test_simulation_smoothed_state PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMClassicalSmoothing::test_simulation_smoothed_measurement_disturbance SKIPPED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMClassicalSmoothing::test_simulation_smoothed_state_disturbance PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMClassicalSmoothing::test_smooth_method PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMUnivariateSmoothing::test_using_collapsed PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMUnivariateSmoothing::test_forecasts PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMUnivariateSmoothing::test_forecasts_error PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMUnivariateSmoothing::test_forecasts_error_cov PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMUnivariateSmoothing::test_filtered_state PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMUnivariateSmoothing::test_filtered_state_cov PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMUnivariateSmoothing::test_predicted_state PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMUnivariateSmoothing::test_predicted_state_cov PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMUnivariateSmoothing::test_loglike PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMUnivariateSmoothing::test_smoothed_states PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMUnivariateSmoothing::test_smoothed_states_cov PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMUnivariateSmoothing::test_smoothed_states_autocov PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMUnivariateSmoothing::test_smoothed_measurement_disturbance SKIPPED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMUnivariateSmoothing::test_smoothed_measurement_disturbance_cov SKIPPED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMUnivariateSmoothing::test_smoothed_state_disturbance PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMUnivariateSmoothing::test_smoothed_state_disturbance_cov PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMUnivariateSmoothing::test_simulation_smoothed_state PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMUnivariateSmoothing::test_simulation_smoothed_measurement_disturbance SKIPPED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMUnivariateSmoothing::test_simulation_smoothed_state_disturbance PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMUnivariateSmoothing::test_smooth_method PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMAlternativeSmoothing::test_using_collapsed PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMAlternativeSmoothing::test_forecasts PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMAlternativeSmoothing::test_forecasts_error PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMAlternativeSmoothing::test_forecasts_error_cov PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMAlternativeSmoothing::test_filtered_state PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMAlternativeSmoothing::test_filtered_state_cov PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMAlternativeSmoothing::test_predicted_state PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMAlternativeSmoothing::test_predicted_state_cov PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMAlternativeSmoothing::test_loglike PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMAlternativeSmoothing::test_smoothed_states PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMAlternativeSmoothing::test_smoothed_states_cov PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMAlternativeSmoothing::test_smoothed_states_autocov PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMAlternativeSmoothing::test_smoothed_measurement_disturbance SKIPPED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMAlternativeSmoothing::test_smoothed_measurement_disturbance_cov SKIPPED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMAlternativeSmoothing::test_smoothed_state_disturbance PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMAlternativeSmoothing::test_smoothed_state_disturbance_cov PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMAlternativeSmoothing::test_simulation_smoothed_state PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMAlternativeSmoothing::test_simulation_smoothed_measurement_disturbance SKIPPED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMAlternativeSmoothing::test_simulation_smoothed_state_disturbance PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMAlternativeSmoothing::test_smooth_method PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMMeasurementDisturbance::test_using_collapsed PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMMeasurementDisturbance::test_forecasts PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMMeasurementDisturbance::test_forecasts_error PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMMeasurementDisturbance::test_forecasts_error_cov PASSED [ 55%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMMeasurementDisturbance::test_filtered_state PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMMeasurementDisturbance::test_filtered_state_cov PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMMeasurementDisturbance::test_predicted_state PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMMeasurementDisturbance::test_predicted_state_cov PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMMeasurementDisturbance::test_loglike PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMMeasurementDisturbance::test_smoothed_states PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMMeasurementDisturbance::test_smoothed_states_cov PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMMeasurementDisturbance::test_smoothed_states_autocov PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMMeasurementDisturbance::test_smoothed_measurement_disturbance_cov SKIPPED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMMeasurementDisturbance::test_smoothed_state_disturbance_cov PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMMeasurementDisturbance::test_simulation_smoothed_state PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMMeasurementDisturbance::test_smoothed_state_disturbance PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMMeasurementDisturbance::test_smoothed_measurement_disturbance PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMMeasurementDisturbance::test_simulation_smoothed_measurement_disturbance PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMMeasurementDisturbance::test_simulation_smoothed_state_disturbance PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::test_dfm_missing PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_concentrated.py::test_concentrated_loglike_sarimax PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_concentrated.py::test_concentrated_predict_sarimax PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_concentrated.py::test_fixed_scale_sarimax PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_concentrated.py::test_concentrated_scale_conventional PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_concentrated.py::test_concentrated_scale_univariate PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood[True-True-True-True] PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood[True-True-True-False] PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood[True-True-False-True] PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood[True-True-False-False] PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood[True-False-True-True] PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood[True-False-True-False] PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood[True-False-False-True] PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood[True-False-False-False] PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood[False-True-True-True] PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood[False-True-True-False] PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood[False-True-False-True] PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood[False-True-False-False] PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood[False-False-True-True] PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood[False-False-True-False] PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood[False-False-False-True] PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood[False-False-False-False] PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_extras[True-True-True-True] PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_extras[True-True-True-False] PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_extras[True-True-False-True] PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_extras[True-True-False-False] PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_extras[True-False-True-True] PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_extras[True-False-True-False] PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_extras[True-False-False-True] PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_extras[True-False-False-False] PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_extras[False-True-True-True] PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_extras[False-True-True-False] PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_extras[False-True-False-True] PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_extras[False-True-False-False] PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_extras[False-False-True-True] PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_extras[False-False-True-False] PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_extras[False-False-False-True] PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_extras[False-False-False-False] PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_multivariate[True-True] PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_multivariate[True-False] PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_multivariate[False-True] PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_multivariate[False-False] PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_multivariate_extra[True-True-True] PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_multivariate_extra[True-True-False] PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_multivariate_extra[True-False-True] PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_multivariate_extra[True-False-False] PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_multivariate_extra[False-True-True] PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_multivariate_extra[False-True-False] PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_multivariate_extra[False-False-True] PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_multivariate_extra[False-False-False] PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_fit PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_low_memory_filter PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_low_memory_fit PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_fittedvalues_resid_predict[510] PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_fittedvalues_resid_predict[2] PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_get_prediction_memory_conserve PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_invalid_fittedvalues_resid_predict PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor::test_params PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor::test_results PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor::test_plot_coefficients_of_determination PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor::test_no_enforce PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor::test_mle PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor::test_loglike PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor::test_aic PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor::test_bic PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor::test_predict PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor::test_dynamic_predict PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor::test_bse_approx PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor2::test_params PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor2::test_results PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor2::test_plot_coefficients_of_determination PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor2::test_no_enforce PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor2::test_loglike PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor2::test_predict PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor2::test_dynamic_predict PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor2::test_mle PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor2::test_bse PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor2::test_aic PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor2::test_bic PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor2::test_summary PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_exog1::test_params PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_exog1::test_results PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_exog1::test_plot_coefficients_of_determination PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_exog1::test_no_enforce PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_exog1::test_mle PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_exog1::test_loglike PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_exog1::test_aic PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_exog1::test_bic PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_exog1::test_predict PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_exog1::test_dynamic_predict PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_exog1::test_bse_approx PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_exog2::test_params PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_exog2::test_results PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_exog2::test_plot_coefficients_of_determination PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_exog2::test_no_enforce PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_exog2::test_mle PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_exog2::test_loglike PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_exog2::test_aic PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_exog2::test_bic PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_exog2::test_bse_approx PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_exog2::test_predict PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_exog2::test_dynamic_predict PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_exog2::test_summary PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_general_errors::test_params PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_general_errors::test_results PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_general_errors::test_plot_coefficients_of_determination PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_general_errors::test_no_enforce PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_general_errors::test_loglike PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_general_errors::test_aic PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_general_errors::test_bic PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_general_errors::test_predict PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_general_errors::test_dynamic_predict PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_general_errors::test_bse_approx PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_general_errors::test_mle SKIPPED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_general_errors::test_summary PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_ar2_errors::test_params PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_ar2_errors::test_results PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_ar2_errors::test_plot_coefficients_of_determination PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_ar2_errors::test_no_enforce PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_ar2_errors::test_loglike PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_ar2_errors::test_aic PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_ar2_errors::test_bic PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_ar2_errors::test_predict PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_ar2_errors::test_dynamic_predict PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_ar2_errors::test_bse_approx PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_ar2_errors::test_mle FAILED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_scalar_error::test_params PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_scalar_error::test_results PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_scalar_error::test_plot_coefficients_of_determination PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_scalar_error::test_no_enforce PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_scalar_error::test_mle PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_scalar_error::test_loglike PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_scalar_error::test_aic PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_scalar_error::test_bic PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_scalar_error::test_bse_approx PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_scalar_error::test_predict PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_scalar_error::test_dynamic_predict PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestStaticFactor::test_params PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestStaticFactor::test_results PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestStaticFactor::test_plot_coefficients_of_determination PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestStaticFactor::test_no_enforce PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestStaticFactor::test_mle PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestStaticFactor::test_loglike PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestStaticFactor::test_aic PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestStaticFactor::test_predict PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestStaticFactor::test_dynamic_predict PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestStaticFactor::test_bse_approx PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestStaticFactor::test_bic PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestSUR::test_params PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestSUR::test_results PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestSUR::test_plot_coefficients_of_determination PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestSUR::test_no_enforce PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestSUR::test_mle PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestSUR::test_loglike PASSED [ 56%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestSUR::test_aic PASSED [ 57%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestSUR::test_bic PASSED [ 57%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestSUR::test_bse_approx PASSED [ 57%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestSUR::test_predict PASSED [ 57%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestSUR::test_dynamic_predict PASSED [ 57%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestSUR_autocorrelated_errors::test_params PASSED [ 57%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestSUR_autocorrelated_errors::test_results PASSED [ 57%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestSUR_autocorrelated_errors::test_plot_coefficients_of_determination PASSED [ 57%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_emstep_methods_missing[1-1-1-False] PASSED [ 57%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_emstep_methods_missing[3-1-1-False] PASSED [ 57%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_emstep_methods_missing[1-6-1-False] PASSED [ 57%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_emstep_methods_missing[3-6-1-False] PASSED [ 57%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_emstep_methods_missing[k_factors8-factor_orders8-1-True] PASSED [ 57%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_emstep_methods_missing[k_factors9-factor_orders9-1-False] PASSED [ 57%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_emstep_methods_missing[k_factors10-factor_orders10-factor_multiplicities10-True] PASSED [ 57%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_emstep_methods_missing[k_factors11-factor_orders11-factor_multiplicities11-False] PASSED [ 57%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_emstep_methods_nonmissing[1-1-1-True] PASSED [ 57%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_emstep_methods_nonmissing[3-1-1-True] PASSED [ 57%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_emstep_methods_nonmissing[1-6-1-True] PASSED [ 57%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_emstep_methods_nonmissing[3-factor_orders3-1-True] PASSED [ 57%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_emstep_methods_nonmissing[1-1-1-False] PASSED [ 57%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_emstep_methods_nonmissing[3-1-1-False] PASSED [ 57%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_emstep_methods_nonmissing[1-6-1-False] PASSED [ 57%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_emstep_methods_nonmissing[3-factor_orders7-1-False] PASSED [ 57%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_emstep_methods_nonmissing[k_factors8-factor_orders8-1-True] PASSED [ 57%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_emstep_methods_nonmissing[k_factors9-factor_orders9-1-False] PASSED [ 57%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_emstep_methods_nonmissing[k_factors10-factor_orders10-factor_multiplicities10-True] PASSED [ 57%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_emstep_methods_nonmissing[k_factors11-factor_orders11-factor_multiplicities11-False] PASSED [ 57%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_news[news_112] PASSED [ 57%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_news[news_222] PASSED [ 57%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_monte_carlo.py::test_k_factor1 SKIPPED [ 57%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_monte_carlo.py::test_em_nonstationary PASSED [ 57%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_monte_carlo.py::test_two_blocks_factor_orders_6 SKIPPED [ 57%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_forecasts PASSED [ 57%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_forecasts_error PASSED [ 57%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_forecasts_error_cov PASSED [ 57%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_filtered_state PASSED [ 57%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_filtered_state_cov PASSED [ 57%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_predicted_state PASSED [ 57%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_predicted_state_cov PASSED [ 57%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_kalman_gain PASSED [ 57%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_loglike PASSED [ 57%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_smoothed_state PASSED [ 57%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_smoothed_state_cov PASSED [ 57%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_smoothed_state_autocov PASSED [ 57%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_smoothed_measurement_disturbance PASSED [ 57%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_smoothed_measurement_disturbance_cov PASSED [ 57%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_smoothed_state_disturbance PASSED [ 57%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_smoothed_state_disturbance_cov PASSED [ 57%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_smoothing_error SKIPPED [ 57%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_scaled_smoothed_estimator PASSED [ 57%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_scaled_smoothed_estimator_cov PASSED [ 57%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_forecasts_error_diffuse_cov PASSED [ 57%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_predicted_diffuse_state_cov PASSED [ 57%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_scaled_smoothed_diffuse_estimator PASSED [ 57%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_scaled_smoothed_diffuse1_estimator_cov PASSED [ 57%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_scaled_smoothed_diffuse2_estimator_cov PASSED [ 57%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_simulation_smoothed_state XFAIL [ 57%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_simulation_smoothed_measurement_disturbance XFAIL [ 57%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_simulation_smoothed_state_disturbance XFAIL [ 57%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_nobs_diffuse PASSED [ 57%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_initialization PASSED [ 57%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_initialization_approx PASSED [ 57%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_forecasts PASSED [ 57%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_forecasts_error PASSED [ 57%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_forecasts_error_cov PASSED [ 57%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_filtered_state PASSED [ 57%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_filtered_state_cov PASSED [ 57%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_predicted_state PASSED [ 57%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_predicted_state_cov PASSED [ 57%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_kalman_gain PASSED [ 57%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_loglike PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_smoothed_state PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_smoothed_state_cov PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_smoothed_state_autocov PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_smoothed_measurement_disturbance PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_smoothed_measurement_disturbance_cov PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_smoothed_state_disturbance PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_smoothed_state_disturbance_cov PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_smoothing_error SKIPPED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_scaled_smoothed_estimator PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_scaled_smoothed_estimator_cov PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_forecasts_error_diffuse_cov PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_predicted_diffuse_state_cov PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_scaled_smoothed_diffuse_estimator PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_scaled_smoothed_diffuse1_estimator_cov PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_scaled_smoothed_diffuse2_estimator_cov PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_simulation_smoothed_state XFAIL [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_simulation_smoothed_measurement_disturbance XFAIL [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_simulation_smoothed_state_disturbance XFAIL [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_nobs_diffuse PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_initialization PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_forecasts PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_forecasts_error PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_forecasts_error_cov PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_filtered_state PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_filtered_state_cov PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_predicted_state PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_predicted_state_cov PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_kalman_gain PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_loglike PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_smoothed_state PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_smoothed_state_cov PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_smoothed_state_autocov PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_smoothed_measurement_disturbance PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_smoothed_state_disturbance PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_smoothed_state_disturbance_cov PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_smoothing_error SKIPPED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_scaled_smoothed_estimator PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_scaled_smoothed_estimator_cov PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_forecasts_error_diffuse_cov PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_predicted_diffuse_state_cov PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_scaled_smoothed_diffuse_estimator PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_scaled_smoothed_diffuse1_estimator_cov PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_scaled_smoothed_diffuse2_estimator_cov PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_simulation_smoothed_state XFAIL [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_simulation_smoothed_measurement_disturbance XFAIL [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_simulation_smoothed_state_disturbance XFAIL [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_nobs_diffuse PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_initialization PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_initialization_approx PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_smoothed_measurement_disturbance_cov PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_forecasts PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_forecasts_error PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_forecasts_error_cov PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_filtered_state PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_filtered_state_cov PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_predicted_state PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_predicted_state_cov PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_kalman_gain PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_loglike PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_smoothed_state PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_smoothed_state_cov PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_smoothed_state_autocov PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_smoothed_measurement_disturbance PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_smoothed_measurement_disturbance_cov PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_smoothed_state_disturbance PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_smoothed_state_disturbance_cov PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_smoothing_error SKIPPED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_scaled_smoothed_estimator PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_scaled_smoothed_estimator_cov PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_forecasts_error_diffuse_cov PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_predicted_diffuse_state_cov PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_scaled_smoothed_diffuse_estimator PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_scaled_smoothed_diffuse1_estimator_cov PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_scaled_smoothed_diffuse2_estimator_cov PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_simulation_smoothed_state XFAIL [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_simulation_smoothed_measurement_disturbance XFAIL [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_simulation_smoothed_state_disturbance XFAIL [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_nobs_diffuse PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_initialization PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_forecasts PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_forecasts_error PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_forecasts_error_cov PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_filtered_state PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_filtered_state_cov PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_predicted_state PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_predicted_state_cov PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_kalman_gain PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_loglike PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_smoothed_state PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_smoothed_state_autocov PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_smoothed_measurement_disturbance PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_smoothed_measurement_disturbance_cov PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_smoothed_state_disturbance PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_smoothed_state_disturbance_cov PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_smoothing_error SKIPPED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_scaled_smoothed_estimator PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_scaled_smoothed_estimator_cov PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_forecasts_error_diffuse_cov PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_predicted_diffuse_state_cov PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_scaled_smoothed_diffuse_estimator PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_scaled_smoothed_diffuse1_estimator_cov PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_scaled_smoothed_diffuse2_estimator_cov PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_simulation_smoothed_state XFAIL [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_simulation_smoothed_measurement_disturbance XFAIL [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_simulation_smoothed_state_disturbance XFAIL [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_initialization PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_nobs_diffuse PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_initialization_approx PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_smoothed_state_cov PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_forecasts PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_forecasts_error PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_filtered_state PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_filtered_state_cov PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_predicted_state PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_predicted_state_cov PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_kalman_gain PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_loglike PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_smoothed_state PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_smoothed_state_cov PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_smoothed_state_autocov PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_smoothed_measurement_disturbance PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_smoothed_measurement_disturbance_cov PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_smoothed_state_disturbance PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_smoothed_state_disturbance_cov PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_smoothing_error SKIPPED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_scaled_smoothed_estimator PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_scaled_smoothed_estimator_cov PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_forecasts_error_diffuse_cov PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_predicted_diffuse_state_cov PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_scaled_smoothed_diffuse_estimator PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_scaled_smoothed_diffuse1_estimator_cov PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_scaled_smoothed_diffuse2_estimator_cov PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_simulation_smoothed_state XFAIL [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_simulation_smoothed_measurement_disturbance XFAIL [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_simulation_smoothed_state_disturbance XFAIL [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_initialization PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_nobs_diffuse PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_forecasts_error_cov PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_forecasts PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_forecasts_error PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_forecasts_error_cov PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_filtered_state PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_filtered_state_cov PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_predicted_state PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_predicted_state_cov PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_kalman_gain PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_loglike PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_smoothed_state PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_smoothed_state_cov PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_smoothed_state_autocov PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_smoothed_measurement_disturbance PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_smoothed_measurement_disturbance_cov PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_smoothed_state_disturbance PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_smoothed_state_disturbance_cov PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_smoothing_error SKIPPED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_scaled_smoothed_estimator PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_scaled_smoothed_estimator_cov PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_forecasts_error_diffuse_cov PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_predicted_diffuse_state_cov PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_scaled_smoothed_diffuse_estimator PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_scaled_smoothed_diffuse1_estimator_cov PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_scaled_smoothed_diffuse2_estimator_cov PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_simulation_smoothed_state XFAIL [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_simulation_smoothed_measurement_disturbance XFAIL [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_simulation_smoothed_state_disturbance XFAIL [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_nobs_diffuse PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_initialization PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_initialization_approx PASSED [ 58%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_forecasts PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_forecasts_error PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_forecasts_error_cov PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_filtered_state_cov PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_predicted_state_cov PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_kalman_gain PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_loglike PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_smoothed_state_cov PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_smoothed_state_autocov PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_smoothed_measurement_disturbance PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_smoothed_measurement_disturbance_cov PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_smoothed_state_disturbance PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_smoothed_state_disturbance_cov PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_smoothing_error SKIPPED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_scaled_smoothed_estimator PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_scaled_smoothed_estimator_cov PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_forecasts_error_diffuse_cov PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_predicted_diffuse_state_cov PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_scaled_smoothed_diffuse_estimator PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_scaled_smoothed_diffuse1_estimator_cov PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_scaled_smoothed_diffuse2_estimator_cov PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_simulation_smoothed_state XFAIL [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_simulation_smoothed_measurement_disturbance XFAIL [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_simulation_smoothed_state_disturbance XFAIL [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_nobs_diffuse PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_initialization PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_predicted_state PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_filtered_state PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_smoothed_state PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_forecasts PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_forecasts_error PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_forecasts_error_cov PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_filtered_state PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_filtered_state_cov PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_predicted_state PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_predicted_state_cov PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_kalman_gain PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_loglike PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_smoothed_state PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_smoothed_state_cov PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_smoothed_state_autocov PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_smoothed_measurement_disturbance PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_smoothed_measurement_disturbance_cov PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_smoothed_state_disturbance PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_smoothed_state_disturbance_cov PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_smoothing_error SKIPPED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_scaled_smoothed_estimator PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_scaled_smoothed_estimator_cov PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_forecasts_error_diffuse_cov PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_predicted_diffuse_state_cov PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_scaled_smoothed_diffuse_estimator PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_scaled_smoothed_diffuse1_estimator_cov PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_scaled_smoothed_diffuse2_estimator_cov PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_simulation_smoothed_state XFAIL [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_simulation_smoothed_measurement_disturbance XFAIL [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_simulation_smoothed_state_disturbance XFAIL [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_nobs_diffuse PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_initialization PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_initialization_approx PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_forecasts PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_forecasts_error PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_forecasts_error_cov PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_filtered_state_cov PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_predicted_state_cov PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_kalman_gain PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_loglike PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_smoothed_state_cov PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_smoothed_state_autocov PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_smoothed_measurement_disturbance PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_smoothed_measurement_disturbance_cov PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_smoothed_state_disturbance PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_smoothed_state_disturbance_cov PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_smoothing_error SKIPPED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_scaled_smoothed_estimator PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_scaled_smoothed_estimator_cov PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_forecasts_error_diffuse_cov PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_predicted_diffuse_state_cov PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_scaled_smoothed_diffuse_estimator PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_scaled_smoothed_diffuse1_estimator_cov PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_scaled_smoothed_diffuse2_estimator_cov PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_simulation_smoothed_state XFAIL [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_simulation_smoothed_measurement_disturbance XFAIL [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_simulation_smoothed_state_disturbance XFAIL [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_nobs_diffuse PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_initialization PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_predicted_state PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_filtered_state PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_smoothed_state PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_forecasts PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_forecasts_error PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_forecasts_error_cov PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_filtered_state PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_filtered_state_cov PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_predicted_state PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_predicted_state_cov PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_kalman_gain PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_loglike PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_smoothed_state PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_smoothed_state_cov PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_smoothed_state_autocov PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_smoothed_measurement_disturbance PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_smoothed_measurement_disturbance_cov PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_smoothed_state_disturbance PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_smoothed_state_disturbance_cov PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_smoothing_error SKIPPED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_scaled_smoothed_estimator PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_scaled_smoothed_estimator_cov PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_forecasts_error_diffuse_cov PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_predicted_diffuse_state_cov PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_scaled_smoothed_diffuse_estimator PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_scaled_smoothed_diffuse1_estimator_cov PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_scaled_smoothed_diffuse2_estimator_cov PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_simulation_smoothed_state XFAIL [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_simulation_smoothed_measurement_disturbance XFAIL [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_simulation_smoothed_state_disturbance XFAIL [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_nobs_diffuse PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_initialization PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_initialization_approx PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::test_irrelevant_state XFAIL [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::test_nondiagonal_obs_cov PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed02::test_fitted PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed02::test_output PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed02::test_forecasts PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed02::test_conf_int PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed02::test_initial_states PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed02::test_states PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed02::test_misc PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed06::test_fitted PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed06::test_output PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed06::test_forecasts PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed06::test_conf_int PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed06::test_initial_states PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed06::test_states PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed06::test_misc PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPEstimated::test_fitted PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPEstimated::test_output PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPEstimated::test_forecasts PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPEstimated::test_conf_int PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPEstimated::test_initial_states PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPEstimated::test_states PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPEstimated::test_misc PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESETSEstimated::test_fitted PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESETSEstimated::test_output PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESETSEstimated::test_forecasts PASSED [ 59%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESETSEstimated::test_conf_int PASSED [ 59%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltFPPFixed::test_fitted PASSED [ 59%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersFPPEstimated::test_states PASSED [ 60%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersDampedETSEstimated::test_output PASSED [ 60%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersDampedETSEstimated::test_forecasts PASSED [ 60%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersDampedETSEstimated::test_conf_int PASSED [ 60%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersDampedETSEstimated::test_initial_states PASSED [ 60%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersDampedETSEstimated::test_states PASSED [ 60%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersDampedETSEstimated::test_misc PASSED [ 60%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersDampedETSEstimated::test_mle_estimates PASSED [ 60%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersNoTrendETSEstimated::test_fitted PASSED [ 60%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersNoTrendETSEstimated::test_output PASSED [ 60%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersNoTrendETSEstimated::test_forecasts PASSED [ 60%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersNoTrendETSEstimated::test_misc PASSED [ 60%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersNoTrendETSEstimated::test_conf_int PASSED [ 60%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersNoTrendETSEstimated::test_mle_estimates PASSED [ 60%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESKnownInitialization::test_given_params PASSED [ 60%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESHeuristicInitialization::test_heuristic PASSED [ 60%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersHeuristicInitialization::test_heuristic PASSED [ 60%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::test_concentrated_initialization PASSED [ 60%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESConcentratedInitialization::test_given_params PASSED [ 60%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESConcentratedInitialization::test_estimated_params PASSED [ 60%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltConcentratedInitialization::test_given_params PASSED [ 60%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltConcentratedInitialization::test_estimated_params PASSED [ 60%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedConcentratedInitialization::test_estimated_params PASSED [ 60%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersConcentratedInitialization::test_given_params PASSED [ 60%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersConcentratedInitialization::test_estimated_params PASSED [ 60%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersDampedConcentratedInitialization::test_estimated_params PASSED [ 60%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersNoTrendConcentratedInitialization::test_given_params PASSED [ 60%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersNoTrendConcentratedInitialization::test_estimated_params PASSED [ 60%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[0-approximate_diffuse-None-True] PASSED [ 61%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[0-approximate_diffuse-None-False] PASSED [ 61%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[0-approximate_diffuse-init-True] PASSED [ 61%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[0-approximate_diffuse-init-False] PASSED [ 61%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[0-approximate_diffuse-mixed-True] PASSED [ 61%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[0-approximate_diffuse-mixed-False] PASSED [ 61%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[0-approximate_diffuse-all-True] PASSED [ 61%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[0-approximate_diffuse-all-False] PASSED [ 61%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods1-stationary-None-True] PASSED [ 61%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods1-stationary-None-False] PASSED [ 61%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods1-stationary-init-True] PASSED [ 61%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods1-stationary-init-False] PASSED [ 61%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods1-stationary-mixed-True] PASSED [ 61%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods1-stationary-mixed-False] PASSED [ 61%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods1-stationary-all-True] PASSED [ 61%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods1-stationary-all-False] PASSED [ 61%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods1-diffuse-None-True] PASSED [ 61%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods1-diffuse-None-False] PASSED [ 61%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods1-diffuse-init-True] PASSED [ 61%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods1-diffuse-init-False] PASSED [ 61%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods1-diffuse-mixed-True] PASSED [ 61%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods1-diffuse-mixed-False] PASSED [ 61%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods1-diffuse-all-True] PASSED [ 61%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods1-diffuse-all-False] PASSED [ 61%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods1-approximate_diffuse-None-True] PASSED [ 61%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods1-approximate_diffuse-None-False] PASSED [ 61%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods1-approximate_diffuse-init-True] PASSED [ 61%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods1-approximate_diffuse-init-False] PASSED [ 61%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods1-approximate_diffuse-mixed-True] PASSED [ 61%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods1-approximate_diffuse-mixed-False] PASSED [ 61%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods1-approximate_diffuse-all-True] PASSED [ 61%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods2-stationary-None-True] PASSED [ 61%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods2-stationary-None-False] PASSED [ 61%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods2-stationary-init-True] PASSED [ 61%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods2-stationary-init-False] PASSED [ 61%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods2-stationary-mixed-True] PASSED [ 61%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods2-stationary-mixed-False] PASSED [ 61%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods2-stationary-all-True] PASSED [ 61%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods2-stationary-all-False] PASSED [ 61%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods2-diffuse-None-True] PASSED [ 61%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods2-diffuse-None-False] PASSED [ 61%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods2-diffuse-init-True] PASSED [ 61%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods2-diffuse-init-False] PASSED [ 61%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods2-diffuse-mixed-True] PASSED [ 61%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods2-diffuse-mixed-False] PASSED [ 61%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods2-diffuse-all-True] PASSED [ 61%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods2-diffuse-all-False] PASSED [ 61%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods2-approximate_diffuse-None-True] PASSED [ 61%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods2-approximate_diffuse-None-False] PASSED [ 61%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods2-approximate_diffuse-init-True] PASSED [ 61%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods2-approximate_diffuse-init-False] PASSED [ 61%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods2-approximate_diffuse-mixed-True] PASSED [ 61%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods2-approximate_diffuse-mixed-False] PASSED [ 61%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods2-approximate_diffuse-all-True] PASSED [ 61%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods2-approximate_diffuse-all-False] PASSED [ 61%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-0-stationary-None-False] PASSED [ 61%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-0-stationary-init-True] PASSED [ 61%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-0-stationary-init-False] PASSED [ 61%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-0-stationary-mixed-True] PASSED [ 61%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-0-stationary-mixed-False] PASSED [ 61%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-0-diffuse-init-True] PASSED [ 61%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-0-diffuse-mixed-False] PASSED [ 61%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-0-diffuse-all-True] PASSED [ 61%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-0-approximate_diffuse-None-True] PASSED [ 61%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-0-approximate_diffuse-None-False] PASSED [ 61%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-0-approximate_diffuse-init-True] PASSED [ 61%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-0-approximate_diffuse-init-False] PASSED [ 61%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-0-approximate_diffuse-mixed-True] PASSED [ 61%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-0-approximate_diffuse-mixed-False] PASSED [ 61%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-0-approximate_diffuse-all-True] PASSED [ 61%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-0-approximate_diffuse-all-False] PASSED [ 61%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods1-stationary-None-True] PASSED [ 61%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods1-stationary-None-False] PASSED [ 61%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods1-stationary-init-True] PASSED [ 61%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods1-stationary-init-False] PASSED [ 61%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods1-stationary-mixed-True] PASSED [ 61%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods1-stationary-mixed-False] PASSED [ 61%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods1-stationary-all-True] PASSED [ 61%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods1-stationary-all-False] PASSED [ 61%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods1-diffuse-None-True] PASSED [ 61%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods1-diffuse-None-False] PASSED [ 61%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods1-diffuse-init-True] PASSED [ 61%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods1-diffuse-init-False] PASSED [ 61%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods1-diffuse-mixed-True] PASSED [ 61%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods1-diffuse-mixed-False] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods1-diffuse-all-True] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods1-diffuse-all-False] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods1-approximate_diffuse-None-True] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods1-approximate_diffuse-None-False] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods1-approximate_diffuse-init-True] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods1-approximate_diffuse-init-False] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods1-approximate_diffuse-mixed-True] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods1-approximate_diffuse-mixed-False] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods1-approximate_diffuse-all-True] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods1-approximate_diffuse-all-False] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods2-stationary-None-True] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods2-stationary-None-False] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods2-stationary-init-True] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods2-stationary-init-False] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods2-stationary-mixed-True] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods2-stationary-mixed-False] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods2-stationary-all-True] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods2-stationary-all-False] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods2-diffuse-None-True] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods2-diffuse-None-False] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods2-diffuse-init-True] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods2-diffuse-init-False] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods2-diffuse-mixed-True] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods2-diffuse-mixed-False] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods2-diffuse-all-True] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods2-diffuse-all-False] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods2-approximate_diffuse-None-True] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods2-approximate_diffuse-None-False] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods2-approximate_diffuse-init-True] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods2-approximate_diffuse-init-False] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods2-approximate_diffuse-mixed-True] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods2-approximate_diffuse-mixed-False] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods2-approximate_diffuse-all-True] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods2-approximate_diffuse-all-False] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-0-stationary-None-True] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-0-stationary-None-False] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-0-stationary-init-True] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-0-stationary-init-False] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-0-stationary-mixed-True] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-0-stationary-mixed-False] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-0-stationary-all-True] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-0-stationary-all-False] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-0-diffuse-None-True] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-0-diffuse-None-False] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-0-diffuse-init-True] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-0-diffuse-init-False] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-0-diffuse-mixed-True] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-0-diffuse-mixed-False] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-0-diffuse-all-True] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-0-diffuse-all-False] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-0-approximate_diffuse-None-True] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-0-approximate_diffuse-None-False] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-0-approximate_diffuse-init-True] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-0-approximate_diffuse-init-False] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-0-approximate_diffuse-mixed-True] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-0-approximate_diffuse-mixed-False] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-0-approximate_diffuse-all-True] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-0-approximate_diffuse-all-False] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods1-stationary-None-True] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods1-stationary-None-False] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods1-stationary-init-True] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods1-stationary-init-False] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods1-stationary-mixed-True] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods1-stationary-mixed-False] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods1-stationary-all-True] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods1-stationary-all-False] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods1-diffuse-None-True] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods1-diffuse-None-False] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods1-diffuse-init-True] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods1-diffuse-init-False] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods1-diffuse-mixed-True] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods1-diffuse-mixed-False] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods1-diffuse-all-True] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods1-diffuse-all-False] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods1-approximate_diffuse-None-True] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods1-approximate_diffuse-None-False] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods1-approximate_diffuse-init-True] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods1-approximate_diffuse-init-False] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods1-approximate_diffuse-mixed-True] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods1-approximate_diffuse-mixed-False] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods1-approximate_diffuse-all-True] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods1-approximate_diffuse-all-False] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods2-stationary-None-True] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods2-stationary-None-False] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods2-stationary-init-True] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods2-stationary-init-False] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods2-stationary-mixed-True] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods2-stationary-mixed-False] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods2-stationary-all-True] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods2-stationary-all-False] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods2-diffuse-None-True] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods2-diffuse-None-False] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods2-diffuse-init-True] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods2-diffuse-init-False] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods2-diffuse-mixed-True] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods2-diffuse-mixed-False] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods2-diffuse-all-True] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods2-diffuse-all-False] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods2-approximate_diffuse-None-True] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods2-approximate_diffuse-None-False] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods2-approximate_diffuse-init-True] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods2-approximate_diffuse-init-False] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods2-approximate_diffuse-mixed-True] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods2-approximate_diffuse-mixed-False] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods2-approximate_diffuse-all-True] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods2-approximate_diffuse-all-False] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_invalid_options PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_sarimax[False-0-None] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_sarimax[False-0-init] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_sarimax[False-0-mixed] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_sarimax[False-0-all] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_sarimax[False-periods1-None] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_sarimax[False-periods1-init] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_sarimax[False-periods1-mixed] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_sarimax[False-periods1-all] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_sarimax[False-periods2-None] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_sarimax[False-periods2-init] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_sarimax[False-periods2-mixed] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_sarimax[False-periods2-all] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_sarimax[True-0-None] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_sarimax[True-0-init] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_sarimax[True-0-mixed] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_sarimax[True-0-all] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_sarimax[True-periods1-None] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_sarimax[True-periods1-init] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_sarimax[True-periods1-mixed] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_sarimax[True-periods1-all] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_sarimax[True-periods2-None] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_sarimax[True-periods2-init] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_sarimax[True-periods2-mixed] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_sarimax[True-periods2-all] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_unobserved_components[False-0-None] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_unobserved_components[False-0-init] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_unobserved_components[False-0-mixed] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_unobserved_components[False-0-all] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_unobserved_components[False-periods1-None] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_unobserved_components[False-periods1-init] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_unobserved_components[False-periods1-mixed] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_unobserved_components[False-periods1-all] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_unobserved_components[False-periods2-None] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_unobserved_components[False-periods2-init] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_unobserved_components[False-periods2-mixed] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_unobserved_components[False-periods2-all] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_unobserved_components[True-0-None] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_unobserved_components[True-0-init] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_unobserved_components[True-0-mixed] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_unobserved_components[True-0-all] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_unobserved_components[True-periods1-None] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_unobserved_components[True-periods1-init] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_unobserved_components[True-periods1-mixed] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_unobserved_components[True-periods1-all] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_unobserved_components[True-periods2-None] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_unobserved_components[True-periods2-init] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_unobserved_components[True-periods2-mixed] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_unobserved_components[True-periods2-all] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_varmax[0-None] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_varmax[0-init] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_varmax[0-mixed] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_varmax[0-all] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_varmax[periods1-None] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_varmax[periods1-init] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_varmax[periods1-mixed] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_varmax[periods1-all] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_varmax[periods2-None] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_varmax[periods2-init] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_varmax[periods2-mixed] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_varmax[periods2-all] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_dynamic_factor[0-None] PASSED [ 62%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_dynamic_factor[0-init] PASSED [ 63%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_dynamic_factor[0-mixed] PASSED [ 63%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_dynamic_factor[0-all] PASSED [ 63%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_dynamic_factor[periods1-None] PASSED [ 63%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_dynamic_factor[periods1-init] PASSED [ 63%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_dynamic_factor[periods1-mixed] PASSED [ 63%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_dynamic_factor[periods1-all] PASSED [ 63%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_dynamic_factor[periods2-None] PASSED [ 63%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_dynamic_factor[periods2-init] PASSED [ 63%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_dynamic_factor[periods2-mixed] PASSED [ 63%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_dynamic_factor[periods2-all] PASSED [ 63%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_simulation_smoothing[None] PASSED [ 63%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_simulation_smoothing[mixed] PASSED [ 63%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_time_varying_model PASSED [ 63%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_news.py::test_sarimax_time_invariant[True-True] PASSED [ 63%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_news.py::test_sarimax_time_invariant[True-False] PASSED [ 63%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_news.py::test_sarimax_time_invariant[False-True] PASSED [ 63%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_news.py::test_sarimax_time_invariant[False-False] PASSED [ 63%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_news.py::test_sarimax_time_varying[exog-True-True] PASSED [ 63%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_news.py::test_sarimax_time_varying[exog-True-False] PASSED [ 63%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_news.py::test_sarimax_time_varying[exog-False-True] PASSED [ 63%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_news.py::test_sarimax_time_varying[exog-False-False] PASSED [ 63%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_news.py::test_sarimax_time_varying[trend-True-True] PASSED [ 63%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_news.py::test_sarimax_time_varying[trend-True-False] PASSED [ 63%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_news.py::test_sarimax_time_varying[trend-False-True] PASSED [ 63%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_news.py::test_sarimax_time_varying[trend-False-False] PASSED [ 63%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_news.py::test_unobserved_components_time_varying[True-True] PASSED [ 63%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_news.py::test_unobserved_components_time_varying[True-False] PASSED [ 63%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_news.py::test_unobserved_components_time_varying[False-True] PASSED [ 63%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_news.py::test_unobserved_components_time_varying[False-False] PASSED [ 63%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_news.py::test_varmax_time_invariant[True-True] PASSED [ 63%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_news.py::test_varmax_time_invariant[True-False] PASSED [ 63%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_news.py::test_varmax_time_invariant[False-True] PASSED [ 63%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_news.py::test_varmax_time_invariant[False-False] PASSED [ 63%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_news.py::test_varmax_time_varying[exog-True-True] PASSED [ 63%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_news.py::test_varmax_time_varying[exog-True-False] PASSED [ 63%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_news.py::test_varmax_time_varying[exog-False-True] PASSED [ 63%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_news.py::test_varmax_time_varying[exog-False-False] PASSED [ 63%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_news.py::test_varmax_time_varying[trend-True-True] PASSED [ 63%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_news.py::test_varmax_time_varying[trend-True-False] PASSED [ 63%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_news.py::test_varmax_time_varying[trend-False-True] PASSED [ 63%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_news.py::test_varmax_time_varying[trend-False-False] PASSED [ 63%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_news.py::test_dynamic_factor_time_varying[True-True] PASSED [ 63%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_news.py::test_dynamic_factor_time_varying[True-False] PASSED [ 63%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_news.py::test_dynamic_factor_time_varying[False-True] PASSED [ 63%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_news.py::test_dynamic_factor_time_varying[False-False] PASSED [ 63%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_news.py::test_defaults[True-True] PASSED [ 63%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_news.py::test_defaults[True-False] PASSED [ 63%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_news.py::test_defaults[False-True] PASSED [ 63%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_news.py::test_defaults[False-False] PASSED [ 63%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_news.py::test_comparison_types PASSED [ 63%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_news.py::test_start_end_dates[True] PASSED [ 63%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_news.py::test_start_end_dates[False] PASSED [ 63%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_news.py::test_start_end_int[range] PASSED [ 63%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_news.py::test_start_end_int[range2] PASSED [ 63%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_news.py::test_start_end_int[int64] PASSED [ 63%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_news.py::test_start_end_int[numpy] PASSED [ 63%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_news.py::test_start_end_int[list] PASSED [ 63%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_news.py::test_invalid PASSED [ 63%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_options.py::TestOptions::test_filter_methods PASSED [ 63%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_options.py::TestOptions::test_inversion_methods PASSED [ 63%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_options.py::TestOptions::test_stability_methods PASSED [ 63%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_options.py::TestOptions::test_conserve_memory PASSED [ 63%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_options.py::TestOptions::test_smoother_outputs PASSED [ 63%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_options.py::TestOptions::test_simulation_outputs PASSED [ 63%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_pickle.py::test_pickle_fit_sarimax PASSED [ 63%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_pickle.py::test_unobserved_components_pickle PASSED [ 63%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_pickle.py::test_kalman_filter_pickle PASSED [ 63%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_pickle.py::test_representation_pickle PASSED [ 63%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_prediction.py::test_predict_dates PASSED [ 63%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_prediction.py::test_memory_no_predicted PASSED [ 63%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_representation.py::TestClark1987Single::test_loglike SKIPPED [ 63%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_representation.py::TestClark1987Single::test_filtered_state SKIPPED [ 63%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_representation.py::TestClark1987Double::test_loglike PASSED [ 63%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_representation.py::TestClark1987Double::test_filtered_state PASSED [ 63%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_representation.py::TestClark1987SingleComplex::test_loglike SKIPPED [ 63%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_representation.py::TestClark1987SingleComplex::test_filtered_state SKIPPED [ 63%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_representation.py::TestClark1987DoubleComplex::test_loglike PASSED [ 63%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_representation.py::TestClark1987DoubleComplex::test_filtered_state PASSED [ 63%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_representation.py::TestClark1987Conserve::test_loglike PASSED [ 63%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_representation.py::TestClark1987Conserve::test_filtered_state PASSED [ 63%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_representation.py::TestClark1987ForecastDouble::test_loglike PASSED [ 63%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_representation.py::TestClark1987ForecastDouble::test_filtered_state PASSED [ 63%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_representation.py::TestClark1987ForecastDoubleComplex::test_loglike PASSED [ 63%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_representation.py::TestClark1987ForecastDoubleComplex::test_filtered_state PASSED [ 63%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_representation.py::TestClark1987ForecastConserve::test_loglike PASSED [ 63%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_representation.py::TestClark1987ForecastConserve::test_filtered_state PASSED [ 63%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_representation.py::TestClark1987ConserveAll::test_loglike PASSED [ 63%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_representation.py::TestClark1987ConserveAll::test_filtered_state PASSED [ 63%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_representation.py::TestClark1989::test_loglike PASSED [ 63%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_representation.py::TestClark1989::test_filtered_state PASSED [ 63%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_representation.py::TestClark1989::test_kalman_gain PASSED [ 63%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_representation.py::TestClark1989Conserve::test_loglike PASSED [ 63%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_representation.py::TestClark1989Conserve::test_filtered_state PASSED [ 63%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_representation.py::TestClark1989ForecastDouble::test_loglike PASSED [ 63%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_representation.py::TestClark1989ForecastDouble::test_filtered_state PASSED [ 63%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_representation.py::TestClark1989ForecastDoubleComplex::test_loglike PASSED [ 63%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::TestFriedmanMLERegression::test_loglike PASSED [ 64%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::TestFriedmanForecast::test_hqic PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::TestFriedmanForecast::test_standardized_forecasts_error PASSED [ 64%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_as_polynomial::test_transform_untransform PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_as_polynomial::test_results PASSED [ 64%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_as_polynomial::test_predict PASSED [ 64%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_trend_c::test_loglike PASSED [ 64%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_trend_c::test_transform_untransform PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_trend_c::test_results PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_trend_c::test_plot_diagnostics PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_trend_c::test_predict PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_trend_c::test_init_keys_replicate PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_trend_ct::test_loglike PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_trend_ct::test_start_params PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_trend_ct::test_transform_untransform PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_trend_ct::test_results PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_trend_ct::test_plot_diagnostics PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_trend_ct::test_predict PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_trend_ct::test_init_keys_replicate PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_trend_polynomial::test_loglike PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_trend_polynomial::test_start_params PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_trend_polynomial::test_transform_untransform PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_trend_polynomial::test_results PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_trend_polynomial::test_plot_diagnostics PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_trend_polynomial::test_predict PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_trend_polynomial::test_init_keys_replicate PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_diff::test_loglike PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_diff::test_start_params PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_diff::test_transform_untransform PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_diff::test_results PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_diff::test_plot_diagnostics PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_diff::test_predict PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_diff::test_init_keys_replicate PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_seasonal_diff::test_loglike PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_seasonal_diff::test_start_params PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_seasonal_diff::test_transform_untransform PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_seasonal_diff::test_results PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_seasonal_diff::test_plot_diagnostics PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_seasonal_diff::test_predict PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_seasonal_diff::test_init_keys_replicate PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_diffuse::test_loglike PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_diffuse::test_start_params PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_diffuse::test_transform_untransform PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_diffuse::test_results PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_diffuse::test_plot_diagnostics PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_diffuse::test_predict PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_diffuse::test_init_keys_replicate PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_no_enforce::test_loglike PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_no_enforce::test_start_params PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_no_enforce::test_transform_untransform PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_no_enforce::test_results PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_no_enforce::test_plot_diagnostics PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_no_enforce::test_predict PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_no_enforce::test_init_keys_replicate PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_exogenous::test_loglike PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_exogenous::test_start_params PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_exogenous::test_transform_untransform PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_exogenous::test_results PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_exogenous::test_plot_diagnostics PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_exogenous::test_predict PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_exogenous::test_init_keys_replicate PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_exogenous_in_state::test_start_params PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_exogenous_in_state::test_transform_untransform PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_exogenous_in_state::test_results PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_exogenous_in_state::test_plot_diagnostics PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_exogenous_in_state::test_predict PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_exogenous_in_state::test_init_keys_replicate PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_exogenous_in_state::test_loglike PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_exogenous_in_state::test_regression_coefficient PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma::test_loglike PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma::test_start_params PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma::test_transform_untransform PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma::test_results PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma::test_plot_diagnostics PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma::test_predict PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma::test_init_keys_replicate PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_as_polynomial::test_loglike PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_as_polynomial::test_start_params PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_as_polynomial::test_transform_untransform PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_as_polynomial::test_results PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_as_polynomial::test_plot_diagnostics PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_as_polynomial::test_predict PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_as_polynomial::test_init_keys_replicate PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_trend_c::test_loglike PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_trend_c::test_start_params PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_trend_c::test_transform_untransform PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_trend_c::test_results PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_trend_c::test_plot_diagnostics PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_trend_c::test_predict PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_trend_c::test_init_keys_replicate PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_trend_ct::test_loglike PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_trend_ct::test_start_params PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_trend_ct::test_transform_untransform PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_trend_ct::test_results PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_trend_ct::test_plot_diagnostics PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_trend_ct::test_predict PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_trend_ct::test_init_keys_replicate PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_trend_polynomial::test_loglike PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_trend_polynomial::test_start_params PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_trend_polynomial::test_transform_untransform PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_trend_polynomial::test_results PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_trend_polynomial::test_plot_diagnostics PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_trend_polynomial::test_predict PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_trend_polynomial::test_init_keys_replicate PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_diff::test_loglike PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_diff::test_start_params PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_diff::test_transform_untransform PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_diff::test_results PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_diff::test_plot_diagnostics PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_diff::test_predict PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_diff::test_init_keys_replicate PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_seasonal_diff::test_loglike PASSED [ 64%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_seasonal_diff::test_start_params PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_seasonal_diff::test_transform_untransform PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_seasonal_diff::test_results PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_seasonal_diff::test_plot_diagnostics PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_seasonal_diff::test_predict PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_seasonal_diff::test_init_keys_replicate PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_diffuse::test_loglike PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_diffuse::test_start_params PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_diffuse::test_transform_untransform PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_diffuse::test_results PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_diffuse::test_plot_diagnostics PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_diffuse::test_predict PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_diffuse::test_init_keys_replicate PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_exogenous::test_loglike PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_exogenous::test_start_params PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_exogenous::test_transform_untransform PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_exogenous::test_results PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_exogenous::test_plot_diagnostics PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_exogenous::test_predict PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_exogenous::test_init_keys_replicate PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma::test_loglike PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma::test_start_params PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma::test_transform_untransform PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma::test_results PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma::test_plot_diagnostics PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma::test_predict PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma::test_init_keys_replicate PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_trend_c::test_loglike PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_trend_c::test_start_params PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_trend_c::test_transform_untransform PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_trend_c::test_results PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_trend_c::test_plot_diagnostics PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_trend_c::test_predict PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_trend_c::test_init_keys_replicate PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_trend_ct::test_loglike PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_trend_ct::test_start_params PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_trend_ct::test_transform_untransform PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_trend_ct::test_results PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_trend_ct::test_plot_diagnostics PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_trend_ct::test_predict PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_trend_ct::test_init_keys_replicate PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_trend_polynomial::test_loglike PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_trend_polynomial::test_start_params PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_trend_polynomial::test_transform_untransform PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_trend_polynomial::test_results PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_trend_polynomial::test_plot_diagnostics PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_trend_polynomial::test_predict PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_trend_polynomial::test_init_keys_replicate PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_diff::test_loglike PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_diff::test_start_params PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_diff::test_transform_untransform PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_diff::test_results PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_diff::test_plot_diagnostics PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_diff::test_predict PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_diff::test_init_keys_replicate PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_seasonal_diff::test_loglike PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_seasonal_diff::test_start_params PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_seasonal_diff::test_transform_untransform PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_seasonal_diff::test_results PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_seasonal_diff::test_plot_diagnostics PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_seasonal_diff::test_predict PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_seasonal_diff::test_init_keys_replicate PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_diff_seasonal_diff::test_loglike PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_diff_seasonal_diff::test_start_params PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_diff_seasonal_diff::test_transform_untransform PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_diff_seasonal_diff::test_results PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_diff_seasonal_diff::test_plot_diagnostics PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_diff_seasonal_diff::test_predict PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_diff_seasonal_diff::test_init_keys_replicate PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_diffuse::test_loglike PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_diffuse::test_start_params PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_diffuse::test_transform_untransform PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_diffuse::test_results PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_diffuse::test_plot_diagnostics PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_diffuse::test_predict PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_diffuse::test_init_keys_replicate PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_exogenous::test_loglike PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_exogenous::test_start_params PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_exogenous::test_transform_untransform PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_exogenous::test_results PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_exogenous::test_plot_diagnostics PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_exogenous::test_predict PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_exogenous::test_init_keys_replicate PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar::test_loglike PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar::test_start_params PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar::test_transform_untransform PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar::test_results PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar::test_plot_diagnostics PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar::test_predict PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar::test_init_keys_replicate PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_as_polynomial::test_loglike PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_as_polynomial::test_start_params PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_as_polynomial::test_transform_untransform PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_as_polynomial::test_results PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_as_polynomial::test_plot_diagnostics PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_as_polynomial::test_predict PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_as_polynomial::test_init_keys_replicate PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_trend_c::test_loglike PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_trend_c::test_start_params PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_trend_c::test_transform_untransform PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_trend_c::test_results PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_trend_c::test_plot_diagnostics PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_trend_c::test_predict PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_trend_c::test_init_keys_replicate PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_trend_ct::test_loglike PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_trend_ct::test_start_params PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_trend_ct::test_transform_untransform PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_trend_ct::test_results PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_trend_ct::test_plot_diagnostics PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_trend_ct::test_predict PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_trend_ct::test_init_keys_replicate PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_trend_polynomial::test_loglike PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_trend_polynomial::test_start_params PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_trend_polynomial::test_transform_untransform PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_trend_polynomial::test_results PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_trend_polynomial::test_plot_diagnostics PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_trend_polynomial::test_predict PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_trend_polynomial::test_init_keys_replicate PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_diff::test_loglike PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_diff::test_start_params PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_diff::test_transform_untransform PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_diff::test_results PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_diff::test_plot_diagnostics PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_diff::test_predict PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_diff::test_init_keys_replicate PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_seasonal_diff::test_loglike PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_seasonal_diff::test_start_params PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_seasonal_diff::test_transform_untransform PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_seasonal_diff::test_results PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_seasonal_diff::test_plot_diagnostics PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_seasonal_diff::test_predict PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_seasonal_diff::test_init_keys_replicate PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_diffuse::test_loglike PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_diffuse::test_start_params PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_diffuse::test_transform_untransform PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_diffuse::test_results PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_diffuse::test_plot_diagnostics PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_diffuse::test_predict PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_diffuse::test_init_keys_replicate PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_exogenous::test_loglike PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_exogenous::test_start_params PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_exogenous::test_transform_untransform PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_exogenous::test_results PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_exogenous::test_plot_diagnostics PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_exogenous::test_predict PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_exogenous::test_init_keys_replicate PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma::test_loglike PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma::test_start_params PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma::test_transform_untransform PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma::test_results PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma::test_plot_diagnostics PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma::test_predict PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma::test_init_keys_replicate PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_as_polynomial::test_loglike PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_as_polynomial::test_start_params PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_as_polynomial::test_transform_untransform PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_as_polynomial::test_results PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_as_polynomial::test_plot_diagnostics PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_as_polynomial::test_predict PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_as_polynomial::test_init_keys_replicate PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_trend_c::test_loglike PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_trend_c::test_start_params PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_trend_c::test_transform_untransform PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_trend_c::test_results PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_trend_c::test_plot_diagnostics PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_trend_c::test_predict PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_trend_c::test_init_keys_replicate PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_trend_ct::test_loglike PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_trend_ct::test_start_params PASSED [ 65%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_trend_ct::test_transform_untransform PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_trend_ct::test_results PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_trend_ct::test_plot_diagnostics PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_trend_ct::test_predict PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_trend_ct::test_init_keys_replicate PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_trend_polynomial::test_loglike PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_trend_polynomial::test_start_params PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_trend_polynomial::test_transform_untransform PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_trend_polynomial::test_results PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_trend_polynomial::test_plot_diagnostics PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_trend_polynomial::test_predict PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_trend_polynomial::test_init_keys_replicate PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_diff::test_loglike PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_diff::test_start_params PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_diff::test_transform_untransform PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_diff::test_results PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_diff::test_plot_diagnostics PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_diff::test_predict PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_diff::test_init_keys_replicate PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_seasonal_diff::test_loglike PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_seasonal_diff::test_start_params PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_seasonal_diff::test_transform_untransform PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_seasonal_diff::test_results PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_seasonal_diff::test_plot_diagnostics PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_seasonal_diff::test_predict PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_seasonal_diff::test_init_keys_replicate PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_diffuse::test_loglike PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_diffuse::test_start_params PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_diffuse::test_transform_untransform PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_diffuse::test_results PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_diffuse::test_plot_diagnostics PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_diffuse::test_predict PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_diffuse::test_init_keys_replicate PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_exogenous::test_loglike PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_exogenous::test_start_params PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_exogenous::test_transform_untransform PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_exogenous::test_results PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_exogenous::test_plot_diagnostics PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_exogenous::test_predict PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_exogenous::test_init_keys_replicate PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma::test_loglike PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma::test_start_params PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma::test_transform_untransform PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma::test_results PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma::test_plot_diagnostics PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma::test_predict PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma::test_init_keys_replicate PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_trend_c::test_loglike PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_trend_c::test_start_params PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_trend_c::test_transform_untransform PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_trend_c::test_results PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_trend_c::test_plot_diagnostics PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_trend_c::test_predict PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_trend_c::test_init_keys_replicate PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_trend_ct::test_loglike PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_trend_ct::test_start_params PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_trend_ct::test_transform_untransform PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_trend_ct::test_results PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_trend_ct::test_plot_diagnostics PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_trend_ct::test_predict PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_trend_ct::test_init_keys_replicate PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_trend_polynomial::test_loglike PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_trend_polynomial::test_start_params PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_trend_polynomial::test_transform_untransform PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_trend_polynomial::test_plot_diagnostics PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_trend_polynomial::test_predict PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_trend_polynomial::test_init_keys_replicate PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_trend_polynomial::test_results PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_diff::test_loglike PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_diff::test_start_params PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_diff::test_transform_untransform PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_diff::test_results PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_diff::test_plot_diagnostics PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_diff::test_predict PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_diff::test_init_keys_replicate PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_seasonal_diff::test_loglike PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_seasonal_diff::test_start_params PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_seasonal_diff::test_transform_untransform PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_seasonal_diff::test_results PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_seasonal_diff::test_plot_diagnostics PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_seasonal_diff::test_predict PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_seasonal_diff::test_init_keys_replicate PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_diff_seasonal_diff::test_loglike PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_diff_seasonal_diff::test_start_params PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_diff_seasonal_diff::test_transform_untransform PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_diff_seasonal_diff::test_plot_diagnostics PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_diff_seasonal_diff::test_predict PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_diff_seasonal_diff::test_init_keys_replicate PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_diff_seasonal_diff::test_results PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_diffuse::test_loglike PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_diffuse::test_start_params PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_diffuse::test_transform_untransform PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_diffuse::test_results PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_diffuse::test_plot_diagnostics PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_diffuse::test_predict PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_diffuse::test_init_keys_replicate PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_exogenous::test_loglike PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_exogenous::test_start_params PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_exogenous::test_transform_untransform PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_exogenous::test_results PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_exogenous::test_plot_diagnostics PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_exogenous::test_predict PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_exogenous::test_init_keys_replicate PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_sarimax_exogenous::test_loglike PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_sarimax_exogenous::test_start_params PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_sarimax_exogenous::test_transform_untransform PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_sarimax_exogenous::test_results PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_sarimax_exogenous::test_plot_diagnostics PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_sarimax_exogenous::test_predict PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_sarimax_exogenous::test_init_keys_replicate PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_sarimax_exogenous::test_results_params PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_sarimax_exogenous_not_hamilton::test_loglike PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_sarimax_exogenous_not_hamilton::test_start_params PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_sarimax_exogenous_not_hamilton::test_transform_untransform PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_sarimax_exogenous_not_hamilton::test_results PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_sarimax_exogenous_not_hamilton::test_plot_diagnostics PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_sarimax_exogenous_not_hamilton::test_predict PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_sarimax_exogenous_not_hamilton::test_init_keys_replicate PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_sarimax_exogenous_diffuse::test_loglike PASSED [ 66%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_sarimax_exogenous_diffuse::test_start_params PASSED [ 66%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_simulation_smoothing.py::TestMultivariateVAR::test_loglike PASSED [ 67%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_simulation_smoothing.py::TestMultivariateVAR::test_simulation_smoothing PASSED [ 67%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_simulation_smoothing.py::test_misc PASSED [ 67%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_simulation_smoothing.py::test_simulation_smoothing_obs_intercept PASSED [ 67%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_simulation_smoothing.py::test_simulation_smoothing_state_intercept PASSED [ 67%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_simulation_smoothing.py::test_simulation_smoothing_state_intercept_diffuse PASSED [ 67%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3::test_predict_obs PASSED [ 67%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3::test_standardized_residuals PASSED [ 67%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3::test_predicted_states PASSED [ 67%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3::test_predicted_states_cov PASSED [ 67%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3::test_filtered_states PASSED [ 67%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3::test_smoothed_states PASSED [ 67%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3::test_smoothed_states_cov PASSED [ 67%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3::test_smoothed_measurement_disturbance PASSED [ 67%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3::test_smoothed_measurement_disturbance_cov PASSED [ 67%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3::test_smoothed_state_disturbance PASSED [ 67%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3::test_smoothed_state_disturbance_cov PASSED [ 67%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3AlternateTiming::test_predict_obs PASSED [ 67%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3AlternateTiming::test_standardized_residuals PASSED [ 67%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3AlternateTiming::test_predicted_states PASSED [ 67%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3AlternateTiming::test_predicted_states_cov PASSED [ 67%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3AlternateTiming::test_filtered_states PASSED [ 67%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3AlternateTiming::test_smoothed_states PASSED [ 67%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3AlternateTiming::test_smoothed_states_cov PASSED [ 67%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3AlternateTiming::test_smoothed_measurement_disturbance PASSED [ 67%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3AlternateTiming::test_smoothed_measurement_disturbance_cov PASSED [ 67%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3AlternateTiming::test_smoothed_state_disturbance PASSED [ 67%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3AlternateTiming::test_smoothed_state_disturbance_cov PASSED [ 67%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3AlternativeSmoothing::test_predict_obs PASSED [ 67%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3AlternativeSmoothing::test_standardized_residuals PASSED [ 67%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3AlternativeSmoothing::test_predicted_states PASSED [ 67%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3AlternativeSmoothing::test_predicted_states_cov PASSED [ 67%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3AlternativeSmoothing::test_filtered_states PASSED [ 67%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3AlternativeSmoothing::test_smoothed_measurement_disturbance PASSED [ 67%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3AlternativeSmoothing::test_smoothed_measurement_disturbance_cov PASSED [ 67%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3AlternativeSmoothing::test_smoothed_state_disturbance PASSED [ 67%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3AlternativeSmoothing::test_smoothed_state_disturbance_cov PASSED [ 67%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3AlternativeSmoothing::test_smoothed_states PASSED [ 67%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3AlternativeSmoothing::test_smoothed_states_cov PASSED [ 67%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3AlternativeSmoothing::test_smooth_method PASSED [ 67%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3UnivariateSmoothing::test_predict_obs PASSED [ 67%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3UnivariateSmoothing::test_standardized_residuals PASSED [ 67%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3UnivariateSmoothing::test_predicted_states PASSED [ 67%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3UnivariateSmoothing::test_predicted_states_cov PASSED [ 67%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3UnivariateSmoothing::test_filtered_states PASSED [ 67%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3UnivariateSmoothing::test_smoothed_states PASSED [ 67%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3UnivariateSmoothing::test_smoothed_states_cov PASSED [ 67%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3UnivariateSmoothing::test_smoothed_measurement_disturbance PASSED [ 67%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3UnivariateSmoothing::test_smoothed_measurement_disturbance_cov PASSED [ 67%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3UnivariateSmoothing::test_smoothed_state_disturbance PASSED [ 67%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3UnivariateSmoothing::test_smoothed_state_disturbance_cov PASSED [ 67%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3UnivariateSmoothing::test_smooth_method PASSED [ 67%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3::test_predicted_states PASSED [ 67%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3::test_predicted_states_cov PASSED [ 67%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3::test_smoothed_states PASSED [ 67%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3::test_smoothed_states_cov PASSED [ 67%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3::test_smoothed_measurement_disturbance PASSED [ 67%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3::test_smoothed_measurement_disturbance_cov PASSED [ 67%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3::test_smoothed_state_disturbance PASSED [ 67%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3::test_smoothed_state_disturbance_cov PASSED [ 67%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3AlternateTiming::test_predicted_states PASSED [ 67%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3AlternateTiming::test_predicted_states_cov PASSED [ 67%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3AlternateTiming::test_smoothed_states PASSED [ 67%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3AlternateTiming::test_smoothed_states_cov PASSED [ 67%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3AlternateTiming::test_smoothed_measurement_disturbance PASSED [ 67%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3AlternateTiming::test_smoothed_measurement_disturbance_cov PASSED [ 67%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3AlternateTiming::test_smoothed_state_disturbance PASSED [ 67%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3AlternateTiming::test_smoothed_state_disturbance_cov PASSED [ 67%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3AlternativeSmoothing::test_predicted_states PASSED [ 67%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3AlternativeSmoothing::test_predicted_states_cov PASSED [ 67%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3AlternativeSmoothing::test_smoothed_states PASSED [ 67%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3AlternativeSmoothing::test_smoothed_states_cov PASSED [ 67%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3AlternativeSmoothing::test_smoothed_measurement_disturbance PASSED [ 67%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3AlternativeSmoothing::test_smoothed_measurement_disturbance_cov PASSED [ 67%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3AlternativeSmoothing::test_smoothed_state_disturbance PASSED [ 67%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3AlternativeSmoothing::test_smoothed_state_disturbance_cov PASSED [ 67%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3AlternativeSmoothing::test_smooth_method PASSED [ 67%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3UnivariateSmoothing::test_predicted_states PASSED [ 67%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3UnivariateSmoothing::test_predicted_states_cov PASSED [ 67%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3UnivariateSmoothing::test_smoothed_states PASSED [ 67%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3UnivariateSmoothing::test_smoothed_states_cov PASSED [ 67%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3UnivariateSmoothing::test_smoothed_measurement_disturbance PASSED [ 67%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3UnivariateSmoothing::test_smoothed_measurement_disturbance_cov PASSED [ 67%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3UnivariateSmoothing::test_smoothed_state_disturbance PASSED [ 67%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3UnivariateSmoothing::test_smoothed_state_disturbance_cov PASSED [ 67%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3UnivariateSmoothing::test_smooth_method PASSED [ 67%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissing::test_loglike PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissing::test_scaled_smoothed_estimator PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissing::test_scaled_smoothed_estimator_cov PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissing::test_forecasts PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissing::test_forecasts_error PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissing::test_forecasts_error_cov PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissing::test_predicted_states PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissing::test_predicted_states_cov PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissing::test_smoothed_states PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissing::test_smoothed_states_cov PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissing::test_smoothed_forecasts PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissing::test_smoothed_state_disturbance PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissing::test_smoothed_state_disturbance_cov PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissing::test_smoothed_measurement_disturbance PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissing::test_smoothed_measurement_disturbance_cov PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingClassicalSmoothing::test_loglike PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingClassicalSmoothing::test_scaled_smoothed_estimator PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingClassicalSmoothing::test_scaled_smoothed_estimator_cov PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingClassicalSmoothing::test_forecasts PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingClassicalSmoothing::test_forecasts_error PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingClassicalSmoothing::test_forecasts_error_cov PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingClassicalSmoothing::test_predicted_states PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingClassicalSmoothing::test_predicted_states_cov PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingClassicalSmoothing::test_smoothed_states PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingClassicalSmoothing::test_smoothed_states_cov PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingClassicalSmoothing::test_smoothed_forecasts PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingClassicalSmoothing::test_smoothed_state_disturbance PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingClassicalSmoothing::test_smoothed_state_disturbance_cov PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingClassicalSmoothing::test_smoothed_measurement_disturbance PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingClassicalSmoothing::test_smoothed_measurement_disturbance_cov PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingClassicalSmoothing::test_smooth_method PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingAlternativeSmoothing::test_loglike PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingAlternativeSmoothing::test_scaled_smoothed_estimator PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingAlternativeSmoothing::test_scaled_smoothed_estimator_cov PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingAlternativeSmoothing::test_forecasts PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingAlternativeSmoothing::test_forecasts_error PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingAlternativeSmoothing::test_forecasts_error_cov PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingAlternativeSmoothing::test_predicted_states PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingAlternativeSmoothing::test_predicted_states_cov PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingAlternativeSmoothing::test_smoothed_states PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingAlternativeSmoothing::test_smoothed_states_cov PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingAlternativeSmoothing::test_smoothed_forecasts PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingAlternativeSmoothing::test_smoothed_state_disturbance PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingAlternativeSmoothing::test_smoothed_state_disturbance_cov PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingAlternativeSmoothing::test_smoothed_measurement_disturbance PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingAlternativeSmoothing::test_smoothed_measurement_disturbance_cov PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingAlternativeSmoothing::test_smooth_method PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingUnivariateSmoothing::test_loglike PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingUnivariateSmoothing::test_scaled_smoothed_estimator PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingUnivariateSmoothing::test_scaled_smoothed_estimator_cov PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingUnivariateSmoothing::test_forecasts PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingUnivariateSmoothing::test_forecasts_error PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingUnivariateSmoothing::test_forecasts_error_cov PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingUnivariateSmoothing::test_predicted_states PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingUnivariateSmoothing::test_predicted_states_cov PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingUnivariateSmoothing::test_smoothed_states PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingUnivariateSmoothing::test_smoothed_states_cov PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingUnivariateSmoothing::test_smoothed_forecasts PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingUnivariateSmoothing::test_smoothed_state_disturbance PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingUnivariateSmoothing::test_smoothed_state_disturbance_cov PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingUnivariateSmoothing::test_smoothed_measurement_disturbance PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingUnivariateSmoothing::test_smoothed_measurement_disturbance_cov PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingUnivariateSmoothing::test_smooth_method PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVAR::test_loglike PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVAR::test_scaled_smoothed_estimator PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVAR::test_scaled_smoothed_estimator_cov PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVAR::test_forecasts PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVAR::test_forecasts_error PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVAR::test_forecasts_error_cov PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVAR::test_predicted_states PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVAR::test_predicted_states_cov PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVAR::test_smoothed_states PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVAR::test_smoothed_states_cov PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVAR::test_smoothed_forecasts PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVAR::test_smoothed_state_disturbance PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVAR::test_smoothed_state_disturbance_cov PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVAR::test_smoothed_measurement_disturbance PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVAR::test_smoothed_measurement_disturbance_cov PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARAlternativeSmoothing::test_loglike PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARAlternativeSmoothing::test_scaled_smoothed_estimator PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARAlternativeSmoothing::test_scaled_smoothed_estimator_cov PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARAlternativeSmoothing::test_forecasts PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARAlternativeSmoothing::test_forecasts_error PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARAlternativeSmoothing::test_forecasts_error_cov PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARAlternativeSmoothing::test_predicted_states PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARAlternativeSmoothing::test_predicted_states_cov PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARAlternativeSmoothing::test_smoothed_states PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARAlternativeSmoothing::test_smoothed_states_cov PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARAlternativeSmoothing::test_smoothed_forecasts PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARAlternativeSmoothing::test_smoothed_state_disturbance PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARAlternativeSmoothing::test_smoothed_state_disturbance_cov PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARAlternativeSmoothing::test_smoothed_measurement_disturbance PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARAlternativeSmoothing::test_smoothed_measurement_disturbance_cov PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARAlternativeSmoothing::test_smooth_method PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARClassicalSmoothing::test_loglike PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARClassicalSmoothing::test_scaled_smoothed_estimator PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARClassicalSmoothing::test_scaled_smoothed_estimator_cov PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARClassicalSmoothing::test_forecasts PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARClassicalSmoothing::test_forecasts_error PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARClassicalSmoothing::test_forecasts_error_cov PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARClassicalSmoothing::test_predicted_states PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARClassicalSmoothing::test_predicted_states_cov PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARClassicalSmoothing::test_smoothed_states PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARClassicalSmoothing::test_smoothed_states_cov PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARClassicalSmoothing::test_smoothed_forecasts PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARClassicalSmoothing::test_smoothed_state_disturbance PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARClassicalSmoothing::test_smoothed_state_disturbance_cov PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARClassicalSmoothing::test_smoothed_measurement_disturbance PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARClassicalSmoothing::test_smoothed_measurement_disturbance_cov PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARClassicalSmoothing::test_smooth_method PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariate::test_loglike PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariate::test_scaled_smoothed_estimator PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariate::test_scaled_smoothed_estimator_cov PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariate::test_forecasts PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariate::test_forecasts_error PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariate::test_forecasts_error_cov PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariate::test_predicted_states PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariate::test_predicted_states_cov PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariate::test_smoothed_states PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariate::test_smoothed_states_cov PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariate::test_smoothed_forecasts PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariate::test_smoothed_state_disturbance PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariate::test_smoothed_state_disturbance_cov PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariate::test_smoothed_measurement_disturbance PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariate::test_smoothed_measurement_disturbance_cov PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariateSmoothing::test_loglike PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariateSmoothing::test_scaled_smoothed_estimator PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariateSmoothing::test_scaled_smoothed_estimator_cov PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariateSmoothing::test_forecasts PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariateSmoothing::test_forecasts_error PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariateSmoothing::test_forecasts_error_cov PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariateSmoothing::test_predicted_states PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariateSmoothing::test_predicted_states_cov PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariateSmoothing::test_smoothed_states PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariateSmoothing::test_smoothed_states_cov PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariateSmoothing::test_smoothed_forecasts PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariateSmoothing::test_smoothed_state_disturbance PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariateSmoothing::test_smoothed_state_disturbance_cov PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariateSmoothing::test_smoothed_measurement_disturbance PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariateSmoothing::test_smoothed_measurement_disturbance_cov PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariateSmoothing::test_filter_method PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariateSmoothing::test_smooth_method PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestVARAutocovariances::test_smoothed_state_autocov PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestVARAutocovariancesAlternativeSmoothing::test_smoothed_state_autocov PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestVARAutocovariancesAlternativeSmoothing::test_smooth_method PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestVARAutocovariancesClassicalSmoothing::test_smoothed_state_autocov PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestVARAutocovariancesClassicalSmoothing::test_smooth_method PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestVARAutocovariancesUnivariateSmoothing::test_smoothed_state_autocov PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestVARAutocovariancesUnivariateSmoothing::test_filter_method PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestVARAutocovariancesUnivariateSmoothing::test_smooth_method PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_backwards[True-True-all] PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_backwards[True-True-partial] PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_backwards[True-True-mixed] PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_backwards[True-True-None] PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_backwards[True-False-all] PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_backwards[True-False-partial] PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_backwards[True-False-mixed] PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_backwards[True-False-None] PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_backwards[False-True-all] PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_backwards[False-True-partial] PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_backwards[False-True-mixed] PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_backwards[False-True-None] PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_backwards[False-False-all] PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_backwards[False-False-partial] PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_backwards[False-False-mixed] PASSED [ 68%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_backwards[False-False-None] PASSED [ 68%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_tools.py::TestSolveDiscreteLyapunov::test_univariate PASSED [ 69%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_tools.py::TestSolveDiscreteLyapunov::test_multivariate PASSED [ 69%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_tools.py::TestConcat::test_valid PASSED [ 69%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_tools.py::TestConcat::test_invalid PASSED [ 69%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_tools.py::TestIsInvertible::test_cases PASSED [ 69%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_tools.py::TestConstrainStationaryUnivariate::test_cases PASSED [ 69%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_tools.py::TestUnconstrainStationaryUnivariate::test_cases PASSED [ 69%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_tools.py::TestStationaryUnivariate::test_cases PASSED [ 69%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_tools.py::TestValidateMatrixShape::test_valid_cases PASSED [ 69%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_tools.py::TestValidateMatrixShape::test_invalid_cases PASSED [ 69%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_tools.py::TestValidateVectorShape::test_valid_cases PASSED [ 69%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_tools.py::TestValidateVectorShape::test_invalid_cases PASSED [ 69%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_tools.py::test_multivariate_acovf PASSED [ 69%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_tools.py::test_multivariate_pacf PASSED [ 69%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_tools.py::TestConstrainStationaryMultivariate::test_cases PASSED [ 69%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_tools.py::TestUnconstrainStationaryMultivariate::test_cases PASSED [ 69%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_tools.py::TestStationaryMultivariate::test_cases PASSED [ 69%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_tools.py::test_reorder_matrix_rows PASSED [ 69%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_tools.py::test_reorder_matrix_cols PASSED [ 69%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_tools.py::test_reorder_submatrix PASSED [ 69%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_tools.py::test_reorder_diagonal_submatrix PASSED [ 69%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_tools.py::test_reorder_vector PASSED [ 69%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_tools.py::test_copy_missing_matrix_rows PASSED [ 69%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_tools.py::test_copy_missing_matrix_cols PASSED [ 69%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_tools.py::test_copy_missing_submatrix PASSED [ 69%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_tools.py::test_copy_missing_diagonal_submatrix PASSED [ 69%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_tools.py::test_copy_missing_vector PASSED [ 69%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_tools.py::test_copy_index_matrix_rows PASSED [ 69%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_tools.py::test_copy_index_matrix_cols PASSED [ 69%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_tools.py::test_copy_index_submatrix PASSED [ 69%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_tools.py::test_copy_index_diagonal_submatrix PASSED [ 69%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_tools.py::test_copy_index_vector PASSED [ 69%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989::test_using_univariate PASSED [ 69%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989::test_forecasts PASSED [ 69%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989::test_forecasts_error PASSED [ 69%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989::test_forecasts_error_cov PASSED [ 69%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989::test_filtered_state PASSED [ 69%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989::test_filtered_state_cov PASSED [ 69%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989::test_predicted_state PASSED [ 69%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989::test_predicted_state_cov PASSED [ 69%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989::test_loglike PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989::test_smoothed_states PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989::test_smoothed_states_cov PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989::test_smoothed_measurement_disturbance PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989::test_smoothed_measurement_disturbance_cov PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989::test_smoothed_state_disturbance PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989::test_smoothed_state_disturbance_cov PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989::test_simulation_smoothed_state PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989::test_simulation_smoothed_measurement_disturbance PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989::test_simulation_smoothed_state_disturbance PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989Alternate::test_using_univariate PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989Alternate::test_forecasts PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989Alternate::test_forecasts_error PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989Alternate::test_forecasts_error_cov PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989Alternate::test_filtered_state PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989Alternate::test_filtered_state_cov PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989Alternate::test_predicted_state PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989Alternate::test_predicted_state_cov PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989Alternate::test_loglike PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989Alternate::test_smoothed_states PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989Alternate::test_smoothed_states_cov PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989Alternate::test_smoothed_measurement_disturbance PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989Alternate::test_smoothed_measurement_disturbance_cov PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989Alternate::test_smoothed_state_disturbance PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989Alternate::test_smoothed_state_disturbance_cov PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989Alternate::test_simulation_smoothed_state PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989Alternate::test_simulation_smoothed_measurement_disturbance PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989Alternate::test_simulation_smoothed_state_disturbance PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989Alternate::test_using_alterate PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateGeneralObsCov::test_using_univariate PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateGeneralObsCov::test_forecasts PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateGeneralObsCov::test_forecasts_error PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateGeneralObsCov::test_forecasts_error_cov PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateGeneralObsCov::test_filtered_state PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateGeneralObsCov::test_filtered_state_cov PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateGeneralObsCov::test_predicted_state PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateGeneralObsCov::test_predicted_state_cov PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateGeneralObsCov::test_loglike PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateGeneralObsCov::test_smoothed_states PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateGeneralObsCov::test_smoothed_states_cov PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateGeneralObsCov::test_smoothed_measurement_disturbance SKIPPED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateGeneralObsCov::test_smoothed_measurement_disturbance_cov SKIPPED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateGeneralObsCov::test_smoothed_state_disturbance PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateGeneralObsCov::test_smoothed_state_disturbance_cov PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateGeneralObsCov::test_simulation_smoothed_state PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateGeneralObsCov::test_simulation_smoothed_measurement_disturbance SKIPPED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateGeneralObsCov::test_simulation_smoothed_state_disturbance PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateAllMissingGeneralObsCov::test_using_univariate PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateAllMissingGeneralObsCov::test_forecasts PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateAllMissingGeneralObsCov::test_forecasts_error PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateAllMissingGeneralObsCov::test_forecasts_error_cov PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateAllMissingGeneralObsCov::test_filtered_state PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateAllMissingGeneralObsCov::test_filtered_state_cov PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateAllMissingGeneralObsCov::test_predicted_state PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateAllMissingGeneralObsCov::test_predicted_state_cov PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateAllMissingGeneralObsCov::test_loglike PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateAllMissingGeneralObsCov::test_smoothed_states PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateAllMissingGeneralObsCov::test_smoothed_states_cov PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateAllMissingGeneralObsCov::test_smoothed_measurement_disturbance SKIPPED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateAllMissingGeneralObsCov::test_smoothed_measurement_disturbance_cov SKIPPED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateAllMissingGeneralObsCov::test_smoothed_state_disturbance PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateAllMissingGeneralObsCov::test_smoothed_state_disturbance_cov PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateAllMissingGeneralObsCov::test_simulation_smoothed_state PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateAllMissingGeneralObsCov::test_simulation_smoothed_measurement_disturbance SKIPPED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateAllMissingGeneralObsCov::test_simulation_smoothed_state_disturbance PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariatePartialMissingGeneralObsCov::test_using_univariate PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariatePartialMissingGeneralObsCov::test_forecasts_error_cov PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariatePartialMissingGeneralObsCov::test_filtered_state PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariatePartialMissingGeneralObsCov::test_filtered_state_cov PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariatePartialMissingGeneralObsCov::test_predicted_state PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariatePartialMissingGeneralObsCov::test_predicted_state_cov PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariatePartialMissingGeneralObsCov::test_loglike PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariatePartialMissingGeneralObsCov::test_smoothed_states PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariatePartialMissingGeneralObsCov::test_smoothed_states_cov PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariatePartialMissingGeneralObsCov::test_smoothed_measurement_disturbance SKIPPED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariatePartialMissingGeneralObsCov::test_smoothed_measurement_disturbance_cov SKIPPED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariatePartialMissingGeneralObsCov::test_smoothed_state_disturbance PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariatePartialMissingGeneralObsCov::test_smoothed_state_disturbance_cov PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariatePartialMissingGeneralObsCov::test_simulation_smoothed_state PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariatePartialMissingGeneralObsCov::test_simulation_smoothed_measurement_disturbance SKIPPED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariatePartialMissingGeneralObsCov::test_simulation_smoothed_state_disturbance PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariatePartialMissingGeneralObsCov::test_forecasts PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariatePartialMissingGeneralObsCov::test_forecasts_error PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateMixedMissingGeneralObsCov::test_using_univariate PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateMixedMissingGeneralObsCov::test_forecasts_error_cov PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateMixedMissingGeneralObsCov::test_filtered_state PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateMixedMissingGeneralObsCov::test_filtered_state_cov PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateMixedMissingGeneralObsCov::test_predicted_state PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateMixedMissingGeneralObsCov::test_predicted_state_cov PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateMixedMissingGeneralObsCov::test_loglike PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateMixedMissingGeneralObsCov::test_smoothed_states PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateMixedMissingGeneralObsCov::test_smoothed_states_cov PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateMixedMissingGeneralObsCov::test_smoothed_measurement_disturbance SKIPPED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateMixedMissingGeneralObsCov::test_smoothed_measurement_disturbance_cov SKIPPED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateMixedMissingGeneralObsCov::test_smoothed_state_disturbance PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateMixedMissingGeneralObsCov::test_smoothed_state_disturbance_cov PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateMixedMissingGeneralObsCov::test_simulation_smoothed_state PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateMixedMissingGeneralObsCov::test_simulation_smoothed_measurement_disturbance SKIPPED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateMixedMissingGeneralObsCov::test_simulation_smoothed_state_disturbance PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateMixedMissingGeneralObsCov::test_forecasts PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateMixedMissingGeneralObsCov::test_forecasts_error PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateVAR::test_forecasts PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateVAR::test_forecasts_error PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateVAR::test_forecasts_error_cov PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateVAR::test_filtered_state PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateVAR::test_filtered_state_cov PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateVAR::test_predicted_state PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateVAR::test_predicted_state_cov PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateVAR::test_loglike PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateVAR::test_smoothed_states PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateVAR::test_smoothed_states_cov PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateVAR::test_smoothed_measurement_disturbance SKIPPED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateVAR::test_smoothed_measurement_disturbance_cov SKIPPED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateVAR::test_smoothed_state_disturbance PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateVAR::test_smoothed_state_disturbance_cov PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateVAR::test_simulation_smoothed_state PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateVAR::test_simulation_smoothed_measurement_disturbance SKIPPED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateVAR::test_simulation_smoothed_state_disturbance PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::test_time_varying_transition PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_var.py::test_var_basic PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_var.py::test_var_c PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_var.py::test_var_ct PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_var.py::test_var_ct_as_exog0 PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_var.py::test_var_ct_as_exog1 PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_var.py::test_var_ctt PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_var.py::test_var_ct_exog PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_var.py::test_var_c_2exog PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR::test_mle PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR::test_params PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR::test_results PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR::test_loglike PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR::test_aic PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR::test_bic PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR::test_standardized_forecasts_error PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR::test_predict PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR::test_dynamic_predict PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR::test_bse_approx PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR::test_bse_oim PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR::test_summary PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_diagonal::test_mle PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_diagonal::test_params PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_diagonal::test_results PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_diagonal::test_loglike PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_diagonal::test_aic PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_diagonal::test_bic PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_diagonal::test_standardized_forecasts_error PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_diagonal::test_predict PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_diagonal::test_dynamic_predict PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_diagonal::test_bse_approx PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_diagonal::test_bse_oim PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_diagonal::test_summary PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_measurement_error::test_params PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_measurement_error::test_results PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_measurement_error::test_loglike PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_measurement_error::test_standardized_forecasts_error PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_measurement_error::test_predict PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_measurement_error::test_dynamic_predict PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_measurement_error::test_mle PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_measurement_error::test_bse_approx PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_measurement_error::test_bse_oim PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_measurement_error::test_aic PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_measurement_error::test_bic PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_measurement_error::test_representation PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_measurement_error::test_summary PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_obs_intercept::test_mle PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_obs_intercept::test_params PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_obs_intercept::test_results PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_obs_intercept::test_loglike PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_obs_intercept::test_standardized_forecasts_error PASSED [ 70%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_obs_intercept::test_predict PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_obs_intercept::test_dynamic_predict PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_obs_intercept::test_bse_approx PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_obs_intercept::test_bse_oim PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_obs_intercept::test_aic PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_obs_intercept::test_bic PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_exog::test_params PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_exog::test_results PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_exog::test_loglike PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_exog::test_standardized_forecasts_error PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_exog::test_mle PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_exog::test_aic PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_exog::test_bic PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_exog::test_bse_approx PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_exog::test_bse_oim PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_exog::test_predict PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_exog::test_dynamic_predict PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_exog::test_forecast PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_exog::test_summary PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_exog2::test_params PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_exog2::test_results PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_exog2::test_loglike PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_exog2::test_standardized_forecasts_error PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_exog2::test_mle PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_exog2::test_aic PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_exog2::test_bic PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_exog2::test_bse_approx PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_exog2::test_bse_oim PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_exog2::test_predict PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_exog2::test_dynamic_predict PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_exog2::test_forecast PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR2::test_mle PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR2::test_params PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR2::test_results PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR2::test_loglike PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR2::test_aic PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR2::test_bic PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR2::test_standardized_forecasts_error PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR2::test_predict PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR2::test_dynamic_predict PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR2::test_bse_approx PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR2::test_bse_oim PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR2::test_summary PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVARMA::test_params PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVARMA::test_results PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVARMA::test_loglike PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVARMA::test_standardized_forecasts_error PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVARMA::test_mle PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVARMA::test_bse_approx SKIPPED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVARMA::test_bse_oim SKIPPED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVARMA::test_aic PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVARMA::test_bic PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVARMA::test_predict PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVARMA::test_dynamic_predict PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVARMA::test_summary PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVMA1::test_params PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVMA1::test_results PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVMA1::test_loglike PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVMA1::test_standardized_forecasts_error PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVMA1::test_mle PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVMA1::test_bse_approx SKIPPED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVMA1::test_bse_oim SKIPPED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVMA1::test_aic PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVMA1::test_bic PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVMA1::test_predict PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVMA1::test_dynamic_predict PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::test_specifications PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::test_misspecifications PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::test_misc_exog PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::test_predict_custom_index PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::test_forecast_exog PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::test_recreate_model PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::test_append_results PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::test_extend_results[True-n] PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::test_extend_results[True-c] PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::test_extend_results[True-ct] PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::test_extend_results[False-n] PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::test_extend_results[False-c] PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::test_extend_results[False-ct] PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::test_extend_results_exog PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::test_apply_results PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::test_vma1_exog PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::test_param_names_trend PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_adfuller_lag.py::test_adf_autolag PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-bse] PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-llf] PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-params] PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-resid] PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-scale] PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-bse] PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-cov_params] PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-df_model] PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-df_resid] PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-llf] PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-nobs] PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-params] PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-resid] PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-scale] PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-tvalues] PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-use_t] PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-params] PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-bse] PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-df_model] PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-llf] PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-nobs] PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-params] PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-resid] PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-scale] PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-use_t] PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-bse] PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-llf] PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-params] PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-resid] PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-scale] PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-bse] PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-cov_params] PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-df_model] PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-df_resid] PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-llf] PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-nobs] PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-params] PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-resid] PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-scale] PASSED [ 