chore: import upstream snapshot with attribution
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# An unique identifier for the head node and workers of this cluster.
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cluster_name: nightly-test-minimal
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max_workers: 1
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idle_timeout_minutes: 2
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# Cloud-provider specific configuration.
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provider:
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type: aws
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region: us-west-2
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cache_stopped_nodes: False
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available_node_types:
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ray.head.default:
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resources: {}
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node_config:
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InstanceType: t3.large
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ray.worker.default:
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resources: {}
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min_workers: 1
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max_workers: 1
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node_config:
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InstanceType: t3.large
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cloud_id: {{env["ANYSCALE_CLOUD_ID"]}}
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region: us-west-2
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advanced_configurations_json:
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IamInstanceProfile: {"Name": "ray-autoscaler-v1"}
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head_node_type:
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name: head_node
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instance_type: t3.large
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worker_node_types:
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- name: worker_node
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instance_type: t3.large
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min_workers: 0
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max_workers: 0
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use_spot: false
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base_image: {{ env["RAY_IMAGE_NIGHTLY_CPU"] | default("anyscale/ray:nightly-py39") }}
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debian_packages: []
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env_vars:
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RAY_WHEEL_URL: {{ env["RAY_WHEELS"] | default("") }}
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python:
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pip_packages: []
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conda_packages: []
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post_build_cmds:
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- pip3 uninstall -y ray && pip3 install -U {{ env["RAY_WHEELS"] | default("ray") }}
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- pip3 install -U ray[default]
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- {{ env["RAY_WHEELS_SANITY_CHECK"] | default("echo No Ray wheels sanity check") }}
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