code: def test_categorical_ames_housing(
      self,
      hist_parameters: Dict[str, Any],
      cat_parameters: Dict[str, Any],
      tree_method: str,
  ) -> None:
      cat_parameters.update(hist_parameters)
      dataset = tm.TestDataset(
          "ames_housing",
          tm.data.get_ames_housing,
          "reg:squarederror",
          "rmse",
      )
      cat_parameters["tree_method"] = tree_method
      results = train_result(cat_parameters, dataset.get_dmat(), 16)
      tm.non_increasing(results["train"]["rmse"])
  
imports: import json
  from string import ascii_lowercase
  from typing import Any, Dict
  import numpy
  import pytest
  from hypothesis import given, note, settings, strategies
  import xgboost
  from xgboost import testing
  from xgboost.testing.params import cat_parameter_strategy, exact_parameter_strategy, hist_cache_strategy, hist_parameter_strategy
  from xgboost.testing.updater import check_categorical_missing, check_categorical_ohe, check_get_quantile_cut, check_init_estimation, check_quantile_loss, train_result
label_desc: Use image node_id 14 for calling the TestTreeMethod obj's underlying member method code with example usage: obj.test_categorical_ames_housing(hist_parameters, cat_parameters, tree_method) without return types