code: def in_similar_experiment_ids(opt_0, opt_1):
      """Determine whether the `experiment_id` of `opt_0`'s `current_experiment` is included in
      `opt_1`'s list of `similar_experiments`"""
      return opt_0.current_experiment.experiment_id in [
          _[-1] for _ in opt_1.similar_experiments
      ]
  
imports: from hyperparameter_hunter import Environment, CVExperiment, Real, Integer, Categorical
  from hyperparameter_hunter import DummyOptPro, BayesianOptPro
  from hyperparameter_hunter.utils.learning_utils import get_breast_cancer_data, get_diabetes_data
  import pandas
  import pytest
  from keras.callbacks import ReduceLROnPlateau
  from keras.layers import Dense, Dropout, Flatten, Conv2D, MaxPooling2D, Reshape
  from keras.models import Sequential
  from keras.wrappers.scikit_learn import KerasClassifier, KerasRegressor
  from keras.initializers import glorot_normal, orthogonal, Orthogonal
  from sklearn.datasets import load_digits
label_desc: Use image node_id 11 for calling a global function with example usage: in_similar_experiment_ids(opt_0, opt_1) and returns: unknown