Describe the bug
Installation Version Error
To Reproduce
On a CentOS 7.6 x64 system, with newly installed Anaconda3, install the package following the instruction will lead to version 0.04 installed.
This could be an Anaconda (Cloud) setting problem.
(Time: 2020, Apr 13)
This can totally be due to the new ambermini restrictions introduced in https://github.com/conda-forge/ambertools-feedstock/pull/29.
Can you paste the output of conda list?
Here is the output of conda list:
#
_ipyw_jlab_nb_ext_conf 0.1.0 py37_0
_libgcc_mutex 0.1 main conda-forge
alabaster 0.7.12 py37_0
ambertools 19.0 0 ambermd
anaconda 2020.02 py37_0
anaconda-client 1.7.2 py37_0
anaconda-navigator 1.9.12 py37_0
anaconda-project 0.8.4 py_0
argh 0.26.2 py37_0
asn1crypto 1.3.0 py37_0 conda-forge
astroid 2.3.3 py37_0 conda-forge
astropy 4.0 py37h7b6447c_0
atomicwrites 1.3.0 py37_1
attrs 19.3.0 py_0 conda-forge
autopep8 1.4.4 py_0 conda-forge
babel 2.8.0 py_0 conda-forge
backcall 0.1.0 py37_0
backports 1.0 py_2 conda-forge
backports.functools_lru_cache 1.6.1 py_0 conda-forge
backports.shutil_get_terminal_size 1.0.0 py37_2
backports.tempfile 1.0 py_0 conda-forge
backports.weakref 1.0.post1 py37hc8dfbb8_1001 conda-forge
beautifulsoup4 4.8.2 py37_0 conda-forge
bitarray 1.2.1 py37h7b6447c_0
bkcharts 0.2 py37_0
blas 1.0 mkl
bleach 3.1.0 py37_0
blosc 1.16.3 hd408876_0
bokeh 1.4.0 py37_0 conda-forge
boto 2.49.0 py37_0
bottleneck 1.3.2 py37heb32a55_0
bzip2 1.0.8 h7b6447c_0
ca-certificates 2020.1.1 0
cairo 1.14.12 h8948797_3
certifi 2019.11.28 py37_0 conda-forge
cffi 1.14.0 py37h2e261b9_0
chardet 3.0.4 py37_1003 conda-forge
click 7.0 py37_0
cloudpickle 1.3.0 py_0 conda-forge
clyent 1.2.2 py37_1
colorama 0.4.3 py_0 conda-forge
conda 4.8.3 py37hc8dfbb8_1 conda-forge
conda-build 3.18.11 py37_0
conda-env 2.6.0 1
conda-package-handling 1.6.0 py37h8f50634_2 conda-forge
conda-verify 3.4.2 py_1
contextlib2 0.6.0.post1 py_0 conda-forge
cryptography 2.8 py37h1ba5d50_0
curl 7.68.0 hbc83047_0
cycler 0.10.0 py37_0
cython 0.29.15 py37he6710b0_0
cytoolz 0.10.1 py37h7b6447c_0
dask 2.11.0 py_0 conda-forge
dask-core 2.11.0 py_0 conda-forge
dbus 1.13.12 h746ee38_0
decorator 4.4.1 py_0 conda-forge
defusedxml 0.6.0 py_0 conda-forge
diff-match-patch 20181111 py_0 conda-forge
distributed 2.11.0 py37_0 conda-forge
docutils 0.16 py37_0 conda-forge
entrypoints 0.3 py37_0
et_xmlfile 1.0.1 py37_0
expat 2.2.6 he6710b0_0
fastcache 1.1.0 py37h7b6447c_0
fftw3f 3.3.4 2 omnia
filelock 3.0.12 py_0
flake8 3.7.9 py37_0 conda-forge
flask 1.1.1 py_0 conda-forge
fontconfig 2.13.0 h9420a91_0
freetype 2.9.1 h8a8886c_1
fribidi 1.0.5 h7b6447c_0
fsspec 0.6.2 py_0 conda-forge
future 0.18.2 py37_0 conda-forge
get_terminal_size 1.0.0 haa9412d_0
gevent 1.4.0 py37h7b6447c_0
glib 2.63.1 h5a9c865_0
glob2 0.7 py_0 conda-forge
gmp 6.1.2 h6c8ec71_1
gmpy2 2.0.8 py37h10f8cd9_2
graphite2 1.3.13 h23475e2_0
greenlet 0.4.15 py37h7b6447c_0
gst-plugins-base 1.14.0 hbbd80ab_1
gstreamer 1.14.0 hb453b48_1
h5py 2.10.0 py37h7918eee_0
harfbuzz 1.8.8 hffaf4a1_0
hdf5 1.10.4 hb1b8bf9_0
heapdict 1.0.1 py_0 conda-forge
html5lib 1.0.1 py37_0
hypothesis 5.5.4 py_0 conda-forge
icu 58.2 h9c2bf20_1
idna 2.8 py37_0
imageio 2.6.1 py37_0 conda-forge
imagesize 1.2.0 py_0 conda-forge
importlib_metadata 1.5.0 py37_0 conda-forge
intel-openmp 2020.0 166
intervaltree 3.0.2 py_0 conda-forge
ipykernel 5.1.4 py37h39e3cac_0
ipython 7.12.0 py37h5ca1d4c_0 conda-forge
ipython_genutils 0.2.0 py37_0
ipywidgets 7.5.1 py_0 conda-forge
isort 4.3.21 py37_0 conda-forge
itsdangerous 1.1.0 py37_0
jbig 2.1 hdba287a_0
jdcal 1.4.1 py_0 conda-forge
jedi 0.14.1 py37_0 conda-forge
jeepney 0.4.2 py_0 conda-forge
jinja2 2.11.1 py_0 conda-forge
joblib 0.14.1 py_0 conda-forge
jpeg 9b h024ee3a_2
json5 0.9.1 py_0
jsonschema 3.2.0 py37_0 conda-forge
jupyter 1.0.0 py37_7
jupyter_client 5.3.4 py37_0 conda-forge