71%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-tvalues] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-use_t] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-params] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-bse] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-df_model] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-llf] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-nobs] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-params] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-resid] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-scale] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-use_t] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-bse] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-llf] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-params] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-resid] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-scale] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-bse] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-cov_params] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-df_model] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-df_resid] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-llf] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-nobs] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-params] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-resid] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-scale] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-tvalues] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-use_t] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-params] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-bse] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-df_model] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-llf] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-nobs] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-params] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-resid] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-scale] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-use_t] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-bse] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-llf] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-params] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-resid] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-scale] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-bse] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-cov_params] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-df_model] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-df_resid] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-llf] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-nobs] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-params] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-resid] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-scale] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-tvalues] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-use_t] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-params] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-bse] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-df_model] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-llf] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-nobs] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-params] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-resid] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-scale] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-use_t] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-params] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 72%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-bse] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-df_model] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-llf] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-nobs] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-params] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-resid] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-scale] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-use_t] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-bse] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-llf] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-params] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-resid] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-scale] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-bse] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-cov_params] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-df_model] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-df_resid] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-llf] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-nobs] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-params] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-resid] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-scale] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-tvalues] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-use_t] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-params] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-bse] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-df_model] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-llf] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-nobs] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-params] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-resid] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-scale] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-use_t] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-bse] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-llf] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-params] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-resid] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-scale] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-bse] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-cov_params] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-df_model] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-df_resid] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-llf] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-nobs] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-params] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-resid] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-scale] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-tvalues] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-use_t] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-params] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-bse] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-df_model] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-llf] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-nobs] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-params] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-resid] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-scale] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-use_t] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-bse] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-llf] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-params] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-resid] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-scale] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-bse] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-cov_params] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-df_model] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-df_resid] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-llf] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-nobs] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-params] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-resid] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-scale] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-tvalues] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-use_t] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 73%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-params] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-bse] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-df_model] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-llf] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-nobs] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-params] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-resid] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-scale] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-use_t] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-bse] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-llf] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-params] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-resid] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-scale] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-bse] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-cov_params] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-df_model] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-df_resid] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-llf] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-nobs] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-params] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-resid] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-scale] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-tvalues] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-use_t] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-params] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-bse] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-df_model] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-llf] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-nobs] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-params] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-resid] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-scale] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-use_t] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-bse] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-llf] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-params] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-resid] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-scale] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-bse] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-cov_params] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-df_model] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-df_resid] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-llf] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-nobs] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-params] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-resid] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-scale] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-tvalues] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-use_t] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-params] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-bse] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-df_model] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-llf] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-nobs] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-params] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-resid] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-scale] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-use_t] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-bse] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-llf] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-params] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-resid] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-scale] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-bse] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-cov_params] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-df_model] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-df_resid] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-llf] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-nobs] PASSED [ 74%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-params] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-resid] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-scale] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-tvalues] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-use_t] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-params] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-bse] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-df_model] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-llf] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-nobs] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-params] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-resid] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-scale] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-use_t] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-bse] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-llf] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-params] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-resid] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-scale] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-bse] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-cov_params] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-df_model] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-df_resid] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-llf] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-nobs] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-params] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-resid] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-scale] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-tvalues] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-use_t] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-params] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-bse] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-df_model] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-llf] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-nobs] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-params] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-resid] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-scale] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-use_t] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-bse] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-llf] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-params] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-resid] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-scale] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-bse] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-cov_params] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-df_model] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-df_resid] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-llf] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-nobs] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-params] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-resid] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-scale] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-tvalues] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-use_t] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-params] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-bse] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-df_model] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-llf] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-nobs] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-params] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-resid] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-scale] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-use_t] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-bse] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-llf] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-params] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-resid] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-scale] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 75%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-bse] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-cov_params] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-df_model] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-df_resid] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-llf] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-nobs] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-params] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-resid] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-scale] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-tvalues] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-use_t] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-params] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-bse] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-df_model] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-llf] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-nobs] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-params] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-resid] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-scale] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-use_t] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-bse] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-llf] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-params] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-resid] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-scale] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-bse] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-cov_params] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-df_model] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-df_resid] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-llf] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-nobs] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-params] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-resid] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-scale] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-tvalues] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-use_t] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-params] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-bse] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-df_model] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-llf] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-nobs] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-params] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-resid] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-scale] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-use_t] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-bse] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-llf] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-params] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-resid] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-scale] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-bse] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-cov_params] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-df_model] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-df_resid] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-llf] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-nobs] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-params] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-resid] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-scale] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-tvalues] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-use_t] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-params] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-bse] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-df_model] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-llf] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-nobs] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-params] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-resid] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-scale] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-use_t] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 76%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-bse] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-llf] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-params] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-resid] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-scale] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-bse] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-cov_params] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-df_model] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-df_resid] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-llf] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-nobs] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-params] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-resid] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-scale] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-tvalues] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-use_t] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-params] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-bse] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-df_model] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-llf] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-nobs] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-params] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-resid] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-scale] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-use_t] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-bse] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-llf] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-params] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-resid] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-scale] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-bse] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-cov_params] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-df_model] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-df_resid] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-llf] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-nobs] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-params] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-resid] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-scale] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-tvalues] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-use_t] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-params] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-bse] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-df_model] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-llf] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-nobs] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-params] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-resid] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-scale] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-use_t] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-bse] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-llf] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-params] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-resid] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-scale] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-bse] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-cov_params] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-df_model] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-df_resid] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-llf] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-nobs] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-params] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-resid] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-scale] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-tvalues] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-use_t] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-params] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-bse] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-df_model] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 77%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-llf] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-nobs] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-params] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-resid] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-scale] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-use_t] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-bse] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-llf] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-params] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-resid] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-scale] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-bse] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-cov_params] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-df_model] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-df_resid] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-llf] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-nobs] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-params] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-resid] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-scale] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-tvalues] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-use_t] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-params] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-bse] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-df_model] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-llf] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-nobs] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-params] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-resid] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-scale] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-use_t] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-bse] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-llf] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-params] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-resid] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-scale] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-bse] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-cov_params] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-df_model] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-df_resid] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-llf] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-nobs] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-params] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-resid] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-scale] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-tvalues] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-use_t] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-params] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-bse] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-df_model] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-llf] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-nobs] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-params] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-resid] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-scale] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-use_t] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-bse] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-llf] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-params] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-resid] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-scale] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-bse] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-cov_params] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-df_model] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-df_resid] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-llf] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-nobs] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-params] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-resid] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-scale] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-tvalues] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-use_t] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-params] PASSED [ 78%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-bse] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-df_model] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-llf] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-nobs] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-params] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-resid] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-scale] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-use_t] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-bse] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-llf] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-params] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-resid] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-scale] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-bse] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-cov_params] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-df_model] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-df_resid] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-llf] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-nobs] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-params] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-resid] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-scale] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-tvalues] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-use_t] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-params] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-bse] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-df_model] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-llf] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-nobs] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-params] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-resid] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-scale] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-use_t] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-bse] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-llf] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-params] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-resid] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-scale] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-bse] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-cov_params] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-df_model] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-df_resid] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-llf] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-nobs] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-params] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-resid] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-scale] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-tvalues] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-use_t] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-params] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-bse] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-df_model] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-llf] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-nobs] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-params] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-resid] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-scale] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-use_t] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-bse] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-llf] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-params] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-resid] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-scale] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-bse] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-cov_params] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-df_model] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-df_resid] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-llf] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-nobs] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-params] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-resid] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-scale] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-tvalues] PASSED [ 79%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-use_t] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-params] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-bse] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-df_model] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-llf] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-nobs] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-params] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-resid] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-scale] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-use_t] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-bse] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-llf] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-params] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-resid] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-scale] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-bse] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-cov_params] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-df_model] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-df_resid] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-llf] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-nobs] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-params] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-resid] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-scale] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-tvalues] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-use_t] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-params] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-bse] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-df_model] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-llf] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-nobs] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-params] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-resid] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-scale] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-use_t] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-bse] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-llf] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-params] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-resid] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-scale] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-bse] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-cov_params] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-df_model] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-df_resid] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-llf] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-nobs] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-params] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-resid] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-scale] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-tvalues] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-use_t] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-params] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-bse] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-df_model] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-llf] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-nobs] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-params] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-resid] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-scale] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-use_t] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-bse] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-llf] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-params] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-resid] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-scale] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 80%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-bse] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-cov_params] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-df_model] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-df_resid] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-llf] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-nobs] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-params] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-resid] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-scale] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-tvalues] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-use_t] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-params] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-bse] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-df_model] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-llf] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-nobs] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-params] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-resid] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-scale] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-use_t] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-bse] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-llf] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-params] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-resid] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-scale] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-bse] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-cov_params] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-df_model] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-df_resid] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-llf] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-nobs] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-params] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-resid] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-scale] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-tvalues] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-use_t] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-params] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-bse] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-df_model] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-llf] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-nobs] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-params] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-resid] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-scale] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-use_t] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-bse] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-llf] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-params] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-resid] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-scale] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-bse] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-cov_params] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-df_model] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-df_resid] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-llf] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-nobs] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-params] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-resid] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-scale] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-tvalues] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-use_t] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-params] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-bse] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-df_model] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-llf] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-nobs] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-params] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-resid] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-scale] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-use_t] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-bse] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 81%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-llf] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-params] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-resid] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-scale] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-bse] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-cov_params] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-df_model] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-df_resid] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-llf] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-nobs] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-params] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-resid] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-scale] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-tvalues] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-use_t] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-params] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-bse] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-df_model] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-llf] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-nobs] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-params] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-resid] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-scale] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-use_t] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-bse] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-llf] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-params] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-resid] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-scale] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-bse] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-cov_params] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-df_model] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-df_resid] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-llf] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-nobs] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-params] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-resid] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-scale] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-tvalues] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-use_t] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-params] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-bse] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-df_model] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-llf] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-nobs] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-params] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-resid] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-scale] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-use_t] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_smoke_plots[lags: 