code: def __repr__(self):
      with_gpu_str = "with_gpu" if self.with_gpu else "without_gpu"
      executable_unit = "tasks" if self.with_tasks else "actors"
      cold_or_warm_start = "cold" if self.num_jobs > 1 else "warm"
      with_runtime_env_str = (
          "with_runtime_env"
          if self.with_runtime_env
          else "without_runtime_env"
      )
      single_node_or_multi_node = (
          "single_node"
          if self.num_nodes_in_cluster == 1
          else "multi_node"
      )
      import_torch_or_none = (
          "import_torch"
          if self.import_to_try == "torch"
          else "no_import"
      )
  
      return "-".join(
          [
              f"seconds_to_{cold_or_warm_start}_start_"
              f"{self.num_tasks_or_actors_per_run}_{executable_unit}",
              import_torch_or_none,
              with_gpu_str,
              single_node_or_multi_node,
              with_runtime_env_str,
              f"{self.num_cpus_in_cluster}_CPU_{self.num_gpus_in_cluster}"
              "_GPU_cluster",
          ]
      )
  
imports: from collections import defaultdict
  from dataclasses import dataclass
  from ray._private.test_utils import safe_write_to_results_json
  from ray.job_submission import JobSubmissionClient, JobStatus
  import argparse
  import asyncio
  import random
  import ray
  import statistics
  import subprocess
  import sys
label_desc: Use image node_id 1 for calling the TestConfiguration obj's underlying member method code with example usage: obj.__repr__() and returns: str