jupyter_console 6.1.0 py_0
jupyter_core 4.6.1 py37_0 conda-forge
jupyterlab 1.2.6 pyhf63ae98_0
jupyterlab_server 1.0.6 py_0 conda-forge
keyring 21.1.0 py37_0 conda-forge
kiwisolver 1.1.0 py37he6710b0_0
krb5 1.17.1 h173b8e3_0
lazy-object-proxy 1.4.3 py37h7b6447c_0
ld_impl_linux-64 2.33.1 h53a641e_7 conda-forge
libarchive 3.3.3 h5d8350f_5
libboost 1.67.0 h46d08c1_4
libcurl 7.68.0 h20c2e04_0
libedit 3.1.20181209 hc058e9b_0
libffi 3.2.1 hd88cf55_4
libgcc-ng 9.1.0 hdf63c60_0
libgfortran-ng 7.3.0 hdf63c60_0
liblief 0.9.0 h7725739_2
libpng 1.6.37 hbc83047_0
libsodium 1.0.16 h1bed415_0
libspatialindex 1.9.3 he6710b0_0
libssh2 1.8.2 h1ba5d50_0
libstdcxx-ng 9.1.0 hdf63c60_0
libtiff 4.1.0 h2733197_0
libtool 2.4.6 h7b6447c_5
libuuid 1.0.3 h1bed415_2
libxcb 1.13 h1bed415_1
libxml2 2.9.9 hea5a465_1
libxslt 1.1.33 h7d1a2b0_0
llvmlite 0.31.0 py37hd408876_0
locket 0.2.0 py37_1
lxml 4.5.0 py37hefd8a0e_0
lz4-c 1.8.1.2 h14c3975_0
lzo 2.10 h49e0be7_2
markupsafe 1.1.1 py37h7b6447c_0
matplotlib 3.1.3 py37_0
matplotlib-base 3.1.3 py37hef1b27d_0
mccabe 0.6.1 py37_1
mdtraj 1.9.3 py37h00575c5_0 conda-forge
mistune 0.8.4 py37h7b6447c_0
mkl 2020.0 166
mkl-service 2.3.0 py37he904b0f_0
mkl_fft 1.0.15 py37ha843d7b_0
mkl_random 1.1.0 py37hd6b4f25_0
mmpbsa-py 16.0 pypi_0 pypi
mock 4.0.1 py_0
more-itertools 8.2.0 py_0 conda-forge
mpc 1.1.0 h10f8cd9_1
mpfr 4.0.1 hdf1c602_3
mpmath 1.1.0 py37_0
msgpack-python 0.6.1 py37hfd86e86_1
multipledispatch 0.6.0 py37_0
navigator-updater 0.2.1 py37_0
nbconvert 5.6.1 py37_0 conda-forge
nbformat 5.0.4 py_0 conda-forge
ncurses 6.2 he6710b0_0
networkx 2.4 py_0 conda-forge
nltk 3.4.5 py37_0
nose 1.3.7 py37_2 conda-forge
notebook 6.0.3 py37_0 conda-forge
numba 0.48.0 py37h0573a6f_0
numexpr 2.7.1 py37h423224d_0
numpy 1.18.1 py37h4f9e942_0
numpy-base 1.18.1 py37hde5b4d6_1
numpydoc 0.9.2 py_0 conda-forge
olefile 0.46 py37_0
openforcefield 0.6.0 py37_1
openmm 7.4.1 py37_cuda101_rc_1 omnia
openmoltools 0.8.6 py37_0 omnia
openpyxl 3.0.3 py_0 conda-forge
openssl 1.1.1d h7b6447c_4
packaging 20.1 py_0 conda-forge
packmol-memgen 1.0.5rc0 pypi_0 pypi
pandas 1.0.1 py37h0573a6f_0
pandoc 2.2.3.2 0
pandocfilters 1.4.2 py37_1
pango 1.42.4 h049681c_0
parmed 3.2.0 pypi_0 pypi
parso 0.5.2 py_0 conda-forge
partd 1.1.0 py_0 conda-forge
patchelf 0.10 he6710b0_0
path 13.1.0 py37_0 conda-forge
path.py 12.4.0 0 conda-forge
pathlib2 2.3.5 py37_0 conda-forge
pathtools 0.1.2 py_1 conda-forge
patsy 0.5.1 py37_0
pcre 8.43 he6710b0_0
pdb4amber 1.7.dev0 pypi_0 pypi
pep8 1.7.1 py37_0
pexpect 4.8.0 py37_0 conda-forge
pickleshare 0.7.5 py37_0
pillow 7.0.0 py37hb39fc2d_0
pip 20.0.2 py37_1 conda-forge
pixman 0.38.0 h7b6447c_0
pkginfo 1.5.0.1 py37_0
pluggy 0.13.1 py37_0
ply 3.11 py37_0
prometheus_client 0.7.1 py_0 conda-forge
prompt_toolkit 3.0.3 py_0 conda-forge
psutil 5.6.7 py37h7b6447c_0
ptyprocess 0.6.0 py37_0 conda-forge
py 1.8.1 py_0 conda-forge
py-boost 1.67.0 py37h04863e7_4
py-lief 0.9.0 py37h7725739_2
pycodestyle 2.5.0 py37_0
pycosat 0.6.3 py37h7b6447c_0
pycparser 2.19 py37_0
pycrypto 2.6.1 py37h14c3975_9
pycurl 7.43.0.5 py37h1ba5d50_0
pydocstyle 4.0.1 py_0 conda-forge
pyflakes 2.1.1 py37_0
pygments 2.5.2 py_0 conda-forge
pylint 2.4.4 py37_0 conda-forge
pymsmt 19.0 pypi_0 pypi
pyodbc 4.0.30 py37he6710b0_0
pyopenssl 19.1.0 py37_0 conda-forge
pyparsing 2.4.6 py_0 conda-forge
pyqt 5.9.2 py37h05f1152_2
pyrsistent 0.15.7 py37h7b6447c_0
pysocks 1.7.1 py37_0 conda-forge
pytables 3.6.1 py37h71ec239_0
pytest 5.3.5 py37_0 conda-forge
pytest-arraydiff 0.3 py37h39e3cac_0
pytest-astropy 0.8.0 py_0
pytest-astropy-header 0.1.2 py_0 conda-forge
pytest-doctestplus 0.5.0 py_0
pytest-openfiles 0.4.0 py_0 conda-forge
pytest-remotedata 0.3.2 py37_0
python 3.7.6 h0371630_2
python-dateutil 2.8.1 py_0 conda-forge
python-jsonrpc-server 0.3.4 py_0 conda-forge
python-language-server 0.31.7 py37_0