0, trend: c, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back: None] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_smoke_plots[lags: 0, trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back: 12] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_smoke_plots[lags: 0, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back: None] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_smoke_plots[lags: 0, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back: 12] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_smoke_plots[lags: 0, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back: None] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_smoke_plots[lags: 3, trend: c, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back: 12] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_smoke_plots[lags: 3, trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back: None] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_smoke_plots[lags: 3, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back: 12] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_smoke_plots[lags: 3, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back: None] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_smoke_plots[lags: 3, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back: 12] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_smoke_plots[lags: [1, 3], trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back: None] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_smoke_plots[lags: [1, 3], trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back: 12] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_smoke_plots[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back: None] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_smoke_plots[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back: 12] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 82%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 83%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 84%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 85%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 86%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 87%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 88%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 89%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 90%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 91%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 92%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_parameterless_autoreg PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_predict_errors PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_spec_errors PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_ar_select_order_smoke PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::TestAutoRegOLSConstant::test_params PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::TestAutoRegOLSConstant::test_llf PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::TestAutoRegOLSConstant::test_fpe PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::TestAutoRegOLSConstant::test_pickle PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::TestAutoRegOLSConstant::test_summary PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::TestAutoRegOLSConstant::test_pvalues PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::TestAutoRegOLSConstant::test_bse PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::TestAutoRegOLSConstant::test_predict PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::TestAutoRegOLSNoConstant::test_params PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::TestAutoRegOLSNoConstant::test_llf PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::TestAutoRegOLSNoConstant::test_fpe PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::TestAutoRegOLSNoConstant::test_pickle PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::TestAutoRegOLSNoConstant::test_summary PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::TestAutoRegOLSNoConstant::test_pvalues PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::TestAutoRegOLSNoConstant::test_bse PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::TestAutoRegOLSNoConstant::test_predict PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_info_criterion[lag0] PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_info_criterion[lag1] PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_info_criterion[lag2] PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_info_criterion[lag3] PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_info_criterion[lag4] PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_info_criterion[lag5] PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_info_criterion[lag6] PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_info_criterion[lag7] PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_info_criterion[lag8] PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_info_criterion[lag9] PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_info_criterion[lag10] PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_info_criterion[lag11] PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_info_criterion[lag12] PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_info_criterion[lag13] PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_info_criterion[lag14] PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_info_criterion[lag15] PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_named_series[True] PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_named_series[False] PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_series PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_ar_order_select PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_constant_column_trend PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_summary_corner[True] PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_summary_corner[False] PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_score PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_roots PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_dynamic PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_against_sarimax PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_predict_seasonal PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_predict_exog PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_predict_irregular_ar PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_forecast_start_end_equiv[True] PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_forecast_start_end_equiv[False] PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_start[21] PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_start[25] PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_deterministic PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_forecast_equiv PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_forecast_period_index PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_plot_err PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_resids PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_predictions PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_predictions_oos PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_invalid_dynamic PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_exog_prediction PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_old_names PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_diagnostic_summary_short PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_ar_model_predict PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_no_variables PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_removal PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_arma_acovf PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_arma_acovf_persistent PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_arma_acf PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_arma_acf_compare_R_ARMAacf PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_arma_acov_compare_theoretical_arma_acov PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_arma_generate_sample[standard_normal-ma0-ar0] PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_arma_generate_sample[standard_normal-ma0-ar1] PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_arma_generate_sample[standard_normal-ma0-ar2] PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_arma_generate_sample[standard_normal-ma0-ar3] PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_arma_generate_sample[standard_normal-ma1-ar0] PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_arma_generate_sample[standard_normal-ma1-ar1] PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_arma_generate_sample[standard_normal-ma1-ar2] PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_arma_generate_sample[standard_normal-ma1-ar3] PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_arma_generate_sample[standard_normal-ma2-ar0] PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_arma_generate_sample[standard_normal-ma2-ar1] PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_arma_generate_sample[standard_normal-ma2-ar2] PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_arma_generate_sample[standard_normal-ma2-ar3] PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_arma_generate_sample[standard_normal-ma3-ar0] PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_arma_generate_sample[standard_normal-ma3-ar1] PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_arma_generate_sample[standard_normal-ma3-ar2] PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_arma_generate_sample[standard_normal-ma3-ar3] PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_fi PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_arma_impulse_response PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_spectrum[ma0-ar0] PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_spectrum[ma0-ar1] PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_spectrum[ma0-ar2] PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_spectrum[ma0-ar3] PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_spectrum[ma1-ar0] PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_spectrum[ma1-ar1] PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_spectrum[ma1-ar2] PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_spectrum[ma1-ar3] PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_spectrum[ma2-ar0] PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_spectrum[ma2-ar1] PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_spectrum[ma2-ar2] PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_spectrum[ma2-ar3] PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_spectrum[ma3-ar0] PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_spectrum[ma3-ar1] PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_spectrum[ma3-ar2] PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_spectrum[ma3-ar3] PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_armafft[ma0-ar0] PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_armafft[ma0-ar1] PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_armafft[ma0-ar2] PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_armafft[ma0-ar3] PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_armafft[ma1-ar0] PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_armafft[ma1-ar1] PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_armafft[ma1-ar2] PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_armafft[ma1-ar3] PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_armafft[ma2-ar0] PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_armafft[ma2-ar1] PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_armafft[ma2-ar2] PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_armafft[ma2-ar3] PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_armafft[ma3-ar0] PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_armafft[ma3-ar1] PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_armafft[ma3-ar2] PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_armafft[ma3-ar3] PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_lpol2index_index2lpol PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::TestArmaProcess::test_empty_coeff PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::TestArmaProcess::test_from_roots PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::TestArmaProcess::test_from_coeff PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::TestArmaProcess::test_process_multiplication PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::TestArmaProcess::test_str_repr PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::TestArmaProcess::test_acf PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::TestArmaProcess::test_pacf PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::TestArmaProcess::test_isstationary PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::TestArmaProcess::test_arma2ar PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::TestArmaProcess::test_invertroots PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::TestArmaProcess::test_generate_sample PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::TestArmaProcess::test_impulse_response PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::TestArmaProcess::test_periodogram PASSED [ 93%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_from_estimation[True-0] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_from_estimation[True-1] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_bds.py::TestBDSSequence::test_stat PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_bds.py::TestBDSSequence::test_pvalue PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_bds.py::TestBDSNormal::test_stat PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_bds.py::TestBDSNormal::test_pvalue PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_bds.py::TestBDSCombined::test_stat PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_bds.py::TestBDSCombined::test_pvalue PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_bds.py::TestBDSGDPC1::test_stat PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_bds.py::TestBDSGDPC1::test_pvalue PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_time_trend_smoke[range-None] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_seasonality_smoke[range-None] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_fourier_smoke[range-None] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_time_trend_smoke[period-None] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_seasonality_smoke[period-None] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_fourier_smoke[period-None] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_time_trend_smoke[period-period] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_seasonality_smoke[period-period] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_fourier_smoke[period-period] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_time_trend_smoke[range-period] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_seasonality_smoke[range-period] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_fourier_smoke[range-period] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_time_trend_smoke[datetime-period] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_seasonality_smoke[datetime-period] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_fourier_smoke[datetime-period] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_time_trend_smoke[datetime-None] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_seasonality_smoke[datetime-None] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_fourier_smoke[datetime-None] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_time_trend_smoke[datetime-False] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_seasonality_smoke[datetime-False] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_fourier_smoke[datetime-False] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_time_trend_smoke[period-False] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_seasonality_smoke[period-False] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_fourier_smoke[period-False] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_time_trend_smoke[range-False] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_seasonality_smoke[range-False] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_fourier_smoke[range-False] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_time_trend_smoke[fib-False] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_seasonality_smoke[fib-False] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_fourier_smoke[fib-False] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_time_trend_smoke[fib-period] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_seasonality_smoke[fib-period] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_fourier_smoke[fib-period] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_time_trend_smoke[fib-None] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_seasonality_smoke[fib-None] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_fourier_smoke[fib-None] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_time_trend_smoke[fib-list] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_seasonality_smoke[fib-list] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_fourier_smoke[fib-list] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_time_trend_smoke[datetime-list] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_seasonality_smoke[datetime-list] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_fourier_smoke[datetime-list] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_time_trend_smoke[period-list] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_seasonality_smoke[period-list] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_fourier_smoke[period-list] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_time_trend_smoke[range-list] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_seasonality_smoke[range-list] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_fourier_smoke[range-list] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_time_trend_smoke[int64-list] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_seasonality_smoke[int64-list] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_fourier_smoke[int64-list] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_time_trend_smoke[int64-False] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_seasonality_smoke[int64-False] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_fourier_smoke[int64-False] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_time_trend_smoke[int64-period] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_seasonality_smoke[int64-period] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_fourier_smoke[int64-period] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_time_trend_smoke[int64-None] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_seasonality_smoke[int64-None] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_fourier_smoke[int64-None] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_invalid_formcast_index[int64] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_time_trend[int64] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_seasonality[int64] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_fourier[int64] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_time_trend_smoke[True-list] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_fourier_smoke[True-list] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[True-list-freq_period0] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[True-list-freq_period1] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[True-list-freq_period2] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[True-list-freq_period3] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[True-list-freq_period4] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[True-list-freq_period5] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[True-list-freq_period6] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_time_trend_smoke[True-False] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_fourier_smoke[True-False] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[True-False-freq_period0] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[True-False-freq_period1] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[True-False-freq_period2] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[True-False-freq_period3] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[True-False-freq_period4] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[True-False-freq_period5] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[True-False-freq_period6] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_time_trend_smoke[True-period] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_fourier_smoke[True-period] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[True-period-freq_period0] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[True-period-freq_period1] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[True-period-freq_period2] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[True-period-freq_period3] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[True-period-freq_period4] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[True-period-freq_period5] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[True-period-freq_period6] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_time_trend_smoke[True-None] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_fourier_smoke[True-None] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[True-None-freq_period0] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[True-None-freq_period1] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[True-None-freq_period2] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[True-None-freq_period3] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[True-None-freq_period4] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[True-None-freq_period5] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[True-None-freq_period6] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_time_trend_base[True] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_invalid_freq_period[True] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_seasonality_time_index[True] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-True-None-0-True-0-True] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-True-None-0-True-0-False] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-True-None-0-True-1-True] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-True-None-0-True-1-False] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-True-None-0-False-0-True] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-True-None-0-False-0-False] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-True-None-0-False-1-True] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-True-None-0-False-1-False] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-True-None-1-True-0-True] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-True-None-1-True-0-False] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-True-None-1-True-1-True] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-True-None-1-True-1-False] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-True-None-1-False-0-True] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-True-None-1-False-0-False] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-True-None-1-False-1-True] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-True-None-1-False-1-False] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-True-10-0-True-0-True] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-True-10-0-True-0-False] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-True-10-0-True-1-True] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-True-10-0-True-1-False] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-True-10-0-False-0-True] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-True-10-0-False-0-False] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-True-10-0-False-1-True] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-True-10-0-False-1-False] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-True-10-1-True-0-True] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-True-10-1-True-0-False] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-True-10-1-True-1-True] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-True-10-1-True-1-False] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-True-10-1-False-0-True] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-True-10-1-False-0-False] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-True-10-1-False-1-True] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-True-10-1-False-1-False] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-False-None-0-True-0-True] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-False-None-0-True-0-False] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-False-None-0-True-1-True] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-False-None-0-True-1-False] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-False-None-0-False-0-True] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-False-None-0-False-0-False] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-False-None-0-False-1-True] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-False-None-0-False-1-False] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-False-None-1-True-0-True] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-False-None-1-True-0-False] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-False-None-1-True-1-True] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-False-None-1-True-1-False] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-False-None-1-False-0-True] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-False-None-1-False-0-False] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-False-None-1-False-1-True] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-False-None-1-False-1-False] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-False-10-0-True-0-True] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-False-10-0-True-0-False] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-False-10-0-True-1-True] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-False-10-0-True-1-False] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-False-10-0-False-0-True] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-False-10-0-False-0-False] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-False-10-0-False-1-True] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-False-10-0-False-1-False] PASSED [ 94%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-False-10-1-True-0-True] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-False-10-1-True-0-False] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-False-10-1-True-1-True] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-False-10-1-True-1-False] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-False-10-1-False-0-True] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-False-10-1-False-0-False] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-False-10-1-False-1-True] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-False-10-1-False-1-False] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process_errors[True] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_additional_terms[True] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_drop_two_consants[True] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_time_trend_smoke[False-list] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_fourier_smoke[False-list] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[False-list-freq_period0] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[False-list-freq_period1] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[False-list-freq_period2] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[False-list-freq_period3] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[False-list-freq_period4] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[False-list-freq_period5] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[False-list-freq_period6] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_time_trend_smoke[False-False] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_fourier_smoke[False-False] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[False-False-freq_period0] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[False-False-freq_period1] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[False-False-freq_period2] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[False-False-freq_period3] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[False-False-freq_period4] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[False-False-freq_period5] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[False-False-freq_period6] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_time_trend_smoke[False-period] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_fourier_smoke[False-period] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[False-period-freq_period0] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[False-period-freq_period1] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[False-period-freq_period2] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[False-period-freq_period3] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[False-period-freq_period4] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[False-period-freq_period5] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[False-period-freq_period6] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_time_trend_smoke[False-None] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_fourier_smoke[False-None] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[False-None-freq_period0] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[False-None-freq_period1] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[False-None-freq_period2] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[False-None-freq_period3] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[False-None-freq_period4] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[False-None-freq_period5] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[False-None-freq_period6] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_time_trend_base[False] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_invalid_freq_period[False] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_seasonality_time_index[False] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-True-None-0-True-0-True] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-True-None-0-True-0-False] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-True-None-0-True-1-True] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-True-None-0-True-1-False] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-True-None-0-False-0-True] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-True-None-0-False-0-False] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-True-None-0-False-1-True] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-True-None-0-False-1-False] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-True-None-1-True-0-True] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-True-None-1-True-0-False] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-True-None-1-True-1-True] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-True-None-1-True-1-False] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-True-None-1-False-0-True] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-True-None-1-False-0-False] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-True-None-1-False-1-True] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-True-None-1-False-1-False] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-True-10-0-True-0-True] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-True-10-0-True-0-False] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-True-10-0-True-1-True] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-True-10-0-True-1-False] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-True-10-0-False-0-True] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-True-10-0-False-0-False] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-True-10-0-False-1-True] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-True-10-0-False-1-False] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-True-10-1-True-0-True] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-True-10-1-True-0-False] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-True-10-1-True-1-True] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-True-10-1-True-1-False] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-True-10-1-False-0-True] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-True-10-1-False-0-False] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-True-10-1-False-1-True] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-True-10-1-False-1-False] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-False-None-0-True-0-True] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-False-None-0-True-0-False] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-False-None-0-True-1-True] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-False-None-0-True-1-False] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-False-None-0-False-0-True] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-False-None-0-False-0-False] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-False-None-0-False-1-True] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-False-None-0-False-1-False] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-False-None-1-True-0-True] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-False-None-1-True-0-False] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-False-None-1-True-1-True] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-False-None-1-True-1-False] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-False-None-1-False-0-True] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-False-None-1-False-0-False] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-False-None-1-False-1-True] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-False-None-1-False-1-False] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-False-10-0-True-0-True] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-False-10-0-True-0-False] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-False-10-0-True-1-True] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-False-10-0-True-1-False] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-False-10-0-False-0-True] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-False-10-0-False-0-False] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-False-10-0-False-1-True] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-False-10-0-False-1-False] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-False-10-1-True-0-True] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-False-10-1-True-0-False] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-False-10-1-True-1-True] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-False-10-1-True-1-False] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-False-10-1-False-0-True] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-False-10-1-False-0-False] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-False-10-1-False-1-True] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-False-10-1-False-1-False] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process_errors[False] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_additional_terms[False] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_drop_two_consants[False] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_invalid_formcast_index[fib] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_time_trend[fib] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_seasonality[fib] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_fourier[fib] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_invalid_formcast_index[datetime] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_time_trend[datetime] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_seasonality[datetime] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_fourier[datetime] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_invalid_formcast_index[period] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_time_trend[period] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_seasonality[period] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_fourier[period] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_invalid_formcast_index[range] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_time_trend[range] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_seasonality[range] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_fourier[range] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_forbidden_index PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_check_index_type PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_unknown_freq PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_seasonal_from_index_err PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_index_like PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_fourier PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_time_trend PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonal_period_w PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonal_period_d PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonal_period_q PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonal_period_a PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_range_error PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_range_index_basic PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_range_casting PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_non_unit_range PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_determintic_term_equiv[index0] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_determintic_term_equiv[index1] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_determintic_term_equiv[index2] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_determintic_term_equiv[index3] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_drop PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_model_austouritsts[AAdN] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_model_austouritsts[AAN] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_model_austouritsts[AMdN] SKIPPED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_model_austouritsts[AMN] SKIPPED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_model_austouritsts[ANN] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_model_austouritsts[MAdN] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_model_austouritsts[MAN] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_model_austouritsts[MMdN] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_model_austouritsts[MMN] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_model_austouritsts[MNN] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_model_austouritsts[AAdA] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_model_austouritsts[AAA] PASSED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_model_austouritsts[AAdM] SKIPPED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_model_austouritsts[AAM] SKIPPED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_model_austouritsts[AMdA] SKIPPED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_model_austouritsts[AMA] SKIPPED [ 