# {{meta.name}} {{meta.version}}

Currently, conda is required to manage installation of the environment.
A fresh installation of Anaconda3 or Miniconda3 is not required for
each {{meta.name}} release, however.  An existing conda installation may be
used. The method described here allows for multiple, entirely segregated,
pipeline installations.

A `bash`-compatible shell is required for all steps below. Python
dependencies are taken directly from PyPI or development repositories as
needed, so conda's ability to install hybrid conda/pip environments from a
YAML specification is used. This requires first downloading the
specification file and then creating the environment with it.

## For existing conda installations:

### Install the pipeline environment
```
$ curl -O https://ssb.stsci.edu/releases/{{meta.name}}/{{meta.version}}/latest-linux.yml
$ conda env create --file latest-linux.yml
```
### Activate the pipeline environment

```
$ conda activate {{info.release_name}}
```

Each new delivery iteration of the calibration environment will need to be
installed using the above commands.

------

## If conda is not yet installed

If the conda tool is not available on the target system, it will need to be
installed before the calibration environment can be installed.

### Installing conda

For detailed instructions of this step, please visit:
https://conda.io/projects/conda/en/latest/user-guide/install/index.html

**Miniconda:**

```
$ wget {{conda.installer_baseurl}}/{{conda.installer_name}}-{{conda.installer_version}}-{{conda.installer_platform}}-{{conda.installer_arch}}.sh
$ bash {{conda.installer_name}}-{{conda.installer_version}}-{{conda.installer_platform}}-{{conda.installer_arch}}.sh
$ $HOME/{{conda.installer_name}}/condabin/conda init
```