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How are you? I hope you are doing fine.
Thanks a lot for this wonderful tool, I'm using it a lot in my research!
I wanted to report an issue when installing from Conda (see below). Any idea why this might happen?
LinkError: post-link script failed for package bioconda::mob_suite-3.0.0-py_1
location of failed script: /home/dla_mm/jpaganini/data/miniconda3/envs/mob-suite_mmbioit/bin/.mob_suite-post-link.sh
==> script messages <==
==> script output <==
stdout:
stderr: Traceback (most recent call last):
File "/home/dla_mm/jpaganini/data/miniconda3/envs/mob-suite_mmbioit/bin/mob_init", line 7, in
from mob_suite.mob_init import main
File "/home/dla_mm/jpaganini/data/miniconda3/envs/mob-suite_mmbioit/lib/python3.8/site-packages/mob_suite/mob_init.py", line 8, in
from mob_suite.blast import BlastRunner
File "/home/dla_mm/jpaganini/data/miniconda3/envs/mob-suite_mmbioit/lib/python3.8/site-packages/mob_suite/blast/init.py", line 9, in
from pandas.io.common import EmptyDataError
ImportError: cannot import name 'EmptyDataError' from 'pandas.io.common' (/home/dla_mm/jpaganini/data/miniconda3/envs/mob-suite_mmbioit/lib/python3.8/site-packages/pandas/io/common.py)
return code: 1
()
The text was updated successfully, but these errors were encountered:
Thank you for your kind words. This issue is related to a pandas version issue, newer versions of pandas don't have EmptyData error. We have removed this dependency in a minor update 3.0.1 which will be released soon. However, a workaround in the meantime is to use an older version of pandas. conda install -y mob_suite==3.0.0 pandas==1.0.5. This is the same issue as #63
Hi guys,
How are you? I hope you are doing fine.
Thanks a lot for this wonderful tool, I'm using it a lot in my research!
I wanted to report an issue when installing from Conda (see below). Any idea why this might happen?
Input
(mob-suite_mmbioit) [jpaganini@hpcs03 envs]$ conda install -c bioconda mob_suite
Output
Collecting package metadata (current_repodata.json): done
Solving environment: done
==> WARNING: A newer version of conda exists. <==
current version: 4.8.4
latest version: 4.8.5
Please update conda by running
Package Plan
environment location: /home/dla_mm/jpaganini/data/miniconda3/envs/mob-suite_mmbioit
added / updated specs:
- mob_suite
The following packages will be downloaded:
The following NEW packages will be INSTALLED:
_libgcc_mutex pkgs/main/linux-64::_libgcc_mutex-0.1-main
biopython pkgs/main/linux-64::biopython-1.78-py38h7b6447c_0
blas pkgs/main/linux-64::blas-1.0-mkl
blast bioconda/linux-64::blast-2.5.0-hc0b0e79_3
blosc pkgs/main/linux-64::blosc-1.20.0-hd408876_0
boost pkgs/main/linux-64::boost-1.73.0-py38_11
bzip2 pkgs/main/linux-64::bzip2-1.0.8-h7b6447c_0
ca-certificates pkgs/main/linux-64::ca-certificates-2020.7.22-0
certifi pkgs/main/linux-64::certifi-2020.6.20-py38_0
dbus pkgs/main/linux-64::dbus-1.13.16-hb2f20db_0
ete3 conda-forge/noarch::ete3-3.1.2-pyh9f0ad1d_0
expat pkgs/main/linux-64::expat-2.2.9-he6710b0_2
fontconfig conda-forge/linux-64::fontconfig-2.13.1-he4413a7_1000
freetype pkgs/main/linux-64::freetype-2.10.2-h5ab3b9f_0
glib pkgs/main/linux-64::glib-2.65.0-h3eb4bd4_0
gst-plugins-base pkgs/main/linux-64::gst-plugins-base-1.14.0-hbbd80ab_1
gstreamer pkgs/main/linux-64::gstreamer-1.14.0-hb31296c_0
hdf5 pkgs/main/linux-64::hdf5-1.10.4-hb1b8bf9_0
icu pkgs/main/linux-64::icu-58.2-he6710b0_3
intel-openmp pkgs/main/linux-64::intel-openmp-2020.2-254
jpeg pkgs/main/linux-64::jpeg-9b-h024ee3a_2
krb5 pkgs/main/linux-64::krb5-1.18.2-h173b8e3_0
ld_impl_linux-64 pkgs/main/linux-64::ld_impl_linux-64-2.33.1-h53a641e_7
libboost pkgs/main/linux-64::libboost-1.73.0-h37e3b65_11
libcurl pkgs/main/linux-64::libcurl-7.71.1-h20c2e04_1
libedit pkgs/main/linux-64::libedit-3.1.20191231-h14c3975_1