python-libarchive-c 2.8 py37_13
python_abi 3.7 1_cp37m conda-forge
pytraj 2.0.5 pypi_0 pypi
pytz 2019.3 py_0 conda-forge
pywavelets 1.1.1 py37h7b6447c_0
pyxdg 0.26 py_0 conda-forge
pyyaml 5.3 py37h7b6447c_0
pyzmq 18.1.1 py37he6710b0_0
qdarkstyle 2.8 py_0 conda-forge
qt 5.9.7 h5867ecd_1
qtawesome 0.6.1 py_0 conda-forge
qtconsole 4.6.0 py_1
qtpy 1.9.0 py_0 conda-forge
rdkit 2019.03.1.0 py37hc20afe1_1 rdkit
readline 7.0 h7b6447c_5
requests 2.22.0 py37_1 conda-forge
ripgrep 11.0.2 he32d670_0
rope 0.16.0 py_0 conda-forge
rtree 0.9.3 py37_0
ruamel_yaml 0.15.87 py37h7b6447c_0
sander 16.0 pypi_0 pypi
scikit-image 0.16.2 py37h0573a6f_0
scikit-learn 0.22.1 py37hd81dba3_0
scipy 1.4.1 py37h0b6359f_0
seaborn 0.10.0 py_0 conda-forge
secretstorage 3.1.2 py37_0 conda-forge
send2trash 1.5.0 py37_0
setuptools 45.2.0 py37_0 conda-forge
simplegeneric 0.8.1 py37_2
singledispatch 3.4.0.3 py37_0
sip 4.19.8 py37hf484d3e_0
six 1.14.0 py37_0 conda-forge
snappy 1.1.7 hbae5bb6_3
snowballstemmer 2.0.0 py_0 conda-forge
sortedcollections 1.1.2 py37_0
sortedcontainers 2.1.0 py37_0
soupsieve 1.9.5 py37_0
sphinx 2.4.0 py_0 conda-forge
sphinxcontrib 1.0 py37_1
sphinxcontrib-applehelp 1.0.1 py_0 conda-forge
sphinxcontrib-devhelp 1.0.1 py_0 conda-forge
sphinxcontrib-htmlhelp 1.0.2 py_0 conda-forge
sphinxcontrib-jsmath 1.0.1 py_0 conda-forge
sphinxcontrib-qthelp 1.0.2 py_0 conda-forge
sphinxcontrib-serializinghtml 1.1.3 py_0 conda-forge
sphinxcontrib-websupport 1.2.0 py_0
spyder 4.0.1 py37_0
spyder-kernels 1.8.1 py37_0 conda-forge
sqlalchemy 1.3.13 py37h7b6447c_0
sqlite 3.31.1 h7b6447c_0
statsmodels 0.11.0 py37h7b6447c_0
sympy 1.5.1 py37_0 conda-forge
tbb 2020.0 hfd86e86_0
tblib 1.6.0 py_0 conda-forge
terminado 0.8.3 py37_0 conda-forge
testpath 0.4.4 py_0 conda-forge
tk 8.6.8 hbc83047_0
toolz 0.10.0 py_0 conda-forge
tornado 6.0.3 py37h7b6447c_3
tqdm 4.42.1 py_0 conda-forge
traitlets 4.3.3 py37_0 conda-forge
ujson 1.35 py37h14c3975_0
unicodecsv 0.14.1 py37_0
unixodbc 2.3.7 h14c3975_0
urllib3 1.25.8 py37_0
watchdog 0.10.2 py37_0 conda-forge
wcwidth 0.1.8 py_0 conda-forge
webencodings 0.5.1 py37_1
werkzeug 1.0.0 py_0 conda-forge
wheel 0.34.2 py37_0 conda-forge
widgetsnbextension 3.5.1 py37_0 conda-forge
wrapt 1.11.2 py37h7b6447c_0
wurlitzer 2.0.0 py37_0 conda-forge
xlrd 1.2.0 py37_0
xlsxwriter 1.2.7 py_0 conda-forge
xlwt 1.3.0 py37_0
xmltodict 0.12.0 py_0 conda-forge
xz 5.2.4 h14c3975_4
yaml 0.1.7 had09818_2
yapf 0.28.0 py_0 conda-forge
zeromq 4.3.1 he6710b0_3
zict 1.0.0 py_0 conda-forge
zipp 2.2.0 py_0 conda-forge
zlib 1.2.11 h7b6447c_3
zstd 1.3.7 h0b5b093_0
Hm, that output shows v0.6.0?
openforcefield 0.6.0 py37_1
No, I manually installed the downloaded v0.6.0 from Anaconda Cloud.
The current list is twisted by me ...
Please note that I firstly installed the ambertools via Anaconda (python 3.7.6) binary,
then RDKit,
then OpenMM.
The openforcefield was installed after the above packages.
(There seems to be no "ambermini" in my installation)
I thought the package dependencies could be solved automatically.
*
Here is my solution, and it works for the runing of ethanol and cyclohexane case:
Download version 0.6.0 tar
Download the versioin 0.6.0 openforcefield and install it locally.
Here is the output of conda install openforcefield again (just print the solved environment)
$ conda install openforcefield
Collecting package metadata (current_repodata.json): done
Solving environment: |
The environment is inconsistent, please check the package plan carefully
The following packages are causing the inconsistency:
- <unknown>/linux-64::openforcefield==0.6.0=py37_1 done
## Package Plan ##
environment location: /home/kael/anaconda3
added / updated specs:
- openforcefield
The following packages will be SUPERSEDED by a higher-priority channel:
openforcefield
I see! I am adding tests for this scenario in #577.
