Your message dated Mon, 13 Jul 2020 23:39:08 +0000
with message-id <e1jv82o-00079m...@fasolo.debian.org>
and subject line Bug#961606: fixed in python-hug 2.6.0-2
has caused the Debian Bug report #961606,
regarding sklearn-pandas: FTBFS: doctest error
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.)


-- 
961606: https://bugs.debian.org/cgi-bin/bugreport.cgi?bug=961606
Debian Bug Tracking System
Contact ow...@bugs.debian.org with problems
--- Begin Message ---
Source: sklearn-pandas
Version: 1.8.0-1
Severity: grave
Justification: FTBFS
X-Debbugs-CC: m...@cbaines.net feder...@debian.org

Dear Debian sklearn-pandas maintainers,

During a rebuild of your package, I found that your package currently
fails to build from source.


1 items had failures:
   5 of  63 in README.rst
63 tests in 1 items.
58 passed and 5 failed.
***Test Failed*** 5 failures.
E: pybuild pybuild:352: test: plugin distutils failed with: exit
code=1: cd /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_sklearn-pandas/build; 
python3.8 -m pytest ; cd {dir}; python{version} -m doctest -v
README.rst
dh_auto_test: error: pybuild --test --test-pytest -i python{version} -p
3.8 returned exit code 13
make: *** [debian/rules:7: build] Error 25
dpkg-buildpackage: error: debian/rules build subprocess returned exit
status 2


The full buildlog can be found in the attachment.

-- 
Regards,
Boyuan Yang
sbuild (Debian sbuild) 0.79.1 (22 April 2020) on hosiet-vm-home

+==============================================================================+
| sklearn-pandas 1.8.0-1 (amd64)               Tue, 26 May 2020 15:17:20 +0000 |
+==============================================================================+

Package: sklearn-pandas
Version: 1.8.0-1
Source Version: 1.8.0-1
Distribution: unstable
Machine Architecture: amd64
Host Architecture: amd64
Build Architecture: amd64
Build Type: full

I: NOTICE: Log filtering will replace 
'var/run/schroot/mount/unstable-amd64-sbuild-03b399fa-6319-4a5f-82b3-6239d9035e87'
 with '<<CHROOT>>'
I: NOTICE: Log filtering will replace 
'build/sklearn-pandas-9jnbV1/resolver-Zf4TNH' with '<<RESOLVERDIR>>'

+------------------------------------------------------------------------------+
| Update chroot                                                                |
+------------------------------------------------------------------------------+

Hit:1 http://deb.debian.org/debian unstable InRelease
Reading package lists...
Reading package lists...
Building dependency tree...
Reading state information...
Calculating upgrade...
0 upgraded, 0 newly installed, 0 to remove and 0 not upgraded.

+------------------------------------------------------------------------------+
| Fetch source files                                                           |
+------------------------------------------------------------------------------+


Local sources
-------------

/dev/shm/sklearn-pandas_1.8.0-1.dsc exists in /dev/shm; copying to chroot
I: NOTICE: Log filtering will replace 
'build/sklearn-pandas-9jnbV1/sklearn-pandas-1.8.0' with '<<PKGBUILDDIR>>'
I: NOTICE: Log filtering will replace 'build/sklearn-pandas-9jnbV1' with 
'<<BUILDDIR>>'

+------------------------------------------------------------------------------+
| Install package build dependencies                                           |
+------------------------------------------------------------------------------+


Setup apt archive
-----------------

Merged Build-Depends: debhelper-compat (= 12), build-essential, fakeroot, 
dh-python, python3-all, python3-setuptools, python3-mock, python3-pytest, 
python3-numpy, python3-pandas, python3-sklearn
Filtered Build-Depends: debhelper-compat (= 12), build-essential, fakeroot, 
dh-python, python3-all, python3-setuptools, python3-mock, python3-pytest, 
python3-numpy, python3-pandas, python3-sklearn
dpkg-deb: building package 'sbuild-build-depends-main-dummy' in 
'/<<RESOLVERDIR>>/apt_archive/sbuild-build-depends-main-dummy.deb'.
Ign:1 copy:/<<RESOLVERDIR>>/apt_archive ./ InRelease
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Get:5 copy:/<<RESOLVERDIR>>/apt_archive ./ Packages [501 B]
Fetched 1878 B in 0s (148 kB/s)
Reading package lists...
Reading package lists...

Install main build dependencies (apt-based resolver)
----------------------------------------------------

