code: def _can_fulfill_no_autoscaler(trial: Trial) -> bool:
      """Calculates if there is enough resources for a PENDING trial.
  
      For no autoscaler case.
      """
      assert trial.status == Trial.PENDING
      asked_cpus, asked_gpus = _get_trial_cpu_and_gpu(trial)
  
      return asked_cpus <= _get_cluster_resources_no_autoscaler().get(
          "CPU", 0
      ) and asked_gpus <= _get_cluster_resources_no_autoscaler().get(
          "GPU", 0
      )
  
file_path: ray/python/ray/tune/execution/insufficient_resources_manager.py
imports: import logging
  from functools import lru_cache
  import os
  import ray
  import time
  from typing import Dict, Optional, Tuple
  from ray.tune.execution.cluster_info import _is_ray_cluster
  from ray.tune.experiment import Trial
label_desc: Use image node_id 3 for calling a global function with example usage: _can_fulfill_no_autoscaler(trial) and returns: unknown