code: def test_doc() -> None:
      # EXPERIMENT_SETTINGS_SNIPPET1_BEGIN
      exp = hip.fetchers.load_demo(
          "demo"
      )  # Let's create a dummy experiment
  
      # Change column type
      exp.parameters_definition[
          "optionA"
      ].type = hip.ValueType.NUMERIC_LOG
      # Force a column minimum/maximum values
      exp.parameters_definition["pct_success"].force_range(0, 100)
      # Change d3 colormap (https://github.com/d3/d3-scale-chromatic) for non-categorical columns
      exp.parameters_definition[
          "exp_metric"
      ].colormap = "interpolateSinebow"
      # EXPERIMENT_SETTINGS_SNIPPET1_END
      exp.validate()
  
imports: import tempfile
  import shutil
  from contextlib import contextmanager
  from unittest.mock import patch
  import typing
  import pytest
  import pandas
  import optuna
  import hiplot
label_desc: Use image node_id 14 for calling a global function with example usage: test_doc() without return types