Bug#967024: statsmodels: FTBFS: tests failed

[Lucas Nussbaum]

Source: statsmodels
Version: 0.11.1-3
Severity: serious
Justification: FTBFS on amd64
Tags: bullseye sid ftbfs
Usertags: ftbfs-20200802 ftbfs-bullseye

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 ; ${TEST_SUCCESS}
> ============================= test session starts ==============================
> platform linux -- Python 3.8.5, pytest-4.6.11, py-1.8.1, pluggy-0.13.0 -- /usr/bin/python3.8
> cachedir: .pytest_cache
> rootdir: /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_statsmodels/build/statsmodels, inifile: setup.cfg
> collecting ... collected 12988 items
> 
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestArrays::test_orig PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestArrays::test_endogexog PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestArrays::test_attach PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestArrays::test_names PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestArrays::test_labels PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestArrays2dEndog::test_orig PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestArrays2dEndog::test_attach PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestArrays2dEndog::test_names PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestArrays2dEndog::test_labels PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestArrays2dEndog::test_endogexog PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestArrays1dExog::test_endogexog PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestArrays1dExog::test_attach PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestArrays1dExog::test_names PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestArrays1dExog::test_labels PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestArrays1dExog::test_orig PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestDataFrames::test_names PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestDataFrames::test_labels PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestDataFrames::test_orig PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestDataFrames::test_endogexog PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestDataFrames::test_attach PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestDataFramesWithMultiIndex::test_names PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestDataFramesWithMultiIndex::test_labels PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestDataFramesWithMultiIndex::test_orig PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestDataFramesWithMultiIndex::test_endogexog PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestDataFramesWithMultiIndex::test_attach PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestLists::test_orig PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestLists::test_endogexog PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestLists::test_attach PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestLists::test_names PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestLists::test_labels PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestRecarrays::test_orig PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestRecarrays::test_attach PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestRecarrays::test_names PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestRecarrays::test_labels PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestRecarrays::test_endogexog PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestStructarrays::test_orig PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestStructarrays::test_attach PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestStructarrays::test_names PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestStructarrays::test_labels PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestStructarrays::test_endogexog PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestListDataFrame::test_names PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestListDataFrame::test_labels PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestListDataFrame::test_attach PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestListDataFrame::test_endogexog PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestListDataFrame::test_orig PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestDataFrameList::test_names PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestDataFrameList::test_labels PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestDataFrameList::test_attach PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestDataFrameList::test_endogexog PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestDataFrameList::test_orig PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestArrayDataFrame::test_names PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestArrayDataFrame::test_labels PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestArrayDataFrame::test_attach PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestArrayDataFrame::test_endogexog PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestArrayDataFrame::test_orig PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestDataFrameArray::test_names PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestDataFrameArray::test_labels PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestDataFrameArray::test_attach PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestDataFrameArray::test_endogexog PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestDataFrameArray::test_orig PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestSeriesDataFrame::test_names PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestSeriesDataFrame::test_labels PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestSeriesDataFrame::test_endogexog PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestSeriesDataFrame::test_attach PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestSeriesDataFrame::test_orig PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestSeriesSeries::test_names PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestSeriesSeries::test_labels PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestSeriesSeries::test_attach PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestSeriesSeries::test_orig PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestSeriesSeries::test_endogexog PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::test_alignment PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestMultipleEqsArrays::test_orig PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestMultipleEqsArrays::test_endogexog PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestMultipleEqsArrays::test_names PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestMultipleEqsArrays::test_labels PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestMultipleEqsArrays::test_attach PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestMultipleEqsDataFrames::test_names PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestMultipleEqsDataFrames::test_labels PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestMultipleEqsDataFrames::test_orig PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestMultipleEqsDataFrames::test_endogexog PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestMultipleEqsDataFrames::test_attach PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestMissingArray::test_raise_no_missing PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestMissingArray::test_raise PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestMissingArray::test_drop PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestMissingArray::test_none PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestMissingArray::test_endog_only_raise PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestMissingArray::test_endog_only_drop PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestMissingArray::test_mv_endog PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestMissingArray::test_extra_kwargs_2d PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestMissingArray::test_extra_kwargs_1d PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestMissingPandas::test_raise_no_missing PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestMissingPandas::test_raise PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestMissingPandas::test_drop PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestMissingPandas::test_none PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestMissingPandas::test_endog_only_raise PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestMissingPandas::test_endog_only_drop PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestMissingPandas::test_mv_endog PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestMissingPandas::test_labels PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestConstant::test_array_constant PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestConstant::test_pandas_constant PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestConstant::test_pandas_noconstant PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestConstant::test_array_noconstant PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestHandleMissing::test_pandas PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestHandleMissing::test_arrays PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestHandleMissing::test_pandas_array PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestHandleMissing::test_array_pandas PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestHandleMissing::test_noop PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestHasConstantOLS::test_hasconst PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestHasConstantGLM::test_hasconst PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::TestHasConstantLogit::test_hasconst PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::test_dtype_object PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::test_formula_missing_extra_arrays PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_data.py::test_raise_nonfinite_exog PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_distributed_estimation.py::test_calc_grad PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_distributed_estimation.py::test_calc_wdesign_mat PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_distributed_estimation.py::test_est_regularized_debiased PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_distributed_estimation.py::test_est_regularized_naive PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_distributed_estimation.py::test_est_unregularized_naive PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_distributed_estimation.py::test_join_debiased PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_distributed_estimation.py::test_join_naive PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_distributed_estimation.py::test_fit_sequential PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_distributed_estimation.py::test_fit_joblib PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_distributed_estimation.py::test_single_partition PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_distributed_estimation.py::test_larger_p PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_distributed_estimation.py::test_non_zero_params PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_distributed_estimation.py::test_repeat_partition PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_distributed_estimation.py::test_debiased_v_average PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericOLS::test_ttest_tvalues PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericOLS::test_ftest_pvalues PASSED [  0%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericOLS::test_fitted PASSED [  1%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericOLS::test_predict_types PASSED [  1%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericOLS::test_zero_constrained PASSED [  1%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericOLS::test_zero_collinear PASSED [  1%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericOLSOneExog::test_ttest_tvalues PASSED [  1%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericOLSOneExog::test_ftest_pvalues PASSED [  1%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericOLSOneExog::test_fitted PASSED [  1%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericOLSOneExog::test_predict_types PASSED [  1%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericOLSOneExog::test_zero_collinear PASSED [  1%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericOLSOneExog::test_zero_constrained SKIPPED [  1%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericWLS::test_ttest_tvalues PASSED [  1%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericWLS::test_ftest_pvalues PASSED [  1%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericWLS::test_fitted PASSED [  1%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericWLS::test_predict_types PASSED [  1%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericWLS::test_zero_constrained PASSED [  1%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericWLS::test_zero_collinear PASSED [  1%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericPoisson::test_ttest_tvalues PASSED [  1%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericPoisson::test_ftest_pvalues PASSED [  1%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericPoisson::test_fitted SKIPPED [  1%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericPoisson::test_predict_types PASSED [  1%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericPoisson::test_zero_constrained PASSED [  1%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericPoisson::test_zero_collinear PASSED [  1%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericPoissonOffset::test_ttest_tvalues PASSED [  1%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericPoissonOffset::test_ftest_pvalues PASSED [  1%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericPoissonOffset::test_fitted SKIPPED [  1%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericPoissonOffset::test_predict_types PASSED [  1%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericPoissonOffset::test_zero_constrained PASSED [  1%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericPoissonOffset::test_zero_collinear PASSED [  1%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericNegativeBinomial::test_ttest_tvalues PASSED [  1%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericNegativeBinomial::test_ftest_pvalues PASSED [  1%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericNegativeBinomial::test_zero_constrained PASSED [  1%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericNegativeBinomial::test_zero_collinear PASSED [  1%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericLogit::test_ttest_tvalues PASSED [  1%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericLogit::test_ftest_pvalues PASSED [  1%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericLogit::test_fitted SKIPPED [  1%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericRLM::test_ttest_tvalues PASSED [  1%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericGLMPoissonOffset::test_ttest_tvalues PASSED [  1%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericGLMPoissonOffset::test_fitted SKIPPED [  1%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericGEEPoissonBC::test_ttest_tvalues PASSED [  1%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericGEEPoissonBC::test_ftest_pvalues PASSED [  1%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericGEEPoissonBC::test_fitted PASSED [  1%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestWaldAnovaPoisson::test_combined PASSED [  1%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP::test_params PASSED [  4%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP::test_conf_int PASSED [  4%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP::test_bic PASSED [  4%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP::test_fit_regularized PASSED [  4%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP::test_minimize PASSED [  4%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP::test_fit_regularized_invalid_method PASSED [  4%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP_predict::test_mean PASSED [  4%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP_predict::test_var PASSED [  4%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP_predict::test_predict_prob PASSED [  4%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP_predict::test_predict_generic_zi PASSED [  4%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP_predict2::test_mean PASSED [  4%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP_predict2::test_zero_nonzero_mean PASSED [  4%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_diagnostic.py::TestCountDiagnostic::test_count PASSED [  4%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_diagnostic.py::TestCountDiagnostic::test_probs PASSED [  4%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_fit_regularized_invalid_method PASSED [  4%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_params PASSED [  4%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_conf_int PASSED [  4%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_zstat PASSED [  4%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_pvalues PASSED [  4%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_cov_params PASSED [  4%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_llf PASSED [  4%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_llnull PASSED [  4%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_llr PASSED [  4%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_llr_pvalue PASSED [  4%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_normalized_cov_params XFAIL [  4%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_bse PASSED [  4%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_dof PASSED [  4%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_aic PASSED [  4%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_bic PASSED [  4%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_predict_xb PASSED [  4%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_loglikeobs PASSED [  4%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_jac PASSED [  4%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_pred_table PASSED [  4%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_resid_dev PASSED [  4%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_resid_generalized PASSED [  4%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_resid_response PASSED [  4%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_predict XFAIL [  4%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_fit_regularized_invalid_method PASSED [  4%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_params PASSED [  4%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_conf_int PASSED [  4%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_zstat PASSED [  4%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_pvalues PASSED [  4%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_cov_params PASSED [  4%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_llf PASSED [  4%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_llnull PASSED [  4%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_llr PASSED [  4%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_llr_pvalue PASSED [  4%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_normalized_cov_params XFAIL [  4%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_bse PASSED [  4%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_dof PASSED [  4%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_aic PASSED [  4%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_bic PASSED [  4%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_predict PASSED [  4%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_predict_xb PASSED [  4%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_loglikeobs PASSED [  4%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_jac PASSED [  4%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_pred_table PASSED [  4%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_resid_dev PASSED [  4%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_resid_generalized PASSED [  4%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_resid_response PASSED [  4%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_fit_regularized_invalid_method PASSED [  4%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_params PASSED [  4%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_conf_int PASSED [  4%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_zstat PASSED [  4%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_pvalues PASSED [  4%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_cov_params PASSED [  4%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_llf PASSED [  4%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_llnull PASSED [  4%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_llr PASSED [  4%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_llr_pvalue PASSED [  4%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_normalized_cov_params XFAIL [  4%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_bse PASSED [  4%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_dof PASSED [  4%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_aic PASSED [  4%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_bic PASSED [  4%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_predict PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_predict_xb PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_loglikeobs PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_jac PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_pred_table PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_resid_dev PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_resid_generalized PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_resid_response PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_fit_regularized_invalid_method PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_params PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_conf_int PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_zstat PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_pvalues PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_cov_params PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_llf PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_llnull PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_llr PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_llr_pvalue PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_normalized_cov_params XFAIL [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_bse PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_dof PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_aic PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_bic PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_predict PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_predict_xb PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_loglikeobs PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_jac PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_pred_table PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_resid_dev PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_resid_generalized PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_resid_response PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_fit_regularized_invalid_method PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_params PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_conf_int PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_zstat PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_pvalues PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_cov_params PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_llf PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_llnull PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_llr PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_llr_pvalue PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_normalized_cov_params XFAIL [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_bse PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_dof PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_aic PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_bic PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_predict PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_predict_xb PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_loglikeobs PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_jac PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_pred_table PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_resid_dev PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_resid_generalized PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_resid_response PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_fit_regularized_invalid_method PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_params PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_conf_int PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_zstat PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_pvalues PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_cov_params PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_llf PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_llnull PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_llr PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_llr_pvalue PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_normalized_cov_params XFAIL [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_bse PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_dof PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_aic PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_bic PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_predict PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_predict_xb PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_loglikeobs PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_jac PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_pred_table PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_resid_dev PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_resid_generalized PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_resid_response PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_fit_regularized_invalid_method PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_params PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_conf_int PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_zstat PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_pvalues PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_cov_params PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_llf PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_llnull PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_llr PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_llr_pvalue PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_normalized_cov_params XFAIL [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_bse PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_dof PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_aic PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_bic PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_predict PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_predict_xb PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_loglikeobs PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_jac PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_pred_table PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_resid_dev PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_resid_generalized PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_resid_response PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_fit_regularized_invalid_method PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_params PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_conf_int PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_zstat PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_pvalues PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_cov_params PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_llf PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_llnull PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_llr PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_llr_pvalue PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_normalized_cov_params XFAIL [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_bse PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_dof PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_aic PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_bic PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_predict PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_predict_xb PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_loglikeobs PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_jac PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_pred_table PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_resid_dev PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_resid_generalized PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_resid_response PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_fit_regularized_invalid_method PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_params PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_conf_int PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_zstat PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_pvalues PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_cov_params PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_llf PASSED [  5%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_llnull PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_llr PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_llr_pvalue PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_normalized_cov_params XFAIL [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_bse PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_dof PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_aic PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_bic PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_predict PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_predict_xb PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_loglikeobs PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_jac PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_pred_table PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_resid_dev PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_resid_generalized PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_resid_response PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_fit_regularized_invalid_method PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_params PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_conf_int PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_zstat PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_pvalues PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_cov_params PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_llf PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_llnull PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_llr PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_llr_pvalue PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_normalized_cov_params XFAIL [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_bse PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_dof PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_aic PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_bic PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_predict PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_predict_xb PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_loglikeobs PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_jac PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_pred_table PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_resid_dev PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_resid_generalized PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_resid_response PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitL1::test_params PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitL1::test_conf_int PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitL1::test_bse PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitL1::test_nnz_params PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitL1::test_aic PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitL1::test_bic PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitL1::test_cov_params PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitL1::test_params PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitL1::test_conf_int PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitL1::test_bse PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitL1::test_nnz_params PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitL1::test_aic PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitL1::test_bic PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitL1::test_params PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitL1::test_conf_int PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitL1::test_bse PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitL1::test_nnz_params PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitL1::test_aic PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitL1::test_bic PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitL1::test_cov_params PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestCVXOPT::test_cvxopt_versus_slsqp PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestSweepAlphaL1::test_sweep_alpha PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestPoissonL1Compatability::test_params PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestPoissonL1Compatability::test_cov_params PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestPoissonL1Compatability::test_df PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestPoissonL1Compatability::test_t_test PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestPoissonL1Compatability::test_f_test PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestPoissonL1Compatability::test_bad_r_matrix PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialL1Compatability::test_params PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialL1Compatability::test_cov_params PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialL1Compatability::test_df PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialL1Compatability::test_t_test PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialL1Compatability::test_f_test PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialL1Compatability::test_bad_r_matrix PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeoL1Compatability::test_params PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeoL1Compatability::test_cov_params PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeoL1Compatability::test_df PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeoL1Compatability::test_t_test PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeoL1Compatability::test_f_test PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeoL1Compatability::test_bad_r_matrix PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitL1Compatability::test_params PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitL1Compatability::test_cov_params PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitL1Compatability::test_df PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitL1Compatability::test_t_test PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitL1Compatability::test_f_test PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitL1Compatability::test_bad_r_matrix PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitL1Compatability::test_params PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitL1Compatability::test_cov_params PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitL1Compatability::test_df PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitL1Compatability::test_bad_r_matrix PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitL1Compatability::test_t_test PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitL1Compatability::test_f_test SKIPPED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitL1Compatability::test_params PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitL1Compatability::test_cov_params PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitL1Compatability::test_df PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitL1Compatability::test_t_test PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitL1Compatability::test_f_test PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitL1Compatability::test_bad_r_matrix PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestL1AlphaZeroLogit::test_basic_results PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestL1AlphaZeroLogit::test_tests PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestL1AlphaZeroLogit::test_converged PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestL1AlphaZeroProbit::test_basic_results PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestL1AlphaZeroProbit::test_tests PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestL1AlphaZeroMNLogit::test_basic_results PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_fit_regularized_invalid_method PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_params PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_conf_int PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_zstat PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_pvalues PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_cov_params PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_llf PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_llnull PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_llr PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_llr_pvalue PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_normalized_cov_params XFAIL [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_bse PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_dof PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_aic PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_bic PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_predict PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_predict_xb PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_loglikeobs PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_jac PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_pred_table PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_resid_dev PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_resid_generalized PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_resid_response PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_dydxoverall PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_dydxmean PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_dydxmedian PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_dydxzero PASSED [  6%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_dyexoverall PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_dyexmean PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_dyexmedian PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_dyexzero PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_eydxoverall PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_eydxmean PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_eydxmedian PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_eydxzero PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_eyexoverall PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_eyexmean PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_eyexmedian PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_eyexzero PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_dummy_dydxoverall PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_dummy_dydxmean PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_dummy_eydxoverall PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_dummy_eydxmean PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_count_dydxoverall PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_count_dydxmean PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_count_dummy_dydxoverall PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_count_dummy_dydxmean PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_resid_pearson PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_exog1 PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_exog2 PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_dummy_exog1 PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_dummy_exog2 PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_dydxoverall PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_dydxmean PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_dydxmedian PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_dydxzero PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_dyexoverall PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_dyexmean PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_dyexmedian PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_dyexzero PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_eydxoverall PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_eydxmean PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_eydxmedian PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_eydxzero PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_eyexoverall PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_eyexmean PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_eyexmedian PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_eyexzero PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_dummy_dydxoverall PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_dummy_dydxmean PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_dummy_eydxoverall PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_dummy_eydxmean PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_count_dydxoverall PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_count_dydxmean PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_count_dummy_dydxoverall PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_count_dummy_dydxmean PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_resid_pearson PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_exog1 PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_exog2 PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_dummy_exog1 PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_dummy_exog2 PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_fit_regularized_invalid_method PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_params PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_conf_int PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_zstat PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_pvalues PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_cov_params PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_llf PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_llnull PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_llr PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_llr_pvalue PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_normalized_cov_params XFAIL [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_bse PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_dof PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_aic PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_bic PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_predict PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_predict_xb PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_loglikeobs PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_jac PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_pred_table PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_resid_dev PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_resid_generalized PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_resid_response PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_dydxoverall PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_dydxmean PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_dydxmedian PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_dydxzero PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_dyexoverall PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_dyexmean PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_dyexmedian PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_dyexzero PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_eydxoverall PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_eydxmean PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_eydxmedian PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_eydxzero PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_eyexoverall PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_eyexmean PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_eyexmedian PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_eyexzero PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_dummy_dydxoverall PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_dummy_dydxmean PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_dummy_eydxoverall PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_dummy_eydxmean PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_count_dydxoverall PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_count_dydxmean PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_count_dummy_dydxoverall PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_count_dummy_dydxmean PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_fit_regularized_invalid_method PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_params PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_conf_int PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_zstat PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_pvalues PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_llf PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_llnull PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_llr PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_llr_pvalue PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_normalized_cov_params XFAIL [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_bse PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_dof PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_aic PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_bic PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_predict PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_predict_xb PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_loglikeobs PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_jac PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_margeff_overall PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_margeff_dummy_overall PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_resid PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_predict_prob PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_cov_params XFAIL [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_fit_regularized_invalid_method PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_cov_params SKIPPED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_llf PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_llnull PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_llr PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_llr_pvalue PASSED [  7%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_normalized_cov_params XFAIL [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_dof PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_aic PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_bic PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_loglikeobs PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_jac PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_pvalues XFAIL [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_bse PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_params PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_alpha PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_conf_int PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_zstat PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_fittedvalues PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_predict PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_predict_xb PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_fit_regularized_invalid_method PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_cov_params SKIPPED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_llf PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_llnull PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_llr PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_llr_pvalue PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_normalized_cov_params XFAIL [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_bse PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_dof PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_aic PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_bic PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_loglikeobs PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_jac PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_pvalues XFAIL [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_zstat PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_lnalpha PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_params PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_conf_int PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_predict XFAIL [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_predict_xb XFAIL [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_fit_regularized_invalid_method PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_cov_params SKIPPED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_llf PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_llnull PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_llr PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_llr_pvalue PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_normalized_cov_params XFAIL [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_dof PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_aic PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_bic PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_loglikeobs PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_jac PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_pvalues XFAIL [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_bse PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_params PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_alpha PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_conf_int PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_zstat PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_fittedvalues PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_predict PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_predict_xb PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_fit_regularized_invalid_method PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_cov_params SKIPPED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_llf PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_llnull PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_llr PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_llr_pvalue PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_normalized_cov_params XFAIL [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_bse PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_dof PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_aic PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_bic PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_loglikeobs PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_jac PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_pvalues XFAIL [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_zstat PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_lnalpha PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_params PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_conf_int PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_predict XFAIL [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_predict_xb XFAIL [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_fit_regularized_invalid_method PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_cov_params SKIPPED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_llnull PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_llr_pvalue PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_normalized_cov_params XFAIL [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_dof PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_loglikeobs PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_jac PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_pvalues XFAIL [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_aic PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_bic PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_conf_int PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_fittedvalues PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_predict PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_params PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_predict_xb PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_zstat PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_llf PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_llr PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_bse PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_fit_regularized_invalid_method PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_params PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_conf_int PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_zstat PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_pvalues PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_llf PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_llnull PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_llr PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_llr_pvalue PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_normalized_cov_params XFAIL [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_bse PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_dof PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_aic PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_bic PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_predict PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_predict_xb PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_loglikeobs PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_jac PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_margeff_overall PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_margeff_mean PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_margeff_dummy PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_j PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_k PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_endog_names PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_pred_table PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_resid PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_cov_params XFAIL [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_fit_regularized_invalid_method PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_params PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_conf_int PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_zstat PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_pvalues PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_llf PASSED [  8%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_llnull PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_llr PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_llr_pvalue PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_normalized_cov_params XFAIL [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_bse PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_dof PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_aic PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_bic PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_predict PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_predict_xb PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_loglikeobs PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_jac PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_margeff_overall PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_margeff_mean PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_margeff_dummy PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_j PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_k PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_endog_names PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_pred_table PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_resid PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_cov_params XFAIL [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::test_perfect_prediction PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::test_poisson_predict PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::test_poisson_newton PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::test_issue_339 PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::test_issue_341 PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::test_iscount PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::test_isdummy PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::test_non_binary PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::test_mnlogit_factor PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::test_mnlogit_factor_categorical PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::test_formula_missing_exposure PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::test_predict_with_exposure PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::test_binary_pred_table_zeros PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p2::test_bse PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p2::test_params PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p2::test_alpha PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p2::test_conf_int PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p2::test_aic PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p2::test_bic PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p2::test_df PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p2::test_llf PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p2::test_wald PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p2::test_t PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_transparams::test_bse PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_transparams::test_params PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_transparams::test_alpha PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_transparams::test_conf_int PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_transparams::test_aic PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_transparams::test_bic PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_transparams::test_df PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_transparams::test_llf PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p1::test_llf PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p1::test_score PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p1::test_hessian PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p1::test_t PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p1::test_fit_regularized PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p1::test_init_kwds PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_underdispersion::test_basic PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_underdispersion::test_newton PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_underdispersion::test_mean_var PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_underdispersion::test_predict_prob PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_fit_regularized_invalid_method PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_cov_params SKIPPED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_llf PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_llnull PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_llr PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_llr_pvalue PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_normalized_cov_params XFAIL [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_dof PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_aic PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_bic PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_loglikeobs PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_jac PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_pvalues XFAIL [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_bse PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_params PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_alpha PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_conf_int PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_zstat PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_fittedvalues PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_predict PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_predict_xb PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_fit_regularized_invalid_method PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_cov_params SKIPPED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_llf PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_llnull PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_llr PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_llr_pvalue PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_normalized_cov_params XFAIL [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_bse PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_dof PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_aic PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_bic PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_loglikeobs PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_jac PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_pvalues XFAIL [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_zstat PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_lnalpha PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_params PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_conf_int PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_predict PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_predict_xb PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_fit_regularized_invalid_method PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_cov_params SKIPPED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_llf PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_llnull PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_llr PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_llr_pvalue PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_normalized_cov_params XFAIL [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_dof PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_aic PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_bic PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_loglikeobs PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_jac PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_pvalues XFAIL [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_bse PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_params PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_alpha PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_conf_int PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_zstat PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_fittedvalues PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_predict PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_predict_xb PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_fit_regularized_invalid_method PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_cov_params SKIPPED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_llnull PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_llr_pvalue PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_normalized_cov_params XFAIL [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_dof PASSED [  9%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_loglikeobs PASSED [ 10%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_jac PASSED [ 10%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_pvalues XFAIL [ 10%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_bse PASSED [ 10%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_aic PASSED [ 10%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_bic PASSED [ 10%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_llf PASSED [ 10%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_llr PASSED [ 10%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_zstat PASSED [ 10%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_lnalpha PASSED [ 10%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_params PASSED [ 10%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_conf_int PASSED [ 10%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_predict PASSED [ 10%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_predict_xb PASSED [ 10%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_init_kwds PASSED [ 10%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPL1Compatability::test_params PASSED [ 10%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPL1Compatability::test_cov_params PASSED [ 10%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPL1Compatability::test_df PASSED [ 10%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPL1Compatability::test_t_test PASSED [ 10%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPL1Compatability::test_f_test PASSED [ 10%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPL1Compatability::test_bad_r_matrix PASSED [ 10%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPPredictProb::test_predict_prob_p1 PASSED [ 10%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPPredictProb::test_predict_prob_p2 PASSED [ 10%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestPoissonNull::test_llnull PASSED [ 10%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Null::test_llnull PASSED [ 10%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Null::test_llnull PASSED [ 10%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNBP2Null::test_llnull PASSED [ 10%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNBP1Null::test_llnull PASSED [ 10%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoissonNull::test_llnull PASSED [ 10%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::test_unchanging_degrees_of_freedom PASSED [ 10%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::test_mnlogit_float_name PASSED [ 10%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::test_cov_confint_pandas PASSED [ 10%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::test_t_test PASSED [ 10%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_margins.py::TestPoissonMargin::test_margins_table PASSED [ 10%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_margins.py::TestPoissonMarginDummy::test_margins_table PASSED [ 10%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_margins.py::TestNegBinMargin::test_margins_table PASSED [ 10%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_margins.py::TestNegBinMarginDummy::test_margins_table PASSED [ 10%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_margins.py::TestNegBinPMargin::test_margins_table PASSED [ 10%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonClu::test_basic PASSED [ 10%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonClu::test_oth PASSED [ 10%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonClu::test_ttest PASSED [ 10%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonClu::test_waldtest PASSED [ 10%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonCluGeneric::test_basic PASSED [ 10%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonCluGeneric::test_oth PASSED [ 10%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonCluGeneric::test_ttest PASSED [ 10%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonCluGeneric::test_waldtest PASSED [ 10%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonHC1Generic::test_basic PASSED [ 10%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonHC1Generic::test_oth PASSED [ 10%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonHC1Generic::test_waldtest PASSED [ 10%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonCluFit::test_basic PASSED [ 10%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonCluFit::test_waldtest PASSED [ 10%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonCluFit::test_basic_inference PASSED [ 10%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonHC1Fit::test_basic PASSED [ 10%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonHC1FitExposure::test_basic PASSED [ 10%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonHC1FitExposure::test_waldtest PASSED [ 10%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonCluExposure::test_basic PASSED [ 10%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonCluExposure::test_oth PASSED [ 10%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonCluExposure::test_waldtest PASSED [ 10%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonCluExposureGeneric::test_basic PASSED [ 10%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonCluExposureGeneric::test_oth PASSED [ 10%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonCluExposureGeneric::test_ttest PASSED [ 10%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonCluExposureGeneric::test_waldtest PASSED [ 10%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMPoissonClu::test_basic PASSED [ 10%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMPoissonClu::test_oth PASSED [ 10%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMPoissonClu::test_ttest PASSED [ 10%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMPoissonClu::test_waldtest PASSED [ 10%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMPoissonCluGeneric::test_basic PASSED [ 10%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMPoissonCluGeneric::test_oth PASSED [ 10%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMPoissonCluGeneric::test_ttest PASSED [ 10%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMPoissonCluGeneric::test_waldtest PASSED [ 10%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMPoissonHC1Generic::test_basic PASSED [ 10%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMPoissonHC1Generic::test_oth PASSED [ 10%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMPoissonHC1Generic::test_ttest PASSED [ 10%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMPoissonHC1Generic::test_waldtest PASSED [ 10%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMPoissonCluFit::test_basic PASSED [ 10%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMPoissonCluFit::test_oth PASSED [ 10%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMPoissonCluFit::test_ttest PASSED [ 10%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMPoissonCluFit::test_waldtest PASSED [ 10%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMPoissonHC1Fit::test_basic PASSED [ 10%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMPoissonHC1Fit::test_oth PASSED [ 10%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMPoissonHC1Fit::test_ttest PASSED [ 10%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMPoissonHC1Fit::test_waldtest PASSED [ 10%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestNegbinClu::test_basic PASSED [ 10%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestNegbinClu::test_oth PASSED [ 10%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestNegbinClu::test_ttest PASSED [ 10%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestNegbinClu::test_waldtest PASSED [ 10%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestNegbinCluExposure::test_basic PASSED [ 10%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestNegbinCluExposure::test_waldtest PASSED [ 10%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestNegbinCluGeneric::test_basic PASSED [ 10%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestNegbinCluGeneric::test_oth PASSED [ 10%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestNegbinCluGeneric::test_waldtest PASSED [ 10%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestNegbinCluFit::test_basic PASSED [ 10%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestNegbinCluFit::test_oth PASSED [ 10%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestNegbinCluFit::test_ttest PASSED [ 10%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestNegbinCluFit::test_waldtest PASSED [ 10%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestNegbinCluExposureFit::test_basic PASSED [ 10%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestNegbinCluExposureFit::test_oth PASSED [ 10%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestNegbinCluExposureFit::test_ttest PASSED [ 10%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestNegbinCluExposureFit::test_waldtest PASSED [ 10%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMLogit::test_basic PASSED [ 10%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMGaussNonRobust::test_basic PASSED [ 10%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMGaussHACUniform::test_cov_options PASSED [ 10%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMGaussHACUniform2::test_cov_options PASSED [ 10%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMGaussHACPanel::test_basic PASSED [ 10%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMGaussHACPanel::test_kwd PASSED [ 10%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMGaussHACPanelGroups::test_basic PASSED [ 10%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMGaussHACGroupsum::test_basic PASSED [ 11%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/distributions/tests/test_discrete.py::TestGenpoisson_p::test_pmf_p1 PASSED [ 11%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/distributions/tests/test_discrete.py::TestGenpoisson_p::test_pmf_p2 PASSED [ 11%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_margins_multinomial PASSED [ 13%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_margins_poisson PASSED [ 13%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_multinomial PASSED [ 13%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_weighted PASSED [ 13%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_poisson_epil PASSED [ 13%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_missing PASSED [ 13%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_logistic PASSED [ 13%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_autoregressive PASSED [ 13%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_post_estimation PASSED [ 13%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_scoretest PASSED [ 13%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_compare_score_test[Independence] PASSED [ 13%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_compare_score_test[Exchangeable] PASSED [ 13%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_compare_score_test_warnings PASSED [ 13%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_nominal_independence PASSED [ 13%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_gee.py::test_ql_diff[Gaussian] PASSED [ 13%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_gee.py::test_ql_diff[Binomial] PASSED [ 13%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_gee_glm.py::TestCompareLogit::test_basic PASSED [ 13%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_params PASSED [ 13%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_standard_errors PASSED [ 13%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_residuals PASSED [ 13%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_aic_R PASSED [ 13%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_aic_Stata PASSED [ 13%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_deviance PASSED [ 13%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_scale PASSED [ 13%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_loglike PASSED [ 13%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_null_deviance PASSED [ 13%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_bic PASSED [ 13%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_degrees PASSED [ 13%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_fittedvalues PASSED [ 13%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_tpvalues PASSED [ 13%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_pearson_chi2 PASSED [ 13%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_summary PASSED [ 13%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_summary2 PASSED [ 13%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_compare_OLS PASSED [ 13%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussianGradient::test_params PASSED [ 13%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussianGradient::test_standard_errors PASSED [ 