code: def data():
      return load_iris(return_X_y=True)
  
file_path: scikit-learn/sklearn/metrics/_plot/tests/test_roc_curve_display.py
imports: import numpy
  import pytest
  from numpy.testing import assert_allclose
  from sklearn.compose import make_column_transformer
  from sklearn.datasets import load_breast_cancer, load_iris
  from sklearn.exceptions import NotFittedError
  from sklearn.linear_model import LogisticRegression
  from sklearn.metrics import RocCurveDisplay, auc, roc_curve
  from sklearn.model_selection import train_test_split
  from sklearn.pipeline import make_pipeline
  from sklearn.preprocessing import StandardScaler
  from sklearn.utils import shuffle
  from sklearn.utils.fixes import trapezoid
label_desc: Use image node_id 1 for calling a global function with example usage: data() and returns: load_iris