95%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_model_austouritsts[AMdM] SKIPPED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_model_austouritsts[AMM] SKIPPED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_model_austouritsts[ANA] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_model_austouritsts[ANM] SKIPPED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_model_austouritsts[MAdA] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_model_austouritsts[MAA] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_model_austouritsts[MAdM] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_model_austouritsts[MAM] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_model_austouritsts[MMdA] SKIPPED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_model_austouritsts[MMA] SKIPPED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_model_austouritsts[MMdM] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_model_austouritsts[MMM] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_model_austouritsts[MNA] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_model_austouritsts[MNM] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_smooth_vs_R[AAdN] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_smooth_vs_R[AAN] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_smooth_vs_R[AMdN] SKIPPED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_smooth_vs_R[AMN] SKIPPED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_smooth_vs_R[ANN] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_smooth_vs_R[MAdN] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_smooth_vs_R[MAN] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_smooth_vs_R[MMdN] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_smooth_vs_R[MMN] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_smooth_vs_R[MNN] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_smooth_vs_R[AAdA] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_smooth_vs_R[AAA] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_smooth_vs_R[AAdM] SKIPPED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_smooth_vs_R[AAM] SKIPPED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_smooth_vs_R[AMdA] SKIPPED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_smooth_vs_R[AMA] SKIPPED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_smooth_vs_R[AMdM] SKIPPED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_smooth_vs_R[AMM] SKIPPED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_smooth_vs_R[ANA] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_smooth_vs_R[ANM] SKIPPED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_smooth_vs_R[MAdA] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_smooth_vs_R[MAA] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_smooth_vs_R[MAdM] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_smooth_vs_R[MAM] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_smooth_vs_R[MMdA] SKIPPED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_smooth_vs_R[MMA] SKIPPED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_smooth_vs_R[MMdM] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_smooth_vs_R[MMM] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_smooth_vs_R[MNA] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_smooth_vs_R[MNM] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_residuals_vs_R[AAdN] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_residuals_vs_R[AAN] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_residuals_vs_R[AMdN] SKIPPED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_residuals_vs_R[AMN] SKIPPED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_residuals_vs_R[ANN] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_residuals_vs_R[MAdN] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_residuals_vs_R[MAN] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_residuals_vs_R[MMdN] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_residuals_vs_R[MMN] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_residuals_vs_R[MNN] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_residuals_vs_R[AAdA] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_residuals_vs_R[AAA] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_residuals_vs_R[AAdM] SKIPPED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_residuals_vs_R[AAM] SKIPPED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_residuals_vs_R[AMdA] SKIPPED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_residuals_vs_R[AMA] SKIPPED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_residuals_vs_R[AMdM] SKIPPED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_residuals_vs_R[AMM] SKIPPED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_residuals_vs_R[ANA] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_residuals_vs_R[ANM] SKIPPED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_residuals_vs_R[MAdA] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_residuals_vs_R[MAA] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_residuals_vs_R[MAdM] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_residuals_vs_R[MAM] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_residuals_vs_R[MMdA] SKIPPED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_residuals_vs_R[MMA] SKIPPED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_residuals_vs_R[MMdM] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_residuals_vs_R[MMM] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_residuals_vs_R[MNA] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_residuals_vs_R[MNM] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_loglike_vs_R[AAdN] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_loglike_vs_R[AAN] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_loglike_vs_R[AMdN] SKIPPED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_loglike_vs_R[AMN] SKIPPED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_loglike_vs_R[ANN] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_loglike_vs_R[MAdN] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_loglike_vs_R[MAN] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_loglike_vs_R[MMdN] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_loglike_vs_R[MMN] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_loglike_vs_R[MNN] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_loglike_vs_R[AAdA] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_loglike_vs_R[AAA] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_loglike_vs_R[AAdM] SKIPPED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_loglike_vs_R[AAM] SKIPPED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_loglike_vs_R[AMdA] SKIPPED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_loglike_vs_R[AMA] SKIPPED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_loglike_vs_R[AMdM] SKIPPED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_loglike_vs_R[AMM] SKIPPED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_loglike_vs_R[ANA] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_loglike_vs_R[ANM] SKIPPED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_loglike_vs_R[MAdA] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_loglike_vs_R[MAA] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_loglike_vs_R[MAdM] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_loglike_vs_R[MAM] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_loglike_vs_R[MMdA] SKIPPED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_loglike_vs_R[MMA] SKIPPED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_loglike_vs_R[MMdM] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_loglike_vs_R[MMM] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_loglike_vs_R[MNA] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_loglike_vs_R[MNM] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_forecast_vs_R[AAdN] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_forecast_vs_R[AAN] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_forecast_vs_R[AMdN] SKIPPED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_forecast_vs_R[AMN] SKIPPED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_forecast_vs_R[ANN] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_forecast_vs_R[MAdN] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_forecast_vs_R[MAN] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_forecast_vs_R[MMdN] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_forecast_vs_R[MMN] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_forecast_vs_R[MNN] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_forecast_vs_R[AAdA] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_forecast_vs_R[AAA] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_forecast_vs_R[AAdM] SKIPPED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_forecast_vs_R[AAM] SKIPPED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_forecast_vs_R[AMdA] SKIPPED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_forecast_vs_R[AMA] SKIPPED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_forecast_vs_R[AMdM] SKIPPED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_forecast_vs_R[AMM] SKIPPED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_forecast_vs_R[ANA] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_forecast_vs_R[ANM] SKIPPED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_forecast_vs_R[MAdA] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_forecast_vs_R[MAA] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_forecast_vs_R[MAdM] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_forecast_vs_R[MAM] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_forecast_vs_R[MMdA] SKIPPED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_forecast_vs_R[MMA] SKIPPED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_forecast_vs_R[MMdM] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_forecast_vs_R[MMM] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_forecast_vs_R[MNA] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_forecast_vs_R[MNM] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_simulate_vs_R[AAdN] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_simulate_vs_R[AAN] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_simulate_vs_R[AMdN] SKIPPED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_simulate_vs_R[AMN] SKIPPED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_simulate_vs_R[ANN] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_simulate_vs_R[MAdN] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_simulate_vs_R[MAN] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_simulate_vs_R[MMdN] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_simulate_vs_R[MMN] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_simulate_vs_R[MNN] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_simulate_vs_R[AAdA] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_simulate_vs_R[AAA] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_simulate_vs_R[AAdM] SKIPPED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_simulate_vs_R[AAM] SKIPPED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_simulate_vs_R[AMdA] SKIPPED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_simulate_vs_R[AMA] SKIPPED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_simulate_vs_R[AMdM] SKIPPED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_simulate_vs_R[AMM] SKIPPED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_simulate_vs_R[ANA] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_simulate_vs_R[ANM] SKIPPED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_simulate_vs_R[MAdA] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_simulate_vs_R[MAA] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_simulate_vs_R[MAdM] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_simulate_vs_R[MAM] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_simulate_vs_R[MMdA] SKIPPED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_simulate_vs_R[MMA] SKIPPED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_simulate_vs_R[MMdM] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_simulate_vs_R[MMM] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_simulate_vs_R[MNA] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_simulate_vs_R[MNM] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_vs_R[AAdN] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_vs_R[AAN] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_vs_R[AMdN] SKIPPED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_vs_R[AMN] SKIPPED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_vs_R[ANN] PASSED [ 96%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_vs_R[MAdN] PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_vs_R[MAN] PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_vs_R[MMdN] PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_vs_R[MMN] PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_vs_R[MNN] PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_vs_R[AAdA] PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_vs_R[AAA] PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_vs_R[AAdM] SKIPPED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_vs_R[AAM] SKIPPED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_vs_R[AMdA] SKIPPED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_vs_R[AMA] SKIPPED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_vs_R[AMdM] SKIPPED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_vs_R[AMM] SKIPPED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_vs_R[ANA] PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_vs_R[ANM] SKIPPED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_vs_R[MAdA] PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_vs_R[MAA] PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_vs_R[MAdM] PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_vs_R[MAM] PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_vs_R[MMdA] SKIPPED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_vs_R[MMA] SKIPPED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_vs_R[MMdM] PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_vs_R[MMM] PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_vs_R[MNA] PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_vs_R[MNM] PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_predict_vs_R[AAdN] PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_predict_vs_R[AAN] PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_predict_vs_R[AMdN] SKIPPED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_predict_vs_R[AMN] SKIPPED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_predict_vs_R[ANN] PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_predict_vs_R[MAdN] PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_predict_vs_R[MAN] PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_predict_vs_R[MMdN] PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_predict_vs_R[MMN] PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_predict_vs_R[MNN] PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_predict_vs_R[AAdA] PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_predict_vs_R[AAA] PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_predict_vs_R[AAdM] SKIPPED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_predict_vs_R[AAM] SKIPPED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_predict_vs_R[AMdA] SKIPPED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_predict_vs_R[AMA] SKIPPED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_predict_vs_R[AMdM] SKIPPED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_predict_vs_R[AMM] SKIPPED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_predict_vs_R[ANA] PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_predict_vs_R[ANM] SKIPPED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_predict_vs_R[MAdA] PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_predict_vs_R[MAA] PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_predict_vs_R[MAdM] PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_predict_vs_R[MAM] PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_predict_vs_R[MMdA] SKIPPED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_predict_vs_R[MMA] SKIPPED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_predict_vs_R[MMdM] PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_predict_vs_R[MMM] PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_predict_vs_R[MNA] PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_predict_vs_R[MNM] PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_initialization_known PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_initialization_heuristic PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_bounded_fit PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_seasonal_periods PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_simulate_keywords PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_predict_ranges PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_summary PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_score PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_hessian PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_prediction_results PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_results_vs_statespace PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_prediction_results_vs_statespace PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_prediction_results_slow_AAN SKIPPED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_prediction_results_slow_AAdA SKIPPED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_convergence_simple PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_exact_prediction_intervals PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_one_step_ahead[AAdN] PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_one_step_ahead[AAN] PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_one_step_ahead[AMdN] SKIPPED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_one_step_ahead[AMN] SKIPPED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_one_step_ahead[ANN] PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_one_step_ahead[MAdN] PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_one_step_ahead[MAN] PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_one_step_ahead[MMdN] PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_one_step_ahead[MMN] PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_one_step_ahead[MNN] PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_one_step_ahead[AAdA] PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_one_step_ahead[AAA] PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_one_step_ahead[AAdM] SKIPPED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_one_step_ahead[AAM] SKIPPED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_one_step_ahead[AMdA] SKIPPED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_one_step_ahead[AMA] SKIPPED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_one_step_ahead[AMdM] SKIPPED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_one_step_ahead[AMM] SKIPPED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_one_step_ahead[ANA] PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_one_step_ahead[ANM] SKIPPED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_one_step_ahead[MAdA] PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_one_step_ahead[MAA] PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_one_step_ahead[MAdM] PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_one_step_ahead[MAM] PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_one_step_ahead[MMdA] SKIPPED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_one_step_ahead[MMA] SKIPPED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_one_step_ahead[MMdM] PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_one_step_ahead[MMM] PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_one_step_ahead[MNA] PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_one_step_ahead[MNM] PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_estimated_initialization_short_data[9-None-None] PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_estimated_initialization_short_data[9-None-add] PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_estimated_initialization_short_data[9-add-None] PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_estimated_initialization_short_data[9-add-add] PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_estimated_initialization_short_data[10-None-None] PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_estimated_initialization_short_data[10-None-add] PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_estimated_initialization_short_data[10-add-None] PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_estimated_initialization_short_data[10-add-add] PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_seasonal_order[estimated] PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_seasonal_order[heuristic] PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_seasonal.py::TestDecompose::test_ndarray PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_seasonal.py::TestDecompose::test_pandas PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_seasonal.py::TestDecompose::test_pandas_nofreq PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_seasonal.py::TestDecompose::test_filt PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_seasonal.py::TestDecompose::test_one_sided_moving_average_in_stl_decompose PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_seasonal.py::TestDecompose::test_2d PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_seasonal.py::TestDecompose::test_interpolate_trend PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_seasonal.py::TestDecompose::test_raises PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_seasonal.py::test_seasonal_decompose_too_short PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_seasonal.py::test_seasonal_decompose_smoke PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_seasonal.py::test_seasonal_decompose_multiple PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_seasonal.py::test_seasonal_decompose_plot[True-True-4-additive] PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_seasonal.py::test_seasonal_decompose_plot[True-True-4-multiplicative] PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_seasonal.py::test_seasonal_decompose_plot[True-True-12-additive] PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_seasonal.py::test_seasonal_decompose_plot[True-True-12-multiplicative] PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_seasonal.py::test_seasonal_decompose_plot[True-False-4-additive] PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_seasonal.py::test_seasonal_decompose_plot[True-False-4-multiplicative] PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_seasonal.py::test_seasonal_decompose_plot[True-False-12-additive] PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_seasonal.py::test_seasonal_decompose_plot[True-False-12-multiplicative] PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_seasonal.py::test_seasonal_decompose_plot[False-True-4-additive] PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_seasonal.py::test_seasonal_decompose_plot[False-True-4-multiplicative] PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_seasonal.py::test_seasonal_decompose_plot[False-True-12-additive] PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_seasonal.py::test_seasonal_decompose_plot[False-True-12-multiplicative] PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_seasonal.py::test_seasonal_decompose_plot[False-False-4-additive] PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_seasonal.py::test_seasonal_decompose_plot[False-False-4-multiplicative] PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_seasonal.py::test_seasonal_decompose_plot[False-False-12-additive] PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_seasonal.py::test_seasonal_decompose_plot[False-False-12-multiplicative] PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestADFConstant::test_teststat PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestADFConstant::test_pvalue PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestADFConstant::test_critvalues PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestADFConstantTrend::test_teststat PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestADFConstantTrend::test_pvalue PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestADFConstantTrend::test_critvalues PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestADFNoConstant::test_teststat PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestADFNoConstant::test_pvalue PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestADFNoConstant::test_critvalues PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestADFConstant2::test_teststat PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestADFConstant2::test_pvalue PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestADFConstant2::test_critvalues PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestADFConstantTrend2::test_teststat PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestADFConstantTrend2::test_pvalue PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestADFConstantTrend2::test_critvalues PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestADFNoConstant2::test_teststat PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestADFNoConstant2::test_pvalue PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestADFNoConstant2::test_critvalues PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestADFNoConstant2::test_store_str PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestACF::test_acf PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestACF::test_confint PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestACF::test_qstat PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestACF_FFT::test_acf PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestACF_FFT::test_qstat PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestACFMissing::test_raise PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestACFMissing::test_acf_none PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestACFMissing::test_acf_drop PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestACFMissing::test_acf_conservative PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestACFMissing::test_qstat_none PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestPACF::test_ols PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestPACF::test_ols_inefficient PASSED [ 97%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestPACF::test_yw PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestPACF::test_ld PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestBreakvarHeteroskedasticityTest::test_1d_input PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestBreakvarHeteroskedasticityTest::test_2d_input_with_missing_values PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestBreakvarHeteroskedasticityTest::test_subset_length[2-41-0.047619047619047616] PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestBreakvarHeteroskedasticityTest::test_subset_length[0.5-10-0.09048484886749095] PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestBreakvarHeteroskedasticityTest::test_alternative[two-sided-41-0.047619047619047616] PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestBreakvarHeteroskedasticityTest::test_alternative[decreasing-0.024390243902439025-0.9761904761904762] PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestBreakvarHeteroskedasticityTest::test_alternative[increasing-41-0.023809523809523808] PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestBreakvarHeteroskedasticityTest::test_use_chi2 PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestCoint_t::test_tstat PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_coint PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_coint_identical_series PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_coint_perfect_collinearity PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestGrangerCausality::test_grangercausality PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestGrangerCausality::test_grangercausality_single PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestGrangerCausality::test_granger_fails_on_nobs_check PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestGrangerCausality::test_granger_fails_on_finite_check PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestGrangerCausality::test_granger_fails_on_zero_lag PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestKPSS::test_fail_nonvector_input PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestKPSS::test_fail_unclear_hypothesis PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestKPSS::test_teststat PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestKPSS::test_pval PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestKPSS::test_store PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestKPSS::test_lags PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestKPSS::test_kpss_fails_on_nobs_check PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestKPSS::test_kpss_autolags_does_not_assign_lags_equal_to_nobs PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestKPSS::test_legacy_lags PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestKPSS::test_unknown_lags PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestKPSS::test_none PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestRUR::test_fail_nonvector_input PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestRUR::test_teststat PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestRUR::test_pval PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestRUR::test_store PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_pandasacovf PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf2d PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_fft_vs_convolution[True-True] PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_fft_vs_convolution[True-False] PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_fft_vs_convolution[False-True] PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_fft_vs_convolution[False-False] PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_ccovf_fft_vs_convolution[True-True] PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_ccovf_fft_vs_convolution[True-False] PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_ccovf_fft_vs_convolution[False-True] PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_ccovf_fft_vs_convolution[False-False] PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_compare_acovf_vs_ccovf[True-True-True] PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_compare_acovf_vs_ccovf[True-True-False] PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_compare_acovf_vs_ccovf[True-False-True] PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_compare_acovf_vs_ccovf[True-False-False] PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_compare_acovf_vs_ccovf[False-True-True] PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_compare_acovf_vs_ccovf[False-True-False] PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_compare_acovf_vs_ccovf[False-False-True] PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_compare_acovf_vs_ccovf[False-False-False] PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_arma_order_select_ic PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_arma_order_select_ic_failure PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acf_fft_dataframe PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_levinson_durbin_acov PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[True-True-False-conservative] PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[True-True-False-drop] PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[True-True-False-raise] PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[True-True-False-none] PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[True-True-True-conservative] PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[True-True-True-drop] PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[True-True-True-raise] PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[True-True-True-none] PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[True-False-False-conservative] PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[True-False-False-drop] PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[True-False-False-raise] PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[True-False-False-none] PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[True-False-True-conservative] PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[True-False-True-drop] PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[True-False-True-raise] PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[True-False-True-none] PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[False-True-False-conservative] PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[False-True-False-drop] PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[False-True-False-raise] PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[False-True-False-none] PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[False-True-True-conservative] PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[False-True-True-drop] PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[False-True-True-raise] PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[False-True-True-none] PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[False-False-False-conservative] PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[False-False-False-drop] PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[False-False-False-raise] PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[False-False-False-none] PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[False-False-True-conservative] PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[False-False-True-drop] PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[False-False-True-raise] PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[False-False-True-none] PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags_missing[True-True-False-conservative] PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags_missing[True-True-False-drop] PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags_missing[True-True-True-conservative] PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags_missing[True-True-True-drop] PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags_missing[True-False-False-conservative] PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags_missing[True-False-False-drop] PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags_missing[True-False-True-conservative] PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags_missing[True-False-True-drop] PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags_missing[False-True-False-conservative] PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags_missing[False-True-False-drop] PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags_missing[False-True-True-conservative] PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags_missing[False-True-True-drop] PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags_missing[False-False-False-conservative] PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags_missing[False-False-False-drop] PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags_missing[False-False-True-conservative] PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags_missing[False-False-True-drop] PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_error PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_pacf2acf_ar PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_pacf2acf_levinson_durbin PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_pacf2acf_errors PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_pacf_burg PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_pacf_burg_error PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_innovations_algo_brockwell_davis PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_innovations_algo_rtol PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_innovations_errors PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_innovations_filter_brockwell_davis PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_innovations_filter_pandas PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_innovations_filter_errors PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_innovations_algo_filter_kalman_filter PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_adfuller_short_series PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_adfuller_maxlag_too_large PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestZivotAndrews::test_fail_regression_type PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestZivotAndrews::test_fail_trim_value PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestZivotAndrews::test_fail_array_shape PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestZivotAndrews::test_fail_autolag_type PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestZivotAndrews::test_autolag_case_sensitivity[AIC] PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestZivotAndrews::test_autolag_case_sensitivity[aic] PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestZivotAndrews::test_autolag_case_sensitivity[Aic] PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestZivotAndrews::test_rgnp_case PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestZivotAndrews::test_gnpdef_case PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestZivotAndrews::test_stkprc_case PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestZivotAndrews::test_rgnpq_case PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestZivotAndrews::test_rand10000_case PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acf_conservate_nanops PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_pacf_nlags_error PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_coint_auto_tstat PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_granger_causality_exceptions[dataset0] PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_granger_causality_exceptions[dataset1] PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_granger_causality_exceptions[dataset2] PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_granger_causality_exceptions[dataset3] PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stl.py::test_baseline_class PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stl.py::test_short_class PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stl.py::test_nljump_1_class PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stl.py::test_ntjump_1_class PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stl.py::test_nljump_1_ntjump_1_class PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stl.py::test_parameter_checks_period PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stl.py::test_parameter_checks_seasonal PASSED [ 98%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/tests/test_stl.py::test_parameter_checks_trend PASSED [ 98%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_detsig PASSED [ 99%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_fpe PASSED [ 99%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_causality PASSED [ 99%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_causality_no_lags PASSED [ 99%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_select_order PASSED [ 99%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_is_stable PASSED [ 99%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_acorr PASSED [ 99%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_forecast PASSED [ 99%]
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> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_plot_acorr PASSED [ 99%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_plot_forecast PASSED [ 99%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_reorder PASSED [ 99%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_pickle PASSED [ 99%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::test_lutkepohl_parse PASSED [ 99%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResultsLutkepohl::test_approx_mse PASSED [ 99%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResultsLutkepohl::test_irf_stderr PASSED [ 99%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResultsLutkepohl::test_cum_irf_stderr PASSED [ 99%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResultsLutkepohl::test_lr_effect_stderr PASSED [ 99%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::test_get_trendorder PASSED [ 99%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::test_var_constant PASSED [ 99%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::test_var_trend PASSED [ 99%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::test_irf_trend PASSED [ 99%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARExtras::test_process PASSED [ 99%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARExtras::test_process_plotting PASSED [ 99%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARExtras::test_forecast_cov PASSED [ 99%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARExtras::test_exog PASSED [ 99%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::test_var_cov_params_pandas PASSED [ 99%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::test_summaries_exog PASSED [ 99%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::test_whiteness_nlag PASSED [ 99%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::test_var_maxlag PASSED [ 99%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::test_from_formula PASSED [ 99%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::test_correct_nobs PASSED [ 99%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::test_irf_err_bands PASSED [ 99%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var_jmulti.py::test_ols_coefs PASSED [ 99%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var_jmulti.py::test_ols_det_terms PASSED [ 99%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var_jmulti.py::test_ols_sigma PASSED [ 99%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var_jmulti.py::test_log_like PASSED [ 99%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var_jmulti.py::test_fc PASSED [ 99%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var_jmulti.py::test_causality PASSED [ 99%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var_jmulti.py::test_impulse_response PASSED [ 99%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var_jmulti.py::test_lag_order_selection PASSED [ 99%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var_jmulti.py::test_normality PASSED [ 99%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var_jmulti.py::test_whiteness PASSED [ 99%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var_jmulti.py::test_exceptions PASSED [ 99%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_ml_gamma PASSED [ 99%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_ml_alpha PASSED [ 99%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_ml_beta PASSED [ 99%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_ml_c PASSED [ 99%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_ml_det_terms_in_coint_relation PASSED [ 99%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_ml_sigma PASSED [ 99%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_var_rep PASSED [ 99%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_var_to_vecm PASSED [ 99%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_log_like PASSED [ 99%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_fc PASSED [ 99%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_granger_causality PASSED [ 99%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_inst_causality PASSED [ 99%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_impulse_response PASSED [ 99%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_lag_order_selection PASSED [ 99%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_normality PASSED [ 99%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_whiteness PASSED [ 99%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_summary PASSED [ 99%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_exceptions PASSED [ 99%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_select_coint_rank PASSED [ 99%]
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_VECM_seasonal_forecast PASSED [100%]
>
> =================================== FAILURES ===================================
> ____________________ TestDynamicFactor_ar2_errors.test_mle _____________________
>
> self = <statsmodels.tsa.statespace.tests.test_dynamic_factor.TestDynamicFactor_ar2_errors object at 0x7f99c7061870>
>
> def test_mle(self):
> with warnings.catch_warnings(record=True):
> # Depending on the system, this test can reach a greater precision,
> # but for cross-platform results keep it at 1e-2
> mod = self.model
> res1 = mod.fit(maxiter=100, optim_score='approx', disp=False)
> res = mod.fit(
> res1.params, method='nm', maxiter=10000,
> optim_score='approx', disp=False)
> # Added rtol to catch spurious failures on some platforms
> > assert_allclose(res.llf, self.results.llf, atol=1e-2, rtol=1e-4)
> E AssertionError:
> E Not equal to tolerance rtol=0.0001, atol=0.01
> E
> E Mismatched elements: 1 / 1 (100%)
> E Max absolute difference: 0.30774539
> E Max relative difference: 0.00050664
> E x: array(607.112359)
> E y: array(607.420104)
>
> ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py:614: AssertionError
> =============================== warnings summary ===============================
> ../../../../usr/lib/python3/dist-packages/joblib/backports.py:7
> /usr/lib/python3/dist-packages/joblib/backports.py:7: DeprecationWarning: The distutils package is deprecated and slated for removal in Python 3.12. Use setuptools or check PEP 632 for potential alternatives
> from distutils.version import LooseVersion
>
> base/tests/test_penalized.py: 2 warnings
> base/tests/test_shrink_pickle.py: 3 warnings
> discrete/tests/test_count_model.py: 6 warnings
> discrete/tests/test_discrete.py: 6 warnings
> genmod/tests/test_glm.py: 1 warning
> tsa/forecasting/tests/test_stl.py: 1 warning
> tsa/tests/test_exponential_smoothing.py: 2 warnings
> tsa/vector_ar/tests/test_svar.py: 101 warnings
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10_statsmodels/build/statsmodels/base/model.py:604: ConvergenceWarning: Maximum Likelihood optimization failed to converge. Check mle_retvals
> warnings.warn("Maximum Likelihood optimization failed to "
>
> discrete/tests/test_count_model.py::TestZeroInflatedModel_logit::test_fit_regularized
> discrete/tests/test_count_model.py::TestZeroInflatedModel_probit::test_fit_regularized
> discrete/tests/test_count_model.py::TestZeroInflatedModel_offset::test_fit_regularized
> discrete/tests/test_count_model.py::TestZeroInflatedModelPandas::test_fit_regularized
> discrete/tests/test_count_model.py::TestZeroInflatedGeneralizedPoisson::test_fit_regularized
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10_statsmodels/build/statsmodels/base/l1_solvers_common.py:71: ConvergenceWarning: QC check did not pass for 4 out of 4 parameters
> Try increasing solver accuracy or number of iterations, decreasing alpha, or switch solvers
> warnings.warn(message, ConvergenceWarning)
>
> discrete/tests/test_count_model.py: 8 warnings
> discrete/tests/test_discrete.py: 2 warnings
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10_statsmodels/build/statsmodels/base/l1_solvers_common.py:144: ConvergenceWarning: Could not trim params automatically due to failed QC check. Trimming using trim_mode == 'size' will still work.
