code: def test_automatically_select_variables_and_gaussian_imputation_on_left_tail(
      df_na,
  ):
      imputer = EndTailImputer(
          imputation_method="gaussian", tail="left", fold=3
      )
      imputer.fit(df_na)
      imputer.imputer_dict_ = {
          key: round(value, 3)
          for (key, value) in imputer.imputer_dict_.items()
      }
      assert imputer.imputer_dict_ == {
          "Age": -1.521,
          "Marks": 0.042,
      }
  
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 4 for calling a global function with example usage: test_automatically_select_variables_and_gaussian_imputation_on_left_tail(df_na) without return types