code: def test_select_no_competent_classifiers_batch():
      meta_test = METADES()
      meta_test.n_classifiers_ = 3
      competences = np.zeros((10, meta_test.n_classifiers_))
      selected_matrix = meta_test.select(competences)
      assert np.all(selected_matrix)
  
imports: from unittest.mock import MagicMock
  import numpy
  import pytest
  from sklearn.linear_model import Perceptron
  from sklearn.naive_bayes import GaussianNB
  from sklearn.svm import SVC
  from sklearn.utils.estimator_checks import check_estimator
  from sklearn.utils.validation import check_is_fitted
  from deslib.des.meta_des import METADES
label_desc: Use image node_id 13 for calling a global function with example usage: test_select_no_competent_classifiers_batch() without return types