13%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussianGradient::test_residuals PASSED [ 13%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussianGradient::test_aic_R PASSED [ 13%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussianGradient::test_aic_Stata PASSED [ 13%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussianGradient::test_deviance PASSED [ 13%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussianGradient::test_scale PASSED [ 13%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussianGradient::test_loglike PASSED [ 14%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussianGradient::test_null_deviance PASSED [ 14%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussianGradient::test_bic PASSED [ 14%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussianGradient::test_degrees PASSED [ 14%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussianGradient::test_fittedvalues PASSED [ 14%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussianGradient::test_tpvalues PASSED [ 14%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussianGradient::test_pearson_chi2 PASSED [ 14%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussianGradient::test_summary PASSED [ 14%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussianGradient::test_summary2 PASSED [ 14%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussianGradient::test_compare_OLS PASSED [ 14%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_params PASSED [ 14%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_standard_errors PASSED [ 14%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_residuals PASSED [ 14%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_aic_R PASSED [ 14%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_aic_Stata PASSED [ 14%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_deviance PASSED [ 14%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_scale PASSED [ 14%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_loglike PASSED [ 14%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_null_deviance PASSED [ 14%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_bic PASSED [ 14%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_degrees PASSED [ 14%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_fittedvalues PASSED [ 14%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_tpvalues PASSED [ 14%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_pearson_chi2 PASSED [ 14%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_summary PASSED [ 14%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_summary2 PASSED [ 14%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGaussianInverse::test_params PASSED [ 14%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGaussianInverse::test_standard_errors PASSED [ 14%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGaussianInverse::test_residuals PASSED [ 14%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGaussianInverse::test_aic_R PASSED [ 14%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGaussianInverse::test_aic_Stata PASSED [ 14%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGaussianInverse::test_deviance PASSED [ 14%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGaussianInverse::test_scale PASSED [ 14%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGaussianInverse::test_loglike PASSED [ 14%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGaussianInverse::test_null_deviance PASSED [ 14%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGaussianInverse::test_bic PASSED [ 14%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGaussianInverse::test_degrees PASSED [ 14%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGaussianInverse::test_fittedvalues PASSED [ 14%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGaussianInverse::test_tpvalues PASSED [ 14%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGaussianInverse::test_pearson_chi2 PASSED [ 14%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGaussianInverse::test_summary PASSED [ 14%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGaussianInverse::test_summary2 PASSED [ 14%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBinomial::test_params PASSED [ 14%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBinomial::test_standard_errors PASSED [ 14%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBinomial::test_residuals PASSED [ 14%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBinomial::test_aic_R PASSED [ 14%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBinomial::test_aic_Stata PASSED [ 14%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBinomial::test_deviance PASSED [ 14%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBinomial::test_scale PASSED [ 14%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBinomial::test_loglike PASSED [ 14%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBinomial::test_null_deviance PASSED [ 14%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBinomial::test_bic PASSED [ 14%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBinomial::test_degrees PASSED [ 14%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBinomial::test_fittedvalues PASSED [ 14%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBinomial::test_tpvalues PASSED [ 14%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBinomial::test_pearson_chi2 PASSED [ 14%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBinomial::test_summary PASSED [ 14%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBinomial::test_summary2 PASSED [ 14%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBinomial::test_endog_dtype PASSED [ 14%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBinomial::test_invalid_endog PASSED [ 14%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBinomial::test_invalid_endog_formula PASSED [ 14%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBernoulli::test_params PASSED [ 14%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBernoulli::test_standard_errors PASSED [ 14%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBernoulli::test_aic_R PASSED [ 14%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBernoulli::test_aic_Stata PASSED [ 14%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBernoulli::test_deviance PASSED [ 14%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBernoulli::test_scale PASSED [ 14%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBernoulli::test_loglike PASSED [ 14%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBernoulli::test_null_deviance PASSED [ 14%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBernoulli::test_degrees PASSED [ 14%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBernoulli::test_fittedvalues PASSED [ 14%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBernoulli::test_pearson_chi2 PASSED [ 14%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGamma::test_deviance PASSED [ 14%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGammaIdentity::test_deviance PASSED [ 14%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGammaIdentity::test_scale PASSED [ 14%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGammaIdentity::test_loglike PASSED [ 14%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgauss::test_aic_Stata PASSED [ 15%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgauss::test_deviance PASSED [ 15%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgauss::test_scale PASSED [ 15%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgauss::test_loglike PASSED [ 15%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgauss::test_null_deviance PASSED [ 15%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgauss::test_degrees PASSED [ 15%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgauss::test_fittedvalues PASSED [ 15%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgauss::test_pearson_chi2 PASSED [ 15%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussLog::test_params PASSED [ 15%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussLog::test_aic_Stata PASSED [ 15%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussLog::test_deviance PASSED [ 15%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussLog::test_scale PASSED [ 15%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussLog::test_loglike PASSED [ 15%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussLog::test_null_deviance PASSED [ 15%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussLog::test_bic PASSED [ 15%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussLog::test_degrees PASSED [ 15%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussLog::test_fittedvalues PASSED [ 15%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussLog::test_tpvalues PASSED [ 15%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussLog::test_pearson_chi2 PASSED [ 15%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussIdentity::test_params PASSED [ 15%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussIdentity::test_standard_errors PASSED [ 15%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussIdentity::test_residuals PASSED [ 15%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussIdentity::test_aic_R PASSED [ 15%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussIdentity::test_aic_Stata PASSED [ 15%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussIdentity::test_deviance PASSED [ 15%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussIdentity::test_scale PASSED [ 15%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussIdentity::test_loglike PASSED [ 15%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussIdentity::test_null_deviance PASSED [ 15%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussIdentity::test_degrees PASSED [ 15%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussIdentity::test_fittedvalues PASSED [ 15%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussIdentity::test_tpvalues PASSED [ 15%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussIdentity::test_pearson_chi2 PASSED [ 15%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussIdentity::test_summary PASSED [ 15%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussIdentity::test_summary2 PASSED [ 15%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmNegbinomial::test_params PASSED [ 15%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmNegbinomial::test_aic_Stata PASSED [ 15%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmNegbinomial::test_deviance PASSED [ 15%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmNegbinomial::test_scale PASSED [ 15%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmNegbinomial::test_loglike PASSED [ 15%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmNegbinomial::test_null_deviance PASSED [ 15%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmNegbinomial::test_bic PASSED [ 15%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmNegbinomial::test_degrees PASSED [ 15%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmNegbinomial::test_fittedvalues PASSED [ 15%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmNegbinomial::test_tpvalues PASSED [ 15%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmNegbinomial::test_pearson_chi2 PASSED [ 15%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmNegbinomial::test_summary PASSED [ 15%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmNegbinomial::test_summary2 PASSED [ 15%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmPoissonOffset::test_params PASSED [ 15%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmPoissonOffset::test_standard_errors PASSED [ 15%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmPoissonOffset::test_residuals PASSED [ 15%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmPoissonOffset::test_aic_R PASSED [ 15%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmPoissonOffset::test_aic_Stata PASSED [ 15%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmPoissonOffset::test_deviance PASSED [ 15%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmPoissonOffset::test_scale PASSED [ 15%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmPoissonOffset::test_loglike PASSED [ 15%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmPoissonOffset::test_null_deviance PASSED [ 15%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmPoissonOffset::test_bic PASSED [ 15%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmPoissonOffset::test_degrees PASSED [ 15%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmPoissonOffset::test_fittedvalues PASSED [ 15%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmPoissonOffset::test_tpvalues PASSED [ 15%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmPoissonOffset::test_pearson_chi2 PASSED [ 15%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmPoissonOffset::test_summary PASSED [ 15%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmPoissonOffset::test_summary2 PASSED [ 15%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmPoissonOffset::test_missing PASSED [ 15%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmPoissonOffset::test_offset_exposure PASSED [ 15%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmPoissonOffset::test_predict PASSED [ 15%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::test_perfect_pred PASSED [ 15%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::test_score_test_ols PASSED [ 15%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::test_attribute_writable_resettable PASSED [ 15%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestStartParams::test_params PASSED [ 15%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestStartParams::test_standard_errors PASSED [ 15%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestStartParams::test_residuals PASSED [ 15%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestStartParams::test_aic_R PASSED [ 15%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestStartParams::test_aic_Stata PASSED [ 15%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestStartParams::test_deviance PASSED [ 15%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestStartParams::test_scale PASSED [ 15%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestStartParams::test_loglike PASSED [ 15%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestStartParams::test_null_deviance PASSED [ 15%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestStartParams::test_bic PASSED [ 15%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestStartParams::test_degrees PASSED [ 15%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestStartParams::test_fittedvalues PASSED [ 15%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestStartParams::test_tpvalues PASSED [ 15%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestStartParams::test_pearson_chi2 PASSED [ 15%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestStartParams::test_summary PASSED [ 15%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::test_plots PASSED [ 15%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::test_summary PASSED [ 15%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::test_gradient_irls PASSED [ 15%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoisson::test_params PASSED [ 15%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoisson::test_standard_errors PASSED [ 15%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoisson::test_aic PASSED [ 15%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoisson::test_deviance PASSED [ 15%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoisson::test_scale PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoisson::test_loglike PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoisson::test_null_deviance PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoisson::test_bic PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoisson::test_fittedvalues PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoisson::test_tpvalues PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonNewton::test_params PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonNewton::test_standard_errors PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonNewton::test_aic PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonNewton::test_deviance PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonNewton::test_scale PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonNewton::test_loglike PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonNewton::test_null_deviance PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonNewton::test_bic PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonNewton::test_fittedvalues PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonNewton::test_tpvalues PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonHC0::test_params PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonHC0::test_standard_errors PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonHC0::test_aic PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonHC0::test_deviance PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonHC0::test_scale PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonHC0::test_loglike PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonHC0::test_null_deviance PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonHC0::test_bic PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonHC0::test_fittedvalues PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonHC0::test_tpvalues PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonClu::test_params PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonClu::test_standard_errors PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonClu::test_aic PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonClu::test_deviance PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonClu::test_scale PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonClu::test_loglike PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonClu::test_null_deviance PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonClu::test_bic PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonClu::test_fittedvalues PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonClu::test_tpvalues PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmBinomial::test_params PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmBinomial::test_standard_errors PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmBinomial::test_aic PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmBinomial::test_deviance PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmBinomial::test_scale PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmBinomial::test_loglike PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmBinomial::test_null_deviance PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmBinomial::test_bic PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmBinomial::test_fittedvalues PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmBinomial::test_tpvalues PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmNegativeBinomial::test_params PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmNegativeBinomial::test_standard_errors PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmNegativeBinomial::test_aic PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmNegativeBinomial::test_deviance PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmNegativeBinomial::test_scale PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmNegativeBinomial::test_loglike PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmNegativeBinomial::test_null_deviance PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmNegativeBinomial::test_bic PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmNegativeBinomial::test_fittedvalues PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmNegativeBinomial::test_tpvalues PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGamma::test_params PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGamma::test_standard_errors PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGamma::test_aic PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGamma::test_deviance PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGamma::test_scale PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGamma::test_loglike PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGamma::test_null_deviance PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGamma::test_bic PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGamma::test_fittedvalues PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGamma::test_tpvalues PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGaussian::test_params PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGaussian::test_standard_errors PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGaussian::test_aic PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGaussian::test_deviance PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGaussian::test_scale PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGaussian::test_loglike PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGaussian::test_null_deviance PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGaussian::test_bic PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGaussian::test_fittedvalues PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGaussian::test_tpvalues PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmInverseGaussian::test_params PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmInverseGaussian::test_standard_errors PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmInverseGaussian::test_aic PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmInverseGaussian::test_deviance PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmInverseGaussian::test_scale PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmInverseGaussian::test_loglike PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmInverseGaussian::test_null_deviance PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmInverseGaussian::test_bic PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmInverseGaussian::test_fittedvalues PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmInverseGaussian::test_tpvalues PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaNewton::test_params PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaNewton::test_standard_errors PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaNewton::test_aic PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaNewton::test_deviance PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaNewton::test_scale PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaNewton::test_loglike PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaNewton::test_null_deviance PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaNewton::test_bic PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaNewton::test_fittedvalues PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaNewton::test_tpvalues PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaScale_X2::test_params PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaScale_X2::test_standard_errors PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaScale_X2::test_aic PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaScale_X2::test_deviance PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaScale_X2::test_scale PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaScale_X2::test_loglike PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaScale_X2::test_null_deviance PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaScale_X2::test_bic PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaScale_X2::test_fittedvalues PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaScale_X2::test_tpvalues PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaScale_dev::test_params PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaScale_dev::test_standard_errors PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaScale_dev::test_aic PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaScale_dev::test_deviance PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaScale_dev::test_scale PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaScale_dev::test_loglike PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaScale_dev::test_null_deviance PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaScale_dev::test_bic PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaScale_dev::test_fittedvalues PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaScale_dev::test_tpvalues PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaScale_dev::test_missing PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdTweedieLog::test_params PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdTweedieLog::test_standard_errors PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdTweedieLog::test_aic PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdTweedieLog::test_deviance PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdTweedieLog::test_scale PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdTweedieLog::test_loglike PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdTweedieLog::test_null_deviance PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdTweedieLog::test_bic PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdTweedieLog::test_fittedvalues PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdTweedieLog::test_tpvalues PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdTweediePower2::test_params PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdTweediePower2::test_standard_errors PASSED [ 16%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdTweediePower2::test_aic PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdTweediePower2::test_deviance PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdTweediePower2::test_scale PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdTweediePower2::test_loglike PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdTweediePower2::test_null_deviance PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdTweediePower2::test_bic PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdTweediePower2::test_fittedvalues PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdTweediePower2::test_tpvalues PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdTweediePower15::test_params PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdTweediePower15::test_standard_errors PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdTweediePower15::test_aic PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdTweediePower15::test_deviance PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdTweediePower15::test_scale PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdTweediePower15::test_loglike PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdTweediePower15::test_null_deviance PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdTweediePower15::test_bic PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdTweediePower15::test_fittedvalues PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdTweediePower15::test_tpvalues PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::test_wtd_patsy_missing PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestTweediePower15::test_resid PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestTweediePower15::test_bse PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestTweediePower15::test_params PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestTweediePower15::test_deviance PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestTweediePower15::test_df PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestTweediePower15::test_fittedvalues PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestTweediePower15::test_summary PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestTweediePower2::test_resid PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestTweediePower2::test_bse PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestTweediePower2::test_params PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestTweediePower2::test_deviance PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestTweediePower2::test_df PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestTweediePower2::test_fittedvalues PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestTweediePower2::test_summary PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestTweedieLog1::test_resid PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestTweedieLog1::test_bse PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestTweedieLog1::test_params PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestTweedieLog1::test_deviance PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestTweedieLog1::test_df PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestTweedieLog1::test_fittedvalues PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestTweedieLog1::test_summary PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestTweedieLog15Fair::test_resid PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestTweedieLog15Fair::test_bse PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestTweedieLog15Fair::test_params PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestTweedieLog15Fair::test_deviance PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestTweedieLog15Fair::test_df PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestTweedieLog15Fair::test_fittedvalues PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestTweedieLog15Fair::test_summary PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestTweedieSpecialLog0::test_mu PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestTweedieSpecialLog0::test_resid PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestTweedieSpecialLog1::test_mu PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestTweedieSpecialLog1::test_resid PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestTweedieSpecialLog2::test_mu PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestTweedieSpecialLog2::test_resid PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestTweedieSpecialLog3::test_mu PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestTweedieSpecialLog3::test_resid PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::test_tweedie_EQL PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::test_tweedie_EQL_poisson_limit PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::test_tweedie_EQL_upper_limit PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::testTweediePowerEstimate PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::test_glm_lasso_6431 PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestRegularized::test_regularized PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestConvergence::test_convergence_atol_only PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestConvergence::test_convergence_rtol_only PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestConvergence::test_convergence_atol_rtol PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestConvergence::test_convergence_atol_only_params PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestConvergence::test_convergence_rtol_only_params PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestConvergence::test_convergence_atol_rtol_params PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::test_poisson_deviance PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm.py::test_non_invertible_hessian_fails_summary PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonPlain::test_basic PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonPlain::test_residuals PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonPlain::test_compare_optimizers PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonPlain::test_pearson_chi2 PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonFwNr::test_basic PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonFwNr::test_residuals PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonFwNr::test_compare_optimizers PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonFwNr::test_pearson_chi2 PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonAwNr::test_basic PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonAwNr::test_residuals PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonAwNr::test_compare_optimizers PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonAwNr::test_pearson_chi2 PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonPwNr::test_residuals PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonPwNr::test_pearson_chi2 PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonPwNr::test_basic XFAIL [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonPwNr::test_compare_optimizers XFAIL [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonFwHC::test_basic PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonFwHC::test_residuals PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonFwHC::test_compare_optimizers PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonFwHC::test_pearson_chi2 PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonAwHC::test_basic PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonAwHC::test_residuals PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonAwHC::test_compare_optimizers PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonAwHC::test_pearson_chi2 PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonFwClu::test_basic PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonFwClu::test_residuals PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonFwClu::test_compare_optimizers PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonFwClu::test_pearson_chi2 PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmTweedieAwNr::test_basic PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmTweedieAwNr::test_residuals PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmTweedieAwNr::test_compare_optimizers PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmTweedieAwNr::test_pearson_chi2 PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmGammaAwNr::test_basic PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmGammaAwNr::test_residuals PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmGammaAwNr::test_compare_optimizers PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmGammaAwNr::test_pearson_chi2 PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmGammaAwNr::test_r_llf PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmGaussianAwNr::test_basic PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmGaussianAwNr::test_residuals PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmGaussianAwNr::test_compare_optimizers PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmGaussianAwNr::test_pearson_chi2 PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmGaussianAwNr::test_r_llf PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::test_wtd_gradient_irls PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestRepeatedvsAggregated::test_basic PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestRepeatedvsAggregated::test_residuals PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestRepeatedvsAggregated::test_compare_optimizers PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestRepeatedvsAggregated::test_pearson_chi2 PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestRepeatedvsAverage::test_basic PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestRepeatedvsAverage::test_residuals PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestRepeatedvsAverage::test_compare_optimizers PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestRepeatedvsAverage::test_pearson_chi2 PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestTweedieRepeatedvsAggregated::test_basic PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestTweedieRepeatedvsAggregated::test_residuals PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestTweedieRepeatedvsAggregated::test_compare_optimizers PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestTweedieRepeatedvsAggregated::test_pearson_chi2 PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestTweedieRepeatedvsAverage::test_basic PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestTweedieRepeatedvsAverage::test_residuals PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestTweedieRepeatedvsAverage::test_compare_optimizers PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestTweedieRepeatedvsAverage::test_pearson_chi2 PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestBinomial0RepeatedvsAverage::test_basic PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestBinomial0RepeatedvsAverage::test_residuals PASSED [ 17%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestBinomial0RepeatedvsAverage::test_compare_optimizers PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestBinomial0RepeatedvsAverage::test_pearson_chi2 PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestBinomial0RepeatedvsDuplicated::test_basic PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestBinomial0RepeatedvsDuplicated::test_residuals PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestBinomial0RepeatedvsDuplicated::test_compare_optimizers PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestBinomial0RepeatedvsDuplicated::test_pearson_chi2 PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::test_warnings_raised PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::test_weights_different_formats[list] PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::test_weights_different_formats[ndarray] PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::test_weights_different_formats[Series] PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestBinomialVsVarWeights::test_basic PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestBinomialVsVarWeights::test_residuals PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestBinomialVsVarWeights::test_compare_optimizers PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestBinomialVsVarWeights::test_pearson_chi2 PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmGaussianWLS::test_basic PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmGaussianWLS::test_residuals PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmGaussianWLS::test_compare_optimizers PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmGaussianWLS::test_pearson_chi2 PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::test_incompatible_input PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::test_poisson_residuals PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_qif.py::test_qif_numdiff[cov_struct0-fam0] PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_qif.py::test_qif_numdiff[cov_struct0-fam1] PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_qif.py::test_qif_numdiff[cov_struct0-fam2] PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_qif.py::test_qif_numdiff[cov_struct1-fam0] PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_qif.py::test_qif_numdiff[cov_struct1-fam1] PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_qif.py::test_qif_numdiff[cov_struct1-fam2] PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_qif.py::test_qif_numdiff[cov_struct2-fam0] PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_qif.py::test_qif_numdiff[cov_struct2-fam1] PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_qif.py::test_qif_numdiff[cov_struct2-fam2] PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_qif.py::test_qif_fit[cov_struct0-fam0] PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_qif.py::test_qif_fit[cov_struct0-fam1] PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_qif.py::test_qif_fit[cov_struct0-fam2] PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_qif.py::test_qif_fit[cov_struct1-fam0] PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_qif.py::test_qif_fit[cov_struct1-fam1] PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_qif.py::test_qif_fit[cov_struct1-fam2] PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_qif.py::test_qif_fit[cov_struct2-fam0] PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_qif.py::test_qif_fit[cov_struct2-fam1] PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_qif.py::test_qif_fit[cov_struct2-fam2] PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_qif.py::test_formula[cov_struct0] PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_qif.py::test_formula[cov_struct1] PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_qif.py::test_formula[cov_struct2] PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_score_test.py::TestScoreTest::test_wald_score PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_score_test.py::TestScoreTest::test_dispersion PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_score_test.py::TestScoreTestDispersed::test_wald_score PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_score_test.py::TestScoreTestDispersed::test_dispersion PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_score_test.py::TestScoreTestPoisson::test_dispersion PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_score_test.py::TestScoreTestPoisson::test_wald_score PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_score_test.py::TestScoreTestPoissonDispersed::test_dispersion PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/genmod/tests/test_score_test.py::TestScoreTestPoissonDispersed::test_wald_score PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_agreement.py::test_mean_diff_plot PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_boxplots.py::test_violinplot PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_boxplots.py::test_violinplot_bw_factor PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_boxplots.py::test_beanplot PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_boxplots.py::test_beanplot_jitter PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_boxplots.py::test_beanplot_side_right PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_boxplots.py::test_beanplot_side_left PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_boxplots.py::test_beanplot_legend_text PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_correlation.py::test_plot_corr PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_correlation.py::test_plot_corr_grid PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_dotplot.py::test_all PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_factorplots.py::TestInteractionPlot::test_plot_both PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_factorplots.py::TestInteractionPlot::test_plot_rainbow PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_factorplots.py::TestInteractionPlot::test_plot_pandas[str] PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_factorplots.py::TestInteractionPlot::test_plot_pandas[int] PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_factorplots.py::TestInteractionPlot::test_formatting PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_factorplots.py::TestInteractionPlot::test_formatting_errors PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_factorplots.py::TestInteractionPlot::test_plottype PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_factorplots.py::TestInteractionPlot::test_recode_series PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_functional.py::test_hdr_basic PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_functional.py::test_hdr_basic_brute PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_functional.py::test_hdr_plot PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_functional.py::test_hdr_alpha PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_functional.py::test_hdr_multiple_alpha PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_functional.py::test_hdr_threshold PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_functional.py::test_hdr_bw PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_functional.py::test_hdr_ncomp PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_functional.py::test_banddepth_BD2 PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_functional.py::test_banddepth_MBD PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_functional.py::test_fboxplot_rainbowplot PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongely::test_qqplot PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongely::test_ppplot PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongely::test_probplot PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongely::test_qqplot_other_array PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongely::test_ppplot_other_array PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongely::test_probplot_other_array XFAIL [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongely::test_qqplot_other_prbplt PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongely::test_ppplot_other_prbplt PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongely::test_probplot_other_prbplt XFAIL [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongely::test_qqplot_custom_labels PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongely::test_ppplot_custom_labels PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongely::test_probplot_custom_labels PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongely::test_qqplot_pltkwargs PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongely::test_ppplot_pltkwargs PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongely::test_probplot_pltkwargs PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongely::test_fit_params PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_qqplot PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_ppplot PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_probplot PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_qqplot_other_array PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_ppplot_other_array PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_probplot_other_array XFAIL [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_qqplot_other_prbplt PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_ppplot_other_prbplt PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_probplot_other_prbplt XFAIL [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_qqplot_custom_labels PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_ppplot_custom_labels PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_probplot_custom_labels PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_qqplot_pltkwargs PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_ppplot_pltkwargs PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_probplot_pltkwargs PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_fit_params PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_qqplot PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_ppplot PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_probplot PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_qqplot_other_array PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_ppplot_other_array PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_probplot_other_array XFAIL [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_qqplot_other_prbplt PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_ppplot_other_prbplt PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_probplot_other_prbplt XFAIL [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_qqplot_custom_labels PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_ppplot_custom_labels PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_probplot_custom_labels PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_qqplot_pltkwargs PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_ppplot_pltkwargs PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_probplot_pltkwargs PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_fit_params PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScale::test_qqplot PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScale::test_ppplot PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScale::test_probplot PASSED [ 18%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScale::test_qqplot_other_array PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScale::test_ppplot_other_array PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScale::test_probplot_other_array XFAIL [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScale::test_qqplot_other_prbplt PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScale::test_ppplot_other_prbplt PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScale::test_probplot_other_prbplt XFAIL [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScale::test_qqplot_custom_labels PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScale::test_ppplot_custom_labels PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScale::test_probplot_custom_labels PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScale::test_qqplot_pltkwargs PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScale::test_ppplot_pltkwargs PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScale::test_probplot_pltkwargs PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScale::test_fit_params PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScale::test_loc_set PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScale::test_scale_set PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestCompareSamplesDifferentSize::test_qqplot PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestCompareSamplesDifferentSize::test_ppplot PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_qqplot PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_ppplot PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_probplot PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_qqplot_other_array PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_ppplot_other_array PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_probplot_other_array XFAIL [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_qqplot_other_prbplt PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_ppplot_other_prbplt PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_probplot_other_prbplt XFAIL [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_qqplot_custom_labels PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_ppplot_custom_labels PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_probplot_custom_labels PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_qqplot_pltkwargs PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_ppplot_pltkwargs PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_probplot_pltkwargs PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_fit_params PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_loc_set PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_scale_set PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_loc_set_in_dist PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_scale_set_in_dist PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestTopLevel::test_qqplot PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestTopLevel::test_qqplot_pltkwargs PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestTopLevel::test_qqplot_2samples_ProbPlotObjects PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestTopLevel::test_qqplot_2samples_arrays PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::test_invalid_dist_config PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_mosaicplot.py::test_data_conversion PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_mosaicplot.py::test_mosaic_simple PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_mosaicplot.py::test_mosaic PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_mosaicplot.py::test_mosaic_very_complex PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_mosaicplot.py::test_axes_labeling PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_mosaicplot.py::test_mosaic_empty_cells PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_mosaicplot.py::test_recursive_split PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_mosaicplot.py::test__reduce_dict PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_mosaicplot.py::test__key_splitting PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_mosaicplot.py::test_proportion_normalization PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_mosaicplot.py::test_false_split PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_mosaicplot.py::test_rect_pure_split PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_mosaicplot.py::test_rect_deformed_split PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_mosaicplot.py::test_gap_split PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_mosaicplot.py::test_default_arg_index PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_mosaicplot.py::test_missing_category PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_regressionplots.py::TestPlot::test_plot_fit PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_regressionplots.py::TestPlot::test_plot_oth PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_regressionplots.py::TestPlot::test_plot_influence PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_regressionplots.py::TestPlot::test_plot_leverage_resid2 PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_regressionplots.py::TestPlotPandas::test_plot_fit PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_regressionplots.py::TestPlotPandas::test_plot_oth PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_regressionplots.py::TestPlotPandas::test_plot_influence PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_regressionplots.py::TestPlotPandas::test_plot_leverage_resid2 PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_regressionplots.py::TestPlotFormula::test_plot_fit PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_regressionplots.py::TestPlotFormula::test_plot_oth PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_regressionplots.py::TestPlotFormula::test_plot_influence PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_regressionplots.py::TestPlotFormula::test_plot_leverage_resid2 PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_regressionplots.py::TestPlotFormula::test_one_column_exog PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_regressionplots.py::TestABLine::test_abline_model PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_regressionplots.py::TestABLine::test_abline_model_ax PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_regressionplots.py::TestABLine::test_abline_ab PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_regressionplots.py::TestABLine::test_abline_ab_ax PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_regressionplots.py::TestABLine::test_abline_remove PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_regressionplots.py::TestABLinePandas::test_abline_model PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_regressionplots.py::TestABLinePandas::test_abline_model_ax PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_regressionplots.py::TestABLinePandas::test_abline_ab PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_regressionplots.py::TestABLinePandas::test_abline_ab_ax PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_regressionplots.py::TestABLinePandas::test_abline_remove PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_regressionplots.py::TestAddedVariablePlot::test_added_variable_poisson PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_regressionplots.py::TestPartialResidualPlot::test_partial_residual_poisson PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_regressionplots.py::TestCERESPlot::test_ceres_poisson PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_tsaplots.py::test_plot_acf PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_tsaplots.py::test_plot_acf_irregular PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_tsaplots.py::test_plot_pacf PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_tsaplots.py::test_plot_pacf_kwargs PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_tsaplots.py::test_plot_acf_kwargs PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_tsaplots.py::test_plot_acf_missing PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_tsaplots.py::test_plot_pacf_irregular PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_tsaplots.py::test_plot_month PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_tsaplots.py::test_plot_quarter PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/graphics/tests/test_tsaplots.py::test_seasonal_plot PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/imputation/tests/test_bayes_mi.py::test_pat PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/imputation/tests/test_bayes_mi.py::test_2x2 PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/imputation/tests/test_bayes_mi.py::test_MI PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/imputation/tests/test_bayes_mi.py::test_MI_stat PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/imputation/tests/test_bayes_mi.py::test_mi_formula PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/imputation/tests/test_mice.py::TestMICEData::test_default PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/imputation/tests/test_mice.py::TestMICEData::test_settingwithcopywarning PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/imputation/tests/test_mice.py::TestMICEData::test_next_sample PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/imputation/tests/test_mice.py::TestMICEData::test_pertmeth PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/imputation/tests/test_mice.py::TestMICEData::test_phreg PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/imputation/tests/test_mice.py::TestMICEData::test_set_imputer PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/imputation/tests/test_mice.py::TestMICEData::test_plot_missing_pattern PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/imputation/tests/test_mice.py::TestMICEData::test_plot_bivariate PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/imputation/tests/test_mice.py::TestMICEData::test_fit_obs PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/imputation/tests/test_mice.py::TestMICEData::test_plot_imputed_hist PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/imputation/tests/test_mice.py::TestMICE::test_MICE PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/imputation/tests/test_mice.py::TestMICE::test_MICE1 PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/imputation/tests/test_mice.py::TestMICE::test_MICE1_regularized PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/imputation/tests/test_mice.py::TestMICE::test_MICE2 PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/imputation/tests/test_mice.py::TestMICE::test_combine PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/imputation/tests/test_mice.py::test_micedata_miss1 PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/imputation/tests/test_ros.py::Test__ros_sort::test_baseline PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/imputation/tests/test_ros.py::Test__ros_sort::test_censored_greater_than_max PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/imputation/tests/test_ros.py::Test_cohn_numbers::test_baseline PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/imputation/tests/test_ros.py::Test_cohn_numbers::test_no_NDs PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/imputation/tests/test_ros.py::Test__detection_limit_index::test_empty PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/imputation/tests/test_ros.py::Test__detection_limit_index::test_populated PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/imputation/tests/test_ros.py::Test__detection_limit_index::test_out_of_bounds PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/imputation/tests/test_ros.py::test__ros_group_rank PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/imputation/tests/test_ros.py::Test__ros_plot_pos::test_uncensored_1 PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/imputation/tests/test_ros.py::Test__ros_plot_pos::test_uncensored_2 PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/imputation/tests/test_ros.py::Test__ros_plot_pos::test_censored_1 PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/imputation/tests/test_ros.py::Test__ros_plot_pos::test_censored_2 PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/imputation/tests/test_ros.py::test__norm_plot_pos PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/imputation/tests/test_ros.py::test_plotting_positions PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/imputation/tests/test_ros.py::test__impute PASSED [ 19%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/imputation/tests/test_ros.py::test__do_ros PASSED [ 20%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/imputation/tests/test_ros.py::Test_ROS_HelselAppendixB::test_ros_df PASSED [ 20%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/imputation/tests/test_ros.py::Test_ROS_HelselAppendixB::test_ros_arrays PASSED [ 20%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/imputation/tests/test_ros.py::Test_ROS_HelselAppendixB::test_cohn PASSED [ 20%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/imputation/tests/test_ros.py::Test_ROS_HelselArsenic::test_ros_df PASSED [ 20%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/imputation/tests/test_ros.py::Test_ROS_HelselArsenic::test_ros_arrays PASSED [ 20%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/imputation/tests/test_ros.py::Test_ROS_HelselArsenic::test_cohn PASSED [ 20%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/imputation/tests/test_ros.py::Test_ROS_RNADAdata::test_ros_df PASSED [ 20%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/imputation/tests/test_ros.py::Test_ROS_RNADAdata::test_ros_arrays PASSED [ 20%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/imputation/tests/test_ros.py::Test_ROS_RNADAdata::test_cohn PASSED [ 20%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/imputation/tests/test_ros.py::Test_NoOp_ZeroND::test_ros_df PASSED [ 20%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/imputation/tests/test_ros.py::Test_NoOp_ZeroND::test_ros_arrays PASSED [ 20%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/imputation/tests/test_ros.py::Test_NoOp_ZeroND::test_cohn PASSED [ 20%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/imputation/tests/test_ros.py::Test_ROS_OneND::test_ros_df PASSED [ 20%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/imputation/tests/test_ros.py::Test_ROS_OneND::test_ros_arrays PASSED [ 20%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/multivariate/factor_rotation/tests/test_rotation.py::TestWrappers::test_methods PASSED [ 20%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/multivariate/tests/test_multivariate_ols.py::test_glm_dogs_example PASSED [ 20%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/multivariate/tests/test_multivariate_ols.py::test_exog_1D_array PASSED [ 21%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/multivariate/tests/test_pca.py::TestPCA::test_smoke_plot_and_repr PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/multivariate/tests/test_pca.py::TestPCA::test_eig_svd_equiv PASSED [ 21%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/multivariate/tests/test_pca.py::TestPCA::test_wide PASSED [ 21%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/multivariate/tests/test_pca.py::TestPCA::test_rsquare PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/multivariate/tests/test_pca.py::TestPCA::test_missing_dataframe PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_bandwidths.py::TestBandwidthCalculation::test_calculate_bandwidth_gaussian PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_bandwidths.py::TestEpanechnikov::test_calculate_normal_reference_constant PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_bandwidths.py::TestGaussian::test_calculate_normal_reference_constant PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_bandwidths.py::TestBiweight::test_calculate_normal_reference_constant PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_bandwidths.py::TestTriweight::test_calculate_normal_reference_constant PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_bandwidths.py::TestAllBandwidthZero::test_bandwidth_zero PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_bandwidths.py::TestAnyBandwidthZero::test_bandwidth_zero PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEExceptions::test_check_is_fit_exception PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEExceptions::test_non_weighted_fft_exception PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEExceptions::test_wrong_weight_length_exception PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEExceptions::test_non_gaussian_fft_exception PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEGauss::test_density PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEGauss::test_evaluate PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEGauss::test_support_gridded PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEGauss::test_cdf_gridded PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEGauss::test_sf_gridded PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEGauss::test_icdf_gridded PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEEpanechnikov::test_density PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEEpanechnikov::test_evaluate PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDETriangular::test_density PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDETriangular::test_evaluate PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEBiweight::test_density PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEBiweight::test_evaluate PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKdeWeights::test_density PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKdeWeights::test_evaluate PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEGaussFFT::test_density PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEGaussFFT::test_evaluate PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEWGauss::test_density XFAIL [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEWGauss::test_evaluate PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEWGauss::test_compare PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEWGauss::test_kernel_constants PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEWEpa::test_density XFAIL [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEWEpa::test_evaluate PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEWEpa::test_compare PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEWEpa::test_kernel_constants PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEWTri::test_density XFAIL [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEWTri::test_evaluate PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEWTri::test_compare PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEWTri::test_kernel_constants PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEWBiw::test_density XFAIL [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEWBiw::test_evaluate PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEWBiw::test_compare PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEWBiw::test_kernel_constants PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEWCos::test_density XFAIL [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEWCos::test_evaluate SKIPPED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEWCos::test_compare PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEWCos::test_kernel_constants PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEWCos2::test_density XFAIL [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEWCos2::test_evaluate PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEWCos2::test_compare PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEWCos2::test_kernel_constants PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestNormConstant::test_norm_constant_calculation PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEUnivariate::test_pdf_non_fft PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEUnivariate::test_weighted_pdf_non_fft PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEUnivariate::test_all_samples_same_location_bw PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEUnivariate::test_int PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariate::test_pdf_mixeddata_CV_LS PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariate::test_pdf_mixeddata_LS_vs_ML PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariate::test_pdf_mixeddata_CV_ML PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariate::test_pdf_continuous PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariate::test_pdf_ordered PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariate::test_unordered_CV_LS PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariate::test_continuous_cdf PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariate::test_mixeddata_cdf PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariate::test_continuous_cvls_efficient PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariate::test_continuous_cvml_efficient PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariate::test_efficient_notrandom PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariate::test_efficient_user_specified_bw PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariateConditional::test_mixeddata_CV_LS PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariateConditional::test_continuous_CV_ML PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariateConditional::test_unordered_CV_LS PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariateConditional::test_pdf_continuous PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariateConditional::test_pdf_mixeddata PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariateConditional::test_continuous_normal_ref PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariateConditional::test_continuous_cdf PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariateConditional::test_mixeddata_cdf PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariateConditional::test_continuous_cvml_efficient PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariateConditional::test_efficient_user_specified_bw PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_ordered_lc_cvls PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_continuousdata_lc_cvls PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_continuousdata_ll_cvls PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_continuous_mfx_ll_cvls PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_mixed_mfx_ll_cvls PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_mfx_nonlinear_ll_cvls XFAIL [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_continuous_cvls_efficient PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_censored_ll_cvls PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_continuous_lc_aic PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_significance_continuous PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_significance_discrete PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_user_specified_kernel PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_censored_user_specified_kernel PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_efficient_user_specificed_bw PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_censored_efficient_user_specificed_bw PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_regression.py::test_invalid_bw PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_regression.py::test_invalid_kernel PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_kernels.py::TestEpan::test_smoothconf PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_kernels.py::TestEpan::test_smoothconf_data PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_kernels.py::TestGau::test_smoothconf PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_kernels.py::TestGau::test_smoothconf_data PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_kernels.py::TestUniform::test_smoothconf PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_kernels.py::TestUniform::test_smoothconf_data PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_kernels.py::TestTriangular::test_smoothconf PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_kernels.py::TestTriangular::test_smoothconf_data PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_kernels.py::TestCosine::test_smoothconf_data PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_kernels.py::TestCosine::test_smoothconf XFAIL [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_kernels.py::TestBiweight::test_smoothconf PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_kernels.py::TestBiweight::test_smoothconf_data PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_lowess.py::TestLowess::test_import PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_lowess.py::TestLowess::test_flat PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_lowess.py::TestLowess::test_range PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_lowess.py::TestLowess::test_simple PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_lowess.py::TestLowess::test_iter_0 PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_lowess.py::TestLowess::test_iter_0_3 PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_lowess.py::TestLowess::test_frac_2_3 PASSED [ 21%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_lowess.py::TestLowess::test_frac_1_5 PASSED [ 22%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_lowess.py::TestLowess::test_delta_0 PASSED [ 22%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_lowess.py::TestLowess::test_delta_rdef PASSED [ 22%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_lowess.py::TestLowess::test_delta_1 PASSED [ 22%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_lowess.py::TestLowess::test_options PASSED [ 22%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/nonparametric/tests/test_lowess.py::test_returns_inputs PASSED [ 22%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_cov.py::test_HC_use PASSED [ 22%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_dimred.py::test_poisson PASSED [ 22%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_dimred.py::test_sir_regularized_numdiff PASSED [ 22%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_dimred.py::test_sir_regularized_1d PASSED [ 22%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_dimred.py::test_sir_regularized_2d PASSED [ 22%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_dimred.py::test_covreduce PASSED [ 22%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_glsar_gretl.py::TestGLSARGretl::test_all PASSED [ 22%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_glsar_gretl.py::test_GLSARlag PASSED [ 22%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_glsar_stata.py::TestGLSARCorc::test_params_table PASSED [ 22%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_glsar_stata.py::TestGLSARCorc::test_predicted PASSED [ 22%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_glsar_stata.py::TestGLSARCorc::test_rho PASSED [ 22%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_glsar_stata.py::TestGLSARCorc::test_glsar_arima PASSED [ 22%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_glsar_stata.py::TestGLSARCorc::test_glsar_iter0 PASSED [ 22%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestMixedLM::test_compare_numdiff[False-False-False] PASSED [ 22%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestMixedLM::test_compare_numdiff[False-False-True] PASSED [ 22%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestMixedLM::test_compare_numdiff[False-True-False] PASSED [ 22%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestMixedLM::test_compare_numdiff[False-True-True] PASSED [ 22%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestMixedLM::test_compare_numdiff[True-False-False] PASSED [ 22%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestMixedLM::test_compare_numdiff[True-False-True] PASSED [ 22%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestMixedLM::test_compare_numdiff[True-True-False] PASSED [ 22%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestMixedLM::test_compare_numdiff[True-True-True] PASSED [ 22%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestMixedLM::test_default_re PASSED [ 22%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestMixedLM::test_history PASSED [ 22%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestMixedLM::test_profile_inference PASSED [ 22%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestMixedLM::test_vcomp_1 PASSED [ 22%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestMixedLM::test_vcomp_2 PASSED [ 22%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestMixedLM::test_vcomp_3 PASSED [ 22%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestMixedLM::test_sparse PASSED [ 22%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestMixedLM::test_dietox PASSED [ 22%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestMixedLM::test_dietox_slopes PASSED [ 22%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestMixedLM::test_pastes_vcomp PASSED [ 22%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestMixedLM::test_vcomp_formula PASSED [ 22%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestMixedLM::test_formulas PASSED [ 22%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestMixedLM::test_regularized PASSED [ 22%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestMixedLMSummary::test_summary PASSED [ 22%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestMixedLMSummary::test_summary_xname_fe PASSED [ 22%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestMixedLMSummary::test_summary_xname_re PASSED [ 22%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_lme.py::test_r[False-False-lme07.csv] PASSED [ 22%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_lme.py::test_r[False-False-lme02.csv] PASSED [ 22%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_lme.py::test_r[False-False-lme08.csv] PASSED [ 