Development Container for ldmx-sw
Docker build context for developing and running ldmx-sw: Docker Hub
There is a corresponding workflow in ldmx-sw that generates a production docker container using the container generated by this build context as a base image. This production container already has ldmx-sw built and installed on it and assumes the user wants to run the application.
Use in ldmx-sw
In ldmx-sw, an environment script is defined in bash to setup the environment for both docker and singularity correctly.
A description of this setup process is given for both docker and singularity if you desire more information.
Current Container Configuration
| Direct Dependecy of ldmx-sw | Version | Construction Process |
|---|---|---|
| Ubuntu Server | 22.04 | Base Image |
| Python | 3.10.6 | From Ubuntu Repos |
| cmake | 3.22.1 | From Ubuntu Repos |
| XercesC | 3.2.4 | Built from source |
| Pythia6 | 6.428 | Built from source |
| ROOT | 6.22/08 | Built from source |
| Geant4 | LDMX.10.2.3_v0.5 | Built from source |
| Eigen | 3.4.0 | Built from source |
| LHAPDF | 6.5.3 | Built from source |
| GENIE | 3.02.00 | Built from source |
| Catch2 | 3.3.1 | Built from source |
| ONNX Runtime | 1.15.0 | Download pre-built binaries |
A detailed list of all packages installed from ubuntu repositories is given here, and documentation on the workflow and runner used to build the image is here.
Python Packages for Analyses
Installed in Python 3.
- pip
- Cython
- numpy
- uproot
- matplotlib
- xgboost
- sklearn
Other Configuration
- SSL Certificates that will be trusted by container are in the
certsdirectory
Other Packages
If you would like another package included in the development container, please open an issue in this repository.