In the meantime, I could create a new environment that correctly installs v0.6:
$ conda create -n openff576 openforcefield
Collecting package metadata (current_repodata.json): done
Solving environment: done
## Package Plan ##
environment location: /home/jaime/.conda/envs/openff576
added / updated specs:
- openforcefield
The following packages will be downloaded:
package | build
---------------------------|-----------------
ambertools-19.11 | py37h00db77c_5 74.5 MB conda-forge
boost-1.72.0 | py37h9de70de_0 316 KB conda-forge
boost-cpp-1.72.0 | h8e57a91_0 21.8 MB conda-forge
cairo-1.16.0 | hcf35c78_1003 1.5 MB conda-forge
glib-2.58.3 |py37he00f558_1004 3.3 MB conda-forge
libtiff-4.1.0 | hc7e4089_6 668 KB conda-forge
libwebp-base-1.1.0 | h516909a_3 845 KB conda-forge
llvm-openmp-10.0.0 | hc9558a2_0 2.8 MB conda-forge
lz4-c-1.9.2 | he1b5a44_0 223 KB conda-forge
mistune-0.8.4 |py37h8f50634_1001 53 KB conda-forge
nbconvert-5.6.1 | py37hc8dfbb8_1 487 KB conda-forge
netcdf-fortran-4.5.2 |nompi_h45d7149_104 1.2 MB conda-forge
pillow-7.1.1 | py37h718be6c_0 654 KB conda-forge
pycairo-1.19.1 | py37h01af8b0_3 77 KB conda-forge
rdkit-2020.03.1 | py37hdd87690_1 24.7 MB conda-forge
scipy-1.4.1 | py37ha3d9a3c_3 18.8 MB conda-forge
urllib3-1.25.8 | py37hc8dfbb8_1 160 KB conda-forge
yaml-0.2.3 | h516909a_0 82 KB conda-forge
zstd-1.4.4 | h6597ccf_3 991 KB conda-forge
------------------------------------------------------------
Total: 153.0 MB
The following NEW packages will be INSTALLED:
_libgcc_mutex conda-forge/linux-64::_libgcc_mutex-0.1-conda_forge
_openmp_mutex conda-forge/linux-64::_openmp_mutex-4.5-1_llvm
ambertools conda-forge/linux-64::ambertools-19.11-py37h00db77c_5
attrs conda-forge/noarch::attrs-19.3.0-py_0
backcall conda-forge/noarch::backcall-0.1.0-py_0
bleach conda-forge/noarch::bleach-3.1.4-pyh9f0ad1d_0
boost conda-forge/linux-64::boost-1.72.0-py37h9de70de_0
boost-cpp conda-forge/linux-64::boost-cpp-1.72.0-h8e57a91_0
bson conda-forge/noarch::bson-0.5.9-py_0
bzip2 conda-forge/linux-64::bzip2-1.0.8-h516909a_2
ca-certificates conda-forge/linux-64::ca-certificates-2020.4.5.1-hecc5488_0
cairo conda-forge/linux-64::cairo-1.16.0-hcf35c78_1003
certifi conda-forge/linux-64::certifi-2020.4.5.1-py37hc8dfbb8_0
cffi conda-forge/linux-64::cffi-1.14.0-py37hd463f26_0
chardet conda-forge/linux-64::chardet-3.0.4-py37hc8dfbb8_1006
cryptography conda-forge/linux-64::cryptography-2.8-py37hb09aad4_2
curl conda-forge/linux-64::curl-7.69.1-h33f0ec9_0
cycler conda-forge/noarch::cycler-0.10.0-py_2
cython conda-forge/linux-64::cython-0.29.16-py37h3340039_0
decorator conda-forge/noarch::decorator-4.4.2-py_0
defusedxml conda-forge/noarch::defusedxml-0.6.0-py_0
entrypoints conda-forge/linux-64::entrypoints-0.3-py37hc8dfbb8_1001
fftw conda-forge/linux-64::fftw-3.3.8-nompi_h7f3a6c3_1110
fftw3f omnia/linux-64::fftw3f-3.3.4-2
fontconfig conda-forge/linux-64::fontconfig-2.13.1-h86ecdb6_1001
freetype conda-forge/linux-64::freetype-2.10.1-he06d7ca_0
gettext conda-forge/linux-64::gettext-0.19.8.1-hc5be6a0_1002
glib conda-forge/linux-64::glib-2.58.3-py37he00f558_1004
hdf4 conda-forge/linux-64::hdf4-4.2.13-hf30be14_1003
hdf5 conda-forge/linux-64::hdf5-1.10.5-nompi_h3c11f04_1104
icu conda-forge/linux-64::icu-64.2-he1b5a44_1
idna conda-forge/noarch::idna-2.9-py_1
importlib-metadata conda-forge/linux-64::importlib-metadata-1.6.0-py37hc8dfbb8_0
importlib_metadata conda-forge/noarch::importlib_metadata-1.6.0-0
ipykernel conda-forge/linux-64::ipykernel-5.2.0-py37h43977f1_1
ipython conda-forge/linux-64::ipython-7.13.0-py37hc8dfbb8_2
ipython_genutils conda-forge/noarch::ipython_genutils-0.2.0-py_1
jedi conda-forge/linux-64::jedi-0.16.0-py37hc8dfbb8_1
jinja2 conda-forge/noarch::jinja2-2.11.1-py_0
jpeg conda-forge/linux-64::jpeg-9c-h14c3975_1001
jsonschema conda-forge/linux-64::jsonschema-3.2.0-py37hc8dfbb8_1
jupyter_client conda-forge/noarch::jupyter_client-6.1.2-py_0
jupyter_core conda-forge/linux-64::jupyter_core-4.6.3-py37hc8dfbb8_1
kiwisolver conda-forge/linux-64::kiwisolver-1.2.0-py37h99015e2_0
krb5 conda-forge/linux-64::krb5-1.17.1-h2fd8d38_0
ld_impl_linux-64 conda-forge/linux-64::ld_impl_linux-64-2.34-h53a641e_0
libblas conda-forge/linux-64::libblas-3.8.0-16_openblas
libcblas conda-forge/linux-64::libcblas-3.8.0-16_openblas
libcurl conda-forge/linux-64::libcurl-7.69.1-hf7181ac_0
libedit conda-forge/linux-64::libedit-3.1.20170329-hf8c457e_1001
libffi conda-forge/linux-64::libffi-3.2.1-he1b5a44_1007
libgcc-ng conda-forge/linux-64::libgcc-ng-9.2.0-h24d8f2e_2
libgfortran-ng conda-forge/linux-64::libgfortran-ng-7.3.0-hdf63c60_5
libgomp conda-forge/linux-64::libgomp-9.2.0-h24d8f2e_2
libiconv conda-forge/linux-64::libiconv-1.15-h516909a_1006
liblapack conda-forge/linux-64::liblapack-3.8.0-16_openblas
libnetcdf conda-forge/linux-64::libnetcdf-4.7.4-nompi_h9f9fd6a_101
libopenblas conda-forge/linux-64::libopenblas-0.3.9-h5ec1e0e_0
libpng conda-forge/linux-64::libpng-1.6.37-hed695b0_1
libsodium conda-forge/linux-64::libsodium-1.0.17-h516909a_0
libssh2 conda-forge/linux-64::libssh2-1.8.2-h22169c7_2
