code: def test_classifier_digits(monkeypatch, Model):
      monkeypatch.setattr(
          AnyClassifier, "_get_estimators", mock_get_estimators_logreg
      )
      # regression test for doing clean in fit
      # which means predict can't work
      digits = load_digits()
      X, y = digits.data[::10], digits.target[::10]
      clf = Model().fit(X, y)
      assert clf.score(X, y) > 0.8
  
imports: import pytest
  import pandas
  import numpy
  from sklearn.datasets import load_iris, make_blobs, load_digits, fetch_openml
  from sklearn.svm import LinearSVC
  from sklearn.linear_model import LogisticRegression
  from sklearn.dummy import DummyClassifier
  from dabl.datasets import load_titanic
  from dabl.models import SimpleClassifier, SimpleRegressor, AnyClassifier
label_desc: Use image node_id 7 for calling a global function with example usage: test_classifier_digits(monkeypatch, Model) without return types