Bug#917754: statsmodels: FTBFS: Could not import extension matplotlib.sphinxext.only_directives (exception: No module named 'matplotlib.sphinxext.only_directives')

Lucas Nussbaum lucas at debian.org
Sat Dec 29 22:38:17 GMT 2018


Source: statsmodels
Version: 0.8.0-7
Severity: serious
Justification: FTBFS on amd64
Tags: buster sid
Usertags: ftbfs-20181229 ftbfs-buster

Hi,

During a rebuild of all packages in sid, your package failed to build
on amd64.

Relevant part (hopefully):
> make[2]: Entering directory '/<<PKGBUILDDIR>>/docs'
> Make static directory for images
> mkdir -p build/html/_static
> # generate the examples rst files
> Generating reST from examples folder
> #../tools/examples_rst.py
> Generating datasets from installed statsmodels.datasets
> python3 ../tools/dataset_rst.py
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.7_statsmodels/build/statsmodels/compat/pandas.py:56: FutureWarning: The pandas.core.datetools module is deprecated and will be removed in a future version. Please use the pandas.tseries module instead.
>   from pandas.core import datetools
> Generating notebooks from examples/notebooks folder
> python3 ../tools/nbgenerate.py --execute=True --allow_errors=True
> RUNNING THE L-BFGS-B CODE
> 
>            * * *
> 
> Machine precision = 2.220D-16
>  N =            4     M =           10
>  This problem is unconstrained.
> 
> At X0         0 variables are exactly at the bounds
> 
> At iterate    0    f=  4.23082D+00    |proj g|=  4.24640D-03
> 
> At iterate    5    f=  4.23081D+00    |proj g|=  4.05724D-04
> 
> At iterate   10    f=  4.23081D+00    |proj g|=  1.30108D-04
> 
> At iterate   15    f=  4.23080D+00    |proj g|=  1.31695D-03
> 
>            * * *
> 
> Tit   = total number of iterations
> Tnf   = total number of function evaluations
> Tnint = total number of segments explored during Cauchy searches
> Skip  = number of BFGS updates skipped
> Nact  = number of active bounds at final generalized Cauchy point
> Projg = norm of the final projected gradient
> F     = final function value
> 
>            * * *
> 
>    N    Tit     Tnf  Tnint  Skip  Nact     Projg        F
>     4     19     23      1     0     0   3.347D-06   4.231D+00
>   F =   4.2308031361514127     
> 
> CONVERGENCE: NORM_OF_PROJECTED_GRADIENT_<=_PGTOL            
> 
>  Cauchy                time 0.000E+00 seconds.
>  Subspace minimization time 0.000E+00 seconds.
>  Line search           time 0.000E+00 seconds.
> 
>  Total User time 0.000E+00 seconds.
> 
> RUNNING THE L-BFGS-B CODE
> 
>            * * *
> 
> Machine precision = 2.220D-16
>  N =            5     M =           10
>  This problem is unconstrained.
> 
> At X0         0 variables are exactly at the bounds
> 
> At iterate    0    f=  4.22237D+00    |proj g|=  5.01920D-03
> 
> At iterate    5    f=  4.22236D+00    |proj g|=  2.92744D-04
> 
> At iterate   10    f=  4.22235D+00    |proj g|=  2.35973D-04
> 
> At iterate   15    f=  4.22234D+00    |proj g|=  1.81119D-03
> 
> At iterate   20    f=  4.22234D+00    |proj g|=  4.50080D-05
> 
>            * * *
> 
> Tit   = total number of iterations
> Tnf   = total number of function evaluations
> Tnint = total number of segments explored during Cauchy searches
> Skip  = number of BFGS updates skipped
> Nact  = number of active bounds at final generalized Cauchy point
> Projg = norm of the final projected gradient
> F     = final function value
> 
>            * * *
> 
>    N    Tit     Tnf  Tnint  Skip  Nact     Projg        F
>     5     20     23      1     0     0   4.501D-05   4.222D+00
>   F =   4.2223359703293983     
> 
> CONVERGENCE: REL_REDUCTION_OF_F_<=_FACTR*EPSMCH             
> 
>  Cauchy                time 0.000E+00 seconds.