22%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_lme.py::test_r[False-False-lme04.csv] PASSED [ 22%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_lme.py::test_r[False-False-lme01.csv] PASSED [ 22%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_lme.py::test_r[False-False-lme05.csv] PASSED [ 22%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_lme.py::test_r[False-False-lme03.csv] PASSED [ 22%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_lme.py::test_r[False-False-lme09.csv] PASSED [ 22%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_lme.py::test_r[False-False-lme11.csv] PASSED [ 22%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_lme.py::test_r[False-False-lme06.csv] PASSED [ 22%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestSMWSolver::test_smw_solver[0.5-2-8-5] PASSED [ 22%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestSMWSolver::test_smw_solver[0.5-2-8-10] PASSED [ 22%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestSMWSolver::test_smw_solver[0.5-3-4-5] PASSED [ 22%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestSMWSolver::test_smw_solver[0.5-3-4-10] PASSED [ 22%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestSMWSolver::test_smw_solver[0.5-3-8-5] PASSED [ 22%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestSMWSolver::test_smw_solver[0.5-3-8-10] PASSED [ 22%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestSMWLogdet::test_smw_logdet[0-2-4-5] PASSED [ 22%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestSMWLogdet::test_smw_logdet[0-2-4-10] PASSED [ 22%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestSMWLogdet::test_smw_logdet[0-2-8-5] PASSED [ 22%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestSMWLogdet::test_smw_logdet[0-2-8-10] PASSED [ 22%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestSMWLogdet::test_smw_logdet[0-3-4-5] PASSED [ 22%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestSMWLogdet::test_smw_logdet[0-3-4-10] PASSED [ 22%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestSMWLogdet::test_smw_logdet[0-3-8-5] PASSED [ 22%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestSMWLogdet::test_smw_logdet[0-3-8-10] PASSED [ 22%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestSMWLogdet::test_smw_logdet[0.5-2-4-5] PASSED [ 22%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestSMWLogdet::test_smw_logdet[0.5-2-4-10] PASSED [ 22%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestSMWLogdet::test_smw_logdet[0.5-2-8-5] PASSED [ 22%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestSMWLogdet::test_smw_logdet[0.5-2-8-10] PASSED [ 22%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestSMWLogdet::test_smw_logdet[0.5-3-4-5] PASSED [ 22%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestSMWLogdet::test_smw_logdet[0.5-3-4-10] PASSED [ 22%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestSMWLogdet::test_smw_logdet[0.5-3-8-5] PASSED [ 22%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestSMWLogdet::test_smw_logdet[0.5-3-8-10] PASSED [ 22%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_lme.py::test_get_distribution PASSED [ 22%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_predict.py::test_predict_se PASSED [ 22%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_predict.py::TestWLSPrediction::test_ci PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_predict.py::TestWLSPrediction::test_glm PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_processreg.py::test_arrays PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_processreg.py::test_formulas PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_processreg.py::test_score_numdiff PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::test_fitted_residuals PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovHsheatherQ75::test_params PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovHsheatherQ75::test_bse PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovHsheatherQ75::test_tvalues PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovHsheatherQ75::test_pvalues PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovHsheatherQ75::test_conf_int PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovHsheatherQ75::test_nobs PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovHsheatherQ75::test_df_model PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovHsheatherQ75::test_df_resid PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovHsheatherQ75::test_prsquared PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovHsheatherQ75::test_sparsity PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovHsheatherQ75::test_bandwidth PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovBofinger::test_params PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovBofinger::test_bse PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovBofinger::test_tvalues PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovBofinger::test_pvalues PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovBofinger::test_conf_int PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovBofinger::test_nobs PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovBofinger::test_df_model PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovBofinger::test_df_resid PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovBofinger::test_prsquared PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovBofinger::test_sparsity PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovBofinger::test_bandwidth PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovChamberlain::test_params PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovChamberlain::test_bse PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovChamberlain::test_tvalues PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovChamberlain::test_pvalues PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovChamberlain::test_conf_int PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovChamberlain::test_nobs PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovChamberlain::test_df_model PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovChamberlain::test_df_resid PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovChamberlain::test_prsquared PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovChamberlain::test_sparsity PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovChamberlain::test_bandwidth PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovHsheather::test_params PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovHsheather::test_bse PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovHsheather::test_tvalues PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovHsheather::test_pvalues PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovHsheather::test_conf_int PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovHsheather::test_nobs PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovHsheather::test_df_model PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovHsheather::test_df_resid PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovHsheather::test_prsquared PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovHsheather::test_sparsity PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovHsheather::test_bandwidth PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestGaussianBofinger::test_params PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestGaussianBofinger::test_bse PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestGaussianBofinger::test_tvalues PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestGaussianBofinger::test_pvalues PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestGaussianBofinger::test_conf_int PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestGaussianBofinger::test_nobs PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestGaussianBofinger::test_df_model PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestGaussianBofinger::test_df_resid PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestGaussianBofinger::test_prsquared PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestGaussianBofinger::test_sparsity PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestGaussianBofinger::test_bandwidth PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestGaussianChamberlain::test_params PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestGaussianChamberlain::test_bse PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestGaussianChamberlain::test_tvalues PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestGaussianChamberlain::test_pvalues PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestGaussianChamberlain::test_conf_int PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestGaussianChamberlain::test_nobs PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestGaussianChamberlain::test_df_model PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestGaussianChamberlain::test_df_resid PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestGaussianChamberlain::test_prsquared PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestGaussianChamberlain::test_sparsity PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestGaussianChamberlain::test_bandwidth PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestGaussianHsheather::test_params PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestGaussianHsheather::test_bse PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestGaussianHsheather::test_tvalues PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestGaussianHsheather::test_pvalues PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestGaussianHsheather::test_conf_int PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestGaussianHsheather::test_nobs PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestGaussianHsheather::test_df_model PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestGaussianHsheather::test_df_resid PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestGaussianHsheather::test_prsquared PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestGaussianHsheather::test_sparsity PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestGaussianHsheather::test_bandwidth PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestBiweightBofinger::test_params PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestBiweightBofinger::test_bse PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestBiweightBofinger::test_tvalues PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestBiweightBofinger::test_pvalues PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestBiweightBofinger::test_conf_int PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestBiweightBofinger::test_nobs PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestBiweightBofinger::test_df_model PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestBiweightBofinger::test_df_resid PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestBiweightBofinger::test_prsquared PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestBiweightBofinger::test_sparsity PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestBiweightBofinger::test_bandwidth PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestBiweightChamberlain::test_params PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestBiweightChamberlain::test_bse PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestBiweightChamberlain::test_tvalues PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestBiweightChamberlain::test_pvalues PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestBiweightChamberlain::test_conf_int PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestBiweightChamberlain::test_nobs PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestBiweightChamberlain::test_df_model PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestBiweightChamberlain::test_df_resid PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestBiweightChamberlain::test_prsquared PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestBiweightChamberlain::test_sparsity PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestBiweightChamberlain::test_bandwidth PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestBiweightHsheather::test_params PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestBiweightHsheather::test_bse PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestBiweightHsheather::test_tvalues PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestBiweightHsheather::test_pvalues PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestBiweightHsheather::test_conf_int PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestBiweightHsheather::test_nobs PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestBiweightHsheather::test_df_model PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestBiweightHsheather::test_df_resid PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestBiweightHsheather::test_prsquared PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestBiweightHsheather::test_sparsity PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestBiweightHsheather::test_bandwidth PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestCosineBofinger::test_params PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestCosineBofinger::test_bse PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestCosineBofinger::test_tvalues PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestCosineBofinger::test_pvalues PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestCosineBofinger::test_conf_int PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestCosineBofinger::test_nobs PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestCosineBofinger::test_df_model PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestCosineBofinger::test_df_resid PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestCosineBofinger::test_prsquared PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestCosineBofinger::test_sparsity PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestCosineBofinger::test_bandwidth PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestCosineChamberlain::test_params PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestCosineChamberlain::test_bse PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestCosineChamberlain::test_tvalues PASSED [ 23%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestCosineChamberlain::test_pvalues PASSED [ 24%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestCosineChamberlain::test_conf_int PASSED [ 24%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestCosineChamberlain::test_nobs PASSED [ 24%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestCosineChamberlain::test_df_model PASSED [ 24%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestCosineChamberlain::test_df_resid PASSED [ 24%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestCosineChamberlain::test_prsquared PASSED [ 24%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestCosineChamberlain::test_sparsity PASSED [ 24%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestCosineChamberlain::test_bandwidth PASSED [ 24%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestCosineHsheather::test_params PASSED [ 24%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestCosineHsheather::test_bse PASSED [ 24%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestCosineHsheather::test_tvalues PASSED [ 24%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestCosineHsheather::test_pvalues PASSED [ 24%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestCosineHsheather::test_conf_int PASSED [ 24%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestCosineHsheather::test_nobs PASSED [ 24%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestCosineHsheather::test_df_model PASSED [ 24%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestCosineHsheather::test_df_resid PASSED [ 24%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestCosineHsheather::test_prsquared PASSED [ 24%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestCosineHsheather::test_sparsity PASSED [ 24%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestCosineHsheather::test_bandwidth PASSED [ 24%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestParzeneBofinger::test_params PASSED [ 24%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestParzeneBofinger::test_bse PASSED [ 24%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestParzeneBofinger::test_tvalues PASSED [ 24%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestParzeneBofinger::test_pvalues PASSED [ 24%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestParzeneBofinger::test_conf_int PASSED [ 24%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestParzeneBofinger::test_nobs PASSED [ 24%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestParzeneBofinger::test_df_model PASSED [ 24%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestParzeneBofinger::test_df_resid PASSED [ 24%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestParzeneBofinger::test_prsquared PASSED [ 24%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestParzeneBofinger::test_sparsity PASSED [ 24%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestParzeneBofinger::test_bandwidth PASSED [ 24%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestParzeneChamberlain::test_params PASSED [ 24%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestParzeneChamberlain::test_bse PASSED [ 24%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestParzeneChamberlain::test_tvalues PASSED [ 24%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestParzeneChamberlain::test_pvalues PASSED [ 24%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestParzeneChamberlain::test_conf_int PASSED [ 24%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestParzeneChamberlain::test_nobs PASSED [ 24%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestParzeneChamberlain::test_df_model PASSED [ 24%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestParzeneChamberlain::test_df_resid PASSED [ 24%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestParzeneChamberlain::test_prsquared PASSED [ 24%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestParzeneChamberlain::test_sparsity PASSED [ 24%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestParzeneChamberlain::test_bandwidth PASSED [ 24%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestParzeneHsheather::test_params PASSED [ 24%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestParzeneHsheather::test_bse PASSED [ 24%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestParzeneHsheather::test_tvalues PASSED [ 24%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestParzeneHsheather::test_pvalues PASSED [ 24%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestParzeneHsheather::test_conf_int PASSED [ 24%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestParzeneHsheather::test_nobs PASSED [ 24%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestParzeneHsheather::test_df_model PASSED [ 24%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestParzeneHsheather::test_df_resid PASSED [ 24%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestParzeneHsheather::test_prsquared PASSED [ 24%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestParzeneHsheather::test_sparsity PASSED [ 24%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestParzeneHsheather::test_bandwidth PASSED [ 24%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_regression.py::test_wls_tss PASSED [ 25%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLSScalarVsArray::test_params PASSED [ 25%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLSScalarVsArray::test_standarderrors PASSED [ 25%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLSScalarVsArray::test_confidenceintervals PASSED [ 25%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLSScalarVsArray::test_conf_int_subset PASSED [ 25%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLSScalarVsArray::test_scale PASSED [ 25%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLSScalarVsArray::test_rsquared PASSED [ 25%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLSScalarVsArray::test_rsquared_adj PASSED [ 25%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLSScalarVsArray::test_degrees PASSED [ 25%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLSScalarVsArray::test_ess PASSED [ 25%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLSScalarVsArray::test_sumof_squaredresids PASSED [ 25%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLSScalarVsArray::test_mse_resid PASSED [ 25%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLSScalarVsArray::test_mse_model PASSED [ 25%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLSScalarVsArray::test_mse_total PASSED [ 25%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLSScalarVsArray::test_fvalue PASSED [ 25%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLSScalarVsArray::test_loglike PASSED [ 25%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLSScalarVsArray::test_aic PASSED [ 25%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLSScalarVsArray::test_bic PASSED [ 25%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLSScalarVsArray::test_pvalues PASSED [ 25%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLSScalarVsArray::test_wresid PASSED [ 25%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLSScalarVsArray::test_resids PASSED [ 25%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLSScalarVsArray::test_norm_resids PASSED [ 25%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLS_GLS::test_params PASSED [ 25%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLS_GLS::test_confidenceintervals PASSED [ 25%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLS_GLS::test_conf_int_subset PASSED [ 25%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLS_GLS::test_scale PASSED [ 25%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLS_GLS::test_rsquared PASSED [ 25%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLS_GLS::test_degrees PASSED [ 25%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLS_GLS::test_ess PASSED [ 25%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLS_GLS::test_sumof_squaredresids PASSED [ 25%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLS_OLS::test_rsquared PASSED [ 26%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLS_OLS::test_degrees PASSED [ 26%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLS_OLS::test_sumof_squaredresids PASSED [ 26%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLS_OLS::test_mse_resid PASSED [ 26%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLS_OLS::test_mse_model PASSED [ 26%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLS_OLS::test_fvalue PASSED [ 26%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLS_OLS::test_wresid PASSED [ 26%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLS_OLS::test_resids PASSED [ 26%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLS_OLS::test_norm_resids PASSED [ 26%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_OLS::test_conf_int_subset PASSED [ 26%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_OLS::test_rsquared PASSED [ 26%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_OLS::test_mse_resid PASSED [ 26%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_OLS::test_mse_model PASSED [ 26%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_OLS::test_fvalue PASSED [ 26%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_OLS::test_loglike PASSED [ 26%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_OLS::test_pvalues PASSED [ 26%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_OLS::test_norm_resids PASSED [ 26%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestDataDimensions::test_confidenceintervals PASSED [ 26%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestDataDimensions::test_conf_int_subset PASSED [ 26%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestDataDimensions::test_scale PASSED [ 26%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestDataDimensions::test_rsquared PASSED [ 26%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestDataDimensions::test_rsquared_adj PASSED [ 26%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestDataDimensions::test_degrees PASSED [ 26%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestDataDimensions::test_sumof_squaredresids PASSED [ 26%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestDataDimensions::test_mse_resid PASSED [ 26%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestDataDimensions::test_mse_model PASSED [ 26%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestDataDimensions::test_mse_total PASSED [ 26%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestDataDimensions::test_fvalue PASSED [ 26%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestDataDimensions::test_wresid PASSED [ 26%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestDataDimensions::test_norm_resids PASSED [ 26%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_large_data::test_params PASSED [ 26%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_large_data::test_standarderrors PASSED [ 26%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_large_data::test_confidenceintervals PASSED [ 26%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_large_data::test_conf_int_subset PASSED [ 26%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_large_data::test_scale PASSED [ 26%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_large_data::test_rsquared PASSED [ 26%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_large_data::test_rsquared_adj PASSED [ 26%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_large_data::test_degrees PASSED [ 26%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_large_data::test_ess PASSED [ 26%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_large_data::test_sumof_squaredresids PASSED [ 26%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_large_data::test_mse_resid PASSED [ 26%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_large_data::test_mse_model PASSED [ 26%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_large_data::test_mse_total PASSED [ 26%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_large_data::test_fvalue PASSED [ 26%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_large_data::test_loglike PASSED [ 26%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_large_data::test_pvalues PASSED [ 26%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_large_data::test_wresid PASSED [ 26%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_large_data::test_resids PASSED [ 26%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_large_data::test_norm_resids PASSED [ 26%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_large_data::test_large_equal_params PASSED [ 26%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_large_data::test_large_equal_loglike PASSED [ 26%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxNx::test_params PASSED [ 26%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxNx::test_confidenceintervals PASSED [ 26%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxNx::test_conf_int_subset PASSED [ 26%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxNx::test_scale PASSED [ 26%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxNx::test_rsquared PASSED [ 26%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxNx::test_rsquared_adj PASSED [ 26%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxNx::test_degrees PASSED [ 26%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxNx::test_ess PASSED [ 26%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxNx::test_sumof_squaredresids PASSED [ 26%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxNx::test_mse_resid PASSED [ 26%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxNx::test_mse_model PASSED [ 26%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxNx::test_mse_total PASSED [ 26%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxNx::test_fvalue PASSED [ 26%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxNx::test_loglike PASSED [ 26%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxNx::test_aic PASSED [ 26%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxNx::test_bic PASSED [ 26%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxNx::test_pvalues PASSED [ 26%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxNx::test_wresid PASSED [ 26%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxNx::test_resids PASSED [ 26%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxNx::test_norm_resids PASSED [ 26%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxOneNx::test_confidenceintervals PASSED [ 26%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_weighted_against_wls[250-3-False-False-0-False] PASSED [ 29%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_weighted_against_wls[250-3-False-False-0.1-True] PASSED [ 29%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_weighted_against_wls[250-3-False-False-0.1-False] PASSED [ 29%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_weighted_against_wls[250-0-True-True-0-True] PASSED [ 29%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_weighted_against_wls[250-0-True-True-0-False] PASSED [ 30%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_weighted_against_wls[250-0-True-True-0.1-True] PASSED [ 30%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_weighted_against_wls[250-0-True-True-0.1-False] PASSED [ 30%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_weighted_against_wls[250-0-True-False-0-True] PASSED [ 30%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_weighted_against_wls[250-0-True-False-0-False] PASSED [ 30%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_weighted_against_wls[250-0-True-False-0.1-True] PASSED [ 30%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_weighted_against_wls[250-0-True-False-0.1-False] PASSED [ 30%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_error PASSED [ 30%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_formula PASSED [ 30%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_plot FAILED [ 30%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_methods[250-3-True-True-0] PASSED [ 30%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_min_nobs[250-3-True-True-0] PASSED [ 30%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_methods[250-3-True-True-0.1] PASSED [ 30%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_min_nobs[250-3-True-True-0.1] PASSED [ 30%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_methods[250-3-True-False-0] PASSED [ 30%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_min_nobs[250-3-True-False-0] PASSED [ 30%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_methods[250-3-True-False-0.1] PASSED [ 30%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_min_nobs[250-3-True-False-0.1] PASSED [ 30%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_methods[250-3-False-True-0] PASSED [ 30%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_min_nobs[250-3-False-True-0] PASSED [ 30%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_methods[250-3-False-True-0.1] PASSED [ 30%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_methods[250-3-False-False-0.1] PASSED [ 30%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_tools.py::TestMinimalWLS::test_equivalence_with_wls[True] PASSED [ 30%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_tools.py::TestMinimalWLS::test_equivalence_with_wls[False] PASSED [ 30%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestHampel::test_confidenceintervals SKIPPED [ 30%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmBisquare::test_params PASSED [ 30%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmBisquare::test_standarderrors PASSED [ 30%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmBisquare::test_confidenceintervals SKIPPED [ 30%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmBisquare::test_scale PASSED [ 30%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmBisquare::test_weights PASSED [ 30%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmBisquare::test_degrees PASSED [ 30%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmBisquare::test_bcov_unscaled PASSED [ 30%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmBisquare::test_bcov_scaled PASSED [ 30%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmBisquare::test_tvalues PASSED [ 30%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmBisquare::test_tpvalues PASSED [ 30%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmBisquare::test_summary PASSED [ 30%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmBisquare::test_summary2 PASSED [ 30%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmBisquare::test_chisq PASSED [ 30%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmBisquare::test_predict PASSED [ 30%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmAndrews::test_params PASSED [ 30%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmAndrews::test_standarderrors PASSED [ 30%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmAndrews::test_confidenceintervals PASSED [ 30%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmAndrews::test_scale PASSED [ 30%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmAndrews::test_weights PASSED [ 30%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmAndrews::test_residuals PASSED [ 30%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmAndrews::test_degrees PASSED [ 30%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmAndrews::test_bcov_unscaled SKIPPED [ 30%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmAndrews::test_bcov_scaled PASSED [ 30%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmAndrews::test_tvalues SKIPPED [ 30%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmAndrews::test_tpvalues PASSED [ 30%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmAndrews::test_summary PASSED [ 30%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmAndrews::test_summary2 PASSED [ 30%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmAndrews::test_chisq PASSED [ 30%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmAndrews::test_predict PASSED [ 30%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmHuber::test_params PASSED [ 30%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmHuber::test_standarderrors PASSED [ 30%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmHuber::test_confidenceintervals PASSED [ 30%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmHuber::test_scale PASSED [ 30%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmHuber::test_weights PASSED [ 30%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmHuber::test_residuals PASSED [ 30%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmHuber::test_degrees PASSED [ 30%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmHuber::test_bcov_unscaled SKIPPED [ 30%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmHuber::test_bcov_scaled PASSED [ 30%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmHuber::test_tvalues SKIPPED [ 30%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmHuber::test_tpvalues PASSED [ 30%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestHampelHuber::test_params PASSED [ 30%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestHampelHuber::test_standarderrors PASSED [ 30%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestHampelHuber::test_confidenceintervals PASSED [ 30%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestHampelHuber::test_scale PASSED [ 30%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestHampelHuber::test_weights PASSED [ 30%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestHampelHuber::test_residuals PASSED [ 30%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestHampelHuber::test_degrees PASSED [ 30%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestHampelHuber::test_bcov_unscaled SKIPPED [ 30%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestHampelHuber::test_bcov_scaled PASSED [ 30%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestHampelHuber::test_tvalues SKIPPED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestHampelHuber::test_tpvalues PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestHampelHuber::test_summary PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestHampelHuber::test_summary2 PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestHampelHuber::test_chisq PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestHampelHuber::test_predict PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmBisquareHuber::test_params PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmBisquareHuber::test_standarderrors PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmBisquareHuber::test_confidenceintervals PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmBisquareHuber::test_scale PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmBisquareHuber::test_weights PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmBisquareHuber::test_residuals PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmBisquareHuber::test_degrees PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmBisquareHuber::test_bcov_unscaled SKIPPED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmBisquareHuber::test_bcov_scaled PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmBisquareHuber::test_tvalues SKIPPED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmBisquareHuber::test_tpvalues PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmBisquareHuber::test_summary PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmBisquareHuber::test_summary2 PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmBisquareHuber::test_chisq PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmBisquareHuber::test_predict PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmAndrewsHuber::test_params PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmAndrewsHuber::test_standarderrors PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmAndrewsHuber::test_confidenceintervals PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmAndrewsHuber::test_scale PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmAndrewsHuber::test_weights PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmAndrewsHuber::test_residuals PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmAndrewsHuber::test_degrees PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmAndrewsHuber::test_bcov_unscaled SKIPPED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmAndrewsHuber::test_bcov_scaled PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmAndrewsHuber::test_tvalues SKIPPED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmAndrewsHuber::test_tpvalues PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmAndrewsHuber::test_summary PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmAndrewsHuber::test_summary2 PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmAndrewsHuber::test_chisq PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmAndrewsHuber::test_predict PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmSresid::test_params PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmSresid::test_standarderrors PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmSresid::test_confidenceintervals SKIPPED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmSresid::test_scale PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmSresid::test_weights PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmSresid::test_residuals PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmSresid::test_degrees PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmSresid::test_bcov_unscaled PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmSresid::test_bcov_scaled PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmSresid::test_tvalues PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmSresid::test_tpvalues PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::test_missing PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::test_rlm_start_values PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::test_rlm_start_values_errors PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::test_perfect_fit[AndrewWave] PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::test_perfect_const[AndrewWave] PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::test_perfect_fit[LeastSquares] PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::test_perfect_const[LeastSquares] PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::test_perfect_fit[HuberT] PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::test_perfect_const[HuberT] PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::test_perfect_fit[TrimmedMean] PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::test_perfect_const[TrimmedMean] PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::test_perfect_fit[TukeyBiweight] PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::test_perfect_const[TukeyBiweight] PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::test_perfect_fit[Hampel] PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::test_perfect_const[Hampel] PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::test_perfect_fit[RamsayE] PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::test_perfect_const[RamsayE] PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::test_alt_criterion[weights] PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::test_alt_criterion[coefs] PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::test_alt_criterion[sresid] PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_rlm.py::test_bad_criterion PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_scale.py::TestChem::test_mean PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_scale.py::TestChem::test_median PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_scale.py::TestChem::test_mad PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_scale.py::TestChem::test_huber_scale PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_scale.py::TestChem::test_huber_location PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_scale.py::TestChem::test_huber_huberT PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_scale.py::TestChem::test_huber_Hampel PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_scale.py::TestMad::test_mad PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_scale.py::TestMad::test_mad_empty PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_scale.py::TestMad::test_mad_center PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_scale.py::TestMadAxes::test_axis0 PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_scale.py::TestMadAxes::test_axis1 PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_scale.py::TestMadAxes::test_axis2 PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_scale.py::TestMadAxes::test_axisneg1 PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_scale.py::TestHuber::test_huber_result_shape PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_scale.py::TestHuberAxes::test_default PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_scale.py::TestHuberAxes::test_axis1 PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_scale.py::TestHuberAxes::test_axis2 PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/tests/test_scale.py::TestHuberAxes::test_axisneg1 PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/distributions/tests/test_extras.py::test_skewnorm PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/distributions/tests/test_extras.py::test_skewt PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/distributions/tests/test_gof_new.py::test_loop_vectorized_batch_equivalence PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/distributions/tests/test_multivariate.py::Test_MVN_MVT_prob::test_mvn_mvt_1 PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/distributions/tests/test_multivariate.py::Test_MVN_MVT_prob::test_mvn_mvt_2 PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/distributions/tests/test_multivariate.py::Test_MVN_MVT_prob::test_mvn_mvt_3 PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/distributions/tests/test_multivariate.py::Test_MVN_MVT_prob::test_mvn_mvt_4 PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/distributions/tests/test_multivariate.py::Test_MVN_MVT_prob::test_mvn_mvt_5 PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/distributions/tests/test_multivariate.py::TestMVDistributions::test_mvn_pdf PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/distributions/tests/test_multivariate.py::TestMVDistributions::test_mvt_pdf PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/distributions/tests/test_norm_expan.py::TestExpandNormMom::test_dist1 PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/distributions/tests/test_norm_expan.py::TestExpandNormMom::test_cdf_ppf_roundtrip PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/distributions/tests/test_norm_expan.py::TestExpandNormMom::test_pdf PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/distributions/tests/test_norm_expan.py::TestExpandNormMom::test_mvsk PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/distributions/tests/test_norm_expan.py::TestExpandNormSample::test_ks PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/distributions/tests/test_norm_expan.py::TestExpandNormSample::test_mvsk PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/distributions/tests/test_transf.py::Test_Transf2::test_equivalent PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/distributions/tests/test_transf.py::Test_Transf2::test_equivalent_negsq PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/nonparametric/tests/test_kernel_extras.py::TestSemiLinear::test_basic PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/nonparametric/tests/test_smoothers.py::TestPolySmoother1::test_predict PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/nonparametric/tests/test_smoothers.py::TestPolySmoother1::test_coef PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/nonparametric/tests/test_smoothers.py::TestPolySmoother1::test_df PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/nonparametric/tests/test_smoothers.py::TestPolySmoother2::test_predict PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/nonparametric/tests/test_smoothers.py::TestPolySmoother2::test_coef PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/nonparametric/tests/test_smoothers.py::TestPolySmoother2::test_df PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/nonparametric/tests/test_smoothers.py::TestPolySmoother3::test_predict PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/nonparametric/tests/test_smoothers.py::TestPolySmoother3::test_coef PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/nonparametric/tests/test_smoothers.py::TestPolySmoother3::test_df PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/panel/tests/test_random_panel.py::test_short_panel PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::test_iv2sls_r PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::test_ivgmm0_r PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::test_ivgmm1_stata PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMOLS::test_basic PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMOLS::test_other XFAIL [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMSt1::test_basic PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMSt1::test_other PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMSt1::test_hypothesis PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMSt1::test_summary PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMSt1::test_use_t PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStTwostep::test_basic PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStTwostep::test_other PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStTwostep::test_hypothesis PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStTwostep::test_summary PASSED [ 31%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStTwostep::test_use_t PASSED [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStTwostepNO::test_basic PASSED [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStTwostepNO::test_other PASSED [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStTwostepNO::test_hypothesis PASSED [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStTwostepNO::test_summary PASSED [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStTwostepNO::test_use_t PASSED [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOnestep::test_basic PASSED [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOnestep::test_hypothesis PASSED [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOnestep::test_summary PASSED [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOnestep::test_use_t PASSED [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOnestep::test_bse_other PASSED [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOnestep::test_other XFAIL [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOnestepNO::test_basic PASSED [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOnestepNO::test_hypothesis PASSED [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOnestepNO::test_summary PASSED [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOnestepNO::test_use_t PASSED [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOnestepNO::test_other XFAIL [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiter::test_basic PASSED [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiter::test_hypothesis PASSED [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiter::test_summary PASSED [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiter::test_use_t PASSED [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiter::test_other XFAIL [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiter::test_bse_other PASSED [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO::test_basic PASSED [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO::test_hypothesis PASSED [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO::test_summary PASSED [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO::test_use_t PASSED [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO::test_other XFAIL [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO_Linear::test_basic PASSED [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO_Linear::test_hypothesis PASSED [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO_Linear::test_summary PASSED [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO_Linear::test_use_t PASSED [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO_Linear::test_other XFAIL [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO_Nonlinear::test_basic PASSED [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO_Nonlinear::test_hypothesis PASSED [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO_Nonlinear::test_summary PASSED [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO_Nonlinear::test_use_t PASSED [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO_Nonlinear::test_other XFAIL [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO_Nonlinear::test_score PASSED [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterOLS_Linear::test_basic PASSED [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterOLS_Linear::test_hypothesis PASSED [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterOLS_Linear::test_summary PASSED [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterOLS_Linear::test_use_t PASSED [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterOLS_Linear::test_other XFAIL [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMSt2::test_basic PASSED [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestIV2SLSSt1::test_basic PASSED [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestIV2SLSSt1::test_other PASSED [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestIV2SLSSt1::test_hypothesis PASSED [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestIV2SLSSt1::test_hausman PASSED [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestIV2SLSSt1::test_summary PASSED [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestIV2SLSSt1::test_input_dimensions PASSED [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::test_noconstant PASSED [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::test_gmm_basic PASSED [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMAddOnestep::test_basic PASSED [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMAddOnestep::test_other PASSED [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMAddOnestep::test_summary PASSED [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMAddTwostep::test_basic PASSED [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMAddTwostep::test_other PASSED [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMAddTwostep::test_summary PASSED [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMMultOnestep::test_basic PASSED [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMMultOnestep::test_other PASSED [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMMultOnestep::test_summary PASSED [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMMultTwostep::test_basic PASSED [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMMultTwostep::test_other PASSED [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMMultTwostep::test_summary PASSED [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMMultTwostepDefault::test_basic PASSED [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMMultTwostepDefault::test_other PASSED [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMMultTwostepDefault::test_summary PASSED [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMMultTwostepCenter::test_basic PASSED [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMMultTwostepCenter::test_other PASSED [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMMultTwostepCenter::test_summary PASSED [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMMultTwostepCenter::test_more PASSED [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/stats/tests/test_multicomp.py::test_tukey_pvalues PASSED [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/tests/test_gam.py::TestAdditiveModel::test_predict PASSED [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/tests/test_gam.py::TestAdditiveModel::test_params PASSED [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/tests/test_gam.py::TestAdditiveModel::test_df XFAIL [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/tests/test_gam.py::TestAdditiveModel::test_fitted PASSED [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/tests/test_gam.py::TestGAMPoisson::test_predict PASSED [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/tests/test_gam.py::TestGAMPoisson::test_fitted XFAIL [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/tests/test_gam.py::TestGAMPoisson::test_params PASSED [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/tests/test_gam.py::TestGAMPoisson::test_df XFAIL [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/tests/test_gam.py::TestGAMPoisson::test_mu PASSED [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/tests/test_gam.py::TestGAMPoisson::test_prediction PASSED [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/tests/test_gam.py::TestGAMBinomial::test_predict PASSED [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/tests/test_gam.py::TestGAMBinomial::test_fitted XFAIL [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/tests/test_gam.py::TestGAMBinomial::test_params PASSED [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/tests/test_gam.py::TestGAMBinomial::test_df XFAIL [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/tests/test_gam.py::TestGAMBinomial::test_mu PASSED [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/tests/test_gam.py::TestGAMBinomial::test_prediction PASSED [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/tests/test_gam.py::TestGAMGaussianLogLink::test_predict XFAIL [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/tests/test_gam.py::TestGAMGaussianLogLink::test_fitted XFAIL [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/tests/test_gam.py::TestGAMGaussianLogLink::test_params XFAIL [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/tests/test_gam.py::TestGAMGaussianLogLink::test_df XFAIL [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/tests/test_gam.py::TestGAMGaussianLogLink::test_mu XFAIL [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/tests/test_gam.py::TestGAMGaussianLogLink::test_prediction XFAIL [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/tests/test_gam.py::TestGAMGamma::test_predict PASSED [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/tests/test_gam.py::TestGAMGamma::test_fitted XFAIL [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/tests/test_gam.py::TestGAMGamma::test_params PASSED [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/tests/test_gam.py::TestGAMGamma::test_df XFAIL [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/tests/test_gam.py::TestGAMGamma::test_mu PASSED [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/tests/test_gam.py::TestGAMGamma::test_prediction PASSED [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/tests/test_gam.py::TestGAMNegativeBinomial::test_predict XFAIL [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/tests/test_gam.py::TestGAMNegativeBinomial::test_params XFAIL [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/tests/test_gam.py::TestGAMNegativeBinomial::test_mu XFAIL [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/tests/test_gam.py::TestGAMNegativeBinomial::test_prediction XFAIL [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/tests/test_gam.py::TestGAMNegativeBinomial::test_fitted XFAIL [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/tests/test_gam.py::TestGAMNegativeBinomial::test_df XFAIL [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/tests/test_pca.py::test_pca_princomp PASSED [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/tests/test_pca.py::test_pca_svd PASSED [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/tests/test_predict_functional.py::TestPredFunc::test_formula PASSED [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/tests/test_predict_functional.py::TestPredFunc::test_lm_contrast PASSED [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/tests/test_predict_functional.py::TestPredFunc::test_glm_formula_contrast PASSED [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/tests/test_predict_functional.py::TestPredFunc::test_scb PASSED [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/tests/test_predict_functional.py::TestPredFunc::test_glm_formula PASSED [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/tests/test_predict_functional.py::TestPredFunc::test_noformula_prediction PASSED [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/libqsturng/tests/test_qsturng.py::TestQsturng::test_scalar PASSED [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/libqsturng/tests/test_qsturng.py::TestQsturng::test_vector PASSED [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/libqsturng/tests/test_qsturng.py::TestQsturng::test_invalid_parameters PASSED [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/libqsturng/tests/test_qsturng.py::TestQsturng::test_handful_to_tbl PASSED [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/libqsturng/tests/test_qsturng.py::TestQsturng::test_all_to_tbl SKIPPED [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/libqsturng/tests/test_qsturng.py::TestQsturng::test_handful_to_ch PASSED [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/libqsturng/tests/test_qsturng.py::TestQsturng::test_10000_to_ch PASSED [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/libqsturng/tests/test_qsturng.py::TestPsturng::test_scalar PASSED [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/libqsturng/tests/test_qsturng.py::TestPsturng::test_vector PASSED [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/libqsturng/tests/test_qsturng.py::TestPsturng::test_v_equal_one PASSED [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/libqsturng/tests/test_qsturng.py::TestPsturng::test_invalid_parameters PASSED [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/libqsturng/tests/test_qsturng.py::TestPsturng::test_handful_to_known_values PASSED [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/libqsturng/tests/test_qsturng.py::TestPsturng::test_100_random_values PASSED [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_anova.py::TestAnovaLM::test_results PASSED [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_anova.py::TestAnovaLMNoconstant::test_results PASSED [ 32%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_anova.py::TestAnovaLMCompare::test_results PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_anova.py::TestAnovaLMCompareNoconstant::test_results PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_anova.py::TestAnova2::test_results PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_anova.py::TestAnova2Noconstant::test_results PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_anova.py::TestAnova2HC0::test_results PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_anova.py::TestAnova2HC1::test_results PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_anova.py::TestAnova2HC2::test_results PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_anova.py::TestAnova2HC3::test_results PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_anova.py::TestAnova3::test_results PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_anova.py::TestAnova3HC0::test_results PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_anova.py::TestAnova3HC1::test_results PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_anova.py::TestAnova3HC2::test_results PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_anova.py::TestAnova3HC3::test_results PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_anova_rm.py::test_single_factor_repeated_measures_anova PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_anova_rm.py::test_two_factors_repeated_measures_anova PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_anova_rm.py::test_three_factors_repeated_measures_anova PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_anova_rm.py::test_repeated_measures_invalid_factor_name PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_anova_rm.py::test_repeated_measures_collinearity PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_anova_rm.py::test_repeated_measures_unbalanced_data PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_anova_rm.py::test_repeated_measures_aggregation PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_anova_rm.py::test_repeated_measures_aggregation_one_subject_duplicated PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_anova_rm.py::test_repeated_measures_aggregate_func PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_anova_rm.py::test_repeated_measures_aggregate_func_mean PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_anova_rm.py::test_repeated_measures_aggregate_compare_with_ezANOVA PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::test_homogeneity PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::test_SquareTable_from_data PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::test_SquareTable_nonsquare PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::test_cumulative_odds PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::test_local_odds PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::test_shifting PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::test_stratified_table_cube PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::test_resids PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::test_ordinal_association PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::test_chi2_association PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::test_symmetry PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::test_mcnemar PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::test_from_data_stratified PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::test_from_data_2x2 PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::test_cochranq PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::TestStratified1::test_oddsratio_pooled PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::TestStratified1::test_logodds_pooled PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::TestStratified1::test_null_odds PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::TestStratified1::test_oddsratio_pooled_confint PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::TestStratified1::test_logodds_pooled_confint PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::TestStratified1::test_equal_odds PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::TestStratified1::test_pandas PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::TestStratified1::test_from_data PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::TestStratified2::test_oddsratio_pooled PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::TestStratified2::test_logodds_pooled PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::TestStratified2::test_null_odds PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::TestStratified2::test_oddsratio_pooled_confint PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::TestStratified2::test_logodds_pooled_confint PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::TestStratified2::test_equal_odds PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::TestStratified2::test_pandas PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::TestStratified2::test_from_data PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::TestStratified3::test_oddsratio_pooled PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::TestStratified3::test_logodds_pooled PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::TestStratified3::test_null_odds PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::TestStratified3::test_oddsratio_pooled_confint PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::TestStratified3::test_logodds_pooled_confint PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::TestStratified3::test_equal_odds PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::TestStratified3::test_pandas PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::TestStratified3::test_from_data PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::Test2x2_1::test_oddsratio PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::Test2x2_1::test_log_oddsratio PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::Test2x2_1::test_log_oddsratio_se PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::Test2x2_1::test_oddsratio_pvalue PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::Test2x2_1::test_oddsratio_confint PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::Test2x2_1::test_riskratio PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::Test2x2_1::test_log_riskratio PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::Test2x2_1::test_log_riskratio_se PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::Test2x2_1::test_riskratio_pvalue PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::Test2x2_1::test_riskratio_confint PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::Test2x2_1::test_log_riskratio_confint PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::Test2x2_1::test_from_data PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::Test2x2_1::test_summary PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_contrast.py::TestContrast::test_contrast1 PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_contrast.py::TestContrast::test_contrast2 PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_contrast.py::TestContrast::test_contrast3 PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_contrast.py::TestContrast::test_estimable PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_contrast.py::test_constraints PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_correlation.py::test_kernel_covariance PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_corrpsd.py::test_corr_psd PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_corrpsd.py::TestCovPSD::test_cov_nearest PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_corrpsd.py::TestCorrPSD1::test_nearest PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_corrpsd.py::TestCorrPSD1::test_clipped PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_corrpsd.py::TestCorrPSD1::test_cov_nearest PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_corrpsd.py::test_corrpsd_threshold[0] PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_corrpsd.py::test_corrpsd_threshold[1e-15] PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_corrpsd.py::test_corrpsd_threshold[1e-10] PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_corrpsd.py::test_corrpsd_threshold[1e-06] PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_corrpsd.py::Test_Factor::test_corr_nearest_factor_arrpack PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_corrpsd.py::Test_Factor::test_corr_nearest_factor[1] PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_corrpsd.py::Test_Factor::test_corr_nearest_factor[2] PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_corrpsd.py::Test_Factor::test_corr_nearest_factor_sparse[1] PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_corrpsd.py::Test_Factor::test_corr_nearest_factor_sparse[2] PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_corrpsd.py::Test_Factor::test_spg_optim PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_corrpsd.py::Test_Factor::test_decorrelate PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_corrpsd.py::Test_Factor::test_logdet PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_corrpsd.py::Test_Factor::test_solve PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_corrpsd.py::Test_Factor::test_cov_nearest_factor_homog[1] PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_corrpsd.py::Test_Factor::test_cov_nearest_factor_homog[2] PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_corrpsd.py::Test_Factor::test_cov_nearest_factor_homog_sparse[1] PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_corrpsd.py::Test_Factor::test_cov_nearest_factor_homog_sparse[2] PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_corrpsd.py::Test_Factor::test_corr_thresholded PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_descriptivestats.py::test_sign_test PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::test_gq PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_basic PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_hac PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_het_goldfeldquandt PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_het_breusch_pagan PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_het_white PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_het_white_error PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_het_arch PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_het_arch2 PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_acorr_breusch_godfrey PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_acorr_breusch_godfrey_multidim PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_acorr_ljung_box PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_acorr_ljung_box_big_default PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_acorr_ljung_box_small_default PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_acorr_ljung_box_against_r PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_harvey_collier PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_rainbow PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_compare_lr PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_compare_j PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_compare_j_class PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_compare_error[compare_cox] PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_compare_error[compare_j] PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_compare_nested[compare_cox] PASSED [ 33%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_compare_nested[compare_j] PASSED [ 34%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_compare_cox PASSED [ 34%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_compare_cox_class PASSED [ 34%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_cusum_ols PASSED [ 34%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_breaks_hansen PASSED [ 34%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_recursive_residuals PASSED [ 34%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_normality PASSED [ 34%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_influence PASSED [ 34%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_basic PASSED [ 34%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_hac PASSED [ 34%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_het_goldfeldquandt PASSED [ 34%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_het_breusch_pagan PASSED [ 34%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_het_white PASSED [ 34%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_het_white_error PASSED [ 34%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_het_arch PASSED [ 34%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_het_arch2 PASSED [ 34%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_acorr_breusch_godfrey PASSED [ 34%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_acorr_breusch_godfrey_multidim PASSED [ 34%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_acorr_ljung_box PASSED [ 34%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_acorr_ljung_box_big_default PASSED [ 34%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_acorr_ljung_box_small_default PASSED [ 34%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_acorr_ljung_box_against_r PASSED [ 34%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_harvey_collier PASSED [ 34%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_rainbow PASSED [ 34%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_compare_lr PASSED [ 34%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_compare_j PASSED [ 34%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_compare_j_class PASSED [ 34%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_compare_error[compare_cox] PASSED [ 34%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_compare_error[compare_j] PASSED [ 34%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_compare_nested[compare_cox] PASSED [ 34%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_compare_nested[compare_j] PASSED [ 34%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_compare_cox PASSED [ 34%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_compare_cox_class PASSED [ 34%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_cusum_ols PASSED [ 34%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_breaks_hansen PASSED [ 34%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_recursive_residuals PASSED [ 34%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_normality PASSED [ 34%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_influence PASSED [ 34%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::test_spec_white PASSED [ 34%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::test_spec_white_error PASSED [ 34%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::test_linear_lm_direct PASSED [ 34%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::test_outlier_influence_funcs PASSED [ 34%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::test_influence_wrapped PASSED [ 34%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::test_influence_dtype PASSED [ 34%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::test_outlier_test PASSED [ 34%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::test_ljungbox_dof_adj PASSED [ 34%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::test_ljungbox_errors_warnings PASSED [ 34%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::test_ljungbox_period PASSED [ 34%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::test_encompasing_direct[nonrobust] PASSED [ 34%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::test_encompasing_direct[HC0] PASSED [ 34%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::test_encompasing_error PASSED [ 34%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::test_reset_smoke[cov0-True-fitted-2] PASSED [ 34%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::test_reset_smoke[cov0-True-fitted-3] PASSED [ 34%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::test_reset_smoke[cov0-True-exog-2] PASSED [ 34%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::test_reset_smoke[cov0-True-exog-3] PASSED [ 34%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::test_reset_smoke[cov0-True-princomp-2] PASSED [ 34%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::test_reset_smoke[cov0-True-princomp-3] PASSED [ 34%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::test_reset_smoke[cov0-False-fitted-2] PASSED [ 34%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::test_reset_smoke[cov0-False-fitted-3] PASSED [ 34%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::test_reset_smoke[cov0-False-exog-2] PASSED [ 34%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_dist_dependant_measures.py::TestDistDependenceMeasures::test_results_on_the_quakes_dataset SKIPPED [ 34%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_gof.py::test_chisquare_effectsize PASSED [ 34%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_groups_sw.py::TestBalanced::test_values PASSED [ 34%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_groups_sw.py::TestBalanced::test_raises PASSED [ 35%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_influence.py::test_influence_glm_bernoulli PASSED [ 35%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_influence.py::TestInfluenceLogitGLMMLE::test_basics PASSED [ 35%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_influence.py::TestInfluenceLogitGLMMLE::test_looo