code: def test_len_classification(transformer, random_xy_dataset_clf):
      X, y = random_xy_dataset_clf
      X = pd.DataFrame(X)
      assert transformer.fit(X, y).transform(X).shape[0] == X.shape[0]
  
file_path: scikit-lego/tests/test_preprocessing/test_pandastypeselector.py
imports: import itertools
  import numpy
  import pandas
  import pytest
  from sklego.preprocessing import PandasTypeSelector
  from tests.conftest import id_func
label_desc: Use image node_id 2 for calling a global function with example usage: test_len_classification(transformer, random_xy_dataset_clf) without return types