On a clean install of QR 2.5.0, I noticed that the conda environment is inconsistent out of the box. When attempting to install conda-build
, conda tries to update/install the following packages to fix the env:
(base) root@b913d23331fa:/codeload# conda install conda-build
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:
- https://repo.continuum.io/pkgs/free/linux-64::anaconda==4.4.0=np112py36_0
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: -
The environment is inconsistent, please check the package plan carefully
The following packages are causing the inconsistency:
- https://repo.continuum.io/pkgs/free/linux-64::anaconda==4.4.0=np112py36_0
done
## Package Plan ##
environment location: /opt/conda
added / updated specs:
- conda-build
The following packages will be downloaded:
package | build
---------------------------|-----------------
_anaconda_depends-5.0.1 | py36hd30a520_1 6 KB
anaconda-custom | py36_1 3 KB
backports.shutil_get_terminal_size-1.0.0| pyhd3eb1b0_3 10 KB
bkcharts-0.2 | py36_0 133 KB
bzip2-1.0.8 | h7b6447c_0 78 KB
ca-certificates-2021.1.19 | h06a4308_1 118 KB
certifi-2020.12.5 | py36h06a4308_0 140 KB
conda-4.10.0 | py36h06a4308_0 2.9 MB
conda-build-3.15.1 | py36_0 447 KB
dask-core-2021.3.0 | pyhd3eb1b0_0 659 KB
filelock-3.0.12 | pyhd3eb1b0_1 10 KB
glob2-0.7 | pyhd3eb1b0_0 12 KB
gmp-6.2.1 | h2531618_2 539 KB
gmpy2-2.0.8 | py36h10f8cd9_2 150 KB
graphite2-1.3.14 | h23475e2_0 99 KB
imageio-2.9.0 | pyhd3eb1b0_0 3.0 MB
intel-openmp-2019.4 | 243 729 KB
json5-0.9.5 | py_0 22 KB
jupyterlab-1.0.2 | py36hf63ae98_0 6.2 MB
jupyterlab_launcher-0.13.1 | py_2 23 KB
jupyterlab_server-1.0.0 | py_0 26 KB
libedit-3.1.20210216 | h27cfd23_1 167 KB
libgfortran-ng-8.2.0 | hdf63c60_1 1.3 MB
libssh2-1.8.0 | h9cfc8f7_4 213 KB
lzo-2.10 | h7b6447c_2 184 KB
mccabe-0.6.1 | py36_1 14 KB
mpc-1.1.0 | h10f8cd9_1 90 KB
mpfr-4.0.2 | hb69a4c5_1 487 KB
ncurses-6.2 | he6710b0_1 817 KB
openssl-1.0.2u | h7b6447c_0 2.2 MB
pandoc-2.12 | h06a4308_0 9.5 MB
patchelf-0.12 | h2531618_1 88 KB
pkginfo-1.7.0 | py36h06a4308_0 43 KB
pycodestyle-2.7.0 | pyhd3eb1b0_0 41 KB
sphinxcontrib-1.0 | py36_1 4 KB
sphinxcontrib-websupport-1.2.4| py_0 34 KB
typing-3.7.4.3 | py36h06a4308_0 12 KB
webencodings-0.5.1 | py36_1 19 KB
------------------------------------------------------------
Total: 30.3 MB
The following NEW packages will be INSTALLED:
_anaconda_depends pkgs/main/linux-64::_anaconda_depends-5.0.1-py36hd30a520_1
backports.shutil_~ pkgs/main/noarch::backports.shutil_get_terminal_size-1.0.0-pyhd3eb1b0_3
bkcharts pkgs/main/linux-64::bkcharts-0.2-py36_0
bzip2 pkgs/main/linux-64::bzip2-1.0.8-h7b6447c_0
ca-certificates pkgs/main/linux-64::ca-certificates-2021.1.19-h06a4308_1
conda-build pkgs/main/linux-64::conda-build-3.15.1-py36_0
dask-core pkgs/main/noarch::dask-core-2021.3.0-pyhd3eb1b0_0
filelock pkgs/main/noarch::filelock-3.0.12-pyhd3eb1b0_1
glob2 pkgs/main/noarch::glob2-0.7-pyhd3eb1b0_0
gmp pkgs/main/linux-64::gmp-6.2.1-h2531618_2
gmpy2 pkgs/main/linux-64::gmpy2-2.0.8-py36h10f8cd9_2
graphite2 pkgs/main/linux-64::graphite2-1.3.14-h23475e2_0
imageio pkgs/main/noarch::imageio-2.9.0-pyhd3eb1b0_0
intel-openmp pkgs/main/linux-64::intel-openmp-2019.4-243
json5 pkgs/main/noarch::json5-0.9.5-py_0
jupyterlab pkgs/main/linux-64::jupyterlab-1.0.2-py36hf63ae98_0
jupyterlab_launch~ pkgs/main/noarch::jupyterlab_launcher-0.13.1-py_2
jupyterlab_server pkgs/main/noarch::jupyterlab_server-1.0.0-py_0
libedit pkgs/main/linux-64::libedit-3.1.20210216-h27cfd23_1
libgfortran-ng pkgs/main/linux-64::libgfortran-ng-8.2.0-hdf63c60_1
libssh2 pkgs/main/linux-64::libssh2-1.8.0-h9cfc8f7_4
lzo pkgs/main/linux-64::lzo-2.10-h7b6447c_2
mccabe pkgs/main/linux-64::mccabe-0.6.1-py36_1
mpc pkgs/main/linux-64::mpc-1.1.0-h10f8cd9_1
mpfr pkgs/main/linux-64::mpfr-4.0.2-hb69a4c5_1
ncurses pkgs/main/linux-64::ncurses-6.2-he6710b0_1
pandoc pkgs/main/linux-64::pandoc-2.12-h06a4308_0
patchelf pkgs/main/linux-64::patchelf-0.12-h2531618_1
pkginfo pkgs/main/linux-64::pkginfo-1.7.0-py36h06a4308_0
pycodestyle pkgs/main/noarch::pycodestyle-2.7.0-pyhd3eb1b0_0
sphinxcontrib pkgs/main/linux-64::sphinxcontrib-1.0-py36_1
sphinxcontrib-web~ pkgs/main/noarch::sphinxcontrib-websupport-1.2.4-py_0
typing pkgs/main/linux-64::typing-3.7.4.3-py36h06a4308_0
webencodings pkgs/main/linux-64::webencodings-0.5.1-py36_1
The following packages will be UPDATED:
certifi anaconda::certifi-2020.6.20-py36_0 --> pkgs/main::certifi-2020.12.5-py36h06a4308_0
conda anaconda::conda-4.9.0-py36_0 --> pkgs/main::conda-4.10.0-py36h06a4308_0
openssl pkgs/free::openssl-1.0.2l-0 --> pkgs/main::openssl-1.0.2u-h7b6447c_0
The following packages will be SUPERSEDED by a higher-priority channel:
anaconda pkgs/free::anaconda-4.4.0-np112py36_0 --> pkgs/main::anaconda-custom-py36_1
Proceed ([y]/n)? n
CondaSystemExit: Exiting.
If you proceed with the fix, zipline
will fail to start the next time the container is restarted (I think it's some conflict with dask-core
). This makes it impossible to manage Python packages using conda
. I think previous versions of QR had inconsistent conda environments, but either QR 2.5 has a change that's more sensitive or some downstream dependency is causing a new failure.