PASSED [ 35%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_influence.py::TestInfluenceBinomialGLMMLE::test_plots PASSED [ 35%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_influence.py::TestInfluenceBinomialGLMMLE::test_looo PASSED [ 35%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_influence.py::TestInfluenceGaussianGLMMLE::test_looo PASSED [ 35%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_influence.py::TestInfluenceGaussianGLMOLS::test_basics PASSED [ 35%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_inter_rater.py::test_fleiss_kappa PASSED [ 35%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_knockoff.py::test_equi PASSED [ 35%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_knockoff.py::test_sdp PASSED [ 35%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_knockoff.py::test_testers[equi-tester0-49] PASSED [ 35%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_lilliefors.py::TestLilliefors::test_pval_bounds PASSED [ 35%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_lilliefors.py::TestLilliefors::test_min_nobs PASSED [ 35%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_lilliefors.py::TestLilliefors::test_large_sample PASSED [ 35%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_lilliefors.py::test_get_lilliefors_errors PASSED [ 35%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_lilliefors.py::test_ksstat PASSED [ 35%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_mediation.py::test_framing_example PASSED [ 35%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_mediation.py::test_framing_example_moderator PASSED [ 35%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_mediation.py::test_framing_example_formula PASSED [ 35%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_mediation.py::test_framing_example_moderator_formula PASSED [ 35%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_mediation.py::test_mixedlm PASSED [ 35%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_moment_helpers.py::test_cov2corr PASSED [ 35%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_moment_helpers.py::test_moment_conversion[mom0] PASSED [ 35%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_moment_helpers.py::test_moment_conversion[mom1] PASSED [ 35%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_moment_helpers.py::test_moment_conversion[mom2] PASSED [ 35%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_moment_helpers.py::test_moment_conversion[mom3] PASSED [ 35%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_moment_helpers.py::test_moment_conversion[mom4] PASSED [ 35%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_moment_helpers.py::test_moment_conversion[mom5] PASSED [ 35%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_moment_helpers.py::test_moment_conversion[mom6] PASSED [ 35%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_moment_helpers.py::test_moment_conversion[mom7] PASSED [ 35%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_moment_helpers.py::test_moment_conversion[mom8] PASSED [ 35%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_moment_helpers.py::test_moment_conversion[mom9] PASSED [ 35%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_moment_helpers.py::test_moment_conversion[mom10] PASSED [ 35%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_moment_helpers.py::test_multidimensional[test_vals0] PASSED [ 35%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_moment_helpers.py::test_multidimensional[test_vals1] PASSED [ 35%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_moment_helpers.py::test_moment_conversion_types[cum2mc0] PASSED [ 35%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_moment_helpers.py::test_moment_conversion_types[cum2mc1] PASSED [ 35%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_moment_helpers.py::test_moment_conversion_types[mc2cum] PASSED [ 35%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_moment_helpers.py::test_moment_conversion_types[mc2mnc] PASSED [ 35%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_moment_helpers.py::test_moment_conversion_types[mc2mvsk] PASSED [ 35%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_moment_helpers.py::test_moment_conversion_types[mnc2cum] PASSED [ 35%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_moment_helpers.py::test_moment_conversion_types[mnc2mc0] PASSED [ 35%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_moment_helpers.py::test_moment_conversion_types[mnc2mc1] PASSED [ 35%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_moment_helpers.py::test_moment_conversion_types[mvsk2mc] PASSED [ 35%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_moment_helpers.py::test_moment_conversion_types[mvsk2mnc] PASSED [ 35%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests1::test_multi_pvalcorrection_rmethods[BH-val0] PASSED [ 35%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests1::test_multi_pvalcorrection_rmethods[BY-val1] PASSED [ 35%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests1::test_multi_pvalcorrection_rmethods[Bonferroni-val2] PASSED [ 35%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests1::test_multi_pvalcorrection_rmethods[Hochberg-val3] PASSED [ 35%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests1::test_multi_pvalcorrection_rmethods[Holm-val4] PASSED [ 35%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests1::test_multi_pvalcorrection_rmethods[SidakSD-val5] PASSED [ 35%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests1::test_multi_pvalcorrection_rmethods[SidakSS-val6] PASSED [ 35%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests1::test_multi_pvalcorrection_rmethods[TSBH_0.05-val7] PASSED [ 35%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests1::test_multi_pvalcorrection_rmethods[rawp-val8] PASSED [ 35%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests1::test_multi_pvalcorrection PASSED [ 35%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests2::test_multi_pvalcorrection_rmethods[BH-val0] PASSED [ 35%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests2::test_multi_pvalcorrection_rmethods[BY-val1] PASSED [ 35%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests2::test_multi_pvalcorrection_rmethods[Bonferroni-val2] PASSED [ 35%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests2::test_multi_pvalcorrection_rmethods[Hochberg-val3] PASSED [ 35%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests2::test_multi_pvalcorrection_rmethods[Holm-val4] PASSED [ 35%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests2::test_multi_pvalcorrection_rmethods[SidakSD-val5] PASSED [ 35%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests2::test_multi_pvalcorrection_rmethods[SidakSS-val6] PASSED [ 35%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests2::test_multi_pvalcorrection_rmethods[TSBH_0.05-val7] PASSED [ 35%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests2::test_multi_pvalcorrection_rmethods[rawp-val8] PASSED [ 35%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests2::test_multi_pvalcorrection PASSED [ 35%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests3::test_multi_pvalcorrection_rmethods[BH-val0] PASSED [ 35%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests3::test_multi_pvalcorrection_rmethods[BY-val1] PASSED [ 35%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests3::test_multi_pvalcorrection_rmethods[Bonferroni-val2] PASSED [ 35%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests3::test_multi_pvalcorrection_rmethods[Hochberg-val3] PASSED [ 35%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests3::test_multi_pvalcorrection_rmethods[Holm-val4] PASSED [ 35%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests3::test_multi_pvalcorrection_rmethods[SidakSD-val5] PASSED [ 35%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests3::test_multi_pvalcorrection_rmethods[SidakSS-val6] PASSED [ 35%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests3::test_multi_pvalcorrection_rmethods[TSBH_0.05-val7] PASSED [ 35%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests3::test_multi_pvalcorrection_rmethods[rawp-val8] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests3::test_multi_pvalcorrection PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests4::test_multi_pvalcorrection_rmethods[BH-val0] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests4::test_multi_pvalcorrection_rmethods[BY-val1] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests4::test_multi_pvalcorrection_rmethods[Bonferroni-val2] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests4::test_multi_pvalcorrection_rmethods[Hochberg-val3] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests4::test_multi_pvalcorrection_rmethods[Holm-val4] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests4::test_multi_pvalcorrection_rmethods[SidakSD-val5] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests4::test_multi_pvalcorrection_rmethods[SidakSS-val6] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests4::test_multi_pvalcorrection_rmethods[TSBH_0.05-val7] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests4::test_multi_pvalcorrection_rmethods[rawp-val8] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests4::test_multi_pvalcorrection PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-b-0.01] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-b-0.05] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-b-0.1] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-s-0.01] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-s-0.05] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-s-0.1] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-sh-0.01] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-sh-0.05] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-sh-0.1] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-hs-0.01] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-hs-0.05] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-hs-0.1] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-h-0.01] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-h-0.05] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-h-0.1] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-hommel-0.01] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-hommel-0.05] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-hommel-0.1] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-fdr_i-0.01] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-fdr_i-0.05] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-fdr_i-0.1] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-fdr_n-0.01] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-fdr_n-0.05] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-fdr_n-0.1] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-fdr_tsbky-0.01] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-fdr_tsbky-0.05] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-fdr_tsbky-0.1] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-fdr_tsbh-0.01] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-fdr_tsbh-0.05] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-fdr_tsbh-0.1] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-fdr_gbs-0.01] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-fdr_gbs-0.05] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-fdr_gbs-0.1] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-b-0.01] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-b-0.05] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-b-0.1] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-s-0.01] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-s-0.05] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-s-0.1] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-sh-0.01] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-sh-0.05] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-sh-0.1] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-hs-0.01] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-hs-0.05] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-hs-0.1] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-h-0.01] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-h-0.05] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-h-0.1] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-hommel-0.01] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-hommel-0.05] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-hommel-0.1] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-fdr_i-0.01] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-fdr_i-0.05] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-fdr_i-0.1] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-fdr_n-0.01] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-fdr_n-0.05] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-fdr_n-0.1] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-fdr_tsbky-0.01] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-fdr_tsbky-0.05] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-fdr_tsbky-0.1] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-fdr_tsbh-0.01] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-fdr_tsbh-0.05] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-fdr_tsbh-0.1] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-fdr_gbs-0.01] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-fdr_gbs-0.05] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-fdr_gbs-0.1] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-b-0.01] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-b-0.05] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-b-0.1] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-s-0.01] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-s-0.05] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-s-0.1] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-sh-0.01] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-sh-0.05] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-sh-0.1] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-hs-0.01] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-hs-0.05] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-hs-0.1] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-h-0.01] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-h-0.05] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-h-0.1] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-hommel-0.01] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-hommel-0.05] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-hommel-0.1] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-fdr_i-0.01] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-fdr_i-0.05] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-fdr_i-0.1] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-fdr_n-0.01] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-fdr_n-0.05] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-fdr_n-0.1] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-fdr_tsbky-0.01] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-fdr_tsbky-0.05] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-fdr_tsbky-0.1] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-fdr_tsbh-0.01] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-fdr_tsbh-0.05] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-fdr_tsbh-0.1] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-fdr_gbs-0.01] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-fdr_gbs-0.05] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-fdr_gbs-0.1] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-b-0.01] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-b-0.05] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-b-0.1] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-s-0.01] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-s-0.05] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-s-0.1] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-sh-0.01] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-sh-0.05] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-sh-0.1] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-hs-0.01] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-hs-0.05] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-hs-0.1] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-h-0.01] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-h-0.05] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-h-0.1] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-hommel-0.01] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-hommel-0.05] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-hommel-0.1] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-fdr_i-0.01] PASSED [ 36%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-fdr_i-0.05] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-fdr_i-0.1] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-fdr_n-0.01] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-fdr_n-0.05] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-fdr_n-0.1] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-fdr_tsbky-0.01] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-fdr_tsbky-0.05] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-fdr_tsbky-0.1] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-fdr_tsbh-0.01] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-fdr_tsbh-0.05] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-fdr_tsbh-0.1] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-fdr_gbs-0.01] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-fdr_gbs-0.05] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-fdr_gbs-0.1] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-b-0.01] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-b-0.05] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-b-0.1] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-s-0.01] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-s-0.05] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-s-0.1] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-sh-0.01] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-sh-0.05] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-sh-0.1] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-hs-0.01] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-hs-0.05] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-hs-0.1] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-h-0.01] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-h-0.05] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-h-0.1] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-hommel-0.01] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-hommel-0.05] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-hommel-0.1] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-fdr_i-0.01] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-fdr_i-0.05] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-fdr_i-0.1] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-fdr_n-0.01] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-fdr_n-0.05] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-fdr_n-0.1] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-fdr_tsbky-0.01] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-fdr_tsbky-0.05] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-fdr_tsbky-0.1] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-fdr_tsbh-0.01] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-fdr_tsbh-0.05] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-fdr_tsbh-0.1] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-fdr_gbs-0.01] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-fdr_gbs-0.05] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-fdr_gbs-0.1] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-b-0.01] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-b-0.05] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-b-0.1] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-s-0.01] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-s-0.05] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-s-0.1] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-sh-0.01] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-sh-0.05] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-sh-0.1] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-hs-0.01] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-hs-0.05] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-hs-0.1] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-h-0.01] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-h-0.05] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-h-0.1] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-hommel-0.01] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-hommel-0.05] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-hommel-0.1] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-fdr_i-0.01] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-fdr_i-0.05] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-fdr_i-0.1] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-fdr_n-0.01] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-fdr_n-0.05] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-fdr_n-0.1] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-fdr_tsbky-0.01] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-fdr_tsbky-0.05] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-fdr_tsbky-0.1] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-fdr_tsbh-0.01] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-fdr_tsbh-0.05] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-fdr_tsbh-0.1] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-fdr_gbs-0.01] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-fdr_gbs-0.05] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-fdr_gbs-0.1] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-b-0.01] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-b-0.05] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-b-0.1] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-s-0.01] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-s-0.05] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-s-0.1] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-sh-0.01] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-sh-0.05] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-sh-0.1] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-hs-0.01] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-hs-0.05] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-hs-0.1] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-h-0.01] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-h-0.05] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-h-0.1] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-hommel-0.01] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-hommel-0.05] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-hommel-0.1] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-fdr_i-0.01] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-fdr_i-0.05] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-fdr_i-0.1] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-fdr_n-0.01] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-fdr_n-0.05] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-fdr_n-0.1] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-fdr_tsbky-0.01] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-fdr_tsbky-0.05] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-fdr_tsbky-0.1] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-fdr_tsbh-0.01] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-fdr_tsbh-0.05] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-fdr_tsbh-0.1] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-fdr_gbs-0.01] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-fdr_gbs-0.05] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-fdr_gbs-0.1] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-b-0.01] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-b-0.05] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-b-0.1] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-s-0.01] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-s-0.05] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-s-0.1] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-sh-0.01] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-sh-0.05] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-sh-0.1] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-hs-0.01] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-hs-0.05] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-hs-0.1] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-h-0.01] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-h-0.05] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-h-0.1] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-hommel-0.01] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-hommel-0.05] PASSED [ 37%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-hommel-0.1] PASSED [ 38%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-fdr_i-0.01] PASSED [ 38%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-fdr_i-0.05] PASSED [ 38%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-fdr_i-0.1] PASSED [ 38%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-fdr_n-0.01] PASSED [ 38%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-fdr_n-0.05] PASSED [ 38%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-fdr_n-0.1] PASSED [ 38%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-fdr_tsbky-0.01] PASSED [ 38%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-fdr_tsbky-0.05] PASSED [ 38%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-fdr_tsbky-0.1] PASSED [ 38%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-fdr_tsbh-0.01] PASSED [ 38%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-fdr_tsbh-0.05] PASSED [ 38%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-fdr_tsbh-0.1] PASSED [ 38%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-fdr_gbs-0.01] PASSED [ 38%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-fdr_gbs-0.05] PASSED [ 38%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-fdr_gbs-0.1] PASSED [ 38%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-b-0.01] PASSED [ 38%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-b-0.05] PASSED [ 38%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-b-0.1] PASSED [ 38%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-s-0.01] PASSED [ 38%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-s-0.05] PASSED [ 38%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-s-0.1] PASSED [ 38%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-sh-0.01] PASSED [ 38%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-sh-0.05] PASSED [ 38%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-sh-0.1] PASSED [ 38%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-hs-0.01] PASSED [ 38%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-hs-0.05] PASSED [ 38%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-hs-0.1] PASSED [ 38%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-h-0.01] PASSED [ 38%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-h-0.05] PASSED [ 38%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-h-0.1] PASSED [ 38%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-hommel-0.01] PASSED [ 38%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-hommel-0.05] PASSED [ 38%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-hommel-0.1] PASSED [ 38%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-fdr_i-0.01] PASSED [ 38%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-fdr_i-0.05] PASSED [ 38%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-fdr_i-0.1] PASSED [ 38%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-fdr_n-0.01] PASSED [ 38%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-fdr_n-0.05] PASSED [ 38%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-fdr_n-0.1] PASSED [ 38%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-fdr_tsbky-0.01] PASSED [ 38%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-fdr_tsbky-0.05] PASSED [ 38%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-fdr_tsbky-0.1] PASSED [ 38%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-fdr_tsbh-0.01] PASSED [ 38%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-fdr_tsbh-0.05] PASSED [ 38%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-fdr_tsbh-0.1] PASSED [ 38%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-fdr_gbs-0.01] PASSED [ 38%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-fdr_gbs-0.05] PASSED [ 38%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-fdr_gbs-0.1] PASSED [ 38%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[9-b-0.01] PASSED [ 38%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[9-b-0.05] PASSED [ 38%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[9-b-0.1] PASSED [ 38%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[9-s-0.01] PASSED [ 38%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[9-s-0.05] PASSED [ 38%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[9-s-0.1] PASSED [ 38%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[9-sh-0.01] PASSED [ 38%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[9-sh-0.05] PASSED [ 38%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[9-sh-0.1] PASSED [ 38%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[9-hs-0.01] PASSED [ 38%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[9-hs-0.05] PASSED [ 38%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[9-hs-0.1] PASSED [ 38%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[9-h-0.01] PASSED [ 38%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[9-h-0.05] PASSED [ 38%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[9-h-0.1] PASSED [ 38%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[9-hommel-0.01] PASSED [ 38%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[9-hommel-0.05] PASSED [ 38%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[9-hommel-0.1] PASSED [ 38%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[9-fdr_i-0.01] PASSED [ 38%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[9-fdr_i-0.05] PASSED [ 38%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[9-fdr_i-0.1] PASSED [ 38%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[9-fdr_n-0.01] PASSED [ 38%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[9-fdr_n-0.05] PASSED [ 38%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[9-fdr_n-0.1] PASSED [ 38%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[9-fdr_tsbky-0.01] PASSED [ 38%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[9-fdr_tsbky-0.05] PASSED [ 38%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[9-fdr_tsbky-0.1] PASSED [ 38%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[9-fdr_tsbh-0.01] PASSED [ 38%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[9-fdr_tsbh-0.05] PASSED [ 38%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[9-fdr_tsbh-0.1] PASSED [ 38%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[9-fdr_gbs-0.01] PASSED [ 38%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[9-fdr_gbs-0.05] PASSED [ 38%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_power.py::TestTTPowerTwoS6::test_roots PASSED [ 39%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_power.py::TestTTPowerTwoS6::test_power_plot PASSED [ 39%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_power.py::test_normal_power_explicit PASSED [ 39%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_power.py::TestNormalIndPower1::test_power PASSED [ 39%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_power.py::TestNormalIndPower1::test_positional PASSED [ 39%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_power.py::TestNormalIndPower1::test_roots PASSED [ 39%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_power.py::TestNormalIndPower1::test_power_plot PASSED [ 39%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_power.py::TestNormalIndPower2::test_power PASSED [ 39%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_power.py::TestNormalIndPower2::test_positional PASSED [ 39%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_power.py::TestNormalIndPower2::test_roots PASSED [ 39%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_power.py::TestNormalIndPower2::test_power_plot PASSED [ 39%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_power.py::TestNormalIndPower_onesamp1::test_power PASSED [ 39%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_power.py::TestNormalIndPower_onesamp1::test_positional PASSED [ 39%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_power.py::TestNormalIndPower_onesamp1::test_power_plot PASSED [ 39%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_power.py::TestNormalIndPower_onesamp2::test_power PASSED [ 39%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_power.py::TestNormalIndPower_onesamp2::test_positional PASSED [ 39%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_power.py::TestNormalIndPower_onesamp2::test_roots PASSED [ 39%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_power.py::TestNormalIndPower_onesamp2::test_power_plot PASSED [ 39%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_power.py::TestChisquarePower::test_power PASSED [ 39%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_power.py::TestChisquarePower::test_roots PASSED [ 39%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_power.py::TestChisquarePower::test_power_plot PASSED [ 39%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_power.py::TestChisquarePower::test_positional PASSED [ 39%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_power.py::test_ftest_power PASSED [ 39%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_power.py::TestFtestAnovaPower::test_power PASSED [ 39%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_power.py::TestFtestAnovaPower::test_positional PASSED [ 39%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_power.py::TestFtestAnovaPower::test_roots PASSED [ 39%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_power.py::TestFtestAnovaPower::test_power_plot PASSED [ 39%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_power.py::TestFtestPower::test_power PASSED [ 39%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_power.py::test_power_solver_warn XFAIL [ 40%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_confint_proportion_ndim[agresti_coull] PASSED [ 40%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_proportion.py::TestProportion::test_proptest PASSED [ 40%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_proportion.py::TestProportion::test_number_pairs_1493 PASSED [ 40%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_proportion.py::TestProportion::test_default_values PASSED [ 40%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_binom_test PASSED [ 40%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_binom_rejection_interval PASSED [ 40%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_binom_tost PASSED [ 40%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ztost PASSED [ 40%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_power_ztost_prop_norm PASSED [ 40%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_sandwich.py::test_hac_simple PASSED [ 40%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_statstools.py::test_durbin_watson PASSED [ 40%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_statstools.py::test_omni_normtest PASSED [ 40%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_statstools.py::TestStattools::test_medcouple_no_axis PASSED [ 40%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_statstools.py::TestStattools::test_medcouple_1d PASSED [ 40%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_statstools.py::TestStattools::test_durbin_watson PASSED [ 40%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_statstools.py::TestStattools::test_robust_skewness_1d PASSED [ 40%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_statstools.py::TestStattools::test_robust_kurtosis_1d_2d PASSED [ 40%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_statstools.py::TestStattools::test_robust_kurtosis PASSED [ 40%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_statstools.py::TestStattools::test_robust_kurtosis_3d PASSED [ 40%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_statstools.py::TestStattools::test_robust_kurtosis_excess_false PASSED [ 40%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_statstools.py::TestStattools::test_robust_kurtosis_dg PASSED [ 40%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_tabledist.py::test_tabledist PASSED [ 40%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_tost.py::TestTostp1::test_pval PASSED [ 40%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_tost.py::TestTostp1::test_special PASSED [ 40%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_tost.py::TestTostp2::test_pval PASSED [ 40%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_tost.py::TestTosti1::test_pval PASSED [ 40%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_tost.py::TestTosti2::test_pval PASSED [ 40%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_tost.py::TestTostip1::test_pval PASSED [ 40%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_tost.py::TestTostip2::test_pval PASSED [ 40%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_tost.py::test_tost_log PASSED [ 40%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_tost.py::test_tost_asym PASSED [ 40%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_tost.py::test_ttest PASSED [ 40%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_tost.py::test_tost_transform_paired XFAIL [ 40%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestSim1::test_mean PASSED [ 40%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestSim1::test_sum PASSED [ 40%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestSim1::test_var PASSED [ 40%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestSim1::test_std PASSED [ 40%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestSim1::test_sem PASSED [ 40%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestSim1::test_quantiles PASSED [ 40%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestSim1t::test_mean PASSED [ 40%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestSim1t::test_sum PASSED [ 40%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestSim1t::test_var PASSED [ 40%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestSim1t::test_std PASSED [ 40%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestSim1t::test_sem PASSED [ 40%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestSim1t::test_quantiles PASSED [ 40%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestSim1n::test_mean PASSED [ 40%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestSim1n::test_sum PASSED [ 40%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestSim1n::test_var PASSED [ 40%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestSim1n::test_std PASSED [ 40%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestSim1n::test_sem PASSED [ 40%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestSim1n::test_quantiles PASSED [ 40%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestSim2::test_mean PASSED [ 40%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestSim2::test_sum PASSED [ 40%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestSim2::test_var PASSED [ 40%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestSim2::test_std PASSED [ 40%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestSim2::test_sem PASSED [ 40%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestSim2::test_quantiles PASSED [ 40%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestWeightstats::test_weightstats_1 PASSED [ 40%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestWeightstats::test_weightstats_2 PASSED [ 40%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestWeightstats::test_weightstats_3 PASSED [ 40%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestWeightstats::test_weightstats_ddof_tests PASSED [ 40%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestWeightstats::test_comparemeans_convenient_interface PASSED [ 40%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestWeightstats::test_comparemeans_convenient_interface_1d PASSED [ 40%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestWeightstats1d_ddof::test_basic PASSED [ 40%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestWeightstats1d_ddof::test_ttest PASSED [ 40%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestWeightstats1d_ddof::test_ttest_2sample PASSED [ 40%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestWeightstats1d_ddof::test_confint_mean PASSED [ 40%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestWeightstats2d::test_basic PASSED [ 40%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestWeightstats2d::test_ttest PASSED [ 40%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestWeightstats2d::test_ttest_2sample PASSED [ 40%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestWeightstats2d::test_confint_mean PASSED [ 40%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestWeightstats2d::test_corr PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestWeightstats2d_ddof::test_basic PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestWeightstats2d_ddof::test_ttest PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestWeightstats2d_ddof::test_ttest_2sample PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestWeightstats2d_ddof::test_confint_mean PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestWeightstats2d_ddof::test_corr PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestWeightstats2d_nobs::test_basic PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestWeightstats2d_nobs::test_ttest PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestWeightstats2d_nobs::test_ttest_2sample PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestWeightstats2d_nobs::test_confint_mean PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestWeightstats2d_nobs::test_corr PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::test_ttest_ind_with_uneq_var PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::test_ztest_ztost PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestZTest::test PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tests/test_package.py::test_lazy_imports PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tests/test_package.py::test_docstring_optimization_compat PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_catadd.py::test_add_indep PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_data.py::test_missing_data_pandas PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_data.py::test_structarray PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_data.py::test_recarray PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_data.py::test_dataframe PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_data.py::test_patsy_577 PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_decorators.py::test_cache_readonly PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_decorators.py::test_deprecated_alias[test message-None-FutureWarning] PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_decorators.py::test_deprecated_alias[test message-None-UserWarning] PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_decorators.py::test_deprecated_alias[test message-0.11-FutureWarning] PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_decorators.py::test_deprecated_alias[test message-0.11-UserWarning] PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_decorators.py::test_deprecated_alias[None-None-FutureWarning] PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_decorators.py::test_deprecated_alias[None-None-UserWarning] PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_decorators.py::test_deprecated_alias[None-0.11-FutureWarning] PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_decorators.py::test_deprecated_alias[None-0.11-UserWarning] PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_docstring.py::test_remove_parameter PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_docstring.py::test_insert_parameters PASSED [ 41%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_docstring.py::test_replace_block PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_docstring.py::test_repeat PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_docstring.py::test_bad PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_docstring.py::test_empty_ds PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_docstring.py::test_yield_return PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_docstring.py::test_multiple_sig PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_eval_measures.py::test_eval_measures PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_eval_measures.py::test_ic_equivalence[aic-aic_sigma] PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_eval_measures.py::test_ic_equivalence[aicc-aicc_sigma] PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_eval_measures.py::test_ic_equivalence[bic-bic_sigma] PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_eval_measures.py::test_ic_equivalence[hqic-hqic_sigma] PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_eval_measures.py::test_ic PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_eval_measures.py::test_iqr_axis PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_grouputils.py::TestMultiIndexGrouping::test_reindex PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_grouputils.py::TestMultiIndexGrouping::test_count_categories PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_grouputils.py::TestMultiIndexGrouping::test_sort PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_grouputils.py::TestMultiIndexGrouping::test_transform_dataframe PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_grouputils.py::TestMultiIndexGrouping::test_transform_array PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_grouputils.py::TestMultiIndexGrouping::test_transform_slices PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_grouputils.py::TestMultiIndexGrouping::test_dummies_groups PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_grouputils.py::TestMultiIndexGrouping::test_dummy_sparse PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_grouputils.py::TestIndexGrouping::test_reindex PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_grouputils.py::TestIndexGrouping::test_count_categories PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_grouputils.py::TestIndexGrouping::test_sort PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_grouputils.py::TestIndexGrouping::test_transform_dataframe PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_grouputils.py::TestIndexGrouping::test_transform_array PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_grouputils.py::TestIndexGrouping::test_transform_slices PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_grouputils.py::TestIndexGrouping::test_dummies_groups PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_grouputils.py::TestIndexGrouping::test_dummy_sparse PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_grouputils.py::test_init_api PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_grouputils.py::test_combine_indices PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_grouputils.py::test_group_sums PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_grouputils.py::test_group_class PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_grouputils.py::test_dummy_sparse PASSED [ 41%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_numdiff.py::TestGradMNLogit::test_score PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_numdiff.py::TestGradMNLogit::test_hess PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_numdiff.py::TestGradLogit::test_score PASSED [ 41%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_numdiff.py::TestDerivativeFun::test_grad_fun1_fd PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_numdiff.py::TestDerivativeFun::test_grad_fun1_fdc PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_numdiff.py::TestDerivativeFun::test_grad_fun1_cs PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_numdiff.py::TestDerivativeFun::test_hess_fun1_fd PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_numdiff.py::TestDerivativeFun::test_hess_fun1_cs PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_numdiff.py::TestDerivativeFun2::test_grad_fun1_fd PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_numdiff.py::TestDerivativeFun2::test_grad_fun1_fdc PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_numdiff.py::TestDerivativeFun2::test_grad_fun1_cs PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_numdiff.py::TestDerivativeFun2::test_hess_fun1_fd PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_numdiff.py::TestDerivativeFun2::test_hess_fun1_cs PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_numdiff.py::TestDerivativeFun1::test_grad_fun1_fd PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_numdiff.py::TestDerivativeFun1::test_grad_fun1_fdc PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_numdiff.py::TestDerivativeFun1::test_grad_fun1_cs PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_numdiff.py::TestDerivativeFun1::test_hess_fun1_fd PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_numdiff.py::TestDerivativeFun1::test_hess_fun1_cs PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_numdiff.py::test_dtypes PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_parallel.py::test_parallel PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_rootfinding.py::test_brentq_expanding PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_sequences.py::test_discrepancy PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_sequences.py::test_van_der_corput PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_sequences.py::test_primes PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_sequences.py::test_halton PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_testing.py::test_bad_table PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_testing.py::test_holder PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestTools::test_add_constant_list PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestTools::test_add_constant_1d PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestTools::test_add_constant_has_constant1d PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestTools::test_add_constant_has_constant2d PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestTools::test_add_constant_recarray PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestTools::test_add_constant_series PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestTools::test_add_constant_dataframe PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestTools::test_add_constant_zeros PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestTools::test_recipr PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestTools::test_recipr0 PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestTools::test_extendedpinv PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestTools::test_extendedpinv_singular PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestTools::test_fullrank PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_tools.py::test_estimable PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestCategoricalNumerical::test_array2d PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestCategoricalNumerical::test_array1d PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestCategoricalNumerical::test_array1d_col_error PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestCategoricalNumerical::test_array2d_drop PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestCategoricalNumerical::test_array1d_drop PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestCategoricalNumerical::test_recarray2d PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestCategoricalNumerical::test_recarray2d_error PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestCategoricalNumerical::test_recarray2dint PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestCategoricalNumerical::test_recarray1d PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestCategoricalNumerical::test_recarray1d_drop PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestCategoricalNumerical::test_recarray2d_drop PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestCategoricalNumerical::test_structarray2d PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestCategoricalNumerical::test_structarray2dint PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestCategoricalNumerical::test_structarray1d PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestCategoricalNumerical::test_structarray2d_drop PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestCategoricalNumerical::test_structarray1d_drop PASSED [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestCategoricalNumerical::test_arraylike2d XFAIL [ 41%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestCategoricalNumerical::test_arraylike1d XFAIL [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestCategoricalNumerical::test_arraylike2d_drop XFAIL [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestCategoricalNumerical::test_arraylike1d_drop XFAIL [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestCategoricalString::test_array1d_col_error PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestCategoricalString::test_recarray2d_error PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestCategoricalString::test_array2d XPASS [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestCategoricalString::test_array1d XPASS [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestCategoricalString::test_array2d_drop XPASS [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestCategoricalString::test_array1d_drop PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestCategoricalString::test_recarray2d PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestCategoricalString::test_recarray2dint PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestCategoricalString::test_recarray1d PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestCategoricalString::test_recarray1d_drop PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestCategoricalString::test_recarray2d_drop PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestCategoricalString::test_structarray2d PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestCategoricalString::test_structarray2dint PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestCategoricalString::test_structarray1d PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestCategoricalString::test_structarray2d_drop PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestCategoricalString::test_structarray1d_drop PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestCategoricalString::test_arraylike2d XFAIL [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestCategoricalString::test_arraylike1d XFAIL [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestCategoricalString::test_arraylike2d_drop XFAIL [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestCategoricalString::test_arraylike1d_drop XFAIL [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_tools.py::test_rec_issue302 PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_tools.py::test_issue302 PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_tools.py::test_pandas_const_series PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_tools.py::test_pandas_const_series_prepend PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_tools.py::test_pandas_const_df PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_tools.py::test_pandas_const_df_prepend PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestNanDot::test_11 PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestNanDot::test_12 PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestNanDot::test_13 PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestNanDot::test_14 PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestNanDot::test_41 PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestNanDot::test_23 PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestNanDot::test_32 PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestNanDot::test_24 PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestNanDot::test_25 PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestNanDot::test_66 PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestEnsure2d::test_enfore_numpy PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestEnsure2d::test_pandas PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestEnsure2d::test_numpy PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_tools.py::test_categorical_pandas_errors PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_tools.py::test_categorical_series PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_tools.py::test_categorical_dataframe PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_tools.py::test_categorical_errors PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_transform_model.py::test_standardize1 PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_transform_model.py::test_standardize_ols PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_web.py::TestWeb::test_string PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_web.py::TestWeb::test_function PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_web.py::TestWeb::test_nothing PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/tests/test_web.py::TestWeb::test_errors PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::TestArrayLike::test_1d[True] PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::TestArrayLike::test_1d[False] PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::TestArrayLike::test_2d[True] PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::TestArrayLike::test_2d[False] PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::TestArrayLike::test_3d PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::TestArrayLike::test_right_squeeze_and_pad PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::TestArrayLike::test_contiguous PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::TestArrayLike::test_dtype PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::TestArrayLike::test_dot[True] XFAIL [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::TestArrayLike::test_dot[False] XFAIL [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::TestArrayLike::test_slice[True] PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::TestArrayLike::test_slice[False] PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::test_right_squeeze PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::test_wrap_pandas[True] PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::test_wrap_pandas[False] PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::test_wrap_pandas_append PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::test_optional_dict_like[dict] PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::test_optional_dict_like[OrderedDict] PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::test_optional_dict_like[CustomDict] PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::test_optional_dict_like[None] PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::test_optional_dict_like_error PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::test_string PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::test_optional_string PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::test_float_like[1.0] PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::test_float_like[1.1] PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::test_float_like[floating2] PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::test_float_like[floating3] PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::test_float_like[floating4] PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::test_not_float_like[not_floating0] PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::test_not_float_like[not_floating1] PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::test_not_float_like[True] PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::test_not_float_like[3.2] PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::test_not_float_like[None] PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::test_int_like[1.0] PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::test_int_like[2] PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::test_int_like[integer2] PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::test_int_like[integer3] PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::test_not_int_like[3.2] PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::test_not_int_like[not_integer1] PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::test_not_int_like[not_integer2] PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::test_not_int_like[not_integer3] PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::test_not_int_like[apple] PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::test_not_int_like[not_integer5] PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::test_not_int_like[not_integer6] PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::test_bool_like[True] PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::test_bool_like[False] PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::test_bool_like[1] PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::test_bool_like[1.2] PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::test_bool_like[a] PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::test_bool_like[] PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::test_not_bool_like PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_burg.py::test_brockwell_davis_example_513 PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_burg.py::test_brockwell_davis_example_514 PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_burg.py::test_itsmr PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_burg.py::test_nonstationary_series PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_burg.py::test_invalid PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_burg.py::test_misc PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_durbin_levinson.py::test_brockwell_davis_example_511 PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_durbin_levinson.py::test_itsmr PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_durbin_levinson.py::test_nonstationary_series PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_durbin_levinson.py::test_nonstationary_series_variance XFAIL [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_durbin_levinson.py::test_invalid PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_durbin_levinson.py::test_misc PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_gls.py::test_brockwell_davis_example_661 PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_gls.py::test_brockwell_davis_example_662 PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_gls.py::test_integrated PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_gls.py::test_integrated_invalid PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_gls.py::test_results PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_gls.py::test_iterations PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_gls.py::test_misc PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_gls.py::test_alternate_arma_estimators_valid PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_gls.py::test_alternate_arma_estimators_invalid PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_gls.py::test_arma_kwargs PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_brockwell_davis_example_517 PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_itsmr PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_initial_order XFAIL [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_invalid_orders XFAIL [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_nonconsecutive_lags PASSED [ 42%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_unbiased_error PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_innovations.py::test_brockwell_davis_example_515 PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_innovations.py::test_innovations_ma_itsmr PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_innovations.py::test_innovations_ma_invalid PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_innovations.py::test_brockwell_davis_example_524 PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_innovations.py::test_brockwell_davis_example_524_variance XFAIL [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_innovations.py::test_brockwell_davis_example_525 PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_innovations.py::test_brockwell_davis_example_541 PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_innovations.py::test_innovations_mle_statespace PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_innovations.py::test_innovations_mle_statespace_seasonal PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_innovations.py::test_innovations_mle_statespace_nonconsecutive PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_innovations.py::test_innovations_mle_integrated PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_innovations.py::test_innovations_mle_misc PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_innovations.py::test_innovations_mle_invalid PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_statespace.py::test_basic PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_statespace.py::test_start_params PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_yule_walker.py::test_brockwell_davis_example_511 PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_yule_walker.py::test_brockwell_davis_example_514 PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_yule_walker.py::test_itsmr PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_yule_walker.py::test_invalid PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_yule_walker.py::test_invalid_xfail XFAIL [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/tests/test_model.py::test_default_trend PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/tests/test_model.py::test_invalid PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/tests/test_model.py::test_yule_walker PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/tests/test_model.py::test_burg PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/tests/test_model.py::test_hannan_rissanen PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/tests/test_model.py::test_innovations PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/tests/test_model.py::test_innovations_mle PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/tests/test_model.py::test_statespace PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/tests/test_model.py::test_low_memory PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/tests/test_model.py::test_clone PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/tests/test_model.py::test_append PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/tests/test_params.py::test_init PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/tests/test_params.py::test_set_params_single PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/tests/test_params.py::test_set_params_single_nonconsecutive PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/tests/test_params.py::test_set_params_multiple PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/tests/test_params.py::test_set_poly_short_lags PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/tests/test_params.py::test_set_poly_short_lags_nonconsecutive PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/tests/test_params.py::test_set_poly_longer_lags PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/tests/test_params.py::test_is_stationary PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/tests/test_params.py::test_is_invertible PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/tests/test_params.py::test_is_valid PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/tests/test_params.py::test_repr_str PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification_ar_or_ma[0-0-0-0-params0-p] PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification_ar_or_ma[1-0-0-0-params1-p] PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification_ar_or_ma[1-0-0-0-params2-p] PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification_ar_or_ma[2-0-0-0-params3-p] PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification_ar_or_ma[20-0-0-0-params4-p] PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification_ar_or_ma[0-1-0-0-params5-p] PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification_ar_or_ma[0-1-1-4-params6-p] PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification_ar_or_ma[1-1-0-0-params7-p] PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification_ar_or_ma[1-1-1-4-params8-p] PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification_ar_or_ma[0-0-0-0-params9-q] PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification_ar_or_ma[1-0-0-0-params10-q] PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification_ar_or_ma[1-0-0-0-params11-q] PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification_ar_or_ma[2-0-0-0-params12-q] PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification_ar_or_ma[20-0-0-0-params13-q] PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification_ar_or_ma[0-1-0-0-params14-q] PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification_ar_or_ma[0-1-1-4-params15-q] PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification_ar_or_ma[1-1-0-0-params16-q] PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification_ar_or_ma[1-1-1-4-params17-q] PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification[None-None-0-0-0-0-0-0-0-True-True-False] PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification[None-None-1-0-1-0-0-0-0-True-True-False] PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification[None-None-1-1-1-0-0-0-0-True-True-False] PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification[None-None-1-0-0-0-0-0-4-True-True-False] PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification[None-None-0-0-0-1-1-1-4-True-True-False] PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification[None-None-1-0-0-1-0-0-4-True-True-False] PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification[None-None-1-0-0-1-1-1-4-True-True-False] PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification[None-None-2-1-3-4-1-3-12-True-True-False] PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification[None-None-p8-0-0-1-0-0-4-True-True-False] PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification[None-None-0-0-0-0-0-Q9-4-True-True-False] PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification[None-None-p10-0-q10-P10-0-Q10-4-True-True-False] PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification[None-None-2-1-3-4-1-3-12-False-False-True] PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification[None-None-2-1-3-4-1-3-12-True-False-True] PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification[None-None-2-1-3-4-1-3-12-False-True-True] PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification[True-None-2-1-3-4-1-3-12-False-True-True] PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification[None-2-2-1-3-4-1-3-12-False-True-True] PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification[True-2-2-1-3-4-1-3-12-False-True-True] PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification[y-None-2-1-3-4-1-3-12-False-True-True] PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification[None-exog18-2-1-3-4-1-3-12-False-True-True] PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification[y-exog19-2-1-3-4-1-3-12-False-True-True] PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification[y-exog20-2-1-3-4-1-3-12-False-True-True] PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification[True-exog21-2-1-3-4-1-3-12-False-True-True] PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification[y-2-2-1-3-4-1-3-12-False-True-True] PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_misc PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_invalid PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_valid_estimators[order0-seasonal_order0-None-None-None-valid0] PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_valid_estimators[order1-seasonal_order1-None-None-None-valid1] PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_valid_estimators[order2-seasonal_order2-None-None-None-valid2] PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_valid_estimators[order3-seasonal_order3-None-None-None-valid3] PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_valid_estimators[order4-seasonal_order4-None-None-None-valid4] PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_valid_estimators[order5-seasonal_order5-True-None-None-valid5] PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_valid_estimators[order6-seasonal_order6-False-None-None-valid6] PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_valid_estimators[order7-seasonal_order7-None-True-None-valid7] PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_valid_estimators[order8-seasonal_order8-None-False-None-valid8] PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_valid_estimators[order9-seasonal_order9-None-None-True-valid9] PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_invalid_estimator PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/tests/test_tools.py::test_standardize_lag_order_int PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/tests/test_tools.py::test_standardize_lag_order_list_int PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/tests/test_tools.py::test_standardize_lag_order_tuple_int PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/tests/test_tools.py::test_standardize_lag_order_ndarray_int PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/tests/test_tools.py::test_standardize_lag_order_list_bool PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/tests/test_tools.py::test_standardize_lag_order_tuple_bool PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/tests/test_tools.py::test_standardize_lag_order_ndarray_bool PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/tests/test_tools.py::test_standardize_lag_order_misc PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/tests/test_tools.py::test_standardize_lag_order_invalid PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/arima/tests/test_tools.py::test_validate_basic PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/base/tests/test_base.py::test_pandas_nodates_index PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/base/tests/test_base.py::test_predict_freq PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/base/tests/test_base.py::test_keyerror_start_date PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/base/tests/test_base.py::test_period_index PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/base/tests/test_base.py::test_pandas_dates PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/base/tests/test_base.py::test_get_predict_start_end PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/base/tests/test_datetools.py::test_regex_matching_month PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/base/tests/test_datetools.py::test_regex_matching_quarter PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/base/tests/test_datetools.py::test_dates_from_range PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/base/tests/test_tsa_indexes.py::test_instantiation_valid PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/base/tests/test_tsa_indexes.py::test_prediction_increment_unsupported PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/base/tests/test_tsa_indexes.py::test_prediction_increment_nonpandas PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/base/tests/test_tsa_indexes.py::test_prediction_increment_pandas_noindex PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/base/tests/test_tsa_indexes.py::test_prediction_increment_pandas_dates_daily PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/base/tests/test_tsa_indexes.py::test_prediction_increment_pandas_dates_monthly PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/base/tests/test_tsa_indexes.py::test_prediction_increment_pandas_dates_nanosecond PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/base/tests/test_tsa_indexes.py::test_range_index PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/base/tests/test_tsa_indexes.py::test_prediction_rangeindex PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/base/tests/test_tsa_indexes.py::test_prediction_rangeindex_withstep PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/base/tests/test_tsa_indexes.py::test_custom_index PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/base/tests/test_tsa_indexes.py::test_nonmonotonic_periodindex PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/base/tests/test_tsa_indexes.py::test_nonfull_periodindex XFAIL [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/base/tests/test_tsa_indexes.py::test_get_index_loc_quarterly PASSED [ 43%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/filters/tests/test_filters.py::test_bking1d PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/filters/tests/test_filters.py::test_bking2d PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/filters/tests/test_filters.py::test_hpfilter PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/filters/tests/test_filters.py::test_cfitz_filter PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/filters/tests/test_filters.py::test_bking_pandas PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/filters/tests/test_filters.py::test_cfitz_pandas PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/filters/tests/test_filters.py::test_hpfilter_pandas PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/filters/tests/test_filters.py::TestFilters::test_convolution PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/filters/tests/test_filters.py::TestFilters::test_convolution2d PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/filters/tests/test_filters.py::TestFilters::test_recursive PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/filters/tests/test_filters.py::TestFilters::test_pandas PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/filters/tests/test_filters.py::TestFilters::test_pandas2d PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/filters/tests/test_filters.py::TestFilters::test_odd_length_filter PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/filters/tests/test_filters.py::test_pandas_freq_decorator PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/innovations/tests/test_arma_innovations.py::test_innovations_algo_filter_kalman_filter[ar_params0-ma_params0-1] PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/innovations/tests/test_arma_innovations.py::test_innovations_algo_filter_kalman_filter[ar_params1-ma_params1-1] PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/innovations/tests/test_arma_innovations.py::test_innovations_algo_filter_kalman_filter[ar_params2-ma_params2-1] PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/innovations/tests/test_arma_innovations.py::test_innovations_algo_filter_kalman_filter[ar_params3-ma_params3-1] PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/innovations/tests/test_arma_innovations.py::test_innovations_algo_filter_kalman_filter[ar_params4-ma_params4-1.123] PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/innovations/tests/test_arma_innovations.py::test_innovations_algo_filter_kalman_filter[ar_params5-ma_params5-1.123] PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/innovations/tests/test_cython_arma_innovations_fast.py::test_brockwell_davis_ex533 PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/innovations/tests/test_cython_arma_innovations_fast.py::test_brockwell_davis_ex534 PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/innovations/tests/test_cython_arma_innovations_fast.py::test_innovations_algo_filter_kalman_filter[ar_params0-ma_params0-1] PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/innovations/tests/test_cython_arma_innovations_fast.py::test_innovations_algo_filter_kalman_filter[ar_params1-ma_params1-1] PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/innovations/tests/test_cython_arma_innovations_fast.py::test_innovations_algo_filter_kalman_filter[ar_params2-ma_params2-1] PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/innovations/tests/test_cython_arma_innovations_fast.py::test_innovations_algo_filter_kalman_filter[ar_params3-ma_params3-1] PASSED [ 44%]