>  Subspace minimization time 0.000E+00 seconds.
>  Line search           time 0.000E+00 seconds.
> 
>  Total User time 0.000E+00 seconds.
> 
> RUNNING THE L-BFGS-B CODE
> 
>            * * *
> 
> Machine precision = 2.220D-16
>  N =            3     M =           12
>  This problem is unconstrained.
> 
> At X0         0 variables are exactly at the bounds
> 
> At iterate    0    f=  4.23082D+00    |proj g|=  8.41904D-04
> 
> At iterate    5    f=  4.23082D+00    |proj g|=  2.53486D-04
> 
> At iterate   10    f=  4.23080D+00    |proj g|=  3.19123D-04
> 
> At iterate   15    f=  4.23080D+00    |proj g|=  0.00000D+00
> 
>            * * *
> 
> Tit   = total number of iterations
> Tnf   = total number of function evaluations
> Tnint = total number of segments explored during Cauchy searches
> Skip  = number of BFGS updates skipped
> Nact  = number of active bounds at final generalized Cauchy point
> Projg = norm of the final projected gradient
> F     = final function value
> 
>            * * *
> 
>    N    Tit     Tnf  Tnint  Skip  Nact     Projg        F
>     3     15     19      1     0     0   0.000D+00   4.231D+00
>   F =   4.2308031360254565     
> 
> CONVERGENCE: NORM_OF_PROJECTED_GRADIENT_<=_PGTOL            
> 
>  Cauchy                time 0.000E+00 seconds.
>  Subspace minimization time 0.000E+00 seconds.
>  Line search           time 0.000E+00 seconds.
> 
>  Total User time 0.000E+00 seconds.
> 
> RUNNING THE L-BFGS-B CODE
> 
>            * * *
> 
> Machine precision = 2.220D-16
>  N =            4     M =           12
>  This problem is unconstrained.
> 
> At X0         0 variables are exactly at the bounds
> 
> At iterate    0    f=  4.22237D+00    |proj g|=  1.77725D-03
> 
> At iterate    5    f=  4.22236D+00    |proj g|=  1.28875D-04
> 
> At iterate   10    f=  4.22234D+00    |proj g|=  9.76019D-04
> 
> At iterate   15    f=  4.22234D+00    |proj g|=  8.88178D-07
> 
>            * * *
> 
> Tit   = total number of iterations
> Tnf   = total number of function evaluations
> Tnint = total number of segments explored during Cauchy searches
> Skip  = number of BFGS updates skipped
> Nact  = number of active bounds at final generalized Cauchy point
> Projg = norm of the final projected gradient
> F     = final function value
> 
>            * * *
> 
>    N    Tit     Tnf  Tnint  Skip  Nact     Projg        F
>     4     17     26      1     0     0   2.665D-07   4.222D+00
>   F =   4.2223359687650603     
> 
> CONVERGENCE: REL_REDUCTION_OF_F_<=_FACTR*EPSMCH             
> 
>  Cauchy                time 0.000E+00 seconds.
>  Subspace minimization time 0.000E+00 seconds.
>  Line search           time 0.000E+00 seconds.
> 
>  Total User time 0.000E+00 seconds.
> 
> RUNNING THE L-BFGS-B CODE
> 
>            * * *
> 
> Machine precision = 2.220D-16
>  N =            3     M =           12
>  This problem is unconstrained.
