code: def test_simple_preprocessor():
      sp = EasyPreprocessor()
      sp.fit(X_cat)
      trans = sp.transform(X_cat)
      assert trans.shape == (3, 2)
  
      iris = load_iris()
      sp = EasyPreprocessor()
      sp.fit(iris.data)
  
imports: import os
  import pytest
  import random
  import string
  import warnings
  import numpy
  import pandas
  from sklearn.datasets import load_iris, load_digits
  from sklearn.model_selection import train_test_split
  from sklearn.pipeline import make_pipeline
  from sklearn.linear_model import LogisticRegression
  from dabl.preprocessing import USELESS_TYPES, detect_types, EasyPreprocessor, DirtyFloatCleaner, clean, _FLOAT_REGEX, _float_matching, detect_type_series
  from dabl.utils import data_df_from_bunch
  from dabl.datasets import load_titanic
  from dabl import plot
label_desc: Use image node_id 17 for calling a global function with example usage: test_simple_preprocessor() without return types