> ../.pybuild/cpython3_3.8_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 [ 44%]
> ../.pybuild/cpython3_3.8_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 [ 44%]
> ../.pybuild/cpython3_3.8_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 [ 44%]
> ../.pybuild/cpython3_3.8_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 [ 44%]
> ../.pybuild/cpython3_3.8_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 [ 44%]
> ../.pybuild/cpython3_3.8_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 [ 44%]
> ../.pybuild/cpython3_3.8_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 [ 44%]
> ../.pybuild/cpython3_3.8_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 [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/innovations/tests/test_cython_arma_innovations_fast.py::test_integrated_process[ar_params0-1-ma_params0-1] PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/innovations/tests/test_cython_arma_innovations_fast.py::test_integrated_process[ar_params1-1-ma_params1-1] PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/innovations/tests/test_cython_arma_innovations_fast.py::test_integrated_process[ar_params2-1-ma_params2-1] PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/innovations/tests/test_cython_arma_innovations_fast.py::test_integrated_process[ar_params3-1-ma_params3-1] PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/innovations/tests/test_cython_arma_innovations_fast.py::test_integrated_process[ar_params4-1-ma_params4-1.123] PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/innovations/tests/test_cython_arma_innovations_fast.py::test_integrated_process[ar_params5-1-ma_params5-1.123] PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/innovations/tests/test_cython_arma_innovations_fast.py::test_integrated_process[ar_params6-2-ma_params6-1.123] PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/innovations/tests/test_cython_arma_innovations_fast.py::test_regression_with_arma_errors[ar_params0-ma_params0-1] PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/innovations/tests/test_cython_arma_innovations_fast.py::test_regression_with_arma_errors[ar_params1-ma_params1-1] PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/innovations/tests/test_cython_arma_innovations_fast.py::test_regression_with_arma_errors[ar_params2-ma_params2-1] PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/innovations/tests/test_cython_arma_innovations_fast.py::test_regression_with_arma_errors[ar_params3-ma_params3-1] PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/innovations/tests/test_cython_arma_innovations_fast.py::test_regression_with_arma_errors[ar_params4-ma_params4-1.123] PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/innovations/tests/test_cython_arma_innovations_fast.py::test_regression_with_arma_errors[ar_params5-ma_params5-1.123] PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/interp/tests/test_denton.py::test_denton_quarterly PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/interp/tests/test_denton.py::test_denton_quarterly2 PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::test_predict PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::test_conditional_loglikelihoods PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR2Short::test_llf PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR2Short::test_fit PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR2Short::test_fit_em PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR2Short::test_filter_output PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR2Short::test_smoother_output PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR4::test_llf PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR4::test_fit PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR4::test_fit_em PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR4::test_filtered_regimes PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR4::test_smoothed_regimes PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR4::test_bse PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR2Switch::test_llf PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR2Switch::test_fit PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR2Switch::test_fit_em PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR2Switch::test_smoothed_marginal_probabilities PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR2Switch::test_predict PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR2Switch::test_bse PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR1Switch::test_llf PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR1Switch::test_fit PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR1Switch::test_fit_em PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR1Switch::test_filtered_regimes PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR1Switch::test_smoothed_regimes PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR1Switch::test_expected_durations PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR1SwitchTVTP::test_llf PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR1SwitchTVTP::test_fit PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR1SwitchTVTP::test_fit_em SKIPPED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR1SwitchTVTP::test_filtered_regimes PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR1SwitchTVTP::test_smoothed_regimes PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR1SwitchTVTP::test_expected_durations PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestFilardo::test_llf PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestFilardo::test_fit SKIPPED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestFilardo::test_fit_em SKIPPED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestFilardo::test_filtered_regimes PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestFilardo::test_smoothed_regimes PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestFilardo::test_expected_durations PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestFilardoPandas::test_llf PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestFilardoPandas::test_fit SKIPPED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestFilardoPandas::test_fit_em SKIPPED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestFilardoPandas::test_filtered_regimes PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestFilardoPandas::test_smoothed_regimes PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestFilardoPandas::test_expected_durations PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConst::test_summary PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConst::test_llf PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConst::test_fit PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConst::test_fit_em PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConst::test_filter_output PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConst::test_smoothed_marginal_probabilities PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConst::test_predict PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConst::test_bse PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConstShort::test_summary PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConstShort::test_llf PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConstShort::test_fit PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConstShort::test_fit_em PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConstShort::test_filter_output PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConstShort::test_smoother_output PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConstShort::test_hamilton_filter_order_zero PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConstShort::test_hamilton_filter_order_zero_with_tvtp PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConstShort::test_hamilton_filter_shape_checks PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConstL1::test_summary PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConstL1::test_llf PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConstL1::test_fit PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConstL1::test_fit_em PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConstL1::test_bse PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConstL1Exog::test_summary PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConstL1Exog::test_llf PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConstL1Exog::test_fit_em PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConstL1Exog::test_fit PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConstL1Exog::test_predict PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConstL1Exog::test_bse PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConstL1Exog3::test_summary PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConstL1Exog3::test_llf PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConstL1Exog3::test_fit_em PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConstL1Exog3::test_fit PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestAreturnsConstL1Variance::test_summary PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestAreturnsConstL1Variance::test_llf PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestAreturnsConstL1Variance::test_fit_em PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestAreturnsConstL1Variance::test_fit PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestAreturnsConstL1Variance::test_bse PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestMumpspcNoconstL1Variance::test_summary PASSED [ 44%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestMumpspcNoconstL1Variance::test_llf PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestMumpspcNoconstL1Variance::test_fit PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestMumpspcNoconstL1Variance::test_fit_em PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::test_avoid_underflow PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::test_exog_tvtp PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_switching.py::test_params PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_switching.py::test_init_endog PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_switching.py::test_init_exog_tvtp PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_switching.py::test_transition_matrix PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_switching.py::test_initial_probabilities PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_switching.py::test_logistic PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_switching.py::test_partials_logistic PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventional::test_using_collapsed PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventional::test_forecasts PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventional::test_forecasts_error PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventional::test_forecasts_error_cov PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventional::test_filtered_state PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventional::test_filtered_state_cov PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventional::test_predicted_state PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventional::test_predicted_state_cov PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventional::test_loglike PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventional::test_smoothed_states PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventional::test_smoothed_states_cov PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventional::test_smoothed_states_autocov PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventional::test_smoothed_measurement_disturbance SKIPPED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventional::test_smoothed_measurement_disturbance_cov SKIPPED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventional::test_smoothed_state_disturbance PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventional::test_smoothed_state_disturbance_cov PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventional::test_simulation_smoothed_state PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventional::test_simulation_smoothed_measurement_disturbance PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventional::test_simulation_smoothed_state_disturbance PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAlternate::test_using_collapsed PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAlternate::test_forecasts PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAlternate::test_forecasts_error PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAlternate::test_forecasts_error_cov PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAlternate::test_filtered_state PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAlternate::test_filtered_state_cov PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAlternate::test_predicted_state PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAlternate::test_predicted_state_cov PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAlternate::test_loglike PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAlternate::test_smoothed_states PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAlternate::test_smoothed_states_cov PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAlternate::test_smoothed_states_autocov PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAlternate::test_smoothed_measurement_disturbance SKIPPED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAlternate::test_smoothed_measurement_disturbance_cov SKIPPED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAlternate::test_smoothed_state_disturbance PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAlternate::test_smoothed_state_disturbance_cov PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAlternate::test_simulation_smoothed_state PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAlternate::test_simulation_smoothed_measurement_disturbance PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAlternate::test_simulation_smoothed_state_disturbance PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAlternate::test_using_alterate PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissing::test_using_collapsed PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissing::test_forecasts PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissing::test_forecasts_error PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissing::test_forecasts_error_cov PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissing::test_filtered_state PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissing::test_filtered_state_cov PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissing::test_predicted_state PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissing::test_predicted_state_cov PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissing::test_loglike PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissing::test_smoothed_states PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissing::test_smoothed_states_cov PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissing::test_smoothed_states_autocov PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissing::test_smoothed_measurement_disturbance SKIPPED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissing::test_smoothed_measurement_disturbance_cov SKIPPED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissing::test_smoothed_state_disturbance PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissing::test_smoothed_state_disturbance_cov PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissing::test_simulation_smoothed_state PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissing::test_simulation_smoothed_measurement_disturbance PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissing::test_simulation_smoothed_state_disturbance PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissingAlternate::test_using_collapsed PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissingAlternate::test_forecasts PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissingAlternate::test_forecasts_error PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissingAlternate::test_forecasts_error_cov PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissingAlternate::test_filtered_state PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissingAlternate::test_filtered_state_cov PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissingAlternate::test_predicted_state PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissingAlternate::test_predicted_state_cov PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissingAlternate::test_loglike PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissingAlternate::test_smoothed_states PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissingAlternate::test_smoothed_states_cov PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissingAlternate::test_smoothed_states_autocov PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissingAlternate::test_smoothed_measurement_disturbance SKIPPED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissingAlternate::test_smoothed_measurement_disturbance_cov SKIPPED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissingAlternate::test_smoothed_state_disturbance PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissingAlternate::test_smoothed_state_disturbance_cov PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissingAlternate::test_simulation_smoothed_state PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissingAlternate::test_simulation_smoothed_measurement_disturbance PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissingAlternate::test_simulation_smoothed_state_disturbance PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissingAlternate::test_using_alterate PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissing::test_using_collapsed PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissing::test_forecasts PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissing::test_forecasts_error PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissing::test_forecasts_error_cov PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissing::test_filtered_state PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissing::test_filtered_state_cov PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissing::test_predicted_state PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissing::test_predicted_state_cov PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissing::test_loglike PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissing::test_smoothed_states PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissing::test_smoothed_states_cov PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissing::test_smoothed_states_autocov PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissing::test_smoothed_measurement_disturbance SKIPPED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissing::test_smoothed_measurement_disturbance_cov SKIPPED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissing::test_smoothed_state_disturbance PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissing::test_smoothed_state_disturbance_cov PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissing::test_simulation_smoothed_state PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissing::test_simulation_smoothed_measurement_disturbance PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissing::test_simulation_smoothed_state_disturbance PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissingAlternate::test_using_collapsed PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissingAlternate::test_forecasts PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissingAlternate::test_forecasts_error PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissingAlternate::test_forecasts_error_cov PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissingAlternate::test_filtered_state PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissingAlternate::test_filtered_state_cov PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissingAlternate::test_predicted_state PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissingAlternate::test_predicted_state_cov PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissingAlternate::test_loglike PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissingAlternate::test_smoothed_states PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissingAlternate::test_smoothed_states_cov PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissingAlternate::test_smoothed_states_autocov PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissingAlternate::test_smoothed_measurement_disturbance SKIPPED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissingAlternate::test_smoothed_measurement_disturbance_cov SKIPPED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissingAlternate::test_smoothed_state_disturbance PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissingAlternate::test_smoothed_state_disturbance_cov PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissingAlternate::test_simulation_smoothed_state PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissingAlternate::test_simulation_smoothed_measurement_disturbance PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissingAlternate::test_simulation_smoothed_state_disturbance PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissingAlternate::test_using_alterate PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariate::test_using_collapsed PASSED [ 45%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariate::test_forecasts PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariate::test_forecasts_error PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariate::test_forecasts_error_cov PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariate::test_filtered_state PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariate::test_filtered_state_cov PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariate::test_predicted_state PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariate::test_predicted_state_cov PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariate::test_loglike PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariate::test_smoothed_states PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariate::test_smoothed_states_cov PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariate::test_smoothed_states_autocov PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariate::test_smoothed_measurement_disturbance SKIPPED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariate::test_smoothed_measurement_disturbance_cov SKIPPED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariate::test_smoothed_state_disturbance PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariate::test_smoothed_state_disturbance_cov PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariate::test_simulation_smoothed_state PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariate::test_simulation_smoothed_measurement_disturbance PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariate::test_simulation_smoothed_state_disturbance PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAlternate::test_using_collapsed PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAlternate::test_forecasts PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAlternate::test_forecasts_error PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAlternate::test_forecasts_error_cov PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAlternate::test_filtered_state PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAlternate::test_filtered_state_cov PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAlternate::test_predicted_state PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAlternate::test_predicted_state_cov PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAlternate::test_loglike PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAlternate::test_smoothed_states PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAlternate::test_smoothed_states_cov PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAlternate::test_smoothed_states_autocov PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAlternate::test_smoothed_measurement_disturbance SKIPPED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAlternate::test_smoothed_measurement_disturbance_cov SKIPPED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAlternate::test_smoothed_state_disturbance PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAlternate::test_smoothed_state_disturbance_cov PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAlternate::test_simulation_smoothed_state PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAlternate::test_simulation_smoothed_measurement_disturbance PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAlternate::test_simulation_smoothed_state_disturbance PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAlternate::test_using_alterate PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissing::test_using_collapsed PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissing::test_forecasts PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissing::test_forecasts_error PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissing::test_forecasts_error_cov PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissing::test_filtered_state PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissing::test_filtered_state_cov PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissing::test_predicted_state PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissing::test_predicted_state_cov PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissing::test_loglike PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissing::test_smoothed_states PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissing::test_smoothed_states_cov PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissing::test_smoothed_states_autocov PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissing::test_smoothed_measurement_disturbance SKIPPED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissing::test_smoothed_measurement_disturbance_cov SKIPPED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissing::test_smoothed_state_disturbance PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissing::test_smoothed_state_disturbance_cov PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissing::test_simulation_smoothed_state PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissing::test_simulation_smoothed_measurement_disturbance PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissing::test_simulation_smoothed_state_disturbance PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissingAlternate::test_using_collapsed PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissingAlternate::test_forecasts PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissingAlternate::test_forecasts_error PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissingAlternate::test_forecasts_error_cov PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissingAlternate::test_filtered_state PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissingAlternate::test_filtered_state_cov PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissingAlternate::test_predicted_state PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissingAlternate::test_predicted_state_cov PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissingAlternate::test_loglike PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissingAlternate::test_smoothed_states PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissingAlternate::test_smoothed_states_cov PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissingAlternate::test_smoothed_states_autocov PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissingAlternate::test_smoothed_measurement_disturbance SKIPPED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissingAlternate::test_smoothed_measurement_disturbance_cov SKIPPED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissingAlternate::test_smoothed_state_disturbance PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissingAlternate::test_smoothed_state_disturbance_cov PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissingAlternate::test_simulation_smoothed_state PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissingAlternate::test_simulation_smoothed_measurement_disturbance PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissingAlternate::test_simulation_smoothed_state_disturbance PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissingAlternate::test_using_alterate PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissing::test_using_collapsed PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissing::test_forecasts PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissing::test_forecasts_error PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissing::test_forecasts_error_cov PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissing::test_filtered_state PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissing::test_filtered_state_cov PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissing::test_predicted_state PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissing::test_predicted_state_cov PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissing::test_loglike PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissing::test_smoothed_states PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissing::test_smoothed_states_cov PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissing::test_smoothed_states_autocov PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissing::test_smoothed_measurement_disturbance SKIPPED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissing::test_smoothed_measurement_disturbance_cov SKIPPED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissing::test_smoothed_state_disturbance PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissing::test_smoothed_state_disturbance_cov PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissing::test_simulation_smoothed_state PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissing::test_simulation_smoothed_measurement_disturbance PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissing::test_simulation_smoothed_state_disturbance PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissingAlternate::test_using_collapsed PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissingAlternate::test_forecasts PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissingAlternate::test_forecasts_error PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissingAlternate::test_forecasts_error_cov PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissingAlternate::test_filtered_state PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissingAlternate::test_filtered_state_cov PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissingAlternate::test_predicted_state PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissingAlternate::test_predicted_state_cov PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissingAlternate::test_loglike PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissingAlternate::test_smoothed_states PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissingAlternate::test_smoothed_states_cov PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissingAlternate::test_smoothed_states_autocov PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissingAlternate::test_smoothed_measurement_disturbance SKIPPED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissingAlternate::test_smoothed_measurement_disturbance_cov SKIPPED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissingAlternate::test_smoothed_state_disturbance PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissingAlternate::test_smoothed_state_disturbance_cov PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissingAlternate::test_simulation_smoothed_state PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissingAlternate::test_simulation_smoothed_measurement_disturbance PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissingAlternate::test_simulation_smoothed_state_disturbance PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissingAlternate::test_using_alterate PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFM::test_using_collapsed PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFM::test_forecasts PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFM::test_forecasts_error PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFM::test_forecasts_error_cov PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFM::test_filtered_state PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFM::test_filtered_state_cov PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFM::test_predicted_state PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFM::test_predicted_state_cov PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFM::test_loglike PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFM::test_smoothed_states PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFM::test_smoothed_states_cov PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFM::test_smoothed_states_autocov PASSED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFM::test_smoothed_measurement_disturbance SKIPPED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFM::test_smoothed_measurement_disturbance_cov SKIPPED [ 46%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFM::test_smoothed_state_disturbance PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFM::test_smoothed_state_disturbance_cov PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFM::test_simulation_smoothed_state PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFM::test_simulation_smoothed_measurement_disturbance SKIPPED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFM::test_simulation_smoothed_state_disturbance PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMClassicalSmoothing::test_using_collapsed PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMClassicalSmoothing::test_forecasts PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMClassicalSmoothing::test_forecasts_error PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMClassicalSmoothing::test_forecasts_error_cov PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMClassicalSmoothing::test_filtered_state PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMClassicalSmoothing::test_filtered_state_cov PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMClassicalSmoothing::test_predicted_state PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMClassicalSmoothing::test_predicted_state_cov PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMClassicalSmoothing::test_loglike PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMClassicalSmoothing::test_smoothed_states PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMClassicalSmoothing::test_smoothed_states_cov PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMClassicalSmoothing::test_smoothed_states_autocov PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMClassicalSmoothing::test_smoothed_measurement_disturbance SKIPPED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMClassicalSmoothing::test_smoothed_measurement_disturbance_cov SKIPPED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMClassicalSmoothing::test_smoothed_state_disturbance PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMClassicalSmoothing::test_smoothed_state_disturbance_cov PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMClassicalSmoothing::test_simulation_smoothed_state PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMClassicalSmoothing::test_simulation_smoothed_measurement_disturbance SKIPPED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMClassicalSmoothing::test_simulation_smoothed_state_disturbance PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMClassicalSmoothing::test_smooth_method PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMUnivariateSmoothing::test_using_collapsed PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMUnivariateSmoothing::test_forecasts PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMUnivariateSmoothing::test_forecasts_error PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMUnivariateSmoothing::test_forecasts_error_cov PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMUnivariateSmoothing::test_filtered_state PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMUnivariateSmoothing::test_filtered_state_cov PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMUnivariateSmoothing::test_predicted_state PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMUnivariateSmoothing::test_predicted_state_cov PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMUnivariateSmoothing::test_loglike PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMUnivariateSmoothing::test_smoothed_states PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMUnivariateSmoothing::test_smoothed_states_cov PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMUnivariateSmoothing::test_smoothed_states_autocov PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMUnivariateSmoothing::test_smoothed_measurement_disturbance SKIPPED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMUnivariateSmoothing::test_smoothed_measurement_disturbance_cov SKIPPED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMUnivariateSmoothing::test_smoothed_state_disturbance PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMUnivariateSmoothing::test_smoothed_state_disturbance_cov PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMUnivariateSmoothing::test_simulation_smoothed_state PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMUnivariateSmoothing::test_simulation_smoothed_measurement_disturbance SKIPPED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMUnivariateSmoothing::test_simulation_smoothed_state_disturbance PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMUnivariateSmoothing::test_smooth_method PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMAlternativeSmoothing::test_using_collapsed PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMAlternativeSmoothing::test_forecasts PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMAlternativeSmoothing::test_forecasts_error PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMAlternativeSmoothing::test_forecasts_error_cov PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMAlternativeSmoothing::test_filtered_state PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMAlternativeSmoothing::test_filtered_state_cov PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMAlternativeSmoothing::test_predicted_state PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMAlternativeSmoothing::test_predicted_state_cov PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMAlternativeSmoothing::test_loglike PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMAlternativeSmoothing::test_smoothed_states PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMAlternativeSmoothing::test_smoothed_states_cov PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMAlternativeSmoothing::test_smoothed_states_autocov PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMAlternativeSmoothing::test_smoothed_measurement_disturbance SKIPPED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMAlternativeSmoothing::test_smoothed_measurement_disturbance_cov SKIPPED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMAlternativeSmoothing::test_smoothed_state_disturbance PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMAlternativeSmoothing::test_smoothed_state_disturbance_cov PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMAlternativeSmoothing::test_simulation_smoothed_state PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMAlternativeSmoothing::test_simulation_smoothed_measurement_disturbance SKIPPED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMAlternativeSmoothing::test_simulation_smoothed_state_disturbance PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMAlternativeSmoothing::test_smooth_method PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMMeasurementDisturbance::test_using_collapsed PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMMeasurementDisturbance::test_forecasts PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMMeasurementDisturbance::test_forecasts_error PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMMeasurementDisturbance::test_forecasts_error_cov PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMMeasurementDisturbance::test_filtered_state PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMMeasurementDisturbance::test_filtered_state_cov PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMMeasurementDisturbance::test_predicted_state PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMMeasurementDisturbance::test_predicted_state_cov PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMMeasurementDisturbance::test_loglike PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMMeasurementDisturbance::test_smoothed_states PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMMeasurementDisturbance::test_smoothed_states_cov PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMMeasurementDisturbance::test_smoothed_states_autocov PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMMeasurementDisturbance::test_smoothed_measurement_disturbance_cov SKIPPED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMMeasurementDisturbance::test_smoothed_state_disturbance_cov PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMMeasurementDisturbance::test_simulation_smoothed_state PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMMeasurementDisturbance::test_smoothed_state_disturbance PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMMeasurementDisturbance::test_smoothed_measurement_disturbance PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMMeasurementDisturbance::test_simulation_smoothed_measurement_disturbance PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMMeasurementDisturbance::test_simulation_smoothed_state_disturbance PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_concentrated.py::test_concentrated_loglike_sarimax PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_concentrated.py::test_concentrated_predict_sarimax PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_concentrated.py::test_fixed_scale_sarimax PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_concentrated.py::test_concentrated_scale_conventional PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_concentrated.py::test_concentrated_scale_univariate PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood[True-True-True-True] PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood[True-True-True-False] PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood[True-True-False-True] PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood[True-True-False-False] PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood[True-False-True-True] PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood[True-False-True-False] PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood[True-False-False-True] PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood[True-False-False-False] PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood[False-True-True-True] PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood[False-True-True-False] PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood[False-True-False-True] PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood[False-True-False-False] PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood[False-False-True-True] PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood[False-False-True-False] PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood[False-False-False-True] PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood[False-False-False-False] PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_extras[True-True-True-True] PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_extras[True-True-True-False] PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_extras[True-True-False-True] PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_extras[True-True-False-False] PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_extras[True-False-True-True] PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_extras[True-False-True-False] PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_extras[True-False-False-True] PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_extras[True-False-False-False] PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_extras[False-True-True-True] PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_extras[False-True-True-False] PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_extras[False-True-False-True] PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_extras[False-True-False-False] PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_extras[False-False-True-True] PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_extras[False-False-True-False] PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_extras[False-False-False-True] PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_extras[False-False-False-False] PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_multivariate[True-True] PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_multivariate[True-False] PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_multivariate[False-True] PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_multivariate[False-False] PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_multivariate_extra[True-True-True] PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_multivariate_extra[True-True-False] PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_multivariate_extra[True-False-True] PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_multivariate_extra[True-False-False] PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_multivariate_extra[False-True-True] PASSED [ 47%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_multivariate_extra[False-True-False] PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_multivariate_extra[False-False-True] PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_multivariate_extra[False-False-False] PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_fit PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_low_memory_filter PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_low_memory_fit PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_fittedvalues_resid_predict[510] PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_fittedvalues_resid_predict[2] PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_get_prediction_memory_conserve PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_invalid_fittedvalues_resid_predict PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor::test_params PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor::test_results PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor::test_plot_coefficients_of_determination PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor::test_no_enforce PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor::test_mle PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor::test_loglike PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor::test_aic PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor::test_bic PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor::test_predict PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor::test_dynamic_predict PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor::test_bse_approx PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor2::test_params PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor2::test_results PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor2::test_plot_coefficients_of_determination PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor2::test_no_enforce PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor2::test_loglike PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor2::test_predict PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor2::test_dynamic_predict PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor2::test_mle PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor2::test_bse PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor2::test_aic PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor2::test_bic PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor2::test_summary PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_exog1::test_params PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_exog1::test_results PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_exog1::test_plot_coefficients_of_determination PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_exog1::test_no_enforce PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_exog1::test_mle PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_exog1::test_loglike PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_exog1::test_aic PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_exog1::test_bic PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_exog1::test_predict PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_exog1::test_dynamic_predict PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_exog1::test_bse_approx PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_exog2::test_params PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_exog2::test_results PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_exog2::test_plot_coefficients_of_determination PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_exog2::test_no_enforce PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_exog2::test_mle PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_exog2::test_loglike PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_exog2::test_aic PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_exog2::test_bic PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_exog2::test_bse_approx PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_exog2::test_predict PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_exog2::test_dynamic_predict PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_exog2::test_summary PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_general_errors::test_params PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_general_errors::test_results PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_general_errors::test_plot_coefficients_of_determination PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_general_errors::test_no_enforce PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_general_errors::test_loglike PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_general_errors::test_aic PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_general_errors::test_bic PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_general_errors::test_predict PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_general_errors::test_dynamic_predict PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_general_errors::test_bse_approx PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_general_errors::test_mle SKIPPED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_general_errors::test_summary PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_ar2_errors::test_params PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_ar2_errors::test_results PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_ar2_errors::test_plot_coefficients_of_determination PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_ar2_errors::test_no_enforce PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_ar2_errors::test_loglike PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_ar2_errors::test_aic PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_ar2_errors::test_bic PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_ar2_errors::test_predict PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_ar2_errors::test_dynamic_predict PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_ar2_errors::test_bse_approx PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_ar2_errors::test_mle PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_scalar_error::test_params PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_scalar_error::test_results PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_scalar_error::test_plot_coefficients_of_determination PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_scalar_error::test_no_enforce PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_scalar_error::test_mle PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_scalar_error::test_loglike PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_scalar_error::test_aic PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_scalar_error::test_bic PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_scalar_error::test_bse_approx PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_scalar_error::test_predict PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_scalar_error::test_dynamic_predict PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestStaticFactor::test_params PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestStaticFactor::test_results PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestStaticFactor::test_plot_coefficients_of_determination PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestStaticFactor::test_no_enforce PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestStaticFactor::test_mle PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestStaticFactor::test_loglike PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestStaticFactor::test_aic PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestStaticFactor::test_predict PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestStaticFactor::test_dynamic_predict PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestStaticFactor::test_bse_approx PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestStaticFactor::test_bic PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestSUR::test_params PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestSUR::test_results PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestSUR::test_plot_coefficients_of_determination PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestSUR::test_no_enforce PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestSUR::test_mle PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestSUR::test_loglike PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestSUR::test_aic PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestSUR::test_bic PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestSUR::test_bse_approx PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestSUR::test_predict PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestSUR::test_dynamic_predict PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestSUR_autocorrelated_errors::test_params PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestSUR_autocorrelated_errors::test_results PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestSUR_autocorrelated_errors::test_plot_coefficients_of_determination PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestSUR_autocorrelated_errors::test_no_enforce PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestSUR_autocorrelated_errors::test_loglike PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestSUR_autocorrelated_errors::test_aic PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestSUR_autocorrelated_errors::test_bic PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestSUR_autocorrelated_errors::test_bse_approx PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestSUR_autocorrelated_errors::test_predict PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestSUR_autocorrelated_errors::test_dynamic_predict PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestSUR_autocorrelated_errors::test_mle PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::test_misspecification PASSED [ 48%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::test_predict_custom_index PASSED [ 48%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::test_forecast_exog PASSED [ 48%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestLocalLevelAnalytic::test_results PASSED [ 49%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_forecasts PASSED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_forecasts_error PASSED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_forecasts_error_cov PASSED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_filtered_state PASSED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_filtered_state_cov PASSED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_predicted_state PASSED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_predicted_state_cov PASSED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_kalman_gain PASSED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_loglike PASSED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_smoothed_state PASSED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_smoothed_state_cov PASSED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_smoothed_state_autocov PASSED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_smoothed_measurement_disturbance PASSED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_smoothed_measurement_disturbance_cov PASSED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_smoothed_state_disturbance PASSED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_smoothed_state_disturbance_cov PASSED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_smoothing_error SKIPPED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_scaled_smoothed_estimator PASSED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_scaled_smoothed_estimator_cov PASSED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_forecasts_error_diffuse_cov PASSED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_predicted_diffuse_state_cov PASSED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_scaled_smoothed_diffuse_estimator PASSED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_scaled_smoothed_diffuse1_estimator_cov PASSED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_scaled_smoothed_diffuse2_estimator_cov PASSED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_simulation_smoothed_state XFAIL [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_simulation_smoothed_measurement_disturbance XFAIL [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_simulation_smoothed_state_disturbance XFAIL [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_initialization_approx PASSED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_nobs_diffuse PASSED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_initialization PASSED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_forecasts PASSED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_forecasts_error PASSED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_forecasts_error_cov PASSED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_filtered_state PASSED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_filtered_state_cov PASSED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_predicted_state PASSED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_predicted_state_cov PASSED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_kalman_gain PASSED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_loglike PASSED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_smoothed_state PASSED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_smoothed_state_cov PASSED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_smoothed_state_autocov PASSED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_smoothed_measurement_disturbance PASSED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_smoothed_measurement_disturbance_cov PASSED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_smoothed_state_disturbance PASSED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_smoothed_state_disturbance_cov PASSED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_smoothing_error SKIPPED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_scaled_smoothed_estimator PASSED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_scaled_smoothed_estimator_cov PASSED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_forecasts_error_diffuse_cov PASSED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_predicted_diffuse_state_cov PASSED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_scaled_smoothed_diffuse_estimator PASSED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_scaled_smoothed_diffuse1_estimator_cov PASSED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_scaled_smoothed_diffuse2_estimator_cov PASSED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_simulation_smoothed_state XFAIL [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_simulation_smoothed_measurement_disturbance XFAIL [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_simulation_smoothed_state_disturbance XFAIL [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_nobs_diffuse PASSED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_initialization PASSED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_forecasts PASSED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_forecasts_error PASSED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_forecasts_error_cov PASSED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_filtered_state PASSED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_filtered_state_cov PASSED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_predicted_state PASSED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_predicted_state_cov PASSED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_kalman_gain PASSED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_loglike PASSED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_smoothed_state PASSED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_smoothed_state_cov PASSED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_smoothed_state_autocov PASSED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_smoothed_measurement_disturbance PASSED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_smoothed_state_disturbance PASSED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_smoothed_state_disturbance_cov PASSED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_smoothing_error SKIPPED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_scaled_smoothed_estimator PASSED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_scaled_smoothed_estimator_cov PASSED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_forecasts_error_diffuse_cov PASSED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_predicted_diffuse_state_cov PASSED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_scaled_smoothed_diffuse_estimator PASSED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_scaled_smoothed_diffuse1_estimator_cov PASSED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_scaled_smoothed_diffuse2_estimator_cov PASSED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_simulation_smoothed_state XFAIL [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_simulation_smoothed_measurement_disturbance XFAIL [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_simulation_smoothed_state_disturbance XFAIL [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_initialization_approx PASSED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_nobs_diffuse PASSED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_initialization PASSED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_smoothed_measurement_disturbance_cov PASSED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_forecasts PASSED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_forecasts_error PASSED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_forecasts_error_cov PASSED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_filtered_state PASSED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_filtered_state_cov PASSED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_predicted_state PASSED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_predicted_state_cov PASSED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_kalman_gain PASSED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_loglike PASSED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_smoothed_state PASSED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_smoothed_state_cov PASSED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_smoothed_state_autocov PASSED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_smoothed_measurement_disturbance PASSED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_smoothed_measurement_disturbance_cov PASSED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_smoothed_state_disturbance PASSED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_smoothed_state_disturbance_cov PASSED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_smoothing_error SKIPPED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_scaled_smoothed_estimator PASSED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_scaled_smoothed_estimator_cov PASSED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_forecasts_error_diffuse_cov PASSED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_predicted_diffuse_state_cov PASSED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_scaled_smoothed_diffuse_estimator PASSED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_scaled_smoothed_diffuse1_estimator_cov PASSED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_scaled_smoothed_diffuse2_estimator_cov PASSED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_simulation_smoothed_state XFAIL [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_simulation_smoothed_measurement_disturbance XFAIL [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_simulation_smoothed_state_disturbance XFAIL [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_nobs_diffuse PASSED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_initialization PASSED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_forecasts PASSED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_forecasts_error PASSED [ 49%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_forecasts_error_cov PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_filtered_state PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_filtered_state_cov PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_predicted_state PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_predicted_state_cov PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_kalman_gain PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_loglike PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_smoothed_state PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_smoothed_state_autocov PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_smoothed_measurement_disturbance PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_smoothed_measurement_disturbance_cov PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_smoothed_state_disturbance PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_smoothed_state_disturbance_cov PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_smoothing_error SKIPPED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_scaled_smoothed_estimator PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_scaled_smoothed_estimator_cov PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_forecasts_error_diffuse_cov PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_predicted_diffuse_state_cov PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_scaled_smoothed_diffuse_estimator PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_scaled_smoothed_diffuse1_estimator_cov PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_scaled_smoothed_diffuse2_estimator_cov PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_simulation_smoothed_state XFAIL [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_simulation_smoothed_measurement_disturbance XFAIL [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_simulation_smoothed_state_disturbance XFAIL [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_initialization_approx PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_initialization PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_nobs_diffuse PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_smoothed_state_cov PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_forecasts PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_forecasts_error PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_filtered_state PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_filtered_state_cov PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_predicted_state PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_predicted_state_cov PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_kalman_gain PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_loglike PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_smoothed_state PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_smoothed_state_cov PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_smoothed_state_autocov PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_smoothed_measurement_disturbance PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_smoothed_measurement_disturbance_cov PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_smoothed_state_disturbance PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_smoothed_state_disturbance_cov PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_smoothing_error SKIPPED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_scaled_smoothed_estimator PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_scaled_smoothed_estimator_cov PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_forecasts_error_diffuse_cov PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_predicted_diffuse_state_cov PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_scaled_smoothed_diffuse_estimator PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_scaled_smoothed_diffuse1_estimator_cov PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_scaled_smoothed_diffuse2_estimator_cov PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_simulation_smoothed_state XFAIL [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_simulation_smoothed_measurement_disturbance XFAIL [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_simulation_smoothed_state_disturbance XFAIL [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_initialization PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_nobs_diffuse PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_forecasts_error_cov PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_forecasts PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_forecasts_error PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_forecasts_error_cov PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_filtered_state PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_filtered_state_cov PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_predicted_state PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_predicted_state_cov PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_kalman_gain PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_loglike PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_smoothed_state PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_smoothed_state_cov PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_smoothed_state_autocov PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_smoothed_measurement_disturbance PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_smoothed_measurement_disturbance_cov PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_smoothed_state_disturbance PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_smoothed_state_disturbance_cov PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_smoothing_error SKIPPED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_scaled_smoothed_estimator PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_scaled_smoothed_estimator_cov PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_forecasts_error_diffuse_cov PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_predicted_diffuse_state_cov PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_scaled_smoothed_diffuse_estimator PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_scaled_smoothed_diffuse1_estimator_cov PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_scaled_smoothed_diffuse2_estimator_cov PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_simulation_smoothed_state XFAIL [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_simulation_smoothed_measurement_disturbance XFAIL [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_simulation_smoothed_state_disturbance XFAIL [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_nobs_diffuse PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_initialization PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_initialization_approx PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_forecasts PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_forecasts_error PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_forecasts_error_cov PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_filtered_state_cov PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_predicted_state_cov PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_kalman_gain PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_loglike PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_smoothed_state_cov PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_smoothed_state_autocov PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_smoothed_measurement_disturbance PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_smoothed_measurement_disturbance_cov PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_smoothed_state_disturbance PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_smoothed_state_disturbance_cov PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_smoothing_error SKIPPED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_scaled_smoothed_estimator PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_scaled_smoothed_estimator_cov PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_forecasts_error_diffuse_cov PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_predicted_diffuse_state_cov PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_scaled_smoothed_diffuse_estimator PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_scaled_smoothed_diffuse1_estimator_cov PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_scaled_smoothed_diffuse2_estimator_cov PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_simulation_smoothed_state XFAIL [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_simulation_smoothed_measurement_disturbance