code: def verify_full_extraction():
      """This is an experimental endpoint to simultaneously verify data
      statistics and extraction for training, test, and holdout datasets.
      With this, the other three verification methods will no longer be
      necessary.
      """
      path = functions.get_path_from_query_string(request)
  
      if request.method == "POST":
          rqtasks.extraction_data_statistics(path)
  
      with functions.DBContextManager(path) as session:
          extraction = session.query(models.Extraction).first()
          return jsonify(extraction.data_statistics)
  
imports: from __future__ import absolute_import, print_function, division, unicode_literals
  import os
  from flask import request, jsonify, send_from_directory, g
  from redis import Redis
  from rq import Connection
  from sqlalchemy import create_engine
  from sklearn.model_selection import ParameterGrid
  from sklearn.model_selection import ParameterSampler
  from xcessiv import app, functions, exceptions, models, rqtasks
  from xcessiv.presets import learnersetting, metricsetting, cvsetting
  import six
label_desc: Use image node_id 10 for calling a global function with example usage: verify_full_extraction() and returns: jsonify