code: def get_dummy_env() -> det.EnvContext:
      return det.EnvContext(
          master_url="",
          master_cert_file=None,
          master_cert_name=None,
          experiment_config={
              "resources": {
                  "slots_per_trial": 1,
                  "native_parallel": False,
              }
          },
          latest_checkpoint=None,
          steps_completed=0,
          use_gpu=False,
          container_gpus=[],
          slot_ids=[],
          debug=False,
          hparams={"global_batch_size": 1},
          det_trial_id="1",
          det_agent_id="1",
          det_experiment_id="1",
          det_cluster_id="uuid-123",
          trial_seed=0,
          trial_run_id=1,
          allocation_id="",
          managed_training=True,
          test_mode=False,
          on_cluster=False,
      )
  
file_path: determined/harness/tests/tensorboard/test_util.py
imports: import pathlib
  import pytest
  import determined
  from determined import tensorboard
  from determined.tensorboard import SharedFSTensorboardManager
label_desc: Use image node_id 1 for calling a global function with example usage: get_dummy_env() and returns: det