Your message dated Fri, 07 Jan 2022 08:33:45 +0000
with message-id <e1n5kgz-00020q...@fasolo.debian.org>
and subject line Bug#999541: fixed in astroml 1.0.2~a1-1
has caused the Debian Bug report #999541,
regarding astroml: FTBFS with matplotlib 3.5 (in experimental): dh_auto_test: 
error: pybuild --test --test-pytest -i python{version} -p 3.9 returned exit 
code 13
to be marked as done.

This means that you claim that the problem has been dealt with.
If this is not the case it is now your responsibility to reopen the
Bug report if necessary, and/or fix the problem forthwith.

(NB: If you are a system administrator and have no idea what this
message is talking about, this may indicate a serious mail system
misconfiguration somewhere. Please contact ow...@bugs.debian.org
immediately.)


-- 
999541: https://bugs.debian.org/cgi-bin/bugreport.cgi?bug=999541
Debian Bug Tracking System
Contact ow...@bugs.debian.org with problems
--- Begin Message ---
Source: astroml
Version: 0.4.post1-6
Severity: important
Justification: FTBFS
Tags: bookworm sid ftbfs
User: lu...@debian.org
Usertags: ftbfs-matplotlib35

Hi,

During a rebuild of all packages in sid, your package failed to build
on amd64, using matplotlib 3.5 currently in experimental. This version
will soon be uploaded to unstable.

If you have questions about this, please contact Sandro Tosi
<mo...@debian.org>.

