Closed adrenaholicgeek closed 3 months ago
conda install -n root -c conda-forge conda-smithy Channels: conda-forge defaults Platform: linux-64 Collecting package metadata (repodata.json): done Solving environment: - Killed
conda install -n root -c conda-forge conda-smithy Channels:
>> conda list # packages in environment at /home/arashkm/miniconda3: # # Name Version Build Channel _libgcc_mutex 0.1 conda_forge conda-forge _openmp_mutex 4.5 2_gnu conda-forge archspec 0.2.1 pyhd3eb1b0_0 argcomplete 3.2.1 pyhd8ed1ab_0 conda-forge attrs 23.1.0 py311h06a4308_0 beautifulsoup4 4.12.2 py311h06a4308_0 boltons 23.0.0 py311h06a4308_0 brotli-python 1.0.9 py311h6a678d5_7 bzip2 1.0.8 h7b6447c_0 c-ares 1.19.1 h5eee18b_0 ca-certificates 2024.2.2 hbcca054_0 conda-forge certifi 2024.2.2 pyhd8ed1ab_0 conda-forge cffi 1.15.1 py311h5eee18b_3 chardet 4.0.0 py311h06a4308_1003 charset-normalizer 2.0.4 pyhd3eb1b0_0 click 8.1.7 py311h06a4308_0 conda 24.1.2 py311h38be061_0 conda-forge conda-build 3.28.1 py311h06a4308_0 conda-content-trust 0.2.0 py311h06a4308_0 conda-index 0.3.0 py311h06a4308_0 conda-libmamba-solver 23.11.1 py311h06a4308_0 conda-package-handling 2.2.0 pyh38be061_0 conda-forge conda-package-streaming 0.9.0 py311h06a4308_0 cryptography 41.0.3 py311hdda0065_0 distro 1.8.0 pyhd8ed1ab_0 conda-forge filelock 3.13.1 py311h06a4308_0 fmt 9.1.0 hdb19cb5_0 icu 73.1 h6a678d5_0 idna 3.4 py311h06a4308_0 jinja2 3.1.2 py311h06a4308_0 jq 1.7.1 hd590300_0 conda-forge jsonpatch 1.32 pyhd3eb1b0_0 jsonpointer 2.1 pyhd3eb1b0_0 jsonschema 4.19.2 py311h06a4308_0 jsonschema-specifications 2023.7.1 py311h06a4308_0 krb5 1.20.1 h143b758_1 ld_impl_linux-64 2.38 h1181459_1 libarchive 3.6.2 h6ac8c49_2 libcurl 8.4.0 h251f7ec_0 libedit 3.1.20221030 h5eee18b_0 libev 4.33 h7f8727e_1 libffi 3.4.4 h6a678d5_0 libgcc-ng 13.2.0 h807b86a_3 conda-forge libgomp 13.2.0 h807b86a_3 conda-forge liblief 0.12.3 h6a678d5_0 libmamba 1.5.3 haf1ee3a_0 libmambapy 1.5.3 py311h2dafd23_0 libnghttp2 1.57.0 h2d74bed_0 libsolv 0.7.24 he621ea3_0 libssh2 1.10.0 hdbd6064_2 libstdcxx-ng 11.2.0 h1234567_1 libuuid 1.41.5 h5eee18b_0 libxml2 2.10.4 hf1b16e4_1 lz4-c 1.9.4 h6a678d5_0 markupsafe 2.1.1 py311h5eee18b_0 menuinst 2.0.1 py311h38be061_0 conda-forge more-itertools 10.1.0 py311h06a4308_0 ncurses 6.4 h6a678d5_0 oniguruma 6.9.9 hd590300_0 conda-forge openssl 3.2.1 hd590300_1 conda-forge packaging 23.1 py311h06a4308_0 patch 2.7.6 h7b6447c_1001 patchelf 0.17.2 h6a678d5_0 pcre2 10.42 hebb0a14_0 pip 23.3 py311h06a4308_0 pkginfo 1.9.6 py311h06a4308_0 platformdirs 4.1.0 pyhd8ed1ab_0 conda-forge pluggy 1.0.0 py311h06a4308_1 psutil 5.9.0 py311h5eee18b_0 py-lief 0.12.3 py311h6a678d5_0 pybind11-abi 4 hd3eb1b0_1 pycosat 0.6.6 py311h5eee18b_0 pycparser 2.21 pyhd3eb1b0_0 pyopenssl 23.2.0 py311h06a4308_0 pysocks 1.7.1 py311h06a4308_0 python 3.11.5 h955ad1f_0 python-libarchive-c 2.9 pyhd3eb1b0_1 python_abi 3.11 2_cp311 conda-forge pytz 2023.3.post1 py311h06a4308_0 pyyaml 6.0.1 py311h459d7ec_1 conda-forge readline 8.2 h5eee18b_0 referencing 0.30.2 py311h06a4308_0 reproc 14.2.4 h295c915_1 reproc-cpp 14.2.4 h295c915_1 requests 2.31.0 py311h06a4308_0 rpds-py 0.10.6 py311hb02cf49_0 ruamel.yaml 0.17.21 py311h5eee18b_0 setuptools 68.0.0 py311h06a4308_0 soupsieve 2.5 py311h06a4308_0 sqlite 3.41.2 h5eee18b_0 tk 8.6.12 h1ccaba5_0 toml 0.10.2 pyhd8ed1ab_0 conda-forge tomlkit 0.12.3 pyha770c72_0 conda-forge tqdm 4.65.0 py311h92b7b1e_0 truststore 0.8.0 py311h06a4308_0 tzdata 2023c h04d1e81_0 urllib3 1.26.18 py311h06a4308_0 wheel 0.41.2 py311h06a4308_0 xmltodict 0.13.0 pyhd8ed1ab_0 conda-forge xz 5.4.2 h5eee18b_0 yaml 0.2.5 h7f98852_2 conda-forge yaml-cpp 0.8.0 h6a678d5_0 yq 3.2.3 pyhd8ed1ab_0 conda-forge zlib 1.2.13 h5eee18b_0 zstandard 0.19.0 py311h5eee18b_0 zstd 1.5.5 hc292b87_0
>> conda info active environment : None shell level : 0 user config file : /home/arashkm/.condarc populated config files : /home/arashkm/.condarc conda version : 24.1.2 conda-build version : 3.28.1 python version : 3.11.5.final.0 solver : libmamba (default) virtual packages : __archspec=1=skylake __conda=24.1.2=0 __glibc=2.35=0 __linux=5.15.146.1=0 __unix=0=0 base environment : /home/arashkm/miniconda3 (writable) conda av data dir : /home/arashkm/miniconda3/etc/conda conda av metadata url : None channel URLs : 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 package cache : /home/arashkm/miniconda3/pkgs /home/arashkm/.conda/pkgs envs directories : /home/arashkm/miniconda3/envs /home/arashkm/.conda/envs platform : linux-64 user-agent : conda/24.1.2 requests/2.31.0 CPython/3.11.5 Linux/5.15.146.1-microsoft-standard-WSL2 ubuntu/22.04.4 glibc/2.35 solver/libmamba conda-libmamba-solver/23.11.1 libmambapy/1.5.3 UID:GID : 1000:1000 netrc file : None offline mode : False
The problem was due to not having enough RAM available through WSL. Closing
Solution to issue cannot be found in the documentation.
Issue
Installed packages
Environment info