libffi pkgs/main/linux-64::libffi-3.3-he6710b0_2
libgcc pkgs/main/linux-64::libgcc-7.2.0-h69d50b8_2
libgcc-ng pkgs/main/linux-64::libgcc-ng-9.1.0-hdf63c60_0
libgfortran-ng pkgs/main/linux-64::libgfortran-ng-7.3.0-hdf63c60_0
libpng pkgs/main/linux-64::libpng-1.6.37-hbc83047_0
libssh2 pkgs/main/linux-64::libssh2-1.9.0-h1ba5d50_1
libstdcxx-ng pkgs/main/linux-64::libstdcxx-ng-9.1.0-hdf63c60_0
libuuid conda-forge/linux-64::libuuid-2.32.1-h14c3975_1000
libxcb pkgs/main/linux-64::libxcb-1.14-h7b6447c_0
libxml2 pkgs/main/linux-64::libxml2-2.9.10-he19cac6_1
libxslt pkgs/main/linux-64::libxslt-1.1.34-hc22bd24_0
lxml pkgs/main/linux-64::lxml-4.5.2-py38hefd8a0e_0
lz4-c pkgs/main/linux-64::lz4-c-1.9.2-he6710b0_1
lzo pkgs/main/linux-64::lzo-2.10-h7b6447c_2
mash bioconda/linux-64::mash-1.1-0
mkl pkgs/main/linux-64::mkl-2020.2-256
mkl-service pkgs/main/linux-64::mkl-service-2.3.0-py38he904b0f_0
mkl_fft pkgs/main/linux-64::mkl_fft-1.2.0-py38h23d657b_0
mkl_random pkgs/main/linux-64::mkl_random-1.1.1-py38h0573a6f_0
mob_suite bioconda/noarch::mob_suite-3.0.0-py_1
mock pkgs/main/noarch::mock-4.0.2-py_0
ncurses pkgs/main/linux-64::ncurses-6.2-he6710b0_1
numexpr pkgs/main/linux-64::numexpr-2.7.1-py38h423224d_0
numpy pkgs/main/linux-64::numpy-1.19.1-py38hbc911f0_0
numpy-base pkgs/main/linux-64::numpy-base-1.19.1-py38hfa32c7d_0
openssl pkgs/main/linux-64::openssl-1.1.1h-h7b6447c_0
pandas pkgs/main/linux-64::pandas-1.1.2-py38he6710b0_0
pcre pkgs/main/linux-64::pcre-8.44-he6710b0_0
pip pkgs/main/linux-64::pip-20.2.3-py38_0
py-boost pkgs/main/linux-64::py-boost-1.73.0-py38h962f231_11
pycurl pkgs/main/linux-64::pycurl-7.43.0.5-py38h1ba5d50_0
pyqt pkgs/main/linux-64::pyqt-5.9.2-py38h05f1152_4
pytables pkgs/main/linux-64::pytables-3.6.1-py38h9fd0a39_0
python pkgs/main/linux-64::python-3.8.5-h7579374_1
python-dateutil pkgs/main/noarch::python-dateutil-2.8.1-py_0
pytz pkgs/main/noarch::pytz-2020.1-py_0
qt pkgs/main/linux-64::qt-5.9.7-h5867ecd_1
readline pkgs/main/linux-64::readline-8.0-h7b6447c_0
scipy pkgs/main/linux-64::scipy-1.5.2-py38h0b6359f_0
setuptools pkgs/main/linux-64::setuptools-50.3.0-py38_0
sip pkgs/main/linux-64::sip-4.19.13-py38he6710b0_0
six pkgs/main/noarch::six-1.15.0-py_0
snappy pkgs/main/linux-64::snappy-1.1.8-he6710b0_0
sqlite pkgs/main/linux-64::sqlite-3.33.0-h62c20be_0
tk pkgs/main/linux-64::tk-8.6.10-hbc83047_0
wheel pkgs/main/noarch::wheel-0.35.1-py_0
xorg-kbproto conda-forge/linux-64::xorg-kbproto-1.0.7-h14c3975_1002
xorg-libice conda-forge/linux-64::xorg-libice-1.0.10-h516909a_0
xorg-libsm conda-forge/linux-64::xorg-libsm-1.2.3-h84519dc_1000
xorg-libx11 conda-forge/linux-64::xorg-libx11-1.6.12-h516909a_0
xorg-libxau conda-forge/linux-64::xorg-libxau-1.0.9-h14c3975_0
xorg-libxdmcp conda-forge/linux-64::xorg-libxdmcp-1.1.3-h516909a_0
xorg-libxext conda-forge/linux-64::xorg-libxext-1.3.4-h516909a_0
xorg-libxrender conda-forge/linux-64::xorg-libxrender-0.9.10-h516909a_1002
xorg-renderproto conda-forge/linux-64::xorg-renderproto-0.11.1-h14c3975_1002
xorg-xextproto conda-forge/linux-64::xorg-xextproto-7.3.0-h14c3975_1002
xorg-xproto conda-forge/linux-64::xorg-xproto-7.0.31-h14c3975_1007
xz pkgs/main/linux-64::xz-5.2.5-h7b6447c_0
zlib pkgs/main/linux-64::zlib-1.2.11-h7b6447c_3
zstd pkgs/main/linux-64::zstd-1.4.5-h9ceee32_0
Proceed ([y]/n)? y
Downloading and Extracting Packages
numpy-base-1.19.1 | 4.2 MB | ################################################################################################################################################################# | 100%
xorg-libx11-1.6.12 | 917 KB | ################################################################################################################################################################# | 100%
setuptools-50.3.0 | 729 KB | ################################################################################################################################################################# | 100%
