code: def test_user_enters_variables_and_iqr_imputation_on_left_tail(df_na):
      # test case 5: IQR + left tail
      imputer = EndTailImputer(
          imputation_method="iqr",
          tail="left",
          fold=1.5,
          variables=["Age", "Marks"],
      )
      imputer.fit(df_na)
      assert imputer.imputer_dict_["Age"] == -6.5
      assert np.round(imputer.imputer_dict_["Marks"], 3) == np.round(
          0.36249999999999993, 3
      )
  
file_path: feature_engine/tests/test_imputation/test_end_tail_imputer.py
imports: import numpy
  import pandas
  import pytest
  from feature_engine.imputation import EndTailImputer
label_desc: Use image node_id 5 for calling a global function with example usage: test_user_enters_variables_and_iqr_imputation_on_left_tail(df_na) without return types