code: def test_drop_duplicates_features(df_duplicate_features):
      transformer = DropDuplicateFeatures()
      X = transformer.fit_transform(df_duplicate_features)
  
      # expected result
      df = pd.DataFrame(
          {
              "Name": ["tom", "nick", "krish", "jack"],
              "dob2": pd.date_range("2020-02-24", periods=4, freq="T"),
              "City": ["London", "Manchester", "Liverpool", "Bristol"],
              "Age": [20, 21, 19, 18],
              "Marks": [0.9, 0.8, 0.7, 0.6],
          }
      )
      pd.testing.assert_frame_equal(X, df)
  
file_path: feature_engine/tests/test_selection/test_drop_duplicate_features.py
imports: import numpy
  import pandas
  import pytest
  from feature_engine.selection import DropDuplicateFeatures
label_desc: Use image node_id 3 for calling a global function with example usage: test_drop_duplicates_features(df_duplicate_features) without return types