Installing build dependencies
Reading package lists...
Building dependency tree...
Reading state information...
The following additional packages will be installed:
  autoconf automake autopoint autotools-dev bsdmainutils debhelper
  dh-autoreconf dh-python dh-strip-nondeterminism dwz file gettext
  gettext-base groff-base intltool-debian libarchive-zip-perl libblas3 libbsd0
  libcroco3 libdebhelper-perl libelf1 libexpat1
  libfile-stripnondeterminism-perl libgfortran5 libglib2.0-0 libicu63
  liblapack3 liblbfgsb0 libmagic-mgc libmagic1 libmpdec2 libncurses6
  libncursesw6 libpipeline1 libprocps8 libpython3-stdlib libpython3.8-minimal
  libpython3.8-stdlib libreadline8 libsigsegv2 libsqlite3-0 libssl1.1
  libsub-override-perl libtool libuchardet0 libxml2 m4 man-db mime-support
  po-debconf procps python3 python3-all python3-atomicwrites python3-attr
  python3-dateutil python3-decorator python3-distutils
  python3-importlib-metadata python3-joblib python3-lib2to3 python3-minimal
  python3-mock python3-more-itertools python3-numpy python3-packaging
  python3-pandas python3-pandas-lib python3-pbr python3-pkg-resources
  python3-pluggy python3-py python3-pyparsing python3-pytest python3-scipy
  python3-setuptools python3-six python3-sklearn python3-sklearn-lib
  python3-tz python3-wcwidth python3-zipp python3.8 python3.8-minimal
  readline-common sensible-utils
Suggested packages:
  autoconf-archive gnu-standards autoconf-doc wamerican | wordlist whois
  vacation dh-make gettext-doc libasprintf-dev libgettextpo-dev groff
  libtool-doc gfortran | fortran95-compiler gcj-jdk m4-doc apparmor less
  www-browser libmail-box-perl python3-doc python3-tk python3-venv
  python-attr-doc python-mock-doc gfortran python-numpy-doc python3-dev
  python3-numpy-dbg python-pandas-doc python3-statsmodels subversion
  python-pyparsing-doc python-scipy-doc python-setuptools-doc python3-dap
  python-sklearn-doc ipython3 python3.8-venv python3.8-doc binfmt-support
  readline-doc
Recommended packages:
  curl | wget | lynx libarchive-cpio-perl libglib2.0-data shared-mime-info
  xdg-user-dirs libgpm2 libltdl-dev libmail-sendmail-perl psmisc
  python3-simplejson python3-psutil python3-matplotlib python3-numexpr
  python3-tables python3-xlrd python3-openpyxl python3-xlwt python3-bs4
  python3-html5lib python3-lxml python3-pil python3-nose
The following NEW packages will be installed:
  autoconf automake autopoint autotools-dev bsdmainutils debhelper
  dh-autoreconf dh-python dh-strip-nondeterminism dwz file gettext
  gettext-base groff-base intltool-debian libarchive-zip-perl libblas3 libbsd0
  libcroco3 libdebhelper-perl libelf1 libexpat1
  libfile-stripnondeterminism-perl libgfortran5 libglib2.0-0 libicu63
  liblapack3 liblbfgsb0 libmagic-mgc libmagic1 libmpdec2 libncurses6
  libncursesw6 libpipeline1 libprocps8 libpython3-stdlib libpython3.8-minimal
  libpython3.8-stdlib libreadline8 libsigsegv2 libsqlite3-0 libssl1.1
  libsub-override-perl libtool libuchardet0 libxml2 m4 man-db mime-support
  po-debconf procps python3 python3-all python3-atomicwrites python3-attr
  python3-dateutil python3-decorator python3-distutils
  python3-importlib-metadata python3-joblib python3-lib2to3 python3-minimal
  python3-mock python3-more-itertools python3-numpy python3-packaging
  python3-pandas python3-pandas-lib python3-pbr python3-pkg-resources
  python3-pluggy python3-py python3-pyparsing python3-pytest python3-scipy
  python3-setuptools python3-six python3-sklearn python3-sklearn-lib
  python3-tz python3-wcwidth python3-zipp python3.8 python3.8-minimal
  readline-common sbuild-build-depends-main-dummy sensible-utils
0 upgraded, 87 newly installed, 0 to remove and 0 not upgraded.
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update-alternatives: using /usr/lib/x86_64-linux-gnu/blas/libblas.so.3 to 
provide /usr/lib/x86_64-linux-gnu/libblas.so.3 (libblas.so.3-x86_64-linux-gnu) 
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Setting up python3-sklearn-lib:amd64 (0.22.2.post1+dfsg-7) ...
Setting up python3-pandas (0.25.3+dfsg2-2) ...
Setting up python3-sklearn (0.22.2.post1+dfsg-7) ...
Setting up python3-pluggy (0.13.0-4) ...
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Processing triggers for libc-bin (2.30-8) ...

+------------------------------------------------------------------------------+
| Check architectures                                                          |
+------------------------------------------------------------------------------+

Arch check ok (amd64 included in all)

+------------------------------------------------------------------------------+
| Build environment                                                            |
+------------------------------------------------------------------------------+

