code: def _test_fetch_neptune_run(self, environment):
      custom_run_id = hashlib.md5(
          self.zenml_run_name.encode()
      ).hexdigest()
      neptune_run = neptune.init_run(
          custom_run_id=custom_run_id,
          project=environment.project,
          api_token=environment.user_token,
      )
      assert neptune_run["params/gamma"].fetch() == 0.001
      assert neptune_run["sys/tags"].fetch() == {"sklearn", "digits"}
      assert neptune_run["metrics/val_accuracy"].fetch() <= 1
  
file_path: neptune-client/tests/e2e/integrations/test_zenml.py
imports: import hashlib
  import pytest
  from sklearn.datasets import load_digits
  from sklearn.model_selection import train_test_split
  from sklearn.svm import SVC
  import neptune
  from tests.e2e.base import BaseE2ETest
label_desc: Use image node_id 3 for calling the TestZenML obj's underlying member method code with example usage: obj._test_fetch_neptune_run(environment) without return types