This repository packages the LclsCuInjLive in lcls_cu_inj_live/model.py for execution with Prefect using the flow described in lcls_cu_inj_live/flow/flow.py using the variables:
| variable name | type | default |
|---|---|---|
| input1 | scalar | 1 |
| input2 | scalar | 2 |
| variable_name | type |
|---|---|
| output1 | scalar |
| output2 | scalar |
| output3 | scalar |
This package may be installed using pip:
pip install git+https://github.com/jbellister-slac/lcls-cu-inj-live.git
Install dev environment:
conda env create -f dev-environment.yml
Activate your environment:
conda activate lcls-cu-inj-live-dev
Install package:
pip install -e .
Tests can be executed from the root directory using:
pytest .
This README was automatically generated using the template defined in https://github.com/slaclab/lume-services-model-template with the following configuration:
{
"author": "Jesse Bellister",
"email": "jesseb@slac.stanford.edu",
"github_username": "jbellister-slac",
"github_url": "https://github.com/jbellister-slac/lcls-cu-inj-live.git",
"project_name": "lcls-cu-inj-live",
"repo_name": "lcls-cu-inj-live",
"package": "lcls_cu_inj_live",
"model_class": "LclsCuInjLive"
}