Kernel: Linux 5.6.0-2-amd64 #1 SMP Debian 5.6.14-1 (2020-05-23) amd64 (x86_64)
Toolchain package versions: binutils_2.34-8 dpkg-dev_1.19.7 g++-9_9.3.0-13 
gcc-9_9.3.0-13 libc6-dev_2.30-8 libstdc++-9-dev_9.3.0-13 libstdc++6_10.1.0-2 
linux-libc-dev_5.6.14-1
Package versions: adduser_3.118 apt_2.1.5 autoconf_2.69-11.1 
automake_1:1.16.2-1 autopoint_0.19.8.1-10 autotools-dev_20180224.1 
base-files_11 base-passwd_3.5.47 bash_5.0-6 binutils_2.34-8 
binutils-common_2.34-8 binutils-x86-64-linux-gnu_2.34-8 bsdmainutils_11.1.2+b1 
bsdutils_1:2.35.2-2 build-essential_12.8 bzip2_1.0.8-2 coreutils_8.30-3+b1 
cpp_4:9.2.1-3.1 cpp-9_9.3.0-13 dash_0.5.10.2-7 debconf_1.5.74 debhelper_13.1 
debian-archive-keyring_2019.1 debianutils_4.11 dh-autoreconf_19 
dh-python_4.20200315 dh-strip-nondeterminism_1.8.1-1 diffutils_1:3.7-3 
dpkg_1.19.7 dpkg-dev_1.19.7 dwz_0.13-5 e2fsprogs_1.45.6-1 fakeroot_1.24-1 
file_1:5.38-5 findutils_4.7.0-1 g++_4:9.2.1-3.1 g++-9_9.3.0-13 gcc_4:9.2.1-3.1 
gcc-10-base_10.1.0-2 gcc-9_9.3.0-13 gcc-9-base_9.3.0-13 gettext_0.19.8.1-10 
gettext-base_0.19.8.1-10 gpgv_2.2.20-1 grep_3.4-1 groff-base_1.22.4-5 
gzip_1.10-2 hostname_3.23 init-system-helpers_1.57 
intltool-debian_0.35.0+20060710.5 libacl1_2.2.53-8 libapt-pkg6.0_2.1.5 
libarchive-zip-perl_1.68-1 libasan5_9.3.0-13 libatomic1_10.1.0-2 
libattr1_1:2.4.48-5 libaudit-common_1:2.8.5-3 libaudit1_1:2.8.5-3+b1 
libbinutils_2.34-8 libblas3_3.9.0-2 libblkid1_2.35.2-2 libbsd0_0.10.0-1 
libbz2-1.0_1.0.8-2 libc-bin_2.30-8 libc-dev-bin_2.30-8 libc6_2.30-8 
libc6-dev_2.30-8 libcap-ng0_0.7.9-2.1+b2 libcc1-0_10.1.0-2 libcom-err2_1.45.6-1 
libcroco3_0.6.13-1 libcrypt-dev_1:4.4.16-1 libcrypt1_1:4.4.16-1 
libctf-nobfd0_2.34-8 libctf0_2.34-8 libdb5.3_5.3.28+dfsg1-0.6 
libdebconfclient0_0.252 libdebhelper-perl_13.1 libdpkg-perl_1.19.7 
libelf1_0.176-1.1 libexpat1_2.2.9-1 libext2fs2_1.45.6-1 libfakeroot_1.24-1 
libffi7_3.3-4 libfile-stripnondeterminism-perl_1.8.1-1 libgcc-9-dev_9.3.0-13 
libgcc-s1_10.1.0-2 libgcrypt20_1.8.5-5 libgdbm-compat4_1.18.1-5 
libgdbm6_1.18.1-5 libgfortran5_10.1.0-2 libglib2.0-0_2.64.2-1 
libgmp10_2:6.2.0+dfsg-4 libgnutls30_3.6.13-2 libgomp1_10.1.0-2 
libgpg-error0_1.37-1 libhogweed5_3.5.1+really3.5.1-2 libicu63_63.2-3 
libidn2-0_2.3.0-1 libisl22_0.22.1-1 libitm1_10.1.0-2 liblapack3_3.9.0-2 
liblbfgsb0_3.0+dfsg.3-8 liblsan0_10.1.0-2 liblz4-1_1.9.2-2 liblzma5_5.2.4-1+b1 
libmagic-mgc_1:5.38-5 libmagic1_1:5.38-5 libmount1_2.35.2-2 libmpc3_1.1.0-1 
libmpdec2_2.4.2-3 libmpfr6_4.0.2-1 libncurses6_6.2-1 libncursesw6_6.2-1 
libnettle7_3.5.1+really3.5.1-2 libp11-kit0_0.23.20-1 libpam-modules_1.3.1-5 
libpam-modules-bin_1.3.1-5 libpam-runtime_1.3.1-5 libpam0g_1.3.1-5 
libpcre2-8-0_10.34-7 libpcre3_2:8.39-12+b1 libperl5.30_5.30.2-1 
libpipeline1_1.5.2-2 libprocps8_2:3.3.16-5 libpython3-stdlib_3.8.2-3 
libpython3.8-minimal_3.8.3-1 libpython3.8-stdlib_3.8.3-1 libquadmath0_10.1.0-2 
libreadline8_8.0-4 libseccomp2_2.4.3-1+b1 libselinux1_3.0-1+b3 
libsemanage-common_3.0-1 libsemanage1_3.0-1+b3 libsepol1_3.0-1 
libsigsegv2_2.12-2 libsmartcols1_2.35.2-2 libsqlite3-0_3.32.1-1 libss2_1.45.6-1 
libssl1.1_1.1.1g-1 libstdc++-9-dev_9.3.0-13 libstdc++6_10.1.0-2 
libsub-override-perl_0.09-2 libsystemd0_245.5-3 libtasn1-6_4.16.0-2 
libtinfo6_6.2-1 libtool_2.4.6-14 libtsan0_10.1.0-2 libubsan1_10.1.0-2 
libuchardet0_0.0.6-3 libudev1_245.5-3 libunistring2_0.9.10-2 libuuid1_2.35.2-2 
libxml2_2.9.10+dfsg-5 libzstd1_1.4.4+dfsg-3 linux-libc-dev_5.6.14-1 
login_1:4.8.1-1 logsave_1.45.6-1 lsb-base_11.1.0 m4_1.4.18-4 make_4.3-1 
man-db_2.9.1-1 mawk_1.3.4.20200120-2 mime-support_3.64 mount_2.35.2-2 
ncurses-base_6.2-1 ncurses-bin_6.2-1 passwd_1:4.8.1-1 patch_2.7.6-6 
perl_5.30.2-1 perl-base_5.30.2-1 perl-modules-5.30_5.30.2-1 po-debconf_1.0.21 
procps_2:3.3.16-5 python3_3.8.2-3 python3-all_3.8.2-3 
python3-atomicwrites_1.3.0-1 python3-attr_19.3.0-4 python3-dateutil_2.8.1-4 
python3-decorator_4.4.2-2 python3-distutils_3.8.3-2 
python3-importlib-metadata_1.6.0-1 python3-joblib_0.14.0-3 
python3-lib2to3_3.8.3-2 python3-minimal_3.8.2-3 python3-mock_3.0.5-2 
python3-more-itertools_4.2.0-2 python3-numpy_1:1.18.4-1 
python3-packaging_20.3-1.2 python3-pandas_0.25.3+dfsg2-2 
python3-pandas-lib_0.25.3+dfsg2-2 python3-pbr_5.4.5-3 
python3-pkg-resources_46.1.3-1 python3-pluggy_0.13.0-4 python3-py_1.8.1-2 
python3-pyparsing_2.4.7-1 python3-pytest_4.6.9-3 python3-scipy_1.4.1-2 
python3-setuptools_46.1.3-1 python3-six_1.15.0-1 
python3-sklearn_0.22.2.post1+dfsg-7 python3-sklearn-lib_0.22.2.post1+dfsg-7 
python3-tz_2020.1-1 python3-wcwidth_0.1.9+dfsg1-1 python3-zipp_1.0.0-2 
python3.8_3.8.3-1 python3.8-minimal_3.8.3-1 readline-common_8.0-4 
sbuild-build-depends-main-dummy_0.invalid.0 sed_4.7-1 
sensible-utils_0.0.12+nmu1 sysvinit-utils_2.96-3 tar_1.30+dfsg-7 tzdata_2020a-1 
util-linux_2.35.2-2 xz-utils_5.2.4-1+b1 zlib1g_1:1.2.11.dfsg-2