py-boost-1.73.0 | 219 KB | ################################################################################################################################################################# | 100%
boost-1.73.0 | 25 KB | ################################################################################################################################################################# | 100%
libboost-1.73.0 | 13.9 MB | ################################################################################################################################################################# | 100%
pip-20.2.3 | 1.7 MB | ################################################################################################################################################################# | 100%
mkl_fft-1.2.0 | 157 KB | ################################################################################################################################################################# | 100%
python-3.8.5 | 49.3 MB | ################################################################################################################################################################# | 100%
pandas-1.1.2 | 8.5 MB | ################################################################################################################################################################# | 100%
numpy-1.19.1 | 21 KB | ################################################################################################################################################################# | 100%
blosc-1.20.0 | 71 KB | ################################################################################################################################################################# | 100%
scipy-1.5.2 | 14.5 MB | ################################################################################################################################################################# | 100%
snappy-1.1.8 | 40 KB | ################################################################################################################################################################# | 100%
biopython-1.78 | 2.1 MB | ################################################################################################################################################################# | 100%
ete3-3.1.2 | 1.8 MB | ################################################################################################################################################################# | 100%
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
ERROR conda.core.link:_execute(700): An error occurred while installing package 'bioconda::mob_suite-3.0.0-py_1'.
Rolling back transaction: done
LinkError: post-link script failed for package bioconda::mob_suite-3.0.0-py_1
location of failed script: /home/dla_mm/jpaganini/data/miniconda3/envs/mob-suite_mmbioit/bin/.mob_suite-post-link.sh
==> script messages <==
==> script output <==
stdout:
stderr: Traceback (most recent call last):
File "/home/dla_mm/jpaganini/data/miniconda3/envs/mob-suite_mmbioit/bin/mob_init", line 7, in
from mob_suite.mob_init import main
File "/home/dla_mm/jpaganini/data/miniconda3/envs/mob-suite_mmbioit/lib/python3.8/site-packages/mob_suite/mob_init.py", line 8, in
from mob_suite.blast import BlastRunner
File "/home/dla_mm/jpaganini/data/miniconda3/envs/mob-suite_mmbioit/lib/python3.8/site-packages/mob_suite/blast/init.py", line 9, in
from pandas.io.common import EmptyDataError
ImportError: cannot import name 'EmptyDataError' from 'pandas.io.common' (/home/dla_mm/jpaganini/data/miniconda3/envs/mob-suite_mmbioit/lib/python3.8/site-packages/pandas/io/common.py)
return code: 1
()
The text was updated successfully, but these errors were encountered: