auth:
    ssh_user: ubuntu
cluster_name: test-cli
docker:
    image: anyscale/ray-ml:latest
    container_name: ray_container
    pull_before_run: true
    head_image: anyscale/ray-ml:head-default
    worker_image: anyscale/ray-ml:worker-default
max_workers:
    10
file_mounts:
    ~/tests: .
available_node_types:
    head_node:
        resources: {}
        max_workers: 0
        node_config:
            ImageId: latest_dlami
            InstanceType: t1.micro
    default:
        resources: {}
        max_workers: 2
        min_workers: 0
        node_config:
            ImageId: latest_dlami
            InstanceType: t1.micro
    worker_nodes:
        resources: {}
        max_workers: 2
        min_workers: 1
        node_config:
            ImageId: latest_dlami
            InstanceType: t1.micro
        initialization_commands:
            - echo what
    worker_nodes1:
        resources:
            CPU: 2
        labels:
            foo: bar 
        max_workers: 2
        min_workers: 1
        node_config:
            ImageId: latest_dlami
            InstanceType: t1.micro
        worker_setup_commands:
            - echo worker1
        docker:
            worker_image: anyscale/ray-ml:worker_nodes1
            pull_before_run: true
head_node_type: head_node
head_setup_commands:
    - echo head
head_start_ray_commands:
    - ray stop
    - ray start --head --autoscaling-config=~/ray_bootstrap_config.yaml
idle_timeout_minutes: 5
initialization_commands:
    - echo init
provider:
    availability_zone: us-west-2a
    key_pair:
        key_name: __test-cli
    region: us-west-2
    type: aws
setup_commands:
    - echo a
    - echo b
    - echo ${echo hi}
worker_setup_commands:
    - echo worker
worker_start_ray_commands:
    - ray stop
    - ray start --address=$RAY_HEAD_IP