+------------------------------------------------------------------------------+
| Build                                                                        |
+------------------------------------------------------------------------------+


Unpack source
-------------

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Hash: SHA512

Format: 3.0 (quilt)
Source: sklearn-pandas
Binary: python3-sklearn-pandas
Architecture: all
Version: 1.8.0-1
Maintainer: Christopher Baines <m...@cbaines.net>
Uploaders: Federico Ceratto <feder...@debian.org>
Homepage: https://github.com/paulgb/sklearn-pandas
Standards-Version: 4.3.1
Vcs-Browser: https://salsa.debian.org/debian/sklearn-pandas
Vcs-Git: https://salsa.debian.org/debian/sklearn-pandas.git
Build-Depends: debhelper-compat (= 12)
Build-Depends-Indep: dh-python, python3-all, python3-setuptools, python3-mock, 
python3-pytest, python3-numpy, python3-pandas, python3-sklearn
Package-List:
 python3-sklearn-pandas deb python optional arch=all
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 7ead3c016f05aeb6f2b7114311dea8f2963e4278c5d0a709d186ed2a1eacb4ba 2988 
sklearn-pandas_1.8.0-1.debian.tar.xz
Files:
 8d6677f1e77862fd6af44ac6bc91ba00 16388 sklearn-pandas_1.8.0.orig.tar.gz
 0420519407b6a13a02fdf37724fe37e7 2988 sklearn-pandas_1.8.0-1.debian.tar.xz

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gpgv: unknown type of key resource 'trustedkeys.kbx'
gpgv: keyblock resource '/sbuild-nonexistent/.gnupg/trustedkeys.kbx': General 
error
gpgv: Signature made Sun Jun 23 17:34:25 2019 UTC
gpgv:                using RSA key 7CA7DDFB333921408C6F2B966F31BC44F5177DAA
gpgv: Can't check signature: No public key
dpkg-source: warning: failed to verify signature on ./sklearn-pandas_1.8.0-1.dsc
dpkg-source: info: extracting sklearn-pandas in /<<PKGBUILDDIR>>
dpkg-source: info: unpacking sklearn-pandas_1.8.0.orig.tar.gz
dpkg-source: info: unpacking sklearn-pandas_1.8.0-1.debian.tar.xz

Check disk space
----------------

Sufficient free space for build

User Environment
----------------

APT_CONFIG=/var/lib/sbuild/apt.conf
HOME=/sbuild-nonexistent
LANG=zh_CN.UTF-8
LC_ALL=C.UTF-8
LOGNAME=hosiet
PATH=/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games
SCHROOT_ALIAS_NAME=unstable-amd64-sbuild
SCHROOT_CHROOT_NAME=unstable-amd64-sbuild
SCHROOT_COMMAND=env
SCHROOT_GID=1000
SCHROOT_GROUP=hosiet
SCHROOT_SESSION_ID=unstable-amd64-sbuild-03b399fa-6319-4a5f-82b3-6239d9035e87
SCHROOT_UID=1000
SCHROOT_USER=hosiet
SHELL=/bin/sh
USER=hosiet

dpkg-buildpackage
-----------------

Command: dpkg-buildpackage -us -uc -sa -rfakeroot
dpkg-buildpackage: info: source package sklearn-pandas
dpkg-buildpackage: info: source version 1.8.0-1
dpkg-buildpackage: info: source distribution unstable
dpkg-buildpackage: info: source changed by Federico Ceratto 
<feder...@debian.org>
 dpkg-source --before-build .
dpkg-buildpackage: info: host architecture amd64
 fakeroot debian/rules clean
dh clean --with python3 --buildsystem=pybuild
   dh_auto_clean -O--buildsystem=pybuild
        pybuild --clean --test-pytest -i python{version} -p 3.8
I: pybuild base:217: python3.8 setup.py clean 
running clean
removing '/<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_sklearn-pandas/build' (and 
everything under it)
'build/bdist.linux-x86_64' does not exist -- can't clean it
'build/scripts-3.8' does not exist -- can't clean it
        rm -rf .pybuild/
        find . -name \*.pyc -exec rm {} \;
   dh_autoreconf_clean -O--buildsystem=pybuild
   dh_clean -O--buildsystem=pybuild
        rm -f debian/debhelper-build-stamp
        rm -rf debian/.debhelper/
        rm -f -- debian/python3-sklearn-pandas.substvars 
./sklearn_pandas.egg-info/dependency_links.txt 
./sklearn_pandas.egg-info/PKG-INFO ./sklearn_pandas.egg-info/requires.txt 
./sklearn_pandas.egg-info/SOURCES.txt ./sklearn_pandas.egg-info/top_level.txt 
debian/files
        rm -fr -- debian/python3-sklearn-pandas/ debian/tmp/
        find .  \( \( \
                \( -path .\*/.git -o -path .\*/.svn -o -path .\*/.bzr -o -path 
.\*/.hg -o -path .\*/CVS -o -path .\*/.pc -o -path .\*/_darcs \) -prune -o 
-type f -a \
                \( -name '#*#' -o -name '.*~' -o -name '*~' -o -name DEADJOE \
                 -o -name '*.orig' -o -name '*.rej' -o -name '*.bak' \
                 -o -name '.*.orig' -o -name .*.rej -o -name '.SUMS' \
                 -o -name TAGS -o \( -path '*/.deps/*' -a -name '*.P' \) \
                \) -exec rm -f {} + \) -o \
                \( -type d -a -name autom4te.cache -prune -exec rm -rf {} + \) 
\)
 dpkg-source -b .
dpkg-source: info: using source format '3.0 (quilt)'
dpkg-source: info: building sklearn-pandas using existing 
./sklearn-pandas_1.8.0.orig.tar.gz
dpkg-source: warning: ignoring deletion of file 
sklearn_pandas.egg-info/requires.txt, use --include-removal to override
dpkg-source: warning: ignoring deletion of file 
sklearn_pandas.egg-info/top_level.txt, use --include-removal to override
dpkg-source: warning: ignoring deletion of file 
sklearn_pandas.egg-info/SOURCES.txt, use --include-removal to override
dpkg-source: warning: ignoring deletion of file 
sklearn_pandas.egg-info/dependency_links.txt, use --include-removal to override
dpkg-source: warning: ignoring deletion of file 
sklearn_pandas.egg-info/PKG-INFO, use --include-removal to override
dpkg-source: info: building sklearn-pandas in 
sklearn-pandas_1.8.0-1.debian.tar.xz
dpkg-source: info: building sklearn-pandas in sklearn-pandas_1.8.0-1.dsc
 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
        pybuild --configure --test-pytest -i python{version} -p 3.8
I: pybuild base:217: python3.8 setup.py config 
running config
   dh_auto_build -O--buildsystem=pybuild
        pybuild --build --test-pytest -i python{version} -p 3.8
I: pybuild base:217: /usr/bin/python3 setup.py build 
running build
running build_py
creating 
/<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_sklearn-pandas/build/sklearn_pandas
copying sklearn_pandas/__init__.py -> 
/<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_sklearn-pandas/build/sklearn_pandas
copying sklearn_pandas/pipeline.py -> 
/<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_sklearn-pandas/build/sklearn_pandas
copying sklearn_pandas/cross_validation.py -> 
/<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_sklearn-pandas/build/sklearn_pandas
copying sklearn_pandas/features_generator.py -> 
/<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_sklearn-pandas/build/sklearn_pandas
copying sklearn_pandas/transformers.py -> 
/<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_sklearn-pandas/build/sklearn_pandas
copying sklearn_pandas/dataframe_mapper.py -> 
/<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_sklearn-pandas/build/sklearn_pandas
copying sklearn_pandas/categorical_imputer.py -> 
/<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_sklearn-pandas/build/sklearn_pandas
   dh_auto_test -O--buildsystem=pybuild
        pybuild --test --test-pytest -i python{version} -p 3.8
I: pybuild base:217: cd 
/<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_sklearn-pandas/build; python3.8 -m 
pytest ; cd /<<PKGBUILDDIR>>; python3.8 -m doctest -v README.rst
============================= test session starts ==============================
platform linux -- Python 3.8.3, pytest-4.6.9, py-1.8.1, pluggy-0.13.0
rootdir: /<<PKGBUILDDIR>>
collected 0 items

