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1. #Conda install package with two channels update#
2. #Conda install package with two channels software#
3. #Conda install package with two channels download#

MirrorURL: /updates/$basearch/Įcho "This is what happens when you run the container."Įcho "This is what happens when you start the container."Ĭonda create -y -c intel -n scipy-1.1.0-np115p圓6_6 intelpython3_core=2019 This is Singularity recipe example for a CentOS image with a Conda environment:

#Conda install package with two channels software#

Using Singularity Containers can create more robust software environments.īuild the container on your local machine! # Cleanup prefixes from in the active environment Just create a directory and unpack the package: The easiest way is to unpack the package into an existing Conda installation. Pack environment located at an explicit path:Ĭonda pack -p $( ws_find conda )/conda/envs/scipy-1.1.0-np115p圓6_6 Wget $f -O $( ws_find conda )/conda/channel/linux-64/$( basename $f ) Ĭonda index $( ws_find conda )/conda/channel/Ĭonda config -add channels file://$( ws_find conda )/conda/channel/Īlternative use -c file://$( ws_find conda )/conda/channel/ when installing.Īlternatively you can create a package of your environment and unpack it again when needed.

#Conda install package with two channels download#

Optional: If packages are missing in the cache download them: Mkdir -p $( ws_find conda )/conda/channel/linux-64Ĭreate dependency file list and copy files to channel:Ĭonda list -explicit -n scipy-1.1.0-np115p圓6_6 >scipy-1.1.0-np115p圓6_6.txtįor f in $( grep -E '^http|^file' scipy-1.1.0-np115p圓6_6.txt ) doĬp $( ws_find conda )/conda/pkgs/$( basename $f ) $( ws_find conda )/conda/channel/linux-64/ If you want to be independent of other channels you can create your own local channel and backup every file you have used for creating your environments.Ĭreate local channel directory for linux-64: Otherwise the environment will be reproduced from the channels' packages. Usually packages are cached in your Conda directory inside pkgs/ unless you run conda clean. Please verify the architecture first.Ĭonda create -name scipy-1.1.0 -clone scipy-1.1.0-np115p圓6_6ġ.8.1 Local channels and backup Conda packages

You can install the identical packages into a newly created environment. The second option comes from the conda command itself and specifies the location of the file, as well. The first backup option is from the conda-env command and tries to reproduce the environment by name and version. Install requirements file into environment:Ĭonda create -name scipy-1.1.0 -file scipy-1.1.0-np115p圓6_6.txt Older versions of conda (scipy-1.1.0-np115p圓6_6.txt In order to use the software in an environment you'll need to activate it first:ĭeactivate to use different Python or software version: Install packages and create a new environment:Ĭonda create -n scipy_py27 scipy python=2.7 You can create python environments and install packages into these environments or create them during install:

If you don't specify a new envs_dir Conda will use ~/.conda/envs in your home directory as the default installation path (same applies to pkgs_dirs). The last step defines the newly created workspace as the download and installation path for your environments:Ĭonda config -prepend envs_dirs $( ws_find conda )/conda/envsĬonda config -prepend pkgs_dirs $( ws_find conda )/conda/pkgs Module avail devel/conda # list Conda modules If a Conda Module is provided you can just load it and create environments a workspace.

#Conda install package with two channels update#

Optional: Update conda (usually base enviroment):ġ.2 (B) Use a centrally installed Conda Module Optional: Add source path in your local ~/.bashrc (edit file): Source $( ws_find conda )/conda/etc/profile.d/conda.sh 100, for 100 daysīash miniconda.sh -b -p $( ws_find conda )/conda Otherwise $HOME/.conda will be used as default Conda path.Ĭreate workspace for your conda environments: We suggest using workspaces for Conda installation. One to install Conda itself, the other is to load a central installation if possible.ġ.1 (A) Installing Conda into a Workspace There are two possibilities of using Conda.