libstdcxx-ng conda-forge/linux-64::libstdcxx-ng-9.2.0-hdf63c60_2
libtiff conda-forge/linux-64::libtiff-4.1.0-hc7e4089_6
libuuid conda-forge/linux-64::libuuid-2.32.1-h14c3975_1000
libwebp-base conda-forge/linux-64::libwebp-base-1.1.0-h516909a_3
libxcb conda-forge/linux-64::libxcb-1.13-h14c3975_1002
libxml2 conda-forge/linux-64::libxml2-2.9.10-hee79883_0
llvm-openmp conda-forge/linux-64::llvm-openmp-10.0.0-hc9558a2_0
lz4-c conda-forge/linux-64::lz4-c-1.9.2-he1b5a44_0
markupsafe conda-forge/linux-64::markupsafe-1.1.1-py37h8f50634_1
matplotlib-base conda-forge/linux-64::matplotlib-base-3.2.1-py37h30547a4_0
mistune conda-forge/linux-64::mistune-0.8.4-py37h8f50634_1001
msgpack-python conda-forge/linux-64::msgpack-python-1.0.0-py37h99015e2_1
nbconvert conda-forge/linux-64::nbconvert-5.6.1-py37hc8dfbb8_1
nbformat conda-forge/noarch::nbformat-5.0.4-py_0
ncurses conda-forge/linux-64::ncurses-6.1-hf484d3e_1002
netcdf-fortran conda-forge/linux-64::netcdf-fortran-4.5.2-nompi_h45d7149_104
networkx conda-forge/noarch::networkx-2.4-py_1
notebook conda-forge/linux-64::notebook-6.0.3-py37_0
numpy conda-forge/linux-64::numpy-1.18.1-py37h8960a57_1
olefile conda-forge/noarch::olefile-0.46-py_0
openforcefield omnia/linux-64::openforcefield-0.6.0-py37_1
openforcefields omnia/linux-64::openforcefields-1.1.0-py37_0
openmm omnia/linux-64::openmm-7.4.1-py37_cuda101_rc_1
openssl conda-forge/linux-64::openssl-1.1.1f-h516909a_0
packaging conda-forge/noarch::packaging-20.1-py_0
pandas conda-forge/linux-64::pandas-1.0.3-py37h0da4684_0
pandoc conda-forge/linux-64::pandoc-2.9.2-0
pandocfilters conda-forge/noarch::pandocfilters-1.4.2-py_1
parso conda-forge/noarch::parso-0.6.2-py_0
pcre conda-forge/linux-64::pcre-8.44-he1b5a44_0
perl conda-forge/linux-64::perl-5.26.2-h516909a_1006
pexpect conda-forge/linux-64::pexpect-4.8.0-py37hc8dfbb8_1
pickleshare conda-forge/linux-64::pickleshare-0.7.5-py37hc8dfbb8_1001
pillow conda-forge/linux-64::pillow-7.1.1-py37h718be6c_0
pip conda-forge/noarch::pip-20.0.2-py_2
pixman conda-forge/linux-64::pixman-0.38.0-h516909a_1003
prometheus_client conda-forge/noarch::prometheus_client-0.7.1-py_0
prompt-toolkit conda-forge/noarch::prompt-toolkit-3.0.5-py_0
pthread-stubs conda-forge/linux-64::pthread-stubs-0.4-h14c3975_1001
ptyprocess conda-forge/noarch::ptyprocess-0.6.0-py_1001
pycairo conda-forge/linux-64::pycairo-1.19.1-py37h01af8b0_3
pycparser conda-forge/noarch::pycparser-2.20-py_0
pygments conda-forge/noarch::pygments-2.6.1-py_0
pyopenssl conda-forge/noarch::pyopenssl-19.1.0-py_1
pyparsing conda-forge/noarch::pyparsing-2.4.7-pyh9f0ad1d_0
pyrsistent conda-forge/linux-64::pyrsistent-0.16.0-py37h8f50634_0
pysocks conda-forge/linux-64::pysocks-1.7.1-py37hc8dfbb8_1
python conda-forge/linux-64::python-3.7.6-h8356626_5_cpython
python-dateutil conda-forge/noarch::python-dateutil-2.8.1-py_0
python_abi conda-forge/linux-64::python_abi-3.7-1_cp37m
pytz conda-forge/noarch::pytz-2019.3-py_0
pyyaml conda-forge/linux-64::pyyaml-5.3.1-py37h8f50634_0
pyzmq conda-forge/linux-64::pyzmq-19.0.0-py37hac76be4_1
rdkit conda-forge/linux-64::rdkit-2020.03.1-py37hdd87690_1
readline conda-forge/linux-64::readline-8.0-hf8c457e_0
requests conda-forge/noarch::requests-2.23.0-pyh8c360ce_2
scipy conda-forge/linux-64::scipy-1.4.1-py37ha3d9a3c_3
send2trash conda-forge/noarch::send2trash-1.5.0-py_0
setuptools conda-forge/linux-64::setuptools-46.1.3-py37hc8dfbb8_0
six conda-forge/noarch::six-1.14.0-py_1
smirnoff99frosst omnia/linux-64::smirnoff99frosst-1.1.0-py37_1
sqlite conda-forge/linux-64::sqlite-3.30.1-hcee41ef_0
terminado conda-forge/linux-64::terminado-0.8.3-py37hc8dfbb8_1
testpath conda-forge/noarch::testpath-0.4.4-py_0
tk conda-forge/linux-64::tk-8.6.10-hed695b0_0
toml conda-forge/noarch::toml-0.10.0-py_0
tornado conda-forge/linux-64::tornado-6.0.4-py37h8f50634_1
traitlets conda-forge/linux-64::traitlets-4.3.3-py37hc8dfbb8_1
urllib3 conda-forge/linux-64::urllib3-1.25.8-py37hc8dfbb8_1
wcwidth conda-forge/noarch::wcwidth-0.1.9-pyh9f0ad1d_0
webencodings conda-forge/noarch::webencodings-0.5.1-py_1
wheel conda-forge/noarch::wheel-0.34.2-py_1
xmltodict conda-forge/noarch::xmltodict-0.12.0-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-libx11-1.6.9-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-libxt conda-forge/linux-64::xorg-libxt-1.2.0-h516909a_0
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 conda-forge/linux-64::xz-5.2.5-h516909a_0
yaml conda-forge/linux-64::yaml-0.2.3-h516909a_0
zeromq conda-forge/linux-64::zeromq-4.3.2-he1b5a44_2
zipp conda-forge/noarch::zipp-3.1.0-py_0
zlib conda-forge/linux-64::zlib-1.2.11-h516909a_1006
zstd conda-forge/linux-64::zstd-1.4.4-h6597ccf_3
How are your channels defined? Mine are:
$ conda config --show
[...]
channel_priority: flexible
channels:
- conda-forge
- defaults
- omnia
[...]
channel_alias: https://conda.anaconda.org
channel_priority: flexible
channels:
- conda-forge
- omnia
- defaults
client_ssl_cert: None
client_ssl_cert_key: None
Try putting omnia under defaults. You should see these contents in ~/.condarc.
