vzgo666/tenor repository overview

⁠Tenor Docker Image (Local Mode)

Use this image to run MultiNest modeling on a local CSV file and output a JSON file of results.

⁠Pull the Image

docker pull vzgo666/tenor:latest

⁠Run in Local Mode

To run the container in local mode:

docker run --rm \
  -e MODE=local \
  -e DATA_FILE="/app/data/data.csv" \
  -e Z_VALUE=0.5 \
  -e EBL=true \
  -e MODEL_TYPE=SSC \
  --cpuset-cpus="0,1" \
  -v "$(pwd)/data:/app/data" \
  vzgo666/tenor:latest

• MODE=local instructs the container to use the file-based modeling script.
• DATA_FILE is the CSV path inside the container.
• Z_VALUE is the redshift (float).
• EBL is a boolean (true/false).
• MODEL_TYPE is optional (SSC by default, or EIC).
• -v mounts your local ./data folder to /app/data in the container.
• vzgo666/tenor:latest is the Docker Hub image name.
• --cpuset-cpus="0,1" restricts the container to CPUs 0 and 1.

The script will generate a JSON output file with the same base name as the CSV file (e.g., data.json if the CSV is data.csv).