class_docstr: Managing autoscaling policies and the lifecycle of the scaling function calls.
class_docstr_tok: ["Managing","autoscaling","policies","and","the","lifecycle","of","the","scaling","function","calls","."]
docstr: Returns whether autoscaling should be performed.
docstr_tok: ["Returns","whether","autoscaling","should","be","performed","."]
code: def should_autoscale(self) -> bool:
      """Returns whether autoscaling should be performed."""
      return self.policy is not None
  
file_path: ray/python/ray/serve/_private/autoscaling_policy.py
imports: import logging
  from typing import List, Optional
  from ray.serve._private.common import TargetCapacityDirection
  from ray.serve._private.constants import SERVE_LOGGER_NAME
  from ray.serve._private.utils import get_capacity_adjusted_num_replicas
  from ray.serve.config import AutoscalingConfig
label_desc: Use image node_id 3 for calling the AutoscalingPolicyManager obj's underlying member method code with example usage: obj.should_autoscale() and returns: unknown