wehub-resource-sync
71 lines
1.8 KiB
Python
71 lines
1.8 KiB
Python
import sys
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import pytest
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from ray_release.kuberay_util import convert_cluster_compute_to_kuberay_compute_config
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def test_convert_cluster_compute_to_kuberay_compute_config():
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compute_config = {
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"head_node_type": {
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"resources": {
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"limits": {
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"cpu": "16",
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"memory": "32Gi",
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}
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}
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},
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"worker_node_types": [
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{
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"name": "worker",
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"resources": {
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"limits": {
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"cpu": "4",
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"memory": "8Gi",
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},
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"requests": {
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"cpu": "4",
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"memory": "8Gi",
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},
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},
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"min_workers": 0,
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"max_workers": 2,
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"use_spot": False,
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}
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],
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}
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kuberay_compute_config = convert_cluster_compute_to_kuberay_compute_config(
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compute_config
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)
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assert kuberay_compute_config == {
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"head_node": {
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"resources": {
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"limits": {
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"cpu": "16",
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"memory": "32Gi",
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}
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}
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},
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"worker_nodes": [
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{
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"group_name": "worker",
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"min_nodes": 0,
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"max_nodes": 2,
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"resources": {
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"limits": {
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"cpu": "4",
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"memory": "8Gi",
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},
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"requests": {
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"cpu": "4",
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"memory": "8Gi",
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},
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},
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}
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],
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}
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if __name__ == "__main__":
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sys.exit(pytest.main(["-v", __file__]))
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