Relevant part (hopefully):
>  debian/rules build
> dh build --with python3 --buildsystem=pybuild
>    dh_update_autotools_config -O--buildsystem=pybuild
>    dh_autoreconf -O--buildsystem=pybuild
>    dh_auto_configure -O--buildsystem=pybuild
> I: pybuild base:232: python3.9 setup.py config 
> /usr/lib/python3.9/distutils/dist.py:274: UserWarning: Unknown distribution 
> option: 'install_requires'
>   warnings.warn(msg)
> running config
>    dh_auto_build -O--buildsystem=pybuild
> I: pybuild base:232: /usr/bin/python3 setup.py build 
> /usr/lib/python3.9/distutils/dist.py:274: UserWarning: Unknown distribution 
> option: 'install_requires'
>   warnings.warn(msg)
> running build
> running build_py
> creating /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML
> copying astroML/lumfunc.py -> 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML
> copying astroML/__init__.py -> 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML
> copying astroML/decorators.py -> 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML
> copying astroML/fourier.py -> 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML
> copying astroML/sum_of_norms.py -> 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML
> copying astroML/py3k_compat.py -> 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML
> copying astroML/crossmatch.py -> 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML
> copying astroML/conftest.py -> 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML
> copying astroML/cosmology.py -> 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML
> copying astroML/resample.py -> 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML
> copying astroML/correlation.py -> 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML
> copying astroML/filters.py -> 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML
> creating /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/tests
> copying astroML/tests/__init__.py -> 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/tests
> copying astroML/tests/test_fourier.py -> 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/tests
> copying astroML/tests/test_filters.py -> 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/tests
> copying astroML/tests/test_resample.py -> 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/tests
> creating 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/clustering
> copying astroML/clustering/mst_clustering.py -> 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/clustering
> copying astroML/clustering/__init__.py -> 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/clustering
> creating 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/clustering/tests
> copying astroML/clustering/tests/__init__.py -> 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/clustering/tests
> copying astroML/clustering/tests/test_MST_clustering.py -> 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/clustering/tests
> creating 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/classification
> copying astroML/classification/__init__.py -> 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/classification
> copying astroML/classification/gmm_bayes.py -> 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/classification
> creating 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/classification/tests
> copying astroML/classification/tests/__init__.py -> 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/classification/tests
> copying astroML/classification/tests/test_gmm_bayes.py -> 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/classification/tests
> creating 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/linear_model
> copying astroML/linear_model/TLS.py -> 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/linear_model
> copying astroML/linear_model/__init__.py -> 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/linear_model
> copying astroML/linear_model/kernel_regression.py -> 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/linear_model
> copying astroML/linear_model/linear_regression.py -> 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/linear_model
> creating 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/linear_model/tests
> copying astroML/linear_model/tests/__init__.py -> 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/linear_model/tests
> copying astroML/linear_model/tests/test_TLS.py -> 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/linear_model/tests
> copying astroML/linear_model/tests/test_linear_regression.py -> 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/linear_model/tests
> copying astroML/linear_model/tests/test_kernel_regression.py -> 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/linear_model/tests
> creating /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/datasets
> copying astroML/datasets/sdss_sspp.py -> 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/datasets
> copying astroML/datasets/sdss_corrected_spectra.py -> 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/datasets
> copying astroML/datasets/nasa_atlas.py -> 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/datasets
> copying astroML/datasets/moving_objects.py -> 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/datasets
> copying astroML/datasets/wmap_temperatures.py -> 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/datasets
> copying astroML/datasets/__init__.py -> 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/datasets
> copying astroML/datasets/dr7_quasar.py -> 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/datasets
> copying astroML/datasets/sdss_galaxy_colors.py -> 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/datasets
> copying astroML/datasets/sdss_S82standards.py -> 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/datasets
> copying astroML/datasets/sdss_spectrum.py -> 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/datasets
> copying astroML/datasets/LIGO_bigdog.py -> 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/datasets
> copying astroML/datasets/imaging_sample.py -> 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/datasets