No, it didn't work. Here is the conda config section after the reorder:
channel_alias: https://conda.anaconda.org
channel_priority: flexible
channels:
- conda-forge
- defaults
- omnia
client_ssl_cert: None
here is the output of the conda install openforcefield:
Solving environment: -
The environment is inconsistent, please check the package plan carefully
The following packages are causing the inconsistency:
- <unknown>/linux-64::openforcefield==0.6.0=py37_1 done
## Package Plan ##
environment location: /home/kael/anaconda3
added / updated specs:
- openforcefield
The following packages will be SUPERSEDED by a higher-priority channel:
openforcefield <unknown>::openforcefield-0.6.0-py37_1 --> omnia::openforcefield-0.0.4-py37_1
Can you try _creating a new environment_ instead of installing the package on the base one? That will make it easier for the dep solver:
conda create -n openforcefield openforcefield
conda activate openforcefield
Here is the output of conda create -n openforcefield openforcefield
Collecting package metadata (current_repodata.json): done
Solving environment: done
## Package Plan ##
environment location: /home/kael/anaconda3/envs/openforcefield
added / updated specs:
- openforcefield
The following packages will be downloaded:
package | build
---------------------------|-----------------
_libgcc_mutex-0.1 | conda_forge 3 KB conda-forge
_openmp_mutex-4.5 | 1_llvm 5 KB conda-forge
ambertools-19.11 | py37h00db77c_5 74.5 MB conda-forge
backcall-0.1.0 | py_0 13 KB conda-forge
bleach-3.1.4 | pyh9f0ad1d_0 111 KB conda-forge
boost-1.72.0 | py37h9de70de_0 316 KB conda-forge
boost-cpp-1.72.0 | h8e57a91_0 21.8 MB conda-forge
bson-0.5.9 | py_0 14 KB conda-forge
bzip2-1.0.8 | h516909a_2 396 KB conda-forge
ca-certificates-2020.4.5.1 | hecc5488_0 146 KB conda-forge
cairo-1.16.0 | hcf35c78_1003 1.5 MB conda-forge
certifi-2020.4.5.1 | py37hc8dfbb8_0 151 KB conda-forge
cffi-1.14.0 | py37hd463f26_0 221 KB conda-forge
chardet-3.0.4 |py37hc8dfbb8_1006 169 KB conda-forge
cryptography-2.8 | py37hb09aad4_2 617 KB conda-forge
curl-7.69.1 | h33f0ec9_0 137 KB conda-forge
cycler-0.10.0 | py_2 9 KB conda-forge
cython-0.29.16 | py37h3340039_0 2.2 MB conda-forge
decorator-4.4.2 | py_0 11 KB conda-forge
entrypoints-0.3 |py37hc8dfbb8_1001 12 KB conda-forge
fftw-3.3.8 |nompi_h7f3a6c3_1110 5.8 MB conda-forge
fontconfig-2.13.1 | h86ecdb6_1001 340 KB conda-forge
freetype-2.10.1 | he06d7ca_0 877 KB conda-forge
gettext-0.19.8.1 | hc5be6a0_1002 3.6 MB conda-forge
glib-2.58.3 |py37he00f558_1004 3.3 MB conda-forge
hdf4-4.2.13 | hf30be14_1003 964 KB conda-forge
hdf5-1.10.5 |nompi_h3c11f04_1104 3.1 MB conda-forge
icu-64.2 | he1b5a44_1 12.6 MB conda-forge
idna-2.9 | py_1 52 KB conda-forge
importlib-metadata-1.6.0 | py37hc8dfbb8_0 43 KB conda-forge
importlib_metadata-1.6.0 | 0 3 KB conda-forge
ipykernel-5.2.0 | py37h43977f1_1 161 KB conda-forge
ipython-7.13.0 | py37hc8dfbb8_2 1.1 MB conda-forge
ipython_genutils-0.2.0 | py_1 21 KB conda-forge
jedi-0.16.0 | py37hc8dfbb8_1 778 KB conda-forge
jpeg-9c | h14c3975_1001 251 KB conda-forge
jsonschema-3.2.0 | py37hc8dfbb8_1 89 KB conda-forge
jupyter_client-6.1.2 | py_0 74 KB conda-forge
jupyter_core-4.6.3 | py37hc8dfbb8_1 71 KB conda-forge
kiwisolver-1.2.0 | py37h99015e2_0 87 KB conda-forge
krb5-1.17.1 | h2fd8d38_0 1.5 MB conda-forge
ld_impl_linux-64-2.34 | h53a641e_0 616 KB conda-forge
libblas-3.8.0 | 16_openblas 10 KB conda-forge
libcblas-3.8.0 | 16_openblas 10 KB conda-forge
libcurl-7.69.1 | hf7181ac_0 573 KB conda-forge
libedit-3.1.20170329 | hf8c457e_1001 172 KB conda-forge
libffi-3.2.1 | he1b5a44_1007 47 KB conda-forge
libgcc-ng-9.2.0 | h24d8f2e_2 8.2 MB conda-forge
libgfortran-ng-7.3.0 | hdf63c60_5 1.7 MB conda-forge
libgomp-9.2.0 | h24d8f2e_2 816 KB conda-forge
libiconv-1.15 | h516909a_1006 2.0 MB conda-forge
liblapack-3.8.0 | 16_openblas 10 KB conda-forge
libnetcdf-4.7.4 |nompi_h9f9fd6a_101 1.3 MB conda-forge
libopenblas-0.3.9 | h5ec1e0e_0 7.8 MB conda-forge
libpng-1.6.37 | hed695b0_1 308 KB conda-forge
libsodium-1.0.17 | h516909a_0 330 KB conda-forge
libssh2-1.8.2 | h22169c7_2 257 KB conda-forge
libstdcxx-ng-9.2.0 | hdf63c60_2 4.5 MB conda-forge
libtiff-4.1.0 | hc7e4089_6 668 KB conda-forge
libuuid-2.32.1 | h14c3975_1000 26 KB conda-forge
libwebp-base-1.1.0 | h516909a_3 845 KB conda-forge
libxcb-1.13 | h14c3975_1002 396 KB conda-forge
libxml2-2.9.10 | hee79883_0 1.3 MB conda-forge
llvm-openmp-10.0.0 | hc9558a2_0 2.8 MB conda-forge
lz4-c-1.9.2 | he1b5a44_0 223 KB conda-forge
markupsafe-1.1.1 | py37h8f50634_1 26 KB conda-forge
matplotlib-base-3.2.1 | py37h30547a4_0 7.1 MB conda-forge
mistune-0.8.4 |py37h8f50634_1001 53 KB conda-forge
msgpack-python-1.0.0 | py37h99015e2_1 90 KB conda-forge
