code: def _convert_indices_to_json(
      problem: OneOperationProblem, si: dict
  ) -> dict:
      sobol_indices = []
      for index in range(problem.num_vars):
          var_indices = {
              f"{problem.names[index]}": {
                  "S1": list(si["S1"])[index],
                  "S1_conf": list(si["S1_conf"])[index],
                  "ST": list(si["ST"])[index],
                  "ST_conf": list(si["ST_conf"])[index],
              }
          }
          sobol_indices.append(var_indices)
  
      data = {
          "problem": problem.dictionary,
          "sobol_indices": sobol_indices,
      }
  
      return data
  
imports: from copy import deepcopy
  from os.path import join
  from threading import Lock, Thread
  from typing import List, Union
  import matplotlib.pyplot
  import numpy
  from golem.core.log import default_log
  from sklearn.metrics import mean_squared_error
  from fedot.core.data.data import InputData
  from fedot.core.operations.operation_template import extract_operation_params
  from fedot.core.pipelines.node import PipelineNode
  from fedot.core.pipelines.pipeline import Pipeline
  from fedot.core.utils import default_fedot_data_dir
  from fedot.structural_analysis.node_sa_approaches import NodeAnalyzeApproach
  from fedot.structural_analysis.operations_hp_sensitivity.problem import OneOperationProblem
  from fedot.structural_analysis.operations_hp_sensitivity.sa_and_sample_methods import analyze_method_by_name, sample_method_by_name
  from fedot.structural_analysis.sa_requirements import HyperparamsAnalysisMetaParams, SensitivityAnalysisRequirements
label_desc: Use image node_id 9 for calling the OneOperationHPAnalyze obj's underlying member method code with example usage: obj._convert_indices_to_json(problem, si) and returns: data