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ReTReK: data-driven ReTrosynthesis planning application using Retrosynthesis Knowledge

License: MIT License

Java 2.69% CSS 1.29% Python 19.42% Pawn 76.37% HTML 0.23%

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retrek's Issues

Deprecated Dependency Versions in Environment.yml

Hi Team,

I need a little help. I am trying to create an environment using the defult environent.yml in a ubuntu 18.04.6 ARM machine.
But I am facing issues with the following packages-

  • freetype==2.9.1=h8a8886c_1
  • libxslt==1.1.33=h7d1a2b0_0
  • setuptools==46.4.0=py37_0
  • yaml==0.1.7=had09818_2
  • intel-openmp==2020.1=217
  • mkl==2020.1=217
  • tensorflow==1.13.1=gpu_py37hc158e3b_0
  • itsdangerous==1.1.0=py37_0
  • scikit-learn==0.22.1=py37hd81dba3_0
  • libstdcxx-ng==9.1.0=hdf63c60_0
  • pyzmq==18.1.1=py37he6710b0_0
  • lxml==4.5.0=py37hefd8a0e_0
  • beautifulsoup4==4.9.1=py37_0
  • icu==58.2=he6710b0_3
  • lz4-c==1.9.2=he6710b0_0
  • webencodings==0.5.1=py37_1
  • ipykernel==5.1.4=py37h39e3cac_0
  • mkl-service==2.3.0=py37he904b0f_0
  • libtiff==4.1.0=h2733197_1
  • docopt==0.6.2=py37_0
  • libboost==1.67.0=h46d08c1_4
  • sip==4.19.8=py37hf484d3e_0
  • blas==1.0=mkl
  • libffi==3.3=he6710b0_1
  • openssl==1.1.1g=h7b6447c_0
  • cffi==1.14.0=py37he30daa8_1
  • send2trash==1.5.0=py37_0
  • astor==0.8.0=py37_0
  • zeromq==4.3.1=he6710b0_3
  • _tflow_select==2.1.0=gpu
  • dbus==1.13.14=hb2f20db_0
  • gst-plugins-base==1.14.0=hbbd80ab_1
  • ld_impl_linux-64==2.33.1=h53a641e_7
  • tensorboard==1.13.1=py37hf484d3e_0
  • sqlite==3.31.1=h62c20be_1
  • pyqt==5.9.2=py37h05f1152_2
  • hdf5==1.10.4=hb1b8bf9_0
  • py4j==0.10.8.1=py37_0
  • cycler==0.10.0=py37_0
  • cudnn==7.6.5=cuda10.0_0
  • cudatoolkit==10.0.130=0
  • libgfortran-ng==7.3.0=hdf63c60_0
  • qt==5.9.7=h5867ecd_1
  • c-ares==1.15.0=h7b6447c_1001
  • numpy-base==1.18.1=py37hde5b4d6_1
  • glib==2.63.1=h3eb4bd4_1
  • libedit==3.1.20181209=hc058e9b_0
  • kiwisolver==1.2.0=py37hfd86e86_0
  • libgcc-ng==9.1.0=hdf63c60_0
  • ncurses==6.2=he6710b0_1
  • pyyaml==5.3.1=py37h7b6447c_0
  • matplotlib-base==3.1.3=py37hef1b27d_0
  • expat==2.2.6=he6710b0_0
  • pickleshare==0.7.5=py37_0
  • libxml2==2.9.9=hea5a465_1
  • cairo==1.14.12=h8948797_3
  • markdown==3.1.1=py37_0
  • entrypoints==0.3=py37_0
  • numpy==1.18.1=py37h4f9e942_0
  • libuuid==1.0.3=h1bed415_2
  • mistune==0.8.4=py37h7b6447c_0
  • ipython==7.13.0=py37h5ca1d4c_0
  • pyrsistent==0.16.0=py37h7b6447c_0
  • zstd==1.4.4=h0b5b093_3
  • pandas==1.0.3=py37h0573a6f_0
  • tensorflow-base==1.13.1=gpu_py37h8d69cac_0
  • libpng==1.6.37=hbc83047_0
  • importlib-metadata==1.6.0=py37_0
  • markupsafe==1.1.1=py37h7b6447c_0
  • py-boost==1.67.0=py37h04863e7_4
  • ipython_genutils==0.2.0=py37_0
  • tensorflow-gpu==1.13.1=h0d30ee6_0
  • absl-py==0.9.0=py37_0
  • urllib3==1.25.8=py37_0
  • python==3.7.7=hcff3b4d_5
  • gmp==6.1.2=h6c8ec71_1
  • cupti==10.0.130=0
  • jpeg==9b=h024ee3a_2
  • readline==8.0=h7b6447c_0
  • pcre==8.43=he6710b0_0
  • h5py==2.10.0=py37h7918eee_0
  • mkl_random==1.1.1=py37h0573a6f_0
  • pillow==7.1.2=py37hb39fc2d_0
  • jedi==0.17.0=py37_0
  • ca-certificates==2020.1.1=0
  • keras-base==2.3.1=py37_0
  • pandocfilters==1.4.2=py37_1
  • pixman==0.38.0=h7b6447c_0
  • gstreamer==1.14.0=hb31296c_0
  • xz==5.2.5=h7b6447c_0
  • tk==8.6.8=hbc83047_0
  • fontconfig==2.13.0=h9420a91_0
  • bzip2==1.0.8=h7b6447c_0
  • pandoc==2.2.3.2=0
  • pip==20.0.2=py37_3
  • libsodium==1.0.16=h1bed415_0
  • jupyter==1.0.0=py37_7
  • scipy==1.4.1=py37h0b6359f_0
  • certifi==2020.4.5.1=py37_0
  • libprotobuf==3.11.4=hd408876_0
  • sqlalchemy==1.3.17=py37h7b6447c_0
  • tornado==6.0.4=py37h7b6447c_1
  • ptyprocess==0.6.0=py37_0
  • libxcb==1.13=h1bed415_1
  • grpcio==1.27.2=py37hf8bcb03_0
  • protobuf==3.11.4=py37he6710b0_0
  • backcall==0.1.0=py37_0
  • rdkit==2020.03.2.0=py37hc20afe1_1
  • zlib==1.2.11=h7b6447c_3
  • keras-gpu==2.3.1=0
  • mkl_fft==1.0.15=py37ha843d7b_0
  • termcolor==1.1.0=py37_1
  • cryptography==2.9.2=py37h1ba5d50_0

While checking conda channels, I found that the versions and build mentioned above are not available.
I have not worked with conda before.
Kindly let me know if there is an easy way to replace them with an existing version/build wihtout having to perform conda search for each packages and updating the info individually/manually.

If you can update the environment.yml file from your side, that would be much appreciated.

jchem version related question

error syntax :

(retrek) root@12d7c7a2ac87:~/ReTReK# javac CxnUtils.java
CxnUtils.java:1: error: cannot access ValenceErrorChecker
import chemaxon.checkers.ValenceErrorChecker;
^
bad class file: /opt/opt/chemaxon/jchemsuite/lib/com.chemaxon-structurechecker.jar(chemaxon/checkers/ValenceErrorChecker.class)
class file has wrong version 55.0, should be 52.0
Please remove or make sure it appears in the correct subdirectory of the classpath.

question:

Currently, only jchem version 20.19 is available. I wonder if there is no way to use it other than the 20.13 version suggested in the instructions.

Could you please share the version linux installation file?

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