> copying astroML/datasets/sdss_filters.py -> 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/datasets
> copying astroML/datasets/generated.py -> 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/datasets
> copying astroML/datasets/rrlyrae_mags.py -> 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/datasets
> copying astroML/datasets/hogg2010test.py -> 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/datasets
> copying astroML/datasets/sdss_specgals.py -> 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/datasets
> copying astroML/datasets/rrlyrae_templates.py -> 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/datasets
> copying astroML/datasets/LINEAR_sample.py -> 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/datasets
> creating 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/datasets/tools
> copying astroML/datasets/tools/download.py -> 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/datasets/tools
> copying astroML/datasets/tools/__init__.py -> 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/datasets/tools
> copying astroML/datasets/tools/cas_query.py -> 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/datasets/tools
> copying astroML/datasets/tools/sdss_fits.py -> 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/datasets/tools
> copying astroML/datasets/tools/sql_query.py -> 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/datasets/tools
> creating 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/density_estimation
> copying astroML/density_estimation/gauss_mixture.py -> 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/density_estimation
> copying astroML/density_estimation/__init__.py -> 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/density_estimation
> copying astroML/density_estimation/bayesian_blocks.py -> 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/density_estimation
> copying astroML/density_estimation/histtools.py -> 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/density_estimation
> copying astroML/density_estimation/density_estimation.py -> 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/density_estimation
> copying astroML/density_estimation/xdeconv.py -> 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/density_estimation
> copying astroML/density_estimation/empirical.py -> 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/density_estimation
> creating 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/density_estimation/tests
> copying astroML/density_estimation/tests/test_empirical.py -> 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/density_estimation/tests
> copying astroML/density_estimation/tests/test_bayesian_blocks.py -> 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/density_estimation/tests
> copying astroML/density_estimation/tests/__init__.py -> 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/density_estimation/tests
> copying astroML/density_estimation/tests/test_hist_binwidth.py -> 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/density_estimation/tests
> copying astroML/density_estimation/tests/test_density.py -> 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/density_estimation/tests
> copying astroML/density_estimation/tests/test_xdeconv.py -> 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/density_estimation/tests
> creating 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/time_series
> copying astroML/time_series/periodogram.py -> 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/time_series
> copying astroML/time_series/__init__.py -> 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/time_series
> copying astroML/time_series/ACF.py -> 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/time_series
> copying astroML/time_series/generate.py -> 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/time_series
> creating 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/time_series/tests
> copying astroML/time_series/tests/__init__.py -> 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/time_series/tests
> copying astroML/time_series/tests/test_periodogram.py -> 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/time_series/tests
> copying astroML/time_series/tests/test_generate.py -> 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/time_series/tests
> creating 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/dimensionality
> copying astroML/dimensionality/__init__.py -> 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/dimensionality
> copying astroML/dimensionality/iterative_pca.py -> 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/dimensionality
> creating 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/dimensionality/tests
> copying astroML/dimensionality/tests/__init__.py -> 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/dimensionality/tests
> copying astroML/dimensionality/tests/test_iterative_PCA.py -> 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/dimensionality/tests
> creating /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/plotting
> copying astroML/plotting/mcmc.py -> 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/plotting
> copying astroML/plotting/__init__.py -> 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/plotting
> copying astroML/plotting/multiaxes.py -> 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/plotting
> copying astroML/plotting/ellipse.py -> 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/plotting
> copying astroML/plotting/hist_tools.py -> 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/plotting
> copying astroML/plotting/scatter_contour.py -> 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/plotting
> copying astroML/plotting/settings.py -> 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/plotting
> copying astroML/plotting/tools.py -> 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/plotting
> creating 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/plotting/tests
> copying astroML/plotting/tests/test_devectorize.py -> 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/plotting/tests
