I am attempting to install dysgu by creating a new dysgu conda environment and then installing dysgu within that environment, as suggested.
conda install -c bioconda -c conda-forge dysgu
However I am running into a libmamba error:
Channels:
- bioconda
- conda-forge
- defaults
- r
Platform: linux-64
Collecting package metadata (repodata.json): done Solving environment: | warning libmamba Problem type not implemented SOLVER_RULE_STRICT_REPO_PRIORITY
warning libmamba Problem type not implemented SOLVER_RULE_STRICT_REPO_PRIORITYPlatform: linux-64> warning libmamba Problem type not implemented SOLVER_RULE_STRICT_REPO_PRIORITY ...
LibMambaUnsatisfiableError: Encountered problems while solving:
- package dysgu-1.6.0-py310h770aed0_0 requires htslib >=1.18,<1.19.0a0, but none of the providers can be installed Could not solve for environment specs
The following packages are incompatible
└─ dysgu is not installable because there are no viable options
├─ dysgu [1.3.16|1.4.0|1.4.2|1.5.0] would require
│ └─ htslib [>=1.16,<1.19.0a0 |>=1.17,<1.19.0a0 ] but there are no viable options
│ ├─ htslib [1.17|1.18] would require
│ │ └─ libdeflate >=1.18,<1.20.0a0 , which conflicts with any installable versions previously reported;
│ └─ htslib [1.16|1.17] would require
│ └─ libdeflate >=1.13,<1.20.0a0 , which conflicts with any installable versions previously reported;
├─ dysgu 1.6.0 would require
│ └─ htslib >=1.18,<1.19.0a0 , which cannot be installed (as previously explained);
└─ dysgu [1.6.0|1.6.1] would require
└─ pysam >=0.19 but there are no viable options
├─ pysam [0.19.0|0.19.1] would require
│ └─ libdeflate >=1.10,<1.11.0a0 , which conflicts with any installable versions previously reported;
├─ pysam [0.19.1|0.20.0|0.21.0] would require
│ └─ libdeflate >=1.13,<1.14.0a0 , which conflicts with any installable versions previously reported;
└─ pysam 0.21.0 would require
└─ libdeflate >=1.18,<1.19.0a0 , which conflicts with any installable versions previously reported.
I am wondering if this is a mamba/conda error? I followed the suggestions here and cleared my old cache by running the command:
conda clean --all
But had no success. Does anyone have additional suggestions on what to try next?