conda 上的 PackagesNotFoundError
PackagesNotFoundError on conda
我正在尝试重新创建一个 conda 环境。
从我执行的一个环境
conda list --export > req.txt
现在我正在尝试使用
使用相同的包重新创建一个新环境
conda create --name <env_name> --file req.txt
我收到以下错误:
Collecting package metadata (current_repodata.json): done
Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source.
Collecting package metadata (repodata.json): done
Solving environment: failed
PackagesNotFoundError: The following packages are not available from current channels:
- idna==2.10=pypi_0
- multivar-hypergeom==0.0.1=pypi_0
- pygments==2.6.1=pypi_0
- pexpect==4.8.0=pypi_0
- pynacl==1.4.0=pypi_0
- jedi==0.17.0=pypi_0
- attrs==20.1.0=pypi_0
- importlib-metadata==1.7.0=pypi_0
- sh==1.14.1=pypi_0
- toolz==0.11.1=pypi_0
- fsspec==0.8.4=pypi_0
- cycler==0.10.0=pypi_0
- joblib==1.0.0=pypi_0
- dask==2.30.0=pypi_0
- packaging==20.4=pypi_0
- colorama==0.4.3=pypi_0
- pandas==1.1.0=pypi_0
- paramiko==2.7.1=pypi_0
- pluggy==0.13.1=pypi_0
- iniconfig==1.0.1=pypi_0
- urllib3==1.26.3=pypi_0
- bcrypt==3.1.7=pypi_0
- backcall==0.1.0=pypi_0
- requests==2.25.1=pypi_0
- ipython==7.14.0=pypi_0
- networkx==2.4=pypi_0
- parso==0.7.0=pypi_0
- partd==1.1.0=pypi_0
- ipdb==0.13.2=pypi_0
- ptyprocess==0.6.0=pypi_0
- pytest==6.0.1=pypi_0
- cryptography==3.0=pypi_0
- pytz==2020.1=pypi_0
- chardet==4.0.0=pypi_0
- matplotlib==3.2.2=pypi_0
- scikit-learn==0.24.0=pypi_0
- scipy==1.5.2=pypi_0
- markupsafe==1.1.1=pypi_0
- decorator==4.4.2=pypi_0
- six==1.14.0=pypi_0
- ipython-genutils==0.2.0=pypi_0
- pyyaml==5.3.1=pypi_0
- locket==0.2.0=pypi_0
- threadpoolctl==2.1.0=pypi_0
- traitlets==4.3.3=pypi_0
- tqdm==4.53.0=pypi_0
- toml==0.10.1=pypi_0
- cffi==1.14.2=pypi_0
- zipp==3.1.0=pypi_0
- pickleshare==0.7.5=pypi_0
- gitdb==4.0.5=pypi_0
- numpy==1.18.4=pypi_0
- pyparsing==2.4.7=pypi_0
- smmap==3.0.4=pypi_0
- pycparser==2.20=pypi_0
- prompt-toolkit==3.0.5=pypi_0
- bio==0.3.0=pypi_0
- pysftp==0.2.9=pypi_0
- tzlocal==2.1=pypi_0
- wcwidth==0.1.9=pypi_0
- gitpython==3.1.8=pypi_0
- py==1.9.0=pypi_0
- python-dateutil==2.8.1=pypi_0
- jinja2==2.11.2=pypi_0
- more-itertools==8.5.0=pypi_0
- sklearn==0.0=pypi_0
- rpy2==3.3.5=pypi_0
- kiwisolver==1.2.0=pypi_0
- utility==1.0=pypi_0
- termcolor==1.1.0=pypi_0
- biopython==1.78=pypi_0
- docopt==0.6.2=pypi_0
Current channels:
- 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
- https://conda.anaconda.org/conda-forge/linux-64
- https://conda.anaconda.org/conda-forge/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.
在有关此问题的其他一些 Whosebug 问题中,接受的答案是执行
conda config --append channels conda-forge
但是在我这样做之后,我得到了同样的错误。
conda 版本为 4.8.2
构建中的 pypi
暗示这些包都是从 PyPI 安装的,大概是使用 pip
。 conda list --export
不会以允许重新创建环境的形式捕获 pip 安装的包。相反,尝试转储到 YAML,这将区分此类包并可以重新创建环境:
conda env export > environment.yaml
conda env create -n <env_name> -f environment.yaml
我正在尝试重新创建一个 conda 环境。
从我执行的一个环境
conda list --export > req.txt
现在我正在尝试使用
使用相同的包重新创建一个新环境
conda create --name <env_name> --file req.txt
我收到以下错误:
Collecting package metadata (current_repodata.json): done
Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source.
