class_docstr: WIT widget base class for common code between Jupyter and Colab.
docstr: Returns sorted list of interesting features for mutant inference.
docstr_tok: ["Returns","sorted","list","of","interesting","features","for","mutant","inference","."]
code: def sort_eligible_features_impl(self, info):
      """Returns sorted list of interesting features for mutant inference."""
      features_list = info["features"]
      chart_data = {}
      for feat in features_list:
          chart_data[feat["name"]] = self.infer_mutants_impl(
              {
                  "x_min": feat["observedMin"]
                  if "observedMin" in feat
                  else 0,
                  "x_max": feat["observedMax"]
                  if "observedMin" in feat
                  else 0,
                  "feature_index_pattern": None,
                  "feature_name": feat["name"],
                  "example_index": info["example_index"],
              }
          )
      return inference_utils.sort_eligible_features(
          features_list, chart_data
      )
  
imports: import base64
  import json
  import googleapiclient.discovery
  import os
  import logging
  import multiprocessing
  import tensorflow
  from IPython import display
  from google.protobuf import json_format
  from numbers import Number
  from oauth2client.client import GoogleCredentials
  from six import ensure_str
  from six import integer_types
  from utils import inference_utils
label_desc: Use image node_id 9 for calling the WitWidgetBase obj's underlying member method code with example usage: obj.sort_eligible_features_impl(info) and returns: inference_utils