========================= no tests ran in 0.01 seconds =========================
Trying:
    from sklearn_pandas import DataFrameMapper, cross_val_score
Expecting nothing
ok
Trying:
    import pandas as pd
Expecting nothing
ok
Trying:
    import numpy as np
Expecting nothing
ok
Trying:
    import sklearn.preprocessing, sklearn.decomposition, \
        sklearn.linear_model, sklearn.pipeline, sklearn.metrics
Expecting nothing
ok
Trying:
    from sklearn.feature_extraction.text import CountVectorizer
Expecting nothing
ok
Trying:
    data = pd.DataFrame({'pet':      ['cat', 'dog', 'dog', 'fish', 'cat', 
'dog', 'cat', 'fish'],
                         'children': [4., 6, 3, 3, 2, 3, 5, 4],
                         'salary':   [90., 24, 44, 27, 32, 59, 36, 27]})
Expecting nothing
ok
Trying:
    mapper = DataFrameMapper([
        ('pet', sklearn.preprocessing.LabelBinarizer()),
        (['children'], sklearn.preprocessing.StandardScaler())
    ])
Expecting nothing
ok
Trying:
    data['children'].shape
Expecting:
    (8,)
ok
Trying:
    data[['children']].shape
Expecting:
    (8, 1)
ok
Trying:
    np.round(mapper.fit_transform(data.copy()), 2)
Expecting:
    array([[ 1.  ,  0.  ,  0.  ,  0.21],
           [ 0.  ,  1.  ,  0.  ,  1.88],
           [ 0.  ,  1.  ,  0.  , -0.63],
           [ 0.  ,  0.  ,  1.  , -0.63],
           [ 1.  ,  0.  ,  0.  , -1.46],
           [ 0.  ,  1.  ,  0.  , -0.63],
           [ 1.  ,  0.  ,  0.  ,  1.04],
           [ 0.  ,  0.  ,  1.  ,  0.21]])
ok
Trying:
    sample = pd.DataFrame({'pet': ['cat'], 'children': [5.]})
Expecting nothing
ok
Trying:
    np.round(mapper.transform(sample), 2)
Expecting:
    array([[1.  , 0.  , 0.  , 1.04]])
ok
Trying:
    mapper.transformed_names_
Expecting:
    ['pet_cat', 'pet_dog', 'pet_fish', 'children']
ok
Trying:
    mapper_alias = DataFrameMapper([
        (['children'], sklearn.preprocessing.StandardScaler(),
         {'alias': 'children_scaled'})
    ])
Expecting nothing
ok
Trying:
    _ = mapper_alias.fit_transform(data.copy())
Expecting nothing
ok
Trying:
    mapper_alias.transformed_names_
Expecting:
    ['children_scaled']
ok
Trying:
    from sklearn.base import TransformerMixin
Expecting nothing
ok
Trying:
    class DateEncoder(TransformerMixin):
       def fit(self, X, y=None):
           return self

