def METHOD_NAME(server):
	query_map = {
		"load_1": (
			f"""avg(node_load1{{instance="{server}", job="node"}}) / count(count(node_cpu_seconds_total{{instance="{server}", job="node"}}) by (cpu)) * 100""",
			lambda x: x,
		),
		"load_5": (
			f"""avg(node_load5{{instance="{server}", job="node"}}) / count(count(node_cpu_seconds_total{{instance="{server}", job="node"}}) by (cpu)) * 100""",
			lambda x: x,
		),
		"load_15": (
			f"""avg(node_load15{{instance="{server}", job="node"}}) / count(count(node_cpu_seconds_total{{instance="{server}", job="node"}}) by (cpu)) * 100""",
			lambda x: x,
		),
	}
	result = {}
	for usage_type, query in query_map.items():
		response = prometheus_query(query[0], query[1], "Asia/Kolkata", 120, 120)["datasets"]
		if response:
			result[usage_type] = response[0]["values"][-1]
	return result