code: def test_min_resources_null(SearchCV):
      """Check that we raise an error if the minimum resources is set to 0."""
      base_estimator = FastClassifier()
      param_grid = {"a": [1]}
      X = np.empty(0).reshape(0, 3)
  
      search = SearchCV(
          base_estimator, param_grid, min_resources="smallest"
      )
  
      err_msg = (
          "min_resources_=0: you might have passed an empty dataset X."
      )
      with pytest.raises(ValueError, match=err_msg):
          search.fit(X, [])
  
imports: from math import ceil
  import numpy
  import pytest
  from scipy.stats import expon, norm, randint
  from sklearn.datasets import make_classification
  from sklearn.dummy import DummyClassifier
  from sklearn.experimental import enable_halving_search_cv
  from sklearn.model_selection import GroupKFold, GroupShuffleSplit, HalvingGridSearchCV, HalvingRandomSearchCV, KFold, LeaveOneGroupOut, LeavePGroupsOut, ShuffleSplit, StratifiedKFold, StratifiedShuffleSplit
  from sklearn.model_selection._search_successive_halving import _SubsampleMetaSplitter, _top_k
  from sklearn.model_selection.tests.test_search import check_cv_results_array_types, check_cv_results_keys
  from sklearn.svm import SVC, LinearSVC
label_desc: Use image node_id 16 for calling a global function with example usage: test_min_resources_null(SearchCV) without return types