> copying astroML/plotting/tests/__init__.py -> 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/plotting/tests
> creating /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/stats
> copying astroML/stats/_binned_statistic.py -> 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/stats
> copying astroML/stats/__init__.py -> 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/stats
> copying astroML/stats/_point_statistics.py -> 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/stats
> copying astroML/stats/random.py -> 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/stats
> creating 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/stats/tests
> copying astroML/stats/tests/__init__.py -> 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/stats/tests
> copying astroML/stats/tests/test_stats.py -> 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/stats/tests
> copying astroML/stats/tests/test_binned_statistic.py -> 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/stats/tests
> creating /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/utils
> copying astroML/utils/__init__.py -> 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/utils
> copying astroML/utils/decorators.py -> 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/utils
> copying astroML/utils/exceptions.py -> 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/utils
> copying astroML/utils/utils.py -> 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/utils
> creating 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/utils/tests
> copying astroML/utils/tests/__init__.py -> 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/utils/tests
> copying astroML/utils/tests/test_utils.py -> 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/utils/tests
> copying astroML/utils/tests/test_pickle_results.py -> 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/utils/tests
>    dh_auto_test -O--buildsystem=pybuild
> I: pybuild base:232: cd /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build; 
> python3.9 -m pytest 
> ============================= test session starts 
> ==============================
> platform linux -- Python 3.9.7, pytest-6.2.5, py-1.10.0, pluggy-0.13.0
> rootdir: /<<PKGBUILDDIR>>, configfile: setup.cfg
> plugins: openfiles-0.5.0, mock-3.6.1, filter-subpackage-0.1.1, 
> astropy-header-0.1.2, cov-3.0.0, doctestplus-0.11.0, hypothesis-5.43.3, 
> arraydiff-0.3, remotedata-0.3.2
> collected 209 items
> 
> astroML/filters.py .                                                     [  
> 0%]
> astroML/classification/tests/test_gmm_bayes.py ..                        [  
> 1%]
> astroML/clustering/tests/test_MST_clustering.py ...                      [  
> 2%]
> astroML/datasets/LIGO_bigdog.py .                                        [  
> 3%]
> astroML/datasets/LINEAR_sample.py s                                      [  
> 3%]
> astroML/datasets/dr7_quasar.py .                                         [  
> 4%]
> astroML/datasets/imaging_sample.py .                                     [  
> 4%]
> astroML/datasets/moving_objects.py .                                     [  
> 5%]
> astroML/datasets/rrlyrae_mags.py .                                       [  
> 5%]
> astroML/datasets/sdss_S82standards.py s                                  [  
> 6%]
> astroML/datasets/sdss_specgals.py .                                      [  
> 6%]
> astroML/datasets/sdss_sspp.py .                                          [  
> 7%]
> astroML/density_estimation/bayesian_blocks.py .                          [  
> 7%]
> astroML/density_estimation/empirical.py .                                [  
> 8%]
> astroML/density_estimation/tests/test_bayesian_blocks.py .....           [ 
> 10%]
> astroML/density_estimation/tests/test_density.py ...                     [ 
> 11%]
> astroML/density_estimation/tests/test_empirical.py ..                    [ 
> 12%]
> astroML/density_estimation/tests/test_hist_binwidth.py ....              [ 
> 14%]
> astroML/density_estimation/tests/test_xdeconv.py ....                    [ 
> 16%]
> astroML/dimensionality/tests/test_iterative_PCA.py .                     [ 
> 17%]
> astroML/linear_model/tests/test_TLS.py .                                 [ 
> 17%]
> astroML/linear_model/tests/test_kernel_regression.py .                   [ 
> 18%]
> astroML/linear_model/tests/test_linear_regression.py .......             [ 
> 21%]
> astroML/plotting/tools.py F.                                             [ 
> 22%]
> astroML/plotting/tests/test_devectorize.py F                             [ 
> 22%]
> astroML/stats/_binned_statistic.py .                                     [ 
> 23%]
> astroML/stats/tests/test_binned_statistic.py ............                [ 
> 29%]
> astroML/stats/tests/test_stats.py .....................................  [ 
> 46%]
> astroML/tests/test_filters.py ....                                       [ 
> 48%]
> astroML/tests/test_fourier.py .......................................... [ 
> 68%]
> ...........................................                              [ 
> 89%]
> astroML/tests/test_resample.py .......                                   [ 
> 92%]
> astroML/time_series/tests/test_generate.py .....                         [ 
> 95%]
> astroML/time_series/tests/test_periodogram.py .                          [ 
> 95%]
> astroML/utils/decorators.py .                                            [ 
> 96%]
> astroML/utils/utils.py ..                                                [ 
> 97%]
> astroML/utils/tests/test_pickle_results.py .                             [ 
> 97%]
> astroML/utils/tests/test_utils.py .....                                  
> [100%]
> 
> =================================== FAILURES 
> ===================================
> ______________ [doctest] astroML.plotting.tools.devectorize_axes 
> _______________
> 035     --------
> 036     The code can be used in the following way::
> 037 
> 038     >>> import matplotlib.pyplot as plt
> 039     >>> import numpy as np
> 040     >>> from astroML.plotting.tools import devectorize_axes
