code: def stringify_slice_key_value(slice_key: slicer.SliceKeyType) -> str:
      """Stringifies a slice key value.
  
      The string representation of a SingletonSliceKeyType is "feature:value". This
      function returns value.
  
      When
      multiple columns / features are specified, the string representation of a
      SliceKeyType's value is "v1_X_v2_X_..." where v1, v2, ... are values. For
      example,
      ('gender, 'f'), ('age', 5) becomes f_X_5. If no columns / feature
      specified, return "Overall".
  
      Note that we do not perform special escaping for slice values that contain
      '_X_'. This stringified representation is meant to be human-readbale rather
      than a reversible encoding.
  
      The columns will be in the same order as in SliceKeyType. If they are
      generated using SingleSliceSpec.generate_slices, they will be in sorted order,
      ascending.
  
      Technically float values are not supported, but we don't check for them here.
  
      Args:
        slice_key: Slice key to stringify. The constituent SingletonSliceKeyTypes
          should be sorted in ascending order.
  
      Returns:
        String representation of the slice key's value.
      """
      if not slice_key:
          return "Overall"
  
      # Since this is meant to be a human-readable string, we assume that the
      # feature values are valid UTF-8 strings (might not be true in cases where
      # people store serialised protos in the features for instance).
      # We need to call as_str_any to convert non-string (e.g. integer) values to
      # string first before converting to text.
      # We use u'{}' instead of '{}' here to avoid encoding a unicode character with
      # ascii codec.
      values = [
          "{}".format(tf.compat.as_text(tf.compat.as_str_any(value)))
          for _, value in slice_key
      ]
      return "_X_".join(values)
  
file_path: model-analysis/tensorflow_model_analysis/addons/fairness/view/widget_view.py
imports: from typing import Optional, Dict, Callable, Any, List, Tuple
  import tensorflow
  from tensorflow_model_analysis.addons.fairness.notebook import visualization
  from tensorflow_model_analysis.slicer import slicer_lib
  from tensorflow_model_analysis.view import view_types
label_desc: Use image node_id 1 for calling a global function with example usage: stringify_slice_key_value(slice_key) and returns: str, str