code: def _print_array(test_name, array):
      print(test_name)
      print("[")
      for sub_array in array:
          print("[", end="")
          for i, value in enumerate(sub_array):
              print(str(round(value, 4)), end="")
              if i < len(sub_array) - 1:
                  print(", ", end="")
          print("],")
      print("]")
  
imports: import numpy
  from sklearn.ensemble import IsolationForest, RandomForestClassifier
  from sktime.classification.compose import ColumnEnsembleClassifier
  from sktime.classification.dictionary_based import MUSE, WEASEL, BOSSEnsemble, ContractableBOSS, TemporalDictionaryEnsemble
  from sktime.classification.distance_based import ElasticEnsemble, ProximityForest, ShapeDTW
  from sktime.classification.early_classification import TEASER, ProbabilityThresholdEarlyClassifier
  from sktime.classification.feature_based import Catch22Classifier, MatrixProfileClassifier, RandomIntervalClassifier, SignatureClassifier, SummaryClassifier
  from sktime.classification.hybrid import HIVECOTEV1, HIVECOTEV2
  from sktime.classification.interval_based import CanonicalIntervalForest, DrCIF, RandomIntervalSpectralEnsemble, SupervisedTimeSeriesForest, TimeSeriesForestClassifier
  from sktime.classification.kernel_based import Arsenal, RocketClassifier
  from sktime.classification.shapelet_based import ShapeletTransformClassifier
  from sktime.datasets import load_basic_motions, load_unit_test
  from sktime.datatypes._panel._convert import from_nested_to_3d_numpy
  from sktime.transformations.panel.catch22 import Catch22
  from sktime.transformations.panel.catch22wrapper import Catch22Wrapper
  from sktime.transformations.panel.random_intervals import RandomIntervals
  from sktime.transformations.panel.shapelet_transform import RandomShapeletTransform
  from sktime.transformations.panel.supervised_intervals import SupervisedIntervals
  from sktime.transformations.series.summarize import SummaryTransformer
label_desc: Use image node_id 6 for calling a global function with example usage: _print_array(test_name, array) without return types