code: def test_ecoc_fit_predict():
      # A classifier which implements decision_function.
      ecoc = OutputCodeClassifier(
          LinearSVC(dual="auto", random_state=0),
          code_size=2,
          random_state=0,
      )
      ecoc.fit(iris.data, iris.target).predict(iris.data)
      assert len(ecoc.estimators_) == n_classes * 2
  
      # A classifier which implements predict_proba.
      ecoc = OutputCodeClassifier(
          MultinomialNB(), code_size=2, random_state=0
      )
      ecoc.fit(iris.data, iris.target).predict(iris.data)
      assert len(ecoc.estimators_) == n_classes * 2
  
imports: from re import escape
  import numpy
  import pytest
  import scipy.sparse
  from numpy.testing import assert_allclose
  from sklearn import datasets, svm
  from sklearn.datasets import load_breast_cancer
  from sklearn.exceptions import NotFittedError
  from sklearn.impute import SimpleImputer
  from sklearn.linear_model import ElasticNet, Lasso, LinearRegression, LogisticRegression, Perceptron, Ridge, SGDClassifier
  from sklearn.metrics import precision_score, recall_score
  from sklearn.model_selection import GridSearchCV, cross_val_score
  from sklearn.multiclass import OneVsOneClassifier, OneVsRestClassifier, OutputCodeClassifier
  from sklearn.naive_bayes import MultinomialNB
  from sklearn.neighbors import KNeighborsClassifier
  from sklearn.pipeline import Pipeline, make_pipeline
  from sklearn.svm import SVC, LinearSVC
  from sklearn.tree import DecisionTreeClassifier, DecisionTreeRegressor
  from sklearn.utils import check_array, shuffle
  from sklearn.utils._mocking import CheckingClassifier
  from sklearn.utils._testing import assert_almost_equal, assert_array_equal
  from sklearn.utils.fixes import COO_CONTAINERS, CSC_CONTAINERS, CSR_CONTAINERS, DOK_CONTAINERS, LIL_CONTAINERS
  from sklearn.utils.multiclass import check_classification_targets, type_of_target
label_desc: Use image node_id 32 for calling a global function with example usage: test_ecoc_fit_predict() without return types