如何解决dysgu安装时的libmamba未实现问题类型错误？

按照官方建议创建新的conda环境后，执行以下命令安装dysgu：

conda install -c bioconda -c conda-forge dysgu

遇到libmamba依赖冲突错误，具体报错信息如下：

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.

已执行conda clean --all清理缓存，但问题未解决，寻求其他可行方案。

1. 调整通道优先级并重新安装 #

错误提示涉及SOLVER_RULE_STRICT_REPO_PRIORITY，大概率是通道优先级配置冲突导致。先调整通道优先级：

conda config --set channel_priority strict
conda config --add channels conda-forge
conda config --add channels bioconda
conda config --add channels defaults

之后直接用指定通道创建环境并安装：

conda create -n dysgu_env -c conda-forge -c bioconda dysgu

2. 手动指定兼容版本的依赖包 #

强制指定一组已知兼容的依赖版本，绕过自动解析的冲突：

conda install -c bioconda -c conda-forge dysgu libdeflate=1.18 htslib=1.18 pysam=0.21.0

如果上述组合仍有冲突，尝试降级版本组合：

conda install -c bioconda -c conda-forge dysgu=1.5.0 libdeflate=1.17 htslib=1.17 pysam=0.20.0

3. 用mamba替代conda进行安装 #

mamba的依赖解析效率和兼容性优于conda，能解决部分conda无法处理的冲突：
先在base环境安装mamba：

conda install -n base -c conda-forge mamba

再用mamba安装dysgu：

mamba install -c bioconda -c conda-forge dysgu

4. 从源代码编译安装 #

如果包管理工具始终无法解决冲突，直接从源码编译：

# 克隆源码仓库
git clone https://github.com/kcleal/dysgu.git
cd dysgu
# 先安装兼容的依赖
conda install -c bioconda -c conda-forge htslib=1.18 pysam=0.21.0 numpy
# 编译安装
pip install .

5. 指定Python版本创建环境 #

dysgu部分版本对Python版本有严格要求，尝试指定Python 3.9或3.10创建环境：

conda create -n dysgu_env python=3.10 -c bioconda -c conda-forge dysgu

内容的提问来源于stack exchange，提问作者squirrelyMoEco