> 
> At X0         0 variables are exactly at the bounds
> 
> At iterate    0    f=  2.46776D+00    |proj g|=  8.52900D-03
> 
> At iterate    5    f=  2.46684D+00    |proj g|=  6.99796D-04
> 
> At iterate   10    f=  2.46684D+00    |proj g|=  4.44089D-08
> 
>            * * *
> 
> Tit   = total number of iterations
> Tnf   = total number of function evaluations
> Tnint = total number of segments explored during Cauchy searches
> Skip  = number of BFGS updates skipped
> Nact  = number of active bounds at final generalized Cauchy point
> Projg = norm of the final projected gradient
> F     = final function value
> 
>            * * *
> 
>    N    Tit     Tnf  Tnint  Skip  Nact     Projg        F
>     3     11     21      1     0     0   4.441D-08   2.467D+00
>   F =   2.4668361847172697     
> 
> CONVERGENCE: REL_REDUCTION_OF_F_<=_FACTR*EPSMCH             
> 
>  Cauchy                time 0.000E+00 seconds.
>  Subspace minimization time 0.000E+00 seconds.
>  Line search           time 0.000E+00 seconds.
> 
>  Total User time 0.000E+00 seconds.
> 
> RUNNING THE L-BFGS-B CODE
> 
>            * * *
> 
> Machine precision = 2.220D-16
>  N =            6     M =           12
>  This problem is unconstrained.
> 
> At X0         0 variables are exactly at the bounds
> 
> At iterate    0    f=  2.31550D+00    |proj g|=  1.76959D-02
> 
> At iterate    5    f=  2.31296D+00    |proj g|=  5.41003D-03
> 
> At iterate   10    f=  2.31191D+00    |proj g|=  4.70468D-04
> 
> At iterate   15    f=  2.31191D+00    |proj g|=  1.77636D-07
> 
>            * * *
> 
> Tit   = total number of iterations
> Tnf   = total number of function evaluations
> Tnint = total number of segments explored during Cauchy searches
> Skip  = number of BFGS updates skipped
> Nact  = number of active bounds at final generalized Cauchy point
> Projg = norm of the final projected gradient
> F     = final function value
> 
>            * * *
> 
>    N    Tit     Tnf  Tnint  Skip  Nact     Projg        F
>     6     17     21      1     0     0   4.441D-08   2.312D+00
>   F =   2.3119057684972777     
> 
> CONVERGENCE: REL_REDUCTION_OF_F_<=_FACTR*EPSMCH             
> 
>  Cauchy                time 0.000E+00 seconds.
>  Subspace minimization time 0.000E+00 seconds.
>  Line search           time 0.000E+00 seconds.
> 
>  Total User time 0.000E+00 seconds.
> 
> Executeing /<<PKGBUILDDIR>>/examples/notebooks/statespace_sarimax_stata.ipynb to /<<PKGBUILDDIR>>/examples/executed/statespace_sarimax_stata.ipynb
> Converting /<<PKGBUILDDIR>>/examples/executed/statespace_sarimax_stata.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/statespace_sarimax_stata.html
> Executeing /<<PKGBUILDDIR>>/examples/notebooks/gls.ipynb to /<<PKGBUILDDIR>>/examples/executed/gls.ipynb
> Converting /<<PKGBUILDDIR>>/examples/executed/gls.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/gls.html
> Executeing /<<PKGBUILDDIR>>/examples/notebooks/tsa_filters.ipynb to /<<PKGBUILDDIR>>/examples/executed/tsa_filters.ipynb
> Converting /<<PKGBUILDDIR>>/examples/executed/tsa_filters.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/tsa_filters.html
> Executeing /<<PKGBUILDDIR>>/examples/notebooks/recursive_ls.ipynb to /<<PKGBUILDDIR>>/examples/executed/recursive_ls.ipynb
> Converting /<<PKGBUILDDIR>>/examples/executed/recursive_ls.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/recursive_ls.html
> Executeing /<<PKGBUILDDIR>>/examples/notebooks/predict.ipynb to /<<PKGBUILDDIR>>/examples/executed/predict.ipynb
> Converting /<<PKGBUILDDIR>>/examples/executed/predict.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/predict.html
> Executeing /<<PKGBUILDDIR>>/examples/notebooks/pca_fertility_factors.ipynb to /<<PKGBUILDDIR>>/examples/executed/pca_fertility_factors.ipynb
> Converting /<<PKGBUILDDIR>>/examples/executed/pca_fertility_factors.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/pca_fertility_factors.html
> Executeing /<<PKGBUILDDIR>>/examples/notebooks/tsa_dates.ipynb to /<<PKGBUILDDIR>>/examples/executed/tsa_dates.ipynb
> Converting /<<PKGBUILDDIR>>/examples/executed/tsa_dates.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/tsa_dates.html