nbconvert-5.6.1 | py37hc8dfbb8_1 487 KB conda-forge
ncurses-6.1 | hf484d3e_1002 1.3 MB conda-forge
netcdf-fortran-4.5.2 |nompi_h45d7149_104 1.2 MB conda-forge
networkx-2.4 | py_1 1.2 MB conda-forge
numpy-1.18.1 | py37h8960a57_1 5.2 MB conda-forge
olefile-0.46 | py_0 31 KB conda-forge
openforcefield-0.6.0 | py37_1 29.7 MB omnia
openssl-1.1.1f | h516909a_0 2.1 MB conda-forge
pandas-1.0.3 | py37h0da4684_0 11.1 MB conda-forge
pandoc-2.9.2 | 0 16.8 MB conda-forge
pandocfilters-1.4.2 | py_1 9 KB conda-forge
parso-0.6.2 | py_0 66 KB conda-forge
pcre-8.44 | he1b5a44_0 261 KB conda-forge
perl-5.26.2 | h516909a_1006 15.4 MB conda-forge
pexpect-4.8.0 | py37hc8dfbb8_1 79 KB conda-forge
pickleshare-0.7.5 |py37hc8dfbb8_1001 13 KB conda-forge
pillow-7.1.1 | py37h718be6c_0 654 KB conda-forge
pip-20.0.2 | py_2 1.0 MB conda-forge
pixman-0.38.0 | h516909a_1003 594 KB conda-forge
prompt-toolkit-3.0.5 | py_0 232 KB conda-forge
pthread-stubs-0.4 | h14c3975_1001 5 KB conda-forge
ptyprocess-0.6.0 | py_1001 15 KB conda-forge
pycairo-1.19.1 | py37h01af8b0_3 77 KB conda-forge
pycparser-2.20 | py_0 89 KB conda-forge
pygments-2.6.1 | py_0 683 KB conda-forge
pyopenssl-19.1.0 | py_1 47 KB conda-forge
pyparsing-2.4.7 | pyh9f0ad1d_0 60 KB conda-forge
pyrsistent-0.16.0 | py37h8f50634_0 89 KB conda-forge
pysocks-1.7.1 | py37hc8dfbb8_1 27 KB conda-forge
python-3.7.6 |h8356626_5_cpython 52.9 MB conda-forge
pyyaml-5.3.1 | py37h8f50634_0 185 KB conda-forge
pyzmq-19.0.0 | py37hac76be4_1 503 KB conda-forge
rdkit-2020.03.1 | py37hdd87690_1 24.7 MB conda-forge
readline-8.0 | hf8c457e_0 441 KB conda-forge
requests-2.23.0 | pyh8c360ce_2 47 KB conda-forge
scipy-1.4.1 | py37ha3d9a3c_3 18.8 MB conda-forge
send2trash-1.5.0 | py_0 12 KB conda-forge
setuptools-46.1.3 | py37hc8dfbb8_0 634 KB conda-forge
six-1.14.0 | py_1 13 KB conda-forge
smirnoff99frosst-1.1.0 | py37_1 72 KB omnia
sqlite-3.30.1 | hcee41ef_0 2.0 MB conda-forge
terminado-0.8.3 | py37hc8dfbb8_1 23 KB conda-forge
tk-8.6.10 | hed695b0_0 3.2 MB conda-forge
toml-0.10.0 | py_0 16 KB conda-forge
tornado-6.0.4 | py37h8f50634_1 639 KB conda-forge
traitlets-4.3.3 | py37hc8dfbb8_1 133 KB conda-forge
urllib3-1.25.8 | py37hc8dfbb8_1 160 KB conda-forge
wcwidth-0.1.9 | pyh9f0ad1d_0 20 KB conda-forge
webencodings-0.5.1 | py_1 12 KB conda-forge
wheel-0.34.2 | py_1 24 KB conda-forge
xorg-kbproto-1.0.7 | h14c3975_1002 26 KB conda-forge
xorg-libice-1.0.10 | h516909a_0 57 KB conda-forge
xorg-libsm-1.2.3 | h84519dc_1000 25 KB conda-forge
xorg-libx11-1.6.9 | h516909a_0 918 KB conda-forge
xorg-libxau-1.0.9 | h14c3975_0 13 KB conda-forge
xorg-libxdmcp-1.1.3 | h516909a_0 18 KB conda-forge
xorg-libxext-1.3.4 | h516909a_0 51 KB conda-forge
xorg-libxrender-0.9.10 | h516909a_1002 31 KB conda-forge
xorg-libxt-1.2.0 | h516909a_0 374 KB conda-forge
xorg-renderproto-0.11.1 | h14c3975_1002 8 KB conda-forge
xorg-xextproto-7.3.0 | h14c3975_1002 27 KB conda-forge
xorg-xproto-7.0.31 | h14c3975_1007 72 KB conda-forge
xz-5.2.5 | h516909a_0 430 KB conda-forge
yaml-0.2.3 | h516909a_0 82 KB conda-forge
zeromq-4.3.2 | he1b5a44_2 668 KB conda-forge
zipp-3.1.0 | py_0 10 KB conda-forge
zlib-1.2.11 | h516909a_1006 105 KB conda-forge
zstd-1.4.4 | h6597ccf_3 991 KB conda-forge
------------------------------------------------------------
Total: 375.8 MB
The following NEW packages will be INSTALLED:
It seems that the pkgs are correctly solved.
Do I need to continue to download the pkgs for your further diagnosis?
(It does not trouble much ...)
Never mind, The pkgs are being downloaded. I will test the case after the new environment is completed.
#
Though, it seems that the major difference here, is my ambertools pkg.
my ambertools is from the source of ambermd, with size of about 150M, much larger than that on the above list.
ambermd's ambertools might have a different build process than the one in conda-forge. It bundles several libraries instead of adding them as conda dependencies, for example. That might explain the file size difference.
CondaError: Downloaded bytes did not match Content-Length
url: https://conda.anaconda.org/conda-forge/linux-64/python-3.7.6-h8356626_5_cpython.tar.bz2
target_path: /home/kael/anaconda3/pkgs/python-3.7.6-h8356626_5_cpython.tar.bz2
Content-Length: 55424091
downloaded bytes: 24127919
CondaHTTPError: HTTP 000 CONNECTION FAILED for url <https://conda.anaconda.org/conda-forge/linux-64/rdkit-2020.03.1-py37hdd87690_1.tar.bz2>
Elapsed: -
An HTTP error occurred when trying to retrieve this URL.
HTTP errors are often intermittent, and a simple retry will get you on your way.
CondaHTTPError: HTTP 000 CONNECTION FAILED for url <https://conda.anaconda.org/omnia/linux-64/openforcefield-0.6.0-py37_1.tar.bz2>
Elapsed: -
An HTTP error occurred when trying to retrieve this URL.
