code: def predict(self, X):
      return self.classes_[np.zeros(X.shape[0], dtype=int)]
  
imports: from itertools import cycle, product
  import joblib
  import numpy
  import pytest
  from sklearn.base import BaseEstimator
  from sklearn.datasets import load_diabetes, load_iris, make_hastie_10_2
  from sklearn.dummy import DummyClassifier, DummyRegressor
  from sklearn.ensemble import BaggingClassifier, BaggingRegressor, HistGradientBoostingClassifier, HistGradientBoostingRegressor
  from sklearn.feature_selection import SelectKBest
  from sklearn.linear_model import LogisticRegression, Perceptron
  from sklearn.model_selection import GridSearchCV, ParameterGrid, train_test_split
  from sklearn.neighbors import KNeighborsClassifier, KNeighborsRegressor
  from sklearn.pipeline import make_pipeline
  from sklearn.preprocessing import FunctionTransformer, scale
  from sklearn.random_projection import SparseRandomProjection
  from sklearn.svm import SVC, SVR
  from sklearn.tree import DecisionTreeClassifier, DecisionTreeRegressor
  from sklearn.utils import check_random_state
  from sklearn.utils._testing import assert_array_almost_equal, assert_array_equal
  from sklearn.utils.fixes import CSC_CONTAINERS, CSR_CONTAINERS
label_desc: Use image node_id 2 for calling the DummyZeroEstimator obj's underlying member method code with example usage: obj.predict(X) and returns: self