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
Get:2 copy:/<<RESOLVERDIR>>/apt_archive ./ Release [957 B]
Ign:3 copy:/<<RESOLVERDIR>>/apt_archive ./ Release.gpg
Get:4 copy:/<<RESOLVERDIR>>/apt_archive ./ Sources [420 B]
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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After this operation, 239 MB of additional disk space will be used.
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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:
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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

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