> 041     >>> fig, ax = plt.subplots()
> 042     >>> x, y = np.random.random((2, 10000))
> 043     >>> ax.scatter(x, y)   # doctest: +IGNORE_OUTPUT
> 044     >>> devectorize_axes(ax)   # doctest: +IGNORE_OUTPUT
> UNEXPECTED EXCEPTION: AttributeError("can't set attribute")
> Traceback (most recent call last):
>   File "/usr/lib/python3.9/doctest.py", line 1336, in __run
>     exec(compile(example.source, filename, "single",
>   File "<doctest astroML.plotting.tools.devectorize_axes[6]>", line 1, in 
> <module>
>   File 
> "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/plotting/tools.py",
>  line 81, in devectorize_axes
>     ax.lines = []
> AttributeError: can't set attribute
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/plotting/tools.py:44:
>  UnexpectedException
> ____________________________ test_devectorize_axes 
> _____________________________
> 
>     def test_devectorize_axes():
>         np.random.seed(0)
>     
>         x, y = np.random.random((2, 1000))
>     
>         # save vectorized version
>         fig = plt.figure()
>         ax = fig.add_subplot(111)
>         ax.scatter(x, y)
>         output = BytesIO()
>         fig.savefig(output)
>         output.seek(0)
>         im1 = image.imread(output)
>         plt.close()
>     
>         # save devectorized version
>         fig = plt.figure()
>         ax = fig.add_subplot(111)
>         ax.scatter(x, y)
> >       devectorize_axes(ax, dpi=200)
> 
> astroML/plotting/tests/test_devectorize.py:32: 
> _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
> _ 
> 
> ax = <AxesSubplot:>, dpi = 200, transparent = True
> 
>     def devectorize_axes(ax=None, dpi=None, transparent=True):
>         """Convert axes contents to a png.
>     
>         This is useful when plotting many points, as the size of the saved 
> file
>         can become very large otherwise.
>     
>         Parameters
>         ----------
>         ax : Axes instance (optional)
>             Axes to de-vectorize.  If None, this uses the current active axes
>             (plt.gca())
>         dpi: int (optional)
>             resolution of the png image.  If not specified, the default from
>             'savefig.dpi' in rcParams will be used
>         transparent : bool (optional)
>             if True (default) then the PNG will be made transparent
>     
>         Returns
>         -------
>         ax : Axes instance
>             the in-place modified Axes instance
>     
>         Examples
>         --------
>         The code can be used in the following way::
>     
>         >>> import matplotlib.pyplot as plt
>         >>> import numpy as np
>         >>> from astroML.plotting.tools import devectorize_axes
>         >>> fig, ax = plt.subplots()
>         >>> x, y = np.random.random((2, 10000))
>         >>> ax.scatter(x, y)   # doctest: +IGNORE_OUTPUT
>         >>> devectorize_axes(ax)   # doctest: +IGNORE_OUTPUT
>     
>         The resulting figure will be much smaller than the vectorized version.
>         """
>         if ax is None:
>             ax = plt.gca()
>     
>         fig = ax.figure
>         axlim = ax.axis()
>     
>         # setup: make all visible spines (axes & ticks) & text invisible
>         # we need to set these back later, so we save their current state
>         _sp = {}
>         _txt_vis = [t.get_visible() for t in ax.texts]
>         for k in ax.spines:
>             _sp[k] = ax.spines[k].get_visible()
>             ax.spines[k].set_visible(False)
>         for t in ax.texts:
>             t.set_visible(False)
>     
>         _xax = ax.xaxis.get_visible()
>         _yax = ax.yaxis.get_visible()
>         _patch = ax.patch.get_visible()
>         ax.patch.set_visible(False)
>         ax.xaxis.set_visible(False)
>         ax.yaxis.set_visible(False)
>     
>         # convert canvas to PNG
>         extents = ax.bbox.extents / fig.dpi
>         output = BytesIO()
>         plt.savefig(output, format='png', dpi=dpi,
>                     transparent=transparent,
>                     bbox_inches=Bbox([extents[:2], extents[2:]]))
>         output.seek(0)
>         im = image.imread(output)
>     
>         # clear everything on axis (but not text)
> >       ax.lines = []
> E       AttributeError: can't set attribute
> 
> astroML/plotting/tools.py:81: AttributeError
> =============================== warnings summary 
> ===============================
> ../../../../../../usr/lib/python3/dist-packages/_pytest/config/__init__.py:1233
>   /usr/lib/python3/dist-packages/_pytest/config/__init__.py:1233: 
> PytestConfigWarning: Unknown config option: testspaths
>   
>     self._warn_or_fail_if_strict(f"Unknown config option: {key}\n")
> 
> astroML/decorators.py:7
>   
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/decorators.py:7: 
> AstroMLDeprecationWarning: 'decorators' has been moved to 'astroML.utils' and 
> will be removed from the main namespace in the future.
>     warnings.warn("'decorators' has been moved to 'astroML.utils' and will be 
> "
> 
> astroML/fourier.py:13
>   /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/fourier.py:13: 
> DeprecationWarning: invalid escape sequence \i
>     """Approximate a continuous 1D Fourier Transform with sampled data.
> 
> astroML/fourier.py:136
>   
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/fourier.py:136: 
> DeprecationWarning: invalid escape sequence \i
>     """Approximate a continuous 1D Power Spectral Density of sampled data.
> 
> .pybuild/cpython3_3.9_astroml/build/astroML/density_estimation/bayesian_blocks.py::astroML.density_estimation.bayesian_blocks.bayesian_blocks
>   <doctest astroML.density_estimation.bayesian_blocks.bayesian_blocks[1]>:1: 
> AstroMLDeprecationWarning: The bayesian_blocks function is deprecated and may 
> be removed in a future version.
>           Use astropy.stats.bayesian_blocks instead.
> 
> .pybuild/cpython3_3.9_astroml/build/astroML/density_estimation/bayesian_blocks.py::astroML.density_estimation.bayesian_blocks.bayesian_blocks
>   
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/density_estimation/bayesian_blocks.py:263:
>  AstroMLDeprecationWarning: The Events class is deprecated and may be removed 
> in a future version.
>           Use astropy.stats.Events instead.
>     fitfunc = Events(**kwargs)
> 
> .pybuild/cpython3_3.9_astroml/build/astroML/density_estimation/bayesian_blocks.py::astroML.density_estimation.bayesian_blocks.bayesian_blocks
>   /usr/lib/python3/dist-packages/astropy/utils/decorators.py:125: 
> AstroMLDeprecationWarning: The FitnessFunc class is deprecated and may be 
> removed in a future version.
>           Use astropy.stats.FitnessFunc instead.
>     return func(*args, **kwargs)
> 
> .pybuild/cpython3_3.9_astroml/build/astroML/density_estimation/bayesian_blocks.py::astroML.density_estimation.bayesian_blocks.bayesian_blocks
>   
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/density_estimation/bayesian_blocks.py:267:
>  AstroMLDeprecationWarning: The RegularEvents class is deprecated and may be 
> removed in a future version.
>           Use astropy.stats.RegularEvents instead.
>     fitfunc = RegularEvents(**kwargs)
> 
> .pybuild/cpython3_3.9_astroml/build/astroML/density_estimation/bayesian_blocks.py::astroML.density_estimation.bayesian_blocks.bayesian_blocks
>   
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/density_estimation/bayesian_blocks.py:271:
>  AstroMLDeprecationWarning: The PointMeasures class is deprecated and may be 
> removed in a future version.
>           Use astropy.stats.PointMeasures instead.
>     fitfunc = PointMeasures(**kwargs)
> 
> .pybuild/cpython3_3.9_astroml/build/astroML/dimensionality/tests/test_iterative_PCA.py::test_iterative_PCA
>   
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/dimensionality/iterative_pca.py:136:
>  RuntimeWarning: invalid value encountered in true_divide
>     ratio_i = X[i][notM[i]] / X_recons[i][notM[i]]
> 
> .pybuild/cpython3_3.9_astroml/build/astroML/stats/tests/test_binned_statistic.py::test_1d_mean
> .pybuild/cpython3_3.9_astroml/build/astroML/stats/tests/test_binned_statistic.py::test_2d_mean
> .pybuild/cpython3_3.9_astroml/build/astroML/stats/tests/test_binned_statistic.py::test_dd_mean
>   
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/stats/_binned_statistic.py:323:
>  RuntimeWarning: invalid value encountered in true_divide
>     result[a] /= flatcount
> 
> .pybuild/cpython3_3.9_astroml/build/astroML/stats/tests/test_binned_statistic.py::test_1d_mean
> .pybuild/cpython3_3.9_astroml/build/astroML/stats/tests/test_binned_statistic.py::test_1d_median
> .pybuild/cpython3_3.9_astroml/build/astroML/stats/tests/test_binned_statistic.py::test_2d_mean
> .pybuild/cpython3_3.9_astroml/build/astroML/stats/tests/test_binned_statistic.py::test_2d_median
> .pybuild/cpython3_3.9_astroml/build/astroML/stats/tests/test_binned_statistic.py::test_dd_mean
> .pybuild/cpython3_3.9_astroml/build/astroML/stats/tests/test_binned_statistic.py::test_dd_median
>   /usr/lib/python3/dist-packages/numpy/core/fromnumeric.py:3372: 
> RuntimeWarning: Mean of empty slice.
>     return _methods._mean(a, axis=axis, dtype=dtype,
> 
> .pybuild/cpython3_3.9_astroml/build/astroML/stats/tests/test_binned_statistic.py::test_1d_mean
> .pybuild/cpython3_3.9_astroml/build/astroML/stats/tests/test_binned_statistic.py::test_1d_median
> .pybuild/cpython3_3.9_astroml/build/astroML/stats/tests/test_binned_statistic.py::test_2d_mean
> .pybuild/cpython3_3.9_astroml/build/astroML/stats/tests/test_binned_statistic.py::test_2d_median
> .pybuild/cpython3_3.9_astroml/build/astroML/stats/tests/test_binned_statistic.py::test_dd_mean
> .pybuild/cpython3_3.9_astroml/build/astroML/stats/tests/test_binned_statistic.py::test_dd_median
>   /usr/lib/python3/dist-packages/numpy/core/_methods.py:170: RuntimeWarning: 
> invalid value encountered in double_scalars
>     ret = ret.dtype.type(ret / rcount)
> 
> .pybuild/cpython3_3.9_astroml/build/astroML/tests/test_resample.py::test_bootstrap_covar
>   
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/resample.py:44: 
> UserWarning: bootstrap data are n-dimensional: assuming ordered n_samples by 
> n_attributes
>     warnings.warn("bootstrap data are n-dimensional: assuming ordered 
> n_samples by n_attributes")
> 
> .pybuild/cpython3_3.9_astroml/build/astroML/time_series/tests/test_periodogram.py::test_search_frequencies
>   
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/time_series/periodogram.py:277:
>  AstroMLDeprecationWarning: The lomb_scargle function is deprecated and may 
> be removed in a future version.
>           Use astropy.stats.LombScargle instead.
>     power_best = LS_func(t, y, dy, omega_best, **LS_kwargs)
> 
> .pybuild/cpython3_3.9_astroml/build/astroML/time_series/tests/test_periodogram.py::test_search_frequencies
>   /usr/lib/python3/dist-packages/astropy/stats/lombscargle/__init__.py:27: 
> AstropyDeprecationWarning: Importing LombScargle from astropy.stats has been 
> deprecated and will no longer be supported in future. Please import this 
> class from the astropy.timeseries module instead
>     warnings.warn('Importing LombScargle from astropy.stats has been '
> 
> .pybuild/cpython3_3.9_astroml/build/astroML/time_series/tests/test_periodogram.py::test_search_frequencies
>   
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build/astroML/time_series/periodogram.py:296:
>  AstroMLDeprecationWarning: The lomb_scargle function is deprecated and may 
> be removed in a future version.
>           Use astropy.stats.LombScargle instead.
>     power = LS_func(t, y, dy, omega, **LS_kwargs)
> 
> -- Docs: https://docs.pytest.org/en/stable/warnings.html
> =========================== short test summary info 
> ============================
> FAILED astroML/plotting/tools.py::astroML.plotting.tools.devectorize_axes
> FAILED astroML/plotting/tests/test_devectorize.py::test_devectorize_axes - 
> At...
> ============ 2 failed, 205 passed, 2 skipped, 29 warnings in 12.41s 
> ============
> E: pybuild pybuild:354: test: plugin distutils failed with: exit code=1: cd 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_astroml/build; python3.9 -m pytest 
> dh_auto_test: error: pybuild --test --test-pytest -i python{version} -p 3.9 
> returned exit code 13