> Executeing /<<PKGBUILDDIR>>/examples/notebooks/regression_diagnostics.ipynb to /<<PKGBUILDDIR>>/examples/executed/regression_diagnostics.ipynb
> Converting /<<PKGBUILDDIR>>/examples/executed/regression_diagnostics.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/regression_diagnostics.html
> Executeing /<<PKGBUILDDIR>>/examples/notebooks/statespace_cycles.ipynb to /<<PKGBUILDDIR>>/examples/executed/statespace_cycles.ipynb
> Converting /<<PKGBUILDDIR>>/examples/executed/statespace_cycles.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/statespace_cycles.html
> Executeing /<<PKGBUILDDIR>>/examples/notebooks/statespace_local_linear_trend.ipynb to /<<PKGBUILDDIR>>/examples/executed/statespace_local_linear_trend.ipynb
> Converting /<<PKGBUILDDIR>>/examples/executed/statespace_local_linear_trend.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/statespace_local_linear_trend.html
> Executeing /<<PKGBUILDDIR>>/examples/notebooks/tsa_arma_0.ipynb to /<<PKGBUILDDIR>>/examples/executed/tsa_arma_0.ipynb
> Converting /<<PKGBUILDDIR>>/examples/executed/tsa_arma_0.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/tsa_arma_0.html
> Executeing /<<PKGBUILDDIR>>/examples/notebooks/glm.ipynb to /<<PKGBUILDDIR>>/examples/executed/glm.ipynb
> Converting /<<PKGBUILDDIR>>/examples/executed/glm.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/glm.html
> Executeing /<<PKGBUILDDIR>>/examples/notebooks/formulas.ipynb to /<<PKGBUILDDIR>>/examples/executed/formulas.ipynb
> Converting /<<PKGBUILDDIR>>/examples/executed/formulas.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/formulas.html
> Executeing /<<PKGBUILDDIR>>/examples/notebooks/tsa_arma_1.ipynb to /<<PKGBUILDDIR>>/examples/executed/tsa_arma_1.ipynb
> Converting /<<PKGBUILDDIR>>/examples/executed/tsa_arma_1.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/tsa_arma_1.html
> Executeing /<<PKGBUILDDIR>>/examples/notebooks/statespace_sarimax_internet.ipynb to /<<PKGBUILDDIR>>/examples/executed/statespace_sarimax_internet.ipynb
> Converting /<<PKGBUILDDIR>>/examples/executed/statespace_sarimax_internet.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/statespace_sarimax_internet.html
> Executeing /<<PKGBUILDDIR>>/examples/notebooks/interactions_anova.ipynb to /<<PKGBUILDDIR>>/examples/executed/interactions_anova.ipynb
> Converting /<<PKGBUILDDIR>>/examples/executed/interactions_anova.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/interactions_anova.html
> Executeing /<<PKGBUILDDIR>>/examples/notebooks/markov_regression.ipynb to /<<PKGBUILDDIR>>/examples/executed/markov_regression.ipynb
> Converting /<<PKGBUILDDIR>>/examples/executed/markov_regression.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/markov_regression.html
> Executeing /<<PKGBUILDDIR>>/examples/notebooks/robust_models_1.ipynb to /<<PKGBUILDDIR>>/examples/executed/robust_models_1.ipynb
> Converting /<<PKGBUILDDIR>>/examples/executed/robust_models_1.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/robust_models_1.html
> Executeing /<<PKGBUILDDIR>>/examples/notebooks/generic_mle.ipynb to /<<PKGBUILDDIR>>/examples/executed/generic_mle.ipynb
> Converting /<<PKGBUILDDIR>>/examples/executed/generic_mle.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/generic_mle.html
> Executeing /<<PKGBUILDDIR>>/examples/notebooks/glm_formula.ipynb to /<<PKGBUILDDIR>>/examples/executed/glm_formula.ipynb
> Converting /<<PKGBUILDDIR>>/examples/executed/glm_formula.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/glm_formula.html
> Executeing /<<PKGBUILDDIR>>/examples/notebooks/statespace_varmax.ipynb to /<<PKGBUILDDIR>>/examples/executed/statespace_varmax.ipynb
> Converting /<<PKGBUILDDIR>>/examples/executed/statespace_varmax.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/statespace_varmax.html
> Executeing /<<PKGBUILDDIR>>/examples/notebooks/quantile_regression.ipynb to /<<PKGBUILDDIR>>/examples/executed/quantile_regression.ipynb
> Converting /<<PKGBUILDDIR>>/examples/executed/quantile_regression.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/quantile_regression.html
> Executeing /<<PKGBUILDDIR>>/examples/notebooks/statespace_arma_0.ipynb to /<<PKGBUILDDIR>>/examples/executed/statespace_arma_0.ipynb