       def transform(self, X):
           dt = X.dt
           return pd.concat([dt.year, dt.month, dt.day], axis=1)
Expecting nothing
ok
Trying:
    dates_df = pd.DataFrame(
        {'dates': pd.date_range('2015-10-30', '2015-11-02')})
Expecting nothing
ok
Trying:
    mapper_dates = DataFrameMapper([
        ('dates', DateEncoder())
    ], input_df=True)
Expecting nothing
ok
Trying:
    mapper_dates.fit_transform(dates_df)
Expecting:
    array([[2015,   10,   30],
           [2015,   10,   31],
           [2015,   11,    1],
           [2015,   11,    2]])
ok
Trying:
    mapper_dates = DataFrameMapper([
        ('dates', DateEncoder(), {'input_df': True})
    ])
Expecting nothing
ok
Trying:
    mapper_dates.fit_transform(dates_df)
Expecting:
    array([[2015,   10,   30],
           [2015,   10,   31],
           [2015,   11,    1],
           [2015,   11,    2]])
ok
Trying:
    mapper_df = DataFrameMapper([
        ('pet', sklearn.preprocessing.LabelBinarizer()),
        (['children'], sklearn.preprocessing.StandardScaler())
    ], df_out=True)
Expecting nothing
ok
Trying:
    np.round(mapper_df.fit_transform(data.copy()), 2)
Expecting:
       pet_cat  pet_dog  pet_fish  children
    0        1        0         0      0.21
    1        0        1         0      1.88
    2        0        1         0     -0.63
    3        0        0         1     -0.63
    4        1        0         0     -1.46
    5        0        1         0     -0.63
    6        1        0         0      1.04
    7        0        0         1      0.21
ok
Trying:
    mapper2 = DataFrameMapper([
        (['children', 'salary'], sklearn.decomposition.PCA(1))
    ])
Expecting nothing
ok
Trying:
    np.round(mapper2.fit_transform(data.copy()), 1)
Expecting:
    array([[ 47.6],
           [-18.4],
           [  1.6],
           [-15.4],
           [-10.4],
           [ 16.6],
           [ -6.4],
           [-15.4]])
ok
Trying:
    mapper3 = DataFrameMapper([
        (['age'], [sklearn.preprocessing.Imputer(),
                   sklearn.preprocessing.StandardScaler()])])
Expecting nothing
**********************************************************************
File "README.rst", line 234, in README.rst
Failed example:
    mapper3 = DataFrameMapper([
        (['age'], [sklearn.preprocessing.Imputer(),
                   sklearn.preprocessing.StandardScaler()])])
Exception raised:
    Traceback (most recent call last):
      File "/usr/lib/python3.8/doctest.py", line 1336, in __run
        exec(compile(example.source, filename, "single",
      File "<doctest README.rst[27]>", line 2, in <module>
        (['age'], [sklearn.preprocessing.Imputer(),
    AttributeError: module 'sklearn.preprocessing' has no attribute 'Imputer'
Trying:
    data_3 = pd.DataFrame({'age': [1, np.nan, 3]})
Expecting nothing
ok
Trying:
    mapper3.fit_transform(data_3)
Expecting:
    array([[-1.22474487],
           [ 0.        ],
           [ 1.22474487]])
**********************************************************************
File "README.rst", line 238, in README.rst
Failed example:
    mapper3.fit_transform(data_3)
Exception raised:
    Traceback (most recent call last):
      File "/usr/lib/python3.8/doctest.py", line 1336, in __run
        exec(compile(example.source, filename, "single",
      File "<doctest README.rst[29]>", line 1, in <module>
        mapper3.fit_transform(data_3)
    NameError: name 'mapper3' is not defined
Trying:
    mapper3 = DataFrameMapper([
        ('pet', sklearn.preprocessing.LabelBinarizer()),
        ('children', None)
    ])
Expecting nothing
ok
Trying:
    np.round(mapper3.fit_transform(data.copy()))
Expecting:
    array([[1., 0., 0., 4.],
           [0., 1., 0., 6.],
           [0., 1., 0., 3.],
           [0., 0., 1., 3.],
           [1., 0., 0., 2.],
           [0., 1., 0., 3.],
           [1., 0., 0., 5.],
           [0., 0., 1., 4.]])
ok
Trying:
    mapper4 = DataFrameMapper([
        ('pet', sklearn.preprocessing.LabelBinarizer()),
        ('children', None)
    ], default=sklearn.preprocessing.StandardScaler())
Expecting nothing
ok
Trying:
    np.round(mapper4.fit_transform(data.copy()), 1)
Expecting:
    array([[ 1. ,  0. ,  0. ,  4. ,  2.3],
           [ 0. ,  1. ,  0. ,  6. , -0.9],
           [ 0. ,  1. ,  0. ,  3. ,  0.1],
           [ 0. ,  0. ,  1. ,  3. , -0.7],
           [ 1. ,  0. ,  0. ,  2. , -0.5],
           [ 0. ,  1. ,  0. ,  3. ,  0.8],
           [ 1. ,  0. ,  0. ,  5. , -0.3],
           [ 0. ,  0. ,  1. ,  4. , -0.7]])
ok
Trying:
    from sklearn_pandas import gen_features
Expecting nothing
ok
Trying:
    feature_def = gen_features(
        columns=['col1', 'col2', 'col3'],
        classes=[sklearn.preprocessing.LabelEncoder]
    )
Expecting nothing
ok
Trying:
    feature_def
Expecting:
    [('col1', [LabelEncoder()]), ('col2', [LabelEncoder()]), ('col3', 
[LabelEncoder()])]
ok
Trying:
    mapper5 = DataFrameMapper(feature_def)
Expecting nothing
ok
Trying:
    data5 = pd.DataFrame({
        'col1': ['yes', 'no', 'yes'],
        'col2': [True, False, False],
        'col3': ['one', 'two', 'three']
    })
Expecting nothing
ok
Trying:
    mapper5.fit_transform(data5)
Expecting:
    array([[1, 1, 0],
           [0, 0, 2],
           [1, 0, 1]])
ok
Trying:
    feature_def = gen_features(
        columns=[['col1'], ['col2'], ['col3']],
        classes=[{'class': sklearn.preprocessing.Imputer, 'strategy': 
'most_frequent'}]
    )
Expecting nothing
**********************************************************************
File "README.rst", line 321, in README.rst
Failed example:
    feature_def = gen_features(
        columns=[['col1'], ['col2'], ['col3']],
        classes=[{'class': sklearn.preprocessing.Imputer, 'strategy': 
'most_frequent'}]
    )
Exception raised:
    Traceback (most recent call last):
      File "/usr/lib/python3.8/doctest.py", line 1336, in __run
        exec(compile(example.source, filename, "single",
      File "<doctest README.rst[40]>", line 3, in <module>
        classes=[{'class': sklearn.preprocessing.Imputer, 'strategy': 
'most_frequent'}]
    AttributeError: module 'sklearn.preprocessing' has no attribute 'Imputer'
/usr/lib/python3/dist-packages/sklearn/metrics/_regression.py:582: 
UndefinedMetricWarning: R^2 score is not well-defined with less than two 
samples.
  warnings.warn(msg, UndefinedMetricWarning)
/usr/lib/python3/dist-packages/sklearn/metrics/_regression.py:582: 
UndefinedMetricWarning: R^2 score is not well-defined with less than two 
samples.
  warnings.warn(msg, UndefinedMetricWarning)
Trying:
    mapper6 = DataFrameMapper(feature_def)
Expecting nothing
ok
Trying:
    data6 = pd.DataFrame({
        'col1': [None, 1, 1, 2, 3],
        'col2': [True, False, None, None, True],
        'col3': [0, 0, 0, None, None]
    })
Expecting nothing
ok
Trying:
    mapper6.fit_transform(data6)
Expecting:
    array([[1., 1., 0.],
           [1., 0., 0.],
           [1., 1., 0.],
           [2., 1., 0.],
           [3., 1., 0.]])
**********************************************************************
File "README.rst", line 331, in README.rst
Failed example:
    mapper6.fit_transform(data6)
Exception raised:
    Traceback (most recent call last):
      File "/<<PKGBUILDDIR>>/sklearn_pandas/pipeline.py", line 24, in _call_fit
        return fit_method(X, y, **kwargs)
    TypeError: fit_transform() takes 2 positional arguments but 3 were given

