code: def _more_tags(self):
      tags_dict = _return_tags()
      tags_dict["variables"] = "numerical"
      # =======  this tests fail because the transformers throw an error
      # when variance of the any input feature is 0.
      # Nothing to do with the test itself but
      # mostly with the data created and used in the test
      msg = (
          "transformers raise errors when data variation is low, "
          "thus this check fails"
      )
      tags_dict["_xfail_checks"]["check_fit2d_1sample"] = msg
      return tags_dict
  
imports: from typing import List, Optional, Union
  import pandas
  from sklearn.base import BaseEstimator, TransformerMixin
  from sklearn.utils.validation import check_is_fitted
  from feature_engine._variable_handling.init_parameter_checks import _check_init_parameter_variables
  from feature_engine._variable_handling.variable_type_selection import _find_or_check_numerical_variables
  from feature_engine.dataframe_checks import _check_contains_inf, _check_contains_na, _check_X_matches_training_df, check_X
  from feature_engine._base_transformers.mixins import GetFeatureNamesOutMixin
  from feature_engine.tags import _return_tags
label_desc: Use image node_id 3 for calling the WinsorizerBase obj's underlying member method code with example usage: obj._more_tags() and returns: tags_dict