code: def create_jsonlines_feature_files(path: PathOrStr):
      """
      Create dummy jsonlines feature files and save them under ``path``.
  
      Parameters
      ----------
      path : :class:`skll.types.PathOrStr`
          Full path under which to save the created feature files.
      """
      # convert to Path object
      path = Path(path)
  
      # we only need to create the feature files if they
      # don't already exist under the given path
      feature_files_to_create = [
          path / f"f{i}.jsonlines" for i in range(6)
      ]
      if all([ff.exists() for ff in feature_files_to_create]):
          return
      else:
          num_examples = 1000
          np.random.seed(1234567890)
  
          # Create lists we will write files from
          ids = []
          features = []
          labels = []
          for j in range(num_examples):
              y = "dog" if j % 2 == 0 else "cat"
              ex_id = f"{y}{j}"
              x = {
                  f"f{feat_num}": np.random.randint(0, 4)
                  for feat_num in range(5)
              }
              x = OrderedDict(sorted(x.items(), key=lambda t: t[0]))
              ids.append(ex_id)
              labels.append(y)
              features.append(x)
  
          for i in range(5):
              file_path = path / f"f{i}.jsonlines"
              sub_features = []
              for example_num in range(num_examples):
                  feat_num = i
                  x = {
                      f"f{feat_num}": features[example_num][
                          f"f{feat_num}"
                      ]
                  }
                  sub_features.append(x)
              fs = FeatureSet(
                  "ablation_cv",
                  ids,
                  features=sub_features,
                  labels=labels,
              )
  
              writer = NDJWriter(file_path, fs)
              writer.write()
  
          # now write out the last file which is basically
          # identical to the last featureset we wrote
          # except that it has two extra instances
          fs = FeatureSet(
              "extra",
              ids + [f"cat{num_examples}", f"dog{num_examples + 1}"],
              features=sub_features + [{}, {}],
              labels=labels + ["cat", "dog"],
          )
          file_path = path / "f5.jsonlines"
          writer = NDJWriter(file_path, fs)
          writer.write()
  
imports: import os
  import re
  from collections import OrderedDict
  from math import floor, log10
  from pathlib import Path
  from typing import Any, Dict, List, Optional, Tuple
  import numpy
  from numpy.random import RandomState
  from sklearn.datasets import fetch_california_housing, load_digits, make_classification, make_regression
  from sklearn.feature_extraction import FeatureHasher
  from sklearn.model_selection import KFold, ShuffleSplit, StratifiedKFold
  from sklearn.utils import shuffle
  from skll.config import _setup_config_parser, fix_json
  from skll.data import FeatureSet, NDJWriter
  from skll.types import PathOrStr
label_desc: Use image node_id 7 for calling a global function with example usage: create_jsonlines_feature_files(path) without return types