> Converting /<<PKGBUILDDIR>>/examples/executed/statespace_arma_0.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/statespace_arma_0.html
> Executeing /<<PKGBUILDDIR>>/examples/notebooks/statespace_structural_harvey_jaeger.ipynb to /<<PKGBUILDDIR>>/examples/executed/statespace_structural_harvey_jaeger.ipynb
> Converting /<<PKGBUILDDIR>>/examples/executed/statespace_structural_harvey_jaeger.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/statespace_structural_harvey_jaeger.html
> Executeing /<<PKGBUILDDIR>>/examples/notebooks/discrete_choice_overview.ipynb to /<<PKGBUILDDIR>>/examples/executed/discrete_choice_overview.ipynb
> Converting /<<PKGBUILDDIR>>/examples/executed/discrete_choice_overview.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/discrete_choice_overview.html
> Executeing /<<PKGBUILDDIR>>/examples/notebooks/ols.ipynb to /<<PKGBUILDDIR>>/examples/executed/ols.ipynb
> Converting /<<PKGBUILDDIR>>/examples/executed/ols.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/ols.html
> Executeing /<<PKGBUILDDIR>>/examples/notebooks/plots_boxplots.ipynb to /<<PKGBUILDDIR>>/examples/executed/plots_boxplots.ipynb
> Converting /<<PKGBUILDDIR>>/examples/executed/plots_boxplots.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/plots_boxplots.html
> Executeing /<<PKGBUILDDIR>>/examples/notebooks/statespace_dfm_coincident.ipynb to /<<PKGBUILDDIR>>/examples/executed/statespace_dfm_coincident.ipynb
> Converting /<<PKGBUILDDIR>>/examples/executed/statespace_dfm_coincident.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/statespace_dfm_coincident.html
> Executeing /<<PKGBUILDDIR>>/examples/notebooks/categorical_interaction_plot.ipynb to /<<PKGBUILDDIR>>/examples/executed/categorical_interaction_plot.ipynb
> Converting /<<PKGBUILDDIR>>/examples/executed/categorical_interaction_plot.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/categorical_interaction_plot.html
> Executeing /<<PKGBUILDDIR>>/examples/notebooks/chi2_fitting.ipynb to /<<PKGBUILDDIR>>/examples/executed/chi2_fitting.ipynb
> Converting /<<PKGBUILDDIR>>/examples/executed/chi2_fitting.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/chi2_fitting.html
> Executeing /<<PKGBUILDDIR>>/examples/notebooks/discrete_choice_example.ipynb to /<<PKGBUILDDIR>>/examples/executed/discrete_choice_example.ipynb
> Converting /<<PKGBUILDDIR>>/examples/executed/discrete_choice_example.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/discrete_choice_example.html
> Executeing /<<PKGBUILDDIR>>/examples/notebooks/markov_autoregression.ipynb to /<<PKGBUILDDIR>>/examples/executed/markov_autoregression.ipynb
> Converting /<<PKGBUILDDIR>>/examples/executed/markov_autoregression.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/markov_autoregression.html
> Executeing /<<PKGBUILDDIR>>/examples/notebooks/contrasts.ipynb to /<<PKGBUILDDIR>>/examples/executed/contrasts.ipynb
> Converting /<<PKGBUILDDIR>>/examples/executed/contrasts.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/contrasts.html
> Executeing /<<PKGBUILDDIR>>/examples/notebooks/wls.ipynb to /<<PKGBUILDDIR>>/examples/executed/wls.ipynb
> Converting /<<PKGBUILDDIR>>/examples/executed/wls.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/wls.html
> Executeing /<<PKGBUILDDIR>>/examples/notebooks/mixed_lm_example.ipynb to /<<PKGBUILDDIR>>/examples/executed/mixed_lm_example.ipynb
> Converting /<<PKGBUILDDIR>>/examples/executed/mixed_lm_example.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/mixed_lm_example.html
> Executeing /<<PKGBUILDDIR>>/examples/notebooks/robust_models_0.ipynb to /<<PKGBUILDDIR>>/examples/executed/robust_models_0.ipynb
> Converting /<<PKGBUILDDIR>>/examples/executed/robust_models_0.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/robust_models_0.html
> Executeing /<<PKGBUILDDIR>>/examples/notebooks/kernel_density.ipynb to /<<PKGBUILDDIR>>/examples/executed/kernel_density.ipynb
> Converting /<<PKGBUILDDIR>>/examples/executed/kernel_density.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/kernel_density.html