XFAIL [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_simulation_smoothed_state_disturbance XFAIL [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_nobs_diffuse PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_initialization PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_predicted_state PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_filtered_state PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_smoothed_state PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_forecasts PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_forecasts_error PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_forecasts_error_cov PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_filtered_state PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_filtered_state_cov PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_predicted_state PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_predicted_state_cov PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_kalman_gain PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_loglike PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_smoothed_state PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_smoothed_state_cov PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_smoothed_state_autocov PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_smoothed_measurement_disturbance PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_smoothed_measurement_disturbance_cov PASSED [ 50%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_smoothed_state_disturbance PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_smoothed_state_disturbance_cov PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_smoothing_error SKIPPED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_scaled_smoothed_estimator PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_scaled_smoothed_estimator_cov PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_forecasts_error_diffuse_cov PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_predicted_diffuse_state_cov PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_scaled_smoothed_diffuse_estimator PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_scaled_smoothed_diffuse1_estimator_cov PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_scaled_smoothed_diffuse2_estimator_cov PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_simulation_smoothed_state XFAIL [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_simulation_smoothed_measurement_disturbance XFAIL [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_simulation_smoothed_state_disturbance XFAIL [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_initialization_approx PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_nobs_diffuse PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_initialization PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_forecasts PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_forecasts_error PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_forecasts_error_cov PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_filtered_state_cov PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_predicted_state_cov PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_kalman_gain PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_loglike PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_smoothed_state_cov PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_smoothed_state_autocov PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_smoothed_measurement_disturbance PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_smoothed_measurement_disturbance_cov PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_smoothed_state_disturbance PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_smoothed_state_disturbance_cov PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_smoothing_error SKIPPED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_scaled_smoothed_estimator PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_scaled_smoothed_estimator_cov PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_forecasts_error_diffuse_cov PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_predicted_diffuse_state_cov PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_scaled_smoothed_diffuse_estimator PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_scaled_smoothed_diffuse1_estimator_cov PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_scaled_smoothed_diffuse2_estimator_cov PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_simulation_smoothed_state XFAIL [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_simulation_smoothed_measurement_disturbance XFAIL [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_simulation_smoothed_state_disturbance XFAIL [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_nobs_diffuse PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_initialization PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_predicted_state PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_filtered_state PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_smoothed_state PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_forecasts PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_forecasts_error PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_forecasts_error_cov PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_filtered_state PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_filtered_state_cov PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_predicted_state PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_predicted_state_cov PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_kalman_gain PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_loglike PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_smoothed_state PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_smoothed_state_cov PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_smoothed_state_autocov PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_smoothed_measurement_disturbance PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_smoothed_measurement_disturbance_cov PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_smoothed_state_disturbance PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_smoothed_state_disturbance_cov PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_smoothing_error SKIPPED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_scaled_smoothed_estimator PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_scaled_smoothed_estimator_cov PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_forecasts_error_diffuse_cov PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_predicted_diffuse_state_cov PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_scaled_smoothed_diffuse_estimator PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_scaled_smoothed_diffuse1_estimator_cov PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_scaled_smoothed_diffuse2_estimator_cov PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_simulation_smoothed_state XFAIL [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_simulation_smoothed_measurement_disturbance XFAIL [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_simulation_smoothed_state_disturbance XFAIL [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_initialization_approx PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_nobs_diffuse PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_initialization PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::test_irrelevant_state XFAIL [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::test_nondiagonal_obs_cov PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed02::test_fitted PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed02::test_output PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed02::test_forecasts PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed02::test_conf_int PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed02::test_initial_states PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed02::test_states PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed02::test_misc PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed06::test_fitted PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed06::test_output PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed06::test_forecasts PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed06::test_conf_int PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed06::test_initial_states PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed06::test_states PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed06::test_misc PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPEstimated::test_fitted PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPEstimated::test_output PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPEstimated::test_forecasts PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPEstimated::test_conf_int PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPEstimated::test_initial_states PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPEstimated::test_states PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPEstimated::test_misc PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESETSEstimated::test_fitted PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESETSEstimated::test_output PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESETSEstimated::test_forecasts PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESETSEstimated::test_conf_int PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESETSEstimated::test_initial_states PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESETSEstimated::test_states PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESETSEstimated::test_misc PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESETSEstimated::test_mle_estimates PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltFPPFixed::test_fitted PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltFPPFixed::test_output PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltFPPFixed::test_forecasts PASSED [ 51%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltFPPFixed::test_states PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltFPPFixed::test_misc PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltFPPFixed::test_conf_int PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedFPPEstimated::test_fitted PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedFPPEstimated::test_output PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedFPPEstimated::test_forecasts PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedFPPEstimated::test_conf_int PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedFPPEstimated::test_initial_states PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedFPPEstimated::test_states PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedFPPEstimated::test_misc PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedETSEstimated::test_fitted PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedETSEstimated::test_output PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedETSEstimated::test_forecasts PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedETSEstimated::test_conf_int PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedETSEstimated::test_initial_states PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedETSEstimated::test_states PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedETSEstimated::test_misc PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedETSEstimated::test_mle_estimates PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersFPPEstimated::test_fitted PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersFPPEstimated::test_output PASSED [ 51%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersFPPEstimated::test_forecasts PASSED [ 52%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersFPPEstimated::test_conf_int PASSED [ 52%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersFPPEstimated::test_initial_states PASSED [ 52%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersFPPEstimated::test_states PASSED [ 52%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersFPPEstimated::test_misc PASSED [ 52%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersETSEstimated::test_fitted PASSED [ 52%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersETSEstimated::test_output PASSED [ 52%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersETSEstimated::test_forecasts PASSED [ 52%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersETSEstimated::test_conf_int PASSED [ 52%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersETSEstimated::test_initial_states PASSED [ 52%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersETSEstimated::test_states PASSED [ 52%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersETSEstimated::test_misc PASSED [ 52%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersDampedETSEstimated::test_fitted PASSED [ 52%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersDampedETSEstimated::test_output PASSED [ 52%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersDampedETSEstimated::test_forecasts PASSED [ 52%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersDampedETSEstimated::test_conf_int PASSED [ 52%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersDampedETSEstimated::test_initial_states PASSED [ 52%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersDampedETSEstimated::test_states PASSED [ 52%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersDampedETSEstimated::test_misc PASSED [ 52%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersDampedETSEstimated::test_mle_estimates PASSED [ 52%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersNoTrendETSEstimated::test_fitted PASSED [ 52%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersNoTrendETSEstimated::test_output PASSED [ 52%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersNoTrendETSEstimated::test_forecasts PASSED [ 52%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersNoTrendETSEstimated::test_initial_states PASSED [ 52%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersNoTrendETSEstimated::test_states PASSED [ 52%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersNoTrendETSEstimated::test_misc PASSED [ 52%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersNoTrendETSEstimated::test_conf_int PASSED [ 52%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersNoTrendETSEstimated::test_mle_estimates PASSED [ 52%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESKnownInitialization::test_given_params PASSED [ 52%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESKnownInitialization::test_estimated_params PASSED [ 52%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltKnownInitialization::test_given_params PASSED [ 52%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltKnownInitialization::test_estimated_params PASSED [ 52%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedKnownInitialization::test_given_params PASSED [ 52%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedKnownInitialization::test_estimated_params PASSED [ 52%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersKnownInitialization::test_given_params PASSED [ 52%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersKnownInitialization::test_estimated_params PASSED [ 52%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersDampedKnownInitialization::test_given_params PASSED [ 52%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersDampedKnownInitialization::test_estimated_params PASSED [ 52%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersNoTrendKnownInitialization::test_given_params PASSED [ 52%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersNoTrendKnownInitialization::test_estimated_params PASSED [ 52%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESHeuristicInitialization::test_heuristic PASSED [ 52%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltHeuristicInitialization::test_heuristic PASSED [ 52%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedHeuristicInitialization::test_heuristic PASSED [ 52%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersHeuristicInitialization::test_heuristic PASSED [ 52%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersDampedHeuristicInitialization::test_heuristic PASSED [ 52%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersNoTrendHeuristicInitialization::test_heuristic PASSED [ 52%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::test_concentrated_initialization PASSED [ 52%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESConcentratedInitialization::test_given_params PASSED [ 52%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESConcentratedInitialization::test_estimated_params PASSED [ 52%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltConcentratedInitialization::test_given_params PASSED [ 52%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltConcentratedInitialization::test_estimated_params PASSED [ 52%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedConcentratedInitialization::test_given_params PASSED [ 52%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedConcentratedInitialization::test_estimated_params PASSED [ 52%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersConcentratedInitialization::test_given_params PASSED [ 52%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersConcentratedInitialization::test_estimated_params PASSED [ 52%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersDampedConcentratedInitialization::test_given_params PASSED [ 52%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersDampedConcentratedInitialization::test_estimated_params PASSED [ 52%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersNoTrendConcentratedInitialization::test_given_params PASSED [ 52%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersNoTrendConcentratedInitialization::test_estimated_params PASSED [ 52%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestMultiIndex::test_fitted PASSED [ 52%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestMultiIndex::test_output PASSED [ 52%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestMultiIndex::test_forecasts PASSED [ 52%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestMultiIndex::test_initial_states PASSED [ 52%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestMultiIndex::test_states PASSED [ 52%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestMultiIndex::test_misc PASSED [ 52%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestMultiIndex::test_conf_int PASSED [ 52%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::test_invalid PASSED [ 52%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_fixed_params.py::test_fix_params PASSED [ 52%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_models.py::TestLargeStateCovAR1::test_scaled_smoothed_estimator_cov SKIPPED [ 53%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_models.py::TestLargeStateCovAR1::test_smoothed_state_disturbance_cov SKIPPED [ 53%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_models.py::TestLargeStateCovAR1::test_smoothed_measurement_disturbance SKIPPED [ 53%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_models.py::TestLargeStateCovAR1::test_smoothed_measurement_disturbance_cov SKIPPED [ 53%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_trend_ct::test_results PASSED [ 54%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_trend_ct::test_plot_diagnostics PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_trend_ct::test_predict PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_trend_ct::test_init_keys_replicate PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_trend_polynomial::test_loglike PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_trend_polynomial::test_start_params PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_trend_polynomial::test_transform_untransform PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_trend_polynomial::test_results PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_trend_polynomial::test_plot_diagnostics PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_trend_polynomial::test_predict PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_trend_polynomial::test_init_keys_replicate PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_diff::test_loglike PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_diff::test_start_params PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_diff::test_transform_untransform PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_diff::test_results PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_diff::test_plot_diagnostics PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_diff::test_predict PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_diff::test_init_keys_replicate PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_seasonal_diff::test_loglike PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_seasonal_diff::test_start_params PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_seasonal_diff::test_transform_untransform PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_seasonal_diff::test_results PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_seasonal_diff::test_plot_diagnostics PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_seasonal_diff::test_predict PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_seasonal_diff::test_init_keys_replicate PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_diffuse::test_loglike PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_diffuse::test_start_params PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_diffuse::test_transform_untransform PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_diffuse::test_results PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_diffuse::test_plot_diagnostics PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_diffuse::test_predict PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_diffuse::test_init_keys_replicate PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_no_enforce::test_loglike PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_no_enforce::test_start_params PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_no_enforce::test_transform_untransform PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_no_enforce::test_results PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_no_enforce::test_plot_diagnostics PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_no_enforce::test_predict PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_no_enforce::test_init_keys_replicate PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_exogenous::test_loglike PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_exogenous::test_start_params PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_exogenous::test_transform_untransform PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_exogenous::test_results PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_exogenous::test_plot_diagnostics PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_exogenous::test_predict PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_exogenous::test_init_keys_replicate PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_exogenous_in_state::test_start_params PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_exogenous_in_state::test_transform_untransform PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_exogenous_in_state::test_results PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_exogenous_in_state::test_plot_diagnostics PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_exogenous_in_state::test_predict PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_exogenous_in_state::test_init_keys_replicate PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_exogenous_in_state::test_loglike PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_exogenous_in_state::test_regression_coefficient PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma::test_loglike PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma::test_start_params PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma::test_transform_untransform PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma::test_results PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma::test_plot_diagnostics PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma::test_predict PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma::test_init_keys_replicate PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_as_polynomial::test_loglike PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_as_polynomial::test_start_params PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_as_polynomial::test_transform_untransform PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_as_polynomial::test_results PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_as_polynomial::test_plot_diagnostics PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_as_polynomial::test_predict PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_as_polynomial::test_init_keys_replicate PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_trend_c::test_loglike PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_trend_c::test_start_params PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_trend_c::test_transform_untransform PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_trend_c::test_results PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_trend_c::test_plot_diagnostics PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_trend_c::test_predict PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_trend_c::test_init_keys_replicate PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_trend_ct::test_loglike PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_trend_ct::test_start_params PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_trend_ct::test_transform_untransform PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_trend_ct::test_results PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_trend_ct::test_plot_diagnostics PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_trend_ct::test_predict PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_trend_ct::test_init_keys_replicate PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_trend_polynomial::test_loglike PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_trend_polynomial::test_start_params PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_trend_polynomial::test_transform_untransform PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_trend_polynomial::test_results PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_trend_polynomial::test_plot_diagnostics PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_trend_polynomial::test_predict PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_trend_polynomial::test_init_keys_replicate PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_diff::test_loglike PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_diff::test_start_params PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_diff::test_transform_untransform PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_diff::test_results PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_diff::test_plot_diagnostics PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_diff::test_predict PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_diff::test_init_keys_replicate PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_seasonal_diff::test_loglike PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_seasonal_diff::test_start_params PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_seasonal_diff::test_transform_untransform PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_seasonal_diff::test_results PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_seasonal_diff::test_plot_diagnostics PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_seasonal_diff::test_predict PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_seasonal_diff::test_init_keys_replicate PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_diffuse::test_loglike PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_diffuse::test_start_params PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_diffuse::test_transform_untransform PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_diffuse::test_results PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_diffuse::test_plot_diagnostics PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_diffuse::test_predict PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_diffuse::test_init_keys_replicate PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_exogenous::test_loglike PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_exogenous::test_start_params PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_exogenous::test_transform_untransform PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_exogenous::test_results PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_exogenous::test_plot_diagnostics PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_exogenous::test_predict PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_exogenous::test_init_keys_replicate PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma::test_loglike PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma::test_start_params PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma::test_transform_untransform PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma::test_results PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma::test_plot_diagnostics PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma::test_predict PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma::test_init_keys_replicate PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_trend_c::test_loglike PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_trend_c::test_start_params PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_trend_c::test_transform_untransform PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_trend_c::test_results PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_trend_c::test_plot_diagnostics PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_trend_c::test_predict PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_trend_c::test_init_keys_replicate PASSED [ 55%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_trend_ct::test_loglike PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_trend_ct::test_start_params PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_trend_ct::test_transform_untransform PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_trend_ct::test_results PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_trend_ct::test_plot_diagnostics PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_trend_ct::test_predict PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_trend_ct::test_init_keys_replicate PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_trend_polynomial::test_loglike PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_trend_polynomial::test_start_params PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_trend_polynomial::test_transform_untransform PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_trend_polynomial::test_results PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_trend_polynomial::test_plot_diagnostics PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_trend_polynomial::test_predict PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_trend_polynomial::test_init_keys_replicate PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_diff::test_loglike PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_diff::test_start_params PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_diff::test_transform_untransform PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_diff::test_results PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_diff::test_plot_diagnostics PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_diff::test_predict PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_diff::test_init_keys_replicate PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_seasonal_diff::test_loglike PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_seasonal_diff::test_start_params PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_seasonal_diff::test_transform_untransform PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_seasonal_diff::test_results PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_seasonal_diff::test_plot_diagnostics PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_seasonal_diff::test_predict PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_seasonal_diff::test_init_keys_replicate PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_diff_seasonal_diff::test_loglike PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_diff_seasonal_diff::test_start_params PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_diff_seasonal_diff::test_transform_untransform PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_diff_seasonal_diff::test_results PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_diff_seasonal_diff::test_plot_diagnostics PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_diff_seasonal_diff::test_predict PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_diff_seasonal_diff::test_init_keys_replicate PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_diffuse::test_loglike PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_diffuse::test_start_params PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_diffuse::test_transform_untransform PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_diffuse::test_results PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_diffuse::test_plot_diagnostics PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_diffuse::test_predict PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_diffuse::test_init_keys_replicate PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_exogenous::test_loglike PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_exogenous::test_start_params PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_exogenous::test_transform_untransform PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_exogenous::test_results PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_exogenous::test_plot_diagnostics PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_exogenous::test_predict PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_exogenous::test_init_keys_replicate PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar::test_loglike PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar::test_start_params PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar::test_transform_untransform PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar::test_results PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar::test_plot_diagnostics PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar::test_predict PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar::test_init_keys_replicate PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_as_polynomial::test_loglike PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_as_polynomial::test_start_params PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_as_polynomial::test_transform_untransform PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_as_polynomial::test_results PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_as_polynomial::test_plot_diagnostics PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_as_polynomial::test_predict PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_as_polynomial::test_init_keys_replicate PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_trend_c::test_loglike PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_trend_c::test_start_params PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_trend_c::test_transform_untransform PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_trend_c::test_results PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_trend_c::test_plot_diagnostics PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_trend_c::test_predict PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_trend_c::test_init_keys_replicate PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_trend_ct::test_loglike PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_trend_ct::test_start_params PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_trend_ct::test_transform_untransform PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_trend_ct::test_results PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_trend_ct::test_plot_diagnostics PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_trend_ct::test_predict PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_trend_ct::test_init_keys_replicate PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_trend_polynomial::test_loglike PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_trend_polynomial::test_start_params PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_trend_polynomial::test_transform_untransform PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_trend_polynomial::test_results PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_trend_polynomial::test_plot_diagnostics PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_trend_polynomial::test_predict PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_trend_polynomial::test_init_keys_replicate PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_diff::test_loglike PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_diff::test_start_params PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_diff::test_transform_untransform PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_diff::test_results PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_diff::test_plot_diagnostics PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_diff::test_predict PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_diff::test_init_keys_replicate PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_seasonal_diff::test_loglike PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_seasonal_diff::test_start_params PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_seasonal_diff::test_transform_untransform PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_seasonal_diff::test_results PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_seasonal_diff::test_plot_diagnostics PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_seasonal_diff::test_predict PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_seasonal_diff::test_init_keys_replicate PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_diffuse::test_loglike PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_diffuse::test_start_params PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_diffuse::test_transform_untransform PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_diffuse::test_results PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_diffuse::test_plot_diagnostics PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_diffuse::test_predict PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_diffuse::test_init_keys_replicate PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_exogenous::test_loglike PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_exogenous::test_start_params PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_exogenous::test_transform_untransform PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_exogenous::test_results PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_exogenous::test_plot_diagnostics PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_exogenous::test_predict PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_exogenous::test_init_keys_replicate PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma::test_loglike PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma::test_start_params PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma::test_transform_untransform PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma::test_results PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma::test_plot_diagnostics PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma::test_predict PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma::test_init_keys_replicate PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_as_polynomial::test_loglike PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_as_polynomial::test_start_params PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_as_polynomial::test_transform_untransform PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_as_polynomial::test_results PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_as_polynomial::test_plot_diagnostics PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_as_polynomial::test_predict PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_as_polynomial::test_init_keys_replicate PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_trend_c::test_loglike PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_trend_c::test_start_params PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_trend_c::test_transform_untransform PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_trend_c::test_results PASSED [ 56%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_trend_c::test_plot_diagnostics PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_trend_c::test_predict PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_trend_c::test_init_keys_replicate PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_trend_ct::test_loglike PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_trend_ct::test_start_params PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_trend_ct::test_transform_untransform PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_trend_ct::test_results PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_trend_ct::test_plot_diagnostics PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_trend_ct::test_predict PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_trend_ct::test_init_keys_replicate PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_trend_polynomial::test_loglike PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_trend_polynomial::test_start_params PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_trend_polynomial::test_transform_untransform PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_trend_polynomial::test_results PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_trend_polynomial::test_plot_diagnostics PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_trend_polynomial::test_predict PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_trend_polynomial::test_init_keys_replicate PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_diff::test_loglike PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_diff::test_start_params PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_diff::test_transform_untransform PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_diff::test_results PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_diff::test_plot_diagnostics PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_diff::test_predict PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_diff::test_init_keys_replicate PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_seasonal_diff::test_loglike PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_seasonal_diff::test_start_params PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_seasonal_diff::test_transform_untransform PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_seasonal_diff::test_results PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_seasonal_diff::test_plot_diagnostics PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_seasonal_diff::test_predict PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_seasonal_diff::test_init_keys_replicate PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_diffuse::test_loglike PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_diffuse::test_start_params PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_diffuse::test_transform_untransform PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_diffuse::test_results PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_diffuse::test_plot_diagnostics PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_diffuse::test_predict PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_diffuse::test_init_keys_replicate PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_exogenous::test_loglike PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_exogenous::test_start_params PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_exogenous::test_transform_untransform PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_exogenous::test_results PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_exogenous::test_plot_diagnostics PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_exogenous::test_predict PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_exogenous::test_init_keys_replicate PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma::test_loglike PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma::test_start_params PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma::test_transform_untransform PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma::test_results PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma::test_plot_diagnostics PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma::test_predict PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma::test_init_keys_replicate PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_trend_c::test_loglike PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_trend_c::test_start_params PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_trend_c::test_transform_untransform PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_trend_c::test_results PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_trend_c::test_plot_diagnostics PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_trend_c::test_predict PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_trend_c::test_init_keys_replicate PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_trend_ct::test_loglike PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_trend_ct::test_start_params PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_trend_ct::test_transform_untransform PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_trend_ct::test_results PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_trend_ct::test_plot_diagnostics PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_trend_ct::test_predict PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_trend_ct::test_init_keys_replicate PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_trend_polynomial::test_loglike PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_trend_polynomial::test_start_params PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_trend_polynomial::test_transform_untransform PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_trend_polynomial::test_plot_diagnostics PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_trend_polynomial::test_predict PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_trend_polynomial::test_init_keys_replicate PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_trend_polynomial::test_results PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_diff::test_loglike PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_diff::test_start_params PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_diff::test_transform_untransform PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_diff::test_results PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_diff::test_plot_diagnostics PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_diff::test_predict PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_diff::test_init_keys_replicate PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_seasonal_diff::test_loglike PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_seasonal_diff::test_start_params PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_seasonal_diff::test_transform_untransform PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_seasonal_diff::test_results PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_seasonal_diff::test_plot_diagnostics PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_seasonal_diff::test_predict PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_seasonal_diff::test_init_keys_replicate PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_diff_seasonal_diff::test_loglike PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_diff_seasonal_diff::test_start_params PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_diff_seasonal_diff::test_transform_untransform PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_diff_seasonal_diff::test_plot_diagnostics PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_diff_seasonal_diff::test_predict PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_diff_seasonal_diff::test_init_keys_replicate PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_diff_seasonal_diff::test_results PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_diffuse::test_loglike PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_diffuse::test_start_params PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_diffuse::test_transform_untransform PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_diffuse::test_results PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_diffuse::test_plot_diagnostics PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_diffuse::test_predict PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_diffuse::test_init_keys_replicate PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_exogenous::test_loglike PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_exogenous::test_start_params PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_exogenous::test_transform_untransform PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_exogenous::test_results PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_exogenous::test_plot_diagnostics PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_exogenous::test_predict PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_exogenous::test_init_keys_replicate PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_sarimax_exogenous::test_loglike PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_sarimax_exogenous::test_start_params PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_sarimax_exogenous::test_transform_untransform PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_sarimax_exogenous::test_results PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_sarimax_exogenous::test_plot_diagnostics PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_sarimax_exogenous::test_predict PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_sarimax_exogenous::test_init_keys_replicate PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_sarimax_exogenous::test_results_params PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_sarimax_exogenous_not_hamilton::test_loglike PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_sarimax_exogenous_not_hamilton::test_start_params PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_sarimax_exogenous_not_hamilton::test_transform_untransform PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_sarimax_exogenous_not_hamilton::test_results PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_sarimax_exogenous_not_hamilton::test_plot_diagnostics PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_sarimax_exogenous_not_hamilton::test_predict PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_sarimax_exogenous_not_hamilton::test_init_keys_replicate PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_sarimax_exogenous_diffuse::test_loglike PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_sarimax_exogenous_diffuse::test_start_params PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_sarimax_exogenous_diffuse::test_transform_untransform PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_sarimax_exogenous_diffuse::test_results PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_sarimax_exogenous_diffuse::test_plot_diagnostics PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_sarimax_exogenous_diffuse::test_predict PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_sarimax_exogenous_diffuse::test_init_keys_replicate PASSED [ 57%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_exog_trend_polynomial_missing::test_loglike PASSED [ 58%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3AlternateTiming::test_predict_obs PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3AlternateTiming::test_standardized_residuals PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3AlternateTiming::test_predicted_states PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3AlternateTiming::test_predicted_states_cov PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3AlternateTiming::test_filtered_states PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3AlternateTiming::test_smoothed_states PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3AlternateTiming::test_smoothed_states_cov PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3AlternateTiming::test_smoothed_measurement_disturbance PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3AlternateTiming::test_smoothed_measurement_disturbance_cov PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3AlternateTiming::test_smoothed_state_disturbance PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3AlternateTiming::test_smoothed_state_disturbance_cov PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3AlternativeSmoothing::test_predict_obs PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3AlternativeSmoothing::test_standardized_residuals PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3AlternativeSmoothing::test_predicted_states PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3AlternativeSmoothing::test_predicted_states_cov PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3AlternativeSmoothing::test_filtered_states PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3AlternativeSmoothing::test_smoothed_measurement_disturbance PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3AlternativeSmoothing::test_smoothed_measurement_disturbance_cov PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3AlternativeSmoothing::test_smoothed_state_disturbance PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3AlternativeSmoothing::test_smoothed_state_disturbance_cov PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3AlternativeSmoothing::test_smoothed_states PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3AlternativeSmoothing::test_smoothed_states_cov PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3AlternativeSmoothing::test_smooth_method PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3UnivariateSmoothing::test_predict_obs PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3UnivariateSmoothing::test_standardized_residuals PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3UnivariateSmoothing::test_predicted_states PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3UnivariateSmoothing::test_predicted_states_cov PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3UnivariateSmoothing::test_filtered_states PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3UnivariateSmoothing::test_smoothed_states PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3UnivariateSmoothing::test_smoothed_states_cov PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3UnivariateSmoothing::test_smoothed_measurement_disturbance PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3UnivariateSmoothing::test_smoothed_measurement_disturbance_cov PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3UnivariateSmoothing::test_smoothed_state_disturbance PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3UnivariateSmoothing::test_smoothed_state_disturbance_cov PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3UnivariateSmoothing::test_smooth_method PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3::test_predicted_states PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3::test_predicted_states_cov PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3::test_smoothed_states PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3::test_smoothed_states_cov PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3::test_smoothed_measurement_disturbance PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3::test_smoothed_measurement_disturbance_cov PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3::test_smoothed_state_disturbance PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3::test_smoothed_state_disturbance_cov PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3AlternateTiming::test_predicted_states PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3AlternateTiming::test_predicted_states_cov PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3AlternateTiming::test_smoothed_states PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3AlternateTiming::test_smoothed_states_cov PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3AlternateTiming::test_smoothed_measurement_disturbance PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3AlternateTiming::test_smoothed_measurement_disturbance_cov PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3AlternateTiming::test_smoothed_state_disturbance PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3AlternateTiming::test_smoothed_state_disturbance_cov PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3AlternativeSmoothing::test_predicted_states PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3AlternativeSmoothing::test_predicted_states_cov PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3AlternativeSmoothing::test_smoothed_states PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3AlternativeSmoothing::test_smoothed_states_cov PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3AlternativeSmoothing::test_smoothed_measurement_disturbance PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3AlternativeSmoothing::test_smoothed_measurement_disturbance_cov PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3AlternativeSmoothing::test_smoothed_state_disturbance PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3AlternativeSmoothing::test_smoothed_state_disturbance_cov PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3AlternativeSmoothing::test_smooth_method PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3UnivariateSmoothing::test_predicted_states PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3UnivariateSmoothing::test_predicted_states_cov PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3UnivariateSmoothing::test_smoothed_states PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3UnivariateSmoothing::test_smoothed_states_cov PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3UnivariateSmoothing::test_smoothed_measurement_disturbance PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3UnivariateSmoothing::test_smoothed_measurement_disturbance_cov PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3UnivariateSmoothing::test_smoothed_state_disturbance PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3UnivariateSmoothing::test_smoothed_state_disturbance_cov PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3UnivariateSmoothing::test_smooth_method PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissing::test_loglike PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissing::test_scaled_smoothed_estimator PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissing::test_scaled_smoothed_estimator_cov PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissing::test_forecasts PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissing::test_forecasts_error PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissing::test_forecasts_error_cov PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissing::test_predicted_states PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissing::test_predicted_states_cov PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissing::test_smoothed_states PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissing::test_smoothed_states_cov PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissing::test_smoothed_forecasts PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissing::test_smoothed_state_disturbance PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissing::test_smoothed_state_disturbance_cov PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissing::test_smoothed_measurement_disturbance PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissing::test_smoothed_measurement_disturbance_cov PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingClassicalSmoothing::test_loglike PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingClassicalSmoothing::test_scaled_smoothed_estimator PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingClassicalSmoothing::test_scaled_smoothed_estimator_cov PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingClassicalSmoothing::test_forecasts PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingClassicalSmoothing::test_forecasts_error PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingClassicalSmoothing::test_forecasts_error_cov PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingClassicalSmoothing::test_predicted_states PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingClassicalSmoothing::test_predicted_states_cov PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingClassicalSmoothing::test_smoothed_states PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingClassicalSmoothing::test_smoothed_states_cov PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingClassicalSmoothing::test_smoothed_forecasts PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingClassicalSmoothing::test_smoothed_state_disturbance PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingClassicalSmoothing::test_smoothed_state_disturbance_cov PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingClassicalSmoothing::test_smoothed_measurement_disturbance PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingClassicalSmoothing::test_smoothed_measurement_disturbance_cov PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingClassicalSmoothing::test_smooth_method PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingAlternativeSmoothing::test_loglike PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingAlternativeSmoothing::test_scaled_smoothed_estimator PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingAlternativeSmoothing::test_scaled_smoothed_estimator_cov PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingAlternativeSmoothing::test_forecasts PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingAlternativeSmoothing::test_forecasts_error PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingAlternativeSmoothing::test_forecasts_error_cov PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingAlternativeSmoothing::test_predicted_states PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingAlternativeSmoothing::test_predicted_states_cov PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingAlternativeSmoothing::test_smoothed_states PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingAlternativeSmoothing::test_smoothed_states_cov PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingAlternativeSmoothing::test_smoothed_forecasts PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingAlternativeSmoothing::test_smoothed_state_disturbance PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingAlternativeSmoothing::test_smoothed_state_disturbance_cov PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingAlternativeSmoothing::test_smoothed_measurement_disturbance PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingAlternativeSmoothing::test_smoothed_measurement_disturbance_cov PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingAlternativeSmoothing::test_smooth_method PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingUnivariateSmoothing::test_loglike PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingUnivariateSmoothing::test_scaled_smoothed_estimator PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingUnivariateSmoothing::test_scaled_smoothed_estimator_cov PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingUnivariateSmoothing::test_forecasts PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingUnivariateSmoothing::test_forecasts_error PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingUnivariateSmoothing::test_forecasts_error_cov PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingUnivariateSmoothing::test_predicted_states PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingUnivariateSmoothing::test_predicted_states_cov PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingUnivariateSmoothing::test_smoothed_states PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingUnivariateSmoothing::test_smoothed_states_cov PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingUnivariateSmoothing::test_smoothed_forecasts PASSED [ 59%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingUnivariateSmoothing::test_smoothed_state_disturbance PASSED [ 60%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingUnivariateSmoothing::test_smoothed_state_disturbance_cov PASSED [ 60%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingUnivariateSmoothing::test_smoothed_measurement_disturbance PASSED [ 60%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingUnivariateSmoothing::test_smoothed_measurement_disturbance_cov PASSED [ 60%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingUnivariateSmoothing::test_smooth_method PASSED [ 60%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVAR::test_loglike PASSED [ 60%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVAR::test_scaled_smoothed_estimator PASSED [ 60%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVAR::test_scaled_smoothed_estimator_cov PASSED [ 60%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVAR::test_forecasts PASSED [ 60%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVAR::test_forecasts_error PASSED [ 60%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVAR::test_forecasts_error_cov PASSED [ 60%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVAR::test_predicted_states PASSED [ 60%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVAR::test_predicted_states_cov PASSED [ 60%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVAR::test_smoothed_states PASSED [ 60%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVAR::test_smoothed_states_cov PASSED [ 60%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVAR::test_smoothed_forecasts PASSED [ 60%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVAR::test_smoothed_state_disturbance PASSED [ 60%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVAR::test_smoothed_state_disturbance_cov PASSED [ 60%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVAR::test_smoothed_measurement_disturbance PASSED [ 60%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVAR::test_smoothed_measurement_disturbance_cov PASSED [ 60%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARAlternativeSmoothing::test_loglike PASSED [ 60%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARAlternativeSmoothing::test_scaled_smoothed_estimator PASSED [ 60%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARAlternativeSmoothing::test_scaled_smoothed_estimator_cov PASSED [ 60%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARAlternativeSmoothing::test_forecasts PASSED [ 60%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARAlternativeSmoothing::test_forecasts_error PASSED [ 60%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARAlternativeSmoothing::test_forecasts_error_cov PASSED [ 60%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARAlternativeSmoothing::test_predicted_states PASSED [ 60%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARAlternativeSmoothing::test_predicted_states_cov PASSED [ 60%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARAlternativeSmoothing::test_smoothed_states PASSED [ 60%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARAlternativeSmoothing::test_smoothed_states_cov PASSED [ 60%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARAlternativeSmoothing::test_smoothed_forecasts PASSED [ 60%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARAlternativeSmoothing::test_smoothed_state_disturbance PASSED [ 60%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARAlternativeSmoothing::test_smoothed_state_disturbance_cov PASSED [ 60%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARAlternativeSmoothing::test_smoothed_measurement_disturbance PASSED [ 60%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARAlternativeSmoothing::test_smoothed_measurement_disturbance_cov PASSED [ 60%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARAlternativeSmoothing::test_smooth_method PASSED [ 60%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARClassicalSmoothing::test_loglike PASSED [ 60%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARClassicalSmoothing::test_scaled_smoothed_estimator PASSED [ 60%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARClassicalSmoothing::test_scaled_smoothed_estimator_cov PASSED [ 60%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARClassicalSmoothing::test_forecasts PASSED [ 60%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARClassicalSmoothing::test_forecasts_error PASSED [ 60%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARClassicalSmoothing::test_forecasts_error_cov PASSED [ 60%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARClassicalSmoothing::test_predicted_states PASSED [ 60%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARClassicalSmoothing::test_predicted_states_cov PASSED [ 60%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARClassicalSmoothing::test_smoothed_states PASSED [ 60%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARClassicalSmoothing::test_smoothed_states_cov PASSED [ 60%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARClassicalSmoothing::test_smoothed_forecasts PASSED [ 60%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARClassicalSmoothing::test_smoothed_state_disturbance PASSED [ 60%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARClassicalSmoothing::test_smoothed_state_disturbance_cov PASSED [ 60%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARClassicalSmoothing::test_smoothed_measurement_disturbance PASSED [ 60%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARClassicalSmoothing::test_smoothed_measurement_disturbance_cov PASSED [ 60%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARClassicalSmoothing::test_smooth_method PASSED [ 60%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariate::test_loglike PASSED [ 60%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariate::test_scaled_smoothed_estimator PASSED [ 60%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariate::test_scaled_smoothed_estimator_cov PASSED [ 60%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariate::test_forecasts PASSED [ 60%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariate::test_forecasts_error PASSED [ 60%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariate::test_forecasts_error_cov PASSED [ 60%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariate::test_predicted_states PASSED [ 60%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariate::test_predicted_states_cov PASSED [ 60%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariate::test_smoothed_states PASSED [ 60%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariate::test_smoothed_states_cov PASSED [ 60%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariate::test_smoothed_forecasts PASSED [ 60%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariate::test_smoothed_state_disturbance PASSED [ 60%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariate::test_smoothed_state_disturbance_cov PASSED [ 60%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariate::test_smoothed_measurement_disturbance PASSED [ 60%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariate::test_smoothed_measurement_disturbance_cov PASSED [ 60%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariateSmoothing::test_loglike PASSED [ 60%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariateSmoothing::test_scaled_smoothed_estimator PASSED [ 60%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariateSmoothing::test_scaled_smoothed_estimator_cov PASSED [ 60%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariateSmoothing::test_forecasts PASSED [ 60%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariateSmoothing::test_forecasts_error PASSED [ 60%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariateSmoothing::test_forecasts_error_cov PASSED [ 60%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariateSmoothing::test_predicted_states PASSED [ 60%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariateSmoothing::test_predicted_states_cov PASSED [ 60%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariateSmoothing::test_smoothed_states PASSED [ 60%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariateSmoothing::test_smoothed_states_cov PASSED [ 60%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariateSmoothing::test_smoothed_forecasts PASSED [ 60%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariateSmoothing::test_smoothed_state_disturbance PASSED [ 60%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariateSmoothing::test_smoothed_state_disturbance_cov PASSED [ 60%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariateSmoothing::test_smoothed_measurement_disturbance PASSED [ 60%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariateSmoothing::test_smoothed_measurement_disturbance_cov PASSED [ 60%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariateSmoothing::test_filter_method PASSED [ 60%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariateSmoothing::test_smooth_method PASSED [ 60%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestVARAutocovariances::test_smoothed_state_autocov PASSED [ 60%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestVARAutocovariancesAlternativeSmoothing::test_smoothed_state_autocov PASSED [ 60%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestVARAutocovariancesAlternativeSmoothing::test_smooth_method PASSED [ 60%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestVARAutocovariancesClassicalSmoothing::test_smoothed_state_autocov PASSED [ 60%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestVARAutocovariancesClassicalSmoothing::test_smooth_method PASSED [ 60%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestVARAutocovariancesUnivariateSmoothing::test_smoothed_state_autocov PASSED [ 60%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestVARAutocovariancesUnivariateSmoothing::test_filter_method PASSED [ 60%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestVARAutocovariancesUnivariateSmoothing::test_smooth_method PASSED [ 60%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_structural.py::test_irregular PASSED [ 60%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_tools.py::TestConstrainStationaryUnivariate::test_cases PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_tools.py::TestUnconstrainStationaryUnivariate::test_cases PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_tools.py::TestStationaryUnivariate::test_cases PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_tools.py::TestValidateMatrixShape::test_valid_cases PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_tools.py::TestValidateMatrixShape::test_invalid_cases PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_tools.py::TestValidateVectorShape::test_valid_cases PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_tools.py::TestValidateVectorShape::test_invalid_cases PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_tools.py::test_multivariate_acovf PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_tools.py::test_multivariate_pacf PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_tools.py::TestConstrainStationaryMultivariate::test_cases PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_tools.py::TestUnconstrainStationaryMultivariate::test_cases PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_tools.py::TestStationaryMultivariate::test_cases PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_tools.py::test_reorder_matrix_rows PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_tools.py::test_reorder_matrix_cols PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_tools.py::test_reorder_submatrix PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_tools.py::test_reorder_diagonal_submatrix PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_tools.py::test_reorder_vector PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_tools.py::test_copy_missing_matrix_rows PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_tools.py::test_copy_missing_matrix_cols PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_tools.py::test_copy_missing_submatrix PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_tools.py::test_copy_missing_diagonal_submatrix PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_tools.py::test_copy_missing_vector PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_tools.py::test_copy_index_matrix_rows PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_tools.py::test_copy_index_matrix_cols PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_tools.py::test_copy_index_submatrix PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_tools.py::test_copy_index_diagonal_submatrix PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_tools.py::test_copy_index_vector PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989::test_using_univariate PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989::test_forecasts PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989::test_forecasts_error PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989::test_forecasts_error_cov PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989::test_filtered_state PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989::test_filtered_state_cov PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989::test_predicted_state PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989::test_predicted_state_cov PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989::test_loglike PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989::test_smoothed_states PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989::test_smoothed_states_cov PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989::test_smoothed_measurement_disturbance PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989::test_smoothed_measurement_disturbance_cov PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989::test_smoothed_state_disturbance PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989::test_smoothed_state_disturbance_cov PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989::test_simulation_smoothed_state PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989::test_simulation_smoothed_measurement_disturbance PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989::test_simulation_smoothed_state_disturbance PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989Alternate::test_using_univariate PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989Alternate::test_forecasts PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989Alternate::test_forecasts_error PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989Alternate::test_forecasts_error_cov PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989Alternate::test_filtered_state PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989Alternate::test_filtered_state_cov PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989Alternate::test_predicted_state PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989Alternate::test_predicted_state_cov PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989Alternate::test_loglike PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989Alternate::test_smoothed_states PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989Alternate::test_smoothed_states_cov PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989Alternate::test_smoothed_measurement_disturbance PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989Alternate::test_smoothed_measurement_disturbance_cov PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989Alternate::test_smoothed_state_disturbance PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989Alternate::test_smoothed_state_disturbance_cov PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989Alternate::test_simulation_smoothed_state PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989Alternate::test_simulation_smoothed_measurement_disturbance PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989Alternate::test_simulation_smoothed_state_disturbance PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989Alternate::test_using_alterate PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateGeneralObsCov::test_using_univariate PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateGeneralObsCov::test_forecasts PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateGeneralObsCov::test_forecasts_error PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateGeneralObsCov::test_forecasts_error_cov PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateGeneralObsCov::test_filtered_state PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateGeneralObsCov::test_filtered_state_cov PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateGeneralObsCov::test_predicted_state PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateGeneralObsCov::test_predicted_state_cov PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateGeneralObsCov::test_loglike PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateGeneralObsCov::test_smoothed_states PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateGeneralObsCov::test_smoothed_states_cov PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateGeneralObsCov::test_smoothed_measurement_disturbance SKIPPED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateGeneralObsCov::test_smoothed_measurement_disturbance_cov SKIPPED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateGeneralObsCov::test_smoothed_state_disturbance PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateGeneralObsCov::test_smoothed_state_disturbance_cov PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateGeneralObsCov::test_simulation_smoothed_state PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateGeneralObsCov::test_simulation_smoothed_measurement_disturbance SKIPPED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateGeneralObsCov::test_simulation_smoothed_state_disturbance PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateAllMissingGeneralObsCov::test_using_univariate PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateAllMissingGeneralObsCov::test_forecasts PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateAllMissingGeneralObsCov::test_forecasts_error PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateAllMissingGeneralObsCov::test_forecasts_error_cov PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateAllMissingGeneralObsCov::test_filtered_state PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateAllMissingGeneralObsCov::test_filtered_state_cov PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateAllMissingGeneralObsCov::test_predicted_state PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateAllMissingGeneralObsCov::test_predicted_state_cov PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateAllMissingGeneralObsCov::test_loglike PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateAllMissingGeneralObsCov::test_smoothed_states PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateAllMissingGeneralObsCov::test_smoothed_states_cov PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateAllMissingGeneralObsCov::test_smoothed_measurement_disturbance SKIPPED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateAllMissingGeneralObsCov::test_smoothed_measurement_disturbance_cov SKIPPED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateAllMissingGeneralObsCov::test_smoothed_state_disturbance PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateAllMissingGeneralObsCov::test_smoothed_state_disturbance_cov PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateAllMissingGeneralObsCov::test_simulation_smoothed_state PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateAllMissingGeneralObsCov::test_simulation_smoothed_measurement_disturbance SKIPPED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateAllMissingGeneralObsCov::test_simulation_smoothed_state_disturbance PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariatePartialMissingGeneralObsCov::test_using_univariate PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariatePartialMissingGeneralObsCov::test_forecasts_error_cov PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariatePartialMissingGeneralObsCov::test_filtered_state PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariatePartialMissingGeneralObsCov::test_filtered_state_cov PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariatePartialMissingGeneralObsCov::test_predicted_state PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariatePartialMissingGeneralObsCov::test_predicted_state_cov PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariatePartialMissingGeneralObsCov::test_loglike PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariatePartialMissingGeneralObsCov::test_smoothed_states PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariatePartialMissingGeneralObsCov::test_smoothed_states_cov PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariatePartialMissingGeneralObsCov::test_smoothed_measurement_disturbance SKIPPED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariatePartialMissingGeneralObsCov::test_smoothed_measurement_disturbance_cov SKIPPED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariatePartialMissingGeneralObsCov::test_smoothed_state_disturbance PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariatePartialMissingGeneralObsCov::test_smoothed_state_disturbance_cov PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariatePartialMissingGeneralObsCov::test_simulation_smoothed_state PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariatePartialMissingGeneralObsCov::test_simulation_smoothed_measurement_disturbance SKIPPED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariatePartialMissingGeneralObsCov::test_simulation_smoothed_state_disturbance PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariatePartialMissingGeneralObsCov::test_forecasts PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariatePartialMissingGeneralObsCov::test_forecasts_error PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateMixedMissingGeneralObsCov::test_using_univariate PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateMixedMissingGeneralObsCov::test_forecasts_error_cov PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateMixedMissingGeneralObsCov::test_filtered_state PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateMixedMissingGeneralObsCov::test_filtered_state_cov PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateMixedMissingGeneralObsCov::test_predicted_state PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateMixedMissingGeneralObsCov::test_predicted_state_cov PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateMixedMissingGeneralObsCov::test_loglike PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateMixedMissingGeneralObsCov::test_smoothed_states PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateMixedMissingGeneralObsCov::test_smoothed_states_cov PASSED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateMixedMissingGeneralObsCov::test_smoothed_measurement_disturbance SKIPPED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateMixedMissingGeneralObsCov::test_smoothed_measurement_disturbance_cov SKIPPED [ 61%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateMixedMissingGeneralObsCov::test_smoothed_state_disturbance PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateMixedMissingGeneralObsCov::test_smoothed_state_disturbance_cov PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateMixedMissingGeneralObsCov::test_simulation_smoothed_state PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateMixedMissingGeneralObsCov::test_simulation_smoothed_measurement_disturbance SKIPPED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateMixedMissingGeneralObsCov::test_simulation_smoothed_state_disturbance PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateMixedMissingGeneralObsCov::test_forecasts PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateMixedMissingGeneralObsCov::test_forecasts_error PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateVAR::test_forecasts PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateVAR::test_forecasts_error PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateVAR::test_forecasts_error_cov PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateVAR::test_filtered_state PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateVAR::test_filtered_state_cov PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateVAR::test_predicted_state PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateVAR::test_predicted_state_cov PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateVAR::test_loglike PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateVAR::test_smoothed_states PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateVAR::test_smoothed_states_cov PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateVAR::test_smoothed_measurement_disturbance SKIPPED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateVAR::test_smoothed_measurement_disturbance_cov SKIPPED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateVAR::test_smoothed_state_disturbance PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateVAR::test_smoothed_state_disturbance_cov PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateVAR::test_simulation_smoothed_state PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateVAR::test_simulation_smoothed_measurement_disturbance SKIPPED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateVAR::test_simulation_smoothed_state_disturbance PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::test_time_varying_transition PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_var.py::test_var_basic PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_var.py::test_var_c PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_var.py::test_var_ct PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_var.py::test_var_ct_as_exog0 PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_var.py::test_var_ct_as_exog1 PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_var.py::test_var_ctt PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_var.py::test_var_ct_exog PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_var.py::test_var_c_2exog PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR::test_mle PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR::test_params PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR::test_results PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR::test_loglike PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR::test_aic PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR::test_bic PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR::test_standardized_forecasts_error PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR::test_predict PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR::test_dynamic_predict PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR::test_bse_approx PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR::test_bse_oim PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR::test_summary PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_diagonal::test_mle PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_diagonal::test_params PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_diagonal::test_results PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_diagonal::test_loglike PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_diagonal::test_aic PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_diagonal::test_bic PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_diagonal::test_standardized_forecasts_error PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_diagonal::test_predict PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_diagonal::test_dynamic_predict PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_diagonal::test_bse_approx PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_diagonal::test_bse_oim PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_diagonal::test_summary PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_measurement_error::test_params PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_measurement_error::test_results PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_measurement_error::test_loglike PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_measurement_error::test_standardized_forecasts_error PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_measurement_error::test_predict PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_measurement_error::test_dynamic_predict PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_measurement_error::test_mle PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_measurement_error::test_bse_approx PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_measurement_error::test_bse_oim PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_measurement_error::test_aic PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_measurement_error::test_bic PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_measurement_error::test_representation PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_measurement_error::test_summary PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_obs_intercept::test_mle PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_obs_intercept::test_params PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_obs_intercept::test_results PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_obs_intercept::test_loglike PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_obs_intercept::test_standardized_forecasts_error PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_obs_intercept::test_predict PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_obs_intercept::test_dynamic_predict PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_obs_intercept::test_bse_approx PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_obs_intercept::test_bse_oim PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_obs_intercept::test_aic PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_obs_intercept::test_bic PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_exog::test_params PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_exog::test_results PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_exog::test_loglike PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_exog::test_standardized_forecasts_error PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_exog::test_mle PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_exog::test_aic PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_exog::test_bic PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_exog::test_bse_approx PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_exog::test_bse_oim PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_exog::test_predict PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_exog::test_dynamic_predict PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_exog::test_forecast PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_exog::test_summary PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_exog2::test_params PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_exog2::test_results PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_exog2::test_loglike PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_exog2::test_standardized_forecasts_error PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_exog2::test_mle PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_exog2::test_aic PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_exog2::test_bic PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_exog2::test_bse_approx PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_exog2::test_bse_oim PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_exog2::test_predict PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_exog2::test_dynamic_predict PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_exog2::test_forecast PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR2::test_mle PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR2::test_params PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR2::test_results PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR2::test_loglike PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR2::test_aic PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR2::test_bic PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR2::test_standardized_forecasts_error PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR2::test_predict PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR2::test_dynamic_predict PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR2::test_bse_approx PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR2::test_bse_oim PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR2::test_summary PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVARMA::test_params PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVARMA::test_results PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVARMA::test_loglike PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVARMA::test_standardized_forecasts_error PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVARMA::test_mle PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVARMA::test_bse_approx SKIPPED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVARMA::test_bse_oim SKIPPED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVARMA::test_aic PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVARMA::test_bic PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVARMA::test_predict PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVARMA::test_dynamic_predict PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVARMA::test_summary PASSED [ 62%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVMA1::test_params PASSED [ 63%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVMA1::test_results PASSED [ 63%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVMA1::test_loglike PASSED [ 63%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVMA1::test_standardized_forecasts_error PASSED [ 63%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVMA1::test_mle PASSED [ 63%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVMA1::test_bse_approx SKIPPED [ 63%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVMA1::test_bse_oim SKIPPED [ 63%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVMA1::test_aic PASSED [ 63%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVMA1::test_bic PASSED [ 63%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVMA1::test_predict PASSED [ 63%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVMA1::test_dynamic_predict PASSED [ 63%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::test_specifications PASSED [ 63%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::test_misspecifications PASSED [ 63%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::test_misc_exog PASSED [ 63%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::test_predict_custom_index PASSED [ 63%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::test_forecast_exog PASSED [ 63%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::test_recreate_model PASSED [ 63%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::test_append_results PASSED [ 63%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::test_extend_results PASSED [ 63%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::test_apply_results PASSED [ 63%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::test_vma1_exog PASSED [ 63%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_adfuller_lag.py::test_adf_autolag PASSED [ 63%]
> ../.pybuild/cpython3_3.8_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 [ 63%]
> ../.pybuild/cpython3_3.8_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 [ 63%]
> ../.pybuild/cpython3_3.8_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 [ 63%]
> ../.pybuild/cpython3_3.8_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 [ 63%]
> ../.pybuild/cpython3_3.8_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 [ 63%]
> ../.pybuild/cpython3_3.8_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 [ 63%]
> ../.pybuild/cpython3_3.8_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 [ 63%]
> ../.pybuild/cpython3_3.8_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 [ 63%]
> ../.pybuild/cpython3_3.8_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 [ 63%]
> ../.pybuild/cpython3_3.8_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 [ 63%]
> ../.pybuild/cpython3_3.8_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 [ 63%]
> ../.pybuild/cpython3_3.8_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 [ 63%]
> ../.pybuild/cpython3_3.8_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 [ 63%]
> ../.pybuild/cpython3_3.8_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 [ 63%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 63%]
> ../.pybuild/cpython3_3.8_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 [ 63%]
> ../.pybuild/cpython3_3.8_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 [ 63%]
> ../.pybuild/cpython3_3.8_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 [ 63%]
> ../.pybuild/cpython3_3.8_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 [ 63%]
> ../.pybuild/cpython3_3.8_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 [ 63%]
> ../.pybuild/cpython3_3.8_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 [ 63%]
> ../.pybuild/cpython3_3.8_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 [ 63%]
> ../.pybuild/cpython3_3.8_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 [ 63%]
> ../.pybuild/cpython3_3.8_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 [ 63%]
> ../.pybuild/cpython3_3.8_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 [ 63%]
> ../.pybuild/cpython3_3.8_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 [ 63%]
> ../.pybuild/cpython3_3.8_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 [ 63%]
> ../.pybuild/cpython3_3.8_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 [ 63%]
> ../.pybuild/cpython3_3.8_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 [ 63%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 63%]
> ../.pybuild/cpython3_3.8_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 [ 63%]
> ../.pybuild/cpython3_3.8_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 [ 63%]
> ../.pybuild/cpython3_3.8_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 [ 63%]
> ../.pybuild/cpython3_3.8_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 [ 63%]
> ../.pybuild/cpython3_3.8_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 [ 63%]
> ../.pybuild/cpython3_3.8_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 [ 63%]
> ../.pybuild/cpython3_3.8_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 [ 63%]
> ../.pybuild/cpython3_3.8_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 [ 63%]
> ../.pybuild/cpython3_3.8_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 [ 63%]
> ../.pybuild/cpython3_3.8_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 [ 63%]
> ../.pybuild/cpython3_3.8_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 [ 63%]
> ../.pybuild/cpython3_3.8_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 [ 63%]
> ../.pybuild/cpython3_3.8_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 [ 63%]
> ../.pybuild/cpython3_3.8_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 [ 63%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 63%]
> ../.pybuild/cpython3_3.8_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 [ 63%]
> ../.pybuild/cpython3_3.8_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 [ 63%]
> ../.pybuild/cpython3_3.8_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 [ 63%]
> ../.pybuild/cpython3_3.8_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 [ 63%]
> ../.pybuild/cpython3_3.8_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 [ 63%]
> ../.pybuild/cpython3_3.8_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 [ 63%]
> ../.pybuild/cpython3_3.8_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 [ 63%]
> ../.pybuild/cpython3_3.8_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 [ 63%]
> ../.pybuild/cpython3_3.8_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 [ 63%]
> ../.pybuild/cpython3_3.8_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 [ 63%]
> ../.pybuild/cpython3_3.8_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 [ 63%]
> ../.pybuild/cpython3_3.8_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 [ 63%]
> ../.pybuild/cpython3_3.8_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 [ 63%]
> ../.pybuild/cpython3_3.8_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 [ 63%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 63%]
> ../.pybuild/cpython3_3.8_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 [ 63%]
> ../.pybuild/cpython3_3.8_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 [ 63%]
> ../.pybuild/cpython3_3.8_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 [ 63%]
> ../.pybuild/cpython3_3.8_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 [ 63%]
> ../.pybuild/cpython3_3.8_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 [ 63%]
> ../.pybuild/cpython3_3.8_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 [ 63%]
> ../.pybuild/cpython3_3.8_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 [ 63%]
> ../.pybuild/cpython3_3.8_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 [ 63%]
> ../.pybuild/cpython3_3.8_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 [ 63%]
> ../.pybuild/cpython3_3.8_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 [ 63%]
> ../.pybuild/cpython3_3.8_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 [ 63%]
> ../.pybuild/cpython3_3.8_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 [ 63%]
> ../.pybuild/cpython3_3.8_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 [ 63%]
> ../.pybuild/cpython3_3.8_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 [ 63%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 63%]
> ../.pybuild/cpython3_3.8_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 [ 63%]
> ../.pybuild/cpython3_3.8_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 [ 63%]
> ../.pybuild/cpython3_3.8_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 [ 63%]
> ../.pybuild/cpython3_3.8_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 [ 63%]
> ../.pybuild/cpython3_3.8_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 [ 63%]
> ../.pybuild/cpython3_3.8_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 [ 63%]
> ../.pybuild/cpython3_3.8_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 [ 63%]
> ../.pybuild/cpython3_3.8_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 [ 63%]
> ../.pybuild/cpython3_3.8_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 [ 63%]
> ../.pybuild/cpython3_3.8_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 [ 63%]
> ../.pybuild/cpython3_3.8_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 [ 63%]
> ../.pybuild/cpython3_3.8_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 [ 63%]
> ../.pybuild/cpython3_3.8_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 [ 63%]
> ../.pybuild/cpython3_3.8_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 [ 63%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 63%]
> ../.pybuild/cpython3_3.8_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 [ 63%]
> ../.pybuild/cpython3_3.8_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 [ 63%]
> ../.pybuild/cpython3_3.8_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 [ 63%]
> ../.pybuild/cpython3_3.8_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 [ 63%]
> ../.pybuild/cpython3_3.8_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 [ 63%]
> ../.pybuild/cpython3_3.8_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 [ 63%]
> ../.pybuild/cpython3_3.8_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 [ 63%]
> ../.pybuild/cpython3_3.8_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 [ 63%]
> ../.pybuild/cpython3_3.8_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 [ 63%]
> ../.pybuild/cpython3_3.8_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 [ 63%]
> ../.pybuild/cpython3_3.8_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 [ 63%]
> ../.pybuild/cpython3_3.8_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 [ 63%]
> ../.pybuild/cpython3_3.8_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 [ 63%]
> ../.pybuild/cpython3_3.8_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 [ 63%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 63%]
> ../.pybuild/cpython3_3.8_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 [ 63%]
> ../.pybuild/cpython3_3.8_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 [ 63%]
> ../.pybuild/cpython3_3.8_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 [ 63%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 64%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 65%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 66%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 67%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 68%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 69%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 70%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 71%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 72%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 73%]
> ../.pybuild/cpython3_3.8_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 [ 74%]
> ../.pybuild/cpython3_3.8_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 [ 74%]
> ../.pybuild/cpython3_3.8_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 [ 74%]
> ../.pybuild/cpython3_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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 [ 75%]
> ../.pybuild/cpython3_3.8_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 [ 75%]
> ../.pybuild/cpython3_3.8_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 [ 75%]
> ../.pybuild/cpython3_3.8_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 [ 75%]
> ../.pybuild/cpython3_3.8_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 [ 75%]
> ../.pybuild/cpython3_3.8_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 [ 75%]
> ../.pybuild/cpython3_3.8_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 [ 75%]
> ../.pybuild/cpython3_3.8_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 [ 75%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 75%]
> ../.pybuild/cpython3_3.8_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 [ 75%]
> ../.pybuild/cpython3_3.8_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 [ 75%]
> ../.pybuild/cpython3_3.8_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 [ 75%]
> ../.pybuild/cpython3_3.8_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 [ 75%]
> ../.pybuild/cpython3_3.8_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 [ 75%]
> ../.pybuild/cpython3_3.8_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 [ 75%]
> ../.pybuild/cpython3_3.8_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 [ 75%]
> ../.pybuild/cpython3_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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 [ 76%]
> ../.pybuild/cpython3_3.8_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 [ 76%]
> ../.pybuild/cpython3_3.8_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 [ 76%]
> ../.pybuild/cpython3_3.8_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 [ 76%]
> ../.pybuild/cpython3_3.8_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 [ 76%]
> ../.pybuild/cpython3_3.8_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 [ 76%]
> ../.pybuild/cpython3_3.8_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 [ 76%]
> ../.pybuild/cpython3_3.8_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 [ 76%]
> ../.pybuild/cpython3_3.8_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 [ 76%]
> ../.pybuild/cpython3_3.8_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 [ 76%]
> ../.pybuild/cpython3_3.8_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 [ 76%]
> ../.pybuild/cpython3_3.8_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 [ 76%]
> ../.pybuild/cpython3_3.8_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 [ 76%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 76%]
> ../.pybuild/cpython3_3.8_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 [ 76%]
> ../.pybuild/cpython3_3.8_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 [ 76%]
> ../.pybuild/cpython3_3.8_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 [ 76%]
> ../.pybuild/cpython3_3.8_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 [ 76%]
> ../.pybuild/cpython3_3.8_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 [ 76%]
> ../.pybuild/cpython3_3.8_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 [ 76%]
> ../.pybuild/cpython3_3.8_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 [ 76%]
> ../.pybuild/cpython3_3.8_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 [ 76%]
> ../.pybuild/cpython3_3.8_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 [ 76%]
> ../.pybuild/cpython3_3.8_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 [ 76%]
> ../.pybuild/cpython3_3.8_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 [ 76%]
> ../.pybuild/cpython3_3.8_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 [ 76%]
> ../.pybuild/cpython3_3.8_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 [ 76%]
> ../.pybuild/cpython3_3.8_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 [ 76%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 76%]
> ../.pybuild/cpython3_3.8_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 [ 76%]
> ../.pybuild/cpython3_3.8_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 [ 76%]
> ../.pybuild/cpython3_3.8_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 [ 76%]
> ../.pybuild/cpython3_3.8_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 [ 76%]
> ../.pybuild/cpython3_3.8_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 [ 76%]
> ../.pybuild/cpython3_3.8_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 [ 76%]
> ../.pybuild/cpython3_3.8_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 [ 76%]
> ../.pybuild/cpython3_3.8_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 [ 76%]
> ../.pybuild/cpython3_3.8_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 [ 76%]
> ../.pybuild/cpython3_3.8_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 [ 76%]
> ../.pybuild/cpython3_3.8_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 [ 76%]
> ../.pybuild/cpython3_3.8_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 [ 76%]
> ../.pybuild/cpython3_3.8_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 [ 76%]
> ../.pybuild/cpython3_3.8_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 [ 76%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 76%]
> ../.pybuild/cpython3_3.8_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 [ 76%]
> ../.pybuild/cpython3_3.8_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 [ 76%]
> ../.pybuild/cpython3_3.8_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 [ 76%]
> ../.pybuild/cpython3_3.8_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 [ 76%]
> ../.pybuild/cpython3_3.8_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 [ 76%]
> ../.pybuild/cpython3_3.8_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 [ 76%]
> ../.pybuild/cpython3_3.8_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 [ 76%]
> ../.pybuild/cpython3_3.8_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 [ 76%]
> ../.pybuild/cpython3_3.8_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 [ 76%]
> ../.pybuild/cpython3_3.8_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 [ 76%]
> ../.pybuild/cpython3_3.8_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 [ 76%]
> ../.pybuild/cpython3_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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_3.8_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 [ 77%]
> ../.pybuild/cpython3_3.8_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 [ 77%]
> ../.pybuild/cpython3_3.8_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 [ 77%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 77%]
> ../.pybuild/cpython3_3.8_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 [ 77%]
> ../.pybuild/cpython3_3.8_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 [ 77%]
> ../.pybuild/cpython3_3.8_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 [ 77%]
> ../.pybuild/cpython3_3.8_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 [ 77%]
> ../.pybuild/cpython3_3.8_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 [ 77%]
> ../.pybuild/cpython3_3.8_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 [ 77%]
> ../.pybuild/cpython3_3.8_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 [ 77%]
> ../.pybuild/cpython3_3.8_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 [ 77%]
> ../.pybuild/cpython3_3.8_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 [ 77%]
> ../.pybuild/cpython3_3.8_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 [ 77%]
> ../.pybuild/cpython3_3.8_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 [ 77%]
> ../.pybuild/cpython3_3.8_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 [ 77%]
> ../.pybuild/cpython3_3.8_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 [ 77%]
> ../.pybuild/cpython3_3.8_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 [ 77%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 77%]
> ../.pybuild/cpython3_3.8_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 [ 77%]
> ../.pybuild/cpython3_3.8_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 [ 77%]
> ../.pybuild/cpython3_3.8_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 [ 77%]
> ../.pybuild/cpython3_3.8_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 [ 77%]
> ../.pybuild/cpython3_3.8_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 [ 77%]
> ../.pybuild/cpython3_3.8_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 [ 77%]
> ../.pybuild/cpython3_3.8_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 [ 77%]
> ../.pybuild/cpython3_3.8_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 [ 77%]
> ../.pybuild/cpython3_3.8_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 [ 77%]
> ../.pybuild/cpython3_3.8_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 [ 77%]
> ../.pybuild/cpython3_3.8_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 [ 77%]
> ../.pybuild/cpython3_3.8_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 [ 77%]
> ../.pybuild/cpython3_3.8_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 [ 77%]
> ../.pybuild/cpython3_3.8_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 [ 77%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 77%]
> ../.pybuild/cpython3_3.8_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 [ 77%]
> ../.pybuild/cpython3_3.8_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 [ 77%]
> ../.pybuild/cpython3_3.8_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 [ 77%]
> ../.pybuild/cpython3_3.8_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 [ 77%]
> ../.pybuild/cpython3_3.8_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 [ 77%]
> ../.pybuild/cpython3_3.8_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 [ 77%]
> ../.pybuild/cpython3_3.8_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 [ 77%]
> ../.pybuild/cpython3_3.8_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 [ 77%]
> ../.pybuild/cpython3_3.8_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 [ 77%]
> ../.pybuild/cpython3_3.8_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 [ 77%]
> ../.pybuild/cpython3_3.8_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 [ 77%]
> ../.pybuild/cpython3_3.8_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 [ 77%]
> ../.pybuild/cpython3_3.8_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 [ 77%]
> ../.pybuild/cpython3_3.8_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 [ 77%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 77%]
> ../.pybuild/cpython3_3.8_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 [ 77%]
> ../.pybuild/cpython3_3.8_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 [ 77%]
> ../.pybuild/cpython3_3.8_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 [ 77%]
> ../.pybuild/cpython3_3.8_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 [ 77%]
> ../.pybuild/cpython3_3.8_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 [ 77%]
> ../.pybuild/cpython3_3.8_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 [ 77%]
> ../.pybuild/cpython3_3.8_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 [ 77%]
> ../.pybuild/cpython3_3.8_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 [ 77%]
> ../.pybuild/cpython3_3.8_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 [ 77%]
> ../.pybuild/cpython3_3.8_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 [ 77%]
> ../.pybuild/cpython3_3.8_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 [ 77%]
> ../.pybuild/cpython3_3.8_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 [ 77%]
> ../.pybuild/cpython3_3.8_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 [ 77%]
> ../.pybuild/cpython3_3.8_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 [ 77%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 77%]
> ../.pybuild/cpython3_3.8_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 [ 77%]
> ../.pybuild/cpython3_3.8_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 [ 77%]
> ../.pybuild/cpython3_3.8_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 [ 77%]
> ../.pybuild/cpython3_3.8_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 [ 77%]
> ../.pybuild/cpython3_3.8_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 [ 77%]
> ../.pybuild/cpython3_3.8_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 [ 77%]
> ../.pybuild/cpython3_3.8_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 [ 77%]
> ../.pybuild/cpython3_3.8_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 [ 77%]
> ../.pybuild/cpython3_3.8_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 [ 77%]
> ../.pybuild/cpython3_3.8_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 [ 77%]
> ../.pybuild/cpython3_3.8_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 [ 77%]
> ../.pybuild/cpython3_3.8_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 [ 77%]
> ../.pybuild/cpython3_3.8_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 [ 77%]
> ../.pybuild/cpython3_3.8_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 [ 77%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 77%]
> ../.pybuild/cpython3_3.8_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 [ 77%]
> ../.pybuild/cpython3_3.8_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 [ 77%]
> ../.pybuild/cpython3_3.8_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 [ 77%]
> ../.pybuild/cpython3_3.8_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 [ 77%]
> ../.pybuild/cpython3_3.8_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 [ 77%]
> ../.pybuild/cpython3_3.8_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 [ 77%]
> ../.pybuild/cpython3_3.8_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 [ 77%]
> ../.pybuild/cpython3_3.8_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 [ 77%]
> ../.pybuild/cpython3_3.8_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 [ 77%]
> ../.pybuild/cpython3_3.8_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 [ 77%]
> ../.pybuild/cpython3_3.8_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 [ 77%]
> ../.pybuild/cpython3_3.8_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 [ 77%]
> ../.pybuild/cpython3_3.8_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 [ 77%]
> ../.pybuild/cpython3_3.8_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 [ 77%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 77%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::TestAROLSConstant::test_params PASSED [ 77%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::TestAROLSConstant::test_bse PASSED [ 77%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::TestAROLSConstant::test_llf PASSED [ 77%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::TestAROLSConstant::test_fpe PASSED [ 77%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::TestAROLSConstant::test_pickle PASSED [ 77%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::TestAROLSConstant::test_summary PASSED [ 77%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::TestAROLSConstant::test_pvalues PASSED [ 77%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::TestAROLSConstant::test_predict PASSED [ 77%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::TestAROLSNoConstant::test_params PASSED [ 77%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::TestAROLSNoConstant::test_bse PASSED [ 77%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::TestAROLSNoConstant::test_llf PASSED [ 77%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::TestAROLSNoConstant::test_fpe PASSED [ 77%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::TestAROLSNoConstant::test_pickle PASSED [ 77%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::TestAROLSNoConstant::test_summary PASSED [ 77%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::TestAROLSNoConstant::test_pvalues PASSED [ 77%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::TestAROLSNoConstant::test_predict PASSED [ 77%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::TestAROLSNoConstant::test_mle PASSED [ 77%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::TestARMLEConstant::test_predict PASSED [ 77%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::TestARMLEConstant::test_dynamic_predict PASSED [ 77%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::TestAutolagAR::test_ic PASSED [ 77%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_ar_dates PASSED [ 77%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_ar_named_series PASSED [ 77%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_ar_start_params PASSED [ 77%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_ar_series PASSED [ 77%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_ar_select_order PASSED [ 77%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_ar_select_order_tstat PASSED [ 77%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_constant_column_trend PASSED [ 77%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_summary_corner PASSED [ 77%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_at_repeated_fit PASSED [ 77%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_ar_errors PASSED [ 77%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_ar_score PASSED [ 77%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_bestlag_stop PASSED [ 77%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_roots PASSED [ 77%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_resids_mle PASSED [ 77%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_ar_repeated_fit PASSED [ 77%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_ar_predict_no_fit PASSED [ 77%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 78%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 79%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 80%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 81%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 82%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 83%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 84%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 85%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 86%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 87%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 88%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 89%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 90%]
> ../.pybuild/cpython3_3.8_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 [ 91%]
> ../.pybuild/cpython3_3.8_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 [ 91%]
> ../.pybuild/cpython3_3.8_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 [ 91%]
> ../.pybuild/cpython3_3.8_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 [ 91%]
> ../.pybuild/cpython3_3.8_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 [ 91%]
> ../.pybuild/cpython3_3.8_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 [ 91%]
> ../.pybuild/cpython3_3.8_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 [ 91%]
> ../.pybuild/cpython3_3.8_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 [ 91%]
> ../.pybuild/cpython3_3.8_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 [ 91%]
> ../.pybuild/cpython3_3.8_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 [ 91%]
> ../.pybuild/cpython3_3.8_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 [ 91%]
> ../.pybuild/cpython3_3.8_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 [ 91%]
> ../.pybuild/cpython3_3.8_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 [ 91%]
> ../.pybuild/cpython3_3.8_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 [ 91%]
> ../.pybuild/cpython3_3.8_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 [ 91%]
> ../.pybuild/cpython3_3.8_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 [ 91%]
> ../.pybuild/cpython3_3.8_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 [ 91%]
> ../.pybuild/cpython3_3.8_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 [ 91%]
> ../.pybuild/cpython3_3.8_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 [ 91%]
> ../.pybuild/cpython3_3.8_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 [ 91%]
> ../.pybuild/cpython3_3.8_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 [ 91%]
> ../.pybuild/cpython3_3.8_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 [ 91%]
> ../.pybuild/cpython3_3.8_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 [ 91%]
> ../.pybuild/cpython3_3.8_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 [ 91%]
> ../.pybuild/cpython3_3.8_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 [ 91%]
> ../.pybuild/cpython3_3.8_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 [ 91%]
> ../.pybuild/cpython3_3.8_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 [ 91%]
> ../.pybuild/cpython3_3.8_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 [ 91%]
> ../.pybuild/cpython3_3.8_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 [ 91%]
> ../.pybuild/cpython3_3.8_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 [ 91%]
> ../.pybuild/cpython3_3.8_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 [ 91%]
> ../.pybuild/cpython3_3.8_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 [ 91%]
> ../.pybuild/cpython3_3.8_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 [ 91%]
> ../.pybuild/cpython3_3.8_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 [ 91%]
> ../.pybuild/cpython3_3.8_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 [ 91%]
> ../.pybuild/cpython3_3.8_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 [ 91%]
> ../.pybuild/cpython3_3.8_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 [ 91%]
> ../.pybuild/cpython3_3.8_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 [ 91%]
> ../.pybuild/cpython3_3.8_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 [ 91%]
> ../.pybuild/cpython3_3.8_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 [ 91%]
> ../.pybuild/cpython3_3.8_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 [ 91%]
> ../.pybuild/cpython3_3.8_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 [ 91%]
> ../.pybuild/cpython3_3.8_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 [ 91%]
> ../.pybuild/cpython3_3.8_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 [ 91%]
> ../.pybuild/cpython3_3.8_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 [ 91%]
> ../.pybuild/cpython3_3.8_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 [ 91%]
> ../.pybuild/cpython3_3.8_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 [ 91%]
> ../.pybuild/cpython3_3.8_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 [ 91%]
> ../.pybuild/cpython3_3.8_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 [ 91%]
> ../.pybuild/cpython3_3.8_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 [ 91%]
> ../.pybuild/cpython3_3.8_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 [ 91%]
> ../.pybuild/cpython3_3.8_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 [ 91%]
> ../.pybuild/cpython3_3.8_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 [ 91%]
> ../.pybuild/cpython3_3.8_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 [ 91%]
> ../.pybuild/cpython3_3.8_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 [ 91%]
> ../.pybuild/cpython3_3.8_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 [ 91%]
> ../.pybuild/cpython3_3.8_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 [ 91%]
> ../.pybuild/cpython3_3.8_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 [ 91%]
> ../.pybuild/cpython3_3.8_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 [ 91%]
> ../.pybuild/cpython3_3.8_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 [ 91%]
> ../.pybuild/cpython3_3.8_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 [ 91%]
> ../.pybuild/cpython3_3.8_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 [ 91%]
> ../.pybuild/cpython3_3.8_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 [ 91%]
> ../.pybuild/cpython3_3.8_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 [ 91%]
> ../.pybuild/cpython3_3.8_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 [ 91%]
> ../.pybuild/cpython3_3.8_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 [ 91%]
> ../.pybuild/cpython3_3.8_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 [ 91%]
> ../.pybuild/cpython3_3.8_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 [ 91%]
> ../.pybuild/cpython3_3.8_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 [ 91%]
> ../.pybuild/cpython3_3.8_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 [ 91%]
> ../.pybuild/cpython3_3.8_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 [ 91%]
> ../.pybuild/cpython3_3.8_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 [ 91%]
> ../.pybuild/cpython3_3.8_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 [ 91%]
> ../.pybuild/cpython3_3.8_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 [ 91%]
> ../.pybuild/cpython3_3.8_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 [ 91%]
> ../.pybuild/cpython3_3.8_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 [ 91%]
> ../.pybuild/cpython3_3.8_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 [ 91%]
> ../.pybuild/cpython3_3.8_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 [ 91%]
> ../.pybuild/cpython3_3.8_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 [ 91%]
> ../.pybuild/cpython3_3.8_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 [ 91%]
> ../.pybuild/cpython3_3.8_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 [ 91%]
> ../.pybuild/cpython3_3.8_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 [ 91%]
> ../.pybuild/cpython3_3.8_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 [ 91%]
> ../.pybuild/cpython3_3.8_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 [ 91%]
> ../.pybuild/cpython3_3.8_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 [ 91%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_parameterless_autoreg PASSED [ 91%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_predict_errors PASSED [ 91%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_spec_errors PASSED [ 91%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_ar_select_order_smoke PASSED [ 91%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::TestAutoRegOLSConstant::test_params PASSED [ 91%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::TestAutoRegOLSConstant::test_llf PASSED [ 91%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::TestAutoRegOLSConstant::test_fpe PASSED [ 91%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::TestAutoRegOLSConstant::test_pickle PASSED [ 91%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::TestAutoRegOLSConstant::test_summary PASSED [ 91%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::TestAutoRegOLSConstant::test_pvalues PASSED [ 91%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::TestAutoRegOLSConstant::test_bse PASSED [ 91%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::TestAutoRegOLSConstant::test_predict PASSED [ 91%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::TestAutoRegOLSNoConstant::test_params PASSED [ 91%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::TestAutoRegOLSNoConstant::test_llf PASSED [ 91%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::TestAutoRegOLSNoConstant::test_fpe PASSED [ 91%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::TestAutoRegOLSNoConstant::test_pickle PASSED [ 91%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::TestAutoRegOLSNoConstant::test_summary PASSED [ 91%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::TestAutoRegOLSNoConstant::test_pvalues PASSED [ 91%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::TestAutoRegOLSNoConstant::test_bse PASSED [ 91%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::TestAutoRegOLSNoConstant::test_predict PASSED [ 91%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_info_criterion[lag0] PASSED [ 91%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_info_criterion[lag1] PASSED [ 91%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_info_criterion[lag2] PASSED [ 91%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_info_criterion[lag3] PASSED [ 91%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_info_criterion[lag4] PASSED [ 91%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_info_criterion[lag5] PASSED [ 91%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_info_criterion[lag6] PASSED [ 91%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_info_criterion[lag7] PASSED [ 91%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_info_criterion[lag8] PASSED [ 91%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_info_criterion[lag9] PASSED [ 91%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_info_criterion[lag10] PASSED [ 91%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_info_criterion[lag11] PASSED [ 91%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_info_criterion[lag12] PASSED [ 91%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_info_criterion[lag13] PASSED [ 91%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_info_criterion[lag14] PASSED [ 91%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_info_criterion[lag15] PASSED [ 91%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_named_series PASSED [ 91%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_series PASSED [ 91%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_ar_order_select PASSED [ 91%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_constant_column_trend PASSED [ 91%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_summary_corner PASSED [ 91%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_score PASSED [ 91%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_roots PASSED [ 91%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_dynamic PASSED [ 91%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_against_sarimax PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_predict_seasonal PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_predict_exog PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_predict_irregular_ar PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_forecast_start_end_equiv[True] PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_forecast_start_end_equiv[False] PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::test_compare_arma PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA11_NoConst::test_params PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA11_NoConst::test_aic PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA11_NoConst::test_bic PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA11_NoConst::test_arroots PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA11_NoConst::test_maroots PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA11_NoConst::test_bse PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA11_NoConst::test_covparams PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA11_NoConst::test_hqic PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA11_NoConst::test_llf PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA11_NoConst::test_resid PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA11_NoConst::test_fittedvalues PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA11_NoConst::test_pvalues PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA11_NoConst::test_tvalues PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA11_NoConst::test_sigma2 PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA11_NoConst::test_summary PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA11_NoConst::test_summary2 PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA11_NoConst::test_forecast PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA11_NoConst::test_forecasterr PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA11_NoConst::test_pickle PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA14_NoConst::test_params PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA14_NoConst::test_aic PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA14_NoConst::test_bic PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA14_NoConst::test_arroots PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA14_NoConst::test_maroots PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA14_NoConst::test_bse PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA14_NoConst::test_covparams PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA14_NoConst::test_hqic PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA14_NoConst::test_llf PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA14_NoConst::test_resid PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA14_NoConst::test_fittedvalues PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA14_NoConst::test_pvalues PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA14_NoConst::test_tvalues PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA14_NoConst::test_sigma2 PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA14_NoConst::test_summary PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA14_NoConst::test_summary2 PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA41_NoConst::test_params PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA41_NoConst::test_aic PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA41_NoConst::test_bic PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA41_NoConst::test_arroots PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA41_NoConst::test_maroots PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA41_NoConst::test_bse PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA41_NoConst::test_covparams PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA41_NoConst::test_hqic PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA41_NoConst::test_llf PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA41_NoConst::test_resid PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA41_NoConst::test_fittedvalues PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA41_NoConst::test_pvalues PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA41_NoConst::test_tvalues PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA41_NoConst::test_sigma2 PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA41_NoConst::test_summary PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA41_NoConst::test_summary2 PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA41_NoConst::test_forecast PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA41_NoConst::test_forecasterr PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA22_NoConst::test_params PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA22_NoConst::test_aic PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA22_NoConst::test_bic PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA22_NoConst::test_arroots PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA22_NoConst::test_maroots PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA22_NoConst::test_bse PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA22_NoConst::test_covparams PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA22_NoConst::test_hqic PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA22_NoConst::test_llf PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA22_NoConst::test_resid PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA22_NoConst::test_fittedvalues PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA22_NoConst::test_pvalues PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA22_NoConst::test_tvalues PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA22_NoConst::test_sigma2 PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA22_NoConst::test_summary PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA22_NoConst::test_summary2 PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA50_NoConst::test_params PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA50_NoConst::test_aic PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA50_NoConst::test_bic PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA50_NoConst::test_arroots PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA50_NoConst::test_maroots PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA50_NoConst::test_bse PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA50_NoConst::test_covparams PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA50_NoConst::test_hqic PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA50_NoConst::test_llf PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA50_NoConst::test_resid PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA50_NoConst::test_fittedvalues PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA50_NoConst::test_pvalues PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA50_NoConst::test_tvalues PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA50_NoConst::test_sigma2 PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA50_NoConst::test_summary PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA50_NoConst::test_summary2 PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA50_NoConst::test_forecast PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA50_NoConst::test_forecasterr PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA02_NoConst::test_params PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA02_NoConst::test_aic PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA02_NoConst::test_bic PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA02_NoConst::test_arroots PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA02_NoConst::test_maroots PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA02_NoConst::test_bse PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA02_NoConst::test_covparams PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA02_NoConst::test_hqic PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA02_NoConst::test_llf PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA02_NoConst::test_resid PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA02_NoConst::test_fittedvalues PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA02_NoConst::test_pvalues PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA02_NoConst::test_tvalues PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA02_NoConst::test_sigma2 PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA02_NoConst::test_summary PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA02_NoConst::test_summary2 PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA11_Const::test_params PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA11_Const::test_aic PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA11_Const::test_bic PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA11_Const::test_arroots PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA11_Const::test_maroots PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA11_Const::test_bse PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA11_Const::test_covparams PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA11_Const::test_hqic PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA11_Const::test_llf PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA11_Const::test_resid PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA11_Const::test_fittedvalues PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA11_Const::test_pvalues PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA11_Const::test_tvalues PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA11_Const::test_sigma2 PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA11_Const::test_summary PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA11_Const::test_summary2 PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA11_Const::test_forecast PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA11_Const::test_forecasterr PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA14_Const::test_params PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA14_Const::test_aic PASSED [ 92%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA14_Const::test_bic PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA14_Const::test_arroots PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA14_Const::test_maroots PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA14_Const::test_bse PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA14_Const::test_covparams PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA14_Const::test_hqic PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA14_Const::test_llf PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA14_Const::test_resid PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA14_Const::test_fittedvalues PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA14_Const::test_pvalues PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA14_Const::test_tvalues PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA14_Const::test_sigma2 PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA14_Const::test_summary PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA14_Const::test_summary2 PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA41_Const::test_params PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA41_Const::test_aic PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA41_Const::test_bic PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA41_Const::test_arroots PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA41_Const::test_maroots PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA41_Const::test_bse PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA41_Const::test_covparams PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA41_Const::test_hqic PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA41_Const::test_llf PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA41_Const::test_resid PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA41_Const::test_fittedvalues PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA41_Const::test_pvalues PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA41_Const::test_tvalues PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA41_Const::test_sigma2 PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA41_Const::test_summary PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA41_Const::test_summary2 PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA41_Const::test_forecast PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA41_Const::test_forecasterr PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA22_Const::test_params PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA22_Const::test_aic PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA22_Const::test_bic PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA22_Const::test_arroots PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA22_Const::test_maroots PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA22_Const::test_bse PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA22_Const::test_covparams PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA22_Const::test_hqic PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA22_Const::test_llf PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA22_Const::test_resid PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA22_Const::test_fittedvalues PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA22_Const::test_pvalues PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA22_Const::test_tvalues PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA22_Const::test_sigma2 PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA22_Const::test_summary2 PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA22_Const::test_summary PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA50_Const::test_params PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA50_Const::test_aic PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA50_Const::test_bic PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA50_Const::test_arroots PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA50_Const::test_maroots PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA50_Const::test_bse PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA50_Const::test_covparams PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA50_Const::test_hqic PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA50_Const::test_llf PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA50_Const::test_resid PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA50_Const::test_fittedvalues PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA50_Const::test_pvalues PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA50_Const::test_tvalues PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA50_Const::test_sigma2 PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA50_Const::test_summary PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA50_Const::test_summary2 PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA50_Const::test_forecast PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA50_Const::test_forecasterr PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA02_Const::test_params PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA02_Const::test_aic PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA02_Const::test_bic PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA02_Const::test_arroots PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA02_Const::test_maroots PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA02_Const::test_bse PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA02_Const::test_covparams PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA02_Const::test_hqic PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA02_Const::test_llf PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA02_Const::test_resid PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA02_Const::test_fittedvalues PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA02_Const::test_pvalues PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA02_Const::test_tvalues PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA02_Const::test_sigma2 PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA02_Const::test_summary PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA02_Const::test_summary2 PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA11_NoConst_CSS::test_params PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA11_NoConst_CSS::test_aic PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA11_NoConst_CSS::test_bic PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA11_NoConst_CSS::test_arroots PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA11_NoConst_CSS::test_maroots PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA11_NoConst_CSS::test_bse PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA11_NoConst_CSS::test_covparams PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA11_NoConst_CSS::test_hqic PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA11_NoConst_CSS::test_llf PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA11_NoConst_CSS::test_resid PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA11_NoConst_CSS::test_fittedvalues PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA11_NoConst_CSS::test_pvalues PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA11_NoConst_CSS::test_tvalues PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA11_NoConst_CSS::test_sigma2 PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA11_NoConst_CSS::test_summary PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA11_NoConst_CSS::test_summary2 PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA14_NoConst_CSS::test_params PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA14_NoConst_CSS::test_aic PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA14_NoConst_CSS::test_bic PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA14_NoConst_CSS::test_arroots PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA14_NoConst_CSS::test_maroots PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA14_NoConst_CSS::test_bse PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA14_NoConst_CSS::test_covparams PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA14_NoConst_CSS::test_hqic PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA14_NoConst_CSS::test_llf PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA14_NoConst_CSS::test_resid PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA14_NoConst_CSS::test_fittedvalues PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA14_NoConst_CSS::test_pvalues PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA14_NoConst_CSS::test_tvalues PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA14_NoConst_CSS::test_sigma2 PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA14_NoConst_CSS::test_summary PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA14_NoConst_CSS::test_summary2 PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA41_NoConst_CSS::test_params PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA41_NoConst_CSS::test_aic PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA41_NoConst_CSS::test_bic PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA41_NoConst_CSS::test_arroots PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA41_NoConst_CSS::test_maroots PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA41_NoConst_CSS::test_bse PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA41_NoConst_CSS::test_covparams PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA41_NoConst_CSS::test_hqic PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA41_NoConst_CSS::test_llf PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA41_NoConst_CSS::test_resid PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA41_NoConst_CSS::test_fittedvalues PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA41_NoConst_CSS::test_pvalues PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA41_NoConst_CSS::test_tvalues PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA41_NoConst_CSS::test_sigma2 PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA41_NoConst_CSS::test_summary PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA41_NoConst_CSS::test_summary2 PASSED [ 93%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA22_NoConst_CSS::test_params PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA22_NoConst_CSS::test_aic PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA22_NoConst_CSS::test_bic PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA22_NoConst_CSS::test_arroots PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA22_NoConst_CSS::test_maroots PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA22_NoConst_CSS::test_bse PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA22_NoConst_CSS::test_covparams PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA22_NoConst_CSS::test_hqic PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA22_NoConst_CSS::test_llf PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA22_NoConst_CSS::test_resid PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA22_NoConst_CSS::test_fittedvalues PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA22_NoConst_CSS::test_pvalues PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA22_NoConst_CSS::test_tvalues PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA22_NoConst_CSS::test_sigma2 PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA22_NoConst_CSS::test_summary PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA22_NoConst_CSS::test_summary2 PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA50_NoConst_CSS::test_params PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA50_NoConst_CSS::test_aic PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA50_NoConst_CSS::test_bic PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA50_NoConst_CSS::test_arroots PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA50_NoConst_CSS::test_maroots PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA50_NoConst_CSS::test_bse PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA50_NoConst_CSS::test_covparams PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA50_NoConst_CSS::test_hqic PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA50_NoConst_CSS::test_llf PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA50_NoConst_CSS::test_resid PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA50_NoConst_CSS::test_fittedvalues PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA50_NoConst_CSS::test_pvalues PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA50_NoConst_CSS::test_tvalues PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA50_NoConst_CSS::test_sigma2 PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA50_NoConst_CSS::test_summary PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA50_NoConst_CSS::test_summary2 PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA02_NoConst_CSS::test_params PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA02_NoConst_CSS::test_aic PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA02_NoConst_CSS::test_bic PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA02_NoConst_CSS::test_arroots PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA02_NoConst_CSS::test_maroots PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA02_NoConst_CSS::test_bse PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA02_NoConst_CSS::test_covparams PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA02_NoConst_CSS::test_hqic PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA02_NoConst_CSS::test_llf PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA02_NoConst_CSS::test_resid PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA02_NoConst_CSS::test_fittedvalues PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA02_NoConst_CSS::test_pvalues PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA02_NoConst_CSS::test_tvalues PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA02_NoConst_CSS::test_sigma2 PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA02_NoConst_CSS::test_summary PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA02_NoConst_CSS::test_summary2 PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA11_Const_CSS::test_params PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA11_Const_CSS::test_aic PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA11_Const_CSS::test_bic PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA11_Const_CSS::test_arroots PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA11_Const_CSS::test_maroots PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA11_Const_CSS::test_bse PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA11_Const_CSS::test_covparams PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA11_Const_CSS::test_hqic PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA11_Const_CSS::test_llf PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA11_Const_CSS::test_resid PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA11_Const_CSS::test_fittedvalues PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA11_Const_CSS::test_pvalues PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA11_Const_CSS::test_tvalues PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA11_Const_CSS::test_sigma2 PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA11_Const_CSS::test_summary PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA11_Const_CSS::test_summary2 PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA14_Const_CSS::test_params PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA14_Const_CSS::test_aic PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA14_Const_CSS::test_bic PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA14_Const_CSS::test_arroots PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA14_Const_CSS::test_maroots PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA14_Const_CSS::test_bse PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA14_Const_CSS::test_covparams PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA14_Const_CSS::test_hqic PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA14_Const_CSS::test_llf PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA14_Const_CSS::test_resid PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA14_Const_CSS::test_fittedvalues PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA14_Const_CSS::test_pvalues PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA14_Const_CSS::test_tvalues PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA14_Const_CSS::test_sigma2 PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA14_Const_CSS::test_summary PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA14_Const_CSS::test_summary2 PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA41_Const_CSS::test_params PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA41_Const_CSS::test_aic PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA41_Const_CSS::test_bic PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA41_Const_CSS::test_arroots PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA41_Const_CSS::test_maroots PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA41_Const_CSS::test_bse PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA41_Const_CSS::test_covparams PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA41_Const_CSS::test_hqic PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA41_Const_CSS::test_llf PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA41_Const_CSS::test_resid PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA41_Const_CSS::test_fittedvalues PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA41_Const_CSS::test_pvalues PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA41_Const_CSS::test_tvalues PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA41_Const_CSS::test_sigma2 PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA41_Const_CSS::test_summary PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA41_Const_CSS::test_summary2 PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA22_Const_CSS::test_params PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA22_Const_CSS::test_aic PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA22_Const_CSS::test_bic PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA22_Const_CSS::test_arroots PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA22_Const_CSS::test_maroots PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA22_Const_CSS::test_bse PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA22_Const_CSS::test_covparams PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA22_Const_CSS::test_hqic PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA22_Const_CSS::test_llf PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA22_Const_CSS::test_resid PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA22_Const_CSS::test_fittedvalues PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA22_Const_CSS::test_pvalues PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA22_Const_CSS::test_tvalues PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA22_Const_CSS::test_sigma2 PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA22_Const_CSS::test_summary PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA22_Const_CSS::test_summary2 PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA50_Const_CSS::test_params PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA50_Const_CSS::test_aic PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA50_Const_CSS::test_bic PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA50_Const_CSS::test_arroots PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA50_Const_CSS::test_maroots PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA50_Const_CSS::test_bse PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA50_Const_CSS::test_covparams PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA50_Const_CSS::test_hqic PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA50_Const_CSS::test_llf PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA50_Const_CSS::test_resid PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA50_Const_CSS::test_fittedvalues PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA50_Const_CSS::test_pvalues PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA50_Const_CSS::test_tvalues PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA50_Const_CSS::test_sigma2 PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA50_Const_CSS::test_summary PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA50_Const_CSS::test_summary2 PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA02_Const_CSS::test_params PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA02_Const_CSS::test_aic PASSED [ 94%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA02_Const_CSS::test_bic PASSED [ 95%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA02_Const_CSS::test_arroots PASSED [ 95%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA02_Const_CSS::test_maroots PASSED [ 95%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA02_Const_CSS::test_bse PASSED [ 95%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA02_Const_CSS::test_covparams PASSED [ 95%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA02_Const_CSS::test_hqic PASSED [ 95%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA02_Const_CSS::test_llf PASSED [ 95%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA02_Const_CSS::test_resid PASSED [ 95%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA02_Const_CSS::test_fittedvalues PASSED [ 95%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA02_Const_CSS::test_pvalues PASSED [ 95%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA02_Const_CSS::test_tvalues PASSED [ 95%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA02_Const_CSS::test_sigma2 PASSED [ 95%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA02_Const_CSS::test_summary PASSED [ 95%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_Y_ARMA02_Const_CSS::test_summary2 PASSED [ 95%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::test_reset_trend_error PASSED [ 95%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::test_start_params_bug PASSED [ 95%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_ARIMA101::test_params PASSED [ 95%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_ARIMA101::test_aic PASSED [ 95%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_ARIMA101::test_bic PASSED [ 95%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_ARIMA101::test_arroots PASSED [ 95%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_ARIMA101::test_maroots PASSED [ 95%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_ARIMA101::test_bse PASSED [ 95%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_ARIMA101::test_covparams PASSED [ 95%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_ARIMA101::test_hqic PASSED [ 95%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_ARIMA101::test_llf PASSED [ 95%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_ARIMA101::test_resid PASSED [ 95%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_ARIMA101::test_fittedvalues PASSED [ 95%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_ARIMA101::test_pvalues PASSED [ 95%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_ARIMA101::test_tvalues PASSED [ 95%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_ARIMA101::test_sigma2 PASSED [ 95%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_ARIMA101::test_summary PASSED [ 95%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_ARIMA101::test_summary2 PASSED [ 95%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_ARIMA111::test_params PASSED [ 95%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_ARIMA111::test_aic PASSED [ 95%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_ARIMA111::test_bic PASSED [ 95%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_ARIMA111::test_arroots PASSED [ 95%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_ARIMA111::test_maroots PASSED [ 95%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_ARIMA111::test_bse PASSED [ 95%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_ARIMA111::test_covparams PASSED [ 95%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_ARIMA111::test_hqic PASSED [ 95%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_ARIMA111::test_llf PASSED [ 95%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_ARIMA111::test_resid PASSED [ 95%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_ARIMA111::test_fittedvalues PASSED [ 95%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_ARIMA111::test_pvalues PASSED [ 95%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_ARIMA111::test_tvalues PASSED [ 95%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_ARIMA111::test_sigma2 PASSED [ 95%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_ARIMA111::test_summary PASSED [ 95%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_ARIMA111::test_summary2 PASSED [ 95%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_ARIMA111::test_forecast PASSED [ 95%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_ARIMA111::test_forecasterr PASSED [ 95%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_ARIMA111::test_dynamic_forecast PASSED [ 95%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_ARIMA111::test_order PASSED [ 95%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_ARIMA111::test_predict_levels PASSED [ 95%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_ARIMA111::test_freq PASSED [ 95%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_ARIMA111CSS::test_params PASSED [ 95%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_ARIMA111CSS::test_aic PASSED [ 95%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_ARIMA111CSS::test_bic PASSED [ 95%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_ARIMA111CSS::test_arroots PASSED [ 95%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_ARIMA111CSS::test_maroots PASSED [ 95%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_ARIMA111CSS::test_bse PASSED [ 95%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_ARIMA111CSS::test_covparams PASSED [ 95%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_ARIMA111CSS::test_hqic PASSED [ 95%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_ARIMA111CSS::test_llf PASSED [ 95%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_ARIMA111CSS::test_resid PASSED [ 95%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_ARIMA111CSS::test_fittedvalues PASSED [ 95%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_ARIMA111CSS::test_pvalues PASSED [ 95%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_ARIMA111CSS::test_tvalues PASSED [ 95%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_ARIMA111CSS::test_sigma2 PASSED [ 95%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_ARIMA111CSS::test_summary PASSED [ 95%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_ARIMA111CSS::test_summary2 PASSED [ 95%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_ARIMA111CSS::test_forecast PASSED [ 95%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_ARIMA111CSS::test_forecasterr PASSED [ 95%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_ARIMA111CSS::test_dynamic_forecast PASSED [ 95%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_ARIMA111CSS::test_order PASSED [ 95%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_ARIMA111CSS::test_predict_levels PASSED [ 95%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_ARIMA112CSS::test_params PASSED [ 95%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_ARIMA112CSS::test_aic PASSED [ 95%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_ARIMA112CSS::test_bic PASSED [ 95%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_ARIMA112CSS::test_arroots PASSED [ 95%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_ARIMA112CSS::test_maroots PASSED [ 95%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_ARIMA112CSS::test_bse PASSED [ 95%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_ARIMA112CSS::test_covparams PASSED [ 95%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_ARIMA112CSS::test_hqic PASSED [ 95%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_ARIMA112CSS::test_llf PASSED [ 95%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_ARIMA112CSS::test_resid PASSED [ 95%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_ARIMA112CSS::test_fittedvalues PASSED [ 95%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_ARIMA112CSS::test_pvalues PASSED [ 95%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_ARIMA112CSS::test_tvalues PASSED [ 95%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_ARIMA112CSS::test_sigma2 PASSED [ 95%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_ARIMA112CSS::test_summary PASSED [ 95%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_ARIMA112CSS::test_summary2 PASSED [ 95%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_ARIMA112CSS::test_order PASSED [ 95%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_ARIMA112CSS::test_predict_levels PASSED [ 95%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::Test_ARIMA112CSS::test_freq PASSED [ 95%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::test_arima_predict_mle_dates PASSED [ 95%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::test_arma_predict_mle_dates PASSED [ 95%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::test_arima_predict_css_dates PASSED [ 95%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::test_arma_predict_css_dates PASSED [ 95%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::test_arima_predict_mle PASSED [ 95%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::test_arma_predict_indices PASSED [ 95%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::test_arima_predict_indices PASSED [ 95%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::test_arima_predict_indices_css PASSED [ 95%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::test_arima_predict_css PASSED [ 95%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::test_arima_predict_css_diffs PASSED [ 95%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_arima.py::test_arima_predict_mle_diffs PASSED [ 95%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_holtwinters.py::test_dampen_no_trend[add] PASSED [ 96%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_holtwinters.py::test_dampen_no_trend[mul] PASSED [ 96%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_holtwinters.py::test_dampen_no_trend[None] PASSED [ 96%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_holtwinters.py::test_invalid_seasonal[add] PASSED [ 96%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_holtwinters.py::test_invalid_seasonal[mul] PASSED [ 96%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_holtwinters.py::test_2d_data PASSED [ 96%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_holtwinters.py::test_infer_freq PASSED [ 96%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_holtwinters.py::test_start_params[add-add] PASSED [ 96%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_holtwinters.py::test_start_params[add-mul] PASSED [ 96%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_holtwinters.py::test_start_params[add-None] PASSED [ 96%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_holtwinters.py::test_start_params[mul-add] PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_holtwinters.py::test_start_params[mul-mul] PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_holtwinters.py::test_start_params[mul-None] PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_holtwinters.py::test_start_params[None-add] PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_holtwinters.py::test_start_params[None-mul] PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_holtwinters.py::test_start_params[None-None] PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_holtwinters.py::test_no_params_to_optimize PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_holtwinters.py::test_invalid_start_param_length PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_holtwinters.py::test_basin_hopping PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_holtwinters.py::test_debiased PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_holtwinters.py::test_float_boxcox[add-add] PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_holtwinters.py::test_float_boxcox[add-mul] PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_holtwinters.py::test_float_boxcox[add-None] PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_holtwinters.py::test_float_boxcox[mul-add] PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_holtwinters.py::test_float_boxcox[mul-mul] PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_holtwinters.py::test_float_boxcox[mul-None] PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_holtwinters.py::test_float_boxcox[None-add] PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_holtwinters.py::test_float_boxcox[None-mul] PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_holtwinters.py::test_float_boxcox[None-None] PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_holtwinters.py::test_equivalence_cython_python[add-add] PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_holtwinters.py::test_equivalence_cython_python[add-mul] PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_holtwinters.py::test_equivalence_cython_python[add-None] PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_holtwinters.py::test_equivalence_cython_python[mul-add] PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_holtwinters.py::test_equivalence_cython_python[mul-mul] PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_holtwinters.py::test_equivalence_cython_python[mul-None] PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_holtwinters.py::test_equivalence_cython_python[None-add] PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_holtwinters.py::test_equivalence_cython_python[None-mul] PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_holtwinters.py::test_equivalence_cython_python[None-None] PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_holtwinters.py::test_direct_holt_add PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_holtwinters.py::test_integer_array PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_holtwinters.py::test_damping_slope_zero PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_seasonal.py::TestDecompose::test_ndarray PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_seasonal.py::TestDecompose::test_pandas PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_seasonal.py::TestDecompose::test_pandas_nofreq PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_seasonal.py::TestDecompose::test_filt PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_seasonal.py::TestDecompose::test_one_sided_moving_average_in_stl_decompose PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_seasonal.py::TestDecompose::test_2d PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_seasonal.py::TestDecompose::test_interpolate_trend PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_seasonal.py::TestDecompose::test_raises PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_seasonal.py::test_seasonal_decompose_too_short PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_seasonal.py::test_seasonal_decompose_smoke PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_seasonal.py::test_seasonal_decompose_multiple PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_seasonal.py::test_seasonal_decompose_plot[True-True-4-additive] PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_seasonal.py::test_seasonal_decompose_plot[True-True-4-multiplicative] PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_seasonal.py::test_seasonal_decompose_plot[True-True-12-additive] PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_seasonal.py::test_seasonal_decompose_plot[True-True-12-multiplicative] PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_seasonal.py::test_seasonal_decompose_plot[True-False-4-additive] PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_seasonal.py::test_seasonal_decompose_plot[True-False-4-multiplicative] PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_seasonal.py::test_seasonal_decompose_plot[True-False-12-additive] PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_seasonal.py::test_seasonal_decompose_plot[True-False-12-multiplicative] PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_seasonal.py::test_seasonal_decompose_plot[False-True-4-additive] PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_seasonal.py::test_seasonal_decompose_plot[False-True-4-multiplicative] PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_seasonal.py::test_seasonal_decompose_plot[False-True-12-additive] PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_seasonal.py::test_seasonal_decompose_plot[False-True-12-multiplicative] PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_seasonal.py::test_seasonal_decompose_plot[False-False-4-additive] PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_seasonal.py::test_seasonal_decompose_plot[False-False-4-multiplicative] PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_seasonal.py::test_seasonal_decompose_plot[False-False-12-additive] PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_seasonal.py::test_seasonal_decompose_plot[False-False-12-multiplicative] PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestADFConstant::test_teststat PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestADFConstant::test_pvalue PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestADFConstant::test_critvalues PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestADFConstantTrend::test_teststat PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestADFConstantTrend::test_pvalue PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestADFConstantTrend::test_critvalues PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestADFNoConstant::test_teststat PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestADFNoConstant::test_pvalue PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestADFNoConstant::test_critvalues PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestADFConstant2::test_teststat PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestADFConstant2::test_pvalue PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestADFConstant2::test_critvalues PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestADFConstantTrend2::test_teststat PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestADFConstantTrend2::test_pvalue PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestADFConstantTrend2::test_critvalues PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestADFNoConstant2::test_teststat PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestADFNoConstant2::test_pvalue PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestADFNoConstant2::test_critvalues PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestADFNoConstant2::test_store_str PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestACF::test_acf PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestACF::test_confint PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestACF::test_qstat PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestACF_FFT::test_acf PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestACF_FFT::test_qstat PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestACFMissing::test_raise PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestACFMissing::test_acf_none PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestACFMissing::test_acf_drop PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestACFMissing::test_acf_conservative PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestACFMissing::test_qstat_none PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestPACF::test_ols PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestPACF::test_ols_inefficient PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestPACF::test_yw PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestPACF::test_ld PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestCoint_t::test_tstat PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_coint PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_coint_identical_series PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_coint_perfect_collinearity PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestGrangerCausality::test_grangercausality PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestGrangerCausality::test_grangercausality_single PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestGrangerCausality::test_granger_fails_on_nobs_check PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestGrangerCausality::test_granger_fails_on_finite_check PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestKPSS::test_fail_nonvector_input PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestKPSS::test_fail_unclear_hypothesis PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestKPSS::test_teststat PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestKPSS::test_pval PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestKPSS::test_store PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestKPSS::test_lags PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestKPSS::test_kpss_fails_on_nobs_check PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestKPSS::test_kpss_autolags_does_not_assign_lags_equal_to_nobs PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestKPSS::test_legacy_lags PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestKPSS::test_unknown_lags PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestKPSS::test_deprecation PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_pandasacovf PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf2d PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_fft_vs_convolution[True-True] PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_fft_vs_convolution[True-False] PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_fft_vs_convolution[False-True] PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_fft_vs_convolution[False-False] PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_arma_order_select_ic PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_arma_order_select_ic_failure PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acf_fft_dataframe PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_levinson_durbin_acov PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[True-True-False-conservative] PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[True-True-False-drop] PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[True-True-False-raise] PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[True-True-False-none] PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[True-True-True-conservative] PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[True-True-True-drop] PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[True-True-True-raise] PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[True-True-True-none] PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[True-False-False-conservative] PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[True-False-False-drop] PASSED [ 97%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[True-False-False-raise] PASSED [ 98%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[True-False-False-none] PASSED [ 98%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[True-False-True-conservative] PASSED [ 98%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[True-False-True-drop] PASSED [ 98%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[True-False-True-raise] PASSED [ 98%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[True-False-True-none] PASSED [ 98%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[False-True-False-conservative] PASSED [ 98%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[False-True-False-drop] PASSED [ 98%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[False-True-False-raise] PASSED [ 98%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[False-True-False-none] PASSED [ 98%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[False-True-True-conservative] PASSED [ 98%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[False-True-True-drop] PASSED [ 98%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[False-True-True-raise] PASSED [ 98%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[False-True-True-none] PASSED [ 98%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[False-False-False-conservative] PASSED [ 98%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[False-False-False-drop] PASSED [ 98%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[False-False-False-raise] PASSED [ 98%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[False-False-False-none] PASSED [ 98%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[False-False-True-conservative] PASSED [ 98%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[False-False-True-drop] PASSED [ 98%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[False-False-True-raise] PASSED [ 98%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[False-False-True-none] PASSED [ 98%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags_missing[True-True-False-conservative] PASSED [ 98%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags_missing[True-True-False-drop] PASSED [ 98%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags_missing[True-True-True-conservative] PASSED [ 98%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags_missing[True-True-True-drop] PASSED [ 98%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags_missing[True-False-False-conservative] PASSED [ 98%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags_missing[True-False-False-drop] PASSED [ 98%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags_missing[True-False-True-conservative] PASSED [ 98%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags_missing[True-False-True-drop] PASSED [ 98%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags_missing[False-True-False-conservative] PASSED [ 98%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags_missing[False-True-False-drop] PASSED [ 98%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags_missing[False-True-True-conservative] PASSED [ 98%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags_missing[False-True-True-drop] PASSED [ 98%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags_missing[False-False-False-conservative] PASSED [ 98%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags_missing[False-False-False-drop] PASSED [ 98%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags_missing[False-False-True-conservative] PASSED [ 98%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags_missing[False-False-True-drop] PASSED [ 98%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_error PASSED [ 98%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_pacf2acf_errors PASSED [ 98%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_innovations_algo_rtol PASSED [ 98%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_innovations_errors PASSED [ 98%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_innovations_filter_pandas PASSED [ 98%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_innovations_algo_filter_kalman_filter PASSED [ 98%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_adfuller_short_series PASSED [ 98%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_adfuller_maxlag_too_large PASSED [ 98%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_periodogram_future_warning PASSED [ 98%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestZivotAndrews::test_fail_regression_type PASSED [ 98%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestZivotAndrews::test_fail_trim_value PASSED [ 98%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestZivotAndrews::test_fail_autolag_type PASSED [ 98%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestZivotAndrews::test_rgnp_case PASSED [ 98%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestZivotAndrews::test_gnpdef_case PASSED [ 98%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestZivotAndrews::test_rand10000_case PASSED [ 98%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stl.py::test_baseline_class PASSED [ 98%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stl.py::test_short_class PASSED [ 98%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stl.py::test_nljump_1_class PASSED [ 98%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stl.py::test_parameter_checks_period PASSED [ 98%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stl.py::test_jump_errors PASSED [ 98%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stl.py::test_defaults_smoke[True] PASSED [ 98%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stl.py::test_pandas[True] PASSED [ 98%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stl.py::test_no_period PASSED [ 98%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_stl.py::test_plot PASSED [ 98%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_tsa_tools.py::test_acf PASSED [ 98%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_tsa_tools.py::test_pacf_yw PASSED [ 98%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_tsa_tools.py::test_duplication_matrix PASSED [ 98%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_tsa_tools.py::test_commutation_matrix PASSED [ 98%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_tsa_tools.py::test_vec PASSED [ 98%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_tsa_tools.py::TestLagmat::test_add_lag_insert PASSED [ 98%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_tsa_tools.py::TestLagmat::test_add_lag_noinsert PASSED [ 98%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_tsa_tools.py::TestLagmat::test_add_lag_noinsert_atend PASSED [ 98%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_tsa_tools.py::TestLagmat::test_add_lag_ndarray PASSED [ 98%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_tsa_tools.py::TestLagmat::test_add_lag_noinsert_ndarray PASSED [ 98%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_tsa_tools.py::TestLagmat::test_add_lag_noinsertatend_ndarray PASSED [ 98%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_tsa_tools.py::TestLagmat::test_sep_return PASSED [ 98%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_tsa_tools.py::TestLagmat::test_add_lag1d PASSED [ 98%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_tsa_tools.py::TestLagmat::test_add_lag1d_drop PASSED [ 98%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_tsa_tools.py::TestLagmat::test_add_lag1d_struct PASSED [ 98%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_tsa_tools.py::TestLagmat::test_add_lag_1d_drop_struct PASSED [ 98%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_tsa_tools.py::TestLagmat::test_add_lag_drop_insert PASSED [ 98%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_tsa_tools.py::TestLagmat::test_add_lag_drop_noinsert PASSED [ 98%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_tsa_tools.py::TestLagmat::test_dataframe_without_pandas PASSED [ 98%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_tsa_tools.py::TestLagmat::test_dataframe_both PASSED [ 98%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_tsa_tools.py::TestLagmat::test_too_few_observations PASSED [ 98%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_tsa_tools.py::TestLagmat::test_unknown_trim PASSED [ 98%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_tsa_tools.py::TestLagmat::test_dataframe_forward PASSED [ 98%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_tsa_tools.py::TestLagmat::test_pandas_errors PASSED [ 98%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_tsa_tools.py::TestLagmat::test_series_forward PASSED [ 98%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_tsa_tools.py::TestLagmat::test_series_both PASSED [ 98%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_tsa_tools.py::test_freq_to_period PASSED [ 98%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_tsa_tools.py::TestDetrend::test_detrend_1d PASSED [ 98%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_tsa_tools.py::TestDetrend::test_detrend_2d PASSED [ 98%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_tsa_tools.py::TestDetrend::test_detrend_series PASSED [ 98%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_tsa_tools.py::TestAddTrend::test_series PASSED [ 98%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_tsa_tools.py::TestAddTrend::test_dataframe PASSED [ 98%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_tsa_tools.py::TestAddTrend::test_recarray PASSED [ 98%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_tsa_tools.py::TestAddTrend::test_duplicate_const PASSED [ 98%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_tsa_tools.py::TestAddTrend::test_mixed_recarray PASSED [ 98%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_tsa_tools.py::TestAddTrend::test_dataframe_duplicate PASSED [ 98%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_tsa_tools.py::TestAddTrend::test_unknown_trend PASSED [ 98%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_tsa_tools.py::TestAddTrend::test_trend_n PASSED [ 98%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_tsa_tools.py::TestLagmat2DS::test_lagmat2ds_numpy PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_tsa_tools.py::TestLagmat2DS::test_lagmat2ds_pandas PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_tsa_tools.py::TestLagmat2DS::test_lagmat2ds_use_pandas PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_tsa_tools.py::TestLagmat2DS::test_3d_error PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_x13.py::test_x13_arima_select_order[monthly] SKIPPED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_x13.py::test_x13_arima_select_order[monthly_start] SKIPPED [ 99%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_x13.py::test_x13_arima_select_order[series] SKIPPED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_x13.py::test_x13_arima_select_order[dataframe] SKIPPED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_x13.py::test_x13_arima_plot[monthly] SKIPPED [ 99%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_x13.py::test_x13_arima_plot[monthly_co2] SKIPPED [ 99%]
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> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_x13.py::test_x13_arima_plot[series] SKIPPED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/tests/test_x13.py::test_x13_arima_plot[dataframe] SKIPPED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_coint.py::TestCointJoh12::test_basic PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_coint.py::TestCointJoh12::test_table_trace PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_coint.py::TestCointJoh12::test_table_maxeval PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_coint.py::TestCointJoh12::test_normalization PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_coint.py::TestCointJoh12::test_evec PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_coint.py::TestCointJoh12::test_evals PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_coint.py::TestCointJoh09::test_basic PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_coint.py::TestCointJoh09::test_table_trace PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_coint.py::TestCointJoh09::test_table_maxeval PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_coint.py::TestCointJoh09::test_normalization PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_coint.py::TestCointJohMin18::test_basic PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_coint.py::TestCointJohMin18::test_table_trace PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_coint.py::TestCointJohMin18::test_table_maxeval PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_coint.py::TestCointJohMin18::test_normalization PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_coint.py::TestCointJoh25::test_basic PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_coint.py::TestCointJoh25::test_table_trace PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_coint.py::TestCointJoh25::test_table_maxeval PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_coint.py::TestCointJoh25::test_normalization PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_coint.py::test_coint_johansen_0lag PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_svar.py::TestSVAR::test_A PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_svar.py::TestSVAR::test_B PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_svar.py::TestSVAR::test_basic PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_svar.py::TestSVAR::test_llf_ic PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_svar.py::TestSVAR::test_irf PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_irf_coefs PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_plot_irf PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_plot_cum_effects PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_fevd_plot PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_fevd_repr PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_fevd_summary PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_fevd_cov XFAIL [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_constructor PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_names PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_get_eq_index PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_repr PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_params PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_cov_params PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_cov_ybar PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_tstat PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_pvalues PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_summary PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_detsig PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_aic PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_bic PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_hqic PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_fpe PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_lagorder_select PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_nobs PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_stderr PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_loglike PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_ma_rep PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_causality PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_causality_no_lags PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_select_order PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_is_stable PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_acf PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_acf_2_lags PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_acorr PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_forecast PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_forecast_interval PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_plot_sim PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_plot PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_plot_acorr PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_plot_forecast PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_reorder PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_pickle PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::test_lutkepohl_parse PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResultsLutkepohl::test_approx_mse PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResultsLutkepohl::test_irf_stderr PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResultsLutkepohl::test_cum_irf_stderr PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResultsLutkepohl::test_lr_effect_stderr PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::test_get_trendorder PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::test_var_constant PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::test_var_trend PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::test_irf_trend PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARExtras::test_process PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARExtras::test_process_plotting PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARExtras::test_forecast_cov PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARExtras::test_exog PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::test_deprecated_attributes_varresults[y] PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::test_deprecated_attributes_varresults[ys_lagged] PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::test_var_cov_params_pandas PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::test_summaries_exog PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var_jmulti.py::test_ols_coefs PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var_jmulti.py::test_ols_det_terms PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var_jmulti.py::test_ols_sigma PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var_jmulti.py::test_log_like PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var_jmulti.py::test_fc PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var_jmulti.py::test_causality PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var_jmulti.py::test_impulse_response PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var_jmulti.py::test_lag_order_selection PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var_jmulti.py::test_normality PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var_jmulti.py::test_whiteness PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var_jmulti.py::test_exceptions PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_ml_gamma PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_ml_alpha PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_ml_beta PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_ml_c PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_ml_det_terms_in_coint_relation PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_ml_sigma PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_var_rep PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_var_to_vecm PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_log_like PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_fc PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_granger_causality PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_inst_causality PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_impulse_response PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_lag_order_selection PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_normality PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_whiteness PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_summary PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_exceptions PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_select_coint_rank PASSED [ 99%]
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_VECM_seasonal_forecast PASSED [100%]
> 
> =================================== FAILURES ===================================
> ____________________________ test_full_output_false ____________________________
> 
> reset_randomstate = None
> 
>     @pytest.mark.smoke
>     def test_full_output_false(reset_randomstate):
>         # newton needs f, score, start, fargs, kwargs
>         # bfgs needs f, score start, fargs, kwargs
>         # nm needs ""
>         # cg ""
>         # ncg ""
>         # powell ""
>         for method in fit_funcs:
>             func = fit_funcs[method]
>             if method == "newton":
>                 xopt, retvals = func(dummy_func, dummy_score, [1], (), {},
>                         hess=dummy_hess, full_output=False, disp=0)
>     
>             else:
>                 xopt, retvals = func(dummy_func, dummy_score, [1], (), {},
>                     full_output=False, disp=0)
>             assert_(retvals is None)
>             if method == "powell":
>                 #NOTE: I think I reported this? Might be version/optimize API
>                 # dependent
> >               assert_(xopt.shape == () and xopt.size == 1)
> E               AssertionError
> 
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_optimize.py:53: AssertionError
> _______________________________ test_full_output _______________________________
> 
> reset_randomstate = None
> 
>     def test_full_output(reset_randomstate):
>         for method in fit_funcs:
>             func = fit_funcs[method]
>             if method == "newton":
>                 xopt, retvals = func(dummy_func, dummy_score, [1], (), {},
>                                      hess=dummy_hess, full_output=True, disp=0)
>     
>             else:
>                 xopt, retvals = func(dummy_func, dummy_score, [1], (), {},
>                                      full_output=True, disp=0)
>     
>             assert_(retvals is not None)
>             assert_('converged' in retvals)
>     
>             if method == "powell":
>                 #NOTE: I think I reported this? Might be version/optimize API
>                 # dependent
> >               assert_(xopt.shape == () and xopt.size == 1)
> E               AssertionError
> 
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/tests/test_optimize.py:75: AssertionError
> __________________________________ test_plot ___________________________________
> 
>     @pytest.mark.matplotlib
>     def test_plot():
>         import matplotlib.pyplot as plt
>     
>         y, x, w = gen_data(250, 3, True, pandas=True)
>         fmla = 'y ~ 1 + x0 + x1 + x2'
>         data = pd.concat([y, x], axis=1)
>         mod = RollingWLS.from_formula(fmla, window=100, data=data, weights=w)
>         res = mod.fit()
>         fig = res.plot_recursive_coefficient()
>         assert isinstance(fig, plt.Figure)
>         res.plot_recursive_coefficient(variables=2, alpha=None,
>                                        figsize=(30, 7))
>         res.plot_recursive_coefficient(variables='x0', alpha=None,
>                                        figsize=(30, 7))
>         res.plot_recursive_coefficient(variables=[0, 2], alpha=None,
>                                        figsize=(30, 7))
>         res.plot_recursive_coefficient(variables=['x0'], alpha=None,
>                                        figsize=(30, 7))
>         res.plot_recursive_coefficient(variables=['x0', 'x1', 'x2'], alpha=None,
>                                        figsize=(30, 7))
>         with pytest.raises(ValueError, match='variable x4 is not an integer'):
>             res.plot_recursive_coefficient(variables='x4')
>     
>         fig = plt.Figure()
>         with pytest.warns(UserWarning, match="tight_layout"):
> >           out = res.plot_recursive_coefficient(fig=fig)
> E           Failed: DID NOT WARN. No warnings of type (<class 'UserWarning'>,) matching ('tight_layout') was emitted. The list of emitted warnings is: [MatplotlibDeprecationWarning('savefig() got unexpected keyword argument "dpi" which is no longer supported as of 3.3 and will become an error two minor releases later')].
> 
> ../.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_rolling.py:260: Failed
> =============================== warnings summary ===============================
> base/tests/test_generic_methods.py::TestGenericOLS::test_zero_constrained
> base/tests/test_generic_methods.py::TestGenericOLS::test_zero_collinear
> base/tests/test_generic_methods.py::TestGenericOLS::test_zero_collinear
> base/tests/test_generic_methods.py::TestGenericOLSOneExog::test_zero_collinear
> base/tests/test_generic_methods.py::TestGenericOLSOneExog::test_zero_collinear
> base/tests/test_generic_methods.py::TestGenericWLS::test_zero_constrained
> base/tests/test_generic_methods.py::TestGenericWLS::test_zero_collinear
> base/tests/test_generic_methods.py::TestGenericWLS::test_zero_collinear
> base/tests/test_generic_methods.py::TestGenericPoisson::test_zero_constrained
> base/tests/test_generic_methods.py::TestGenericPoisson::test_zero_collinear
> base/tests/test_generic_methods.py::TestGenericPoisson::test_zero_collinear
> base/tests/test_generic_methods.py::TestGenericPoissonOffset::test_zero_constrained
> base/tests/test_generic_methods.py::TestGenericPoissonOffset::test_zero_collinear
> base/tests/test_generic_methods.py::TestGenericPoissonOffset::test_zero_collinear
> base/tests/test_generic_methods.py::TestGenericNegativeBinomial::test_zero_constrained
> base/tests/test_generic_methods.py::TestGenericNegativeBinomial::test_zero_collinear
> base/tests/test_generic_methods.py::TestGenericNegativeBinomial::test_zero_collinear
> base/tests/test_generic_methods.py::TestGenericLogit::test_zero_constrained
> base/tests/test_generic_methods.py::TestGenericLogit::test_zero_collinear
> base/tests/test_generic_methods.py::TestGenericLogit::test_zero_collinear
> base/tests/test_generic_methods.py::TestGenericRLM::test_zero_constrained
> base/tests/test_generic_methods.py::TestGenericRLM::test_zero_collinear
> base/tests/test_generic_methods.py::TestGenericGLM::test_zero_constrained
> base/tests/test_generic_methods.py::TestGenericGLM::test_zero_collinear
> base/tests/test_generic_methods.py::TestGenericGLM::test_zero_collinear
> base/tests/test_generic_methods.py::TestGenericGLMPoissonOffset::test_zero_constrained
> base/tests/test_generic_methods.py::TestGenericGLMPoissonOffset::test_zero_collinear
> base/tests/test_generic_methods.py::TestGenericGLMPoissonOffset::test_zero_collinear
>   /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/model.py:1362: RuntimeWarning: invalid value encountered in true_divide
>     return self.params / self.bse
> 
> base/tests/test_penalized.py::TestPenalizedPoissonOraclePenalized2::test_params_table
> base/tests/test_penalized.py::TestPenalizedPoissonOraclePenalized2HC::test_params_table
> base/tests/test_penalized.py::TestPenalizedGLMBinomCountOracleHC::test_params_table
> base/tests/test_penalized.py::TestPenalizedGLMBinomCountOracleHC2::test_params_table
> base/tests/test_shrink_pickle.py::TestRemoveDataPickleNegativeBinomial::test_remove_data_pickle
> base/tests/test_shrink_pickle.py::TestRemoveDataPickleNegativeBinomial::test_remove_data_docstring
> base/tests/test_shrink_pickle.py::TestRemoveDataPickleNegativeBinomial::test_pickle_wrapper
> discrete/tests/test_count_model.py::TestZeroInflatedModel_logit::test_params
> discrete/tests/test_count_model.py::TestZeroInflatedModel_probit::test_params
> discrete/tests/test_count_model.py::TestZeroInflatedModel_offset::test_params
> discrete/tests/test_count_model.py::TestZeroInflatedPoisson_predict::test_mean
> discrete/tests/test_count_model.py::TestZeroInflatedGeneralizedPoisson::test_minimize
> discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP::test_minimize
> discrete/tests/test_discrete.py::TestCVXOPT::test_cvxopt_versus_slsqp
> discrete/tests/test_discrete.py::TestLogitL1Compatability::test_params
> discrete/tests/test_discrete.py::TestL1AlphaZeroLogit::test_basic_results
> discrete/tests/test_discrete.py::TestL1AlphaZeroLogit::test_converged
> discrete/tests/test_discrete.py::TestNegativeBinomialNB1Null::test_llnull
> discrete/tests/test_discrete.py::TestNegativeBinomialNBP1Null::test_llnull
> genmod/tests/test_glm.py::TestGlmGaussianGradient::test_params
> tsa/arima/estimators/tests/test_innovations.py::test_innovations_mle_integrated
> tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersDampedETSEstimated::test_mle_estimates
> tsa/statespace/tests/test_fixed_params.py::test_varmax_invalid
> tsa/tests/test_arima.py::test_predict_exog_missing
>   /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/model.py:567: ConvergenceWarning: Maximum Likelihood optimization failed to converge. Check mle_retvals
>     warn("Maximum Likelihood optimization failed to converge. "
> 
> discrete/tests/test_constrained.py::TestGLMLogitConstrained1::test_basic_method
>   /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/model.py:1362: RuntimeWarning: divide by zero encountered in true_divide
>     return self.params / self.bse
> 
> 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_3.8_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::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
> discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP::test_fit_regularized
> discrete/tests/test_discrete.py::TestGeneralizedPoisson_p1::test_fit_regularized
>   /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_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_3.8_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_3.8_statsmodels/build/statsmodels/base/l1_solvers_common.py:71: ConvergenceWarning: QC check did not pass for 4 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_3.8_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_3.8_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
> tsa/tests/test_arima.py::test_small_data
> tsa/tests/test_arima.py::test_predict_exog_missing
>   /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/model.py:547: HessianInversionWarning: Inverting hessian failed, no bse or cov_params available
>     warn('Inverting hessian failed, no bse or cov_params '
> 
> discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP::test_fit_regularized
>   /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_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_3.8_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_3.8_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
>   /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_statsmodels/build/statsmodels/discrete/discrete_model.py:1016: RuntimeWarning: overflow encountered in exp
>     return np.sum(-np.exp(XB) +  endog*XB - gammaln(endog+1))
> 
> discrete/tests/test_discrete.py::TestGeneralizedPoisson_p1::test_fit_regularized
>   /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_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_3.8_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)
> 
> genmod/tests/test_bayes_mixed_glm.py::test_logit_map_crossed_formula
> genmod/tests/test_bayes_mixed_glm.py::test_logit_map_crossed_formula
> genmod/tests/test_bayes_mixed_glm.py::test_crossed_logit_vb_formula
> genmod/tests/test_bayes_mixed_glm.py::test_crossed_logit_vb_formula
> genmod/tests/test_bayes_mixed_glm.py::test_poisson_formula
> genmod/tests/test_bayes_mixed_glm.py::test_poisson_formula
> genmod/tests/test_bayes_mixed_glm.py::test_poisson_formula
> genmod/tests/test_bayes_mixed_glm.py::test_poisson_formula
> genmod/tests/test_bayes_mixed_glm.py::test_doc_examples
> genmod/tests/test_bayes_mixed_glm.py::test_doc_examples
> genmod/tests/test_bayes_mixed_glm.py::test_doc_examples
> genmod/tests/test_bayes_mixed_glm.py::test_doc_examples
>   /usr/lib/python3/dist-packages/numpy/core/numeric.py:192: DeprecationWarning: Converting `np.integer` or `np.signedinteger` to a dtype is deprecated. The current result is `np.dtype(np.int_)` which is not strictly correct. Note that the result depends on the system. To ensure stable results use may want to use `np.int64` or `np.int32`.
>     a = empty(shape, dtype, order)
> 
> graphics/tests/test_tsaplots.py::test_plot_pacf
> graphics/tests/test_tsaplots.py::test_plot_pacf
> graphics/tests/test_tsaplots.py::test_plot_pacf_kwargs
> graphics/tests/test_tsaplots.py::test_plot_pacf_kwargs
> graphics/tests/test_tsaplots.py::test_plot_pacf_kwargs
> graphics/tests/test_tsaplots.py::test_plot_pacf_irregular
>   /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/linear_model.py:1406: RuntimeWarning: invalid value encountered in sqrt
>     return rho, np.sqrt(sigmasq)
> 
> nonparametric/tests/test_kernel_density.py::TestKDEMultivariateConditional::test_unordered_CV_LS
>   /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_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_3.8_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)
> 
> regression/tests/test_dimred.py::test_covreduce
>   /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/dimred.py:691: UserWarning: CovReduce optimization did not converge, |g|=1.287955
>     warnings.warn(msg)
> 
> regression/tests/test_glsar_gretl.py::TestGLSARGretl::test_all
>   /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_glsar_gretl.py:126: FutureWarning: the 'maxlag' keyword is deprecated, use 'nlags' instead
>     sm_arch = smsdia.het_arch(res.wresid, maxlag=4)
> 
> regression/tests/test_glsar_gretl.py::TestGLSARGretl::test_all
>   /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_glsar_gretl.py:159: FutureWarning: the 'maxlag' keyword is deprecated, use 'nlags' instead
>     sm_arch = smsdia.het_arch(res.wresid, maxlag=4)
> 
> regression/tests/test_glsar_gretl.py::TestGLSARGretl::test_all
>   /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/tests/test_glsar_gretl.py:395: FutureWarning: the 'maxlag' keyword is deprecated, use 'nlags' instead
>     sm_arch = smsdia.het_arch(res.resid, maxlag=4)
> 
> regression/tests/test_processreg.py::test_formulas
>   /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_statsmodels/build/statsmodels/regression/process_regression.py:632: UserWarning: Fitting did not converge, |gradient|=0.000047
>     warnings.warn(msg)
> 
> regression/tests/test_recursive_ls.py::test_multiple_constraints
> tsa/statespace/tests/test_varmax.py::TestVAR_measurement_error::test_results
>   /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_statsmodels/build/statsmodels/base/model.py:1354: RuntimeWarning: invalid value encountered in sqrt
>     bse_ = np.sqrt(np.diag(self.cov_params()))
> 
> robust/tests/test_scale.py::TestMad::test_mad_empty
>   /usr/lib/python3/dist-packages/numpy/core/fromnumeric.py:3372: RuntimeWarning: Mean of empty slice.
>     return _methods._mean(a, axis=axis, dtype=dtype,
> 
> robust/tests/test_scale.py::TestMad::test_mad_empty
>   /usr/lib/python3/dist-packages/numpy/core/_methods.py:170: RuntimeWarning: invalid value encountered in double_scalars
>     ret = ret.dtype.type(ret / rcount)
> 
> robust/tests/test_scale.py::TestHuberAxes::test_axis1
>   /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_statsmodels/build/statsmodels/robust/scale.py:164: 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:5930: RuntimeWarning: overflow encountered in double_scalars
>     Px /= np.sqrt(r*np.pi)*(1+(x**2)/r)**((r+1)/2)
> 
> sandbox/tests/test_gam.py::TestGAMGaussianLogLink::test_predict
>   /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/gam.py:327: IterationLimitWarning: 
>   Maximum iteration reached.
>   
>     warnings.warn(iteration_limit_doc, IterationLimitWarning)
> 
> stats/tests/test_contingency_tables.py::TestStratified1::test_pandas
>   /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/contingency_tables.py:1216: RuntimeWarning: divide by zero encountered in true_divide
>     v11 = (1 / e11 + 1 / (self._apc - e11) + 1 / (self._apb - e11) +
> 
> stats/tests/test_contingency_tables.py::TestStratified1::test_pandas
>   /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/contingency_tables.py:1216: RuntimeWarning: invalid value encountered in add
>     v11 = (1 / e11 + 1 / (self._apc - e11) + 1 / (self._apb - e11) +
> 
> stats/tests/test_contingency_tables.py::TestStratified1::test_pandas
>   /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/contingency_tables.py:1217: RuntimeWarning: divide by zero encountered in true_divide
>     1 / (self._dma + e11))
> 
> stats/tests/test_contingency_tables.py::TestStratified1::test_pandas
>   /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/contingency_tables.py:1220: RuntimeWarning: invalid value encountered in true_divide
>     statistic = np.sum((table[0, 0, :] - e11)**2 / v11)
> 
> 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_3.8_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_3.8_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_dist_dependant_measures.py::TestDistDependenceMeasures::test_statistic_value_emp_method
>   /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/dist_dependence_measures.py:137: UserWarning: p-value was 0.0 when using the empirical method. The asymptotic approximation will be used instead
>     warnings.warn(msg)
> 
> stats/tests/test_pairwise.py::TestTuckeyHSD2::test_plot_simultaneous_ci
> stats/tests/test_pairwise.py::TestTuckeyHSD2Pandas::test_plot_simultaneous_ci
> stats/tests/test_pairwise.py::TestTuckeyHSD2s::test_plot_simultaneous_ci
> stats/tests/test_pairwise.py::TestTuckeyHSD3::test_plot_simultaneous_ci
> stats/tests/test_pairwise.py::TestTuckeyHSD4::test_plot_simultaneous_ci
>   /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_statsmodels/build/statsmodels/sandbox/stats/multicomp.py:775: UserWarning: FixedFormatter should only be used together with FixedLocator
>     ax1.set_yticklabels(np.insert(self.groupsunique.astype(str), 0, ''))
> 
> stats/tests/test_power.py::test_power_solver_warn
>   /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_statsmodels/build/statsmodels/stats/power.py:89: 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_3.8_statsmodels/build/statsmodels/stats/weightstats.py:1298: RuntimeWarning: invalid value encountered in log
>     low = transform(low)
> 
> tsa/statespace/tests/test_mlemodel.py::test_integer_params
>   /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/kalman_filter.py:1758: RuntimeWarning: invalid value encountered in double_scalars
>     self.scale = np.sum(scale_obs[d:]) / nobs_k_endog
> 
> tsa/statespace/tests/test_varmax.py::TestVAR_exog::test_predict
> tsa/statespace/tests/test_varmax.py::TestVAR_exog2::test_predict
> tsa/statespace/tests/test_varmax.py::test_misc_exog
>   /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/statespace/mlemodel.py:1728: ValueWarning: Exogenous array provided, but additional data is not required. `exog` argument ignored.
>     warnings.warn('Exogenous array provided, but additional data'
> 
> tsa/tests/test_ar.py::test_parameterless_autoreg
> tsa/tests/test_ar.py::test_parameterless_autoreg
>   /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/ar_model.py:1919: FutureWarning: the 'maxlag' keyword is deprecated, use 'nlags' instead
>     res = het_arch(self.resid, maxlag=lag, autolag=None)
> 
> tsa/tests/test_holtwinters.py::TestHoltWinters::test_forecast
> tsa/tests/test_holtwinters.py::TestHoltWinters::test_hw_seasonal
> tsa/tests/test_holtwinters.py::TestHoltWinters::test_hw_seasonal_buggy
>   /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/holtwinters.py:743: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
>     warn("Optimization failed to converge. Check mle_retvals.",
> 
> tsa/vector_ar/tests/test_var.py::TestVARResults::test_plot_irf
>   /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_statsmodels/build/statsmodels/tsa/vector_ar/plotting.py:206: 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, axes = plt.subplots(nrows=nrows, ncols=ncols, sharex=True,
> 
> -- Docs: https://docs.pytest.org/en/latest/warnings.html
> = 3 failed, 12658 passed, 171 skipped, 142 xfailed, 14 xpassed, 145 warnings in 1030.56 seconds =
> make[1]: *** [debian/rules:116: override_dh_auto_test] Error 1

The full build log is available from:
   http://qa-logs.debian.net/2020/08/02/statsmodels_0.11.1-3_unstable.log

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!

About the archive rebuild: The rebuild was done on EC2 VM instances from
Amazon Web Services, using a clean, minimal and up-to-date chroot. Every
failed build was retried once to eliminate random failures.