class_docstr: This fancy class just defines the `UtilizationScore` protocol to be
  some type that is a "totally ordered set" (i.e. things that can be sorted).
  
  What we're really trying to express is
  
  ```
  UtilizationScore = TypeVar("UtilizationScore", bound=Comparable["UtilizationScore"])
  ```
  
  but Comparable isn't a real type and, and a bound with a type argument
  can't be enforced (f-bounded polymorphism with contravariance). See Guido's
  comment for more details: https://github.com/python/typing/issues/59.
  
  This isn't just a `float`. In the case of the default scorer, it's a
  `Tuple[float, float]` which is quite difficult to map to a single number.
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code: def __le__(
      self: "UtilizationScore", other: "UtilizationScore"
  ) -> bool:
      return self < other or self == other
  
imports: import collections
  import copy
  import logging
  import os
  from abc import abstractmethod
  from functools import partial
  from typing import Callable, Dict, List, Optional, Tuple
  import ray
  from ray._private.gcs_utils import PlacementGroupTableData
  from ray.autoscaler._private.constants import AUTOSCALER_CONSERVE_GPU_NODES, AUTOSCALER_UTILIZATION_SCORER_KEY
  from ray.autoscaler._private.loader import load_function_or_class
  from ray.autoscaler._private.node_provider_availability_tracker import NodeAvailabilitySummary
  from ray.autoscaler._private.util import NodeID, NodeIP, NodeType, NodeTypeConfigDict, ResourceDict, is_placement_group_resource
  from ray.autoscaler.node_provider import NodeProvider
  from ray.autoscaler.tags import NODE_KIND_HEAD, NODE_KIND_UNMANAGED, NODE_KIND_WORKER, TAG_RAY_NODE_KIND, TAG_RAY_USER_NODE_TYPE
  from ray.core.generated.common_pb2 import PlacementStrategy
label_desc: Use image node_id 4 for calling the UtilizationScore obj's underlying member method code with example usage: obj.__le__(other) and returns: unknown