> warnings.warn(msg, ConvergenceWarning)
>
> discrete/tests/test_count_model.py::TestZeroInflatedModel_logit::test_fit_regularized
> discrete/tests/test_count_model.py::TestZeroInflatedModel_offset::test_fit_regularized
> discrete/tests/test_count_model.py::TestZeroInflatedModelPandas::test_fit_regularized
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10_statsmodels/build/statsmodels/base/l1_solvers_common.py:71: ConvergenceWarning: QC check did not pass for 3 out of 6 parameters
> Try increasing solver accuracy or number of iterations, decreasing alpha, or switch solvers
> warnings.warn(message, ConvergenceWarning)
>
> discrete/tests/test_count_model.py::TestZeroInflatedModel_probit::test_fit_regularized
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10_statsmodels/build/statsmodels/base/l1_solvers_common.py:71: ConvergenceWarning: QC check did not pass for 2 out of 6 parameters
> Try increasing solver accuracy or number of iterations, decreasing alpha, or switch solvers
> warnings.warn(message, ConvergenceWarning)
>
> discrete/tests/test_count_model.py::TestZeroInflatedGeneralizedPoisson::test_fit_regularized
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10_statsmodels/build/statsmodels/base/l1_solvers_common.py:71: ConvergenceWarning: QC check did not pass for 1 out of 5 parameters
> Try increasing solver accuracy or number of iterations, decreasing alpha, or switch solvers
> warnings.warn(message, ConvergenceWarning)
>
> discrete/tests/test_count_model.py::TestZeroInflatedGeneralizedPoisson::test_fit_regularized
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10_statsmodels/build/statsmodels/base/l1_solvers_common.py:71: ConvergenceWarning: QC check did not pass for 3 out of 7 parameters
> Try increasing solver accuracy or number of iterations, decreasing alpha, or switch solvers
> warnings.warn(message, ConvergenceWarning)
>
> discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP::test_null
> discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP_predict2::test_mean
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10_statsmodels/build/statsmodels/base/model.py:592: HessianInversionWarning: Inverting hessian failed, no bse or cov_params available
> warnings.warn('Inverting hessian failed, no bse or cov_params '
>
> discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP::test_fit_regularized
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10_statsmodels/build/statsmodels/base/l1_solvers_common.py:71: ConvergenceWarning: QC check did not pass for 1 out of 2 parameters
> Try increasing solver accuracy or number of iterations, decreasing alpha, or switch solvers
> warnings.warn(message, ConvergenceWarning)
>
> discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP::test_fit_regularized
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10_statsmodels/build/statsmodels/base/l1_solvers_common.py:71: ConvergenceWarning: QC check did not pass for 1 out of 3 parameters
> Try increasing solver accuracy or number of iterations, decreasing alpha, or switch solvers
> warnings.warn(message, ConvergenceWarning)
>
> discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP::test_fit_regularized
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10_statsmodels/build/statsmodels/base/l1_solvers_common.py:71: ConvergenceWarning: QC check did not pass for 2 out of 5 parameters
> Try increasing solver accuracy or number of iterations, decreasing alpha, or switch solvers
> warnings.warn(message, ConvergenceWarning)
>
> discrete/tests/test_discrete.py::TestPoissonL1Compatability::test_params
> discrete/tests/test_discrete.py::TestNegativeBinomialGeoL1Compatability::test_params
> discrete/tests/test_discrete.py::TestGeneralizedPoisson_p1::test_fit_regularized
> discrete/tests/test_discrete.py::TestGeneralizedPoisson_p1::test_fit_regularized
> discrete/tests/test_discrete.py::TestGeneralizedPoisson_p1::test_fit_regularized
> /usr/lib/python3/dist-packages/numpy/core/fromnumeric.py:86: RuntimeWarning: overflow encountered in reduce
> return ufunc.reduce(obj, axis, dtype, out, **passkwargs)
>
> discrete/tests/test_discrete.py::TestGeneralizedPoisson_p1::test_fit_regularized
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10_statsmodels/build/statsmodels/base/l1_solvers_common.py:71: ConvergenceWarning: QC check did not pass for 8 out of 10 parameters
> Try increasing solver accuracy or number of iterations, decreasing alpha, or switch solvers
> warnings.warn(message, ConvergenceWarning)
>
> discrete/tests/test_discrete.py::TestGeneralizedPoisson_p1::test_fit_regularized
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10_statsmodels/build/statsmodels/base/l1_solvers_common.py:71: ConvergenceWarning: QC check did not pass for 2 out of 11 parameters
> Try increasing solver accuracy or number of iterations, decreasing alpha, or switch solvers
> warnings.warn(message, ConvergenceWarning)
>
> distributions/tests/test_bernstein.py::test_bernstein_distribution_1d
> /usr/lib/python3/dist-packages/scipy/stats/_discrete_distns.py:69: RuntimeWarning: divide by zero encountered in _binom_pdf
> return _boost._binom_pdf(x, n, p)
>
> distributions/tests/test_bernstein.py::test_bernstein_distribution_1d
> nonparametric/tests/test_asymmetric.py::TestKernelsUnit::test_kernels[case0]
> nonparametric/tests/test_asymmetric.py::TestKernelsUnit::test_kernels[case1]
> nonparametric/tests/test_asymmetric.py::TestKernelsUnit::test_kernels_vectorized[case0]
> nonparametric/tests/test_asymmetric.py::TestKernelsUnit::test_kernels_vectorized[case1]
> nonparametric/tests/test_asymmetric.py::TestKernelsUnit::test_kernels_weights[case0]
> nonparametric/tests/test_asymmetric.py::TestKernelsUnit::test_kernels_weights[case1]
> /usr/lib/python3/dist-packages/scipy/stats/_continuous_distns.py:608: RuntimeWarning: divide by zero encountered in _beta_pdf
> return _boost._beta_pdf(x, a, b)
>
> distributions/tests/test_bernstein.py::test_bernstein_distribution_2d
> distributions/tests/test_bernstein.py::TestBernsteinBeta2d::test_basic
> distributions/tests/test_bernstein.py::TestBernsteinBeta2dd::test_basic
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10_statsmodels/build/statsmodels/distributions/copula/transforms.py:27: RuntimeWarning: divide by zero encountered in log
> return - (np.log(-expm1(-theta*t)) - np.log(-expm1(-theta)))
>
> genmod/tests/test_glm_weights.py::TestGlmPoissonFwClu::test_basic
> /usr/lib/python3/dist-packages/_pytest/python.py:776: PytestRemovedIn8Warning: Passing None has been deprecated.
> See https://docs.pytest.org/en/latest/how-to/capture-warnings.html#additional-use-cases-of-warnings-in-tests for alternatives in common use cases.
> func(arg)
>
> miscmodels/tests/test_generic_mle.py::TestTwoPeakLLHNoExog::test_fit
> miscmodels/tests/test_poisson.py::TestPoissonZi::test_ttest
> miscmodels/tests/test_tmodel.py::TestTModel::test_basic
> miscmodels/tests/test_tmodel.py::TestTModelFixed::test_smoke
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10_statsmodels/build/statsmodels/base/model.py:2694: UserWarning: df_model + k_constant differs from nparams
> warnings.warn("df_model + k_constant differs from nparams")
>
> miscmodels/tests/test_generic_mle.py::TestTwoPeakLLHNoExog::test_fit
> miscmodels/tests/test_poisson.py::TestPoissonZi::test_ttest
> miscmodels/tests/test_tmodel.py::TestTModel::test_basic
> miscmodels/tests/test_tmodel.py::TestTModelFixed::test_smoke
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10_statsmodels/build/statsmodels/base/model.py:2696: UserWarning: df_resid differs from nobs - nparams
> warnings.warn("df_resid differs from nobs - nparams")
>
> nonparametric/tests/test_kernel_density.py::TestKDEMultivariateConditional::test_unordered_CV_LS
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/kernel_density.py:679: RuntimeWarning: invalid value encountered in double_scalars
> CV += (G / m_x ** 2) - 2 * (f_X_Y / m_x)
>
> nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_continuousdata_lc_cvls
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/kernel_regression.py:251: RuntimeWarning: invalid value encountered in true_divide
> B_x = (G_numer * d_fx - G_denom * d_mx) / (G_denom**2)
>
> nonparametric/tests/test_lowess.py::TestLowess::test_duplicate_xs
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10_statsmodels/build/statsmodels/nonparametric/smoothers_lowess.py:227: RuntimeWarning: invalid value encountered in true_divide
> res, _ = _lowess(y, x, x, np.ones_like(x),
>
> regression/tests/test_dimred.py::test_covreduce
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10_statsmodels/build/statsmodels/regression/dimred.py:694: ConvergenceWarning: CovReduce optimization did not converge, |g|=1.287955
> warnings.warn(msg, ConvergenceWarning)
>
> regression/tests/test_regression.py::TestOLS::test_summary_slim
> /usr/lib/python3/dist-packages/scipy/stats/_stats_py.py:1477: UserWarning: kurtosistest only valid for n>=20 ... continuing anyway, n=16
> warnings.warn("kurtosistest only valid for n>=20 ... continuing "
>
> robust/tests/test_scale.py::TestHuberAxes::test_axis1
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10_statsmodels/build/statsmodels/robust/scale.py:292: RuntimeWarning: divide by zero encountered in true_divide
> subset = np.less_equal(np.abs((a - mu) / scale), self.c)
>
> sandbox/distributions/tests/test_extras.py::test_skewt
> /usr/lib/python3/dist-packages/scipy/stats/_continuous_distns.py:6345: RuntimeWarning: overflow encountered in double_scalars
> / (np.sqrt(r*np.pi)*(1+(x**2)/r)**((r+1)/2)))
>
> sandbox/tests/test_gam.py::TestGAMGaussianLogLink::test_predict
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10_statsmodels/build/statsmodels/sandbox/gam.py:327: IterationLimitWarning:
> Maximum iteration reached.
>
> warnings.warn(iteration_limit_doc, IterationLimitWarning)
>
> stats/tests/test_corrpsd.py::TestCovPSD::test_cov_nearest
> stats/tests/test_corrpsd.py::TestCorrPSD1::test_nearest
> stats/tests/test_corrpsd.py::test_corrpsd_threshold[0]
> stats/tests/test_corrpsd.py::test_corrpsd_threshold[1e-15]
> stats/tests/test_corrpsd.py::test_corrpsd_threshold[1e-10]
> stats/tests/test_corrpsd.py::test_corrpsd_threshold[1e-06]
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/correlation_tools.py:90: IterationLimitWarning:
> Maximum iteration reached.
>
> warnings.warn(iteration_limit_doc, IterationLimitWarning)
>
> stats/tests/test_diagnostic.py::TestDiagnosticG::test_normality
> stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_normality
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/_adnorm.py:70: RuntimeWarning: divide by zero encountered in log1p
> s = np.sum((2 * i[sl1] - 1.0) / nobs * (np.log(z) + np.log1p(-z[sl2])),
>
> stats/tests/test_power.py::test_power_solver_warn
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/power.py:106: RuntimeWarning: invalid value encountered in sqrt
> pow_ = stats.norm.sf(crit - d*np.sqrt(nobs)/sigma)
>
> stats/tests/test_tost.py::test_tost_asym
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10_statsmodels/build/statsmodels/stats/weightstats.py:1477: RuntimeWarning: invalid value encountered in log
> low = transform(low)
>
> tools/tests/test_grouputils.py::test_dummy_sparse
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tools/tests/test_grouputils.py:318: DeprecationWarning: Please use `csr_matrix` from the `scipy.sparse` namespace, the `scipy.sparse.csr` namespace is deprecated.
> assert isinstance(indi, sparse.csr.csr_matrix)
>
> tsa/holtwinters/tests/test_holtwinters.py::TestHoltWinters::test_holt_damp_r
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/holtwinters/model.py:825: EstimationWarning: Model has no free parameters to estimate. Set optimized=False to suppress this warning
> warnings.warn(message, EstimationWarning)
>
> tsa/holtwinters/tests/test_holtwinters.py::test_start_params[add-mul]
> tsa/holtwinters/tests/test_holtwinters.py::test_start_params[mul-mul]
> tsa/holtwinters/tests/test_holtwinters.py::test_start_params[None-mul]
> tsa/holtwinters/tests/test_holtwinters.py::test_float_boxcox[add-mul]
> tsa/holtwinters/tests/test_holtwinters.py::test_float_boxcox[mul-mul]
> tsa/holtwinters/tests/test_holtwinters.py::test_equivalence_cython_python[add-mul]
> tsa/holtwinters/tests/test_holtwinters.py::test_equivalence_cython_python[mul-mul]
> tsa/holtwinters/tests/test_holtwinters.py::test_equivalence_cython_python[None-mul]
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/holtwinters/model.py:83: RuntimeWarning: overflow encountered in matmul
> return err.T @ err
>
> tsa/holtwinters/tests/test_holtwinters.py::test_start_params[add-mul]
> /usr/lib/python3/dist-packages/scipy/optimize/_numdiff.py:576: RuntimeWarning: invalid value encountered in subtract
> df = fun(x) - f0
>
> tsa/holtwinters/tests/test_holtwinters.py::test_start_params[add-mul]
> tsa/holtwinters/tests/test_holtwinters.py::test_float_boxcox[add-mul]
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
> warnings.warn(
>
> tsa/statespace/tests/test_exponential_smoothing.py: 14 warnings
> tsa/tests/test_exponential_smoothing.py: 2 warnings
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/exponential_smoothing.py:161: RuntimeWarning: ExponentialSmoothing should not be used with seasonal terms. It has a serious bug that has not been fixed. Instead use ETSModel.
> warnings.warn(
>
> tsa/statespace/tests/test_mlemodel.py::test_integer_params
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/kalman_filter.py:1768: RuntimeWarning: invalid value encountered in double_scalars
> self.scale = np.sum(scale_obs[d:]) / nobs_k_endog
>
> tsa/tests/test_exponential_smoothing.py::test_hessian
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/exponential_smoothing/base.py:269: PrecisionWarning: Calculation of the Hessian using finite differences is usually subject to substantial approximation errors.
> warnings.warn('Calculation of the Hessian using finite differences'
>
> tsa/tests/test_stattools.py::TestBreakvarHeteroskedasticityTest::test_2d_input_with_missing_values
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/stattools.py:1339: UserWarning: Later subset of data for variable 2 has too few non-missing observations to calculate test statistic.
> warnings.warn(
>
> tsa/tests/test_stattools.py::test_arma_order_select_ic
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/sarimax.py:978: UserWarning: Non-invertible starting MA parameters found. Using zeros as starting parameters.
> warn('Non-invertible starting MA parameters found.'
>
> tsa/tests/test_stl.py::test_plot
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/seasonal.py:324: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).
> fig, axs = plt.subplots(len(series), 1)
>
> tsa/vector_ar/tests/test_var.py::test_irf_err_bands
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/vector_ar/irf.py:529: ComplexWarning: Casting complex values to real discards the imaginary part
> W[i,j,:,:], eigva[i,j,:,0], k[i,j] = util.eigval_decomp(cov_hold[i,j,:,:])
>
> tsa/vector_ar/tests/test_var.py::test_irf_err_bands
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/vector_ar/irf.py:484: ComplexWarning: Casting complex values to real discards the imaginary part
> W[i], eigva[i], k[i] = util.eigval_decomp(stack_cov[i])
>
> -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
> =========================== short test summary info ============================
> FAILED ../.pybuild/cpython3_3.10_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_ar2_errors::test_mle
> = 1 failed, 16448 passed, 289 skipped, 142 xfailed, 10 xpassed, 230 warnings in 1361.06s (0:22:41) =
> make[1]: *** [debian/rules:105: override_dh_auto_test] Error 1
The full build log is available from:
http://qa-logs.debian.net/2022/09/17/statsmodels_0.13.2+dfsg-4_unstable.log
All bugs filed during this archive rebuild are listed at:
https://bugs.debian.org/cgi-bin/pkgreport.cgi?tag=ftbfs-20220917;users=lucas@debian.org
or:
https://udd.debian.org/bugs/?release=na&merged=ign&fnewerval=7&flastmodval=7&fusertag=only&fusertagtag=ftbfs-20220917&fusertaguser=lucas@debian.org&allbugs=1&cseverity=1&ctags=1&caffected=1#results
A list of current common problems and possible solutions is available at
http://wiki.debian.org/qa.debian.org/FTBFS . You're welcome to contribute!
If you reassign this bug to another package, please marking it as 'affects'-ing
this package. See https://www.debian.org/Bugs/server-control#affects
If you fail to reproduce this, please provide a build log and diff it with mine
so that we can identify if something relevant changed in the meantime.
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