The full build log is available from:
http://qa-logs.debian.net/http://qa-logs.debian.net/2021/11/numpy-matplotlib/matplotlib-exp/astroml_0.4.post1-6_unstable_matplotlib-exp.log

If you reassign this bug to another package, please marking it as 'affects'-ing
this package. See https://www.debian.org/Bugs/server-control#affects

If you fail to reproduce this, please provide a build log and diff it with mine
so that we can identify if something relevant changed in the meantime.

--- End Message ---
--- Begin Message ---
Source: astroml
Source-Version: 1.0.2~a1-1
Done: Ole Streicher <oleb...@debian.org>

We believe that the bug you reported is fixed in the latest version of
astroml, which is due to be installed in the Debian FTP archive.

A summary of the changes between this version and the previous one is
attached.

Thank you for reporting the bug, which will now be closed.  If you
have further comments please address them to 999...@bugs.debian.org,
and the maintainer will reopen the bug report if appropriate.

Debian distribution maintenance software
pp.
Ole Streicher <oleb...@debian.org> (supplier of updated astroml package)

(This message was generated automatically at their request; if you
believe that there is a problem with it please contact the archive
administrators by mailing ftpmas...@ftp-master.debian.org)


-----BEGIN PGP SIGNED MESSAGE-----
Hash: SHA512

Format: 1.8
Date: Fri, 07 Jan 2022 08:50:47 +0100
Source: astroml
Architecture: source
Version: 1.0.2~a1-1
Distribution: unstable
Urgency: medium
Maintainer: Debian Astronomy Team 
<debian-astro-maintain...@lists.alioth.debian.org>
Changed-By: Ole Streicher <oleb...@debian.org>
Closes: 999541
Changes:
 astroml (1.0.2~a1-1) unstable; urgency=medium
 .
   [ Debian Janitor ]
   * Trim trailing whitespace.
   * Set upstream metadata fields: Bug-Submit, Repository, Repository-Browse.
   * Remove obsolete field Name from debian/upstream/metadata (already present
     in machine-readable debian/copyright).
   * Replace use of deprecated $ADTTMP with $AUTOPKGTEST_TMP.
 .
   [ Ole Streicher ]
   * New upstream version 1.0~a1. Closes: #999541
   * Rediff patches
   * Push Standards-Version to 4.6.0. No changes needed
   * Don't set attributes on matplotlib axes
   * Ignore DeprecationWarnings during tests
   * Remove outdated recommendation pymc
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 593cc07f3f39be04ff54ca20acca338fe8e48e99 114448 astroml_1.0.2~a1.orig.tar.gz
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astroml_1.0.2~a1-1.debian.tar.xz
Files:
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 cc9ca522f84d49886cc2d0d3abe8476e 114448 python optional 
astroml_1.0.2~a1.orig.tar.gz
 254a719328d1fd484cd62459139bdb2d 4168 python optional 
astroml_1.0.2~a1-1.debian.tar.xz

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