Collecting package metadata (repodata.json): done
Solving environment: failed
PackagesNotFoundError: The following packages are not available from current channels:
- idna==2.10=pypi_0
- multivar-hypergeom==0.0.1=pypi_0
- pygments==2.6.1=pypi_0
- pexpect==4.8.0=pypi_0
- pynacl==1.4.0=pypi_0
- jedi==0.17.0=pypi_0
- attrs==20.1.0=pypi_0
- importlib-metadata==1.7.0=pypi_0
- sh==1.14.1=pypi_0
- toolz==0.11.1=pypi_0
- fsspec==0.8.4=pypi_0
- cycler==0.10.0=pypi_0
- joblib==1.0.0=pypi_0
- dask==2.30.0=pypi_0
- packaging==20.4=pypi_0
- colorama==0.4.3=pypi_0
- pandas==1.1.0=pypi_0
- paramiko==2.7.1=pypi_0
- pluggy==0.13.1=pypi_0
- iniconfig==1.0.1=pypi_0
- urllib3==1.26.3=pypi_0
- bcrypt==3.1.7=pypi_0
- backcall==0.1.0=pypi_0
- requests==2.25.1=pypi_0
- ipython==7.14.0=pypi_0
- networkx==2.4=pypi_0
- parso==0.7.0=pypi_0
- partd==1.1.0=pypi_0
- ipdb==0.13.2=pypi_0
- ptyprocess==0.6.0=pypi_0
- pytest==6.0.1=pypi_0
- cryptography==3.0=pypi_0
- pytz==2020.1=pypi_0
- chardet==4.0.0=pypi_0
- matplotlib==3.2.2=pypi_0
- scikit-learn==0.24.0=pypi_0
- scipy==1.5.2=pypi_0
- markupsafe==1.1.1=pypi_0
- decorator==4.4.2=pypi_0
- six==1.14.0=pypi_0
- ipython-genutils==0.2.0=pypi_0
- pyyaml==5.3.1=pypi_0
- locket==0.2.0=pypi_0
- threadpoolctl==2.1.0=pypi_0
- traitlets==4.3.3=pypi_0
- tqdm==4.53.0=pypi_0
- toml==0.10.1=pypi_0
- cffi==1.14.2=pypi_0
- zipp==3.1.0=pypi_0
- pickleshare==0.7.5=pypi_0
- gitdb==4.0.5=pypi_0
- numpy==1.18.4=pypi_0
- pyparsing==2.4.7=pypi_0
- smmap==3.0.4=pypi_0
- pycparser==2.20=pypi_0
- prompt-toolkit==3.0.5=pypi_0
- bio==0.3.0=pypi_0
- pysftp==0.2.9=pypi_0
- tzlocal==2.1=pypi_0
- wcwidth==0.1.9=pypi_0
- gitpython==3.1.8=pypi_0
- py==1.9.0=pypi_0
- python-dateutil==2.8.1=pypi_0
- jinja2==2.11.2=pypi_0
- more-itertools==8.5.0=pypi_0
- sklearn==0.0=pypi_0
- rpy2==3.3.5=pypi_0
- kiwisolver==1.2.0=pypi_0
- utility==1.0=pypi_0
- termcolor==1.1.0=pypi_0
- biopython==1.78=pypi_0
- docopt==0.6.2=pypi_0
Current channels:
- 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
- https://conda.anaconda.org/conda-forge/linux-64
- https://conda.anaconda.org/conda-forge/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.
在有关此问题的其他一些 Whosebug 问题中,接受的答案是执行
conda config --append channels conda-forge
但是在我这样做之后,我得到了同样的错误。
conda 版本为 4.8.2
构建中的 pypi
暗示这些包都是从 PyPI 安装的,大概是使用 pip
。 conda list --export
不会以允许重新创建环境的形式捕获 pip 安装的包。相反,尝试转储到 YAML,这将区分此类包并可以重新创建环境:
conda env export > environment.yaml
conda env create -n <env_name> -f environment.yaml