HTTP errors are often intermittent, and a simple retry will get you on your way.
CondaHTTPError: HTTP 000 CONNECTION FAILED for url <https://conda.anaconda.org/conda-forge/linux-64/tk-8.6.10-hed695b0_0.tar.bz2>
Elapsed: -
An HTTP error occurred when trying to retrieve this URL.
HTTP errors are often intermittent, and a simple retry will get you on your way.
(base) [kael@ecs-s6-large-2-linux-20200412093116 ~]$
Socket error Event: 32 Error: 10053.
Connection closing...Socket close.
Connection closed by foreign host.
That's very odd, @Kael-the-Mad. I also had some weird behavior from some conda channels earlier today, but it seems to have cleared up now. Are you still getting that error?
I've seen the solver try to "upgrade" to 0.0.4 before -- It's a much earlier version of the toolkit, so it had far fewer dependencies. Usually it means that dependencies from conda-forge and omnia can't be found, so the only OpenFF Toolkit version that can have its dependencies satisfied is 0.0.4.
After that failure, I have tried conda install -c omnia openforcefield on a totally different CentOS server.
Yet, the output is even worse:
$ conda install -c omnia openforcefield
Collecting package metadata (current_repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source.
Collecting package metadata (repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: |
Found conflicts! Looking for incompatible packages. failed
UnsatisfiableError: The following specifications were found to be incompatible with each other:
Output in format: Requested package -> Available versions
It seems that the only successful try to install openforcefield into the 'base' env is to manually install the *v0.6.0 tar.gz locally.
Creating new environment seems to require too much downloading to the (commercial) cloud servers: once get stuck by several pkgs, the full process could be ruined somehow. (Or I should try my luck later ...)
Maybe the openforcefield pkg is being maintained. Even creating new environment $ conda create -n openforcefield openforcefield failed...
Collecting package metadata (current_repodata.json): done
Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source.
Collecting package metadata (repodata.json): done
Solving environment: failed
PackagesNotFoundError: The following packages are not available from current channels:
- openforcefield
Current channels:
- https://repo.anaconda.com/pkgs/main/linux-64
- https://repo.anaconda.com/pkgs/main/noarch
- https://repo.anaconda.com/pkgs/r/linux-64
- https://repo.anaconda.com/pkgs/r/noarch
To search for alternate channels that may provide the conda package you're
looking for, navigate to
https://anaconda.org
and use the search bar at the top of the page.
The openforcefield project really makes the simulation involving small molecules much more convenient.
Hopefully this could be fixed soon!
In this last attempt you are missing the needed channels. Correct command if those channels are not part of your permanent configuration (~/.condarc) is:
conda create -n openforcefield -c conda-forge -c omnia openforcefield
Thanks for the reminder. You are right.
I will try to create a new env on a third server node one more time.
nohup conda create -n openforcefield -c conda-forge -c omnia -y openforcefield &
I will check it and report in time.
...
pandoc-2.9.2.1 | 18.7 MB | ########## | 100%
==> WARNING: A newer version of conda exists. <==
current version: 4.8.2
latest version: 4.8.3
Please update conda by running
$ conda update -n base -c defaults conda
CondaError: Downloaded bytes did not match Content-Length
url: https://conda.anaconda.org/conda-forge/linux-64/rdkit-2020.03.1-py37hdd87690_1.tar.bz2
target_path: /home/kael/anaconda3/pkgs/rdkit-2020.03.1-py37hdd87690_1.tar.bz2
Content-Length: 25866956
downloaded bytes: 20781501
CondaHTTPError: HTTP 000 CONNECTION FAILED for url <https://conda.anaconda.org/omnia/linux-64/openforcefield-0.6.0-py37_1.tar.bz2>
Elapsed: -
An HTTP error occurred when trying to retrieve this URL.
HTTP errors are often intermittent, and a simple retry will get you on your way.
There is no new env called 'openforcefield'.
Is there a way to 'continue' the download, to only download the previously unavailable pkgs?
By simply running again the nohup conda create -n openforcefield -c conda-forge -c omnia -y openforcefield &, could conda 'remember' that it has downloaded almost all the pkgs, but a few exceptions?
could conda 'remember' that it has downloaded almost all the pkgs, but a few exceptions?
That has been my experience -- I have several packages automatically cached on my computer, so new installs only need to download a few others. And you're using an up-to-date version of conda (4.8) so I'd expect it to have that behavior for you as well.
Thanks so much for digging into this. If you're free to continue, I'd love to figure out if there's a way to make these installations work reliably. However my best guess is that the internet is really saturated right now, and you are far from the package server.
In case you're unable to get the OFF Toolkit installed on a computer where you need it, an alternative is that we provide stable offline installers (which include all dependencies) with each release. For example you can get a "miniconda"-style installer for our latest release in the Assets section of the 0.6.0 GitHub release.
Inspired by your experience, I continued the conda create -n openforcefield -c conda-forge -c omnia openforcefield. As you expected, the installation has been interrupted by bad internet several times. But the trials got normal conda responses. Finally, the installation is finished (as shown below.)
Proceed ([y]/n)? y
Downloading and Extracting Packages
openforcefield-0.6.0 | 29.7 MB | ################################################################################## | 100%
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
#
# To activate this environment, use
#
# $ conda activate openforcefield
#
# To deactivate an active environment, use
#
# $ conda deactivate
I will test the examples (with the *.xml replaced), and report later.
I think this has proved that at least the conda create -n env ... would work.
Besides, the commercial cloud servers are located in Beijing, China, and owned by Huawei and Tencent companies. Linux release is CentOS Linux release 7.6.1810 (Core). Downloaded Anaconda installer is 'Anaconda3-2020.02-Linux-x86_64.sh'.
plus
All I need to pay is a little patience for the internet, then I could use an open-source and free of charge tool. Thank you!
I am learning to pack the newly created environment, then transfer it to the other servers.
If you want to add some new tests, please leave a message here.
I'm very happy to see that this works. I'll close this issue for now, since it seems to have been due to internet connectivity, but please feel free to re-open it if you have additional questions.
I am learning to pack the newly created environment, then transfer it to the other servers.
If you are looking for an installation that you can easily transfer to other servers, you should consider using our single-file installers. They work like Miniconda (so they "just install" on basically any system), and once installed, you can add/update conda packages and environments. Full instructions for using these builds are here.
Most helpful comment
Thanks for the reminder. You are right.
I will try to create a new env on a third server node one more time.
nohup conda create -n openforcefield -c conda-forge -c omnia -y openforcefield &I will check it and report in time.