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Hi,
Should pirs still be available through conda? I'm having problems trying to install it on Mac OS (v13.5):
conda create --name parsley python=3.8
conda activate parsely
conda install -c bioconda pirs
Collecting package metadata (current_repodata.json): done
Solving environment: unsuccessful initial attempt using frozen solve. Retrying with flexible solve.
Collecting package metadata (repodata.json): done
Solving environment: unsuccessful initial attempt using frozen solve. Retrying with flexible solve.
PackagesNotFoundError: The following packages are not available from current channels:
- pirs
Current channels:
- https://conda.anaconda.org/bioconda/osx-64
- https://conda.anaconda.org/bioconda/noarch
- https://conda.anaconda.org/conda-forge/osx-64
- https://conda.anaconda.org/conda-forge/noarch
- https://repo.anaconda.com/pkgs/main/osx-64
- https://repo.anaconda.com/pkgs/main/noarch
- https://repo.anaconda.com/pkgs/r/osx-64
- https://repo.anaconda.com/pkgs/r/noarch
- https://conda.anaconda.org/r/osx-64
- https://conda.anaconda.org/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.
Here's my env details
conda list
# packages in environment at ~/miniconda3/envs/parsley:
#
# Name Version Build Channel
bzip2 1.0.8 h0d85af4_4 conda-forge
ca-certificates 2023.7.22 h8857fd0_0 conda-forge
joblib 1.3.2 pypi_0 pypi
libffi 3.4.2 h0d85af4_5 conda-forge
libsqlite 3.42.0 h58db7d2_0 conda-forge
libzlib 1.2.13 h8a1eda9_5 conda-forge
ncurses 6.4 hf0c8a7f_0 conda-forge
numpy 1.24.4 pypi_0 pypi
openssl 3.1.2 h8a1eda9_0 conda-forge
pip 23.2.1 pyhd8ed1ab_0 conda-forge
python 3.8.17 hf9b03c3_0_cpython conda-forge
readline 8.2 h9e318b2_1 conda-forge
scikit-learn 1.3.0 pypi_0 pypi
scipy 1.10.1 pypi_0 pypi
setuptools 68.0.0 pyhd8ed1ab_0 conda-forge
threadpoolctl 3.2.0 pypi_0 pypi
tk 8.6.12 h5dbffcc_0 conda-forge
wheel 0.41.1 pyhd8ed1ab_0 conda-forge
xz 5.2.6 h775f41a_0 conda-forge
Trying with pip is also turning out to be a bit of a nightmare too (sklearn deprecation issues), but I'd prefer to stick to conda anyway.
Any help would be gratefully appreciated.
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