    During handling of the above exception, another exception occurred:

    Traceback (most recent call last):
      File "/usr/lib/python3/dist-packages/sklearn/preprocessing/_label.py", 
line 112, in _encode
        res = _encode_python(values, uniques, encode)
      File "/usr/lib/python3/dist-packages/sklearn/preprocessing/_label.py", 
line 60, in _encode_python
        uniques = sorted(set(values))
    TypeError: '<' not supported between instances of 'NoneType' and 'bool'

    During handling of the above exception, another exception occurred:

    Traceback (most recent call last):
      File "/<<PKGBUILDDIR>>/sklearn_pandas/pipeline.py", line 24, in _call_fit
        return fit_method(X, y, **kwargs)
      File "/<<PKGBUILDDIR>>/sklearn_pandas/pipeline.py", line 83, in 
fit_transform
        return _call_fit(self.steps[-1][-1].fit_transform,
      File "/<<PKGBUILDDIR>>/sklearn_pandas/pipeline.py", line 27, in _call_fit
        return fit_method(X, **kwargs)
      File "/usr/lib/python3/dist-packages/sklearn/preprocessing/_label.py", 
line 252, in fit_transform
        self.classes_, y = _encode(y, encode=True)
      File "/usr/lib/python3/dist-packages/sklearn/preprocessing/_label.py", 
line 114, in _encode
        raise TypeError("argument must be a string or number")
    TypeError: argument must be a string or number

    During handling of the above exception, another exception occurred:

    Traceback (most recent call last):
      File "/<<PKGBUILDDIR>>/sklearn_pandas/pipeline.py", line 24, in _call_fit
        return fit_method(X, y, **kwargs)
    TypeError: fit_transform() takes 2 positional arguments but 3 were given

    During handling of the above exception, another exception occurred:

    Traceback (most recent call last):
      File "/usr/lib/python3/dist-packages/sklearn/preprocessing/_label.py", 
line 112, in _encode
        res = _encode_python(values, uniques, encode)
      File "/usr/lib/python3/dist-packages/sklearn/preprocessing/_label.py", 
line 60, in _encode_python
        uniques = sorted(set(values))
    TypeError: '<' not supported between instances of 'NoneType' and 'bool'

    During handling of the above exception, another exception occurred:

    Traceback (most recent call last):
      File "/usr/lib/python3.8/doctest.py", line 1336, in __run
        exec(compile(example.source, filename, "single",
      File "<doctest README.rst[43]>", line 1, in <module>
        mapper6.fit_transform(data6)
      File "/<<PKGBUILDDIR>>/sklearn_pandas/dataframe_mapper.py", line 388, in 
fit_transform
        return self._transform(X, y, True)
      File "/<<PKGBUILDDIR>>/sklearn_pandas/dataframe_mapper.py", line 302, in 
_transform
        Xt = _call_fit(transformers.fit_transform, Xt, y)
      File "/<<PKGBUILDDIR>>/sklearn_pandas/pipeline.py", line 27, in _call_fit
        return fit_method(X, **kwargs)
      File "/<<PKGBUILDDIR>>/sklearn_pandas/pipeline.py", line 83, in 
fit_transform
        return _call_fit(self.steps[-1][-1].fit_transform,
      File "/<<PKGBUILDDIR>>/sklearn_pandas/pipeline.py", line 27, in _call_fit
        return fit_method(X, **kwargs)
      File "/usr/lib/python3/dist-packages/sklearn/preprocessing/_label.py", 
line 252, in fit_transform
        self.classes_, y = _encode(y, encode=True)
      File "/usr/lib/python3/dist-packages/sklearn/preprocessing/_label.py", 
line 114, in _encode
        raise TypeError("argument must be a string or number")
    TypeError: col2: argument must be a string or number
Trying:
    from sklearn.feature_selection import SelectKBest, chi2
Expecting nothing
ok
Trying:
    mapper_fs = DataFrameMapper([(['children','salary'], SelectKBest(chi2, 
k=1))])
Expecting nothing
ok
Trying:
    mapper_fs.fit_transform(data[['children','salary']], data['pet'])
Expecting:
    array([[90.],
           [24.],
           [44.],
           [27.],
           [32.],
           [59.],
           [36.],
           [27.]])
ok
Trying:
    mapper5 = DataFrameMapper([
        ('pet', CountVectorizer()),
    ], sparse=True)
Expecting nothing
ok
Trying:
    type(mapper5.fit_transform(data))
Expecting:
    <class 'scipy.sparse.csr.csr_matrix'>
ok
Trying:
    pipe = sklearn.pipeline.Pipeline([
        ('featurize', mapper),
        ('lm', sklearn.linear_model.LinearRegression())])
Expecting nothing
ok
Trying:
    np.round(cross_val_score(pipe, X=data.copy(), y=data.salary, scoring='r2'), 
2)
Expecting:
    array([ -1.09,  -5.3 , -15.38])
**********************************************************************
File "README.rst", line 379, in README.rst
Failed example:
    np.round(cross_val_score(pipe, X=data.copy(), y=data.salary, scoring='r2'), 
2)
Expected:
    array([ -1.09,  -5.3 , -15.38])
Got:
    array([-0.85,  0.91, -8.13,   nan,   nan])
Trying:
    from sklearn_pandas import CategoricalImputer
Expecting nothing
ok
Trying:
    data = np.array(['a', 'b', 'b', np.nan], dtype=object)
Expecting nothing
ok
Trying:
    imputer = CategoricalImputer()
Expecting nothing
ok
Trying:
    imputer.fit_transform(data)
Expecting:
    array(['a', 'b', 'b', 'b'], dtype=object)
ok
Trying:
    from sklearn_pandas import CategoricalImputer
Expecting nothing
ok
Trying:
    data = np.array(['a', 'b', 'b', np.nan], dtype=object)
Expecting nothing
ok
Trying:
    imputer = CategoricalImputer(strategy='constant', fill_value='a')
Expecting nothing
ok
Trying:
    imputer.fit_transform(data)
Expecting:
    array(['a', 'b', 'b', 'a'], dtype=object)
ok
Trying:
    from sklearn_pandas import FunctionTransformer
Expecting nothing
ok
Trying:
    array = np.array([10, 100])
Expecting nothing
ok
Trying:
    transformer = FunctionTransformer(np.log10)
Expecting nothing
ok
Trying:
    transformer.fit_transform(array)
Expecting:
    array([1., 2.])
ok
**********************************************************************
1 items had failures:
   5 of  63 in README.rst
63 tests in 1 items.
58 passed and 5 failed.
***Test Failed*** 5 failures.
E: pybuild pybuild:352: test: plugin distutils failed with: exit code=1: cd 
/<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_sklearn-pandas/build; python3.8 -m 
pytest ; cd {dir}; python{version} -m doctest -v README.rst
dh_auto_test: error: pybuild --test --test-pytest -i python{version} -p 3.8 
returned exit code 13
make: *** [debian/rules:7: build] Error 25
dpkg-buildpackage: error: debian/rules build subprocess returned exit status 2
--------------------------------------------------------------------------------
Build finished at 2020-05-26T15:18:24Z

Finished
--------


+------------------------------------------------------------------------------+
| Cleanup                                                                      |
+------------------------------------------------------------------------------+

Purging /<<BUILDDIR>>
Not cleaning session: cloned chroot in use
E: Build failure (dpkg-buildpackage died)

+------------------------------------------------------------------------------+
| Summary                                                                      |
+------------------------------------------------------------------------------+

Build Architecture: amd64
Build Type: full
Build-Space: 296
Build-Time: 4
Distribution: unstable
Fail-Stage: build
Host Architecture: amd64
Install-Time: 56
Job: /dev/shm/sklearn-pandas_1.8.0-1.dsc
Machine Architecture: amd64
Package: sklearn-pandas
Package-Time: 64
Source-Version: 1.8.0-1
Space: 296
Status: attempted
Version: 1.8.0-1
--------------------------------------------------------------------------------
Finished at 2020-05-26T15:18:24Z
Build needed 00:01:04, 296k disk space

Attachment: signature.asc
Description: This is a digitally signed message part


--- End Message ---
--- Begin Message ---
Source: python-hug
Source-Version: 2.6.0-2
Done: Federico Ceratto <feder...@debian.org>

We believe that the bug you reported is fixed in the latest version of
python-hug, 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 961...@bugs.debian.org,
and the maintainer will reopen the bug report if appropriate.

Debian distribution maintenance software
pp.
Federico Ceratto <feder...@debian.org> (supplier of updated python-hug 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: Mon, 13 Jul 2020 23:45:06 +0100
Source: python-hug
Architecture: source
Version: 2.6.0-2
Distribution: unstable
Urgency: medium
Maintainer: Federico Ceratto <feder...@debian.org>
Changed-By: Federico Ceratto <feder...@debian.org>
Closes: 916022 953258 961606
Changes:
 python-hug (2.6.0-2) unstable; urgency=medium
 .
   * Bugfix (Closes: #961606, #916022, #953258)
Checksums-Sha1:
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 87e3f5760f40b1ed212eb340cede62a39c38bc8f 8227 
python-hug_2.6.0-2_amd64.buildinfo
Checksums-Sha256:
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python-hug_2.6.0-2.dsc
 d7f9cd8bc726b9bde1ceb440d4584a43b552190415eba05e29ba3118ebd6f396 3148 
python-hug_2.6.0-2.debian.tar.xz
 e749e6f82e3f86d28252eed96da730ab4ec61edfce2b1216b11d2769d4707b22 8227 
python-hug_2.6.0-2_amd64.buildinfo
Files:
 eab88c1f79ba6143382b19b5c5bbb8d4 2190 python optional python-hug_2.6.0-2.dsc
 617a1406fee9384f8aa187cbab349dbf 3148 python optional 
python-hug_2.6.0-2.debian.tar.xz
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python-hug_2.6.0-2_amd64.buildinfo

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