text: # Copyright (c) 2020 ING Bank N.V.
  #
  # Permission is hereby granted, free of charge, to any person obtaining a copy of
  # this software and associated documentation files (the "Software"), to deal in
  # the Software without restriction, including without limitation the rights to
  # use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of
  # the Software, and to permit persons to whom the Software is furnished to do so,
  # subject to the following conditions:
  #
  # The above copyright notice and this permission notice shall be included in all
  # copies or substantial portions of the Software.
  #
  # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
  # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS
  # FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR
  # COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER
  # IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN
  # CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
  
  from .exceptions import NotFittedError, DimensionalityError, UnsupportedModelError
  from .scoring import Scorer, get_scorers
  from .arrayfuncs import assure_numpy_array, assure_pandas_df, check_1d, warn_if_missing, check_numeric_dtypes, \
      assure_column_names_consistency, assure_pandas_series
  from .shap_helpers import shap_calc, shap_to_df, calculate_shap_importance
  from .warnings import ApproximationWarning
  from ._utils import class_name_from_object, assure_list_of_strings, assure_list_values_allowed
  from .sampling import sample_row
  from .tree import TreePathFinder
  from .plots import plot_distributions_of_feature
  
  __all__ = ['NotFittedError', 'DimensionalityError', 'UnsupportedModelError', 'Scorer', 'assure_numpy_array', 'assure_pandas_df', 'check_1d',
             'ApproximationWarning', 'class_name_from_object', 'get_scorers', 'assure_list_of_strings',
             'assure_list_values_allowed', 'warn_if_missing','TreePathFinder', 'check_numeric_dtypes',
             'plot_distributions_of_feature', 'assure_column_names_consistency', 'shap_calc', 'shap_to_df', 'calculate_shap_importance',
             'assure_pandas_series', 'sample_row']
  