Source: statsmodels
Version: 0.8.0-6
Severity: serious
Tags: buster sid
User: debian...@lists.debian.org
Usertags: qa-ftbfs-20171030 qa-ftbfs
Justification: FTBFS on amd64
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/pythonX.Y_3.6/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
> Traceback (most recent call last):
> File "/usr/lib/python3.6/runpy.py", line 193, in _run_module_as_main
> "__main__", mod_spec)
> File "/usr/lib/python3.6/runpy.py", line 85, in _run_code
> exec(code, run_globals)
> File "/usr/lib/python3/dist-packages/ipykernel_launcher.py", line 16, in
> <module>
> app.launch_new_instance()
> File "/usr/lib/python3/dist-packages/traitlets/config/application.py", line
> 657, in launch_instance
> app.initialize(argv)
> File "<decorator-gen-121>", line 2, in initialize
> File "/usr/lib/python3/dist-packages/traitlets/config/application.py", line
> 87, in catch_config_error
> return method(app, *args, **kwargs)
> File "/usr/lib/python3/dist-packages/ipykernel/kernelapp.py", line 448, in
> initialize
> self.init_sockets()
> File "/usr/lib/python3/dist-packages/ipykernel/kernelapp.py", line 251, in
> init_sockets
> self.init_iopub(context)
> File "/usr/lib/python3/dist-packages/ipykernel/kernelapp.py", line 256, in
> init_iopub
> self.iopub_port = self._bind_socket(self.iopub_socket, self.iopub_port)
> File "/usr/lib/python3/dist-packages/ipykernel/kernelapp.py", line 180, in
> _bind_socket
> s.bind("tcp://%s:%i" % (self.ip, port))
> File "zmq/backend/cython/socket.pyx", line 495, in
> zmq.backend.cython.socket.Socket.bind (zmq/backend/cython/socket.c:5662)
> File "zmq/backend/cython/checkrc.pxd", line 25, in
> zmq.backend.cython.checkrc._check_rc (zmq/backend/cython/socket.c:8400)
> zmq.error.ZMQError: Address already in use
> 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|= 2.53753D-04
>
> At iterate 10 f= 4.23080D+00 |proj g|= 3.50830D-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 18 1 0 0 0.000D+00 4.231D+00
> F = 4.2308031360255534
>
> 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 = 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|= 4.05725D-04
> 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|= 1.77733D-03
>
> At iterate 10 f= 4.23081D+00 |proj g|= 1.30108D-04
>
> At iterate 5 f= 4.22236D+00 |proj g|= 1.28697D-04
>
> At iterate 15 f= 4.23080D+00 |proj g|= 1.31690D-03
>
> At iterate 10 f= 4.22234D+00 |proj g|= 9.63318D-04
>
> * * *
>
> 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 = 4.2308031361514580
>
> 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.
>
>
> At iterate 15 f= 4.22234D+00 |proj g|= 1.24345D-06
>
> * * *
>
> 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 18 44 1 0 0 2.665D-07 4.222D+00
> F = 4.2223359687691975
>
> CONVERGENCE: REL_REDUCTION_OF_F_<=_FACTR*EPSMCH
>
> Warning: more than 10 function and gradient
> evaluations in the last line search. Termination
> may possibly be caused by a bad search direction.
>
> 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|= 2.92746D-04
>
> At iterate 10 f= 4.22235D+00 |proj g|= 2.35957D-04
>
> At iterate 15 f= 4.22234D+00 |proj g|= 1.81117D-03
>
> At iterate 20 f= 4.22234D+00 |proj g|= 4.49940D-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 4.499D-05 4.222D+00
> F = 4.2223359703285395
>
> 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|= 8.52896D-03
>
> At iterate 5 f= 2.46684D+00 |proj g|= 7.00551D-04
>
> At iterate 10 f= 2.46684D+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 10 12 1 0 0 0.000D+00 2.467D+00
> F = 2.4668361847171627
>
> 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 = 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|= 5.40932D-03
>
> At iterate 10 f= 2.31191D+00 |proj g|= 4.70379D-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 16 18 1 0 0 4.441D-08 2.312D+00
> F = 2.3119057684973705
>
> 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/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/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/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/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/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/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/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/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
> 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/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/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/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/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/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/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/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/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/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/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/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/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/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/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/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/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/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/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/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/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/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/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/tsa_dates.ipynb to
> /<<PKGBUILDDIR>>/examples/executed/tsa_dates.ipynb
> 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/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
> concurrent.futures.process._RemoteTraceback:
> """
> Traceback (most recent call last):
> File "/usr/lib/python3.6/concurrent/futures/process.py", line 175, in
> _process_worker
> r = call_item.fn(*call_item.args, **call_item.kwargs)
> File "/usr/lib/python3.6/concurrent/futures/process.py", line 153, in
> _process_chunk
> return [fn(*args) for args in chunk]
> File "/usr/lib/python3.6/concurrent/futures/process.py", line 153, in
> <listcomp>
> return [fn(*args) for args in chunk]
> File "../tools/nbgenerate.py", line 97, in do_one
> kernel_name=kernel_name)
> File "../tools/nbgenerate.py", line 55, in execute_nb
> ep.preprocess(nb, {'metadta': {'path': 'notebooks/'}})
> File "/usr/lib/python3/dist-packages/nbconvert/preprocessors/execute.py",
> line 257, in preprocess
> cwd=path)
> File "/usr/lib/python3/dist-packages/nbconvert/preprocessors/execute.py",
> line 241, in start_new_kernel
> kc.wait_for_ready(timeout=startup_timeout)
> File "/usr/lib/python3/dist-packages/jupyter_client/blocking/client.py",
> line 120, in wait_for_ready
> raise RuntimeError('Kernel died before replying to kernel_info')
> RuntimeError: Kernel died before replying to kernel_info
> """
>
> The above exception was the direct cause of the following exception:
>
> Traceback (most recent call last):
> File "../tools/nbgenerate.py", line 165, in <module>
> main()
> File "../tools/nbgenerate.py", line 162, in main
> kernel_name=args.kernel_name)
> File "../tools/nbgenerate.py", line 123, in do
> for dst in pool.map(func, nbs):
> File "/usr/lib/python3.6/concurrent/futures/process.py", line 366, in
> _chain_from_iterable_of_lists
> for element in iterable:
> File "/usr/lib/python3.6/concurrent/futures/_base.py", line 586, in
> result_iterator
> yield fs.pop().result()
> File "/usr/lib/python3.6/concurrent/futures/_base.py", line 432, in result
> return self.__get_result()
> File "/usr/lib/python3.6/concurrent/futures/_base.py", line 384, in
> __get_result
> raise self._exception
> RuntimeError: Kernel died before replying to kernel_info
> Makefile:62: recipe for target 'html' failed
> make[2]: *** [html] Error 1
The full build log is available from:
http://aws-logs.debian.net/2017/10/30/statsmodels_0.8.0-6_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.
