code: def test_dtype_classification(random_xy_dataset_clf):
      X, y = random_xy_dataset_clf
      assert ColumnCapper().fit(X, y).transform(X).dtype in FLOAT_DTYPES
  
file_path: scikit-lego/tests/test_preprocessing/test_columncapper.py
imports: import numpy
  import pandas
  import pytest
  from sklearn.utils.validation import FLOAT_DTYPES
  from sklego.common import flatten
  from sklego.preprocessing import ColumnCapper
  from tests.conftest import general_checks, nonmeta_checks, select_tests, transformer_checks
label_desc: Use image node_id 8 for calling a global function with example usage: test_dtype_classification(random_xy_dataset_clf) without return types