> Executeing /<<PKGBUILDDIR>>/examples/notebooks/regression_plots.ipynb to /<<PKGBUILDDIR>>/examples/executed/regression_plots.ipynb
> Converting /<<PKGBUILDDIR>>/examples/executed/regression_plots.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/regression_plots.html
> Finished /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/statespace_sarimax_stata.html
> Finished /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/statespace_arma_0.html
> Finished /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/gls.html
> Finished /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/statespace_structural_harvey_jaeger.html
> Finished /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/tsa_filters.html
> Finished /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/discrete_choice_overview.html
> Finished /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/recursive_ls.html
> Finished /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/ols.html
> Finished /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/plots_boxplots.html
> Finished /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/predict.html
> Finished /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/pca_fertility_factors.html
> Finished /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/tsa_dates.html
> Finished /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/statespace_dfm_coincident.html
> Finished /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/regression_diagnostics.html
> Finished /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/categorical_interaction_plot.html
> Finished /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/statespace_cycles.html
> Finished /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/chi2_fitting.html
> Finished /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/statespace_local_linear_trend.html
> Finished /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/discrete_choice_example.html
> Finished /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/tsa_arma_0.html
> Finished /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/markov_autoregression.html
> Finished /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/glm.html
> Finished /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/contrasts.html
> Finished /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/formulas.html
> Finished /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/wls.html
> Finished /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/tsa_arma_1.html
> Finished /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/mixed_lm_example.html
> Finished /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/statespace_sarimax_internet.html
> Finished /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/interactions_anova.html
> Finished /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/markov_regression.html
> Finished /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/robust_models_1.html
> Finished /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/generic_mle.html
> Finished /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/robust_models_0.html
> Finished /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/glm_formula.html
> Finished /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/kernel_density.html
> Finished /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/statespace_varmax.html
> Finished /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/quantile_regression.html
> Finished /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/regression_plots.html
> Running sphinx-build
> sphinx-build -b html -d build/doctrees   source build/html
> Running Sphinx v1.7.9
> WARNING: sphinx.ext.pngmath has been deprecated. Please use sphinx.ext.imgmath instead.
> 
> Extension error:
> Could not import extension matplotlib.sphinxext.only_directives (exception: No module named 'matplotlib.sphinxext.only_directives')
> make[2]: *** [Makefile:72: html] Error 2

The full build log is available from:
   http://aws-logs.debian.net/2018/12/29/statsmodels_0.8.0-7_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.



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